{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ec8feeb8",
   "metadata": {
    "tags": [
     "library/xarray",
     "library/dask",
     "library/dask-distributed",
     "library/cuml",
     "library/zarr",
     "workflow/randomforest"
    ]
   },
   "source": [
    "# GPU-Accelerated Land Use Land Cover Classification\n",
    "\n",
    "Working with satellite imagery at scale quickly exposes the limitations of CPU-bound workflows. A single Sentinel-2 tile spans gigabytes and assembling a season's worth of acquisitions means streaming dozens of those tiles, masking pixels covered by clouds, and compositing them before you can even think about training a model. Processing data of such scale on CPUs means hours of preprocessing before training, making GPUs an attractive solution to accelerate the workflow.\n",
    "\n",
    "Due to the parallel nature of satellite data, GPUs can dramatically accelerate the compute-bound stages of a machine learning workflow. RAPIDS libraries like [cuDF](https://docs.rapids.ai/api/cudf/stable/) and [cuML](https://docs.rapids.ai/api/cuml/stable/) with the help of other libraries like [Dask](https://www.dask.org/) and [Xarray](https://docs.xarray.dev/en/stable/) map operations to CUDA kernels, so feature derivation and tree training execute across thousands of cores at once. By keeping the samples in GPU memory between those stages, we avoid the overhead of shuffling data back and forth across the host and device memory. Not every stage benefits equally, and it is worth being precise about which do: streaming scenes from a remote catalogue is bound by network and disk throughput, while model training and inference are compute-bound and are where the GPU earns its usage.\n",
    "\n",
    "This notebook establishes a end-to-end workflow to train a classification model on satellite imagery. We start by streaming Sentinel-2 imagery from [Microsoft Planetary Computer](https://planetarycomputer.microsoft.com/) into a [Dask-CUDA](https://docs.rapids.ai/api/dask-cuda/stable/) cluster, using Dask backed xarray to clean and aggregate the rasters. We then move the samples on device to train a cuML random forest and finish by writing predictions straight back to Cloud-Optimized GeoTIFFs, ready for validation and sharing.\n",
    "\n",
    "For this workflow, we use two open and freely available data sources as features and labels, downloaded from Microsoft Planetary Computer. [Sentinel-2 Level-2A](https://dataspace.copernicus.eu/data-collections/copernicus-sentinel-data/sentinel-2) imagery supplies 10 m multispectral observations (B02, B03, B04, B08 are the 10 metre bands that correspond to blue, green, red and near-infrared wavelengths) annually with a 5 day revisit frequency, which we condense into cloud-free yearly composites and enrich with indices like NDVI and NDWI for the year 2022. [ESA WorldCover](https://esa-worldcover.org/en) provides annual 10 m land-cover labels, with its 2023 release reflecting the landscape from 2022, giving us labels for supervised training. Together they provide the coverage and scale to illustrate the benefits of using GPUs for this task.\n",
    "\n",
    "The machine learning use case illustrated in this notebook, Land use and land cover (LULC) classification, is the task of labelling each pixel in an image according to the surface type it represents. Typical labels include water, trees, crops, built areas, bare ground, and rangeland. These maps help planners monitor urban growth, estimate crop acreage, or track ecosystem change.\n",
    "\n",
    "The next two sections cover what you need installed and what kind of machine to run it on."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "lulc-environment-setup",
   "metadata": {},
   "source": [
    "## Before You Begin\n",
    "\n",
    "### What this notebook uses\n",
    "\n",
    "Three RAPIDS libraries do the GPU work and you do not need a full RAPIDS installation for this workflow:\n",
    "\n",
    "- **[cuML](https://docs.rapids.ai/api/cuml/stable/)** trains the `RandomForestClassifier` and scores it.\n",
    "- **[cuDF](https://docs.rapids.ai/api/cudf/stable/)** holds the flattened pixel samples as GPU DataFrames, which cuML consumes directly with no host round-trip.\n",
    "- **[Dask-CUDA](https://docs.rapids.ai/api/dask-cuda/stable/)** provides `LocalCUDACluster`, which parallelises Stage 1 across the GPUs on the machine.\n",
    "\n",
    "Around those sits a geospatial stack that feeds them. These are ordinary PyData packages rather than RAPIDS ones, and the handoff between the two worlds happens through Xarray:\n",
    "\n",
    "| Package | Role |\n",
    "| --- | --- |\n",
    "| `stackstac`, `pystac-client`, `planetary-computer` | Query the STAC catalogue and lazily load matching scenes into an Xarray/Dask cube |\n",
    "| `rioxarray`, `rasterio` | Raster I/O, reprojection, and CRS handling |\n",
    "| `geopandas`, `shapely`, `pyproj` | Read the AOI polygons and project them into UTM |\n",
    "| `zarr` | Persist the annual composites between stages |\n",
    "| `cupy-xarray` | Adds the `.cupy` accessor that moves an Xarray object onto the GPU, which is where cuDF and cuML pick it up |\n",
    "| `rio-cogeo` | Write the final Cloud-Optimized GeoTIFF |\n",
    "\n",
    "You will also need a GeoJSON defining your areas of interest (one is bundled with this example, see Step 1) and network access to [Microsoft Planetary Computer](https://planetarycomputer.microsoft.com/), which serves both the Sentinel-2 imagery and the WorldCover labels without requiring an account. Writing the output COG to S3 is optional.\n",
    "\n",
    "### Where this runs\n",
    "\n",
    "Everything below runs on a **single machine with one or more NVIDIA GPUs**. Stage 1 starts a `LocalCUDACluster`, which launches one Dask worker per visible GPU on that same machine.\n",
    "\n",
    "If you need to get to such a machine first, these guides cover it:\n",
    "\n",
    "- [Dask-CUDA and `LocalCUDACluster`](../../tools/dask-cuda) - configuration options, pinning specific GPUs, memory limits\n",
    "- cloud VMs: [AWS EC2](../../cloud/aws/ec2), [Azure VM](../../cloud/azure/azure-vm), [GCP Compute Engine](../../cloud/gcp/compute-engine)\n",
    "\n",
    "Adapting this notebook to a multi-node cluster is also an option, see the [deployment documentation](https://docs.rapids.ai/deployment/stable/) for more information\n",
    "\n",
    "### How to size the machine\n",
    "\n",
    "The figures quoted throughout this notebook were measured on a dual-socket workstation with 2× Intel Xeon E5-2698 v4 (40 cores / 80 threads), 503 GB of RAM, and 8× NVIDIA Tesla V100-SXM2 with 32 GB of VRAM each.\n",
    "\n",
    "**You do not need a machine that size.** Training peaks at 1.83 GB of VRAM and inference at roughly 2.3 GB, both on a single device, so any modern NVIDIA GPU with 8 GB or more runs Stages 2 and 3 comfortably. Additional GPUs only matter to Stage 1 and more visible devices means more Dask workers streaming and compositing scenes in parallel.\n",
    "\n",
    "Host RAM is the real constraint. The raw multi-scene stack peaks at roughly 44 GB during Stage 1, scaling with how many scenes your AOI and date range pull in. Once compositing collapses it to annual medians, the data on disk is only a fraction of that size. Size your RAM to the scene stack, and do not assume you need a multi-GPU node.\n",
    "\n",
    "### Creating the environment\n",
    "\n",
    "The `environment.yml` shipped next to this notebook pins the packages listed above:\n",
    "\n",
    "```bash\n",
    "conda env create -f environment.yml\n",
    "conda activate rapids-lulc\n",
    "python -m ipykernel install --user --name rapids-lulc\n",
    "```\n",
    "\n",
    "Substitute `mamba` for `conda` if you prefer. Once the kernel is installed, select `rapids-lulc` from the Jupyter kernel picker before running any cells below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fffa1db1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import dataclasses\n",
    "import gc\n",
    "import json\n",
    "import pickle\n",
    "from pathlib import Path\n",
    "\n",
    "import boto3\n",
    "import cudf\n",
    "import cupy as cp\n",
    "import cupy_xarray  # noqa: F401  activates the .cupy accessor\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import planetary_computer\n",
    "import pyproj\n",
    "import rasterio\n",
    "import rioxarray  # noqa: F401  activates the .rio accessor\n",
    "import seaborn as sns\n",
    "import stackstac\n",
    "import xarray as xr\n",
    "from cuml.ensemble import RandomForestClassifier\n",
    "from cuml.metrics import accuracy_score\n",
    "from dask.distributed import Client as DaskClient\n",
    "from dask.distributed import progress, wait\n",
    "from dask_cuda import LocalCUDACluster\n",
    "from matplotlib.colors import BoundaryNorm, ListedColormap\n",
    "from pystac_client import Client\n",
    "from rio_cogeo.cogeo import cog_translate\n",
    "from rio_cogeo.profiles import cog_profiles\n",
    "from shapely.ops import transform\n",
    "from sklearn.metrics import classification_report, confusion_matrix, f1_score\n",
    "from stackstac.raster_spec import RasterSpec"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9e6e73b",
   "metadata": {},
   "source": [
    "## Stage 1 · Ingest and Prepare Training Data\n",
    "\n",
    "We begin by getting the raw ingredients into a form we can model on. That means streaming Sentinel-2 scenes and WorldCover labels straight from the Planetary Computer, reprojecting them onto a common grid, and reshaping them into chunk sizes that Dask can scatter across its workers. The goal is to build clean yearly composites and companion label layers once, persist them as [Zarr](https://zarr.dev/) stores, and avoid recomputing expensive preprocessing later in the notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7dd767e6",
   "metadata": {},
   "source": [
    "### 1. Set Workspace Paths and Parameters\n",
    "\n",
    "Run this cell to lock in the project-wide constants the pipeline needs: where to find your AOI GeoJSON, which Sentinel-2 bands and WorldCover assets to request, how to chunk raster stacks, and where to stage intermediate outputs. Update the paths and `S3_BUCKET`/`S3_PREFIX` now so the rest of the notebook writes to the right locations. Confirm the directories exist (the code creates any missing output folders for you) and keep the date range and cloud filter aligned with the scenes you plan to process.\n",
    "\n",
    "This example trains on **two** areas of interest from 2022, totalling roughly 974 km². They are supplied by `aoi_combined.geojson`, which can be downloaded alongside this notebook. Point `AOI_GEOJSON` at that file to reproduce the results below without drawing anything yourself. To use your own areas instead, Step 3 walks through creating a GeoJSON on [geojson.io](https://geojson.io/#map=2/0/20).\n",
    "\n",
    "| AOI | Extent | Area | UTM zone | Dominant cover |\n",
    "| --- | --- | --- | --- | --- |\n",
    "| Minneapolis, MN | W −93.42, S 44.85, E −93.09, N 45.06 | 606 km² | EPSG:32615 | Built area |\n",
    "| Hudson Valley, NY | W −74.15, S 41.86, E −73.90, N 42.02 | 368 km² | EPSG:32618 | Trees, water, crops and rangeland |\n",
    "\n",
    "An earlier version of this example trained on the urban AOI alone, where roughly 85% of pixels are Built area. The resulting model reported a flattering 90.8% accuracy while never once predicting flooded vegetation, crops, or bare ground. Adding a land-cover diverse AOI with the Catskills, the Hudson River and the Ashokan Reservoir supplies the classes the AOI from the urban areas was missing. We revisit the consequences of this in Stage 2."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6234a76",
   "metadata": {},
   "outputs": [],
   "source": [
    "AOI_GEOJSON = Path(\"<path to your AOI GeoJSON file>\")\n",
    "FEATURES_ZARR = Path(\"<desired path for the features zarr store>\")\n",
    "MODEL_PATH = Path(\"<desired path for the model file ending with .pkl>\")\n",
    "INFERENCE_OUTPUT_DIR = Path(\"<desired path for the inference output directory>\")\n",
    "AWS_REGION = \"<your AWS region>\"\n",
    "S3_BUCKET = \"<your S3 bucket name>\"\n",
    "S3_PREFIX = \"lulc\"\n",
    "MODEL_PATH.parent.mkdir(parents=True, exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "32815658",
   "metadata": {},
   "outputs": [],
   "source": [
    "# General configuration / outputs\n",
    "DATE_RANGE = (\"2022-01-01\", \"2022-12-31\")\n",
    "MAX_CLOUD_FILTER = (\n",
    "    50  # Set this value higher to fetch more scenes with higher cloud cover\n",
    ")\n",
    "S2_ASSETS = [\"B02\", \"B03\", \"B04\", \"B08\", \"SCL\"]\n",
    "\n",
    "TARGET_RESOLUTION = 10\n",
    "STACK_CHUNKS = {\"time\": 1, \"band\": 1, \"y\": 2048, \"x\": 2048}\n",
    "\n",
    "WORLDCOVER_COLLECTION = \"io-lulc-annual-v02\"\n",
    "WORLDCOVER_ASSET = \"data\"\n",
    "\n",
    "FEATURES_ZARR.mkdir(parents=True, exist_ok=True)\n",
    "INFERENCE_OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
    "MODEL_PATH.parent.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "CATALOG_URL = \"https://planetarycomputer.microsoft.com/api/stac/v1\"\n",
    "\n",
    "BANDS = [\"B02\", \"B03\", \"B04\", \"B08\"]\n",
    "ALL_FEATURES = [\"B02\", \"B03\", \"B04\", \"B08\", \"NDVI\", \"NDWI\"]\n",
    "NODATA_VALUE = 0\n",
    "VALID_CLASSES = [1, 2, 4, 5, 7, 8, 11]\n",
    "\n",
    "COG_PROFILE = cog_profiles.get(\"deflate\")\n",
    "s3_client = boto3.client(\"s3\", region_name=AWS_REGION)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b186111a",
   "metadata": {},
   "source": [
    "### 2. Launch a Dask-CUDA Cluster\n",
    "\n",
    "Start the local Dask-CUDA cluster now so every downstream step can submit work through the distributed client. Run this cell and confirm the dashboard link appears. `LocalCUDACluster` starts one worker per visible GPU; if you need to pin workers to specific devices or change memory limits, modify its arguments before proceeding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "88c28f5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/raid/jjayabaskar/gis12/lib/python3.12/site-packages/distributed/node.py:187: UserWarning: Port 8787 is already in use.\n",
      "Perhaps you already have a cluster running?\n",
      "Hosting the HTTP server on port 45991 instead\n",
      "  warnings.warn(\n"
     ]
    },
    {
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       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-2333aeb6-804d-11f1-a199-d8c49778cfa7</p>\n",
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       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
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       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45991/status\" target=\"_blank\">http://127.0.0.1:45991/status</a>\n",
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       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:42971\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
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       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:37175/status\" target=\"_blank\">http://127.0.0.1:37175/status</a>\n",
       "                        </td>\n",
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       "                            <strong>Memory: </strong> 62.97 GiB\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37415\n",
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       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-za5lmvuu\n",
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       "\n",
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       "\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:40007\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:46655/status\" target=\"_blank\">http://127.0.0.1:46655/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.97 GiB\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:32941\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-f_y63d_z\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:43395\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:34291/status\" target=\"_blank\">http://127.0.0.1:34291/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.97 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:36901\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-gfdiyini\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:42363\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:46341/status\" target=\"_blank\">http://127.0.0.1:46341/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.97 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42739\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-kl9csyhp\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:37379\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:36469/status\" target=\"_blank\">http://127.0.0.1:36469/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.97 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:32999\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-krgker1d\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:44011\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:44051/status\" target=\"_blank\">http://127.0.0.1:44051/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.97 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:37453\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-hnvsz41b\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:41505\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:43341/status\" target=\"_blank\">http://127.0.0.1:43341/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.97 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40005\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-11wn3e7i\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:34901\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:41435/status\" target=\"_blank\">http://127.0.0.1:41435/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 62.97 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41639\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-x0nzq6pz\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:38355' processes=8 threads=8, memory=503.77 GiB>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster = LocalCUDACluster()\n",
    "client = DaskClient(cluster)\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a759155",
   "metadata": {},
   "source": [
    "### 3. Load and Reproject the Areas of Interest\n",
    "\n",
    "Use this cell to validate and prepare your AOI geometries. It reads the GeoJSON configured earlier, checks that a CRS is declared, and builds one entry per polygon. Run it once to produce the `aois` list, where each entry holds a geometry, its projected bounds, its EPSG code, and a GeoJSON payload that the STAC search reuses.\n",
    "\n",
    "#### A short detour on coordinate reference systems\n",
    "\n",
    "A coordinate reference system (CRS) is the agreement that turns a pair of numbers into a place on the Earth. Geospatial tools identify them by [EPSG](https://epsg.org/) code, and for this workflow only two families matter.\n",
    "\n",
    "**EPSG:4326** (often called \"WGS 84\" or \"lat/lon\") expresses positions as degrees of latitude and longitude on an ellipsoid. It is the lingua franca of data exchange - GeoJSON files are assumed to be in it, and every STAC catalogue accepts search geometries in it. What it cannot do is measure. A degree of longitude is about 111 km at the equator and about 79 km at the latitude of Minneapolis, so the same numeric distance means different things depending on where you are. You cannot ask for \"10 metre pixels\" in a CRS whose units are degrees, and an area computed in square degrees is meaningless.\n",
    "\n",
    "**UTM zones** solve that by slicing the world into 60 north-south strips six degrees wide and projecting each onto a flat plane whose units are metres. Their EPSG codes follow a simple pattern: `326` + zone number for the northern hemisphere, `327` + zone number for the southern. Minneapolis sits in zone 15, so it is EPSG:32615; the Hudson Valley sits in zone 18, so it is EPSG:32618. Within a zone, distortion is small enough that a 10 m pixel really is 10 m on the ground, which is exactly what `TARGET_RESOLUTION = 10` assumes.\n",
    "\n",
    "This is why the cell below does two different things with the same geometry. It keeps a **4326 GeoJSON payload** to hand to the STAC search, and separately projects the polygon into **its own UTM zone** to compute the metre-based bounding box that `stackstac` needs. It also explains why each AOI is handled independently rather than merged: because our two AOIs fall in different zones, there is no single metre-based grid that covers both without stretching one of them. Forcing them into a shared CRS would distort pixel geometry at the edges and inflate the bounding box to span the 1,000 km of empty ground between Minnesota and New York.\n",
    "\n",
    "#### Drawing your own AOI\n",
    "\n",
    "To create an AOI in GeoJSON format by drawing polygons over a map interactively, use [geojson.io](https://geojson.io/#map=2/0/20). Draw one or more shapes, add a `name` property to each feature so the notebook can label its outputs, then use *Save → GeoJSON* and point `AOI_GEOJSON` at the downloaded file. Keep individual AOIs modest to begin with - a few hundred square kilometres over a year of Sentinel-2 revisits is already tens of gigabytes of imagery to stream."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa4ec133",
   "metadata": {},
   "outputs": [],
   "source": [
    "aoi_gdf = gpd.read_file(AOI_GEOJSON)\n",
    "if aoi_gdf.crs is None:\n",
    "    raise ValueError(\"AOI GeoJSON must declare a CRS.\")\n",
    "aoi_gdf = aoi_gdf.to_crs(4326)\n",
    "\n",
    "# Build one entry per polygon. Each AOI keeps its OWN UTM zone and bounding box,\n",
    "# so polygons in different zones (Minneapolis = 15, Hudson Valley = 18) are each\n",
    "# projected correctly instead of being forced into one oversized shared extent.\n",
    "aois = []\n",
    "for i, row in aoi_gdf.iterrows():\n",
    "    geom = row.geometry\n",
    "    name = row.get(\"name\", f\"aoi_{i}\")\n",
    "    centroid = geom.centroid\n",
    "    utm_zone = int((centroid.x + 180) // 6) + 1\n",
    "    epsg = int(f\"326{utm_zone:02d}\") if centroid.y >= 0 else int(f\"327{utm_zone:02d}\")\n",
    "    geojson = json.loads(gpd.GeoSeries([geom], crs=4326).to_json())[\"features\"][0][\n",
    "        \"geometry\"\n",
    "    ]\n",
    "    project = pyproj.Transformer.from_crs(4326, epsg, always_xy=True).transform\n",
    "    bounds = tuple(transform(project, geom).bounds)\n",
    "    aois.append(\n",
    "        {\n",
    "            \"name\": name,\n",
    "            \"slug\": str(name).replace(\" \", \"_\"),\n",
    "            \"geom\": geom,\n",
    "            \"geojson\": geojson,\n",
    "            \"epsg\": epsg,\n",
    "            \"bounds\": bounds,\n",
    "        }\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24bf5903",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Minneapolis | EPSG 32615 | bounds (466811, 4966291, 492914, 4989701)\n",
      "   Hudson Valley | EPSG 32618 | bounds (570373, 4634582, 591299, 4652582)\n"
     ]
    }
   ],
   "source": [
    "for a in aois:\n",
    "    print(\n",
    "        f\"{a['name']:>16} | EPSG {a['epsg']} | bounds {tuple(round(b) for b in a['bounds'])}\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "842a8294",
   "metadata": {},
   "source": [
    "### 4. Fetch Sentinel-2 tiles for each AOI\n",
    "\n",
    "Search the Planetary Computer STAC API for Sentinel-2 Level-2A scenes that overlap each AOI, match the configured date window, and meet the cloud threshold. Run this cell to pull the items, guard against empty results, and build a lazily-loaded raster stack with `stackstac` per AOI. Each stack is clipped to its own AOI bounds, resampled to the target resolution, and chunked for parallel processing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "883b2c7b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minneapolis: 92 scenes -> stack (92, 5, 2342, 2611)\n",
      "Hudson Valley: 84 scenes -> stack (84, 5, 1801, 2093)\n"
     ]
    },
    {
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       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name,\n",
       ".xr-group-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-group-name::before {\n",
       "  content: \"📁\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-name,\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;stackstac-0428415431f44c8b1dd9346ca21b32ec&#x27; (time: 92,\n",
       "                                                                band: 5,\n",
       "                                                                y: 2342, x: 2611)&gt; Size: 11GB\n",
       "dask.array&lt;asarray, shape=(92, 5, 2342, 2611), dtype=float32, chunksize=(92, 1, 1024, 1024), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time                 (time) datetime64[ns] 736B 2022-01-06T17:07:09.02400...\n",
       "  * band                 (band) &lt;U3 60B &#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27; &#x27;SCL&#x27;\n",
       "  * y                    (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06\n",
       "  * x                    (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05\n",
       "    id                   (time) &lt;U54 20kB &#x27;S2B_MSIL2A_20220106T170709_R069_T1...\n",
       "    title                (band) &lt;U29 580B &#x27;Band 2 - Blue - 10m&#x27; ... &#x27;Scene cl...\n",
       "    gsd                  (band) float64 40B 10.0 10.0 10.0 10.0 20.0\n",
       "    proj:bbox            object 8B {399960.0, 509760.0, 5000040.0, 4890240.0}\n",
       "    common_name          (band) object 40B &#x27;blue&#x27; &#x27;green&#x27; &#x27;red&#x27; &#x27;nir&#x27; None\n",
       "    center_wavelength    (band) object 40B 0.49 0.56 0.665 0.842 None\n",
       "    full_width_half_max  (band) object 40B 0.098 0.045 0.038 0.145 None\n",
       "    epsg                 int64 8B 32615\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989...\n",
       "    crs:         epsg:32615\n",
       "    transform:   | 10.00, 0.00, 466810.00|\\n| 0.00,-10.00, 4989710.00|\\n| 0.0...\n",
       "    resolution:  10</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;stackstac-0428415431f44c8b1dd9346ca21b32ec&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 92</li><li><span class='xr-has-index'>band</span>: 5</li><li><span class='xr-has-index'>y</span>: 2342</li><li><span class='xr-has-index'>x</span>: 2611</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c5bc0c8a-9a89-4543-b4a3-953226c7ea88' class='xr-array-in' type='checkbox' checked><label for='section-c5bc0c8a-9a89-4543-b4a3-953226c7ea88' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(92, 1, 1024, 1024), meta=numpy.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 10.48 GiB </td>\n",
       "                        <td> 368.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (92, 5, 2342, 2611) </td>\n",
       "                        <td> (92, 1, 1024, 1024) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 45 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "       &#x27;2022-07-05T16:58:49.024000000&#x27;, &#x27;2022-07-13T17:09:01.024000000&#x27;,\n",
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       "       &#x27;2022-07-18T17:08:59.024000000&#x27;, &#x27;2022-07-20T16:59:01.024000000&#x27;,\n",
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       "       &#x27;2022-08-04T16:58:49.024000000&#x27;, &#x27;2022-08-09T16:59:01.024000000&#x27;,\n",
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       "       &#x27;2022-08-17T17:08:49.024000000&#x27;, &#x27;2022-08-29T16:59:01.024000000&#x27;,\n",
       "       &#x27;2022-08-29T16:59:01.024000000&#x27;, &#x27;2022-09-01T17:09:01.024000000&#x27;,\n",
       "       &#x27;2022-09-03T16:58:49.024000000&#x27;, &#x27;2022-09-06T17:08:49.024000000&#x27;,\n",
       "       &#x27;2022-09-08T16:59:01.024000000&#x27;, &#x27;2022-09-11T17:09:11.024000000&#x27;,\n",
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       "       &#x27;2022-09-13T16:58:49.024000000&#x27;, &#x27;2022-09-21T17:10:21.024000000&#x27;,\n",
       "       &#x27;2022-09-26T17:10:49.024000000&#x27;, &#x27;2022-09-28T17:01:11.024000000&#x27;,\n",
       "       &#x27;2022-09-28T17:01:11.024000000&#x27;, &#x27;2022-10-06T17:11:59.024000000&#x27;,\n",
       "       &#x27;2022-10-06T17:11:59.024000000&#x27;, &#x27;2022-10-08T17:02:11.024000000&#x27;,\n",
       "       &#x27;2022-10-08T17:02:11.024000000&#x27;, &#x27;2022-10-11T17:12:41.024000000&#x27;,\n",
       "       &#x27;2022-10-18T17:03:21.024000000&#x27;, &#x27;2022-10-18T17:03:21.024000000&#x27;,\n",
       "       &#x27;2022-10-21T17:13:41.024000000&#x27;, &#x27;2022-10-23T17:03:49.024000000&#x27;,\n",
       "       &#x27;2022-10-26T17:14:09.024000000&#x27;, &#x27;2022-10-28T17:04:21.024000000&#x27;,\n",
       "       &#x27;2022-10-31T17:14:41.024000000&#x27;, &#x27;2022-11-20T17:16:21.024000000&#x27;,\n",
       "       &#x27;2022-11-22T17:06:29.024000000&#x27;, &#x27;2022-11-25T17:16:39.024000000&#x27;,\n",
       "       &#x27;2022-11-30T17:17:01.024000000&#x27;, &#x27;2022-12-07T17:07:11.024000000&#x27;,\n",
       "       &#x27;2022-12-20T17:17:31.024000000&#x27;, &#x27;2022-12-30T17:17:21.024000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27; &#x27;SCL&#x27;</div><input id='attrs-4515b9e2-448b-4d95-9522-2b9369f4a38b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4515b9e2-448b-4d95-9522-2b9369f4a38b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdfe238e-f6f2-4cee-9f21-43140b985283' class='xr-var-data-in' type='checkbox'><label for='data-cdfe238e-f6f2-4cee-9f21-43140b985283' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;B02&#x27;, &#x27;B03&#x27;, &#x27;B04&#x27;, &#x27;B08&#x27;, &#x27;SCL&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.99e+06 4.99e+06 ... 4.966e+06</div><input id='attrs-dc64937a-44ca-4e66-b7fa-312d4ee844da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc64937a-44ca-4e66-b7fa-312d4ee844da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-113389b1-c6cf-4db2-80fb-a7a9aea21d8b' class='xr-var-data-in' type='checkbox'><label for='data-113389b1-c6cf-4db2-80fb-a7a9aea21d8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4989710., 4989700., 4989690., ..., 4966320., 4966310., 4966300.],\n",
       "      shape=(2342,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.668e+05 4.668e+05 ... 4.929e+05</div><input id='attrs-3dae5d37-61c6-4690-acdc-c2b04d3c45a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3dae5d37-61c6-4690-acdc-c2b04d3c45a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe3779d7-5b53-4235-b90b-9e441253276b' class='xr-var-data-in' type='checkbox'><label for='data-fe3779d7-5b53-4235-b90b-9e441253276b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([466810., 466820., 466830., ..., 492890., 492900., 492910.],\n",
       "      shape=(2611,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U54</div><div class='xr-var-preview xr-preview'>&#x27;S2B_MSIL2A_20220106T170709_R069...</div><input id='attrs-ebf0e9e5-31a0-4804-af3d-05afe21a4074' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebf0e9e5-31a0-4804-af3d-05afe21a4074' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adcb5d38-bebf-4600-9399-fa5829e964fc' class='xr-var-data-in' type='checkbox'><label for='data-adcb5d38-bebf-4600-9399-fa5829e964fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;S2B_MSIL2A_20220106T170709_R069_T15TVK_20220107T102822&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220109T171659_R112_T15TVK_20220111T005525&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220119T171629_R112_T15TVK_20220120T072816&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20220121T170621_R069_T15TVK_20220122T171559&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20220124T171611_R112_T15TVK_20220125T202151&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20220220T170331_R069_T15TVK_20240515T145229&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20220220T170331_R069_T15TVK_20220226T033126&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220225T170249_R069_T15TVK_20220302T011416&#x27;,\n",
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       "       &#x27;S2B_MSIL2A_20220307T170049_R069_T15TVK_20220308T084221&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220310T171029_R112_T15TVK_20240525T084653&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220310T171029_R112_T15TVK_20220311T175909&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20220312T170111_R069_T15TVK_20240529T174940&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20220312T170111_R069_T15TVK_20220313T053934&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20220315T171051_R112_T15TVK_20240525T020114&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20220315T171051_R112_T15TVK_20220316T073845&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220320T170919_R112_T15TVK_20240528T224627&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220320T170919_R112_T15TVK_20220321T064356&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220327T165849_R069_T15TVK_20240527T123702&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20220327T165849_R069_T15TVK_20220328T061846&#x27;,\n",
       "...\n",
       "       &#x27;S2B_MSIL2A_20221006T171159_R112_T15TVK_20240801T201540&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20221006T171159_R112_T15TVK_20221007T100215&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221008T170211_R069_T15TVK_20240725T044829&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221008T170211_R069_T15TVK_20221009T083514&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221011T171241_R112_T15TVK_20221012T055535&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221018T170321_R069_T15TVK_20240723T183323&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221018T170321_R069_T15TVK_20221019T061245&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221021T171341_R112_T15TVK_20221022T184937&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20221023T170349_R069_T15TVK_20221024T094322&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20221026T171409_R112_T15TVK_20221027T101910&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221028T170421_R069_T15TVK_20221029T063615&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221031T171441_R112_T15TVK_20221101T022128&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221120T171621_R112_T15TVK_20221121T070716&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20221122T170629_R069_T15TVK_20221123T062125&#x27;,\n",
       "       &#x27;S2B_MSIL2A_20221125T171639_R112_T15TVK_20221202T092828&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221130T171701_R112_T15TVK_20221202T194803&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221207T170711_R069_T15TVK_20221208T180027&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221220T171731_R112_T15TVK_20221221T122725&#x27;,\n",
       "       &#x27;S2A_MSIL2A_20221230T171721_R112_T15TVK_20221231T164437&#x27;],\n",
       "      dtype=&#x27;&lt;U54&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>title</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U29</div><div class='xr-var-preview xr-preview'>&#x27;Band 2 - Blue - 10m&#x27; ... &#x27;Scene...</div><input id='attrs-f2842e3a-76f6-483a-83ad-ad6ba4743117' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2842e3a-76f6-483a-83ad-ad6ba4743117' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ccc8dbb-82dd-4d58-bb29-2b189eec7121' class='xr-var-data-in' type='checkbox'><label for='data-1ccc8dbb-82dd-4d58-bb29-2b189eec7121' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Band 2 - Blue - 10m&#x27;, &#x27;Band 3 - Green - 10m&#x27;,\n",
       "       &#x27;Band 4 - Red - 10m&#x27;, &#x27;Band 8 - NIR - 10m&#x27;,\n",
       "       &#x27;Scene classfication map (SCL)&#x27;], dtype=&#x27;&lt;U29&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.0 10.0 10.0 20.0</div><input id='attrs-f20b16f7-7952-4e71-9a14-829b91e6efbc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f20b16f7-7952-4e71-9a14-829b91e6efbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-847d65ed-4558-4fe4-8cb5-3ba29bd1b061' class='xr-var-data-in' type='checkbox'><label for='data-847d65ed-4558-4fe4-8cb5-3ba29bd1b061' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([10., 10., 10., 10., 20.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:bbox</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{399960.0, 509760.0, 5000040.0, ...</div><input id='attrs-224a99f0-7b32-4bc9-b040-65070ee08f10' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-224a99f0-7b32-4bc9-b040-65070ee08f10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e68517bb-244b-47e3-beed-ab749b777d7f' class='xr-var-data-in' type='checkbox'><label for='data-e68517bb-244b-47e3-beed-ab749b777d7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({399960.0, 509760.0, 5000040.0, 4890240.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>common_name</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;blue&#x27; &#x27;green&#x27; &#x27;red&#x27; &#x27;nir&#x27; None</div><input id='attrs-18cf1138-18e2-4a98-99c8-167ceca1a017' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18cf1138-18e2-4a98-99c8-167ceca1a017' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7341d1a-749f-4cab-8fb9-7c9f77a9dac7' class='xr-var-data-in' type='checkbox'><label for='data-e7341d1a-749f-4cab-8fb9-7c9f77a9dac7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;blue&#x27;, &#x27;green&#x27;, &#x27;red&#x27;, &#x27;nir&#x27;, None], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>center_wavelength</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0.49 0.56 0.665 0.842 None</div><input id='attrs-11ed87ac-b75f-414a-8cb4-d41b099cdfb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-11ed87ac-b75f-414a-8cb4-d41b099cdfb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-517c1d74-23ef-413e-8d6d-496c8f3b8132' class='xr-var-data-in' type='checkbox'><label for='data-517c1d74-23ef-413e-8d6d-496c8f3b8132' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.49, 0.56, 0.665, 0.842, None], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>full_width_half_max</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0.098 0.045 0.038 0.145 None</div><input id='attrs-717901cc-fc75-4082-a016-c06562e12799' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-717901cc-fc75-4082-a016-c06562e12799' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2d81d15-b27f-4b08-92d0-1f9f4ede1269' class='xr-var-data-in' type='checkbox'><label for='data-b2d81d15-b27f-4b08-92d0-1f9f4ede1269' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.098, 0.045, 0.038, 0.145, None], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32615</div><input id='attrs-18ab7b3c-6dcc-4bed-b9ff-15b3f851c1a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18ab7b3c-6dcc-4bed-b9ff-15b3f851c1a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34f375e5-83c5-4ddc-8eb4-a9b0b61b1648' class='xr-var-data-in' type='checkbox'><label for='data-34f375e5-83c5-4ddc-8eb4-a9b0b61b1648' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32615)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9857f1c4-af79-4c55-a15b-8b725aff3138' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9857f1c4-af79-4c55-a15b-8b725aff3138' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989710), resolutions_xy=(10, 10))</dd><dt><span>crs :</span></dt><dd>epsg:32615</dd><dt><span>transform :</span></dt><dd>| 10.00, 0.00, 466810.00|\n",
       "| 0.00,-10.00, 4989710.00|\n",
       "| 0.00, 0.00, 1.00|</dd><dt><span>resolution :</span></dt><dd>10</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'stackstac-0428415431f44c8b1dd9346ca21b32ec' (time: 92,\n",
       "                                                                band: 5,\n",
       "                                                                y: 2342, x: 2611)> Size: 11GB\n",
       "dask.array<asarray, shape=(92, 5, 2342, 2611), dtype=float32, chunksize=(92, 1, 1024, 1024), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time                 (time) datetime64[ns] 736B 2022-01-06T17:07:09.02400...\n",
       "  * band                 (band) <U3 60B 'B02' 'B03' 'B04' 'B08' 'SCL'\n",
       "  * y                    (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06\n",
       "  * x                    (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05\n",
       "    id                   (time) <U54 20kB 'S2B_MSIL2A_20220106T170709_R069_T1...\n",
       "    title                (band) <U29 580B 'Band 2 - Blue - 10m' ... 'Scene cl...\n",
       "    gsd                  (band) float64 40B 10.0 10.0 10.0 10.0 20.0\n",
       "    proj:bbox            object 8B {399960.0, 509760.0, 5000040.0, 4890240.0}\n",
       "    common_name          (band) object 40B 'blue' 'green' 'red' 'nir' None\n",
       "    center_wavelength    (band) object 40B 0.49 0.56 0.665 0.842 None\n",
       "    full_width_half_max  (band) object 40B 0.098 0.045 0.038 0.145 None\n",
       "    epsg                 int64 8B 32615\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989...\n",
       "    crs:         epsg:32615\n",
       "    transform:   | 10.00, 0.00, 466810.00|\\n| 0.00,-10.00, 4989710.00|\\n| 0.0...\n",
       "    resolution:  10"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stac = Client.open(CATALOG_URL, modifier=planetary_computer.sign_inplace)\n",
    "\n",
    "# Fetch, clip, resample and persist a stack for each AOI. Each AOI is searched\n",
    "# with its own 4326 geometry but stacked onto its own UTM grid.\n",
    "for a in aois:\n",
    "    items = list(\n",
    "        stac.search(\n",
    "            collections=[\"sentinel-2-l2a\"],\n",
    "            intersects=a[\"geojson\"],\n",
    "            datetime=f\"{DATE_RANGE[0]}/{DATE_RANGE[1]}\",\n",
    "            query={\"eo:cloud_cover\": {\"lt\": MAX_CLOUD_FILTER}},\n",
    "        ).items()\n",
    "    )\n",
    "    if not items:\n",
    "        raise ValueError(f\"No Sentinel-2 scenes for AOI '{a['name']}'.\")\n",
    "\n",
    "    stack = (\n",
    "        stackstac.stack(\n",
    "            items,\n",
    "            assets=S2_ASSETS,\n",
    "            bounds=a[\"bounds\"],\n",
    "            resolution=TARGET_RESOLUTION,\n",
    "            epsg=a[\"epsg\"],\n",
    "            chunksize=(200, 1, 1024, 1024),\n",
    "            fill_value=np.nan,\n",
    "            rescale=False,\n",
    "            properties=[\"datetime\"],\n",
    "            # Nearest neighbour is stackstac's default; we state it explicitly\n",
    "            # because SCL is a 20 m categorical band and interpolating class\n",
    "            # codes on the way to 10 m would invent values that mean nothing.\n",
    "            resampling=rasterio.enums.Resampling.nearest,\n",
    "        )\n",
    "        .astype(\"float32\")\n",
    "        .sortby(\"time\")\n",
    "    )\n",
    "    stack = stack.assign_coords(band=S2_ASSETS[: stack.sizes[\"band\"]])\n",
    "    a[\"stack\"] = stack.persist()\n",
    "    print(f\"{a['name']}: {len(items)} scenes -> stack {a['stack'].shape}\")\n",
    "\n",
    "aois[0][\"stack\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dbcfde72",
   "metadata": {},
   "outputs": [],
   "source": [
    "progress([a[\"stack\"] for a in aois])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c577348e",
   "metadata": {},
   "source": [
    "Persisting the stack up front forces Dask to scatter chunks across every available worker before we start feature engineering. If we wait until the first compute call, the scheduler will place most of the chunks onto a single worker to avoid shuffle overhead, which in turn runs the risk of running out of memory. By persisting the data now, we keep it evenly distributed for the rest of the pipeline."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f4dc869",
   "metadata": {},
   "source": [
    "### 5. Prepare Daily Spectral Composites\n",
    "\n",
    "Satellite imagery is usually captured in the form of tiles, a specific image captured by the satellite corresponding to a certain area, specified in the tile extent. In the previous step, we captured all the tiles that intersect with our AOI for all dates in 2022. However, there might be multiple tiles that intersect with our AOI captured on a specific date. These tiles also occasionally do intersect in area, so before calculating an annual median value for each pixel, we group this data by unique capture dates and use the median value for band-wise reflectance where tiles overlap.\n",
    "\n",
    "Sentinel-2 tiles also include a special band called the Sentinel-2 Scene Classification Layer (SCL), which tags each pixel with a surface or atmospheric class inferred from the Level-2A processing chain. It distinguishes nodata (0), saturated or defective pixels (1), dark areas (2), cloud shadow (3), vegetation (4), bare soils (5), water (6), cloud probabilities from low to high (7–9), thin cirrus (10), and snow or ice (11). Using SCL lets you mask out cloudy or otherwise unreliable observations before aggregating daily composites, so only the clear-sky land pixels (classes 4–6 and 11) contribute to the summaries.\n",
    "\n",
    "In the following steps, we assign a daily date coordinate, split out the Sentinel-2 Scene Classification Layer (`SCL`), and keep only the spectral bands used for features. We then apply the clear-sky mask (classes 3, 4, 5, 6, 11) so cloudy pixels become `NaN`, then group by day mosaic acquisitions on the same day. Run this cell to define the lazy Dask graph for daily composites; no computation occurs yet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d4cc9b3",
   "metadata": {},
   "outputs": [
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       ".xr-group-name,\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;stackstac-0428415431f44c8b1dd9346ca21b32ec&#x27; (date: 63,\n",
       "                                                                band: 4,\n",
       "                                                                y: 2342, x: 2611)&gt; Size: 6GB\n",
       "dask.array&lt;stack, shape=(63, 4, 2342, 2611), dtype=float32, chunksize=(1, 1, 1024, 1024), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * date       (date) datetime64[ns] 504B 2022-01-06 2022-01-09 ... 2022-12-30\n",
       "  * band       (band) &lt;U3 48B &#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27;\n",
       "  * y          (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * x          (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05 4.929e+05\n",
       "    proj:bbox  object 8B {399960.0, 509760.0, 5000040.0, 4890240.0}\n",
       "    epsg       int64 8B 32615\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989...\n",
       "    crs:         epsg:32615\n",
       "    transform:   | 10.00, 0.00, 466810.00|\\n| 0.00,-10.00, 4989710.00|\\n| 0.0...\n",
       "    resolution:  10</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;stackstac-0428415431f44c8b1dd9346ca21b32ec&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 63</li><li><span class='xr-has-index'>band</span>: 4</li><li><span class='xr-has-index'>y</span>: 2342</li><li><span class='xr-has-index'>x</span>: 2611</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5dd54b4d-e7d1-44ff-a3ab-535177b2ca1d' class='xr-array-in' type='checkbox' checked><label for='section-5dd54b4d-e7d1-44ff-a3ab-535177b2ca1d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 1, 1024, 1024), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.74 GiB </td>\n",
       "                        <td> 4.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (63, 4, 2342, 2611) </td>\n",
       "                        <td> (1, 1, 1024, 1024) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2268 chunks in 141 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
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       "       &#x27;2022-03-12T00:00:00.000000000&#x27;, &#x27;2022-03-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-03-20T00:00:00.000000000&#x27;, &#x27;2022-03-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-04-01T00:00:00.000000000&#x27;, &#x27;2022-04-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-04-11T00:00:00.000000000&#x27;, &#x27;2022-04-16T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2022-06-08T00:00:00.000000000&#x27;, &#x27;2022-06-10T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2022-10-08T00:00:00.000000000&#x27;, &#x27;2022-10-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-10-18T00:00:00.000000000&#x27;, &#x27;2022-10-21T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-10-23T00:00:00.000000000&#x27;, &#x27;2022-10-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-10-28T00:00:00.000000000&#x27;, &#x27;2022-10-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-11-20T00:00:00.000000000&#x27;, &#x27;2022-11-22T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-11-25T00:00:00.000000000&#x27;, &#x27;2022-11-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-12-07T00:00:00.000000000&#x27;, &#x27;2022-12-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-12-30T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27;</div><input id='attrs-2d58589c-941a-4388-a201-e236c052ca0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d58589c-941a-4388-a201-e236c052ca0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b11bbb9e-dd5b-424c-a660-3fb85568ff3d' class='xr-var-data-in' type='checkbox'><label for='data-b11bbb9e-dd5b-424c-a660-3fb85568ff3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;B02&#x27;, &#x27;B03&#x27;, &#x27;B04&#x27;, &#x27;B08&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.99e+06 4.99e+06 ... 4.966e+06</div><input id='attrs-ad47b4d6-ecb7-43fe-963e-2d235e645fdb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad47b4d6-ecb7-43fe-963e-2d235e645fdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c740e44d-d527-43df-ba6d-bd82206b9a6d' class='xr-var-data-in' type='checkbox'><label for='data-c740e44d-d527-43df-ba6d-bd82206b9a6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4989710., 4989700., 4989690., ..., 4966320., 4966310., 4966300.],\n",
       "      shape=(2342,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.668e+05 4.668e+05 ... 4.929e+05</div><input id='attrs-6a5473f5-c321-4dc8-8ec3-82ceaa730ccf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a5473f5-c321-4dc8-8ec3-82ceaa730ccf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c25229a-2010-47f9-b729-0252f693aca0' class='xr-var-data-in' type='checkbox'><label for='data-5c25229a-2010-47f9-b729-0252f693aca0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([466810., 466820., 466830., ..., 492890., 492900., 492910.],\n",
       "      shape=(2611,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:bbox</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{399960.0, 509760.0, 5000040.0, ...</div><input id='attrs-9175959b-946e-4320-b188-8d7b8444aef5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9175959b-946e-4320-b188-8d7b8444aef5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31ba18c9-e2d2-4c43-9c07-2fe6cc106cec' class='xr-var-data-in' type='checkbox'><label for='data-31ba18c9-e2d2-4c43-9c07-2fe6cc106cec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({399960.0, 509760.0, 5000040.0, 4890240.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32615</div><input id='attrs-7b66698f-6285-4f80-8443-96866f527a50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b66698f-6285-4f80-8443-96866f527a50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3127e36c-1cb1-40b8-9985-440d04f8d2a6' class='xr-var-data-in' type='checkbox'><label for='data-3127e36c-1cb1-40b8-9985-440d04f8d2a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32615)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53a08441-4751-4108-8f89-5f05a72cd459' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53a08441-4751-4108-8f89-5f05a72cd459' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989710), resolutions_xy=(10, 10))</dd><dt><span>crs :</span></dt><dd>epsg:32615</dd><dt><span>transform :</span></dt><dd>| 10.00, 0.00, 466810.00|\n",
       "| 0.00,-10.00, 4989710.00|\n",
       "| 0.00, 0.00, 1.00|</dd><dt><span>resolution :</span></dt><dd>10</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.DataArray 'stackstac-0428415431f44c8b1dd9346ca21b32ec' (date: 63,\n",
       "                                                                band: 4,\n",
       "                                                                y: 2342, x: 2611)> Size: 6GB\n",
       "dask.array<stack, shape=(63, 4, 2342, 2611), dtype=float32, chunksize=(1, 1, 1024, 1024), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * date       (date) datetime64[ns] 504B 2022-01-06 2022-01-09 ... 2022-12-30\n",
       "  * band       (band) <U3 48B 'B02' 'B03' 'B04' 'B08'\n",
       "  * y          (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * x          (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05 4.929e+05\n",
       "    proj:bbox  object 8B {399960.0, 509760.0, 5000040.0, 4890240.0}\n",
       "    epsg       int64 8B 32615\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989...\n",
       "    crs:         epsg:32615\n",
       "    transform:   | 10.00, 0.00, 466810.00|\\n| 0.00,-10.00, 4989710.00|\\n| 0.0...\n",
       "    resolution:  10"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Daily clear-sky composite per AOI.\n",
    "# Keep only clear-sky land pixels: SCL 4 (vegetation), 5 (bare soil),\n",
    "# 6 (water) and 11 (snow/ice). Cloud shadow (3) is deliberately excluded -\n",
    "# shadowed pixels are radiometrically unreliable and drag the annual median\n",
    "# of built-up areas toward the spectral signature of water.\n",
    "for a in aois:\n",
    "    stack = a[\"stack\"]\n",
    "    dates = stack[\"time\"].dt.floor(\"D\").values\n",
    "    stack = stack.assign_coords(date=(\"time\", dates))\n",
    "\n",
    "    scl = stack.sel(band=\"SCL\")\n",
    "    spectral = stack.drop_sel(band=\"SCL\")\n",
    "\n",
    "    clear = scl.isin([4, 5, 6, 11])\n",
    "    spectral = spectral.where(clear, np.nan)\n",
    "\n",
    "    a[\"daily\"] = spectral.groupby(\"date\").median(dim=\"time\", skipna=True)\n",
    "\n",
    "aois[0][\"daily\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7f1ccf0",
   "metadata": {},
   "source": [
    "### 6. Rechunk Daily Composites for Throughput\n",
    "\n",
    "Adjust the chunk structure before any heavy computation runs. This cell puts the entire date axis into a single chunk, limits each task to two bands, and uses 1,024×1,024 pixels in the spatial dimension so Dask can stream work evenly across its workers without each chunk being too small. Collapsing the date axis means the annual median in the next step is a reduction within each chunk rather than one Dask has to combine across chunk boundaries. Run it once to update the delayed graph. No data is computed yet, but downstream feature calculations will inherit this layout."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c5d469de",
   "metadata": {},
   "outputs": [
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       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name,\n",
       ".xr-group-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-group-name::before {\n",
       "  content: \"📁\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-name,\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;stackstac-0428415431f44c8b1dd9346ca21b32ec&#x27; (date: 63,\n",
       "                                                                band: 4,\n",
       "                                                                y: 2342, x: 2611)&gt; Size: 6GB\n",
       "dask.array&lt;rechunk-merge, shape=(63, 4, 2342, 2611), dtype=float32, chunksize=(63, 2, 1024, 1024), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * date       (date) datetime64[ns] 504B 2022-01-06 2022-01-09 ... 2022-12-30\n",
       "  * band       (band) &lt;U3 48B &#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27;\n",
       "  * y          (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * x          (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05 4.929e+05\n",
       "    proj:bbox  object 8B {399960.0, 509760.0, 5000040.0, 4890240.0}\n",
       "    epsg       int64 8B 32615\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989...\n",
       "    crs:         epsg:32615\n",
       "    transform:   | 10.00, 0.00, 466810.00|\\n| 0.00,-10.00, 4989710.00|\\n| 0.0...\n",
       "    resolution:  10</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;stackstac-0428415431f44c8b1dd9346ca21b32ec&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 63</li><li><span class='xr-has-index'>band</span>: 4</li><li><span class='xr-has-index'>y</span>: 2342</li><li><span class='xr-has-index'>x</span>: 2611</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-62d75d63-49f5-420e-9172-c7896cd01048' class='xr-array-in' type='checkbox' checked><label for='section-62d75d63-49f5-420e-9172-c7896cd01048' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(63, 2, 1024, 1024), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.74 GiB </td>\n",
       "                        <td> 504.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (63, 4, 2342, 2611) </td>\n",
       "                        <td> (63, 2, 1024, 1024) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 18 chunks in 142 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "       &#x27;2022-12-07T00:00:00.000000000&#x27;, &#x27;2022-12-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-12-30T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27;</div><input id='attrs-518da363-ed81-436b-87ce-0106bfa757f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-518da363-ed81-436b-87ce-0106bfa757f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a38c94cb-b824-4469-8691-659c098ab814' class='xr-var-data-in' type='checkbox'><label for='data-a38c94cb-b824-4469-8691-659c098ab814' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;B02&#x27;, &#x27;B03&#x27;, &#x27;B04&#x27;, &#x27;B08&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.99e+06 4.99e+06 ... 4.966e+06</div><input id='attrs-fd673f47-d4a6-4d3b-926d-ac2e66bf5bb3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd673f47-d4a6-4d3b-926d-ac2e66bf5bb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17aeb877-5377-4942-aef9-f3ac39d24a88' class='xr-var-data-in' type='checkbox'><label for='data-17aeb877-5377-4942-aef9-f3ac39d24a88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4989710., 4989700., 4989690., ..., 4966320., 4966310., 4966300.],\n",
       "      shape=(2342,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.668e+05 4.668e+05 ... 4.929e+05</div><input id='attrs-4894e303-9ae1-44dd-8b8f-33552da6f29c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4894e303-9ae1-44dd-8b8f-33552da6f29c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a944f56f-3d37-4f8f-8c68-ea269372b261' class='xr-var-data-in' type='checkbox'><label for='data-a944f56f-3d37-4f8f-8c68-ea269372b261' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([466810., 466820., 466830., ..., 492890., 492900., 492910.],\n",
       "      shape=(2611,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:bbox</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{399960.0, 509760.0, 5000040.0, ...</div><input id='attrs-c5663470-ca48-4134-b9cd-b2228207318f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5663470-ca48-4134-b9cd-b2228207318f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f71c4810-c097-449b-b531-c9a239b7e97b' class='xr-var-data-in' type='checkbox'><label for='data-f71c4810-c097-449b-b531-c9a239b7e97b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({399960.0, 509760.0, 5000040.0, 4890240.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32615</div><input id='attrs-9febdcac-818c-46ab-bc08-c1c4e316e047' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9febdcac-818c-46ab-bc08-c1c4e316e047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-252f79d0-2b6c-4be7-bced-ee66ae85dd53' class='xr-var-data-in' type='checkbox'><label for='data-252f79d0-2b6c-4be7-bced-ee66ae85dd53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32615)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c1afb36-ca74-405f-8a7f-833c5298a2a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6c1afb36-ca74-405f-8a7f-833c5298a2a7' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989710), resolutions_xy=(10, 10))</dd><dt><span>crs :</span></dt><dd>epsg:32615</dd><dt><span>transform :</span></dt><dd>| 10.00, 0.00, 466810.00|\n",
       "| 0.00,-10.00, 4989710.00|\n",
       "| 0.00, 0.00, 1.00|</dd><dt><span>resolution :</span></dt><dd>10</dd></dl></div></li></ul></div></div>"
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   ],
   "source": [
    "for a in aois:\n",
    "    # The whole date axis in one chunk makes the annual median below a\n",
    "    # within-chunk reduction instead of a cross-chunk combine.\n",
    "    a[\"daily\"] = a[\"daily\"].chunk({\"date\": -1, \"band\": 2, \"y\": 1024, \"x\": 1024})\n",
    "\n",
    "aois[0][\"daily\"]"
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   "id": "dee95c3d",
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   "source": [
    "### 7. Aggregate by Year and Engineer Spectral Indices\n",
    "\n",
    "With daily composites defined, run this cell to collapse each pixel into an annual median and derive GPU-friendly features. The next cell stamps a `year` coordinate, groups by year to reduce seasonal noise, and then computes `NDVI` and `NDWI` alongside the raw bands. The dataset is rechunked so each task covers one year, two bands, and 1,024×1,024 tiles, matching the earlier layout and keeping downstream sampling efficient. Execution remains lazy here; you will trigger compute later when you materialize training data.\n",
    "\n",
    "**Notes on the spectral indices**\n",
    "\n",
    "- `NDVI = (NIR − Red) / (NIR + Red)` gauges vegetation vigor. High values indicate dense photosynthetically active biomass, while bare ground or urban areas trend toward zero or negative.\n",
    "- `NDWI = (Green − NIR) / (Green + NIR)` emphasizes surface water and moist vegetation. Positive values mark water bodies or saturated soils, whereas dry ground returns negatives."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac734995",
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       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name,\n",
       ".xr-group-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-group-name::before {\n",
       "  content: \"📁\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-name,\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 147MB\n",
       "Dimensions:    (year: 1, x: 2611, y: 2342, band: 4)\n",
       "Coordinates:\n",
       "  * year       (year) int64 8B 2022\n",
       "  * x          (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05 4.929e+05\n",
       "  * y          (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * band       (band) &lt;U3 48B &#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27;\n",
       "    proj:bbox  object 8B {399960.0, 509760.0, 5000040.0, 4890240.0}\n",
       "    epsg       int64 8B 32615\n",
       "Data variables:\n",
       "    bands      (year, band, y, x) float32 98MB dask.array&lt;chunksize=(1, 2, 1024, 1024), meta=np.ndarray&gt;\n",
       "    NDVI       (year, y, x) float32 24MB dask.array&lt;chunksize=(1, 1024, 1024), meta=np.ndarray&gt;\n",
       "    NDWI       (year, y, x) float32 24MB dask.array&lt;chunksize=(1, 1024, 1024), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ec3dc9aa-3d72-412c-bcd8-0a87badca53f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec3dc9aa-3d72-412c-bcd8-0a87badca53f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 1</li><li><span class='xr-has-index'>x</span>: 2611</li><li><span class='xr-has-index'>y</span>: 2342</li><li><span class='xr-has-index'>band</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8c031c57-6d52-4a7f-9c2c-819daa38ae30' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8c031c57-6d52-4a7f-9c2c-819daa38ae30' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2022</div><input id='attrs-e04896f5-0c92-444c-a2b9-dc0692dde92d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e04896f5-0c92-444c-a2b9-dc0692dde92d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e488fc20-03a2-4191-99a0-57a516192b50' class='xr-var-data-in' type='checkbox'><label for='data-e488fc20-03a2-4191-99a0-57a516192b50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2022])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.668e+05 4.668e+05 ... 4.929e+05</div><input id='attrs-a001863f-a89f-4e4b-b036-06c0e14718c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a001863f-a89f-4e4b-b036-06c0e14718c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3be0ff65-52ba-41ca-af6b-d6bbff186029' class='xr-var-data-in' type='checkbox'><label for='data-3be0ff65-52ba-41ca-af6b-d6bbff186029' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([466810., 466820., 466830., ..., 492890., 492900., 492910.],\n",
       "      shape=(2611,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.99e+06 4.99e+06 ... 4.966e+06</div><input id='attrs-ae27f0e6-4883-4893-9092-33aaa3939f16' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae27f0e6-4883-4893-9092-33aaa3939f16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af248e02-6324-4482-b5f9-f8604759d295' class='xr-var-data-in' type='checkbox'><label for='data-af248e02-6324-4482-b5f9-f8604759d295' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4989710., 4989700., 4989690., ..., 4966320., 4966310., 4966300.],\n",
       "      shape=(2342,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27;</div><input id='attrs-0d271925-ec2b-41f3-9bc8-8f3f7dbd469f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d271925-ec2b-41f3-9bc8-8f3f7dbd469f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5c3abaf-ccbb-4db8-865e-d04b00b5d52b' class='xr-var-data-in' type='checkbox'><label for='data-b5c3abaf-ccbb-4db8-865e-d04b00b5d52b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;B02&#x27;, &#x27;B03&#x27;, &#x27;B04&#x27;, &#x27;B08&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:bbox</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{399960.0, 509760.0, 5000040.0, ...</div><input id='attrs-471ce3f9-0abd-4511-a6ca-f1cd9333a592' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-471ce3f9-0abd-4511-a6ca-f1cd9333a592' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4777dfb6-9a99-43c0-bbc8-80e8baf3f411' class='xr-var-data-in' type='checkbox'><label for='data-4777dfb6-9a99-43c0-bbc8-80e8baf3f411' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({399960.0, 509760.0, 5000040.0, 4890240.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32615</div><input id='attrs-e216062e-fb08-40d0-9baf-1cd802b18be3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e216062e-fb08-40d0-9baf-1cd802b18be3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2d5cec0-0e7d-4b0e-a7bf-40931ff6a911' class='xr-var-data-in' type='checkbox'><label for='data-d2d5cec0-0e7d-4b0e-a7bf-40931ff6a911' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32615)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b6819e1-78b0-435f-a723-b581afe30fa5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b6819e1-78b0-435f-a723-b581afe30fa5' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>bands</span></div><div class='xr-var-dims'>(year, band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2, 1024, 1024), meta=np.ndarray&gt;</div><input id='attrs-8ac06070-80cb-406b-bb07-9eb68aca49f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ac06070-80cb-406b-bb07-9eb68aca49f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2293ae7-fa62-4fb4-95a8-c5572782e715' class='xr-var-data-in' type='checkbox'><label for='data-d2293ae7-fa62-4fb4-95a8-c5572782e715' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989710), resolutions_xy=(10, 10))</dd><dt><span>crs :</span></dt><dd>epsg:32615</dd><dt><span>transform :</span></dt><dd>| 10.00, 0.00, 466810.00|\n",
       "| 0.00,-10.00, 4989710.00|\n",
       "| 0.00, 0.00, 1.00|</dd><dt><span>resolution :</span></dt><dd>10</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.31 MiB </td>\n",
       "                        <td> 8.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1, 4, 2342, 2611) </td>\n",
       "                        <td> (1, 2, 1024, 1024) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 18 chunks in 144 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                        <td> 4.00 MiB </td>\n",
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       "<xarray.Dataset> Size: 147MB\n",
       "Dimensions:    (year: 1, x: 2611, y: 2342, band: 4)\n",
       "Coordinates:\n",
       "  * year       (year) int64 8B 2022\n",
       "  * x          (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05 4.929e+05\n",
       "  * y          (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * band       (band) <U3 48B 'B02' 'B03' 'B04' 'B08'\n",
       "    proj:bbox  object 8B {399960.0, 509760.0, 5000040.0, 4890240.0}\n",
       "    epsg       int64 8B 32615\n",
       "Data variables:\n",
       "    bands      (year, band, y, x) float32 98MB dask.array<chunksize=(1, 2, 1024, 1024), meta=np.ndarray>\n",
       "    NDVI       (year, y, x) float32 24MB dask.array<chunksize=(1, 1024, 1024), meta=np.ndarray>\n",
       "    NDWI       (year, y, x) float32 24MB dask.array<chunksize=(1, 1024, 1024), meta=np.ndarray>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Annual median composite plus the spectral indices derived from it.\n",
    "for a in aois:\n",
    "    daily = a[\"daily\"].assign_coords(\n",
    "        year=(\"date\", pd.DatetimeIndex(a[\"daily\"][\"date\"].values).year)\n",
    "    )\n",
    "    yearly = daily.groupby(\"year\").median(dim=\"date\", skipna=True)\n",
    "\n",
    "    red = yearly.sel(band=\"B04\")\n",
    "    nir = yearly.sel(band=\"B08\")\n",
    "    green = yearly.sel(band=\"B03\")\n",
    "\n",
    "    a[\"feature_ds\"] = xr.Dataset(\n",
    "        {\n",
    "            \"bands\": yearly,\n",
    "            \"NDVI\": (nir - red) / (nir + red),\n",
    "            \"NDWI\": (green - nir) / (green + nir),\n",
    "        }\n",
    "    ).chunk({\"year\": 1, \"band\": 2, \"y\": 1024, \"x\": 1024})\n",
    "\n",
    "aois[0][\"feature_ds\"]"
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  {
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   "id": "26dc272c",
   "metadata": {},
   "source": [
    "### 8. Retrieve and Distribute WorldCover Labels\n",
    "\n",
    "Search the Planetary Computer catalogue for ESA WorldCover tiles that intersect each AOI and cover the year 2023. ESA publishes each annual WorldCover release on January 1 to describe the land cover of the preceding year, so the 2023 layer is the right match for the 2022 imagery we processed above. Run this cell to download the overlapping items, guard against empty results, and build a raster stack that matches each AOI's bounds, resolution, and projection. As with the imagery, `persist()` spreads the label blocks across the workers right away so later sampling and joins avoid a single-worker bottleneck.\n",
    "\n",
    "Note the resampling choice again here. WorldCover codes are categorical - 1 means water and 2 means trees, but 1.5 means nothing at all - so the reprojection onto our feature grid must use nearest neighbour."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4fc7f1ac",
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       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;stackstac-097a54c15f27bed53ea95ebb455f6dd5&#x27; (time: 2,\n",
       "                                                                band: 1,\n",
       "                                                                y: 2342, x: 2611)&gt; Size: 49MB\n",
       "dask.array&lt;astype, shape=(2, 1, 2342, 2611), dtype=float32, chunksize=(1, 1, 1024, 1024), chunktype=numpy.ndarray&gt;\n",
       "Coordinates: (12/16)\n",
       "  * time             (time) datetime64[ns] 16B NaT NaT\n",
       "  * band             (band) &lt;U3 12B &#x27;map&#x27;\n",
       "  * y                (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * x                (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05\n",
       "    id               (time) &lt;U8 64B &#x27;15T-2023&#x27; &#x27;15T-2022&#x27;\n",
       "    end_datetime     (time) &lt;U20 160B &#x27;2024-01-01T00:00:00Z&#x27; &#x27;2023-01-01T00:0...\n",
       "    ...               ...\n",
       "    proj:bbox        object 8B {4427760.0, 5320650.0, 243910.0, 756090.0}\n",
       "    io:tile_id       &lt;U3 12B &#x27;15T&#x27;\n",
       "    proj:code        &lt;U10 40B &#x27;EPSG:32615&#x27;\n",
       "    io:supercell_id  (time) object 16B None &#x27;15T&#x27;\n",
       "    raster:bands     object 8B {&#x27;nodata&#x27;: 0, &#x27;spatial_resolution&#x27;: 10}\n",
       "    epsg             int64 8B 32615\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989...\n",
       "    crs:         epsg:32615\n",
       "    transform:   | 10.00, 0.00, 466810.00|\\n| 0.00,-10.00, 4989710.00|\\n| 0.0...\n",
       "    resolution:  10</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;stackstac-097a54c15f27bed53ea95ebb455f6dd5&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span class='xr-has-index'>band</span>: 1</li><li><span class='xr-has-index'>y</span>: 2342</li><li><span class='xr-has-index'>x</span>: 2611</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b9bc8fd6-bcc9-4908-9a1f-c3ba5464ccdb' class='xr-array-in' type='checkbox' checked><label for='section-b9bc8fd6-bcc9-4908-9a1f-c3ba5464ccdb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 1, 1024, 1024), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 46.65 MiB </td>\n",
       "                        <td> 4.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 1, 2342, 2611) </td>\n",
       "                        <td> (1, 1, 1024, 1024) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 18 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-85325993-eb7c-4229-8a2c-837836c74f0a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-85325993-eb7c-4229-8a2c-837836c74f0a' class='xr-section-summary' >Coordinates: <span>(16)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>NaT NaT</div><input id='attrs-99254b42-9324-45e6-b7d7-e62dc57e8e84' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99254b42-9324-45e6-b7d7-e62dc57e8e84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e9d4142-004f-4cc3-af72-d8475b533115' class='xr-var-data-in' type='checkbox'><label for='data-3e9d4142-004f-4cc3-af72-d8475b533115' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;NaT&#x27;, &#x27;NaT&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;map&#x27;</div><input id='attrs-4ae4eaf4-60c9-4b64-bad4-fe1ecd79c476' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ae4eaf4-60c9-4b64-bad4-fe1ecd79c476' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-876e3442-b9c7-4e0b-9502-bd512c11a440' class='xr-var-data-in' type='checkbox'><label for='data-876e3442-b9c7-4e0b-9502-bd512c11a440' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;map&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.99e+06 4.99e+06 ... 4.966e+06</div><input id='attrs-409492f8-1130-444c-bdff-f4edf5b41cbf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-409492f8-1130-444c-bdff-f4edf5b41cbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fea755ba-fe47-4793-8f64-2ebec61875f7' class='xr-var-data-in' type='checkbox'><label for='data-fea755ba-fe47-4793-8f64-2ebec61875f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4989710., 4989700., 4989690., ..., 4966320., 4966310., 4966300.],\n",
       "      shape=(2342,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.668e+05 4.668e+05 ... 4.929e+05</div><input id='attrs-90193a82-5ce4-4598-87e8-ce999a079a3c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90193a82-5ce4-4598-87e8-ce999a079a3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72165d1e-47b2-4728-8d33-3d4e8292afeb' class='xr-var-data-in' type='checkbox'><label for='data-72165d1e-47b2-4728-8d33-3d4e8292afeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([466810., 466820., 466830., ..., 492890., 492900., 492910.],\n",
       "      shape=(2611,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;15T-2023&#x27; &#x27;15T-2022&#x27;</div><input id='attrs-2e5e978a-e271-4cf8-9c4b-2e85809945fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e5e978a-e271-4cf8-9c4b-2e85809945fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0467c9e-f502-4823-9faa-38aa6c0b8e59' class='xr-var-data-in' type='checkbox'><label for='data-c0467c9e-f502-4823-9faa-38aa6c0b8e59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;15T-2023&#x27;, &#x27;15T-2022&#x27;], dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>end_datetime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;2024-01-01T00:00:00Z&#x27; &#x27;2023-01-...</div><input id='attrs-6989cbe9-c4fa-4242-954a-9a9d2b25a5d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6989cbe9-c4fa-4242-954a-9a9d2b25a5d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10c49980-a117-4b5d-9044-e098c3e3e1a9' class='xr-var-data-in' type='checkbox'><label for='data-10c49980-a117-4b5d-9044-e098c3e3e1a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-01-01T00:00:00Z&#x27;, &#x27;2023-01-01T00:00:00Z&#x27;], dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>supercell</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;15T&#x27; None</div><input id='attrs-f975fee5-4678-48b9-8574-d896c1fa39a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f975fee5-4678-48b9-8574-d896c1fa39a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5730ea8-44b4-43f8-80ba-6fed758835c1' class='xr-var-data-in' type='checkbox'><label for='data-e5730ea8-44b4-43f8-80ba-6fed758835c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;15T&#x27;, None], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>start_datetime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;2023-01-01T00:00:00Z&#x27; &#x27;2022-01-...</div><input id='attrs-37eab65f-82b0-4376-add7-b4af23cfd217' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37eab65f-82b0-4376-add7-b4af23cfd217' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0917cac6-522f-4a2d-a9fb-aab9d142d781' class='xr-var-data-in' type='checkbox'><label for='data-0917cac6-522f-4a2d-a9fb-aab9d142d781' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-01-01T00:00:00Z&#x27;, &#x27;2022-01-01T00:00:00Z&#x27;], dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:transform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{0.0, 243910.0, 5320650.0, 10.0,...</div><input id='attrs-bf037c3d-cbf8-43ca-be1a-ae6c0ad0f2b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf037c3d-cbf8-43ca-be1a-ae6c0ad0f2b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-326dadb0-4110-4283-af7a-b1d7c81babe1' class='xr-var-data-in' type='checkbox'><label for='data-326dadb0-4110-4283-af7a-b1d7c81babe1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({0.0, 243910.0, 5320650.0, 10.0, -10.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{89289, 51218}</div><input id='attrs-760e80b4-b3fb-43a3-a4d3-9483a5bfa0f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-760e80b4-b3fb-43a3-a4d3-9483a5bfa0f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d33d631-cb91-4482-91bd-cbe756109369' class='xr-var-data-in' type='checkbox'><label for='data-8d33d631-cb91-4482-91bd-cbe756109369' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({89289, 51218}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:bbox</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{4427760.0, 5320650.0, 243910.0,...</div><input id='attrs-73541dad-c490-447b-900c-d31465dd18da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73541dad-c490-447b-900c-d31465dd18da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfbcf643-a9c7-4e85-ae98-337c7ed50280' class='xr-var-data-in' type='checkbox'><label for='data-bfbcf643-a9c7-4e85-ae98-337c7ed50280' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({4427760.0, 5320650.0, 243910.0, 756090.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>io:tile_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;15T&#x27;</div><input id='attrs-4f083d6f-bc61-473e-80c1-46b916385461' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f083d6f-bc61-473e-80c1-46b916385461' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36323448-3890-4ad2-8598-b4b7ff1542db' class='xr-var-data-in' type='checkbox'><label for='data-36323448-3890-4ad2-8598-b4b7ff1542db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;15T&#x27;, dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:code</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;EPSG:32615&#x27;</div><input id='attrs-ebc6d8ac-a099-4bac-9973-8caea8dab212' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebc6d8ac-a099-4bac-9973-8caea8dab212' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad10a583-21cd-46b8-8016-2fd4f6f78687' class='xr-var-data-in' type='checkbox'><label for='data-ad10a583-21cd-46b8-8016-2fd4f6f78687' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;EPSG:32615&#x27;, dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>io:supercell_id</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None &#x27;15T&#x27;</div><input id='attrs-54222018-39ee-4a57-9d9e-dc7254e183b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54222018-39ee-4a57-9d9e-dc7254e183b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02bdeb3b-7350-45fb-bc7c-b8e68d4b28c5' class='xr-var-data-in' type='checkbox'><label for='data-02bdeb3b-7350-45fb-bc7c-b8e68d4b28c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([None, &#x27;15T&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>raster:bands</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{&#x27;nodata&#x27;: 0, &#x27;spatial_resolutio...</div><input id='attrs-80df63b9-531c-4324-a303-726ffdeb0533' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80df63b9-531c-4324-a303-726ffdeb0533' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21fe6d58-6e1c-43e9-9aa3-a06766eb28ab' class='xr-var-data-in' type='checkbox'><label for='data-21fe6d58-6e1c-43e9-9aa3-a06766eb28ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({&#x27;nodata&#x27;: 0, &#x27;spatial_resolution&#x27;: 10}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32615</div><input id='attrs-886aedb9-8b79-415a-a31a-1bd89ac55fd6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-886aedb9-8b79-415a-a31a-1bd89ac55fd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d3ba431-e440-46a6-a778-cc38df48102f' class='xr-var-data-in' type='checkbox'><label for='data-7d3ba431-e440-46a6-a778-cc38df48102f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32615)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe3d968c-ebe9-4f62-800c-7e4fb1402e57' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fe3d968c-ebe9-4f62-800c-7e4fb1402e57' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989710), resolutions_xy=(10, 10))</dd><dt><span>crs :</span></dt><dd>epsg:32615</dd><dt><span>transform :</span></dt><dd>| 10.00, 0.00, 466810.00|\n",
       "| 0.00,-10.00, 4989710.00|\n",
       "| 0.00, 0.00, 1.00|</dd><dt><span>resolution :</span></dt><dd>10</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'stackstac-097a54c15f27bed53ea95ebb455f6dd5' (time: 2,\n",
       "                                                                band: 1,\n",
       "                                                                y: 2342, x: 2611)> Size: 49MB\n",
       "dask.array<astype, shape=(2, 1, 2342, 2611), dtype=float32, chunksize=(1, 1, 1024, 1024), chunktype=numpy.ndarray>\n",
       "Coordinates: (12/16)\n",
       "  * time             (time) datetime64[ns] 16B NaT NaT\n",
       "  * band             (band) <U3 12B 'map'\n",
       "  * y                (y) float64 19kB 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * x                (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05\n",
       "    id               (time) <U8 64B '15T-2023' '15T-2022'\n",
       "    end_datetime     (time) <U20 160B '2024-01-01T00:00:00Z' '2023-01-01T00:0...\n",
       "    ...               ...\n",
       "    proj:bbox        object 8B {4427760.0, 5320650.0, 243910.0, 756090.0}\n",
       "    io:tile_id       <U3 12B '15T'\n",
       "    proj:code        <U10 40B 'EPSG:32615'\n",
       "    io:supercell_id  (time) object 16B None '15T'\n",
       "    raster:bands     object 8B {'nodata': 0, 'spatial_resolution': 10}\n",
       "    epsg             int64 8B 32615\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32615, bounds=(466810, 4966290, 492920, 4989...\n",
       "    crs:         epsg:32615\n",
       "    transform:   | 10.00, 0.00, 466810.00|\\n| 0.00,-10.00, 4989710.00|\\n| 0.0...\n",
       "    resolution:  10"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for a in aois:\n",
    "    label_items = list(\n",
    "        stac.search(\n",
    "            collections=[WORLDCOVER_COLLECTION],\n",
    "            intersects=a[\"geojson\"],\n",
    "            datetime=\"2023-01-01/2023-12-31\",\n",
    "        ).items()\n",
    "    )\n",
    "    if not label_items:\n",
    "        raise ValueError(f\"No WorldCover tiles for AOI '{a['name']}'.\")\n",
    "\n",
    "    label_stack = (\n",
    "        stackstac.stack(\n",
    "            label_items,\n",
    "            assets=[WORLDCOVER_ASSET],\n",
    "            bounds=a[\"bounds\"],\n",
    "            resolution=TARGET_RESOLUTION,\n",
    "            epsg=a[\"epsg\"],\n",
    "            chunksize=(1, 1, 1024, 1024),\n",
    "            rescale=False,\n",
    "            fill_value=np.nan,\n",
    "            resampling=rasterio.enums.Resampling.nearest,  # categorical labels: nearest only\n",
    "        )\n",
    "        .astype(\"float32\")\n",
    "        .persist()\n",
    "    )\n",
    "    a[\"label_stack\"] = label_stack.assign_coords(band=[\"map\"])\n",
    "\n",
    "aois[0][\"label_stack\"]"
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    "### 9. Align the Label Mosaic with Feature Grids\n",
    "\n",
    "Collapse the WorldCover stack into a single mosaic, reproject it to the same grid as the feature rasters, and expand it into a year-aligned cube. Run this cell after the data is persisted in the previous cell so the label mosaic matches the band layout and spatial axes of your feature dataset. The result is a `labels_cube` with one layer per feature year, ready to be matched to the Sentinel-2 data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c923ce67",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;worldcover&#x27; (year: 1, y: 2342, x: 2611)&gt; Size: 24MB\n",
       "dask.array&lt;xarray-&lt;this-array&gt;, shape=(1, 2342, 2611), dtype=float32, chunksize=(1, 1024, 1024), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * year     (year) int64 8B 2022\n",
       "  * y        (y) float64 19kB 4.99e+06 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * x        (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05 4.929e+05</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;worldcover&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 1</li><li><span class='xr-has-index'>y</span>: 2342</li><li><span class='xr-has-index'>x</span>: 2611</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7204977e-547f-494b-9d90-b193ea562601' class='xr-array-in' type='checkbox' checked><label for='section-7204977e-547f-494b-9d90-b193ea562601' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 1024, 1024), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 23.33 MiB </td>\n",
       "                        <td> 4.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1, 2342, 2611) </td>\n",
       "                        <td> (1, 1024, 1024) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 9 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-9ff9321b-0413-478b-b299-228924d7e6d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ff9321b-0413-478b-b299-228924d7e6d5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2022</div><input id='attrs-fd3e6526-a3f0-4586-ac03-ac97663264fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd3e6526-a3f0-4586-ac03-ac97663264fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-835752bb-9c08-4534-a0ef-4a712601a90f' class='xr-var-data-in' type='checkbox'><label for='data-835752bb-9c08-4534-a0ef-4a712601a90f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2022])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.99e+06 4.99e+06 ... 4.966e+06</div><input id='attrs-d558f4d8-9626-40dc-a737-17f5fa38bda1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d558f4d8-9626-40dc-a737-17f5fa38bda1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c881dd01-0453-4827-ae14-447d864b4601' class='xr-var-data-in' type='checkbox'><label for='data-c881dd01-0453-4827-ae14-447d864b4601' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([4989710., 4989700., 4989690., ..., 4966320., 4966310., 4966300.],\n",
       "      shape=(2342,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.668e+05 4.668e+05 ... 4.929e+05</div><input id='attrs-80a6b38f-f6d5-480c-af03-ffabdc19a71d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80a6b38f-f6d5-480c-af03-ffabdc19a71d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28cadb51-efe4-45d5-bb1e-b6ce9d4ea238' class='xr-var-data-in' type='checkbox'><label for='data-28cadb51-efe4-45d5-bb1e-b6ce9d4ea238' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([466810., 466820., 466830., ..., 492890., 492900., 492910.],\n",
       "      shape=(2611,))</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'worldcover' (year: 1, y: 2342, x: 2611)> Size: 24MB\n",
       "dask.array<xarray-<this-array>, shape=(1, 2342, 2611), dtype=float32, chunksize=(1, 1024, 1024), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * year     (year) int64 8B 2022\n",
       "  * y        (y) float64 19kB 4.99e+06 4.99e+06 4.99e+06 ... 4.966e+06 4.966e+06\n",
       "  * x        (x) float64 21kB 4.668e+05 4.668e+05 ... 4.929e+05 4.929e+05"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for a in aois:\n",
    "    label_mosaic = stackstac.mosaic(a[\"label_stack\"], dim=\"time\").squeeze(\n",
    "        \"band\", drop=True\n",
    "    )\n",
    "\n",
    "    template = a[\"feature_ds\"][\"bands\"].isel(year=0).sel(band=\"B02\")\n",
    "    label_mosaic = label_mosaic.rio.reproject_match(\n",
    "        template, resampling=rasterio.enums.Resampling.nearest\n",
    "    )\n",
    "\n",
    "    a[\"labels_cube\"] = xr.DataArray(\n",
    "        label_mosaic.values[None, :, :],\n",
    "        dims=(\"year\", \"y\", \"x\"),\n",
    "        coords={\"year\": a[\"feature_ds\"].year, \"y\": label_mosaic.y, \"x\": label_mosaic.x},\n",
    "        name=\"worldcover\",\n",
    "    ).chunk({\"year\": 1, \"y\": 1024, \"x\": 1024})\n",
    "\n",
    "aois[0][\"labels_cube\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70e2ad11",
   "metadata": {},
   "source": [
    "### 10. Strip Unserializable Metadata Before Writing to Zarr\n",
    "\n",
    "Before you write features and labels to Zarr, sanitize the metadata that `stackstac` attaches so it contains only plain Python types. Two things need cleaning. The `RasterSpec` objects in the variable attributes are dataclasses that Zarr cannot encode, so `raster_spec_to_plain` rewrites them into dictionaries and tuples. Separately, `stackstac` promotes STAC item properties to coordinates, and some of them hold arbitrary Python objects - `proj:bbox`, for instance, can arrive as a `set` - which will raise partway through the write. `drop_unserializable_coords` removes any non-dimension coordinate stored with an object dtype.\n",
    "\n",
    "Run it once; the cleaned `feature_ds` and `labels_ds` for each AOI will be ready for disk writes in the next step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eea52204",
   "metadata": {},
   "outputs": [],
   "source": [
    "def raster_spec_to_plain(value):\n",
    "    if isinstance(value, RasterSpec):\n",
    "        if dataclasses.is_dataclass(value):\n",
    "            data = dataclasses.asdict(value)\n",
    "        else:\n",
    "            data = {}\n",
    "            for k, v in value.__dict__.items():\n",
    "                if hasattr(v, \"to_gdal\"):\n",
    "                    data[k] = tuple(v)\n",
    "                elif isinstance(v, tuple):\n",
    "                    data[k] = list(v)\n",
    "                else:\n",
    "                    data[k] = v\n",
    "        return data\n",
    "    return value\n",
    "\n",
    "\n",
    "def drop_unserializable_coords(ds):\n",
    "    # stackstac attaches STAC metadata as coordinates (e.g. 'proj:bbox' holds a\n",
    "    # Python set). Zarr cannot serialize arbitrary objects, so drop any\n",
    "    # non-dimension coordinate stored with an object dtype before writing.\n",
    "    drop = [\n",
    "        name\n",
    "        for name, coord in ds.coords.items()\n",
    "        if name not in ds.dims and coord.dtype == object\n",
    "    ]\n",
    "    return ds.drop_vars(drop, errors=\"ignore\")\n",
    "\n",
    "\n",
    "for a in aois:\n",
    "    a[\"feature_ds\"] = drop_unserializable_coords(a[\"feature_ds\"])\n",
    "    for var in a[\"feature_ds\"].variables.values():\n",
    "        var.attrs = {k: raster_spec_to_plain(v) for k, v in var.attrs.items()}\n",
    "\n",
    "    labels_ds = drop_unserializable_coords(\n",
    "        a[\"labels_cube\"].to_dataset(name=\"worldcover\")\n",
    "    )\n",
    "    for var in labels_ds.variables.values():\n",
    "        var.attrs = {k: raster_spec_to_plain(v) for k, v in var.attrs.items()}\n",
    "    a[\"labels_ds\"] = labels_ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7de287c8",
   "metadata": {},
   "source": [
    "### 11. Materialize Features and Labels to Zarr\n",
    "\n",
    "Write the cleaned feature and label cubes to disk now so later stages can reload them without recomputation. This cell enqueues the `.to_zarr()` operations on the Dask cluster (without triggering them locally), hands the futures to the scheduler, and waits for both writes to finish. When it completes, you have consolidated Zarr stores under `FEATURES_ZARR` that store the data computed in the previous steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5fdf0779",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Each AOI is written to its own pair of Zarr stores, keyed by slug.\n",
    "for a in aois:\n",
    "    a[\"feature_path\"] = FEATURES_ZARR / f\"sentinel2_2022_{a['slug']}.zarr\"\n",
    "    a[\"labels_path\"] = FEATURES_ZARR / f\"worldcover_2022_{a['slug']}.zarr\"\n",
    "\n",
    "futures = []\n",
    "for a in aois:\n",
    "    futures.append(\n",
    "        client.compute(\n",
    "            a[\"feature_ds\"].to_zarr(\n",
    "                a[\"feature_path\"], consolidated=True, mode=\"w\", compute=False\n",
    "            )\n",
    "        )\n",
    "    )\n",
    "    futures.append(\n",
    "        client.compute(\n",
    "            a[\"labels_ds\"].to_zarr(\n",
    "                a[\"labels_path\"], consolidated=True, mode=\"w\", compute=False\n",
    "            )\n",
    "        )\n",
    "    )\n",
    "\n",
    "wait(futures)\n",
    "print(f\"Wrote {len(aois)} AOI feature/label stores under {FEATURES_ZARR}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69d02511",
   "metadata": {},
   "source": [
    "## Stage 2 · Train and Evaluate the Model\n",
    "\n",
    "Now that the data preprocessing steps are done and the data is stored in Zarr stores, we will focus on training a model for LULC classification. To keep with the theme of using the GPU where it pays off, we will use cuML's Random Forest model as the classifier. The following steps focus on loading data from the already prepared Zarr stores using Xarray, filtering relevant label classes from this data, flattening the data and sending the data to the GPU using cupy-xarray, rebalancing the classes, and finally training and evaluating the Random Forest model. The trained model is then saved to a pickle file for easy inference.\n",
    "\n",
    "This stage reads its inputs from disk rather than from Stage 1's in-memory variables, so you can restart the kernel after preprocessing and run Stage 2 on its own after only the import and configuration cells."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aea396f5",
   "metadata": {},
   "source": [
    "### 1. Define Training Targets and Class Metadata\n",
    "\n",
    "Set the random seed, split ratio, and the WorldCover classes valid after filtering when you reload the data. Adjust `target_year` if you want a different label slice, tweak `train_fraction` to control how many pixels feed the model versus evaluation, and customize the `worldcover_classes` mapping to reflect the categories you plan to predict. \n",
    "\n",
    "In this example, we ignore the snow/ice and cloud classes from the `worldcover_classes` variable below as we are calculating an annual median reflectance for each pixel and seasonal/ephermeral features will not be represented appropriately in this training data. Keeping the valid class list here ensures downstream sampling can discard nodata pixels and pixels with labels representing other classes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7eff749a",
   "metadata": {},
   "outputs": [],
   "source": [
    "target_year = 2022\n",
    "random_state = 42\n",
    "train_fraction = 0.8\n",
    "\n",
    "worldcover_classes = {\n",
    "    1: \"Water\",\n",
    "    2: \"Trees\",\n",
    "    4: \"Flooded vegetation\",\n",
    "    5: \"Crops\",\n",
    "    7: \"Built area\",\n",
    "    8: \"Bare ground\",\n",
    "    11: \"Rangeland\",\n",
    "}\n",
    "nodata_value = 0\n",
    "valid_classes = list(worldcover_classes.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac56339c",
   "metadata": {},
   "source": [
    "### 2. Reload Zarr Stores and Build Feature Stacks\n",
    "\n",
    "Open the feature and label Zarr stores and gather the bands and indices you need for modeling. Because our data has been reduced to a single annual median for each pixel, we can work on a single GPU now. Using the [cupy-xarray](https://cupy-xarray.readthedocs.io/latest/) library, we convert the Dask-backed Xarrays from the Zarr store into CuPy backed Xarrays. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "661c7ab1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded AOI 'Hudson_Valley'\n",
      "Loaded AOI 'Minneapolis'\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['B02', 'B03', 'B04', 'B08', 'NDVI', 'NDWI']"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Discover the AOI Zarr stores written in Stage 1 by scanning FEATURES_ZARR.\n",
    "# This lets Stage 2 run independently (e.g. from a fresh kernel) without needing\n",
    "# the in-memory `aois` list -- only the imports and config cells must be run first.\n",
    "feature_paths = sorted(FEATURES_ZARR.glob(\"sentinel2_2022_*.zarr\"))\n",
    "if not feature_paths:\n",
    "    raise FileNotFoundError(f\"No feature Zarr stores found under {FEATURES_ZARR}\")\n",
    "\n",
    "aoi_stores = []\n",
    "for fp in feature_paths:\n",
    "    slug = fp.name.replace(\"sentinel2_2022_\", \"\").replace(\".zarr\", \"\")\n",
    "    lp = FEATURES_ZARR / f\"worldcover_2022_{slug}.zarr\"\n",
    "    if not lp.exists():\n",
    "        raise FileNotFoundError(f\"Missing WorldCover store for '{slug}': {lp}\")\n",
    "    aoi_stores.append(\n",
    "        {\n",
    "            \"slug\": slug,\n",
    "            \"feature_ds_loaded\": xr.open_zarr(\n",
    "                fp, consolidated=True, chunks=None\n",
    "            ).load(),\n",
    "            \"label_ds_loaded\": xr.open_zarr(lp, consolidated=True, chunks=None).load(),\n",
    "        }\n",
    "    )\n",
    "    print(f\"Loaded AOI '{slug}'\")\n",
    "\n",
    "# Expose the first AOI as feature_ds / label_ds for the spot-check plot below.\n",
    "feature_ds = aoi_stores[0][\"feature_ds_loaded\"]\n",
    "label_ds = aoi_stores[0][\"label_ds_loaded\"]\n",
    "\n",
    "band_names = ALL_FEATURES  # ['B02','B03','B04','B08','NDVI','NDWI']\n",
    "band_names"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a063403",
   "metadata": {},
   "source": [
    "### 3. Spot-Check Feature and Label Rasters\n",
    "\n",
    "Plot the NDVI, NDWI, and WorldCover layers side by side to make sure the composites and labels look reasonable before sampling. Run this cell to render quicklooks with consistent color ranges for the indices and a discrete palette for the classes. Scan the maps to verify cloud masking, feature contrasts, and class coverage; if something looks off, revisit the preprocessing before training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "107e873a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ndvi_da = feature_ds[\"NDVI\"].sel(year=target_year).squeeze(drop=True)\n",
    "ndwi_da = feature_ds[\"NDWI\"].sel(year=target_year).squeeze(drop=True)\n",
    "worldcover_da = label_ds[\"worldcover\"].sel(year=target_year).squeeze(drop=True)\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(18, 6))\n",
    "\n",
    "# NDVI quicklook (values already in [-1, 1])\n",
    "ndvi_da.plot.imshow(\n",
    "    ax=axes[0],\n",
    "    vmin=-1,\n",
    "    vmax=1,\n",
    "    cmap=\"RdYlGn\",\n",
    "    add_colorbar=True,\n",
    "    cbar_kwargs={\"label\": \"NDVI\"},\n",
    ")\n",
    "axes[0].set_title(f\"NDVI for {target_year}\")\n",
    "axes[0].set_xlabel(\"x\")\n",
    "axes[0].set_ylabel(\"y\")\n",
    "\n",
    "# NDWI quicklook (same range)\n",
    "ndwi_da.plot.imshow(\n",
    "    ax=axes[1],\n",
    "    vmin=-1,\n",
    "    vmax=1,\n",
    "    cmap=\"BrBG\",\n",
    "    add_colorbar=True,\n",
    "    cbar_kwargs={\"label\": \"NDWI\"},\n",
    ")\n",
    "axes[1].set_title(f\"NDWI for {target_year}\")\n",
    "axes[1].set_xlabel(\"x\")\n",
    "axes[1].set_ylabel(\"y\")\n",
    "\n",
    "# WorldCover visualization with discrete colors\n",
    "worldcover_colors = {\n",
    "    1: \"#419bdf\",\n",
    "    2: \"#397d49\",\n",
    "    4: \"#7a87c6\",\n",
    "    5: \"#e49635\",\n",
    "    7: \"#c4281b\",\n",
    "    8: \"#a59b8f\",\n",
    "    11: \"#e3e2c3\",\n",
    "}\n",
    "classes = list(worldcover_colors.keys())\n",
    "cmap = ListedColormap([worldcover_colors[k] for k in classes])\n",
    "norm = BoundaryNorm(classes + [classes[-1] + 1], cmap.N)\n",
    "\n",
    "worldcover_da.plot.imshow(\n",
    "    ax=axes[2],\n",
    "    cmap=cmap,\n",
    "    norm=norm,\n",
    "    add_colorbar=False,\n",
    ")\n",
    "axes[2].set_title(\"ESA WorldCover\")\n",
    "axes[2].set_xlabel(\"x\")\n",
    "axes[2].set_ylabel(\"y\")\n",
    "\n",
    "# Legend for WorldCover\n",
    "handles = [\n",
    "    plt.Line2D(\n",
    "        [0],\n",
    "        [0],\n",
    "        marker=\"s\",\n",
    "        color=\"none\",\n",
    "        markerfacecolor=worldcover_colors[k],\n",
    "        markersize=10,\n",
    "    )\n",
    "    for k in classes\n",
    "]\n",
    "axes[2].legend(\n",
    "    handles,\n",
    "    [f\"{k}: {worldcover_classes[k]}\" for k in classes],\n",
    "    loc=\"upper right\",\n",
    "    frameon=True,\n",
    ")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d1cfc88",
   "metadata": {},
   "source": [
    "### 4. Filter Valid Pixels and Move Samples to GPU Memory\n",
    "\n",
    "Run these cells together to filter usable training samples, flatten the rasters into tabular form, and stage the data on the GPU. First, build a mask that requires finite feature values, finite labels, and a label that is a part of our valid class list. Then we apply that mask so cloudy or nodata pixels drop out. Next, rasters are stacked into a `(samples × bands)` layout and any rows with missing values are discarded. Each AOI is flattened separately and the results concatenated, so the two UTM grids never have to be reconciled - once the pixels are rows in a table, their projection no longer matters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c9217d25",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hudson_Valley: 3,769,493 valid pixels\n",
      "Minneapolis: 6,114,962 valid pixels\n"
     ]
    }
   ],
   "source": [
    "# Flatten each AOI into valid (features, labels) rows on the GPU.\n",
    "# Rows are kept only where every feature is finite, the label is finite,\n",
    "# non-nodata, and belongs to our valid class list.\n",
    "feat_parts, label_parts = [], []\n",
    "for a in aoi_stores:\n",
    "    fds = a[\"feature_ds_loaded\"]\n",
    "    lds = a[\"label_ds_loaded\"]\n",
    "\n",
    "    spectral = (\n",
    "        fds[\"bands\"]\n",
    "        .sel(year=target_year)\n",
    "        .assign_coords(band=[str(b) for b in fds.band.values])\n",
    "    )\n",
    "    ndvi = fds[\"NDVI\"].sel(year=target_year).expand_dims(band=[\"NDVI\"])\n",
    "    ndwi = fds[\"NDWI\"].sel(year=target_year).expand_dims(band=[\"NDWI\"])\n",
    "\n",
    "    feats = xr.concat([spectral, ndvi, ndwi], dim=\"band\").cupy.as_cupy()\n",
    "    labs = lds[\"worldcover\"].sel(year=target_year).cupy.as_cupy()\n",
    "\n",
    "    fx = feats.data.astype(cp.float32)  # (band, y, x)\n",
    "    ly = labs.data  # (y, x)\n",
    "    flat_x = fx.reshape(fx.shape[0], -1).T  # (samples, band)\n",
    "    flat_y = ly.reshape(-1)\n",
    "\n",
    "    keep = (\n",
    "        cp.isfinite(flat_x).all(axis=1)\n",
    "        & cp.isfinite(flat_y)\n",
    "        & (flat_y != nodata_value)\n",
    "        & cp.isin(flat_y, cp.asarray(valid_classes))\n",
    "    )\n",
    "    feat_parts.append(flat_x[keep])\n",
    "    label_parts.append(flat_y[keep].astype(cp.int32))\n",
    "    print(f\"{a['slug']}: {int(keep.sum()):,} valid pixels\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9701f859",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Combined samples across 2 AOIs: 9,884,455\n"
     ]
    }
   ],
   "source": [
    "flat_features = cp.concatenate(feat_parts, axis=0)\n",
    "flat_labels = cp.concatenate(label_parts, axis=0)\n",
    "\n",
    "del feat_parts, label_parts\n",
    "gc.collect()\n",
    "\n",
    "print(f\"Combined samples across {len(aoi_stores)} AOIs: {flat_features.shape[0]:,}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b00d7d6f",
   "metadata": {},
   "source": [
    "### 5. Rebalance the Classes, Split, and Convert to cuDF Tables\n",
    "\n",
    "Raw land cover is heavily imbalanced. Built area and trees dominate our two AOIs while flooded vegetation and bare ground are rare, and a forest trained on those raw counts will happily ignore the rare classes because accuracy barely notices. Two changes address this.\n",
    "\n",
    "First, **rebalancing**. We compute the median class count, cap any class above three times that median by sampling without replacement, and lift any class below half that median by sampling with replacement. This compresses the dynamic range of class support without discarding the bulk of the majority classes.\n",
    "\n",
    "Second, a **stratified split**. Rather than shuffling all samples and slicing at 80%, we take 80% of each class independently. This guarantees every class is represented in both the training and validation sets, which matters once the rare classes have been oversampled - a random split could otherwise place all copies of a rare pixel on one side of the divide.\n",
    "\n",
    "The two cells below apply the rebalancing and split, then wrap each subset in cuDF DataFrames and Series labelled with the band names. cuML estimators consume these cuDF objects directly, so you're ready to fit the model next."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c8dfd79",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Raw class counts: {1: 746826, 2: 2360909, 4: 16934, 5: 135309, 7: 6155810, 8: 21538, 11: 447129} | CAP=1,341,387 FLOOR=223,564\n"
     ]
    }
   ],
   "source": [
    "rng = cp.random.RandomState(random_state)\n",
    "\n",
    "# --- Rebalance: cap the majority classes, oversample the rare ones ---\n",
    "counts = {int(c): int((flat_labels == c).sum()) for c in valid_classes}\n",
    "present = [v for v in counts.values() if v > 0]\n",
    "median_count = int(np.median(present))\n",
    "CAP = median_count * 3  # majority ceiling (undersample above this)\n",
    "FLOOR = int(\n",
    "    median_count * 0.5\n",
    ")  # minority floor (oversample with replacement below this)\n",
    "print(\"Raw class counts:\", counts, f\"| CAP={CAP:,} FLOOR={FLOOR:,}\")\n",
    "\n",
    "bal_parts = []\n",
    "for c in valid_classes:\n",
    "    idx = cp.where(flat_labels == c)[0]\n",
    "    n = int(idx.shape[0])\n",
    "    if n == 0:\n",
    "        continue\n",
    "    if n > CAP:\n",
    "        idx = rng.choice(idx, CAP, replace=False)\n",
    "    elif n < FLOOR:\n",
    "        idx = rng.choice(idx, FLOOR, replace=True)\n",
    "    bal_parts.append(idx)\n",
    "\n",
    "bal_idx = rng.permutation(cp.concatenate(bal_parts))\n",
    "flat_features = flat_features[bal_idx]\n",
    "flat_labels = flat_labels[bal_idx]\n",
    "\n",
    "# --- Stratified train/test split so every class appears in both sets ---\n",
    "train_parts, test_parts = [], []\n",
    "for c in valid_classes:\n",
    "    idx = rng.permutation(cp.where(flat_labels == c)[0])\n",
    "    k = int(train_fraction * idx.shape[0])\n",
    "    train_parts.append(idx[:k])\n",
    "    test_parts.append(idx[k:])\n",
    "\n",
    "train_idx = rng.permutation(cp.concatenate(train_parts))\n",
    "test_idx = rng.permutation(cp.concatenate(test_parts))\n",
    "\n",
    "X_train_cp = flat_features[train_idx]\n",
    "y_train_cp = flat_labels[train_idx]\n",
    "X_test_cp = flat_features[test_idx]\n",
    "y_test_cp = flat_labels[test_idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3c9bb2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_cudf = cudf.DataFrame(X_train_cp, columns=band_names)\n",
    "y_train_cudf = cudf.Series(y_train_cp, name=\"worldcover\")\n",
    "X_test_cudf = cudf.DataFrame(X_test_cp, columns=band_names)\n",
    "y_test_cudf = cudf.Series(y_test_cp, name=\"worldcover\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8ad173c",
   "metadata": {},
   "source": [
    "### 6. Inspect Class Balance Before Training\n",
    "\n",
    "Plot the per-class pixel counts for the training and validation splits to confirm you carried enough samples forward for each label. Run this cell to visualize the distributions side by side with annotated totals.\n",
    "\n",
    "Compare this against what the raw data looks like. Before rebalancing, the urban AOI alone left flooded vegetation, crops and bare ground with so little support that the model never predicted them at all. After adding the second AOI and applying the cap-and-floor rebalancing above, every class carries enough samples to be learnable, and the counts fall within a much narrower band. The remaining skew is intentional: we compress the imbalance rather than eliminate it, because the underlying landscape genuinely is mostly built area and trees."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "48f526a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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AAAAIOoJSAAAAAAAACDqCUgAAAAAAAAg6glIAAAAAAAAIOoJSAAAAAAAAsGD7PxlwpeZEjIe7AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_counts = y_train_cudf.value_counts().sort_index().to_pandas()\n",
    "test_counts = y_test_cudf.value_counts().sort_index().to_pandas()\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 4), sharey=True)\n",
    "train_counts.plot(kind=\"bar\", ax=ax[0], color=\"steelblue\", edgecolor=\"black\")\n",
    "ax[0].set_title(\"Training Set Class Counts\")\n",
    "ax[0].set_xlabel(\"WorldCover Class\")\n",
    "ax[0].set_ylabel(\"Pixels\")\n",
    "\n",
    "test_counts.plot(kind=\"bar\", ax=ax[1], color=\"darkorange\", edgecolor=\"black\")\n",
    "ax[1].set_title(\"Validation Set Class Counts\")\n",
    "ax[1].set_xlabel(\"WorldCover Class\")\n",
    "\n",
    "# Annotate bars\n",
    "for axis, counts in zip(ax, [train_counts, test_counts], strict=False):\n",
    "    for patch, val in zip(axis.patches, counts.values, strict=False):\n",
    "        axis.annotate(\n",
    "            f\"{int(val):,}\",\n",
    "            (patch.get_x() + patch.get_width() / 2, patch.get_height()),\n",
    "            ha=\"center\",\n",
    "            va=\"bottom\",\n",
    "            fontsize=9,\n",
    "            xytext=(0, 4),\n",
    "            textcoords=\"offset points\",\n",
    "        )\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "146a8301",
   "metadata": {},
   "source": [
    "### 7. Train a cuML Random Forest on the GPU\n",
    "\n",
    "Instantiate the cuML `RandomForestClassifier` and fit it on the cuDF training table. Run this cell to launch GPU-accelerated training; the estimator consumes the cuDF inputs directly and keeps the model resident on device for rapid evaluation in the following steps.\n",
    "\n",
    "A few of the hyperparameters below are deliberate rather than default:\n",
    "\n",
    "- `max_features=0.5` considers three of our six features at each split. The `sqrt` default works out to two features, which is stingy when the feature set is this small and the bands are correlated.\n",
    "- `min_samples_leaf=16` prevents leaves from memorizing the oversampled rare-class rows, which appear multiple times after rebalancing.\n",
    "- `max_depth=16` is cuML's default, stated explicitly so the model is reproducible if that default ever changes.\n",
    "- `n_streams=1` makes training deterministic given `random_state`. Raise it to 4 for a speedup if you do not need bit-identical runs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1dbf6db1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: #000;\n",
       "  --sklearn-color-text-muted: #666;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: flex;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "  align-items: start;\n",
       "  justify-content: space-between;\n",
       "  gap: 0.5em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
       "  font-size: 0.6rem;\n",
       "  font-weight: lighter;\n",
       "  color: var(--sklearn-color-text-muted);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  display: none;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  overflow: visible;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 0.5em;\n",
       "  text-align: center;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".estimator-table summary {\n",
       "    padding: .5rem;\n",
       "    font-family: monospace;\n",
       "    cursor: pointer;\n",
       "}\n",
       "\n",
       ".estimator-table details[open] {\n",
       "    padding-left: 0.1rem;\n",
       "    padding-right: 0.1rem;\n",
       "    padding-bottom: 0.3rem;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table {\n",
       "    margin-left: auto !important;\n",
       "    margin-right: auto !important;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
       "    background-color: #fff;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(even) {\n",
       "    background-color: #f6f6f6;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:hover {\n",
       "    background-color: #e0e0e0;\n",
       "}\n",
       "\n",
       ".estimator-table table td {\n",
       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
       "}\n",
       "\n",
       ".user-set td {\n",
       "    color:rgb(255, 94, 0);\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".user-set td.value pre {\n",
       "    color:rgb(255, 94, 0) !important;\n",
       "    background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".default td {\n",
       "    color: black;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".user-set td i,\n",
       ".default td i {\n",
       "    color: black;\n",
       "}\n",
       "\n",
       ".copy-paste-icon {\n",
       "    background-image: url(data:image/svg+xml;base64,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);\n",
       "    background-repeat: no-repeat;\n",
       "    background-size: 14px 14px;\n",
       "    background-position: 0;\n",
       "    display: inline-block;\n",
       "    width: 14px;\n",
       "    height: 14px;\n",
       "    cursor: pointer;\n",
       "}\n",
       "</style><body><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>RandomForestClassifier</div></div><div><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\"><pre>RandomForestClassifier()</pre></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
       "    // Get the parameter prefix from the closest toggleable content\n",
       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
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      "text/plain": [
       "RandomForestClassifier()"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf = RandomForestClassifier(\n",
    "    n_estimators=300,\n",
    "    n_bins=256,\n",
    "    n_streams=1,  # deterministic with random_state; use 4 for speed if you don't care\n",
    "    bootstrap=True,\n",
    "    split_criterion=\"gini\",\n",
    "    max_features=0.5,  # 3 of 6 features per split (default sqrt≈2 is stingy here)\n",
    "    min_samples_leaf=16,  # stops leaves from memorizing the 10-13x duplicated rare classes\n",
    "    max_depth=16,  # cuML default, stated explicitly\n",
    "    random_state=random_state,\n",
    ")\n",
    "\n",
    "rf.fit(X_train_cudf, y_train_cudf)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae819a61",
   "metadata": {},
   "source": [
    "While the model training is in progress, if you want to visualize the system hardware metrics and understand GPU and memory consumption within your Jupyterlab environment, consider using the [NVDashboard](https://github.com/rapidsai/jupyterlab-nvdashboard) Jupyterlab extension."
   ]
  },
  {
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   "id": "050ab188",
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   "source": [
    "### 8. Score the Model and Build a Confusion Matrix\n",
    "\n",
    "Evaluate the trained forest on the validation split by predicting in GPU memory and computing accuracy with cuML. We report two numbers here, and the gap between them is the point.\n",
    "\n",
    "**Accuracy** answers \"what fraction of pixels did we get right?\" - which a model can score well on simply by predicting the majority class everywhere. **Macro-F1** averages the per-class F1 scores with equal weight, so a class the model never predicts drags it down no matter how rare that class is. Reporting only accuracy on land-cover data is how a model that ignores three of seven classes ends up looking respectable.\n",
    "\n",
    "Run this cell to print both scores and produce an `xarray.DataArray` you can visualize in the next step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f286233",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validation accuracy: 0.781\n",
      "Macro-F1 (equal weight per class): 0.729\n"
     ]
    },
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       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (actual: 7, predicted: 7)&gt; Size: 392B\n",
       "array([[132595,   3819,   5632,     28,   6806,    111,    375],\n",
       "       [  1040, 240226,   1538,    171,  19571,      0,   5732],\n",
       "       [   864,   4492,  25534,    119,  11007,      5,   2692],\n",
       "       [    68,   2526,    152,  19940,  14008,      2,   8017],\n",
       "       [  2419,  35187,   1648,   6076, 206903,   4382,  11663],\n",
       "       [   140,     56,     20,    675,   5359,  38446,     17],\n",
       "       [   605,  10815,   1552,   7159,  22425,      7,  46863]])\n",
       "Coordinates:\n",
       "  * actual     (actual) int64 56B 1 2 4 5 7 8 11\n",
       "  * predicted  (predicted) int64 56B 1 2 4 5 7 8 11</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>actual</span>: 7</li><li><span class='xr-has-index'>predicted</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d9d67fb4-6580-407b-9df8-cf34661fda61' class='xr-array-in' type='checkbox' checked><label for='section-d9d67fb4-6580-407b-9df8-cf34661fda61' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>132595 3819 5632 28 6806 111 375 ... 605 10815 1552 7159 22425 7 46863</span></div><div class='xr-array-data'><pre>array([[132595,   3819,   5632,     28,   6806,    111,    375],\n",
       "       [  1040, 240226,   1538,    171,  19571,      0,   5732],\n",
       "       [   864,   4492,  25534,    119,  11007,      5,   2692],\n",
       "       [    68,   2526,    152,  19940,  14008,      2,   8017],\n",
       "       [  2419,  35187,   1648,   6076, 206903,   4382,  11663],\n",
       "       [   140,     56,     20,    675,   5359,  38446,     17],\n",
       "       [   605,  10815,   1552,   7159,  22425,      7,  46863]])</pre></div></div></li><li class='xr-section-item'><input id='section-8d951e80-9c46-4ca4-a87d-b9b8249320ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8d951e80-9c46-4ca4-a87d-b9b8249320ff' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>actual</span></div><div class='xr-var-dims'>(actual)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 4 5 7 8 11</div><input id='attrs-9aa9e5cd-c6f0-4c61-a0cf-a1a2bd7f975e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9aa9e5cd-c6f0-4c61-a0cf-a1a2bd7f975e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63781df4-7bbd-4d40-9010-fca370dc43bd' class='xr-var-data-in' type='checkbox'><label for='data-63781df4-7bbd-4d40-9010-fca370dc43bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  4,  5,  7,  8, 11])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>predicted</span></div><div class='xr-var-dims'>(predicted)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 4 5 7 8 11</div><input id='attrs-09403379-5b28-4a88-8d05-5abad545a2c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09403379-5b28-4a88-8d05-5abad545a2c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9ff9be7-e409-4d16-98da-4c7d51386399' class='xr-var-data-in' type='checkbox'><label for='data-f9ff9be7-e409-4d16-98da-4c7d51386399' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  4,  5,  7,  8, 11])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (actual: 7, predicted: 7)> Size: 392B\n",
       "array([[132595,   3819,   5632,     28,   6806,    111,    375],\n",
       "       [  1040, 240226,   1538,    171,  19571,      0,   5732],\n",
       "       [   864,   4492,  25534,    119,  11007,      5,   2692],\n",
       "       [    68,   2526,    152,  19940,  14008,      2,   8017],\n",
       "       [  2419,  35187,   1648,   6076, 206903,   4382,  11663],\n",
       "       [   140,     56,     20,    675,   5359,  38446,     17],\n",
       "       [   605,  10815,   1552,   7159,  22425,      7,  46863]])\n",
       "Coordinates:\n",
       "  * actual     (actual) int64 56B 1 2 4 5 7 8 11\n",
       "  * predicted  (predicted) int64 56B 1 2 4 5 7 8 11"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_gpu = rf.predict(X_test_cudf)\n",
    "\n",
    "val_acc = accuracy_score(y_test_cudf, pred_gpu)\n",
    "print(f\"Validation accuracy: {val_acc:.3f}\")\n",
    "\n",
    "pred_cpu = pred_gpu.to_pandas()\n",
    "test_cpu = y_test_cudf.to_pandas()\n",
    "\n",
    "# Macro-F1 weights every class equally, so it exposes rare-class performance\n",
    "# that overall accuracy (dominated by Built Area) hides.\n",
    "f1_macro = f1_score(test_cpu, pred_cpu, labels=valid_classes, average=\"macro\")\n",
    "print(f\"Macro-F1 (equal weight per class): {f1_macro:.3f}\")\n",
    "\n",
    "cm = confusion_matrix(test_cpu, pred_cpu, labels=valid_classes)\n",
    "cm_da = xr.DataArray(\n",
    "    cm,\n",
    "    coords={\"actual\": valid_classes, \"predicted\": valid_classes},\n",
    "    dims=(\"actual\", \"predicted\"),\n",
    ")\n",
    "cm_da"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6192e2d8",
   "metadata": {},
   "source": [
    "### 9. Visualize Confusion Matrix and Interpret Class Coverage\n",
    "\n",
    "Plot the confusion matrix to see where the model succeeds and where it still struggles. Run this cell to render the heatmap."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad5303e8",
   "metadata": {},
   "source": [
    "::::{note}\n",
    "Adding the second AOI and rebalancing traded headline accuracy for balanced performance: accuracy fell from 0.908 to 0.781, while macro-F1 rose from roughly 0.3 to 0.729 and every class is now predicted. The earlier 0.908 was measuring the model's ability to say \"built area\" in a mostly built-up scene.\n",
    "::::"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8dc51445",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(test_cpu, pred_cpu, labels=valid_classes)\n",
    "labels_pretty = [worldcover_classes[c] for c in valid_classes]\n",
    "\n",
    "plt.figure(figsize=(6, 5))\n",
    "sns.heatmap(\n",
    "    cm,\n",
    "    annot=True,\n",
    "    fmt=\"d\",\n",
    "    cmap=\"Blues\",\n",
    "    xticklabels=labels_pretty,\n",
    "    yticklabels=labels_pretty,\n",
    ")\n",
    "plt.title(\"Validation Confusion Matrix\")\n",
    "plt.xlabel(\"Predicted\")\n",
    "plt.ylabel(\"Actual\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3762d89b",
   "metadata": {},
   "source": [
    "### 10. Review Precision/Recall by Class\n",
    "\n",
    "Summarize model performance with per-class precision and recall. Run this cell to chart the scores.\n",
    "\n",
    "Every class now scores non-zero, but they do not score equally. Water (F1 0.92), bare ground (0.88) and trees (0.85) are separated cleanly by NDVI and NDWI. Built area (0.75) and flooded vegetation (0.63) are respectable. **Crops (0.51) and rangeland (0.57) are the weak points**, and the confusion matrix above shows why: both are frequently predicted as built area. An annual median flattens the growth cycle that distinguishes cropland from bare or developed ground, and the four visible/near-infrared bands we use cannot see the moisture difference that would separate them. Adding the SWIR bands B11 and B12 is the most promising next step, and we return to it at the end of the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "828e7134",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "report = classification_report(\n",
    "    test_cpu,\n",
    "    pred_cpu,\n",
    "    labels=valid_classes,\n",
    "    output_dict=True,\n",
    ")\n",
    "pr_table = pd.DataFrame(report).loc[[\"precision\", \"recall\"], map(str, valid_classes)].T\n",
    "pr_table.index = labels_pretty\n",
    "\n",
    "ax = pr_table.plot(kind=\"bar\", linewidth=0.8, edgecolor=\"black\", figsize=(7, 4))\n",
    "ax.set_title(\"Precision & Recall per Class\")\n",
    "ax.set_ylabel(\"Score\")\n",
    "ax.set_ylim(0, 1)\n",
    "ax.set_xticklabels(labels_pretty, rotation=45, ha=\"right\")\n",
    "ax.legend(loc=\"lower right\")\n",
    "\n",
    "for i, container in enumerate(ax.containers):\n",
    "    shift = -0.05 if i == 0 else 0.05  # adjust per container\n",
    "    for patch, val in zip(container.patches, container.datavalues, strict=False):\n",
    "        ax.annotate(\n",
    "            f\"{val:.2f}\",\n",
    "            (\n",
    "                patch.get_x() + patch.get_width() / 2 + shift,\n",
    "                patch.get_height(),\n",
    "            ),\n",
    "            ha=\"center\",\n",
    "            va=\"bottom\",\n",
    "            fontsize=9,\n",
    "            xytext=(0, 3),\n",
    "            textcoords=\"offset points\",\n",
    "        )\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca88373d",
   "metadata": {},
   "source": [
    "### 11. Persist the Trained Model\n",
    "\n",
    "Save the fitted Random Forest so you can reload it for inference. Run this cell to create the model directory if needed and pickle the cuML estimator. Keeping a serialized copy lets you deploy predictions without retraining or rerunning the feature pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f40e5dba",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(str(MODEL_PATH), \"wb\") as f:\n",
    "    pickle.dump(rf, f)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1eee3204",
   "metadata": {},
   "source": [
    "## Stage 3 · Run Inference and Publish the classification tile\n",
    "\n",
    "Now that we have finished training the model, in this stage we load the saved Random Forest model, pull a fresh Sentinel-2 tile, compute the familiar spectral features on the GPU, and classify each pixel. After reshaping the predictions into a raster, we compare them against the tile’s true-color composite to compare the two, then write the result to a Cloud-Optimized GeoTIFF (locally or to S3)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f3fc70e",
   "metadata": {},
   "source": [
    "### 1. Reload the Trained Model\n",
    "\n",
    "Start by bringing the serialized Random Forest back into memory. Run this cell to unpickle the estimator you saved in Stage 2; the returned object keeps its GPU parameters and is ready to score new tiles without retraining."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc313cdd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: #000;\n",
       "  --sklearn-color-text-muted: #666;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-3 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-3 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: flex;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "  align-items: start;\n",
       "  justify-content: space-between;\n",
       "  gap: 0.5em;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label .caption {\n",
       "  font-size: 0.6rem;\n",
       "  font-weight: lighter;\n",
       "  color: var(--sklearn-color-text-muted);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content {\n",
       "  display: none;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  overflow: visible;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-3 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-3 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 0.5em;\n",
       "  text-align: center;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-3 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".estimator-table summary {\n",
       "    padding: .5rem;\n",
       "    font-family: monospace;\n",
       "    cursor: pointer;\n",
       "}\n",
       "\n",
       ".estimator-table details[open] {\n",
       "    padding-left: 0.1rem;\n",
       "    padding-right: 0.1rem;\n",
       "    padding-bottom: 0.3rem;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table {\n",
       "    margin-left: auto !important;\n",
       "    margin-right: auto !important;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
       "    background-color: #fff;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(even) {\n",
       "    background-color: #f6f6f6;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:hover {\n",
       "    background-color: #e0e0e0;\n",
       "}\n",
       "\n",
       ".estimator-table table td {\n",
       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
       "}\n",
       "\n",
       ".user-set td {\n",
       "    color:rgb(255, 94, 0);\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".user-set td.value pre {\n",
       "    color:rgb(255, 94, 0) !important;\n",
       "    background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".default td {\n",
       "    color: black;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".user-set td i,\n",
       ".default td i {\n",
       "    color: black;\n",
       "}\n",
       "\n",
       ".copy-paste-icon {\n",
       "    background-image: url(data:image/svg+xml;base64,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);\n",
       "    background-repeat: no-repeat;\n",
       "    background-size: 14px 14px;\n",
       "    background-position: 0;\n",
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       "</style><body><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>RandomForestClassifier</div></div><div><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\"><pre>RandomForestClassifier()</pre></div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
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      "text/plain": [
       "RandomForestClassifier()"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(str(MODEL_PATH), \"rb\") as f:\n",
    "    rf = pickle.load(f)\n",
    "rf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62029faf",
   "metadata": {},
   "source": [
    "### 2. Locate the Sentinel-2 Tile to Score\n",
    "\n",
    "Connect to the Planetary Computer STAC endpoint, supply the Sentinel-2 tile ID you want to score, and stage the COG output path.\n",
    "\n",
    "This example targets `S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811`, a tile over the Chicago metropolitan area in UTM zone 16 - a region the model has never seen, since training covered Minnesota and New York. Sentinel-2C scenes carry the same Level-2A product and band set as 2A and 2B, so no changes are needed to consume one.\n",
    "\n",
    "An earlier revision scored a Manhattan tile, which turned out to be a poor demonstration: the long shadows cast by tall buildings push NDWI positive, and the model dutifully labelled downtown as water. It is a useful reminder that a spectral index is a proxy, not a measurement, and that dense urban cores are a genuinely hard case for a model trained on annual medians.\n",
    "\n",
    "Run these cells to verify the tile exists and fetch its STAC item before you start feature extraction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb83ec72",
   "metadata": {},
   "outputs": [],
   "source": [
    "stac_client = Client.open(CATALOG_URL, modifier=planetary_computer.sign_inplace)\n",
    "\n",
    "tile_id = \"S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811\"  # replace as needed\n",
    "UPLOAD_TO_S3 = False\n",
    "cog_path = INFERENCE_OUTPUT_DIR / f\"lulc_{tile_id}.tif\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc57615c",
   "metadata": {},
   "outputs": [
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       "            <span class=\"pystac-v\">42.4526297</span>\n",
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       "                \n",
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       "            <span class=\"pystac-v\">\"2026-06-23T16:38:41.025000Z\"</span>\n",
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       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"msi\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:mgrs_tile</span>\n",
       "            <span class=\"pystac-v\">\"16TDM\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">constellation</span>\n",
       "            <span class=\"pystac-v\">\"Sentinel 2\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:granule_id</span>\n",
       "            <span class=\"pystac-v\">\"S2C_OPER_MSI_L2A_TL_2CPS_20260623T214811_A009391_T16TDM_N05.12\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">eo:cloud_cover</span>\n",
       "            <span class=\"pystac-v\">4.315921</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:datatake_id</span>\n",
       "            <span class=\"pystac-v\">\"GS2C_20260623T163841_009391_N05.12\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:product_uri</span>\n",
       "            <span class=\"pystac-v\">\"S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:datastrip_id</span>\n",
       "            <span class=\"pystac-v\">\"S2C_OPER_MSI_L2A_DS_2CPS_20260623T214811_S20260623T164318_N05.12\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:product_type</span>\n",
       "            <span class=\"pystac-v\">\"S2MSI2A\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">sat:orbit_state</span>\n",
       "            <span class=\"pystac-v\">\"descending\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:datatake_type</span>\n",
       "            <span class=\"pystac-v\">\"INS-NOBS\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:generation_time</span>\n",
       "            <span class=\"pystac-v\">\"2026-06-23T21:48:11.000000Z\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">sat:relative_orbit</span>\n",
       "            <span class=\"pystac-v\">126</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:water_percentage</span>\n",
       "            <span class=\"pystac-v\">48.776373</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:mean_solar_zenith</span>\n",
       "            <span class=\"pystac-v\">22.4167585154342</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:mean_solar_azimuth</span>\n",
       "            <span class=\"pystac-v\">141.07727798423</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:processing_baseline</span>\n",
       "            <span class=\"pystac-v\">\"05.12\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:snow_ice_percentage</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:vegetation_percentage</span>\n",
       "            <span class=\"pystac-v\">32.071263</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:thin_cirrus_percentage</span>\n",
       "            <span class=\"pystac-v\">3.291811</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:cloud_shadow_percentage</span>\n",
       "            <span class=\"pystac-v\">0.014204</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:nodata_pixel_percentage</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:unclassified_percentage</span>\n",
       "            <span class=\"pystac-v\">0.234604</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:not_vegetated_percentage</span>\n",
       "            <span class=\"pystac-v\">14.494739</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:degraded_msi_data_percentage</span>\n",
       "            <span class=\"pystac-v\">0.0145</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:high_proba_clouds_percentage</span>\n",
       "            <span class=\"pystac-v\">0.151851</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:reflectance_conversion_factor</span>\n",
       "            <span class=\"pystac-v\">0.968468136172083</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:medium_proba_clouds_percentage</span>\n",
       "            <span class=\"pystac-v\">0.87226</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">s2:saturated_defective_pixel_percentage</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">proj:code</span>\n",
       "            <span class=\"pystac-v\">\"EPSG:32616\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "                \n",
       "            \n",
       "                \n",
       "                    <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">links</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">rel</span>\n",
       "            <span class=\"pystac-v\">\"collection\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-2-l2a\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">rel</span>\n",
       "            <span class=\"pystac-v\">\"parent\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-2-l2a\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">2</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">rel</span>\n",
       "            <span class=\"pystac-v\">\"root\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://planetarycomputer.microsoft.com/api/stac/v1\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Microsoft Planetary Computer STAC API\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">3</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">rel</span>\n",
       "            <span class=\"pystac-v\">\"self\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-2-l2a/items/S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/geo+json\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">4</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">rel</span>\n",
       "            <span class=\"pystac-v\">\"license\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">5</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">rel</span>\n",
       "            <span class=\"pystac-v\">\"preview\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://planetarycomputer.microsoft.com/api/data/v1/item/map?collection=sentinel-2-l2a&item=S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"text/html\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Map of item\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "                \n",
       "            \n",
       "                \n",
       "                    \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">assets</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">AOT</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R10m/T16TDM_20260623T163841_AOT_10m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Aerosol optical thickness (AOT)\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B01</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R60m/T16TDM_20260623T163841_B01_60m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 1 - Coastal aerosol - 60m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">1830</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">1830</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">60.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-60.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">60.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B01\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"coastal\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 1 - Coastal aerosol\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.443</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.027</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B02</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R10m/T16TDM_20260623T163841_B02_10m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 2 - Blue - 10m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B02\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"blue\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 2 - Blue\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.49</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.098</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B03</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R10m/T16TDM_20260623T163841_B03_10m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 3 - Green - 10m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B03\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"green\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 3 - Green\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.56</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.045</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B04</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R10m/T16TDM_20260623T163841_B04_10m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 4 - Red - 10m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B04\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"red\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 4 - Red\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.665</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.038</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B05</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R20m/T16TDM_20260623T163841_B05_20m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 5 - Vegetation red edge 1 - 20m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B05\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"rededge\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 5 - Vegetation red edge 1\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.704</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.019</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B06</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R20m/T16TDM_20260623T163841_B06_20m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 6 - Vegetation red edge 2 - 20m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B06\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"rededge\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 6 - Vegetation red edge 2\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.74</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.018</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B07</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R20m/T16TDM_20260623T163841_B07_20m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 7 - Vegetation red edge 3 - 20m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B07\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"rededge\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 7 - Vegetation red edge 3\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.783</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.028</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B08</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R10m/T16TDM_20260623T163841_B08_10m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 8 - NIR - 10m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B08\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"nir\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 8 - NIR\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.842</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.145</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B09</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R60m/T16TDM_20260623T163841_B09_60m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 9 - Water vapor - 60m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">1830</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">1830</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">60.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-60.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">60.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B09\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 9 - Water vapor\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.945</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.026</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B11</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R20m/T16TDM_20260623T163841_B11_20m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 11 - SWIR (1.6) - 20m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B11\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"swir16\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 11 - SWIR (1.6)\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">1.61</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.143</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B12</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R20m/T16TDM_20260623T163841_B12_20m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 12 - SWIR (2.2) - 20m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B12\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"swir22\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 12 - SWIR (2.2)\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">2.19</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.242</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">B8A</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R20m/T16TDM_20260623T163841_B8A_20m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Band 8A - Vegetation red edge 4 - 20m\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B8A\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"rededge\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 8A - Vegetation red edge 4\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.865</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.033</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">SCL</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R20m/T16TDM_20260623T163841_SCL_20m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Scene classfication map (SCL)\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">5490</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">20.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">WVP</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R10m/T16TDM_20260623T163841_WVP_10m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Water vapour (WVP)\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">visual</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/IMG_DATA/R10m/T16TDM_20260623T163841_TCI_10m.tif?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/tiff; application=geotiff; profile=cloud-optimized\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"True color image\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:bbox</span><span class=\"pystac-l\">[] 4 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">4590240.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">509760.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:shape</span><span class=\"pystac-l\">[] 2 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">10980</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">proj:transform</span><span class=\"pystac-l\">[] 6 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">1</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">2</span>\n",
       "            <span class=\"pystac-v\">399960.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">3</span>\n",
       "            <span class=\"pystac-v\">0.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">4</span>\n",
       "            <span class=\"pystac-v\">-10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">5</span>\n",
       "            <span class=\"pystac-v\">4700040.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">gsd</span>\n",
       "            <span class=\"pystac-v\">10.0</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">eo:bands</span><span class=\"pystac-l\">[] 3 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">0</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B04\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"red\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 4 - Red\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.665</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.038</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">1</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B03\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"green\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 3 - Green\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.56</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.045</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">2</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">name</span>\n",
       "            <span class=\"pystac-v\">\"B02\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">common_name</span>\n",
       "            <span class=\"pystac-v\">\"blue\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">description</span>\n",
       "            <span class=\"pystac-v\">\"Band 2 - Blue\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">center_wavelength</span>\n",
       "            <span class=\"pystac-v\">0.49</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">full_width_half_max</span>\n",
       "            <span class=\"pystac-v\">0.098</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"data\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">safe-manifest</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/manifest.safe?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/xml\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"SAFE manifest\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">granule-metadata</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/GRANULE/L2A_T16TDM_A009391_20260623T164318/MTD_TL.xml?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/xml\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Granule metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">inspire-metadata</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/INSPIRE.xml?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/xml\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"INSPIRE metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">product-metadata</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/MTD_MSIL2A.xml?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/xml\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Product metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">datastrip-metadata</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://sentinel2l2a01.blob.core.windows.net/sentinel2-l2/16/T/DM/2026/06/23/S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE/DATASTRIP/DS_2CPS_20260623T214811_S20260623T164318/MTD_DS.xml?st=2026-07-07T18%3A11%3A57Z&se=2026-07-08T18%3A56%3A57Z&sp=rl&sv=2025-07-05&sr=c&skoid=9c8ff44a-6a2c-4dfb-b298-1c9212f64d9a&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2026-07-08T16%3A07%3A35Z&ske=2026-07-15T16%3A07%3A35Z&sks=b&skv=2025-07-05&sig=SKSdVfNg6hL739tyMunijNtEzOvCXI6mIYPe0kEOGp8%3D\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/xml\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Datastrip metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"metadata\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">tilejson</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://planetarycomputer.microsoft.com/api/data/v1/item/tilejson.json?collection=sentinel-2-l2a&item=S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811&assets=visual&asset_bidx=visual%7C1%2C2%2C3&nodata=0&format=png\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"application/json\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"TileJSON with default rendering\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"tiles\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li><details>\n",
       "            <summary class=\"pystac-summary\"><span class=\"pystac-k\">rendered_preview</span></summary>\n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">href</span>\n",
       "            <span class=\"pystac-v\">\"https://planetarycomputer.microsoft.com/api/data/v1/item/preview.png?collection=sentinel-2-l2a&item=S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811&assets=visual&asset_bidx=visual%7C1%2C2%2C3&nodata=0&format=png\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">type</span>\n",
       "            <span class=\"pystac-v\">\"image/png\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">title</span>\n",
       "            <span class=\"pystac-v\">\"Rendered preview\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">rel</span>\n",
       "            <span class=\"pystac-v\">\"preview\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "            \n",
       "                <li><details>\n",
       "        <summary class=\"pystac-summary\"><span class=\"pystac-k\">roles</span><span class=\"pystac-l\">[] 1 items</span></summary>\n",
       "        \n",
       "            <ul style=\"margin: 0px; padding: 0px 0px 0px 1.75em; list-style: none; display: block;\">\n",
       "        \n",
       "            \n",
       "                \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">0</span>\n",
       "            <span class=\"pystac-v\">\"overview\"</span>\n",
       "        </li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        \n",
       "    </details></li>\n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "            \n",
       "        \n",
       "    </ul>\n",
       "        </details></li>\n",
       "    \n",
       "                \n",
       "            \n",
       "                \n",
       "                    \n",
       "        <li class=\"pystac-row\">\n",
       "            <span class=\"pystac-k\">collection</span>\n",
       "            <span class=\"pystac-v\">\"sentinel-2-l2a\"</span>\n",
       "        </li>\n",
       "    \n",
       "                \n",
       "            \n",
       "        </ul>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Item id=S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "search = stac_client.search(\n",
    "    collections=[\"sentinel-2-l2a\"],\n",
    "    ids=[tile_id],\n",
    ")\n",
    "items = list(search.items())\n",
    "if not items:\n",
    "    raise ValueError(f\"No Sentinel-2 L2A items found for '{tile_id}'\")\n",
    "\n",
    "item = items[0]\n",
    "item"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "322d0530",
   "metadata": {},
   "source": [
    "### 3. Fetch and Stack the Target Tile\n",
    "\n",
    "Derive the tile's EPSG code from the STAC metadata, then build a `stackstac` raster for the bands the model expects. Run this cell to fetch the single-scene cube at 10 m resolution with 2,048×2,048 chunks. Any missing metadata raises an error so you can choose another tile.\n",
    "\n",
    "We fetch SCL alongside the four spectral bands here. Training data was cloud-masked, so inference must be too - scoring unmasked pixels would feed the model cloud tops and shadows it never saw during training, and it would confidently label them as something."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a66599f",
   "metadata": {},
   "outputs": [
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       "    gsd                                      (band) float64 40B 10.0 ... 20.0\n",
       "    title                                    (band) &lt;U29 580B &#x27;Band 2 - Blue ...\n",
       "    common_name                              (band) object 40B &#x27;blue&#x27; ... None\n",
       "    center_wavelength                        (band) object 40B 0.49 ... None\n",
       "    full_width_half_max                      (band) object 40B 0.098 ... None\n",
       "    epsg                                     int64 8B 32616\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32616, bounds=(398400, 4589550, 509920, 4700...\n",
       "    crs:         epsg:32616\n",
       "    transform:   | 10.00, 0.00, 398400.00|\\n| 0.00,-10.00, 4700750.00|\\n| 0.0...\n",
       "    resolution:  10</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;stackstac-1ff43b0298c5e2a1def6be96e51a8443&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 5</li><li><span class='xr-has-index'>y</span>: 11120</li><li><span class='xr-has-index'>x</span>: 11152</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-eebac047-e05c-4512-8810-e55d21578414' class='xr-array-in' type='checkbox' checked><label for='section-eebac047-e05c-4512-8810-e55d21578414' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.31 GiB </td>\n",
       "                        <td> 16.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5, 11120, 11152) </td>\n",
       "                        <td> (1, 2048, 2048) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 180 chunks in 5 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "\n",
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       "  <text x=\"7.474299\" y=\"147.129966\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.129966)\">5</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-fc05d000-7cde-4ba6-8fda-6d544bf9dbf9' class='xr-section-summary-in' type='checkbox'  ><label for='section-fc05d000-7cde-4ba6-8fda-6d544bf9dbf9' class='xr-section-summary' >Coordinates: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; &#x27;B08&#x27; &#x27;SCL&#x27;</div><input id='attrs-25e03f41-70ee-4921-9d99-64447fb63b43' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25e03f41-70ee-4921-9d99-64447fb63b43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4bc4f9a-c4ec-4085-a4ce-19713cc12d27' class='xr-var-data-in' type='checkbox'><label for='data-a4bc4f9a-c4ec-4085-a4ce-19713cc12d27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;B02&#x27;, &#x27;B03&#x27;, &#x27;B04&#x27;, &#x27;B08&#x27;, &#x27;SCL&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.701e+06 4.701e+06 ... 4.59e+06</div><input id='attrs-17210bba-5ba8-4f97-a9bd-a739cdc8794c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17210bba-5ba8-4f97-a9bd-a739cdc8794c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82b6864f-e659-446f-a75b-deb0ed03d47c' class='xr-var-data-in' type='checkbox'><label for='data-82b6864f-e659-446f-a75b-deb0ed03d47c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4700750., 4700740., 4700730., ..., 4589580., 4589570., 4589560.],\n",
       "      shape=(11120,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.984e+05 3.984e+05 ... 5.099e+05</div><input id='attrs-e114931f-8061-406f-b444-e6a5f1f49169' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e114931f-8061-406f-b444-e6a5f1f49169' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99e777ce-7261-437e-9ada-018997e60c0c' class='xr-var-data-in' type='checkbox'><label for='data-99e777ce-7261-437e-9ada-018997e60c0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([398400., 398410., 398420., ..., 509890., 509900., 509910.],\n",
       "      shape=(11152,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2026-06-23T16:38:41.025000</div><input id='attrs-2cd9b6a3-e65a-4171-915f-c1767d88fd55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2cd9b6a3-e65a-4171-915f-c1767d88fd55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69908447-14f0-4785-8c91-9a09018fab26' class='xr-var-data-in' type='checkbox'><label for='data-69908447-14f0-4785-8c91-9a09018fab26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2026-06-23T16:38:41.025000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U54</div><div class='xr-var-preview xr-preview'>&#x27;S2C_MSIL2A_20260623T163841_R126...</div><input id='attrs-5fdeeb31-b8d9-42e1-802d-deee07987735' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5fdeeb31-b8d9-42e1-802d-deee07987735' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95ebff2c-9054-422f-a4e3-c9c4c55f51d0' class='xr-var-data-in' type='checkbox'><label for='data-95ebff2c-9054-422f-a4e3-c9c4c55f51d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811&#x27;,\n",
       "      dtype=&#x27;&lt;U54&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:cloud_shadow_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0142</div><input id='attrs-ce5cb03a-23f3-4935-9e6c-92855829e6e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce5cb03a-23f3-4935-9e6c-92855829e6e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3ef5b98-e8d8-42ba-a99b-bf3990cc6296' class='xr-var-data-in' type='checkbox'><label for='data-a3ef5b98-e8d8-42ba-a99b-bf3990cc6296' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.014204)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:unclassified_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2346</div><input id='attrs-f6c39c65-fb10-473d-a6b2-c6edfb4888f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f6c39c65-fb10-473d-a6b2-c6edfb4888f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84d7b099-348b-407e-8d33-ea7fda4713a6' class='xr-var-data-in' type='checkbox'><label for='data-84d7b099-348b-407e-8d33-ea7fda4713a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.234604)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:degraded_msi_data_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0145</div><input id='attrs-5008c5cd-192e-46b5-96e5-e53fe7d6a80b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5008c5cd-192e-46b5-96e5-e53fe7d6a80b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3461c825-715c-4ef2-89c4-6dc3572eeab5' class='xr-var-data-in' type='checkbox'><label for='data-3461c825-715c-4ef2-89c4-6dc3572eeab5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.0145)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:medium_proba_clouds_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8723</div><input id='attrs-1c604b1f-9142-402f-87bd-1bf5f0f479f8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c604b1f-9142-402f-87bd-1bf5f0f479f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d24dd73-2232-4e11-8de3-0272eec22fed' class='xr-var-data-in' type='checkbox'><label for='data-9d24dd73-2232-4e11-8de3-0272eec22fed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.87226)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mean_solar_zenith</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>22.42</div><input id='attrs-8d172d1c-213a-46c6-9ce4-0e38c8478128' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d172d1c-213a-46c6-9ce4-0e38c8478128' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b74a415-c0da-4fca-8691-69fb2d32b341' class='xr-var-data-in' type='checkbox'><label for='data-2b74a415-c0da-4fca-8691-69fb2d32b341' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(22.41675852)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:product_uri</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U65</div><div class='xr-var-preview xr-preview'>&#x27;S2C_MSIL2A_20260623T163841_N051...</div><input id='attrs-ea3dee29-a1f1-4dda-bf83-8093cd4db6fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea3dee29-a1f1-4dda-bf83-8093cd4db6fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53227c8d-c796-45ab-9aea-7162298fd0f1' class='xr-var-data-in' type='checkbox'><label for='data-53227c8d-c796-45ab-9aea-7162298fd0f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2C_MSIL2A_20260623T163841_N0512_R126_T16TDM_20260623T214811.SAFE&#x27;,\n",
       "      dtype=&#x27;&lt;U65&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat:orbit_state</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;descending&#x27;</div><input id='attrs-1ebda96c-0258-423d-8f98-f1b4be894892' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ebda96c-0258-423d-8f98-f1b4be894892' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5856d778-a649-4a99-95a5-10f32a5aa21a' class='xr-var-data-in' type='checkbox'><label for='data-5856d778-a649-4a99-95a5-10f32a5aa21a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;descending&#x27;, dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat:relative_orbit</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>126</div><input id='attrs-3333497a-d057-41e3-acb1-f21d04b1ecc1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3333497a-d057-41e3-acb1-f21d04b1ecc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5b478a8-bb3a-4a38-8d3b-d2497e5a8402' class='xr-var-data-in' type='checkbox'><label for='data-a5b478a8-bb3a-4a38-8d3b-d2497e5a8402' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(126)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:granule_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U62</div><div class='xr-var-preview xr-preview'>&#x27;S2C_OPER_MSI_L2A_TL_2CPS_202606...</div><input id='attrs-d8f29f76-52b0-4505-9fe7-148215034b07' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8f29f76-52b0-4505-9fe7-148215034b07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58c886ae-334d-412d-820e-1aa9fdb9ab2b' class='xr-var-data-in' type='checkbox'><label for='data-58c886ae-334d-412d-820e-1aa9fdb9ab2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2C_OPER_MSI_L2A_TL_2CPS_20260623T214811_A009391_T16TDM_N05.12&#x27;,\n",
       "      dtype=&#x27;&lt;U62&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datatake_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U34</div><div class='xr-var-preview xr-preview'>&#x27;GS2C_20260623T163841_009391_N05...</div><input id='attrs-9545ae21-e02b-4458-8cd5-0dba4351df9f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9545ae21-e02b-4458-8cd5-0dba4351df9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66320053-ef54-46e5-b0ec-c7136689d1f5' class='xr-var-data-in' type='checkbox'><label for='data-66320053-ef54-46e5-b0ec-c7136689d1f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;GS2C_20260623T163841_009391_N05.12&#x27;, dtype=&#x27;&lt;U34&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:snow_ice_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-b82b2ea8-4bbe-4912-9fbb-5debbc35ee58' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b82b2ea8-4bbe-4912-9fbb-5debbc35ee58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46d48ec8-e8fe-42db-952e-f239480a1b84' class='xr-var-data-in' type='checkbox'><label for='data-46d48ec8-e8fe-42db-952e-f239480a1b84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:nodata_pixel_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-d146dd12-88ac-47db-be36-11e0162ac60b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d146dd12-88ac-47db-be36-11e0162ac60b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1aed11dd-dae1-4931-97a8-64a9a0bc4508' class='xr-var-data-in' type='checkbox'><label for='data-1aed11dd-dae1-4931-97a8-64a9a0bc4508' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Sentinel-2C&#x27;</div><input id='attrs-9b2747ca-2da2-4048-9edb-8db0625f666e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b2747ca-2da2-4048-9edb-8db0625f666e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd315f1f-39f4-4886-9cae-9e690220ae23' class='xr-var-data-in' type='checkbox'><label for='data-cd315f1f-39f4-4886-9cae-9e690220ae23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;Sentinel-2C&#x27;, dtype=&#x27;&lt;U11&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:thin_cirrus_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.292</div><input id='attrs-6970abff-9062-48ed-8620-bff4a3302b3a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6970abff-9062-48ed-8620-bff4a3302b3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9cd66be-d58d-4c17-8219-d103ecf22e23' class='xr-var-data-in' type='checkbox'><label for='data-c9cd66be-d58d-4c17-8219-d103ecf22e23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(3.291811)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datatake_type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;INS-NOBS&#x27;</div><input id='attrs-25446797-3416-4b30-a447-eb0bf42e2f72' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25446797-3416-4b30-a447-eb0bf42e2f72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9e47ebf-f9bf-4e4e-9d66-6a38d92fa093' class='xr-var-data-in' type='checkbox'><label for='data-b9e47ebf-f9bf-4e4e-9d66-6a38d92fa093' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;INS-NOBS&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:not_vegetated_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.49</div><input id='attrs-2db7b490-5cd0-4fba-a8bd-c4f9f3e1f28a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2db7b490-5cd0-4fba-a8bd-c4f9f3e1f28a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8122b1d3-1d87-43a3-9f52-80cc6e07a52f' class='xr-var-data-in' type='checkbox'><label for='data-8122b1d3-1d87-43a3-9f52-80cc6e07a52f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(14.494739)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:reflectance_conversion_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9685</div><input id='attrs-e9ead4c4-97b3-4d09-9f2a-8f9c2f61a102' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9ead4c4-97b3-4d09-9f2a-8f9c2f61a102' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-667934aa-de72-4667-9dfa-dd7e993cb3b4' class='xr-var-data-in' type='checkbox'><label for='data-667934aa-de72-4667-9dfa-dd7e993cb3b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.96846814)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:vegetation_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.07</div><input id='attrs-f7dafcad-bf62-41e5-869b-781e743a0498' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f7dafcad-bf62-41e5-869b-781e743a0498' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d334ca59-1a2b-462a-b789-5e5332a944db' class='xr-var-data-in' type='checkbox'><label for='data-d334ca59-1a2b-462a-b789-5e5332a944db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32.071263)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:processing_baseline</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;05.12&#x27;</div><input id='attrs-8f74577d-ff45-40e8-a80f-d807593ad5a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8f74577d-ff45-40e8-a80f-d807593ad5a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9ed94d1-ae19-4fc7-80fb-929b51918be9' class='xr-var-data-in' type='checkbox'><label for='data-f9ed94d1-ae19-4fc7-80fb-929b51918be9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;05.12&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>constellation</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;Sentinel 2&#x27;</div><input id='attrs-e6cd250d-6b6e-4646-80c6-475e52e19313' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6cd250d-6b6e-4646-80c6-475e52e19313' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4e77439-8c47-416f-8c1f-995f0b1ecef8' class='xr-var-data-in' type='checkbox'><label for='data-e4e77439-8c47-416f-8c1f-995f0b1ecef8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;Sentinel 2&#x27;, dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:product_type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;S2MSI2A&#x27;</div><input id='attrs-40b8a637-cf6b-43f1-8b40-c4118d6051d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40b8a637-cf6b-43f1-8b40-c4118d6051d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea76ee6e-1fb3-4aa8-82e1-40967420a2d1' class='xr-var-data-in' type='checkbox'><label for='data-ea76ee6e-1fb3-4aa8-82e1-40967420a2d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2MSI2A&#x27;, dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mean_solar_azimuth</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>141.1</div><input id='attrs-16a692cb-5481-4700-b99e-7974fa3fb041' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16a692cb-5481-4700-b99e-7974fa3fb041' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d064a1e8-0517-4ae8-9523-2d695748d5b0' class='xr-var-data-in' type='checkbox'><label for='data-d064a1e8-0517-4ae8-9523-2d695748d5b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(141.07727798)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:code</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;EPSG:32616&#x27;</div><input id='attrs-82e4cd65-0b09-4b95-8ce8-e623386e8021' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82e4cd65-0b09-4b95-8ce8-e623386e8021' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f485f4e0-02bf-486a-93bb-67ec230c9fc2' class='xr-var-data-in' type='checkbox'><label for='data-f485f4e0-02bf-486a-93bb-67ec230c9fc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;EPSG:32616&#x27;, dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instruments</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;msi&#x27;</div><input id='attrs-0f2fdb46-7c4c-4698-9f2b-70835f28951c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f2fdb46-7c4c-4698-9f2b-70835f28951c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f45cb316-2d64-4e2a-a87e-399f4e9b1b86' class='xr-var-data-in' type='checkbox'><label for='data-f45cb316-2d64-4e2a-a87e-399f4e9b1b86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;msi&#x27;, dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mgrs_tile</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;16TDM&#x27;</div><input id='attrs-0a5537cc-55a8-4939-9de6-0ccb763bad60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0a5537cc-55a8-4939-9de6-0ccb763bad60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef969a40-b4df-4bbd-9f7f-cd948d74addf' class='xr-var-data-in' type='checkbox'><label for='data-ef969a40-b4df-4bbd-9f7f-cd948d74addf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;16TDM&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datastrip_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U64</div><div class='xr-var-preview xr-preview'>&#x27;S2C_OPER_MSI_L2A_DS_2CPS_202606...</div><input id='attrs-d29db1ab-6b17-4dea-9909-9b8c4ffc3128' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d29db1ab-6b17-4dea-9909-9b8c4ffc3128' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ac8b06e-d39c-41bc-86b1-509db20dd20a' class='xr-var-data-in' type='checkbox'><label for='data-0ac8b06e-d39c-41bc-86b1-509db20dd20a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2C_OPER_MSI_L2A_DS_2CPS_20260623T214811_S20260623T164318_N05.12&#x27;,\n",
       "      dtype=&#x27;&lt;U64&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:high_proba_clouds_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1519</div><input id='attrs-5d0c9b9b-f006-487f-8e8e-18307f168087' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d0c9b9b-f006-487f-8e8e-18307f168087' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f82dceef-c74d-4a94-bb14-65263e1df13f' class='xr-var-data-in' type='checkbox'><label for='data-f82dceef-c74d-4a94-bb14-65263e1df13f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.151851)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eo:cloud_cover</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.316</div><input id='attrs-87fdbe98-a28b-476f-834f-7acfc9c992ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87fdbe98-a28b-476f-834f-7acfc9c992ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff6c7533-b20d-48a4-bfa8-cfb27950a5f7' class='xr-var-data-in' type='checkbox'><label for='data-ff6c7533-b20d-48a4-bfa8-cfb27950a5f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(4.315921)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:saturated_defective_pixel_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-573152a3-6dc4-4202-b69a-a59a12c0ed3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-573152a3-6dc4-4202-b69a-a59a12c0ed3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-058eeed1-d9f4-4b96-811b-151d44ffea95' class='xr-var-data-in' type='checkbox'><label for='data-058eeed1-d9f4-4b96-811b-151d44ffea95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:generation_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U27</div><div class='xr-var-preview xr-preview'>&#x27;2026-06-23T21:48:11.000000Z&#x27;</div><input id='attrs-bfbf759a-ab78-4258-a643-dc6921819ed3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bfbf759a-ab78-4258-a643-dc6921819ed3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31cc50a1-5aac-4a42-aa9e-59d940622ed7' class='xr-var-data-in' type='checkbox'><label for='data-31cc50a1-5aac-4a42-aa9e-59d940622ed7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2026-06-23T21:48:11.000000Z&#x27;, dtype=&#x27;&lt;U27&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:water_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.78</div><input id='attrs-06037b1f-e65f-42cb-ab91-a483c7432a23' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06037b1f-e65f-42cb-ab91-a483c7432a23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43b9fd87-2fa9-4b1e-bdbe-52f6a3dec7ea' class='xr-var-data-in' type='checkbox'><label for='data-43b9fd87-2fa9-4b1e-bdbe-52f6a3dec7ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(48.776373)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:bbox</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{399960.0, 509760.0, 4700040.0, ...</div><input id='attrs-0c8ac292-b280-4646-a025-41fe3cdd9966' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c8ac292-b280-4646-a025-41fe3cdd9966' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dae27473-9e87-4ab2-a665-ada1bbf155eb' class='xr-var-data-in' type='checkbox'><label for='data-dae27473-9e87-4ab2-a665-ada1bbf155eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({399960.0, 509760.0, 4700040.0, 4590240.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 10.0 10.0 10.0 20.0</div><input id='attrs-ce2570bb-a817-4ac3-b90e-9f644a580196' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce2570bb-a817-4ac3-b90e-9f644a580196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afb9b497-b299-4f97-84a9-f8a068f51589' class='xr-var-data-in' type='checkbox'><label for='data-afb9b497-b299-4f97-84a9-f8a068f51589' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([10., 10., 10., 10., 20.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>title</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U29</div><div class='xr-var-preview xr-preview'>&#x27;Band 2 - Blue - 10m&#x27; ... &#x27;Scene...</div><input id='attrs-a4833571-a673-468c-a46a-9ac49ac8e8fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4833571-a673-468c-a46a-9ac49ac8e8fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d98201b1-3f96-44e8-ac04-8a7fdb4e0e62' class='xr-var-data-in' type='checkbox'><label for='data-d98201b1-3f96-44e8-ac04-8a7fdb4e0e62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Band 2 - Blue - 10m&#x27;, &#x27;Band 3 - Green - 10m&#x27;,\n",
       "       &#x27;Band 4 - Red - 10m&#x27;, &#x27;Band 8 - NIR - 10m&#x27;,\n",
       "       &#x27;Scene classfication map (SCL)&#x27;], dtype=&#x27;&lt;U29&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>common_name</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;blue&#x27; &#x27;green&#x27; &#x27;red&#x27; &#x27;nir&#x27; None</div><input id='attrs-5209f048-ac01-4f86-af04-817805d10672' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5209f048-ac01-4f86-af04-817805d10672' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef87a91e-06d1-4bb0-bf3a-6c4efddd7c77' class='xr-var-data-in' type='checkbox'><label for='data-ef87a91e-06d1-4bb0-bf3a-6c4efddd7c77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;blue&#x27;, &#x27;green&#x27;, &#x27;red&#x27;, &#x27;nir&#x27;, None], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>center_wavelength</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0.49 0.56 0.665 0.842 None</div><input id='attrs-13705745-7b9c-4c72-b288-6b167bbe4c76' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13705745-7b9c-4c72-b288-6b167bbe4c76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-486043cd-a1f5-4142-ac1f-044ebe0e9059' class='xr-var-data-in' type='checkbox'><label for='data-486043cd-a1f5-4142-ac1f-044ebe0e9059' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.49, 0.56, 0.665, 0.842, None], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>full_width_half_max</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0.098 0.045 0.038 0.145 None</div><input id='attrs-9d8cb5b2-dea6-48ce-b72c-308c8fa8e611' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d8cb5b2-dea6-48ce-b72c-308c8fa8e611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e6cd2cf-9e62-4efd-8a77-f0b6b7806a3a' class='xr-var-data-in' type='checkbox'><label for='data-5e6cd2cf-9e62-4efd-8a77-f0b6b7806a3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.098, 0.045, 0.038, 0.145, None], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32616</div><input id='attrs-0c768d22-712b-4cc9-b089-aac29c09caba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c768d22-712b-4cc9-b089-aac29c09caba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-917fa5eb-38b5-4502-8901-f6dc5705bf3c' class='xr-var-data-in' type='checkbox'><label for='data-917fa5eb-38b5-4502-8901-f6dc5705bf3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32616)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e2cd2bb-df63-4ecd-aa38-318471be0bd4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e2cd2bb-df63-4ecd-aa38-318471be0bd4' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=32616, bounds=(398400, 4589550, 509920, 4700750), resolutions_xy=(10, 10))</dd><dt><span>crs :</span></dt><dd>epsg:32616</dd><dt><span>transform :</span></dt><dd>| 10.00, 0.00, 398400.00|\n",
       "| 0.00,-10.00, 4700750.00|\n",
       "| 0.00, 0.00, 1.00|</dd><dt><span>resolution :</span></dt><dd>10</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'stackstac-1ff43b0298c5e2a1def6be96e51a8443' (band: 5,\n",
       "                                                                y: 11120,\n",
       "                                                                x: 11152)> Size: 2GB\n",
       "dask.array<astype, shape=(5, 11120, 11152), dtype=float32, chunksize=(1, 2048, 2048), chunktype=numpy.ndarray>\n",
       "Coordinates: (12/43)\n",
       "  * band                                     (band) <U3 60B 'B02' ... 'SCL'\n",
       "  * y                                        (y) float64 89kB 4.701e+06 ... 4...\n",
       "  * x                                        (x) float64 89kB 3.984e+05 ... 5...\n",
       "    time                                     datetime64[ns] 8B 2026-06-23T16:...\n",
       "    id                                       <U54 216B 'S2C_MSIL2A_20260623T1...\n",
       "    s2:cloud_shadow_percentage               float64 8B 0.0142\n",
       "    ...                                       ...\n",
       "    gsd                                      (band) float64 40B 10.0 ... 20.0\n",
       "    title                                    (band) <U29 580B 'Band 2 - Blue ...\n",
       "    common_name                              (band) object 40B 'blue' ... None\n",
       "    center_wavelength                        (band) object 40B 0.49 ... None\n",
       "    full_width_half_max                      (band) object 40B 0.098 ... None\n",
       "    epsg                                     int64 8B 32616\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32616, bounds=(398400, 4589550, 509920, 4700...\n",
       "    crs:         epsg:32616\n",
       "    transform:   | 10.00, 0.00, 398400.00|\\n| 0.00,-10.00, 4700750.00|\\n| 0.0...\n",
       "    resolution:  10"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "epsg_code = item.properties.get(\"proj:epsg\")\n",
    "if epsg_code is None:\n",
    "    proj_code = item.properties.get(\"proj:code\")\n",
    "    if proj_code:\n",
    "        epsg_code = int(proj_code.split(\":\")[-1])\n",
    "    else:\n",
    "        raise ValueError(\"No proj:epsg/proj:code in item\")\n",
    "\n",
    "# Fetch SCL alongside the spectral bands so we can mask clouds/shadows at\n",
    "# inference time exactly as we did in training.\n",
    "INFER_ASSETS = BANDS + [\"SCL\"]\n",
    "stack = (\n",
    "    stackstac.stack(\n",
    "        [item],\n",
    "        assets=INFER_ASSETS,\n",
    "        resolution=10,\n",
    "        epsg=epsg_code,\n",
    "        fill_value=np.nan,\n",
    "        chunksize=(1, 1, 2048, 2048),\n",
    "        rescale=False,\n",
    "        resampling=rasterio.enums.Resampling.nearest,  # keep SCL codes intact\n",
    "    )\n",
    "    .squeeze(\"time\")\n",
    "    .assign_coords(band=INFER_ASSETS)\n",
    "    .astype(\"float32\")\n",
    ")\n",
    "\n",
    "stack"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ea27917",
   "metadata": {},
   "source": [
    "### 4. Inspect the Tile with a Quick True-Color Preview\n",
    "\n",
    "Render a stretched RGB composite so you can sanity-check the tile before running inference. Execute this cell to pull the red, green, and blue bands, normalized to a 99th-percentile stretch, and display a true-color image for the tile corresponding to the `tile_id`. Use the preview to confirm the scene is cloud-free and matches the area you expect. If not, pick a different Sentinel-2 tile ID before proceeding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67d9c767",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "red_np = stack.sel(band=\"B04\").data.compute().astype(np.float32)\n",
    "green_np = stack.sel(band=\"B03\").data.compute().astype(np.float32)\n",
    "blue_np = stack.sel(band=\"B02\").data.compute().astype(np.float32)\n",
    "\n",
    "rgb_np = np.stack([red_np, green_np, blue_np], axis=0)\n",
    "stretch = np.nanpercentile(rgb_np, 99)\n",
    "rgb_np = np.clip(rgb_np / stretch, 0, 1)\n",
    "rgb_img = np.moveaxis(rgb_np, 0, -1)\n",
    "\n",
    "plt.figure(figsize=(6, 6))\n",
    "plt.imshow(rgb_img)\n",
    "plt.title(f\"Sentinel-2 True Color for {tile_id}\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4160bf6",
   "metadata": {},
   "source": [
    "### 5. Engineer Features on the GPU and Run Inference\n",
    "\n",
    "Compute the same band stack, NDVI, and NDWI features the model saw during training, apply the clear-sky mask, and flatten the result to per-pixel rows before prediction. Run these cells to convert the Sentinel tile into a cuDF table, call `rf.predict`, and inspect the label counts.\n",
    "\n",
    "The band values are pulled in a single `.compute()` rather than one call per band, which avoids re-reading the same chunks from the remote store four times over."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40a298a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clear-sky mask from SCL (same classes used in training).\n",
    "scl = cp.asarray(stack.sel(band=\"SCL\").data.compute())\n",
    "clear = cp.isin(scl, cp.asarray([4, 5, 6, 11]))\n",
    "\n",
    "# One compute pulls all four spectral bands together instead of four round-trips.\n",
    "bands_arr = cp.asarray(stack.sel(band=BANDS).data.compute())  # (4, y, x)\n",
    "b02, b03, b04, b08 = bands_arr\n",
    "\n",
    "ndvi = (b08 - b04) / (b08 + b04)\n",
    "ndwi = (b03 - b08) / (b03 + b08)\n",
    "\n",
    "y_coords = stack.y.values\n",
    "x_coords = stack.x.values\n",
    "\n",
    "feature_stack = cp.stack([b02, b03, b04, b08, ndvi, ndwi], axis=0)\n",
    "flat = feature_stack.reshape(len(ALL_FEATURES), -1).T\n",
    "mask = cp.isfinite(flat).all(axis=1) & clear.reshape(-1)\n",
    "\n",
    "flat_valid = flat[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd684582",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0             7\n",
       "1            11\n",
       "2            11\n",
       "3            11\n",
       "4            11\n",
       "             ..\n",
       "114945147     7\n",
       "114945148     7\n",
       "114945149     7\n",
       "114945150     7\n",
       "114945151     7\n",
       "Length: 114945152, dtype: int32"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_df = cudf.DataFrame(flat_valid, columns=ALL_FEATURES)\n",
    "preds = rf.predict(features_df)\n",
    "preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc5b544b",
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       "1     59061516\n",
       "7     24168699\n",
       "2     15236069\n",
       "11    11933657\n",
       "8      1831939\n",
       "4      1567424\n",
       "5      1145848\n",
       "Name: count, dtype: int64"
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     "execution_count": null,
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   "source": [
    "preds.value_counts()"
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    "### 6. Reshape Predictions Back to the Tile Grid\n",
    "\n",
    "Restore the flat predictions to their native image layout so you can visualize and export them. This cell fills a nodata-initialized array, drops the predictions into the valid-pixel slots, reshapes everything to the tile’s `y×x` grid, and wraps the result in an `xarray.DataArray` with coordinates and metadata (tile ID, model name, acquisition datetime). Upon running it, the returned `pred_da` matches the raster geometry needed for plotting and COG creation."
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   "id": "a6a20459",
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       "    tile_id:   S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811\n",
       "    model:     lulc_rf_2022.pkl\n",
       "    datetime:  2026-06-23T16:38:41.025000Z</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;worldcover_prediction&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 11120</li><li><span class='xr-has-index'>x</span>: 11152</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b15266b1-6931-47a5-8cbc-d1b4bb00d3b3' class='xr-array-in' type='checkbox' checked><label for='section-b15266b1-6931-47a5-8cbc-d1b4bb00d3b3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]],\n",
       "      shape=(11120, 11152), dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-0133a7b8-68fe-466c-b7cc-9731a2e520cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0133a7b8-68fe-466c-b7cc-9731a2e520cb' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.701e+06 4.701e+06 ... 4.59e+06</div><input id='attrs-91b856bd-5cdf-481d-a74e-4e401d5dda51' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91b856bd-5cdf-481d-a74e-4e401d5dda51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c3859fe-e130-413d-8a02-a5f982e3707a' class='xr-var-data-in' type='checkbox'><label for='data-9c3859fe-e130-413d-8a02-a5f982e3707a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4700750., 4700740., 4700730., ..., 4589580., 4589570., 4589560.],\n",
       "      shape=(11120,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.984e+05 3.984e+05 ... 5.099e+05</div><input id='attrs-89a4c6af-da6e-4fe8-81de-f9ac2bdce4b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89a4c6af-da6e-4fe8-81de-f9ac2bdce4b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea7d4c43-cb28-41de-bed2-bf7412eeff2e' class='xr-var-data-in' type='checkbox'><label for='data-ea7d4c43-cb28-41de-bed2-bf7412eeff2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([398400., 398410., 398420., ..., 509890., 509900., 509910.],\n",
       "      shape=(11152,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-73ffce34-e6c9-4fe0-8b33-f5ce30317a75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73ffce34-e6c9-4fe0-8b33-f5ce30317a75' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tile_id :</span></dt><dd>S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811</dd><dt><span>model :</span></dt><dd>lulc_rf_2022.pkl</dd><dt><span>datetime :</span></dt><dd>2026-06-23T16:38:41.025000Z</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'worldcover_prediction' (y: 11120, x: 11152)> Size: 496MB\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]],\n",
       "      shape=(11120, 11152), dtype=float32)\n",
       "Coordinates:\n",
       "  * y        (y) float64 89kB 4.701e+06 4.701e+06 ... 4.59e+06 4.59e+06\n",
       "  * x        (x) float64 89kB 3.984e+05 3.984e+05 ... 5.099e+05 5.099e+05\n",
       "Attributes:\n",
       "    tile_id:   S2C_MSIL2A_20260623T163841_R126_T16TDM_20260623T214811\n",
       "    model:     lulc_rf_2022.pkl\n",
       "    datetime:  2026-06-23T16:38:41.025000Z"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full = cp.full(mask.shape[0], NODATA_VALUE, dtype=cp.int8)\n",
    "full[mask] = preds.astype(cp.int8)\n",
    "\n",
    "h, w = len(y_coords), len(x_coords)\n",
    "grid = full.reshape(h, w)\n",
    "\n",
    "pred_da = xr.DataArray(\n",
    "    cp.asnumpy(grid),\n",
    "    coords={\"y\": y_coords, \"x\": x_coords},\n",
    "    dims=(\"y\", \"x\"),\n",
    "    name=\"worldcover_prediction\",\n",
    ").where(cp.asnumpy(mask.reshape(h, w)))\n",
    "\n",
    "pred_da.attrs.update(\n",
    "    {\n",
    "        \"tile_id\": item.id,\n",
    "        \"model\": MODEL_PATH.name,\n",
    "        \"datetime\": item.properties[\"datetime\"],\n",
    "    }\n",
    ")\n",
    "pred_da"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "462e0440",
   "metadata": {},
   "source": [
    "### 7. Compare the True-Color Tile with Model Predictions\n",
    "\n",
    "Plot the Sentinel-2 RGB composite alongside the inferred land-cover map to sanity-check the output. Run this cell to render both views with matching coordinates and a legend keyed to the WorldCover classes.\n",
    "\n",
    "Read the two panels together. Lake Michigan and the river corridors come through cleanly as water, the parks and the agricultural land west of the city separate from the urban core, and the built-up grid is recognisable as such. The boundaries between crops and rangeland on the western edge are the least convincing part of the map, consistent with the per-class scores in Stage 2. Areas masked out as cloud or shadow carry the nodata value and appear as gaps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eaba5395",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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f7pfx5Cc/WZK0NDQ0NDQ0NE4eHA9RNUX1DcdF/H00q+6JfkdzOaJ3uV5VHj9DB8Vzn/tc+Xd5fMIxGRVmVHGdCmj/peqNdkMqt2gNpfKq1yLJIv1lnOh4lqFjrE3Nz5edFbTQUsF0LFClxbAy7iOD7co4WlDb8cA25zi6bF3lWJvKKFp8aW8tg6VwyvvdO14+GjhepmKP6+4Ft02VWOFkKderpiKPijQqDYv3OP7kuvbv3y/2XbYdVZAFqNjiPKToT8c6b0drkxPphxzjEic6zi3WS5Vb73VAFONcjnmpuKPjpKw2/NznPifKx+Lcn+wcigo2nr/j4cH0s/J8o5gvsY/w/NH+SxT9nGre4rz2opgDUVV3tMBE1gWleo/lgMrHX1jsi+M/kXUVKOaCZ3JdUY0HD03yaWgcA5SY8wuIFtubb75ZChbzhk+JejFoIDnGLzB+GXFQVf6hdL03pIM1G3q/YHhD5jYeDHq/xIqbfLFeyrq5n5TE9+4na0EcK1CEtTo4cCl++OW5EPjlzfp0tJrQqnq6wJospwqeH4JfmL3HzUTc44WocKDCc34ioA2BYJ2MMjiYpBWieP9on+WAvHegVRRx7v3sg2kTDQ0NDQ2N/+3gOIClNVjuhGM91tw6WmmOE/2O5m8+5OtNtuwdF3AcxQeQrGvXOzYpSIxTDXmjtZAPOPlgl5bFffv24Rd/8RcfsFzvOOJEx7PFsXK5MmiLPFodtgIFkXa8MjgnA+5Pb/sea/x0vPHyqaBcl4/ntSiPQ5DsYx07ziNY14/EXrH80caNxf6TqCFJe7LjvxPth4Wd82TGuVwv68eVQVKORFS5rSk+YF09CiYIkqCsp8fXC5zsHIpCixMp2fNg+hnPHS3eJPLYPtyXQpxR1NvjOSDR+YlPfELs5CTm/9//+39H1OPjcbIP0IJMWzEtxiQ9yyQdj5/b6z32InW5OP4TWVeBglQ9VdJc49EBXZNPQ+MEwC8UEn784Y2XAzA+fSE5xhssb6R8isunvL3ofeK30DLEsepqnAiOt97ii4A1SPhltBB6v7QLsLA068yV6xX2BltwQMn6G3xq/NGPfhSnEwup+I725dVbGLc4btblK5LNyiin6i0EPl3jU1Yq9E62FuBDiVNVNmpoaGhoaGjkoHKPans+wKTy6HQ5EI6HYmxC8oBuhYVANdepgDWee8MhTmQccbLj2TMVpzoOZ60/knUkxHrJ3oK0Y221Iu2VNR8JkkAksfheESZxrMCMn+b4jyQWyWvWHz8ZnAiBRJUq24JkFIlO/iZByJqCp9rnHuqxLwlaOmXYLqx9R5KUoRpU1bJ+eplU+8AHPiAKTKrrKBqgapK1CVlzkIIO7ivVhFTjUeHIgDyKISg64PI8Xq6P1yvD/RZCUd/yRNZVoCCrT1dddI0zE5rk09A4SRR2Bz6JI/gFwIEBn+oUT14eLB6Kpy/F01U+aT2RwV8ZJO/KA5LeL1kW3eVTL7YNv8SPR5ydDhRPXvmFXB6U9z6xLZ5iMhH5ZI+7GKTwKSRtNbT8HgskPwmGbZSfZpMg5NPbY22fn6Xdt3fwWFgDinVraGhoaGhonB5w7MIACU7MOWl+sN/R/M2JO1VLZdUUxwVlFImnfDB5KmOThwInOp4tjpUqpMJWSMRxLGOdiy+++KifLcZGxyOVTmYczP3pbd+HYvzEh74Ej7GXgOUYsyDyGLjBcirlsSlJLqr8mG5LQqYgAMvjxoX2n0QN13eyONF+SDDQgYpSjnWL/TreennuC6VkEX7C8Xi5rbnfXDdFESSxeH3R9kpSscBDMYc6mX7WCyYw05ZNZS+DPwoUydS9IEHHH7qYGMxCtR2FDu9+97vlfZKaTG/mD9uAJY2Y7kuyjtc9j58lofj+8fr88dZV3lcuezrbU+PMg7bramgcBbxpLvRUr6hHUXxpMgWMX9hUuvUuz7/5ZXGyKL7Q+YV5usABCGPV//Zv//YwQVnG0Sy4xZclv0CKn8KCQFBOT/UeU6tYz+anpTAryDs+2SpQ1J0pg6pFPpHjlyEHoCdz3EXtkyVLlki9ESZd9YJS+uLLnG1DtR9T+cp9gSl0lPAvlGpW4FnPepYM9j/84Q8f8ToTtvjFX6T/aWhoaGhoaJweUCn0N3/zN5Jqyod6D/Y7uvjdm877f//v/z3ib44bmbbKB4gLERHHG5s8FDjR8Swf6JKkJJnBh5jlVNLjjVv5OZInn/zkJ7Fr164HbONUxsE8N7TCFrbQYjxI4opj09NVv7ggwFiTcCHwYTidH1RW9SbV8m/u3w9+8AMhCAuimONLJjVz7Fo+VvYJrofHdio40X5IvO1tb5P2phWUZF0vSBT+9V//tfy72J/e9RRKtN5xLm2mtIvT1koyq2zVfajmUCfTz3pRKOLKy7CPf+QjH3lALUOqOssg2UdyjYm7RS30XvBcE8UyrEXIeugf//jHH7As64UWVu0TWVcBWqLPP//849bH1Hh0Qyv5NDSOAkais5gqn/Ly6R1v8nxKwydRHDQUNVNINpHkYb0+Wlhf8IIXyJc3n6QwSp6Ff2mRPRlwnXwCyAEU18UvXxbpfbB12FgvgoMQfhHRnkLyjl/oHHjw6SK/gE8GfKJNEo3S8N/93d99QLAEj+N4TwVPFddee63UVWH9P26bX8z8MucXe/kLnQQfB/CsR3PppZdKHYtiGe4vCcveQXuvYpDnkQMbfqHSWsN4eoLy/X/5l385fIxcL/sBByvPfOYzJbSFT005OKDVuxy40gtOLq6++mp5Ksd+xCfhHODRBsBCyb11VTQ0NDQ0NDQePI5mlz2V72iOE6j65/c+H+6R3Pn2t78tdZF7wYAyPlDm+I5jMpJRnMxzbEHV4EIT+4cSJzqepSOEy1EBSSUfiRsu86lPfeq4NfkK4oljUY7JuE6Obbk9jslIkhHFOIvtzXEbt8lzsJCq7fd///dlLEZii5ZJBliQNOM+kUQtB6E9GPDYWOON54aBDr3gMbENbrnlFrzxjW884j32A/YH/nB+Ucb73/9+2XeOJTmmJbnzoQ99SEgaks+ngpPphzzvrEvJ80h1Ht07PM5i3kMlHm2pBPs9rxcSqIW1lQQr25v9hddIGRw7sw+x3xTEdu+2T/cc6mT6WS/YThz38xjZl0jgs9xPLzHIepe/8Ru/IdZjKuZI+HG58jHS7kshAolPKhwpCuD5oJW3cEdxbkIHFAUFvBdwTsKHCVRx8nUGe5BUP5F1ERQzfP/738cb3vCGU2ozjUcRHu54Xw2NRyq+/vWvq9e85jXqnHPOUfV6Xbmuq9atW6fe9KY3qYMHDz5g+X//939XV111larVavLDz73xjW9UmzZtOiL+/fzzz3/AZ1/96lerVatWHfHal770JXXeeedJhDwvVca8L7QsY9/5/vvf//4HrJevv+Md7zjita1bt6pXvepVavHixcpxHLVs2TL1nOc8R/3bv/3b4WW++93vymf5+1gotn20H+7riYKx8L37W+zH0SLqf/KTn6jHP/7xcm5Wrlyp/vIv/1LaiZ/hvpXBdT3jGc9Q/f39yvd9tXbtWvVLv/RL6sc//vEJ7d++ffvUb/3Wb6kNGzbI56vVqrrsssvUe97zHjU7O3vEsh/+8Ifl/LN9x8bG1Otf/3o1PT193HPebDZlG0uXLpXPrl+/Xs5rlmVHLMfjY9/S0NDQ0NDQOHEUY4RbbrnlmMvx+/nZz372KX1Hd7td9eY3v1kNDw/LePC5z32u2r1794JjMo4n+X2+YsUKWSfHZk972tPUxz72sQeMtYpx4NFwvDFTAe4Dl+O4ayGcyHiW+MhHPqLWrFmjPM9Tl19+ubruuutknMuf4+373XffrV74wheqgYEBGVOdffbZ6u1vf/sRy7zrXe+SMappmkeM63hueseXHNu+5CUvOby+xz3uceorX/nKCbXPibYvwXEm5wSdTucB77F9ivHv/ffff8R77CPcN773uc997gGf/da3vqWe+MQnqkqlovr6+qTPbNy48YTPW/HeqfZDgvv8ute9Tq1evVrG1Y1GQ/bpQx/6kAqC4PBycRyrP/uzP5Nzzz7LvvsHf/AHRyxTxs///M/LNq+55hp1NDyYOdSxcLx+ttCc4frrr1dPeMIT5FzwWn/b296mvvGNbxwxL9q2bZvMETmX4HqHhobU1VdfLeexwLe//W31/Oc/X9bB9uTvV7ziFQ/oG1EUqfe+971ybLyWBgcHZX7BNi7mFye6Ls5duZ+bN28+qXbSePTB4P893ESjhoaGhoaGhoaGhoaGhsYjFVTFUdH3vve9T1R3GhqPJFAJSfUhVZAa/7uhST4NDQ0NDQ0NDQ0NDQ0NjePgve99r9hyN27ceNqswBoaDxaskc5yTLQi026t8b8bmuTT0NDQ0NDQ0NDQ0NDQ0NDQ0NA4w6EfP2hoaGhoaGhoaGhoaGhoaGhoaJzh0CSfhoaGhoaGhoaGhoaGhoaGhobGGQ5N8mloaGhoaGhoaGhoaGhoaGhoaJzh0CSfhoaGhoaGhoaGhoaGhoaGhobGGQ5N8mloaGhoaGhoaGhoaGhoaGhoaJzh0CSfhoaGhoaGhoaGhoaGhoaGhobGGQ5N8mloaGhoaGhoaGhoaGhoaGhoaJzh0CSfhoaGhoaGhoaGhoaGhoaGhobGGQ5N8mloaGhoaGhoaGhoaGhoaGhoaJzhsE/Xip7+oqfjyetXo5VF+MnmPQhmYlz1uDU4OBtg3apl+NHWHcjQgZ3ZcOIMmaGwqLIIu4Jx9FcrqIc2HnPWcnz1xo2AqWDbFoIohm0ZABQMw4SCCQMZXNPCF7/wNfziW34O6VyIqy67DM+6+vH41T95H5aOjSCYncPEVID6aBWPW38Bbtp6NzJTYcTxsXtqDssaQ3j1616JP//Ah2AaXGOGc4YWYTZK8elPvBc/95bfQy01sL8zhyG7itRSGD/YhG1ZuGz1Okwiwe7OLnjTBiKVIYlSDDXqGJ9todLv4vHnPRZDVQubt2yG5wN3HhzHU5atgOfaGJ/q4rb9+2FXTQTtBJZjYvFQHc84ewM+f+MdSA0TXTOCDQ9RGqLu+bCQoeY66AYJJmbaWDU2iJFqHbump6Ttlw71Y+1QP+YiBc8DvnzHRgx5NUxFLVSsCpIUuGD5GHZOT8FOgae+4Hn4/Oc+K8eTtRVQM2FkCnErgV2zAduAV7fQnYigoNAY8tE+FMIddlBxbDQiB90swVTUxUCtguV+Pw4mTbRUhDjN8JwNF2H35ATWjw3jSz+5GyN2HVecuwrXbbof090IfX0GWoYDL1JwLB+H5qbw4ff8Bd78x2/DBYtXY3trH+IkgZ1ZWDbQQHMuQgoLq0aHse685fjH//g2BkYqeOFjL0ZDnYN/v/srWLpoDFv27YQxl+LsRaOYarWwtTONCzaM4mcvvRJf/K/vYb+zCHEQwVQKaZbCTJWc/zTNYBkKGSxApUACwMqQxiYs9j++xl6YKlimhSwDLMMAjBSZUkCWwjJNZJkJwwSUSpDGGSzLhmEoWUcCB4ZKoeRIFLLUgGGbUKYBpIBpGYgyBTtNkcGGacYwTYebAOwYKrGRqQyGxesAMFTGDcl1wRcUDFhmJscTZ8ivGxNI4gSmaQIZexGRwnRNqCiFyQVMB1AJuHjm2MjCEFzQ8ByoNJOnAJnisebHnKRsp/yYTZP7aSI1Uqg4g8G2ME25dlOug/9xBbLDCUzDgoEUqWJbAUmWcdOw5C6koAwLcnRq/u8kgeW6su0kyWDZFlSaQCkF07aRpQkMg+eM+8d1KSiTdwkTGc+p5yCJQlh2BUAsba0iHkcC5fC1BFmcwfEcZDHfd2GkoZxHi6tVPN+m9BXDryGLukCWyP0nYRtXK4jiWNrYcQxkiQULKZSRH0NquHDsDFZqSH9WLt+3YCQhMh6UbcDkSeHus0/CgO3aSOJUzgH315I2VVBpCsP2kSYxkCq4FVP6srIqgMX7YgzFPibr5qoVkvnzJm2UJrBlv004roEsTZHChlIxHFsOlq2GBAZM04KZBNK3MtNFxsNJ0/wakc+ZsDwXlkrB3WE7m2mINOOyMQzHB3t8EgeoeBWkmQHbsBBzi8qESmIkrgc7TWBaESyzijDh2YhRcS1E3RS+r6Q9eS0pF0BkwrQNpEEC0zWQZh5sqwOVmIiVAcc2oKo2MBsAFRdp7MG1gZDHpTpw2XezCiyT59BBolJYtg3LNaSfZ8qBmQXI5vuk6xqIEg82rynbQZZ2kTkOECRyPMpK4cg9gedJwfFcOR9s2yhzYFu8Ni1kvF6DEI7cA2xEEY8tP7/8MV0bQZjAsiw4aYoQDrLMQMXN5LsAnRaU3wcr60C5VagoQBrzPmLCdh0oi9ePK/0ccQJlV+TeYKYBLKeKmAcj9yoFy+C1xHPG7xdetzZsO0UaK1ger/0EZpoisWvS7q6bIuL1yT6oAK9iIQ1jZMqGYbG3moCVsqMjQYVnHAhCGKYHoIs4imHVPCBRsi9BksLKEqTKgcfvnFYLieVIH+W1Z4YRDI/XdhVJyrWHSNsBHNNAYvqomQmapoMKAiSZBdsGPvnJvztdQxgNjVPClX/yLHx+yQR2fHAffvelF+FH7/warj93OVZ987PyvvGV35bf6jl/iZd9/M/xr6/7Q+y89ufk/b/5ZwvP+oeXyvtvf+sPj7utYNcb8P7P33l43VwPwe1eXX07vtt5F/yVH8E/PmOPvLf6zUtluwS3zc8WyxcoXiPK+1z+XLHc1179ebz+59PDrxWvc33FcZXB9RXHT7x0/4gsV3y++EyxP/y7jKK9epcvg8fIti+Oq7x8ef/Kx14sU2yvvP7ev/lvnl+2R7GvxXLFeSzarNiP4tiLc1D0jYWOrzify1dchT27f/iAc1VGbzsX2+Dv3vNb/vyJ9C0NDQ2NMwHv+sBVj8h72rt+ivv1ndeuPqHlDMWZ7GnAi37lObhqxSpYpoGhRgXf2bod54yMYM+BOdy7fxz2oCOD9bAVwXRMxBzQw4HVsOBMpogdA5bvIJuJZNJEgoBEgWUJFZFrDjPkE+6Kgz7TwowVwTAMXDK4FPtmZmAucjDUdXH3vv1CXJ2zagkmZpoY7PMxN2HCtRVaFid5XGGG1DbQqPVjjWXix/sPYPnoIrzkiU/EZ//jW5i0ugg7MSpDLjoqgZMZSLrAqpGz0G8luH1iBxbVapib6KLPG0bbnkIni5HMKAwv6odruLh49Sh+uHkzLh0Zw8bxcTztvHW4ftceTM10ECcpbBKMihPRGE9btxbtMMae9iymwgidVhe2aaLa8NDpRBju8zDs13H3tgMwhy1c1FiG7dEU4k6M9UPDQph4iYNFi2rYfGAck3GEumnC91xs2TEOt+Ki3u9ithnA73fgKAPXnP84fOH712HDhlFs3TcBRAY4c+U82KqYQMWA5Vh44fqzMR0k2HZgHIfaXZw9OIDN+ybRdBIMVlx04xRzMx30DVTgJgbaJFyyDEmYwkktLDlrAKMYxXU334qBs/vhJ5BjhW/iwsZi3LJ3F4zEQP9AFf/6iS/iZb/5QnSmAqgkxeqxMaxavAy7d+7F4x77GHzr+zeib9jD4tHVmJw4iJdf+QTcOzWF6+75CR571sVoz7Zx15Z7cdBqIpoI8duveBlqaOOrP7oTW9MqsjCFylJyGjCynDjKYk482eMSmNwvyyUNB6VIeJApI5lk5seUZPBcC6ZNAi2frJMKs1QCw7JzfooT6CwRoiXKDLgWJ/ckAGwhrkgMWpygZ+zUoWzHtvi3DdNJkEYkCMj8kcAzYJDoIBHD7WQkHxWsqo80DGE43D8l+2bZ3G5ONKWcOCcZbNcCTENILJlMZy4srpvHI79JOZJHSmCYDlLpkDHsii1kQUTikxNui+SAguOQKEiQBhls20AiDUkyjCSm8E8wjUzaK014XKTQM7mWSWSaQmqSHCd7aQqRJjS+ynJikm0Yx0hjQwgQQ8WwTVuOJ2N7S5OQACDRAaTcN4MkdYbM5DpIDPHeYcB2LBgpqSWSn2zfFHGcwrEdIeXikIRVCsMiSZXIukm28HyS7OE64RgwlQnTsoSwTfk6OafEhmOzTU0hVsm2pHJuSfjyfFgwTB4fD5xt5SJNSIzy8y4PBtK0gQnD5jIGsiyFZ1lCBsUkbeDAtjNywEKe2eA6ckKIbSBEr2XANQ1EkZK2M0hg8tlNEsHguqIUtkPyWcHODMSWCStNEWcGLF6nJMhI+lo2kiCAmSko9kXed8nl8vzwx+b+sf/weDMoEtRpCiVktQsLIbIkhWHasEwbiSIVbMDzTFi2QtJlX7VhZj6iKIRD7ifOYGaRkG7KMeSBAq+VmOtkO1q8CnkPSpEmFTgqRUDyyc6JRydLEEQAOSWD5C9JU6cOI45gkKj1FOJOAMuuIkMgRLfh2TCjGInhQZF2TFPUfB8pP2+k0te6MeS7QiU802xPS/adnTtNAxjKFBLf7fPJHQvRxi+HNHTlvilEr1ND2pnJ7x+WgTjN+5DD7Qjh6wjZTVKQpB2vC37TyS04TREZFixhkvk5A612jEZNSd/ttkiMApnnw0gyuceQMFUmYFeqiIIQLilTuyoPMqACmBaJ7ASO7yCOQ3gWv3c8mFmCzPThIURipsginn8LrsP7Yhdw/Pz7kocfkojn9RDDVBFUZQhxq4VqvYK4nSAm6xlncuxZ0JKHCXxQIWS5SmG4CkknhGm5SEjY817LnTYSOIYN5bBPxTB5j0kSRLEN1+b1ESALTJi+jSRJkSgHdhJAeRX88yc/cjqGLxoaD5rkI0jmFMQLUSZ2ysRTmUAiKfjUT+w4YvBe/ruX5CujIHKKbS5ElhVEYkFGlVEmqcrEUZkAKy9LFMRhse9lYqqX/CLxRWKvTEz2tkP5GIrle4+hvP6F9rmM8nEej6wjMVqQlr3EX+/6SXCyHXvJuoWIyN795cSPxGuBghAsn6/ycR2N5Cv3rZ1v/R2s+sBfHN6vJ9675zC5XHy+WOaROCH+aeCKif24YWTJw70bGhoaj0K8Fl/EJ/CCh+Ve9lMn+X7x9S/ERUuW4Lr7d8pked1YP7JYYduBGYwMDaJasbFpxz5krkIt9NDJIlH5eFUXyUwsZJ2IeEQ0UOwS1UmmTK6pikhEucPlFJYM9MEe9jHZmUWl4uHAzmnYfTZUVyGZjFFf1IflS4ewfd9+DAz7cCs11IwKJjtTMgHlZIGTKk6SmlToUJFhAS+6/Arc8pP7RDW1Hy30DfkIOgk8GKi5NupGA10VomNmWDI6gm3b9+ClT78GX//+j5B6nKBlmJhqoVFx8KzLNuDLt96PZidE1bLx2NVL4Bl9iNDGjZt3IaN6y8zgU70TZMiaKZauG8GwV8eavho6YYyqZ+Eb92zGcy8+V0icRt3DR799Y06KVT0YnoEnrl2HqBMiMw0M1qtCYOw4OI1b7t+JZ11yDipVBwfnWrh1737MtbqiDCK/4ysboZFhZGAAG9Yvxo+/dx/UqIuoGcIb9hDFiUzw11ZGMd1twuJMj6oVZaIdBVBVC4N9A1AqQrPZRasTwLAMGI4BJ7SQWAqPXbUOB+fmMDxUw66D+4UEqqYeDk1MYSYK4Xom+tf1YVm7gtt274dhGjAshfOXLsOB9hRqRg0HZrpYOtKAl5qoD/TDqTi4Y/MWPOXis2GGfXBHTLSmx/HdOzbi1c95Hg4cPICv3nYTVtUG8JZXvxj/9pXrUB0awg3bxpElCkaWIktIH+REiZr/kb9FIKeE/MjJJyqYTCClUirvo+SphIam6kdey0kwqrWEcDIdIXNIihiKykgSJUBG8ouMjZBtOREmRF4KIeOoPuN7oqjiPooiizK3nOxg23D7QoeECZTvwM4ShKkDyxIdYq4MJFFD1ZWKYWVeTspYCo7rIAkTZJlNhgQGFUkkZnxPlEBUW4nojv3DoqKJ70MIHVE92lx/BiOxhYhP57djc56eknXIkBhKlGC5Eo3XmC3kj0lWwphX62VAzEm/4nFJIwshZZJEo4qSNJWthMzk8ch1Ot/wikowKictE3HKbZOwNXMyStqIWkAq5GJ54EAyyyTRyP3jsfEEZyS1yL2pXHlJ8aZtwyaBaphwTYWIhCI1lbYr2xW6h+pH/tuhUlBBxREsm+Qh718uMseCxQZM0nlikWpMElIkxpSo/6gQjOMYrumJupjEniNESACVukI0CUFs20L2kmQ00ihXYVk2UhK+hgnPdhCnMSWnosSkSpJ9puJbCAI+QIgRkZAzPSE62fGsakX6vzCuQmU6SHk9Wx5SPsHgOVA8dipbE3i+Dd4aSTDbVApmFiWicm8000iUYCQ4eT5IwlJRliaZKNxyTaAF3/MRk6C0ASNUotSKopyMdikrpsJTuegmKeq+Qhw4yKwULhsqS9AVQsmDx8uERC57g8g/q0DaheWaCEm4ijrXQGrF0ldtMwJURdR/JGR5fcg3nZvBSWKEhgsjCuBS7ZnYSBHDMS25P5GUVBkJbyqZbbguz5OBmESlm8LqZjBMH8qOYXpVmGGIkGQp+7dbEbU5DBKHIXwVIDJtZDH3x4Lh+ghaXXl4Q+WdNEya5mSbkLIRLKpMjQw2FaYU4pFgDaj6zkTJ6VQaCDohoiiDZ+WdynEtqChEZjjg5RdEqagHzRjIah4sksMOEPGa4nlPMyF/TbKUJFdND6nRRRqQW3ZgeflDBN/h8gbCLtX3VNrygQGVsAZUnMIlgewYQJghdTvIrEGEYYKqMhCqAEZGpXAEQzlyHFGa5n1XpbBtH3EWSp8j4UzFsOc6CBIDftJGG54o/xzqVG0nJ6VJoFoejIjXU4p/+aePn47hi4bGKYMkV5mgIXoVX73EFsH3XvWN5aekFuglsnoJQy5TbP9oJN/RyDaiIMDe0P+bhxV9vce40GtlYotkYEHY9a673AbF57i9QtVYXvZYn12I5FvocwXx1YtiHSTIeB7LRGBxfAvtQ7HfbFuShMciI3tJyYWOoVdZWSZte8m+471WJgIJkoCa6NLQ0Hi04KdJrp2sYu9U1Hyn8jDiREm+01aTb3o2wPc27YCtDNRdG4dm21D1YbFr+RUD61eeJZNpr+KKXahhu2g4PrwuiQVOFElKzDv1qFLhf8Jp8JXcXinzfJIYBtDxDOw6dAgrBlYjmOpiUb2OLMhw1tAwvAEPgeri/vt2oWo4GLEGcPDAJPaPHwCnKa04RM324DkOXnHpJfBsT5QfKjJg1Ww0qzHaAwqvvOIqIX+oYJibi9EyUhj1KkaG+2BFGf7vn/4VlmxYhH//9nfQVV3YXU6fFFI7Q8W08eW7N6ORVTG2uE8mOLdu2Ycf7Lof7TSDqtvwXBNGG3jahrPwjpc+FSNDA1i/aAnG23PYeWhayLFazUFipPjsTXdgwK+LtctzXXg1RxSG3TBFJwzh+BbWL+tDZmX48l33YOPBg4hIINBiZpmikLFSH16fi7SrhNBZOrwIw311TExN4/ob74W3rIaM9sJ+C3GQIp1OYaQGtkwfwuKxCgIVYO3SQQAVnHfuuQijFLsP7EdnroO5KMCG4cW44qwNCJMEVbeOay+/FDfs2oSlqwegYmDZWcsw3exCmTHSAQv1oQrqw3UkMwb2Rh1cvno9fM8SS9+OiQl0QqqsFBoNK590mzE2TW7Bi573KqTtEN+6+S6MLKvBDlO0wgiPv+gSzM7M4vYd92LJ0iG0TOD3P/L3GJ+dxt2TbeljnDxTtUPSxaS9zKRSxs5JJLIAVAORyKGNN0tyey4Fe7SaGrZYVm2+z35oObkdVdRTtHhygk2VFj9gy2+Sa7nd1xHlZm45zy89ElK5okshjKj6SoVMIA9jGCTnSPCRLCRRRTaKM3ZajEl+5esxjf9R5lGVRMKANkQSh6KUJcHoUVtE8ofkId9KxZ5NktJ0HFHmkJihGooEHxVcKiGpDhhUw9GgaVKNpxB16PBNkCZK7JC5/ZLWSk7gSX5w27mtmCQS3cCZzfbNbb+k4Hj+eSpy3i4nLknIkSA6bDOmispxhQg1qYzj50nMsi2pyMtydZAybTmvcl8wLVFmkhTLlIVIlHgmYlFkKVg8tyTKqEbi+XRsxLFCaihRT5G8Au2QtLnSvE1SNKFyMs7tsiS5+Vack4tUZvEAbdeF4ZJczZCqFFGUwLPZR1whxUh2sjwBbclCghVWY1JIRk54KmUjoejLtGHYnqjp/IpNfhi24yEWOzlJp1wRFmWJ3LxJ4NkOG5DEXm4HJclDpZqlaMrMCWKSz2mgxI6pDBcmCSfpJApRe0rOmaIajYoz3mJdH2FkgE1Hiy77Tua6iEnQxSkyEi0WSTESsyQ+XaiIhBGbIYHvWPA8tlcixHkWkHQk8evBTDMhxAKqs+AhRgLfVOi25wl3x0AaxWxmOJYFywwQJyG6Iv6MkVJpa8SAV0MUOTCiFKllwPYTVGhxpl1X9SHOEuknYPtTyUj1bJiIBZXWUCojSXrBS4Vooooso62XIsqYyj8S+QbSMH+/4lO96cHwq7BrvrxHwosWaPZR8rAm+5xY3lu5Wtz14KS0RNswfPZnoDFQEcJYnP5xgjCKoHgxObTP0n5N7tZGmtDazXOSyj08zahf9RG0W3LN+r6F1PPkIZjYXWnbFUq8Qq0orz6x4fL6YL/h6fa4P7ZChbeWMEFMS7ThoRtG0j8sKn9TQ6y7tGK3ogRRO87vc1QKqi7gOxCBsJPC7WuI/dpwPKRhHUanK+c+Ctty/WRGJPZpEt5UMNZ8kvcpbN9AEnXh87vJ5DXiyP2VKkTeHDKWAojack/kAxKT6uHMRBI7MJMUrgeYiTwR0NB4WEFShyQLfxdEEomVAgXhQkKHVtry504FBSHE9RbrKJRbVBVS7VdMMrgMLby91mGCy/eq5bgc953vkbwqFHsF+Hn+zfWS4CrUd2VSqSC1lr3+Zlk/f7jPxT70KuX4Q3JyISKy+Gz57+JnIfDzCykWiUJtWV5Pce5I8PE4CoKvOOaC0Duavbkg+IrjoOVWFHTzJGe5XYp1chvlY+D+Ho3ILN4v/15omTLBV/wultEEn4bGoxckiM40kAh7MHg4CT7iWCTesd472nGf7D36ZNrvtCn5XvlLL0LiZFCc9CjWP8qwftEiuPV+HDq4TyY43U6KQ7NTQuRQ/hPNJVBWBqOTE3f5zD//p8yGONfhjDMvLCWTTe6t43lif6Q6K3E6UM0uVi1Zic27d2HtsiE0O1S1dNC1aY1SWOL1Y+fsJGo1V5RGQZRANWMsHevLVXOjA/jSHfcKUfDbL3kZnvnil+NnX/pSIRaGRxo4sG8KA34Fdr+FVpxgTf9i7G4eQHwwhhq1sK46hF1qDvF0jL6Gh4O7Wugf9PDUi8/H92+5H7WGh6WLl+DWO+/B2NIlmA6mUeHx025GAiE28cyL1+HAVBMrl46h1Y1FebHl4ARGhmoYPziHdUuXYNlwA0ES4mC7je/ctQVVx0ZAyobWScfC0y5ci7pfxVc23gOP9j/aO6YjDAzWAd/Aa699Ht77j/+UWzSTFJVhD92DIZ779EvxtR/cAYfE0VBua0SHzqtE6vSNjfVjptnF2HADA1Yf9rTHRWHlJBkmWwEG+/ukltbLH/c4fPgH30XFsPD0c87FnVv2Yzybwblnr4U1l+En2zZj6aIBmLaJvZNTcD0Xqp0KgfH2X34dbt20GTfddxumu3NAkMGre/ADG5WKg4OdOQw6dRyamsb6wT7cNzWHsZHFWL96GKkV4Qc33iul2XgMTscUG/hstyuKryetX4tb2wpZbCDjuc/m1Uw8TiGRcgJJ6uqxPlfMWnA2ki4VVVT15Pya7dGCmteeE7skJ76sW0eeyvZEFSOWUlFdpaKCIxlI4iqmOsrNPy98nSgFSU5lSBSVPrEQsVRjZkLc2Ei4blGRkenhTrImGpWtJPhoUaUSKLeukgggqZdr40w4ZobQ9OAZGaI4hD9vGSTJ53LyTUUMCTrOoGnl9ViPLn9N6uIZrAGYCHFFEiGvizdf60/RQsm2IuETSd+jko5ECEkttmtet69QHyqYVCpGtDQ7SGmPTmk7pTJNuqMQQZZDhRFJIX7eEdsrFbcWCaSENfO4OyTGeD8wpX24DFW+rHsYcv2sI0elH0lathLJbbH/c11sm7zep9Rho4LSthBRgclbkkHyLIWlqBikGot1vwzZR3Els3X526E+0ZL2JyHLMgRU66WsR0d1omHk158QZHlRQpLUyojg0BabhrAd1nBLYXokQHjKMiGZpM1IBvPcswZfFkKlJlzHQMBafFK/LD8fJO6o6ktoJ6dQMqO6iUQU2yNC3LXgegliknpUT7JEgmuAPTWxXATdNjy2hUElXITMqSKh/5UqT2UhIWka055KFWgFCev9iWrSgFt1xTYcNkO4VVPq6FFBzFpqtJrLac8seDVPyJgsDIBqFRltxOw/VJmxHl0rkRqVqeHBpiJMRWJxzVg8kd8j1J2xDKHlwzS6sJWNwGA9PNqESehSpWojZdtQcWZEMFORacoDCpP1IamNVTzvVEWS8MvJ1gprzKU2YpLd7De8hhITymWBQF5VgVxnLpV4VMWS4BO+OEVo+7BaQd73K0DaomqTfdGG43gIaY21LSRhh6ZlsaqqjMSufVhla5t8gJNfOx5d7DwWOZG0fJPky6TPUxmrSAQajtiiuY2usuHwu5OKP2WJvduwG7BNktSWKCsdk8RYBTat0c02bN9C2A1Rq/tC4GVUQybtvKYhlXQJrdUmMn4/tzKYViJWcRLxJBCp0k6CLjLPEYUf+bsgIMHMcwFEXbKn1D4qRIrWZCoru7AcEpx1GK02UsdGzUkx2XHgcrzQ5Z3IQpX7alJ9qGA4FXTnOnBqNd5REbdYczEU625CxaKqwk3mROn6j//y96dj+KKhccogsdZr9SxbXwssVAOuTPqdzBP83tptvbXaSDARC9WCKyvNiN7Pli2kvRbUcv23suKtQKFM5CSksI8W6ywUar321oVsqcdCL8FVXkdhJS5sv8V+X/eNH+PDu755ePli+0XblY+xt516lXkLWYqPZnteqB/04mjL9K6naMNjqRsXapf/rVZdDQ0NjTNFzXey+Kkr+UyfAgQDc3GMUauGoB1iqhNh/MAehGaKvRPTiFSApY1BJEGKxy47Vyam56xei/NWL81n0ULmFZbdfHKRC36oqsrtiyQNqBR56Qufi6AzjWg6ADwbu2YOoK+vKpPFZjAj1i6rYyJupshsB1XfRWJm6EwHUCGLn3vYO9HEzvEpTLbasKmUSIH9kxN47mtejpiERx04sHcSQ5UqgkGFtpui3rJwKJjA8y+7GrUxKvqA/UEb6YEEVcvFRRs2oDFWhZs6uG7rFlRWuHjDr74Ot9x+DxzTRtBs4ZyzzkIrTdBtRxhw+2Vy+ZVb78Pa5YuxZc9+DDVcxEmMRtWTWoCTaVdsWnOtNmoVHw23InUNf+aCtRhxqtJmdd/DgWZTCBSSGbMTIVrTIV521eV4+vlnY2Z/G1t2bsOySr+QLZy9+ZmJ+uIKrr9la64q6jeRzMYwWRiKnCvtdXaufHSqFs477zwcisbRPtTFRSsvwFQ3wIrFi9AOu5gKWvinm66XYxyt+Ng1baCZhkKO3nffNmwd34uBqocZO8UkYhhzwPimGZlYdjohPv35z+Lfv/0NtNsdPPWcy2RyrSKSQwYqzhA6zS7aaYgwDHEwylVZTjVB0M4wN95CEmVSZ7ASO8j6FOJugrGGh3OWb8DateeCpb9IJLEuGlkb6UdS9o5kVF5DkARSUSOOBeallhntmOx3otQieZHX42PIhajWrDxEwkhVHkJAS6tMmPM6ZiSpSXjbnMTSIicEXx6WQWYpy2hDY504BjHkiiDWj6MxMQ864MVA+ylZtpxwM6ncUzEUFWFU0ZGEMNzc2srZtmIlMRtmHCCmUhAuQs7WLQZl5LXPaKFFFsCkJZskQkybpjlfp40UXQYVBnkgR0olZV6vjmQKVYUkoTih9ygZooqKNlkefMb2INFDdoKcFZWJltRC5OsM6GC9O5JftO7mVljWhyMBylANkjKUGSVi7cs1fNxHUwgdtg/3jlY9krJC/pOyTGg7ZXgCLbY8L1SR5fUMeWLSKLdjU5nJOnKKrJ5ry75I8AeJvSyvecbjIrFCK7f8sI4d1YSmKUonoxuLEkvuMQyUkBqAJDm5PYZM0M5sHSZRhZBVgayXhJLUdEsymLSOClGTIA1JblJdmB8TycmYhLRtCQlNZaMpwS3zNQhFBcZjoqqQii8qOHObMsNASF6ZVowua6zxhyQVmxsOq0BKX654tthmub3UYE3BlpA9LqggVLDCCJ7rw3Sqomql3Zt92iY5E/HhRACDPlqeC+6XCsV9KuUADEMU3IbJdlJIWcdS1LK0ZYpYTESsUuqOpJYdzdcbNJGGndw6Tis4g4NEyRXDZe082s7l+jWFIAssoBvTLm3KbxKLyuJ3hIWU/ZSHyhARKjKTnLQiVWZlJqLQIjMFkypuCQyh6pX3vxi2D7hGVchYqf6oaKkm2ce24r0zguk5SB2FJCA5RpKOdRgVuiRr0y6CKAJqfTBcHrMlxDiVhVS9iTWbCkCqV00LkeHI9V/UcyRBTUKV/nUqSVmigKEq4tC2TXhZG3YWwFIMHjFhVn1YLt/nkwUG6SjEVKabIbJmMO8TV3Iuk5CWaao6eZwmKlY2r3hkXdyq1AA0rAS2T+UyeXsHEesYRnxQYaCiMoRzMRJezy4DQKgWBHyPpXBTBKImBuw+2sp9uU8m7RCp3H9MtDop6l4EFfJekMB0FFL2YctEO7OlVqZRJRFpwO90UW9EcKquLBM3Y6juLGzfgfJ589HQeHjRq0wjKVRWlPFvEkMkXKj0Ksgb/n0qigYSZ4VqsFCZUQlH8N/8IQlVJqIKBV5Z+Vcmh4rXC3KwTMIVCrjiuLj/fL8czFGo+1h3rrATF0Qkt0Mys5c8LNrtWCRV8V6xXwWORgwWKryiDuDh8/GBv3jAsmWFXm9YR/nfPP4yuVmEa5TPe2/ASFlRt5BNmv2gaLey6q6s/Cv3n7IylOj9u3xMx2sjDQ0NDY2HR83308ZpI/lmkxjNNIbRVTiYtDHi17Dn0CHsHp9FkLAGlYnl/hCWDNdx0fpzsGdqn9SPa6kmdttzWHfB2bl/j3MNUQvlZAKJF07Ehegwc2XNhvPG8PlvfVXCKEYHmTxowI1NdJod7J0ch6VcdIIY3VaALMpQrdTgOXXYnFRlnHf5QkaZvoV2EGH71Azcio3nXXw2vnP7HcAU0O/6MmHvW9VAOJBCNYHF1QbCxUA0m+Ge+zbhBU+6mr44zM52kTQUZlpdfOcHt2HlwAC8hov+jgc3s/CRz/0rGmMV+H39GFo6hFe+4tVoVFysXTSKS9avxiVnr8fo4CC+f89m3N+cxlfuvhfX79uNO/bvx4927sRsN8R/b9qMz99yFz73ozvwnY2bUbdd3DG+H3NRiD7OrlKFS1esRMXzUTUt+A0H9bqHgcUrccfOfXjK+Wvxn9fdhENZWyZaVp+FZ172RAwqF3OqA7NGO6oFlpDjRJqEhz1gy8T3vFWLMVav4rrbbsa6RatEJXfD7T/GkpEBDNcGZaJfr1ZygixLMBBUQW+emGCZxhplOBQ1MR52ML1lHLObp9CKAlTGbLzgqU+E45u4b3oSI2sH0T9cx39fdwuazQ6W1BqYDlrYF+xHzapi1fAohhePYLDPFotXOkvCCxhc3JCevLQ6KH/XAwe+4WD/ZBdbD27D6uVDObFAgoXkDlVT8xZRHicnoQxsiEl4UdXD/kd7JbtjHM/bIuUD+WelkByVXHEe3sG0UjVvmyTJJhZgSNABCQ6qymhHI5FHUiNXls0n9rIGG3lHCVXIxD5KIs8Wos0R1SMJDVpMM6503jrMAxBiIpcFwiDpQDqMhJaRSTqqJBJkea0w2islTZbHy4RUskQkMHmQtCCzFh0VXAbDGyTRAqbfJ3ZNKotEj8Y6mqBqKA+D4LkNSDJ0aQDmpZsIASd5IfO2ZKr7PBJXMonnMXBzTOcsYndzkjUR224+6Rd7fkpVD4kqUwhJURVK/TsSD1w325xBD1Q05gG7Yotl20pabJ4YzGuYtdrEWsvacWLLJVNCUorqIdYdtHLikgoypjozFYIKNzkiHkxeL4zbYZiMYpqsVSQdx6JEs7lO7mtOOYrlV8gKkUIlMFwSkCTIqIK0YTKMQqyveZ1BknUkAMVLapiIyOVUWPePSk8+4MiThPOwkdxWTgI+oRIt4vl1cxUplWc8D1Lbj6SkK85xqvVIxZHwZBouCWwRK0qNRSpTeY49pDaVbTEy0xTFJ5dJGYZAojFlKNJ8EAu3zVPF/ibKTioXWYqB5J80mZDeSUCrcyiKQYZVMJnVZgJtzM8zNTs/lxZr74EEJfuPjU7CkAULZhSh4vdD2Qox61CSkKxRAZrCSlJ5CMI+zv2Po64oBXktU4FLZt9gfTnaviUNltcMSdlUjpPHk1KdV6M914ZJ0inOr4WkFcIAVYcM0ohkfQkDUiKWYsjTlUl8CTcmFRhz23ysfOmLFmPO+SaVkWwvbpPnGjbCkOESVCmSWGUyNUNLJGJErL/0ycs1mASwLaowM6QRScv8uiGpJ0RxQLWnBc+IYTEUQ9lwawz0oKYxV9uKDZ42W6uCyDLgsdyfw37IEJpIgjIyw4ZLctVMEXfaUJ1MgndiPqiwFGKTNTBp545At66oa/mdIyUaWTvSEjt1J8oQmC5q9br04bCdyHHFcX5vk7IIvN8w4Ieq4yyBV6uhYQWw2f9cW669iGpInmsnQRs+MuVLQIepMvgNX4KPeA/ypQCmhsYjB2VipqyCKwI5CmUbXysIoJOxWxW19kjg8KfYBtWE/HehDORv/hT7UxByBQlUtooWNmL+uyAGCdbI43tlsrDYXkGeLUTWFdss7Lx8nxZi/ia5RRQEXNlmyh+SefwpyMpivdyH8mvHUsb12nnLar0CZTKtIEHLZGhZoce2K5OMZeVjmdhbaP29xGH5fBV26WJ7bK/C9t2r7qOVuXxMvbULi3Ysb4/rYvCGhobGmY9Hui33kb5/p9MufLrXc0aQfLQZKodWWqathpKWOzLQwMXnLsNwXx/shoVN+/djy+Q47tuzDYP1ETz2gnMRHuggOZhg+/atqC9y8zRC4R1ocaRCg/xATpqwkHhleQP7DkxLXZ9Ds10cmJlFrV4VW89zL78IWSdFp9WBwVpLlsLwQA3T3b1wkhDBTISzFo+i7joYavhiL7vmcesw2KjgGes34Pv37MSly0cRNzI0nRjRDNUKKRzPxrBdwaF2G629XQRGgq0T+7Bxz12SPtto+NgwcpZMeqgESiujmJntoLrMwhyFhlkbS4YH8ZjHbMDf/uXf4Tvf/SGGzBpiw8O+qSlMHJzEuWvWotboQz9tfJ1EVC5iy4sVfv6KC/GUDWfhcatXoZWEojK8aNUovJQ14QxUXFuCPrgvW/ZNoOY34MLEky++EP9x3dfztGJJL7awdtFSNEaYNqnwueu+jZluiIrl4KLhs2C3DLBePckItl86G8Mb9HHHzr3Y225LDcObNt+Psf4GBvtreMzZZ2Pbnl0YqVTycxVlCK0ES85Zg+bsISxfdrZYo9tJhHB3hN940XNQH/RhVE0hQYf6+rDxwEGMuQPwfRtGK8PK6lKoBnDuqjW4e9de/Oozn4lLzl0Fr+Fhy/a9Us8x7Jro8xrY15zEsuEx7Nx+QI49SCIhkQI7Q9dIMFLrQ9ZN8YXb7hTujRPfXE3ESTJbILc95sSZIQQy7XK5gd2QkvT8oNTOo4qEJArVf2KpI5dnwpTiUCSISCrkhBAJOm4jZiAC9afkl5QSK2OYWYiYLkHSSaI5czLbNFMhp1iDTOpAMg2WxFaUK5+YGCrWTwqvVIw0s8GyZCRWabCl0iuJmVwpG0PmOHmoA+2xTIcmycB9JzFFizIPjoooqftHhRIzRFkrLs7r1UkIA1MXWGuQikYTJsMpWOKR1kM6ealyY9k7j8pABiiQtGDKrdwR8tpuYnVkQAVJOdprSWopOXyxKwuJlOX19UiOkLQjh2XPq8a4bVkdj4tKPu42yQdmofCY8np8ttQuJJuR2xypOiSZSg6IhARDT7j/FF/mBCNJHxKxJD3mbbwGiVogjahgVP9Tq1GIPioIGftAwobqQaoVqbIjYUGxpC11+yw+HCAFLArB3KrN2mqWpOzy3KaIKE0jgUVlX9TOySeTQRR5si1ZMhJYiC04HlWOrOfIGom0pvKAcitsEiew0zAPuyGBKQS2l+8L+wdtu+IEpnWV1nNaZCGhBUFQEJ02UglhcUWZVfFEdwilXCH72AclSCMjEePBYp8hCcuafmQwSQYnXcQ8J4YpCem8J0lpxSyAwzAS25DwIl5xrpMKeedXPLkmeb2QXI2VI/dDnjAq8IykLSpRt8Hw6I7U9KOCNepGsCOmDtP2nZOaRtoWlWHENktChEGKqEMCuCL9glZvEn+GXREikRkjnhtLsAXDnLLZCMoiuZrX10ysCqxaPbcmR6zN5wnZK1Zex0JXFLVUNiqYcV7DkGnpirbyIIQj12oKx2edPUtqUpKYY+CTZaWoVfOUWMsOkbFuoW3DMakwj/M7FK9/PhxgWjbty7WG3EtcXrSeBY/kKO8Tti+lFUiMU2lMdbGocZmeQatzbCEMErlHqbQjCkZDymmY3K1cpUxOkaEZSYaq1ZAaflEcIW2xbinQofqYKdculZkKRsVHZnpCtNNynXZSuEz9TS3UqeZnDU8+8KDyk0nZng/XiVD1DFEihnN5zb2kE8BmQnOWopP5SGquENxW2s4Jc9OSe5Rv8UEGFZgWUtrXeUuk0jlJ0IzZgTQ0Hl6UiZ4ysUfihcQN0UtOlUky1swrJ68eaxJVfL4gvArih9sqE3zlJN5iW+VlC2VhUUuOyxYKvYJ4Yr057n+ZQOpVv5Xr3BFcvmiDol4dXytIMZKchSquOJZyO5HMK1uACzKzrErr/XeZsCz2c6GQkPKyBZlW7Be3WygAy8daKPQKhWDRPsX6e+3KCwWB0MJctG3RbvyhGo+vF21YEHkFKVmcm4VqAvb2p6OpIR/u2lUaGhqnB4/02pqP9P1bSGn3YEi6n4Yl93SQqKeN5FvuL4Kd2FIzjlPmzlwXM60Ad289gItXn4NrzrkE11z5OIwN9KPimFi8aAATEx1MGyEufuxqsYMFc1Tt5Wq+PNl0PoBDiqIDF61ZhplDs2gGIfyGjYFGH2xDob7MQ9yO8KWb7py3WypY/SZqIx4mwxYOHeygmUSibBtvNzEZdDDe7CCey/Dje/dj84EpbO1MwRg08PXb75UJ/dm15bjgqeuBloGBZgV790xitE0rkympwWuXLsMdm3agm0XoRhHu3bo5VzF5FqpOEwEnJzUfQdzE3slpCaaYOrAPr3rbK/CYJQ1s3n4QymnCiW30VYYw1Z7D0voA/uWjX8CqRQNY09eAVyVRk+H6+ixu2LUbu5vT6PdZF8rAnTvH4VKlpIAurXPKxPhEUwi4Nu1ujo3NB/fiWY+5DBXLwl37DmEUDUx259BfceAYNux+G4GZYnVjDLfvuh9jYwOwag7qlouRkX6sWL9YFDNpO4XPhE0SRJnCZLeNbhbCawzAMT2MT7Vlnz753nfA6pq46a770Fg+hr0778FjVp2Fl131JKxeM4hPf+2/gFaeYtyoOqgoD9u23i/1+TghjGcTrFg0hIpvYtuBfaIm+edvfBvj+2ewdGQUYRJjNmzDrTAEIEGj2hAV2lt+88/zQIo+B0mcwmHysOljDgEWL6qja7pSJF8K4ZNQks7Fal85ocEUTRrkhN2j+5CkXeaIHVJkSbJUkh+/5Dvmaj4STCTO4oDrzN+jqkpIHBKJUjONBEpe1J9WSiFF2AC06dmeEFbMxSU/wwm4aZNssJBGDI/ILbwkJFN4sO0MLhU1GZNo84k9653Ryu5WfEnlpAWWpAotqZwCi+1casyRmCFhwr0kmcRlcgKNlBXrj3Gin1I1qJSoeGh5pBqIijDaeXlM/Dd/ZwyesCVuBCmVSo4jxB/tyGJ95TJif84tpmKntjwhzfOkXZJ+JOF47DmVlv9frs4TdRsVh7Ssmnl9PgkmlvhdKjANIR9o6SfxK4GxKoJiqAqVd6y5p0wJthDSZD4tV4heBgvQVsz7C9N5U0NCAkhUBbEl55/qNKqOmM7KvWPtM1MUYVRmKljcN+4/67hlrOXGPpDmlmOWe8wpNFFJ2R4VjPOKZHJ9VIPSos2ghYo/348YgkDikH3UEnVsakSiWJJUVcMU1RQJOyF7Q66LClETFvstZXO0QJspkjgPtiBhm0Q8z5xA5cnkaUzamQSjsMXSv/P2yGAbCbpMvKaNWbGWXG6LzRwmAefKLZ5Tlgrg9ZCw/9geYqs+3w9NqG4k5A/7DUNouinJT0sIL6UcZKmfk9BBW8hyEuUFGekkHZieCYvyUcORQI+0Q/JKSTo7z5PnG2i2pnIlKu2vUQbXrWJq70G4VM+ZrijvlJNJP0hiKgBzqzWlh1QgupW8DCWtybSrWx4JVlqseVyeWLLtMMpVt9UqwCRcqkd5bjKqCWlzrohS1zRjuVZoESfpWyGJabnw/Jr0e4v3G+l3MTz2V4/BR6zHZ8q5EZs61c6085JY5w3SNZGFBlKHKrYKjLAFt1LPA2xI+vOqY/kJqugYhmM28tp9SVts5FLjkqQlVduuJyo5ETzaFXQiKl9ZB9WFkcTgZcHjlbTqYAYZayp6DgzflITtqusLYRoGDrqJBxWT+A+lJESUVGA3XLRnu1B+im5aydu7kyLIvPw+k3bzEB+pX2nBq9eg/Bpcty4PJFyVSL8zW0pI0oxqUvgIg0xKRET8vg1Zt7cNO+5K4I3vKRhVDy7rNmpoPMwoasCVUdhhSdyUFWtlkLyhWq5Y/ngTCpKBZbKuIJBI6pUnGyQMC9KwsIOWt1Eo9oowDJJNZSKJ+1vsF/eftfXKyrSitl5x7L11+3rbgWRfmXTj+ortFCi3U5n44r6VFXxE77+L9fQmypbVcOV9Lod3lGvdlV8v107kMRYkZO+xFSgUf2UUx8NzUa5FWLzHduG2e8NNCvK2IEJ7icPDRPFbf+eIUJdeHC2cRENDQ+ORqub7aarj3v4gSLrTRfAd63jL750qiXraSL5t+/aiO91FpVGD7VRQ5+TIUfA8C1u23Y8vfO8GbNqxA5u37MHkZBe3broXP9lxr4Qb3HTDJjgGbWW0U+bpmqZjw2cNKAMYaFRFpfCjzduwYekyWJklybwvuOopaPgNHNzWlLpJvk8VDDCwdgCdZoTmRAjP9PGmlz0PQZZglsl9ES3FBvo9FytGBrBkdFSUc3dv3oewGWP50kHYXQuXXbYWBzYdQBBHmCV5AODAVBtrBgfFpnjPjt0yEalXPGRdhZHhBp504RNwydmrMGtTzWVi155xLBnpl9CF1kQHOyenMBg5+Nsvfklqnm2+awL3HtqB2kCA0f4xTB46hLe/861odxL86W+/EWZiSi3BRffFOHf5CA7OdDDaVxMlomNY2DU5B9c2ECYp5sIuKp6FZjvA4r6a2MAOTczgc9ffImEcVyxfiTVrhjA5PYfXXPscqW101UUXCsFi2g2sGF2G8YlZISFmwg5W9g9g785DqDUt/OGrXoz2VIDFahT9fgVBkqI2WMWNN96KZnsWFy5dKaTGG/7ovVJ8fTycwJZd96LuVvDN++7EZ7/3PWmDn73kqYgdhaydYmK8jf3tGVy4ZjmWrlkkoQWzUZCToTNdITDrvo8D0y3cvWk3tu7eIQqsscF+tCMDMdVCtAYaCd75rt8SLm58tpVPetMUU50W6paJX3npK3HNylV5cIQo1xg+waCFPHCD7WTYnFzmdedoKcxJHYZE5E+i8wiHnFiiXZDKOSlGL6ZUWvmYyEm7GUkxGy4JUamvx3pbDLwwYNlMmnTnVWyc/hqIggie6cCzpNCWkIdSe80koWTDYYQlVTqS6psHElCdQ9UhyQYShoaQJ0y4DZBReUW2i/ZJMzeOSiota9OReDGpjMltqTaJBC4j4bZUOrlQNqvhsa5bRsGQqNoSWgKtTJRDmRBNVCEqOJkl1kYxHToOkoBkXE5ekSiQIbEUU8tTPVlyTJR/JABJ2FH5pKjMo4Ivr8elGDTAY1GptFtEBoLKIAmRSUX1J5m0VH+R7Jsv3snEVknSZa012cecPKLaR1qBCjsW/+e+8OZiGXBJ4FGJZDiSVpx0IyHBqBYmKUrbJ4lJIQLFUkxiL4JKuP+8P+V2QyETGdpAwsWszN9VWfdPyTkQQiQm2cH+wtWQZJmvqUeSMKYii/vsie03D3LhgZJ0Zv293CrOc2QYee05Kv5oo2f9RMkSkXqBFVG6mYrkVJ54zNVQVUXFmdSokxCQRIiplFZV2olp761msP1MajySgQ8TW+ylpsWHDLQddyXUgpxzZlAzzT7HZSmLVDCTPN1bqQCpydRdksu0H7tScy71qvKQxnYVLCeG6fN6Y61L7heJSxK4BizPh4oCCuekFh57L7VtVOjFGUk4Gyq2YTm+2OhJivlVqjNt9C8ahU01rcPk4Lw+o4SSpBH8hisPitgXWYPQYDIwSzWSSLJdCT5KO4GQogzMSdqzSJkkzP1SIdJuIkQlSUnL8mCLMjJCwv5DUpDXc9IRFWFsVykFlRR01hSkBo0Er2NQrZjBCANE7F9GmgeNMInYohI2Q0KCtkM1rwOHSscwhpU2kVkO4tkJJNx3vybXShZFcLMwf2ISB/LwgvvCkN7MawgB7FV9sXXzXsTtIW7Jdc/t88EDE4kZMO7V+8TGnvh8UBDBFRV9hiwIhbjNWAPV4v2H6r48UdpxU5jpHMAEXNrpyb0zVZtdnnbgtJ3XLYWNiH2d4SNUX3Y7sGijtqlktBBSrWi5MGqeEPr8jE0LfIWW6RSO6yFyajC8DBnDV9grArZ3XrJAQ+PhRqEA67WJ9tpYe2uwFSq+Y4GDfKrsesMzCtKQ7xWKPYKEUtkWuhC5WJBPhd23UNxx/UVwRgHu61M/sUMmNMW6in0vrK3FdgriaiF1Y29CLLezkPqs115M8q/YbvlYekmx8rER3I/eIAx+hgEcZTtssd6F1lEQmvzda48tpxcX+10Qu70Jt2VFXrkPlMnUhY6rvOxCYJ3BY9Uz5PrPJAudhobGmY3ToeZ7JNWz+2lgoeMtyL3T0RanLV33zb/7Kmzcsx/nLl2G+/bslzpPS5cM4jkXnIuv3rURuw9N4/yzzsXm7ffK5K4CDzXbxaG0Bdt3EbUTOFUDUSuDV3ERz0aw+2wsWj6A9f0jiKcD7Gh2hFRq1OpodbvYMLoat+26L7c+UdHCNMgBC8OBgwvOX4k7Nh7A/tkJUVCsGRlGxTQwuGIFvnPbrbjirOW4d9ckhodqaMVdjE+3MDq4ElPTe7Bk0SJMd+ZQb3jodmK857WvxPs++W9otxNMBm0EkyT9FFzfhcV6TlVgxG7AbdSx+/59YlFbOzwIZ2UNmzftQXcikAny0rWDaM5FeOrlF+GLX71J7JS/9oaX4LtfvRl7jENYWevHsoFl2DmzE82AxIsNOzawZKiOPeMzODTdhuHm6qvBWgXdKIXvmFjUV8fYon7csWUvHMtEMwxxwYpRbJ1sIewEokOLXYWV/f1Ccu6cmRUS5A0/+2x8+EtfQs2qoDZQxauf+0wc6E7BCBuYntyO3dMz8FQdd0/vgBunMGIDM0zk9JiKmaI64CGYCiUxd8Jso2J6GKk0cP++vVhlj8hEbWJmBkGWwu6zcP7oY9DwUtyy/S4sHh1En92PwTEHz33i8/AXf/cRNKMOrlxzMb50+404e/FidJwQ/e4wNt6/BcP1Oi5cuQT7uya2tbcjOhRg5aKluOZnLsc/f/1rCGMTTmigvtIG9maIHAXbzXDWkmE0Rs/CrdvGkTB9lQQRCSZO1KloEjIjt6mmMevw5cEOhiSSMskyt6KTiOCEWt6T3IJ5gorUDG25LMovAjVL6AtSIfyMQfuoJNSSi2GdNCaLkshiVAFJG/akecuf1Prj+pm4GkptsjBM4Hi0eyZIuY00gmExwTMPuBB1mGnL5JpknITbkqwkLZlRbWNIOihZtziN4eVeWEnaJSlEW2kocQysw2hIjT5TefOqpUDIDcvPCTjuJJWcQs6RrCO1S0UQUiHfqHwS1SMTMmNSlhLHkLeG7CbJ0Bi2zapxUkBQ9oW3IJJAJC9IuNF+yGRSKiKFWCFZwvbmQcwn5fL4mOJJNZ0YsSWRluSQgShK4NCuTFu1xPcmsGhnFeVbXnOQtdpI1EjSdJonLtOSTLLFrORSL55jko0UwpEjMVkDkYEmZoZUQjV4EAyIYPvk54stnzu3mRQcSZ2+NIzgViuiOk5CBg3kYS3sT0kcwLJ8IXjzeqQk+mgDz8lk2knzcGVD6i2CKbQWAybySnCihGN9yigV+6nExqShqNNYC45EJc8A+2UkVmxadrlPTCB2AT+RmmoWCRzLE/KV98uAhGYI2DWmLlMpSOVeTj4zaTXiebRov7Yl6dxmjVNuMlGwKrRv5jZs2/UQdEM4rgurUkHK0ARebyRwWdeNycAkCkU96Ul4jAUGpYRQRgW2EyJNqKAkyQckszNIWU+QbVqpCJkcJB3Ydk3IYY8+8IqHOMjrzrGfUl3JJAiSSkEnhE+Na81CGnRh0hbezWBWafeuyHJpczq30xtKyk+IUzyMJb25SkUd6yZ6DCNpwqUatx0AdQdRK5Lkd1FHGlSZsj0M5t4ImUmvKe8Vdq0GI2LQiEJEi7SbT4y5vSjI7eckt3m3kaRtWrgdkow24m4Ik+Qy069NGz5itDJPwjOEBKVqMAuQOAx/CuXBBVPcXZvlKYB2nF/zynJRcWyk7Q6sKtWwvL94UhuRpCTrRTpVH05Ge3OA2K/BITGcAm5/RfoPYqo7O3KeM6ql4y4iI7dEs9NmYQK3UYHhMOWencOGkbTy88zrhfefSk1KInSDFnylEBqe1CuU+yXvAybQZUqzKK89uf/l10mMxKzinz710dMxfNHQOGUwYKI3MbZs6SzIomLATlKunIjbm+JKAozLkAAqyKWFlGC9BA8VfcW6ieL93iRW/k2lW0HI9W6/dzvFtottFCjq7BFUuhUTvCJ4o1wjsFAWcn29VqkyGVcmtHrTfhdCWY1XoJziWyxToGzRLduOF7LZlvetjIXaqYyFUop7a+wtFLBRVhWWE3WLYyqWLfpT+e9iO2WSUCframhoPBTgw4PjEXo/bTvrTxPvepiOrbzdn3q67uY9B/CU8y/H/fv2S90t1j3vxgFu3bhJSBHawzZuvS935MHAJU+4GNNdpgEaMML8Vct0ceHZF0riH5/S/+KrX4QlfSPYcWgSU+0udty/F43Rfkx0AiRWitkwwfBgP3xanSh8iVKcPbwO+6MA37ztPkwbTVy6bgnGlo/h3v2HcMfEOP7w9/4P6rCxe6aJlUsGsH1yCpZbw9iiAcyM70XSzbB790HM7u1gen8bz7/ycrz5fX+HthNjrkarUiaqFaqCBlZ4uPysizBm92Oy1RKCjzMQf8DC1s4k9u2fRGN1f17IHwoz7S5qDRdf+OoNQhKOLV2E//76DXjm856IEbeKNStGccume1BVHtaevQJTrAGYhtg+OYOkqKtnmBioVMWGKcIkQ2HHwRls2n4AA3UPQZqhz69g455xTM3MYslAA+uXD0u9sBUj/dg104RTc1B1KvjM974Lu17BTBRgf3MGX73jenzj2zfjn/77i/jvjXdix+QB7Dt4EFHQwXQ3wHg6m6co2z4uO/dczE0EGF22CHtn5zBaqUnwyb7pSdThYWc8hZ3T44jqJlxl4ikbzsdjzhvEN+65EVddcg7mpjq4cetG/Nf3bsc7P/5XaCdd1O2KJDNSBToZt3FwTwudyUOwXBtXXn42Du2fw6btm9CdDBE1U+wY34/rbr5XCAZlMfwhr0E3G4awIiW1ubZPNrGt2c5rtIljl+QJJ+As5M4QBpJKdDvy36RNqBpjqEQoBesTknuse0VLqEqE7JEaeVRAMs2VabQsLsbyWzZpLaqOIjhUE7EOXRJLfAPmxVkko2nPEwufWHxzGwjts7xuHDmpQGw4SBjAQQWgqL4sMDvDNCpil5XgAil+xwkxrZ8MArEQRLRw0+JOkRDVZAqJGeRt49pIrdzSnASdPCjCMKVen3CYrLfHCTYCJEkgBA4n3GwXMlo8ZirtpKSdXK8kvKi2o204FsUPOSaSIKFYEEkcUXXH3fQkrZltxuk6SVapL8g6e7neECbjjqXmm5WrH4WIpWpRKuGJapDnjTXF8uARtkcempKL9EhOpGI3ZRsbwhzmaka4jthwhfDieWGtNbH0cj+VkFDsF+R2VJf2cyrq8iAVptPaVCtSbUmrKZV7cqgmMtZ0iyI4vi/HwNp6ojaU88kqaCbceg1ZEMn5UFQziU3YlMRl3/ORIYZP665FbsmERxWXBNEy8MCE67myP/w3j0fq4bm5iZw1AWm/pN2YCdxgOAJDPxITYRRLLTfJx1AhXGde5UhC1ndy2y1TiXk8VNSJMpI13mhhpuouRDTXya3jrFlJwo/Eaky7KRWbufU6T2ymksyF61tIQwMRLeVMfzY9UaQmaRdRmynhvrQX6+6losgiyUsymkRmiDgMmGgh5FuWdETBJ0Qg47GjVAItXFpQSfSJvdmBy6qBtMKzEzi+WKdpkea1xqALKkmpxksCqm4tdIwUqhvCst2ciG1UEMY8bzGSsAXD94UwpeVYbOqszWjWUak5eS1OscOGkkJOqzx47kMLjluRUg6G6UnKLe34iSKZx33hvYXBExZ8qgCpojQMeE4K0o4M0jDn3+e93aLy02CJBAarpIjaEWISvlTZUZk7HwwTUznMa4zqxqgrBB9Trt00gOGyb9He6gu5mPK7izU8zQqctIs4CJG5FkI+3CAhz+aTpwTU82ZI2k2ECWD6VbHyKyaMe3Uh+Jj67fgdCe+gQpRhP5HYwgOYGRWvFqp1hnJkSNsx4k4XFks81Bt5PT+qhFUVIR8eJCxloJBVSJCyLh/jWELqi5E4tILHEpDj1HwhXG3PRjZPYmpoPNwoky5l9IY1LKQc6yVlCgUc/11WozGwopdQKgIzip+CNCvUZIUduGx3LUi3sjKtCMTge4X9t6gjVyaqyiBpV06vLSZ8hepwoc8QZaKzF71kXqGEO5bttExw9dbbK9fgK9clLNRxZUsuSc/CHluuF1hWJBb/ppWYn2Hb8nevlbfY76Kty6Rfmewrq/7K56JM3BG9Csri32X78UI4VjiJhobGmYdHijL3RBR7ZyLB964TtAqfyLEtdK56138y1uSHvSYf1VCdVhMO6wY1U0RUKGUKt+yfxAWr1qCvnzanfIsVVGCmJlaMDaDCyWmap4mS27t3490IDnaFFPz7D34Od23ZjmCyg7m5Di57zAqM+TWMuC7SZoYde7ZgZnz2MHHI/+659148/eILMdyoYHR4FLfvGcf4wQkMVD2Yvo1rnvd0BDatRrSfuRhZ1MCe+/djrhWhORsiaMWSCsiJJ2faX7vxTrzpFc/HSET1RYaRpQ0hPUgsTO3sYuuhLbA8A2/6+ecIcSE1BSNgYKSKick5jN83gTgKUV1UhVelcgdYc84YrviZC9BGC/tmDuG7N9yAuTRCN1SoDPvYEc7iqesukhpnVLB0gxhBFGPZ8CJcvOYcZJW8Fhwn665fQ33AlSLtU80O2kmAbpqgygRQmNixawIe61AZPqZmO7BsG525CNPNOVx50eX4hYsuyomQrsLdt+/EeGtWJnB1p4qDe2bRTjsIZkJUFOC2Pag2C6gbuPHOu5ExZGNxI1duUZeWADMzHdSGKxjpq6HKek3NDjrVBF+88RZ86rvfEILlonPPQV+fjyptaf0WapYNz7TRprLGs3DO6Aj6bA9138XipctQ9yv49g334+6J/fiZyy9BBQ6Ghiq48qKL8Lo3vRwRVSUthh0YqLQb0qnpWqVt8RevfZaomaj4klppYuFjDUNyAlR15fSETDw5y+UkWPyYub2SxJbNKbDYAKlYI3sW5+mi3IjUWcttnVmS15qj4oT1p5QQILaQPaQbqLKUmoAW6SpD6uOx7p8METNDSEAqxKACGEkE8mc8r3yf0/AkSBHbkaRyironZZ07WgmVqKlkgmz+Tw1A2hJJajBtmgEucSdPyBT7L68hEpu8TkUMR5VjgjQkiUVLZF4nj8tYUkeO1r48SZjHQFDgxcOnipCJqbTt5isjgcV6eBYShhXQimqEYPPIpuZrBArllhffFMIzD+ogOUfbLg/ekuOieodWX9qtmYxLBR6XYVuLGzgKJIVWFHpUy1GpxHWIXI77S+KRqrPcqszUW/ZYuR2xZiKVcKwZJoo+EigueV0hYaRv2MwEEO0hFNWIMRVitByTjLJgURlHkpNnlTUQueKE6t0MVsWCihKYHlVqtGLmhCXVg6QymCostRlpG2e7MFiABeNEBpYTlCFJMQYRMJ2Y/StLkMa5xTkKWlJfUEJkTIaOiLgQbkZbrw35j6ETpiPqTZJDQslJDcBQlIzxvOIxr1GpEIako4gqXN6UqdKi9ThOKASGZSUweT9lw8zT1Ex/NlUbXaooTQN9lVQOIex2couxCVR9hv8kgF/J69WRUGYitXJgWbZcpy4Jc4q+mAptU1mbynXCE01bO6k4psq6tUWwfX4+ltp/tufClrp2VDgCZtxG0E1gmKHU+XNJxGUk5Q14ZgKnkivtbMuHkXbyNOAua7zlScOSxWv4iHkNx1QIdgCGR5CIpLotzJDwXIYMdKEKkX0ukfsb65j6dZJ1ISo+4FYcsaKSjPecGK1uIKpE2nr5u89NpR0iKt8MqrM9VMhN0pJMYprqSRKP8+eJDwJIAPtsVAmvyWAxqGT+XkD1rRJlXUf6kfRjRdszCWb2o7xEQcoulpry0CZhnUFDIeC1YjqoNeqwbV9IYypaRQFs+VC0wPN+wDshuX8ScQhhsbYm6yoy2Ze2WjMn+lnj03Uc2NWKlFhoN0OkbC+qXh2W04As51SrEhZDJSsJYMZ650nkzNxxxX7eiQI4WYqIJQRoP3fc0zV80dA4ZZRJlrLSjRbecuBCmdzqJQVJ3nDi8IvOv8rf/HdBtBFFYAV/+HrxfhmFpbZIai3bgYuae0V9OP5wGa6Dv2nJ7UVRy26hum+F3bZYprc9ypbhXjsxJzZspzJRVbQTibSCkCsTbEUgRa8deiFSrADXX6yjty5hbzJur226IAKLQI5yKEfxuwjKKCsiy/tWKB25HyR8e8k4koW9KbwLtXVB0vYGjpTDWxbC0dSJGhoaZybOpHCLE8Fr8UU8kvD2t/7wlPepl7Bb6Fz1koMnQ4RyfadCnJ62eLooSHD7jq1Am5M2AxbVRjOsG6bwXzfcBjAjgXxIAgRZgOtv/gncfgdRReGC4ZWYCloSYLFicQP7Dk6LDdGlAmEOsOsWJoIuJrcEeNsf/T7+8m8/IIoe1hnKzcbzRAW369r49k234THrN2Djge1YPTqEyXYHlX4H1QCYbrJ2mo3JtIM9O6cxkHnwh3z0b+hHc9+cTPz7x/rRnJvD3HgXS+pD+Mz3/xuzYVdmz83ZfILHmm3VSgWzzS4mm21898a7DhNDs9MdPPNJj8cXx++QZRct78PqlYO4e/t+XLhqALfctBOTk3MYrg1ieMTBgfE5NKcC3NC+H2c3lsBIDfztV78iZsdOGKJOtYbpYHxyGlmDaZec3NoI4gRh3MFAXwPbtx+SlF9OYhsu0xwV1izqx95uR+p20fa0aXwCaYephxZDW9GI54TgoKqob6QKO1BodVJEUYDBwSqC0QjDQz6mOy5q/VTqzcLPPEwGMxhd3Sf211rKOk4m9h5sYsCwsC/I0J4O0JSaWQrnrF6Ge3fvxYqRUSxbNIYBN8JTnv4a/MdXvoU1Y4NoMS3TcrGzPQU7U5httrBpekJSPMM4wU/uux+O56A+VEcrMXD7tq2oDHpY4Q1h3549+OD7/x9edMWV+Lcf/QhRM8aBgwdg9znIAqrTLNy+aScWD/dh8+xBUekxCzXhxJmKM5Fj0epKQigPV2C9OLFdslgdWSkHiDlBt1iPy4LFAAnXkv7O485YrYwNzM+zNpqyYFNtRcUT635luWIwj6jI7Z8i0yK5Q6soQoSZlyfyinJLITbzYvnkbUjESLotCQTTBjWhmZUXnJfaZyEtrBT3ZaICohVZ/qZaLcytbRaTi6lI4vpNXxRYouhi0mtGO2BFaiI6ys7LrFHhRpWikG9cH99nKT7uUG7RpKqH6ZdUfXG9MY+BZIWweHmSbsQJvqK1dN7my9AGzxf1jwTYSL1BStIYXkG9Iy3GrBGZNxFJLpcKPLEKm6LgSVnrjKQOiSAJ5kilJh9JM9fxxWIspDPVcnbOleUCwTRP0hXSlueKaiWhcuR4koj9NQ9dkXReXhfz7Z4oRxI/JY+ZKjpeTEIi0z5N5RtvPbRTMhGYh6NEXSphr20SOrQpCjuGKMpQr9qIUl8CQySI2WDYCGtCkqCN830Td7ghBCGJeQZzkHx1JK3ZhW2S9MyEHI9ZY5L7FZNk8uS8kQomSUKVHjlZKv1MIUwz2QenYsLi+WBXZB0/n2oyqttI2blIoxhmVSHt8Lzy3FDNpsCyp0liw85Ys5CqrbyepVg0WYsyyknTTkxii4m8Vp4szQTVTiSqZsXUXSoaqbhj7bV2CtdLpb1IKLK2JFWtsCoSTuFakQQ+JH5up3XDnPSlItJOHZg21WSu1Fqkcow2UIbBuA4fhvB8x4gl7ZhKTRNRxjp8htTcM8mqeqRCE1j1qiTA8pymVLCSdOM6mFIbp/AllMVFxaNV1ELGvmfnln8qB5mYbDB4g4raNlWOJCkddLtzcg8jGRdnvgToRGEXqdNA3YrQ7YZ5HVAm4vI8xSk6QljyHJMcprKS4Su2KO+suCuq3KjTglWpzwfOGOgaFjyHDwOayEj0WSRPWVMxhFWtAN1OXnuUhDTrOsZKgjmyoCs1M0mc0fAdKQaNJEhJYFeqUkfSswKEzQiVioXUNaGCCkK5RWZy/0s6XdQqLjpJrqatNDxRNZKUb3czNCoMCKkhylqwoxRxJ4ZbdaWEgFSGtD0pCcHrKKYqkdcb+1DYkYCOZL4Ga+TasBOGy9AC/sBi+BoaP20IyULlVol0KyuuctouJ7t+9M6v4Uo8Kyeoetaz89qrJJSil3ArVGGFDRbfOPq+cBLwrmuvwuu/+Vm8Hg9UeJWTYgkfHxGS6oYF1tlrn+0lFYvjfH/pb+4nj4PtURyzkFOvy9fH43sZCav5CdHLME9Q8bWypXU+8IJtVCgK//UoyrRj2Wc5jDiarXbHB/cBL81rKfbWMeS2ilTgYhvlbeXqvZcetZbe/4SqpPLvHTy2Dx4ZECLHOf+aWHo//z/tXfSp8vZFfdjzebZZ0T9e9vEHqiM1NDQ0Hql4NKV/v/0Rqlw8bUo+fptuWH4WvMq8pc3KEPtMQ3SkJlGjXkO93oe67aFq+ZKMWbGqGHUGUB0w4NpV1J0+7J6ehEOFgog3FPyqiUqtglVLFyOpKXznpv9CNsdJXJ5iKQl+RTQnlQlxToCsf+1rpS5agATN2QCHts1i//5ZRGoQv3TZpRIQwfpNk2kAp2ZgaKKa54ymBib3TiOay1MK981N4Z8/+B/wXAfhbIzpnbPzBfENhFEoZCZVZTu370USsPZYHh6ya0cTSwcbuODCIbQmO5icDdGvGrj9zr2iPqrX66LsuXv3ARxszWCkUUXdcLBt3wTS0UgmoFTUVUxbkmezqkJ1tIr9u2cwOxdgpttBtWEiMjJ0ow7++MVPhrIVPMPGQL0fiUMToIIZpdi8cxydNETUjmUyZ1RMuH0WvrDxbvzHpruxfPGAJBj2raxDeSSXMgz5NTQPtDHZDhG2QuzfMyWkQscLUB+uYGZXC50oxtLliyXJlmxx21OwGxbWjo0gNRNUfA+tuRjLB/oBL0afl+B33/4RvOW3Xo4JsYIlqMDFwFADXmLgnOV9uGPbZgwmnEBmuGLdFVi8aBiRSrG40Y+zlo1h6cAQ+usrsH1mErOTEX72iisQSkBAhic+98nwSMx0MhgVWroUbt94B1pULLGO3HxtN7FVik2Xis28VhvDJHJZmSW17oTIsjJRgFGJREJIiBwGnbB4HmukpTZMqRVHmzCte1xFrhCT8AORueUprmS3WbtN0krF8hrnde5gwWUKgPyL9c2Y4km6iytLcxudKNZIWnHCziRgbpuUExU7ee19Z169yGtBkli5Nqpqpf4fa81RmcR94uSYap9cPcdpPY+dvyVohEEJUo/PEnJNrHGsTUh2ngEDJEQlaTTP5RVa2/YlyEJqHVJ1R/uwTRtwfl0yHIVqNwnDiMO8BiGVXFJDjHLVvE5ezmzNp9ByP+TfJN+oEiOhp0TZSnVXxLZju0hohcSFCGEgIcpSb5ApujzOvE6hkG7cGj9HNRsJXUVVJet8MYyCtRJJ2EDCbCSsgsEmyXzIgmjcLEkP5r7y/pPbWElyUSHH654+awrqSMrl9QVpz+UHSDBRfcg6dgFJDrYtba4MHZnPOKbyjw8geONhgq5UH5R4YAaiMD01nH+YkYoqjzbQxPNg0J5Mwtp2oFROgDm8/wa0fbM/0+7KtsgVqqwlyk4jVmxJG2YycIwgYd1GWpAzOA5JIBuOHQlp6CGGSRWon1vcqeh0Kw2YXn58SWwgCvnZWB4qWDxmh33QlzRo3zNh1qnWiuTez4Ab02F4C8sOsFZhBpPhH0ke2ECrd9Jtw+UdnASu74ll1WCtRAk2ieVcWW6KMKLVOBZSLu9PQqcjiyw4mYkoJJGfPxCKwgCepRCICpGxLAlUkJOAURiJTd6o1JF0Qli+g4jEmlJwawxIIfEdoxXS7k3LaiQPsUiIppmD1MpgRiY8I5x/KGAj4r3R9WHF/M7iOSFZz+CKCqqiEGWNxIpY0i3fkzTetNov/ZHrZL3ZLOL3UpwfOwlHo4KYDBvVekzBlkRtFuI0oVyq5qowbF/qR9LRn/Ci6LYBsyrfbzFTs+lWVzwPrDtK+3dVHjQkXhUOOugGLE3BsBuq7A10ZmNkrHdJO3EnRqYCeCbrN7LvmnDqHua6rMVnoUpSOKIyNgKCSIj6bsxrK5T+TyWyP0QVXkpZP6hzFkVpSgeAAQQtIRxN1UHq8XpP4LB8gV2BTyux7yCzfXiWtutqPDJAYqisWOtVvRW48k9ygq+weJaTYUnW8P0CXB9JsUIVRkvpQkTbsVCQVwUJRWKrTEhRWXc0xRcnLb1KszJILJVTeQsU6j6SXFymHEpBArNQ3/V+jsfKYyzve0E0FtbYsj23bG0uXisfC5dle/XWSiwn1xbnqTc0pUzqlY+9sOoW6r2yDbjYfrGeYpkCTMMt2meh1NzCzsvj6rUa8/j5m/2mUPaVP9+rIlnovGg8eu2TGhoapyeh9xOPIuLxtJJ8JNzu3no/ElpJXZGHIGMghm+ir6+K5lQbo6MN1E0H7TqVJwbcuRitqRZ2HpzBeSsWI0YTaStB0I1hVameSBBaGS66cJmoXVYPD+HmH92e2+pyMVRem0v2IFdIyYRZGZj493/FqtElGN8/JzWEaG9yPRvPPG8EG/dNyoc52WZtp6gbYdvU3lyRwwmsbaC+woUzYsOvOXj1m16Ba855PK5cv05sxLTNkeRgoMLisQampjvoW9KHX//116BS9eCP+Lhr61axrd1x00Fc9YSLEKkYT7jsLHimizXrF8OpAE+4eAVMW6Fh1XHeBaugwgzeMgsHppvwKg6uueoxolaaaQeIptlWbTiGjYQ2NsdAlwWTlMJTl6/DPbsmZKLP4ISNO3djbiYQpQwn4a0kktpRNhNbHU+UFiQxM6o8DIXpJMBYfx+yzjxxMuCgG5DMq6I2QGsd0BisSuhHyiL1QU7gnde3CH2ui44RwfddzO7viOX17oMH4NMeaGTwalRrJJiIuvjB1i149a+/EN0gxVDVwy+86Jn4uZc+H0sWnYXEAe7cPo31S5ZiR2scSTPB9zZ+D3PNSNKCZ+c6mOoEmDrUxVxrN1a5Q+jaAb707evx/VtuwfLhEWy87TZ0qimyfguhReukgXqtgomJIH+kOx/QQGWIxBpIuiQpp7zGFNVqrAsnNc2oZpP6cCR784pwkqRK9RDVYBaTWFNkLNxP85o0HcmvnOSNaQ+lqooEE7dnF6RCbhGNmbhKNY0EfXC6SyUexV7RvJ2TRE9O4jH0M5IgAwWvZkvoAhNaXYMplW6efkvlGef9JJMS2sZJPLEWYCJF9U03T64lESThDxbXmYdZsN8zmZREINkkUcGprgROkFSgxZMyXJKfimQCFYtUBrLmntiOJY6E5nGxSnpMnmUyrVj7SGrStpvK9cC2ZT032lMTIT+5z1w3VWxSbX+e/MwkKVSCMdg2Uv8vlvACWoz5qpxDRaVaLKSUSxUmlYC0tPK+IEQs29wSKyLtpVQ7sv3ZJlwnFVVCyMxbcklisg5jFnO/ac+m9Tiv+cf6hqIgi3K7Iz9kK4Ya5Am4PCdSAo6hEkIp5mkqefW03CqcxLYQj0yHpXKN6jneA0gYuSTdqAyUQBO+yWbP+6tUTXPdvCacmch9y2V9zCSR/uVWqX4CvAoDKOZDZdhPk66cIyodJWGZ/Zg1zphQHc+rS132d7ZdXmPQtWln5z0zlAcRVJCFJLFSF3GnBtvO79E8691OJDX26g0XrhOjVvHFkkwRbJxQEcZ6hzx2A0mLKksLSWaLEo6kjitJDiQCASPI20+FBlzFvsPACR+2QyWgVLFEYlJam1uk2V4qITnN68iCV3dgqfnrlom2Psl7ctCuKFirvgm7UpX+6pK8EhkjydQ8/ITXPpV+ksbsuXL/dEhQk9xKXMaBIDVcKX/g8P4vFmgq0mxYSSBJwkEcIk2ZlDyvVI2asLMYMVV1TBdmGrZUSaRqOJI+FQVduCSEaeNlHc2wiTjI5IGVWFYrVPU5iBOqM6nETpk/mweoMGSFSl3Xl7CWZP66klqEVPN2eUwUJpNNUxIA45sJItuBx4cy/C7h/Slsg48P3JAWbj4QoV2WilWFpNNCpeJLe8n5Ev8+SzOEMIIQpuMh7UbwHCqiqXhnvcRUHoCZIv0M4LCGBRN72bYiPnZhVhwYypdr0OpEch+mgJOqRCYXU7HrMfSD9QDjBD5CBAzs6CoYaYK2YuqVhsbDj6J2XEH0kfghIVS2bRbETZHWWk5Z5e+itl6ZLKRNl+DnjpfE24teYq5Mhh2tdmBB/HEfCmtvkcbbiyLJlwRUMakqXivsRcXr/DyPrRzA0btfDDAhMUYiq2ir3hTi8r5T6Ve23PbWreOy5eLkvYo9oiBNC9K1TPqVP1egsOqW1XRlErGsfCzX6uPrT3rG5Yc/Wz7+IqW4qNXIbZSPo2hLgu1TrtFX9LtiP4qfo6kXNU4vHm32SY1HJ9HL++CJBjU8GvBIVdU9HOTlaSP5DM8QZchQtYJqzcPZy8Zw1fkXiFJjthlgw9mrMR7MojpYQ3owQtAMEBopAhVj/9ZJfOU7N2Lf9imx4UodqqlQJhh218K3vnsPdm4/BM9fBIeTJPILnApL8X1h+mQfnviYx8tkfHRgGPfs2oFFdVeUZSQ0RseGhKTZlM7hx3t2Y7CvhkqDBAnJCQsrFw9KPS9vwMLilSOwfUdIk7e89GX4h3f+Fu7dvA0HMYPqgIkNG0Zx5RMuxMDSGpYvHRXVxa7t4/jPb3wVZt3E5Wc9Br/3ul/CroOTeNFzn4CN+3djAFUcbIaoL29geKyKQwfn8MP7t8GtWOhmAX508ybMOREW+wMYtIYQz0W47ta7hFQcHaxLXScquXgsUhaOU9M4QasT4TP33iGqvG4nRKcdy2fSTor9cy0YsyksSZLMUK3YiKjvyxSqVZI9ivNlpKbC3nAOe/dOodI1paB8kCZY4q/Dmv6lsD0TF21Yj6GaD5c1zSi2SCIkKhWFZmzlyk1r0AR8TiyZsOkibSfYPzcJRWIlVqh7ruzz23799YiUwujiEXzpv76Km+64AYsdH4NeH170kldi0K8KMdwYqWGsUYcLH0HQwdyBNpQTw0uHMZHOSArob/7aqzG4ZKkQNO1WmNsWswyN0EW/x5RNJsRKJT0haEg2UCVF8lSCEDirJA0i9flMsWLScil9GpkUopc6VJw4U8k3b8klkcw6XKJ2cfLafiSSue28Rl2uoHJcJrrmmjcJoGDMArMqSPrJG3k6qui5mFajqErL6UC3YkuNN7a/wRp8GZNjSRjRJkhizxHCiKmVVEuxTzAhmNZBsXdSuSVl6RTMmL08mz/mnABiX8polSXRSIaTLmWSnq4Ni3X5mOLJGmii+hOaCiqgrZTV5HLijSuh8DazSJrkakWSyCSQxe5qOEJMM9iB1AavFbnCmYYt0jcTWSgM2rxa0hSllyTP0jtMS6WRp+jG7HhCUlEZJ4XbyE7m+5Xl9mixKgvPz9TjPGzFTPOQDUU7oNTNTGG7JGczCeTgvSRJub+sU8aTn9eFY1gNHy6wvUh85ukkeUCK2JhJBkupQqo955WHEobB9mf9PFp+c7KCQQySNULeyyRZl59T9o+gy7bMVYaybklayWSbkrVAojfJAy9I+KWmK/dA7nNedZA1NSN2OmRRR0Ic+DnaycU6bVE1RSKM6io2Na3iJJNzgpdtzTp/JMlI2JBQMzwXig9NLBO2qCXzpGDHYVvmhC63w37L+nZix00ddIwK0qRLSSBckwq3FHFExo/HltcJ5b7Tbsr9jiVtmnX6anKNUf2W+pYo4Dze61l/MPOQpraUDLDSLrxKTr4zbZjHxNqDzOfgfY81N0lW+q4ScoghGLygvEEXqNVENUZCj8nWYWTIg4DUqsj5pEqXhCXvFRXuiygUHQmMYcqsy9CL/CpDQmIVKexKBZ25GJaTSTCSw6R4EuEkKfldxvRppmGnPJ82PAWEIR/G2JLWy/NB5Sj7nl315Lo3GTRC8s2vSt0/i0nGtOzarpQC4G2HVmBJ1+b1kyToCjc3n2obsE1ocWa4jjX/lKAjis04TpAk1PgxdddApPrEVk81Ljm9UPabTx0cIRrZxk6F9zBHrrluyHbwRY1IcpWtVaPj3rJEUVl1LVET8p5LlS2JZKNeRxgxYITXXUXSkXm/ph3XiiNU+hpih5b6oaxaYJpwkkhKNrg1RxSVJmuIMkma90fWcmR5AZYj0NB4hIEkDH8KW2xu2/wfUomW3cJiuVB9vaKuH3+Xa/Mdi7QpBv+Fpbe8fPG7CJcov0Z8ZPavD/+bJFxBnJXJKH62IP44WSzIOoIEHN8vVIEFWcV94evFOor3i/qD5aCMYntEEThSVsj1oiDr2MbFsr2WWYaJlJOPF0JxHNxm+RxwX4pwkjIhd7T1FMrC8j70KvkKlIlA/pvHUF5P8VOuh1gEmpQt1IVastwexb/53tFq9WloaDwyid7TSRgWxN6xyL0zgaB8NOzzw5noe9pIvixQGPIq2HtgFh5sbDs0hR/cfxeWLBnB2MAwDu6axlJ/FFNJKy/on2WYnu2Iyo71uTiv4MSfKh1OVB53yTpZrhMGaAf5xGvTpo0Ip4JcpSO1/3M5n5SyNxRu3XYn3v9/fwPdaoKhlZfh+ru2Ie4maKysY2y4IpO9fQemMDDoI2h2gHYGv+qg33ewb/s0Fi0dwm9f+1R87u8+j6yd4ZlXno//3LgTH/qH/8SKsWFAyAgbe6amcd45y8Wq1XB8nLPoLDz78Vcg6HYxMDqAfTNb8YkvfA7+ogoiQ7IfMdVuYebADNIwgpHW4bPOWTPAoMu0wkxsVYsG+nD28pU4cGAco33V3G6ogPGpFlrdLmxlIrQTIc8kOKSbGx8rvispowZrFJFooBKDNZY4aaKqrBnB9R384zvfLSouv+LC8aj8onqHPIclicZezUfHFwoJzpI67jtwN5rj00IwJK0ZML+BKb+0FUdxgk4Yo9XM96vLSRoMDCQeLlu9DM9btQE1z4WVGJimAlFlaNgePvgHf4R3/c2H8Ye/9iZ8/NNfwvv/+Dcx3mxLjUBaHj/4kQ8iTCJMdGdhzVJtFKGvfwD7ZmfRP2KjGQQYb+4G82LjioG7770Xz9xwEWaTjhTYt1sZXBJijiHqLY+knetK8rKoPBOJO8itlSS6SM5R5aRysosWOSPmHD3KCU1RlZErY9orCT1h7ESbZUvPy2vQScKo2E/J3eV2WJJCrN1HxoVEENUxJBI9CQylgoosG22uoSjOqG5T86QV+TNRrNqWJIPanNQbKWxRInIZE1Yaw7Yjqd0FK0EURKIWIuFHskRqk1GZmlqIGW5gkgiTyvqiVqNFl4rDPDHUFFUYj0ussGJJnw8OoaIKrgSJ2BVeb7TykuajrTfOST0GezBoQvzDGTLWZGQyLf+zqY4LhYij5TczHCGQaMmk6pGhFyQgqDLkOeK+CV1G9S0ZRLYJ+zOr8LPOnMPQE94rSKbN15Xj6+Sy5om4/B5BMpHEjwvbZZ/n+qn4o72V9l6LzZazaFTeJYFcE0KKKpLluaWbhGmSstaaUGW5kpEkBzWCPB9UZrKNaBunwlF2eT41VFJkQxi0ekpvMRFJcAj7SIgwtOCRvOcBpEDEmo603de8/Dr0qP5LRK3lVHidSxpK/ppDMo/nmILURK6xxKkIAcb7qySiGp7YHYUAFOt0XnOQxDQDXkzWWJP+xgKPVAjGua2dpKHhIg6UkNK5pDQQcpztQyFjXluPClP6l7tC2pLYk7qPDEIhOU1VoZX3f8MOEQgtmSFhnTgSo0aGMFPwmOrLE5h0czLWYD1SBkdQCcvaegmiNr87SPgHZKOkriTtp4molHkckHOcGCaiKK+zl0ZtUnYwUUXaacuxkuSl2pJqXAlUSfLgDCkBAUeuK7Hz0oJu00acyjppM7XiAMxFSVjuUmotBrCpKIzYTjZUYsLoMtQkFYLeI9lIQo03FQmZoJGYARtkb6uSFMx07lDRusyahYwW4blRsDKqJDOESReR1O1kUIcjoTx5CjfPA68BEuYhEuVJeQbag3m9xwkJ9kTs3JSOyz5ZVFaSjPfh+44kglN4n3YD6UcuSVHblaRhq+IJsZcZVSExg1YoSc+iO+6K3xcqcjE720ZqMFs5Rph6Qog2FtURhTEqboqsGeYEpeUL2cfz7ldI9ub3N9YOdY0AIb8bSVuyzxikUFOxN5vhfHCSqK6pgM2T5ZWhST6NRw7Kaq4i2KIIZiA5U1hRaVktB3ScyNP6hYI2yuD2ClKtsHT2klJl0qlMfJGk42f5w/0k6USSqGydLYdLUF1YWGkLQrNAQSSWLasLpbyWScLyfvYeY69F92SJq+I4r/vGj49YT6/ajgRdsU88hrLVtTeJtxcFKUordJmY6yUeuQ9cF38X9t2iHcuqxd7tFGq9sgWXKlHi/JGbjjimci3IhdSXGhoaj07CsJfMWyhM6XRu71jfWw/GLnsmqmff9RAd7+lYr6E4Gz4NeOYrfxbLRxaj30gxtmQx7rh/G+r1AezcuxuDjQbcShXNMEAwMSOTDdtxZLAuk3LTRKNWQ7vbQaPeQP9APwyvjd1bpnIbrlAnnBRw8G/8D6kitrTcYuv7HmpVDxNhE+uWrMBMPIcgihCHCRo1FyFrG9lAe7qLa889D9ubU7h/10G4vo2UtZ64P1mCl136WPxg20bMtGIhDgbtQYwO23jBC1+AT3z2Mxj1lmDHnj1YOrIIdx/Yjg0rluC+e/bgCY9dg0FnDNcdvEPCQvrqDvZsm8Wy5ctgOF0MWg3Ux1zs3DUuNeJMw8KKwUUYHfGxY9sEAitC24kxFgwhMNpYObgYd87twNnOMPrqFWzdP47R/gZ+Mr5PLGUvuehS/GTXVuxoz8H3fczsn5Ugk4E5C02fBA5JjEjUHmNDNbF7jtQ9HBpvomsqjPQPYNnAIO6b2AUzMSQVt5/hGiEL/Zs4vzYId3EfRuuD+NE9mxBUusimY3n/vOWjuH/fFH7/l38B0wc7+PQPvyzkRyW2sH7JEHZNz+AQk3IzYGnfEPbMTuCckUWY5mRVJbjm0svxnetvg1+10G4HqFYbGA+aGIh8+PVBhEkTO2f3Y9CrYbRvDN20i+3792PRyACmZ+YwVOvD5PSMKEatiiO1zUJaPvfTopvBbhiw665MttePLMEOt472THs+eZL9zYARp/N12agKoTWOdfBywkMCJoSsmk/hFXWpJD2IgoYkkqjt5glpKpRYI4xGS6HfhBDIa/mJ4k0Up0XttXn1GAMWqKoj9UPiK837tFiIhavK005JFPDfJKJM1lxjMjAtkGS9SOcYKSxR8oVyXPkexGL3pf1XgkCcDFFswHGoTMqvIVrpbRJohpWn5cr/FCzPEgKF5BbJi/k83Dw8gzQKwzRoHcyohMyTZ6lUYuIyySNJIKVdmDJBEn1MFmVQgiioqECLJe2WlnjWJpQ4WbY8+U6+QfWdyYRZtjXZ1Ly2Xb6PVJZZ8zUBSRJSPZgrJhOpcyjxyaLA4zmhOk6Oig8RSBxydSQKqM4UbpNECUko7gstybwhsu2oyGR5vbw2qMe0E9ZWpMJNaiXmCmIqg30vJ5ciJoSSKCZpKQSptJpYJqmqYz1C1hKkKlCalIq1hCRGVyykVE3KrVgczPMEomVK6ItFIlr6GpNy8+RZm/brlNe4eMzlWISQiZk+HCO1XJhJLIEbohrrxmJvJWntMnyCZJTBe1xFTgGVXymVh/ws6+kxbZVENK8ry4WTJEgsBwaJPhIwPDQq0FJeL4nYc6Weod8HE10RWVIxxvpsoZRAoLjPgcEb0XwICdWWPlVdkTSQqGbjOJAka5JwTFmVmnDCJIbyMYOqQhLZJJapJ+RDDNOFy7ARkssSMtIPS7VEtSbhTXEXvluRmodRaonSUGhd9pGMbB37CrtOBxb6kLFeZpqIRVbuDynrEpqSFC1Rwmw3z0PWYYI1rcE8Fh4g05ap3LThUKXOenS8K9hVIfiTeSLR82wkXVroPZiOgsUAG2SIlCnhQ9y5jBZa1oxkHT7eT+SBTB4YRLWlgShXifZVEB2Yk9qNLjsPa3DaVVHuMWDIoUI0zuAwtIbkfCuA8hwhTtmsUTuUa1P0qxUb3dSCTzWf3FtYQ5MW2lw1bM6vL3MsIAglwIUlIkhoW76PMFYwEhNWNUbc5TkJ0c14jVShqHRkGnVG5Wzex9ifq1aIwGjAiAIZClhuRp5X7jXyuMPhUZGUZZ1IIPVcGK1E7lOpZeDTH/+b0zF80dA4ZRR19haqsUaipSC5qCw73sSrUOKdbO09fq53ewuhUIKVwyoKFJ8th0sUajYSX8W/y8dWJpMWCuko1/zr3a/e14t9K/8uoyC7egNBiv3lNgtrdC+hdzi8o3Rc5VTeMvFX3u5C2ymUciTpyhbc3uV7j6d3uYVeL46zOB9s97JNe6FjK/atdxl+/tFqW9PQ0FiY6Ct/x5SJvxMh/TQeemXd6VrvidqvT5+Sr5vg4Ow47tq+H4O1Gg7tm8H2LTtBgcviRYO4aMMKRK22EHxSM4tph6z749hiu2RSo+866LRamA6msG+iKevNC/LnZENe7H+e9hPvY1GPj4sYGF22CHZsYkmjgedc8WR0mxFQNcU+NTPRxtx4B41aBVunD4FikL6qi8FqBUODdfQnDFowcN2+TXjhU67GQKWC2FVYt2459s42ccVFl+MPXvPbaKdTWDa6GBu3bcMbX/A87Ng5Dn+kitv37cN37r8VjmmhfaCLQ9MtuK6LPXv24sC+Geydm8TFq89D7CmsHV4Mr26jUktx873bUO8fQRYYWGKvgB+FSC3WMqzguevPxQVrx6hHwWCtiojWJptJogpfvfduPGbZCphdA3P7ZkXBUnPq6Ftah2uy7hWLpltY2l9Dux0LbdBsx2iRIMpMXHPxZbh/83ZUmKJKO61no8vabbRKhxE2J3P40c0bcfN92/D0xz4GVyw7B6vGlmGxX8NkQoVJio9+6Wbsm96Day+9HFGWoK/m4cf792Bfi4XbI7TnQmw5dAArKg3MhF2MjQzJhP5HGzdh9+wcNm8dxwXnXIi2yZReB2PLl2K8uRcxiZbExLq+UewZP4jdBw+hz6+iZg+iUvcwGbbwhLPX4mnnnYN2u4vJ8RZUM0aVBFXVgBPYyGYydLosqK/gN2rzgRh5Tb68GNp8P6KCToiSPOCCwRhC3EnWK0UrrLVG8oakS16/j6oSCeqgpZXWaKqQpNZcTgRSgVcxaY+cj8A1XCHsREvosCYbpTMk7UgUURFFgo9qHKqv8uAJVmETy6YoxbisBYNKHJbNE5cwt5kHQ7DGF+vy0b4pKkJJ5iQZxGlygjikaimv9UcSinXXWHNM0i+5L5J3EQvJQuJRQii4n4lEt0jb0XpH9ZdFcosKPEkjJnmWk3vso1SjSl06IbRIzhhCEijTlQl7QgIp5wlzkk1swvOJvDwFJCZdT2q1kWRj/yWRL6X6XKozGXxiQtH6STWZEG8Ms7Dhsk4ayVum8JIJkxqDORlnUFEo+5urEUmekGSV4AmJ3mW4Bn/ywAQ5lxUXtYYlREiWMjSDpBctiOQa89p9JB1EbSm189gncms2a+dxv0w+OBCLcZ4wm5HposU3zqTeKIlKKi5t9i96JUmW8p5IQVvMlFcSTTnJKgm5ViKKM9bvo8JJTODysIMKwgRxxHsrw1UsqWHm1frEfpx2Q1ScVGyirJdIBaTrs72oTOvAs0NJQeXJ4bmSWodGIqUE2GYMxaDC0IgjJLRfI5b0Z1NEfTFCkuMhFZZebikPaIfPJAW1G+b2UhKJjqgdbbhenlBCkor3Kb9KQjBBrBik4CKOeB4UPNNE1aOmk9S7Kw8fSMYlCa8OR5J7WTvTFJKXhFwMOzPgoZnXAvQrsFUAOFUESYqIJD3rVMJCJIpeGxTyMbwD3DbPsdjcc0s2SWpe+1LX0WYwBus6MiijLm0MWvLn7yW8MGn7VZYn1zXrDpKszOwBKCuF0Nwxbbe0NjPRnHZ0B8pmCQUSoQY81vikCtuvwHHZlgrK9WA4rvwt9TypDFWRJODGcBEdaub1Nw1D7LdJRit4CqPiw+M9i+UEzPwhhREpWFVTlOXsd1Rbkryj0plhQt2ICbZUBNIenytoeQ2zbisfSqm0Q8OtJEaHVNdT3MnryXNyrp7fOUZHvltJBsa2Cc93YSMA/5coFx3eH6kQ7VJVaCJIrTygg33PZroxrfi0QTOwS8GJA7HnmzXazj0gSGE4eZ9gaQYNjUcKCnKGA/TyIL2wqJ7IJKusnjsZ9JJLvdbV3ppxCwVO9Np8CyKsrBjrJfi4LGv6FcrFhWrelVVxRXgE1W9lgquX0FsoDCRPkP1z2V5xjMW2uM5CibeQ8q9cO4/HVVY69lpwi1CQoj0W2j9RLH7gLw4HZZTbttivsr22TO6VFXvc7+K9cjsV7VuuRVjsZ6Ge7G3r8vnW0ND434Uy6VPYdPmdczLk3um0wh5NhXY6VW8nu653feAqvBZfPC3bfqgeoJTX+8hS8r3kZyWB06h7WDm6CM2kBSPKML23LTbSetXD6sEh3Lp5u3CLnOiLsskw4Q9VcdbSxdh497Y8YZMaGMVJOd+mJStP3ZQQvvn3yv8mmWYuNtGZDHJ1lFJCCs0ZnCinYmsVeZACKg0fP7P2YvQ5BnajiXu3bcXcoQ4GRqsYqdSxsjKE29u7YQUmhq0KKrUaDrZnMdGdg5rKsHxxPxYNDeHAwUnsmp6VYBGSHUtG+zBSG8Cdm3fK5NXwuQ8VHNoym6uPshRPuvISvP61v4A3vvNPgcDEi6+5EtffuQXnLKthLraw58ABTIctVC0HduDi3NUDmJ4NMOi5mAwjHJpoYvvsJKqjFaw0+/G4dctQMWx87LqbpX5dZzxE/1AFQRgLgdBNMpy7dgW2btk7X8eQ9ZMcTHU6eOcv/wL+7mvfw1wwiyXVPmydO4QBz0GXk+FOhi7VV0EGd9DFmrHlqHkJbr9nN85euwJxCDStJqb3zmDtulW4ePES/Oedt6JmeGinARYN17H7wIzUFKsZDjphhMGlDTidEPXGCLbu248nX/wYmFaMX7n2ifj7H96D2em9WDK4GOFcgvum92BqZiqvfxaZmE7aGF3azxklOnNtxErh3IFF2NGewMxcKBNMWvcGDR8YMCTAhFbGZYP9iDopnvWUK/DR790t9bbyYBZ2M9ayow2TE3kSIzmXbHEySyYnDcWCBzNPf2XCaMYacVKDzxI1kpBBXn5uKeeSunlpngibT8ap8mG/y4ltTklJOpIYJEEnJACzU8SaSjtjTqgJCSXXRpJPcKmgSjowbE+2KUq9jLUpMyGdhKxkxoZrwablVpRurKlGcR8n7PF8iEhuZ2StLRH9iFCOxfqV/FtERDZzeZneSsWXjZhEH/knHhs3QtJSkn0lBkFqc0k6LQM9JLhinmhzc0Wf0MaGQhCGMFJLAmVyxV5ht6RlMw8NIaEiQQgk61gnTsWihqMqkCXwaIcF02NZ05BkpVit80cVVKzKOWV4iZAuXCflgXk9RllBZiOmOspgEAPPX04CCnlrMWyGcQYKru2IZdymioj9gwEdTIN1bSGUopiqOKrA+B4Jcg9ZEsIyXXS7VI9xP+fJLZKuop6zkDEogaEnYg/OLcm0k1NplVokf1nzMbeSKqrzGOwQxfCcvP+JlTtLJDGX9nISxaliSrgttnaSmVT4mRntyFRXuaLcE+45ZPDGPDE635654jAnkkkGsRaaKBZjhiNQecaQkkjIFcVUZyo7M9btY5YCjbe21IukwpGEp1ix2+yvVJmxHluKWr2GqNnOa6qR8GTtTodktY+Y9e9YL85yUK16iLtUVPP6qbH+gygFqSmzElphqcCkhz0S0ir1arCiZm6Rp3rToMlV5amyTGaGJwpPkt0WQmSGD8u1ELZzxStDb4QkorCS8j+SgxbTt0m0cX0+fCsSRSnvYwyzoBaO/TTmNSLK0VxdqbotJFSpsr4eFZZOHxRrI7IMgEvCPQ+86bYCqXtn+wai1IHJ+pBpBK9SlXsalaAsp6AcPsjpwqAyjvUGSexL7VkSnLlKk3ZfUQEzBZkcGfuP6ogtOY5DuEz75sMb1rQUCj4vTZAZNhySohRPuo5YkBmCZXN7rpeT1nRqO7Sks55hruzOSDiaHrLYQBo3RWkntSXnayFS0UkrrglfHjgYViy2ZIavVGp0ekdIxXbtIGqmqLB6hlUVqz6JXs9k4rGPmqfQ6jJNN85DdBym+QZw+5h4HMH1DHS7BsWXYAnTf/qHj5+O4YuGximjSMQtVGKFtbVQlrFuGomlhSYFhdLtwUwYesmtYl96yZ5etSHJMoY8lNVuvaq6XhXbQoRU8XqvRbisRiwmK4V6rlANHk0BV95H2mCLbfYeQ/Fa0dbl7fe2SYHfWHmtKPDKij6Cf/eGm5RDLsoqwqLWYvH5cnst1O69KkA5zrf+jhCFZSy0jl4SsrwPR9vO4dTmt/7Ooy4tUkPj0QqSbKfDstur5tMqvkef+u+nruRbvqwfa0aXA50InWYbcZPKCAeO6UnyYpREuOi8lWgMD+TKAkkABPprdVEmbdu6Q9QvMt/Kq8ELMcXC7Xm6Zq5oUof3OidrCCYcjlgD+PlrrsUlF5+NZ139DNTdKi5auhS27cBf4mLV6CCWjNYxVPFw28F7cO/BcWzZtA2XjK7D5eeeiyWVpdizdwZRmGKlGsLkTAf3j0/g4MQkVoyNSg27ZWsGcTBuY3KihblqjCvPOxfrhheh361gxdBSzDZnhcCo8bg7ptSPq9WqWLKigcaqKmajDn7jHW/HNRdcjuXLh3D7ji14+ROvxo837sDN99yN8clprF66VIrDkyR6xjUvRSuO8N1tO+CbJi4/b6lYt0S9Qp4pMfDD+3eKumduqoOUai7W6qLaRSZfwGXnbMgJVQrKDIW5MBQFDxVRE+1x2JGJJiMRWCOxHWH2QFc+SyJn3crFQg44S4B9QRNPv+oKBG0W9o/RnJjDono/5iZm8IO775PUXaawctLPSbkkvbomBkfqUBUDYTfCstF12D51QGyiu2b2YPehQ3jd+z+GtBVg9bLz8ObfeidmOy3MzQWYm+yg1Q0wF7YluVfNpbhkdCnWL9sgVrq79uxDeybGM5/wOHAuOmj6ZH4QBgmMDut5RTgwOSthGwNVFr/PJ7k52Lc4mecE18lJFyF88pplWcQ0Xqqy8tp0UntKUc1CUotsKa2NJIZy8ogqL7GTkxCyqFDJCRQmoEr9P5IQmSMWvDwtlu1LFRnPY247F2KbCjam/EoZvwSWolKQ7yd5+ENGiybtvyQiuf28zh+3TWsdAyypVKOYLrOoD8qQRIlMwiU1lEEHLLrPslucxFM5lCm4lKuRzCR5F7GeGyfrVArmYQIkbKi0lZTWiPtCGyebUWgVqRNGBSKJVQYqsGZeFjF0gURIbhEmEe/6TCzNLbhUerGNaJkkocRtS7U2kpy5dk3OFK2pVA+KsdlkDa48dKOwUfOz0gLk8yRcghTlfG1KKuTIS1FtSCKXpKiojWJEFI2RGBRG0Je6gpKETHWSYtgJwxm4F3kwB68pybxhaIQU/2OtRx/KoB05JzfjJILP2nAqlfsI1Z8k0Fh7MUpjmFEsqsM88CJ/QCHhC/PqTVpHuUXajl2SMcyxYd1GqlBJLM/btg2SjGwny4LN+oYUyPm+3KNYgy+hNdSy0SWhxXtqouBW/LxVqfbMmAKbW00di/ZoE7FZYSyypO6SuKTqkApRqelnushMX4I/EhWiE+RZyhbrwUWRhEKQ0FPtBMpiKQLafR04JE7bCSzXFgLZcNkX2fZ5uIjnedKWDtWNYZynvPJcpx0hSWmtVWGu0mMtTFsIOFPqqLLOYYoqLKpWXda5tKHcqoTkiDDUaFMaKiUaSPDRShp1Ilg2E2WNvHadyaTkvL4difmEZC6twwysSSJ0u5EkUtOaS3urqOqoxiRZzdp/3RAq7CLxfSHCfC+/fwhxybRdWwlJm8QR0qADh1ZedvIog0nFYJxJPUapHclUXNZmZd9h8AY7o+NKnVEJ/nEYRmLC8S1USPCJtJOEG/sBHxyQb/MkdMd3qXp0YEW09uffmTwXll2BwVp9TkWU4vyusnkfozLUtpHwPmeYcGoVqZvJOpWWlSfn0losKbmqBdfrg8NanbQl85pi/yW5SjWoEch9UlK5lSP1JXkt8KYTt5hKDNT6qGZld4zg+bmi3+Jx0ebNB0tC1ntwatU8rIXqR6k3mj8UIdnsSAB1Xi9VQ+PhRBGSQIKlXPeOA/pyKu5CKolC8fVgUa6PV9SFKwc4FARkQSLxN8kz1nYrK/+Kf/eGYZSJJn622M7R7LNEEdTBn6JWX7GfRSBHUb+wvK0yyqEURwO3V9h0y7XpFlpfGTwv5f0uT67LFuTieMu19ggSfDwO/s3f5aTfXoVguT5esc4P7/rmUY+nvB6iUBMW56ZMFvZ+Tiv5NDTOTDzYenMLKfc0wXckHsp6gcfDw1E+4bSRfKP1ZQhVhGc/8SkY6KuiQntltQJvyMGi4X4M1Qdhm1UE0628eDw1EJxYuBbGhvqweKBfJtMykc3L9eeKPVFY5XbdXN3Hibxo+LBu5RKsWbNYFDyNKMO3rvsxwlaCW27+AS56zAYcbM7KRNQITOxvzolFq6NirBpagz3ju+FaA7hrzw6ZWLkOayQZuK99ELuzaSyuVtFfq2LR6jFs270PY50a/I6BgbCCA5hFcCjC3r3jODTVxGwcYNOWbXASYLhaR2okaM+GSLop+pb7aBkRnrD+AvTVbSwZHsZ//fgmHDgwgbOXnIMPfv4zMFUFl521ATP7u+hOtZAsdrG9eRAf+OyHsWt6GhcsGsNsN8Rnb7gLtREf8UyE7ckMYjvBdNDFleesQc2jZS/DTKeLgZqP5Y1RUdY4ovjKCZDRRXXUaWWsmJKIuX5gEJ1ahJnmHMyKA6uj4DaYeJjCSUzsGB9HX8PD1Ssfg9m9Lew4uB2jgzXsC6fRX/MRejHaSYzZVhvLFi9C3I4xWGtgYrKb14NzMxyam5VU4Ksv+hlceOEyPPVxl+KKlefiQHdWFJKmWcHN92/EHZvukT5x8313I7I6UuD9uU+8HH7dRdiKMD7RxMbWIWzdtgUqVhgYruM1L7wW92/ajorjiVIqCmLYbRKKoRAvE802ZtqM6MhTRqmSk8AHYZKFGpNtipJH6jwKuyliUpJf4vqUunp5xClJCE5IOfFngfw8xIAqQE7OuQzVcLbYn0XlQ+JrXo0i9tGIiR7cVibWUyr3WNuOyjcSblLbK0vhMAjFoRIqV+wRVKVRtWQK4UKVEomT+TRRqnRs9t9c4coABIZqcLKd187LSRlJ9BXLLNvByZOIxTrP7TDBUgmpkBOCXs4pUUYUZbCZtkqC0c6tq1QEkfXKpG4blbkmjJRE2nzwBQk3qVfGQ2U7UXVHkosSovnUYtZqY5vRBmuRzKNNmSRgXoOPpLEBJyfvmHLLaBfWaqMCzGSYB4NSaPnNcoWU7Hea174Ti2FujaUVVezQbq704rl1XNpWWXaRxGk3JwQTEq8kTTypr2aTdGKqLElx1i+kKng+iZj1yHgqed6lTpqQvMJ8wpb7CVNP+ZSCNehIUDJUg+eU5CsVgDmxa9iuKAS5HNud+y39lMSu1BykEJL3kq6QQexbDPGI2D5sZTkHJD5pc4aoNLkc+59DO6mQxAa67ZykpfWTpC83yT6UK6logY5gdCM4HgmWPOSAt12lAoRd1rCjss6WPlt1Mii3Io71vH4eiedM6u6ZqSSkIOJ5mU9wDknWkSSnTpKKOd+XII6QimPbkbRVpu+yrqIoS0WQyUpxoRwX78sWc22ltqKFTrsjgRbIIgluMGhV5qUV5opVtklEksky4M73kYrPzkw9G69p2rF9SY42Mw8hFZymhyQM0D/QJ2Q7r1m/UhUVZ0wij0TuvILcszJEnaZ8FyVJKK+zLwZRKPtu2DGM/oZcI1SuphmJX4Zg56QXLcH5LYUpug5PGtKwK4m/rKxXdRgIk0ldvyhQcJw8hVYxQpfqWNrH51PW+V1IjjAmiSkPGxh/ketsWafPYehQlte/DbhOS8FnrVbeW7w6kEawmb4eRaL2I+lLul2+Z6mS5HVAm3SnI0pFpWyERjN/kEHhbWYK+Us1o5n150Rc1BJrM8l9k2pl7iNr6lV9KdfBq5zWf6ovo4QBQUzYppI1V+cybdgm8RjTxpwhMatS1oM2YaYby70gi+FX5mPQNTQeRhTkT5kIIgq7ZlG/rXcCR2KqN7jiRFEEZZS3X2yTIIlE0qlsiy2WLf4mMVWo5IrP8LWCvCteK1tWqawrhzuUj7PXVlskzpaTagu7amGZLdZLJV6xX4VVtqz042skJLne8vGU97VMVJYJtjLhVibNivCK4rOFEpD7z+1RqVcQa8X+FIRfEYJBorAgcos0ZaIg/I5Q1c33hfL75WPptesWyryCRCwrJYv1HC19uFj2la99ywK9R0NDQ+ORjZOxDp/Msm9/iOronernTuSzD4aYPG123Zf/4nPQzDKcO7QSm2b2ykQpYWF+KpKqvhQuz5oJEifDkx77eHz/hpswtnIpltdGcevWO5AF+QQ6Nx/m1kmq93LFXj4hnq9Yn6dfGiaedOXluO7Gm2Vit3bdGlQcB+12B3HWwcHpliiKjCpLBRWKndyCyNWZ3RSdKMVYpY7B4WHMdqewa2pWbJdPuHg9Nv5kB2bNCPXMxobzl+OOrTux0h7CyFAdP9qzNSclYirucgLm7LFh7JlkKEQVWw5MIg0S1Jb6Qnw0ar4URbeVAzexcEBNo92O8PZf+hV88HP/gpVLhrDj0DjOWbQCW/bvF2Xi0r5R3L1pO8678HxMWFPAniYuWbcMy845F/s2b8aNE9tw2cgy/Hj7PrTbTO/kBJpKyFSsymzKsC/BE5aci+s33yNpvKONOiZnWxgarOHZV16Ff/raf4sKcKhSxZTZwc+cfSmuv+t2eJYvE6q0HWP4shFYM/j/2XsPMEuu+sz7rVx1Y+cwOY9GGo2yUCJJCJGDiSYajJcFJ2ycdm32s429a3/G3jW2ZRvwYsDkZJNBYECghFAcpdHkmZ7umc7dN1Wu73n/5xZf+boHEB4kgfvwDK3uvqHq1Kmaqd99g6h0KraGuVKKpKGC6NdVh7DvxCQuWrcBt80cwRevfxeuffPrkTZ4yFS77LYNwxgoe4DZhzuO3AczM/GUSy7CofnjmJ5exvLJJlzdxug6BxMzVLsQjhnYvKYfJWMADy0fxlitH3OdZVHjMDtxoeLDYrtqpmG0VMbyyTamp5oYGakgbCWAk6KTRNgy0odWnOENz30m/vJf71bKG7bs8qaVN5ti2SXkIRQhMuEcUoVCk6kKuZcCCskCoyJNtbiKNZcwhtBNbrIVQOBQ3bgEUrKKpQBFvqNdlkUCWrfBN+Ux41pUajraa1M9FGUWW5WZ3Sf2WKqMCJQIgAg1YMIy2Jqqct4IkEDrqQTg88ZZ3f0zs05l5GmSKSYiQiq0+JJUAAlQS6HRstcOoVseLCuB34rEaitrSQIadegMu099gQsszCDQUR2p6ibfZm4at4Ov247EVWtIsQ4hE8tNFERl9BZnmemIUr4hDabShiEAQUotpOWVcjnOnSE5lNwlqS1hxiDfg9ive9UilKOKSVSHBHnMOSS4614tpPtCF0wLUwCBUtqJBZNIxDDE2sr9ZRahWLOZjcjMPIvgjrDXFFs0m4ipHlJ2YikpFkUabY+iBqX9mxAwDEQ5x3nn+hBoJVmAqs+Fa4XCSdlKKYpQbcGZVP124TC3w2ReWbfAhU/W2XeQwaVF2zaQ+MzdTKTogUeEQFAU0pxGKUHVyM5gEyxxXXGeWIZicR1QlcfmXRYeECwS/nEta0jZfEtVn6ge+WFM16KtmQJ1ZRdo2QWt3aRrmswRVdPM01OXbWbIhQL2dD1FGNBTT1VgomAxbcJse84MeEaCKGYBhw7bY1Yh5y4ShV/G3ESqR11LWqYti8ozFlFQUcniB+4ouSRz/AzEPm3wVPTqcDxCX06DCwTLAuAtWqajDG6F1v8IOi3uzAAlDOPfVwL1qFYm9FblKhYVm2kosI4gWf5KYham2KAJj1OEYYJKyQB3k8eEkI2KZVqZqeT0fda46DAcXqM1gahxkMAhILc1xJonQM1HhpKu1iLBHE8PFkKZpock9MVuTeVnTICq60Tx6kMLnktxjKTkIuY5qGtwed5YMYIOczITRCnhrs4FgaQVwHENBFRqxh2kbhl6py1QnSrPkhMj1Wnn5XXFQpKwrZhXtgiBHwjEDkNGHbjQTdU+bNnqvM6o4LWY+ccGZR1RJ4BTqyOOO6JSjwhfWSji0k5sIWonSA1ma1Zh6gGS2Eeil2AkPsIkhmtq6MSAW3Lk73oqOv0uEP7QP77rTPzzZXWsjv+wXTcvOshhEQdBEQFQ3qab23V4U5KDru/XtPvD2H6KNwBFu+dK8Kf4u16rbK4O64VNvbBtpcKOYk4f96e3PZcjbxim2pENs1SyrfT6+TzmbcHFwo98e09nWc3H9yvoKFqL+V65JTjPFcxhbL4Pp7MUF4tOVtqeohow/3muYuQc9GYH9tpti+9HKJhvY++x5HwX11zxvVftuqtjdayOn2QL8k+79fbyH3F+HnW77rOe9QzYfRYO+pPQWxnSZoqq4cJxSnBYUBDxhp+OnwQ33nQrXnDtU/HEXTsxOuqiv99Df61ftYuKLVfl7VXKqmRCVFjdkg2lUQA8tw/ffTD/BDTD4cNHUerTML20jAVm+BBqeC4MtpZKJJ+OSmrDb8bIGgmuPPsCrB2pY95vYc2WYezZvBlJK8Gm0TFMTDcQMQBdA5biAHWnH8Nw8cCRCcwuNqD7Gkqag6HhKsar/RjsH8DJJMK68T7ETgq3zjpOoGLxBgpYnm3B1mo4ubgotuVN1hD29I/j8NQDcqO/c9O5WJjuYHLuJCLaSFmSoTdglE1cft5mVJsaloMQD03P4vZbb8Xk7DIaJ0J8857DuGTdOPasHceGWlVAS8l24JSBK3efAweONBoOmi52jw3j0t27cd6e7WgkAT7/jVtRcWip07HQ8OFEBg4emILRTJEGIZKKjv5zR1CeM9DOAvhpiJMp87BMuMNVyTucac+KPeyW6YNI2zGe9Su/gDGrKsrI6npa24CKY+PYqSUsNGblJndNbRBfu+V2hPMptCCCU8mw57yNWFgOsa40inKphrG1azG73MHeqQOIjQzH52fRTiJ2MmK20ZSSkmAhlvD3qVNLoopjJmJAhZEFuBUHpcGSQFzCQI8328xIk5LmbuNqnvnYbWiOxT6pYDJVegQ9zOEi3WExBxVzAvikYIEqMEKQUEAR7ZXdl1WwkMqUWIfFXLOu1VcEbgzCEutcJPY+UUBRwSe9HyE0fk+ox/cmVMmoUCKUVKF7bNQ1dJYvqCw2ZsJJOL7uSDA+b/S7gkJl8Yy6eXQ6IRDtc2w5ZTEFoQgbdkVeJmAtS33JHyOoYZeA4PTMFgiYMaRLpxKQOWZkWUopRuMpgRUBHd9JABCtmWC2F1VxIVJRV1ExRxUa31+1AtPKSFAqNmkBlORrhEgESASlKaI0hEmAJoUWBDvM76MFlypEItmugkw6AmRrpASEwI37Kse2m/FHkzTnlTmJUkJgElrwgwVCqwwOyRkVhLRWEvARwEYsxlDqT4IVaRemAlOKQdV1KmMDK9dP5MOn0orvy2wzKjhpzTUNGFTrsVmV4JT7TpWb9HEYsq/ywYXOua9K4QyzHfleSRwIoNN4UEWOG8OWHEJd5ckRlLmOzD2vm1xP3BjL48/4hzZt5tmRyLURxhEiwtaENmpLQI3MhWbBcZirJl5lsf0SEFI9RSVWJOUZSoUnTdBsbA25Fgioed7QSk6bOW2Z/G8C1Y4UMRDmUTHnlS04bJLl9jPfjfOXleSaILZux4IralZacxWMpXk5IlDiNU1yA1WeZaIrC3QcGhJZwAVARVgUm9Bo29dZXMESG9bWEsgGcFmRTCs1MxE9C34rhOVaAjxtfggFiPJclG0GYZhqXWbWpMjuuud3kBF4xRJLwGNHyzzXju1aCIIAMZV2IhHlsxgTkCBkSYtJhRsbaQmxA8BIxN5rEHD6AbTOkhSrlFhYwXmNEsl2TDIXrDrhuUwLa2pYsG0uHRcWG4VNS1qzBWYSrNGCa+mihuOpHUQOQtNE4lRFVSgf/rR82DbVlQb0uA2LcQhtX8o/CP9tK0OQegLgmN/HD8ks2pnjCB7XMzMRdVsabs0yFYOpxD5kfoIoMKD7DbiaBs+tIk102K6BiDmlgYYOz/UoQTOxEbZjiSWQshECaLODVItguFWZFxaJuFVeZzX5oEFauqmitEyB6C7VnKtjdTzGI1ddERZxELrwTy/g48jhVQ6uTgfieqFN7yjCnvxGIwdXeV5cPgiu8lG0eRbLJYo5eb2DrcBXPvj/Q7scROX7navb8nKL4uN6LaTcbwFYf/6Of6fAK1qJ8/0nDOP+9cK6okqyqIQsqtzykasFex+Xz0FuCebr/vHvXP7v4F4+T/nI1ZH5vhfLQIqvnT+3qPTk90VLd75N+Vcet3z/ciUm/3Ab85/1gs3etVJUKK6O1bE6VsdjOX4aAd+ZVAT+uOfnjEG+z3zuq4iXKRsBXNeFbZsIggRDfVU0Fzpo+225ObJNA4P9fZiZWkYby7h77wOYX2xjsTEvN9xUNvGf7iMjI9h61nbsOmsNEipoNA3nbdmANRv64dXK0N0GaqU+FQieAmP1Chan2oAZop36dNuhvdSAZ3oYqY6iQgBS1vDuf/xbaDUdX3vwLvh+gB0bBnHjt+/EJ7/+HQytKWMx66AOC4PrygJDrn7yufjsV76NA8dmJZR8anoabp+Dsb5BdJZ5Q19CrVbD2r5RNEJDFITV1MKTrtmDxaUmhuuDqNYcGFEHRgTUXQ+LjYbAho984TYsN1r4+A1fQLVu46w1O1B1bfhpgoGyi6HxEr5770OSXbdt4yiGav3o+AlcT8OLrzgHOzYN45uHj2JuuY2ZRgcDVVfAl61XcNvR+6FNh5jqzIpVbL5j4ks33oLbbn8QrcUQs+kiJo8uIkwyPGXPOaKM0e0Uv/zqVwjACJdDzB6ew0RzAZiJkZVM6EEqN1ozh2ehBRoG+2qw/bJYvOgUC1sxTnYasMo6amzSNIF7j01iurUE11WWsaOzJ6lFw8DAgCi7XMvD/SePyw3zvDGHrB1Lc2cQJxitV5BO09rIZaUjnWd+WYJwJhQrdNYC/FaMmcVlaYrdUOlD5mawHQPtmZYUJ/CGvd5XUaC4m2lGikXFkhRcUBHS7WWh4khUc5JNxZOD0IQ3oIQe5IMstGDLKkPhqWAyRadH8EkbJd8jFLcjSwJUiS8RAQEW/48qsyhS4I8Aw2LeVqSy+jS2cVKUxJtpqtMMlVnHNcib4BQWgihUpQAxLaHKtkmwy2IN3ngL3JM8QOZckct50M0QliTzc2+oYtMQENoQpnOnadJjYQ4baJnvxeZUQhTa9vgaBB3CGFWOZmrQTszCDGnjEAunFIxktuR7EdLw+QRaUkrAzDzhol3Qymw6QjixBSpyQssqwTC/JZSiWocqJb421VVaohS9nG0eL+anUdkogFVssbFkUXIG5IgQ5HFNalResc20Ox8EQClD/bkdhGq0IEffs45yTTA/jgUNVC3BLKkwS37AQAtsNzNQcJ80mlrdtuZY7L1urSTbI6BN3oPNvolYj5lFx2VE1y9hCq9b0tfCbMI4kG2HvwiDtvluQQKBKNVzmUVrKXMMmT/nwHSBiLltVIXGKstOrJNsQuUa4NqkhZkK1G4ba0zVMXeJYAcsD4kRB4E01IakQRrbXokLufYJJzXEXMxUtzksLCGJJvhyBQSSypgG9yMWCzbPGbFdk0g7muSGUsVFWzMz7MJMQxj5srYdxmdKaVIIm8fd0OC3EsSkVwnzDLkPVAsbsNwq/FiXEhBac/lMNrfydTSLNvIUWeTD4QcqXGuWyhukZFIniGftLwGkpsGhndh1oMMW6zqzPbndvk+IpmG5xcxAHT6PrW3Bpo2e2xOnMJwSbDuDY7CQRRWBpEEK22UruQZDLP8WTItzZ8J0HVhZgJA26TBB2OnI9jkareYlaAnXjrLYMh/PrLqyjNiKzEIOQs40CWAkbaVmlHWYKLVfRtWkUkRKARDXScoG7RRGksDxbLEFC/hHApuqYb8h1mxCcOkNSljwEoqymddQi9CMl7AuyNep8GRGHiWhvC56tnzI0I6ZI5mKNZpzlbbbkh2a2i24dRuOTfBcQ6jZCJvL0KhSTGwY/EDBYjevKgRxvASWXUbIkhDmX1I93mwL5A/9NnQWDllAJ7ARmyZKUrjD4hlHWfz9hoLqq2N1PMYjh2u9+XEEWj9IpXc6JRqhT1Ghx//O8+16oU7+uCJcynMACZhyqJTbWPPtze2vuTU1B345IOxV9eWgL88fzEdvUy63JweBvUUZxTnL37vXWlu02/IxfL3iaxThYv5axZGDtzwvL39M/p78PcFl/lrFQg7mV+XW3fx1ispFfuVxzi3G+WCBSe92nO77HKoW96Fog87nga/JUbQB5z/rbdYt2nfzx6yO1bE6VsdP0ziT7b//WcYZg3yNoINUTxBMRpLx1u4Eomw4eoyfKtH2RBUHrUaJqKxq4w5++c3/E6964XPxmmc+D4PD/bhsz07VLgpgqbOMcHYeC0EgVq81/XUcO3kKy6caQJnKiD6cWpqG7hjo2zGEU40OHp4/gdf+7MtRofWqnsGuG5hZWMTS0kkEaYqkGeF3fuXXYHRo5www1WzBMOtIzRRen4vlZgA9CrFv4Tjm5jqS5XbrXQcxsLYGz7XwnCftwac/ewP+5Lf+CJs3bsaurduwvNzEVU+8FmNrx2AyPLzmIKlomDi0DH8+w/6DE5hf7ki2HPefRRoTaODek5OIS0rRUh8oYXCsjntOHkY7AdwOcOjUAhoJFV8J6jVP1EQs9njKuRulXOLSy56OBSoyMh0dO0Jks1QhQ4lZU6mG1kKI/jEPVqqjtexjoTWDkmtisOxh3UBVtuX1/+VFMJMUk3NNjFp1HJk6gT/753+CXtbg8maV9lLdQLuSotRXQVzSsbjUgVHRYDYSnJpr4+de8wxcft4ubB8aE5Xc+voQdo+uRyuMJSRedzUpdjh+cl4VaGQaRmp1HDi8H5s3bBBVB6HB2FCf3LgnXoZGwMB7DUstHwGVN3VDbGxan46srBolrVELlkY1GXDe2HpEaYzjx2aVGTQB1oz0y00w7XWi2hOoRTuramzmzazScFFJpxRlVGsxK02JprpWbL4ioZXkvNFqR9utOnV4Y0+FFu3VtGlymwlFqLQT6CaFCZyWRB5HiCTxfLLGaf8NRd1mCTyRKgNRrNlGInBLWntjqgoZvBYKJDAEaqvSEMIcwkVmqlHFx/w1gko+XsLuqX30bbGCssWVEN1AVxEUa2IPZWEHm2XZ2kplWg4LieioJ+Mc8lmilooIYAkX+T23IxJQwvXGllCWNaRpIMeC64vzIZtJhVxMcyctqZQRcr+YAKYs3cwe0wjvOL8it8wbYlV5DLmsTijB4yjlFyLJVNvCeaXlkY224uxXkJKwg0+k3c/MYukXpaKM80aVZEzYwJ3UTbEwSmahQB1DFJcCBjNfbSOhFrdKN2FKizKPbzfrj7I1Al6ngjTkfqVwCR4JipilF1HxR583j4NowmCmzItjQYlSjRLoic3acpHxAsD1Q8WdzFsi+57FocBj2kZFWUdlq7A2ZRO2pHHZECurtBXTWEmrNq3YVMFRwaloueRIsgSCKrWQkM5KJJdOuKaUyVCgySISEmMCTIJgqugI7DrILAOepYqTqNSW1Ux6qTEPsSkFMbTfMgvPdvlbQmFCnZLKPkwMRLRyayZCnlsET64BLeQ5ZqtMx5S2acJJX+UURrSqGlJu4gc8VqkqdwhCWCYBGdubEwSRDlvn+0cIubZZ2CE24hQZgShVckkbIXPtaDHVCelDOd6eEyPSTZQcZgqy4EiD7rLEoozO8qLsA68YmukpiCYFETGSto8wTeC6LNKmwjZF2GxLRiJbqQmwdVHoQaCn2MYZS8DyCkJ8gsZmiJIRi4WW/9NsArwMXFKcPx4K2WeTQNcS0EarsSeZlrT3G9AI/FITfsh5YO5foCA0P1zjedhJYNiWKDYJhmOqcLkfzHMN2gLdGVcQMPdTDPIlyWnU2fpMa65BLTVzG9ncU5JyFbYYU73MY9BajCU3UbIX202EvKZGKpsPeog0ZqELizoYl+BCZ4GM6yGicjyIIPSXdS+2iyCNkAaAFoXwrAQRy0QqBuJOU9aGYVBlrBTzq2N1PB5GEfpwnK5NdyWYVwR6OcTLARB/lwOq/DnFxxUVeRw5XOvNrytCq3zkj81BIB+T58ytpOq7+Q+/ILCPX/PyjN5cPw7CTc5HL8TMM/mKGXl5IUgOrgi8ipl2K20HR75/xf3ha+X7mEPW4vPzx960a92/s96ycbf3+OTblz+vCEZz+FjclzyHsDiK+1u0Nudzw9cnyCseh3zw53y94j4WlXpFVWbvPq6O1bE6VsdP+ngD/vlRVwW+vfv38Zku6Vjp9X7Ynz3mkK9er0jum8Ubfd49iy2Og19TVCsEVbwptLBn1zk4e/MmPOuVz8C9Dx3GP93wL5henMcDExNihaN1qzLi4OG5U1hfq+B5116GiVML0IZteJaLPZu3IzVbGOqvYf1IVW5Yd29Zj7XVYbz7w/+EZhSJqoyaFdKKDm/qoxCDfUOYODSHkTUDcGKlQDo4PyE3gEMlB+2pAFEzwjpngBoGPGHzZjiZjpHKCJ5+3VPxpj9Sn8qefc552LBuA9Zt3orzz96G79x+K/beehdOTJ0CKgOSQXR8+YTK+qINjGqysbqol060lrDDGcaGag3pYoqSYaG9FGJuvon2bBsj9QHs3LwB2+p1bLbrOHRiDq04gEFokwD/et8hTC838Scf/ju0OgH8MMKyzwbHFA5vsMomWstL6B8qq2gzXcPwmgqGqx4uuXRnNxQ/EivijV+9GTWnhpmlk2hELXGi6r6O9mKAytYaeJ/ZWGiLCmNx3yxK/SXofoaIXQx1DWv6NuKv/+kj+JlrrsLk3CysWMPE3Cz2Th3D0nwTLFukLXC83o+NI8OoGTXoNlAxeZOq4fiJY1g/MobyYBmBL45QbBsawdbhMbHILS23sWf9JlTndJztjOGl5z4d2waGsHaoH2vskmQ7MaXu4NKcPJnwqc91sbjchsub67ZSNGkhdXMM/udNPhkCFXRdTyqJhtyYEurwppwWRwWXxCouSigF7Qg8BRZSn0coR3tpmklAvPLcUkFGhRZfW2VL0lbKbDre0NNSGVEtJZmSBFKWWF0pWWFwPyEZgU7Km2yT+WGOBNFrUsZBtSBLKCzoJUeaKS1LKdMIhHjO6QSD3GSTgWWULbERVBUQ8KafkI+lG3raUW21VK4R4ki+HDWJkWS3SUlISpWROoMJd7iWuQ0ElVQPcTbJIEX9xiIDAVtUM3GOuA0skVB2TpXjxyA55gsGyrqr55OsQFZKmVWkVH48aYnhLNpbCa0IblmMwrng3BGH0kIriJYgyhTIwZw0FpOIopLgKDf4c/tozg3YPN3NUsyz7Dh3clypb4uhWwkylgXwAwnhe4SBPLbMSiTk4LUkt3mz1EY1xUrOXMpsMirWEnkut0MswXECnzmLXIUscEAo20GlM9cOlaBapIo1WCiSRIm0X9MeqxMJSWKBJQBYUVMC4EwskXLcdR1BRg9n3nir2qOlYMJlSzBzAx1JyKOwjSdmBgsxC0JsKvKoGkslS5FWXLl287SwCAJtyRS0yg7CSJU5MKMtiKkCoz01kmw+rjEqU5mRJ9BO7+ZcJrSXd6BFtAmHopCkBd02OH8+NDbRwoMWB0CFb6pyRe2yyr6jGpew1dIs2Tehz6bTbdFNZf9SgrWSAnmWEQusMstl2AiQpg4SflhCoCU2buW+jcKOzCfPbY0g2CshYPEQQS/txjwPqDwVQMVYAUfml/BP4gz8DJllIWjytXncLCQG25ZNyag0vbJ8YMR5FIe/bcKh9ZxHw3bk+uP7tILzPKAi0REo2ZGGbLby2rLuyrWKADcqJqNIZLoou6nYZvk3XMS1y7k3bUQp1YehKAGR2Yg0R7V0G4xOMJDathwvWq4JuTNakY2yvDY/OOC1zbFsuOEyHNdBwA/uDG4XLciQshcrZft2jCRpIupkAg3bLAjpxHAcW/LyxN5va6LapzWdc2dVWWLChczp5znVlszEMMiQMicxTWGzTMigzlLSUWEaVAfTsp1BiwyZT8LxJKEVPBD4uTpWx2M9HglUKVpA86/5n+Lr5TbPPPcnt6EWs9r4MyobitlvHEWwVvxvqtdyO2iv8jBXtuXQqmjhPd2gtbVo481HcV+KSsaixbaokHtz/Ve/9178Q2hYzJ/rVQKulEuXz0cOKPNBaNdr1c3HSu20ecZd8XX5mjk8zGFcUeVYVPnxT66kK7Yb9+5DDvo4ikrLfP7z+eBXzkWxLTnfht65yB/fm+e3OlbH6lgdPw7o9miM9+AFeLTH27of0J3OkvujlmWs9HqP5D1+FCXjGftXcjsMES7GaLc76mW7SiZp+zQNtNsM7o/hM1vuoYex/+EJ/NwTr8TWzWPwzDJsx4SRpGLdufaqC+Av+hiujmB0qB+hnuJXX/tSWImF8Y3D2LNmPZ5+xRPx9AsuxRXnX4bXPOmJuOfwYZxYXhDlgLukwwstLE91BHpcsHsjLti4BYsLy0j9DOWxuljNnMxAEEZw6xbOO2839HqGkxNLmFlqox7omG8HQElDbdDEsSOTOHrf3u/t78++4nXYvX0jfv51r8EVu8+R0o8L91yMaG4GbT/EgFP7XrZg2angzjsPolSi7kzD/UcmsVjW5eZnpFqX/CR4QMsMsXNkEDs31nBoeRkzyy3s3LIJm+trEDs6zr3gfEy3mti0fYvYJ1u+NBkgtXjnm6F/pCIA5hlPugqWbsu+tTshpuZYWhHhhm/fg44VikqRt5tzYQOD/SU8+ekXw/UMXLzpXFxy7i6U6w7++o2/Cz+OYHrK/qj1WYj2N1DRXRhtoLzEwPllfP6jX8Ff/eMnREE4Vq+hVLJw9TkXoFwu4/Kz9mC8v4rJYAlHlqfkZvSsdcPQKpay1SHB/ScmsDi5hBMLp9BpdYRNzR+fke196sUX4uxzRjFUWYPWchNf3PdNHJ9ZwHIW49RCG5duWS8Aw42pqtPQP+TB1XTJAYz8CG7Fg+naeOjoKWVtpDVX1Gkq/40iLEJPZb9Udl5RpvFGlTfu0sTJPDVCLxbTKu2fFCew7VbsoqZSbsXEJlSWUSWj2jkMljxQ0SXKN1qEM6WmotWQSjE7k+2TXLFuVhstkoQjBHZ8TUIC3gAT/HC7CHPFrkY1VETMwUIA3tQzt04pEVNKxtiYCof9FWIbZW6WtKUSGxkWtEyBqJTKKVqJdWZtEYtRRaUy31gWQQChvud/s+iC/bUKDhKL0dZJpRJz3gR2MWWNiiXCKyoWuypJeZ2MpQiGygAklCWmI7Piu1KxRkWhwFE+T5fSDmgsQqFyUbVsS+EHD4EABNGISWNo7AdIBLYQDAJllw20CVw5FkRLmkQIiHpLkvEMyTmTHDpCS0I6aVLgtijrL9VXhJGEs4RRGYtLpMhDFY9IAy4SWFQSapFAE/lgQTIDEyJDJBrhEPMZVeMyt08ahAl0aaUU1snjxmoeBfxSw0bY6sh1QTfZhpxC5zyLCjFGRgBsENLpkk1HEMhSFX4IkICWyFRs1szFkzkhsAypMFOAimvfD9mYy3OCa8KS12dJC59F06/OsgnJETRg0XIZRAIsU15yJLvSREyIRCWmFLBkogYUyylBL5/Ps4DnGlVYVOx1Mslyo2WWjlrNtWEz95HH2CgBjTb0IIQrjbRcbwqq8zxNjBitNrediuhIVIg854O2j4hrkfZl21VlIVI3G4pilWrXlPJFvj9Fj/wrydJQLdMKrWIgaIOmR5jXOSq+pZIl81WRDMFyRLUq14tqf5WOXsJRgZCuKA4JFINmR9ZOGPL87OY32iWxfxtxJurChK/ZWhYbsGL0HWW75TVEs+UDhijxRLmZZTbay8uIo0hUpwSwXL9UDVK1y/8mXGdsAK2rzPRMrLKcb2nsQ7eYn+ggsSxEtAWLWpfwX6mVLSoT4xaPpNiRea6yIIS2ezBeguuWcDJqyXYxw1FLHGgEid2oAlrwWSZFSzmrRTLDU+udVnWeL4S29F83A7Gys7WdClgtMtEMU9heBZ6poVJKEWZck7E0gDssa6F+m4pDx5WIAn4Aw7Wl6xZCuybKxNWxOh6PKr7TjRy+FO2V+aAyL/+HfRFA8aaqmKtXbLvNyzvykUOqouqvFzAV7ad8Xf6e5SH8GaFdEZo9UljUCwZzFWL+M97Q5NAyH70251ztl+9j79zl78NRVPz1zluuDsxfL1fhraRwLGYM9t7E5vAwf9/i3OZ5hPlzi1/zY0ZlYu8+c/Qet5XmsLe8I9/ffF561Z35WMkivTpWx+p4/I2fNAvqownd8rl5vM3R27rlWT/oMT8qIMz/nsxH/nfSj6JkPGPtuk9/ztO7jZfq5l69uvpCFZTkcYnSh640B095wvm45pKL8OWbvoNOYwHfOXIEWSeGUbGhM/C+YsHTLLzgkovwnUNHMH1sDtONFlI3xQWja7CvNY91lSqW4xDNeR+xnaLi2phf6qCUGvCNDBfv3oRjYROLRxqoDlroLAYq661axkyzLTdD11xyKfbe8xBOzi0h0HysGxrF1KlZvOB5T8W3b74bqGVYV1mDcn8db/vNP/ze/r7nve/CXHMGv/3Lv4sjM9O4/VufxX0PPYj9Jw9ifM0gJg/OY/rEMrx+B3EjljZPyXCnNasTwepzETYiDG+vQPOB3eND+Pr9R1CpuLj6rG2YXl4U5dTifAg6r2aWGnCGTaRNoFKtYHJ+Hk8491zc9+B+2EaAqaW2gLrMjzFQH8L4xio2VtfhUOMUJh4+hLO2bUG1XMfhqWM4cPik2HtHajV0WiHqlRKSSMO6sT4cODqFhYg3WRoCljw0U5QY7q/FMEwqoKgGipEI6MjwM5c+EZ+66RvYMTyMv3nXRwEsYmJ2CuuGduEZL3wa1o2NYnTQw3WXnIs/++Dncd35O3H/jI/x/hL23n8QS1kAi6TDNOAmGrb1b8afvvOv8PxXPgNXnHs+7j16AEk7wRLaqFTUjShBU92sYPbkAhpxiO0jY9h/dEoAGdt8zShDKwpQdl1sWjeGtYN1fO7kAuJGgDigYo82aR1a4COmdZFKFfooeUNPZY+APKVGZZNHpqmWUA7JqZMstEzADcEdlUei8pO13i1VID2h/TKi5VPBAmWEVfZEca1SJcisKjlnIlGQ8W6e7bop7ZAxyyoIvzP4CZUymgBBI8+mk2OiIyXQEBgDdCKqqAgAhA6Kwk2UaPwj4jJ6CmkDD8XGyxt6AgyG8BME8r2lRkNnoyhD8E1kAVVZtLqy+IOKPdqMWXzAsPwEGveB+001GBt+qcRhplvUtZtqLJ9QRSd+EMOxXWi6gpiishPlIAGegpUChKS5VmoZ5HUIMKUZlJZu2WbVqitlEFThMSdRZFpsLCbkonIwEgtuLGomTyzXBJJUHtJeLa21UqxBe2HAGlkBIzxenBPxC3L+afZlM6lhClCS5UFgx/emKpSwSF6PP6PHW5WDEDjll0JmNBpZV5koeXEqF1LsvqImJNilsooqPs6dKv7RNFowlbpMZSiqPD+qxzQq8kxPoC7hLimsRAQyu89QmWwsf+n4zO2zpFSCLag83SK2x1oxGSpMKkapqMsSRCHBYYYsVsUNUlrDTST8tvg4ZW83DWazRbAdKu0yyYXjhcoq6Ug7tLFSxSdnjEBL8lMjiGGyVtiihZXqvZYc84xkn9BbCkkciSjguayziCOlJVQ1BKv+ZebsMdcuA02lVKElhJRSykHVrKXas2lbF0hOsJsiNrjmIphpIlZXy+R82WotU6HIdU5YbSrQrPM9uHYlFJNZliEM5mVSx2uXJHaCKkIj7SDObLGri4WblnbbhekYaDZDUbPJ8WXuJT9QSCM5N2Ofzda27Dfnk9CbluuIikxC2qSDtDoEp9NCqJpeYCY+fIPZebyG6SASM5mXyNw/k3mLVNBVoNO2y3OfMLXVFus8i12o4mXWJ88XnZZ9kdWlUmqRRdSuOzAJUFluIupnVYDD7Eq2HbMBSJqYea55/YjDpkDN1OJ1tQzbi5DGPF6hxFtQ+WlSuWt4yLKONClbUYbAoU2aazUjb0RKO33Mgp0MjHyMUwumrA1bQH3FNtBmYYcrFzhkRgQtYPFHivf+w3vOxD9fVsfq+JEHc9x+2EGQ1wtkcthTbFclNCzeDOStvcVyjCKM621aLba4rjR6Czh6raT5c3NYtJJiLx+59bUIzrj93I7vl0lYLLjILa2ny+/rbZwt/ndvNl1uXeY+EM4V57s3AzAfxcbd3kKQ/Ge91uPifMlrvPU3pFCkd5vz73u3o/he+Tbk81hs611pe4twr9iyzH3mjWDv2lkdq2N1rI4zPQifHgul3U/TePuP2NL7qLfrsoxCspyoFpKbbd7A8ia4K+QRG56Gyy7YiZ07d+KBh/fjgvN2Y9P6dXjyxmtw4ehWPOeaJ8FfpnrMgN8IUak4+Oxtd+C+o8cQZDF+5gnnC2SYXmyh00xweGoW821aiqikSrG47EvmlN/Hm70U+yensHy4BacEzJ5YQlRSgeOLaYhrzr8Yz37iVdCzCG2EcHgzl2ho+gF+7/f+EHt2X4GzdmzCrp1X4uGpI7j9vnvxpv/2Rnzjlq/j+vf/KSItwZqBMv76vX8hxQ9777oHD+0/gtHqMNrTMYb76hg7p1+si6LUoM0vSBFGysLrz3fkRn9usoVlvYNb9p0AljI8+4rrcMt9RzBxeBn7ZhdxIJvB/ZPHUe6vYWGuiZB5ZqjAcjQcnTgEQ2sjyGjVZaNngnO3bcbx2Sk8fOg4vnn/HQhmmvjdN/4iPMtBn0uF4AyMSJMMvZJmwypbqLhlJEmCOx44hot3XY5K3VZlJy1aUplNpRo9aW/LmjE810RiJdCcFPXBCv7wV16HLWvW4S1veTVe9ZpX4qZPfAMf+ej/wYg3it//o7fhzv1H8acf+TxKuoVvHjiO/pKFpYaPj3/0c8gCBsYDb3ne0+AbKS6/6qn4mZc9F47p4L6JfTDDDDtHNqBUtlGyDMxPNmCWPViagW2bR7HWq+NwY0a1snL9EW6UTThUjGUJjk7PIHWU9ZagmaosUYUlXesqLapUhMkNJ8GKNGzIWtbZskuIRXAk0I9lB1TJUcGjcsZ0ZnrRQhbz5pnQgQ9TCrwsYiaWyJxEfcJyC55yVBIpNZ+yJEq7LxUupLkJ88T4PgQCVBhmiPVE5pz2XhHH6rQDhwL9GPRGtSEhgVIKch5oxVXKIKrEJD9QYAX/01dNlmxc7dpgJaeLKqEkEwunpjty8y+qNCq3BFyaAnqimNBGR9Sh7Zhghsoa9n0QDlliHeU5GgW0hBJeGEgM2v0UBKRdP2ZuH3dVlFSEZLqCKQRzUtrB/VKFOlLYajEGgOUIfA7BKnPNCBuy7lzQhsvrjJpbwnGYzK1jq6dSyTHgn59nyLZyGwmhBLAw7jCEbnMNKEs8vzDzjtbANOS1hEUHmjSEslVVykLylmZdFYNwuansQlViIfSC60JACX2/xFmuqPHEcSuKSqX045oxSMH0ROAc14YpqkHOgavmlK21WrfVmKUeLFHRXVGXplmATKPCyhbrLNctoS41Z0GcyvwRmBFiuoR2fHce04DAkudB97jSk6kr6yZtyQ6BHbed1l+X6s8INteuFH1ksGwbOgtLqBqMfWlsjpohMgKeUMIH5TplaTqcNJLCFpYuELqaViDlM8jK0tyaJQR/LPGIZO2Z3E6CUjYLC2qipZj7z4xB7gqBkynHJgu7oDYmMwtFVcr/dSLGGLCwgS27LWS+j2Ynk2s9zw+WWKSZhdS2ZD2KkpTqMGYQUhmbxIg1SxR0tuUiodw6ozqNh1fZjaOOyopUEQA8R9XfRUHTR4lzRYs71YJUAaaOKF3j2IDpWCpjk+o0eS0WepShJT4M0wHsGoxOIOe/6E5pQ7YdlNnMbTCCIoFGe3sUw62XVUkQFaBRJhm2PJRRK4TNdmyx+nvQaN02XKRSQGMq+G0SGPP6QxMtP2gwEUUpYt1EzA8aXBNxFgmE9uMYnZDqUAtB1/IvH9yhBMfitUBHZjOI0BRFIOFlxDKYjIUftDWHSKjYz0xEAvC5Tnld4bWD85YgDphFyWxM5nnSZJ/CzwK6uKUkxK1ZMHkeiRqY19PVsToe29Gb4/b9/jFfbL3NR64EK1pY+Zq5Ao1/PhC99HuPz9VkRRiVQ5/8cXm2Xv774tde+2oO4oog6nstuF/5yIpqvmKmXS8AzGHVD1M6QmUa35ePzUFb/p7F/L5cfVcEYcXRa6Hl77kPLNPIx0r231wtmO97Ue33/UY+9/nr87X/+thX/s2c5q9btGbnI5/n3F6bj2I5SO9x6oWOK80D95lrh7BvdayO1fH4GT8ONdqZzox7pOPxCvge63l5JOPH/SHMGVPy/de3/BwOHTghpCVX8gl0gQbPdRFGITZvPAuleoz1e9bi7q88gNmZGbzg2muw9axNuPe2e7B7xxje8cnPIWum2L5jM5b9OZR8Gy+89kn4+y9/HkN9FRw6No/169dgeamBdtaGE6Rw2aoa+WLfm47aKNddNGaZ46Rj47phuXE4fHICdkW0H3AWDYyPDmO2sYhN6+rwmxnu3X8MZ+3YjKF6FU59EKP9dQyMrsHt3/xXyaI7NT8tN8Llch/23XcYvE96+hN2o9WOMb3YhFG2cWxyElHcQUdUKBnWrBvEzFQb0VwLgc/geRX6Ly2izKsydGgOAYeG3RtGsffYFDaU+rBz9xbcet/9GB4cxNO3j+OTtxxArW7j6MIctlX6UR0dRhwl2D95HC9/2pPx2W/djppuYj5qoNGg2oQZUzrKmY2rL7ocT776iViaPADbruB33/n3cAINL37pU/HVb9wnCrko8CXziKqv88/ehRMTkzg8M4nR0SoaMxFaWUcUVtVSCVEjRuTESIIE5/Svw46z1mFiah7TjQU867LL8OI3vAUvfNkzUIKFD370s3jPu/8nHrr3MO6ZPYS11TomF5cEQNiOBVeroa8POGvjRnz5trsx6NUwWB7CvlMHcN2Fl8JPM0wcOw7Ns9GOgZNzJyhBQsLSDD/BU699Im6947vYvXkd9OUEy8ttbBgfweETp1CtlNBXdrH/1Ek87cJz8ekDp5C0mGXG7LRUbIsSCcc8PbGoEoR0Lbm8iafylKuXSjmBtGyc5c06QYyCN7S88r8JPxJ+ZSYecQSz95JMFGpiKJXsNDbuGgIbxeirJYhiU9SdtF3yOfJ8gi+d9sgEJlsnqTiKCWK6wlgWKBAARZHAc9oPbaqqYpZrqKJX5o+pdlSimm4JiLSYKosi88Ayw4KZUeXEjMWOQFKXoITCI7am8vEhA/3ZiszSAg2WS0WugmuETgQjbAslhBBVm4T6ByorjJCQIJiElbNFtReLL2jrlXZdpTTk/5i9pSo1CJgIcyJpiiUAINRKNCphmZFGtRxv+0Oxh1KRxLXEbUkzgifBRqKgIzxRNJOKN3ZZ0KupmpJ1jUpFibZTgkvZHgVnBJ/pXcUlKSM/qGBzKS2PtD1z/eixgAoF8Al4CAtJXzOx1hqWK23VNhVbQSCqR91IEQWZgoSSgUbAagpkU9DNEDAt8JOgNeV6UVZSWjdNl1AoRewz/46Ze2o9MVswYl4iYbz0QGQCTCRDkbltEbMFSWpNOcaeESPMqEbjnBG0qAw7Fs3wvNB5bjGHkMfY8cS6ygw2ZiqGcSylFpJ0KM3CvPYayDqJFCBlPmEQraYdKVBiaYVFiEi7sE+LqA/HceAHCXRLgWWqW3m8abmOQgMuSy+6x8kgakw0KcXgXPPIE7rxHBXoSSCZWaLK4xqkwpdlHFxa5MWdjg9Lsh7ZHK7sztI3K0UYql1GY8kN54O5hjxF+H7SFs1C6kxaeAm3da59SUdIEYVU7dnQPAOJH0O3MyQdVYpRYskH4X3KwhAF2bk2pGWZIJDnJxWilifr3bYc+J0GNAJG3YafBLDZaCtqWkouqaRz5HpCpa5GyJZR88frRSDqQLYw83hxOXGeiO95rESBqeuSxejSBstcv1RHqVQSmJ/xGiISUwO6H0BzVO4nN5K5gHHAD3ZM2Gz41S00A36wYEj7eYfwma3CLqGsKt6Rx8JEpEfqGKWEtaZcmwyPTdlUKIbSIJx5FX4eB91MJecwbPLaF4laNnVVrqjtRwhCZpkmcvwkd1VKhZR1Xs9s/NM//s2Z+OfL6lgdP/Ig8PpB/1DvvekgGPvQe/7P95RfHLlyq6hGozqM8Kio8judNXYlhV9RJceRKwSLQK9XZdY7VlLoFR+fK+aK20ir6g+yFuXFIb2KuJVUfUXAd7rve/c7H5xDjhzC9Vpg89H7/t9PyUeIt9KNZFEVWfzZSkrA4vFZaR5Wet3itvbOwenGqpJvdayO1bE6froUfo+6ku/o1BRqfSWURpjlpDoNeJNB1U0nCABHx8HJfdh/4AT+5b034MjECZx7wU5MBE185RvfxmfuuA1/8MFPot0OMeRV8NChg2DDwzOe8xS894YbpS009iyM1qs4NTGNc87djt1rNqLRTNAK2zjZaGE67iBuxegwnyvO4McBDk2cQstpibUyiiJY8zoC3tdoPoYH6rhr/wQ8z8JF523AxnUbsHv3+dg4MgrbMHDq1Al03AjN5jJc04UBC0EnkkyrAa+M+2cmcXjyFC7ZswMnJ6ex1GjATzX0eSV4RglLh5rSHusMe7CGHIz11dFfKaNacbF2ZAD1sgujohRhx1tLoto46bfx5dvuxNrBMVy5awNqdRfOmIWLz30pxr0+zKcZvnPfg2i2lzDiDuGmW/ZD1wPMRcsYHRjB9uEhXHrWRrzuKU/F2173Mjx4eC92nnMVLr325xAnGt75O78CY3MFn/rWzdT5oJw4qJWrIBpc8pt46NCDsBySD6DViHHdlZeLHdP2bCw3mggsXyAVo9xKwyXsOzWDqeQkWn4Ln7jh23j5rzwPw+vKmDM7uOal1+DLe28TAJsEKY4tLOLs8Y1YN7QW6we2oxksimKo49sYHa1jrrmIqy7ahKrjYc2GGnZfeDm8YRuj/YMYLRtYU6qiPFZGFtLWZeLBffcjCGO85GlXY2q5Ad9McNvRQzjhL8FPAzwweQJBmuCeqUXJG+NNorLMirYNadS1bMofKraUpZSwJ6Z9lbbcrm2S9jjmhIniTIpcab9T9k+iPdI1wjkCEtolFbgyu7ZS2mGpzuJJQWuasuHajqoDoQ1QOYMNmBL8TwUUgZqP2CeEoMWPZJj337w59xXoIVxiS6lkB0aIolCslvw+IqDTlAKMJZSSk0bkSIAkICtBlvhIaUMkwNRNJFSWUfEoaFC1ERNOWqYl9sw04HsTIrH4grbXFAG318iguVRlsaVU8Jhqvg01RFEg4CuWogpLYBoBm2pAYPYeW1apFGSYfxdUUBAnSmB1IdEJ+GiJFipDWEFAROWjyhhMQhZidBt9KcSkZZg5YQR8/D2BGoEImztZBMHrEi2ahExUBrJQgSDT4HsqqJsQIlGfSBjCiDKKwTgvVJuJrZSlpSw/US3CfCem4ek87iwbyFKEIeWltOeSTxLGKLtuHHGfueYAq2SKXVYKWpjHSDjGYywqU2WPtEs20jBGSkhI8VJ3PdBaS7hCOCcQOKI9mxGDiawxgh6NCrCErbfcwhAB8+0EmjGPj626BLDdkg1me0pXkQmTUDLqCLh0uaEshxAJHddTSWXBsYBnOYXh2AJ6gliqe6GZ3G8HSScWCEYgT4Wk5bkIk0wswJxHS5zhPAYW4sCAY7KEg03ThOGhwG+qRp0yPxAxkRCaaYSXRG3MU+WK0BD6SdeuTYWfrAgEoWrdZW5fViop+Cot2arshWo22lMT00Vms9VVE1jO9mK2fBNS2jyfJVvPRhSZ8MS5S5isI6MSj8VCno00suBY6sOsWM6ZCFqlIkrVRApvmPdnyDzEXCueJ2uWz/GbTVEs6qYLv92W4g9prpZyF1tKXphna5ZdmLyOsk9crmMKoHEKo4itRUpNyKw8ri3CMKoVaUd3xApvIDFrcEplpAjkusYMSQJoS5SCXEsZ4k6ArNVB4tNqnsFgpEHC55somSbMTox2J5NsPbuuylc0KRPSoJdsiclgMzYVqbzShrEhJSwsX6Z93jRriDJHvifEDSNmBVLlmYKObJOZjXGArKmBvUmqiIXg1ESoufJ+hLpSiCLugNWxOh7bQQBDYFVU2xUHf5dn7OR/CAaL1s5cwZWXbuQjfwyhWbFYoWgDzdVvxcw2jt7suWJuYFH1djrAl6vpekFS0TLMUbQE54CP0I/7TVVZnjXIr8X/7lWj5ftShHS5Ii1XFfbCrqLSMFdE5nC0OIf8Q9VdsW232Ixb3I7ifub71AvocsDH7eM28Zjy+blSMz8mxWPB1+Pve+f7hyluyVWGxW3Ntym/ESzOT/51FfCtjtWxOn4Sx0+SGu/Hsb9n6tp9xv6VrDsWxteNIVpKcd3ll6sSAzZndrPA4k6MqB2isbzcbTUFpo6dxC3/eguuecLF0gy7tT4E3daxEHXgOiUMrBnBl79xI6656Fx86gOfw8EHJuEOlrFtbBhH909j/4mTGF07gLZkX2kC+NxhV2yDvMGw6hbMqoGZyQY2bh2GK6HvOtJKjMPJMi49+2yUKx7uOnIM8/MxZhvTKNXrWLtlC0zPQ5YuYX7Jx0OnpnDq5Bzm/UUBWmEc4aord+GaHRfC1XU8fPAwXvSsl+OS8VG5qaL6I9UTLFshQitFq+ljx8ggZtI2lp0IbT3GQhyiYURwOybOGl6DlDddaYZBzcEau4bDpyYx3L8R7/jaLag3a3j9L1yNV/3i32Hr2HnYun4LXv+c6zAzfQpXXjSGcbOEK/Y8GSNOHYuNDg4encZ7v/JNdGKCxZ34X3+o/uF38dUvQv/wWrRPNLF1aBMMu4xaXw1+1BJTIfPYSuVdmJ5u4jVPvxaOYeJfH7obmp9isFaHFQC264iajO7V2x5+CO2ZCH/wa3+KizdtQW0gxcLJZSxORtjYV4ermRjQajjSaQgQOGvdNtw7eRiHpyaQOUvYMDwGU/MwOzON2VMNDA/04eiUiTXDdXz8Czfhb9/9Vyg5JtasrePk8oKEsL/1Rc/FxvExuWE/eWxeYEVj3seJqXkEfgivZMHOqJzSUC4Rk+g4Ua7LTa1kXxEBEKhQvyRSU9pIuVbZqKmUTGw2FaWPlE8QTGnfszGKvTEkmOCNNHO8aHNUilWeThYtvgRi9JkyJ4xKQCIgTVeWSHkMb8xjUdQxD7AbLtfNW1NtqaIilEZaE6buqTIO2nKVV1jgodzsW6o0gspDetWplmFmm6qoIDRMEEhAPUEQJU0ETC5M5o4ZLI4goKTSjyo02jctKXWJaL2UFmCqH5n9ZlBYJ9sYdEJpMmXxhM2VE5J4USlHsNaFmoRxFredZSRiUhaVH5VUoqSkC9NQzaAas/8SpaQjnCc0E2US1U/EOFQYZrpkCBLSicWa2WeOISoqsadKZlgG3aX6j42+BFyqrTWz+D3bZ00FswiMJPOPCsVAVJ2SWyYWaaqLdOikYQSLBCE6M+EIIdTcpTrfg7ZYT5p0DUv1+DqeaM1kDVE5KIUSoiZMEfIQMBcwoX2WajOSYhZh0BbKNcdGZQcRYRwXiGQpUg2YCeghXGbTL22VXKuEf5bB+SL0sWUOBKDSChnTFk2aRyVhLOUrCr6ypESH65kSHcD9Zesri6YZY8AyF9pNub3MsuMHI3wMVYkGTFiODZtZgnELiH3YLJcpdRuiocO2CFqpVC6rRlkSW8eBZtFKnCJtJyovMtMF/hCGU+2mWRVolsmPHBCFCeIOBZTMAlRFIOFypGBdQps1obJS7xEUSdOya4t9l5o1KRohuPIcsf9qtgmTVl2dllwuxFiyDa0sgmkkiNsJ4MfwI8CPWJLjSQmUNNxS4cz/UVWZRmiHgbTHWtyfJJP28oyxjYRcbhkR8yJZhpSliJdbMAmcWfZiVqVsgsfILZnI/AB2pYRGW5McTq4Hxjh4jim2XsHxlO2FgcpspO21sSxFOVTncg64tzLrVHPKGs1gpFTVxkilQTdV780PI0RRT4tyyLYNOd8ty1ZKUVpk4zZSnktS5qJBK7ny4UES6fLhHEs5QgJ8xk3YjlzpIiOEv8RmY0dafSUr089gy/mp4DlLRnQjkmtSO2pDTwwanKFbBN2pXGNMvyUfAPH8o608RAdx6MJwNLh8Pq87NlW7Jmy/BZ3njxbLByRa0DxT/3xZHavjRx65VfTV1sdWvDE5nW2V/4jPYVTRvslRLNrg7wjNCJSKKrS8bTV/HiFQXmJR/F1v2yyLIPKfF+2tK43cTts7ei2vxffIbcLFltjiaxRbaYvAK59Hec23/oZsJ+2nxfcRiPfW3/g31mP+ufHL3/13r7/SIFz8fuq3opKOc5IfO34tzikfRzUmt4+P57xym3rbfYsAks/Jj2MRZBYVmvkxWWkf2LJbPN75f+eKyOLonfPVsTpWx49/9F7/H83CiNO915nchh8WvJ0JQPdIIdePs/X37X9+1SOex0f6+O+3v/+RfTtjdt3rXvNMjJdrODGxoIoLRN2iwIUM3ryK3abL+DJgw+4x2O0yHt6/HxedswvLjRYOLk2KxcuqlXHB5l246dY7YXlsPtXQXy9hz66z0ZqcwaIfo1Zzse/ocWnknVluisqnf6iGQIsE+FG91a+V4Q7UMDs1jbXjNZw4Oo+wnsLLLLzm2ifj87d/B05qoelncB0XG7dsxIDYDCIcOvAQHjhxCH7oI2vznlxDbcTF7MEOzjp7GNNH20Apw6Dbj6Pzkzh72wbsn52SFsl11T4stFtoJD5KVQcb3XFcdeUl+NDXP4vlk20BHLXUxJOfdDm+fNdNqHse/GaIrfURPBxN49zSOPbNTaIRxaK4uWzjeWi0mihVDMwsLOBkawE/e82z8YrX/RL+3z95M552xbOwcDiGPRojaM/AtHfh0MSNuO2+u/FzL3oJLn/qz+KfP/J3OH50Ft+6/VY882m78ckb7sKGoQ141UuuxvUf+7TkLW0a2oQ4akHTOtg3uYDMTHDFWefjln17ES6F8AY8JI0QfbV+uJaDV77mGWjPRnj/pz6FzEulsGN2agn9gwOo93loNFqIjQydhQCpbsBzbCzMNzAwXoEWMOXKgh9kkp1Wq5QlA+/k4hzSUEPiZdg9skZuImsVE81Whoa/AEfzEFgBJk7Oi6rul57xNHzpW3dQ+CmKrh07tuHY/qPwWQxQNjBnjyBq8oZdlwZnFj5I2JvI5whXVY4kV6oAO/rd+DvmdDHkLiFsYpg/TxiCFHWjTbUcLbLCsWm/lmZY1chK9Z1I74QjdstoRGlGKy1z4PgtQQvVXzpCPxQIIEBGItyYYUVVGmGQ1Okqi6ZBYEPbIRWGvIVPodPiStDALDfCIskxo6qQVj9mndGCSQ0QkR5/x600ZQ5YEKFUgVIbgij2RdkjkIqASiYlLyVRqkAWLhAmiQWYrayZJaCAtkFJOeQ+Urenm4gytv8CDq3qIYsXlE2U1jwCJYuZXYREVNKx/ZPZZ93ni22aW8xpIp+Rfg8xo6vWV8I0KgQJFJjzxnBHQleNOXUq5y6lsTFjnh3benVobNIlWKQ107AQElRqmVgG9W5rrpnqksEnx5UMljDNcETBZbMcgf2qLCsRqzFhC4EU7YaEMJHYZBPdEOsiYT/BLWWH0gzbBXVyDJiHSKBHpR2tuJKvSPVnKmphaVHmJGRU1fF3qQAmeW6SIKD6rRRCi7tKQlpZQ18ad7nxcUrwxq3kusvtzZGCvFyDUUe2iQpTKv+okCPsYk4prZecj4z749IOSghLcKoab7kPXtmFRtJFEMljx0KHLEaUVWAaLMRIBd4adoqwncK2mfrG7FOeVzEin6UmIXRHFYuIwrP7l0Maa3Ju8TVEIZkQKGtIParPWP5DOKVJth0LIGynLApFI/VFHSYiL/HmEqQG0D0Thu3CyCwkrSVpsyXopXs6yVjKwhqLrt1cVK/q7y4R0NKqzbVrpaoQxayoc5fqQZNrOUPS9pUF2nSRBh3JwIwyolEuXrb7shWZ8+WLTVunBZpILtZgiw1enYvSlh5G9JDDSpnfRzCeoZ05KFkZOtJYTXBJeJbAcCwBr2140DJGVhhSbBL6vlirGSfAgICYHyrQ9iqqPmYOOrI/VLNmWgKKKGl2T+0SbMJRlo1QycgPElKqRrnuuVkh9BJg+iYCQtqsI23dYp8NU7mO25LnF0KLmDnJz4R4rJhBye3lOakhbqvGaK4ZZksabBPnHMX8GdcS10NFFJ1GFiASHb2BmJfUmPDTpKAX73/3u8/EP19Wx+r4kcfE8W8/oobd/AYgt7PmN0Q5lMmtoEVIs1IpRQ6kVipx4Ogtb1i3/iqc+NtLBQTmv/t+wGsl+y/3kUCraNvN1XcEgi+ZGvo3P8u3I3+9lUoy8vcoWlBXyq8rblevHZdKvRyY5upHPo7wr2iJLs5ZEeYV56x4LHrnt3c788euBN/yUZy/Yu7iSmrK73fMews5OAh2Cf9ON1aVfKtjdayO/8zj7T9iscXj6T1Wev1H3a7L26KSXZEbtLHhugJ8UryhwB7/jzeFiihmMGwDRx+YwsMH9uO8bWux98RBjI5VJcR+vFyH3khwx977ZQPbsyHcft7867jzzvtw99QE1m8cw9rRIVSGPFyxewc2bRrDkFfFYqMJbTGRG21miPlagD7eYw0aGPVqaGoRzh3cjM2btuBT37wTw2Yd03GIWt8QNm9Yi9nZGdy77xYc378PpyZn5OaIipbLtp+Nj/2PX8B6dxj//b++GNf/+Yewfdt6fOL9/4L+chlXXrAL9x8/hjqzljTgyOKcNGDGJyNEyxmCoAl/tomQ4GXMlhvlRhbiczd/C15A5QjQ9mM8nM2gati4d+kEXvTM5+LXX/6zYl/24zlsHzdhuQaqfXVce/Fl+Mpt38IrXv8iPHCoib//2D/h+hvfhXd/5MP40q03YWr2O9i1eSfe9IbfxDv/7lP4tV99E/7lK9/Azu0bkVY03PHQATxpzy488Qlr8Rcf+BAqjo6+0hA6pRj1cgUPnJwVyMGb6Jv275V5oAJOkwwqHWdtquJ4YxLVwMShw3sRRm2cVdmGxaYPp+SINe349ByiDitVbbTZrOkAL73uafA8F68473L83dv/GOfuPhdPveoJ6KvU8KSLL8C1Vz4JT9iyEeurdYwMDGMpamMpWcDR5WmcvX0YzSzEEy+9CK22j7UjdZy1Zgc+9vXbsGPbFvzRr/8G1gxuwPOuvgre6CimlpbwB7/wcoEpkj1FkER7X6clsIvKPII5VS6glJS0VIq4TixsqmRXlGK0oxFi8MZZwAvvpRn+ruAflSuEcLS4EdIItOBX5dWUnLg4DpXCNeLrqVw6YqVAcrdoKVV5ctI0SgqjlVVGG9VNVHXRCkh1E6FPqiGMWUKgbJfM/ROoQUuoFIiIlErUO4YZSCFHJnlrPBks1chq0p7LW3u+p7LnsQ3UsFhgwasD7aUqP5JWWkL0IIhlXwk5pHxCAvHZImqr7LE0lO2j+qkThGJzJagL2bjKbDZRK8YKwvFKkKqWYs4EM8n4HrTtiW2WqkmCEp1qKJWfF/Mx4HMIz6hiJCBKBBAx60tyBwlkxXLJg6fDqHgAiwHk+0z9TiBeJtl9VE1ZAnkJ8dg6agogS0zaRGnlZRYf6W8AipuY0UdLpVhsk1gV63BORLlF0EqgwSy5CEkYi8iQoJoqPjl+vKgRBFI9F/tipSRklEZfloaIXZX2YeYTsjiCxQ9mt0gkURmJBq8FgYJYSQx2aNAubUjpRre0wKIyjOsnhkFvrKxlF57LfTdgUi0mZwIhFtdqBEt8lI6yPfNiTQBN4M5MUU8pCjVakrktbTYuEwwT5DLv1AGMEhzdV/boIAQcEwGtznqGdkA1GZWIzPijSjaGWSbYoi2Zp5hSD/Ixuk2rq/Q0wyH04bVU2qxdyYojAc70EEbcEtty1GoAkS/7QluxWItlPRjQK5YUt0APEQbLSB2qOw1ZZ2JX1qm+4ynQkSZjhW+pmmWmHoGqL/bY1CewZHtviCRi4Qg1pQrKwvQA2xYlosmvEbPrSOlNRFLUYsBgHp3k8nVgyDqhopPZebzgWIgYM8EcTQJlKuN4TtgeQsuD5yo4bma6ykXkhxBlqs15bbFk+ySnkGssjODJJYrnDxXEtPtW5XMLrneiR73Ec9+TfEYqimmHRRjDDgmwlSKSEJ9gOQt8JFGAOOkoa3qDOYIqc69keaLMkxITngC2et+UF5AKlZEVUalaNf4bgCphltmw0dwWW7TYuqMWEh47yl0tA6lsAwF7W+zSieSQWgj0EHYSyDHipzsJ18HqWB2Pg5HDmNMpGHrVVkXA1wu0+Ni8jCL/Q6jTq/DKYVLRAlqEaDkUymHRFf/jWQKEcpVgsaG2+JzeUbTBcnvzr/l75l+vX/rLf6MOJAhcKYcuH7lFufe9qeDja9Jee7om3PyxYtf983eIOo4h8DnQI/Dj44rB8PwZX4/PKUI1Po5zks9Lvv0EaL2W2+J/Fy3BfI3egpNiqUYR2BULNfK57Z3ropV5pWOSqx4JVfN9y0duIV4dq2N1/OSNR1P995/BVvu2FeBbcZsfiUrudPtabDj/Qcf2R5mv4j480uefsX8lMzR+ZGxQ1CJV3RMgIhZG3llINpiGwA9E8VR3PQn+lv4BQ0Pgqjv4drOF33rdS9EuA604gmvYqKwtYeTKUSwcXMLI+IjY9hIjwy0PPICTC7Po113cs38Sx09MwvVqSE4GWDzVwsKRBs4d3gibNwPtCBsGR/HAyWlRezw8dwyHjh1G32AVSVWVODBH6ujiFDaNV2FbHmyrhqlwAe/43f8GJ6KqxUZL60PdG8CFu87GzV98D4AAn/3w3+KZV1+KB+47jN31McTtCNuq/djeN4BF38eOPVtEyDHlL2OhsaRACLpZVLRv9dlo12K09BTukI2+UhWLk220myEO79+Pv/jIB5HYGSYbS/j2wQnMLzYxUutHe3EWSWjjoj27YKcECTr6dE/AxfScj733HMDJ6TY+9H/fiw9/9OPYd3I/hvv78fEbbsBzrrgUL7ruqTj7nDF88ubv4rmXXwHLquKSnRsxf2QOO89ZK2Bnw/AI3vLcF6A90cZf/8qb5GcdPcGvv/Q1uOPwBJ63/SI84dpnY7RvQNRar3jti+GULKSmh6WoKTexw/2jiDQf/QMldMIYX/jqTSjbJm64bx/+4q+vx9a1G/H1u24VK/TZ4wle8doXoua6qFdLqLUzbN+4DhuG+7ClOoLv7t2HXaPjePDoBJ5/1RMxcWIR+2cOyPEbH+vHBz7xWYRBht/54/fg6IlDuP6tr8WDh49IWybbMPP8NoN5VQRmBHxSrEAophRKtIkK+KDypavn4c8EeDAbjioyUetRuUW7IeEErZVUXxHuqIZZgiSxmRK20f4p5QvM61LgRNOYi9Ut71AkDSZv3gknunCcalK5KXd1UXW1I1rvlH2U22oLbLFJUCRPTHIAmefHTDudEIOKK26/JTCA1kLePSchGYkh0Mxka6/mAlQAhsxTSxGxnZQQRDOlfZO2Om6PZNkJyGQLqsgMlZXRcQVCSqeM5koWGKEXm1gJWzi3uk01HWVKQhpEiSM1JaISIiAwJPjfJGAi32TZhqpEkbw+XisIQuWzA/5U6osNUaRJSQMVVWwSzTK4hArcPsGIFqK2LwohzpMhZQg85ny6KkFhkD9/LaUkkrUYqg8mRNVGVpohiTXJGCQQSUE1WV7QwAxGlUumsSE0NQWqaSHhkSYgyNRDKYCgxZJqKs6bxNxRTSaZdJHMIzPWeLzZ6JuxKTfwFZhj4y6hqpAoTnQicJYAmVxEMy147HGg5Z8tzry2cn75xQBsWlfZfKpniPwYnTatk20EhIoJG025fZmoyljykaUsC2HeJOfLElhoVrh2lUo0ocWZ7+FwLqm0MgQO8i+TMAkRUmmmudCcMhAFolLkvhu0bnJiu0XPVAXSos11oacEYLwwRoBZUpZrlyUQusAgtuhS30lqSfWYHqcCPhPmxHE3tBJ0q18s54bNFlsDEUFgRHWhUsrx7wFRnVlU9BE90yJNe3Mg6k1bZ/uxgsMUQwrItW3JUWRxCttmLaoZWW5iKJWemwaiXDO0QClVbRN+Yok6UaBfnMChDJz2aFpoWYoj55KGKAQis4Q2G3oDHmMLkV2Bq4UwkgwJP5gwqdgjv2wphWWk7LBcr3row/fZPsufhwLJNFsoG0JeowwHmsvm2pKUnlges1d5GWNpB4/JMmyLHzYwl9BAVq5BNzpdJaMPPaH6mSA9geEmGHBdkHLHWSDqThavhM0O4g4nywHNwlYSITFjOCxrWoxgpkvIwjaszIQuGY/k+CnghlK8wSssMx9pE3Y4j6kPzbUQCSDNAMdATEu0HsHUHPi8llB9iQi2NF2vjtXx+B+57TPPpctHnjmXg6ci0Cne7OVZbzmkKj4/t8cSqvF9+LWY21e0/vK5zNArKuj4Gvn3+WNzQPj9WmZzsJSDMm5HEWDlrcOnswJzX/KcuWIxSA6u8qKMlUBXEZhx0DZbvPnJYV8Roj7puov/jbW3CPv4/KI1mD8nEOX2FCEcweP3jlVBIZjvQxFK5sdzpUy/723nCjmD+X4V/xSVg/lxKc5Jvi28GeTxzW3Nq2N1rI6frPGDCoseb+NHUbA91mDwbYVtfiQNwT9oX3/Q73ls+Zj/yP4/0vk+Y/9KHqkM4qab7hKYwEZTiQiTGw2WFSgowZB53v+3GNrvmbDGbJRrDvY9xAZV1gLqeN8/f15sSAOlGkL4sGn5OeqLyqjRnEdsJYiWYoyyljW10epEOHT4KML5CLHO5kGqXmx4toObv/sgJo7P4I77D6O92MSVey5Cf6UqGXm8uZibXsDssQYi3nglAQIWOsBB3EgxNXUQdsvC77z9z9CeC3Hjd2/Hr//l9bjlwL349b+6Hv/zHz6OO6aO4L1f+Rw+d/NteMcfvBV7506i2j+Ik1qAY1hGbbACV+BGJmByfHQtIip/sgx9zHqr6siahCZU6IQI9RgzD86hk8VicxserIulrBaW5YZ9rG5h5/rN2HdgHxpZhqc/+Vx87tPfxPTcPEI/ECg6UK2J9Ve3LVQHMzieh89++HoEzRj//Vd/Fk4pwz9/7Ub8w6duwPs/dyPe/OyXYKg+ile96pdx7wNHsGnNWtx44924YtserB8fxjve82GBKL/8F9fj1S+8Tqyq7WgGe8bOwoGZE3j+S16CFz3/Ggnfnzi0H59+9xck4F8KKMIQz778PHSiEINOFU9Ycw4mmjOol23AtvDwqWn83Uc+jFF7QGyn77/hAQCjuPfULL47eQwPz8/gwL4lzMz7GBgaAY/a3HKI2/fdi6/edC8818EFtU34yEc+gwf3HsG9x/di5/g49DDB0/ZcgM99/Q68696FrtVRKc7ELmvRviZCNxhikyM+IXAi5HLleLDtUlRfBHWEWSaBB3/Pts0MUcwb4VBsmgIspI6TtkqCOFrRum2lYuUklCLYUoo9hvvzhp4NoGwpJTCiDZjMRWdWnijkCAKJGSMklEJRWciCBqrJYqqbaLMjzeNrElQQV1GRpyzHERUvPL0NpnEpy7zhWeQWoONTOFDCxxGZUTmTSJNtGlPhxci1RIoX0thSJRsMzzdo7SRwoQqI4fcUKvFWnYZKZtOxWIA2TRYbUM3DvDC2CxPCUemn1EHM0+O1gXNLUEfcQAVaGviq6IAqOob9k2fxQiLWWvG3ytzQGiiWZ1pnCUP4ulQ0segiCdAJaKjVYXevOzLnLBSh0kngLtWVLKNgJh8VhKa0q0rGIi+KUrMcd5VQLBm2RT3FdcNiDIJbPaRajqougjnCL7pWE1iGiZiPETVeINEDMRtgY24T55cZkFQpabA0DS5LK8QCmyEMEwFooqIC4RjVWxrCMBMAywxCWrKpAMwiglcHlhYIyBOFINcm7cjEQFELtsWcQlNswKrRN4NTYr6gJXlyRtoRuzVhpNjGObdczOKbpQ3VQCJW6AhGrIpddAHeLEixZH1HVPAR5IqykqpQB4YWAh7XVUfKar7XWiyBh5xbQ+VGsuCEcxzHCBLuCx3kFmKWdQRs5M3g2IRMmigkHdrOZVHw2BNam0gjG3bJgWOxYKQhUDJmVpvGD4ksWSNZEEq7uyOlNmSMBlpBR67JnmeIhTfWA5Xd6JqSDysAmMCKtmyzLO3ZhEqx43QTKFgAw4ZsKjGp5jUQc98It9EmYkTcbAhsjvUSEjORpmP+3UaLtPBukXRqqLDwREvgOQbQWRb1nTQPJz7aDcBzUzjVippnnlcEt7oqtXBMrl/mDSZiO2fGHhWNWsKsQxNRg9eoGDHBcdKSc1laey1m7fF85rUmlmsmr0eyNjm7EY+rKx+gmJYLW+uDz0XjhUqhSAstj7ldkcxOwkTGXqDmIejEQGggKRHCsuDEQtAMkDguMi0URWbiG9Bo4ddDdBJ+IKCgbKSpTMkkMZEFKdJOLJb+0I+QhT6l5XIt45piO/DqWB2Ph5H/w/t0/wDvhXss6eD3eYZbUZ2WK7kIa3JQlpdbFNVh/MqbhmKZRHF78j/FYoxilh0H34dwK4d7Oegi3CJ8uvkPvyDZczmMKn4lNMuBF39GEMnvqcTL9ym38XIUS0EI93rBF+3EvYrHXpjXu48/SLGWg65c2cfHc7v5lbBvJRCWQ738WP4bay9twT2WXtnX7usX5znPDszBZ69FOIejxZH//HT7Vfx5EaiuZDl+JDevq2N1rI7V8WiNH7e19T+7ffjHksn3jOdfh5iqDFHQqHwzNh2uXzOOIydmMDo+JDeCs5NLGC7XsBS0EFoxvMjCmk3DsCwPrVPzOHfXTnzrwF7Mzi2JamB0sB/GThvHb5hE/6Y+2CHQFvtQDEe3MNRfwYEj05Kn1251VG4a88BMBosbaLeactO+fl0VrdhEVgrh+Ra2bxlH1g7wncMTGO6rIdRirC0N4VSnjV953qV42998TsBBrW8AS80ZvOG1r8b9d9+D6cY8xof66UTC148cxla7gv3LDSTNGFdf/gR89a7voFQqoZJkaMQhdq3bgmYrwLF4El5YRW3MwIn5efgnA9g1hsrHKA1QCRUjaiQw+nTosS5h8y972jWotGbx5aMTKFUczE0uo+JUMOhkuPfgJN7w/Ofg/Td+BVs3DqAVppg4Oi838NvXb8Rcaxp1cwjbNpdx4lSAp191Pg5NzuCOvXdg7fBWOBoKwpoAAQAASURBVGaCw7MnMVhah1pfjK1jG/Huj/4Ldp11Du4+eg8Mi6qwBIPVKmb9tmRzpW2gUjcxWPewc8O5GCjbePDwFAZrgzg6tx/v/suP4o2/+HoEWYJGY0bUaeeftRnffmAf0oZq2NyyZRDbz96K6YkQjalF7LloAOP19bj/2CTu+s7D+MQnP4XXvu5lmMmWGPWPIdeTptmJk21Rq4wOebhs13n4zL23IV3I8HPPugb/es9eRL4Po5Rh8sgidm3biL0njmDd2edhdjlAvNgWqMvcLJYBUOVGsCe2WhY8SLkDb7hZ16py6Lh+2barbKMEXLTj0l7JhU0gRErmQk/bkk9HyENWQjAoEImATcAeQ/AdeiZVmYe0sgoBF8BhsciBUJf2TZYqULlHS5wophJR2jDnilDOJjA2NPg+LeQEVbzbV2ossV9SIRTTtkcVHEsqCBIJPwjXlGqWSj9aQlMCG121a9JGLNlwhGuRD8Og0kh6fwV+UpEZUJHEMgjaOnXe+FuiRqIyKcmowOH2RNJKTPCpW2wypUKLqjNmgBkwHaGaAlpVdp5ScxEWEZCmpiqwIJohSFTnsgJ8yvrMDwlUQJ/Et1Fh2IWdYnwmOOKTGP5ve0hpZ2ZrMNtOJYZRF1hp2Zq0MgvUlCA9VbaiPMrcVpVBKOLNiOH/mSjyRNFE9kuLMNkIM/WIeJh7SIUXIRQfILZcpezkzwUMEnhmRNncZkJAFwj54YWy3mYB54zNqGG3FZVzzwBGHrgEJnPxwkCUaWx4FYc5LeeiNKQ93JByENpVCevkuFAAKVCbpR0UcapmYyrQqNIjcLRdDWGgSlhiAl5bFxAs8I3Kx24TMs8Twh/Xs9DyNZSNWNSfMZV1VFFmtpQsWJJVZyI1OkgDqgBVWYohEi5NiiVo4dVoWRWIqdSaRNFS1MTvEmWbJwBnTmBGNaBDezBhM3MoHbFrM0/RzGhj9qGVPFHsCkznc4IIGXP4EqCTRfBYJEH7Ka3RWQbH4bpjKbAO+AFSlm3oJWhRW5Sbusa5VYrWkLZjWmW53bTbMzsv6kC3XUQtWm95rQxgeiWEhMY8b3ieM8+wbCFu8RMFAxbt5ZLzl0B3WQyiIQ0JgZVd2OHrEMrL4tYQ+cwC5bSpNW+6DuLFppSKaLSBl6tIww4MFoEELVXII1mcGUxuJwsrMq7/BBkVsu0lGCVPtZM7qkWZxSw24XEQCZSXM5Bq7CZhJIG0hnYWwjJsOJqGThzCcS2VYcmCHH5wEmZyHbJ5WpumpH4maUsa6Xk9sLQ2Yl9DUq0Bfgc6/y7hueE4YoomRHZMC3HKDzHa0krtumzF7lr9YwsmFcZMZeSHF6YDg+rZVMMH3k9F/epYHY/duPo9R1b8eZ5dl//3SiUUK+XN9Wbg5WMla+8Pc7OQP6834603Ny9XGORWYY48d6+4fXwsQR6Vbvye25g/j6CPoHClzDuCRALHYi5dXhbS+998Lt+D3+dtvUX4xvdbKaPudE3BvaM314+vmR+j75epx20pKv56X4uqyByq9m7bSrmKxWOxErDrff/ia1JVmKsT+TNCUrY2F4/f6lgdq2N1nKlBa+uZ+vDg0YZdj/Yo5u7+OF73Uc/k441EntPf9V0htg0cPjQjiqSp2VnUAezcNIIJfxERAV9/CbOnlnHW2btx7wMPITZMaddrLLaxec02UahMzc3CMw1sXDeAYKkJq2xg2C5LTk/ar6FJq5emI+ANcxeiWP20ScXwO+2u7RFYDGOU6h629A2glcWYm4sxGQClMQ+jwwOYO76Ew8eP4UkjI/jHL9yHkuOir+Jg7VgdZ2/fjnptDC953ZvhpwkOHjmFuw+dkJu4/QuL2Lp2HNU+FyfmD2H7+DCu2rkVqcMbnwzLszMo1yvYNbgDDX0Jp+YXEB/2URq0sUarwRt0ELUjjFp1rBsZQNwgsEkEiN5x4D4cdVPAT9GabqARNaEbHspr1mPjxm24++QhbFwzjKXJAM2FDtatH8B5u9fi3ocfRtQ2MNc+hS88cC9uOXgfPvS5G3HTd+4WkEBwV60M4HXPfg4ePPowvnHj3Xj/DV/Exg3rce+RvXjds58hN/XlUkmKLbIOb65NuINUPFkoGaO44c6b8ZGbvo7Lz3sGXnDpuAC+7kpAnC3CYiB+lmBhaZkxa0iTCG7JxnIrxFe+cjuC6Rk86+qL0JcN41++eiuWFyJs2TWA3/vlX0R1qIQLN27HFbt3IswSeLqHX3/lc3Hpnt0oV0dx10PH8eS+TahuqWAiXsDJxjRmowZ8P8L//pu/wuGjk3jDtddigZlhPkPauVnMX6OVjQUEzFIjzKEShJlqvHEnaKLSR7WS8sbaZOOjqauCB6o9aQ10FSAU9RPbLEWOl0rGFmGMQJzUVApBabbk98wUo9qK+VmEPFS3KqtrRgsjwRehEKER4Zdsg8p1SzJHlCxywx0nkp1mMdeLOXVUotFqGiaw2d5pstmVXIiKIarOuJZYKktLHksqEqU4ihKYPLkka06DbVtgcBrLQqiuo7XToi2OijJmB7K31yLQYbYYc/oM9jeIui3o2geZo0XLHaVA0ijMORRlGN9bZVCq96PVV5WNSPKhkCjKCxVUJmSgxZhiI3qAI6p1mOVHBZy4/2l5VO3DZGB8H51rTnzJhDxKWSmB/WwPJYTi/5hpaKs2YdXsq9RvtuFIzpxkM0qWIq3YmmTfcd+pIKOa0CDUYCwfywaodOKccn80lkCEAoRFICjxBLSkKjgnKlGWWFDRyeZlxxYoaVL1R2gkZSDcYXIc1axKeEsrJ32aSUYrM+S4J4kjDcd6EsJxFHyVxmfdFlUWbfJaVzkoUQjS6KqaxmkzZtYiI/8I7wSgkBXyeIs0jlmThHm+qIp5nA0WIVCHZUggpGxPp5OJAjYxmDEYCxAmlGZDMo+K+LZlHpXiiu9lpo4UJ7BYITUj6GkAIzUFYkkippSxSDKmKMtUT7Ujdu+wpfaBmYZsHaaajXMbsbBDJxQjf7NhhGyyEXM9gk6KlNsbhohTi6/ETleluK2bcB1fgCWVdDw3JUeOTddWUxSlbCmmKNRhDqDP/Niywt1BjLhDqy63mfuYiIqQ1zk2BPudQOy8hKwm1Y9UsXWowCQ4jaHT7upYyBwPYUhFnikfAtiiGKb9NUMaRQg7CTpBKoUVXIum58CwPCTtGOLLzmy0CTepxKR6L0oQ2w7Sdktd3zgLVCBTFZlxfdNarMGpEvCl3dIgnqMmXNtEEDB/kte6RPJW2fjMY094yWuAGVkyP23mF6KEKCEhVNb20HDhlrmOWBaiFOkI29BjQnZeRwOkUu5jwPQ7Kl+yYoqtmRo/nR9QgNvAQ9IRS7lpW4gjXq8JExWMZZKgFnXkuiWgV1qgVYHN6lgdj7dBOJYDulydlufV8SthWA5iiuCO8Cb/eQ53eDPE1yjaS/kaK90grdS0yufldt8cIBUbXvO8P6oLOfL3L+bu5Wq+HFIRvuVKNMKxfNsIwPjfuQ2Xg4+hio/wiyCKv+PP+JXW3Fzxl9t08+0kROTv+JpF8LaSUiPPqCu2BRMSnk4RRxVfrpjjY/maOVzk11x12Av9coCZz2NRwZdboXuz+4rjdNtThJNFqzW/EublmYj5z0S9WSgY4cgBHx+/OlbH6lgdZ3qcSXXwIwF8+TX/0VLpveE/0GbLbeSfHxbwPdJ9eqTg8Iwp+d717nfiq9/6JpKyKjFoNHzULA+dMMTWwXEsJQRcTazbsBZaGGKus4y5/Qtwhmgr0lHxbHzozT+L17/3sxI2PzvbQN11schmRLaG6gY2bRrBqdlFDDkujszMwyqbuGTDDlhDFr72+e/KTeKlTzgX+w4fRa1s4ZTfgMcm1iRCBSVRYVT7Tdi2J4UQm4f6MNGaEQUcQqAZtnHOhZtw/jlPRdnWsXPXTpx99sUIO8v4xCc/jlLJQ6lSxoO334jlLMKRExOo6lXMt5Zx7ob1yMoGbrx5L2peCTu27sLBU/ugBRmCUoaEmVdJClcz4R9uA30mzD4dnu4gmU6wuNAUQODUbARRiNpwBaPGINqlZZgLGlp6BJcKiiCCPuJhOO5DM2nBK6VYRIrW/iWsG1mHI/MnMOyVUOur4S2vfAne9jfvwdpqH+48cBCbt4zi7//qIzhy9+fxm392PcYHBnDZBRdgtK8mOXJ/+rEPIlyKoZV09NfLGPOG8fD0BHTXlDIQw9OlAXjIqaBWcjCwYStuvv3b2DE6jq1bNmLnhvX4zj0HceO9d2Cwr4SyV8ZY/zhOLUyh3NJRHdawd2EJy6cacAbVDbCR0oaqY311CyZxDFrTQjXNcP7uHbhl7/0IMgu1uobGUoBypR8XbFuDgydbOHrsAHQnQ812sXV0GKauY9d521B3h3D9Bz+K4QufgLmTc4g7IXRaNX2qiVSjqcJWCppJiQLhCsEU1S9SbKFy+QjERH7I73VluxVno6rMFRgmWX0Snk+2Q0uvarWlGoxwhoCKUIZQhDfFtk4AHYlFV2f4nJg4CVxoq/SlHZc31CrOknZ3pcxKCI5Cts9SNUgVGtV4qnuU20N1C3PNmMsXJL4qBYkzUWSGhA9siKU6zkgVEPJp26PazBHrm6Gz6VNlExLUpXlunNg5gdSHzHfQYZYkz3hbFGS0btIuK42nsVQMyHRRgcaXorKJdmJOkJiiOR9U11HtR2BHcCONtyzYUOpJKqkEvNJ+KjmAsbwPcgUmnydqJ6r7pIJXzaEYj6kZ4/YQfijoQ+EbYZNoNZn1JsIoZu8xj5AaMnY0EKwrvGQYVFBZ3cZeKsUI6wg92RgM+GEsxQ1sIe3Emlh0CfRsGMqSSx0c1w7BV0plUwaHyq1OCK1sI2kxu03qhxCGLEWhHVyBLsIYzqdclnkM+HoEtEr8KBCM+8myDlqPqWITkCvlFQqgsgjD0QzEpiVzQFimZQGaTQV8WXrEJuRMjpeyGfM4UJWlGwQ7AaLEg8FWVMlAVHBYmozJFI0UJYd6QEusxWFHE7UtAVXJVvFzBK8EVFTW8T2kXMaowTSXpBmXtm9p2uWxEn84IR0zATNVGEI1GpWJLLAwDbGVmwyV1GnnDaBVaRemslZZqaki9VPqwrimY1GR0fbJMhI9YZmJUlBybcch1yBtuJHAt5jzTqVbTPiZSAuwtFXT+coyEB6bmC3G0iuC1BfZXbcshzZllpGwQDcSuCbnEs9tKjtpj+X5Rdgv7dDMaTSkXVcUmDwrDBcBcxFFQUv7t1BZGLQXC7CnApQQ3xJQrPmBgE36awlybaeGoNOkfh2Z0YGnGegw45Hvr1NxG8OINDh1A0GbZwrhaAI79cVirPMakPD5pliLxbrPUpqkLerGKPLlwxa1PZw35otmyHyCcxMhi3esGBFcaRymClmKjqCJrThONNhmW7JBuW55/ZGCaYqKDZbGZFIG0/FN2HokWZGWwaIPG3aWIBRbu1SfIMksZIEqOOIHF+9/77vOxD9fVsfq+JEH4crpChp6W1dzWyz/oV6Ef0W7blHplg9CuqJlt6gKK4Z+F9V5ReVccVt6224JjLgtuQovh3rF/esdRRVdcTty5V/+2rk6Lx+EfCwAKc5LUTVYbIwtNu0Wm2l7C0OKCsmVlHxFFSOhHLP+8sfldl0q4orbVnzf3lG06xZfh9BtpVbhfBA6EmTmcLN47IvZiis1+haPd3E+evd3VcW3OlbH6nik46ddVffTOCc/rJLvjEG+p73oaWJjKw2W0JpRjYfD9SqWlpdx1lnr8eBDRzG+vgrDLsGIdMzOziOyqIjRcO1TnoULh2zETR8f+NaNsGwLC7EPL3ZwcnEBz3rCRbhv5ijWeH24a+8BWHUP7YYv2VhbNq/D1MQplKsO6vU6wqUWBocHkPXbmHvopNzkNjQfW2rrsXFzHQcnDmP/zDKuO/+JAo++8NXvwLciRHMxLrp4D37vv/0/+OM/+u849/zL8dKfeZns23LYwYnjE7j7zu8i0Xzc/t2boQ2V4SzpmJ+fw4Z1Y7hz/16MlNeiVtGw79iEqKUqJQ/Ntg+tokGjJWo+hjZso79Rw1JpEXrIgHYNnSMNtJljxKFn+MPffiP++mMfgZma0qp4/OS8QCOzz8YI+gArRrVuY8gp4/4jM4i1EK1TAexBA50owdBAGe9862/gdb//RwhaPhJdw0ClIhDjZ69+Lj79jX8R+FnyTAysHcFTzr4IpxqzqLp1vOMDHxbLsBUzTF7DzjXrcNw/BT/NsDTdwFXb9mBy/iQ2bBxH1NJx9MjD8BMX11y9G5pvYHq5gXsO7BMwUPbqGK33oZXN4sixRbziSU/Du7/8eTz1vJ0YGVuD+w4uob8C3Hd0P3YOb0FkLONl1z0de/dP4JPf/Apefe3T8Y077sT00jLW9K3B0vQMdp69Ccdm5oBWE+eeuxMn5xp45hMuwV9/5iN48jmX4fYH78Hrrn4K3nn7w/BbIVJa7aIUGnPgdKrj2DhK9ZkylROXxKmCK4R0ckNOlyQVJFkgOW3MweIzdMqGqDyisoSeRoItsVnSvtttaxVA1YUiqlBW4JCE4ptUsMkby407qWMS8vUDRalo1bVooQukXZdnJhtG6aSl4orbIUpAqt9EqcOcOdovVUYeiViWURGk1HFkT0RPgjX5Xswl4zZLXhxVTMxQUwonAh5RCxGKECxQwSMNpolYQcGsL7E4Rl11niqdkLzNlIULqg1UMt2EHDETj/l9hHtKYUtOSVs6M9FMhvaLWpHvQcUdlXQBTCrduFMptyNCojPLj1bSTCEhgg2+D+eQBRrdr2zHDdhsSoWdoDFOHqGoK6rJmNI4PRNFXkwFJY+llogqkuuC+8tmU4IggZGEGcxBNGlNtpEEHWiWg5jFLQ6tu1QhRmq7aPVMaNPkMVMTwPenTZYg1rC55qgsJJiiJZuGThuJlE0ooMm5JuBMqQCMCeI0sboyi0yUTJYFPYpFocbMOhYfMGtSsgRNHgsPob/M3mG4zH9j7l7LF3jPtmuqXI2u/5nXAVrBaWlO/DZzFUQdScVZErJ0hsuLKtQuZNRojwzV8eWx4zwy35BiSh7TiIUPBGiEYZGALDk2hEViZSU0VdZunkOBfGhDyB6LslHZ5Uk92wKgeK6YtKbLcVdZk8xKFTpLyElbNo8pG15tAlwHkd9GqdqPDA0g5FYLjVQWYZ5fVMbZDgwnQRQouGjoLOhQJSuibkyorjSQdXz4CYGTaogn3CJI5fYSwrN4ItVsmHEg2aeibNRsJCHbZ+l6t8Q6rUAv7fdUlOticSVAZuGHfLhAc7XFD3XErIyMBSfw0UlduIYrHy6RKtPOzvOzUjbRiDXJCtSNEgwWpDhUgvswPQthxJgKusA5nzzPLGg2QW+I2C3DDFsqC5Dq1TBAwuxajde/GJZjI+qQ2pVUQRHjD3hMowgBS3xCRuASXFL1GYkVP0oMeGrnYbkx4ojwnuCecNhAybYQaDGsZhtt05b5lgKZRIFnfgoi+k0qOWnDTahyDeDQSm6yPZwfhDBLlPLkkHuDwLJhMrszZSO9hg/84yrkWx2P7SAY4sjBS9Eqmd8o5Nl6OTzKRxESETQVRw5xCIByBVkREBHK5Zl+OdDLgVH+37221OL3vbCIYC8HekXIx5H//HsKtsJr5tbd/DWLc9ELOQnSJo5/+3vbW7Qj5/O1EjA9ndU1zw0sHgOq9PLSjuL4QVbe4nHK97EIXlcCar2v2/uzHHaeDkL2Hp/en+XPOR3A5MjXR/68x/ON6epYHavjpwMy/Wcbl38f++2jeazy93rUId/H//Fv8c7/+zFs2roGRyenMTBUwvJMAzu2rIdeSXHJuZfgzptvQeTxk/gUR5ZmRXGgVQzs3jKOO/cfxzMuuApjfR6ay0v41O23i60oaEW4cO0WHG7OI1oI8NTrrsQDe+9Dtephz9atooy78/gRyfSrDZXx1W/dKvBkS984JmaWEGZNhA3e0Gq4cs82vPC6l+JP/u56DFp9ePDgIZxz8Vocm1rEOZs24c0//2ZMz8zg+s+/D0f2HsWlF+zEFZc+E1s3n4X7H7gDxydPCuQ7uO9hNIJlLC8HGPAqqmlS1+EaBmqeh+WojYbPZsEUrUYbnXqKOKClS0d2NERlc0Vufiqw0UhCNA+0RF1IYsHmy+qYBzN10W63US856GRtbKiO4MDsjBS8jpTrclO97DcRLybIKhqqBDRGguZ0B9oAc8lo8dSQNZidRUVNgnO2bJM8qocOHUTdc/Cpf/oifuu3fg6XnbMHutGPD9/8aXz0+s/gOa+5DnqQwTdTbKjXMbnQxNU7L8EdD+zHwKCD4605WDDhag5c08CTnnA+zt69HW6Q4Pj8Em7fe7/Ys8qGg107NuJZL/4veN87fg+fvO8OfOYfv4j/8ds/j0irYzGehEHrWctArUJ7moNBe0gUNkfmZ1AzbawfLuOGu+6XG+21tRHYmocHZg6C2OB11z0T7//Sl3D2hlFMtBsY1D3Mdpr4jZc+F3/y1fsE8LGMQaeiSxRJ4iuXhk1CDs4J78oJOHgjTfWaADiBdewiIPTrLnApF7CgsVlULOK5Yq+bMUfYojPDjOqjrh9U1F/UdenIwgSWTfssFX20vSo4lgolUSBQ1ROo5ls2ddpUvBBOiaCQ26ky4yyWNAiztGGYBE1UBbFZlkUbzJ+jVRcIUwsGCwUI2rREWR4zC4YdIwl1WC5BCdVbLMfQYcpjFPo0dQuZHokiT4Aa35tZfFQwUjVGBZpD6BWqDDsqC0XypxRQIjSChTiOVEcx54ZgMksQ8PeSQ1iCRg+seEdVey+VlFQC0aonAIwZa5TZ5llr3VxEojSljlI5cyw8IQSQUg6VSKisqGK/5QFk/p5SJ6rWEQIs6e4VtRUtkISozPmS5lzGDwgIMgTwSiMB1XG0G1KZyMw2lmCIbZEAzRU7qt6FfswV43wmbKeV7WNngGwhwpiKTkFb8p60ahNmMX+OwNnITERpAMcy4dOeTSWeNK0CSbsD3SlDTzuIUlMUrMxPZEZdptmyNtNORxITJNuRYJvyQ1GPJfDDDK5D5aIsammmFeu67sDKmkjNEvyWD8fjsaXNXOelRKyShJZcg/wQJg0IqKgvM1F2QrRDV46NZxsKTDok0wmyxBWVWGq4MBmQR7CbBlIuQccl1xlBY+KWEDYDlCgFTAIYdhURs+pYulJiCUfXPhoZkmFndRVkhJqWzqIfnsNKRWbo5S48ZfagBt3qWpullZigneU1psB5g3ZRFu44JWl/zcQ2ThVsIFmbjpkp+7MWI4i4lkxYWiTX/FSyIbv2feYBeq40x0pxioBUZlL6klfIdliW+hAWUi0I5vU5/HmGgFCXtnIpiVEtwjGLbpjhKNcnE4njQWs3ZH3KZw1xAqNUkg8lACruHBi83pU9gHPVXRcCkE3OGVt6WfDC/ZYTTRSFWUR4zvdmiYwt+2mnLjppG3qqoxMFElcg10vXkQ/oCHtpmc1alJbyGLiwSipHUxW48DLLkhZa+z1AbyDJXBCpxgS9tgfTjARuanEZ0BqwRDYsGlzJwKSVm7EAjsvrH683KpuT6kydFwpmZELH+1ch3+p4jAcBWJ4TV/yHfjE3jqM3Qy4HV0VIlj8uH8XH5wq50+W68Xe0mfK1igCvFzoV8/dyQJRDPQK44rYVwV/vthW3caXfFyEft2vtm74jr58P/uzV1sf+zWtRzder7Csq24oqweIoQsWVlJD5/vdCuFzJd//sE74HyopgsRfurQQ589fpbdvtPTbF5+Tz/oNG7/YWv8/BX1HxSKvuauHG6lgdq+PxCMR+XDl1j9V4+/eBez9u8PeoQ74Xv/b5mDm6jLMvWIOHHppFqd/Eky66CJMLpzB5bB6NoCk5dQOJi8mJBQyM1wQC9q2vQC/ZaDRaeONzXoq52aP46NdvQb2/grpp4KLNu3Fw/hT2TR5De9qXjKCNl61FaTYT6LVjwzjCDnBidgZhyhtdYOvGdXjdc5+Mv3zf1zHTPIGrtu3CTfsekBuTLRvXSOPuORt3Yt1YFZ+++WZ2IuDJu8/D5u078LSnXYc3/dYvoq9ehklvlhuhPQdUa2WctXMnTsxNo2ZqeGjqMBqzDfTbFdhlA8cm5zAyWFfNj3GE2bCFuuPiusuuxF333IMDnXkYiYZKuYwg9WF2NAQGg+wNNKZ9oKNL8Pro6BqUPB8PHZ6C3w5RqjKEi2K0BOv6BrEYtmHZBjI/QaCnaC2FGKpVYXoR5hdiPO3qS/HFr3wbZtlA6qfoH6zCT2ilirHdHsYDtN+WDJiBjv/5hldhdmIe/3TLTXjF5ZfgtiNTmJ9t4P/5b7+GD374w/jkjTdheLQKn266Rohfe/nLcfuR/Zg/0sEdx+8SSCXmL93ExrVrYBgRRirjuO2+uzFcHsNsOi03pRdtvBA1O8a2DRvwD1/+LCzNQkdLsaFcwnSriW3rdqDdbGM5a8M1LVy0Zwf2HTiMC7ftxNe+eRtGhvpw54mj2NA/hJnFJjatH8dDRw5DdzV4mYXXv/Y5+NCHPg/HdnHuyBocqVVw/MQCEp9KNY3+Srm5Zq+GgCIpWpD7WYE/KkpOEzCmcuuU/Y7gj1BHgBeRDPeXIIi5V2K1o7qO96ZUikWq4IC2ULGmpoiSVJRWtMvR1hazkZXSFL2rVNNNxIRKVBMRKUnTZbdBljfosQ44rioNEZCnsi/Z6krYlgkgUzbOjBZMPifNENAKSxuqTvASSnkC3zeNTcS8+RaVlFIfEjakritKopQggDCKOXRUO5oaNMn6In7s2lulvEBFeRIgEdbReihKJgJAKU1Q2xLKzTjFOwQTVN0p6ReVXVRjcW7FZCu2X/IBWkCJOLifhG18LjVZhHMaTDtDFHBfWMpAhRTte5wzdQ3ifiY5cBUQqyywzCyjBZQTRXsyVXliWZWktRRht7FVMvzE+ko7J5VKtJMT9DFd0YKuhQJ+aLNMJKuwmztIFR/BLO34linXIYK9NEildZQFQlIyohF6qDUnTm4p11AFJFQ0shk3pMpNciMJKAlXU1gEGqKuVDZSZjmKxk4yF9V+yfo0THkdwjmZb9I5rmeBlrSB8hjE8r2KLyXY5jpnTmMozxfoTbVnosPWQ0TMVbNslT9JMIcMJSoSRZ3Itmll4ZX8QGG5BjLDgkXYK1ZNng/8gIPriwpOg2l6cgy1KITJqmeCc1pRA1qrqUjTpXjDpNJbyjE0sdwrFWyqgJ/D89gVxaHsQzfLUFSuBJrk9fxvrkUpn6EAjeUgAaK2BtultVUB41Az4HGdVB2kfggr5nypJm3m2ZGI8tyMY1PaieN2R8pFurGWsqZtqhWZPcmFxDXIfEhCcMYRsPhGSn1MaJ5qF+a5y82THFuJEKAANENCGO6YiDqE42zB5bXaF9Wpbjly7kSByknkGqHylOd0lNE+riMhwPN1aGw3tk2YEVeGhTgJUMqAiLCTUJUfsNH6zDIZBHDKZfg+zyH+HUplHo8vO0lUTidhv6H7CCITlscCjEgAPf+OYVO6unhaCNttlPschC2W3xiI/I4oYdmGbaQWfMRw2frBVmIWbyQpfFqhXRNo8oMNl0l/8iEJ7c8abe78wIrrgIpDgnYRdPKak+ID73vvmfjny+pYHT/yILjKFWpUplENtlLpQq7yy290iqoxqs9OZ/fMyy04+NwcRq2kDMwtt70Ksvx3xQKLIjAqQr589JZ+FBVj+Xvn71N87aI9tgj98rnpVfitpHzMRxH0FVV1xVGEcb3W3jxbrxd8EoZxvk8HTfPHcpu5Dfnji/NWfP/iseD+FItWiq+Zj5XadovHPH988XHFr72vk8/3qvJndayOn9yxqt579Of4DWewTOSnWsn39Bdei7O2rZdMqsNz03BSAxHVHhUTdmIioHrF1tCOEtD41TncRm2DUsH1WS60qoaLRvbgK4e+i5puYuvAJuybPQi75CFp+HjKxefhk5+/Sd1Ya4A35MG1LHi6idlOS8LKmZHUN1rC3EwH5UhDrVRB2bZgD7FZ0MGFF5+Pz3zp8zh3z2asWTOML332DiRZjKc8+QK4Xh0PPPgwBgb6cPzECWzoH8Y9hx7Gwqwq73A8E+VKBbAyPPHcXfjGLffirPPXozHbRquTIIiX0V8hUFOZWeftWI9ffcuf4i2/8UY4foxj5TaWlhdVcHuZlkMgnA/hpiwbCWH3OWgf8VEf9TBcHsCBo1NSOuC6Bux+Dxdv34aJU3MC9IygjdCo4O6H98GtGtg+vBXHZk7CqWSwLQMjzhDumjqAfsPFR9/3WTzrlU9HYmYY1vuQulTdRBLivmNsRODSE6+8BM9/8Zvwi7/0c9g8PoKpziz2PjCJn3ni1fj0t/4VmWfgf7/5Opxz5a/j+W94NnYObMFiYx59ThV3HH8Y527dKMoLzv1YZQDfeWAf2u0QF+3cjDuOH0I9seGZdRyemYBddXDO6CZMzCwgtHwMVyuYbndghZGsjS2j4xgZGsHc4iKmT81h7fgozBJw4sAE1m/YgQePPYDhvhHcf3Afdq5bjysuvRJ3P3Q7/ux//T5++62/Ay02sDA4gqmZZWR+JICFmWOSv9fN40sIogRu0P5Kq6P4IZXNVgCeAnfivLR5d0mGwZIFgi9ToLBlEYTwLj0T5ZXAK1FE2YiofhHQkCFiKycLGLgNBDW0XUv2lmotzdezQENa4NjXIkCONl1LLKgsA0gTJrsRSyVdtRozASmAoxKp22gtOVh8nA4zTsHSS1pLE2ZY0V6seTA0whyVZZdS4WcQYjIPkK/Lm3xCSWaI0W4ci6qNcI6ZgFQUcU3Szku4QpUb5y2NA8kAlBLRmABONaYqpZqaR4GqtA2y3VhTJR3kAtJFSvBEgEE2wht53ZAsPz5OgCf7YJnRRtszv4oaToPBBt+YiihqhEQipfLpuA9SpqLAH7eB8ycbwbwwwlOCRXo9u5CXPycI4mtSCamIEvdZtROnVHwxV06y6Hj++sJyTMtFlrBkwVSZhJwnUT5Such9jxF0s8no/uR8JSwR0SOBd8InA4IpHbrYZRVglDUpRRJKnUjVoKzFDuBaCVK2mAY54SU0Uqq1kmcgaLIYgs9LpdwjjFJRGXPQcso510yq2iyxOQsi5PqyyqxAEHJFgELmRzAcRjE8J0EYu9AzH6blqbxB5tiFLeheWSm3OPcG54Bri6pFoeLd3MNE1IMCz8m5qMAL24BnQk9ZtKDKLNjInkYBUuayubS1ZlKyYBsm2p0mbKesilVo4ZWGbCoWJaxQZWZGkViVzW6upJzPPMcJ2alA49qmEtFnaQWVa8wCpGpVZTUKzub1gR+khEG39IOvS5syM/dsUQCGUQCTCj9pd1aQmFDflkKWGIlXRTltok1zujTuZkgMBxpCyXWMuJ6MqliUqS6kAtjREvh6GXq4LHBdjm2ggDIPH23AbCUWG3g7huV5sLQU7cyGpvmCrAOfFytaXAegx/xgjWvQgJURQANRECHkGvRbsFxXrofMJJRPkmjLzQIkmqvWb+yj7csnTChXgbYfw7FiJJENzeD11EbCg56w7ZvT6aBDBbLkASZoRjocz0Bo6DA7icw/YT3XTew34FTK0lbtdzSUrBQt2us1wkq1VniealYKy1PKWIJu26FSNdc8Z/jA+/7vmfjny+pYHT/yKGbMESrlDbHFPLfi9znsKv6ckC+36+ZwrGjBLd6UFOFg/hq9IHGlMO8iVCrm5xVHDr0I9HoVFzm87LUf97bn9kKzXhtscZs5aEGmoi/fnt59/X4Q7nTZeb3QL99OHh/anYv7nasae+dpJevtShCud/7y985flwC1mPXXO895buIPshMXFXunO26rkG91rI6fbhD306aGezyPtz9Gx/qHed9HvV2XpQwLSwtoLnYk28rnDb2RoTkbCNQrm5Y0q7IEwww0PPeVFyNMIpQGyxgcq6GxEOFXX30N1pWG8QvPewGixjyuOu9sGGGGDlLcMXFUbnjFiueaiKjoSFJsHlkHR7OwfXwIW9eOYfvYWpRdA0acoZF1cCpt4KrzzsPWi4bw7Tu/ia3r1uGu+w/j81+5TZQtr/2ZF+KKJ1yJr3/t2+joTSwuz2J4eAh3HnkYnZbKa+INvt+K0Ok0YWoO+vr68KIXXov9hydw5NQMkjTAYHUQC2ELz7/sQsxML+CuOw/iF/7Lq3Biahq3nzqCaK4p80TAw+BwQpzaWB/6yrZAomwmRanmYnhoFKf8eezauQk7d25Aqb+OX3n+C7FuoIJaHGNuvo1Di0sI2gtYNzoIK6rIjfplezazJBKRH8E3GgISd27agje95fWIkKBqe1ge9BEtAlsGdkim195Tp7DvwAze+9kv4jd/4+exZeMYZhMff/5H78ebX/ICfOG+m1SGF/8h9A9fwx3f/BxqWRXt5QaWWh14JR3jzoA0Jy+2Ghi2hnDrvgexGLRx6a5d+Npd9+L1T7kWc3ELL3np1fiz334LNg2MI9YJwyJUEht9kY1RLcHa8S04b9NZ2HfsCBanF3HkxFEcnZmCVzERLiY4b9e5+M4Dd2K4MghzaAk1t4L/eu2b8axrLsQau4QP/Z+/FFXlkeasKJIk5Yp2SsI15kR11ymBDi20CuoQsMkPkEWRlAEQSBDOEOAQmlB9QqxE+EOrIu27DkEQ30PAlwIDmjTzUkFGeMP3JyxUIEv0T5oJjQooNnZ24QdhCm+vuY55UxsyC01+QBWXAb/DG3qSGQUoGYZP6Q9VfSzLMDXCEUIhWvq61lG2mRKGWbzxph1Qh02QQhUVs8kEGEqtqrIj0zYqaiJalBnkT+hGMzTtrkoxl5i2bE+qMaeNgiRlU47jUAAXf9huK4WZeHcJiDRCl66CiQCJOV7SNNu1jmrd0gt5fyqwaM8juCHQ4/5yX2n51FWxB8s6qMQjIKVt1Ehh8mBQXShKH2lAUeUNGRuIqQqjYpE4gKCJ28T+DwMaQR2fJ+IpqgqpFaQKzhT1m/SGMv+OOXRRouaVRRUsWhCAQTmhI8pR2iUV1leOXmkM1pWlVdFbwCbkJbjTLSksICChWk9KPphxx1w3yxFIJWpCzhmPh66LzdcweWwi6L5o4BDxWIsj3EAidmZaz3loTbT9CImpGo5ZGJHEKSxR4Knp4bGjQEyy7ljwQfMl15ahQ/M7kuuWGLRca6rYhVmNFLNFBvQsEMCqJWwTpuKLmYeEvNwYHiMLceoh0zwp9WCMo6gHkwAhLalcEyxy4YHotAVAp75agwaPJ88/lomwJMmqisqOylLpT44CeB6PNcsymInIcghm/CWICOTiUOzSbK6lulIr8SuBrI2MjbFJDEfORB0UxiWpJ4pTHkexikeq/ZoZeSyGUFZ+V+CdTRWomUn+nWbzQwFfHVrbQGpbkvnoOASs3dZoZg0GAXyxkKvenkQCMjtiUxYATa6bteXvA2b/WaaOILGQthti6Q94rAn7uW5oGU7Z7NuS7eebWw6VkbGoUI24AZ1QkP/tWjBtnjMdsQCjFcIkqPZ9NNmAzfOOjxNYmiKQLE9SQVm5UnahBQG0hI8ndMvgVlPJdaVtPDHLgBkjsR05PVlIwutikOpoNmI4Av4TLFO1aPC6ZkD3CTgNae5lK7WlM0OQKuAIsa/BTjpYCjrqg5YgkrkyshCmq5qbk0hDGtK6HyNpU1mo1iut4atjdTyeRl4ykQM3/imCIQK+IlDKW2/zUWxQzYs2ei2yOSDLm3EJfPL2Vb4v//FfbIDNXyNXw/XCK95M8OdFiPT9biLz7ed7F8EXVX5FeJe31+aAj4At/5O34XLQxpsDPlqX89dfCfDl+5W34Bb3I58Tvn6xhTjffz4+t0Xz+3y/8/cjcOOffDuKc1c8NsWRz1vxPXJAmNu1aXemErD4/NymzTnjfxehYj5vvfudQ8Hvtfq+9TfkNXJ4ebrm3tWxOlbHf3zk14nHGqQ/1oCPkPE/y3jbY3Ssez94+o+MMwb54jZvugy4tgatlSEOqW4gDNGw3GhjLukIVJAW0STDjV9/EHpioLPQwcShBbiJhue/5Y8xk83h+k99AjOhLwUMjaiDIdvBwuwiKusq0Pr56b6GmmvDgYFnP/OJWFetohPoGBqpIVyO4Gkuyv0luFUL9dTGzffdi6UTEaJyipNRE1u2DkIrabjwnM0wKi7q/Zvwcy97OkwjxVkbN2LL1s2o2TUFgZjpxGlKUgwNDGH3hvU4OjWFD370i1g65aO9EKHVSDG5MIegmeAjX/sWOmGEC6+6CEkQw49jjFVq2Di0BmOdMrKQ3rwEg4YlsGyuFWBAlBW0ZyVYM1xDNavi0NwJsbQhDfDOj38Cdx2aQmS58MwIA04NO7ZvgW8EWG9ehRc/40rcc/wobK8CW7fgZA42uXV4iYbG8iLG3AHULBeX187C9g0DOD57SG78zx4ehlZndluKRuhjCT4OTJzAVz/xLjx06DD8Tgiraos6KosMXPTk52DLyAiWEh+D9ToWF5ZRKlkY7OvD9PwSvnz7dzGQupScYGLmpOT23f3gUbz6wudAD4H3/PNHsBg1MFgt4ejJU2jbbTywfBK+bqJs25iaOCEh/rxJnG+2cfHZZyGZaeCm++/Gtx+4A5/92BelKGFMW4sg8/Ht/V9H/7pL8bUHTuHhmTZmWzF2bDqrm63XDc2X3CyyIgWBhEHJjbch61EaTHVdlHeETnJzL3l8bC+lWo4QSDXPUm0n1j9CBJZWyEtSmUZbKK2BfBxVQdSzEuYRVFGB4ggs0iJmhlH8w/eKJdNL7JQCsXgTrYANFXC0K+qGK2FuhB2UVcWM76NtziR8I7FqS6YXM8PEGUuIwkZNEQm6AuVoH5bYLu4LuUXAG3eCrEBgCTPXhGdQ1cRsLj6Oih6ddlhT9p+KuizzESdM2dNgMwvPZh4gg/JZHkEep1R1MvVxV7XD8hBOpuVA0/hM7iPJAGdHeWxFRyb+O2UllcIKuYmnRTNGQvhGOMWSCi5EWkSZ9UZwZzqiiiKhERUjISAVXCn3QXXQyjbIdlHtp4pQNKqKKXqUI6QhtThXar3Q5soJJyiVlUMQScWd31HFGpShcR9CAhbKMvmaGiLmPkppB22F6sMMsRJLqQAnRWXJScSitPoaogQlhONeSmGBLFuqzQgTYwFC3Ew9JgilaowTnSLx+TuC1kjAi1hSCem4zXLNsmTbMm4TgRgNkLRlE0TSOswSDuk5Jcw1Efk+WZZkLlJdqEWEXLGy/RJsE2AnCSI/heGVkOgWPM9TFk5aeyNeH/lWKoOReX2mU5KMwSDk3Fsyhzwv6CbN0UxqWHC8GEkSSb6gqGFp/+SHALTI8rwjYCWMtHXwChnGIULm3CUxgja95TosKf6wJQ+PyjgRl4UdpFEDduYrkM05NVVOowBTO5R1wnXFnDkB/ZaOgDbZuANdo1qNQF1jNbCURUguXUDMxuxNguUQWhQgJrhjFl/AeYwAgkYWzWouksSHO1AR1bBZLwFBALaFMANTCxNZD2yfpd3fNlhIYQGeLVmAUrjCxS8echt22UJqV4jiBF4yjzLhJwNGSfJH47In1ngYDspuBr1kQXOqonwzun/3JpoDjREERKchiz7Y7WFCJMQRz9VY2pGdREe16ojilpc2bjbn2m+0EbGFmdsukZ206XPNm6iUmAeaIPEp0HTFsk7Zs27Tvp4hC3l+Roh5rQlYCKIge+I4cLlGeD0yXSQtKn0tGHGAiOU7mQbbIhzkByvq8xGYDqJEar5Xx+p43AxCvBzu5YMQJodNhFmEMfnvaXHlf+d2oRzU9IK9D0QvlefyT1ERlhdz5IM/J1RayS6bqwOpnCveQOT/XXzNlUaxRZf7ScVgDvr4dSXIlMNH/iEAzf8UoVRemsGRt+rmdlc+prh/+ev17tdKoLU327Bo+eX3OXzMf8Zjcc7Qbd97Dc7hSu26+ShajnMI1/v4fM6Y+ZfvRw4q+R4rZRzm+5k/tvh9nuMnVuM/f4coIPkenLei7Xl1rI7VcWbHYw33Hi/jsYaMxXGmQNjjcZvP1Ho7Y5CPdrOjE0t46MAMWk0m46tyAt4oWSV6jZRggDeL9X4bG0f7kRosEQA6cYh+t4qglWLIqeLFF16B/uqQAKvh6iDGBioI0hhpmOKS83dh3Zo+XHnZxRjur+Ed178P+05OwzN0uHY/pmdbqFgumgstYClFpX8YZ61fj4eOHkRzsoM3Pus67Nn1VAz1jWBoaBAf/NIn8fCJo/jMzbfh5NFl3L/vADZXqjAHNdSHSnBcG2s2jWDLWWvglUuY6/iYmFoSi1NMdQEB2VID7TRGKwvR0hN4ZRe33nwrUsvBlk2jmFlsYO/DB3HNlU+Fl9mwl3W0fQ0vv/xavPQZT8XPvvIFuOCis3DZpdvxxIsuwsaN/RiullAqW+gveXjTzzwLu3asw4MTRxGZFpqdBHc+cBQnjy5hof+b+D+f+RjOW7cFx45O4dJzzkfEkge/gslGG7NJCzPxMrTIwL75IzgwNSc33GxdDKMEW7dtwKUj6/D6Z70ah09MSVPjez99A7516EEYsY6YUKEd4pnnXoDf/4PfweZ1oxiq9GE+mMfhhRl4tNtON/GCq6/G+sEKlloZXvPMl+KK3ZfiS+/7U7zgWc9BOKLhnZ/4GF7xmmfjyIlJ3PXQQZy7aQ12OOvJ8xgUBd9IMK0voFItYf/USZy3YQsiPcPtE8fw3EuvQDky8dY/+U284y/fhbsOHUKU0kJm4nX/9SVoNpu48ILL8Y7ffhm+e3gOxw7MwCqVlVqKhRoSuqdUXaRsEsZPlYwogVJR+kkfKpU8EgTHG1/CN6rjlB2PWWPEE3FoigpTvXSKiE2PsrypHuOaDwRyidJHWjEJjtjKSecdoRotgioHjfZcacNl5pl4GHlX70hYoJS5cNs0S+yBvEkW+MWb/m6pRyywUIPpMVxfQTKqkyjWUiZM7gOhhWp7pRqHhQRUyemaJziR5xSVWlTVZKklWieqB7l/ER+nswVWqRv1mLbarNsk2hawYbJhIzOl3Ze5g4QXolpkwL/MaXfeE8Ia5uOF0FKdrndkBLpUDtrKriltxVReKvQmwI3wkziKG0UlJA8O8/oE3BB+MFtMijDUzb/YbYmvuB3dzD2+r9htxTbJY0XLNrmJLTZDaQulYo/ZYLRqGgQXqeQB8riLwtC0pLzHQkegaeYQhHJrFLBk1p80YFNFp2WwRI3IxU1IyCzDUFqFma0mmYRUr0mgI/eBwMOXchZC29ThezmqAdYjQO420UomH5AQ2PDYU4JJK3HMo8ZMuBSOV4FJZRhpGl+fjbC6obIhO0oRalZ5nAm+mCUZwC17kjXIP9IMLI2ySmFI6Kyz9cDUJTqBRQ4qy5CbzeMWwasS3tC2HkgBjGGnSOOOZBXabHelYosedx4rXscTA3bZQxRk6DTUuuYxIOylPZrzweIREZiZPP+4lmgltWFJ2YgF23XUHPHcljw/8lRC55LAOFkbZhmp5wnUddnGKzbitpzPYvdMfYFUzI6k7TcKdFlzBFsIeR4H4KkZMyfP1hAydzMN0QwIhwl6ea440AKCShbD2OorYW0YwQEtzhY6TZ9Bl4iaIUzPlnxUqgJji6o6LvsISctHzO2nCjWJ0YlcKV3h2rFZBMRzNdVRMlpitY+ooqTNnee9znPYQEIVPS29ZGgNX86bLGrAcDMpNtE6EcysA4uWW53qugQpy6AIsNnqrMfQEhOOoyPkh3PLVDe30ZZGHBI9Ey7VjE5JgC3PMRa+WA6BZ4QwcVhsjNRRqlsOyzMQpY78nWOVPFWQwqZpj5miqnjGiDIYUoJCqzihcAKr7CBiSZHhSMZtzP3ieaBpiPwYaZuRFWfsXy+rY3X8hwYz+XqbYjl6oU9RwZaP4vffK4ToUY3lFtMi4MsVX70FDrw5KKr9imCLj+2FYMXH5z/P1Rr8ypuS/MakF0rloK8IxHrLIYrwj4/Ny0FyBWL+pzhyYMaf583CxZG/Z64kLCom/10pRncOcriabyeBJ39HqzQBnLxeN6cvn49eJWY+BznUKyop8/eiwq63rIP7QIiYW21Xes187oqAL//vHBCeDgqujtWxOn7yx38mldxPGnh9+xkCir3lXD/uceYy+V7xdGQ+UFtbwkDmYh5tpFMJBvs9HFtg/o5Sc3QY6O+nSPs1ZJ0MTqKhs8DSAqqQUjj9tBtp2F5dg+rQMOZm53F46jjG1wwhq2QYKg3h3iMPoy+y0NKA5nIbpdRB2SuhPjQsyqjG/JxkYM1bEfzQx3DsYHxsDe4/dAxbxgawf/oU1o4PY6GxhE4SYnS4hpmJZWxauxYj/RXcc+AQ1g2PYdOaMQwMlnHfgRMChgb7xzHXPIXRcj8eOHI/ThxekhtwWkqzmoa0meLsNcM4PLMgKpHBsQqaM01pU9QcF2v6xnFs6jhMh+H6JkzPwsb6Wnx36gHsqm3DhnX9yJIWfuP3/jee+7JnI/YSvP7KS/Her38XL3niBfjQ12/Dnu3bJKdo30PHsGHLGpwztBHbt4zh9r0P48YD92FzXx2+H6Hm1nFweRapFaMUuiiXS5idmYft6KodU8+wvdaPNdUqvnn4MDa4AzA9DX1VG/vnlzExu4AkiFBGCaURE3/6qlfi9z7wESxFIcJOivNHRrCctvGGl7wIR6eOI/AzfO2huxBFGV5w4UUYH94E2DGu/9jH4Fk2ovkIa0e34O1//g687NUvhGPG+J1X/wLO3nY+Pvr1j+O79z6MowtTqNtVURexkXPXurXYP9lAEncQ+k1cML4HfcxxTBP86923Y+eajXjq5efjT97zSdjDA2i1aQm1UB8eQhaGQMeXcgCDFklad6kkkwgppfYiMCNoyyEU23MJmUTDRehGIYrk0ymWQOtYTEhGSCg2UEK9DCnz7iJaSVWWG1+P26hRrUOQR8JNMmQom6lUHiSG3NwTmiS6o9pzDZZbsAQhVkUMoiQjKCL4Ik5yYPAkY1ZapFpoCeEyqrkoJNQ1hMIGaaEjCiQETAWKEezRJsjMM6r2xDbObTRMCfIvWQkCKTigxZnFJFTYUSFGNWM3UI6qxzAS6yrPVeYUuo4OX9SFulI7Sh4e51wVVERhCsfQVCmOqHUUHOAcxSmbajVEfL6oAS1RGzJnMIlSxMypS7vwkkoggWUK3HK7pfBWy2DaLpKgISUPBBu0rdKiSL2fFHtwBgnV+N+pKhLgcVVlGBTC8XkOtLQjcx4RZtK6y2w4iyZPQlmWd1jqd2I71engROgHYrW1mJPG49QORFmnDLJUG3IeFOTLCLyCVFRaZLiMHJB1IQpObkwigJjzJBCNEk4CTELabvYjLYwJ4ZJgUP7ehUFbMYtYcuhHBEVQGyqbZCZFHMyLc1QunQBiTSAUbbe00GapCc/VEQQabCNCRFAtZ0IX9Em5DAtd6Av24DgxOm1mqVFtZQscowqQH3w4JU2uHVTBSaMxCyzSlqzfmOyN2XuWDp9ZkYkPzSor8EzEKO2stHjzeMUIQgMWc+XkHCP2JECmPZ7ZcVzhXfhpeHJe01nLsgfCPeZSpmkEi9DXNBEGPlzbE2jNv6wokKXamGCf88eTxnEtdJYa0CplpM0AmR3DjHRkFm25hqxxrlVeLwje4pIpLbJa7CCTeZPTU9p7HUOtn5TqU43FOXmBi8qOlNfgueDZCIJA1jphaNUxEHRi6BUq9Hxkpie22JLDnNsQqVXlwpM54XNMPZbcRataIisVGM+/cziXppUgydgITHirq4xQURhbMNIQoTT/dhB3EjiusvKKstZiBqIP6DVZw47TAeMaWfAhS7LhwywZkqmXsQ23Q7WdhzhoIghtuDbPIQN22kGYsZU5g2ZVkPlNgXuR40r2ohEZsMr8BKQjTc2EfUkQynWU+0A466cmnCxUQJOlSbaLDucu9vH+D7z/TPzzZXWsjh955I20eekFgUxvCUU++Dgq6fLcvuLIiyKKTbu9RRw55Mmz5U6nvCuWVKxU3tDbgnu63LniKBZvFIEmVYY5hOwt+cj3q5idV2zv7X0/ArK/PvaVf/Oc4nbnc5vPdXF/i69XzN8rvmevXbY3n68I+PICjeK8ny47L4dwYr/tNvYyY3Elu7FAvu5j8jKPYgZjvn29z+kdfI2fpMD41bE6Vsfpx2rW3k/GePtjnMn4mGXyyW2nKA6AWa0DV6O1iFZCYPNQP+IwQdlzYHdSsVllk7Q+ZYgsDZs3D2LtmkHUKhWsLY9g2BhC5PC2N0O1v4KhgUHEzQQTB6Zx1wMPYlNlCItRhB3969GXVbBt42aMjY9j26aNqJY8jK0dx9otm0SRNF4bRLM/xcPtEygNW5hMFXBc1tuwqobk+Z08sojGbAvT07NYbvswxR68jJvu24t/vvlmsWa1Wh2USzrO3rpDAumHq3UMbSlhbG0VG4ZHUA9trB+v4OjiEq45/3yZk9c/8wWA52F8dFyKCma8SSR6gmYQopP4WG63cGp+GY5m4+jCERw+Mo22BrSWj2Lr0AD0SEOUethYX4/jSyon6+77HkbdLuNVz382WsvL+OJ93xHLFm+E4kaC5137PDimhal4WaxV9bSC2E6wtLAEz7FgWgb6PU+gAa3Ek80O1lT7cd/SKWwcGoIfeFg2A3IKjAzX8MZX/Ax+/RnPwy+/733Q7BIs1xAQevfsJKaWW/jMDbfgxtv24aZbD2H++BLGjTLKgzWUNeD3/+p9aIUdHF2ax67dm7D57Bp+/22/gkQ3MFoexXu+9i+49pdejyNHTmHi+CxYqnjgxDFcc9EejAwN4K6pQxgb9BBQLFYx8PmHbsJtdz+Mo1OTmG82MLk4hVvvvA+mq8P0PNiVGsr9daXMavtiqyMao8qHN/ZUtEX0x4niihl6zGJTajLaykWxleZQhqowZscRgGT03slNsjSb8rFUehH2sLyC8IEyMhY2JF1gSPwg7Zkqjy8zbVW+wd9LzwJv9GnbtKFrEQyWKVD5x8AwndsgiXGiGE2ohouIXHyBJrTNCoRihhVRI4WzhDVs0tVYvsI2VAOp3rX+MgdQM6RLQko5WAgSptKomjIj09TRoRwxU/ul8tWIAmLJ3WN2JmE24VBC26U0yxIgZgjESsgiAVU8wuwzOXOTRFReHLwGEInQHiqlD4QNnBvug87SAKqRdLEcEgxwX0yHGXC0wnbbcpkLGBLb0UKsCgSo+BFAR4UVFWSmDsPicVFQTIHTbg4jVUAJ7ak6UuYrUiVIdaIovkiGWlJAospCLClP0C1bLMMsjeBeEXIRFTOTkc2fAlmZByeuRF8pz0qOACyuO+6nQNw0EEVo1GwLlGI2IQsK2PJM5aVYphEpWy9VdwSXAmJUEQlVp2InN9RxE6syjwPnMu4gThyKsERhyvYInWpLKt4cAhy6R6k6pGVate3q6MDKqMhUxSvkZ6IFDLkwI/jSYKwKP3SDtlZmGCawy1VotKcTKuo2PDdDREu5gHIDcUBlWSwWVMnTo9XbMZCGHWhGSezxJq2qiS7Hz3MMWKYjwFzWHEsrCEcJeFMWNNmqYZequczC7KlTok4liFIfClmI+fdMYkmrMvPw+GGM5ZVh+qHMj1srSw4klX2Obcl+pQYbd1laobIT2T6e0QKdpmgHAWLCZD8EHBNZYCBmpiKPPUEdESobbbQMPs9QP4IlLdwKtDFbkBSQbedZyRIrK2G+rLNEF6WnZOfFgdjeeX2grNQWqXsqf28GzD+k8q4dQiO4TKi0s+GzDKPE+W6rNcZrmGR8cu3bSDohtLCJiK9d0mFSkRdbQBIgELCZwDETBY95bpqJfKiki5KOcN+Rx9teGc1WCL1chWvz4hkIqOT7Me+PAFh3LPl7ke3Lie/AE1VwGyUngWPTGk3VcoJWYivls1NGO6RaUYNuGbAJ/wlnqSin0lNzBfQyS5VKWpZ4mF4FsVmSzxcIceUDGZv5f1Rcc1uodl0dq+OxHUVYV7SWchSz4/KvBEs5dOpVgRUBH8dKZQ0cuT0zf27ejts7crUbvxJq5d/n25Nv00oZcHkuXf74HKrlVldah3nDk4O0PCsvf2xRtZjPSy/Y7H1vQq/T5e3lqkX+jDCM25fDsl4lIr/Ptyufh96RqwmL70/Qlj+e+9ZrDc73s1dRR/BYhI4ElcW56x2Ec/ljcoUhXyO3Nhdz/viefEx+jHO7bw4IV8fqWB0/+ePxZIN9pOM/kwLxbY8DwPdIxhmDfOcOD6HWV8LVF1yEvsQVxQ1VMbxZY67S8EAd+nwKa9BiEr3c7vNmqVx1sGtkDbaOb8A5Z5+D6tAAEitDSS/DdUzMNZbhOcquW6vXBHydbC/Jlt97bD/6+0piqaOVtlLrw7r1mzBQrWF+agbGQgLDT1ELy6i4FWzZMoYdI5uRGjoaJ9uiqhk2+zFQrmPt6Ch++w1vwprRzVi3YSfq9aoChtUBTB+fhWkaeOjwQZimh2ajDcsqYWGmg8VOG0PDwwisGPv3zspN8Dcf3IsN/Rtwxz33YXy4jqnFJfhhhqpfQcUrY3CggvFqDSPlQTQWTgJ9BDU6jOEqHtx/FC9765twuNWEXtXxgS99DccXjgnc/Oonb0C1auGbd9+P9334c/ilZ1yNNz7vhfj7L3wR39l3J9aM9OHP/+8/4uDCAiq+i3rJga0ZqGlVOR66bWJTrU8UL50gxN6Tp3C4MYe4e6/0jWMHsGC2sXyyA7+dYPpkE3/54X/C//riZ7FrzUbMTM/h6ssuQNPvwEksbOtbj76wgon5U9g3/TASFmgMrcN7PvgZ/Ob7/h6vfc7LMWyPot8r4zd/5y/w+p//H9i1fSO2rRvHHSf34977DoiKYzmdx7XPvFgs3ZvXb0UnaKOlRXjry1+NLVvX4eTcKewcXwvN1XGofRQNo4Wr9lyAo/Pz8CoWdm3eJSUEzLRjgFTcbov6jVl6hFEEeHIDaVLAogtQoi1O6I8S8IiVkMCMNjQqpJjdxhZU6fHk/TcdoZIFp5R6tAyymZkUhdBAWlqpGiTrY9MqSztoP+WTpfhDlbjwvaVZU2zEzAjLpHiD7b+8aebNMxV9VORIphvzuuSmmhCEr5tIQL5gdarppJWXtbTMdVPZYHw9w6LCiYUbBFc6RBuWKOxJBR33Tzc8pfyRYgiqtQgpxbsrVkrCCsIz5oRpMZt1CUSpoGPrrky5stCxSIDAlHMr6rhuQQ7tmaKCZCsmbc6Kg7LMgYMZh9w3KT6gAo2FENI+Qit5KsowsXiyjZcAij7IbgkJm1epMBRFoRwHgjtLAB3BCmdJAQklVBaIRRBE6ML3pJJTZHyUJREQGVKUIC3FRvy9fD7LcQUS8QgTJnPbxCZNtZ2mwRWlli92WpY/MJcwJMTqFmJwxRDQUZBpsniF6ylI4HqqsCEgGCPUFJs255FgnzZw5uYR+DGLj3Zoqho5Hd05lhZv7r8Jy2H2oMaYMmSJKVl8WcSyBq5oG6Evi1c1NttlRLT3Sosq8yiZoUkFG6dENRQLcKbii9mFug3TpOKUpRc+LFf6EaC121KwRIWs8GiCYIJHAjrmuxkqg5FwiMc/DDqgQEtaYK1uY3Ic80yTtSPwVfInCVe5sHSxlUrpBks14gSVgT6YlkZ3roBHG8zOUyo/iSukuo/qy5DKcJ5/plIzJkRHtARznfHniVh4IdmJoSg8qfQzmbkZKkUiN4FtynKMmRcoSlBNcutMk3A8gZlmcHRH2pYzK4bhNyFSWgTQwxSpz2sQ8yE91YZMLTEBIa8JJt+ToJCWWq4/G5as3UyUlVraRsoPNyyq9wykUQs2YXNEok4lcUfUrqIo5v4bGgzbQayVBZBxvSDsyIcJusPX5qmjIwxVhiLXeEjVpucoKCnZlFSY08IMlCu0QHdEuUiDMc+dkB/OyXlD+N9SzcIJy10IfXWEiQU/dlDyyJojBGzh5d//rg34/NCFNmMLndhGwExJmzMaie1ZFtH/x957gNtx1nf+3+kzp9xedNVldcmW5Y47xhgMxnQSIEA2lCSUJORPkk0eQnY3QDbJbrJkN0sahGwqBAi9Ggy44N5tdatLV7e3c870mf/z/b1nnOFwBTaRsUnuy2Mk3XvulHfeOdJ8zrckfP8JRW2q+Qmw0ESe+DAcgsEcnlB/VUjDxcQCoqWxNJ7pUdhoCXkInwo1Vieo+0H5boW6rgyFCMY6VWRlW2dh9SngD38tfr8YTCPUorqtDNA67bJlyPXhuT+R33eCrmL7ZYBWKPvKoI/bKgO0wtLbmTdHWFmcO8FdofgrrL78OpV7xdf4kFUAUarlyq8vjrc4v/JcdKrjOnP9+F+hPixy9gQkluzAnWUqZTsygSN/z2NazJJbHBNfQ0Ba/lr51+K6F8dR/J7ZhZ2lIz+JmVRLY2ksjX9fYO4nGVA+3ePJvEcXryniMc7kOIOZfBoaSYTP3XQ7Gq0QV51zMey6hfkwxjzzlviw0U/UoMPpctE/0I9tmzfCy13smplFl1tBI2hg65q1WL92NfoHBzE6NYPmXEtaLuuGi2A8EdUUH4x3LFsugGB8bg5xGmLVyhH09/bggvN34oaXvRrPff41uPa512DtWathdds4e2UP9jx+AnOzp1C1PAzUugXA9A50YWT5EC674jKcoqKhYuP8FV0YT6bQ3duHnuF+dHtVHNl/FCdOHccnP/NpPLZvL2wnxsqePuxYfRZOTZyUB6Nzdq5FVa9gfs7H0fnD+O4juxFOBmItc10TaweW4ap1vdi+dhWqXT1oxS2s3jQIt6mju68HMydP4KcuOxdbu9ZK0LgZmfB9IGglqFereMe7fxaf/fuvyYPku3/uRfjM7ffhU1/9FupWHy49ZyeaWYgLNq3Gr//UGzGZzOJ5F12OFQP9GKx1o5VEcHKgXnNRtx2sHlwhyqTpoIkjh8fxi6++AQtTER5+4AisBWZsaejtq+DytWuwoj4E3a7j3E0b8IWvfBcNP8DOjauwc8MK3NfYhWVGF6yqjrOGVmJmfBqRnuDcKy/AqYUpNBHhhWdfgute+jz839//LwgbDUzPz2Lz8FnYtm41Aj/Ao8dOAH4mofoubNz04D0YPT6OPQdO4vO33i7NzN9+6DGs692A551zMfKJBCfHx1CtVPCNR4/jkbFxhGwspoKO/1FtR4EMVXBc5GRiRA6aDofVEbSgUg3FQH8CCj7DM4+M8I+ghY+8AggJs1SpgdjrpByCHJEKVX6dahYDBtV8bI/kkzShoTQcMDNL2RzFsEulW2Ygpk23nT1nSDkIYNuOUqqJspAggWDAhEXIZrF5M0MYJVLOwowugWx8wCZIb9uKaVNkYhy5pZA7KpwkA445eowtM2DYDN/XYbPkQxRksZR/hLSIZgSCiWSP8TgFgDF/jTSQNlD2chBSSEEIVZCQEpQ0i1XjLEGhqAWLlDp5tWrDzVLELPygFY9KNOa7Sb8FYaPKCCS8EijIa0OFmWi6MjVHzPe0THX8bBJmbh0Bk5SWsIhH6imkQIIqLx4f10EQp6JSlJG3LawsmiBkYctwrjLgpCGYvzdJVVJRYBLc0JbJUghCTF7H2A9hu4QksVxbAk5+gOEyH45lC1QgCVCNYNpUbxLuRQJHGUEgcystu8zDU2rOSpU5hkplyFxFrkHOveZYAoOlNZlWcBYQCAxWRRoCibNYVIu0pIcJ2RFtpczTc6DrzLQjJAthum1457DggQUiVPRW4OYssuA1p2WbV43H5CENDYE3oenBj9m4QMUZmRjnRkOS8TxYMOMptZ6tsgQJsGi1lzIQgm2TjdKurHe36sKuKAVmGkVyb8WyvpRn2uEapyWanJ7NvVRn8s6h2o3QlbjSNqSxNwjZrGyIzZ1zKfcn50Gs2mw35sup8GMmXqBanVlkYdNOHEiNtTQ421VZx1TT6cytE0UlSyJMZKaBimeIdRmeC8tz4YfkUBliowLdrohS0qcNnQrgJIJZ7wVD/GiEltodAdIEeDnMmMVTOSICbSmI4bHosAmWHVfNC4GjTaVjLOUVfA2HXXFg0JbPv2TiADpzWZu0/ybQXU/+PuDViyPmL8YwUmZ6WpKxaDCTEUWeJbMpI+gWm6ddmd+YanEplHFghyEyo4Y4TsAeZ348wLejxDTg2B5MgbNqLeiWg1YjhO5oAh/5HusZgQgEWy02LxPwRchsQ5SwhmPCdjRYPJ60BddMEflU/mpig1ZKxhx+kIsqmG9oRk3lLVJpnbQIZDWEPrNUGcvA9yB5Y18aS+MZHWXwxlEAvTIAKl5TgLFys20Z7JRVe2XrJjP/FivAWGwQ9HVCJsI9bpNFDacr1uAo7LgF7Cvvh7+W223L2y9srQWI7MwKLFpky/CqDD0JCQtwV3yd8K8ok+DPMzuPo9yGWxRqFHNaAMnObMPyr+VzK6yw3H9RJlJcp8JWXTTudpZgFPspwCWVdfx9sf1yW3F5FD9TvKY8yqCx3LZbqDaL8+DP83r8pKlKlsbSWBo/ePy4wP0SmPvxzPtTeY/mNTnT7+lnLJPvxjfdgMhP4NUc1BnAXzcx9vgsuns9nN3diwOhj9e/+MV48O57ccv+/VjfvRxdK5bDcVJMzk3gQ7/0Wrz3o59Fl9srNlTPqqIZhTg2ehxdVRunZqaB2MK21YM4eKoBxwzheXX09/WhGWjYtnU7zj9nCzZs2oqTJ0+gVu9BGjXwjVu+i1vu+RZ6KhW8cMcyfPre/di8ah3u2bsH/klfLMRXXXs+tm69BMsG+nH3/Q9jZv4odh3YBTuvolr3sGb5WnzxOzdjbU8fMsl90zCf+VjRNYh986MwIj5GGRgY6cPC/DxmGwvSkMlHkHXDZ+GkfwJeZmHz2pXYP30CY+Nz6OmvYaW3HJs29WLXnlPYe+Iwql5V8syGe/twYmYCv/2ml+G3PvRpgVeOzaffHDu3bEDgtzA634AWJTBSA6vX9OPIxDQiP8CWgWGcs30YDx4L8PChXbhk80ZkeoZ7dx/EyjVDGD00Dq/Lw+tf+CJ85867MTXn411vehne92cfQWMiQbenw+13MDsbiNqpu6+KhWaA81Zvx9GTB9Cop3jZjovwldsewDyayGntQ4qV69ZidmYMm1auwJEjk3jh5ZdhdmoGjxzdh+aEj6YV49rzLsTQ0AocO3oII0M9uO2uAzg6fxJnr1mDVitExa5ioKcPZj3DcF8fwizAV75zDyrdLmqGg5P+tBQOrKkNw6vZuH/PXji9q6TsgbY72vxyPgBGYmQUCyEtdsyMFwhH/SiBCa2IfDAn1COgawMyQmObeWls4hTAQPjHB2ZVPCGKsziDSZVLM1QNvgKx+ODLjaiH90JZJ42dsg8qZZSFVCyFfLA12oUgYnfl6qF+hflnCXJR8lABSximI2RZBVmkbYql0KajkVCSkIdeS8tC3lZAZaLAU7lbCdty2crK86KwJ2u33YpFWaX8ES4yA8tgoD5/hqo2aQSmLVaHbVBtxZw01RprMeeL+X7y7kHLsK4ApJRTEBRymRIvJhKczwIOwjSbQFGcmLRsEjYQuhF65u18QGYiUi2YwzIJzwgAaMlTYJVNswqaEDKaCJoRTJfHRaVW+82MkMjkNtmErCzYzPCikkwKVngtCF8JIqXYhMCVCk5CKWbhUXnGjeVihxRFJA2azJVjY7Io8mitpjougkN1lkBQhTRpYXXFwqgAlTSoMp/QdZCEIXLdlHMlEKNKU+zNGeFLoqAyAa60S/NK5LCZ0We4yGnLDlpid5V5FkkqFan0QaeiWktDziehENeRiSzk+XCN8FcWUqjyhKrnodVqwqKaOndUlqRrIW/F0igtBR68XrolIFHKGMR6zrgFC7GuwxaIrBp4xQWa8cObTGCpZPYRK3kGokYs2Z+8kUzHQh4tQDPriONQrr1JuzvBtm0iilhuw+vOehJaqAnPCtszgVSAlPdzxtegvQaVkotQTuSNoptkA6uOLAoEzFFRCSOU90kqW0VZS8sqQTrVlwYtuxnvFJhsciCIzkxoSVMy7RwytEYoNlEpzeGc8B5xRWqLBK6cc85mWlpYBcqyoIOAndlymiofoT64EYqdm/NKtSPvba5JIuqUttVWAw4bign5rAqMtCUA0MojZDoVpTnSli+wM3V6YUSziLUa9KgFUzNERMgMTbLqhNeTkReGhaQVKBUzswIJ/qggdmqiemYGpOm60MI5BLEBr8L3QRN+EMoca1oEw/JE1cf7jpDVNE2E7TVuWVVpKubf/dIc7RJS58ho92XWIz8QkGIhXebbZsNvZiKicpkt1jbL1LmedITMB2RREI+HFmquLT+X4hAqVwkpCUnpIIanI4pz/MPf/NWZ+OfL0lga/+ZMvgIKcZwud66cLVcAtcWy6TjKCj6O0+Xmnc6qWxwbR2deXaG8W+zBptgvYVVRetFpmy2Uh8WxlTP4ilG8pgwuy3CvPCedKkcCvc68ufKxdpZ7lOenfIzl7ZevSef5cj6YcVRcS47iZ4p98PoSQnZCO547gWw5Q7B8vp3HttgxLjY656Wc11iAv6WxNJbGv/+xlNf3g0fxd8OZAmTvfxbk7v2wY/ixZ/KZsYY3XL9dHl6iLMfPXnEDKlVH/iH+8Mwsdvb04pt778CBPaPYvGwEk9Y8fH8WlVpV8qXe+qG/wezsPB5/5AD6672CKCJm/Lh1ycurmRX0iVqmgkpPF87bvBGveO5FmGuFonyYnR6TMPF6vQ9DQyNYvXwV1q3dire96S24+uydODk2g3sPzmPBD7Hn1GHYmoOVK4bRMzQE3ezD/r17sefwURweO4p+t4IXXX0Dzlm1Fuu7V+Dxw4ewoW8jXLeG48k8mmELA7092HXgMEbqvVIeUHM01KjOaITocl389I2vg1GzsKCPY6HZhGV0YWhgENtWbYGe6AhnIiy0puGHOXafPCy2qDQN5aH2xNgYuuoekqAp2/aoFDJtecAam5tGL5uJ4xhbNu3E6PQM4modvV0eNp19Fh6YPIZv3HMA9z3+qICS3qqNA/NTcOHAnNHRu6oOM7DxhZu+g5lGEyPLRnDPQw/Ls+vgpjryNSbmGyF++vqXwuq2YOkadq5eD6/HpVMTwWyExx8/hudcsB1pK0N3pSbXeWF2Ai/aeSU2jWzAu9/+s5hpjmN24SQG+7owlfv48se/gTsf34PY1/GffuqncNWFlyHvj7Fl7TAeOPQ4xuYnJRR+xUgXeqt96Kr0YN32a8U6O9NawMGpU/jiR76CmqVhYb6FBx/bJ9ZUg4oPKT1Q7luqzqRog5iPIIeQgYoiQg4qxfjQSesyg91ZkkELpUZ1HEP7qRRSgI9KH7pAVUlGKjY/sf0xF22eIMgA/ZEEiVTcyROu+HrJ95gHlonKj8UblqlywKS8gISCD7wxj9GAbtOO6AtokutPaJfkiGmpZeMriwmY/2dQSsdsOjEiq5IGW0PC8yCw4PHGChpYWoxIo+WS8E86NgV/yLwws41HTykdwyVpbWRpBi2TzBqURlPmYnF3fPjm/FFdIzopUeXRxkpQmWWJKMEIm3luGZVADO6PqboxRPlDIR3bNNVeaQpMxGbMfUgrLrPhEqmDkCINvp7uPSqXBMZx3jlnGS3SBG6EUFTGqUsrJRycK6qjTKqXCI40UTOBEJzzIG9QtAa2SxNElMnrwfIS/jy3SWWkJmorqglpi2S8mhQyULHHzYnySMEKXmuWidBezGtHFaORtBBxzYkVmao0BXDjIIZBwJcTdKpSEYJkQizWSwsMlLKOXLIlHYfHypQ+QhXmuTGnUekjCVvZ8sqMvDT2kcRUN/HrtGlrCCIbIVu/mfXIn2HbchpKVlwBZwiso4h2c00+sDAJkTjxtLEaLEjiHNC5TSuoLTDRclgsoUuWG38l2FY2XNU4y3nkPaVUlcxn45pv24qp+ktIbBRIFjVqliPgPWA5ou4kJKeyU45Vsuo8WITacQrbZvpdW/HJXDyLas9EICHt5Mx15LFkbM8lIOSxUJ0YUZWXQPNVg2+SUFUdIG6G0JhtxxZiKucSG6YAZULTBJnfgmV7sPUcUYvnwLXKXEyq7diMSwUcoVtVrLO8zFTcUt0ZUUlKcSLBIuEyjfphJOUkGqEjm3YDqln53hEhd1xpuTXTALrTJfccrzFVegKbqbaMCItTAV+VakWUnwiaomrL/Vn50CKxc3gV5nBGSJosDKFqlzbfEE63LfcR3/dMPZJt6JGvCnlSKjBZQmKgViPgcxGnTZgsATIloVJgv2EbWJD3Gf69HApwp9oviHgckbI1uyYi35d1btdNpHyzypm5aEDnh0G8NIaJkJBZ4/lSvRyL+lHaz1NfPvOIG77K8Qv4vRyWZwMOizg0eLRca7Fci0LFvDSWxjM5ChBUFGGUrbkF5CLU4z/YO0sviteU1WWd6raynbZs5Xwyo6wALH7+dFatcgtv0cTL0Wmv5Z8Ly2zx5+K1haqtyK4r24YXO+7O5t3i9T8ob66AY4RcRStuGfZ9T8Zf6Zw68w3L+6USsQB8ZaVdGcKdruikAHyd3yt/TebrPb/2xH/lrL2y3bc8OotCCoDcCRmXxtJYGv++xw9S3f1HysM73fhRVM3vP41yj/N5JgDfv+W6nEnIeMaUfG/44M/j7NzAw4+fRGbpuHBgGEmc4dbDR9Hd36Pyp/QQrekIrz3vAnz8wXuxds1abN+8DYeO7caxEydF9aDPJPjjd70JH/zsrTiy93EMrBqExZZGpBjo6xVbK21La9etxm133QYjdbFizQoM9fVj+cgIXnjdSxc9vl/9zbdjbHYKXZVutMwWNNrTTA+eluPcDRtw1559SM0EWlPHr/zqO/H3f/FRzIZT+Pmffi3+4eOfw+r1Q7j17r3YtnINfATw/RhVsypAgdlRR6fHBGgSyl2wbTPuufsguvotjDVm8d9eeRluemgWy1YO4N5HD4mCYt3aETy65wCamY/Bri7MzAaYT5pImylcVwXEMzB/xdA67D60B9E0lVpUoiTwHB3rzzoLI/UqDsyOiZ1pfmFaCh2qbh2J5qNb78FxfwJdcDCRtLB5ZCXm5xqYN1pYYQ/gxNgsQs3HgNODy3esxOfu3wVtPgEGLIR+DLfbRKsR43lnb8TcnI/HRydQqZhozaocqN6eQZhmE49PTWHjyEoEsyHOu+Bs7Nq3F2etW4Hh2kp89ltfFKClVW3ccP5FsJ0Kvnv3Q3AcB5gP8ODCMSRBig2rVuFN114lArNv3HcAlZ4QV+28An/6+X9Cn+7i4PFTuPScK7Fr4kFcsn0HLty8HXfe/h18/fEDqNRXi6JMhB5ia2znqontVSm/WCAgEEgstzoyn22X/DFVxiEFGsyWaxc0sCxBrLBS+JCL2oXAzNJjJGyKlBw4WlEpjhIiJbl2Sq3nIE5YIKFTMKQUbxwEKDltfCxsINIyBeRJ9hehI2EXM+Uy1SRLeKPbqr03CagS4vkJqxIISSImuX96KhlrFDMR5mU6t0GLIBV03KcSHxEMmCbLFVRgP0EOz4HojtvVLYKLSMAXW3HZjMqDY7Ja3O72ZS4ar6eASGYY0rpJtRxVN1ToEZARtEjBBVVyqslY2k/5MM9UM4GtDFVTijpSRdFdMgpQ8g8luFA+fmBumtik25mJnCP1e03yFqmSVK5iXlsFNVIqkAT68hxoJbXkV6r0WGhBGEEQWEBYqiEzKsVY8MHiEdpPad/MqEWU5g/Zh85Wac1Q4ClsN8LyhqM9XFSDzFZUYFljhiHPhcdP5SULH2htDqgcU2CS1mW1zvR2LiCLOwp7oiRBihKRsjWWVVDpSAIq11LyGEPobg1J4MPIdMk3I3ykzd62mY+m1JLsJgh8AzZLkFieIBmHhIipqDjjIBIrN7cpzbwmYFMxSFBoErbpyCNavU3kSQCDzcqSeafssQJreS+kETKNMI9gPWmrCi3JqZRSGFExsmDBRBblMB1ajx2YZoKU65fXRtckF49ZgqqlmurMTK4hrxctrVTsMqdNFH/M0DPbgI9NugRlFgs+gIQ5B8wVdBXgygiLmHfIohnh7Cp7UqI5uaj4dw8SBJGY3FX7b0phH+3AtJHriKNYQLN07IiaUGV0ku2LMNRh6hwhPe2v8lEBzDRGzLBEwlWW7aSaAEQCfUn8pFU/pTSN5S1cUdTNJshMV+zw/LuuokcI6l0A1atagCjSkLsVeFkLqahKGVPAe5/Jkwrqm0mKhG3W/GAm54dfCeIGj5f3HGE2IwMMVOwEjZDvDQZM3gtxjIBvJiw7IQQ0+IEF30c9JKmlFNBeBj0K1T0g9nYeM0Ev8xHZ9muhFSVweU8QjhLy8f2NMx3Gan26HqywhThm6zPkwwqd68cncOaHAlVRqBLKspbEkIxfpbLW7Qx2Tw3RdBP/72MfORP/fFkaS+NHHs/7yGH5R3kZKJ1OoVYo6QqVHCFVYcslkLt960r5Gh/q+JBQtrwuNn6Qim8xRV/n6MzbW6zkoziXMqAsf69TsdbZCHy6sVjzcDHK7bplxRqz7MpKufLPlpWDZats8Xrm61EJx4enzu1w7k/82cXf08a7mBKwOMfinE+nxCtA3GLKwfL3n7AVE/yVwGZnm2/n9ehsOF4aS2Np/GSMJVXev//x/icJ6f4tMO/HruRLwwQPHjkFy2Q5Ro5vHDyMmw8fgdPnwc511PgwlqQY6KrhH+65HRu6+zF//BTuvO9upHzC5wNtmGDdumX49X/8J+Sxj1Vrl4ndcGhoEGtWrkK12idqjb6RZahXe3DW2g0C/VoB2wZNbDv79J9w/a/f/zOsXLUGE8EMWnNNNKYihFMz0BIDfjNETbOxujII1wQ+8IHfQyuZxXPOuRR/+ulPITBSVFDFYHcFEwsTeMGFl6KRN+B5DCBvYT5ZgGvX8cLLdkBLNOw+cByRG0rr6S+94Q3446/eh6lTE1izfBlGVvfhOc/dijsefgDNKECvVsdss4FN6/pxTv8Qdq4dwdnLhuWh9Dfe/F8RTY/jynO2olpzMDDsgrFdq0YGcGRsDOOzE9i+dgcuWLsKC3GMSt3DAEPeIx2j/qxk8fX21UVCQTVJ0/Rhay6mjXkMLu9HHKZYMVjH1x45AK2LMAwCL/l8509F2LluJQ4cGsd9e4+hXnUwNR8h6gH0moa5eBZnrViLd7/81XjVdc/Hjh3r8c3bvotj0QS+8eC9eOi+u/GLL7oen/r7v4Zt6Jhzmrjl/vvxK+98Fx458TgeXDguEE3PNBydO4X//olPYmxiFA8d2oWx6Wk8tne3PLjOxzl27rwUB07uRl2rY3z0JP7m85/Ct3YfxpXrzhX1EC2OAkiYC8bGVnKUqN1uygdLQgMRZKmiDVryCC1Ib2jjpXVMlQcQdlCVRd6j2qLzthKPUIz2Wj6sqsyvWIFDQi6CQEIcWhzFxsZD0RARXDB3zFUyQ8MgwCO9UqojsZAKIaD1UoXOs+yDmXVyZ6a6aqZlsD5hB5kUSxl4VqK84p9Z1EG1EZECbW0EcSwiyJGzKZRKLQdweZzMYlNGZEStHDHVMMw/MyMkPG6qoiTvja2vpElU/igrLR11ki/I45aGXJY4MIuPeV+q3IRZXoRkPA42+ArMYlgXgQdBmN5u09XbxQxi3WuXgEgml9oXQSAVRkqop2y9bKGVahRNQUgCoTSL1M9Ks6qwC8n+IkzIpMXTlO2ZNpuNSUEdUbuRyBBECEuyqTRiK3G7cVetAFE2schDqBrBseVKeYFQRt2FkYWqnZcWVxaVpAYsyUkksMqgJZGUDwjH5CYIhqXRmdZyp50/yPmmUDKSAgqlKuUeWPzBBlFaN5XNW6BR3lap5VSdEhwBObMJLVUmwrmmOioMabNVLb9pxGxAVciiVG+0bOfIrVyyTaVwg8CWa1HEJGxLZSYghW4ZYmkbD2HBV2tCy+DVq6K0tAgdQ947VJvy9cz3U4pLw3Qkr1F3CSBpwabKtE7WLe2uzMDUtRBZTsUnwRkbgFWOo2mz9TyRPEbewUGzIQpdIjQq+2g/pjoQhg0/iuVrlqvDqVYUyBXFrQGr4ooV3TJTpIFqmoZuizI1kqxHbpZFKrqA7DjW4XgeNItqNmbHerJPFmMQItOGmtI6TxUjM/+4gNqtvrTKs6hEt1zoTiRqR6r6otyGxcYZ3rxsFtZN+FR0UoFMu3kYgNUWueEJnOT7DDM6mZsp9mMzRYs2VpZQ8D7UXFh2DUh9Ucsyh881YrhVA3qFGYIOqlUbie0KL45zDVX2XrRsmC4b723ELKThfNoJ/NgUUJuGTYSEbBUHMeMOCIyNQGXp2krFaSGAU1VZojnViEaKkL9moWSUyscrZl3WliufQ6jiFN2mfziExfvOdVQpTdASpWqqOYi58CSSTxXhWIkpyj2dFmEdcC0dLntpmI+qJ3K9w+l5dT8sjaXxLBidltzFAF/xvUIlV87d4yDg49f4vbLKoCjUeLJAb7FRVgqWyxw4OrMAy+rDAjYVoKnIxSufd/H98p87W2I756AzN6+sWCyDMf6ZQI5Ku+LP5ezDckZd8bXONtziuKiE46/FtsrHS1DbCfiKbMFywUihUOR+3rX6Bd93TuX5OJ1Ft1NpKD/7R/9zUYVeZ7Zg8fqnouZcGktjaTyzo6zqeipZeEvFOk/ffLwVn8XTMZ4KuPtxWILPGOT7z5deiL/7b7+Jk/OnJJenq9uTXKZgJsT49ByiLmDhRAsYNDG0rA/Ho3mMhw1RDnjNJnZkfXjlpm3YPOTi+ZtW4eDkURwfHYcZNTHf8nH5Ndfine96J9YuG4HfnMbBsTGct/MqGI6BIGCZwzzuuefu0x7f337qE6Je6atV5AHZrRN12MjjEEEaw6nbWLduLc4/dxNcy8Cx6QV86aFv46KVm3Ds2CS+dOfdyEZM9PcPwm9F+IN3/BwOLkzKQ2xfpQdRs4lvPvKoKPJGR6eRRCHe/Y534cUvfgM2dA/hQDyOsBHgzkcexKe/cBuWoRdvf+WN2L5tAzJfx4N7juFAYxq75yZxIJjCxSvW4M5HvoST0QJOjo/jORduwY51a9A9UJf8tE1Dw1i5ah2azQnsPnwAVceD5fai4QCzoS8qotG5KYxNz+HGqy9Eoxliy7IRfPzPPgnLNnDBpmFsOHsYcY+HKE0QnIoQVmmly3Humg247sKd2Njfj1decimWD3cjjFJ5gO6KgKnjTcmqq1ZX4J++/TVc86I34pff/UH8/E+9HI2xFi5duxlufw+e/4YX4M/+9KNYaAXobnRh+2VvwR//+R+LNVL3NGhhBrdios+sYJnTh596y3sQmDFOTMzi53/lvRju7sHm9UPYdfwB9Pf1wKpYsGsOJk/5WDFYxWNTUxLALoCOXk8+uNN+RnEd1WbMwBO4pNaAWDMJwgjvqLKxGNKvi1onIyCxmANGG6KyaFJ1xVZUhtNLcYaoi3IYtMayuZM+UIIp2i8JpdJMzo223yxRr031DFEgPjW6R6XshE5SA7GAq4zbpFaGD85SlJEKuOFxJxltaXyIVxZiaUslxCSUpJKNx8JCB3pXbbaRmtCZ3Sg2TyrEXIGKacicOKrqCI+UgscwVT5gzAdvzRH4QnBJRmgxp0/1kcKPI1EWmsykQ9uuyblq22jZ+sk8wJhlCrQHUmlDaM/jo8pOfNQqH48QR9SF8raTwSSko5CQqsSMtkQWAtDGqq4P21Gp3KK9NY0CtKsYVIswtynnmSAzbJXLR8UYy06E0hIccb9UNLKRk6A0lmtNUMk8N84f1W3CaqQ1lJCF14BW3ggZLdjkQrQ1sxuVEJFriMUfsERZJqCY4JEaKj2DySINHi+T1qhYJUyUmeSmaJVlSQZbZKlW4kKlwNESyzcz7gRgCt5UtlwBuzxraUfld/gaQ8ovkjiUdlSC4YQlG/ya74tVlRlqfHvX8xguESLbY03+TCZW1zAIYdPuTdijK/s058iiHTvXkPvSHgPDM+Czq4KqVIHAGVrNBaSJymyTluqY60iXBlmCTja7xj7VnRlCwjUqwKTB2BfwxHkRKzvLZuRsU7FXU0UnZQpyr2jQqWi2CKccsYUntH1Lw7QpmYpcDQ6LLjRgYS6B36ICjufDDEta4mnrduVetCsu8jCAHragGQRgtsypkbGIRBOgmjtKMcn726bEtsV2XOYM8q2FSl+v3VjN9m1VysO51mza21mEkglYN5lNl6eoiBIyQ9SG0ImWw6bKkfdxwjXErDqW60AswuIJjwkhWSKTwEiIwZhzp8n7SOq4UlSUaCkcyxEozQ+3ktxFw2fOYAwjm4cfqFzF1KlIWUqQhFLAEvGaBi04UFmbbLOl+jaXIhRH2oZ9gk7DQMym7HYuZhyqEhcWXoTMpE0y5JaDPInhWoGyPGu8JuThDeShiYw2aSoJ80haflV2KSSCg23AvC9dj63DfK9mTICGSNS4uSgincCXD3ASQkSNEJ32fUc+TOFtk4simYtpaSyNZ3bwYYHwq4A0RRMslVaF+ou/J2grIBFfyz8zZ62zGGKx4orFBl9HMMj/nsoobKLFPgsLb1GcUWyb+y9aZp9o+v2j/ynnWoZ5RdkGFXeFuqywnpahWwHBygUSxfaL75VhKZV35dcXjbSLwbMCYnYCtPK8ln/Pa9Rp1y3gYhmsFYCvfB2LwRbdYhSNt53wbbGW49OpF4tjLkbn3BWvL0o3lsbSWBo/GeNHLblYus9/9Pk4HRB8axvudWa+nqnxbLtmZwzytVIbD9x/L/hv+rG5BpqhehjZsHo5/IUI4egClu0YQjgZSo7V3Ni8SG9qto5HTo3hloOHMAX1kPGJe/aIVYn5aW7PMIZGBjE3M4Xeei9e/7o3Y7hvJVwtwaP7HsHy4SGsXrkKM3NjOHbsCO567NFFj2927Diac01MzWiIWzkq5iD6e/vQW+tBzfZQd3twcmIcB6cm5UFioKeO33zB87D/5EEMdXVL4UDjWAt33fYovnT7t/BLf/iXsGIbj4+fwiO7D2GgZxmuOu8csddFVJuEBv7Lhz6Al//sy3DP4UNIIgPjs3O47IKrscJ28Xg0ge/csRvXX3EFBhyGugPd1QEM99TQa3g41QwwcfAoPNvG6NQcfH8BD+6fwIphD8dOnUD/SA/2HN6DvbPHYNZq2FgdRGNsAv7EHK7ZeRHWru5Cd1cFM80WPvPFO/G8S8/DxOQcPvSh38aLd16D1Wedh9HZeey7ay+CKIbVY6DLq+LDv/xmJNEC5pMYn7l/F/7vF78udjbBDlqOuflAwRDdxkg3bbiX4cv/8lHsuevzGD0xjl+84eXYdfg47nnsMbzyNe/BNx64FxdeeClGjx3CwkMfx2tecQ2WDdZQNT0s7+tFV70moftWj4bXv/3nsGGghgvWrMBvv/eXESYRdj02judufQ6mmgswFgLsfvg4Gn4DJv9HiEOSxDIDKrFE96Oy+QhQCJykQZfCJmkOVcud1jTCBVFJUYHWNviS9kgTLvU79MUSHLE1Vux6CfQklYw2Wg619kYJG1imIEo8fkEnvuNDawRDFIC6UjGx01RX5QpsAOWmaaFVRkllUSWAovSLkIUKP9tsq3+YQyWBg8oWScsof9I2CLyUco4WXQJKFSTIcph2U6mUgyhrMrcTExyy7Vpy32h75ZLNkVKBZWsyNyELNgSAiqdZ1F+U1PCZmg2lApukWZfzwvINU6mZxEJriKWcx5SxpZc/IzZZkSYKJKTCR1yNxHQscpBMOoIHzhP311b/5W2w2bYm0xItruyI4IXXRbXGUrXIa0C4Jxl+PC/mt5HeUV1G667YScnv2urLdjEOz19KMghxEioaVdMtoYfYtTmvBIEsxMiZCUjUyavJ9lgWPCjlowBlwgpm1LExmdcm4tc1uJTfSjCgBs21RaUleZK8dgTBMe3jtoKNYjFX+YE8RyriqJFi4UfOPxsEdTFiP5ByDCmOkdZnWs5plyQxisVeSkjJjDw6aLOQ5EmXFmwqVo2MqlPhmaK+JGjj/AfMnDNYIkKlow0jM9DNDxBoL44aApTZZpsnLONgcUKK1CLMSmQNBokDi8pTJrbxmtEGzcob/oyvykgM8WBnyNi4nBKKJgLZCbRIo5O4iZRFOC31dwit05ZjwnQcUfcyA1DEtPq/3ne2mcJ22RIcS3kLFZVkZixaYXalSUWtw2IN2mMzUdeJxVdzVDlPkqHC9wQ21Zo6Aub48TMD3qsslHGoxE2hVXneZL6EvoT5GfQgQcTCHfGnZ4h5X/McpfCF11aDnkSwEsAXazIVxFyXCzSwwwwCmIT8OqGmWipmjbZjW5S3hPQZe8ezCDbnIOB7WyRrJtJMUZU6tprXxK4KkCZajpvMFqSV15IPQnTK1MV+HYh9nmrbmHGHPG7uO4pg81wsHZ5GcMu1ysbeChKW67BBl/Zs/v1mR0DIDyI8yfPktbccdX3zOIAGV86RVlt+KCH9Qk4OO1ZlNvJOm7XkusQSA5DCqmsICKxTXbUQOw5CrsM4RRz4okrWqaj0TOQWtxOdqX++LI2l8SMPgq/CakkIU6jz+JBRWE3LSo4C7BCiUV1Wzs0rQx6CtU71XvnPhEA/irqvDLL48wVMLPLtiteU1XY8p2Jff3r069+jSuts2uU58zUFrCzOtwBt5Qy6xYBdMQecm+Jni/2U24qLhylusyj9KG+vAIjlbRbHyfPhzxfQjLC1U83Yqazjawkav6+xtw00i+y9Yl6KVl7CSv7HUS4AKUZZKdgJCTutx+X9Lo2lsTSWxtJYfPC9+P2LgL4zAfeerKLw6VILPiOQb3z0OL5y26PyKT2tksvNIayoL8d8I0HPck/+kd88uAAnSzHV8NG7vI7aSA9SK8f8wQVsXj+Im0cP4pN3Pooh20VsZ/CDJrq7BvCS665DtasPEVR20Utf+jKEiYb9B3ej7tgImi1096/EsYlpfOKfP4H79u76vuP75Xe+By987jXosUycf/5FyCvA5rPXwnI1HD01jlpfN5b19GNZVx/sqomVqOHPbr4N5wwOY7Y3VPDOybByex9C6nh0HZPNOWz0+nH5ljVo+pO4+bv3yUO0dFymKa7ceRHOWt2D9WethV7J0YSP79z1LcznEUb6eqVw4cP/8HGMaQG6qx6szMfkVBNjzSaOzo/j0ckxuKmB5fBg5RaCfB5pqwv91T6MzfmYjSOcOjSJxw4ew3hrHr2uC8fQcf/uXXj84DT6+wZxzfmXwKna+Icv34Q9j57Cl265G3//9S9hqBbDbAJXnHeeBMfTUk3r2zv/6u/x6KFRHJs4JS2SqZlj7eAQ8jiXhuBNa9Zh/aYVGJ+cwz9+5yuINR1/+aVP4Q/+8qNY1j8oFr2P/83n0NPbhYSgY6qJQc3Et/ftx/7ZGXz39n2i6PA4f3EDC/ARGrQND8HSU5yc9fGtB/bjda97iyi6onAWDx94QADdkdYM1mwZRn2ohgalaaLBkaC9NkNR4IaWSPkfnbEq2EtUJgRnItLjQzhVPLQuRpG0c4pFlJBQleiqbDVODFVD4uujwo+qLaroCBcI0OT/BESpVtq20oxKO7aXRko5SNUOH7opNhQLIssgmNvH4xHlGmmCsuKahDQWg/6ZCEeLJYGLLo2YfIDmSw3xNbLEQTWXKtsaQ+6pTmsXSiQpYlHWsLxD5f5RwenQTkio5rO9N4fm8typO6tKDh81acx4I3iSZ39DZddRPRe0lIWXD9qiKeP+ZOMEU1TnEDRQpkibKM8zkpwtWh6zIBDrojR5splVMKeprKKcJdouCckitmrywnkCMJnRRpjGeVOFIBosx1bXPePFIqyKpMGX9khaHoX9EeAKaGEGnfivRfEmfFGC7QhfFJhJqP7LCEYtpc6kQpCtowSXLEbgHItlmAynDZaY+0dwJLZkMYUjC6jyTETFyPc7fkgh1vF28YktOYYEoBL6JtuhHVrUhoSQhKSscyWmlNIXVWLBxDPCO6pJCUAMi3mdlij9CFXps03EOk4wxdZXrl0FYdnGy7xFQtswCiVPz65aqFQtee+j+jOUghdN1HOGznmPkKeB2G75AUCixUhpO9VMBL6PnHPKRlrG72UEUVS3EbqnsDWCZM6Taq6lVEunaozXQyNYIyyNEROu8f6jxb5dNMHfWxUbmllRxROWK5Zkrt2oFYGuT7Fnc31Liy3VkDG0CtewJevcsAhFdSRRBIvyVJaxBAlawYKoFgnzxKpM+MRG7pyvM5BpGgLCP5fvG2xLZ9kJG7T5QYKOnBboLEfcTKF7tig+Bb7TXk8gG0YwWUrBTExCRo3K1AiMtuSaYHdKpOnwqNLj61MTSWiIApIfNLB8wkhCGHkgmaGE1nHCueT1DUS1xvc1LuU4b8i1Dfn+ESZI3CpyKhy5fmnx16rQK3U5l4yWcIc4PZZinFyvQRP7uoUwZj4hCzAsyQW0nBoSO5acUM63lsfwwx7orga3wvuoXWZUs1Ah2DeZyxfAND1pLOYacfmBgsU3Hpb/1OWDEVqU4VWRpSZS10UaRUjDFHGTRTga9fTwdAfhjK9ak3NLchgZJeCa/BBDWcP1ZEHe7Q2xxBN/nrF/viyNpXHGRtmq+nfxT8nXCKEK+EeYQxBWZMExL68MlQp13wd/89LT7qNQ3xUqvvf+/h0/8Ji4LarduL/iZ8s/z1HAvs4m3mLwOItjLCytZZtuobTjKL7Oc2UrbfGaonDiCTja/vNijbdlGFkuwiiOn/tbrFmXx8ZzLay/fA0VeIVisIBy5Qe1wsrbCfbKx1WcLx8ei3kRteEf/c/v2WZxrAV4pA24KM0onwvnpfPcyyCvON5iPgqF6GIW6KWxNJbGv8+xZNn90efgfU+Tqu7JbvfpUgs+lXHG/pX8kTvvwh0HDyoZggSdN3H81AkMmoa0UC6EPgIrx/i8j75qFSM9IwibTVGR/PT15+BP/s8/4qplWxHNhpiYaCGdS6WdcN/D90hm2nVXPBe2tA/kqLpdeMlVl+OCTRvxwJ7H0FtzYMQB6jUXwzUbt99+Cx7af+D7jvHGF78W51x0Od70ihfj9a/8WbEbrd98ETZt2QJHA07MzSL1c3RXPDxw+ITYQr+0ey+0cVWuYE1SoWLg0i2XI6V9UQeOGPP4zt7D6B7yJMMr1jLUh1x4NQMve9nPYvzoAmYn5mW7VQb8VzVcet4aDOp1PHrqKPq8Htxw9aV451vfiLe96Q14xbXX4p2v+ynccOlFuPLsC/DK656H45mPPYePo6vLwbgxjqYb4dj4IaaVI55OoCU6LtuyFisGu7Fy0xDe/6brBTAcHxvD/j27oUc6lq3pRd/IIFARjRU++Df/gOvPe75AET40E8xWDQtr63VsW7dKVGg1zxa7164jx/GzL385WgZVHRlWL1sugOes+gA+edO3sKlvBX7n3b+AZSuH8f9uUZ/yfvyvP4Nuz0Tksf1zVjKwprCAe0f3YnK6BZ8wJgT6+gawergHDx8+jMCitTXBps2rUZsZl6B6t9eD6/Shy6tg2FuG89dvRHOyhROjU9BjNlHqUp5BqiJtjMyBErDHp03RQ6kWVlo2LSq2GPjPI+QDflv91s7mU7iQyrFcHr5FEkjbGRU/BGm8WzQLmWTMqQw3kapxa2yipGqJyjfCp0jIxROZcylFPpraDuEHVUkCHWid9QhuCDAIDWJRl1E1RstdFPIYaRUkfCPF0OE3I+gW7wUFGduhb0j4uExlGXPOaCGUCDdq46RdQHKz4oSqI+5LBfQTLqURN+HD0Eyx7/K4qYCUbD7DRMLta6oIhufMh38aUqm9IhglSLIszgPnnKKcjE5haQTOolDm0LQdmAhV6QgVUZTViZqHajaRV8r7hs195Mxso3KNsMyWY2e7NMEd90VbaywZc7RjE8qqa0X2qeR6CoQyL4/fCoMIBksRWJpAJRAvWKF4oyZSyhQ8AX+0PUv7r0FFmVRvCIzjOmJOoMp2BJKIWXWEwkqFyGIFyZ+j3FEv1pl4pKX9mFbpsCgQ4T5FZRhLYQOvs+KGhqgP5XLSAqkuG/JWS603LZGfFc2bxvKURBU6a4kovKjOYp5bZjpidWRmGrP5BIghhcdcVMuRKIEo1qQQmlmdjpHLGnGdHJZLaGXDNJlVF8Lir0S/WYTEcOE6qmSEMNqgbdvkuwkPlGud5RQNub65RlBjyDXIY2WdZkYi21kJ2QXqsuiF7cG8hqx4yVMEYUPOT1S6eirg33Qz2FaGMFZqW2WRpk3WkXnMpWxFlWVIliNhMJtyDR1JwPw7As2K7IPvdanY4XlfU8GnIWIZhmVJhmLsZwLnzHqXNGAz+i+hetNWTcxUTSdUCya0/YewXAeJaYtKLjMcUeQlshBFIgeH5+zWRHlmsxHYceBQoZoTpDOzkrNN8zh5Na9ZRZR1aRCI8s1wmc2oSymO6RAWUqXpimpTWpcJ/jiXAf8+Ui3LthGochiHH/rw/q1RXyNwXct9UTem8kEA366o7Muh16oCthPKmlvclyrtsM0F6BHbkmOxRgfM0WuxoEVDRfdkbRCZsqKHDcGcW1UMBGhRyM/GBGSbUUuV9wj8dpCz6EdemSKza9BqNhy5CagUDkW5ypKj1HQERPL9M44JVmPkUraiIeL7/dJYGs/wIOhZLGet3IhaLm7g1wv4R8hWtpLyNUWL6+lGob4rw7oC0P0g624BDYtfyyrAMjgqFG7lQo1y6USRTVecd/lnaXstYF9xXuXz6czq67TRlv/rzLArMgIJSwnxyoUc5cFje0f3rzxx3Pwzj6mAa7TZnk4N15mjWFzHxQpU+D0WeXTO4WKvL75fns9ibRTwswCnBTAsqyqLHMeigfjJhq4vjaWxNH6yx7PN/vlsn4Mno557/xnM9nu2jzPWrnvjW26Qf/zzAWl4WT92bNiGmfFJTMws4LnnbMQnvnM7TI+QgfBOwxVbz8Fj+w4Ja7nuksvxhXu/jWxax9j0BAb6a7BdFzNzLVxw3jnYsuVsvOm1b0IzTjFxfBeWjwzDdrvwoY/9HYzmGI6dmEXmaPAcG/20M5kWrnvBNehbsQXD9Z7vOc7J1gIGKnX5/Tt+610IAw0f+N0PII19/MmH/qdkFzWmWxju93DbI/vQ21VB3fMwrjXgjgLWsIf5xBfLVXOM+U6aQL1WK8aQ5cHRa6i7DkInxeMnRvGa512JT978HckWe/GlV+Kr996MV158HcIwwLFTU7j1tgfxkldfiOW93fj0F+7Cr7/+F/H3D3wGBx46RjGTWDrXuN0Y9UNcetYy7JmbxImTC+hfXsOpR6alVIAFDmaXA62eIx1PUBl2Rb2zaeVy7D5yAkO1qmQfBU0+HDVgW91oTs2i1RVBnwH0ERv+kaYK7qelS9NQyw2sX9uL/ePTWOZVMT7XhFbL8Fuv/0/46Cc/g0OTk9jUNYw9U6O4fNsOKW6oV7qY2IV1w2fh4OgJTLamcc9D+1Dp9dCcD7C+pxdxj4bGXIRET3DByy/Ctz96K7oGPMleiuIE24ZWoxHN49pLb8Q37/0ioshCK/OxInMwp4e44NxN2PPYMexbOIXB4U1otQiMlD2XVlCqn6hiks5WAiGqu5QIR+X1WUrpJtZJscXy8ZqQhXDPlQZRaYNlEUHOUHraOAW1iPpP8vr4gG9aSANaIA0BfFGUqIw9qk50ZlklooihcY6FBPIZfrsRllAqFxipWn1VDh3hlSpAkIIKU9kUU9ZsUEVIRKHxcZoWWzEXC2S2pVyByi1TlEX8umURFFHLSHuxJddG5/ZU/y9MKusSQjSeP4EY96saiQkZmVdGbSSz8rhPKsk4P8yCI2ijmsw0lFpNCA1fHQXQPU+sgAQ+hGkioKMaz6YKLRErM4+V+6O4J80ICVPJsFNOasIh5hTqMPN2Qy+BEO2AGhAlBhxPQxJSoWWo7EJCCmGfXAHtdmFpP1XWa2rpmJPI8gRmMNJuTZBGdRYtgtLIy1eyhESgrmA/saZLk7Gch9oW1W4sn8hZ0EKbNhttCZWYQ9hWgFLpRyjk0KIr1a3EodxGipi2dCq2dKU0MwmdpQwjBjJLlJfi7KXqLafNO5G5Jmy1RXFIizjXrY08DwWkSMmH6wosigl/K44ANC4Ofk+1EXN90g6ulHSEY1SrUYnHshcqWbn9kPMkfCpAbjFPjdfahusQNGdi/RUjM9ehrBtbrLM5owmFN2cwmJFnhIgiE65twg+oHqNiMYdTMeWe4XXlfKssQtozlWmdmk+qCE2TADwQSzAtqwRXOUk0IRVhG6dLQGzGPgcwkjLJCE+5LHgNCZ4jdYNIZl9CdovmPG2tVCBasEwWYAC2bcOMfVG8UX0qKkquX0ZaEjiRtFKRp9MybKscRLJbZlrCgsE1xZIK2q5NWn/5TqGsvoRYJm3ZeoaEauLUBHitWNDBjE1Nh4NU5ki6KRK2Adfk3o8aAer1HM3YgUX7O689VYhch7rDKl5RThLc5xnzQWNoXg2WFsu9yKxPrk8piBZVYQLTcwQI8s9y3xm8zzUYFv9ymIPPFls/gmlXJHIg5TVisbcHhGxqTjIELCLSeOyGKFODPIRLkBjG0G0dSZyjwg93WJ6RB3DyXOB2ErHJnAUpFvuE1IeBXDP8IKfeB39qFkYewvEqaDWasqapSuV6SvxQmHys1yTHM9OpdOW9qOFjH/vomfjny9JYGj/yKFpZORZTpZUB4OlUa1SalZVwHGVL7WJjMaD3ZO27hfKvAH7cVtE+Wz7mooCCx0eAV6gMy+fLsdg5l5t2+f3y9otjLc6heD1BXqGAKzfslhttqWgrMq4Iuy77nRfLawtVJI+R+zmd4q0Af+Vfi9FZvFF+fSecLDf3LjbKrbzl7XEQUvI8O1t7i1G8lq8j1Fxq1l0aS2NpPJtGAcqeaQj5b2moPRP7fKr7P93rn+p2nuwHPWcM8r3g+uvwG+/8KfztZ29Cb7Ubh6ZPIqBKRLewavkwTk2PY+e69bj90D5ctGaL/ON+z57jolK44YoLMTM2gTuOHkXdqeMv//yvZZvv/++/jZVrVyCLLOw4eysuuuA83HTz13Hd816OyRj4xje+hIqV4fiBA2gECdavW4dbb7sNbs8G/PJ/egGm5n2sHFmJ3p7+7zvevfvvwuS8hptu+xJuuOp63Hf3d7Bv72GEWQwHGUYbC5ienMOmNcvkYeTU/LzY0qh8iOcjrBroxmgyD9e2UNENHDk+D7dqYvuKQcxOhnh8YQZ9VYa7W7jsgsvw5du/iXwuwpt/6iX4yDe+jIoUIijAEVp8gKPSyAQFRXwuZ/Ml86eowguTHBdvWI7EB+47eUxAU1XzMHB2Hw7eeQLnnL8GR6bG0dVw0AojZOs1OGxT9GzMj88JTFixfBCTx+fQW3dxtDUHLcihTacIaxmWdXWjlcUI+TBKwAAd3ZmOs/rWY+/0fji5jom5Js5bvwrVShUnJhqYi6Yx3WjgA297K5rNAM9/+Vvwwuufi82b1mJ8fhIf/5sv4t2//hbsHT2GFV3dotIabTaQdmWiHLFCE10rbKz3RuBYg+hxYnzp0bthk2w2I/h5gqG+GpzUQV93v1zDMPYxbJvY25jGsWPHYPSvQ9iIREWl8WGXhCSS7llYnidQRTKxqN5iIQApCgGgRhWb+HUR+4QBfBCnOkjZfPlgL7ltaSINkLSQZbR3EjpRxUYljkQBqodoKrFMFnFI/hZ/XllYST6YX0ZOQFVqyu0SRIkdVeV1CWDUTMmxk4B/UgLJAyRholcxkjUkpRdSRmFAT9lKyodlgjelvBIQRgkgH54tPlWL9qxd+tC2rQrIZGlFDD1nMQj3rdGRzMd7aVZOTQOOTgWbygmURlH+LOFVloi9k/MVE/rwPGhXNAqASNjFbD4a2qlPUqCSuWycP8JFWnJZzCEKNCr2pAiEP8njo9OUMJVKOLZ4tgtRBLpybiW1TQGNNsKjypGqRSn+IBwU6MJ8PGV1Zd6bYVnK5tzOapRSFf6sXCOqONtqUEYgMmeP2YV+IDDYdDw5D5sAr61uJPCS/D1mzvF8qFzWFMAjRGP5AxWHJsEPrbZJqK6eYbOuA4zqo6qKEI+qtThhIQeRLF3YieQikoJSacZuBrGfp/xwJEFMwMPlw+w+Zi/yyhFkZYnYZOlZZZkC1au57iCOQ1i6TYYoMMqkCorA09ERRfkTuWZU/hGOxdLWayGPmf9GYMrrYMkciMGa2XECeQifUgHIBgEZpzsMAMsTmzft/4TEvMdMLUKSMrKB9lCVa0kKphPaqXpkBU6pfaNa06B6jcBRldtQeSatzmyFJUzXeSwOtDiTcxUZHK3KJnMQlRWaUQNUEYpd2aQtn3McIbUq0BM2+AI+yy0I8uScTThU3FJ5qRF6UoGZIeN8pbHMCY89imhpTqVUgkXklSqBbSwN07xPCTG9iiVKP86hQRu2XWk30FBtZ8idwmtFO3jAZmA2yfK6V2tSeEKHbp5HyALC7ximXUXMDwH4vsb7VdZzAotKV4r5TL7dUPHI9mxd4C2LP+S+IOzl+1WrKQUhhPuSOcmWa1rQue9GA7nThShuKQu9FPxoMHhNaNuuehJzQNWnaTLH0JD4iFbUQqViSxxBrjlw7AhRQnu5BpOWdapqUxO2qyNOIjbsIHE9aPxAgOUxSFBxLbQCfoDBVUiVIdWPORZiG26N7zsmwlYk55M5FuqZj7m0Cq9Ci3+Cv/non52Jf74sjaXxIw82s5aVAWXFVgG6CshTwJryAwIH4dYPsuc+HYOArQzaOo+/bMUtIF8ZWBUAqgzBOMqNtAUYWwx0dWbTcRDQFQq3TvhVgEcq+JhxSNDHX4tj4OD2iuMqj859EQgWcLBzv53HXT6G8nF0fq18rYt5K2+rcz+d4I7f+0GwuHxtTqdiXBpLY2ksjX8vMO1HHVTznc4q+/4ncR5P9Vx/0P6ervFkId8Zs+uu3jaAj977daTdGuaXRXjVVVdLwLbl6Dg5PyN2u7sfP4h+vYJmMIk0MeXT+XWbNuDYXBNHoiZ0G7jhJTc+sc33/dYH8HOveztOjB3H3sPHcPAYP6W08LGP/xX23nMrbnzhizDkuRjs78bZWzZjbvIErnv+1di5bTmS2T1Ys2nLooCPI43mcfjgvbh823Z88dtfwh0HHsOJYBItfQG7J0cRpRn6emuYWgiwf2wCjShGtYsPJrSNpdh7bBwzUz5GTy1g/8lZLO+r48qdO3DEb6FSrcLydGxftRmjU1OYGD8omXuDI0P42y9/GRcvW4nVbh8sw4FbqaDLcvDCC7ZhuKcPBnPRTBMVz0LdqaDqeRjsr+CRY+N4YPSEWJLNuoVWHGD8xCxqq6s4ePgkqnlNlA1prwFjVsN8s4W6bqJeq6BLczE6MS0NxBft3IJXX3iZtLDSHptFbJnlA3mGQccVuxRhy0SjiXuPP4r1lSH4aYKRvjpmowZ6+gdxeOwYJqfm4AzaAiqfd8UFaI7eg7e/6WU45Y9JjtcHfue9mE/mBLTR2hvVMji079EaZ7KxM8TCOK2iBm685mJ85u674EQW+lINq1cPYcemtTA1CyODvRge7MW+fbvwqqt24h2/8jYEwTyymk2BjbKH0ldmqVZW5k3ptgrtZxGEEu0xiJ9gRTRbqpBBFDfKtmfotoAmkhHCKKrtJGON+XNZKuCTPyB5+7nKkaMtVIorlKFTFHDS6CvRgIQInoKGtBUKlVFQhseiU3rWVtLxYZvlHbTFqow6xoQx6455a8pAzN1JuYSARaWoosLQEeZlqtIRshIBl3IaSk1kK8uqzh8kjyOZZIMrVTxU1lk6GEtGhVQUh2LdpuIqoX2PgC2jnk8peqiwYz4ewZsk92lsx1XyNarmqHIU2yUt0DoxOQEfZ4fAMBdARwUPYZbATH5Nb+cP6srGiSKDMFbKPcJHPvRLy3Fui2pOqE9GqEaFFy2gVA+1m04JyqhUowozZT4hlYGEqpkAF9lr2w4rijiLEFaVcLCohGosOecUcGjflBw8fp0W53aBiwqFkwxHZhPKz+aRHCc/1GDBBJW1YsclIMpCWFTOuZ60Q7OMhHo42pF5PQiDDMMR+yYtqgSSKmdStdsSngrItQxRT1FlRhWT5C9aNaUCZZ5gnMAmiBIARODNZmK23XIeWVTBvECyQ64flVfIJm1axvnGyzmMI55zu1RGymP4OqoEmYGo+hmyzIJmsLyC5+fCcgkZdYGOLInhnHCdsEmWcjjaw8OQuZYENVShtQtwUkPuK1FgUsFm8vx5RxIqEmjSTM4sAZWfKBbfkMid82sLDCRwkvujQmtxjihluptqY5Z1KeAoQk4FZcVFxvniMfD4Mg02AaHhQhMIxQxBA5llC6AnHEwdZcWnQjENMmUhFkc6QVoEj455FmkQ9iY5eDh06oZsFmbpiaj7aEMOJduSN5hB+zM3IvmQMSqeC5O28FxDHPO9Zl5iJBhj6NQs5NWarLes5YsiVqziLIfJc8RhBs3jTaKjWuW6kRBSgWxsMGYjL631tOGy0INWXFqKHWZaeo7A3tTnjhyBrgTstGhTXaqyItmQa0Br0aTbRO4SrVaQhgaiNILL+QklsRRpFmAhyBA0pUZYPlRI2Wzs5KLys+RDGAUfZW3RppwB/nwGR2IO2gphnX+/2rAd5nhG0jrMPFPbg9jK+SfLoUqbBV7NM/XPl6WxNH7kQfhVFEGUQV5haS1y1AoLLAdVe2Uw2AmlitEJ4E7356fSsFs08hLwFXmA5f+KUdhji3MsRlGmQSXaExbTF7z2e+zD5aZeDqrvirkpw6tyIy3hXBm0cRSZegU4LKy3tOPS8lxYdwsb8Q+ay2LfhGkEfOVR3m9R2FHYbstwsgB8T0DM9/zaEwUinXNXnH8xL4UKkl8vfl+eT6oPyzmH5e8XFl6OIuNwaSyNpbE0flzjJwXwcfwg4Pa+J3EeT/Vci/2VC7Z+0ODf/U/GMnwmbMVnTMn3jt/4Bcz4k5g+vCAPKxu2johVd/XIELLZAC5toIaGhchXD8mRh/0Hj2B4pB+v/5mfQdicxz9/6Qs4f8tOvOq1r0VjYQ733ncXtu28AJ/7l49jpjGDN166A7Pow9zkGE4FEd7zzt/CF7/2WUweexw7tl2OhWwBX/zyl3HZc56LNes34vzt2+TYDux7DBs2bVI5bO2RJE3sP7wbX7nlFizv7UK/XcGpk8dw3wO7saA7uPHiLfjI129GGLIgAXC6bGTNDHpNQ0/iIHBoWYtguSYu6l6F20YPwM0dbF82hAdPncS2Natx8OQxPmKKvdBNHcwYPqw0w3NWb8T9U8dR9yw0mJ2U5Gg2YnlCHOivwI9ypK1I2cBMC+trfTiVNzE73UKf6UmrpZEbqLoOZrsCCfVXRQfUQ+mYHW/KQ66V0SLnoGt1Dzxfx7GpSYxUuzB5YgZNPYc75GGgq4p0zsfozAIc20a128TM4QZQM1DrdRFMR+jt9+DPp2jGPm64/CpMz03g7r27RWnyl//lN/D7H/9HeL4jaKK3Gzg+20TdcvGSq67E/7rpn2ExW4kPgxqwujKEDStW4bYjD2J+solff/1rYHs2vnrHPYjmY5xamEAYpXLs52w6CwdnJpEhwpuvfT5uveMA3vvB9+O6n34pepdvQNBQzZVidVWIS6CMACKqS+RZX4XgC3MQWZAq6BDLroA/qr0ygYTMamNvARVhtJIi9eWBlFZVkiYqq6joUYiqXeLBTQqLIPRRD7+m5YgiSBSEBK/Mj6O6SVdWTh4bwQg5m5Q3ELxofCgPoKXMyqLtkeBLXVPCQknAoz2PYETy5NiwqUR6FGERDPEhmTZDqhbZ+snmTpV1xzIMttKyPEIToVNKxaMEAbbnJEql6IBAQiOMzQ1RKPEkCXeoCZT0MB4vCxRo+ZUmW6U8o/2YajDCB2kjTlKBJgSEBgFLoJSK4t0zCd84r6p0g5ZPqhstqh7bgJJqT4GUVA0K+G6DR65rPUMcKxQm1ltuhy26/JUFDCwCodqvDZp0y5IiHHo7mYlGlZfJQg2CVtptpbyCpT42NJm7BJbJdlDVCqradhVAKdqKOT+0ghNSMXeRF0H+XKgPuYakhlUpMMWizWtJezG3Rgs1lXMEQ3yDYU4ZYY/wNQURBUQzX5HgletLthlBM2krj8RyKx3FFlWkpuQfSusslYmiKKUtVIdmu0hDX9YclzLvL6XgVNZxaRZmw7ZbKDMtgbgp58v0BLJSmZekzFRUdnjaos3cV7bw9jUjhea9Hgv4ZQu3KorhPFtWRREwWtf5nsoMwZTzFMNi5qTRVqexYIJZllTI+pFS9PHmoVIWbJT1pFXXzCNEcQ6N68QizFaw166YyOgllvXFUgv+2ad3VjVEe5wLlkUYAhsJ9yR7kXPOhZ4DDtVqUlpD7R0VcY4qpclaSI2qUhZGGdwutvmmcs9S5WrYHtIohFdxETR9WLU6Ir8phS1BZsFjmYjfQurVoIcBQrMCj7mJSYjIcKXR2GUpBYm5SX7owWW5RRxKrmFCGB77ko3HplmCQZ0t2bxPBS7zfnWhmzHi1ICZtd+vuCaTUM6R9xxVgUZiw7AJ1BIBwVQGx2jCiAyA+YJ5A1HsCmzV0ILpOjASluMw+5Hr1IQWRsip3MwD6HYvkDZUxiRpp5S4qNIUg2vCM2A1fGS0fFPda3GeTbRaLejMNfQT1RruszyH700VWdvSME2FbOhLQUpEzJuyHViTSIqPfWTJrrs0ntlB62thH+Uo1GWET0VWXqeyq2j+K+y13MZiSj7CuDI4LEZZgVdsowB3T3YQ8J2u8KKsYisspYRLVJoVbbQEY4sp9YqvdSr9itcQfHZCtU5FX6dFtgwMOcpQrTiWxSzPndstXlN8vdOqW/5+p523U1FYlHAs9iBGKMfsv/Lxldt7y0rJ8tyX90U4yPm75Wv3PtHezH0vqfiWxtL4yR1lFXL5743/qOPHPQ/v/zEqEjv39YPO9emy654xJd/ksVHUVtUkDJvKoUYcoTpUw4uecyWWDS5Hj1dFT7UXk/MtgVW0111w/sWYbczi+IlxbN2yFedtPReHRw9h955HEYU+olaA737185iePYVffu4OzMxNw8qmsWxkWCyUb/7F12K4vwfLz70cx+dOYutZI7jxZS+H6zbRas6iId4tYMOm7d8D+DhMs4pb79qL6YMHcOCRXXhw9yN449v+M8atBXS5Gj788S8jjGLU6q60bzJV7c0vuQFblq+CW6ki1viwLVHu6K86qBsuzF4TDzTGsNbtxvnLurGuPoQdPauwrqcf1599FrEIfvctv4IZvQEvB3YOsnwEyFyKYjSsXr4Crm7hvJFNuPHcnXjuuduQtjLsnhkT9Y1WASaSJqbCFuqeg+msBZtqqSbQmg8QhiH8NMXAQA1u3cLK5SNkB7Bm2V67Gr/64hdhKm7Cr+So9DLYP8KONRtQdWro666gr27Bb4TYfNYAVvZX0W/ayMwcG5YPYcfWlThn9SZcfcEOPDZ6BNtGdkom02N7D0pW2Jplw2gtNNHj9uOS9dtRMS187qbbEE0kmDvVgtagbY7u0whuxUM2EyEPcvzj17+OP/y7T6CiVXDOhu3Ysv4c7Fx/FmpD3Ti5MIuxE5PQFkyMDKzDz9x4LY489FVcdu5ZCFt8ECQzYNYbFSAqe4wPvlJuIWISAgvqSRWkkgd/yUojQSAkI8iQtD31oE47LyBWVFOLBRKoHyZMycGQPZaDCgEQGEPpGtWJyo3HyHlmJFKJwzZTYWiEXVR65bRHUhUmhbDtFlc2uBKecVuRKJR4UvKwS1jWzofj4RKiEWzxoVvafGX3PKcUkajJaBnmg7WGOBQ2pyAhd0RvIjI4BgstEmRU5hEHZzkswgk+MNsGTDMGdBfsypACE8klI7xiQYelgGlGq6GaK8Itk5CI5SWcUiIl/lkse7wcLOSwpRSA8yFFJzbVcrS7KruswEOq0wgt5HoQIPBBn3CB1kCSAlqqDYFEhGM8P5Il5vZJZiLvcxYqiOoqhsWsPeYjUlVmUpnGll6CVYI0AhxmEbJNl+2jqpxEo/3TbDe9mixXofWQ9k11bCQ1UiTM5lUp6lCqR9ohBbYyb1GaUpkjR6hC6MVjIPwhuJIdCSQ1U1UYwHPjXFDNl1HFRa1nrIoRBChSScrcOcJlyQTkNSXG53ussMp2665qs6U9U6OileA09lUzLUEdS1UId3UTAU9K5xpvKz5p+dapsqWij5mFaj4IJKkithgfQHJDpaPJciE5cWnf1QwbZsWFydYii+pNlizRzqxAZJpxzTC/kZZnlZlJmCjq1VCpaCntywiiac+GJaUw/MCCqjPmTUpeHJtj2+UxyBrQ4pbKPbRZWsNyCpZ0sJm3banmfU6VHeeXuXJmBag4sB0XcSNGGmliTRe1LO8z14ZXIcQ1pHAiilU7tJjYafltH3esu9JCy30ZVQMxlWaUyOk5PJcNvE2RO8ZRIB+u0Eurilgs2GkLKUGs9LJQ4WegwtsyDpCYFsji7NxH4jH/kgA4gZWEouDTeE8S2OmBWL4zQlx+mEGrOAtg+Fdbuzk8MzK0mnyTUQ3CQRAiClryQYSZ8p51YVOFynNgtiyVoJqNZjgH+DoyTzVqa7ENi427VgQNNWhhjCSiapCRBSb0KEUuzdM5YttDljbk+qdSaML7xZBmYK4B+WAjTKDVWP5B635TVJksVtHDUDIgTa5+O5dyEfl4gmSUuZ+Gi5gxAlSbSlu5hjQ1EOt1VXC0NJbGMzyoaCt/gl8oycqAr1O1xn+gl7P6+FpCt0613WKA73RjMevtYqPY9mKAr1y8UQZkhE5Umi1WKFG8tnysRVEEfyUc5GvetfoF8r0CeJUhYqfaroBrncq54ljKc1dYXKk2LNR+hbKvs8ijDPjKBRnF/op23MVadTkIKIvfl9V1xcNZ8TVCuaIkg8dXVu4V593Z5lu0CReqR64rgZzt9l7+t9j8L42lsTSe2fFkFVwcBeRZAnzfOx8/rvG+HwPgK9ZD575+0Lk+Xcd1xv6V3NAjVCa78Ze/9xbYAzbq6EVX08KffvITuO/kbixbbeG6ay6DpxvwXBsT4QzWrBnBZedfiJ66hX2HjqKvvw/Pu+ZFmDlxHKMnx9BTr2CgtwtvvPYaHJwJsby/F7v2HcHYxCHUDQ2/8p7fwe13PoBla7fDrVaxb+9ejI0tIEqrqFYN1Aw+RS0+vvT1b2N1r4Hh1Wsw3pjD/vEJ/OZvvBXLzX7kVoCe4QqqVQepl2NkuAduquPjN9+EJGxgrDWNc/tW4Maz1mN7bQiRGeLyjatQzw2ct2YNds1P4q/ueAAr+uq4d+wo+is1fPn+3ehxPPy3T/wptmy6CG980Yvx0PhJ1Oo2khafuDXsHOnHkf3TiNHCkZlp3LXvcRiuhi7XxfiRBSRNPs0rO+jh5rQotaJmJlYt5kxRKRVM+2iydVYDdqzqw1UXX4iZpIW9x/bhQ9/8CvRER2WlB78RIJlNccdDD2IsmYVpDiAxqd6i1dRAl2ajXzOwur+O6YlZfPeB/TjgH8ZHvvgp+PM+Ts3th7GM2VMZeiMds405Uf7dtX8P9hw8gDDUcd7mC/Cqy6/E8EBNHm6XORXMmy1oWJByB83RUXUcDNTrODU2jbsP34u+bhYE2Dh6+JTAx95KNzZsXIebbvs23v7hP8YH/+pfcHCCoEF0agJKCEPEUUtVF+2s7QZOnYUV0jZLUEOfWyYqOonEM1TeHF9HqEOQQKsk1VI2M/DI9Czp/BQgZDrqIZr2P2UFVFCKVk5m/Cn1VVvRRkUZM/H4ZypsTEsssiaD3QgVSJaYGabTgqmJVVGUbVTi5CxbUBBQWmq5bbHbUl3FUDlm3vF7EkSGTDNhUe1GMJJRlZTBpPuOu5Jsu1gAtbSftgtH1BM/tYgpmommIBLjDIMYediAxeIBwj+qHCVvyxYdX9pWORI+ikiQNk2LDaRKlUdoSNhFVZXkARJqSXYcIRbBEc+dNkuz/RoWYLBohFAsFQul5qimYx43ryfVbbprCZAhTGVOG0GtNHVKQYWmrM5inSXIozqQSkRlo44JHqk8Y44e1wa3Ldl3qWokTZkZmMHQYqW8kzniZeIZkB/TbsywwBiWmcNmCQTPLc4RxbTlKrs41wK3n6ch4pD2TEHHqrmXOXPMZ+N15gcGKefNEmuxRQWjNC1TIanDrVdlLcXSU6LUkkKspSlYWWyV+JoNsszmI8ljW28qcFqyG1laYruiILMrFdXMTOgSJlJo5DqmlLMQrPG6UKGaWVQM6kotyFbaMEaaO8h9hcjp95RSEUJPttwyry3LkLRCBAnnNFFWaYv3oAGdGYca1x5ViKSJBOw2TNp7ef+4LKQxYVDFRUDM4yPozgJpV0XUkmIKNuryPiUPZM6iYVUVPCTg56Exqy3kPaMhCbgh3k9sos7aTaxU0jIbL5eWds21oLn8YSBMCMt0scb6oQXHNmFSsdsGnZbDOeDa06FXbTkONlBbhNgh7wsdNpV4pgY/Zr6dJVBd3o/YjM38uyiUtUuVrGnxtR4iKaFRDbEpPxTgepL3JULsFBa/FmhIqTy0HMRpAjPT4OgV1BxbciapTjWDlmrkjrmeMmTM7vNj2GwkpjiUuX4Z58NF6mcIeBxsSY75VhghIATnAk4j2KEDu2qK/RZB2IbqFWQZ/+P5sKHXQtJsN4RbhJEazNRH0oraRR0htKwuzbkGSXweCkDWWaZieWIPFuVyyjnWkTQC5JoHU3dhuB4wz8RMvt9GiKMmGONncTtUiFJkSrztR7KmsjBE0m42XxpL45keBFoERARN5QbZJ9R7bUsnRwF2vvu7X/4eQMecuM5xOsBXqPY6wd5TUfJx8PgKO+liIKyAX51WXAK/4vVPQK92GQW3SRhWnHsB4QplWzE3nXCPKrrOUey/rLgrg7Hy6FT7la8Bj6dze8XxFcdRKOTK51WcU3E+PJfCOkz4Vqj4+Cu//vq3vvuJ/ZctxASbixWBFPssz28B98pKP84d97fYHC2NpbE0zgyAe7aAqh/HMT9bx+ksqk+mNffpnP/3PwXr7NMBLn9U6+4Zg3xOVIPhLyBBD6qWg5PBCRyen5KHvk1Da3HPg2P4X3/3T1i3shuzc01csGo1JkZHcdFFl2KgfxBRY14AyMmJKfT09GOgfwCVajfWbj0X00GOau8yHA91PDo2igePHMEdu3bjb//qw1i7ejkm7v8i7t13CHc+chBHjhzA0ZOjGBhYjtmF6UWP9a5bvo5Tc6cwPT8Bp1bHwnQLp0ZHcWB2EsemJ7HrkZMwbR1BK0E8HcvDsuPZ6DYrODnRQJfuIGxGOD7dxELQwlfu2IfpZojxUy2MnprANVu3YaS7jm8fOIRr167DxHQToQfUPAfDVh9u+u7X8def+yJs3UPcCuFREZHmuHnXboxcPIRDc6fw+NEFBIQKVQN+JYGz2oM2m2Pj8j6sW92vHggrBlDV0JwLkXs6wvkc3pALzU/xqisuxNGFOdzy0ENiSXvz5ZfDySwJaU/GY/T0VjDcW8GnP/Cb0FoaGs0xUcusGBjA8TkfLSpC8pyRU5jLE/T1eRiAg/lmgF96w8/gXT/9evjjIf7xO1/G0WAWfbUqjk+O4aXnnYetGzegt9/GVx76Km5+7B6ELvCKyy7BtO9jYmoerudioN8SGzQVYjWnhmP+KC7fuANvf9uLxOZ67UXn4twN63H2pjWYmZnA/hNjAkymW3NynGIxFAsj+YOCZJLQJXl67SivtmKFSiQpFKH/jm2v0mLLPDxCFD6UUykmMin52TRjI6jKg0upEuQDaaTAHgsTqBmT0gwBaYRKKk+Mykg+VBO0ERIQKhB6mWJjVQlrYv+kss+k3Y47Iwyjckg1qfKhXcXzseFTqc5YGpATxBBSijqMx6FytMTISwur4ynRITMGc6quWB5A+64jwIOHopRoFOnR1mkJGLIItah2E9Udyw1ou04ETHI/YjWmqk/aQ+h/zhAyG41qROaWRQYiqqJMnncoYEbssuIbJSJtg1ZRTrJJlg/rzP0Llc2cLEhFwImqTEvsJ1SBBJvMWJRsT6q5WIAgHJHfU/lmAuLYM5KmYgcnHSNUEkUg5ylNEVABJF0kBJoxKrYuCivTaZeC5AC5FaFwGrATNRMgp4MQghZJKr547gYi3hC8pjYPz1bWXaNdTsLGZd2FSdURRWpkyFR6GgQiqtCAOYQCmcVuy7Wj2pN5HOIV53zLz9AGTGgXSsyBIEdZn5ZkJvJasSzE8iyxhtPCbYtlXCpFpHmYy4vWf/4of4akjEC3tRCIjZdKPqqhpNglYfsv1VqEMhl0y0MGH0lOJRfhHouAYpgeVxxtvNwH98dimhRGZqhSFq4T5iDSpmkSmNsCt1k2kQogt0SxyJw1FsdkQQArz0UVzPuE0E1DVbIF22XCss4smwouXijiJLSz93idWQrC5aAyCwka5VwSgmpDiniYpKrmOYQR01KaitWW64UgUHXVGPCjRLJaaUulWi4lAGTja43wLgZCqgmpdiWYNaFFKULeWGyH5jViU69Di76JRLdh8NwcBeeNRGW5GpWqFCoR6NI7TTs2YTCFrmYQiAKP8ZFUIdt8ryMEZqZf1UESN5FGvuReynlWbDBhMyeglhzCDA7fB3VPWrC5XtnuK/mTbEJ26pJVyXVLGE5rNGMUmMuYOSkCP4JtGgi1CvQ6bd45HEJwI0QWNpBXaN1mVh7fC6nY5PuojS5CeF+DR3u+FSMJmPfpwNI8sTPnVB/GDcS8vsyL1CxYLt9bedI5UgJlP4TupoDHZngTrmXD45u4oyGjmo/n4ZiwPROV3IfttFWAS2NpPMtGGXAVwKgAXARBZbh3ulEAvPLozM0rZ+s92dGp9OPxUXlYbJcQabHGWULMxVSFBXAjoOT3CzBFGFbOJizabzvVa+VzK2AXz4fKtzJo5JwVKrfia+XjK+zEZbVk+RoQshVqutM1AvMh6nSZhIW9mMdARWIBCctZffxeuS24+F4xJ4spF4t9llWfp2vsPV1b8NJYGkvj9OMnUTH3k3jMZ2qcTtH24yy2uGOR+X+qDbpn8nWd+38qP3fGIF/3iIbphRg969bg0lVnY/vwCtQ9U9QOr7/hBYhSC2cNrMD+owtYv34dzHo/hoaHcNaOi3Dt1S/CeRdegrWrVuG8rZuw/+A+HD66ByPLhzF1agLzDR97Rsdw2+6j2LRiORzNwpqBEYSYw+e++mUERjemjtyP+XwBew4/ikOHdmOhsYBajbk+3zu+eeutODjdwPRsC3fcuQsL81Owe0ws6+9C5KfYsnE9Lr38bPh+Bts1sGnVMqzqG0AUp5jI5pFXciRGglDC2KieAc7btAYb1y3Duo0r8Xtv+hncemQfpoMA48dmcOf4UYx0u3AtEz/9vBfAYdZamuPsFavh5Bm2r12DiJlKmQ7XddDcv4DEyhBUF+SBiyql7GSKaqgyp+YRYZL2O1ILL0NfVkNvvytZW4MDVegJUO1ycPzgGHYdPYWLN64Vhc6fff1b8uCXzoao9zoQZ6qt42d+74+wcnm3ZNQFczGixEempahaBhEHEj7IUvFE/R2VGD7wd//0efzhJ/5BHh6j0EA8l2JkeASvvf5lCBwHZ29Yg+/c9Qje/JJXYnTPNJKTIfYfOwXXtCQD8Cu33IfZBLjiwnNww5XPQQU6+twqerpqeNM7fx8HTx3HSX8atz50l7isrzjnXMzNLeCl11yJ2ZkFUZmJpZBW2zSR8hCqkSQ6j43EtKDxP4Ix5vWlbKUk0GG2l4WY6rGMtlXVzimNtiztoJWOQEYzBeKlKcs7aIVVjatECwJjWBBAFRDz3rIEdsb54bZFW6iaPlkokdMWyzZLOhx5jCkcIxUrGpV+hG4sTiCsNGxTsvSk4CNm/hzVM56ot6S7lvWThEkRVZoB+zmluEGUdYRSVO1QWUOrr+SLpYhjpSAjpLFsA47dxiMEeYQbNoGUIY2bue6KUoZqLcMhfOC2IfeAKgPm13SYuYWKY8i2iZzYEErFIyPtDCr6UraYEnJRrUTLs2r5tGxm++XIdEMBDs2STDR+jyDDtthdTWtwKEpVR3LlhIgq2NUuY2BeYC6WP5U9lxKCttWQhJupzu3QKqvDsWj8Y6tvpnLqoIo2Im5P2owpi1XNwTpRoq1Bd9mmStssoZQtbbJUfRLys9xC2lgZOZYQLCslGRepqDGp/jKpqMyVtZlrjwq7KBAQK4UcXGsaI+J4HspCTCUh73XCECrSuB3adx1abA1VekEAx/nQ8khUfbyuYh1n9qKhiS0zNWzEVPbR8k2xaBzDZAMuFZDUSIn8LYdd4bUmZlN2YDW/VOblMGxb1jWrvJnBSBs37ZFiWecc8g1PLLFsAteQsSGY5TRUYvJ+kww+Ws9VGQkVbZLTxvuP9xZLVQjVpfgjA2wHmZbAD5tIHFcsoJnOdmayNFMVSbCkIs9A8SGvpmZzvRMkkk8r+MP7nMUMBOQCKqksJVRithsbk3NN1hihrWWYiFq8q5Q9X3c1JGxTzliwQnCrbOgES7plSItuHOnIWMZiWYgSDRlhmzRvqBKcPPQlezBoRYh4xxLWemyc5Ro1BYLTXpwstCTmQYMv6lUqLEXVRzBpWXCpDuY9kGuImI3oL8j7RNpWA4ril+5osewCVSooCUY1C+H0PGLdhqsHMLjWCCl7e2StE+abtOrzf2kotndu0qnSvhujWmGZCdWNMp3IAgNJM0dsRdBZxEGlc6sJE8yhtaUsQ9N82CawEFDiG6LJCx0Hkk0YBQkSI5TyDscMkaaWkPSKGcKwUwQhi05MpgMIjDT0BIlVQzTJ7zuylqh4FMAbLEhTNUuPuFZj3icsNFKVvEtjaTyjo1ORRpVb5yirw55sSUb5dQROZdspgU8BAmnz5WuZ6/fDtl38TAGMyuCI2y4eHjpBWGfxRCeQ4r4L5RxhGqFc8TMFeGMLcflnihKMAn5RQUjgyPMpN+wy2684hnKpRhnSddpYi+KM8jGvePvd8msBEDuhWeefy629xTlwW3969OvyNR7XYu27fBjjnwlMO2FpOc9vMbt0oazsPJbOIpOlsTSWxtJ4Nqn+fhh4OhMlEmdqvP+PrnhalYFPFgj+qODuqQDHMwb5PF3DbNcCfum9v41bDz2EvccnsNCIMFSp4lNf+iwGu20cHzuBwYqLoycmYLN5Lwtx7MBu+fkNazdj48b11GfgiquvR7fXhT2796EZpli75iyct/lc9NoOjozO4cILLsGuU4cR0oYWh3ho14PYtPk8PPDgLuR+oB6IkePQ0RPfd5zLRlzcd89NyBYOYWSZhsNHxtBtD8NPIqzsqyGYbmLq6Li0Ao+YVRxYGMejx04KIKOCaXa8hQU7xvjMPFp+io1rB3D2pgHcfv/jOHj0KN72oQ/DY6B8K0ffSBdaAWEBS0QNrF23FQtBE5v7hvCLr74SN1x0EQ7sOYE4SHHWYA/ywMP2DSuQLjCTKhPLFbO2+lZU5AFpx3POFvWKhL13GWi1EoxFc5hvRe3SAg2tSQUAZ4MAW3qGcM9DB/HSa69DyI2ZBoIsw9SEjzBKMBu0sLVnFSpJHStqy0QVR6RkGwYm5yPYto7xmRZ66xV0eRZafob++qA0moZJKHl2fjPE+pF1uG/Pw3ho/y58/fB9mPXHcf2ll+HQ+DH8+ttfC7PPwb4TJ6E7pjx479x0FipxBdOzU/jqHfdhcGUXevr6EScN1DUPFTtH60QL9mwGd2A1PvnNm/DrP/86fOOWe7BiqB+/cOU5UgZB1Z4sYeaFGZpq9CTcozWQLEWJmARmqOKCtl2WyJJATpQ0SiElirNYk1B+fp9fJxxk3qChMy+srYiioiRTdlOBf4QBwnoSUQ/yOtCbLFbUzBJQwow+CcS3TLRiuuOYA0Y4ppp/Vdkvj0HlrJm6hYygASlingtT+AkZCWkELrdbUMVlrIs9LmmrsmJumxCCWWcWG0QJjlisQNhEIMZmUOahmcijSM6RgIQ2PirqaCtGQoVcgjQmdEuRstmX9kDmfBFaUXskTb9UO4XqWGhVpcpNvI4RTMOV1l4BTFRY5az3JFghZoja1mPVFKpRsdguTSE8JfAQ+zOvgVh6cwnsTwg8SSFEraWKBFRQG3+WajZHrgOBHoFkIIUqpijsiPsE8hIO5Dpsz0FKBROtzikFXwSjVJcSeAEmLZ7MTiMa1AyEgcooTFmMIGUktGoTdIg0Utai8DtCCa4tXReoSnuwZVsC6KRAQnL5CHKYu5gJRKdVk9CMKjHJKJTsSKudn6fyzQyT6iuqK6kM4/lyXTCPkRmIgOGYAlF5nXSHil0TJkPqRAmniiREzUVrstwjqajNJG9Q1iozJF1YBsF0KkULBFhpQGCZyXokCOf6N6mCpHqWx8d7S2zhCSzm6mUWbL0mpR5cO1SZEaQThPF+DEVlqoo1eO/mzHCDI8DXCqgMDRW45B1BYCztwLaC6lRXitpRnRNBFgEa8zRV8QbvMzJOAlZ1HgZCVZrC4pDMQCZlL8xylA4QRCy88VNkjoLVYlO3XSSGIYpjfiCjBWy2pb1WBzs9WEmd6VSn+fAsWsoJ9WnnpZ3YVUU+WUPAKf/OULU5XKT8PoGlLdmKnA+CNysLREnK+8fnmue02hq8ioXUriKSDwVUIQ8vfgRC2lC6ctI23OQP2bU6LCtGwPhDqmjpcWZpR9vWHmWpqPhSZgmKyjeTv0MC2Gg0U+Qey0UyBEmGrBXDJvR21N9fKd/vitxT3soZy4UMscNXPcB1PTi8u+WthDCc9yjhuIM8r4otm0CvqXkI4lSs7xbfd8IcmpkiobovbqBSM2GnIdKIOZo2ncRIKD/XM5g5rdyExjoct4qUWYtLY2k8C8bpGmo7RwF5fhiMK9tx+V+hpDtdtl6nGux0gwCtyP77QXl/nYCssLieLhOOQKxoiaWKr9xeKxl37/k1eRgVUPmeX5MyCb6+KPIoF1EUijtCNCr3CvBXfK8o/igsuMUotlXO7Sty94pGXe6nAIidTb/FKMNJ/myhHiy2W+yDao9OuFd+WONDZBnsFT9f7KNT7VkcD69jGWwWv3JbP07L2tJYGkvj2T+eLaq/Hwaenk3tvO97z20/VmXgUx1nEoieMci3pncZn+lFAXPJzg0wgxQrlvdiuhnjwJEZKXQ4a6AbtaqL7WuWY2H6FCbnm5iZmcTJCWU3WLtqizyI33fHzRga7lM5UnELVr0Hc415jKzcKE2k/3zzV/GmG65FI1xA4mSYm50QIGhLKyuwbsUm0MkzMDD0fcf50L17MTWfY9/ewzg+5WO6NSoqm+dsvRBzETDamsaek2PY2jOIU3ETw1YX1ixbgZ66h95KDdVuBy87+xwMDA0h6avh24cP4eFDYxjs9rC8PoRmK4dJCx2VWJKVpeHOieNYrnfhN/70g0iNDNdfdikePTSHga4uDI14WOn1ol6rw3YD/Mpb3oa3vfzVeOFFV+Oq887F+v4RVLxudPVXMDp9FF3VESSzzCfL0JoMkdBmFURiEQzMCP3d3ZjRI/S4LkxXx1qnB5/+8tcQtkK05poCFpgZlVMNo+doeSbqVRvnX7YTvV4/XnLRNmxbMYRlQ92YmfEx2FfB2WefjSkrRrXLw8m5U1i9cgS2wWD5DFEc49HRA9iyZiN66734pz/4FK5/1XswsrqKHreGU5MNVGBhaLCOLrgwUUG1x8RENIULtp6Dge4abr9/L+ZOnkRqsLGYrbQJztq8BrubU/BO7seOjdvxhx/9C7zpuuchSyI899XXCjjJA7ZO8qlSuQSpj5HSAgqRCIoIbajoYaadRhUeX8HyCyrBmMnHPDeCOfpjldVRMJfk3ZGv2EqRRbsb/4HJ0gRpDs0E0DFjS6f9kkyHcIbQSoROkcAB2hTF+mhbyirKVkta6By2DfMBnUqVROAZ1WMEH6YcYQwtIEAkfCG4ZC6fyhuUQgZRKeawcpZxMB+M/JZ2QR4Hw7iYY6ZLjhkFNMQakiFIrZ50OhA0RAJrYWZwXE9BJirINNpiaS2lspAqL5JHfi0T4EkFpIAsQhVRN6oW2SynpZIeXlNKC1KG+vPCkPvxmOS6UC9HTkHo1q4GFqioGod5XqKUo3orY6mFsp0yU47gkiBKCjqYnaYTfDAPUSgWXEe16grc5ZzTMiyxc4bkGkoBSRYiiZg/mCOm+oiGYcIvS4Pn5lKAwfM1jBRG1VFzJnI9VVRCqy2vlTT6ynnQpktSS4gSyf7oihVbt0XwxVNU7buqNVfNPTP4TJsAjJpDwheCYeWnpuVTYHu7Z4JqMq4RXj1m6kljMWEP0bLJsguqQFUWnLT80v7tB1IUwfdKWqB5rQjaqEQk5OQ1ZhyBAEreNVJWE4lajgpFAcAh4SObu9l6ynVMgGZBp2qNx0xQxKIZUcFasBwbmighY8nf5BoSakyQxqKYhOpUrh1eRxMpVWUpbawEpGoZxJQX5zoch0pT5szp8nMCng3avQk8LWXvpkqP8JigkDddGMLwajAivufyWtpyb3NadSpWWUiSBrL+aLHVaCclaFJiQWgsC2F+HbiuddAI22qFYsW3He4zFLRmM2eO5ImKxZwfdmhIqIZlfIBkMPK+5P1aFYBJayoPgqA9D+ahiQI4hF0hKGQOIQEXVY4KzhLkmp4pOXsJVYV8v5L7g/mYzNwkiIygU6WHGGHOygoVK0D1JItiYoJfqnZpM+Y1bk+wQ1t2FEp5B+8DW3fgCvhuSeZgEvIDixQ6QatFNWUGfzoReZ9JVSxVspqFJIgUnM0NOHoDcSuFWVHZmrQqM8uTMQG2Y8AP+WEIs/lCZAsN5HF7wgm2qcw02Hyu7L/MSMyCJoKYuaxU/VZkH7JWTYPec4lH4Pt50phDGgVn6p8vS2Np/MijDIp+mOLqh1l1y/BvMRBYBnNliyv3uZjFt3PQMtsJtsrbK8BYYd0toFRhuS1ey3125vQVr1vseK+O//F7VHjMlysKLcrW3HLeXwEtC+DFUZRY8NdyQ28xygUXRQNvAR47X1fOIuz8r8jdK86rKMMgWCxy8ag8LAO8zgezohG3s8ijvM/T5Qsyl6943VMpX1kaS2NpLI2l8fRAs0v/DarJH3YMZQh6JoHoGYN8F60YQU9gw9F0PLr3COLluhRatBpNWJqGWAe++/gJzOQuqj01VIeGsWHVoMC4vnrPE9u5+MIrcc2Vl+Hk9AwcI0IaBJibmMXwyi24aOe5uGTnZVhmD+CWex6Vw9+6agiuVYepGah7daxbvwqZmWLntu3orda/7zh37LgE529Yj5//xV/AwOBqaf6N0hlMzJyCXUkxUO3CC8/bipF6F7YREvJBMmyg5cfYOLJOAve/8eABbFu/GpUkxcwhH8PVOmb8CMemRlGtWFiIAqSVVBoe85DKhxSbzuqD5plo+AEOHX4clbqGoWEPg0NDONaawoGpMUwsLOD+e+/Dxz79SXznu9/FNx95GDXDxLHRUZyamJaH8+n541i9eplkklk1A125C8PjQ14i2Xqb+rqQzqa47chhPLj/BF71uksQ+wmqMRVMGrxBBedcgw9oFRw5dgSnglncfNN3MDY2gS/ccRBTR3w8tO8Ec9DRZdVx09e+i+RUjD6d+Usm7ju6F8F0C57ryIM4lVZ//+1vCLB9xZtejDe/9VVoRjbWr9uOmx9+ENfsuBLX7LxQWQZDKoOYt2Tiqp1X4dHjJ3DN+WejqzKM++59CE5uYh4m1tQGUTMd7NxxLs7ZuhLbN2/BfNqN1zzvWvz5hz+lrJKeLeo45oIR/kgxBjkByyXZ3MhCBD7pc2imsjcSciQsxkjE+kUoRfgmCkCWO7BYQaAewUesoBb5lEn7qlJokTIQCBFAiC1VtEG0cRLWsMyWSjICPG6rbcvU+KCrWlkJKm2qkqj8Ebsu9VvMzaIlUoHBnIUWcodSAcU8Mjaa0tZKpsQyD4LKdrYg4Ukb/hBEqZZaqhsz6GyTpUqGdmAqxNgyIEUVVjtXSyo1JA+OuWY6QYjlq5IMmWSqL6mSU+o9vobFBpJ5xnREKTuhMlJQInLCBgpveC5UQckx8jbifLJcg7xB7VfVBqsmXTH/Smsw1UDMNSPEoGJOFapQFUa1FrEObYVyKQmIJJ9RQxRzdSmVpthJQXsyswZDsUNL/iLz41yTEWrqWKXYRCcTVfl5xCXM+dNMhCFtjZo0YhPk0bYpuiXSXb4nxCrLTMoYCOYylpMo1SXBCq9VzMISZuSJQ9eALvPPchvpHlb2UqotKQHlmrU9yUvMaXel5ZvXn+UxtCyz1VVRS4FTVINZusqfMzTVrMu1HlHhZlLRZys7uM7sOhUQKDmSnG+h0Tlsx5Q2WQHEBmGommfJ1qMd1NThWlS3UqzIDDlCJgXLBLQxS1Lst7KCpIgkyzyV4SjFNlxjVDoyE5Ewk2025JBsjqV1NhBVXJxE0FgGwv05tIyztZYlIBkszkPVFeDE9LwobkpJCOMTuA8ti6WXBrqHpOmzLUes5Z4VqSIXgrRGA1lAAMxCFh6vDiNoSiacFNzYrJS1pNDCqnrSpsvzJRglseRh09vKjE9e4UBCAAmDaW2mEjWFk8dKKZdFMBwHjGskKE3bbckEutxPIll4VIoyUy5qg3hX/p7g+w2VknHA9wOznSGpMkEdJ5fj0QXeWtAqJvKYxTs68qABi9Z33j2GBYvryW8in20iDhZUXqBHbJlCyzy53rbjSWZoRpUy1yU/TLOhbLtGVX1gIfmMbMRm47aBmI3UGe34ljQt06Ydhczu0xA3WCZMIJshc1TxU6sNA1Mrl0IQOfEshscSFwJ/w0BFM9S85ywXyZGz0bn9fsJMSL4BpFELJstE6lVRvUZJArem1u3SWBrPllHktBXKsTJ4I8whVHoydtrT/b5TeVb8njCM8PDJNusW2yI867TrEowRZJX3U865Kx4+uM+ygqSAYjxvZuN15vqVgVwBv4qfe0JZ955fewI0FsdFMFjAQW6vM5OP+yvmmvslzCvn/vHrBVjl94uf4T6LLEK+trg+5Z8tIByBW3EM/DnCvfIoXv89c9k+l3IJy2J5hp35e53bKI6Dg+rH8twtjaWxNJ5949lin/1JHARhT8f8va8Dmp0OuP0wEPdvUU0+U0rGMwb5/nb3/WhGbNrU0VymodetoDkagN6hIInRNbAKr3nNq6GlDdS6esR21tR7sGJkGK6jlFPF2LRsCA40bFq7BeMnDmPWn8bxg3vh+w04TlUefA8eG8P8RIg7HzuGQ4cO4PiJE3judddh5YYLsWXjJkw35r7vGEUAksxg2YiH6WMPYueW7UhDHwu+jwOHjmN+MsKRmXFMzSxgxWAdx2ZmBQQshDE2rNiCRyb3YLCrjrQZ4dGj45hqtHDWtUPYfWoMqwaqyEwNATPTIh1mw8CNV5yP1ct7kTWBLx7eh1es3oyKo+ETDzyA3/3Yp/EP39mHW+7bC93TMb/QxPl9y/Fnn/0s+owq9OoC/OkWHjt2kpFSqNVddCGDm+g4fPikKFuoBpkcn4dJ0GMAcU+OR5qT8OoOlvV2QXd1/O5HP49wNkJLWmCBaDrH2RtXScvuQFcd840WtChB4IVIzBSTwQxOag2cd8FGvPziyzCyci2MHsIVDeuXD2I+NgQiuv0OIoJFqnqSBF2Zjbsn9qIVx/Iw/vmbbsJv/Z8/wMzsDP7pti/i8w/ejcPT0zjeGMcXbr8PzTjBfbsfhp0HODExiclgGlM+gUkFXlbDz7zjP+Mdr/4ZNGZnsHPTuViYncOBsYfxjTvuxv7Dx0T1RHucqJEIrpg3KHCPFI14iPoxQg1yDar4qGYjLyJ81aVggjBH1F98KBZIpBQlop4TS69qryX0k4w2KeMlyCiaTnWx8qoeVUjbqfyZ4jQRruWibuVhiMuXEFF4joVErJ6pGAoZsi8KPGaVcfsiRaTHmzCSx6wsbTz+f23jNQQ8UYhD8ESoxAIPbidJ2T5qCtSiKo4bC0OCE9pmCUaoUqRCiJZRSwC58CM+otPSyRKL1ESiQTK3TNoT2/AhZeIdj40FJqobAxpPXFRwVGURvNGWSvt0+9pwduTiqJIS1exLCaUn+YRiiWQeIeFLFoiCUDIL81TmXpWhKDUgt8aXivXWphLTFgWa3l4LvDapxmIMFlLQ9sv8RMIW2oqpSgpVgS6bOXne/IMUVij4SfuyTH4784/gULEE5m9qUpAizm0qkNpKP10UcizwoMWa21HtrQQaGhWHhIyaUtolbC7l7wmZpZdFXW++z7Apl8ol5jlSNUelGhVNqSjveLy0plLBZ7MrBXG7CZZqxSCIkXLbVEBplmTzMfONtlxu37RVaYI0cnMOWEbBe1XKCwgGeSxUP+ZI4kAaiaUYx7CkjJn3CNXJAnvdiigudacCMLOP2YtaBNvjem0hDgM5N7GxayylYUAg7ytPmlxFW8rsQ8m+NKFJOQyhViRq0Sy35d5KWuzs1ZA2fYFYzAd0TAcaYwl5/CltxVQ+clXEcl8nzBQ1TMS5CzMJZB1aNVuaagnEUirCjASpXVMN1QTCkuep2p2j0BdlpOYYyG2WjzBLk+dDCEhwa8ATGM555bXiarcApwKX7xlUoQpwJ1irq8Zt5lxamqjaqNTNNQetWN27LKjQmdnI/EWqGPMEet1U5TmpL2pQsQhrFqLcQkQYr9Pzz+ISFtEkMD1X/h5jnqM0aztdKmuTNyfXFzMIm2yCNuFU2bxLVSYzKVtoxlRw0rquSY5gGDM/MpaGc+bwORUTNVqHHVqqmW7JhReJItB0bKTwoEcZYioZNXW93MQU8bFr6PIhVeLzeuXy81Th+pkv0QlRKxYozfdJQ3OQV13AzhExw9CgEVhDHEVwq7bEECCK5Jhqho3WbKNt118aS+OZHQQzBGYFeKJarlCOFeCNMOfJ2GmLn1lMkVd8rbDFllVgT6WAozimAlx15vOVMwWLfLnFIFX5YayAeoRgPPdCBViAz061YHEeZQUfs+4Ke23n+RX7KBRuBdgrFH38Hn8tQF6xL7bXFtbhN1r//H1QrdgfR7FtgsTiddwet1EoNE9nWSYYLc61yO0rzqGcZ7iYlbsTtBLusdyjE+jxz0vlG0tjaTy7x7PFPvuTOPj3TTF/T2eG3/tOA9zORLnGsyl7kOOM/St5YTzH9JE5zGcRrJkczdEGvJojD8MrVy/Dy1/2Eqwe7MHrX/tWbNm0BeNTk/BnTonyIcy+N1tHH9iIzWefj8/f8lXsCqZx/PAY+kd6MTEXoRml2LJ5Mwa6etHjVuUhb6Hlo9ZdxfKRlfiZV7wKF118MfpqtUVPtmdoAJnTjUcOT2Lv0X3osVysGVyLLSs3ideOGVn7Tk3ho7feD9s1kTcTxK0IE40TCE5GGOytY+WKHlRcF37UAvZn6HIcfO2h/fjKB96Jr3z4ffj4e38OX/iL96G3bmFsdg5elXYvDbtOTmG9OyDKpTXL+nD7/XcLJKmmOvSmUhdRzXJofAZuWEe1amMmbSCMM7TGfJxaCNFKVAsqH4ajKMGqkUEV0h5keOm2i3DFxduldXOmsYBcHmAhQI7Ar6+/JgDroUePY24swAVnrUe/2w3NqyBOc2xeM4CNfavQDFvYe/A47hk9CNuzoQUZrrngYgz01+FHc1Lk0YU6Lty4Dhdv2CDQZ1bzEY2nSIMMxydn0BJfKDmVarB970tvRM2xsLXSg//zm7+GN1x1HR7d/RimppuYDwM4cODV64j0OVx70Vbc+tl/wDUvehO84V40/XnceO1LMP/4SfzvP/1HvO76y1j5oECVRpWbsiVS6ST2NPpX+X2CCp3lAgreSBg/iQ2BCtVDVOZIkL1qN6Wyj5ZdKkQI6chp2BxKKQ9VQASpbP/UTT4wE+QlApCUhJCqMUECAouo7qLlNI8zaZjmwzavOwGd5JiRgGiq5IHZZimLDyTrjgQLsBjYHzIfjIUShNOqOZT0JE9DyZJj9ldCWRFt4SbD9ZVt2bb44E61FYGkcsdRkaVqPXRYRopQbMCxgDSxGdoOTD0QQKmZTMOPpJohiqjQIjBKZI6ZP0cAIsoxKvEY+xX57ethq1w9qiA1AzbnmrmFYOA/QZ4GI4skL09KOHidJCZRZSKKddp2BNoRgMpUEABIaQGBIc2UVAvy9VRCquZS2yTMJPgIpT2Ya5wFJQzRE5ioG2IBlbIPAjRRC8aiapPMRYM5hXylgSSRalM5PmnNJfwQZZ6CEVRo0rIaRSrbjtcqjFSOHgEmm6wz5qAR0hB8xFSAcclRJ8gMQ6rsHKUwS5jzZ8FFQ1Sc0rgsyk1CWB4/MyGpaGPDL9ejAohshKXC1LHa6j+iVwK8PIdjUbmXCSTjeufOmV0XC+RUVmI28XLO88SHQdhCaENlGYV2ngOdCjW2DqdscuU58FBY5kFQA2g8JxbTBPNiy2X2oFh8feY+8phsKZghyOR7BdV6Ggsy7KasDSr5srQhEDFYmEdCG7VYPGk8pQ+eO2Runi3ZcVRQxq1MsvMSAi7eT7y/2HbLIobMlPMjeDN1Fwbz8rIACdVmWih5lLJidKqyQxiZjbzFzDxyWF/UdgkBZtYSlZzATkLrIEIcBIiZNkd5Ku97rsA8loIWaUjmPBIB6xkS2mBhSRsuS3fY6M2yDK3eI7l7VZe2dt7rtEJHUiLCOAB+MMAyjIh2VMtCPNOStWCx6IZ5dxJjQNUprw/hPq8x1Xi6vFfxnouNmpTOBI0QZjiPWsVGaqbyoQkhs56G7GNB1ArAhRP6LCepSNN05kfyPqN5HoyY52ogsVRRTp5Z8KMQQZRLdAbzMJLIQB4naEa+RCxkVVtsyjlBtNiKec+pGAI5S7HwMyvUl+IWm1buSEPm6ixLlg85OCda0KJLGB5CycnkNTQcTSzJusucRAeJliA2+X7F68R7eWksjWd2EOp98DcvfeLP5Ty6YpTz9co218VGAeuKHLrOUQZVBTh6soCvKN0oq8zKFuNC1VY8rFC1xgefwqL6ty9U+ylnABYW36JMoji+TkhXLh/pzPorBvdVgLcC9nW+hqMAe2VIWLToFoM/U6ju+Lqb37pWtk/YV1ZFFnbhAkq+o/tXnrhG3F7nQ1txjuXrUEDdxazaZStzpxpzMfs1R5EXReD3hKKPv1+y7S6NpfETNf4jKvueyjmfDoo9Xcq3958hCPdkQOGzAfidsX8ls3DAG6kgDxK4FQ2RbqK10BAIsHHruZhDHddf92rJ/JmYn0Xy6X9GMtiPhVaC2akFDA/1f8/2/MnjGGsCM4cnsTBiQjMGUK00sGygC9XKCnjVHszMz+CRhx6A1V3D1i1n4fLnXCQ/O9wzfNrjZLPmwol9orS4Z/f9OP/sizA/NoljMwcQdVFkpGHV8Aj6cxtdy2zc+egoxk5OYl3dgVl1MH1qATt3roWu9SBLTmBiNkAjsrGpewhv/OOPoV6rYnpmTqkW2KZaMWAlBqJWhgnHR1U3MeRWMO23MNTrSVlET80DvAbunxoVH6I+qGHBTPHGq27Ahz/+KWiOBp+WJkNDM6XaJYWZAL1uDaNTk7h++9l49+/8NiaO7MXD99wMfc1KsQDec2wSTk8NE7NTeN655+Bfvng/BtZ5mDnuK6ig+VjQGxg7OAejF3JMs/6clIQ8Z+dW1JNe3PPYg2imKR7c/Qhe95IrsXHlGuw9chBeVxUvv/pa/NNnv9q2XRK7aG3oRdGVokshlTtGjv/ydx/H5MQCZmwd7/jA72HVigHMNloCFtJmgtnWPLzYwnkbtmMuSbBldQ9e9zMvQv/KLrz+hlfgzjsfwMYLNsg1nJunLU2XaynzxUwnPqSLNKZtpSN0SQrLJaVXzLKiNZYW2QRJYsCk3ZPZiTohDsEObXJKkUVlkxQ+EDTkBEgMgle2UkJUlk+YBm1nov9rgz7m4rG8gWobZvBJnYdYzGijo/JIcuxERUN1IEkfm18tZRNmY62jykGkHINKslSVyLBx1ySslFZWWqQJ8FLYjsryi336hHVp6RVFHSqgrzWnaizVERGccbJYQMBzpxKKeWO0Y1LpJso+nhOtoQqKUMUohl2uZVeDFvC8eG0l2E+1s0pOF+2/tBvn0GIq0KisA+I0gW07oPiNiEtsp6YDg/ZjHiOpU9gGgBkVVinymA2+zCNjU60mkJp5ZoZny35F9WfQPRnCsph1SEClilZgODCzWEAJ4Rpz3Uwqsgjh8raFmko0UVFxzdLaTC4RCdxhYy2Vi1RzEqS3/ESsyXkaiU1ZilbIaJNMGoYJVwiwud6kbIHXlbZuQl4pSYmQJrTpUuUpB4iYllhmNso6UMUmYW6LHTSHI2sqTkLJNZNztZgzGkNjrmNApSgtq1Qq2gL5uRK5XelEIBAhwJbrQhhD26yFzPFgJC1kKcs0VM4iMw7NegVxK4BTqSDTHMR+E0mYwLMrIOtkI7Ifm5AODmk2JflW4AhpINDU0UJECTMBI7H32hYhZAbGuhk2sxRbUnihRSESX9pypHWXBSAEWSmBZxZLe6zFY+U6DCwYdQ0J/y7RXLHzOvw5Fo1EGkydVnsDRjWWVmdRovLDCL4dhBFMz0YYa7CSGHQZc7tmjTCLUNWRAhLeQ1xr0qjczvtLLU/WDOE2y5t4/FLQQr1tHiMmUOR7L0EggVxOKEwwq8FlriECyceLQlrTuRxp+QXC5qx6f/AqyPxY8jxz14BFG6/OAioeZBUaOXScwHUp6m2KhVmnelTjfamJSj5N6kBIQKqUsixHii0PVqslKjlLi5GnDuZaMcy6i2zWh0YIJzl/BIQVuT6mww81gCAC7Ipqx061FnzDRCVsStOzFKVIYQxgpwESqg5bvqjsNKcKV4Al73kDCdWbjif3SWwDWjNBZhNi0gLP3EheT1vaf1koJIU9ThWWRXBLy3EmxR0Bb266xVnmEyhFaZQ7iBZaEnHgupx7QkEDnsW1vzSWxjM7CPVoCS1UXmWr6mLw7ckWZJStpsUotvfdtiKPYIiQ8cmOQsVXBkr8/SdpYe3Ij+PDCj/u4yhgWbkkotjG/2j/nmrGQh34t+BxKgAnpRqlYxBLc+eBvQ3trx0HXqjAVyckLOa03LwrYJHW2I5Mvn9+2x/L8RDYUZn4ptUr8bcv5MPXv1qai7y+T2Lye47rMPMAoYpOysdeXFd+/alYZ4vtyCjZmjH6r5bgctsutxu85utqfstAcMmq+6yGGs92BddPwjH+exz/Eed8sXMm8FoMjJ1JmHe6fTxTttknu68nc9zPuJKP+GNl3yrUjF7MzUWI9Qw7tq5C12APLrj4QlTmHsVsBnzl5psxcXg/tm3ZDpgVxNEMdu175Pu2t+2cK/GCnZdizcAIZg48hL/92J+jNTuLTRs2Y2xyHKs2bsQrXvZy/PK7fhUvfdnrsWHdZjx0/y2YpwTgB4y1yzdgaPPVGFp9Luqug3ByCqE2g77uLriahvNG1uHU7Eks7/cQRx42rBzA8jUj6O7pwvWX7kTXoIdHD8zgy7fcjgMn55FGOuq5jd6Ki7de8nz8ybvejD///34Rv/vGV+Kvfu0t+KNf/f9EzZB5OYKJFuaTFl5z7Y34w3f8Ml5w7gVY1bsejVM5zEzHpoE+vP/n34Av/flX8eJtF+Fz3/mGPBxJyYJjwq2yMVOHyZyuBJicmkNqaLhp917c+HNvxOvf8zv4xM0H8LWHHse9hyfxnPN24PDJk7BNAzd99X5RgcycoDrCxoqzujHbVCUHei8QzSaYnmjBSjK0ZiLc/J378YU7v4XECvHcCzai2msj1SpYmPNFdTU6cQKOV8Vjp46LJdXptxAHCYw6G2WBtX3L2g2sqtX0FVdej+6+Cur9VXTXu7HQbKFP07B92zYs+AsIgwxDfb146MAB9Lk6PvWFb+HtP/fT2LblLOx+bD9qQxnSyMVf/O/flAKMwaoOrVJR7aM6VXsK9BEuUnklxQ6EfYRwzPfiQzKzyyQ9j8HuFDlRwaXUeFRQsSFUDp4Nr6ySlOD+SFRKFlWdwi+ZS0VbOoVgqgBFmi+lfIEqOxYS6AipwpOiD8IJwsdUFWaIf1g1sdIxypZWseoSItoEBG0lF/PO2LSb25JvR1UTlWtS8UpVHQsZeDSxsi0LZxWlX4KMgf0a87DUHNDCJ1ZYQkLCuYxwiAovqmU0OA6ztwh1tLbqjJLFtp2QmVoa88wyZV+WLDaqJxl/ZomFkqpCnj+hDCEOM/WoXGMeXELlI4/U5DlnkrfF19tik2VQPwEoYV4uWWl8Lf2xPKeI+W/MzHPYIEsQo0sxAdef7blAO0+MoJIh/3KtWcgg/RMa3c5y72gGM8UC1W4bs8iDlZ1UMFIJRnUVf4YBdmbb4siSC8GcCtaR1FBRl+WwCHqpwmPuYUabK1Vxyu5qi83WFZVWRHu0KEyBMGApR4w8YfEDiSyPGwLilb6SJlpLFGtJ2pRcQwUKyYZM5JYjykEq6fhFm/snIE40OMwKlO4Rqv4MUW+q+SJks6UwQSfE5XuG2DQN2JoGr2YhDZXVXOAycyDFbkp4SSUsM+YI1FpSysHMAULySo2QhTlvKTTXQkxloEmrOOeBdlJNClhsXicqGQ1Xyic0syotx1RDEoTyWojqUmMBhA7PZcaa1EyICixkp0LFkw80Mm7fdmT9VvmBCCE3VWbMGaVdl83QeSpW4tTj+w9VbxlAaCZUNkcy15LyECNLRM2nmoFjWc95xqIZZbsl/JamZpPKXN6WoahSuVwJee1KTRSThPkEVFoWwMxjhDHvE4LGUCIDbE+DQaUblxXt5KYjpTfyHkAAnVIZlyNoBbD4vkT+GScINdbu8MMfNkWzZMdSVvpMQ7DQhJbE0KyKqEldm43CGnJGLrgWKlQ1h3yvcGDTDt2MkfHmZ2tvk8reALoo9CK1tvh/ktnI7EK2cbuwwwRatVeiJxInR873PSo3PQcWm8KrFVgVWuP59yznhRb5BLrlwkibkpGppQY0KSthSzzfC1TsgVavwdZmJWYg53Ex7y/XYLAtnvPLdUc6GqWS7avX6pJZaOYhamYIk3EYfggKAR0pH1qCfEvjmR+FoqsAfcXXTtdEW8C6H5ShR3DHbfyg13AbTwXwFT9THgWcIzjrVImVVQiLqQfLqjT+un3gLoFfZYUgB+2u5Z8pv6ZQCHYWX3TaUoucv2KUlYcs9SiAIBV1RXEH7bcfnvuTJ865U43IwW3yZ4rtFRbbYnuFVbk4xs59F9soj84/l5WJhZ2Y811WNHYO2nWXVHs/OeMnAeT8JBzjs238R1ThPV3jxwHXCtXzT9p439M4N2cM8vX3r8Gqlctx9dWXYePKHejyPKzo6cH6dWtRdWuordyJL3/qL1Ctu3j42DyOHj2C3t4eOF4vrrniufjKTV/Fpz/3pe/Z5lVXX4nYy7B5xw4MDw/j3AvOweo16/Hc570AV593CVYOrsLZm8/B8pFu1IaWYd9oCxNTMz/0WJeN9GD2yN0Y6RvG3vkZHBifxOxoUxRF9048jusuOQf/sutRnDp2HPuPjcH1TNhWF1YNr0XLD3Bs+hg2rerDlWvXYMtAP9Yu64HnWTgRJ9h9RMfeEwm6N+/EO//873HbQ7ejxpwz/sXepQNjCT72uU/iM9/6Cnp7+nDRhvWIai08d8V6WL6OP//01+QYV/X3YW3fKlGpDQ50iZ2tORuh3+oSe64T8eErB1oqPL0xT4tgjkPHjiI3M8xaPj59820Y6e7B1BTtgMxxA7xugo5M5un+fbuwMOUj8flQbMDqsxCy4dWjNVWBRNcw8dCu45iaDTG30MJMOCnh8HWjik987lPoH/BQG6rgAz/3Fjg1C7/xmtfAMA0cm5lAxWCyoibn8LGvfVZAThyk8OwUWZDgNddfjivO3Y7V286G12Nhz/FRnJqewEtf/2vYsnYF/uUb38D9j+7B1797B7778B40m9O4a/8ufOyrX8Xmmo7uuidqG11yxQgOlPUzb+fy8QmesEcsclJgQNBEqEL4RWhECyYtvQq+SRKfgDHCHQIgQieq5lKBaaK2Yo4Yt5+yAoLWQtoT+ZDK+SUoYC5ZKjbMmHlXBCdSLsGbzZCHUyoDacelmi/PHRgm07xYAMIHcAXymNGlbKRU3/GQCSVUM7Coj5gLxkXFDDrJDzTl4ZlMQzIGeTxUvtG2ytZp2uoI9Ei+CJBoj5S8vlxshhKQT9lTG9oQ6lExJqH8fO4O+WBPCx7vkrbKMWKJA1Vj/LNq1+Qx8mflt/w/aWxNEBEoJbpYGGlZZui/Ku4gZKICkgCSiiZuTL0tEX0RlBIKsjSA4IZqSNob2wZMgQRUEwUxVYBK5UdQYBNIilWYECKU+VLlCdy2UkNKqTLnk4DQMGFSQUnbJwGUqChVgYlBWRtpHdcWVZ0ZCxx4jgZywxSLMcWNktenjMRyD/CiU9FpWzbizEHE5lMqvqga5M/qmiqukOy/ROZbE7sprxUBGQMduUbYcMv54X41JLmpYKdtIOSh8bh4MlSE8nqSv5hsNU0QpbRKthT8lVhDZjNmCKSplGufGYYaSaSsyZz+bM67ZYvKNfLZWkxfsAnLyRA0UmQOVcq52G1F4ccsQZPrltBLU9mFLM+Qwg2VWKlR1UXbpeUgo3VTj6RwgQUm7HFthSy7AIyIVIy3YCJZdfJFaSWOpck7CmKYLmEWga+t1LrOoIBT5uk50lLN+9xUOYA5y0hUVmfCVl+eB9tpCZJdfmhiQyMoZbZd1BT1KKMLqJJTa0TNeUS7P1V5UQoKIsnHeEuypTdndl3VlcIOWpUNgkaeD1VrmS8fAqQEW/w+IbRhwWBpEZV4tJqDKt9IClUcpz2PvA0cC0nLh04rrahNbQHlYeAjt2rwY1c+8KDCL88cBFT/sv0485UVntc3Z45dJgo4ln4wm49Zg3EUIlwIAD+U93M2/JppCF7GrNkQRXsaOkCzAYPtxOLDTpBwHekmtEh92MH4AiqEUw1wTAs2W3HCpgrOpCLWNZFRWcv3h6iJPHbk/jfyEGnYQuzzWHXkYYIwtWES+rKzJ23JcXA7ie/LOqal2nGr8v6SZDFC0r6lsTSeReN07bmLwbofZrGlZfSp5uw92UElWQGvCmVhAeHKgI0PuWXYx++VVWfMojvdsaOkAiTgImQT2PdH//OJhzECt0J99wRMK9lSC2BGENcJ2TqtsuUCjCLvj6DveR85/MS+yudR3k45y688ynNRBnI8h87GYYK5xY6vvI0nSkZKrb3cRnHMxcPeVS+88PtKSAqb9bPBArY0lsZ/hPFkwOgSCHz2jCLmYLHx/h/hffNMXttn6n1byyVY698+/uIjf4qLr3wBDhx9HMcfvQ/VriomTh3H4ycmsWPnJhw4sA+Dy7pQsXsxPjaPvu4aGo0YH/yvf4Cjhx/DfF7HkXu+igte9Hosq9cwy/y89rY//a2vwR8/gjf89M9/3379yIdne3jgsXtx5/33YMu65Xj08eP4pZ995/e99vHJk1g/sBxHxo7gn752F+6/52vo6/cwPzqJiWAeXVSFBGzNTKTB8+orLsKeQ0dh5y6C1JeigeZsCsfTcfDwMbz1RRdjvpVgWa+H8dkG9O6VuP+hQ8pKZmd41bUX4paH7sZDBw8LxKACb3vvMO46eRyuY+ATH/pt/Mp7/y829vfK/u4bPSTKunNWn4Nzz16DTTtX4Vs3P4C//8Y35GG43u2gTxvC4bGjcG0LRhcD1RP0ddfRbC6gyWwlql5SDfVKF5bXLOybn0K1wpSjFBcs24bDs0exbtVydKU27t31GNIqkQQw54eImznMbp6kgl08lj7LQasZ4NztWzA9PYfjc9MI/QAr+3owGS6gORPikrXr8Hsf+is8fu+t+P2//jDWrBzBK593MapuBadmInzmlm/j4LFRMIhuphGgu+biknO34fihKcyk0wIZqehat2YjHtj1KG547uuw5+Gv4GUvuB5/+/nP4nBzHptWb0O36eKBRx4EqgOwtBSbRroxmtfhT84LWuGDJIVXFDwR/IglMs+kmVFsu2KPVDZRFhOwPFO5ipnXJeZTeTZVZQu0xqXILdo7U4F0AvJooaRyjUH+LJphAQNVUARQxEdiYyWAoyWNYI9qSQMGCQvhm+lIe6qARdl3LsowQg3mgDF4i+dBiEA4YeumHIdbNeDTbshvUC3DgC0SLRaHaLq8lipFAgSd1tCYdlwTmhmJUscSlSBrM3TQAGyyaCAngCJUiGW7UUDroQ6HxQRt4GmmbCvlA7iyJXK7nGBRv2kqo0wF6ymox+w6UdSZpuRqUbEXJ4SaDhISKeYkUjlGmBDRbuwIeMuSWKy1VKwRhPBeo6iHFlo5T5OlFcyj5L6oDuU15jXltSMsYhEGZ4CZYCFc1xUQxawvnjXVaLbDAhHVGkyol2SBKJmoOJOCDF4XURJSeSR4TUCxbTkCftgmyuITHoK05hLCsqXWTJGynaKtJKWKinluMl9i3+aFTiXbjoUVhK+Eciz2ICQxuFaoCiR4plqUxyIQU4PhMI+PakPaqHVYFudc2RWpSTWYu9jOF+T9Srsvl4iU7BDu0hIrajbpb5b7w/d5WArKSl4lbaNpJoo5VydYVMrPxMxgG1TQtotiGIVn0TKr8iU5D1xDFD+mEduCM4Ri9WZWHBtmU8QB9ZJcrxREsgla5b3pMY8rQBJbyNKmAEHCHgIrrsU0c1Gr68jiSK15KWZlpl6kVGpcHDFPpCYKSM4N8zcNx5I2cbdqIY6oC+T9ZSGJfTgOC0A4wdwngW8FRuYrpkyYTAVnasA1qWxMEcaA47qwKhbiuQYSnfZkVSQllmXasaUEJBTIziIYZgfmrifZk4SAlkvlaYo4Yd1urNiXQHoTSUhFHwE34V0Mix8KEEbmbKTOYVQs6I0AGbNEPQMG7dk6gWQq5RQG9091L++jqi0ZiGGQimWaHya0WhoyPQTsKkxmepqRyufguTYW0GKZSbu0xqjbiOcj+UAriWLkVRaCEAarhmuTZUVphiSNYWaWUmMaqdi6M9eG1+Mhn2nKvc5zEmWiKIFtpTr1I+hdNOTS/q7egzm/NqeFNu1mA7HhwOXtzTxS2v7zCAbVohHt0u17P0ql2ETs6JmOv/voX5yJf74sjaVxRkYZti2Wt1ZWZ5UB3lMpzjidvZfbfrLbWCzvrwynOgsqflgrLAcB1VvxWXnQ4q+dRRFlgFjYXQtIWC776NwXRwHTyn8u7NGdUK14LfdVAERuv3wNyqUfxbkX7byd2yzOtQCDxc8VdmHZJi3DbTttWU3CrxX7Kn52sQy+zgZeboOgj4NKS4JYboeqyKWxNJbG0vhJH0+nRfWZ2M+PezBj9scK+Ypx7yO78M1vfQlutQez48cwMzuB/qFhHJ4+iPHDMwJFtqxahy1nn4OB7h7c+OJXy8996Ztfx9oBG4E7ghNHxzHcb+KS81WY8X/74B8hxHEkpoU//M9/+MS+jk3OQzdirOjtx97xCdz6rS8CqY85v4J1Kwdw1RXPQ0+1ImbJh3fdjz1778TgqtWYOnYUbnUE99/7XfT09ODWu+4F6oBLO1ViYGi4F7t2HcZrb7wSDz72OCq2jemFAHPzczBdSxRQz92wBkcn5nDnnqO4ZPNKHB2dRhAnmIGPC1euguc6eHRyDGt6+jE/tyC2uO5qBaHpi4opCzQERoYe3UQzDbCqZxUGllnYvGwb3F4dXurBq+g4edzHgbl9+Nw378D5a7bi/qP7RRkTRwlWDgxgoeFjAQGuOPccHDlyCq950VX43//0L7h+x0Vo6sDuXfsxls1Cy3UELR8GbXWidspQ76kgMmOYMNE8FcBwqV5RNtAiY44AZNuaNdB9C6cwinQqwkwaoVK10JqLYMPGn/23/4z/8ScfwaTWQtKKMOX76OuvYI5NjbGGWq5hYHAAk0EDV6xdjzf89Gvx7v/+QawbWIa9J07g1c9/ITavWQHDGcRv/dHvYOPKtbhw8xYsH67is9++Aw/tV8rJozMNdA90YWHOlnbc/l4TjcCUTD+iNbHb0ubFEgsWGFANRRhDiEPtF09cYAhtfCo3S5RxzCdksYJyTor9Uv6DUkYxo44QktBQY1kCc90EGBLuSfUlTN0WlQtLIqhwYd4f1UtcKwIBxRYXKejHQH1LaQc1iy2TkSiKCBloBeRa4QO7YTOLz1Q5ebIPVc4iF5D5b5J0pzIAHcdGEofSpMnzZqFCTIJpqkZVAiqLihtmBTKfLqNFkHRDFQ1IjqLMIWARnFFhxEw3V4FECgI5QUXuIY+RFv3ID0TtlJt8KKftNhYFItcPLZyGlqiCA5mHGLrRLtaQuSNPU9bSTBRfTESkjVip5qicEssr8SWvk2yT6j5lKyagEvsiX94GjPw+88tYpGFqzFMLZHtEY7aZIRJrJgsaeM19wPDUn40MQSsSS7uUMrPRVhpnlTKP7b4ERrQo0w4qWXwq5VCumQA3i0CMtmZLChXE9slGYSnwJWLjj3D+eMKEerROa08oN7mWqI6U4oOMJRpc1TwXpby0tRghbcTMdySYzWlRptVSZQ5KNiDXMWeSpJtHTmu5YyGP2L5KOML7QJVyUAVJ0KxrLDpgIYsqM7GcGFlCK7gqAuKxMVOUV4igRYocLM67K4UOVLlZYmumFboO1qnqmidlKATohMG0Pwv4ppqVwJbqtpwqMt6nVBcyK5OqwUQKJ6iGE6Mty4QrGXQRU5IAeYh12nOpPqXtOpO8Qi5hhswJcGTLsOPJfcMyDkKtWCypzNOkzV9HthBDqzIfksqzGAmJPwy4/HDD9KTFVhWM0Bqqmoczg/5fqiapHk6Q8wOVmAsxl5zAKDbA8ncRfmZUeDLUjuGGQkEFtjHTr0J7LwkX4TGVnrFqi24lzLCM4Zq0xfM/RiOwVIYZmhA1McEwQT2hO4s4ZJ0lOTJeY04Ccyn5iREVmYT4vbbELxA1ZhbBLMtkCG0jKVyhKpR9GaLcEyUsMyVZChPBINg2dZi8B6ts7WCEQCLzY6VBe67Z1qKstyyVoUIz0h1YfB3zNT1a+23YVijH7ec6XC1EkDKrNkeoA65nIPFZIBLBrvCeoBIyRGJU4NAuHuVIPY+BurA4z/wgwXBheRo+8uGlh96l8eyHfcUoIM5TAXoEcj/Mllvs74dtt9hWAQU7bbHljLiysq8Mt4pzKF5XVriVgdhidtPF2mE7X7cYJOvcTxnElY+Vryk30xb7WwwEEgBSWbdYWUYnlCsr/8r7LvbV+f1iLDZvpzvWxeBpJyAsLMdLY2ksjaXxbBn/XkHasznz8slCvjNm1+WYSjI88NC3cM3V1yCaOY6dOy7B2Vs3QrNzxFmMSpWWmxR7xo4gC31MT0/gf/31x3DwxBHccO0LMB3Y2LxsCHMnHsOn/+Ur+PD//j0cfvwh/Jf3vgddtofIH8cf/N9//Qt51UAXJg/ejSOnDmP/ffdhqBYhnBnHqcfuwokTx/C5z3wMx48/Jg/XK1avxgN77sPnv/gvuOWBg7hnz2PwBlbg0ccOIrNzzI8HqHdV0D3cjUOT47h+5zbc8sCjqFoWDk5PCMBZu7IP24eGcOXaVZhdCNBfqeCVV2yFazhYNdKLlpHgwtWrBa5QoXWW3YNtfX3Y3DeE7YND8DQdL7vsuTi3ZwQ/97Kr8cILrsSW/uVYmDSxZfMAtAkP33lgF6684Hz8v699EV+99UF88b5b8emv345Lzt6K3ScOoqfioq+7gt5qHS9+ztX45D9+Th4Q79+1C0EW4H//46cE6B2YGMU9jz6Ic7ZuxO++7vVIGgkc3caqvn64iY6rzr8Iw3o/PvCy12GZ1o/eld2o9XpwdQf99Tr0VEeFKqeKjmOjozg4dRI7hs9FT/8AalpNHu7qsOEbIb5yx61YsXIQ4akFafvVHeD5286XLEAKXJYPb8Dlm86HEQE379uDd/7uf8VgrRvTDR+rRgYwMzePmVkD//0v/hi/8LKX4b//1m/gkX17cWxqGiM9fdBdDS+9+lo4toe13csEtOlsEJ5Vij2qOlTOHO2bOlIJ01KB8YR4hBnSqNpueKV6RRpdpRyVdkaVzUUwwgdVyccTlVQM3dKgE/DQZmfqouTSdFuAA61xBHa03Wa0AFKlpXRtSG3a8PjgSoun8vaJZZQZdLS9EfTSvtkyYInqjUevjoGg0XSZE6fDsXNVRkC9EpU8tEZKc7EhpS3MA2MenShoCA+5f10VnhgG0RO/ICQHEX+GVkkCM5UECA3MHGyDC9OWvDcWT/BhnhIeqqKYa0bbLFWMUUKQFUmOG623GuEk9xKzTZUNnkrdSGDK3DYCT4IRQiqW0XBuVUoaZ0nZhQnppAClnVUYM7+Ocy1lHLSDxuL8pdCRtkuBpFSlhcwApBKtnZ9GlRNhk07IRtCbQGNOmki1eOxUkiWwxLpNNZ3KBCTJoZWbCjHDrKosRfVlubap5DLyWktlgLQ5c7AcxCY4srgGOP8WTBaLsBlWWKiaV/mtppR5ktlIlZatlHimQwVgKueYUfooeZJUgPH4aXEl9IygpbRKQhq/TZvqqn9djxFBWVF2wwIUFknw94RvBE0p25YtBXBSQlgekcqGpAVTQCHVY4YmvCYKXFG/ulJKQVWhJi2vFlV9hMO0W5oVZImFRPdEJSpgi2pPRDANFtrQhkmLOy3rykLO66PWuoXUSMUyzLzHDGzztUVxqCc6mnETzfkFmXvOBy9zxMbrTBXdMISQMIhQWbN1KSBxjByuQ/DNW4PQSfqeEUVsfdWRG/wggOw4EPBmVFhqEcv3aXsmTOSa9QmqtAg2r5FLKz1bj03AZZEN17Il7we8NkRvFD5Kw62uwanawm+59qhKlcuh06pKQGgjCZpiC4754YHtyn1YzRMpAsqjhljMk9RFEtny/qBljsqI5KVSekix5xLOMXeRH0QQjKXMxqStPNfgxrQ40+ptIDZNhPMpHCNGZnswwhYiv4WsnQHIhnDTSqEHCvbxPZHrm6pXU6/IOpR1xZkL2zmQcgxNuQbMzBRBZRQq672TIaWCs94jeaOaFUmRiIFA5rkZ6FIiE4SZgP4ws1AhEKcaMM0FNnLdyv3mUOGaIIgMgPcKPwihaZ/3tuSRRmi0zuS/XpbG0jgzo6zK64RahXLtqdhrCyj3ZPe92ODPF9t47+/f8T1gjQCJajH+x+PrBHwcVLnxz4UyrngdR+evHIsBvsKGW2TycVud8LJQsAk46wB85TZdbqPIPSyOsYCA/Pni93xdGQYWv3L/RXZfebtllR7PucjoK7cGl6FgAegWg3nFvngM8tpSq3Gxrx8E+MpzWVYALo2lsTSWxrNp/EcDfJd2xFhwPFXAV/z8023jPWNKPv7z/4F7bscHP/37uKjvXAz3LMNzLr8SzeY49h5+HHfd9xA21jTccuAIbIv5RQnWr/z/2fsPOE/uu74ff02f+bbt5fZ6v5NOXbIt2bhbNgYbF3BMNQFDQkJoMYSEP0nAIQmQ0H6Aie0QQGDTDAZjY1tusnrX6U663vb27va277dNn/k/Xu/PjjJ82ZNl6VRi9qPHPXZv9/ud78xnim6e8yobMDq2Dru2b8XbvuW7n1pWe+k8Askxq2CoPijghIkZP/ov3oMwSPC+970f73z9W596/X3778XhY0eRGiamjx/DRT/GmOfCrlgY9oDNu65CqlVx94NfRfvCDDSti8PHLqJW78PmjRvwyP0PY2B7He/aezUOnzmL9evG8Ompw9igVeC6DqbmlwVW+hcWMFr3MD3XRqNqw48zbKBl9OIiRgfq+NsDR6R59cqJMWlqpUXKsU20oxh1y8K8H6FqAZtHh/Hut78KDx08hV1X3YiPf+wTePlr9mDyaBMz3Tn89E//Mn7oh78DfpRhPuysWEWBauqgk4ZIohT//n3/En9z79/h5Pk5gQhXrNuJR049KUCn2nBEibN5aBRHZ87B1Gx0mNPUTrB353bYeYLTs7OooYrzy/MYHR1AxBBzXYMV6fCrKSq6gyjwMVIZxtTceeSegc31IZxbWEQcRPD9GP2mhWrFxQ37rsFP/PtfBJbn8Om//DN8/It3471v3IffueOLylrVzbGxWsXOnbtw5NRZXL1jA+4/dQKdThe//oGfxF13PYy/eeBOjNdGsHvXJiye7yJDBw8eO4H6pgbmTyxQcCaAYNPEJkxHubTJiqWNoERUUswuU9iKLClhAylv6iViL0dMW9pKCYbOO3resFNNxGZOtuEqDigqOS6HWWpcvjhsLbZo0srHm2ORl60oxpT1jffAcZiiUmVGGmkhG3M1mBktmYwVS2DymA/bAq3ENsmMRFIrHt2SwcYtiZHrBmiY7Ia0MDMrjiopZtjRNqohCpX1UQRgbLtkeQDBJMsxdE+USaIIY7Ovo4o5pLVU4Br9g7Q6amIPD6naY7+IRRVijDQMYIg1lfpA1b5Lz10qNuVMVHOwWAhhiioqoXWX80m7oaiMeINOtZ4lx38eKnUXISuBH9VczJvjwczt5PKy3JYsstAP4VQcVchAXyvnUFR7VGaGSAVM0VJrCGxKuHO53zkZCS3LVPupBmHOBxWNFi19hKxUcho5TNMTdSJVgSyyEXWZRfBARSQthMoqy6ZcgrJUlG+EkOqYoDWY1mlmOWrMGWO7seFITh/3sbJ80oJoiaXVZD4axVVaJAUUCVV+OmA7SgGVWxqd0ogzRgCwvRYwaRl2XIG5MfcTVYgGbbe2rAuvm8yWI5xMEzYuK0sz9YYELyaVrMyV42cxX5G2ZhYmSF6esoPbeSzAkzCWll5mOfJAlVbXlJCXrahsVsmRdwnP2aDMeaCCypKcSEIoZo12M0I9FkDEojKTfcLPsKhcVS24VFtzv9HezNxCKvuocg27MTIwL7GCJFhGpc450hATwhku4rijGqBtG3XXQ6JTgeki0wKZZy0lgCNIz5RyjWA9YTaciYB5kixmsW0wutTNEkS8FlHTRthNVW3UhVbxZF+y9ELyI6kAXVFSWvxMWoJ5XNFajeLhAdWnnD/a7h3JszNY7MKCHMJMPiDgBZuqzAq3OZUMxahLfypxPRDFJmyblnluRyaqN2J3s8JWWx5rNhKN8E1lqLpaqvaZw2y7HDFhMq8XAr6ZAxoiyFw0WPDElmzmVjJTlbAx8ME6IJcN1SLjttCKMtg8zzTagyM5ZuUywtiAzBF4mfihwDZmQsoxwHIcQkuD5xht1TzqEiQtA4abIM5VGUnS9KUgKnYqsKXFOoMVBwhYImRrSM0MVlpFErVkzvg4hGpF7rvUtJF22qhUlCWbxSGSV8jzP+og1qpi7xdLtZ7h/3z4w5fjny9rY20858Hst96n64RuzKcr7JYcBbD5eu25l1L0lcFe8VlFsUfxGWXlXrGM4vfF7wjuCltrr+rs6QbfVyjins7mu5pa71KNsdwO5umVoVsxyuo5WVaPjbf4WVmBWIZw5ff0/qxXdcnXEPZdSvFXrEt5e4r5KNa7d056rdurzXFZwVeMNavu2lgba2Nt/N9RxEP8UxxfeqGVfL/zBx/H2XOn8Mvf8/P46v2PY9mpYqE1i7H1e2AHSxgfinDv5DmMVodQcxrYMD7G7gK0Ox08evjiP1hWrX8CwwMbBPBxPPTwVzAC4Dd/80/w5ht349Nf/CTuPXCP/K4VLaBz8SQ6qY32whzavOePWmi2mgg7Mfy8gv3Hz6HZvID2wjnJjjo5M4uJ7TUE/W088sR+bLh6FIOVAVHFjI4M49j5WeQLORa7Ia4cmsANm9bjipFtGO+v45GjF9CNA2xa10/kgBNn59BNU8y22nj9ts24ZdcmbB0dwnDNRV/Fw3h/DefyJnTHAPPrmUH2iYf344njp/Chr3wRP/Eb/w0Pt0/gDz7+GZxdmMSmiWH83m/9IjppBDNKcNMVezC2bhCvufIatCPmR2WoOCZ++a8/jFNTF+EZJtzGBhh9QK3qwqk6WGz5ojKbal6Elxv4wXe8F//9A/8VY2N9WF6cw8HjZ9GOIpxbXlypm0jQbPtoz3bR8lUge6fdFmBw6vyUCosPMww06uoGN86kDXMpCbCw3MJn770Xxx79HD5z+1/AGLRhDGX435+5C7pnomE52D44gkqjjurYJlyxdQvmFzp49ze9HldtnMAH/usv488evAPbvA3YvX0dXn31VfjP/+3X8KZbrhL788XDc2z/EMVI0I6xlLAVVDCZgB3prxWro+oplRw35tPR2RcTsvBmkLDDVK213GKq0pihJgom5u3RpmysLJNFF2r5qgKX99hKuUUFE/OkaGczLCqLVNEEYRez0pKuYoe8u9YpYqL+hoocAqjEh2nTKs32UjZQKnUOgQBtxNKhIR/GhlelnCNIIySKCJU0WhxVKQHD0AwJ8k8FWFIZBtpQkSDMVbkFtS6xH4mNkuCLgIeqooSyKDYK0wTL9xY2Z4JPbrVNeEnaRRhCSEllE+eW2YJcL1O2l2CLWYBSGZqE0G3OEdtzmZumGosTRGLtJDBLYqrPVtpCaQemPkin8o2qHpbSMiOPeV6hQBZ+jmmqeRH1lISyEbBkCkhzHYJIlIJUNMVU0sl/uuwnsWXnmthNbRYWSFsxtzGDYa8cC5JHCMRiuVYqUF3oEe3MLCmhoo95fzF3pliKpVyEytCUFk0FlgUt03LL/EeTGWKxai+lZVHmWKn5HFNZwqnYo9LKEp+xAq3MYSQAI+wIAqoayVdXsghpJw0TBD5VeIS2zNCLxb7MRmvNdCXzk4CNqxawBUEUp1RG0XJJlkzFnlIT+rEuCkxCQl2UkJwWZjdSeBdJuQnz1+JOIApEqlnjJBUYSXgmOZBI0c1CyTYMJGuR6jUGrBFiqcIS2tzZKmzEJkK2XkvJSVXNOzP8HBMW1z0P4JpVBLxed7qIwhBh0BKISnUoz50OSzgIo1mmw0BHjS27BGkEwjrcBmGrJfs7giFFSMzn4/4yibgsT5R7tPJqaRsGj1vXUS28GVWZsShHpW9HlJ0JQhbXyJGqQ3M9pcyljV5UvdzvllL0xr7sTyks0RKx+TLIIGZBRERIq0lhiFZxpXGX8+tYtM670oxMumXVbJguY/5ClSPIM5jQPbNV5qBlix0cPpDxgJFAT+bbqbbwJLdQq9E6bfJyCYft1H4gZSW548DWPYSJJeo7gb1RW2A1rdUSPUmrtihUbUQplaUZtIotDxeiQBVj0O4L0CptwLQSGCGzPA1oLFKi3Zst3tzPbhWRQ4Unbe603SeIvYo8LPF9DRYVtaTbiUqe5OVLZo9KzyRB1WMpCUG6unZlESG2BosNv0YMh1mAomi8rEaEtbE2nvM/um/5j//34XMxfuS706cKK56ucfdrDYKg1RR9BHWFSuzpRvF7Kvm4HIIkfl+Mci5eGUSt1lhYLtzg+6jKWw3w9a6TqOJW1Hr8Uy7oKL+GoJLLoz21F4AVSr0yACvUeMXPCsBXqPZ6YWHZ+sufFYq93vXg+4rm4d59R+jGG8wij68Aj0URCMdqc1I0CHP5nMdLQdTVoOLaWBtrY22sDTW+XsD3wedBNXc5l/l8rN9l+1fydVduxN6rX4XHH38St77mFtgMN3fGUckXMbbxSiwtaNho9NN5g93rx3HDldfg5utuxMj4ZhjpEk6dO/XUsuZ5L14aV15xJZZa83jky5+APrAX3/2mt+D8oXvw4KHHoduDqG28Fo8/8ijM2Eej2i834AxFr7kW0iCA3eli7twUGkYFUwtneJuCU5OL6EyHaHgWFuYKhVt4AAEAAElEQVSbeMXG9ZheXMLxizOAk+OK9UN4xzVX408ffxhfWZrEJ+/8PHbsuRYj/VVcuXkM0/NtdJHCdSwcPzuHcxc7mJ7vYH29DxfnWtgzMYYtGwbEArjLGxYQU9dsXLdtHD/02hvwlbuehBXl2FcfwLXmOrz3DTeKxekP//x2fPGJe5H12fiDj/05Hjx8GOFcG3cd2o+6U4ffTdCNI/RZLgbrfajrAwjbZ3HfYwdw9eYtUmbAtlIjdPHDb3w3xgf7cdtf/Tl+7ld/DrOLywgrGgsxMTrUJzfEhmdjttuVG9tES9EYtWHaJtI+IGTIPwOpohx+N8LZM9N43bXXITOpKFEQjDeC7rCNs+fOYWxoBC+/eje+4w23IEWEqBljudvFwlKIl23bhTvv+gJOnj+JRy+exO333w3XHcLbXvsG/Nef/U284S2vwMTYBjx67DH88gd/ErMz83BsG1tv2ICrbt6O67ddgWqjDqPqys2g1FwQJLAZktCEqEXabZXFUqxtXHc2mPKmlrRMRHepUqURPukrRJDHC29GCQ3ywq7KPC9mvxEIqfZdqoCkbUCYCW+ICZiYz8ecN+agcTFsTWXRA0EVVUu8jSWIIKwhEFPlIIRCVLsoxRqthInY/AhmuD2S0UZLqWpikOy2DJSAER5JKwRIEmPdguU6AlTYTEn1Gls4ddOVZsuc+VacLVFZ0UprSEaYtLdK7h2xJ6s4MliuK7ZXUc9pVOQRH1hij6bdVrPYAJysgF7SKSrRqJIzJItOCZ1UUD9laWL1S2OVESjvYyZarLIMaUWlQlXyzmKBkWwhZbZfInmIBASErDoifh7XlX4+wjuqIQ0bhq1y5KguJOAijNYNtstKS4Mo3whCOVcsvNBzHZbNeSVV5KUvEVhIS6byWap9T7DV7XQEdogV2bZhSQGLsgyLBZdqJM6ToasiDtgwdGblcT+oEgeaoqngFChkMINO5WFyOwk6YxaQ6Cozjw8fCDd1xxOQRzsvjxsCSTbrinPZdqWNmaUbUqOc0+LI1mMev8zDW8kIpISLJSCE2IS0AoJ1sTrSrs0CDNVCzeMtFbBJEEkcpgArjxNCUKrpqJ5U1wECQe4Pql91x4VDm26SwqQaiyUkYQSNCsPAQhTSwq5KPLg/ay6xoL5i3zVgUCEmTckskmDrrgKOXqUCmw2q0iRL4K2x+BddWnsDNv8S8DLbMlD5kmwg1iIEnURgJB+CSBt2FknRixzfgYbMj5T6T6qieXjyiE+QBhnSoCtQ3szYoqEL9OUxbeUhLOI6nof+ihJSswR8Sdk1LwGqulcs2g7nkgpam5l16vijoo4wlueDmXZhEXZRaejzIU4XFoso+GAgCOR/x1RMxl3OUYbEqgNZU4A04TfLgmh+jTrSiiMAV2cLsthvNeRxVcA3y2AIGL1BFzpbdam8NBPJQqSOmCCZxRzSPs68R89BJgUpBjLWq1MJm0bQ/Bx5kKNiA56jsjNjZieK0tFFxAcNVLISbFONHGrIvQoSBKhYbEdm0UiOkJC3FSDWclTYjJxo6AYs0LDk9ySdfjeWNnKWksQ0DceZwPWoHcCt8LilqtFCymufzj7iCKZA+7WxNl667boEcAXU4Sh/TyXdM7XtFqq71YBQ2X5LoEhwVLy++Izi94RxVMgVAImv/0eZeCvrWIBDQrUC9PUWZRQ2rUsVZ/QuW6zARUHFre99qtm3WBY/r1Cs8Xs2864GL7kc/inbaYtB23EB5Yp22kvl7vX+vbAjcxkFNCze29v4y3WjbatQ8pVbgXs/r9z8W2wP1/9S81Z8Dv88U3Xk2lgbz3asNcS++A+Iev+81MZLodX7ua7Dzz+NrfjZLvtyWpWfD9vzZbPrfu7vb8Otb3kvFv0OTp5r4+jBx5H4y7jy+muxY/1G/Npv/Gd4moMnTh3DN73ilah5Dsx6H4b6Gzhw5IwE3tuVddDjLl5983XYuXn3P1j+/PICPvGXH5Mb02xsG5ypuzE/28Ybb32DNLb2D47i0cOTmDpxD6YWAiz6i0Ds4oYdWzGxfhvWb9mCY08+jLsffQitbhd+QJBC25CDa6jUGx2Vtti5bhdPLl7AVYOjmFvMsWx24QSiyYJv5GDE1dbGMM75S2iYFs4vt/HyrZvkhqvVDXBichELegvvunqfNE0utUJUXUuATn/dwj0nz+CVWzYjz23cfvQ8xsY1vO2afbj7geP49re+HDN+iv/4e3+MN7/s5Xjs2CnsWt+Pg+fOYfvIVpw8fQ4+Olg3MIildowYAfobNVTMQczOX4Rb09GNQ9jtDGndRiU38co9O3HeCBBcaOO+k0cx7AxgdNMADh46LTdYBH4qGU3H6264BadnTsDUDMwsLUoGnOeZaOqhsrrS9maZ0AMN3/zKN+Djn/1b1GwHw40GZsNlfOcbvxWf+sLtaAZd1Nw+LGJRQKA5p6F/dBD/+fvej1/649/F+YVlvOJl1+G6Levwic/djet278DDxw9j99A4rr3pRrz9HT+Ez/7Zf8P//IvbcfN1+3CyNSulIMGpRWzctB1HZwNVyECVnLR+illXyiKikPlc3KgcOUP2JT+LzIM34EUSHE1mzLBSOX1izU0JZRKxAxpQbaacH6rqmPllsSVV4JMhMEB6KKSchCpA2ipp9dPFXiszSjWYKAepIlyxjRLmrZRdEFBSQRjFqp1V1EKkBgIVQ1ElxQk/lwolkQWq4gBCihX7LdeVUCmlMktjjlYu1tokiEU1KGpEZg9KWQLXRymuRHzHUgjLQcKCELbosk0YERzbEmsyIQJvsqkYpA1PijEI7gh/dFOC+VleYpvM/+OsJpKXJ1F+NjPbLEStjqhxpG1W8tlo8VMeakJJwgT+XZpuCU3JrlaKLLgvuX+5HmRatG9SaiZqOkJDQiW+RaAf1WNqnaTtWJSMVFsZMHPacKm5zQQqEUKSmHGbJSuRyJ/AMNeQEBJL6y+BrA+dAM3UsTwzD69WlaZUndl2XAfLgham0Fi2wSITcS7zWLJlngl/CbJYRGM6LCjJYFnclyovjYUQmckjgbBPRGoIIxaAELIQEjLDURe7aepHAlP0LFCNvFSXUeXIbDLa0Hkc83jj8cIyCGmQycWGHXYiWV++S1RnBOAse6DFVhBuiDRXGXC0ueqOmj9anznBYWajYkeICezEe+zAZCsxYSV5C485WnRjHQnhtTxgITAmAOJkAgi7olpzdGasUf1XFTDLLEyXtt2oKxEEkk3IshZmEHKf8liWEhkdZoXLoqqUoDOFyaIJwqCAsQ4B9JRK0ASZY8ORuTWBKFTQnWcpYaCU2hDWqXxJHvGZacEiLMxCsZ4buYGYeX60lXIf0Bqtx4gTPiFQx6/B40jKVZTbPtGoxuT2+AqM81zS2XJMu3+CdsT5Jt/MUHUzsa0S8hOAcxsJCKVcRqy+PCYSKQqxvBqQ+8jZ4s0HCk4FaUALsy02fUI6FsEws5NKPCqX5ZIkEJzTGSHnw7YogOsMoJt2UNFThLqJ7kIIr87zzoURdwWy5oaHOA5VTIDJa5qFGL60QtMqrzPbkI3FZgIzZZonYbEOT8sRUPmbhgLvTZslQqEUltCyrWsZupmFqsmMTx8R27MJCAkptVRKX/hggOjOZH5grPI52dacOa6QddOIEEa6Km2hxR8RWrGGP7/tI5fjny9rY208b2M1kPf1WnXLxRq93xdfVyvRKL+uXEJRAKzVrKSrFXKUl1l+TRmu8Qblj968OogsL7v3e1nuihquN5uuXFLBUfyuUNn1NtVeKhuveP/rKj8vkLN3FDmEvaMo5yi+FsstL+9f9f34U7Cu+HnZ4ttb3nGpOS+PcvlJee7/qWVfrY218Y0+ninQYxzE2nh+Lb03P4fyjG/44o0rrrwZQZTijz76YZx69O8w7Lbh+0sYrmS4cOwufNu3fSd2X38T1m/egZGxfgyOrYfNZtmQSqEWgvlFDPbXsHN9Hxabi/9o+R1/CWka4OiZ4xjwL+ALjzyJC81lHDyyiJHhrXjw4AlQXNb0DZybuYibtu5Bd2keYZzg4NRFzJw/hnNnT8PvBDBTS1r/mAY0PFzBdLyIL588hM2Dg9g80Icr+kZhZgZONc+j1VpG1JdB69Nx4eicKMQOzp/DUjdAEOnQPAPnl5uYbC4h8BO8bM9GjJn9uHN2Gl+aPIX7Zybx4PQ5fO7MMfzNvYexNBuj080wUHeRZz78ZQ1fePw47p06jp/9yMfxCx/9GKqWg8/sfxA37dmL667bg+3r18NODDTGVCbf62+5Fjs3j+IVV1wpLb5L/jTqgzkyH2gmAaZDHxfnFrFrwza88up92De6AYcunJXcr5Ft/Th7YR5JMxa7NG2MfW4D33rDKzHZPI2w3ca6xgDMLMXmjaNIDR1V20G2kKKRWAhDtl8a+NO//xQyP0U3jXBmZhb/7t3vwx13fRndNMRgrSLZcLR9GpkuoPCHv+3dsGsWfuaHvw/f8cZbcfj0EUxPL4iiZG55Du2lBA+dnMZHPvZnuOMLn8Xk1AVRyBybmsKFU9OYfmIGfqKh6S9ICYVqRVD5cMp+S+UQYPPmUZQvhDkkTgo6IGWGFlVfvLWnukYVV+QrllqDtk5aSYn/TJXDRqWQZO9RKUaLKGEif8Y8LIIdljqIHZY31hZ0lzoZVVSgFH4snKG9VKn3SKsIaDS5KaeKigooghOR9iHPVPZbQmBAG57BbDQW6XI7MlimyhSz9FjsvmnCkP0Ypkc1lg6KcET1w7ZbQgTK8mhVzFja0BVVl5FFAjpsmxlYBHOpwCRpq9Wo+iEg5TpmspyYGW1s2qTdc6VZVanzdOltoKqMoIdwMmfemtiRlSXV8lxR14n1j6UKzPkjKF1plqWikLCD+4/WXP6x5bMdPn2QORUzIi3AtFmKe5rZc0rhJUJIAhoWM0SBWB8JKwlMuH9pl+XEh1QIEZwRvHEfG8QoVLkpRZeo4NgmTHtmpNYvJZy2TNhGhlrfAFyvCtOpS3Mtj6AkiRAZgcAIyT8UGy8BYVeORQLb2A/FjpzFhuTKCbMU+2gshTQCBnlE8JhkE6lpiXqOB5TpulKMQMBBcMmmXpXBqJqZjUTlURLCUtlEpmU6Ct5KPiGFlXkC2+Fyua0qn0+zbYFUCeFpHAowEYMrs9b4wUmCJIpVNiJyuGaC1LAlU5EPBCzmxGUJYjIxygsTAhrVdOsINlQlJVRrIQjlMyJCPy0Ue7vDhwS0tKahKvLIVftyUYRDGyfXm3+nWDROI8RxgNZyC5HYyhPJw2PxAgEiCyfy2BOrMEG8IbZ1Ezrt4U4NSC3JkWN+H89HyfTj3Bu0VPN8zOXBQJI7cj5SK0e/qzQW0zpPUSjPR+4nObaZeblSLCNZcjwI6XYndAN0T+XNMiwxDFOB7mxJ5glr1Sxpd6bqTmd5ikXVJNt3VemJwbcxy5AQUDektVhjqzGhNcGi3xU4xmPKlEnjccp2dF4PadtmwQjVronk5+Upy0Uy2ddZsgSL15rURh45cCo8PnhMdJCavOboyGglZr6grcsxECVd5Mx2lFzEHCZLVwR054g4pwToeYqQym4+ZLB1OA6zOrsC3wnxotxF7NTh5jFMxgxUaEt25FiresxeNGF7fFjBIhqqdT2Bk5wz5lpSDZjEAcKAaluCcEL+Lh/HoGKqGIW1sTZeyoOQ7VJQ7+sp4CisrQX4KWfu8SvVZwUMKpRkfM9qgI+DX3vtsr2wqSjkKHL8ns4SfFv8Hnk/l8k/hYqOf3rtteVRqAXLarfe9elV3ZVbfHshGT+nF/Dx/QRyq2XbrQb4ivcXoI4W3ELlV7b1EhjeYX3XU+tRKO8KIMghRSMrKr/yZ5X3CZfZaxcuoGDZgrw21sZLYbwUlWZrY22sNj56CcC3mnr1uUC6p3vvi6mCvGyQ79DJY5jyE7ztrW9Gt9XF2Yvn8cpvehM2b7oSzWgA1199A77l1ndgfHgzkvY8bNPF2eOHkDRnMLFhEwbXb8bG9aOYnJ7F5IyPR06dwwOnWk8tf7h/EH2NIUyePo0tW/fiNTe/HgvdFKmrwXYtrNuyDdt2bsAbX3YtBgwbswtzoto5P30ei2cfxaEjx3FmdhGGa4vyYX1/nwhTFhbaciO9fWwUyx0fy2GISqWKqbClstMSYIs2gKV5H8MTfVgIfIzZHnb3j+DMwiycoILvfdd74GcpxgZq+OLJwzh17iKmT86JLdDKdcwuL8NuMSzcllyrB09PYv/R8+ikCY6cPoO7Dx5BazEV+BfOhmgbEbJOgk/e+RV88m/vRRKk+Opjj6KDGDWvgttuvwMHp89g8sI8zs3OY9fmK1HX1+FCZxFmB9gxsBGDQzU8MXMcH/7Cl/G7f/kpXD2xD0PGEBanljDaGFY3i75q/fT1EF964n7MXliGlto4MHkSg94oTs9eRDzPUDhgeKyGZhIiaiV4+Y3X4uXX74brWhjwPPQPNvDxz/01Tnfb6HMcfNub34iNG7YiaTGrSYX0//UXvoCf/dVfwR/+6afxN1+6T3LC9h87gShO8fipKQErIw3eQDp4xcu2oJ/EIs5gjVbhNGzYg4bcHC9rQ0o+Iy2YbGIlQFL2OrEo0mIrvyckU9ZMgh8piuCPQxZBqIZOqcAQ2yyhmspbIyCinIb5bQSgvDlXwINOxURgS5aHUlZAZZ+E8hNq5bS60WYnVZhKdceEK9sQUEfbL6kSQYPKCSRPoU2WFEFlDoogjiAqt8UWSYURwRNlXnwdy0TSLIMfkqmpNhaxWVNdYyWw2RRLKxsbZBnQT1shvJXMK0dUaFTDUCXEn9FKSGhEKCSQlJbOjHY6NsBaIPahAlGjEo7NsgJXOKcUdHF/sA00lNIAxuCRNIlakWpEg8pFqg1XmnPFpkn7sMoGlIZcZuNxHiIa9DRRDLHAgtljKaEq4SLni8UW0jpMGMZXAkk3kRZr5rYRuDCdUYL7CR+lTZiqN4LMWPL8pJtUoCevegQ83LcmLIeAQRcgKDZWtujymBHrLvWJNlwC0SxV9k+L8Il5gVyqI5lxhA5UaDIXz/ZsgYjc/yzLoC2XJRMsoKBik2o7CqO4nVSxUTXGsgOuE5WGUiAh7uFcoBiz+sQKLECeLc90GJtqjlLxnco5nIa+OpapcJOCGFqqla2TsIVCSYF4BEO8LtHGS6toEsucmRqXFSHqZmJppupV9hFVmGxSpqqTSjj2cVgebJfnH+c/RkSlYWqL2o0KZcJpgr8opZ7ShWkQ/xEgE1S6onSjApXbzhOLx1Hdc2E5Dhy2kmgOcstDxbZhSvYej9EMiR8LXDW8BEmoji84rsrkpPowYt4c6SMbqFWGJdWUPM6T1BcLbBZ2YYpP3JYWbq6/U3Vhezx32HSbw/R9GGzApd05VCU+lkl7f6JgLXPrYm6zsgZbUi7DrEQDSccXwJfHAXQqOkVGzNexACOEpScC+PjeKFDgk2VStEQzYs6gJZnntabBJZQzCYRVmYzGhxncF92QKFWs3XrGlttU8ul0gnDdl3IZadsmIq/asFlswlZaVEXRaqIldn49oapSlzIhwm/ifzcOlTJz5aGD/I7Xx8SQ40RKfrhPeVxbjCgwxdKrJbRu6wK2Cf94boa0YWtd6H5b2sObkY5uR2VcsqjEl//16sounaRSCBO3WzCdihxDTsOFWWEjMzMY2XRuC8gP9H4pB+LDk7WxNv5fGWXQV9hovx5F3y/97M3ytQBpve+l9bVXhUc77qUG4dFqvy+DPy6Tr2HWICFXOU+uV0VHsMV1IvgqL/dShRwF2CpAFuFboTAsA69CvVY06fZCwGJ9is/pbdwtcvm4LYU9uAB9haW3WFbxlbbkAq4VtlmCvnLLbvHzcnnIanZd/v63Jz//1PoUc1beV5ey5HL5VAVyMJ9wbayNtfGNZYV+Jgq9b2QV34uVaXfvJaDc82FdfzEV2JcN8uVZgCErh9MYx2vf/l245WVvxL5dO+R3N+0jmAEOXejin3/XO7Ft7004+PgDgF3B9ORxdJa72DA8DNcZxNmFJh7efzcevecTQPdJ/PUn/1Dee+Dx/bhq7278xR98Aldt24y33PpmvOXWt+DeL38Bjxw6jnqaYHxoHAMb9+Db3/UeHJ+6iFdfvQ3tSowOMjxy6AnMzzaxMNnE1dsnMLfcRWqkCMIE56aXcWp+Hp85dgj3HTuDB2fOYGp5ScCO4zo42ZyVm//lbgd7R0fg9VXUjUwQo3+4gq/e/VlsH+zD0eVlvP2GK1Edd7FxYx9untiEVhTixh3bsdWpYt+1u8UWmCU6rtg+CkqvBocbuGnP1dgwPIh3veFN0IapKNFhVk2MjjSwFIVo9FXwpjfdgDCI4Ru0ZeoYbDRwanISGxvr8Ojpx7H/9BPYObwBocmbqSU4uoXpqUXMt9rSerp5+wiCio+sm+L07KTANy7vmtdsQBRG6EQxmq02LoSLaLUCNIMmnNBDo9+SNsfpxWW58SQYfOiB/Xjg4HG4tHZGGl45sRELeowR00W7FeFDf/rXWLowDy92xB7oI8F82EL/uiFcuW4TTDdHt0sVB7B9y1asH1qHII0wubCEThzil3/7d/ClySVkjo7l0/PQOjnCxQSaR9szo+h4E69KEiS4XmyXZDbK+iYRZVmMWNRBBCUM0l/JJyOModolYd4dIZ1qzdVplaNKLVMh77lGFRoVNKaCMLQOsoySZDFViikBVgzf5w1x7IuVV1o1BR5QQZOLoo3lCUqllCKOVfOrQZtsxnxAkq1QGnV1KYtQ6jsRhhFgSXj9ymeJgJGohgAqkxZUsQvT5km1If9dzbw3W0cUsOWU8IHcj9ssyYCiyKLiJkkJLpUqjvZSkzCTYJTWTq0upcEKbqiLBAEYbcy6wyw9MX/KMUSgRwhBSzOhGO2HVBcKCCTMEgWlKQ2/VHARLbENVqBbnIjV2iLMobqSakXmCEbUWtJCSpGjJtZA2kszghWiC+bo0ToosMqWY8KoVCWPj3Ns5qoIQMpXCFbzBFHEzC+Vp5jF5or6irZoZU2m6pHKLKXYZEEOVWFU40XS7cB9RWshHxyw1dNfpmKPAKICk7ZKKQiIESRA4AdIQ5Yu0ObJEhICIR/pCoy2TUJQE3EcC4CiRI7IUOyfGrPIuKNYEEKLrSVNuswqE6sxgSRSBJEhWX20VmdidbYQpZrkOQpM5g6U8yIR0GWz1VVy2wgqDURBioz25hXbZ2ZUoGU+zArXSxWKELDEQQjbJPyyBUSlzLpjpiLBMhV3RJ2OBsNhJiJXI5UsyajbhKlbiEWVp2AtMwwJrZnpZ2aWAGDOZW7XJceOquuQZSo5FapdhLTJOzocrwbbqqDS6JdYgaRNeEwFI/MvCYN5ZMqswKAaVXMQMf8wSBFmAWLThlX1oIdUTdalRZqFG1Q18ryJIx9RQLUvYboByPlBSy73VyrqNEIxPiygbo72cMdZsSvz+kHIZRpI2DxBGzVVedLuq8FJA4YbKtUtFXCpBr8Zw0jVfFAVTYs1y2x4jHFSHLbJJrHk0EWmg5hzxdIerh0t4a4uql6qB3nUMtfRykykJgGvVITD1BxpXta6vsy/tObGHbFyM4JAMvYMAwGVcikQd2KBrYGpmp0THsi8EvJ5g0YlZqaKhuIIJpV00nhL63QM1wJiKQvigxQDRmrAEXWfj4xFSZkNz6nA0kM5rwgOaWfWuU/irvx/hXEMPLc9g/bvTMqGMipBOyxe4TlKFWuOhFZzBNKU7Xru5frny9pYGy/K6FXysRDjUuUa5e8J/HrfW35NGXQVijBCol6YxJ8X4Kz4Q0C3mnrsa+XuFcUghT21/HW19xSqt+IPM+6KdS/Dt9Vu3ArIWKgEC7hXvKdXNVi8rgwPqewrXleAxeLvBJarNfuWIWOR/deryFttfK3ClfL7ynNeqAjXxtp4qTeJr41nb+HkfD4dyCvP9TfavD9XAPZsIOHNJZDX+/4X0nL7QozLlsn3H/7Lz2BswzZs27BRwux3XnEd9mzehCW/I02J9YFxXJg+h9CsYvdgBZ/420/i8Qe+hH03vh4Xzx3HTbd8ExabBmZnnsRow8VX7nsEeq0P125fj7mLi/jO7/ohDPX1/4PPnJ95GHc+OY/dG9fhwJHj2D4+ivbiPE4sZ9h/9xdw7b4duPPhx9HqLir1BlIstyNUhi34SQLPMLB8poPtO4blhq2ZRXBDHR03kfykiBbFxJRg/X7PwoX5FnaObkA37uD8XAsDE1Usz3WwrtEnisCx8RpOxi1oCwlu3LUFT56+CGoufuyf/RA+9LGPYPPYRiw6bbH83WAP4mToQY9OY9lw4EQ6Fhab6KtX0JxdwrTWxZBTwY7BLfjg//gN/IsffB+WvRZmzzeRLsZo7OlDHERo6K60W9Kqizqwob+BzRPb0F5ewoFTZzA44GEhDzGhV7Bz0zY8eeA4tEELx544B9cw5WZqaNMgmu0makYFvhYg6KRwqqayiDF4vY83cxm2rd8MfbGDI61Z0CllGY5kAF6zfR1mZ1u4Yucobj9wVLKt+odcZM0Mg7URvOmWPfjQn/897KqFuJOg3vDQ6voYsFwsdgK4tSr6HRNVq4J14yO48+B+pRiiFZfKO0tHbuVImGvmGqiMbkMSZtCpQiLEopQrp1qPeWK5ZIrRYkogxXw13hzzNQRKhEtsNWU4fTEsk3BE3dSStmmBaillKQGVOKqhU0NCJRX/Y/NtRlBlyw02FXMETCzfYGYkYY5uZAJ0ORdUVsmtN22VRGUJs/OUZVaaZaWwVJciCpIeIguq/NjeKetNhZZhSfC+ivujxIzqIFI1FmDQeE7llWpTZTZfnNGKR4WYg4xZbpwnKqTYcMqAfVpZaZGVvLpUgJRYP9nQKk2Xyv6cUilGe2zMplWuo6QzCohi1iCBKUGOKL9EOGZKpho1glSTUQEo2kq21K5YmAlYmL/FchGNLbzM+6N8TSSHK0rHFUUeZ1BUaSwNkRUTnaaoNTlT0ohsZBC2xfIN7r84UQI3ti+LJZQZgVw/Y2UZSmVJpVIUdVB1qghiKv4I1rhPTZXJZ1RhGJG03koOmkPFlaUaeqkOC0PohiOKJilIoVU09UUdSeUhcYQcB8xo42TqtrS3ppTYcc7MCjQ9lrxCFqtwPmF6iCIfLnMXi34Qbqtky7FIwhZ1Io9DyYDkPiO4M9kezMw4Hqu043LfZtJqS9VuFmsCcjMCpZQzRxAKuJ6CejYly9wynbmWsbKGE7gQwvJnCSGQslAbRdOz5L0xP4+fy+95DBF4aUiCCHbVRhKo9usozOC6BNUu2KTBXe3UaBHl/iZod2VfVFwbQUz7MOdPzTXXjFCRUF9zTBhs5ZUziqUsphTOUAZLy7ZlMUuPuX7cmhSppcHisURoRmId8Zigoo5gipbTUGz35PjMgONniXiWYFhj+zPtwKochWcGFb56rCMl2GQopCh6CdcCKUmhojfKNNRNBXs1h6o/QtEIlaor9nJp2mV5CfM+E1pkNXgVZs/x6tBFBAssKo5SHXYewg91aKYFW2N2YAY9o0XfQByqtm+q8QwthmZWENGmK2pG2s0teSBCGO3GXSybFkzCQCOSrEGxleuJ5B4yY9CSttsc8ICso0O3VHMxYawAclp2eXQR4jPv1NGQheIpFys527rTqgt0YmXLt5yV8yxWwF8Yuwl6vWlHp5pVHp5I/h5Pf6qQQwRwBTxTmZxGVHyqDD+qsxmVoLHGPMmlDOf//OFHL8c/X9bG2njW4+tV5D0dnOMoIB8B0rPJ7rtUrl7Zqtv7dwIrwr3i62qjnCtHQFa8rlDQlTPnypl5BYQrFILlso3enL4yUOvN5ivUfsz9K28DR28OX/H55XXn4DqUb+J4s9eb0Vdu6V1tueXRu46981Vel3IWYvmznm75vaPXarw21sba+MYaaxl9L/z44P981T+Cjc8U0L7QWXzFuj7T4+SyQb7/9Ks/h7MXZ9Bw+1EdqONNr7gZs0tLqHoe4jBBJZnFgrkBseHgO970enzm7z8pN3ftKETLT5AH5/CyW27FEw/cAZ8AZ3AChw7vR8PzcWXfEG56x7/B9pF/CPkOzAeYOfEoZk8fRP/QONpGDVqY4WV7J/CxP7kNen8N6DRx8NRpnD02I5YkZ9DEus1DmI3aaFCdQjjR1jFcczDbbaHdiuGyxDHL0TFTVPod3DC6AY5h4POHj2DvulGcubgoMGKgz8PSYohm2MX2Letx9OgU6i4zr3TMzrUwsX0Qr77iBnzq4btR0R1UNBOOa6CTZZBbmUAXAMcb5ht2XIXlhbNo8mY0yeWGbq7ZwVAfAUQOp+LCNXPMNrsY3j4A7aKPec3H96/fhz889CT6rBq6fgeLURdje8Ywdd8UtrxmI5KTAaKEgegavuetb8E73vtteP9PfgA3bd+Lv/jyHaKcQieHVuWNMEsgTLQ7PgbcOvJahuvGt+NLTzyO8c3DGDXqeOL4adTHPKy7dh2qxxMcak+LUo7No6ONBl67dRf+zx1fxZc/+VV8x/veBmq0Nm3fBVfzce/hwwgWI7x8524cX55CMw6hd3NUax7e9k2vw537H0In6qC5FEppiVMz0OfZ8LMcPqGBpiNoR6iP7xaokoW8mVTlEspqp9RsUtggWXuM7ZPqUwE7Om9mmZ9m0GLL17OtUVlcxbJKdBSvQDwqrKTlkcH/JnKqqQSs8b5XtfHS8kk3nmSTiSCMdkze92uIxKpK8EfkYor1jzogqqFEpccbcyr9crbBqrw9Los5bLSTm1TwUEFmEKCpTDVViKFUTFTXiKpIij2Y5UXQZYgdMA41uTm2a4R6ylKcCehgTqKGMKeNnO+hLQ+SdUalI7kJb+KlmZh5gnEq683MQmZ9MSdPBGLMrCOCJChwqbCjtZkAjyBTFUMQPojaMNXkM2lTdxxHgJlsP0FRBrgmc9BoWeVrOA+0CysFIX/PeUmY9UelliiduO2EKepnYtelootQg826BHtcT86jQbhCEMn2Y6o1VausKINMDZYsJ4Km01ZrIQlb6HYDNPr6ZPtEaUbTsrTAqpZmquFYEiKfR0ipUanE9mFacFeahdk4imhFiSgromzGdB1mhDsx0oiKKoI0zqsvsE7TKkjCgG9Hxiw55imKMJSwS20vAWK2ApCZdUdbc7ViI/TlYJFsOja3EsRRpcZsOVotlU1Xg5ZHsDmnzJmj2ow5dqJIY6ECMyEJVvhawHKoulRlMsSwUm7DMoRcwWpmGiaE4JKxRyLJ7VRwmeph166h2+0CrguT51EtRdg14WiJZE4yE05c7AKnDcnCjDpUvhG4OgIlWRrDjMYkUko4AfW6AdtxBNzy/GS2K6MkCXMtO5UmXdrmLUvlIDJ7j0o95iuGVEmv5DFqfgyKOk2xqgNmRYcRZghoKQ5aYrdOjBgObMR8eMBzNWIZhAUnTRAIYGQphIVEbOOxHI+ynwhGBSuv5A3aFsyQxTEKPPsErVQVUyZKVa/riBI5022lNLSoIq7BNrpSjkPIGCU03XPOCZQDWNWqtMhnvi4Nt4RsfMgglSJSgMNlqDIOXoc0K0bU9aHpjqhAQz8TVa+oU1kCwnbolSIaAmNeE9jqy3IdeVhAezgvsLz+EJ5z+1kcIw85+EDMkgIQPnyy+h2gGyOzTFhsyWXRCeXKPBYlD5HgmOg8Q8IiFl4PWXgUsvhD2dVzls5w/oJQ5pMWdRgq85AwmefmH374dy7HP1/Wxtp41qNXeVfk13GUSzJ6R7k0o/y1vLyvBfpWA4y9oK+weRKOrQbxetVoxSgXWxSgrgzPitf2llmwYZjbsFrZxKXKP8o/7/2cS41y+UcBxwoIVqgzip//6KZbxTZLyEfIWAZvq40yoOz9vnfOyutTnqcyACwXh6wGCnvnv/iccuFHATnXxtpYG9+44+tV6vUqAHuh02oA6/keLzT4+qc4vvRCF28cPnoImwcaWGpOIvCX8OX778P9Dz+KY0cO4cLZ49BqAzh5/DGkQRN//Ye/Cm90G971tnfiwccew/V79sDp24jHHj+Kc8tdHJs8gHsevhNbNjZw5MQUnGoFv/5bP4UDJy/+g8/cPaTjnvvuwvimTXj00GM48+RDOPTknXjk9HnsvuFlSAwT9x86hpnmEjbtXge4OUbdGs63FmAumGh3fdRrLjItwLFz02gth9i7ZxQLSRcVZnXpGjaNjOPB6Ul8+dRxuYFphh3ktoZrrtiFixcC+AyWnwsxk3VF1THQ7+HffM+7sXn3MK7avg1TM2fw+quvwpZ127Cuvw9n5hZQ1W3YbBismNgyMoB//pZvg9/y8ba3vgb9DQeL7Ta2bdkGb9zD9FwT7XYHF2dmkVop/G4AYyGCPdJAVtFxIlpCn+3g3NIcmoEvN9uNfhu7v3U7kvMBOj6bKzN83zveiNlOhPf9wL/HaNSHhWgRX/jEF/HeV92KiU2D0DrMicvRjUJRc3VTH65m4aGpY6j2e4iXfDTsdTD7DCDKcfFwC/OLPjak/TCXALMFuG0Df3jfvdixYRzv+J43IU9duLVBWFkTDx8+gfXuAN7+6tdif/MkNEfH+g1DMBv0g2r4yy9/DqenZqT1OM5T9HsVTPRPICDgawVI27Eo+giFCEt480pxFMGSADwqnXhjSLul+B6p8KMERTUj88WEAKp1ksoylkowp413wFRFqZZQ5nYxiJFsjLZqSlFoJ1O0RWXz6SzcIM0hBZLW2hWrq/RP0BbL5l6KVHhXSwhAPxwLBdgEKiRMIAzNkmIf1lfWK9aEF0rDARVSeYY4USox3rQT2IA34CYQUjWoxTBov+WNcqjKGKIwF+upbelix6ayT9qHCfLYlJtloozjprF4JaY9lMuOdVhsnRUloZovKfdgDpc0bDAIkNSU1laCHYKAWMo2KH+kMpBzqHAbrcR8qQbHo+1WAQTCMUIxAkuqiJhrl+sp4lDlJ7KBmu9luD+XRaLI5dKmzM9V1lvahKn0IpRdsaWKu5VzpCzAhJIZVWhUGclyqTozn7K7srGYUJJElfs4Ym5kyqKBBJV6nxS6CKjUCDZYcqJUiixeoEVYMvekTZnKvlCuovJ7kl6CPzCnkI3UZBcEWUoFRmJBgEqVou5xv2swpUmWjcp0aQfQacuUJuZAABaPLx6VnAvuO14DeD4z/4zvYwNqELAuwhZIRCs07Z/SKBxGFPkJUOUxZltUwrrI7LrAV8uuybpwn3GKaeFlQYptWyqzLyHIY8Mt4/qaAmGYLcgynTDURLHGtmNRsHJueNy5UvUiP4uSQKzpLH9ICfa6VNVFCJg9SNhGeEjbr5xXMRyCINrCqY7MQ2mOZcsygSshcBqGyMwcnm2hUWV+XwNurU/KqrMwoHEeiU8lG+tpmA3JYz9VLblsgKX8lFbUzEfAdXJNOFRusjCH2ZEsFKZRnMozwwOsGHkodTGiaCRA0yq0cZNV0W5L5R+3XdmpxZZPRRyLUqDBo9BWp+qQHu5I4gMym2pYW0qiWJxi8xxo9CmglnMfBLL/CLKNrKVge2KzZBc6QbHO0qBMClq0IBULMj/fEtUwgbmOLGAhhoaYDweo8paM0QAxzwsWb/D6EWQwTEYKMPtTwfs0DmF5juSWQg9FrerwCQLXW4uRstnYIiC05Npr0E5MIM8mXcYiGBqqaRcGldehKdeAzOf7+PBBHRNS7U0FKC+sLNFgozPnW+IJFHRMCHwZx5AncLmtLHCq6CojNegKHGX2qiFEfW2sjRd/lIseiry9YpQbcXt/vtrXr3cUn1cGikVuXwH3aIXlzwq1XnkUNtXi5wWcKkBWUShRfC0XexDoFdCQvyNMKwBfsYxyI25vkUb5s8qjAHDl4onVgFwZ8JVtWIU9t/iMIjevUBGWc/XKX8uj2N5e8Fb+7GL9yhCwt0CkAH78w6y/wo5ctiWvtm0EfLTq8ndF6cfaWBtrY208HezphWsvRh7ciwn4nkvG3wdL7+X3L2ZhxuUalw3y0c41PLAZCVVRXQ1nTjyGE6fOYDnQMHlmEn/66bvw5JGHcPjuT+Gql9+CdP44aCr6hf/0S3j80MMIZo4B/jTe/s3vwOaNe1B1Qpydz3HN1btx8MgF/PbP/Bd85u6/f+rzbn/wcfA5/zd/y9uxOHcBMy0HUXsGqT+P+akDWJyfRnPyLAw/xzUTVyEKuhjf1I+wlsIMdfhZC416De2ZCPNTHYEKcZpi/+NT8DwXG3ePwDJMnJ6/AFc38MarX4kPfv93Y3K+iYqu4ZHTp8T2ZNRM1Lc0EE638YZ918F167j9rodw2+99AvceeBL9mgvTdHHsxGEc70xjfF1DVA8y+ZaGDUPrcc/BR5FFy/j9T30OszNdbOwfwVxzAcFCBK+hmgjZGjl1YknsbWdnlnHiiUn4J318Zv8xLHW7qHq2yp4zdIRPJvjwT/4+DMtCOwlEWfK3tz+C408ewvjEIOIq8PiTk3j/j3wP/uhzf4/TJ2eQNgzE7QTf9ca3oX/AwxVjW1Edrok1rmIY+Mm3vx33Hb4bI3YDHT/G/MlpnDo3g0OnpxATOlgGvJotCoy5mQ767GFES2289ZUvwwNHj2PbugG56Wt35nHT6HVyYz4zs4yK5SCzmeWU46rdG1FzLWxdtx3dKMLps5NozQVwK7R90VpJlSNhC2/KCVxo6xT/qlhhVRUtmzRVIyTtr6JwYUi82AzFUCpqLCqIqPARpRuz3TRlBxS1F0EOpUx6UcaRixpVShB4w8t8K8mWoyqPDZnKTicNudIPoQCUNPySKzEEX0+lSEPWl4qdTBMQR5uptNtSJeYaAtyoBoo1A7GWouKoxkyqqajGIQ2ifRA5LZuu3DiHhC3M0KMNlJlghBJshqWSUCFOUT9RJcebeQIfthrrBICiPDSheVQD5QjFxkzFI7mYgqAEVbrJ4g6uXyYKRWIMNonS8kqQIu245AErdlqBVoSnSSRQjdvH7U9yZrqpEgGCAlpOCXZSohTeK9DuHK6UjbAZNOVNPueX9sJUmmhBy6o0wLJcQMIOBcDwvbSYSmECSx8clp4YiCPuF24LbbtKpUi7qjTAmhBlm2S/VSoCEAjFbJsZeSr3MKRtX8BxIvlwLN/g303dFquzQ4hGNEogFmsg9+M6CS5NqXaKpPCH2+xSmUaikVUEkKUk1sRTvL9ybIGDtAubVHxJzp0Ya+VY4v4jdKLiToCSeNopVXNURh2PSmYEsgXXdsTKKuRZYvoSsUhTaUpVnORDBi2YWiBHCI8fx1EFNbQW61YFhhXC0EIxzVZcNh1TFarOAyltidjyyh8p8KoxhzKKYPF3Yi+GKJJZNsIZYlkFCyC4b3i6Rmx/pc2XtRy2Iw89XMcTCzNhZ5clLJqHCq8tlRr0ShWu1RDbM685vBhQ7cdt17wK8phqTXJ9HZFekXOL2XRUuGoa7bRqvxBqUU3IY5PGcX4v7cIE20TmUkATI6aV2Ewlr475jLQ5U62rcf9TkWnq8Kig9SPoIdWHhhynoU7lYYxEpzp3JUpgBbQSrvrdGDnPnTiGT5s4KRzYWG3CNdR1RRqbuR66DUvvAiZLPwjpqfbjHrGl+ZdXd84tH1gkGVu/SZZz6F4Gk2o8WwFmXTTVlmQm0mLtMm+RYC2nS5jlVRW5JsaZJ5BVWqR5TXMMaK4JK6OaNYTpMOeT1zO2FfPYC0XZqHnMLEzQJhxlZmq4BNshvGb2Ks8dS4F8luFwroMUpsvma167eVxTwbnSQC4XAg257Yl6kTsuauVIRUHIvxPuswyHysK1sTZeOqMAY0WrLcfP/fd75WeXsvUSihWvXS2P71INvMXyynl6ZdhHdV0ZqhXQqQB95dbc4vVl6FW8nstgQ2xvTh9fU6xvUW5BmNYL3oqW3fIyi+UWo6z4Ky+/GGXQV/xZrZGWEI83ZuWSimJ5BfQs3sPX8E9ZUVjkBJZBaKG+K0M93jivdvNcVi0Wx0J5my6Va1i8p/haZPEVc1Bu610ba+PFgkm9QOmlmA/3XIsTno/ihedzud8o49kCtV4Yx+ty+e/vxyef8bLK1/RLXeOfzfo93d//n4F8NnR85dxXMWr144mpQ6LIak7NYOr4EWzasAHX7t4MN7fQaXbw07/wQRw9eRL3P3A3Bk0D33PrjRgZ2YYcfTg3O4eZpTns3nQldrtLWJy9iNe/+kb8h1/9RSycOor/8JM/jJmFKWxf34fpbgf/6//7BczMTeNV+7bhfDPBiaU5fP7u+/H4w4/i9NnzqLsuDp4+gOVWhB2D69GZiXnniTTPMHd4Gcawg/pEFbV+T1RW4+sG8Mrrd+NEewajfRU0F7tI9Rz9tQp+9y//BrbGG44M2XyIyngF/lyIGls1TQOHT50A8i6OzU7jy3/7B/iZH/wBfOXMEXzhkXvheDoalQqWmh2cm00RxCFcYwyzs8sYH6ljcnEB7ckuFufaODs1j3DRh10xMVIZkPn1nCoqAiFYuOgI7EOooWq4ki83OjoCZ9jF5sEh7Nk+gR/6Nz+AK0bWY3vfZgRJgPe+8134wX/+3fDcFHPTF6UR86Mf+mN4fSp8/rN/9Bn88i/+HPaffAKeW8UT06egLyTwEgfRcopZK8CV11wBa9cGjAw78AwLf/Lrv4b/8L3vhmYb8EwTV2zdgdfuux7tOEQSdqEPAp+86yt4+bVXYHE2w0LYxiPnj2Gh2cTS2TbiVgKrYaMy5GF8qA8z3WUszLcxu3xBLINOn6NadC0NQwMNDHs1gcleXx90ixZYtpimyNlIGVAtRxWeUlUJaspzKeKQb6lkE36lbIUqDE8pu8RyK5ZECaMTiEJgQxDHm04yFYdZYIRdDIm3LKWQYy4aFTC0XtKqxwWQ0lFTY1OJlkvJAfPRCKokJ44kTFpGaUOVJg/J7ZP1Sboqr45lFczsg4HA7yKlSk5AbyI2RMnFI9gAQ/NZxMISBZXXZ9L66zrI0wgZG5SpUgtTyb7jVNAHq4WhgC+2R7MoRLMsJCy1YG4bFYWEdbQzWpa0t0rJhjSZsmRDWQEFliKCaRI2UnhIdRntzcJMYdmGWFAJ7JjPx9cnORWGtBJTHce2UiqWeLOeryyTMEuBVF3KTqhoWylrYE6byWxAKjIzAWCWZondlCtLOzDfB92V1l56/gwq+7hM+asOi4CQmXDESjmTzxJYVkWODarjWA7iB4FYSeMoQZQbqNi5bEvIdTbV73VOEKGq9Jyw8ZNZfNIfC9szpU2X8FOs4hqzPXlc0cbJuVDNvi4igbyEZjaBJy3WmcrCk8Zb2XbOJctFuL+pXtXEci7WYAlMZKajBiuNxAIsDcg+FVuqcdWjBdhyBFym8GDmgWQ1UslJ4CSttAJHWTjBEydBymOLik+xWFqieGX5RByzLMQTyytzCAkkqfylRRVpAF13oVvcH2xqrSLXWTaiIeRxJTmLOQzLhaFRksbzhq3WPE80OCzwSViMYsp+CbpUZFJ5WJOiD9MxEcUB+ip1VFwTA0ODcD0PA0MDcCoNePUBuCyd4FGW0A7N45plJlQhEjiyxRbIQ00+jyCUEMsxLNhJpM5LPRKIp7Ekg6SM6kTadjMbbJbQKxasish7JbtOc9RDBirZmEFJcEh4JrEB3H+GIceRQPVKXeaa6l+qAGnXTdod2PBh12uyTMl21FlKwvw/QmkeA2xgyVbUkDyWGFEQyLlMvWTKaxG3leCPx4vRQRZRkU24zpIYbrR6oMGHP92YcDCVohs+EMjabBEmkCP4jZAz7y5oQnMJd6ls5JwYyKIU1KXK8dghXOVGAIFDBaIn/x/ym/wx55zHHKFfBbnPghzCZg0pYaFmyLXIiAOkfBihs+CGjcG0V1NhzeMsgk11sk44n0KnRZh2ZT5gYWFHHiPxO3K9pLh4bayNF3sU5RVlC2dZyVCox/g7ttSuZu8t4F9R5sA/ZdBEUNg7CqjXC8s4eHNSwKlCaVYGXyzu4DrS6lUoymi75etWu7F59ZtvlNf0grHe9ZF5+LcfeOqzyxCurMorD76Gy6QVlZ/dq+orW1SL7/m1+J7rzQbaApAVN3ll2MZ1KmcBchRFH2W1YbE+RVNx2ZLM5RbQjTeOvTdrZcUiX0eouNq+6Z2HAn4Wx1HxM441Bd/aeLFGL8ArbKHFz1+KgO9yqMieLxXa86lue6nui2c6nouleDUYV/77R/GOr1m28WzHM1nO063b5fqMFwTy1dwakskQu9dvQG3IxcxkU+x87W4Xp5dyzE+dxJV7r8Whs7PYNDCO8xdO4kv3fRb/4t++D7/2Z/fj9W96HfylEzh97DHs23EDJhg3lFZxYb6JR/YfwMVOCyemnsRc0sXoYA3777odf/Gx30fYjjDcH+PxO27H2QunMHt2Ea/btwM+tVymDrPiAJ6J9YOj2H/yOPRBlT3nNlwMrHexNLcE1zCwpb+OkUYFAXzce/woZo4s4/TZedQNDzeObMT06cPYQIXbxmE4NU9uvhaPN7Fj3XYsL4XI+ix0nBwNbwjbXrMB/+vzn0RnaVluVlzbQco8odzA6yYmsGXUY7Eu9PYcKhUT4/1V1QJLAGSJDguT5+cQLSbYs2cHBvtchGEoeXR5xEbEjihOKhMV+HmIvoEGlpfmcOuWPZhpL6G/UkHit7D/yDHE2RJ2b9qG//1Ht+H++++DkXuY7XbxsquuwPt/+HvxE+98B/bu3IAf+6nvwamTx3F48oxYkG/cuRnLnQCznUU0hqr4yG1/jyceOQxjchKRn+PNr30tbvvEx3H36UP49F/8PV6+dyc2jo/gR97zVoz01+ANDKCmVREFbVQyF5t3rkMU0GpXwa6dNQxW6tg0NoCF80vSLLpz0xaMGleK+iqJUgz0V/Drv/8h9I/WMBgaiJZieJmLwUYFc6cflDIDsjqBbYR1BAmSAcfmXTbEkhEpiy3JFRlVTmilqjOQ0zJKe+CKEo+tlCYhXkqlyooajQo7FkbQPknlF7O1mM3GMhBpEiWeY1lCKiBGZawRPmZIqFCRAhDm4Mmtr8qso2KFRw9FWBSlSBMDFXh8ny2WYtsj4GG2HG2sajtoQdWcHA63KWHDpiY3wSysyBjiT5Ua+SFv4yOiQA9Wkig1EQVdjingj1RSsx0YNltii5KLGKbjiNKG68nMqyzOEUVsIxVXnVgQ2bhJ9Zs09ApAMCVDjHPP/DbTNAWwce6Y0xUlhIBsYI7h2oRe3BgbjuXSgCk2VM4t26JVICDVQRosx1bWZ7FFU7XpSH6bYFjLhEMrbkqAEyNnxpiWwJHSAyowQ8RhJGUGMYk4IW7K3wFRyNbXLuIkFss1IUkadlT+GDKE3bZAD8WBWbiTipKIUM80K5KnyEIIwgiuv60zbq4utmviO+at5Ww31nPZbo1qsDiFqXkKmkhpBpVmOVpsY5bmZ6DLY4L7L0sl447zyP0iNmuWVtBimtgCfqkio3yO6lSIndKUZlOx7+a+ABYe5pIxKaUfoRzHLKlJMkJxgmVamiV5UZqXeTBSyUzrqUF7exLCymNUbDJTXdpqCbVMllFQ/SjHUSSKKhZpmNUBBZMIYuglT6ha5XEQw/Y8UVDy2MqiEDl/T1BMgWHG9ulc2ryTOIDfXUTUTVB12C5eEaBINRqVddKkauoyV92gCT/qYnlpEWmwJHlyFSrJHBepmcGq2XC5z+AjTkKBvWyyNdw6ENEyzOOHqkMWlLgCeKVYQk56wGO2omdCZxZchbbZGN1AKU0t3RbVMm2u3MIKgbLjwM81BKkN3U+ljdmhDZcPGZJIrt255QkMj2lXZUkFwatRkXNZylOojGXbLuefJTMEdzzmeH4YtOEqO6tjuyvxAzqYAoBYtQFLb01mIa866mEH95PLlltm6/E8SGDmbNpVKsg8Zt5sRfIfmW0IWmb5sISgNjER51Sw8jlFIuUhvEzZbLZ1bSnM4H50eGyx4Zyw1kmRmMT+LJUJAT9AQNBpewDnkaCOrdp2DZlmwaNyWApw2GJsyEMRPggRc7pZQcgoAAI95i0aGtxKDpPnrVUVZTMfOjArc22sjRd79No4C5hWKMc4CmBUKN56QV+hwCN8K0Zhg+VyLlWGUQzCoALm8fVFOUUB8AiPyoUV/Hz+vfwzfgZfR/hVQKiy7bb4vvg9t6V4XQG0CCYJBMtzU8xPGcT1gjwus4BuvAkqtqUYBdTja/j1tvg98j2XzfWmQq4Aitym3gy8wq5bLgGhtbh8A1V+T/H3wk5LlWMxV2X7b2HDLW9vsY/L+6wXbpYhaXluyz/ja4pm3eL35f21NtbGiwn7nslr18bXP55ufp+P8VKwpL4QluJ7S5D1cn3e17ucZ6PmfK7retkg30LcRp/l4tMPPoD3vPpNotzhPdPs1AycrI3KwAacSTbilW96Ky5GCY4cOY3m/DKi0MeTh+/A9Pl57BwZgpN2JCvIceoYHnAxlPWhr38YN23cjb/88CcxOtCPn/ylX8YDR6dw+PgZbNq3EwPGVuy9di9euXcX1tWG8YUHD6KbLaEZBEjyrtwoRXmEap8rwIM3i3mcobuUINITzF9s4XS3hc6FAF02IS7QfpbCcJg7leKuE2fkxn+or4ZDk3O4sLiA9cNj8DwTJnObGFe+GKC5sIyXXXMF+uaB+cUuFpsBzDhGo1aFGZno+hkOdDKMMvSfDatOhtPT5/B3dz8qyiwBOQIJdGzatl7UNFtGbMwtdZHUlbXMqK3Y4AgVF9r4jV/4/4nFq+6M4PYjT+JlV16Pzx55CFPLC3jZDfvg9DVwfHoSe3eN4e/veAh3HnwUY0PDePzwSSx1F9HpxPhX7/hm/Nav/Qn+6C8/iapt44o9G3HfkVMY6h/E9nWjoDNuw7oR1KsOtmy6GhZc3HDVPriOhcHqOrzunW/App1bcc8TR/ED/+2/YzEMsLB8Ees3DuKK7VsxMboB12zfgbe/5rXY2j+MXeM78f3v+GbMXGih3u9g+tQM7jn6BA6ffwDj1UEMDlTwM9/33fjv3/8f8ImP/g1irQ67oWNRa2KgUccudz3kDlcnaqHtWeUEiiKOKhaSE7Fd8kZbQSyBfokvahqx40rmGltC2foqRkSlJqGSjhCNO3zFKir8SUoYiMCoVCFQSQVk8cZbstAoBwrZmKoj8qluozpN2WO5dIKdmEUHlimAkMUfBCt6rgo/+EM2c8pZw0ZaXan9qJFldhkVd3GkYBK3m5xFWwGK4mEWyypLElgSwC1JaBJdAU5CCGgIFFVgKn7SWEASWzUF0ND6LDfOgWp05fs0ZpkRUlMZpGyOBm/iOSGWo7Y/pSKQH09QRmsm60AI6GMpcaHSjAUVVMWxEZnnFfPyqNIzbKr4QmkcJbjLIs4JXxNKEy/tk1x32qyZOyj5dMzei1VLLq2nCgwyXDAWhZKonjSq4VRGIhuRmeqm8Xy2dMlm0y1bAButu7SF0jYvFl/Lhm570mgcJ4mo80Jp98zQ6SxJGYi4uE1d1GcEM2G3KWCZbbjcpqDbFWWS5tYVsGOGYdyVxlrmpJHRxlkOx3VkPkzLhVMxRBwVEpiwLEQjNDUl44yKR5uSNz2UogMlN2VmIdPXaDcnpGP7aCqWdD0LkbLlN/ElQ40ZbAnbYW2V3SY5lWIPpjKPcJkATqIElR1dMgSVmrMdJLC5/4xQ5pBQTtcsdV5xP8WJwKIoIChNEHP7WNxB2yeVVjwseU2LVYMwzyVpgmWTMG2/jMgjLBcgJp5isXNqekWOBWZL0nbK415jgYOpod4/BtcmMHNVuzWq8jl0eNPCaVJ5GGcIshhh6qosSLYl6zrC7iLitI2Fdgt+11c5dXkogl4ex9AihvsJqBKxnMG8OX61yMt42iElTNX4iCVCFKboplRgGnI9dywqTF2xHfP4o7rbzy3JCsxaHSnN4flupJFk3ck8Zgkin1cIAwEfHjAzkWenbclreF4R/PN45YMItplntqNKanls8ShIQ4ka8GjIjlh0QmVpLjmAoeQ6BqKMNIwABm31nH82qyc22DwSRDxHPeSmjTxiAU4Ci/sjCqFbGZIWlZoxwiRFTNWo4aHK9MLQEEDI5mBCZP6/zslSyVJk3IBBwBp3JUKBat6Y25J0YOgRQlqWaUemWo/XKT6EoQWfxyWjE9g4LEA/U9mSsSY5kTwvzUpFMj153q6NtfFijwJIlZtie28qCJUKuFTAJIK21WBfMYplFaqy8u96lX2EXAXMI1wqq8Iutc7FV4K5S+XelZfB9SZYK0OtYhTFG1zX3mUUyrVey2lZ6VdW5vWCrOLvBQTk3wm/VrPFMvOubJktF2CUizO4vmIt/rcfeOp3xbKK71fLDeyFk2WlYqHGKy+rGAX44+cRLpbVkFznYj0LSFi8v/i+yPLr/fy1sTaeb9jErwW8KwMofl/+Xe9r18Zzn/uvZzzbeX8xMvterJy9FxuAXg4159cLCi9bu+6bvvVNcAYrGK7VMd9cQmu6KwRx696tmJucxvt++F9gZnEZVdfB4Ue+gokdN+Di1L2YnutIHlaiD+AH3v5WPHLPV7Fj1w5YTgVpGuEjn/kcbt59BTb1D+KP7vkCjNBC3XQQ2cBQowajVsX6ioYDT5zD8FANMxfnMLJpAJ1lDVfumMD0hSUshLNY9AP0OQ6aUQy94SJdDuAvR8j7JN4MLmUrVNg0fZi0bfncqhz6uIntlUGcW2jhO25+GT76uS+J8ovUiC2Ag0ODOH9+Fm+85eW4/c57JdfKggG3z8KbrnsjfvBf/Bh+5r/+c2xrjOHvHngM62r9GKoO4okLx3HLnutwzZ4duO/JE6joQGtxGpPNJqoUhxhDODl/VimBbB1dP5FQfAnyJ38icNE1jAzXMNduQ/dzVAY81FDHu978Tfj0/XfgzNk5DHsV1LwGun4EH6FYsxb8RQw3BhAbKbqtQGBdh1Y9Bu+L4gjYOb4Rmzesx4NHj2NxaR5XrNuKSf882vNd3Lj7CvQ5Lvbt2oG3ffeP4Lt/+J2YS9voN6rS2hoshkiYWzVWQevUIuyaC8syccOOK6DZOabOzOG6Pbtx444J/Oyf/SHedsWr8DcP3Ak90XHFht04uXwKNdNBf30Ak+cvIq8yAyuTUP2BYVfmwhndhvZiBxplM1IekElBhsrUo5JN5TcR1FARxaw2Ohx5Y0kVGsEewRlvFqXEg6+hUop5UXkIk8CBcEpcsKpZk2dKrtnQDbbkKhswgRgFY76vwbapDDKgUelimmLzFAtqN0PK44VKQ5EAch0NZXckXEkT2FTKSaxgcePK4gu2hhIScRv4S5XtpdGySeuqNKbS/kf9ixBKBc8otqLaLM3FDpiHviinRB0kcr9Uig3YusosPbF05pFYPA3CIDowBdlJ5YNkndnuSiEEmRLnhschjxlRbynIFCe6WJkNgaZUvNEWnwi4yfnV8WRbCGU4/4SAma4UZTKX4mpNJXuL6j5aUgUcZtJPrOyJaSKNnSkbfaWMI4ejE+5RgWnCYGkKs9MIAyUHzRKoy6VThUc1pti8CV54TEkGIdt8edYmKi+M+XdsNdZstMMAjmWLXTTLHXguIXGimpFXmnZt21XNvyxgWWlTpdqTJReEurRxct64g/UVuJMQdlINR4hmmQpMSxGDsjHS5ksAQqtsnrNZYuWxiVT0pqKMojWWHQlMteM60YqrGzw+mZvHFmLaYW2kkkkYKGhKiGYUVnEd1YqOKDAko41ZfTGLNQjQDVvOGypPDbbUUrBqpYh4XdR02HqGXGzJSr2n0VpK4G3pUnhCwMhMSGjMWuOcMVtQtZYTYObMamNmI/PdMio3WcJANbMt7bhUkDq2Ko/IwxiOuwJz2f8sikil9HIrzDZkZmUG348Qhx1osYZQo/KWFJFAM4Km0XpLiMwcN9p2a7DYWOt34FhU4VIppiGQJls2pKtnBoTVXCcJqeS1wNNofBbVZpgSfrJdmvmPFuKgDZMXCebthUqhxhIMqmB1x0DMc1izRKFLkGcxk5HFLq6HnDZw5i+ySZlFHmn8lNXflBIcBffk/wHSA6TOfSmFkThKHs+W5F7GJnNneR5n4KFD6E2lJ+3aASu7qaiFVN2i4lQQdTtIXAs1g8d7R+z/NJ/zeshMRFr5NdOGqyVodiNUajziqJClkjqU4zfLqeyLxSpuc1sJhOMYCYMQmZ1ne0jbbWSmp5SDgj6pclbXbypLeTHU213kDSoueQwCjgt0fZbE2NCSELFhwYwSpDxAjAy3/e/fuxz/fFkba+NZD1pwy1CoUPIVFqTVbhTK8IyQrddKWrymgDr8vnhd8d7V3leo/srvKw+u29OpwcoNrnzdag22xbby8wnLehtj+Ttm+JXbbHu3pQBehSKud3t7s/ZWG+WW3zIA6230XW15T9esW24CLucE/oO8vZV15897G3B7l38pONc7r72f09tk3Ht8rY218UKO1UAff/ZCK8/+KY3n2rS7Nl4a43I1HJeX84K36/bbLqxWirlzixjpH8YNr9iL3ddtw8LyIq6/6Wrcc+en8flPfwKb6hl27L0KE2M1jK3fh+u270LNquDc6ZP4zOc+gxtf/60YWLcRcx3grmOTgDGEhelJXH/NLmhBjGa4iGjYw41X7oLNG+bIx/7JRcylS5hZWoA3XMWTpy/gqm1bcPDYMTx48ChOzy4K0KHaxDQczD2xhIVTTVRH6xgaHxLlwfLZNpbnOjByDW7dRYgUAe1mmoYm88CCDI8cPIahfhf9QxP4qXe+DbW6h8xOsGdoAlPHJvFTP/hO9Fer+N5vfTMG7BFcv30Iv/k/fg6NbACBb2C4MYil2McjUyfRbcf44sMP4c8/9Xl4boDBoZoE6Ltwcb7dwflgFn3VAbz7Hd8s2V03X7VdbjjZAOoM2LhqYgxDo32IsgyWZuDV110t7ZVbto7iiw98Gc3ZEMPVBjpxjN/70G24cs9ObBvajFgPsX5oRCxizDqrey5aaQiHKjJRw+VYNzKCsNnE3MwclhcWJf/vDM6hljDpXcMNu3fjSwcew0c+97ey7//kw38tirnZ1jKmppcw1+2IMkWb8dHvDUBrOPj2b/kWVM0IO0e34OTMWZxvTuH6m66Ha9r4mzvvwLraECoVQtgZDDt9uGrbMJr5MvbsGEfDduEwhzDXMTPdxLqBEWl4Vbl8BES0SlLnSMUmFW0EHVRdUSVCCBHJTST/o1qHLbqifKNlL2aWGyVhbH8kUKFchyUsVN/xZ6rJV94qllsq/VL5ubTtEljR6kvJD3PYCICoVhLPaiYZWVw32ouFJ4kajtY0QltV9iEFv2xc1TIVF5jFCnCxZ4PFKSwMEbBGhqey1JgFJq2TtI8yj46ZXLQXE76QrdhURREI+gKiqPgTPiRh9WxCNaTEgipCtsEGLB9gmQNXmyBRgIMqKlEwjdZSwlA2eSoFIxVjjPS3bN7wcw4MZGGoCgooOOQ8ELzKUWIgDqhGzZ8qv4jDUCRjnH4CC4JTqhFZ7BFQmiVKSbakUj+oQC3t7LSKSi6h6CoJQmi9JGyJpNgkod2YEICWXKrjRMGosv6kJILzIcSWhwFLH6gy9BGEIdIoQJKE8H1fcglty5P3ESxVvEzgqUkFItP+EgI6RwAN2SkPOloaae+1XE/NNSGWcERdlG5dv4s4DsS6bBBYUJVFcMXsvm5LXntx+hwpvsA4nVZi/iH4rxiwXQOWZQg0yvlAYUUdqLsuPK8qMN0gSKGdPTOQUUWnh3LsurQ0s9mUClU2vxq5siNTGUprN9V2COS8oHyXhRi54Qhc5XYwe5LQ0XAJ51IkXDaPA7FdG0ipvOO5QYVd6iPJ2vLEIKWtO4tgEZ7rMeJQFeOkfJhiGmi32wJBTS2HmQaoOLRcx2j7XYQdH5nBlmkgiIHmchMB4SjNspohDcS8/lFhx3ZY7hOdc8/DxKe9OZLsRgFeLL+xHdiahUqFsXY+XKrOeOxlPI5ymJ4jwFeUuDymqw0BZ4S1ZtWRctiIB2zeVY3JAuxY6qIeECSWLbEMzE60tGBlPxkIMjYh85xSJS0E4bxWwa5CD1jaQUCtIgdokU7ZjswCFtqBeXwanjRCE6pHhMhUSErpDC3E/P+gDSsMEHUCGCxnIQjmqnCmjBxJtCyW3Fj2B5WTVOFp8MM2Ysm6TNCKA4F5KWj51WF1qWZd6cPIYiSODc/mNdOQY4EKUSoCJSrA1pkyKWq9Dk9raAhEnUwYzx5hnvcObJGMmmiA0NxEnFLpyGsWMwUdpPWGasXWaPmGfBbPFWY2MuvS4bXHopIyhnV5nk+ujbVxWUYBdfgPcQIyApsC8PVCpkIVxj+FCu5rtewWdtoCGBV/L/8pAF+5XbZ3EBKV8/7KGXEESWXrbAGdit8xm64AXfyscmFE2apajDKELNapULuVAd9qbb69yray5bdskS7bhov5KZddFK8pr+elxmplH8VyCvjJdS8syWWb7aUAX3n07pOy0rBYXqHILJdwFF/XlHxr48Uq2SiUe70/W+29a+PyjK8X2v1TmvsXqtDi5stQmPJi2YMvK+QLtQRaxcI333or+p0alhdifPtb34jf/aV/hxt2b0FbS3HFzl1A/06sm9gBzXZxy403oj4wLGqsLYND8NwKbv/85/DFux6F35rFtbv2YqwSYmLDMH7if/wG2jEVVMD81FmcmVpGf38/gpaPYc9D1XMwPbmMxVYLG2uDeOLIKdQrFeiNHCP1CrpUuqQ5usttvOod3wyDaoRWgHC+haDTlRuib79xH968ayfesH4rBgeqeP1118CJTbzz2puQOsBjU1OIQx1Ot4XZ6XNYWOzADDOc7s5KFtuff+qr6CDGwweO4ZYbduIX/vyvcNcDjyHNEjxy/CRm5xbRbfnYNT6AXds34wt/+nuwB1w8enAKjz54AM2gg7bhY6Q2imGtDzfv2YPPfPaLYvl87NApmJaFb33ltXjlFTfgTHsRSRYi7EZYmuqiPjyCbZvWY/ZiB1Y2iMzKsdyMsG18Pf71j/8IvvUd344wWsKeLVvQMRK5ec4THa0kFIjXiQLoFaUqGqiOI7IdPHLipCxHsyFZWaePzwkUOnDyBG7euQm/8sv/Dr/3a/8JP/ZT34tkKUOjZsMZtNA/VsdQxYJDdcjeCqKZFj7zhdsxtn4Cn7n9ixjjHXbu4L/81h+jErOgwcT51hwSLUVdczHbWcBXDp5EtxPj8JnziNsxtq/fAq1G6JZjsNYvN53qDtQSK59uqzw3sZhSKUcARCUOFXoCtahko1qPwEGpvWhNpPqPoIY3y6LQpN2MEIo3wnQQQllwqZLiD3jzXIhfqXOjkoyKOarDCJHZdisWUBEtqSIJZfmloseSG/U4Zqst1WkKTJLsUNVCoQ80lhMQXa2o8yTnjjCPK8Nb5RgJ1V+2pW70c/p2ddZbw+DfM7aEKlibmwbSQIPhMHcsQcSfs5CAqivSRIJSR9ZUMrd0OAouZizJYJMtQYAOw3HUunFeklgy4mRVSTiphmOrqblS5GFRocNMPCofmfFlCoim3ZckjIAtovLJ5q29sgnzpJZGUX7LopCYL2VDsFQBy+fQmJhGqpmXn62YGq3thlhNLQJK7k9pX1YqNpJD2kJFlUjImuUwHbZ8pqKq4v4z2Mac64iiUOzPS4uLcBwHnXZX1odKK4s5mWxsDZmfpiMNVGajabEaJUVqWmLFnmehzQrUZa4dFY/cLsIjKUXRM2nwNe0KFmcuCtTlcRNFXeRw4NU9aEaG/sERUamJIZgqSPEyshxFRxz6yMJE9kfqU61IyESbNLPgAlFOZgTXGe2ugQBt2ih5zDJ+j8cv4Uxu6zBpf2bpQc7lEqI6KkuQf7huLFLgcUdkTzUayyFWgBkz0VRjNTPcIlgusxWV9dw0I1QqrigcaZ+lutIxqdCk7dYDDK4/j11fIGat0SfW3WarCcNgHhvbmH3kqSVxDq2FJnzmQfpt5AiQBMwZJDCGlFO0WjPStOzW+2HZLhIeBLTOaxoSnzmKgF2z1AMB3YLJhzgs6uFDotyARYDNdZOMzkTAOlW2psnmXF/OCel/DliuQwW3hSBWpTa8yJA7S0+MlMDY0FPmLVInp9S6VKV6FAOyxVas9yrnk0BSyzQBb1TXpYYHnRb3Tgqb1lY+dAmagM8MVvXggdCbXmJCfLGrEioSMluJZAXy/2NUBrOMiWo6Qu0ojgX8hllFWrUdc8VmG7MMwxRhH0EdrwHII6QJrx1A5HD/d9nvAjONkHQCsA5IrrsE7QS/po6Ql+KQuY6RWIZdqn75RINgU9qjVdkQN1PjnCddsHakyrbeLELAPAhe70JfHrKJGte2EaQrLeWMf9Q0BB3m/vEBioZIs+HLU5O1sTZeGuOeX/zMU5l4ZWtnYdW91Ch+V9hxi6+9qrbe/Lvya3rVXQUsWm0Q4BUNu+V1KNa51zJKsEfwyM8voF1h8y3WrVcxSAhW/l0BwQrIRssqb1h67a7FZxYKt7L9le+lLbn8WcV2l9e3sAH3ArFyEcmlVHzF/iuvF5V65fktg0yuC63DhI9F/mAxh6upBcvHQfG73ibi8s/Lc7Y21sYLOXoVe8/mfWvjuQOktfl85oUWq4G+Dz7Dn70YhSkvxLhskO9d3/5e9HtV+GmAV7zym3DV3i247a8+hV/80Efw4Ts+Bb8T4PDkCXzyEx+BVbXRMC10uz6WgxSjG7fCrFbR1dnKaEtw/NRSgoMPPYzF2RbSLqQ4Y6Jax6bxPvTVHAzX63ji8BHJiWu3lzFs94u6a/5sF8eOT8M3Wzg8ewHrGn0wOwwRT1DvG0OYpnho/+elgCB2E0Rpilruidppw0g/Dp68iE8fPYwt9TruPHoYo24/znQ7cpO7qX8Ir9q1BW+4fjvOzTblxv3KXbtQG/JgOJlSKC0yvyvEn33iy0i7HbhDDh6aOiMJUgMNGxtHxgVGnLlwAf/yx/8HIr+NfXsncMZfxpLvY8gdQJT4CNCBU3Vx464daM6kGKA1uc/A0mIb/+6n34fv7BvFutF+6A0d1129Affsvx8zc7NoNZdwbuEC4nYI005x/OJ5yZP66O/8Lv75t78bNbMOq2lBp1VNiyWDTyyg1FroGvoGKzh44gDmjWXJ8coC5qEZCBcS3Hzr9fj/fuFf476HD8B0NPyvD96Gg5Mn8Vu/dhu8MRub7RE5osIsxbKeYa7ZxfxUC+ODgzh3fgEPHTyFLVu2Y6DPxaOHjuD03GksIUSiZdg4NoCaY+PI8gX4YYINQ30YH2mg3/bgmS6mutPS7Gh5Bu47uB+W7oi9iwpC8qqcQEIgmCnQifZaCJij0o1fqYwiMFIZYGItJNYyM8nOowU2yoiSKORTcInAIhcIRJUOBTosROAn8C9qvkR9RJUc7b+WAa9CFZOyoIpNVEACb9FtyatjKybbNUUcyHXSqIBT5QKEd4D4IVXzKeEbIRWhjqgAFRyjcolZaMzbYwYfVWAEM1Q8EQIQ9NDWJ6CSttcoEnBJ+6QoG6lYItDUmHemSj4ISEPCGmqKqCCjmIbrrSR2qh2XcirmobGZleDH0mGYrmrBjajOow2TqkVaEgk+mH0Zq9IDk5+dIl8BcMyxo0qJah5aHz3uTlFm2spy7FhSSiCwltvM4gZYMAkjTBdJulJsgERC+iO+loUKGVtwmYkWwZIqU6qyCANpVSU84ryqshX+TkChkaHa6JeG2MGRUclKbIxMCBgldCG8pL02WFxAHtIeSeuwjiQMpMyiuTSPKCWcG16xjjLnjyUs4quUHEAqH4OQtm/AiCP0N9hMqiH0u7BYGJH4ouZiKQLVgzJH5ooaktboKFDlMqmN3CRoVpZslrZIHmJKiMjsSR5TBFss8GBjq8qSlAISsXqytZaRllSnkUkRCkfQWGZCmzkD+aT5mMcrMxpNsWsnVMKJYlQ877B53YgJvZixSFEcoaaGjKUImi0tqgRiPtcxZ4Kdq4CWz2IGqla5ga4o/QhKCQldu4pupyPHu8YW5KQLy63CdRkS6MvxZ1p9omgmWKLzdHmR82Kj3U1g8TiqN2C5NWiOA9tz4FZryuYcdxXEZMlIl8cCG4Wp1mVLLWCR6LrMbmTzMEtOTGi8phB2Ew5SIUjrq1ijRT8qyk0i1oTtxKIw5b6gJdgUm6pFpadhoBMoBTaYvZdkCFnCa9mwc+6veMX2bkAPW8h87gPOI88x5mZaSOV8IrCm1daV1uwsdFQjNZt5WVbEzEe22vLxAMtXZMdTHsnjxZTroeHyQUKEjBZklrRQligxj6o1W/B5wusoswgJCCP1O+Z5Zhqon4wJ62xaqy2lwuP1UGNRB0uIbQQG7dZU0uZyrZZnCVQ3a6roJO92YFLdqOeSexgaVRg2G6qpUtXl/1kJ15lFKALnCeYzaH4XDgtjuqE8TLF0Hy4dx2tjbbwE4F4BbwjDCnsqYVGhrvta9tNLqfc4imUXoKdQ8BE+lZV9RfMtf8YMN47idwXQ67XqrpbBt1q+IMFjb8EEt7PcfNsLrfiaYj0KcFgAuu96/0/IujxVjFFYeHty7Ir3liFX+TW8WSvUf8X6l7flqfesZO89HWwtSjZ6S04I8biubNTtvbEsgB7hY/lzORfcP72gr1AzFmrF8vaV5437qyj1KKspn4mNeW2sjec6yk2636jqsMuh0Hqu45kApK93/r9R99ezVbr9/DP82Uu5mOQlAfm2bdkJxgmdPHUGoxs2wanYsG0Pk6fPwV7WcX76ItrdDs7OzeHU4Seh1wYln2zb5s1YP7EBwwM1zE6dxPXX7MaxI0ewZ8925LaGTZt34vzCEpyGh71bx3HNtrfC0w0sL51HnEc4cXwesxfaOHz0nFISCfHJsbQcQG9paM8EmPbacGZynOyewTV7JvCeG16NYLkjChu/G6GTBTD6dPzmp+7G+ayNLEqxf3FWMoEOX7yI9pIvN4g37JzA0cWmFBuM9Fexc3gYZw+exSZ7EH43Q7AUiaXLtjJs37gNNCJdmG2CsUOT3UVsqo2IMmy5HWLH+EZofRlq3gQeP3EGw5oOP0nQbC3iPbe+Gvt27sZIvQ+v2LsPv/UffxRXXXENBr1B3H/sBL7zB34af9yZxamTM+guhTjns8k4Q+TrqFV0eK6DKm92DQNDlSEcnDyGTOvgt//izzDb6eKKK7eiVrEEUrEpl+anwXoD24cnMOwMyk1jIzRxw74dEsLPG/nqqIvHjx7Cj/7q7+K1L78eD5yYwVy+hH63gQN3/AXySMfh5gXJEbO6GtJmhM0DDbFYnp2fE5D1+OEjWG620D+8Ed9yy424ZfdVcuNH8lFzBrHYDjDeP4LBIRcXLjYxeXYW+yZ2oeOmaDfbGB+tY6C+CcN9DUS0gVEEJ7ZRQ9l1CeNohRTYQwASKRuYTdCigJ80xxL0iEeWcE0pa3QzB51xzFqT/ygfyVlkIA0X0p/Kfcdjhgot5oeJ9VNXTZvMQJN9EFIJQ05CqRVzE/lznmgql419uISIGqFVHovqSnl/mTuoi8KPKi1aJ/mNFIvYLIpYUcckhDWhqBdplQtoQ6Yqiq8kraC1kPl7LO7IE8leMz1b7NO8caZSTubCYJYd7aUM/49ELWpLYD4VSNxGTRSBhIw8EahkcmxHFIdURiVcH5H3xQIEWevBz8wkK1C1DzNLkgpX7goOWgINAUlsdeU+oaqnA4tSItUOIo2wUo7CzDmXOJWwQalwaZNmozCLLJjzRfVVECvV5Uri24rCkftJqbYIEVn+wf+Y48YCAWk6liw5qsliJGEOP+yKYi4KfKXqJIw1DbHKx4kFr+KgNr4eKY+LDGgtTGN+uY328hz6hkfhWYYoV02dvyccpk5T2VGliFjX4FI1SaWiocNmXqNpyjFHEOp6BHKEj7SkzmHq3AXEVAzmlrLtEgR2eQyFSALaslfaw21XbLeK6VQk05DFJVQz5mzwJaihSo1qPZ+29UiOYWZ6hmxwJn4W2SPLOSpIE2VJDmNfrgNUoKrcxqrYumX5PK7oceUZwVIPgb5UOCaiHBRFFgEPcxgJdkXN6omSj+CKmX8xAZrDc5BmX0Ms3rSKVuouNCtBxbVhO3WB05ZTE9VgahCsLq0AeELeAI2+usxDzWWun4F6tQKPWW61ChzLgeUStjOXkarWjhRA5HoCn4CNZSwuYaenlGxGVSzoXVGMMnMwg06Y1aWyz5LzmZCZ5Q889ilA030WqkSIAw10APPU0nS2T4diYeW6Oix4IcTyLIHXJoFgSrWahUQzYbiuZEBSBSt2aO7PmI3dygJuilWd82PBTnz+bwkG100eYORynFgEZ2zmZYETzw3PgMWHAlxWQns/7c2s4qHRdSWHk7ZziSQIkAcxbOYi2jzT2UQMWJWGXFsJnzWdmXs5Kib3HeF1CM9MpNiEVwzHZGNziroRIdIJRolBNbmmiRpVlMIpYtOR/0dzXXl+ODmbd6mMpY07lYIaFglRyWoakexzKkUTzxPVKh8AZpaD1HGgMcdvbayNl8joLdEoYNGlAA3BXgH3yqUavaNXGVh8/V7rzwXqrXbDQjBVlG/wa2Hj5R9CSY5/1ffjApSoQivAU7mwo1jfYjv+ATRbWYfiBqicGddrMy2/vviexSEFTCxe2wvlipKKsqKRf4pyjfJ7yp9Vtg0X23Wpxt9i9MK/8u+L73978vOyvcUyy6P4+4aNr3pqLpjT17vvCytx0bZc/Kx4TwEFaeHmdhb7pLBKryn61sYLOQqL7jeimuyloNB6vpR8BZx9poDqGxkMfvA5QrpLAcGvtdyXChy8bMUbv/ORX8f+w0+gs9zBlu3bcM2+q3Dy5FFkCy3cN3UE6wbrOL+4iOu3XQXPqWLjxk2w9BiVgY24eP4crtgxjmPHT+Db3vl+/Lef/zeIB8fRcHIMuC42bd2Ge+6+Eyc65zFW24rdQzXMTTdx9xNHRbFiOw7CgFlgMd7x5tfi07ffia1bJzDtz8Jrm5hrtTA+0IeZvIv6AFWEDipd3lCZWGy14fR7GBpv4OyJWYzXGziazqA/d7BwsYPEjDEw1EBu5qiZBm4Y2oLzc004vNtwgfvOnsJVQ5sQJhna4TJs00PV0PDkhWm4g56oYob7qnJT0+7EWFhuYsPwIMJOgur6BowFtv5WMWg3MLC+H48dO4QTZ2ZRHXDxnte9Fg8ceBzf/dZvxt89ci+W5gJYpo6LpxdERZVX2FKYINAi9OcexjeO4/jpaQQLbUyMj6Cd0NrZwdjgRhw/e1zUUFeN7sKm3WP47L33SzkArV2pw6w9tmXmMGo5NtQn5MaZjbZT83Ni110+2xEwRcXb9dfsRV2z8AP/8hexfl0D737Hu9AeaiPv8CY3w0iljoUsQLAYwBl2EV0IceWe7Th0/CS+6fp9uOfwYcm5itoZUo8wDuivumgHMTyqOjwD3/Lad+Ljf/dxrK+uw3T7IgbMBmb8OVGgUWH1yle9BftPnkEWxmL3zm0DeUcBGsrICFkM2mLp5aQijTft0nmh2mAZKk8lFYEbXaEEf7RxElJQAEbNHZPXqIJinp0o01jwkAXyG0ll01S2nJQ5GJoUHBB2OVS0UXVC+EhrHRWHhFhUwYjlkWBAgUDCH6qxqB6SRDw2/zKXj1ljXDEp0SAksSTDT3LS2P5bqSClJIhtuMxgI37LaZW05ecaAQ0Nn2JrZklDRWAerba2YUvrtJY40C3OFcFjqooQeEPPllDCHpYt6BkSzg0bXtUaChyTdlp+LyUgSiUmd/IkjIlS+hDuiC2T4CGNYLpKoSa6QDZ3EpQSJLJIg87fKIHtkXoxv495Zp4o1lhmQ4smbZ7MmSPrtBwHSddHzBbTalXUXdK+a5AR5LAJ1DhfnDtaAS2VsUaATwmQzgIQLQc5DLfK90NUKp5YeqmcM7nvzAyW5SAIfXRbTQUK9RyO1xCLv2ebsL2KUjIKVGavAoGSaoolZI/CTOaYdl6yTAIyWsXDKEAWBhJXIG5GHquahlZrAfW+AYFCjs0GVNozqehiKQXLFZTSkuDSYjsEj202RFO5p9nIaBWVllyqIrlovpYAmcozR+aT6+A6nqjQOEdiu+YxTaqkpQJbWKzCTDjmdvIaIQUiPKLkZxlQcZC2WwKLTJEdMt8vlUxCbmgSsQSH5wVhN6VyzP2jEpNZdITZGWwvRxjx/CLcjJDEtM4zq4/7hKVALcRcvzSD47rotltwLR3VxrjY15lkxyInqiAty0Wt3kDIhlqk8H2e3wESlq9oCeLQkJINr+ZJ9qhe9eQzuWwWqghIpRySI2WBTI4oDKDZjkBPjVNE+yqtsFEIx2HkgCoqkchM8Y/z/KUtV4fmJ9LOnmuOQFdud6Y58oCIqvCs04FerUCPQmRUbvLMMzQ5TviQQYS2lguInZqFOBVEnQ7cWh0xrchZIAU1Os8xq4I4jQWeaWxWEjUn14WqRB2hr8oxCPiZrRiZBhzu55jlGg40JxILOHRPIHDONmWjD7oZijo3TC04egc5K6WiDDG3JaUCvAudD0JsXg88VcJDezYBKs3KjouoG8ncSJYo8yCp/GQEBME7bde2Uu/y2px0Y2iOiYoRoBVYsFwdWcgSHFq9TVhs5W3FyC1awW0kvo/bPvb7l+OfL2tjbTynQWhVlFCUx2pgbDX1HiEf/86vRVnFassplrHajUcRyl2o9XpVegUgKkOzQinWW9TRmym3WsnHamUaxXIJDsttur15dQRWqy2vXKJRXibnhKOY497X9r6/POdlu2/5dauN8muKQo3ya3vXm/N9W/wegarF+4vlcw6KFuBirldT4hVzUt4/vfum/L6yenJtrI3LPYoyjXKpxmqlG+XXrraM1V7/9a7D2vjHc/r1jq81j6st9/mYewLNlwJY/UYZL3jxBm8e927bhb27tyNII9x5/51oVAzEXo5NA6PQWhri5QTTy2ewfsMmURa1/Bh5t4mJoSGcb+vYe90rcP7U4/jRH/0RvPutb0XNi7FlxxWYm5uDl5uopC6STgI/jXD3E0+KvYi5ZFHAsHzVovrQoYPYuG1cSjheteUaeOtsVDfWsTgUY+NgXW4oW4hxy81X4+TiLOZTHxcWFuFPteWmNPJiTJg1BFmCm/dtRl+tho4fiIJoaTHD4NgYDp05hwOLk3jg1Gm4FQeHpqcw3bqASIuwrIc4snwRA6MeRiw2Oupod0MsIUJi5tg8NoEhx8XLbrgGL9+8A+s2DGF5sYMjM+dwx/6HUO1aGOzzYLYzDPaN4Ld+5Y/wPz/8MTz52AlcODeD1sUWnJqJC+1ZRFGKdu5LRtRCGOLo3BTGx2uw+m2MDo0gpS2w0ocRz8SW/mGxhA1uraEzA7haA9/xhtcLwOyvVJDoMYaH+pCGGibZ8rswjVOtWYRmis5SiN27xsViBU/HiQunMTKyBf/6574L3/8v34vXvOV1yJd5E8/cqhRzQQcJ139TAzudIVHAnJiahFX1MD2/gLpn4YZrr0K9SjWayjhrDDawZ3QMzXaAxfMtHDvwEPodD61oHhXLxHx3CXXLQZJm8EwPDx78MnIVIgXNdWAQFrnM1qNdzVXWWN7nSpmGstbxZpyiOVrHGPovlkbJ2ONLIyQBc6p4VlCtpsomJJtMX2nHFRssCxOoJKL1ToyGUrTAnxfFGNIsSVMv1VaOLcccWaOE2qcENitWOt2RjD7mZRHkEcZR0SLqQ4vKIjIc6s4IrGjzNVVeGu13UQSD+XpWRQAFtXxUgYlajjfOYtFU1krmaOVpJOUFtsWMtwR6XpFt47IIPrlNmvwuhyEZbqpsgMmBVAdxnZjBJVZf21V/J6zQ2IBKe6cq1FAuRqr5EmGMAkJNFh5QYaQsoVkQSJ5dSjBIpiJlGBEcj4pFlnhkMG0NWhrAyEMBflwvLVWFIcIRwxCa48KhMsqgqZBqNgUhyVMJV7kXNNOR/ZinBCC05mrS4KC221RttJqOisfcwRRBuwk/8iW/MI4TUbQtLXbgVRoYHdkIx+xH1GmjUrVhOhVprJUeBtq6LRv6isqy3nARJ2wlBUJm+emxZOIRusRRDMe0UR3sE4BDCEbozGPAsqqSOcbjPFzuCnCjxZkHF0EuG2dZ1mKaqahgadUNCTLZqpoGiBmgxgMn/r+ZkrSS0z6aoQstD0SlmqUdUZupXmqCNl3mjxmCrsdziOorqip5jHly4hAu2hUHhpkAcaCaemlRpfIv4ufE6vhmEYOjSlR4vAi41lx4BhuAEylWsawMQZsgTlm/JVexWhPQSHu2a5hi1TVpOc9ydNptWJ4N3axIuzVzTsOuj05rGRFbczOg3WojibtoscU1D+ATaBNMOlU47Iu1HCmoMTxT5pBHjaY1pCBH2rIl+Y7ANkBEYJ/rSLssCzGQ29KOI8q13Ga8Q4REcyV7z145dwSWWlSWMrqBu4wW90geTBD2EaDWK8wENURpqBq1CbhVVmYYq3xAKlt5PaM9OREA6iJLcjhVgn1fVH+0/yu1HM/NAFKXYeayT2jJJhxzqOSLA7HLU2VraFVkVRN2ylzQirR8G56PNOIyCDB5XuSwtRqSNBTwTFu9k3SYMiDHBzsxLMOBVWGzsrLhxwRxcQiLUDeK1LWORSwZNYMseTFFtWgaIbulYAZU9NIKzOuRiyRUyzf5/3AtQZulH9xx3UDOGVgunLyLJDGQVWrKjh8HSKpFE/naWBsv7iD4KaBMr8qrUGoVPy8r+IpRLt1YrWn3mSgLuHzeSBUFDYVKbzXlWgGNiuw6fi1AGuFWOQeOfy/UfIWKrWyP7f2+ULGVR1ldx6+XAoZle2tZiUe4x/eUba3ctvLnFpbkXsVjL3gt59wR2hXrV2xfsfxiG8pzV1Y1FsUqBeAr3l9W8pXnujwPvcstykN6rb3lTMJiECqujbXxUm1zLQDd5QRF38hKsxdz+59JucrlUqi9mIDv/fjkC/ZZz2R++JoXSul32SBfFIeo9lUkk+rqbduwb8N6PDF5Drk3BLcxhKhiYWi4D9FSgDvvuhuGWcPIUAOJ7qHW5yKLOujkDvSag688OYs7bv8LLDRN3HXv3VgIElTHR9CJI8RRE7lPAGE/1S4YSxZSjpFRD912IIqWRn8FJ+YXsJCEGNXqQIfqCBfDTkVaDm/71JdRr7ror3gY7Pdwsj0vgO704iKy9VVcv/laHJtZRCcIUdNtbOnvg9GOMNvsIK1RHWKiWrXxvdfdCNvTJWi+G2lYWlrC4LYhXDkxiotRzMQ5hEaOhuZJnlvX6OCafdfg1KlzcOpDOHRiCv2OKdlG/VYfzvpLcuNu12381d/cjre+9Y2SLfaJP/o0qq6HbtbF2dkZbBwYkJvH7X0b0J2OcO2GncBChoGai91bNuLw5DE4dQ1T07N4/MxJaYT8gde9Hj/9E7+CheVZtDqL+Nt778Zwox/zi8vIUg2zzSb6ai60ho5qxZUbbX0ulRv/46dnRKnEG/9mnOCzj94OX4vw2te+BvsP3okBrwa9qsOt24iaCUbHa4i7icDNvRNbRHEV+T4uLC1KoPzDDx9Acz5Epc+F7mg4MzmDA6enwVQpzuXjk8cRxgH27dyOXY3NaHhVDI31oV7pw/Cgg6s27pBqCu73jHliVLzRruuYoggTxV5GWEdVC0PIqCwSLZYohQxayHTeZBPmMTReg+Ey743fEwBocpPOfCoqwGgvVao1NtZGso8yynsyKtJoN6RFmNI3UwLmqayKpbyDrbUqWJ9wkfY5gcmkYczjkvVLYNu0EZLqEeoZcHQibEtu3AnxYqrQCFGYN8h1YqkHoVsitQsCAjXYYrdTjcAsX5BkQBg6FYRsZaV1ljDMgkEbqUVaRhim8gvJTI0kFjsygSH3tQCCnF+lnkPO9TSNBIISgpFyEExQesTculyZfcX+bNBGS6Ug4R4zziTPLIbh2gL7CJaoIKNlmIA2DiOBLdImTNUkbYWEHIZqJzYtWbLkvkktSahadqUCRUAS4R7nJIW5krsoCj/agmkhzg2Y3BfCTKk24jyq7DhCoq7vo9rfD4vg1WKngYmo67OmVebAjyPYno2+gSFRdlE9JXOus082w/LivNgNF6YvioU7jWkvDlClOhE2Qj8WJZ7nOQqqMeeNjcC0lROcWEC1okuTKFVdCZVhNFfyWEi6YrnU9Irw4dxXNxvMSOOxYxMk6+QhBMfMj6OyU1lhkZoweXwmbEHl5ziwbAu5AE6WpFDBGiHlnJBOpQn8YEWFZ2hwXfHFy+clUSRgm58hzarMk6RyjCovixmHPMZ4XnCdaXun+jVCFAUIUirP1PFJW7Dpcr0DOUajTEdC5R5zCxNVGEJA5FY53yPoa/QjTyxU6nWxnbeWW8jgIwpihO0Y4fICWu0W4rSNOGHBBcE6lWMGcj9CbnrwHH6eq0ouokTBLS0U5TDpNFWLvNblJEyMcKAd2jWURTzIoBMsxRGfAcg5SVDF4zLUHSmeEGs+1cHcfN1Ch6BfyDsVmFSOGgi6kViYI1rJeQ5QHUjBHlWooCKTVmoLoUaIZwuso3o0yyOxdSOz5fe8pInaj4pR5m5CQxxwPxqwHU2Oc9qKQ9NGZFhIUgeR5iMPeWwRtIaS3UnrN1XVJlugmZ1JIMcCJpNwlBJTAkrmhZrIxZ9siNo1DyOYkg9I2GdJJp/fDkWVSwu3RHmmPB5Itvn6UCzmiR+oQiA+jLENxP6yeohCcFl3JLfRFhO5Cc2twIi7qlVep1qRgD+EIWUzGVxjLZRvbbz4o2y1LSyxBfgieCKUo/rqUtba3mWtBgoJ2r5Ws2phyy3Do3JWXDGKdShAVwHmaN/lOvI95YIKwqreYo9iW3s/v/g517d39G5TeS7KarVi/Yvflxtny4q3QmVXQNQCtJYBZjGXvaCvgJtFs3Gx3AKKFj9braSjrKosvi+D1PL8FxCxF9r1Zhn2FpAUCsXVYORq+3RtrI3LMcqQ55lCuqcDUM829261Ft//F0Df85Hz91xKT56uPGU1wPdCNsVezvG1gNlH8Y4XbF2+1vzwGOFrXqh5vGyQ7+S5Mzh0+Bj8LMWjTz6BOyePY3r6Ag4/9hCmp89gsFEXldf8QoyuH+Cxx+6DaTWwa89utHML+7ZsAWZOISPEax+C4Q2I1XR80xDG4wAnz5zAcLWBb37VTbjv5EEMjNfx6lv2SP7R0FAVtm3i5Xt3ITJinL54FhtNTzLBrA7QStvSRDkfLCNmSHwYw6jq6MQxqoMOLl5swRwwMbJuEJ3jHcwdm8G9Bx/Epg1DyCwNrTzCkelZpFUdXz6wH/19Hq7bswuOY+Ojd90j+VSz55qojzDYH4hOh/jSHceRMNeKUo8oxWynhdjM4GgWPv/oPRgbrQoY2Lt5AstGjIWwhTCM0DBd+EkII9JQdXWsv3ITRjeP4/0/9v3YPDKKPrOGXevXi3pqU98olptN1Go6zk5Po1HxcKLTwbkTFzHRN4Qg0zDQcLF+qB9DfaP4/c99AX/58Y/g3v0H0F9xsWF8GBdmF2G5lgTOM5x9uRtiIPNg2DnW2X3AoAmvYcGqmWg4DMMHzFDBoWGjirvvvgtpJ8ZQX0MgGZVS9Y0uZs61ECwlcKo2TjbPSWKaXaH1K4Td4M2Zjquu3YhdzggQ5TCH2baaILPZBmtisFpF0Emw/9hpRLqGAbeGrMuQ/BBd38LZqRlspKKNeWESlk/MxaIH5qwpCybhG/cH4RJbRCkqYg4kIRZfRLhDOy+bLsVGStBHWyytvszQE7WdAd0k9Fspy+ANb6ohjwxRpxGehVGmCj3YpEmFn4Tv0egbS6EBVaZRQCBG+kaLMBsumbFHCxvBFIEZwSOD+nUpIqEKjbl8VIESCjIvT9lmac80lV2bFjhTlX5QCSadryviFqpdVMMvIZ+FMGSBR4gkEZkbYmr0CN6kWEJlxbG0I7G5711kVMBRzSa5V5q0daqFM2ONn0BYSeVRCp2vJWjPMslBo7pNRwW+5BNSicV8f9qbOYfMalPbzTZTWiEF+EW09TG/MJciA7Z3Mu8wStkqynIOoN3JYeYEjEpRmK6cy3EidEsUZdxfhEMCb0WcpQoyCCWpeyJ4Y34ZVYrEllQwUT1JoEc6S1WfW3GRRiE6C8vSBEyw1I5iJAmt2hlay8vwkxguFYQ1W5axYf0Y4oiNCjb8TgutuXlRQ4btZZybmpTtdQnzmS3H+bBtgR5S5UAqTLBFOzeVfDw2KGDyTGl+1mMbptmvykfiNpI0geYS6FZEucntDDn/4lSngk5lUtJhTWs3z2VRLrKwhCpNth0zKy3KkLNtlQUqBMyiOKPQkY2rLONwpLW5w8KbCvPqaPdmhmQk88XCFCGO1AOaLLdIZZ+JgJTHAIsd2DjNkhzaWnmSiWrUou5M4C5Vj1yOSRUcIwJUxTRlXTAZfdAYgGXHsMwK+ger8GxVuEPFbtCh2qwrJRW0wwdBAL+bomJnooB0CLu4r6smun5XNS7rMczcllZc2yXEF52sqGwtAkpH2aTheLB1D1piwbUZ0mhKTh9LWgiupGTG1FUmIXzwjIp4bFORynNeLNIqF1QSMzMdFi21WaxS8RI2I5swwxbsLIWeKEstMwG585nrauSBWNWpmqWQMKaSMGsh6wai/hNrOfdtosqEmOeXJSEdvnKdCDOWdhB00/LNrEgqGy1EhIe0vBOwUxabxkgIFSWrM0HaZJpejnYrRkhbdMKHJLE0L1O1KFmnGVvZCR1NGE6OzNRQYauulBRZ0PQIWcBcUwJTbjeQ+ZkAeqQhwtSERghsVUQpyjgAuT6LPZnJgZGogSsDdRhs9vVDOF6OhK59WuIlznGtXXdtvPijAElF0UYBfvh3qhfKNyD8B/7T5e9dahSqMC6bdtzemxr+vVDBleFbuQSCwJFfCztvr211/Y88ICoxAqcCWhXAiu8pw6fi/RwFACzDuWJ9C9hXfC2DvqI0o9dOW6wT56qAW+Xm3/Lfi1GoKIt1L4oritcWn1HcWJUVgcUogGYxeqFfed2KbSlAXPk9ZTBYQMTivcWyuO3F+vfm//XmDfJ1Bbwtg8W1sTZeqLGawutSpRzl1z1b9Vax3PJn/L9g372carWnKz251Fw8HRB8Jm3JxWf+v1a48kKDxw8+gzy+4jW9qr2v9xgpL+dFhXynp8/g0MmjOH70AJrdZeSLKby+utzIhUGEizPT6B/slxuWTtiSZjzP1qGlPrKgg4mdm1AfHcThk+fx0OEpeAP92DjUj50Do7jvzBG8au8eJPDx+a88gpG+BtLlFq7bdiVe9arrYXkW6qMVHJ6bE6DgmCYOLS7gwsUpUVgtZyGsho1OEKC9HMBczKF7vKHKsNDx4Yw6SJdjXDx8EfWdNQyPDiAKUxw4OSkZeLyVqOhVjAy4aGgVzC11cNqfxsJCE26mY2LfKNrNGOdPLeBlezciRIT+9RVYuoUKrW/QMFKvYNQbRMvvIo51LM0uork0h3PLPk5Pz0GLqXIwceX11+Jb3vQW2LSy8kYzT3Fxahkb3AR3P7Yfv/uh2/C2W9+F2z7yVwhZLqIpu59Vq6Ob+rCWIrHazdsRxhwHpu1goe3j6PxpjI0N4Nu/84fwr9/3Hag3qjh/bkFATtJORflDRR3VO7TM1hwP5xcXkLVirNNHgG6OzNOwdWxMwNkVw1vgRxHOLF3EeXRw+AyLT3J0FyKM2GPYffVW5GaG40enEUQpdkw0YDJwnUHuvoO+eg3zvo/hiU0Kxi1nqHhUZ+qi6jg7syiQ9s0vuwVLnXlcDBawFPloLnSxFC4jilo4dO6IWHGpcpHqS0ILQinyGhFyUUGjbJu0e2a00VHblPE9VLkRjlFdZ0GzqRpTakClQqLILBc4l8WEYQQlvAklPGHG3spn5RQGsTAiX7Ga6mK1E0zH8gVWpIrahmo/WwoEuG4x2zBNwY8CKiV0nzeuyGCrumBlY2SjL89S3rlT5UYIoPPmWjWvilZP2i1ZpMLGDkPgDhV+7HYQkZ2Ww7J1OBUHlgBLwjJSRRsh1VsEhzrTBC01NwQzhGySD5jBNmlTVLmFtCUTIimIqsoldISiDKSqKBIbL9lOCMfWVfC/qSPVVYOmbjnceGVJzkNYMpe0/yrLqAh/2P7JoH+WENBqK5ZrWn4JNrhsQh6WIFBxxGNKZROKOVBKLtgOnIsSiTDAJCAl3CXZ4HrSA8g5pgIqaKK1xD9LqDdqcq1aXlxEq9NEIEUdNmzTxXB9QNR13ea8QD9S64XFFs4deQLTF6bw8GOPY3BgUI6xzVt3SH5Za3kWXmMYAwN9akdQ2ZnTYroI0yMI0bDcacs5GBHcGRbMLIRDxSkVaGyR7UaItQwt/yIMwxU4N1yj7ZuHOfPXNAX8qFrTXWJyuR6o7ERDeBgH7ZcER4RzVFHHIa3azM5j5J+Cb1nGpl0FYxk4mnQXAeanUZ9J1SQc2T8pj5tOKG3PzJ/LuZ8dQl+Vz0f2YtBWy3OOx5dD2zRBpgg3JRvO8GyEvHSxkTzrIjXY2mzAj6huNekGhmkmyKOurKNmU3kXod1pI8kiMjq4bh2ZQdt1AsetoX9gBJZTl+OU2ZNZFiMNcwStGG7Fg087PBWWUVeui4TNBKa8RrB5muo8hwGkOpWAPJUSJA4LSqgMjqHbprSwU7mpRb7EXbIYhOp126tBI4DWpGpEgKxS+7KdNmHlBHLHQuw4CHRP1l/2sVtDTlim82ED91QKM6WFljl3BrI4Eht0VyCuBjiEuw4sw5VrCnPuwpjbSWBNcucpOE/wqtPir8PmAwCy0TxFRNt6ECq46TrwIxups1LS4YbQIx10FmdRDosPyros0eB22UgD2qQjVAjSeW2TYFFmATpwCeXEmk8reQ6DuXkNHpPKBk1lM2omTG6H7qJq8WHBimKV+4rqR14nTVuAL0GfTdTnK9Uyz3PmW1JoyocmtHXzIdDaWBsvhVGo6IpByPRLP3vzP7oBebp/4Be5fGWAVQY6xXIE5P3bD8g/+oPJf/UUgCuXPBRKPI4iH4/rR5BXDII3/q6ASuc+9DL87vJv/qP16rXBrlZ2UYaL5QbfApr12nfL7yuPMsjj+lKdxwKKcnHFaorGYp0I3Li+RQNx8btimbRtFdbY1fLtip9zbvg9VXPlUozyPHAU61a8nqMAk+UcwvJ7yy3Dq81BeS5657vYr9zva2NtvBCjDHvK3z+bUo6ng0erAb3eTMDnCp6eTmnX+7sXu323d2575/u55B0+k5+/lKFqGXg9X7bXD/Yst3w8fC2oWFbqPVfVXnk5Lyrks3ITQ+tqCNsZ5uZaMLwq9KYv+WzdsIvluRYunJ+VttXN6ycwOTWNwHTx+S99EVu3bMWTB46h2/TRbLUwPNDAowfulcy8zplzGJ8YxN2HDuLWq1+BDYMD2DqyFbs37cBf3H8nHN4BpjnG+8dwsT2H0I8EO4xaFRWoT9VepmF7rYG+eh+u3r4L7gYPY4kngfUDZh3pUgJ9xMS64SHEyxHmFhax/rr1ctP0mf/zUbzplu9GHIfYsmETWkYHGyeG8ZpNV+Oq3Vug9Vk498Qs6huoJtQR+Rq6fghbUwAl0jSEVoqFZohFfxFG6iHXMizDwclzk7iwcBHXrd+KZhZjZGIYdzz0VZx+8gSSUMfCwgKOT15AmKaY6mqojDv40//963jLW78NH/qV/4RuJ8ZAtYFvuvF6mGkH2khV1DD1UQ/t2S6mOm2M1CrYValjoOLhpiuvxuf+9sM4eOY01g+MITEjUQ311arQUg0f+KG3io1qeKyOpXaApJ1j59AIpmYuouFUYCUa2h0G5Kc42p1Cv1bDpnXjolZk2H8yo26+Tk2excnzk3AHHMm+2jO+Ca2QLacKvqVWADsbwPT8Itb3D8AcNJAsxfCzGK/cew20QEO/MQxXd1Ex+jDcGBA1ytJ8IGqogb46xoa2YMPefahUa6IoYw4WeHPJf4/SkgrCDFpTCTAYFKesXQxwzxkaJY0WtJISpihUZTLhijfnVLcw9ylj/hxvlllKQjKXSeA7M/Xkc8QvR9WfLgH4zHyTXDr1S1EvWhrtugRkvJGPkbOhdAU8iXWVN+CUqbEtmCUBFi2GVGypvEEyx1wshC40QnHmaK2UdFBBygB8vkhjeQctvVqKbpetvTHinBDMFvhFJRtVcZLDx9ZejYCHAE+1zkpLJuEF1YdUP8r6WALy2MIqN/AO51iBNY3qIIkpyxHT+sg8LQIbKvMIP9hosWJdZMkCYYWUSKShHCOilhQgYSAOQ5WHRvDBLESq0Wi7lbw7nr+pqD01w5McOsIKHVSDGaJGM6iAowWZ+1AjEFClE1xn2QsiLVOqPsroaMem0ohAj2CM0K7SPyjbQSpIUEQrKos46myhNjS0F+dgm6rgx3RqqPTV4Ho1OF4d9aqHSq0uqkXHthH4EeYuTqJS6xOwNr59k9h9xwYcUS86lSrmJk/L/AwMD8vx4fJ6lWroZCZCTUNV7NE2PFeHa+eoWA1k6ZLA34stKkYJRjK4tRr0KJUmU6Kdi2cn4ftdsWZ7niU20IyNzLLdOmI2sOahlLgQTNMizPOBoC/POmK/JhjiHCfsiyUkYkEF8ygJsgljkwBmhctMpPQGzEeMqMDUBDaxgZaQNyfQJi2jl56qZqpO2crMBxNRWz5L83n82wIRjTRQmYVJAptlQLxeOGzZdWVuBPBmEYIgkoc3zLR0KhXopg0/SmEazDT0JEeQFlwCd8J4jQ2tVNpKsythZgaT7dOGA8924RhcJwXJU+Yx+koJmNE+HqbwqKbkOZnQ3ushC9iMa0iBBCJfABdzGgmpqOATC7xmIc0JIKWHRtRqXBa5GEFu0uXrc2nXTnRH4gNoo+Xx7/Oc1l0BeCT2eWrCo+JYMjPlYgKwxVbKkhJRSDtVB6nGLENGChiwCELtulxHjArPB1472OQL6PWqNOgiiuCY/P9niojAPrIQMbNQHgPQWt2B2WCmpcrAZC4h1amBqDVZnsFjlArNQKzULL5Ku0DEIp7IRxjoyH1e9whUEyDgMWci5XxTPexyPRIpmWHrNWF9yrgBKmrjUHJi9YRqYEJCXot43aUNPkec2fIQYW2sjZfCKGfJFZCJbbu9MKZ841BW9BXf99p1ywUUhfqLkKhoiy1UZGV7bDlPj6Owd/K9XKcCHhG8MU+ugFD8vmjcLV5fWFrLCjJ+z20sq/w4itbbr2UrLkavjbZXoVao2bj+l2qVLb+f61Tk9xWjUDA+Bcz+5/+Qr8Xyiv3Tm5NXLswo1qXYv2UrdgEvi1w+vqY8h2V1YmE5Lt+sFbmCvdvSOw9lYMjXlW3Aa2NtPN+jDOC+HtDWqwp7JlCwFype6j3PBvg93UOW3t+9VEoierf/2Sjtvp7Xv1TalJ8O3pWvoc+Xiu/ne5b7tY6H1dT1L4Vx2f6VzBueiyeXkJsRhti8GCxiod2B4bCIAECfAdRy2EMOFtNlNAjuvno7xkfGcPjUKZiOi9PT5+HV+jGzsIhGpYKom+K2R+4Dspqo9R48uh//+Vd+A29+xQ0422wjQ4CT5xewGPo4dXESRhdw+m1YCbCY+KLcMwZ0hM0Ih0/Pit3z0JljmJtpI9JTbBgdwfkl/k82h9bJ0TR9VJwKclfHhSfP4xXXvAL/7Md/FA889kkBeGdOLWCkvwqtneArDz6EQ8fPIWgHwnReccVuNAaqOHhqCkMDHhYzH3XLRrAUYtyoi0Jj6Uwbc9Nz2DI8jDBehOt62DE8IiBwx/g4zl2YxPjgEJwqrauQkovNoxuwedMYqlqCfs3Fe7/zO/DzH/hX+JGf+QXMZssYH5jAqakLmGotYjTVsaF/Hc7PLmNgax+qmoPA13F0qYmxoU2Y7Szjox//PI63zuLA5FGxDc4vLyNe7sqN/q986O+QBwkWLi6hQtvakIOji3OoN3iDqmPvji3YcdUuvPmmV6A1H+Hff+AHcfOmq7C7zrZLA1/62y/BGjSgLUeigNwxvAX/7NZXIdLbmG83Ybkm8k6G73vTt2LLOPDZP/k8+uouBlIXg0M1AZFfeexBBLGPqNZGq+Pjyw9/FTOdRUwMT2DPzk1Y3zeKMIhx5NRhnN2/Hxv7mS/H8HraxKgYExOmhL6n9HPSVsc8PWbZ0dLLtk6qyJjuZqkWSirZWBjAQHzexFLRQ+EVb2KluCJX2W2EHGESiNpOnLcZ8/qYpyYEAQlBAKFcmjJ/X06uJKWsTjX4UtWWpo7knEljJzOqeA+cp4hpXaVkj5BKS0RxRSswFyTNvTmBIEFMjCgN5UaffQhUIhJASAYePzTNlC2UzZRUyNAsmGfSOirqIWZosTyAXDELRXHGbSaMJYwjKOPcEYi5LtePhRvKzqvFChaxFdZwa8q2p5lIDF2sfIzoozqWVmKlFONcEqwqJYDJzyXUW1GLUUHFeaZhlnCS7k4RYlJtRpjKoC9mb1pUtdL2y5ZRwj2qI6kIyqA5VAtRMcn9niBifmGUyLqEbF6mgszwZG7IUmPmKa5kENq2BcNm8YmJ7vKytOHKvOsp6n19qNaqYs/mTm1MjCIN2tiyaQPCpQUkAQtvALfSj/4NWzBS88QGTKXY4sKMKC2ptEozB1bkwg4WMd+KEWcmojBB39i4tCezhEMUkiyasDUBZMyRbPG4iVOkpgOfYF0AuSuqVzbMkpfSYpqHvlJTpoGA4nXrt8FxHMmGiwKl4iS/NQxHcjGZvUmganmOZMqluc3iWylJsayiSZpHDeA5DqcZOiGbYcm+58Tmmi0PSDgBsq/jFIZLlRahKY/xQM6BqBuoY525aoRchL08qVKq/mxYtPhy7fMYNredsQG2A9chbIuk5CNocgV0uJ4Lj6ULPF51DdVaDbWaC9euwbVqEhXQaYUyD5btiUrOtKtwWLpBwE/4JdGCzIkktGPOJq3gBOVUlUWy3DTuwO8uIqZCmPZj6lQ7baSEUxlVrywWSaFRfRoDsW0jSjU4vGZIBqfK69MyZV+ndZ/qWy2mapie2wQJ1X52TSzNfKjA4yaNA5W5SAuvlNTE0tQt16k8R6IZMMMQsU/7Pg3ALNjJpESHeXm+z8bdSDIeU5Za8GEG3fsrql62kEuLNrMc4xCmWZFm4dggKM8l+5MZiowFYP4orft8QGAmtIxT1cfHJiwLYet2goQFQHqGKA7o3kYnoHLRhF7x5KGEVumXshO9wiiISCA8ry7M42Q5jZ405eFErjvQq2y7ZtJjrrJEaRE2Xckn9XVeC1TEgCXXYV5jY7h2jJQ7dG2sjRd5FCqusgKtDGUIwYo/ha233KZbHmXQVYZJxaCCryjI4CggVAHrip8V7a7lvLfysstQsgwIyzl3hf14NcBWVi0W6rtiHVZT+tHSyz+9sJCjt3W2eE1R1LHa6M2w46Dqj9tStvhynYqSD960cZtWa6otwzwOLqMMIfm1+FPMD5e7YeOr/gFY5fIK8FdW7JWt1AWs5b7k+vE9hX24fBwV818su1gXvo4g88VWGq2Nf9rja1k7e1V/l/pd8ffVwNLTZcy9FEDUC5HH91zUi73v/1rLeinN6Yud/ffBVSDdavu4eF3v+r7Y618MLRePz3Mf3/Uv34X5xa4oom6+cp9Y9trNDi40L4qtZmzTEI4cOiOWrErdFdXc5vVb0TfYj27sYufmEZw5P4ujh59AlLUwOTmHzRtG0Zyfxlwzwvd8x3swdeQI7j/+BMYH+rChbysenTyAQasf5xfnUXcsUYLR2jY2PIpaluLI7EW5QRyr1LB94yjufPQYRsbraM/4kvPGmydaqkw3x03X78aDh4/D7GgCl6jYqnkWHM/EhdMLGNhWR7CU4brNW9HNu2h2Oti6fgvuP3gQnVawos7S4S/RVmgjDAPs2j2BZquDBd9H1o5FmUKosW7jECbWD+PMhTm02h04hokNY31IIh2nl2bguibSJRNoRJIRNpZUMLFjAu12F2ODg+gsBrhi3ybYiYMHjx3GWX8GbgqsG9iIx44dxIbBMczUQox0dbTCAA2nis4yVRQ6fvLf/TS++nefwJETU3BHTFyYXsT5qVlULBthlkB3TVEm/e7734cf+62P4Zrd1+ArT9yDHSNbcPLiKYwM1jCqVbF/eQqDVh2vvepG3PLaq3HNTW/D29/zFmm0rAw6yDyg4hto2wnsyEB/3cNQZRMeP7Ef3oCNN2y6Dldt24LFyMfvf+pTMKo2EpMgzkC4zByrFP2o4Yart8NDiq8cOI44SxHnMfaOXoljM4eEUY+MDCJpbEBrdlk1fdImm7OIgTfpmcBGqaaQjCyKh/h9rFQybM0k4M1ox2OxhfITchmEEQyBJ4gT5MHMQir1pMxAEu9Va6RYf1WhBi2Okn9FcKUx94xkxhSIIXlnEX9BBYzKs2NpgkmbLO3WzkqunTorkcZUzBFWsqQjQ9Ww5dhmGQhvytngaxFA6QniNIVjewgTWlipSIyQsO3XIrCjWpFNvbkE6xM+KAWiBz3piHJTstJiVUIgdk3COMkvVI2aJuGHqJNojVVqO1qdeVPP8hGWSXDFjSxAqnkCBKj2lIwv+vCkedZAHikIxLkWyzKBljSBJjBdGwntlLLP2C5LGzLteQp4a2EXusF2VJUdSdWh9HbwpOJu436VzmPSSwoxDck0JEgwCMNWuiOYy5eIEpE8lXmFnH9V7hHHgWr7zDQpI4iTQCAoM/0sKspsFoYwD5D70RG1klcdE1WgXp2AP3cSi3Pn5BjbsWEUC50IzXYbjeoAbOZVIkGr5aPT7WJgcFhUgV69D1lEMMXCC3qwWZDB4hKuc4zz56awceN2sd5Cj5A7LNFgMUVF1FE8FgnlCAupDmVoGUFo6DPPzZL2VZ4Bstt5POQmXFq2tRSuQ2Ui51JZS8XkyeljaUMrEVBMK6woqaTJ3ILtcq6Uyi+LWpLPZ7h90LNArOzcV1wnIiGq5WJaqtk2Ta4qwI/HfgKbClEKOKU1mMcgd1Aq9tYwYYN2rhqyDUeyCqn6dAmYDAc5i3WsTJSYbtVFxauh2eQ1m8pEF7brYHl+UTInWZRS6e9HlrqYO38SjmdJyQft6kmmVLTMKaRdley420mUylZgYVWVYJsZQl8lUtoEk8LSCcV57hswWVbUjZESGDOjs+nDaNgwokzO04qZo9vJYFZMOc7RacPPVQ6h5njy0IDzQ1+yZtuiCiagNh0WzKgIQrZtpyy+kJxNHtuErbwGqP//Ug1nWNRzGkgT2m9NtPUOTN+A7tnoRj4cuTCx8COEZ1YRJx1EVQ9ohZIRybw7jZmFjsoLjZ0IesCK7BA6ZbZxjMxx4PKBBOEhrwU8/1PC6VwyCZllSqhumym6IXcpwSHjDJjzqAB8FGowrQyVLEDAdnI2ibP8hUpJPg3h9S3XULVyiv9Q0VN0c8JBX/59IcU7jAzQbNz2kd+5HP98WRtr41kPquMKONSrTCugTRn69VoxCYoKBR9HGfQUTbDFa3vVfb3NrcUof17xuvJ6lN/D31OFV26JLX5X5O1R8VaGVr2f3Wt9JdBczRLLnxPEFTBxNYDIz+TrCDe/VtPwanNShpkFrOxdTgFKy6q/8r7hthXwsfhansvVijzKyyi2rdjW8j54qv33334Avz35+adex1HeB2WoV/5Z+bNWK0RZG2vjco1Lwbfid+VRttaWizKej5bdyw2jCG9eKsq91cbznY/3UoJ7z/f44P981UsGwL0Qx8RlU/KZRhVbRodhaTnu2f8Yzk43Mb+0jDRxpA3xyNEpvOnV18sNMGU3J8+fxx0P3oup6UkEfhOTU1OYnz+HfuaTxTFeecNVcPIQnUQ1pB47cBD3PvkE3nbzrZjJfdx/4XF0F0OcXZrB3q0bkJs5ArYGJgZmF2axRFkQCw4qJvbt3oxDMxcxMdEQxU/IGwTeoJHMaTlefuNVOHViWm5Qg5kO6iN1DG2qYinw0dVy/MCtNyL9/7P3H/Ca3Xd9J/45vTzt9jq9aGakkdUsWbIsGYMLAQw4EAIssCyBTRaS/SdAQv6bOCTrkOwSyD9Lkk2jJJBNAhsW04yxsY2RXGTJ6qPRjDT1ztxennp62dfne+7R//DkjjSSRgW4Pxhr5rnPc57TZ37v8ykdFfvGprDQWcfF5TXcc9sdOLV2Af04hm4raM7XMNhkjhknnz5Mw8KLZ5Zkctw0XdlHrdkm5m4agzeI8Mzpi/jQO+7FHScO0r+F3qqHoOdhJKvDX0vRH3RxcuIoWpoDTm2OzxzGqUsXcbW9DCXxsHSpg0svXMDSyio8PcPljS04joORmotNpYfehTauLHWw1unDhY6xuoul3iL+/j/4X/CHTz6Ob777G5H2M/zHf/lrAm0iwi67ACTtzgDf99P/Jzb9Nj796GcFcpxZf0GUJZ3Uw6n+MrRYheIkkpX3Y//7P8M3/cAHMXF4UpRnSTeGtxBive0hDXIMshD3HrwFp88/BZOwYgt45MwpNGemEPR9UZk5hoFxq4ZkLUDsx4WKrp4iiTScuriCv/yND2J8vIWbWrM4130BJw4dlFB5thk/eKgBzSyaZAUsSQ4UJ6yEUDSeFeBMVFnEeCwUkMaLomyCCjpaMplJRlUbz1ECV1ki86AkY6ygRARyBF+0zGaEQFTUSc4dGyoDZLTDIpb30e7LptcyHz7XSJYIFjhTjwQmRIkpuXvMwJOiDy0TGy5z/mgnVDUDllrkR1ISSwUgFUGmznZK8jMLGmzEQQiTKkQun4oallxEKUyD9S6Eh5Qd0Q5ZNLtSDZNqBALM+eNOSUURRHsu7cs8b2lzpHqOXQsCA2lbpoVWiQsQlFJ5w5gwXRSSmeaKDZSQioUPVBBSUcQ8Q6rATGbHEZxS/ScNnbEo/qgIi/wQGm3QYkPmNa/AtCxp8DX5vSwiYbswSzp442J5AzeJn2eJBl8ktCdwZdMvv595eswApHKTINcgKDMEgPCgsL2ZEM+o0R7JJlDmwgGmqRXW4UyFZatoToyIwonwaXL6iGyHTjWXxlywZWSZj7T9jCgtmyNNAS23PfhhrC6tYKzBnDxeVmwlNeDURjA+OSMAznEbAv6o1CQ5igKqmEzU6gYOzTFJUsPsviOi4tSliyRBqz5H5IskzKUNV6MMT/aVUVgobZu1qLJNPD4FUFbE9sobnElFJI+uoiOKQii0nGbEyIWSk83RaT+G5jBLkbZV5tYx45DwN4SShvAHPuJgizRQ1Gtp1IfHDDlag2XHsf2cyrEE7KwgxEl4z6V6jnZ400asmZKdSAUj739s+WVeIsFewyZQZI5fAYAklzKLEVDZmPnQHF6fkNw8jWUgQSCFN6pWg1trSMMss90ys8g9jHsekHRhNxoIgwG0dCDXuOQYyr2B5ylrezQYDrMjCcNspNuK2cTP4fe25JwOmF/Ic4lqParhqIQLQmnFVam+o3WZMJ1ngUYbPaFWAkXsw0DQ9xBpFkwq/XhMIh86rzeqiQnis1gsv1T3sumahRR8FEHASpZOkG3oKUy7yMqUvhQqki1apBmmR2hLhWIEJTCQ230kQQCbYFryGkMopoFYZ7+3ArR92CSFCZtxLSRUfrJGhFl7AbV3nsRdyAMI5svGRa4fC1h4TeW5IX/nJ6YLhbmFuS1FGSHpXJxLfimv08SnqjiBkqRo1nkfQKHWswiLeWuz5X7J64yY2NISBAGbxHnd8VhR4axDdRzYYIFVYcHeHbvjrR7Vkodh8DUM6spRteSWgK+0x+6kYCvbYMvPlgq9UuW1E8Cjkq+EXteyuw5DsWp+XDkhInDj95RgbKfPDGfbET5Vl1MqGbmOBFnldpbqtvJXCa3Ksonq9le/k1Byp1Hum+q+IOCrNu2Wr1XBX7XwotrOW/0vQVw156+6XtUcvup3VwFf+XM5lj/24y9Zh8v3VQFf1cb7V/d98CUlX1VdyGW9XSxhu+NP/3ilzLadFGOvFh69UmbfGzXezoCP4/Xm8F3Psl9uvJb7zOu9N72az7+a9370OgDftVSZL/c9b0ZO4Fuq5PuO7/kI7r7vJP7gk4/gwP55gRLMxCIu4O+ZtRdEEY7v24/FtSX0E1q0DFEgRJzMKCoc2xbLEBmMHqhY721gfLyBbseT0oaGW8OevfN4/NFTeO/9J5FkOkZyBb/17BOoKQ5uPTYpJRa2O4ab943j9x99BqmXQW8ZaDmWNHL2ohhph4oxYG5+ROxaVJWsb/TFUlmfb2FrpYtxy8DKUg9m04I54+LrDtyCLz/zNCYOTOLUMxfF2pfkKeYnxrHU30K4GqEx5sJioLuX4urChkz2dWZCuToUi023dSihhnpNg6PqMAkWkMOeqGNrNcXVwQJiD/A9X5Rne2enYbg57NzG7NQEvnD6SfydH/ge2NYs/tZP/RTuf/Ak7jt8G37pyc+gdjXFve+6Hb/1+YcwPTeG43uPYat7HtONA+hteeh6MfacGMfKxWUsXN3AarQp6pEoSmExb66mQa3pCPsxbMOCHzCTjZNtqYbYbqFUkOo5bNeAowszwj033YrPPvkY/vaPfA/+1b/7DRgTNoKOj26nD2vSxOHJWbzw4lWZeOY+S1A1jI+OYqO9iduPvwNHpifw+eceQycM0Ot6ePeJu7G6vAAvS7C8uoVvfu+7gWCAzLaxuNzDensDt588gM989THZV7R5uiM2Gntuw/qlVbGGCVyKmc9X2OWo2BQ1WJEBL0CIQIR5Y8yG4m/ZUCuohZAsVYrsQJZm0CLKnDhiJol0UyRni4pDmXITIBG8scOXkIUNmWkRy6cQGHLyTwssfagKSzvYZstiCSp2ksKyxyWR7/G/VAlRVRVFEl7P6yKOfFE0sYGV4INQR6O1lQY4WiwT2kB5romJD6YWwg81yeeKUhWmTXswwV4RuM+SD1VaP6nSybatn5yMp5I7J9cjMxY1NvSqsLQIg6BQCSq8SKjMIo7L2SnK1SnAPXcuFVm0bgs85E4g/KOKUlPF1khVIAszuC8otCNQkU4KAlFmBUqcoS1WYF6kzCksWo9JBdjGSXDDb0+Rphk0WlMJBdNYctLo92VeG1VDdKZy3SiQM2mnphpQZ2lFBtNSilbk7YZhJQ5EEUl1Gzcljn0BOSxRUQwHnc1VOLUGjhzdg4vnVuSexlZqW1Uxc3AEnZ4FXQ8wM34Mp5/4LK4udzA+MwLDaApYcW0LfT9F0N+EXRsRNZ9dd+XcJABkY3AeJqzgFdDRsg2s9X3ktJnzBqvXkeeBQCdaasl8CWt51kpmJEkyeV3CEozCvm4wQzE1kVCipW4313L/ZTw5+VoNuhqJ6jWKeFEYAsqVPISqmaKWop1U1Qqgm3o9qAQ9iiXWV+6vwp5NkMh8xb5AGV0zEDJDkaBKVKNctAmEgVzHcZ+FENIrLJ8FTKSE8ASzLOZRQ4GFBFzcdyZBj6HJMVaVmB0rUtIUDULYtZocR1XpY6S1X4Ay7cxr6z04miLq1jwrZHhe6MPvE9BlMAi6Zd1MuY4cjRCT6lrppJacSlqjUzWFEWUIUh2ayn1GWFq8N6eyMmIGHpdBy3yGzJOTGrZuIspikCtHzPaUSAsXRjwo4LSuwVQyRDCkeZrHhw8GaFWm/Zm3C9fQpT2esYfSpk1hasCsPQU5MyC3ejAaOqIBAW0sVlbmKSI3oNts+yWc43amSLxA8kVZeiHwMS6u38wqHgLkMQtCeL9kHw/t3pHcM0yVxSeOlOSaVOW6tP4a0PjAQeN9lg8dWJakis1elKh+DN2xEPWLxmQWtVC1aDBagPA19JCrJsJcg4OgUHjChp71xXpPtZ/hWgJFNf59zdOA+99U4KQ5At5/pHREwS/+4r++Ef982R2743UNgjpOHsp/3O+UL1eCpBJ+lSqv6ijz/HZSAO6kIqs20+6ksiu/q7pcDkKpKkTj6wR1bNcdVtmVUK9cxvB6l9ZglnYQnFUnUWXmXXXbd7LgEtp9r/FrL/25zPmrgs3S4kr1m4DQH/txySYs31NVypXv32kMtwpzcP1Lu/G1ijCq+7MEt1WlH/cfJ4dUB5ZlJ8PL4n7nz4fVmdV9U67fMBguFYnV9d9V8+2ON2PsZL19NU2uryaH77V8/s/KeDMab/8k7+uqSu9a6syPvQol341S/VWXc6OW+aYr+dIox0NffAp7985hbGwaI2N7sH/vftRsHXMtBZbJJ/4a+lEf3TiCYzHoO4GfBGg4JkYyHekgwcDvI+/HGPg+/JUUB8fnZVLXCyLEbowzC+fhTk/i9MIlPHX2DFIzw3hjXNQICysh7jx8M47O70VjlO22hQ2Nnh9O5KIogeNqaI02RW2yGQykQbOwYyY4OboP62fW0Hmxi6XLXTTG63jXze/Bt598EKeeuYrNjQBL51fRUOtoNiw0LQMXL6/BDBXM7msiCGKcnDyEta0eZmZaMJoqs80FBri2iruOHkSjaWGz3cOxvZMYHzFxylvG8lIHV7tX4bXTogyAaqk8w/sfuBlBGuPuu47iqaWzuPPAYfz6J7+If/0rP4/3Hj+GNM7wa5/4JPSlCL2xDF996klEeYaDjUk8/eKzePizF/DFx09ha9DHN33dvTj39AI2OlvYNzWBJEwxPzoKJVGQEOhkgNcmWFKROpJwj/uOHRMIy7OEoCYRf1aOoB9hIE2NOY5OjODo5B6cfvoc7r71Hfj//Y2/gr1z04X9LwLNWwJ45moTmJwYw/6xPVhf3kKUprhlbgrKiI7VlR4C2pkzFY88+TjOrC6iTyNXXUMySNEeAKfOnMfTL57BSq+D3/r8l/A1Jx6EH0aYdmdkW3pLK9KmKol8hHK0g6ZEVJxAFyonKoWYc8fyAIbkEypIZh0BHmGGymw5NsDydVreUrptZZvFTkf1CJuA5cohmSqC6AmpxKhI+pdGUmZA+RZtugnBDSer6raNmNlY/AwhGCfltMIShqe0hxJoEReqUE02zioIvUAUdcz30tlkqphi3WSuHSfQtGmGQgjFWws1Z3MtQZ6LXFcLOx/Vh0oGmyqq3EAaMIvPFks01VW6YSFNOHFmZl4Kk9shUCiHqcRIEmaiaVAMwhRuCytSua4EOYrk55HnqYYpllixMhOcCYni50yxadLMx4l7nIeICYFUKiDJTXRp3ySYYrlB4BHKFHltBKcsYeD5xykJs9qYn1jaibmtPE4yXZE8xSKrjhmKtBASVCm0GVLNyPUQokvxGtuHia8JscV3KC3LvA4MLYVrsgzBgu7WxMZKO7Vlj2DQj3F4qi7HwmCumtHA5dPL2FxbxqlHnsAXH/60FJ3cdOttsMbnBTYTmg7I6fQcTnNEFKAsjJkby+B1N8VCXR9RZP1KazSViKTFaaZL7qGSe/JAoCgdIRSkFTKTXDnJSZTqZ9pFiZsUydfj9ZcnLFdg6iG3siiikaZTUZP2kEh7NOEmz5UAeh6KxRV6DEVjxECGKAlEZWg27cI+LfuT55whzbHIdDnveO7y2qLisChuIWTKELLghuUsKi3OMWoWMyYzsZPz/KMSjzlwOuGtzuuRcJf/VSRXj1CH9TFy7VJBq9nobfkwLBu6qqPebKDpTosNmJl0Ay+GywuQze60iGfchhR+j+2wLCzhuvDEc2CbmbQZs1matnODRRRacV+IJaMvR6axTMaDquoC5FgwEYcDucYN1xEbrc5zPaUCN4NuEzBToUmlLgsseN0q0GMfMS3+VKtHicBcObeoAE5ZHMIcQ6r/MlGvJlGIgNCQqle/gLuUFVNZG2+1YRgEr1QH06ZMZaEC1TVFdZynBjIPMLIURq7AqdmQDIVcQZRwGSES3tvYfswHa7xPWLTRUgXL48FW3hxRZou6mH1CEeF9aMk9MXR4fgTIdFuOB7cpinJkQSpZfrIveW/VYzjSks2sRt6bqVZlZmEIy9i+hwXMpfQkH5BPDSyX94viwUtmFAUmOnNOVYW6Qjm3Yokt8G/UP192x+54XZMigpfq0/uXLJkf/M6XgEy1OZavlaCsVH/xFwFQCdyGIRW/g/Coqkir/qzaPFv9nqottZobWB1cLoEcQVsVOJXLK9uDh9e7XCZfKxVzXE61cKRcVrXVtlxnDn6mCvjKfVVmEVaBHdVvLwGyn/2Zl6DYsG2XisDhidROduhylICvtM2+XAlG+R4uv5rZx+Nf7tcqBK1m6lXtweXyyn1SVREOr1+Zw8f/lmrHYfXk7tgdb9bYqWV3+OfDyr5rlXe8kurvrYROb7fcy9dbivFKn327Ab5Xq4irgrRrqTM/+ioA242y9b5cUUh5jpXbOnzOvV5V4I2rp7N1WI6Jjt9Fu9+H390sVGq1OgzNxdSUA9XSsLi2JYqEwVaE1M6RhamoKwKXE5NEsrsG3UAaKq2WgUjN0BxrwDQ01LRJOLMtRHkXR8aOSAbSl546h6AzwN6JaZkIHJyZxosvXkXaNhGHCTRHReaoaL/QQRylCNoJNs6vy+TV34jRueJh8XJHJiBnwiU0WjYm9tZh1S1Rezz52EP4lU9/Aud6C/j6B+/H0tlNWKqBiJO/VMO3vPc9+KYH3oPcM/CuI+/AYm8DiqugMVG0uVqjKhpNA4hMBImHW48cwL7xMfQHAc54fcRbbMvsomZYAlio66EKqTXm4otfuSitlb/8659BM7VxfnkFz1x+AYbZwJOrC9i6NMBf+NA3wksD9Jd6jDLC9HgLqkP7IzPTVBw/uBdX+1fxD//Fv8PVzlW8uLqCh888g6+9/S54CZtfFUyMj8H0c4GSiZ/CVDXUJ0186bkz22UOPFFUHJmZFWvYVLMu8GrvRAtXOxne88Dt+P2nv4pu2sZjD53CmRcuYaxVQzJIsPDiIlRbwcLaGta2tnB+8SJinRl2Gn7loc9A66ZQHFXy2CYm65ifmsXkVBOH5vci9lKowQpOHDyGi90NCbo/PDOL2dYYuoqPe999C5a8ZUyNTOHv/uA3C/ABk6eyQn1Eq2KmmQKjROFC5RzxhKgSyXVUzjHlMqC6h/s+plosIY4iAOPkVnCGqNQYYM/zRLLQKK8RRU9htRR1U4ELxc4n1tachRuEqGwDLb6TIJHlEwRQUhZBkEjoSEslAaPYiIsctIxKKMsQJSHBlErwRBBDAEKATRul2FMVmLT05pGsO4EdlABRmMvy0ziClqkCn6h0MmwbCdVSIi4kWGOeG1uGadmVPSToiytMdREhAttNCQjB9ZLlh1AtBSbt2STZxB9ZIKBSwIg02HKPaHRjCkTVbVr8qAjUJXdSGjaRI/ID2T7bYrGECkOspwXspBOXEIrXIqENrw2CxTQiqFQQ+30BevxZ4ofb52oiFmKxjm4XVJAmcp8yU466KxZ6hOQ5pBsEglQG6QXQTkI2fIpWUIAjSxoaYy2MNYB218OlbgDVttDeWsXNkybSsQn4/T6m5w/BtVugZNVsuNBZkrDdYJ37ddx68+1ojE7i0N47cNPhA9jaiDE6Po3c1DHokC46CAaBAKReFMCd3APLUWERGNFRSTUmtXYqITXt4kWpCoEdz2O6P2kBpy6KKkkq83SLWYcpDGYOwhIwqomt3JZmYdWmVV1HGgWSj6jwHGRvcawhbPcRhFRfKdAtH7kce557GvwgEiCoskjBKnIs9dyU6yKxCHR45Fm+ksMyNDlGhIM0yMZqBkOjco2ZkYStBJRUlPJa0JEwm47FEWzo5d8Jci2r0tybE6gROtEunhGGRsj66/Iar8QgiRD4HhST9nKgXnMk95DngO6aYr2nUpbqVdfIEA1SeANPFIIxP8tcOoJs3SzKMiR7TxGARpBK5S0vHGbrsQkbcQSlbsr1S7avWDXJP9TYnM17CmMj+IRAsYoiGG4HYaxrIsgT6GKbr0GxRPInWXW05xpUt9HebjAXkSUatKpT5OrIAwDu8zDjeUAlZ87bHnTJzUu235uKhZfXc+Lxii5UdmzV1qjms23kcAq1fc6yDQ1m4sn9g9CfEkRFi6BaLG7JRYnO+x5t0QT0RsyWeMYJZMgsbh+bhEPkBhWMjDHgOcZrljK8WJpyFar7QmJNcksqnlNRdhPhSglOygcepjwYsxDJdcf7QI33SJaTUK1KCKlQ9achs5wb9s+X3bE7XusoVWfDVt0SUpUW2LJYoVqKUQVO5X9LeEN1W1WJV7V/Vr+vtPdS2VaOKoBj5l+5nLIoogoWS3DH91ThXNXiyu8gXKrCr6qtuAoXq821w8q48vNUpZVQaxholetAYFbalLkOw/ZZjmFV2/DkqGyzHbY4D69PuZ7lfhg+llVbNN/DP/8gPv7ScRre79VjWx73ncpCqse+/A4e6+o+qx5n/pzbxd+X++ntZA3bHX/6xssVaOz0nutdXgn9hss0qnl+b4Zy7a2w8b5V8HAnxWT119ttvBbINqyae7l9ztfK97wV99EqjCzXufzztQo93jLI15ywMOgHCMIUkelhdm4cZmNE4MrFdozp/SckvJ6TRE6oa3UTrmIJWPCjAJ3NgeTCUTzC2KOZuSacloELFxfR8wa4/cA+9NItbJ1fg11z8Oi5Z6W51s8jBEaKF9aWkGoJfvFTn8LFlStY3VqCblC9kCPrEhQ2Yac60iCDMcGJsHgEJcB/YsTBwcN7oLeBPe4EDjdHxAK4st5BOqayTwFuzcDzz5+FNW/jL33jRwRMvP/+W2FaDdx1683w1Bip1UO9QWVHgrXNECZbAzMdDxy/GdOtGnqrPn73C4/KhGnV8/E1U/O4+cAexFqIpfYm5mdGJQfr4KEZHN9DReAyljc7OLZ/Lw5O7MForVBr/NBf+O9wy9xBmCMmfufLn4fXC3HP/D4cPrIP7aCHOFHhx8yGynHm4nmsXuyIQm8QRtjrtnBkZA+WO6s4NHkSegisbmwibWpIe1SjqZJ16PcSWI6FkZqF5oQNp67j/MoiDs3NwI9SOJGBuYkpuHqKb/ia92KPPoNHnjyN//jQpzE6ZiOlTVmHqARpLd0z3oJr6VCabOEk4KKts4Bi82wy1Ry02z5+4q99B/7cve9G02R7p4KHrizi33zq10QRlJopnrtyHqEKPPTkl/GVx07j9sPHsbrRxz/6lz8vRQ05s70EptH6SSURARHhHuehnFgW7Yyi6BKsxyKHAqBQ5UKwJzZekYRxQm5I+FdZUEEQSyWVKJCoYCJNIRxhKYAUbhB2GQIhWNJAFR6hIsEc90XK0H8CF1a9stxDsZHkicA6Kp9Y6kDVDyfPhV+Ntlcq5DKkPhWXnKxvw8A8hUGVVlY0flKJpphUWNminJIyBwICS5fJOhVCAtUIU1hKQMUN5+BUHPpcl0xsfAIimVNIJRZfY3YZYaA0AtPylxStmJKLl0gZCTWbVDoVuXe5qAhpyWUmGZV3BEOJWH6LcgzRStLzzSuR1keq1piFl9NKmRQZiVRNEtwqSQFuqd7ZLvwgmOI+M5g5KIUjbNHlvqfcj4UlvLkxnJ/bw+JZdvJGoqSkTTMOI8nek9KKMJR10qlqFGWhVrQepwoctoWqOsLMwUo7QL+7ifXlJaReJAU6Z9cX0O/1YOsq1lavwGCWnaHjhaeexbiZY79pYNzUcNshYGP9RYSKB79/BQsLl9C0GgjTGFaeYGO9iyQaiH2U5k5C0mBzCXWVqkQTrjsmKlKeh1Si6US2llEUixCl5jn8IJTCFcukojOGikjOKVFEpkCrVlieqRw1tUDsk7z+NN1CziIRqnh5zhOMaoA5MoZGzZRGVinvIKhjuUyWirJz4KnQcg1pkCDyCuutaVrQvUws9FT+0pbOL2cOHIGwQEpptM1h2o6cz7w6+XCH9tVAieWYJkkMi4o/lfi4aHEWy+p2riZbcLUsQRDnGIQ5NjY2Meh24PcGhdKNgNMwRSVKSGzpKlq1OqyGjZptw3I0URNnhgK3yb8nCJuKcyb1fdm3ep4IIJVsQIJFQjuee4a9LTRN5L6k+b5Y5WNpsSUUThGpzMkMJBuQx41nvUU1HUsmaB8mbGXpBIq/E0VF6xK8asiZU8drrc+8TJ7xidyDpMMmodWewLV4+MArgkUxAvZ5f+FDCt6DLBUac/MIaU0qFxVGKArIpsKO9wyDuaCMl+BH9QFi1JAilAIQ1SnU3YbkNCrQxRINRIMi74D379iwoSka7DSEQet+wvtlIs3JquXKfUoLCTt1Jl8i57IVxrYSJjNWQUU3SKGaVOwW7dcWHyhEzPe0gWQARVeROGzsDcW6b3An2MzZTKBtZ6/ujt3xVo4qlKk23xJS7WQbLUHRTmComl9HdVlp26xabUtoVI4SxNG6ulMBxLv/3je8BJ34++F1oYW0mgdYfq6qbCvXqxzVbSqVZYRdOxWM7JRXSNVfNUuQyya0KvP/ym0cVtQRZFatriUw3cmay2UQanK55bJKWzPfT5g63KpbXf8qsKwq6Kr7nutz8ecWXwKiw5mGwyDxWqOq9iyzArnM6j4r90kJPEtl5LCqc3fsjhsxdsrHu1Zm3uuFfzt9fhgGXs86Xu/3/WmFh69lvNX74kaPa6nmvrTDPudr5XtuZBnH9QLD6neWnykfHt2o9blhmXx/4x/8z+iu9rC0uYSZmTFR2yhwcfCO/Tj37AoaZoRu28fc7DRWFq+i3Qvg+4Fk/bhso41jUfgRTHHST7ufHwaiAIr6EWozNlqpg61BT3LD1Jh5RgrsOIFfp9oHuPfELVjcuoKNQYY8a2Jr6yI0W0PNMOE2VCwtehL4TYXXu+86hksL65hvWTjX6eL7P/Ct+Ozn/lAmt3QjPru+hsGyh9qkjfFWDWvdHlzVxjfddx/+66MPw5LoJQ17Jqbx9AsXoErxgwrV4CQ2l1bY84tXMdYcxekXLqJWd2CM6DioNbG6OYCHHHNuHbMjdVzubGFhvYvbDx3EaN3GV58/j32z+3B25RKUkRT5RoZJt4FDc8fwEz/5D/CL/8dP4VNnH8E/+fH/L/7xP/k59PsppmfH4ELD+mYXd955DA89+iTOn1+Widl7bjmKf/gvfgqP/N6nMDU2gvVuF8ubHupOCz/9f/8SokEscEgaaBMFuaWJndEeNaBHGnwvkvwlJcwxXm9hvdvB5EQT73/nfYiDDMdvncUnP/l5fOnxF9AcZ3ZYYbOMtQzT8yPYWB+ITY6ZblRfJb0IdsuEkam4be9RfOHCszLx52SaIKBljaA76CDNqTWx0U8GaNoWjh3fh8efO4e9kyehqEs4t7gGhW2dVLvowMjed2DQ6SELqbaLyG+lxIHnFVsxY5iSkUV7HRWKYiGVXLMMGiEZFT4yhVUlC40TTykDkIw32i0ThJEGw1aQ0D4nFl3mzhXZfDyv2GAs4jBCI7FUUg9WaPzIA02tyJgjAFMJVlJa9QiDqVgioKNihuvPSS8n1IVtVVSJ/A5CSarWuO5mUSoiRRdca9qJDU70U8nzi6MQuuuKhY4tvJInluew1GDb3kqFlCGgiec9iwWovOGVlTMDi+iLMIJFJBSm0kpMyJdQmUiwxoxGqpx0IOJ3cr2oimTZCGWKBISyhqJq1AW6EhBSnlcUTkiDr6LJ9W8YtH+mSGg7RlGaAKqCaEfWIfbGyPNgOiyeCKWEgwdeRJrMzuPh4rpQLcZtNmg5pGKM68Z8QaqQeLQNOV8ISWiJZGsvrca8OdDWTVu/ZejbbcIZbNtE6HUAdwSjSgAPNgadLew/cgTPPvmkAJPJo/fDWzkLxzExOtbE2lofk9MTQH8V++dvwfmFZ9DPCOkUuFmKICv2M4+RqtF2WuQ6prqF5vS9yAdfRWcjgNqYQNzfwohrYpAkorxkAyqBCjdYSUJRsOWmKW2vPOmUrFAx5moIlQUKBFNQYNZsREEiIIUNswZLOwjpwmJf6RKeFyNJCbWKEohcaUBVAwGptqYizHIkRDa0Y6uePMRgWYOcIzHVm6qAXZ4fzFBLYjZHF9Z2hZl7BHhhH5rOjMQMRqsuGW5UELLlWm/YCDc8sX/yYVCcAY6aIJTGY15zVDIqiJnZl8XSpJtJE3WGMCbYNkQxZxoOmnVL1iNJFMRxT/I0ebyj0EOrNSrW2cjzYRCM02oeMQsvEyAYsZiJGYC5Cp85iHGI2mhTclujWBP7rqgNxRqtwxt0Be7WW02oUSgqxYT2XbbGogaFYI+WfWZFRgpyg9memoCrzOshtepFdmgSiR0+1zLZBt4zqFpVWSLCe6SSCJBN+T6f3tYC/Do8V7WiAZuKVt5jWEyUWwq0qID90KIiY5WgjX+HKoEo6qigNBQDcRyKwjqmbVqyMouuZFJTqo15DYkikSUdPAaEhIoDTeXf0zoCharTFBHzQPUMQcbHIbSSqwKyE64bD6iRSnEGCzeoeEwtS+5/qcrPJaKmhGZKrIDZaCDyPbn2eWx4T9Ck2ZcugBy/8ss/fyP++bI7dsdrHn/nf/vSH8vRKwehEJUCpYWzmrdWjmFbbfna8J+v1ZBb/rmaybeTsm2n77xWdl1pdy2VeOXnqy2zOy2X0Gy4hXc4269c/nCJSBUEDn9+p9KSa+XtlaOq5CgVjtWii+p3V0e5P8uMvuoYbtmtlmfw+6qqJO6HMvfwWt9RbcotX9+ptXj4u4f3e7nvd8fueKPUe68XBO2U4/dyxR3D3/12VJn9aQJ0b7f9S9D18/hW/FkdH3uF3D7+/P7T//+Hbm+Kkm/10hq0Rh375ucxaDMUX8HmVhtPfvlJGIMe8tCG2TLw3Po5rId93H1kHq39dSRRik4vlHy32fGWwABmrTE8nQxltjaN0bGaqJgOj87h5IGDUNIcdt3CCHQkbEX02LKZ4qGnn8YLz2xg/cVVdDcWZEJIVDE/PgZdrcNQNZzYM465qQk8feYSVrsdfO93/WUkUYZ/9uv/GaapYv9MCw3LgGmrOHZyL955+KSAwgNjkwJQzvuLGDVcnDx0WADX4b1TmBmfxMlje5GbzNLLZaL35LPnMQhinHnxMsYstj5aGN0wcGmpLa/vH5vEeW8DD526iEPjo3jviYOI4gwXe2uItBiOxVqEHL/+z/4tGq6Lf/Nv/gvcpoWnP/mL8DxPbL5nH7+Cn/vJn8FHPvS1opjkBNuYtPHsUy/g1n1HZV3uvvc4Qlj4T//+P+Ps6hJGDt8pTY1WApw6fwFaSHUM4RQhiSITdobJ64RVsQZLU2E3dMzP13HniaNY723h4PQ0Vrc6uLyyhFq9hnvfdyf6HvBdH/5GHN57EHedvA3WrAOtpqATRMg7EY4194NGQCtVcWB6CknOCaCKF9cuYtxwxNbZUAxRD26sbaJRdzA11YDZoNQMmJk6gMdfPI8Jpw4lWcOoth/TzjjsmoW5sRa0kJNQFkmI5kiaF7lMgiRTAuF1sWaK3ZAKJpFqFdtNiEf1icTJEdSx7ICETmNj5ja40DL4Ae29qRSOiKpnW6FDoCUqQn4HbbdU6FHBlnEiTJCVbJdPMNGLACUCVEuaVQm4LC7LpmWXLCRFnnDyXTSPUnlDmzLttPy9TJIzNmwWlmdqumjLNKj0kQIGqrAIrKiQU6GmAyQk4Bl/n0q4fhjn0pqaETjQeiyiRkKhIjOL0EiKLiTfMEdmUsVDuQ8BRIqcpNRgoD8ViCpyPxZNZFEGEYkaiu2/BG/kebI8leu7DQkprRO1ZKHUIgC1LVMAHyf6hYM6KcpBCCK5JmEsVlaWMYSxL9ZJQmGCFgUEFjwG28lzbOG0HIEotFEWUr5cbJKEJWk0kAwzAhSqvViGQuJgsDQgp1WSgI/QviHqzU5nDa7hSkZhO2YWnyH7+MzzZ9AcHUVuT2FiUkXse2ITRnMO/mCAA60WNjzg+bXL6MbMqqNSMsTxu/bhjltPII4LG2UBo5iVRqYSIu2+gI1+YcEdV3qoj00jiEMYzOpMabNmO3BhJec28ZwiFGamHdIib5LAkq2omUogFAo8smpjGGu5CAlDCY7TTGIHlDqPWOH5FTjI9mSWjtAWihS+35XmVV9s6LFkGUYRSzgMRHoOJYqRia1WhIIikLbNBKZuw5T230yUmVRiCnlXHSiWDdO1kfPhDteVVnNaPbu+WDjZIMv2VosKOWRS6sB1i2kY5fqzqISqVOa58ZrRdDhOXVS2bnNU7kt9L0YoEJUFQlSdeqi7Nupjk1IAQfbI/DdawAnYeFx5zyU6F+N/zRUYnYWB2J4JSLlv45jnilFc88gk94/XURgk2FjcRJgqYo/m3z5U6Kksvsh4vpoIQwVGjYUuvFaLeAYeNuJCtnMzlkIsrrSlpxHy0IdNFZ7P7+S1lcGK+gLEPZMlJypsy0BEZ3rOfDsPJi3DRg7D1WBlvM5i5JmHPKb1P4PO6z+PESW0RMcwWaKis6iFgsbi3OE9SB5bRapkKRImStu2FiFkNifvQRYtv0XpjsQR8BzIbOhKhCiO4UShKH1pH5ccUqQwnQw11ZbXWbbCpmGei6nuIstS+B3uUYNVLNAsXpu897CRnOdAcR3zeYXITXnd7o7d8TZR8xHqVOELVWlUZVWBFpVxpe2So1TY7ZQBV76vXGap3CqtneXnq0qzUm2209hJZVauVzmoxuO2lIq66mdLpVqZM1iq9Krv20kdx1HCK05c+Ht+T2nFHS6hqH6mur4lrJPvrliTy1FVUXK8VILysz/zEozbydJcHeVrpW23/FUt2djpc/wulq+UKkx+pgR8O9mDd9pejhLkVY/VcKtuuc+udTx3x+54tePl1HnX+tnrzYYbzum73vV6LeOVvufP4qgew7fbvvmzDPiuR8X3alR+N0zJ963/3UeQeBEOnziK3MiwtbUBd6+FlTPrqGk1+HkMrR3Bnm9is9OR7CCGjDdaJtS6jh988IP45x//Xdh1A0Zi4tDcFC4MNrB+dp0eSNTqNu6/8yTOPHcGS2u+gDiqDQZUjXASR7WFTpueimDFhzVvIaE1V9UFftSaNiYNF4vtjijK6paN9U5fYJ4InMIcs1YLi3EfH7ntVvzmM09BT1Xccfwd6HmLuHRuC62xGvwsxKG5vTh4aA5hX5oA8KWnz2BheQlHDh3CucWLeM899+DpU09h7+wcBptd9OIeXHMUAwzQ3hzgjvk5PL64giOz01hYW0Z/KcDBw3OIkxh+6qPX9nHHzSdw8qZ92DM5h8dOPYVWsyX2thHXFQvXwA/RbNpY2drARqePrXYH0xNj2Op18PTz5yXbSreoSrGwd2QeH/iaB2ApW/ijrzyDv/l3/g56557Dpx95Hr/8id9BLw2KRlqCNs2Av114oFoEODmMcRPhggdn3kboFWoZpZHhn/7gX8Gzj6/jqy8+j0e/+jiO3XIM//yf/ig++vf+FR5/8QxSWjhrGoxIw6177wLsGI8+/hislo2TUxNY2Ohiy6e9LhV4NTbXgl430XlhE7VRG+58E52LW+j3fdDpVWtZkl0YBLQbKljrd+BSXcR2T+TYe/M92FrrIU0CxF5clFWQPFDqRWsdiy6k7bWw5RK6McaK/nAKXVh0UIjD2DRJiyDVc7oAQe4f2m4J3grVYdmYS5QsEVbSHsvcKlXhxJ6Qj3bGWBR5OcEMm0iZ7cUJLC118pUhDNpxpTOE53GRmyVaQGbPkZiItS8XBZNCJQ4BW0YQQasb4ZBC0x/yjOtHlVqEMGbhi4l4EBYqKSFlVA+JIVHsoFSzRYQNmSnlD5J9JrmQRZ4aCxpoZ6UaEWzcjEPJIsvYvCwNHFKNUIA1+mNF+Ug1EhmmglxUfUAUslSAwIMQTxcASoWcNOASskbbsEPS/1VpJ6YgLyf1ZD6bYUnLaJHTlkMxTcn5Ko8jjynVTLTkagQBVK5RMUi1Gc9qKqhSNgEzC7EommHBRZaq0C0VIbM7BUASxKWweN7zpka4kpkM6ZNjZaYZEqqIEqr7aCU2UXOMovzDMLC83IY71YKadGHBROCz7oeZaywSyLDn+CiSFQV3vPdeLF0KsLj6GEzm9o3OY+0qbbyX4Ey0YKz7WE03MNWaQndAu2NxLSZ+oVikNZJZeoatS3s4IS1hZJwW2XiSBScsmACJ+1SXXMSMeW8EjRYhIaXIVLnxXApgkPDwNauONFiHZTcRhwTgPlCrQZPzjWprFh5QKaZBsx1pYS2aTqmGZcabV1jVaa9MdVF4iUCU4ChLRYFIOMlSC4tQWiSkVMSakj9K6C7AkHA40aA4SqH4I5Q0NIT9AbR6EwZz56gWZKkOr5Zcg25RNWjD0iw5FXl9DHqdojWY3xnFMHVjuyiGpUghkoAgKpOMReb/8cSTLEyqOlPATzL02m2Mjk/ANHIEVEJaNRjoSilFFPjQLQudTgdZFoll3jIsqJYFm03bkQ7VyYt9wKxKXi1RAtvNxUZcQH9ebwzyM5HEIVLNgsWIAJ93YjJqQ44lW4tTXjsEl45Z5NpFEWxGAei2RDnw3I4HbAbmvYt5mNtFM0Lb2a6tw1D59wxt7FTqMqPPQERbcs5HYgMkcROaEsEwi/syr5mQ+43/VGDVrRIWpSk8twnbpVHYgqZTIZxAzSxEbNsl/FNUGDEfxkWSM+jFCRyb10yhsua9lTEOtJnzmrMZG9EvWsjjJERKVWnkQ7EceVhClWmS0WpvCbD8pV/YbdfdHW/tuLLwsMA1gp5hu27ZSMufE/6UzbTDrblV4MM/8x/x1WbaEhRWX99pELLxe66lFhxWBVa/s1TIVdV1paqvzLfbSUFXtgpXm2aH236ry6z+nHZawrHh7Dn5XEUpd72jqoK71nJK0MeJ5MvtSw4q+lgKUrUql9tULrfc/vLP5b7lsaYasKpSHIZyw6rLYTXotdqVh9V+u0q+3XGjR7UQo6qme7UW3NcKkF4OIr5SWcfrff+bMa7V/nqt16813oj9+2bswxvVMvtnZXxsaH9d73G/YZDvf/zr/z0WV9cwMTqGOHJhWjm2VjdE9cDJlDyB11RYlgVXdeGPUV+mYmt1AEvV0XJssXXWWobkJMVWhnGlgW5/gJuO7YGROdCsBFZk4osvPCdB4a2WjuXVHmDSDqZg7+gIltsdWK6NJIqlgZTWRYb9Hz84hwubq4j7KZymDkezcHxmGo9fvCwqqeMj87iyvInpyQb6bR8P3jGP/+uRUzDGDah+gr2T86IuPHxoH/zNBF86/QRSBrfnOR7c/048euEJfP+HvgNPn3oMa90tLK924FEco+XQLQ3rKx184B1H8NzaOpbWuzgwNYmF3obAuKAXwrRU7JmfRr/bRaCnaBo1XF5bhRppuOvQLXjH3bP4xV/7JA7NTONrbrsdEwtX8P6P/Rz+17/+V7HvxB78xkOfx96pGbiagr/5D34ST37+c3jkqefwd//2T8vx+Us/9O34+rvux+13HkVvfRP1mosrvof/9BufwPn1JWiaKWqWb//AA+jqGTavXMaDB+/Gr375K9hKN9DfjGCFKiam61jp9BAFkYCuH/72b8VvfeoLuHDxKm66Zw7nzq1genoS7cVN2HUbAy8ALBVKpKIxaqLp2Liy2MbsVB39XogP3voB/Nev/q6kU0Vazgg6GSONOg7OEHCegc3iBDNBw3Hw7e/7EP7D73wCx2ZH8dTyCtIwgW5qhTqFlt39tyMUiEyvbqHY0yiJYnYdswBpeRSAlslEmlCPKhQBZlSPMtNK+A6VaKGoDQmJaeNkFpyU9FK/QxUJoQgz5gjUtlV2tDlK6y7hH8EZFXlUvymGtHJamo5YrL3Fd8r7CGJSfj+tkwSHBEjM6SLcKyyKiWZDYesl1Yi05lJVk4h+ThgmrYFUXmVRoaSjaojnv6kVduQ8ZVahImBNCAhBrmEgGETSKCz2WaoBuS+oXiJgJOilisdgEQOzAYuJeC5NuJzMx2ILZgYlf0B1FC2B3N8EYdxX3I9U6FDxR2DJfDJuE4GoAETa8zVCDOrxqKRjpB4VglRh0vpJT5+OUGCAi5CNmrSHElzmhih4edwI+hJSGbZy0kJMayehl0GQRWLIEgxLzq2cLaRxATlZKJIwM5GKxG04Rks0rYEmoaqhwfN8mJoB1bLlPkMVVn9rBY3mOGIpMmDOaC4KLm5n6Hck/6wxOg7EtKIqmEIC+9ARpFurOHe5Lw8ANpcvotEYx5q3JUUatdYk+ptrUPVMAAgBGfcz9ycBGTcvp3pRlKeUyzWQBzG6vSXUW2NSKkGlXMwIN2MbIjPTkPl2JtVhVPpRrRVDIYCVI0GZZSYtzKlkGnrQFObuUbVGkKsh6QdcoKgfszh7qXyD8Emh55IZgHGEXLOQRCxL8QtrdOpA0Xnu8FzToFmEYgRNxf7lXz0GG4IdAr4UAdl2mEv+nIEEsWoWlvFtyz3tomZNReLxWue1x0zMHEoWQLNqcq+n/bXu1qRwgqU3QZKI3ZO2XZP3AEJw7qPtjDlm9nm9PixLF3twoQal/ZgNsbwOMvh+KKo9/txlbqTiQNVoL9URBmx45RmjoTvYEmUhH4I4ZgOGa0grrahWwxS57kLLushY6kFoqmyXypi8XRE6k/Ox4Zo3JWbpFWUfLIxREw+p5vBWKorbkJmbhNdiz+aCmGHJ/EFf7ltpZkubMh8+SL4mW7OZk8pjSxTH65GrxvWyMzl3eK+i3Ze5uuTtVGHymo+pVo5M1LQIgTQ+8xZlFA8P5A/cTxZ0LQL/qqf1Xe47aQSVJ6PLbZK7rjys0Wi3pxKUQJcW3lCBbWkI+LCJkJ1RCq4DpU/bti25oYKvvQFiqkN1qiCpOlXxf/37Xci3O956yFeOsiDjWpM0/sP86r+654+BvpezbfJnVL0x942jmrk3XGixk523/BmXUTbIclTB4k7grvxZCSmr7xkGkjvBvyrIqwLDnSzNVVtwOar7plxeFXZWB8FqmWP3cqOEcFX77k5QcHg7y7bjEmSW46/u+yBOrb9LjnUJVq9lpx6GeMN23ernrmXJHQaku5bd3fFWwL6dRhX8vBrotNMyrwcivR2h3Vs9Xi3se62Qb6fP/mmyVH/sDYKPN3q5bzrk+5G/8yO4+OJFZEaKLFQwv3dW2lTfOTGLs5sr6EchgkExAQp7ISYPjyLwQ/Q2A0y1moiQoBv4GNda2Eja0Pm0f5BhcqSJbtCHlTnw0hijbgMHDozg6kYHXao0DFWaGleu9KC7GrIgwczkNFZ6qy9NYuojNZlUfujkTRj0Yjy5uIW17orY8vytAAf3zSDJctR0HaOWhRcGa2jYDZx58ir2H2+hyzS3QEWgAoO1AfbPT8JXI8lBSkMFXprg4PQ4nj1/GUcOziGLDEzVDLEGfvnyWXzPrXdgZaOPiVFXFGifev4iFgdtqLmCJE3gqhYO3HsA9qUBfD3BmcVVzNfGsdrdwtGD83ju0iV8/W134/NnnpZ8QipPphuTeP977sTi4gJ+4u/9HL75+74eDc3Cofk5OIYLbxDgkXNnUK8Z+Mjd78NWr42Ly+s4fmAGn3/ucXz/138Qs+PTuPV9fxHf8F0fRKjE0OsGtL4iDYhUWs3vH8PqSkds00ma4g/+6x/gR370f0AcBzi/uoa/+E0fxqhp4Pf+6GE09CZUM8TZK0v4/m/+Njz8yOO4sHVZYMpA1GIJarUabjs0h0efvoBpZwS+4qExOYbFi8uFGqqpYyKv4VJ/Q6yGtKdGaSyZjWIobGiYbI0jWB+g6w9w0779GHQ6AoL7QYTj++axPLoP/atr0pbJTCfuYw6q6iSoXrIBOc1lHh1BFDP9ity9whdaFIKILVYsfJxMEvY5SGLmatEaybdGYs+lbY2qRwIIBu9TOcUJsrTUEvrpMkMVWyKVg4R5TF+jmonWYAbiC3wTwJAhZWYcWyypVuOkm0UJzMwzBYNC0xxppUxjKohY8hJKjqFC+yAn7wK0MtgurbyF9ZhFDlJ+QBLHCT8PaK4JXBgQdlGpaNYEzFBlmEbM9itacmmRo/3ZME34XgCdAFOUWywx8WFaNtIwgkY7JY8zYVFCa50L8TUzfD/LEBLMsS2TgJCAM4+ga45AIlo8Zfu5jlQ9ShFyDMswqR0rwBRVmLL+VC9yG6nOK4Ag9yfVWrR2MkuNwI1WXZ6z3P8sYhCbIiFVoojd12CwF8slkgQhMwB5UJl1GESSVybFH8SwzG+kEJT2VTapsofFakCvzcDfuoxBv4fGaBOal8HTYqwvXIHtNjA6OYIk5j420ZhoYSWow/AXsY8N436Ie++/F8HWH+GFUyoSwhnNQh72JcuN+z6PC+WbbrOEgSpUclR6MgPojiUZl1lsQBc1XAGt+Q6yZ+YRSgtrGiBSLGRhKOopNpcSHMc8X+maNdJC/Ui4F0cC9ViyQquulcY4c+Es9u2bh2o2BciSoCaZA56atKtnPpWZLGfhMTKhmKmUlSRBLA2qTl1D4kklrGTmpTyw3M60K4UPtGBTUao6QOqpAusNM0MiCjXmD1LZVyhvScukPZaFC7y+Mlq0E3mYI43ABrP5aAtN5Fykld0kJGM+YRghShN4fVpQ2eCuwxS7bZE7N/BCuJYFs2mK+lRl5qRqgr0mkRfAtG34UVh8b5rBsmuyHgRzzKeknVguqUxBp7sOSzPlYZbJxlw+yjIdCY0loKfikoCKtmdmfhoslaHe02fBE4E4n0cIuoeaFjZnKnuzOJG+CVq841wR63jouDDlPKAyNxdbK/MxQwJywkdpkbFhMGeR99M8QppZCPngKbWhEujaLO3QkaSRqFGTxJecRT4kyP1A7gcwXUgSIxWOurF9f2KGn/SFI8/7RS4iKz2soo3YpKLQcZBRUa0nApQJJ9lInDHPVM2Q0MpM5bCuwmQzt2R18j7nISNIZWYmr9PAl4xeXgQsZ4lUKp/ZyZvgF/7dbibf7njrIV8V3pSQplTtcVCxxuw+AqEyp2+nLL2qAmwY9pQZbyV4K8cr5flxlHCMQOxz3sf+m3WtWoo5SuVhdb1KK3D5ehXwDbfWlsvaKe+vus5f/F8/IfulhHTXyvKrQq3r+Z5hVeDwe6uqu2vtt51agctlV1uCue7DMHOn4zKct1f9DioGywKPnQZ//n92/o//5ryp7pNdVczueKNGCXF2Aj0vB9xeS/HG6wVGr1YJ96dpXM/+rh7HV9rPwwrOPwsZife9hvPnrVAlXu+1dcMy+fLEQ90w4dRMGC0dPaoa+h62ggFWLmyivzjAkf2TGJtxcOLIDPJeiv5GgLtuvhmZaeJ9d96OA40ReLkvE9pIco90XDm/inAjQjfsIbUTLPdX8fTZS1C2IjTdUTSUMSmycFsWXGaRNUzYPu1npmT/3HPb7ThxdA/ecfhmfPn0ZTy7uIyaEaMx6mBUteA6VOcwQzDHQtLGpu8hGiRY3NzA9JEmooQVABpuPnwSzZqFmX2j8JIANdqwUgP18TF4sY+VpQ0cuH8PJowaRmo6nllaxLMXL8BUdfzec2dgOTo2OgF+4bOPYmlzHaOWK5CRk8N6rYat08tY2NiARTCQqFAcHYat4tzFJZk4P/TiM3jfTXeLEuyWuSNIlBDPX7qKUy8u4/t/6DtxcvYQ7r/9JM60r+ILp56F3bBQM23sHRnFbz75OWx4HXQGfTzy3FnYqY1/9dnfx0//x1/FH3z8l/F1t95WBOF3UkRxAtXI8cDNxxCuhdJAGvoJ7BED3/DdH0TQ62PMnEE90PBbn/g9ZImNzb6HZ86fxZmNJRyen8AnHvocXli9AH8QYe/eedQaJlotFw1XxxeeelEmtcv+JjY3AykVSR3CmRiTjSa2Ah976/MC3mjZo8psbnZCFCTBegwzUgQQjDqjePbMizi/vIoGAVQS4vELFykCgubYSBNVVE8sDxCoxoB6WnYJbKjG4Y6nukgt1ChEGIR/XDfOtEX5ImUThHUsBeBUXoVGCymVOWygpbKK1IQ2T6qImLvH6XDGDD8WPRA2pVBjBvizObawwgpQkjw92kNpiSxswknAn0sNcJGtRpBIlRWbMmXdqCEMkOucLDsCSAj6csUS4MAmYJYd6K6OIMiQcrtyS7Yv9AlGaNmj2pAWwQIYSCUI7cVIBKxxv9EOzM9SaUOxYg4DvufLBB3MzqOyjE2e3Caq4pibJtlfzCSkeomNxcwxM0hFiA2hcvJOyKcUpRearH8gn6EdkNZRljJw+3XiAtdCTJUQCyYoM5NGHAJH7gtVoAZLLPh7ycFTmC3IJmXBEqIa5M0tTFh7QoVfhsCLEIe+fEYajwkRaF+mSpMqREJaw5U8Q6rfjG31E9uHEXoCNkWFlkQI+suSi2ebDtIght0Ewp6PidkZTEyNijVUZdmHmmNjcQVj+SruPH4P9NEaTt52GE89cQaPP6NhwH3IbLa0K3BmEHswEtpLCTIMRFEk4I/FFxmPnWqjt74uCmAqTJlpyHOHQIv2apYWpIYptvEUBMW0XdpiXTaYzZizCZXnkXAq6KYtcJrHTIpbCJZ4CWg59uw5CN9jbmQCncc3JqphK2qKKEqlrZv3JlqxDZY+BCpWN1YRpx5cliFRFWorsG2qy9imzLZd2tNZxkxwqSN3TGgZW6H1omAlU5GEiUAx2kV5DTM700xtyUukci/PLCnBobJRdRy5H0QEhnkC064J5CVwCzq+wDFm33EdHdtG3SIMtgSi8zqwFQN1xxTrcx4RRDlSEEF7MXNieV8U1TKtr64tMDGOIhhkwillawpiv1BK2q06LCrcCJRdG0GQwrTp7w7kgYDC5mGCMi2GFsdi/85yQ+4BbDUGm3iJ1ZSiBIaqQ+kFF1t6gijMpIDE4sMh5hQGoWTqaUrCWlp5EEA9LKMGUmYgmjXkaoI+YyuY78ekO0OFS7Wl2oPGwgtJ3oul/ZbUWyP8cy2xD+e2CmvUgs0HQATegYpUMjapgCZMpTo/hZVz3ypIbH6eJTcOYu7PNJSCEcdwEJH+xwoQJEikJbu4F3E7qBYkjE5J0NMAac77WSYZlmoQSCSCqRAbRwh4HiVsF04RUy67O3bH22hUwRyhDeEe4VhpSeVkoApqCInKZtvycyUYrGbscbmEcxxlzl+ZjVd+505gqrrs8rPD76uq+sqMwKo9tQRanPxUXy+tyQRTBJDDbb+ElVXVX7UVuFxntv1yf1Rz/Agxy3Us22PLbdgpu7AKKIeVeTvl/Mn6bSv6+B6CxuH9Vt2vBGzDy5Hj9mM//sfWfafCEH622tBbDioDq5mDJeAb3r7y54S+paKy2j5c3be7Y3e8UeOV2nOv9fOXe/16oOD1gIzh9/xJA3y8r96oUe7XnfZv+dqrVVru9PvqeLvl+b3W8bHtDNfXcv68nR+w3DDIt7KyicAucpLY6Jf0I0w2ajifrKO2v4mJQyNYDQeImau0z8T6ahemrcNrd6FoAb74zFO43OlAd1Xcf/MxHJ2Zk5ZKZ9aGcbSORr0m2T733noCrmvKxH+j38aGt4q9jRlEeYqjew4DQYqlLACnS3O1UTz8R0/g0uUlWF6K2w7O4tb5GYzbdfTbAdqRLzahbm+AKBxAHSiYmxjFNzzwPpi5ij93682iXhr0Yzx55Tkg1OD3I+iJBQ8RTp44DiXucQ6GzSjE5S9eQWIw0DxCrtPCZ2JcHRXL3e+cOo3PXjyL0WlCwCbW2z30+gN857tOyGRmeaODTc/D82srCL0YcRri8OgeqHaO+w/fjGAzxqNnnoMXhbgUL+Fwq4XllVWsb7Zx057DGEQe/vDLz6K/FsKoWTh7bhGtmo4zLA1QXfT7kViii3g1HVpbwVyrhf/6yc/h4eeel4bN3C+KG1zLxumtRdQsW3hHbdqCDQuBl+Li+iaeWD+NbEaH58fwfB+9bg+ZruC77/sAFtc20Yn6qI/XUG/WcPrFi+gtDvAX3/t+PHDydinxoIqPqjJn2kKoD0TtcXRyGleX1xAYIXr5lgBVnWUCdQUXF5cF0hG+bfpdrPQ2sdTfEBChWjpCtjJaDYzUXIyPOHJWM7ueoI6Bi6JeiqPCnkeaF7GcgXZXGtoKISvVoHSWEf5wgkmgw9ZJNkPyQwnzxfgzlgdImDzbRflp5kCSQdFeCikFIMwj2KO6jkpByTekyolwj9ZhKoCkQVYVKCdWaZnU88NFxh3T5TUWFNC6J7F8RV6dxn0iDdFcHuFPUepBZRzz9OK0yPwiFKQajDI4Nj479VxC7KlEkpg/qoPSQhVF5RPVbpJZSPsslYtUdCWEHNLCAYOZXFkqECihRVZRpPEyD1KEzHmLCEKA0I+kqZlqUzY006ZJS6zhcJ/HokRT6OlLud4sJGAIIgETVYxUSqqigqS8j3bZDAEQ0wLM1upYoC9hT8HHKakkbCWGL8ooeMKq25A1FbsvbaE8ZFRlFgUieRJJ1h8tnCntjkQrVIQRDNJiyM9RXUdMmykwdVPs2GyY5inFn+TMTmMjs6OJCnhlvQN/sCX5dIHviWKZeYzMfNvfMOBnI7iy3EO3l6L7whlEWVuafgeDTVFZxSH3sYqG6SKlek3PYdRqOHx8HxxmCzLzjnEHjQSjIyNyfKWxlq3GliXZelqiQbXZXpshYfYk+2ZUUyyzVJUyTo3gUbLZiJh1KkIjGNLQWkQL8JqydF8s7EateACRhBFiAm9Lg0HQGqTQMx2WlSNng64WIyLYslOMj07CrLWQxkUJTsp7ZtcG2PocJFCCEFnuSOMt4RKLbRLa0JVAFJORzmw6DbrB0hBbIGKm20hVAkq20vK6Yw6jitwkTOYx8bZLdwxk8QBxVNhTaT8OaQmXzEIVlqtBsR2QCfMy5LYQMhHcGTyfabO1VNRpFSWUUzVRcFIBygy6lPmkVAGatIrTEkvbLVBzLHmolIQBzFqdTxkQsSiD9wPm9BmWlHOonoeUVucoQ5hTeZuQKyPjMTIU6P5AcvHYkqywnTcxoDP/k3EBLKlJNNhaBpblEkbmluwSiSJQac9lM3TM7+AlpUKJBxKTwH1MqMamX0LzyAhFTUi4rWuM0uCtJUUSeDCsDFmvUF0KRE005FZNbMR6U5f7WspbMaMBCAaZiZvniCMDZsKHAkTqsSi42dCt8wFGzhxXQkwqkzW5t8izESkRYqEQlc4qlIBee96DqAS2ZZ/wOPBciLUGUkJYkefbyLkSvGHvjt3xNhjDOWol8KHKj3ZU/p6TB04GSnDH1whuSjhVLdTg78sSh+oyh0Fa+dowmCqVXTuVO1ThEH9fBUbVcocqZOOo2nb536qasASQ1eUSXJXLL0s7qvCuLO0ov3v4ewjIhosuhqFh+dow9NoJ8BHMVdVv3/2Df10+R9BYPY7V/co/l9bqcjsI6Li9BIXlsoZzFfk5vp9wrgSt1eP7K/F3/Dc5heVnqnBx2N68E8jcHbvjzRxVgPRy4Od6yi6GYVQVRO0E/F6uIORP6ngjoeTL7Zth9eT1lpO8Ufu7hGyv9mc3anx0O1v1jRrlst+MbXlDIB9b/vxeJPli2VYML8+x3usj64hIB4pPNVGG/uoAL3zqosxOgq0QW94A9aOjCDqJTKSygYpT564ImGMD36jaQP/ZNrbW+miNOnjmhfNwdRMbsY/QCwXELHrLGI9MPLt6Fq2aLaqwiZERrHsd3Hr8CNbWPDzTvYRPP3sOnzl3Fk/3lmUCMT5Sw6EDs9h3YC/ahCWagoV+B2bcFjXTpckM+8am4TRMsUR1swFGazZ6+QCjhoPPf/UruNTZxNGpWclP4pxjY7GHZxavoLsaYIAQG9kGNtUImZeKRa7VaMDLAmRqjgcOH8Di1R62vI40q07YYxgsh/jzH3g/vG6AFxeXoKo6RubHxW48yAIcnNon6quOlkJ3DezfN4WV/hIuXF3C9GhN7Kl7jBZWe5tgXcC+xjjiOIFVs7FvfhZTdQPz41N48F13wR4fxcmjJymbFFjGyRYVe5wgby33cOnqKkIthUElBWyMEaApCr7lnm9GbyEUa2vkd2GPWDhy6wT+/e/+LrxBDHe8gf5WDwN4ODG5B86khS+fegxPPn0BYT/HhjGAMmYhGcQ44oxiz8FZbMV9fNe9X4P7Dh3FPfecwA9827fhnXcfxZ7WPPZOjqNB6Kdp6Lb7mKo1cGj/FBo2w9gztL0ukjzAZH0S68+fFpAhWf487yRWjK24hY2VghKBaVTAWLrYL1loQYDIiTTbWAv7X1HGoTDUnvZStnnmcWEBZCEH8x4JCNgSzPZHKt9Y6sBSCpmEF8ozMkIqZFRR59CCx/NcE8ttTnBBhRbhGdswlRS2UbTUcvZPNRYvUZ4bEttHEFbUXBStt4SRfIXHyDTElklIxSZQifin0oWqWMkTZCYgs7ZUsbQWnmNuYGHHNZljZ7HggplzOjRDldw72iaziMUsiqj7CDNFyUfLMFWOVF9RFUdYlmdSlJBGubSE0sqpxYV9NmdjhSj5mFdIlZoqJQi0IhKWUhTFFk9C04QKoJzmZGb56UVeXs6wfyrTGNZPUKmKNZpW34Rh//w/7oOsUPFlUYqEsFNgEQs5eKyYC2dB1R0pIqC6jMoigaUStlgoysQemxHAFI2zbPylSo77irZBQiN+d0SbMosMDAWWaWJmdg4TBFCEU3GM2vQ8WqMWVhID8fppaIPn0O1swXePQbfqso9a9TE4jZqsAy3jhuSqJTAJ08IAS5eWkCoERQbSMEQYNsV+3ekPxPrPmwqBo9zMbaqsFFHtsWlXlfMhgyuAPAJ5KcGrAC81FbhEtabHAiHNRiS2WBM+G3czBXrMa462VRepHxZNt1TT2QbWe21keV0U1xjw2LKxNZeSicxXgIhfFoMxiGothSYKvByaxbzJHjQngdl0+BYomgUlZ7tyAj3UYTAgTrNlnZnrprNxmLZinvOSfUgYWFyzVOkKcCcAVhJsbGwUUDNK4BgqEsJ9qoLZDExISBWanLtcN9qki+KcoqWa500oANDSHbmXigCtSLmUv59iNvymGdohMx1z6I6LTLcKlSrt4VT5sWGbx1HR0e/4CMM+9NxHEPF6V5CbLEXKkZqMbyBxZGmIDZ/lJyy3ZQmNNCB7yB2bsY5SLMIHD1wmwRqvDviagD8WVGjM1EwITXmaFs3aiaojYt6mGUteX6QacKmkVOrQXOaLRugEhIOp2PsJJRkJqrqEf1wQ8wAJ/6iADeRhlaLZUBUHuh9JY7OhsRWZql+pE4Kq19kpLNe6o0WwbA1xRrVmLGAwbVChzTIWSVss2sp7HhQ+uWDDuWoIUFc8r1AOc4No0w47yBlZINch74eJvG937I63wyhhTwlldlJWVVVwpZKLwK9q9a3CqvLnHNVllnCoBHD8LzP3ymVQVcf3cjLBP3PyUgKq8n38VVWZlXCr/D0/UyrROKjKK7+7ajsdbsAt17/axlvulzKvcDhrr/wzt7X6eqloLP9cLqtcz2rDcBV2lttaPS5VBWT53lJdWYVq5We4DG5z9fiU21udCPP1cn/vlKFX3a/l8eL3lPCv/Gypuqz+t2z4HT7Hhvd3+V3D5SC7Y3fc6LET4Bluyn01yq5rwbzhZV/vsnbH9YPUN2I/vp4W47eDGu6jb+A6lMt+s7fzxkE+RcXIZF3C9t26CbthIOekKM3Q9wJshCGCMJDJZ+tAC9M3T8CqmdhYa2N6QYPiFmHxtsFWwxyprWB1fRPLGxvIrBzqmIbFK5s4PDOHWw4dRr8fIFFTPHjHO3D7/lswckz8YRgEAWpTDVy5vCKKhvOby7jl/j3oLfYxO0E1QIbUT7GnNYcgTbC0tY61bgeurmNyrI7VtTZOn1vEPcfvwfFcxfmtZUT9VCyBRpxj0R/AGdGxxIBzU4ETGVjptaHRcroZ4tQLS2JbPrpvP5q6ichPcP+J49g7PQIvSLA86MCWjDngtsMzMFxT8qFo613JtgRkfe7RRzHebCGzU8R+go9/7vMCKxpWA5nl4j/9jW+ScPxaWsfFrSW86/hJ3Lp3DxZ6Pfyjn/jrqNcN3H30KPZNT2Hh/AZGGwr2T46KZc0PYqxvruPy1at4/onzuHTxWaTSuqpLgcknfvHnoTs6arYFddKAy6B6RYGHHjbbVFoBX3r+D3H42BjG55pIvBRpN8XGGR/jJ+cweWIWUR7DNkxMqSOIjDF83T3vwlI7woXVKzBtBZP2Xiga1UYZvrB4CVpqiPXqq2fO4PNPPoeHHnoCv/rrn8Qjj72ApZVlLEU9tK94uPXWgwLYepqPS+sbkre1rzUPlxa7LBfYu9i7KlbljPFdqgXForWTJcgE0GQ2LF2gNZQ2OkUyFTlBp7KPEDBNmPXGXDiWbRT2UIvvpcqNJRMhlW5UeinS3CsWV05rOalOUjmnCe5UKloVllPQRkcgQThFhVkReE8LIaEDLxiWU1DVJQZTjYCNhREqYmm6pVuRdr1Y8vy2k9dEhWiwgZMW3ox24Vwsrsy2i7xI4BtVR+LJlDIR5rlRJWPAsQmyYlHgMIqQQEQyvSiT4bVnMhMtKDLadFVsrVTRSUYWgRK3X6OSr4CoYmGlbdOyoAdU53B5VAGFAlEiNt9Kc8I2/CT/5L6m3VhjhhfLFizoVD1xAkTrJi9eQgMtkw4V7kdm/RWKRs7z+XomGXSEKykVYAROYuFlFiKz7Uh0+dkMpmXKuctcRQIUgZm0VDP3j6qsnMihaCfO2DzK463oYpFUWcCSZjDzGJFP62mKfruLkVqRjUclZpLkYn/2LUuUgqpdQ9L30BgdwdTeI7Bbk1ilypHtyuoGsl5foMpMTUW/D7Hk6oRoUtKiF9gyV7dVTtxaVxSRadBGkPowaDNXI7nH6ZqCMC3Uk8p2zlunGyCKNYTIcea585KhRrBK2GZo24A4ojVShaOzNTeR7LY08uBQUkdbKqEXwXdIkMy24AymWbxGoETDORVabOAVxRddzQR8boZUY/4hzwUGKpJZsyyER5d5gXVRpAa0ORNq0c4OBUFcqPq4T+WgGybNpzDYNuswI86HmhLuUt3Kay+FKSUTBF/MlVQxPTUJlSU1tilw1iSoFhs68y/pE8+g2S6i3MCgO0AcJgKyBZpJTqOKWBS7qahegyAX9SgxXxQGUAhOqfw1bSkJ8tn2S8UfaC8trh3GLPBaoAp44PUE9FkjowKpMsOSnE1aji0BlrHY3rWoBysOEbFPhPcHlQUhOdJ+JJZxq6EDRiTAnptfhPfFqOkxFLYaC2grFKgE53kEKW3SgwhW7iJJMqT9BH5OmOtL8Qb5GTM2WWDjeSrgusiZiRjwNjQq9y1mYlLFZzHWQncQBczpS2RbWBwUpTXkqSX3NCUNoaMn2aC8ncZuE2GkQFMJ7TVEg5h1xchp5VdSODWGGygwbNqvqaZmgU+KgU+5rImU7dQ8n/mARbdEaUklbsxyk4aDiNB0d+yOt8Eo7arDUGYY/FDBNawcGC6dKGHd/aevvFRKUYKsqkW3/HNVbcbfUxlCC2oJxqrLqIKz6u/L9eXgMsuSCcKoarYgRwnvSmjFnxNacnuqajX+vArVqsq/4TGsuhu2uFYhW6kmHLbJVkFfCUiH92113w+Pstxkp/1TVRtSnVmFl2XG4XBbcfW/5bEg6CyXOwyC+efytSo0HFZxlmNY2bk7dsebNV4LyNmprOF63ld9/XqVabvjzbEHv5bSlNcyXi8Y+9ibrJ57o9bvtWzHDYN8670Bsk6C2WYDZqpgnzkKJc7hmKYoVCZGHEyONZHWMwl5j3qhTCKoaGLGXc+PcMvYLNpxhHHHQRPMkVJQn3BQbzhI+zHee9utWOkN8MnHHhNb4S3T+/CpLz2GZy4/B3WrhhMHZnDT3CFoGXPOcgw8D9/84IO4fKFXqJICDS3HxIw9hXVvHf1Bgl43RG/Qw3d++H3YXO/he+67Dc8tr+BLT3wZv/elqzLJ7i70oQUJJmtNaUkMvBx7TBcfufMuNEwHPhUn/RQffu/N+PDX3iLb3A/6OHnbzdjTmsVjTzyPD9x/L9DQRVDTX/cxVW/gl7/yNM5sbCBk1lCQYK7RxPjRBuyWgsN7pxEHCbp+IOUjhDcbnTWocQ9f/xP/GZvtTZxbWRAFFKUnZzqr+JYPfQ1+9l/+PJ65ehWnL13G0lIHSl3Fi6t9PPviJp6+dBp9LUdsp7jj1veI+syzVEwerElLLYHYh773f8Bg2UOLSg8vR2cjwlY7RHfTx/hMTVpm15e2sNDrYGuti7HRKRye28/ZIixO5vMEeT9Cs17DZreDfv8qdIbTb/pIPZab2FjevCI2NzNTceTALJavLKHn9xBkPmojtIGZuLyxAkS046qI1iM4DQ0LZzfFftZf8XHAmhGYstC5irWkKxPGe+64G4fn58Q6RzxA0EPoTNUOizE4iZcUOtrGSCSYj8fcOa4MJ9dsj5W60US2UzLsqC2TADNmn/H3iYAvcggqk6jCobiEG8RMuTgiHGJWHXOvrMJ+xjICZuyJApAvUSlD1YsGlZCECjiNk2FC8UAmujltmMyfYnECrZqmK5/JYtrsIpiKhojARi/C+pn5RfUb1TQM7mczqxd61ASJ0oxqHSqkaP2TDErCG7GyUsHIRlaGAlLgRzDJAH9hcTIJp+KN7xdOx41l3pswUVodxdQq1wmbRhmmr1ElJwUahcWZvzi4vjJJZx6bNBMXrCJnxmHKibwhyinaTUVNKVZLZpwp2wUphEVUQgqPhUvlr6CmHEZGYFJYogmTaJkn2JW6Cs0SIMTcM6r4VNMUuyLLVbg/mClmEALmbOJNZFvoBjQ0QkgeaGaRGfATBZptIUpSuK0W4tyA77ehRAm67U1Zx6tXlpBao3CdBmKvi6sXLmJz0IdZn8NYvY7UD9Bvd0SlHCcqrvRoq+7JPvX6AygJyyNSJASCSgpvoAusyoI2NJXtzAS1NlSrjoRKO1qN0wQmFZIEK9yPho1avQbNtQVK7T9yVJTIfhxiZXMNQaKhG+QIWaxCOKi6UkaSwoamsajExNrqlWJdMl2UWorGtloqd3VcOvs8WpPTAsxszYRL2MnzKkhgmpFYXwmRacckiGerMTNJNcUVYKnSG86MxiSFR4UdQSZz/aj602059/2oj+7KBmJz+3wLAuQ8RgoBmyHnATMJqb7WNILDJgxm1TFXMS3s9FSUUqpL0Z9Rc+QBE/P4qPAlmCVMTCIPKYt4qNrjgwBa2Jk3p2iSydgkfI4D6LqOum1IaQftvU69jtzVodcaMBFh4BOc0fjNbL8UqedLQZE0JGehbLNj8FzOofK4UJkbZ/IwxGCZjdmQ48c7VJwRkBIyFhmhrJwJB9xlGgxKj/m9fHhBe3Juy9+F3EdZYiHLNWS+L3ZvKg01O0VumpLradd5TfEvfTapsxiK1tniGlL1CFqUwUxMuLRgh122jkiLvRIHci4wj5HwktBPyQlOec/hseQ9hLl6hLu0TLOBV0G43hcgTtU0t9tUmAsIuKTs7NPoBKLW478TEsWWbaVK3eIx57aaCVRbRZDxoZiBLCFgLR6A8N8PjrWbybc73vpRgp7hUVXJVQcVVwRv1c9XM+fK35etvdX8vqqCrlSs7ZRXx8lW9c8lDKxm/1UtulXbaNVeS3hXQqkqBKzCO/6ck4/qBKT8eVUdWN0WKgqHwRT3S7k95fpVP1dVEFYnfdV9UAVl3MfyOZZsbNubq4P7k3C2qjysAjX+vjxOJcTla4Sa1yoBKcewmpD7cfg8qeYsVvcRP8v3V7MTq5mFw5CzPK5VpeTu2B1v1KgWMLyelttrZccNL+/tCu/+JCgHhxWW/PVTf/u+V1z3l1PkXY8F++02Pvo2UAneiPV7LdtxwyCf2PPqwMpiG2GuYMNLYboqGq6B73j/+yWDbH2lB7QLG9CJ6X1QLGYW5Xj66rLAhGcuLWO/OYLLXhvtgY93HjsGloWOjtQYI4WNfh8KWyDjDG6NTYhAbcTBe+68Hf14E2cureHy+gKyQWGdtEd0fPxTn0FnpYM7bzoBP+vi//73v4tOvoX+ho8pq4acOUemiQ8/+ABqpoHljQFc24Kja2hvrqNmm/jz3/aNuO+DD+Ds2SXkQYY4zHAu6uOxs+dweP8s/LUQk2YDzy+1sdpOJTevH3voLnQRjmswXBW/8Du/j2+/+92SDffB245hI/Tx4OGDGDepgqDVK8eLp9cR9lOsbHmYnBxHqGSYcmpiawzVCCMTI6iPT2Kk2UAvCTE3XsexA3vw21/4I8RBjk9/9hGs+x1MuDW886574acRpidbcOoWkmwLltUQBU17K8VDX/4kzKaOc1cWsHyhV+TPBQye16DP61hDJDY/rUEglsNoGKLqmJhpInUhJR2jrouPP/o76PX7COIEncttRFu+/H4p6sAebWCzv4nPfuUU2oEHtamgFw0w49ThqiZiK8PFxXU8cO/domSst2bQcl2EXQ9zrXHM7JnBWGzgrhMHpcSjF3k42BjDrTfdBL2ei5JzTK/LuRX4Mf7okS/hhXNXYRsqyNfYVksaRS0a7X6cVFPxwyw1ThZTBtRzvqlRTkSbZdHKSlWRWFNT8cmJmkTspZK/R0toKqoZbIM1Tk6p6qNqieCraO1NkcTcY5yiEz7xPdS4UFFHu2AqOXGFN5dWUlpaSdkod9PEOspfKYsOWOxB1VWiwDKoyVNFqWhqLOxg1mAuJRb8PrEk0wqXFc3AoogiLGBGGZPYOOcmPMs4iebknlZmG6api7pS1Uw53gx0o0WVwJxNpQYbb2lHTmj9JdMlyCEMYHOniPdg0ebIfDdCSmbEaVwmrYNkEKEAjDTVRV3F7aS6ivsv8X2xD2tU0/G7dbYbR6J2pG2WYEeyx3JmklnyvbTLBrK/VFkXqrksyxRVFEs0TNqK2eSaMBszLXIRCRyobORymWnIQ8aVpzU7Tyh0lPODZQVEnFQhW6ZbNPtmOWwWNCiaHOsiIjKBZU+g2WxgYqQFw61has8slHANodIDohCGXkO+dQGD9cvoDgawHQtJwHw9iNpZU9mYnGBixIDhjghMpmVc8vIEckbFL+Yf8nwzCKZHcOsJqjZJyqWdRqCOFIgQasahZDNymzRnBMh8gU22bWByelr2ge2SZOYIKaI0Y+j2KFQ297JZOI0xPjEhGX261hWrO7c/1XXYZop33n0HDKr8CM1oM00KxaHW0JF4JuJQQbs+BjRcjDXryJIB/KgAf6kSFnl5LGeBLrmOzE6U48CDLBmYFnTLRb3ZgBIpiNgkbdMmStBDpRlbs/lWA3S8Sz8Lm4mZd8esOoXnTSTlHLTmMuotDgKkYSAtJZptY6Rlot500RqblvO91w8QU73KTEruzygo8vr45ILlKoqGfrx9fqRRUTyRZ9CZe2fU0BoZFzuvnlNR6CAD2+T7cFwHDceWv2gtx5K8vUI1GiOi9VuyBtkyHIhKkVeppSRwdLZBGzCawuRhqYlEXshf2dwM24atKRhEvuTHMqIioXLYCJDprpSIRFksjdbMrORDr5BZmmomsRE522yZe6klUFVmyNoIolTgOJWMfPCRqXW5DaksyjapVmQ5hycZsrR986GBW1eQ85qkgNO2kTEX0tDkXHLqRWtzrjULtaRhiEq5H1FBTUUl11tBxHUcDBDzAtyOD9CpKmXjd8o4R18s97wf0xLO40coy2KT3bE73uoxnDVXvsZRBUblqFpcq8qtKmTj7wmTStDGUTbQVu2l1VKNElJxEkZgVqrBqgUfwyCrHCV4G15fgruqbbj8nnKU0Kn6Wvn7ajFHFUTy51TNVde9uvzqfi3/S8hWXR63r2qFLQFomfNXQkruowc/9M4/pgDkz7hdBGwlZKseN+6H4e+nCrE8zlQ3Vo8dj08J2HjMyuNW2n45SlhYzfqr/nn4WFBtU1qvh382DCvL79kJNO+O3XGjx7UUedfT1Hqt1683a+/12EFvxLieYpDytbcDBHwlW+5ryTkcblV+ueW/0ve8HbP97rtBSse3i3rwhkG+WX0U/VUfA8QI/ACh3ocWq+j0fVxeuoo7951As2Wjnqj4utvvwfmtpaKlQJxhtOelGCgetnQf+9wR1DUNFxc38MDNt2Cj3cfk5Cj6vo/1oI/GZB2hl2CxvQ4tAD73xSdRt124poU6JxyDCJlNYKOj3/Nwx9HDePT556R04vv/p7+AA6NjmB9tYbHTQR7GuO/Ow/jsY0+gq0X4nadPo5+EoioyLQ2u4eLp55/C7338Mzh54qBMYObqo9hnNzBIfDy7cgn3vuMWXPU7WM26ePbieSgp87pSnF67iI3lZdxx4ChyI8fHn/4Cbjm4H6Oug3eeuAXPnF/BCxtdOHUNcb/Iaut0PGgxMGqNYkJtibJxZaOD0VoN6yubuHj+Agaej5piYGLPAVxk+Ua7i1sO3ow1b1PsXBvdAS6dfRqupsHzGOFU7NvU78JtcjYeYy3q4s7jt8OxNHzfd/w1mTRzRkWhVrKZQ49UhLRH+rQAAqmXwQxVzI2O4uj0LI7OTWErjtDLI2RGjLGjYzh+6CAGXoh4EMH0VIy0arhp3wG0TFcUMT/2vX8F/+Vf/m9YC3pYv9KBGlLkkeCLp59HqiRYXVvG4mYbOsEigNXNNVzpd/DE2YtSvPED3/YNuBBu4LlzL+LcC1dgsLE47CNnkBT/P07RdG1cOfsw7Gnazdg8kEpDLZVIUnjB5tGMWVtUsWjQc13gAKEcAR0ty9QBsaZXsvOoauPPqHijPxWB2OlEwMKSBhIvFgxIAD4BE3PDmGtH6y0ttTS1FSUJKeVvDMFn9honvMR7uQKDOXBkT9sSMoUTWr4/CqHymNBFS8uqwgZR2iU1gREUEioM7RdBIbPhtAKqaank5rH1lYof2oaJFfg9lCzqOQPzM7FhqrQAqwUkYFYhwRaFVgShSJmJVqhwWHjKUgLaWamikroS5s8xT4xKPJ3lmYasM+GLoRNcMCeM4IV2YYIgE5rGXDYeFwIyQxSVko0oZQYM66f6kg2kbAA2BaSRIIniKIqLDDWNQAtin5fcNu6AbThHCBTFqSi8CBO5XwSmQgeFfSxsoCWUOYpsAiZSCIOiJMASezLbElQooqZKENEqyIw+NRblF7eJytlBSJVWjnTQw9LaKrRaTTLlspDrYUCJcmz6baRswc00ycCzR/fIsXPrc/iaD3wd4oEvMDlONXQ8BQq3RUpdWDDhiF20gEqEfiwjaCAKMkThJh59YhM09aYEc+TCUj7K3Dmes5m0kSpsys5D2adFPyr5Hm3mLFChKou2byYfAkrUR67ZCGMmHAKaVeiq3NQVpaecr3GKMLOkYMIf8JwCBvQaUxnGHEee11bR1DxOaJVluHh1CabuII1SLF45j4tnLxTlDLyuyHqZsRgrYmsl9DWtWM4RNs8muY7UVOE4zrZyNkGaEfQI5obOzDi5Zph9yQIUvieCH/Aai0VV6riEVLace7zuYpYiJQE8nzmlNQFpKhWy0QDt9Q1EUYaeFyOJQoHbzF30Y0YMdnDu7CkBt1TASmEzC3xUUwo80jgQoJdaDVGu8dECyzZ49decFly2COs26iOjsFATyC65mwGldTziBhKd1lQeVYLNFErsIwsJyVnRwZzLXCzoVNPmPT4YSGA5DvpKDstgtl6INDLRcKh2zGHkJhKDSkaCuRyKY4nNmgU4UqLjaAh5/yKUizzYtQx1tlyzuMOkajdHzPzMwIfiAVoaQtVc2bcEsrxveIOczlpoeY4C41NZqUpBShKGsOo2ct7PqPBLCPO53AwJm6oJPlkwo8ZFIYpjyj1H17nOOTLPQ8ZzRzdhJb7YnzWW3xDy0vVviOx6d+yOt3SUyjOOqvKs+vMS+hBulbBqeFQtpyUI42c4WeCfSztsCXUIm6qWzxJilUUShE8lOJSiiEqWXakIKD9DsFVdXjX/rsz3K9//UkPt9vpWQWW57VzeD7f+Py9tO99bgrCqEo0QroSYw/bm6p+5/lXIWVX78fcl4KoqHav25HLbhy2yVehWKvSGlYvV7xn+DJdL4FiuCiY7fQABAABJREFUG/dh+fkSOFZ/X4LX4VKT4XOmtDaX21XNKhwu4yhHWdayO3bHmzF2UuLt1Oj6am2eLweDrhcw3YjxWksoXqmU5M0er2RzHn7vTr9/pXG9qr8347gNq90+VoFt16OEu1FFKG8X9eANg3wLySZGmg4mW5yIRlJEQevlYC3C1c02PvnQl/G177wT690Av/17n8PSixuI1kJYEwbccQNH58dFxTXhTOBiZwtHDx5AgD68Y2w9VdD1e7jSW8HXvuOdaDou5qam0ctC0UmNuhZWNntQNQWJAxw7sA8zzaY0BY7PjsCmEsUB+j4n4AqevnAVq+4AsyNNqFMmggA4fX4ZWqCgaTYwM16HnlsCvPq+B9tS4Kg6znvL+Nq774DrWrhz3xxU05KJ7eMLZ2XyMmeOiL2oG1BJk6LX9jCmtvDkwkXJQ4suxnh+bQHxRAtfOf0MttZ7ovqLBymsUR31Aw7ccQd6Q0Un7WGQerjn8B0yGa45dTgtF7qe4dDkNO685zZcuPQifvQ7vhMnjh7FM1eexT1HjuJrD94hCrduGGF6bgSx74uC55abDqGtRIi6cVGIoDK7K8b8WAu/9Kv/XNRZVHukvRQT8w0E0oJZTKJoP+UGMjS/qRswwhxLW33cPjuPKEhx9PB+bL6wgadPn8GY7Yp6JE0T1BMXV7vLuLK+ik4Y4PxTn8dP/i+/gL/0gW/ExIExaeS96eAU4l5Hcu7Wt9pyDGcmx+ApASbGW5K9lacZjs7sxS9+4rdFSam3NNx8aAajdQd3zs/iG+9/t6i/mqMWLF2HkQB7g1UYLotCCL6oDmK4PWmI0DIBI1SEEVTRFkk1INUonKDywNNex5w+XTElRJ8quDSKJduMofYkdLphQSNMIWsiKAxjAbxUp1FNJ5leLLswmWcFGA6tpCwpJeTgHk2ga1TZMNDeEHWXFINQRUbYw9ZdZvhlqYA0TnaZ1SXILLNEnZbmMcKU1s8id0xKC1JdylSYYVWo+1hKweUUeX7ZNvQUhR0PMK2VGUtDOBlX5dzQmO1FKMqcMrJPgxqxoohE06kMLRqIiXQIHaiSpGqKk39mxKWEGHyd/1ZlFiG9toQZtPnRGs5GWeYAMoeOPNFLkBumlHQobJAgSKBd1rRARMV9TEu4tMaKQRjb5j4Cn0SUYXlkFOozWqf5vYS0VG1aEoIIk5mKhEUGowBoOQwlO8+osShBg0+IyLxGU4emEz6aYFQb7aEsHGBTr7Tzcn1DFnMoUK0Udm2CyXEC63jFWG4L/W4fDXscM24o8HqgBjBWnsNW10BrvIE//IM/RI2qxzhHc7qBmyYtjOsx9PE5WX8pgFAKeyjt11msCZyi67zb7ci1KkUZMGQfJ7xOTBe2GYvKMVcURDDhui40npNJJMUlZp0ZjipSzYap89wEFq9cRUDf/7YqlfFrSVScL1tZguWlJR5CxFR6qsBmEMOtG5jWeZ4YQNxBHKcIogReMJB9yXOc5NH3O1heuoQs7iHVNUxOTEquoxLT/k1rtArX1mDWLKxubcALJOBVHjCYNeYjhgjZ1Joxz1CHpRuispbSFZZ7KJGcywSDYoO3cslP5WWM2BeFbx6yoImsuADrbBpPUx9etw8/DFFzHTRHp1FvNRCHqdi8Cfho79cMRzIObbOJYyfuwNWVZQGlQa8r95cspUqR61HcJ6UPRDeh2C7GWxNwLFcyAH3aVFmwohuwbSopLbmmUoNqVp5/qWT/8WmLJi3bBGa0kOtyL6XlPuA1GvsimSWADgmQuwMGEwAB8VoNJHQDidZMpDk66w+QRCkMWq7zCAnPDar6qBoMcnkoEFMZKKpOHYFuI9aBxM+g0abLBL6sLq3itNXHbJvWVBi2Lu3bCi320uLNauREwDeLWwhyDYsSQKpDE/n3AJW9UtQjhcCFapzCXaqOmatZwHQHlmXBY7YjT87Ah56FkhEpYFjhMYwLRaRh36h/vuyO3fGax3BzLAd/T3UagR7/sU9AVObWcRLBn5VqtPJXaUct7bNVMMX3c7JCUDYMeKqFHGXZQ1U9NpwTWCrZyqKJEk6VFtGd1GVVADn8OkfVBlyFXdWSkBJccX3LCRDfx/Ws7otyVL+PirZyHUrIyN9XiyuGyzzKUVUMVpdfLTPh+nFdqsewOqqZgNV9UcLEnb5zuAm33KZyWaVVuFzncvurQLT87qrteRgcclSP5dtFQbI7/vSNYZXasErr1UKc4eVcD1y6Xmj1etVjr1QycqPHGw3AXg3sey3jes+BV/r5jb5/ffQNgG03Mtfw1Y5Xu3+UXLx5r3+8/9s/KCCC/9yvuYYEut86uQ/Pti9DYymArmBryYO2p7BYHalP4MwiFTBsRgRun9qHzTDAmr+BEXMMlweLcDQH9x7eh+evLgv8urCwKqDgzj37cGl5FZsDvyiG0C2srW7iz3/L+/DwqWfRXWpDn3ZgdRTsPTKLeCnF82vnix7GTJUMPc3VJDg99RnQpEKJGc4PtMZrWF3ryYT48EQLTcPC+d4mAl3BhG1gyaeqgbbDFAdaTVGxLPV7qBka9uzbh3NLy1BCH+1BKGCHwKRhj8DPe7AVGz5D81MVocZyhqL5dKppY33go2VRudeBUdNx18Hj+OpTp8QGHSYJ3n3yZiyeH+DFrUuomybCJMIP/MD34Df+n9+CozvYOz+O9koHS+EWjjVn8YVLL+K9992Jrzz6FMy6ga+94y588YnHcc+tt+Ox505hwp3GqUtnYLkGWnUX33DyDvzSFx+WVs9UyzEz2sDli5uw5y1EG7Fk4cHIoLtUVRFwsXaSGXYJGpqDpU4bWZjDcW2xso3Vx7C+tYlWzUFv4GG8Pob5/S40r44zGxfhwsJa3JXWYdrcnMyAMmpLGP6+0TFc6bbRchxEVob+Sl+ADe2blK/pBBhpJvuWii2uK8GahxDH9+zBV555XjLWDt39AJbOr0ALtif5tMtGQZHPx9w8KsFo/9IVsfNS8acRztGOu50lR3hHq6OSUbVDTR4BQi7qSFGXsUAjo5WysIQyu4t2XunAZZaeZksOGRVxOZV+VBIRMqq0/dI6yAk71XUaclpY41gKGAiQBJZRVsUsvZQtv0WTLbPCmO/HP/JYpFTF0LVJmIMMEZuFCerYqMtcMAGDzKdjMD/LYHxxCZts0LUMJCGbfgGdOYTStKuJdY85kJKblxC4FdBO2868E1tsIY0rrLCaLrlqVD8mgS/XFOEsC3k4iScrpPqJE3UeqyJczYKaBqJmZFkJG69z3YSRBAIAM91AHgTQLUdyy5j3yO3WuU/JE40UubT3UtmogTWkzB9jJhsHIW3K48tilpw6I75GdSH3Rg6LoCijOshAzuVKTloiikZat6mvEnsy61Zpf+VrWYqEkIMXNzPgYk+AFoscchYMpISZTCSguk2Fa/pYXdnALfd9HYKVJ6E3DkDp+9h88Xn4o1NQzQxxrsAdceFGOvqEsjxHmF3os9GV7b9UbTKXjConFb0B1W5FXiSVcLSA035sGmbRPMz7meyPEI7LRlgXVy4+jz375pHlBjSqJzVCzhRb3Q7qbqOwWAoEhqyDbdagaDFMyexjCQhBmyLgSMlimFAQzt0LXPkipMOGhTRUpKoZooEKp85DbCMKPWxtbGBsbARRnKM26iBuJ8itDDofKhgGsr4C3eZ5pYK7j0UxvA7YLK6qsajwWDCDkAWsPF94TGuiviNtzwnDKQsmeM5ZpEKloolU70LVWqJqZHuuQrioaWJH1Wgz5/mWBXAMC+12KsUdzLhkkYxba8h5zxw4w2JYoILlxUVMTc8giSJp+OVthOe778XSPEy1L6MBojQQS7KmmgiSAHVCYGaWMmO21hCY7Q0CeIGP3PMBRk/4EaIogWEbUJnpR7GrSVCaSjGNNBNrFuKc5SQpdBvImVkq+0KBz/xOgyr2PjI2E1N+zXIWguzMlvXh9tEKS/Uvt43CYjONpdTEZz4llazMHOVcnPCPRT20t+t1aJT3JbQpq3JO8lrnNZ/0I2Qmm7h5DVMtbIoKkqCXD/uMZhOqx/1RWM7J7k1ay6VFm9cyH+LJY42ibZisMGZbOO9TfTi2haDXE7t2EY9A9s/7ERXFwK/8+397I/75sjt2x2sepXJuGAZRzVaqugjpWLrBP5cwr/rearZcCXmoDivhTgkFq5bbqiqvVPtVm3qr4HCnQahXgkD+nssfzprjMsvv5hj+eQnYyve+HCCrjioMHVZBVu2/VWtxdTtK2+qwXbkKSst9XC6v+t/h/V9+X1kyMpwHWIK08nhWy0h2atUdXtdylOs2vK+qx2yn777WKN9Xth+XoHIn+/Pu2B03elwLzF1vbtsrlW9U8/92+p63apTr9Sd9XC9YfDWKzNe7zBs9Pvaz73nLVHUlkHsjvv969/ONy+RjmyGzesQGCFAEc2FjFZZhYtAP0euFMOZsOIqOCbeOS0oHP/79P1C8HwlsNUEn6GKi2YJjhph3GxhzLDzy/EUkTgrDYdo+JzTA2aVl2M26ZNXVJlxs+h1893d9Cz7xuYcwr47KdwaLA/Q1D1fOLaE7HeDI7F4cmGohn1Ch2zpqnAxGGU7umZZig8npMQQK4G/FMF0qCyfx9fe9G08sXcXRuYM4VJvA1Y6HH/2Wj+D77n0npkZHsZVnOHpwDqPjLbzjyBzObVxGq+Gg6dTo6MMD73wHaqaDXriBmmkhjNjMmcN0dNx37wnEyHDXiZthseBB2lsjKWn49qPHsbWyiTon4ilVXcxTipAaffqiRO1Bm9mv/5dfx8rWFjZ6W/jqC2ew1O5I+cDT4TKO79+Dz/3eozg4sx+j6gg+8+TTePfxu7CpJNK8eOXyFRy0x/DhD9yHm1sT+Hef/qxM2IJBiLAd4/YTJ2V/x+u0VZqwjWKCpYYZUpPARsfth/biux+8H4sbbVF72a4Bp2bA1FW0vTYatoX2wIPLPD/Nw+W1Lp5ePIt+EmC5swk7oRILsGo6Ul2BrbLN14HiNFBrGGj7HuJVThABg2AoBSZHp2A2qdjSMNccgVM30M580HTYXh3guYUFAV/zrSm09Aym4xYlENn2RFllBmJRhkFrLUsdUubaccLOkHlOIqVsggY51k9qSCW4LxNYx5+zkZMgIOLEmADCYCYeNWWEQDHyjEeW9kW22LLEgplXGXTmr+nMt6NVmGBMRUI7HpVYnPZSzbKt5uOEm8dZZXg+z3uN28ClZts/J6Th016qDTOxqNMOzJZbk8o/QkC5wjWx+MUBIakiMFsxLZgS3F/YPFlWIOo0yb4joOcX6FCpuuM2sRFBGjKYT6giCqh4CwWYESYxlJ+QNAtDxH4sQDUJaW0lwOI+5rErbMqcnPPPBJ2EL1SLcbm5SUiSIw89KIYj6kmDJRuWUagUCS0UA2bNFQCRpCHyIILGNlvutygVOCt2aAJU2laZ8cXvT/pQMzYO8z0qMpUNqCa5ogCPVHLRuF9jOSfY6kpLKHMQpSiBx1OswWTM0m6BOE2QxhEUk583YVrMJzQle5E4Tg06UMJNhJkO3RxB0j6HifGjWF28ipWNTfQbc0hph44THL35JHJ9VGC854dIIh9RxFZZnmwJoojKPMJMA+6Bm6XkoMguU6DQHsu8uhwIWc0qXCiGqcaF3Vzhg40Ihw/sRZ4RltKeTSUjoayGkdaEqMuIp7LMwNLyEuq0lmaxFGgkQvRTtLsDbHa2EHvcF5moUu8dW4FKmWTGXD0qB4umY8vl+jJfjvmLBiZm50X9xpKJoOtjaXML50+flrzKaNCDUQO22hvFvqaai4CdxTSqJ83eLMERtWnOxmfa03VEyQCwDcT8y4ZqXB5CAkneSnVa1H2ajQVORinzAAMkhMa06fN8sahAjOCYo+gECrzeVXnY0rBNOMxoJASWrh5L7MZhmKAxOomtzfUin5NWURZGRBl0Xjw8xaNYYK3tjEgBB7MPR+rjNO7ygkAQxpIvyP3MJloqEmlj54OmKEpRs/nAK0bKhwq86fVDsVmT6PG+E223WTuGKepMxJYUxyQCvrmNCRJdZwKp5DXqDnM5HVHu6szctAnnc9i0oPMhhZ4h0xsIQp7jxO68F/HBiSZZiwT0VDgLlE95dFNYVow8IvnnvSREZjsFT2RWKU/XOJaHH1yORTu4N0DG7FOVZSNsBmajMx+IqNAkPoAPAgggLVEIpnxd6ph9mPaIRCJQCU3FoDRN867MbVUtaezdHbvjrR7DSrlylLCIvwjJqtbRYVXcMLAi4BuGcwQ3VXtnqUQrm3Crarqq3bZUfA3DtnICwp+VJRVVNV25zKpVt1zOcKFGCSarWXPD31ct7hhuBx5W0A1bd3dqjy0VdKVijqCrVFVyUlUuv1RSlt9dhX/ln8vvK/P2yuWX8Kw8nhx8rcwUHAZ15X6rvlZam8vvrTbnDu+jqrV7GPANKx2rv6+ud/U82h27481Wh71WRVrV/luq5d4MEPRqVVmvR7X4dsjpe7Mt29car2dfXEvNttPrH30LbbP87rfatnvDIB9n6635BlotC7GdwRrkEjTeW+9ibm4KSS/B191+B/qbIZZ6Pbi+hX/x8f8Im+oPTcWz6ytoxz6urm2gXh/FwnobNb0pagBOMjohAZcik6pOO8Ta6oZkg90+OwZ9WsdnvvA5afR7YXUB991xFJahI+6n0MZUeKseksDD1W4XSphictRG1/clnH8rVaCbKjbTLsbqDfhWip/64f8RZ9fX8JuffUgy3lZXVhDbLjIvwX/5xGfw26fOQW8p2FzpohPG6A/6ePLsVQzWI8lYWljv4LaTR/DVR8/i7tvvwvj0KDw/wMzkCPa4IwIxHvqjU5jUbTz17HPoUYGk5Pjme98lapDfv3ARa70uerQlKSnMxMCY08BmkCL1iUQzJDZDzx2ZhEnUW6pgJK3LJI6ZiN94z7tw+51HEIcBFtaXEEchfvhH/x6WTl/Cex94J6ZnR/C1H74TX334PL7aXoTG1gRypRjQXRW/+9kvFi2ySHHr3Dy+4f6vley7wEswY9Qx1xyTtoWPf+4JqDUVJw7OS0B/1GMZBDPvUgziABMNCw1rRAoLRl0Vd+09Kq2Ix/btgWU42HN4BF4cIzATdLtb6IVdrHeW0OkM8OA7b4bR0PCOO2/G3ukp/LkH7sG+vTN44MTNmD+wF5uJh5Oz+6F4zO1qYm5fC3WTqjYdm5ttPPHw52GOuNDZpqrS2M2cr1QmtIRvkqfHP3BKz3INZnMxe48WSareqK5LyfliZCFlc1QAEq1walrYlxlgJm2dtMOKJZXvMySPjOCDNlEKYzghZSg9P5khR0AYJcWttAXrApBywoqMMJtKGqpFc7HbMqOL8I6KNR4THm+xvqqEcwqiiNRVk3OFIJaKKhYvsDlUiUK5Llj+Utg4CStTZElpqw23c74kNa9QqomqtSjIyWKq4go7c3G7SGDoBIAiBUTOwH/LLNSPtPrSxkw4J5bX4jMskGCTLNkhm3XFFs3JOlVyko9YFHDQhEtUysw3QgqCIh4DFl1wPp9nhIh+YR+2FVELUwVE25/mKNAct7A5gzZQqii5T/i9WmG3jqm+ZIZbitxPJPMNGZVhOmJarEMNYUZVbw6DUDK3Zd8RSKgWD0pcACWoYAe0JKWxQZYQkuUIFpvDCTZZstCCOToGP6Q1U8P6IEU2MS73n9xxkWseTMJT6Lj43BnY3U2sra7D5PpuW5AjnmU1ZuKlIL8LkGHzxecEfKp5VOQ+cn/mCdwGYRtBDM81qrBY3MEdnmF9q48ryxvQdWafmdCzDCG3n3mJBM1lKYljYGp6tmiaJsuMBCMii3U4jSZargnVSGFYKXrdHF969gLSsIuA2Y4ES7QBZ8wMZGv5APAHSFIfDHSkulC1aLXMMDVSw0133C7XilNvCMRyLRdBFoqilXmOGptftZoo8Ir2a03gk0pwTJUci3HYIsMyDt8X27pO5RuhUUzFKb+JtnQ2w7Jduyi9kHzNOlt+IVZtZlE6KjA1dxABFXpsemKPrN9Dkha28F7cg8IHBkqMEbcFJY0Qhbm0DhO6U9lKWMx8vrjvo9/rwbAcUSIOQh9eP0Tf6yAMAkRU9Uae7NuiWZrbUCj4QsmcZAMubce2tOga2wpiRiy4YlWn+juW4ws92W4cZiAm6795ryogPd3XtHjz3OR1qVhsaObfJwoiSi8thR+HY9IKzvOAqj1Nenp4zxtELEgpiml0eMi0upTbRJnDE12OQRTxAYQKgw8gjAQGmFHKJzLbuZ68z2QE9KbkOspDkFZT9itt+okfIqP6VHcYY4gsiQCqINmQLEpgD2GqI4gLRW0acd9EAnPp5OXfdbtjd7zVowrHqrCqfJ0quWEgVJY7DNtty89xlFl11QlRtXW2mndXLmenoo/qsndS1VWh4x/9/mMvvV4FkeXySphXXX4JrQgmqy291YKR6vLK95clI9W8u/I7dlrPcv2pqBvennLZBHDchnKyx+VXm4zL91bVk9caXDbB3vA+LWFf+Z5XUt0Nqx+rhR5V9V65PlX1Ygloy3Xmr7KMYzgLslyvnbZ5d+yON2K8FlDzSm261/rMGwX8Xm0G28u1Al9rvN2UiOWobse1jssblef3eqzP1wJnpar9Ro+P/QmOQLhhkI+ZTFqiIIwyTFpNrCURgqQnqjWq6RRHwyc//xWoroa6aWFmdBLhIIZpERikSEwDTq5idmQGpy9chaFasGsaDu+fw+ZKH1k/gRooUF1aDDPsnTmIY9Mz+OST52Fe5WvMOMrxwC3vxGefPoWWU4M7bcDb8LG1tIWraRs1w8CxqX3Y09qHqcNjMMcNdII+7KYKI1HR7vTgOgYe+uITmGuM4Oqgi3ffdjsO3nIQpx9/Fq6h4Up7C61ZFVde3ITVNJBECbp+gLX1gVhYN7sD2LaG585cQmjFeObCM7AmTsJUTayt9OC0FOReIBbZzdBDylyslgU1zvHLn/1DKFsp7MSGn4e49+QtiNhC6NBCmWNrc1Mmg7OTE6LIOjI+Iq2kVLoQqjUnx9GyTGgR8JuPPoznFy5gYXMFdx2+CaZKNAX80Af+PLrLXdQbJv7wj56B4aT46A/9EH7kI9+Fsdm6AM+cSkGTAKmw0D364gX8/pf+QIAArZWXLqxjYnwcz5y7gtXelhQRdIIQk7VR1Ou2qJw+/HXfjJsPHoGhNRDlm1gL+rCMEXxl8QyMRMdidx1bYQ/LS30gVJD6kVhEGfA/ojVQbzp4/vxldLsBFleu4sXlq3j22edx+vILuBJtYOHSJZiKAmukhXtvug213MHmho9RZwK3zJ7AnpuOoNWoiQoxJ3DSWIhRZHkJptO1bVGkIaod2jMT2vOo+GO+nthMU2mDpDKM2WEERyRUkp2VKaKwS0ELINVGmeT88X+4q3MqwlQqYaj+M2CIHZQKP+anSWtHYXlmeD8trAynpy2TaCdJxMpL2CMQhhN6HhMyKaq0CM8YQC8quBSmmcJ1CcoSsbwyH4+qOG4rVXgEdcRcLOSQxmBOtlmwklD4xkZQTvQTyUGTHEba8mLiXcJLk3WvkpnIkg6CAEIlTv2pcKQqjpvK0HyqVFkkQVAhXjraCtnKyVZgnlfMI7MM6MzTItKjN48lCwQLzP9ifiIVVqICoxWcFbSEhUUhh2Y6UgrAnDaqKglX1JQKSBZQKFImQQBJSMD9pDLjjnCQe5JlIAYhJlVFbPTMpSGWaNNQVFhqoXQi3qXUlcefuWME11QcUVHGQo2cHcsErdRqWbZYMtlMDBZl5Cq0miVtuapdR9Dpw9IUNEam0bRbOPPlxxDqOeJBGxo0BKGH2vg4xu0EfaopcyAYdBALCiPkyJEQzOhUhTIzr4C4PLaiFzRYngHA97G51YNpOaIeI05p8OeERQrQajUx0hoRlZXKfa8RrlkCUmJCStqOFR0KLaxJiEwxCrsyoV2cQdc9ySWkesqEhtDXoZoseqlBtdjAyv1hibIxjXk9mXDNOpLUg0p1rJrDsWzEXoCtXg/Lq0swCWd5vXCDEg+WWwOr1AOqPfNC0faSNT+I5b7P85n2UU2KNnTEmSb2ZVFzqiaSIAKiHAntubzGpERFR2Sz/VWRchcptPZ5DvD8pq1Ueek6oYWbj1Bi3hGiEJEXSJFM0O4i81Pkpo2Ezd1U0vF8YUkJ1aeaKk2vVtNBROWfqaMbD8RGy2OcMDMz1pAGnrTNMmMv225LNp2W2NqpFjRtV0ApFaVaEkJjeQjPRYYENHUkEtrJUg8q7Yr4gYwNs9vqVE2PZFtMm9BbhzoYyHXGFmDfC6ElMSzK7doe4GdIVQdhEEExivtZIiVAJgzK5UOCO8Coc3tMeVhAQMpzUNdCGCx14fEzqTyNUVN1AXLcL2FiwdASUR67Olug2aasIbcc5IOuPAggtDObTQHAkRTEcN2Z68kLPJHWXR4zlvPw3wi6TrhcPCwx9Axxvw8lY4Dj7tgdb79Rgiqq7whchu2hVeVV9fWqCowTixLiVC3Bw7CsXEZpA62q6MoMvhKkVZVzZfFFuSwBhj/7M//NepSFH3yNgI9lENXll1l+VaVaCR9L22g1Y7DaGFtVApZQk6BuWI02rJDcSa3G1/mLbbrVluKXG1V1YnV9yu/cqRxjp7y9YZhZzcsrv+dadubh16oQs/o9pSKw2qJbwr9yvcqcwmtB0t2xO27kGC7MeKXSjFdTsPFagdjLlT28GVlq12qrfTuqEstRBX03al1faVnV/XQjFY43Wjn3sddo930tYPCNgIk3LJPvw9/7DQiSGDPOJI7OjmEh83H+3GWMjzfQvtzFt37wPvzBV5+Fr3CykWOy6WJxo4+xkRrm9jdx8bk2ojxGEEfQch35JDUutEmqSNc4YRCBBcadEWwOtnD86E04ffqMqHimZmpYW+th3+g+rPvL2D8zi7MvXhU7HKHH8UNzePdN90i4+acefxLQBtDhoN8OoLsJLi1s4cSxg1hZX0Ov6+P4zCzaYYKtqA01UfF97z2JLz+/jtPri3jP0cO46eAxzIzP4N4P/Xn8/L/9afynX/8kWuM2mm4di2ttjB5vYePiJlpWU+xGtJamao6xZg1dTrw0Hd3VgTSfWiMm7IiONxXfePQgvnp1BaZdxzMXLhS5ZaqCWtPEu99xB7701SfQajaw0u7gn/ytn8BP/szPiJ0y9VkuoCLux3jf3XcKwHj4sSfgThb2vM1NHw/cdgvOXF6SLK1f+De/ivNPfwKH3nECpz7/ZSxsZPil/+c/YUCnYpahkyRwbNqEt3Oawhy6o8PzQigpFZoq3n/nvfiDRx+VCW2fBShRoQDhtio2JJvPVXQsrW6hZjmoTRq4o3kUv3/mCcyMu9hcjTExb2OQJRhssqgkEZXViNpAV+mJhVTJFXzNyXfgzMIFXG23MebYAkSZ1zaIPEwbYwjCANNjEzi/tCDf/cPf9/347d/8HM52z0jT5/Fb7sOVzRThVhfwu9LESdUk7XBiUROAxMwzmnSpyqH1trDREZoxdwrMtWIZRNYHFEvWi8ohsU2KIpA2uExsalxvjUqZlAq+Iq+PwXqKBM8XmXpssGV7LjVD0hTK5XM/ay4if7Bt1WUzryWWV4bui9KFKpmY+Xa0xlH1QquuOHJBjQ9z/BTFktxByfZiPhrthIYhNj8WWHiRCSOPkdOSSIEUHZ7M1aNmidcYrxmWboi6jbZPZgXSqk0EQgtpUS4hB5t7TPL4WJCQSqOmSQUjBYxhKC2ZRE7kNSxEoOqHjZwEV2I/lsywvCizYE6ayTZTXuZUL7GhWESRSBVaK0Mp9tAMU+4FtCMTrnL/cDlUINH2RzKpqYQvzFSkSpglJJHsw9hPWOcp1keqgJjzxyIBKj+pNOJyCYMDqpcMHYz1DwgLNdphWQrAHMdCGcVtj2OlKCShzTCKoLIhlMortu7ynGIfQjvAHTcfwpWr69DqETyMYt+shsUzK/AjSv5qyPxAgC/LTAjT0jQAK0tdU5WYA5bRGEZd8u4k71Apsg6ZZ0ag7LEshDZQxYWiZbDYDM1iDulDUBFHHjbXVzE2MSWNxby2WdTBkLssqcGauAlp+ykBiwuXLmJ6ZBzN8THE3FEJjx8Li2g7dpBng6JFONMEdmXcH7aK5aUVTM3MIo0UjE9NYuGFM9jYXMXc7F6YtZaotKjII/QknaYKUjFaSEUlZyBlswdbfOWYpHCY7RZ6yAxdSlyobOQDgIxQnISaCj5aSPnQh+3azDK0zaKx1naQRUHxOTWCodYQiN2UsJfglmrWEKlmiYrO9+jQtuDYKeJBApUSW4beMVCB2Xt2XdaXWZumSqs280mp4dMExvHvJbHJa2SMuiglxb6b6QLgFy9ekuMwOj6FVmtUcjvJMtU4gu6aokYNqCxXVAzyGIZkfvL7qMDbjsGgUpaXaEYEyb4VtXjYEOaIFMLgRFSame+JipAQzXGkfQZR3yuawans5PXJcg84yCzecwnwE7Ggs+GXgkAqnmnV598jLMGx+TW8dBhZwEVGmQBHhe3YXLfQh+Myi5TAk8clgMa/aRTahw0BkbxH8VqkApixAjxUgVeogXUqZBnbYJnwfJaeFFmTCRxp0+X6ETxbiDEIeE9QYao5Bl6K//Kff/FG/PNld+yO1zyuLDz8x9RXLNsoQVhZmFGCr+vJXbuW/Zfwhsst/1u+t/zuat5c9TO3TDwi8O5altfqepTLKcdwXuDw4OSHELOagTect1fdnhISDm/ncA5fdV9Uf1a+d6f9WYWfO21TmXM4PPj+aj7htco3rpW5NzyGj2vZ3Fst9riezL3h7L6d7M/VdRne/t1cvt3xZo4qqLnR2Ww7WXdvhJ13eBmvV3F3oy3GhHY3qu31zbI/D+/Dt1tG3xt9bK4HCt6InMA3PZMvCBJRxMDK8OULL2Lh8lWMjtTQvtzDyZN3YrG9iSDxMY+GAAtmsH3dO+8QC+4zTyyKgoBlFif2HUF9xIbhs7VTQy0xxa7HNWVRQjvuQ0sNXNlagOaq0Gs5Vq5sSQtrN9yCpqa4vLmO8VEXJieFpoKW1cCvfuH38R8+8ym4RorNzgCLG6uikrpypYu/+KF3Y+nKBkI/xlyrgbO9ZUzYdURBAL8T4GIP+N//8T/H3/+ev4nzC8uyHv/4X/8bXD33FJZWtjAzbaMx1sTeiUkc3D+FO0aP4eDcHJoocolM3YJtaljstnFkZhoHtTrGxmw8cPdt0mra43Qmr+H3XriInqWh7ytwGi5GJ2owc2BWd/C7n35YyieYmZcmMf7W3//HYkXsdgaItByuVsPx7/4wNnoRHn76SYRZIhlR66seZvaM4JFnz+Do3B5cWd/Ej/7oX8Y//Ln/iL/2tz6Kz3z+q3j48Ycx2mpBa+aImgrsSQMRJ+K0lLLwwMgQBAy9ouJFw0fu/Q7MTU2JNdFPogL85DnGpupoTFpoGDbifoj1Thfj001RBiaLGR5fOQeDSk69hVuO7pGcPQc6GuOWHOM0SpAYKfaM1WRCy9y451evYrHbgZFSZeLg8L59ULwItdSAY+q4Z/9xLC0vo+ZakpP3q7/52zi9cho3je8T69/d4zWxO1oNV2BVAWh45utIFGIvZsQVxQu041K1V1h4maGnIiO8UQzZFwpsUcpIRxzfy4w7Iqm8eC+JmS0WVSrVyPN0qArzJIv9Q2hK1QvVZ8xii1Ni7Fj2Hy2gyDzomi6FGCwIoIWVOYHMFCPgYimKojOHK5Z1ol03NVKkhMgxS0MyGGyytNlqWzRe8hqitopqPckPQwjN1pFJ2QYhCAVTujS5cp9keh2KYtL5B4PbSPsg14/txDzO5Ckpm0yLHDeq4UjWCDDFGkwLKy3R2xmOJGe2RZBnCo1kdp62DcakBVeADfdjKrZBnVZblg2oNN3SmkkW5RWWY24nbaiqCp9FJGFExiF5e2zlZWusQMGUCkiC0KSAS9sWVoJDAqJMiic0KQcwTUXUcGIRlHKXDJbCEooMAW27kkfI/V0oJbnuYs8kEFQ8KJouRQE8rfSYTcdFm3EaxLCjHHbdRl9z0BhRsLmWoBb2sXBqA4plw50bhaVuyTr3vK7cjEPfFxsx89WCkLZFGsdzRGGINAzEFktVKdVgVHjS/im5i059u0CGls8Emc7cPGYbsgm3hpk9B1BvuEX+HuG2SqDtFoqrzacF3rTGRzE5OY2kv4jVzTWBSdKpzFZa7q+4Q1qL8xcWpEW1WAaQDAJMT85JlADPkSiooTFax4Hjx1FrEZLHEp9g61RnEcQxNW4ESkL1JoWjVClGRc4gFZMJ4AUBYsVEzOZVqm9zE6lfFK9Qg2dqCVwq9PwQcZ5I0zDRFc8PxJ6ANClfTVW5l1HxZ/B65HXMZWiuZAmatGKrzMTryAMeqnXXtjpYXTsvhR46vyNmwYwCS43hpw66g65Y4bU0gMWimcH2fmBhhhTrZIj8AJ1Bt1DZGS4ctwm31kQU+gWcZEakpQpcbLZGpc06olqT5zXPAVLABFCCUPYT7am00uu5AovlR5oFJSSsLGyuJlWnLLCgJTqPpEwjjlgcFEsOKP+uY4s0FXW2YSFX+hBdKpWdEW3tLKFh9idt87zymJGqw2YBBlXLuoqAtmtaxWnbrlPZydtgCrNmSmtvqtsU7yI3XMkmjQgN2fjdsOTvOR4LjSBcTUXxb9UoUA5hMbMvSRGHHnSLqlW2NPOcS6HFMfp9VZSsIoDm2rG9nipPKqF3x+54i0fVaslfbJGtAr7hBlqOqgX05XLsqqNspy2XP2zzLP9bVaURalHZVoV0pVKuhET8L9eVv6eNuPxZFRK9lGn3Yz/+xwAXswZLZV7VQly1m1aXwfUpf871KDPvqvuISrbqfhgGajsBvlIFWL6Xyy1/XlqHqwq46uB7dmr33WkMKwOr+7p6TIZBXgn4SrXd8Od3+vNwwUq5rOp7q0Cz3P7yvX+SLWa740/eqKrBdipkuBHLfjXLfCVV27CS7HqhybXe92pfv571JETa6ec3yia906g2Jr/cfnm50pQ3soX49Y77bpCa81rwdRje/SA+/rLveTX36ddyT79hkK9Vr+Oe22/DxkYHaUgbERBuhKKeiNM22st9AQmrUReNEQvhWoY/ePRJtPuB5IxpZiI2oRHCmjyB3aTCqVD3HBsdhxkAWYcKD0MgQmfBwwiacAIGkyuwNB2DgY/OZgQ/CjA9w0lchgmljmcXL2GyWUPLdnF1dQu9TiRQcmVjHZqZ43c//wQ4JWHT7GYWwqIl0zEwPTKKv/Jd34bPPvIE/sU//xl84bFPoxdHePTc8/DUFB/92E9jfQtocyITqPI9vubjC2eeQN+OcXWzK2qLwE+Qduh9Asa0CSwEfYwYTXz+k48UasII6HY6yDwGyKtYeP4c7B6ghLooe9biAH/3B38QbqYhJBActRCbKSJmYSnbE/44xqXf+Ayee/F5ydjSHA29LU6GUmys9XH7wX348guncPTABEbcBpb6a7hv7hievtTGZGMCHnwoAxVxGMNfCKCkbI4FjGZhVR1tjkBhI7Cm4Hcf/4SE/e/ZOy0h6mFAJJTj3kPHJH+qPfDhJQlmnQl0Op4o2gZGgvVOGyN1F3e96248eeUSFtpdrCx10F7z4IyaqDkmwtxDzTXRYL5VlKDT6+B/+nMfwejBBsZrNp548jmYdQd+BFxcWcEnTz0KL4oKg6OpYv/ULP7pj/840kGMRE3wq1/6DOxWXUo39EZNVGqc8JMuMIdOxF+kUczO44ScUIHQiSoZhr1bhkAilYUlnHdTKcRXqBRjS+R2QQZdcDmtqTLvVEU5Rq0UY/iikGH0llifC+FsDtOyC8BC4Ce+WCrmLCkNEXupYiHLPOSGRPOD81nm31NJFom1s7AUKwmtpIWqR2c2HtVhQSqtx4RShJcEb8xNo3aQzb0Zi0P0wqZMBRuVilS9UmXDlks23EokvtAx2m1pIebGh1JeQThHJVTZbizlFvTgKcz6owqosNVRCUY4xyZeWvBkks7vk3KAHKlC66Mhtmi5OJgtRthLKJPnMA1aSCMBr7JbdUtAFi2nVPRlhgU6qKnAY/kGR0xexLwvgkjmhVGVx1ZOZvXR0kiRls4MQVp8M3g+wQwhEAEkf1go6ii1krZdFhRwuYxO4zUhojGq+qi6qyFNfTg8iVh+ohI+WUUrq6IjUlJMzc5jbfUCFnuEjh48w0Nem0IYqRJvAKMBuLNojo4VllJCT9quE1oXqd6idZjnaiwKMxa40CZOqkT4khMiG7TWsj6aRQtUHZqIxQLvQ6cqWt5Oa24K1XSKXMGUgJCyR2YE6nIPHrTbOHGgicbeE6jVbCm7oBorT2gd5zbZUKMAc3v2Ioh0JAFVWbyv2YiiUCzNaeghTNbEBrpw4UWAarkwQRiQX6nIoxi5raE1dwsMyck0YLAIxTAlUkC3NAFKBJQcpmoLjDLk7wJebwYULUGiaBikhKBF+YwpRRp+AccFLikI/MK+Sns3reUpArnuVcUCLL4vRpxbaNQsNBoNOA22AaeYnpmCYY+KqtUwbGiOCZ22fs2CYWYStaCaDeS6C4/70HUFzrJkhrA9hCNW4fGagShJsXd2CqN82MB7W41APkXUD2CqbLbOEYcD+OJOzqSIhle8lNFoKkIWuOgK4oEvDyt0xwISFaafIeItysphWyYyadflfUMILgIvlGNNCz3jCshq46BQgLKlOlJrUupC6Ecbv6gO+VCMxRm8t4HttbymE7lHEK6xkCpUNERswBhEgJ8iixhrwMtFE/UkgagRDpATmOuAk6aSZUuZo5b3oYYhVIcPElT5LqoqvURDrlvIeK5wnQgzNQ2JN0CY52jwr3JYopJkYY5dY1Ymb027xRu7460fJbQq4c5waUI1O6+EQC+nBKuOEtgQYpVArLRmvlxRRflaVQFX2nsJnKoW0BKQ8fdlrhvXs1QglkMg5s/+zB/7c5nFV4WM5XdVv7Nc9/J1TnK4HmU5CQeVduXrw/BzeH9Xcw/L4pBy2fx51Q5dKuJ2Ksao7qvh/VhamXcCjsPQrTweVSh3LZVetehjWOk4PIat11WIuFPpRzWb8OXyBnfH7rgR41qWy7eDKquEMC8HdYbX83qsqtf6+fW+Pgy+Xkmpt9PPy2W+EfbjnbZjJ2D3WvfT633v8LjeffCxbUB2o5SR1wvcfh7f+rI/fzWKvtei/rthkK+33seXPv8klEjFzMQ49h6YRt5QRaG0urWBq0EHUR5i31hToETficTi55oanJqJ1fU+Gs0aFtur2Ds+CYpGMNBECWiqOt79zttkIt++2BEV1PTUBDa9Npw9LYw06kgRI2FJhcATFd5Aw56ZvfAaMcyU6jJXLD6RkeHuW47jXYduQqJmaIzVoJsKBpx8cM4wyHBgzz68sHoRm94A//K3fw3fct+7sLa+hCztY6xVR10hUFGwEWzi4vIzmBxpYbPTQzhgIUgfd0zOI1jowZ2ycPDWSeh7DOT1AJNGAw9fehbf8977cWFhGepeB02bTacGWiM19NNCBXLf3XfKtlIdFgYx/H6En/mV/4B9s/NSXLInnhaVx01H92NytIFxawSdqIcQETw1Qkt3oNhFGy11GbRAPfLCOQSDGM9fWsVzVy4gUTL8+qNfwsx+A0+eOYOj+/fj297zAcQbzDJToA5itOojyLspRmwLxycnMdeYEpWYF/lSNHFhcQV1tY6b9u7B1FgTnz71JGKPk+QWjFxDH56ocgqGFqNRb2BjvY9ofVEyydymCdR0KaDorQTQXBORn+FKd4DEYsOrKhbhM8uXsHXVw9zsONQ4w/vuvBtByhZWoG5bmG+O4NDsIXzzAw/i1pN78YmH/wgbZhv/6C/9iFgWW2YGzS7ULJLFxcy6LIGmcu9sW4zLHDISKsII2hBpKaRFT7L3VIRiqS1C/SXci2yT6jTVEsgn+WlcKWbTIUWUBDAzTdQ+ee4X7bG0REumH+E3sw9NAWXM9CMFIxRkcH6S+Oz3LGywZEi6hphqWYOpcMy+ogWXsC/aVqcpCGPaXzWxVlOxRCDJHD3hkCbhFkGPIpY8Uc4lbAku9FpUMzIPi1ZktoFKHQmBiMiJ2NCrIYElRRMEnBqterTqyvElqCT4LCAd7XR0BtI6ySw+2pUZ0WdoKXQ2wRYeYbH8MkePikfCToYEcjsJ8PyIZR2p5OFx2QaVeQlLRAhDuZ7kamxWZfcEbdIFkNJ1lpcwsjAtLH8UARs0YudQCYlUChbZbmzKOjLvi/uXdR20XOepKa20hEUCCglaMtq2TWGQtHLzNSlKYeuxlIooyGg5ZY5ZHgtcYS6a2Jw7G4gDqqw60Gmj7NvQzAD11n5kfoKNlU0gXYWVBWIXHx1xBVxpOluaqVaqIWdLM+tEbBd5xv0OUQfXLB5F6XEVdSGvHV2nzdOGYTMDUUNCFSp3tRJAIbCKqEIr7KSGTjidSV8HowNS2Li8niLOLCIdxIR2mYY0HCD0CZkjye4zbBemRsViBNXhvmQkYU3gdMwCCr8P063jwOQeLJw7LxAsx0DKUrpeF1cunEHUeQZ+EIhqUzPYlgvMHX8P0myPNE8TuDKHTVFi2DUqbUNElI6lbDxmsYwvaltLrmEq1HJYE/vlOPAi434wTF0KdaiABcs8thupI4Ivj/b6AnBTgSfnA6FwzcHi8hJGRsalgCjx2zCR4ubb5jB5z7dLHh7D4agM1Wh71x2kSV/KmZauXIY+cxsMeLAtttq68h62YLBIaGuri60O8+kU2I2agHLVsuH7nqgEM9MWuA+DFlbekzKxCus525sbhe1eTeWeEFqhqBCZtun7BHOEZmwBKpR3Fv9+DfoC5imvU1WqbTVELPSJ+LAsRWw1JaOSx4+t0lQZEk7GiiF/JxpGJkBd57WU+pJ5qA4CUTdneShQnxEbWcR9y6xSRfJCY6teHFeWGLHFm+VCSYwwsxAkOeL/l73/gLLkvM874adyuKlznJwHkcgkABIECVIMIimRFiWZylawgleWSa+9R6bXEm2v1xbt9ZFtfpYtyzKpQMlKzGAmSBAAkeNgcuycbt9UuWrP868pfqXrnsEMMASgs/3izOnp7nsr1x28v3qC14bCUg6Y6MQ6DItqfT6TY7EQC1FqMNRAWnU1jdmL/KUHVaPatyfwWScQjjYz+TbHKz+oeOP/fBfZdOVMtELdVx5lqEOQVMCbfktsv4rrx40/+e73hYKrHxAVMG2jxlquq5wVV7yXgIxKto1UgWX7bnnbClBVbostw8d+hRthXrG8om24v4CiPHEq/6wAa+XlF8e4fCz6j0HxnvL2leFjMQp1XT8061ffbQT7+sHhhUBi/7noL+zYqDW3DB7L21oe5UKOYvA4s/23fBw2x+b4XoyNyhYuBIM2AmrF619INXapY6P3XwjqXGh7Xsq4FIvqpUK0F1pOed9eLsXc5Sr7Xg7Ye6nQ7sNXOKvvxS7v5VZYXzHI5w65UGoqnLqOuXNLkg00NTYuE1Z3xMV4oy7WtRUlxtpyV2yL73nHm+BahoCcRtWWIoql+Q7OUR6nQQCgOWjhsYVzok5h9+bNr91JeQcUI5B8rc5SC+1WD1qqY0yvgG6w3oqPI8fPYLY7h0mfE6Q4D/lnVpWn4OlDR/HQ4UMY3jYggeS2Jul/aHZ70gj7vtfdg44fYNB1YcU6vnXoeYxPDOFXf/3/wYHx7Yi0PF+sWnVxw74deMud18OpOLBME3VmLAUhtl87hebJDg49PYO3brsJg04d040x+LT+VXfj+976Llw9sQs9xr0nGXZObZFssLgT4JHThzG+dwBrXgs62z2p5AgSPHz4eZnkOZQvAXj00UOY3D4Gn+2HtFshRi2x0ct8bDXHUK1YuH7HHhyc3CvAjHbq4VEXy92mAIbtuyZww7a9OHp8FtFagm8++ShGRxqwNQtBkmK900QYJmh2fTw1ewJtdR0/cddbcGDrCL724COwMwUtv4OW38J63IOhqhhyHSwvtET1957vuxNOxcCtV18tOW07xsYFBHz6ycdQM3T0WiGUMMPguC1FEF4QoO5aMH0Vt+zcIfZNtqbe/9STeN/tr8fDh49ifPcg/uxrXxULas0yYaYWZtpNPH7yEJ4+cRLVoR145sTz+JOPfRLLS6uS4XXmyfthNRyotLgRyBlsgdUELHByK2HvhH2c7J4vuaAykDlb3N5cYaUQcZ0HhMwFo/2TMIlqIrI+WoGZY8egfDZ/0t5KcECNKMESFah53hzztQiuiNCY5ZZn1VHhpzJqSyCSkjIAn/ZRwhW2pdJ6qyIlIBRuxjwtquAMyd3jHmgK7ZwekiiTwhuxubNlVJouYwRRJBl4hBvM4aM1j5ZXHnyxzxJ2Uh3E4gOdQJP5eppACYJHlflYtHvSPuqxfTNERFWPlJUQhGmiOIwkT5HHRBGVXEJloCjkiGOoDqRHMxGQE9EyzEYRhv+LGJCKvwQ2LdNZxmoEmLaKUHLgmEdIPsjmUioZ8yxA3cygGHnxB9VUilSnGgK1jFTPt4f3OG2wXH0Qi6WRx5/lKwLuxNIpCxfJJJevmobYdKlAzpIQsSjbCIEJKHQpZWBTKD31aqqi22uKcjYirKR6Komx7MeIYh9bJiuwmcUWeQwjw9zpBxGEPiqVAQxVVFx3w13Y6lroZswtUzE1UYOpU6HlCcQlrDJ4vTL30tJEQUjLo6GaogJjppvtmAijFGN2iIStCbQ+88qIAxi6Kxl+JDpUB1Mdx/bXNDPg0SqcadIeSzis6x40PYaS8Nyr2LHrDsn+I8Am4B6QCm5dlGxcpFkbk2PBBmKdClNZTQrFsUX1h6gDqzYq5RXDQ6PYsWe/RCHo1Tr2794DP9RgmzYa3hG8+ftvlTbVMIyxMLeM2IvQbofYf+Me2O4QtEoFakBAbYrKM4AlhRpUdvVWZuWc+mx+bbXlQQn/RIR8EUF6BD/owu+twWBGJFE8S4toZU9iqGzWjWIMjA5LyQNiG6rtwjE1HDk8i+7JL8g9yPzANGjlmYFRCNO0MD0xjp/5+Tfhup1VaBpBbA7IefzWmi1RfWZGBSkLgOIEnufBcfj7Djp+KOrVzA9gxB0pu+Etkqn8zGaxTCjWaF7/fmzJtaex31mJEUgRB58cZPl95AUwanUgyYs9oLt5IUoKhJEJLQjl36qwm0FP2X6sIYoZJ6AI3NZpm+bDBpYPhXywkS8nDdluXIGlZDC0VPaZVmZXSoZYuhIhijIEbDFOQniqCzXNEDMvUTXFpm2Z/HeWn5eGtH0TYrPZmFZrge15SICUSWkEjLrJBAFR82eaw9AByWWMYUuDey/mSdocm+OVHQRWBSgj8KOdtj8PrazCK+fHFSCpsJcS0BSvJZTrt8Zy9BdBcBQQqlDBlRWE/EqVXKHg64di5bERZNwoi68AbGX7aRnacf/5/qKtt9+qXP6+2E4etws16/ar4mi95T5tBFAJuIrtu5A1trAYFxO1YjmFqrEM2Hi8CgC70bZt1LBbnI9i/f1tvhtZeouv/TC1DDI3gon9asvi/QSrH4/e/79s7+bYHC/XuJBt82KZfVcCWF2uwu1SwdsLfX85o3jvCwHB8nZczCL7So3+41Te1ks5PpdaxrLR+JsYSfDhKwwbX7bijbe876248zXXYMio4qGZ57B9chqPP/Q8agMO1MxBM17F0GQdzWYHcUDLn4594/ux3JpD12+jUqtgZWENsaHDsVWYugEjszBYbWBxfRVe3EWi056Y0UWF+oCDkSEbrTRBZ6YjaqDqrgqWDq+IcmrQGcXC+qzAClup4Nqd29FeaQCOj+NLT0mTYtQMcdOOHTg+u4BbDmzDkyfP4bV3XAVlLYNWHcTnn/6WhMxfW92DfbdMCpRYavs4MLYF9z71MCxPxTvvfjN+648+gShJULVtTG+bwFMPHBUQRCvtjTdejYozgsPhYURnuzDqKryVGKET4v13vg1/8ZV7Yboatte34OjSjIShRx2CJAVDFRutMMAbr78e33z+KSiGiqvrg3hmdhW1cQetZV9scm+6+WYci+fw7pH9+PijD+HW/Qfw0PPPYvvgGH7o7rfij77wZSDqYibpiJ1yqzOCVtLDm669GdMjYzg8ewL3PvAIXE7+6xqazQge878MwMosjA0MgnO1ueYCqi7tgBruvuE1ePA7j6EtyjcFXtYDesA77vx+6NVZPPXEGax4LVFytBYJM0wWXUo+He2xXi8UNY30qTh5iycVJUkvgVk1ccv1V+E7jzyLmBO/TMEvvPPt+IuHHkSr28Tf/qH347//9z+W41Gt21IO0bBGgTDB8LCLpcU2FqIVuAM29tZ346arD+IrrWWszHfRm1uR0g0l6okiKA2ZTadL7hez15jtqGkR4ohFGVSXcBabMoJPWowjzr65rSbdfIRlpHLSV3seAMV5iQfLNyiskUZeeQkiTsg50WVJiVhaY8niYkkD38tkOsJOwrGYUI9KK9n9RKBmyCIB5iJS0UKIktqI4jZcNpeGgSh9qLTLdB1RFEq4PVVuhqmIGoywKUt16EYm9j7m7El7Ki2ZOoPzyfv4NRYFTcb8MI024zzDUIk9GocFOBgaoRrthWxsBVK2D/M1UsaR2yOLfC85kARpBrc/yQFGmImqUuc2sGQgTmFWbYH/VDpGqSrqH7EUMw+O3xPgEczQWqzaotRjeUIm6V9USEn9JjKqvdgyzXZYyt5IOamW1GykVP+w/CNR4RhUAIYCRwg4SEIISKVpWRSD+XEyWOShcnmxWE5ZGkKVEqlwSKCqCrrNr2XLhRJ1RRVGlZVBmEi7Mosz4l4OH2l9NSzUEw9KYxRxc15AZC9pwDQI7NlYzDzEQIosJMNQJE652jHvBKYLls3KctXIT5SYLbk+KkZFFKhwNUTtvDDEtmmr5zVlQVN9+BHVnlTLqVjzOhgb2omjzz+MiclRWJYjNuiQYj1DRUX1EWoViTCIWmyKjaX0hHlshDep34bp1gRoU4mpSKmHjyw25Dpl1iYVmXTJS4ZgRnUer1kFdT3E4JiF03MRXrNvEg8/NQuroqHb8bn5CKmaTmmDz2AbhHm8DwLozOvLYlT4AEQz5Z7TUl7f+TnjbauoFSRhR/Lp8vuF54j9wHkunzS79AhhVWgOlaKRZNplzOGkfZSNsk4VdgZsO7gFZ9aqUNeOybWzurQgSkPLHhLlXRqvwbYHoBB+qzEUy0LbixF0O/IwiKrqSK415lrmrcBViQ+ooNechWIPIAs7UAkbHQItDd04gE3mpfHhjyf/JlKdS1Ui72cui5//tP/yA4nWcou5k7zvTDYRUyXtI9NsKCxPEfkmH0DktwTLd3iPZkEiYJTH0tdNVnIg4gcRi4MUFn/4AtxoCU/YiktXLVXLVJxqeYkIl5N0e8hY8MHPkpgtv7ntnfcCowX4MIB64DAzYSihwEWLCs3MgGvp6LGQx7QFFPN+zeMRaF1ns24m54kt2nzYkKp5tt/v/bf/35X435fNsTle9GDzbQFzyuUXBWDbCKr1l0n0l1WU/95fxLFRAUNRHNG/zjJQ5Oj/eRkilV/HbL6NWmyZyffs8m0C5Ajw/sOZL/41cFZWVRQTMO7nlq13SkEJwRzfe6Fj1A/zCiUhwWdh7S0Xj5QLR8pfi2NcjPLP+hWTZXB2ofWXj/uFtvdCx7lYdv85u9g6y+CuX03ZD/r6z1H//r/ck8rN8f/NcaHSikstYnilQNXFCileahHHC623PC62jperNKN/nZcDRIvfFdv6Ygo3vhf7+ZHz/w5t9Dl4JQowXqnxshdvcBLzzcefxhdOPMGUJRw9cQaZpSCrZHDrKeyag87RLrRQxXvvvgfX7D6AX3rXbeh4HTQGquj1POzbvUuUa5WaLeBg1WtiJV1GL+zBHXAFChlVCxOTnBh1MLPQQkg5laGhtdDC3INzMqHrdSJctWcCA3YFO0b2UfiHxvAInjr2TTz21IOImhqmalU0Rmp4ZmkG6qCGrxw/iopuYubMEh449Ty+deIhTGh1pJ6Cx08fETvvXTfdJra4P//mt3H86AxOtZbhR+t431tej7pjw/d8HD9+CplUASu4/cYbsWvLGJor86isRYjrGYZqLt5w2x3Y05jGFx78FmzHEZB0qr2AMImQ9CBKC0KnVhKhMtXAA4efxf7xcVSrFZxabiPUE3TVQIopzEzH/No8esc9fPH5w9haG8HKLCeLLLJo4Lf/6o/QC9pY7fUwpjqSA+ZnPaxHHh595hn8yz/+BE7NrOLWPXvxx7/5W3jLzpsQMGieAgxFR9cPMDpI+2+CXSMTiNopxqou/vLb34RaMySfrRt3odU0vP+Nt+PeRz+HRx49hbtvfS3+4hOfR6fDTLEEPoPVw1CyujQ/xXR9FP/iH/wCJifq2DI+lger0SJWyRs0m91AIIuaqGI9/vy3v4PtQ2NQYeHPPvtpTE1PwDEMfN9r74AXZdi9fQJep41rrn4Nbr5xt4AF2lEfOvYYfvdzf4jDX/ySBNbrdTaQ5iH9VOlRykUbmLhWCbmYUUZbHyeqKifvhICEZeRcBE2KTKCZUUflXqIaolLM+JX3ATP9RInHggSq5BLJsQuSGAaVYglhZgSF+VlGlmfFcWJPCMXiBFpHA9pRz8MHKl8SFloyRy1EknRFrcX7JE49WIaNWCyPlthLuQ20+lo24SGVa6nkyTHniio8KQQm96IaiXNwlmtQiUN7IAEU7ceibivAHxVEtLFGyKiGIzwRWyuBaARWZRC2sv+UHwIGG4kpLNIUWNx3ZvJFzEWjqorZbAzrjKDYVCORARCgKtL+GbCFM8tbgtXEk7w+qit5ZJmfRgshwWKqV/KCD5ZgGPQy89iZ0qTNKhXaffPrn4Q0Xz4LC5S4J+UcVD7ZbOZlcQQVeUmG2AsQRzRZZ+ixVZrCQj3fK2b6iZKNxliNmW4KAloVYxamEEDxeiJ0yZD5XcmLYxacliVSHsHX0d6YsUhAp4IwhqnU0Ni5B93VVTS9GiqWC92gJdVEykcQip+32kLHMPNJNd4PBB8p2s1V2RZLto+ZdgQ6gEJFY2LnIJTFMh0q7nL7Nq28tDsrBNgJCxWY05bg3LnTgB/h2PMPifqO90XgB3Js2dBMW2VkDkj5i98hxDFh1gwYFTJsQ46taTiobada2AZ6CTrtAInqSsMxAa/tWNIc67NBl4l1bgVhj43AIdqhgtNnScCAQ8+fheWa6C7MYu/r3oBepwVVrch9t/O6G0QpxhIgWjWpCXV0E3I0g54cayouFZPlKzxfOpTUl8bW2XPnkKx38zIYAmjepnGSZ86ZBiy3AovKNJMlSXkmIKGz5VahsmyChTeD12BUWcfA2AQW5k6i53WwvLqCLO2JbTmLddhWgtRtIMp0uRczAr84lOxDxXUwUGsIkA29NlTmW7KQxl+F6QxCibsCvKPzoJrbV6Fq18sQr9NSy+s5gCGyYVsiFfj5xVgBnZmN0qpMBWAqAC+kLVaxBfwREEpOK1hwoYhKUWW5j6JLUQjFqJWqCS/NQbbomqVcRoEWxaBwk7XXGe3zDluqWaZjSokRPzPsKMgbwW1LPlWpjHXoIWfWJRu/+YEihTCWZCCyJIdyT6p/raoDzebDihiuSnUyVcks+YgQeD15KKBrGbyYFmJNchkZ9qdEq3lZ0ubYHK+CQfBCMMZRhnf8OxV5hbKv31pZjI3smsUgGLsYFCrUZ4Rf5deV18OJTGEpLn5fVoeVIWVh9yz2S7b7gx+SryzxKAAb8/nKYKtcbMHJU/EebsfMx26VvzO/rwBtZUszx0Y23+J35ey+onikeO9GisNiHf3Aq/z6cr5ef+7fRuenUNn1A7zCBt0P5vozE8vbVij9eG6L5ReD7czl9Rbv4TJ4jW0E98rrLu8f/xStwZtjc3wvxwvl2V2uhfWF3nOlxsW2ubxPV1p5WCx7I9tyebmvJsB3OeNS8g0vtq4rpdL78Pl/+y70u79JSkFuz+Vu0xWDfCyDuGbXdtw4tRMzq0vwggivv+1GtBZ7mF9uY7I2CLNhYbgyhs9++Rt4/tRh/JM//SSayx4GkQehHzp3NrdO+WwqzOBWbKy1ehisjKC90sVw3UV3wZPlqbaOsBdCi0JpVpVkMWa4taloUvCNZ55EfXAEC2sn0KipOHbiBJGOTLJ6XgvHjyxjdbaFq7dtgbcawkgN+LaG77/zLihhijccvBFn2/PYcsMkGtsMKSv4uX/z75BkPmZXV7Fj6ygo8RgdG8WhM2fghQEGRhtI9AwHX7cPWw4M4vjsSZw8u4rZ9XnUjQHsHRhB5if40hNfw9HZGax129g3NYB3HNwLVRREVCokCJqBWLPUIJPmQj+NcXp2Ba5moEtbXmwgOhHBTqu4bnoPFleaGB+rIqpGaNRHsWz10MsizMwdxt7JXbjnzlsRm8C59RY0V8dV2+/GT737VzDbXpPMvuOrJ/HVw0/i+//pr+KJkyfwz//T/4kff9+7MMqAdA2YWVlHZy1AN+4hVCKcXlnGxNA4ekmIqMEcfwXbBkfwV197UCaoWyYbePpofnNftXWnqPmYw2i7NmIrQyyKLA//7GO/i9pADZGXwbFNKWyhxZgTUjfJj4fiMrBdxc996Jdx9003QrUVbKk04K2HmJqYxpfvfRSmkuHU3CzGprbhi/fei1/4lX+G63dshdJSUdUqGLCruObm3XDrFVG7Sfst1WpEU1S/Sb4e4R7hFdkVlXWxTEyZ58bptLxL2l9p3zWQiYIshSp2Of5fKDOo2BTAHL1IYCAhG6GU2CYJPBK+huomU447lxEL3COy4CQ+L/0wCKUEErGll62vzAtUBXZwUm3QVchweplQU5lDgENLX5YH3rNkgblrVM4RY2UxdI0WVWb45bJCxaI3VoGaJpINJsUNknNHpRhz6mjn1QRoUQHFsgc20NJux/bXhA2yDOunqoa5brTsphr8JC8hIWgKuZ8EEHIMCR8I6gyxn6c+s9U0aIRRbAVVFbEmcrOJKlPdlXMSE55KezNk4s/ja4AqIjbQZtCoLDJtsbwTvFIFx2NPXEXlb0KFExVpVFfqFkyXTZ3yTEJAQ8ImUtphCTSpBtNS2Mz74nupdGOfA89dEIidWBqnJdLOFEtvplD9RXUcz4UqyjfCEXF9E8IQrlYJbiIwQpAKTVkAmlhcWUdMKIlVLPsKHJOfYoHYdROtAs0dkybltZ6K9aYvbdkE5QPDI3LeKVfjufV97i37OhToWoooIqTy5diJ0jTysLS8ANOtSKsyg89Y6kFoOzgygYnr34ihwUls27tboLJdcQQornVa8FMPqdeSY24KLO0BLAyR5tYUYY85bgrap05AdQkPFdhGAoeWcOO8JZ0WZinmiKRkw+vRDpxnQw42HCh6CrNRRUCIGvXgDG3Ft//s47CrdVh6ijCJ4S0fhWrHMDXmoXJrQoRxDyoBItVrRgaPtteIiJTXcQrd1BFnGia3bIXmuIgSCwYtoAmbYRVoYuNOqTlEy29LuQQrfBaWVwWOUjXJdaZ2iPH4JBbn57F89iTGhkfQGBrC2PhWaBrv5RRDNRXLTVrKmxIzwLzB5bUFuX6YQanzfKShXLfO4ChMx4bqRQgHxoC4A9OqIKVNPInleo3iQGCaalVgmBoCAujUhM9sSlqQQw2Z60I1bLHUE/zFjJGwWA4iyBlp0BblJhWYimXAzwz5tzKzGwgJRA1TPtdUaSROUKlkCFIDCTP+wHZm2r9DwGKLvY2E+Zh+XkrF+19PU4RBiG6YIOr6YgEX1WDKtuIAkeIg5rXsMq+RHS+eHAclYWmPxvQMdDza65n1aCCgF1/yJUP5N0Wgq6HA16gsjfJm7TBvw6YyNn+Ytjk2xys7CiBVgLHiZ4Ulkz8naCkAUQGfqG7bCPj1w64Cal0M9HF8F771Ne32W1oJHIs23XIOXxnKcTv5mmI7CPf6t614PUeRkUebHG3Fsp8f/a3vTqKKQo8CPBXAbKMCkfLX/r8X219WKJb3sQBkRaNuAfu+CyvPA7bie0KzYpuK3/Xn75XXX1ZlFl+5bxtNFvutwmVLNpdTqBr7jytBaP955rEusg3LKsyN1lU+r0VG5ObYHK/EKABVGfhslIV3IRvs9xpuXU4O4AsBzEux3/a/p/j6aigqebHHvn/7L1RmcikAuPyaV4PC7sOXuA0XA29XqhylUB2WHwK9rJBPi0wcn5vHI4eOYNQdwJ7xCSihj8GhGq7bt1cyj7ZuHcJ8awGoqHQ8Yn2hh62T47jmmj0IOiGquo5910yg2WyjNm7KpM1RLDh2grphykR6aMTl9FqUUVR8aWsKfCXE9n0TqDYcjFQt7BiZgJYwH24M1XgYd9/2OtkmGZkYAPMspiTDY0+cQGOsigHXRhAE+J0//ywWOz3cfvUBTA3UMffULK6Z3Itnj50SVcvWWm4LPbawhH/w1g9gfWUVWVfH3t1bsdxs4sDBXTh+8hTWQx/rYQfzwVlgWEFmpTjeWsbJpVVgPUNVt3DNyCRm1hkgz5bSDI0BV5QoqZvh9msPwrZNtJ9fwzUTuzCwfQSd9VgA2Wv33ij7GphdzHaX0G4HyHyGmhNQxdipT6CaGViPIzz4yOP4+qNPwTEcuMwzaof4tb/3Q/j8p34PFVeTbL73vf77sW9gB/7dP/kHONtexX/7yH/BY0cegTusI1oNsNBpYWjAwvzKuqjdRqsNuAz1j1PstifgKi5aqz4OHnwN3njtrdg1tQX/9Bd/Cb/1G/8EA04tb7StAgOKg7HGELwoxtxqD0mQYmV2FVONESnG2LV/DLahSx7TtQeuxS3XHsBPvOVduP3AbVh84jCee/Y4fuR178CWqT1461234bot2zC5q4FKzYUTdDGHU+imAX757/48uoGGoSEdHXSw3vOxfGQNJ7/xhXzCqzvQaWml2kbsXywdIJDILZpJSsUL5Wi08OawhgqumHWRbO+k8k5hcYfE2VHymMMcqmDiSNSeoiATsEXbtp7H0DGjiuo5ZvIxED+JodO2y7IOhRlUVKYRj7G4QhGLIrMY04CwiCF3Wd76y/uNNk0quxLmA2aSmUfo6KjM1rOQ0T4rTnxCOOY62izKFUkir38pxSXEoHWRv6O9NI4ki4uZb7pBBdp5O5+iCpCRY3Jes6cZOWyUcpeY+YQEVLnV1TK5rwS7LHGgNJH2Zl0yBmmVZUstjzmtrlQ5CWQldDF0WCYLB3KbKyf4zP9iZKLh2Dn8lDJVZh1yI3IVbxR4Agp0yc+jwjLPMTMMC5bAWwJNgodIWmdJrlW21Ep7qyotwNx/XgMqPeoEj2EKhVbImOpFqiAdgWqEllRd0npKCy1toykbZaGJbVeKSARqxWJRZA6ZEXZZvSxKP6oxNbb7egk6i7NYWpyH7tQQRz46vQwsiXUHBqCGHSBck/vdBFAfHBYgY9pjkueoO7QsKqLYotWYgFXTMtiD1bwxl8rGJESPtnjFwvDkNjkm8wszWFk4CcNS5fytri7g7Df+DEM1Mi1eX6YULMR+Jo3lJiyotoOM2X2hAb/H9mRfjonJe0AjlIrzopqohw5LSKhWC3qSL0q1Kq9bwlYC0jiKobt1ZEoIxwSWVv08S7HdxpBjY8uBO7D1utdhevoaZKotTeks4piZbYmbPot9KWQxXWYsWojWGStgik2dZSdgxiXVYyx/kfPF7MdQIh8N5lXy/Bm+pNoROvuBInZ1izZ1Fh/1OhgbHcXsuTPoBQFiPlDpKvjGfU+iG3TgxUBAVShVdbz+1AzO1EF4sUZRIOKQYCpFpVrF9l37MDg6CsdxpNH37OlTeXutKGAVKcBIVtahOgNyXZuWCY929owWegI7wuIuAj7scSowqnzgwWNPi3iMYLWTZ4TynlI8mLTF8uGCiGzzOATGI6SEZ2Ek95PX9uCvr8FkbmWPtnLGFRLF0g6bweLDA0uBwmuAsRos7KBNN4hgyGcZs/fYqpyJip7lIDZBre0gJnDk8ddSeUjHkqRMi5B1fbGMR5mGROdDHEs4cWpTsa7DoHo39sX6S/s8EhO2nTcnh34q69dsV9S0MRvK5ejRNl+5Uv/7sjk2x0se/WUORSZbAdv4+6KxlRDm/oN/PbdvI3tu8dri9+VRAMIiE7AMeArAdSHlIAcnDOVMONpwy+sqwGTx+zLUo1W3aNot7LOEVmU1H/e7yBEs70exnWX4WN63/uba/t8VtuRClVfevwKQFedjI0t0eZkEsAXYKzcOc1D12K/a6982Du43J2AXUgMWqsr/tP7v/9p7eaz4c14T/ee2P++Qx5rHvPyz8vrKILNYZ7HdPCabar7N8UqMi1l3NwJ/F7P2vhh12ZVSAr7Qci4GMS/2nuLrxUorXm4AWOxLP6DdCNSVAV85P/BiVt8Xo9q8EufxI99DVd7FYODFikF+Fn952eu43HbgKwb5/tEH/hbedMM12LdtCt0sQi+M8NzpBbSXPTz+7LMwExM7Rqfx9++5Q5Qshq7i4NatWFtv4kDjBly7exd8xBjMDExOD8Aya+LgpA205XcxOlzFcuSjveZJjtLwQF1yl9ayDvz1ELPnlqDXVaw0fZxaZXuriqcXn8R8Oo9Hnj6Ltt9DfcRBddTMFUsSJM+G0wSv3b1bVD7fd+NrsP/Advz02+/Axz93L1xlCN9/2xvw0NPP4c7X3Iarpg/gcw88JEqo8VoN//qz/wMr3jqOz53BsePzUJqAd6aFkWoNd0/txsCYiyiMoEQx6jW2Hmb4+L/+Nwi6McKBBPZYBV2lh+fXujA1Bc2lLlSWPQTAd55/HoERI3UyeG0f4VIXqRKgMl7FI+tPoVF1YCW6KDwyk+KcLoKVHp47cRTvfNNN+Jn3vxs//Z73AlUdbzx4A/aP7sDdt1yHYWsSf+vnfgZuo4I0quK3P/xr+KNP/SUWg0X8zu98HF03wLHZczgwfh2unbwKYzeOo2rZWF5vCdCiEC7oBahVDFTg4tTsPCL4Yil9/Phj+Or9D+Fnf/mf4f3/9NewsLyCuhVhIGug1wkwPjaOHSMD2OoOST4dyzluv+46/P1feJfArFOPLSBVaR1Vcfj0s3j4mUN48tgTmFs7ib/6ytfw+JlDODWziHu/fT/W50/iy0cfwVJzDSvLbXSNCszVqhQ+dHseWp11HDu1inpaRSfzseitSHnDGAsNBPQZYlljQBUhhUn7IlVrLA0wqdLiZJlKkXwiKz2mYusleFJksk4lWkyIRcBCxsVSA5XNtzlcoIqPSjVOoll6IPZTlQo2KtcsUauEmS55f4S8sojzeXFJokm7MkPnUy2BoVJlSDsbgRTBn3ArgY60t3KCrCk6OkEk8ELhRDymlc9AohLc5DmDsUp7Kn/H9lGqBk0kzFIjnKOdMUtl0p0QZLKdlopSZDC1HCaxjVNUikEo54mWZc2ipTUvMiBkIPBghhcth7phIaH1OOGxVUWFRHtrTGBAsKfSZqgj6gVi5Y4jljfkWVxslo5j9uWoyFjUQDjHYgC2TxCKUvWX0BZNqzFzFWOBXpm0JFMZ6SEUwSIz2tiUnFujAyoXI54XQldaiVOxVZpU6YUhQkJe7ichQsa/a1BNwhTAMAk9uYGEirQws9U4EUVdTDUkwRfBHBt9RfXHDDlqxHyBflRy+SFzyCKEfheT43tRGRqBWzMFDrFQ4MyR4wJBjIRFJgoUbh/tjjwTeheqeK4tKTXJnLoA4Nz6nSDpBtJQyv3n8WVmn11RsLY4D0XL7dhBGOLk0aM4e+o0tk7vwOTOW6BMTSPrhfC7awJW/SBEc3VFjhVzEmsOVXgx9t/zw4jY+MvrUrGk7IPnlUGTVOSapgq7QmWjBr06IBbsFBXJx6NtU2c8QdYW0Av3QJ55SSAaMe+0heXlpzHz9Ldh2x4MKlEJzE0bFTbLaiydUAXYJaEqDwacmiI2UlGOJszIy5WStBwrWReh78m9x+s9ITCKQigeFWQhMpP3aiYKMdAaz/IJqmFjlhLtRI+2WtpxuS8VXYqLCLBmTh+FOTQm9znz6Lwzz8DzM9h+V1RoIVXIfkeKWk4/fxQmH2plMWojI7BsU2y5zOyj7V7LAqhJF7rJ7EsDA04ViRqLCk7+/VN1mA5zLWOkbIAPE6gC9qmODUTZq6UZDH6exB5iT4Hi0nasQK/ZCFjEoSVyHwQZHzbwvlGhWrpY5FVLg2GYiDVGZPDBgHj4kZqGKA+TjApBFbHY3hlXwEasKt3Vcl+kiobYz3MvCS0ti1mfOixbg8UGZpbtsI2d5Rp6CJ3XgJG3autZBC3yEWSGAHLRLfPhRupLkzKVq4ltiuqTH7M8r4wAkAcvSQ+xElyp/33ZHJvjRY8CpJVBTQGg+hVkxShDpTKkulCxA0ehDOxfR1lxV0CpQqFWjKIYZKNtL2AkYVC5KKK8jfx7oebj+K/4ge+urwB7fH+hWLtQ1ty3f/Nz3wWd5eKMjdRy/ZbjAuyV7aplFZ+o8T74ob92rItz0w/yuO5f2fZWmTgV7y+KTor3lBuAy9vW38bL/ebP+0s8ilF+Xf81wFEuSymvp/97gr4yiCzOf3/GYLHOflvy5tgcr/Toz1+7UC7dxX5Xfv/lrO/FjhfKmHuhdVxua+6rUdV3qWMjGHilrL8vdXz4g9/6noC+l6LUK/4dvdTxYrb/ikG+P/vCl3H6zDqOzS7Armo4NTOPg0Mj+I1f/TUkuoIjS2fxufsewP/zhW9h1HQw6jo4s7KMG6/Zi499/ffR8ZqYmmrgzOo6htnCu7YGI1HQPdtFqxVgockn/SoiWsAGLTimCn3AQL3qoNIwoVoqvCiBXVExWp9AokeSacU9fO74c5Ltd9O1V0kgOCkfQ/yprtq7fRTffPwwVtaW8Bf3P4CTM2fw2fufxvbpSWyb1PCnX/8KrhmaxGe++U10g1UsNFtwHF1C4F+75TXoxR5SO4Ztqrjq6r0YmK5jtDKALx89iiBl2H2MwIvw+LFTyNoh/vNv/w6sIR0Vy8KJuVlRQjWXfKwt+xgmeEtSDA/VZbIqk68kxthwDWaoYN/odrhUQ3RidAIPJpVWdgh0U5w6uwp4KrZMDuD//tqf4o//7AtY91ZQ1W08ffx5XH/9MM4cW4ZhBdB0A/PLS/jNv/dT+A//439ganAYH/rAD2Mu6OBz//kLYkvsrK3ia08+ht7Zjqg/VE+H4gOf/JNPQHVVPH3iHLywJ5O/t91yM1bDjqhCtkwP4k1vuRvjqMOtWTjXSVEfNGHqDo4tncaTT59CahmwYWJ0qIrPP/Ad/OuP/gWmtTFM7hzEyvIKLFPFQ88eQbVaw0ijgpOz8zjbWcLt196K588+I3bsLx07jm4YYtnrCAw6evwkFtbmsBJ5aIarGKu5UBwNmUkliYLhyiC2NMbw3P1fgDk6jNQwz9fp5uqyyAtoRJWcKsItAiQ2O4rbMaYMiAozKkAjpBHbHk1kGjPjDGQEhbymqKQkGIsypIR9VP0pLAQAdCOV5k5afakYZO4VsR7tjVFIG28eNM9SGRZjkJoy+44QjRNzBukptL/F59Vmiio2PctM4NC6GkWICXVojdap5qOFlzo9QrsQutgPMxgkaETgOsEDJ/K05lGNx20jM9TEBk/4Inl4AtQIMzLm6ecNwGwkloxA5rvlYfxUuPFnhASEUlw+QSWBnMpikUxBRBUTLdGEXXqukCPJYFYdG19p2abcUCCdYkghBiEarYsxt4tKHp6LhJmFLLlgrp4qhTieQE/RXArEYKagzXZunWo6WqPZBGuIOtZybIGYtCjmcCXPaIxZtqDx3rZg6pZsn0YQzAsBtjwciAJuv4aIhSkBYyTzdfCBgZQLZE4OOGmvZoEH1ZKqAbpkCTwIMVSWeOgqXLcKP2VL8XKeP6myzVfB6PiolIp4+iT0qgO/WofrWrDYmBzSeq2czyoD0G3LMinfijWCYCojCYR8tHs9VFwpt0W9MYBut4Xp6Wls3bYPwyPjGB0ZQdV2kNrrUNab0gjsDE5IOYWq+pjeugWW44iVuRXyWrChHr0fY1MT8FbXJfOu181LZmh7NWiPjSNYjVEaqqEkHrTzOYJUswK6XGORT5s8gc1xTF27VWCT4vIz3EK4EiHN2BycicWXQI/FCzERuFhwDUQ+FajsEk/hdxQyKSghz6UphS285ioVC1liwKpUcojHnD5KwchnLQVuzZF2apbFODb9nyGCTMOJM7OyjYxV0MwKYpaGULaZVqHaVWhxgq07r4ISBXKtGMyTSxOYRgyPQJ1Wf5VGelfUj1v27EFnPRHVn0IlaWcVmhrJOXJrg6JwNHjd+V3Mr69LtAHhrs4SESoGTQJKS9Tj1HSGPIaaLSU8BLZs5eZuUdke0Zpr2xIzEMfMQYwlgzLqeaggRkVjFigjC1SEfgQ/VtAOqVAlTcxgZB4yKvd0qpkVWKopn1ssdDGYqerF8rmodDvIYMG2VViWlsNCxLCMDFHKh08hvJhq/QxGmn9uUDmLiFZ9hhewHIW1zBYylneEnjzA4PVB8EeFd5BqSAyCy0QewjBPk//W8N9HvjdkuzDlxZtjc7zKRqEu6y9i4J+ybbVQs/VDoWIZZVBTNO4W0KkAZYXirhgFXON6CvUgl8919Tf+csJQWGf5td8GVN7GYpvK7y3WV0DC4v2EVuV1FesoSkqoaOMyiwKO8n6Vm2qL0a9G5LJodS4gF/8Q2vWDyO++v6RA5OD7rh55SKCZZAeet/SW7dblZfer+MqNtuXjw2Xdcejc/9IkXCyvfK7LTblUDJZVnGVLcLGuftVe+XyUYXK/mq/YBv59I8i7OTbHKwmEyu+9WObdpUC/y93Gy7HpXqoV92KKvP7XlF97KZbWl3tsBFzL5+JSbcZXGvi9lPHh74EF+HKVdS/39l+xdt2/9w9+Ameaq5hyxtGOVgDPworSQjAXQHWBA1v3oTGg48mjRzE4VoGTmGh6IRzLwGt+4H348id/H2MYw3K2hMGKi/mFdQyN1HDdSAOnlgIsRG3YjoYoSrC+0hNAZ9EGaafIAgWjAzXc9O734aEv/wnWz3mAmcBKTViGgUHbxnW7pzE5uQP/6S8/hVrDxJg7hNnOPH2H+OE734I/e/grMDlp81WcO7OMfftGoBhDCNMY444NbcDGQM3FAw8/J0UNtQkHb7xhN84e6+Hp586i43ewd2oHTq/Picqt64XoRgnieR/jB0YxataxbXAIT82fEcXKSKOG+XgdDc1Aay5GtWqh6fWkFIIZVQonZ50E2gDVFYDpcCIK1BMTK35HrLfdOQ/Wvgp2GhUcn2tiujaENps9ddoQFXjdFJqdYG3BE0iwdWQAg0NjGNMdDGydxKHDj+DYuQW4NRudUMWgreG6XVfh04/cD0O34dRNrM93sGNqAkeOnkNjbEBAlenocPUqut2eQJuQQe+RB1vX0aRKKowwNTiO7bu2YnlhAfPJGnbSAre2jIVFlh9k2DYyipnWCoYqNezdshMjTowvPvI8vDTEu2+5C1988gGYpoaDe6bwyJMnkSUK7nnjNnz1W2fwxT/9shyLd/7U28Xi6SNArV6Hv9rBT93xBgxMH8Bn7/08Ti2ewW/8X/8K//Qf/xOBMCODAwiDAFtedwdOnFhBtLqewx4WDaTnlSrMlhNIxUk0ra6s2KU1nMUKRA25Io0qKoIsTm5TKtcIWERFxsZSQiQGxLNQg2DDkMZXUsBUN8QqSNuholoC8pKURkyG19Nml6sF+UdqEDRLIGEQdfOmS4UFHjY0YhTFksZOKmYC/i6OYBMmWCbiri/Wy9x+TAgSAQbLNtjCGsCo1ZBEvhQYqKaN2GMLLAELOQjz6XLloGHRxkgWSpDF48PJOPdXITOEwf7jIIHhWOiFKSwWMXAin3ApQKJmCP0cwNgEYcShmYEeGzPZrmsYoiwUuMhjH1HhRzDG9l6KZrn8GBazxDLajCM2YsgyqYzkBmcsT4kDZGwTFctwbqkmnKJDOC8YiOQYEGQRvmUZSwlo6VUFjLHYwOf+SiGHBSS+ZPwZliGKIgaBUXXIQhzaS/kfvw8iE4aRSeuuDsKbFNr5bSVs4QbQkkzYRfDK3EUweiAnwqLU9INEmlO1CkEswWsPmU8QmmHnsIW5boT2eg+qbSLo+NCtKnQjRERlmsn8RIJdBQahEFPlbDtXF/KDQ2M5CC2PmliCFcs53zpM6hjh3OnTqAxNYKDq5o3gzCG0bLFfE6bpUitNVaoIVbG02sS2iQEMDw9idn4tL22JIlFrGgQ3WSCA1Cfc0Yr1UP1lStwBMyB5LWlWBYo1gKC1ICpKNhBrVozEY1GTgdXFkD0Ocn9zsUnEcpcQ52bmsXvPVlHvRRpz4cRkLXA5o2o0oqoxRdxVclBO63ZqSq4mn6ikIrnN0FxaxuDQSA6seRf7CQwWt5iOFJTQpk1lZej5sOhl7vkC1gnNpgeGMXjdTXjuwa9IU7LXjWA4zPakCteHbVYQ8j6PelKWoZ4vBFlda2Gs7iBxBpH4LQGsnV4g+7drZAhH51ZQdy0EvJZZhMMiJtqIFeKvLAeOzAp1HERdqt74WZBnmEpzMLMkCduzTO61kHmbVCdmKa9MKa4gcaNVnJ/VEZ9g8DWEp+f/rloGgm7+WcPGYWkZz7qIU1MUgZFqQvEjActUHWtUcIa6ZFhmtiUPOZyKhWBtFbAqSHopNMdCloaw1QQ+l5sqMBIPQRbDrFYQtALodoZY02FFLL4JYSq2xBVQtazzGgt6cl9rhoZexAhfwmwVv/8/fudK/O/L5tgcL3qwNZajv+GVIKrcvHuhll3+nKCngDAF7CmXRVzIclp+LSFb2S7L8V1F2wc/9N0m3P621vLfOYngdhTLK4O44nUEav222H77LQdBH1UOxWsvBDMvpFrcSNVYrJ8Tq2I7+1t1i3VzQsnjXz4OVDgWMK+8P+XG3/Kx7c++Ky+r2Pf+0Q/kim3bqDW53IBLWFusr9w63L89xXIL8FuAY45ieeXW5PJx7Qe9m2NzvBrGxWy6rxbwdSnbdCng62LLeaH3vxz5ff3ruBSr8qVu3+Us62/C+Mgr2M77srfrcqIaeMDx2XO4+eBVCC3mmqWYnmxgdLiOUwun8dzZUzBcFyPOGE4urKBGJZSu4Dv/848QdSM0jRVwfr2lMYEDO3YiVhJ87eRZwEzRW+/BX42hhGxS3SWT5oHKMNkIJsYrGB8Ywdc/8Qd4454DeRGAqaKnRWhHHpbjLr51/AjW22v49//wF/Ev/t4v4uc+8E7JBLN0A88ceh52YAvE8FohDu7bj6VuGysLs2gYNjz00FnswKICIg7gWBresP1OfP3Rc2K3bCcedm4ZxVNzJ9Bp+lha99BeD/BDd71dcvaWlpqI/QDfPn0YS8E6tu/ciuWgBSVSsDzvIVZirHc6MBRNAKdjMticsAiinsuCDHEQYZhgcm5NAGen6eH733Un9g9uQ3M9kjzBOAuk2ZAqOUezsXd6h9hC2UraYVMhgWdjCHfcXMfMiQ7m1tp49xvuwnocYtIdRBJU8Pn7H8T2xgT2b9smE0dzwMSeiQlMTgwhDnuyr7RQLq+voBW2seZ30fZb6AUxvDDC9RPjqNaoNNHx5PHnUK9r8P0Ejx85hZnn1wVk3XTjVqwHXUzXd6Lb9rBvagx333QHPvun90Kv6fjcA9/MAZqmYebsKiqOC3azfOFLJ2FbGt7z0+/E93/grdDjTCaINttCGzWxaP/XL30dv/0//xtOLMxIc+ojn/kqdu/YikDPMDe/iF/4+Q/hsS99Bs5onR5TUYpIrh4rmAle+D9NBD1UREUqZSdARmsvrZh8DcEfRYDM4eO3VGfJ/FjsnCDgIyxhEQPVoswhi31RJsGkaofW31iC/XmdEsSlCdtBc/UMk/qpBNMNKs+oeKGyJoJp2TAchQXEAnSSzJBiCEJhKvK4PYbknmnI/BAwXcno0zTajmNRHVE5SFVcptsIu10pzuA6Y9pHCTY1XRpIFUMTWyqD9wlo2G4pDcBZmCtp+FNuF7O0BLRXBQJZBnFJIKo/QpVYyihyRSCVZgQNgaILOGcrM2EplV9REucAIyP0Oq+qixnOnysENUtHREgn0CIRBQ+LSLgMqv5YAEEoSNkl30s/nxxDqhhF6RdClzxAWqBtAbcpSxBo8SUL0oCIMEt3xA6ayrp4blgwwqcJVCpRvagi9XN2R3AYiuKKGWIxjKgnAJiZb/zcI9zhsqQQiJZnqhaJd7ksXkZ8rUpQwzhCFo0oCNsBvN46na+sqxD79fNzLfRowXUq2H/tdriWDV1nCzEbTA2B0oTRPDdsZ2bsQOzR2kxlaSS5dPxco2k2My101pZFWXf21AnMnD2HqantGKxXcgUmG1vZ4pqoWF5qilKXN4Bmadgy6iK2HMRBGx1PwZnlljyMyPzcds/PBDhU6FnSeKtTMcoMQoplDcDwIwG59BIz381f62DvaIaBxjC8dktew3xQt1GFX90LRe3lsJr6WuYcshlZzTA2Xkevl6KnOAKQopiFOJBSCTbAMosv6iVQzVAgdJaZyJxU7gFe2zzZtNTzs6XVXkHY6eSFLecLdaJeVx6qqGwhJszVdfjNVp5HyeZ2r4PZbgdPfPkvYbOUI9Ng11hoQrVqCse2kaXMx+uhzQA/xQXrbKnepd08s2twWNZC67RFxa8BSwFOr3uoOxpa62vgJSXHiVCcTdosjVEtaIaNUHNBykVozfbwyPPksyo+32TLgpeKkyDgPagY8l4+mpDrmq9r90TBygIlNnvzsyILaB3PPwPCrg8t4cmgeo7q4VSsw1TRw3Vh+HnjrYBjHnI/hepS5Zwia69DC3z47Y4o1LNOR3IoqTLmgxMvoK2Xn5kBAvlc0pB4/HdVQRxZSLxU7gmDkFnhHRLDdDPESQCDBUwWW3cT2AaQ6fztppJvc7w6RqGmKoMZZu4VoKWwmRZFE2UYw1EAvrLtt2zJLABRUaJQ2EXLMKhc2NC/DA7aU/mHwK+8zPK2FAq9Ynn9CjoO/ryY2JQbesvKMr6P0KpcBlJAqf7lbQT4iq/8w/cVZRscXGZZgde/H4XVtoCv5VEGfMXri/3kPpWbdgu1ZH/WXqGu6wd8ZShZ/l352PSfP9neD35I9qdfxdcPdwtrcrFsKibLgK9c6lEst1Dxlc/J5tgcr7bR3zK7UfPsKzHKKrZLUdu9GOvuC/2ubNF8OSAY11HOiruc1uSNXncxJebFCjuu9PjI98CqeymA70oVb7zYccUgX7PXQcJWUS3D5+5/BOvdHrYPTWIp6eEdV92F2MjQ6fXwo7fdg+nhEXzpz76ErhZgfnEdDSrLqq4oqazUwfHF47AzFxrVGKmKJa+NvXtGYNU1KLYKX1vD1PQgRrepuP2mffi1974Fx86dwWjVxqe++BimxoaQeil05oCFwER1CN04xcjECK66/Qfx6DPPYvZsBzWngl7kYc/+7QJ79HULg0N1HF4+hq3OJN75+tdiaqKGM7PLWFxbxvpSDwf37MJ6M8JzRx5F60wLq4uLmBxwcXJ+FTXbgW5r+L6bbxIQV+ekRFcwork46S+jue5hh7Mb/uoKsmaGcCkE/BQGJ3UMic8yrK10kMU69k9sQ22iBrdiYGC0hlFUsb64lCtG0hRVx8Gn7rsfR4+doqRRikPYaLxjYgRBEmL79G4kRoL9W3bgx9/6ZowNjmJ1YQW9dhvnvEF86Df/D7zvB34Mn/zqNzHmxAJfX3v9FnzfTTdgZS3EzNl5aCGz0IDPPvAoVjtdaGxLzTSst9twDNGwwbQMmDUTqqmjm4R4YnYWPS/GSrwId9DCruFd8NqhTILVGqEaMPt8D71OD7O9M5Kj9YnP3ovr7nk/vu9H34KkQ2CTYnp8VNQtVA6tnFrDD7zuTmwZGUYQAp2Wh7/73h9BnaoSThD9BGGziyhOUVFV3Lx9Dz74k38L1+/Yj9VWB5NjE5huTKATRvgv/+WjYqfddvoMzJEGVMuBwnwqghjbRqpTMaSKlZcTSbbVUvGUEIKIRVaByjZbUClFiJCriHTJ4mP2XZ79RiBExZmo8XQFlsVmXF0USASDtJay+oEgJk01cP7LEghOYEmG4oyFLKq0c3o+iy1YFCChcJJnRgUlbXfSqqrymojyjDqN0NEUiy4rXgUS0sHITC9aSw0qQplBaFE2KH2ihBoS0E9QRmtjQrUa7ba56ik1qBZSkaksmqCiKxMAoUCH4gVQmd0VsRFTF+VPxBILMi1a7WgdNfPcNsng4y8I6M6r8HiMqG1kwzDVjtRGsolYF0jH/L9crcbrLUwjRDEbU/PsRC6K8FHP9WvIpEWYLJb5aqQMIjzNSw5o5yWY1RPyC8mHE5VjoiBgYyfD/VNfQA0LEHSXraY8rlKLA53qwpSgTBW4oaZBnuEnu5krwFi4IYoo5vXZhiinWFLAPEOFKk8pW+D5TnKInFGRSFBrIPUyKV0RlSfBpTuBTqcJU7Ny6JRmaC4si3pKialUJHyh1ZoAUYUX5spLxSEcEgoCTa/INkn7LpV1LAJxG2Kr3rFrO6a2boNp2zAYAgoFRsTcSKrV2ogiD7XKEMKEbb57MNv0YKgJxrfuQpYFMKhOjWxkJq8VBRVdQbe1LuCZSjLm0UVsl+YWMguS6jg2rtJKGgL1aoZDh8+h462gNlAnQpWykNZqG3NPfSUHSVleYmNrtHmrsE0XhlIRYGvyJBqutOsKwuxG8CMFRhrLdRoFGqxUgeOoULvMj8y98EoYIooyDIxPwNIcURQaSQLHYtlFDHOkisiuS8mJkrFgh8DPkns96QSIoGPvFpavaGCxMAEhzyk/O6hyDQVI8nirqDo6UDWlSXfL9Aj+zs//NEzDQeD3BDqurxNC1wDdRdLrQbGrqIwNwXQNpBk/RwDVSqGaNCfn15TY52nXtmnbpVXaAu8gFuHQ+sosztBnmzOvthSpzqxNX6zW/Lc0o5LTTKF6tFGHUsqhmoa08komKatrWXjDAhy7xhpvgWsE1yzHiu2KKMVdFn/4GVTJZNSR6izVYNYgbdq0BdMGz0iDBEocSt4fP4eYQaikVNPyIYKBBBVEKTNdPYkToIJSo7edNmVVRbAuzUQIeoko9k2HDyXyG5uq282xOV5Nox/ucBSQhcUJHIXqrQA3/EM1WRk+lW26ZWhXNO1SZVeUM5RVWwU86gdftKaW/5SXWc6ZK/+92J5ilMEUYVEBLv9a425fNhwz+Ip9LQBbefuoYCxGWelW/sP39VtN+yFbP3Drz+IrDx67Moy9kCqDAG0jmFceG7XwlkFdP8gkUCxgXH/WXvFaXgvFNcDjU+xDcdzKgLd/+eV9LopRXs4A+s2xOV6p8b0q5riS8OliZRoXWs9GIOl7AT3LIO5iWXEXKxnph3kXsi+XSzr633u5GYaXCtU+/Aoo7vhZW1a9/42GfO0wklwxO2MAvkpBAVaDJt5+y63446e+jN27JiX7SJtI8ZM/96P45V/+Jayue9BtHaeiVawttcCpGFVntcE6ji8fRhM9jFbq8HsJjp9ZQ68TSePu8ukWRm0Hhx6cwxPPnMM//73Pwa4a8I0U+3fswdzaKjKfiimG4seYaS7AjHX8xVfux9t/7O34sZ/837HSXUbddXHrwb0YsIfQiQK041X0Il8m53NxE5/86n2YObuAimIgNRQ8+NwzcKChOjgg+UjMlIstC6sMc6ftMouxa3wEc6tN1GoWDj93BNsaA1L8EFHxYgG9dBZVs4q0yiZDFRathQ0NIwMONVCYmm5IkPlCbw2JF+LNb36dWA4XlA62bZnOJ39VDbsbw1LSgSDG9117M+qNOtqtEIdnzuGaPbsw257H6twyDp+cwUMPP4GbDmyFMtTAw888hc/d9005Z29723vx/re8Cf78kNje7nvsaTy5eAJTkw30ej56hAYUONWoUEoxPt3A9MSEKEAGK1UMulV84G2vlRZOQjBCpqnxLQJPqODyWhE+dfIRaY3dNjmI7eOjMkFcq7Sk1Xbv1kmM1F3sGB/H5/7+z4p9rlY1YddtRGaIp4+dk/y2+lQDX37wYWR2jIFBFTvGJjA6oOPtd7wJv/yev4W7rnsttmvDyGhP1oBnTpzAM0+ckrKDKOkhDHu4fv8ujA4MYmk5z1ScmqxhcLiOlGI1hZNT2u0yCbXnzJ6KOUIwhZZWWiHFqpdAFRsbYQhtdKLvEgUf7akssKDSMG8+iGTyz4ko87eoUlP982o5QglCZU6ymYlnsXmWSr4IfkjVEdU7tPESBKoCtpkrRghOUAX06JOVBlcpM2DeHyfUbF1VeR/GAsAI3BmCxWVpqQE9pjo0L/gIaVMmQ9eobEvkOiJYyahoY88sX0uFWRIhDdmSSruplisPpWmXqhu2XuZqNY35eWqGiq3B5u/JChMNmkmExxw7zsvzJlVCKwFZBQw0qRQksaOtNpGWTyqD/EQVQJJRpSoZh7aACCrvCB5o3eNyCUFUAhl+nEnbsSlAjSAxpdKN0EHPs9WoWiJYVA1N7MTSXmtQlUe4THupkFtokg1G+MXzwlZlA4bNTs8wt9LzT0I7tS4QLyGgdByWmELRTIRyHgmpCF3Z+EuFXySlLtK4rOk5rLLsXO1np4hCLofHnHhmGZWBKnQ1hLpjL7ZPTSDp0BydISIAzqjcdCWbUCyNBrfdQtxlVh/vP+ZL5uoy7h/Bc3t9GbZNyOTh1MlTopDzvATNLuGVAV9smxoMy8HI+ASWl2Zg2TqaC+egJgGmd98GW0kEuLJhNibyUlJoVGIqCmy7hoSWShaliLWaImxaOyMotpFbnFMfWt1Gr5OXmwRdLy9zSAwBa1T7TUxsg+pUoNqV/LoCCyJs+L4n2aspPCmqIaxmfiQt1RrzCtVUGpSVlPddLA8hOm3aYfNzxzRMXruWEiDptuFUHMCykFnU2RkCkdNmhHR9Cd1OSxSWahhJBighN5Xfg2kLzzy3hpj5e7EGzTYF2tpU51oObnzDa6XUQtNt6HYdCFP02us4fXYFf/hHn0S3u07ELopdq2qjuX4KWdCG6dblIYpmDEC3mHdXgVppiJozDnwgYTlNCxofDtA6TzCfGQIiI4G0jA3oIdapZfWgJiFUyb/k/UpIyQctQIXHNDVAtsjSjijOP7+k0Vszc7Cvqgj5tbso4JCKaV1nc3eaLxc6YtOWcg/JGaVKkvcZ1a2BLe3evA2ZoUl7u2kniNhUzs+PJJQ0RWkD1ynw5XVvA7YGtVKR5THLT2F+Jw9ptQqDGZEWHzKwEIj5hrntmB/Vm2NzvNKjH7QUo4B5hDaiwjoPXZjbVgZj/DvhXTHKkIhqrf51EeT8i3/8uu8CqELhtZG1tKxYKwO7AiSVX1dAu7IarF8dVs55K8BkeX/7X0M1XVmFVrTJEl4VFuVyHl9/BmH/dpfXs5Hy8UJNwuV9KCZdXA4t1eXXlHMKy+eIX8sqvCKH8ELAj9tfzt8rfke7cHH8ywCyDDV5LRTbSphaVoKWm3ULoFeGwhtZostKzQtZoDfH5ni1jEvN6rvY+17Mui42XixUu5iK69f/1QMbbs8LKb8uNR/wxYwXOh4XUt5dCO6VYeDlKDNfSv7iRhl5H7mMBxsXO/6X+4CEYPGVsvNe8Uy+9//4e7C81pVmRQcqenqMRq2C1mIXQzUHv/1v/yUGhw/ggx/8O1hut/Eb/9uP4Z/8249jsb2ORs1GO/ChV0wkfgKnaqISW+gwONxL4cU+GomNtkWvHGDX8sl+r+thyw3TmHl8BknAvCfaxVSYdQ3ecgCtqmCq3sDppRUgUDDQsNDzIlRg4ufe/zbsOziNpVUPX/vMs9h17RYcP7uIXVuH8fHPfxrvev0d+Mq3HxaF1XB9AJHLJlIdphfD90MMTo3g2LHTGEhdLCRrsOoWTJWZfgoc08WZ9gIqmgUviuA0VPgJ3WuqTCLHanVs2T2Mh546gWrdwYjZgJ6EWE5DVBUV65QfTdjwjjUxuLWG2A9lor6w1IGjqpiYmsTymUV4agZX17BjahKrq02xiUrwvqqiNtBAzXKw3J5DwxwUtd8brr0an7//m5gensTZs2v4kffdhXve9Qt4z9++BzuHdkAxMjz40LP4mQ+8Bw3Lwu/85ecxOlHFcqsjgfBU2VEQY+kaGnUN3Y6O2AgwUq9iZqUp54YM6vYb9uOJIyek06K7GOEXf/QH8ZlvfQ3nzrYAl82uKQbcGhIrxv4tB3Di7BG8/uBNeOS5s1DCNlbUdcS2CbMdoTbNnCcNzeUOUj9DxbGwZ+surKwv4Z//77+E//yxP8fhhbP46Q/8GD75F58WpU437qHld8Ri9wNvfCPOnpjBdQd248FDR3Bq+SSyQMfIyCAaV12NubkegqUlKYbIWJgBDxrbbdlCSXudQD8dapJn3FGBoxGipFJXIYCJE1IqeETtk7BhlFCAdl/mttECqedKO1NHGlCZRqstFX5UoiXSPEsYJYUbBEe0WoKATIPfjaGZMRCw8TIHajpz5VJaFWmpi6BSfaOZrD2WjECq/kTRR6teQGlRKvAxVBWkAZVjWt78a2gwFRUxbXtiKEzJJMQKz8IJQmvavam2ZMsrswFjJS/zkHINLS8dIXBQmDloOGLVpQWQpRlU4ugJoZqR76fpiGKOVlLCzcyq5IH7USBtodxvFn5w7k7A6Rhs9+U6+EGlCNxQmXNG5RL3j4UmJltTE1GBidKOrbqEErQcWzrCXgDNInCzJbyfMJoZXyrVhQIUPWiaKYUmjA6gMpOQVzSSvIB5ZHhRZ7RvchtVOXZU3zGTT+A21YIscol9aZVVqc5UDZh2nh3IXDpmmBGS5IAnVyARKusqSyUsAUksy8hoo4zzFl6qAHXDxMSQg/m1pigLCQIJTmhRlhw0Zg+SeXC7dSotlbzFl2BTeGWeKWg6BJO0/3dhVOuSzZiELE0J4NgGXNtBs+VLjh05KPP82P5rVXdhz927cOZRH37SQzU4jk43QmoksMw6GyryBmnmtEURbNeBlwCOkgj4o6ou5s8FlBEEAzThModRxK5mRZpSxRZuuPBiD6bsky4Zfqlpw1JCNDu+FLPwAYIxsB1hc1HuNcfkoyGq6HrIAg0R26F5Xcq1wOPvo9IwECUpdJjSuMzrm9vmdVqojYzC0ivQ4h56cSRwS9OpPqONP2/FJgAVkEnbvhZIIQUfguiVGrI4EPVmwixNmxhRRRiwLd1EbXAU683F3H4eEJTTJq6K2lvzI+iWKW3VVIJWalVRuvmpCY0ZDYqFbqLDay/D5P1D4B7xWnUQ8fKJeAxZLOWIGpj7pJgB4sQQNR/zZSONFmVmIRL20bqdgUGHvLfMkFb7EFlqicqXskE70dA1DVGoRh1PVJJioWfGIctzCAF5vZPSh+n5e5L2eh0G224zUxTO1EJTw5koqigO+UBHVIdJIPc3yzqiHq8hHaaeIKB6mw8w+GQlCEQJbJkasjCSc6gYzDu1YdgGQn7+phkSnqMI+B+/v5nJtzle2VHkvpVHf4ZaMcogqoAufB3BV9l6SUjE7/tz3IrXFSovQrIyZOTvCQYvpCTj6N+m8iirAstZf2U4VmT1lbeN40L7VYzpX/yOWJjLrynet1Ejbb9KrlA8lnMH+/PxNsrDu9D3/e8pty8W2YQbKeb61Yvl35VVmjw/tL0R7hLslq+T4tgW21RMBAn1+s9heR3F8svgtj+XsL8opLz/xXZvZvNtjlfLuFiO2+Vk0L3YvLoLve/Ftul+L8eVzCp8Mcu6nGP1UrL5LnWbXslMvMsdhIf9APKlbP/LnsmnDCkYHq1KS18rC7GlPoDVxS4SPYVnJvjRX/hV/Ppv/gK2bB3Dz/3oz+BT9z6P1nJHXu+3YljMCevEqJtVBF1asQxUHNr2UkyPNdCpxLhu5wGZGN644yD2DW2TVtHKmQjbB4bEbpYHiKcYzOpojNSgxRp2T20HIhWTDE9XVFSqNkKTTkEbv/CbH8Ovf+y/4csnHsIf/fmncXT2GO594NvYuWUSX370YWiwkIUJbrvmBji9GDfs3o2EjbYAzhw+g7fdeRMGhquo6jX0lqmmSBE4EWbXl3BweFoC95MwgbeSwOwQHAHX3rgLc3EXDz56EvaECcvWkNhdLDsh1rwOmoGPjt/D2157LSa2DSPyAwxYg1ht9mBXDPzk298ly3drBnapLnYNjuCJJw9JaYeHCGfOrmCuu46zC/MYGtEx7Axhfm0FK70Wnn38GQzaNTy7cApDgzbu+f434Ruf+l1YloEDB7ZhYIxPGTlpU/AHX/6STHCNCqDZCuJ2hExJJDsr0lP4VCgFPcnvm1tuQc1UKUYhnnpubh7jg1sQehGmdkziP3/6U3AUAxPba3mpRapivduCk2o4eiQv2/jcsQcQJCsITQ2v2f0axEsEVho6cwGWT7XEkqZXddy042o88vTTWFxdwT/76H9AqqdYWlnFR3/nP2C+fQbn1ufQ7HSQBBmGqxVUNRu333RQmivduoZ2N0SsRjg9cxbVldOwh6rQXFdC6xWT+WIsMeC0lR7JTCaempKIolCyHonZBDql51VuqcAngje24EoG3nllm9wXSp7/xiKDICCMypCRpIl6iRN82tgy2K4hxxBszaTNV1MREFCZVOIxuJ9KNlVacgkMJOye26dZoiZMQ1+ULpHqyjJpidPoXSWwsmwBLwSgbBPNaKIUFQ6z1HKIlYY5LGHRAkGxeFJZZCFlDFTPqWLJIwalhVHew1k2s8qoLksInDLodOPS5grAIMgzmHWZh+qblPdy7YQptJcGvuTsUe2oMk9QMQVQE2VamoIwzhV5mc/jwPy7VK5VXpeqmee+qZQDsWBDsgtNsVHqtAzSMhp6wtOykOUBIRTDFBuwyYZuERbRZkvowYIUhvxrRBOS4cfmZGnHpSU3DRCnbDJWBKrJsRMTMEtaeH/ocBXCS8LTBIlpIM5CxL4v97zpurCkQIIlGIlEA1DCKO8ncLEThMxGk4ZeC5pZh24Ck9PTuOcNN2O13RX7cUJrv8JMOVUUhIyQjFMXquZAp2LKpK06B7AaSz7YSkoLqkaYx3ZT5p258Hw2jzM5j+CSIk4NncAU5Sbh6HpzBQvnzkghx9DAGuJHT2DriI96fAodZg1qMUylAsN2mNiHMMkQiv2yhkitShmDT9sl1XiqKhmjbHFOkgA6sycJ0zUHCYs5CH7EjhnDDz1pyj55ZkbUwsw7TeO2LH9tZVnUYoZuIm6t4A133oWJ8bq0LfO+ixMTukO4a8DQI7BqQlFjWDb3PY99YIAr7fcss2A+qUJ7fRgjjtpodpqiQHfqGpqLy5LPmBCGR4nk0zFy0NRjsdt3oxi66UBJPSnQYd4h73nCVL/bxZ7BOkyriizuSEYmsyt5LemSzZg/COD1YQ4cROoOYuvBu+D3Qqy12tCDVRixLw+r1O6ilNOILD5h9iDVxiFMqvL4RIURAiohfyDWd/Jyjdd2JUXCBwaxipA5d7oKh8UwbPumujgMESCQbEIl9mXf+AERqhm0NkuIMhg1EwZxOxumY96/FnxWLIdUITM2gPZgFZlUPMfwCY0NEyYfRFAtbPHzgxsdy/uV5ooAO6YfsOAmtVn7zExCJshmMOWzJJFWcp4bFg4RZuqO3CUAAbeUhARQqezjZ42eZ6hujs3xSo5+dVQZCpUVZN+1kX7wQ9/9H/sCupQBH0FW8X2h7iqgDq2rhXptI1UBf98P3QrlWX9mXLFtRbNuWQ1YtuYS7pUtR4RsZUtv/76W95+wqsiOo3Kl/JqN2mL7wWH5mHKdhV25ULXxOBb7QKhW7Fex//3f98PEjZRtfE8xgdrIEluoDMsKuo1y9DipK8pO+vMBy3ZhqvsI94rijUK92X88inNT3p7+Zt0LAT6uo5x1uGnZ3RyvlnGxHLf+n13sNVcS8F1oOy+mRNvIenqx7X+lx+U2+l5s+zdazuXs7+VsQ1lpdyUA30cuQZ13JT4vN1IYvhyA8opBvrVzPnp+gOmxEZmEM1yfljta027dcS22TDYwu7iCh44fxp13vw1ff+7b2LN7GDtHpxF6tAoqSNoxrts/jjBM0FlvYqnVkwy0IAgxXqvh0NwJ2A0D33nmCZxeOgs90XBiYQV7dk/D1g2Yui6NsrEDNNmcagL3PfOsTIBZbPHmW28Tq99EbQjHlhfgqjp+8u3vE7gyODiM9toqQi/AiDWENx68Ddfs2InqtIvP3P9VNKDgi19/AAtry1jxurh6z3589cEnsNBakolbRXewutIVgFWruzi6NocdoxNoNFzcsGWbZBLaoYJj52Ykm+7ua3ciWcrQW4sRBSrGeg7MVEObE3Bk+LNP3ofr9r8FRljBuaUFVA0bWlfH+378J+F0NOwaHceM2oNv6qgM15CkPrZt34LB6QZ+cmQrPv2Hv4u5lRAn1xbRCnrwVtsY3r8bNx24AVbdxUK3jZ//uX+M9TDFoDaOsbEh7BklBNHRbfcwVRmEPqpiZd1DFKQYGG1ArWnQXBUDFQd33HirwL+F9SVRZiAk4EkxVnfRWmzj5NnTMkEedR28dttVmJ7YguWTTVG6TA2OwDZsmdhSaQJfweu23whNjdHsruH0uaMysYusFBONSRi2LhbnKlycXpyD6RjYPboXUSvBir+St+D6irhY2dw46Dq4Zs82yRfMEOLLDz+OZ488jSMnZuBqJkbNAbiWicNnmlg98g3Yw8PSAKkxpD9RZaIpTZ1il6XFj9lWhsAug4HvBFqqBou2PHpTqT5jzh7fR5ULtz7TpHGWYIfXn0AYlZCCUiZO3NneyrA8NvISSLGo4Xx+HIslqOyzWD6SK9ti2uoYhE+lnxhNfSnf4Mw+SwjfCMt0WMyOc3JLLUP7pSUXMQzVRiRKKu5R7qeVUgnSA/YRmBZ0Knskl4sNnLkSjIM/j0Paj/OSibw5mBbC87AvySSTjj8mnOA55jpYmkE7J1dna7mtlGUkVLkRGlK6pLOlN8qt9WpKdZMqqh7aBAlbaZlkEQrXz/ssItTjOQlYNkPbL0P/HSSqC0YWsuAj9anCYvEEz995UMeMMor0CG6EPWSSD0eFpWHxeEkSIygPtKrUIrPQI5ZzpqgVadCV60LyAy1kUa54U2gJjlNEqcJbAIahiZ2XNkvmtxmWitjL25uThNCK0DAvFyHOJDBnxhjz8mhxpasxDnrSWBy053H/w08KSI0iQ4BLCAtxxE+IvDHV0Luo2SySsBD1CLRiUV2FIY+tKp9HkepIliFbdwmrCbxoKa1YDixFk79bjRy8e70hAcPb9uyH1yO+2Y3XvPlunDx6KFe5UaFomBi3E1ScGuqODhsJXDYqSw7kujS+UmGZdlpIef6lIEWD4doIeF2z5EZPQaNy2mVhCPc9g5aEsE2gUa9IDibFqWFakeM+unULUpsPXWKxtT/wzXsxc25ezi3z7DQzQRSqFLbJ/lMZqFRojXbkumMhDm2/LLnQ9UjWVR8dgBqHCFn6Ah1BGCHqBhgaGUUSd+WcRJkp6kzehTHvV9XC5CBbrX1pt9ZNNimT2ZuiprRtE8fWPfR6a2g3W3LO+LBAFKDSuBJBFaWdiZ3qUUStFmaO3A+fMM0eRKsXY7kTodXy0GVfs9eGFjObErBtFcbQmGQRItKgZEYO92OqZvNiGQ2DQGRxayUD02Dgqwf4LEdhCQsfPqgKLJX7EMCoZrCpBjSomFaQ2Ly9VOhUuer8xkRq6rCyGHaFtllNVI1yzbMNKexA5YOqjGpHWrB16JaDkM3Auo2Y1t8sgt6oQqHtmCVBbGLOunnOaNBD6hqSS8j1yoOMJBC1rGM7UFMqZk3YVCsmgG3oyHQ+ACK8zBvnN8fmeCXHhcAURwHkygUYb/i+m/+aTbVYRgGNCqVav2W1KGYoFFlFfl55lJVcZfhTBn7lbSt+VoC78mtoTy3WV8C5AgQW3/eDvrLKrR8sEtBxnzbKDewHV0WmXhlMcdBeW95ngrHCSstjWthXy8esvGwC1DKI28jey2XMfOzW7653o4zA4rj2twGX94tgtDg+hXKu3LRcvK9YXnmUrbnc5nKO30ZKzH41Yf8owGHxO0Ld/pzDzbE5Xg3jQuCuHwS9FCVbAeGKbLjyzzaChxu1zV7MUroR9Cqv66WOS7H1XulRBpwXAphlcHg58LRctlJe10br2AiWvZTx4Q9+6wWPZQHjCPu+l8f9e/Hw5YrZdd/5E++UAgTbraDX7mB6uI61KETY8VAbGhS7Y4+5faoOPwnRYOi5rWK510XcjTDKrKq6g/VWD65uoZP6sE2GeTPYPIMeapKZVHFsUYDVR6s4NbeMASqEHBNLXk+gxv7BUSykPbQDD3GbljJNJlRUbzVUB5rh4q133oxzCwu477HHMNoYxO37d+CBp4+h4Vbx7NKM5N6RfLz31tfhB976I/jH//Gf48DWrUjtHk6fW0CrFWGk3hDFWJwGGBgdxqkTM0jNDEZKa1UmqjoKDRqDNXTmPMm1G6nWsMD2xpqCuBVBiRUMDzlYanZRG3axPtvNM8QYi6SreM8d78aDz9+P9biF7rKHG3cfxKlzS/DHu0hXWKqQCSRh4UYltXFg2zjUmonjszOwYwOWa2JJ6SDqpKirLvwowfXDA/jgT/0mnu8+iFvufA1++mf+EYysipmlWVy/74CEu7/9Tbfhv3z6T6VAI1gMoUxo6HRCUafFXVq8VAxVqmj12hgeq2Eo1jEyMYb7nzssTZvMxGcj54+9/YfxiT//U6RsP9E07N4xibmZJfhZJqUZ64oPilAI3IaHhtBwqjg5M0s8hN3Twzi10sFKuATHMpC2FAlxNys22jNtVBoOnIqK//Mnfh7/8BP/Ae+47k4s9jq45zV78e9+/88xPeTinje+DX/82c9guDIALwxwtr2M7QNjonKc3jqFk2fOiiXv6jd/HxbPeQiba7m6LKHCKrewJdJsmQnUYQkAYQ0joQjxiHw4mdXZjkFbr8lyjARJQJuljixiaH6aF0XEqSjAooAT/liC8gnyQimwMPJcNarPMiq7WCWRIuylUsZAm5ti2NLgKzlhOcOQVtGUE2iqX4TIaZL/RokXFTKaFiCkejDJm2zZtMrsOsU0xeInrRLIm0ZpsqPqxtAzRKLwCUVtSAADqr5InyjEY9ECQ/xZYkD8yGOVmy2huVTUseHZkNZcAhhO3LltzB+MaTvk9Dz0xPqXR+jleY5ssDVZthBSjQhRq1G5Y9guUo82W2YeskTAQBCnsp1UYmUhMxPz7D0COm4ibfUEGgR0Ea3IVE3SjkglXpogThj8n1sBuY+SkUiVkFOB4vu5Uo+BcgRyzACUReewNwqo9lTE/kxLKfPImKHHzEL5miV5bhwbW2kZlYbTEKGiy3aJlo/FDCqLJVhakcrrVZYOZIoovqiE5DZloY74fIkHS3AYDUj1qELfNDPa+F5iaMOS7DvYtDDqUuhBmEv7c8jiBMMRO7VAHlNjCa48SJmfPY2J6T3QTTaj29g5rWIeW1DXNei9FrZcO4TjTzwHoxdgPjBFobW22kGjZqFSqWJkfC9mzx4WpSNNrZlWlf0y0wQhQSbhNuG1ymKZDCavQyrpeM1HGRTX5oaQXgnAURUqVJldaiPr0c6tyu9N00ZKAEcUTIlj2JUmXKVSg5l6co+ycYWXNL+Xv4f8wpzGDIru5jZnZlVqBKp8+HQ+75L3uKbBYfOswYZa/luhQIsDqNUqYi9G1lyDVq/lwJz3BhKMuA6S8b1onjyCiDRUTWBXHLnPMXY13JXnsBIBFVNHGLEBl3Axb7hmZmBu2LaR2CpYS6+kCup1F81ekIN87gNhrKogCtvQzBrUuIs0IoijBZsQX5GHDEqYQKXamrZsTUGXtnKWxbDIStfQC0O5LgzNR2YOQMloU08AP5BrS+S3Efc7FQt6FmvSAs5aF03gdB5BEAbM4bSk6ZjqOyrqYKmIeI/wHgpTKSBROm0kBIkmy3WYp+kgoorQC0WJHPB3vMUYXxF2oVgVOS9qyIgA3tspoiiEY5lgBwdFflQyG1mGXpzCrBkIul1YloP//jv//+D+zbE5XolRzp3rt3FuZDndyOpZhlEbwcLyewm0COX6l13At/7lcmxkUy0rBIufFUNg2Qc/JECyXwFXhmj99tnyKGyhBYi70P5spJYr9oVQkICK39Py2q+I61eulW2r/a+hDbYM1Li8YkJZTK6KfS6AYnl9G7UB97ckl495v8V3o30vL6dYRtkuXV5O/3Hi66jQK+9TGbwWfy/Ab7Hc4vrpLz7ZHJvj1TD689z6f3cl7bL9oO+FINQLbd//VyzUHBuBz2JcyrH5m3pMP/IqsQi/7HZdN3IEmCSGj9HBASyssFyBqpIE02MOrIqBumGi1/Xx92++B2pDww27t0hBhpmZ6Bo6Oqu0P2WIzRSv2bUdo8yqayrIggyj1Som6yMYrLtAJcWZmSVGpeGGG67GOiGAR5Ch4OTKquSQDYculG4i4fJVvYrQT7GsdXHXrTfhE5//AubXViVPbRHr+MKR51CpUl2iYqQ6iG0DI9gzNom0YuCPvvQn2DE2gq8/8TCap1Ywv9BCM2jjXHMBjYERdOMYJ2dmMFYdkOIRATymJrl/hmoh6ASIrRSO42BmvQmL4eStCHqPqgUDC+seJgdH0VzqiDJKCgmoBAszfP7bn8FdN16P3fooJsdGceOBfbhl7xjS1RROoqFu1VDXXLzt7tvxyz/9Xjw5O4s4rGDcHRAVmRf2sN0YgUP7o2Vh78QYzrVa+Pef+beoNT28++/+An73l/8RbrnuZrznntvxMz/5Kzg6cwTHzpzA1Vuuhm3q8Ow8vJ6WxyzIs5NUIxP7Lyfs8/MtzAYh4mBdJoNGqKG6pS5Kjy88/FXsHB/D1dfulcD01aV1VAeqSAgKjQyDcFF16+h4IQ6MTOL2G64R65elZlhureEH3/xm7B3bAS9MBNJSwaS2YzgDFsYaDQy6Y/jV3/73aFgVrHbX8OC3HsZv/8+/hLO9hmNzPfy3v/pLrDTbmF1exkJnDXEvhlvTsX18C2ZmZ3D3G++SduDn7/sSrIYJo1aBQaJDCMBwe12DZtATKW0KUNhmyowucZNniBUqUM28kFaAV4qsRxUZiyDIj2gjZFmlITZyAieCUlpPqcxjPhttteTsLDzgxNimKiZIZcJMoR7vIbEWsrWFiiJmnNEWGlOrw1IJRcojCFIyxc8bNQmnwh78TijKJ4ICgjz2gTDwn3l4BG9UKBFOgco62pW1fPKfUKJGizBCUcBptiMqtISQItGR+Z7o0Ng2zJZgqhSpKmN2JFkTs8JYOkHFFnMNCVIU0xYLLcs9pNGYikJ+ryYwmGMXenJ8FGZtZQliqq8YIhd2RSXH3EHammnfN9kAS1VjRgs5ISHVhnwvkWGeJ0hhE/Vy3A7TiGFYisCgMGbGV56NlgPRvJWWrcUqrbgs4YhyGy5VlrS+0sKbMNuQKjaLMQJU7zFzkcea6rYcvvJNVGJSmZgZplwrUverGTApQ5R18Vpi1mFe3CG5Zr3zqkfCJZ6kNIHiRYiyHAYRLMeEOQTPFIMRbqq0IrN8gFZQBRGVg54qQDlmm+95XWieK0lLqQqbMDHlOU7hDu7A4PCw2KVp69y6cydWvQrWTzyGs6e/jJW1OZw4PI9ON8aaasGqsvk3wchQDZbmir149uSzgJQ+8AQQandhZDZSVPPMwCxGRqBMezhBrqrCNAgyFRguVVgp1FoDabeHKGCjL1WSOkDAxxIGsTSzHCISuygdoFSbma4piljmDzIOQaUikxl3DEcU6zmBvII4yMTeTHCUstYoDfIMS75GzhkLcWI4PG9cbwCJWFBpwc1SdJueALi0PphDLAL8KIWrKFhrdbF66hBs15U2XB73GkGVCgx1jqLJhxdGIFZYw7Lh8L4N2SAshyq3iKdd6FSoEsDTx1qtwJjmBJMPBqjM4zXmQaNijfuguXkcAItwkgCWTVs6kJhcdiTXfJpaoobkdhBkRizjSV22dACagzTuImNGohaShp//rLIAM5FrISOv1FV02PgeRuez+BwEtMNTHWjG0FxHVJJK3ZQHChK/L8pcwsdE8lSpdg0JwVXmPaSwmJXLBxtaBpv7wFZylnjwAQ6XzQcAKYu4NETMu9Qt+DHzLgl2U2kC9mMqAWOxHFu09kfcyM2xOV7ZsVFe24VGoezrt3puBOXKqrByQUMB+ArA1K/c48/ZalteTrnNtbyessKwKIL4LjD76G99Fz5dqNyB21JWjpXVe3w9AR9BUlmRVy67uNDxKtZZth8XeX7FcSk3yZb3vXysy/tVwDCCPO4Dl8c/5Ry+Yp85mKFXrGujbSxbZTfaH66zKOso73//PpcVmwWUKysSy+sr1lHsc2HrLpdzlBuB++29hWqzsHBvqvk2x6ttXEwFdjnZeRca/Sq9yymBuNhrL6ck5JUYl6MSu5QCjkvNLHyhY3YpP3uh5XC8XBEEHy6p+oqxkbrv1RKJcMUgnzmgYGq4DiVU0G51JJDbcFRkHRWHnl/Em6+5Dh0qcCwDH3vqK2JHOnR4FlurI0itTFR6r9l3PbZPTcJvhphZXUHSi7FzzxZMjNSwFLUl82tufg2BuAYz7B4dxa4d26ApGnRHxfjUgKigYGlYDDvIalQ4ZQjCjmSeMa/pD7/4WRh1Bqob2D20A9eO7MC+qUncetMduOnWfbj+2u1411veBNdR8cDjj2PvxAj2bpnEQL2Gp+cXMFwZRNSm8oUqQba0jiNaYPFCiLjH/VPgsqxATZDWMgQKFSwa4k6M2EvRXm0LwLNoY+r4MDIVcwtLUAguNKo8NEyM1+A2bOyZ2Idxu4pDK7PopB34VoTQjyW3qlqvYUrRYKsWHnviSfzBp+7FgGph95gDg8oV5O24+pAB26kgQBcrzRZaVoAB1ca//cpn8brtr8dP/O6/wEOHv4PqPTfh01/8QzSTGH/09W/gc9+5HwcmdyPsMFA/t36yPVZaMznxItitmdJY2mx1cf+xWfn7xNgglHYkhR2h38KZZAVjhiUqMOYA7tqyR+DLoDkEzdFw4OAWNIYrOLK6hOfOPI/pkSmsttoIFB0f/8KfYvvwJA4M7oSeaXAtC285NIq777wJUerjzOIM/tHf/jHcvfdmUX5QEcV2yLrmAFqEwA9gWi6qlgO/xyB56lsszLVW8PoD1+Jr930DV4/tJleUVl/DrQC2K+BIlHFSKEHAxKwpQjRueQrDUBFSeUXQJuAvgWbaAptoYWaBg2SCEcCcf0+q0ApNahflyiOVtb6BgGmCLtpG+b4gJCSMv1v+IHZdARa+WAhZCCClEHEGuh413RDYwXIDZr3JmWH2HNmSTrCnCajLaBMUVU4stnbCDLp1uW0KW35D2g8VJGx9FakgoYIlsCiJAikbYe4diz24zWybYNg/t48A0dIJtfLCDKqdaN8ldSAr4/oJtCh2jAmoqIYUmy1hHBtjud25rZmt1YR+XAcz9GK25PLnhERU3RFmSRSXAr8XSZkB+UKmE4SShdCmG0muXsKQf4F2zBGjipisljK2WD4XqCSSUg2dNloqhmMBlTbPB5VdVM8JrGL7rQMtZbNojChic68lsNC08gbRVBS8BCTcHhVaGAgYJpDA+TZewlwqKXmuGdZHm3CmE0oSpHDjY6TMUkwNySwTMEjAQ/VWs41Ib4gNOwsJrEgxYzh1B0rQQ2WI58AWEMcm6F5kIYwJU/JyF5a8CKyUwMgU4fppdD2u18e50ydx+rmH4XWaCKIEftNB2PWwvrAGmmq9DhAxj00xRJ0Xxx50jfmObAMW6SQUaXrmPydcYQ+DI5qIIQlQqb5TLQtatYLIy8FjzJw8wtDWqljgDZO95TTUxqIWzTwPquHI5yk/Ey1LQQBd7mWdsMqlLbUt1wOvT5Nty2yHbmxBqBOC5qUpbE0maec1RHs92CYdJWLrZzFOEGU48vwhKSphqy1vewFsvJ71DEEaEzMiEfgaYWLQQk8xkWimfA543VUBj1TMLXkKPD/FfLuDmLmIBF1RgoqposNiGcuS3LwkYWaljUAKKbIc+kcK2sshjOUnJKLCUntS4ML716QNPvJgKAHgWHC1Gg+55MWGPBd6As21ELF4RA+Qxmx8NmHSLq6xDCOU+0wyMkVzayPg9edo8oCAQQHMr+XxV21T8iddZvvpzKFklmwAQ7eRshzDy2AkrCKxEQeRqFU5KH7nwyma1NnAnKlsJWZrNVt+jfzzjD+nIjbgfRkgNk3Zb5OdQV0q/gykVNJGLNhita6QeqRRILmONhWtVEhTMUvuKUrkzbE5XtnRD7Y4qHAjaCvbcAvbbjHKcKyALv3AsF8B1t9oW7yugEn8PcFOUfJQVoTx7+UijMISu5Hltz+7rpzTV97HIgevvMz+wg2CvvKxKRdQ9Ksdy3l7xXrLEKxsny22tX8UP6MltWzPLb4+u3zbhvl8BF6FDflCLb3l7Swfm43ahamyo2WXx6gM7QrQW5zzcv5isaxyjmB5lI/Lr2x76wtuZ791t1ys0m+T3hyb49U6LreN9WJjo1y9fovphazBF7OTvphtudxxMZD4QuvdSH12Odvab3HutycXD2FeaPkF/LoQzL0YyL3Y9pb373sB2D7St8zy+l6pvL2X1a77gV96n4A65hYRDDEYXhtWxWZKC6dBYJCkAqkqpo2poSrWul2x4K1nHt554+vxV1+7j5HaGJyqwUtCUQ+4KyrW1FAsh1RATA4P4ezCCv8PXzKntu2axtlzcxiu19Dpebhm91XQ1HV8+6mTovjqrQYY1Cw0swCVIUtAmtZRoI84wNkevDCEMWlKi6+taNLoa8UKKo4LVzWw6DcZn4auGmH74BhOnlvEjulRnF5YklZFs8rZVoqqbmDnwa144uQZeLMsFMiQ9WLse812zC6sobveRaNWFaVDt9WDYWnwFGCo4eY2Ti9BXE/hr0Zw2UwK4Mbdu/DIsWOYmhjDqZk5jE+4uGnoagRJjOOrJ2FkLtZ7ASwlkGZIu2pjvdvDhFvDXNhGlVPmJIUfR6jRGlaNUVOrOLU6L5Olz338S/gXv/H3Mbsyize+4Xb81efvx7y3Ir8zaTUdthEd8xA3VGitFKGTm8y0ugrbN+HREyeZbYRTMQVwLIXEPTfegAdPHEal6mA4GMNMeBZGzcAP33o7fu9T90rAe11p4I23TeK+xxbQ9Ft4y43X4+TJWUSBgsju4a4bbsHhU2cRqCqOHjmG1+2+Cmc6a0hiD0OVQTxz8hiu3zqBX/rZn0DPV3H/E/fh3q8+BXdSx+JcE2E3wNT2cawu9qQJdGp4AN15D6ENeL0uNBgIqDgTlV4KrWZh8to3obfaRbSyLIorKs0INXmtEXbxTtFo72PZQu5iFTUoCyBiAhOqhjjRpUpNShioiMvVdgQyLMlQ0xgJCw5UNuxSkZZnkrEcwDBzlaClxNK4q1s6koBqOuax5W24BApiCU0Fzwk4Eqcum30ZcE+FkkBBT+ysEmSXqWIr1wWwsXSCtjjAsFXQSS28iAAtixGwuEHgopE3t2Y6FMUXYNANImm2VgPaTyk0khA6AY5URTFnLwzzshzaZ1OTraU8InmeHncuJhyh/IjFLSkBYCpAkpcSLd6ELSnz01huIFY/whQFXgrYLC4wDGn9JTsjA6DFlQq/mDZJ4XVsMqa/NkDEEgs2C8v7CYGYJ8hW2RBGrYao68tnk2XxPJzfF53KsFQKKaSYIQ7EYiuqPJaDEH4SKmlUA0ryGUyxqjr572jTJTRRNcSE7LyXCWsMCyoVl1TOSWYhlY45sCREZOFIFNIuzd9mqFctrLRigbu6acJy6ZCmhZPXEs8hs/8SUS7SPs8iEhAa+gTLMUKvC6tWRdjN2CFBEifQ2TBDpLRbZyw1jqQIxk4NdMIOdu/ajTNzS0h8D8N734hg9RTGGx2cm+2IKlAaiKlGVDRUKwTnMUJESNkcaxFoZbj9tdfh0ccPQWMbMUGy2L01gcFUsREwsziG2YBUjNHWi4QNvZZkesYM9/NjAWiEQ+rAODx+3ittsYWblo6q4aDNa9rvCKg2aA+W+wISe9BZ6UEz+Hk3gGxtVmAvP2OplqUaL1VVKEYNSdjF/MwZVKuuXJNOY0QKdQi9RaFL+6o9hjRYyVVymY6FmdOY2LYbdQToEBInKbq0zWq0CkfYOmXj9HIGM8sLRcRyG6eYW17A5M6dUDxPyov8IEOV1lWCU68Fh+rWmo1eL4ZKK7HBNms/v7Hp00YoeahZbCCi8pPlR4Eun/3syKEdVjAbcxipVk0CiWewXDYOc1kxsi4/r9hqbCBJNKhmBjuL0aPDmZbpyENiU5Gcq+sMhepAfubYSKnSizwBozyHLGEinaPqV82Yj8fzSCtvJ88dNXivUJgdyd+Zk6m6/LyyEHQ92LTysp2aYJfFKakCPWY+qQFFixD3eI58US+qtBAzB5A5nbTfa4wYyD/0fv+/fuxK/O/L5tgcL3oUls7CWnoxuy5H/+/LVs2NXl+MfgjYb9stW0eLhtbye8vrvJg1uFhWuY212MYLvbe/2ZWAszguZasogVcB/Yr309Lb3xLcby0tKxf7W3I3aurtt7+Wbcz9NuVi9L+GikMCyf5tvhgYKyy0BHdlkFg06HI53KdyO/GFGoEJKctKyfJ+FXZq+flHf+t/OTfl40bQSdhYPj/lsdm2uzle7VbRF7LpXuz3G7WabvT+jcalWoa/F3bTC9liX6iJ+KVuywuVmVysYfelrLOITbgQHPubZOm93FFWkxff9x8HNrX/V/zAK2fX7UhgmI47btyH0VEXYRxgmzuCsYEGBi0X10/vx3CjJiH/bCyd87uIqGzRNMTtDF969CGMbalBHzdl4uj0TGA1RWW6Ia2Q/J/61+2/HksrbdR0E27Nwc/+4HsxP7sEne2McYqKWcfc8mm0WgGMUR3eWiC2Pte0UTFMaRwMZ0MEVorW8jqaXR/6mA2/wpw1FW0/QNKmSEnDeqDB11WMDY2hudgRJVu9OogB28GJ+UVUqe4aYmi9hk6PeVE2Dj87C2Utb1Kk9dcadLEys4Yw8qHbCtZoS+P82lER0n2pZ+h1POwb2or1Tg9qL8Odu68VyxlTuU4szmKgXkGvycymDHZSw3JrAY+fOo59229ExdWgNyIkqgmvl8BVKuishmi4A9A6VPY40EwT99x+K5q6h95qiLe89hZUaxX8u5/9eTlvW7dsFVXH577yDbz7jtdiQLMxWmnAqFl428gBxJaCkQkHmOLki7IKtp0CftdHzaHtkqcnwfTQIK67eq+0PH7tO08iM3S4toUji4cZ9wSv5eE//tlncPctN2H76CjawTo+/cBRdLM2dteG8dizJ3Ciu4i57jIa5iBOzp7BE4ePI4g8jA3X4SPC8VOncXJhHovL8xgYdjGz1sW/+Z3fhZE28ciTJ5HoPnptD1OTI+zRlFbS66/dCaWVYG6+iarmyu8tmw3LPYG028dGoegObpveg4GFGRgVHXrFFQhCAC2WTQFzeZ4aSRLVc8zOY1afVFd4mRAn5rwR+DHHLU0IYWwpf1Ak482SXC4q06T1MmSWWwyTk11pzWVmHqR9khlXVHjR9ioTWoMFC7TuxcioHKSoiBNeJ4d/oroLMqhJIFlytIAapivwkFlyVKupEqKfSnMvwSHBmBKkiOIQkaje/NzOKA5Whg7Gcl8xXzKleo4wjiAiTKFZVPtpeRMmLZU8RlSvppq0s1JlRlWPEvnIMlofuRwqVakwZF4gD2OKhDBOCjZ0mLYqOX60SdOGp2oplIorwC6ialFgAZVHBGdsD47FwiuMiGotUR+quVWWBR9QYUnJRIZemCvEIpahGJBzbBGa6HlOHvVHVPolbPf0CfdoEeWCee4J1WhLprKPbcq+qO1CFhOQBKZkUoTpBKKQhlwmFEbMwlP4+ZbDXwEhBEhcbEoFlALfo22X4I7WylzNR8UZFWtrLV8+k1jkwc8S36eCLhMbN095ygxETYVPnknFpqqCdQvMkvTZ1Et1I8EurcXQ0VlfEXXr0mJL7Na8vudnT4lFme201ZqLmdOzArtGbAPZ/H2oGgs4cXIZEWGrKA8NgYm0KLdjR0CUCCEJi1lEYwDfeeyQWNmpVoxTC65ZgcJWWhbCKBmSwENG5SSbdakQNRWotgst86QFVo9YypAgjmK0vRjx6mmoRiQNzFBMRFGGlrEFWcwWX8KrTJSTDuVuio5uM5JrKlVDJMtnxaZsVlxRuFJdnhnnlbpJT0DY9JY9GBgcQqVRF2COKEBIpbWbl0lYbNBNUymHYrPuxMQUlChGjxZbKlXjEL3uulj1nUoF82tUcirwIhVxokFjFl3NxNDgCOAxF5Gfuiwv0aE4DjSCNF7ntPy2IwHRURBCTUMBX2wWTmwbiWrAC334bT/fN9p3s5bkQAYshPFjyV1MuxFCvjehrT0StbgepggyBZGZCpynsjHWqXbN4HkRdCqR0YRvsU2YINEXdWqo1ODHKvyYD3D44IrqPE1stFSpaimVtCo0Wm4zE44ayu9Ti2UntLzTrq4L7CSoI+jTY0/y/ai2VaIIqaJJ6zitvIrjymeUz15100fq1mFTUcjPLCoricZ5qyfMOGVZ0Wa77uZ49YzCWnqxPDz+rFCmFa8tAE2/VbcM0cptt8X3BEXlUQAlvq+/aKGAaeVlltV2/bbUAiiVrbbF68r7tpGFt2x1LUaxjwUsK97LdRQ/KyvhCutpudW3vF3F3wnCimNWlFv021oLuFUo6O6795G/tryNcgz5Wu4D//7x6P0X3P/i72W1ZNlCW95/TtwKu3VxfssAr6wg5N/LxR1l2+13VYwf/a2/dmzKvyvgYFHkwuPUr4Islv1CasDNsTleznGp6q5L/f2lFDVcqCjjpcDAKzFezDZcTunFld6mSwVPF3rdxdRv3+v9ernGRirD/v3e6DgQ8L0YheIVg3wDqgkrU3H/04exuNbByHQFc8tLWJhvYn9jFEdmj2B3Y0zKBte7XbRXu2j3fLF8OnULnhfASRioHaECQya3zCo6N78omUc7pibw9LlDuPG6neipCTrtLh46/CgiP8S+7dvRarWwcHYe53prONxeEigoOWMqgWILxoCOdCFBaKfQ1zJsrTZQm3YQGzH0iNFLOTzQKyqamYe410Sz08LC4rLkcNFC9cSR59FBD9dv2YrEzdBZDdBrh9iz7SCum6ij1e4ipsGNtjCqS4IAK50eooiAAGg4LmLJHEtRG7Vw444dMGs6nl04jbHBhuSQPbFwTMoc0mEGUAGdti/WVIOlDmseDi+vYGqgAd9Yw1OnzmBicivcho7R4SrecNvd0Koq5r1FbB9vwIs9dHis51bRcBzcfPU+mIYtTb3Pzszjk7//UZyZn8GW6QbecstNeODoE7hu50G85/W34+++7Yfxl88+LSChu5RgZ3UM27dMQK2ygCBDVlWw3uuJcokQgggMdgg91VBpWBi2dZw4PCvFKa+bvEpKR6yqjfsefBKzq00MDLpi0+yt+Wj7Pnqpj4n6CLaPDWLdb+P+xw4jTkO0lrtYW+/i0bnD2L1tDFsGB3BqeRlzi010nQALKz38l099DuvdFWlyZrNsUwkxPNEQddTC4hJ6CDA+OYFVw0Nqxmiud3Dj2FWIBIjQAWfiO6ePwbR7qLg6VNeBWqlL7hzZgoAoybyj2ov2QE6MyRTY1JrklkICItr8CK4pnqNETj9vaSRoo6WNZQt5gJtcA9L6mXHCmxvdaP9lqD+htqxWMfNsv4SAxIZmcaJLQRxNd4R+zKQjYKF6TgWsikx+qailQiz2I4pokCmxqHJyye75jD2uSUpeFNgm10OtItVewnFlf8JE6jjknqW6k+2ZvDZD2kepVOX6NeaoEewRblP1QzsmRWXMIaRgj/ZC2joLxaEu6jfSISXh9aIi7oVIU1pVDQn6p7qP1k826JoEWARZmi75npzgy71qaAho6ZR+DDH15h9oko2XidoszqIcNhK6KrpYWckVVcIiqg81greMxDoHCUTrWQYviKFTFpaxcICgNJGmXCkwZQmEkBqqCi0oVGXqVCAxKy0S6EXEScUhLcRiLSQolRbUTLbb5DFj2zKViJItyFYGWhgNeMy1ZKAaQQxLTQhN5HpQoDm0QDN7FBgAz3GKSp05koRijFCjeozXowbbYvmJA9Vk6UKE+uCw5KA1BocYEgfP62B6aqeAJh6lbie3R8ZRiB4q6CYulhZj6EoFRqblduaIqkELak3Htsoyhq8aEbCW6W5uB9dS4k0kiSvt2IqdH0vJ2UtFc4hUVwQqpsw9pOcy7iHu+EgsWxSRQRQhzAwpVqnSxplQMZlnQ9pqJBZ1q3UcSu800iCU64/QLqI7mirIlCo+Ajra0QnPqQ5lNiCvH5b6+tD4CCDl572GLAugMANOM/N/M8z8/tdcQ1R/Ie3DiQbdtqRVVrILTAVRNoCk4wnsGqw34NBOTILGhwFiK5dKGagsJQliUWZSNqtTUccPdlWFT5UucyhVRZR9MWEz70EbSD3a4KnqVaD6bSmsUoKKfKYw+5UPDQzHhVplrmeKkIUyqS0ZkEzTNCua5DQqRiqKSpNKVir42MpbcSCCPbGK899JFQFq4IehlppQlYY8BMj4vaYJmM/iAEnMDIBErLaaniLo8QFBgiihWjZBpLCww4IRdcTyL2CPrbt8YBKnor6NEl1s2mzspelXZWapbaBLNpu2kVoWk0qRqRa0iHmj/BxkBiFzF2lDTpGymEhhQc6V+r+XzbE5XvooQzYOQhUCvTKY4s8I4ArrbRm09Y8yCCpy2srrKhRy/FoALqrIyqOs8CJMK15Xton2w58yuCsAXFkVV26RpWKsPz+wfx/6R9mqWlbh9YPCcpZgAUPLEKywLguU++CHZFvL7b/9ULSsfCtGYVcu5+CVVYBF+y33s9jOfjUfX1/elvJ+F9tbtuIWx7qcpcj3l1uLy+eP57R4TwH7vtt2/NHf+l+OG1/H66r4eWHlLrZroxKWzWy+zfE3ZbwcuXcvlNW30e8u9p4Xs82//q8euOC2fa/HxYDalTj+FwOqV9Jq+5HLXNaFXn+ltuliSsWLAc5+pd8rAvm6HR89P0RFszBRrWJlvoduL8DUYAPfmZ+FkRh48PgROBM2aoMuzFELSZBIvhxtkQxTT7fYyLoJbhi9Clcd3INP/clnsGPLMGzNwszSAvRQx7Nzp1FzTfzfv/oPcebULEaG64haPupODcOTVZgdC5anI85S7B+bQn3QQXXQxPpqV9QrxoQOo2JiKevBTyIESzHSJidJIRpjQ9g2MpxbH3U6jahwSmEMGXjHjbehMepgYngIzzZn8Js//3NIQyEwOL34PJ46Oof6VEXAytTAODJTwcEDuwS6jYwOwnANtMMefuT2N8OsODhYOYDHz56B303ykHdq1UKgMloRKLHHGUVz3YcBDRW3jiG7IpbjhjuIZrSC008fw0hlBEcOH0W85OPArq341tP3wlbyvLjBWkUAimapOLQ4g3pi4rnFc1haXYSZZDh64hhmFlcxPTaCb3zleUSBipuvvh6Hjh7HJ/7kXnz6y9/EB3/4B1EdckURdeTIDGY7y3BCA/WKA/iMXMvtuzx/Z1sreP65GWSGgrptY2GmC4QphgdcnFmYxYnnZhD1QozVK3jXHXfgfT/293D9xC5Rslm6jkHTxYAzgnYQYLm5juuu2o6q7cBPPVy/fTfQ1dBVelhc7MokftvgKK4enobualhZauHcQlfUMY7moHOuhT2j28Va1s5iNKoVrM2vYdikjU3FdVt24aGjh0VtMustoeO1JQeO9uMT3/4KnIoDo+bKhJ9aPXHCJZ5MzrMoEJUUlVe6EooSjBNdWvBYmiKFD7Rl0s4qdxhth8zkK0oouDADmWIRIUqWI+eqVBYRwkkBQJY33oYkNywpIDBiMylVS9IMy0PLHLhI2ndpQSU6oOqNyjGT61JjKLYNv5dn2YmzOoqRxLS9UdlG5Rg3OpUWW24WW0ep2CHookqJBTKEmCy6IBRjTpltcNtIDpn5R8BI0R8LWVgWQ3WdIVZmP6CIjiq1WBpvpSQDKUzm7VEwRXWuaSIk3GPDqMHMNCqtTMnYJIRJCBXZxMsMP1pcYwWRylIFU8CjaeVfbYIwKovEugokhI20aErDJ2FL3hDKll0WAhD6kN4y41NJQ+g1qh7ZKBzI+aKajco7FjlQSaWbBgzJuksF5NksH2CJAMEWO5Z5vEM2ILMNN0NCIENwJy3NuZJPqDAbeFlMQNEZmAenIpbsubzIw/NCWJJRmCHhcQRzD3XJEk2jEHF3HQqLUwA0WRzCiy0OoJsWsoaKONDgEICktIIbEm8QeyRfVM0lcjwEtFD1xS2wVChBLCpGr+PDYYOrYiA2IuhZF5ZtwHGYyWZAUUMB08xY07wUs20d0dluXvAhhSDUEVqIExNh0hV7skGTtxpLcRItw4SShmRQ6tBs5tPl1zMtuISHofiK82bnWHHgs9WZ6CsJJR+RZTVsi6aKTmF2pppCZTEKG9szHRZt4loVadCljhOG4SD2M0Q9ZvClLIJFrLOFVoFiucgsFk5QUs3SGRZvJJJDyRZgrxVgsEpYSLUZDdgQO7Reach1poaLcs+ATcAEioTPWSDbE0VdeSBA5Wo3MpEZFgJeeyzZsaqStUc7OxuVM6eB1KrCYGOy3Cl5uQ+Vj1TCkedRcUyLecy2YH4m8t4KuwiTAAEVuEEieYN8QMD7m3b+wMugxao0XVsVguoYahzDrjAPUYVu0aZNFaeKIGa2K0uBDGhWhCwNJZLAsQmKSaIJs024FSfPFEwN+Cl7PGy5N2gbp3o30TX4WYBAHxKIH3kRNLFiB/IgwNA1qKLq1KQshVb+uk3gy0ZdQlhVLMNi2Sd0572v8H7NtyFzWdhUk7ISbvd5rr85NscrOjYCXAWAI0grq/UIXAqwRyUef18GQwWAYd5aWelXgJ0CkJWVfoVCjj8rwF0B0fqVheWA8PI2b5T1V4aMxbK4DWUlHPehsNUW6y3WVf7aXzpS7NNGTbRlVV55Gf0Zhr/U+FVRu/H1RSNu/7rKbbvlUo1iFJOmwk5bfF8c/+I1XFeRNdh/rrkv5YbhfsUd96W4HjbKQOTPC8Vi8bpiufx7ocos23vL+7eR0rK4DopRLL9cUlKGjmVF5ebYHK/m0W9fvRLQ6Uot43IKQ15obKRAfLkA3wu1DV/oZ8XXlwLFyiDrpZ6XD1+hXLzLXc6F9v/Fbs9L2Y8rBvkSJROwFisZ1roBqqYFR7Ox0G2J2mUt7MEYMWH5VBqoMAIgcYDlVhejwzVEzRjzj88LHHlk5jAef+45/PjP/C0cHNyBzGZgfIL1JEB7yUMWAg889yyuuecHsdbs4mxrWSaaIXsdaw6CxIfuqTAnDHiEiLGCcU5gt2iwQhVB2EWwRuWgjqlqQ6xYV23bid1TO3Do2bNwbR13Xn0tqnoFip23ZX7ziSdFmXdgej+umdqGz9z7AP7Nr/4ahqwxKKsZPFXDDWNbESwHOD43A90ncIgkVJ7tr9t3T0FxFXzyvq9I8P3JtRP4R+/5GbEI1hxLrEw37tiH4fUY/rKPRx49jH0798Nu2JhfX8FAdRjt0MPrbz3IOkUokYsfedsdYoPcv30nMsXAgGpg3+4dcky++vBhmOMVsRCueT0MVEcFwvzBF+7DG249CFNxsbzSwrcefhY/8u434EuPPozv3H8Y06MTuP7avdi9ZwSJ6qA928XE6CC0AQVRO0Y38NBpenBMC1O1GnkVjEEDlaqLmmXArppY7wa4evsuDNZc7Ny+HV21hetv3yOgcueOYZydX4J36HFELSqfVGy5ehp6ouO5mWcRtVL8yi27sbU2hjCL4WYmvvnsU/BCD47iIsg48VexbecYHjx9CvPNNZxdX8P1+/ZiyKhiYW0Vg7tHsLq2LJBW6XiwtzZgVhtSlMCyg4X1JQxVXSmL2D28VSaLg2YVh4/Mi0LrLjeAToVMtS7XNPPxOMmlSidODbGzchKfih2XyiraRwk8qRCj3EuTzDy6SFmmIUoyZoExu40qNf6Mf6RohcSHll4dJn8WUu1EYEMrnC52PLFrir2UCrq8xZcwLZSKUAKSGIpkeBEMMAeMcA5IezkkzE3FuaqVsIyZc8yTox2Yx0TLMsQRyyHoF3blmhQwxCIPRRVbPcsbUpaGRAm8bjs/FtAR+IlANQbvC3BkcUOcyr5Ql8h6EbZ8Ms+M2xqy+ZRh/IShlL1x00LaW6lcJUHIRMWr2SxPYEaeKdZkqjJTJRBlnUADaVpNYNu0QJtI40DyNlWXBSeM16O6ELI9hA9SbkKZYhiR5YiNU2AKQWs3Ffu05fJ4E1hQeSQVI+cbgMXsmW+7QZgFASW8uai249dUtaR8gqo9i/Zliq0U6gj52UjVpib5Z3K6M+bmaaLq1CpVAccEp1Q+EdAzw5HvFWsvVcBUouk5iKRlVJGSXRZCKJJfF4Vs685gOQYCFrMozPHLoLL8RWXpBktNaMWkQqwFndmHVkXs2Flqgsl+QwM2eiw3oh3X8xGKojKBx5KPgNZ2lliQVabYdcvVcKb2wae6SxxjhLTAVft2wbZNTDZ0AYpUfTF4UbFzuzKnkb5P4EirJtWYjFCw5bVq2M4LF6jWdPjPEsEPz44Gxa5AYZ6iaorCzsgGRL1nmDZigu7Yg2uwiIUNsbSs20DCOgk2NydiJyY04vmzCG1dE2sLs1CiHrSoA435eSHLIhKkVKcSHBK6Ul3n0w5MK7Kd2/DZYlsdhp+oEjshzdiWiSghYDUEcqnuEAzTEmWhbqhIqATldtpsHk4QKFYO+Xhtd9aB9V6ukuOJ1ahg68mDBV1apg15QBBLwzaz9FKYVoqI9zLt0yIGzgtxpPmaV6qqwZAmb4oODYGauljBCcsUWFoM9BREfJ5QsWA7BM4KEj5MYLu2yrIlFVEQQIUn+bCxooji2ibwD1TAC+TfFiXk0wMCfh+a15KSFCSMt2BjMBV5mjy8ok+en19ZmMK1WfBDOWoNvpfA4HHo9vImX1OBZvIziHAV8NabiAOeQ0BhW7LFY5I3/sr1vzk2xys8+gsyilFWZBW/7wd7HP022TKQulBGXwH6+tVhHIV6sH8bOQqraFkFWNhiC7BW/LwAWuXmWgFmH/0tgWB8XfGeomBio30uVHDlAowysCsDMC6DE5rC2tqvPCvvVxlkFU27fD3fX9h4LzZR4mu4nmKZ/HsxOeM+ct+4TMKvArT126B5jMogtLzfBVzcqHlxo7KTAuqVz3F/e2/59cV5LNt++6Epv+c119+uXN6HsnLx1dIIuTk2x+Uo6F7K2KiA48Uu44Wg1EafBS9mPS/0sysNUvv//kLn4YWgVPE580KfNy/l3L6Yz7IPX+J2v5jlvBiV4JX4PL5ikI9Ns2qqorXYQaBl8KjaGFRQrzkYqVNdkeB6rw5fp82MfzJs3ToCx1Zx7vSazMtol3r3G96MxfU1NCMfa70unpo9hg+88Q145+tuwORgAwOVUWmLPXvyKE5+5+tINE5qDUztGsF6xxfl2vjwMIK1ECdOL0m74NpyF6GmwFsIEXZjhA5D3xXYjobR8UHUKxaOLcxi3NVRGXPQnQ2llGDb9DgaqGL76DZUxgYQrCb42qOP4PDsDAZHdBw7ewwLa/Owphg47uOBo0fxoz/4FuzbvgtToyOYGh5CAw7CzMPKs0sYSWsyeTzQGMNCr43f/tInZOJ1zY7dMBUNk9PDOLa2jsZkFe5UBbOzZzHhm6gMODjTPIetk2P4089+EXPLy/D1Nn7/K58XRVU4FOHwmQUcWWvh+eMnBYjeed0BzD6zhClzCDvHtmIlbSLoONg9PIrPfetJTE6O4V/+q3+JHnpY6QQYcHU8de4wAlvBd44cxpceeAzPHTuMtKHibHsVzpALRJzVKaBnrusFmGmtoa5XUIWL7pqH1W6Ihu1i147taHZXUB+pwey6+Pl3/BAWl1elvfHo8SbWwiVUKgmqIw7GqsNYOtMCPV1GpqCrhlivbYdRq+On3vEDmO8uYbpRxV1XvR5LwToGJqr49Q/+XTz13HEM+XbePJoCFUdFY2QEE9YAlg8tiEpxm13DymqIgXUVB7ZN4fjpZckPHJschFO3Rf10Yu4M7NSEpVURMCstyvCH37wfQxUNRsWGTesu8+uUQmlDK2cqxRQSCC/ZcgRQxBH8P2yDbltRcjGvjq2ymsnsN0XKZ1i5QNUWIRQtpAQ9LOLgf2EUCdBRWf7AsHrJu0sRx3QJE1LkVkGBDRkhD92DhFemlGDw/qEJLg/WU1EdopqJ6kUqkZhJpkKlPY8qNioUqaojhGIwP6MBDc6kmb1HKy0twgSahAd5Q25Ka61mCDCQVDiFqjfAkMZgggwqthQBTAmhXOiD7IK2VN3KswPFX6tSW8eMOR0qi0cIgySmjyCSoItKP9pWM5jMpSP8SAJYuiHlE0Gaq8DY1OkHXG4gFkbVNJAFtBUSkjHvjowpEaAURTp0kf/Rgk0FGHkSzfWEeMw8JPynqjaC6ajQCChIsOIUid/LG4P5M6oh2bicnW/PVRKY9CMShfBg0PoY+QKyiF4ki5AiSA3wCYXZdpxkiHxfLNaEgrTPMqePFk+qsaSjltZvni8WRugGLIOeZZ6jTG5DjcU4BDuSwejLg4+Ex0nJG3vZ6kxbtORGqj1Efk+Kisx6A1HIkiEeZx5Xn4Wtcr4i5joGrELgtUxlFTPrGtL+mmmDqFQqGJ3ejROPP43O8im027To6mLdZmnIkUPHESYqZlcICXWkQZ7NSAs1M/10twbpkJHyjhBZ2JX2mqjjo9PpgfieAIuWT6pfDYu2cqpL20jNPP9PC1JMTDHLjqpCWsZTRMzHNIMcZLORmfZQKl0TBgKIoFgKIKiCW++yRCZCozGAMHWRmq4UWDBbL9MtaWcn6FRVRz5buX8spQiaS7KMhLCzuSTXpcrcyzBA3GOjBdW6ueU2663TK4+IjddsIkryIg6CK1GXUuWXelKGQzVrokRIQkIzBTqvK2ap6rQK85LyYdIu6wdQgg5YLU94p2cGTI8wnS3RvJj5OZLBMlJpwfYJyankU9gYrQqYZilHGod5jiCzGiMDWdOT7EBLS2BEPF9UsCqAkzdtK5YJxzUFnBpJDC9SWEAOs8p/81KBdVlmy2dwpFekMCWLeOx5v1K5R5BvSX6m3E8st84MDFQA1W8KWAyDXn6cDQc6QR9CmI4rClhGC/D+oF2c5S5BjwpgltTwE2QT8m2OV6ea70Lgr9wUW7xvo9w9sWKeV6GVAdJGsIsqvPJyCKKK9RQ/L0Of8raVl0vLJiFbsS20qZbtucU2lcseCpsnf84JCV/fr1grg8Wy3ZajDDKL5RXLLKvVylbVYn3FPhZgtAyqqIIpW3H5Pv68DLnKmYbFvvFr8RpuR2GVLZ/X8vaXlZrFNpdfx+/L6ynDx37QWR5lwFcGeMXP+5WPxdcy+CtbhssqQP4hnNwIIF4IKm6OzfFqGP0qs8uBQBcCbC8E9gq14Aut91IsrhfKB7wU+HcxwPa9tDD3t+j2/+zFjAKCFQ90LmdcKigtL/sjV+jhxUtR1L0Ym+6VUCJeMcjnM3tJ4QRfFbjBScfqXBfNVQ8Ly12BE8/bgTT/McjbZGFFy0e3ncqkNw1VjBwcwTcevV+aWO/cs1VC5meXm1hZ9HFueQHX79wFrbcOL+xhpdlD2OmgklbhDFbw/KGzknW1PL+K9V5boERvvSNWUwbG00KqaQoSV8GgacM2bLQ7KR769iFpDaWN8FtPPi9Kp6GJUZybn0OcOuimPaz6axhSLNS3VLBr+3axLH7u4cfw2CMn8O7XXoct1QGMuKPQ1lN8+rEHcGTmBJbjFp46dgaL3RbczMLPvfcW3Lp/XCY6x2YWsG96DGEzAPP9v338GTg6cN9jjwsEee3urYj9BF29jdNpD+vzXQS9GLMrS3BsS4oBDl67CzfsvxHX7NmOw88uYkvDxZtffxOG3AHsnRzBw88dhzGmYNvV01hZWsNOk+tWMJe0MTG8Dfc9/iTe8+N/GzcffA2++sijoiAyLQt3X7MbsRehUnHx6OGjsGsGfur1d8i5UBmwT8ATcR5KgMAShwhrC6uw6wYG3Aq81Mfi6hKqbh2La01cdcsW/MGnv4jbtl2L7ZPTWOgtQ49N/N6938Ch0ycQVXo4dO4E/NiD58UwUuCc38Mpwko1xtbxafiqhsPRc1g73Ibi6fi/fvtj8Ni4XI9xcOsU/va73onVVi/PbktDXLd/D/SqgQW1h8SMURm38OjJp5FYCXZeM41MHcbrrjuIu646gA/92N/BO954MxbDObH77t+6BaEfwl44m2dKmVXJyxN1T5oXZHCmyuIHlitw8kwLIuFgmoXIYubEpbBcAxmtbGqWq/EUwsggt4wbVL4xZ40WUnoIVQHkOif3ip7HftFFSPKmZNBJiWJCBIInKuOoLCIyZfgfbZ1UlomeBoltSDYWR9eLkBECZokUIzBfi2sl+OK+KUqMlApFyRtkBhmtvRTp0e6pi6pK4vNSgj8TlqlBVzIprGAGG0GjYtJWDJi2I9BP8Wm/06DwHncICZn3lSGKVAGc9B+KSokHTmetZ14aoamxFEiIEjHsSY5YnGYIafujbTGj6ouqoBC2w6xDloEo8h5ejyxwSHos2tGhawYisk6qnahO0nQBWRKB6LN1mPZF2QA4hCzn25K1hKq3qgBInl8CGcOx5BwlUpRCxSXBmwlNswUyUI0WBhEsVv2y5EGnUtMWSzWhGstEMs3N7Z60JkeZfA7R5ihhZZwoUJkpak4qFmlrpYaQ0DFXHrIsJDqvzOLxIfCL9VztyMQARbFB0SNzFE0CVhY2xMyRpOKJAMuCYlnIIk8CF9nlQfsyL2Va3+OA28TSC18AIa9ZhK5AvdmzbaiKgyzpCARfm5nFYGNQogoIT3ltmLwmVMJX2p8TGKYJLQlg0PqpOQKgFeYfBikcWr01XQA3DBW6kWClu55b2tnEnOqIqJTlrtNyzQzEUIVJeJdmiC0DM6eYW5pIXiUf6vAjSVRxtOcmmsBhyWCkUtLhvUYCmoha0HCr8NnhItb+BFGzI6CTlJtq1YyKPl5vLNygEjLuIPbXoVfreU6mwc9A+aBB6vVy1a5lybGEx2bcUK4v2uEJ5dO4I6A8Vm35N4kRAFReAg5iqej2JSpA1HWpgZD5nMx3hCP5jTFcpGzA5nZp+b0SEs7FGQJps67m5RYx61UIrU14WQRD7h0q8AyoNm2+vAYz2FVDSk0sFoU4sZRzaHEgmZOmESJLbSimLcDdcTP5XKKiD0YIVaIEqPDUkFDhSCybKjBNNmITGqZ0j8Ox2ObN99HibYraMfY6osLVqdRTIrQ6/CxgTAHbxU0obChPQvihgijMEHc8UZzyIZjOIhdm8nW7OfjTDYlKEMXx5tgcr/DYKNOuv8iCg1CKUKgfwHGUYVZ5uRdSfpWhXWEVLTIAOfqbdTcCjuUJRAHvily74mcFaOwvieAoq+/+Wk5cH3QrwFJ/ll6xrHL2XgGkivdfKOuPryOEJDQrYF4BJLlf5Yy5Mgwsb0dZwVY+xsW54Pu4juJn/eek/H2xXK67/1wV21aUaZSP04WgGvMDy3mMheW3XNJSHNcy8C0AXrHPPNb9WZEc3K9Cjdn/+0013+Z4NY8XC/YupYCDowB6FwJaxfdXEqxdTjnIRtvzaiqkuNzjcrkg61LPY3nZH76EdVzq597ftM9HJZNKwZc+3v2Bd2LvxA6cXDkjWWoLrTZG6jYs3UIYxdIsy0wllaoLTvKSGHsmp3BqeUnsWcOOjUgFltlkm8TYOjWEszPLMlGngoPFEp1mD2ONIRzYehC1qRtwy9YQ//F/fhKt1Txn7E8+8Vv4O7/465hrN6GHGRJLh6kqGNBqiBQVvbSNEXsII+MultdW4fuRgL44auGq/Qexf9cUWh02+Xo4cWoB86vLaC77CI0QI04VrZ6Hg3umcG5+SdRTWZDglz/wQ/jcF76N19y5B9XIwQ+89634wf/t16T5VGsDdx04iAeeP4YfeO1W/PFDh7HuBajXHQk936qNYiZeRG8mgmkruHrbNI6sLSEMCCJsCbFnjhOhplNx0e54GKra2DWyB8+tH4PpqxgZHMBqt4mpiXE8+cQR1EZdERVV9Sq8uAPDsNBLA5iZgu3TYzh1dgmjQ1Wsr6bwNB+2peDAyDhOzKxAs2y0tQ68lRi7hqdweu0cdu2YwrGTM0A7gWezhZgggnlOtAZKQFOer+YyyFDBdK2B/Xv34snDT+PH3/FePHboOehJgLfd9Qb88z/4Pbzp5ltw4uw81tpdBK0IAdhemaEbeTA1Azt3jmN5dR3bqpNwBkexZdrA1595BnBURN0Yq+dWsWd8P86uHEGWWdL8yQnuzvFRUaJt3T6JqlrDZ7/9VVFa8VhQBZIihjNk4wMfeD3+4BPfQh0OJisG2paOYXMQz5w7Ap/FCVS3kW0pKXa87h60VjsImuuiOGKBAcFQmjA3S8nLGAjAFFWUbMy8YgsmbYoCCmQOGkmmFjPiDMnPo8yP5QPMzaNCxZOJOZsDiOAMx0TYI2wxRXlGuEXqJzlWbKYmFEpzG6hoB2kLZglHSutpKrCNNmVCPLGUahniIJX8vJT2O4IkqssIPRhur/iiPGQO3nlTqmTeEbqJE09aWqn+y9uGDZ0ZXAQyMVQWzMSBWArFekvMSODnsmiB+XW8Lwn1cqskQYihqKLypWXdZKNwQstoBoPww08YcSZQLy/PkIoCOeZMqpPMLoXAUpWSjCTsQndtJFT3ONJiIRCL6jk2uVLtQ7s0oSYtgWwIZjkIFU8aYUXEFlqWmeQtt/8ve+8Bp8dd3/l/ps88ZXuVtOpWdcM2NrYxNqYYOzEthBAS0ki7kFy4lLtLuyPhklwu9QKXkKOEBEIINRCqKcaAu2XZlm1Zve1K23efNr38X5/vaPhPnltRbBmbZH+8jFa7zzPPzG/Kat7zKWJ/lrIGHQqzF/leUWKaAmqQWkgzQiEVCQsJmAuWsGCFhSt8PJAXp4jbWc+PDe4x0VGyaITrxAkNPBhUKIm1MgfEPK80LUZCBZ9PFWAiaibP5bWB+5YNvwRzLD7J54tkkvl1tI0TmAm864TIbIu4FzqPjUSV4gRwfvk5JGNJIiCUFkx+TdgrhSixAZPtt1U5bWCvvRjB6SdgKRrcQIeh+dArAWJ/I9T0DII0Qc3kz0j9K1AJYmgPTlje4AN6TeB0mLRhGY4oVoOEUNoTkGTGVHUlUMIEvuKj6tASq8IMEoRGBapC1SSVhcpZBWwqUNmQUMxAGo61Si9SquB4riiG5C+yHIeFFjxKmIsXu24OZukdpx1XjJ7MoWSpRF66ZNUchKEvVmkWpoj876xSN9UrMEVxqktxCB9iJVL2QoirSGMsTNrEVcRhDq0iJYMRKVDMTNab1wcCdZtnrpVJUYjK4ozWMiLdEoDOsqaYeZO0iusRnCwV6KWrVPkSiiZIWz6MXgsac/Eytq0AKktC3EjUsmnIghauF0sz6nJtVpQAhmEi4/UtNWCYbKzmNSRGzO1LqODNYCGBR0jOhnBp+ib0VqEyWzNJkTlVyQJU2PadqvC42/mQoULlb4K448ncE44nMGGaKVKXx4GKmNbwiOeNAltjxqIuylvJjYzOxgFYOmwthh8oomSOOsxmTFAz1LzshDDf4LqZyCIfqaHj/e/8m/Pxz5fVsTqe9GALawFxCgVVN1TrhkNla23Zdtqtwiq/9lwtqPxcApuihKH8+WXlHNeRUKxQlhWfQShUwKxidGe9ldejeG9ZiVYMKt8KdVv552VbcbFeBbwiWOyGVeX1K88p38fPKNa3gJDlAo9i2eVRfk3318VyyttVzBf/JMT8dvLqygCx2B/y2b/6a3j7ydtWnI/yoK2Z+6Z7nbrnvPu9xdx1qyS/1b4rz133KBSdq+Pc8Og7gQ2r4/yNlbLvvlke3pNZ/jfLpuuGfOW/P5tg27/1UZRYfLMyi2fj6F7fJ7v+3y5MPW9KvqH+Go4sHJOsoWbgoiYKGAVu7IvlyrEsqLQo8v7MZJi9DldpI+j4CFo+Ggydh4q6qSFeYKsmFRzAeP+AWINU38DureO49pKL8cWH78Q/f+3tuOSFr8b29SPYvGkNVCvFHZ//As4sLuKi8R247voLsak+gq0bRjHTmkcjXEKiKlhKGzg0ewrHT86hrQXwYxdqzcYTB47hE7fdjbsefgD/8i/34cD0KcyebEoeF7PbuA29fRVsHtkIj9DESGA5Ov78Ax9AYiQ4/vgUPnznV/D1r9+Hd/3672B5piXL/8rJw2i5bbzry4/BsKh8y/Cfbnk94k6ImWwBrbk2euoGBkeGpYTBJO9JgA6bei0VA1s3YPuujfDNBHpFR0uNsGfqMaRuio4fYOPGtViebeHo6VPoHang1udciywKsWF0CB/9+89gUNdx0Y5dWGPVoYXAC3Zvhu9mqPUmeP1NP4w11SoWvRB9vX0YGxzF5RMX4+qdW7Fh/Ti2TWzCrg3bsXPDOgRWHi6vpmwRBTzaETPBS6K46Lcq0KoK9Go/7rj7Xly48yK897YPY2p2CneeOYT/9p53oMcy8Zl77xZF28nJk/BVD3W9hte/4ibc9pEvYbi/guuuuxoX1IegmsAXb/syDh+cRbrUQbTQQTbjQ7cNJN4SwiRFleH+hDC8qfeAVpDiyMGTeOTYPjj9LIkw8fJbXwRlENBt2iQVfOQfvgZjqCJKJs80EXgJjs1MwlFN9Fo13HTJS/CZj/wfWIaJmUfukOPUqPZL+ywpAXMCxabJTDf5msArgpomSA1bsstodWQ+Hm+W2cxM5Zqq0sYbnoV7bPVky2SQq37YTCu+Vwbd6zCdmjg/qSBjlhwLMqSZNGRzKVV7zB5j9h6VOsQfbGvNiyciQjeuC1WGSoaQTbFn8/WowFMpETwLGjWV3aEM7KcFWAVsHRbbStMUkReK4kpjGBaLBViOQ8SYEEDl65qyBMSoiHJKZFW6IQUchIGEetQVyQ0/VaDMLRT1HWAahFVWXuaRUSHJ5s08e5AlACJg1Ag1VVE5qWchp0Zbr6nnhSNqlK9boRLj6oqcjYshnKMKjKo7QXjwCWkIh2hHDlyalUXdxsZUKhhDqf6ljTdCEnsC4Ql4qILUVWa0cRv8PBeNCrKzqi7iN/pD+boooiUzJe8TQE+MYlCyqGiSK8jzhftCNWvQ1FzlR/WaauX7jbAz9kJRLBIIia1blE9UPEViaybHJPRM/AC65CTSNk6gyH1DwEQ1JteJ7QwKFIeIMULUIegngMvLUaLQEyDE8gpCJS1lXmUMpULlm018jb7ElVg9q38LrNSTjLlGs4KaOS8tzLQEU80Kw4HiU68pjRCIaDFHBSEVWQqBuIHphXkBkcxuY26bwrIPKtoUBYatoGowDoCQDAjUfB9IC2ucwJZWYZ2uTbGbRxnLXGghNhATuLPJmmcB7fYxm9HZZBwiCQgGY2iVqkDqjNZuwm0pJ0kE/ndC/k5S4amEzhpUmw3PXOcYmsnXaxhkX7LioFb1xE4rDdKixtNgpAF0PrTRaNMm+K7JsqkMR+TyiBL0q2caKtIiy4cBqewvNegA1ZrY33meUsZJ4JuotNyqAmFZ+CLXDD2STFWrWoXnhpKfyLZjKqqpPpRM3DCHY6HHrFND8u9oqbUqNZmTVLNl33ihJrZ7OXZQhZr6sHiQmSZMZp7yNOH1hk8p5JoTydGsxxFsqg8TU5TlzDdMoxbC5TZCL0RqOaJS5rXIhCvHsmLxoYLOZzRyfJkaz2VH4GLk+oilEShFrGVyPLuBIVA29qnkS0SRyPxB36dClcc1HwZEMPjvCWm5Xh2r45kdZRXeSoCveE3xZ1kVVlbcFaPc1EoAV7a+Fiq5/+fzz9pnC9UY/yRALBRjhDb8kxCpGyByHcrKsgK+8T1le2/Z9lluiy3Wi+MO4/XfyPMjUCzsr93QkT8rGn9XyifkuhdZfvy6+JPLIkQst98Wltry+hVzxrksPrOYl3KTbjHKasDitcV2fjuArzgGCjhIqMfBdePX5fkqikoKJV6hQCxKRFZSBJ7ruOoeXIei2GUlm3f36M7oK7Z7tW33m49VwPfMjW9W/HA+l/+tIEq3gu7fIuD7ZsUm34li7+mwE38nKr3zMX4a/3xelHzd63uu9T9fisHzBvkuX7Meg/UemJoi//lpgkYUiOqihwoNPUGf0pOrgioawoUIW0cGodjMCeMNkCpNm/1bBrHp4hEErQwjw/14y8+8Hlklw0+/9laMVNfhC4/dK220WSPF37z9d0RF89jkKcwttXHXgwfFxrhv8gnMnFrAmh07sdhs4bmXXoJdm8YRN320Oi52jq2j1A0TxgR0XYMZqfCaHizmA4UZtm+bEDUQywM0R0FfxRJFRKfl454nDkom0KhVQ5/Ti195zQ/jos0jeHTmGCppHR//0m348p4H8OYf+gkplmg0l9Eggarxhpq2oxT/6+Pvl5bIJoFMlGEx8zCzcBoBi0syoLffht3LPDUVRx56DOFSBj1QoQdUQwAbhoelCbZq6th7+CBGh8ewZmgDBvrG8LkH78HuLZtwePY43vlnf4BGlOKeBx7ELS+9BrdeexW+tvcI0izFQG0CUyf2YcfEdkwuz6PRbGGp3cCexx7CV762D19+8B48PnkUn/3yV3FkeRpajyZlB3mOF+EHfacKrtqxU6yHtMtmboqZxVPQBiw88cRxLDUCzLSX8Zn3fF7UUbOui1e+6ArUrT70jtVx2cYdmA+X8MF//jJe8bqb8ds//HN4//s/jiNn5rDn6EFpT429QCBQk0HvdgY71tHyA+xev05KUXyKc9wYTXTQaTdwyY4tGNfH8bM3vwavffENqOu65BIO1PpghClCN0Lj8AL6+y2Eiz6arQbaoYtASWBbg/jCns/h1b/wH0VZOKD0omfAEuWKSMwINAUU0c7HlkiCJVOgScxGXIUCtjxoX8geSzuYGUigxxtm5vgpvOnPoGuEVMwr4y0ubaZ5LhrLWrKYNkCG/LP0gyrBWCyYzMWiOk5yvKgPUxSYbBjVKechuGNTKv2bhmTWpczPYl8IG2RBIMk217aURFC5JtZfWiylE0NB7AaieCURERsvV4rrw4ZpTTtbGkEuQ2Mw7Zc+PD+BS0CnZDAJWVgoQGWeTVUV4QXnSBWbL+Ef1WhsteX82boO3dKlzZYZeFw2FC4jh19RkCDxfVEZJpJFpiNmzplF+2ieXZgkGlLDgq4xny1v4uX/VMeiyToHbRQZ0lpOGydVQ6aBhGUXBClswhVlMTMNFcQsgZB2Xyrh8nVKg7PWZOJbNhyfzfrTCN6o+mOKHRWGkm1oSD4gmKmosjBFF+jIUg6zQpUtrb8eAmaMMaeRBRsBYDmOFI3QPpvRkqjlak1aNFPQfhxKL4lIrDQdBpdFCGumkg+YnW10JRilmzRXk0VAQHVqBbqhI1IJbG1kfgLNYu6bm9vFWRzBOYoTtBrMl6OvWcXC9HFs3uDA6RwXK3uW2OjrGUKtrwfQEwGpURpCo1KM167AFnsmQZ+o5mhdJ9yMVAwP0eIbw3IsGHUGshkw2O5LWJjR+JkiJriNfSkhof3ZDdusiZG8PmI9+bwgE2UjD0bqFS3VkdewXIn7VzFrkgFYMQnsFGmM1kMPhkqPriZKOTUIEWqWwGETPjQ+KHAzhL4mD51ofJW5pwpSt5FdcBWGNvWj02DrMVVvKhLdhJoGGN6xCWFShxonGBlyUBvcKao1sfbXekT5x+OrNtyDMFJh2xlUPnBxCGDryHxXGpqlxIW23cQVWEkLf5qxZZdHs1BvuX6Ehi0tznwKwm1kcU+mMydUgVmjTjCUhuCYKlo9hmV6iNstGE5u9aUyXlUI2vhbmyUehKCOXFNoqddqtticqVSlNZ2Qjg8vNEWB1yHwy6C4y7m1nJBcM0QFyeueRfVvRLt1jCDlgwnuL662gpCWd43XJVr4mQmZ5UBZywt2VLWCjNdDKq4rvJYy05OnER9DqGL15cOEOPKgpnxYwuvWar3u6njmRwFjChDTnbtXfg3Huonn/z/ZbSvBQL6GQItKsDIYK0O6suKuG7zxvQXMKkBVueG2+DthXpEHWEAe3pSVQU+53bd4H9VqxToUYJKwsWiELRSD5W0s1rf8s5WyDLnuhQ2Zyyqag8uvL2AdVX2FLbVbEVhuveXNVFnxViyjGJw7vqYAk93qw+7RnanXDeK4bK5buR24gHAEeuXPKRR15c/tPi7Kdt3yKGf0FTbm8roV7y0XrhTrXPy8UAiWbdOrY3U8W8fTmUH3ZIoongqQeaplHM/kHJdzAr8ZDDxX6+530/p69VOc53fhld9VqHi+Pue8Qb6vHDko6oM8V0pB1mRbpYlWJ8xVBm6K+eay5BllSwnUHgVfffBYLgBSNFSYyxOYcGar6MvqmG7NYrHRwi/85V9BjRW8/9OfwnDvIMYqoxjv78OVl2xFf7UXnUUNL9y9GxvHBtBb60XFqAjoi7wUbvsQTp9p4NjRKTx48BSsagW9qoV9h05hTV8vji+dhEMbE2/eh00M9/SL4uPA1ClsGh0TUGPVdIyNjsCnmklRMWzVsWZ4HKdjD5PNOfzz3i/CGFyHxNNgVCI8cuI0PvPgVzFQM7FxYFBUB1x/NuYuLbio9tn4xN99Cpdu3Iz+tIr+0TrqdQs7tkxgMWyjrQZSJiBcKFVQHatgPmkC8z7SVoh4PkZFiWErGkZrNhIlREd1seDOw1WXsW3LOqzvH8No3yhe/IKbcPNzLsWNF1+G93zu83j7x27Drk1bEcY+vDjAtbsvxv7Tk2Lp3LxmC+bUJSijFuobeROuoQIDRkVHEmbosxxUmB1XZdgYlUspKkMmwh62yxJaMY9LQdiI8dn3fQ4XX7QFtT4Laypr8fJXvpQVAaK8e+XOy/G6F1+M9qKH1AkwYDgYG+3Hy190Pf7DO/4IQRqgmXhYPzaKTeNr8Sf/+/9idHAM1aoFS1EEyLUVF2vWXoC55QVcOXEB1IqCwEoRJz6+8sB9eGz5CD7+xc/iq/ftwZfvvg8bjQoGRhy8+vobYahV9F8wiOWOj6W0LQq0/tDGxuEhNJszuHDdLrROh8gCFa2OjzN77haVnWbXc8uloeaKON6YijmQzaosb5BqC1GqKpkmjdJi0dVzeynPCyXhzbkwEGb4I8gcZDEbOnnjbkMNIskaixKqbBhfRzthTGcrDDUVayE1UmqcwWBQPQsNmHmVGDAIwtKqWEWZX8XPFhUg2y4NHicEjBkUx4FGSSdbPiMqjtiIyxy8ECmJC9UxKW3ZhJXMw6NS00FAwkTFHMPmskzC/TWbN96xtFFTXcbXmlT4sYaV+X5U9TDDTCccTqET5FEDSfsdowi5nmEgasA0CeXnzBhkSyghp5RG0GaqZqKU4rnEawzFalTtJZEFy4igJ1EOKflezruqUpQIiqPIxAg01CwS6KBqVEQSjDpSAKQyZ1DXRPWZEs7J4PYRYOXRAmzUNS0WUeT2Y+bFGbaOmDCQSkM1RZQy+8yWbETT1BB4hFIxNMJWtmJoKYImrekxLIJNw0KUsLSCQDVCHAQCEzWTcFJocQ5imAVJ7aRJ0MJMNw2Vaq76o4KPpQoZs1CppDWoYDSQpq7kODILj++nmo0qSj12EdNuzObhiDpLBzoz8Ggzj2IEYYYeR4OWBnB6q4gyC4eOu5hspfA4j34TUbCAyekmotiEblZg2RVkgZlnBBopMu5zywZT3mjnViXL08iz3GJmGdKqGorNmA8KErqTqVjkYSUlKhpCT5evrfoQMoUFMBqMhLEKkRznbFnNkgAhlcVmRx4OaQaXyVaHjsBPL9LzQgpanKsmUsUQEGvWHGmLFtUfcycJselzzjKx/mtWFWwxSTILg2vGpBU3OHQX5o6dgWI7UKmADJhLlwI1A6cPTkFFR1TOSwsx2gv7RMGrKoFcF9h+THDVWWawHrPydATuMkI/QdZpIzEddqXASBUMsIlXM+V6EWuB2Jgznk88DLhdUrTTEmhus7wm9WXfqVG+PX4Q5SU9bBHXK2x6oZZWrhFp4EBhyQqPX8UQsCx5kh7P11QKZXidU8IcKlps8oYlyuKU9nEqAh0afBknOCjQj/EboUKox7M/hkKyq7I4xc5zL7WzDdEdT857Cj2FVHPuKpaoOfnQi+c+LdwC49MYoVYVK27MhyeRBo+K0IDN3vy1ZAqczdhyzjbm1bE6nuHRrawrq/MK+FW28tLeuxLIKdRkRVFFsdwX3HSF/EkwVM7GK95zLjtvucSjDImKdS7ATgHzymUMXMfu5XTDscfmr/rGNhLalSFRGcaVAVixvsXP+N6VrLrF+nAQQvK/osmXo5wPWCgUVxrFsrluvKFcKd+vWA7X633Ra7/xmRwFsL3r9z7z/xRwdDf48jXFHBUKzO4bta9+/oF/dXwU6rnuVuLi5ncl2FZWJhav5yjnIRbbVJ7j4rUrZQEWCsTyMbOq5lsdz4axEpx5sqq5bwauuostujPwVsroK75+KkDmfKhCzzcs+1YlIwW4+06LOFZSsX0zQHg+xlvPzs2/V/Xtecvku/nHb0a/ZmPB7cAatxBOhki9BFa/Ba1iS36V13QxUalh0mvD0DO8dPe1+JeH78T6Nb1YbrCRMoEfJjBqBmzPQCt2UbEtNO0QF6CGQNVw6bYdMJwKEnUJD+2ZxMuuvhS8h2xnEU6e8nDbg19DxbLw0b/7FF7/868WgOctN+GqCmpGBSO9vVhaXhDVwPaJC/DQqf1IqRocqiHObPRoOqzeHoyOVDE734ZeT6FFwN49R/CCl16M449N41RzAX2KCcVMsLDkIW5G0OtU7Ohirdu2ZQMeOXoUNdOCJ2qaTCAJVS2Mv9q2fhiHJxewdqAHa0YmcGz6mECN6SMN2KMGsoqKimnBdQOxi7YONNC/YxC6n6A158Iar+Jnb3wpvnDXQ5ibWQB6MqgbHdSWYyyYMZ7bvxUnZk/jL//4fXj03o/jj9/9fmxfswEnp0+hlcQY7+1DzdEQNWu45vrdYjX95GfvweOnT2Fgax+MTgifwIb3sZVezDfmRUlCLJD6MRKd8IASJxYUMHdK4qTEuvjCy16KO/Z+AdsG1uNkNon1lV4EmYtZL8FAvY5xaxNqVoqZuTPosEE5izDqVGCNV/DoA8dw7SUXomdNDbc+/4Xo692Ev/3798LS+/DwvvsxGzRQtS0ptei0MzTbDVGQDfb2IUpb0CIHLTabMgvKj/Hyy66S4pPY7EOgN/DwAwdQqZpQenRsVvtFpbN36jAGq30CD9ZvWIfHjuzHsGFhqR1AMRVcsGkrlofWojXbQtT2gNCV0gFpbSXslHIKAypvXDktxBS05PGONab1jvyA8IlgiVlvhD4EQGzepO3XgKoRYCTQ2ZhLAEMVDoV7OhVqKXwp5mC2Vq64k0xAVYcf0NLKDEmCQ1WaQQOq/oK8idW2aZWNkRmmtHdSqUZIxpZNFktQJURvKSGQwXB7QkdKbwxDhENiA0QiZSC0Dso2EuATLGgstFCQBaHku0kRAaEUwRxtlmx9ZbNoGopaMW+f1QUeEoBRwUbdjliSDVpg80wyQ4sR+bmdPzm7nZGaCIQg2OTVimoisQZzI0Uhybw4qoZIOLg9qbSvssQlFoUUoSA3iOo/E3HIuTcEBprSPppCYdsoc8WSEBWLtmIrB546QWsO/wi2JQ8xopqM5RbcXPpZLYRUAtcIvHzJHeP2qrR5EkTR0k1raxijWtFF0SVqrMCTbZczh/ZpHjIhG8IrMhfcz1TyabzWqFQ3slWZEIVWa6onqcakQpPWbdrpAd0k0NKkRCOkbZTLV2JRALN5ltddFqt02rRTA/2OAj/iCUxgogFV2lWZcZdi5sQc+kf7oSecd2YbqlhqL6C3OoCKpSKzcps0mS4zKqkYhUKlW17MEy0GUFl4IvuJlnVT7MNJO5Z1EIc0qVQc52pM2WGEh8xNjOG384ZlhaBctyRPz7BtRIEnJShB4KJer8APc1t0GLMcJgfRmRdIGUsYpTAdR4ArjyFafFneQLWtWJcJ7gm6OZ+hj1R3ZB9XWATDfMtOgITtr44j8JVKPlrxCVtpiWazr07rcMxymRSaY8p5rxH6s9gjDKDwAQFhObMNlQhWEogNmKrPmOCWFm7C3ERBqAJ8jiJxmFEErWrBb0eIuK6qBb1fARYDhJzLNJXrSZKEMCoW4iCWTE+qhFlAkpKcuhlSS4Udh/BYAKRlqLCpO+Z8JMhoT6bROtVEiRtrNrQsRMVgmRafNNByrcNUIniow0QLISMFmPFJFTCPT2pcTRU+bc5hLMrIkI3V3D4ek3QuJ8wFpTI2E9sxj3+W3ygGcxt96A7bZfhwIUXoU+2oIvR5znPOCSJ5paRyN5RzgupYo2LjnW9/+/n458vqWB1Pekye+vqKeXqFqq+cUbdSLtxKY6VcvW81yssuZ8x1Z9oVajZaSQmczvU5hFiF4qwM1cqNtd15dWVg1a3SK3+vu8SDAI9QqTujkKrHYn759dRfXymWYCoGuws2im0o1pEKSALS8nysNJfFjWe3cnGl/LtvNspZfkU2YTEI2jiX5VGsJ+eZYHeljMNinGtOz7WO5WUVy18pp7H82u6MPn7/eynranX82x9PJQuxOzNvpb+Xx7PNfvtszPyjhbVQuD3b1vt7LavvOz3+v10wet4g30t/8CbJPevrr4BR9jPzLSRU80TABRs2SCGHpbDpMUVz2kPP5hpGnAqmWi3JDeqzHcn92Tw6jhOnZ7DsdzBWHYabNTGsD+O0O4OXbbsIP/Cql+CdH/409h45hJ5KDwwtQ9tL4ZttvOWnfgq/+RfvQWgG+NlbXoT9D5/Gkfl5zLtNxJ0Ym3dP4PTxaTgWb5wNLEQt1CoG5o92YA8QhADbtk5gebGBDWM1PPDEJLsk5OYjLyDgfTWVVym2j4/gWGsJQ9V+zC8uos/qQXXIwsVbdmNuah4Pn3oUQ3ofnrvrUnz6kTsQz7PQQMWFm9bCrNbRTD2M9Y1i/swsakM1DPf14+sPPYxBlUqmDGsn+tCJHSw25zDZbGCwXsNIzyiCzjL+8m1/h7f96f/A5x64C+NODdVaHx4/eBjVERsV08YH3vUx/MXv/wZe80Ovx/982x9jbmkJQ3096LTa+Lkffx3+8TNfwfMv3wFDs3Hy9EnsO34EI0ovQltFTTEwOjKCfU8cwOlGCx3fRe9wHf/lR34cn/7U53D/gSMIeQNrUqJB+zBtu8DOjRtxqDWJXeMbkM0yPynB6fYsEiuGDQONNICdAC+7/qVQ3BSKtYylmSbu3XcUS5GLsVoPphaX8KYfejn2PPwoOp0I69dPYO+hKUz09mNo0MKXHt4HNcswMlrDmaUmLlm/E0uLyzi+fBoxywTY7OCn2LhxAkenJ7G7dzO2XLUVp46chLYc4f6ZIwIlK6M9SOc8DAz3iQ11anIOzpCNK3dejGMnjmBxMRDl3GJjERPrhrD5yutwYLKFoB0iaSxBOWtL5XGgUHJJq6bYZAnwKNVj0zS5Bq26tPwRwDAHLFdn8aaaojHeZNuWAS9QoOux5K3FcQZFyguoUiJsUmFSJckyD55oGRVsnihp2PormXOJBpXNqbwxDmmNjZGqOrKIZxRHKuo3qmMIhnTJwaOyiMcyjb8s4KCdlgli3A6qD6jKU+GHOgydeXAqYj8QlRa3NVXydlO227LVVeVfWKIgAIW2VVWgg5RWBFTM5Q21bDUl0KL9XTM1pAEzB/mZeXGEhPSLcseXVlzLtpEEzC6kjZVQjRbGACkrDGIXps5SjFx9SKWttHsQOhF6cf9YzPjiMcpmTwtB6As4zRtUWXjBbcmVgQRmtA5yvzGXjdmJtCzKezjvonumci/f13mbM22+VFNSTcYNIOzMix1oX0+NWPYVVYGifuT1Q5R5bJ1lFp+fZyby4gLmJbqyDjL3QW7xtlRadWlt5NxQlafBYmmJRrtvgg5bawkpQyCjoi5rQVWrSKhUFGuxKSo7lY2kUSZ5bDoFVbohEIVZoMx97DNTLHfy8pdKzcbS9CJ024Kqe3CxBfXoJNpeIsUulf5eefgRpmw85Wuo5qXlk23SnkA9y3LE5ix6cZJW2UQdCUsYQg8mW5qZvcrziS0vGdtwTURuXjCiUOlpVgTO8neEQsAdBzmoNmlNNgXCcV5Ug3DOF5jL5etUxQUJjKqNhHA48LAwPYvBkSHJ0yM0020HSRyIBd9PNVS1BCmBdaZ9o+CE+8IyM4QtX/ZZxozDUIOhhEhVJ88XpGI2zKF/Ig20BO2M8CS85UltSUkKoSOPJVNhI3UKm23lcYSIOZRErmxL9ngdC+haF1UnbalhW4FSU5G6AUKx12dwtIq0VrOplueQ6FQVB4YaioqY6I4FHH5AwMbrBFerA4NZfdnZzEqDqtRIsikRBHLemb0VBH4oRSeawSZ3FyqPfe6jiArFDGHC+UnkfWpKVXOI2I/F9k2VMUGinkXSkszrHz+bz4WklTcJpfGe2j5eB7UsQixZmrzOyEEp1y9mZFIZGPgRLMJ5lWUhBMV8MHC2ATrT8N6/fcf5+OfL6lgdT3pQ9VYAlELVVm5dLavUCLOoFisDoOJ9RfNqN+DrtpiWoRsHf06FWJH91q244/KYAVcGPcVYqeCDoG2lrMBilLepgGEFECw+s5whWCjwvpnapHubyutfzMO5Xl8GYN/sdd3rttLfi8GbwyIvkHNLqFjAspXmg1Dvrxr/+xtzwM+lmq9oUxbb9Qrr1r2c4rO756ob8nVve3kZK81l9/vLuZBl+Nt9PPC4/PeqgFkd/35GAaJWKtMo/311PH1z/0yOt5aA4HcKkp8pmPhdh3y3vuFWRFGEC9YMYR4++jILhyfnYRoaep0eKL1ANBPDY3i9riGY8aDUDCR6gHA6V3pUBgyYax0E8z5sRUfN7oGbtuH5eStoVddx40XPwxf334dBx8HzLtmBj9x2FxyzDli+tK6+9uYX4M/e83dY7PgYXjOI+YU5mJkuVs3P7LsH7qKL0A3QN1RDj1rB0dMzMPoMVCsmQip61BRD/Wtx9YZN+NBdXxGrKrPoaKLrsJ2UcCXMUOlxcPGG3Th6bB8WBA6kGKvUoXbyVlDT1CVM/X/85s/gkYPTuP3OO9FX64dWBY4dmsRzrrgYD971IGaDNl562eU4NjsHs6eCI6eOYq1Tgy+WYx8NN4JtOxiyelHp0+B5HuaWm2gEPraMjmNsZAgzJ0+hYVfQaS7D1DPs3HQx7tt3DyqmSKuwHAUYVSr4g1/7ebzt/R/GkfkzMNnO2AnQN9CDscFBPLxwCr9wzffhQ/ffgfe8/YO46dW3SAkIi1N+4GXX4q4H9uFnvv8N+ON3vAMeBVpUXVDVlcu00Ddqy42ePxPgsp27ML18GqMD4zi0cBw3POcSfPzjX8MlF07gz//yA3jTL/0w/s/b/hHv/rPfwGK7gz0HjqDXrsPSbBz0psQCe/2mK7G0NIebnr8TF2zfivl5C5/8wifwwLFDkkO1Y8MuqEETl114KcbW1TAw0gtvsY3x3gm01WVkovzpIApsnDxyGgfmjmNmaQFPHJ6S8H1rsAd+5GKEMIQlA4N1eB0XvXUHh6ZnEVshTNfBtm3jCJYUBBs3oDHvIl5ehB4rCAJP7HdU41CBw1IIqouYARZHCjQqnfLOBVGhSHYWlXMEfGyYprKJQExlTQfD/PW85ZRqstQAEg+GmQMQ4cxxDJ1giHKvLEFMtYtBOyKhk5zJohCjyk5hMQAz6HRNwCH3E48Lts1KpD7VQ1wMs8WSGBWN1QyEZWzfzPP1COosKpFojVWo5ErkBp/rLn2ntLmzcZgqpCikbBBpwDw1Zt+xNTeFQbglrbBUmLFZmCUJZxU8gixZNMDgLSe3VrLNlOUTUjhA+y2ViyoMQiG29WZ5xp6oKBWCLk2y6pg/x1IBAgORkaWBPGDg/FLlpzDRLc5gqwZiycUM8m3ivqP1lkUjVCTFkViGwyCEaVUQR2y7zc6WvXjSlhrZhCQEsbltW8iDQoBHu7OBMPJFGcbMO2lhpVVYaCBLdzyodkWUnAT5nCtpkKVV8ixbJdiIqT7j/qI90TQFuGQZMwmZGRqLxVp3bFA6KceFlHhQl8csP8IyKjzZ2ou8ICUMJJPPcwOBgTFVe2y5JTRMQ1iaKaUWzFfs3boDp/bei3rfEEyCZR/wnDE0pvZhaM0oZk6dwcjgCIweDZHPYgoqAB0B3UhY1JIipX02zuBqgJ6aqBgJQo3bkWJqahIbNq0HC39brQhGnY3MrEapIUQgpRVgYy3PI7MuwNDsr0NveQKuw4z7qS3ZkwLL2HbLxm82SscBVLsux1GQKjAVKvRUaIEPzSFk16TpnWrZ0PWQWA5MtrRaBvQkV8gSXqVGDWa1H62FeThWhjjlz/LjjyUwVK6GzLZjjhwVulELMGtQWJ5Cdai0++YN15lqS2s0jEy2meezXmGTL6Ayf1DXUbNMhNUq/IU2TLuDKHJEtRZFGgwjFQVeRvsuZZFhJqCPOZUs/pFObNrZz9rueW3Q6HbnvuUuUQ3otgIliPPfS+ThFtW5GliGy8xGPpFQaElPfGR8EMBzjFCVzNlXoVmE2KFk9lGVpzFLz/cREXZWOfcWkrQj1yeFQC77/x9i0LLNjD/X5TmbynqR6ScS0RHCo0o5ivNma0OF41jouAp0LZDm9yBmmzdjItlqzTZlRwpVCMp54Xvvu1fbdVfHMzuoNCs3lp4LnhRgpYBeVI4VXxdAqRsOrgT8iq+7Cy2oXCsKOIqm1u73lderW0nY/bNzjW/1mmLdCzi20lhJvfatYOa5XldWqq20Xd3LXElNWIapBeDr3hYqVlYq4ejeb93rWSgOvxWw7QaaRRaj/Ozsfu3+jPIo9n/578V7i88q1rf8OSsdU+X5+bemhlkdq+NcgO/bbe19trcrfzsKu6cLun0nYPSpfFb3Nj4VUPe9OL7r7bobR/uhGAaCNEO4lGDyzCJSNYY7F2DtoI2Jiom0N0ZA5UIaome8X7KomFHEm7TB9f2o9znoadTFdhZVMswFi1Co9mkkqNumwKp9U0/ATAycWW7gzieeQFV3oNcDdFoBzpyewe33PgBHtXHlji24esdFsDI2SSZ43+c+D8PLJGeNN3wN18PI2nHUHRt1p4KgmcFtsJFRhTvfwe33PyQ3ybpYBDMESSwqCI2WW0PFCy6/COs3jiM2DMnHo8LIoJ1Oajc1TLc9dIIEv/UX/4Tb7v4qNm+cwH/7/T/DzHQDU34DXz10L06nHVy2YRCHpk7h9NI8EPiS9YVaPxIvxpklD47lQIl87D10ADOTDWzfsQXLrRbWVkdhOxbuffhxAUTh/CyGx/vFsnjk2AEMjA5iyO7HxOatApioBPz6vY9jOVJgRJYUfmi9jmzXxNhGaNM+vrb3EXzfJTvxLx/9K4SZBz8McMtALx5/ZBKD1X6M9lAtkqu/xJ4plt0Uus6ilQiDtTo2btgCmAmaaYADcydR0W18+uv342d//FZMBy38xq/9LF70ghfgB3/iFpg9o7h0+0Zs27AeG7ZvQ2R34JiGFPRJVA0AAQAASURBVBv81u/9AU40p7Fu+2a8+x9uwxUvvgnbNq8XS2rVsTG9dBy+ouOMt4QX3ngtLrnyB/G8l/0knpg6gN/7v+/Cf//Ld+BzX74XH/r0l7Dod1AdrOPwqSl0PA83v+IG/NxLbxJl3onOIk43F/HY8eM4euYMHjp6Qm7O61YdypCKuflZzLWWsKm1CLNqQK/UpbWWlklqUaTVU/L3mLlHOMZTiiokArtM7Jssm4kzNupShcLEKyqNqADKgVSQMFA+QMisL2bOGXFeTqGx9ZZKPapcbOg61TRxbl1jU2kiRjkk0rLKoH42u5KWO7mlLU1h0jachLK/CdfUjJCIWjWqo0KxCNOqFyWJcJpc+UeLKQScUaaZERYbCoJElZt2ZgUqfD3PB6qCNBWZztIY5stx22jfJaQibMxVdfw8WhIJPgnWKJ+jqjfPmmOelyIQi1mEUhDLLRPXK8EeQSpXSxWbsC5KuVT2P6kDW12VsCmWZwEenBfVksy8xGcaZAbbZlkJqSEZJvP1csioxL4AA9qhhQ+yWCDhulEdxZewpZS1EBoyKXzgayNomYbYD6EwK4BzblisIpFsPC6Xcy9KOlpRqZiktJOZeaErJQ0slRFILmDOhGPnZQ88v2xLRaLQtspKCQoTFcSJItBR9qlD+JIINDRVQkZfVFkGyy5oS9ZVKfZJWRgjPTGZKEtN05QcO4N5h6Q1SQan4iBKE7Q6CXTFQPvEUVhODa3FGfiRgpnWImwsYGBwFGHHw+DAIDRbgRZZsHkMJw4yXYHO/WgT7lShcDurDmwC5kqElEUuviu/H9ZNrEUYmPAJwTQWhuSt1LTO2loII9Oh1RzEVhU67apsAF5uIUIVURLAoko1s5GwnZk5lQbVr6FkWsa6IzbxWIlhxSFC7qegkxfVeBlittrGVMOpUHuqooLUbR2qT7BOqOUAVh1+msLrLMi1npCbUFlKlBmtaBCe66j11mCaVIVSlVmV9mM2sVPlGqRcPxNxbAkgVOqsTA/zByJ23jovLu8Kn5Zw7ttIWHhCpWXMEgsdPueFb2NOIItkQhVKO5Zt5XGjq7Th89hXoFVthGzc1lRRHRLeE9IRCPKhVerz6FVgmTr0KEDcTukUl+Zvp2rJ9c7Ucst0KNl3vPZoSD3mZQJ67OfrYOT5kmnA65kKy8gz93Tdh0owShBJEJ/QLpzKg47E9VjQC8PgNZFrS5svr2Oe5DjSusuGcF0JYSjM3WxLMy81xb4bIG23oUZNJCyNcaxcVE8YbtOCvXIO1+pYHd/tUWSdcRTAh/bS8s+L7xP4EBYV7bIF4Cu36hbLYs5bMcqKwPLX3yiiOAtzCGcKRVk5h+9cDa3dmXnfapyrNKS7CII3YN8ASGeBU1FuQShXZO6tBAsL+FW8vvz9brspl0WoWeQY8uuiWbe7pKQ8D937q1huGfCVv3+uUbT/ducEFutYVuWV4Sjn5FzATvL1/vRPvvHfuea7DAK7P7v83uJ7RRFLcVwU+6q71KOc3ffdDMdfHavjuz3OlSv3zQDUdxMgPZm8uicL+Fb6zO7z/9tpHf52B1/7ZK8v3Q+Qyr8nns2A763f5fKR8wb5TswuU5qAhaUW/LaHilpBrV7F2p2jePzULPYemJZ2Wk3XYMBEw2tKRhGzpLZsGsHyXAORkmExXpIb4nAxQV9/FVXNlhvfhSUXg/UBAXKbNvZhU3UUxrKFl33/BXAXAuwaXwdDVfG5e+7FTNjC3hPHcfTQE+jd0A/N0fCTt74My8uJZBhNjPWhz6zhngceRidLsDTbghf6cJiFxwIQI8RssCSFAdBIPgi3aCXM0N/TJ9t7x959OH5iCsteGyEVL3Eq9tZ5y4M6QptRgI4RwIhUvO2/vgXzsx4+/aH3YKazgEvXb4MRm7h2w3YMrNuGIA6wdoDraaCWmlA6EV549fNEFRQ7IZSKjjVjPXjZC56D279yFzavW4Pl1jKWmjGuu+hCeKqL2Fbx9t/+Q6wdHEaLWVHLAZq0OdJ6pSg4FbUxeewAbnj+jRKIfsn2SzA3vyw5WH3jBho64BsJ9j4xj6OPnoA1oGO4r47Z2hCQefjff/oneODwEwgGM4xtHMgBFXPWme0XJfAWQoGpYbqA1DbQN1CXks7dW7Zi8+BGrBkexB+86T/hyMwcliYz/MxPvRlv+Ok343/90yfxe3/w13jB5u3YPLAJf/hbf4iaYeJHfvr7MFKp4df/+B3IKsDdd/wtLt6xG8/ZcDHcNEJFNXFk/iRu23cXfvG//Bkw/xB++Td+FH/18U+i2UzRmO/gi/c8gjhL8cC+vRhPx7Bt03qMjtVw6UWX4e6Dj0mAPsPgdYskJEXPUEVuvptLLjqshQ0TVJQqrnnOBfjaY3sx1GdD77UAk8jKQKoTwqSIBfKxRIDKLdoICchMxLSvCsQhzOJrtVx1REAVxdJCyewuTXWkfZgqIFpYmQFHkJawURUst+DNdG5DFfs4b9ylJZNQi+ovQhJm8xlyTolVlRFjAtIIryirYQMn3XCmAEkpaVUzaBbbNBXYuiHLJnZKz64niyl0JcrLVsMUjBuL/BC6tAfTNqgi5XoTMHYUWCw4SKkypJrIgEpgS4wlhatUQhGS5/ltBGqEQZLzR4SQqvD9VJp5eRevZakoYQXhBVTJ8S3M8NJgmJnMFxtd2WyMzBRro2nE0sZMyMECE1OPYdrMSyRYzAEggT0bPWmdzOJIFIEsTZBiCKq1UluUS3w9ywwyqrNSKnN5A0alJLPFSNP8HIR6ntiiE+5r2ggJM6lkJIxSTDn32EAqGW0wYFu6WJlJM1NCLCn2YHYccxJzSyunhPUHzCnkcqUZmapQHgKaBs/N6IyUEha2EEvrbMhCC9pk8+PGYCRBqiJlnpxRg5K5YvnWFarSnNyyrBNcJVBjVTLOAtJXqXkO0DuwhoZo9Pf380CCYSfoqffAcnTpnmUOX9hJYNu0MhM8R2I91TKWfuhQacPu64Hi5kUoulmFEoSyf0O/KepXo9aHFBXYaoZAyxBEdagWs+5yWBUrEXQHGOofh2lUYLJoJKRKM4StBkjEBm3AMHUpuXDsFBZbsmEhoRqQD3hUAwHz5whyuWjbhkNrsWxmgCA1BTJZlgE1jeUhSYUWbj+BocTQOdGGLXmTbKrO9CqxOuJ2W1qDRcnJohoeiw6bYgnRQ2h+iIQNvjARLTFhz4Ch10S1xsIMQ+dxQ6yriy09M1Qpu+B5l5oZqr2OqDm9hC3rVCTqSGmDNTSoKa8f4Vm7eIDAC2E4tF7TMmzLOcPWavn9JYpCgk1PVJ/s8hUrL69ZXoAoDJm2gJiQMIug1SowLVVy9ew695mP0OyTY1JXyEB7xVpcc/jZikBsUduFbXiNQMA2L4A8zxOugKwErypU9ea2eWaNMiaBCQOGYwl0J9iU+IGU+YaRWKpjVGFXLURGFQZCRiDKucqHHzqVulb9fP3zZXWsjvMyynl8VPiVm09XgjSELkXJQ6G8686xK0Oo8n/djbgFECvf7BTwqbzMMmgqr1uhNDuXQq9Y/25YVv559zZymdfun/xX4I6Qs2jFLeageO1KZRgFdCuDv+J9xWsINYvlFICzKCopK9WKootzFXBwED52bwdvKLne3dvLUViby0UX5c8jiKMSsFuJR3t191wVy1kpa6/8c/6MFmGuVwH6mD9YBnbd7z0XlC22maN7Xr7TXMLVsTr+rTTrPtMW0u92i3ABm8qFGispeb+deel+zTcDhU9WKfx0KYx/Gv98XpZzLni3UvnIt/O+ZxzyxWKfUeAmEaweG82kI42JQexjpFLHpuEJ9DgWMp83rQqMRIEOCyODE5haXsbQujqWT7mwFBNr1/fDsDWYiYPZxSVU1/VIYYXpp4hiHXv3n0TKnCjVw+e/+ASIAhZp59Iz2FUj3yolw8NTU9CnYwxvGsTffurzSDIPPQMVLC+HqFQtKA4VFdTfZNCofkGGxWYLc42G2BXB+5MeDUMjdVE3rL9gLRrtBsyKCtQz3P/EgxL0z/JMAoJqry038bPBMnq3OkQSqI/peN1v/GckWgd79h3FG1/9Bqi1BDVfxyPzJ3HfQ4/Ca/o4ubCIA0dP4NpLLkDD9fGJO7+Ml199LbK6hnbLlUbI99/xRbzk+qvgt4CX3bAVS5051CsWRnvGBBC9+md/DE8cPYHYDbF1pBdr1ozh8ROHsal/Ap1FD58+cBDe0cNwEWD/1KN44aWXompU8IUv34+RahWnl6cxNDKAx85MwcwUDNVYaOFL7tKXP/Ep3HTjC2AGJmYXGkjNFBlbMSsEQhIlBiVwZHmR20GqxaLwyzpN/NVfvRO3730Ad9z7AF7zsuuxabuN/ngRb/vt/4wPvve38Wd/+GsI7QAPPnYQ7/7zd2Lr5g1Au45HDhzDj974cly0azf+4iOfwCf/4SOSXUfV0A/99JsRhDF+8pobcGx+Eq/63d+F2w5hZhWsH+yFYikY6x3A9huuwMXbr8CZRhP7j51Eywvw/Mtvxj2P78dVV26UdXzRRdtRqTjY0j+ASs0UoGN4bLlNMdVZxL/ceyeGeqp4jporVZiJRrUh21hpt80iTSxy/L7MRUr7GssfeFNLJR6zKb28eZoiNtUUGzuVLSpvgqOW5AnqzJ0KVXgu8+p4a2zCVGilpeiqA8/XmJ6X20WZYMlMLS6QllLCL7ZYx4RVBIoEYWIOFoUdba88L7gqbDTl2ccSgoTlIDHVNHljbiI5dXTGxUgUFbGuw6e30GHBAcsEGISvS/4bPFcaeR0jkWWFni8gi5mFtPcxl44KQrHs2k4OHtkAGrLggqpCVQBxxEtHRjCVg1OiUZ8WWJMPAVK6eQX0ewQBfgCXjZ+chygWuCKZdwTMkZ7ngSlUJqUyl4rBnLWK5L8RiIl/OQ0FICr00krGWCpttJlRASs8CdaYD8d9yH2SUQlHOMtGY5vNp7SpMy8tL04h4CXxlioRFn7INYHaKW4Ym0b54zwXLSLQ4P5gsQa/T/hI4MtiBZPXIFpoWUCRyGezzEL2DQFwbvYWkMPrqubYskxmp9laCstgey0z3ViCkUmTL9uBaanlMUloSUs44WwGU1qTCUC1Hg0LywvQTc6ZDc/3YancL9xOqh4TceVGcSLzFkp+nQ+tj9Zfi7Q2b9hmXqOxWdY3UxMkXgupbkoRTcr/CMCpALMM2IYh1z1DDRBFrijqLISINAcxy3MCRdSqPKcW/TlY/SyvoVo1V7Fq9R44hEzMOYyZB0jgprHMFmnCZltC0gSWTbGnKkUVFLdZqSYqucAHQs2Cwbw/KcfJvlFiEpxtN2duJdW+tGKruoXEqQrMTEVxltu82f5KCJxYNSRtVxq0vXZLbK+0GlN5Z5sxqszj85uImanH330RVXq5rZvHdpQRxDEKIoYVpAgYCZDygRgLUupI2EbMhmyxh+uSe6t4HZgDI3kOYYfnHIs+CKY1+F5u4a7zfKIinSdRYuW/7xxD9qFCGGnrSDS2fFP9R8WlB7fJfE96dVNERg/UtC1Wdh7OYbMjYDFhE7SmippOp/Iu43WTpSYGfDZLRznYZ8xkSpiuWXD4oIMWcx6bPHM0ICDsNSM5x1KvIW3aLN2hjZklPFxPQ4nkXON1g1Z6FvRGkZcX76yO1fEsGVTuFcq7QsVXQCWOAsCUwVrRYlp8nyq0YvDvRelEWb1WqLW6G2m7VX/dirduSNc9uoFkGdoRRJYBUDckLI/iPbxZoZX2zp3rBEaVYV7x/kJN1q1S7Fa4lb9XtkV3g6/udSyr1orXlZfV3UTL0Z2fV0C07m0tmneL9SjeU85kLCvqyttEQFf+e3GjVyyHf+9ex2Jui88hJOXPCPcKa3d5jsqjPDfdc8llcptXgoAFRD1fN76rY3V8L8O3lZp+OZ7uhtjvxng6bfndy+bvhKdjPBlA9tY/ff433sc/n6oK8umEl0/mOnzeMvne8Ouvw2LbRdqO4egWMiOFbei46tKr8YXbv4jRnirO+C6czJAGUIK+zM8Q2GwVpZIhQ+eIj/7NVbzk8m2449Gj8PwQt77s5fjMF+/GGlPB8eV5JodhZLSOznIsBRDDFVOy5U4tN+EMUIlFtMabYVUETCH1AIqO3nWDmN8/h43rhuXmyc+amDyxAK1HhVrTkcymubqAN8YqbZKEEIQoedEG74ZV2hGDBD19Ni7Yth737zmIypAJRzHg8SaFd5F2BsXP4Dc9VB2Lt9JkIRgYrqBXN3DLC67H448dxHLmo9N20Vh0ccNlF+G0q2Lm5EEsh02YzhBuueFKfOGLt+Ptb38/fvQXX4laYIlt8vRcG9uG++HVI1w4sQN1s45HjjyGJ46fwoZ1Y5ienkc/HCg9Nkb6R2HYKk6cPo6Rvl48fvwM/MDHprExaLQjVlWcnJrDj730Jbhn3+MIPA8Dg704On8GdpJJ0/HG0QmcWp4VFYlpOhhSHRyanYXSq6F5pAGtx8xhlUXVkILqmA5/ObeU/d6b3oi/+/BtOHrmOCbW9ODUQgeJm4o4sl63MTa2DqdOncLHPvgZfOzv/xSv/rFfxRt/+lZkdgWjQ0N4YuoIZg+2cdHuUfz3330b/FN7MDXVxmBfDb//1++EUqtgKV7CK658PiZ6xvHXd38C4UyE3kEbHa+DHUM7sX/hAC7r24Jj8Sxa8y4CytJoNa2ouHT4Ejw89ziu3bkVdx86AqWR4MKNGxDCx1SjhQHbwhMnzkClaiVQcMO2HZhauxmNE/MI/QBZ2IESs1wjhVFRBWCnhgPD80AdispCAi0v0RCoVTWRdUKxpKZqApWQyaDaK0MSdqRplfbFwkrJ3DeCB+ZXKVKOUJFCAEJp2jc5x7To0mZJGzzlblwG4RKLDMQ+aDpII1+gH62GxINs0+V5Il5a6ZBIBZ5opp5bjqlQ8yNRtMVS3qAL/GPBANVUPEdM00bouXIzngZUUeV2XtoDaefOpHk5L6igh12l8o/ZXmkoCiY20Jq6lBWD8Ym8+U9NAyq3g7hModpKQWKYiF2fXlMB8URncch8ugSR1QPbbwt0jAMWM1Ca5uWFGdxurgfhElIBEElIDMeLA23NBKEKEhKDsxBUogHaHVFGUiUpTcIskDCzsyo/Xh9U9psg0VJoKaEkf8YyCC6TtmIVShTBIgwVCEL/MaWd+TbRhq0jREj4F1OlSU+rDq5NHHnIaHVVHGgsr5BMN7YIs3BDgWnkWYQGswhZmBJpcCqRZImqbIXNaA3P4SLFkn5oCOykfVdTCUFpt7TkaxJGpvjZlsgG0Wx1UGV5h2rnBSfc35aVl8wEOYSxDAOqyhzDVMAfbd+qQuttAooboyC/5nfcZdR6+uEnHpSAllhTCjjS1MjLKTpxrgDO8lIeAk0eG3FiwNSpkGOWXEXmhuDLMavouC2xe2tOLFl1il6DknJfM4uOuY3MBmRTdZ72yOuV2KypBCdcYvkLITrfawIavbeqgkjRpSSCvl8lThFrFrTEF+UscyJp+Ra7u2LDYV4fn4yphIQGFKoN40yKnGgjpTqSk0eFJo9FnjNUcqYxW9ddWIaOgLl1SYrYywtnMpaocJ3DSOzrWq0qDc+GriIKfHieBqvGOIgYYaKLFT7xvfy9CWDSRqwb0BRa8nkt0mA5lCwS7hMIK0g6HWm4j+P8eLb58MZ1kdEya9sweW0RMMxCEP6ei+HYGlryUCGA2msjm1lG2tODjApFlpYwu09UxITfFtSA56ENReaOln7AcTT4qQFVSj0iyezTNBeJUpU2Yq5zJ8hgM18y8hCCKslAyrRC6DDDAFoP5ytG4IZiN2apCo8lRbGllfzd71zN5Fsdz+wot7+e62fdo1sFVzTHFuCGo5zh1l0u0Q3xCjVgeazUFruSCu+bqdq6R/k9RbEER1EuUZR2dLcMf7sNwd2jezu7Sz7K3/9mmXUrNcmWoVj584rtK7chd2fWMUuxO5/vW2UqrtSK253hV3xOUVhSZPmVbblUABbLL0POcxW2rFSosVLLcjdU7G5mLvIjV8fqeLaPp5JJ971cIPFvvbX230PW3rc739/1TL756RZUX3K/4XoBdM3ChpENMNIEFw0PYbHtYcfYGqCuImZJRX0YsQ7YmoVqjS2JCaxhHcP1Gm6/7whCygayDPd+6XZo0RLmkwb8ZR+dzMfUfAPzfgs+XMyGDCrXYaoOhjQLvkdPD5v5MgTNABU2J+oppk/P4j//7BtwcnoBfsXDiYdnRKlHW1u6wNLSTNSIVJrwDoXwRqvT35gJxECkSDC+VlfRaHs4cOBUnqkVAz5hAjJEjQjxGR811cKtN16FqJOhFYdwgw6yposdExP48w9/EHbNxnClH8ttF+2ojaPGHB45+ACq60axY8OFiDGLV7zyjQL4OF604yqMj29A6gFbqnUklRRnTrr43D134dTSJI4vncH40AiWlpdhqhaalRSNhQAHpw9jYboJL0kxP++i3+6BUbPQW6+jgxBnTixivH8IH/vyl7FtYitMp4ojJ04j9hT8/Xs+jZ7BCfhxBzdd9gJsGB5Hq9nBjs1rBFykkx70una2UEKBPqzD3kDbpYLe4QrsxMRHPvopPPfK7bjueZfipS9+I67cvUMsYy+89BLcdP2VmJ6bxG+99ofx27/6c3jfR+/Aj77hlZh3E7QWXOx5+HG4sz5edMNFOBm08au/9x/wH/76L/H7n/h7fP7r92CqtYzJxWm4SxE+8Nkv4Y/+6f1oHe/gFa96AxamGjL3Dy3sRxSleKB1BH1RP7au346RHktgh38mxqETB6BWVTwwPYmab2FszTim51xcf8U1UP0M2zaswbb1OzBcHcL64WE0QmAdPOg9BCVUkGkC6Hhvz1ZfHjdUvIiNV3LjYkjHgahCNcQdPw+USkLJsst4eJGx0FLHrK7UQKbrohYkhKMtj5lezMPSVAsJFU5RIlZHFhRkUQBLKm5ZGEE1ExV2kVguFapqCJcS2kbFoIcoSJBEARSTlnTtrIVVk8w0wjoCMVEX8fsSkE+rtyawheq+LFZE9cZcrTiKoNNaGUZgH4Ab0NrIMgleUti+yfZXAjxDbOhU51Gjp4o1UpdcQgI+06HdVxdYkHhU/FCJRTBC26IuhRmGTfijQAuT3HqpcJ116L4rFv8wJEgjs2EmnpnDNtcXK6Gmcj1ZYMImZJZSxFKGwf3H7DCqkQS+BaFkYjLvTtWp5MohK1VFMfP2WKpiUv/IDL8MChuA2XRLu2Kb3k/acnVpxWWeXqSy3ZfNoZTvBaLuI7illTeiYVLaBAhEqW4MBZwJeBTlEhV4LDuwxHLKzDSq7AiPLDOQXEaDUIl2TjavUvnYpm2X20mrs4ZEMXIFJBmayhxUQtIMlk7YJtJJsV9miY8gUlCrDyDOTOi0JjNLjV0RSgIt9WFWqVckAOJlkCUjNL/mKsvF5jKQdJClAQw9lfZYpz6GIIqRuZxrG20vkgckLMrgPsxBL85m+vkwLEugtGnRbs3GXQJaT8AOreF+pwWDlnb+7ogcmARzXhOGVRFOrUYsjFClxDbQgFbYllxM1WE2ZIiEOYgsmzE06DbPU0JCK7cGs91Ed2CEVMqxhTrJgSkLVNhUTJs2P5vlOFS2siQiVlDtd6CGmagSE2sQhhKIBdv3AUvLYFccaKqZZ2hyPWwDXqwj8Ukweb4yp86AmWkIvAgxgbDBzMRMilUiXxULN8+pLHAR+LTZpgjDQI45kxBdyxCbOs9sadhmAQ3LRtjkTVBIoAw3gVqzkWZGXoBDkWgWCAhmOZRGRSt/wOKWlBl8ppSPRFGc29/5wMGLYA7Vc1u2asKq9ucxAeD5yAKeGJpdQXL2wQLPA92uiPKVB40auZJnymtblFjQsgA+QX+aoEblNDqiRGccLZvEaU92DF63AN9LWfwrwJQtMLThJ5zHyBdV6epYHc+GUVZ1lQfhXTdE6wZe/DkbegnJVrJGErqUIR5fw88rW2uLnL9iFF/zdfyvDMEKGMnvnwvwdau6ClVf+fXlhmBCIv6M3yvssN1wq7xtxboT2J0ra7B7rsrrVFbgleElX8Mbom6FXqFYK75XhnjleeX3+ZnFfK8EDLsBX7fisbzuRQZesR2FsrOspqOduayMLNaDN3fFfr4++kCu2CuVaHTn6hXzzv8I7jj4Z7Ee5eKXsrKRYLm7qKRs7y224VwqptWxOp5towz4ztdxez6z6L6T5a60Hc+karD8wOGprsd3qrz7ZoDvWy3rrd+j2aJlwPdktuG8QT42zsbMpqNiqKLLTeKh6dP4yr1345RLRQTQ6HSgB4Adaji5NCOqH88LsDzfwfjQIIZ6a3DVCGZFwzp7DD16DVs27cSGNX1YONWCVVWhJwaCRiT5e2vra6C4FUx7S4gjFzPNBizLxPJkU26m7X4bHT+SG7y+TMNb3/UeDFZsLE81UBmr4sYrL0fVpYWJ+VvMxMo1gHk+V4JokZlXVAhR2pIhdhNEzQQbegbR9jw67aTt0muFCGZcrBvulZKFuZkmHtxzAImeMksdpmZC76niX+67T5QYn7zvbmhUqtR1UXRc3bcLH3jnR7FWqeOxMw9hu3MBfvLnX4W//9Pfk7mdXZzFj9xyLX7ljT+ASn0Ib/6538THP/AJfPJ9n8fhY8cRNT2EbQ+LTR/rLr4YURBix+UT6FX6sWmiBxPOBDZtWI8rL9+Nfs1B0PERtDLs2r4NwwODWDM0jq8dugfL7WX8yI234KYXbcCLfuB67Bxfj6qqYu+e+3BqfgmdZRdHmz60EQXmaD0PCaNYiyspzY4iSpLMvyt3rMGQXcPDDxzEtc+7Eh/857/FkUNn8OqrL8adjx/G5z97v9iSP7T3C4hQwTXPfQ6cClVCMQYGbYG9Q/29cBt57WjTD5G1IQq6zxx+QEoMKEWiYkRgDNtsbeBDH30PfuCWm+WGvkq1iaMi6wAvuv4iHDx2AD2hA6NXOinxh7/+amSdFOiEsAZsaLS8aioWTrcx57Xwuit+BsdOHRTFyOTyLFptF+NnTsKp21Bt8ZDm7a2UdklrrSYNkjyOVFoNmW1XMSRzTdR7Ys/LoDHcizZLnaDQR0b7JEsq2LoqEIRqLhM+JXUarb9U4FA9pwrcYn6gbrI105AiBdojmQ2m0Fqt00dLSH1WtSZwLpSyG505cbS8hnkZBG/GqVpi+ypv9KlglTwsi2USVKLRaqogoH42YJOuQlYhGX5s11WZoWXbUAjGCe1iKqUiaT6NCTxZWsFtodLLouKKUClD7DPcn6UVWq7AU1SBPXJCEX5KbhdVeXlhBOEX4Upq64xDJGKUdlhCjSRh9pgmQC+K2HhK+2wKjccS7bSyLjmkjBNVIAKz82ix5DWCAI3LYXkEAUfKSlGuR8CMu1xVqJxtII08LseEmsSSL6ZKY3Am6jWq9qRrJQjg6DT+W4gyBypbd1VCQsIz7jsFKmVvug6dTbR6AoNhh8xXFNGjKu2yacxtwdmCFDboMktQRxCY/A5ChdmNAWp12sEVWLX8mKPCMWDQ5FmFG7fTggUlChC1z9p1mWlmJLBoh4ypZONqUe1JtWEsDRMVR0PQYbOzidA1sbgwjTNTJ+S66Ng+LPjc+6hW68gUKil55Qe0XpZGNGBzXi12kgeweT1l/wsfhKgqUiWGU9FE0ctWWi/MIWTA8gmq5ahACyPJhPOTs8dx4AoYZh4e6aRRp0LNQxwE8qCG0EjlvvZddBab0pCb+Qos24JBBWbMDETqu6n3SwQ0qV4sANlQQ7GCx1pV2oaZT5cZDkIvRdyJpJQmUxyxnUM15XzyPbI6FxmhoN+EQoV6oNPVjlizQZYn54xdgRZ4MHi8WtzBzMa0oCQhUoMwLURStUXNaCgetDSGy7blqgrDzo9TXguosmULuCgQzTpCQs2ADwIiOe+Y8clSjERXpDCXc8HLn2HF9MRC5dO3xBdlYuZ1xHpNhRxBLvP8UsUWy7JGRSTfqBBscjmhNFv7nbyYQ1UjUZxSzacydkDh78EIfqstcJqQmW3RtPXGzY7Y56nwY0mQo7py3pMnqjx+DFPOmTCtIlNYBhVJRACt1B7t7qYJQ0+gUSlo2QjUGtREg2ExB5VZBHmz++pYHc/k+FZKuLKNtlxwUC68KBcefDOoVLyeYKYMwLqVgYW9ltCtgIcFVCJQ5NdFlty3s03Funbn2ZW3ofh7d6FFYUsu/izn1u0euvdfqdFWUvzxplL+K/1MmntLCrXC6lzAsW801JZtt6XvdVt/C+hWgL/um6lCxVbOCFwJ8PJG/FzqwGLZBZQj4Cysa2UwWrZ4F6PYVwW8W2mU93FZVVn8jNtdZO8Vr+NruB7F/iheW8xp+e+/0PvL5/zs1bE6nq3jySi/yud/GWQ9HXDt24WDzxYFWxmgPlXl4rdSBH4ngPZbLet3nqL68NnwkKPYhu8E9p03yLdp/aDADc3mP8JVeH4HRgLYqoORsT6sXTMMl62SVAalKmyGlPOmjTd0iQJPC5GaGiI3xVLTxbGpSSy32rjroftwcmaJ9xx41UU7WNWJ/t4qNEvD8UOnMDBSQa/twCeoCVS5P+mrO/AYmkSlYJ8pKpSOr8Kb9XGm1cLGzZslp+m+/Y+hQbhAuyRvAsn3eFPJFk9RaeUQi+oEwgK5p7CAydYS3vS6V+DW5z8XF45eAC0Cdq3fADXSsG3jMG56weVotIHhelWEWyzH+P6rr8Nrnv9i/KdbXoMXbn8Obrh0K9Zbg7DNQXzk8/fh6IkvY/OWUYzow9g7vV8KSu4/dgL/++1vwX/5b3+OP/ngx7Hz2tdg1xXrcWzP3fjV3/gl/PbvvRnrJ3okSD+IMvzHH309pg48hHW1Gn7hF34TQabDi2M0lQ4OHziEOx95DEgNXHzxhdiybT2aS4uYnZ3EtVdcig/9zSfx8htuwAf33IZTj8cYs8cwsGYjZmMVymAPxmHj5uuvw+zcEn7zlT+G0PUE5pC36GM6opkQN2++BsGsjyjIcPfp05hOMszMLOL9H/oEhp0+hHGM6U6KGy/djF//9R/Gc7ZciMcOnMYrX3sTpufn0ddfQ2/FgGXVsdBxsdTpYDFZwGuuuQmGpUMdUqFSWaJluG73FTBHLagRbbC84c2ghoASAU8c3ivfC6lKilTcsHsn7rrnAN7w/TdBGxjCS7ZfS3aG93/uMDrzHXTcCO1Ogvm5GZzqzOCT990BLVXwsUfuQ/9AL9b0bYDuq/DTNj506hjm7v0ajFoFGRVxolxhw6wuChS23ErDLZV4KlVqiVjVJCPPUhF0ElG1MWyemXCiSpEAK1pdbbHQEk7Rksbj0jICyR2jNVBadCOq0Wh/pbIrk6ZdkrxMMcW2SkUZgYMcuhLAF0LXqU6q5LZfwkUzh2+0p4dUWDlUUlH1psr5G/kEdVTJsNyDICEUEEm4x0wxnivM3KPijttHRZHG85l5fsyT0w1xqDKPTzL+RDVHCJogjQk3FFHXUQlF62NGSyglZ5Q1RgQw+TWFuWqk5JEfi2qSJQIJbbMERVkiqjHyRVsJkBo69BohWCQFCilJAbMGuS5s9Ob39VQy2/JOUoLQACl0OGYEw6TqKq8XZkNyorM9lHlmkSjdCJKpjOR+zliOwowwwgpmHXJ/ETDSBk4rNedRTQV6QLHzbT5bVkH7NbMsqcaiUk9j02+YiuKPgE822YqRpT7Y75uABS46Ii+CRtspywYU5r0RpjjodCCFDVRwEqBKiyoMxNKoyjbWVHIPY+4/ywTxnEmgq6lSOmGZCpQqj1OqJfUcKrlsxCX4ywGpqSUYGh+RhyEmIrQDB9d83+vhaw50JYBJ4GsTjmZQfW5PAk+AGm2bpmQYxp6PkIrnLIZl1hC7MVLCxyySPD6q+Nicrai6lGcQvBLoKyxwof3c0RD6vliN09hD5GtQrBS2qiHSqnBYbqITJNUwvnYQWtSELm3GhILMp2QunyXnDC9bYWog0XSZJ5ZaSG4ire9iB81fT5svv0dLLLMRmZiop7SKmwDt1E6FFR8YGh4XxZ+0RAc+Iol1oJVdQdppCORnkQ9Pc8LrOKaSjo3WJlSthioBfI02aRNpTLuqCr/NrMC86MWwTVEragqVro4oEylHpeLPYCGJU4GjaQKLGS+hqx5iy0a7EyAye6TwRnIgKzWYWSj5exojJqSOREPoJqIsDFJVbMP8zIjwn+pX20EUMT8vQ+a2JX/SsqxcGakE0HXajRPolapkGaqmDquiSaYujzUW9rD1mnECfmpCdwjsLNi2BTchhWTbLqF4Iu/lMcbrnkkbPZWTAVWnQd42zkKZioUg1GBZOQRcHavjmR6ES2VV20qD6rkis68ALecaBEr8r/gHPaFSN/Qpq9WKQWDD11LVVy6JIKwh9COsKWDOuXL5vtUoQFKh7uIovi6XfHSrwDhHBHO/uP6lAuxot+U6Fcq0AuIV4KsY/H65JZaD75XCiS4bL7PwxIra1TjbnfnXPQrlWvGabuszf1bkC3IbyoOfR5BWZP9xHcogrttuXcwd/2MrcPeyitcWKseinKQMcMuqvO7BzyuOr0JVWbyHg8srA+PiuOW6rFS6UoakfG034Fwdq+Pf4igDoZVad58M7DufkOjZYgt+OhWFvOY+W8Amx7NpXb4TYHneMvle9UuvgO/zJtBCOOPCHrThhAqUHhPLDRfVSgVazYbvB7D0FF6nhbATI8kyjK7txfyCJ4oMd87FhnUTaEcdtJdpu8of2IftSHKxdN4U+AnsdQ7QyXDxpi1YSjzMzsziBVdciQcO7MOazRfj0ON7YPTU4DcX4ShAterg0L45Wd7E5mGxB47aDh49NSUqngsmhrEcuGi6kdh8CRP7+ivY0LsO+xaO4nPv/ij+8E/+EPc9thet5QAXDo1hSm/DbYSwxysYDvvA7sIrt67D/ftOIjYSzC21pHmV9sAffO41ODI3i3ipg0OtWVy1bhtOTp9GVqtBD2xE+jI6cYDN/ePw1QRKO8MbXnkF/s8Hvo7t29bj0YOHMTJex/zcAhYWPdxy47WwRzfjs5/9JNrLC9h08VYsTJ/GgOpgst2EF6cYUnrhJR6MTMNl1+7Gnocex/bRXqSag/2HJrF2oIJLLrsUidtG00vx0OP7sWvTblx35Q74rWk8cOw0Hj5yRCyxrcTFb/7Sz+GjH/okrnnudXhk7yHsPfNI3vraqyGdj0UJYmsGYGV46br16FT68PJbX4X3fvBj0LU25paXxM49PjqEppNi5uQZyW584dbLMHVqBsdmJzExOo6xkWGopokBy8RjJ08gdGO04xRT7mlMVIaxuNxAxXSwa+MEmmELj85OIQgyWMxCVCL8wstvQUvpwYHD+7B702b0Dw/g4f374HoJ+hUH87GHEyeO4MxiE0NWBW09wtbhCWzatBZVU8Ntt+9HI52HagA9dh1juoPJwMMvvPpX8PZ//kPcdNU1OGFVceLIIoLmIlSCAhZEEIowS49NmyoBC6EaFYe0xOUNvuQ+bIekJTfv3lUExFANZ1i0gMrtrjR0RoEC1dZyaMebcwJnKbPQkbCAJGXWnIY2M9kU2nwDKVSgLZOw0WRWWJRBo82X9kRafMktVB2qnPYREtr82CpKWEuLLh2OMTFYnNuFNUsUgHw5ARWBhc6cQI02Ui4/FXVRxnZSUbuFsGrM62N5iAZG7DlZIK2w/FwqYy2DraEs1tCR+j4MtuGmKlQjFQWwzUwuZoMRZrG5Nw3h6DpCAjJ2p5oEkGxjJWQMYfUPIFxcEAu0aloIqa6ioliuHYZkoIl1mCe/xpKDRI5T2lYJeAQm0YaqxNBME0l4Nr+QVmiKr7hShCQgZMkt6gRvzFskrI2lJZlwNmEqXF6KwTmmypPZY7qGkK/RMrHjhjxWCMb4+bEu7dGpS7pHJaadNwsntH3S/h5KGzAtlHqSyPdZYsCiC+YYxkooZQdUNyoaj8EcCCqWjSTIJGdQVWLJvzPUiijdJMvRpMLNRxDQkqpKQ3LetZDnCGYKpWo6DN2QfWyaFcw1p7Gm2oP+obWo9upoHZ7BnJqg3qeg2fDlmFbtIUT+HAzVQqzH0vgauSYUhWputhvnxxl1fwS7cdiBzXxCljdxB/k8LsjxFXlAoWo2EuaU6kCg2/InVeNUC+txgNiyUFMgCsckXUCm9sjx7PTYaMwvotlJRCUu1lKWnSjMQeS+J3TmfmNpCZtbM4RWDZq/BF0jcIsQKAp6bBOu24FhVRHSJo0EScBtIUTlMU2Voo1U5tWAydZmu4KIYDc9q3ZjMUZEaJbnaBL6W1VuiCoW1tSPQf2tQET0QrdCuM12Dr005nSSDvIBFkt3WKhBtSMb3XMZtdrTh2h5UTITaeMPFFp4WVCkIlIMJC0PFm3HhiVKRR4j7NAm6KcSEdze1IOp5zCxCQdO5iLMdGnp5fVDYRmIqUvZiKiDBbbn7dlmFiBQnbx8iNe5wEdsVgXMVZwEnVYIp1pD5LXyp2QKS5sYKcAnDhUknTYMh/tFZwCmlHowE5dP9rIkz1KUXFxe/SROgOpnRyD9e9/7rvPxz5fVsTqe9GDuHgHb2v9w37f9HqrpOApYU6iuCmVZd/4Zb6b4HgKooqijnKFWhlRFPl55FMvjjdNK4Gkl9V2xrAI0lW2u5Qw4gkPCre58uGJ0586VwRFvVsrr1A33OIoMvu4cPX6fcIoAsfj87u0ob183FPxWo7wdKxVZcBColRWR58of7M7P+8Z2fot1Ku/bYp+tlON3rvX8Vtu10vp25z8Wn1mswzOVx7U6VsczMcpZe2Woxe91/+zZAt++0/GdrPvTlcn3TGb9fS+O73omXy/tPn6K2AphbDCBKtAeScFn7XZVQ2NqCdVOgEFTxa61F8LQhuD0GGJnbS/GqNuGtCRqvSYm586gTYkKLV5GCqdqgi46NrnSolQdrqE/dTDW34M/+KO3oZakaIcBvv7gA6jGGa59ziUI4AO+ixc/5zno7e/B1JkG+tdUMDBeRdNzMbewiKXAR+qk+Mv/+kuYWfQQpSnW1Nfi+295Edb1D6KW1bBmfBhaU8WX/vELOHlwDsvHXKwfGsLD02dw3QW7URmuwPIVLAeL0tB6dD7Ey26+TnKmNq4dQxLQDprg6NQc+up1LMU+Gqc9HGyexg+99o247qLdGF1jo70c4ZK1m+BnGW7YuQvzzUX88Xs+D81Q8ND+xxGEIfrVPgxtGMcLLroadmDi0x/7KD7wzg/C0kys7e+DgR4sLgcIaJkMYuy+cD0Shya8CI8ePoC5mUVohoPBSj+aqYuplotPfelObF4/gX1HD8FHhLuP3Ie//tiH8X8/8VXcs2c/FubaSMwY20aG8O6//3skXoyHH74DXjaHG3dcwbpQOYgISnkHz7KU1FDxpdPTGJwYwm/9j7fg4ucNodFcxvYNG+BUHJxuLyBb8JCxlMLWsdRowekjlDJxaPIEZptLuPvhPfji3gfxyIkjGBzrxQuuuRAvu+QmUZBkFQXtNMRcu4G7Hz2EqBlBbcYIzQyD1iDONFt470c+gHv2Por3fuKf8bGPfgr7HjsEP1Hxpl95E3aODmB8dBxWpGKx2YHvhpiam8XsfAMPPXESqhmCVZyWSpWLh5kkwPjIAIZHO1gzXMcjTzyBa4wYBosidFuUJ1Q9MZswJahKaePWoRgsxWChRUVsmgmhFTPwMtpaVYFAVE6Blk2LzZEsVkhhSLGGJbl6VBIlqcfqiFxZRjWemYoiVmWjbWZJU65N+GaYooyJpXSGdlMqwhLEpCZxIHmIeZkH1TpnCwyknZZwj22butjnuA6awaw6Zgz6SCRXiwBME7tqkDLgX0EsNt1830uZBkslaH3NDOimhiyIoCOGR0Ugyx8Uwjc1b+kFoRtVs1Q20bLLMp687CDSHVFB0hpJS6tdMQWqZJomCkzGDtKmrLDAx7ChtBqwWdxgWqJ25HJoyU1pWU1CqBVTVFmSJ0jrZaxK+ylVQ6nnibKRDw+oakqoBtUVsWhGYSaqJl2lTTiAbtuiwqNVnIUnzOmjspEKI+bl6VJ8QEpqiCVaiiL0HMpQtSj7WiyXfA+ba+nMTZB2iHiYV0jRGbP1EugEOSpLWnREQR4NwMIgUU7Z/HweT8yXM2VfCcxN+KcCs1qBSvhH2zUVZ2ykpZc9ZJmKIQoxzgMz9vQqgS+LctKz258HqyYeAXQmykjaQL3WNAaYB6rrOLNwCgePTGLGpDpLw0RfD9TBjTDZ9hx10Dc+JC2v8GL4IaMbPFGNalGICm20bGNOEhhxBlMxEXgE2B7QcGGyuEhlYRLgKB5UKvIEdmmoKBHCgDQwhM5cUJJbP0LLjREnHtTUkZxCKuKCeRdnzpzB8twpuI15yaUzDGYmUuXK5u8IFpViIa/7PiKWtfiL0DVNVHe0j3K/u8uelNkEVDGmzIPMsyZTKjlpSTeoVwQqhgKtaiBh2Q0zGNke2zModvMocCVvj9l/VEgSnPkh0GGhCRs7sghGSiBKBXlTgHBcrYkllu7kNLGQ8LqaMFeTFls2Q1MdrAqAN9wm2MObmQ5CzUTNYkYfha8JtCgQe7ifsV04kTbhhK3CzIcsznHFh00LexSI4tPMPIkeMDQdCR96pQa0/ork+QVU2jLzUnNExZhqlth4ee1JPWZL5qCOWZeaxWM3g07FM1XJ1RpUM80Lfio1KIqFyHdh9VpQDENsym4zFFU+Qbo0S5+Fznw4wIjBCu32vJbyHGHswepYHc+CsZKSj/DvXMUbVPSVbbxFu2lZSVUo8qieKgAfvy7npZUtsoUirVgXfk0Ax58Xy+lu0KWyrmyhLavE+P4ywCIoLCyn5XUoA75inAs2cRlltR5v7IrlyWeeVeE9Nn/VN15TlGyUbbZ8T/F9/lm2mxYgsFC08fO67ceFWo6j3FZcqNl4s0nlZWGlXinj71yjeE15+SsBvu75KjcOF+vSbTsuHyPFvizbfMvbVv788pwXmYPdjcnldS7s5OXswAI2rjbtro5/T6OAeWUQVgZi58vO+52+95myjz5dIO7ZDPje+j2a53deId+s14FmMPQ+t9lZno7anILjJ2bQWupgdKyGhuJhermBux++B76/hDiowOnvEaWN2/Qx3jcgipa+nh44vJtPqFxQsHy6I5al7WsmpIGQN3K1njpOzTdx75f+CZGuY9e2DVg/PoiTYRtfvuPz2Fpfg7H+Ady+9yFoWYzLL7wSNz33UlHiMAydtsX51hLUQMWb3vLn2NBbx5ahMSwtLmK43odG04MSe7jt9rtx9a6d+Mre26FXAgxuqKHj+hgarGF2dhHLM8vwaUVjFlMHmDk1hy/c/QB2bd2GWI2xtq8HQ/0OtDDC7ffswWKnhbGJKl58yWX4m4+/AydOT+Pxo4dx4SWbML+0iP4+C3cfP4DNG9eL6KEVt1B1hnHVhZsx2ZrHYGhj0j2ELx3Zg5997ffjN9/yy7juhitw8KFJqG0PA701VIy6WI377Rp6lSp6qzZ2DK2TG/qjCzMYGelHn1OHVckw3luHYilY9DtodjrYsHEUN1x2GZbRQWpStRJjY2UMTr0fNX0AqRUgVBzYShU7do/AcnSEs4EUAxB+0LpZMXSM1mq4a88e7Ny9Dvd8fq9Y2O7d+ygWg0W03Q5mg2UEzF9q+PAWG9h78Bhavo//+tM/iXUX7MJIpR8VJcMFwxuhsdE0NPDIE/fjwORptGabqJkmlrwO1g31Y83AMH7k1TfLzS+t4fsfPwqLiixaSw0Nh2dmsHa8H1dcMIYfffObgFo/qr3DCHjXalONw9iqEMOVGiaXFmEx70wn9KoiszUMVXpxyYbNePMf/hEqeg/cVoy/+extWLupH1rNBCqO2LszBvpTdMMbfkNuwQUEJCmzsGhLzwEObe0MvUcQI6YVPKJLNVeOMX+KgfQMLCN0U2MFBqPhIk8s2eIAjdjdG0FjIQbVRaaCIEzkRllUg5TjUbsU5625VP1QeUboI0IcnUCL7baZ2O9CKuAIxdJA1Ea8oSbAylulFWhs6GRxCNmnG0KToDxCrEhuxlPa/BQq7iTEi8lrotgiwGURh2XbiGhNptSH/RNUATJnT3IDWaKRqw6pBKVoTksCgWu0uqdZhCQMkMRnbcjMtGMmoZZK2yYnL2ajLK2LSGCbeT6jWXVEMUbwTgVc4gZy7hP0EoTS9usnuihGmYOWUElJ4EE1EoEmZzANJXORKk3Cs7w4g00pGmwjyZuT9Qym5BLqZ+2VPnSWB9D6SiBL5VeqyH7m/DGvjBCRlk1apA0WilAZRXUV1YVUBNLazBZjn/uE853nH+oEglTldVjYwflQBCKT1jEjMYkDUT25oirjO3JFMq3XQRLIeU4VlWGQZLKwmHb7ABGtq14q57rKwg9VgeqYAv1Ui3ZzH2p9UKBSkvjIMhNKxUHgelL4cnTqDMzGFNptqrFSdM4syP7WGKBI2K0yO5KPGhR0XA9mlEIx69KyXnUU2DYVixaUigWzXkfA8EZaWk0Leq0iZSZZrCEMFFhZImUtIExSqaWjPdVAxH3DVmjuHhZE2BYu2LYLIyPDAglTj024LIphMiC3I4PLplnarTUTCY9nqypZe5amSxkKlZuhU5XcR53lFmyxpqWb+4JNsVmM2HDyfWVVZD4o/3VZPEOIGTaRdML8nPY457GckzyveoxQMkNZbGE6NTkfE6NP/q5nGnQWSOkWktiFZlIVa8r5yeNdGoH1urRG8/zTbAuamSKLXNjsBu9EMKnkhME1ha2EqGnMwOP5yHYSH2GUImNLSBKJZT/i+ZgqArZJlAmpWfhTq9KuHCD1WDiTwjEMpBZt5ikS2v6prjWs/HpgETXy+ODxzdZpvkMaRgC/A7dDxWwVCbMKlVBU/YYoMkm72bLL4zxBnXmL0qmRQFcDaFTysbU6DuDHGQKW3PAaRoXj6lgdz5JRQD0COf5XABhmrpV/tpKNt7B7dsO7QoFXgJayBbcAYuW21AIMEXrxawK4sp22GAUgKppau/P9CsVWGWYRFJYh5EpZhGXlWQEMaV8toBOXUajyilH+jALuFa9hKUX38gmsCCfL7y237RaDCkT+vPhZuZyjDMWKbeGcFfPE9eS+KsBpd6NxMVbKNSxvf/H3lSzDVElybgqwWN6mcllHMcoFG8XrurejexQAtXvOCXwL620ZBhbLOhf847J4zKyO1fHvaRDqFbCvGCt9/e2q4Z6s5ffpso8+HQrEpwuMPdXlvvVJvP/ZDCC/a5AvchOkDNGnoqfDXKoE84krTatU+FExVdF0qGzT5A12J8TVl24RxYcXhxgZHUaUxNB7dShRCKuqwKipqFga1u0eRhzEOOUvSvlAJ4pwujGLdX2juOpFP4QLxjfihu27MNdp4EdvfC2STgcLWgOnZ6axc/0ahJ0qqrqLhVTHmv4RWFVb7J5+wFZJE0P9o9i/OI0HDhzFNZdsxd995KOYO70M265isM/Go8cP4qbXfh+WXRdDlSFsGF0nDY8Bb76lTEETa3JvTw1ZD9BYaONr99+HuYVlTIwNwHF6MRuHkvO2aedWDFUGccnOXdAVBYvNOWxctw73PrAfp6Ya2HfgCG668rm46/HHsH6kD4EeotGaxu37H8OxyVO4/bFHcHqqgddcfSMiTUNfXxXuVAdxkmKoPgQfBgy2CwNYO1TDa37geiy3Ijz8+HGWJ+LM6WW028tQLQUNP8Lh+RkE7Qjrq/1waiZetnMLxvr68fLn3oCaYWL35u04025icmEKm4bHYGVVsdQteS7OTDfh+7H0pg5vXANn1JRQ/7YbCDScbzdRsXpwutFAGHtSqEAFVEx7JG9RZ1wMaQOYzTrYsoZlJi5++6/ejazTxpHFM5jy2xhdM4R7HnsEH/zS51Ef68fGvgEM9w3guksvh5JkaLgeGkEHn/v6PQg6GR47fFRUpAFVS5mKpBNLwcP9j51Aa7YFlpze+cADOPn4fpi6IQ2NQ2sGsH7dGL746F5ctGEdxjdMYGJgEJdu3ICLNl6EaWUGXtTC+GA/Hj9wHCeWz8ANQ6w704DTWwMXmlIhRUKkG1IyQysrlTjkZAozKMUipwh4ErCoRJLtRnUX4Y5YfDMLiVh9NcnboqLOV/K8NgIvWvBUqmPY9KrqCPwULq2jbDLVUilcYSENyzQkn40WWdqHVULLszmAbNAVUEHokolSJlcbUlmowTQjZAqVVbzZ5zroAhFogSTw0mxDgBi/z8wuQiUp6qBCieyPttskg6UpCKlsY51DFEEJPQEfVPewGYCZeVQb6eANPxlmKq3HbDYVlZ7N9/EGv0K0IGpJ5gAqvgcvTBBlGfyASp9MSgSo8JImXAIG14ffDhCGKXw/gsuyEcIwWUcJ3ZOiDsfKlZNsFqYqkBZLWn1pIaSykSdR7AUCRpjFF7jUulrS8MkmWlHs8eJHdRdCxGqeccblUdHHOSNUZE4oDwp+P+J+JdghlGH7KvjZgKlGcn1gkzcz6pjraFL9Ri6npQhjKqCoMmQqHo8j7nNIoQqVb6YWI06d3CKqsTdEYd8CYFXF9klAKkZwWmVVG3GHdnK2rvI9GdIqbZS5nZUPXQjZCEAzUZzaMNUAEQs7bB121UTabKDaY6JisEyjF36swdQ8tDzINlvVXGXF2hZk+T6mbTlVQiQZVd8dKSzxqFLkPBP8aSm8xrLMG1traaGlVVis3Caz2cifVLRaLqD5ME1LCjVYiuTUaA925BeaHM9qgmajid6BMWnDpaWaWY02m53Z9qw50iKdJR6ykCpYFpV4UB3mLxKc81wBKqzH1mOELHjhsUPVKiFiFkCvVGAlEQxHk1ZtSzdkG2hfZ3s1Szs0pyrXAMumTz6U4z8JFLR9FpSkMKMQnTDKi3IiF2lswXVjKFZFgCVVhMZZ9V+UpNL0TFt0II3CvO5YApY5pB+K6lHTgJYGubWZQJlmbsVAKG0gzPrTkFmWPKwx+DWhG+Gpkki+o16tIqvYoiLmey0qaWNmihrQq4wdYBFOiigmSGaRhoJMp/KP/b98YMFrjY8s9ATmZUGcq1CrBKYu7LqJpO2hysIRFfAEBuroNAM4PYSmTl5+QvWvHL9UF1M1SNVpJA8nqGzkQ4/VsTqe6VEGIgQ33SUa3TlnhEcEfwUMLNR+5fbaIlOPf3IUOW9lddU38uxKAKrItSPc47p0F090l3wUNsxCGcc/i0y67vy1Qkl3LqjUbRsuRqEspK1W1rGUmVdWzpXXoTxXxWsKyMWyjnJG3zcbZUVb934qgyvORVkxWFbXFduzkg23mMeVikeKz19p8HWEkJybYrkFPCt/ZrmFuHvuy3CuKHQ51xyca3CfFOrA7gZg/lcoJIvXFMv6Xla2rI7V8XQAwO8ElK30ev792VDucL7GSmDsfDTgPlXg9jvfw8DuGYV8Rk1DhXcVHUB3FTSbLtRMQ09PXdQW1179PLhBAopJeoZtTGzuwyOTh5HZMSp9JmYXFuTmPWvFWNc3AtcLsX54TPKz5paWJVTfp6JkwJJiVT+LMRWewX9880/htgfvRGPyGMzIwO133Y5wOcDu4U143fe/Escem8bU5BTWjAzhsSceQRQECEI2MiqiQugshVjy5qGFOibMfnzx4Qfl5qPimGjFngAW3mA//4qXYmZpAUfmTmImmsWi28L+o/sxMliHO9mC50X4ye97Yd7OiBChlWB4YBiJY+GSq3ehZ00FL77mKpx44iiW4xb+4bOfxM3P2YLZpTZmFxvYsmEMaSXBfKODT91/p8znwydOI+rY6B22kPo6eof7EGYRfuj7X4mO5uNjX/wc+u0eoKZh864R+d5CYwH9QzWxR46vn8CXP3EvRnt68ZydE3IDpldNLDaWJW+tllZgsiSl5cE06xjUhvB9r3sLjk2dxmfv+hp+5mU34rmbt+KHX/z9cuN886tuwgVjOxAqNgaHa3jk0ScwMsabMAUzZ85gTXVEyggIQLWqik1rhnF0ckpyq4xYwbp6TfKsqHxqNyL0DFdhaTaml5cxMrxO8tTW9NRw777HYJhVUXc8vG8/6vYAWh0Pmyo9uP75z8HE0Bpsu2AXRqvj2L1lA9b1jeVZY4aKof4K9h+ckmD2kXpFcqkIiHnD+qn77kU1rWOwr4q0zmw1AhQFs0cXMHdyBj26hcNnpvHo8f1YbLZx56MP44EDe/GfXvdmfOrr9yNTK/DTGINOFbs2bcIT08dwhdmBXbORisKMJ1QquVWazttjwlaqXdiHQWWaJjZUUftpbHPOVXGG5ONRAedKkQWbJ5iRhyQAhUYENwSIbNtNYxd6lYo2Q+y8LP2grY5lFTyeaclTqMaieixKoVcsgPZtqp3CGJHJ7dahUV0TAhU7kozAwA2gEVKoNjTHFvWe5uSgkqUJtOgx1iuIGbzPbc0bgxPaDcNEgLUo1zKmrcXwCfYEVCqSpanSSpgoSDxfCgIMU5ObdVqWdY3FCxpjx6Q5k82jaso8PmqVAIQdsUZTGchGj2rdgRazLEAXJZOt5eooqrM4udpZMMK2XM6JlfmiUOP1iICGkxsHvhSIxPyAs6XatD8zhi9OOlLAQUUS4WkQuaLwoyKLWX3MRqMsj8eO7Dqq5HQTOptTVba40rbNLD1VjoWMitEKVUoZbIXqM2rE+ICAELiDKI2QZMxtS0QFSjRK6MjGXm4L14lNzBS4pbyG2gS5bJJlI3Heakvlk8ljjrZTnn9cd9quWVriaLCc3Aau8LPEpkuIwmIF5qYp8rACsS8xCVQX0gROayiz/+gaJ5DNqFhODKS1IQFhCFiS5GFm6gzCMJKSkyxdhsr8vSCgMVkeJlA2rSiBwGaxCWds+dURuy7q1aooUVWbcK2CJLJkP3hxhA5iJG4sqjKSQB5/zPCs12sw4hRhEIiiky3RBP6SM0cVqsllWqj390hZxVBfVfaxYiuiJoNPdayf29NZZBJ7CALaz7mPFKTMUPQJyhU5Pq3MhJUQKuV/pyWdLbIsmgi9DGGzKa3BtID7TTa/K1BrebuzoQZIpFAjlOZs7t/UVqGbmdjkeZ22sghOzYCZ+FAIMy1TLL4Wy1JUDRS6MTbAUFJYOi2+nGtdojAI1D2P1wVVCl+SiiUlL+T4MbMZ5dhgAQgz95iDqENTCSRVmAhENcySHCmbSiIkfkfyTWnPpxKajxaW/VzdSfAf0OrebMLkelKoqRjQwhYyNxJwGGcsxeBkW3D4MIMgLmPxj4K405aYAJafSKlP6qFqaUi9pjx8YQN3RGif8iFfVfISY7cp9uc4SWBx7mgpV6swq3VpEF4dq+OZHmWFHJVd3SqoMpgp2z+LrwswVFZpFcClgIaEQQXw4yhbS7sHYVVhtS1uaFbKqivAUHeLavH6bmtoAZ+Kr/lzqhBlfc+Cu27AV6gKi2IMWe9SaUYxP2WgWHxuoWzsLvKQIo4VbK8rzUUZjJX3U2GPLta7vD7dwKsY3c22K5VfFN8rlJTl9fhW7+Uo22rL61FWKhbrXCj+uluMVxrlZZXXi5mG5ZzF8v4tQ9eyHbpY91XQtzr+LYxusHYuhV1ZrVdYd5+KAm6lz3m2lDs8XYUaZcC2ku3/fAO4t64+jDh/kG/IZUh2LK2TfhJi83APxnptWFGCvqEqvvz1u3HpRZchcTM05z2cPtnA/GQT6+oD6CwH6LcdhJmP9WMDWLNtMzrtGI8fPY7+ao+oCNhAqZiKqEgiS0HqM9cqQ8VifhcwFfdiurGMVtyA3afjjrv34suf+hxUQ8NQfxX3PvAILl+/FZdfshuJT4shMNTfhx3rN+K5G3aLwmpGacK2bExMjKM6VsH4eD8++N6P4WP/8Gn86q/8DGp6BRft2IZ+p4o4TTHh9GPy4KJklKFXx1++76Nox/R7RXCnEiy05rD/4Ak8sGcfjjxyEiECbB1Zj6UlD5WhPjx6xIcbBbhs127cv+cgUt4WmyqSloo33HATNEtBYrqoJCZSJcDC7BLW9fThw1/4BDpLS5ibbeODX/0C7n1oLxbDHpyYPYM142M4dnISL73mZsReByNDE9i6fQPaAbBm1MFzd12MpWYTLTeAU+3HjrUbcHxyHoemTmC6OYP3v/938cTJE9B1Gy987a/gDf/pP+M1P/XTCJsGfut//SHe/Lu/gZnmJDqtJaQVDcstD6PDfYgXYxw5eErgUBhRGaJhbqaBhaSNMWsAHSNCW0kxaNYQtGMM9FbQaPqo9NK66uD2Bx6EkaWoV+t42ZWXiVWMxQFbhvpRczQMDQzic3v34tF9J2DWNPzR374NWo+N/SeP43jjNAyjF5Ebw3UzUehtXb8TDcXHlvUbRYlCSdRSy8OhmVM4NHkGP3bdKyXTiVCAN69NPUUr8THfXpIm4GYSYOvaCVy6fRve8Td/BXY0d7JFbBgdQuClOHxsEqPjffiFX/wf6B8bgE3rGqGVqiNWbaSRUCaBShmBGvPvCIyp1KsqYsVMUobyM7if0EyX5kzerBPcMNuLuWtSzUEARjhEtR1vjqlyYdECrbkCB1kEoMIkbOSxSfumyQZrirMIOAkUWRoQUpQkKj4l9kVdRVUX4ZLhsBU1lOB9goMkCKBQqacLtkTEkgiqlliKEbDVl19TYcWG4Qwq5UoEaAQ9CZVqBJqa3NTTkpsH5+eqOQJCQjRefHKOQPjAbzBgX4FNVWRO3QQwZaqBwE/E6spzJPE8KGxGZRKZYSGiQpG22iAQ9Ze4hi1q6oSmIuIWsIQgJtBkOYKKgGUJVCNClxw+WksJaQmfKnYNcdSRYgWbdmPaLWMVqRpLZh2tvrJceotTLjdvCRaLocpyoBh6ZkCTDEbmhxF2JJJ/5otakC7oRMBelmpQpViFOXE50KVEL81M2CYLPjQkCq3VZD9VOaZ0qg5p1bUcmBTg8QJIwGqbAuFM3QIXwyIYrnPY0RCnFgJVhddm2ynVjGzyVaAyR40qYyOBUa0LcPXDAD5bVLUQSsBHNAYGe21RWSJoIps7JipE149R79XR31+RBltCvySMkESqAFC/7SN1qXpk7iOxIctlbKjMXVR0qLaOpp8gCqg4jUThyvIJlquwGKXKTEYrb9TOLeGhqMAJrzqigowQsciEwJV5bYTPqgorbiDyPMSZjUSx0Qh5TCqIW23QPZpR0qwAlaQD1Q8lKxNBW/ZbSDs6Va/MFzSBTpsWU6k8xvTUESycOgFFT+FoqkBH2rXZ/G3QOs8MSml7SdBeDKDEEYKQPw8QJUKxENIjrGoI7F4psaENPCY8S6nurUALUoHF3BZIaQzzOR1oVkX2s8nXGQbqZgKD+ZsKi3bogfeg0rIfE3zzKVgkD184rQToPFB4erIJh3OdBh5CpSIPBLh9wsedKpQai0tSRLSv10wkkQ4j7MCsVhGlNvR2S1SKtALbPI+NqgBuHn+J25GsTv5uFus3W525fKeaXxepDNZYthKif7CKKHFym7zN5pkAllERKy+PHy1cQtDsiJIvDlV5KNIJCFd57EZIvBY0qk9Xx+p4hke3wquAd+VSheLrwsJbgJkywCrgX1mV1Z31x5y54v1lC24BCvlfcaNEcFPc5HTbcctqrfI6U9lFmFioAstwqlDiFcumlbi4yS0r6wqLcbE+RYtsGUiV56X7xq7YLm5red66C0LKLbQFdCxe192wW7Y0lwfXuzu/rhvAFZ9F5V03RCs+s7w/OQolZRmede+D8jwUc1rAvDLw7YZ3heKPyyR47LbYdtt5y5/D93Q3BBfNy8XcF+8t7/vC9t297qtjdXy3xrlUbk9V/dYN1lZq0+3+/vmwtz6VZTzdir8ns27fKVD7dtXYT2Uefue7rNp7OqDiU13meYN8c7YLV03R28M2ThVLaYLxtWvRaPjyD/6aqaNWq2PTpi0Y6qkjXGZTJTDVWkR1yIFHy1qkY8pv4ra7vwpnwITZa2C20YLSyaBEeaGB57LFMYVuq3KzPu8vSDbRffsfwejAGkz0juDE7Bxe8pwNOJN5mBjuhUtljK7g0IkZfPJrX0GipxhyBiTryRk28dDk49iwYx0uGViL5aUOHn/iGBxDxWOHT+P/vvOP8Z63/T6+/yXX4Bdf9wq84qqr8bM/8gP4s//4M7juRVegNlLDxPAQotMdLGZtVBQNNdOGM2jIzX9mKlhYbop9+d79+7Fv6aiogh7bfxiPnDqGwdoAHtr3CC7evgEX79qGzZVBXDA2gdnJSWlPvGB4M/r76lDNvBxhoePDtvrxwdu+DsvidtRgmb147PGvY8PQBpw4fhymZcA2FTiDw6iPRJhtu1jyG5hd9nHn/XtwotnGVmcI//1X/xh//D/fhdloCZqVYvP6Mbz3n25Hf18fPvEPn8QbXncrPvXhD+N1r3+5NCFeuWEHfuZNr0Wo+QhpVY4z3Lx9B+am56HVeKOZIfEIOzLcsHkjKpqFl2zfiU4cot8ZReCrmPY6sDWiKw0/df0lmD3Txlq7hgmbuXYqDndm8dWHH4TnuaICO3x8FkfPnMb1a7dJRtNiI8D33fIS/PxLX4y5hUmxeXYW27B47I1WYdE2RmDTmgdZxuETJ3HrrTeKbVVkLeD9fIg9k4/jlT9wCyZGhmCPMACeNrY8F+rnfuINGLp4GPN9LmbCJcw2m3AcE247xunGIoyKLjDyzj2P4KZXvQTDdJ2x3IFNmMymYkg8P4jWMmljDQUI8eaaeW1xIxRbqxRsUPlCtSFz8ajc0WKxf1taLK2obFXlySE5fbSJUuHG7xOwUQ2m6tK4SUgYdhKoUSh5WczWoyqGGWAm4Ym0WXL9Itg6c+wYlq/muXBkRJSkMbtMZz6ZJjCGVl6qI5npp/O9tPZSpaRToVUVO53YYFNCGCrBckUdOzNCn/ljhHFUw9EyTKUdVX2xtNkSzFEpFPtU1rEdWGV8nJzjfjOAnjHbDmi7bNrURMlm2QbiKIBuMLQ/QxayuIPB/InATMW2kOqVvIG0HYoCjuvLdtMoIEOiZTMRm7KlJZIlZlLOSNsr8wYpf0p8AXEa1Vq0cOo6Yi47JBRVRdEWx6EoGjXaQg0hewhptaWWjDApI1QjnOMhR8iXSV4kLcyWYefAj7BGTfN9lXtyRXnH4gdmjRG8KIEPLeUxw31SQYc5bVkCL4ikiVhNAqTg8qh2CxGHzHPz4VLhpzKDThUVl6l7MIxY8k5124GZcg4NpNwYJUYY2zJ/kRvJdUNJFJgK7b51aMxH00z4bRe6EqHlaQioKKOFO1Fw9OBROTa4/oZD5WwFap2gmo2qNlLNhGmYMicaMwzlfLCg8mFIysZkIuqIrUpIlxpAlSlyHkLJcHSkrIU5f9LubNjQCad1VQok8mxLUk4TEcEVgSnVglKGY0ENliUWwKDCMQpgWY5co1Lfkzbr0KQVnHc5FRgsi4hVaPUqgmZ+7KgWz2tL7O1hJUNPvQejgwPSgK2mATSqoBNLCi8S/gI7CyTZYkslsUa1HqfCDUQdKdcGRYFlZlA7yyKP5PmmGLpY2iM2MJsaorCDoOUjVVy0JZ7QFZuy4lQQq8zh47LYwEx1m/SqQLeqUuoTuS3JwjPqhux72pZDnvtUiNq6KO9UzZEHElWzIy3gplMVu3KbDxgSNnsDlZoKt8XiFyreeZwpcLQY6K9K8CHfz3Ob80CbcEJ7daxAd6oCzHm80d7Na0vSXkScRBK9UanZyKBjoUWlbwifpTW022e0WvNTaBnP4EYmDEeRPED61HXTRl8lFmu3xeIRwkSvc77++bI6VseTHt0KLw4qn1ZSVRG6lAs3yiUXhELF94rSiG6AVCjQugseCojF17wveu03AFB5HVZq0+X3CnjH9xZA7l81wP7qr0leHG2yHEV2HNV3vAHptqgSEnJbiu0pltdtQS2gEZfRDZUKO2t5jgoo2D2vXGe+twxMV7qBLIMs/lfAyMK2XCy/+Axu90pzVoZ23TmK5eUXULCc6dcN4gqQWi73KK9vGRAXo9xuvFImYPn93e+VffWnf/KN+eZxVqgoy4rAbqVoATrL+4L//VuyF66OZ+cojrFzqdy+XfXb+ThWV4JfK6nezkfm3jcbzxbF30rj2y3mOR8ArpiHZ8t16HfOwzZ1Q72nukwlk/Ctpz5ueeOtYkNcU6thptFCwDyyjDdYBgZsS0K6b7zhVswtHMeRQ4ew3G6i5XmoZSYiJxW1ng0NLnU3ZwsGrA0OWo82YI3YgJtAHzXgP8Gbnxj9a3rQPM0bxRDV4TqG+6vQUgfHG1PYtHYCp+bnUNWpoFEwONCLxA9wptUSe6rvhYi9VFoe7dRC/2gFbieUzKEm1QgRUDMsaHbeJliFJXahJbeNH3jpi5E1I/SMWHjn330Kr335tTh+2MOGHb14ZM9x/NjrXoi/+tCnMDa2BfuOPIg4ysQu9qrvuxmf/tiXMLx1AA8/eACaY2Bz7wTCiofpMwvYuWUDTs0tYPbIAm56/hW459h+sTghUPDGV70cf/OFf8bWylp03IZYNQk5zyx2cNHWNeirVhCmEb54zyOo1HT86C0vw4wf4Gtf+DJ67H7c8sqX4v0f/6QoVvrjFLW1Q1ieO4MsruDC7ePYuG4rOvPzGFs3gv7+HsnhcqwAd9zzBExbwVf37IeheNBtCz9+62vwoc9/Fi+97nn49KfuQ6u3gx+58eX4uy9+Ektn2lJiYVQVbKuPwmSRxcwS6j2DWD9axZ79j+MlV1+Cr9z9KFw1gJ6aYFIdVWlr+8Yx6c7iul0vxF0P3wUHEfTefrTmFrFz5w5MT52A01NHJwil6CROI3RYURlneMNzNyPZtgsz+07h5MIiOkkHJ87MYduuS3HgsX0Y7K0g0hI0ljpyY/qaW29A2FGxY2ID3vepj8H3UjQ6bq7Ei1JUBiqoMhdttIa1izoOTc+iOliDadFaa+HoiSk4VKSkEfqtOhynDv2SC7E8tShKL92PpQiAUI+gUg4okiRmt7GcQyGsocqOBReERYYc08xDo90zCQnK8mZd5s3pzPcKU1H9cRg2FUEuUub/UW1HZR/VXBlzzQyBw9LjqqX5zTDbVaVoNUN21hYrFmDeMbOll3yOMEijuiwvdeBlgYlbCq2VZ0syGHZPRVSmErDo0M7ainMFGkFdJtlvhBuEZizIkO00WDqRwmABh5dbLAlxTAJPNpRyeZqJkK2aZCRU54lfVs+z4dgGq1ARZYmFV+Y1BSLdhpMFCAg4wxiOoUkLqi6lFAF0KqdYoGDwfbHAPloRWThBxRGVsikhCiEis/+jFJoawFAILHKAyPMsaLNhNxFVMOEQt1VhkyqVRmz0pVKS+5j2ZJYCcB+yOTkJJcOQiiY/TOA4hijwqGqj6lmUkkaCKCX4McXWzFJazg/3X5hqsNRE8uGIdCO20FoGtIy22xSKynxFEh4FGqEi7dlOvu8U1YSl+fA8Kt1SVBil2VEE9LIJNWOWXxhKfpvkzBFcUaXJ/czjSNekLIcEiQ8TCCVzSzwhDYtKmG1nInAzWKmHofUXSKu3uzwp13KqN/kIiaUytpnCT6mstEQlmlm00KvQEx8xS2dTS5SAnJPIY9N0DbEeQfMDMiexv1KZygRHnldpyMZlgjG2hzDbUIHCnE8e+0yu9NvQeazEVFIym44KMEI4HXoS4sLrb8W+Oz4hLce0GFPYRwrM31EmYTatqR4hs4qAOXAJzz9PIBkvyVwHU8+bmC0b8IMA2lkgyXxEXgNCpSZFMPylmPD3mUHFK/dTzE4dhJYBIwoRaNZZaKUiVG2oUUfiJFKFJTKOqGxZ/MHfVWzU9mjXrjLg0Bawy9behCCYCkCW1PDYkuURmCnI7ArioJMX+MhxyXZuQ5qCPeiohC481ZTzyWCpBwEpjz/m7ZkZMp+ZiRWkLMjgPpVDgiriCJGqizKY8FFhxmjI3/l5u7HKnxOExlpuXSa9FxuxAhYNazEfhqhIHVseNBDs1XRT5jtpLSAzbVi0dPMalsYIQg2mxRIX/sbwkYaZwMh3vedd5+OfL6tjdTzpUWTqdYOcMpChrZU5fEVeHgdfR8hSVuuVQUu3XbWwxv7W/7wbv/9fr5YbTgKac6nUutVv5eUXYyXVWvn7ZahWhnC88SjfjPDvvLkr4FoZxBXv47YXELEMqoqvCd24TH5NQEiAxZ8RVpaz67qtzcXndasny22zxc+K+T9Xvh7BXhkQlttmqYB7wU1XfOO9XFZRaFGet3OtQ7lBtzyK7S/PdVmVWIzi88rLKH9eeW4Ibou55jFWwMDy8rqP1fJ+l7k4uz78XmHXLZZZXvd/bxlXq2N1lMd3WrrxvbaevCavnuPPvvHtQuTzpuSLlyJUUx1BnIOC8f4qbFWHxpsLx0ZfvYKDj92HyIvQ09crapuhAQdJBdAsA0N9DhRHx7q+PlQtC2bNgHekjdp6AhcNl154AQwqjIYNqL0WIkXF2q1bsH7HOLZPjGKh0cK1l+3ASL2GjO2CgQKfd/BahIMnTssNGptfmw0Pcl/MhkZdF0VLqx2gV3fQXxlA2gLssRp8PcLiooshewTtxMOvveVnUetxsOAu4eP334F3ffDz6Buv4MSxJo4vHMHek0fwc7/8g3jXx76EiXXrcPzU4+hzKnjTG34EQ1kFr3v1z6Paa2Op4WHD2BDWDw2g19GxeWgNxgmzllx0GgGufM4O6HVdrMRUrGwdW4t9jx/DhLUGJ5tnoFYrsAwDJxfnsWPtOH7lh38CX7h7D7Zt3IC1YwPQIhULyyHuve8hLCFDJ0mw/8AprK2slRbDqJrizGwDmjKIupHhzkcP4p6H9uIjX/kaPvi5u/DJ27+Of/zsV/Hxux7FJc+5HGv6xvH7v/jTeP/7voBt42tx7bXb8YO3vASfv/PrGNoMVKDjU/fehnDOFSWXM2YgWk7xkhfegH2nj2Kxswgj7eDQqZP45D9+Fo6zBWsGxvDcrVsQKwnaiS/qlkNnzsDIdHz1gTuxcbwXmVND0HJxyZXbkToxLrpwM6o1R6y7b3zNLWLnM/toI03x8UOTeMENr8GdJ/dj0p1GqxHI/m4tnUCmhUjNFFZo4pU3X4dqzcaee5/AXXvuxwc//HHsXr8ba25eJ3lZtkNgA6g9BrxOBv9kEyf8ZVEznTk1hxMn57Bp426xDJKP0YHKvLPRkTo2eQswq8wTc0T9JUUDAt5wVr3EsLcQmhqKEidljh0beB2G4BNK8TVU9BlSlEBLIW/wbZs34HnpAHPxeEwwL0yAhhrBoMquUkNKiMKAfgF1tPFSOUdoRXDB5bGEgYCHN9y0iLK5VaHUjQJJUVklAiFpHc2kfVoxcrWOiCBpvU1iCcEnmmVRKfP6CPLk9YRQEZ8aRAhoFVRiAeOEWswcpFqJYFLj92kTpUIxzSRzTNLiRNWkSN6ZNOgKvHQFjupiadbEiuu1mc9FxR9tigo8wkPaGLm9WZYXK5hU1uX7ko26hJScA+YisgiUWWkELqlPKylbjyMpA6FVV8ksxLTyaiwBMQSgOpYCi2BK1jvPv1PbMWDTPksnOOeLcEOV0lcq89ioK/QzoCJOzYsdCCsJFdkcS/WeRnhlS1aj7/rycIPgldtK6KOxFTmO4bdCafjV2UDMdnH+e5sKyUS6ZaGLXZcFEEzB4/4n3ongh6psp+VYyEI2DlfBDpDQ80UxxVKHmK2vfhtKldbORBptjaqNJDVAlyeXHfoZlDCGrVWw1GjANAx4bhPuMhWEKRLHxvz0cbizJ+D7KjKqTZlnl+SwULEN6Fof4oDZg55Yei0WOFgmHB5zVGUqLHZIJXfRsAPZp3A0GKRmzLGs1cQSTvu3YTMLL0Ga+nmG3FJbymESLSUTzs8r1YGuhjA0FqVkCFRLFOXclhMPflayQxnVGXV40LIRO4Vl8DUe0lYzz0jkZ/sseojBOEiDx2JMkN0jKlz6dVmuwbgBsVmnbD4OkRi2qAdNlbl+tPTSmmzKcSzbqSaIO2wvNwHfFyga0YbNXz5KG5nWB50lLTGLXuwcwkYKAkWD7bBNOUIc8lxSoHkuTDbZiuWdv9Ejse9mBNUq27SpQmUmHpWdzHNknift8yqUIIBHZR+PBkWFr6pIYxa+8CCOoDu2wFJDDaUsKc10pGGY/8NBZ3kKEJuOXJNoU5frShogI+FPmPtH0GshIzjkNSyzpXmdM5mmeQlX6EWIshi2EsHvdGS7MrsuGYyRKJb5AKCCqkNwrMg+07molBmfbBFfHavjmR3nst9yFIBt6q+v/H/eV2TtlfPOqPIrAE+h5iv+LIo6fqH3lwUsUjFXKNi6R5Hl963acDkKpVmx7sXnF7lyZdtnUZJRbmYlfBI4dxaOFdu8UklHuaSiULEVsKmcOch5Kd5bKPrKeXWFJbcbihWfX94HxRwVbcPd++ZfZRF2KQCpWiyy74osweJ9XBbXqRvMlpddfF220HbPSZE/WIDA4vO6X1ese7cNl/NQqDbLduFinQpY2r3dhS2adt2ibKU8inksFJ7dDcbFOjxbVDSrY3U81fGt8vi+k+UU73k6FX3fjbEK+L63x3lT8t38xlvR5xuo1ywEWQzPSuAu+bCgY+3okNwsNDoNVHoH0FheRpppCJfbGBmq4uTcMioVAwuNNoZUBzPtFizVECuPWjFgDhliWVRYTTDnw+w3cOGaXTg8fRC91X5MHZnG5gvWIsvaWAg8DNvrcKZxQm7I11VH0Lt2GMePnUasMu+JLYYpOp1I7sGpFLhh1xVYTBew55HDsNleSKubkqFO1UvgwLIVaZFdiJeRzEdYu3UMahBg3nXxuiuvwvseuAdaJ8/TC9MQL774Ytx0y1X4k7d/AuvX9mN6eRGdpQyjo/2YW1iArlNNpMvrXT2Eu+Bj/fgYfCQ4PT2DV1/3YnzpwfvxvN0XYqBnDMdP7cfU1BKCOIJpG9i8fQxfvv1+uekMhlWsxRBec/OL8H8+9CFRUPzYa16Dd3z4w7juomuwe3MvHjwyhZOPHcF02MZN196A2x/4GiIWYFQs9Bgq1vT0on/IxP0HJjFeW4tX3/QifP3wA9hW24pP7PksfuIlr8ATM3M4uPdRDI1ZOL60hFc973rYvSoWT0eYRRuf/8zXEddS2ISzC2xxZHyYKiquHquCmiX4AaqXSC6WG2tYP9qPAzPTiFshqj098H0Pf/wbv4K3/8V70FGphkux3Olgw8gaKVFYWJ7FYmMJfdUeXHHhNtx14HGxUnqNEOv71iE1Oziz2MT1z9+Fu/YcQl/FwsxcB8+79GLsP3AYXhYyQk3UYFR7WVUDv/n6n8d/e/vbJd8xG1TgwIBZJRgyUPcszLmLGOzrg9cKBQaw1ZLwbMTpwaLSFvtnYznC2sFB1K98HmZPziLruEgYRE+1lRJBZX5YSNDFRZBQsVGXAIhB/Lx5pSWUuWVUw2lyM67SGkdQQlwTqzBZvKBbAhLSmGAiQRyZyLK8MIOKPiVmG60pMMmQUggVdpoi1NSz5R2GgBdkVAqxMTeDosTI5ESgnMkSJQ7VhKRhVAeyuZO2bPlMTaVjGBaVPpaNxPUkg09TCSRyOzILDwwlgddxAZP2Tbn/lyw90jkuM0YMnZhEYEKKyKdajzmDOtgTEhAAEDJKfiD/j+c+JFeMoIiry2YBggyeQ36UwUiYt8f1ZdlxAj+jKpIsTIXnx1KWkapsEXYk/45lIramo5MB5P1JlojqOI1ZRmEgarMZlXl7tFXn+xIam6t5beBeyUQRFbV82MzRZJMxKSfLDyIfdrUXYcwSBqrYCNsIjII845DTywZeZNK8K3mjLNjgsUGlYJxKa3Bu3UxgKylMi7bXBD6rmxWCwRhZkgg7oZKQ9uMwolpUiKxk21E1ZfKvFosTCA4jqFRHGhoij2q3HOhmCfMGqfjUJJ+Pnmm220ZUM7JExiCPM6T9mCAzCXwpbkg1DXGSSbkNLelb+3tx34Hj6O1fI8epwnw9VYVtWXCpjCOL5LHODmLmDmqEmglMXuupGNXZ9sqcOk/gqMr2adp1eRDxPtj3kGhVZCyoMFhcwhoGAiZm36XSSMtjTUk8mIYG3Tbg8/eGSjt2AFtXYNcraCwEefYpYTJzHEV0aCDNXChqVVRqpHoqW2dVE5luIgs6UNjG7frQe2tSUkFgHQQmTIK3iCUlYg6W6wPbajnPLEBhqYfBYhFNQ9ruiEKb0Fap1qCGnjQxOwSGVDJGsexzGHUoWZ49maUuFKsu5RmMTeA1gvmUqhJCrw3Ba+fXIaiJbCMLOGKPc+dKw3iqUlXYgc7jm9uXtpBUbGQdQliWw7SQZiq82BC1adJpC+DWTBO+24ZpVuThHSFiNQkRqrktmQDYpxabRVYCrQ2BmCxX4cOKJAlE/czjOkVF8gVtg23JNlS/gciwULECtH1LFM0VR0dH8lzJNbn+mdjX+Q+UNKDqNH/gwOuAHnbgtxJ84EPvOx//fFkdq+NJDwK3ssqMcIyQpVBildV7xSiAWvdru5VeZaVf8Z4yaCqr3zjKP1tpnYrlcJSX1a3gK15XXieCIIK44rXFunEdCuhXVu0VUOja/ZOiYiyP7nUqvi43BZ9rlMFeWTVXfH5ZQVd8Vve2dCvgut9TvI/qvTL4W2ndVgKNxTjXfJbh5kqqve51Kl7LfcD9Xagby+8rL3el/Vce3Hd3GK+XfL9iv3I/FqC1rOJbaY67P2MVBKyOf8+jKOI4n4PwvNuWu9L3VhpUVb8Lrzyv6/O9PN76JNWIz2YV43ddyadHKZZSH/2VKkZrdeysDuDC0XGsWzcOgw27BnB6sYkTR09KMx5b9SLLx4+/+vsQViI0mb1DG1O/gsraChIpDVBxzXOvYMY9nEELdt1AZTszgYCTc0eQphGiBssbLEzNn8ZVOy/HYL0fs7Nn8LIrrsPuTZvRiV1cd+nFqKkWtDC3HXZaVNKkYvEbMur46uMPIp4P8byLLoHZRzWWCrPHRCsIMTrGm60YQdYBfGDHJRuxrmcAzE/fPTqByvgasV9t2DaKjaNDqJtVPHTmOP76E7ehMpzi8h27sOGCYVx6ySb4iY9G0kCqWegdGkTLi6F4tCjHcDs+piZnkLkpPnv317G5vw+n507js1/6DB4/cgQtt4XjUydx9MgJNCc9vOBFV8K2HWzvGUezs4z3fOSjqGVUC2XotFq4ZufzcfdD9+DvPvtF7DtxANNoY6C/hrnGsiQfKZYKPdZQsXph9PThkUPL2LJ2CxaSObz3Ex/GW379z9Hr1LG2MoB1Y73YsbYPI1ttPLEwjWsvvwY3vvglWF5YxijVhG96i1iyWD4RdZJvQBmqjniH5ug5iNG1GpbTCKGbYG3vmNgeaRMkgPKW2lg/vA7/5X/9GWLbhm1WoFkm6vUqzsxN48TkcTzv6stx3c4LMbFxUG5yd/RvxejQelw4MYq5YAYL8x2opoEHHjmOd7/jzyX3j2wm6zTQY1ewrX8DFAbhkyFQgROZ+LN3vwu3PO9qJFSytRN4bQ/NUx4uW78R7/rL98HJLLQ7sUDnlt+RWgBXCXAqWMTH/vbT0CJDVFVDgz24RmmjPtwrGWVGxZb2VzZEaizfYMNwEkMjvCEooWrKIvAxBA5phFm8ISd4IOFKqIgyBNgRdsS0B7KZMsxBEXPwdCWUHCtR8VH5pZowLE0gMi26lO+5EdVEBC4ZoiBCmjFbriI2TNrmMqptmRdIApnRY5tBp9wtDKBFLt3wue1SMWGK0k5FojsIqYCyWWiQtwFzng3Jk2NeHRt+HSkmEIETQZKUOzC/j1ly/DMTey+BoKGynVeFbSvoECwRLAahZG0aVKHFXPsMQTuAhVAamsVKSjUlQZrObDxFMjY5V1RS2hpz/DSESQRbQgdTAQdK6CHuuAKB2DRsEj2zCZbWaJ/qwxSJGwicorKOSJLQX1GoqGSLaSifGRL2eaFkr2VUgMYsP9HpHhdbccASEyr6CGyp2kwJbjmVBHtGruzk8cmcRso+2frts0E3kuudVdGQBoSTxJx8cEJlmQPNpsqug8QLBIpSeSfgmJ7rlMumrZlgmK3FOTzMiy9iiQ7IEAi4Y14fbd1KpMBniy7zFrNE8kJ1u4YgYJVvItZtJmhGPI4435GHasVGqttQDAsbB0L4bR2mOYTTTRe1wVEYqi+tsoSFMoOSETcEvVaR0hydKlx2dXBOCNAMRSzVeujleXLcT5YqeXP8vcIHLGzI1i07V3apDrSsJceS2GHVihSG0AavqlS5UfXGJt1QcjkReLA0FX29Q2gtLEuWHb893lPFTT/yBljVbVDiBKZVhWNSGWtCa/miBtUYFMkylTozCGNU+6jIMyQjL0lsyQnlAwJmHaYC5DxYFs+HFOy5TUIWqvhINRW670E3UqQEa1VbCi1E+kkoHUei6FMtG3aPDkttiZrR0AlsbZgEfWKj1mHb/LWtQLV02GqImhqh9v+x9x9gdtz1vT/+nj5z6nbtrnqXLEtyL9gGTDWEDqEkIRAI6QlJIJALIcm95Cb5EcglN+QHIRAIJPRucEwxzbg3ybZ6b7vafvr0mf/z/hwP/8n5rQwBGUOyXz96Vt49Z8p3ympe513KpoBXxbBRMi2YVgJDcaRVuqB5AjHZAh2mrqgGlQ4zE3WEHtvgeTAsOI4OxfMQqqaoU11agAly2dJMCM9z3CyDdTW8XxAu85dxYrPN2pB9pWqW6rwg6IgKk0pYWvjToA3yaTd4ZH8TasBDeGFVMkmplmyzDAq8jrvt2Pw528b9VhuKTcWnAhsR1Do/cDFQGSydr3++LI2l8WONPFjL2m0zGNKrgOLI4AlVeVl2XV6BRvDC92eAjxAsg0GZYiuDa/nsNT6Q5PP98tvEkYdQ38+ey+XC5UcvdMoKObKfUWHH5fHBM58T2As1Cfh6m4D5vvxrspbXDKL15hxyv/KFItn2L9YwnIGtLJdwsdy8xRqQe3MIs33NSjy+n6+XNfLmyj0WA3y9I1NW9hZY9LbbZvOYrTN/jDKLNOc+ay3OF4ecK8Ov91hS3UfAlzUbcxv4lZbwxQpCevP4ektUllosl8Z/t/FYK/UWg3k/bBZfL+Dr3cZMafizrjL8YcfbfkRQ93gDvvNxXz1vSr7f/b1XwmXBRsGUh/rRcgFnak3suPQp2HPwHszMLUD1Y6xftwJ7T5zGimXDmGvM4uxkDVq/gaQWoTRsojMXo8TyjoqGl1//XBw+dgxPfPrz8La3/gnscQt6CFT6xjE9dRL9a/vg72+g2FfAti1rcfjoSZyYmoEa6Hju067B7Q/cDSs24Wk2zhw/g/KygqgMDVoPmX3FggCfkITYC1jeV+WzNtoFD8+6civ+/cHDuMAeQ6fTxP6ZKViajrJdhOcHQDkFxVY7htdi/brNYjX+9De+grJjC0Ch6qGkJGgVVYwqg7j/wH7YBQMblq+FUyigoFvQ+1U8cO9D+MSH/x7vf9/HsOfYcbSCNkYKVXrqcHpqHvNUJg5UcPnWrajN1nDPvoP44195GUyzilt37cKpmQls27wZD+w+hFPzp6DHCm64/ln45Ne+gIKpwSGsbCcYGyxirt6BYRAwxNAsB37QRtiOcOnGS1DtL+Cue++AZg/jyVddhCP7jmHv2T1oLnj427f/b/zte96Njau3YHx4FK/5rdfjlb/5PLzjD9+MfQ8/iKe88Dfx5//Pm/CdO+4R6yGhAwVBbO+EBVyyYwfGhgyYaR+qhSJSRcPNd9+CZdYgQidFe24e69dsxIPHD0kpwQqzitNJB616HavG16NZn8VgXz+coona/AK2rNiEhWQaT9/4bNxz7Bu49eRhRLMhRkpVXH3xFbj53m8ibiooDpmYmm7iovFVOObPQXH5eBriiZfvRBQ5OHR4r2TDbd24Ct++814EziM5cq6ClctXYs34Ghw++hDOLMxivG8I851HilzqLbQTDS942jOx78jDSNsB9k2eRLFg4XU/92R86ICHzvQswDw4hQ+4rpRmiI4vjUSxlxL+xTECaY3mg3wqWWgEMlQR8oFeFF0wYVkBEl+Rn/NhnFCPj+Y81iwcEG1cyhIJ5plZj2SEESbq3fZdem8JgIWtxaIOpJWWEJKFNiKVESUZk/AIHgnN9O4mUzjDXuikSFoqBRJQi0jDBhLF7KoSGaRHNVfMRtFuv0miW6Ico8CHxRO0+1KdptPCF9Fy21U3JWDDcYyYkEknCLMQBL6E/AcgIBXtLVSRA6qiOtSoRGS+WxIIVFNTFpMkkilHm6XNVSQEprrALY0qJLaLEkjQnhvGkmUmVmqFZRCGzAehEQsvOL+qUxHomvquFGJYVEgxIA7MzSM41EUZmbD0gnbTVBe4ymMXMCuyG1/WzfBjGQn/8Lja3XxCLfKloZTHyCNgIlzSTbTdbgEM2491WChXFfgubbTdzD5axQlzZW4JKv1YFMsS3ymHkUpFH0HKLDkewASaZkpxjNvy5FyLvQha1YHf9EVll0RNaW8OIzYRa9Dhyf2B76eq0e3EcDQWWxAi6nK8I+6jyRbpJgzNhk+NXhJAdVToCUWbtNIHsn+R5wqwJzDzk1K32TnxoBUcIIiRaDbCIISpeNAM2jCpcHXQqk2gUhmUrEq2vOpKBLfTFIWZadhQJNyOSkUdfpjAZH6dE0LxQqSFEsxU6eYY0hbL9mIWU1DZyGsspOpUwWWXXCR2+V33H0DU6CAtWPC9SAo91KQFPyXos2BrLnyWQ1ANzmvGklrjbss0VbVU6A0MCADz2rTM6qJw5LlE4KrCh2o5iFquZFPKucsU2rSFWKUlNkKrlcr5TbhFeEgLP7MKCT6T0BI7M23wXkiVKs8F5vzF3YxOvwPTLMsHJowHYNBgmBhQ3BaKlSJcL0REqz6ho6Ug9RVRZFYcIGTrMxttef7bJkKfSlQDWhCIcjPiPUGEibSlCwWG3/ZhMA/TZy6hJqAPAp4BFAxonQQ+G6HtMsKgAS1R5XcD73MsA9LKJhC5CDoG4tCFrlnyQSDLfVj2oVkxEo+ZiipSlhGFAJ3ChkkIrom1n9mMH/3wUibf0nh8R69KLT/yGXBUtOXVf5kll8CFUC/L1+PI8vc4aNHthVQZ4OtV42VKrwyWZVl3mdLuXDAqg0CZQozjXCq5vN02G/n1ZT/rzZn7QUo1Qqs8EF1MSZaVfvTaas+l1nu0kYdreZVk7z73jmy/MsiXNfQuNh7t/Xm1Y28+YW8eI6FtZls+137n/z+vDlys8CM/Mvt19p7sHMrmIb+s3nnpnbvH+6F4aSyNn2UF3w+r1PtxRx7u/bRnCT4Wc/b286DQO98qv//s8n5YQHveIN9rf/tl4KPMir4yTs01MVAq4ejsDFq0xZX5IK+g3fEkH2r5QBktP8WmFWtw38HdCLQEdmpCteJuSL+0ddIiVsJfveWvsGFkJZ79a88hbRD1SeJGuHDZOA6cnkRfXx/GRlZh26Z1eOiuuzHpt9Cca+O6a1di74N1VMslzM7Noc1AfdXC6OAgDpw4IdlEfGBdWRzCgbMTUKwYaqTBtG3sXL8GZ080gGEVcxOzsBwFgRlixchKrKoO4P5dBxDGAV71opfi2MRxhPCxMDePK3ZcgQf2HMRb/sdf4Hd+75U4XpuWXLY3vPRV+IfPfAy2Y6ASlGCP9GPLsuX4wq3fwkBfGQ5VVP0pzFYBK8Zt3HrgMJ51xdXYdWgfXDeBowIzrYY0QFadIaixgj9942vxlS9/C9+98zZUh0agtlyc9Zto+h5+4QXPwmdu/iqqfVXU67SDdQsYBsojUFptREMqtLAERw+ghG1oOm1TfTgwewplzcLKgQHYjo6nXvsUXHf5Wtz8nVvx2c/cg7e+6Y1Ys+MSNM8+iA98+l+w/8AxgQPtSEFZV7DnxLSAlIpTQlAkntLgNSNcf/FleNXPb8Wf/PWX4ZRMnJychlFwUFFL2L59ORbmgCdePY7Pf+5ebNy+HDP1FAdP7sEWZwwPzJ7Cs55whVj4vn7XA1J48WvPeDlu+JVX4X/9yW9j3eg4YlPBgwcnsGfqABzmDuoqbth0Bb538H4sry7DMbOGgCo/PjRHMVq+j5Kqo5Mw3N7CxuExLMRzmK2zEIO1Aile+ISn4qbvfVcsfT6hLmKUijqMtIBlw8PQixUcPr4PN/7rl/GclzwTfhxiaGQMzfZZvPXnX4T3PDCDoLYgtlItVLoZe5LNFwkApeqN60pZ6KCwgZVXDwsVJNgOUciGSk2gH614VPjRTklFDQP0W0EKXUkRwoARed2mVlrn0khgTJJQ4cUHfgIvNo4y+9JG7HZgpAoCAi6qkKi2YWYfCzUiHykLAgiSdNrtImkZ5fkjD9YM1tcIGhRRycWtAArbUAlTFOaGEWBqUgTA3C8CvlDTYCWeQEgWUhD0USnL1gLJIeRDv2ZCCajCpDXPeqRQQoNhpNBYfuB1AamSBmITjJkxRus3Ww/oakY3/yuIdTgW0Gy7UAkZCRVooWShBm3NVKSJlZXWW13uMVRQcp4FgBJz+gF0x5TSBbIcafH1mYmnw9Ro37SlKZQWTh4/hc2lnCOxuJqIFILNru03pWU6TJCoSbcFmTZfwlWVULCbh8hWVYJA2q2pf9WZg0glZ8Rj11U1hTEVkz5MNURA1VrsIrKK0HwfAXV2tCn7VDQqouTieRQRAhJqwYCt+HBZCMKSFYTSfGzzmGtsgWaphIqCo8DrdFvIRRXI/aYlVCy1BMwqDFvrWlFFOagiNh2obDimyjBsyTyklB66gSjxBD7qjhiu1dhFGOhQDFqLITiZoNtvuigw5iBOYBiK3JOjlEo7BVqsSWGHnTBj04bn+WJTZyai4xTF2srVEWJ6QQKddJGZjizRIf2zCoiZtUggJNZ4wHRsUajJdiQpyraFhh937fIEuGzoTZjjaUCjkpPtvUGMmMpEtuC6bDY2BFqrsYfYKMGM24jhdHPvwrZYflO2N4PgLEXCY8/Sp2IBcRLA8xVpbycSK1mmNDUrhNr1FhLxjrPJOoSWmpJRKFZ8UR9qKJgE/yFCTxP4aXGbFJbMmIj5vtQFgzMLSohGwN9xFpSoLirMmL9XWX8ilnMW73DbAIf3H91BzFZmJYJJaO6wYIXHgHvRLUdifmUYGdKKbdHuS/s57bSxL6VOPBYqPwMoqALXWfQSeQpMmxC/+0ECLc1UxlO92klL0NOmZPnZRZaudK0FbBLn/lCBnFq8JxYknxHNrlLbQIKOF8OqmPjAe957Pv75sjSWxnmx62Yjgx+ZpZV/z7fqZoNZff9v/e/kIYX/aM9KPPKgj6/Jl3NwZOUKHHlQlNl3s9EL5Rb7/2zkIVevGi8P4BaztvaODPZlZRXZ+vLblQdFeWvxYrAw+ztB6cc+8O7vg7W8VZUjA1G9GXOZCrHXypzf1t7v95Zw5L/X+578PP4wRRc8dospPPNzcK79O9d78rCt17rL8WhwtxcE9kLLPOjLg+teoMrjvWQTXBo/a9Drv8q+/7DQ8acB8i1Zin/G7LpzC20cPTaLI3MLcJMYDd9HPQqwYfkAVlTHyedg2LqUatSCBO04xGRjBnZ/EVXfhhfzAV5BqxGJcodQIpit41Of/hxOnt7fDUenwMFXkXjA8tVUTdh85sO+XQ/hXz7wSTy49wSStg+zBEydSaDHMc7On0VAKKApGB500NenoY/KkzYfdl0cbU5DMynioS3NgBd3cPtDe6BWUmh1H82ogyoGsGl4DY4fO4F9EycZrYVazcW/3vQZHDp9Qgo6Du+fxCdv+ndcvmkjPvORv0NttomSUhDI9xcffD+uueZKjDorEZZ0GF4LNz/wTWwZX4Za4KIYaojnFZjFFLfuO4IhpYTbH3oAC50AG7ZtwQyzCseqWD08jGKS4lTtJJavvxpjI4N4y+/9mjQZ180YnU4I09Fx230HoKdlzM20EYQRlleqWFUdw/TZCYyMV6CEHprxDObiJiZVH8cXajhSP4NiYKHTCaD36zC0YfyfD/wzXvI7f4zZWhvXP+0GfPILH5NjXR7dgfv3HMT73v4ueAiQhB5Glg2KdMko62JrtRJ67VLYZRVbx5ejGV6MWbWO8eUXYnioiNB30QhruO+B/QDmcWbCR9+yCh7eewZPv+QyDKOKw/WzeOXll+Gbdz6A+w8ewobxZWjHvgC+3339b2DThm0wVR2fvvnbONk5haKhYf3oKJ570dWYaM1g46r1ovBxTzSxY8NmPPfZT0RaUTFSGoDST5ssba0x9s5P4IotFyNo+AibMcL5AJ+66WtdmGSnWD7Wh8JQEVdfcRlmvQVM1es4cvBhXLxzJZ7/yz+HDWtWYNX4KPxwDlZcxN45DctXDcBk4D6hBQGZQfCjIww0OWdp12SDJpUrEYmbQuwRidKMWWoEQBEbYak+4xOyQjAYwUhSIhaYfFjWijBIVmivjRSx+1FhpFtOVwHEGLwkgWmrMAlOaKcj3KNV29TEKumYVBSywTIU1QzhGYEhbwy009LaqUteW3c5hB6EWJIXWHa620/FFysd+GBOPkS7n0FQH8FKIrE9smyCLcGSr0X1G5PukkdUcwQ3NDcmpkBi9mCw5Tb2QsQEILT0EsSx8ESKCJgxZ0u2XWyx+ZrHkRwwhuv6UM2ygFBadGlR7ubUGaKSUlTCChWqwDjaeNnIS9WigoQKMpuFFszJIxRM5AMFgicKmFQqozRF1JmJG4iyUgo21EjgHIV+/JnKFtM4EAUWIaNtKEh5TdBWTORFMMJ8QGkkZnYcVU7dshZdIXxkoyo/7KBSUxHoyQKV0DQExtH6SfBEhaaRBLKvLBvJjl1E2ZWAVkJEtpGb0vCaJMzp43yGku3G6Dk1Uem6lhgDtqkm9BQT4lDtK6o9AxZVa9wHhc22KXwvFWUdWKSiU63X6Sq9TB1KbEKj3TUMEbGIKaAllNDREkBDUO0mLBBhC3GMSsWEG4SoVGh11RGmAcKQ5x8bXlic0S1kiSMNlqIiCAxRQnM/NDbLsp2dakyHrdWExRF0ljQQKisGzZ9i/1XLNlLDkfWqpiNAPIwU1NrMCqQykTmZjOJje7TazYPkOUyIyzw9ZjzyvGSBhhSSRPATS+YminVEEYtTOnItBU0XCJSuNTzwpD06JpyOA8lUtNhGq+ty3DpKKBZe5tWlBi36jhSv6LotzdPMhg07VHqy8ZzlOCnU1ETCjNNYfcTmryH2eP7TjquwRlkAomPH8PwmVCoZWaSiJjBTF4ESwDKptyW4thBaBQRssaad3lLQ0Sz5HcvrgPcoXzMRF8tIYlqtXVGk6ylbi1WoRiTnJeE77y+RZaATJgg8HhMbSsVEKMUwGgyb/wqIkBYdJGwXVltQfX7oEEKhoj42EVA9y6PjdBu2dcYh0LYfuPBhI0wKcv7wXA06Etq5NJbG4zoIPwifMrtlBlYIPqi+IgxZDPBxLP/Nu78P0/KA79HWlYEovo8218zKmlkus5EBmLx1N1tGZo3NtjP/nsxizNdk9s2sZCIDaPn9zEbevpptIy2hWbFHfh15e+qjAb5e2MQ5kgKMN7zx/6/qW2Q/OA/8Q+DJP72Ai/uSrZ/zk7efZhZgbnvvyAAfYVbvyNZPINurIqRCMiu64OBx4zp6bcn5/c7bjs+lSsx+zpEVdmR/58jvd7aMrMglez8H4TDPUR5bnkv8mpWk8PV5hSO3PTtOmc37++dUDxRdGkvjxxk/y4BvMYvsY73vGbD7YWyej7eC7z/zYQCB4E9qvH2RuftRbbM/DaVE5w3y1WY78L0AM50OwjTF6ca8WEQPzzeRpk04ZkkyrZqTHbQbLVwyOoRrt6yG09QxMjaMv/nt38XcwSZW9VcRMZ8oCJFWFDyw69t449vfIu29oRcjbPhi07n14UNwAw87N6ySQoMrL1sNY9BGWASeeOE2VMsVrN28Cr/586/AyhV9GCsvA1xg8lSAmteR8geVsh/mQfHBj5AkDaBEKhxdx8xcA7OdphQouEobh4+cQbnQjzNnZjAwauAJl25D1RjAqmWj6LfKWL5+OZ62YwvmZhvwfRfrt61HrdNE0VDwnKufgsO7Dog9ef2yQTx06jSG+qt43fO3QjFinDLnMRs2cWhyQhRh/WvYrqh1FWYnTuDy7Ztw/NQsNmxci8O107h400a86BXPRbPt4cTkHIpDBbTiFOPDyxCFCS7ftgJx1MLV2y/F+rE1mKrNIUoCmAUTR85MYsualQjdCAVTR7ldwYUbB+EGHTzzqU/ExtWj+Iu3vBd/8Dsvwi+/8DnYuH4Nbrr9Xly9ZQDFwir88mufK5l7VJD82lvfAEdl/hPVWVW88w//QCAAAVWzztZLDzQlfuj2m/DlGz+AD73xT3Df/m9h5egAtm3djKGyA91OceeDR/Clb30TpmPibGMKH/rcZzA8OoLxq6/C7afPwLIS2GJDNPCKpz0VN37mI2jVO7jkaRvxT9+4CVu2jEtLbaFcEPB07PBRPOGSnTg6dRSNoI7CqiL2zhzD57/+bfSpFhY6dTSnOtBtHSNrhpG6EZYNDmHl2mWImGk26KA4XIavxljTt0pKT8yigfv2HsbW0VVotGbRUQI8/OAZpIGCybPzAnOa9RCUXd537/dQqhowBvv4HC0Qhxoq09FgsQHV0R7J0SNYohku7qpXaU2lbc1SKXqRnDoCDk3TpTCB8CHQdJZrdq2kiSdWVypyIs0WKAG3C+iovTFMW/LkKFkj4CJEpNyG5wjBHIFaxw8EJlGZJ+2lIS2rOkIG4DNEn3Y9xu5RScgcwSAQ1RNBEos3+HPSXVHiRZ7klxE8JI+o3fhe2voKRRuuF0OnT57viSM4LLhQLbHWgvlxJptLaVmOoSSagCtam2nfY6kGQ+1UKk8JKNQYhZIJ3W+gVCiSvnRViZoKNWhIUQibQhn0r6qEp90WVV0jpKG9t2tPThNq4dg2K6ZEqLGN1CWkSRF32IbctQJTCchMzTSkeikSdRiPOYsRwHw7ahKpDgx9BNJQqgnoVJmPxzzDSkVAjhxjcplUl5xKFl0I5E0DaeCNQsITNiIz6jCFIQCIFm7m+llwQ7aY6kjY0GsTrjAfrts6G9M+SyWUzgw+U9rE2QIbKczeTFFQUynQ0OyiwNNEcwQARSx6IHTkxxw8L2lqJ9BKEsn+k+UTOEUpooImoDeWIhdVIF6aRLDLurSdalaKiGUVhiPAzIqbGC5Tycp5cnHJthXkz5I5GXmJlOsYhopmkx/EPGJr5rYpMRKXlnU+pfJ8TJHaKvpt5gMmcHTGLtD+TZUYIVCMgFZn5iASRpnMXw2g2AUB/WqsQ6c9nOSKy+a5xONtl+AFAQzDl/y4gGUPbAROPIFPuhysAFbVxtT8tMyNIseNEA0Im3UkegpLj7Bi3SoYm3fC6Csi0QnFy91rQNFBvkUFnOOUpCgkVSIkKi2xGl393bxNOJJNZ2rdBmxd82EqEX9Fye9Wz+O5YyDRdViKjlKJ7/ElgoGa3rDVVaOz1CSMbShBCFuN5bqNqB7lVDL70HEEmsZUHuoJ1KAt9ycPhkBUW1OgObQDh0j5wUCoQGlTrcg2nAqMsKvKlLmOUpQ4pwGXr8EIA7HmElLGbggjqckHCbw2DNRh8iJsdLoRAQEVhApS04HPuTBCFFVmdbJJuyE2aLXchebtOmDTrhzPyfFw2wShbOBZGkvj8R2LNZP2jgzg8SvtvXmLb96amx+06fL1mSqst7k1Ay98AMnslnmlV9YMm4HGvF04D3oWawbO4E9+Own6+HOurxfcyXblAM+jWXR7gVU+Uy4beViVgc1e+28G67JsujzQynLo8iCyN68u24dMJZltKwFe/v15eJkNqhPzy8qvPwNe3M9s/Sy5yLY/A2NZ820+Ty+/vGwQwOXbdjNL16MpKhcDn9nIzqdMCZopHXm+ZXCUfzLwyfnhPC+mSuxVgvaC36WxNB6P8Vhkzf0oy3y8GnZ/kO2TgO98Wo0f63y/86kOfvsPAHaLzd0Pms/eZWb//9MAqc8b5GMTpGYY+MpHvoImWzcTBTP1DkplDfOei6bmYvOqQbHJrukfwAl/CDff+TBcNcDJqbP4X3//fnn/ZdsuQ/twi7Hi0Blq30nhz3cf0Fk4UB6iDY/eoxSFIQt3HDuIleOD2H10AkU7hTfv4rZde3H3w/tw566H8eVvfROhWsXqlaM4XpvF2/7wF6GUqeZQ4ddcrO0rYnx8FFqR9ic2RXaLMPqHdJRLVawcHsZCuylB626zgaJjoDUfYPeJI9i0fRUOnTyOG++6DRXdwa6jk/DjSdx8x91otancMeDoBfziCy/BkalZeFELe44cEatXvebid//h6zA6GhTXQMXWsXXtSlyxei3c+SaqxSL2nDyBA2dOw0w0XLlpK2769m0YLfTh9JlpRAWfbAFPvPhSvOCqa/C5D3wG116yBUNOHxqTbDGu4sDhhxGkbTz72U9HO+igOlTARas34PbdBxD4EUY9C0++ahuevPHpWG0PIgyb2L5hKz78vr/FJz7+ZdRbHYwX+3DN2h24fff9KNgd2CUbr/+DV+OaC7Z0GxHLJYShijMzR/HBz3wMqjR9shgCUPt0FCkTCiNs33wVOqmB337+i7HvyBT6CzFqTR+zdRd9AyVcsGE97njgIawZHoUPFw2/hrm79qBRq2PODXC2s4DLL7gM37lnD75523fx1OsuxO+/6R143fNehrLVD70eo8mmzjDFocYUPvKNGxF7CorlEsx6jFc+4fnS4nnBmgth2b5kzpUcA6cPTOAZV1yJf/jUZ/Hsy58Am/lS7QC+10bc8DEXTmLF5hF4s22MVgYwPd9Ev1NEH8PqqTKKA7GuFVQL68dWYvvGFZiqz+HYl78Do8hSDuaW0WDXVbokMfPxyDgI3RIUbBOxZkFnuD0z5AhoxOCoIKQVkkCMgfoKwRerFlicwEd6qsS6dlYCJ5Z7sCUjNTX4KVP32IzaVXuFzKDjFcX/9wKkuiKh/rQJUj4mbdIh4YIJo2hBZ8GGbQno4bVG4EhZj0frKS2nvP6kpIF2VCbBpYgVFn8IO0cQp4hYlkG7HZV9Vgley5NML2bwQaX9NBG4YVrMDWTOXFfhmKQ6Ck5ZoBb1DUEYC/zV464lN6YFNaAKjOqrCDGz2zzm0oVQqV7TWc2hS5GDQeUY23FV1hqLEVCOV8xMMwIqmRfCB0XaeFkkkKQuYqtbosAWXcnRIxBl26huEKmIm5VHj+/v/qxb8pF22tDNshRO0B7LxtkgJCyJpYHUJ1iinTShDZbqzAgaoRvPE9US1WeimwJ0CE5Z3kJVI6MYVTZDRx2knW5DOIsmNJp1SY8IGg02yYZiR7fjsNuMy7xCNoSH86L29WNTrMtqqsjytNiFHjalwTbxIrHGejzolOVpKlyfNnAdMQ+UZNkpUFwKEakiY4ZkF6zGqo044nEMAU+RPFFi7ZCncWEY9bYHJW5LluCufRPSJsvgPrtkygc6IYs/WNwQK3ADEybzBwMf0BzoBqsWFIHnRpwi0DU4JhV/JjyX1lodnWZb7OtOidbRQFTZfhzDZTlGWIelsTSE0JZBrI5kNLIYhAA5CFpy/ifWYDdMMmUzdAiDBE9J4bGQJUgQ1lwsG18Onu5SY6EkiFza/an205GYRUyemoZ68CDgN+FILiuvqW67tE+7tMEMxhhJx3+k5ZZFOp6Ab7mWeB1TxVcgqAsEqnnMXKwQ6BP8W0hUFsWIp1VUbaFmwvWonPOgmgmdunJ8eIdgniB/xetmtx040hw5d1ikrRgpbBLhREOz020XZnFHgXJ5lmWoJipxR+y4MTqSXSpvjD1p7zWKVGdSWagioJqS+5v4UCt9UvjicjspMI5YxMEs2BCtVkEalQV0twPJh5RyIiOC1UoQKjpiqifZ4p2ybKafReCImdGnt0W5Z1gFUW/zAxpROC+NpfE4DwIRPiwR1vUqxnoVb1kWG79HgMc/b/3rO75fekCgkx/Z/1Ntlgc2GVDJyhwyNVWmQhOFV08rLIFdHi5x5As3smVkJR+9pQ7Z9ufLIc6VRZe9loBssddk5SEZDMsDpN5CjWw7MqhGQCmKune9E9uG7vq+7TW/DL4+KyHJ9i1bDteZvSdfsPH9ucrNm2xLr2W35/XZ8cyPDKIKoHzE4psHlNm+5/evF0pmI2u8lW372ifkAfJcgC9T9vUWrGRf88eairzeuc1GptbMXs/5Wmyd+eVl+7VUwrE0Hu/xWKjUftAy85Ar+3v2Hn49n9t0Pq6xH2V7Hg9l2vm+n7ztMcgN7V3mudbxeNwbzxvk4z+3V6zqUsuv/NsHkdgKdJPqOAox6L1lwUKA33rFM7Cy4ODJ621sGRtFu+ahNtnB2VN1CaR//q++EQW7gqde8VTJ0PKrCarLLVgFA5WCgYjto6aK7WNjGLEchBQFGTGMAhtcgYJdwshgBUMjQ6hWHXhRAK9WR5KWcNUFm/GOf/iAKL4YPq9aBg5P1xC0O4iDBBXdhAEd5bgEt8WMpxRn5uaxc+sWjC8bQLFYwpUXbMfTrtqBJFBw+/d24cixKSwrlvG9/bvx4JnD2H+mjU2rVgjo3LRiFa7Zsg7/8m/fFRua6hSwYe1qsQWOLhsRexsf8hMvxFzLxej4EBJTw5Y1F2FqzpWHwxc+9xoMr1+DSl+/7HdbCbGyOoi+tF/aSFmwMbx8Cz7+z3+HV/3mW8V6PH+qhrl6C5vGdyLqqLj9nl1odFz0G/24bKWGDeVx2KmBeTPBffun8I9f+yTOtBbw5dtvxz9/+Yv46gO34tsPPojv3nYf7j98FP9+z3345EO34879d+OpV12HX3n1dTi0q4nXvuRX8Dd/8c94yTN+AaZfhm3peN2zXoC0yQe+GO50gIXTbdRnXNy95w5Efg1Pff7r8KxnPgUH9s+iUWuiv2rjSVdeiSMnpnHR5pWw+CwZRDhycgLT9Uk0oxTDhoWdo6tgL7MQFzy84gXPw3Ofdj1+4brrRfnDshPml13ZvxbTfh2GZaA55+IT//pFPPPqJ6PolFByEqzoW4ndDz0MTamIdbTVYRungm/ddw/6qjZmZnyxdkdMeWMeWVnFxOEFNFttVMsFHDhwRHLjPDWEGyfSiKmA9vN5zCzUcWjyFGZn6+g0A7hGGxuLgDngQOF5ZdJW21V3Uf1m0m6XqgiiCKbStZSyEIXHnJlckvdGgEfLJ68fshM2v8aaWDvVmNl+bNtkKH8M1VC6TatxAJ0NvGkqpR6ifjMJxmJ54DbY1EvVquQRaqIeY/EMrYEhlXzM3eNyo45k9bFNljZZqnasggOdkIL244R5gbTrsfVVk+yxOCIs02E6BnTaWqlIo4Ar9MWqx+ZfUTamHtRCEXaBcFIR4MYcrjgKodPymXTEEk/gR5VS6PnyoB/TtmqVIKbfKESHsIIlGDo7TggrWSoTwaYqUOU2RQLvwsDtZpYlLKpIoFrMFuvmzXH+AlpSCbMSgknmVxJOxtKtQCiYEnQEwlpRJrXhPD3SAqra0pHLmgSkJhVVsTSSEmiSQQj0ViFKNJMWbc6dlJHQXssyjRRBu1uo0W2kjmBKZl/3uDK2QLHYyEr4wUZbA8XCIMI4knw0LVEQByxd0GAZalcJmRhiH/Zd2oljdIICUp9W4wBBEAqgC2nJVDV4PiGxJW23zGq0NSGDUmDCEhGV5SzMaURI8aSUqxg6yx4UmT+LjcyEjDxGhDQaYXQMP3JhGBHMuIEoLcDkJBSLEhWg6z4Qeeg02t3mYWYK8vzVIbbUMPSRejHMAo9PJLmLOtuWtYLkQfqcO5LWdA6B10HZdmBIMiNZLtGnBUXXUDIi6GZBcgxTtgPrRSipJ3Zkv63Bp2KPRTHMiSQ8p6rbT2CWHKShgiCyYOrcaUKnVI4RYyCNuCVqOpRMuFEIVQkQ+Cn0yEeTyj/dRGjY0hwe0bIfhdJMDa+DMKDqsdjdNp2KN9q8VbTaKioEZ3GKuDknqkqrlAqs1iJaqmN4HhWnPE9qojwlODUiJp+60ihNIM0kzlC3YbMEhuUbPNZsINaKiFxXrmO+l5MVJb6A+FKRx4ZqUCpbzS7gdl00rKqAUsZYaGwYVlL4vPcoKnQ5X00UTG5RDFPnvcSA16p3Czw6MWI3gek4UMTSTMuuD8/lhw0GIrGnK0isItqkjAUVhTSEofL6o3LWgaG7AsmTThtGodQtDAlieLyw4nZXAbw0lsZPwcge6mh57LXHchCiELLRnpm172YNuf/7j6/+D8vJlH0EJwQ8/Eo1VQb68kAm37qbjQzk9a4/G+dqgc2+n89byzezZsvIN/xmYCoP8viA8/2st0cAGUHYYtvSC/cWK5PI9ikDYPkCisUKOLLl8oEqsxj3ri97HRV5GRjLW1+zkf9eXtGX2XXzbcpUTma2bELU7ysvH7EX9+5vHm7m7bUZWM22Oz8vXC+X1Qvb8vCVy8iszHnAl/0s//X76+hRK2bQOT8PeQjZCxHz/7+k5lsa/x1HHprl//5YKNwer4KbcynTzjfEzI/Hs8zn6p8Cu+2PO87bv5Kr1RIuu+Ji3HnfrQCWwTFMbB5bj6Kuw5v3sL60DJNhBwttF0f9WCya37jjIRiOiuHljqhjnvOcZ+MNv/ar2Lh5Jf7gNb+PJ+y4Qj69r58NEKcx6p0A7kyApBNhZtrH2UYTlw5swHwnREktY7x/AIHqoeZ6GDUNrFy2HGea8xLIfvvuW7H78HGxRUazsdjPVDOVdtm5TgNjA30YGByEz4B4x0ej0cGZzgxMy8Du+w/g5KlJGF6Eux7eg9JABY1OC+W+gjyU8sH5wpVroYcqHjj8MCabNTQW6mgzU61/CCOrhgS+XXP51bjnwF4RFZ2dX8Blm1bKA7HrRKif6mBmdgEjo2P4zgPfRl+1DMNW8a1v7UKzNY2R/jLGl42jaqs4MT+N6fYc9u0/jBP1Bj77hX/D1znvM/uwZsUoqjvXYrTah4cn70dTraMYuFgzPIIwbOO99+3Hmbk6Ij40zoeYd0/BdEu45rLlkqM0WHbQijxMnprDifkp+NSglWK48wHe/57P4XP//jUUtNW45+yDOH1mH17/ptfiYzd/HCqLScZX4/YD90j2WFfClcLqs/DtL38Xf/LWv8Mf/v178OpffzG29vVjeGQAo8uHUNWW4e69u9EIGth7+iz2TJ3Fr7/opdg0tgHFiolhU0G5OIiF6RpOHzyGUXO9NDh/4v0fheVomKvNY3ywiMFyAUdnT8GrtcXG1zdQxN+9620YXb4Cr7nhWXjmC34VQ7aKJpqSQ8YHfQb4D1Yq8L1Qgty/cPtXceHq5TAqhL1sjeDzuiEQAVULqzb0IfbbohKijZJooVIp4aK+TaKyecqF1yGo+1Lu0pgNsOd7uzE00g+zr8iAL1EPpoQohHfMEaMPjxZPtrSyyMDgQ36CiG2dkp3GdskIvsuH71QKG1Sb+XC039IiSiCqwJQcNbpy+X7KzFKolib5YSbVbXyvRlskVXQKFMURxRAVYgzNlzZLWjsdFnfQyqggUS2ApQV8qKdKLWahRiBAj5CHMXecf9pxqSiUDlyqxqhMU1JxDrPow2d+lsbtAjou4SFrlwkaA3hBipD2XykmoXjNQOgTTJCHKl2oELG9tFtsweIUEy2m+SE2DBjM1bNUybcD18FSE5UAkirIUEpLrALntyh2XUIzwhAWRaQwUSwxQoCQJ5I8UEul3ZPQRCoHpAREwvj4QQUtrLEOLwgR0PVs2vCjCKkXyb2EYJTnVbdtlyCWmIZQVRV7NCw2+AaIfWbJEaxG0CwdmqqLwlLYYRyiwLIVqiu50oDqSEKPAtinwMILQlo/XhBAxAYXllEYeipZbD7XzaZgvl/XYRuhKA3F8mskFHrCLNhyr6X9WmzctHPGhFR6N7Ou4Mg8UpVlUmBI+65kqqlIDA16ZQAJVWaJhk6jgTBIoQSe5HGWTTmIsHn9DIyJ/bQZJTDSQIBj0KbazIBCay0VrpEK3SaENrotuzz23KaCg8S04TUIJQlFuxbVdtuXeU5iTxqHDbMI1XYkv422WOGTrIlgey8LP2j79TsCLlXmRCox2q0QsR9LvqXqs82W+6Yg6rQQNFjcEUORtleq6wj4+FETRFXJMgzWhUdqHyKeG1RVJiFU2oJ1oBVRxczcTBVa4NKED8UPmZTI2hiERgkxFYBBE612AD3uIE0NUQIXS4zSMwTO+6GByNDgNVLYUSDtvwFbttnKm6rQ0jIUswLdYhFIA3FIe7cpuX+By7rhACGGkATdDxW8Riz2frPiIFVYqGF2C0YMS5ZP0JzGbD2HQEnDJgBXUVEDuefEWvccZragY7ENlxbzCKHfhOcx47Jr/dXYruz7kinIc79U0hEHKWyr24TM3mBmGSoWkPJ3Lz888EMU+GEdMzMNB57LcyhFELagU23M61ilwlaDzuOZUlFL7FiEwpDEpbE0fgpG3tZKIJeHKnkAk1lD+eCSQTyO3sy+DLDk4UkeHPUCnLwiL7OhLqa4y96fgcHe4oTs+1lWXAab8svLvz6vAsuAWNbumx8EYfnt4fbSLpqVhWQjs7T2Wj8JM7PRqwzsVUrm8/643iyrjvuUPTBmqsfs9fkWW74mn4WXzVlWIJJXSebXze/lH3TzEO9J4cf+g/U334qch4yZxTp776IQ9BzKwrxSL3tNHt49Gnxj/mD+HOod/H7vw3ZvBmB+LpfUfEvjv9PoVfE9HsUWi8HE/Pf+K16Tj/U+3XGe7baPB7A8b+26L/2Nl+K5P/cilAtVvOCpz8Jzf+k5cIxuU+bVW9ZgZrqFB89OIHEVXLR5G/af3ounXHoJvnb/LqwcqWJqvoVrnvwCjDgufuFFzwGUFfjSzR/GBz/1BcBKETAvjw2eiSLtslasoeN68jDSmWijb7QsD7Hrl1dxeL6GC8ZWCjSZm6lhcGAQjcY83LaC5SuKONacF0CCmgpf9VEsmhi0l8NT6jgzNYs+2xJrWiPxccHqjZg4NolSXwVT7SlcOTCKtNqPhw4fhWf52DG2Dg8fP4Z228OVW7Zj74mDWD0+guMnzoiNkBDpqu078dtveBs+8v7/if0PHcelV12KE2zvNRt4eOE0RiwbYahj5dAQlFjBHUf3YMwYwLOveQKOtNvQ6i3cu2831q9bj+/efzeW942iYBrosCm2XYOd6qj0OTg0NYeiWkRihNiwegPGi8PYfXAPlo2WsNBy4foqik4DR6frGHFG4KUeVmAAx/wpeLRWNkMkDrBxeC1OhidxSf8OPDj9oGQhEi6t7uvD37374/izP3497rj/IYyODQJOimdecj1a3rTYizUf2L51DT5607cFaGmWgls+9W38y3vehVf9zhvkXHnLn/86Js62UNANHJuYgGIDgZdgx/o1+NtXvwjv+9b9WL18C/afekjsq/vuOwDmr897HWwe3wwzDfGcpz0N//TZj2Pj6jE05upYs3oz3E4bC14LkVJAGNWw6+H9MFIbz77hCtx25/3SplqpVFDtK2LNyCgOHJzF2KpBHJs8Az1O0Z6v4RUvfy0++ukP43R9FlbE/LsQpbINa9jCcNtB3Y9QHqSNLMCJuRMol6toNjpYuWo1FKWDuO3jyusvx8c/cRMqZROvfMHL8M2FBubONJDOLUBlrl4QSNtq7LW6kCeiVY1ZVAHSqIBUCUTNFSap5LHxYZfqQhYhUAlEOEklE9V4knFFxV3oQY01RJYuKhsOyVKjwkfy8RRRn9KOSKunFA2HBBgeaALm9jAAjcl0LIrgurmOR5zXogSU7C+WbKgKUj+CaivwaZNkSQgzuQjbVCoU2Tobi7qSMCmi4i1mwYCOTsN9xF1KhR4ViLTpelBMRxR/mlNAHITQuJNUeGksSAmlOdeyVFjMYFNsBC5BTLeFkyKpthvKnDGvr90OAdMWOCMwTVUla1C1CQS7UE0zbVHw0jpoWpbABNNIpSk4ULoqJf5M0wwBpcwM0/0mIlUXhZui0uoZQef2pYSvBSS+CzUlIOk2gxIeqbSEsrCD9mZRPBnw/QiJYUqZiNdpi+LRKtkI292MQ9FOWbwHUdUZIQnbgF0UC2yaerK+7h+yagsaAYs0pjJX0RdwSckki47Y3ku8QkhJ+7HCzDTHEqDGuWPbMYEmoo5YfHlcNIeWYkWAsap48AgY2fRLVSZBTczjQbjMHEJNPsDgz5N6G6llIg4ibNyyFiePn0DIwg2q2xxD9s3QRuG1TkBXY7EPs/2ZNcZUBoYpRB3ptiJYOq3XBMzd5dHeHHi+XAse7daKKue2obARlqUgGhKfalZCWx8tz0CpzKZazhFVar4oymhljWg5VkNYjiH25MTjz3glaQKUIx4p5vzpKoIOrzsVFm31ugqvRdzmIoElLbLSjNxykdJ6miQIKVWlOlWNpLUctKPTKu124a4A4jSC5ThybNjGGwQF6FYiQExlhqRehM9JhwfTLEBVE7iRDpXZfWYoQL6o6OgwKw8sWKE13UPkFyUvMtRCBM2utdXRXaSi3LQBglErkixaHuuo4cEYH0M0eQacON0xum3Phe65TFCXUiVqa0i9BJEzhDRuSDMu277B+xgLNJQYYWpIkYmiSQ82opCmeQthwvZqFtPQKkyYyO1hMUuAqFhC2PRhmlThagL0TRa8MDeT11TIz1mYrUnLMQtnWKXNDyd4v6KqUMHHP/CD89CWxtJ4LAfttoRJWeZdvkBjMXVab8HEo+XycVkET4u162ZwkOvPrJf5ZfdaMAm5suX0Flz0tulynXnFXAb9su/15uNlts88FHu0BtlsGfk5yi/3B7XN9o58UUU+uy57CMwr0BbbVtpTqV7rncN8Y202suUutq3ZtmRjse3N70++tfaHnSeCu3wm4GItwPnjcq7tPNfobSfOmonz+9473/x+9rr8uh9PFc7SWBqPx+i16p7re0ujC+n+K9wjru5pQj5f+/Voy/lhFaLnDfK95A9ejPH+VQKiJiamcXL6IC4dHcI3HjiM1NIwbvdh7dgQHj5+gpomDPYN4uzCLMr9RVx74RX49FdvwcVbV+J//Nnf46YvfwltxcaZh+/APYcfxKXrV+LOfQdgRxpazO8pGbhhw058/eGHsIyKtTuPYGCkH3/2lj/ERz71eTRn6wh1BVtH+9AMfRw8OYnx4SoKdgET03P4rVe9En/9offij37l1fjgv94oD1SBHsH1IiwbLuFXn/divPMTH4VGK10Yw1aoVGC+noqZWkPW6VgK2kEASzcxNjSM/aeOox0FuObC6zE58zD8FgPcVbz1N96EW++7BfsmDuCCsVV4xWveiC987P2opx5u/Na38EtXXYf/e+PXUB4pIK5HKFcsWHYJZcPCqTPz8LUIv/zk6/Hl274Lo2pi2+hqHJudEjBUGejDyr4i1GoJp/YdxVzLw4qBKibqbVy28yrcfNvX8KLfexO++75/QLnSj1j3MVNvw1AsKFYNM5MRnDJbil1MB00UaiqCEi2DCRQH0opp+Ck2rB7BQP84LrvsQpydOIN79zwkrb2hq6BULqLZmUEaGxgoVqA7FTw4sQ9oJwgIOhLgVdc9C1/ddxueuPNqXL59JcojA7j9/l3Ytf8IxkrLoIVt3HXshNhGbYcPsyZm6/Oi8mHu06hexrIt16I2eQ+qVhULbgPzkx287MXX4+u3fg+zaROv+vlfR6nWwcc+fxMa9hyu2XYJvr3rfrG6ETqtH9+AVqeFieYZOKaNKPaxdtkqzNXqcBUXjZaHtYNj2LR8LaJmiIdm92O21WRaHH1t8qBcNG1cceEO3HroAeiuio7PnL5B1kzgGa/+Hdz36Q/jRa/9FXzso+9FveFJY63t03KuorLtWnQmFpD6vtjZqDKiPZXh/iltpCx3IK0iYIjYyNkV2RKMiJWT4fkEKVK0S3srhW9sv6WyJ4bv+nCKtpRo0GJLjS5tvik9rWxf1SwEKS13saivCGBNKr6onoso6aNts5s1RxMyFUMEN4quQouoXqMFlcomquTSbiGGwkB9Rst5kgkYUrFDex0bealesmwkvidwPmbeX8qCkVQseVTZMSNR7PxJKICK1l3uGx/tCRdjtqPSDtzxpbyEbbs8FkalAq/tipWU+Ir2w5DlISzdUBJpU/UoJiWkCEl0WA7BUg+aajUBRYR0VAerZglJ4Epmm0oV4CO5g6BlN2FmoCH7w5y6xHQAsUIrjASVuWIGGil1qipi8WZjL4somMfphv73lY38VCFhwYNTEBUjra+R5JilUKjwpCiJILRIyNlGoWCg46lwCECYduDq0A3mFEZdyBJTlcmF0BpLUElIq0DXIyQRg9mY4cdyEBUwmcNG6+QAknAeqVqQzDsqAEVjRhtxqsn+E+JKXimhLuEYFXAqlXMJ9KIp9tZE1eUeodISytdz3rikMII9WIHb8pDEnA8XmlKCabmImSnHQgmqKdMOXE+BU2T2Xgy1UIDuqCS1kiEZeAGcvjJUty7FLPAjxIkHqzIAr9GCaRpwqejym1JoQgVfJGUmLFjh9rAxuoPULEpGH5WWUmqSUMWpQk3cLqgmyLO4r8yWjEQBSTFiQnUfrd8E7V4A2zZFHep2PBQtFYzVpFqP88R5IyAm37ZMbgQQKjZ0tlVTzWeUpOxGZdmTZUnhkVFyBLJSfWiptJ3zPEhEvcc5N9RQWpUNhXZ3H1HqUDQo1zmvGYp1VVptIypXHWlLNllWQTBP+2/oAbqFFFT+eXADBybach+0ef6xhMRsIw6oQLQQtgOgXAE8D3qB88rcR0grrsHyFSJjLp+lPCVan/lBARXC7K2K4HViQGdWJV8bS0ahzhPF1JG2XZglA5GvIeSHBrxxWU7Xbsz7kWlD54dVnQAmQadmCTxU2HqtaChbJpptFwXTR6pVu+dZHAv4NXTggx/+p/Pxz5elsTR+5EEQR6VZHpLlIU72/3mol4dH/Ef8Yv9gP/PeKwSq5WFTtqwM2FEFl8GpxcZiYCz/vTxoyrYnDwMXy43j6G3F7QWY54JP2cisp1SQ5defzWPvevOg7YeBVou9JrMM9y6/N8MuD/96Ad9i+94LKXsLQDKFnvx8kfnohYk/CBL2wsss+/AXfvX3pTyjd5/4/9x3guD8OZRf92KlGr1jseX2nl8ZLM7PX2/O5NJYGv8Vx+MF8noLNM5nocZ/Fm6dr8E23fNZtvGT3L/zBfh+0Bz8sJDvvNl13SkfdqrizrvvwkN7HkTtdAO33H8EP/fE5+HK0eVoGC5Onqnh8q07xSanOhLOhdpCHbfvuVsKOg4eP4GX/cJz8bWvfxH3f+2TKKsRwqaL23cfQlkpoBUGiNnC6Gv4+uHdSOpswwVWb1yPq6+7Cn/1nv+Liy7bgNJ4AX2OhWm3jrrbhNvoYKA6iu0XbpSMqg9/+lO4eOUmfOf+ezCrLyCshChFGhxLRdkZwo277kSBqqNOjLJVwujqCjYtXw1dtbF51bg0Cs7UPHn4qDc6MMo2UvoTUwW37f4ONi1fAd0K0QpaOHz0DnqT8LJnvhZHjs+gPXUS7STGHfc9gOuuvAyzgY6LN2/AF//py3j29ddIbpsRJaIkMx0d66ujODg9LeHqWzetxoPHj2L7qpXY+qLnYHygH4fP1DB1YgaeU4KqD6BZ72CyVhOF145VW/Dv73sH/ETH0blTODM9jbNnZtAOapidomWNYfdNTDea8JoJin1VDNKCrFrYsXoDrtq6Bj+37SI8fHoKbqOO9336k/AaEY6dnkV9KsSygSLcpivdpO0gRqPsYcfW9UAnxVOuvRyXXbgBaZrgq3vuxfDAIM6cmcY7P/Vx/Nvnv4LWbIzdtx3Evft24c6JE2i4LRipjmbLQ6lcRmIA20bXY/v4auy8eg12774Jrqtiw/gAnnbZRfjdVz8T8wtzCAmXtBgf++AHcbJ5BGPFPlGF3PnQblHxjI4OiLWs39JwYvIU/HaIRr2DjpfiwNkTcBwNl63djGu3boShKGh7bTRiqmtiGCytaAWojNhdxVepgDv2PQBHsdHRfKweXyNQQdct3PvFz2A+DnHTxz6NwUI/wkaAtp+gZqYYrpSwbsCE2WfJQ3SqM8iNsElDahQAk/mVmmRdsTVVF1UdFSuKWON4vqUEKlR4saCCqjBmPArwo2IshlV0uvlukQ+TsItqPyq66Jo2mDcXQnukYRamJXCaIIHuPhp/CbYEwkWaWP9oQ6QaTeoqRJXXzeAjDDSYjUWVmuEhDUIkiQqlPIzUT0QRaZmEJHxYp+WRvZ0KzKAjWXR8yKemDSEVhqweobqOyjeqmGhppoKMdyZTCkPCtgfdoA1WE0ii0E7qtqBZTM9M4Eded7ukZITMK4YrTbDMhgtg0J5MlaPG8g3mhrHNt7teKhWT0BWll9hzqbijJVXnz2hLZri/JzCCdk+VrQsUQ3JRJBzMNwy4TlZDUK3Hggr6l00EaQqrWBAgEVIF5TPXsFvuQ+UeOyl0k/CExlyqFhWolgrPZTSBwn4DgT3MOWT2nWZ0LbGGrIcNsxF0Sp0sgqouhLZYSEGFnR3SaQ3N1gSWEhLbBDBJQ+5FPH8QmwgTVayrzAnUmI/InD1dkTw2qkZT2wJiVyIOjJIN1axIQYuiJ9CrBIk8zGxXYElEItEFrdkF2UeeMyw+UdBC1KLNW4VHomvbojCzLdbNahJdIFZlPxRlZKpqsAsO4rYLP7G7mYi0i+slxFRwsdlXM2GrVKRVkPpUhnnQHYIyciXOMZVhZKYs12DjtAd2mVi8UyXtbiMyaKs2RWFXsExp1OV5L+pBUX8m0Fj2UmC+ZAhLC1Gu6lL8QckhO5lp/6ZF3dQSaGYsQL6TrccyoJhFaWVWgo6APxrACaYIGpkXyaw+L2L2oSoqVZ1SxlSB67McpAU/DEWR2Gp0JHuS4FwrcXsSJKrTLSBRFLmP+4S5ttYFZLol14uc5QZLgWYEeDtlXVSLhu0DHeYLWqzlgFkswk4CyQFkO3ds8r4EpGEghS4JCOMV6EUditcUtSCvPt7DCFf5YQzjBnjuSH4nsw6ZJWjxHOJxJ8QtUNSIWFMQdkL5wITXC88cwnDeW+NUh024zgvDD6SFOfCbsJIYIVs8qLZNa9IUbBVCpNIcsjSWxuM/8oq1zAqatzNy5BtpM9hCKEIFFEFh1qabte/mm1ez5XJw2a80PvX9h5B8Vlo++47fW6z5Nw/q8hArU/QR8OUhTbb8PBjMW32zrMC8rVf+nAPwZeviz/M2T448KM2+x33oVR7mR36fZRt6yjSy7SHk6gVQ+WzBPADj31me0dtovFhJBb+XbUO2rPwcy/y9653ft/ty5C3BvTl52b7n5/vRLGqZfZjnDNWT+X3KBvc9W0f+2OXnPhu9wDP7mt/WbO6y9y4GULP3/qSbRf87jv8K2WE/6yOfS/eTPB7ZOjOb8GMJ+HrvPY9Ve+xPAvD9Kr7wA1/zo+zff7aJ97Geg/MG+ajQODhxDG7QFPtNZcxBZaSAwwd3YWYBqAYl1DtN3LnrQRzedxprB4blIZ7Ay6olaCYuOn6MVaOjMIwUM34DN++6F1ZJx0ifhQs3jUve0qWbt+BJW7YAbUUsVSemJmEVfQwP9uGdf/1/0GoQfrRwwdblmHFrMJQSLtm5AkdmDuDOh/Zg2TJLIE6r3YRVtlBwDHTazJgChgYHoAQ1HNy3X5QFMbPGWi4OnZhB3ZtDmvhoNxPMLdRgDKoYKQ3hyp07MTU7i2u3XIGtq9fjCdsuQF9lSABPW3Hx5VvuRrPdwh++4804OHEWr3zdH+LY3rM4MzeNu+5+AJ/69r9jyLTwV3/2FkxMnMX46CA6kY8nXb0Dnu/i8NkTqBRMrOgrYGGuDZs2r9ES7vrXL0Br+1io+bj/8DEM0WgZzuHB+RlsHBnGd/d+B2ZfAadnO/jLt/yhPOSyXMQ0bAwWBuQhPooStOshjIKFwUoJ814dCx0ftmPivoP7cefuo/jKiYdgJgYu2LIelUIJF161E9WxIiLLw4EzZ9EwmvBIZUxg5kANn/jsjYjTBN+46148dOCo5LzV4zpChqprKv76N9+AM80F3HvP/RheWRXl0Jjdjyes2IxiVcOwZuGsO4HhqoV6UIOnOfjurQcwmJYx2TqLux48jq/ffjee8sLfwkNHj2LD6tUwQh3/9+1vRhpaaJvdYoFYTzA2sAzrlg3ija96NTauX4GrRvoxMFIVaMbn2bJeQaej4MzcAvYfm8Zcq47b9jyIvmoFG5evwNXbLsczL9qBsE4IA6wbH8CQaWNtuYotoysw154UMLF8bAhHTh/CbH0abtrBnuOn4CsphpcNY/XoIA4fO4uDX7kJWzeOwxyoSiaVqhjywEtlGss7qDQjpKJNMwo8flsKICKaaU2CGEI85tUFAuSo2qH1T6yFzK2iOszWpYHW5ZstAgwPKh+0025fb8KHfx6oiCUFimRlaZYlUMTQaSslEfTgeQRNXWurtJzSdph43cbfWO3mBaoqTNXsvpfKr3ZNiilSJem2pfJ/aM9TLWnE1UQFxsw4VWy8qkplYrdll2CMGXa0MSexBrPsCERRdRaJxAhIrNQUZkzrnyoFI0bChmQLJVb/pszYVMUCKlmATB0zNJi2JUpBs1gAa1Fp+1NIP4kzCBi8RPL4IFCVTZ+hqOmYl0ipnsp8wpCAsdukS0tyt4YggWJ222BTwg3aiiMXGhtvBbC2BBTSfivKNd4gdVqsVXheF9ZIDiIlemwXDWNoSoSYtlWeG6kutmlahlVN6eb4MZeu7SFJ2og1XfbTC2llVQWMGhZtjbQLW2i4NkwWucSQY8o5pbIRbCOm/TsNZf5pt5UsR8I2nxZrX0oUaHnmMVL8tijeaAtHxEy0ZrdZOVER1fyuhtKL5bxSYcOlgk7vqgqLZgJFswSOmpWiABoeH3htzMzVkVD9KZGHOqIgQOomKDNzjnZwKi6ZCai4UPQiNBZ/0HIdtCQzssT2WT2FZaXoW7FacgxbrW4MqGmmqDo6TFOXFl/aRePSgIDsTkzAq8lc81MEll5Qx07bp+nQYqqJFZbnl01oqJoUqMFn2zaVoiE7aGkJNqDbBFeawDdeD1rCwg8VJVuBZxURU/1LxaNuI9UdOHaKRLe7yjl0C5eYSScqtgYVqlSmxVDY1BuxdXkAhkOA58EyUqg8JmYCr1GXYxRGHhpxCiOiSjIR4MgyGkUpiIrStGNR7WqJC9WqwrANaFRmagnCjoeUlm29LISVisbY4HlEaMY7igUt0WGruig4DapvtbRbysOKEy9Bh6mRkY+wUEGcmLCpQub5rxfEYs7zMwpV2JqOst0t+Yg9Nl2bGCzG8BVm+ZlIqB5MgaJGmAt02M9NQlssQNNipIUqEj0Va3sUhmj6DvSAEJmt1+zyXhpL4/EdGdRbrAWXg+q0LNsua3zNyjnycJDAhK/N8tmyAo3e3LP8ejMoln0/W16m8Mrn4/U2/WY5d3lYk4dsGazphWj5vDguj2rDxWBR/j18Xfbwk21HL7zKtief8Xeuh6J8ZmC2z9l+5LPzeveld/6yFtx8NmEGyXot0vmf5wFd1lSbLaO3kTibcyoXsyIQqi+z7ckDRu5X/vzJL5Pzl5/DbGQqwTzMy45F9rPFyljyy8hvc3Zss3y9bDsz+LmYMpTr5fIy2zlhY1bIQXi9NB7b8VjBlqXx03k8MqDXm//3oy7nhx3/Fay1/xmIdj4z/7JlZXP4o4DgHwZMPnaZfL/5IoRpCsfSJAx99tQ8jIqCX3nms+Xh/32fvklUI6vGVqCsaRhZNoRbT+xCFTrmAw8JI4gSBWXHQDsIARcYWuagE0YoFE3MTDTFsnfdhZvxwP3H4FoJeYSoR7ZvWo27Dh7BmoERzKVzGHLGsdbRUSsbiOcDNJotHD01jSdtXovvnDiKkdIgWkoTG5ePYXY+wOnJafSvqmL2zBz6nT70F3ScbM2zABLbNq3F5Ikatm7sx8REDb//6y+GEan40/f+C1ptqrlYhlFEo9PGQP8glo8MoNI3hof33Y1GxwNUHysH1+Bp1z8FF11xPW678X34iw9/Gm/61VfhfV/8FKpFBS983ktR9B1859ZvY7btYvnoAG57cA+u3LwRkWIhjD0YhWE05iZQLDg4NnUa1cjB8pWDmG81YBj9aLfmMbpyHMf2n0LLcOHNdxAUElScEcRzEerhHBQrQlG34MDBcF8/QnUOs2GE9kQbJacflb4SpuoziMwIVcvBtSu34yu77oYbeQJYf/lZzxCV0Udv/jqWVQcwXC3h9OwUrJKDWrMF1VXQcQIogSIFCgQIw2srWDjSgt2nYm15FIOrR7Br3z5sGFmBiUhB7cxx2KaDJ22+EGcas/D9FG0EmJ9nqy3bd4toMnxeUWFVWGig4F2v/R2su+RZ+PfP/iPu3v8QVi1fiZXDFZw97aHWaOG23feg7vh40qqLkQQp5joLOD49hb6hItxWjLpbRxwDFarokhgrh1bigWMPo2AZcOMIz3/Ba/CVr/4rzEjFcF8ZrbCDuaaHlzzhenzuzu9Ijp7XcVHsN+HWEwxUK2i2G2LVHB8axobla3DJtdvxvo9+WnKvhs0STnZmUSjq2PncF+DkkVm0phe6+W3MmCKASviAH4g9mHZWAjyViqgEoKCK+XXCw/jHUMRqG1CxFgQwdZpWQ8Qqs+/YzsoShm4Rh03LIfPKFA1h1FU2dTU+imSIsa01JlS0i7DFDNd9HweLJFSDFlvaFWnJJZRj7h7hCO2jQEylnB8g0ghoaEGkNog29xCqZqFgpGi7gdj9NJMgL4KlqUhM2m+Z70dVIuGiKpZF1aDdNZH264SZfinVdAGMSklsnIRAmuFQwwclMcQSyXINQjECY02KNziLGgKqDQlPmecpeXbdOWWjBDMVWXRhFQ1EQbdJluUcbGumoogZhqzrpoVaMy2EntdtRGZ2pZRWsACFllTaoZkbGAkQ4znAfEtNN8R6yrIHZiBy23VLQ8QWVoLoUIFlMRNOgWUw04zlHSEoFNN5wCMbthWg1aaKkN+3pBRBYe0wX0SIByoHHQGXkadAsQh2COUI7Ag3ywJ6TT2STEICLs5vV9XoCiCkjTWgMjQiHe3aduOwm42mKAa82IKudqSEww80yVYkcKL6Ug3a8MDSB0My1KjmS5l3KG3QKkKXCtBEABbLYiK1BPgutHIXLLO0hI91tPLqiYvQqEJL2JoqmjIpjlEjv6v05LUQq5IzqRUcKGFLlHvMImRBDZWwCWVyUOE1GtB0G46twu+4SC1GLURo+pac+yatsTwHea3oXWsyi59ZOBOyVRiPWKctE0lIsOshZPEE1YdRN0KA0Q0EppGiw2TRTaEEb34Ghl0ShZvKkhVNgddsw5S8v24zLOEVYa5tp0jbKdw4lus/LdhQfAWhmsIuKTDaEVq0ONMWrocIeL3xyiIJU1J4iS9Nv7wn8Dpw5HzzpYhFc/phRh2xu9NCSxsw2k0kio6ypaPu0l6ryO9q5i6KxZkf1BDWhjE6aiLFWbzX02rPRNCk48EuW1LUE7Aoh2UdLD0xCAI7sm2GpqETGyihjphzwA8jUsZWdHMVhcKyACfQuw3XSirgNLEMUdUqHgG2g7RTR1Lsh0kVp6nDYvVz3JL7QqqwGMaTQpAwNvEv//Se8/HPl6WxNH7kkc/g4+jNcVss2y0PBanYW8wmutjyerPkFsvhIygieMtst/kcusUy57I8uvzy+H2CGo7eXL3FLJ69I6+6y2y7/JoVPDxaHt+j2XF/kFU32zbCu7yd+Vztuvn94Pxk78sfl/z78tbh3mPROzh/GXTjHOez7DL7bH7Z2eiFn/lzgaDw0RSSvdbm7HvZtuQzAPO5evn97C1jyb8+v029+83vEfJRUZjtX/59i6lKl8bS+GmxiP6sj5+Eiu/xgny9gOyxWsfbfsTl/7DvPZ9z+BPP5HvmS54luUoMKlcdBYmfwh4wMKpXMNmuwzJsqEmCy7dux4EjB0Ths6x/OQ5P7YWZ6mhpIdRQR7vVwlB/AYnCRsw2nNjBdGcOVb1P1CFDg0M4OXtGHi4jvw10dFx/7VXYMFbGyckaWkGMe+65F5X+ArRExfbNW1EYc3D22ATuPXwUjmMiVhP0J1QxaXADDbXWvDzsNhY8aXQcWFVEn96HqWYNZhFIQkUAjelr+IOXvBC3Hz+OW+/ajdVDFg65DfTFJqb8NrRIwdZNa3H9jsvw2W98DQOVfnnAb7htTB+r45LLV+Pi7RfiAzd+CZvHV2HvycN47lWXYOva7Xj7R/4J45Uqrli7Cdc98Vp8/pbv4uzMFOrNNhRLx4rKGKxKhLsfPIxYi7GtMo5G7MMyTJT7qwJJz2oTKLsVTM/M4MqLtqN/eASH3CN4+O7DWL1yDSqejblgAf7KFKduOYHBi5bhuoErsHX7KnzsC59DjYHyrQjOoAkzsjBo2xhYXsKAsxLDww6m3Qn0t6s4MH0SC3MeAo25XibazQCh18aHP/R5PPc3ngN1SMXyuX7snzwpqr71/eOI1AAf+uf/Cw19eNmrXiH5eKtWrMaJM6dx4QVbsLB3CgvFNnQ+iGoF2HGKJlK0IxdeGGD5YBkzbgdRJ4RqmyixxdOwUBzow6a1K3D4xBH8/it+Cau2Px03/MLTpahiXK9ivDogxQGzyjym5+sol0tIqeYKFXTSWCzm9ToVQxoGSyVRrezYuhUP7j2CDdvWyLH/3oP3QotS9I0U4PoxNE9FtVTErFdHGIbYuWIrHp48LKocqstYNhGwXIH5WFT5FFKEnQgXr9qCh88cxI7n/TwmT08jmGsjIY1jzhoLAnhBBi77L0RVE8BAGtCuaoqKhco5ls3QhsmHZlPTmF4HM+kAOtVvmoAEWg0JqRihJ4laIeAoMTzaG8O2QLw0iuEotOkqiA0TKqGL6yE2bGknjkK2WHatuKT0kp/Flk0qD/Vudl4ael0rsW1AFy+uJvZJ2qUFPqgx9JTNwbHMDaGbqSZINFNstczGI7Bga2ZI9aXatTGGOosfuB86YgKirr4MChVcIZVoqrTcEqoRzFDtZxUshGEAw9SlhTemhZQlAswmkzYAZtWF3fIK5vqZCtxER39ZR70VSJuvAEyESKnY0x0BLqbMfQRVCZHEBhRm3SUa7KIOuClCVZcCEDYga9weLpvHnZbFKIBmUUUYICGAlfA4gtCiqJ10U0Wn6cEp6FJgIhZOrQCjlCJlzhmPj0GLZVddwRZWHreQSkAvgGlqCKVIxZT5VllaQBGiH8N0qO5krmI3580TMSrBOytzqbAk1HNkO0IaMlXmMDJ/rgyfANQLJfs0oTKTgEbRpIFXN1hiwSIFeodVGHGKKAolp4+gxqBiLSQmUyVrkQIzZk4yK46FJ7yXMWSQuW4EirSS63Eg+8FW2QKbh1OqH1M4ateuHpqEzJoA6yDm9ULYHImSLvYJLkOkIYF3AqfA9XGbUui2jciPBDKXKyrU1BQIziw9tstSmWaVTYRRiDSiMlxDwYzQIojldUPLduQ90jhswiDQpRWdPcdU0voKbKN73iqpD0PV0Ukr0COWKnWzLKkGJJwqFnS47QABCzQMAnYXiWoLxOK1zNckQQJDI4xlVl1RrNhxx0WkFZB6HVhVAkIdRtLuFl+wsIdQLAjgGGyP1hCzqCNdQJg4LHRGTEiplJDaAaI2FabMQSTJZ/mPKr8DEy9EwDbupATVjKBTdccOa967/AAFNUCb15/tdLMbaYNmqQuvE617bYbcdiYBOATuiigZHc4zZ6vpwjdtgfu0APMI6oTlhO0sD7INJG74SHO3pJJ2y2McHW6D2Zz0nhdhG5HkAhp6B37HlHzAj75/CfItjcd3UKmUz5XLQ7kMJlGllm+Y7c3o488zCEMwlZUY9IKv/Hv4ul6lQb4A4dEaaHuLM3rLJ/LAK3tPNs4FC8+V15eBn/zPevP9eoFg7/Zm610sI4+DUGkxGJmf++x7+eOTX19v7uGjjXMVhGTvzavi8qO3qCRfWtF7bHrnejFQvNjre9fbu28c58rc653LxcBeHtzl/541ROeVe73vWQJ9S2Np/NccPy5k/ElAxLc/Rut4LJb7g5b5E8/kQ0UcblAtqnJS6FY312qy2cCKSgXJgo+BUkWyxebdGJ3Axf4z+3HJpq3wfB8FzURrrgXLNhCqZbErpiEzjFJctPYCDI/bCLUylq8ZR80LsMwaxJA+gBs/92U8cN9efOe2B3DH4QfgJy2s3DSOD/zvv0d11QCOnJnGTTfdhl2zx7B8vB/FREXiJ7hgy0ZAS3Dm7AQ6zEbig7QGDKwoio1qIW2hOujg6muulcyz4eIwlq0bxd99/ks4NXEGJcfAZBrjT3/x1agpIUq6jesvvQoDNi2oCo4en8Kh40dxfO4kzs4uYHi0hPvOHEOj0cTmoeUYNBx87p9vwue/twv/+JXP4lVPfgYq6MPtD51AJwrwpKuvksyu8f5BtOeZEdfC3sNnMN4/hFFnEBO1Bgb7RuUB8fSJSZyZn8X0iSZatMVCwf6j0/jXL30Jx45NoDDgCBgdWbMc44Uq2g/NQ19lI550ccvkrfjLD/wjzszMYlwrSsZdZ7KDqy++AjU/wLfu3ou5qINvfvdhfOrTd+CO40dwaH4SC14TWkvDoaOncen6CxAVVbzg5c9B56yHzn1NHDx7WlQwBK18cBso9+N/vu0v8fJff4U0JV9w4Xakro/mfAdXrF+HuXIb5WpBVIO+GqGpMIKtiCsu2Y4SQ93bDm7YcSVecv1TsXp4AJdvvgRFq0gXJr70xW9j965TODk5iRe+8rkYtB2onorDRyZx79FjOF6fwJb1O7ByZBBJEGG4UsaTL78OL3/aDXj6dVdg+cCAPJCWijbsqo7TzTMYXV7CH7z0ehw5dhBOvwkUVDRqXSsrizZqAa2MKbRIR6kEONxPp4grN2xBJwnlOugvlVGoOKhog7jlc9/Gum0j6Cv0YYOSYvXacRQGi7BKxa51mllpLCtIfLFSskiCrbK02UmuXmzATWLotik0UGNZAwGJCkR6QaAIM/cIaqj24znOB2hR5dEmSttvGkDXNFFoKbTi0eHHtlhGuykxFNOWBlXCC6aOsYDAUBKoCYs3+DCvCmykAi4V1SGbZZmzR+SXSCkFSw44L8xZI2zj36nUisgKCYqYs+fS7kvLrCFAk62lqeNIFmHCJt7UEGuvohME6tJ6S1ile0m3UZbKVp2wkLmGBEcmfCrpWCAR0soMxDEViFT1ERb6EqSnqbYo2WgvDQINphaj2Yokg01Udwlhp4XUKsBg5BxtwEkgsErsu3QGJ7S8q4ioEFMCRL4nc0OlKWs9CG04t8wmpHJJ8v6oEmR5Ct2qkQbPDxEzVy9IxYrJYgVCVtglBLEnKj+qMpkbqOu22Dbpf6QlO2Tzb0xbN1t+afzUEVN1xuZRZiAqVAzShmxAtRyYPBk0XdrCuR6FKlC1iNRSoCUdyX0sO8xYU2EWHcms5CmT6CYCKtUC2pV5XupiJSZYtItFmHEIjaAr1qFKHijLOFL4Aa3nVHDRImyDoj5m9nEOWCbj+918woTHizmBXhthxPPBkNw73oepCNXCEG7gSckE7yNUCtLiq9CuThUhzw8qVIMGlMSSLL2Bsg2vTRBHQFYUlauiRaj2FcQvTRtwoKtoR93GW1WJEXtNyeykstcqKtJ8TBVmYjkCEXlMCKx0v42UeXIBUSnPexWFAkWKbIGlMpNQ24aTzJNByocIBimblIKkaHW6DdFm2ZDcvJjwTzMQUeFpRwJImXlnG8z2o2KUsL+J1HLkXLf7q1BpT+0syHwQKjP3T+t0UFQD+JECs5AgbC5Ia3FRDaH6ETzeC6hE7HRBOPNTDSpfmRmg8/4RQWERBo+V1oBFFa1mi3XY1hKkpga3WBILcCp5nbTMUyerwHISxKol9xXCWdiEqyoSZudxrVI2EyEtFqXBXuPNmkpHHjeNKkMqMJkXakoOH6MSW2GKTqgjNAqIIzb+0kKtw9BdGHq3RTlNCnCKtMi3z9s/X5bG0vhRRz67jSODKXm1WN4Gy0GVXWZn5MgDvvxYrLAjs07SutNr3+SDQZatx8Gf8+8EXYtlyeUHQVOWvUblV9akm18eR6ZEo6oss81mgIjQLMt8y+BSpuzKlpW9nj/n9/NZhb37ns1PBrvOBd84v5kVtnffei3I2fHi+qkszOfsZfPbu4xsf/L7kf08sx7zvQSavfOajSwDMVNI5uc9W/e5lIqL2aGz0haeMwIrH1l+PvMv27e88i5bVj73LzvuHHnAtxgY7P1+fmSAL7Mg9yo+z6f9bWksjcdiLHaOPl6Zhz8syDnX634cK+9/5lp9tPXkLaaPtsyfhErwbY/ROvLLPV/3uPO1recN8lnMGOoE0spq2DqCdojWdBsDAw4m3JaEedfiDo4dmkDKsPw4wECpgIf3HUKxYsPzXFy7c4s8CDIDik2Al26/HGe9Jo4eO47Tk3WkqY/v3XMfhq0SpltTYpt7+UtfIjllZ/0mDMPAvfv2w20leNmf/Br2Hz+OGXcC9oCOFdpynDo7B6e4AZ4f49jxWZyYq6FYKEJNFFSqJizmEymqZEoNVUqSE3XnLd+TDKozUzPYe+AY2nGA5z7liZhp17Gtug5//eGPol3zEPkhKk4Z5AF7jx6GVbRE6VKvs6kwxoQyh+HAxhytw0dm8N0Du/GOt/whXnTVNVDqBj525614aP4EfKuNe3cdwF998J9w9OwMXL+JVSPLMTnVxEVPugFh6kOLYwyPjEArsKmxiPLoGHY+YS3KuomztWkUi7YUFqxe3g/FtjF31kVrso0vf+9mOKMFDPX1ow8FeDQ5UtFVBVRCy2YbmzauRGxpOHnqKGbqdRQVB/fdfgdOTp8gu8XJuQlctuZimCawf24ClUoJ3zm0F2PVQVx95QWSPZYQpPDplmeXCZTLA3jOM67AxqGtmJtuSnPrrgf3IOrEeM71T8bHb/8Wnr7xifjQuz+N193wYliKgVLBwTWXrceh3UdhFYp49guehGjFMty4/x5MzbRwauIU9s2exOTCcbGiLl82jAf378PfvPmPMU/1SxKjWK5Ci00844nXYeL0MfihhqbrSynA1+/4Dj7zra/i7vtOYMOmVVhRHcLpzjxOtxYwMTuPoyfncXpqDpfu3I6CR5ikQGfzr0dFSyIwQfQ+BeC2hw7As4AN65ZhT/sUqisGUNCLqBQG8MUPf0nUYTe86Cm44679cN0O/Ht2QT19GmvXDYuySaHqx2K2mQ5FKctXllDwuTkhn/ICaA7bd/nQ3A2bl9ZUjxl2VOWlkqGnJhrMggrdiuWBmNcQ4QssMi4HSRgIaBBrsJLCYJOmFF+E8nANAkLaRk1N8rzY4EyVF4sUKNwiZCEY02kxpKIHvlyvVN1ResMGalGfSUOpJQUBnp+iSCWgQgUt7b8WdJP5Z1TBEcCpCNoBCiRX1CLyAtKZTccGWPFjoiPrCgDH6OaPGRZ8ZqqRrKgGNIImFm1QlUilEG2/GvP6um3F8LvtuASOhICq0pHMMiq/xMpLSzybUNPmIzmEAbyIeiN+0sDz2UQMHSGPuZzWisBSghrNUgUYWbaCokWQxmzFFBFhql0E64e53zxHaVUmJKM1VFc6AgCpEiRso0IpFJUZFc+cH65dBymNniZSZkIQpQaEW4R5EfzAQMjjTkUW4Y1jINUcUT+K2ixIZf6ZF2dRdUe1XaIjosqzQzUmSzAIz9iw7MGrR/DiQPanUAmlUEKJQzglBQVdEcsuAa/COSbxUwg0I8QBswtD6IWi5MIRdhpqBJvg0S5KyzKPFbMiLbYlEwJTQcd2W+Y2OgRfrsyNYkKWTZWX2KAJzxVmLboIUISqU8MbCuQWxWGhD5rmS8PzQqMudvTEbSJi2QqzIkMbnhsi8ln+wUuRNmcWZpgIYcOLmJfnQGEZiq9Cc6iyDOV1LJuJdQU6baem2YWp8KCmKYy4A7pvmcmYmpaUZ3Cdoa7DkHOcvT8aIpVKQwMaP7AyFagBsy1VyT9MqSDsBPBrvLhYPuJJcy8zId2A6sCKWHrRTJG0m1CjNmJmTaqBKOlCz0fimHB1br8JN1LkQwUpDOLZa6koMHeTpyHhKO3JsS9lM6Uytz1GrFE1/4ia0BiAm9py205SHlsqMA1ErgIUS/IhAgGiWjTRDhT4nRCW6iMqlKVYg/Ok2gZSuwSVH4Cw5IOK0U5b8hx9tgkrC9BUtk8nCKMYKaGgx6xR5g8CRUNDma3qHV4fHntABJ5SVdnkpxIs6yEADKlkLZ6vf74sjaXxI49M7Zblu2XlBlnG3KO9J4MliwGcfI7dfyhxeATGZJlC+cy97CvBFr8SIBHaZKArnx+YjbwtMxt8fb5gI8tcy5bPZRKQ0dKaf19mJc1Dpez1HNyfvOItUzdmEK1XxZfNy7mswfnCC25zHlrlj0Xegsq5z37OY5bl7J0rCy8P7fLbm60/D+AeLX8u25a8Tff77biPLKMX8J2r9Ta/XQQQYod+xsv/AySmam6xecvm+lzrkNzIN7zxP2Ty5Qs4epeVB5f5n+dhabY+QuEl0Lc0fprHYnDl8bIH/7BFHudS0P04yrr/DGTKl448WvbdfxZc/SzeK972Y8K5873P5w3yFWI2Y1Ill/J5WhQLr77uKqxwLcnnumBFPy5esQJu2JJw/khPcPGWnbj4sg1I2hb0xMAttz4kthwG3TNX67YH7oADHR3FxcjgIOYX5lF0THhKiOXDVRjlFJU+G5vGhpHQ6ubGGCuWMNWeRa3pQbF1LHQCdFIfh+rH8Y9//no8+Ymr8NJnXIfqgIr1RhXrBoYwVChiqFKFbRm4qG8EYRBjYmIOV+zYCLtkwo9DlkKi4KkomAXs23cCf/wLr0C9U8Mv3vBcrBquYLB/qNvIaFnYuW0nXvOSG/D0J16N1z7/ebhq8zpcO74eG0dHxL5rjwNj5Sqm2y3sPngIqy5YhV982g1475vfAkuz4ActsWKynIGKnTBsod5Xw5te+TpsXr0MLRaANNqoT8xgYeosZo4cxH33HJRsQFoOfS1C06xjfrKBqT1noUS0gqWwyja++eCDqKgD4HOTXlZglEooakNI/AC1dgsHTpzE1RftxINHDmG8Ogx7UAdxFu2RVJqw1XPvgYM4O9eRFtmNA6vw6ue8EFvGNqLdJOzoQiWWARDgsPHh/gP78Q//9jl8c9+3sHFsDE+46hIMlBxMo4HjZybw2fd+CQ9MHsK3v/BRfOW79+OPfuuV2L5sEJ+78x48+epL8KxrnoXP3fh1BEdO4RcueSqC1Ef/snX4nRe/XAAslVW0xP7W7/0V3vx//1IKVVaNDeCmmz+LDRetwuply9Ge8+GFHUmjO3G6hgGrgrBFNUyMJFrAsYUZ+f+oCSwstLFuZCXKKzbh5PFTqIWEMDHCeojqoIkBawCanSKod7CmvAwVPmifdnHw4Ck0Gz6a++bhGy6azTn8r7f/Mapszi1YqBRNbNywEl+bnsD85BHMfPM2rF4/AqtaFaUTE+jlIRkmUircRNlGgt7NnFMZqM9cuIRKny5Ik+w4sQt2g+sDNxL7KtV/RGNSVRuSIERShEDQxUw2rcgSDj7oU9mnibonYfZeyFbhUHK8aIWlaopqOxY56Cx/0Gh/7bbQkugTJIplVtQ2PPBWt3DAd0WNSBWgr7GkgypDQstIMgc1KtJIsqhWLBlwCegUHYG0grJZtyOlEVQjUsjG5s7UDWEbrNWgkk0VSBl5LJxoyhywwVU3ImhxJJZPj627RoqkQFVQhNAjcCe361p2Szbz5mwWiMJUVARqQcp1TIc1DRp0k6rcQBSVuhpITh2bp9nQzXZmuYGmLEmgbZT2atqNWcSggD7ViOsMg+6+Urmm6bKPLBtJWG5AoGZXpNTBshSxreopCzwiqDpVVCrCIITHFuRWBINlCbQVE7yohjTJssyGKkdaoAOX0KQLPqVeOe7IOeFLSUt3TmK20rIwgR+mUCuoRPDCWJqYOafMsUtZSNuhxZfVtwWEkYUobCJ0PYFWHuEay0GiFCUCWdq3DQ0+M0g1E9Q0EvPHoQpvZkFUn2JBtW24bV/yDSMvgkMJqW3DbLPQg+e0At3SYccdyZyUD0poEeX5ZDhI0w4QtBGzoIX5h7oOM3HpOJb2WJgsuWA+YiwqOl5JihHIfqmajYgQik2+0rZBqEtgR+unDyPsQEndrmqQGX5UmDU82S5+iESQybbYdmrACOtIraL8TA2ohmQ+JC3AhLeGZLWyVZxgEV5HznelbIuqTRSFtiX3dcLE1E6lAZl/5DpFRUo5yhZPVNqu+UFOIBBd0QsCzRLDgcH7nmXK7wnyUFlHyuITA1aR52w3u0+JOmIbZvOyTcWeWhCVZuzzvCFopaowllMGcROGGsBNmOnpI6KK1Q9hKmwl9qAYMcygDb/hw1JjpB1fIHrS9FCfYyZp9xzQFqZEWUxAb+gBEruAZmCLbT30DVQYmcA2Y97XgkBUzxbbN7j/cYi2piPhn1RBlYpd5m+GOjQvlZxGv1VDqJqIXc7n0lgaPx0jD+4ISDKw1WvdzQOQDARmiqxeoEP7LF/T2/LKr3wY+Gj40v+wPEKU3rbWvDosA0l5NVc28pAyU39lI2+zpIIvW9ZihQ75xtxecLWYlZj/ny+P6B29UDIbefiYB1LZ3OXhI/dtMZVcvkk42/ZseedSq+UbdPMW4cVeny/p6G3dzfZ9sYfCxb6X3/b89mUAl8vk+cDv89wgGCCsy7Y5v+152JvB3OyPlLX05P71WoXzCj2et//7j6/+/t8519fsO/3/2U7+Pcs5/Fl8eF8aS+MnMRZTxf0kIeOPUu7wWI3/SkUfj9c+n7dMvle++ZcwPz0nGUCU8lBFsmF0DB23g/pcB/qAhe1r1qM9NYd9tRm86vkvw4233IyZuXkEDR8ja/phGszxGcVEowbHCqDFKWrTHpavLkPFMKbnj2Okfxg7LliGL39nN/rY6lcoA3oHClVaCBD4CYyCiljC7IGow2y0bn6RrZiw2FZZAH73ha/A+z7zafQrDiYadZT5gJgqWLe8T1RcfPh68o5LcNfB3WhxGfWwq+BKVawfXgadSqO0gV1HT4ky7bqdO3HfnqO44sINuHjzTtw98QDuuXOvBPH/6gufj/seeBihqePwsf1YObwW9UYdda+FtWtW49iZCdTm5uD0W3jts38RH/rKv2GwtAzzUzNYt2IENzzlyXjqldfhW7fdhhtv+ya2b9koyprb7tiLyy7agq/fdhdWrhvGAw8fxfIV/Ug9E64WIG5HYAxXXemgWirAVHWMrBjHuFJCvTmF+06dQckoo1JU8OJn/xxu/c69WLOK/9BUUanqqFRLmJlrIfUS1ON5rB1eA7tUhOv72L//CJJCiBNHzmLWa2J0YBgXr9mMT9/+NYyPjeLUkQkklLogxboN4/A9Hxet2wSnWsSWZaN41yc/gavXPAGBPouHT50ATbDLrZW4ev06vPrNb8E7/9db8MY//UtgsgGMVeQce8mrXgjNjhGbwGfe9Wd4/e+/H8f9k7hq8xNx2+3fxdq1fRh0hnD/6cMIOsxy07B6ZAXaQQ3VgTIOnzyDlYPjqLUWQEGNl3QwMrwMpyanYBN6VFN4kwyuV3H52o3YfeoYYiXCC69+Kj7z7VuwacMqKJ6Cg2dOoVKyUXbKmJiaRYXZaqYCtBQYVRumk8Br+RhQ+uClEVaNrsS73vVuPP/FT0eHQKegYW1pDGfdaVh9Bi6+9unYe3wB3uwCQp60bBilJY9FEzTFmgr8oKu6ZFEGZT8sQlG0FF4nlOIDltakKbFNJK2tcaJAYcg94bfqQNEIdBJEXiqQgQ/roVhmeYjYdpsi1SwBQVQGEjrEYQST6lTQAszqCgbxh9KC7VBt47Ehl2JNllb4orpie6ehO1KCQQui57rQDUvy2KgYkhw9toc6XeWvpluIoy7UpmVP2l4pX5SOTwIqtuby2/wBgVpRoE/g1rsNxbS0siQiCWGnCjpxAsNQ4McKbF1DwsZYFnSotMYa8FsdqNx2ZohR5UiwSkVm4Et2oEI1JJXIPu25rMSlwiiVLETbLMk9hTZPQrxYt2CkNELTQhgLMCUsZ7Mu2CSbUtmoiHVY1w3JfSTE4DE2LbZdp6AvmGo5yjSZ52ebmuQKBizv4FURO9BMHhMLcdgQeKRrtsBVgp+ExR4xFWg8R3SxGBP0sBTCYFuqbyBk4y9VUIYPKLYcA5ataE4Bsesh0UIozHZjqQUVnOojSjPTknOB+xW7bZiFijQ8S85h4iKNqczsZu9FGj+o6X5qxAZmnicgTKZFllmJugHfi1FgzpzqSDsu7cqEs1QHmmySZqZgYoq1mC23sWKKpZdZinQzU4lIxWCoUblJsscVsgiDcI1NviGiVIFRLiCZnYFPEOoUYND2+whEJ6wzB/vgBz60VgyjosNfaHaBcWQicpkEChQcXa4H+V0WdqR8JUqYpUdQakHxPeYJyL7rJrM3HQRynFmmo0iOZfrINeiH/CBCEUWp4qhIIgdp0kZqMJMSiNstWEUHnaQA22sJrKaaWqF1mJ7goAktCBAUi1AJ1gwdCuGqQhhuIlV9xIot94eyGqBFJSkbav1I4J2l6/AjGw7a6LCUhi3bhM9EcQbVqAZiUSbz7xaCdgtF20Qz6VpzE95bAh8226ppQ4+Z7WgjidrQ+4bgNxvQmK3H8980YRYVuAsRdCpbgwSatBCzQKUIZgOwNRyRDquvhHatIfNta6G0vxv9I/BaTWjMOHQKiJjdR0GvCnRaMXTHQaT4cq5ZeoR/+scPnY9/viyNpXFeRt6uuFhG2mKlF/k8tnw+W5bNl41Hy13LK9X4PsKe3nbY3qzAxUouMmVcPj8wy/7rfe1i+XJZxt25tjE/L4tlzeXLIPLv5XLZmruY5Th7fS9M7bVQ57P58sq9H5S/d65xrrzF/HqpcCOEy9aRLx/JL2OxfMXe/ezd3qxghedM9t682m+xuc+rEvPFIL1lLr3Hlq/lPvYWj2Qjy+NjCU2Wwdh7vLORV6P22tOXxtJYGo/9OJ8Zcv+ZZT2e5R0/LSM/Bz9OicxPPJNv9lQNZbsoD/5pAKwbGpDsodFyEVtWjcAIFOw5cRRH2vOiCPvIlz+FhlfH0FAJay5YgxVjo5id8XH92u24dN1WFAMdZ442wYz609MN7Nu9B1s2rYbbauDmWx5C4qRosHow7VoKXfgYK1WhsXnQj8UOSKeeVtJhuRo0V0WiJXCDbnD/O770r6i1OpiImnjWdddg9dAIFoI29kxMoVA0RJHoRj4qlTLs2IY9UkLsqnjC5Zsw127j1PRJAWC0wvUVLZyYm4UtbYIa3n/Tx7H3oWN4wXXXS4bZV2/8FpLExu6H90A3bbSCDuZrcwh9D8fPnMKoUUGpZGP9shX4xFf/HTqfgTxmQOmYb/l4/42fgzqyDv/4pc/DVqtALYC2oGHdhWvxlft2oVQdx669p2EZDiZP19FnGGjOtOEpEfr6StixahwFxcDc2Tp237kH37z/fhyansaoUQILIwl2arM+/uqd/4B7D+/Fdx6+D7d8/dt49798Ap/60k04XZvCzbfdi8/f8jX83b/+K2789y8j0GMcPHgCupJiuFTElDuD47XjSDop6hM1USHReqeYGtrzAbaNbYNrxGg3Q9xx2wEkRRV3tu/BtvVrEQYB/FaIomVieMMIvnrPTdh76gCe97Ib8Nq/+g28+FduwLNe8UwUHQUBLV5ehF/48/8HdXcBa/tWwg59rN+8AttXbkCkxfiVF7wC11x+lZxnXknBc658EurzTVhKAZuHR+GmKdxgAddtvAyNVgPFoo5OECLlQziD9WMNB2oTCPxYmjCn6kdFnTh7ZhbDZRuj1RI6dQ8ztZqobfSiKba6/moZT7loG1pzroARu+QghofazFl89t/+EYx9XLVsQHLmDpw9hpJVwNaBZbi4Mo6tK/th9A8IIGQzaaqpcCyWSLChVBdgwDIH5oJRveiF9HOq0ExTcukigifLEvUfrcq0JDJjL+aDN/8L2UzMP1TQ+fDSRxR5BGiSGxYjCfjwTkUNW2Vp1VMEIjGYn3ZIMpnYp1XSQkSApWrSyipWYeYmWixUILwibElYqipgXdW62q6YqjcWbEp7biJKT4IsWv2ILWnFC5jbpZjQTUOAHR2rbH+lXZbdHlQDsXBHL1ShxGxKjZBGLpKYJRQELCqCgHZlFR7bPLWiqCBpTiVg02xLYL7xSBMrwYTMFbGpVpKsMCS8cVDJp4jqMXYDGIYJ32sJcCF4IgDUkgBhpAg8JfgjOLErBZDg8R5jWl3rM8slmEsXJyxeoCJMhR+xbVjvNt3qQMiSDp1cMBW4ylKThEo6NUDUSaEzf89mDh/LMEJpldVtQ+ZTtrFJYSX3h10aiagZPTdAQELCJlo2NKeENDGU2BNwS02kpkcoGA7U1IUincuKgDxXYXUr7eMlWKoGk/Zvgkwq3KhQ9JlNSFVi2lV3+rQRm6IUFf6YUtXYzUWkYkw1i5IHGIN20FjU3kWWNxAaRQrS4hBUFjlwXsVOy3xIVazP3E62+iZ+k5dm9xxNmBlpoOiw5RjSCJ6Ivz2GXyfAtKFSLcYK9oItx5PZkEVLRTo/B9SoAnORBtznbqaeHrShWiosx4Knl8RCTGhIeyiLPrQoEku6ojK3kCmGVMBRTcm8vwgUHrLAQ4lZU+Ej8X3JnCuUDMmJZKMsiys0NuIYZlepGrCAhYUpvBY6iCzazrv3ZMVmkQ3hONBBQUCfNDRTeUtgzQ+fNFeiMrhOfujSYAZmbMLgKsoVUdQy9482e4/3AJaY0IL9iIW/aBsImixISZFSPerOSYFWh7EV/N1aZzZoALXQLyUsicsqDR2hniKxKmAzhukQsOqIbU2AZsDWbBqG41SgOPPzWDwTs8WXVxszHtMYbq0Os1SCRWhL5WexH0mz80ihhybZtrSEh2GMINakhZezXiIojHW4Qd/5+ufL0lga523k4Uoe5vTaaglL8nls+Uw9gpKsFVYy13KAL7OYZsvqBWJ5wJdXtGWgK2+d7LVUEkhl4CfL8eM2Ztlu2X7k9yGf10eAlanW8vuah1T5LLvvw68eaJSN7P1c7mJFF3kg1atgzJRzGcDifuVVdYutK7+9vfl++e1bTF3Yqx7kIBj7Dw3C73rnf8i/y6vn8svuzfvje9j4m193lpmYf2+moMyOS5bVl428qi47zvk5O9e+9b52sWNFsMfzNj96izuy72Vq0iVF39J4rMfjlaf3ow7Cmx8nS+9HAW0/zvr+q0K7t/d86PJYZO31Ar7H4n543iBfqWygTdsTbUiqioFqAZ5D6y7/oR9juGSjkKh41Qufhapmomrb+PVrn4xmy8PpqQkcOnYSq0aH8NkHvgm13QA9dJdftA1BmsLWTKzZvAInJydQsEwMVovQ2gpW9rMBk+okZoQZODQzg8TggyIf7hWYqQZ9JkGp34JaUCUDSunj40eCpBGLla0caPjMN76FeyYOI4oTVBwbSmTiiTt2YKQ6ALNRxdTMLCYOT6NTjnHHXXuxc+sKsboNFyqwHBPVQhWzs7Py8G0NlrFlxXqsXrsStz5wH8ppCWNjG/DA1IO44corBISyRMNDjPf+2bvRbLQw4c5SdIEzMzXYjoGxkXGsHRpD0VRRKVaxfeNF+IPf+SU8Zeel8N0OLrpkG+aDs7ioOIjRUhWT7eO4cPk6fOmTN+GiK7biSLOBC7eNoWBrONtawMPHpzG5sIDS4CCMARMqM74iDVs3bZdMrf/xutehOjyCe3bdi3f/2QexYrCEhq1KRpbTZ+OhAwexetkYzs43oIcRrrl6B25/cBcsw8KOnVtR7RvEJWsuwF337YcVUTnYhnjXaNcNgb6hMo6fOIazJ+ZwdHo/itVudiGPwXs/9xW02ok89LfRwW2334HD996BM/MNdCIPVb2AdpRgrDKIdZV16GOzrmajr5ZieEURQ/1DuGP3gzh06Bhaeoo9x0/ghS/6Zdxx7E506m1Evo+XvO53Uau14UDBTORjyLRgKAXccWS3NGtWrQKsoi4guFyy4ZR0/O9f+iUMOUWMlkfxvb0nYEQqtOEBzDcULLgRVFvB+tHl6B8YkHZW09CwZdMg7j90GBZMrOgbRsNtYNX4AFJbw1e+dysSLUYEUzLoLlq3FlvWrcdcp4h/+MAHsXDPHmzftAylZcsEGjKQj6oY2mrZAM2He4Oh85EqdkObtkSCmsCH72uiGIXXgkk1Fo26JosQaAqlUiyCJq2dmjTkUn5HmCgxeIku2WO0KPKdUpJgMD+OZQgM0fcloF+xLNgaC0G4HYFAJrYHG6RKWoSYoIYqWrbBpsxao+U1QGwQSpFp0HrOPgLaLPnsTqLlQdFTKbegwipOWbJhid2YiiGnYEtZh65rAr6YL8a8QsJANWghoVKPeX9cIEsRYIiNmsH+bP2lyTnR2RPqwbBjyQCLAsIHAil6fmlLpJhK4TQIUCO07vgBVJaYJCkUWkMJ0qIQZsEWoBUxA1Cy/FKYJZaeEBDq8l7miyUKu52Zq6d0bc78vMGmjbV7TaUxc9Viaa1NwybixO4qSdkw7BHJplBCqhQ18lZRgXVaAdIOW24rkiFIGM0GXBBqUklHBacPtJk5xwZj5jxqBlIpV6DCL0KJO23aII0y9DIQe1ATApoUumdCZ54cQbBYidnKSqDTRrsdITGrUE0FuqjyNLHSyl5StMbjrbNcRSdKhap4UHX1kWbkGDaz8doLMGM2A8fwOwSPGnxpIg6hGCGiVg1G/yAQENY50FkgEbqi4mKDNLMlI+Y6El7RzszEQkNHh5ZNFjh4oSgQqR5joRL1mZYVy22IJR86FZssWCJ01A3JuKQvmR/6pE5Brp/IcaCGLI6JofgBQqsEFS501tHqKkKjCL3jIY4t6GVmJCYIvVDaxWPVhk9bMaEgFaa+LpA8jtmEncDgOcdMSjWGYfLcbkkRCG2rkTog+a1KwHXbSGxePYLDoOs8z3Sx6bOQxvdSAf+85inqjbwi2jXmUGpQGJdAKGoAhdRHVF+AzoxB2m9jD3pJh+L70Ay2EzObMIXX8KXcQlEJ1k0oDPALza4KNNFRYU8GrdZuHVE7QLFqArrRhYhGN0uPOYKBweZnHXalqxYOzSoC5nImEdxm2s1yjAMEQYKY28j7FWK4zQ58P4SLKgx/AbHqQys48MMEmpFCoxqcyk8lRiHhhw0ttGEh1WIUtNr5+ufL0lga52VQ0USrYm9RRW+5RN72yJEHP/yatdHy54Rs2c8yy2OvbTIP0fKAr9dOS4iXwSJCot58tny+HB9AMhtxlluXh3LZ1zwA4nszCzJVilwXYWKvbbfXMsr5ymzO+ZG3Gcv/P2I/zX6Wt8FSbdYLGDMrajbH+TnPLz/7e14JmM/q6wV82WuzXEH+PFOz5Ud+bvPnBMe5Cjp6QWE2d3ll5mIwMn/+ZBmFhIqL7W+2X73znbfk5gFqrxV5MWtyZtHNlt9rB8/vT/51S6BvaTyW4/HK0/txYOOPk6X3o0C5x3J9P2jdP84cPpb3jrf1bOvPajHIeYN8rUkP3oyPzRvWYs2KAcy3fTRnPHRo+dMUeOVRTHUaeO8nPo9pKkviGF86sgsvfeq1sBiiHkSY7tRgKzru3LdPWmX3nToExactR0OtPQ/XCyUfraQVsWX5MtRqAQYGSgjKijy7momKZjPEqr4y2vM+mjUXybCGmuoi1qgYSeGe9RHQJaUqiOZCTLWZmcQgfR2jhSJmvAbO1uZx1SWb8aTLt+B08yRu/vLXcctXv4n3/e6vwwsSfPueh6D5Fg7NTsNJdZRVC2OD/QhNFXffcQcmzk5h9717MDE3DxRC3HP8fuxcvQ5H5k7gbLMGM6mir1LCb/3Fm3DpRdugFlJsXrscOpsnW22MlUbQ7syi7Xs4PXMGfr2G3RMT+O6BXZhvLeDSK3bAKBShXXg1lhUN7Bxeh5HhqjyQ79l1DJds2wa3UURZsWDqJgaLJVTLVVy1cxSv+rkXYMf6dQj4wBl1sGzFcty9fw/m5s+i2JzAH/35r+Lw3LQ0YPYXS3CKDopUh3lsNFWgDVg4dfgkikUWGgAHj53B/bv34cjEKVFudIwESqcLohRmsmkKNi1fgclwHodPncKRU3O4ee+tuKBvDdZXVsLgQzmVWkmMg0ePYe/EGew9cAYFw8Dzrr4S+yZPIJqOxe67YkDH8rFRWKaFadfDJDwcnzgMrZiiXHGw696TqPQ7eM9fvxWFaUty9fz5BbztL/4cl124DWa/hZMTZxAaDgp2EbZt4oota9H2CMoi6JUyCgMlOINF/N473oe2lmLNgI1bPnkL3vC634U/M4vDM0dgmimuungHitsvwnx9DsQ3I2NDmJlLUa81oTpUz6kYLoyh5upo1Vo4MX0Wr7rk59Dy5+HHMXZPTeDefQ/hwUP3I1ACnG3XceR7d+LNly7HirUrUR7rEzsf21WJOQjkaOfUlBCqacGl2otaIlWTJkxSU4bvG5aGkLCJNjkq6FTa5Fj9Amm37KQqdJstoQQhvqjfaDMMYtpiCfj4AE1rqYEksRCxWVRLEfl8DwEFv6ZiXUx9Fhr4UJmlxRZbhehFgUqqxTbX+JEyAs+FT3trrCBx2SRCIZYndtagHUOLFGglByAcC2kxVKBzm11f1sWCHe6fS0jE9ytUV1GKFMJhSUhAa78v6kPCAVHg0XJKUMKGVdpOfTbQWtBKJnRm9Dls9lVhGIRkCdKQGXZsB01FEamSVvkBgoQfGtASSlUbRJml027IcDceA6/VBVAplaumqB3VIIZqFxCmGqKYyitIkzGLD2h/RdZ6TBAo1mgq7hSUacck9FSYccfrJ5QMNlqWC0UVseZASZrUPElRR8QmYc0AeYxd0CV7k0rmmApnAY9sROV+seQgRKh6UhhBa2aSuOg0UkRqi4JrhFqIKPTFBqsaMQzDRkBwxuy3ggpN7UjBSmL0CxQl1I1pgxaLtg6NQCusi8I01S1RjjGPkfcAn+UrBItUOXKurRRh4kmWXoiyqJtVkwCLFl/auUM0E0eUhLQ6m0oHqcbyBdplgVgpQLUsOZcU20BRCREQYIeJKDl1KislIdEQmKiZKSJm4xFKGjYizjsLTXQNdtCBTbiVdkTxFhFsE6QZClS/KeA6SUOYdgFK1EZULkOLO9IIzHPdsEtyfhmoI6k1RdXKlm2toEsBVdR2iTWhOGwIb0KNA/hhiNqcDp3HpBPBiBuiPKfymDmGadjpln1QFcecSSJNrwmPoZa2BY2NvgnLV4hQa1KMQpU6gbcvUXgWmpoj9wKVLc1U3BJFJ5psN1trNacsjcV+YEITuB7LScoPwMLEhRUGUBBIU7jFRlzepwsVdDqRWPV1h3DXgGoCqUvor8i+JV4Mu0BlYRNm3IJeGYRGVarCj1gUBEZZCoVYOKRXB+BonsQMmGGjmxkKXY43QWSj7sElKNa6v0t8X0VI8M+m6kQHWfHSWBo/jSMPvrLWV/7Jq7EWaz3NQNpidtc86MvDFy6fQC3L0uuFWtk687CnV43FZfJ12fcI0wgX+RDFP1kOXwaQehVaGQjjzzPFHJWIBJKZ4qxX/ddbqnGu9t88iOzNisu/h+vtzT7Mti2fE5iNxYpR+JCVz5vLw8kss7B3GzN4t1jpRnYss/zAvIqtdzm9xyMPKH+Yke1PPneP+5NX9uXnPX+e8fzJN/PmFX/ZsvJgMD93i8HNzJKb7Vd+7rLjmYeTPMd+mrLAlsZPfvysKe4eK9j4kwJuP4vHv3cOf9ZVhG//CWSTnjfIV7YL2LJjG5595WVoasDkfB1G1cDh1hzm3Q4GonlURghWDCSdBJsu2QnFc/DdBx6EYZkYGmTLn4JyQcc1F23G3smjUoQwMjyI/v6yhKmHnRjlqAxP9fGuP/oNfPQdb8Df/c0HgLoqlj61T8UN116LyXpNcp0iqpEMBf0JbUm2wBc2cPanOjPpobIQwaACKIVtGjibtOG3ErRTF++58Ys4eraB33r6Jhzc/UW87c/fgI995W5YVD7ZGirFBFYK9PWX8dDEKczNdrB9ZFxUEwzLd8oFjC1bJsoIKijOThDuAM/YfBE2bVqBth9i3BnEX7z1/+Ciddth6RbmwwbqpicQdNL1UBoaRBAHqM3M4wmbLkGr1RYQ+it/8FZ8+s67MFD2cWCmiU3r1uOCzZvx5j9+AzavGMPuBx7E3uP70VcuIQp81N02dDtBxR7EZ752I2aTWJRbU60O9t5/AKv6q3Brh3DTN/bi1PQk1pvLpfl4x4bVqE/PwZdCEVsA7iXrL4RRHMSawXFpGJ6YPY3f+8VnYmGuJhZTQzOlvZVDmlt14PTULC64YCU2rFoOraJL6+O+mePYe+IY+uyqwBMqdmjPChQFacfDwEAV9x87hhWFYVxy2SZ0Ih+3Hz2L+w4eEjDFzMX543NAZOCpl12GZcUxVEcM1KfbmJubwcufdR1aZogZt4FCK8CWCzbA6NCKqqBSLGBodAibt12A6YU2WpGHQtWG59cQBAGWpQZKFRubRrbhtBvi5a97Hp5xwwswWBxEtdiHZ//cM3Dv7j04+J2vYPOm9RgZGUNJK2CooGPFYEX4z+lTkzjSOowrN6yTh+u11eX47MPfwbjTj8qAjqJVgtdm86mO5aN92DCyGtP1OfzWuz+MP33yZVhdSjG+cRmUAlshTCRsazUNRFQJMSOMZQdK93wm/GARA22MVLApVGpaBqK4I4ogyXtL+Ddd/uN1QfWTyTw4je26CgzqehRdnI26EUuWmKJ7cm36iiHXDoV+VOmJ9TFwoThlKX5IdRUaizhMZs5xGxSkaiLB+rRfMhuPSrLETwR+CMQiaOfDvqMLsDZ5TlKVy/bVwBfoQR0Y9FBUnna1KGojokmq06iO0lPat8mC+H2q90IpI2AOWLdJIIEZsHSmqxQNtQQam3bDEGZInRRVel3bKosZqG3ieyr80CECAo0WyhihH8OidZJ2TS+i01IUSSptxgoLTBSobCWWiD1T8hC9jgvbZjlJIqUIKiGi4iCRel5CzAQa22VZJBJw3xX4rTZSKvFo/2R+H08klQCStuAIasJSFRVJzGOvQDVTydlULQ1J2LVpm0YJ6BhyDrABmLCI5SmG5gi0pcpMS1neYMGs0AZeQErbr07AwjZZZtOx8KMt7cEsQAj8CI5mUngJvbOAOGTDbiKxAsyo4/x6vgrHLKDwiFW52YiQWDYCWovF3qqK4o1AjypGgkpbiWAbHUQ+8/2YCRdKk7SexrD4YYEawUhZYGLKz6mCNezucY6tMvSShcgN4UUxbDuGG8bwWK5BBWRiww9TFIoKvIDndiqgNnBrMPmBD2NaLQeRpiJZaMBPTeihKx9eJDyXmSdomDB0E6pRgNdswWTjNcswqLRVTVE6aoovBStRUJBzPU08BC0Wl/iyzywOoa2eEYXJYEUy9JSgW6ISaQWYVR3tJn8TJwg7HaQsCrFZMqKgVNKRulS1RkjNPlmG7gN2mdZXS3JM7XIZkVaEFbArWYOeaLCdAEnoIFUdaYqGFNDYYnemddw0QwRNt5vnaLGQhXDTRkwlnqghS/BpwS9SjchkzFA+BDBiV84rKt6NWIVLdSmZu1pAsRwh1GmRNqArEfQ2Dcbk9j5U24Jt8UOABE4wI/cwz1MRdVpd2zrV7SnvUVwWYbMBxW9DtR2xNkcdKk49ODw2nViup8T0UaiWz9c/X5bG0jivg+Ajg01UelFlRkCSqfB6FWO97bkZdMmXSORz3bKiikyxRSCXzzrLw6HebL6s/CAbmYU3+37WcttrM83KN/INthmIyhd1ZG2r+dKFrIU2G1k2XvY9AjAq/rL155ViecjUC4fyIw/GMtjZa0PNFIPZOvMjU5Vl+5dXGvJ7GazM4Fh2vLLii3ONvG04O6bnUvFl85dXKOZBYh7a5ped3x/+f/b67CEyUxxm854/V7i+zBrOwb/3tjvz2POYZvvOdfF9iwE+ws7espfsvO9VU+bz/WjJXlL1/fcd51tx97N4Lj2WNt3/Dsf/x/mg4O2PnC8/zDIeC+vuTz3k88IUv/8br8cznv0abKuO4UlXbMcrnv5kDJZLUCsmOrGH33j6C6C6KmxdxfF9ezFRP4uoYqLEDCA3xitf8kwcnV/AQ6dOoKCURe0yMTONVs3HssIglpUrqKc1eLGL17/z3bj9zrvw8t9+oTwsa7YuCp77D96P1cuHRcXCP1bIB2UFEUPENaDPdNBoRGI9E0WRl6DPtLHqmpUoQMfgSEmsTGfOLEDtzOPD3z2GU8emsX/yIO64515RYW1buRId34RPoBKm6C856IRt3HP0EHRR4WjYtmEVopaHwZV9MDxV7IjXrtqBfRNTeMIV2/HCZ1wDY6SM33n9L+Ge/btQ0Mq4dOvFGNWr6ExNobnQhhEHKDLsXA3RDppwDBuVqoPYAH75aTfge9+8DdNzU/jsd2/Buz/xEYyPDWHN6hVYuXYcI8V+HJqdxVC1Kkopyyyi2fLxey99ERoTNWkkLjs+Vo+OoNFScfhsHcdm92JldQh/855/RCdqYfp0hOGhIVyx4xJMTE9hYnoeBRjYdXQvpmuzaLVduEGED37xW7BoDWRrqBpCH9ShDxDmUbSUYtfBg7jr7oPYd/wU0Eihqyqese0KPOdJ1yDUWeqgQlUU6EUNjqbiSG0Kr3nxcySnMbATXLx9E1Q7gZYG2FLdiNmZBrZUx2CECp6y82qsWrsJgeri6OQkFDgYWrEMt+1/GMWwiJ0rt6F/ywBO7tvbtUEaKRbmZ9Gcn8Ce+/eiWq7gNS98Pp57+RX4w59/EV52+bU4MbkgJRHP/qWXYNOabSiqJv7l0++CVdTgeR3c/JWvi3KGvKh+dkHsgIcnTuNUOo9TtYZYLst9DPFP8Ju//zaYhQQT82egWQn2z0yJSqVZm0eqEHooon7ZdXI/NF/FllUb8dHv3AP3+HGsmTqILVtHUF3dD62g0afYtcNTOUWLKXP0yNXEDqsJgCNAM0wLAc/NxEBsOrI+m8UMSgKwxEBjo3AAj/Ah1al36jatago6bdIPttmqiP1U7Hiqz9ZR5qixYEOHRihIlaHfhks7sFhTadkNxapqalQDscY0gJKw0EMXCKeZBcQdTxS3pL+pyZZQRYL+A8+H6ijdrLkCZUIONLZ+sjU30ZF0QqShC8WiNZlCQVaMqKJQ01jIQKBFS2bCshBNwBRBmV+1BOQnBCrMblNU2e8wDaS8JlHK3eIMWjxTDYZtwg0CKTOhqoqARqWqKmBTbhfYRR7g6MwfZE5cC6rrSkstlW4sHLEcDZatSpYYP5xIohR2wYKud9tspXXasJAYoi2TuzBbcRWLc9lVDIaJD43HUrPk2KoEKKaBMA6lWZXZcbxPpVT0UTWrJ1AKzIBk1hwzGE34bZZEEAIy508BigqSJIAXdEQRx3NBSyKEHSruEqi2ioTqOwrGbIJEZur5cIo6AvqZtQQdjeuQPh1RMAaaAoMqNYVqWyAgpLR0gUkltvWaNhS7LHNnseWWYMyghdiGz+blxECqlJAECuC5CKngJGAqDUNhzS+t12SvqQY78RF5rrSYq35Dvsf7uK8SKncVqjbzASh71ROxf3faCXRatKkMrBZQIEQOuQPdZlyeXyqz6+h8tsqIU8I7xvW1EUS8Zljswg8u2DBOBaOHsEFA2elCduMRK3Y5EBs4yyn0UgKb+ZSE1bTQE0o5DuIWIZYKV+E+ezBqDIOcAAEAAElEQVRJ7SIF5UFVri/eQyWv0IUAvwYBGj3YdgEas/ccgukIbpvXG5uTi1CpbvU8mAU2NyvS8lyvcY64Mv4uMqEwG5INxz4VsRr8Rgser1VPRVoq0DWLxPWk7IQaSF31BCRHoQ5TZ7EMQb0Jimj5e9ZtR6jBhG5rsC3+no2xsOBLEQbV8h03hFYdBD9iYPZjpxkhTX25B0QaUaQCU08QBVQtBqLSTTWmc7Klml9V6JUCbIMouAizxA8uNHhUkhsW/FCB7qfwanIgl8bS+KkczCfLYMu2obu+b3vNst/yaqgMiOThSAar8rAnA3DyJ1f8kM/a+0HjXK2xvQAmb//MHkYWsxxz5FVnGVDivmffy7fQ5vc1D9HyNuNse/IgKq8uy17Xq4AjiMqWnb0+m+fMWtxrAc5G9v/ZMctUfNz3vD02P8+9sC6fl5j9PPuTn5/F2nvzlmj+ybaD38+y/bgMwsbvL+sR+3LvdvD1i1ll89uUbUf+a6+1N3uY5ddMidh7HBcb+eUslmm42Mi2N98avTSWxo86fhZVXnkV308SUv5XUVF+AC/4sXMKP/BDLOM/UzTyeM/9eWvX/cd3vAm//qZ3fP//77nj3/D+r34Vr732eTh8Yg8OHanhf/7l/8HXP/sh6MUO/u5j/w7LVDHX7GB8sIrZhQ76yg4KWgGtqIOLt1+G+3bfA0u30Wq3MVYexonaBMqFAhqtNrasWY6//dPfwZv/4m+x5/QsklaMwqCJS9ddgGc8+XL88T/8E5xBG3YtRVxUoXkagnLcDaKfirpFBVSisMyAFjA7liD8kb4SpubqUPwU65aPo+zYmK7NodZp4zVPfwme8/LX4FWveRGOn57G6tFRfOQjn8ELXn0D3DYVCFThKPib3389ps7uwTs//g2U7AoCtQMbJrYsXwG34YkKwyz4KKQKfKMCy1Dw0LF9WDu4HntmDmOZU5W5qA6Wcfc9+1EYsbBp5WpsGFyLb++7DZ14DYruCYyvGEJjrg4/1jAf1HDVqg04dHYOywcHcWB6EhesGQflNg/tPy0PfJ/96Bfx87/xPKyqjICeZXtQRTyXoI4YM7PzuHrnBfjW/ffhCYNX4HRpD07sr2Hrmg2Yak9i0/haPHT8JPotBf39g5heqOGJF1yM+48eRIGNjJ6CfbVTCJqBwBpp5eSDq613LZdsN3VMhAlbMYHXXvR0vOxNf4S3v+0NGBgfx0MPPijFJWu2PRl33Po5uJyfyMJAdQDTc/Nw9QAXrBnCiVMuHFPFcHkYT3/iJfCbKj7/zW/g9Ow0rtxxKfYdOySZYKGbotl2YQwa2Dm2EXtOHMLWlctRb/vYsmU5bHUA39t7F1hBoDfIHl0GWSFsQ+zA127bhl27H0YrYkZYIi3EBCF2oYBWs43Ld2zHrv374DgFtNIOlEhFNO9ifNkgztZmsWX1Guw9fQJf+Ojn8bt/9kbU90zAHYhEjfPz11yPz93+HSlS0DUTzakGOm4bGy5aj4d3HUTZKqKlsdHThJkC1z/pehyPHUzuPixNlAq3iSow+JL5FcSpZO4RRFhUT7GJl8H9zN8zDIStQEAReygIJBW2pfJBm02hkjemg3q0WLFEJWnSfhoS+xH4aTAS2u1ipIojdEdKGET9lgAeW1BZakFwzoIBqtoguY9sS+X2MzSfD/XMoFMfKROgEo3lHWkSCixiGQRbRbulGFQkxdKvAIJMHiMqrvQujiS0NNIULS+BoyRwpRXWQEybJiV7hHJsQqWCkNl3fip5gFQ50sKYwkKceDBobU0VhGE3sy4lDKQVMBUPooAOw6Ft1BVgRCBG+yphXMqNS135OS29BH+6SlWUKvbtxIihaiYCWmhZIhAE3ZxEly2+loAoAosw9KVdl7Z4rkMssWkoDcW8McVaCC2iOi2BG7J1Num2/zLDkLmFtFLTUmtxnxmz5wugpVWURRNs9aWyMopCUHalpSXEGiGQJoq5tpt2X881SLFCCH3ARqediuKNVmVKFFWFajoaXQnBPDneLFjgVNmlirTV0gLLEgXDSEE+SijPcyb0fAFdulmCF3Xz+mg1V2ixppKa+YP8EEYnYKKilnGeTYHUYt3meRYmkscXJBFsvSD3EX6gwjw4Qt4oUP5/7L0HeCVnYf19ppfb1KVV2d7XXq+xva64F1zpYAyB0EOHEAIJOCEQSCAQaqim91BijDG4YGPAvW7vfbXSquu26TPfc96742+4aI3zZzGG6PWzj6yre6e8M3OlOfec84Ot1jHta9BEppedkTpMuQovKUGjCBn4MLhtiQWZSqZEcIssXGLlUIXFeHPkI6Hrje5VfwpSbAhHa8I+PkWG48SwcxC1DXGdoJW8mJugXoPCXk/PRaiaIpJaJ5SF7jubmy8hqfkw8xLKVV7bhDuxIlGDE2qQZfZTKsgBmKw4MMycEFv5OAVxgiYiyYFCAjZJtzk6RjVKmlB8hzwa8eESOwkTn0I53a4hwogdl4H4wIUuPx8x8qzvZLciHcK+i1C2IMv1huMvjhFEqojk+nTslilaE9Aiw3Eb0fI40WHnDNRrbqPqQpeFy5KRWkJB4noFsZaH5pchszhQJWhDhg0fVeH+5PuFL+AjvPZ1hUJfAl/iJxYyTNZ7xCEi0rgRwxKOUh9RneKtDJmwFt2G77v4xle/cCz+fJkds+OPMtJuvezIuu3SuO5M1Nv0Oc1U1OYIb/b1j7f89LHmkUIdsiIbxbLXl97y2GNZQedoNNfstjV3uT2eINRM1E3nINszyLgw6brZOcnOQbPgmN2O5rl9IutPCbHZbTmaaNZ8HI42xzNt+0zbki6jmRqc/X8xpxmScerey7oTm4nFzdubbk8qTtJt10zOze5P83YdzcWXnct0m7LnQfa4psvOkn6z8zVL350dzeMPIZL+qdx5f+oI7p9izo4VSfcPofe+//e89smel2NJF37S6bpZgY/jlNNfjMreCibHfSxonY+J6iie98ZnYfeOQUwPTyFUQhTVPE6YtwjteRNzWguiNH46rGCgcw708hBKsoalrQWs7O2Ea7PHD5h0yvjgq/8KO7YfxMe/8ENUEGHtwpXo6imgpWigt7MVQcVBvseG4iWoF4ThA8N7xjF3cT/i/Q4iMxZxP5JKPd5QS3T8yYjKAapVV0Q6W1vzqNRqGD08grxqi4L3p192JoBhfO3LP8KZJ69CTXfwzW/8B2zJRn++EwtLnTDyGv7uY5/Ap27+FfJFAzWvjDltXSLCu3X0IFxTwlA8jPFygKF6iF1Du/C+D3xMxLdG6+M4bfkKTOgVGPNacM8jW6DnZZQKJoLQxY8f+AVq0z7i2laBNVi/dy+GJ6YwHkwCkY5Jfxpf/tK38f4Pfwqn9A8AVQdjow7kIILpSLjshZdgcmpKUCfbYxnDI9PYMXYIIyMjmHKnsWHXBlCDO6Duw+GxOn56/S+wZMkSvPjCS3Ho8AQuPu0knHrCmeKGbtWq1fjJpvtQzhvYemAfzBzj0T4kJUZEIiSzV7IknD38/6gaQws0IfwtbG3D1sFdeOium/Hons2YtzCPloKJHYND2Lnx15gz0CPikFZiYnJqVMTmWi0Tk2MJ8pqKjvZW7Kruw4e++g386Fe3CJLjwt5ubBnagrZcO3J2Cyw6RNsNJPUApZYEn373uzAYjMEd0LBx716MTe2H3t+G6pgDLZcjgBReNSG6ActaeiAFEd54+YX4yVe+Dl1SYdiEILhI4gj1JMKmzdug0wWkx2hVTRhMyxYklMsONFuH5/mYlyf9UceePdvQM38Ai1sWYUlbP3bs34OzT1+Ll5//PCEsn7v2FHhmhKHBQeHQWrtmBXIJI2sh1i46BeX9B6FGDjoX9ovnE9YqazJCim68SabripRYxUbiedBtOoVE+FKc54qwvjW67hp0XrIyAoTsR0soQFGU0RGxl5AU24CPA1LgIaEry7Ch6aZwzwkILmOkJOgGmhDeEjqvzIbbiWX+dKVRfKFgxY4ziVALRklVXXQ9NkAZGmRCF0SMkoAMHZqkix4yjxbJhN10GhIzB8Wgm/WISEnKZhzDq3FbA/gSHXK0wvHYMfJN6i+FHzoPQ0G8VdnJxpikJAtSLgmwFDQowPH4iO46inMC8sF0NIVPusTo+goQRST7EvAhC5EhjioNroyZR+DLiOshdJmRSlt0fTKn6IWihE/0kdIdZwrnUtKASkghwoC4Dl+IPKInzqFfim44ha1kcF0Ki6QZk4oKhDEJu+xYMxAT/CDiyLrYbjr6KOQxYxwL+iopyxpCn27jAKFTF/utKHlELMIj+ZaiIQVLmfHdBIlmIKKYxx63MEaezll2LXoxDNlCUK0i9gnJ8BB5mugfJElYy9MF58KQVJiMDccVeHyjDhVIgY66G0OnhVLTUamyF1FGUqVAp4rjTMFIUkIRvdZpoCNdWabbkeeVJ4RWt0axkKIyzy8docGoOV2cjXPJqwVQ9AAVl/48SWy/YZBlIcMPDNHVGLk15AwNiZdSlht9jewfDESQnXPsQ2cE2I2gRi4kPY+IhOrYEJRtz3VhyQHqnsR0LRTLQBDLMHUfEV2aMVCPFYSku8s6jKAGTaM4zv5KitMSXFeCqRD00YBssLNRtdg1yPNBgRslMI28AF+QkhxJrDOQoFoxrLZWsY1qzoQX6kLY47XGmgRYgFHQheApy9wjit4KNNlHktSgWgUocQ05VYXLOKxqC6eqcNgafK/QICmMKueQp3tQsYByBNUO4PC6ViW0GyEEnkeKUfcScX1QrPZdlitSpKfLtg6zwFoOD3aRPYq8JulSJKlDRS6XF3F79nXymopYMaDQPWvw0wAEoYxaKIkqAVPyIcsK/DohJewa5UcRMqzWHHwSc0jfnh2z489gzPSHfeqeysZ1s0ALCm/ZWCUHY7rpstIIbNYRlgVTpI9TjKGbLSv2ZQcfT6O66XMYQaXA1+zu4siCQLJOw2wvX3Y9aew169ybydmV7iu3tflnFPia3WHpun7Lffb2v/sdQSt1/GWfl+1JTOc+HZz3VJw9musvjf4ejeybHZx/ilVZgY/bmd3H5g7GZmGXI43LMtbMn6WiZzpvdO9lI9NZyvBM8589H9Ljn93fNCadPofCZwqWmUngS9eb3Q8Kd83gmfR7Huf0eWnkOevSnKXvzo6ZxlNV4Duaa+uPLfA9EbHnic7ZsXQP/j4x64k62P43otj/FpZxz1Hm5Q+dh6NFfrMfkD1Z45iJfF/875/9zmPv/af3YNvgg1h23FwMh2URvdoyuhnf/eXDkHUZY+4kDpSHsftgBYEu4YwFy3Fi7zKMlg8LEMdgVEGOUShJxvHtq9DTbaO31IL//vm9eP4l52Hd1s1Y1DmAveWdIu7ZVWzFAzs2QZNVTO+sIKD1gzeSEdB+XFHEjgIlQVSOUTIsSLqEgm6JqNP0SB1qUYUJFbmChvFKBU5QxzgcHJgaQWtRx7+859/xhr99G37xP9/ABz/4ebzossuwfd9+lCQdQ1OjyA/kkLgxOksW/KkA81rmCIeCQrdVHCOv6sIV6FVdAQwYcScwf/EAXvKa52BZZz+ghzh48BAWFnqw8+EdmNfWiaW9c1GZ8rF9837okYpalSRHGT1zOzDHbhVl7EZioatgIe/lcfUbr0Rt3S44xVC4Uy47/zy86c1/hxUn9yGIQrSbOSye04FpM0KH3gJT0mHYKgrs09IKgBrhQx//Go4bOA5v/psX42d3/QJf/PlPMFadxG33348f3X0zpifGIE9PIQgCuIcOY+7AXOw+PCgcXLkWW7g++nq6BB+ShFcKUkabgXJ5WpxySQQc9/QT0d1uI1Ik/PymhzBvST8+/NlPo6ujHaNDh3H+6nPAFi5SRPva2tCqlwTIQLcT7N97EN60C1lmd5qPMaeOw7UaBub3ot2S0dmWx+IF/Rjo6cala85Cb2c/1u1Yh9HDLtbOn4/R4Qp+vX4HhvcdwurjutHWRbhFCMlNoOVkjExN4TcPbcJHf3Yn/u0TX8BAeyfiIEBHVwuUKMaa/vnI9XSj2FlAi1rCqrVnCRBGa7GEE05aiUKhA7unDqGtpRWvfNurYdVs7B/bh+1DO/GBj34a2w8fwOte/S7ctvkBTB4ex4333QlZUmFJeSEcbj84CMtgl6OOw84+BFYRrqwL8URm5xspM6S50hFFCEXCG3tFAEESS0NUr0OnoMEIq8nsIc1tFF0SaFKjE49EVTqqeE3q/BoEIsJKum6jRJ+ioC4ilLJC11YgqLiM4vp+XdBbEXqC8JkwpsfIPOmqUgzDJsE5EbRWirrsshNddRQe+Y4jBA4JBmmzqgI9YTehBFmLYekRdBG/pM04FP183A9CRRhBJqrWD0nVpcCoQ5NDKnoQfBK60VT20umwVAopMWJ2q7FbTw7FnJCCa4BgkhBJzLmLIImYcSzec0B3lMfocwKD0cuiJSKhOuj6Y+yY/YNFqJKLmKIv4+aEFjCCHJLOGyCusmvObAhDHt1UCsqkoeoSpNhBJEuwi3TaaUh8p9FrSIVI8mFYEUChjWRS0edniv6+hHZjYYDy4PtOQ1ClmEqXI12RZBnLMnJ6DjLnxAuEm1KRTLGPCsVEhaRWCVLIOYxF0DpSycilKdFpiKWcHUZ4KQBye+nATBwoal4InH7NgWyHcOsx6vUYkueImK5bJS+c0Ww+L4+QHN3QFeJOoiTwEgmSniCiMGapCEIftpVHRLHYjSBFiSCpU7A0LQOREwiSMSEwVIkDOQ8/ZL+gIXoLSbJtOPxCERf1ag0x0bBNMZdeROsmo+kqqC/FRgvqVQ+xST04gVemSCwLd66hkAZLF2Ug3mspAieyDiVyEftV8btF1whNieBrMmTfFZFxOh0ZVa6WXdFDyN83pBMLcrDrIDTy8ANGrDXohi/itbx+KlWeA9Tny8KpRgItKbsKIROhJ9x4vhdBM2RIzhgMfljiRahPTAkgCt277GaUEw+6qUMx8oKEKzojgwCapoloLTsGXYr1mo1ochw+gTIaISkEt5Cc7Ig+TlMORRyc7k4jiYWAyA8pNNODppZQLBE2EqEq5eA67NcMoEuREGVl9nKy25CXIXw4HmPKdfgTLhzug8lePxURCbo1Fx67DXUduWIDLhMpefiRhEQndVtCzmZ02YckzkUCn3j9a7BlB5bJ9xQbh8cowBoAHbGzY3Y8hUdK2k1vxPhHfha+kRXLsg4+CjnZDrjH+tw++hFxk5CKOmmkM413Zmmq6XoOHvj/b3SaoRwcFGxSMELWYcXXp4Jduq0Up5rBEVmxLRWXmim8zevP9g9mO+SywlBW8Gl2C2Z/xv/nfGXjxTM9t5ky3PxYOtJ5z3YAztSjx2U0d9vNtMyZgBzNz8s6D9M5y9JvuQ6ujz/PdiqmQmU2kpyKaGlvYzpPqWCbAmCORszNip/NQt/vG1mBNj2mj8WD6TzMHJts/LfZhZqec3+OkcvZ8X9z/KnO1WMpIh7Lffh9YtZTVaw92jw8UXGOz3u8yO+TfZ4cM5Hv1S+49Le+v/+em7D30QexaaiMaz//JfSUSijoqnD4WGajdT9kF18U4rRlC3HRyjOwYvUKbB/aJTqnDpUrSKoxhqtl+I4H02ABfYyrLzsP55+zCC/9m3ehp9iO1QNLsGBgGfYPTeGBbXsxVB6HmstDMRTkuDLelEUUFHLY/+gusW1Gq4ZaGMBwZTj5AJapIt+WQylvYXiiIkSCvu42RLw5S1SEDgQleF91CMMjU/jBzb8Apvfh0bu3YfP6vThsVNHSlkdhKsEla05AW0ePKCbP9+XQWrRxaPQweRzIJSVUnTpaWiwMVUewdv5yqDVgybyF2D02jHo1xLBThST7ME0VdTPARLmC5557IeZ0zIEb+1gwp1MIOgeGJjCwsAVzWzqh6Aq62rowpfjoVXtw85bbceLcFdg0uAtfu/EH+M8vfgTPOONqzG8poqi24Ff3boUJDdtGD2KqXkelzvL4GL4hoajZWH/9f2Pj4DbkNAPPfNGLENZChHEAX2bMEqh5ITbtPySiWicevxJ7hvdj4cJ5OHHBClSn6mhrsVBxKmjpLiLfkxNCX6QwICoh12qijhjfv/ln+Ot/eh/yOR1z7ATeZIAPv+sfsP/gbjiOj9vvvUPQIhVbQ85qwamrlqM9l8PkpI++eXOgMV7HSHN/EaquwHGqWNayUDiY9uzeD71mY3H3ANxAQuy5uOHmu3HZyadjIQbg1SNYOQOdUR7bto1j+75hyG2Mdspwp3yUExdW3kCLlUc+8jE9RUKtikPDY2hpb8Oy3gHI1TqMWMLkVBXr77wHXVorDN/Ats07EExNwjZyuH/rNpx+6hIsXjpPiD3c5te+7cWI9BgvePGzEE2PYVH3ACxbQ1uuADtHkIOMl11wLrRQgT8pY3DPCA7s3SE6xwitoOuMziyFsUJ2wFF20hR4IcVsX0RSZdMUUT2frraA8eOwQa6MIkgxb6AJyciJZUqmKUADQgizWuDTMUNxzy4giihpsZeNsUxbACL8gOeAJmK/FPPCuoeErpwY8JNAiKDstKPrTQAPKMYgROj4CHyKCqztUsHspc+esIhRPnJwEyFKsa+RYqIXsrOPHVyKEGVilxFkuhj1hnDE9xKHrwd0EUtUkBh0uMmCWMv+QV4XFI0CzmUSo+a68EDBLWKWFJqRE716LPtnj+GRnLFwUSmxBr9SR1CpiW2nk1PRGSdm5xujr6SGSPAjU9BMWbPHmHCklxCrRsMxR1efApi6BMOMELmOcDHFEfv66Hj0EEQKoiRArqiIx+mqg+/C0ALhrPO5nWYE2cqD5AsR4dYZm4xg0LFJBybhCGGji9El6ID7y7gyqb1OAFnJCXIx/Vp0XjGGTdEwSBrdghqPmy0hIpRD9RFQfKSNMKGTkQIwo8fTopOPUekocKFbKlSbBF8dptEQexkj57XO8jnbshGwj08JkNBRpoQw4ghSuQKd56BlIWRJnUJRT0XUmhPbw94+9tjFagKdjjtGhEl79iYF3ZsRcXbH8U05kC1EjJxS4CbJNo7h112xn4ZOQdQX0c4orAinpWrqMIp5ERXmsSMaIpJM1AIJBVlGUiyJ5VA8pPuSZFu+x0Fn/yP3RUVUoaBsIOQ8JAlCx4HEY2opIh4dMaaueOI6YFesJE1BdkaFkzaKphsgmkIexODymgyCGnEZSCQdmsVznueki7wQpwE5n0M9iaGZJnIqY7X8rZ0gthMkSSSEM396WvQ7Mt3OGDfN6FrsQLYIOdFFbJ0fuJBm7bo18eGMzOtZtRGTLE7DZugKYjOFylA3oLMvUXRwVhBMT6HqsTvUgV60UPeo7IcIvABerQEesfQEvhvDlAIEUQK1lWIv3c90Ezc+rJFzJSg8b1ATbnBebmo0Dl02hQM4imTU6wEUupQjvkdZQoClk7vm0BXKBLuPnEzqtgtNc4/Vny+zY3b80cYH3nX6b7ng6JCjK4pCS1Ywy4pUzXCMmfrwKJpQ6EuFmywAgo+lUVu6yBi9bRbxUuGQIhSfmxXS+HjzY8KRl6Hbpl11adw3KwRlBZ50e9N1ZoWsVNik4JMVgJqdgo/XoZcKc2JZR4Ahj/UXZkSjbAy12Xn3mEiWEaKaBa5027PHYKbnpnPRLPplxVJCJo42msXE9BzJOgGbl512HmZfmz1WQvg74vLka7K9ftlzIj2e2blNhdusWHy0kboJuR3NvYDp9mQFxGbxMD0vUucjr5fZMTv+kPGX0jf3+8YTFaHS+fjfQir+tw60vzSB/tonuD9Ptf0+Zp18Dzx6F05Zwzgr8M4PvAHDo5NYNtCN8044E9+49SeYrtahJcD4ULVBmLToPgKsVgmVSogLVq3Bpt37MK+7gNHhSfR2tSKme8AL4dd97BqfQnfeQmluEeVKBUZiCzHw7JNX4/M33gyv7sFoMfCmq56NllIO//TZr+O47h6Myw6qSYCg4sOvsscqhNpODwsQ10jIlKHWJHjsBYKMUmceruyjVy9h954x4erga0xbg+rJ0HISypUAZ85dgQ3OTpiShb8+71L8/NG7cOVZl+LOh+7Asy+4Eh/4xtdQmSxjft9C1CbHMDCnE9sO7oOThLBtE4tsC7trjohwLehYhB1bt8DVGp1WlbqPF16xFrc8uBXzFBuyXYIUuCjk8nho63bwlnNuTx9e9oar8el/vQ5GSxF7Rg5gbmsXhqbGcXypDR19S2E8ci9ua5UwIOUwSHKkbGDVScejGKm47aF7cerKNdiwbwvcSQcVz0NnLo+2tgE8/+ITcMZlr8SXPvD32DU9hfHRMg75E9DpjjIiRE4Cp+pCa7EQVDxoJR2nLj8edz7woBALn3XC04Rw8IqXXY4P/eAm3HnfBkRhKBx+cQC89a+fjx//6ld4wyVn4b1fvAHnnnMKDo84Atzy4U9/AK2lDhweGoSi+eJGvCtRUFEiuBMhFq3pweC+IeEA24saouEqbMUEdAmtRgl983JIajns3rMHLR06JoZruPzZp2PHpnH8ZuMjQrRYPjAH2wb34ZITT8K+/WPYMLwfWo8Gf9CDnpeEuDdVddGqtwB5H4XAgKz6KOQ6cGhqAvO7lmPP+Ga0G13iRvs1f/t3+Mdr34H+Yh6jwRR6i12oj9dQkUOcsXQl9o+NwDB1bBzfDXfIFe4ZQl5cKUbBzOHE40/CL+65tUG/LWqQCSfJa6Ljsasnh9ZAgb/iOFTqCaKqB3diTMAvWNavxJ4QFxj5lOUYvucLwqXsByJ6GdXpIDKEE1GVGXCNILO/zqvD0BnfpTNItO8hppOIHW5CwGIcju4aEkNZwcaOP1J4E4TsO2Mtlk4QAXvbIiSJJoSRmJFXYQ2jVSlCBArl9GTyew0KTwD270UNYjBv4gWMmSILo6UKb/55rkjwHZq4EiG00BkoYBOSLtxkCihiyg1wArv16NCjiYoiEyEUoQyDzrGA3WiAqQQQ9quQziIJvs+euRiaLgshTDENKELwk+HEigB4aNy2mMY6FQ7FQmiwNAqKLEKjS04SjjfG/UkxTQh1SGTRr+dxGyU60yIh8LNjLYoc0YvG1yQiUkmJln4yAir4fhRBLknwqyF0M4EPW7gZFUlBSOKsrsKtRlB1X0RDE3a1URDxI0EertcC2EWSSOkCtBElNSTcF50RUh9JqAoiLWo1BBR+2IkoxZAMQBHHlAAOXZB+EzoAlWqjZ43RTIOOTDoqiQZxEYQWjX2IFbrhyHm1ISdVqKaFyIkhkQRM8UuikzkWzjUpMSErAVwvRs4C6jX+tpCh6YEQFin08D2fnX4EQLPPMZZMqBrfv13INqO9qhCQGWPWlRAe+xR5DggfoQ8/Jmim8emVpfqC+svbN7pWHY89oSEMOgDtgqDcBmEEubUVEam7wu1K7EMMP1YQURhnKFoKEQi4iXwE1uRAoQuRZ7fHLj1dgJ0YB6+5ASy7JKLjpNZSbLWMBPVKBFuX4bF3EBAf6Ij9CALkchqChI41C2rCc5a/cyiEloQ7L+E1S1Gfjk/dRj6polJl714OBuEoniv6bTnXDopIwqr4veI7ESzbgFtxYbFCIJJgiqisI8AoMizoQRk1F5BaO5HUJmFSVEeAWqTDYNxdJ/BIF7+D1ZwKyaPQnBPxeS30UU9MWJoveghDJwIbCtzpGhSFXYMy1MQVnZU2r1Fdh5E4MOwcytVAOIZ53DW6Yq0WaF654SBV+DgpwbLoH2Q9gbhe2REYNb7KoSfgNV/+4ueOxZ8vs2N2/EkGhZPH66vjyHbFcWQ72SgWkXxKMSR9vPn5HDMJOs39cc0R2+zjFMGy9NZ02WlXXnab0mhtVuDJ9rBlR7ajrTle2jwvzZHW5vnhV84Fb0b5/3QnUsxq7qTLzk92ndlBZ2AaV27uF0znjkIUARHpOtLlZF2YR4skp0CPo904p7HlLLCk+efZbXki51C6/pk6C5tjxjMdA7pSH28MfnbtY/ud7ZZMv84UZc7Gkmc6H9N5mh2zY3bMjj9mR96rcP3vhW6kz/9Du/WORTffk97Jlwp8773u4zgwNQ6nEuPg3nFs3LUd+wbHMTlRxUi5Cqldg9GrwWphh1gEhQQ/ScbtDzyC4cok7t23H7vjMuatXIxTrroWQWgizpnoKpawePliLBhYhHlt87C0Yz5G6xV85kc3oZTToLgS8j1FfOPWm/Hp62/A/Lmt2DY8jOl6XXQzmRYdMCryJRsdUh7vfNXLcO0r3iicGzf+4Gc4ZfGAuAHvNfO4uPUMHDg4hoHOHF5zxRV49fMugUUHhqkAUzFaTBPv/din0Ol34Fuf/RFiJcRzz7gQE+4EnjZ/Ff79q9fh1KXL0NmSQwcTsNBQnmKnlY8ONY8W2cAjY5PCWcQC/53DO2GZOVhWDpaZx9K++ahFc7GsNB+rVp+ID37gk/jAh7+AB7fuQFtLHs++4hmwcz141zs/it3TY9gzvAdGBDhVH67rotTVhba++ei4/HLILN1XuoWj6Ktf+j7e8fp/wvzufnTYnThp2WIMjkzg+IUDrGmDqWuolA/jG9ffjE996B9w8hmn4sSlx6GehHjWSeehXp/CvN75aNdNFEokasa48GmnYlmpB+t2bBQF66om47aRzdhWm8I1//4ZeNUGAZFx1NAHcnMMzGnrwIoWC05YEs6gv33zv2J0bBjv+/d/wOL+Xgxu2ooDU8OYGgtQpJg3PoKJygRqSg27tx7GjtEh7B0+DO9gGc9++rkoMMJW8bH30AEc2FnBrkMHYZbaMK+zF2Oyj9tu3YyHd2xDQdHRZtvYenA/WlsLuHPTdkwLUEECzQkxv6sNl5x6LgY6uzEv3425C+ejEOegaiqmkhjzeuehVdHwr//2fiybOx9Dk0M4VB3Gjdd9WohCrfMH0Cp3IFA0eK0ypmpl/HrLZkx5LrYdHMQSqx9thSLajTwSTYOUSLjmH16GBzY8gIKkYP7chSihiFUD87C8rwdB6KEy5mL94GEMPXyviD0L4KikCaFJJWlXIllW50kGP/Agk6ZLQUVThCuHsU92mdHtFymEH1D8InxDRsB+Nwo7dLvyK+nDVI/iUMRnCcCIGJ3TGLWMYdAWyB4/gn7VGDFFOa4/ZMk/+9K4T3SXNbrr6LyjgseYNePCzIXSreeHhtDbGDNlBRs1MxJoY80UsWFBHPAl6LLbgGdQGCSQwgf88hRCqo4KHUo6dJNuMgITIuEgEqKVcBZ6CH264VTk2JcIRihJag1FZxshG1RwHFKIVU2IFpFmwY9CIdrJMsVP8htCOJEKRQqRkxnHpZuP/1ThElPCSMh0AqQQkCwMJFRNFF2IuXQJ83gREsB99H0P3BExH9x3jwAQ0r8ZZc3BdyhSKsSYighw7MvwI65XEwALmdFkhYATTTgwycUg8ESxEph6jNgvwg9iuHFNxEypxtKJy0goo+4BHZVSCFvncXZEz59EiETECDXFbEVANOKkBrgUmGLYeZ5npnCpKSxYlCyoWghdr0AKeYw0EVOWwhhetSrEMUbCORlyIsEX5wHPlzqCuOHYjEjLRQBdDkS1mlrUYRkU+uKGmBjoDNCLmDUdhoFlgK9Q2ZHInk89jzBWoCMQwiOVILpGczahLYHoP6xHNmQ9J9ZPaImpaNBsAyjkyfFArKpCAJXcCjpaFITsyOM5qZMmLEMz6JYLxdwoFgVlH6HvQQ1DyD49oSYSTYci+SKKTrCKqajQKU4l00g8VbjVuIx8yYRvUFxPELIv0FRF56Bu2ahRrDcsnqECxCJi2roOLaxDTlzkc5QpCcDQ0E4qdl2GxQ8DYkJMICKvwnUnq9AiB4FCWrEMwyQ0htvF94sIphogiVxojL2yd9Mvw+FHCwXO6zhU7mviC3qtTqdeHMJgd6UhC+K1YcsIKfpHdYT1CmRWAWgRfB7A+iRUKYI75bDSVoBSWC0gKwZMWRWuWgJK3NBEhfocPwzQJUFx1lo6Yes+EkbKDROKYkI3TMSeL8R/l25S1TwS/5Zh8W2C7xcNTPLsmB1/toOOPoon/EchhAJR83isx63J9UeBLyucpS6xrOMsS/BNRZNslDMbZ806xlI3V7ZbjQJaOrLbkhWCUsHvaIJe80jjuun2ZbclO1JhKitONZN1OVLRLEvrbe4sTF1tjwfBuFO75nf6+JpjylwXRa1mB2LzY781/5nORHf/68XXbFQ5XUaWUJx1JDZHvFMH4Uzk2ua+wSzIYybxMfsvXX729b9vfGb6E489P7tNWedm8zrT5/DcyvY7cqTLmHXzzY4/1XiiQsrs+PN0aV6bEdr+N1TdxxPonojj8cn84OLYdfJ98zN469tfjYfv+hUiwgniGsYjB9f/6jew7Uavkrihkho3H4muQC3ZCHUVdoeNQqcJXVGxpLtTCFLfvOU2fOTjr8L6gzvR39WKeXNa8M6//xDe8Mr34N3v/ijCQoQp30fsJGgvtOPUk5ehsm8ax83rxomLFmBiso72zha8/eoXoUcqYU3nAnR1FMVN0bhfwXXf/CG+98vr0Z9rxQ2/+TIOTFSxpLcH//r612Crvx2yoWLK9bFjaBv2rd+HH37lJgwPTjVuXrUY13/to3jP21+Dj3/xX/CTu+/Cw1vX439u/bkocZdtFXt2D+LlV12FBe29GKuPo7O1BaGpwrZtTJXriKcD2JaJUtSDpX2dyLWY8AIHr7/mGizo6cIDG2/HqlVL8et7H8Hdd3wZH37vB1BXA0w5NTy4ZRdGRnbiTc+/HMcvmQc10bC0txe+X8G5J52A+3Zuw613/gD3rXsEz7z4POyZ3AZLz+Gt73o5/uf7/4Xv/PQnuOrM03HjnY/g2WeejX2DFeQsA+NTU8j15xHLGh7YuRP1MMZDm7eiszWHn6+/D30987DM7sHll1+Il15zFS5acy5cKJiIqtATBecfvwYGS9SnfWzaewjl8SqmJEZdJUitsqDuXr3mTCE03LtnEg9t3YVzTjkT//zuNyGpJ/CiBC+9+hpM5wKsPflETId17B88BD+OMNDdidOXrcLKVf3QahKSLgqiCm7c/AC6OzrgOAH6+/pw/IoVSAIH+0b2Ycuuw7h4+UkY6GyQIBUpwmS9LPqvenvaYeV1HKpNYklxDgJZxt7xSfz07juxfcsghmrjGB3Zj8PONJN1mC7XMDh1ABNVB8994TOwbc9BrFy2FP3tLXikPIzi3Basf/RRTGEC48OjKNcdnHXCaWhtaUPdrYh46vD0JIodrZg7tx+B3+jN+9w/fRZmjtHjToyND+J73/w+Tly7BuMTNXGusreK8cR6uQ7eU1NM0gsm5DCC5zWgAew84/dyIiP2AvgOHWjKEdGNQnooABtU0yg8OC5Fbw2qRmnXQOS6kEiy1LVGZxv7+uhiIwCTcUWKGjGJl4rocqMGRbcfYQ10u9HppNG+x5gj4+Ykn2oJ2PZGQYcxVhI+FYoDkQpVZ8SYbz7hkZ65oCG+eSEMjfAGADkTYaAgdAnxUEWHXxRFSCwbpmEICq8k+Yj9CCGhGYQ7KCZUikgkmioEcuSEq4udX5qiCUGLj3txAC1SIDO26MeQggB6WEUcRkJ8oiSYsyPolg7TyiEkcESnmBkJGAIz0AQQUMyinhk3bHXQrZxwPNIcLcUeFJkEYEl0q1FoYf5SyeeQmKYg00pmJKoFAkIeBC22CpVij0bYQARN9aHQSQUTceAg5raSFhyp0HKE2LiCjsvN82sUodg26MLI2yD2NqB7lm5CpisNUq59EBbM8oJYKgq3VcDOOcJBAkZMI0HCVowi9w6JYsPSVTg1H0rkQdUsOC6vI0aOFThhK1StgBrJ4ozKspMvJhGVbi8FQZ3djRQiIwG3STQfMTvnFA2uE8C3WkTvnqJqkMYnUQ880GjI7VEpRCcawiSBxTM5JE3FE05VflogeyTUmnBhCkeq5DEWyo62GEmkCocbhebQq7J5UMSJA0ZGTR3V6Uj01dF5GtAFqcoYLRsw/GnuAQLXQKzZYLeElmPfXADR4BcaMBUZPgUnVgkkjiAaO4RU8LzVbcAoIqjxejKFSGlQQKcbklFlz4EceQgmQtE/qBia6IJUGUu1gLAO6IYqRHQv8SGTaE3HqkRvnQXZrWLC82Ax2h1T3jTh1CIoOU1Ec+vVuugnzKMmoq6ca9/1oCV0PfJ3rwKlmIdGOjcYy5ZE3x9j4HQF+zrp2ToMiq2mKmom3ViFSReoN4moRniODEfJi+uPcCS6+WyJoq0BKYlhqhFil7/vXZhxXRCnjbwBP9HFfDFqr8vs05QFFEi4HcvTDUHdJT7Zg1ObRuxVGp2hFINzBgLXFx/40YXo+Tw/pMaHG7NjdvwFCX4UptL+t5mEm+xIhRHeVKSda9k+t1QoaoZ78N+msVN/S8RJBahmaAYHn8d1paKUeOyIWJXCH1IhKKWhZl2F6fY09+vRBZh97eOJSmnUNRXEKFI2QyqaYRVZF95jItmRyCi/Nrv70uc0i278GaEX6Ug777LLbRam+DVdztEIw+lreIzSfcvSfPmP4mr2uGadbtl5yh6zZsdj+pqs8JsKfTOJps0dhOnrj9YtmI60MzAFxmRF4XR7mrczFXaz51bzmMkBODtmx5Mx/tRU3D/X8WTBJY7W65eKf+9/kiEXHH+xcd03vet1GPbGRASnICsoRy7E/dikD6OLDgbGvSTIORVqSPeRhNjxYRYZL2KcLYHreghZWB7GIlboVXxh6qEUee6qFZBGalAXlJA3cli3fhe6WrpwuDoJJ6rjhZc+A5t27MS6A7sgTQWYGKlA6THRnSthtFzGys552D6xD5Zt4i3P/2v86Jc3oZhvRb1cwebdO5FvyaPmesIV1m62Qm6PMHpwEnIg471/+zeoTlbxlZ99H3sOTcCUVDi6L6iCuUjDsnlLUI1dvO2aZ+HV7/wE/uu9r8XOgyP49s9vEVHfUxadgDOOm4e7t2zCr/fvwnyrHXPb+/Gq178Cr3ntG1DUbXT0dMJVYpx/1sX4+S0/xsHqGLRAwnFPW43Ne7ahPhnixCUDgh665dBO9OQ60Nvag0iL8dC2LThu8WL05XuwvzKG1o4ubN7+MHxHhp9MI67qaCtpKBTbMX/BStz/4P2ohBPotPPo7+7D8ctX4N71d2B02sF02cOZa5fhp7evQ393EYcPu7jwguV49NHd6O5sx6knrkFtwoWiqfjZfXcyTwdLVtFf7MLeySmsWdaHXz68UXQenn3CSbh//QYhqtBJctWZZ2Di8DAcuux0DT+79z4MzO/HpSeuxedv/B8UVQPPOfc83PbIfZio0dEioxY5WNnShxHU4I0E6O7KY/foEFraCphXmo9DI/sx6TsIlRi18TqWzF2N553Wirt3jeORLfuE08S2LGixDV3yoBRaMD09DSOR4MUOJiJX3KijHovCfgpEOdtElf1pEtCb60BLdwlXnrMCO3dP4fYN65GPFVx+8WV4/jWvwEvedY14XmVwGnZ3EVN7JtHaXhLR4V2H9goXqSTpmFvMoZKEmJ6s4dTVq7Bxzw4BtrB1G7KlY2x0BHqQYEX3Ylz7sf/Es154GcIc0GOWhGtR2J0UCUsvvgwTgxNIJsvCZccCO5lfZVJfaRJjf5smxD6d0dugES9l5x4vJgFCkRJ4MTuvEurVSALSS9knRp2uAX4AKaSUbWRLdIvFKuOILL43hNhE1USO6M4iCIZUT7pqDER+HZJuik5MyaFzi2Ij3W6MBivC1aeksAuN0UV28snQNQqTsjjmsawjiV0R+SZkwUkoSDbcfoYdw68wzmzAc0NokSecdSQau0Ei3n8iklhlSWw3H9Pp7tNUeD4jy43ULkEGesEQMUgKFCT2xpELhcAL8c4oi2sLDgVMDR7oUqVw5QpHJZ2OFEQpnGm6Koi2CucokkS3GZ16ShIKh6Cq6fDZo0hScUS3JMWLmKwXIfJopt3otJN1xG5ZuPMcRlsjH5qlwCWNVoAfVMh2grgMKLlGVyFdl2GoIYolFIqSoJa6biB6EGOZQBMZej4Hv+4IIZLirRNrsKUQSSQJgIrKKCXFHYq3rDNQFfge3XyM0krw3AhGiceWcU2SV+l0VEV3Jk1+dZJ/qbeoJjyKSnSMmhrCMIIiFRC4jG/KUNUEgRdD1xinptuQ/YuMrEpQTRKQeQJqDXckU8UekDfp5PRRq7qQLDrzJES+BEUhjESDZEvQHUJT2BdoIgzLQmBTvBpg8/dODNkuCLAOGyZRrUHP2XCdOiTTgskorsCquJCp5ssq4kRCHNVhspeSMBaN11ajY0/N6QjomOYc8lpQKBYCsS5BTSLEAQnIPsKaBLuN5GrAo5hXpdM1hOuGMIqtCJxp0WcY+TXEkgTbUuFSnFdIma6DgX52RbJTtCTmgnRlOlNLiIW4zTg5oOWKiKIaVXfoCiO5FNwSqAnJzVQOfYR19q2q4BtBFOiw9ABmyUK97EOKXRGL5fVfq/McU2BYCkK6CHMlJG4C1aJrTkJYV1Fs4fnlCBcigSKWZYlzm115FAhVxROVDJEgCDMCHkM1GqK2qjlCHK87OpS8irDii2g247chadtEYyk6As+HVbThlacRch1mLIArMkEiYYIgySNn+OKYf/Nrnz8Wf77MjtnxlIrwNoMmZhoUhSisZAUnvi6N784UiZ3JIZf2yKXx1Oxys2Je6nxLxaVsnJTPu+ZVb8W3r/v4b3XBpT/jY1xuNn7aHKNNR7ofM0WUmyOkM8V60+3Pvq55+dl4Mbctu85shPVo0eHm7cruEwdfx5u9VLxK9zOdg3Tf08h1+pxsrDU9XjNtW1ZEzW5r83YcLcqbjU8fTUQ7WiyarlPSh7Px3fScbe4+bN6vmfYh+7PstjUvp1k0nB2z4//6oNPwL0mIpDj3xwZyvOpxYrmPF6N9InHe3zeOtvz/l/1+0uO6dqiLWJjmSyhLpAzq0MQdNYW+CCe1zhXF/brHEvAYcD3hLEAUwjIMRJ6OnG6jraUg6KhSkqC9Iw/oMlqLBdy+YRPuGNqHySkXY2M1TDgelszrQd40saZ/Ie685R4cHBwS5EonChCWZBg9FvaNjcCdcPHojm3IqyVMVWv40U9/ggNDo9i6YQ8CTUF/Ww+WtS/CF9/wXrSS8uj7OL53EUwph31jY9iwfQ9+cdf9wo33qquewzsYqL6Ez7/jzXjTS1+AzaM7cWBwPz774xvx9FOXY9KLsHN6DH/13OfjrKediiCuYJMfoKNlAB96wxvgyB7u37YFd910M+yODlShYjr2MHzgMJ5xxZXo7u8T7iXGuO69Zx0hiJA0QHVVHDi0D21yCX0tC7D90F4YhEToGlpMHbc+ci82bNuFoV2bgQrQ096CiREHulGE1daBqalp3Pfw/ehryaM67aOzqxUOQvziNw9g34EKytUIgZfgvvu2CwGny+jBkr452PXIsABHTB2axHdu+il+s3MzNm/YCj8IsWrxfHQvbMNg/TD8sAbDKGF1f5+ApDy4dyMuOeMczG1pFxVvv9ywCWNjDvbu3oTtew7i5KXHY2h6FF/77xvhezHaC3nc9tDDAuZw8nHLsWzOUpy8eCVyHe3IGyYm5TIiNcac7jk4YckSrN+3BSsXLRREyxJJqKYmesFuf3RMAE6Kho6F/XPhOTHa9Tx6+woYnRjGZK2KQ9OjqAQx1LoKvYVRPzqA6HiS8fLnXoWrL7ocZ61Yg4VzOzDuHMaOvePQYxs+PAyPjeHOB++kEoTQC+GVqyICGdQdyJqEQmsOEkvqNQUDLd0odeRRV4CBnn4s6euFXSihXo/wgosvRJuZxyc+8kWcf9zp+Pa3b8D2Cb5h1/CtV/49Lj7hRDheHbahwNIMrO3rQ//0JPKtrQJcwCgq6bWQSZ4lTIFhR1mIEIQ4hIFHL12jO48F+CTGWozpsr8uBBvHGNEV0ALW/+s6FJ2OJV63MkLFFgKQsPSpBhRGbSn4KKEQoJAEUHX2v3miKyumG02OxY286lOEYZ9eIFyEkUQnkQQ19IXAQycvu+YIH4gZKWdclFALk1DUOiI3hKea8FVSSGPxM1JAKdqwxJ8OJRMOYtJCLVWU/1NcCkMfCYELsoSArmHGfdkIKIx0JmJSRAsGeLD9OjvdErFsapuMTwvYBHvJzAQaaa+miZBCrYAxsMdPgZmwt5AAWwl6Lo+EvXPcL+6fpjSAFLrgNTfeYmPGL1WYGsERBNDEDfiF7MMwuV4Pieci9soCIsF4Ih1SdJW5VUZ1SQG2RVTX90xIBt2WpMZafHsUsVyJ1HBfFRRkQ1KOUFTZDCfDLdeFwElwReKToBohjCgIJULYIp1ZJKQ9wkIIUKgLwZHAC69OJ6CFuK4grjkikh8zQumURTzYkUhIJkgkhhxFIvKpsVvSJW2ZonkdeUOGxkg1facW+/Y0eKEM2cgJJyX1ZxLI2eHH7lHh8uIHQHSZMdYUA6bBrkaZBCQYfg2hT1qwDslLEEQy9GIBKjsEFV10RiZ2QQhXsm4iqPuIqnVBeFXzKhQlgkXSs19HlcJe4Ao6rZYzRPRXsk0olgUnkoXWnXiNWGigAm4lRkTICSO5dFnK1MSprkdwWSSosNPPgtFqIqzRDylBDihsquJ6ATsZJQqwMtTQEa5KNaFCajPhDVPxoTOOT2SxrIg5cChO8xyPLJiyL64vOnFB11/igHhjX1XhMeru1mByrZouegrZYRiTgeHXhXOWlN9YDlEZq0Lj+yVF3CBGre5BpbvXalw3PF50XLMb0HPoQvRhalVBKGZZpsJrwQ2EE48SvldnU6yERGCuGa+l205FzJi9WxWgGH4YUHNJ1QUkL4BRMOEy6h/JSLxIXIORw78LYvi1ioB2sCvTcRNIvoeQ7n+N51sNYcQPZRrnx+yYHX9pIwU3pI6rrNiR/n/q0mseqbBE4YTOOt5UzCQAZV1pKbgiu1zh6KIAdgRmkXXK0YW3quO+/58++9GPCOFnppG6/dLnZ2OzzYAODgqOFHSanWTidUfpnss6z9LtP5p49VtuuI9+5DHnXXY7ssCP7M+y7rmZnIcppZixa97QZem4HKn4mApf6U1jNiKbRlZnikPPJH4dbTR33DVHnGean9Qh2bzdPF4zxXwp7mWBHNl4eOrcS0XS7DnYDJHJ/izd92ZK8uz4yx7/VwAZx2KkAs+fg8D3v3HTPRnE3XlNH0I9URfeHyrwPd7yud/ZeTqWDsRj5uS74gXPhGFKSFrpYOFNJ+CN+YiCGG2dOdScAJcsWYifbd4l+rCsnIZiZGHu3BZsPDSGkqIjHxjoac1hbHwUXe15PHRgCGv65whh7oFDg4L4eO7qE1HSDdy/fzN6c32Q1RBnn3Y6tmzfjtbuEr51w82w5xTRwYYjKUJ5OsBHn3823v/zh1AlQfCwjzNPPxX3P3Qfnnv5Jdi0Zyei0MOufaPI6wZWLVmOkcogDh4awaVrnoa71+2E3Wph/Z6dUDUJhqvg9JNPxM4de3DC8YtRUUPcv3UdWqR22JqBjryKt77sGhwYGcF7v/BVzF+wEP/5L/8l5uhf3vUWjIwPA7oJzwlQIIW2FuDUJQsxWq/jojNOx0e/8mX0dHRhy8FdMEk6NYH+tn7UPB/tkDGhOVjSuQChL2H/yH7U4jLUyIZlleA64wjlRJB2F3W3Ye+Qg13Du9Ceb0FX/xwc2rMDx61ag527dmPEL2PA7MDOsb3otFrx7jdejYfXDeL+bQ+h2NuCe365Aav6B9DR24aS0obudhO/uX8jYpsROh/T1TJedNGF+P4vbocfhzh53olYMJDDD+7+NfoG+rBvx2FM16oi+hX6dNEk6C32wCzomNPZjn0jhzC/uwdTw4dFTG1CKaOt1IqBYjce2bkVZc+BpCt4xuq1ePTAdnTkO7Fs7fH4yU9+DDVSsWbpPCHY3Ld+PfTIQGveRqxHKCglSAUbnYqGSjiOLXsOwbZzCJSQlfQY9UKEfoy+9hZMhQ5a5xQxMRKgsm8CicVoaoznPuMZ+P6NN4mIKN1W5zyNf6Qyeqfj2Zc/A/fffQdWn3gC3vu1zyOqkyfBCHeCk5atQqmtHffe9TDm93dh34FxzOtsx4a9e4VTlHFoLYnBijJSKWNdgyXF6Cx0o644sBITY/UJLO/pw/rdBzHQ24GDEyOiV03PaXjPX7+OuUx8bt0WhOUEzui06MeiOEW3IAmqicN4q4SEnWKqAolONbrxIh+stpJZ5K/pQmijuBQzahgGgprMi5binWTJ0BiVFSI8o5iyiAyzX81LKOR4jTgwibRhICAg7OZjXDQgSTMKRISYXW10CVIAFEBfTRLunxgeVJlONNHABsX34CYm8oYPN2ImWYVqaPCrFEolQRym4EExi6ImhZiE8WSSetkRSFiEFAmBNfAogLFvL0JCwiyFv4BdYyoUM4bkxYg0U8T9FM9FQIGFJkfqEiHgMtosy8hpshBXaIaiUZKiJCVRwSOhyKGzd45RTDo+dSGqEujB6CyVH4p6UUgohgdVbYiYih4AgnxLV5cnOgvNgo3IPeJY1hpCKh1tlh2K9wg6H3VLg0JLmGIgpLtPNpGEjMayC44EV1PUIIR+HYkfi+hzviUHpxJCI8ncjxqddaEnOtUoIhFSoVutCKs1eDHBQirCuoRQ1qFpJCEHYn4Z4aawxh2LE9KKXRhWriEeeVUkeh5yQJ9jIoQr9nQy2up5jrheEFP0cSGZtpgrOn8jkfemk1CDysgr6apHuv1kdsLR8U1tmXAHk4APisURKnSfeoClJXAVuuRiGHGduhko+eoELMUG5IQ04EjAXgRl10uEW1NFXXywFMrszgtQDyIYmgWPsIcoEFFa15dRKJjwA8aBc+K8YBehqSRC1KVgTBqtbpqiI5E1lapOkU+HTDeqFyBSLGiKK9yLgc/P0RTIige3lgjnJoExJcUH4ddAgXWHCKo8dgokwmW43TkDoVdDFGrQ2bWZM+AKKIiCQE5Q1BPh/COoRhME+UYE2KR8nC8hdugwZK+eBDlyUSjkMF3xYAk3bSJcubymGA+u8zozGP81oPkVuJoJza9C0iwhuIWJJOLaimrB8R1xbQahhpwuC8JuQHCPxsixKZz4dIVq4pOpCJphIalOCjEvNizxqWJRqqOq5EWMG24AegDZexr6hJhQuNSQNyU41QCy2XiP8XwXqpGHzLg6nf9KiLpj4DvfnHV3zI6/bCBHc/xyJmdZ+rxmeEYqpFFcyjqpZgJRpMtORbxmGmp2G9LRvC1Z59/jgSOaR+poa47cZp10zU7A7Lpncio2AzYoHFJIYAQ2Ow+pm4+D60h/3jyyUdqjuQyzgJLmcbTj1xybnWnf09c1r6/ZbZjOUdYRSOEx7SfM0oLT0ewafbzjnZ0Lxst5nlKUTYEbzeP3iZHZbW92Jc7kRnyqReFmx7EdxwJIMDv+fyGQH7w8FeZz9rge+/GkO/n8mgs9n4dSYSuSBFVSkesyQczgXDOPNe090OQYi1pKUGwJfhhhTm8OY1OOiC0tau/GgoEW5HQgly9i48gwpip1FDUFPQULKhScsKAfv1z/MN74zn/F0EgZC3tKuOqM4/CNn1yP/UOH4FV9XHDc0yBN1aAGJhwvQr3q4n92TGJsagpJPRCxv227duD8tSfi57fcAd+PsH37MNqKOQxOjeGBjQ+jqNk4bu58/GbjVnz2um9gulYWN5fsiKopPu7Y+AgqkYO1C0/HbdffjeouF9c87yX4r098BbsHD+Hf/uvb+OU960RPHAW+V771Bdh4/49x2UVnoaLW8eG3vQkLV83Dmq45yGlF/GbTbtSnXbSWNCyY14+6H+A5l12M45YuRVeuA27NQbGkYVoPMDI8js27d2HL4A688Pkvw5zifMwrLYbsTGNeWx9OX3Uh7EDC3Zs2YXBkCMVFrZhyprG/egA9c+Zhx+bNkG0ZSa2OnCnD1k0x3x//+k+xd+8mfPB1/4L5ucWwcjb0WMKhPWMYPLwXBybHMBVUUKtX4UU+Tl1wJr58611YMLcT42M13LHuXnzhxltFYfrggWHk2lTIZAe4dC0lAgxRN6soj5dRkA18/PV/g427tyOnd4lOPzWRUS5XsL0yKFx1Xt3HBWvOwOpViyB7BrYf3I1f3nxbo5eswMopE4fHRtFmt4puLYpziqzj8ktOwXEdveju7kGdnVG6ju99+HqoHnC4GsCWTUH7THQJtYkAc5I87DDBKat7uZVi/PDmn4tIYkJBTosx4k/joV0bIE0PYcF8C3/1lrdhycIiVnQNQC4pWNTbj2Ihj4nKFPZs2Y6+lm74noy6X8Ou0UPIFzRMTI2io2Cjr7tHRFkXze/HfBKkJRlD7hj6egawduVyQYjeMj6IXE7B0MgoFvd2NpycTowv//d3cerF12A5i8tsE3JOEzfUFC5I+gw9Ol8UaDIJpI3YKIUhRIxesuyeIoMMWbjECCwwRGcYCa8KO64oJti6WKZDei9ziDrjuZEAWhDswZv+RMuLPjC6AxsxYAjaq5x4MDUXKuOcvNB482+o0CkQygp8CorsGZRVJIQ70GtEfcS0oasRmIyUKEiSylonEMUQYiWFNUZL6cRi32fsUb6REBEe4imi+47ikSQ4taGIKnL/uY9xSDKFIki7JMWy746xxaDmCHdh4NRFRDWps+vLg1m0BRCIPXzUbtkLKMsazFhCTGgCJRiKFZqOgL2E7DFkpxzJn9wGlcThEHV2CbKbjsIPQRNEJ3CuKNPE9FeSvsBlG8IRS2GTajcFRJlk3TAkohiGroseOt9XxPyH04Dr1oWgI5FmTEdcGIiqA2Z+Fd2Godtwqx50dtCx/0xuiLSh1golKSDwSFiW4DOmLTPWfUR0plMymEbi+oIazag1+9vYoSqrtgA2UHSjeTSWKLaagkYbU7jj+SITskHFLYBNIZmuPjOGYumwEcF3FEFNVgJfRMkRM/rLY+wL4jrBKW5iQLZboFl03NE+5yCIPFTrinBvMTpK0VZi7JWORstCIhlQKXiyZ5Gqe7FBiFX8EFGd9OkQSTwFSc8hoI2MYjA75GIW9bnQ5FCAJnjemYwBB3XhvEsiB5bkiHmu07WpxKIHMyc3HHxyEEIrkl5sQPYZE270AFIEp9GOsemYwq8EuD7BIQkUzYBlmAjzecSeigSe2EbJV6C3akJE5EUR1Uih16HFFSiKhUQxYOcsaLYCXY3h1FlpQSozr/OG8MjuRugaPH6YoDWuF00jsCXBtENoiiLc4YnB9wT2d1J4dKGruhAn6byPcgWoUYxAthEEvG7ZoUmwT1E4PRn/Tjx2esrwXF+szywWxAc5wdSEuJ4IU2E0md2N1XIdoZKDni/A4HM1BbVEg8FORF6HpDMrOgyJLuMW6nnCMVudqkPNM+odC6GSUCiZLkmK/TRMii7HY/L55OyYHU+5MRPttNmBlXboZZ8jHm8SAFP32EzLyoIYUkCCcFGl3XVN/XhZJxhvHpudYqnzj4+n4AhuZ7qtWfBEdmQ78poBEFnxLbv+7H429+Q1Ayb4c95oZufisZ7CjLPjaKJkOjcpKCQVptIOvnQ9XP5M0JHstmSdeFmBL9sFmD2WzQ7CdB+b3XAzbX8KIMl2IXLw/ynOZech3Z6Z9p3OxPTYMaZLgY+DX1PgRgqQ4b/mLsbU1Zd28KWPZ6EczdvR7KScHX/5408lSP0lugjp8nsqCHyc2+btmMmpdqzca4zVPt54/5+gp+9/M4719h0zka+zVcN/vPs9ePal52HZypOQMwzkLFPE23hj8PChQ7hhyy7sDieFC4U3WnUvwGilAhYXlUwFE1UX/BFvz1d3z8OZc+fy/hyDI3XopoZNE8MYaC3h3//lH7GgqwdLj1uISpTHdOBiXnsPDN1AR0ceqxctwWTOQyFU0NfWii2bt6EUF0W3kmQBC1cuhFcuo7VYxPb9e/G0k5ZjcGoC8zv7cMlZp+J+CjXtnXjmFWfg6pdfibOOXwM7r6HUquKKs9fimWvXiNjo2mdfidPXLsNV5zwdF51/Gf7jn9+Jy885DzVPxq+2bsCLL7oAX/vcZ9GmzsHg/hFMlIcFJOLT3/gK7t+1Hmdeeh76+nqwd/AAVKOM7lPOQt2rQ1N1bNywE3YbW/Ij1MIaDo+WEXguXvy8v4Jt5BFJMj79vU8IwWqwvh2eUcBQbQKPbv8F5i6ag5OOPx2K5aN2uAKXrpyyj8HBUfiyhnntCxBoEi6+ZC10Trii4NR5OWw+OI6v/PT7eGDjA4iVAOOBj7beLszvnYf71+/AZK2O3jlFFOICzCjGqvYW3H3PdiEgPfO809DekcM5q05FfToUnYwCUWDEkFtUtJUKmN85F5rJOF0F//rjb1PDwLaR3fj4v34WfW0LYCQW2sM8nn3uRTh+0Xxs27EVU5MTGInHoNnESEbIlwqYOlSF7mm45LTzcPZpK3Dh6WeiLvtwxh3kzTzu2fEo9hzcifndbYAf49e7b8PxC5bhnFNORUj4QLGAocNldC1vw7DqYbJcxagFKCzDz2kolOyGI4vxzVhCxSnDLuaxLZqGVw1RvnsD7rlnB6oEUtRjHJocwlTVQz600NE+F7IRQrFDIdC98JIrYOXzkNUczNiGQjFHlnB4eAoj5TLmdPchZ+TxtNUrcdumLVjeOgdxhQRYwFY0rOlbAb2kiVjyc9Y+A9/72kdxyurzocguZEMTN73smxOTTdNWoMGnyyuMYLFrK/Kgm3TBxYgo2ii6iLImdN5RvHB9qCScerGI6tJhRcEOIWN1RPa60G1SdiPRz5fINpQogKm7sC0FURLBY1ecRIeNgoDUV5b8U72js8qNkRi6EAwJimDPmKQyEmuIGKtw43m+EN/UnNWI7LLoX6H7KUFCSq8C4cgSnWqkmNJhyN4xgiwUdkJSHaSASRklhk+HIAUJ1YZPNSZUhEgSuKHo/1PoGtNNARRRbAMaSxklVYijfq0u5ogrZZcgrVyhFIiIM+eauV+VEBDOCwEldEQGdQGqUOhsCn0hWHC7KGZSGKE4xe48LVYFVTk54lbi+iW/DsPQxTIZl5QVOg5JTpWgsmeQRFsKiJImBDe1YEGhK5HHjMeQEA07B9uiGCohTCguQjjyhPBLWrBCrYyQBDrZ6ggJx6BYQ1hGoCImDpXitwLYhgYll4ek2SiYIYJARhi6iBiBZjwcJCWzn47HPqDGI5yKiaJBcqtQY1X0KkJmUJUdfA0oTK0yDcVUUa9RICMEJGiAP5h7jjUh2siqCkuNkLh1QQ6my9QzuCyCVwIYjKOy65Vlr1IgHGioe7Al/t4wIesNR5nuRZAiDREJtUZRhKatXEEIhnSdcnsSOiMTCYFsChGWcAvZzME0YtHRyc5KNUxQDy3RY6cmKup1dkEWEBPvyriqocOrJoiqhKgwMk/BnRRiE+WA3XoWZD9BSPer5qIexFAMCbbuQdNq4jgTJuP6LhJTEfCLgFRpw0NiFYUbPpQ1+EoMv15D1Q1R9yUhXLMbky7NoF5tiMa8jo0QjscPNmS4dLQW2+A7PtR8K6QjnZOCmF2le1KCZBZhlkoCiKESjOJ6UFwXsRPAUAMYRgJN00VaPwonoNC1WWiDXmpBMl2FZBpCrA0mxkEdMLYt6IUi7cKI+CEA34d0Lrd85L3AFR/IMOYbkN4rhG6KtBY8zUKtRtpwqxCCVcOGTyCQzvNYFdetKimosDcQgMNeUGF/nR2z4y9v3P2+mx77f4ofFFmygsnRYkepEJXCNpo73tKRClXNwlozKTYrwDQLb9k46m9tV2a5WdEpFQ+zYl/25m8m4EYapaV4NlOMtJk8m64n7RnMLqdZGGsWKLPz3bwNHELoykRoswJi6jZLxa/sspqPWzainFKO07nKCmCco+xxz25zlvybFRln6grMxmFTpxy/puLfTNuaDm4rHZCpE5Db1BzL/sC7Tv+tfr7svmYHt4PHpNmZmp4HR4tYN59zs2N2HOvxZMRE/9KExSe6/TPN7Uzi4xMVJH/fe8Dvi9Ve+wTX8/vEwmM5V9mfH2th9piJfHWY6O9bjmqlgG5+wj6eYHqyLjrAHh4ewdyONpy8eD7a7CLkMEFOUzE+XUFvMYcz23pEOf7G6THsq5fB/nXeBPZ05uB7CQ7Wp4Eq7xMSnHX8aXjXP38QQ9UyvvjDn+KejQdx2uIlGHImsG7TNrzqDf8knGU9uonVSxajtVVFZ18n/u4NL8JrLrsCtmZj+7Yd6FzUharL/qkE67ZsBhNXrYaF7912B3KqilNOXYWf/PIBmLKFUdNDYkg4f9lavOXNH8aW7dNY2X4CvnXdR3DK8Svw+ldehuc/51mYrk7j4Ue3YdWCHpy9ehle8pp/wMGxbXjjXz8PD+05gOG9EVbO7cBYIuNvnvkC3HTf/bjj3l/hunf/Aw5PTWF8614U7S4snzcX9ckA5608Bc8680K84w2vwYr+Phy/ehXu/MUvMHdlC87u60A+UVCJHdTjAAUjwbTMTq8cDhycxPrtj4gbsFJPHq3decSmjmJRw7w589E/twBbtvCfX/4hFiydj8L0FG54ZBd1CNz/8L0iZmiZeVhGBMuJ0LV4OWzTQFuxgH9//5fwkuefi3sOPIxnX/gMdPcWsGBRG9qKebzgtItweGQSP/3Bz6BOq2gvFmHmVRimiqmpKp7/ovNw+rxFGKvK6PRIHdWE0ax7Xh9OWbYM133pO3jLe/4B45OT+Ku/finaW3KYGvHwzqtfg2tOvgjf+OTHUZkqi/i0akVY2tuK3va52HpwE+qhj4FCCR/50veEu6l7Tju2bhnHj773M+jlYTy6ZzvuufcR9Ha14ZKzno++UheqB8qoH6ig1J3D7keGkNBtVmZMUcILzzsThfY8/uOlV6Cl1I0LelfiUHUCb3r3B/C2L34eJ69djU/+x3VY0N+OK59+PpZ2dWOyWseuvTvhBzWs27EDO/YO4/M/+j4cvwLfmcZ0WIWqEL6gYGnfQrS1lHBo4iB++NUf4Xu33ABJr+KE5ceh2NGCiuLi7R/+TwwFg8wt4viFy/HRn34NL3zZ2/Gt7/6ngGnIqi6EE8aPNTrKZIolEWSdXXR08NDew3J/RjgbEddYDkS0lhcZS+0p0NCFxn2ncy4izCBhtxx1KYpElK+OOCUpjEQOgpjCjy06yCStKCAPfhRDjqviLYVCnUwBzDSh64R/SMLxAzdB6CUwQvaKsbYrEDFJ3ZSFC070uqnMP9LuB4SuL0r8SdH1A3b7sWNME2CEhBHYah2GqaOeNMABcGrwCfEgdEPVhNNHj+hWI/SHwhsExTRiT1voQ2F7XBgJEAa3ly5DwiZUMKKoCuFHIWRDyESM/hLc4Qu3UsiMKPs7A0WwdukjFAKpJMPjnKqJgFdo3AZNhmlKcJNExChJnzUND0auHZEuC8cohZHAJRxDQVitAmpjfnWw/0yCLnsIE124yQirkAj3oAaNEEGVkWGKoRRAZWiaCiOOELJbMYkFoERo+ZIK3TKgawGI5ojdCAp8GDn2+4WI2HlHsi23x5eFSEOKLE8G0oGpVYKuTJ7DEhvYJFRDWcwvxTlVzyMp5RGoIRI+h515dMZx23KM9dYE4ZpgBVOn1y6Bx+w6XNEXCbojg0R0ayZOBC2uQ441MT8U4ANJR1BPYNpSo18yn4enKaiEMkyb9kJGxUMh3kUUSw0dfuRAUkx47OPTVUhuGUGtJpYnKzxnHVEpwX5K33fgxzy3KLJGApKRaB4sK0aiNOLLPH716RgJHaBxgpwtI4h9KLkW4exLBPjDFZAYRqlVYj0Uiu0ybCOBOxpgqqzAnfLhewFk3YZuFQC1DmKQNdtEHOWEqzbxExgJO+tcqIjE+xrPbdGXhxBmzoQqm9ByJsx8Dl7VFecPI8ukJKM8hKIZwVJq4jpi72ASc38UISibKuFRHly1Q7znq3oi3LZeQKqzKdyOLoEfUgRFLkCOXehOHaiOw9e4nWhAbtiHSJdnvSxEVDpqCUaReO66HmIzBzc0IScBQldGmC8wwAw18oQTVCe8xGU/pQSvMi66BGMKwDzHVR+25kKXAKceIa/FyAtDMB2ydLvOjtnxlz0ofKRQjGZha6bY7kwCz0z9cVxuVgRMBTUKOcKB10Tq/R2XWcbZdbT1i3Uecfdlf87veTPDG7bmfeHy0mU399Nl1/9by2sSJzk4Z1mBLbs/2cjtTK/NjlR4E72FR7Yr7ahrJucSPJKKaFmwBX9OwS4V89KfH02oTeftTu0a8T3j0zNFbdP9ScW+33E3HnFQZuPM2WVke/vSr+n+pvOc3lRzewhXOZobMx2k8B6tR5LHJBtN5v9zXlJQTLMg2vz6mY7P7Jgdf47jTyEsHkuh8cnY/pkEvT+mO/H9mfUdiw6+JzpXf8y5PGYiX/f8kvj6nJdegwce2QjfCKEaCs5YeRYuPWUJujpt7JycgBUronOKbowlbR2C6BchQUSRIArQb3eJTqLWFhu3H9iHn+3ZIdwJNcsHDBkb1m/BZS+8GGyVYtH4xORu3LtuG3SJFeYmXvm6l2DPwUNwqjFufXQdNm05jJxm43s33IZ5nW1YZveKwv2OQgcs00CxRcOqgX64kg87X0R/ZysWdw0grpRxxtLVuOC0E/GOl/8ztFjGfVu34k1vfxnKtXFoto+bH7obt96zG3/7b9dBbUlQ9SJ8+BNfRHdnCUvmLcNvbv82/LqPL3z561izeCEitYaV89bCdhQc3jOIO379azzz8vPwjq9/EgcmqqhNDWPfrv2CIviS516Kux5ah2e97JX45nU/wrqtO7H+rq0CYrD+od1YuPo0XLjmBLTIJlrbWmHaGuZ4BRgqo5IyThgYQGdPGy5YdAZcx4U7WcNkVMWLL7sEOcMUosPCzrkYG5+CoxZx8vwFOOfsE6AbCvypUZQYBbMGgFYN2x76FV565eVYe+JpeO5Lr8RPbrsHJ69diR/ffStGx+twvRgTUx6ee8Wp2LN/EBc+83xM1Go4rmcAc9UOtKg5LJrXB/dQgs7F/ThtxSI8sPMATl5yIha0zsW1b30b7th0H776mf/Atz/7YWx+aBxf+Ox18KIQRsnG4MQhjE5O4O7fPIhl3XOwau48bNsxguVnPBMPbFoPgkMZD/ybF78Dig0s7CjhtgcexeplXXjt616Kzdv24nnPuBqGpWLf8BjuvvNGtJRUOH6IOrvP6AoJE+Gm6uwvYWqiiv+57wER4fv7r9+AyYlB3De8Ca1qCQsWDqDrxBjDhxy89Y2vwofe8zXs3j2IylQFw1PDWH7KMgzVajhhYCkWLl2Azo4iqtMhnrH2LBRyNtS2BLZkoqKwl44CkopXvO4l6LRb0V3oxH2Proctq7hk5Qn4yD+8A7u3j2HZsi7c8uvf4NWnPQMvfe2LMTldQxJFCOsU3Sj6NMAaGgENZCcw/im6tGLhlGL5PV1YjE1HJAlQDCH4QqcgpyNmd5+cIAhc4ZIJE68BeiGMRLOgKIywqmCuk4Rsvl7XCbkIIPkVaAbL8DURn5UEoZb9gBIS1xWF++z5S/wQckFviGAMLmoMJiqiVzGKWJwWCFiJFBtIgpqI6BKowRv9ULbghwYUuvhCn+ZMRD49eyoi2ozYwRb78BQLBom2iSccm4IaTH6vQnHDR2Tk4Lma6K8jMCRWTOEQJFtW7JscQVMpLEZiflk5ENI9xg68yBPiacIOP7Mo4BpJHIljSHqGGgdIPF90BBqqDSmUBS06VlUEjF9SxKCrjjFUVUM1ojhbbrjA6GyjwCnbgB4jigy4rgyVGm2si3NEOKINiopuQ3RVcwJ0QAcVDaeC2qskkKxI7LuWb/QEKroFRddomAID0uyFozioBuxYo5iqIPGqUE29IXhKioCRqBLPhRwEV5jCUUgRkjFbxoobZFM6ASk6BUEI32ePXYB4YhpKooiYPkXDoF5DqGmIK65wZ9KNKVk6pn0Jsh8ir1BDVGDEMaK6KwS3JHSgaSYchwT2OhJ2KrIjL3YgWzbcsCDOZ8mviVi4HCkIquwPLEDSLSCf4wkClb1yjJuiJubWcwModk706TFSzlNZ0HwjwFd1yL4LmZ86hJKIkSsmBU9TiF4UPimtqUpDwCI8hGJgfaoOW5NQna4iIVTFtGEpCUxLEsI14RBhyOtShgMbcp59izwvTRHzJriHYA8Vlvj9GSd0mYYibk5YTJRrCMaJagn6Ma8lOt7YO1gpy0hMGW61Ajei847SmS/6NwsmRUkTbtlDNdBgax50W0WktqLiS4icQMS4zYhit8NpQM2JYIQRci0GvFooHJJJ6AoBPKSwaFgIKMSpRSFYmnBpHRYCnVvVEWglwJ0UAKKYmjfdmUkNahxBCqpIJBMx3cK+K1yWhMSwEcCvhYj4qQV7EVkVKJoHY6gxoVJ07apwAwVGsYQgUFAXEexIuNhnx+z4Sx1p7PHx4pQzfZ+KOr8FrEjFqRkgDtnvhfD10Y/83i49IY4dEaianV0ziUDNj/H1vKGiwJMKi+nNW0ro5WPpHGTjrSL+e2S7U9BDs7DJx5spvNmRjdymQmgqeDaLlOn60jiyWN6RSHLz/qWk3HS5HOfZ14qvaW9dNhbdLJD+zjxnRMBmsbN5v7IR2Ozr09dkXYD8/ywkI319Gj9Ol0MHZXYd7/73e4TQN5Owx/OAHX2pMJsV7NJuyJlEaQp/zcCOrNuPr2smD8+O2TE7/jKExscb2QqDJ2Nc+yTFm1Mx8Y8F2/ijgDfS8fUbv4ebf34D+lracSgchzdJ54aDhLHNWGmQNBN2K8lIQlIHNZzcOgeqIeH+0XFRom6rMuqeK3rIAs2FMi6hagQIPQICVHTMbwMmPFR9D91tbRg8NILLzr0YSVzFXbu3IJis4szlK3HX9m1CyKKY4NXGsbKzHwedEAOWjtPOXIH//vG92HxwB9auWYk9+/fjvJOfDjMJ8MK/eTMevv172LR1D7rn9OGr/3M93CjEqcefgIrjQJNkLFm4FLLP2FCC9k4D48MVlP0aWvMl7BzaAdep4OyzzkHgV1Gt+1i/fhNGnSm4dR/L+xbh7j2bhZsqDmK0tOREtM5nTkyW8cm3/QP+87NfRWfPXBya3IxXXv4s3P/IDkHONYwQz7vymShXyhiveOia04L77vwNJqoVWKotnFr7ypOYOFjBSSf0YXKsjnE3xhlPX4at6w7ClBXMWdyG9Vt2os0uYWSiigVtrZio12EUc6jXJ1GeDnHSSQtw38M7cNK8AQFDqAc11FwXL3vWi/CN7/wA177lKrz+Y1+Boan40rX/hPf+5+fw8fe8Dq/4l09iaHRY9BciYHSwEbFcvKwT+/dPiQjaC8+7CC2FNty75RHs2r4DKxYvxO7DQ+jQ2/Efn/isOI9e/vpnCXroVRefhr6WVTjpgguBvXvwgve/ES+47AJ850e3YU6hHY5ah1JT8Zxnn4lx18Mvbr5HnGOuHjLZJ24Xzz7pePx6w6Mo+45wAhV0G6uOfzru33AzYZiITQW5ThPz831oz8koWiWMTk7izoc34eITLsTBid04aXkfHtq8HVFs4BWXnoOfrN+Bi05Ygs/dcD3OOuEU7Dt4ABsPHsTpSxdjCjX06m34xQPrsGrVfGzZdgDnnHQG7lx3tzj+Z59wEu7a+Sjm9fbDEBRqEweG92NOdxcODu/BvLZeDE1Xofoh1LwiIAbf+dJNuOjq83Dze7+Aq97392hbcRzCWiC617SA4hJdWewrYzRQF4JeEvLmmT10mrhZpwOMFjo666wkFB14FIQDYQtUoJiy6DoLeMfPOj744ppLyPNkhC5h1NZETBccKax0AlIEoqjHgn8pbrhv6DaiA05W4YpYHbdNRszuO9H3L4vrnWAIWSYgRG6AI0iIZVyWXXKaBb9cg2I3tkURNFJXOLfkqOFQixk9jiLEdIR6DsLEEO4qClo+XW9EL4QBYva2VWpIRHSXMVGSXE1ILPH3YhFrdmtEuCqQQ0+II2SG2iolLhdxQGFHRizRIecKt5/ooIsMRH5NuCgJ+KBoQWuqLMeIZTrQ2MfmC3hDEpN+6ov3NhopKZCpWg6UPGVuaVAXsUWKkZpE8TJsAEfYa6iyvo/uNQWe4wkwBPtHCfeg5EeUCfv3XNFNF4lzQSLoQNOhhWVopYKIbVIv8SMKtT4SLt+0kHgeTN0WAhbdZ65Tg2lakBiXZUGabInOQrqweNxC6LCsCE6ZGVgNthKh5sXiXJESWcApVIO0Y6bSSV8lBFaDbEhCZLMMFS7FJF1C3QmgEdbE3sAwgamroluOcc6Q79qcZ90SxzjyKCwTYhsiJNFXJ/yBvw/4oC8EN0aJtaSOMNSgMG9PNx/nl04yxjyjGJqpQtFUBA4lUk/0xXGv6FKl80/2AihtXZgeHhfXhGVSDEuQM4uolScBrYBCLkFlsgqVAJGYIl6MUDHF9RUSykJYBKEhnoJYCuBqBUiVwyBuxbYZVaZoR+Mecb10+bHfkD12orUPjusLB2hOV8TcR4kOJQ7hEV5jyUBgIXBriAnX0en+1KAx9ixRuNSE69OTLQGM0dUQCt8PBFmGsV9ecxbUxEWkyVBlQ4ihLgXj2BdU9VpiQNOlhnBMQZnnnW+KfklZ9hDJeUG/NghooYAehGKOlagCqV6Db7eJWHDi1iDR5aoS6uJAz+cQeg5U9okmdLoyds3YN6DyPKAzmE7U0EFAB3KgQzYpfvNn/P0YifljvySdrOwc/dJXv3Qs/3yZHbPjKTUonmTdVjNBE36HhHrENXY0GEIKmsi62ZrhGc3QjT+UbtoMiTja/qTCFwUjPo8ONvH6IzHfLBDkaOshUTi9YWqGjMwE0Egf4zganOS3tvHtfyfAItm5z84pByOu6UhhH48HBplJkBRCYOZYzAT+mEk0y85vNoLd/Fj2GDQv5/H2v1mY5LFKn5+CP9Lvs1/TdfP/KXymQnL6PQXFo4FN0mjzsXTXzI7ZMTtmx/8WGvJkQESeyDqedPDGx7/8CTy6fQNu+umN6JrThX1To3CmSDt0RReeX43FjZ4jeqEixBJjdHQbRbhnbB/u2L8PRi5GWKvDjxlVikTEUPJMcROt2LKIOi7r7sd3P/RdTB+qIJmO8KWPfRPtK9rxm+0PYFlvJ46z5wrhxrI0vOlZV+DKC1fislOWY3VfL5KOArpaTNR0Czf9+lG85EWX4jPvfhMW9RRRyLdhcHwaYc7Ebd/7MmTVhJlrxRe+/0O0FfKoUXBRLGzZvwuHD49g/9BO9Hcn2DmyBTfdegtctYIz1izE9pHdaNdsvO8tbxAdgbffejcstQQt0nHNeRcL19T6w7uR0wyYbRZypompel0QPWGx/yvEW/7jA/iXv38ZTG8c73ndWzA8LeNNb/knjDjD+NRnvojjFnbhoV334+C+nbjx5zdjyalLsXd0GE7oo54EyNkKfnHLbTj96VdhLHCRz1kY3F9Fzu4iCQNKVYLj0O2Rg27I2Dc5jcl6HePDQwikGGZJxcihw3jx5RfizFNPQdlxkcgqqkGIsy95Dvrm5vFf33gAJ/Ydj1VtPch1DuDjn/wEnv3378Ucuxsfeevb0NlWQFtnCYFM15GEPZuGUPccvP+1r8amXXvwiS9/DRs2bUUYS9h8YBe69Q4UO3N467tejLe//bVY0tKHaq0mhNObbr4Jv779a3jHpz6G0086Cb+8fRNWL10JQzHRm29n4zx+9D+/Rl4toL+9B+dceTHa8h1Ys2w+Vi6ej3W79yCqhxgwe3DOcatx2vIleOjA7YjrCYq9HejsbkH5UA2WYqM85GLb9j3IRSbacnl4fgW5dhUDPfNx2TPOR09bAR+89cfoLVj43vU34rj5SzG4fxc27N2Ps1YtQk2Wsbh9Ptw86aU6qr6LuX1tAgDCePJpJ6/GnsMHceaCpThu+WJUkknYhoUTF8/Hs55+NjqUIvYNjeLcs56Jb379eiye049OoxVvfvM1uPW7d+CWR36Jjs4EAbNyvOnXJQQUhxlRpExA15QoZWvEKTXGJQX4RBOCXuIS2BCjSvGOXW2xAK8KUSQhpILGGY/t95Fw4tBjpKj0zLFhjbYxxi8NxJEGmVRPEkgD9v3xIwOxBWI9FAcjinF8k4kYDY6F0KAaFMHY0eZDMxQh6DFCSKeYloSC0JlEiogWq5aOJDQElCEOYzggnZORYkY3DSGi0QGkQEdkFkXnmK3R3ZhAcSqiR46CF11d7DbTbR0yXV6yDJ9imE/HmgSf7mI5gRLz+SqiJITsRfDo7koUQQYW70UJhGtVzKgfQDUAy1TgS42oMTQTsi2JDkGSWklYpcKnStxnGTZj0YnIOEKJ2MHmQgo1IRJRdGTPHimjcULwhYREO0JBjRm55mUUC5GH0AUB+uBxi9ivyM8LCLCgJkjRiVojSb9VcU6EHt9PQ5SrvojuCqBMosBwPdErSPAJAbwBScA2BV0TjhtA1gxEVIroMKMzS1Jhsf+uRuIxpV8PbrkGOaSNThXnJLviSHVVpVAIjiq7F3QKvHTaqXBrhKaQzaHCsi1IkQ6lxrnSUZl2kWdfYT4Hm27JvAadkU4DYEaTQp6Sa4VmGkgY+6aaCxKaY8i6CSWoNOAbjEhL7L0D6rEN33GFS9xQGPlm7UMouuJIi6UIrAjAC7knLrzEQKUawjZCWAZFc4pqCqbL7IdjV2cAxwMS2YQXKiI6rhsSFArfKmBTlPYjqHQ6FhIhhifVUWhWCwzZgxtKwsWuUJOruQJWww+82C8pEDhSglKOMXpZuEsp0MYU6xWmmen8S8S1DVuD1WYD7MNUTLiygUixEZGGrbYgUiTodACyZ1SqHTkHZBRyeSFoioi/zE5Akqcb8fwgtjHty8IN7IMfGBH2EkEqtEKxJOgaP4pi9N2DZkQNZyajzkJMdsUxjoutKBoxEq8G3bRhiPPAh5k3EMYUHGVIvgc/DmBo3EYFioABxY0PG2pTCGW6fFXIegAzpGgbQjFI77XEeRVHkQCoRLzQZsfs+D/SzZc6uShipY6ztHePI9tpdjSBjyMVjdI+uJnouBzNLsInGpWc0cnXtK3ZKCtH2p/Hn9PJx5EKeql4lgWCPJ6bMe1SOppQlRW3Updg9rFsp+BM+56647LPoeiXzikfZ/zU3f/633LLpIIlb96y8dPfcQ5mjmNzzPnxACvZ52X7C9NzJdu7mI0U/z53XPZ48rUU9bL/mgW+dPD7o/VAplCW9PFVHff9Ftgk3Y/mx9JY7+z4vzFmOxj//Maf4pg93jpP/wO7D5vFtifD7Xcs13HsOvnKVQxXdZy4dAEGSm3oLOqQvCOumYQEPaA+6kJhEEeJoQUaUGnEhiQ/gSwlmBquwa8FqIw6aOEf9QH/2E9QyTHTk4i40RXnno+ffv/zKHTmkJtj4lVvuAYTG8bgH67gN49uxJRVQX/7PNxy76P48v/cjK//+Bf46g9uwz1DO/DQw+vwq62P4ODwNoSBh+GRcdyzdTeec/GrcM2Vl+GhdffiuGUDuO72mxCGEb55y89h5Us4c+2p0As6hqfL4kbrM5/9DrpLBTz40A7s3LWbNiMM7z2Ir/34xxjefwDbxoegWgUEoyM496wzEXs1zOntxINbNmJirEz7JFryRmO/cxq6lYJwSkWVCMFkgNpYHS/54L9ic+UAPvD5j+Fnt10PghNPWrUaN33vu3jhO6/Fe//xC7hv0ybRKbiqZx5ee8lqjFYnsXz5Klx2+vni5nf3xodw3MACXHXu6Th+0WIE7gjqaoLthw9i1aKFWDB3Lq44/1xccMY5OGHFCnTOaUfixpjXOhfD43Xcfdej+Nh3/xsteQv7Dh9Am2Xi1W+4Bu993xdQKkXYP3xQdIe94O9eg1e9+jXozpUwERxCxRlDZ74kxJZSVwEXPP1kEBrJbrP3/td1cBMHK5b3g0G6M9eegpySR0trDnIooVDrxujkNEZqjugbK+ZMXP3Mi7Cgfx5ai8DD67ainHioBS4WL56DynQdeasI5BJ86Yc/ROIkkMfHcP6Kp2PJsgWYnBpDUK6hY04r3vyS1+COXz2MjTu3CLpoFMcYOzSCwX2jKMk2poaHcbhaxdKVa/Dg1i3oy5VgGTF27tmFvYenccXlV6A8NYEff+YGSIEGvcXEcHUcrhdg3qK52Dk0jv5CHvvHx9GKAkq6gT27hzB/3nz85oG7BZGzMjaGpy1bhqHRMm795T0CIpKTA4xXq/jRjXcKsm0t9LBp6+1459tehX37B/HJ934Qp644Fa99/Stw24O/RJAbECIBY6UhI5mWLNxJFAZURUMoKZAE/jNCQqIsu+/EjT0FEU3cQOuW1QBfRIzdkmOhQIpduBTv9EQ4pqTQF3FICk50shk5gj5kqGokivO1OEEUB6IHj5YtCn+RYlItEmAddomJKGnCrj1T9IIxihsnJnS6yPjGQX2S/W0ERVAMDBOxXt7wU/ijs1eTFQRRIMAgOrUPRjz1IzARggR8R0SDCdNIrBw0Cpo2CbiNPj1CXFVNgsPuOopc7ANkI1wcCxox+9fYDCdJhhBJWCmqWaIUUPw/9438B9HJR6GF7iXRnVcRzjXOKGEUmhRAprgjetFoMJNhJBJ8h8KaBE/0lAkMamNfDAaF2dmXHJGqGqAMipFsrKM+rugKzLwinIOMVCeMNmsxJEFRpv5EIAr783wY7IZLXOgaXVC0TNJpGAsqMAEmpmXCMClG8pg2hBLmI9lTx9OFYAM6cBn3temcplsMMWyT0q0k3JSRTBgQqxgoIgIqIRQaSct0hlmAXBfE5lAy4YQKQkNFTBGVH/aEGlS7AF9rwJUSiVRdYfkDQgdyPg8nSpDUplGvleF7MXzfFWAJXWaM2UHg1RtOSlVCPWT3ZALVyIuYdqyycJHCN52YJkI/QJ50XMUU0VQSYyVNgksqbOJATnzISoTYr4u4Mn9JkThthtMIJPYeNqA1qhbBlH2Y4sMnR5w7jPdLdBKaOlyHhYcyDMcRxFnNpiOTZN9IxI2tvIEorAhyMDvrNMNC6LNfkudUgsitCxKubjC2XUPdUxC6HnyfpFwPCUXNkG5GRqsluLU6FD+AV60LYm7MuDrnxK8IF6EcVKAFBMPI8GTGngFDuHNDeNM1AdoxcgT7sFvRQdVLoAQxVD2CUcwjl9cgBdOIwhhqMQ+3XoEssYuTbk4VJVOoyIBpQNFIafYQ+QFM9jXGMmpVT8RqKRq79JmSuhzRRJyIPlBJl2ETnlEJEZkWdIUCqSyqIrRCO9iQyA7CJIhRo4hZLSN26/zkAnW2JxoFcZ3yb4vZMTv+0gcFMOG2OkKppXiUFclSkSYba+RIY7upmPI7/XMZASkVnVKx6mgdbumgU3AmEutjgmOmuy4dWTGJ+/T9OWOPff/8oQ7xcwqY5wTfFsvhtqSusWyPW/Zr+rMsuTbdr5kEvmYRqTlamhXYHk+I+539PSJGpetO5y1785lGedPHmuO3aWdfdqTHPF3XTPG19DgfTYRNu/my4iJHM3E3HVlxNBtRTvcru98cdOHx++aIN92LWUBJ9vV8jD9/bB+OrGOm7UnFUZ4PPD9mx/+d8VSgw/5fA2r8oTCKJ6sz74mu87LfUz3xly5WHzORb8ue7fji596Nh3bsxu0P3I+xkSo6BkqYk7MRsx9IlNoz7gPE1VgUh2sdMiQb8McZiYpgqCpadRvXrFmK4bCMsuoIN8gV/YswN1eAVwnwvVuvxz0b12HunG4YkYGRiSnkWk1c87SVKE84qI5MQ5Yd0dfX19GG/UOT6JnTgsX5PjzjGWdgod4JUzGxa+QQbrz9fhwcc/HGf3sbDh3cLWJ/377+DnzpfR/G6HgNLzztdERajHvufRjOhIulna2YGKvgA+97BwZ6+vGbbTuxvH8pPvfZ72HMH8equStx1tOOR0lWoCYVdPfNx9nHL8IL/votWLd7E7YNH4ZlGPCrAYbKNRGdjaQQNcba1Fi4K3hA1HYd0WiAgwfL2LlrHB/+3AvFHB+/dCFWnnUaXnr+pXjz216GFWcsgORLqFdr+NTt67Goew7uuuse7BrehWv/9TUwdB1b9u/DLx+4H1PJBLqLFgZaW6C7AS4+7UK87o3/iB2P7McNt/wUD29+FBNTVSzq60VJV9FjmygWbRGZ23xwH2BqMJUi+rt68MF/eTP+8Z8/jg5Tw7KBbpw193isWjKAN5x9PD778e/gB3c8hGdfeSEWr+iDEiT42R13w7HY0cUopYS9Bw5icGoMlaCGQ6N70dHagn1TE9g3NoRt01sxWRvBtFvFCUsW45ZbHsS/f+ub+Mx/fQP/+M8fwoI5rUiSGmoVD7v3j2I0qaACB/n2dqxuXYShcBqbdm/Fd+77Pnpb5mCQMe0Tn4YVfXPx0a98GqesWYSKAdiMlzL6RvdTEKLY1or5cwewrLcV9z98H9p6O7FvcgybBvejM9eNhzbdi50bNmPH1ATe8/43Y2jyAEadGMu6F0HtMNGmFfGM1Seg2NmGICxjXt8A1iw8A4s6ejB2aDu0aRn5SEXPnDV4cPsG6EqA+a29aC9aeNPrXoGFdgdW93gYmDsgHHWf+vev4EMfuw6FJSvwj5/6OF78nBeLqPb6AwdFlJURt4S9ekoCjSBbEc1l/FQ03gkScULhTGGjWyIiriy0V6MqFLppGZ0FKbek2FIQpJCkQmf3WMCQtSYgCyJqqsrwCCLwIuH84c8tQwe5HggimIaMWGOHGCO7gYBWMMpK8YG34RQdKZhRFYoTHVFYQ+B6gBdCEgJkAk0hWVSGaipQbAsaXYFCdKojYn+cYUFlfDiMEckmQq8moBcJu/eo4jF+7IWIKnXh9EmqVUQ1RmsTRHIoBAM6niiqsGZPYZRWYS1AAt/3xFyQ8s1eRleIp6HoOHRJCKWAGdIlx94+WbyWfWmg+04HVEOHoheEU1EiqCQkJZTXDh2XMUyTQmcgHMZ+qCJiP6FMcUmFzOuey/V9SKEknIWhqyBfsMVyVVlH3fGhKQYSlunZ7ELzEbIHj0eJ8UZVge/U4USycPSRsQAEQoRjjyAFRImxUHYUuhHURIZtqcK9BSknSLWM7UaaRIsa+NGKE9jQNVt01hEAQuhF5HnwkliQrmX27zGJr1KOMaCxM47dbSHgSTbkuCH2MUYsUQwObEiyI1xkEgUfIxRgEJ6dnqyLdVgUCr0IBqnRFK3pbCStV1EQUOQhUIX7IrLACSw5gKexU88Vgh4FOKNFQ0hKu08wiSogK4YSQZcU6KoHMHotJTDjGuoRo9OMrKqIFUN05EVBWZCnxfGOeK6wB1ESTk6XdGmJzsAEiRbBaCnALdPRSdptCJ8Cq0SRsixANnFQQyQpqJUj6EecdSTMUto1bMbw6SKlAB0LgbLqsnexCNPm+awI6i1BNHS5GYYNTfHEHBb4e9NqFziYSNZgkOSs1AC9KCK502LbYwS+j4IaifM+0SQoui4ATLUa3aTAVK2MONLFtSyR2K4XYFFQJ5m70AbLpmOX9RkqYskkKkOIeD6j+r4rIuBhPYBmmJANUzhA4Tsirm5aecR6QTiJPZ+/Oyj08ZpquPoD0oktA77jCVCITwMuLHihI8Q7iuIG34LyeWgFiseEwJuwlAB+eRJxwOt1tpNvdjy1BzvK/tBBVx7FD4ocFEOyAkwW8JDezGRBCqlrqtkZlY5mZ10qqGRjrM1ghlSUy7oM03G02G9zZJQ9bCmxNTsoYKaCH/819/2l25X23KXLzgp96ZhJhEwjsNnnZAXC7DrSZWcpvY+7v01zm/bbpY6+dH1HE+O43+nPU7E2Pebp8hlpTQcFPz6HfXYzwVWaBd2j3Wg2i7jN8drstjcPCpM8v5pF0GYS82PbcWSbssIqlzGTwPmYOH0kqj3bxzc7/hzGU73n7v9V2OP7x586Lv//IiBee4yovX/I/P0pxepjJvI5vstf3QgYEQsiTLt1TByuYvuBEfgTAZa0F6FbKpYOzG1QIeMYtQkH7kQArVtHm1kSN5jTkYODIy4KpCp6pHaGGK3RAShDNmT0dJaEC0L3TEHma21vwQn9S7BxzMOBqXFByqT7a2HPPOzcfwi6ZmDu8h48tGsPnKEKarKGtoKKuu9ifGoQj268D6V8B/bVKzhp/lL0lUr43Ne/Im5OqjIwPTWNwfoU3nDFRbjz0YdZYoYHN25A6Kv429f+NUp5E5e96AJ05frwur97L9pLA+jrm4/nvvFafOor38QXf3gzfv2z/8aLLrwK46PTomMtNlRYkYIpJ4A8JYHwUd7usk+MKmhSIwiRN+cJjDYdf/Wiz+GFL7lKwEu++vmvYPvew3j5s1+Hoa1j6O1rxbduvAtF2Ng1OoiuQgFuxUWLOoCHdm7BwkW98Hwfd9/+IEamJMwp9WPu/GX4yc9/ik//xz9j1+gmdJZySHQVa5YsR1BxYeSLePrTz0TFj7GwqwVKpGJFfwc+9vHPo1C0sGf8MD78gXchymnYOrQP92/diHpdwk+2T+Mf3/MmPOOUpfCmXXRrrVi7YDXgBmjtKiBfMjBVdjBF106goKutB4mnY/fYIDrbLoXpqLBzNqJARuBFuH/jVlRlR/QOdi5cgcuedwV6WwbQ3tqCeljGiDqOUmBj3gkLcM7yE7FvckJEPjfsO4wluV785Oe/xPe/8FOcNDAHuwaH0NtfhJEroq+7A1Mjjjgfn7b0RLzsouchcEZxoD6ELeVx4SDqLXYikUNMhxVMlaeEW+3Gn9yB4+euQDgmo866Mj/A2Ng4nEM+lvZ04oYH7sb1N9yJdVsGsX1iEOvHNuPVr34WJgMFbmuIwakp3LP+53AiD74SinL+ol7Abet24acbHsKPNx7Gnn37sKKvC+9+z1twzWuvQP3gDlx50cV45bvejO27DuCU01ehI3KFc4ydWUTGhrEsYp7s9qI4IsmBoNAyqmdqJKTSgScKvYTgJgsiry/cehTdCedQSEclwVam646dZr4gbmoU+mIZChvyPV9E9LxEEl12jDoy+smbfYo+BBkwmke3m6Yl0HVbuOAakUCCTdivJbxrUJUITAeLSC97uQhWUGXETghPRF8NAXxQaOXTc6ITzmNU0aDrMIauUARpvC+odJApEvIGxTmCgBMYdk4QRDkPXJFh0L1HWUQWjmCP7mKJDj0KezI0CkYwBbGY4h//CxwXKuOjCV1nktj/IIiEKMg+NH5wwbg5ybSSGgsqcRBS1KITj3TVRPTiUU6lIVBjPFGnuMbSQAI8GqJgKAeIDBsJSaqqJXr8qlWST6sIJbq0KCQRNqBCDbnthIewxy4WAhUdV6ZdgiHzePgiDsleRtZiUnyShLijIeFxpNNLjoR46bkVhJGHmF2G3C6FlONEgDoooLh+KOiujDzz+BL2oYUh6lOMihvCceUHIQxFQZ3CLoU1hXFjB7FmI1JtwIkERdZUfEhxTkRnlTBB7GuI/QiBqULXJKhmXkRBTfp36Y5kLyP9XoYMx+OHQXRo2o3othCLgNirQmOsWGUMFsJBFzukKAdCXOTzCFcKdEv0L/JYGeLNNUAQqmIZdKgqUoikXhYQCFm1ECcaA+DCIWupqqDBU3iK2IeYZ5xbhSbbopfOKrC7ToXvSFCLrUhUurIpcrO3UhfH1LRVTJc9eJHZoAwLiq0NjedGoiIIFah0E+p1SD4j3AlyFOiDBjmbrkuKzuC5mUA489yJUcTMyMsefHYyxgYg+VC9ADm6b0MFjgDHSIh9H0HVgyJ5yGuhECIZdaUI6hOQYtsoV9iBW0Xg1UQHIKEajh/B8hzR/6crITSDUWxSuinesgogQbFUgFvzRVcfycQq47haEZDqQKUq4EaWHoq/DxjU1iQPUp7iMLv6NChxgDiqQ2EsW6FISkE1ETAY6AZ0twKHACY6QkNHALXypZxwEx/DP19mx+w4ZqJe+o+jf+APv3GgwNHcm5Y6xVLhLisepSJNKqJkbzDS56TPT5eZJbqmI9vhlo4UfMHH0qjmTPCJNGabOtFmiocejRabjmycNju4vKw7IxXTmsW5ZvffYz/L9A2mYtNMTr10W7NiZLNA9zvblhER0/Vnhdh0e5u7ANPnpcvgcinepUCK33IqHnH0peJa2oGXPi8LJWmOTlMcTec9Sy7m8ppdguncZ8+r7H5mY+Gpm/DxKLgziYSpuMl/2Tng67OCZnbOZsfsmB1P3kiFvaMJVUcTx/4Q0exP8dprH0eIO9oyj+Zs/GNRev9fxjH7K1n4gvLslwL0PKmdMlZ19YmusNiVUI1l0cu189CwiP2xh4euHRsanJonup/0Am9YQ2xwh+HFbL6SIccxNlWGsWN8EtFYgL37R4GwgiCv4OqrLgPv7urOFDYO70ZrycZkuYrVq0/A/gMHIXkJjm/rxrq792FBVyvu374NCzpLeHjnMLpzbSiHLgrFVri1adx/28NI2iUkJnDXo1vw6LYD+PE992Dloi5ojL1ZBpbPWyQIn1ZrDtu37cNnvv8jPLJ5n+g+W7liGd73gTdDVhTcf/9GGIaBKy+8CItXL8Cj67fhkZ33wDe5uSFkzo/FYnK6LDRxA+eOkZgoCbFP1tlJRpNZAn86RMXzMeJW8I9f+DJecMUFeOFLLkUgHcQ3rvshatUayuVJnHn2QqxdcxI6FnegWgvRrgSo1atYt3k7qn4VZqeOhcsGMB17+MXddyEJJOw6PAozn0cdDhYUi5j0pwQVd2JyFD++5U502Da6OlcjhIu5LYvw2rdejfktFg4enkA1poPGgFloRXexhIOHR3H1c8/FB//1U3jwkUHUp2N8/85fob1nPqx2C5OHqsJ9R5nlHc+6GhW/isO1Iazom4f+rl4cHvwRRpQJ5KMWES174bOejxVzBjC3fT4e2bEN+w5txmte9FzEUoSPf/ArePO1b0LekfCZL30HmKhj687NKM41cf4Fp+PyC8/BtOxhfHwYL3r1c/Drh7eip78bw+VpHD58AJs37RNl+l41xIHJ7bh766/Q1tKJuW3d6Gmx0d/WgcCaxtvf+Ap0Frox6tawdnEPoITYPbIH4+EIWqweLF7YgwmnjGFnGL/Y+oBw/8ktQFuLhaGdNVSmRvDBT34X3d0DKBU0HDdvADd84lYkLsXqedh2aAiDtTF852tfRWeuhShVnHTi32DLyDA2HjiAp/cvwMEDk7hj8AC6ezrQUixg3T27MS5RvGIXl4KY9FwKK3Es3F5xTGdcLCKwdPA1+uwCuDGlNcYvdegJe8t0SLohnHYEX1AdS+i4IwQgiZBomnAYhSSkRuzho8uIHXisWEtEFJYQA91gWLUhHhmMqFI1ZMw2jIXQIZsaLIOCQoPoG0QaTJ0ddHkhcrBUn0a8kMVrMsm4gYhnkmorCQdWJIATLORn6VlUYydXg+wqqwZkLYHjHPGuxYqIndJNJEK53Ba6v+h0g4lEorsrFm4624hBMyH3j/HBINFggPCLGIqhCGKspGlCaBfzQQFeg6DxcrpkQ0fkJFATipIy0aSIGH3VQ8i0VkaJ6EUj/FdOQiSSDCXXoLoy3Rwycks4RqRAJSgirEO1JUi+A98PoekKVJJxY0/EjzlH9DqRaCwQK1ICVTWF6Mg+QIIc2G9K5y03MIwa7yW+w668UPSy0S0cJexK5LE0obErkACOWIapyGL+VClCEKlCwOEHHYFU52GBqoVIGDdWDBi6L3rZgsATkXGCEjTOK12gBIp4rgBHMAoq08Woy8KtiGgK3Cr25zl08ekq4hq74RKodKkhBlsE/ciDE2io04lJ96UuIWbUOqTbMUKsyEh47pZahSDkoQCT2Wa3Di/0Eeo5kkog64boAIRTFyRmk9HpmC5BS0RNKUyRiMxagEhVoeiS6M2TVQpSDUcrScYRScYRI/AJahT3g0koSU04ZynC+ZEjqLz1sgOfAhgFKFYRsgPTIBG6jnwbo8J01Hqi75E9hJR+dTVAkMgiZs7XOBHpsUBoNn6rCgI2Rf2CLc4pVTOhKBYsyxDXMDsq5UCCx9huGKIWS+J3p2znkaNLlFFense6AcdVUHMTRHYRkUfRlesPEZcryBnC3IdYiLwBXNcDedysD2Dc2vVUBLUaJHbvxYzi85glqFWnoecbHZp0CgeE1hDyw6qFFguGnUedXX2aDlUyUavTzZuD7FSF2GqoFqLQZDgdqlBZ2TnoQ8kVEJLaq+lC8BTvMZoKK2/BqbjiPUmi8D47ZsdTcFAEITSD//7QkcZYm8WTVPA5GoE3FWKyPWbZ7rlmASn9/9Q5RVGl2T0lOus++pEZRaGj3Sjx+dntS8Wz1I13NIdW9vFUXEyXl52LmVxjqfCXCqQzbV8qIj5et136tdmJmI4Z3WoZAEe6r82CafMxao4Epw7MVOhqFtiaI2jpXGafJ8i4mbnivzQiy+3Jxre5vOwymyPMjydypm7CrJjJ5afnR1ZQfKxrMLOc7Dan20X3ZPNcH00knB1/HuPPIcb6VN/Gp/r2Zccf4l77U732f7vMowl4/5tt+GMf02Mm8tWGy5jeP4mAfVyqihOXz0clruD5F50vbvQOjE+ipcOEH/miC+0L73snFrS2Q83J6Cjkobkm1i46CfP62mDDFA65ztYCejt7oIUaLjjpFMzpahdijFJogztRxs9uvQuyrGPL3lEU9LygedamfDy8ZxtOXbtcuFO2jk9gtDaOvZUpDI9NoOZ5WNTVizNWzMXC3gH06rYAS8SWhmvf8hF4SYIV/Z3YdGA7lq1eiKLWDU8NcN8jW1B26mhlcX8Q4Ne77kfi1HHi2qUissYIWTKdYPTgELp6cli1cBV+dc/9OHHZQpxz7sm48tRLocUScq4O8zAQj0XQGMulMMCbwVCC1q5CKspCmFFIgaQjo2F0YqIOsi/hnR/7BD707c9A8hqHbrdzCK+9+hLs2Dwpur6CXaOoVCbxnQfuwgVnrBFCjBHZMGQT9+28G/duewQtfQW8/CVX48DEAYy7FQSJhEGnjF2D+zB30QC2HtgJ5CRsGt6D/ZXNME3GJnUUpBK+8Yu7aKXCztH1mJYmcGh8FI4TozI9ieuvv1tsU7saYc/QDmbJ8K2bvo1rzr8cK+b3ipuyf3vVK3HTHb9CTs3h/a9+NV7+tnchqYd43uVX4sLVJ8NuyyHfbuHKZ12Np9NFMj2Fha19eONVz8Gtd98HWw3w4Q+/BQt7TkMu3403vOGVaCnmYOVsHLdkOaamYmy9fy9OnrsKy3rnw4KFFUva0RnmsOfgKLZNjuNvnnN5o09MU3H2qrUozGnHFaedhZJkYd+hCYQi0qrgo1/5OqYmDuHCp63G697xcfT29qKzUIAEB71djDhGrBqEYZRw2tJThKOnv3cOJiarGJk+iGKHifNWLkZ1pIx2uxV7pkfwpr9/PqY8CqljcPwyrFoBX/rU56AY7BdTcd99n0ToeEjCGh7eN4K2jla8Zt5irNu2Q5wLflzFWy98GgxZEd8TCkGARcjyO3ZiUTCgNMU4b8QSPAZR2aNHIYuCgQef/XW8+Ono8Tzh6Ak1S/SvKZYuIooC3EH8LvvqpFAIioQ/yKEvHGlcF3vf6Hq08xZUVUKo2MLJw/0gATVgCxfhFwQUiF42OpsiEQsW28buPfZ0cR2aLfrGBGeCIAWJTisfEaOAwZTog6PDUGZvF2mbSkH099E1yFifqimQ6FZkR59qCgcVxQjCTuTAQ+JUBBAk8iMYQRWur0C3SUdNIBHWoBCIkMBQGsRripZcPqPckqYL8dAP6A6LYRAUwJ5BnYIIhdJQUGAFYIPLo/gQNWipdJkxhK9x09irRoqpqSL2AoQUY8wEic5eRFJsdSQUcCniJexfY60BKR6N55KQrBqxcDyK2Cp77lQJpthH6iPqkVgoj64CMPpqkbgrIQ4ZmTSgMHqcMBvpi75EI2cgJpmYrkC6K+kATDz4QUM0lUjckBuE18D1hXAnXGCyCZ4xbNdzE84HxeFGLDuRDSE+yqEuyC5uZQL16hRUqqSmhiiuwsC0iI+yl3D7zn04sH8Y5VoVKoVGIw8lriNvE3jMjHNddO/RWSqxHJEAFMdFtcbOR/b5RYhUdrVZUAmCcQm0SOAlKnyCNXRDdB+KGKlOSjH1M7pWbSGE0nlW4JER8WwPMuElki5i7LEfwFJcKFFd0ODD2jTUQg4uz2ldhskIPMk1CXsDSZT2BHWaEW3fIaSC8lSC0GWo2UBIkc0sIYhJXU4Q+SpyVoJE8RFWE+TzMQxbasSwTRlOYEEyikgmPXi+BF8yIekBEhKr4xh+lf14fH0A1VRZw4m8oUFNHLHPwnHLZCvrMcIABVMSJOQGIIXAHAU2C/JsU8TjY+63E4j10EtZE2RtBZJfQaiSfmyI+WasPHYD5DXSs3l+m1AZd+aHfaGKoF6D69eEq9+iMF53ISsNQnNcYz8hPzPhuexCM2LIdOwKzG4OqMUI9IKIk2t+FYnGaDMFQL6f8B2D3aO81PnuOztmx1NjpO69LCyAAkezuy/73CcyuJzUGdAsuGTdcDMJSc0ddqlzq9kBll1XKtrwa7Y3L+uySkWh3wJzfPQjQlD8LUfdETdfun3pPy4328nG7x/P1feYQ5BiWMad1uxUS0XPrEMv3Rf+SwXPbEw5K3al/5+65ZrddelzsiLn0cSnVEBM5yM7L83iYHpcZ6INZ7f3aKNZ9GP8NXuupPPeLBZm3X7ZeUhhJI/nnmt2mHJZqUiX0nNT8bJ5jvm8VGRu3jf+jA7BdC6y8zsLYvjLi7E+lY7pUz1q+1Tcvj/H3sQ/1vh/OZf/2Mf02OVd+Am8JCPHG6uyj8HxcewfGsOW3XsR8YbEhHCkkRzIv+d/c+9dcOohelt7xc1noDjYsutBRHUZhmlCVzUMFNoxVp9EZ76Ih7dtxrzOoiguN0INl5zWg0CT8OaXXY1rrr5Q9EwdGhnBKcevwuYdO2DreXT1lEDmaKeVQyHR8Kqrny3IvZ5cxw13rUcpV8SmoYPoaO/C3O5WXPGiS7Fx/VZsPDwknDLb1+/Gxuog8pqJOm+W5AR2QcUJA7143VXPQodlodsoQCkDixf04J8//Cl09LahkCgY6O+Co1ZxYN80PvrFz+JwtY76pAe0y4JYmJtjwAoV6FGCBUarcLh5EyHiWgSZrh8ahyhckCDKYndNEgLDtOPgr899Jm64/Zd48UueiTm5TnS0lrB8yTzhgLrw2c/GySeuxoLuXty2YQNW9azA/JX92LfvEM7qWooupYhSVMDqMy9EB2/kvAS2rqNNzaMvNx87d+/F3LnzgHKE/nwJOacAzzGxfv0m7Di0H55HhxWAkQSoRLj8rIuwZulSBHaEg4dGcNMPbsVuZxKypOH2G27HsoE5+MmvboduGrj4tNPxg7vuQV1LYKrAp7/xP3jpK56NilvH9277Ie7b8Ajm97XjNc97Cb513X/Cf/rpKNomgcB495c/z9Qvdo9UcN+enfjkO/8BLjy0tOcRKjEe2rELGx/aiHX33Y8FS1pw7+71uODiS3H8ihV4/pWvQmd3Ht/90L8jqUf4yi2/wF8943L05nNYTyfmlIfP/fePsHf/GBYPLMBI5GPPyCSWda3AgvlzcNeGbXjuX12K7fsP46+uuAinL1uGhzbvxiNTQxgcHUJBaccvH3wAo84kKkMu+vs7YCc67LqBmzdsgt0uwQ9jnLVsOU449zT0tNkYmqgI4vLXvvMdvOdd78b04TKOX7QEi/r6YOs51CsBJr0Aw+Oj+PYv7xSAi/GpaREFXb9nL3R/ukHS1TSELMQnuIXONcZLeXsux1BZ8M9OOt5MkxzrRSBrgbAUuupU9mLJjPJSvCBFVRZihMw7aLrNqCKSisqKP4qBKiEesYhGSrEnhDHSXkOfxfsS5NhHFKlC9KFAzXOY6hZjoJpK4cJvlPOL6GogiKwWnXbsRkxqSKS6cHyx/ysJHMS62XAMGRYc9vcFjY49P3BFJ58q+6JLjzgLilcs96fzV6eD6QhxOPY9khigsl/MZ49cw7lHF1cjTkkyrS8AHIy40omlMhroH3Htqfw5mQUBTJVWRcIA6HZLBHE6jOhqVIR4KujCCgUlE6BYhBi5pEFoDbwQrnB9AXHNFa5EVVdFhBaBCkkNhVuQwg978BSQKkt1n9FZU1BJTQqJRLgSFkHDYuAxwSnEujgJBH22HjQopapCxxUjqow5U2+XEPiBEHVYZcYuNkITGDlllyI/iWFXHXsEeXxM9j0y+0wRjRFvKRLuPop/Ucw984VozOuaFGO6JQ3TgmzmGxRV0oplH26kQjVzKBTaRL+bkgSQEwOxzdoFCjcm5szrFWRavtdJbBpUYhimJmLJbmIKsZEiMeOoFBDppDQVFyY1IZUkWoqOpMjaogMPOR2a5sGS64h8dvn5kMMyHLrJKSASBOGIvK8g2MZhXYhahF9Iio3Q8aHS/UqNnAJ4zIg6jxE1qBISdh+y4zH04FUZnVdhWREUAZCBiL27gQbJbIjNgZxHEKiolMuAxVhtAC2OIZFAIlN0LMBn/YRuw3NkSKEMv+6LnjoLgYCNOGoM3fChsY/RoVDKMlG6woGEkeVAQuCE0Is2orojqi8oxBp0FQpQjYVEB6rcJ9KPCc8JEiFg02EfVgMhvEe8JiwS7WUhoOqE00gG1JZW2LokKMWRSqGdUXEJrl4SvZK+FCPwyL8mVTyCbJUQwhYfDlDk53uK6ATV86KmQKJz0VYQ1Bsk6VClZzaHOq3CZgRtakS8X1G0TRKeqwkipwqH1Gs3ECK5J7DLs2N2/GlHs2OvWczIjsHPrhUx1ycS46UQyOdyOTNCGY4ISCksIgvdSAWS9OczdaulYli2gy39mjrImnvzUoEwHVkQgojmZp1p7OTLOOBStxm3LV1u+vy0h+/3jRSscTQHXpbim/48BUBktz0L2Mh2FaaPpyJoM4Qj3Zdm51u6/+lIRcbmbruZ+hCzAthj29fUG9j8muz4HaDKLd/Fndo1v7Wc7PqzLj3uA8XTrCiYPic9L7IwlWbRMRU/eb6kom9WQM7Od3pssseZAsFMYmKWeDw7/rIHz4E/J4fa7PjDxx8i7D5Z58r7/x9iyE9FwfOYiXwUGU467SR0tRWxYuVKjB920dHTDVWPcfbCeQjKDddBNYqgyAq+++O7oaKA+XN7UQ8drOjuhSEV0TfQjd27DqPHUlBxqsjDQK1WRuAGeP9HPoUzj1+Jqy48DXrbIhwcPYx/+sx/4Zs/uhkVtYZiIY9H92zByUsWYnJ8CmqiodRqwy62YaLm4IvfvB5mQcPI2AROPnExWmwbU9UKJsuUAjUct2wl8t0WluRaxQ3GynlLsLZjEcamp7GnTGpshDc+/1U4/tQzsHu4KhwOu4dH4RYivP/L38Vb/+7lGK6P4e7du/Gtn/4Eo9U6RqcPo2QUMRFMo31eCYR2Gn02hoerov9qKvSwa3pciKQaXQ6R1IgG0pXn0xeRQLEbh0li31ECfOxb38ddDzyKZ557Kd71sufjuutvxP2PrkPdm8RP774RP3v4bpxx0vH4/oe+h9e/6OnYsHELbvvSq/DmNz4HumxiKBzHx/7jWrzy6mfjklNOw9+++KXCzThdHoUaKhgaPoilve1QNQ2jzgQuO2MpuhZ1wrY1aIaNf3rVK/GyFz4Hk1N1fOYHX4WjT+GfX/W3OP3Uk/HotrtxygmnYv6yLlxw1Tl40ZWXiVJ9LVHwm62P4IF9m9Fj5uElpIZqyNkqrvv8d3DyvOWoJKGIpn35Gz/Cgzv34tZ7H8DDBw9hf+0wgiAQ8dtSpwU5kPHo/vWoT05jamIYmx7ZgMlKGZP1Gnw5ws6du9Dd3oIdO9Zj/OBB3HL3Dbhu3W140TveKeKCfuhhx95DWPT/sfcW4HKUh/7/d1xWjnvcQxKCBAvutAVuqdCWGtxSd6FO5dZ7qbtCS11pKS1SpLgTAnFPzkmOy9r4zP/5vpvhP+xNoJK2/O7N+zznOSd7dkfemdmc+exXFi3CuD8k7JBas47OXhs7tu7AGUsPQ7dRwGhpN/SwiCVNPbB1DesH1+BTP/0FylYLpuAi2FlC59w27Ap3wqnUEBYVtLTOQLtSxBe+/V8IIx+2quGxh7ahHIxgd+LhvofvxfwZrZh0K+hmXTCHaghIOjjWj6rvotXKob3YLMokbFvH1sENmDOtG11N3Vgwoxe/v/5ekT0nFEm012mGUO+xKTfZqyxisYYrMtsUofwSpRoscmC7JYteaF1ly6upihtntpfScsf8OdrGqSSLqISjXVZiZpokMux8ghjmRsYaJFkSNjrCbwGRhGXPR6ImsGhHlUJEDls5Q3GTz5bZSNdE+S4D4wSwYwkFUbxH4FiHEmzCpa01qFEJFdeVQ5os7KIR+ZhCaKCKpl+WbAjwWAtFdl0ssyWVrZ90Pwci941AgC3DBGMKgSbz2xR9bxkHYZ0uSjqEsk20etImaQrlVFi/FAUA40JDaNBpZeY+0aYaMQ9OESUgMVtGSQ3hwTAJJurAk+ecGsUCOOpBDb6ui3KUsJYgCVyhqmNmYkKppLBLAqFsC0ss4wE8xxcfDFSDBI4rQapVxPMVu4uhgAJs8kMJwhtTwMAYqkU4Eoh5s/O0BNOqS2gXIRbHMN6bTUewqAlVFqEuN1/L6yJfUTJVeD4/vNGQsNyBlIt2UUJTYQdnUYcj1MIByx4I95NY5BgGTr2NmSpni/bOOEQgMv+Yf0i7ZwiN603Yv6qjr7UN+VxOvMcxl5FlF4SucuDCyovuY3gx5z5CnuALJti9EPquOMfkgFo1KjZZKiPDjXPwfAP5pgL8WgLJbBbRCG61ijh2YRckmNxoYcfmNFJxmiD2qFpl7puNJOIkGFCSmpg/CvYklsZUK7DiKuREgWMUhD215qqoOjVR8hFJlshGVBMXMJnjWAVNxfmcAY9hnpUaYLcBegBNjeE5LrSkCt/j1QvIlgK5aCGUdQS8HlUbulOGx+tTGMgD6DkbYZ4KcgZh6oBFJZ6MoFaDVFAg59luGyLmHPsGYqeMwFWhs2TF8VCtStANHitFFHeokiOyLmU5ROy68NlCLTEWL4amJ1C9EqaUJqg5HTx13KAOqIl7wyrhNj+8yyGJqNiVYBsKoqQirO60L0c8b7xQ5CgSIxOE+8xkjGVYOv/v43vNJM3HsAsFGAXaqhXUoEPWPWhsANcU5ItFKJaFUG+GLN5IDo6D498/GjPXOBqbaWlB7Hv9/U80xv41I4UpKbTZV15aqqhqzNjLKqEawV7j4GNpO2/6+hR4NQKo7HZRGfcErNoL3/jFfRUqvr1QjttCENQIefalgnsqRR+fzxupdDtFMcXe9adFFE8Avb2QMW2XzW53miuYVeiloC+rXmycq33BrycAWkNbceN8ZY/PvvIQsyO1TO/LJvx00C/bMJwuJ31N9tzMLofKuXSbs/bkFNqlJSDpOvdlu23cl+w8parHbLkJQSBvmNNzd1/znX0sC00Pjv9d45moUPu/Pv6ZCst/BIb9M86V4/YBDve3jf9MkPdU7cV/TbPxPxXyxX6Cx+5fi/6pCZza2QqYAdxJHwPlcfRXYhzWcwiWdfYhngzxvBOOx5K5h2CqNo7b730I7fkmTDkM6DaxetU6dPQ0YfbMw7GnPIWVy3rg6IBiK/j+tz6OxzZvx+VfvxK/uvY2odTLWxYWzp8hcvHGByroUW08/Nh2bBvrx5RbEmHhpx41H4WCjmkz2xBWVMzpnYGxCWBgcAzz+nqRb6mJMP0mW8KCEaDfDVB2XYy4o7j14YcQVuhHTjDoDOO7v/oZbrnvfvz+rj+jVgtx7+ZHYSgGprXOEM2D9z6wDqGaCOuWN+riD3+5HaVSjIcf2yAaD49ffART0XDM4gVo78rjPW97LQwChxhQeAMl88YSiNxY5GvRxkt3ncJ2jgrBRYLrrrwKH3rzxbj9kfvxnZ/8Hu64jJOOPgobHtmNR9bsRF9bB3aOjeCSd1yML/zsV7j0jNNww58G8B9v/gyqyhQ+9eq3YcOuXTjqzItwzd1342s//gn+46QTMFieRE6xYMs6csUOlGtlVOIKfnf/KkyNTcHKt2NRXy9+eu0t+PHv/ghT1yHVZDz04A784lc/hlOqoFLpxw9/8xv8+c5HYcoaPvq172FpXweGp8ZgOIBcBoZGKpjf3Y1dA8MYLdXw4kufj9tWbcLy+YfigU3bkEgO+poVzO4q4LhD5uO8I44RN5zlMiHZanQaOcSKAid0MTIZYHrrNMzqbcO0QjsOm7MIrIDp37oL24YGYMghvnLNz1DdUUMgJ5gxr4jepma0ddlYOXcRWvNFdBcKmNNUwPaRUSyc0SuWvdsdRclzsXV8N0pSBYqkIa/kYOsFBINTmCp7aD6qB3sGxkS24oLlXahsmMLadXdj0J/E2970UehGE5YsmCUaIo3mHB6/fwNCN8T6TRNA4OLoQxbgF7/4JpROHW1WMwy7BRu370JPZwemNbcIe7hWMDEwXgM7ORNVwvadQ/jCu94sihNE9h5v+5nPR7DHkgw2gyYENzzLKEGLkJB4BQkCts4KgyzBUQyRnMVSBQr2qCAjXCNkEdZGFmfIiKj4o4qULaw8R2UJMi2shFbMxfKoEPREUUG97VKGlkhwmKFGlCXLAg4TOJgGwRoVfMzlCoSFWLNMUeJA/zCBE22ylItFcoGJgqKhN1GZQaeJLLlEZgZhThRmsM1WqPUS7gdtyzriKECc1PPOCO75GNdXt02yHZjlFJIolZAVB4ZpQGOBgamS5yDWlXprqUuII4m8upi2Wb6OxSZSCJVHg2BIZoMw8+yosHJFBhwtkIioR9MRxZpQGRoWEFBxSZurbggLIkP0JM0V8JGUSVNoZ6T9WMjyoGsEhcwi9KATGDJnjvlqEUs1TOgKs/D44YCOgH5MVQHFhHWIqcGbnELC7LrErKufImY2aoglDbrCchACTGbzcadZ5hoJOzazVKOqD4WZiJIGU7WgG5IocOD5ZjJ7D7wWq3AJ82r1UgpdDiBbOUgq7bYWdD1EpRpAiSYR2TpkQ4WiRPRVIwx9qEEML/SgJT5kQlotBzVPeyzzBevlFkmlKiyrLmEos9k0CWGkwVWbhM3WNPOQeW0RyEmSOEdkUeNORSdPKTYu10E4z52Imadsm9ZzQiVd1kxh8dZlDZ7Hkg1ajmmJT4RlnplzicpCmSKsNhtxaIgW3tDqQJTPI2FuIcsmOK8COueQCId8AEuN4QQGEtcQRSO0UbuQYFmayAX0KhMCaIYBYOaoUJVh2VXoKCHwCYCrMOFAkffmUpp5qL4pyjhoM/cDA5qwt8eQbAWSx+MtwTRz8CqJUD+rOarneNFWRXu2AmYNapBZSkOYLevwqj7KbowgYfEKsyF5HI26JVyPRfkGfJ6bCnJJDU25GLFONWKMhPZoxRV/RQQ+gS8t6lRHRph0RZqlKCii/V3zqgLKUtHPc8xgBIDvwrAsKHqEJCJBNaDIDqoOUxKpstWQy8uIXAs1vn+5CkK3CkMNoCk+fEo6D46D4xkwqMzjV7YQ40nA6awXP1Eu8HSD6j2q+PYFf7JZb+aMrz9heUzVZ1nwl45sVloWomThCkdqr+TIgiGq9bLPS2HQvuBfOriv/H32higLeNJG2Oy2pOOpFFxvmnHWk252slCKir10PjgIpVLYx+wkgqa0PTibm9fYzJstk8jCrv3l/mVHY75hqq5szOVLX5t+ZfMVG/ctHY1qvSyUy8LDRgiYzWF8wn68F3JypFCzUW3I+doXiGwsTEnB7f6ag3lMUmt2Y45jdh2NqscU6mXzIQ+Wbxwcf+v4e+HI//X5eCaq0v5Z8PKefzFkTreh8Vg8VUnH31vgccD+Sn7NC89He3srVs45HIWFnbj2yuvQ3daCXGIhSqpYM7YRW0tj6OloxfYNe5DvMtDR1oRlh0zDIYfMg1W0MVAZw9K5PYikEGv6N+D0Qw7Hzl01FPUi9FDHf772kxgZnkB3dwEtpi1ymdpai9i4dQdGN5cwZ2kfZDMHq02Hm8QIlRB+6OB3N96NwxcvxPh4GRvHt2J8tIqY2WSRi2JHEbMKMzBjejs62zpwT1DG2YcdjvzMFpTHyyh05FGYWUDvjFZxE9U/Ooyk4qGvpRVLD18mLGY9son5ixS4Vbq/EnTMnomiZUMyE8xumwXbVnDy0ctgKwb+smYVhreP4oENG7F9ywg+++VvCHunkShozqmQ9Lr1mUH9i+d3oa23SdjEIpVwQ7iwcOEbX4Vrb/4L5syehel9M3HI0j70zZuH573gVKg1CSY0zNXaceW3f4Ev/vfP8KxXXIZd46MCgr3wuadjeGQEXmkMj/7qOswudOLUI4/F/asfE0Hr1owCCq1NOO3YV+J5Z6zEi449pW6zMg2Mju1G//gIypVxaK0y5JyEnu7p0IomPM/CkOZgMnBw5OHzkcBFZ1cRZs7Awzt24qoPfhXLFy8WOW6vv/g/0N3eimlNrcirFrqacpjRnMdDj61Bb3MRk0EZD6/fgVI1xtrt20WmYuLLaGqmWiVBz/QuqIkilC2H907DUGkS+WIrFEXDo9s3oFnKY0FvNzbv3omFixbgmAXLYXbr0JsUDE/WMDxRQmm4hscffkjYn7cPjiDK6RitVhC2GXjo0YdglWTEbojnnXQSzj/+RCxfugBKlMOCjj5sGduJOT29uPSY52LajA64VebzmejMm+jpbkLgAV0dOVRiB/evWwMvmEBBMrBgejtga5gIKlBUFTuGhvGb226EWYpw5Xd+jrHJSSxYsQAly8PWqT1CeRWVAnzz/a/FWSecjiNX9KLNtPHer3273mxLFRcz1CRqY1jowCy8UOQN0iLP5l2hmonqQI0cjoyNsEMzVLAflccDMWUyUj3rLgrFDT6XSZudFIdiuZFXFSo/qrgkRYFLyEerrca22gIiPxSZZizJoC2QwI6WVf7JLfLZVEOcuyIgjHCONlTaXgkC2chLS69RgOtQuURk70KV2NKrIgl8YbVVWCzBDEu3DJ85epou1HlUXtmWDj+IEUt1ZRbzxbjyKpVNLK6IJZiJItRnLAPRdAOJHyPwWS5AhRYdwzEiWnqJ+SwLpm0ISGw003ZI6yXtygl82RYt22pQFXNAuBRLdTUlna/1LMQQie8Ke6rDspAwgK0kotGZNmGWiqhCpaXA9zw4oS4UkiwcIUgNHDqDdfgie5OFDaHIihPboe+1sBLVsHnVC6AlBhI9gSPsuPXiFYOAM6EFWodp0/JahytCESbFCCOWT8TiXFHlEIoWQ048QLOYVCfyVROljJD5jHEEx3fgBmzKZVGzDs0tQ2aLbULlHCEsLZuAV3Ogc66o/jPbhepREdUKEsP0ECk6ZJuWZEkUa3AubTNGFBqilIPNzoYRoX9sGGsfXwdbZ84jj1II16Pi0hPZemHZg0z1rkeVF1VtCTSWdPiuKOihqlKjDZvKSYUXRd3mHDJV0623zPI89cMEeV0SpRWJqkONAsimjiSfRxQQVkXwqrTouoDLttsazCiCqcvQcwoMVYZKe7MNSPmCgOM+rcG8jiIXgcL3LWYUUmUYwTAT6LYs8i0TqAgqhGbsdWmCr7dAIwyVDdTYfEt1sxGJkhW9IEFm+KLjQY9dSHEgAGtQchBHfNfnpexD02MkngMpCCDbNhStIGzRdlGF4oeoScwhVKApAWzTEGpRNuayeZvnMvP2CO5VKnMVzkckVLpuxUdlMkQSMEuQxR0swDCERZ1zbrKAOlbYnY2kxm1M0NxM+6+NQNJhGvU2ZmZUhr6DRCpACaoYHTURJrFoDfZDRbQjJ44Dh0UfMvP4Ssjr3J6yUGHGiSVKRmLv/7+hPzgOjn/XIHj4wKfvET9TpZfNKMtmvBFaEOClX/sbXEZq521svc3CFd4oUB1HCJe1wmZHVlHWCIkaIVKj+iyFQo05diloScFidpnpdqTbnr2h4u+5rVwPoU9jYUjjz9llpUMo9zKKuey6CD2zjazZubvl0llPstdmIde+oFb29em+ZgFoCv2y25xVQqZzx30kWHxCIZmxz2a/9mU/bgS12flutGdnt5nQLgtgGwsx0jlJoRqhZmOhC5+3pP2+/7Hsxhy+dJsam5M50uWnNl7OT/b4pNmOHOk5zOdkVYeEuvsrRjk4Do6/Zvy7202faeOZOB//ylzGy58B8DLdhn/FsZAS3rkfgPHa174AfcuORpMzhYc37UGxqGJgcEi0SHbnW+DUHHS1d6I0UcYeZwRHTJ+PjcO7REPrMcsXY7Jcw0SlIpoVVVvBjM5e7OkfxO6RAcCQcMYpp8Ir+bjv3ocE9Dpkzjw0tRh4bM1G9A9X0Gzo2FWZxJL2mTjy+MX4ywOPwIo0nLxiObwQyD36ML5XGcXCzrk4/eyTcdu9f0Z5T4CunjzuXb0WLz/+BFR0A3tGPEzvVLG1fwd27S6hq7cXW4c3Q60lKLseWpuLWDh7Ie568H5xkx5YMo499GjMndUFRVLxp+uvx4yZbRgfA8a8UTjjHo4/6iis37wB5biG0rgLNa+hs6cdQ2tHRMMhb45RJPtQcNnFL8FXr/k1akOuCJmPapQoxcJaaDYZIsdrae8CLF/Qiwtf/s4n5v+Tn3o93v++b+CXP/wMfnLrrWhScjh67mE4duVReM9XP40Pv/Et2LFpDZJCM8xagu7uZlx/8z1QdA3LDpmB2x54DLm2JqxdtxaddjNyxQL+67KX4Je/fxTX33onLnnRyfjBb2/DjEIz1ozsQsFqQbk0hbNXHoV1g3vglSN4sYsmXUahrZ63tXHHTqxYcAQ2bNuG+Ud1487bHkd3PoeS5KNFyaGzyca6HQO4/ppb8c53vgGB52LP6CQ6m/qg6CWRvzWvN4e1WycQWy5sScekW4Zl6Th2/mys2TyEbWPjWNTSLODZ7n4XSoeEDsnGQGkUllVAsVjE2J5+DMhleAMuzHYDf7rqzzj/kjOxrHMG5syfjZZiDr+55VZENQm9pob1TgVHdXRi17ADuUnHDEmBQYWf72PJ3AVYtWk9DLmISkHGwOOrhdqmFkro6piNjnyEHcMlFIpN2LpzMxb3zoGPCGv7N+HIRUtwyhEn4mPf/wbOXn4iXnz6Yrzr6h/AmGL2WFAHT0mMSa+CXL6I02YvwA2PrYamW/jW1T/BR9//OhzWtQg33XkLzMVLUI10qFQuBbSlMpurCkWmUoglAoGAHhSWsXiBLZtaHIrAe4vmQc2AHnn1zL4grjfJSrKIYJMJ6xgIxsICoYAjEGKOXt16SiswBWgii82wKDCDrmvwXA8K4brMZl6CKeb6sb1VhywFUCQqVgMB39iXWQkN5DSCPgI/giCquyJoVATttQLrcgSPeXEUCjLrT/OF0s6vRcIOSwmfYuqIaQ2OElFYQJCYJMwlY6ieBoMNvnIiGkPZlCLrexVQQsIYQdEt+FVCB1H5IeysBq2jbLIl2Ix9BGykZb4gV+lQHcVlBIgkAwbLBwjo2FrMNmPKTqlczBGG1vP6CDFZuyEHfK0lmkRj1YVsMH+QSigfpqkj3FuUIHIUdaoBqUcrQ4lVSKYu7Jlm7KAmGnmE1hGJp8EgJOOiVQIlB0mgif0Ux492Wx4Hcax9aLbBAmIBxQnvCEmpBOVxjDn/lgyfCk2q5SRNvIfTzkubpESLZMSsPyr2qDCuA0yZmW9JDC1vwKn4ArQqbCAmcEsU6DqBDMGwLpZhsMFYMREkEYa3bcP07k7RPK5Lsmit9WQNTmVSNNTmm9tRK41BtVrqr6vVoHA+E9rITXFcKUTNN+kIXVcUxoSSKdResVoUH5AYaigy6zw3FBZ6NsG7ZZZTEDor0FhnTvWlUJhSTUmgpsChOjUMRFM1P+ggDA8IN01bwG8WLvHfxUIOYSghYKsxz7fAhUc/fcxqjgiGQQhaV/lptNd7ZUQGAZaGgsZl8/xUhQrcjHzoig6HkJ/qxL0Nz4StRuLDVzoRa1XxQYcs6ZDcAFHOQhhQCWjCi6uwValuYYcK1QoQRkVxHlK4GfhcYgTPCSHneOrKIhvT0yxErg+dCvK4Kiy1Iu8yqCHhNcXfM6fPBJxyhDY7hK+YcKZqosGXJwT32+A1IHPdhOdUDNqi2EqqlfgxEmSZpSME45HIQRR5gcwVVTw4vgqVytamvIDaFCPTgk3lomr60G0diRNBUg34YQ1Xfed7B+LPl4Pj4Dggg7AvzSPLwpB0ZIsI0t89lX23UdHX2MJKKJKuLwVJKUzZ3+vS1zyVfXd/SrBGm2fja5ntlkKjRhCVVYBls/zcnW94Yln7yjFM183xdMDnSTbYd75L5M39teqvfc1F+tj+vqfry85p4+sIr1IlW/ac4O8IsfYFLRv3KTv218ibbkPj4zwmVFY2Kkyzy88em/3NsbA/N2xro5ozXXZ2LrPr29fj2blK54h271T5mlrJ0/OcMPfgODgOjoPj6cDh5fsBek/1u7/neQfqdX/LsvjB1b9UyUdV3gxbRu/iZbBsF6VgAtXIRWtbHk5TgKRLxs7aHhx/xCKsmL9YwATeVh26YC62D+zA4M7dUItUlsgoKjrWbduCaT1dmJzyMDnm4M9/vB19ZgGvOv/ZGCyVcd+aR9G/awh7KiVEdoA9/gQOm9uFDeP9mBgdpxAHo7USdo9MohZPYH3LNHz6VZfgsx95P77xne9j5/Yh9I8MIpgksEjw/Ztux5/uugt3PnoHHn58M8aHAyRBhLEdgwjL5KAqbN1CdaqGRx55BC9+zpn46Dteh/kdvXjw0fux6oGHcfNttyBMVDy6dgBGLkGzaBeNceQRy5E389B1A1azKayJvCOPwxi5vhzMFu63iqSU4Iqv/RTOgA+ZDZxhjMSMceLSZZCMBLal4HlHnINF82bjmAXz8KdffgarVv0Kd975M0R+M7Zt+DN2DY/guEXL0CTlsWNsJx59dBXeeOFZ+MQ3v4p1W7ZjQWsfbrvnIZzw7FfgtKNPRrk6ibvv34QEFoZ3DqOz0InZ3dOwubQbt950N848ZiG6mgvQ/FZ88j2vQSUnYUHzHDRpJno6W1GdcqHaJo47aha6ujtRpgKpXMXo+CAOW7QAm3dvRHliDPfc8rhoKB0slbC0YxZyOQtDlQpee9GzccHF52IqyWOwNgZV8TFW2Y2C3YlD+1pQLvuY0dGC5riIYa8krLRT1QpqfoI4zGOGVsRAxcFE2cW82UsxNDSMKcICTULeKECXC+hoa8OcXAciKcFRPXPx9le9HBedfCaWzp+LV136QTzvwrdjaqQGJSfBs5rQp9O6O46eziYokYpxCdi2dRd2bt6Nux9Zh8s/9EWMjg5hyfweHDNvOZbMn48zVq7Epo2Po1wOMTQ5jpa8gWnTpmPd0CaEzIvUFHTnW3HKs5+PfF7HIQum4be3Pwi3JKFfKaHHKuK1z78Qhx1xOF5++vlQEh239a9FiBAXXvRstMHAwPAEhoanIDcXRfmAItVzswiVIrcmIFcsUQWXIKHNjmetUi9iYA6mQ4GQqosCAoQOnEASQI+NtQQ0tLkShrFMgqSJxQKEWVSecX18ruhh0KgQpD1Rh8IcQGHt5B098//YIlsRShtagTW24tKaR2WXSvWTQtQl2jLzeowa4SFo84tFIy+ZJRWIYaKLbQ00E2rgQ04Ijlxh62OLq7Aoq7T3soSANtYEGunY3sQvWv00I0LsuKh5VApCQEeBN7wYiWwiTlQ4zN1jSYbKzDUFBmFnHEBNiGaZs1fPbaNlmeCRACpiWYlEO7MORfIEXItpq/dEq4GYS5YrOFUPcuTCZ7GB6woFlqTo0EnTDOagAbHD94EQhi4hiKnyAlxPmLARMasvKEGLZBiEcAR2aoCaz+w0lqlIMCQbVq7eJKwbKhLJRxyoCBUWRkTCDhyxGIW5inIkAJ/ss0QjRBgyw5BhejGCalkUG4j2XhFeaNO3CtWoq/ikiCpFZhsS1NEazvZYiOZaSSFYShDR6u16opTBooWUqlCzUD8efLcPYvi1irCQV8sOdq57HDvWPI6caaB/z7AodpENC7GmiybVprY22MUOoRJjPp9lxaIAhmUb3Dd+kEAFKRWoEm3ENX6FokRDtWiHLiCuVhFVJXijJRFiqek5eFEgXsssQ4I7nksFi1bhClSV6j4ZHgtZogB6xPM/hpLLi2PvBwnMZub7KTxQkA02Slso1wK4BONKiEBn+0YeURKLkgrJoB+a8tK69dxhqYrJYpoIuQ4LfhRiokxbaiwgcBIw2TIUqkjZDSBp/L+AnlgFYb4dclSDQcs8laDBJHxWr/sOYp/nQQ1a6MEPWdAioxL5wm4sSmqUEDX+zqV9W4LVbMFWVGgRzz0ZYcmDRYWwNy5gpkkLu5aI4hrmfio0oVO9G4GJeqh6LIXyYGgSNL8Khdco32tMKmepRpcgF224hOoOQSMLcCxIWl0Vyw+4YDeJc07i/3VSQaj9mjuaEUw6CCs+/DLhH2AwZ5BqQseCw3Kv6oRQKh4cB8czYaTKPMK1RsXcvooV9vXaxsEyjycy1Fh68M53/Q9F2Rua3vqEnbGxNCM70vXyZoG/b7SVNto8syOr3EuBDOFUdp3pNj2VJTmFN+lIFYIcBDfctiz8y647uw/pXOxrPAlefe6KJ21jYytvIzxL1yVKKPauI9uM26jU40jtwY0lHCkA5H5lW4SzTbN8DpWJaZZgNjtxf/v0VI/v67hzNJacNL4uBXypsnN/58H+FJTZ12Qtyfuy7or1ZI5DOg/pa1JbbrrNjdD16RqYD46D4589/i+XhPy91ucDNWd/i+JvX2DsY3tf/9cCuL8X1GVf97ds89+SDfjXjgMG+daMjeIvD6/B7X/4IyaHapgqu+gxO5BT26AMyji6dRnmyU34+W23Y9OefthFDU35IraNDGJ4rIKuWdMwPDiIzbsGIBkFtNsmHn18PWa0dqKjpQ0vO+d03PPQBuzYvQeKl+DlzzkX8+ctwH+edi5WTFuCacU+mK3tmN5VxPptu3DJ2efjPRc/H+PuIHYOTGD3xDZcceXP8PLL3iQy1NryTbj4OcfBKmrixqKnuQWOW4MKBS963tlYNn+2sMQ1NeewrKsPs6f1ItEilENaxQxUaz6+97NrsWH3bmitNqYmgSk3QEd7M5Z1TUdRs3H4EccijGTs3LoR28aHMDQ0idamAppMC4HrQ+5UUXEcuBM+4qkQcqssbsKTHJ2VsWgBJbK5c/0atLQXRVnC0ctb8fNrr8Xrv/QVXH3dLRjpr2HDhs04+cRTMLj2QbzjXVdgSWcn7BYNO8o7sWbHY+gozMKzjjwaS4+ejq/85mqcfvJSAJO4ZdX9aGvP4fNf+RaGnJ0ItBpGxkfw+pe+BkunzcZgScbqdTuQK9g47sSZ+NgXvwZTDfHl734Pc5Z2wqs6NHziiFlzcddNm7Ft3UaoqGLFESsxVU1QaG3DkYcsRCybwtZMEZcsKVi1ZRu2DY2gOhnggYc3Y+6MOXDKjwvVUD6nwygaKHtVDI6WMTgxhb4eDbLq4xXnnIcZ3QVMU6dhanJS3NCOhhUUTQ2nLFuO7WNrMdMqYFpPEYXmdkheFf7EHmwc3AVbZl6YjLu2bcLDw9vw4ovfjYmJAPf88Rfi/F25aDHmd85EeXIEM9ubkDAfkVY4t4ZdI0NImmyMuxUsmtWLT3/l/Xj7Ja+CbRYwqflw2nqwcdU6vPjZZ2L3eBVzFhyK+7c+BiPWsaRvMT738R/gpBmH4nVv+5BYV2mqhnNXLMLyo4+C6jtQq8ARZz0f3/7tT3HrXXdg07pVsPUQWk3Bh/7zrRivSvjedz8N2Y8xVhvC5NgwWsslocCjVI9MifZMAlA2m7IwQAAqYZUVHRcCMtC+yUw+WguZf2VaqlDdRYohSl8MgmY2jBLmESoR8MWJyDKkypSqsIQqKaqVCNOoOKPN0FDgVGlNjeF5vmg4lSUVGmGNpsHQNaE6810fvlDqhYChIiQQQiQKZgitxBcz01RdAB9mqUm0TlL5pJsiT05igy9thDrz+TT4rifURiy4oBSNrJHPY6g/zzcYmlAQ0obLOaJikVLCOGDGXr3BmgCS+XMB7ckSm2VlUZCgKgEMi8o8QxQO0ApJyEjVnEp7sOMjhp5KosXbKT8wYK6hYpgCXMYxIUqIWLMg52xISigsoZbC3DED0Nk8zCxOGVIQw/VlyIYm8tpk2YBumlANTbStEgrpBHMEnIourMJUAIYuaZsqrNdhjaCUz+P5QRcoixPYcByLhleC9oD2YmgwmL3G2TNoO81BsQtieQGVW5IPS9fgkwyzvVXy4Ps6fMKxyIdl0eJKS2wgoC2VigqlaowVMAxUXFnAYqoyY/DcIZQ1MDVZRqk0ATunoW/uQti6ibbOVnR0dULVbPiKIqC1aSYY6t+F8vAO6IYpij4CNkBHbIiWoGkWdI3WTojmZpZ9iONVtAFbhVPlXNboUoWuO1CsgihTinxHnGMsojEsDbEAsQ7GqwmkpmZRFsMcSSXkeQZItiRApiaHFJUJRaoURGIeci20qU/yExvIqgmVFlhNgcHrRTyPjLwKLWZiJT3FEXJaGVoYIgoM8SGONOVTbArbkGEUQnHeh4aCuMYMy3qTclhz9qotNQHUI0kVik02I9d8G2ocIKS6LXLIGKEoujjulqmi1dShmS78mgdVkqFHMXL5GJYVIqx5QrEomnASRjLIgKXCg4nELNZzKF3aymmqD6DlqW6tIqlOimxJ3t5KCbMxNcR6EQZLXgos4OC2GvWc2SiCzf2VVZgsUDECkQEa25R6WlB5bejtCPgpQlADoyedMQYKqsjZMWzbFdZwt8b2bhYJVQX0pzowEv7/g+Pg+PcOqu0Iavg9zV5Lc+eymWmNmWXZn/natE03/craQUWBwl7IkoU1VM2l/04z9mgP3WeZQwY0ZmFVClayo7EooRGupHbPxsezxR1ZxVW6/BTeNAK+VM2Xfs+WhmRz5PhvgjEq9LKjEfo1FmxwpMUR6c9Z9VkWcgolYgZo7QsopvtDuEclZmO5SXbu9tUamy3ASFWXjfbfJ+1fQ/bevm4E9wXxGlV0T8r8y1iHs6Auuw18LGuhbZwPrpdQNJ1jqhaz5xl/nwW7AlLvndvsPKTr4rJS228W8KWglI//K619B8e/bvy/As/+r5WEZMHe32svPVBz9o8Cr8v/DVbdv2WdjfN0IPIkD9hfyc878Wg4pTKOWD4Xhx6+VNyAduYN7Bjsx/Kl8xBGkyj0duKUY5bjzMMPw+6RMianXBzSPR0VxYeZC9DX04ejZs7D9m270NHSAcnQ4QQBRifHcdX1f8bCQ2dhelcvXnjKSTBVBRtWrcND2zbC1iXkO3njFmKO3YG2xR044tQX4ke/fxCm2gov8DBrXjdGvRrylPQUdVQ9DzfcvwXrtw+gOchjKnZx/OzDoRsyKrvHsGb3JnS3FeA4FWya3I3x6jCqal2RlGvN4Zq//AXrB/oBP4HpqBgNhrBo2izAlVGOY9y/fhMefHAV+vra8bsH7haWPN5c7t4zjtGtUxjaOI7Tjj8N8WiAmIobKoxGA/iSzzgvcYOY0FrWYaO1xYbLGzlZwoP9GzF/QR9UycRPrroBZ577Cjz82CYs6pTx6KiG977v1RiuuTi0rw8F2cJZJyzFnqkJnH/GSXjgjh24+pu/xeb+Afzxp7/G7LyOQvtcfPB9b8WK6UdBdlQcffgifPGHX8XOXbuwcd1WjPhlnH72f+Di91wBVS+iSTHwqcvfgS2P9guYs318AMlUGWeefSQOnTUXXqhit7dbKJoefvxx3HD7/bjkrLMp/YBssbU1qSuMkhi/+/V1sHMtaG7RMDoeordtOubO6MUFRy3AtOYYO0ouTnjWkejf42BbdRzFwUH07yyjmsh4aOdu0V4b+B6MfCsOXXoumnUdjhLD80soDU4iCCV89kvfxwnLD8PmyV3C0ic7EVpbbXzzio/gDZd9GNt27saPvn0F3veJr2BkvB/T5y5Gd9cMuJMJtg7uwhFHLsUvf/x1DG3fhmXzZmH35Ajee8nr0bP8aHiPbYNRdfHoX+7A+vIw/rz+cXHOjA+VEdVk7B4bxkc//gVxfbz2o59Fxalhw+BOKKqEN335q3DGJtAzrRVzW7pxy19+hqmKi4ve+gqRj0VeMlqdxNd/dyXuvfFWdIYmjpq9AI9u2YLXnXoWNm7bhnzeFvNZL3sIRNGGTimdUJnJQt3GfDewPEKiVbOe60b7oCjt8H1htVR8VzSrCqWfzOIOppbRJycRz9TVOYoCjzl6Sj1rjwrCQLSxJgglXawvYE4dLcdsuOUZTQBJhVHkCauvQXWZLCPyIxHwL1ncYhbLBPB5w87sPolqNEXkvokSmiiGz/wtn6pFlowQxLFIg9eHJ6zEnC9NsSBrlrBLJmGAnJ4ItZbvuCL/K6RqiPZbgj0CFSOBGvvQFBaSUGVFqzKtw8w2pM0XAq4kAYFJhHCSRRwJVMKbRILvsKhEE225PNeF+lFNRH6ZDlfYpCXNEtECBHbs5ZWCBLKvwIsdlEWrsC5Uddw2l+28LCQweIxiKCRMqKIaE5CxqViCpEZIDBO6bQkoEwpLLxtsRfessGRTCUgQ6UaysLTKsBDJnihPYA5k5HCuSJ/4u4CTgciVBSCkuo+lCASXJo8rwnrbMtuZJR1xUIZmUEWnsakFvpKrgzOCVzpTJVXk/FFNpyZVJIYm5oYFFrSaMnetrbMHxWIXwkgV6syuvj6wX5dFGkL5GdQEMPWdGJ3dPSi0dovSEIv2b02DppD9mpAZYaByX2NR3KHYFmJdZ9czZFpAcxrigMpWwGNWo18TGXuGYSISsMxDLYyhq5yLXB3U0dLOamMpgGYayBdVaMzhi2OUaUmlfFHT4TgxGTUmJx0kch6mxXzHAEHA60yFW67B9wLkihZiJ4JiuOL8ZfmM7xnCGh1wbrVmaATtEW3jiZhTAnqT7deRgppLhV0OBvP+ZI0piUIBq0IW1mbNtmDbPhTLFNmnVM3yXGIreuJL4rrxJAl+QFVsIq4ZyBYqEaE+YbpM9AizmIdPBW9IFa8MxbaROJMIpioCwkcxYyKA0PUB1YSnF8S8sUCF88Xrm00foazCdWLxfxdrqdnOTbs5MzBltjrT8l12oMQOEo92/BA6329qgyKbUopVRBVPWOwJb8s+wXX9fIriSQGP3Wo9F1RuYWGPdaD+fDk4Do6/exBmEPakoCYtMmj8gz2FKdnXEWqkPzdaLzmyyr10GRzp69LnpnlyIgcwA6jS5+2zDTdjHW4ETFk7L3+fgpo0Zy6FPmnuYGO2X3rTzvWnIIffqdTjF5+fVe1lQV/63DTnLV13qsxrBED7spGmQzT87oVS2W3Mgqd07hsz+tJlEihm8+OeWPbe56VANjvSOdofkMo+Pwu6spbqxvU0fs+CN65nv027jXbftGk4MzdZRV22UISPEbBlMwWzc831Ur3ZWKiRrpO/T4tMsr/jclLAnALWLCDOLiPdjkZb78Hxv2v8X4Nn/+rx98Lxf1WG378D8l76DC9lORBzf8Ay+V70tgvwrIVH4U8P3YeO2MKO0hTyTSZajQLkFhXbt4yKhlvLUDE4OgEpVNDRVcSIWxXgyNYsnHTkCqzZuh6tLa3Ytmk3Bv1RoQ5oLbSiL9+EzSO70L99CqeduBwPr98IOhINti1qLgzVgGlLgCOhQjDgeSIkf25HDybCKqqTtXpuWAy0FEyhzph0S0j8BIkb4/DZc+sB/MkoBkvtOPKEufjj9bfBL1dgN+cxs7cLfuxDL7SIYPP77nkEcrMKf9ITmVeHt8/ChFeGxeZXOURlvIRibxFjtTJOPPEwXPObO0SDqSzJmD6rA9se3C36B9pnFzE2UkVSFnH/UFpkLJg2A7uSMZS3VVFssRCUPXhxgOmdnWg2c9g9MY7nnvVi3H3XdWhv68KsuXPw8pe/FG9+43ux8ogu3PLwBnzkwouwZmIIt9x2OxbMnoWdoxXM7JgFpSBj3arVOPqkZXjw3h14cNMDaOttgUH44epoLeYxFHpoVgx84avfFcf2p9++Aj974Eb0ei0IiwpigglE6MjbyCsdOPfCc7B57VpsXLMJF15wOjb3j2BBUzscPUHfopko7Ynx+k+8v24nZXyZHuO5J56AWx+8H/N6ZqO1YOLeLRvRZOjoaJ+NiaEtmNbRg2pVx1RlHFXTw8tOPx8/vfla9Ba7YUYu1o0Mw4gUTAY1XHDqWShIJkacSdx8912Y2dODPSODWDBnHuZOnw5LzeHHN1+D+Z3T0TFjPjx3B55zzJn48Je+DsVO8Ik3fwjbBh7F1ddfh599908454Wn4UUrV+Ind9wmWlAvv+QS3PjIKgyPDMKZKuO/fvAtPPyTX2DW3Fn4wOe+JnKjaGV98yc/jV9+9jM4rN3CnzeOQLWZdzgfh7S24Id33YrZPX2oVKYwNuzj6IWzUe20sfHh1QhDGQW5BXtKu9Gay0NTaZ4uoq0rh6KZR/+uAMPeZszs7IKHAMXpHRjesh1NrX3YE9r1hlaXgWoM/QqR0CpHfBYn4iE24bKptS78C0SwPts0ZQIMUhMiDjbHRjIkk9lsfEugqk5DSKsrW1QlBXpQFTZAlkcENVc01wrbncxcNgUS/bCxCkUKRIYdLXsqs+uocAoDhJqO0HdFbh6BVBKoSFTCpUQAGUIoAqFqLYBumwJchmzU9WNQ9IaAFmDuiw5DSUTZgxKWoUKHr2rQWMigqKgSqHA+mDWWN+HUWBJA9V8OCWEPbcEsmFAMUZRTdQDN5Lq5DwnCIBaghBlruuyKNtQwcEU+ILS8UDJKfgUSlYpUqPo1qJaJOEygGgp8VooK9zIVqFE9z5CQLolFA69o09WokvNFDSyvC51KxdgVMDQKuB0SlDBC1Q1h2BqixIVhdyBwqpACD3IhB68mwUiqoiQiqDiITUKlELpFSOwLqMgGVIUfbBBgViLYORZzsFSDaX5USRKYJQK6sF04ZJmBU0FCi27OhCor8OMQGueUM001pBzBYNlOjcUREmLHQ0z1YehB1fPievBZ/KDZsNRQKEIJiOKIVmcTJlxMlGsIoxidnR2icjUIPYTlElRmhmpsP5agayrCyhj0pibIsi0glRdOQKVy1ST88WA0G4irBEueyF5lu6/C4xJGkAwbcTQFww/hyAbUsIZQb6pnN8a+cCQTRrlKHoWgIhSioJ2UcDqholGGZrIIxBP5e77HlmmqAQkWNaGck6wcEs+DaVtCCW7ZpsiLjJMSIsrSqLqshgKI5/MRQjdBFNZ4FcOIXfiK0FpCY+aiEUCNZASKhqTE64XNw1TN0hqvipIPKSjDSxQBqw3LrIP0BKj5AeSEpRkE8DLAYgzFFICNykOWNrGzQ9J5bUswDRs+cwETCOWeFISwlQBeqNXLd1jCotbzOjkHtIP7ocdEPTiKJYoxNEJn5jpq3GdavTWoMW3zEnx+qBBxWYyeAEyNcQGWOKejqAzP11HIGwg5j/CQuI6wZFMJbGgsvCGEpbrWga631Etc4gqjLpHwOjN1esVx5be+dCD+fDk4Do5/OIcvmzGW2h8JPwhJGosPUnhFZdvTqe7SfxOK8UYtCzn2pfzK2i8bM+74OMEc1WNZa2XjaMxH+/pU/TrL5g0+1euz259V42XBHoEjl5Eq/gj5svOUXcf+8uT2BZ6yEGt/g+o72qEbc+gas/XSfdnfuhuzCPe1TY1QKgusGudqX/PY2GS8v0zExrzAxsez23bRpW8T+/90+XjZ3zfC1afajsbXpudceg6nuZHpMp8q5zF7/mSXc3AcHP9M4PSvgI7MVTvtu9uf8t/pyD7+j4wDmRf3r9ief2R7P7b3tdllEOztD5490+bmqca/PJNPrSnYOTAk2jGh22juzEExNNGUWp2KMaujGVNhFbsHx6G3mDBaFEzPtQnVzeGzFuHIRcsx4ffDcVzs3jKAUK6hSc1Dq+RQdibxgY98AW9/y1tQaDawftNudHU0YWZXO2Z0WgKOdTS1YGLUAQxZ2Nq6czb8KIFnJqj6NTihh3GvislaCX1NrUig4NTFh2JstIR228aOqTFEuQRVfSYGpjaisnscXcUirFwelgkYVSqBInSbCspb9yD0IySVGKqkoLloQW8GrCDC1sldmKiUkW81Mb2zA+968ztw7a/vEnY8ZoHxpmnXqiFhw21utjG8uSQqc2lhMvM6khKweeNucUPMUaq6whpMbdXg5Cj6R8bR0dmBn99wJQb8CA9sWoXTT/wPrH34AZy5cgEWLDgS1VEHt258FH/6y114yXNeiNgw0ZfrRlefgVdc8kJ86kvfxAXPfyM2TD2OJXNnosdoE2qdl73yVfjwpz6BGe2tAvB9+9OX4/L3Xoaql0NLTcdQycXY6BgmvXGsPHI5FKMVH/nv92PFUWfipzf8CVpXEVf99Bo8uGUdPvvb3+LODRvw9W9+B7+/4XeiDII3mgqz1EMZ967eiul2J3YMDMLUdDRpBg4/ZDna8zKWLV6OskeVyRT6vVHEVQe/uP5alAZL2LFjBNuDEjxEGJiYwvR8N268/Q788v4/QYl83i5Dycvoa2lBJwoohWVMjo2gGrpYNbQVehzig+/9Grb378Tvr7kRLzjxNHzmO1/ENTfdKcDGfTf9CNf/8hbcs2UzDpszG3Zo4DM/uhqGrOGkI5fj6qu/jtlyH6685c/4+g9/hpaWAsLAx/TOVvzhK1/Gymedia1TPgzTwPEnHYkFrTMxd948fPc978F7X/4yXHjOuaDB8fJPfA33/uleXHXhifjlN36MgdF+/OTdnxA33U4FKOYkbNs9iLNPOAWSuwuqGWPTrp0YrUxgz2Pb4LkxJidG64q7mGob3nDL9ZwumcoxYj6quVjCEaNac+tZcdDgs2U29uph+QyUE4o8whtaWJnjVs+EC10qvVQRih8HHkJowkIeeSH0XB12iSy/iE2dKnwnBKPDaENl6y6BFZVFbMb1CcMc5qkR8FFuJiExVJGTx/ZfYccF4PkeLGYECgUeoR5D/COYsY9Ypu1UqreSJlS+BUCsIZAjxL4jIE8lIIygolBlQSlCoQ5kJ4AKtpMkhGdKApXKIdp8AxmqVRBAlADSLVdF2bDvs8jDR0RbZFATCrEg1uE5NehaAEW3wdoLKiVpqSVY0jWamKkCNOv5hVRBhcw91CEZvlBwUQjJt93Q4YcDBH8ElXwHY7lCTuSl8b2A4COgMrDAY5RAcdjCOiXS7ZhXlwQhcoqLQNZFth6hoRbTXqwIdabGHDU2xFJRxXZcng2GJBpffb7tM8eO+YCmAt8NIbMW2Cc0rMFsyUNuK0BmG69ch7wshdF0Fp+w8ISlDlSbScIqGufzwj5abxiuty6rhKZsfSZ0pkqPukWLJSURtFwOVj6HtqaCaCLuaLaRz3dAb8ojURKYzCtMaAL2ATuP9pyB9mKAGYu6kdRiyAUTzkQVEs93ntdRgIiWZ0sVAJmgVqgLy0OQ2BprmgIYUnloxmWxT75QmYqPdaBGDmoEuZotQKvjBjB4/lA1WJ2A41FNqQibMm3txZwK0+B1pcJglbUkCwDGspHYdcWHOVJsIK4ECDwfgRHDMHxUS5wdCZHSClnzEEi0vPIYseE4gF9VEMgy1LgGNNkwTUOAPS0XI+YbJ02/BPohoDLDEaKCWWRz0oFv6MxAVOu2dlgwaH/n9cZ3A2YWulXoigyvCpRKVbCChxmAclBBQpDPRg2D7dMqZF1DUFVENiU/CDD1CBYViIYhwHIixwhZmEFAX5sSWYOSF8MPNEgKzzm+D9GqzUIYDbHjC4UrIh9qrECzeA5VIFNdvNfSH8lC/irKWqqBKizizAPV9ASKESBU8sg1F0X8AGdS57YdHAfHv3k0ZqGlQIIgib/LKqRSdRqBSiPga1TYNcKdrJU1zS9LB5ed5sOlarfGdtZ0OdlSjsbstGyDbrp8wiuCrxRkZpeZWoT3t/3ZrLYsbOS+NIIawr7sY9nnp+qybGOxaKRtAHy8Qctam9PRmONHa3SjspIjC/jSmz2umz83zmk6uB2co6y68unKNBpB1lOB3hSw8YtwLD2WjZAwm22X3Zbsc9KRVR9mb2rT8yH9XdZ63Li+xu1o3L90zvlaNvVm95Hgm/9mtmNaQJId6bFtBMrp67J274Pj4DjQKrF/FeDLfm98/J+1/880iPV029OoEv57ln15Zh1PpY5Ln/ePRAI802znBwzyjTs1PLhjC5570vHYNTmCqZKHbjQjZ1hw/HHs8Urwy8w7ooUnhBPEaO4x0VS0sXpoA65bfSseW9OP9VsHECa+sC5WvbK4qdckA/c+eh2+9fkfCctrLq+iU5jZAtj5FiyYNhO7R0bQ0lpAq1rEOSeuFDfeF551JkaGJlCd8GE328jlTVz0H2ejtbMdx85ZiOsfeBD/cdJK6E1FWHoBY/2T2DO6XigLu9tb4URlVAkb5RxKagXF5gJ279iD3dUqLjrr2VjYOw12i428rgK+gT1hBVbegit7+OqXfozVGzbhgx/6L5THqUiKIUW8+UO9FdSWUPED6J2028WQ22mxC9E7rwWJlaC2voamVhtJLYKkK9CaFcwq9MFJHAzu2iMsfL2GhSAI8aaPvBKHHHGaaKhsbpmLgqmgxTahKC5+c+vtmBqr4nfbrsfCObPxh19dgx9/6VvimEWRgqMPWYqdkzuF4vCk087Emkf+DEMy8OGPvAu9M2ZiwcJ2bB16CC9+ybPxrJMOw6nHHoPXvOT5uOO+h1GeHMTH3/ffuOxNl2LFgqUY2L1N5HqRUhSNHCpTHgqFduRks26vDHjDRzlZghYLWDh9NuY1d2BgaAyRouGB1WtF/lneKGLpvDZhtfTKAcZrPkq1Ko4+awV0w0FX0oV2KY+21jyqsYPA83D40vm4c/N6dLS1YGR4Ar6vQG9X8cebbscDj69DriWHRIoQOszQAqTYw3ve/ipxrtkx8J8XnCdUKRu3D+CNb3wxbK0ATZXRO70Zc9pbMTk5ifVDPj72nk/gg+99OT596WuwZece5AMZRyxaiEopEKH0D193Iyamylg8+xDcfP1f8INbfoM1e3xc/dsbcfU1N2JRVzO8koNPffzduO36O/CRP67HF793BRa1d+LVX/kvuLIvjvGm6ggm3DI++K0vY3tQQezI+MAlL8Ob3/sOvOttr4HnRjjjxFNgEiyRCqmKsMMR0onwMEI0AhiK6zRG0xHk0dZLayXVdyxPoN8xFpCE5RexTJ0OAR9vtiVoojyBqqQEJmGfTLuqECeJVlHSMBZlKGyljQKYOhMtE7i0/4r8urotm05c5qwRoiqSjJhQIaorv5jnx9w6WoqpJqTqK0oUhGzlpD0ycKDlDDjMtuNJpFK0KMFPEuh08xJq6rawBsoCVtZLOCLaA33CGVmoyCKfQkCiJkWca44vCwsiVVCJXxLWQUqONJ6/cSgshYYSIag6UA0LmqnBstW6vdILxLXFUo4wCuDHBgKXoKie3UY1IthELMlQaS2OXciRXp/vmNZZIRmGHBPGEKLwbZjvjT40WYXn6PV9iQzEnitgklJkQ7EEmUUQmiKajT3FhE6gpGrwQgM+VAErWYhC5RVtxapKAzJbun3IigrF8UVbMBGknDjwnEBYLlloQQsvzwE+VqDKM6fBj1Ric/i0JRs2XLaiEhm6EOpQVzGhlcdhSoSBigClPB/kwIGshfAIcfkfTRLB12zxHlBz2MZbgMT3TUXFxNQgau4EJNMQDdFDeyYRJzFq3Hc7h4GxKnb1T2HDwxtEw7BXjSDbJmS/isjnsVZFdmRMxRrPzcCBTuik5QX4D3wJcUQLsYNyUhAFMMzzS1g2QZVnzRe5fonngKXMVM15QSgsvUqhCEk3EbCJmu9dQYIyzyVYfBNBks9BNTVh0xZ5j2yhlRWRraiYBnL0nToSPN8SNmvmKaoqy00iyJoLRY+QLxrQJWYcuqIlOolM6FEFiupASQxRpiPLCfyqB1UzIBdZpqNACxzwgnSZD6jKUFnAU3FgEbMXVMRUifK4RyUR/WAWC6gxvtFk22+EOGa7cAhDNWEpVURs+oh53obwoUAxFEDNIS7X4FYCAcyFITrfLBrODRbpsJTE0GGrKvQ8FbIOKpEORVFRtBUYug4jqMGJc6hU2CgtidxFnReklBPHxZssw615iD0JWt4mrUREuzovUH445JdRLpE1hvDKFZi2LSA1AebBcXA8E0ZWCcXBnwmS0t+lkCJrE01/RyCTfc6+YFK2gZfL2FdmXmoZbrReNsKYxufsq601BWn7s0422o6zBRzp8vfVhMob2BRWpqCG3/lY+p2gL6tQTKEmv6fZbOn6szl76fL3l8+XBW9PWID3Ae3SwRu9NG+OP+8LCmbntdGW+lTj6SAcRwr20mPI9aTH+EkwbK9iNLscbsu+Mvb2t5/Z7cgC4CzAy1rL0/U2qvCySkBhc94751lrcLrs9HHm+PG5T+RP7t2HNHeR+08ImF3f07UsHxwHxzPdCkxlXvrV+Fj238+U/f9XZGHuax3/jmN3+T8AQv+e7d0XGDxQ833A/kqWvQjOmI/Nm3aINs0gCDBYHcaQW0JU02FCQ3shh4vPOwvnH3sqIidCc2sn4iDGa089EzObezBYmUJHTwGOKqGnvQknH3E4bFODHVlYfdMaNBcL6Mw313PCCx2woWL30Bj6BwcRKhE6jAJ2Vybxp7vvxvbRcdzzwCooLe1CHaXHOo6cMRfX3ngX7l+9Drc8+oDAGWv6d2HXeD/M1hiaRsWMhPNPPQV3rLoLkmfjE69/B6quIxp2h7fuQn+tis6mHIZK40A+hlxJYOV0rJncjthUUZqqolx2cfYLzgJvoQgRDpvTg6JlioZTLUfFUyCymjyCIU3D0QuWISqzwVHGqOug2G6JnLWJ0QpkSxZZZGcsWImWmc2ouD4OWzIfR81fiJIzhtZmG4HDsCWg4ka45brfwKfqRJPh1GK89Pwz8M4PfAxJNcY7v/xZ/HnV9VhbvR9r77kJl7/yYvzhoTvgxxJ6C01iGbffvQE9PQU06xDW6V/efTs2rxnDOee+Aa9+x0exevtabFxbQVMhj0k/wYAzhiWL+zA0MAhVi3HKyhXYNbAT07pbcM9DD2DXxB788oFbYRYN0dBKoNFWyMGaPgtbJyZQTnyMj5RRq1ahRB62TQ3inBOOwUNrBmHnLSyc1w67pwBrWiv+cvO9kI0WbBzcDKsph6jmocq8NSvGvfevwfJ5s3H0UUtx/CnHwLAi7NoxDj2vohpWUBt18OKzTsUJKw7F1V/4L1x53Z9Qi2uYN28GTjv1JBx3zkvxwpVnoKDr+NrXfobyaAXz++ZhZKSEYqEFm3ftQGVsM3ZXgI07x/HNK6/D4oUzIZk5dHW1YWxyStj/hqlY6WxB7/QmNLcwr0vFzTf8DKu3bcL9Wx7Flb+5VZRAHHvIEnz1cx+BrPgY2TOBuKjhkJYOHJnvxlmzDsUsqxmLOqbhxt/cgnPPexF+/bMb4JQDtJdb8N1v/QRHzJqHoU2DIo9NZK9R4aYRkNWVcbzxr7dQMLOO6I2KMObNyTAkSbShBszFUzSRI8asMYKEWFL25vUFQrGn8jE+l6H3qi7ORULCwKmJ7CxmfzEfjCCPKj74AWxVhsIG3ziBwVw/LxTvCYREbJ/WaL2TCPxiuEEIna2qCWGWgojNsoRQVBRJEux8UZQtEIwkBEpUlBE+eI4oz5B0DXHI0g86LxWhglNZ/xlSqRZDUerWX6qLdInXEvPZElHs4FRp23SQSIaw0SsS1Y6EXRH8yBAlB2EUkeuIPLXYC5GQWsmUEkXi2IoMOLYQQ4WhBPBFO6ojHk+o6FN0ofZVOcceoYyFiOyCSkkrqluEVVUAwThwhRpRN3xEEcsVIlhNBYSRI9SW0A1EkYuECieWT3AZtMBTicfSCZm5aywDoSVZgRPG8CUFYRQismyE1RrimNl4LMGgNZOZiFR/BFDYaivUko5QTtVot665Qi2nSI6YZ9WrwmJDrOfAKPAcgpi/2MjBcXnsQ5HJSLeopBYRyZbIECRUjAk0a5MIWLZAbZnsC+A1McaCEK0uX60yrw0oFvg6AkodSYUqMwmx2QzToE2WdvQQklOBy4KInC2AEGtMZFqFFZ6j9TIZfqAUapooEtEJ4mg5T6i0s5FoqoCjAtC1NIkWXEJsTzFg5kzIah66acGpBoiqVP+ZsAigmHXpkuXVoBZyQLUCOYmFFZ5ZioEfI6ES0AgRGoaIjeD/snnm8jlVxGzKlfZCQlhwSj4Crwbf94Wajm8iskkFLcBT0XEr8D0Zib/3WFDNGhbEtaEojI7QRPttqRoKO6yZK4h9rkaKUKHyAyLaelkMkmgJVCroglBkV4ZKvTwjkT2EzPqTItiYEs3UasVDLBqlmSapQ+J5A1q0q+L4KyzEoW2YWY2JLhqCqeK3RKN1WWT7OW4ILa8hsdhg7MAuWJA94kPGAEhQWcIheeLYMONPVhIkTg2yU4JB+C/ZCHwVTqjB1H0Eji9yP0OvJhTFlZDa34Pj4Pj3jjRrLvtvggiCpKwajYCC8KUxgy21wqaquCxMSr+nyiv+nstI1YNZpV8K5tLlp8q+9Pdpvl76mrTV9UnL2ds6m80IbLSMpo+l68mWJWTz3BpvVPgc3rQS/KXwL1UdprbgRltzdg5Sa2e6LVmFV2NTcZr7lo60xTYdolzjKQBful8v1+rFbNk54thvA21DXt6+ykm4HY1AMAvqsvOVfqX72QjU0ozEVIGYzk0K5NKiD3E8985HY2lJ+rpUdde4j9lCEv5M4Lw/i3cjnM3CXwI9QtxGCMttz4LoFOZlv7KQcF/rPjgOjv+toxH8/TsGLa7/CgXgM01l+K8a/0yQecAgX5PVjCWzpyGwgROOOgxzejqFquvo445BoV1Di16Aq4W46tobMFryMa29Bbff+wAs08QDI/3YOrAb8zvnChtQd3uzyHsbHRoHCxWXLJyJ17zrPVg2bzq6utqFyqXmRThiyQJADWBZNgqFPHaPlBAkATo1goEEvA1slRwsXzwTURJiTf8OxLKPaX0zUHMDBGGEeKyMC1aeIBSEnd3TkLQGmH/+YVgwYyn0XITPXPlV0IHMnK49pQDNBQsTTohtA6NQ/Rg68814y55ImGa3CRVVVIugddDiJgvr40S1ijc97wLAYmC/D6VVRUtvAZdedIFQjDz0+BoBZKjScUZcEfJudFuw8xpefd4FaGo34TsDcMdH0VpswoXnPRv3rlkjMgITJ8YRCxeIY1ALa1h8+PF41YsvQBw0CWvXhl2DuPf3X8fbz3s+4koCW8/jE69/Ox5c/SA++INvolxxYUgmPvj6S/Hc887AnWsfxIUXPgdzerqwbfsO/P4712HBjMITx/mtpx6KB7ffgfJkBe2tixBPlbGlVoFekNBkFgFLFyqzRzdtx0XnnYXZHc1YMX0u5re2IaEixUswe/o0JLv34B0vPRtF08RorYROtQBDa0ZbvoCv/PDnmCqP4AWnn4+vf+6n6Ik7MbZtFLNy3ZjXPE3kZtU8H3Yuj+c/ewWOn7sEZx19OKqVKibHSyhvGcOM9oWQeiLMbmtHWa1ClxX0b5vAlv7d6J01Da991vNgqTZ2Dozgha98Kz7/4beL5tHjj1uAW6/7Hb539U+xaMEc/OqHvxOAuqnYCcXTUcy5aGlpxysueQkM20ToTGHnzn5Mm9aJLduHYZoWLD/BdTf/GaWJEvJ2Hq98wfOgVyP89qob8bHPfA1SUcNVf7gGk1EZjidDrzroLDRjQorw8W/9EH6LjVd+6v2YO32hmPMXHXoYHvjjL1GOfUwMPIaS7OADn/oSjjl8Oa78yBUiZ4vFGlTvySpvzGVhDRV5fGYd3rFsQ2SvsYcjCgQsqPda1FVkYajWAaFobzVEED5BcyxR3WYIayYzLtmaSbWP0WQzTg6SLtVbeQkHAyY1yoigImZlqCLBl1UEqi5sq6xyENZgBusbBiJaVWMqjnhDz7B9FkewiZnwQIVFC6PrQApVoS7UdAmRUxEfDMRWExKdFmNCSVkAEJ3ZgF6MQKJqkM3U9eV6wjooQ9FlxBFfIwlln64l8BUNOmi1TOBHVA7WczNlJRL5ZLTjmoqCJPDh8XcET0EIN2mC7zJHUIZkaMLeyLZP2uxlKydgmpI4IpuOAFYoE1WqskKYWj2rT3ZpvtUQeK4As6qhQ1dYDkKLMtMBIkTVCpA3ETguEo9ITkWSmAh8DTV+iMBiDpF1SfhK5RVVYXmongvdSKAxE02jlk+CUSgIFaRCK3DAVlcJoc9ENhlJSMjK40GLbT1rTZMJRF1EAeFwDqGqIKBizVDhlGrCeu0nRI1UjybQ7To4YyGIbMRQCO6YzcdSGM0X4E3XY4R8Tczm1lDknbrkYJouAB9z5Fxm/VVdhEEozkHuo1QbRyzsoZqITZB1C7ohofXw86EobMUlpHIByReQ2ndrSAjwNEm0zNaqNXhUVlLB57pQk/o1QeVdTELp1GDmbFhKAq9aQeTX4BEUs422YCGUQzhTnoCxshEh9HVIIaFugsitCWu6JJnQDVrFNcSxDDOpQCcMViO4BLF6DFVkXMaQXR+S7EEyZRg8OqoFnyo/xxHqx8StwQlMFFqKovGZak7uW82pICA0jz14LN2puAKiEg5qqiuOrcJjXKshrkyKiAiCYFrPwQxDI0Ch3gYDqBECNvFaBaFWRajD11tATSjhKa8h5geqsg+9OQ9TlVEoUskZITR0SGzxdj1ItHD7zOTjPrCJuhmGWq23/1b5nmJCDvnfH7MNCfR98n4oSSAyQNnuLKmGaLbn+w+BtJEzoMYOrCLBvgU1DKCyEMSLhI1cpSrXOyBxwgfHwfEPjVTplf5893/9UXz1vf5+8Z3QgmUcWWVVmlPGkarTOJ5OobSvBtV9Nbo2WjhTKMbfpzAuq/x74nWEKRlgmIVWWWjIn6nA4mi0He+vcZfrJOShaiGdr6ydlwUOHFT0ZdV7jcvNvqYxa+5J+7BXRca24Sf2953vEpAqWwjC3zc2H6dQKwspswrFpwNNWetsOjc8F1I1Xva4pb/P2qFT4JYer2x7bbrcLBDLjrR1uXH+UlD2VNv+RElJ5nmNx+An3/3ik4BkNgdwX5mBnG/OcXY79rnuhnM6veHPWq2z8PZgy+7B8f+6pfIfOYepWv5nWHv/ngKIA3EtPpOv54/9G7btQAHPA1a88dkr3onRoQgVrSZUOUOjAZzqlGiWbM+3COdNXs+Jm6vAtVBLhnHIglnYM1LFVDyMyogHizf/iYyZfdNwz4OPCzWgbOt4z/kXYtPULoxPubht4ypMtzswXBlFV28PLAfYODqAOa0zMDg6gMXLFmN6sRN3rn4Yh8/rxapde7BwWhsS10ZTUw4PbdyI+Qu7UBsroT9M4I1NYrJaQUdTFwpNOrzYxXNOOB4P3rEO26o74ZZjnHnSidi5cR0cV8PaoS143fNfgtXbH8Gq9dtRq9TQ09UGOp38ahUF3kgrIcrDFdSkEAvz7VizdTe+9PE34d0ssqBiJwxh2gaa5DyOW9yLOzZsxdSog6ZWC4EU4exFJ+LXj96MprYcJrZPoqOnBa7vQ/E1WHkFY+UJkZ30yVe/Bt22jR9dcw/e+eGP47pffhXNhoVdY2W0dhTw8z/9Fq96zvOwY6wfk0MVWHYOo04NLbKFJfMW4Ps3XIvZM7tRnvJQGa5ga3UQxy1cjDNOPQEP3foQWtrbsPLMC/Cjq7+K1oKNSy57Ld74mrcLJUi7nQN0C7tHBjE2FeHYhUsxOjWA41eswJotG9FRaBE2YaV5Cp3F6bjh4QdQKQcCsAgrYww857RluPvWLYhUYM70Tqwf3Y2erg7MmdmFnRvHMX9mH45c1Itv/PYmLOicji2b+7FQiVFt68NUNIrRkTIsRRWttc86+3SEU1WMBZOY1tmLRUumobTNw51r78edq9fh1mtvF+fpJRc/T2SHHd03G8ecfjhWnPpC/Pb7n8fspUdi57rbMHPuAjyyaisuftMHcPMvrsaEXcOOB3aJXKwde0ZRVCMMjpUxJYeoVmvo6WtDddjHoQtmY1xy0KIWhbK0u6MFawa24z/OPg9tuozTF56FK35wBd71kf/Gy9/0cuzZsx2apGNuXy8UWUaPaWPd4BgcK8Ivvv5rfP6TH8Sdjz2Arq5p0DtUyEMevvDlq3DZ21+D+YsKCEcLOOK0JTj2uBfiJe9/B2LK6MpUt4V1W6hENRuz2CRhg1UsGzHbMamoiyVhi41rAaS8JuytfBtghh+VP5QlCcdvGEJlA64fIUrYsMu8LUk0RXO5zL6khk2mqkfizT+XbyMKXKFg06UQocRsLdq02UqrIiA0YbYXiw9klk9QyUNpW4DYsBFNjEG280IJR483QaWqhsKWyZA9qrpopRXNnbIBKQgE7AmEVZNquEQUl9D2rRLeMWuMkA8xLEsRtsOIBR+ygsD3EcWKKPGgQohqJY0ARtdF22zkuQJKUsVGAhqrKgzmB6oaIhYC5PPwnQgBS0PISuN6Gy2z51gx6ldDobLUCN6oyI14/sdAaIBEi+BT7Dfz89wQkcL8w1A0w1IdFlLWJxpE2epN4BIiTqjwi4UdWlVMRIkHg1BON+H5DqkurDBCyMIP6gvlPOC5AkxBzSOR2FRKZy63IxBKQn7Wk7BpV2HxARWPLGlxxDGNCE+DAF7kQddtGEkAR82T3MDUY9TcOhQ1rBjliQg55sdpRbiVGmwlhq9aUGVPtMayzVnSbUiRS5GnWLeAoRY12ZyvGmLFFGUuUZyIPLoIObRoMSoum2UDKLRhi09EdJgqcMrKebjxLxvrx4xQuloSmX88JrQyE24RFDluBE1XRUYhiyVYWEFLKdtqCb+jiJCYGYMeQt1AQLs/fAS0x7L8lmA5phLQYyWNyJwz8gTbMUJFEsdfQFa2HFs2pFIg4hcKRQ/wVMQe8ylVxDobZQEvpgLUQhJXRZGJqRnwZNrXC+K8NMIQjmj7VREyzzKQoVgyYs8TAF6oc1UdKmiFNdFkOPB4CDUVXjWh41WUXiQR4CUqeAozFxWyLeCrZlnwkxgSzyOtBUjKCJJYlN+YioZAUmHqAdwKzyJaonVISYBYM1GbKCFnSKKFl9mMFgtAWAjD61hiQUkowJ/MBmm9blEm1PWcCIz9Y3GTzOIUWoUjdivbsOwE1UoNUq7AImiYqAG5ZoROJAC0z+vUokpWhuOp0LRQFPL8+MffPhB/vhwcB8ffPVL1GP8oTy2o06afsN/n7s8Gmz6W/nFPIEab4hOWx4wlmLAnLcHYV9lC9vn7+ncj0EoBXgqg9le0kKoJqbojlMsq79LfZQs5uC9UgWTVYylsTJdJVV86b1nFYNZqnC3iyL5+f4PLIFjab+vuU8zNU7X2Ns5hWiTxdNvSqDhsLLfYX/lG4/qyZSr7O+7ZbW/8PY/H1cGFAgJmS0aeqqF4f/uTHg8uv7GwZF8FJo1z0bjd2dekqkCel/taTnZ/Do6D4589/l2FDCnEa1Ty7e/xg+PAjY89w0s4/uXFG4+s347t49uxbdsAusw21EoTSHxZhNGXJRczeqfjlMMWw/MTVKJJvPsVF2Dt+m3wKyFOX3w8Vh62GJZkYCr0MDA8ITLB7HYbX7vsNSgUdWzeOY5VO9ZCDiLMnd4B09ZR6Z9CvzMGQ9EwWRmGn5exZvN63Lj2DgS6gz+tegxjk2O4/aGN2DrZjy07d6CKEGtWb8GjW/uxc802nHjIfJy+fDl2j/Sjq6UZs3Pt+OYvfy2gAU3Gs/I2qv2bESYGOltyeN1/Pgstkx6UqQTTiu1YeeRSyOUYRphANw1hk52mtOLYI4/A9PYm1AoR1LyK93/+uyKEnDeaTZoF1/Fx/FFH4L7tw2iPLXHD+cHvfx8LOuZg6cpF0KMY7q4qTlq5AlWqZiSgmpTRlmuFpii47vs3YflxL0TX8udgw+Q6DG25VRQlxGo3XnzJ23DjrQ+it6UDqzZOCGvwxtEKqjUPxy05Aut3DeJD3/0upipT2L2jhllNzSirhDgSLnjO6TAjoG9mM446dT5u/POvsH37OF5/2Sfx42/+GB5vaqMQS3pnwFSAWrluFe2e04bevg605W3MnT8fK+cuwcUvPR9DFRUTSRmLO3qhqhI6W5vqwCKO8IdbVqOt2ILSuItyGGNuSydkKmzcCMOTU1i3fhOuu+V+TCs248GdG3Dus47DSJuNIXcQJtVM8BHnbJx68qnYPrgHk76LwdEaSpVJfP07v8XqgfWi5KPZ1MQ5+tBtv0PJqyBEFW/8+Cfxw9//Fpe96k0YH3Rw9fe+hZ/efC+kyERna4d4/iHzj8V1f7gRd2x6ELsG92Dbnp3wowhNvd3o62rF0kXz8foXvR3zFk1DU3MTjEoOUdWH1izhvscfg1pL4O2YACrAN+78hgB81/74G6iMD+Hsw46EqWuoTJSRN/PYU6vCNIsi241j64aN6C604tTDFuNLH/gWcrkEF77kWdjk9ePhhwdhByZqEfDrn3wWkkoARnYnQTaYbRcINZVQ8sls75QR+Z7IxyPgoUJMSiLoBHgeeQ1LHxShRlLpTWWZBts2RclGDInLVQ2hRiMOUmRR/4CAii1h91MRMy+Pyh6EIpuNarCYYCyowZQCINGRRDHUmC2tiWhpZQ4cSwNcPxSWcT0OIJsWFDbchi4CtvDGHoKETZoKQirLxPFThTqJ88cct8DjEmn1jaGzmTRWYaihUPlFVINBF4q+WlgHQQqBJosnNFUAxkhWxXlnUNmWSPAcWoYlMR+s52DenCg4Cbh3LDWJIBNEBcw7i6AmIVSpDvR0Q0cQJQicCGbBEuonQm02syb87tNGHEChbFKmyk7hliOIPcQS8/8op2QZBq8z2ngJahzR9hrBQaLUxH4ZtCXLDvRIEkpFBv1Zki5agWM9gCTxPUUWtlcxb7qGJGEGHDlvXC+w8KlBJqRjdhuBKo+dhpjWX8Y10j7KplU5Qp7gjHZUhcUIZQHaCIVoUaUk1HVj6FrdUo3AhSE7iJnBGNaEdZoWVR4DNq0kPG4syDCYM8gykkBAPUJcXVcQET4xrTDJo2DLCEoO/DBCzmZOnCFgmxKx/VnGXQ9tRpz4AkizWEQWTbAhVOaeKhJUXUeFhSIqWWksMhyFGFBSxblgWxYkJS/yJEOzGaFVQMz8VCVCRNWexOIYH6YcImd4cKnUNBUYrXl4kYyEb4KMgyBUjyLohSJQqQlVaJHHzM3DrYZwGcdoUhEaIWDOIS8JNkOzgZllGLx+Yv6/UBHqQapXY0JtoUdNEMksa6nPt8Z5VROYiiOasvXQRcQwwkgWvy821/M2FVWDxHOQ3F7Ow4p8odKLzBy0vARLCWDptPJWBQzXcvXIhsidEh8qsZCFPTIRjeGeA9+JBZy1LEPMc8hMWX5IIMui6Z4lHCHVeXxTkHREVpMoQGFhCR3ueVuCQtWeyGiUkLd4LHN8F0e5FiLUCghKJZGPGEq2iG+IqvzQgupSKjslhJ6DvFGBYVCRe6D+ejk4Do6/f6SKtzRrbn+AjyNVNWWhTrZkI32c0Cu1KabrSEeav5eq8zioFMyq77JWy0abbQpaskqxfRVrNEKYbIZfqhRLl5GqE1NlGf9NaMM5SQFfoxW3MRcwa8tN4VGjbbcR8GWVXVkbaKrkE0Uc+8g3zC73SaA1qxrbB+DLvq6xOCS7HfxqzE3MjhS+EXDyeXxOClobwW+jJTvbBLw/VZ4oH2nYL66TN66pVZkWsdTWy2OU3ffUtt1o2c0eB57H6fpTEMdtepJ9OHtM3vmuJ4HjRstztsAmPbey0C/dn8Y8w4Pjf9d4pqjssuNfDXueTqX374B7z2Sl3T/7mH+sYd+fiefo/sYB+zP5xWc8DyccuhRzZjbjvs2bkeuwUCwY0FUd8VSEbTt24fc334sd43uQ8wL84JfX4jNvfw/0vIG7H3wIQVlG23QTZx1zBI5eMh+Xzp2Ls1aegTde8VV89Ac/QpOl44o3vhKHd3djT2lMqMm6ZzQJe9yMzk5YxZwIuX/W0SegMuagTWsSN3axI+HYww/D+GQZfhJifqEFvinh0NnTRIj/uF/GzaseRl4zsGrTWqwf3oa+5g6RTRVUPUxFEu7ZshOnH7cS60a34Ze/uQe3b1qFLdt3YOfwMKzxCuK8gZrv43UveD5yhgpLcxFXaujI59Fh2ujobUJTXx5GiwEjlFB2XVg5FYP9u1GplDAQMQcpwlK0YOGMHDY9vFVYUk846kRs2LkVTU15HLNoNlqbm1BxAsxs6cKr//OV+Pzl78evf/wVfPsLv0bX3FNx76YNsPIlXHjB8/D41tWoToU49ZS5eGT1NlhygBeecx4k2Udrk4RzjzwGpx9zPCxpELPmHoszj12AJtvEIYuOxRXXXI3EKOAbX/0DdD/BrsoOTG2/AwumdYqSi1a7gLV+PzYP7xIQgYghnAwxODSJ+1dtxsLZ07C5vBPzjjoLk9UxrH28H5NOiLMOPxSnrDxJ3BQTKiVRglCLMG9+L0aHx7Fxy26MD0xBRQ7FUBWW6h1DYxgfc7G0aQYWtDXhstdehLBUgdXVgsUz+jAxOIyJ8Ul0tzQh15HH0fMXwRtxcfW3f41nH3sKFs6ehd/+8mac/dyT8cfbboBiKjhjxXHinPVKIbpm5fGq938An/vWT3DmkUfji9/5EbZt24bhux6B1OdiTud0nLLwOMzqmYn2rjYMeZ5ooZ3V14vmuBnLj1qB573hJXhs5yb47m48uG2NyG7zPA/loIbh0gBWrjgDfsXHD7/wcaimjMPnLcXj23eiPdeKjlyzaKFm8Py73vIqaIGKj334jXjT29+BXN7CzQ+uxuvf8EpMVlmmEOGopctwwilH4vbSA3j0/vtQm0zQzZtuZs2xCCCkQomndgL2APhU+EmEqrJQ7/FmPpFU0QTqS7RkMu9OYiSfyJnjNZJoligf8CWDqW+I9ubwSbKBgCyCk8eST9p3JQg1JcmJyLUjgCBdpOpHWGlV+DGzxDxheSWEiANfXC9sA45UDRpz1hDRTVgvDYkkGJKMnMbcLuZ3eYhlTSji+JYlQ4Vu2fBqNWgyVXimyEpjo6svhXv3kZNQz8OTpQChW4Pke1Cofgt9RI4PyWNLL5tJQ9H/6icWTJm7ItWhJYGebSCRTAHyqEpmyUAgmowVBC7nPAIdzKrM68AX8JEqKtPOi/PbI67yqWxksQNtpsyQY7ttjMBNhOBSAdtwDei0TLtUm1H5RlAnI3IZEajUc9JgQVeJWak2y8EP6oU8tDYGsYRYob22ShaJKPGhsHgjqMEumNASQplI5PcliQODpRqJJo6Ry0IclnbQbhw6CGqJeF+lSkyoNw1T7IdKWEggWke70GRZ7D/ViFR3UvJGhSVJchASNmoI6A9njh1Rs6mJa0Pw0lgWmYghYSshEf3JbIVu6kLrzEMhKQYMvwRb8uDndAE1+QED7aGKrsIoKAglGVMOQRJBUwyD5y7BMtWjMstWqFCVoAQOqq6KUFaFHdSjss5gAYuCOGC5hSOy95JqSUBNWrcJhiOCzIBIORBt1r4HmBaZpgKvMilUfSzAiJwYrmpDlkNMjIZCTclm4KpRFNZgRSjvCE6pvmTTrULUJkpClJwuGnZFd67jQhF28QgVmSBchheyLdiEwkITlqxoRMxUmXIeY4S8riMFupaHpTMDVka5EjNlEQ6FnZGKwKVibgqhYokSnbbOHGpTDnxCxNoE3CCoq34jT1jkA70VOYqBaZX2Iug6T1IVhYKEnBqI7NU45PnlUQwK1ylDMxLxviNRJckMSeZ0+kG93ISZmczTCwnEAc3gh38K4lJFNPCKYucqlb4x7KYC1KgmrNx8ozGaeebowuJuMxrAMOEkzdA0F+zfODgOjn/3SAEV7ZhPBfjScdGlb9sn+EmXwxuKVLGXteFSPZeq6BpHaplN4V1WZZVdfvY7RwoKU/iXgqas0i59Xpr1lgKXtDAktZw2Aqk0a60xVy5rV95XLl5q1c1ajLPtwI1zloVxBHiNmYBP7Pde4JRtlm3MoVszesyTlpe2vHKk6rVslmF2ZEsm+EVolVXr7QvIcfto1+bzUtt2Y/7eE3l5eyFZuryszft/lGPs3a9U7cftydpu0/MszQZMgfKTijL2tt+mx+Sp5j09L7JQLjsn6c9ZG3PjfKT7lrXmNq6TI82wPDj+d45nYknG3zP+VhD0t9hvD7RN968BeM9EVdu/qgzk8oZ9/2efowdyvw4Y5Lv94Ztwx9p12LWnhA++6iUIK1SQaJjW24WFs2dixfLDEaga5rZ1o6wAG0dcfOXXP8CUM4ztzhhuvu8+bNo9hjtWrcGe4T24zinj9vvuxPK583H+c87BRDSGLUMRjPYZKOgG5jfPEjfUeVnHrL4+zO7uxcKuOfj9nXegt2U6pk3rxdJps9Fc0LBx91accNhyoBqhtb0FfsVFc08zWgsmdm4bQk+hHZNBDdXRALu3lHH8whX47BXfxbLDFqOjrYi+1g5ce+cNOPe4k2BEEnaFLpYum4eVc+aje+FyUTLQY+o4pNuAhjzy7dMw5tSwcWwcG0ZHUeONpRsgmojgxiGKzBiSdTy2ayMqZRduKYLepOL1r3oZrrn9UTyweY0I0B/a8BjKNQ+dxWbcu2YnjEDHZHlE3EQPVPpx9KEzRN7VwOPX4UUXXoC3vfB8rDjpJfjFb3+D5556LibLZYRj45gc8/DJT34Ma7bcjSt++AOMVWXsrGzB0vlH4sLzLsK2oW341U33oz3O4flvuQThVII/PHgbwgLwytediw+85TX41W/vxszZZ6M3V8SbXvwS9DVPh2aYyM/RsXRZJ4aGNgJKgBlzOzG6e0RY197xllfDnwhQcSuwLA1TpQhTE2NoacmJVlbijQmnjI3bdwoF0/HLF2L5oqNg+0CuUMTiOZ1oabYx6ozh4pechyNPOwMzFj8br3jZG4QakvbMBYceAllNsGr9JjRrM7C1fwD371qHz33hcrz7y5/H4MBuvOKNz8fsaX24/IPvx/BkBVddex0++8nLMD5Vxq6JQbzk4nNx5oWn4sZ7HsLnf/Q5vPED78dVN/wQV377KrhxgLd9+MPYFe0RgGRadx+27dmFwWAMsVTBxz7+NtzytV/hK5+9ClWoOGTZfPT3l4Qdbvmh8zFWncBjW+/GW1//Sbzi7R/E2EgFd6x+kOFjOGnFkVDa24UlT4oczF98HM474wzMW3wYvvaNr6N7Thfe9+K3YnR8BF/98nfgxjE+8MrL8bKXvAM7N44in8jo7unDPF2GZmnQ8hZCTWZkmVDRUXdH/kYSR0UZrXvUNBoETrQLxi4iTRGlGyyz8SI2WSuQ/JoopWE+m0KoE6uQXFfcvFP9RaURoSLhINuug8gXJRihYdctmQobfdmemiBmnh3VmYECs2ALsKeEfA4lQrTWEo6psHUDJq24FoP+gUBRhD2TKiC9YAroGEcuVMNETGVQ5AgFnsdcN51lBMz6imHqzBarF0yI9UKv5+rZhmi9FUojSRJwUbHyIN8gnNQMA4o/gYjZcNxHQqtEEdZDAtvEUJCjTdavifc7thObzC4UbbNUv2kwcjlR+kGtkus5CJglR8WaRF1aAIn7yhJfiQ3BbDnVxHui66rwCFIJEW0GsNHizGzCUMAQ0hM+lyUoEvPImJMYuxRZIYhoO45hGDICv16qIusmOalQHZKdEcw6blWUoBDyxMjDoxRv6AABAABJREFUqSX1fDlaJwl0DJ27C0XTRBGCnBACMnPSFW27kkclFaD5jmidpuqv5soCvnE5hqWITEQqINkmbLK0QbVh5utwMQLVhwR9slDiGTkC3FAolkUGHa3BjHIY6Ud15xpoGpWgQGkqhGoS5NGyXc+YVDULjpuI2APbDGBoBNWAK+y+irDc0h6s5RRR6ECbLJMiNeYWivw7CaoTQ3dCBDoLKIBiHtBMSbTdyrIkPqjh/46GmC+WVqgCUiYErZS/hhZiEj9IyDUnUBMfoQM0F33AqUKOKpCcKnzajxUbkp/ALQcCAEsai0ioxCPAgsh+VRULIYG8iIUkzOaPLvQ4EtDLNBVxnFjqESW2aK52QsJBHVZehVsbhxslIqs2ojW46sMsxAJS6kVF2LOpsiTAdifLgN4k1uUoBmyT78dsYJ6CrxQQhwECFpMo9VZugtvY0OH7CUKfSthINO+ylEPz+b4gRIzQQ75v1ME6QXQh5wK6DV2zEfqcRxmVqQCBn6BUqom5YfGJUAnrOWhaDMdL4MmW+FCB2YyBF0OjqlJYyWkn9mBaCXzfEHmaB8fB8e8ehBHZ9tu/5XVZaNaouGsEIQQyqYquUf2WArY0s61RXbe/kYJBqtJSRV92pLAtXVeq4CNoTLejER6l25/dn0a7Kv/NGyWuN7Xq7qvMItvkmlWVZRVi6dwTIqUAr/E5HFnLcFatly6f20tw1pg3l/2Z6rV0jrjdjTfy2XU27nPjXKUQN4WaWQCWfm+EZdntSY91dp4Je7P7mlV7ZktR0nMu3Yb9Fol87oonlIbp8hoLQjjS8yK7P43zka53fyPbuJvNSmwcTzQsv/Nd/+fURf8vj/+X1E8HYvwjIOif0bB7oADe/7Vr7vIDCDf/2rk7kOs8YJBv2x4qBWK0teXx42tvwtLuPszo7MburZOY2dWG7TvW44gV8zABB/NnzMDKw4+EHAADQyW0aiZeceF50P28yJrKFQo4fdEiNCUeZszpwr2PPIBmrRkbHtuIw2b24sRjLoATlzA2UcJkxcf6XZtgyJZotW3WDXjJJB5dvRGDlSrOOWkljpg7EwM7JjElBRitVNCuN6F/6wjmdffh0HkLEAQVzGnrw7VffjuOPGIRHl2zHmvuuhabtuxC4ibYOjEME3n8+i93wylVUa1NYu3WXbh541qs3rINZXcSek831o+7WDF/Dlbv3IRYjgR8PP/4I3DGicfAqQT44jteJ3IGy6oLN3Awa3Yv9IKM1o42fPE974fezhwkGSuOWoQmtRm7TRd9RqfISP/lVddgWfO5OOPwFQjjBKesPBwnvPB1uGfT49g6quHnv/gtHt05+MTxGNm9HXqXgXdf8WPM6evAG97xFuSbO3HxOefgnNNPx9sufgH6Ct2Q4j7sHt0gmjVn9bTjeScch3NPPg5wE/QP9+N5r3oXNq3ejO5eG1/58Yfwhe/8HEtOOQnSeIDlyxfg+NbD0GvNwglHnoIZxV6sWb0OtiXj4Uc3YKg8glNOOAKz5szEruoINMtEvmhjdFdVKJgkOcHYWAkteRMlx0VlpIKtu9bhkYEtOP/EJfBqVPtEyMk5/Pf3foIPfuIzeM97Xoef/PgnGBgaxthEBV2ECNz23tnYvWM9pqYmceJhR+HGu++Eixh3rN+IH37829jevxunXXCRaFalVbO9tRU9S5ZjcqwMRTGwcMZMDPsVXPbaD+Cqr34Op5xwAlqMAoZ2jOH2v/wRuUhBc1crtmxaiyNnL0Jp2yRW79iOVms67t28CS96zX8gqlUwumkcHbaGrrYCNjy6A5/85Hdx50134I4/fBtf+8rHoOpJXcGW+FjU1QfdLWF4YADf/P7v8cc7vokf3nQNXvLiV6OtvYA/33QvPn3VF9Bp23j76y4V8GHLwCZ89hPvxpyeHhSKRfz+z7/Dn+66H589YyF0gzfzbE6t2/V4oxwnscioYy4fEUfIYHspgqqxnIOZaKz6dEUumSQlwqKZsKVWkuD7nEFm48Wi7ZYlBgxCY9tmHERQqdCiLZdFHzpVgQzrkxEEJEs1BK4sgAuBHcsf3JB2XirsTBGczzbdgOUGGo9hItS5tOcx44/Za1FCiGZBZtOrV4asU3nFPDeqsCzIiSdgJMkZXcaxKNPxGY0HJPV60iR2hJKKmWphuFcHqBp1y2PooKBQfycLkBcbeYQ1F04UC1thqNKWqIptDkOqr2SozAHk+qGBAkImmrJQhNAl8CJ4fiyKZwps9E1iqEo95zCIOGcswAhEE2nk1+eGQEjVQ5gxLdOusFlTQaZSlRXx+FGdFSHyXVRpD2XGIpWIviIy1cDyAZIiAiLmwhkWlDASOYNqHCHwJWi0IqsxfJ3kL0TOjOtgzNAQqxJEAWzoImQRCFtVY1/kweV0FfmCJYoiVCMHzVIQaAr8SIZha6RqCNVcvU296iEijPMjoQT1fUq8agicAIalie1xud3MyourCESZCu2ozLgzhY1bZvOwqiJWALdcFUUljiTDmZoAtBxUjTZzzrkjoJWmqQjdKfFhj+vI9Tw/FocwE4+KtEhFxZVRyGkw84bYdyViYQMbhoFQYX5cAjlMUGUbsEPbK8GbgjCIRLuymjehsfxBlhDUXECtocLCpZwExQ3quZTMjWOCn6WjVE6ECjGQCjCKFgyLVm4HUi6PxMiJ9eqeBo05khGVmpFoQVeokCuwtEKDlFgC4CuEi4aNYG+OIq81WLQ6O9CKFuyChzAKUCmXIcW2UATabDGHj+Z2KlYN8RpNJswm/A8Qej6cUIFUrQqLtqrb8GtV+LTlW02QYk8cK6/iCBt/yGiFSIJfYvO0JpR6kWQg9GQYeUJqGbZQI6riGqHKmWpXVSsgDJi1GUFi64ZQu9IGzVLuutqVDctyqIhMw7wZwS/Tms7W6IhF0tQ2QleoClURBR78IELVY1mML3IdNWZmHhwHx7957AvmPN0gmKLqj+Uc2XKGdOwzsy8DTFJA02jtzFoeGxtys8tthFe8+ciCmWzrbrZwIn08LcnILjN9fqrSy9qBGxVhBFSEZPzaF4RM10sIui/4lVWIpZmI2cHlUzGZ3fd0G/Y1n+l+cNmcw6xV9UnbtXe96b41QtHsdnFZ3I7sMWq0+Dbuc9Z+3Khke5Iq7safPalRN7sPWZCXlo407gu3KwXB/6O4Yx/tt+nyGve58RxstOLuK+evsfk4+/iTlptR/u0PBqYW5IPjmT/+tyj0/pkjBXpU6mV//nfn8WWvsWeSoo/bkt02/swM2Oy//9mw+m9Zx18zdwd6mw9Y8caLL30h6PFplZuwY3gXDuvswTbfRaVWwqnTF2DCLaPfL6PJyGNmx3S87V2XY9Wdv8AVP/sV+opd2D46gNpEFcsOmYl1O3cjLxvItXWjr62IdRs3Y0V3LzbVJtA/PoZFbdNw2NJD0FSw8Jsbb4dq+bjw1LMxNJZgw7ZNmNGXw6Dvw/Y89LR2YuvgIB7buAkLp81EpZpgzrL5GB3fjQ+/4k34wpVfF4Bg9rTp+MMDN2F4qgLJl5DrymFu1wyxvEJsw2N+UaShmkRozqvoyHdAizVsLO1Ac6RjiDfojoclXfOxaWo7LFdFIW9DypsY3jOMycDF/N4ubC2NIfQiJOUIF51yIl71jo/i0tddhJeddzYq5QI62n384q6boY5G2DAyhOmtzZjWXcSeCWB0YjdWLJqFxzbvRMeCXixsmo5dQwP40Ie+gj/85PM496K6jeNX3/tvSHGC3z92J37w5d+Lx4b/sg7DyqP49d13IvZMtOc0HLpkJU4++xBc8MrX4llHHIPO5macdfa5+M8PXYaeQgt2lsdE9lWp5kO2FCzU+/CFb16F97zzUnzmc9/FH//0TQxvLmHCn8Btax7BLLUXX/r8h/CBT3waUTHEwLoxDExO4rijl2D1Yxtw7JKj8YLnnYQ3f/y/hXoqmQjx1te9AM9+7hvwhstehsHhMoxYRXtPHgPDkwh8D4s7ZsBVfNSqCUq1CaxccRY2D6zC4jnzsOfx1ahZBdhmgk1bx9BSLKKvrxMD/XsAxccQLXWyIjLi+lr6MF4LUME4nKkqli2ejy1TQDiwCWefdio2T47g4VseRld3KzClYvkJs7BzaATSZIzAjLFi6UI8+sgaDA96mN7WiUcmN6Av34qJpIblcw/He17wEuQWLMXb3vsmdMUa3vfZL4h5v/+263H3bTfhuDOPxep1m/HqS9+H0849CVZBxfTWboQu8+sCFPIaoKtYtrQXI9sUjCsl9G/ZLgDauDsFK5ZR8lwcNm8Jrrjim2LZl779BTjxxHMwV7HxpT9ejdbpSzE+HtQLNXwPqq6KHEiZChxmwzEHjiCPll5aQakUow0yodoteQII8i0hDpnxFYjiBerQmJLGfDJqdChyM0QbAXPmCIgYzB/XM+sCQjsZSeBCU6i2UaFJEXSCNjYDsAFXshCFHiQlFtAspGLPtBDXKhDJ/IEPRQBIWjTZCF1XjjHTzdYBj5IyWRfQQpRReAmMAkt7aD1l26giCiyY+yXZhsjX5OZRQSdJIWRJF7AskXwoUkGAJpE2SHBAdZCUIIxkmFR5iay4GJJPZSChGwtstXrRCRzIbJQWykdmp1GEJ8Ot0QLKTeS8Ejgm0CQNoZLQDSryNRkVEFNJRxkZbbaU3qmyyChkxqCw98ayaBSWWAJCuGewf5Tt3S4MW4cfqVAJNmkPZotx5EOJJUhW3cbJrEPb0ijRFPA2dhOopoQgZEFJDYpMhRot1nXbMdthE8JPmeeAhwCyUP+JuWFfDs8LXROqNSrplNCD2toigK/rS3WbeOAh0nIwtAA+gWUQiGIQo1iAV/MQUpXoMH/QQyI1Q4YrMgbZDs39NZUQnmxClWVIzCaEAssKRdOtLlNJxybiUBwfOfIQxoawwfK7sL8GFQHZqPyKp6oiP08lGEsIj3y4LKxg+ywPM0E3qVvCMpkEksU8Olq6JXiSIc7/nF5ElFQBw0RSnkDCZWt5oahjBh0LICid9RxuGwFXIlSeVMbqORlexQMvGLmpqZ5ZWCPgjEX7tBYFqCUSiqqOwK0IC7iimsKWbDWbcCaqMNhiK7u8+gA1h9CvCpu1RTjKhmxa690pTEQ5WN4UIkOHJttosiWMToTIt0uIq3XrPLMPvbjeOC14bxxBViyomESQWNBkBSHLW3jNaizICOFHOkxLRuBGsKwEtYBdwBVh42UBTZLUrfpJUBOWbV4fBj9UMBRR6CPzvaaYQyXQYUQ18f+SJ+nI2wkSzxf5oTCaoARTCCRbKIMjHnVZhy47cD2qY6la9etFIVIecuDBpbpYk/DD737jQPz5cnAcHH/36N91pwB2hE1/jaJvf8/LlnKkJQSpPTdVaO2vmOGpihP2Vc7Q+Px9lV2kar392SazADB9PFsK0bjMdD8abcTp9qR22WyhyL5GY6kDX5u+Lt2v/RU/NO5/dj187KSzVzxpPzieruiDIDJVNaYja9N9onn2ne96QmHHLL70Zq6xjCL72uzysgUXWYVm41zt63hlS2HSfzMvMV0m1XHcz/Q83tf8NZa87E8lyv1kGydvthvPyWzD9F9TnpIF6NnjlB7v9HlPBU8Pjv+9g8DlmQoP/95ty0K8f2fBBq/fp2vVPTj+fSUd//LiDVvScfiMGSg7o7CbDEzmVOTCAF1WEbsnS3hwsB+OF2DKL+MvWx7BpW+7CB/41pXwSh4+88mvYIbVjYULZmJ4qAI9VJCzTMwu5nHfo4+i4lVx686t6GvqQBiGuG/DRnzr2t/igU27sLs0gj3jtECuxuj4Dsyd1oWbH34EG9Zswo7RCVx5yw24c81jyDXZKHkePvflr2K+3gHTM/ClL30W40mANRt34aYH7kEieThr+TJ09/RCj1Xs2jYAI9HBwtG2lj6MlKtobs6hR+vDtqEhBMwTMlSU4GJR91zMauuFoZuoxg5QMESTZGx0iCD3nGZgslRBQTXwxf98DcxmAxt2DeM1b7oILYU2/OymezFc3ox7Hl4jLIhhQUOuxcCmoSH0zFyGl53zMliFIjbsGYWlteHkhStw5PzZaGqxcN0vvlEHfPEgPvDB1+EFL7oEz3/1uzHX6sKnP/AG/PwH/43tpXswWS3hw+/+Ki4+6zjM6WzFukfuwPvf+FGctnAp5s3uwvX33YG3feg9aFcMlKamkIsVdBdaMC1XxKWnXIj5yxfiq1/+GM587gl4/eufh+v/cAvuWncPNm7aChM63vDqF+Llr3k3JofLKDoFuHqAQxa3YHx4ArlcHtvGd+HbV/0USzrmwPdDRDbw+St/jXNecBaqrotlbe2oJg5KchlOzcFxhy7HhOPDKzuoTFUxOVpBBYPYMrELm9asxaiUYFl7LzZvG4ebOIi9AJe/7/0wEWPCrcA2VCyZs0CAml3ju7FoegdGhqagqibCxEa3GTIjH7+69mbce+MDOGT+bFEucfUvf45WaxoGt45hUJrAlo27sap/NxLbgBNVMZ5M4Og5S1Gh0q0soTY+jnd/4VP42ZWfxNjYABbOm4vvf+XjOPOi0/Hdr3wPd6/dhht++kfcct+9+OPXflTPj7NUGMUWjJSH8f63vhLdWjd2lyYwMBzgso/+F+5/5BHMnD4XU9UKbE/Bb35+k8jvSgEfx6GzFuP8ledjy/guHN21XJxn9C0SvIksu4AB/oR4iQBmxBAEfRFbRwm7YiDWVQFNmJUn6cwgkxCxJMNkEpkKlTltfLGqIiKMCaiEZM6WDy+miI4IiKUb7ItQIevMQyOc0oW4jEoeOa6XQ0R7lVNUilGVSOwSSz7A7L4gECUaCRV1iSaaM5n1ZuUIJWKIcl1dQpXXBtVybNHVZZgq7aUSgipBGVVturBWKjkNWtGGRMUhlY1sTk0CMC2NwjdF9oXNlDArkTXoOltWqf5TRBOwnBBwiDoPUVTCfaayTLOpZFQQelVh+aU1mHl4iaIjjEMxV1S96QWLXcN1RaWsIWQjL1t41b1tpWwHjphxx5LbQFiQ2WpMGaJMSEm1nEZ1ni4sqIQ0YBlCxYMmE/BRCUV1Hp8fIpRL7A8WBQ9UPoU1GTlZg1yLxfo1Kugsqq3qpSYi74+aNQFbZZGvJ6zYUkWUmCSwRX6cKJ/g3FDwSZQZKwKw6WoE2baEik1hwzFnJfAREYjqBJ3MXqRikK+3QBEcr8Oo7EOzFWh2u4BXMcGpJAn1oUJlI+cr4jpIZB3oUg1uqVSHY14JchwJiy+3nu3EusEykwQKoaHriuZsKlFp5NSLFjTNEnCSasOyx+ILA6oaiLKYqBLBdR2hPqP3OaxGsPLt8AmQWPkdUX3qiDbeuDQlGpuFN5V5koEroFcUGLAESHSg6h4iFgJVmTUXolZimQkhpArFmUBcrcKJbTaaAF4NKs9vv15E4ye8dnR4tUAAtmB8BJYciuw9llMgYKOwi0C2hXWaFm/ag2n7pZW2iXpI24bGBuQmBZNVD4Ylw6uqSGiBj1UEkgYjjmF6VVGqwWZdTXaFsjmhhZ1hjqI92ye3RjVQEfGc8yXx/25VKBDj+v5YLGIxoYtrmarQHPItqrA8y6I8OoFczME1c3BqIXSvJN6H5JwOFrNHDj8qoIWdwaFTcHwTCZs0Alr0qUytICC9lhwksYaJmoGE/6bV31Rg2wqkWvlA/flycBwcf/cgrEgBHYHfBz59j/i+v5EFfFkVWrYQIgVdjXl7vJFIbyay6qxsQUcKebJ2UI6szfLk4Cfie/bGhOtILaDpetPBdafqvHT5aaZeVjFI2JIug7/PQhouj8qyxnw3sc2ZPDgOPueJTLq9ysJ0vY2Aj69b0n7fk5bZ+Jzsz1nA+SQ4tjeHLp2L1EK7PxiVbo84Pu98lzh+6bFtzBVM9zFdHwFb1ibL4pTsMdof4GyEBk9lf83CWN6EZo9FqkZJswDTkpP0fOR6UjVjoz03BX2NCtYn1J+fu0IARQICnl9pdmN6HLivWcVh+vvGfdpfCy+X/6Tj+zSw8OD43zueqYDvH9k2Ar0U6mV//kfH0ynEsgo4jv0BvmeacvaZsD2XHwC78z9rPw4Y5CtqBv7ywGpMxR5sWcbQxDDCZglSLsbm0iBefdzJcCc9jE2y0MLHkdPm4Z3nPRcdPW147dsvgqkpQnlUDhw0NbcIRd2tjz6MWZ0t0AMJM5s6kDM19Ha1YObidpy+ZClWb12FeR2dMPM5rNm5HduGRjCg1lBizl1Ug1+rwWZuXKhhWecSzOzuxjc+/0kMKzW850P/hS0VB//1xktFXlmb3YpqRcXWraMYmZhA1fExOjkJr+qjWGjB0pndQu3iTNawQ5IxXc+B3qvKuIe26UfgkbVrsGdiBEceuxRKTUe7ncMLzjkOlcEt4kZMiyWceswxgBNi6ekvxMvOOBszp7UgDBIEkQtHGsfLznoWjjn8KPRvGUA45qGtpRWt7TlsGNiK71//XeiSBsWPMFjbgxvuuhOhbOGtb/4sctN6ce4LTwPkbuQ1D8jnsfP2axBpwDHHHob5bTNx9Hn/ibZiOz7zkTfj+hvWolxVsWdoHJ3tOXS2dOEL11yHJGAAPvC+N10sbrgUSUKtVhEKnd/c/Bvc/+BduOuRe/DTH/4WLvO5mg0YkoaKX4PvV/GBr38B6vQYhx5xCBYuWoSZrbOgq80YH5tCp92EJiiYVpyOFzz7ZJEtFlM9JkXwAl/YSOd2L0CzZOCIOYdA5Q1q2YNqy6gqARzZwbSeZmxYtxWtaMbO0RFMuh5ueOwRXHrpq3DiokNgGBEuuujlKOZtoYxqKjZhbf8moRJi2+b03ml4zlHHAUVgx65t2D00BNmS0dLWiqY2G9t3DqLmB3jF616A399xPWzNQHNkYMm8adBHfBT9FnS19mLcKWNoahwtZgs6ZuTQPzyCLRND+PEtt2F0ysOmwV3Ysm0Qh8+Yjb5DWzBtXhfGmw10trXiroE70dRto1suYMPWdejpbMOs5c/CdmcUP/32NZje0YvH77pRKMDu2ng/2jvb8Ovf3IhvfOIDuOSUc8W19tr/vFB8f+lbPwZDGsErL3kPXvPyC0RjMS23VM2FhEKiHINAS95bLEHoJLHsFTI94GoiIJNtKghUScATQhmCO95siyws5rUxVy7izXcMqZAXaktJMWEw54/WvagO9kQnqlgHIWAMLamXZzBLMPb2ZtlZtoBihHy8z098Ii8fQVAWQEPkwSkJErbOmjY8NnpKKoy9yiK2dNICq0YBAo+wUoKeqFBNtqHW7bD0NhosKwh9JCyL8IN6+YGmw9ctkT1HsCh8oZyP2EXi+iQmkGIWACii8ZRki8CP80V+SkVXHNVttpZdAHwCUFVwH2YUUuXlOZ5o3Y0VXcCKKNlraY5YvhEhjpnfx21RETH4jwI+jdlnBhTJRVhjGQWViHthbFxFwmKQmF88VhSOBWxUEXZsW9FFG20YGJAUFxLz00h/jHoTcEDfI/PbEsBjQYIiw7J1KLoBRTPrUMfQIBVNJBYgBQRhHlTNEZCO7wHMB6TCTVWAiMfRT+AHMlyqUNnqLKtQ2ZpKsMoGlyoxKGEkW5k1au+E6o4ZiopNhSELGlzRNK5wcjUZkjjejFrgOegi8ksiE5DFIUohL0Cs63jwaq5QMGoSVXR8PyzBNmgDtWFY9cIY+peZpci0RzmoIfJ43GgOZrdHhWGFIneRcIpQjpmJtLHSZV4tV6ApbIChmpTAkBZwFbGqig8HGDMQCJCpwy8RkoUIYgORZwB2K1soEKsFuKEKO0/jaQS1SDWkhoAK1agkQhJ1K49YbxZNw5qeQLOoaI2EDZqwM5Es1CTA0zTkZFqpPVQHWafhw6DyzWRhBYM0K4irtJSTSYZQHQfBaAUhjyMLUXhyVmn35jFVEeo8MgYkNUas2IiFYpYWYCptPaDqixMysW3kCHJzBaHOY4amLvtI/ASOzwZqql7Z5s4mawl0ZxP1Kirbqk3WsiCnKDCjAAaXIUvCNs1sT6lWEnbukJmCRjNsTYFm1d+jdU1C5LM5WReZnp7DdXpoygXQ+MFIa7c4333PEy3bB8fB8UwYBBNpIUZqmSXoeyrYx9Go6GN5R1oekYKXFGIQFhGe8GYga2PdV/ZdNostfX0WjKTKs8YbC2479yNtuM2qtVIba/pvwiGCvCysIrxK19NoHRbLy4C0/6E4e+e7nshb43LT7c9aZP9HW/BeNd7+VIz/Q7HYABMb21r3ZSPdV8Nsdl65X1QAEu6mkCz7uydlJ+5j+dnjkZaVPLG9e0FbCgx5/PnvdN6zWX6N29c4v9nzJXtssq9NYWpaWMLXpMczq85MrcjpaxtVd3xteq6yKCMt6uC+cV+z6sM0azI7P43ZfqkS8uD4f2f8X8vge6aPpwNRf61qL7ucRjD4rz4f/lYF3cf+TpB2IAFco8U4+/g/Y/4OGOQzmyzECtv3dKideRQMDVNDLiJXF5/kPzreD9mUcM4xh2LmzD7sGB0SNzAXnnE+ylUfNdPD45v7kTNtdOWLWDh/nmhhLEcKFsydhd3OKFrb2jBR9WF5Nh6a2oEVcxejs6mAWAmxqKcThy2ciW7VgKErOGLhPERqDpgMceqxx+Cw02bj4vOeg01bt+BlL7sUz3rZWfjCR96G13/sU9hTGYRhWmiONOgtNlYunocj5ywQLZ1OHGPdwE7c9MDdiGmZdH20YQzbK2XIZoyjlx6C81fMwzsvuQSnHH40br/rbrQ0mdgzOoI1D68HrAT5YjMWz52Ph9duwcnHL8f5L302rrrmWjy+cRN6881YcdwyrFxxAn563R+xrTSMYpeFSS2GXw5FoH1YrqCgt2LIGcVQ4MDxQgyNjmDdlq24+rsfwKrHf48zT1iEd1/2Mhy7ciW++okP42M//R68yMP1t96HPVFVHKNazcMRh87DYcf04Ib7bsfhyxcjTmx0dKq49vs34PjDj4FZaMId923Bq192CS597ksRyRI+c/ll+NEPfoKXPPsM9HS1YtaMXqFG88YlVHxapyJYhTzcOMGHnvdK3PzQ3Vi2bCZyOjC+c1QUQuR6LBT7LKwZHkBnq4LLXvoySB7VXLLInysWDUgdGjwLuOHmB9BuN2P97p0wdDZyJlg0Yzq6e+ZgZHQEliRjZnMXnLKDNjuHe+65HevHJnD0oUdg7tz5cFnloGnwaxJ+9q0/iJbRo+cvx7333Ysb77sX4/1TKJlVTE7U4HgehkZHUZ50MXden4CbVc9DreJiuFbGrEXLMH1uF/xaGU1FYM9kP/qaejE0PAKzR8KePZPCntncbmPFnGXApIfZM2ZiYnIIMxYciv6dZYyPjYkmWL0cYG5vD6aGaxjWHRy56FB4notvfOrTwrL50uefh8VHHIqHHnoIn3jLW2DlTYxUJvDl974ef1m9Gnlbx7ADfOX7nxPH85bvfR6vf99n8chtP8H7vvw1ocZKqAxjmUJYh0CUrdECF5JsycxBA3xaE9meyid7tD0Ckh8hpHJLoLpQZPsR1bBkQ9Vp0Yth0fIbeCIgP9GoDmITqY+I2XpUhdECCeZleeL1tPpSJSSrCgzTBFGEIdMuy8bPAFriCxirajpkxYCpRQgTwjJZMDha+1TCnMhDzHIS/o4NnSptioSPhDQEWGytzQkwR3NxIrEl2EeVxRcs4zDq88JMMBbakHtQQcZCDpZEBEqMhE3BbIdVFAGPuGxm1MWRLhqKNVGgka8346rMsqNij8uJEEXMmmNbrg/NsARsjWo1GBaVX3VQRgusDIJRHTHVj5GMHHWFcQSfIDNXbz2WbU1cE2aOGWqSaE0Na5Rh0ifM2U2Q6IpQ50UhM/ciATBVgj6qJKm28/S6DTWk4VYRLalqRKCZR6jFUGizpkLTr4pCFMmtIZqoCQCjsNQjryFkmy+BKIFjtQrZ0ESpRmRStQgxR5adAE6MUJIQOC6kIBYAiO+LKm2XLGMhbPMkJFR2CkDqQ435PFqXI0Qu7cm0QtOSTSjKAhQWdDRDl6hcM4Wtlao95ihSTRmzotUnNKSc0USQKFDCqvjPLAqZq6dCVzgXzIIzIedbEScmkpyB2DABqyCOd2zmoSe0FEdCeWokFchqiEhuhmRS1RlBYymIwzw4Hz7zC2VTKOxYOiMswVGEyuQUPKqDq54omrC1MnRVRVALoOtU+7FOuAJTUqHqGhKej1ENgV+FxPw7R4Zua1BzBXiE3YSJSQhFaUHBijFZisR6Yz0GHJ7fFZHv6MR5AdlliyU4tDCriPIm/JgKR+ZvyijotAd7yCtVYdul8d7KJwIi0hIelJid6SKpleFIbETOIfIkcZ1GVgGmXxbnsKl6Ih+V5y4BNht/w8AT8JSaPIW03imLzMHErwl4WylVoVg6otqEuM49rp/Q35eFJVpY9N0JnkJCjcoPEtjGnNCyzyYPPxIqScWSWVct3jNid0QIXgmwi+1NB+rPl4Pj4PiHBoFEVvmWjqw66m8dVFARbjwJQu1V0mXtoVklU2qDTKHavgoQsnl72QbX9Ht22SnoS3/OKrBSAMSsu3Q9WQVe+pzGIol9rVNsz14ItC8Ild3uxtGoxtvf89J5SJVp6bym+5uq7dLnZYFW9nt6M5YCsRTKUU3YqEjLArv0ddnt5e/TRuN07rJqyezzG5t108f3pf5rLGVJtyddRqMKL/vafWX4pa9Pv3OdaXtwozIzuw2NxzI9nxrVeU/M6V61Y2NByVPZ0Q+OZ+Z4Jqvs/lXjH4FDf0vb7r9r/C123n2dD/8o+PtrAd+le2Hk0z1/f8frQFlxufy/19r7915PBwzybXUHRfj8ob3zMDU8hVBlkL4PU1extG06du4Zx9Jp0/Dgqh1oyRVQ8304Tgnf+O0P8YozngUvdLB0QS8UXUbSIkEqe+jpaEcRBmo1H7O6+9DelEeOYe1hgNiP8PDaDbhv+xbYNRvHHbICmp5Hf/8eoZy7a81aBLkyli2chRmzu7F57VZc9rUrMByM4oPvfR0+9qZLcO7b34GpkQm4cowH+1cBzTr8sotb73scrV1tIncJZj27yW5txckLF6C7vQWjnoOCrmFgoIyhkXF8+Qc/glMdxQOPPYyNw/2YbRVx7PEr8Jedm/DsU58NVXWwtbYd3riLUxYdiZeceDLytoHEtjASVHHzDXfj3vvuww9vvgGP3/cotCCH+XN6cNyxizE65WL1hi1A7IhcsZxi4tBD56DH7BHqi2ld8zC36TAsnnYYzjjleGgRw9ebcMm5z8EFK0/Fsu4ZGBzajK9e8X7cet/DmDuzD3+6/S6cufJQ3PDQPZiYnMLi+YuwddWfMHPuNORiGfeuuwfHnXwYjn/Os/GRt74FP/7xb3Hxay/GqoFJLJm1ADu278GcrnaM1YahCvUWFTMBvKkQI0mAZX1L8YNfX4NVu7bgKx97CyxDwdq1W7D6wX4cN28udpcknHP+8WJe6bAcG63g2SdchF/86UacfdaJOPaYRYCZwJBU9NptYILayOQ4SpN7sGjxTJSDKXhyjPkdXQgJdqQAn/3ou7B9+w7MPeEITJQqOGbxMmHzfc97X4PnzF6Ogf4tkP8/9t4DTpKy3t5/Kld1mLw55wy7S46CIFHMiFkERQXDNSuKXEExZxEVRVEBBRMSJOec0wY25zA7O6lT5fp/vu/Q/Nu+syt6uYr+9vVyd6dDhbeqerZOn3MeJ88R0xYo0as4mCMTWqNnkSUiWsFjK1cxuWUUQVVidinFVo8dq9dy4z2PMHLCBKqRr+LYbZ0FbNcjCFwMQ+e973yb6vR6fOdyRh46hsvvuZaZ08ezbPk9vP3gt6reOC+XZ/mW7azasJGsChO8MUwf00WXmWPFmqW8bME0iqM7eOy6m3jnhz7D9392GV2Jx2v3O4xJ++3HBz77aQUK+PonT8FmAt1PPc3Jp3+USy+5lEVHvIU3nHwiJ8/YW0VwRckT4UUIpaoSLhZRL1WF/Lp0ZonQoIlgIeTbmFok0AMRAEUYEXFDHGyhgm8o69JzYlEs8dIY5faUyKA4u+QAGqkACCxMgS5I3NUsDEVndY2qzHEWKSecH+vEQYqup0rYc6SzTuKlNR80m1ogqeCUUAiicj49B9VIxeWW2uj5nKLZingYIrFLAQGYeDkP29TRwgq6uIFEkqyFODkhkuYJMg1HE3CAwEaGHHrSI4e4x/Q8lvS5GRZ6KBsgFXqR6hvLiRhj6UMdY5n0+vnKuSWCXuhLjFCitxquZ6MZBpojDtIU25aYofSaiVtMZBWZKE91jVXjQImRGuW6kVBdB5RLRJpJnGnEUayoqILZEKqs9BMmgQiOYic0Qbrw5H3igRRhN8qGhEhHF3Mm5BIMV0r0DGK/RJTpVI0Yx5T+Qo1SbQheIq43Mb5FEuuW/dJbiWyXYFDhmUkqviJYh7pNJlCUVGjNBXRHXINyZtloYgYMagqekohbTm2AxKMNIomAijtSwBG1Ep7srCzLEvFV4rni4GMIguJ44Hp4eo1QNp3aEARDCYURTi7EahG3owhEmTq/bTM3FO1ONOUSJBhUYA0BwISaoeARqhdQbGZJhC2uvlCcn1WiKFCOslg69TQX25ZzQmi5Mp+JoiAb4tITF2K7iSkdfaGm9iUKDJKwpj4zDMNSkAkjrKErUnRIQOvQnwKnMJ+Dx+RaiZJAOVJFABQBW8fBcQ1s6coT2rGAScROmUWYOQFplIYiuY6D7Wbk5ILL55SYq2fi4BxQkIowNAl9uSgFRDLUpSlxZHGIRmEezS5QdbtUTD5yO4iUy6+Go4VYImZKKD3L8AoGWj6PgK/li4tAREtLPlASwlQfogB7merxtD25js0hQdKvYojN1CpiGgKtcUjKZUW2rghUJG+QL8hVGQ/1dmbi6Bzq8TOcPNWyXIttWJ7E1zNyVlUJpOpLClH0TINg0CeWLwdiC8tsJedaDJYkEL9n7Bn/2lF3MTWKbY2CTD3GuytXX90BJn/KkNeJo6/uoGoU3eodfXWxrDmqWBdRmoUUcZoN151XX2b9v0ZxR4SWuthSF+ual9vooqtvW2NfW2PMVoSaRjdZ/XERjBrXWxeo6vvZOBrjs3XhstnhJZHgRnrucFHPRqH0+eW8APiJDLlJq899o2jW7FKsgz7q81q/gWwm8Naj2XXnXGM8tlFkFefccBHW5u68RiG2cZ+ahbVmIa3uHG18bjj3ojwnwl1zt2JdoG2cM3l93XXYPK/Nc9q4LY3XUzNoZThH30shsrdn7Bkvpjj0YkZ1X6zxYl9n/1sh+IWKhD/9B1yK/xejsW7jnzXXL5rI987FJ2I6Jr4W4KY6SR9MHz2S3oEy7qgcm7fuIN/WydxpEwn9Mq0dRf5w/31KkfDTPrZt6Wfv8eOZ1jWBJc+up6w6oxJGjXbYMdjNjCmTqdWqzJsykm1xP7pj09XVQmsuT6BXuevRx7nm9lt5Ys0q7JyJ4ZtYgwmnHPdybnv4Xt59xue5+AdX8Z2Pns8Xv/Ij9j3wzfzlVzdxxS//zOh8G3qmM6o4mr7qTsaOy3P1Tbdy+OJZdBl5jn/jW3GqKUu3blIkzS07+ggSjVolUDTEg2bP5pc33sT4YitT2sfhdrSy7JEVvPaIo7ji978nZ+Q4bsYBTFw4ivN+eQmXXP8XHNdiVr6L/fZejON4iqo7bmQr0xfMYMbkqezsCXni/kfQBmJOeMXBrNq6CddxmbtwDk8/sZa0NWB53xLWrt+sKp5WrF7JMSe+n0OPeyeVqs6Wrb1c/Oc/URw1ntPP+BKeZvPxs7/OZ796Kced+EZuf3Apg5HPytIWlqzpo2fLTg6bPYpSWuI7X/+tuvF77MEnmDRnAnsvPgg3sUh6Bnjk6WeYMXUic2aM54pvn8tAmvDrb32J737kHG7+0+10b+xj8vg27JLDvpMX8N/f+w2fOf2dHLj3QgItpOz3snzdcrBnqPtHEXzEVXbdzVfw8iMWcc81DxP2ZRTac8oR9cjaJXTkRzAy34metDDW6eDoSfPIFdqYOHE8NbnZ9kt86L8+RaXUz6knvJX999+HZ3dsY+7sOeTaHB73t7OpHDCxYyy5tjbedMSxlOMquQ6LuBKqiKk4T7TY4Jmta6mVAs5645s4YeGh2F6OqZMn88iTT7J8Z432XIHOrokqRux1jCYLMq6+4UZGtLtUd/jEW2tE5YgjjzqWC792JVuTFRwwaw4rVq1h7tTRhJnBZb/6DlO7urjj8af56Efez4w5E1i9tkSHkaNrSgePPP0X5sybxS8v/TNTZk7mFfOOYNl9N6BVQzzpFXzyNrqmd/zV9bdjzQq2JsuUw00iyE6WksqJYZlKuDKk6EsXmqnUzonAY2CIa09EUolNS+BP4nrSdyZCl8AJlB7mCjsWTVxuMlEi0KSZEkZFNhTdRgC9sgz1g/R1BRI3TIbcggpYIb1yotcJxtXBjCPl7EpjcfEJ7VYECV1d05GvKRJsJtRd6Qp0c6rQnzREMuJZKGJXgmtlSryR45aG4jIKwHWVKORLHNhyiP0IWyKoEh5NLGLxuYlgqYsL0CARMVGinYaISWC1tikRUyAPIoxGSYLuB0oUkU4/mU8BYIjDSyARAnMQ65I40LQ4xQx60R1xB8qMpVTLqeowE6EvlvlNU2xx1UmXYSSTrOMH0h0pn8QeRibPiwsrVWTUONaolQZVBFvBJHRPRRk1K4dhD3UQeq7krXVcVwLZhgJ1iOMuromDUmK5Q8JUTkQ3EVxF7BW3dVxBM0VIHIp1p3kPwjJpJrFicXq52AVd9c+JsKPbBQEnk1V90riCoYVDcBOJhLotmCKCGmBrEUktVV19tufiiqAl22EM0ZeVU8uv4SnnouhRGrmOHH6tj5whTkVTQRdE1MzSFL2tRcE6MiEsxwZJ3iNNTFJd/qyqyLnAToSwG9suWq6o5suMYtXrKvuiBaE6h8U96OArsdpybHzDwRNxOw0oCxl2VIc6zyWq7gnswg8VzAXfILNziuorn9siREuE15JeSlmmK6KqoaLcrrg35RrSpXPTJNZTquIELA1iuXn82KNaDvEzh5wTMFiyqUY6tl4lq1VxNYOwqiu6rzBrM9MgbwkMxSI0NAzp+9MMrLyOI/2TwtR1RQ6W7kcTLRpA9zySWk05+gIRvDWBpWhkZg6jWlbRWnHRyfUYDdYwCzmwWlQVhAB75EBbEqHVROQVN6erYD1p6ODXLEU2TkMD2xQBPyAxHBV/l+XJlx5a1SdxHBXRNx0HQy9SrSXkpRvQ9sjntKHOPvkMqIW0tpiYVIfi30lGIHFvieaacg7nFAzGNMXtlxKEEVEtoJLaOHmF4N0z9ox/6agLH42j0aHVHNlsHCLu1SOqItZsvmh/9bq6INhMz5UhjkFZvog+dUGoHpmUx4ej/cp7Rfxq/Lku3DW+vu4mq4tpzUKXvLZRhKoLeuKKa3QB1oWmxmWI0FgXe0TAa4wBN0eLZZlC8G0EUdSXWV//8+LicARXEdyaxKDmaHS9J2641/5Vh98wx00EvLqQJ/P6P0Aiz8VTleDYSB8eJi48nLOtvq+NoqacH/Xuvvr7hhPi6g7Q+t+bj5eM4c6T+nJkn+rrlHOsfm41bmP93G48Lxr/bNznRtfhrroGG92qje7PYSm8exx9e8a/8fh7Iq4vlVEXnBoFqhdb8Ptbyxvu+X+WW/T8f+MvEV40kW/T4CbV17Nk+ToOzI3CTTQGtBp+WGbsxHZ++PlPMXfKVPK2SVe+nTTQSfyh6OmkMePJOjXuW7WW9rYcY3PtHDdlHN0Dg9x651IOOeJAHn1sKall8/iaDRQSj1xmUCpXlSNubLFASMrgQJWRLTkmdYzlw6+fz5TOTp5+dgcnLDqU155yAp//7Ps57Uuf4jWnn8ArTj6Sn33nXD79kfez1/xZFHIuVhowf9R4NncPsNfEMTyyaSNlamx++CFaxPEVZUybNJHpuRbizKccVnAThyc2raaztZV7nlxDzgp4bMMKev0S1990C5FsWahz19NLGGW3kYta6BzVxgizgwc3r+D2++9ky/bNHDrnAHJZC3fecw9tuQKl3h6W9Q5Qs1LuXfokhQ6LIK3y4KMPM6orzwde91q61/dw2gc+x6wRY3hm+wbO+ex7ee1rDuODn/o0b3j32SR+SmdnyKvffiR3L3uIM9//WrrGajxwwz0smjuN3kqVEV1tXPibSylrAWddcDHvPuZ4yhvv55Mf+SSzpxQYWLuFNSuXcvqpb2Fj/0aSWsDq9Zu56rq7oTBJ0sjYbR10zhohDF+O2GcWUyeOoy/u46RjZpFH41d/upqZ40Zy7W9u4MzTjyMKU1Y/dgvveOVRuL6O6Zqs3NjNdbc8wrqBbu5/4hlaAhfN1Bg9YyQzJ47niXUr2VTbQNxbYsDW2bR1HY+sXcbU0aNZ0d1PzvPY1D/IJz7yHhjwecXeh/LImpXEYYY2YFBstbl/5SNs3biW97zz7UzJj2GaO4IZk0ZTHOkw8ZDJtHfYysU2pquNH/zuSu5ft5QR7Z0M9uxk8T7zqA5uZ0RLkW0bVzKu0MXGNY8zdnQHW8RhOPEApo+bRK0SceJe+/DjKy7j29/+CNPmjuSOZ57m3a88lWrNYfrkSYztXMg+C/Zi/Igu1qxYBmWL/RfvzdnfO4+rrruHTQ9Wec0Ji/jG+Z/j+1//MbnZU7nh9gf4yx0PYGyscuuaVdzwmztghTjJ4KvnvpdWWnj7289Q0U0p2ovk32CZhqlrSjzKohpRUCUTIU6ilbrIA7qKckovn/jfcNpVxFFu4CWiJyKMdNxJWk4cZkmi4UhnnUjAcn8tPW+2TSTxU7GZmuLwEiJvitBqpFNOACAS8Y1r2VBnmhaRGi6adKJ5KUE81H8XinMtTDGkBzATQIWhSLRGGGAboRJ6EnGtuXK3LxhUofjahGL/ExKrEGpja0hMEsHWdlTCNS7HZNInKMKPCGVRgqHsYxa6k1NkVNE/RdSWvjf5qyVxYCV7Jmi2i6Mil+IY1cmkI0wcgJ6c2RIbFnKuRJtjNIm3prI/NqkAFjRbiSKaaK2uiIEGkcRv9QxNwCiBgAdcQoWKEaVQnHu+Ej11J1HrNbQhd6BQlnMSK5buUj1UcWPpMPV9H6o6aSYitTjXdMKqRHsFKuKrHkVTlN84JhMR1DKwRchyXfxAU32g4hQMKymmayhARVyL0NOAaii9dso4iKFVEFaziLlhZCg9WCAjYaATV+RTTsQ20cc0TLeE4ZhQ6VfdaakmorJNICQW08Vub1UioOXqOPK56ouTUCAe/aoSwRUjZGHIDSmOLhF8RYWVSHLa10cYCWk3I+6rKKqx0qXEbybzm1nUBmrSDqXEbOmEi2wPSxyRxKJRq9ipzI8nHXUCbHFsjNgnK/USK7eefJVTxGopKtHctiRW7eMYEEksWoRoESnFYWpUqERC2I1Vt16ltx8t0jDCEC0KhDaizLDSKyiQnywuY3kFzCQmNF0sU54UUIhDVeYmJwANuYSlfDIeEtE0OeYJ7e0eZs5WsIpQnG5aTTkKRfgSF6eVyfEyhgS0XBEvk/6+QDl4RZhz9JqKTEus3hQhOzUw856KrWOIm1ZU3IqaA6Hiip9SPgE0ahiy87H8ls1wJBJcqSkxU8Xelcino+daFDlY3H1CbHbNDCMs4WYVFfdNnZzqyTRE3JP/RQmuI58BUCpHpLWKuuYdx1SgIAl5GVZA6idEmcBmdGwhTCc+HXZEsge8sWe8REZjf12jeCWjLliIyCSinvwnIp4IenXBpS7ENLr25IbqrwSiBsFPRBYRfYZzcT0f2X0OMlEXb+puvmZRSISc5ojvXznwGhxr9ahoY4ebPP9268rnf94V8EOgHPWeNRHw6g6+4QTQ4boF60JT3Ykn72+M3z6/TQ09fY1z1hyblnXWabcyN81jVxHR+o1u4zYPF4eub0t93hqdh/KzuDXr+1qfM/mvvn/NnXd1im/957pTsjkiLbHh+s+yrHqstnG/6+dJXSxudGzKnNTnVN7fLATLe+vCbF3AbhTxGp2bdaFyd9RpeV19v5rnuX4s/9bY09e3Z/y7jDp5+t9h7C7mOtxj/xsx7G853F6IA+7/Sow75/9Q3Hwh6/zfDC3LMjH3/K/HsW89joLp0V8qqy6qya1trOjuYa+F41m1YitWJDe4CVM7xrNycDPjcyOZO388GzdsI2c6rO/ZimFp7Dt7L55a/iw/+u6vufb6H3Pf/Y+wePYsbrrrCSaOH82Wnh1sTvuxaxqLp81ge+82akFIoOkMdFdwhRRZkBiezRH7LKB/Z8K2wY1sGujBzDLe/LpX86ffXMfy7u04ic1R++/Fx8/5Fu/4wFvJpyFve+spXPm7Gzh0xkiuf2QNvWaZNx92nHIkrF6+km29W1ld6lXuJSEEyg1OhE8+dPA6bL5w5jt53+e/w+sPPYJBPWVaVzuGr/HEytV0D4rTYYCNpRKzRo8l8FP6ylIwH1I08rzrbYdxxY1Pc8jk2Vxx/00E1UDdDAsMYURbnsMW7809TyxndOdo1Vc0qrUNc+xEWsqrmDj7EL572YV888MfVrCDC3//R8q1MuWBEo5R5Ic/+uvIwTW/uZBf3nst9qDGwfvP4f7Hl/Lhd57KfoedQti7DNs1eez+O1h81HvofeZaLrv+Xk5+1XE8vuwZjj/xOE794Cf4xfcvAltsVv//P57u+eXl0BnzpV9dzmWf/ST//atLGdvZRruIbA9vomi1cuprDua6+x7CyXdy58MPEEg3W6qTiV7jgR5rzJ08Ad3WqSYhP/nWj/noe85UnVGTC+2srq2nyyxy8GvewKa1D1PZVKVzlMaStT2EO3xax7bx4OrlfPMj53DtfffQs201a7q3cc473skNt96mgA/nfebDfPZzX1HiRMWw2LBlK6WwwugRbfT3lkkFHCEl9XHGq/bbnwdWLaOrqwM9tThp8SGs7F7P/UueUk6yOfk2tkRQ8HR6Bvv47Mc+xL133sKsGQdw9a3XM1CuUa720Ra28YpjD+LrV/2KD534WgbjhA2bN7Hv3AkMxja/u+Ua4orGVVdcx59//2deNW0R37/xEjYbA6x5cAnF9jE4uTynnXAyy9Y8wMPPruPIVy9g033b+eDZ5/Gpj76PjbkcYXXIlSfGO3GoiSfWkrCcdKqJK8bOiEIRiQy0WKLJopkl2KZHlAzFdIWiKq+Vwj6JXopXSJxjhgggiQATBASrodkmWq2KbtkkhlAhBBShYcYZgURK40zFK8UiJ4CGLNYxHXH9PBeb1F21kbJMLZPuSBvblphpTZ0ThmuhWSZ6og3FhVMDu5gQVUVX0BQ5VQRITRvqxUtEeJOPNHEoihspHeqtEwFDYoSxvFFzVIRYbZfEOsXaJKRRK48CqFajIZpwluDaGqGIjpkACqRfT7oIJaIuVF5PxU5FsBDKa+zHStByFLlYVyK1QEN0M1IdaoZuKHqzgGAE9mBYedK4TBxI31+s4BWWI8dkCJ4RaUOdb7a4uASqIsJPIg4oXW2/DD8yKLoxgXTHJYaKDYtoE2c11QOYybzKMQs09LyOKRBfZecU4IWlutDEhSd9b0ktRLfEdeWT73QxBgUgIv1n4nZTzWsYuoik0sE4FMWVPj3XFfiITUKNvIizEsdsEdGujJEIBRcVYY6CiEzmXAReJ6cACgJRCYIAw/RU3NosOGhhqrocRdg1KxVSK09s5tDFuZfoJCJMOkMusLyXEMi+iFFS9bEORdHDqq86Ex1bZ2BQSMB5LHGa5XKkldoQ3MIx0cWVKhAHu6jcftJNp5sujmcSxCF6KidErNx+qVFQwA+ppcCQY52iJwaWkVJVEdih809ARUaqIadR0UkE/0HqCCnXxDFsTDdWXYSx7ihXnlp+EBGIOKc7GCIqV3wyV8NOJS5tYQh4w3JpNUPVUSrnnJUrqkhvRc4fcedqAgzxFC3bcVwSOdeF6Cyk31S+GBOxWK5diYNbaDmJ5Wq4IqRpQp8WQI6I56JPWxhxSqUaDAmqTg7PHfqMF8E8KPno3pBI7hUcKuUA25M50IgrvuphjYJEueol6q3FAW5HCzWJ2MYpmXzWBGVVHyBwEC3TcWyhGctnjokRyTkpQA8bWxOhX1P9vNKFaFumijbrRspPfvSzF+OfL3vGnvEPj7rrTgSPusAmwoSIJ3WXXv3xRnBFfchjddFuuOcbh4gvjc6oxsca19O8/OZuNnfiD5+/Wan3qzVv33DbUndciUhXF4aa93tXbq3htqVxHbIdIlCJ4NbsLmzeNhF15Ga5vg/yXN2pWBf3djeP9bhyXZSS9zY6+nYH8pDta1xX43N1UUo5/YZZRqNwuCvxqjHS3LgPMvd10vLuRvMx2N0xaYxtD+fu29376o7MRmF6d0P2XQTEv+oObJgzET0lst4oXDee7/L3ZlH7nxm12zP+eUNimHs6/f5+sMSe8bfn8vyXyJz+b7fjhfY1vmhOPin47++uKIFACIFz5k8kP8Jm+/pBjjtgX9rb25jSOhGv6HLkvJmkYUZU9tk0sAO/Chf/8DJ2xDWeWrKSbeUKH//IaVx79b0827dD9bYdc9hC7lnxDH1amZFGgZxl8ujSZZiTCuqmc2dQJkpD5SKq7KixeNJ4nl62lo3b1qpY0+LRk+keqBJs7+Zlh83lHUcejTlCp2viJL5/xcXMGj+KHaWAa665lbAyyB+eXs7OdJADp8xiyfpnWfLI4/RW+umpVilGecLeEDu2aU9MihUHNyeQAoPp819N6wiPk47cm6RvCw89vJKHN67Bc1w+e+bJzF+wkLF6O319PgceuI8iKo7ItdNf6ad/cw19MKR9VE7RNGMrQ/PAa3E4+0Ofob1jJotmzORrX/kez9ZWsvf88Uy0Sgzi0t5aYHRrKy3tYxg7axJf+vQHqAYhP/7CORwwYxE//+G5kPrPH66xXV10OlJcrnPSvgfhlxN+euVvWf7YH7nl+ju59vq/sHjxfPXaVet9Xv/6Yxg9bRwbtpU5/UP/xS9+/CNK29fw4G0Pc9Pvfk5p6fX4m+9k+uIJdI4s0tFhcc2yJxnVNoZxs+YoEvAxB+zFlup6vnbVlTCosXDaVGqBr5xnIh6ZEr1LhxxC+TaH3uogqZ/y8XM/SqLpREkvy0vrGNc1ggGqPHTzzfRs20ash5Rjj5XdG1md9dA5oRMtiPj2RT9ieqvHlNwYRtk5vvbrP9C7s0TBNnn3eV/iqBOOpWNMF3kvr3qyzDRTXX9eW07dNJ9w4CEqknj7ssdYOHUWXbHOsxvWcNnd1/Hk8lVs7d+p4r79omIEFZ7dtIm+UoUJ0w6i2l/jC5d8jw3rN1Du26bi4C2jbK6/4w6K5Fm2cTUrV6yiPWeTpTYjC3M44y0fYv60WSy9+2Y2bX+GU374flZsWsExs2ZyyttO46gD9sGd1cpf7vgjV996J93dm7jtqseUwPeJd74bT6glApCQfjih3YqhS8yJuq360aR/T4x+sZ/i2Ki+KwFNxEKYtT3SqKbeILq/JmRNsSBJzE+EKgEjiLAtN+ik1KJMiYXS9SeEUPE+ZYk4qMT6JWRYTQk8UqCfhQLYsFVfnKlJxE+gIDEVEbOSQAl/xRbtudiuRiBwC9vG9YS0a6kInxL45NPKSYkHJXIrjqVkCHwh7kLdUtsnIpOAOURwIahRkwJBtd+Z6v7TJQQpVFLpWosTqkGMYXsYuVZFo1Y4YhFvTJFFxeko4pmOlYgbyiHKpFMsHor7pgF65g9RXIOUUNxpRqyWqdkinIr4WCYqx5I1VPus24ly/olbLQyE9CquQwPXlVijuOSkX89QPYSpxIQtkyhNlPgn8Wphn0i3mq0JqVdAJinV2FFQESUUWjIXpnL2BaGIqRKptodi8eK4tARgIaRksWlKZDhQEJWwpilisvQReq5GUhGqbEIq7j/pgLNk3mpESU7FQFXMWkuV68pR3YRgeiKMZqSWHHM5l3JDJGPbkV8PCuLhithqmQRhQs4W4ISNbTlo2HgtBQVF0XIuceKi+yGR16EcX2ZSwjZiKIrDTyLjEXbRpL9soLW1qX2xk5BQHKflCoZt4ag5iNUxlOvTM2IC6eITGrh0RAYiMBkEuuxbipeKmGQrZ2dUFaCMdPFJnDwBr4CtlXAEcuEItdZQcBuEQB5JTF0i1TY5I1KCqAipxUKsgDeGuP4iEQtFgIyVe92PRduukvoVDIlcCxBFYrB+FcfI8Iomlp0nkOMnsXrXJm8MUa8TW8MQMnFcIpWuQEOciDGpRIhtE9vtIhLohebitucIvCLFfEIkMd4oxq9WSDQfPZS+x4hQ9wgjDz+1iMwM3dHVtSHituyf0Vkgb2XU/CGQzeCAwDFaxbxILUkpDVSIJaI/KPCVAK9gkgQKR61clTU/xs9MBnZIF2RCZnt4Rom8LUKxdBTqqntSjpUi82pF0rzEo4e6GyViH+kORQtapOMhDRADayR1BHvGnvEvHiKMiEtNRp2wW+8tq0cPmyEIzYLX3wJN1J11dfpqo9PuzNYP/9W2NI9mUUi2R8in9SHLbIxZ1pc9nFgogo4IfPV11QW+vxLkdkNBbXbtyd/rNzpK5HxOAKsvU+Kp/wPQ8Rwgo+4yaV7frrr6GmOrja+t03Gb47R1J2Tjsv6qd+85UbDxdfVtHzZCfNNvnl/P33KeDQcP2Z3A13g+NM9Dc89f49+bl1ePAzeTm0VgbIxK1499XeBrBKo0b//zPX3f/Mbz7sXmUX/8S58+SLn+6u8R0bdZaGxe157xnzf2CHxD46UgRv2zyLn/1w65c56by5fKnP492/G/cX6+aE6+Y153HJqUl4uyIIg9E5w2hwMmTScJYEPfNnKKmmcQ6iVaswJ6S0ZadSiVBsnSjP5SlUHTx86GytVD6clrLzJpzBg27eime7CXuW1T1Y3v8q2rlcuktsXn0ycdws+3rOTglqk8vGE1eR/6kiqtIzvIhybPbt+K5sdoLQYj3RGMK7oEWcbaQYF0wOUXX82nLvgI27dso9WwSA2HouNQinTOfP1r+Oz3v0WkxXTmcvQMVGgvtBC36tBTZcohC8ntCPA8hweXPc07jjkB24zxBwOuvfduDjtyP66/836qRERJytTJI1n72DYKnkfbqDxvPfksrv7tFSzbsJKPvu2NrOke4N4n7mfStNk88tRD6uZYH8i44nuf500fP0/FzP7y2xt512mnMr61lf32ncRAJeHtZ3yC/vuv48p77+OMj39J1Are++7X8uOfXsNDqx6m94n7GTtCY6+XfRDYxu9+fQ3ZwEb++PBD5CR2porKxK+VESQCUhDhNsUSwUjdZqZMGNfFyo1b+eXPruCt73oTl333S5z58fMwDY1aEvODCz7Lz39zDQfNn8eaviqX/Ow3FLtynHLs8WzZ1sNTWzezo28zX3n/WZzz3QuZM38Wq5avpW9HiaqIN+UIQ8RSXafg2Jy01yLuX7MG27HJpUJkDdGKBkW9yJq+TQSDNfYaN4t+vcrU0V10D/SworcbI9IVNCU0Mk5ZdCS/vedmXnncK7jlzvsY05rHbG2jXKqQuQG5ik7H2HZWrO6m3dZ4fO1mjBaTaVMmsHrjZrzIwO1yKVYNXNtj0pjJrCivwnI91q7exJsOO5Grbr+G/SfNYu5Bc2k3PEaOm8jeBx7DqWe+gcFSlQMW7YtrpPT2Vpk8bQzvescnuPGnlzHtwNHceusdvOyYw1n98CqqIyxWr1zBqKRT0Xp/d//NXPbDP3PvNb/kkJPewaNrVvGZT76Hkw5fyBOP7uDbl/6MWy66DqYFvO6YN3PRf53P/Z1lBRwQ3SWtJRhxpFwy4m5SHAspv9cttDRWAEs5dpEQbqUHbqBGJiX/maaIpcKPCEUUEQ1CE+or+KmOKSxdcfPZQtp0yYKKEq3iyCBOMxXyE5iH7TjoiY+u2cTqM0EgCSUVH40iieKJY8hRgpx0fiV+qKLbIuDFEvsUBogQPJVAKZ1ucjFIpFUIwFLWnyMNBVYgwlldtBLnmJQJCnBButIsBSdIhd4pC5RuwTBSIp3qzpNif0XWdQi0DM+W7jcRLCUynJKJS1BIwsptZirnlS7xY8NTHX/KWUeA4eaVk09mWPrZHBE3swDLzFGVbylSH8PMoUlfoPTWSfeea+AHkRLoJJo6BNNICRNTXXeiYYgLUcQ04YTYaUCkIo9yTCzl2JK1m7oouSLOxIhmbmQ6sYidsVBgI2qxq0RCiXYKaRpXBLBUCVDSPSj00sgX6nGCYeeUkKlilYlGaoqDMVIClWyL54gwKnHVHJoASlLBKUQq7i1zLF2Lsiyhysq8KwHf0AjEXCmRZreV6mC/6sKLsVSHoimUC1UmKX2R4haVrsIMyxH+Tkols5TAlwodWagcIhQql6LIzZoSuESYiiJx30VYhZzqDhShTI6JIcK1mP2CkExi1mGIa2kKVhFlQsA1lRCehAFm4ivCrIrvOhZhkqfDi6nVQkLpZYyFUi35YCEwSydjQiBCd6rhuI7URqL7Pm6LSyKZZj1GcwoEpQq2IeiVAsV2Db+/iqYXCOOaEtxDcQSK+Op6yikqArXMkNjnUlm2BYFEzaU/slJFa+0k8iuYAk8JSiqmbUQBTr5AJNeTiMShuN005QiVuGwl0snbHlpaohZauGZCLYywXYcky6lewEhEbr9KoDl4joi2ImGLczXE1HUVn8515vBDcZwG5FxdRW0NgeDIrwwDWgsmfb2++nJKIVQGy7gFERLlbM0U4VqE09CXS7hIFpUxPZdaNVEUZ1m/6RbQorI6z4XYbOspek7i+c85jQ3p5LT59S++/2L882XP2DP+4XHw50/4H4+JWCICSHOn3u6ccsMJO/K8CCsi5DUKKnVhRCKodYdTsyuuDnQYlkLbIDDWnXz1nxtH/f11l1fd+SZ/F6di3VnV6Barx0ob1yPi5w8HvqtcWeIibO55kpuYRgdeY9ebLLd+QyTvqe/b30tcbX7933Id7m4Zu1p3ozNtOLelOPxE6KvPs+yXv+HMv1rGcG7MxlGf//o51vj4rpyVw21PsyuufqyHc6DW921JzwFKgJFtbl5u45w0OzZfyJzKqMd6xR1bj5w3Oh93d7xeKjfve8a/Zvy/7P57qbjT/l8/r97Nn/4u4vD/ZvzTnXxdnQWOnrsXxxy0L1bexPQMtP6Ux3auZumW1RhWG2PGdPLao49gQ3cfOyv9DAYBxx56IN3RAKMmdTFYLnHKcUcyOl8g3Jly4rRZbNnWx6Z1vfi9JocdfAjTp4+ko106rCQGqPGyl83iF089w17t43nvB97A3NGT0DpcRrZ1ceLhh7HPAXsxc+xoDpo7ldfscyBvOHIxqwZ6WdLdwwFz5rOgfRrnfvg9vP6QfenMddHe1UZvbz9RXwkjn/Lpb3+b+bMnse+UiVSdhFnjp1HVA/xaWcUtL3jf+XzunK9x85MPUuurMuuwo1jbv4OWzlH85Kd/YEzHPM543Sm8Yt5CRueKbF/fw+mnncSsqZP58us+wTe+9UU27+zm4IMXsmxnhSzro9Pt5PB5c5VwmMt0rC6Nt5x9Pmef9g46XJcffudz/PySX3DEgXN41Vs/yu9uuoHPfeT9/PKmu5XA9+ELPsDnzz2LNIn4xc+/zP7T98M0Pbrys/nof72Lcz5zAW9423tYtXYnQZoy4AdUk4SibSoxoNURp4XJt84/lzTL+OD736WEmHP++7v88mc/ZtkDD+CIWNDSSaRHzB89CUucM51jeezpJeSKrUpY+tT5H8R3E77/5yv5zZ230De4mU+e/GbufOw+Jk4eRbg5otW2WbxgDp35HGNa28iZOp95+1l0FjweenYLrzzmREbMaqdcEjKlx5i2Dip6GaMK8+bOpBSWmD1uPDsGBsm7RRa0TeStx53AhNaJtBdauWnNg4xrGc1Tzy5jrxnTeP0r9qJgRazZuIFqn/R1uSxf3U1HWys7aiFHHX2Qulldu3o9uTaXzNOGOue8vHJbbQl3snHtTvxtNfKGzV1LHmfemFncu/5Z7rn5EfY56ADVpXXECYezqWcn/YNV7njyfu64616SrMKvrryGo1/3Mm5edyvXX3s7f7r9Hh6+5c8sXb+Kx299EK9ksffpJ/C9y69SAsw73vsavnPF5bz3/afwzfM+yPGHvpzTTzqVHeVu3vLa49nvdVPw1tW4+fLvM2rvAla1H8tx0TVL9acl4mqT/4mgI1d7ag519Ems0MqIldMtJPIl0phT4pIovCKiiXtOzywV+xXnXiIQhUQEJh3LCEnjTIlwInjUEltBReQrgyg1cC2JzYpjzyAMBcQRKREoxFOkDrmZF+FMXFqJuPQSkczEOZfhV2QdsRImM6FUiJCji/tOhClxfcaKGCvQB136+MTVJwJMkhJLRlISkOK2E3KouIDCWAkUSSROUYlhSwRXnHGaeq/EasWJZaWhAh2IcCNAkjiTfKIQfMWxJeuQmdRJBbKgBzgiignawJTIcaZEL4lAm/JyR4SjHH5qYkvENXPV++sRXvnoFdqw6HtpJm65lCgVJ5+OLs4xLSCsVTGlI0+gILJPVovijwhZVRRSAWt4dkaWVpRzMo1SLD0h0zIMcVVaBrXAVcfKiCJcEdBcR0W0xWgl0eLY1FU0XY6rwCxCEcUy2U+hLWskmYumCRFXrgGTODZVT2NcLeNqqTI+WpFGEFZV3YKZ1jBdEe8gzAqqG7IkBmJFrNUJQwPPE0KyqYjh0qEYqe8XRKgz0a0hZ2XeEcHUpZLqyoFXqdRIBhMVyRZXonRGmrIvIhy7rop9Gq15io6BHvjYjkc4KCseotbKSaxpLlZSVZTX2PeVeCxfIKSS348l3pwS6YWhNsZcu3LCSfy8Wq0SitdQl+MujkgNO8nITIco0VXnowBNkki+oKqQWRqakHx9caehRM9cwcDJeRhpBTMok4lLUkRgEYqjmhLMQnErB4FyCAqpN7EcMuksJSYIpNLAICglRGYL2WA3lp4SRhVFJhZnX+i14gtp2M7jClQl7+I6Fk5SVhARS7ZRmNV6Rmu7OCvzmIZJ1Cd7J0TrGpqc020dCnQRlEXEDdD9AfREnH1y3YoD1cCV4yNx3shRLtk0lr5Pidwn9PamQzCZVFPuWcGpqD+F2B1V0R0P2xEss0YURphujkDcoljE4oY15TqIcXIC76hg2zqx7hJVBISSqd4/+X1ka4Mv1j9f9ow94x8e9Z45+a/ecyZut7rQIVHcZjGvWcxq7N8TV2BjD56M5kikrEMEvrq7rw6IqC+vLuDINokY1CzwNDrq1PubHHb1vrz6PtWX1ShE1tfRLE7eab3l+b/XwRMi8NWdjXJDWr8prVNn6zdGzYTiumtRbp7q7sPn1ztMX1uzW6/RZTecKFfvt3uho3kZjcCIxlGfq7rrTPa9HuFt3EfZ90YnZJ3Iu6v9Ufv0XAde8zlRP4aNLrzhgBf13r/htlmGCHzNIJn6vstzjY6bRjBKoxhXd/o1dkA2O/Ca3ydDzuk6UVTeW+9MfB5C8rGPP3/e7Bl7RuP4TxX4XoiL68UW+Ha1zn9nAMXfMxr3c7jzalfz8EIEvhdyPF/MzsYXzcl3xsdOYcOGAVo6PMa3TWbZluXEtZjRbS309pVxWgosnjmRge07WdrfwwSBV+R0WrDYUSvjtM7l2L1GsHldHz396/Aim2Iux+2bVypXkJhCRne0cvyBh/Cza67D7jI5ZdHB/PnORznr9FcSDwQ8tnotHaZ0SoUU8x7XP3q/KpTfb5+92W/WTH78u6s4au/9OesT5/LOt72ZaRNH8vkLvsvbTnsdP/jvz9E2cTFXXXEJxXIfK3ZUmTh5DBf+9jccc8hiDly8gPvue4paLLeNZZZv2IyktH7188v46qc+zENrtmBFKb4RkpU1Xvmyg2gvFhk9poVv/PxKHMfgDUceyfZggFfvNxenfQxf++nPaadILQlx24pQ8dns99BhtzBl1kQefGI5gRVy5LSDuW7ZnRw2bhbHnXAsS59cytvO+AS/+dPZ9K83FfDh4ScfJ5/LsWHzZqbMmclZZ53LG055Occdehib+7dTKLvMWTiLex56jK7iGHYkOxlhOTy+YakCLIzJdzEY1ShqBpPnTGdgsA87kE48neWbV+GYOm1unp7yoIoeR7WIX/z465z2wU+pPrD9Zi7k9Pe+kfd97DOc9bpTcNpdJo0dx0fOv4DYFBeNRi4v99wmp7zy1fzw+is5/chX86eH7qD72R5qmriFhii3nz/tbfzq6jt46ylvYuuyZ1mzpY/+/l5W9a5WQtWotk5GmTn6sphqpZ+KAfPbx3P4a9/ITy75PvvPn8vypStU32FgarRbORUJ21brZ4RZ4OiXH8Kypx+HYicDpSrf+spFnPmRdzO1fRS5LKbHzlg0dTb9QR+X/vE6FXsVEail6DKxZTzL1qzl8P32Zt2GjYrWK86pnh3b0XMGr9j3QBbtM4MPf/V7/NfbT+X7P75ExfX2mTgF120hzGp8/rwLecOpr2DG2Kl8/YIfI9m9T5zzPkaO7uBtJ5/GmHA277zg1QxUA9pSB63dUhFREWOEkPqyfWYRlAze+vH/4kNnnMoRixby/o9/jaWrb2du2suZVz5Af00jkZO1VlOkToFGpNLMl9aU60jcMCqyKsKa3OiLKJZKp5uodOJeEwEwVs4huZlHF0ePiDHWkNtKurMy8Z0JoENXN90iC5mWEDBFtREqqU+sYp5DXX66bhGH0oIYDRFURTITl6F0gUkHWBRgGeLa05TgIQ5ScbkJwVTImgIfkP6uRLNV7BhDesckcymi2JAoJW4piRQLUVREQlOTfc9U5F9EEhEeLDMkrMboksvMBARi4lomaaIRxCm2HaOpN0jkVvroUgVHkBmME+kBjMgsgQfE2EpEjYhTV8E/NJkzobxm4FhDop2IbH4kTsRAiatKbJVori9ChUibAkLJkYoLrhKq69FyckPCW5bHMKoK6GLlbHSBiIjbWM+kLhEtjoZgKXiqJ8/Kaeg1cQda+LqJGQvIIyJMpRtQwCMBTs4mCAw8UyMU1yKhWnYWmoSlEpppYBVsKn1V8u2e6ouLdHHPSaeizHFAGIh70lHEZcdxiCKBplQJI4n8JspUqYQ3z5Ck7JBrUqLJOTBT6Y4z0VwdTdxceVcdD2VXiwKy0Fd/VR2StYy0WMBzDMIgIhGromujRyFxLARYTbnHJMptiXutUiZV8dsY2xWoicSodeVAFNHUsPMqIi4dgWEmopT0Jco5HqLLsbQTFaG2hKYrB1GXHs6dJJlOrVQm39ZKFMdoQU31PkZaRhpE2OJn1IpymQyd4zkR0DTSirjtaqRmUV0nIjIGpodjiIAOYZxhux4Vgc5k0r+Kch5KdFUPAyLdwMtZZNUaoR9gei3ESVn1UHoCeNEsAi3FlmsgFtKtiRNHVC2XvOeoc8xNfKoi1psiusv5aKiaCIGHUKvIWUwS6rR06Ozsjim0i/Dq4ibynLhXEyKJTNs5dEL8inQ3Cg27MEQBFjBO5ilHniYdkHJxOjpJrar6/ILIUm5Jr8Ui1m0FJ3FtU12n4u6Ua0rm2mnrIOrboVyIpm2pc1EXirJpUXR9kjAjwaQmdR1BH6Hu8sufXfhi/PNlz9gz/uEhrqPm2Gr950ZXlYzhnH31Pr7mUYdXNDuzXkj/XWPnXP3nRvdYc5fdcO60XS1/uI6/xtEsKDU/Vu+1Gy4O3DxP8nOjM/CFjuZt/3tdf43LaXbW7W5eGgnGIlA1Hr/6/tT3s7FLsT4au/yG6+9rXm+zy7NxGxtf/7c6CmU0z/Nwx3V3+954PjSKf82v39W21Pe3sSewUVhuPJ8b19M49riZ9oz/tPHPdIe9lNb97zbO/ye7KV+ok+9FE/ne95H3smHHRhzTpFzzlSiQtx2qUnAuP6bwgbe8nrsfe4hCLCRBnbU7N+N6JqX+Gq15uXmJoJLRl69il3VaMkc5g7ZpZVW8nYja4mj8/otf4k3vO5ukOHST+sHXvYnrbr2FeZMnUI107n32SSa0FHnly47kDzfdhtE6kmKbuDZcejdt5cSXH85vrrtJgTgKxSIrtm3m1EMO5dYlKxjoLTN9dDvdtYRcUecH3/ol537+E3zhvK9z7qc/wKaBbmrljO1xP7ZhMqVzNh87/eWc9bUf0Cpx5CClovvMHzuZxbPm88iyJdSiftKBkP4oYPHM2RjtOW599BElXI4dO4rTXvUq/nD1TWwv9dC3M2D86BH0hSVefcB+7KhW2Lp1KyNGWMyaOpMxXV2MaB/B9m01iq0ZPd1bufqmByiHISe8/EAmjR9H7/YaF/35Mk474R309W1gxH5zqdxT5sT3vY0bLv4Jdz31APn2NmbOnMUf77iWWZOncs6ZZ6B3zIPSSnp7BynkTCXC9A0O0loco4AMjptTpfIScZQb6ygKMb2ccmS1dApdt50vf/6/ePlhhzJzageX/OFJHlpyI4NhSNHyOHTmfMzU4NnSDrb2beO4xYcwf+ZebNq+honjxvLTq/7AxlIP/33qqXz1ystYPGE+syd3MmXkGFavL2HHJXVDu3bNIHsdOItNW/rIeSWefmobbdNaWbdyI3YK5cBXUfH+LVXGzuxi88qt6J7DEQsPIjQixuc9lq3eSk9/L6Nb2pm9z1gyxnD7HX9m684ap77+NVTXbuHZnTuV43Rt/1aKnsHmvgEWtE/lmZ51qkusRcszLtdKj1HmM+84hYuuvI6JLSP4r7O/zE2XXcp3/vhL/DjD9DIOHTuNE99xPOU+uPuWB7n9qYeYP30icdVnVMdYPn/Bd/jWtz9DUoIgrnD7U0/RNaoFLdHo6e5nxsyxLHliHe94w2vZXtlOeVDnsLe+ge033c2SJQ/zjYsu5cFfX8Udqx7nE2/an7f9+gGS2CKt+CqeKJe5bjsYQajcM+KkkwiokGh1cdFZclMuhFwRYUxCTeKaQy5AEddiEQAT6ZRzVUxSHGkSqXW0gFhEulTHsoZcb4kIcOKHlP4wcbiJuGgmxCLy6BGmYasbfFv694KUzNCxLV2q85TzSm7qIxFkxL4mtNo0VMKHnI8iUGoSoTUi5YAzXYFwRNiWQeDHijKaJUL8FNEvQItC1Q2HkRCH4tBzSEX4lGiubK9rE0dCH/bVZ43QR3NiNpSYYqoLxFcJjJalKS1RHGQizEj/nMiaIrKJH1pcjRK7FFCOZxmkRqIqCDSjCNoQIdYUZ6XqNxTBKyaIY7xCQYkXSI+dKFWpiHaWcj3KlwaxZ+HGAalpK2ElDsRJJrFqEUw9XCdTgIt8sQVfyk0NcbXJ8U6VWCXddFkSKs01SqVvMSaXc/CD5z6UI/GS6SqWmfNSND9SHYvi6JJjKsAQ8V+aAiuxdIJqGc3UsUXFUwWB0qcmWdhYxWPLArzQLSxT4rOpOk98Oc+eAywIuViALoaVw9ASymE6FMUMdXS9RijUB0NI5hLhDvFai2r/NInoCrHWcNAKBbS0QhSLcFzAivuUC1GcYo5lM1AW8IMh5jwFKUnLJexCK0mthtPqEpQDTM2iKr2RtQA775FKrF3OMMdSxybOHMw4QpdyvbxD4ldU1FjLYkXlTcyMOBIScY0QW51zdl7IxpGKpEYy4bUyZr5NuTuTqmyvie34ZHYBQ4i4omnGGbXUJm+JVGvh5lJFcB6sRliJTn5UHr8/wogHiJ2imte4JO5Rga14eIWEGAc9zoiiKrm8Q5iKQ1Si2hKTT7GLQkM2COULmkJenf+C8E1qZRK7BSMIsHM6oThvU09FlZM4pqXLo9YnkBEPohLVzMGmJJeSuuYzy8MrWhiBTy2SmL3Abix1TWjyokx+50JY0UmF6GsIJVfIStJdKVTmKuTa1LIVSTk2cfVArlq0ik9i5nE0n1BF6xMsBfoQKIuJkdbEQ8vlP/vxi/HPlz1jz/iHR91RJ6MRYtD4s4gRw8VYG0ddAGoW5+pDIq/ikpObrrqrbXdC2a6gHo0CWqNQ0vj33YlCzcLXcDHR5u1pXraMZnGz/poXIkj9rX1uBGPsSuB7nobcEMF9QesbZpnNy9hdxHS49dbFLdnuRgG0cT27Eyqb56AR/PK34r+No1mAbRbYmoW7XcEwdhUTrz+3u21qJDM3iuW7Excb52aP0Ldn7Bn/d0JWHXq0Z/xrRcN/ush30utOwHA1qgMRXSNbFACjt1whkzigrqGbOme8+nVcffttVKMSrjhUXFeR83A19ERnsFxl9IguVg9uJZ/ZHLz/Yma0dfGLm26ixW6je6CbSiVk0oh25dA4cMJU7tu0gjcd/SruvPtORhc8tlcT5k2fwhGHLuZj37+IqV1jVRfe8o3rmTpxMtu3bmZCocjagUEOnDuHp1euZ5/5M7nt0Ue57vK/8LZ3vY4pMyfSs327ErAOHz+ObFQLBbOFdRu2YKPz+zvvVjdn3iiP1y+ezVUPLMGIMyVuStdeFNd4+cKDWbF0HeP3nklXEnLolBmMPOJYbrzyZ1zz7H1Mtsfw5JrVjB81mhMPPph7ly7hO1/+MZ/76AdIOnyeXbeVk/Y9mOOPncdZ5/2U0vYqbz/yOLaWN9HvR/SXq7znDa9n0ZGv4vTTTuNnl3yCNUszrrnnap6892EuufQPfPHcjxImZc774vn8+qILeeXxL+PBh9bx27/cwIbWnbx1zpG0uzbXPvEQcSnkFz/9pTTUS7YOwjLnnfs1toUl7NAiCCt89XOfpmXCBGACv7/8e+xYtZW2fJHlvWtVNPR9b3qbtLWxcWs/f7zhVsaNMLhr2TIOmLKITYPbKA2WqGoprz/uIO657SkqRoCdujy7fqtyhwktNSrFXPDR03BMl+Xrell8yDSeeGAdlZ0bKU4aTak/5qEHHubin13GOeeeSVJJ6NF6aC+MpmftDmbPnM7xJx3EHTc+QZKU2FQuM6F9DHc99SDjR49kR38fcybOZf3mZ7n4wt/x8fe+C3NEgf404NCps9ne3ythPeIdA5z91R/yl5su5/u/+AV+NVQOLCM1OGH//Xhs1TImYPFkqczJp3yLd71hLtdfezH33vu0ilOe+rIz+MW936FUC1ndu56DO2bwmU+dz6rSY/Q8W+KcX3yPDqeNfafN4tUHHM+T3Us5+Z1n8ufLL6KgdfGday9WolUh5yhxSgSmihEy2mjBK3bw0x//Ql13v/7et3n5q05i7OTp3LD8DqKlq7jqputg1ETCqqkig+Kok24ucaallgAxULFPicCqJp5ERKkhN5Pp5EgVaVaidCiRTjrhFBVVE+FXRF4R6gzVsSdOOE2AAkFVETmzKCPThJYpHh2UUy2JNQzXJA1kfUOQDlckONW9Ka8Vcu5QL5707sV6rAABQm0QF57EWA3PwRQgRyT0XonYDjnGhA2iCUnWKxAN1JT4LD1lQqU1XaH0CrXWUNucSe+kqJgK6SnE3ppygKnPKInjWtIFmJCaJpbEXwUiEdfQVbBXJ1PRVh9DeghToQ1Lh5qIaCJChGgiGukeuh4oV1aKopsoSnMswlGY4YiTT0i2WhFTiwgD6cITWIgIpQlRYikAjTi0ZAbVbIl70XDxTBEypZNMaK8GYZqiOwaW6lxMiaolJeyY4m6zDSxT5t4llihq3kEst4nmkEUyb0I8GKo8kFimABuiMFSxexH/stTCjHxiU6i+roJ5EMTEdoytueocMaSIURexRjV5DjmzXAvds7CDKpF04MnseY4QGhQVNRTVR8RfIR67QnNN0e2cIvxqEj81xe4bkdVqSgiSjjjN0klrqTqHbTvBr2aYrgiWIvSK4Kgrx64r7kxH2Cn5IcgJNeU8lXinLuKwUKIF9mAZwnAm0QYxqxrV1MJzExV5FuhFbTAFS1yT/nNOT0/1WqSZRSLwInGPOh24VKmEmaLRejkDv6Rh5j1qlQDLk+7IFuy0TJBqePJFj8SLyannc/J9UORjmUV0o0pmdxGWd5BvbyUKqkjaWrcStFTckz4ZHqabUq2BI0lncQAWNWLpW6REktkYtkG1r6yupWJxKBZPVlZiHDhkmoXlxoS1lNBP6HRDtvrSx2qq2Lcm/Zm5AqVqRouV0F+2cbSK8HloFTFdSNSZhxnXFEVYSLea5pDKXAU9ZNpz168I4eGQe9jNm9QGxfmaI2/HVKsBmmaRtyMqvoZTsNHlfA8lUu3imDV6+zJachI7Nkh8VaaoXMwSNZfOX92RcyhUdOif/2io32vP2DP+lZ18IkRIzLYuvg1HKW0U13Yn8tX/3iySyRjOEfa3hJq64DMcQbf+fHNf3+7chcN1Djbub31ZjY7BxmU3OxKbR3O3oAhVzf1zdVFHOtxEZP1bTr1G8a1RGKqDMBodeM2veyGjUSAcTuAb7tg3Htfh4rovxHm4O+JsYy9jI522eb+GW0Zjt2Dj2J2zrnE0Csq76nlsfm99DusR3eFGYw/krtZbh+DsGXvG//XY04X30hr/Lx2P2/7ZnXwS93JaLBYsmIZRNIgqCW3FouA06WwtsmDSVK5/9CEV2Zs9ZRSG3GyZNVXgbkQm48Z0MDI/kt4Bi5xmM7o4Aatkcus9T+AHCX4UMrVzPG3tRXr9Mh947evZXpObJYu8086Kjdu5+eHlPLVsJUccvC/33nc3WjVj/Y4t9JVKtLZ7VLb3INqBFOG3Fm2e3riC7o192HrIuLZRvO89b2bfufvxyKPLMCybkS0dPLh0M9fd8QRX/PkmSn6NLGdxyNwFvOqwQwkHI35/73LGtnfSYrco54WIm0Eto5A3GKgFHDZjImMndrH3yacyZsQYTj3rc2Q7JeoW48YmxVaXW+55hGQw4vWnnsDSrWtYt3En88fOZuPOndjBKHItnprbnXGJJzZu5oKvXkRf2st9Dz/Alz5zFj+75BLOet/5TJ07l9Vrl3PeR8+ge/nN+IMh533xJ3zyg59m33mzeefnL+CB5Q9Q8QbJ9Rt0ZHmWr9zAwGCN9vYiUFX/3X3ng2CP5rOfOofSYJnufnHMFWiZcDArH3mKn33jUyxdtZZpC6ew6LCFLNxvPie/7jVcd/PDtE7al0qth0RFmrcxstjKTY89jhUV6NleopgzOfl1n8a1ujjjtW/mNUe9jMP23puOzqIER8mN9cjl8vz22pspmz185wcXgxGwYuMOKoPd3PnoXRTaI1737hPpHfBVzLItKjLWirGLNpMnjmXTs7109+9kcCBglGMpgS+pRbS35Fk0YSqj2j1mjp/GTy68gOnjxzBj9Bg2rVrP3FFtOLbF+CnTWFLq4U1vPpHjjnkL119+E+MmdLLP9OlMzLdy67Kn2dZf5oH+HdTigD9c9VHed9o7+NbPrmBHpZenNyzhguvOZcn2tSxbv4rT3vVV7tm6lot+cCEblvts0itDN8hmyq1PPMwHf3QupfIAF//sXF71lvdz3W2/Z/7YGYzpbFEChQAPTnrFfozv7OL9b3gvX/jKB7nrT5eq686cPZHPfOlctf7jph/Kd3/9S7pLA2jiGLM15U7SpGNNhD2JrwoQQm6UxdmVyPOa6lUzCbBse0gwM01SX6i3oXI16SL8CMpF3Gri4tMNBbfQRRATgU+iuwq8IL10EreVbjVD9X1l4uqSTi4/VqKfQDvEZadccKIIGC6muJ4s6RUTschXMBxxbAmAQ8AK4gzLyjXJppKJsCgQjVDooUL8zUj1HFlQU+RY25T3ytyaQ85EEckSDV36zVKNVAFmDIykIv400kRX+yd6SBiAmHHzjoiqEmMVF6Kp5kjUC+lyszWLWLY/zbAti0xEHgLcnK1gJJpEchWRWDr4BNIAQZBgZjl0oaXKfJkeukQuxekmXXHGkEgnQCFLS0mjGENK7YQjIoFoK1N0X+lwi4OYIDNI9BTTssg910UoXWgtbbYSJhPh/UoUVGA1tYjMsJWbOvalIE4i0UIIlqtNICSB5EOVY1H6/KSfMZNor4izOYkYe9i2iG4lMjsjrukE4sSTuKv0NPpCIo4wnQQzL9KZQVaVvkaTzMipKG8wUCZxHcqyxsRXsVWx3FqZxLEFOJEpobOS2SpuK8Kwo0v3GkrElIlILEt0NyVWGTmBw8R4po2h6vkCFdvVW1wiyyPVAmxLQCfSlaiTBhquGWFI5LeaYNQi/NIgmi+UaB3PCggHfKg5RCIqyfmsZ2ouLbuFTBfnqE0mkdNCC26xFcOs0i8aoPRGBgFh2Vc02iQcwNTF4QdxXz8lEeU8oRQXVNdnpTyIKbHZ1MTLCbwmJNWkq68bw2thYGeN2DdJ3byK0IprzXIc/DQi9CMlfCZJRJLrJA7kIg7w5U89o1qNFFTIcmz8QFOk3KFf8TbVKKFWEQK9XLsJ+aJDX2him6lycD432STVCE+ujcSg4JWxCXFtEfjERJeocyRUy0iFKUIWlghLfeoLAKEFR5mNo2vknFRFlwUwI6KvIRH5IEGzdfKFhJqgrEUgxsCxDSLRTgWIreUoeAa+PYIsELE7JrOkv08ozHJ9W+pzRwR16fHbM/aMf/WoC2+NAl/9sXpfX2MP3v+goDY9Ppw7r96NJ8uuPy9CXF00kRsb1ev3nDhT70OT/+R9dYLu86TTm37z/M3QcPHaupDS3AlX7x5s7Bysb09jXHk4ga951Le/vj31frxGF1u9D0kEvuc73J6j68oQgU899s1vPL+twznyRMyrC3fPr3M4d1+Da65xPoZbbrOw10jmrc9V/f2NIqjsn+oq/NjH/2ru61Te5uU0zlEzRXc4ca7xucbtr7+2+fwSEfWv9qWhC69+3tWPe91pWt+fxr69+jGU4yCuU/n7cOd7/TwZjpIrx6mxB7J5G+r9k/XReEO/p6fvpT1erD63F4Pk+mKNf6Wg9ELmc3ev+U/s1/tHjsf5L7F5eLHP7xfNyffej72D3v5BRnQUqQzo7L/XBHb2Rzy8ZgkTxs0gH/ms2LEezdex83naCmBWCoR2VX2zL4TXLb29HLD3PJ5eu5wOs52YGpVyxoJ9ZnDXvfezaO4itqzaSCWqYBc9unv6GDu+jckjxnDfw0v4+qfO5KsXXkE5qzDYXaZ9VJEJbhv5kQUeWr0GR0iRWkZL4pDv8ujpG+RV+7yc25fej64XmTxuJA889iSBxOPE8ZQZHLnfQcwZXeSex5eydvM2xo+bwIodaykkOUYUc8SuzUF7zWb9qi08vHQZmpdS6PSY1jqKccURjJ4xDtMPefXbP6rm6RWvejlTx41n330XcOcDj2KZAZ2F8fSUN3HS0fvxi6vvGZIVXOlWsrj4ax/nPV//BrVuH72U8f3zzuCZp7bRMtHikt/+hS2b+5k2fjz7zZ+MryU8+tR63nzsEdx49+3092TkXI33vu8NJIxl9rx9ufzn3+Mt7/oQbzjjBC54y5ms37yCS265ldNOOYlXHPcePvHht3P0AfvR019GkmqeXmPt1oRPf+CNPHjLE7TPncmg5uPFVTYv2ckx7ziNr37ho+RMkzM+9GHO+Oj7OP3Vr2H7oE/vzm4qUrjeEuF328yZMIHUHMFBs2x+9Zfb2fvwY/jad76hnDBxIE4SES4cPvnet3L1n29RvUwzxk9kxKSRLFn2BNu2Jiya3cVD69ayV240Qd6ixW3loWefxYhqLNx7AS1drbzhhFfy00suJKjkmDtzGj+74Y+MGzeGHT09TBkxQcUvJ06YQMHR2Lqlj+1RiShN2NE7wGUX/YZXvfEopndNUC7GRTNmceziA/jh1b+n1XCoRAa1bID13dvUDawmd6YGvO6YI7j3iccUDXlcsZ1Nfj/9/TU6PYcPveUU/nDPMgY2r2TBpH1Yu+4xtkSD7OivqNiviMWHHTaPCdZYTv/o5/j8R89kzc5uDtx3Njt6AmZPmcJhC8ZxwY8vY96shTz97GP86MLfcdWdl7Ju+zO86cC30TVhJJ49huPfepSK7o2Zt5hKAEk1JqkJGTOTgjnVfZWK+03EIyHIisFPOe9EYBIXXkRmugTVITefovQqQIV02YlrTcjLCZHQXwOJXdqEqRBMTYwgJhGIRZxgOiZpGBOLi09capk4Am1FwtWVC06EFAngGpgSf5SbfSMlig0V1dXzRcysqmimIrhJXF9EShGfAtlWS4Q7IXxqVPxA9cup2LGIDdITqOuYaaY6wKSrLLZMnFSIu9LFJ8KcCGtiXI3BFUpAQhonZIalhA8RMcTNpiAT4gqUPkFF9RWAg44uzkSJlGYCqjBVF2GSGGgSMY5FCBWpzRxyISYxbsEiESpunCMRUmySKqK19MPJhiSyTOlJVP+nqQhvZqSqS1IgNqkWEgc6pqmruY1DnUTXyWllYim6k3SuiIJ+oMAUAq+QXjdZt+cZhLGpovZRJN2O4gaUKgQhHg+542Teopp0HgpFWgjj4vaTn2MFl7AVnVfizgwReXPyegNTCUSm6u0zc9LdNkQ/FrSIxKRTN0WrDBGExSWpuZ76fBP0i7gHRbgSemrO1gmlKy/JCE0RYXUi3aJAhVho0AIsCWMscfCJozEQ9LCvrnvE2SVCoemqzjgRkqT5QUQm2R67mMcfLKsYsATQ9SxS55AtcypfUKljK0Rgi1qlhmbmyFsoN5q0HUoEXMAl0hMplQ+OYSmHbhxV0Exx5yktGVPizNIn6HpEkYORCEE3U3Fyy3VJZR+Ehiw6tR9KHR6FDp04sgh8Hc8cJLFzChATiRuwaJBGNqYZKlqzKLexwFLiFKvooSXS0ycnjPRIWmQS9Y4FTiLAGkvFoXWziFUQQSzBEnejfLlWiknFuVlOhiK2Zqwckwp9ofoaU2wjG+pBTISSrJFI16z8QpARBxhtowl6doKnYQnNV+ZB3HvS85iFuNLFF+pYnkUlMsnFA5j5gnIgKqG7OqjkR4Gt1EITx6piGuIiDjDyBfyyfBFiEwUSA88r2rA4FOXbCt0VgEpMpqdcfPElL8Y/X/aMPeMfHp/9yv3P02mbXXgiZNWfG66brfH5XdF3h4ujNtJtG51adXqtCI7D9QDuahuaBSEZw/WfNceJG5+X0ezOa45RNnYBNu9zfdmN29dIn6273Bp72/5eOm5zD+ELebw5grsrkMeu3r+rMZwo9bf2Z1fOuOEIt8O5OIcbdXG08VzaXd/j7tx99VE/jsPNx3DE5uG2vf6Y2u8XMKf15dbpzXvGnvGf5EZ7KfTjvRS24cUY5zeQ3f9dHYP/dCff4onz0DKPkp/S1eWyfn0Pc2bModDu4le2MBj10WG6tLUVmTCyg4FYitF1BipSgu8zoG6O2li2diVaaLDD346nmZxy5HzmTB6loqdTxnYSWilWG+zVOY5rrvgFyY6EedNmYZgajzywlO99/gyk4mqfuXNoa29nW5iweXsvEwqTKfsxI62iukkf1dHFQDmkY6zF2NYOEjfmoScfp73DJd9l84HTv8khcxawed0WLr/jdg48ZH+mzZ7Bzv4djCt0kO8qUKrF7Ny+Q8WSH9m6iiwvNEqDs45+PbXBoYjr60/+AC3FDj79oQ/y9NbVjO9y2D7Yz5133E93304mdkxm6cZVuK1F7nlkG7bmDJEkczpBlPDG089Rooh0bImr5cs/uopj3/RepnbNpNQbU/UD8obGAfscyXtOP48fffdSrrv+HlZv7eaAhZOV8/Hue57gxit+x1tPeRWTZw19MzrGHMHKTau56KYbyRyDg+csVFHdA47ehy1btvPgw09RK8ec8v5zec2rD+epFavITx7FzIV78+gND3HdNfdw+Cv25dmbrxJOK+9676l888tfpDeqct8Tj9DTvZ2jjjiElx+2P8ufWcNDzzzOoftPxWz3Wd9XYfyE6Xzzu99UN7SpmSnio+GYJGmsCu4tw6HYWWDExDFkvsb+U/bj8IMX0jF2FAsmTOWxvm2MHTmOx1avp2NkKy2FTlYtX8+apRv43ne+TzlImTxxPM889SjHHXY4B86cyaS2iUybMpEF06fw+NNP09fbT2tLxspVa9h71Gi+++HzedcZp3DUvovoTqvMGjeRMS0eP/njlfzogs/yzKZ1rOhexcFz9lIdcB1enpGj25Xoce/DTypxY7C/zLodOyn31hg3qY0KKd//+R9YPK6DMS05DCuhbMa8bP6BGK7O+486iY+86lV0ZCPBiLjwwi/SPm0yY0a0EtZcJUhN75jHp37yBxaMncrW7duw7SLb1jzFyUe/k833dvOJc89l+0Pd6rhO7RjHtFGTecfUNgWxUIKUoaNpInBrKqkqfyqqrHLKSRhVRqi61hJdRLWMnBLmNOXyEt0uU5TaqnK3JaL0xBJPFedejC1ikbhuDBH0dEX7lP496eeyTSnmFyFFesxEFBMjXoLtSIefqYAWoUAHUun9E2GtosAQVlxWsVJLwB2WRaC7ylEVGx629AEmOqkfU1ZipIiEgsWQCr8hF56AGUIRKWsVJb5ogcg1Q5E/EQj9IFPCpFj/xAUn0AkRCSViKB1zoqkIFdTMxG1nqChyLidzJsAAcTUO9f4ptxgRfiThWh3dF1JtDT0Th16EK8AKU2LDImyayumbhCmuHBOxVxoGqeMqWIFy9Wm2pFlJRWzMpHvNU2RYXZyN4vjToVKVyGJGElTwQ4k019AMi6RSwjJsQfuSRVXhQhBlBtXEVO63MCxjCfXYFkqFgDKEOgxBNUEXeIQuPW4ZQRJi+EJz1YjTHLKLcjwtVzoIBcZiKsHRS6ukmcx9QGpkhLGrhE1P5jUVaSiEklCR5di76EYeXRxjQif2IQkj1d8mgBL8KqbEtiXyLClgS6jEkNi2ckSGNY1aaKvuv6CSYoRl5SYUkqxAXRItr3oMDS2lFoozToAOokim1AZLSrzVxIEoEW3HwwqqoBx0lloXSkwWnm9CzkqILRe96GIWbeVgS+S8E5uoxJvFSRr56GYBsgDTkA48n6pQpDOTLAxoMyvolujqHrmuPJpEtEW4rIlomhCFGV5+SOCTDkSn4AyJkFGkorLSRWfpBgUnJidCMAmhxNAFTIJBGkaUJR7sSmmkrfo1g9RW55oIqZZsl+WSM2sElYioFhAkIiYKFTgkqAVYuRir0yYy8rS6McVWHceS/kVx/gb4qTg1A/xqGcNsR307YNpI0V4wMIju2BiBpq4/J5dTNGtdYr+RpYLmmukhKVwrqykxVZyfZBYFq6ZESDmXZRudogP2SITW4hWKaIr2bKsKCHFWy7aL4Gs8d61kUagckmEq196esWf8a8e8rgd3+Vyj+FcXwBodbI3PN7rsGiOkjWJdXeSpu5qat0PW0exMqJN66+9rJPc2RnrlvXUSb2NPX33b669vdGLVt6vx+V0N2a66e6u+PfL3xvmoD3m+ed2NDrfdRTKbRSjpQvwrR17zfD5H4FVCY1PPXqNrbFeCkzxep+z+DyGwwTHZ+Pg/6jobzhn3V1Hrpm173v3WJBI3k3bl3Kk7RhupvI2va97mZgJv3eFXF/jEzTdc9LYu1jaSgIfb9l093nhMGrep7vZ7McmUe8ae8WKMv8cttivx6KUgrr0UtuHFGOc853z/37z/38EV+KKKfPcse4TxI0fQ31PhsMWLWL99C1fe9Hvakg7VCzY+N5aXLTpMGIQ8s3odYZ/PvAXTGDu6DafFpc3Kk7drzJ84mcXzJqmo3paBElfeuIQ7736Qh+9aogSCLLI4ZPrBbA56uOV3f+Cnv/giDzzwJJPb2/njww/wu5sepMM0OeWkl7NxWzd+EuC2FShp2zhy3t4cdMAB9CdVtm7v5uBFM9k37GHppk2Ud/QpKubcBXsze/wMtq65mpnzpnD4oinstf9iTn7DO9nas1F1BuY0j1EjWqkmZU45/mgmjZqE1+oidy12i8V3bvwDi2aM5uZnlvHO/3oL88dP5Cvf+z43/OCbjGmbwsTpUxUgIu+ZqitqdEuOdau3s27rGtJqlfzUTnKVhFzeI8hLF9rQDbbu6Gzo71Pzva57M9t6ekhrCY+uXctVV17Hl8/9BJW7LiR2Qtq9ETy6ZgPzZk3n6Fe/BWdai3IoPXDDk+r9EgueN3Mi7zvmOCa2j6B7W686HZY8tpY3nnIsH37fm9k6sINLL/omUyZMYq9Dj6ZilVl2/53sd8h09j1wMatW9DGo+4wbM5Id2zZx9gUX8Yvzvs0Rhx7G+//rHKbPm4E/WOHEl7+GvSZPZ2l3P061xoGHLyIJhEgKmg1TxkxFi7QhYcXMqMUhy7dvYOaoiWzbthW/UuWqO28iiioU9JRyEnLCoQfw9MpVtOuZimN7XSadI21OOfkwjj7qZUweOYWdA/0s2bSVlWvWsnLDACNHdpDUEjrbR/GKw/YjV8wThiZvfdVrWLljK921TUwfN1I551pCkze/8gSKXe1KMDjnv7/Fdb+/mfkjxrB84zrec9LxJGbMyxcdzORpI9hn0SR29pYY0zWB4w7Ym29/4lN0b+ynxbbwfZ9rH7yD1/zXGZz5ybP5yUW/x3JDkoGM9dt6sUa7VEt9FCZ0ctZbP8ZEJ89xs/ZlsLSJ8toNJGOrvO6Aw3nf6e+jv1JisM9n9Kyhf9x854eX8ptf/4nJh+6tfpb494KZ0/jKNbcpiqmZM7E9G6mzEwCDCGm6CHfST0akXF8SabQMS8UNCSUenBJrDrqINWKJMjIldgk0IU2GxCzpaZMorliYBGoi4p+eJiqql8U15DY/iULVc+ZHOpEIhqK+S7efK3AAg1Bz1fpN6YuLQrQkGlqu5HVFTDA8kqiGbRuYscRKxbQUkYjjU6i0WoLripCT4Ir7zrCUQ01zhIwqr9XQPEuJko4tscpYQSt8gWDkciQSgUW6B8X5lqneMBHTxbFkSY9cLBFCodhKhDaips7RCNtLsWU70gAjHuo11LQILQ2wvQQ75xFLvDO0iAQqkPhE0vOYSPdYVYn2IuDLFwISh5a4Kom46wReIBCRoR7ExGghi8R5mFP6ihCehS5qGZmKU3teDs2zCZMcml5TdOQwC5TbMlHxaVNRiEW8FPHczjwFDTEE1JDqaCLWBAKAsKmm+nPnRE31HBqORJ5ttLyGHus4ObHbZsrBKE5YuX6reh5NliOiaJwpsUcEOaEi6/J+IUvYeTx7SDiWdYsglQ6WycQpKMFiL6/cX+LyyjQDN9dCWBMqbEA+J2JaoNylaRpRKEj0OcWw5NjrxDKXpsSsxV0qgqj49BIkGCyOtyAR0Xio11AAMZpXGBKy5fwtdkiKVTkKBUQjcWwRjsU1mInIJJUDfoJV88lSW52P0mUn57J8KRW6HlpUI4st/EqkSL+uxMB1j2rg0D0QEJRDDGoMDOgkZXHSVXHzHkkpxfM0KlV/qHNxcABX95Vz0LQd+mspabENM06pxDqx5WA5hhJb5f+Jq1Go17phq8tE86uqW1GvVgiEYq7FRE6rgmcEiQh2MgdSsClRfTkPHSWY65pFWo7JF2MGzTzV/oywJCAU+VVmYFTKGEZEoU3gNIPq3FOMbem5zAIl3st8+5lBpRaTShefkaOQkxi4RG1FqBwS+NM0J55JygIgCTP1xYCeayUJYrJqmbhWQrNyVMs1fD+mo8skScRJKedGDkuP0XMtUKsSRBLXjpQovmfsGf/qUe+/axSumim6jWJaXdhrFrcaX9cYSR3u+cZRF2YUxOG55xtFskbRpi5sNf4s21MXIJsprbuCRjQ7verCTn2/67HN5n0QV5mMxjizuA+bXXzyZ6OIJO6sxjkVd5881hynbRQc60P2abhIsorM7kbYa3y8Wbxrfq2sox7BbQRqyPLrN37DOdXq89E4/pYA2Nyn90IEsL/a5ob3P38eNJw7uzrH6q+tx2cbBd/6sWt8XfbKbw0tu0mUfKFOx8ZroL5f0sHYHIl+Pqb93HbvrtNvz3jpjZdS/Pb/avyrXV//qePvFdUO2sW5tqvl/L1fGLwUj/OLFtf9zDnvY93mbhXfO+P1R3H5tXeyraeXeROmsHl7D3svmsNDjz9Fz0BZdUxNau0i8TS2bdyJ1qpjpBodQvHLaeoGdNy4aUwZl4NA53d33cmMzpFs2NlPzvAom1WswOCg/fZnZFHjipvuYuSINkq9ZVpGt6r41fwxc8kVY5Zs38xIdB7etJ42P8crTjqUB+59Qqwp7BC6pRkwxiny9JYtnLj/PH5/19PqJmpySxeFVnH5uFSikK6cyfgZ07j1nscYO2YkDMK7zziRn196NbNnz+Daa27GGiuk2ZDUtejIcpiR3IxllNIaB8yYS+LavGKf+Xzyxxfxwde8ia72IgcefRw3XHsDve54/nzVN6jGETndohxV0ctSGG8QeAldlk1NH6J9OlVbxZqK7R20tE3Dy29j86Z+3nnS4ZQqCRdffzVH7b+AqaPm8eo3ns5ll3+PoFLjtPd8ip9c8N+sru5g/1nzufXJW6j01iiR8o2zPsnUCe30h7186us/Yp/xU9h7xiTue2QJ+xzyMia1wuad25i1YB8s06TaPYqd7nriwT5+cu0fuPALn+Gem5+kvbWFeYsPgayHHTu6uejyKxjldHHv8ic5eOG+vO99Z3P3zdcwLQfv+Pq3MV1LFf9jQUsxT6lU5o1HHUbf1jyf+dKn+MkPv82Stcso2iHrN1eo1GocdtQ+DKzoZYO/hZmFiezUq6qfKSiVGFXM8ZlvfoXvf+WbLH92Pe2jW4j9GgODIYvnzOW+pU+w74y92D7QQzIwyLQFs9TN8COPPoPr6Zx13se47sdXceDcueyoVrnntntUKfy8V7ycG2+4mmNmL2LArPG2Aw/hnEt/wcLFixntFnlq2dMU21q5fcky7JzJsfsewfpNgzyz+iEcTPKtea64+E+c8raTyOyI8S1j2VTrpSM3lq9/4lSefmAZty19gIP2PZGHl9+N1z+SzvlFLv/db/jwO9/E9y/7Hce/+uVYfa1UBpaxZWvI17/3I055y3E4lsMvL/0pvz//KjZXN3DdygcoyM329Ckkep4sSYYInSriJsHYIWqu0u8MQ0EKhGYqXW0iDilLk/TtSV+alOJbFnpQIxVFNh0CUyhwgxKKYvTEI0595RoU5Vacc0r8M6FWExRnjCPRWmmviwRUYKjnxCnoaDqB9HsJ1CCqKHedtOEZ+lAbnpB2rSRQwqIqEhQXlWy7xIZ1afgTJ6K8Xxx4MZZpK0Eu1iRubxIZ4jZMMcXlpWuqg81xNXXMVTZW3HHS2ScRVxH9JDsuzkUR1sXRpDR2iaAKXdckCSuY+TxxGCjxQs80JeBZhjlEgNVDQt3FTIe6EBVd2EiVE84UF1+QKtdWFD0nmUhkWcAnEh/OfEWdTUU8ErprPiWpCnQgw3FyqrNMXIxJFJE6FmnoS8BSxbA1U+KmIqaISCvCjoi50pUq7juZd9FIJUYs+x5g2KZyBoKInVViiXS7pnJYCVU2ETtdFKr5F3CLxJ/FmWmIWCk9d7E4uESYHBLnpS+tJtTaQo6oXFZABcOwlcikZyaxL+dHgu60YRhD8IVKKcAzIiX0aXKMReQXMcfwiELpFUwxXXFsStxXI7Y9HL1CEAtUoobniOtZzpUIx00Jy7EiPIdpRl4dYzmHLRXFdyyJF4fEfkKsmeSkJy+11byLC9KQLkfpeNSH4CSGGRD2CohG3JuQVkIlfIapja1nyilctKvEpkstsHEyAVQYCj4hoAiJbxdbTNGk8EMRjYX2q2O2mYp4nWQWrisiqEZSy0hLPqadqG7HcnnonM7CKknRFeCy+qLBD31c6dVs6aBareA5IjTbZLFB0dOpaRmG7LPMuXBS5HdQMoCu2/ihTsHNqOk57LREkBjYAsJp8dBDESArVNICtp1hGym+dGBaHprj4otrzxOhLYeV84l6+9EdoeS2kDoJTiTQkZ0YxbwS2cURXossCm5CWBogtlqUUB8LUEQTN2cJy3KxbR0/k+vmOfFe4BqGfK+Q4rS1EUh/oUTlDXHIZwo0Y7od6NoAlcEAQy9w2S/3RLP2jJcOXbdRzGuMPdZFLBmNPzdHZxuXMdxyxDEmfXiNTrtmUasRWiEurUaqb30M1wvYCET4e6ATIrxs2tjgVtsF1EOEGhFgmoVDuTGq9xnWh8yNiHgi5snr66+pO/gaY7+NdNV/lMxbF5Hqgu1wtNzmDr7dUXn/SiDcDXyiPnZHkG18T6M4K0655uP6Qvb173luV6LucHHeZphKfR8bYRnNEJDm+W2ct3q8e7h11c8lGfXn6teGjD2R3T1jz/jHY6cvhTjqizHO/w/Zj5cEXffjH/4QA9F20sQm0GtMbG1n3pwZXPvww0xqmUD3wHbCsEar7fJsTzeaYdDRmledR0ma8Jr9D+WhtUvo7u5XpM9J+RGcfvJr2bJuHT+86WbiQG7iqgoQEdkJ80aOw9I7uevpB5QTJO6LGDd+PO0djhIe+gYH+eWFf+Av113Fbbfdyto1G6g5OiNbXfoHfBJXo92y2f+gBTzz0EqmThnHkvVb2LxpO52tneyo7uDUk19D35aEv9x9E+NGjGDy2E4efWYJIzs70Fsc5X6T+N3eU+bzxBNPkZ/fjjGooYuLoRazrb+bBePHkG9rZ/v6PgbCQQ5bvB/XP34f+0+cyxPrn8FyPV698FCe3ryWeftM4ol7n+Xp7s3k2nN8+N0f5Z6r/sQRB0xj6l7zOe2cLzJrzHQyJ6Bv6yCdoz3WbexmdHEk/dFOuoqtbKz1Q79EkPOU/UEu++V1oO0EOvnmeR9HzyW0FTpJdtS4ZdsSarUaLZqJbTgERsSX33sm3/75z/nWd7/O+876GJXEp72loMTZiSNHsaF7K7/+4hd4auUqWt0xfEmcfjMOoLrtGc45+2wuvfxK7nv8KS79+U9IKj3cev2NCEryz1fcTltXB/1RhVmzZpAnz7WP3sFAWYgAEiFL0cIhiMBhC/emIi4YO2HunNmsXbkWu1Vux1uYM38661avZeOaQcbO7KKvfztWNUdPXy+dnTnS/gozFiwgEIBBNebGR+4mpxw2hsKK7LNwFpkfUbBdKkmVqKyxatNq2vQ8Rx97DL+5/k/MHzmZCePaeWzlGkaMG8u9Sx6l3ZvM7EkFKn0+XW3tLJw3jmtve5jRkzr4xMe/xLobb2FFt8HDy28lKRhYXgfR9uVMXXwAN179JzaXqqrjcd6iSXz2C19hxW0Pc8sff8P9WzbzhY98gIo9SLjN5ba7HqJ1DOw1ehYr1q7ixhVPKLvt/BHiFBzgvZ8+mbv/spojZs9h7KH7cOVXvsPbPvkFRrRs5WMf/Taf+fCZnPKBs+jq6qBr3EQGcIditxLnG6xgCK1U6KWG9MEZZIbY1TJFYk1DibyK2066+GJMw0ZLY6JMXF7SITfUB6bXe/0UjCJTYlBme8pdpgAVItiJCOdYqkvLMowhF5t0ikkXnVBTJRop1FvVjZdgZDF+YuLoIiAGpLaIF+L2EpElkYI0NMuhFmXkNZ/YEuKpSRRHKr4o5NZEaAdCmpUeMXG9CUBCFBJbyKI6iThtoxK+YWAKOVeJIQZpJgJkjB7HqqdOABhx1ccRh6JESKUzTzoJ4wg35+KLwCmxXd/HcTSCirjtDBUDFiCJAGSlcy21nCH6sAinAlrJIryCRbVmYqYCErEUXCOuJENCmadkUEXlFUiIJb1mEoc05XhJLFcnEneZCF8iTIqz0BF785CbUgt9ksTGrwYKrCAil4h6qcRvBb+QM/EDUxGDHc8kCSQ2bStAjziQhf4rFkghFAtgIfJNyVpKWli5MlWvYCCiXqDOH0eAHYH0rhlUKj624yjiMOKqFCCHRKFVXBkcKyatZvg5T/UgGqaltjeKTExPnF8oGE0QRjgFHa2mU/MHVZQ2MT1ccaBKXDYICcXJaWREupyfAkCR2KpNUqlgGSllX5bpoInjULoKa4NY7SPQlNKpkdUqKtKa6Q562EeUOmp+ZZsMKuocko5K3dWpDYQU2xzCcojekiOp+AoE4Q8OqvNYhMHINsmEGqtoszZ6Ks+56thqkYi38RBh2orVcRbHInYRO+5XxGYzMEjMhMjrwKgOqliv02JQCxMl6vlBSKuV4IcmwnpW5GcnT1rpAauoHHW2FeNXQuUgzdkJ1bgFIxlUxzOzXeJaogAb4kqtDJYptnn4tQwrb6HFGaGIhyJyynUahEpsE4E10SxKfRm5NhGYbYLKoPrccLyMWBkghbjcSqFo0belh0RgK6amovZOXoAa0geakHkF9CylMhBie8ZQhYBQrDOTQNywtRTNE5hPrKK5+ZxDmjOgXBvqvozKZIVRas4kqhxHMZrXws9/ctGL8c+XPWPP+F+LfLvr1JMxHCW3/niz80/9+bGP87LocuWIaoxA1oWdxg6yRidC8zaIMCZiWV1IGi5a2yhCymgUEZv/Xu/+qws6w4l8je+T54VA3ChW7oquu7vH6+LjcD2GMmRu6gLo7jrl6vvbPBrnvVEwrAtqchzqHXO7o/n+LdLvcPNdHy+kY/CFCpmNou3fmo/drUvOn8bzq3H/GoXO4fa5UcxsXH+zWN04Gudf/fx3iLZ7evn2jP/XxKH/y568/5QOvhfruL+Q8+Kfde7800W+T5z9QUw/ZV24jYVTptLTF7Nxy3pFoRw/ZgxbdmynhE/sp8pplzMNEld65nSCWsxhi/bh3qcepyt1CWsxYyaPoru7l8P22YfrH72XiXY726qDUiiGntPp6y0p109Uipgydxzr1m/B7XQpbahiGwYjR7TTG5f43JvfzcP3PcP6/pVU/RqJKURKk5U7+sgZGS2uS0WDnb39LJq5NxOzlD+seIqWYht+/yD7L17MfrNn8Mfb7uC1xxzK9Xfey7KVm3AckwkjO9lcLjF21CgGB3YysNMn8zRaNBtHg5FjRrN5x0ZyXgsd5iiMbJDHt6wboozaOjNbR+N6RbbWNnPorP249bHHGD1iNOvWbqQtr7Nw5jxmTB7Hxm2buf2epbgjoHtHiXkzF2DgU8LFrnYTex5j3Bz7LdqL719xBa5e5MD9Z6my9LUrejhywd64OXhkVQ+rtz7JuJaRTBk/EkyH7tJmvGI7HzrlneS72kB32bjkKVUy72Qpz2xawZonNnD864/khjvXkQ2uIFfIsXzJGhIiQl0nsyeQ9a/ilUcdzdV33YUtkc0Uzjn7XD7xubPBTeiPIxaOmkepXCWqlJkydQJbtu3kEelgfI6Sqkcp3qgCR01bhGtE3LdqOXvPnIrrtLN02SpKwSCJbvH2V5zIvQ8+SPuEEfSG/Wg7Q8ZOGM369atVkbs4cfaeMIu+bIBHH1hKS96kp7/E6NbRCpgxfcoktvTvpFwaYL+Fc1i2cg1fPON87l5yPU8sXUOLXmSf+ZNYMG8BF//sJ2xNM1ozHW/MKBWXq/VsYdH+B3Pv9XexMxzgk5/8MHfc8hS9W5cxYtxkJkwZzcWX/Iobrr+N97z3dUwbP5f+pJvuHXLTHXPJD3/Ouz50Jj//3q847lUvp71g0YnO+8/4KH+6/XoOnH0gF//pMhYumsXGVVsYN3UO5dIGLviy3NAa/OiH3+Z9Z36EV7/taMwYfvvZr3HhbX9k0rRR/OZ3f2HcmClsWb+FtJDgjZuhYtjSMxeLniruryBQ0U4Jw4kgJuAASxrtdE2BGTQRvcS0F6WKOqsjYpWsWQQ16eqTxwTSIbjTVHVticNMHHYStRUSqshm4giUzkXp+9NDDV1oBiJyODpJJcDRU+WMEhFCnHaZxAwlvmo4JIHEUU2iICBz8iq2KVHL1DBx45BAoriyFukX9AwlWEl3oPzsKwEsUJ1oEkGVeKbYhaJqDccQOc8aEq+E/aG+ZtClMEx1osmtgwgcQv6U/Zf+tJxnQ7VCbEvv25BoJ+KGTIq4xsT6Z4jrTCigCtgTPieYiUhiKOFJ5iNNBWShsr2KAGxmIWEs/YYJhiMOxADdsZSLTSjArrjuDOknGxIIYy3GxFURSUU0lp4ymUs/xhXwh24SS9xYBEM0arHQU0NF7jXEdSlutkiOg0EaJENRbNkmHFI9VrRbmTMt5xL2DWLZDrXYwLEiRXkV4dJ0RLTSCAWGYnpkmXQwSn+fiIuyHRFxoCmoiCiLAk/Q0yqRQEO8PNXIp9UOCQKdRHKhgm21XMzEVwAG0xRyr44f6+SzQDkWhVCh6Q6Wa1D2RbgUb6zEuyXvL0KijRH2EonAZEks2FACaSj040CObqgi3EEsrrOKioVKFD2uiVtNxLcCQRiq8y31K8RC8BWxNdaG4sCZdGmKsy7BtuSa0Nm5IybfaqjuRxHqlNCqWUqA1F0LNw2pVnwFSknMFvV+dS34NQyvoFx6tiN7YSl3YoJLrVyl2FGgVo7wZD8STblJQ+mvzVn4UYSZ2USpuGcjJZD5qZz30iVpqmi+aPa+IedpSM4RgEdMLL2OBArAY4tzUI5Zrqi2JVbIYg0vHKRst2FLz2KUqb5DPRqkEtvk8zni2FcOyzT20RwDqxLiqy8KNOSXSzYwgJ738OQ8lS8HRPgUwI5yFlaUCzAMI2zpIZS+xiBUQrG0BcgcC9zF1QPlTNQEdKK5VCSGLB880omoS0RXehANfD/DFYdhnHD5pXtEvj3jXzueJ7w+J76IgFGPKjaLRPVRj+o2RnfrbqcXAqWQUYdvNII9ZNTFwDuttzwvvDQLf43LrzvI6sJLs6useRvq66hvt6x/OPFwOHdj/b3NQmhd3BvOzVZ38TU+V3eC1f9sXP5wri+Zh78ldL0Qca55NMNEhhMKG+dgd24+6UOsC7gvBMDSuO+7Go3HdzjB9u91PjZv/3DzOdzjsq11+Ed9u3cFaxluNAuL4rjcnfOxLk7uGXvGnvG3x/9rYt6/2xhOOPyni3w33nAJP/7d1XR4rvTQs3jRAp5atpy8XlBF7tJftKLaT4vnUKoO3SxqwVCRvES+gjCgUMxRsE0GU1/FCSVu985Dj+KXN95Km2NS0lIGB2rqW3yJOZnoDG4JVByvfVqBI2buy4PLHqdChBUaLNxrHvc/8Ci6ZzK3o0jiFth//myuffQxFowYx9rtG/EKnazdsJFWr4We8k5k0acefwSX3X0vcyeMZEN3PwPVCgcv3J/1m1Ywr300ty59Fs+x2H//xTx0zyOMGlOkNKgzfmwbK3ZsYeqoUazdvp39x05ke1+JzTt3KBKlOFwG/AqauH08lySqMn/udJatX8fsSfuxcd3TDNRqTBzRTmCkvPnY4zGClIkTJ/LAk4+xeuMmHly2lL1nzGJDeQtTWsZLbRnhQEBv1kdfn49U+I1um8IOdmJFFrVokHPO+TZ+ZSML57yM+264gptvfpBDjpzPvXffx9PbN9NqurR2FvjWVy6ArMzKJzYxtkUIpSa+xIILLWSmp268W4s6QSkg0hxSK1DHorIzoBrE7Ix3UhsMWLNhA5u7t7BmzWbGtLaycvtOqlHIKQccQ8/OLYwc1U776Dl871c/pq1YpJzW1M2oiBlOh82xCxewc2eNSVPG4hg6G3bsYMzRR7H6d9ewctNGXn/ssdz3wIO02zbTFkyl3Wrn3qeX0jcwwLw50+lyC8rl8dCqhzlg5l6sXbeGrvaxDPSXMAoWEzrGkpo1SomNowfs2NSjRJfS9hrbaxuYNX0WWQnu2/w0B+41l9XPbGD+7Dl0b+vhsP3H8eDqGLuzzH23P85Bs/fnvz79OR747XfY4rZSqZSo9ZZZsmkl3z37W3zsC2czotVgTW8/UzrGM3/SSJ5eu0XFD/fZa3/uf/ZpBjduI5c3mTZ5EoFpY8RVHlqxjL0PXcSiEQv5/R8uo31sOycdcBC//fNdzJ21gCTZymU330yuJcfvP/lbKPbAhOlc/LMvUxjweGTTcqq92zli4VQeHJR0uQh90pc35NYJ+ivK6SX6hPL2hT45S+Jz0hMXKaFPly41ce1JMjeOVZecOE8lMCtACwkVisAhcck0TBXcQLFttSJJ6ivxQUAKqbjPNBGTpMtP9BC5iRcHn0BXRPjL0OJQiVeWYxMH0VA0OK4RmQ6ObhAJrEPAD2mMKYKdkG6lx05cSkLVTaWrTvrZhuJ9qZrHWDnwxD4lTYLi9orktbVIHe8sk5imUHpFlJbOPomODrmyMkdkMl2JlvpzsVsRHCQgHAhIQnfJJT7VOEG3bSW4SN+hFPlJf5oh7xEQh0R0ExH6hsTTOAlV3xmJkGk1wopY2GwMmRMzUlTWJBG4hYiPEmWUXr2YONUQrTHwpVcwQssJeVWC18LZ0IeIqypWLMRUiVzr+H5IMW9RCwIFvUiUSJiqfReXmyxfnHfypYiILELW1V3pW5MuQV91lOqx0HozBfgQjmyiqLsaqWWSBhIXTbBsXR0fT1x6UY1Ql/MgVA7dNPNwPF0dF0sgqb0xmfT1ReKi1NE9i6jiY0kUNtZwdFv1+yVpFc12levWKeaJlCCXYWviNRUIh3ToQWebRdkXgEcCTg5diNG6CGrye0H2xyOSqLn0BEouVLkeXcJKghX3kukueq6ImdTwhRAsDtKaxJAzBXmQ9yimcuYrB1vOtaikFmGQYmZy3g3i2J6CrMiyJJat5HPTISvVyAk927DUvIg4KrKyRLoj3SOuSgdlguuJqzElzoYALp5pqeNgaTp+OVQ1Ar7uoAl12mohJMJFICMSY3cJsoTWAgpOEop2WwsJsCi0eKS1PiV6yu9Wib+6LS0KriPiZCROQdekoreQ73Cpbe1T+yqCqSbAG4lXawJDyZOkIY6IulqsOhb7q+JY91XcXRySWsFRzlm5zgl8aCsQ9VWEIEPeiaTpEZ0cfiKfHtDqBSRa25BLtuqjKVq2/G7xMXOtShh0DYnLa8QiFCpij5xr0isZS2kkehZw6c8vfjH++bJn7BkvSlx3V3CEXY1G8a/RoVZfznBx37oYVo8k1km6zULZcKJXs2BUp6+KM6/+2vq217encX8aI8f19dUFyuHmoHE765Tc+mh29jWuvzFCWxd3diVM1QWk4eLPuyL9Ni6v8bnhorfN44UIgY3z23wM6utuHn9L7PpH3XgvZDRHuocT/xrn73+7LX+voDrcsZOhQDK7Wda/ixvr/5UhnWj3dw3BH/eMPeM/hTr8t8b/hbvvn07XrZRiFcGslQ0G9JC77nmSER3t9A72KffGvPmzyEvRu5HhtFhotga5DAowppBn+qhOJTJMdFqYZbTRqeXlno6nVm1SnT0VP1FxpM68R1tXHsux1I1Ba9HhFUcspH9NhSeXL+Pwvffj+Fmz8UbadG/ZSmJmilI498B9mJrprOuucfkPfsOYUS5hDOvWriHUY7r7diifUqanXHLDraRaSlfbSCIj5uLv/ZRHn3iY1qyFuzasgqJOIW/wwL1L0D2D9Rt78amwo3snejVh6ZNr6XTGE2GyatM23vn6VzGiq0ioi3NGSt8zYqsGjsHWnp3qBm9S0aSlI49dsLHEmWd3csJrT2fZug089PjdjOkYRUvB46gDF7N04wZO2mtfzjv70zy5YhWLZswkGEjJOUVct0hm1uh0u9CSGNfs5MJvfJU//urPvP/9b+bg495MqAVs2dhLx4i9MHQLO+fwlY99Giouy5Zvo1weYOWmkK3bqgS+w8q13Tz+4DM8dt8j/OnKu/nFr2/ky1/5MWd//Ht87rMXcf2N99BWyLFx7RZyhsWKpc8q0eNNr3gVxx/yMv74qxt41ytfTZD4HPXaAzn1g18gjXvZd94sTn/lUXz5g6fxzlcdxZj2NhXpemrHWg7ff1/Wrt1Obsw0Pnr6B9j8p9tpa2tjlONQqg1w7PHHs/iA/cinLVxx003k2mz2njub0s5+WtpdFo4Zw36z9uH+Z5/i5sef4vrl97Oq3M8dT93PYG0Dd97xMNs2rmHnzkE8w2P9unX0uQPk5rbQvaGbgWiQKcUir3vZaVhFk807+5gxcxa3PriaA6aNZH5+H95w5Mls6H6Wz3zmQ3z1+pu4/+Z7eXbNGp5Y/iRbNm7lHR88jY6OkHBEF9PHdNBb2URbW5712zfy+IrlXHnTn9i4YTWPrFnC6LzGrU88zu3X38KVN9/GovaF9Dy6gZ/8/KcU2tqYPvcQ5r/sDazdvJUFBy/mspvvYM7CKbzu5a+FuW08vb1fXYc33HQnj255mlU719KtB/z0zkf51ruOZHHcR7sZYVoJrXaK2WareKHcL0sXltx5x0KvDIeieokuIhBKIBCwgtyAyxUuvVqaOIo0Q/W0iQQicWCJPmqmpQAbRlpR1F1DIoBJrGAc4q4UMUz6zxxxN8md/nPPa6k42jQMx1FxXqFF6OJOsmyENSDamYqdapaK09YEupBI5M8hzEwlkImDT5xPIk5IjjAVCmuqSyGaAtekAmIQd11sYDsuphLEMiXs1UIRDFMVNZY4amrZpGGmgA56GqprVm69pK8u0h3VOyqOtcCWXjLpsJPIaKbcdJatYWgmmZFhiTOxOtQnZ1mOEsviSJxTGYY8J/18RVu56nQFCrWwzBjX1ZTzzNEzTD1QgAoRTGUTDQVhcDFD+ZIjVV1lujgvE4k52qrfT8RGEUbcvIhOAj9xVC+jYwspOBvqTIw03Jy8Vld069QUfVKQpWLAjFTHYRYPKvFQYBOaNbT8oJYgcixxBTNnkWsRJ52hwA8i9Mlnqi7AhFDous4Q2MISwTMl6h9U69GdnIovm15u6Hyxc0Q1h5wlvYMSxdbQXYF6ROiuTayFChYjVRBxaJOklooGu6Y+JJQFGpEp/XM1jKSKLi7MzFKxWHHrGQIo0QxFRZZvoHQRMFMBceTAa0GLfeHNYDo2nmdhtORJcjnMLBoSuuV8yhx1XUifX1ytYiaDYiLE9tqITBE8Q+JapCK84t7UqmW1/DQsQW0Q07GwjRpOMoghzrosw3OEkuwogq1U2Yng7hYtTM8l1XL4VWnIlPOzqgS1yCwoJ2lOE9epTZBZBEGArXv4FZc4TIhjF6e1lc5WC8sWf24e3fKoVEJsV0j3QsIW16x8RSb6uoabDVLt3kFm2mR6TGi0DsX09VZqtQKRUHuzHFkQEFV19UWOoQvAI8C1DDHAqt5IW5x/gwlhZpBWpQfRQPMk7u6SJRY44lfUFZ257BfIkppyEhtFQ8WIxd1ptrZheCZkOSrVUIFpPM/FK1oqolzLZI5jOnNCzZaTds/YM14a468EpQZIxu6Em0Z3XzMFtT4aHU+NYAoRzeTmoe5YqpNzmzv6ZNTpr819eXXwRfO65HV1gU8ekz9FkKxvQ/11IqzJ6+qCnmxLfXvqYqNsY7PAJ6NRFHyeoNskLjUKb3UxsNkpWBdG6yLZrua9WQhqBIW80DEc6XU4YbAO4WgEUTSO+uPNzzeDNJrf07je4cTCxu2RZdUhMHKDWT8Hhhs/HPjuXy9nuH6+pmPRTIPeHYm3TjGWP9U2NYiF9eeHe1/juus3yfKnCNON0JDmZdWXJ+feS5F4+f8qrOL/UuD7Zxznf9d5/08Y/2zq8Pkv4vnU6Pj+Z48Xzcl30rtfyZFz9+bZZWupORHtnsHksRN4dMkmRrbneHr9Ztw2k5xlE0vXVBKj2xJhg+l6K6U0VN/Wj7aFUqvRl0aMdD28tg6eWLWGJIzJ6TrbhVTZLTcsFpUBX92wdk5uIWdZbN86wKSuERx3wjGsWrOJh558lBFOnnXVXkboFltqFdpbWrBzOmcd/UrufOZJ7lm2lBanQE+fdAFqZGGqBI1M0xg9ooX+1CfoDpjT2UnaZVOMLZ5au4lRI9rJ9BwjWy1qYYmN5Qp6j0TJdGrFIffJeMOkEmlKoChVy+Q62ti2cZu6+fL7AnRbZ/bY0WwoDZJKh1URcoFJLY2YNmY85331As774Nks6d3AwpmTeeTZdbzy8ENYumI50ydP5sBF8xncYbN6zTM8vOpxelOf0U4HLaO6KNg6a9auxzVdpk4azablG9la6ueAvQ7l4589h598+Ww6xnmMap3C9/54Ofm8ydc++F5aWifwpe98hyCKeN9bT2Hp2ieZMH0fphQzUncW537zc/z3J99LJQ1ojdpUzK8l7xIE0jGm89mv/YDBSoWPvfM07n5gOce9eh+2LF3LASe9m5NOPo4/vvkQzr19HaNnTOCPd96Jlsn86IyYUGTrygHVz3XQjKkcceARPPvI/SzY7zBuvfchPDth/WAfi2dMwcm5XH3X3SycNp2gnLJs41o+/95TWbt+M69++xv50YU/ZuqIKVx5y5+V+LM56KOY2lRyBp7jctCIySxfv4XxE0cwZZpEplv51e//yJy28RidDi22q4r8l63YTK6jwI5tZQ6cdRAD3Y8yZeJ87n32GXJegVp/P6OmjqbSG/HV8z/BCW85ndSCfWbOUlTTnZUS733lG/jhH/+EncZ0V/uZOn4KXzr/BzDwNF/42RWsf2gJZsFj3Y5tzOoYzwH7HEpPaRPVNOLENxzOPX95lN7tO/nUR7/MV7/zWc750rfV9bZu04Nc8P0L6dxeYNT8PPnU4D2fOItLvv0LsnaHnu7t+KnPvQ8tobPQxshxOb7+phP51u/v4KnBHIkuLh2brFxTzijpPxSaKLqjQCW6EWN4LlFg4Qn5U4S82EU3A3XNilNNesyE2KtcUpmpXLkChRBYgR4IoEOccPIpI916Qow1CCMBN2RKwIoFbIHEOUPloEqiBM32VDRQ4rumiGqxhu1qVCuRijcKAVXXpO/PIavFClYQxyKDWcrBJzFGcfyEiEszwkcj57pEYaz2T/ds1VEn0V7dr5G50lmIcuupLj6JAcsOCnDDECVSko4hoWYrYUNgGmIOVD2HWYJhSf9miCMuNsNThN1Ys4ijUIk4cWIKP1VRtGW+RDlN4wjLsxQ8R+jY4hgTAE1SDrCsQMVnZT9FDDEkaqprBAJ1yDJc6Sqr+kIqQJfHA5mnAmlWGXKWmXnlKkvKKVZeJ4gMNIkmh5k6puoYZIZU0ylHocQqNT8glX0xTeWyTMKa6sZU75NeQ0Mcn3lR7xRIQ+ZZYB4iitYGq7gFFwExy5cwhjj8/BinwyAKWtFEFDZqJI6tHJsSEdZtiWuKpinZ4CpGmlPQDqsgcdeasH+VU0urVci8oiIiB5qDZSdokVCHPcy4hpZrIZD1522qfoCAliV2LfuSSF+fqWHL75vQVxFZ5SwMhESbYbgO1UpKZhrYSYAvv19y8sWRqJBynolrVMTVoTh6PqdTDYbONSFEyzkgvzjlc1szQuRhWxx+mostxr0oUNFe3WwhqVXUl0YSxa7VUvHeqfPaFeFchHfdpBbZGKkhyWUIB0myDiIRUqW7MZ+nvcWjf1sPuojMtvQUamSDvhLONLOonKq+kIyjQQIFp/aUeJxJHPk5wrCQouVj2i5aJKUBNCNHZAgVOCJz28nSGmboU44sJS7LxrhaRhL4WC15RTk3TRcrLhFrEhvWsVpsDHE+WkIL1nBFY9fy6phJX6WIrdL7qmL1ho6LxM5FqE1IfQ23PYfvC3k7ItNqcmFhFPKK3pwYES1eK4E/9LslVXCcoeV5RZckTLn0Zxe+GP982TP2jH94bL5o/93GLEVskChmo6BXH7sCbtRHs8OtLqDJt/gv/+m6v+raGw6MMBzgYTg4SPNopKY2uucaO/Mau/DGvf8htT3NAI3hxnAAknqv4P8Q+ZrAD7uLxMpodhU27+tw8yv7I6KcWl9T11zzehrX3TyGe2/jej4w8Zj/IUjV57pxTupjdz13jbFbWe6u1j8cYOV/bPcwrr2/tw+v2bEo76/3F+5qHbsDa/yt0Rj/3d02NZ4zInK+3bry71rPnrFn/F+Mfwf32X9Sb+E/e9tfjOP7t5bxT4/rHvOmY4l2Rsp1Z4+VXFnG4knTWLFzC6XeGjMnTmNl3zoWTRrPkg1bGWN3MGbKOHbu3Mxrjj6Si3/3JygZlLsCOrShyG93pcyssePZvrMXU1JAWcLh++7N7/54D+NGtVEhoHdbhdxocapkTBrRSSWsYaUegwODvOm1L+eGG+5m00BJRRSNvE6uaJNPC/RXy8wZPQGBBC7ZuYUu3WP99j7V+yXLysxM9V5JjLVa9Tl03HRue3oFaZZywpH7ct9DzxBKkXkJOkcWGejxMad4StQYWN9H59gCrm2xs6/CxPYiKzf38ubjjuQvDz+gIothllLt87F0m1q1RsuIFnyhKZYyZk0ay0C1xqzJo5k1bjKXXHcz+8+cwt3PLGdi+0j6SlWqQYUFM6ZQ2VYlcWMW7beQA/dexPYtG+gPYlatWsPGzeuZvdd0Kuu6Wd+XcuS8yazfPMDomXnufPBJjjvgJO5ddy8HjFvAXc/cjZ5o/ORrX+b9X/kyG9Zu5Aef+BR9tRp7zZ/MYL9PxygX+kv86vrbOXCvg5mx3yv48uc/xCAh++61Dzfcdr3q1RuMI/abO58Zk6bwgyv/wIIxnYyePpnljz/LsUcdwWNrluJkjopwPfLY06q7S0RVcbOIGLLvlHm87rh9+NOf78YrmHzuvIv47Cc+xPp4PSOMMcyYNoq1m7Ywe+oUtm/azJa+FL1vEwcfdQRvesfHuPqyH6JZKQMSMXVMLr/mGg6cOJPHBzdQ3l7jzNe+ipWPLaUUpxRGdhIJlbJfo9fYKkFMqqWINidPOa5SGUzZ0TvIqLaiilj395SJCwEzxk1l1aqteMUclgQ4vTxzRo3Bd0NufuQpFk6YqaiwQix9aMVytMQgXzTo7vexDY2jFh+Onjd5eMlD5K123vLGw/jhj69h5tQxVKwCo6KIA/Y/nltvu47t8U5GjnTwSjnlfnt22yZau0Yysmzy9h+dgb11JOPGjOHz/30m5/33D/nlD87n7jVPMNIssqK3WznROjs62LR9G34pZtTEWURCUdUsosGKIp36aYwnXlY9JfMl5ihuGlG6RNgyFa01FWqAIyVlqRLEbTmRoyqJ7qkSfT0pg53HyISUqhMFCa6tK8FLwBcZFroWECTiDBJBQASETJKrQ3ANcRSKLSiOVPm+Li5T3UczXdXbmYn7S+Ko4uSLRfRzVVxYuvaEtCvuPKnW0zShx7qqY1CceomIWtIRJzAW1Qsm6xBobKggBpkAQDIw41g+dkiEh6yHqpPPMA1MRyKf0nsWkAhhV0Q6W2K6RckHq+4xI+8pQnHm17AL4rGTbj2JJloqziyfKeChGyFmEpFoArTIiKQ9TwTNnHSy+ZiGpeZCS0F0MT+WfUgwnUzBG2xHw5dFxY5algCMZN7EmaXiulFEJn1ohoHmCxBFiMdD4qLQhdOkqno3NTMhq4LpWeiZuLbEVSmQEovIF6cXGCKOFYskEm+WHjivSJb4hJK7rZQxczkl5sjxEcHS0MRBaSqeSBRFGKZ0w4mfLyDODNVPJ648cRvK3JiaODs1dCNTXYtGWKUWQ6HoUBPhRx2TGnq+hWSgrLZV7G5S/aD8jbK5nojDEuO1Vfw7CkMcV+LUkAYBhmMqMS2r+ZQNl5yWqnM1jSHLWwQliTAnWNIPKR2HIoilMUneJfJF4A1wWwok0nUojrs0oyLHMpIvPQrKOejGg1Sz/NA54AdihlRkdc0RanOgPtOCyEGqLT3bJAoDJPTup6Y6N81EAriGctkKVTeICnh2mTjRiBKLVDdxjdpQLF1vVdeHaYWYkUkmkd2chRG42F05zHKJUuBh6P2ksam+OJM4cRD2Y+vipDfxtFh1SFb0vATKMahhWHnS/j4CU/oUPfJuRiXM0KIKtqlTFZ3NzaFLNF+zMcMAXYAp4sSUKG4qv58tMkuwMUKiFkunOFNdoriqfi+krTkIq0R+SmveJU1KhImOH8o5GKkvYAjLVGILN5epc8C181ieyWDvALYtBX7izhRRXcLjcMlPf/pi/PNlz9gz/uEhUInG6GyjMNb49/oYTlBp7ttrHI0il9yYiJtE3Hd1+qyMxpjqrsS7eudbM6VVxnAQiEbxsH5DVN8/eU4ER/l5/IRDnwdvDLcf9WXUhZnGx3cnKA5HF95V/LV5NAo7w5GFG7vh6nMgotSSngPU3NaFs13RdHcVD23e9t1FcIcTV3e1X7vr3xsudty8PY2i3XBzsqvRuOx6N2KziL2r/W/cx+GEzOGOcyN1d3e05MbHm+emeZ/rozE6vmfsGXvGf8bYnWB3/r+xEPmSi+t2teaZtWAqI8e0M9LIk7dclm/fRGpqjBvdxWGHv0b1dj2xaTMtWgv9yYAwJ9nRN8DSJZuYMHICHV0eo6IWZnVNRQ80jp45l1H5IgsmTyPveaR6xj1PPM1Bh84l0VL2mjON/EiH9nZPuXG2RSWyUKOtzWPW9BHc+OCjjJ0wmVGjRlIY7eKZOUq9AZaXklUz1vdso6fXZ2b7OE467hU47TZdhSIfe/tb8LScImYO9FWZ1DaOEa3t7L/33nztrDdz832PExeFMmmRejqlKCRpGYIOjEyEyJkSxhndOwcUUOKovRfS1uawbXsPtUqsHCXqxjbQCHtDrNSkrWoqd4+lGewslwiSgHvuX8mttzzEnImTWPNsGTsz6DYGiI0QL28zYcZIpu4zTt2Ir9uwnnO+/i3uenAJ9z/+EFNGjWLx+JkM7ChRNvKESYXfPHw/d214hrtWLGVs+2SmjLL4/9h7DzDJyjp9+z75VOocZronJyYww5BzFDFiFiOYM6Y1roq6mHNcE6gg6qogKIhIkByHMKTJOXZP5+5KJ5/v+r1N+ZW1PSMqq+7+54W5urvq1Mmnus9Tz/Pc/37WGewo7gI9x/S2dipjAzgVj/c86z1s3D3K1q0b2be7jyZRMzOHs2H7GKcefigLF8/lvj9cxuaBHXS0TuePd1yvOtuGCHjOic+jyc5SKQ/z0uNPpLerh+H+AbaNDnLUEUcyPlImH1vsGdiN2WSpYyc36FqoqXNkw76t/Oqq+/CSCi15k0t+9AUGxvs4bsEKRiujChoxb85MfnvTneweGKQ7q/HNS6+hOKxx7w0/oVINuePmh6mOlamOVXndmc9m5VFHYFRsjpmziE1rtzEahZRybfRv2wFhjmyzgzGa4A0EzGjupOQHVMd95sw/lF9dcS3f/NoHOP25p5DPJRBnWPPwRk4+ZQWYFb793f9SFNX1G9fTne8gE8KarWuZNq2ZuJzw9MOPZ86i6RSyWU499Ehm9PTidthYeHS3zWBsbJSfXXw1Y0MjLJu1kHR4K7esfYQv/fbLbO3fwatfdS6LFz8bwy5QHR/gskuu4rzXvIKPf+8/adnVyVtf/1LuvOlnvPcNk3/wV22TnVtGWb54OSsXLWbv7gpbNgzwrle/B6fVouxHikgqgpDUw2lGQsFI0MWZF1pgi9MtkhY/VdIvuflUxDUh0cYSwJzsuBMnWJQKJCNUYheGSxL4KhroixNMnGZyr6+b6ELXVFReETWkcy5UhF0BvIjUJVHB2JCIpY7rSL9eooih0t0XV0oqrpmJpR/OUuCDRLKScYwextJcp2J90pWnevvsvDqPBEghEo4lcVGlV0YKJOL7Eg0MJ7vWxH3oq/Y9JZRJ1NY2EyyJ3IpbMYzxJPJJqNxXEsu0XYc0kZhlSZ27lmuRVELlUhOXVRoGJGUfW6SocEJRiRW9N5V4oqhnQha1ScwsmloBcTVVccQ1lYaqO1DERUkbC8xB+ktDiSxbLhLSNULZN3KM5D0kwbFTTDPBq4REiU0UmVhiRtSkN0009EmxK419LMGk6uI6AzdvCF+EQJYRJYTyvhRJb6KGY4lTT6LEIq4aWG05pcGmhqmAPLZtYMRFDHGDeVUV6U4SB9NJFLhBSMNhIOufEkmkWaAbxQriYxOKq6sZytmmi7xlJmQMjzC1VD+dH0ayaBRLNptTEVi7o1lFkKUVUajFIvCKW1pK6HJ2gh+LWzRSHzIFsg0iHDlZ5cosjnuEbg47ThWxVgjD5YqHPzxBWhpTQmmQ5kj9KlGgUcIlKEY4modmO3jVIlHRIxaoi0BbkpA055KGHlESEloF5RoVMInAJwR4nO0QaIdE3yUyK+5THcexSKs+iRdS8QwFGJEuQl22IxEHbBOWZaGbMbohgJVUEYWtrIFt2CrW3FTwcV2h9VqUBN9r2NiRRij9l6Ui5UB68YqqC89qddSHSKZZJmNnaCoYmJUioWETOk2qJ1AituKm9cdHCCyHppY82YLDQEXgJgL8yBKKey+jY1jSjZlgORnl5g20VtWbq6ozRFQPSxDqqqtRSy1MN0sgSqkR4Um8f7RC5MXk8p3qfSGMskShgZvVcYXcK6K3CKf25PWtC8mbEqViWf2+M91Z6vjnWnLY2ZwCNh0cB8c/e4iAIeKH3FDU4rI1gaFR8KoXH+qFl/qoaeM/ma4WkZVliAglgkjNxVdz09VEj5pQJl9r8Vr5J1CN2jLrY7m15TdGR2uCnYhCtdhjvcBXc87Vk3Vr61K/TrV1rMWC5TX1gku9wFhbv9qNWSORtXE0bk8t7lrbFyJm1cc368WhemGo/rHGGOifHb8nHHzytfHmsVGQqsWna+tX7/6rHdMnI/zJtI2dh/uj1v6lCHltnxwoFlw/6uddO79r293ouKwdy8Z1k2ht7fs/cyrWdRbWzoUakEOo0o3LmGq7ZNpG8bN2Psk0tfj4/mLsB8fBcXD8/9f3P2IeT3Vstf59uHHeF/wfFfj+mvGU/ZUcVVNaOxzVySbdXk1WE6ZmUi5XGWScH9/yDawm6fySP9x9ulrbeeDRNTS7Tdyz7gG2D+xUPW6lsMwDWzbi2bC3OM7GkUEGh8fYVZTuNEv1Te3csxc7o7O1bzcF22ZkZ4n2Qh5vzOeT//ZWutq6eHTLXo6ePZ+wIjjPKofOnMUZpx6FW7AZ7itx9GFL6WpqpeiNM1ixWLdhK62ZFk5YcTjX3XcHLzp+BacfsozjDzuMM48+hXs2Pcabz3sWW8opmjgYSBQVNfYjiqUyn3v1i1k8fR79lDAsjfnds3Ftm8PnLcHMOFRN2DA8wiuPPUV1dPnRJNVUrH9hJaKcS6j0+XR255je1UlOc+jocohdh1wMnT0WM5vaccY1Yt/AT6TjKodRTVg4r4nHd+3kWSecRs+06Tz3yKexfVsfN29bh+EZjAwPkrVClnRNo3daLye0HMHnP/8tfnnXrfz8llW84uiVfOL8N7Fu3150O8fSRXM49oxubrzpSh55bD3f+81VfOlnv+aHP/gwzT0GmXwnwwM7mbd0Lt/+wmd45JFVzOycxmjg8bxjnkYSj1HIdfC9397ALY+tZvNolT39+zhywdHMndPDycceitPTxLKeQ1R3mggskjGTOOUxRx5OVYt5bM8mHts6yO9WrePGe+7h39/5Xh5Ys4EFXW3cfM+93HPHA8zp6WTv2CiaY/Hhf3sDdtM49zzwKO1dORYdPgNvvMr48D4K4qBb18/33/sq3nruOdzZt4uFi6exot2mqaUJw42oJqO4hQJDlRIDxQqj42UlDm/b8CjvOO/5/PrbG3n09i20t/UoN1Hvkk42bd3M6579TD7xwfPp7Wzl8NOOYWZTwKuPfg5zZ87iV7fdw92b1vPgpi1s3LiVvoEhDjtqKXv697Jty3b+uOpBHt/wONWJKjv8oiqZX795J7M6Fiq4wTEzF/PxN76SO357LZa2l0UnH8mrzjmDdFsfR3Ucpa67c85/GRUz5QsX/5DP/ngyurZ72x5OX3Eo961eyx0PPUzXjB5e8LzTueKPP8d152IYNoEXqRhsIoJUkFAMM8ohpIuTT0J1iZzbAp0QcShUJExDl02XPjzpbJNOrlBReEUMFwegVw2UUCQRSWnLUrFOabNzDbzRMcJQEq6Tn+RLT1iiS5xS+uksDBEJU1tBC0Khmwrp1oOqiFtKDIrwRXgLAyUwOq6NJr2BgpI1LWLTwDFTJdIIMEDd/2vCugkJE+n88kmlG88RYShUIpUtsVEzS9ZBxTAjBdhIlINXBCVdCLhOBjHDieggcUMhpyrvs54q4UWJnpHANeR9TeKtkgPOoFviDxOBRpxMgXKPpbqNZYRq3r5QbnWFKSbWdSVeynbk8rZyg0nvmHyIoOnVJ1xxYnctU5JIrBFPuo01C8tJ8AXeIT1/usRLS9iaxHkjBEwrUA+5vMKip0SaoFwBvyJGNCphrEQb6ahTTj43KwbsJ4jDgioWvMMkKdkrCSlXHH4WgRCYDSGiiu9M1g21PwV2koaGupb1UD7sCLA06aorUS0WcXN5TF+i4Ca6Iy4tIa1GVCKLStVWJs40ddQHHYbAJ4QIXQqV80269aq6gWWWsUMBvcTYughjDn5kKFeskc1TaBYXn0aaEXFR4uc6ZsEl8EISgbjYOmZcJpt3lCvbyuaJpfMuFjQNqmdQIqcSBw/CjBKSbCsDjrgVU+VUM9wm0uIQZjimItUiSoZOVp0XyWgJwzaoloQW62KZogLLsasQ+FVMI8EtZEUPxy/KBZGSFKu4zXmichFLEydcmSitYjsRaVgkLAXKbZyYLsVRASLZmAWBIMmuTog8caLKsRCRuqJI2iLDp6VA9RDGoTj6NIrViMB2CEolvOIo2Z5eKqajOjYzTTkyhYyK80oEO5+MYIqr0xEqLqrzMGOGWO1dBOPDilKvy7FNxR2bEMlnAXYBS0WX5QODkFg6HqNAORGN1MPOu+jSlTkxQnlchH0o5BysrEWcCqjFIKxIXYap4DKIIzPbjRZJrFvee/apnsRyKaJaLBHKtX9wHBz/AqNGyz1Q9HEqcaMmQNXEvJoQVftXP2pCX72IKC46GSLg1UZ9b11teTWRo+aWq7nipuqkq++Kk9fVz7s2RNQUkVGEu8btrfW71bvFRFSS+TXCRUTcqa1XDeJRm3+9ECWvnWo9avutJh41EorrhVQRm/4b+Vc67BpcX38WdxU3Wd339V/rbyincrAdSIiTaRvdkzKNuC1rr60XJetjyweKWf+3/fOEsFjrCKxt51SuwKnmJ8egXlyt75aqFy1roJT6c6s2PzlHattae6z++amWeyCnYWMfYePr66PMMmox8IO03clxsFfu4JhqPBWC2JOZx1MpvE0l6tXO7/+LXZz/VJGvt6OHw2cvpa3LYXFHN6WwSMkXd4+uxDtTYluWhetYTNgRo6UJknxK0S+TtZvRE4etw/uIopTOXLNyNgzHFcZGhwniiCj0J2+y4oTIjwnl5qkYU9ZjCh0ZKlqg4lDtnd08tmUdbsGlvaONUjrOM084g5Fd44yWA3J2hu62vCIymrkspjge0gqr166lp62J2x5exYufdw4DRY3tA2MEYyV+f/t1jBLz3i98nbvuv5OO3jxWqNHT1s50KRKNdD52yeX8x4c+jVNNyds2m9ZuorvQQVScoLu1mbc8+3Uc09vDbx+6i+amxRzSNBstp6F1mhx//BLiIKBpukvkp+zat5cRoT2aGoPVAXZXBli/axd74wmKWkgQVpnR0cGqbbdx3f2P0UQ3vR3TuGP9Iwz3reO7l/+aCz73NcZGivTMmM3ZZzydHf0lvvS1Swmr43jaON/5/qd4ySln0d7ewbX3PMqF3/omrm7x0c99hUce28L7L/wcI57PnpFB+nb0s33XAPc+tIELPnsRH/nq1/jol77Fxz/9VYb6fC79/nfYuLdfESW7Wzu5afUqjDjl5MOWs3jeArZsX0fGaCMuD3PHfQ8ys2MhHdkmprc7xFXp6UrJNGdoLbRw/+qH8Qc8RXvM92TonN3K4MAYn/nh18jmsxx55DHqZrVsxezYO8Lhi5aR8w1ynXmyURbDcRkfnOBNb/kkGTdi+uwZ3LNqE7+99w4+8IWf81/X/ZYlXbOwJxJ+efddeDh8+N8+gVcyeMd5b+UnP7mGajmks3c6vmVRdFLOOff19BkPsXtgK2985puY09TE0GiAlRb4/fX3Mx5WGSxX2LV5D9+5chW/vv0axkdKtDotzGjuoKMzi55YzJ92CI8+uonp3fPYtmMvK5eupLu7g+lzuvnpR95KfppNrFXZV57g8GWzeHjTRn5/7/1sGtiDE3VyypIVfPbSq9HmTuel7zqHt7317bQ2ZbFNS63zW171Dq79zUV86nPfVvHqJNFxcpNgh+tvf4yZvYcoJ5n0iWm6SZzYJEYBw4zJGUViy0a3HUWRTVPpr9Mw5ToTJ5o44ITDK8KILUAFR8V3hUqrorZi/JISftNWPYsi0IioJ64wM07IZKW3TyKbpiLY+n6KJq8X2Idk3IVQK447zVTOMCU+mvLeoRFHNprjKriDdMgJxTcJI6q+SIIGQRCTMTSCRIitEHjBE8s2icQSForApxRKUi3GcWTbQwXT0JIqlUhSyBp6NAkkEMeaqWKLFokREwnYI9XRgwA9kVeJWy1RPWwihsn2SnebiPZmRuKYwWS8U7cJAwtbk220lHATSDtapoCVhkTSQShinLjspA9U2L2pkGqFsmuSJr5ygNk5EWlMksSmkJcuvQxhEqkopqyv6TqKlKrZFm6uiSQRx+RkDFIox6nZRCYrzjrpiNOIDImJ6pPakzgKLVPFnRNxYcUemm6p/RonEYapk0SB6kOUzsRYxDVLgB8ZBf6IlDMtplwu45ieEnxzHR14lSqW0FGFZyLEdUOcz2USU9yfluqHSyUDik3O1rDS4iQZN5ZlBER+VYFU7Eys+izTJFDuP9938FINXzndsphOQBJ5aF5ZufmCxMRIPNWV5yrgiKli6bmMgxkX0Y0MoSGgCk+5AaWcUSLG4vSTPsa0PD5Jn/Y9UkOsi8kk0dgUAEuqYqcidNpuHh+JI0v62UVTH9oESlyshEJiDgkk7iowFT0h25zDTWBCCd0VMk5eAX2SNCRIY1XZ0NxdUF2ZpAZhUlD0WccVUIycUyFGpargK3L+U9RU32u2rUCaz+OoayrGELK4EpsrKmKd5nSCwFbrIpAW23YxbYeCY+IP9eMkKVURqeV6TTQl3KeWwswQWy1QDck3SyWBR6USkQwNYTUVKBhVDH8czcqrSLlWHlVirlz3loBXJCYvRGXTxqr4YkOl6pXQTRdsDdNy1AdwY5WA8u4ygdNCFHtYEvn35S3HxZb3ouoAdi4hjR2CYkDotGAKuASdTO4gpe/g+OcPEThqTqsDkXVF6KiJd42uosYYak3sqr3uv5FOnxDtxEUnwlBtfjURcH+CY73YVBPx5DXiujuQaNS43vXOqEZRsR7kUb9/6l129e5HGTWhTwTAmhOwBvRoFCNrTsXa+sq+anT01bu5at83kovVdtV1+jWKeFPuh7ppapCL+nWrfV8vdtW/9kD0XplWhMx692XtnJlK7J3Kwde47vJzDXShll/ngKsfNYGuftRisPWCmxyv2nFsXNa3d96wX2Gz9n39ute2Ub6v73L8SwKmLOdAoyZKynVRu/E/KPD9/+NfgW77PyE0SofZ/+T4vyiO/jOEsKcaaLG/8/sfCbv41L+woPiUdfI94+VnkchdrxTTo3H0ihWs27yesiPl9NLRA3EpopDJ0GJmcZoyHLX8eG6++3rVeVetxiya2ctoNCJ1T8zvmca9dz3OtJltzOtt5pG+ATpch33litxWk9Ft5s2dztOPOJzRUpWb71rFaSuO5qHHV6PrBofMXELsVNjRN0Cs59k3vofdG/bxoqcfR7alXZF+Ldvmmz/+L+bO68TUm8hoPvNmzKd/fICJJOaw+cezaeMDjE70UwoDRstVupqaybV2M+zvUYLDsnwHu0YmWHHoctY9tJpsZy9LDutkz7pB7nv0UY6Yu5jTT17Ktbc+pPwxC7ub2DTqMy3fxI6BrSybt4h7HlzHQHmcmXPaGShN0Km1KsdU3+gQK6YvYO3YDhU7C8XlkXUp7S1hNTlkAg3fC+ns7GJodIRZc1vYsG0fmdDiyJVL2bx7J61Wnm1j+5jZ2wkVaG03WbNxlENntnHa6afzzV9cRkvSxJvOfQn33Xk3S5ctxsp4DE2M0N20kJtvvpaRVOe1L3o6xx5/MmQWcMuvf8zpL57J+z90EV/+j+/x6ne+hoHBUaY3d3LppVdy9sufziuf9WIu+ePlzM20MBCXOeaQw1ixdCFD2wcpTD+EjnSEvl0V1gxs5L7t64mrmnJRTettJt/UTLkkYTSBO6TMzc1GTz3W9u8hp+mMeB6ze3sxxkIKC2axfcc6HN8ll3WYt7CD3rYeXvTqd3PbNT/mmxdfztwjZrN5y25efepruOSPF3P0knnc89gmOgotLOiehlcpM+OQpexds55sPk/ZH+Gx4gAfOf+jBDt2ctfarQzt2cKgN0JvU69yQ42HRebPXKiEjLJXZuvgbpbPX05nSxe7Nm5kZzzKtj27ef9LzuPbV/4cR+UiE044YSUbtuwkm21l/aY1WEaBaW0ue9IJzMTiG+/9HD/4ybcZGgtw9QA3k2XmiSu45/e3iLrDS84+ld9ecxvzDp/LzME8v3z4VuysOGZ9br3uHi699CLWr3mIEw8/kktu+41Uz1EZ1im0diLBTdsWWqnYx0SsSCYBAr5AGhxiKTmTOHlqqIiduFVNw1YuNRHXJUYrEAJR/ETIEmKo5nugiziZogklVsALUtCVJGhhiusaVIX+qotAkqpeTUcceAKCcG2sNKEaCkU2ITWkhC5Ay5tosdBdxVUoi5MI6SQlViK3aaQraI2QmEVaE+eebJP0HoobUZPIozgCpdNNoreJjh/FisYZeB5GUxvB2DCuMwm3ECppKAKT0CMSpQ4qV16cSnw+ILFl3yjzngJrKIFLKymhIUg0so6IpdLV5ymwhVK2BJebxIqiGwQatp2qfjplMXzCMSgSpZTfiUMwEtKwrikogSlwAqENa4lyU2qZHFo4BqaLZsTovnToSZeaiETSMSdAGZ2gGqGJ+ynQiCpjZDJ5Qk1TYl7oh6p/0EPHjnWirI1RLkvpHbppKdCErToCJWprEHkBdl4gEOK+jgg1HdM28Dyh+T5BQJbYrz25jkGiYzgZ0qA62Q8osI5YBMVUxbVDz8cSwVlLSH2XVGAP0pEYJljikBRxlizE0gEnTkcLN2+pXkEhKcv8YjNDUCyq4yRxcuktlPPbyIs4CWkkvXygRxIRzRHGJcxUmiYjDDlHw4iM5uHrFk4uTyzbLzMxTKqBdMIZGFFE7GSJPel8lO5HcQXaGJUJ9NQiiERATrELLqFmoZXHMFxXuTbDYpFsto3U9RRN1vADdb5H0kdnutjSoRjLb0cRHSNKMk1aRsu1EY55ZHMp1aqLpo8SRTnlOkzSIonehCGQGt9TQmviWphWSFiReLpDknhiNVUCvJmxCeMstjOKbuYJJiaIfYlmCyBKLiadpCRk5CxG5BNZOXIFD78oXbQZKnGFtjYHr2wrqFLsV8nbPr7dTiqxeUfOYUsJseI8zohjNfAJ1LUpDlIHvZCZvDajshLmnKYmdHGzSrS+2YJRn7JE+NOYVNyVcgwscdIaqiNQNxN03yfWcyqGLNevV5kgK3USxZhMWlGdiXIt/uh7Bzv5Do5/fidf/aiJUCJW1WAbNafaVBFHESBq4kkNJiA3KOKUa+zzqx9PFopQczFN5Xqo71irjcaOs/petVoP319afk3I2V9/XWMfm7js3t787j/bX/J6EWzqgSW1/Vjf71YTNusfq21Dbd617WnsI6w50Kbq2psK8tEI5DjlGUf9GfSkHvZQG43zaNwPjd2EjRCR+nVpFPcahdz6ZdRcLbVzaip4ylTjyXTtHei52jZJr2G9INcIcKl/rH4/NY6pehjlvKh3djYCS+S4yDgo7h0ctSHXwr+CwPm/Yfwt4Ign03/3r9qR96m/cr3+Fc6lfzh4430feSVb+ypkWwzG+gWpAL/76mdZv3WQ9/7gq7SHLoPySb5jYjSbnPfsM7nymtvpzrWwfbyfGe29DI0OqmhYEEkED/KGi2G6VKMypyw+ihOPWsFVN91DwW7nwZ33ULE8gnGPQkuG6kTEmfNms+jQFezZ3kfn9HbVY3XdnffSXHDpbO/CzoSsXr8NP4hpac3TNzaOGaUsXryA8YESUVTlkO4F3LnxfgIt5ZiZC1k3upv2qJUxY4TLvnMV73rX6zGaE0bGS8q9tWL6NOWUWNg1jW179vHI+o0ce+xy3nvuC3jlv3+O445dSrdT4KEN2zGSgNZsC2uHdzGrqZX+XaMkTToLurvYsG+AYuipuN+M5hbKScjEaIUZuTxZK0P77Jl4wxM8PriVTNbhsGkzyGamsX3XdrYNDiihSSi1Ha7LvOVzFXFy1soz2XLjH7hn7eO0t7ucOP9YzLEt3NY3Qce0LnKORlgeZ7CYcN4zz6SjvYeq5xEM72IoTcjrNktmtTKiwyP3PcZVt9zP1VffxFWXfoUrrr6Jb372bbzzi99l5fTFHLdsOaFj8stbr+eUladw/467CIc6iavbmXvY0azf9iCLpi1kzow2Nq3ZQpLVWNTWy0g5oqezg/+8+iqa3Rzj5RKz2rspu1X8sk9bU54Tlp1APD7OI3vWUC1XWX7EsWzduFFFJfPZHIsPXcrQjj727djB8195Fl/50eW0OTbjsUe7k2UsrvL8zuk84mf5yte+rc7Xc1/xIo44cil7N+4h11Hg2MUn8ODa21i4YB6/u+cBPNtjouKxNNOhhJwJvQqhuD5jfnDhf7CrUmTuouN599vOYWZ+Bqccv5zstG527NjEUFLguj/8mkMPWczw2DhvOu50rl37CLN7F1JIPbaNjJHt6eaxVXeQbdIwrCYefGQtbZ0Zvv76T7I3t4+HH9jLYcu7+ezXfspzzzyM5UvPZPkxx3H1JZey8JkreeTKm3j529/D5vR+3vuKj2JmDF5z1jk8uuZeTjj+OFav3cuNN15Pz/Iezjz0WH5z33rl0EIRbUV0k0RnIsVYk0RLwyDSJwEKQqxO4lBFbsU9m+gWWhpM9mTJtIRKcJNpRNI3pF/NELeVQDZ85d6TOKk4zJQgJGJWJA6uRPXciZgViCVJBDFbx4mE7Aq+l2LZsn7i+pFYuNCuU/GLoQk8IRQnYKzcU5qIDBJtrUrM11B9gXFiYCqKp0RcbdUdKI+LkCiAB09cjKJPWSlBIB15uuoVlAiw68jrQxUTliizuBQtEW+SCE1ihDo4ImiI2y9J0bRA0YkNPVLr41ji2hOBUNyJJrpuqw87Ui0iVS47gU2EZOyIOMkgDXKqU09SigQ4GYc4SAlD6fxzJ8nFIoxgKdqwbYsjS6OQF9qrrT5QSQXQIW+0WoydalRTXUV0ExHXJDLrZojDAE0EWKGsIn10GpYlsWfp4BMhK1FORRGh5YOYVJP1lPUR0Icx2Q8YhFTU97HqEZVIqTjyxL0oyqcAVrAyWOJCi2P8JwjlQsKNTIGniKvTw3JsomqEnRGHXUQQhWQsHS9KlHNS3vTFRScikhz1JI2w0xgtkyUJKkrIswyRQGVLRGwUarEcR1cJiF5YwW1uJSgVJ8VD16XqRcoh6mo6o0UfN5eFyoQS8Cq+pXpQdU1i6wIQsTHFuRkoJLQiNQuMI0kNbBFgReCKQlJfBFsBkeSV8Gh6Y0o0l2Pq2AZxVdyfkG+yGRoo09SRk7mhCfhZAs5y8SUBWiVCy4g+J+AJHWnvkzitkUbEuqtAJBLzlWi7L1TeTIZMNqJU8dBkHYTWW4Z8s6NcrVY6ro5X6IUYQhWWqK7pYIdVdGEWN2mEYz52xqTi61iWR0tHD4M7t5FKpFZWK7KItYiCq+G6DuMeRL5O3haxWxzJEwRJlqRaVF2U6gOBxMNoaaU0WiFbmBSFRYgX8V3AIQK9kcSzEIxjcUsKeCceVdF5r6JTaDPUOSNHtlKV81Om8bBbmogqkaJ/x75cKD7YrurRtL2E2NL4ySUHRb6D45876jvpaoJNjaRaL+LIqCfT1r42RlhFHJyK1lsbU4l+8prbrFceEAxRe50sryaoHYiqWr+ONVLqgQAiNeeELF/EnanEqKmEpnqRrhFYsr91q439RTXrn68tZ3/AiT/ryqsT8Op/nopoW9vG2rQiLNXgHVOBIKZabs1pV7/+U+3jqajNjftmKgpxjexcv92NQuFU4ub+lr2/c6t+f+3PZXggWnCNcHwgF+X+yLyyfbVzv3Ge9R2CB8e/xvhXEEgOjv99x+pvJdZ+6gkB719VYPxfI/K9+a0vZ9vgsIpr2RqcPvcQNk2U2Lh5J1aLdF+plJtycpjNJp1mVt0wVo2QeS3TGRsdY8/4GIkU7psaWT2Pn4ZMM/OQTZjXvpCmFoe7H32U3aPDqmxfbnCPWDaPQ9qbeLDfY/uuLbzpjGew1ffIeCEnrpzG8N5Ryk6B6+9Zw3OetpIv/fjnKsprS4m4ltCTn0axPKYK7KMgUF14c+fOJXZcYq/Mzs3b6F4wg/L4MIcsWsSugd3skX4xcT+hc+ycuWzsL3LO00/lF7+7GU0rs2hmD2amlc3FrXztgotZfcOvMBd286GPfZ5TFh/K7r27aMk3M21+G3fftZ5M3qalpYXhwTH2VsbQHJ2c9E/pFp5ERwsZZrZ18rA3RLytSNgEmZyJVhFqY8iM7laKozFDE0NM72pn8dxeVvVv441Pfx6X/O4a5uZnEfghJU/oqjGDaUCr3UJrVzNjffsY88p865OfYGKon507R3no4XuVc2lu73SytsH8QxdwzCln88erf0YcuezYt5eKFzOyZxuZrl5e8rTDuW/NLuUQWbdhF+/68ke57ns/ZOu23WhWqsTTESNVHV7HzJvPW977CV79uhfwyqc9gxsffpC1W3dOdkiJ1zFK6ZjbRlKVyF5CuRTw8rOfRS6r4Womm/YMM7h9L6XyKDgOKxYewsDAMP1Dw+wdH+CUw5fzzBOO4tJf/A67u4M2TWNsrMLzXngiCzsPY/fwg3z8+7+lHJc449Cj2bRjK/nmNlozFnc/vIbunm6GB/t49ytfwe33r4ZSSjn0aDIsxoolmhbOIVPew4I5KzjimJV855IfsLV/gmltHSrO+qPv/JQbrvoJ20d2cMs9D9I1LY9ZdPjKN37INZdcwliln1UbN7Fo+mx0o8LOgSHOWnoM37/xKt7+rNP4yt23cErvArrbFnLnQ3czc/4iypRY3NpD37jO3t3r2LJrN7+86BfccO9lrLrxfh7es4POlmZ+evFv+c01P+Lm22+nPOyza+M2DltxCNu0UaJkmjTEqWtGRDgRfkQokihtZCqpbrIDTbCjtole9kkEuBEk6jWqb8yQEn9x/xkkkfS56ZgEyjkXiVAjApguXXMi1kinnTgGq6RmligKMMXBJi4sidaWU2xTlmUTS9RRBEB5zkyVSKJJdFjWReZdCZRQI613hqyLONIqiTylwBeiTghBNfE8JewLQES2UZ5MRGRTPXlC9J3slNMFnKAJpkEq23SsRJyAIgDKi1VTJoZILqmnnFy65YBXwW7J4JdDLFMHP1Sx16weKlKxvMGlEukNS6SGo9yOibjCIgsn66EHIsrJPFMlgKkorMSP4xRPxRNlQwJ06fOTeLAtgktEGOtIYlpETnESihtN9eCJ2y4xFe1VF4edcHHyiXIzCkwlDqQvUcjCLlFQwXIzCtoh+9Z0RcBzyDTplCYmMOXd1JwkDCexiIIWjghygYiMAbEmbs4UW4RQRY5NiO0MuXxK5IXEgbgVU0zHUCAUAVRo0qsWa0qgTQUoIf1s4g0VuIWewYoDwTqQGr6qO5BuPRE5LVNgMC6JUJn8qoJuBFVJWkfypqf6AiulBDuTURRfifz6ZhNZSgSJCpqTFQhFwcUfDRTEIYgh22QTC/nYK5Jk29FD6WrUyBoxJT8h05yjMh5M0qQlDppUiFKXNPBwCln00McTt1wUkWSa1YcjAsQwJMqrZwkNpeBhZQzCakxGoMaEmLaEZ22CUByAGUF6oGkV/MDEbXOoTsTEVYt8izhZM9hupHrpwtgno4eUJPobO1itLpFAmuyQNDEU1bbZ1hmTfRiMK9JwLi/dg+A6Mb6XoDkGlaqIeYHq0Ms5DmE1wjFFHM4QyLpVQwRdn5Qj8rZFWdNUV544ycvDE7QVDIp+iuGKGGriR5qK40qvrp9IbFk6KqXP0SUZHyF2DZKyjiFwGiroThNGGuJVSlhOM7YWEZshadVEt4QWHBMmOVzRh7UqUaVCYjZh2BpODL7EvJ8Asci1a9qmclJLd6h8MPGjiy56Kv58OTgOjr9L5KsX8upppDU4xv7ouQeK904lDNULQjXxplGU+UtiylTLnkpUk1Fz0k21ngdaXiMltVF8qq1P/TJrgk2jm6/ejVgf62wUBacSUOuFqtoxEmefiKr1zr+aSCXAh3pBrNG596e4boML8M/2S8N0ja68xmNSP+qPz/6OSf3y6+dzQABHnRCpfm7YP41C64GWV799+yP7/iV3XuM+aDw3/tK09T9P5Uqsn+dBN9//LlHm/6JAdXD833Hx/TNH/Tn9Dxf5nvuG5+CPRpwydy7HHjKbXz74OMNhkWBM6JQBzgyhiU7Gt+Tm9rUnnMaLX/V+fn/VD/jFdTfTXmhj6/ZtNPcUGBkqs3DebCaGRpUDYDwUoMNpyqGwfaCPDXu2EJYTFaF92bPP5oobfofr2OQNhxbHZf7cZbzjvGfx6JoH+OO63czJdHPL/Q+Q7+nikT2rycQ6cVkjl7EYK5VZOXcOG/b2US0GLJozl2I4xr7BMQrZPLNn96i44r7dA8ydM50mJ8s9u9cSDCV4mseith7mzOskazaz6qGHVI9dW3OeH3/3l/z7x97I0SuPZ8uOx9m4Y4CzTzmN2+9exYbt25W74dAZs2hf1MP29dsYqpY4vLuHnUOjzOydx6aBjewYm2BmVzvPXXIYRqrzwwdugZGEmXOmsas8gTcwrjoMk0qM0WzT29ZK3+gIr3nGGSRuxP337aGjV2fXlhEljHZ3tBKmCVnTpK1rGnObZ/DohvvpHx3lpGWHM2/WXB5YdS/vevt5dC49nfFVd/GLG37DK972dm648mraWvM8/NhjLJo7l0tvvZbBwRLTpjexbPFRLOvoJpuzeeYzz+byK37CFavu5PgFJ7Fz22YMM8PMZd0strvUMTvylOWsvu1xpk9fSaGnzHs++wXVbyYKjWbraCIS+Loq18/1WLz3te/md7+5gmVHHsX2Bx5m2sxpPLZ9M12d7QqsYLsFbD9gzZ5+tu3Zy2fffy6XXv5Hprf28MjWDfTkC8ye1sM92zegVQPMQo6CxPWCMhNlD68ac9Rhy3h87Xrl/Fq+cB67B0ocO/tI7tt4E73LFlLdNsxnP/ZJvvvTa4iDbarHrTrm0ZeM4YY6w2MBI6ODLD1sAbv7h1ja3sXuoTGqkU+TA625WSw5ZAYb0jHe96y38oVvfZrTlj+XGx/6GWMjZX5w2W8nLyR/iIu/8Z+88YOf4C2ve5Hq6Fp43AkMP7SGnpkzuePxNTzrrEPZsGoLzdluumd2KchKdbif/LQedgzt4dIfXwEb1/G1665id3kDjz+6i3zbQjTp1ktTHKGJSidanGBJR1qYYJjimhPirYati9tIVWdRLQcKHCM5SBHW4zhQxFsRb6TTT0VpkQJ+DXnRJOfBQDPEfxNBJSFV9jJtUgTTAvxEU4KVblgqzooIS6ZDohkqjivRXgUSCMNJcIUfKlecgld4ZTAkTiygihg9NiWnqRyF0u2oWyKa6djyPpOGpNK7FoVK4EndJiLVl1ZVsVoR0wXxK3FQTYsxROQ0NZXglMit1AL4sYVliwQqjkdxLmpoYZXEyitIg14O1DInO/PCyVilrKcQXmUfm7Ie8jUGT8AdkmQ2VXehnH+yz4WaK84v2asiThq2rZxrIvZFAtcwhBgr4o4+2Y0XSWxTIpuTzjmh9IpLeFJc05TTTGApdi6r4rxCHhYsQ6Jn0Y0Yz5OuPVEMZR0TTNtVVF/ZTnGxSZBY+tyko9GQckOR3+UDkJY2otI4WqGJuFxUbkOJWnqxjiVAFgFy2CKmxqpLELWsWBFjfV86+sTdKE5Mg9h2cDNQHakoAIwpUWSRxQTeIRFwEZNsEaQlwio9kBa2qRNWhHILVt5RvW/i+ROSuS6djWlIohu4pkW5LMJmlsgXunJIpTihQB24naTIfjdIRSUW56nhYKY+qZuddLCmgn6VM9wgMnSy+QLh6CChnEtC8TWyk05S7QmIiAhdkUR9pUfSIdQ80nKsBEqJ1so5qss5EPuqc1EENF91+02ep7pWQUtziM20WjLI2h6J24RuV4mLibpmjVwHaVKc5FoHoaSlCSMPQ7oGgzJx6KJLbN0yleM4SSqkpkvWtVT0WjcSjCSLnnNBq+CFYIRlSEUsFdFXRGrpEUxwXI1UovYFG78s7xEiwMm1WyFG3HwiRptEsTgwDeJSUcodoVCYBOdUK1jS+ReI4C8AYAfK4+BowuFAk+teT4j1LJmMEKwToqyJNjJGKKAbldEX566I8CkTQUohq5EmFqk3gdZkYpQTQsPlxxd//6n48+XgODj+5rHnu8eo6GC96CbOOnlMwBKXhef8WeR0f+Jdo5utUYiR0SjKPdlYaC0K3Dhq6ymjXjCr/dzoftuf0FfbhvpobP1rGrvg6t1ltf1V//NUcdV6ka8RWnEggape3NyfGPSn7WnYd40x3ZpLsTb2J3Dtlwrb0Ml3oH65/UVq9zf/qQSwepG0UWhujDzXvn8yYlvjehxoHz9VY39C5v6OYW2ba+Teg+P/7jgo6P3jhNa/VhR7suvQON+/Zjl/adpP/YsKeX/P8XmyIt9TBt6Yk2+me0aBB/ftViJNS6FAxjXR8xpOs4UeGMzMdasb8aiUcN/DW3n1O17KtdfdS0dzMxv7djCjZybNWhNO3mHTnu2qs4nEIm9k+d0td3DDg3fyyPrNFL2A2E3J5E0FUggktlaN+eS73sL6nX0YepWLf3ojt92zjtWPP8zO4SFsQ2PzlsfJl3Va9QxpEuJ5AYsPWUhLrDM2WOHwhfMYHNzDGYedRMa2aG4yycYB29ZvY8+uQVZv2cimHTuxxjWmtRZUlLDVMunfVeKq229n31iVJqOD8VKJh+75HUctO4lf33Q12wZKjFTH0DLf5LwXPZtjj1nCS84+js1D+9i5fh97h4YIJwLK0y12exM8vGsNowNlVYoelT027uzn/kfXEVZSzjjjKHbs3qeK1l0pXRd5o2CoSKBM74q/sNkl8S32lfdx36NbsbMFnrboGBVz6mzupmVGF+ODQ1x9x/Xs86u0tTTT09rK1m3r6Zw7Ey3K8Z0vf5Sv/OGX9A/sZutDt9Cez9LTlaGrdzZp6nLG/OW89ISTmJefySKjwIue+Syuv+8+rr72SmyzDa8YsuGRBzj9OWcyb2YT9sQwV9x/K7v6+rnntgf48c3XcPeue1h6xFk846jjyGYdRaVU8cyyuIEk9phSHYi58rJfEVQMVt95D25PK3sGh9i1ax/rN29n7c5+yhMldg4WCTRoac7TO+1olixYQJ83xtFHHEVzcxu2pPSqARUnJSyWWNzTw8zWaSyds4Bjly1jYqKCabi4ToY7V6+l1Ujo9x9lQXcr8U5Piuv4wCc/zoY9DzCyd4Tt/cPkO2dwzPwlfP3zH6O5zaCnt4VwpMizlp3IpsoICxfO4bxnnMyuiSoVrcr199/Df7z1UzTN7uUzn/wuT3/Nc5g5dxkBLp+44E186vPvI9A97l27SV1T//bud3BYzyLyA2MkLTne8553M62rhR1bcsxfcRQnP+dc7ti8iS0j6zn65GM47Kh2Tj39cF7/+hdwxV3XM2dmG5Vd4HkhPXqkHHnicosEeCFtdwLfkK/ybSxxWhPDNQmlDy4xVPeYxFBF/BKPVCj5v1RXHZvKx2ooGUT1jTmagWMLDEIiudLHJRFIoZGKhVcMUgJICAgiEc+e6KPTxc1mEmmu6pdTsV4R75RQpiunVlANlbNXfRYhgpOTUesnrkGJ8oXiCIsE2CFzlXigTlZEN4E+iKNP3HSJgZHLIUQNidxast1hQORFRImuxBXVwScuR0UpFU1T/G0hGdNT2y6alZBmxb2ki9NL4A/FCqmsrsIOg6uLMCmClU4icUzpjZNYtHjodFtQv6S+iJqREh0TR4TCgnq/tIROagkURcQrfzLma9loUUWJZ45UxznSGRhgqnJAcXUZiAIj4pWYFYUuLIAQm1ABNrxqCTOsYgusxLJI/Eg5/MQVJ8dXhF1xXptUFUhF9ocuvYhCs9UMzNAT4C+645Bpa8avCPXXgOq4gnyIIOhFEvMMFAU4sTNE0s+WWPieRxpGuK5NGoXkCxkVOdYtS/UGOlag+tqkK86UCK5QyiOTyJvsyENovULyNbLYOXHUhVS8MpHpqkiqQErEnSnOX3FWSsdjJHCGakhpzMMSRG5UxbDkGAiQopnIaENLI0wrg52xcLUytiGAFJ1YnIdJrGLDAu+IHEedA46hK+BESXTqSGLYEAlIwknQM67qBvRL4lIUYIWDX/UxUvndECMcaOkHDIMyelrEFwiNxHl1jYwmlF3x+gXomSZSo6quSStbJmnOkMRVSmOT11fa0oQX9ONpqerRM/WYICorF2oYaIRxRol+cT6vBOPQG8d2MuqXu8A4bFuEyTyeJU7YMkZcwUg1wihPIpF9ESk18VUm2IYI2YmiFYv7W2Ak4qQTN61XNZWQGQs0RyA2kXRrVojdDEkmhxkW0QS+I05VzcTIF3BaWtCtVjQ3S2wXxA5M3gkIVf9eRX1wF4gzcELE2zyS+PZ9iYI7REaCbkvsX1fvMUKV9tx2yuN5KmaenC29mAfHwfHPHSJOicBRE/JE5JDv5TFx8tUerwElGsWyP/XXPQGkmMrZJ4/V36TUAAb1YI7a841uKhn1zjX5Kv9qcA8RQWpCT20daushAqDMt3Gd6mEg9cTXeujGVITgGpCiJizK62ReNXG0JszUIBz1QwS+/fXXTSXe1YAdNQCDTFODRtSeO5D7rZ4q+6dt+sqX/4w+PJXbT0Y9Gbjx9SLs1UAYNQDFVKNRyKx/vBFGsj9Kcv1rakJojbZcvw3159SBuvfqR83JWHttbb5/Aqy87/1/kQB8oBvv+v0/FRikBl+R6PSfPV6DojyxHf/KpfgHx1MzDjr2ph5/q4B0oGvmrxXLnuw6NM638ee/Z50ueN+d/w3M8mTfF+qne6rfS6baN081QOYpc/L9/LKv4IWDGH6WxfOXcOHPL5HMmyJqGtLj5Rgc0trDw7t3gAWvOPZkNm4fZMAYJFcuUEyHSZOEhTMWsnlkJ3lcKqNFOls7GBgf4pB5i9i4YxNHHTKXwfGU1VvWcOiCudx59xrlRlm6YAaF6R3sfnwPJ520nDe842O8711vYttoP0fNXUhbd4671zxGd/siHn/8YWbN7MBOUrzIZVf/To6Zu4DpJ5/PvTd8ivld0+kPynSGGisOmcvq3XsZHS+zZeceMjmbZdPns21ou6IDzpo3jWGvRH9ljHRnRHOPw6ym2Ty2c6OK5q1cfATL5k7j2ntvxtR0vFTnBcc+jevvvQvyEUZgUCwWaW7NKfLoNKPAupEBzj7pdNZsfIiBQY/+iTFOmDWbbVqJseIEpvTN7auwpKeX9f19SoRw20zOPOR47n3gUfqjMXWT3+K6qptu30CZbKtLkoOx/gqZnEHVizlu4Qp2jZU5dPFCBtbtZN3wOryJKjNnt3DkMUewb2ORWbOaKI2O8Oj6QYYGJvjiW96NFd7Kqr4ORieGyWcyBOKCig1eff5r+NkPfkJ7Vxff/s0vOHLmIu5ft4FTD5nHnkoZP63ywTe+luvuvJ/1m/r49jc+zv0PbWTH6u1877rLlLtSnE4SpUzF2iSOL1scj/OZMb2DPQN72FUc4tQFx7J698Ocuuhwtu3qY1dxgEPnLuTeRx5l1tweZnf2cM/jj3HkIYuI05jW1nbWrl3PntF95LLNxKFHR0eH6gCMPJ+HN65jRmePiqLZbkp3z3TKg+OMjo1x6MKV6qZ5NPTptDp4bGgDxy8/AiMYZNO2UeYtnsfQ6E7uXrcBN3SZPXcJ3UmVIStl7SMbWHnoQo4+5jBuvHc15tgoi5YdjYvHgubjaJme8OVLv8dz33gcZ3U+l5/ccTkLOuZz/0P3U9w8zsLjZrB2yz5GB/qYtXAOUZyyZdtmpvfM5iMf+j5r1/4X1//+VgxnDkesnMOGtfczp7OTQnsz7YcdxolLlvGdL3yNBcuX840rfoCbOUQ52KTvSjclUivQU3GmSVxVIrkS47OUCCXHQJ4TKIVE7d2MRXUiVKAFodmqnjJbIwqlUzAhErdYak+KXkLpjBL1uKZgtBL5FbKtjSZgC4mYOiae55MpOATivCNUvVyiIekS+YuEoJsq8IVQcRNxDIYiCEDG1CcBIHZM1nap+iKjVUkT4b2CLv1zyi0ocsXkeSSdfLqZEnoRpiMkWXG8VdEyGQXB0J4AgkSJtIJCkAoN3CAU65Ft4ybiMjNUp5ylxfixSVYcdyKoGS6I2KHsVb6Kz+oiOGnSGZcQR+K8ki4xjawpAodsm0FsRGihOBRloxNMPVBE3kDI3yJayibaQj0Ve6TEb4VLEaBJtNUr4gihNA7JZlwVU5b9nEhPYBzgBwaOa4rfEl0yzkmWMCqrYzsp7EXKOSkOLssUeUki0jpxsQpWDuOJvr/UMTCDSHgoZDM6cVAltnJYQgCWY6IOsChMkOjS9RdgCbTFdNT+JhZS72R0Oq6WyeYsBXNIjIzYtEgk2uwVJwEvAtIwLDF8KYE1dXOqx00cgElQVMdSRFvpwhOQh8SbFYFVosVlH022QzeINXG3TaDZ4o4zCHyJGif4pUA58ZysOBYjpPrVzZgkhghO8rOlflepk9CvQrNQ1EPCyKRYnSCXzam+Q4mpqx5ELSaQ3kCJQWsGhqvjDxcxcw5Gxn3CkZhS0U3ySVWBJZwmh6BsKIqxwGbkdeLAE2CGN+HjZHOYzgSenyeoBBSyDnbWYGSkQsE08aXEMZNVUejIEwdpjJ2RrkJDub3L1SqR9Fx6PomjqxoKoW8HvoeVEThNhJNtoyp1B3L+JvKYRSrCfWJjRfvQIwPfyeOasei9GBlDEZQFjOOmFaqakG+FoPtEf2Lk4bg5DCum5IkQKb9XU5qbMlRLxcmeS4H4JBGmaxFUUpKsQ6ehMeJ7GKFObIdKEJbYcRzoONmYuOwpsI7Z1EJSLBNbjhLhU3xsK1Ddfhd9/3tPxZ8vB8fB8TePu5bM+LOfpxJc6uOuNfGhFmmdqgfvQKM2Te3GpvHGox46Ue/kktEYa22MxNZEGunsa+xxk1HfSyfzqfUJ1lx2jVCFxmXXdxXWr8/+tn8qkEVtneuBIPXLrY9H18+/cVn1gJF6p2Dj/j9x3W7OuHj7AW/w6p1+EondXx/eVONAQtiBeg3rH5sKKNK4jKmcdn8p5ls/9kernKpDsX6+jSCX/c1vKgdq/TRPZl1r86jd1Mv3Ihaea/3qSW3jwfF/d9TgRgcFwf89458d+f5H9QX+LeMfHtd9+svOUjfyJy+ay2gY0bdvlInUx010mjM2+4wqxQ1VTOlYChLmHNnBirZ5VEo+hx87lz/cuopXvfA5fPuSX9La3MLCab3s2jHA177zA17w6mezYsF8gjhlfHiY0449go3bdlIuJ4yWhti5e4I5h7Tw3S//Fy947XNoMV11I2VnEwaiCc479Zlc+vvfq56so45cjj4Wsq88RjGcYMm0eSyd3832Ysr9D6/i7CNXkmvr4XtX/lpFcx0hdcYhmayrbtwWzprNztFRFsydy6oHHmJg7wCFpgyjdpl4KOYlTz+LG++5g8Wz5jNj5jRW3b+KktxYhxpRJsYO4SWnnsjNdz7G9GWzeM7hy/jKJVeR68wzvGeYMI6Z09VLqifkCgbZbJ71O7Zz0vITuPaR22jVbdKcxVDfGFFFKsSk8y5lZpdL0JIjFwbs3Fdm+fT5TAQeA8VBego5BvRIRfh6tC76tBHluBH3VWnUIxR3i6FhRAZkYrqbCowMl7nqFzeqY7vlpu9y865hoj6Pt33k01x1xXd44UvezpWfeSvNi0/k8Y1rWdA7m3IQcM4b38XD9/yaX/zqd7hWzN5x6VNzFSnUD6qceMwR+H4Jr2gxvauVPz58Fxe+7Xxe855PUHVTRZ9UYAURi6SEH53XPftUfHFtBRF3bFvPc447ij/cfh9OpplprsOW0hBLe2fS3z/EYcsWsmXbIHaTy8J5M7ni9hs4evpinHyeXbt3sHL5IfT39fPw+i2qo2rhkgXs2LKLfMFRotL0aW1s2zXC0oUzGSlNoCUFvOIe8p1LKY3sxStOkNiJgnp0m+0sPXUhP/3xVZz3ojPpNtv4xR9uVA4rcRwuyM4kp8ds2LMPo1Vj8cwZnPemC564Yvbxznf8G9/6z59RGXiccjXgjf/x7xyz7HAeWv0Ir37B83ng4TXEw4P0eSnNcqM9HnHsiUdSCmLOfPE5mDOnc+8lV/Dgg6tY9vTFLHVb+Mavb+K0w2YwMlBh7e4RcpUhtqYerUYOx22hmmmaFPFMR6xJaEGE5mRIqh6WplEWl1+qk3V05XZTbw7i6hIBSTSbZJJ0Ggapcuyobj9RxaTOTqxDsUR9JyO/USjRRHH2STwvIAiU5oKhZZRTMzF1BTIRgUqLBHohYA1NdaUJVCEJDIxsrGKqSojTTDTpdDPFr/qEC0/8ShJDFkFKOX8TaSkjkmvOzpLGslABZUiNnoadChXYVa7AaqirKCJPiFOaCHFJrMiviTj2ZKNk+5KEvGtRkfhgOjkvEbWcjFCHhbA7uY4inWmaQD6kB80hiopK2JOoaSr5SE0jUIReud4soidAHyJeSR+dkxVSaaB6CJNqgpAwEv0J2iiTIo4fJUpciiwBNJQJwxwioYhAhzj6Al11IYorLdDcyf2fxE+ARLIKgGEkiaLZxoalICKxxLXFXSa7JRb7ZFmdA4nAICR2aTRhxlUiv6SOQayLw7OdRD5MSKVrUMeyEwXgSCWGLI5LQ1cfaggcZxK0Ip/tJKTSLahozTGJlsELy2RyGfXepIvwaSVkDOmw8xXoxcGnEpm4SQXNyUFWxK+K6lkUY6nlRiTlELI2jvS3JeKKDNW6RxJblVi2RK2jCCvvElbL5EybqiZCn04uE4suS2LKKid4VQM3q6v5i9DtVyajsTKiVN5rBTwSKWaMk88pWrO44cSNaRgpflVcqPZk72Uq2VQhSJfRBRgReUQSR07FJSnHVsPKxGr7bA9CuZ48H0d+f8nF5or46tBkB4yL69FwSDMG1eIYmaYuwlhowVU8if4KeMPSsHLiMLVJrIrqOhQAjpqLaRG7Em3XySQeXiUlFXpyOVBwFEe38SWirhlk3UgJ51lLpzJRRW/JkJZ9bNPG0iOqcYomwmu1SKa1jUTeEyXCrGl4QjZOdBIrR0cySlXODyeDgHflurIk1S/nsjiG5X2hMoFnNavuTlscrU6MzMLMJHjlSeJ0nEq83Fbx46hcVSJtTvOpRjYXX/Tdp+LPl4Pj4Pi76br1jqx6sq4MEZDE1SeuuUYhaX/R3HrBaH+jnpDbSOttJJnWi3tq/lOsw1SCUA0OIkJNTbCRr+LaqxfQGqOe+xM760e92CdjKrdWYx/gVFHdmkA3VYy5ftn7m0/tuNRvy18a+6PyNnYZ/qVR626cahwofvuXROH6qPWBuhCfbDx3qukbgST1ZOMnMxq7EBvXrV4IP9A6TnWt1M77g3Hdg+PgODj+WWN/Qt7fGyH+h8d1Z/X0cuzShSydu4Q9/WOYSUyvXUDLaIzEPnqssXBmm3IciLFjpFxh+64+Nu/dzY9/cyO67/DVS3/Gs049kiSMeHz7JpJszEc+8GEWdM9i346ico51Tuvm/sc2sXHnXtpa2hjxyxQyBued+SLOe9MLlDtpYKTItOU5Dll0KM8+61nc9fDjzG7rYsXyhfTvGGTd9p2YiU8cGjy+bSvX3PogQzt2Mb+lh9+uepD2rEFHIY9t25TDIk6mwL7hInY1YWRbPyvbm8lEHs85bgXtHXmK1SrBXo+8YTO7s5vZXTPZtHUretWnPZejOlalalQpVKX8PMv6rbvpnNlDdbzCA5u30NXcywuPPI7MNJdCRx6ts0Aw5rNt7TBbtwwQjUfc9/gq3NCkGscUh0sq1pZtkiL9iEJ3jmJg0DWeZc9AWfVjPbZjC5WghB1qdPbMwYlSiqNVFs7rpdRf5LwXvZmT5x2JWTA5btmhtHa0Y3SYVKspg/3lSWcQj0H5Tu7YO8FD9zzOjNmd6lj7XpVbvvBVXvTR73HtfbfxtJMWYRojCh7ws+99lR07x1m6dC79RZ+MlNOnCbaeY8mSGdxx96Osf2Q7W/p2s2huB/mWFt7zmS9gd9jqHBEAg9tk0DqnmaauLLqjcf+WHfz+4dU4HVl0L2ZPqUJXRwfjsU9TW44MDpbRTEt3O/MWzWLOnDkMT4yzZ+NWDm1rZfvEAF3tzcydP4Mb7nyA+x/fwhErDuPkY4/h0fWbeO+rzmbZsiX0zu7GF0BJ4LF6/WYe3LmJZ515Jp/7yn+yfctqsvEYvdOztDtQHCyjO1DaNUGm3eX62x/kJzfdzgWf/JRkhnnza97NsnOP4/Uf/hQj40VeesqprNuxgw033sEXPv0hzn/7+2lubWJw461kuw6lc/YR9Gbn0K25/Pqn17Fnx0Ze+6H30Ns2nzd/5fUUxzyOP/N4fnPTLezYvotPf+x9PHrLb3nFa1/D/Hkz2HXvGvK9C1jePY3TznkdL3/nR/n8he/irLOfzRvPPo+3v/ED+PqwOn6pYakuQ12z0GyNOIgVDCI0IlzTJONI8DUljWIsU2KwUsYvPXuGiszpaYxhmcqBJC4oSxcnnKFoqCKySSdbKjFBcQcJpENovKIWSledRNDNSaegHgqFM0UL/CcosSAGPZlG3HYCYiGAQKi72mQXWaQ7GFGsHIlK19JjRXWVPjyhw4ogJw6txHCl/e0Jmq+4F3Xypuhsk5TbUPoI9VgBMHSBgjjyviS+NxEUJLYpyWHpC6tii4NKkW5FmAoIvUABghR8RHXpaThuhGELZCRVwBDpoFMCk7hSE9l+WS8BbUhsWuihIY4rXYcxsXTL2SZhOVL9a3oQYhsxUmXmisPPsAThoOYhFNn4id7AJMxiZDUSIyaQrLE6uOnkPjRFwJuMC4vgJr1oIpxN6pMyjQimkXJaSoQ7CWMxIyo3dWK1qDju5AcyEWYyro61nc2pSL2IMQklDAGWiPszEZnSEe1YfIPEusQtU4ysRGY9STar7jeJqko/YRjGGNm8imsL3Vy3LeLYUcK+RFADITkbOo6R4sW2iiHrmVblxowDD811cVwDXfdxbYdcwcQRcdoTYq9BUBUnqESsdRVlVmlqWwRUOT81VQMgkBmJPgvAJdQc8SISeAY5NyEV96CWKCCLfMhjy/4ToEpVYuNSJeCTJBp+uYSAhQUW4wiVt6wrITFTkPnHmOJgl9h53iKqxrjZLKGX4Ghij0uJRYgtOZjJpEBmS8Q7EU9rgJHJYKU2thlTHlNeSAzXwC6VyTQJCGQETSLftoUj12yrHC+HyoSHGZWQ7gIvrOJmDQW8EUE+rZRw02FpJFSCW1iKMbSscoInQnAW1664zeMchu8rZ6UI50Y1wNBlW8TFaarrNqxUaG3JUi1VCHQR7R2qxTKukaDJ+RsOUMwUmKgKxTkikh5LWZKVYgqNVyLp4uDMNakIsJ5IhFoqAURcj/HGNUJx1wqAQy70MFQx9nxeU1Tdqnh/1acKB8fB8c8dIjLV4rYyavHTxoju3Rf+fkohpkZ+bRTHlIB0AMFMHhNxSFFJ62Ku0k8lo/baWiyzJvg19uPVphVBRcSSerFSbkJknjXRpup3UtoAAQAASURBVP5rzSlXL5bVi4q1fdE4Tf2oRTyly0/m1xinlddNJczJtCLeiFNOHpMbpppTT14romR9pLg+qlxbZu24yVfZZ/Xr2did1/jzn45PndBXP/6SwFebXta1UeCT9alFjGvT/NlynxBda/tvf+sp6/Cn6OwTx2Uqd2f9PGrT7w8GI6ORFl0b+xP4aus01T6txZZr10ujuFpzXdWfV1PdGNdfK/XrI//k3KgHthwc/2+P2vvjwfHkx1+Kqf5vjMR/6h+0zvsT8vb3eON6/b3r+ZQ5+X75229w6eXX09ok9oCIHquZbcPD6uYiyaRUY2VkIdzrUS5FHHHaYuJ94zidrfRkCmwc2MWCjhls2rObnXuGaGsu0NuWo7m1nX3De7EtByfbxKObNnHGESu579HH+eVPruZrX/4EDz22mrEg4GlHHKEiqv3FMmu3bKenrZvW9jbGBod5zQvPYtbhC3j/R75AR3srK+YtYWxsgH0bN/JgcVQ5Tn7zk2v55AXv4ZSVS7n0xutpL3SQT1LW9g/g2CatGZdpPTPYsH0zb3rxs/jcZb/EcS1iIZBmNVq0PF2FFsrVUXQ3xwnHHsvQ+D7uu/MhBscm6OzuUt1nvl/m0KXLeeixB+nqnYEWeWQ0hzQ2mN/bydh4EV/zaTLb2VHazdxCGzu9CRUf7OsbYrRUJk5SMgXpJ0vIGzoTFY9DFy0iGkt4fO8mtEhj5rQ2+kujnHvamfz2kbvJapoSAQvtDq1WE8vb5rF2dAu9mU727tmrbn4XnXg419/xR/Dhfc97GeNFnZZmj6e/7Hwu+fm36dITdu/eheN28sxnHcf1N93O8Pg4j+/YzIef+xxu3zxM58wW2p0mNmzewjOfcwYf+drX6G1ppVyMmN/ZhtvaSmCkHHPYcgaHRxneN6HK1y+/8w+EIrJYNk25JsrVoooWPm3x4Wzau4l9/SGFnMuKefO49bGHmN8+XXVZtRQ66Sx0sqdvK13dncpRdM+W9Ry3dAV3rFlDT1MzWhyzdOFsdgyMUKkEnLh4Nvv6BvEsS7l75H4xm2iMlUPKXpm5cpw3bOEbl/2at7z2XObMbOHfP/UtJZG8/71vpq2zEztK6Jwxje19Awzs3sG/v/f9/PyqK/nghz7Da978Ci654Md843ef5fkzj+WCX1zM+a94Gcc9Z/IPkY++6w1MnzuP57/qtXzxGzdy/vNm87aPXcCZxxzBRz7zTT5y/pvoT0aZmZ2mQB5v/Mi7+Pn3v4vT0sS/vep1rN3UT26klasf/gULFrVwz6oNXPzDyxja/DBf+tGPaNYc+ktlvv6Ni5UI9fLXP498y2yGx4cw7RZFkTUFgCBijC4uPYmHJpNONaFuaIkiLEv8MZSEoBVORud0TRF4xdEnZf5WBL5c2OLOEgCGlOkbkwAPkffE0STibaxHymkUeymBuIDCSDnsRDBSoApRFAxIJL4nApO4wEQki0IFDBEZSYr+5bY+lU46yfzLo5p00kUqRiuiTo0Sq8q9Yk11psV6Dk2PCD1NLUMcX1FQVQ40w8oQCjlWRA/xLfohpmmTaLIfAgJhz9oiyOjoEjOW7ZG+PyRX6GBKx2NZw5YOOXFuRSF6tgU9Ksm3SmCSfjJZf0MEEEWfFYeiRViSfZ+qWLTsy0CgDJqHLUKkgDLChDB1ydkWflxW7jFdRKAwwcwKSbWIrWKu4o5T7FrlGpTuQ4lDyx6KEwGd6MqpZ2cEkpASpb4iFbvSpRamRBJNtQwEIhxE4oiTfR9heB6BnsfJxEo0E2edEnYTiZtOiqs+0oMXkzWKYGQVdMXM6KpbM5JIr4ioiXTRCdU4wHSbqcS+LEjtG3HtSi+jxE5FjPW9QEXDA4lYi4Cr6cSxRiBQD9clH5Xw3SZR5MjYKNFM6MYiLLkZd5LimjWpVhLliItjdVTRxEUmjlDpaXQkdp2QCB3ZTQkS2fCKclJKBFa2MU3F2WkRO614I7uV21UPK9gFcTD6k65FqwmjXCaVeHkQY0knpReJMotmSb+cTugXFWCmIkKyliNjxRS9CKsli+GFSkSW93BXouFWRrk8DUPAFg5WFFH2HTLZkHIo3XRNqjvS8iaoRha5jEulOkQ23zpJ7y1HWE3i1jPI503SUZ+yblIVaIqdUIosmtq6if0Jglhc9iKe5jG8QSqRSySUZ0tDy+Sw/DH8xCERiq0Zq1qJSK6GTF65WLVEIrMmJWwcr0Ka+sqBKhAWR4gZcr36AW5L2ySh2wzwIwsr9kjNDK6b4lUjUgF2xAK9CSCXUx8OBHFE3kwIrBhvIiHX0UIqpGfp0qxWqVZ9LNvFdCwuufhgXPfg+OfHdRsBGPU/11x9Io6I0Cc03vq4aL0w0hhhnMo11eiekvFkI5eNY3+Qi0ZX31Tx0MY47P5AIY2R2do21Ci3tdc2jtq+qAlP9b2C+6PwTgWQeLLR4Pr1re95m4pU3PgaJbQegML7l0Yj+bg26mPV9bHk/R3vxrjw/qZrBKpMBVj5a9x9TwZYMpXrUY7tso77VNSt/ryf6tr4a9ehNmQ/HHTz/b85/l8BcvxvibUeHH/fqHf//cPjui97y0tYOb2DWzZuY06hldBOmVto4f7de7GabXwp25EbWk9uAqRIO6WdVnYM9ZFxLJYtXUyHYfPQzvUM9JVZdEgvWddlXs90tuweoFqaYHpbF5u3bieTzdLSlmV33zA512WwOEqUJhyzdKWKjpYscc2ZTBR90laLa350rVrHS7/1RV7zzg+q789/w2v49pfewWs+82WOOmQFe7duVcXqRAZHHXkoyWiRE84+m7tW3Ywb2lx95620t2XYuL2fWE9UF9jQ2DhW1sKS3irDoMsoMFws0t7ewu7hYT76hjdy+eVXEkYh8485lL4d/bR3djAn183Vq2+l4ldIRxMyXQ5HLVmOVyyxedNeWnI5Fh82j3VrtlP0fEZGhpje1IafpuwbH+EFx6zg4Z2D9BUnmNmWx9EsmrrbeHj3BhYYvawZ2kK1HLJ02SK27+wDXzq1fNoWtFAZq9KSNqMHPnOnd1IiYefYPqoGTG8vsP2RPcyZ1k0x8vn5j65S++qC/3gzn/rED/jqJ97LmB7hZi0+8oGvwq513Lejjy1r7uXQ+fN4eHM/QVBE7C2/f+ReFnTPYWZnnjhrUDA6KDNBaWwCy87S6eY45JQz2HLfXSxbuJRdI3388De/UtFmiQ3LjaG4eUS9eMYRJ/DQlnUIE6A930JGz1AcH6W9u4OOmV3cdc9DtOoW3fkWjAJ0ts5STqvHV61m2mFzufuOBzntyMNVRDHblGXVqjUsPfRQ1m96hPGRCmeedRpPO+mFXPWb7yoAh6tnWbD0EO68/2HyXkh+ejMVme6M09kzNMSuHdsxNJ+PfWoyKvb+d72BL3/8P/jWRd9QAuGHX/9xLrn2Ih5bv5MTVy4nO6udfZt342SzTGs12bSzyqr1d/OGF7yYO+9Zw0i6j56Waax6aIsqvz92yWxe+8F3cMU3LmfNto3Mmj0bdiWsOPtQjjv9Bax65CqOOeyFPPKLy8kc086ieWeo9bjroesIt/Vx2otfz9veeQ7TO6dx6hHHMtC/l1/c/kdsuggEFiAurziWe3UFPRBfltBhBY6hesOErRCK0y/FFluc5aDHKaEm8Az1IuXODGJb9a5Z0luni0gobj9N0nrSnq8gDnoaqnhoOQZbF5FN6J9iqJIYpE0kBFotxRQar2ZhqvmKHyxVQA5Bg4iPSWrQpOvL0MLJuKOIdhJddW0CUb+q4rSDIBAib068h1hpQhz4JAJ0iaUjLpHVwjUkuh5huA6hF6tVEtKpAC7cjIOWeErg0ET2m0wAK9FRhI3QzGLGPrYIjxL1lTi/QAzKMZmCPgk1iRPVPSiRVwENpJPmZSVqSfdhnEq3WUBqSy+iiHGhIsSK0CVONhFTZVqBRBimQSBxTIHqiCAdRgp6IlRi6cAT5yuWkFyzRFUBbsTo4pwS95nuEFfH0SVGnCtgCbVYsqki3Art1Q/IZByqkVBeY2LLIKn4SvyUmKeRtwknQiyhrUp3mxYRSgejCMGZZkgq2OLmE5E2lIjzJHREbay4RIWWWy6B7eJqEUHqEkcBGXGNShTXNfArMaabIayMTopqqUXGCAgkXuonOFlxCIbKMWdJdFo3EdxQmIRK6BKqslswieOUuFzBbsphJgHV8TJOZhLMoQv9OdOsxOZysUquqYk0kv0ijkiJNycSeEbzE+UcDoIUU3oLLREXU6oVISjnMBSUQqK/mjo/RewNwgKp64H0/mVMQs9A08XRZlLyTPSMjSHimFjMxQuqRO9Yid1Gm0BwbJJShZyZ0NRpMzAobjpDHY+KlxI7GpnIVZ2BvjbZGykR8BiXOCyT62ylsqeIXkiJvUQ5Xn3NIeNUVd+iRHqzaUQg55kubsxJcI2CmStojYEubkMFqfEmewkNHx+L5rxNZTykOR1lMMmTsQ0CgexEAY4rgJXM5LVemez4lJ4+EfsjI6/IxP7oMPlCnorvKUFZbLmB72I1ZdR1l5SGcFuz6OJWrQYIviRIsxTyAtRJSasWthMSVOV8dnCcAmlSVc7FSqWinPYXff8/n4o/Xw6Og+NvHjXR7kBCXz3JtibW1Edt/1Iv3P5GvRur1gFXg1rsj856oCjwgSKo9UJUTXSqORVrIuaBKLf169y4L/Y3XaOAN9X3jbFOeU1NQKx3/skypZtNnHONbrbaNj1ZuuxUsI3az39Nz109Cba2DvWjXhCdSuza37pO1dVXv271+1Y6Bxt7JQ+0vU/2uf09PtU6Pxkxr3Gf/6Vl1u9bua4OjoPj/+Xxr0qY/UeNN/4vEkKfzLH6h4t8H/7Y+fRqKc2FLFet2ayiUUu7OxmvVBl0PDwzVm4to4yKfAVOyvEzFnDk3CV8+9rfqcJzcRE4kcGpRy3lNzc9wPI5CxjxRlVJfN/EOE5i0tyRZ6A8TrNWAF0ohxptcYHt1QFas80qJlf1Q5JqTGnMp7Urw1W/vF6t49vf9jrmTWtn3e5N/PCi3/LHW/+L7/7wZ7Q35xksFjl09kIKTc2Ml4cY3lshl2lmW3Ezv/7h73j6s57GvEUzOHrxcqqez7q+jezY248ZWjS1COlRo7PQg2ZEDIwNMV6t4po6R/XO59YN65g3bzG7N29FcwIMI4PlmnSZ7YRGgh96eKUybpPF4ECJrtZWdgwM8JZzn8dd1z/G177/A7746U+yc3Qne4tDTIxWMBON41Ycyj1r1tCdayHrmpgZh658htsf36AABELzlH6uJc2zGIqHCXSNikQNo5hoNOC0Y45geGSCndV+WrIFdvcNKbLiouZetvt9fOMd7yOlhDfkcufDd9PRleOlb/oo733/a5njtuLOnM05J57E77c+yE++dzmdPXleecapDAyM45k2f7jtVqZ1t7Nk9gIqTpW5TbMYGhhk7qx5eFFEk62zz/MZK4+SNyxG+kZ4eHATUeAxt3cRj2/czCfOewlX3fYgjl6gpSXP+e//dx654Rf86KrryLQl9HbNYa9XYs+WbSydPZuB/nF683kGQp3OniyViWG8xGBi0KPQ08meTZtYMKeXdf0DPP+0k/DLFSqVKrv27KWztYW+/gEMLaavGrFi8XxG1u9UZN7B8QBXIBUZi9aWZsYGR2iaPp2BygTB7hF6589g1sxp3H3Ho7j5DKedfAz924Z460cv4Ny3v4Ajexayq2+QxNIpeUUmqhUO65nDsFdk7vQeHtmwlYs+9St+d93XmWCU5z7/VD7z8cuJggrTp7cyFKYsWjCN6sgAe7aVeM3LzuZHv7yGFUetZPWGNbhxnjNPPpJ9Y/1EYymves97uPza73LvLQ+waNos5s+bx7W338HW4R1YhfnEAhkR0U5zFNxE4oVic0vEiRbHRLrEYSX66KOLq8vKKGdOEgdkXEsJBbplElRCDDuV9OFkJ57lkgQiRIinS3rTxJkkQpmIeQaaJ8RMS4n8IgLpQpOQN6LIV8JJIpCISNi7EgHWlQPPcmzVAahiwyKuSK+bREnHihi2raK1ksR0xIFlOqpPzzQTIjnXpfeMhGqYYotd03bRY48o1dF1AWCUkEyrZaCcTFpGV+42Xbr1dBExBTYh4kWsnITZjKViliI+GpZBIO46T0i+9mQUNg4mRTwzUBHYxLAmuyWVY9EiikMVtbV1X4FCtIytaK0SbRYQQhxUlNBqGSIepsoRKe/QhrjVkqoi3cZRginOLU3AERlFT5Y4qghzygkp62wJQVyitIqjjCnvv76GmTXxRdhME3xHw5GqQN3DMluo+KGirIqz0DAcYr9EnFg4bqqAE16oKaiG49pEkSzPIxU1MpXuUFRvZvqE0CtCsTpfMll05Xyb7LyLNBEfRe6S/WtN0o/VOVNFzzokRU85BQ1XQxN4i3ShiqMyqqIJ1UWEU8cQbi1+nChisKO69qrYjk6YOliyj7OOIttKjFn2cyjOOCIcW/LfyWTXoWUqITHKZDFin7QshFeLbFZ8mrr6fWWKO61SVtdLbEn8OMJx5Fw2iYwsSWUEO9NM1S+Sz4urUWLSoVqOcq5FOp5l4sY+XjXEzbWQar4CuuiaTianURVarxLMHIxknEh+PwQTCrBhBJFyTcaFFgyvpERryzWIzUlRt8UxGNVsCnpIxbexKJJK955nkJoBtiGdiiKCuth6lapnks+nKpIsYqaWhmTyOVLZfhFZo4QoMFVtQd6WgK2njk+o57BF5A0CzJyOUUlVF6AcAyEmZ0Qklp5OAT67rnJL63JOGjmscFR9sCAidiXJkvpF5aZV4BF0vGqsROhsKm7aCFPPkKRV4ljI3iFuwSK1xflaVi7VKs3ktQlwbS769g+eij9fDo6D428eIpDUnFBTwSzqR83V1xjDlcdrTqqag61R+Gl0oTV+Xz+tOJfqxaypxlS9bo09buJQkxujRjGytqxGmEOj0FkTqGr9ffWOtNpodAXW9t9Ursb67r56wWqqCHJtuqn2z1RQkPrpa/MToajWF7c/11ujWFtbj6n2fX1ktVGkahRsa5CSvySyHUiU3J9b8cmIyDUxdn/R4/1BUmTUXw9TOTufjAi6v/U80L6YahwU+w6O/22i2P8FQe5A2/Cv4rB84/+w8Pf3HscDrd8/vJPvmMOWkstnSTSNMxfM5ORFc8gXbLpyOSJTwmri1NGICzo97Z3qxvf+xzZz8RXXMCs3TXU4ZbQmFdVas7WPno5W3DYHMctkmzqZ09LB9LZm5nb20p5pUb1N0slTKYZsLQ3Q3t6qboZFxEozYLfLjT4Uhytq/V76hmfT1dbOw4+vVwLfeW99AU877RVYGY3BYokV02YzVJngwW2rWbtxJ93TCqwtrVUgjF9e9nWefsqRnLT0CK597FZ27trByJ5xmjIu7V0tDFU8mnM9tPbm2bBnD5d999dYhk7ZC9k42EdXZycbd6zHNyUmqNHTk6elq0B7U4YoCBgrFzl07lw6Cl1gpioStWxWD1deeSObR3axafXNHH/cCjpo5lsXflc5hU48YiWt01pYPH2OovgOJRV29PexrVgkzWukdkxSjjFtnXIwwX9ddDUff/7L+cB5r+Dkw46m4Fo0Z6fR2ulSLUd8/EsfxS5YuN1ZBS0wNIPVG1azpzzEd359GZvTPtZu3s5b3vIycs0t7Mr43PHA9fzyD7/iwXse4oVnnMaxhx9GrLVTDiJuXHUvx55wFEOj4+wtDZMtpWzr28Xuvf14pQjN8rj0zmtx/CqnHXEmYTnkhS86A38iQM9k2Lp3Gy1mlq9edw3jYZGPffoz5JpCznnVM7hu3UYVLd60eZAtA6MUwpglC2aTBCmHHLKAo05YynAwwqPrNtOzZAYT4xWasxrV4XFmdk1noCQC52mM7NjBvY88SKa1mddf8AkGxsusPHwpLz/vHbS7Cft27SQ7bxZJyxz0XAa7pZUTTziTJae8gBNe9xqK40Ms7O1i3mFH8+C6tdz38CPMnNvG8WcdSd/IbqyOHJ//2Lu47Du/wY90MvlOypHHvGm9POPwkxj3yhTMZuVuO2rpUj75tTfz3De8hyvuvo/N24aYM6OVJK+zfs9mZhQ6ieMBNmzaxwtf+iq+8pPL+MJ3L+JVb3gtR7/wtcrxeMVNv+fw485SAt83v/pJfvz9X1JsGeCubY9y6fW/ZuPYNqY3TSMJfSwh1uoSv9TE/jZJPw1DUoEImO5kXFacZSLG2a6igVqWiWM7ygEovVmpkGjtSNF040g6/AzlzJOYpYghAoQR+quQQMFG9DvdmYRZKC+ROPDCgESieuI6M0Sgs1VfmEQ4MRKk5k+owp54HONACYeuOA+rEbYlAlqk5mU5FrGeV+sR+2XKJYlbCq1WVyKv68i6Shw5VMRgoclK2b8u6GD5GEHERiFPRLoSeWXdZF9EXgXDFmddPAmhECFN9c5ZSrgUeqn0jAl0QYR1W+iwhkRiBRQgIqEtciB+JK67qnJ4ZTPCJsiQiFgWGGjirLQdksAnTnPoukhYkxFhcc85jqbioYll45Uq6FFCKLAQAaVUPMyMdNX5anlGxiI0DOzEVxHWJBDhTfr7UkJdIs9qV6OlLpYvlGGBTOQpeVXV3WYaGdXtJgAREX2E3CuRSgGsNDXpGE6GQMjEppB8dTQp3It8fHGdadIhJy63mGqpTKSLO1LcbmDkMkocdCQGLs5IyyaMYnXOCWxFCctVUTN11T0nx0kALvJep+Agen4SWiH9gb5HGKYKjiHglLDqq7i0Fwi4JSGQOHYCVYFM5Gy0jIsVl5UTUEQqLZPF1x0lOMpvQCusKPKvioSL608i2n6FrC1R7AklYsW2qZycupsnJD/p5vQH0R1LxXudOKE6nlAwy+KRIw5MbHH+OdJB508KaiK4eeNoeqKEcj0KKXkGhnQHSl9kPAJaFjsKsJ0MpvTQuSa6IdFdf9J9WphGQoZQBNhAp5SaJP4Y1ZKIrUIwT4jFPNki8ehUObodo4CWlFUvoG3FRCVx7ibY0iuJhVeqEpSrlEohgdmCa3hYSaiuudGyhh8aGFGFiq+TbXIxxkrKSWlmcrh2VnVwRqGpgENx4lKVfH/qknoVzHCCsp7B8kuTHwwkAY6u4fsRofpgz8HMt6OXhpWD0JDrIpHrVr1l4Js5BvtLVCakt9NAczMUMjqRlsGPnKfqz5eD4+D4u0Z9B9+BBIxaxLTWj1YTMeTxmshT3x8mz9d36tVeWxuN/XciktWEt1pEsTbf2rT1ole90Cf/ai5AEWnU81/5srpRqaf51rrrphL4GgWdmqOuJt7Jz/Wuqpow9CdR7YntrXXViUAj/+o7C2v7t9GhJm6w+shr/frV/k0pvD3Rzyf/xNVWP2T7vzP+jT97TH6u34e1/dO4Tfuj5so81wwd+9/66mpCo8xbXi9Oy/rXyP6vP5b1fXt/Nv8njuVUz9Uek/15oN692nRyXu/XDdpwPtbv29r1MBXcZapjUDvfGnsi/1aBr7Z/ZJmyH//a+PHB8a/defePWMY/U2R7sst+sn1t/4zOvP3R32U8lQLf37NtF/8PO/v+3nPoqVi/p8zJ95I3v4Bsq8MirUXFksSVJ26+UiViQzxKIKG7/gCzTeKCGl4S8ZKjT2FktKhEqs27d6BbMdUJkyVz8jy+c5C5c7rZvLmfI5YuY6Q4QHl4SBEiPT1kdFxuCLJ05kxmTZtBT1cXbc1NbBG4wc7Nqp8o8CK+958f4NJLb2asNMFJxx7GJ75+KaXyOHbOZN6MdnZNlDh90VG8/yOf4ZMf+zc++emv8pnPfoid/Tsol2NFC+wqtDE0OszcWT2T5NFKxF0jO8j4JpU4IDU13vKiF3PrDXcQiTOjFNPVITfxBkfMX8q5r30d577jjTTnLNZuGeDYuSuYNjPDg6s3cNbpx3PDnfcowefQWYtY37+drJ+h6pZZ3LWU9f3reMvzX8Idd9zNhV/+AZ//wge46d4HSaTAvUl6idTephDYkJcCsAzVaAyvGhA2JxiJwYrcfJZ2LOC1n3wf1/z066xZv43nPONkSsWAK2+7nTV7dnDqKUdy/TV3kc9bvOjEU7ji0Ts5YdYRqvpsYk8/vYtm8sDadaoza8miXoJKlbmHL2HnfTuUqDJj5Rze9ppP8P53nUdLSxsTwwOU3SzTejrpyHYwXhpm975+ZrTNZNb0NvoGh5jb08mdt9xBpqWLni7pXSpxxyNbCLMp7e0F0jDijJVHcceja8g052nPuDy+c6NynnWF7bQ2m+wb9si35JVLplsL6IsdvvWdi3nPm17BS178bFatfoj1u4awg5BskiE2Auy2AsXhCVYecQQPP7iBOQu66Nu4kVnzZ/Ks57yc31z1U7LNebZtH1aEzMQxmbH8cCr330N2eg9LDz2EZ77g9Xz98xditJjsWPsIvb2zuWPtw5y+eBlRmuPMF57Oj795CaYG7Z3TOX7F8Vx+x2/Iigsr14JuSf+cuLkMzjv7VH53873sDobodFw++qF3cd2vN3LcCoPL/vgQuwcGSDta2Ll6I7Omz+bc5xyDtngGP/rcJYS+z4c+9C5mzjuWH33u02zs28DW0X186bMXMXvmbG675zra4yKlvVV+eN+N7N20m6eddCL39JUwPIl+Sn5UurgkJhpLhk+5UkW8EUJrjI0pbh6Jz8USxY0wxB1lO9hWqjrIAhGlfE+5+DSJ86bhpJAkJNY4Va43PxGQhoajhXihRE9lGbqKrAqIQVfwBqHSiis2JK566NLR5YlYpyuog6yhLdOLkBjH+GGKlZUoron+RIea6r6T3kBPtdopcIicxFEqV4mAPYT2Kt13GoFmivymxGGpsRYAhQpVSixYIqOJLdlaTEtAGjpuziD1Q2xbyKsWnqxjYuLkDKI0wqtqilKtCThBSKSWQSzdg7hKuJTOQBELpRswk41UnFOEFnGaCQBEoAdxHOM44iILlatMV85GyQwHQo9QYA05VtK1Z0iPp4g/hhBxI+XmHQ9MTNUkaChXXupIX50Qg6VDUSLVITHiNjMxkypxmipashCQ1ZtJGinhyvQ91V8nQq+cC9UwJmNo+JrALEzl1Ewq4kwTwUaixi6uHam+1azEfIXgnAqJVmjZCVUvxHUlypqq+KVr6ySuXOPe5C+i0CPUMzjSoSi9dHZWuf0EthKmAt+QqQRgIqTnEM3OEQYeqWViihKsiyBokzFTSnYOvVLB0CXSLA5OkzSqqni5qYu8a5HEIU3NJuVyCVtzlaBlWRIRj4jHQ5JcK012mdHhyf5CJ5sh8AK1LEfTKMYa+dykwzFr5RgtFzHzeaLRMoYrwreunHoinKZWXv2eyOZswtI4sS77SuKxIkQKDCXC9m38nMSkhT5tSMqbvGswMSJu1QzS6ij/W65D1fcwhTQcDIHVhJm1oKoRV4eILIlES5w9VmJiWrVJshauVibwxWlq4uTFCRvhl0NViVGppLh5i2qxiuFYysEo563l2uQKIaNV6R8dVB8MeKGNW3Cpjo1h5S1ioQkLpVm3McXZmfiY4jQkQyI0YL+EY4SKdCwdkXJeaAKcEUU8FgK0SV4P8aXj085IyaISmA25nmLpw3TIO1XGRsvkWl2CsojDgboGPcPlZ987GNc9OP75cV0Z+3M7yagXxRqnbRRkDuS+anTKPdkh4ojcMNQgD40C3VTLmqoDsPZ8fax0KtGmPn5ZA0WIm28qem5tPRqdeVM5DetFoMbocCNJuH779tcZN5WTr9Gp17ie9WOqaev34VT7Y3/Ot1p8WfaVCKONZOMDCXd/z/h7+/f+lnkcaF77i4o/GfffVNPJ/ERUrZ1//9sdUgfHwXFw/L/hhjzQ+Ic7+SQ2V61GPOaPsoYS9+zeywN7+1i0bBF2oKs4n513SdxURYLyZLn2kbu5c92j3L3hMaZ1dDI85BHlqmzrr9KRa2fbtgFmd3awY3gvbdkCGWsaX7rwUswwS9WP6WzLUhweZdu+3fzqjzfxk99dQ29rll3mGEevPJxjjzmON73v8xRL46xdu4k1a3bxomecSGdnCytmzGciiXjGyiU8tOUxrvmv77GjfzdX/9dl5DRfQQdyGYM52U7e8I7zVQF5OQh5bNt2bl+zheoeH9exKeQdWppcznn52zh85XJWzJ/PW175Ytbu28XS9h4eXLWOF7/5NQousbRnjrqBetsrTmLz7n7lzrnqxlsZLhVZ0ruQk486krnNPWRaPbJ+M49vX4sRadx08+1c+On38r73vQrfTnjRGcejZUzaO/PM7OhSDplCexNdXW3YScL4mEem2WFRrgvxOnTP7WBLdTdXXfFNNu+Z4MOf/gY//sX1XHLllRy5aA6dhTw7H99NoWDSnMty0+pVZEopC+Z0Mk03ac3nyBoFTjrsaN7ywufyvFOew57+CaZHLewa2EPJCXnuKa/gnrvv4rCjj2bhksX0lSLsJITxmP6B3ezesZOgUqS3rcDMmb3kXZMw8Dn1hBOZ1Zln2/AuhlOL15/9KkZGymze2MfA3gp9O/fRk21hYKCPvQNDBGXIRDY2Hr3NTXTmMvj79qp+Jqt7OgVXwC/QM2sWV95wt4r2SbRu1ryj0NwQPW8zODBK07SFDA3spGtWB35S4qSzzuSIY87git9fwQcv/Cb9g8Pk3ZRIT5mZ1Rlefbdy8+zs26cEvu9e8G5KoyM8/9ClvO1Vb2BirMiKaYtZtvgQ3vuRT3Pf1fezeNYsOmb2EDoRtz14I9PTduYumcnJx6ygp6vAZ770A9zY5Mr71xF12xhlC8tv5he/vZVCl8+1t+/BaoXFC+bTOeixYPFiskGZG+4Y5qff/TXvfsPr6Jhe4NvfuJS4upY9cT+f/+bXefphxzL22FruvegSbrvyGq658xZ+8+CdjJTG6GyZwX3rt6CLaqYJ3DXCdEU0EpcbpELEjTUFIonk7UGEEnH3SazXQIkAidiOEqHMCmhDx4hCTBFbDBGI5DMDATVYpNWyiuQlsYFrJ1ipiIoGtmkoF5hE8JJYHL7ykojYMQkkxigOOrugiLgi0iDQBemmS008cQ2K8JYRGYvJ+K84yWIhBstyI4LKpNCXcQwVnRXnl4iC8jqJcgoARCKVelBVTjxTxErdQLMSNK8ChohIthJ0xEkn4pop7wmVUDmg/GCy60zcuqYdqYg7oU5TQeARAiqwlBtNC8R5KAJahTD0SKVbzpdu0oSg6mGqSKIIqyK2SUNciGWKi85V4AKJq0qsUiyQkYithtQhCoQjRosMJfiRmgQSOU0iBTfK5VPlwkw1j1hPCSsJcaRPOgOjmCSVzjXZ5xGmaWJpEp3OKtpuUK1I8R1pJLAOk0iIu+VwkghrTwrBRiBx5FT1EAbS0+ihOhQtMyb0Q7IFUw6XIinrpkSNRXw1sLMWmkSNUws3U8DKZTCiEnqoqfPByLVgZiWmKbjaPLFAXORb21ZRZs3UVYxUotapkyH2AyXAi2Cray66QCs0n0DOxzCUEkUlxJqJLgwhQj8irVYF0oqp6M4ZopJGGGcIEw3DLyvHqAjGbtbEZoLA0zGdPGYiFOgqTsFWMW7fMsnmTNVlGCWGgj7hWpPCWkEKHl3VkSjiV2S7+NJVl/j41ara/6Z0HIpT0hGoRg7dyhMXJKKbYMYGth4QFH2KYUDGtECAJ2mkaMeVakm915neBBnHxZaLoGoSxVUSPU9zxlbXmQiDObkmc4k6j8crJpm8Qz6jEfglvIpDlGlX+rGAUsLYV07MyVh5RvURSix4omiRjYZwRXhGKMbjBNUqTjaPLa5ZzUaTKHVSUZFxrVLF8GRbA5JKESlClb6+1POJDA2ruaBixvgVBf2R7Yrl+pLroDymnJnywYPm2Mqdiz9BJc2QsbKUxYGoWaTZVkXCzonj9uA4OP5FRs1BVe+kmmrUiLG1fyKO1D9WL+Y1urUavzYKX3+aXoSSesfeE448GTURZKrewPrRKJbIcsTpVnPi1bsGG/dDvcBXT+etp8rKvz/Rbt/3/j8T+GrPNa5nbZ3qI7/1TsDac/9tnaYQ+P708xOvldfVuxnrR80JWNum2nbUnJlTTV+/P2qAkfpRg3vI8yIUynbINosYVb/ttdfWO/1qY39uwb9m/LXi3JRdeH9hHo3nWc2dOWVn3xSPTSXc/bd1eOIcmmp+sg8PCnwHxz97SPzybxn/aCfe37qe/0rj/7LA99eMp0zkCzwh6glpMyaYqNKst9DW3ssdq1dTzovgYxDoEXndIXU0Xvi2t0PgYkUpHbk8j+7YOhmnC20mKlX6q/vEx8HuyiCzWvJs37WXtdu386r3vkDd3C2bs4Cc6VK0NeZ19dLV3CE179z8wEOMbatyxU23sH3bBjqbO8jP7eT7P/4V7Z1NTG9t5mNvfRNHHj6HiRGPPzywnpecejrHth3PwmmzeN4rzqW1pZvx4jj946N0Lurh0xd+hqXdc/CqRd798pfg9Np0z8lhSrdTOaVUCXnuK8/izJMOo+yXufvxR0lLcsPdyte/cxFtZYuVKw7nj/c/gqVrnP/9i9m8bwcVI6ApY3N411w6Zmb4wbWXk7QLVbMJ36xy+CHzmDm/i8Gkwote+UG5G2P3zj6ufWgVPe3tVKKKgpc89/CnMW36NPoGBhk1xznj2MXMyLXxzCNO55XPeDktWguf+sLXuPeeDYpceN1PfkRoewxEJfr3lPC8Mnv2DJIzTPoHx3nPK16vEpz3bNnC69/xakoTPjc/eAfX3XYTV95+C1deea2KUe/atJ3QN8jqTbzvi//GRT/5MnFfiUfuW0tPoYWzTjyFCy78Iv/xia/R6pqK2rpyxWzG9vYzY/o8Nq7ZwfKjjkNr7WTZ4mXM6uzFbx/gaSccy/ELl3Hk4iVsnujDac9y9glPpxSWlVupb7jE3EPms31fmbGidB86ZFqa2LJlB7N7Wtm7/WG88SGOP2IZoxPiqvLR4iHmLTiBL33tx5zz9DMY61vHA7u3MD7cT//efq678WauvPU6vMEhPvnht9BccDn9tJdy/HFHc+67P0wcprQ0t6gus8986HXsCotsNX1+esXlfP/Hl/GJz32XT37hmzS1tPLV976XmT02o8b4ZK+c+KocnwVvWkazPo2h4hjFYpVHb7+bTJOJq/nkYp3NA7vROwz8kSJ9e/p59TvPpzNtYvmCQ2jubufMlSsYCUP6xx6gS8/xsc98gaEtg7zpzKdx7qs+xIKehVzwbx+gGMNvbrmNn6y+no9/6Tu4lTYeG9zJNG06cYfLa88+gdSTDq2AMPUnI5NC1BATXyTwB4mKxrjS6aiLf0qpgYSBRiICmnTiyX9aOnndZ22EyJFI3FcAO46j6Ky+00wQW6SWCGOTYloqFAvxDMrfraEINaGKLSa2rQr8BZYhy5MIoDgdFaPXll63AEdLsRAhTacyEWKI+CNONwysNKYYihtIBJ8IJFaciFg5SeAVF5JALERACGMhYUgP4aSAJ2KMOLvSiq/IzmopZemGm6QLS5RZHpMIofTzORlj0nmoKL42oRxjIdKGAhQyMQyDcFS8y9IR6BKnIhqJsCPAEpSwKeAEcYhJzZtEf9W+NjJgiiNQetkKisabSm9ZkmKJEqrIwRVSL1LiiFBBREwUiIqIXLoZgSe9gyJOu2ixpYjcmorWyutFFAwJy7JhMUEQIGlbPYiVo1DilqFADkS8tUScNVUforhOU4E1qHir9AoapNWKip/Kc2aSwU8NMgWJwJoK6iGglqxpqKhnJMq86H5hhUQclnqCFyR4oUXsTva/Ce2YSoUwsYmFnqrrVBOJjOtKzJVz02nKENsF4ihSVGO7qYUokHM1UueLCHly3urVcSzZF4apoCHEFrrp4ubAbC6QlWisViZ2dYQTIsYyR3oCRYgSwPK4B5GtgDPNTohmiuApH0qkkx2B0rlXcNBUZ1+iItF6xSP2IqJySJz4CvxjxBJr1dDKIZYjImSCIQ7GIKDqi7M0UlFmEVwNccKKiisfjMQmzZkUo6oTGjnMvK7ckkEiYJgsQVxRQqOcN+H4OFE4qgS5JPapBqE6T0VcDeQjnlT2Z0gum1Ae8/Ek3mu2kLN8RUQeHxcxNSWbLaCJu9BsotAUYjQXqFaKNGUTNKtAuZoQCTUmk1edkromwmaWjCnXskZUrSrh32hvJcrnlcBrxCF25CtCtrwnGH6K5pVodhKsQk71cApgSYTXxDWZ8FM8Xz5UgHLJJ7V0aG5W2xiKaC+OxqRIWi3hRa6qADk4Do5/9qjBJw4kbNQLTzUhoibaNJJVa6+riWXytRbVrHdM1Qtfte9FIFLTCjxjCuGlftl/qcuttm61+ctXcS3W4sS12K6KHdeJLvUuv3qYhQzpt6tfbwGFyJBIpQiUNUFPnpNob23bazRi+bmelFrv8Ku9ToZ0CR4o7inTNkZEa4JjvVha2xeNMVLZjgMJpbX9UVv3+scbBar652v7pH6f1ZZRizw3Tt+4zAONP0FCGta5fnufzJDpa/uvft6Nj/3puSeE3PpR74CcSqysn77xtd/eecN/v17+QmdhY8fjwfHPG/+IuO2/4vhb45f/aMHqqYqxHrze/vmi61NI132+Kuu3IyhKnCpKOLRzFo/270BvsbFCjSAVEQAFy0iGI9VfJaTWrrYW9gwOorfodNFCteJRCSOOOWkZ21Zvob9YYkF3jj0DCaHh0dvayXPOOpVfXfEHunrydLTa/PGhbfz2kqt52ZtexMmLDlVExr7hMbpndTGyazuHH7+IgT6NgZEJ9uzcxGC1wvFLD8G1XTJujj1DI8yaM5uM73PD/Y8yY3qB7QKiyKQs6zqERzdspyWXYSIYYZ9XorrXp601g95iUhrwybboPO3kk7E1m1vvu4vxUkV1hj3r9FPZsns9G9ftwXAEfBFxxNEzOXHh8WSdJnb07aWyaxdXPPYorXmX6fk22nva2Ts4zNJZc9hd3sfax7fznBPOYjTpY6HZijOrmytuvJnBwWHlhPnyh9/CRT+9kT3eXtUP9szDT8AsVfnNA6v4j3Nfx29vvptsqnH9xof442/uUMfrda96GWlHQiDbUo6xCy4FTWPfYJVzTjqR39x7Fys7u/nYx97Bxd+/hl/dfRdnHnc8+8Z8RcjcO7ydTJvLwnnzuf+OB1k0ax4T5VFGvQle8qzns29wN6NbDPayhvaWLJu3V1jcO5MRvcIhM6bzzrdfyP1rbmdxW5YPf+RLCnBg5XW00GR2dztXP7iauc1dzO7qYowqX/7SxXzhUx/gQxd8id9e+R1uW7WW1tYmzJIIx2UGggxadZQ9lZS2vMHz3vBhPv+pdzB/5kwcASck8KVv/Uht+4ff92oSu43p3jgjbjvZZouRPQP0zmxj7+AYxX1jtE7Psm+kQppY7CvtY0brXPLNJp1pjiIlzFyG3X172DMyQW9bK5//+Fvo7HkaH33f6/nMV37EDb+4iPs3bWBmRwe7N24lyJkUmlqlmY53fvBCPv7Bt3PhFyf/WD3vdS/l6K6VbAjWkbccZrTMJXV83vm+T3HlJd/i6ltu55JLL+f973krixcuorPdZuferbz2Rc/lP3/wOx54+GFmzJvLitm9bNq7i8997cdqvue/7Vy+/cVP87y3vJ1m02I8rrJw0UrOXDyHH9/8KImpo0c6sV9RDj0zSVS0Mjbk8URFaZUYFkgkTzSIWIEKhO4pmpEINpq48SQtaUnET4AVojBIT56lnjPCqoq4C1bDFieYqVH2E6xE3F8yH+liE2qppYA84u5JUmXAVMKgiGeGOAmlw03ELHH+2RZ66BEJjEKYFhLVFMCHrJPhYJspFS9ENAKJDIszTXrdQn0SZqEAHJrAHEQkNLA0ccKhxAvhlipiqCbKVkrkTZJDpdsyUbHUCrlsVr3X6eI0FMFDnGFVjcRIVaJW3E1GKPvUUdRcLQkUvdh2RSQ0SQIRAycdiKKbyEykd02zNLWtIkz6EinGUhFleb0XW7iuYApi4shSzkZx+fppBd121HbFvo7tyIcECZ5MY8Q4Qoh9IjIt2zdpldJVHFRiyWII1P1J56IhookIvEGgiLySr0ykB01owaobT1dCUBwLjGUyjiplcn45wbEkRixiGGjSu1gKlDhrmyWiOINlJXgVn0zGRdMkgmsoMEcaG5itrZhjQwRmVhGAEUemOdkDKGTwVBx+xTJ21oXyOB7OE5FlDU31SsYKOhSO+WQ7XZKJcfWzxMLFaSiitCXiZiqCpWy4dMj55EWw1FUQFk1oybZJXBzFMFxFNk4zWSoSyRZIhURHnRhTnJZyTCWSWvbUMnJuTEgWxwyVazUMLewWEc9iBYAS56ZjOpRKMW5+EuihSMJKWA9Ur2yms6D66QyviBeGOMkkaThxRFyLoRJRaMkSVjy0JherOoafZLGbbSiV8Oycis5Lp6OTjmGYDqHhYpgBcTHCbJbuPke5p0Uc1hyXnF6mEmUUWCfWM1CZUEI6lojQtnLGSseflcuShrES7WJdV1RrLYkme3S7eqkWSyR+gNPikpR9RcMWEVvzJ8g1WRSF+pztwAlG1bZoeg49qSjhOTVMFYM2BFCThASaQ1OzTRr4eJWESJZvWNgZl3BsnNRJMH2DUFzDmQKXfP/bT8WfLwfHwfF3x3Xrx4FccvUgDYli1kYtolkfOWwU9Q4Ur32ykcknG32cShyR19594e854ePPVusvrr56wEdNrBEhrv41+4Nu1D/fuJ0iJO0v4rs/gEa96DcVVbZ+Ho0x6pogWVsfEQprXXj1N6v163sg4m/jsp8MQbYW232ydN79jb+G8PtkYRqN0+3veNY7JfcXZ64N2Sdvb373/9/h1+CybNz3jc8faDtl2noxUM7J/02EzYPj4KiNg+ftwfFPj+umTRlKA2UqJhQ6mtWNa/+g/PGfMN11kSSQG1rkXBcz1rBdKY43qJZ8dg8Mkgq5cVRj545+gtBjTmc36+5dR6hlmN3aTf9QSNEvYjmait5dfs1NHHv4Qnbv87ll1VYcU+PfP3g+VmTRV+zn/q1rWbN9M04S0jtjHlqlwPFHLebsYw+jKWuzYEYPc5p6OGzlMu56/GE2bN/Oytm9/OHR+ylVJhgbl2LwiMu+9Wt2j+xmyfx2snqFQ5cfS1s+z/RlLXQXmoi1mGefeDQzZ8zBmigSjVco+FkWL1iEE2S5+bb7mN/eSq7JxAqaufCNb6bTauW5L3wrpdFdLF/SyTs++Q2a23LM7ZpFSz4mHavSZRYYq04ocqeR0bj/0dW4oc3vVz/MTXc8hFGFG395E26zxee//2u2BXs5a9nJmLGFNxTzh9vWsLB1Joc/4+XMWdJKYktJvcm9t/6Ci7/4Md745lfyqpe+hXang+ec8DQoR0QYVMOQ369eza//6wYu+OZlfOubV/LI1p043Q67x1rZWVzHUNiHk81hxlk2PrqeGb3TCYwyC45dwuKeQ1m8cDq3PPIQw8kmRsYj9vV5ZB2L8bFBjOESLelkpHb1nTfyjgs+RZyEtOUzqu9r6eHL2LZzSHWznfPKcxiPqpSGS3z1GxewYdceXveGF9O3q5+cHXLBhz7LipVLGJEIXlri8OOPpztv8dpXvJprL76QsBpQHS2R023mHnMiL3vRi7jt2l+y6OjjeWDtaq7v28Ujex/HjmKq3giplqW30E1vbxdHHnsSxy1fxo9++Auu/eUtfP97P6LH8zntJafz2nNeAyWfzuYCi6b1MqO9Swl8H//4u7nwg//B1T//Pqs2b2Bux3T2je6jpWeauomdKHjEE+Pc9eA1SuC7/prv8/lPfoAjZs9lzfjDnLbwSFqddoZKu9k21MdPL/saL3rtO3n1Kaeq/fXlr3+PXFjm1zfczvSm2Xzjsjt547vewwVf/xgDA9vo2z2oCJef+cTbOecVz+L4Zx3L5d+9gXe+5JX4eoRXSdn6+BpWbXyUREvQxTUkTXhSpp8RR5oQcgWmYIBjKdFMjHmJJjf9qRLd4kSig/IyUf0EdpFRgJtUeuyk903gOuIeUjHfUMENJN4pIlsahPiVGNfQFHwhlmmNPIltTUJ5xB2YasQCdkgMHHE2xTqxqZEISEL64bK6pBeVOCgakzjzBPAhjymXYOIp+rUtK29ZKNVJ7GqC7DBcRQEVUmsiEUFx9sWyvFh19Ek0WVxb0u9mRL6iibr5nIpECrhCdL98cx7NNhWZV0TARBMggqr9w9BStTjDMfBSHc8T+qtADsSBF6t9J/OIFVgkVn1yjjLoidAiQlA8CZbQNBXblB67VEjY0qMmE0pXWpwj0kTICwhjD13EGSHUiitSjxBroIhfTl5inhI31jDtFD2R+Qo8QtxamjoW0nuWESFPegRTOcIi8gkt1SEjYBZPxByhEDvEuohciTrWKl4aR/jSqRgGStySYxBEFXS9TMYLVEehbflEsaievqIf64lFGMQEvrgoZZszGJYAKMoEAinBJxLIhcQ4FbBlkr4aC2xErHaRR2xnsHOTTkrNMrAy7mT0uzRBakSUxR2oF6jqQlGeFPhEKJY+RF9AH4mnHKlZ02RCICoZg8iQUgOPylgZ3XUJEodSZCl4iJbm1e+bXE4gIaZyfAosCYkLy++6NktdM7ZRFV8mui3zC7ACn6Ai104GK9ek4uSGdEtWUeASQ84fIKMZtBZkvhbhcEgUW6DnlHNNBD4RUl05T1oKyqUY25PXQmA1k2Rb8fZFaKmNIaCXNKHJHMWy8gqAIs5LS669pmbi8SppWMLSK9hGgKnFlMICpjoPQty0RCgfxIlwnm1GN+T3MzQJHEpi3ElMKB8C6DqOdGO2NKtYdVgcUtFzI9dMOjaKGHtdIWJnhNAt1lf5rWLjSFw5tgmsLLFXJNKlO9YgYxvknoi263qE7RiM7RshLkc4GVPVAEy6NEcIxUGsuUQZ6bDUcdNJqNbBcXD8s0e9e+1Aj9XHXOV5EfZEyJJ/Ipg1ihb7o8bWRmOsdSrnWeNoFLvqnYO119VDQepFFllvETVr85Dn6ucnEdRGwU9eM2PmSeq5qURIca79mdvtie9rwI76MRW8oR7KUROG/pLAtb+ob/1jNTGp5lys7av619QvRz1eF5NuBFI0CnxTxboPJIj9t23YT2R1qqEchQ1R6SkdiA37ot412Thd4777k0uwToT7S9sj+6Q+8twYq250AjU+XxNlp4owy7Ty/J+5ZP8KKu/BcXD8q4z/C8L0gVx9T5Xj7++Zz/H/YHdpzZ33P+12fMpEvuruCfLZHAxXqI5MqBvYalrlkNmzKUrVeQQd3TnlVPGHQwqWpUroF8zqJdVSzjz2GFo7W9HzDi6t7BocwI8MJrwRtuzcTVN3FxnDwkh1Ylcj8Hz+uP5hysko7dNbGNtbYaA8Rr7Z5jMX/oCfXvRbrrrkx9z7wOM4hsng0CguGfrlk9fhEtsG+vjVg7dz2a+uI4l1/CTg4pv+wPTmLrVuK5ctIDRCXvL6sxkcm2D19u2cfNqpfPjfPoxbaGJ8wqeYC3Ftizu3rad32gyM9nlc//j9DHjDnHLcSt7ypmdy1LK5jPT5JLHN21/9LI56+svJGi387pdfxyODliznjDNO5diZy2kumOz1YcfIKJl8E+XhIp0Zh2svuZETly1hz8AIHR1NSpwpkHL+e9/DDLuJoWQQfSTgtgfvwBv3ede7nse5L30GX/nWxXzx2x/nutvuY/vAHpYtmMNxp72cN37w05x46vP5ylc+T4ebZd36LfR2SkS5wlmHHsaXP/xB+jfdzu+vupp3ffqLrDjyELoioRDfjuEbdDiuoveODu4j395EmI3xhhL2Pb6LPcU+DjvmhSyZPg+/arNi/myG/TIveO7x7Bkb4+hjVlLIOXzqw++iNDBI1Q3onD+dca9KqVxm75rNHLb0GN5w9nP4wne+w5K5XbR2tJBMVFg4bTFHHX4ke/d57Bss88CmB/j17/7Ixt0D7KmMsW3HehYuPIRlR5+qHDpOs8n8JXPJ986mOLiTs045go6ONhgaUqKBremKehkZOk3tM8gvnM7g6Dgt7R1cf/vNjEYhl/7wh1z9869y7y33kG01uf/We1k/sYGi53PYsiUs6WhW3VDfvvDfOPmUZbz2neczOtLHy1/wbOLQZk7HbLwo4Mj5C8kO6rT1TGd07yif/eK/s+rmu/nwW1+szqfe/DRe8vb3kgQlPvnZ79GbK5CUA955/ks58w3n87NLvsFLXvFMwgL85Ec/YOWMJZz7vJfSMW0WvcZ0nv/cs+k9pJcPvO8N6HYLrznnxfzk4iu4fP1V7J7YTEa3ePphh7Jkdiul0VQ56kxpahNjl6eRVmM011ZCkGhropAIcMEWwq5EXiVfK11wlkFoupM/i3QWintIXHAaoRWjGam6UbcdcZdJ75uB6QiQwiCRDjEhvIp9TCQlcYcJFTZO0YVOK51polOZoqGI80rDMAWKIQ4/oYyK6GcqB2GsZRV5V6KAriuuI4EmGJPAEN2ddBNJ8lHESJUyNSGqTDrW9JxAXJVw5QjNupAnkX4v3SYSV53sF80liHWqlZAw1rGzkx2AYdUhqExSXxWlQzr/xG+nGyoKLwqonKviwTMFJmBp2LauOkuFdpuKwKUlyjkmQe5EXJF6qJxR0q0ngovEZFMjxs1Ip50Qd/8/9t4DTLKq3t5+T67cOUzOiRkGGHJGECQISjJgzunqNWAWc1YMmBEVAQPqNQESlCQ5zBAm59gz07mrK578Pb/dHL6y7UFUVO79z36eeXq6uuqEfXbVzFm91nojBZapB7JeQwwBj9iOckgSe9h6hCagCungK/kKWqxJ/5uvbIZqfgVcmyoYhHItJZItDr9YI6gE2CJOSm5VRKhQwxMBUTruDFv1IQZ6bUwYFOEpEtdkFcuyyJkyxyahdNDpDrppYWkZypaDJZ2bsXTFiYAFujjAdAMjk8YQiobQaR0BRAhxXNyagRJIo2oVXTLMuq3mzEwLWVee41J15XACSXljpDJk4yphWCeQ702brAVWvUTkVTADg3oga9FRPY01PyCFCHQmGdvDc/JjkfCKNE/6CuyStqwxkTYqkbZ9HCur/m0Soqs8yzQEdmJj5lKK9ItvUi0H6nhFEBWStF+roLsRFddQ5yzzpUvkOK4TWh6xPRZbD6ISYb1OSTcpxlm0yiCa6aM1iRhro5kOcX0sHl4T8VxEbAxM6foLNFLypquPYjdnCFMWYla2Y5OarxGkQ0ZLVbKpACNlo9dLKoYuvwCw0mlsPU0YipgLWnMBR7or/Yh0QZygaSLpy4t8qpFD1ddoT4cUnAA9XyCux+qa+cUKhlZDExFOIv2VYSInr/oCRdYLyxXV1VmpO9h2SL1aI5+NKWQNDMlHe6PYcUS5WMKLnujgs4Sy7JHO5Si5HtWqhx6FVAWs47RiCphD/t9gG8RWmqqWfqb++7J/7B//8EgcTfJVortJfHcioWkiYEVCz210xDWKbuOjlPJ4El2VSKsIMeOBHPsSuRJBZLzzLYnKNnbeJc9rFAwT52GjMNh4XIlzqlH8k3P+6RVfmxCwIOJTIgT9VW9bQw9e42ON85d06DUeY2O0aSLya+PjjSOJDo+P1CbR5sZOvOS6/NW1aYhJJ3O4r/3JXI6PXifH+nS69pL5fPJaNrjcxoujE91I7kuE/ity8NOIASdCxNN9bmOs9+lQdMfPR+PPx4uN44W/ZF3vjw7+a8f/qxHcfa2r/63z8XSiof/Ie+mpIsf/bBw5OeZkO/9IvPW+v0H8faY/PxLh9l8dxX7GRD43jChXpPzbUGXxdmhSNqrsGulTzp9MxqFU9tHcWN30Fj2PyA1ZtXEbQS1kbc8Otu3arUiDXr5KVyZDX31E0TK7O5pwh0tga3RYBbYND7NjZx9eLSSWKOGATzplKedWtVhUx3PeK8/gc9/7CqEV0Ds4oMACm3v3cuuN17NwyVQ6MpNZ2tHOwkmTSKVgbvdkTl14KHrKoE9zufGhu+k0mmnLt8odKlZs0dvTx4WvfD7lraOcNHcpRb9OcW+VOjVWPb6ca6+7lmqlRlpv4w833MZzn/cGNq/dw8yZ07n2R78jsJvVDdEfbr+b559+Ni962Tt470ffjtFiUB8doRyGNDvNnHnMMu7f8CgPr9vEfeu2qvO5b90KJnU3EVVMFS8dcEfp37OOVz3/JZihTTn0mDV9Fu2FLj78pe/xp/sf4rF7r2XZ3FnMmT2bU055HicdfBhXXfpptb3vf/9rzJ8/hdy0Fjrb2/E0j87mPH6ks3bTZvKaxZknTAMG6e8t8fbPvpViqUQ6b7Jj7yBNcZpKYJIJ8swvzKA3GqFpSRepMMUdd/2I+ZM68bNlRqsuZx9zHDt21rjowgvwPFM5uBa2T+PopYcyv7Wbl55wAl/76uuZRI5znjOZdbse5fH+7XQ3p7n6D/fywOp13PjIY1TjXbSbJg8+/hBD3giXfOyDdLdneM6hyzisu5v7V61j044NsGcdC6bNZkHHNIZ3bWP99hW05y12Dw2w+MhTee1/fYwTDj6K58xazFmHHY+FxeymHFv+fDeT8ymqYUStVGHdxs286nUXsXz1Bnatf4w/9fSwZmUv9/zuYRbPaGbFyl285aNfx9DTeKHPY/dvYcHCaWzp7WPukpMJjTItkw+hUq2zumcbbS3t7Nqzh2//5Ge8+aVv475NO3nZez/LqnWPcuCCbpb/8ocMxQHveu157B3qo1QZpSXTxm03XEnvzr18/SP/rXondz3yEHNPP40vf+/zXP7m8/jAdz/Kb2//I20taa666g889NhyrrvhBoxcneHSCL+66XaOmnYI20aLGE0OG4rblctHpTd1DcmRxiLcRjqGEDEFj6FlVGQylFxnJDf2unKCxrqQcAWm4CjCqp2S7jPhP0SkpR9NxAdbU2AEFRKVqK4n4puHOzqKF4lrzle9dkEYYRjiahIKr4GZTomBEEtItKq8LlDRXXGjiZQmqcWwXlXblcilwAFEZHClSM2Q2KV872BFHrEXooXidpNuPIGvCIwD1QVn2AGmQB0kThnEuNIFaEhr3hiBV1RLEYEDXcO2IgzpQRNHXeBjmNIFaCpnnwikIpZKN6AZh6SsFIhbT2ijlnzVkA8XIZWK+0vosdKBqMciNsnpxQTiehQHoilOQwcvisfELc1QIrTm5EkZsaLROo6IgDGWbhKUBR4hEVmJYBoqVizFC+I0s0SAIiaVd4gjTwltmVSGUlEiu0LYlR49cbgZaJk8fqBjPuEGFFejY2eIw6oKXQqh1Qxi1TvnV33l5hTKssSMI+poEsGWuKclHY86geti20LltQjcGCsqK4BKWBPSt0+9XMKviJDp4oqQI9KVKUCctFpv0sXnVVxqEpMW+59vkHKMMchJJoNhyNwEqk9QczLEFXEPCr1ZXJU2nuqjCwgleprLjbkTDUvNZ2znSKcjsVqilweVaCWNk54fkUnZOCJQWyGOoSkxqx5WMSgjLZHi9NQ1k3pQIfJMtCDEE5HSMPHLHq4o47EQcW3yTSkiwyKdEcdhjVq5pkjvuXROXWtxtcp86E055WrPmDW0fJMCvuiDZQy3iGFKP6MsMAuzWCYcHZsv6ReUN1xdk7i7ThTUIDBJU6OGhWnY6LWYzORmgmqAX5FtNYEXk86nlLuwKmtUXi+C8sgwFT9FqpBTQlvdrRE4GfXafFbEO4/+EYOSmSEcFbHQwHNyKmpfcqFe9Ij1lOoBTJtjIn8ohNxIhPEMrvQlajLlOkMlg1rJU+9do7mZOJvBTokj1sBJW3iuhmnZaH5AtrlDgUx8TAptaaLq6Jig7zhotTq2EavI/v6xfzwbRiKYiCtJ/kzk0moUIpIuu/G9fIlo1ChOidspEW1km+L4S2AM8jMRBxvjwX/LxTceIpFsJ/k+cctNRPiVGyF5XITMRNRshGhM5PxSYtwTgkzjsV30+nc+SfttnJ/xTrPGeZT5SX4+0Xk9KbQ9ITY9CRkZJz5NFDPdF0QjAWKM78STOUs6EycSYhvP6a+ch++5+K9gJONHcp6N5zpepE32oR6fACYyHr6SuN+SPxMNWV/jX/e3YDLJTfDfcsol5zJemN1Xv96+rmPy80TsHr/9xveYAnxMsJb2j2d2/C2R5P/qEJFmIkHv2TQff4/o9XRcg/sSpv7Wfv5Vwuf4Y/57nI+vf5pz83TFuEYx8NkAMHnGRD7T0mmZkqUeBVi6TSFdoJDJkMlbRKWAnm0jDO8tEWY06kFAqtmmWe7otRg39pjb0U1TIasKxrV6yMaBfuY2dZHWbLqnz2GkOEJXyzTijjRHzlrC3APnYpelpyrFwSecSrbNIpPvIDIMXv5f51L1fS55z1foLkzmvLNOYFvPIFdcdS079g4xNBwxUusjNLPsrhRpa2mlvaud39x3O0NVn+cefgiLW+fQPKOb6d0dvPz4Q5k8awq3PP6QEvx++PVPsLHcy40/uAkjbymIQE3z6WrJU8jmKZlDFLIOP/zeN3nvf7+YumFz+3U/ZteG9fzi59/hJWe/iM9dcTmf+cQbOezQBVhhxP3b13PGccuY0dnFS173If77JS8jLR1RBLz6Za/myst/y4GTZtPR2k0g7hVfp26HfPOmn8KATypv8OjWjQTeCG7RI2XCXfeuoVZ0iMoxW3at4uyXvI1Xvucj/PQb32GaOAX76qQdk5wDLc2tFNIZXDPgY1/+Lqe94WI+9dXv84o3vQa/PMxX3v9T3viCF2KFJkN+jeFqieZ2izX9W9nYu03FAHet66W11WFkl8Yda9czsK3MsDvM3t01+spb+fkNv2T1mlXcfd99aB0mNzz4GO9+2WvpKQ+xbWPAlFlzmLrsBbz/jRfRGVgcvex08lMc5TDKtqeo1hx+dMct5Be3U40CcjObiXDZNbKXvb7OogXzmdo0jTd/7gvc9fhy+qtVFs4/mMUHzeC++1dCOmTX6pv56rc/QMrI4Wey5Goh86fPY7i9k0JzF0E6Da7L1T+4ntGwxOcv+QQHLjyIR9c9xtFzl7F4/iRGSv0ccczhqjhehufsph6ZVCUm6kdMzmb5+PteT7UWc8/917J37yBLDz6U17/9/cw/YhELp03mG5d/nc7pbYoqfdpp5zJYqhNObuO4RQvYUwv40Bcuw/cNir7Lj371e3RH49u/vJnXvu6TXPW7P/Gx97+F7lwGd+ZBTLImq1jo3pzBvMXTWXbEIbz0gguZYc3klc99IdM7W3A6U3QWMiw7dhla1UIXEIoldNAIGyGo1sVXpuZT1njkB4r+LDAc6eszdBGixL3kqQidOGykE65el66vMcquJy7bUFM9agrKIDf9AtZgDBKRTkuXmji7XOXIE0lNHHoST7XSlhKU3BACgfMI1MYQyqy46lAUU2U2U8KKAC3E0SeRRKGH+vji9NOEJOupiLA4n2xboqpjrkERCiWGqwtFNjTxRHmQY7PEHyWnJW46f4wEqoUq+qtEzRgCt6REolAfg2VEcZ2M7arIrri1QldgBlkFlBAKrDi68CUrWlf9dkK3FYqtbdTVvgx7rEtOBESh9qbSjroOUponDNM4quP6Is5JXLWujkf62WJPGwN1RCFOS2YMCCG/5DBNMmlxoenKQSdzINfQlwh+LVYONuIaaTskikQEHANxSP9dHFVV/6AeS7+hrc5ZiuzkFPS8rrpNFYZZOhbFXSdKqW1geKgorq2FKloqUeKMZeI7Nu5oDd2tkjKFpixxVR0rrOPkxb0YqOcrIVSa26S/1ZfXi7gGgZFSIrB035UjDVOOUToM7QJavaZ+Lschkm4l0IlTEi32cGxdxc1TIhQaFr5m4XkRrohpuo/t2DimiH9jMfJQHH61mnKEChG56nvUYwE/Qd3Oo6X1MXdqZYz+7NVjtaYysq61J1yIQUkJ0mQlLluj5rsUq2JHlD4+l3rZxZD3l1ZHz4rAK6KfrsTHINYwfXes504zlPMzLVF4I6Xc4aY/TFXeSwJ1yQo4xCClhUSMKMHR9XXMuI4XG7gSpXVj9csq17SU+MzwMJ5m4MdpfD8gskTcS6vuyaBeJpbrb5iEVg5D0xjqL2JK/2AQUYhdNInfhqGCqWTbpROxTJTKYSrAR0BzVwvpnJCBHRX9bc04DAucQ6LRsUO6o5265uBoPiMj4jCtqPe7YQbKQRxVimQMn1jmGI26kHhTBSWCalaooB/iZjQiF993McUZLJCWUYkHa8r560dyovvH/vGfHxMRXZORACqeSmBojO9O1Ccnok3i/JIbpYRwm7x2XyLGRBHNxueISJcIhImbb3x0VtyCiYgnNy0JDXaic28U7SYajed1z6Kxc5hIsEtGAq6YSKRLBM/G80/GeLFpfMxzIodg0j8oN4iJsNV4TI0ipOwzmc9GR1wS1x3vkmuc9zuti/5CiEz2n7w+2V8yr4nDcDygZV9zluyvcbtPHtsEbsrxY3wHXuP87Os1T3c0OkX/ltP1b11HGSKUTuSOTbYvf2StJsfe+L7ZP/aPZ2o8mwS9/2Tc92/t59k4T1c8w3PTKAY+G2LWz5jI10oboyM1RSWNUjptbXn12/ms5eBk0lhNJm3HdConwHGLDlAk1yIBmbYchm5z/R33MKm1hZytc9Hpp6ser9auHNV6nZ3bN6I16wwUd/Dlj3wLo1ZnaO8g7ZNbOLi7mVe85jXEKREYRjhs0gymZlpoMm0+/Ym30lcu8ofbHqS3vItFs6fRlMvTN7KHUa/Gyt07GHCHqNYtVmxeSw2f6kA/6zftYMbiNnr6enh811Z+d/+jbN6xSUXsJjtZmqZPoT1u5Stf/Bi6OHqqEVFgMiJunaiG5wasH+6lb6CPd33+mxx88IEMjg7z6rd/EM+NmTWtjVsfuI+N23azdWA3VmSoDqstO0PWbNjMz777eXb07CbVkuH84w7moNlibR/hqKOWcPBB08YicLa4/iapmF9oSl+YwWGzZtNs5FWZ+Z7+CgctmsW6Lat53QtezHFLDuTmn3+Lu/5wJUFrwOkvfS276r2sfGybchet2bqd1Wt3sWLreqbPb6WtM8vBR87ikre+UsU0P/CR97Bw0XxcDObN7mJq91SWLVhE3tE5/PBFzOrsosULGSru4YBDpjB7aidd86cxf/pc9OaIbKpJKrUYqQyxN/L580MrCIoxr77402zYsps3ffxTvP0DH+MDl1zGh778Mx7bsIPrbvsVXkmcNxGV/iqbBjfT2dqFFkr7FUQ7Kzze00e7Be15h+YwZtbiqXQVprDogNm0p1q475H1LL9rE0ccvogHVq7nJzfdTN+qAYojw2Q9n37fo39oPcGuHnXT+44PfpoDjz2Bc199Bs897FQ6mhx2bNlKOmeSC2MGR0cYDX12rN5Oc1ocU6IVtVMTh5cfsOyABSpiOmfWwRSrvUyfPocZLZ2semwFH/vYxWy4434mNac5/PnPIaiHrNm9jYfW3Mdok8Vvf/I/TFk0n8uu+g6//9EPCDvbOHzaLF76/P/mwJe8l56hfj76rjewcPF0hst1Tjj3VN7+32/gpce/hCPmH0TfoztZ8ejjjG7t5w//cye7qoOsNou0TJ3JeS89h6pV4Ypv/ZbmDp3uZlP1qIVGpOieaYlxCsVVCKyGTWQG2HaMH0qMMsKLLNyq9OKJSCfSs0dkyE22iIOaEmpscVkJzVVEBYmUxg6BCBXSIaeJWGuouCV2Gt+LsMWJF9TGABAivIgjT/XkSdm+hu77ys0lvWSxoSknn4hvsURQayI2iuAnAoj0BMbYAuVQvX5yUWIlvMrjCpArnV+agTRPisgTS9o2FgehPkbJlahlHOO6Ajow8OR9LW5jcTcKMdZzSYvDUHmLddX95okkWgkULdfzqgTC0I2rOLY1RndVnXVCgjWJopqKrWJb+IHAPlzlpJSIq0QnHccmCsZ6CWXeZJ9h6KHLez0wiX0fPxJHorgPA1GdsHRfCVSyXakvECiJLiJgLOKOOORkbsRxZ+C6OvWa9AamlPNRq1dwK0JE1ZUjU7arCZVX9EFRUwWk4o3FZqOKwEhEALWVC9FQYmqI6aSUKJSSTjqBhlgBplcll3UwMlnVvWdYInpZyOWXWLBu5lTM2DfTxIaQkIV4jFpfMo8ilgVWRoFWxFEp8WTpPZVr5ktvoRZQD8aE4bR0NAqsIZCiwxBdPmC8OmGqoBxwRuipXkA/TCt3ma/ZRKkmIqmMEDBIEJJ2PDTp17NSWHGgyMtOXKVWlsUWoBviCo1UJN11LWJDp+7F+K7IsZbo2apfT0+1k0nnsOwUnqaT0wJFKzZzJp4m2xZ68CiplI7tVjAsR4mznpEBX9ZJjVBIMeJSlX2lm8nnZf5lGtLEZoxvGFQjTX2ONjlQ17IKlBELCENRZzQFDZH3qx8KWTfCzqaxbKEGGziUsZvyBKH06qFi3XqqriLGOaH1qn5InVERT+OQIBah2We4WFXuxpwjIr+rIDd7ekYwQpd0m/Qq6gyXPSyJjvt1FQWvFQdJRVUBwtOS10kV8uhxXf0Sz5WYeDDmrhVBPyticGigBXW8yMDKNdHWnsUwTAzbISvviijCcUeI7RROdxN5SyOb2U/X3T/+8yNxrz0Z9xwnICUdfONFiORPY3fdRNHFRMRa3P7Ak8LGRNGhRLBrHIlYJfttdNklopMIII1uvuTviUNK/iTdeIkjr3Ef4shKhLZGt+Hf6hFsfN5EI5mLic6zcZ5EVBx/3o2uusbobaMLrPHYkvitfJX+vUSo/CuB7AnCbSL4Jcch3yfOymR+RBgd79xMxNREqBIno4wk4nzs2l1PPtbo8pQ5TvY90TxONJJ9NXYsjhcuk+MdP/4C9jLu5+Pn9h8dIlhPdPz7chc+Ff13X2CW8a+R/SX9ivvH/rF//PWQX+I8m2Ptz9Sxvf4ZdNg922PZz5jI10sfoRcwc2oX7z7nAhZMaWPJtCVs3tzH7p5BasMuvQ/vpeLWWb57M/lUs7qhTov7Jwp50ylHc2RbJzknxbd+/RtMU2Plpm3KYVENPXKhuHo0XvD2F1CSm4eUzpbhvfT7Bv/16gtVKfhopca9W7dx6KKlOFmH3sFhDpoxF/HDXPm93/KZL36f17/oIuquj+XbdDVNVXCN3dWdyqGDazAc1DFcnV/f9wB9u4aplqssmjeLSflWjNBkw+AAn/n6pYzUdrN+9yYmt3XRkc+pG51Mc1rdrB+2YI6a2Hsee4hTjjqRSs9uVtzxCG9647kMbV3DJd+7jKlmC5VRuYGqo7fZ5LMpuuYt4tAjjqQ0UqPkV2mysuzucVlwyBy+9dWv85Wrf8UVv7uOLet3UC4GnP/c4xmq1jnliEPJO3ITFRM3GQTFMnPndvLgoxsZsIu87cuf5LNX/JwHN+/kmj/8gemFPKe/4hSWTJ/PQUumsmLHFrrtFv5w3a1cf/XN/Ozy6/j9x74FqTSb19bQW7MsXnw4iw45i6pf5+w4y6ad21i3biNdmUlsW7MXT4/ZoVVYu2uU+QtP5YGVa9i5cwu3P3QfA0NFopJGW0dGuTGOXjydow88mL1GH9dddzOpEhy2+GCuu/IrfP+HP+IFpyxm7oFpDpo7CzurcdC8BSoWJ86lk97/Eyp7Rkh1NROkbAI34ObH1nPb8lXcuXotuzat540vO4WMkWJL/3YK000OnDWHN77mIs4+6UTyfoojjjuWz3zsI7ztk18ilxURKsPxZ5xLpeZz97U/YkbLPN555rm8+Y3vYFV1iNlTOvjwxz6F6/q870vf5NCjj2TElA6vsX6a5x13NheceiZBU8Rv7r+HopnmFW/5LyVuvOY176GEy86BASY3pfjQpVcqB90vL/sh3/3+J8Yil5WI06edSDWK6N+0i/t/8hte9cY3cezUWbz83R9lkdFDetsaWiKTZUeeTaVaZcGsaYQ71/H1K77JAWcczdGHzeK5x5zPgu55khhl6pwu5k2aQeuAj7fV5/qf3sA5hx3JzEnttOltXHjQXCXmGLpBEOmEylkVqc4ygTpErrj5xPkmgpWluvTEyCeOPtUmJ8X8knk1pB/NJpKuPQWhEFKnpcizoRZg6NJBJy6qsZioLuKduNaMUHXdCRBBJYK1SJFolUMwEtjEGIVb4n/1WoglsdE4ILJTajvS3+UZEb4r5FcRCULl5BJhRlxKKvppaPhCX5UYrSlOt7Hjs+WSi6VJRCJJC0oM0nYQyVYosSLOpKQL0DCxbE00FyU2RFZGCZtxJOKPpuKOVkrDSfsU0rF6TRSnlANPYBtS25cVGqtjEousooeYii5qKbFckX9DEYzqhIGmxEARCIOoPiaWminlGiPloDtCrR2Dchh2jFsXAVKE00D1HcZWStGSxaWoPeEOREiqKpMtAtAYhEOgH+Iclnh2Jp9W1GDLcVENjaGGmbaFL0zgG8qNJrRe0g62EBWiuipM9GsxRt4hErhEbOFp0plXI6qGStDySjUiERnTAqVwMI2AILKp1zXlDs03aehuWYni8g6SGTbrRQVtkboGvSrbkm0IGMQiLPmqJzInEA1c5UiMoxR1iWBraRWzlc//aphW8eO4OogZVRRwQ3ogU3qk1qQ4JC1CRst1mpszGNItJ/neTE7FlT2Jioq7XMTqvIUtTjJTflHlK4JvzqrjVTystIFhVND8CFOclnWfwK2jeTXcQPblqD5CWw9V56cIj3Euh5HNqUtSCkLstIkv1FtKmI6B7uSUUFfTI+ry9vBHsKNRLE+qKEw1b1hpmnNNKrJfDC3iOFaimP2EM1N6SDORzJU1BugQMbJcU914MQF1iRn7PlZOnKseXq1KYLWSbWlSImfoiTjoUWhOY7tF1X1pWTr5TJbhehotGFXwDLE2NhfSKuZf6R+kUnYJPR/dELfiE1RqmVehc8cZXPnsELehrPl6bcxtKtHncqDWkF+pqveZKd2UnsfI3iGKI1XlGIyNWEW3xfmIgK7ckGC4RNn1qfnZZ+q/L/vH/vEPDxGFRFSQuOeTbqfTXvKkgy8Ra0SMSrrIkscSomvilGoUyBL3X7LNE553mPoqj42HTchzRQySMd7ZJpTY5MZGxBUR5cbHORv3JdsWEEhyHsnXRnFOBJSJBJnxpNnxQlCj6NRIGX4qB1qjMCfHNd65NT5mm8Rg5RhFQEtENJm/RKwbTy9uvAYTRXyfjI8m0dhx1OPx5ybH2Rg5Tq5JYwdi4mRM9iffJ48lomnjHMt1a1xLE0V6G52bcq0bex8b18JEIxFEn+o5SghOugDHRWr/njERZfipQCJPRSUe/7rkGo5/zVMJx/vH/vHvEm3+1vp7uuvzX7GOxXn2r+6I+2fGM3VsVzQ47P7ZefxbxPT/MyIfdZjU3MbKVduZvuRAhkojbNuyly++7rWcf/xRHHfEEhX7EaFEeuvmzpzC5EIrvpBVs2lqnsuK/gozZnSTijUOmDdLRX1DKah3Y/IS1TMsZlidyF1QuV7k4JbpdOcLFHJZintLNKXydLS0ULRj2ps6+MZlP+PBR9bw7vd9ke9c+nF1mCODg7TlCzS1SaTYwivFpAITv+5RHyzRni8QWAb1va4i0koH0OYdO9jRP8iwN8rMjnZmF7o4+8TnMq2lnSqjDJQqyvXgy7nhs3XnbtVbValX+dPDf6ajYxmveeUL+N7l36dkWURGzLBd4tTnHEE66wjQUrlUrrv8hxy1oJs91R1s3djL7BmTOP2lz+eKq3/O5i2buPgt72NGRxOprE5ra5Y/r1pOWje4Y+Uj/OybP+ChnetZsLBbwSb6gyLpnMO25VvId6WZPGU69z+8QqUIPRE1XJ0ZUyfx6MY9GHEWr+bzkS+8iXNedQZ9t94IB8zjkds2UCkXmTvp/7fYvv/C53HlYK+KBGZpon9kmDVrt1OrVzhl3kGccOQMrv3VNzh62aEcPG8+xy07irlLptPW3cJZx5xJ6GUY7NUpxx5vOPs83vvul9NT6+Mzn/wmZ7/63RDv4NgTDuf9L/4Ce7wic5u66RnciWgko4OjXP3W51CvBBySP5hW2+KCo45mUvMMLnrusZx79JEsX7eZD336+5TKNeVM271tL5O683z+U9+i3FdixYZdnHvRa7jrlt+z5r5beOu7P8tBh57CpsfuIJ2NOe7FZ/GdKz7LkKuxd+N9dBs6dksrb3/7uzBb2/nlDz7J1kfWEkdNtHZM4nPvfScbRx5h5d2PcPDSaeSbc8x0OvnyVz5MsVrnxW94AU2tDofNnUVfOeBXV36X5Y+t49wXXMCXPv1Tpjl5tlX30rVwFl3TO7jxwZUMDgRs3LyCT/3oMt794ddzy44dHHPCseTMPA/cfT1T2g9h17YteGY755/+XOqbr2f3aMT1t1zD2r3rlKPLM0w++qGPsXH7JhYsmsVvHr2VpXMvoGdwkNW7t/KDG+4g22RjpsQtI51rHpoS31QgFT0lsAzBV4hJyieQcnzV56Yrp5CKwAZSgGYp554IzJLslJ436dkLIymdEyFLIrWhAgOIY84UJ6Ai8Y7FUkUEEaCGmNMsx0ILRBiMsTIZfNfDw8RMocif4lgTQIOofELuFPEtEmqteOtCDyc1FjsVd5guQlsQYMrximAUhkrEE2iAmRoT7hRFV4ilmRRmFGGmTakLU/AL5bgT+1bgqV67ulByhbCr4Bg6mi0inkSK5VwDKnVxennEQuoV6m4gAoVGXQSziosuImfdxEiL0Bkr56Qi+8a66rBTP5d5iVxsU2KyQkCN8RAXmotupRXoQzMlfmmQytoq9hzF4lqT6xSRSRuYEXiBhucFaKkMsS1CqoNuSGRXug4NtJQ4LOXcpI/Qx/d19XPpyhRAhB9J158YMCPqgYVlB4ROSvUdUq2TbjLx/VgJX6HhYvmeimF7cYghmdGMOBJjYr+uACWaLY49ibnqpGyT2qgARWR/dUZrIlRaBBlHUWflfCXybBYc5VIu+XVSLSkFsAglpCsuS9dTxyndfLpeV79g8OIMju0RjRaJ03lSeemNg7AmnYw+sS9rTqNcD2jraqbqhcTSJWhLELlO4IYY9Rp6XMWr1tFdV0FRBP5URci1turqxMlgeWXlOgykzdMoyAUln5IIuXS3enhD/aqTb8TXMUJZV2n8Sg2/VMaxYzQ9hxf4iBE4kykQ1kXsEoekjpj5bBGyPYNK1STUK4oI7KQy6L4ALAxaJrWTNeuKZi3XPcQhCDwsEcQ0nbTh4TgpVeknMebIcIi0rDo3WYuFrIjXkM6mMP0Q3yvjCoQkhEz3FEpDLnqhgJ7OKUiLaUaiM1OtjkW9MzmBz4wqII9hOqRyFvnOnPq3TJO14EjkXlMdflXPxAhCfC0mK+AScQN60jsp7/fUGMQjNFRXqx9YCgKSa2nFUW9EAWzpeL6OVwsoj/joWYdQ1QUEaF7pGfvvy/6xf/wzI4nbJiMRkhq7z5K+PhEaElfdRPHLJKo5fpuNwldjXDYRCp8Upxqip+PdWOI4eyo3UwKyaHTlJd1myWOy7UbXn2wviUGO749Tz58gapucozjeGsd4ca9xexOJikmUeXxvnwwR2sa7JZP5Ss6tcR+NLsbx85YcW6MI+RfiWoM42HjdG0XSxnNLXJnjRzJXjYCTZB00OgxlHTXu50nRcty1bhziFExiwuPhIslrkz9/zzjR/+mEj0/k1Bv/2Pjuv/HP29exNLoz9/Wcxgi7PC9Zx/vH/vGfiJQmYtLfEqqerpD1VL14z4YuuGfzeH3D/PyzwuE/8/p/xy8cnjGRTyJQe0aGlGvkjR9+L7c/tp5tQ9u5b9t69Z/5KW1dvPyAYzjviOPoyDVx0QlHc8bRB1LzQg7u7lKF+D4+j+/eBXmbtKUzMhLQ3pRlwcIDcG2NFjvP5t27WD2yA1vcLZmAR7auZ6BUZGZLF/W4piJ5qx9YxRELZqnjEjHxW1/+MN0zJvGtSz/Kmv49BK7GzLaZDAwOoccaBdNkanc3p55yPAP1Mm2FgrrhdzSL4miV0eqYuydvZdkbVVm+fiUPb13FlpF+zjr2BMI4VDf4KVtuBmMGQ5dKmKKlu4VD5i9g7Ypfk21x+NJnPojve2RrLTTZeR5avY28ZzKwtciB5iQKbVmuvv5PvOC8V7BnsIfi4Aj3X383xyydyQWnnsO7PnwxRxx8MJpvMXtaE+u2bKNUqXHpxW/njJeeT2l3wI23PcR1K+5HCx38UsQxS49nWqaVgaFeFs+ZqVxVa7cMKvfPTX++l+cdfxRWqFHzK6xduRM8j7f/4luc+tpTOP3sE7jg9f/FvZseobLncXbvuotv/PQu6nrE1M5ORsoDzF/QyQnPX8jsqbN5dON6pnXNZtf6UU5ediyf/8yn+fC7X0O4O2S4VuWFL34dH37tK1k4Ncudy+9W4tCcqd08uGYDH774Nep6/e6mu9geODCpkxnGTEa8Gv29FYyhkEzOxMrEWJ0O9629h6G+gGyHw/OOX8Atj67joXWbxVfDEcccyAMrH2H+rBkcOX8x67YPolsZPK9Cc3eWD3zw9Xzrxt9w3Q3X8fxXn8o3rrmU9T3bOO6MV3DxB9/NkScdy30r7uKPdy7n/R/+uuraEwG5KR9yxx2rOOawJVj1Yeqez9I5k3jJBR/g5e/7MLfev54OWjjtFc/nwK7DicIKLVmD0jCs3LyT3cPbuWfNQ8yfuYC4xyPKVznhlJMp7h7lY599L+W+URYd2E0pHKBv7SjPW3Agn3ndNzjimBP54qXvZNmhBzG5Lc/JZz2XC1/8IuWguun6+3n9Z77HBRe9mGMPPZRaZZjORXOZM2shu7f1MTXXxXBlL8856GTu27ocT8Tsikf39Fa6tX4yjkY2W8DIWOjillRuqjF3VRyLhPAEMVZu6B2HUPXUSSeW/JHorU5sW2jSKiYuqDBSa1yXbi5FZBU50FR9eyIaBfoYSTfUxDcoLi9x4qmQ6pi7TkRFXWihAZYlvXUBgbjIxO0nfX6xoaKjkp+0xO4numTgK0Kn0FsDyyTwZfvSbyb9eAamPeY+0jOpseiwUHkFgGFIFVys1r80z1VdDV1ikbG42ATZKkKDuBZtMnaImRbbokRXxcWnP3F8IhpamKauABBOSo7fQE+JKGcqd5LtyDxayu0YVcacjL4ujI4xIcMNxbEnCOAQjxShPgYbEWeVGbhIglqcVwIXJiiNVeTV5XrYaEaFODQJ5brKZ6jnkjJttEjiqAFR1ccbrakosfTSiVNOYshqbuQaS9TWcNBEgVWioUla11V0UtGMpWLR1RAgrqhGktCulmIcQ6inEiuWXkdfyEvKbWVEddVrJ9FjiXxKvLVa8dR8huLG0kJsIbWaKWwnSyGr4dU85SRUTk8xrGUs/FIVUxOirUWg2bhCcQ5rRFqsHoszKfyapuZaovvSe6ecYgJmIEV5pIxXqSjnqXQVpltsahWf5qxB6IqQLX2NBdUtaD1BhU7pJoaVxRcHaGypnrt8s6kAT7pWx7HzgpJRApbrOeSaHKK0UJhjRosiG2uKHCwCtWNY2DItZoxXq2FEKdXfKIKVrD2ZX4nmjlZrZAsZYumjrLsqll32QyWgi1iO2YQtQnR9VP0b5GhDDO0cIIokjizk5YBCs6Y6DKNiP0ZQUW5KXZx+inrrE2s+qbiGLdFwIdcWDeXkLFeqZK0SugBo/IqKC9dGRkBz0T0B22TUe7FSLCNvISOdolYPqFQ8Ir+O4wjtOVKUXLfsKvFfxO/KaEhWF/BLhtZmnXolIqoJ6cbGzOQVJEULLAKvrijJgSjKkrG3LHyhEUc1FSWW/LAI7iJ22y3dZJqyiM/USTn4pIhNufL7x/7xnx+NwtFEMdTxIk/yn/tGd5+8LhF3ku0lBNlGB1kykjimPGeiOOP4G4gkSjpRH51sI3GHjT+nRNxr/HmjK03Gba+f+Reva4z37kuEkedNdEM9XtibSCRMnIAJSVVExmR+EmdFY6x3vAiWiIONPXuJm/GtTf894fGKSNa4z/FC3pMdghNEhBv/3hjZ/SvR64nH5RwS514Sh04i4Y0uyL94bYNoOf64ZCQuQXE0yn7U178DRDHRzayckwjOE62/fQnYjX9PzqORtjv+eRPt8+m4CRsF1sY1mMSy94//e9HEZ/P4dznkxKX2j3TB/aPC4D8jKE702n+H8HXFv7Ar7+85/n/HmnjGRD4jZSgyY1Z36DayOLqtnAe3rXqcGx5YTkCJax65k4cGtjAwXOFlH7uU7918O4Yf88DuPdzSv4XtIz3MzTdxyuIDOW7RfGZNauX4BYfRs2c3O4aK7K4NinFIxfpOPPJI1vcNMFKuM2/qHIZ8T5E7jXbYUd3Drt1DfOi9b1VCoERL71vxOEO5FMPbdjB7zgzedOHJ7M4O4RIybfYcdvcMU9o7TDayCI062UKaQirNvJbJzJ4/HTSdQrNNvVijc8oktm7YSXsqx/adW0g5NmkyDA4XyZDmgI6FzGyx+J/Lf8sZxx7HnIWLKNY0zjrxJD7+8W/R3G5w1eW/o3d4L0sPOpBFsyaxY6if8557NHMmT+Gz3/46n33Hmyg4XXR2Fjj37PMYrhUJcxEPL1+P062xvmeIqtwgdqT4n+vuQXCXttAcszp6NWTT2u081ruZzf0bCZ2sikTuGBzE8DRWrn+MjlwrnYVmrv31Dbz67FNpndJCKoJ5M6aNlfkPB5SLOrdc90uOnrGEr3z/Kr78he9w4KwFaJWAkVKR5ikOZ17wIu6+bwdbd2zl5BOOZ7q9gOlNBseccjZf/OoVfOQDP+S/3vlKCrWIj77zHazeto6doy5Xvv8LFHIW6za7dLYWOOmYQ9l6310wVOLnl/2YH//oByyespBjFhzJn66+EzNj4FYFtWoQD7kcMG8mhyyazup1u5ULZVprihlTu2lp7WB6ewe6bTN5ts19j66ivbWdlpzDiFeiO2Myp6WZxTNmc+OKx1k6aSadZhvHHngG6dEqn/zcVaxecQ8LZ06ne0Y73/nSJezctYm04/KzP9zOrMl5lj+8gnzbDLZ7e6ml80AfX/7cx+jvqbKpsoeHH3iQTRvuYcPePZx06FEccMh03NAjW89heqio+Qve9UpSRYc9fbs4bOlBfOO7V9FTrHLI8WdQGIHDlx1Bf7XERZecxeOPPczRi49l7brtRE3d/PamK1l2/Dn88Le/JN3ZypT2bk479YV0T86waPoBmMMBbR05DjjqUNYM9FB+fDf2SJ2Nd93MBSefSmdrE7t2DbOrv8rzWizK9VH0jINmSWRXIzR0RaeNAw3dlsd0FX0NfKGdBpDRlbNO4pW2CDmhOPkk0ugJKFMRZ0V908MATQi60mPnCoBDHjMw5UmhhiNClnSMxSG27FOEPttS3WDCdxAzzxhQgyc75sRlJo68KAoVnMJ0bHwh49oZ3IpLXK8qwcZKSa+YSdaoKXiNyhrL54NjE0rHn5lGE0VOBDmx0qKPCTjSUSfx5br0FIrwZhP4vnJWhW6FSPK90r1Zr6qIolCEg1GDUBOSq4RBpQQvGHM6WgZx7BBFIvbVVd+ZeBNFzxNQjRaJtiHORREeNQxNAChVInF2ibCjazgCbNB10hlbOSLFEYdIHZpFHIjwJ049EeSErCquqzFqruBElGgmEAcrGIviCrBEYAxRpCLMpYr0BrpS5YYrymIcqPh7aNoqZitORblGcp1FnAo9l9AwcKQDNIyx5QQCGyufJzZtrFiEPQ1PT2HoIlRJz544ziKMbAuBwETE5eiLKJVFFyhJpapEO1lXad1V/yD5ZFSvZWinFOHXq9XJ5OScHXxxaIpIqkAYOrofKFemgJ/kCvqK0iLrOS9vNNVX51gR1eEa+eyYQzJQjkaHSObP0amVBVaRo+aYSsTy3IxyVmYzIjC7mNIhGaQJRKjUYtLpDKZWIwhdasUiKaOmfumkhGctwtUCarUyeiZHGh3fM9W/EZqKgovo6BFbWeRsZY1WKlXCuqwYR73e0gwicwyyYqUcQkOSuin8Uok4NsYItFpMTa5XvcpAWVf05lAIuCL0KlpzTFSv49o29TiFk5N1pJH2BtHTBpFrYJkZRkfFPamj283k0iYCuzXMHK6AaATFW69jFiYpIV6ispEnYmEKz26iNOjjWLp6T8a6QyB9fGlHvScrXkSlFlKuBKrKInJsVQ0gwiuRT1taIulCabYxDXES+wpGI3RoX8A74lrVwNEDBfqhthu/XKJWiQjKRQQTbKkyzf1j/3j2jERYSDrBnnSFPSH+JW6iRKhppPHKSASq8SJN4uhqBGU0Ck7i2krIs+PHREJOoyMt+XviMmzsmkuOQR5L4sCN55m4zI756JlPHnfy+okcY/LzpI9N/i43RKqvrkEA+6/pp/3lsV765SfnsVE4mgj4kczvX7nyGkTJRJxTQt97Lv6rvsTG82wcjaCQ5LnjO+oSwuxT3UQ2gkQaxazxQpVsS+YiiYMnx7YvMm6y3eR89uVaSwTjiQTfiYYIcPL85OZ1Ihfd+MjaeBF4XyM5j0ZnamPkeKIxvlNRxNeJRuNz5BwaYSYy9sd2//7xbAQn/F8ZT2c9PpNrdrzA9o8KX/+MYDbRa5/NceGnM/6e4/9HRfO/Zx08YyLf7Gnt2M02gREyENTp6MyoSKbp6wSBi1eO1G/0tz3ag9Ymsb8YO2WpOFlzLo3W6xMaMZtHh3ho7Xp6BspMap/L1BaL0w86mDef/3zedN4L0VIaHb7Nn26/D19q9NMauwe3M6ulk6ULF7Fs2nyGdlXZvLOfwB9maG+R0045lde/5WUsy7Ww+KAFfPT9X2DSgWfT7tnMap6GI9S+UOJfNUzNoqOtC7fm0tLWxt76ILs27FFOhXJPhTmzZ7NlR5HAjdk7Umbr4ADVijsGv6hHdLW3E3nDnP2ckznvtaezeu1Krrr+D1z67ct5+xe+zxc+9XGu/uGvYftDXPKO15AyDXb6ZUZTEfev76FmVFSZ/ZW33EKx2Et3dyfrNm7imht/w7RMga6pTUyyplEcreDoFlXPJ9sac9LBS1S8+DWnvEwyiRy0ZIaK7G3btRejUmJRWwc1o0bFd8k2OVTqRUrVKmUt4Oob72R4ZIQ3XXgauweGyOYcUrFBz+bHYXgXc6Z3k840YzW3sKeynT9c+yeOOvpIUrU8X/7Sl6j19uONltm1cjOrNzzMhf/1AbUmDpg/icMOmseKP99NNpvik1+7jEc2beeAud2Yc5dw573rOOOY6SyZdijTFhzHT6+7kcdWruSM449gy2OPsnzH3aoj7Mvf/CAuvnKiyLoRaIM/6tHaMZ3WSTnqI1XmzVxIzavjSJl+xuDkQ6eQCTsYxqd/Rw/lWj8Dwz49va7qcewbGeHiN7yRF511FoWZ3QyUd3LICSdw2cc/gF81SRkOfbv62bF3D+XBCgPDgxy6ZAGeb2KnbM58ySvo1PJc8Kq38uA993LxBz/Bz350LQfPP4Bpi05lkz/K6846le27+lm1vIdjDj+etnlZOqc2cejcxVzzza/wnJccx6YduzjzmNP42Cc/yJte+1KOWng4xvQCt//xd7zlvLfwtld/kAXdB7N49gI+9JlP89/vfi/HHXo61197OZd97LOsXv4wMzpn8srnn8pkEWh9m9ldbdz7p9v4/Cc+xAlzjuCTH/2i6gd7zuln0lcLOGnhYQwNjtKmtXHtbpcgclT/lRKcxhgUcttPZImII8KN3HxLqtImFlHMj4itGD/QlagVCI3WdoilDDAQR1esRCYvErCHRB4D9EJaRUAtUwASAY4trxPhTnoBBaQg29dU1FTcgOLokn2JQ03696x6ROzVSeuxotzqhkM6JRALDyPS0UNXEXB13VCdeYHELaMAXwAM0tMn/WNuIOBkNE96+yQjL/SNCD8IlbNNF7ta5GEaLpoZU/MCBckQeIUIs6J5iAgTm1KQZ2IIVlvgGmJEssYAJKJMxGaK0I9xVB+hxHJdIhFNRS5NZ4llv3qs+goDzyDl6GjOGMVVIEUS4zUdiYJK151Qai28YlWRV6O6gEF83LCqxC0RGUPpPxN3oTjJTIPAMNDF8WZJR6ChIA9C8hWhTmLVkWbi1Ws054XQGitAhQiptm5hpMRZV1WuQUschLGtXFukbCXmynWT2HAkZ2tEBFGAWylhWzHCvyCKSOmBgqlEtjj28lii2I5Wxzod41BdI7mufuCj5ZuVyy8jIr4hwmIdP6iBnpGVRa0e4TSl8AeLNGVtbNW1GJI1xyjQvpVToqw470RYDGt1RXg2REgzQsJUGs13FcjDjR3l+LRFvI18It/Fq4ia5Mum0Eo+tiGdkGUMw6BWDZUbLlNII5dcF1Jz1aUmoBi7A9c1yabFzSZ9fxGhOA4Djaxhq31Ebr9ykmbSMdV6SUFPaiLyWw5a6OFKV6XjKhKwr/nYmRA3tNCDGoEmAqnErqXEr0JFgDCpDlwNMlIKUYsoZDPoEnn1A+xMVtG+x9yqmiL7xoV20rqsZ10Je6bv43oaftVVsBWBmeTEyohJVnS0qkFd3iOlYRXtrctvhuwcenkvrltBT+vkchauV6OlxQQ9IC3uVqm3xCG2s4SVknrfpQwNIxDXZYxjh1D3qMi2IwOnkKFSC9AdB6Rf1zbQbEf139qOCLc+jtCKSzVi6ZOUXzTYOUVfti3GBG9Hfhnwl3G0/WP/+E8MiZwmsdDxglpjZDJxuMloBFWMj/mOH41ijIghjaCOJBacRGgb4RqNr28ciTDV+Pj4jr8EvCFfk15BOc9ESGz82XjH1pOuw4b4Z6PgIlHVxu4+dd5PiEXKTTeeqNrgzku6DmUowfM9F/9V71zyNaEVJ89NRiKyqvl7Yl8ipj0dV1ujwNbYvSfz13jcchOWiFWJCPUXbrKJgBfjiLv7et7fGn9LXNtXn+JEQ85L1lzj88e76CYa++r1+4uewyfme183xfs6xsZrnoivEzn6Gl2gQjRuXD+Ncfb94x8f+519z9x4OuvxmVyzzwby6//r475/UDT/e9bBMybyTc9NQavGKprlGDbbtw0wqb2FwfII1YpPuRRhFSw6uvKEQxHZNgezZczFI86fqGmsY0ssPENxjaHAY9POxxTR9pp7buGx3X18/br/oWCmqGVDAiNG9zW+/Pb/Yva0qewq7yEfN/Pw8kc5/5QTOPnYJXzxaz9jS3mQn/3xOq6+9Gp+fNPvVYfQ6Rc9j7NedDqznBZ103L/PY+TTaV5eNsQLc0Sg4oI3ZihgSE8YiUmLJw0C1odJuVyDFS3Uo5cpuTybNsxqCiGnu/SWmhl67bdbHNLbNu8ife9+BX01wwWz17GFW//LS857XTuePS+sQmbcTi7tla4c81q4pI4NQx2Dm9hx549HH7YAcxo62DRvDl87UfX8os/3MExB53EoukzmZpp46jDjmFKRzsXv+QlvO+sF/D8556Ab0Y4ocHU6QXsuq3oigMDAxhSveUbbOzdgxsHnHTEsWgpk6obMqd9Gid1T6egw6SuNr7zP7djSp9WJeD5J53BkYccyEHnHMIv/nw3TU02MzN5Xnna+erwOw2HxQvncOLcQ3nfG17Luc87nanTpxJ2pPj5j7/G/1z5LZzQJNWkUanUyDd1c+U1l9Hd0k1tyOc7X/4s+dY2Lv/dLfzxkdv44Y++he2OMNS3nd/fcge64bKgbZ6CCJx80YVceOyRXHnpN9Ek7mbpfPnS73H7vXcKsJJHt4/Qv3eUx9fupHdghO9d8yvWbixz6133cvjsxawd2a4ikRKznDurm3JvP6W+UX74i2v56Y1/oHf1OtY/sorLvvhhtuzYzYxZLWzp62Hjzp20NUnXVIYB1yCslThm6XxmTp/CPX/8Ge98/+fhv1/N9dfdyve+9nH+9NOv0LejH713NV/9yNe4d9VK3LjC4jMXs3P3RvSKQVe2S4KJXL/yVr7ylW+zbP6BfPTaS/nER7/Cj6/9OYxsZ8Rw2RVpfOzyz7Fj5VqOOusQLrv6J1z7/W/x7e98iGu++XGajBKl3i14pRIdk5q48rpbuPW6u6m4gyyc08VjxbVs27SB3BEh9+69gVwhy6VXXYU/MsCe2hC///mNtGUk/hepKK3QLkXNig0h24popEs9n/oqgo2IHRCgTHrE2HGMZktkN8RwpV8vwpSor6hDekrRsUUCVGV8mk9cl240Ef7GBAdPBL4gUqRVpW6JIFdzlUtOfS8ABjNWnXriPsOOFaBAkziucmCNRWwF0CO/WFDuQwF/SJ9bDLaKAAcK7iBuLiVK2Q6WE2LaEYYIkDUXXdcUfEOJPq6vXHdiRzTtLEYsEWIXQ7NJxxpmPosnUdeUdPI5kBYISKzEL61cV2APEblM+YWBmlMXz6+rvsHYsNCkD1AownZaRTFjU+jAAdUn4oyhKDiageWIa06MhxIblT41cSJqRK5084Hu6JjSSxgKuEPIvUL0HRMWpbvMlOOJJaZpYBsi3MbE0iEY6ooWLL14qZQQhAWeYhPJeYrYGYkrUA4hrVybgelgGxXMtKXccYaVJhAh0w7xRNSSTkYlWDm40p2Ihi8OS08AHxL4ltcVqdelmVC2Y4hmTCR9ilagorWhX0JL5ah7Orol0WGTtCHOxgq67+HYBlG5on7BUBweVRHjipBtJfat6arnzUrJZzbEQmJO5xUkRtLSmhdilIrqWqbSWSxNKhUM6mSpVz3MTIp0YazvL5KYscxJPaCQ1fFrHrotpNqUcuspNHG9hNOsKyejrQ1gi9AYBqSki04IsdIRmMmp7emGTegapG1xq1lIFV3draFpEo32SGkWOVc669LksjqpUGjOmiwpsnkNaqPqbWCIyJfNYro+RjysxO/AaUZ3YorFACeTItOcJfJ9zEJO9RhacURQ85WTrxZlcQSg4dgIz1nm2rZC6rUYz9QYrUonnvw7XFKQI4HbZGRdZ/JjDlBDwC85DD1H2nHwKnXyWQu/KvNvEpRHVYdmoVk+FgTUI/Fdn7Tj47TlqZU8NE0oy6JIB6SFOOyXqEcatVEPUz4P9Ajb8MmK0qg+cwyK5Mg1p/Dr0qMoXYwBo56u5jBOpZQLU7k294/94z88RIBqhGwkwpcITI0CXuJ6Syi8MsTVNlGscV99cY2U1fGwjvG/4ZfXJoJe43ZEmGqMqTYSXGXIMSaimnxNHFDy90Q0k9cncI5GiEiyDRHNGm9EEuecOoZxUVWZj0RUbBRvGvvuGocci2w/EW4mmrvkmBJRZzyco9GlKNdA4Bzy9UkH49OASSSCnxxLoxNtvMvtp1d8bcLXN3b6Jcc9kXA2kXNvvMst+V7OozHG3bhukiHX8el2003ksHs6c7PPnrwnCL+J00++ThQrHz8mgqDs64a3kSo8kSD5dAXO/eNvj/3Ovmf/SBx7/6/29B29D7fc/ytO3mdM5Fu7e6PqdxI3juvV0XWT+kjAcxcewiWvfT0Pb12HMRozuLtMQW6KShrWkJQGwc49IwSjoaKnauoeX+O2Rx7ANSP6PZfufCtrlq9CH45VjGjulAU0ZwvMnTSZvVv2sGtXH1MzLbQe0M4lb3s9j2zezAOPruaVb3ohhc40diXNpz7zQZYtPoZ6zeOmn95MS5sz5sLBYKRWZWDnENQrvOTM89HDFFpGo8XJ0JrOML1jBtlUjtOnHMBhSxYTuSHTJrWRmVxgaraDV73wHE6ZfyAHzJvHmYccR0tap6upwNU338qpB86j5o5y2a0fJuPAucccwTVXfIkbf/ljWjpC3nPe+Xz4DS/mpSedQVMmJnA9dvYM0FzIUapGvOqiCzn20MPp69/CfSvX8/JXvovTDzuUq7/zK372p5sp1TXmLjmLQmqKqmAf3rWXBVMm8ZwjjmLy1AKZlhSh4TC3dTYdZLnnofvY+OhOrv/FTdSdGrfv2MK2Sh/nn/A86pKDJM3hBxzCjuI2fnrLH7n5e7eyeuMO3vCG97FlzzB2dpRf/uQybrj/Hh7au5X1g5v44U2/5bqH7+KPD9/O+tWP8cD997Ju9Vruuv1OSn3D3HTzg2zf28/qxx/lVRedx4VvfC/5ljqDg5s45aTjecHJRxKVSrz30m9z8X+/h1OeexynnXIMR558AEOlPq75xlfItE2nY/VdmFldQRte9voXqRvbjhaHgeFdrO7bxHBYpccb4rjDD2LD3j6KBBSHBsilcqzt36WK74vuEO2TOyj5Ie3dKfp29GFmpPPLZf2mTcyd20Vnbhof+eR3qQ0MM1it01+t092aoTndxJV33Mqb3vN51m3exPDGu7msKc8nP/8Ndu3tZ+XwAAuPWMzsQ45n5S23cOjBh9DUnOWab19Nce8o/W4vj65ZzsbevQTlEHc44rYV90NJo3/LYyxdMp2qHvCmk9/Jg/fczffe9UWuufUHvOJtr2Trtk2s7llLd3o6MyYdwsotu/nDHQ/RXx7EsUyMrMGRR8/l1oce5wfX38RPL7uB0159LpOHW7j1rrVc8PaLmT21nWqxxEtfdDJf+NzFPNq7nTgUeq6hhG35NJAEnMRmpTEv1KXbzVXQEyG2iPAdi6VP8rToGLGp+tq0TIYo8hVEwpRIqbguUyJEGZjizNHGYrFyvaTHT6jaAtiQSKREeANxZmo2ViqNpeLBKDFPXF+RLs7CCFMK9MQtVPUVAEIopwJLUN2B6DiRuN+y2Jo59nNp9hcRIDMGrBAyrAgguhcRqA5KqcwzVEQQ5WQUPdJSUV8sg6BSU2KaZoRYvo4rEWCv/MR5SI+gp3ryBLCj20ILNTClI0wgJeKHVI5CMcBlVL+nQDtEwNMiEWsCfInBisgpyUpdOt8UFYTYrymnYxibGNJfpwlFV1eOR8sUl52BZaSUECgdcFEckc1n0XRxLUqPW4Dv1wgi6UGUc9SVs1ISy3JsY/sPCcVFh5B+JdOrY4hga4JbiRUQwnLSSvCB1Fjvmm2hq54/iVLGWCKMhSGmVsSwRKwd+3fAkR45TeASAmoRSImJrtuEIhB6GrZEUeueou1KR51ce01yxZqGJdfYNAlqlTFwSSqrBMEwDAm8ANIFBdAQOEMgwBcMBeGRz3TpE5TeOBG2wlSO2PMxZV2nUtR9D1+38I2Mmi/LKKtrJV101ZqIfXnVOShRU4mVjqo+wDphva7Wu9ByraYUsVEg8nSKA3VMiUy7MeWogF8toceG6ovTykXlKpX1lWrKUKyL28+kJsdotSinaL1u4oUhFRFczYhgZJRAHIeaT6kk3Xbyy5FmJaiLz04IwBKl11MpBSWJ3RGCwCKXNtD8WMExlMNS9fiZkMljWDG27ipnZ9n3KQ2VMI28cu5FeoqsXiMrQI0mg1TsEltNYynzKBSdmuoI6FWB3IQYRozh+NQqIXa+QL1cxC0JpCQkKDRTFWDK0DBaXFN0eTm3gQEfd7RGJhVTDwQg4qh4rlB0Ja4ti03+9Q3qZdyar1oAlKAe+QSejy2fIbKoRB2tyntXIv46pp7CrEVoRlYJjfvH/vGfHo3CW6M7T0QMEYASwSER/0RQS8TA8bTYZHvJaHSlyUiEqanTjnvSIfZk99g4l5Q47z7zgaP/YjtJHLdxJNCMxgju+JH8TBxxjfHWieAPav+XfvmvbirHU2tlbuQxEZImIhSOF2OejP82dKw1ijeJw0t+nrgrk+00ipqJ+NXY4ZeIso3Hn8RUG7efzG1jDHiibrvEldfYSTheHBs/ZxNdx4m+H9/LOL6Lb7y7slH0TJ43kev0b42EUvz3uAsnEhPlWERQlf0na29fr33SOTqByzGJW0ucWb4+CRZpgKA0jsbev/0Ajqc/9rv1/j3jXyXCPR3H3rNZABwvxv296/G+fbjl/lVO3r9XPPxXv7+0WEgRz8D46tc/pgq5zz7tHC756mdx5QbBgLNOXkyl3Mzw6CArd20g6xnMXTCHNds3q+htrV9u0OCiwwTCEbCrWGT+5C4yctOCzn27d7Cnb5ii5zJ/SidnHnQYg0Mxk6Z28u0brlU3fVOaC7Q5NlGmiVWb1/GuV72MzVu28aI3fpAfXfY1Nqx/nK9864dc+b0vUY4D1q9dzXnPOZVvXHstRy09jA2bt7Orp4c3v+al7Ny8hxvuupNXnXsWv3joVjrTOQ5oX8jipVNZu2Evbd15qn193LxlFdmyQ8V1caMaoaPx+uefw7beHo47/GBuvulhpk5dwLYdq7lr3QqphCctd9EdNlP8Alv39NI5dzZmpUIq0iilQvp6+rEsnbOOPpk/rXuYYt+IIgG3FCxmdR1Exh7kgv9+Gf/1ho/w4uc8h1kzF3DPqj+zbXeRDZt28ZznLabV7+bXD9/BvPwUekuDmJahIpdTp7SxauNmOjItFOMSrzv/+dx36w4e3vgwZsFmQUcruwZqHLV0EfetXs4X3vsePvrdb/HWc19BU6XKwrOlc6WFl73lbPJWF/O7pjAS7aRcSivxSauJSytk8tQWwrDO4ub5DPXvplDI4Goh55x5IUcftpQfXf1jJk+aQtC3nTV9/UxuzdM/NEJLyyRW79pAa9TFsLGXfDqDlW1nw+oN7K3VRHtUgoo74iq4yZI58xgNh1nYNZV712ykKVdgaHQEnIjDutoYNnL07tlDWs8SuR4zpnQybcFU/vzQSoJyiaULp/P4mt1MnT5NdbGt3bGHOZ1NfOXrV/HFL13M2ee/iW99+RN889vX8Oub/ofzTj+fC199Ni8+5hQeXbWO7b19nHzSoWxbtZ5PfOr9fOmHV5Gveuwc3KvEoqmTulmyeC7rtuxl1foVnHbM0WB20bNzM3tHhnlwwxribETKcxTh8owjjuN3D9/Hpe/7Bt//8efItWRVB+FRL17Knb9bDiMBgVPDCB2+dtmV/OanX6O/v8q9qx9jyayZXPzBL/D7n32VRx7fwKM9m/nNVbfw899+gZdMO4W3/vCLfOnSr3HtD69mY72PVy89nb7Brfz+/uXsSWWEAEHoi9MuHhMNRFCRJKtmkhYwQiVQrjzpAxOnrcQrVZxXBLFQYrsGjkQlxb0ncVYRqCTFpxyAityAIXRWFWmUuGhASjOouZGKEqouLlMjrFUwRYiRfQnpVWAdEonVhdIrJjlDiWvSHSc9bq48R5x64gwTcU9FSIW4mlLOPCECU/cJoxAnaxMEMZohri2BAFjEIgyJM0o6Bx2h5Y6BR/TIxa1Fyn0kfWMZy1TxXdm+xF8tI1Ai1RhJdIzMHRk2OjUFZJCIoqlL/DYgkkjzE71/0osnnXVC941cccLFClYiorVEpX35XtxutRhHPhurkt81BIdNRoAgEhEW0U4EOom8BtETJF5xxdmKqixOO9m3TFOgjTmnBGYgolQQ1DHTWfxaFU0PiaMUhhYgcp+tIBuifBYItSq2UGKV4Bsph56ZyeFVKwqCILASQxFzhW4coNUk/qxjmwaydGzLpBZo+FINkLWoizgjQptlko5F9Akx5ZqJwomBrcu1Ak8Jk6G6JoJhiiwb3ZK4tYA/IkZHa1JSN0bordawTFtBXETslP5AzcygBTV1HXIpi8AQmIdNrRZjOdKFN0YMljWi1kAgIAgBtfgqnmvpFsVyGUvTCeMx4TKVMahVKlhWAc30lTAYxLqCpwSyzs2ISLMJ6iVIN2O5FYy0wCaEmizUYovQjNADEazTY1FgzaIem+DXyWR1yqMxTkszca1ILHHkehXPzKJZEZpcKytNPTTQamWMjC2GOHRNotPi4HOphQZZKySVT1Mr1fFF4JTuSVmvqSbM6gCZJotKySGuF7Gam9DdYQLXUDF5ITfXqxUKhSxlP8KKqxiybc1WEAxsDUpVAi1H5I4SGGnieoCRM8lm5PPCxgtc1XEpdGDplxTCb8mzSVkhpbpOS0FT1GLlchTAh2uQz9aoln3S+Tbq8tlQD7FzNoI81uNhvLrUBUiUF6plF8vUSbU0E5QraHaajOny7W9d/kz892X/2D/+4aHigrf8XEUURfBpBFYkws1EgkojXGOikYgziWAj20/Ejote/0712K6dd/+VgPW3hogh0qGXPFdudhrJj6pXrqGzb6LjSiK5489z/GgUU5LnyWMiwiXCXqMIlUBEEpfg+G0n8zyexJqcSxIvbZzvxn2KkNc4X43HlLgNRXyU69jYnZc40J6K/tu4/X110j0VDVaOPelFbNz++Fj3eBhL4hDdV2y6sT9Q5rURHNI4f091bPLa5HrJ+kn6CZPXJAJa4vxr3Nb47TYec3I+ybz/I/HkxtG4Hdlvch2Tc0ioxvL+OfmKbf/UvvaPf/8QQeT/qnvwmT43Ee6ebiT373nuf3r8X14Df89ohF39W0S+c159Lq5XJRelqaoYk7hSQlKFNJOdZg4/4kB+d/td6rf3QlP0nBjHsim0ZIlGAmpGncMWL+buex+l0JEW3YFIHAoYKpIkxemzpk6mXh6lOWpmu7sHM2fTYnYwY1oHd6xaobrIlk6Zz29ufJDQqPG8E07khhtv5jUXns7yFes467Rj+MPtj7BraJC25iz1EDbv2caBk2ZjpU32Dg1x4iFL2bmjl0y+nT+vfIgp7S24cZ0ffOPnnPGyM8lqGgunTuWxzTtUwfnSOdN5fOdW9FGNRQfMZc22zbQU0rzhnHP49e23s36wVxWWx7WQhbMWs7V3M7ap4YqrybYUpfOIOdPYu6fCzDnTWb6zn6xbZM6kLvoiGBntIxflCcyQ5pzJzr0VJk9rolys0uP34w4FOKbFyQsPoppx2bSjh6FSGd8NyFkFRkZHWTxzMp2TOxncHrKjbxMVavz+pzdx5WWf5N4t2xjq7SXX2o6pawz099Ka7mR3cTsHdU3hFS8+j+4ZU9myajNVo8YRB0zl6luXk9ED7nlwA45hkkmZHL7kAGadeAK9DyxnZ7GfrZu2ssctcej0xVQHdlDLOSyZcyjnv/R1wAA/+/6P2dC3maXzFzGyrYeW7sls3bSevqEhjj7zFB667SHqYZl5sw6kvaONy3/1c3RxiZTqRJpEoOewaM4SNtc2sHvDXgpNKUr1kMG+QVracuRig729ozS3W7TkWslIEX/JYfmeR+luaWI0cDliVhebNo5w/NFLuPXeBznhkKPYtmMvpSDkhBNnsPzuOqeeupS2aQv4yZXfJ+PopLQKU+Yv5fY/38xLTzuPLXt2ce4LT+Ljl3wHo9kgqMeceMgydu7ZyYxZk1l8wHm4pXXcseI+LjznFG7447005TL88s4/qb4tyzCY0z2D559+FKec9gZ++vUvcNF/v5+Xv/L5POfwZbzu7Z/kqh99nle+6K302n08cvv9nH7ay/nRNz7NgkXzVAfert2D3LfqEY49ej57ttZUjLa7o5O773yQ0bCfY2cvZPPQCC+44GUwWGFtz+Pcet0DfOOKL2P1PMKbf/MQhifiXUSknGA6orpESswTUSxWtFZddwilvKwuMVeJV0q/v03Vc5UbS5PYpxjoxBIUm4RBiKXsVb4SEyS6K913oq9o4noTATAK0U0J3uoK9CFCo2NZ1HydlHSMmWOiSqyFRGYzmldULqAwkp47m1xGXF7SzxXLLhWMQjPyGFTEUEaohElNRXZN6bgLA+UuC4WuKxFPJ4URuIrsKSKegAvG3Eyh6taLPZd0RkjBOfDqY+KY7RAoocwgVoV9DrpgFMTZh01km+hBBcM08SVCasqnWKRgCeJRsvSA0BWhMCTUspiaq0Aj4lhznLSiE4vTTH00h5GiF8vfdXEixjr1QEQrXbkvg1CO08LRY9WBGNQjTFOoto4S4FKWPXYdhaCq69RrAanmrIpOxqFDJHHMSKjgAbEfKCBH6FcUcERclqbjELsiWNZV/6K4rVK5FDVXgrN5Yn9UiWFjUd5ACWQiiEblQEyAqiMykN41LU0qo6l1YBk2dd9V3WvSHSgCrayrjPzMjChholcrCpYisJHQN9AtAWUE2OLiE1k29oiEKmxkSJkBgbgUpTtSyMimjeGXwTRED8bOQK0eokcWughnAmTJxriuuDYlqmqpnkZZ58qdKRF1QiKBykhkWWAdkabit4Ghk83qpO0qrp+iUg6xMjaO5VIZ9VSnoluTcwpIZ3Iqwq2HddKmplx9lq5hpE1MW8MOoL8oYJKYpqYM5dGSOk+7ycasRNTk7RGnCMojFFpMKtUIJOI8Mkq6OY9frCjR03FkIUfEmoUZ+bjS5xeIE1dllgkrLrlm6VKUdSHwqApGvhOk11G3lWMzZQWUApOUEilNqnEaogqxliVtimM1ohzr5CQKbKUI3GFyhVYqw7IehKCsY6cjcimb8nCJWBPBzyPOSY9hRLkqMWAR0sFFXIgWUb2iPlMkjV+vVWkq2KovsjgqXX9p/FpZrY209GGGGlZYV4J97GQUDVpixldd8d1n4r8v+8f+8Q8PEdpkJEJLIl5IDDURPRqjsOPFGHHHJV17E7noxPXU6HQbDxqQ/SfPSdwJItTJ9u795B+eFGTGj6cSBRuPRdxWCdiiMXab/F16AJP9yUhElvHi3XjBLwGHJGO8MNYoLI1/rFEAnUhITRxi4+PLybGMP8/xQt/4yG6jM+/pjPHn8rdeO14km0iUTUajaCeiolz7JBreeC0aY92N59r42FONpzrmxp81zuHT2cb4dfGPjr/nejSKtfIeEVEj+fv+sX/8vzb+N4l6/1fHpy497p/6/Pm3i3wXvuMCqsWaCs/lcw6zU1N4eOtmcnmbyYUmJEu1sWcnTbkU5YqrHBQS28laGfKGReukZoq1CtvW7cFwINeZoVisMKdtBnlDZ685jDvgMWlaE9t2DXD0nMVs3raDow6cy7yWDu7e0q/K5TcP7SSXzjGtqZt7Vz7IC085FSuT46a7bmGwr6wifXWvzNnHHc0fbr2fSdNa6WppYcXmTXTZrcw/YDIPrFrPKYcdyv/cdg9zZk2mWUuxoaeHmu2Sj1LYaYNpbVM47PRj+MmPf0FlqMQxCw+k7lVZuX0LZjrNqYcfyq/v+TMHtc/lsS0bMJuFNqzRmskwZ/osHt+1mrDkgOljodOUS5ML00yd3E1vtUw1qLJlRw+z501ldLTEQP8Q0wsdTJrSwczuVnb09ZGf2kHezrPuoU3sruxhWraFyVO6WLu3D0PIpWGdQaqcd+IL2Lz2USp7Kkye1Y4RRXTOWsT2nRvRI4NBv8JA31529w9jGxae65LOWnzv4nextVhlpHeYdavWYGR0dm3pY94BUxgZNQhGdlOydVpzBTpbO3CDmHxaQ89muf+ue5m+cBIPrdhKBugodLLokIUsXdDOHfevoiXVTPv0qQSVEg889hjv/tT7+dU3fohW8nj1hz7H5Zd/juUrHuPoJcfw+/tvZaQy1lElPVySMJzXsZCN1Y1kzbQSy6oll59/8iO8/dvf4MDOOTy2bQ2a7pBN29SrIUsOnkE2buaONQ/QZOc59bgj6NtSJkoP0pKZyu7dJVxnBKdq0HHQLNq03Sx/YBepQhsrt27hkPkLmFboYuFhC/jVtb+lOZeFChz1gtPZ8vhjwkxl88YHiM0OFnZMo29okOzcTjY/toqF8xfxtne8iY99+LP4foWFs+bwiz/fwtyZU7jsS9fwyE1XMmpMYX5HnkkzOvn2N7/Jlr0SKQx56zvezPs+8XHyzXlsI4tu1KgFdRa0LVLwhsfWPMZLT38uZ73ibYq6et3Pv83lV13PEcvmcskH3kl/dRvv+tAXec0pp9K5bD4j24ps7NnB449uVpCBiog70+bT1zNIJpemd91GsvlWNFPD1Bx0w0SLaioyKr4uFfkU8SSKiPUchuYqR5rcdDt6REWgEpGGIQ40Rd3UsIJgzLXnmMRSxm+LUCPuJhHepCtO3HoRUawrJ1Ao3XCS45feu7qIUCahkGpF9NcVuYA41JWoWA8k0GioGLAmgAGBAOimEs/DuIbodwJ6iCxDdYf5SjxyJJGLHoUqJhxHvhK3gkoZS0QxSS1qpgIaaI6JKaTXeoCVEhFJ1p+43yJMETVTaeKwTr2qYVsOseELsBZDzjFwFUk40DXV/Sci3RiyYqz7UFxeIrzouoXrjkEfxMmlBFMRahTwVgAS4lqqUvHNsS5BgWkIddTQqA2XMZvSaIoKLGKb6D3yG5K6it+KY8qxRYVLqeOMBa4htOK6UEsF7uApMqxfF5eehScR7VCuiwBJPEU0VlTUWoRtuWOx27CG5dkKOCIYVBE7RXCsCcTDzqmYq5N18EQ0FGHOtvBqIrpZGIS4kU46ZSgxWYjCgV4AT8jFEkmOlIhjVkcVhEWAGSLui1hmhbIvMX4bWClDkq94gU9G0wlSMYh73M5gCEwikh5GWVvyVx9DHIFaSE3PkZF14ck/SUKQjgkEaOIHOCmL0dGQbJOGJz1wSuSKMTEIJG4t8W4FxKhjmmm1buSYJVYbRgJA0TCtaMxtGdtYpktYjwlUx6PIhgYmHnU/VMAKvxTjy9oT8iwWjiTLI4NauarEVSuWuRFHa5a0HVKT0/NcPOnMq/k0FTRGigKZCTFSyluLY4QEZpaMFVNP5dGKQ2iGRaHFYmSopjoGDb065jA1RYgL0CpVsSwq56DuemqtOBlT9Szamk+t6uLHOVK6q9jH4jCV90Q2b+KVqli6T13LYuTalBBumSVqgQi0mqLhimtT98VlXcBxFGMb6gGBdGfaGl4YEAYO6SYTd3QUx9bwAxGgdZl5AmxMWXP5DG65RmA4aLI2NYsfX/GtZ+K/L/vH/vFPi3zJaHRYjf9+IpEvGY0OwOR1E7kAJaq7Lzdh8jMRhUTgS44vEdQaHWDyfSIYJkLgeIfY+HMZf1yNQt148S/5Ol7QGx8fbTyuZCTOO3FsiMD4VGLQvsTKxm0+Fe11/PHI8TaCI/5Zd9m+RKmnEqnGuyUbR2PX3r7cfcljjULpU4lx+xpPJQT/PSLb+G2OP459betvCdEJiXm8w1V6EMe7Lyfax36R75kZ+91V/zmx59lwvf83nsN/ajxTc/V0Rb5nrJOv1FfGHfWhHlHqdceAGrokfUx6i0XqkYsWyA2szkVnn4eTs4nzGqV6mT3uCI+v28yWjT2InUP1cAUR2UyabXt2ogexov7NmjSfehHmzJjOis1ryU5pJz1zBkOFdg47YR7v+eBn2LK9l0Xtszjv1EOZOWsu07qynHf+6/jwC15EXYs465ijaTYdHtm8HVf3KVd9dvYPq6hwKaywZsduanrAL++6m5kdnczOdlPqGyB0IkzPpBL4pD2b2tAIN/zwdyoOOKO7i6HaAMPBKO9603v47gfeyrbhPXQaOVYObuFVZx1DVA/pbM4wd+Y0aLNVnHnRksm0NDk05XL0DAxSsutsqYzSU9xBb3mA7kkFFnRPYm5XN05WZ7A2wtq+Xdz0yAoOWnA4vRt6eXjDJmbNacd1XZYtMdnR08+A28vgaJmufCf6IFz761+STWXomDaVDb172Fbr5aEHH6Wo1Vi1aRN7du2h1OszeUYHh8ycSSprcPqSQzGa2tBJUSpWqcVZypWIE089ksqoy2Dfdrb3lzj8wMPINjWrIvTQCSlhYZTSTJs6iRWPb+Kko5aRLmTYNjSMXhO3lsMtt63BTMOKRx+hWBtFz2W4+vs/YeeuXuxZ7bz81S+kU0uxsLnAY5seYfasGUpgaukuEAQSt9Pp93eQx6ZJyuYxaOvs5JrbfstJhx9KMayQzzWRtmxGQvDNgF19I9TiIu1NnUpUuumuP7On1kvZS1EuDiv6ru2nyToR21dt5+FH9tDRNos169Zz+vOOZ1auiWp9hNu23M2xh8+hpaWN6fOm8/idt3LisoNockxysyYRB0UGhwe55LOvYd2dj9GWbeLt7/4ot//iOlomdWF3pDjr7DNUl1h/pcgH3vdGbr13Bf2DW5l08FHcfPdW3nrJV5jV2cQr3/4i3vmRj/HxV72apV1zmHNAF1ONNr71rl9Tz9QY3ruXd130DsR89rY3vYZvfv5D/PjGX3PJWy/gyKULeM/7Ps3bPvI1hgc8vvb7Gzhwwdnct3wtz33uMcyfPok3vOEi3vril/C8jg46Ugb1YpVsoaDmV1xwmjjN/Cq6VlWfFKH08sUpQs0hDB3Elxb4Yx190ncnlForNrFUTFVYGT6GgCdEfFIaoXjlYqIowpIoo3wnEAmJ6j7h4hNbmLjovDiFFYrbNatImkJ41TVfxRx9X9xXPqHuYShQiCR6LUwvQjcFcBETCvRCRJe0iWHJIoiJXXFCZdEFEBKLq0gcgtK7Z4vlDCudITKFEiwwAEPBI3ShxsoHkkAzTLEgRgTS0TZGIFFOP9UW6KiGMWLPI+0EyqEmx6SZYIn7LxTXnoYheFBLlDhTHY/oZAKxMCTmbFhqrlQroukS16vK1efXAlzfwK/WlWtO4rhCycUIsLOOcgnjS6eeuJsi0MY+e4XsaoRjMBH5PPWk203C0FE4Fn8W6mwkLio5PgdfICjRmAgrAou4yAQOIh1rUolWRwTNED2UeRIisg1aCsfUVSRYaMGaW8PJWkoojKV3UQRF31WfKYYSu1KYctYR5DMGfiCU4jKaIhGHkEmhBy6RmcbMSPQZAnGKiiNTro1UF2bkeonrTiKcGpEU6tV1IierrpHniqsvHOtOtMERyItlE1SqpP0arixncYbGKWqRjhXVlX496obk0gKAqRFrPkZKRG7pmBtzncaRNgZTCTPKISduNdPSFZndzljYKdFsI1WRIM5I3w+V6xhxmPqhAoKIm1OPJLbrytThmDZZXfRPH01FxgPMTBYra5LOWDjZAnpQUt18sVdRwpzuVkiHHsVqoKLU0gmZtQ1SJnhaGieuMzjq4g2WxuLuhs3woIZfk/cYBK6mxMvIL1PXbepyPTwhMWeIbenHHIO5BG6Z/oGSiubLfFVrdcrSpeiXMQ2T0mAN12rBc8VpqVEdHiLSI0ZrKRVVFtE0V8iQKaSELIUW1vEV/CVQc+vrcj1DCq3NWIaH5glMw1J0ZAWwiWoYlqE+D3xfYCwCOSmQ1zwKhTRRXH2m/vuyf+wf//AYD90YP5L+NhmNgkUjsGL868Tdl1BbGyEb4toS0e7Dn79vwuNIxLqJRLnk70/SXm/5+ZMCpTwmf2S/jcTexmMfv61kP0kvXNIx1wj7GN8R1ygMymN/AeR4YjtJx6GIU3JDJH9P+vOUaPOEK2v8sSXbSG6gZD+N8I6/6s17Ynvi+hNBMTmmp+r8+4u5eAoAxb767hpdmE8lkCU0YDmuZJ6fSpRMzjH5PhH9JJ6bHEuyrafbxTeRwPZUAIzGsa+b2H3N2d8r8P2FY/SJ10pnoKz/RoGvcQ007iNZ7/+vlO//q8f/5fjkv7oz7X+jODb+ejdWPvy94/+1zsdLGq73v+PcnzGRb3LLNHUzo8caTekMbU0FjjxkLqWgxpw5M2jPN6kbxOHhKr+7/UZSZYtwl9woxaqnSuJ/olaIO0fuX4XSeERHN6cvWErUlMMqOOzSehjqHWHb4ztYMmc+ldERrrzml9x43a2cetLL2bv2NjoLTdy3fhWf/PGv2bhrEzfd8zifePdb+PQvfkuHVSDOwBmnHEsuhIOnzeOASbMY8IrMaZ2En4JKsUKBPAfPmkzJKHHzigcJO5uY1zmLZQcsZlF7N/21Eqv37OHCc05mpFRjS18vPSMVzjzpTGbOsLn4s99nuH+EarFKk5PhuofWc/CSg8RvxGBc5OHbH+bdF17Ehq27SMXNBPmQZTMWqeL8ijtK3TfI53JknSbuWb+e5Vs3c2DHQmbNnIHhWVCLWb1lBWV9VPU3rd3cw/HHn8jtK2s8uns7TVqeU5ccyuO9W6j6dTomTWLFms3cs/5hevsGqYymOPd5R9Ost2DbBdUXGBdiSrvL9NRGaMq2cPfutfz2puvY9sh9RJpHi6HR7IiDyqSjdTIjXplzL3geZ5z4QqpDZYYG6uze0cshC2Yy+8DJLF60hJMWLmbZoSdxzFHHcM7xRzF98RQOOPZ8jlo2j9FahVTeIq2n2LZxG4PbetlTrbP+kR0cvWAWux0oVzzMIM1QT68iNPqxkFEl8ubQmWlmeKBCcXQUr17DIeLRx/dy3fW3s33zHuYvmEHXpDYKNhzY3MXo3iLLH93IaGWElGYy2F9XHYmPrVrFtp3b2VMe5hVvP5m+0QrTuywKms17PvIp5s+YxY61a9lTLeJpEd3VkFvvWkk80s8r3vZe3vXxr/D7VXfy0OZH0ao2kwrT2Ll7O1/68pW0T87zqtPfSKWvzB/uvpviUB/u0CgdMw/mS297Nz/79nW0tXSzdude5h18KN/8/KfJ5oe4/offZjiIWb4+pqWpwO/XPMxwxWD17Y+xcqiHC95zKjOsLizL5JGtj3PLAw9T7XNZvnYTjmZz64Mr+ONdDykB9xeX/55582dS2RNy9tkn8aeH7mL69KWs27SHD1zydX7+y9+xta/IcQd2YaTSGIWc6vPSRaiwRAwI8YRMLE6qtINhSLRWYrcCzQiIDYm+Cv3VUp154kyVmKuIR4FAEwwLw9KxxD6m60pAMiR2Ki1/AmyoegQSEw5csnYKNxIRSMcSh5cr1Ooa9XoN20grMUl6xgxcgihNGFjKtSYRXDsW55Y4DUVoDFXPnpOxMC1HCWcCAtF1AW+4GALNCKU/MMAQIcGQ5jk5LU85ukSoMHV/DPIbyrFIRx5UXBtHl7hvDbeWUgKUiEm6iEByfrGnwCF1X1f7NEUkFdHNtMdAD9IbKAJb5GOLs9CxCHVxhtWINIvAE0ekZKDF8WgSW+J+zKk+ObHpSU+f9CEKZEK6/HyJKYvgJ/1zIiTGgXIaittNqghEeBcFUtxgcRRji1sr0pQIGjuWiudL755pRopWLAJp6I8Jt9Jdl0tLFDpUHYNCXLZEIBQIR0q6DUO00CX0a8SGRGRF/xTarqZI40FUwZZ+vbw4A90xE6isJ3FYqn7HNJWS9M2JmKgYSNiOhlaujrlEYw+tXlTXx5QOQCcklc2quGxQc7GzIuwKrMLE8KMxETkQV6m42hwlRkcCsxBVy8pi1GtohU5qYah67aJUnqheJZc18VPNgvBQtQq1KI149yTe7delxM/H1CvE4hLVRSzUaCmIiC3/SI2qec1YInKLh93AzOao12rKsaj5pqI5Zw2JbYvAK52Omnqs5onoaSkHXc1sUqKvJ+lb6eQL60RuRUVc3fIwsWUSVapkChJ5Nii5UDUlmivis+KcUPFEOhUxDiUKN0uHpAhjAjsJS9Ri6Zs0cVIeuSaJ2suaNhVtWOK+sT+C65axZV6CkNFRie8bZJsK6r0u8fhUWxO5qKrAHprlo5sp8hKnz9nUAgtD+gclxi1wHS8mGBaqdpmauAntNJ4mnx/SRxkQu3VMgcq4HoN7ixhaTcX8M1ZELUyjmXX1Tq8UfVKOTkubOLJd3JFBfDNNcaSKLu+t/WP/+A+PiYSI5DERaxInVSN9VoSlfTn6RMiT2Ob4uK/cHMjNlYg5Es9sjHCKYNHozBvv9ms8RhFC5PuJHIFJJ1wjoTQR/BKXWCNIZDwQRH72FwCLcYKhnPd46msjbbhxNFJYGwEkiVgj+0m233i8jdHhRmErmf8nKbFPnNNVz9v1F2LYk18ngD08FWH2STDIE3CQ8c+V7TVGp59KJEyu+0RAkqfqP1QwioafJ3Pf6AhMrtnfgk9M6I5s6N+baDTGxSc6P3m9iHNPx004PlbdeI2TbU10HkkMN1k34miV7xNQx/i4+36h7//2+GeFlP/LAua/Srz6e95TE83vRNfs74GD/G95T9/3b1hbz5jI12K7TG1vo7kpT50AL6qxeXsPyiQQemzv76d1igQ3Y0UQLHoVYkdEBDH4yO15jNkmzhDpoIoVffTebTu5a896du7ZQbC3Rri7ohwTEs0qDlbp6x1S7qCyU1TH8NBjq8imUnQ2j0EXpndMU47CnfUhXn3mqZipmBtuvYf+vn42Du7mofXruHPjI5T31ukPi5R6K+pGI9RdVq3fwxmHnIiRNkjreaxazPadu1g53EM58pkytZkmJ0WhI6cEKCMDN/3xJj7w6W+zu1JkZ/8gc6dMo9nMCT+UVBzTN1Jh4727VVT5F/fcRevkZrpnteG4Dv3VYZZ2zsOuicPCZXioiOd55CoxBT3L7tIg9WFxF0nheopgyGV4Z4Vy2SVy6mxb9agCVBw3dzFpO80hh83loLkHqp7Agb17OOHwIwirIVM6ZrJl+1Z+etMf2LhuI67QMbWUEjyWHbCEzkyB3uFh/JJE6Vr47Zq1/P7+O5ixeBbTFh3E9feuoHNmnnPOfQ2rVmzg1tW/5qCF8zhg2WwqNZ+fXX0df7r+djbv7sHDYv3q5Qxs78FPx1T7hvjx97/CjPZJDIwUKfaXKesaubzKqWFK95WV5tbN63jg7sdZPtRHpssksvLEXkylT4iXkNZMqqMRTs5htFolnS4wb9psIi1k3qwF1MMq9zy0lrVbd9DbP8hAzafZ0NBqNXWNe0slNDti484eBB7bPW0ORmTzhY9fTWSFZLQMhc5Ozn/Z6Uye2sH0bBeb9/azdv0W2iYtZefeIi9/7zv54Ltey+p7f8umhzayp3eQrthmyrLZvPcd78bC5k3nvY6mVpPv/OjLzJ0ylUwqxVknncQNv/gGm/p71Jp97wc/yeGzlnDQwhmcdvYypuRmceeuNbS0ZWgaWckbXvEBSgOjGE4vF17wSt567ot47TnnUK3WOfyIwyk02xx6yMGqYPjCU07k+aecjudbnHP6Cdz8/T9x8cVvxibFbXfcyfmHnsMtv/oN3778ai756Ns44/C5vPxFp/POiz/Ag6vWcfiMFnUTLn9S6QwZR2J7aRU1VdRTt4YhfViifQmtVhNHGhjipBJHmAj2kXTwediWMG9tpX3JrbgIebpEFsMQV8K44qoLbALDxjCFvpvCc+sYZqDosvLqOCPRQhF1DUJP3KQ2KbmOtq3eB7oxFo3EToM46SSvqhsqDmra4kKMlBNOjy2qvuBVTNWxJoKkbZtEQvgUh5E4znwRkG3ioErKFtaFhmXFGCK4qF86mKTTpophSq+ZYwuxNYWeMhW4IhLtMxYBylPRYxHNJHssBrRQaMJRXXWfKW3IDVUKWT4XPRFfJCJrhGPPD0qIlVmAH7bkbcX9lx5zLmrSc5bKjDmdQ6HixhimrX5RIsAT08wqEU0aGGzVxSfwBwtHYBOar+KliiDsBpihOCENBdwQkq905YVuDV0iqbG4/TxGq+LGEwVO+cWUmzKdl37AMcHWd+vodp7iqMSAZc7lfRwrF5YhNFtB2kgPY6aVamSPUYXrVUxB/Urs2snhCETFNEgZQnqRzjUTO5Ke0RhTItR6RsFIhF5bLQ3ixBaWX8eriOPQU7CfUMCyUjkn81qV2HeKSHW4ucrFKc5RV+jHeOTbc9iWjxOPEjkp5HKJizK0xDlaIfKLam50M8AS6rCWRVPxbkvBRtK6QCMksq4rMSz2xqK7kZaBoIZh+6r7UEi4IiZqYUw1CMi0OpTLkaJZS49e7Ms2Y9FEcaxR1VUpZOrIrSq3na4JZToglWohjRBxM/g1IQXX0VPN6hw8Ob4owFa/IKsxqux+GqRzBKlmQnnzWTGjnkmKqlrbYaThyb9XsaYEdfHSNbXnqOVax5y3hrzPSzhmoOjJfqWE63oqRl8bqRHoIg4H1Ooyp9LrWMWIdGyB4ugusWaQCT1cV6cWjiDp33whTySQElkaMrdGmmoo5G2bQMtIzSBxqlk5bFXfZhhjpsZc2ykrBrdGtRaR0kMiO6fgQAUnQs+3PVP/fdk/9o9/aohgl/xpFIpENGuk7yYCS9Jx1/j65KsITnLDJK9tFNTkxiV5XbKdxImXxHX31b8nI9nWeKFORqNg2CgUNcIxknNSbrf3XPxX4lxjhDRx9TUKSkn0NnHgJSKbCFrJ30UElD/y94RQnIzx0eDkNRPRe+XvIvAlAI/ktfJV/q80kcPyr+KjT5Bz/wK+0eDwS0TA8T8f7wIc/7wn5+sJt9n4ORwvZjVep4keS467cW7kz/jXTERy3tfYlwAoj8v1EqEsOZ/G5/6tm+uJIrNProeG+Rk/VyIMSoQ6iec2/jzpT2y8/slxJJAQ+V6JwU8IrY3vk4kcofvH/53xnxDp/pPutH+nwLUv4e2fdSdOdM3+ng7B/43uyGe9yLe35jE8WqGj0I1uGxTrPnpgQyliw6bt+GaNoZ0V9Jy4JEKCWkChJS8ZMPSCxObELWIpR58m0A6J7fkaS7tnKFHB9wNmt3XS2SY3pTGD5SHa8s0cMnsBubib8950LtfceRcD5TKPb9nBjO6p7O7rxy36uHHIHZvWcFDXNCalLO5et46jFi4lThs0pwp0dbcSDEmpu4kVjAlHh8+azU9vuoWCkWLjxjXkZmaZ3NKCI3eTHuzsGeLK39zO8d0dhEbEwGCR7fEolVyN9FSbed3dbKztZXu1X8XdRkZHqAY+QUvEaMmlEBkE/eIUMenubCWbbWLEH6F1cgHxJB02cz4jtVGCjIWVgVTBJI7LyjGULThUbJuKHjB1RjdLZh1OnwttqRxrerbw0jNP47CTLsTdM8DSObN46YtO47Z77+PQpbPZsHUjzXmTzTt3s7lvL7VKnZ7BPmZPnsbjm7aQKzTTnm5mcGSE7ikOF556KmmjgJGtUQw2cd4ph9A/NMBzTz2T1pY0zkiBw45cyMnPfw2f++K3WHLQApy8zebH1rF29XoeuPNe2ie1oY9WuPym37H04CnUUxIHDfGHXVY+vIpTlh3BJZ//Bsc95wiqWoVfX3EjBjUWzulmsDxKV3ualMQbpd9Nj1TsetAbUC6mpXNmcEjXLB7espqsLaX3ozzn4MPwyhWmF1posVOUayV6qhXclKEixaGACPSYSU0mxxx8Bjt3bmbBzA5mL5xMOpWmd3eFs454EVOmTGHOohn09Bap1YeZ1JbG7wt467tfwoM330Rza45Vqzfx7re9Gc02+eO2Vcyf28YHv/tl1m/fzmeu+Sa3rLlROY3kWg48vpnKgnk8tmkzD695mDtv/jWfufgNzFrQwf1/vI1v/uAqfvDTH1DaO0wq3cxVdz3ERz//Nmb3VDl00dFc9bvv88DyO7h/xRpmz27m/jt2oHshM9uytDe38D/L/8QUu4lNPVuoSLR0hs1pJxzFG1/6Nn7x3a9w/+qHwKhy2KIuzn/JW6jOzLHgqPPBG2TL7j2EpREMTafUt42lHVm6ppa45qvfIPCCMUeUiHXVERU5tcVtZpiKpCqJRInVpUQMVK1zKKHN10M8EXkEYyDdfhLdFZCORGtjcV0FqlvLr9exxaUmcAVpLpMOPRGdFChA1koA4i6U0n95TKKhgYAfRDSU5KQ3Fs21bBXrF8FLus1EDJPPGXEjWpZPGBrYQjqNYwIRaBRR2MD3DCJTopIhqZRNKN2AjkiRIrJJVFMilrpy/0k3nwhp0ucnfWG+LwJnDVMPFQk232SjBxpxVeKx4jsci8j6YnWzdDQtrRxr4kaUeKsjzWfiBhQxTXcQxUreG0pI02JCcRaOVtA8cVN51DwRmBxMTcfRbTw3xpf4pcB8vDJW7BEEEp2NVVxdxMQwlL4/g8ivYVkSE82qffAEJEOiyvJZK4RgiVEbhohNY85DR8RJAXb4IuCIACOR1RBqPmY6D3FlzC0pUe6wotx0CmASaWpbmsS5Y0+tF4GNmDnpNC0op2jk6GMuQ+lk80R0zKLLeWDhhSblyFHkXOkyFJCEojuLw9PJKpeZclnKvw31Oma1iNGUV65Mza0TZSzVZxhGFlFKfokR4rs6lWIdvxpR97PSYEfK1BSNNifW01wB37dx9bQiS2uWwDnqav0HeMSR9COmsATIohZeSCqXxqu7Spi2RQCv1ckIHMOtCBIWt+6r8/MrnoJvmGaA4VVoaXeUa9CUfsCqodx3Uu7nk1H/fkr3nnQ8lkeHqYh70vQxrbKKh6e0mupIzCDOQ4HRSh+l0oMVxTm0xN04SMaoU9ZsHE0EYoPYyVEbdfGHPTI5Gyeo4lXL9PbFpMQpLTH8tIWWbcaX/kTTIiXO3lyb6qwULV/eilEg1F2drBFRLVfHCL1GjbQlLkULO5PFiSs0F1rJtVq4VZfYr+AYQid2Jd1PNif9mxL/l15EqFcF+iK6f56sVcMrCpE7jZbSSVkiKOvKyVtIh8QZk+FaGm+09Ez992X/2D/+4bEvEm2joNIYWZW/iwD1VMJNsr3kNYlbLYnHJpFMeU7Pd45QYoY48xJRQ8S/RMiQx8R9lWwjEUPk541uQvlettEYoW2MuzYeo4glIkI++X2DAJi8fnyXXyJQTuROa3xOQvdNzjUZ+3I+Js+R/TWSd2U/jb2AjcJm4jgc73xLxEUlzD0hIj4VfELt/2n00olYONHzxq+ZZJ9yvIn4JDCNxtHosGx0RSaPNX5tfP748VRde4204om2r0TlJ8TLxuvUeHPdeL6N7sjETSnblq8J8bbx+asHjnwyri7PkShuo7CaCLXJNUjEWOX4a6D6SnR3/BjfQynrIBFGkvUn7s7/LW6g/ePZF/38T7r//p0C138K3vFsfW/+PW7Df9e5PWPgjfNe9UKam7MMDIyoLj25Ubc8C70tZG9PSVE70y0ZvKLPooWdPP7YHuX60FIanc1ZegflZlFTvV9WweT4GYvZGg7T6bYSpIrEcYre4RFG3SKWqzFcqpDWbFoKeVK2TrPVyqbaAIE3iu9CLp2ivaOJyz53BW65j69/5StsGBlkQbNFFMfct2Enk5u6aM/neWT3Bg5YMJddm3rpasnRG5exjZgmchw4bxbVmsZjG9YQZg3aI4ctIh66Qv60iGsefk5T5efSKxX7EXaLSS6WCF1MWJOOpRRB3WV0pIpt20RmSHehmcOXHUyOmOXbt3HElHnc/fAK6nbIoFfmJYecwh/3rKA2WGVh5wzOP/O5fPHanzCneRojewfobm9ly2AfI26Z0485ltec8Xq+/qPLGGUvft3hecccxs9/fxvt7Q57RgaoSafSqE+r087uoR46Um1cdNGLuP6um2nyJW5V5oClixjw+ln1yE6yjsbJz3kB9953i4p6nbh4Hrv2DrJq6xrSYSff//Rr+ckND9Kzcws7ByrsHuxn3ozJyH25FWpMmTaJOx9ejm3qpIyxG/LpUyfTqvsMDdfpLZU585zn8tC6VQytH6S5q4Wd/QMsWjKbDSt2MmVygcd2bGFa8ySius+2+gC1IVcKtuhoyiuCcBwK5CWHExq0T53H8J4NpNsdtm/pY/7C2fRu7mHIrzKrfTbHnnwMd932R/KZLKOeT1vaRnOa8OKQeR1duF5R/EWqN2rl0E6O7D6JaqUH8ha9I4PYnkZRIrteqLqt3viis5XjcOPKR/nupz9KdsrhvONTr+ayS67kdz+6FMvKE+qDXPfQavTYJdfShtszwClHH882v5fS+kEuufR7rLjl52xas5Gy7/Ha976Xm/50NXfc8DjPO/kQrvn1dTR1zSRv2jRlTQb29DNzcodyiqbKMOWQqax9cBef/ebl/Pqay4mjIj/+4x/5ypvfxuObtuIFDveuvpfK6KgivC7Oz+bwcw7i61+8iosuOIvnPmchV920km39Ozigcw7PXdrK48W9TGmayTsv+fZYhNWymd4+hSilKXeZ6HjiHhOBSDnnQo1IYrRBFSeTwx2ukDY0hMsbBzWUQh37mIZNIAKVOO4EmiFuL4FUiGjwhDMscGPMjFBu68qJJQKbuOB0EahUTFaEKBHpTCWcyGeMom3GJmmJ8IpTL2USVjyMlAh5Gloobj0Xy8nhlatKcHKy4oqSHQtE1iIUMqnEd3UNTUi84ZiYI+KcUGtF4HRDH0vFLlFCUixFiBldwUPkCVE6J8qmcipbdki9HOPY4iqTTjGBZFgKIWBqJrEIZ1ZaiYaaLvRifcydJs7CICCSaK/8Ebedil0aisSrYAilEpadHfuczEg/oQjWsk1x/kkPoE7JFc9igGG1YARlAstRHXCxL0K5pwApgahCynxoEVRL+EaWtOHjezG2OKyUQDomsJnZPHokdF0XN7AxJW4tDisR0AS84ZjYcY1Qy4+BWUR5k0imBC5NcTPG6CIK11xcbNWPmLakd9FWkWLbkV9rOArCIU68dF7HrQm5OMIyRRjVCCL5JYenKL+a5aD51hO9eoaCjYh7zq97xCKsmppyappCG7Z14ro4UUMVa5UORon2ikgnAAfp6zO1mP5KgKki0VmiuE5c9/FNofBaCJdC4BKmuClj6egbEzxlXQroRf49MX2XMOOgmSZUa2hOmlq1imnl0PUSup4iEvHViajXxBnpK1ekL0RdofC6IXZQgVRORYrNcEwYthwDRzMI3KKKAnujo5iplJTv4Ud1nIyD7xpYOZOwVlfnKG5NId66CtQhUWMbx4molCGdtnAVUbdOPTCINU11PIroVxqMsAS+4bjUag75pjRRRWjWOqPlgIxEkctSs9BG5PYq4m46n2W0v4aeMsbi65k8QVWAMoOEAhPRIoyUSa2mkzYDRZPW4uqYyCtrEgfHEVp0lpEhl3w+VlFmEUlT2QxRuUioZZS4nGu2qJZkbrOYsdRa5LjmB5c9E/992T/2j2cMvCEjibxOBNoYD9hofDyJ6E5Emk1isBORSSei9yaRUYERSIdfI4ChEYKRkHlF/Gg8l8b97wsE0UgTbjwniSlfuKf9rxyMyXOSbTeCIRrF0uR89wXOaHzuUwEtGgUqOU9xsz1Vz9t4ou/445soZjpRd9y+hN+nO8Zfo8Y1Mx5aIjf1Ik4lzsXxBOS/ZzwVoGSi+U3+3jhPjY8l9N/GOf1b+3g6JOKJ3iPyfSLy7msbssYT4U9+nojijc/f7wLaP/aP/ePZTjr+t4M3pGy8Hrtk8g5VL+C4A5fS6w2ze9cImTab9q4C1aEaTVMLPL5279iNlioTDynpPkbeUOXsF5x4Mt6Qx67+Pqb63awf2cx5z3sO/XvK7O7bS66UIpUzOWDqQmZ1d5IuWPRXqmwa2klUrfA/P7yOXLNJ1a2zZeduTjv3FF568RtYumgOV3zl+zy0eRf3bd3BlPYuhvUhNvbtoVlPMbizH98IGSzX8YcChnrLbO3by90r1vKn++5SJfqV3aMMlUdUkXw+36bcWy885jAFDihgkxEBMZKqpoChEYkWOyzsnsvMdI5CJqMEDNtOcUDzNC792Ad4x0tfyANr1lJQN4RFTnrDu5Qr4phZC3l850ZG+4oKVlIcKPKDX12HVtN5fMs65hywhClL27C1DE1mho2bN2NNb8MzffbuKbJ6dAu/u+NuNu/ejm5lmNzWzZLCVByhFZo+89omMRwPc9Uvf8a2vTtZuWezck1t3bSdqbSqbi9xPy6dmsEIarRXTaa1dbBoxlSWTFvIgpndXHPzo0Qpg5auLpYtW8rh86dw8OxJLJi9lEULZuLvLDJz+gymtU1l9rTpbB3q55KPfp0gamH+jAUce+RJ/PK6P2HQzJyODupBxPyuVmJqfP9HV7N+9y4+9PJX88qXvpDuzgIzuzswWy1y+RSD5RJOPquinKedsAwrq9NpuORSzVRHqrz2BReSHS3jdxd42yvfzLJliwiqHlO7p/P1b/yIvr5++odKlEtF1fG0ftcWtvX2YegOO/aWOHnmIWTSZYqVIXZt2sJosYSW9zn9pS9i/rz5DBqD3L7iIY6dMZXhSkUJRfRtUgIfGx/g9Jech5m1eXTLLppjh+Koy96efr5x+c944Wv+m3e+8bNkps/g0u98hNFiDSuts2LTWn7/01/i7aqzdNFC1m/o5aTnHMrLzjgGsxBy6IELOfrIE5h2wBxOOul5ZLonkYvbmLV4GjvWPIThNfGzX9/IyTOX8afHVrJ46aHcdN8faU+lyeVb+Pgn38vuqB935wjv+uhbKNX38uNr/8zGu5Zz5hGLqfT2c8sDW6n3pdi0c4Dzz38Ohy09hNe94S1UsxF1cfZYArUQ91ygrpeC4tqWeg+LuhuIe9fI4qp+NUl5ZtDFNRnrRBLXlWipCHxCdo18akEaU/XsSY+cAAsk1ivACImEjsVYTUdIpx62EvUEFiHin9BVbXwtUCKyqQX4EjGVrrlaZSxGaWSUKGiK6OdGBOVRFQf0fIlKSsVdrCAHbkX68Bzl5vKDWHWKSVRSiVfi3ItU8yCmkVLUUUEXmHaEkbbQfTlmi3poQ6WOpVVV/1xQG+uIE6FSnFVCiI0tiT2roKqK445FWg1RZHCEKCsRaaHU2kKzddU56IaL7kmE0hsDaXie6ieLfV8JYPJZk8JSLi5x3XmRQaUeK+oonoke1Qj1MciGK85GM1JAjVooseMxp55ATMRBKb/UkEirgCBIaeia9AhGOAUdPxBxVFyFhjofIQf7Al7RPCVCpaSDL87huzXiwEcX8U5EWmRuROM18KqqclX9g2ObIXVfev2EoBxRcU0CcVX6MWZaSuYs9JSGI+JgFOOJgzelK0HS1NM4iqwcEnoxscQ/vbpyV4sga0euIivL8cqyFCenVDZkW1vwlECpU69HClIR+h6VUo2yUJT9ACNwVb+jOBVDuSZ+gFetjbntDANf1oWpKYhHLOK17EZIul4J39TQfHFRGupzXrTfbM5UAqbEyQ1xwUWhOh/T8NX3tRGPyGwmrNtqv3Gm/Ym1nUW3YywBxkQGRkFXPXhh1UNP5ajLpGpybVqE+4TTnEHxb0J54+k4dohb9Ulphlp7lmFQqY51MZpunbAypEArpm6SCmXdGlQHiqTzKRWvN0yHrOZS7StSrmsMDXrks03KAZ3LCwBmAN1uxS7kqQuduSDrxiRINSnRNQ4GMc0UjmNhOeJkTWHrRchmFeE4o0Rdg9AXR6qmSL8DAzV1nFIjqQu0S0XXDcJMu6IZ6/k0pRFPCaJCdBaSeDo7JlTvH/vHs2kkYth4gU9iqI0jEWsSyIIIMiKMJdtoFKhEvGmMZY4n2ibR1sb9yc8Sx5OILEmvWeL+EhFGXiM/S6K+492FjdsfD3BoFJAaxTz5Iy6/8RHY5DWNj4139SU/E3FoX8eSPO9JAXCcY0y+b3QgJu482eZ40Md40TLp5kviunJ8SdS2kbg7/pzGi1AibDX2FO5rjO+3E4FJ9pvEUpNzSKLgiRCc7Feem0RRk/OTbSaOyvHjb/Xwjb9eE8aJnxDRnpzj91z85Dw1juTaNnY0TrSP8aNRQJxoqHh3Q++hnG/iyJwImNI4Egdi8vMnqdINz5f5TP7sH/+3nXzPFuffv2M8m9bz33ssz5ZjP/pfsF7+1W5I85na0KJJc+gr72FXaYRUxuTNr7mIu9c/zqTAYNtojWEp9dZN+tcP0dk21ivlRgEp3Vbk2TAfY4cO195/q/A3GfWr5IMiZyw5lCt+dD27BwZxCgYdHc2s3L6Vpkl5tod9zM1PZ8HsPCvXbFGkzvd97vX84AUncudQlq/+6lfSZI4XeIpC+/M3v4Luthbl9Jh3wAzuXz7MjBabPYZDVzpFtlxnc+8AB3bPYvnWDeTSNlkrT9UqK8BGTQuoVXx1I3TswXP47R/v4Re3PUBheoHhYgm7qGOmDOXysQOd58w9mN/fcZcwSFk6cw4j5SpOAb7+nSu5/ldXc+/9f2LzngEWzJrKPWu3MfDwx+mcllFz4mRitGGTyZkWtg7uxRv1mdc5idYoTWV4L+tW9XHAgm5WbvaZMrNbXYOhvmGmT59EONjH+k1bOO7IZZTLJaYtmkV1Ty+Vnb6Kr+Y6bA4vH0gxrLHsgJkMr1rDuqEBTl96IKt3bSGt20zraqVr9gzact30ej1cfuP15NKtdGSz9OzexcO7VtJk58hMyjO6fZRJTVl2DFbZ23MXupNmSms72WqRek36n0Jedvo53HjFl5nS3cnqnvUc2XUgp5x8IplaSL2lC6+yk5pb5JK3f5U7b/kZn3rNW/jjuuUcNmchO4b2MrK3RmvWIRXpfPEdL+GzP7mBUtbjsMVHMb2zm93be7nkc1/j0o9+kIcefYRLv/Nzfvidr3Lr9b9g2QGH4W7fRH7Pdl5x4QWkOtK85vln8+hj6ygT85FLPsedv/kJ1z5wKz2D/SzTp1LcVeaRgR7aHJtZucl88mPf4X0ffTW9PQPMa21j/uwFGC5KMNj4+FrWrtlJaAZ0tHax7Zc93LJ+BfmMxuBgnQXdnbR0NfOO97wOx8yS60wxI9/FY+t3MpksI0WP7uYWNq95hOldU+np2Uktiti5rZ/J+Xk0N1kUiyF+7HHQjCVoqQzz2tuYctBJfOriN/Hn+k2UA/jA297ObXf9me7mTnasWsdZRx3L9675HeeecSJvefkHCGKdlY9twtJNBitVzjvnLIab8/z+F/dJoJSzX3A6I719/M/v76J96hTqLQVuueM2Fd3ULLkxl3S5rWKEQVm6w0wMac+zDXRfRCARpnxF0DQ8KUrzxnrmJPoodrjAVa+QhKvm2Kr7TjoRDUXXFW0nRHdDLAEUIC6vuurLMx1x7lmqd81W3W2uAhmojjsrjU0ZV+APVkoJMUHkYtarCoYgIA0REsJI+utiMi0WQa2uHLWeIGd8EcV8BczwhERrGYruaoi4lsmr1ytHmQAsAnHHSe8gSniU4/TcSImMVsZS9FpD2cVE0XHRNHHyidoZEkSeipxKNNbIpgniGF8EOdtEF+qoRGFlHupCztUxrTo1L4WTilVHmbie0DJ44oSTLsKUxHR9RbUVsU6gISJ8iXATiVMwaxPUjDEIRVWinxKHTavrJG42EfUFbmQaOl5dxBgBiIx10+FKwWBdxZzrdYnvjolWtq79f+ydBZxkZ52un+OntF2mxzUzk5EkEzdCgAQJhKAhuLsGdmEXX9w36LJhkeCaIMES4jpxG/ee6WnvLj1+7u//dYpb1PaEwGYh3Dsfv9BSp45851RNn7fe933wDFMRjR3NVw7HyAvQFVa2hiWRaqEPa6GCnIgI5koMWiYsks5AS0W0I8tCTwMM+UTDMZWDTqLKZtYgqNbx5T3WFQCG0I2ln0/owBFZ+QBFF4KwiJqG6kH16zPEYXnPlQC3niviWAlRIL2IAozxsDWoTAr1eIZybBNT8W2pb1QuMlWcmJV8uAhOVSVEC8nVcjNYZkq1KrTjGZJtoCyOvgBrCaoeetYhVgAQS/UtdmcDxqciNT8xOWzpmIxSKqFO1kqp1mPy2ZwSH+Okhu1I9Feuc7mea/ihuEMNnFwBr1IhSet4tSypxKX1GNdxlYsykH2uBcrxNzVeVec309apRFtdKxH5QqK2MXVP1UWIMClCdpDNkXoB3tQEVl7iuQWsoI5daKdenlb/NmrTAbrhYOZjrCQl4zoE1Qns7jz+cA0rmyGMKkgi2RHHpGVR8SKyuqd6WeU1mmR0jHJMTdPJ2BFp5BLVfAWhiUwdoy7lqhkF09Ask4Idkvol5WL1PWnzlN/Lv7XdM9urlMk5UA98FdXOFlyC2mG67uHx9x8ScRUHXLOo1yy2/alY9X97+xqjEXtVgkoDDtGIij7o4lIOvxbhRcTBT170f+OoX84aPPms/+vWa4xGX98PW/a7Ie41i1ECKWiMPU3LNu+zPO+qZ69TgtS3GPxvxygi4J6zZkRF9dymdez50f913jXcaiI2irjWun9/4kgTiAIPb8h+fXKWm8LW7jr5+UdvGiBtmgMlQv7ofHhQRPpjFHQWV2Or669ZhHoy//f3sxFqG6JSA7DRfDN7LX/qRJTrq9GZKOtKH7xOmo+p8X2DcrnHuo2Fs8zLY8eG2HPhLf/N+Sjx2GaX40M5EWfrFmx+TKK1P2xQlP9KJ6Oa4wdF1Yd0an76U+p18UkO/LfHGy69ZmeeuF/OvHi3mqNmSEjzHB0e/7jjL43J/r8A1Wi+lh9qPFqu7Ye7vyKoNc7P//a+n9S0rUfqenm46/zfHo+Yk6+r3WRsYpol8+cqkMMHP/xlJkbLDCY1ujrb2LB2ETk3S39HnsQz6TSz9He1UY8ips2QbGjimTM32xL7POqII1g4dw5+GrHu+JWsGuimOhHQITcpSczOgwcwA4O7tmzh1ru3Emsxr3jSuazsW0LmrLfwi2vuZMGCPjKOTt53eMdrXkja5jE+XSGop+y8ew+lsTr7/VD1Qd27ZS8TlTrd+Xbu2reDlYvmKfrhaH1cdcp1t+VUp9TAvHkEicblN21Ed3Qee8oG1nQtwZa7vpqmStAjPyKIUn72u6s5ctVK1s+bz/a9+9EyGpXxGhe+/9WEaY0tpYrqmrtl81Z0I8bKaCy0FzE0UWfXzt0s7uol7yQsWdiHY1rsK42itekcGK8wFk1xz45ROuZk2Ts0yjvf9Xq2797DpuFBDh44SBAG3Hz/fepG/c57drG4ZwEL+npI9Jjde0aYrk8xPjrOEs3kzLPPoMPp4cdXX0m5nlChSruT4zOf+Rq3bb+fYmcnK+csZs3CbhbNKbBscScT4yU67A5WtC9hXrGbyekKO3bswiyI+w+80YOUYyFMRtSNhJHde/n95gfYVj3A8pWr+OEfrmbvvVsZ1CZ4YGwb99yyhbCa4cVveA4/+MHP+devfp5OMvzhpjvYN1liLKkzNF1id22Kj37jMryhMdzE5bP/8SUu+eFv2Do8zCc/9iGWHr2Klzzncfzuqh+zb2Q/izYcybg3wvK1q/Dnz6V/SRsZw+brP/wpt+15gOcefQ7nnXcqewbvI52uc8rTnsy9+8Z46yc+wZIVK9E8OOvJx/HsVz2ZdNriCWueqMixZqfG/COXsGrxHC694vfsj0Ml7G0d3UOuz+ZxRx9DV28PvQv6+MRF32SiXqG70Ik7dy6b79tBMDJB0c6xc2iYxA2pmAlv/dAX+NWN1/COj32R4clx3v2St3Haeafzxlf/G097/qvYuW8HC9afxvwjjmf/+Bi7hr+u4A1PfM5LOO6ElfjZMVYuWcn5F7yNil7n2a+4kOOOW8JN926izXJZsGYN7sJllNtczjvzRC585dnsu+MuRssTzFk6j29/70ccmB4lzGY4UK8zNTmBbs+46YT6qcoxxcEn9XESVSQk9r0HxSzpn0tV36au4Aup0k7kHUYEKk2ijpj4EvnVDdWxKQKRV0+IRB2RHk5PIzZd4lSAHaqUTwE/pNsttQLlfhOnn2xJ0yNSO6eAEtVUFJcYJ/FxDI1sJoNhuQ/CERRZQQmAEmWNKwFR4hIHPpY480xDEWn9SGKmDkakUw9tLASoIVCEGCeTIRSRyzSUoEFkqMigJl1vjkFWi5TLTalPijLsK9FP+gRVXFeeHEbk9BDbNQlqIiZJn6F0zdXwU+PBOZBIsI7h2MQiskgctRYrd6+mu6RBgC5wB0F9CKcjsRT51tSEQizkV3HnSdxSyMMBbluiYreaKXMv+y0uKXE/CggkYoaEoInuQhBAIF2DCoEkxxOTCqBEzoNWn+nCc21MaU2sVyEV1i6kWZswlm41oeFW1TnT/YDEtjFcmeeY2BMnoo0v9HRxRCqHpKXAEJqvozu2otv6VQ9bSLoSm/ZDBbjwAlMJdeKq9CKJDAt1OCU2HeVGNAQfLNCPTIqVLxCFKWFkKRhHUJnGFSFY4CUiWqLjJxbZ9oKaPxF3Q2S+Y/wgUsRhAU8gcWDLUdeLp8Rnh0wivYcCl4gUxVYcpJZrKkFWIrri7pTeu3JNzqmIj2IXjahpMYZnYgggRAmlhgLTGPYUiZVTYlxq5dT5DnWLWDBNtkbo1YliR8FJotI4oW9iWA71iqeuX1OEbFdX85wX8nBG5rqOFpVnjk2co2ltBtAi1RJhHddNiPwqcglnXY1Ek/7IaaLIpO5Jl6VsPSXfOVd1n6pOXQRCY2C2OcQTUyqanTqG6rd0cnmcjETfPfJ5k5rodmZAtigxW59cXqLrIr6GSmTEEKiLz3RFcr3Spehj2YYSgj0/Va/nwDcVYTeTzVANc2h6oAjPRkannkQE1TLZTKTeNxzbf6T+fDk8Do//8TiUsNcM5WiId+L0ah0i2jVHWWU0CKENh18z0VZ+1+xYaxacRGhrjnY2tte87kY3maxDhKRmga/xuPyu0ffXWKaZYjubCCQ3NrKMCJMN2IV8L19FGGsGTshXcXo1H3dzT15j3podZY3tq3U19fHJz7INia42L9N8blqdaSKyydw0u/vU1xY3YPNozOmhugUfij4ro+GubD2exrZFJGveVjMUpTm6OxswoiFYtYpizY+pfrumeZNlGy7Axmh2Iv43N9+D61bn5cHv/3heP/0ptR55vlyDrTfnD+UkbF624cr7c9HdQw3ZHxH4mkm6DYFP4nGyXvm5EXl7tAggh8fh8Zd2vf0l1+4j0Rn3P3XgPdz9/VsKZDc9QtuS+W24/R4NAt8j2sn3uS9/jLHdWzl2/Wq2bp+gI5/hxi1bcbI2y7o7eWD/BEMTB2Yom5GO61rUo5Bcv4tegkLeYXBonKLtEmcMVgz0UK971BODdcsXcdXtd9FXmEO5fpB6LSSSHis3xUxMJibLLF/cw+Bwhc7OPLZmKffeQGcX94zuYn62n1e87QK+8vH/oLuni127hyj7IccM9KO7Dpu27mHu4gXsHxvmyIXdTEzG7JwaZfHCBYTj0xQw2VQaoStTZLxcozZRw+00mVvsoKaHTJVrBJ4IWglyX1Z0M5y8ej3Xjd3LhvZF3HDf/Ry1Zjn9Vhd3bNvM3M4OHnv8Mdy8eQu5rk7mZtu49o47yCYWtSjmHW95Jd/6ziVs2TfIW57xJD71o1+zet4RTPtlyuUqcc7n6294D//8zS9SmvYpSxS1Pct92/ewdvVC9g57jE0MsbanjwdGhih2ttGdbceyTXaNDakb5sevOJ7bN9/JsmXLmJga58DYNFWthheGKlr55qefT3BglG2VIXpXLOWujXexfEEvk5M+47Uaewb3sqRrCUZXjFPLYOXqVMsmZb9KpxnhZgvoWZfx8SnVa9U3MJej1jyT0473CX56Lx/cdCtpPeZgpcrRqxYzUfWUo+XA6DiTw2VKbsTJR6yEdpebr74LTyiWeUPFAPOp9N3JDV5MoVBQQIa+bBv9/T3cs2mbAiVcfMnPefyTTqGj0EaHlee4U47mV1f8nqXL52F5CuTJ/toEr3vW6/jZtb9g2UAvE+VhhoamsawaX/rCZbz25edzVHERkVXCrGQ5941v4Mpbf0Sp5PPaN75bXfcvf8NzWLv8KM474jFccsv32bZrL6uWLmRO9zxWrD2RG274PR1RyBABrzn1yfx632Z+ccVVnLp2LQ/cfTsDc49gqnSQFUvnc+3mQYpRheXLj6DPzbHw6JPosqb43Q0b6ejsZOuOLTzvlCfyy5t+T7a4jPvvu5HXveKVVLWQKy/fiFOAZatPwNFLDA7tV9G8q+/ZzpNWLud3d93DyqOW8853fIwP/tOrePLJx/DN397AfffsIrEicj1ZuoI8Z5x9Co875hzefskXsWwXIxFIgfThSZ9ZrCinErFVopREOBNxsukEcYKlCWxBXHkiJkSqm81M5Wf5LCGayedLTjIQFSSeiT4KzTMKMF1HZXUTiewJzTPnkni+6uzT7BRd3Fu6vK5DVcAvBFjDFUHdh9RR4ohQYg1x3Um0tZaSusKFCBGEqVCzVQ9eJL1j0gcmUVsBaaSEIgyK8VAgAtmCAn1I15pojOK0swwJ6RoYiafoBuLuE0pA6iRoQksVaSSVaK7oOtIbpyshMxbBzBenV4gtkqEcu4hxRkoY6EgGVzoONd0gqFexMw5aIrHhGeFKOg1Ne6bTEM2ZWWck8fAMQT3AEliRJe4mEQ+z2JZOveyRWKYSYAVk5EUpYqpTyo8iFQuISFfRSCFWp+Kg0+pK6JT3ZontSr+dON4EcKRLt6QIohL1FfFNOu8EhqIl6hgsJyCReG44A08ypJPPRPUeyvu09L2FUUi+q0CtVJ9xOYroY7uq70+uiUjUYLkm1FQKWXWmt02AIprEwRPx9AWQ2niVaXL5dlIjRtd9Qt/CFpclOrp0JUrnXiKiM6qbsKCHymkncBRNzyqghmNHyGUhkBkjlHPeroRjqlMKNiH7I/2BxaI4NUXpdYkrdXVt1xLpCbRwnYhaJSVnO3hhVYm8Vs5WJkjLkX9YhRScR3LKhitRYIdKpGPGNSUayjUjwpwAJxxbo+7JdSMiqqkIunItKBE1SbD1GlGaxRTnpRbgi/CuuaRyTUn0WrodbQcjlE5aU33QklarBJhkckKMDohEaK5HGMUM9VCoykKUjkiNBM3Oqj49MzWo1D0lSqsKAoGJyFxK355exK+N4GYKxLaJ4flU5TUucYA0JetGePYAfumAWHPRDJkjGy2RvLZPrDtEQaogJrYYTzHJt+l41ZnItWuZRIYIoRaGdCMaCVFi4bgGJT8g8jRsoSw7eQUIsqiSWh1c/OXDnXyHx99/tPZ6NTuhmoWZ5tEQ4ZopsLP11TUcb63dbDIa7sHWLj4ZDSdTs9DxSI1Gd1/rcTX2v7nDT46v2TXYKtzM1tEmz5PIqghSrd2DEpsV51nz3DR/ldEM3GiOPjcou63bbBafZLsPJSzN1sH3cMefE61au/QeShRrFYRbj70xmuenMRrHP1uv3aHce637/XD6+xqj4TBsPV8Pta4/N1d/7vHGNhtfW5/XeF2IiCpwEyVaX/j2vxtM4PB4dDmgDo//f8/3SY+CffpzXX1/806+a+7cRLEo8dEKZjblx7ffxODYCJk04d6duylmYaC7Q90UZwekOF1ZUSgNVzC8lMHRCXVzIR1n9VKdhW0D7J+Y4MwNR3HnzgfoyBlMV4dZv2gZWsZWESBburs0EztnMXVA48h5PdRqHlpiYlUChsMp4v0BtbjKVd++nroX85gNa3Btg452h1E/5L69g9idBfoXddNhZ5ispUzVfXqKBQZ3DtIn4IW0xrKuATGv0NXm0tZdpD/fSa7QRmWyTiJ3lEJ1lKheqFMp17hh051UN5dYUuxTtMWtW/egZR3GSyUVl5ycjNi8fQdX/u5GfnPdjVApcfSJi8lbOh/97EVsGxlmbnEBn/nJlRw3dw67JvZQn5gim8nRRYZXfOoT7Ns3Sq1eY2RsmHisqiAS+w6Mo/kBZ69bh2nnaCsU6DCzTFUmWHnEcs47+QzmOm2U4xGKc/LcvPkehsan6e3u5/Hrj+eJx53IOSedpGLE143sY7hWYd3CRZSnq+wbqnL3wR3cs2c7TsHhQDJIVzaL22VQDiJK2iRf+colhHEbE3aNg6UxTly3QkV2q1Nj7Bn8A6/950/zu3QaJ+uyaOli1q9fQ1msSobP7l3DLFm0GDvvctzC+SyaO4+XPeGpdLYVGZjXRiqGorqACQLaOnL0dHYytziHbrOLnGWRenVWD/RQriR8+F1v5OOveyVzigWOPfoIaqVJlubbcOp55UL8wH98RQEkvvPzi9mxfwfHr53H/XsmFCBBBL4bfvINOrtdtmr72ebVePWXPsH7/vOf0Grj7B3bwwfefyGvvvA5hH5Ab0/EFTtuxDcjjjpyFVt2DeHVylx59c+Y39/Dj+/ZiGNpvOTiT7D5/s0s6u5loFvIk+2Yeei3c+zbe4CnHnuiirSnwRRXb7mfT3/1o9w5IsFJk+tuup56Ieayu+7ita96PW/6539mqFzjyl9ez9JE44T1c2izLZ5x3rm4EwXOf84T0DI5zjv9WC54x/vYuusA73zDS3jL616C2d/LtXs2k+00yKws8JKnnkWb47LoqD4uu+MqXvX5D2Fq4uJJ/hjpVO8UwpiQjjmh1yq3XowhHXHCNVAOPYmghiQCXJAONU3EwEgRXGUZMXGpiK2WzkBrpdstjAgTKeoXNU9u+GOyD8Z/dRHLbFuJHyIICVnXsnQSSyPCIfINNDNDIEAOEeEEohCnKlqa6CGaCAqFLJprKgddosVoEi0VESLVZqK1pGRNERRScLJCjFDxTXHFORZkcqai7YqRUdmPRJTEwBSdRlxlIuwnEVYkzX2hKkAQ+q8I5ULizWTqSnyS3kHpLgyjmFAimXqqRDU5JnEbWlqC5wdqzmQ74ogUWEiSxAogEgdVQr8244Crlx4UEWfcUzMRXXHjpTPCnK6hx0IJjsmmgaJS2xkbW9yPIiRFqQIBSRRV00Xgk5juDHTEjzRJFKOLU010yLimvhcXliX9dwIOkktB4BCunPgcUSKdgtKxZ6BlXOVgDOo+riPCa4xhiAMtwrEMtQ/i6ExFTJLka5Sgy3l3tBlx1JXexYC6L52MIYlfRYtrqk9U5kIzskTemNKLSTLY4mCLE2EUU48TRVqW2sbAC3H1kMiWKK2IiQKLkasknAFTpCFuWEG3swreYglYRM8QiqAp17epUY8cQnFiRmXCWNYrUWu5YnQxx6HbJpNBSmIU0DLSRSjHGihhK6y52I5BpIvQladat7EyM92MGlmi0KVWCYmTkMivK6qwnpQwsuJQk45CD8sSGEqC72VIkzpp6lOT81rxlENSyNbiN3WETC1Co5ZBy5jK6SfddRYSoa+pKLMTeaRZFz8WCIuHm9GJHRHuUETmSlWuUQ3d1rCz9gxUSo8I3ay6XlOBSCV51btpJDrTVYNczlExfLfNJdBzBLVJ1TmbcwTCYePX6jiuTWJ0KMHedEKcQpt6I5E5rtWlC1PeT+SlJOKiTSGZxJMP0iKdMHGohDaO7apoe5vj401NkpVIeJLDqwSP1J8vh8fh8T8aIhg0C3yNjjwZzV15zV8bAllD4JPR+F2jD06EvoaTrbmbrVkQka6/xnobrrRmp9z/dDRovQ1hr0HhPRRUpFWMbAWGyGjQd2cTdxq9gSLwiQOw+RgaDq/mOWulvzaLR81CVsMV2fh9Yx+an6cEwEMIR43ut1ZnYes+zOaw++Nyh1h36340H0/rHM92DTSWbZ2H2Wi7zeei8fVQrsVDuQ8f7nXVcO00yMqt+9NwPc4m8jbPVeuctlJ0G6P5+4ZrqfVmuHEsDQK1zKUIfLIvhwW+v3+/2d9bXDk8/rbj0Xi+b5pln/7SXsD/qWvykXovesREvrX9BbxoinJpmrv27qZgSFE/jHolamnESG2K4VJJ3QwJcbaaxCR1jc7uHHGPGH1SrKJQJQ2srMGu3bup+RF3H9jHmr752HqejJ5l5+Awvdle3I52+jqKnLR+Dd1t3QR2lf0TJV5w3suo2WWmnAjL03nC6at4+bnP47Yt93Pi0Wv5z8t+p+JxxZ4exuoVTEunGtXZsXW3ohGOTU5S0C1F0lyyeA7bJ+p0ZNpZccRK8nqOjmIbhQ6HeuRxoDrG+vUncMz8Rczr6mBesYf1ixaT68tSXNbLwMlL2Tk5Rn9nD36UUJ6eIJs12DMyQZqETAcSDy4y7U1TsPv49fUbKekwVquwotBDzrTIWnDH3mGW9ywh21kgtXXMbA7HdehqayfwAzUPc1YuwtQM1i/uxfcrPP0xZzI4MU4oBfVmwtw589i/e4jr77iV/WmJOMzjTZsYGZtpr8KeAzu5dsud3HzXA5BJefFzjsOnTCZK+NC/f4UjV61Q8cvFbfM4eulS5hR7SAKbSS9SYtk5Tz+Xsx5zJt/4xkd5yesugEoeqjr7hqbw9YgjVqznBS96Kx/96Ie59pbtKoI46ZWYv7CfeYvnMjXk87hjVnP1tbcQpiH7p+ts3jnEJ797GUcs6uPbX/kFS7p7iTWDga757B+c4GXPegmnbFhD/1FLaM8UsfJ53vXJi8nZUCqPcNn116IlPj2Lu3nJM17FF771M9avms8JJ53G777+SX74nz/gRRe8gmVzBrjsmvs5c81yjl41j5e983yu37yN6VLEdNlg5/B+Hrj9clYvWIu+Yg1zOxextG8+c/NtFPNZHrh/hMguc9Ly41jSuZKnPOEMCm0dDLQtEBWDRNOY09HPMUtX057JUktCDoyNKldkNrXYOLqDNqeDrvltWB0dXD24nYu/8n0Gejp4/nnP4oa7b2bl/FUcY81D86bZtPk+3vmeV3D+U57IkWeu5+q7d6l+s76eIp/8zL/yi1t/zof++QuceMxyPv3V7/Hic87mrCcu5ztfu5R2t43rfnElr3nBP7Fi+VEw5tG7cD52rsAS6whgLsVCXuC5M7FkwyGJJcIpTACJ2Uk/m4EhkAtNnHOm6pqT2KqUnJkSvUxElEqU+0/TxZ4lLZupioRqoQ51EYUyirArLixDStOEHiGx2lBYA5pyk5lRqEQ9Ww8IBUphSPIwIqxJlFRcf5pyMZlGQloT51RCoOlosYANJG4pIItUgT4SiVsmGlZQU3FSUxfIgkRqRRwTcUYa1xJMTyoDdEWglTmQ3jFDhEm/rnr0hIwtgq0CXMQiYM58qOCLoOnP0LUFPiEdgG6niycGNPldKu6yFMPNkhqOcleJyGaaQrSNSSwXRxe/n01qBsrtJ7qnnkoPoaGEUxFLNTFe2wXlzJNoruyrYQklVeLPGo6pkfqhiuUn4gpLhKyaUpN90GzEuK1ndOXS9IV+LEAJOc+R6Kwxuuti52zCEMJEAB0Grp3g1QISzVAwCtH8Uk1osalyPwokQU/FbScCL6pfTs53YuUxYh07o8/EaKWiMZdT8V7NkWPTZiLYIpRF0vWn41d0okQjI/CRWK4pR9FhBRwix+oWbayOPqJA4qyRciAKDCajx4qyLc7IoB6qCDD5djVfZiLABktSspiGdNbFmI4xQ5lNqlCZJvFktmqKgBtFIQUhwsoO6wFxZGEX20gTud478NCJpZ4hFfh0rAi1tu4Qi2AYOAR1T8FJRNjM2+JOC9CU6zNRrjfdDlR01i0U1AcxVqY44xp122bOv7gUDYlDV0gzAW67CKE2tSSLIccpDlvV9RfgVcXNmKpzJR2NjsypV1IAmbpmq20ahTxRsV0Jqlndx81Kx16oegGdtjyJ7uIk0v1XVrRoPQxITQdL+jeFMJxxqU1Mq45E6dNLkipuPlbRZMcsUC35xJ5GsWiSd8RDmpIEVdra51GeqqHXp5SwG9YTgmqJfFsezY7JUCGXD5RLVq7v0PNIzQJdfUWCwEGjRFSvUC3FZIwalWkdN5shSergpGQKj1il8OFxePyPxh8L/JvEDwUpePC/xmhANhoC2WziX2P8CbG0STBsrLsh+omA0hCxmqOvImKIGPdIjGbQRcMB1RBqGpCHZkGqVZia7XeNKG/jeJqPq7G8RJJnE55anXqN0RCrmsW45jlrPheN/WmIjc3ut4ao1Pw7ifY2wCGtDsaHgok8nNE4nkbsuFkgaxYnG3M225wcSlycDWDRAHu0im6ziWmtx9f4+VCCYGN78rVV3GsdjRh6YzREv9Z4deuc/okLsNkV2iT8CVVarlWJ6MqQ72VOG/vdeg5faLW2Qh4e/5sggr9W3PlHhWX8raOyf8/xj3qOHmr8pZH+v0ak+9+4Rh4xkW8Sg2kFnghpz7fjpRGG0Bt1ne7OIn6iMaerQHdHkQGrY6YPKk2YHK3T68zBabdYNrAKR2iYUUz33F6ece4T0apl7to/xt59B5iQYnDXYf/EAYb2jrB1fJgrbryJsalx1q9YBonNnVfeQCF1SMspu/cPs3HbIFfd8Ht86jywZTcnz1tAWPOpHayoCJMIF9LRNjw5xVQwjVW0+cRH3k1PPk9XWzfnnHE6//7pL/L0Z1/AC1/xdM449UzlMmprz1KfqLJl2z10LmhneGyKUlfAWKenYnCaKTc0dU5cuIzB4SHVFbZnZJTeQhvLls9l49a7iLyE5Ys7yRZsOlf00Kf1qKiiuCMm4hK7J/dgpm1M+zV2jmxh8/bdzGu3WdzZh++n+L6PJ11Khsn24d3Mn9vJwYkApz3D3qDOcH0SLTU45eiVtOeySggQV8mi9gXUtTqL57TTkctiF8UNE5EJHXytirE/4i0f+zJnn3wSRleOjp4s2zbvY9myJYxHY4pGvKs0wny3nerwFJMjJX7yw59x2RVXMjZY5qtf+xrLB3o5ZvVqRoISnl9m7sqlfPtTn+R177iQaWOE973pQjbMW87E7gMUY5eVK5Zy9+7dPOnxx/Oq5z2NnkKerDhm9o2wb/sEb/3nN/D4c8/kjc94OuPlYfr6C/zu6l/x2xuu4Z4bbyPblWf7xIS6FsedmGyul4FCDyNGxA8v/T29K5bx1tdcwE+vuobhwd0sWHU6b73wdejBMOWwxtTBYc48+RiqvourtfP41as4e81RFNotiprJZy/5Nus2rCO6Yx/Z3k4lpD6w8wBtZNm58yDje332jwxxw/YruWrjTXR0dLNp1362Dh7kqWeeiFPUmJiosHjOYlwrpcPOcvozH8vQ5BTrj1xOvKKf4U07WWg5dOFw95U/QStbfPVL7+MlZzyL5zzrHOyeHvrmzmX7rv187N8u5oJXvpav/+Db/GDjb3nc819PVTd5+XNeyqQ3wurjVrB5ZCcf+LdXcuzj1nDNbzbxmz/czG2b7uHXV/2Km/bewJyuAS6+6NMMj4xSiUr8ePMdKsY50LdAwSISIaXKLbgur2URchLlVpIhbi1xqElflmT9pL9OXkvSv0UaYGqib2ok0tUm0XoxgyUaYewriq5uyutfKuFSbE1EBYkVSnzUmIk8agGR6ZLUZwAfpnRd1gJsiSVKjx7WTAeZqgnUMfPi+LGUKynRxeEUzTjO6j6hdO3p4gwzSeS5Uk+XiNMtUiKiLCgOu8TtVFAMQg8v1vHE1GdqeNLXlgiowSKphgQ4uBkT3ZSetJzgOzBN6R8zVWyX7AxZNCrXJdWLIS41W1NiELUKloIouNJQiBZnVZehAEykzDKNNeV2FmNhqmAnBrEeYLnOjMszrqNrkRIOdVNEPhM/DFUPombViKRgT0EvdKQETpcYMpHgOtAQN5hEqWV7CXYmRyrxZUfgHxF21lRipnSUOjlDORmlS1H6/lzXJtalf06jLsJlGqn3Kd2VzkFx9VmqGzBr6+h5W51X6V9T81eqK7HNMBPKk5PKhWjGJkYUYuaEOiy9iRIp9dEzBpYWkdg5Ur1B2rUVNEVcjFYiNN06pptVABY5uhADy0mphjNCsiPdiY6FLZ/amAaBkUUT8mzOIRTHpSiBuqmcorVAmxERZdsSYzZDXFtIxYnqJxQXo8SzBQCiCzwljMgkMxRlC3smjh6ESmCV5j95vhe1qe4+TatT9UVUFGqtpmjPgdCYfV052IJyDT2u45WncSwTv57gBSFxbCraclQLqYyJYKbj6+Is1QgE5JIxqfsBhp9gFxzCeh3HjMiJAKY5WAVxLcZYel056iSSLb2IYplLc92IlzJ28upxySOncUBg5DHaCkTklEvXqtcxpWMx8Wa68/IG2UyKHdXx6uLadHFFvDQDNIGxOFCe9KhqFql0+SUBUe2Aii5HWQcjVyCNJaJrUZ5WNkiCyCDwTFz5HEAI1aaOJ69XX8fV6mhZ+bAhglAI5FlCiUoHHqWwqFyyEgM/PA6Pv/f414/d9MfvHyq+KMJFM2hhNiJuQ3hoCHYNV1xzb1uz+6oRP23efmP52SLCf+0QgaQ19tvozmu491rdXc3i0p+In02iTGvE+E+e3yTOPVRsteF2bF6fjFYxrLlnrnX7DdFVRKaGi7J1fc1CZKtodShn22yi76GosQ2htLFtcY60uhQb4mVjNM+LPK/1sQYNt3XZ1lj5Q43ZxMNmMfW/HXMTFOPPxZpbHxcITYOcK6MR724d8ju56T7UddFKz5VlG2Jf4/mNbYvwfriT79Hhwno44tCj0fn1cMb/Ty7Rf9Rz9Ggi+T5S+/KIdfI9+xnPpLjIJEsbR3T2cM/QXnYNjZDrdEjtlKia0tfWzdD4GEuWLWLLPdtoyzkcuXgBtXpMbESYkc6WkUH+/V2fZPHq1Xzn0u/zjUsuJt+WoydXZNn8edx69zbMbEJpOsDMJCzvmsOe/WOM+2U6iznqhkZY9TBC6O0rsCA3h11TI7i5DGuWHcGVN9/EUWtWsWP3Tvp7epiaHifnFth54KCkBXniKUdz99adHLF4AUFgQL0OVoZ//dcP8+Z/eikjI+JMC5UzpdctqJv3UzecyG+33qLcIv6BErWKR7Y3Tzzs8ZQzTuAHv7lGRRGLVo60kLJoTh+j+0o87zmP584bdvGEM47lqz+9lGIaMn/dAq69ZQtulDJ/6TK80RIjmoGZjuGSoc3KEGshB6emWHvkUfhjFW7YchvHrF2Po8UcHJpi7upennHsCVz4+a+yuqubA9MTLF+8mPVHHsXoWJltgzswaj6VcordllU3f9Xpg0xVaxw9fwW7pg4y5k3z8XdcyJ033sw232fXlq0UnHZOXb+Oe7fcR6Gnm9if5Oa7t5MzTd75vPNZfuKxvO4j78MIIlYuWUCxPU+4J+YAYxj1mCBO6VzeibenyqrVy3nui2b+8T7vlU9Br0A2347lBupG/MXnPou9uyfYuOkupsfKzJ9T5OSV6/nypZdS7M6SL7hU9sUYhZi+3j7iyWkOGiFONkNHPWRfZhJjPE/NLyvAhWhPi+bOZ/DAIPnOTvaUD3BUxxLqls+2wUEs0yU06riaRVX3eOyS49BcWLpyCb/56ZWcuGE9p592Gp/42Bfp7rVZNH8ZiRmyd2iIWhLTo2VUf+D40DilygQf//SFvPWfPkN/+wBLu2Ou2DrBQM5hYMFi7tp+D8v7+1k2dylpPeSlb3kP1117DaNb72PP6F6kTetVjz2be8pDFKrw46tuo9Cm8d4PXsRb3/kakrGIxz/2MRjjO7lly05yKxbyT2/+EHdeeilHn/t40PJqXndt+jnjox5dbXne+6mvcdJRazjthKN427sv4uiFA2zaOcQHP/wGrrppEzfftxE930eUaopGKzfhIghJJFBIrOLF05hxTYn4ouKiVek5E7hEotx8Qt4VwqsuPVwS4RTHVywOspm+L1/WoWkz1FshaFgpjj7jxpPspkQZhTQrVN5ExCrVtCcx05ggnAFQCPVW+r50cdrZFmasq/ivdADqAugIJeYqPW4RsQgrEpuNDTRjJv4rwoBJqhyH1ZrCOCjQhJCHMyqWOhOVdbSU0M2jyfYk5mmaRHpC7Meqpy+NDHRxCUoEN9YUoCOxbGK/gp4I8MMkEVBF6CtXoohtQuYNKhKztJVoFJYkIqyjWRZG4M3AIqIY28xiWhqxX0YwD5rMreuqvr4kETItCG/CJMAPHXRHhBATy6wSMtPXl82Ks1CENok0i/MunHG9KUegix6HysUYh9LrJ1FoEYYkdh0Th9KrJ7nZSIl08qGFfCBjSjQ2keeZmHFEKKKvAnPMuP0qnoi5KYmUIYpwm4hRUJAfsn45hhxhpao+lHDMRMX4pdpBejalg08682aurRgtlQ43XxGOCSoyecrtlnNTKmWPrHT1uRJ5jTFTAYGYxJaBGEpDiXEWC2hBBdO1CSMTV/fxY1NRf0XXlWvCiCLKwsxNpBcvpl4TzouUMRpobTmhZ6jPosIwUET1QLfImhqBuCLNdrV+z/fJ2CIcp0SaixX5ClqSzRmKMq3rIjfXSCXSqzrsYnLdWaJSlUTivIGLHUwSGS51qU2UCrsU3GKOsFZFSywKhZSpciq7pTryDHH7RVWsgkmtJtePj5M6KiotbrzEl/Nn4Ro61dhVUWQ5127OxgsTrDhRdGiByIiDNQzlmpSXrETmxXEXYbUVseyQyYmZ+RK1To4pjjSqo+M4nRkV3zZdl/K09OyJw9Qkmi7jFF1Mw6RaTim4KYljKmEza3iU5RwEsXo9yDWZpgWstKyEexHHwxoYGYugFpCRiLBAZvQcaRpi6DN9nbYz4/St1Qy+/V+ffyT+fDk8Do+/ekin12yOMomaNsi5Mlr792YTilrX0SyCNX5uCFKN37WKVY2fG1HVR8rNN9tokHtbR0N8bBZhFAH4O8ZDOt1EZBN3V3OPX6vg19yr1ypyNsahut8ONZqXa/QBNgths4mQjWNrLPtQRNpDjcYxNItzrddA8361nudWB14j4t0cZ24s19zt2Aw5kdF6XR1qX//csbXOXevz/pIevz83WtfV3NHXEAabu/e+e/HnlNDS6OkT10wDsCKdfIfHo7vb7NHQk/Zo3Jf/l4/jz/XSPVrJwH+L8XA7+R4xke8Fb3k27dhkXZeqn7Bl7wGeeMZZ3L7xRow2nVy2yAkLl/CDq24gCSIyto1jWJTxVDH+qmIvZSPm4osu4RkvPpf5mTy7y0JHtHFyEfO7ehieLpE1suT6Orl/21a6uvPsH5xUBfci4uTltrdgENVDqftTNxs9Pb10ZS22bj9Ae7YdXeJ2GVjUv5KoPqZEkvZCjgU97ZhFF3+izv7pEq7jKEeSRIs7Ch0cDCu0ORH1g3W6F8+h4GbZtXuYSuzhOi4vfuzL+eJvLyKupkz702Q6szzrqKOxOtr59i9+R6HYRlSrsrh3IUP1ccyqwZojFjM4MkZZKzOgZ+RWkAdGBulyi1R9j7AcctZjHsf2LduYs3iA0tgobZbN/QcOkPg6cxd3093WwcZNd+KYGcrirAjFeROzsKOD//jSD7jgVU+n223D1zyWLVxD4JZ54LadeNWARfO62LxljIH5RaqVKpWgzuvOPYWr7hpSjqQPvfc1fOGLX2fzgSG2HTjIEd39tGcLtPfm2LtznNHKKOuWLsG34EPvnflH8ppffJ1f3ngDpx2/ip9dfj1zcnmmNZ0+y2TveIkzj1nNkevX8P3L/0BtzMdul77AGu3SN6UnwiWgmBiU5Tl9Re7bvIOTjzqWM08+mnkLF5BUxnndu/+dFUfO484Duzh1znr2TAyhTUY4cwosnruEx51wJBd/43uUooRqvcq69RsY3z9IOawgNrHOgUWMjOxX0BW/Nk1BuhWnPIbLIzzz+LO4csuNLO7s59Of/RqvefHzMIsWo1OTPO2Up5E4EV1hN+PBCDUOcOftW1m75jjaex3aHYsHdmzjle/6LJ9496uw4wzX3LuVJx87QN/aDXR6MDI5yVRYY1n/QmpTdepRjY2bN9FdaMe2DILKBLGVZ7w6Rq1cI9OeozpeY8Kf4Iyj1zNViRidmCLXnsH2NXJtXaRepArqjzlrNWef8nIueN7T+dfXPYtdY2Occ95b1Hn5whfexv7BkOuuvpl3vfmd/OrmK3n6yx7LlT/9Dd1eHzvH7mfC7CORWKwCR+jK3WmaArWQFjq50xdnlXjnpDctViKgiH+GLrCCBEN68yKJmkocVSKHKX6QKpFOYAMijJtmpJ4rok0kQA/lkAuUe8h1xKGUqO62UKKw4nGztBmQRiTesxjhqcbiohJnnCfmXaGV6iS+h5VxldMwiEXMiokECCF9eUlMakRqvyS+m0iU2BFatkQFQ9UTKHFeIZXKfpup9PeF2GI5NEEYL14UYjs6icyJ9BAoCdIkrPq4eXHbCUHCUo9nnFS5AE3LVh1xsXx6oKLO2gyQRBxxRqxEtTgyFEhE4sNBKL5J+aW8eZnokbjAJPOcgKuh1cUNKD1rEhvWVK+ZJfFIgYyIITG1sKRHTYkolhIFbYnq4mJJn1wkHXG6EvgUaEM1BZqK6i36TqTEtgBNegMTU3XOCeBE9kHEXT0Vn2YOmyr1SHoSfeWeVOsR8MiDjrt6LcaS68Fy8KoJTiZREAgRdiQGLbAMPa2r+KhkkrVMhsTOYwfTeKFBJitzIOFfQ5r2MDWHuvjqQnCckKjqqT45JyyTuJYy9ImwaOplNN0BOyUQ6IfEewXyYGSUyChXUBgKzTWciTHHPoGcyzTG8wReIn2OjnJmxrF0FebVayGJJX4r4m9A6Me4eRtTl045F1368CTuLe5KoTVbCanAVSQebvmkoUGsOaR6goOnXG9CYM0aAAEAAElEQVSppxNqAqvQ1Acaceoq+IQi9IqDVkS3NMGzCmhWBscsE5a1GQBGUCOIbZxMTCzwl5pBps1kulxDE/Gzu6jERb9WJpfvJgwlb26iWRpJLaBQcCmVJHAcKrCJWXBUtNcU0bRWw5b5TA3qdjtZf5yMJT25BhnpNSxksbWI6dDFCSfJZHOEQYXUsPCrqXJ85toNcvKhUW4upneAIBBHbEzeDUk9l8SwVDdfrS7HKnF9B8uqk+i2qgXQRMlXHxBE1OM8ZiZD1vAJpIevUsJ0ChjiEtSkDiTP177w8Ufiz5fD4/D4q4fEYmcTZlq75BpiQiPCKKMhqjSiuc3AisbjzeuQIcuIWNYq5DT3/DULas1C0V8j+j1U7LcBHJGes8a2RdxsOBabhcnZgBetAlBjHEq8a15nM1Bjtue1zn/z82WZZhiEjNm2dyghcTbxsBUEIYJls3NztmVatzXbfjY72RoiVWPd8hzpZJzN8fFQAmdDCGy+ZmY7P39uPQ81DvW8h0PMbb5uGvv254Yc04ffeZIS82Zbv4h9sz12WOT7/0Mw+p+O/9eP7+81/lHm9RVNguOjQXz8m4t8z3v1s1jQ20+nbbF5eIg9ByeUY0c5PaSwX76Kq8ORIvOUgnQt9QklE548f4Dv3bwVPdRY0tfJCccfx6ZNO9m4dRNf+/D7+dC/X0Qtk9CX6+Lg0DDTckOU0VngFtk8NKL6/PqdPCNGXUXjompCTyFHtpihNBrgpT7L+xewt3KQdnEZxBbHn3wSt157C6kXMBrVOPtxp/K7G66laLcpYShjZTCFSmilTI/X1Q3vooF+Vq5Zzb1330e5VmdOm6tIlf35Hu7cvZnpapWenj4G9w7S3uYQmLCkq5dJof622dTDHJXaCCefeConzB/gI5d8n/auPKvmLGPnvj0M1sZVPEliY09Yfzybd+xQtNuDlUm0usGqBYu5f2iXgm3ksq4CDtjS+SRigHRzOTPAgp98/ZfqnLz19a/m3uHt9BQ6ybS7nLl+PTdtvpvSSI3xqEJ3WmBgYQe7Dw6xcunR1NJJdu3azcq58xVl8dTlK9l5cILT1i/nW1dej+6aRNU6xVDjec97Djv8cRYnOjuGpvnmtb/koje8lS//7DJGxwZ55hlncvMtm6lFdSU67hodpqOtjXe86FzWbzidj33xy0xMTLK8p5c9IyMEfp0gDXnv29/G2z7wadX9VDBNRRCVLsaPvPtl/Pb6e5nb283nvvkjputTqgj/bc+4gJu2biFjTrH7oEY247GkbQAzyjEyMcpQXFbOpq986RJe8ornUPcEYyE9aRFeCl4as6Svi817Bsn355WUFSQx5284ha7cAD+86tcMDAzglBLe+4UvEu/bxtd++GMyRYuf/O63HLV+KZmcQ5fWzUqnC6/XZWT/QfaPD/P4E44h1hJcy2FkskRHW47BPfsQasOvb72J5zzlHH573S2MTAR87T8/yZc/9wnGR0aVs2nlOceQ7pvDcy84j9e/5vlMMMrRfat5oLqHfz7/pWTcHFffezcved7b+Nhn34sZ1qmPhSxePodJM2Z6cIQTj1nNjvuHyPRkOfmYY9i+dwc//d2NPPnYtWzcuQsr1eh12xT45Op7bqStewWJiDUS6xP7nTjhVB+ckGjFdRQpN00ai7QndWUhscQeMzZJpT4D5IhEU0iUi0v0KnE2JZkMsR+prjgz4yj6riFWNKHcyrtPHJBKXNTSCdIZb51AM8RlJCKdbjsqah6HIigmyuqUmnKta8r9ZMr3ppjHZgiliahBhhBiJWIsnWkzjjPZJYlJCkHVtjR8iTy6LmYg9ApDufnEeZi1Howii9OtmpDE4hB1Z+K/foIlHXOxjmkJFENXnW3EdZxMhsivqvirwBzAVcAEEW2kt1IckrXAxHGqYOVBRA2Za3G5CWk4SvDEYSVOxChC8rK+J641U8WZlWAo85MGChQiyWlZVmTXNPKVYCcuOwEBiYAiYo0IjmGkYQjEIhZnlIVuRGjizjQz8kREc7Vlnbr0GM6Qi9MgxLBM5c4UynkxYxKK+GhJ/jeciVYLfUR154k1Tlcdi07eJJTH5DpS3WxCFc6IB1TZ1IxQBBqDMIhmYrFxiiGip+oDlHMvbrEEQ7OUECrXhenoKhKbaHkcKvgi7jriHpRrNKU2JfOroQmRVlyV+HhGRgnBuifdiwKPEcE2wvdE1PKwCxZZQ6dWrRCJiywWx1pGAVvUOc8Yap/cjKMgIPI+m0QRQRyp7sTUSvGCFEfEJ3EmahnqAtCQfkO7Tpq4SmhG5lirSepVxbNT3VQdiLZp4BISieNTzxBbQrRNiOs+uukQoKllhFos0xwLoEZEccnFJiKqRrhyrvWQeqQrp6HmJ5gFG09oLOK8dLKq39C1Yxw/wSOmquUxK9K955Hk24nqNfL5nHIpqimywY4jKvWUNAzIZXUqIiIbMbYcUbaTXDCJJ3q/L/CaBN+IsbJ5/FJZxat9L1bn1sykxLGjoCJeBHYggBGXTKelxFIRR4NqWcFw5Jo1M0X175jl+1TlfUPiyOLOTXUlLCdGXjlMpZvRq4nRdIpvfO2/Hok/Xw6Pw+MREfkORdKdTYST0SzoNQsZrcJcs5NP4oUi8LRGFVspu63ijYh+EgGWdT1SxN0GjENGs/DYcOI1j1YHWStdtbHPrb+fzRXYfLyN72XMJpI1BFT52oCAtDrLGo8dijjbPHcNkarxtUH8bXw/m0j2cKi9zfMwm0Ot8bVxHTS22Xhe47o41Jgt2tqYw4br9M+to3Vum8dsTro/ObamY2gerfTb//a8Q5CAm8dsgmrrONR2Dot8h8fhcXj8ozn6/uYi33kvfZoiSp62YS3TwzVu3LxJiW+6O9N5JZqB3NFnVCdRMPOpfV7nxWc/lUt+9gt1477siIV86RMX84Y3v5htQwdo78tRkhvw6YQjly/mTU97CrvK4rwoUR/cztLVa/nVtddz+6bdyt1kFC1+9Y1f8eY3vpQJUkrDB9WN+sLuPnrbOtk+tJczNqxl++AU5doYc/sW09PRydyMxfb6BIOlEfbcu5fujm6CMKAt30Zg+5RGy6wc6Ob2HYPEGVjWM0C5Eqqb89HSBP3zHAYPlMkVsgw4fezauY9zTzqN20fuwEsSynWPibE6tpbS2SM9eP3olVF6B1ay9+B2sgNz2HrvfWTyWc7oyPHrsTE6rCyVB50XqzuP4P7hzZxz+qn85JorOXL+EnYOjyi3itzIDh2cIGO7zOnuZSgeJq7HvPXFb+I/v/mfDHtTrJs/n8UL5/Ob6zZy1knHsXP/Xgp2hu3Dk7zsqU/i51f/lq5CL2FQpX3ePIZ2jnKwtJ+Ma7F03mLu2b2JipfQls3gWkXyuEzrEzCm85THn8Tg+DCTk4MUenrYvmeQkaFJHr9mpSr7rzku5clx9u45wMp1a+htyzM2UqFNWsI0n7Ati3hnJr2yEncGR3eTt4o4FZdCTqdSDyge0U5bxeK+oZ3snRhDMxx62lzVo+aVfNYtX8PBgyVsN+TYhSt51iufx5e/9DkmjYSb77if4xcu56Mf/TJve8sredKZJ+DX62w7sJfqpE/v3Lls2bmfdYvm8rONV2NrJnMLOseuOpX91RJzCkUymTYmpksUiwlbNw9RzNpU6zHXbbmNrGlx3ilnMGmLsHaQpz3/eWQWZvj5h7/HeFLHdQpkOzTmdczHS2voGY3aaI2RwUGe+YqnsWbxObzhn1/AkcuXcfN9d7K6OId5S+cxVjV48+vexatfeq6Kp65fvpLVK5ay/eA4999/F3vLw8zNDRD6CVWtyjFLj6Rdgxt33ceR85fTPtDBi15yPr/89dWc88SXcu3vv8M73vsZbrn1dr7zX//Ovbu3s6gjxy+uvY33vPr5XPStHxIVF8yITiLkpeLb0xSpNU10NEcEs5nXeipxW1GGSBQlVuUIpb8sFdFCITqUeC+teAK/UKKEuLYMA12673I5tKiuXGyR9G05Gcw0wU8dTDNQTl8RqyQuSUYisx6OI+FUg6Quj8l1bylCdyRiYyKR4lDV0AnkxEoNYmumZ05+li5BgXJIhFFowY4y/s58ACFuuUgEE1dXXYCCvtD0PKYtgo6Blnpouq0cf3E1Il9UbXYkSUDszRyTZsmxSx+cjinRTakKk164JMD3QgW+SAwbLZIoq4abNQgFICLxTHELkuIIRVXeXHSP1EuxsiLWCYU0JpSYrdBX5c1MhCEFuZCo5Yz4o0nnXxQSegnZrIhyIkAm+BI7lgixuOUMS/XriUgSB1I2KGARXXZTzYkWJMpNJd2CcRrMCJCGiyVY4ThQIkws51aWESFMmBhCiTVMMnpNiTjyfi/Xj511lOBj5zuJJWor9FrXolyZiQZnIo+SXiBniWiZI4lKUpJIKhZrEbJE3MpY6DUh1qLEv7DmYbmGEqaruoBRdAUzErCEzJ+KikvUW3r5DDkOTVFkQ+mok+N0NGLpU1SRXkc58SYnK7hFncDXcAScoomDL8HVZe4C1QOXhCmRRLNTMN0ILbXwEId3SEdOYFMCZalgZNoVcVgIwfL+a2Uj4kDiwYGCfViZDF5NOgrlQxzpctQVNEMirogIS6g6H6W/UrnuxOlpSJRXqgenSGILvZCBpIxuuFQCC9MrY7rtRKmPocUYUUya6aAyVaajKC9Ll3qpjOFIJ6VFLL2D6kM2HaNWJym0qZ5BiUMHVlYde1aoRYGPLxTnag27o42cFVMTwq78m5gVt62v4CoyKYHdiRmWlBAn3ZdyuVhxiSQw1PuInB2/5lFoy+DJB32hpVyymTgkzmeJS1U1H3JpWTmB7Mb40sfoeziZGcHQzsakFU9FsWtyXYrcaCZojsPFFx2OWR0ej6647kP1xzWPZuGqWdBrFeoabq5mcaRZYGqOWTbEu9Z9mi0y+UgIfc0in6yzIaQ0C2OHEuKaHYkN8VKGiE2NYxKX2rfOHvwT117DodgsqDY7J2cTElujqiLqHdl9i3IgzibKHcop2HiuOE9aBaO/xPU325hNxGrEShtOydbOwYda78NxGzZvu/kY/9x4KPfjXzKaBdhWUfhQ83ao+G/z963H2RzPbV6/CK9CcT4c1z08Do/D4x9pPFyR7xEDb3z05c8lDSJGx6exdCmi19DkTr8aq3icGDlET6xJZ9GDDhQqCd+69Oc47S5pxqCtLcsLX3W+cldp4rKY9MmlLsceu5RP/dt/cNPt9/Hlb3yVq2+4lpvu3cW+3WNs2rOP5QvmkFf9XBpPfeGTORBMqlDZihXzePz6o5icnqC/rYPjVx3B/ukaSxbPo2LAfbu2sXdoNzfuuJerbrqdg5snKKU+e8aHGfNK7BkbJYuUtgtN02Dt8kUcs3I9pekpOjtNjlk5h7mFHg7sqBF5sLTQQ1CrSwEZd0w+wMSUx4KuAZ66YjkbjljKQLad8ckSnQtcstkObr33NuKqz/133EnRdQm9gNd8/FuYiYZpFQm1mKlSnYPeGG12lmtv3ISecdm2+yD5JGa0NMVkqYJrWCzv6mDBQIaglqIXTTbfdiffveRn9BSLDA7XuOLW+1i7cInqKrOzBSpVnec/+fFcfsU1LCz2cf/gTrYHJfrmdbOntAvHzPKRt7+FA0PDrOifx7FHrqAtZ9MvEenaPl771GfiuyW+9IufEdVT7PYu5Uw5vncuxb4MU3GZ/eOTbN+0jXIMy+cOMLhrL2uWDOA6GptHd6lY9NRwmZ3bd9KfTzGK87GTHurjAcNeiVJHwEQmorqrxA177md/dYolc+cxt7OoXEKqQytn0r+4j4GFRepTVTYObeHTn/k8N9+/i+md03TaBfxywItf/GyqtQo/u/xGvnH577n+/q3cvGsH+/cOs3frVrqLBZZ2z+PotWvpn7eO0bFh1q5exPB4RDEr7raI/r4+5q1uY9KqceKydRSLBTxSrr//XrKRwVGLj+CD//QBlrlrmb+qh57udi58zttZN285N1x5HRuvv5Xf/epa/nDjLbzv9Z/gyh9dzec//V6OWbyC0457IvOtXro7B3j+i1+nBL67N13DUeuP5fTT1rHiiONYuv50Qj1lzdLVnLT8aFavXMeG4xdzoDzFpbdczTdvvJq2Qp7Lb9/IzdfcxW9+/Ht624qqv23jDbfz3GM38J63v4z7DuzCG53g/Cc8n3MvOJe6YfLcs9eTSp+eklp1McKprjVFhZXXrohzUrWnxL0UXZxkEqeV6GiSqpt0iZEKYVdu/mMRlAyBGwhjR1xWhhIAxEYZe1U0TTrtTJxsFlM69RIRKapKQJQniZtMYoaGQCosoVkrIzCaKWKjqeKXElcUcQhxsdozXX/YmlqXKHZCs1VgBnEFSuRUvHW2OBFl3xLM2MdPI2xXOvQ05UC0MyZBGFGeqCjHsbjTAj9UXWiW4xImQmkViqyhOgFFxLDFSSuym3T6OTnVK5h1E2IhhZumEgXFUaj6BS0Rp+QdM8HOZVSHnaZZBFUfS4Ak4jw0deJKdeZ4U3HNxRi+0IxR0AgjMVQfXhp5kmpVMdQkzWLb1kxfnBbixRpuxsIQd52pY0n4VURBL1KuTBFfLRG1NFPwEYpUbJjiBs5gSh+fXVBk6jD0lONRoCp61kbLWtQFdGIKxKKOkdTUdWGKWCWuSyNSfW8iCidxdSbWnQj9VcTYGTJx6hawTfGHigvSI9JsjExW9T9q6tqR6PeM81vBSKIAu1gk1G35J0O5NcPAU9sVmIo4u4RWLmCONNc2E2/2A7BzuELTtU3q1YjA0DFVV2OkPmiy8zaVqpwjHSwBxoTKOebJJW7MwCpkf0R4zeYTqjWZuwAzSbFyLlM1f8b5JtdFrY5mePg12a4IgyaxuLLtgnLweUGV2NKxQgFhWHhVoZpoaHK+5LXkzhCEhVkhXY/SRxjLOc+KoJrBsSXy7eEFFn4lxhU4iSk9hT5hkKIHOkG2kzj2yLcJUCQl8CXHrJOXPLMeoGXy+GJ9dbIY2QxetUQqlGlsrKCKkwgwJyEMNHK2Rr63k7Q8zXQ5JC9EXd1TsCjk+otnoviCn64HJhlH4vPjil4dxza66eOHFQp2hN0mRGX5W0By92W0ao0pYaZMlrCNPJ7mKTBLGhh4OETTJUE0Uy1DNqehy9zaFtXUwc11QK5ALHRnuRgOj8Pj7zxEKJjNvffnhINWiMJs3XZ/FP+ausWal291nInoJhHa1s6+5uVEOBPRowEl+J8MOW6J8s4W5xXRpkGGbaXCNqAdIvA1jlGcWI0Ow8a8iJDWeE4DnNGIID+cKGeDWNtYprEuJRKKs+zBOWqFaiiX3IPz2wyBaEA5RHhsFXNbISoNUu7DFcIa25FzI8+T/+T4ReBrnpPGmI1g3Nhu62gcnwhazZAUdR4eBF08FDH34Yz/Nh+y3hb4SusyDWGvWeBrOGQOFfVt3scGZKZxPTXTiZuHzONjwu/+yXqU6Psw4CCHx+Hx147GBwGPJpjD4fHXj9nO49+KmvzXbucRE/k+/t0rePbpp7JnaITNg/s4cc1S+rvbMAumIvNJjGmhwAYG5qpoVaiifiIcJFTH69iJRmmiQqlaoWDYRF7EsvnzOWLRPO66YycPXPUzLr3jFr7/rZ8xPlFj11iJj/30+5BkOThZoS43+FrCcZ0LWNN7BKWxg/S4nQz09vPGl76V17zjrdiZfoxqCa8+zrJCB3YUU/ErVHRbdY61FV2ectLpLB8YYF6xi2LBYevQPhIjYv/0OLsOjrFr81a6OjvZcXCCW+/Zwu7pYTrb2mnvKfLA1DDbRw9SczWGhsuYXbBnz0HCznmqhH/UDfjkpz5Ev2vwqmc8Ba0A+0pTnLR+g6JUhqHPe97/LgoC6IhS2rQc9dijXJ5g18Qo9GnMLRwNgUb/ogUEYYjdKw4PuHNiiB27J1i/6FieeeQZPDC1g/e86UWMytwUKmQKKQfGD3L13ffznCc9k8npabZuuZ995VGedu5ZHLdoGQPtRcqjFRbl+vnM297C6//t46wR+EdNqJLCSdDYMziCkzU46QnP5Qf/dTnvuuAFTE0NsmP7Pq7ZvI+ORQt52glnUnPbGU9q6oa6ckDiq1PYGYepKpz6pLOZk8+it2fZPbRFRROnJyOS/ZtZ3N5Oe0ceu6AzPjhJv1vEyTj0d3diGy47HxhktOoxMe2raPITT3sad1xzC/WRCXw7YGXHUkaGJwnDGsV+m7yboaNjMesXrsIycwx0trNsYIA1SxYrAWjrrq2sPm4pP7ntBnKBy/zFc7nw/CeoeCQlnyUL2jnr6GNxtZhkJGTnvYMszPbz6zv/wECxi762doq5LAf93fzklmvZsGEdb33rq7hp42Z27NjDv37+QnaN7OGEExfxpf/4EQsWLuDs45/ES9/1IlYfcxTPfunT+f0dd/Fv//5Bdo4eZPmSBVDLcdk3/5MDd+3hxPVLuPueHejpNDf94Qoed9Iy9g1upbMvh2bVGT44xbsvPJ8nHn0sp68+gm1bR3jX697CnCW9TFbLDG6fgNLt1JKQW2p76ezoJxNEbDm4n49847Mcm80wOriXr19xD7ooRiL0mNLH5qBHCqOqIuTi1FGJS3nHUI6uGVqodPgpuqvIXfKgOMs0B12a/nVxws0AJySuKK6zOJFOOI1Ij4mke0top4mGbs4AIkzVFzcTwxR/k2zWkPa7VLrcpKdPRCyJX+qqn046vkQ/iMV9+KATSmLrEvWUfrMgiLCdmYhkHNXFVkSYWgqoEOvi6BJXXYwv8dUwUu9H0ivnFAuK2IojZNSE0Cyo7kARzRJxvgkgIUlV7Dd2YtWDJwCStFKaIQdrM6APmQaVYdZn3EdC9bVtg0ibATvUqkIfDpXjTE88Fcc1ReiTiG6SUvZEKHVIJaYpAqqakEhFf23HQhehzJNZiQlUh6BQhjM4TkJQT4nMhFI9VsRh6dkzJIbsS9tdrGKqcRDI24nqYpMYrTioJDIsm5IePnFCSi9aEhtKVJMevoytE1WEcGthaNI5ZyhBTJ4vopI4G804JYwNJfJatqFo4BmjjudJzFX6EiUKLh8G6SoWXBPh06tiZmxMt0AURQogIfFiQTUrkrIcuimE1wpBqJGxJF4tHaQJGUl/S345qGJK1YKT4Ik4qseqU1KXbkfNUoKZaQlIJCWuV8k5IXEQCQxWQTJ031NCsLiFJcos51S+r4Up2byhnHrS+Rh7Hnk3pVoKiTShOwu4BdoK8YxwbRs4eYeEOr7ZgRYVVHQ4dmaoz3q+qjoDhSZsOp1QkWpAjyQy8D0NPRRdrkZc8jGMgCCTJ/QM7KxOIpQMZl43lhnR3mFgdYlQVyasTVKvJzNitpFT127JsolKdaiN4XQUMcrjChSSNR2MMFRicGBmMN28ei2I61OuAbwp1aVpxDH1SKNmtzGVFqjHCbm8nJYYw9DJCwjLk65IkyCwCKar1MMCppFn2newBObhOySOjasJhdqls5BXUBUvKOGKY1Joxt40hl4nk82gJQJ3mSbwdVIzhybkY7+mrs8oSNAjHV3O4+FxePydR0MoaAgnDdGguXtP4quziTLN4mCzCNYQXBoijKy7WZQTsaZVkPmT5zz42GyRWLlRab1Zaaz7LxX+bvzg5X/8XkRIcRfMJla2EmllLprdda0iaWvsdjanl6yjsZ7m45dlJb4pQ2KojXlvLCciUjPpVvZBBMQ/ruPBjsFWJ1+r263ZfdnsIpTtN35u7U2U0di3Qzk+RUAUB2TjeBtzIXPUcDu2koNnE7bkmmtsr7GszEer0/H+sRP+uE+tAl3zf81DntcqUP83kIw4TZvdp2edrwTxP1nmwblrXOeNm9nmbTZ/bXUhNgTkRsdig07ciAY3nivrb+6JbAWDHB6Hx19D+v1zoyFYP9LRzr+VsPT/6vi3hym6trrlZjuPf2k331967hrL/7UdgI9YXPfFr30mc+w5DKzoY+++Pdw/fABtImbt2qUMlYYZGa8S1YSuqYxAOO0mtWlPRetC+QNf03FME8O26Gkr0N89j7t3bmJxTydbBg+QdQxWz1/MvDmdjPkRg3t2K3dPuVThyIUL2Tddox6WcNFZNG8eUWrx7ne9i6996hO8+PynkWnL819XXs+vfv5zisUMfsmns7uTdcuXctUtd5A6qSICaqlGf6FbqZ/bhvarm9QFy+YyOj7OG576XL75u19Q9yKMjI4Z6CxatpT777mPalAjrc6QOZ955gn8bOOtLOyYx57yoDTak81niKZSFizvVX1K3qjHssXLuH/PFp535lncvmcTXrvF3LCd3999K216kbZMzKaDwzxmxQJ+f98u9MRi8bIBlnev5Kot12EnKV2dHYzVp8iFGcysRUb6Dp0i90/upkPL01nsZPu+fczpmMvQ5F4G+vqVmCgOmjkd7SxdvJyFC5Zx+TVXsHXvHjJZh1otIIpi3vycJ/KTm2+hMl6nvbudzrY2nNhkqDRGmNbZcPJR3HP1TgZ6C9yxdTvz+9pYWFhI//wcExNj3L1vH2ng0ts/hx0HtrDQbsOgnVMfu457Nm3k4GgZ28gyVqmwask8Ovs6uOPOzWSSmEps0pF10IptzM/PlLcP9C/le7/+BQuXzqUeVDntiNPZP7GVvJWhVg+4Y9d2Nizopbt7Dtc/sIMnrT+KS2+9mYFCjsHRElYbRBWY09VGUYTavTvpau+nPFXG7DZY0DeHx6w6hbv3XcPoeMxpq9az58A0kzt3suqoRQxVQp70zBdww1XXcOS8Xn5x9/U8sOkeXnrUczj6OSex666ruP92j4o1QUeYZfvQdsyOPIOD+zlx+VGkTsQdd2/i6U8/G5sCI2O7SaYN7r9rM6c8eS3z5/Tx/q99k0m/zJmLNnDOBc8lPriFz377J1SCKhomRy9Yqeinu2uTTB+cpH9unoHeXkEhsK73SAZHh6n7U3T39pGGORZ0dHDX1ns57sT1aJZNMlWlc+48fvzLn9DXPocD5XHq9TonrFvJxltu46J//y4XvOtfZpy3QaRiiWQtFYuUaKn0kslrQwQ2gS2E4t5KdeXmE6CDIWKSCGWiCZozXWsEEZEQZWNxRlnK4auZ4naKlSgnIomtifCjY4lAFkFqzHToKVKvxG3ltSmkWXFsCQH4QfhH4rrq9WVY4uQL8esJpoiNtk3oiWAAiRcr91qSiAPQV71hsYAQ5Hi0mLgqwlRCIuRRzcCS54qIkgoYJMaRbrxQYBkiZETKVSQuOsvOzggOQq1QwAUbTQAfEon1atg5d8Y5JSRRcQIamkyFcgdGvpj+ROTJEpenFVVWVE4R1sTVJAKKJCIlFikdd0J9DbQslsyhmQqriHqsYwhpWCi4ClBsKBObbibEQYxm1iHJqRimIQvYDkbqqXOVpBIllb5UgXSIsBRh5jLYQhCWcy1ha4EbSOdaoKl9J6mhuTMAFdUDKkKjESoxTzAZ4qQTx6vUEvg4KgosypzCs8Ti+vTIFaWPbcaJGIsDzUpJfR87Y2FGIZGdJY00UkdXImiSONgSZRYginLrieiTwbISRUYWcqshkKJIJxGCsbjANYl269hyvqTDMImUmJuaLnZaQ8xomvTvJVXV2yiAlyARWAbo2SJ6MIlh65SnUkV6lVixdDDK3Ip/NXEzpOUqppugBYbwVohDcUKKmTHCyNtEgYYtDk0BYxRiwqqEzetElkOYaGSMlETPEacVXEu6AD28khCSa4Saiy1OSzlXuosfpUrcTGNDuT0lNi1zKQK3fLYl8WmJSQugph65KjZsxnVMx6WeCqyjTOrkMMR5mevEq/tkXIM49BQlOlZk5w5sq6rWL+fGMmzKtRnRPpNNFKE4TA3ymZRsrcSk3UPGjPEiH8vMklZHiQSKldOpyz/MeoLtdBCJUBhqhIb0Q8rllhBJHL3oUJuo4BZcSQeTJjEZeV/IOXgVHdcRenOAX6qju20Yuo/uugT1iM5ilql6RNax+I8vfPaR+PPl8Dg8HjHwxmyR20N1ybWOVpLqbG611v66Pxe1bI72Nj+vsZ2GUNeI3v5PaLwiEraKd43jmK2nrzFawSON42yFkMjPIkiJ468RB5bRTO2drftvNrJs85htvhv737zfzWKeiJqN422l0h4qHt0QUZuP7eE6yVppy62Pzdbh2Dj22ajMrdCXh+rXmy0qPtvzHs5oXl+jz1BGw7F4qE7D1kj7X+rAaybuypDz0XjtNubs792z9f8rWOEfBb5wePxj9tf9vzgXf/NOvle+6QVsWDafmzbv4flPOIdk+iB37h/nhgfuUDeVcuOvCIy23HwZ+NpMx1Vb3kULdKpawBy3h+FwUt28y41kxjJob8txcKqEHiYcu3Ydlhlz//btdGQ6mahUlLjxhJVHc92WLRh6hBd4HLlgjbqBKZWn6Zzfw8jwMMct7uWmncNkJBaUdVjU3c/GbZuY19mhCvJHKtNEdY/2XDsVr4Q0i1t9OtPTPkEp5IKnPYlr7r4LvzRBR2c33T19qofLq1WpjExRSgOGRiZwezM4fswZx5zMzbffxdT0FOefcwJHLp7LJ7/zO9J6QntPN5XROp5f5ns/vJRnv/4c7LqGl1pUKhXOPvMEfvuHm+nPtVM2Y9asXsLObTuY4y6krI2yd3iMp510BD+77gFFqNSEM2AbPObE9dy5aQtTU3WedcZZ3Hb3HRwMp3jzM5/Pdy/9LfvKQ7zorGdx8123UqrVeewJJ1PTarihwd0Ht5AJ4fZdO3EyJv50yiUf+xc23r6Vu/ZtY/PgboqaxmQUKyfS5FCJxx6zgVOPOpZtQ+P87Kqf0d/fxcvOOAsWLmOOmzB3oIezXvgavvKFb/OZd7+Zzr5FHLu8n+u338tLzn4Ku/aOU7Y0+grtVEpTPOnJj+cd734fn/33b/O2t7yY/RNT1Mp1XnruWXzvxqtJfZgsV7j44vfxz+/6nBh8WDuwki3b9tHT08Xx61by7Je8no98/D3M68xw7d138bJXf5Kff/cjzO+Yx6g3SX+7y77BkroJFWUk71pc8MJX89F/+yAnr1/Lxi27uOjTH+bCf3obndlO3v2pL3DnjT/nD3+4jTkD7Sy0OtmheQSDg3SuXsINl1/OB/7l7UgG/f2f/wamVWHXeJn29g4GckvZOnI7Z61/ArdsvZk2u4Nl87rZuHkbE1MlTj32GHbv2sfde3dgZW2WFTu48BUv4J5duznzsc/mhe94hXITnbR8Hf/8L5/iwOBOXveeV9Oe5tiw5lim0nGeevKzuOyKS+jJF/DTAqd1VPjQjQ+g16usX3Yk7/vgF/jhVz/Bln3jrOiy2bbvACecdALfv/4Kjp23geVHLOTIRV3csn0fTz/vPJ75ogs44/Hn8ZgBl0/87GqC0MYwbAWymIFESE+agDli5aATNVAX0UFUJ3H+SXxS1xW8RJYT4S1JDFFfSBQcwlbimSYxSnFLxvEMxMLW8Gt19ZoPxMXjWAQCIZBIoy7xYI0k9TCMrBIJlenQ1FVnl2hJIg4KiEZ65qIkICtdYKLmiKNKM/DiSJ1yQ9cIRHgKEixxFHsJuWxKEKU4WZ1IlDURFINAMYU1PZkBCEnHgJVF1yMMV/Y7ItUzeJVA9d/phji6LNWNJw1+9VA8aI6K7osgJgKhaVmkQUoYCFzDJtYDUl+EHY0ISwl70ldmSZdZGqHrQstNqAYRlnTOibtNs5Q7UKjfEjm2sxZRXSLHAtiwlNFPRGA7QcVTxUWFwG+Uu1Iq4MTFJuCIkLQe4qWmJJxnegWx8OMA25Aj8LDNDEHoqYituOUEWCKthUlQwpIIdb0Keg7DFfFV3ofqCrIhXYWugE3SRjTYVtFOEQ5FHNaEjuql2PksWhIpl5/himNMPlwQuIlPpq+DpFZRZN0gDdBjnVSIwxh4vq4ceL5fI9YzuHYGalMzRGLh8YapirfKP20iDc+ojQn1WoJjJ8rRGEUhjiWx2EAdl69itKkCj5hxVblC48jFkv49cVWqa09+FqcbVMQaGtrKSSf9kVE9IJMRYmwGry6xd+nfk3Uk2G1tJKUaSZuNNV3Ct9txjTJRbBB6MYU2k8iPSSyXKPDkFYUp59axRGMjlL5Cgd+kFtmCiVcLlbgu4naqzXQsirs6iW0Mibm3GTAdCQsFzasr4UzcpUnJI8r0YEZlIjNL1krRJA6fmtSDGrm2DHq5RNUqECUhpojntkNtuk4ml1GRaCwHHBs9EFiOdBiWMMy8eq3axU6MaFK9LioTVbJuTJTPoYcxBXxKkaXi0vJep5En0iepTzvkC2J78vHsDK5rENRDIgGhFDOql1EgUNmONqqTAmmRSL9ORy4iCA0u/trFj8SfL4fH4fFXj3/92E3/TaCSMZtD7VDC32yOtoYwIyLcbOJQc29cs4DTPJoFwFbxrlngkMcaglWzO+8vGbK+ZvGlGXTQKsw0d/c1RjNgYzbxsnXZQ81fq9glo1VMaxaaGmJVsxjWcJw1i6Ot+/lQIIzZttm87ca6/yTO2vLcxnE1O/5auwebhcNW8exQomPr+Evpuc2Qi1bhrHnfHkpQbRaZG8fVPD8i+LVCQB7qGJr3TQTgQy0n6xbnovQxNu938/plmb83OfPwODwOj39M8fHfHuZ6/6fb/5uLfM9++dOp+ZEicIpBxM4bPP2YDWzcupedB4Ywc0J3fQw3b7uBeR3t+CUYmjpIqepjuwaRn+A4Ls953NlMT4yxeWKMdfPmY9sp37niSgh1zn/Mqbz8ze/hWa98FvWS/LEfc8yaFQwPV9g/dZBcaEKvTW2yzvNOfjy/u+NmjKLLCQsWc9/+XczrWMq9e7Ywv6tN9aUN759grDqJH2scsWQu+8fGqYYhmTDm6A1rKA9NMVryyBsJ7//ou3j/x/8d1yjQn3c46cRTuOjir3Pc+nWsXrqA9158MVZiccyKOdy/b4glAwvYMbgHN+eomyMReEQg2ToyxMff/jouv/k6NsxZzjnPeyPnnXsea5atoK6Vef5THs8XvvFTuud28C+v/xc+/5lPspMhTu48jl2VKVYsMDG1HJv3jLBo6RKuv+e3fP2in/LNr36OB7buou6VKHQU6LTzlMMyJd+n5tUZ0idZVZhPrqNLkT99uZEuJxTa2uht76KeN7jx+j/w/le/k9d99F/p6ijy3HOfQF4zuW/bXlYuXs0lv/o+Y+Me3XNzLHDbCO0CRSPm3j0HcYpyo5YS5XWcUISHgGefdx4/+P73sQtFxqdG+em3f6uulX27t3PVr77ND66+mlc88xn8/Mrr6OjOMzI0rGAiZQPe9qqXs2vbfn5y5W9Z0rWQ7RM71I23HYb4tRi3w6XQleEpR55OuRTxugv/iW03/ZLlJz2Gd//L2zl+1Rru3LWDA7tL6JmQg9MVjj9xEbWDsXIa3bdrLwsXLKCvCPOf+nh+/qFv8tQnn8F0UuD2637FsWuO4pVveTff+cYnOGHxer7z+9+Q7+pgz5YtmHrEE5/wLMYObueCV72Cb3/1m+zYtZ97pjfjBgYnnrieE1Yei2/pXP7jyzn+uY/nvBOezRW//hUbjlzPf/3ky4Q1jSVr5/HNn11KwbQp+XUu/9Yl/NdFX2PtEUu57MY/cNLCFfQuO5njTj9ZzduL3/x0uoptUmvFcccdwYue/y9c8KpzWNe/jIXL5nH1rbdzxNwB9GIbaT1iybxuzj3/Tdx1y7f4zjeu5KzHncy6VUdy2fW/4KrrtuDkQsYOepxy3BksX16kOHcVn/rM53jeOU9mcGg39+6ZUiX/iS6aqMAfDNLAV/1s8rYxk0SNZ3r7dHH5ibgzU5MnET9dyK6ByIDif5LniBvMU2AF6VdzhaqrS6efrtxbEmdVZN8oJjJcTC1QIAURExOJdZIQpi6OkaquOEVs1SySMEI3pTBQOhozRKUQzRWxSEfTQ+UGFGFOxESJq3qVEDsnsA4RZWJ0+QDCATvJkpqJAmKIgmwK+MN2CGINPU5xcwZ+NcGSLKU4CGt1wSVgCjBCV2oMiS4fYoTUApkdEV0E5CEuwlQ5DEOBM4grzZLorgjNJokSaySuLO4vmbwHASGGgx97SpzTjCJaOIrh5NWx+jWxnaXK3SaOLgNTgU4UBbku7qciRhoQy+RJFPpB56MuPYSKbSw5WhHmDNXFJxALEbDCUM6DhiEOOQF+6IHqfJP1i1arS4xVq4N0IqYWpsRh5XhMifuKECWZa5MkCB4kGidqjmR6JJ4r5z6uVdFzEoc1lIAl0IlUd7E0X0WApXNORGBxTCpBWa4Tic56FnpOE/UWX9x8IoRpKXVRfP0AK1dAD+ukupBopRPPUj1yQnU2Cnk86Q7NZtCThLpXUUKqFkgfpEk2J/Y+l3LVw7VsNE2Oe4b+nuhyQWi4xTyunTA95qvjVkK09C3GsXI6+nIuhCacpmRyBQWeCGpVJZBVKzFtZoDnGESxxIIjNFc6+zKKXizRWdsVyIZHWPcR6Vq3dLK6o7r6griqoEByrZVrNRUtluMXoIwt5zyyiCVznIYYqY1U3mWzprpGqzI3cj3kHWxf4sMF0rBMnDgUHJ9Af1AIrhq4hQy12CKflJSwK8KxrsUUcuKWrhNbWVyjSprOiM1pamDbGZKwThTWcLMOcS1B7ywSBHUcMfIGdUxx7GLi+Vkcq0bVj8k4OqFcL+IONuUlleDXUgXiqXg1MgSEaYbUSHA0DVcXh7f0TAp916G93eY/v/SFR+LPl8Pj8PirR8MB1xCeJBLZHA1shTg0u9OaR0PoaHZINZZrCG8iKDYioK1CSUOgal3PwwFtNAM0GoKfjIcD5xDIR2N/DiXQHUpMahYCZ4tjNgAZh4JFPBwh66HEodZtzubKa6yjGQLS+piMZgJv8/HOdtytzrtm0bIVFjIbVbjhXGwm7x6KYNu6/T/3c/PcNNY525y1iorqsb+g02+2a+ShwCDNbs2Hgm7MNpqPRY5X3JnNfZCt1+Jh59Hh8bceEsv8/0Fc/t909s227pP+Spfoo92B+LcX+V71NBzDZuRgiUzeVsXmFz7vOXziO9/DMR26O3ppL2hogc3g5BjlSoWMY1Op1XEcA6NoUh2qs3L5EvYdHFLOmyO6B1i1ZgE/v3cj2ljM2adsUGLZvp27uf3ALjRb57HLVnLXrkE6u4oMTU3hmBr1csLCvhz3jYyQd2xs32RR/xxu372Vk44/lqM65vLDe6/inA0nse3AfiZGxunt6uWe3bs4bckSnv/6N3DFH37Nts17cPMGuYzL1gf284lPfZE7fvELRr0Rrrz7VrqcedhmgFN0uOP2zYyE47zo7Kdw6R+u4BufuIQXvvMFZHMG56w/nc6egnInPO7p53LR577Onj2bGJ6YYt36NbiJw3Nf9kR66yb7Rqd520c+g+ck9HV1U52oMV6bZI6UIGV1KtMeqabxs+9czstf+xJOWnsCN9z0Bwb6bfbJY3rM0s6l3L9vC2kWnnjk8axatJwvf+cS+pYvY8vWTSpC2NafY1R6A0Wq0WPe/KKX8NWffJ++XI7+7gV0OCnjE2XumtqLpP6ef/Zp/OiWW8GDfN7imCOP5obrb2VRex9xMeRApYQbaXR3dlIOA6LxKc4550n84dpbaNdc9odVbA8ed8xR3LD5NtqdIuN+he65C9T6kzRk196d9M4vMnpwiov/8zJu+v232bPvIOc/8yWc94YX8dF/uZA3vPcj2G068YGIjnnt1EoVDMviNc96JW35PMc87gl85QPvZv7SDq657Q7lhpKotG12smffDs498zQ+/8Of8awnnMrorm3o/fPxxqusP+FUbrnyKjpMl7d/5O1s2jVJf24f1944yWknLKZv8cm84ZXPpmr6LO6cS09bN3fecQe+pvG0M0/iB7dfzUDbPJbM6+OKq27nuBVLVbG+F5j0Zzu4fOv1/PoHf+CD738L24b38LZnvYaNO+7kqluvZ3SizIr5S1m94EgOHhziKU86DaGKnHDyBjbtvIMjjziKsdEJSc2StSJe/oHPk8NVgIb5vV3qelg3dxk3b7+PO+7fqlyyL3nOedxz5wO8+pzT2TkN1fIuVq9cQ5VO7rvrKpbPOZ/3X/waXnDaY5kA1i2dw+nnvJIvfPED7Bkuk07vZX89R2zkiEWgUrRaEaUkcm+ShIKi1Wd65yR2Kw4nXaKl0vuWYCYilkWKyJkYDq4jrqFU9aRJ7FcnJtVnxKBU1i29fuJ8EiqFipVKhk867WaeFwmRNKOTlGc+RNCkBy91ScMYN6sSwUoEVOqGQEhD6YeTiHFEmNhKhJGqAIlTyocDEm0UB5nlCmTBJKl5GJarHG2yXSVQifVPREpxG9oGhkQfTREtIGt7+GQVRCNjxcS+UInFfSditwicOoY4BpOYILWwjBkQiIRMHdfAjgN8TGLpXpO5ENiEJugaATGEyqUqSeVId8ggzq0ZymwijjYRX4TIKy4yOW5LJ1YdhroS4rRA4swinMk7s3T5RUqklN/WhFQscVMRU7WE1JNONpPACxUYQvdjDBFfZL8MISvPxFBFUE3k4AVoIuJbKA42ceUJrdVT8WjTMUl8AW3EhLE+Q4uVLGbWEYQvSVhT3Y4SizXzQiGWTkbJZGugnHwhIS6G6REHFlk9oBJZCuogFQNCV/VSIcWGqgswkHkW+jA6HQWLUjXCch3xI6pznuoSi545nryu4Quow5gBy1SrseqSdJw2tGRKUZpFaEsEyhGbZBIRijOkqcRRNcq1BDuNqAcGVsbGSX0CK6NcrK4BQRoreEhQqar+Q3F5Jyp+HWJh46c+aRBLiBmjIMK0xKkL+N44bjaLL9RoLcIINaysRGnlmk4wjTZiXeYtVrFmDRdL9zALBcLxMqltqXnxpd/Qk3/KE2KBWgmUxZBsr4llicAeEms+WmASaSmGYWL54qozMTsL1EcnlaibZFwsW6TZHNVqRC6ZnAHNWAVFXda9GpGWxcxrZLWY8YqcOktecoSmdO/VcaRzUjcoT0W05RwV/831FvGHDpK6nYR1cYvKv2MGet0j19/O2ORM7F1c5LUgxhXxXwTxjDhTcxCFZHIxukJgW5QqYFoa37r4y4/Eny+Hx+HxiIh8zUJbQ5wRQaEh/swm7s32nNmiiYci5zaWk9EsejT/3BByZhPtRNB7OCLJBa94y6zPbWzvUPtzKLda6/obXYPNkdTZevtmE6haBdRW2nHz3LbGpWcj8zaOoTkS3Rp3bT5Hjee2Rlhnc5b9ObdZ85D1NcQo2aYIyHNfe+sfXZMyxHXYOq8Px0X3UONQQt6hRNTG8T8cQbP5Gp2NHt3a//cn2zrE9dPYjow/QlZmEUBb96n1sYbQ92i+uX80jsNx27/tOHyNPvrHv/0vv4/8zUW+sy94Iv25AnO7erl95w6OO2o5N969Cb2c0ju/QJvZTj0KODg+RqwldFl5Slqd7kIXUc2nq62L41Yt4Zp7b2X/ZIX1S+azdfcQj9twPDsq+7jvzr2KyNnX0UWh16bu1ZmT7cWLfaYnp1i2ainVcsrG++7ANkz8IGTenG5qlRrP3HAkP7hjMyuWzGPXgX0sW7qUA9uGCZwqy+YvwZ+K2LxvO4tWLCFX1ti4ZxNPOH0D191ynxI2an6oblzm9nSQ5ixGBicotGXps3rYM3GQtWtX4E1Ncfu922nvlVhTjC9l7mic1bWO26M9fO0i+UdkLhe+/oV8+ouX8K43v4jt5TJBrs6avnWM7tvOzv3T5BfkYEpgAd1YZp33v/o8Pv6fl2FkMuzev5djl66iWq0xODJCW7GIk7OJijHpiE81DlTUb2K6zpNOOJW6X1JOi127D7JlcBdORxamQzzLZ26hF9vUybhzuHfP7TzvaU/lxptvo6x7LJm7gPvv2cljTlzB76+7iyc99mSuu/tuOrIuk9M1ejuLdLa3Y0Qa5fIUo6GvbmpTU6MYWkxlPNbPPYJ9+w9Qqko3lIXwcLcdPMhLnvhkqn6dl7/5nbzyTa9kdGKUp592Ek6ny3XX3Yvte5QjD6enDSMwWL5wMcN76ixZ08HvbriOcSfAHpPC/oQ2oTZWA/KdHXzwHe9mYO4qdl/xE358350EU+LYOsiWiQlOWLqCXcPDzJlT5O6t+1i3bClje/czUq/ynGc9g2OOPJkHbvktl11+jRKu5Phe9L7PkG66jXtGbuPyX97EVKnG2179Mm57YA/+9gMcfdbxFPYn/Pb+Gxktj7KzNMmpy9ZywwP3kpgBLz7r2Vy3+3aOLvRw8/bteBmbqfFxjupegqsX2Dh2L09auZopw2bf8jrbf/YA56w5AbOrnaPXrOaB2+6hVplm154D9HV2IPiAMIpZMm8Ju3fsZigd57FnnMw9N27liGVLuPT2q+lI8qxbvYpFi/v54WV/YP2JC7jrlkFeePbjKdfKFOf2cvEPv8VZ64/H7C1w7eW38J/f/CLnPfvFLF3azb++9hW8/ROfp1LPUdP3k88tJBaxJBQYhz4jYEkPnoEiQIsUIK6z2K+jW6YS9nxxgunKzEVYE0HFJzFsHAkcSs9cIO86ki8XMVAiqiL0SEfcDFE3ESJsFCrRTildASqyKpAMS9YZmBhJFV8zlOgSylch64p90LTVelQHnSZx4QTDcfE9H1OWDU2cjHSzWVheWdFvIxE9pEfNFmKsiDISw9VJ6iL+gaNH+HWDVMi3hMo1JW+ZkpYUoSQWV6MnlFKxApo4eqrihOL+E+prEqbo4oaLs7imR1hLCDXp3EtmHH6aOO98Re5NhNWsbJMaiS+OOnGRhTgSa614xBkHrZai2TNiYpy6UpyoaKdo0vkmYrmhorzyuO6Iu08ymwm6Lq40OWOCN67PkGvF/CgwDRHjpErBEhCSpkRdiVynqhxR5tVR65bKBXkfTKJAueRScfPFuhKRrCRSQleS2qqrTVxbkdBdNYns2ojBzZSINrLMTGeilXjIXntVATkICkRgEwFmxiAKRbLVFSAF6f3DxhEoi6VjxNIFGWO6pupi9KYjmXpBB6vjSzI5ktDH8xOKWYmOWyqaG06VyXTkqdZ9gsjFdHT86RJ6MU829QljB9uqq3Pl+x5ZISGT4Do6dc/GpkbqSB+jQFmqJOWQJJfFCKQP1sKxPaLIwS1Iz6yHleTEi6YESSFIh35CoqAsInLXJEmO51ukIgOKc87O4kaJ6hOUDsy0LYteKxGJK9E0sdNAMW/MMMHMSp9fDduylUMxFadpm810KaEofYYidNrdhJOTWLZGBo+KgHVdR0Wn5eWSJgbZLhfTrxGEJqmZolUEfiLzoFEVIktQUW6+Yhb8RGL6WfSwjJ13lZvOcE38WgU3DbAyLnEs9OeQMNtDXB7GdWyisqjiLnpSJklyKpYuDl5xkwoFWsWsxc0rrklNOj7l2tWI6kJZ9kitLLZpU5dIdOiJqR+Moopef+Urn38k/nw5PA6Pv3o0i26zCUrNYlPz+G+gggdFDxFynj3U/d/EreYY7WzCXPP6mzvYZDTHch8qcnwoGIb8TgSnD7/zpFlFvlZScPM2Z3NbtQpxjX605n2W+GsDgNEa8Wx2KzZ6+WTM1tX2UPP+57rsmgXA2SLRs0WKZ3MXtopfzeJd62gc02zbaZyTh9Nz+JdEdptdbH+pMNh6zTeulYaLVBx4cqxyXcsQgbMRxf1rHICtseFDHVfjmJpj1a2xYBGVG2KfXGsNt6Z8PTwOj4cah4XNw+Pv6fqc7UO3/1WR70kXnE3eyFDPh/jDAXZOeph8shIR0nSmJqpkijZJPcWPInKWTV+ujX0TY3S3FRgcnqC/LUcpTWgrigtDx011JsNQFarXJ32sbhujkvKeV72cz37nuwTTPk7Ood8usHdkit657QxPTuB70mtlc/Lxq/n99bcyr61Ix5o57LhrDysXLWZyukw+CRkJU2p+HTfvEtXqeEHEZd/5Jc9+zXlUxmrk5uZUMs0LfOb3LKE9m1ArBQyWxojrAfN7BcgxRC2fEk0naL6B3WfAVMia1SuY2j9M/+KF7Bray+R4VblmBjq6qIjriYR8W56jNyznxqvuoW765OMcU9UxJup1nA4HYzJlQdcA7X1dPLBni4r8re5fqIrKN+3bSme3yze/ehlv/adX4pXqbNmzl/7+Tsw2h+MWrWR0eowT1pzM93/5W+b022y8Z6sSFiTG5bgFqvUSlsAO8g6ffMur+OR/XULkO1D16JvfpaJr2w8coKsjhy7OCulTd3Qsw6DDyDN/wXLGR6e4a/geMo7LCT3LGfcmmLZivLGIufksJUNn67ZtHHfsMdxz9730dczhzDM2sPOBe0h9jaPOfiyT+w5w/bb7mKNZjEx7ZGzQPZfHnLqas89/Fq96yzvxkpJyXtWlJF4ooEEM4xG9CzvJWLaKd4lL5/FHrefHN2xUPXZ7N2+mfVEP24aG0CoGy/pzOFaezPwiQcVndHicTLbAyU98FndddznvftNr+Zd3f5iqXqct10u9NM3zXvhSjjvpcfzwPz5PdW7Ivb+4A7voKGhFf7GDjfs20zdQ5N6bdmFaEcOladavWsOm4fvJ5ztY5BSYqMZ0d3ZwdM/x3D19B+2FlEVdK9m0ZRtuR4bL77yJNXMXMb8tx/Nf+XY6MgWGD2zjpz/8Pn29c7jlpo30dubYU4u46MOfYeM1V/Ltq//A2Ucfy5pnPp3ff/XzFArtOB0xBbuN0aDEfTduIkuBrp4CW4d3sHbNSq645l78bIUnHnUatchnYvdBunvnsWX7Js570ikYmRy/vO5y9o06uOYUNXMBEgSVqKImBFwH1MUnQpThzHTsuSICRmK3ITFdDHF1GTqhdK7psaKaqk5OT+QmC91S3B0VoY01c4Y+G3gqDqonIhTbM7FHae/TE9X7pYnDTHrxpIg/tnEzunJxiQyUKKCG6FgGRuwRpYZy5EGVOBSSrXTqSTJU+u4sFd3UBc6QyxJ54qYS159P1sqT6gL1kMK7ADJ5BN+QSO9ctk1BQ0IRZwQkIj2BkU+IScYUwUto4D6JllXkcEXTTSWSqxF40vUn4kcoNjI1F1EQYiQBesZRAAzp6XOz4lyUPjmJ7Mr+JsrVhWsT+9LJFqjYc5gYWI4t1jEwJBI7A8eIheyrOZgCSagJBCRQkc5UlxindNM9SHU1dALfx5UeQHFHCqRDwRlscAKCWHxusqSGlSaqZ1DiranQeyMd107RTVFx5fkZ0tok4lXLmNKZaChRVwRFsVMKsdgUd5q4zFyBlISE5TJ2wVGXkeFKl94EmO4MXdV2sGJx3Il7s4Zmi5POU5FjIfwaSikU2ESKnYZEpk0YzAhehpBYPXCsmFBrm4n4Chk4qSqQih9Jv6KUN+YJyiNEOEokCoIZAdtOIirkyDqhEmjjukBbXGKJuloRgdaGngQYeYtIIBpuB2Y4JmlY7KyJX4mUOCZuViR2rOlYiUZNACWWdKaaRDUNM60rgdrJG1ixfBiUKBE5056SehpWxiKtS22ihueFaLGAOHLoikorlHpN9eW54pCVHkvPwslrpDUTK1enNAluZxbLaadeGlcuSlvmXc6r9C6KoO1amIah3JZheRqrvQ2tMkVIEd+vkMsXqJUr6nXndHfiD4+RcfLqAxC5tiO/iiavsbBCbHdgpxKRFghJqqi8mUIbUSpdmzI3UotpMDkdkzfEhRviIxFcDcurY2Zd1VtZ93U6XI1xERYrcu3q2FmNQkZclFkIq/hGjO1FuFnp2AzR3QIXf+FwXPfwePQIfc1uvoeCbDSLSK3iXPMQMUQEv0P15M0Gumhdf7Og9FBCX0M4bBbaZDxU1LfZUdYaF5YxG+yjVZRp7sST0SxyNq/jUAJh43etYI1md9ihSLaNLr2GmNg8ZhMum/djtn1rdfIdKrLb3Gv3UACLQ5FfG2JU6341jr8VWtIQ2Jo77v7cOFR0tnXItdEa2Z4t8vxwBcSH2u5f+1gzZOOhnifC4GGR7/D43xyHxcHD42/p5FOBrkdinLD2bOraTCRN/hepaJ+mXBfVakCh4FILI/XpvHxSH4YhO0dH0MRdkO8FC4ajOgt7e+nKFwiqCcNBTUWA1/b1YlgmaWUm7tTZ2UPdCzhy5Qpcy2A4KnPuBU/i2FUrMB1NOQUHFnVy032byWQzhGJg21PD0WyCNKR9bhc7ylUmyxOYuoabptSqAV2dBd5+4atZ2z+X49etoRhksDtdpIKrFo2xfd8B1RsYBTELe+axb2yEvv5+ipUi3WaG2EoIaim1OODGa+9k9/Q4927ZxMLsUp561HFoRZvhsMp7X3o+Tz37aKr1aW6/5XbaO8TVkvLpT35EpAmOXbQavR5hdFiMxOOUp0YJwpBKVR5NCBKfE9euZmSsouZ+ojxGmtHo62/nW296L9/63A9YsnCeBDoptJuYTFMv18lZFqEXElVCpssTqpy9QsiygV4+9/XvEKQ2B+ujXHzJj8hqeZ7xuMdw+rqjyWRNFi1bhDSQLeloI2fb7B4b5dbtG0ls1UpGPna5b/ggQ5U642NVTj52Jfs9j1q1xMpFC5ge2atuYN/2L+/kWee/gUyhh6e95DV894c/5vwXv41FhX7e+MbXsmdqmLpnseaUo6h6UxDonLpiHYXYIUqEvmhiVsQBE/LWV5zLku5+zjj5OE5aexonn3o6l919L2ceexxvOecpzJnXzeSUz4kbjuYZZ57C4859HpOlsopvH3nEybTnskyOjVAaHaY8XuX7P/od57/ijTzzWc/mwvd/kZMeeyIfv/gTPPWlZ9E1x+EH3/oVjz/mMfTnOli8qpvVy3tVb9WitgGe8eTVzO+fx1POPo2TzzyJ4444EQ0Dp6sX086g6waXb/4lc+YtplIz2HxwOy9+6Qv45a03CCaVbcP7maylbN+6lX0P3Mz2HdsZmZxgsjbN4qVzybgW5do0n/voO/npdbfSbpn88rrf8NuvfJbR0RI3b7mf3YNjjO7ez313buIjH3oHTznnNCaDcdauXsv8I+ZRy5RYN2clq+fPY6Cjn3xHjtUnzuW0p5zCnfc9wOT4BOsXHQeWdAT6CjSgiSNORCtxBwl8IjUUPEdceaqjL5bgaDQDCxChSd5UYk2MWiSGRhhrRNGMKChLSrgydSSGKjAKQ7mcDHldCvFWAAdaim2LyCgl+wLB0ImV/S8hEkdZ7BNKFFfou3qqhAUFZYhr6PLrrLi/ArTYUO8F0q+XSHeZ4aAJfEPefKwZgUP6+BLPg8gmkH4+U0QIIZga2FpAWhMRUwQkcQFGSgiSyK8p0CBStDigrjnEfoppu4oubApd15JgrMyFge1KNFT6ygJFKxbQhByWdLHJzyKoCZk2iEQ0FbTpg31vAtqwbYJ6gG7P0MclBiq9fmkkPX8SO5Z+twQvtvHrnqKwxjWJCwcqwhlIHFnEFDlvhgh0Oq5h4EhtgpwvESt9TYmehlvH81IMlZ8VZ2BMLH2Mia++pqb0wRkI1tfzU4K61LhNq/45FRuWwLYpbrec5IpJghp5VyK9FoaVJ6yUFCFXyMFSHeeqqG+AbmVn3IDiovQkWh1i6nViOe8iTOUKWNKRp5tEpkuo8MQoWmxcC5WQKk7KOMookVBzpJevRE6uH3GmWQVqnoHlyvVgkSYSvxVXqkYk/as56RG08TWLjCVOPVfNk+WY1P2UrBGr8yCQlwjp89SUAJVUDhJHwvfViPwApytLItTanPQkZlTPnyfXpwBnUodY3Hc5maOEjBuhxTN9leI6VaCjmnh1PSrTAWFUxatXMaWP0LAx9QTXtBRUJtYCtLSmouGaUHm1iCSIiS0Bv2TJF02iyRq1yb3oUUAq4A0tUu7ARAA5AkiplaiWpjGDGtmcg+ZXSHQHV5tWvYxOZ3Ymli9AksGDat6iNMT3KuqcyfUU1jy0TE4JpKG49CsakZtVYrxcO9JF6cQR5WGJoge4GZtaYBGFFlq9jJtCtqeg3lOkZ1A6CsUlbkYRmQ6XjqJ8QJBSr3jk20qqn9HSHCJDo6ZlSYSmLO8rh8fh8SgYzSJcs6h3KIruoTr5RISQ54gQJ/9JNPOhQBgi5rSKJCKwyO8bX8UV1vj+oci5IoTI9pvXJ/siIlRzZ58MEXUaoslsPXuyLTlGFdedJUIs62yMhhNP9lHWJU6vxv42RMdWV2Hj58YyswpwDyFQuQu+9MflG1TXVkHtj7HPhmjYJDI2lhUR9o/be3CuW9cx2zlqdrG1knubR/P8yWjMhXKoPfhY478/ETgf/Fm2K//J9h5K4JstIivz0tin1uu1eXkRhxvbaRyzuPcOdUyN0Vjnn5y/h+jkE2H0oc5pA5Ii62jsX+Nr41qd7Thb13mo1+zh8egSyuS/f8TxcPrhDuWqPTwe3pw9nPl7BZf+Refgzy3/aB2P2F/JN278DWZGxz/oYeVMjHJMRyGrbrCjSkS15jPXLpIkEalQ/eKUE+Yv4NhF8xk7uFfd0PQWswxNjjKVj+npLrBwXocSzI5dPF9REo9o60XMLR/9j4vpb+tk+9BB4qz80e/zw8su48e3XicVRCp6tn/PiIpwdeWKDI9UMeyElUcuw3D6iKZr5E2HXjtPu7j4tJi1SxfQX5jDgekxduweZeOm+6m6Pm2hwRHL51A+UCFII+a39xCGCSdtOJHeuXmmRupMGxKFFKdHpAiYOdvkteedS6/VyYndyyj5+9myf7fIc4qe+eqLLuLbv7ya+T1zqVXqbNs9Tr2s8YH3foTqZJ3dE5N4YcrCbC/z7D7CB6mhQZBw+/ZNPDCyk6tvvZNf//RK3vvWN1GuBMpx88Rjz+CJH3kbb3/7BXz2km9z/aYdZN0sX//6Zbzq2U/nNU87BytnEbszkVSrzeVDr381p6/bwJknns5p6zbQ5rRx5Q+/SylKWbZ0CVftulOl+/bvGqRW9nlgapKDFY8Fff2cuH4D1eoUGdugnkr0Tlx4QkhMWLhuHSdtWKX6vB7Yvo8lvfNYvGQNN172Ky765Dt54zs+zN4tt3PimtWM7LueJf39/PZ3t9PVlWfpoj72b93Fd66+mTe+/U2sOPYUJmp1im1FopGEauSp/qhv/f5K7tu/l1/97mruvu8Gfvvb3xGUapy0cjmfv+wH+FWPufOF0ukpZ5av+vlNjjjzLJat6uOC572Yr/7Xpdx60+/plx6yHfdhZ8qMlEboNH2G9+1hodvFl99wET/9xZUsnbeAu0e2ICnJVYvP4NM/+yH16XGe+9IL0d1+XvD815FPbcaG92B6Ecs7FzI9OsZANkuuK8NEtUYwMcrGzVvYPXyQN77/nRzbt4ArLr2GJ598OsetX80PfvoNlp30ZOZ2teN5GqVylWnf5xmveB6vee6rIXaIrYjHHHsERyyfj45DsT/DsfPmsPGmO7n/gX3Ydp5v/OA3lMYqPOWMx/CiJzyRLr+Ppz/2dNYsmscOrcxgaYrTnnAsw7umeeCm+1m4dCXPfuyxJLUp8dSRjV1MiZ4qOqkIaaplXxX9SyecwCIkDhuLgy41VYwwDkSwEnFGbuzF0TYTz5TMpWZr2HpEHNvK8SrpSnFbxQLNsA3VkSeiqAh7iYAwBBZhGWgiFrimcqylXoDhOKqAz7bEY+iopGpsiFCQI7ZsLIn+CknU1LCE9qDAHBKJlUiuq+ieIhAaYYAlLjbdxsxK9DbGq9qkQlZNNQQkKk6wMJAeMGHfWkQiDsUJ9bqlxD6hDdthQpQmSpgTqEUsHXYSRFTkYB8vMFTEVz5MkA5RcZNJEFZkNqHtmiJGGSKqRSRxoCLA0uMnDjWJpFqqv1AEUREvdVwC1WEqIAoRJAVMIn1/dian5lfOkcxbrLs4WZMklfirRkaioaH0EHogYos508Mn7ytKiIpSLEt63x48X6F0+omjSmK5dSXKiNCahJpyW6ZhHUPPY4sAJuKLnBsBLGRCNFGv1PoT1TUYBFUSzaXD1YmtnBJXpU9S3IziaLYtk0RMi1n1fySRjZ3PkLVj0lpNkcN1qQSIA+X8kgqCJKiT73GIhbAiQqIZKBFQ9S2aOereDMVYQDACyvHrcm6FqGwQmA5WRseQTtiKkGVlubqCioQVsYVKZFRX/a413SXwJRYcYxi6iozqGQPbsPAkDO04WLZLVBXnIfilFD/wiGJfQU2kCNASsrL8u5TVVH+iRJHFgScxdUPWkQZkjWRGmDZdTEWEnhHSBVQiUVs9KhFWqxhRgmPmZgTPMKKtM6e6EuU60usV0tTG7pLoeI5IeiAFAiyk+qRKGvnEgUko0AwrTzV1ZgRbaTEMoZ62K2p1+WBJXWeWuFELRfU+IFCTXCGriMmeLsARgWYYuLq8FiOKHRZJ4BNmC8SBx8SkTl0zcDMRXl0nY8RYokBbEVY+S1At4VUNvMSlPCXH5GPl8rjtHYquOzZhY6VZvMRkcliANREEJUy3nawdUhfgibzpHB6Hx6NkNDvgWh1grSJPQxRpjvXK9yK0/SV0WxHtWoWuhkjREAxFcGkIQY147UONVmehuABbxUHZR1l367ZlNASohntMhnzfvHwjytkQAhtiXuNrs3jVvF/yn4iIjflsHF9jLhvrVOttEnSa51+Oydv7uj8R8Rpz1Twax9W8b411NfZZBMk/14HX7CxsHg/ldGue10bktXn/GsfZvB01b03b+IsgGLOIZ/L8hljXev02hNFDjYZw2RpVl68i8DYcfI25bN6P2YQ4cVu2En2bR2P9IrrOBgr5o9D8ZzohZfy1dOnD428rlP01MIW/dPy9hMRHSyfkP6qQ+nDm7+I/AzlpXUfr8g9X9Pt7i4OPWFz3Za99AQeHR7Bc6cWKicOYbGISFw3CWkCUT4mnI6xEp6u9jWqtwtx8kdGwqnq6PCtATyyMnEGut4A/VCLbliUwNKr7qixauIjS9Dhnn3w83/3JFaoXK9+fI29mKRRy7N+/nzRyyPShXE9L+uaxd8cwO4aHOOO4k7h9z93ML/SQ7ewiqJR5wtpjuOSK37Nu6XImSmPsHB7juIVzuXPvkHJGtM/NMBZ6dGUcpoer1KyEoliFcJkYK+HmbCqlEMOJmV/sZbJUpx5U8U252ZVy/JQFSzop2janHLOcm2/dQr3iQD7LZHWCYxYu5vYHHuCSb/6ED3747YrOWihY1L0qpek6oa5x2oYl3LRlD+1hlo6iycZ7drNy/gDDTg1hAnRk2rA1i6Cc4ml1+ud0UamUyLsm+0cm+Y93X0hxyWO4c+MNhJN7Of6Ytbz6XR8nrEX0L8jwwqeczcZtgzzunJOY23My9974E/79p9+jOpjyve//hPKu6/n2T3/HDZvupVYOaGszqRkJvd0dvOdVH+SDn3kfQ5Vx5W4UCqW46m7fvpVeK8/73vvPvOfTH+OkNau59jaJ5qacdOQ67tu6n699/Zv86Csf4/jTH8PObfdQNAvsGz5Ae+9cvvP7X9Oby2DmYj7wrxfzrS99gF/deycD2QJbtw+jdUrELOLo1SsZ3r+fefPmsHnfHuUyciUelySs6l5BZXiEvsVzGJueVpHFk1cuIztd51e79/KGl11AvVRjQlxkXp1rfnkp7/7sV7n0WxezdMUiLr32Kub1dXHSygXsLXsMV4ZZMnAM5S33sa9comibLFl6DLffcg3bRg/ylKefx5mnP40PvestTE2Pc+TRy9m2fZCPfPyrjA3u5pOfeR91HJb1drB/apT2rrmqa9DxfHytwMie+3nduz+qXkc3f+GLnPiG16vvv/rl77FqScppZ1/Aec9+HK9//atYXOjjJ5f+mEJ7G5uHD7CsZx4D3V1Mlz20fMrBXQfYcNR6evQusisclq1cy4ue8zrOfsxqdo/Xee8HLuK/vvRBbt54O0867fEccKtsv/FuPv65b3HzL76CMFbv372XK+8fRneySqizjVQJd9J7p4t2FSaqx02clSJeJeKQM0V4EVFC4qjidlKVb0pE0tNQucNMU0ipEYlmo4cekSheyqXnKKFJlhKaqmNKuDRG1xMCcWHJ86QbTszBxEQCbyASU5mKFMbRg31eWQM9iJSYg2FgSoRYYr6mpaL4joiGcYTmONSqKdmshRnXZ6Adtk0cxGhaiG3rxOEM9EOeLzll6VQTB69lmAR+gO0khBIzDX0yrqPmR+jCpq2pHrzUT1RUWcAgsa6p90NXIo2WuJlUGxmGZc94IDWUSJqxBVwgTjbU3IhTMI6lDFDOikGq+xCZiq4bSGQ6stHNGaHOTWLqCtbhoFuRimimGZuwLqAUDV9PBWmhPogQj2EkCWvpy5PXgHLK2XiRgHhMXDPBS220oI7rSHzWUoCeSKvj2q4SYcycqSATru3gCWlZF2iIkF2FWhxjZTRFWrc0l8T3SBINUyAKco2kOn4YoGUyShi1MhLfFdFY+hVjaqGhIuDZgjiPfdXvlybi8JSuvTqGONNSSznupDZBSL0CfpEaAb/mK+qv6iTUIyIh0kofpMi0cV0BKkS8NaRD0NeVQ1wAK76nY+ixmFgVAES6Ia1IoxaYag4CiX6bPtJOWAmqqtsujQKSWHoRBVRSxS4WFPVZ6MlxZOA6CalAKOR44hC7zSby5doQSI24KgPKdZ/OYpbKtE+a19HE6S6vBS2r+g//D3tvAWbJWaft3+V1tL17ZnpcMj5xd4gRIEGCBndfFofFYeGDZRdZLFiwxYNHiBBiE7dJMpOZybhP69Hyqv/1ezsn/0N/PSGwIR8yb665uvv0OVVvyTmdeup5njusjWNLzLvcTXNkFLeoSBSkcp5LPF5LMMsFoqERzL5erDCmIdF4Q8i8EeNpHjepE8cBsV7CdBLydk4do0hi4+LPlnM130XOVXIyceSTeAmegEVqYwo0Ih2NoZFT9F9LOvk6u1W3ZuInKjovfwCccg49ksC2dNgWSBp1RYBOJX6tW0SUsI0amuniNWsYZl7tHzusk1pdKrrdzAzKIoYL+Vh38bUGsecg1lRpSMw5nSp4HqexigF/48sHO/kOjr+dIQ63lkjQijDKz+3f/7XWOzliOxWU4k/RcicvZ/JoF/smU4Unx5T/XNLt5Lhx+3Nb/WotaIXEVeVn2Z7J8A/5KqJQO8ih9X0rttn++9ZzHhg+VgkH7T1uU8V2JzsTJ+/vyXOZqiewtc52YWuqyHB77PbR4tCT5/aXxG7/t6/5S5bfHls+0HPaIRl/ak6TIS/t58efAoH8rQksf6/jYBz1id+//yxk3r/lc+xVT/AxeMLjupoXS+UU9WpDdeKpgnkno+kH5BKTaDQi9lMMy2C0WsXMDMI0o6ujG78REVRT5nQMUJaepUrIhU86l9HN43SGBlpOpz68j6XTZnDF9TfTO6OLGYNdRH5C3rXpy+UYWDyDelKhw7YYGfXYvHk7Zr9BR3eR/eO7OGbuIgZnDjKto8jw6DjbKkMcOmsG9+3cQJwJ+KOTP9y9keH6OIEXsGJwPl1hnqP7V+AkDsUwR0n6h+KIZ530ZJJagKVHvOdFL0NzHepWjcSOSZupKg0//ailaL7JtpEqgwMnUi52M9LcT3NsmPOPXcG+RoXd9RHe89Y38MF/+wzPPvt0dTHY1dmDFycUXIehPU2Sqk5fVy/bvHGOWraSwemDvPSks3jeaedz8pFHseKQU+lyQxpxk327dxI0PXbuH2J0vK4ueH/wlQ9RH93Gps3boHcFTcPjsKOX8JwnncPAScezfsNWVl+6mt/86KtUd++nx57B6acey8tffQHv+Oxn2VjbzygN3E6T8Ugu6jRW9M3Cz2JKqcbCYi+vfu6r6O+cwbYt+zh6yVw+9K9v4off+wGNWsT6+zdTNE2On7uU3fVhLjz6CF77lhfwwO4tfO173+bWe7Zw2Y23s3dfhY1bt7FqxVLV0fWRt3+Q3/7ga+wfTViQ62LfSA1nfpG0MhHpe8GpJ7NgxlwST+P42QtI/IyLL/oVZyxYxhHL5+L2lDj+2FOVa8oxYu55aDPfv/M2inrADX+4mmUnn43WYdLYuZn8jD7e+7ZXMHjyoXz/lz/ivvvXcczKw1m3PeaWG24h3mXyq5/8kl9cex3NHQ1+dfNNjOzYxeKVS/jP/7pYCXxf/48P4vseQV5K3mxWzV8Io/fx3R9cRL3hM1rZxY6tOxkszWLAsLj7xhu45g83seGh2znn9S/iE+9/Kx/7wFv4xa67uOaKS9V7atM9P+fIZcfy5pc9n/7eXty4wHU3X8O73vZaBgfynH7YUWzauYNnv/ytPOuZT+K4xUt4ytNO5Nb772XBcpedG8a5++qfMnvJDLZWPN74oVeq5d4/PESVgOHdO9lwzR189os/5Joff51TnvlmLvrNb9kyuleJeBK/laifRArFUScOsVQgHIapIA6SfBUSrIgcIvImEn8VMc+ROGSGIz1rsfxeuuEyRWwVx5CeBioeKNQH08pj2LIgDVvJTyKQSCQxexheocL/aKZOmkmE2MSRjj7pS5MIZyzZTendSzGawURvpBLZhFZqqN458RPqQYihG6qfLmiGKo6bBk083cYWGmkkpFYfO1ciSmS+sllCchWxRxyLQqhIVB2hbqSqG1CEJOkblf2j2/KzkEEmqLGq1k4cZgKvzjLVWSd9mGGkq88zXcTJTMQ+fWLdsUbqe6q7UMAI0m4nTXoimpqhiGQxUSyuNYFoGApikcsJtCQmayY0JY4sjAw9VsJP7Niqe0/BFCzpNzUUFCGVmKopbzFLiamGdNwlKXEsgp2p6hPqvqdAHhKrFfywEFy92CdKXHxxdIrA5SfYjotqZUgcRX4VwVCLUkW/TZsRqRybNCZIpK9OehkD4iwjMDUVAbW0CE1zyESoSyCR9TSk222CuJzp0kJoqzi36dqKyCrx8TQ10LNYia6ZY6pIcxQK2AIVfVXbaYoLU+Yiop7QZkMiAZ0kBkEgBN0ibsnGE25JnCrBzRHnWyyddwbUxGUqvYRNkQ+xXVmvRmjpmLaQZuVcEPtpCHqDgkTYpatOxNBE3MzinJRzIVPHw9FDUj9ECC62k2DkTZqBgRbnqQUxprjUBTThFtR7I45TAvkbapqkQv0NYpzOTuySqwRa6aMUd6C8/7Kah1HqIJG/vU05/hFZ6qvPaCcQB7qN4ZQV8EK6K6tjdbBTXIkdm0XiMMXJGoR+DF51QsTNOTiZp2LOhqzIlfeRprp2E6uEF9oEtVAxdFLLwi6VSYKGcsKGTYOw3iTKlYmtLtKesoqNG819xOKwTJrq3M40k1Im0eyiEkflpoIt5GaJTA/0ql5KM3ax3BS3mCen9q00YSYqGj1B5zk4Do6/ndEu4sn3rZ/bv/9rjvaYZCvyOtkRd6DREiLbI5+PStx92OklLr32PsJ2p1tLdGk5rQ4EIWn/XUtQa4/ktkiF11kvVM9rRalaPYKtMRkY0j7kd/L8yQKf+t1/fka5z1rLFcFNHGciQk0l8LXvn9Zj7bTW9uccCFqh4qUtcq0Ife3LbsVN2/bJIw7NKdx6k4/VZLHrQJ2EB4zQTiGmqbjspDjsYxmThcj22O2BBL721zwiyD0shv5f+7jtscnznizwtWLiMgf12rYIbysSfHD878bfmvjyz7B//94Evr/UIdh63f828vyxv0Ic+ok8Bn/O/B83J98b3vZKtm/foS54XcvkjJWHcOemYcarY9SjgEQK22OY1tVLtVqlt6OD8bDBvBmz2Lx9B3NmzGBvvB9XNwhUcX9EeXoZvRIyPORRzOWoVBrk8g6Npk+HazPQ2UMlCahWGsp1I6X3rnJwWIw0G8wY7GZoV4XZfbNUpEg69boL3dTSJqsOWcTatRvp7O/isEVzueqWBzjmyGVcd92NOHmLvv5eMj+jL1di2/BO5UZYNDiXDUP7iNI6tWFfFZ8bXQbpSMJ5Z5/Mph0baXSYbLllG8867ck8tHUrM7oKrFi0hA1bd7J12x72NsZ4/btfxfGLzubfP/le/nDrap558il05XOs2bKJT376m7zy9S8gDDzlchzM93LoskO49477OfaUU/j5L3/Fz773WT78H5/iqWc+jR/+/NfM6e9g0869HH7IPE47/Fj2jg+rrqXB/pk0Upe6X1Hi5Y41D/Hgni1s3z1KsejywlNP4HOXXk1vfxdjjRqXfusynnT+k+gqukwf7KHSrNOoRCxeMp3Bwkzu2rgWrSHRKpcvf+N7nPfsp/Gcp56CN1plTwJu7BEWc+iVKr+/634Vywqq4tzQMQuZcpA0GgHPPvGpFAsJ9+xYQ2NvSM+c6Rw1c4GKpl196z0TpfqaTUfOJCvm2LppG9WoiemY1LbX6VrcSX7IZMbhC3GThO1bdnDc4sW8/O0fYu2tv2BkJOC2O+7laU8/h59edgnhWMAxxy1j7XW3Y/d0sH9/BS2vi5eKQ1ceygP334fbOZt0dBtnvfhF3HXZVbjlLgamhfzyZ3dRGshzzJJVrFm7nkSim2U446ijuG/tDt720U8zumE17/jEp3jKKWdy4qnHc88dN1B2+7n6hpvoLNp093Rxyhnn8B/f+DwnLzuB57/yjXz2Q+8k1wH79nl4ScSK+Qu5Zd16SkbCJz93MVf84Muc88I38H/e/zI0IVIWbN74pvfhdojoAB9/x+cYnFagUw/R+st840fXsnTWNHaMN8nrIcPjPpdeeg0Xf+HD3PPALp5+1nGsXb2a17/6G3x19We56rrLeMnTL2CsPs6rn/VcfvO7K3n6c17HK979bLY/NERP/xIShBY7AW6Q3jgp/48kYigRTxUnlASn9IsZJFmGKdFZzVROqDCN0BMTzdXQk4xEFD6JgSaWKukXN5VEgFMlkhiql9AsWMSBR5a5CpiRJSKiiFPNQlcUXnmdxNZDRdAW2msm8IiiZFFFTBMx0CKWWKcIbqK3BhmZLVHXhDAxsQQe4gVkmU5mgykORU3cbyhRUaCz8l6XMGYg80gj9ZmW2uKlk7iqTb4Q0miAlXeIPU9BLQQikcl5KztFBEsR2sTBJw4xS5yGGYa4nEV4U8RbEfJk0iaxgBb0GFPchIG4Ii3lTJPEs/QWikgoYlUi8eFYorQSZ7aUG0268pTLUrdJ4kTdeAgiE13URSPElLhvYhB6PmanqyyDlinuadnGAp4cJ+WUCzAlKpzFpI5D2EgoFzWSZkzsWBgCRFD835R8ziX2xQUof0FMQk3ipOK9NLGKFlkjxu50aY40sQWuEUsbo4hdE4RWEfzCmvydEGiGiFYpUb2BLaJj3qJZFyhHih5piswsxz4ImriupUjsTt4hSk1V3eCKr0uzhMehehYFjiHnq9QzpJFEaVOi0FBwIYH1NGsV4tTBKeVIxE2YVDG0ovjXCDVTwUbCROAmGVI8mBkFLAFGkNBMc9hWgOnkaQQ6uWAczXbJJKYd6OilHM2mj6uL+1GAEiHdbkrDl/0qoAiBy2gYQotWUd4As1ykHtQohRq+Lt19sofl71hEaHeqPlg9F0MsAJIJAq6AWCw9U3FvK1ciiZrE0USHXpetsy8WJ6cI5RpGQcOohqqnttEUV2qm9rNZKOILfCQcI9JtNS95vwT1Bj3T+6mMC124qYRHed8Z0uea78D1x6j4BnkrpZqZ9BViEt9W0XLJ3EusXKDKrmugNypEUpNQiyh058mL0zJtKIpx0QwZb2oU5PioGkihYEdoYVMJuiJyh/lOjMgjbDTp6rDwpLezGpDvtGhWdHQ341sXTXRrHRwHxz/7mNyb13LeidDxpxx87a8X4a69J26yc20q0IaIJ3Lh1R6DlfFo7qupoAuTwRGPRoCd6rmt9U213naoSLs7Tr2uDVIxFSX4scy9/XeTXY2t/dZOBX4k0vonHGqt/d6CbRzIGdha1iOv+1868R7NdflEOf4ey2idF/JVzj8R0+Wcn3wutL4eaLtagJpWX+M/w3iiHVF/7fW1zoO/9/GPsh0Hx+Pv8mudG0+4k29oZEjRACVc1UhjNlXHOf7wFarcXfqLDF88DjrjjYaK5Xmmplwka7dsVZ1L28d3k6eoLjBzTo5c6DIQl6mMBhx3xAr6OzuYNWM6Tz7lCJySTa6jEzufJzbguMNWKvJqHGUUBzsodNrMntWlKITlco6XPftp7A58Dl08l6XzZ1K0i2zdtoOVyw7Bygwuv+E20JrU9u4m7xb56Td/RWNPk8ZQnT3DI3zna5cw2DOg+o3qcVVqvpjW2cvh85bTn3bRVcixf++IIgJvunkb3b2zuPGuuxjeV2H13ev5/E9+xk33bWDdzq0ULZsr/+dytc+yRsApq1byu7tW84LXv48Pvetd6vFnnXgae2sVVvQuprvP5aobb6Zvdj9X/P4KXvuql3DbvXeSNspcds3VnHDKceyvZ+SLRW57cBMX/eY3XHPXXfT3D3DNmjv58SXfZfu6Dczt7GXlqsWQdmKEOcJA44b79lDsy1OXovdhn4v+6+Mcs3g+Jy5bzJMPOYGikyOxYcvuEdJmwre+9GM6BqfxlHNP4zkvO4+5s6dTGW1SHY/ptVP2Do0wI0ip7RhTTqjIC1QsjUQnGE5V7DluxPzs+t/yk19cwZb1I+yr1Vl981185ee/4FuXX0F3t6tovgEeDT1lz779ynHkpZmKtrnLOliQ76S8oIu7b7ybBx7cyBGLZ1PVNHY9eC97hmqqi6wSxGzdPkJZM9m3d4Sbf38HA6ecy12bd1HLcpz2ltdQnNHDHXfcyVClRlrdi232c/NPL6dzeg/7xse4+eaNzJg1wLlnH8eLX/8u/uO/v8T02d30Te8lTU20XJ4LXvM0Lrt5NdM7uli78z4++YXPsqtRp3+py7wZs3FKDsNJkx/97vv05no59oXn8qF3v5H9tRFGG7G0t7Fy5TxuWXMnhx96JMPNJl/57Ie5fPUtPFjZRKWSsWTJIk55xnIu+fHF7NrQ5KP/8j4+9JnPcvOGjYSFAb73i1v5/IffyX/95ydZOXs5Z51wJi943mn823tez7SZ0zh6+SBRpHPoqUfywo+dwfJeeNXTnkFH6rBhzQhv+/cPUYstHkjX87SVT8IsiyjlkJnihEsh8dGUE0y0KYNM7GyKgCr2PYmRCmBAVzTNLPJBxXht5TKSIn5h5aaGIEZzcioop50SO6Q7TxdXoAAGVJMdhhB4xQkWphOxfywlJqaZhqeEJOlfMxRhObWkV0369kTkErptRM4K0MVpKKKgxFElLqngHxP9Z0mtgWYbGBJBbgQTjrlMyLaxEgKjIMCyJGJokc8LFkOIvxZ5R6Q5WV9MHJk4eYmiehMOPoGAxLGqGxAHotjhAnFP6RKFjVQsVhyOiedj2YkSeQRgkpEnjUwlmqo5yxxtW/UdpoY8X0TIVMWkPU8ERGUOxMnnFZxCPr2lv0++ZoGn4BpCFxZqrG1Jv5/QTyJiXW6AgCXAoyCk2RAR0SLQo4fn4qk4pilEXzenRMSybUmlIKFtqx67tCTzlm4/EX1D0rRJmCRKJIxScSWKW81EV5ptRuT5uIUcIRGJIRTkHEGmKfBHNN7E1iQSrFFtJNgiWJbzqmcubIZoEokWCInrkkifYeCRy+WIBBJS6JygBVsJVuCR5DsUzMTzEwWVEIiHiH6RJ+dTpKAZEvHVamN4TbE62koMDoMGti1diDkSJc5mtNAwZpqRRr4Sm+XcF/djktkq2p3GLmmlQdqoEqTQaGo0tBxGvoAeRBPilmWRy0eYSZ3xpsSuhZIbqP7BpBHT9G0FsxExTyLElpfSsFzcYoqV78TWZT457KyBUWgQNSK8mnT2CVV44kaW7PMsFLpujcivkwnAItMYbwS4gcBSbBWFFZG7KbHwUi8d3WXyHR1gQ5w2yKUePnkM6dV0Mvx6jGM7VPeNYmk+zaiE1dlNbJnkSiZ5OyRzcjjlEkG+RE72e+zQiCMiw1adiknDp+SG6EFNEbJzYZ0OiSEbLuOjY+iaTdbwlOAoc64GBr4AQcKAosTtHUfVKwi4pK9TR9diOjpEmZfOwYCso5Og6eNYPkVt7PH635eD4+D4ux/tUdoWuEPGYxH4Wq+ZTL2dSgxp71JrF8REYGn/WcSuL26/8pHvp1rO/wV0eFhsm6rLrV3gE8dVS+Br77BTkddJwlPL6SXPFwGn5Xac7BicqiNuqvFoAt9kIbT1fevnVl+giEmtXj3ZR1O63SY9JgJfa5+34CZTzqFt29sBJ3/uONB+aHe+/bUFvnaAxlTuQTm35QJafifnhxyXqXon5feyn1vnwVTLWt576x/1SP4zjL+m4DaVW+uvLSj+owhj/yjb8ZeMv4bL7lWPsRfvrwU8EYHv0ebQ/rs/NYc/99x43ES+xJ8gL3YUCqRByoad+/nlLdfSkAtecfu4mrogT3Xp6xFBoInX8LELFmnRwCzmCO2QxT3z0D2DfH+BoUqdOfNnsb9ax+0vkSuY3HjvfaoXytJ0yhZ0GA73btqIkzekrWuiZ6icI9jv05PkOWPlEVx53c0ElQY7dwwzUC5y9KoF9HUVufWBtYxXGszo7WbenBncec9m7ELEzVf9hO98+4d89/s/4dgF3Tz3wmdz746HuHHdGhaW5jC0qcaiVcvpHCwz3BilUMixdf8+xoaFPqhRjBN65paYM7+fYlcPbqfF8Pg+mpnP8sMWseLow/nu1z7FrevvZ2i0wq/+5xquv+xSLrroe7zlNReqvisp/+/Oedx3x07e+LznceTiBbhZB12dRT77pf+hv2iwf3eNXCVm267djFXGyaWwa2SUo5Yfwacu+i533LAJvdjDz268nuXHPZ3PXPwDHhzZiJ/zePIZx3Dn/rUkUkDvmrjdFtc/cC99s2Zw5V33861rfkljvMmMcpFeTWdNcxNvet2L2b93N1ddfgNL+ubQryds2z9M5/xeaqMNDl24gDE9ZFQcVULzFEUng3JvjrkzZpLPu1z7m+sxUwOty2F0rE5lX01tqwg9lVqV6+67j9/d+4Byhd1//1YV9XM7i1KzruAARiViZ6NCY+sI0zoLdJSLbNqyg9UP3sbbPv9+tm3dzL7hvdy1/h7Wbb2Lmzdt4chzz8Lp6ufeqy+lXHAp2SnX/OzXWLHNuBEzv7uTmpTFN3YSJyPs3z1MOLRPOa5Ga/u5+srVXHvzr/mX17+UTfu3cNrJZ3LP0DpMv87SUj995U4ufMmLsE2Hgd4uguEmv/3Fak593jloOBS0HG899Y30d3cy786Ujvkd1LxE9ZU962Wv4sKXvocvfvVHXHHTr4gTn5WLFzBv2mL+8OX/4dxTT6FSbTC3OqjipYO9JUZGa7zsGc9m/1CDb/3i1xy1fDZf/NaPWH3jTRx3wkJG4z3ceMu9/Pt7v8L9t68jbxfUBfQf7niIj178a2YNHsncGctYv3s904vD7Nmj88IXvJLBzdt51hnn8+qzXkgkxFUBa0jnnm4Qi8CW6ZiWOMRE7EsnHHgilIiDR6Kn4jrTLVLDVJFb05BuNQ0zATueiNdJ557kSvUsIE5THHGlSYebnhDEqerAk9h/JvHWTGKUIiTKqhIMgW9M8HvR0kQJghJFdbJIRV/F1deoidY14SwUUKzEHEW80+III40wbFPdEEhELCk6iiQsGyRwAp1I9cOJ6CcQBXETy+pMIcIKGVZhccXzlSF3F5LQUmKdgAxETEwIHwaVWOgiYIaB0BaUq1Dov7YtMAiJ5aZoUUMJF5l0xEkkMpqIqwqIRAjDIigmtk5g5CYwHYosHCoRLZLoaVycAPJIz6B0/EmEVqKylhBsYyIRUyXKGz4sduUskjDEskxsI1QiriWcjkiIwUJutfCCEJqeEqSiTLrtUtLQJ/IbpNWEQGKgWkgiaqM4zCyLvC2w4gjT7UDoHJmvEWvS66aRpr4S1MTJaYgTV2oE0wTbzWPkiuQFYJE1aIQQ1xvK3SnnmaanytEqXa66N0ZU7JBktxKCHd0nTsU9l4LtooUNQrugulLtTIjDMa4Ix4gbWCcOQyWw+mYZLBFzDax8TsVWxWEYq+5EB8uKCfQCeuKRiGAcCdgiVe7h1BMRysdXzYgeoVbGkr9l4iDUA8wooFn1ZS9jRuJQ9TGClCgrYEmkVuLlTgdRPSS1MkpWA0+Ey5JBrR5NRJOTkFCObzyCKS7ZJCISyrThYummcrLZqh9R4teJ6gQU4rWcd6TOxPvGkq7GCElZ62FAUo2wUxPT7iQZa2CnTRqhxJcl/ivCW4yT+WRGSHM8wSlYmFqAL9tg5Ukzj6AuArCGh0tlxMcLhWgtEI+MYkeOfOZjJD4lq4lXjdG7uwQNoxy9uuugu7YS59PGEHq5m/FKpIA32JqK8LpaiqNcnj5epJPvLlAqCIxHZ2yoqWLykZnDi3V026IYNcmyEr5RpuILvufgODgOjqnEvcc6xMH3pG9sfcTJJw4zEU9aXx8BWZz1fOUma412ga1FlW0n54oY1QKKTB6txw4klrUuZt40+yz1fctdJa9r73GbDBlpp+W2ni9CVEtIEyFS5toukLXPsX1bJ2/nY5nzZGFMRKN26mxrfe1zb33fWres7zl7ev9o3e3R5Xa4SeuxR47Fw9Fc2QfyteUWnGq0C4B/TlT1ka7DAwBF/pLxSG9kexS5zYHXvl45J+WfnB8qrv1w7LldfGx/fuv3j4BWpnAftl77aATig+PPGwdju3+5gHSQrvv4Aiu+8RhddH9NcfXR5tD+u8d7Do9bXPelr3w+e4b3YlsuHUWLShphRxL3ytBd8EToSzVypqn8EnlxeSSh6u6TeI6TtxVxUTr65RLNzTnM6J9L1YhUzMrMAtKap9wjY7VxFs8eZNPWXaqAW+rCpR/JdV1OXbGMu+9bx9lnnMi3f3k55VIvzbDKO88/jk/+9mYOm3EIdzz0ILP7ehhNQuZ29apeqZJms310B0tXLabTj/nJjXewqGcWFb9GOddB3/SQVC9z96YtPPO4kwmciDVrHiTKYkwvR2+hxOodD2BZFgWJEvoJfuLT5xYYTmvM7e/jBWc8haOfeixZuJ9vfv5K1j60Hi02ePLZJ5ErFHnKU1/G977+f7j4Z1dw4flnE2Zw7onH86+f+TTzZwyybtdWBCc6d6CXWhyybe1+yjNzvPuc8/n0b37OjHIHo0FC5DepNgOOPHoBdmxStApKELjt3jVogy5WzmTsgXGWLJ7Gus07mTUwnbGoQW8uz/Ydw8wodzLmN5jWkafqxQyWCowYE2CUWV3zwJSLfagPjylH1FFPOolg3w7u37ATQ9Nx3CI33XUPuq1xyoknsGv9Q5QKJeKGz7++5QXc/eAWvn/pFQxXavTnypQ6XE4+5hh+deVVjAU+WawrWqQpqMeCRNJ0cljs31fDMnQO6Z9B98w+7tuykdgP6Cx1EFcjor6EpJrSbRU4efFiNkYRe3dspphJl1iAnyUcNb+fTfUqSweOZPO+B9m6exfHHXYoex7awoxFh1Ao53nNK17DbdfeQGVsnyKQrllzD4uWHcEFzzqD1dfdw8a9G7n0uus47dhTuf6WO4hzHlmSsWpA/gdYo1QusPbBbXzjW9/ip9/5Nr+7YzWvfMf7uOqLX1QIAE+LKdpdLJsxwLPe9F5e8dJn8K3v/JKbf/dDvn7JJWzeuZdzjjoekxzv+OhHueea3zJt3lxWX38tF/34l8xfWKLDHuDWNes5esVC5vWVmTd7OletXcciq5dr9q6jEfi8+qwzaVT2s2W/wZLuPM9584f4+EdfQs6cwSnnnIDTDFl10tm87V/fzvIjZ/LAPVs4btEirl5zD1VzFkkogo847WLVsSc9WuKWU31z0r2nJUj9nDhypXtPop7i1EmkGE8ELBGrxIan4BzyLhXhLVBCmybuN1mUCElCjpXIqO6jhRJnNAhVLFjEwITMslRXXBpHaIUOkmZFxUCF2SECloq8ihgnApSwgVPpBtSEpiFMXMJYU2JLJM4vifEKuEOEGHGeWZZyBZpZomAF4jvUU3uCdptahBLdVUJWoJyMliHwBLmdIHRd6fiLsF1ZppgbJZYs3Xw+lmmTiINLk+5BIbeaSvQz8zapH6u+t0w3cJwEL3FVPFOckCKypNIlmEZoqQBJUDFczXBwzFg5+qTPNClY5FS0WARN6UwUF55J0JB4c6aWLR19ckxMo4CWyrbnMY0mQSAx7ECJXyLgClQji5vKQZeZEhkNFAhFjw10iU2L6CoAFoH8+AG2a1ELH45Ep0JaFkdjTgn1hAGZrMcVOIL0MpqQR1GKTSEzpymBbpPLRGjMCCSybeg4ouIJsliX11mqR1MgHXIMVYy7IX18hhJFNWG7yvmT2QRhSsHRacaaAmOobZM7BPJO00TAFAEtJpUPU30CyiLinCIEawIiSTGNRLnkdNdACxNC+ZOY6aoDMCYnPlQ0q6iosbIsWyyRMot6itPlqi47kyaWmyfwM2wd/Ez6ASUeHRLI/hQHWxxiSSRXaNDyty6UzsoMzzRwMwcv9ZQAJmKWHfiqvzF28goMooXiSp3oyUzEXSgUE9Ga62OYVg85xyOyupVAbSUBQZiQy1uE4lJNXdU1aGkpcVAh0jrQcqbqgO2wKgRJSZ0neTuj1kywBT4iPZWppgi+etLAzYuDLoSydO8lJI2aAlyFEVi5DEO6/7QycdRUgmOpp5+guh/Jx+uJPvF32skRVmrYOQ1XOvzE0V+JJnorfU8Bccyi3AvIoSWeEq0tV6NWzeMaHqFRpJhr4Ec5kkaVYtnmq1/+54lWHRwHx+M9JkMr2p1qrUhpO/xhMvRBHhdxSESp9ohqa7QEral68KYacoEjF3ct0UbEuRaEoxVTle9b0dX2ebWLiafnP/BHApcsV54voxXZbX0VIqvAPFrLb1/eZHDJYxkHEgPb46KTASVTCaFT7c/WMtujxe3bM9XxebR5PhoQZCrabTsIY3Lc+S+N/LbW2b7syY/LV7kQbh3zydHt9vX9Oefb5Hm2zq2D4+8LevCPOB6vyO7B6O8/ZuT3scZ1HzeR76xnnE5XocRwvUqHVaSRecp9VdAsRmOfjoJLU0rBHRMn0fDEZpNJAb3QDeWC3iBzHCwcTPFMFFzE/GNoGYeuOISRoTEiSyJxNvXxfVQbKf3lPDnLZf2uXWoZZekQc1xqXpO0IBcokYqhLSpPZ2cwQjHpoBpUmLVgDpu3bmV8tMJgR5Gxps/Pf3AZZ593lnK0LZ+3gPHqfvxYY8/eEeVc0XMTV24F02T+4Ap2VtczNOzRVShw7MKl3LTrAURimGn0s6+5H8F99henc+TK6fzmptt4zytfzHd/+Bte/9Y3cvjyU7nwRc9l4ew+Nu3bwrtf8WouvfY6jjjsCPr7Orjhpvup1kaZ2dvJUH2creOj7Nm/j+ZQoMTDU1es4r7qPqqVUXS52E81/PGEXJdBIS1x6NFLWbduA37WYHiooYr+BztLDDVrykm0ZMFs7r53E6Julud2kQ8yzMyhMjzOuaefi93b5Oe//QOdpok7r5N4R50dozWOXLyINdXtqrR9qT6dJ598DPfv3su27ZsUZOPo2QtZs2Ut2/fXJMWp3E+nHHcoq2bN4+LfXU0YJ5x7/HFcd+uNnLrqCObOW8TOZoXrb1rNaUcezc2336miaBtHh0VjUc5Qs9ekQ7eobfEJrIQuN8eo53HkscsY3jPCnj37OfWIleyoRHTYCbZuc/sD61gwaw6p7jO9OI3h/bsItJSwoFOKdE4/ZgnrNu1nv5fQn9NZeshhbFh/h4qNPeOsM/jtpTfg5BPe/qF/49ff/SmnH3M8pSXTedfbP84phx7KXZseYqhapTPLM7hwkJJjcv+OtZj1HFXqdLlljjtqGTff8RCFesqxp5zGzXddie9PEDSPOWoVl/3uVs479gTSLo2nPP11vO+Dr1GU4evuuZPlS+eyd2OVQp/ORZ/+Its23Msr/+1Tyr3ancG7PvJa7rxvI149RPdNbt9yJ4fkOsnlDAqz53PF7Tdy3iEn0zBNilmFF7/947z9NS9i8SGH8JrXvoXv/s93+f2a2zBsjW9+7ntc+PKncv7ZZ/HQQ9upDu/n5c84l69c9Vv2VPsmoobijPMD0dIwTelvk87MiZ6vnFsglDJ8iRCKCCC5UBW7VQqcArXIxbtQN6TTTwQr3XWVU0kEFhHndE2foMRaOWj46vXi8hPhxXJ0UttBi8QnlRBJDFacdioOnKBLJ52Kt4r4Y2JJKX8YqOhnWQvxHAtThBtxAon4KEAGBedIJsLBkgSkgzSqKtFJKL6uK1ABDzNnk9o2eWLqXoRlOUSR2M5iMt3EdE2MOCTULfVVkx1kW2ipCIIZjohJBoQCihB4iK5hpiF+ZqouOydOaKQZOcdVPYIaAYbpECcpjmUSistR9oU4IB3husoylJoojX0TDkdnor8sDgPl7vKFXmvlaTZCCiK0SeZWOgdFYHIMvLRAFtTRJIJpihiaEgYWubLcmJDeNx3L1lVsVtbpmBmedAaK2y9pYJVErDSJkzp5yybKDCXsS8+iJj15MqmajyEuRDRydoyf5VTXnWaK2BjhZSE5cUJqIiYKyEVIEnkllEeJpoRhcbe5hPiRYuuSiGiZ6GQFAyu1yKJAdfwJsEHgK4Y4MJVgl2EI1CkUArCD34yxS0XFaEibdSUoEngKPJJNqJeEfopZcMmCJoarkwmRWGAXWaDIx+JSNV1dCaKpJ9Rl0QtTcFzM+hCRMyHGWqVO6qOy3zPCKFJgDOlzlFiqwFIEmCEP2rKcSGLjIr55pFqRnJURpr6K1TuqS8/EMMQNCFo1xRearOsQBIkiWovkrjtF9GREuWdjP6JYLjLuiyifYFkibGd4Et/N2zSaOgXHJ5R9p6HIu5VmAcONyekC19EVwCQ/rajAQYnYK3WTZsPDMSNMLcUMI8J8HktPiXyNRGL6qbh7i+o8EzhMrmBRG6+RpTamk2K78r7TFSBGYty6ploUqY/XKPXOIPRrENVVdF1oyJpE0SMPN1+kOu4pQrXXCMk7CZpbxMgiIumCSELypTxf/twXH4//fTk4Do5/miGOvcnCULsI1hpTUXPbBbfWzy3ibXt8tt1ldqBuvckU3KmGCI3ivJP1iZvve9FzH3G5PRrNt71/b/KY3JXXemwqAW0qSvHk7Wv/uV2saye4ThYQ2+fZPu/217fmJ87MFhSlJWC29km7GNt6/WQycWs/Ppqr738zDiTkHYice6Dnt0TDdgFXRrvQMVnYm7ws+VlE26nW2+7gmyxgT0VZPjgOjoPj70MQnqrz7h9djP79Ey3ynfessym6Ls0oxg/lYjHGtEzlxkglkuNKqbxkroSNp1Pqdgg9ca1AV1+RekUwCAZ2T0EVzfd2djF3cC47928mkYvyqIRum4pwSdRgfNwniGO6y90cNn+AK+65S8V/+nK9nHjMKm657R6OWLWCsZFhNm55CDfXybFLl3DzAw9g5nysrIu7H3qQYw9dQBiEPLB1H7OLA3hehd6eHsYrNeJcnsgbZv94UxEzj162iD3j46TNmEKpTCOogsSeiBm2m9RGfAaMbrSZHZgNj/mzepjTM51r19zGzn0jPOWEY6mOC7mwSKeZ8KZ3/DsXf+XjHLn4KOqeUGbv5bSjjuWrl/+E977w5cyYO8CL3/4RCnlLxfcc06GSegw4Lrt3NTGnWSRjCVEtoqenwFhU48ili7j7/s0T8UJX44jFy9k1uovITxneOc755z6Z3917syIoTu8v0IhS/CglCSKu+MGVXPi6C6n5o8qhE4zHLFs2nR2+z/imUZAL7LJJXIk57dDDuPHOe7FyOfpLFocfvpgrb7oHI9SpSGG9AAJEvDV0eso5pvX0KofjWU96Evfecx91zVQiyuF9s3lgzzY67RzbR0eo+mPM6urh17fcrFydveUy55/2JH7w81/jF6X4BV544QXoNZ9777lDZBG27NnJcccfxi2r76ZUKlLwUg499EjuuP9e5vR0sXjuIh7YfC+pUWZzcw/zps9iTmc3I7t3YOT6eO6Zq7h6w3b04YBGw+Po009k+9r7mbN8Fru2Vxmvjypn1bW33MOimT2smLNUxSGz2GF6PmblMSv46nd+wsqnLmT9b/dQymkcffwR3Hj7WgKzxvjOKp/7yo94/wdfq8iWswdnMdjdw46hEVZvuJsXnnkuepZy+cYHifbuoTssc8IJh3H2eaewe9N23vSRz/GW97yFu353NQ8Nbed/vnWFes898xln8fVvf4nvfOVixoe2c8+2vTzrzNNZfcddfP0bl/DLq7+GsX6I0YUGw7cNEyUGtbCBli+xqL+P857zMq7/9bf46vVX8fnXvporr1rDqF7ng298CT/4yWVcud1X4JREBCjlrhRxQdxAEiBNlWgnjjnplEujiFQAK7FUMKoSPXRxa4lEk4kpSCQ4TdFRRbCLhCIahUrwENeRAnmQqPiefD7ImuQcVPHXnAPifpN3QSIUV4kWFmkEGVYaEgA5+XyJhMAbK7ecX2uihxGJlVNipuhImiYON1lurIQh8fkZCmqQ4Kd55R4TomcWCP01p8jCcRChS0ZWhAqh9mqJigWL+BWGIlTpYjYTPVO5lSyZR0OADjGpaaBl4mISkSfDMgwsWaZThKAhCh2J3MnQTVUzoOt5tX8sIdtKGlqX0KmImg0ycmS6LflaJXTouk4ovYaGRSbOLnFK23lsPSExTMzQIxUxRLbZcEkCoZcKXVZACmBZAuqIlVBrahZx5Ctoh7BLXcfCT2Kc2CDMxAsZUyyIa1BTxF4rzkjLJdKGR7nDoSnAiyxVPXGpH2FLn6BAQQSUInFX+Srikh1hithrdZEI8MLJkQY1LDtPGjZI1boscrZEtQ0lIsn2BJpG2pR7EhE51yRzpCsvVMdGnH8SNTakF850VK+h7LcwS+mwYrwIXMvBl5iw0N6b4kjM1A0c0gbYRcIwxrEk7hzhyHzNEs36MJr0zIlYGXg4ZZesGZKJyCuSrWyrAF7yJTSFIc5w7AKeH2I7wpiJSHQLLWoSFHPKYSxKoCGuUQGxpNKbmCiCsybUZt/HNJ2Hhd1UueOEDpyFmeolTJqhcDGITQf5M+inuoCWSbWEvOOi6TFhpBGlgYBwiWsRdkFHCyOyfDdJKGdolcTQSVMbQwi3Rgk3rJI6OXzDoRj7eHae5lhTCdauU8XOlfHrDTrdPBVfwxQQDgle5pKnRqAVVWpfYuCWGRPEItJmePWAnGOq927ii0iNcrDqjoVLRrXaUI5Q6b6UaL9VMNElHl0q4/s+/sgIXdMGCNKIYLyJbhfpcCa6/0SM9SOLxCjxPxf/vy19PzgOjr+nsesrxygBpCWoTAZXtL6XOKS4/NpdaVM9r/V9u+AkAtRUv/tTQwQWiZm2hL/JgtlUAAoR/iSC24rGtgTA9te0ntcSFqcS/9oFShntz2mJgq3lt7vYJm/n5PGnnG5TjfbtlriyXLy2trFdOJzsYpzKzdc+5DUtqEpLgDtQdHXyY4/msHssrz/QfFr7ZfJ501qObHtL2HuEFD3p8anm91hHuxu1XRj8Z+5Ee7Txjy6cHBwHx+Nxvj9W9+T/xmX5hIM3Qi2hq6NTXVTO6+lRgp9cTIqDoZwrqx4qcU90duUodwudMVR9UhecdRaBdHL1uJT7ijhyLZQY1Ieb7N65nXzcwZnHnUAQN+jvyKuLqyh2OHbFIbjSUdQc4g/33Me0Yi9lPc+O0d1ccf1NBF7Ab/9wPeu2bkFamTaN7qVv+gyOXbyELTvHCJt1CrrJpq3DNEOXop6no8cizJd59jPPZ0+zxnB1P/VAw7ZN5k/r56Y16zByASNRhVc8/3m8+KnnMB7W2OcGhJlOaqVEHQHmfill91i3fhur797MMctXsbA8g2OOOJ1jly/ltEMWUHKLXPC8cxkdG+c7l/2Yu3dm7K7t5zc3Xc/yubP5+MXf5HMXfRfbMVhUnoYXxOStHNPppipiS4/G0sF55F2XeYcM8MILnsIzznsK96/fxoqFizhxxaGUSgU+9ckvEjYjcrZFV1+BK2+/hXgoVmX655/9LGrjIX2lEkbO4kOf/gD2eJPZnf0UdEvFeff6AV2lAqklF8cGscS5ui2OXbkSxzVZ2T8d1ypRaRhM75lG3naUwKdrmor4CfXx/FPOo5y53L12G7t27GasXqXX0vHGhmkaIY1aQL6rk87OPDv2j+NFmYr+rVo6l1j6pyKbhrisahm9C2az595NjFeF6OsxWmlw6IIFrLl/I089+0n4Iv7mS/h2xrSyyzbdY93OjWwfieleNo9ZnbPYtWUHHT0L+fBnvsHTnnwiP730VvQ9Y5R6+zj7jDO49fc3U890Tjn95azd/hB33rOerbfvZ3pXmXhUY583yvTeEj0lh6ZZYtaKp+IWc6z71WbcIKXeiLjimpuQmjJ/X8K+ps+H3/k2lgwOMrCwm3OfdjRX3n07d92/hl9+53c45SL7hnaz/d717N1ToaL5fP3nl/G5r3ybG+9Yywuecgb3/uFa9lSG8eKUj3zq1fzsB//Bx9/3Xq789aUM9PdR7u3n5BVHcu3d9zN/xhwu+vIXGXpwnHhgNsu6TmLBzHm858Of4mnnnU5U87hnzV1c/YsvcMuDm7n8m7/jkGMuYO3+TWzZuZOLv/Yrxuoxs12PeEzK7YXkKhldAUw8TNSVTw5x4MlXuU0g/XACPpDfRdKxlSkQhPSsiVBnaSIEiG8MQulMk3ikOLQedjnpSYgVekp4MjJfOfU0iVEK/EM67KSjTwKmskIjL1ovJgG+aWOaNn6YEklfl/S+NT3lOBSxT5KV4tozChJLjZWjUBK+AuYQoIBALbTMxNYCwbOS+ZYCZ0TRmHIvmuJ2k04+20A3U0y7iK7bNCMBg4hzrIke+wQNjyxI0HxPzSHQLNI4xHAmYsCWJXCKCE/gI3GkIsRxJD2H4sMTkVNMgOIcS1TvmnI1TeA6RN5XcWJNHIwizihRNSUVqi4eljjJRACNfOQ+imyKGM0EMuEFOlFQF1qH2mMCNMnihFjcU4mP7BL57LJICYxukswlkR63JCN1hPQb4lgGviwzku1wSUslBRFxTIvxuk9UGccPxHkZT0QvdV3u5WAUpbMuVQ5UwwjIuUJlzmNZdRVnFkqy5YirUxyHNlk+h5418MOQMIvIYg3fS4jrvoroCmlZKK55mqqSwLHl5oehnGUpFqbANMwEXfOVkBzKdsj5k8ZEaUYQpKoCoZGI2Kxj5YuYWYildpWHafhoRkSahsoVa6QZlhViRTHBeKDEw1TPKyFU3I5u0VX1CQKYUZZUo6ki1ZkfUY810jCi7ru4zYiCY2Klhoo7x3IDRrMRjTIMfMljk2Z5/KZ0WEbYmYmfyLluKGJwGoujsqDEQdtJ8Rs1bPW+yib+BkYhUSg9lR52vkjNM0kK3aQS03U6yVIPkga6RMBjES6lB9NREWiZg98QZ2WDhheQ1KvkSzZFx0P3Y2JPenM7SILxiZty4rg08pSLIUHqIHZ7EdDjOMRvJESxuHw9Bb/yxMwrjlYXdIHjJCauqVFrSHckxHqeRHfI93ZhZxKB1wgaDRJPI9fdTaMpN+Mscp0lbLvJmG8SxQFNrQdTj8kXVG/AwXFwHByPYfzgG59TjrvJo11oaYld4vZrF/jkexGIWo+1BKZ2YUy+nxyRledNFofk3+QLmxbEYXKn3h+99uF5tjsOW7AF+dcS4ORfu7gm34tIJvNtRTFbHX5T7YsDCWWy79rFwT8SpCZtZ/vj4iybKo47eUzuCZR/sk9aAp84+CaPlpApX6eK68poP2YC/JAxWeBrB1tMRSX+o+1+FIKvAoa0PTbVBWwLONK+/2RerePReo0sp13gaz9ek/u6HrUn8VE6A1tzkP1xIJDJwfH/j4MC3z/vmAqk8kSMv0Y/4cce4zL/1Pl+oOU8VuHuibiZ8LiJfGXHpVKtctiqU9lRGccLUgxFuTTxxbHjOLhCOlRFUYmKjunNlCtvuxkzsRSkQcrhJc50+ikriLSU3u4yRi7hvjs2Ma2jn2GvhivxLtNgf6XBgrnzFbFRomJeMEEvlHCdF3uKKjnY08neoTEWDs5n1axp5K2E2x9ax5GL51NN6tSiCLezwMadm+nvKSgKZRSOMnP2DCI9puELWTEky8mFKxSKLjs3VtEzk3//+hcodxUodRWUC0dSf/35DnXBlTgxM3rKlA2XE446hBvvvpsjjzqKX171U6675TaGmj6XXLWalcuWsWvPOC8+/3yu//0V5O1BhsfHWLN5lEMGDmFR36DaZw/t36+gBLsaQ+xsDPP0Jx1PV97lrg0PYC9wSIm4ds16br3pTlJXZ9HyhXi5hCcfeQLPeNZ5igA5Oubj6jpxEKKXdKIoYXbvAN2DJU5ZejgLemaw7qH7GdFDtu0a4fglR7JltMIhdi+ml6ouxWmDPUigOtgjYoTBe1/8CjwvoGDZTDd1lgz209c3XQlAHT0OvZ05aUjj+S97OfWCTbm8jMGZc8jrLh1d3aoTyzFsli6eQyGfU4XzVq1Bz+yZLJ85i6VzZpMv2ty/fx2feNubmD7YxfCGLdy1ayNyfVcZa1CPAu7askk5QXfetRkrX8CyA7yax/56TI9TYOnKIzhm/jw23XM/hw/28MPv/Za4sYvvXfRpvvSLH/D0s8+mPh6xbPE07l5zN+/6+H/w+je/n//46DvwRxr0TS/gztApd/QpKMr1t97D7i3DfG/1b/nary5R5381i/nIZy/mNm874znpterF1PqZNnc+K2f1stPfRi6axr/9y0dYtuJkutwiL3jmOfzmJ9/h/PNeyWV33slTjz0WLbL45LvewAtecRqnnnQ4i0pNXvXi97BywTKe8trn8vPvXsmLzn8jt9xyFxvX3Mv8uSV2b9vG1r37KZQ1zjnuCNWpNa0A6+9/gN/ffCX33HUjz3j5G3nfR1/FH35zM4sHChx+5In8bvU9VHcN89o3Po8Pv/MtjO5pUKkF/GD1NRx26HyycYHmZGhxU7nzYsn5KViEdJllRBJblfdf7JOJkCPOO1Nou6IE6hixpgAqehwoB2AUSGZSx84yYonrmkLc1SfEJnHo2jaaZRNmOUXbVHHKOMLSpO9P3oMZiWkRC+204aNrFrb0wQkDV7rDNEtFPaWvTbrXRDDRxU0XpcT1mER6xkQYcqWTz8CRgL3AQQQyYgrZVns47imx3rwCE0i3nUSCxY0WheKE80lScZpluPZEN5wu0ducTSauOk1XkXOBQGhmHtPMk0WJEmF0gWgIWjz0lfCo1DgRTwOJO8ucJXqsY0gUWctLKld2l2hziugtomMmpWUSZbYDJVwJdVjEL8fRiHQL4aLEqk/QVi7qvBNh2zaZ3wS/iW2lij4tRYMCnDBtXQmcoZXDimtqbqL8iZAZ+bqkm5VYKY4wOf6pCKG1puqaS62JY2LnHFxLU1FnzQ8JxG1pmFQ9icOK20xsiVIgJ+JwSJwJ/TbBEkBLMyZQHXsG1sPOTsMyHyYvx5hFS/URJgJgwcZMNSqeKMYdaj9IB6Q4AGU7NIk9N2Xf6pg5ET41GpGIz+KUa6h6AomRO1qoYrriXszsPJEsOxZwTF64I+p8l+5JMaR69QmhuuCK/dEkccVRLfK0MUGATifOB6fDRnfyyqFndBWVOzJzbdxiXnUANj0RiA06CzZyJ0tAG5IhFkFVGDb4w2R6ndSyqEl/Y90giBwSXSenhWSWTUMAIFoBzS4op3bZMYkFIJJFNJoNMHOYtTolI8Lw6wRyjqUR9bo4M4WWPXGzptmQ80YnVypgdebp6C1Rr4dkhkNOegzVOW5Q7u7AE1CMF+IlefSiQ5oE5K1UgbZ0y1b09NR16RK4iPx9Dyd6MSMxqMaeEpilmzG2JZYfKDe/JYAPdKysQc718UZrCuojpG1DIrnSSxmGytEfBAJxSnG7uhjojDAtl1y0g9hK8aQQ8OA4OA6ORx3iyBOBryWitcQMEe3ahY0WPENEqT8Smh5+jggx7ZCKduGn1W3X7s5qOefah8yh3YXVEvxawI72108FxJjstGuHTrRGS6xsvaZdHGoJZq3lT3bitRxhLXpva7QEttayWkCQqUZrv7W278uVzz8ml1l7BLp93S3RskXkbY2ptm+qSHH7utu/bxdTW3CKqYZyz7XFkeV5EmltHY8WwEN+nhyTbT8HHiHlnvX8P9p/LZFS3JYtSu5Uc3jExfgoc32sQ9bZDh5p7cfWNh0EH/z9i0MHxz+GwPt4C2Efm8I992jn6KN9Fvw15vY3K/KJCGRoGru33Iqja8zsKqkLHnHFiMtE7tITm/jhw44KT4i6LitmLaa32Emf20d/UmJWeYBN6/epi8T1O/Yx4vnsqA4xFI1RrfgkZqhcgrv2VxgfrauYaU+hW5WK795fIbTEUZMxOG8We4eHOfqQWSw7ZB6HH3K4uoj51Pvew9ELF1CSrq0umyMWrOLQeQvZW6kyOqwx4OT4ya9+weEzltBrd/Cjr/+Co3oX4IcGL3/mOUS2OB98fC2m0TR4xhGnsnxwJv1GgdF6nWY1Yu/oONOLMzDKGr+8/jo+8fp/pSufcPqqoykXSjzzRa/F6I1ZOWuQY484hA9+7SJCPWLF4mnMmT2Tmf29BJWQ+7Y1lONh+eLZlLpcym6OgmXw499eDz05JDBFJcCrp2zf+RC95Q4KRo5KdZzjlx/KrNnzOOmkZeTLOoWCyWgWYndJ8b84pDTe9x//yehQjT3D4ywYHFBxsUbdw088bnjwTsJqyC27NrHxoT0cMn+QLRv3KPFTjuuvblzNB756EWuCndy5ZTM/umk1v/nDHdy/a90EKXfYZ7TmE2cpX/r0RxndP4xj7+E/L7qIB/fvYKhW5cRlq9i4cxe333YnI/Vh1m3cSL5UYPX1f2Dthm38+Nqb+dArXsGGbXv5yDe+hFW0yHfnEbvSz264nrkDh5DqiepxXNHbw4bmXo5fvpgwdZjTUcDQE9zMYmd9nDir8n8+9wNu3bybL372Q9yxcwdX33Y3p85ewr2jHuOOwx9W34FZyHHVT3/IRV/8BB29PXR1F4hqKYadJ9/h8pyXvITjDlnC3MVziVwRBFI+9aF3suvB7ep9MLqvSk+cp+hWmb1iHr0DefYMhXzjvy9h3a4dfPBD/wY0ycyUr//stxy+YhFPfea5fPj1ryYi5bsXfYgrrr2Z6sYKN1+/gR+u3cMFb3wWHT1FLv/er/nZ97/Af3/hP+nrKtFMYqrDMfdt2sb+vRX21VK2bhhl19Ae1u3YTH1A5zWfeCPr1j7Aq15/Ib2py8y5g1x+2z2ccvrRzF+wTMWbX3Hkk3j7q5/PsrkLaQR13vz0C/nyJT+nEo1y6OGDqoNPlx5+cZwJ4EGcZpqJYdmq000uzsWqF4kqlaWqry5O4gkyr7jGrBxRLGK8LVV0xCISBjGZCM5hoEiagrMVkUBEKlOBIzI0U3nwVEzUEpFI4nyeCOoKtYovBNJInFQJbs7GskV0iUiElCsCmPTbaeLsEsNVgl8Xl6A4gaU7TyNOROzLFEQjVQKbUEQkPWvgZEL5zZGGCXoknZVC9pA4Kcq9ZzgOfuCKR1G51+IkwyYhCWIiDDQRDAmI5UZCwUKXksk4wjEC5eyTjK/ckoi1nOpIEyefkJUNU8O0BU2UYoqIkoZKWJNlCoxG1yMVfQ5Dh2LRVtsWxxFeLVBOv9ATESolMTNiifWaGkkYKyiHWZB2QYtICB/itmyJoSKkqrivi1HKgZ8oKIKdKxJqcqNGI7U70TIR+kSMtbA78wpAItHc2Fc2RBBQjgCLTZPY0ulwBHoiqWQDy7BINZdUBFMRZIvi3gyIDZ1cZok5kyiU6LWhQEu6AEskAhwIe0cca6aqY0jEoSl9n5FHkErBg3QkJiCvDTKMgk0qj8v5Ech5YSLtsNIHKOAImYdErBOJl4fmBFgitQkDuanTRDMTvGZAFonImGBKVULOwfdTJSBrIhoa4sL0yGTucq44ObxaQr0SKthQUKmj6wmGF2Jo4iq1KDohWdggEPdnLOdKrHoRhRpN5mJ1dlOQKG8q0CkDw7UwLAvHFOKwhueNY3VMV8RbifA6bsq4aFyahmVb9HYLkCbGLnaoYy5uXcvIEaemAhsV7Sa2a2CJeCZimpWSSQxcRNNxj1xXEcuU+LBLIYvQ3BJBapMXC66Z4hYFhiLdjw3Gaw3CROLZAXpeBHmfihdjpgnFvNzMKeGWc1idJTDdCbiLvH1yE3184tA0OnvEh6hqPbSukrrpZFkZWXOExLYp2YmKuWumfHY4NHYOMV6T90VE6naTc3MUc4/X/70cHAfHP67AN5lY2nK3ietuckz1EZfXw8JO619LYBEhRGKrreW0/snj4qRrp8C2OvcmO6mkV69daGoJb635tA+Zp6xvqm69A8VgW27CycKaLKc12gXDycto0W1bwk9LYGsfAgQRIbAltLWLkPKaR/bDf37mEfG03fk4eZ+0hK6Wy63ldGv93NoXLSGqdQxb29l6/eRlty5C5Wtr3S1xa6p996dIuUqAnPScP3Xx/4iQ2ibMyf5rzeuPROG258g8JwuJU811Kpdk+/NFkGyNdldju+u0nYA8lXB8cPzl46D77/8dVfbvXdCdLHpNJYK19tdj3W8fmEKYe7Rz9M8R8v63x+6v4ex73Dr5Xv7SC8mJE0+H4WoDR5wcjapIexi20DJ9ZdaJA/kffKEwaliuy6z+XvY2aurCWi445KLGlIubnBRdTThmgoa4O+RKOqOzp4s48NRFn5cGeGmT+niTQVvIfolysPQvWMzujWvI6wbFcgG/HpCXmFxOOpkarFi0mPG0ydW33kjiJcztG6AgTpzOXoKRvXiVunKj7UxCkiCkI5/jcyd9ln+76u14dsb8vplUxn22J/tVqXpYD0jk4rcw4boxI4Mzlh3D3t1jnH3qUh7c1eAP117DjEVzeWj9Rs4442juuPlBejsGGKqOUDVrNEc9MtnGEHoGXLJhjVHf5zlPP5Pq/mG2132Gdm7l1HNOp7JrNw9u3qwgAtONfo5+ylFc/evrmTGjwOato4xkdVInoTOX58wlp7HuwftVF13cjKlFITlbCunFHSWNaQblzgJPWXkYnpFw2a23E3khHR1Se58xY6DMhk1DqiBfFcn7GVqHQVeWZ3y8RiKxPOlik2v8gk48LFeeOlqSUNBckKJ+L2bxjC52jzTp65rGSGUX0/tmYeR0Tlp1GOt3bVLOxDXrtikXWNl2WL1pE7afcsYpJzG91MUlV1/FmOepC1g7p7Nk9lw2b9/HykWD3L9tmEazwpOWLmN/o8m8pYfRnflUooC7N28k7xq87Jkv5v6bbub+kW2suXctxUKRn3z/UnXu/ss7XseS3j5qqa9ijPXxGFeXqCGMayEz+qexfN4s7tiyky5b47znnchvf3w3Zz5pBdf94TZe9qaPQrab0U3b6F54/CPviatuuJgzT342V/30x0rg2j08yjGHDeKNj/Ceb/4E3TN5+skncsOGO7jwSecR7NnBc97+MYbvvpKv/OJS1m/dxLFLljI0Mkw1zVgwbSa3PbCGZYsWMh4GHLVkMc3hUU459zi+/pXfsGXnFvoHZ2A2msxYvII5XXO54KQX8t7vvYVZg53M65qlRL17193Kb25Yw8suuIDnv+gN7OAervvY1VTSnVy9/gFedN5zyBqjXHLdzdgDBk1vloqRihBFrJFEMYKBiOSiXEQSFciVOKrQTAWyITk9pXwhedlMwA+pp/q3lHgXm0oMsaxYRckzM4eeeMqlp3KmUnIXeRimrcQcoffGErEVp5i4rnQHXd4opqUcP+LgMhIRoBRnW1FMpQrAFCBBamFqGpHno1mZiok2vaZynkn7mSXRYdcgqokoKUKSAAcMRSNVsWHB8iYxcZaHtI5uulh4CmAgn1ni5pKOQjMn6qCGLbCRNCFLhEwrkV0hxGaYmvTxBdRCETNE9MioKzfhxGdcLAKSNUGxFZJvlhVw0pqKnMa6uJdNJWCKi1jXA3XDQo88VB2cgFFs++GoqglejWasq5itIRRzET2jpqSRFeXXtnUlWolEJr2p0kmq5+Xg2mRNT4kvhu0Thwa2LqKlwFNsTC9DbIqawhoLbENcmBJ99VWfYGBoWF6sIChJUiNnFuS+DokIZHK3wm9iWQmxUUazLYzEo+HFFCQeLQ4+2ySIRTSto8fSMyfiXUxsd2LpgSwIQ0up+xOxz9CQzjlx/+nqGFpZTCjOS13cfSIcm2ReEy9LFYjCqzVxiiVizcBG4sYBzUDEREuJZ04upz4jKeSJ6h75go5pu3hV+VyIcAq6EqYjrajcsmkUqK5BiRKngpA3EgpWQqK7BI0J+IiRyvvExIoSkiRQbs2s4GJIn6vQgsVd6BQIx6QDtkBOYt2pnL+WissGRoaVaSSZLK8bX8jSTlGaMXHEcSmCuZHRSCRyHmFJZFvLqbi87ug0xjMKHTpBTShWmYDR0bsLBBKZFViOrikoi6E5uIZPKOATKyMJxEkYUyrlqIUWbsFBr+wis3LKNSowmEB1Nuo4IjwbAgrJY8ayXYkSIj2thKsHeOTQvCEFhlGCfzMh32ErJ60I+BLfzcvHhuWiNeuYMvdCCa8yjt3dI4B1QtMhGt1DvtSLV6vgx6bqdPzOVz/3ePzvy8FxcPzDknOnGpNptZPhBe2j1ZHXDplofd/eVyejFZltH5Npte39aS0yb2tMhnxMXkb7/KYSqdrn3j7vqSAikym8U/X1HYgW3P74VI+1j6mAG1N117X37LVv/2QRazL590Dx4pbQ1S5mHYj82z4m99M9lo69A3XzyXjhq976iJO0NYfVH73skc5HcfW1x4anouy2XnegeT+WTr5HW/ZUPZPidP1HFKj+t716f++9fH/v8/9bH39r+/djjxOl+G9tPOGdfE7RZLReY8/oqOrNqUd1Cq7YOuTiS+J9Jk7exemSqI6NnbcwHY09wyPoSSbXBTiWjmEVsO28uijssjvU950l6V6SJK9FvmSoLiatYKleJYn0uSWbB/buYH1zNxsbO/jDtZcyEg1x/8gW9m3fzQXPfDI37L2Xe3euY832rXz/8su44pobaHoRplPgob17WDc+xOYN66lUxllyxBLSDpdgpE4h5xKEPh9Z9wk6JD5r2ty5ZyPHHLaMaU6Pcp3kIkdFfSU6l4yJsymlOj5CZ3eB//75rxkbHuWII45jbGgPl3z1Y9x1yzr6Ox3W7l5PXssIk4SsoFNGooQapyxZwRHHrGLmvD5+8furuXXtWvygwtOXLICdDW5ac5/qNnvuqWeyo7GbS355Kdur+9mxbz+zB6bzoiedQjgUsv2eYSrxXrZ5EdVqgOU6FJICuWwifigCRaTFNJOASx+4i19cfxN62cDqdghcTV2I25bJwKxOCFK6uouKFpkMS3+SiCoiqKSqp2/awtnE44mKnknJukAWMgfyhkYkMIRimc7eIrmCzsD0eewd3cLOPbv575/8hDS2ufHW+3n6mWfSn8uzbetOtCTlxGXzueb2u/j1HTfysx/+lqUr5qoI47KFK6hUqswdmMe6TUP4YQU7sbh/704a1Qbb161V8e8b7rid0T3DdDQ1vveTi7nm/nUcdvih/OcXv8KnX/1GPvmBd/HOd7ycDkNj3kAPRaODsfGIsUqVEa1Bqut8+tPfoGRm3L1jK0Nb91Fw8lx33T08uHUDRtzNkYcexlc/8X7lRKuOxFzz02/zuc++m69+/mPMibr4r09+iPGgykBvie7uAu/+72/ygS/9ghmFLuYu7GP+0adxwWnnsmTxPHYWRW8f5+Pf+inbtu9g8ey5KqI5e8ERfO6z3+bNL3gTTzvtLM4488mctuhYtNCUKn3uvWUjR508jQV9c+nNAsqD02D3XjJrD5+4+M04ns+cGTO59vIb6R8ocse6XTz5uFM5fNUi3v++N/Gf7/k8L/rAa+leuIxXP+MlPLRxI255BtMHehmrNhV1VuKy8lWOuSWivS5CVqpidiLzSTGXRPMNiTkKiTozySxd0LLoEhUV/KgS8DUyQ1roYkI/Vi42Ek915FlppJxsIu5IHFyEcznPxcnmWpkSMeJsomNNTMJGKN5Hg0SEJekAjALSzFA9frlMI2pKV5qs21eUThHrMgFXSFRVxA0tRyxk2rqPaRnkDH8CEGKII1A6x3TRRUhTR0ESBMRgSBQyl1NAmVRcSCJWOhmmK1ACiSGLZzlTDlxxGwqAQYSoNEvwY3l9jqQRESY6tkR0NYtCTsfUA0UhtbSMoKmrDs5EXHTiXLNFQkV1HmpCNhVQSWKSWg5a0SURB5hENyPh0KYKNpIvChQkJWo20WKBQNhK3JP9INslrkOJIieahyViVizCTDQRZzZjUhFRpL5AfLKu9BkGpHqE5ktHoU0sEAXxMQqoJMmrLkY99BQNVkALplkkFbEztbBM2dcpsQA2BAISB8SNBr7uYOd1mqmp4BpBpGMLTcITcnKoouBCYtY1Dz2U45gnygoTwAapbciVMe0J4ShJLbw0R5hIEHRCWI59D6ckjHdNpYUNbeLGUUn3SFOdWtXC0iwMM1XiaeBJNFRH83xyVkxUD2hUq4oCb1jSeSeQFRtDMyeck6aFYycKYGHKOWboynEpxNxEwEOxQaalaE2BoYjrVGjSIVYSoPyoEunNbLIkwu4uKTel7o+SpQGZ6v+TtLMAN5qYmkParKJZDrpeVedjIrRqEb5JcampWgbFtDels9FX/ZamG6uePN3SVTw6MGySekSh7BDENoWkiq2JXzYglH5Fu0QcWZhFh1wxTxQ0yRt1qI/iaWXVyVdv6gpUIyqhFvvKTS836IyoQSxCsWHi60UcLVHgFqE8u519KmZczuvYeVeBRDyJc4u463Zi2bbq0kytHKHZoYRYp7NX/X9BrSrHv4HbNUjFF4CKRanTVc7Tg+PgODj+7yGdeq3RcibJhY78a4k/k+Owk8ETk51QrX651vfyHBFrZDnSVydiXbtbrrW8lqAiYk670CdjckdgyzXYmltrXq3lTtUJ+EcOuYfnJd17IujItk4F0WgNcdm1u+Va62l197Ve92hCnohBUxF7D/R963i03Gzt294aMo/WdrV3DLY7ztqjuv9XLPrKHyn34WSibquz8NGGCHwi9E0V631krpPcoVP9vj1WK0KfzEmALnLOtM5PmYv87pF5P/z8yT2Okx+b/DvZP+1zbo3WY+3750DbL6LwI8s96/m8oeNf+Ecc/1sB5m9JwPlnnP8/4/7938RYP/APKPD9OeNxE/mm9XYrV0jezlG0c6oQXbM0XMMi7+To6CywbN4hSEtbKeeqeJG4yGYMdDOns4fDB6exYmAWR8yaTl6q5m2HhggGoYtdKDFrVi+FXIFqTZ8o5a9GOGWdrNpEG2nQ219CtyymzxzAHbRpygVO0WBrscLXf/hzOnIuSU4TpYKXPOtpxK5cnEpqrYnpmuiBOPq6lPPk8itWs7M+SqFYpsspUdYcdm3dwYb9D5J0GJQsl9u2bmDLvm1k4ymhEUwAAbxMgQmi0YTr71/HdWvuYXphOqXpDsc/9Tn0FgaojdcZbXp09c7EyVwqQUYsTptQo6misAZrNm3i2tW3kdQCTl9xFOXuHFFW57frt7GlvounnHA8Q6M1vn/V5Szqm0YSpjzrpBP4ytv+g62NHXzp65eqzih7wObau9aQeiPolsHZR6yiYXqMxAHdXWXsDqFiCiU2IfB9Rcq0bYN0b6IuapNqiB1ZVPY31D7av7tKrlxUIka17rNqcIaCL4hOM/rgbhUDlp2aenLcTQ6bv5hCyeLY+Qs4at5i4lpIZXgvXWmA37TpLdnM6urlhmsv4+XPfAZ33XkLW0frzBroVaLS2v1V5nXm6dUtXvfWl6jldxXKTC93smOsSqHcyytPWMns3lmEeIxU6mwZG2ZvMMSXfvcbXExOXHwoF1xwDuW0yHkXnMW9N93N3Zf8gqu33MXo/p24qUE1bvD7DWu4+767yDs2M+bNYO6M2UrAeeMbX8b6fVVKicv5px7Bomk2l1x5LeeedSxhvcF///hHvODCc1QENy1lChby1n/9N0p9LiXD421veAdHLz+MD37hW1xx/c28+ZnPYMmSaRS6C5xzooBCNvCcF72B7/7kN9x72zr+z/veRdSoYZQ6mLHoUJYsXcXylS5ve9MbeOu/f5wfX/Vr7nnwPm7aeDN9swbo7Chi6gbZWA8nHLuKlz7n2eS0HBvD7Vx3413sHN3G2r170CKDadN7+PzFl7Bs1UIueNOL+NAXPkf/9DKf+z8X86EPvYtLrv813/ndD7j29jv51q9/xNzeGfhjEa6RTohdmYhRujpfVUWa9KiJ+CHSUvoweTfVVQw2y0IVCc+kZ8/UCcUZKTTeSFdADV0cTILNlnysoZMkuqRxlUhsJAGWxLBVqjWnhKkwSggNW1i9ilCrxCzTxtKlP06EjgzDdDBTHyMTIquFJu950yUSN59EU2XuUoWXRKonL6Op4rCWiCKppzoiRSuMwwxD17DKAvoRfVIj8ELV1yfytV/XVOTVzEzV9yZ0XHRXrUMTJ5mtE8ciCjWIhaCbCiVXU710mkQcXQc9iVTfnaX71AKJJzsqhqpZOvlyTLkszkhIHSGQSjQyxLBypLHIKKly86WRgRHFKqac1MdEv1K/17NEkW4doRILsVf2TRqSCHQhizGiCYFehHSJ1qdBgtQliuNa3vcS47UdydlaaELgDcWFZhDIMRadTHUsxlKtqmKuhvTVGS5pKGCOGD2XU+uMsolYrHI6Fl10IXYnzoSrL/MwogTDFxFVw0xjcraBH8t65fg6alskYitc2Eh9zoSKxi7KrwB9suY4qYiSjolJAyvzcaXvLtbJpKvRcYmEjiwuVMOiKH8vkox6U2LkOoVuIcMa+J6DkxOBNcU2BIIhc5K/XyamCLW2rkRkmZo43VIR6lwTTc8TCv3YbuInOq5ExRvyJyavqLyh18CLJ+AydqGgADNG3lGOPuUSdC10W841k2ZNyLcasVVCdnKqOikTzFyPiquK4y1ftpUjNvQltp2o948KiacpUeZiG/I+dAlDudNiE/gOqQ+BJ/fahMKcqfNNN2L8oTHcdAy90IPjFJRDLynkSMTuKS7NpqecueIOFeHN7curaHQWieAYYbriCpSIrjgRLVwzo1YNkft6EpWWc9mX3sNUnJBNMr+u3gf1WgyeRypCrRxRcQXnM+qZiSs9rV4DK67gSsefFhP4Eh3OK4J8o1pTQmh1TEAiMWZNoEAHx8FxcEw1poocysWSCFuTRanJrrF2cIWIRfK4CGYiyrWLYid88Fz1tbW8Vsx1MljhsY7WslvutNY8Wm6/FmCiJRa2RMGWu7B1QScR4JbQ1d6919q2yW69yeuR17fDOSYLhe1CUXuUd7IL8ZEIbdv62/e92k9tIllLlJL9PLmbbyo3XnuMul30PBAIpH0/t4tik92Cf+Tke5ho23rdgcS8dnhH++9bY+as//9CvUVwblGcpxqTQSCPBi+R5bXm3D7H1vFU58ck1+Tk/SFiZnvsut1h+s8y/tK45d9zxPSJ2t5/9G7Cv2aP5d+aUPexv+K2/s2KfJv37KGUt+nv7cZyTBxH7Fw6XaUSVs4iZ7h4YQiWS94pUalMRMv6+wYYEmqfbisYhxD5RDw4fM48uq0iUrsj7VaWW6Kr26WzaJOXrp9SjqEt44xUmlSjGH9PgBml7F27W3WbRQVx1WRkwxk7jFF8V8iKUtSu8/1rL8MxNA7r7mVWqYvucq+K/24e2sv0WTNVH1VfkEN3UobHRxmvBPT2FknSjKEtQ8zq6ObB7Q8RJQnxXI1kukZaT3FMR10kS1G7CJzi2nj2i47l0utXY21dzaylPTzv3f9Oh+1y0wN3Uw89hpujWFJSjoZddtCchM27x1k0ewb7KnUaccL+kSpD2+ssnDWNh7ZuYSiIiJKUlUcsZPnMfhVZ3rVjhH/9z/dRjG2OOX4lfYWSiusNOgM0JY4XZ1xy8y3kTBvNSxhtNCZEAXE8BTF+XYAoGvG4r/r/ot0ev/nWl7lz81aa9YCgId1XGV61qvrZRFB9oL6ffN7A0SairbooJJpBwTWYNWuQ9Tt3snN7lT1ByI+v+T1pISfITTbs3Ud/zqFayRhcsogzzjmXn/7hcu58aA99/TPZO9wkCVJKpRL1WkSSd1VZvyuxTBcuveFGJeTcv2Y137/9PvJOnpnTZ9JLRjmDmbkuViycQ0dHjip1tu4apm96ntsvu5Zi2WaXV6e+L6avqxO/kDG9NJ2a36TQV2JnrUmlXmHz9t08tG+36pcqNxpsqO3gm7+/lIv/cDO9nUWOPWQhfTNdjpq9EC0pIgVZN115PX3dc6hs3sg1N9zAS7/8Dc698OXMPfxkPv3ON3PErHn4gcMhc4/npac9n2de8Cq2btrHl773Ee7fvZF5hw4q+uoYPkUzwx/ay4+uvpyLf3gjJx2zmCNPX8zrXvAiNjywjf3VCvNsh+5igZl9PTz7Fc9n9bo1fOXXv6YZDXP4wlPZ0xzi9R99F6eechr33XoTm8aGcXWboT3DvOetb+VH//UNfnPjH/jUv7+Xj3zkK3gVjzOPPJpzzzqJf3vtm/ndg7cIepU02KLOE/kvU8KdAbapzHkCmpD4qRT1i7NWRCqNRDniRCDSGtIhpyuXXqwL3CDBFmeXiHS6xLxNTHEAiqBnWaSBCDkmqZYQexLRlG6+gooQatKIZ2vYpo7hOqSaTyyEX1NcYMbD/YA2EdL9pcrqVPeZLCMUSINhERgWmikW0zyWXQS9RGZMAAQiAV6ECbgiSCZongBmNBKJyVqZEs9EhRQQh7iRMkeiqpLP14lrNVJNXFwigE4AJ8QJq0Q0w1IwDT1pKIecuBlF6FPindB9xbWna/hxpKi54shLQ1kfJNUGgR9ja5ki1cqCNdtRDifSgFgBMqS7TOL1EZo4+iSOmmgE0q0nrrJMI374M6mZSNebg+3mMYUGnuiCPcYWdSYWV6REYjN8LyUVMIiIfnZOxXIdAZcYJrFtkOvrUNzf1Cmii/AV1nFzqXLQZUldOczEPAkBpi0QkEidJ64m3XYZVrET3fRAyKt6iCWOPLXN0jEnsApTEcAdOyIRtdMwiYzChHjnaqqXURMBTtoBfG/C9ejmMSTznPqqZ1Bi5XKOyXq1JKDRTCeEY91QnXZxxcMLfAp5AYkY6NKtJ5qtRHfLmiIbCzSkYIfkXFcd+wmBWY6FwFoCtCgkFjCRralzXgQ0AZVEmoNZtCm4Nk7OIBwVGImu4tVplmN8PELzmsr2HCUBpXJ+QvgT16Llqt48cVUazTEyK6/E1WZkke/Mk+WKZEJBFmyt7090XWYJduLjWjG2CNpxiq2H2EWdXGdOxeBt5X63laAnYKs0V6LW8GlIcaKIzomGm9YwkbgwaA1PkazjahV/LMTNCf04UDAOPfAJxKEvkXqrgJ4k5Pp6qO2vqfc94t7W5b0+MScRLEUUlk7IYtnEzZVwjVD1DQbjTRBxL6sRWh34GFRrMZn8/4LE3NOQUIR5TUjacgMQxoeb0NnzeP3vy8FxcPxDDHFItVxSIvxMJWbImCwgtUcV2x8XwaMliomYNZVYNjniOtX6ZLSca+3uwfa471TLavXbtbv/Hq07rXXx1S7sTd4P7Z157c689sdarsP20S7OtYizByLethyEre2cfJHa3nXYLj5NBle0OxTbnZftjsz2Ofwpca81Wo7M1jpa+7N9na0h6xEB7LH21MnzxJ0nAt6BRvvv2vfzH9GaJ8V/p6I0TzWmijxPnp+49iaDXFr7To59SwBtJzn/M4y/1IUlMJ1/pvGXbO+f2rd/7yLgEy3EHUhoeyIEuA/8jYmOT4jIN2fmXPLlDuX4cl0XW4Q+02Hca+DYRVXOP1oZIW9b1PwGs/oHVCdftdbAyeUVcbbm+YzUqupief3mvWRysT3QRSFfRqrn7XKvivcENYlbJQShh5FqBCMR5WkFdZE8vb9T9eRltVSJDmmvRnN7k9q2JsFQyLSSwcx8B8unzaZRlgv7jAE9ZWFPN4PTu3ngwYd47rnHsbdSUXHhnq4O+mb2Usx1cfphx5PYcMeazUR+hGuZRHvFOSPihVxUi4tFLigzCMS1lPHgFZuQzn3PdpRrrLezwCHzeyn3FJneLS5Fi7KT48qfXoM3EiixsCPfwbaRKivnzWPNxnvo6Oig2FFkzK9xzKqjuOn22xjs7eGh+4f57q23MaM0g0bcRO/pVhe0JelH83RefPIZHLt8iToWKw+ZS+inzCx04HZJoX/KYLFXCTdSnt9hmuS6pCfJpRPp0Us552WvVhdVdqcNboZTdrDLtnIrCvnQzekYeZdAD6jsf7iI3rYoGWUaIyPUvVG6OgVe4aheuy+859/QrYRZ02aytTLCjto+br7pJraOD5M0I4rFlO3bNvCUE49m8Zx5ZGmVY844jxkCv2iOsnnHbvYPjSry5smrDiMpGewZr3Dv5gepxw1GRYTqcrlt0yY+/+mLify86l27+74HYNQjLbk4hQHu3bFWxXEriU7QNBhvjLKos5eOUj+GHisxMcxC3viSs9kyvhWrs8j0XDfvftEbecaJ51CrxNy9ZYz1G3Zy1gVP5r4929i5ZVhFpp/zwTfw7Nf8K0EY8szDj+CMk1bxvJc9Cze2OPHMo6kmo+RzdVbfdz3vfNfrcWgwunE/n/vA+wk2jmPbLucdehKDnWU279/GjpFhtu3eyY+u/x1X/+r3PLhlLcfOn8Oe7XtZs2crYZbn6ut/z4f/9S00GlWOn7uCD3/sIpYs7uSE447mJ5/6NmtuuoktwzFPe9KhrDikn2Nnz+JpTz6FH9z4dc484wzm9Bb51/e+ljPPPYvdQYPr77iD//nRj5mn9XLEIfPoyHUyfyBSdFCBcJgSQRW9KUjQVMwzwBZxRFFnJ4Q/Q+K7sU2aszHFuSXQDFGHRXaTSjcRxBKdRH5IxZgjQoMY5cTBBbFEUZUTLSGVPk/dVmKUCHYixBiJRGolBmoQRRqOrZOYQrYNsMS+JCHGLCMSgc5MMbOA2PeVe1iiqpIKFS+foYXKjac60MQdlNfQfIk4mqRyk4BM0VrlPS49fAJ+MLSY2IuJI3EAxsQiRrguYRKgGS6B9LdZEam4kIxY9fWJSyxICgrsIMKeSJZie5KbArJbBExgy7qEHJzqyBYERl45Fgt5izg2aDQF+OESJcbEdokomooTzFIuKVO6A5spSeARSN+gbWK7OeVsk65ScRFmUTDhPsxCAiVIRliuEHYjkriJprv4Ip5JhFi61DIRzHw0WY+kK4WEK913UnVgJFgSkY4bWHYO3zfxG03SdALekYrTUhxkWaYivAJSCAUyYsnx0BQ0hQgc2TeNSEFFciYEuo7rxGiybxNbCcOZYxM2aopam8RCirWVS1LTArXPstgi9H2a1ZgQl0JJ4rAGfjMmyjQC6ZorFCGUSGk2IcjldfKdDlHqqoisfGw7ro1ZsKmPh4SBuAINmoFOczxQx0nEM6G0N0LpHQ0V3KVcTBUJN2hO0JAnugprxHFOOSRFaMQOlJAr3YBy7KXGQKizSRSqqLq4AqNA+gRzStiUz2U5R800xMwauPLP0UiklzQO8OIUCx8x/vnNQDn9hFYtHstcriDYFiWkG80Aw2hQ8z3qwUSdgmFGmLmcEnnFMSc3rzIB5QQBuiNCd4Qnf+gsi0bdRzx3En2uV6tkehHLztTxt9wuOXgKFhKJ4BfUlABbi3ScvJw7hnIX6k6RRJMGvoISpsMkJq2NkRg5LIGPFPOYpX6SZopjG8oFaYlrUDPVTbmmRNt7esnnItUXKwJ/oVPcfeOP1/++HBwHx9/9aDmi2um4LUFL/snFT0tcaglk8tz2HrLJYlq7o0++l4ubAwlkUwl9Sjxpi1S2u/NaQx5rQTtac27No/Xc9rm1u9dac28RdWUoSuvD34sA1nL/TRV7nTxalNfJUdp2919ru2XfTQZytJYrj7fEN3ls8oVnyzHWIgpPFSed3BHX7hIU8anlsGyBPdpFwAON1npETGwJigdyXLae2wKiTNmB+LCDT4bsMxE/xLEn56L8a4/iTjXkOe2k3ckCcwsY0r5dre9l3adGP/i/linzaRGS2x9rX4e8dirqsDoW//kZtW9aQvjfk2vn4Pj7dQEejBH/dYS2V/2VXaZ/7vKf6M+Tx03kC6WXx54oPRdziEQIXTuvBKRGUKVULtDT301mmRRKeQY6yxRKOfL5An1FF8dwcCU2ZDuqUygp2FhagcWz5pIrFsnnulQETHUwaSGJX1UXj86AibFAp2wU6DQdtmzdQ65pUdYdOgwXt6LT1dOtooNyFVfqnk7OLrAm2M2o57GvWuXe4SHu3zfMhq1DJAlcfed9pGnKnmg/24b2U8Rm466djFSHmdZXxixpiiAZykVhwSDYL23mYrKRPqlExQtTIWFq0jnYoDgtx9YHH2TpwvkE1YwN28eoj3uYejcz3TJxDs58xllKOCmKc0LzeN6Tj2PHyG56CtOJvABfXH81nxvX3MGS/tksmT2fofpeTNvioq98h6FKlVk9efK6w3h9nN4eh29ffjXXrrsZL4y4b8NmDj90OQ/tG6Jo2Ry6bClb944qWErOzRN0aswzplPxfNxSnjNOO5NYT3nZk5/ColwHx8+aRzoWqSjfhc88k9iPaDZianuqyuWT5DVOXrKQmUtm42k+TV2js7MPR/NZc/cGao2IsWnT2LJ7D5tHK+QLDuceczTzpvVRGd5PLU7oLXTTUSxTmt2nnEGb9o1y5dU/5f6HdpNaJWYNTFdADGkIW79lB1ElxC1KtC2hsbNGmIMvvu3dHDF7mRip6J5eprtYZO78mQwJbbXp4Y2NcMTcVazUbOyCCFAaXU6ekbE6aBGdHQ4dThedPR18/ZvXKWJoV+8gqxbO5bfXXMZVN9zK/3z9l2xatwmvvoe585/MZ77yeT759c9z9Q138bqznsrr/uV5HLvgcK5eez8nH34UP/72xZg9CTfdcBfZiM/onnE6zAKdHZ14DZ9dYzUu+sI36egq8eznncY+fw/z5x/GeNDk+GUrmTnYrSjUz33GWRw5ZzlOsZOOboFN2GwdWkvvnJmcfupJnHnCsTTMkM9/9Z0Mba9QGxnhuDNP4aLv/JwTj17Bd6+4llxxAPuIMo09owT7ysztXsTzX/tvnLTqKN76kjdS3TqKk3c49dS5DCVNzjrvPDZv36lizJqWTQAuJM5nxBPKlCF+JxHYDCVIGUJylUyskFYluqlFBHFEbFlEXp1MRLskJpJyfbF/RqryDD1XIMlCWZKKgGeBQAliNHGJiYcvScEXh9CEgytLY9WnJlqjUEHlGysRcUz62qQLT8ivpgJvSPQ2Y6LD04wbyvWVidMo8lQ3oKgp4oaTzwd5/4toaBdEJBNXsbzXdQUmkE47LcwIIx8nbyrabBSmOCJUhA2QmKgQdlNTdRUmmXS+SVdgQuCJsBipyKrEJiXynNXlhoatoAWksiNSqfFDizWsxMdMI6yCO0H2zSLytsQvfXIq5+uQKNJrSLFDYBomlu0qYVII1fIhrCmScECuNCGCanqmqMCmIcdKOgElomuSeClN6fmzbXQBLIiIKs0GekihO0fmSA9ciKZHhKmGVRT4iKhFGnbRJFSdfB6WnpLLueimwFRcFUlOmtLhp5FYpqKuy4GSKGy9Lj2FltrXWq4H03UU6VZ2g5FOiFZhoTDhyGyEmIlFqSiHKME1mqSOSc4UEdVUbrJMj1Ts1ZEYrZHhBRl5K1QON2WrFMHXi4i1PI4r7lSZl04Saupvg4heVtIg9CEJxC2WJ9dTxnAlCiv9sVJAodOoS3Q7Er4SQSKR3QgvFIdhQ3Re0kAc0TGOiMZxXdFsTaNB0NBUFYO4VgWEoQlpQpf1oroIa36dMG0Sy/kjArcRK0HPN8s05D1mdeNXAxKhS5spRRFkY5FccyqyK8erGZtYWkLDr5HLZ1hWiu6U1OekJeAUMnwRnrU8qR/ie5LlTUgDITNH5HuKxNUKOWkWDOsESYjjWkRuQTlBu7ossjRTjn07J+7AEeLMQfPHiERSzPcRSZ9fuQzeOK5tKSJ0FMtRz+jPj2GJaFcXWrl0TEZ4vg31ceXqD6Sr184rp60W1UmsPEbewBYXqp6q+gqjp6xAMWnoK4flwXFwHBwTY6qeu8ldcK2vIsTIv8HX36ZcVa0oZes5ImC1i2it7rkWCbe17KmccO0XYcr19rAjqxUpbQlu7d177aNdzGsXFCfDN9q3rb17rlW0LgJaSwgTwa3d3dUeS54c521dhLXm2D6PdmGoPc7Zvi0ytxbQY7I41T4HeX5LoJssoLWE2dbyJv9ejldr+6U/sLUNfxI+8SgR6qmcnFMJZO0/t0Qx2d8tMbMF1Hg0J19LBFTLmALq0RJ1RcyUdYoQ2HLvtbsfFQl6kquv/XetMVm0/b+2fZIrsCUg/CnR9OA4OP7RXY8th+Hfi9g9Wfx7oI2u/dcQAg90PA+0zCfaBfi4iXwD0wYwpPvKNugsl1QcLJd3MSxNwRukRL1aD5QDrKPUx966x4q5i+jr6qFv2mxKHWWkfangFuno6Kano1NF4UZGxjDFeWIZBFpErTqK5+tUGzpuT0FdMBvj0iGVcdyhKznxsENxSr2MVJuqvylnFwn1popxadIJNOJJMom8Z9IwE3o7+rC7HWrjAVGQMqenVxX3a5pBPp4oZt8wtktdlOxpDLN7T0WJWuKYEaiAXJTbpsF/vO51KpoXScwt0ZjW36kcJk999okUI5Nfrr6LX1x3kyrm7y3niaKEplWjoSU855RTeedLnkWpYNORK1LIFdm3pYIVpCzqKNKMYk5YuZySrjO7OMC8Hpd9tXHlVsl353jeG59GpVkjFxfZ5u1nzuI+7C5436uez/lnvRytpBNUIh5av4VSR4Gxms/GzZs5aslS4kQu8iQSF6J1FNCaMYcsXcX9m+9RAkzTcamnARv3DdE5r6BibZ0FjULO4plPPp/DVizmeU85R/lGdu8ZwR7yWbHiEOrNBtXxMfaO1zjm+EPRqPPeV7ySk486hqevWqbOCaczz2B/L4vmz2bJ4PFKYNTjBt//8SX09A0w2FWm3vTZOzSG1xhj166dCuqR2kI0FQuQzkXf/AEnH3UCS1Ydgr0/4cL3fYCzzj6DT/77B7Btj7s2rOe+NZtZ2DuDETPkwb1b6Mtr3LhrD9ffeRcbh7bw+20PsLaxl4+8+19UlO+QwQ7OOHoOF138bqZ3d3Pd6tv52uWXkoQGS2fO4O1vfDnje9aR753D2WefTn04420vfRGvfc6T+fUNd7D+lvtYPruTS757OXOmFbnt15ez+rK71YX24YeuYGCgn/nLZlPODAqdLrM7OxlKfV757NdxzbW3oUUaVz1wHbPMTu7cupaxoMr9D26iNjrGvuFxprlF3vzCF7Bvx3b60yL3rdnA8Nhezn3+m9m5d4ihraNc8Jq30u/0c911V/O1r32a7/32Ug6ZOZ2emSb6mEN/fw9X/v5q7rx9Nffddjm//MXv+PinP8Xm+h7G9ta5efU+ir1F5lQM3vCyNysxctb8WULHUbG+NJAePYmVSmzRQVeCgjlB2VQk2FT1niWGoyKSVibl/hM9c2Ze3FgCz5CYqegvMVrQxIxExBdnaYZtBRgS/xVardBuNQ3DEeiHq7rZpNA/9TwlXkmJWqJpZFlKGIn4JSKfuPgkFizOLojdnOpAk488XeivqXQAaqobMEmkew5MI0RLxH3kq25BcQpKLFZAOmGWqHmKXKHpDl4zIjHlM076zCQZrFAzmKb0oWVoKropMWITxAknOFYxIqaqeE9FYjWnpAizgqgWEI50EioSrSMdcHkFNpH1SaRWoA7iZtPtHM1MRBnp+JPwo0PDl644+SduO4nvxhg5cThC5icqyiwIjRRHOaP8MFDgEi1n0vRleqHqWJS+xaQpoJVwwlWpWXjjGZkXqfWqtLRjKaCJCLNpM8DzYvIFcVTaytU4geDW6Oh0lCNPFyeniYrXyj5XDk7pvrMyXEPm6WCGnjrOhu3i2w62pisScFxpYhFjFIrEia9AQRKrlh49LaiTRk1SV/r3xJFpEYciIApsJVGdduICzAwLW9yXeRvXEffoRDehRIDl74r8jXG0JmHDUzAPjJyqQojl/GlGE1HoOFDnmAhZxR6HxBLgQ6REtsaonAcZuY7iRNxa+iMTi4acH3JjwbDwmgUV8VZzDgOaVY+00cR2HDI/pOgYytkn3YNOZtAcr4h/k1SEQi2laLvEQtHNBVDoxmtopHZJUY7tUMTVWEXAbSfBq4mTXDhJ2sMwkkCd9/m8iRnHdM0s0RitqptDikAsn8M2JImNV/NU9LcuzvtMo0OwtpF8JouL16bh5RSUpTIeqJtxsRB9G2P4hkvOyXDScfJ2gtFsEsQOSSyCpdz0MwlDjUYqXY0ppa4cXpwjsjow85ESpdPKZnXDQKeq/m7KTZ24Po4dyk2khHB/Ba3kYgg5OxWJ1VGfAQfHwXFwTIgmLYGnJeC1D4EdyGPtgl5rSK9eq1tvsoD1iGvq4X67yaPlzpv8WPtF4eSYbWt5LfGq3cklo+XAan1tF9smj3aXV7uIKesWka0F0mh1800WC6cCafxRZPTh5U+O5bYEtT+KkD78mCyzJS5OdovJtra7I9udle37arLbsX0fykWiHK/W+mRbReibLEi1b0fLMdi+vNYxkP0sIpd8/SP321nPV+tqueXaO/Jawl7rXJosADyWyPCBRLaWK7MlCKu5PrzOdufgH23ro9B/D0Tq/aN9MYnC3BI2/tztODj+vsffW2T2iRDeWg7Dv6eI6p/rkPzG4yi8to7JY1nmE9FlqWVih3scxvs/8aGJTqwsw9RSKuMVdZEuJMQoEdeNThL46HlxfRh05fMUcnn89GFnTxxjmZ3k8xadnWXmzZ3L+rUPkpYKJPiKsDm8fz+ZdHXFGaNCGtQ9hnfsxQ8iDps/h95cPw/s2sz8mZ2s3TZMFHuqhylfFhfPhNjYrAT05Yr0dnawZ2w/OysV5Tr0ayFuySL2EqZN72Dc80n0jOU9C6hmI2zdMaqcPtJfJ84guSiXi3a5WDYLOpkUyMtFeZKR6pki6wrd0hvzeemZ57LyyLl89CvfUXMdLHWwec9e8j2dlFKD17/g2cReyMe+9T3mTBtg5fxZ1BQ5scquh0Y598RVDI0GrH9oO7lZFg8+uJNedeGrs6JvJvmyyU/vuIPOQoGi6dJRlFyZzrbRMSpDdcyCpSim+cShafuce+zx3LB2DQsGZrJ581Z1EeaFPueedAZPO+UIfv3za7ln5/0cd+jhiPTaO28+Nz64jj0P7SGOY+XwczWTKLGw85nq6zv6sEG27wrYsG0jsZ8wOGOAIAjpndZDv5bn7l0b+MD7P8VXLvokX/yP/+Htb305G/buYt60mZQGujjvsKP59fU3cNwZL+B3P/0mdaNJOXOYvWAB1922mtjL6B/Ms2t3hYW98xhyR+jWioxXquS7y4yNDZMYBuGwXNTqrJixknpzP9N7igR5i8G+IgMLF7PnwVEaY9vwIrh7aL2Cr55y1DKu/f4DvOiVp3LVTXeyd2SM/iN7cGspVS/A1Gw6SkWOGJjH8Ngw090O/uemm3ndS57DRVf8jKce+gruXfsrOm0Xz4z58hd+yNe+9EFe88Jn8P5Pf4OFM2Zz7Jx+bti8l0Uzp9E1dzrD2zdw4233MV5vMDrq8953voUbbr8Rf/tuNtcCmlnEaYeu4oWvfCdX/OZrPLR9N+H2mJHIZ8HCDpYuXc7m9ZsVaXbtgw9x/jnHcO+9m1Wn47I5s6nFOSpZk2edciIPrhvikit/zVte9Cze+tWLedcLLuSLP/gBbz7/FFad/Rq+8c2P4zcM7nnwXo5YMo+NG4bYNr6Hp55+Ej/53dXMmTuDQ0ozuH7r3RRKS0m8RPW8iSphZxmZ0FJ1ByuTgjSBV6QkUfpIP18cJuiuocRLccVlaaSEt0wsv8Q4hqEilOJMk2SjZYloZyuhxZZqPaGOSl8kBoZANsR0p4AY4gbKlHNYnGUCIFCE3zgjc00Vx9V8iQDKWnSCMMIUN5k4viyDOBQCaYJpCzhDU0JRIKRTwyZsCsRBIr+idRUgqKAbJpkubiaJRsYEQo8NNEx3ootP4pxCVTU1cR5KN5rENCXeLoJnonrWpKczZxpIwleijSoanIg2ZpDZeQUeSHXpHbSJEk+5lTURBiVybEIUW0poy+KQMAqxJQotHX9RrCLiVn6iH02U1cgD29VIJaIr+9OXuG9OiYPiMg7EhaiLy7ITSwQz25gg8SohVLbTn4hDByLAWWhCdA1SDLW9Ah3JiKVvUERMcVtFvtqPQaBj58SBKK6xCC+wMfKmEsnNrKZimHJ7SbxxKr4r9GZNCOwpbhYRi6AYiEinUy7laXoVBTRRf6mkp1AJcxqJHI80xnRsPC/FTCpEWlEBUmTfSzw2ajQVOVlqHhL5z4sxtIQsV1IiqojAErW1XfnsFuJ4gG5Kv6P8mGIqUVSn7EQ0I3ELuupvXM7VFLgpsYvYVp2oMQEEEeqsZYnTs0SjspecnSMWuERhQnRLYk3dSMjsmKwhhGOJURuqBzKtN5BNd6yEZlPcnnIcIhKrqAi7cjJKH6Wc+LGepzk2SrkkYltK4nYqcT3zhhRURo5PKn9j0yY+eXJmXc1NKM+2buGFMZbl4ntNytIFmyQEepGClRLGGQ1PxEe5ARQTOwWQaowsh59IJ6KDq8UKmiFFe6EBVjoRO5d+1FBo0n5NuQz1LCR2+pXQLc5YM/DwrTy5tArlLqJKoMReIZkHiUHRiQjSIol0CNriyEzIohTLsZQ7tphP8f2UjoJOsxrytW989fH435eD4+D4pxm7vnLMH7n92mOy8rW9r631vKnEsKncfK3HZBkiFLaLeu3rE/Gt5cJqOa0ORE99NGBCSwya7MabLHhJBFdciK3uufbeNhkqmtmCSEzhnGtff3uEdqo47VRzaV9v+2N/ah3yPJm7ONpaDsj2+Yv42C5gtralXTCbTNht348tIa/lfpyqh04cnMt7b33kOLRgGZP30x/1Or79HSqq2w7VmMptJ9sgwuejiXR/6pw40O/bnyffi6NHtkP6BScf36mOTft5JeLni62fPOY5HhwHx8Hxl4/2z6O/9ngVv1SCXOvrXzqfR3v9X2P8/lVzn1iR750ffT+WdPukEYZlK1Kl73kU5eJF16h4NUzdZKCrk0ogUTQBKRjqf+4LZg7XNcg5RSLHQWsERGKtcfOkiS8lX8RZU0U+G2nKtH6dwIhYe8cDeEFMITLJxSlf+vJ/SdaOf/3Af+CmCZWoQleHy9ZqlepIg8NnTOfQFctpai5XXH0145ZPNBaRxyIrZvijIYlceEfQM1jkjOUn0dU5ne/c8EOa2xvkOl1c26QeSwm5lPOD1dAZ9jxFUJS4rTNg4w379HV1MOrXefHKlezWXXaOb1Oujq3r96gL3DCKmFnoY182xMuf9lzuue5e7h/ZrvqQFs1dwAmrlnDNzXcoGMixK5ew5qEtzOruYu6KpfzuN7/HKMAhSxaxdGkP11x5txI6OilQCxpMH5zL6Mg4w0N7OW7lIsZJeWDdJuZ0DzIaj1Eb8ZnVN4cG+xgdDugoStww44hDl/Ke9/0XL3zFMxgZrzO9bxpunNIxrY+9O/aSt0w2je7hsFXL2LJhF67tUIkCZvTkWTRjJrausWd8jPt27OfwOYMYmstDWzbTv3AeZxy3gjsvv4H3f+FbvOH1L8EtmFhRxP79DRIHjlh0CC996Xl86rPf5smnn8qOLVt46UvfxcbR67nxynu45u4bGBqqq8jk0444mXV7t5HTNIbGI0p5i65Cjps3PYjTYdLYJ0VYMc8/6wR65i/k5tW3cc7KVVx80+9ojAcsmTZXgVMqDRGlMlYdPYf+sJunn/1sLvv9r9AMg3d/8FO89R0vYtPQXnW8Vg4s4O51mwTzyeWXXcU5zz+NfM7mzWc9m9Nf8Fp277yZGTOPf+T98LMff4YrLr+X2bN6OHLRLHS7k1E/IPErDHT1KTFOaxrcs3kNL3nF23n1e1/DnN4+0krGouXzqY5VeNeH38vPv/ZtXvDc03jRv/07K2cu5vBlK2iMVZTw8tznPIXPfOVrlIudhHaDziykWFrAM1/6Rj7x4behuyKaGOzbNYLmlnnBi0/lc9/+Ka8866l88Evf4E0vfD57hkbYsH4jH/3MB/jouz5DcaCHpLmPYmEa02ZYOH09FD2TkfEhGjpccfv12NYytCBQ+84wXdVJJzF96RYT6qoU8xmZuOgkDZhNCGipuKNSDIFqiMCTCGQhVMKskRqqz1FcdVkSKjeYiEqJ3yBKnYkeOOW8i7BMV5Q99FhcYCZhak50YmY+cSKRSBF5xWllKNiDOIjNnI0RS3RVhAZDRQgFcKHbmlS0KXBHGgc4mHgisElPWRRPCFfSFSgVAnFKogksKEGT6HIUq884cbyFEv8VQEgaq5ivOOmEFBsGGTknpZbkcPRQ9eYJEVX69aycRhxbytlEHOCKCJQItTfFsPKKLCqRXiGxCr00DSSyKM8WR6S8LlSRdBFkCnnpSAtJEIKtj5krYQtvOhTQUEqad5WLy0oixsMcBVdCygKPEOpwQhiIwJkQOhbFLCUQsI+4TF2NSlXHFBOiORFrDWu+6lKVYx/KPstZaKFEX200IXOL8CM/i8lKutTMiNAzcPIF6tE4uTQjtASnlMPU6sQSjRbgRb2K21nADGMJiyoIELpso6GEraYfqy68TJNotYMmMInauBJvJbIrqxPSrRP5SrxLSg40A0JFFxKTmINtSBmk9BkaE+TWeqJuQumxT2x3YCQN4sTAMGMicZWKYy+T7kGdIBKBUMAuAiARz11MljhkApKRc143iQTykUZkllBuZb80ibQSaeBhd7nq70qmhGgXwwyRbHAqsevAVyKmIT18pkYkOp5uEXo2piadiAG5vE2l5qsagaRRJ0KESZekLjfTNAJ5X0iTX+xhuNI8KV7DHGbUVA5EEckFeStOxsxycJQVU0i9AmeJKfcUiL06Tb2I4QWqV7CYM6hEYMu5npMuTZ1CTvr75BzrplapUeqwae6v4uaFIG0pITmxSxiWi2XIe0TeDyF2wVA30EwjxQtMXDvFdDQyL6BhDlAwayReA02J+gZuwSKW6K+ZYHgjRB2zSPwAy5bYv0dqTsTRv/XlLzwe//tycBwc//CjXXAR0aLl1pss1LWLVC3x6kBgjcmva39u+zJEKGoXo9rFqsl9c63RLrZMpv+24rDtYlVL9GrRg1sADFlva33yePtzWuNAy28f8jsRJ1vi5VTi4mSxaKrlTPXcRxOo2vfPVIJY6/etubVvz+R9PLlz8UDza49tixjbEhvlYvfRoBaTR7v7byqRr7Wf/hQJ+ED76c8Zci6IyHcgQflA82+t56DQd3D8v3IXHuzre/zGx/6EYHeg3z/RIt7jJfI9bnHdYw4/GkcuHnIFFTd997veyfzZcwl1iYs1sBKNopOjKcXZWY7BaTOwNZuC5lDs7CaIEzyJzfkJRsFk7tw5TOvsUX1xpjgUDFvF/Uq6wdhDQ+zauJ2uroIq/f/Wx97LiBnz9g9/kJ/84irq0Qg7q0N4aCzuX8G7zr+AU5evYCyM+M4VV/ObP1zFWNBQF80ClZDLoK7uAlreECsGtqNz3vKjKRZ7+OFVP0Wrw7lnnozh6KrkXMsZHDc4l1PmL2ewu0uRITWJDWYZfiUmCzLGwjo9ZYfr1uxmUf8MNm8cwR/xVIRPnBdCpJy3aAZLehez5YEt7ArHwE7x81Cpj/DbG1czbfZ0dYDmTx9Ujoliuczwrj30zOxmTt8s8incdcN2alrEHGcmHcW5Km54xNKFHL5iHt54xIc/+lW84SrPePLpbB3apfa/22EShTVsp1N1HZ127Clk+RxX3XIvz77waYpwLF6WnOUye0YPlX3jBHJRNSfhgpPOZn9lTHV9pUY4ASuIdXbuH+c3d9xGkAScsGQRmzbvoObt48ILTuaQUidPecrLaeb7ed/bXs5hCxbiVxNizaY8e5a6oF+9/j5e9o6PsbdZ42e/v5r1e7fxxve9hruvuZUbbruDZx12EhecfDrz+7rp7E6YrVvMnjlAtTLEnKVLmbdoHkmScsy8VRS6xfmkU63CZb+5hv4el53+fiUOLZk7jcFFA5yx9EglRIk7JhjP2Ftv0Ij3MlLzWXvfZt712X9htO7zmtPOJ9iXsn10v4pyH7J0Bq943XOUgHHuYUfTuWA23/rwx7n92tv52mc/ytPOPZM//P63XPC8d/CNb3+Ps49eTld3ju5SnnNOOoyzTjwKxy4wOHOQtbuGyHX286kPvZ/5TjfL3BnUO3W2b9zIvZu2MLxlO9fcdA9a9/F88FWvpZY2+MXvLuOSm65h39h2brjpNgw347a19xLsCfCzLu548H71fjzu6MPYtHMHmzftUQ6vzZWt7Nm0myR1MNwSZ528mJ/ceQWx4ZMb6OAzn/gsZ5yynM4kT//0Hvr68vziipv4wc8v46JLfskzn/lszHrC3IE5yukkYolyYCUT1FTMhFQXOUFiq+K6etjVm4SYEmPUpT/OVj1uAn2Z+OCRgn0RyURkilSnn7i85HWqHM2YENLFTSfVbOK4zRRlVjreHEJP4psphiGgAoFjRBM3DsQ5Jx2haaKovVqQEYVCChX7n4hPGUYaEjdEnJS+NnG8FZA6NXEcCxBCXFdaZiqSrTj4PAXhEOBDB6n0uIkzLjEneukcDUM6/mSLhBCrW8qxq+dM/NSlmNNUhF9hK0QMy+mKCpyaEun0VGdZs6ETBLFyCkrsVRzDapuljy1IFXxCxDZxDidZrMRVzcorAq0Qm8X5J442W+xS4iDOCmr+yiEYu4quLZCIQl5umFiqNkFuSoSB1A1EJNJvWPepNHR1M0KADFGiqfNLnNmRELrDQBGDheIr+9IyLQxVvzjhDpT4tMKZaGAXHXWjJhAh08kwCgG6bIdTVP1xhPWJz1/XIjEgX3LU+iPpRazXVfejHgQYIgRn0iMohPUOwshVLkUhqdu5otrXEqcV95h0+dVl35ULCjgRarLvdAUcEqHNTyxV1ZD5IggLIEr8n6lyoRIJKEMULRHiElxHItUNda6GAlQS2m/eIOfaGGI3FcFVSMCOSVPEZC2bAIxEPponIrRJYuYQAK6bM5Vrz9bFeSju1wCvLmDcgDSM1d8Oq9hLECRERo7MNzDCkCxtqi5HgcFEmU5nwaUxVCWW/S0Ow+owseZidkiNQg0treOUy2S+yOIFtLBOQ8jWmjhthbjcIIzkr+iE4O2nQkqWDkuNmqehWzo5sScaIrLllGiet3Rip6ii6529ebxmnbqn4YsgR0LQaKIVc1DsUFR5Pd8hiWd0v44WiRsTjEzAHVIJoRGbLo4dkJkSRS4oMVFcfUJDlqh5rMn5kTI0mgmXmeqQR50eaNSUmz8SAVkIJ75AUeQmzcFxcBwcj0XgEwdWK6IpDr0DCXctQaU9LitDIqGTnzOZhNs+ZH0iksjjre65qRyBLahHO2TjQKMVD24XptoFoBYkQgSp1s8tYau17vbXtot77eJX+3NEHJJ/8twvVz4/5b5qvbZ9LpPnOdV2T173I8Jem4DViuW2+g1bx2XyOkWMm3xMJ89HRivCLOORTsBJcVkZQqAV91qrH08uftvpzJPHo3XwHUjgay1Ltqm13skuTNmG1u8eK+G3fUx+TUv8fbTRijOLINia++Rjf3AcHE/EEIHviYh1/jXHEzX/xxJf/sCfcOQd6Pd/SwLfnzMeN5HvgfvuoB7XSbJUlfT/z7cvJmdrDJR7sQwbu+gSRxFRsymIQuq1Ol1dPZS75MItRLNM4iihUCpTLndRKJQoFXI855kXqOWVNYtSWS64A+quie8VGX7Ix3FcnvfOD9CTk/hvDrtUZzz2+d5Xf0xPVmbBoYNceucdLDlkBtNyvfgjId9+17soCsWzGrPUncmyOUtIqjHPXrZA9VLVh2Ouvu9enn/hCynaOWb19PGH1bdhRBLdM1iS7+ah+hAP7N/Ldr2Ok08pd1os6ulXF/mmYyjHwTOPO4cjj1rFHdseEL2C4aDOzIHZShz52hteSjnfQWbFXL3+bnaNDZFZCUfOWE4amQx2l5k9rY98uUCpXBbeLVnm0WzW6CjarJrTxWnHnEjZ6OTNz3ouPdOKnHH0Ct704pdw0+9v4d67HqRzIMd5F57DgvJMblh9G71dRQZ6Osl35jj3KWdwxOwFWF0WN99zN7nMYuXCOTi5Tgw94YjDT2HTzq2sXvsgoVkmTmo0N4XctfV+9u3awwnLFnH+GUfT0fH/sfcXcHbVd/4//jx+ztXxSSbJxI0ACRASoFCkQKHUfSts3ba03dp267KVrXup+9aFCm2R4m4hQIjLRMdnrh//P96f4fK7Ozuh8mW72/3Pu+Uxydy5x++dnNd9vV7PLKtXLWGkXOLEnsWsW3kMd+3eyiuf/USq5ZQv/fBKbtyyiR98/bPsPbKDWsPnwjOWMFgfY6gRUysdId/Xydx5cznvlA1ofsDYwAHcTJHG5DBX3bmFs07ZyOHd+1jU280nPvMj/nD3PvxixMhIxOkbT8Ss1jgysI8LTz2da264heoRn9SPqIaTyl10eHiCkbKGP6Lx4LZDXPLExzOqV3Hm2hh5g4YRcf5TTsT28jz/yY/ncReu555bNnFo3yhP+oenobXB+lUrOPHU49ndGKShJbi2y3Vb76dxeIji2g6e8sLX8Yp/fjO/ufxK7r77Ol74/Cep18XGJ78cKkKa1vnoV77Guy/9Dpf+6j8YHjnCpp23UR4f4tgNC/DacuzxJ1nsFXjmS17K408/jd/9+lq+/t6386uvfxSKFv1hH2sWL6bL66W9u42B+weYKNd46ilnsfjYY3j5Je9iYVcnf/zRpSxZuIBVc5cSZ126evqIwoAv/uxyTprXT297nv2NiAV+D89/xtOZU2xnKNDYse0I9+y6lavv2cSRapk3PPf5Yqbin57+HL7wnUtxClmsQKPXnVCAB81y0JNQveYlmp8mwq2N0QUgIfCcNFVdbrFc/L708iVKNJE+NnH1CXFb4AsC6ggiEU1i1b8lAAdfOvYEUiFdfuJAEnFQ15VbUMRcS2lmMZq68Q8IogDTdAmVU9BSpFFNHIFSCJgKczTESmL0xCRpCBjHIbazaj+k200LS1iedApOOdck2i+wCYl5ilNRuv+kJzClgZGV7rZICYyRrxFXGmLkUm+n0sknIpD0rZlJpHrklPMojqaipUasosxJJcKsCz8jT6aoY4nYpYlAJ4AMA4V2CGvqe1bGwbEdFSGWKKoEl82kPgXr0KRDMKQhwo/qDJQ+REjrYxiiXaU2ukAM4kgBI8IoxdHFTSguyCnKbCOyiGLp2bOxLOnr02hIV2eq42oP9XVKx5vhqFUKIT3VHEVADUQ1k/cm/aFzb+VJLVf1+LmOp8i/jdAkGPcpZl0FW0ijWAlmIuiqhHe1SuIHaJkMpsBXsjmCxCCUGHKQkkQ1JSCWSgJoCIRvgmFL/2kJ0zJxrQTL0tUHRZlclqRaUsdCdwRuYZJxU9XpKsWLIvyZTl7tTz2VFKmvXJEC1xCya1xvKJFYnI5+7IG4Du0p8IOmxRhOrOiwqe6Qzwm5V0cz8zQCITdbRHanOofSTZlxDMKJgCjVlTAe+eOYGQc/jslLxFx69eIEgxyNyiROLk9c05W4FjaEfBuRcSz0ekjgN6iGMRmpgfClvTbGdHO4pq+6A61Mh4BraUxUlOCu+1X8yIVyhUaapcORXj0HW/fRJifBb2A74pI0sbNZHD2h1shRTTKkdh5Li6g0Eip1kQQbOJ7OxJEhbFEt/SkB3/IKRKKK2hkmRkaVE9EXYVaivU5CJO8RwQR21lMCn+NI3Fg0WhHnxWxbIwhSGmlKEMiHPslDkfeQ9nYT20wpzuvDc33l2LfzGSYqKV5HmxJTUwHWzM7szM5RHXvT/97sgGv29k0XfkQcU86pN7354ahuU3RpxjjFldcqkkzv5WsSe1Wk8xMffzi+O51s23TfyX+tlN+Zpilsybr/k4jYEg9t3QaJ5ja3u7XnrtmtJ8+TfW4KWK0iY1MUbD5PnIBNsa7pCmzdj9Y/T++9eyQBqfW5Tafh9G1++LwJXOIhR14TKDF9/a1CZnOa62l228nI85vnu/V4NsUs2cdm114TfNG6LCU2PnSNzHSdzbTfch1ITLYJwJguvMk2NY/xw9dHy/JfU3z91Pce2paZqLpHm+a+N5c/U4R5eg+kOCYfdpw+JErKc6ZHmWdndh5tQWsmoervVWD6f9n+v6Zv8NGI+L7sf7Gg+tds26MW17300k/Rs3Ax27dsxbJNdCNCj8VJYjHhlxR9V+iQXV1zqNYa9LQVmJAInF/DNW3lNsp39dCVkzhvHVtEOyNhbGQEXdfZsn8fJ6+Yz413Hib099Jh5DlQ2Y8ROip2Z3mJis1qjYC2tMgznnIB3R1Ftgwc4OZ770Yrl7C1LkLq+EZAfz7PrTt2UMjL9owwETd46pln8ZtrrqO9PUdGN2h32+jM97DjwAH2793HGSefxNvf/zLe+84vKRqrafusWnYsbQWLcPQIVSPLqcetZeGiAg/ctZ0vXnEFvV4f8xfmuWvzVoycgU3KEbl5H4/ZsHI1mqNx573byDgOdtGmPFphcXsPmfYcp6w7gZHJEXVTWpocZ25XjvvvP8jyVQuJSnUouOgSrWvEmEWL3Tt3sXxpP7+4/I+05TN0ODl21SeYn+sh3w133rNbiae1SpklnQsohSGmBWPxGLbu0lNsZ3BsiMeuO5W9hwa4+8FttBey6vjOtdvZe+QAmUI7o+UJujI5PveuV/Ozy67HyMSMjFe5bd9e5WzSJ01OOm4Ju3buZrjhM7fQzvbhA3QX2zhtxQpu3r2VH3/qszzn1a/FsB0cP6SYa+PEDcdzf3k/yXCVXLadFXMWcsvdt7Ns5Qpqh0aomyGlsRLHL5/H/XsPsH7VSq7ZPADRMAt65nHt5i3qWuluyzJ0pMyylcsYOXwA1zQ55/Fnc/VN1xPEMf/6wheyedNufn7HtYTG1I20mRr8+Ku/4XGPP4ez168jSaosX7mCP958C+9+xasYLI1zxXXXs+3wftVTFZgJpUqdZ244jRt3buEZpz2GWuLx7H/8J97/jteSKdi8+Q3vBqeND73tEl7z7GfxL5d+luUrF/OkZ5zFjdfcz+FDw6q/rVSrYeoNsp1zObjnAPuHhpjX1c25604ijGtkuov87LIryeddjl25mhs23cNZ605i5ZIVfO+nv+CDb3wfv735lwyOj/DAlp2sXtxP4sFLXvZynnPxS1jS342WOBwaGeMFFz6eJ599Di/62Pv4yvtfy+c//HMO+iXmL1+Lvnc/J69fxmf+cDnPPeuptK+y+d5Hfkm1qJExHDzH4Px1xysK5pU7DgrXVokz4k5ytFhQBCpuJ24uoYxGuqaccUJ1ECaDUs+ihhLSJbKrRQI+mHL9aWlAGOZwnVA5yCRSqWlTkVQBcSQCurGmnmdJlFFij6l0pEnvn0T3pKtT4BsGmkTuJUcbSeddBU0AB+ZUR5wCUyRCLg2UCGi5hgIw1COJ/cr6NOWAi4MY0xHSr2y+yGri4JL+POkJNFTfpuyaov+KqzEWkIiPZrhqnww3JJV4ZyogCkjF0RVLu6g1BeEIqiriazkZQbKq9QYi7AUhhoq9iivOmHJhmVlMoQqL9JQITEJT7jKBDaWhOAdR+6eOpy3dZroi8ybJlBBrJQLTkPixSyiADS2lnhh4lvQYitoSkEj/W8YilWMUSRGhADNSGiLUSG9hmmB6lnJuxuIe0wUSItQOiRcb2G15JsfqihBseYZy/aWOJwY/YoFDOBa4JmkjVUTbWKoExdmlS+xVXJGBAhgpGisZ7KSsHJyJhGGFUGvbqodQM/UpYISc81DDNUIqho1HQGyKo1Kcnw5hMkbd98jZ0k9oE1UnQWK6maICP8eBj5vU8UUEDjIYdqJE4EaiK3dZvsukVpbrKVV9dYQBpmPiNxrqteQWRCdLsPQQy84qAImGr/obJZItG5KaObSkQeIWMUrDyikqNOOsY1IPBeoUKCiGH0hEXLi6Em1NFbxD9yV+rSmhVEAcdj6nBMFAOgUdcaYGeI6H5tpElUnlkJSorCvCuCtAjwjhU0j63ZU+RBHDBVchCfM4JtQcdY5do0G5oZE1pcEyxNJdJioJZlb2NcGU0K/E7aUDVgT38iSGVyBwHfArGNKLaCbUagl2bGLk8tRKk4RRVfWYpn6D2PWwRNy3EwWiEUG2VpUORanlMMl0dlIeH6fQ1k5ChajWIJH3G+nz9H2STIGoIh8KOowFGbQwpL0tpjwS8s1vznbyzc7s/KXCX6vr6sD+G/8T/EGmVXBrdrb9ORHK5oigI86/5vNa45+tXX2t8dhWAe0viYG2znQC73SnXauTqxnZbUZup8eCW6PFrdHhmWKzrWJa6zKmx3rl58QhJ2LX9Kjv0frzjjYz7V9rZLo1At3cPlm3bHdzmx4+ni3dfDMd61YwxfTItSxzpnPx18yfG939c+K6089ns3dxpk6+6ctvPmf6Ofp7BhD8OTMbDZ2d2Wvmf75D8M+JBv/NO/ne9+H3KtKsODdUgX4G5hS7qNTKiq6ZpjrFth5Gxg5gxC6Lly9RN8ni6mhIRNc28XJtKgaVxuI4CalMHMavVPD9EuOlMU7ZuIHfXnMtZs0kCuRmU24cHF717IuoRvCF3/+Yr7z3G/zhsi/y8xtuY7g0QbfdxZql85Sba7IUUSzoLF+2lHuPHGJ83wEqjQrPe+3z+fJHvoWV0XF1g4VdHXzqE9/mfe99E69+xT/y/vd+gXoYUmhzWL60h8uuv5V//Ydn47bbfP9XV3HGCWsZL1UYPVLiVc86n/d97mckjsFxJyynx/O46s57ePEznsB1N99LGukc3reLNSesUoXw1niNGw9sY3C4jJW1mFPsYOveARxd55xTNrJ7YA+7Dh7BabMZG66qwnyJMC7r7OfY1Yv57d230WF38KxzT2SQGjdcdRfVRoOuuUWySZ69wyO0F3TWzV/KXbv3MzI5zvEnLeX+uweoawHLs13sboyw8ZjVbL1vBxeeci57Jo6wacsDyi3jtXt86g0fZ3xsD//2lS9RsB2OO30dL3/uG9R5v/A557Kkdz61colqUqPSSJW7sqtgMVppkDUyFOwcTl7n8IFhTt14LNfceBfPPuex3L5vN3sPHqBTHIvllEPVYeZ1d3Hq6pO4/I5rcTvyDB0Y55ffu5xPf/FjbLrrTo4Mj7Js+WJOn9fFnQPDZDJFKn6Jjs4ebrz7drRYomqBKulfteJ4OlNxqkQUyXPD8L384F3vYfuRYW668ha+94dreOOLns1Xf3cZlcEQvSvFbOg8dcM5ZNtsTjntZAqeztyVZ/Lq17ye1cuKlAOfQ6OHMSKNnQMHedsLX0C2aw4nnT5Fp9t262W87ROfpb2jg8ccu0qJRa9404f40Zffx8DwMPsHh8i0Zxg/7LNk+UJuuek2TjtlFRP7UzoXtbFtYICenM3g0ARf/cYv+ebH38NP77iJT77+VXz4hz/kRRc8g8OHBsmT4RtXXcYZJ5/AHLuIH1d40UueAM4ivv+9n0JaZWR4iEa5wSQR/b0LKRQMfnfjDayau5K9pd2sXLSEfCXLK9/9Pn725W+zu/oA2wcO0u06TDR0Fve08czzX8ir/u2dPHHjiTh5h55invHJSS6/+yac9mMUVAeJzWoRmpmgBSKyiONOBBKhrdqkDR9DnHWOSdCoocU2lh2rmKr0aslbkKULwEN5wQTqOiVQiYAnjr9Q3HEBmpEj1UPlhJMPEoJaFc0qKvFPgBG6lK8pUoZJIhFaiewGsg3iQrPw5OcE1JHaxEmAZch2G8rFpmMT+g3l9jIkbyjCnWOQVqtTIpGfYEksWKoDYmNK5Ip9At3CkYioiBhOQfAe6mcTsS4iH3IIadej3mioXrWpzZO4vlB7sySpuAjFtdhQhGBL3GeprvoITdMmiARoIL1zMUlDx7Y1BfaJxM0lwqaARpIIy5Y2RAcznQJSJBIFdVysYFJ1sokSaLlCwBUDZIiu4qUegR4oqnEqhNVUGLgJtlBBvDw0yioyLU/P6CGBYdOoxHimrpyWBDXlmjQtC9fTVQdcWp1U0A3dDaiNi8lPx7JiEs1R+52WG8rlKf1+AinRxAloiAKcJYrrtBXa8QOfINFIKzUSy8O0pDtPJ9Rc9IZPmgQ4uo1veURppBxiUTUiFniHpavHKhJ3Tqdo7oZ0OmopUT3CKXYQ+mXVQygdiwJqMeWYq0i0uCAFuGIqN524CW1T+vYijKCB5rbhS1w0SFUk2XB1gmoNQxyt4vYLdCxHGCniTI1JjIwS0YQIPTzRwNZCbDtPYvrqfUqERaEp13yNbC5H3KiRahGmLaAZj4aocppc67a6VsXdJwAW3XBV1Nd2TeWKbVQjJfYmWqgEVolha6mhqMwiUmsSNY9i3JyhPgSJTAu/GuJmMwTDR4izHVCfJDKKZPJyfQfIBVErlSh05vFL45i5vOqYzHXmSEcniByPKPJpdzJUjZioXsfFJNJFRJceToGxSJ1GVZ17EW2raY5i0aJRrmFmC2jiTC9NCaN6XCHRpR+2W4mJqbxPmJbUVZLK+0YlwTYmSDMdKhrviTO+avDDr33u0fjny+zMzv9fxXZbR0it03v0jjatoISZhL7msqcDF/4U/bRVaJNp7dCb3hk4XbhpndaOvul/nt5JNx2G0bo9TeGxCZxo/bmmGDZdUJwuqk3vNZypX7DZiTddCGx2GM7UUXi0Y9g607v2pu+n7IPcSIrY2ISStB7b1nPWKv61iqNNKnIr3GIm8fJoM31/jnYuZD2twlxzPTM5/lq3Z/q09hPOtH3Tv99cz0yCbmt0fXb+tjMrRM7O/6QAd+r/cEdiUwD8m4t8H/z4+5jfM5eeOV2q82qiXGXf0GHCIKRYaKdajcl4cqMpN6U2Gzacxs4dWxkpjeCYWRUjm9PTw9oTT2bntntVrKdaHldkwuHBEfxokrHKMAuKfWw+cIBFnXNYML+f3XsPkPd0btm+iUJSYNmCXv547x3k2nIYeqocBl2FInFcITRiypUAW7Mo2llWLF3Imrndqpvukz//PpUJn7Se0ru4yBNOOI9f3nAF+ZxJm9tLqtXYeWSQrnxBdfMt723n3A3ruXXTAFV/kEVzTmDL/jtxbJfGWIMdQ2MMVUbZuHoltz64jULO47QT1nDjTQ/ymX//N978oXfQZXfRme1gw8lz+Nx3f0cx65A3PMx2l1KphKGbLJo/j8X9i7j2ztvUjaQcl6LhUdAcFq1awuBEiTv3bGOeZpPYRdYdu4Dbtu4mV/fZtP8QuZyjurqEVLmqv4fxSsihg8NoBehvuFRzDlXqpGMRPTmXkbBKtZrQXcwqR4/WZnHWmvWU6gFnv+btXPKss8jaHl3tXewfPkTWtVjSvYjYmypSn6zU2bfvCMs6Oigs62Niz6AqkS9H47S7LprTxuq+ubS1tfPH224gDW1CI8QIYlYsXsjOgb1M1gLWr1zJTbsfYFn3XKSx/lNv/ha/uuvLDB2u8PtNN9IedzHsj3HymtXccfcmOvNdHDl4hExXgfFaRXWxndS/nN5slgNjY/hmG8f0Zvnjjnu44LiNLF+4kPd/8esYlsarLrqAH991E72xrUSFz3zlu1z9m+/Rb9voc4vUDlc47vxn8KJXP4OJSo0TupYTmw0F5Thn/WPo7OzGHx3nOa99I3f8/vsKkpL6PrVExCmPs8/cwF03Xk2BXkpuwPY9QxS6YnbvnsAOa3TNWYB4Zo5bs5bbrv4lZ7/sIv7wm1tYv3gjsTXOob2D7D94kDM3HkusdXNkcDeLOuZx04P3s37lch4YGsBFwzMyLOos8Ivb7uIJ55/PKSc9kSisc80VP+CK22/mpU+9SIlCQvo8/6KX8+J/eg4XbTyPZ178Mq74ySdxrTZ+ddNNXHjCmZQ8nyt+/DvOPv0C7i/dhj8RU5lI+cKXv80Pv/g+vn/TjeR6j1VCvWHFhOUIQ0U8BQ5hQ93HyGsqziqRWUOBMYTUKuRTsZNJPDXFkM65anmKaJtKrK8qtjRMceOlU+CLVHreYkPReuUDAHEHC+LDj6ZeD+KiEwaGBB8FfgEOkWWh+Q0yrqagFEJvFXiEUGOF0hmH/pSzyJdIb4KFOAhNJbAJBVdcWeJYS6TLT7MU6VMEMoEKaY0SfpRF1xsEEqclRXckzpvS8EWX0ZRgaLsxaeJh2xFRIssU152UDGrUYgvHlD8amGEDS+KNuolfbig6tIBqnayrBEgzCpQjUPoBRUzRbVfFmEUxlBixrCtMTDLZhEBIsSI0pgI7iYltD0vEVkM+PIlUj1kowqEAZx1PQR8sZ8pdJ+dE4q+huNYIafgpRiaDU6kReAZ2Ig5AGydnkVQleizgJI0gMijmQ8oT4m4UIIpFXA6xCgb1WoppC/hBliuWRh/HtKdEt0gnsRK1HDmHAixJDcEgCeFXtFUNv5rgFrPUKjXyTkQ1stCTWJFYbTtUUVAh6EpkNm5UFHTFDxoKWmKo+LGOL25KwZLIn+s1jGSqX0+clyL2SezTUDTzEC3R8ZyYULa7WKRerSk3qecJJV4jDUMciSvHsg7Ue6tcI2muh3h0HF36B02H1NNJJ+toxSxhyccSB6dWJkpd7MwUPiXyDVzPJ451dR1IBFW2WSLRpiVdkxZ+Q2KuOo1qTdGsZVukj9G1pJbOxZB+v2qFjvYMtXKkBG9b0asFCmJOOUzTBo6bI0zDqevSkpitiLUQGj5OPSYws+r6FiFWEB6iJ0rfYmhayvGIJ/UWMUlSU/AaiXrr8uJPRNCWT/csdNtWoqWeibEipl4Luk8YaDi5InG9QmwJgKSGbZsqutwoa5gZYc8kZGwNw45plGQdnqBdFODET9vQzRRFG3IKmLWJqXNmGXzps7M9SbMzO3/N/MfXPv1w9FHcdU2K60xOs1bn118i4EwX8GYCVkwX3aY74o7mMGx9rPn9phtuJqdaK6BCosgipLVCOlrFuOayZyL2ziQUNmOvM7kRp29j67JnWsfRxMeZjkXz5+UmtinUNbdrpue2CpVyk9ik5DaXN10wa46IbM1j04S2tBKJjybm/iWAjOb2NQEZj4Yz8JHE4Ee6jpsOxZm2oQkhmZ3ZmZ1HV2T7nxbQHm1h8M/dn78G6vE3F/ne+5H3QRqrLiq5Ad+w6lQOj+7m0Ogwsa6TBjr5QhuOY6poWjHnkstIQb24PUy0jEVHW4+KnvYs6KY+XibQfMbHRxjeuQezM4c+OcrA8ARL5i9g7/AO8laX6pk7YfVaBg4dxC5rZBe185vf/Jy9Y6NcdOKTuGHnbdQbFfKOqyiOO/Zu500veR1bt97DlbfcRLUeMa89i1WUmyMHQ3coOTZ7t+6gs9Autxiqc6p/QQcD+0a4aO0ZXHn/HbiGznOfdg61CYPrN92kepomGz5hGvOaZz+br/34ZwxXSpy2/HhuvOte1qxZwcSRBkZSRbKLx6xYxqbdu1WhfXdnJ0OTI2w4dy17b9qLs2wJHUGD4XiE8R2TpAWbmm0RHR6ip7OH3UMDzJ0zl4tOWs+m7VvZfN8uzj7/dPZtvynGIQABAABJREFU3sGcpQtplCp4bSaVgUkeHD+ESBh9+XYFNNmzd5BIk44lE8236MjZdOZ62FsaYH5XP/c/uJUnn3UO2/fvVqTeyaCuXEdTfVtAWaPLzjHvpF7uv38/x/ctYcf+w1iuT2WiSsUXcmdMV0cRA4eqUEz9hiqfr9ZSrGyCETmsnt/Puz74cfY9sIeOjhIf+/iXeME/vxvDGCcaPMS119/IUGWCU44/kfmeSZzANZvvJ40i2tp7uPgVb8Ev7+cHX/wG2xsTdAQp1957H1GbTlQRqqrOp9/+L4yPVjjjsav4wfd/zTcv/wOXPP2pfOY/LmPVim5OWX48Bw4NM1Qbp697Ppv2buFF55/Hec+Z+sfSv77/pazsXEhbd4FND+5iz8EhFs/v4cD4KCOHB5nfMY8lyzp44xs/zdc/9S7u27ufrQcP8MxzTuXAwUMs6O9j6Mgk45NVXv3Cp3P9zQ9y+lkX8eVLP8bak05my/13c8EZj+X31/yeMaHEGg1cow2vkCGsTrCwfymFjMn3brqakztX85ZL3sJHPvdhjj/mGCZHS7TnbL79x9+zqKMPPZfQphXQMzq+a3NB37HcuH+TKqpfmO3n7n33s2f8CG95/ouoDo7y1Vt/jxvrfPClb6AzcwIv+ewLefUTL+Kqu+7i5BOP5757D/K+931MHYenPOc88p5LPpcl8BPSpMTCE4+jGFvcuqcOvnTXTbnklKggZXBRnVQ3VUxPHGqqw0vTBLyKYYr4EBCJwCX01zhC2KKR0LkF9iBxRelLk/62RJyrU86p1DLRxN6kiUgogpwIfwZxJITaAO2hPjtxzwl1VvF9xckliczIJyMkUxF80gBNFxhFSCIwDkF+JCG2IQFBSZzWSCXraDjoZk29d0mEM5X9M6Zosrqt5JYpcql0+skG654SISVALB1wAmuQ4y8dhQI3FcqIreuqH0+McGlqqe44kaBCcbyZKX49UmARgVWAq2AD0gGYCvBHut7EJWn4mIlLZKSqC1HebwXWoYlbztIUVTiWKKXpTjkeQ3GQSeea1LUZuG0uQbUuR5zQyCvhDd9X793yXp2k0vgmYqmNKVFiJSgK6CAhyHhkIxFAxeFnoIV1QjdDRtxcZKYELxFktQqa4dEQ96HeUOdT1Bw9rWPFJqGDgmBI1Fli1AIzcTszVIdruAVXRXNFZZJexjiUXkKPtFJV58bMdhCmEo8Gs1EnFDFL6M7i8DM11QFoO76KvhpeXtVDGLpPkrqkhkHGlqta3qvlOkywozoVtwcvrgqGQ9LLRIZDqklMGdycTn0ixfTE5zjVmacJUTpvEFblRCaKxGvoZTS59gX2YTuYYR1HCM6RSZo2sCyPRpSQs1LlsvO8lGrgEFdHVGQ51T10J1LRdsORCotYuTR1PVLdh444GSWonLGoVEKytoUm4BbEWaojnN8kESFOxNYA13EIa3UsAdVI916uwOhIlbyjqQhyIkRfeUxI9gjNWsTAlFrDUM5BgbZosYCmeikHVcw0QvhScaQrgU2ck05cU79fRNy1snl1/icrkC14hOUKuW6b2kisunSFjCzQEKElSzdnTS6CVGAmDWpVaCuG+FGGWEjSWkTiipgZKliIE8tXH13wN16ORrlKZCR85+tfezT++TI7s/P/N9MUdloJtCJ2NQWWJgW3OU0xbHqk9WjC03Ti7dGcXTMtqynSNb9Od7XNJBAezQ02XVybHmltFRVb9601WtzsJZQ5mgDY6uJrLn+6K/Fo1N5HEsEeCVYhj4k42+znkxtSEWhbKbytz2s64uRGcqZIbqtDc/q07msrrXimZcz0/VZicOv+/DkC4CPFc//U+mbaPxk5bnJeW8+fCHoPjGyckags07qe5rX5fzm2Ozuz89/lhPufFvk+8Dfcn/9TdN1avUIhV6C90EGi6dx8z40cmRwjiMWxgaIPJm6qbvYyno0hN6lxlkKxi/a53biWQ3uxgJFxqFfLilromQWK5SpawaExOUlAxLzeTiaqJTw8lixeLAvmrvv2EBs+o9EIV950GQfGa2hY/Obu3xEK1S/Q1Y1gkETkPJcte+7lla95myJgak7CgfEJtj84yKHxSSXSuGEJp82lVq/ys29exoue8lSWzOvnH85/Jpm+E+jt7mTViov42Nd/zqV//CmLjl/CE045WwmCTofNV7/2fXra5+E2bFYt6iPVU/bu20ctrCr3gpA67zuwg+HJCQrFLCNjVQzNoLq7wkhllMMPbOb6TfeghybHrFhBWGvQF6Us6Gonl8tz6uKFeHY7Q6UJTl23mgvOfSzr++ezaFEPw8OH6FrkMDnmc8/QAB1uOwvntfHEc0+nLz+H41b3c9Jxq/DLEZ0Zh5OWn8THPv1Jjp+/krwbsW7lYh7Yfh/bDhxiaGSCtavns7x7Po895niWZPuoxCG9S3rYfe9BjEbIDffeS76Y4YQ1p9DZ283Gb16JhU656lOp1zl53jw6ip30dvbQs3AFC6SsPQm4f3w726/7Kb+58lIObtvOK59zPm993Qv43Ic+zeDkEF1zl9Ht5Nm6eSvfuPIWPvK1nxH7cNVd93HxK17PzTfejJNfwIv+5RIes+ZYDtYmadjgBQZ9G/ulWY23ffKz9LU7nPeC1/K1n/6euAYHBkco9Jj0dcxn2+79rFm3gnNOOZFt+7eQlHSGKxX5ZwLj4ztYmJ1HJETNzl668h7nn3wSa49dwfFzVnPCMetYuXwBZpJV1//VW++hLZ8na5mM12vUEotDwyU6Ct2q223xCRepHrYDow/w0c98gjseuJ0PfvyrnPaU53H3wBH2DR5gcLTCvXu2MXF4Ai2xODx8hB/97kp+/8lPMFgf4TNf/6Q65w/s3sO2gwf4zhVXiq5ONfRp1CLu3rOVxxy/mn2H93PZ7Vdz3e33cfe27WQKCRecfRYZoYgC7Qt7McKE9YvW8OMrv8+lv3kfP//65aw46XEU7DZ+/ZOrSf067ITqkVFKtTq9y9o4fHiM3r48dqHA0jDP8HCZc1Z2Y5i6grWIzSiRTjM/VBFXsTqpTxCUMCUOOonlSkzTVxE+Q6KzfqycTHEicAMRgkToi4n1BF2616RETgAeUskXSazUBssSVWxq2UJ91YypaK8hQIgpEqyJOL1iFW839FBBgMQdZzk6qcQzjYdiwfI/Ic/qDokmjrkyUSigD1l6TBoayolmRrFyyykKsGYqcIg8bsST6JaFrsTGGKmeiwU6EkdK8LYN5XNSkJGpfgITLRXXVIKeiEsxJRKHlvT+hSG6qam+NEN6AcO6JI8Jq/L9KYhEIETjVOLI4myKMONIufKk8zSu1UhCAW2IBuopp1+cGEpoipXrK8LMuKQSNxWCsDiaMw0lsLp5V31IE8sydXm+hp00SEWs8nJgZXEyDgWJVwu0KNbQTTmWEldOiCoJaVBXoqtjihiUUZFQR6tjyj6LYJSm1EMd3xLRU66POoZyesoBiFXk1st4JPKeHWnEdRM9kcdCInEzGhqWQBzkGPhgRgl6W1FFcvU0xsy1UxMl1dOYKPmK1h7rKZb0hAqdV3TbJKLeiAjkHIijE5Oa5qFXx6kqEoeBnrewtQDDiDE8E78mv7REuJTfKo66LqXLMJY0s7gQLYvUiNV5jeshkZmQNUJ8RUBpqHNsC6G54isAx0SlTiMM8KXdMqhhZbIqImxZoQLBSJ+fgD7k5SAim1vM4Ooehp2i2SlxFChXpkjMseuSk5eDYSkAiwhzrri3TVP19+lOkZqRwTEz+KU6hZyLXq9jei6x79MIQvQwxBDwjG1Sr4Lb26sg1CIC65qDX5okm1SxDTkXCVY2o65fUapDJ6Nco9U4oTruUxqt4FkRWr2khP/qmPRaJhRsiY7H6LFFgzzVRgRJBUObJOPqFPLiJrVV9F0cllFtglx1BEe6auMJ/DBC4Nypsg4DhYyCvczO7MzOnz/NGG1TDBIRQ0Sb5p9FzGuKYE1IR5NYK9MaNZ3JoSbfl7/PRNFtgiWaX6cLNM31t0ISZOR7rbCL1qhk003WXH6roNfc/uaIg09+vlWsE3Fn+r7J4/KfCGjNZRxNpGzuvzy36e5qgh5agSTymPxZjvV0aIX8eSYyrYoJf+LjDzs8WiO58v3rrOc9vN/i4pP1NsEiTcCFPEduaG9+/+XqOa1uv9ZpPj6Tk286vfhoIu90su/DRNxpxODWr03AyXS6cXPbHxbiZhDt/svPvunNap2ty1XbP01cbAp8/ynO/YmPPywqTx85ps3rVv5rXpt/DRhgdv5y0Wd2/mfnbymI/S1cfO/6C/bnf/I1/mhd+4+ayJeTJnIcJkpldTMnRelBEKqCfLkhSIXwUDdITKEc5oiEfBlNqM6+8fEytcRhZOQQtqmRsXOMTtapJyFRZ5/qkEpsD592ir3zqYY1LC/PrkP7WLV0Gc9+5pls37SDXQeG8dw+5i/pZ8WyhfQVs1hRgxPXLKUzZ9Nm2hTyebY/sIdPvO/9nLRoOSf3reZFT30KP/nR97Gz4kjQ6ezowUlS1q9sEr1+yMCuEb74i+/x9R99hE//+6c4cvAGjunvp6C5/Oqya7j17s00wpjS/jKTcYO9o0OI/vOj313NmmX9aNUE203YcXCAetSge8F8ujMFapWIvp5OimaWahTy1Fe8mHJS45lPfRqNyZB7d21h8fx+HjhwgAf3H2Lnrl0cKAcE1QpLiov40k8u5+dXXcPHvvVj7r5/O2abzaa793P3/h2sXbCCiAQ3Mvn19ddRdBPqlUkOD4+wuKMLr6ud67bexQc++EGOOWY9hwdrjPkatvR8iT9IM7j19l0MlkusXracBw4ewNN1hg6OsmbtQjZu3EA277Bn9y5e+09vocfu5O5XXIizoMDGFcdRr1YZ90zGy2PoUcLqxTl2Dh5BZLFjF8/nyNAId27bwaHhce4OQi75x+fzmmecwWe/8R1+8Pv/4KbtmxkujYnKwZr1/TywbxvPufA8YIJsZpLznnUOz3ruC/nDH25h65H9bFy2GiOw6Biz6Z1bVM6xl7/rE+Q8m+dfeAHHnHIyRyZGefy6U7jxnk2s6mun0SixfO2paJbL1z/yVlbOWcU3P/9N2tuXc+M9m/nFH67iwJ7trFm2itJkwBcv+yV7J/YR1gP27jlEVI95z7+8hAm/wWTYUH1i1ANVhv/yi87nD/ffTC5T5Htf/neuuf9ezly8gs3X38C6+SvYfsPPuO47n+V3P7+a33ztszznvHN5xVlPRrS4Cy58HPc/uJMLHnMcb3/vV5nb2U1MjWOXHMu9Ox/gvj1buPCkk2n3spJmpq+thzPXbuCWrdtpF5HIzdDRm+fXP7iS2+/eSmN4mCVd89kxsI0OPNVd9sDAbhYvPRUaRV7+T09nbucQpx6/DHuuy9yeBdx2839Qqw6o7rSDuyc4ZuVSnFKeSz/1Y+4dOMyhQ2PctWMLldJOJTbKTb8IZYatT0UOJUoqBFcR/4KGEqWEuKlUpEQENdBcUZSmYqzivkwF+mAYGJqldELTNUQjVDCJUDr31IoMRTyVt69I+umiUEV7xWclwoeS33SJX04RZwN53xGnpJOSxEJPDYkaZYJA+vfAyQlUQxQ/G50Mpp4QBraKAhtSHCixRYFghFWiICFKUzyJ/opzUOAKqUYYaRhGhB/Ja8cUfx85TUQbcb1JBDRU/XNhLDlZH1vsheL+Mgz0UFeAAdlRceTZWlXRhuUcSd2BZUks1lLUVzQRcCzimrwnZqQOUbkrxdwoxyltlIjjUEVwTSHNSgw2lFywCEASk60rmEYi/YIJlOueIiQHgSKaKBFWos9aQyLG4AhZN5QOuRpR0FBdqY1KDV36DNNUAR5E3U0tEZlsTEFgRBaBIeKioeLR2K4S9eR8ZiRnKrCPIMXK59H1OrXJBpr0FfolJDGtWakC0hi2SyiQi4ynjqjriiNUzmWMbYXKddioCtXWIBYy7uQYZiICGOSyOfIFC00cgWlKGIqLVPoMbXRdlh9jSBdiGOGkIY7n4Fki4KZUxmsYRk6JZGHFJw6rpGEsLRTUAwFIGcrVJ52ICiCS1NFCiUzX0B2LoB5Tr6S4RoovEJCoCgIOEedclJDNuthZhygp4msR1YaBj5yrBpYekLE09XtLl55HT2LrKUbg4ziZKRE4lP2Pid0ET2C3Zla5GMPAJ4kr1MYrSlQ08zm8jEHGCEm0WAGGExH2xMWq6MNZDCeLaYqD3SUMBdSSYpTGFA08ToWfHIPrkVjSlaiT+CKagq5y8omC2PjlGrYhvXo1vPZ26olFLbVUj6Jj6eiuRSiVEZkCmqPjGrGK/OYKnnIMiiuZTIHQyhCIEivh5vY5hLl2qsOjKpptZcXN7SjhtVKPsTQLz5Zg8ezMzuz8pdMkujb/a85MYl7za1NImenx6TdRIqg1hTwRn1rdbq1E1+nb1Pq1uT1N0ay5Lrnxku1ofk8ELfnaXG6TmNsUZZojol3zsea2twpbrcTg1n1rrqt1ZLtE1Gq9YRQBrVXYk+1p3eZWUbDZ89cU8pria3ObW7dbntvc7ua2NvdbpilaipAoAlRTbGuKg/L8d3zkloeP7fR9kWVLdLvVATeT6DaTANY6rcKuLEvE2dbnThc2m0Tkma7Do7n0mts1/eebFNzmOlvPgxyHVkru0RyfR7s2myJzKwFaiYlX/HCWtvt3KPrMCod/f/NoEm8/8BcId39KEPzvFAEfrWv/0RP5Mhl0O1I3gbZlKxeAODLEoSBWE8OUnJ58Si83GwFBI6RuzSXjtdNRsMkZAdWKxHRCFdHV9JB6aZzJ0iCO7ZBUxhga2s+mrfupBiamKh8PuPKGW/nQ5z+P197Donk9LO7q4o3Pehybd+1ktByw/piTqY+N0KiELO7pY/Gcucpt9Kb3XMJgpczNu+7jlzdey7P/8WJGhqv0dLSxecd2nnDaBrykmw985BLWz1+GGYfkbQfhDAw8cB1j1Ln/wG5KQvRF4+YHH1C9V55r8Z5XvoKGP6nK0SUad/DwBCVNyJ6miuJd/ITHE5Qryv3j6Ckf/8TnxevBwOE9/PQ736KQKbLprtsJQ3GFGBw6MsoZG9aSlZv2QkqUBlCtsrNxUJW+L+no5MyzTqV/1VI2zF1LZzZLLnYpVcpKYD1Y9pUL6/adA3RYHmdvPIeoqDEyPELOzbF/1za65i3DkRs3J2BvvaRIqdJV1tHeSdSo84sbruHY49ZjOhn6li7h0BGde7bcSVemg675nVxx1TdYs6KgYCvFjhxbh7cRRTF7t+/BjyPqNZ94pK5cMsOJz64HhvnmjdfzglNP599/8AN++q0fMDwyxPu/c5kqWZ+byZGzLQYnqjiu3IA7nLB2Pddddyevv+QN/PT7P+eNT346GxcvYfeRvYrMWZuoIhpRX38vh/eW2HjiWs5aM58L15xJtt1k6313sPPwAOc/7dn87ldX84JLnsecOQsY3r2Vr37hB1x+xx2cdNG5dObnqWv6vLNP4aS1G0hCg6GJcQ6N7uf5p53FirldmGmdyUmBjZR57Dnnc+Hxj2FkYpSnnP1Y1q9exSc/9wNe9oVP8/Ov/45Du0YZqkzSsaTAWz7xYfbsGuOerdsJDYMly5ex+cbr+NpXfsptt95NVybmxR94P23OHF73nH9gYGeVxfOKREYvF518AXduuYeXP/kCXvmkZ2LoWRb2z2NBzxyqYZm5nZ3s2H2Iei1icGSU91z8Vl73yhcq90u5InFgi5279jPYGCcMIgZLw5QnDrJ/9y7md/Vw0Qvfzud/+jPlSP3xVb/mh1uvYveDIzxuw/E8Zu1j+dCHvsTqx5/ElT//GetOW8mXP/Aqdmzfx2NWrUbL5VUkVzc8klRcVxJJNKeEMBEtHJNEhH1bQrQWibjx7Fg4Fwokk4gzTuAQto1hGuoaD0V4k6hrYmCIu0k8Z2mAJcRSATNoAZapY8pry0nRAk0JPiIgiLNLYBYC/NDlvUdK/AXIEZtYThbdMJRLLQ4ikiBQYAJxUMWB+IVdLC1U7y/YFoH08EmvnZtTsUjHTVT/mVBf09AkNoSommCKeKJbihSrAB8So9XsKXGvIk5HC0sXMU/ix7pyOgaSXzYdrILUGJgYUncgsWRd9lf4qpqioabSK2hCzmyoXkPZfwIfU8ARhonrOTimrFNDtxMa9WQKXpAIFVbkTyEwpNTLAt2I0V2J5sr5iQgl6qrryuUmsWh5j3Y8G2lXNIWIKyRhIRXrliL62pkslmMTCllXNwmFsqRErhCtOq6cfqINSXRbV3RecccaBKGGpvC+4vbzCYXa6wqp1lUuSwGRxGGAETUQn1osUBCJtmoOcWyizF/iFA1SgnTKjSn/JJcEtibo2ryH7pokmkcYRTSCWK3TMCOyrkBWEozGKLEmAptUxwbojkPDySlXt8R3jbYM2axDJa5jikDt2dh2Dk2XI+sronOkCeXYwvRs9EZIVaAQloNnOAoG5SR11S2XakKXDbClX1KEQhFftYCgFhNXSzTKAVGcwTOEMF/GMLIqwu2HMYEAYRKNKLKIJsv4hk09lBiug6ll0RyPejklGBHxNcAWMU0+SAskNmuq3sW4VKIsfaS1QDkCZRnyG18oyZEfSUAXR6+RpOK8tfCytgIKlX2dyYmAwJHXq01GSNFpHcesgVfECCuKqpw3DbJOhjTjYEdjJG4ev56Sy4rfMVbOSLnlkuu1NCmuXjlO4ngVzdkiqMhL3sPKFamMxiRCaokD3KKpYCp+qUbkZ/ArIXElIokTQq2dWBzCUUJqyQeLszM7s/PXEHZbXXVNwMX0rrL/4tp6SJxqFYCmk2slNipuKVleq7DVfPxobrCm2DL9a/NnRTh8+LFPfPxhIaf5X9Nh1RSbZiLrNiPJspym620mSq5M83Hpoztap5vs6/Rj1VzG9Ohnq9NNtqE10tucmRyQrfvS3NbmPosDcLqDbv6C09VjcgPa3KamW7P53KbgpsS2pujYInhOF9Fat2GmbZN9bsZhm5HY1p8X8UyO43Q339GmdVnN7TzadjWn9dptEn+PJhD8J0HyofPQKmj/p2P10DKb0WgZ6Qxsul1n5+9r/jd0vs3OXzZ/aV/dI4lv73oUnYl/D7HfR03kC2MfK7VVb5fcr9eCSEXGokAnrjcoT1SUw0FuGqQfS9crBMGEKl4P0hyWl6GtzSINE1U2L61QfiA9U566WRuvVdGpkJT2UB3ez7b9uykaUzcU/R39nHrayVTDKm12ht9eeQ9P2XgCOafAiD/K29/zKSyjxu/vvYlyucrZZ66U0CKVRh3bc+jK58i2O+i9GquOn8s33/EBDlSGoC1i+8ARdpSOsOXQIc44+1g6u/K8+hOfojJaYU3vPNbPXcTTNj6WJ69dhVm36NHzfPa7v+C5p52JZhj0OG2q8Hzp/PkQmKq8/eu//S2NiYRssYjtOjzrJU8hMes4Ro5KDcZGxrE9i0VLFrPALTI+PsFNt9zHsYuWk/Py1McaKtb83H94HmZFqKYO+3fsZWLvEMOVOgNHxOnmcuFZ57FmwVy8nEexI8ua/jkcaPgE1UGMeobJWplvfOnb5Drm8sOffpLhUpkeK0OH7bK8f4ESGgYHjzDqV5iYrHB8n8tFp27An6zSnUnIBO2Kilou+Vx5+XX86pbtzOvtoTZapVQLOHn9eiYmJ8g4Dkdq48yZLw6XENftZjidVE6Rx64/jsXdXbz3da/mhONXs3RpF0v6+0nMLOWKxpcv/RDbDu3m7i07KM7t5pmPP4u2uYs4/ZQNODWf6+5/kCArIIOI3dWDTFbLPPDgbs7ZsIQ77r2HYT9ia3U7B4YPc/bxxzJRa/Cj73+LD37qLbzoLf/Gnl17OVwb5IUvfjJ7tu3jPW9/B4P6QV7/jpcqamhnanDdLXdw/V2bGKqVGRqrEqYGtYbOKSuP49ilK7n8qsvZs2c/RpiyfWCQsUmDrdf/lN987Uo+/I7XMK/X48DO3XzyHd9ieFLjj/dfxzlnnMJHPvM1vvHba7nsV79gYPgIL7zkDfz6llv46nveyw9//H0+f9l3ueC0E3n565/Lpq3X8s1rL2N+b4Ev/Mdv+dGNv2d7aS87d+/j7r1bMOIMv7z2ejYes4xCp8viNcfy0e9/kqFggozrUIvGqVRquHaBfHsvZmpwyroT2H3oIENWicAWPStL3+IlfO2SV7FmyVI+9aFv0LmwwMBEicuvu5ybf/ZbFrUt57ynPwOv5vLuf/uycv6kiYEujilFkk2JEl05lvRQRP2QpN5QvXkCpJCoNkFIkgToDVMJGSIwSZF+kj4UX41SHIFf1EXMExFQOr1EBFLsV2LDVe8x0hkn/WjS7ZeKk85OlONOor1BKKa/dKpRM5bti3GEuhzWkUyibmjK9eW4GWKJK2oCQIhwCg6WFWGYEgeNiFS8WHyt0iPmo4kw1ogwJJfrGYpoGtdLU8ReTbZF7ImC2JDtdYiTFMtqKIFO9kPEJ+maEzq4EHgN2yOIxSqYUR9saPEUdTYVVLmKHDsqyivryYoiagvooaIci3JwBIAQ1X1iP1DHxjala03kQpPU0jGNVCoI0amrqgTHdXGsCF9Ew9gn9HWMuIJ4tuqRQ2pnVCw1CKT7zKFRmjqf4qiMdIdQs1Q/ofQkijMvFQgEPqYQZkXky2fRZYVhg8gUoq6pACYq/ilRZ9WzJ7V1WfRoSnhMIwMriTHDKk62DZFq9biBLrRWOY61SWzptNOkW86TYkN1nZhapITKQE+wrARX4sOp9BhWFTVXqLKyfDm8geaRRg3It+MaIuDKNSX03JgsJZyMrWAv4ZhESFNcK8Zxs7ixT4MYyxR3p4mp+cqNKiARqWFwDJ1sR5ZakNAILJyihy6UeDuj6LMinkWBy7gv16xJzfDU8RM8ik4D9JqksKkHDn4YqNeFxMcdM1HXpK6HVCMP0xUitDgRRegTWImJY7lEzbisgFDsDF4uqyLQvgiahq0+GNItgViI0DgFDSEoEctXS6AjBmSy+KFGo1KXT+vI2AluFrywrqo2qmVNOfUi5YxtUAtsFfOVqHs8PkrGsanrBWxPXH8JetUnMPJo8vr0g6nXQFb+LSDieA0aE1hxiGZohIZDYgiWpDTV8yhOQa1Kos5PgteZkO3pJZeXK0jckAK4EThORHVo56P1z5fZmZ3/08Legf3/9Wak2R0nX5t/bhVHmsJbM3oq/wl0oVX8aIourYLH9K+tItTR3GFNx57813RTtYovsg4RDlvFmZkEsekOMFlWc/2t4ps8tynCTY9hyvPlOSKMNQXQ5veb09y3o4lyrY655tdWIbXpOGsKbq0iVms8+D/FoqdFaeUGU8jIzZ+Tjib5WTnn049zc3uayxLBbSaxTf7e6mhsLudPufiaQmFzX1oFseYxf/i8imPwIRfj0abpUmz+rPTlTT8e04W5VsFNCYpH2eajQV2afYnT+/daHaytx2l2Zuf/otPt/4L78b9bfHvZf/PxfjTnUQNvfPTTH8Uy5KZOTGaTRLrUxoszT6Pipzi5DG6uSHfXXDptjcTuYN/uBzELRfrmdOGlCU6hlyCokPGyVGqTDO0/RDWqYiYhba7Fg7sOYHs6Da1OZXiMwG8wcrjBO9/2Wn70k5+xccNJ/OK6K6iNNlSab9XyRbzlZS/j4je/haHJCp5pYaQapx/TT2p1Y1THecrTL+B7f7iJfYf3MVktUR2tg52Qcds4bsli2oo9TOqjzPfyDOwe48DYQfaURzF9A8/RmGjUef3THsfnf3YNfXMLfPuLv+BjH3gHV9x1K5msy8pFndy/Y1DBKCRm53QLQMOXW3R1bH73o9+z7eqfcEepjDdZ48QFi3jlFz7Lc089BXtuJ05DJ1vUOVS1ueaOX2EbedUPtmHJcVQaY2zet5dVbQs4UJ9QgpsYg8bKQrCEx59xKs998Rv4x9c8jbl9yxmtDxKPhopqenh8lBXz5rB/dJyCb1BJxKGUks14HBgaZv7SJQTjo4wOjSjCZiaT4cQVy9i5ZR+uC4W5fdx23yZ17p965plcce0trFi8BLOgc+ZJy/nGD65WgA/xbwTVmJNWLCOXdbnr/i38/MdX8ovvfZXrt9zCMx53Ad/94Q9568texuDgAJ//8eWM1iY4Z+MZHLd4iTrHYW2EZ73yPXzh0+/lKadv5Gs/+B3rTzqBS3/4Q3wr4nEnrMfQEq7YdCevf8Yzuf++ezE8h/v2DrLy2DVMjh7h8GSJ43t6MN0cvfk8R0ZHmQzrDOwe4fRTj+WBbdvxDBsvmyXf4WGmOkMTkxRjk8UbluOP1OmfN4fTzn8+P/v+59i3/yC5nE099rlv535WzJnLHfc8yMoV/Zxx5knk6w47x8fZ9uAugrBOtT7OFy/9Af/+ppczHjX4yGem/nHxzY/8OzvHp2LQo/UhOosFyjWf7mIvJ6w7hq27dnDLfQ/QVixwYGKYs449ncrQBLn2AtfvvI3u9h5GhkYoTZbYuPYEBicOMzZZoTRRwul0yfsZVs1dQKGzg+17ttJWyLB+/Vq2XHErLOvjNS/5Z9778bdyzKpjuPzGW/G0iFIYs3HZMTz/4ify+U98h3/557fz75d+hFzJZvPwbjp625hvzud1L34+X7z066Q9CXuCIkkYETfExSZQTINUYowKkDHlSBMoRppMwTEkPqg6+bSYNBCnX6KEBlscbErM0NE0gyTyVXQ8FHEtCZTgZnkSB57q8Ev9CBwbTbr5RL8QqqwoE66nOvLsOFEuwUzeVcJEmjiKMCsuOUtEwUAchrqisIrjjqhBmDrKiRwLZ1RcSyIqxgmWKx9AZNA1X8VsRbmSOK+IHYGATR0HXbr80kjFbIUiG0ss0hB3nzi7rKm+Oz1R4lQaRIRxhO1l1M+LNChShkBmvLyp3K+erpGEQkoVsUqQpwI3iZXwZwghwnXQoilnYb7DJBRasLw/NgRaEGOIOBfEWKrU0FCxXAG8SG9fpIvrcUpUJDbw9ZSMUHjTRAkyhmuRBCFRONW/ZjviAPNx8lnlBBUbnSmCatXHLLhYEvkUYS1qEEuXYU7Uq7oSWTWxayqysIhDD1F9MyKU5bCTCRWxDsIspuErF2YsFQ8i3prywU/8EIwlQU63YcrVZIJfk3dRpJrNc01K1YQwlN9BNRUrLWRNqn6EZ4qc6mF60mOoE4r7WtzhCjocqZ68UNemKMRCRg41EnGdy3Ugx03XpmKtSRXT1qgNldFynVOO0ofgJ41Yp2ALOKWE5rbRaEjsWldxYVuciqGDIS5MsRCGKakrPY+oiK28oZoieNVF0pRdEjHRIrGl81H2WeLsEqWWw5diZiw0eWfVLcJqQ7k0JQrclhOHfJY4qSG/AETYFkCIfGAShb4i+lpRgpXLqI47LQnVBy2GFpPVQ3xc1V2b1SokmkmtKpFfj1RgHqURNDs/Ra92XUIzxalOYBe60KKY0qSPodcI7DZyhkZdIsNteVK5/u2UemyiTY4rAq8Ir/m8w3jDVU52ge/4jRK61Y3mhQrI4pgmSVSbimt7OkFVXvsmuiXvEUJfFmBNnq9eOgUHmp3ZmZ2ZpykE/Reh6qF4ZivRdqafa850wETz52aCYcjfJd4oFFaZptA2fR3TIQnTRbrm4004iPpei5gjouN0QWn6Nrf2rzW3YabtaXYRitjTpO42vz/dsTUdqtEqGs10jGbat+n72LrMR4JuyIiDT85r67JnAmc0BbvprsI/Z1qP7dEgGc3j27pvfwlR90/N0cjKMxGNW4+9uD6bBOBHmmYX4sEvbXgYsnI0qnHzummCQERIlD//Pbh5Zmd2Zue/R+xrvtf9ue8Dfw1J938FXfeLX/0M1XoDx3HxJfqWQi7vMFmqEqo+oBzdXb3kCwVylkMjGGVyvES9HjF3wQq6O11io6huoCuTJeq+xujgXjzPplwaY/fe7fipyTELloIVUx6bYKQyxhnHHseOXTvZPxGS82oc39fPZffeT29vkaW5XrbtO8D8/l5uvvkOgjDG7XZJR0JKekA+l+Hn37hMbf9XP/8htg3uY9eeg3Tn2zk0Oki72UXPwiyHDkwyWBkh53nqhv78E07gdW/5EB/92Dt461s+yCc/9K+88e0f5gnPOo9vfeJz3H3D9Xzr2l/TaXUzXBpnad8C7tr7oAJHYIngqRgMLO9bRFBp0JNpw7ZtDqRHKA3WVIcckclTjl3P5sZBMmnCDTu2qe6qBb1tVMoRXofHY049ieuuvoOVCxew+/BBao0A17QYiyc5sXc1t+54QAkRHW4GQ5dyfVtF2zry3WzZto04TskXc7QbNmGasPS41dx02x30d3ZxaGyQjGljZLJMDk5IYz1PPe+xXH/3fSzs7KUW1jg4fBjHKxDWEwrtOsetWsnvbridVMijYUoHjnKStHd0KAqwZdicf9I6XvfWD/P2176Su4Z2UD1Y5fzHbKRzscOzV59B91nnAhWe+bwX8pFLXs4vb3uArs4MHYbJgs4+Jm2TW26+hvb+OUSHEuau6uHzn/0hcxcXWDl/MXkjx67hfapbS6iaEpm2TIdnnHcae7YeoW/JIu66707KpTpnnryRa++6nZOPW8K9+0Y5bs5C5vR1cHD/EV791vfw+tc/h8985ke88pUvoKc7z44j+1h/3ArKlRr7h0bpMtsVdGJgYpD3veC1XPqL75BxPYYOjHLReadz592bCVOLpXN6FVn1t7fdzbEreli3aB33Hj7IKees4u6rdjEyukd1J5pRypOf/VJqOx9k22idO+67gTNP3Mi1m++kEddZ0LMAD43eRQu55bY7OHP1Oq7fuVnoEZSSKn2dvSR+ncXz5lHIZdm8exvPO+8fOLx/H45n8MOb/4BRSThh2UmsWJ7h2Re/m9e++cUMTQyra0jIy3UaCq4STfisX7uaN7/kEp59yas4duEKPve5b/Dtr32C5cuWc8oZ64i3tWEdU+CD73gzmw/uYl4my2Gnh6jSUCAZ6Q+TmGscxFPgBXHjxeK6m/q7dKOJUCT4gzAEXT4ZUL36EtWV+GisSK2pUHZdC0OIpiL8COtZ4AuGp1xjEm9NayKSiXNNerp8NPHtRdKtJnFWufZNqpM1BWEQ95KIL2k6FQ2GiMivkWo2uhB0TZsoipQ7z/Mk1ymCT0JsmZgCfRVlq1on8ESUMkgl2mm6RPUIzRChKUV3RDS0VHzTtsXtJ8CKKRfcFIlYRKU6uiO1AzXihnQGmhipL5wJtZ+hBhlH5EhJR6aYurjefHTbIQo0BbkQOqomNN1UnGwxlZoAKOT1LkKd1KYFpLqGmRZI7YBYFhqXlcgVx7bqUZNIbiJxV0Ofgn/Y4jKLCBIXYZRI52OoB6pHUOLFjuGpyKq8x0t8NbEyim4sDjTldBQ9T9cUAEXcZ5Yu5zqSAkYV/TWMRMGQ5D3FMFxCv4YjAmLgE9viRJPfGTaOuLyDBDtfIK2OKkBFKP2KWlXRdJ00oSqADk1TPXZho6pgF3ZqE+niCjVVL54Ip5EYHzUI5fpJpgjIEn3VtYAoMHAyphJDp6LfAmkyiWuRes+Uy1KrxuiejxbK9WdiF1LCiiXGMxXDddI6adZVwBw5X7oQnssC6ggUpEV0VE+gMkmKk7Wp1ORqbSiIhZckVBuBEpoTuX4FvSwQmMAlSEMysUhaEbYAVsTaGrkg3Yby28ifxMy2KYdhOFFDb+smraVoaR1hlpgC/rA6iRJfVU7UIouM1yDS8sT1CnbGU25OiSOLy8/3GxiGRlQO8dogMHLYQuKVWPPIBJ4bK9CIEHaDahlNujMdg1SAKYEIz+L0gzQzh7xRpV4aU9Fyx24j0QPlspXuypqfkMtbygWchoF6P4gtl7g2QXt3kclxcbNq2KaP2GB9EWXL4rzXSaJIidZ5y+ITn/3co/HPl9mZnf/zIl9TxHok4apVtGoVcJpzNNGk+ZxW8aN1ec1pJdu2Tivt95EEllah5Wj9atPJts3vy7Q+Nn05TXGy9Ri1uviOtp5Wmm6reDi9t3B655zALloj1K1iX6tg9zBYZAbhrEnVnX48pm/DIx2rP2emE3ZbXZB/zjJkO/+S/qrp185MfX3yVXoIZf9bCdCt29U8dhIf/uLkZ/6T2Ck/I9Hm5jTdrtPP3dHo0NO3Z1bsm52/Jyrs34Jk+/c4H/g7oe/+zUW++w4+wA1X/5GGRHKFFJkYZFyDWrWK6WZJtQzzF8wna4UKRDA+fJjJJGB8vEbPnMX0zu0i9cuEoU5jcpSTTlrLH/54rYpUlSYOsLSzg2vuuRfbyZE6MRmrh9W9LtsPH2BeTy+79+4mTRJKtYRyOKk6sBb3dnPPnl1sWLCUgaFhJiIf8eiEmk8SxEyGAcctXsFIbQjHd+jrns/u8i51kzN6eIKOQiePPe14rrn6Lt70pudy7W1bueHaG7D7enEPStdSDq874tMf/zave+UryM5zqZcn+fTHvs3jn3Ku6pc3sjqJ0Czlzlf67xupmIwoJC66a7OkvYBRbGfXwD4W9vdy/9Y9NBohcxYtYuLwQc4/eQObdu6nHvmKiHvihhUsbMvR1tnJH26+i0alyPKFNjfevUk5EJNGwste+Fz+cMO1GCJwFTwG9oypsnRxtEw2Uhav6uP+e3bjtXn05fLU/Rr9fUtYsWYp27buZffOXfTPW8AZG45j64P3MjauccuuLbzkaU/liiuuoX1+F1se3Km6tYq6i9UukJU6BcujmlQJbYvKWJViWiDXaWJjMVYqccHpj2Xb/Q8wd/EK1h57Eh/9yr9z4fqNdObnM27F3HbH74kr8N3vf4pXveIDLFoyh7e97RXAMl72oov43Cc+wq7tA/zrBz9BfkUbTj3L/gMHefKFZ9CR6WBkfJycneHWezYpR+icuXM459ST+fV1d7Jg/jzSqMTQSImFBY/evj7l7DI8F7NkcbB6hD37drLm2GM4ZskCVp52It/6yreVuLj90BArly3gla/+EI2Jw1x73c9h3GXlxoX0lHW2x1U23bqZH9xzFc9ccArZziI1f5SDNZ9jTuznxpvuwa/HfPkLP+Tf3v46kkjj3NNPY3BinJ3j9/OW17+Tf37N23jF85/C5nuGuPL2a1h8bB+33bGFDeuOJayMUbJ0OvR2Mt0m3XSya+8AR6pjjIyNki0UqJerdMxZwtDoLvyKOIZi1bFVm/SVw83NSLeYyUlLV9Mzp59rb7+BrnyeU48/Cb3bpVoa59eX3cBEUiInbr/OlRT6+/jDnVdzyQvfwMGdDzI3b3D9/VtZmz+W+yoP0J/p4VXveC8fuuRfGchUGJis0ZGd6nBMfBEDNDGeIZYpccKJGykwsphxA83SiUREyaYEiaWihNIpJq9hSarGAlhoCOk1QsKZohAapk1Q95WTT9XliZPPkOVqallT1joTTZP4r5BLE+VWs81UCV6mmaBZnrLKSeRShLBGFOFYeRJdCK4pnlYnTHOkgbjERAoSccfFtELCuriL4qn+OmMKiFGtJ9hmQqxllWgZles4bQZRfYogmyaRct5JNFHeV/xQx82IEBkQNWIo2Eqks6wMoXJBCjCkjpMaxCKExgKSELprES2uk6hoscRkbfXeGAay/zFpJK64SB3jMGiobYtTce1JD2BIEEWYVnYqRisHWKAgaLiGkGIFOCF9ghCLBiixTt2iGjRwpUnNEiHHVZCKhh+QczTKgYnnyXPFuSe9dxKVjUHIyYmpeujCWJxsEnm2lDNSWCPSBKf7KZqRUvPF5WjjmglJLN2mBokrIBBddSLGuqbeC61UV66/ShkKxZRGJA6wGvVAx3LkmonUcbFJaJiaojvn2nJUS3Xk4vfLMV4eqg0N9flJI8JyLUXITbQGaBk8gXpEGqYjMI9YibqpEG71Ko7mqa7DqCF+Qx07Z+FX62Q9aAQGtieioIUeRaRRpNyTYU1cmw3s9gz+pPQDCgG4qrordb9OkGgUdJ26dEdGEnUVMUxAIQ52NsCPhGgsonSeeqmkBE+JojuikiXiPAwhFrpsA5CI9JQoLaKlYcX4iYlV9zHas2iNENNOqNZ1ctSpybWaJKo3UDRDy8vilwRIY6BLIjcRdEyJ1BCSsHTh6VhdXVSGJ1TfoECvpOs1tj1Sv6E+PMs6PqGWUzHl1K8Q1WoqQu+05dFNnzS2MDyPcHKCABdPOi/TDBpVYqH9mtLd6aC7CWnqKBiNxO+dYifR6KCCfkRODieuoWdEdXUwHPjSR2adfLMzOzONiBat7rqmUNUqZMwEIGgVOVrFmaaoIjOTYDNdYJtJMJtJ5Jv+PHHSNd1ZrY8fbVrFuemiXut+Nl16zX666fv/SMufLjI1Z3ofXnOdTTdg00XYug4RniSOOv0YyPNmcuM1nyPfl/MhN+ciVh3NGfhoiHozPX/6trQ69h5p2fKYxMAfyd33SI7OVlHxkUTpmSAwrTPT9dRKNRYxXByATffiXyJgzs7szM7fr7j2gUd53X+LfflzRb5HrZPvmsuuUW49VZzv2XR05fCjGu1tRdWnZRZdRSNMvG78JMUX10BVbnxi6tUxxicq+EHCRGmMg4eHuGvTZkmQkfGgt9DDfbt24bkZTDPmMSuWsaS3g4N1Ifh1MOGDke8jcTrwsm20tc2l2J5j0K+pZfhRwEB5lHK1pvqvOjs7GauLqwWKEt30qyxbNIfCHA/TkdL/mCDQsK0cB/cdoWYkfPrLP+F3196EZnvEExOYvTlGsod42bOfxIff904m02FKQ8N8+j1v4+Dm3/K0x2/g9FXrOHPlOkXRNYQcKmKfpJ2wGEcK5jVu3z9AzssxOZFyx/07qIUNuua2k5mso+smd23fS2hUyega7d0Ouw4d5D/+cA3b9hxS8cWdg3ez9cAAi7oLLMsX6W6fy62/u4O+7m5GJyaVWCmkxVwmy7r1J7N4wWJKDY/FCxZyzpq17DsyxJzF/RQ62tly9x3s3LOfYmee1Sev4sqbbuPW7YfZcnCXKuMvD5eUC2n7g3souHnyxTacnAcisKSGVLIxPFajaPSwbt1aso5HR5xh1YqlVCYr9HcvVMLDJW94G4899zxczeSuTdu44vYruPumqzn3lHNYtKSPd773s7z+1S9i4bLVfPjdX+ID//QChpOYZ/3TG3jzhz9O0mMysnuUYxb1kXFM+vMdnLBoCRPjNU46cSWrlnZxztlncsa6ddxz5wMcOrKfI4f3KSJxvVFB785x+U23c8M991IZH+GmzbeRz5ssW7aCgf0DXHfrbVz+g8t42yVvYt9YhTj0eeaFz+L63/2YD378PTx+7XL++MA1XH/97Vy/9x5+9c1fsb9yhNM6FzHZlbDt4D4KVj/dHUX23j3Miq5+zj35ZJ704nOZY7Yx6B/hpk2b6VzSzbb7xvjCpz6Jmy3wu2vvZMvofTz3lRdz6733c/GTLmbtmkVEVsKauT0MjBzhMedu5Fe3XsvO0X30LZjDqpUryBV0/DRh//B9POGMM5RDs7/YTn+xj/7Fnbz15a9U0Jl6PWRveYgfXflLUkKefO7JXHnTNkZ3jXDLddt5+bOei5e1iNKQMBPxute+lWO6F/Czb3yDK666gYUnnscDW7Zx9/AtjNQnuOyu6/jwv/8rg4X9lDSPjFNQsUeJ6ApwwxDTUSCOO53UlZietKz5Kq4nIAA94yjHrq3FJJoIPYEyMdEQIEeK7QgsYSpWKo/7kY+ZiZVzUWijoh+mAnKQvysAh6h+qXIAOoGPLqqSJpUBDoZtEsQmiUQspQPQcZTzT/q9CGvS9oUlQILYVs6jxLQVMdawrClXXVUEP3EcSbdeQBBYVH0RfMTVZhH70osn4mVE6sdKSBMXo9BRTVfHsx1MK0E3YnTpLxWlTv4fpsLPIBBIjrxHpKYi5UbiAJRjgqWIpOI81ATsIfsp1F+JLvvSHWhgSMQ0iZV7UN5PxbEm3W269LqpRrlERZcbQYCfROgSQRYhR/rx5PiGLpFpkaT+w+5LkjKubqEbLolEc5MaiabhMiUWuaZGIB1ukcQxddUNKOKnH2iKhtqom0rYFjKsvO4EUqybOeUYFJHWzlu05UWkkueJcGqq6GjSqBNp0rEpsBNx24lw5CDmcC8n51qckFOE1Yx0cdantF1LoszSr+gLwMSjUZHjL5APAQhJ/2CCZ2uIZCyRasuVfre6AodkshJjTnAsDV/Oc1ojn43xXIGGeITiyIxNDNNU4qqIslK9EATi7IbUSZUbTYjA0lMosXXd9dHbhYgs3tsQ04qRB23pWzQMslaWhh4rOIvlVtGzbcptTSYk8TXq4SS2ZuOXSthmNBVTzeUU5ET6A5Naog6FbJuULiaNioLVmBkpyHXIi6gsLr3QwQwjylUd0zIpS4mGFhKEAThZbNemMl5Rvyc1R2LgpnLHBkabeg00tJwCjFSHx/Bch8TLqti4arvUfYJYHJPyaVaK45hYiRCoffV7uNjbiS5RZCX+uTAhpPRIxb4Dx8bWUiW6Fos5rLY+dCdDXEtIAxHILdJ6Dc0vERkZrGIG3ZfXSKLqHzrGs8RSvDk7szM7M07TpTRTN1xzJFL7SCMuqVbQhvy9+b3mtLrkWompzc6+6etsCmOt29Mq8DUFnSYgo9VBNh34Id9rrqsJymhd38MR0pZtaW7f9B636VTb1m2c/vcm9KP1+bLOi/8w/2EISGtv30zx21aBqbl9R4vENgnCcuxbIRqtfX4zzXTAxF86zXM60/a3busjLVsea3YAHm0eKbLdKvC19vAdjcbbPL9yjkQ0bRULp5/PViel/PwLrR9PbXMLxXj666d1OdOJzLPzv6/D7X/TtszO/06x/F3/j+ue3tHXXN7/hu6+R83J96Nf/5xGvU4cSp+PrbrYJCYpBf/S6eN6Gpl8P7lcDihxYHCE2uQ4c/oWEAZCkBSSYJnxg4dIpLw/qKF7DrlCG2t6O7n+/k2YhsU5jzmHTbdfw0tf8Vb+5cMfpLu7jfasSVumwOD4iCIc7h0/jD5SQ8sZDI0eptDRx/33b6K/dwGr+zr57R13USwUqI6PEToGpm5y1toTuO/wNr71sZ/wnDc8lR99+pdsfXATb/7wOzh56Srmzi9y8233Quzy6n98PLdsvo3hvRH57gI3PngvbXY7Qb1Ce76N49b2c8ttOxgpl1WBeO/8IhMTAmyQmFrCnPYeBicHOaZ/PnsOHubkRWs4Eo2yb2JM/bxrGngZi26nyPyeuZTHK2TnFMQ4p+iSfqPCnL7FZB1H3XRfdc8dHD4ySMZz8EXXmIzJZDooSieVOKgICLyAkUMVNixdTD3ysPMJo6Ux5uezrJo3nx9cezuOmWXVkn62bN+J7sQ85ayzuePeexXoo2xPiQujI0OKKPqqZz6Zq2+/l52TBzlt40YODY1xbE87v//dtXQvWUzvvCIXLF3Dzfdu46b9D1Kr13hS3xJ2Bw0lYjzuvFP43Nd+yGU//ZGiJBzZfi8/++XVrDlmEV/45W/5yXcuV9fVrk3X8JNf/IRzHnsOW/bt4Ic/vQo9p/O2576Ad3/jGzhFi3e86FX87g/XsXLFSgqeTzXVGamN41ciHnxgC6sWLGQoDEh9n6Qe0begMAXqGBllbXEp+Tad3UcOsqizi/sODNGd11nSt5Dbhvfy9he9k3d86E3M7+1kaFCYylNRxC++51287xOf5aVPfSq/+tmvGUaiebq6GV0zdy7kNcKDEUcqk8RuilWyuW7nPaxd2Y8WmTjKOWbTSCdYOO9YHti+hf5l3Vx79/289pnPYXx0hNKwz4te+Rwu+/Vl/MfVfyStRRx/4hoKscu9m7ZwylkbGKqOkElcxtIxTpj3WP7jqu+p2J90WDmpxaL+uayYt4qsXWHZ4nmcctEr+YcXPpE0r7HQ68DMFch7BboyJr++9TYqfo01S+ZTORzxje9N/YPn6f9wAWsWLFG9lpOlUVb2rKRnfoafXnstb7n4mSw6/hR+9bMfctf4FFAgEedevYF6a5FKviBRUV1x3WmRrlxEIggpgeQhv9yUgy3FUt+XKK16ghJBJB4rXWSG6apON3lSKNFQIfX6MUEKtiiKia5itiJUmRIJtTUc6aBzTGqhi1EvYblCIbWn+s+8qXOZ1iWi6qhGPD1NCUOJFYorTqORmBTyFo2yEGKFCqwroIiizkY6icRCJQMvPXmRRJKnnG828n2fOM1j62UFaxFhTUAlkplPbYO4JsRtiQ8LKVg63DQVZ04a4moSkqtDnDamSLUi5kl3n/SbajUlDEpPXSzbKZ482yQME7K2fKiRqOhkruAwWfbJSCxaF0BPZqrrTjcIRGyKArLZPGEosWZL/V1iolHiKlHNjqfgGV4xS1yeQPdMoiiHnpSIYw/XSVXdgi7xaMMmDqRr1MNzpt4ramUfS6LU8sYl60ticlZKTZPzKGRkhyD1FWzB0O0pB2Iup7ZDoCBCREbciKL0xr5aZsUXB6epuvDkAyWBfQhoJJwU0UrcYkLqnaL6NkLhlAjMwsQSWrC4oRsCusiiGZHqeMt6KQ1fBOAYM46IZX+tmFBcfg+5Pk3ZX4l2S7+olqhocCOwVVdcrElXnk9UnyLIh42Y1JT9MbGthMlJl3xeHJg2UVrDsvMYtSq1NMIRIEkuQzgpLrgYN2eTiGiW2iSNGq5rE2g2phMS1DVMUz6YmiIca/Uavu4qd65EzZPIRZP+PL9OlIrTNMXyq2AWSI26crK6nq3cb42SdKVmcdvyJI0JGhUdV/eV29zVAhoiIGaL6PUxrGK76vILxidVR6NuemiGqNIBidtOMD5MtmAR+AlGtpPEkNfcmHrN23kbv6YRGSJyx1QnLeycvEYcwtokcaZIxoipjEPGrhI6eax4Ej8Sd6SNa2iMj00qV2oUOFieiZ6xqR0Zp6fXpRJl+PrnZwvQZ2d2/hJHX6urTqbVbXY059fRXE1Hi4bO5OaTme68arrpmv19rc64P1eUmh6TFbdh02nY7G5rdQZO35/potL0fW3tA5zuFmzSeqc766b3Hc4UjW4lyDadcU2HX2tEt7msZg+fPE9+7k/FSB9p/pRLrblPMzk9m668v6R778+J6x7NmTg9yj3951q3dbrAO911eLT47SNFuFvX23T6tX5/1sk3O3+vMxvZ/fudv3lc97u/+IlyzeTk5lWXLiTA9PArFRXXrVVqxJkspttBR6bB4KEDmEaOYk4K8TXq1SMMHNzDv7727Ugu64Nf/xxZx6W9s4+oeoRSPcLzJFZYxZSeKj9RRe19S3vpLngcHqtSKk8SlKtMNsZUT1BYazCyew+hC+eecjxX3PIgoxNjZBKbx65bz+Llizk0sJef3nQDS9qynLjhVH582VVq+ZqWMH9+H4cqQ9QPiw0loa+9h2wmZbRc59z1j2HELpIdGeD3e25jTcc8thw4iBU5RHrAkp5e9h4exeu0KFoema4ihwYOUS0FLFrZx8Dhw3RGWXXMxpMyG447m9vvvAU3l2VCG8EKdBphQKeXYaIWkNMt+hcuwvRizj5pLTf+cRNm1ia2dGwcDu7bzaLlK9i8bzOL5i1jcqLE5FAZN2OoEvORRglfi3nKmaczuHeMoRGfrYe38awzTyeZTPjlnbcRWg3sVBxOEXPmLuXsM9axZ8t+qtEE2x/cjdZrU0xdqpHOyb0dZOYuJUhKXH/vZsqTJfL5HHEYUDA8xhoVcpar3C+aYTJ45ACnnrSe/QNHKFgJ+8cnKXS08ZpnPllFE2+58y5+u+lefv3tb4AlViXpCkgY2HYHr/nwe+jOtFExavzT3DVYJ57A2z/6BbpWdBM0KsqpeIJl8c5Lf8HHPvZODD9iZOQwvfPmkTVitI4ehnbsptjhsefQCD193YQln9sHdrK6fYkSQbtWzGXvlm3oVYNMWxujpYN8/iMfwexcxbVX/ZKv/fgrPO3sC/nxVb/hk298E/NWHAPWfK695nvccu1dVEbHuXvkEGs6+1i0eKESq8KgyvGnnMC+XXsoVQK62vLs3TtEUovxchp6bLNn5AArF8+n6lfp6OwmKUccnpykd04bF5x+IQvWnszTn3chz77oqdxy5z2M1IYZGR3h8Sesoy6dYmM6N++5m45iG0cmhujv76Uu7qxqnR9++Ve86pJn8eKLXkLFG+XSr/yIOR1FBsrjRPWA7p4uejvnMLctx2CpxJ6DA1SDqhJIcnGWpz/p6Txw6za27r2FNJPj4me9nNXHJiSji/n8jz7LA/t3Y2UNHrfwBP7wwB30rzuN6qR0s0lENVJR3UjAFyLqaRKNTDFS6RITN16srg1x5oiwJhCBIBRCt/SDiXsPjChVDkVbiv8tXUE7dOmCEwqn4t2m+EGqIqepuO+k30+Wp4kYJa60FCudEoQi08QOfcJgSiSJzRxaWFcUV3HsCXRXquUSMhiNssiMSng0XQtNxCvTwkqEBiy+uER9MCCOMKEGy7OMNECzM9giSER1fF/DcT18AWqo/RMerEHGqtOITMxEtktDizR04Xv4BklaB1eEK3BNk3qlga6J2iZOQTGlScRSREKXWEQv6aGLpQMgwDTEySgOQnEzimlSXGRV9f4iceO47KOJSFerYlvS9Sa6pIljNtT7tMA2jDjGN02MKFbCmmHJ9lexJRdNdkpwlEipFkx1LUYSl3Wpx9KRJr5IeZ6uwBWW6sSDqN5Az2ZIlLgbEuGQlz67RkqSptR9i5yXqG7S1POU6ClCU7kSKfJwmKS42kOdiLqB5hgqhh36Ca6jE9hZoslRHM8liHW1TNsMqae66pJrRCnFdoegHBDIecAj44Y0qim2m1Kr+SRGG54jvZAajplSqlbxMq5yHXp2SEOzlTvUNSNCTWjIEjN2odZQUAlDwC+JrjogY83A1qV7Ua5DV8WpTcdHk/fzWB4TSbuhBG05rIHE2uNUxY4bdoon3Y4NcWk28IpFShMVPDulYVg4Inr6FVIjDwJ/MaWjsI4ukJkwxNPk/NkKuGHndGrVSLlpxWgntOVY+gmjAD3j0qgEWEFDvdc6rkO9IaImOArFbFKdaJBty9MIGhjSOegaNIKEvOMwVoNCPiEoieLq4E9WlOhWEydpVfo4c4R2nqg2SS3WyCp6MHR2ekwODqt6Colkx45FrxdSrdepB0LFTpFGw0CEfnH6RVUqFenZzOBlNUI51yNHiNsWUEgnVa/lFz7/qUfjny+zMzv/Z0fcSo8kxjWFDRErGgOvUd+fDs5ojbxOF8Say23OdBHxTwEvWqOWj9SJ96dmulDZKv7IvrQCOlo7BJsk19btn6mrrzmty2rtCzxa599Mcd/pQt707zW/3zy+4hAUkUwel9J2cfS1zl8CI/lzfmamKG6rMDld3PtzosN/ybSKcjPFzJv70IRrTD9HDxOeZ1jO0Xod5RjLcW2NTTfPZfPv0yEpTcBHM8Y+O4/+zApRf34U9NGCOszO/95pugOf97I3/G1FvsuvuoIwjSmVq2QzORU3kxtK0zCVS2R4xGf+vC7q4jQIDjA+BmamDS/vceKyRVx305X4oc38eUVKYzX2HTpMW6dHV+8SzKjCSD2kK2viN6BUHsa2u9Bdi4X9S6jWagTVEn6jwfjQfiqlOvW4ysTEEPOtDFurw7ipQ0dvN9t376bbynM4GGXJnEVMTowyWmlw7LI+Nt13iEa9ilW0yecznNi3iNt2bhMGBjnHYGHbQir1EocrY9iuxcn9q7h912aqQYQWRGRdm0XtC8kZRY5UD7JH1pt1KY/WsLosur0cXpxncGKE6mgZt+CAlWD5GRJxa2hy42VNUUKThEiIoeL+SVNMy0C3XU498ThW9i7gi7/+CedtWMeDW/ZzpD5OGxlGaxXWHbuMB7bsJXUT4lrMsUsWcmi0RK4jx8jQKLXJmjonitSo60Rmwj9e8Bi+85ubp6Ka6NRLFeZ2ZFnUt5RbN28mchJWzV3Mxc9+Ih+89CvKsTQvl2WwXGdxTw/37TugCvrPPeMxbH9wOxUjZPDICI6VYU6xyLZD+yRhx5NOP4cdD2wh02aTb+/k4OEjPPGsx3Dq6Rv5zu+u4FXPejrP+5f38JaLn8tpp62DepaX/Ms/8aZnPZd3fefbTE5U+Ob73sfL3vV++uZl2D9QUfHFQp9HX9pFd5rQMX8eY7FPfWSCBw7s46Izz6RmwsEtu2grFJmbMbjpwd10zekmGa+Qn9eL61qUBicI8xZeLodbGsfId3POY0/lWz/+AZ9+3zu4/vbdzO3J4hgaC+dtxMju5g9/vIPD+4Y4XC0RHh5gKCrQ5aUEukVf+wLatECJZo6XoZArkGvrZWDgQXaOj/DyNzydpZ3ncO01/8FZZz9PvYZ23nMfP/3Zd3nbv32UG++/jAM3bMW1M9y+ZTOrV67g8OAwx69eyc+vuZG5mQ7mL+hgblcHmw9uI2/NIawNoRvdLOo+CXvtBNf+5g8cGBjB1Q1FwxwdL7N0bh9ZJ8fcbJFK7FMwcuwc3c9ktcahg4N4vTbkdHRfpzRYkfQra+avpDQxRqCJOw8mTJ8nnLqBMHLYu2M3w36NammC9sXHKtdUUhOKrUREJTIq5rCY1JaYY0ORbA1NXLsS3RUnXUogxE/dQkt9/NTAsSwldFhWSiCvLXGJhYGCNCSpuN8SNInDxj6xcnsJAdVU3WOi/4nQJQYx2xUir0RBNQWoiKxYwTq0WlWwquo5eiSEX1sBF4R2ncQiyEnPnogaEU7qE+julMNOk0K3ErZEDwUKEjTw8g5+IySIHRxXAAkeplZTzi9x3bmOOFeFFpxRPX+WRC2jhIYvQpis21A1BtKrl0g/m8QUUwOLOplijokDJUz5cMRKqatjIclI6TkTgTIkNV0aIhiFIYnmo2k2iTjdwgBL4rgSd9VqSkQKqiLE+UocFdFSnI8S+bc8AS2A6QhpOFUuLN0WWISBbYnDT0Q2oRbHhBLDVvhk2WYRpBJ0J51y0NVTEtW/Fyo3pG3JsQkwRBBEV6KhgEUMI6YW6liq8W+KkKslNvmixGZTYr+MpnuEuvQJSp+hAfUKldAmnzGUQ1fzpqisItbGgfT9xUpc1hNx8hZxqKCZIjrm0exIUYUtS1USYmhVBO8i50pccJLqzkrP40NQGE/os36KnUmI6kJ7NXHdKQCKuETl/VF+x6VEAuslrEqvnUFS88HzVJQ19kUgzpPRSlQj+eAkIKk5mEWJZzsU9Aq+YRDXpSdSXv0CZsmS+BUlquqprqi64lAN4xC30K4csvWaHM8GtoiBcaA6bM2iRVwz0aI6btZhsi4qb0LW0RUpWkFBtCnKcuxmyGkNqlVDuffMjKleQ0maJQnEeV7HVPF4S0W/BXgTVkVo9PAbEUZHTont/mSNfN7ADxMsO0fqj5PmiqS1EnFiqQ5Bvy5dnEIf1si2Q6Ukr+uEYq9UJXYyMT6mBM62gkW9FBHnTGw9UvF+y8pTn2jguAFROcI3HVzTpxa14dUG0b02/DTg21/90qPxz5fZmZ3/806+6aTSVpdZ86ZRRL6mADIT2bT1OTM5p5rT+pgsT9x0TcFtuth3tD9Pn+lOrunrbwou0/v5mpFKcfOJGNMUMpvLnO4EbBXnZFqPR3O5RwNDyLpaO/9mAoBMF6Baj9lMQJHWvr6mg++RACqtx+ivnaO59GZyGP6/LO8veW4r1OVPLbPpvpx+3o42zWugVeibSYBW652hw3JW5Jud/5f5c8W5vxcoxP/rdv9vE3Y/8Fce95me17pv/y+i7N+8k6+jI6dupHs628llsxRcl2whz5y5XbS7Hovnt2GZJj3FvCoVX9zfy+TYfg5s3cwvrr4S0zS5+JlnsLx/GXZeXIAhcTUiDRPSxKSY76VYWIidcbCl+MgI8cOAkVINx9Uw5SYrb2PmbbSsSTaXZ9XyfoY1m0ymyJLuLsZHSqxcvJByGuBkc2zfO0DZjKiFPs+/+HX8wzPOorurjY68hx7AXXt30NHTztPPfw4ZM89AaYBKraacGm2ew8FDh1nXvQTPsJjb08uKtauZu6aPAe8IQ9qEdOszt6NDuZiiyYDS/pi9Bw7RtbCAaRuKKOkYDtWoTij9VZFFoSdPve5jGt0U7SyrVi3nRU9/Erl2h8jyuXXTZq676x46Qpe2Yg9nrjuNAkWqYZXHP/2pdGTz6G5Kl9tG/5xeHthxkJ58t6Kl4kZkLJvV83sptrVBkpI2Yn569Z3oGUm7ZYiCOiuXLyTjtLPuhGPROiySasKesYPce99hls+dq1wYa05ZQs612D82pOAaiRGzaskydg0OcfjQCLZus2xBHwdGDtPekeWbn/4obe0FznnaBvSeXgarhzljwzlcffNmPvblr3LhySfhtfXzuFf9I6eediL/8PxL+Ph730ep3uAX19+Of6TB49dv4DUfej9xGFOwCnz0LW/m7JXL+NnnfsP6E07h3V/4Dq/91w+zoLefpSuP563Pfxa/vv1GnrXiZDo783TOm8/2Q6Oc87jT6c8U0XszxNWaivV1tbWxOFfkvA0nc+OhAUbHK8xvtxivTPK6t7+Xc87fwP7Dkyw57hR2DN/F5usf4PYbb2Xo8CTDAwOM1W3aXAtTXEdOwtjgg1gLPObM76CiBYyUq+zbs4WRkUNUy6P86HOX87GPv4Nt92zlY+//F/7jMx/kWz/5NLYZ8KXPv487L7+JtryU8FucsPYEvnvF5Uz6E9x6132csHgR69es4P6tu3hwdIChIwG3bb+bg6MxNWuUH9z6Je75+TXEFZtMPkddBCA9YUm+k6Vzutk7fICy47Dj4F4OlIdplKt4eZMnPPVs1rUt5ZPP/SQb55zIh97xLorZNhY4DYYr43TM61HQluecfQE7twwwtzvL3uFhGqWITHsGT+KSho4mfWem9NkZCqYgfWIqZiuB5sRRhfwiIECoOvtM5QFLCQ1jKrqrWRhxQE0JJY6CVgiF1/REPDQIlZtMBDGhthqk6ZRgKFFZw85iJym2JwAPueZdEsMmShqkgYlV81UfWyL9b6mn3gDVhxHiHox8YnEg6gb1QES0hFqg0ZDtsGVPqni5PGkUKlqsEEcrdZ1GZKjONRFcJIYt9FM9EnedAD4sDFsa/1I0xyHyYwURyGo10sTHVt18KXHiqK416fxMw5A4samVGpCZijRXqiJCSodpgpOtPizEpGEJJ4nwnBBTyLG6OJ5j2nMSJXVUR5ojgI6SHH9fOdKky83BQk6LYTtoiUNiRJhOBk255SwM3cUxTIJShUSIsJ5EhwXUIRFq6b1zp7r7zFhywypqqxyZ5RJhUCPjSQep9K9J716inNV6VFcCpkSvbYm5GmXQHUW5NWyNWtUnCiRX2kYcNZQ7UkWmKz6mEMIFL2vGuNlYRX+lj1Hzq1hmhJY2VF+igC20sKSivqnbTSOs44v4p8XEoa5+JtU7CCMbxwwQxISdcSknHQr+IkqgXw1VFFp6IR0hGAu4JawrAVCEMnHoNUIRZcUyG2PZ0qMXYLgFkmDqGpUYrZEmVBqm6iqVqHTqmNhpTD4PE7FN6urE4riU45pzMLWqEq/CVK65hnKNp7b0RGbx61XScIx86hMlDo3QBtsjkt7HMMIK5QOPmCRIKORMOjuK6rUnoqpYVF35nWmZFJKGog3La0/AKUqvDSJcJjHiBo3IUu5J6YGUPsMwiCl6BpUkg5XTYbJEXK2S2rrqORT7bKM0Sa5H3JriotShXiWs+LimhLch9BzCIK/OoVt0qU428GsT6ndwkrg06iGRGRHVUvTQIJmQSHEVT8jVkUYqMfWGjVaL0cMx9Ew3sZng5B+1f77Mzuz8n+/mEwdaU7yY3s8nNyNNga/5uAhzqpNtmuAn328uT0ae0+zDa/boyXKbPycjwldzmdOnuQ2yDPlzc7ny92a3mvw3vS+vuW0y8nPiTGtuf6s4I+KiCD5NEmur42u6A6xVNJvuRGwV05qCUXPbmsuaLvA1u/tal9Hcj+kClQhMM50bOX+yjKbjUJbR7Jo7WuRWOc+mHa8/Z1qfM72/7r+Ikn9CtJuxx+8v3KZWp6US+lpF0IeW2dqL11y+nHO51o5GWZ7eKSmPy3Wn3JIt/Y3NkWux9Xpr7WCcCb4yO7Pzl8yfK/T8PQp8f812P5oC38sehV68R9r+R+p8nOl5rfv2t3BdPmr/Si52dTCvdxHz+vtZsXwZuYyHm+sAAVh0FOlb0k8mZzHZKJHUyxw+dJCOrINfG2dsYC9bd2zj0q//it9fdxUL2rpYuex4Oub04lkmnptXUaQ4qiqao53tontOB0t7inQWMugSZ9Ms5ZZInXbach30dPdhBDammXLG6kU89xlPJmdo3LdjJ5odk21YU87DQxXhR/L9L3+KW+/cpCJ/VqdHqVymu6OdxljAz3/7Iw5NjOH6GVYtWkVftpeaGdG/YhE37d2lom+ul+GOWzZz/R9vIB2rMHq4yor5C9i+e58iTcq9Vj0dxfJS1loW8+fOpx4FGIHOY5auZnlPP4Wsy9ihCaxA46TlRZbP72do4BA337mJ+V4nSzJzecZpZ7G0bwGnb3wM8ViA7w/T2eaQFE1uuPrX3HDHnTixQY9js3P/Idy8xp6xPZyz8WQMLwd9GXZMjjI6Oo4xJ8uJi5Yxr9jDokIPsVNXbo2xgxPkTIcvfvcH1I/UldvDSm3m9+c5MjpBx5wih3YfJFcosmbJMTxx7Xm0FfrYe2AfsRYR+nID3qBvTh+O9ChZGt/4/o8YHR/nsFCMg5Rj+45jvDzMjqE9fOTtb+PXv/ojw0N7ee0J5/P6t72HczeezJb6CFrD4Ppbbufs09bxy19cT/lwwPqlyzgyNMHB/YfpX7gcOMT2++7lHf/8Kp79zAuZHN3Pzn13c/rTXsVvvnsF37nt1zzpGc9nz87tGB7s2reTbWOTzMn0sb9RolyeYP/YIfYdOcgPv/cLjvHmk7ci3vaZL6lusqpf53kvfTGjI3v4/qVfY1V/F8efdxppoUAlOoIvfWZCVk0ajNUSxnYP4M6ZryK6t+3ZyoGDgzy4byv7R0rsr4zjasJ6qJD6noI8/OOFL+BQVOO1H/p3cl47v7v2VkUMveAFb2B+Xw/liYoSwyLXYODwIPuGDrFp8xYGJ0bRKgZ+WmHd/CX0FjIc3H2AnmKRqpuybd82UqEMe13ojQ4FpqhMBpx32lmc3SbX11z6u3up5APOWX8CfmWS933q49y4+SoO1/ax6dq7WXRcH1bPQk4+bh0nF5ZSrwe8+MVvVm6uQyPimLIVRKJNczitqJFxNNy8Sa4rj25PnXvRbUQ4swU+QE1FHKWXS3o4ExFFrQRT+vjShERonlGdWBPwjbyzGKqnzHUswlqCJX17QoOVGLAIUlJ1h1QESBzYIQ3qxJZGlEp3naUEGl3cf9ID53pIurZWFZKorDMgtUKsjEUYipAlFHAxBlbRE1Pto53P4+oRRijCuyRjawp0gC7ggABDk9ixoAdcJSQF4q5LJaoqsApRUEKCsq8cc/LeJVAUAQ6IUGmY8r4lsAMDQ5MPLVJ0XwQtT4mIErU1JUMcNVSnqRBwxb1Wr5mqwy9OA+xMVjkVa3UhghiYfqjEwUotUX1yqWEqEUVgD4msy3UxInmTs0h0V4lpQnqV6HRYmSSthuhxhCkiWhJhZYoEYUp9uKIMk76ItSoqLNFVU4ltEgXVooQwqGAq4cXF9w3l2EsbdTRLevbkMwUDIyqjSWccIjqaWGasHIdJdZJAXI3iyJuy2ynnWpQEkNUI9ATXNggjg0Doq5bAXRLRuRTxeOpasIjqMTmBCMtm1EoYuk5Hu6WupSiWfsNQiaha1qPSSDFccZVqZPQKXsFTbsBEnWj5jCbLeMMgkGipnSeIYkzDxXAsNLH/yTkyRIV1lRCdUMPNW9gSnfYlLi6x3lBxicxUhOEqjXpKWK9gpCHUxfEm4vSUgzEKQuxkHE1zMdyMihrHDekKrOOZBRoNm1Jdw43LWI58KGOQ8WzC0JiCgySG6iMNaiHloTHlzBMBXRyyrrg8jZR6AqFdxDQblB3pY0zxawG10FGuv3zBxhVQVBIp4Ib8Xh2vhjhaiUbDIBJaszpfgaImRwJ/sXSGjoQkpRr1UCPTXiQyXDSnQJA1lQjv5E15yWDkC2Q75qiYd+JHFHpdeXNQXX+mXmMicKYi9GFCbCQ4nSZxPSSfjUg72zBtnYIzQWliEFcy/bMzO7PzJ0f63NInfvJht9J0t5wIHdPdbM2euVZARavI0Yzyyoi4JcsQMa3pmpLvTXedyeOtMI4mJKG5DBkR65rPn8lNON0x2BQAm4JO04U3XRgUgU+En6Yw07ru5va09vRNdxO2rmv6Ns00RxN/WtfROiIwNQWn5jrkvEncWm4Wb37/5eqxo91wti5vuiA208wkuDWf0wrKaBUlHwny8V+WP5MTcAZS79H2ofWxViFPYrrNn5NtawVztB7b5rX2n8jG067jVvfk9PhyU7huglSmj5yP5vypvsHZmZ3Z+Z8R6b723yyk/Xc5Dh8tYMyj9q/kyHdYunIRtVJZOT7EZbNyYR/5znaiyOTI6CFCoTwmZcy0wmClzJFSlapm4XV2kensoNCWp7OtkwcOjZImoSqHr0rflOfSXvRUDK3oZXATiwSPxz7+GRQKGSYmfGpBQBjH5IwEL5tjojRBNdboyOe5Z+sQ3//1VSpGlLMcFhYWYsWm6twSYqTUXt3x4ABmaPC8Y07Azjm09bex59ARnMTgtMWrWdpWpEKF+3ZuYaxcQZ+02H3vNnAT5llZ+tvbmVPsJNF0yuUA17PYenBAdWlpErmVgv/U4rilK7jsrn3sPnxA9QpqHQn3VXexZ/IQeV3jyRtOIzc/w9YDR7h914OsP/kU9o4dIZ/vZdIqc+/WPQwM7mdicoQD44OMNGLGwwrtWkZFGKNYysx07jp4gDXL5vO8C57I8855PHsmDtEYLWHaprpBXL9uA4aVsm9ihELWZrBcYmLIJ2t5FPsK3LVnh9IoXv3UZ2DHKXMX9NGf1NiwfAXapEEwYauC+1pc55a997Hx2H4yhqf60HIdDmHGpqOgkXW7qI6HhMM1Vs7tYdM117P6+LW0FfI0Rsfw9CyvffO7iXIFsgURNIZZ0reY7rYOwgTKo5PUxgN+8csbldhoZEw62ossXLmYXGOC9euWceO3f0N/1xzWH7+RFz/tqSpG2DunX12XFz39cbzxma/i2ONOVTHQt7/rY1hRUWQhlpw0lyc85hQFKOkptBG4Dm6by9xlffgZm3M3PI5zTjyBIE345r+9m3XLVzFnscfHPv4N5dIMhiLGpZ8qYxNaPq7hsO64hcztX0mPpWHVIhYV+sg5Gdacegx3H76PLFmSWkrOtLjk1efSe8wivJVZ3vymD/KLT36Fpz/vEjasP47Onvm88J+egS2O2LzFRWecRm8xR/vCPH09PUrQWLFoMaVajaKWo0yD/UcO4+VF5C4STcIF6zby9S9exqEjQyzoNnjOE89i39gQHW2rCBf0cN0DW5mI6/QWM9yzaQulsQYvf+kLiIpl0tRjggNUBsY47Zgz2bJ/J2GXTk/Yy223/4SLnvlCdu+7iXyxndCosb80zr1HJvjwk9ewPAOFepVEyvnFDeU6xL5O3U+mYBrSvxU3VG+hdLgJlCHWReCTqKdOIlFS6cITD5gQa0WvClHU2JQG2JqKNlpxSJKImJQqgqiCSiSJ6iSLpZ9NhP8E5cKLhMAa1JVIpkuFgFTX6QlhaCrBUPr1qmVfiSJBpKtrJYw0JThKl14lEG1Por9CfRXXX0iYmOI7VFH0KKoptyGaqC8iEgkoQYRGfUpgS3QcLcIxBRrSIFG0X3ERSmRZoB0Sw42EWSp4B1JdhCOHJBaHmrjoshgCjlDWPsEW67iORq0cqeNsWLGCcGh2Gxlx7omjUiK3uoNnStTUVN2diSY9iBGI+NaYwDRdJbhpIqhJNFdP0Y02QolVY1L3G5iSc81oOF0Otu2hpXl8X4jauuqjSxTJ2EazMsqwKfthxXV1rAQmoWsprl5TLuzIy6nz2Eikq1EowbHqhxRByTJ0YlMcgnLsxFWokepTHzDE9TqhrWHKNZMXd6hNoAuzwwPDoDapKfiDJnHdmjjsTII0xMo6VMYTylWBsUw5KmM9UkKVCM9y7RiuQF80/FqIKQK0FRLXJ9GiGtkkUB166NKx6BDVJhSAIkmqkiAmrVeUeK2blop4i0sz1YMpYIafYGc91dPYcOQ6A1PccXFC1jNwRCzT5SrXqU/6qrdQCwxcquiGgWG5Clxi5kXEFXekhpbTMYVwm9Rp+A6xAGgE8pExVLQ4m3FUHNvSYkwBe4jZLrYYjyxysY/tGZixT6J7pJM1JU4We9uw04qKOnsmBELYrVaJSj5WVKa3PUc5yCq3vJ4Ry3dOVTtYIsxnUkWBtxyhD0dYUY0oaJCV61sgNZ5LLo2YHA2IqpM0KiOUq1X8CdmWmLQ0oSL9RkMnSjJ0dQLtU0538fiWRyDVHHy/jlYqkWomuttB1/zF+FNd+LMzO7PzZ4w4wkTQmC5INEW8Vmdea1xxurDVhFA0XW/y33Qxb7qAJSM/1yTpylcRUVqJtq3r+mvjps3lN8Wd6aKSbPtMgkxz21vJqc31N92HzeVNh3K0/r3V2de63KZgNZNI1iraNWm2TRHpnK/tffhxgW40b/6aglvr8lpBHjIznYPW+VNE3KbYKKCN5vy1kdv/4sJsif22znTHXavI1hT6miLw9H2Y/pzWyPX0df+pY9N6nTd/VsTF5sg5kXPT2o04K/TNzuw8+vP31jH4gUdJ8H+0xMNHTeSTT+a379nHhrUnEvghixYtxHI85s5ZwtJlKygWOjFSuSk16Fy2gcVzF7L2uOXMmbOQnr4Ols1ZiCFRsAgFbqhWfYqFLL35bpb1L6Icyc1lQBxYZLt76evp5dprrmXfgUFq9RGiUolnnP8ktEjoiAbVyQnGakNkO9ux7YS95QNEUUqb185bXnY+aVtEri3DsfOW8pQTTmF97xJWLFvE97ffw/47Dipx5qUXnU0jW+OmnVs49bSNyt0xXq9DXKdUK5E6Bo9dvZ4DjTJbdx/AdU1C6dLTNDyhCPrQmfMIawFzCnm62jwG9wyQyWUp5mzFHwgmNNJaSsY0qdV1fr/1djzNZmKwom4sb7zlOrqsNvYd3qV62OYt6aSno5tib46zNmygPDmISxG/6tPfm2NuZwfZXIaFxU4mhqrUE4M9+/dxSAAkQUxpeEyJOVsmtxKUAiaCSTbvPKDcWBKZXLFyCfsHBlk+bwG6aVC1fQJXp3RwiOsGxpiolHGzBncf2Enedtl1cB8HDg7wyxtu5tbdW1m5ahVpVaPg5RgcGGPjSScyN9PJv33mUsZrPs+/4Jmc9/SLee5LXs+EP4luJjz7aU9kzymLeev+gxw6sIe+YpEn/+PrGd41zMfe+wZhh/LWf74YM2dw0ckbSKsN3vnq95PrW8q1t2/mqv2D3HP4QUYin33lYSYmJ4nLNS55zcUsmbuIX//+Vj77kX/GyhX59Mc/ylBpTHV6bbtiEz+/9ipMrwO3u42crrNi8TLWzOmnNDHOjXddy21bNvODb/yOPQcqU92HXZ1M1Mf46le/Qne7ybK+dg4Oj5NvdLBy8RzKtTodnXnau/I88RmP55i1K+lo60QfDHjHG9/NaRs38Ikv/5Bs1zLuG67z9Ce8GI4Mq9fQq9/4dn78+0t55+s/ysUveSPf/cK3+fSPvkVbMcfBgyNsPOkkzIZGbbJOOa3T399JRvrzTJ1ep8CC+X0smt/OaWtXYrkWgSdRSehY0IHVVuS23SM8/jGPpTF4iCuv/iPvfPFLWb98EecdezZnPe6JFMwMgeXxlLVPImPrrOpexKJV/Xzut19g9YL5zFvYR6HH5f7rHuAPV/8CsxpycHAPx85fyXxnLtWgxMWf/B73HSpzoOIr0IbELeMwItFC5VyTCGAiDjrdINIkBuugaQZ1sV6J00zii42Kch0mAuFwHfUcsVQmsfToOaqvzNB8Iok7hhLhE1nDwDKkly7Fl34+dKKwobpB/Xqi3HMSbdQ8B8dxMDxddeHZnoMnbi7xlUlFgKarHjoRgnQhb6cCpQgVEMByIvxgisAqrimBW0i8VxOaqmEiaGuh8hq2dNBpSqxqCBhDdzBtqDeENOpgGDkM00A3PCxbPviQiKTAPBxM3UI3LEyJ0guc2MshVYC27K8Ah4mwBIKQhNR9Ey0VYcshTSwyjkUSV4jF3paauCKW2b7qMfTMQDke9SAERycSSEOaURAJ9WvALWBJDNlICeMJ6rWGovTqmqNARIJEqA77ROKIM+tiUFSCEZHY1ESoFbhKpD7cEQdiajpK3KzXYuUgbEQ21CroUr/gR2Sku043qUeuinHKe6SZ1pU4K8AUEcrEYScCZmoIkEJTXYqKYFxNCGtTFFpqVTQvh+VGCsYrAj+Fdhw7IutZ1KsCTXJxDR9TTxV0JGM2SCp1PHl9iONTLxAForIaoJxzBolUF5g2mhHj5HKYYUUJa2YuS1QL0UWQzhaJBA6iRDWHRiAdjwGWCNeyb3FAtSofJJn4IxW8TJZarCvyblXAI36ohNCck+Ba0psIgZNSGq0RCQlaj4nCGC/NKIG0Vpf4dUhdrg0/Qg/HyRQyJLGDn6RKaNTCAF/L44cRtmsTR/Wp3sEkouqbSlBtVGMFuBHBTITNyYmQhj9FwS6NT5LGIQ23oCAvSWJRMwyyRkkJh+Jela5J9dvCSskI2EUXMbBBuW6hZ7uJdVsRvq1GHbdWp5FoZIwqflKg6OjKwRe6piIzy2tfDn0Sj+Po8t6QEo5OKmEYXcTykExXFs2xlaPSdR1KUYQb19HlOp+d2Zmdv2iajjQRQqTHrilKvdD6sXK5tQo8rS6+6THS6b1+06cVwNEU/lpFsKaIMj0S3Bopbi63KUAeTThsFQlbo7rNaf6MfG2up+lSbI4ci+kU3qajsXWaz2nGc+WrCFDNuHHrtjXdXq0ddjM58Vq/Jz8j50EcfK1R6uZ2rem67f+j97bAOY4mmB1t/lR0drrA17p9jzQzCZn/yU33CF16TeFS1tvqJpSZyU13tHU05z9FpR9atqxbBNHmeh7erxni4E1n5XSnX/OctF67f008enb+v36xP7dj7H9iHi1X1ez8/Qhzp/6V5/yRoCh/q3jx/4+99wCT6y7P9u/Tz9Tt2tWqW9WSbbli3HA3BLBpNsWGUGJ6QkgogYTQCS2EEkw3LXSwwY5tbHDBvcuyZUlW76vtu9NPP//r/YnDf9hPMuVzAvmi15cur2ZnTp9ZnWef57n5rxD5VsyfTd7K8fiu3eRsh60jI6qUuxZ65HMORqTT9HwKHUW01iRusQO/mpDXa5S0EmY+T6Gzg1JXmYpXw7UMBvvmUi5ZbNiyAdeIqTcDyrOEhGgyMVanlEtoTI0xPjzOZHWar33zO0RRzOj4mOrsCasxj29YT7nYwQkDy9nTGmZ3a5hXvP9z7Nk9wWkrV6lI0M3rH2UX67j34bVUp6rYHRYf++Bnue3ezYyPNFk6ezUPrVnPnP4O9CAmKMaccuyxDDUrrHl8PZdf9Dym65OMVCbp7+kmNBPOnH2iujlvRhGdPWWetuIkRiek3V4ibhGVho/r6vhxSGfHgIqniagWN1MKRgfzl3XT7VgsmjMHO5+jEgZMj03w4Jq1dFkm5x2xinMvvIwxETiaTfJ2J2P7AnpLLoOlbnoX9dA0NDaPT7J7+x6e2DR24F7etejqmkVp2mX1rEGa1YhqUGekUuPCs5/OQ48+TtDy2FuZVp1cD2xYR7fTq5xIdb/JI9t28sS2HRjdtiLCdljivuxgYecgoyND1HfvxXJ1evQcm0eGueaG/2TREXP4m796BZ29ZZatXMQ73/1q6vvXkegRL77gJHVDetmCBXx+6Rn87Yf/hZ5Cnmc/+2w6lnRx9MnP4Oc/+jyf/foPIU55/eWX8Ozzz+Sf3v33fPYrV+KkFt1Fjy9d8QNml2wevvcxnnXhS4i9kCXlAr12jrHmDppyYz45zcj+PWh6xILuTmp5g4V9s8ibDUqaSU9PP7u37eXbv7yZ+rhHUZ+tonif/eg/8I3rv8ePr/05P7r2VlYuOZK1WzZR6hmgWU14xonHUTrCYv2G3QTNFgVSGiMe9197P4/e+wRbdm+h0FVkzfU3sXn7Vi5/7YsZmtrA05afzS+u/x4f/eL3+eUNP+G6b32fnpLOO97zZj70DimHLrJ3vM6SBcvom5XnttsfYGCgRH9fFwvmdjM1XiMwU0XrHR6dYGx4H6M7pvnpLXcQWSIwTPCS11/EWGWKx9ev57Z7b2fj5u18+/bv8pF/+TC33no3lXrCshNXkguGWbJsgMnqOJ/64TeoVCpsHR9lZd8gJYrsr0zwwA238cT4Vnb606qHa+f4BKZrsr25h5bmkyY2rtmJJWJJlJJGAmLQFd1WBAgRf5CIrgh5uomhYrfixktwhV4QBaqnDlsiulLOL0KfSLwmdmdeQU+E1BwTK8FeD1PMRFAxCaaAZkIT0y4S1SNsudgN6cZLsFyTQHrGxDIUSpzcwxRRSjeVuBNLc1gsfz8gTIl4IK4r6clLXHH5JaRWjlji/0mEH2mYQgo2BCYh7kOTRJA1tqxVozUpmAmdMJHYqUkUhoSRiHcGqS8OpohEYq5hFdM6AA2xLE05CYUeLEY9iYzqscSGNRLRCW1D7W/BSYlaAs+QiGyAY+tEugA4YtUdKP19QSvANYTia5C0HLRSHs0u4pghgWErgYo4VqANSyAmOZMkiEQXVA4vTXfR9QPAhjhukFRDfD/BcRPCRkDsRbgdBwQ8iWxKl56cW/FeCaU38VskXqiiwKYh8eTgwHkTIdS10DsLxHX5ZUmCoUufXkLgdiqgRpS0CAOTqjjvTDlftorXNlITR1yIWkP1f6YiIjkaesFmet84iZZDC1oHosctjzjSCEIhIgsVt0EicW0jxhc6rXQVlqR/tI6PReBPY2ieIkInZl717UnkWo5vgDwvxCkVVew0qAdKsJZeRzep4ZrS4deklfiYOZMw0glCkXh93K5eSqJr49ElhsO0Tkl+ERQZFB2L2Erxo5oC2IQiJotrMEaBn0xbeg6lzK+p6gQkZivHv+U7EJrkLNmfohKwY62prgu7IH2VEkNvYuYcqmGMj0MhbxwgTydVRXbWTV8aMHGk87MopOcIL44JhZ5kF8nrFRzToOkd+GWVlYZouYKKJkeeHE8fQ9PJWRpNgcZYNrFbolxoEvk1de1EqUBBUrzUJil309ItunpsKpWQnCNde0LaLuC7nSRSmFHspRnaNPeNY5XLyqEYh5MYjkEg10oa4Ifi4LdVJ66XSv+pxOEPz+E5PL/vSPyzPZYqwl7mfhPRot2Z1A4raI83totoIpLI15lwKGJc9tx2iEW2LPl/uxAmLrl2cU+eK2LZTEfcwUiwmbMrW262ne3Rzpk3XQcDVWTblsWP23vb2jsEM1FQxMCZoqIIlpkIlYk+8twsapuNPJ7dxLULUFlUV4Qneb7cYMrX8rics5nut3Z3y++K5R5qZr6u3an2m/341L+yfvzkP0jA+l0i4O8CepwZfu+Pdgz+1np+Lbxl502WKf1+v0UObosgHwz20i4+Z9dVezRcvs7ObxaDPzx/2LSLe3+uQt+fEwTi8Dz188+/ozvvv9OR+FQ7F58yke/+tY9Sq1aw0piFg7PEhEZlukJ/ZxdJHKqC9+6uXnp6+ij3zMEpdtIzMMjA4BLMQheFYq9yiwShxG1zDM6ZrzqwTj75DJYuPZKJ6RqVpk695TPZmGT3nk08uHatulElbBG36gwO9BBLUXqpSL3RUv09Tjmv6JPxLFcZTtLRmLm9Xczv6eOORx6lXplk+eA87I7FfOj1L+O4JUeqyq1XvOYFJKZHf2+ZbSOPMVavs2N4knJ3mamJOvc99ghhzSfUQ757w3WU+6TwXWe6VqPbcnnu+ecrciehxptffDFrdz7MwMAszLJ0XaUcOW8hlm1xYv8gVuhx0uJVTE5NkXdNhiujJFMxzzrjHAq2xsqVS3nOyaeqLrXnn/dCFq9cyB5zih9/5wrOPnIFK49YQGy18MyQNbv2saM2TLXe4qh5A3zore/mGeeewzPOO4m+fJlZdpnuKGKoPsrD+3ZR7nLpmOWwetlS7nxoDbmixalPW8E5Tz8OVw8Zn5ik0prmvHNP5w1nn6ZcO5qVkPcMNo8NKeCA5Wk0/DqOOC86i9iGw6g3TU+pwN+89DLu3LiG7cEwX77mav7yfe/goXVbeOCWX/HmS1+NVjP43s+u5e6vfYfXvu5FXHH5y/m3q65i7rx+vvbu9zG+ezfPf83bmDW3i/OOezo/u+kWvn71jdSSCqsXL+GYY1dw4/0P8KY3vYSfXv9Lli9fwHe/9y1OPPlMGoa4XmrsGt5LOBVSmt1FsVikaMXsaciNd46t28fZPlzlurseYGBWmdFoitVHzsXSNI5Y2MXXv/xjHEOnp9TDKSuWUJ2uEVan1fEKk5BS3mHHxh0878xnUsrn2NdqMbR/jJpVZX9+mv7BHhppwONrNyshdd3QdmabecaqNnf+4hvs3FOn6HrMOuVofnbbj9m6YQ9PO3Ixo41J9b5yqhrbdmxi+/4htmzdysj+iHs3P06r2eKMY49mYm+Vh8c28/iO7Xzy379FsbOX2NBYNHeQJ/buozHdwnBNTlt9Auc/81QazUkc2+Qlb3wdZz37bF78yjcTj9aZ09/Pj66/jQ7bZGp6v+oXvPOeh1Rn4Itedgmzyz1sqE4Q1/KcePxqLnzW+aQljdTRqVWkiL/F3n01SB0YGWb+oI0hMVGhvArdVpw3roATDpCd0zggUbHZVMUmdaeo6NHicjJToa0KLTVQ8Av1Nmr5aKZB4jfQYyFO6wpwQDGHL2KMJ+KcSRS3VKTbslP0JCSxRFAQIU1X+yIgBun3E3BBGKeK7hmEdVJdoqDiqLOI/RD0FNNsETcTTKeIJvFVK1JAgkLOxC3YSqCM1LKF+CBCjWSKA3SnQJBKR5+LE9YpODGmCH5povrL4qZkWl3B2eJ7jiKhigBmlrpFe8MtCYFXXI22glQkviMmYnJlHd+X+K+4/gTOIT2lQmc1iXxT9ckhRGHptUNX0WDHaJB6AjiZwvOaWInEKaVDMEIXorFThoa45RIS2yENGyJTohsxnl4kZ9kKVuHmbJq+iZtois6cSJ+dCEoGuHZAYjkYQkDNWcpNGZm6ilOLBzCVaHFeABsxcSsmqAVorsR2HZLAU92oQnp1yiJEFrAch5weqM8f006wijksQ2K0ArCwVX+jq6V49YCmZ1LokA65kFDPY6VVzIKB4dpIjtoU2mxN3JORopWLazLSLMKWnA+XnG0TyXUg12C+RJwm2ELrFZdl7GEIgVaLaE5WlXhlFnQszaXRSqi1pJ/Qw873kkRNYq+GmdeII4vIyVGteHipccCxnab4iYucmYIFnheSRA4l06YRSkhbnJA2sUSvHYO4LoJvqq5/t6NAt+7RqmjkC44ShuX4alYT/DodRRO/IRRicbSa6uenUNkdKyeoG+W8i4T03DeIEzUUCT6vNVW/ZMvLEXoeJakXiAR602I6LVPz6hg5iSBLWNmFuke9UqPlKd8ikXSQSn+kBg3PIK1WMXEJE6lxqNIKU8r5GLOzQK4xokTWyv79CkJT6rEpdEhl4hT4TSzNVBH5jkITs2dAffbEEsF3ejCl31A6L/Qijp6gN5vErQC/1SIWOv3hOTyH5w8acZdlwpGISO39dJnQkYl2mYAnfzKnWrsIJm6r9qiu9P4dTCRpj/xm4ph8T4Sx9lhl1qXWHos9lIiViWoztzVbRzayj+3x3SwunAmJmWsx+7p9fVlPoAhBmego+5ita6YINJOoK98T4VT+LwKTOn4zuu0yIU+WJc+Rv4tbL3P9CR1ZLavNBZg5T9r3+TfH/PfszWs/5gc7d+3HeSZ85WDrmymuHgxwcahtbBf1su04mOh2sH1ov0FvF+LaHZ7t10PmEGw/DzPj4b/VDfjra6bdeZpdOyJqy/nNBL7Dkd3Dc3ie+jnU++qpdr39qea/cj+0NJVQ2P/9fOenP2fh4oVM7B1icMFsVQgv7raSXUQXB0DYUDcO4vIJ/BYTk1MsWjCfybERvDjB8zz27NxFEMe4jktvVw+2YdHf1021MUK5kKMR5ZgYn8Tza+oGKomrmHmXZjMgJ8XdrksatmiKO6c6xKbREcJ6CzuR7rSArnKButdi5bIVTNcq1KcnaE6GLF8yyH6rwdjGMUUJFOHQkfuuFjz31JO5v1Jmy2M34psRJVtihQ7FKGTnxBSrFi5hz+69XPyyZ/LDX/yS0+eexFmnHMfx51yojsvzX3IBTz96NXc8uo6/fMnneOSOTzPl1Tj2yNVct/YmrEBcTQlHr1jEI5t2YsgNppXjba94AV+55j+pTTTp7u9jtpmyeWKackcnVuLie5O86MKLqQ+NcNvOfZzz9EF+9NNbqckNUTNR5fCnrj6a6vCYiiyfesxqXM3jI1/9EXNWzmNo+wiYEW++5BIe2biFTTu305HkaSYBy3rncvee9ZQKLpdffBlXX/szTBfedulreNdnvsJkMMUR/XPYNrqHt1z8Im7c9AjlasSm8TGiOCZvFfjBN67i3W9/HQ9s20piSixTnEgxuquLuYlZWoHd41McPdBP1+w5VKaqnLRimaKymvumueT9H5amRy5+xYVM1hu86cJn8d077+SCI48lny9z2qnn4nujfPsXN9KXaGi2S7VVpa9jLndvvI9TjjiSE094Gp35PCvPei6P3v1TVp/2Avwdt/PjX9xJvW7xhrf9A3se/Cn76ilrHrhfAWMkKvnohp30zs3TKkb4u6cYHqvzsnPO56hzXshrXvZCzHzMYO9STjhG4Bo1RsdrKuZZsPNsHN3BsfMW41equJ3dxE2fcQEAeAENN2Kk6mGMBcyd10WzZbFyzmLufPRejLLGCRcfzZ47tzPtwb6R/bzi2S/m4e2bOGrOAm6891bm9XaguSV27dxBoauEE+n05fv55eP385rTlnLMKS/gnVf8G/NmdbJqwQnkTYsbH/kVRivGjw1cJ2V2/yCvfuGLuPae60lCg9WDq9g1IQRmOOM5F/KP7/0Ixy18Og9uu52zjj6J85/xfDbuvoe7165h1/A0c3oHGdm1n0m3QnV/i+JgjjiS6GvI80+7gKmRgJseu5mnL13MJr9IIkKIRGylxFBLFZFV3GlRmKj/C13UiDz0BDRxtqaG6l2TDF8s1NYwUK4mib6KGGPoAWlgYJuJcgCJew6JoCYH4p1Giopa2qY8JusuYCV1AqG6imPIELqvrxxTqakpuq2BreAeQqUWsqpZsNEDiYzqYjbDjCIV9dVNWwkbusRCDQEeJEpwlK5ITQAWmhBVxYUoDjadxM6R1Kpq/5HtjeUXGCZRYhIEATnLotGAfD7AMEU4axDp0qVXFLwoRkFX0VDElyhutzDBtiIV8RW3m4iWhmWTlm200TqRnsMwffU8Kwlw8jpxatPyQyX0mgKQCAPSVDvQB6eZSqTUcympWcSOREzRFWzG90OcnKXgIVEiMV5LbUMiAqsIsLaNNNw1pU9P3GpprGi+It5aWCTSWyedjCKeyb+NhXArAqe44nI2kUATRJSSrsQ0pKlb2ALECKXfT1yQKaIGa3oOPWoSJhq2LcJvTgFGkthXYmAo57M2rhx4mhQvaqFy84k4Ju9JyzZU1FnORVhpIpDZxC6oKDShr6AnpmujxyGxiJIptGIoOgW8pIpmFHFV5DuAuAluUTkW5fdjou2mpkHaDAm0HHmnpa7ROAqxLTmONo6uK4dlYtlYaYXIKKH5PpprKKeoIURdXBXBjjyNOJnGNku0vBS3wyRoaRA0cSwNPwjI5/NESYwv8XYBreipqGw4nZ0EgX8g/hoK6bdA1BJHfIRXTzHKsl5PnccoquOImzJ0MQQyI+cutLEKOkEsgmENS7RJx8W1i4RTY5ArEHoBumVRKudpNRrEKposbkwNTwTCUMMougqs5RQKyrUqvYvi5i0VDBWzn5YfJJUmdkHecxpeo0YxlyMIGiShRmTruFYO00xoRg66NoFrFOnQA0ZaMT0Fk3rNodAp0CmNz3/ui0/FP18Oz+H5XzniNBNhRMQsEfHahQwZ+V722EzRIxO0Zna3ZYLNzOeIkCWCVSYYtYswh/p7+zaJq+43brlfu7Fk+zJAyO+KqmZx4fb1tG9n+/NmLqOd8tq+T9n6292I7cttn0wkbD9+h5pDrS/7Xvtxbp9MeGx3qx0qHjvz8d/1vAwC8mTPfbJph1z8vs/7P4i+M5bRflyy89vuOp15rg+2b+q5v449Z9fmzO1sfyxbrjg6M0GyPdL+ZHCUw/Pb0+7ck47Dw3N4xMV8MBedCGH/0/r5/m/nUPssj196+Vv/e0W++9Y8TM6x6ests2+iQbVaZVZXD7lCiSVzB7h1/TbMsILfErJlykhlnLzpsmiwj937pxSlcueu7bSaNU5ceSw7RobQDJdnnnsOv/zVzXQWS3iYBOEkVuQw0RgnCX3V1xbELUyrQE63CIIWlUadZmWY8eEJym4nRy0aYHS6xZ6p/XRZNo/tH1IOLLmJf/ulr+VT3/0iI6M1HMdS5eKiOOh1g9ld3fzFWU/n1ofWsXrpUn5+5y1Uw5A3nP9crr3rLqZicQDBcatPZN3Dj3DRmWfw7V/ehKkZrJo7nznlLm7euJYjyrPp6NOpxhZ9eVOJkuVCiYd2bqTfLtPR009jbIwhr0mH28WiY45i3eN3CI6XynSLueVuJuMW8+d2sXdkmiVLF9AYbnDS0UczVpvgVw+vpWhZaK5Gczxk4MgBdm7eSckqqyjul97+Wh5/Yhc3PbaV4Z27KAwUWDq4gnXb1jJ7YIDR3TVOOW4OO4YD5g728cCa9fR25ZkMJxjb3+CUI05iY30Dpy1dzU0P3aNEkbxuUG36HHX8Kk4anM2Njz6uhJoTjlrGll37WHr8YibufIhf7R0jldhZmqBbBvOOmM3+kWHV2dQa85Vwterkk7ht7V3c8LVf8txnn8PXv/55Zg2s5Av/9k9c9cu7WHTEPLbu3oVu62geys3yvKefRCNw2LlvG1N+i5yb4kQFTlwxi5pe5I1v+gde+qYXYIy16FvUw7ve/FG++ZVP8FcveRNrt22kMrGLR7fv4EMfEzFxFm96zWWsXDyPv/6nj/GPb34Lp5+8nD1P7GVtdSt9bp4FK1ZQErdMp8u199xDZ1DiwkuezZat29m1czdzOkocd8KJ7N5yK42oT8VDYyOkZOg0xYHk5PB3jzPtNdFiAQeYvP/jV7Dxxqv55s+up6PT5pSnX8B1919FX3kxkRngj02wdvNu3vHGy/jad6/l/LNOphznuG7dveraXLpwCXfdvZbznnYEtz2ynWVHLuKtb/lrXvmmd/GtL3yZr33pY+zcsYXHdg+rovzmdIO+/gG6RdAxEl580bP46k+vUS62E5avVK6dux55iOp0i1JngX3Dw5TLOZ626gRufOQu+sy8EmqMosY3PnMN73rP5Tz3tGfx+R98jelqk6OWH8kFx5zJBZfKP3h0/vKtzyN2lhA2mkqMSnxxx4m3SyKaUocm4I2YKNUwBMoh7qA4xrAF4BCTOCa6L46nCFdcZpICjj0SX8cUV6DvE2oGtohPglKRPjwF8pDMo66Osbj/BEggEAxN+ZoC5ZgSx1+aFiRLiSbijm6SWBqaF6OLMuFIv58IJQG20SI2C0o4MhJPOaZafootdmWJEDvugVUi8B+JEbcUGEQLQzFxYTk6vuao5eq2ht7yCRJDCR8q+iu/OAhlmzw02c+gorrtJJJsuXniRkvFYnMi2onT2fGUK0w0THFjWbb0FIphTHr3UG5c6VgzAp/ALBIHLbqKeVpCl+UAhRzyaHFLwUpMORe6RIQtFW32600MM08cNNCEoCuuxSBWPBHCgCCx0EUglTMZmWh6gNf0sHJ5rEg+ky0S6Vc1HHQBp0j1XSDYJRkXU+LPsiyJbqcmghuRqgK8EFNUONEEY4nESkRXU+AbL9QVXdfUYkT/qzdi8rkiJhUa0hEnTkxHV6IdzRaRnUcTd58fqBi2cr8p8IUIzSKcJSoGTeLg6D6hKWK1pxzoAiEJtBKWCHDFLsK6XD++inDrusKUqH5A07XAyhMrYTLEJkc9EIiKR6mjjyiuqW5GU9yhQZUAl7LtKXE9EGBJqpMELQRxgmHh5k28ySnKA73Ux1oHCNLSs5c2lKAnvx3RPQPLbpFoIjVaSkjMWwFVH5ycODtNBdOQjsa06ZGYJqYbYaRyzkyixrQCZRhOQcXCQw1cI1XRbj2cQBfyrm1j5FOCiRaOq9NABMI6bkFgNl2k3jhhq4Vm55GEr9CqcwL7qdYJjZRiRw9NL8BNp4kpYmgpQRQqQVeTuLjou5pL2NLIGVOMN6CQSyl05mhONolNnbwe0fTzaGYsFyaJfC4UXUqGRxxq6JqFH0V8+Yuffyr++XJ4Ds//uhHBJhMs2qOx7WLaoYSv9i6+djGv/TlPJmTN7PLLorEHE8wy8eZg29buDstEwcx9174tM0WgbH0zO/ja15WtPxN4Zop2sq727W0XhiT6msV/3flfUFHobNtmCo3yXIkjizDU7ljJRNGZjjblNsw6+Q7Ridh+XkV8lQjs7dalB773B4hz2bapdbzt7coFJ661mc6a31f0a1/eoUTJbP5Y+MrMZWTHOztfT7a9B7uWZ75H2gXIdiG2feQ1h+O7f7jYd1joOzx/LnP5n7mo+PtG25+yuO7GLZuZmpxmx85h6jWPqUaVfRMTjIyOsnt8FEevMzQ8TtMX8mCIY+RphS3WbNzBps1rueehe5hqTDB/cAGVVo2i4zBZq2C4QmEUMiJ4zRrNKZ9GFFCtNGjUPI5csFgyXBTdIvVWnZaIA5HP0Fid2XMXkRgJ9+7eQUd/H34Q85xzzsYMYwqexsCsAT74pX9n1YLlyo0wp3sF+aJN2tJw5tjKvXHRS97I8NA+Hnz8Ibrmd6qo7dUP38P+2jSD5U5yETzw2IPMmdfDdbfdx1lnnEyYRqzfvYM7dm5gSc9CAsdg3d5JKs0Wd67bjJEbwEscVi9cyeIFK1kyaxHzZ6/ANA3KXSblzogjZx3FksFZfOlDL+fKb/+YTtvGqidUGz7DY0NUQ58bbvkVO7ePYJRgsHcBeYq0rJB0qMqK/iUUpSNMg7+/4hv8+3euwyo1yQtFNol4fN1ajp63gr17hpnd38+GzcNM+aPs27tNERp3jw3hN1Kcos0D+9aoCOPdax6l2F1kUfcswpxINTG1LUN875bbufD0M3nGsaewf3Q/Wq3FI7eu4VmXvkVdYRKzW7ZsLsWyy56d+5Wo5E9Jv2Ies7uIPhUpge/1f3UxffM7eMc7PsJHP/YWfvLzu/js313O6hUrePEF5/PO17yGL7z/PXz+3e+i2owwukyGgwoTlUmqUczanVv5wUOPUhuZ4FMffgc/+NINfPeq25j28wwsWsq7PvpV+lYXOf9Fl3Lx697Nhz72Fc45/4Vc8Pxz2N8cIYo8fnDl5zDyEQNz5vOCVz+Xkxcs4ZUvuowjeuawY3KaS155Gf/x5avR55f44U0/4qhyg+3jOyl029z76EMUjR5qqThLC8QB7J1K2b1zP9se28gNG9cxGdjsmBrijrWPc+FLn8nffvkK7t+xhcDKc/Nj1zI8Xcdv7mN6eoozTjqXSAACjkupx+ShXVvYVh9jWU8v+8enCGgS0OKS172HWnOS626/lRe+/JU8+6QT+ctXv4COaDZb9u2nIydvc53+rh5ecMnZDNX30T+3l3/+6hUsLi8gdGIeXbuFZtXnwnPP4thlq5iYmqCvoxNDt7l17d2KgltPIqZjidAavOntr2F4uMpdjw3RlMiocGnDlJ6lPn99+Rv5/Fc+xdhoEyPYjlXIYUn0sGASiqAktf0ixogwJZBWXyPURaCxsLUDBFS7qGH7DdLUVw4yPxa3kRTlCY1UqLQ+LRwE/CrLytnSp6aTKhqpoTrgxJHrJgEFU7gQAjFooNsOvqg1bje6LkAO6V/TSOOKEj41x0EXUSqR7UkolmLlrEslvqjHhOJWE4eYaaK5NmK0i7wILZHIcKo+e9BzByAXogG6OSwrVRFTW2LCtZgkCcj35BUsQYSiMNDQcqKfCWm2rkSfNBVaqUESCIAnokSVNJBlm3i+gSZOQ01ipQ5ilvTTkCgUuEh6wP0VG4htzY6lA83Ejxq0vATdE0HNAr9BnPy6B1Q6EoUCLBFhEVUFfhA1MXWJkGpKNDO9REWQBSSieS2SWkiUJLTSpiLJFovugbqFnDiqD4h0IoiGQrTV8gccZOIclL5G6f8TYxwS464L8xfLF7HTwDJjDC1Q9GPp1IsMHd3Jk08DJRbJBZO0fDo6c8ThBC1fR4s9Yj8m9DXVV0heRGIR5kwVxxXRjlwJJy/uzAKmkwcjUv2DFA0iAbVodXUMwkCIwd1oibjyHJL6FJZVV9Hm0E8I5LjHkQKzGKJwCdQiiCnYORrSVag3sC3pgPQxhCBtinZZBcfCKRgEeoe6JtKGj96SSgkRzguqSiK2DojolcmUshOjd5VxBZgifYR2D3pSIs2JNU7Mew5hlKNUiAkSiejKOdWU2GtEoSID245OR6eOEecUACesTZNYOWSjJOmemglWWCEIPYpFndgoqxhxS6j2Ey1iN08zAN2bVs7J2mSAP76LKNGwbFcRsSMzR65g0whSrJxsp/xGI8SMPVKzi2YYEwRNIlGRDXH21mn6NtXJCq7bpKp3kSsV6JrbQ7NpqvenUZyF2zVL1UJYZXFuuio+noubhKGD6ZaQN76jVOfDc3gOzx8zv+WYauvRa3fuZXFQEUiy12RAjCy6m0Vl28W9dmBBezdaNgcj37aLdxKDzJxyWYQ227b2ZWUdgNmyZBnt8UwRykQ8y5aTbZ88v13gy7axvTewnRKciUXtYo5sS7asmZTXdiFL4pzy2kx8bI8Ky2TPbe9DlG3+3tc+8xsIivwRWERG0M0EvnZIyW/FYX/9OtV5+Kl//c062oUtOTbt8JF2AnD2tQiD7dFaWa6i+7bBS2Yu92CTPS8TM7P1ZkJYu2D5u6LAM5/X3rvXvq3ZOZN1ZAJfth2ZODczYtzummw//+0i+G/W+6l/Pejj2bSfz8Nz6Dks8B2eP0cQytdmCHxPZRT/j4nntr/mD3n9U+bk++WtN1N2C2wf2sNJRy9nx1gdL6zTXZxNR0cHdz36IJ5EZrs78ZtT1P0QN9WpTA0RRQdKwPfuGWfWrE70OCZIJcqUECYGHcUuNCMkiB268i75ginVXuzcNcTiebOZatQIWxIdq6ob8+HRvZiKcNuJowWMDY8zMjWG1OGneoKl28pNNdGYpKOrTGO6yqK+QXZO7acz10mlXsPsMkjqCUfPWUQYReRsg8d37qFlBayavZy85bFpz5iwEXCsFF06tuoGF5x+PD+98WYmWx7FXpel3YvwvGlyhW7Wb93ErHKPcpaUXA27Zxk7Hn+Q5SsGeGL7dszEBreAm/rkygOcf9qxfOcn19OghmHqRPWEBYtnY5ouq+YtYf0jDzE0PUVsm1xw4ipu2bSFkubiJgZ10ydpRpz+tBN44I6HqVohx/QvZP3obkVo9aOY/kUDnHbsiTx4/x30d5VZfPyxfPNrV7F8boF1myqcdcHT2LJxs3KLjE2OsXzZoLqRn6w2IGzSqEf0z+9hPGpi5U3q6ytc/KLzoLuTH3znx9imdC39ujdMbugNOGnl8bzrPe+ho9DJNT+6gm/9/DpeeeYz2aO1uPo7P6doOhQ6Sgok8dWP/B233b2GM045mTsffIzXvvXdfP5Tb+VNb3wzL7z0naTFBvN65tLwa0wlDVrjPjddfQvvfOfr+cQnvsy/fuid/GrLgxQsl263wPK+own0ClYsDiqfwTn9rDxiMdfc9HPmzZ9Lz2Av/bkcuVyen3z7GgpOB4uPmcvIlMbo5DDHHLmaTZs2U4sktjqLWd39bBjbzpzObh7ev57Vi46noFtM2w2qG8aY3TmfhjbFeLWFHjdZs2MXgwPddHcV2bBlj+peK+UL7Nk6Sq7X4a9f8GIa0he4dg9FNOYtXsi6DWt5wQtfwlU/vYbe/lnc89hjnHr8UezaN0KnpbFjeIhmbLG8r4NXvebd/OMn3sxznvk8br/pLj79xa9y1Ze/wdqdO9m292EFq+yy+nCKJvNmz2be4vm88EWX8o8f/zRTm9bTSn3OOPVkejSHn9xzC4EXYOoG05qPY+Z47gnPwDVTBlacxH13/ITh/VMsX7yKW+67HTuns0Dv4MKXP59tu0aoDVe5dcddGLHOkoUrGPEMWhVfPnAEFavAD3JNiICRJEKv1YjEoiXNXq44+hLV5SZxWREJo0qdyDBVV5vEMSUO60tcNRSiq8QybVKJHSbSNyYOpYQktCjkAlqBxP+qRE2LSJxBAlIVcq44zUQcbMV4sabcoOKOC2MDpVUYMUYjICmVlDst9RsYtqkcgFrSUNsoIk/i5HHimEgUR4n1+rHS2FzXJWw2INeJEU7TCAViEGE6BqFRQo89BWGQXjNTIrCGjiZ02+BAh6CdS/GmpTsvwlKQjIhQ7GepkIQjYnE3mXlqXoQpFFiRcu0EP9AwbBfLFohHqsQ/gZN4Lf1ApFTgGvKfuPeCEMPRadRSDM0UYxq6ZmOkLdVPKERVcUdr4igMfGz5TLZKSLucvIcEORKLeOcbOEaEaca04hxJnKq/y5s+FveeFuA3I7Ck+9A4EKmVPsZWS4lliS7XgwhH4twS4IpGKg5OR3C+IjjlFPTBsYXPEhDHEjl2CdMWQSpCkGxbSKthKMJuPtfAb6ZYBUdBTgzDplVvkVod6NL5SBPDlo7A5EB0dVp+QWQo4ajQ6TI1VsXJu2o9Fj5RLNFoDUc66FL9QCeiZ2B2d0DQUDHtyPeIBBJjpsp9qLsOemgpAVvcpp4fUC5rGFHEVEU69XQKpkcjdjElUp6UsW2hFefRwxqalhKnAkIRoVui14n6nDU1m7AxRWh0k7NC9DAg0m2VWheadFF0cC8gsIRGm9IKDJqBTt5OFJhKfl7ZhkEi4qtXxTfyOJpHmi/TrDRUX6SIy7lyDkPsd3YRrzpNLmfQwKSY1PEbcg3LPkCnA2PVFNfRFKAknhonN2cQr2VQsOtMj/vYtIg0R8WIxWEpDtC0OaKerxU68FoJSW0a2zWxnISppkPelPd0QCvW6Cy4mCV5jYcu/YZpnqhR48ovf+6p+OfL4Tk8/+smc4llbqV2AWqmY25mFFImc8NlHXrZ82RmPnemi67dAXioWGX7sjInlky2XTPdVjLtUeBDObJk2l1d7evLopZyQ9cuSh4sgpt1sklks93dNtPxl404+rLnZK44cdllUdh2F5PcxLUTebPJ3GPtxzI7b1kkOovUth+Hg0227Pb/q9e1xXyzv8vXctPbvv3Z87LI8qHceu3nP9vW7Gs5biKGzXRBirh4sP3/Y2O+B3vOwbY9Oy/t7smDwVqy52Zi4cznyD5k18XhOfQcFvgOz597TPjPdf7bnXxbtm1l38gQ3aUCtzy8hvWbNrJtxzZazSnyJZNuI2JWZ4GhkWEmJxpUxvazf98exqebjEyMqB6nQsFRAM5ioZNlC+awYslyjLxG02/QqE/hak3KJalGqjM6vJ+uzgLT1Tr1lkc1auGHIbuGdjBZqzI1Pc2+/UNs3r2DibDC/K4u5R4MEqH0NpRwZhs6i3tnsWDuXJ4Y2qtK+Edak5QKJebnB5Cu/IV9A3zsk19gzKuriKETW8wtF9k7HVLM5VlVHKTDz2NXdF587qncdef9NPRYgQqKqcu2nbsZrUxTGx4jNXVFHm5EU9SqNaYnnsDsFdKmpyAETTekFUzTTD127NvED35+LXafxoL5y5TLpzSYI7UMwuoEdz16D8FACd8wWNY3j7F6jUEnz0S1wr7xcdJqRCPxuPeOe9BzCd0dee7fuwUvCGgQ0jFQZslgN49vfZTJIKKSmDz4yCN84UPv5f1/9zc893mn0puLGa4foFlaOYu/e+2redWLzuCvLn0JfpTynGedwXijppw4TjVizqJeRqcmuOsX9+JoOlEQq2OqS++ZJRE9nS1jW3ndO16hrpm+3m6ed+zpBD1zufFHv+CyFzwXp6fIMy5YjV7Q+Ni3f8Dc+d2sOOUkrrrrVzz7xc9iac9S3v7PH+QvL/4L+gsl9k7vZ7ra4GdfuUFRkV//mlcwNjrGz6/+Cuc/8zzm5Lp59qqTuOTUczm2r8hZC0+kyy0wp38W3Qv62Taxn+OfdhSOO4v9W/axccNu7rpnHTv0Js944Tncs34rleo0ftLg5gd/zgNb11DqNDjlhOX84OGfs7ivl9pkixMLy7n7kXu567E7WZjrpWRLt2STc1afwpIF/RgFl2JHji0b9rLusT0UpdfKjxitTtM9p8BgRy+3P/wg8ePbeOiJR7l1/WP0zymxYdtuZs8dUB1Vj+3fQKB53LLmPrYNbcXOdZAzO2g0p/nl5k18/NPv5OLzXs69Dz3KtsldvPu9f8MxR67CcRq87Pl/yaJjFjF/3iz210aYGquw9l75x98uvOEnmDO/B8ex2b55K/sjm87uDtWd1nKgz8zR6XSzY3I7P7z1ZjY/fjeduQ4uPv1FPLj+PiVIzZ0/yNGnnMR3f3g1t99zFxVrgiWz+4nMhJ1j2w8ANwquimmKi0ukE4kLIv14gfByRfwRXESkHHFBQ6i5OnoU4k3VSM0UO/IIRamMRYhLKDgasaaRGkKsFhHhQCA0NMAWJ5yj0WoJiTSFyFZAEolqOuICkmJIK0YLJeoqTsAiWqyJyUw5B4XKGyYQ2HnS0CD2msRGDr/pQThF4EeK1BvbRQxfvifdcuIijkks2TefsFEndoWGWlf9c6prMF8mNW0ljgSRp4Qp+cWE3aWrbk49ET6vSEUpSQPsDoecbal4rsRkLemx0yNFcBWIRK3RIifimp4SqFhkThLEClYQNkPlYhOxSMyLubxGZPRgSCeiOKuaTRXNDH0dx4kwLeMA9IBIkrPKOSghVAQ8EggwxSaxi7hpSCOSAy2R9C6SeojthMTioDMK5F1xm4UYOYneSny1qfrxpB5BOv2kj9DRHXISnk4t/NgkaYYq4qtHghI+4DCUOLTQdz09T1QP1LVhC6ldXHnS/WYnGHIsheLr+ZgiApdyygGmuvzyOTzfh0hX/YmRL+JyC8ucRNMttU3iooun5Dzl6eh00AQ8U5Frq0icGOqzS2LHvufjeymRCMpiKDTK5Eo6TDUQy650NcbSPWlo+L6lQFOROE/TOoZfh7RFhxkwNZniYWOUXSz5ARPpmKFEf4vkXRFaDbRmUwGOlCMxBsfRVQw2bng0JqfxazWSQg+JF+OnujAxCNM8ehpi6Smx3StMEaykRWxZJGmsSLhuuaCOaSQ9uaZJ2GwRF3sVwbceONQiDasgketJ1fFXmWoq92PUGkM3UxoNj6KZEukGubKtPi9Mq0QjTOjIpcptb0YhRqmL2vg4wdQok/s99b7XLYHXWAqmI+KtXirQSizq0yGN0Rp4DRxHqNUWYVRiXq80UbZw8uICdfAk6l6ZUlReq1knCRoULYmdH57Dc3j+mBGBKnMrzYyEtkde24Wk9sfawRnZtLvd2t1lMwW+7LFspN8s25Z2Wm8G+5CvM4Jt5rqTaaf/ZpTgdhdeuyMr2375ezu0Y2YM9skcG9n6sv9nnWyZa+tg8IlsMgCHWq8IWL+m14qomAlzsm6J9rbDIdpdavJ45mzMRLwMBDGTwpu5+Q4F4pgpoik3XdZNl8WB274n25UtP6PUysw8J+3x3vbrQgSvmdHwg7ndsphzRsTNjmu2jvZz1u5EzDohs9f9PgCSmUJvdl7aoSzt65r5XJmZsJbsusigHIfn8Px3uc8Oz++eyw/hgnsyge/3OXd/rhCQp87Jd/3VXPfQA+QTh8HZA3T0dLFvaB9zujvZtmsfqW3Q8ALqrSmKdo6CaeOFATXp9rFS8rZDp3T4aSbVZgvbNnn33/w9n/vK59g70eDIhYPsHtqH4RZZMDCXnSN76OnswfcaeI0qvhhAIo+l8we475F11FOP/vJcxid3EjdTWlGDnJUjlMhdHNOqeyraZoQahU6Tlhfz3JPPZWJkG+7AABvvX4/Xk3D8wCp27x1ifzjBR156Lm/60k9ZNWcRlelROsuzmAynePWFz+OK//ghvfkyfYNF1mzehe4ndJW7yQ2sJh5dw4pls3l8fILRPaMM9JeZn+umaUR0BDbDjYQnJnaRK1ukjZT+OR1YRZvtjw2R2nDps/+CW2+/i4G5fUz6Htu37OPYVUup1nxa1QDDiolTj8DX6e3sojk9RVosMTU1pkAJuyu78aoBx85fxqc++2Xe8NbLWDFnDpt3D3HEgkFK+S5Wzp3LGRe9gnjPr/jWNbdRawbsGZ/Er+kMLOhgolrjohOO5gf338WcvvmqfH/zzi1UJM+FTk7TOe3c89j80Bo27t0tGUqSRFAHoEUpuaJ4iQxOOf5k9u/ezhff93Y+8oWvMxlFnHfScjq0WQTFEl/+4jeYqFdI8ykrBvvQ9Q5ecf6ZvOvKK7n2O//ObTfeyRd/epWK1i3t6eG9b3sHPfOP50c/+Dq0Ghy/agl6FKNLRLHpccO9D1B0C5R6e5nfW2DOooUYVsDdd2zm54/cRKsZcvmFl7FqIM+uLes45rl/yxc//SGOHlzIMy9/E7f9+Kt87uc/4OxjV1G2jmDV4tkMb9pDx/Jufv6r27GmIu4b28vlf/Ei7t+yAa0W8aJLzmT1kceT71/Ftz73SZxQgrUhN254WLl3jjpqEVs27GSs6dHTWWZ6tEoUeJxzzLG8872f4fOffD/nPutZ3HXD9ZTmzsKs+Fx7z4OcedrT2bNvL7ZlK2jDQP9chnbvpdTrMjU9zv6JMXrdWXQ4KdNRjZ5ly3jkwUeZmB7D6tSZHgrodPI875yn89DGfYxMjNNTNpVTNW91Yxdj8sVehnbsY/6iXvKdfazfup4wChiv1DnyyKUY4+P0ai4Xv+JvWXDMgX/0fOi9/86jG37GM846meedfjZf/+532bhxP69+/Uu5954HmGxVqXfOJw4S/GaghCwzOdDdpkeBSuBKnFBEYV0cbXLN2OLwk5ytkFhtRTqVEdospohHQuqQDL+U+4uw5qCFsYoOEobK9Sedc3rqKKpv7CdK8BIQRGqIm0+6N1MKtk5TOiN1X8WGNcnqWuDkbSLPw/dj5TTT6wFpqYjRqhJpEU6+TBB7OFGoiKJpGikYRq5bIrYWUdMjTiOcnKMimwKoEBdcnOTRcyJfSsRUWQrJJXU8iTL6LXTHloY2DD0h1MTJmMO2aviejWEEaGlMGuvqPRWLyJLEpJqJHrcIpeMQjVzOoeH5yq0npGKJ1Ruq9y8lMizVmxekttTAYZiR6oaTCG/UaqAZjrx10YUSrAsBN8ZKEiXOaKZEMovq8zpsCv03gkAjVVRiVMS0Kf2Hrny2o/YjVaAUOQfyORCCl6LZB459kNhYenJAXPQCUt1RYJZ8WaPatFVfnfzSxwg8zGKnorSn4qjLJ2ih0HINUlOOR6rWJV2J9aZ0IIowFavXKiOg4WKL1hpq2I6pCLaBiEUCzUibmKkIcj5RYKHlYjRdKMgd2IZPo9ZAs7sJAw89FqeiprY30RJcu4zfmlJgGPFKes2IXA68KKVoG3hRooAbegh2PiJtaphxTD3yMfLdhKaGPzZK3+wFNPwGRZX+jYjzFtTqhLH0DOYpFly8+jRBYGDmQJMePzOPb+gK7KH708RJSmqUiIXTYlTRU4tUyMx2Xn0+S3w2X7QYrxmUchJ/B8fW8JopWlhBL85WHbd2TiP1PdVPKV2CbsGgXpfodYpPjk5LAC8W9aRAoeRSHx2l0Gljeh6CXNEENBKL8CodfCmdOYeJ6Tp6rkA+baB19Svnvt6aViJnku/Ga+oqHp04Dlq9SqgJwdkkjiO8VkrJitDLLnriEmoRnR1FkpJJc2+dL3z200/FP18Oz+H5XzWnvvfZ6v8ze8YOBRo4GCziYI+3O+faXVLtvWYifogQlDm+5DUi8om4k7kIM5ExW6489wuVz/4mYjuTbDvTYdjuUGx3sz0Z/OFg7q/258/cn9+8boZj8VBzsN629j66DNYgYtpMcelQcImZ2/9by5/hAMwek6/Xj5/8/1OMnwS4IaLik7njZHskQnwol1/7vmbHKvtaRL9MOHyy7r0/tpsvW8/BrqeZ/YdP9vpsGTMFwYNt38Hck4chHL/bkXS4i+8PG7l2D19Xf979epf/Aev8Xe+Bgy3r93XyPWUi3/XXfZvbHngcP4gII5OBgS4Fl9DjinLbjO2vUHAK7Bjei2ObKrEn99nNpo/pWOrG8pRjVrF17276OnsZnZ6k6Jbo7S4zMjmt3ELi3lnUP8C+sXHlRJBND5JA3awt7u/nF/fcQxJGWLmEi1afxkO79zFe2U2HU8Dq6WT9Y48T+QlxKHdCoOcN4npMYmqcvHoZ1CO27R9mutmgs5Aj6DLp8h32Tk1w4oIVrBvZTtQM0KS/yEuZV+phUbmTfdUaU2mCk9RxS12Ukw76exzmLxjk/h0byU+Hqjh9d22SRj1UEJGJtML0cJ1yTwEqCQsXzKE6MS3GDjwSJkenFWWy0JWjNl6nt7dENWjRUSizeuXRPPTIQxQKRUKjST+9PDE1xKrBhQwHEwRRRGXvtCJI2uUicztPIU038IZnv5yv3/ot7GKB3dv3YpdMjl56NOG4x7271lMo2xw9awFPjOwibxbYtW2Unvku3/vS9ep4/f0/voK+7jwjFY2j5i7g+htv4y9ffjHf+OW1DOgdDNerSlgTsbI24ZNKTFdcRGnCX73gIsokfHvt7Vx26jl0Ll7CWSc/D/xtPOvFr6W/u8TbLn8jf/3PHyE/y1Uajq4lnLB6OVu27pPaRY7qXcydu9ZR0k3G603KuskzTjqOHbvG+Pyn3gPNaeg9iYsveba6mc+XDMqxTnFOP+ue2Mw3P/IP7Ns7ycojVrB91yZuvPcRTjzhOCqBxde/9x98/1tX8+Ev/wNnzTuaL/zwuzTtiG+/60P8zUf+hRVHzOfd7/k8137/Y2zeNMq82QP09g+w6sSFfOMTP2Hl4gH0rl62DW1nYrzCiUcv50v/eS2rFh6puqQqvq56vLQAumcVJVdH0QhYt2cvA7kOxoQwXRGqpc6SOQNMeRHd3f3MWzyL+9Y9zCynm8mJGk09ZHR4lN6Obk5dvYLJqToT9VGans973/taPv3V6/CHx6ilBld+4Tv85aufRytOGFzWx8SOESUQDsxZyCsvezUf+OD7OOmkxfTNXcLLn/cGvvapL3Dt/T9Bc126dRu3q8g7Ln8PV/7o00SJTaM+zejYOLO6u7D0HJ/+zJW89s0vRsvZHDNvNvOOX873v3wNpVjnOZeezakDL+c/7/0i+4fGefWlf897fvD5A2RQbKxGQGqkSqSSrr0kNYi1CCtISTQRrBws1TMWEcW6ongmAl4Q15KoJgIkEBBCIBY1W0VJLQn7inCjHaDk6oUcdhjj6wlpGOFY4iYTOUZ8gw5pKKJeTIh0sok1zaGQB88LiMWVlxjqdaZ8WAkF2E4UobbViA6I18aBaK9l6pQ0j0oiYXaXMGyqeKiKGdfFqdckNRwloGlpoJx6kVHA0HwlHjmGpVxgEksVETj1hHoLhUKKL040oeqWbLyaxHFjRZWVOKypCbJCop4VSC3VE5gIqMIP0U15A4kV0SJIahh2F6lEWimRSBTU8NFMEYUE/NBJSuOAKCfAhqilABVCIg60hHwq8AtdCY9ilkw1W5FeS7lUiUWe16JQLOI3YlK7jJ76GAgFWIiwDbRcL4lXRUsTUqugIpdOwSUO5JNOU9QPMVZG1ZC4o4jWaOGY0lOYU0APcQBKx6KcIrlmcsR4lkkatNR1IF19aRKQCHQiifAl/mqKKzIg9FIcERhdi4anE9cjOsoHOhvFQW2XXLxaSCq9fbqFnFlXri0zJmhIP2BMYOTQUgfXbKhr1Rcwi+ViC6G4FhM6JsU4YiqBUi6vBOy6F1Es2IR6HjP1aQU+pq6RWgn52FA9imEoXX+ucrhFaHRZCTWtgKM1IBJQSU74xbTqNlZex7AjDF8+GjV06S8s6PhT4ryEouvghRKdlmtbx45aeHpRQWCKxQINT9yVTTS3SNysYRQ6lYMwyHWTtmqYoYi6EnMv4LgBYehimzVcJ0fTyBFO1ZSLMlLH3CFoxRTNFlU6KTohXsXDKMs1nVKbrNI1OCBGWZp+nTA0KfY4+BNTtPQixXAaraObIMxh6PKGbpGbNY/6xDR2PEEUWRjFHprVcVzHxAtL9HTLdWpSCXUcicBrkO/q5lP/8v87jg7P4Tk8v5/AdzDK7MxYpcxMsSwjiopYk4l07QTemVHIN3X8rXrOwYS3bBtmCoftjrv2r7Plt8d8Z/492+aZr8mWnT1/JoU1e172HLmBnhkjzfZJxJ5MJJoJ/mjf5mwyN50IazOjoUJIFBdfFofNRK/sde3beiiCcLuodrC4dCbEqX09CE13JrlXXHpynrPI7Mx5Mrpv+zLaoSK/a7LtlvUeDMzxhwh+7a+R5z9ZNHvmYwcTULPrOzu/h4r7Hur12bk9PP/vzf+0iOfh+X9H5P5vj+s+57l/qcr6LeSmfZLRkV3s2rqZPbuG2bhlK/vHR/DkN/mEJHmdKI6I5AY6Z+AmOiUnz+ahvfhBQq0u3U0uEQktL6Kz2Em9NsXqFUvYuGs7bgq95RKNWouC3kAPQm5+7H66nZKKh9m43LV5PbX6OJWxabYNDbFv+w7CKCE1Q1X839XZjZuYpHInEkTUKy02j+zHdBM6jRJzlw7wtI4+tg+NKFfIntoUrYkWQZzQ1cpx8rJltMKQB/fvYX9rgqEdQ7hpCStKaRrjrA33c/UDN9Maq7F3bBK7dxaddoHe7iJ7h4Y4ZnABOd0h8SM0U2diukLi2kz6DZphk96BTnq6y5SMHGZOboItHNsg8TweXvMgvhkq0mZB76RZbDB/bi+tOCAejwin4ahVR3LWOUfTVyzgpZs468xn8OFvf57+3tlUJ2q87hWv59knncmj69dz/MknkCsKpMDggT1bGIs9Ztn9qrNLBL4vfPqf+dmPv8CC7oUkpSIXnXM237/hRpzOLr7xn1fTmRbpnTWAmxdnUcJfXXgRupOiSUmYBk8/aSXf/Pn1XHHzjZy58GiOXLRACXwf/OjfceGlr+MtL7uIVz7/pXz4K1/AKOnML5cZHOhixdxB9m3ZR4+e47IXvICw4HLK8SuoV3yOmDObF170fHYM7+HZ557BEw9ugA6bt7zhUibqNebMGuC8lacxmWj4TZ/nnXkBSd7m41//IcxdzQ9/cTt3PfYIP/jej1k8EHPWqUeq6/g9r/84fivlzJNO5Gdf/SVBf8y3vn4ty4uD4O0h8XLs2TPMOWc8j1/e/SsG5i7g3Z/7HP1HruS+ex+gd3AO9pw8195+G52dnYy39qnuuEE9YPlgDz1zZuNOtzBbIRtakyydNYdS9ywKkcecvi7+4++uo9RdZnB2H+effhp+vUZlXxPfSlm4ZAGrjpjPKcefgDU7xwWnnoene/T2DiCs0wHjAnZv345tW+j1Jq962cV8+0PfUl1g0Vid71x5PV+/4qeMTg7xpX//JJHlMbJplPuvv5PtO/YR20PM6xmky7b4m7e8iS9++jtc8R+f5EXPfz5ebZooaGJoFh29Xczv6Ob97/xrvnrFj5jbW+DxbcNYXkJnZzcfffMHWHPbLmad1Msda+9j1clPI1w+xCUnLMW1NQpailZwFG15bskhyefQpRNMMQVCUumpk7ii0D9FHNESlV40Yw3x/0k5v6U0rJRUuvgiibdC6gjp1VLituua5HWfgFgJcwJDiAVkYVikeo4o0kjtGDOvK7iExGzFTdSYbirCq54WMCwdzXYxjKJyy0WBQShxWl3Iu5r6JUPOSDGigKlA3HS2cq+6bgFdSwkl+irZTttV4pOtN0ikL7ARYIlCKEY+IfAGkFNRXSHAGuRMD9P28QT+4ZSUWOk3E9ycjmPZtJoHXIktXzrxapBYytzoex4NcUoahopEu5YQWaUbL08cC2QhwDCahEms+k0JwcqVSEOpLhC3nvS+aUR6hG+5Kj5rJSah4HfjmERcYyWDwG+oPsFaKMRkA7cgDZIJmvQb0lLgDE/cWmKKNMTl1SIVZ5+lYwYC/jDxWk1SOWumKWcITY6rYRw4nm5Odfjp4lokJmckSoTSjKYiwdaDiEhEK08AIRppY5rEk9oDqQYQ8rLEsqWHT4jMrgJJSPeeq0FnJ8RmTNUzCGOd+viv49lWAfwWrhUR4BPXmuiuTcsookdNDGoEcUxoG+SsCDm04qZUbFypisDAFTequCRjeR9YaCp+WlECvFCG5TcVYUOnKp1yWky+kKect7DtHB35gGZoYAQV5cZrcKBrUUvzOG5EIZoi9A0ELRyYthJ5m5UIbOnoM/FD2Qeb1Jql3IaxXONBSBybVGvS2deJXuhES0PMYh+WIc47l7heQXeLIOKqpROlHi2tS7ljW0mBhvx8CqUjtiC6I6lEvX1xS0o3oauOnbxvjWKB1Beqjk3BTgi9kImaT6qbpIaBKwRsEeD9AF8T+nKMq1eIExNXroGJfeixTz3uxOnuJvSaWG6Km3coasME0y08p6j+neAUDQzHpjJ6OP5yeA7PHzr3fPCG/0OImhmDzOKv2feyr8Vtl4lh8rX8X25y2wWzLFopwkgWvWyPlLZDPmZug0wWkzxYrHemCCnrEhEn28ZMNMxeLw6s7HVZnLM97to+Iki1z8Hcchm8QcS4g7kIZ74mE+pE9Gonu8rIY5nAJ1/LMrOYaLaP7cdBvpZev2z/DgaqmPma7O8iyLULTbJNWSR4ptglf1fC7AxBsF3cO5hLcCaQYiaApH0OBrzI1tu+TDmf7c/NHKIHi+L+BiBywUt/6zXtIJn2a2zmHCx2K9MeSX8yWMyhXi/H42CuwaeyyP/w/Gnm/3WB73DE+L9+/qtdrE+ZyPeD//g0Na9OUmmoG/C6uANMHa/lkdcMls+bQ2e+gBe2aI01WTB3IYamC4gPPa/TjDwVKY3k+dLfJW67IOT1r/0rdgztZG7/XO5/7GEW9fexb2KEfftGVM/R0HCLkaH9WKFOI57EVB1KEfsbEyzsKJF3cpy6fBGubdDZYaF5QhntoKOnxOJSF/O6F1HuybGgfzF136M6lRA4AUG1xa+27SSfd9CLBpXqJL+45peYccK07XH/pg2q289IoFVKeOGLTuXCy89l1779nH7EcZRaCecdeQZnPf1MghI8sn4DsxfNQRKIq5bNxY8iFs4d5Jmrj6e/VJY7cuphk0UDfcStkIrfxOl0cXN5El+K0nO4rsXiRUdTLveR1KWgv8Xo5CQT4yFT1Qq5QgctvcHyOQtYsnQ527eOKxqpEBavu/FaigWHc056GtWaxy9uuYU1D69hulXnS1/7Jn41oK94BP1GiWjI54HtGygvyvGvn3g/96x/lBtvvYWdO3bx8G1P8Lmvfo98rkS3a6sraLJRYdPYFkUN7env4ro77iJqHegBk/v4Bx7dxEUnHqvEl75SFx2zF/Opj76NO9Y9wpL5i9k/JWJvgbHRqgQ46cj149V0dg1XaJo6dWKuv+ZGHt+9jrUbdvDc88+m1aqz9uF1dOgFfnbDf7LizOfx2L0byRe6mDd/kFk5lzWbNigSppcEHHnsGWzbMMS3vnk145tu4d0fuILvfvxdfOA9n+Sa62/n9RddzM0//glvet3LOfdFr6DryH7e8E8vobd4HOO7HueFb/1HcOehuzrPOfccvn3Nt3nny14jP8LV9V8uhhx5ziLyRZ/K9hpXfv0aThxcyouPeja5Qo53fe7DPLh1Nx1ayj9+/uv8wz++i167By+o0UhSyktnE3VZfPj2f+TRTVupVMboPL6HQqqj5VIWdc6BXEpeK1HoGuDchcdz35oH2blzmOpEg2KuxDs+8lq+/40rKFj9lMudJN0h1ALMnIXb0vjov72HDdWHOXXRKayaNx8rtTn6ucdQiMv86pofsWHTLo6bu4gTZy3lfR/7hNqvR7ds4X3/8im6SyWefuRxJG7E3O5erDPLHLuqXz3niQ2jVKbr/PTqnzPfjfnhbVdT7R3lno03snLxIuZpNvd+9wHWb9vL1M51lCSWbgTMmttBvbpXCTfz3FS5lTTTxOx0FWRAyLu2XcBI9ANF/dL3pVQyTcW1LRHsoxZirBLBLfJTQrnIAumKswgCiVaKWCUmLVM5i+LGgWhwKo65FELpTxNRSEjUZorratQbHlFSRxOXHU2iSFxo3gERS7fQRcxGyL8GmqWhFW1Fa9VtDcORTsGqAl7kLUNRdz0BYYibLG/hWImKxlq2h1GS8sASpmWqz5LQzCvRzzccbNnu0EfTW6SBUFqlC01qABs4BdnfRIlYSSg9expBmGLZOraiafjYpsArTFHWiNKEkiMMjAKx5qh4aV4JLeLCExOgSSss4ac+Ti4kiWzwEmLfR5MqgCDGtE3lOmxOJiqua3XkVdeh2WkoQcgTXoRdUvHqJAjQdJdgqoYnQqwj2o9OmORJpXPOCHFNDccUUS6nosYtPxAjHX4zxE4DAqeLWkNXny9JLPRf6fV0aPio9TriVEQj74QYVgnDEuErAtfBFuekZmC6uoI4CNU4SnT8VojnxSqeW3TrB4jPXQUiBWxp4ErUO07Ii43SdhSUxNE0LDNHKBCMMFWf96nmEFYrxOK0dk1sN6e203J0fKFfpPLzL1au5lagk3M0IrePKG2pfdC1HGao00wSxlugJXUqdYeoMEsJn6npYHk+eT0l1CyCKGG0aqEJaMZBgamcQgnXcXAMg6bAMRxXuRaJ6/hpkVypm3K5hFnuQpcfyFqDNJBjq2EE09SqooQ7OOr9Mk2HnShwh+u4aPVpLNekKNFdN0+t4TE12VTvSd111Xs+TlN6ul30WARvg0JeJ9fdpaLwZl5o1NPYNiS1Brab0Gy0CAIHU5P3mE4y2lAORPw6UsPoe7ESS4uuuGgT8rkWfZ1FWo0a9cBV4Jd8UCeqN2hOhMR+FUvcr4fn8ByeP0roy/rqsmnvS5sphmRC0ME6/DKxQuKX7WJIJuy1O9AE9iFCXybqZGJVO7FXpl2kaV9mRr/NtkEEHPkjEeD27cy2P+uLOxg4o305smwRmLLHsi61Q/W/yfKydbYfq5nC20zH2G+67tq2qX2y45aRi3/T4feLHygRst09+BthtU1wezLaa7uo1C5IZQKenJf2Drzse9k6ft+eu/b9OOj33vb2/8NZl63vYLTemc89VGx2Jvm4fVsO9vXMkeMrf9qJyu3XSwZ+yfah/TmH6mJsP17tLs128eSw2Hd4DjV/6mvj/3UR83/S/LGdf0+ZyPer+9ZjC8WPgLyjE3kp1Wadvjm9VKt1Htu0ia3bdhN6EZ5fZ9O+LbQaLUzboNXylTPCS3y8GPYN71OEUyk5f/8HPkQUeVQnx7hg2Wp2D0/R8GqM1vaTmiZj1XEVwaMeMKurhzS1lfvNijTlUDilu8xzX/UatNgibmnYRZN80SZfNtll16mYo+ommXCcNNJoBC3qVZ8ndgwRiNPQtYgb4poJeOkbX4SfQHPKx68neFFEreip7qPbH17Lpvt2cf5Fp/HdB29m6ewjefWb3sH+sT3krBJhGLBpwxa8Jji+gT7YS9HWaUQuX/jqd/GrNbFv4IQaKwdW0ds7iFbVDjhwCi6uU6AQd7Fh23r2j8q2gaWbiia6fP4gditl396dBK2QdbUneGzdfaxYvJDU1fCrLSphi3rcYsv2vfT25nH9Bq864ww6dJvSvCJmh8umoUfRO02OWXoMs0p5GtWAW9bfS1+5j3e99b08tnk3oRYT5QLyEstKqvjTMYlj4IcpLz71L9g3OsHWJ/biFC3OPOoEegZno6U6a4b38bNPf4Q5Ryzke9/9CccfuQK7Yoo2woMPPMr7PvEZ5TpySzm2TW2nVq9yxjHLufL556ob2hde8BcHnCT1gK37d3Du6Scw1hxS8b2ewfl86XOf4Ec/upt5C4rk7Rx7JyusPuFYFvQPUpmu8PAj93DiOS+DR+/kn//l6+qavfjv/5VXvuWv+bt//HeYfRyeEbF5ZBeXvvAiescHOG/+qUzeej+9A2U+9N6/h/XrqU5MceVNPyScbPFvV3+bfRt/zgM3/QezCh28/JJ/4oUvfDt+o8VVP/0svT09WD0mZ5xwOudf9hpOXbmUFYuW8q3PfISPffJj5EOYs3AlZcPH29NiiTlIsRWwrHcuiWZzy5XXMTw9xfNWP4Pd1T1Mbxqh1RgnGNrFvY89wh3rHlYx7vVD23h460ZSJ+XVr38Xe6b2klopLz/nWTzrH1+qoBEDq5bx7r//MD+94vucevx8GnoRS89z1/X3o/V53LP5Lmp+wFSHTdRh8qpXvZLrf/4FbMNm/kAfvX1zqEQ+umdyzZ130rvZUILLJ97+PhYMlmnpNfp657JjxGPb6E5Gtze46orv8g//9HmSqJ/Hd2xm19BOjp+3mKEn1pBr7uO5K45iImqqEv5hvXwgtlmW9v5UJU1zhk6USIBSeuc09ZgUnJl6hG1FeIGrutAETyvU7CQOlGCk5yWKGyjHmhJ+hJiDkJ49jIKIz4nqjJRoYZj44KfkiUk0k6YXU3CFTquhGQVSJ4cu3XnijBMBxpuCJI+QM8TBlgqaotXElKhslBA0BQTikroFpscD0kTccII9tWlM+MppJ+JT0grxp1vEcUrqJlg5GzuR1kqwrYTItnBMg2hKeuhMBROJY12q7CDM0fQN5aqU6KYtwp3YqXQIVHxVxBlH9YxGctzMHM26dPSFqvtRSgf9QMS5CEvIyYaGnlaxhLgaucrNppclomzgpCaxuOFkHxGBLsLNlQgqGqk4DWs1DMNCD0A3A0qOpbraLKNJ2tmniL1NT6oMEoykgZlIR584InPEUYzhVQ+IuYamwERm1FRwIL9ZQYvqqtMwlr42q4AehnS6mhKJPM1DULdhJaRZEyhGiF3oVoTb0DMwJIbdEFehrwAl4sRMXRM9J/teJWyZJHZJOcET8hh6kWZokvg69djBsFwM1yLRU0yBfUQ6uYJzwA1uGDhK7EqIggZmTkN0Pk3TKRWL6LaJJX2KfkwOqa/QsLQGrp1Ht3XiVhWjpxPbFy1R+v10BTYKGpPY0tXYFNAMtJKUnAA0nBzFUk5FmCUOrWkGSWtSdbI2KyGW5QjUWfVICpxXjmmzMUarWkOXqLZTUC7JKI7xtVCR6y23oPoBjZxcB0Umx2vqGHmRSaSbBPU6Dd+iFNXI6zE5LUZAwq2WRrFgKBdj3bOwHUcJ2v50RX02JRIZ1ougSe9ugpEvCLqFhp+jPKtIvlti5x5aqUykFdDtHKLSm3aE4+RUr24wMUKnGVAZHsUudtDR3YlppOq941Cja7CL1Coq4vLhOTyH5/cbEdjavxaxKBOqMnEtc8Nl0dzs64PBN+T7Mtn3MgHqUCKMTLY+EZSyP7JMcahlQs3B+s+yuGq7yJY9ngl02ba09/Vl25bBGEQEa3fsZXCPzIF4sM5BeTzrv2rf58ylmG1Hdqyy7WsXTH8jPv5aKGunrmYOu0wkzITBzIkoz5fjljknD+ZC/A104yDdigcbWUe2T5mAJzFu5bQ8iAiXTUaTnenuO9hk3/+NKPkkMd9sfQdzFR5s2uPJvxEGZzhRn6wfcWaHo4xcQ/KnfZ3tX0uv30wRMjvP7cerXfBr31d5rojH8icTn2X+J3SrHXZ0/WlEu/8J18afy/ypBdH/6vljI/9PmcgnLpBjVi7luKOP4fI3/y293V0USimPPbwJK+cwu7+Xht9Es8XFYkCQ4LgGjnQrkVKtVvGCluqImm5NsWH7Fub3FGhFTcJ6i+HqGD956E5ifwrbcVk6d5CFfQV6+ztYtOgITjnrRLbvm6C/5DC/ezbPOeU8Nu7Zzr2VGl/73BcUoKMr30OpJ8fO/VOMbRvFwSJqRES1kFvXbVQuwDNXnsCKxUdQyHVSMl1VOC5OKHEXjO6rqDJ7GUPXicKEfOjytNlLedqik3n8iR30eR0UgjKN0QM/dO1ygbq4b5webC3HGScdx8Ds2Vh7qyzsn0NHQeOCZ59PPZJeK4djTzuFqtYgGRtVxyFJfZq1GvtGdjDpV+gMAgrdeQaOOIJSRycff+3b6Sr3KgJhvqPEiy54FvOdPq74t++yadc2Vi7r44jlcynlcsy2Oli/bT3veNXl3PHoFjqX9tH3jIuojNT58Gtex/knPF0KAbngzOMwLJM+o8g5J57Jp//tSj74uQ9wytEnKCJuGMXU9JAjcn3YBROnS2JbKV//2Y8o9+SVc+f0VauZDIc5Y/Ygf3/ZxSwpDfLlr9/E6ee/hNVHL+eTX/k+5z7zNLp7e9kyvBdyMYODnbzoL87jRWefx+KjljJ3cDZf3LiNxYMlvnjDVepmccmCQfaMjHL/jt1852vXUQ08hoZ288KLnsn2eA9PDI/Q4bqUkoZylTSChNf/5WW86Y1vZPN9N3LDjp3sNSe5+LJnsWTlAHp3wvve9VrW/+wb6qZYzu7q1au45qFruOOhO/juTV/hlX/9RoKwybc23c3RxyzB9xNWrl6i4tZOyeGWB9Zy5Q038bNvfILrfvoVnn3GqVx32+3c+chd3PbYfdy6/k7OWbGMB7buYtwbRe8tsWNqkkeHdzLnyBKL5h/Je97392wa3U1nb5m42MHcOfPo6SnwkmeezXfX/ILYSxR0Zc2e7dj9HXTYJY5ftpzHt+5G3k5HzpvHLLeDubkCX/vq9/nAP32elauPY7CzzN+8/OW8428/xN/9w+Vcct7T+cF1N7JjciOrly4haVl09A9ixhYLB/q571cPcMt9a3jwVzfznL94PUZssGn3OG9+y8u54LRjlXP0xh/eytX33ku9nvDOf/0ADc/gi//6dVb1L2P2QB5dOtdIuew1L1TvgY9d/c88tnUbG7duY3SyTmOyyWSlytdv+BanDSxmcu8oWt5BzFlCz0w8E01Fa6V0T3rYIAg8fNPBzNkEAp4QWIQeYxvilhMhyyFnOkI4UAKnIa17zoE4oa1FmEYsTWU4IUroEEduGLtEAu5IG1QDW4ET7C4Xvx4ox68sP2nFYFnKfecHHprlkibSeedgBVW80CTQDHRSRfs1hOBrSTw4Uh2XEh9VLjP1yw8TW4T5+EBcs1gS4IDE7i0EkSqu09gSgEOC3qgrwmpuwMHI60rUEJdZaHcQB9MKmpB6TXQReGKP2HaJogJJOIXsadCoKPefiH9pKMKegy8CThhhJz4pdXXd6FpAtZXgWCVMKUhI6yRGF1ZTDn1CICKP6aIbeaJYI1dw8RseloAkYomFagRNX7nFvOmIoBnQ9AVc4RJ7DYxY+gpDFZGWc5IUcuiuRqBL8FpovI5abxoF6hgHukm+u4TlFFTcWK80kLo8La2RyPeTRMXpRZRTkBa3jFM00UXwDKbESKicgtIFqtsukhMuGk3y5gGKs1B8tQMoZPArNOoSU/aJ05aCukgzoyE9kb4IWiaG/OKp1VTiXK2WYJs+XkP6NRPytohnLt7EAQe6iJUtqazQpeMRbKmi6ChhCC1DAVNiQt8nZ1roUxWxqSo3uzgKHQFjRC1aHOj/cxxxc6aEfoCRd7HsFDS5VmXfIjxPpyhwGMukrElMWldxWLsMjpB49TxWuQOrUMRvxViEWCK+5uYokTwf1jBIqVUCOnuERJ3DztnkSyV1fVsCuxHnaGBiljpwijaNZopTyuP5CboW0qxO43TklHhcT/JYFHAFmBNVFa3YTGvk8roqrxQEU9gKaVQEHiNCe5VEjmsaUmuawspBQtES6U6tHDv2G4R9i7HzNlpOJwhNbOn3FRq018AuyXvuAE378Byew/O7Z+68AzdBGclVhCPp12sn1bY79jJy7MGitdlkIlu2jGwdh3qu9LzJ+rM/WVSp/QYtE1PaBbr2rrmZ7sKZAl3WqdfuJmv/3iusH6mvM3Lvqt771eOZ+ysT2LLXyuOyfe3HJHMpHixG3N4XKF14v+Uk+3U/W7a/WfQ363KTP+2OMRGDJFYr682Wr+KqM5Ypom0mLh0MCvIbga1NRDwY+VXOSRbjFTE0+/q3zuMMd9+hIBu/cf9lgmvb834TrX0SobBdIJy5X+3LaD+32WTXw0wXZfa931pPW3/fTGHwYD2IMx87VIRX1pMtM3tNewT+yVyFf25z2NH11Mxh0e6/Toz7rzq2l/8JqLlZ397BxPU/VHB/ykS+o5YswVFdQQFXfecbzO0fIKwaDC7opGQVaMjNsrgIokCVaR+1aDGOZtDT3UdBYlyJRtLyaTarxHFMV7nAXevX0Z3L01WQXqQE249opRHNVpXNm/Ywt3uAZtNjx97t/Oq22wkjn6lWi65CgROPXcJAuY9pIfo2I5ZLh16pyvRwSzkYml5E3BKhLsXzIvw0xo9iHtm7iQ07tgjGk6hLoxGHFG2XfC4n5h3V32XkpU8rZd6sPmZ3LsXyYf/kCI2WRGyLzOkrs7MxzY++8XHm9HQxr2MO+NOc/YzjsOKER3dux+0scv/QRtZt38KRx81hVk8HvQvKbNzyKHbq0dU3i0ULFjB/YJAVyxYzd2A2Jxx1FEc9/TiOWbKEZ520iGOXreCH99ykKMWnn/wMBQW56fbbVB/SJS95Lk4jx8NrtnPrw49yzimnsvyMZeweGmP+0Wez+mmL2B+XueyMszl2xSpKOZtW3Wf78Ahf/PHVKkJ9xOBiet0c7//o39Ht9rF29wbKhk3Rtznn6At4tLGfMEw4e8EyAi/COaJTAVQMV+e4407j9CNXcce2jXzvwbt5/oVncefW+/j3f/8AH/vOt1i4uJeRrWPc/NDdyhi1ZMGAOg833H07Dzz+BNN7hrnv0U2s3zDCxt17WdLfx+pZ/eycGGf+wjm8+Lin8y8f/ycSy2Cwq4NH7ltDkiZMD40p0cecXWbDlq1sHtvG9Og4hA9y7Q230KrXKNs5pibrBLsDBvLdrDz6GH52zyNs2biWga4OHti9hmZUo6NvkI5Fx9Lb0cHchT34I5N8/j9+jF102LJvP6NTY6y5dxvze2fzD+/+FD/51d1s3bKbr91+Hc8+93zSss0pJx3L/NIshiqxinynZpFXvPx5CspwzXdvpM/s4fu3XsPPfnQjR/T2snfjRobqu9gzto9yzwAPPPgopm6xdM5cVZy/esEKguFJugdKzO+bS6mrxII582lpAfPmHsELL3wNr379JfzgxivY/NheFvYt4KvX/ZS3vesNrBxcxX2P7ufkk1YxrzSXUqTT3dNDdfde5h95LNt3T7FkfplF/T3s2FMXuYOugkm53+BHP/g2//yv3+S0Y5bzN39zKVEaMhU3qe8N0IOAz3z0/WwaW4+nSKg2c4wCnUcfAdE455+4ghOWL0DPu6xefDQrj51PfcKj2fC4Z88Ypc5O4viAMywJdUXAFSEjEtFPABMFF8e10cWBF6bYQvAMIgUKkCiqKCqJo2Pquup+ky4yIYCGqUlkSm+brSKZQgxtSN9fYhI7IoWFCmIRBTlKnS1KBZu4GilarBYFRIFQaIXmK/a5gMQsqIihACS8WKca6OiBRpjaeKkmwV5SQyeUXxx4AWGkqyiyptfRSBUdFRE/RGMiT7UVkStZ2HET3C5SLSEKNXRDKKUaYcsnrAtIwlRilbgWxREX23kcSyPRbdWFJ110QhlOkxolU4QjDUtqC2JZRoCdK2MUJHqbilmWRDfR7aLqVktDB0d6VKMqAuA1rDyWMU2cOwD38JoWfm0UK23SISTeOFRddVGQ0ggOQB806YBT6pgIsgaaUyD0AswoIU59BX1I9ET8mIiRMJLjppcIFWE4JCn2oDsGcaRjCRBDHIthS7nZwnIes1RUHYOaiGRRpEi+cbWmyMe6kajIbyIxVCmzSwVY4SiBVqKznpZXJFxhgOesGCeXYBTyaOo4Wmpd+UJK5Emvoa5iwVbZwvdr6LqHFxjo2gFabLkgkeMylpWSahbVakN+DCjhrxlZBL6Ha5k0Q4F1uGjyOTNWUz2ToVnAa9XJuyJoBRiKFttCC+tEVofY8BQK2HQdLN0jDERQzZF4TaLppnKZynUVe56i35p4eGlMoasbTQsolQ8AbOrNmMBPSFseUw2P6lgV07bVL6SSmvT4TRC7RZpaqnr53IKlnN6hALBI8apjmIVu9R4w8ilNP8AUgV1OdJRihnLOPMxcB6UOi6n9+zF1UzlZjaKJ12gSpi621qQa5pgcD9S1ZWktDL+B6QjQpwPTLKFJ16JrYVgatuvQlE6+ZkKpq6CgO45fIRit0BoZp7crphJ1q/dRNZQIeh+aJ2f18Byew/OHjAgO4hAT4ahdvMsEoPZpF9Wyv2f/b+9bywQLEYkORZ5V6/i10JO57OSGRZY1s3ctE9raY70zxbf2dWRdeZmDK3MVilDVLuK032SKcNEuAmVR3ZliUrtoOBMe0n5cMpdi9hpZlsA22tctTrhMXGsXLtvdku2usEwMypbd7nKcuZ0ZQXbm/mbC4kwx7aD9cW3LPFSfXnYOD9WLN9NpOPNYyd8zEIgcj3bx71AuuJnbK+vOuhvbnYIzj+H/cS4P4VKU85tdY+3iYXa9HwzU8buiyyIezxQas7h5ts7Dc3j+tzku/6dd9197Egfd/83xzsTDQ4mI8vjBxPU/VHB/yui611z5RY465kyu+Onn2b9zP1beVT1VxyxewFQjVjFRL20hzfMDHX0UxdGR6MyZ188Ji+bwzV/cCUagxDa5WZECfSOKWXH0cqaGhql7PrkOi+58ryJq9pSLHLFsqQJSTAwNsXt0RDlFBnvnqGjbxOgwY40KjaTF2FiVFYvmsXfXXkzdoRKETI5NM6e7hK7rbB8fY2Cgl8FcD4/t2ooj/VFayqzOEvsrVTqdHOcdfzo/vvMXpElCb7mToBHR1QkFs6SK1lcsWsDd6x/j4nOeQ86NufbBO6lMVnnVRS/lBzf9lOlWqCAYNb+pbmw//KrXM64n/OrOO5SoZWDQCkRISHn7K1/PBc++hOdf+lyc2KGaNijpearBFPl8jjgI6RqYy4LOWQz0dbN922YsNCZjjxOXrcLTWtz1yGPM6hvgic1biMIYx7W49OKLeMVL/oYrv/Yx1qzZRLPW4jUXPotrNtzL+s3biWox8xZ10hyLKDg2UQkuPvcFXPj8y3jhy59Pby7HeLXB4Jxentixm64Ol8HOWYzkGkSVOo3pmCvf+z7GhvYzXJ3mzgfXUWuN8Il/eBv3PrSGRsNnaddCvnjTT1lqlbl+7+O06jFGnLJofi9Fo5ttE7spdOZVl+OS+csZnthDrdZg/kAvO4YrUiPF6YuWkyZNUqdMZaxBPZ3mkx/7Fm9400soOw65UgHNsfFijY+99zNc9d0vs+axRzj2uEHuenizAhV06CalzjyF/tn86ub7WHnUPPaMV1T07nlPO5H7711L7+xZjLfqqkdQXGi9vd1s3rKFi55+CqEQMac9NleGKLgO+aZHkivTrHp0uUV2TQ8z0N9LWPOY3bOQfY3t7Gt4uFGK4ZjM6upkf30cL4hZUejFa1V5aNMEL3nZedxy2wNc/PznMDY8Tsurc/0dd/AXx5/O9r176e/vI3UNyp1l7AAue/3f8c8feDcLj+qmtm2aLsqcePFx/Og7txBqUzzraS/me//5NQUb6DSLfPJfv8EdN/6INY/cR9+iZWxe+4QSaBfPLVJpOQyNbiYpWQTjEbNnL2Lv3n186cpvct23P83NDzxIayLgrHNO4WWvfRuf+ehHeOu7/0m9/5OxIb7x/SvVcXrz372ND3z2o3z+M5+guGuuqi286GXPpNMtsrRrLpdd9iquuu0qHlj3GCvmD7BH6yWJNBLPl4Iy9CBVrjHD8AhjcWkdoOPG0jMX6AoSoWrTlNNMV84wLZUYqUvQEnqHOPIs/KkYS1xOSaKiiOoDTyKWEh01YuUqFoekOMZEtEvCBqVyjmZFHEsGQUvI3aaAkFVcVyioumGSJlX0fJmgWidvHqDzCkHUUaANg0h+IeHoGImNFzbVMkT8EjFQb0wrkqohrkPTppT38Lxfd7oZMc2GIBxEDNSgFUGxS22XY6fEnoYmYlgaozV80pytABxpM8Io2URRRJwzybWEjuph5vMEzV+LlHLArLLqZXNs6Rx0MB0TLBO/3qCYd/EF4BH6qtNUT4XsGuKLqCcHTsRbV/jYMUYqwpdImg6ma1Kd9LH1iJxrKlchbi+pCDquQyDQCS1RrjA/EheXuC0NgiBRLkPTLRDG0nfXwCx1Ylam8E1bdQsGcajOTVPOeRoQS2ehDo1KnVxBVy5AKRZMwzqxZmHnTcLaAdp6JOKfLpFrsYF6mKlGS55r5Q9QZWONfF4jSjXldFM0X3FKIiCWFprWoX5pYEr/n53ixQaRAEQMW0FVpK9RhOSOskXL1w+456SY0GqS6t2EQUAc1Cm6RTyJmJtl4iSloLeoeAaWJR17TfxIo+BENOsR+a4+Ws2W+vkjgqWXaNi5vBQV0gxiOksFJXBqsTgjNcLaNIlTwklaWI5Fw9dw9Vj189WbmurGc/WWAv8YDR9dFF45D60Ut8tScWLbNDAkBmzmSJp1UqleSARsU8d1y7QqFXJdeeIgwQt8bCNPoxVgJk2SXBdaUCPJ9dBXlBoOiZYnNGohxf4yraqPpXl4vkMhFzMt7tA4oKNYIBAHayzvwQJ6YhGFgRJDbVccqYHq08zZEXGU0lnOKbCIEJsFLlIuddCYGMYqFvjkvxyc8Hh4Ds/hOfRkbr5D0Vvbhb3272WCVPaadmKtCDcizGQ00oPFSmUEgDGTBptNtgx5XCK84nJrp8zKug9GS22fTJBpX/ZMgUZuNOUmSkS4TBxr37dsv2cu72D7375fhxLCspiuOOOy17VTgGcuq/3vM79unydzhLVTd3/XscrEtd/nuB5qfl+SrszM9WXnY+b2/j403SebQx23P2Sy45gRlQ/1/YMRd2Vm0ouzTsZMPD48f9qR6+5/M/34fwIh+Kk6Rx/61Om/9Z77Xcv9c7o25DxlZPc/CV330a1b+NEvvs2uvXvx5B/npk89bakerd17d9HfU6K72MGcub1UjQq7G3uxcin9PXmuvuNuBjvKHDUwT0E7Ooq96qb91BUrVTm+xCNLnT00mzHv/YePMjw+xW3rN3LVzT/nWz++mlt3PsG2sQnGmg1u27kGPQp4eOtm8rkCQ6MVothnZGTiQMF8AqefdizPOrHEaSeeyPmnnI7ZYTBWmWDf1AgvOu8ZOI6B1gmjWgPDlZvMgP+861aesXQ1C3sXky8V6SzA4IKjCcyYWIe9e0e46MwLmKrtZ9PWvewfmWJ+aQ65JGY6CDh68RzGmjU6JbJXdPjgf3yLD3zuCu6693G1/F7N5cxnnIzp2Xz2a1/i9W98NV2dvQRp6wCx0QnQIl0JMn4qpMgm+4b28PjGjUy1GuybmmB/rc7Nd93Btb+4i6WzB6E6xZzOXkW8jeOIJzY+wQff8/esmL2QK77wDZ515vE8NrYDb7JJZ9TBrL48+ycadHX2syue5Fsf/BT3PrSOv373q6k1a7TCiI6cxea9e5XYKbdd6/fsZnBKHJEQVALe9OEP0LtqMd+/6nb6ezt4/Utfxu49u1Uv1md/eBVXP3IvW8b2Mt1t408ndHfm+NwHP8DQcJ0dk3uEvUxtvE7eM3li50a8MOLici9vv+SFDNhFwumYnc1pRibqzO7r5Ygj5zFRqzGx6U7mFsuc/vRzWbtnBzu27GWg0MWOR24kF9XZWx2lXtc5ZvEKFb/r6u/EyPWwZdsWLr7wLHQRR8KIxaVe1m0doqElKkrcrIbs2TGCmzMZ3TnOQP8sfnznfTy88QnOPvcEanUp+bcwjBxPDO3lkaFt+AWN2V19VOKY+bPnUU2bVBo6R86Zr+jG55x2Npu37WNyxKO7mmN0bIj9jYQjj5nH1vX7ydkuN914N/v2T9M32MupJx2PlTdZvHg5naUOrGqC1YoYn5zkQ2/9e1b19TLHWcCqs84kP8vmX//9SpZ2dfK2t7yDhzb9ipNmr+Srn/kxJ684jvvu/yVf+el3WHLiasaH97DihMXYhZRyuYOSFbNiyVG8+k1/yxVf+R7V6jD5/qZ6fz++5hFl1dKtWL2f3/jmV3La6Ufx0suew0XPP4/3feKfWDHnZN784jdw5Zc/x5te/VJeefHlSuB72+texJv//Y0YaYTmNPjEVz7O6MR+6kaTVUesZHL/w0zvX4OeP0BbDaUOTuKoqaUIurFuKDFenGFu6qFrsYIZxJqJUYjUh5gtDikvQBeysHTSNaTnTJYl0oCJIX1vhRQj72CJuKdb2CJ+iJCjxbhaiK2X8GMBWaQkfky+o4gfxBQEQyu9c3GCJrHfJEdQrYKRpx4UBc+KbfsEKj5qqV88xM2YWD7MxNGV7yRNpTsvRErWbHHLFS0lhAWhRZjU1WeUl7oU8gXRoDEl4KhJQnMaI5R9diFuKRp3EsZK4Es8iQ3bRLZJ0PAJW2BVmkg4MzEdtFCItRpWIsflgABkWjG2AHPQVMQ0rNXQVfBRPsdqNL1QUsGYZqB6P+3EwzZSdMdBj5toXkqUStxXYrZiLk0olMXl7Ki+0pguJR6J405IqyLEJbKNiYmp54hNh6TeQlglAlnRUwGWxOTLGrrnERgSE1WKp+p781Id10wIDYFE+Dh5nXynRRhaSgBScIy8g6an+I06voi1hgBZNEVpFuqu0LWtUgFDBPakSa6ngGXqBJGmPrc6SiL9imScKneZruVVF2Ai5nNTIwwFaCGAD+OAW1BRRnQlCtaakHoSN46xijl0IQV7LQp5G6dQoBrqpE2fxPfI603lqMs5Bq7mYQhgynLwQhfDFrhMTLEsUV+55hNMQ1yUPhE5zNQkaFUxpVvVy9Fogd45QE6L8D2TWlzEci0CzaEl14FrYgqEoxaStCLsXEgcyTVmkOvOKyiSZphUq6Hat6BeI5aMsd8kh4+e6wK/Rmq5VCc8NDOvemgjTZyWTbrmzFPnPxYbdtOn2owIfBFVxXnp0pxuoOUGiOKSIjMHlabqXTRyZdLYR3O6QXNpVhroEsW2TQpFA9uMcL2Weo/LZ2rO7SBoxZRtnWpkKaG0WZnET1PqImAfnsPzv0yY+79dRvtyZvbGtTv32sESGdlVnGQHo4hmBFeZTODLuuRmPleErvZOOBHtsuVnnW/y9wxUMLMPMIvVzgRTZLHIzN31ZOKQcvp96l/VTVNGrM3WK5NtcyZGZfHPdkda5lrLtk32S5Z56eVv/T+cXlknYDaZUJgts30f2//eDh1pf7x92tfzWw66Ntfkwb7fvr8ZwOTJpl04PViUNusonEkpPtjIcW9fX3Y+DrbOg+3noeZgUdyD9e/9IZNFlmcKfNn1NlPQzVylB9uH7LnZeyvr6Ds8f7r5cxFx/lTz5y7wPdk5+r/tOPza7zj3f+prQ4S8TMyT8/TH/FLgKXPyveQlF9FsBRgdBiXboZL4xNWAs84+nUfXPnqg5F7WlLNJxVlmaVTdkGIlpxwsjTTC0oWCGFHQ8lSCFnnbYfXKI3nwwUeY1Z0nSExFvmyZiSqJL2i2AnfEts7Kvjk8smML8/q6Ga1WmK7VIIwJTZPls/sQhF+zUWG85rFy0VzSVo1qy2Tb2BCNOGC228NYPK3if2aXxPYCjKL0CZnkpgziXIzjayzoncuwN8XIxDi9uTKdHXm27R+mVHCVK6J3dj/Vloft68zpNjn/Gefzbz/8Nl4zpDnscfzxK0n8kCfq+8DXuejkp3HDuodojtWUM872ErqcTnIdNkPTDUYaU8R+xIrlS6k3qiybM4971j4OscGyBf00iJjdOcDaJx6X8Bu5WKeVxizs62Xh7DlseGIT+5sNzFTn5S99Pq+49C3qfH3+s+9npOYxZ36D8a0mU+E0n/roNzj3ec+go1xkfneZreNTnLzsRO54+F46+opM7q2RK5oKdFLq70JrxkxVq0og0BKTUsniJZe8nluuuY63vPEVfO0H3+O5xx2PV0x4+O5HuGftE6obLJDyfUfj3a++hC/+5w2ctGgpTWzm9xXw0oRXvOzFfOdH15LzY2qtlILcTTp5/Nhg677HedqRSyBymG7WueRZ5/OLe+5ioulTG9rPCacdxeYt+3jJs87iRzfeR89Amet/eTsnL19E6Lj4flNRL+X6OGb5UrqLvTiOzk9u/CXdbplJowL1hFkDs1g+fyHT++vct+sJ+md3MLvUzWB3F1UiRvfuo5CUefeHPskbXvsylh67GL0RUR/zOf3s1Ty2aT01D3bt2cXxKxYxOdlipFKl0JOnun2CZU9bwej2EbxmkyNWLKA2Le6rBrv2TTMwUGJueRZubweTjRo33HI7r/iLZ6t4eV2roAc620e284xnnM7PfvYLSuUOpqrjnH/GBQyP7eG4lYu59qZ78Bo1fDx6c91sGd7F0YtX8NFPfIk3XH4pRy4aAKPEPRseZtGSpYxu28XCJUt47z8foOo+fPcD7Fr3KGtH9vDB932Qb37lk9xy9x3Y4pgSUavYzQlHr+LudQ8x1awyzy7Scg16PANPa1LUSzjdHbzzdf/I5R9+I1//4lXc+uOr+eTProDE5oQVK7lv/WPMLZUwHIspv4YCwyZQ6l5NGHmquyv2JLrro4sg5AeqU06JH6kYlmyCMFTuHjPysay8iodabqqctqqyS8TCMBXvHHESY+khrWZ8QMh3NAgMYs3GiCQymEjglrBZVzTPpFEnV+5G9xvEZgE9DWiI8OUIxMPAoqUcctKXZxsefmRgC3U30vGFoiofeFqCZsYKkGFhEPoCDbEVwMHUUxUPjVUEVlxpiTrHrhBuRRwSd5hUAhoGsRlhWWXlctK8ELPoKOqtHUzhYWOIY40CcTCKY+dohS52SaBA0tWWIxSBCAvbqpP4Rfwkpthl4U0FYkdWYpfQVL24QC6pKueaEQSEZoKTyxPUxLmmq9622BMGdoBjhHipRc5J5UigRzqpiDOpQRAHSBObCH0iWKkuwkgow5YSxyQqG0w3lTiqy7pMedu5FG0JJWu06h6WY9JqJti2EH3l4hBxMqYVeApQ0optcmaoYq6a0Jcl0u3XkUZGX3OxJLstMWH5TEdXYl+57KoobBrVMKXP0JFfnCSktouORc6IqNVbFAqWAkLJ57+4z6x8AU0Xt5kggIUmrGOYCXbs45tFHDPAqzaxJQpsu+rnnXT9SQ2FOK8l5oxTxEjk3KY4HS5B7Ciisxl7BJ58hgo6uIDmx2imjWXZNCoTGLqlwCxClw6CiM7uMkHoKaqzX0lwhGIb66ob0dIjBX2Jo5DIMLFaAUm+A296ip5Ok9AuUKuE6H5NCerFvi4F+pDKv4mmjhG2KJZdDENANhGaWSSIWviNCKdgUco7tAQkIqLbWFP9/NVtR/LnFKOQmsS0c/JzXMPt6MCpjTDqFXCsVIFejCRRQJlms4FVKGMGE4TFPhy7A00ivmMCo4noLDtEnke+KKJ8QhgVqYuIHyd09vVSq0h0eQ9f/cqVT8U/Xw7P4flf6eKTaY88zpwMwCECTntMtZ1Wm4mCIgAeLG6aLSd7jYhAEhXOnEzt1FGZmc7C9o67dkfhoQALByPp/j5usHZXY/v6RISUG6xsO7N1z4zryvMFXHEwMTa7OcuW0b5Pf+wcyqnX/vjBnHAz19sOGMkE2vbvHQyE8t81/zdOvvZzeLBltDs0Zzrtfp/t+F0uwXbnZrYMmfZ1znzftQNZDs/hOTx/vs66P/X2/7c7+WI0St1FFs2bQ6MSUTQtBnqKdHdI7CuhJdEcU2NqR0WRdOuGzyytTFnKyTWXU5Ys5Ki5Cwj9hKULjpB7KxWre3jDehW9ckq9WJY4XWw65Qaox6HabBIbOfJ2Hl8oswuPYGSiKhvDornL6egqs3r2LPbur1D3PXTX4vTjjmXXvgp7KgEb9u+k0+2ls5Snp5AjX5AScfB3tzhi/hHETSkIF6eExyVLj6ceRazZvZnh6gTd5TxGl9zw53nJeeexcMEc3FJRLacnMlk1b5BCvh8jbzO9v8nA3D76F3exZ2IPcTkmrcRc/53ruG3DQ+hCOXR0xqtNKjkYchqsmxhheHJKORmXDx6BlZi8+ZUvp94I1A2WCAd7p8aUw+ehLes47vgj6Uw7yFsGCwsdDNWr/GrtOqpJrPr2li+fz77dO/nqpz7K5z7+DsbGWuQNl1/8Ygv3rl/Hzt2TXPb6CykXi1SnPYxcgVOOOorHtq6jd34Xffm5XHD6Gfh1ESmKTE9MM1qbUqLovMF+IkPK1312r3uYt7/2Iu558HaOm93LF//zGrqtInc/solCrhvP9zD6LfoGinzy+9fgJyHLly1mVtlk095R7lj7MG96x7vY9fg0l7/plRjpFNPeNF4uJg3GVMRyeKLO9r37lNDy9au+Q63WpLFnVMw13HTDbfQW8rztXz5PWK+zd9NOLr3g2cxduYB55X7VIbh3eJinnbyaZfMX8OADDzK0ex/LerqY1jy6zU7lntu6YzvHH70Cu1jgFc98Dj1pgSMGB1izbiM33X8Pg8UeMAxe+qoL+csXP5emX6O7q5dqc5xHnniMJQOLKVkOi4udTNcjtg7vV31dT+zcxWWXPpdwvIpr5ZizoJc5C+bRClskOtQbdTZt2cVtj60lmNZIpwX1knLVnTcQBBVGaxVqYYMjF61idMMEHaU8w9X9dDk9GJHHgD2LOx58iFLJ4ZKzz2ZorEJ3p0NnTx+Luot84l/ege4kpLNskqjJ7Nld7N+6hbf/1RuZ8Cb5xOfeyHvf+GpOOO1pjNSqrFxc4FVv+Av+4/qf0/IjAi1i2cA8urtthianeOZZJ3PMnIVMTjdYunA+dTOiYBQYq7eYmqjxya9/hEVH9PH6N17CD274PrO7+1hc7qM6Mk0ubyghYTic5JTFR3Hc7OXooUZcWY8l3XW6hpPTFPTACKSTzlIOrMiJFLzHF6HM1LCjJpqIOZHQVBOilkacmli2hhnE6PKmNiW+KY4+Q4lgInCY4vKT/jtNjn1dCUqmkSexcqSJiZ0XqmxLuX9Do6a6LwVgYNgJOdtDF+OhrREIHVngG2lKYBahUFQ0bxEMFXgDE8e20U0dPdcBWp1CThyGPo5lYLkumvTQBR7lsoYhF4LIkpoQgBNCiTAL+bZVUb8gkWir1/QJwoCmLoRS6U4TNbABtvgObaJ4Gj2yVD+h/JJA+tbEtdgMyspl7ZYd0lZAms8p97RpS9RWx3ZatLwALfQJUx/0HJFYleX74rAU2rd9gNQbmAVIEwLPIlGx2YYU/hFIKlRcl2gqZmq7FpEvoqWU7LWUa1HcXDnTJ3VEBLSIYpOidCa25Fi64HYQRg6OJV2COrFWUJ2DtWYTXdMJU+lgFGelgSE9jHKcmhUCITQbIUZQl41QTlAR4gwR00yNRrVJEPh44YFfKMjvgnzR8hoCiwmoNhM6CnJtCezZwBb1S/TFoKH2KfZFvEsQuK4I3rHtqMh0JPFp0xYULlqSkjQbhAL1iHXleo4jA1fOjGNjFkUktkjjBnFtAk3Ogy6vNTCDVLnYdCMiCOrYlgZ5KWOAshuT6qaKF0vE1Z/2aNZCckKUlsJYI8bTJQqrKYE0H7fQLI1wfDedPTnyRVdFhOV9US7YyvlXrfhEgQ0ll0LOondON2nOxKuAH4qz7oCDPJfXFOWdqKYE2ViiwV1duLlEvQ+1ZpPJxFaAFUsox7GNNz5C0xNHZo7O3AFojZB75WeFUeyiaHv4eom8buF7AWl1GiP2KdgptelpYjNH0DIZnzYIvBpmFGCVJDo8hZ3zCE0hHB+ew3N4ft/JOvMykaE9lnsowEYWwZTXZA60dlhHRoEVIWimGNQeSc0AGSIYZkJau4spcxFm3XjZ8g8mpMhzDibgZMLJ7yPwtUMRZroFs2Vn5NTMMTJT4Jt5/L73tc/85msFyHjb23/LfZHt48HIr+2AhoO51ma61A4VxZ1JdP2t7x1EWBRXmTyeCXzKofjr9Wd9h9m0u/SejF4787nZup9sZkIqfp/XHWobZPvbz9HB3IXtoJTfQEtmHNMMnnHQdRykH/K3tvvX0JH29bWDbWYuR7b3sKvv8PxvIMX+sSMC2Z8ChPFUTSbw/T77cKjOvj8ZeEPv0BTVcnx6mv7+PDnTVm4EW3NI7YTBcid+6lFYaBOIay/VmRibRm7d5xw1i3z3LB7Ztl25CLYP7eKy559Hb7GgCvNN26HaaDEyMaHEv2OPOopZWjd2Tqfo6BRtGyffiWs6GE6ezmIPYVJVcS3XdVm6cIHqMBquTWHZMB1WlMPJjg2mtHF6juhisz5CaAR09xXQywZb1m+hbMqNuUbsaPSuPJpSj82c/qMwhOaZWlQmPFp+lZvX3svk0BSN8RYjI+PUYp//vP9+brj1LibHa3z+A++nMl6n1+0iDnVqkwGBHnP+i85lltnF8t4F6AHYukE5KFAKTTTf5unHnciy/tnU8z67R/fw7e9exZrH1jPQNyB1+3RaeWYVXHqdTtY9uJVZgzkC02E0adJVLOHmpR/MpL97Nt50QEepzA/v+QWB6XLxScczp5Sn1Qjo7CiyfGBAuUm6OsuYjs7ieUvY+PgwsRFTGa3RWwzZuHMTxV6X7q4CYSPGSAyOHJjH8iOWKPhB5Ce87hXPZX5XkXKxxFi1zl+/7BV84AtXknfLjFcmsLotPvziN1KvByoGKGab/qLDum3bGKmMUQ4dmknCE5NrwZzL0085kyCxaA3tZt/IBFplQsUMh8fHMXWfzkIPsaYzSYPuYpGBWfMZr01xwuoFhHrKgvm93PzwnVCRSjKTbiPPM446iYm6T6vh0dfdi9XrkvblMWOdWZ0DbNs9wnkXni0sVgYGO1i/az17948zPVllot6g1+gi15Ej9pq88flv4pqbf0FtOGDNo2tYdtwSVsw/krVrH8WlTJov0uOUWDFnEW6s86qzn8m/fPOb3LruMeUWrNahPj7Fw1u3MjlaV32Hpx21gs5iHtuI2D+8DTHAvvXlryXf2cvS0iJFwBzono0zy6Kcs7n8/IupNEfp6ipzw/234UQWpqVx59bN/MXJZzK3YyGzrBK7Y4+1OzYSxPDT6+6mUfOo1gOOPmI5P735enbs2MvA/COZ1GKu/cLX0Z0RfnLDXXzzSz+no2SjxXDckiPYumcfTphiajrb903TwqJWjjl+8VIGBpeTxDFW3mJzbQ8btu1ifLjKv/37x1mweA4rXXG9CUEzYnbaiybdaJrNw9ueYM3uJ+iwHdW7J+AbgVikQoMQAcPRSIsGnliGvFQBHyTaJ/17CtAh0B9HKLgusdgBhfyKTc2Xx0wST0iwAsYQcI5AFmwC0bBiTVFXdQT+E1GbHsc1NOy0JlgOLFMcd6A3ExJR3B2DVCKrQqttHYi2djgGppBxE3GUSYhd3EohlsRcTVs5kAMvpVWV3sAmKTmCOCXVe/8/9v4DzJLzLtOH78pVJ3eenKM0Go2ClSxZlm05J7AxYGNsjAGTWcICCx+L7SUs2EvGYDA2OK8NzlGyJAfJymkkTc49PZ27T6xc9b9+77j0HTc9sgyCxfa81zVX95w+p8JbdU53PfU8z01uxehpW8VjU7NCt9MlNkwF54hTQwlcTporamyaST+gjlGrUipHOOKhlZhuGzyvRBYKJVZipxnVSomw5ytKsZl0sXDQbB3bFg5wDTOQPjpxzSVnhTLBkEjvWehjSn+g7mCXy+J/w5R9zjUqjk2m5eSZyFWmcvyJ2BemIRUzI7FHcMs2pmtglDX8HOri+O120Ux5hQiwEonVMIIMw6tjRQlpHGOUNGJxWhoiIEkzng+mxLttMlNE3pb6fVJzTQzbUttkCOREeuBMC8cw8FwNPQmJExFwY4xcI/B9FV3OUlOdFwJ5cKplvMpZ4VOC0eVSruLwWiYOwYSmuBa7AbarKdedAEw0qQrIPbIkoVSTOLZPFHQwJAqt+eiOraoptDgnDyMl9uV2mTyMcQwdy3GJBE4Sh8qFLSKeY4voPCBmUkyto8SwTLr6VC9dSpa5hLmHKb83bI3J0MHQU/wwIFBx5JxaWfZRevpCcnHGGanAoPF7IblWRku7GAMriTodFhabBIGALnSCIMRxdepmQOK3iCMLz9VZnG4RzfVwGxlJrrPYjkiDRWTj5XdXolUU7ThIQ/y2CH5lMR9iea4SR009JZ5dwM4TTMsmL7lonWl6lLGSgJIlXZUm5bhJ6gyoqHMcC5Rjlp6zmijTCfwQuz6KGTVxaho1s4khEJIkIui10DKZ+xbDusCBzo/z4/x4MmMpFKM/6lqMQmTr/38BOVgqaPXHZaXXrvh/fxS3X6ST5RYRzSLq+k0whb7vC2BBv2DXL+j1f+1//FyuvqU/K0Ss/sjscrTc5UTP4rH+2PJyzxNxrN+1IS6+Yh6WjiJeLK7JIgK6VOj7VnHaJzOWE6VExO2nJD+Rc66fuFzAM5Zdz6/86r/q5yuWfy6CbbH//wpw8QRCWn+EuH+5Mn/9555sS//5uXQUvYxLt+vJOBiXEyGXW8e5zvX+mPm5KNbnx/cW6OJ8V+O5x391J98tT8Jh92T2oXjO0ud+u/Hqp0zkyyOLmlVTRegLqbhbbBpjw6pPK7cdJs0Ia6Cs+oZUNGygTtbQGF09rJxLDx5+lKSR0Q0C5uIm7//kFxFFTgq5pU+r4y/w9Mt2kpoap8bHedtb3k6tNMj6lWs4szBLHMUMDQ1RNUpMLnQJkjKlSon5VOfE5CkVARo26txx70O8+U0/xRUXXMTl11zCgFHi1OQMa0eHGauVmTvRxoh1Je517US5AiXq9Tc3/yPBQszM5H52rl5PveZgaDrdyGX32B4VzROX4fDwKFPtBeWUeOYle+i2F/mF33kzRqpx6PhJJBRmZwkbKyv4sRe+mH3jE8xON6l6A+riFdeg6pZJsh6NhsX6jWvYPraNdjfgsf3HGRwqcer0hDpynRx6vYz1A+JyzIjEleKHWIZF0pZYasyaVVXOzExTrlqsbKxWceoRr8RvvO9vue+xI9Q2lmh3ezw4cZzRrMSQW8eteHzsS7cxFUzRaYWqB/DuM6eU+ODZHpMzM2xcvVI5VjTL5Oixk4jfLA0zXvdbv8Of/M37+MHX/BI///Mv5vfe/TeMVkaZbzdZs3WESy+6mH++/bM45QbrhgeIOymD9SpHTszyvrf/CaGbs2NkI6trg3zyI2/niutfyqYNq3jJc55FJ4+ZDjXlWhIqpNcY5OFjx5lvnabmWkx2IjQ9puIOc+jQOGXLYzrr8KJrn05Vdzk+Mc1sd47ymMHMQycZb05zYHGK4wfGGQktxmpV/Djk1Tc+F8vQKVVFGJ5lZnaBTVtWYRgupm6we9Mm7r/3ME5piPfd9C5FcR71Brj4ol2cPnWaEyenqA2N0aHNzi0bePjICRYXuqxduYr/e9utVHKPSzZspxNGtIM2R09P8ZzL97Bz83pm5zpUGx7XXnYl7SRh866dDA1WefTQQTp6xmzcZMf6TcyOnyTPHU6NT3H89Cmuv/7FlGOD595wOStGV3Bw3xzrVgzRiXw+t+9rHO+dYbbV4gN/92m2bV3Hm77/ZehVT5GYHzxznG4swnCFD334E7zolU/n+NxhdGuQqmPzhte/CiPQmfFbfOGhhxgb3cxdh05Scgy21IewfZ8NTon3fvQTSpTUV2zgustexJ7hNey48kKi2YD/8bO/xfHxOY74C5QHPKbas7SsDtO9nuoDbKQOZdOl4lVZNVQ724Gnm2i2dJQZCnKgiWjv6eiOhYWILyLSaNi2raKTphB08wg911VHW5IFuLVIRV9NN8e2LFX2L3RTTf5JjFP30Yw6UeajC33WMUn8RFFTRfwTkVzAOokENXVxX2lomk6atFWMVss1RdKVzyixxLkliVRqStizPIEb9BR8wNVFVIGkmSp6cIRHLFTdRCM2GiSZRaXhkCe2AikkEgUtSU+bgVOycU0RTlNpF0QLExYWNVLLVjctykIfzkNcz8GiRclz8amoOLPt6sSGh15yyIU8q0dYbnTW+SZ02swnjhI1X7KfQaCROx62lpKmAvmwCTuLOGauiOQEHmkcUvJSIt3Fqjh4JjRnxfHVIvJjjLBHHnnyq4CoE2N4Z12Zufy28TwlrMVZRtOXCLCLMEiIEyXGphKf7rbwKq5y08l5YIQGZrmOoZcIsippFKJLvLZkiZEQop4COeQJeHJTxhB6r6y8i1P2cL2S6haUDjrpJIx6XUXgNRwP18xVN2AShAo4YQhYRRyftoETh2SajW7IxZV09QXYNvQ6HcxaHVfAJxLBTquEvojOImOG0khBnqe4TqTEvzDXydyKimWHuq1ciJKuFjpwnnRxS2XS1CWW6sf0bL9fpV6h6nQoWSFZZ5G83VHwEEfkZTPGqcq5WiL0fRUNX0gstE6XzPeJxDUporDQcjWBgIQY7iChJnH2DDMM0YYGCYMcy65gNRrkUYduYmKbKVpJHKc13FJJgTCsygA9razgJ7Fp0201KaVdHDOgNTdHLKKmITevZul2fKnaU9Fmc3Al3TAgdQ0c16XqJMS6Tk/O+ZJNrxOil4QmbRKbBnHzFK4hcWSLVI67UyHTHXXckk4Xuw5DQyWsUhWvXiJunO2AOj/Oj/PjW4/CxVVQa5eOog9u6WNFJ1kRuV1OrCjiqsX3hROloNI+7lDrI+Yudev1L2/p/4uL3uI153J39Qtz/Y65QqgsliEiUL9rUCK5sq7+1xTLKcSh4vnf1LG2RDS9Pv7AskKPOLQK0VLW1b+d/URaEaOK5fd3vf1buuS+1Vi23+8b872cS7DfBSjH44mgHud6/dL5k9H//6XC4FJhuX8sPX+WE3qLY6dclUvO/X6gyVJQy9Lt6l/u0uc9UWR8qfuyf5sKynU/gfffAxk5P76z++z+s9173wkk3u+UcUufsPesvz/+757nfvfecq6/b2eZT5nIZ5vippEoW87IYFlFqWY6LR54WBxZEomTCJJDSS5IBxxi31ci0cOPHqHdCehEElkCGjprRkZU2flsMMNQYwhD01gxNAJuhe1rNqri+t/8g9/kadsuZL7TQqqT2p0O9x84hlMzMUtn+6Uquk3QabNrywWUVKF/zMja1bz9b9/Hgw8fJOr6TIYtqr7NsQcmaAbSXyTujZiqViWciIm7CYm4GCQ0GeesGl6h/B96ZrJusMH8/AT3HX6QlhMwdWqKR48cwHUMus2I+44eZN/pE5QHXaYWWyQurKyU8AyTI7MT7L78Ol5yzVUcm5/E8qA3GVIddpnotlg7OMq+/RNQr/PYwQMM1qq86Y2vpRslrF61EiN1GKm5vP1P3sGiHhLpCYHt41V1rt91ueo/FFGj7Uf82Cu+j9TNeP+XPsmlQ5uJuz6f+cgtjK6usHCqS3OyR3fCZ9EK1UXwS/c8TfWarayUSbWcbbVByU4TRj3sqskPvPxqci/k2p0baOcJx06dQlQR17KVe2bvzCy3feH9vOoX345ZdTg5NYXtmVTwWDw+xVB1mItHRjjebpPnGb/w9neqwPev//Jv02n7nFmY5JJLLmNo1Vb+9O2/x6333M3b3vdhNq5dxV++5S/Yd+Ywvh9x0fpBnKrJoRNnaLgl1keeugC9+fY7mPW7GFrE/fc+xh0PPchH7v4SK8sNThyb5xM3fZUT8zNMz8/y9F0XM9Vrc/Pxx1gxNsCpqUkWO+MMBjUWppq0Z1usHBlkzdAqFsMWl+/axLaNwzTNLr1slvWrL+TO/QcYWenx4c/cxMY1a7jv0GOc7oxTxeHBI8d49tMvY9P2VfhEbB1crRxwDxw5zKaBEbbVyjx0Yj+Wbatuxx94ybV86e5HueXYnfiyXfd/hYXZDhOTU6TNJgNVi72PPMyx08ep2SVONVssdNt0W0f4+vhRbr73ARZ8n8v2bMQxRnn1c+v0FkNeeenV/OrrXs3//p1fwI4dnMoQvbhHa7pDb7HFIydOELa7VDSd973vc9y//wBGz2fW1ElXOARmRmXY42mrNzCrTfH8p1+GXfFoxgFRkjBYHaQXp4w0VpDOnuaLX/8XnnbNDUw+MI5er9NNYdtamd8ec7MtZuZ6RL2YimfTnO9wkhZd38crO4wvzmMmHdVXlosrsGJiex5m1UQrVTBKJTSJvopnLhaBCrRECK0QK3FDHLgi5FkYkYZmZmShOPGkM8iUAjMkTGpbEi110bQYS3dwBVZg2+RWmVzo3o6F6+VKYCtJRD6NECZEKtFP3VU/FxecdLploaHil92OwDwiLCtQcANx34lYFkWpclD5En1NU0plDZMEfzFQop2eZ8StNlbDUs9xLFf1E7p5SJzphJFFGongKQ4vEbNygmYTDIdOhBLje72ANC8TdLtYRk99LgqAwtYEEJGi1xoksYkRyTJzcqdClMr+pyQSF9dSNHHHxRKx1VWvmuNZWOIwky41W3i70jGYk4noikYgwIXMolRzcSyToJsQ+iZJEqPHcvfHJ/N08lR6/HrkvTZuEpFkKY58kqYaeaaTBOIQjNCsXPWRBu0mpZK4Dg1MOyFS4ecI3QxVVFSPA+JuJOlkgtwW1Ig6Zn4i+NicONPoydzLshdnpEZP1UVIbNcR556dkYv4VRWgCehyvAWwokkUt4Qhrs7YoyQQCrNEHiX4oRxb8KUbMA4JgoxA8yiXe+gSKRYBNsloB9I1kZNIDtjwMAYqmOmicmVKdFhAE0ErQs7CMM3IJW7uZMpxmaQJGAKOiWhHDrhl9FIVw5Veuw6RN4BpN/A7Jr1EJzarhGGApwW0Qo3SQF2BZwxH5MccTfdVV6zEnssCM0kDMj3DySRGLB2TIaYQdtGUSG7WdJzEpDU3jxYtipRO4jQoVSySxFJdieLGS80qpjaEU6njeFWCto9plxncMkbW6pClOXr3JBXXYuVQg+bkFHGUKeK0ZRloeoVS3oIowvDbWFIsqAuQpk5iD1CrZzTqItY6mF6NRNya9pCiHwdZjmFX0MPgqfrz5fw4P76rx/iprz3embdU3BHhRX5WCCoColhO7FsqxhUCWSHe9EdeC9FDxK2lYszSbjJ5naxTBJFzOcmWxmWXo8z2C43FKKKY/d1oxfJlO2W98k9ccstFWfuf27+84mv/PMn3Kor8DVGu2NbCwVds91LyqgyJk54LrFFseyEmFc8p5qt/9Mdd+5/3uDC3hODbv4xvJSQ+LgB+8UOPH4+lwtfjPXVF3LfPjdjfTfc4dXiZ7e/fnm/H2dYv2C2NdS/nyCvi5/1ztlQgLOauP2r77Qhxst5iGf3icT9EZqlb9TtpnBeKvnPde98JwI3vlPGsJcLev2ee5T3V797r/754v307y3zq4roYOF5DdV35UmJl6ESRkAClSDtFl0ht7uDSwClV8MxvwAXynCTJmZRN5nYAAQAASURBVJ/1Kfs2ZmBxJlzAW2kr4t6QZVNvNKi4JU4cO0UrloufLoZh460osRA0MUXgyhZwkoANa9fi6SZBx6ed++zevoMgmaPT7akY2oEDh3jxjVfSSX32njisaH0LQRt9pUkgsb0A6sNlamM2I2srWFVL0S61iZTBahU/7bHv9BkqpsOU32Vk2OVHXvMSknbK5m3rqbg2Zddj26rVrF1fEzMJJWuIRmOIS1fvZMUlOznebbFl7Rp++49+h8/feQd1x+Xpey6iPFZm/PgsP/79r2B+vs2phVPcctNtXHnhBtI04303fxJPSvINH891OdOc4z3v+APVO7Z5dCWTC3N4lseabUMshCFbN2zANSp84KZP0jBdjEQnaMYkXonHPvURuhPTuFWHS6/cyc/87EsYWbOeuW7GJx64h+0rVnKq08JwTY6GTa7adjmXr7+AdWPDmD2L06fa9FJxknT54RueyZb6ChqOyw+//KVMdlv83j+9hy2b1hFOJFz79O285Manc/EVewh1gzse3MvU7CJhRy6Cz8IWTNfmRGtGETAn5+aJ84STZya498G7uXB4lE7ms61e4c2/+/PU8iq/9BNv5PZHDrGiVGbLulWEqUV0+VbMoTF+7TVv4LqtF+HbGdWszInjEzipyeFDh9i4os4l6y7iyh1rWOhG3HP/o8TtmFc+87kcPT3BiTOnuO/AOC0/JTcl9ugx11nk4cOPcN9jD9Obibj9rkfZOraZMNBpz8wxvKLM/lOzrF4xxKFDZ6iVLS7dsFp1mI2NrOahh/bT6/rkUcbFF25TLsSGbjOz2Caw4P/+3WfRklR17X3xpgfJDI1OL+LY/BSDpSHVx5ZYAl5wWOi1VQdWXnMVnfZHXvx88jgiSXRKlZwNjdU8eGAv0zOTiuK5csuzGByq8ZG77uTNb3sH1mCN2488wKZNq5mYmeNlV1/Bjqft4NpLL2TXJZdj1WoMNSq85/3/zHya8uytG/iBi6+mmwa87KobWbVxJ1PTC9z6wIN051sKpiIOzo5eIosSXv7yl5DWLS65YBdf+spX6JktalrIgJCuz0xRK5tcfd0zuGbTFppBl1JtiHUrV1AXF6lZZ1bm06gS54aKC5qWqRx3ucRERTMyEsqdKbBK5BKTFVEud0gyAWkI/Vf66yLy3EA3BdggbiuJu0q01wcR/XRDCVhhdhYgESUxlsSBw0jBEpK4p4raxLGWBSlhaOBHOrolljPpeJOUcKQ+63TXwK2YxIam4A/S+5a5Hr5vEAcahhXjuuIktFQ0XTrWchHuYum2zMkMETYSgjRRAlyWGmSagS+E0bRHqImjsYlrxWixie6JC1DcTbYCYki3nWlHSkgVgi1lT4EX4l6kHI6JLrHlDE9v0l6UT2px53l45RTXE3iItL0ZpJIwlfo56ShMEjqBuLFELhU3o4aWS+8eGHaXIExIghg/CCnJ/JopkRB/BV2hSWdoIowJsEukcUQ4LzeAxOlbIss91YUnNGQzk7h0SCaCk2srQdQquUr416SXMAa/EysncZLGaJbMRYRZEsFTItGREj5FHwoi8dqJuGWr3we2o+MKHjeLSb2KoGQpeRpRXJXcPpG4CXMTrdcmSGJSI6ejgBwCmxUx11Uuxx4OtvQn5jGaCIdxTkl8fUaK50pHY0AaQMkz1T66Brg1i9goE4qgakI4s4BXr0OSEmKrTlPPEnBUTrVsEYlTMU3wkxKS005EgPUk+orqujME7hJ0iXoORpzgpzmWlWCHATXrbDQYI6NipGSRTx53lPisIrlmroAcHR/ijo9eqRPlDl2JpQ82sKRfLwoIo4Req4WTpfRsEy8vkdjDmLZHRY/IOz1i6RRME/T6AKbmE/bmyKVjUajGvbNQmvaJRbKR1VJiSK+bq881f2GezK4zJ/M0KJFx6enLiPEoVWtk1QZZbGNH8wp2EkcB8+MtOkFG2Jki9kOccJF20KHXOwsx6fU6xNKLen6cH+fHkxr9kcSlEV0RG4rIqghz/Q4qgQEsFegKEauIGC7txev/f79AUoh439Q/99wfUkKYbF8hZC3tZusXzZZu/3Ixx/71idCy9Ociqkk0VPZVBCsROZeLqxYuu34HYxFNljlbzoVVEIJl3t4bv+qbXF1LXYLFKMi0/Y8vd9Hfvx2yX0tFSYnQLu0xLAQu2RZ5TPa9mL/+ZTyRoLZUHCxGcUzO5bhb6uj7Vy7Fc4iqy/1s6Xgysd6lDj0BoxT7Iz8ryM79x7AQ5WR5Fw7f9U3LXq4z8PH1L4lX98/xcttdiNL9759vJSD+V+tq+04Tir6T+9z+o0chIP1XO8e+k8YtTxDV7RfEZY7PdS4+1e+pp0zkqwxXaC7Ms3rdarSkS9fvYGe2uhgzdHGU5KQS9yFUjgrTM7HdCrWNo6xfPUJj2IO69DlpqvC+ZtfYvGYj5RVjDFYbuHaVwUYDOzfVBd/xkyc4+PA+tI5EkSqsWbmOuSzloUP78SOfk+OniAWusf8Yx8cXOTO/gKF5DJYd/vaznyY0E9rzEpfLSDs5640GvalAruFJxbXmB8oRYqVycShExpjrnn8l73/Xh/GynJPdeRK5iMk9Pv6xmyh5JWpuRdJ3rB8e5dT8HK2Oz0TzDPWhlOFKhTNzkzz24AEuqK8kjHtctW0PtXqFQa/EZ2+7k6wXUXFKfPZrt7Ni1TDDQw2eu2Urn779HipOhVFDXBoG6ypjbN+4hV6ecGJhis1XrOah8RO4hku1WuHR/YepSozOc7n+uj1sGtvAwTOTKuK4dutGbtr7Nd550z+zN55lhT7AweMneeDgLKUs5eU37KFzpsvpuSY1o6x6CyWqqFU0Ts4fY+/RU7z3c1/B00wWuzFXX3o5tz5ynNmsjVmz+dSX7ueXfuSHWbduiAfvOsKKNQM8emKcm2+/l5u/fBvz3VkF25jxmyrqKHHL//Xzr1NAgXYv5MXXXs6qwTGcsIMWB4wMDFIfW6EK6T/5wCOUa2XG1tT49f/zB+y9Zy/1wZWUcoeRVZu4+VMfpm7mPHjgdm49+iCVZJjESBgeGKVkWzxw6DCzzYQj80eYc3SaM9PsumSTEtem52ZYO7CGsRUNLtuxg+MTJ/nqnfvYe+QEJa9OaplsGBpmOlnk1OwUuAlS+77QnWVNZZiLt65lfnaBdWtHuGDteqbnQkqqzB4GR4ZJg4D982f4+FdvRQxlq9asojJc47ajR3jFG17K4ccOMTjSYHjYY7ReFasWc4vzLKQtKqMe9zxwgKF6lQ2NlVy8dT07tm/EyzICvUd1VZ2Dj+zn2Ze+hBNnTrBuzWqm5xewtC5/+L/+hhXVBi957g2scIbZt2+G1176Mv7wD9/JVZt3sX9xHP94h/33jmNHIbtHVjM72+PWL3yAwXqd2x7eS1c5/CxV7n/vfXezenAY3cg505pn/YXDtI2U1O9y0QXb+NM//3Nq9SrNQPovdUy7RhAkhFmO6VYpD1WZOD7BRLvJD1xyEZsrVcZPTTDmVGlmXTRbY+XqAcLFFnqckcYSwRWatriBRY4ySFZsQI8nlfstN2wiv6PcaCJsZUJDlV4y0yITMEJmkenyeeNgGyUMI1dRSc/ylQAn4o8IzFGckThlzFRTTlynURWOAYmAFUxPUWHNqgg/Gb6fKEdf0JRYqjivxHEUKtKu5Ee1pI1taooarkmfXmaQRSKK6WiOiV2ukqcZWqlGuSHUXwNXOkw1IUj0xMilOuJyXeK7BnHsKRErEgdiJJ1r0VlnoqFj10poYYyVdrCcMlbQRDOkD03a9mLRWhD0qabXKGltRFrBCGh35JhFoPnEkqtVn3MehhVhOFVFUhUXYMeXD+8MXYjjaZlIYqlCBTYcJbCGiY6VaxhlA6xYgTQUXdhPECufACIkuomrgZOglRLy3FVzG+QJetlBFxEr0zFcnTQIMUQ4FPdgTUQoTcWzSetk9iB5aivxPEukzdXGKHnkua6i49LdqGUxui0VEWXMiqt6TrMgJjGFrO2g2ybJ4gKplGFaBolpY2guadTD1DQF0VC9d5mDrjmUrZRMLJGxrjr0JD5s2SmpQE3MKlYYKDE6NjV1LnRzE7+1gKs1cWw5f30MwyLoBNgCZJHfL9LbZyaE3YxYCu50D50ytqieYitMNRI/VDfHIjS6vRn0xih54uNUbDxVIyERcg1qDUpJVzmoJb0uHYaJIaUQJo50FEobo6eT5QmxJW5TDbozDNQqyj3ZbYlYFynnpl4uEeQurq6hlTL0YAoWZujEUBqQbU+VI743v0AyNIA9MkYm66oNqGPk5rGaQyOcwW5IR26DsptgeBXMTGLigyyeaJJmXToTLeLcQrcgD+W87uB6Fm69Qtxs4Y26SkwOoxhcnaw2qDr+NCslyW0FzfHOczfOj/PjW45rfueFj0dRRXgQ0EIh6JzrazFECFs6CoeVCGNLRbF+t9lSl1ax7uI1Rc+fiFnipitG8bOin+6J4p0y+sXCpW6//khmsQ390VDZDxF1CiFGhLnCWbh02/sdV/19gkV/X+Hwk+9lOXIhJx12xXwUIuu5oCBLxdH+i+1z7cPSORDxrIBM9D9Pfl700vVHYvu3ZbnOxWIsncf+x5cCS5YbhWOwX6ztP0eWxlqLOTsXpGS5sfR5xTwUc1qQj4sIeSEAL3WWKuHzV3718Vh3/1ium7J47dLnLp0LERT7n98Pjnmy+3i+q+27u8/t/+UoxKXz59i/XRh+so6+f+scyzL+n4E3OgtdKrbL5PikovYJ+CGX0vghj7rtMWSXGap6qgOoJH1J4v0r2zh2CaPeUC6eQddktLqKdWM72br6Ii7fegWDtboqwI9MnXYQ085CVq3cimcaqnB9IRCnQ5eTkycJuy06vSZlcaRoGm2/zeHpU7SaXdatWsmakQHl4qlXSnR7gYpFpX7Oys0DzMQBWzasYnCorErooyRj147dpN2UbhTABpPPfO42Jg4+xLpVQ0g4q5t2aRg61cEa5dzggQP7yYKch5sTvPVNP66K5KcmZzl0ZBLXC8lcjfmuECDEURLz6Owx5hZ6TJV6bF+1hssu24Nh61RWXM6ZxTnsmsHeuTZe1WbPxVsZXVHCD1KmZhbYuXaUtJWxZtM6nnXR07nowi3KHXNk4hRfvucRVTC/9+A+3v+ZT3HgxDH01CHXdHZsWYvTS1k/soLoTMx8t8Vle3Ywd3pOdfd94Wv78eougWgBtk6qp2wdG+PQg/sIY42gJSTSjMTLqGoxX7rzHianTrFp1QbmFppkwSJ/9o8f4vXPexU/+7KXcfHWzRiJgWWbDLiuEqqqdRdH+s2k+CzX+J13vF8JOSKWTC9mrK4PUB4YYn56nnUbNtBJO8w3e0xMTjA+1eVrX9mLFxq8+73/wmMPHqJuVli1foQP/8X/5hd/5Q95wy/9Hh962/sZHihRsiyc3GBuxmft6mE2DnmcODTHvqOH2LN+Gw/c/yiG7dELWxyYPUa1UkZvZZC11TnixAbP2HkZzekuZ3pt1o+uZHVjmI0bVrFq22qGjCrTC7Pk3ZjqSA3LjJhvBSq2W/ZqPLzvMI4RMFKp09BKypUksdF1q4aZm1/kWVt388yte9i99QJ279zBpq2bVUeXMZ1x9YVXcEljJ17a4JLVF7LYFqhArgSftdUhur2caN5i4+hKtm+9kKP778GsWGxZv5K3/t6v00szNu/ajuZZ3Hrb12m15kniOT754G089xnXsH/yOKmvM1AZYdPFa7EqLnsnT/HsKy7nz9/zARanO6wzbD7z0AM8d88lfPDmTzE0MsrgWofBUpWpyXn0uYhGarBidJSvHjzABRev5dTpMzx26gSDlTJGYHKyGzAxN41j2qwrj7LgT7Ft3VrOuDnl0ZV4lsVovUSQRrz2Wc/him0XYWcdciNX/XdiyJL4pxLGUiGWptgDa5QDTaLPprjXDKHpWhji+orF2ZVjGclZgIMIYnFC4neIpevPcPHDTLmPxfFnZKlykGpxrMQr6a3z2z65dK7lIlJJR5+mXGVCj60MSDefrRxeuWUQCpRD+gJXlrDMnCQvS36YJAuV04/ER/fKpFamOudEzMuTBCNokWeGImeLazDXM/QcEsshiQwVSceOlHhjerYSbfAjrDjFkiysaZDlKc5AFWyPtNcjTGI1Z4YjnaFn+zktpFvOUjc0TDQ6HVedg5kQXDObkp2haYlyYHdCiaoG6jyTjjldIBlJSrLQAydDr1RIPU0BHcTxp4cddCsh6uTkHQFeaKSaiK8Wepxg2oa6MZF12mR+hmV56Jap5rnkOURhqHoQXS3DiyLCGPJmmzT0idsCtDCVAOhkAf70CYJI1icCrqOcbgK20LRIdSAadImw8VNLfU6GcYbmlojTHCdZxO/6GI5EWG0Mu4wutNYkxtUjHMPFlUpUD7qBMD96JEmouhrlc9Ou2LiVhNzJFQ24ZAqgBDLXQctzcj/GLjmKjFwqiRAp521MJBFvLSUMMvQoRI5AbotgmmJUHaxyg0x36Ypgrct8OSoWbjsOliVtsDmVRp2w08EbGCOPQ6JOT4mc8vkczc6QV6rYRka5USFsJ9SqGUbcVRFiRSCWfkBTQwsWcelgVMoEqUbWbIm1VIl6meZhZjq+VsbQEkjKINHgqnFWrK26GHGHWOLU5SrpRAdN3k95RN5uUzJTJWbaJSEaG+ShQZIatFjBTNPAcVIsbRa9VsY2TEpVk1TXmD4dEElkOHOIxOXZbmHV6zixpdy7laGaik+7ZcGkhJRNR8FzxNGb9SQPfn6cH+fHE42lEdcCntAPm1gqXvQ/V9xuhRjT/5x+F1i/w29pXLJ4XL4vBKb+KKaIWYWg1e92k+cu3fblXGdFx93SqGrxr7+HrXjda63/+7jAIvtR7J84CuU58rXY36LPbSlRt59SLD8rBKM1a///+7MUYvJEMJBzjf54ZyFQLXWNPe7e+5Vf5cvWq//VMuTnInoVIuZSAUr2sYhzF6N/Pcu95sl258nod1P2H8ulbsNifwsR7Js69PoiwEvjwPK1X0ST0S9myryJwCf7WVy0L41v97tMi87GQrhdTtwtXiNj6XlXjP5zcrnI8DcJ5H37dX6cH+fHd64wfMsbN3xLAMe3Wu5SMe/fEtV9SkU+7JwLd+8gkQ47y6Fc9Wg0yjiaoZx2cjEsUaeGY7DCrmH0IOgFaKZ0IpXIRofJK6swxRESmpiux/jUHPN+ipkZqgjda9SoOQO04zm2rtjA6uFhRRFdv3Ydc/M99mzZRFlzGV9cVCX6rmuTS5t5GuH7PQI3puxWaXV7GBVDlbYPDktpeqwcN2faC6zeOkqcpFy06yK+/NXb0TsaujgiUk297kd/45e5bM8WOn6E4+tMtQKOT5yiU9MplywGylXiuR6//5F3Mz8ekBk5del4yi0s16OWGjw2M84Ku8LG0XXsWr+LelzjWGeCY4eOE6UJ0Zm7aS/6kJhMLZ6hMx+xuLDISb/JlTv20NTbTE2Nk1tQaTm870MfY+L0NLppkedSLq8Td3U0y8BIRY6U2GhNgR7e8cUP0czhi/c/rPqnVjRGODI5TS+bIUhMxmfHFVE3tLq0Y58ffOlzaPo9Bso1Ts5Occ3VN+DIBahu8+DJo5TslBdcfBX7ThzDE5G314SywZ++/z3cdvIh/F4ubfKsGGpguTXaGbRbEdOZRK51Rj2HG67Yya+87of5gWc9g+uuvpDnvORqdm1cxdN27GC8tcCp8Wm2bVyFVzYYG63xfS99Prs3ruaTH/0gsZlwYHaCm265jd/9o3/iPZ+W4mODL3z2M7z8Na/k+uufwb7Zo0z2Zjk5N8txo8MV27azMnXZsnY7rmOxpVrFDhMGBkcZG1jN8PoNnJ5t02pPs9Bu88XPfp4VJYsfeNbLODG3QCdsMlxdy+yJWVqEPHPPVRyaPc6rn/tSZrNh7j61j8n5LpPHTrJ+8whzcxH/cu9duFpPxZB3bREC75WcmT3NLfc/yKWXX0xppYs/6bNyaFjt5+iAxr0P38N90w9zauIE+ycO8sFbPsm+qcNMnGnxwJGD7NiwA70a8uBDD3L89Ek+ccstNFybz375bv76//wD+/bu5+b7H+CxR48R9HrUV44oB10YtnnDz/4UrghEtsbJudMsTE1R1UqsGBvh4OmTYMd04zY7t2/jxZdextqtW7jxgqdjNZssnu5x9YatzPZ63PbYY5TW1Lh936MkXZ/9E7OsH1nHlTsuouJWGRtyifOYS9auZ7DmUNE82jMBk/MzXLHjaj53x02M2cOcnJ5juFbhbz7zGZ71rBepSLq47MT5pLCl4lrKJeqane2H7Ipjq8wFaysKnGDmOWmWEhsibJwlj4qQnuUiDujorkUqbxgBNOQJhl1VIo0ukATXILUFWhOriK+JOKscXC3BSAPlOBVXm3jjMk0j7vmYrjBsM/JejygI8EyXrJvjh64C9cSaR+YMK5ecREjTXk5ZaMHxImEgBNwEX3MIhTmh6TgCbchtJXy4msATUiy7pMAc4m5TJZt6qm4QCC1WRM08y5XQ4TcDwm5EWq1juq6CXcjjuu2QJF1Ctf1tsXmpuXPLOUaekMUalmfjx7lyYtmmjyUCfiBk2oA418ikI86WzxFwRLAMA/TYRjMqZAIdsUSwsqhUhPUbkDmybRZWJjcyckWh1STqapeoDrhEvvT5BZj01OvlmEmmNYpb9FIomzpxWWLEKVbSUQKpg46mBZilkpqHtLVAruuqf9G2ZK5izNRXBGKbnoo2O/JPgtp+B7fi0I0rqFn3c3o91YaHED9CEXPFFeZJVyJEsS6NjmhOiqSf9eoIfksc3gbtVoi9kCoYiQiPrbkuse6Ra0JqPht3FceoCL5B5JC7rnKcpU5JfQZKh55bTklbLeV+1KKAuCNgmDaa3yJLJDub4tQqLLTOusljDIKOCIUG3V6LpNuF2ggZNkkmNRW6EkOT3CWUfjtT7rhFcrBot3PiJMJUuV8DvTSi3hdlOdccjcroEJ5pYQ2VENS0AGvsuKngIrnRwg1bhGkdU8x/0yGat5ZupGOICB53FHVejIiWZmOtGlDdgoEv7jvpv83xBlKCiROU3QDHMdGDmKglMfichchSkA1jaBg9XyRychJbwxGojmVRdgIadY+qiOaajaNlWPUSetnD8GxFYa435HPh/Dg/zo8nM5Y6sfqFGXHYFSJP4TASQagYRXfZcl14S11YS7vU5DUFYGAp/KOfuCrbs7Svrl8kPJebTGKzIqzJuOMtn338+35xbDlnWLE9S4WapWJcId71C6HFcwu3YbFc+Sr9h0vjxMsJQ8XPljr4CrGnvw+uGIV4KCLUcnPx6OyV3zTvhcgkz/3r5p+p1/eLd/37uJwIVUBXirlfus7HRbalYm+fq+2bqMZ96z6XwFnMZXFePL4P31hm/7L7H+t35RXzXLxW9ns5Wu65YsjF/4vnF+dK/z4V74dinf1wj/5xrghu8ToRIOU5RcxbRPUnM87HKr9zegTPx4S/986BZy3j6vt2z4P+7ewX9/6fgDcqRoWGlGMPlLFMgzUjAofQMTwHU3qaDJ2aJXfrExb8AEv6tNRFZEivu4CbxbhJjkkZw4vx5UIoDYn8BFf+uM9cegsLBH4TP4rZuH4VByemefYV1xJLl54Jk2emGZ+epVR1WCVuqHKZG3ftUoRO6RwKjvWYD1sgRfCZpiJPMgN5J8UVBwkZJx47Tapp3PPIfVimji8kQi0nnAuo1CxWlwa4/+FHcSOdxkCDNWMDjDXWsMYbwSs3KNUbfOj3/4jZYx1MT+Mz7/sCV1+7C6GKjNgGQ6tHGK3XOdpb4JHThzBrIYudRbrdmI7Vo+f77D1yUuq+mD29SJLqrNgxyKuf92IqTbjt4bsp+VWcsTFe8Zwbuf3AHTwyflq5x0ScNAyNkltnzegww6UqV+zcymijwuaVddXrV3YrIk2Q2AZrtq5nPlxQ4szm1dv5wRc/g8vWr+P7r7uBmn0hA6bHl266k7ykM57MkOU5t371ZuV6irKI6oDH5GyTA1OHVYyx2fXJugluB67afjGPHj7BgzMHWOxEHDw1yVRnisWZOYyGrmAKzpjFjB9x212P8ifv/TDvu/lL/NM/f5qRxgiHJ6f4u098jEOP7aNz9DTHJ2aVy+XQ9DQPHL6fu6fGCWYiFudn+L4XvJKKbvC7v/fHfPljH+N3/ud/J85D3vTLv8FLv++NOJrFUKXMBUPbmD66QKTHtDU4NjGJIX1iWkYjH6LX6rE4O0eQLFIdqxNgs3bnGHNGTNc0+chXP0VDiMakXLSqzqHp04R5j70nx+n2dG655RYuXFHlmduuJu802Xv6IIsLCxyYPKoE7cqqMWJL464HH+UfPv9unvG0S7jsgq3cfs89TJ9epNNdZN/kcSqVCqdIKXkVkq70WWo0Si5ZmvHVex/i8Pwhbrr9btqdSarpAFfvvBZv1MEYsbh0225+66f/G2bFowWsNKpc87TL2LJxDWe6bQUDeO7V1/C873sJP/0jr6VeErFL48jkPDc9dDePHTlMoz7CuuoYQ9UB7jh8gGdfezEf+fCnONwa5+vzp3EMgxtf/aOQ97ju4p3c9fABrtt9gYqCnz50igOnx7nn/kcYX5zg2iv2cPnm9dw1dZDP3vMQx9uT/PwP/yCBn/H+f/4wNaPEo70TaCWLF19+BVds2MxfveedZO5aVfov8VLpZ5N9F3qCaE5id5OePk3LONFJ2DpkC2KVkns2WmrZ4pYTCm5J5Bp0IcxGNqYlXW/W2VhvFNHzz352Sa9bxXUVZCPpZcrlVKrZ+OFZZ5+p5zgK9KEpJ5bmVtBsERosHKkQcB2CqK0ESdOMSbUYM2qTd+bQUnHpxWQitHgiFBpYeYpmebhxQBp10SRYa+h4ZcHvZiR5BbGpxYgIq5/tp3MttDwhSiTGK00Cqersk7yjWfOUa83VAixD9gXlog7ne+i6h6ULCbdGYgQqyqxlKZ6ILnpGHvYEBYuRCnzjrPvMbpSUY9GR3rQgVCCTth9gZj3lCtPyCEeLhFZBLp2qcUd1a0rMV49T9ET2r4dhGJglW1G59UyjudjDHkjJAoizknKlWdUKYSy03Mo3nIkZrl4hNBvfICtX8GV5CpYix97BbVTQ5bl2ToIQYEvEjosuBBZdHIQ54WIXu+ooGEyexHi5jz3gkWnigLOwEokr+8rlKpHQZld+V8n+aGRCFzY9LLdE1GpiVT2iKMIUOIfdBd+nF+RUq1VyQ+ooUsp2rG5oBUFL9dw5Tqhcfaa4RNMcr1TFLuti8ET3dHyJ6DoOppliCuyj5EnaGNOWLkITMw2wdInciuvSJk0k9mtSGhjESLvYTkrZ1PDkdbZJpoWqY9DUEuLMJMlTBhslktwiCW10TYRJjcCoqBsNsQ/zHYHDZOTdkEBufNk9/Nwh7Oq4ls5cYijQhsSjQzrYbhtXfpf2ImrVCmK7bNR0Ms8ibtWwai6tLthOgGsJgEXDXTWoqg467ZTYKiuhVd5DInyLM9ajTSbdf66l+gYTR6dmJriVGkNOjlVZgZm2VIR5uOFQsjRW1Bu89ZVXU1nsPFV/vpwf58d33RDnkghOMvoFChH0loIJxLEncVIRWIqYY//o79Xr7xArhJBCyPrKF+79JsdWv4hUPNZPPC2EvH7SbbGOYr3F6BcZZbkSv5R//QJf/1gqnvUPuUh6HBLRJzouR87tB4r0b1e/M7F4XITRwvXXLx4WwqeIgjL//WLhv+offPvblLgmx6N/fpbGoNWxW+L8Uq7Et7/tm+Jgsk+yziIu/K0AG/2ibT9s43EHXp+771yde8uNIi4uYlY/7Xi5sVzP4hPBKYptXhodL45p/z4V6y+es/QYLBcHXwpZKZ5XODnFRVh0NT6+/l/51cfFwX7Kc/8+FBCTx5/79rd9k7j+REOO8Xmh7zujR/CpiAl/LwmF/9Hn9df/g8+Bc8V2v53zQLZxue2UuVnuhsy5hpbLVdpTMH77t38BXy7Eh03oGRh5SuinlIfLxHFPRQHTFDyhSOam6syqugYHjk+qi6fB4ToLc/PqotlKPMpVh4pZJk9j1X81NzdNlPRwnRLN9tli/LmuT6NUJstDZmcWKAnts9VV7iSJyl64YQdpt6MukFW6retz98njjK1tMFQaZMafpxX5VByPy1ZsZ3RogEcPHOWSyzbzD5++GT+yKJcjEjcj7WaM6AOs2TLG/seOkGZnnTyqxE/LifWU523fzi2PHOazH/0iL3vji1ipDZNrGjdeczl/88GP8kPf90K+dOdXmFcxN41dl20lnu8qMUyWNDRcxW/3eMUNz+Xz991Ba9FneKBKL/Zx7TIzUzM8++mXcvPd9/PFd7+fG9/wo1yz+wLufOQQYnIxfY3UEAqmTVyt0jx1RnXRRa2cdRvWMN+ewh6wWDjZxa2adJMIT7O4cOMW7j98QO3LZZt3MDQ0yqHJIxw4dIqfee0reP+nP0drtkOui5sK1qwdYGamS5iE6AILEPEkF+FFRJCEH/v+V/Cef/6Y6ARKoBgaLdE801MuKM0Fu2wQzMQYYwbJdKouIjWp1HJyNg6tV7HcF9/4NAaHt3BiYgK/Na1iiodPjxNphnI7DjlVDMtiem6S1z/rOp71spfz+S/ewZfu+yKDldWcmTrD1nXreez4IdbXG7S7KSvWDzFWH+T+/Q/TWLmOjfXVrFo7yL989DMMuB5rd29U5530YbVnp+joDlvWbOCrd95Lzayxb/Eoju5y+Y4LSfNF5qYTNq9aS23E4St338uzrrqKA48coWPrtBbmaC506EZdRgcGWLNqJcfPnGLNwDBHp84oJ8216y+FasZCs8X0/AxvfMELmFoI+Oxdd2HHPfadmeMZl+9iIQjY+8ABQiGcDtgMpRWefuUl1K0Sozfu4XLtAuqbVvCTP/XD/Plb/og3/MrP8pdveQv3fO0+/vrmj7JpdIC0GzObRZwZX2DdxhFOnZjlis3bmY1n6XQyGhUPxxTnTJn7jh1g5a4tXLtiLTftu4uL1m2jopv4UcDG9at58P59XLB6Gx9+8BZuvOgCbrrzMZ5xxeU8euIwNTxmgjnSMOeK7Rcz1Z1jsO6itxNuPrmPn3jhc+lmDp++7bOUKfHMPdew77GHWP+0CzBOz/KZ4/O8bMtGhkYG+b93fA575AJMxyXthSoCqek6uri/pK9OC3B1Rwl7pt+h6QeCXiAWkqphYJgOcdjFszTiSMMSQdew1WePgDh0MyUX6q3E/yyXPBGXmohJAtlwxUNFGieq109cc0L5TiwTO0uIyiXsKEL328S6CIkuepoj9w4yBaGQ/wdguYRxTpb4eJ6pxDRBkSd5lbQzpyARuVvH1UJ8ckp5qnoFpWvQb4eqp02XzsDUg6yHo1yIFom8D8SMRkQcx0RZCa+SoYU9BcgQ8Uw+cOMgxnQcbK1NEkUE1kqMsKW2LS1VKCH7ZyjAhGGE5NKll8XUB2wVzxfqUBImKkIqfFvNc5WIpjkuud/GLJfJA3lvy6xZYjREagBjcV6qjkIx6pnKCW26EUFQIvfkZoOLv9gWRQgz0clNVC9cpxOhSS+fbSuXZdLxyYwqtilEYAgjicOKU7mJ7pYVVMXvJmi2g+NIn2qMKT18hqG6FaNmROC4WKKudbtKYNOsKka0SEgFV9MIJCotVsWeoSBLVhrjDA9C3CRoy/FwVY+mJ3Ks56q+SENPyBzp89OwZMNExDM6xJlNGEbY8lmJQ+oLzVZTN5MML8WISqqHUcDI0r+oosCO0IBdPCOnm/rULJtWO6I6JJ/RBlorVV2HIvS5lQouAa1uQCLgipJ9tvMvCDB06Zt06LUFzCSrTEkNeX8YxK1FtHId25AYuYPraSzOL1CpD5L6LUFq4Ai9uDSGlYwTUlc3vbTUJ3ZrxNNd9IaNpHdFlBY6tUBuepEozjGWWyc3F9WNvSQREVino1coxylx2sYs1bErJkZ3kdiu02sHVJyMdlejVo+JdZ1ez2KwEqn3pzgitY6PM+DSa2m4gxojgyP83Cuu4jff/A/Mdha4btdufvTn3/JU/Plyfpwf35UiX38XWeE0W+qIW+o8kudJJ12/o6h4zbngDP2Cx1JBSC5sCidVIY6JKNLvvCoeL17fHyWWUfxMnr9UzDtXD6EMea7suyxT3IT98JH+7S6+lyGCjjxvua60YjvPNZa+ZunzReQTyEbxtf95/fu53CjmpR+CosRVofl+w9m31DG4nPPyyTy29GdL1/1Eo/886T/fCkFtKQVZfibi8OOuvL51Fceify6Xuh7/VRfeN4Q0EfP6o7j9YnL/4/3bIttXnJtPZl6WnvPnmqf+ZS3XM9kv2sn2y7Yv7YV8IvHnfNfcd8eQ4/+93In3rc7l/xfn+hv/jet8Ko+l3JQqhL3is6SACP2niXy/9b/+myITrl29iulWmzgJsTWbhaCryKKrB1YQaDHbNmxhanqKbjRLEpUI4iYlS4AVKXlsYEvcjgxDSuQrLpm4TjDodFsYnsviwhylsoUV5zx05Cg3XHABdxw5wYa1Q+x96AhDwyWyWFdl7tdfew133Xs/3WCWX/7JX+Td73k3x2aarF81xNx8E71cp5XN8fKnXcFHH/w6RiL9U0LdTPj0H/827/rrz/LPB++HAFaODXLy1BQX79rD3v0PUXNKWJrOyOAAzfY8x4/PM7pmGD/uKlEkcDvsGNvGQw8fYVaf4dIVmwjTnIfHx+m0W6qXarDmMnWmpVwwmggNac6eC3cRtRbp6ClnJqaxDJdtG1eipyYPHzqEXdPp9EK8koOdWfzo81/Cuz/3MUXnzMOcC9ZuJvY07CjnyKHjbN64khUbNnF44jG8qIRuJxybmGF1ZUjBOExxOfVidu/exJmJObaObuHg5AGq7hAVCx47eYqhoTKaZjG9uCCd/RgjNiOVBhNTs9iZTiiOoEicVXDJpgtUL9M9jx7GWGWRTov7KsUdc0g6qYpJiygqZ12yEJEHogKIGphj1ywurq9kcN1KxkolHnh0Pwuxz7rBtdzxyEPYJYlv5tx41XWcPnOMzRt3c/fD95PmOStrZfbs2I1TqbN15xZ2XXQ14wfu4Zf/4C08/9IrFdXyipdfzv/8rT/iVVc/W4k5h1szPPjYXnYPbiAaNtjWWMnHv3YHz3rGJcq5dMXOzXzl9oehZDPfnOb4+Ayu56pYssz/BRuuJeqcwm3UmJg4zuRimzHqimh6w2WruPmBfcwsdlm9os7xk3PUV1QQ1ul0s0fFsXjR5c/C8TSavRYHDx5mptVjeMUwhqdx+OQpBpwaI9VBFQffvHY9i0GPxx45hONavOrZNxAbNj/xgl/grz73F5TbFrV1He6++wC//vO/xt233s7nHvsKXlKjUnPozbe488ghrrxsD/FiRHWlw9jAKo4ePMIjE0eIo5y3/vb/5APv/4ByAB09eprrtm3Bqzl8Zd8hFhamuWDPLn73R1/N7//Z3zM+Ps+xzhyX79rBRdu3cfTQBANrBhk/c5J4PmFgqEx1YJB7HzzIxOJpXvXSVzO99wFe8zM/y12f/RKp47Jvdi9H9o7z3vf9C9/3pp/kJ66/imqlxKnjJ2gM1/izmz5K3dxAbWyMUCKr3wC1qNI9XcP2HCUqZNlZgEY1j5jvhOrc0lKN1NaUmwrpR8vEPVwl6fVUF6eRZeSOSybAjbhNngoZVwCoGRXHVHTQVJQdgUv4MZYpDjoJcrbRQx1NxXUdNDsiCtyzEUcJ9HbaWJ7oa+IelGix1OWZdEMdtySkXxHLXEwjJO0mVHTo2CaWiCNpSBLl1AZEWIvITU+BizLdVDFiIxYPaRnJpep6Sib7KPbBzFAdb6YhIlCZsNfCckSkEmiJRSLwh9wHEU9kn6Oe6iZNVSdhQq6ZpFKrkMVohkueBRi5jqNLC5pEXMUpnZEkJrZpYRjifjXJU19F93NTJ5gLlcCk2/JcU/UAJrqOaQwS+x0lyOUSffa7kslVN0iyno5mZMoNaJYHiIM2eSj7MIAWtwlsD12gDELCFZVMk743nSSQqL/0IiaKcCzCbmbmCpCkEdPtyDEuU7ZzepmLEcyhoRGkBrr03dmmen2UClXZJrc97Fxi2C31WZInKWbJQcsCskxkxIzcNtFj+YzOqDYqtJsxuji8/QijVIOsiyWE4DwkCRycslCfY/JeV9FrnUpNdeSF0m8on6F6opymwtvVTU8JwJHfIhHnerVKx5f5FHCVGBxzDMvFchLSziKBNUjFzJSzOoxTbBGnq2USeYskmeq6lX1w5fjFEbkm56lNrxNQqVik3Xnsco0wsSELFfFZHKKGkKKTiJZexvUXFC04UY7Dsw689kyHWj3D9DySYB7dT3Gqa5mKFzFLZZwkV6RkiX23J1OSNMGpVlU0O8lA00wcJ6fXDXHLhqJbl4TcW/aIDIda1KFcM7EFZJKbpLZHnPqsG6vzQ1es4mNfPsH4eJNHTj7MXKtHo9bgkx/+3FPx58v5cX58V49C5OsXN2QsFfzE8SXuNHHzibtvqTCyVMCS18uFTNFhVwgzckEiFyHiJCzEjeUEm/6xVJDpf6xfIHyyIp88v3D5FaPYnuWEuH6hsn+dyzkLi+0oxMRzbWv/a/rH0n1fKnwV87B0W88lHi0ndi0Vk5YTtERsLNyI5xKflhNdn4xQ2D8PS+fgXK+Xc0Ti18Vzlopjy83BNy13mXl4on17Mstc7rXnWt6TXW//z+T9U7i0ZNtlH8TJ+WQdfd8rQzrOnghs8F9t/FcTX/+rbc9363jrOcS9bzX/IuQVYI1+B1+/q7H/d8GT+T34lMZ10xi2b9uM5VZJ80TF6qKez9Mu3KkuFg07pqR7jJ+ZwClVMbIKjbpDqVRloOYRBDH1Upmt69cTyYWoqRF1A4w0o14v43qDyj0XS+Q0tDg8P06lXufhUxMYUZu5E9NsbpSpWhXisM1cq8NtX7tHRa0mFyM+/aXP8+jMPIZjkLmwEPWo2i55kLH36Gn8yYgxUzr8Mq66cA0MXMOPv/56dEfjXW/9XU7OzqgLwIPH9jNQarAYBARxzPjcDLbpsHrbahY7TQXtEOHv+MQ0n7r7K4wn47TaPvsOn1AXXJobYchFtZ5xZqaJ5kF1sMTuS7czMFAmzVuUyxaTJ6dUHHa4UeKhg0e597F9xGlCdyHGCA0cKTc3Mt7z6U+QpFJAr2FqNpdvGcLMbVpWiLWiyoU3XEXrzBl+7BnXsnX1FnatX8eWleuZ1Xzybk6p4rBx9WoOHDuFbueMz40rsMGWDaPsPXSC667fTWVlne+79jo2rRwltzTyxYTJM/NKdAlI1UkkTidrxMCv9bjv8AnVHZbMRgoMYOo6WZKwrTys5js9HqqLbpU7NIR8qql+PhGJX/4Dr8Sf6/Dx2+/Etxx2rF/BjD+nerWkT6pClcfu308vSLn3zvup5jrTzUl6cZkPf+IT7D1+L//yz+9V5+Q/fPADXLJlC1+852EOndrLp//PeynlOjcduJPJUsbJk6cYLtV4ZOEU3ZmErx/Yx0XrLyAIUgUi+cyX72Zuss3+wydIuzbPveoq1fm4ff1GLtl2Ae35ozhWlfoql8u371bzUB4ymfInuPXBg0xOdrn6mVcwvxizcdUQ64Yl1r2Ri9bt5IpdO9WF/KnWFDfffQ/e6CBXXnohjxw6xLETE3z0bz7FzsZ6Fs80WWVUaPtzHJ88RbnuqY6to5Nn2HvgMX7zHb/KwMYqR459na986VEWZwLe+8H3cfOjD3Pxhms4On6C45MTLCwsolV1xudO0gq7HD1+inWNMTauG2HT6nVsHl5B2G5y4ZpVHDx2jD2XPpt1G9fxtfuPcmZmhtGBVQxYDm/6/b/kf/z+37JqsKI+PtazkvnpRY5MnuLO+x7i9OEZNNvjuTdcQVKSnryQS1dvZPbQMYx6mbf/r7dwwUVb6IwfIpid44de+jx+7H/8Cj90yQXMCyG6UsEbqrKqPsIloxtUBFPq6CToKs40LctVl6bU0+FLxl5EIrk6Seiic+MlO0mEslrWcQ0h62aioSNWWVuLSDQRhSDTdNJe5yx5t1LDELeX66q+ryjT6OSeAGfRo7PwCBGlbFf62CxSM1JOO4mWxh0XLUwROkjQamM7Nr22RdyVQjcNq2oT5jqeZeCIeSvxsKMFYl9TQpp6/2Q5iWFiGkKYdYi7uYrZ+t0M3YjRYx+tF5PHsgRZrHQNJlRruhLUMj3BLgn11aPXysjcFaRpLulmTFeeG5MantpXEQ11iQALnMPKSQKFH8GSiLHQbq0AsduaQgoXIrIInZaN44n7K5MaO/U5KM4+0y5LrSe9dqLgQJbQdWVu05AgEYCEraoYxIEovXOZxG4dC02E2chR9GGJx6ZeibDro6UpVnkQTSoc4jpuJo5ISznyEgFshF0FHBHPoPTllTxxhCdYdqLgvXHYojXXxtBtSkZPfT478aI6/nIzY2DAUS5nreoS6DolI1O9fnTmCNuL6jiJWzGzLAxFbq6S6gPIypKeSSxzkko3XozrRKSljGq9ctZJF1vouaYATLoh8dWQcqUOukFeHlDnr04J3RjE8EQQdtAtD89xcLIecbdDRZfocI7fC3ATgbmElEomRi4idk4c+JimgxH2sKW3Mc7ORoptDzpd8sgnk17WdhMvTVTVhDhU6XUw8hDH9SjpGUHu4AcR4cKcOl9z5c0Tca5GZBqU0xap9CSGGZIedvNFFY23PIum3NRpiWN2iI5mM9uZIW+mZM0epCHhXJdWs4fb0BlYIfMpDtxIVWBYkgLvBpQHa0QYONJjqYcKnFMxSwRZQNhJoVRjZKTMH/z8DbztF76f+75+O//7fV/m0f0nODV9WkGYvvK5r/NzL7/xqfrz5fw4P74rXXzF6CfA9gsnS915heAjX0XwWwqJWArVkNcv7RATkUYeL6LCxYVJId4sFcCKf0WkshCFlsI0nshBt3T0d/P1D3lMxEdxSYnAVcRCCxGquHAq9lXcf0vBHctthyyrP5bZ/xyZx2K+Rbjpj0svN4p46Lk6CPtHcQyKPrf+8ThE4osfUqJtf4S4+Hm/m3A5IauISPeDMJZztxV9jv0R5eI1hYC53Ov7xWZ5jZwj/c/pP0+/FdzjiboA+9elltvXSbicCNcfqz2XSLc01r40klssf7nlyrb83LrnPu7e+1Zk3iczvtuju99JAp+M/2qC2n+17flOHG/k498yNn0u9963mv9+ga+AUS33nn6iGor/UJFv+87NnFqYYXZqgqpXYahRJrczjp2cYGhgjMS0cD2H9WvXKGeCRMiCXqYIpHq5hmsbzHWbnJ6aViX2dh5jWxmDYw3CxOfiCzbR6jbZs2olScXg0lW7aM23KZdKDA8MURmucmy+zcU7d1ItV9GsnMV8QTn/xCnylfv2UjEt6nKBNwfXXnsxF180QKnmkMcdqnWTUwsd1c/2ghteTB49BKufSeJn/MTvvBnPEReORqflM9teVN1Zuy7ege4YBEaMP7nI//yJH2Prhg3kZZv13gZFumwd97G7Fu1KxMhqi+3WCgbrZeJujK0bKv4ZBTEP3yvddT3syigPHR/nOZdew+JsyKnpWeXKqNkWK2vVs2qFrilSqe+nRFmCYWqUxJ1Sdfnso4dpLiyQhjZ5N+XzX/kSldzkA/cd4fT8OI4zppwee9ZuobSuTKcZsWfXdsbcOnMzXYYGhti6eT233f8AuqPznIv38He/904+cNvNLHQDbNvBEueQtNQnEufSlOhy5Z4dJPMwf2KGPVvXoUfizrGUM1Iu5E3T5HAwd1YsWeMRTgbkUa7cSAS5cguFCwG3P/Qw9x87xE+88YfYMDrC3LEWUccnaflYEi1e2yBpSHH7IgPVGt3EZ0AvsTh7hBdefRXZTMQPv/pn+K3feBM3PPN6Ts1PMOh6it3QtnQq9TJjdp2Jo8cYGxylMVxi5WiDqcVTtOIusdnirvv3olcMXvbsG7n06t1cfsGlDKweoN0KuP551zITNamHFVYMr6Ra8tiQDTA9MUXc7mE5IbVSiaATEuURwekesRZwfG6Btu8zHbVUpPHGa16gKK9zs22y1GTUqZBEoVRP4c921XvKHTKU82/36DaesftaBksNtlQHWdFYwf0HDvEHv/ZbpG7KbR/8PCe7opfmNAZLDK6ssWLNCENbBtmwbj2XXX4Fo5t3UNOlo07K03T8IMSrajx69AR+EFAaqjK0ajNfvO8+nr7nYo6f/CoHJ6ZoBYv8/Zv/kk1bVnN43xmu3LpNbdvDC2cUkXU8P8qmjRs4OT3BNddfzrw/zz37HuDLd+0nDyJuuPISVm/fwJ5LLuXR/Uf42Z/9dT79hc9ibR7hkVOTPPd5z0PTTT59z1e47dAj3HnPXQRxitto8MzLnn72HJN2vkgEPl25oqT/UeQfTZxGia8cQ0KljVKNrz52FM+1CFJbQR3Ee5eJedRy6AUJnpsq0q5cbphlceBp5GGkwA4i7IjzTeKyrpPheiV8Q6K2YkNKiWIDz84RtSLTDPW+FEHLHHKVS82wqqQEmFaO7US4lo1plJH8rEApgjjAyjvoijKuk9kGgYgfdoQhcUuJracWUZIQxQmWEZKEpnLEpWUBJ5jYbqKIs5rm0u1mqifPycTlF5LqQkbNscXpqOXU7QQtDtEMC4wM0m/EjpOU3LQViEM6BF1DaLkOGA1FIrbzLpoZKxeb7ooA6NBr+Qo4EUrc2HBwHVPddNGNBEsHX1xkhjgDdTUX4vhLMx9DvqYC3BBhUcNy6iQ9udERE1tC2c5Vh6smtHTdQRgVieaSaSKkuthmSiIQEjPHtCoE4qaTewMSA80ipMVV1i2ONvkckWOfZ+Lmy9BMi1B3SOU5CwmdrjjiNPJeRDVs0k5dDCMi9wbUPgmJVmAgVfmKTijk9qyrhM2yZ5D5PSw7VWJvK7Ch5xDGc2iZT7VikAUhrdRU0WC94aBFbdUHKh2MQRQSBD2izoKKI1tmgGaIozKii0eUG+r8rA7WKVcHcAYr2LarzssgTHHExRnm6JUalVLCbFvI8AZZz6eS9RTsSiLO4thMKiOECrghXYg98KrEAmCKuooc3BgZplQrUR4bIct1TEc6LFM6rRn0bkcJ4JkQiYc2EAYxU5Mt/HaLzLUwheprWUQy6Rg0yhqGJ0RfDbPXpjaS0pCew6CL35H3KKrbVlylSduHARv8HrpZxxVirzNKb7pDL2xi1KrEtsXdX7qJDStHeO+7buPmrz7KzHyHex7dz95TB1jodnjatgv4rV/7Iz7wha88VX++nB/nx3fVKASNfqfZUiJuMQrxpF98EjFCnHwiXPQ/vpzzScQjESz6e/oKQUv+9S9/OQffUkBGIbwtJ6Y9WffCk3EFFQLX0v63fnGoiG0Wj/Wvv5jbQiwr4CKF6FcMmcfieLw3ftU3CWvFWLr//R2GxVgKCul/7bkceIXQVpCKlzv2hRC4dN+Xu5gshNgCDlKIVkUf3XIOvW9HnH2i58qyJUr7ZIjExfYvN/rnbylM4/HH3/429X85r5eOfvrz0tf1A0KeyGW43H6e63VPdvxHxzz/XwArvhPGk52X76VOve/W8fe8/FvGif89oxD4itHfF/pk3cP/YXHdf3r3X7EQdmgHkYpaOrU6x06coCMXNE7O0Og6gjDE1XRcx8MSoa9sEwYBM80mg6bJydlFGlLSneeUrRq9nkTfHJphDy3qoSfW2RL8ise+o4eoUybUfa7cvp0jMzNMTc5hVXTVndS1YryOzon5loqLDg45lDKHyfkmrqPjq8ifjq7r2GWTWHqddNg6spYjcyf45D/9LS983c+o+NRoSaixvuqXanglXE96l0LGvAoHZ+a4dvcl6oL/hc+9hq5n8e6/+Ce2r1/PXeOP0TsTUB5z2OANM+e3uHr3ldx83z1kQvzthjzv6gv5+slTVIMSx8+cpjxc5RmXXMidjz1K1dUZn+miSedTpuHUpI8uP9thJXYkcdRYOmvXrGTy9BSlep00iHFt6fDK1YXl8592KX7QY++ho0oUafY6yoFnGy7r1qzn6PQp1tcG2HvkNKsaJXZdejlZc4I7ju4nb0MnjVlfajBPwOJCR/VrZRLNFRplkOHVHTavWc2jx44jXfxSl1YfcOmmIfFCgi5RxLpOFueqc6s3F1EeKtOZ7p7tVxPZT0RLR1eghTe96sf4xFc+S62xm2FjloOzU4yfnGDPxRdx4sRRslbGjl0XkbfO0NMs0naTjq7R7bVptUQk1VSUuNsN+cmXvYKPff1Wtq5dSa9jcvjMQX7+xmdwX7PL9Zft5G3v+RjjJ2d46fOu4vj+eYbWVtHziHsfPMzTtm5m6+4t/NNHP8VLb3wex08cZ2p8kTz3GZ+e5xnPvgZ/Yo6jE1PkWsau3RvZvXETN925FzOHhYkFqkMNRgY8poOE9SMuX7rnMS696FLmF06K95WtK7byyLH9RFpI2dJ482/+Pq9700+yfe02/vD/vIPf/JWfpj3bZWjzIIbv8fW9d3HtdZfzwGMH2TAyytve9k713vupn3sFbmBjODpW3eI5z30h83PTlPUS+x49xuzsGdV59vJn3cDNt3yRySRhZ7XG7uuu5T0f/ChjIw1FuqzqZcySy1cf2c/KFeuZXTzD2sYozXaTsYFBSpbFxPyCgkFI/NKJU7ZdsJnedJsw6RHrJj0/oua6DK0YJBKKqZFz+swssR5y4sQ8lpXy3Kft4VN33MHu7dvI2jm/8b//lHe+7Xe44Krv553vfiuLiwsMNxoEQh8trcEdaCghTqrNhMxpmpqKBboCI5UJEL1ZoBfC3UgzUnlzmC5afpbkKYKXbhmKeuoYCZnfIhcXr6GjBRGubbEYJLjS15cFdEKBYNhoia++d0sGeQquqxGK8yuKyL7h5LMtBz2SaK10ncWUyyWibockLSsxKOwlmBWTPNIw7IQo0JVYZtuBIv6GSQ2zO4tuybIdbDNWsAq/HSvIhaxYQCISR479rnJjtTqZgoykuTTpmSSuS9o9CwhKLA8rS7ANAYg4oEtXm9QQpISBCGQZpXqNNGmT+TlJXsbSu2i2ThgZWK5OEoeY4ph0PEyjR+Q72HGbSCvjeLlyUwreNO5G6F6D3IixQh9fREFJ34uoHgd0ehqNAY8gi9AkVmqJKCYx1wxNFxI46HGEWS7Ra3awnBKpP4e3ejWtGXH1eSTdJpZlo6Vt5YqT+1J+JK6zmNAokYm4Gsd40s2a+cQyH90ITWofLAOvrBM2A+VMEydnL61iE2EamYKqiAgaWlXKWo+uoL9dm3KlRBAuCt0ES7RPCVnrGlFg4omLs+SRzAZY5YxcnHoSARb6euxSEhK7YyoXZskWCIuOroApEk3OMVUcOlHR6ECgJZlDyc4wDUOdqyJeVzydXpRAEBE3BtEXOyrWH/mxgpiUKjrhQofMGsB0RIw1semQ6A11bEI/xDNDEonslkyC0MR1hTItBI2IuDpEvjij5qqkzkENx5UYbUqjXiJOZH0eUdBRRGWjaTInVGrHpCTz0O7iVct0uglDqweZmu1gZhmlSgWj4xNpPfxAoz4yRLcZoTkZui6R9EW00nri9jwVJ5QWDKgMq88TSQIYeo91gxrxVEiow8NH9/OGN/w6f/TH/4M0yXjJs25g+nSTt//VO5i55Z/5ob/+U7700a8+FX++nB/nx3fNKBx0y0VMl47+OGV/PLK/W+zJRFuXczmJmLVc/1p/FLdYnwgU4gjsd6/1b++3E9V9KuZv6Taea+6W287+x/oFTpmPAtCwdDn9fYQiForI198N+ERdb8sdZxGnvolCu0SA61/2ucZycd/+bSi6HpcKWMsBIZZGxYsOvv64cX+H3tLXFN//Wy90v91Y75NZz7mW8e8Z/et/sp1858f58VSPpZHR76Vx9TmItv9Zo+ivXa4vthhPtpv2KRX5fvF//hLlsstwaQg/EMEsoeP7DA03GKwOqIs6ufgOum1q5UESN2dxZpGx0RHiNCBodpjrtKnaZWbnp3HrDmbqERNwZm6KdmuRUMrZ85SdF27nzlsexnQ10iDn+ksuYNX6tXz11q/zjGv38LX77mdidh4nl2iezVRnDsdy8MNAgR+yrlzwKy8Q9RUuF65cwzOu3M3zn/9isNbwAz/9cvw0YmVliL/747fyf/7gz3js9Cx//4738uJXPIe1m8eI2jndvMfLrnwOM3MzPHLwOD/+ihu4d98J1oxu4V0f+Sfl1Lngwq3c//VHuGLnRiaCJvOLbRrlQSzHY8Spcc2OKh+55QBbdq9nw8hGDBMe2beXe08dZPuqFRw4fAaEuijQgUzDcHVMV+AQsboodAdcFVuUGJxrZWTZCI4W0gkD4tjnwtVrmAsXlOtCqssEXBK1QuKyreZfs2H1qhHm5ubVBe4zd27jpvsfYnGmzVm/1NkLNC8yCOyE3/2xn+H3PvMPJHMRm8ZWq+44gYuIm1DitFLMV6oJSGWAbqtDIBerWU5spBiiDSSmilwHYaLEGenV0iWqK7m/HC7asom9p49R1Sw6vYhNK1bS7HWJ45CtG7Zz+PRjXLh5JwutHm6W0xhZywOH72Z41QblYhm0LJqdDkdPTnHjM69i2K5z64N3MbPY5mk7dqLnFbatW88rXv8TfOiv/4CxNWtod7vcc+gBNq7ZQxp3OHn6DOs2l9n/0BwDwzbjZ6Z40Stey/5bbmHbpg0cHD9JY90KkpmEAUdnNu1xWX0LXzh+H7/7u2/nwf2f5ssff5CReo16vcrWzRvYduUNvP1P3swqc4CX/8SNfOXj9zM+O0tmJTSnT6M7Hp32AhvWrldk0Cj0GB12VE9f5pqMz51gz6YrOHJsH0OjA0SLOuu3rqSz0Obg6UdZOTTKZRft5sTxCT7wuU+wac0W3vYn7+B3fv2nKJVKvGDbc3jn7R9WnWWTi102bhrm6h27ee+nv8Crnvs8XvHMH+Keuz/FWz/6AVavGmZ8fFYJXR//xy/wsX/8Sz78hc/h2eIIS3n3uz7FT/7iD7J79Q5GVq7i8L79fGXfw3z0He/gL979Z+jeKI88ch+ryg3mjYx6ZjGZNdlVH6PV6VLyBrl47U6+uPervPDG5zA6upL3vv8fuezya/j4zZ+kmSQMjpb58e97Df/4/i+gDw1iCAE2gThJlOvLNkyyTJygIoaJ8ibdcGdBL1omYABNxeINU1eQDc2IVKdcJmTeMCa3LGw9IYwljmrJq0nSFNu0SaT/U0RAPVNdd0kS4nplJaCnma0cWIbhKRHSsjSpukPPpDk0Iop05a4VF1ytotEOdGwtJUih0nAIuuJ8kxxwpoQNES8EhiAwmXKlRhAkxGlOqSxOrZgwtfDkuUlAmsfKzZo7FlmQKpHSFPefJN8NAzk8cXCWxhwttrBLnnIEipPPsyFKDLpCenUMJQQRCcRDp2QJDMnBsEyiXpfEqWF25tEcTyYUw6oouJGW9NA9i6itq041sR6GPRFdJTZt47oOi60OZQGLZLGKyPbaOlVbI5AORHERioPRHUZvTikoiZH2yDybuJNhyg7kObYlfYgV9LhJO/dUB6CAOyKhDbs2WQJhr0fVLZEYcj5o6ELrzVuEoXj7xDimq846TURNT0Ad4OepcmcO2z6TQYlqSSMUeAjS3aeja2VKZkSroysoVKR9w8koYJPcVg48cdw5RowpN1JMVzkMpZtQ3My5lpOFthxUqLloSYYehgRxQqlSQzNsWkFIWQ/JggCtLDFfFzNrossxbWvYZZdYzuG0TWSupMQsSaqpOouSdEzWPAXl6cYOaRhglSwloJplhzTRCUOd2pBBElhE3QUysySf/KTtHs7wGL2wjSVEYLuGHs7ji8ibhBhOTLsj75eMUrmEVXcJZnz1GyCNDFIjpCQOSiPBdlfR683g1SqEi7OkiYM74pK2pdNvHr80RrQ4SZ6XyawmFa2Et6JBe3oGs9ogaU2TGDVF/DXHaqSLHaoDtprnZ1x8Kfd8/cus3biRm754M1t3bcAxK5i6ycnxY5xpTdPyNZ5zxR52rF3DK1//35+KP1/Oj/Pju2b09+AtdT3JhUEReytEtf4hoosIUn/d/LPH3WRFx94TQQkKwaMQa2QUglYhUj3ZKOJyIl+x7f8ZY6n7sejeE+FMutKWEz+LsVykVOaz6Dd8orF0mUsv8pYTnoq5KoTB5QS1JwJm/FuFqm/1uv7I6rnAGE+lQLYUtrHc9vXPxblExeKcfTxivMzzlus27BdVlx6TJwJ49G9nP4SmEL7Pj+8MwMX5vrt/3/heB470z4F87b+BUoylgt9/OnjjbX/2v1hsRQpIkKIRpr66iF23so5barBi3VoOPXaQSrVBySsxvbCIrqVkUUo76KhuIiFQSsfU+sogxxfmCbtt5sThoWWcaE7giCLVkXhTgGM7PGf3Fdy27z6BFNLptdTF3kC5RFbTWJkO8MD4EUVTNKo2q4wBVeSVRCnHTsyTZ0KEhcYKl9c/63o++cAdvOtt7+bFb/xhPv23f8HzX/+zRN2ImrhJ0pi1A2OcWVhgzcg6jk4d4fufcT0fufU2LvvBl3Hfu/6ZzZvWcTqc5XUvfgn/+IGPYwzpXLXpUh557ADX7dlFJe0yunkLXz9whMmFKWZnF6jEVdzBnF4QKcFg9fAoDx8/oeKFArIQn1scp9QbHgPaMD/6+lcQnzxIZdvFEAT84V/9Jb/6cz/DX7z3PWo/M1+alUrYlk671yExM3YNbKAxNkDmCPiiyeTEFM1uh7o3xKQ/TcWxsVKL6sgA0+05FmZbZFlCIn1OiXR+yXW3zk+9+PmsWDnC7/3dB8gEkqJrStwToqi4ZgQAIC4SmVMZY6vrPH3TTm4++BCtmQBnwCKaF/ck6GWdvJmRmhoN3Wb9mhHe+MOv4K/e9T6uvmKPEjFrhqOcnSU7Rw9j3v+F23jhs69n/PgshxePc9WODXiVDVx7xU4++dEv8PpXv4rP3PwFLtq2g49//SZ2rdvB6KpRHr3/fu47NcGLLr+amx+4E6de5podu7lowxiHTk1z88H7eOFFV/GFe77Oa579QmZ7CeOnjzPbTLlk+zD/8LHP8Zrnv4BjkydYv3YHr3zmdbz2N3+TSqPKmtowN1x5Mbff/yBbNqzhi5+5nSk9YO2KAf76zz7Iu97+Vu45sp+JmVledO2lnJxq8vRdF7J/cpLb732I5119NYcOHyWu6Jw4c4xaeYjtQ6vp6OLss9k5tpXF7AwDeZ27Tx7ETDL2T4wrd01nLsUdcimncPHmjYwfm8evaKxavYq7H9jL6rEVrKqWCPIm41MRA+R468eYOj3JWqPEmU6bV77ypfzNv3yQi2pjrFkxyj17D+AMD/Enf/xbvOevP8Lx48e4/dijJGHGtpEGZsNlhdfgd/7g79Qx/sM3/xIPTR0k8XOCJGXP+m2EWsa9D+zngl0b6LXO9l7OLSwy3Wvy4l27ORPF6jx/6NABVq8ZVG6it/zyn/KW3/0pBfa49c67OXrmDLZr0F2MGBzeilerq9ifFkr/XqqEO9MUV1dGKuqZ9KeJGCeil0A1TAEcGFh5SK57ytFnYBJG0s8XK+hNnmmq3J88RtPKEM3hWiaZIY4tObdD+RGuOFetCrlELx1oi+hmn21YC0XTTkLySMexMiwro90SZ1qFTByFYj30Jd6okdmoiL0un4tamTzu0ot1SrUySZxgWgl+L6PiGqS9SJGqEWJvFmBHMV2JvXbEqWkQNruYjRq5RJd1U7lkRbx1ZFuTDr3YwZLlJBKVdFXUOI3PAkMomegC2RCKb9pTXYQCHxHhPTE99CRHF9BDLtukE8VyZyVTUdZEorK9HppUF6QhqZSs5fpZOrGeqmNRdm38The9VCXvNcnthto3od3KDRkjkc48l0TPiA0DR1yRAjQpmeS+WPtSssTBszO6AhPRbcJel9wwiWMD1wxINU8QJ6S5HM+M3HXIZNkqZBuTiNvTFRyHRIQlBiwQCKl0THEs5eMj87vKtSpc4TyzVExXeudMJWyCIdH57GwMvKe7GKZET21yv4cjoCh/AUsUVs9TUWdx3jlCa9YjDIlCJ/K5HmIZngKvCN0510QkTilbZTqmQ7QQ4EpcuiTkXY+408XK2sRWjTiMyYwyeixAI2EVn+13zBKNVrdL9RvwmKhcU+5pvbOIVamqDsdgzseqWnhVl3ZTQBxV/PlJtNTAqdgEcYYjbkK58eKU1c2ZnulRzhbJnWEczaeTZITzPgOrV2NoPVpTi1Sq0ufnoSW5IhjrXkjagyDVqZUsmt0UzzoLVU7kHVfNCNsxiW9TrqdqjlavK+PPpQS2iy3rVzASnWqjzKEvf43/9pM/wr37HyRPTBr1KkePn+T4zATX7bqYOx59hKHyoOqsfejAEXwt4baPf2//YXh+nB9LHXxFv5lERkVcKgQH6TvrL/OX6KhEDgsRQtx3xf+XA24s/Vo4jVSn2BPQU4tRuNSK3rXisScSzWTIeiRe+581lop8/aLQkxn9rkjZt36S7tK48nKU16UC1VLR7skIRsXof34h1haj//9PBtxRzMFyx/eJHCff6rF+92JxDi43loI8+s+hb0WuXeowLOAWBWjmXE7U5fapf7uXbstS2u6TAXucax/PO/nOj/Pje2e8kY+f8zN4qav5/wl4w7Q8Vo4MSqqMKy/ZxdV7LuSqS3Yw2e4oiuPUmWnseoWhgQbdUEQmS7lSLF1nqOTgigslTwhbbU7NT9Hutljs9Vizts7M/Cy/+cofYHZulqlOm46fsDC3SBQEeK5GVIuUMywrZcy2O4TNiEOnJlTEVeibo/M2Z7rznDk1z9GDZxhaKd12qsEe2zR52Wt+mHe97U950Y/8oOqkesFP/izpYsymoRXKQbduzSpaQY/dF+1EN0Iu376didkmL3/mtQzfdT9bL1hNFrikRsbHP/85PvF/P0c2lXDBllU87+lXYVZ17j85xwN37ufuhx7g4k0bWbtymMWkxdo1W1m/7SIuv+hC7r3rCMQab3jZCylVXEXctUsmr3/ui3j29Vdy4dMv5sRil6/c+hk2XX0Jumvz5x98H7/zk68VXidlp4RTMWmnPeX0y1sJj40f49GjpxiuN6jYLnsu3Y1eKjPTWaQsUbpIZ4Gc8dkZFicXVQRPS6Vry2Tt2kFFrnzPn/xvPnjfV3jz37+fzDkbrxX3ndCFRdVL5flhTt4RsSWnUbOYPLHA3fMniSciFYdOskzBOFY2PLJmCg0D0oxOHrK/c4ZffPufcHB6Ck+IzL2Ad3z8X/jEXV/l8Ilp3vulrxFkOf980220Kj0lmhyebLLrws28970f5MGTR/j8TQ9xy777GVs7xM5NO/m+V17F3/3LxzCMBtu3bSNfVWXXRReywhpWcVDdrTA5OcWO6mbCJOfG3dfQDBIOTzzI/qMHePTRB4mzQArCaIoTVB/igX338cpf+e8sdttMnVpgxcg69k6eZDYJmZ5rsuNpG7nk8s1MTrf4uZ/5AR4+dpCRtXWesftCbn1wv3LR3HHgET57x9dop232njlIbPlUPZtNQ2vYs34HA/Uqbmzzqz/yBr7/hdfjaGXe+alPq76xM3M9BgdXE+Y5m1aNcvGa9RxfXMSolhm5YA1Zt6MiuuvGhhkslZnr+kQCVXUz6sNVTAVMMJmPUk425/nrz3yQ5114Bc004Ov7j7NybIyfe+2r+Y3/8Zt0tYCd69Zh1Wyu3rKJXPNYsXo7jx08/fh7frBW5enrrybohbQXfXq6T23YPBvFz3RWN8Y405vF8Eyu37WbhxZPEOYauuVwojnD7/7qr3PsaJMPvestpIYAK0JWjjSwBBDRg5LrUB72vkHZyFV0VfoElYtV3HIqmis/k445HVuIq0JfTQwl9mWR9JCFRLGm3FSWYaj+wySX10nUNiBNpBNOHHkGYS5dY/KhKM60FK9kEyQiXHfJpEagK0KaEGsNJXSLszCSqKM4xUyDXmRjSBRSxYMrGNJFWTbRqhW0PCbsBmRmnTj0iXXpXMvI4wR6CUlgCDtETK/EeURmOWhmRhhCFxddOkrFPSe9gVYFLYpwTQ0z6eJqGZEAQfKUJLepVMsY5RKaZZOJ6i69g4irSiPTKkRBhshG4kbLwxjL8kgRx2CoIA+pnsrphmxabkTK8ddpK1QOQrgQQcyUbk5NO+uaSxLSXia/BcjTkEqtQp4EeAMCTDKxRSyTygFxuomIJgwV3aOqydydhXeIGKdZBlUllkqqtKdi7+WSRIAFUxFSrfSU41fcc1bJoFwC3XMUkV2ccYk4jusGdrmCoZuqd7CXJ8S9s3FYS2K34noT2Irc3Eik59MhFZprAFFmqmoHcb3JjY7M8ogFcBR70JV9EDhUhZQYy/VI3IYihss5YoiPU8hBuVB5pbYgwbZczLLQgAOwIuWqFNqy3GjSpyeoVXKMLFSCWHfuDH5usei7aJE4BcU02yI3fdIkRrNNBUQy9JSqbRKL41O6DGM5kmLU1tXnVU9gSmUbP3MJglwJhCLomqUGppMrwEZilbEFQGV7qrs2TjJKtRqlaoO8N0EQNMHvUh20sePm2XU0BgmpYCRdAquunKO+n1NSDn2H5nSPkuvRzFM6QU7Q7eBJh6A5QLmREgQGhmbhh+JuzdH9LlGUEoeyTzlaL+Da63cw1ewwvn9KOfOPnj6tPveuu/jpmJbN1Rdcyht+6vkKYtXLUr7/hhueqj9fzo/z47tmFI4IEfgK8UHcSQKd6IdkFAKgPC6ihPy/ADQUPXXibJJRCBfFhYZ8FcGkf3nFz5ejghaQgqIT8PFut29AHYptlu8LN5x8Ldbznz2KbSj2+1wCn1xoiRhTCDKFQCP7J/Pa7+xbjjRbdOz1C3+yrqUdef29ef1fi5+r5SyJ58roF+P6Bb7+//cLfP3LXDqKOVjOkVj09y19bT/8o3/ZxfEvtrHYlkJw6wdf9M9fscx+AW1pb+G3iuHJ6x6dvfLxrsLl3IdFh+FSp1//KNa73HwUIm+xjKXdf7KuczmXvp0Ow/Pjv+Y43793fjzZITewloPvyCg+f4rfw9/uTYOnVOST8nvXcYjDnNmZGYKewXy3x+6NO6mYBo3GEBtXbMS2pY/PpCdxTV2jUakw3ZqjXmkwXG5gmQ6WaTHcqGBXK2xat465tM3/78/fTZoJxEFiXylrVw1yy4G7mex0SNoJpbrEnkyG6iUiK+fFT7sYLzHwXJc5T3qLdDRdozJao9ts45Y1rErO4nyH57/mx3neD76BVDqqFhOuGL0Qr2xxfH6KzM4JFjSGBxqU8pzx09Pce99+Th4+wVf23c/pMOT01CyhGzCq2Zw83OSHf+JlRA0RD0Z52p5LuPOh/Vxy2U4OL5xmsFrn7sf2sfehk/zoi55PkkTced/t3H/3fgaHKxhlg49+/laee+E2Xnj15Tglm3/49KfYOVbhZ3/8F9n9Qy/liquu4Sdf95PKsSIUx49+7evK/bWmViWVi8skozbskacSQZM8X8DXH76TBJsv3PFlgmaTKBVCo8klm1fxa697DX5bLibFvaMpMudovcLVm9fz5jf9OG/45V+nN9FDkxBkTwrQUmxZdyQuKIkJO+gispRtDM9goZWw7bptnLjjFKGbEzZj7A5K7Buf7qgYXbrwDbeSnpOZunJNSe7x0eOnOPXwSZy8zEufcwMbt63lyou2snJVnVVbhjly+ASmYbOw2OMfP/RhFlKojbocm3yElzzzBQxu2sNVF13BT/78H7Nn/UoCKYxfmCWZnKOSmmzYOcbE9Bx7nv59lFeU2LR2hO58h14WsBh2eMNznqdcTddcu4vcLPHTr34BD586xrHWo5wan2R0pCL+IGpDOtVSwpGHj5PMtHl09giHj8wxezJgzKty+cXXMDIwSh5HPHjoCOUoY262Rdjy2V4f5eWXXcerLn8+drWBl1us27iB8c5ppudn6WptDs8f4HN338PJ8RNsv3AD29ato1TxOH3qGBdv2ozu6tx8/0O89Nor+MwtdzJxYArH9qiPmBybnqDX6/KLFZteJ+FN3/+jnF7sUvE8No2V8PWQVesqvObpL+CRY0fQA51KzaDVWeT03DQ3PudH+dr+2znWnWO03CDuxZQMmDlylNpo7fH3/MZVG/j0PbdSCk3W1QcZqg/QMNeieyY/9JpX0WzNMlIbwMk9dg5fysbyOnZtuRwjy3nRZc/g3lvvYUUp41Nfv4fHJo4qV9jxqTleds31pLFQYEfoLnYRGokIJ4mcJ1mG5VjkusAnxLmHiu/KeZ5mMbphqAhr1guVSGPm4i6uYGri3EvRTB09yFSkVAQ/y9OIfZ84EfhEhGFLeBMqZZfEKuEIPEakbonGy3JSgySKQKAGpghk8llmKMKqbohoEZL0AuJATvgELS8Tzvcg0Un1OkGzrVywQpzV0wp+JIAEcZ9l6FqkgDwSj41F9IokGqlhiVMtNTHNiDQRmIe8TwXUYJDbdboSlfVEUMmJU4M46hI3fVzaSqAJZ+ZAtxX12E17WPikllCCK5iuSzsNlatK13IcW8ONeljidE5DDIF+aDZGGpCGEj0Wq1ZMateUcCm8i1zmUQoRDQk9a3R80e8N5bwLs4h2aqLJsclSklicdSU811Tu5Z7EryVu7EvEOaIT2WD6GLalPt9aPQGZSLzfImhZqn8ujXok3US57sS1LH2qrgArjB5+JMfhrHhLHqLLr5mKCHmZ6joUt59st4i6EmOWmw96Ln1y4gBtQKZjleqkcu4IQdh1qVR6CsQjgJLFuQW1bFl81GljeglG6KNlAtWI1b61g5QEEfsiNORmjacirVWxaMtxznysQePsjY9yGbMr4mVZwaZc1ybRPAyBG6U2puqss5SoG8QmgTw3jkhMA8sRgnGCqSfkJQcLEXkTuplGoyTngq16QbNgEQ9xJuo4TkYt7pIKaVfT6DZDUs8i68zQ7vnYlRopJUzdw3Q04iRiQaAqkU8n1ugGFkZ4hiDqEccWM105dzo0Nq4lK1kKuLJ+e52hWgOqZcoEhLrQiiMqq0fOugNX2iTJ2Uh7lkSM1eTGQMT9Dx3mH9/zUa678gLqepWT46e44spr2H/8EWaabV7zSz/HBz/zMNRSrtlxMV+/566n6s+X8+P8+I507p1+xxWP/yuGXDAUolM/AbTomgtO/oz6V9BWxblWgC76YQIiUPR3EsnPC2GiP1JbfC/innwvDsHHxaNv/KwQFEXckWUXok4h/Mj2yPoKB5RcxIjLSn72ZGNJ/94h8yD/CmeWRDBl/ecSXWSOlxI/CxFP5q2YV3GEiZuvWM5y4JGloxCQCtFzqQOwmKdC+Op3ARZE3Cc7ll5c9gu5BY25OB+Kx/sFsX7B7lwXn7LtxXHtB4ssXcZSYu1SwEshni3trOqfl/7Rv53FOovI+bnm4VxE46WuxsLNes4o9DKU4P7lFN1b/aJt8bPzLr7v7PFUk2y/28nJ/xGjEPXf+G3CMP6z51p+h8jnQPG7tfhs6R/F51Vx0+DJwoeeUpFPLuYW/Dbbtm6g1hjB0nO2bbiQPDfZsGkrpD6thUVmF+ZJEo3RoWEW2z1m2j1WrtjCmYlZWs1ZpoNFjs2e4cTJKTqTk3z01s+ryE9YyrBWGOjW2a1eDGI6CwFVXIZcE83M6S0GjM8vEjdD7j12AldIfuICSqCS25RqHmEcno1uidtCLl7SnKgXE/uZ6tLC0fja4QdUN9brXvaDvPoZz+Evf/P1HJ8+w+WbN3LpxRcwsr3GfOwzTI0ONi95xvUqatyNM2pVl+t27oBezoP79vJrf/q/WZxq8eW7HmZwaIDp2Rbrh9epWPOH7rmNu+67ny3GIFsv2EjHjsiCTBXif/bBA3z23vu5+uKdbN2wlste8Fo+8o8f554P/DOfuOnTaBWJl+nqIuy+e/aS+xnHFmYQ+kWrEyqKrGYk6KZBc7pFu9dlrCoXcBAKIdTUuOHCp/G6H3w1b/7zv8AKc+XQGR0oITDO97/uv7Nvusm7P/151b0l7j25Ghda5pqhQRI0qiVHKtrIail4OpGWkMe58Ew4/NUTbHrmBtUdJqAPATJEgVxx6+gVU30dGfYUXTebipQry9Aybj+2j/tOHeJpF19Axde5/c6HGF6xSl3UihhYXzHAYq9LlPdIzZj2QpOwm/HTP/ZaesEUH/zEP/Ce932QZtTj5978Tr52/BHlSvrHj30Wr17l5NEJ2lGTL37snexobGKiOUc76yiC5fED+/iFv3oXrm5y/P4JHnnkMT71xfu5oDrM7tVbqEpeM4ALN2xTjrnG6ChdN6FaMgjGfQaGKsx1JhlbMUIQxjx69DBZ02XTihWs3LASYYEuBj0szeTA4eMcOHoUmk0Onz7JbV+6ne7pFrOdDnt2buYd7/4MvcVF5qKATQNrGaysZGpihrVDo4w5K3l4/1FWDw+zb+9h6nWL1Jrn0t27OfjwPi7ZtFG5nT5XqnPh9gZ//r6/o1KqULEcjk+B2bM5Ndni0HiPl9/4dKaSFnGUMhcl/NE/vYc//6c/ZaWxgd/8H3/Mi699Nq9+/Rt4ePoMe0+fwMXhjW/8fl78Y8/hvuOPqqjf06+4iLn5Jnc8/DBfvfdrXLBxPSf2nSQvmWxsDGL2Ev7qpvdwaG6az3/po0y3mzzn2uspjw0w47cYGx3jaWvXEkVd9qzdil0vs2qwhFmWPjaJ1ooj6awIJVnKnBw9lf7JlEw+EMQlJp19QgXNNaJcF01LQVJ0yyIJWgq8IHRXQwAEtitMA/QkwkoSjMqwAhS4JU1FbAVm0M0c8kA63npkeoRb10mFFOrk6JoHPaH6ikgRKrdtlokIluJqqXKW5dI3luUkSRfb9ZXTSzoz7ZqDngvVFRzPxzNSIsumPJjhyfaJ+JEHpD2JpTokjkfaa5NLMadmYOY9tc40Nyh7XVItwisbqkcwtW1KZngW8iDdd7mFMFBLjRKmEFFDH8NJMMplBewQyEUvtbAi6QFMCToRgeYoqIhyjjkNSA3sPFMgBsOORKsklqimJkJjhXJVwykLVCLANGIWF3uYaQfLzAhai+qzQ0RSiWXHmo2WpcTSYxeFiqqs69KhJ92HQu0po+kOpsBJuuFZonmUEkmnWzlFq1o4JZdEs8nEgdbtEEayXoPA9wkzudlgKTiK45112+m6RRIaRGGuaO669LgmGaa4Mc0qUVYS8zZxlGHrTeXijP1AUZPTzCINfMJOojr35DSzaiUMEWBDH8+zMEyXxBU6bQnLckijlqpaEAJtIqAYf4FUoqlaQGwZWPUqvTyl19Rw9AS/G5E7ElGWbj/pf5SiRh2/J7TmCMtvEnsVEsPFyiJwy5hu+Wy8V2LWmqscgo7foeO7DA6UVL2F/B7R05DpU005AcjNFKMySO7HqktQosu+ZmLKsa0NY9sGZdeh0xLas6Hizu12StfPKLsGLgnlsItT8yhVRjGJsIXKLFRkHNXFFy4uohsOk+MdGK6gB12yckzFzvFWDJB2fEprVhD6GrYj8B6HRr3MmUPHoNvml3/uN7j66kv40v0PcO9991B1arzitW/kL//8nzh49DS/+JNv4Kr121mYCDh64hAD5X9NqTw/zo/vpSHimfxbSmwtHHaFuLYc1VbG0sf6nQICR1ARom+IEPKYLLdfRCpcVcVy5PtiW4r+ukKQku/lYqUQ8/rXVWxf8fzCWbhcx91/xCjEPRmy3zKWc1Ys3R4RNGVORKQsxnJOxv64bv/XpcLdE8VNl657uQu9pTHfcz1vudEPXSnGz9R/8XFxrvharKcQ5voF2+W2rT9qvNw6C9FXvi/i4ktH/7ws7Rh8or5HOQeXjn7wyVLS7jfFpr/RyVeQLfu3t5jnQqgrxLrl9rX42ePOw6KTsI9+3L/tTwVY5L/6+HZJvd/rZN+nqq/ue2EeC1GvuEH199+m4Np/Y+Bcy36qhnx+yL9+x7p8tvS72/uHfPZ9u/Chp0zkcyp11q9ZR6Nao+I4HG12OT41DZrF1MIcpjumCs5b84t0egHHTh7CNgKmp45w6PAhzsxPcXqmyaBWIe8FWCScac8SnxFFLsdxDEG9Uqt7uImlhL/UNJhttTg50UTPdOWEGxgqU2546s5/txfRaoX0FrsMlT28xGVNqU5dF8HDZv3IgIo2SlfWJVs2UKt47Nq0gU21AX76xddz+9du4+67DvDWv3u/ili97TOf5OCpo6RzOmONEnNRmxNTEzTTiE4Y02m1aaxq8Mj4OHEn5e4DdynH1Tv/+Ld57rXXcWRqnFc++0omZycIspC58XmufNrzOezPc/zEGbI0J80yFbeNOsIezPjKo3vZN3+KF7zuBbzkh17A5++6m6OT86RdEeoSKEHoJyRRzMxsm6ljTXQj4+TpKeVe6QU9EhI8Q+PYxDirV6wkDRN+9PobmJuaI4wsbD+jnXVZNVrhh1/zMqqlKs/789/l8MlxfuoNr5XNwDMM5bx77gsvoeskVFeWVGw6FnfOrMQNY9VlJf1eklqrDNuIwiDOKQETWIMWpi1Sh0bWSdENjdkZESxy0iBj1K1RiSysWKNaL3Hg1DEMF55/+cXcff+DDOY1VjFGXauT9qT/yqbV6mLZGkP1OmsvvIbHHjvFoXsP8ctv/VWq5hDv+YPf5hW7rsafnadWLfHpm25hx5p1WAJdMKrKpSnbfOudD/OFe27lyw/vZ7HVZsAeYM0Vqzlw+gy6kTCe2Rw9PEvDqLNu7SiPnD7G9z99F4eOHWV1aQVRqFMqVXno0CHldOoFAUcmjhOaEeOzp3nLH/0trVab33rTy/G7NrPSA1evU1rtUq6OiiLB0FiDyy+7jFWDde47fpzdG1cxuqrG7vU7uP3Bh/j7Wz9I2bE4OnmGzz90O2XdpZznDAwM0Ouk+D2Tj99+G+NzLU6cnMY3QnZtfT5HTjXZuGaYk1On2H/6FLUBF6umUzaq3PfAl/nifUcJuzn2YJkd66XHr8qmgRXYeYsPvP/vOfTgvfzNP/0Vl2zazNBQha4VcqYlTrGEk+Oz/MTzX0zdqvDiZ15PI3eY7bUYtarcP/4gJ0/N8vWDhxndvoYvffxWLl27jrWjG7nj3nv4w3e8nf/2ljezYWyUN7/pTTx6epJjR0/ztb0PcM8d99IzU9SfxbqhHFEioAllOlf9b7rq5hMxWcS/VDfEgKXcdRki9mnKWSp9ahJHF5efLS16mfSDtZQgT+4TGiZJpFPTO6SRprrFcs0kpkLZyZVQI8dVlh9FjoowKp06nyFW4JhAfFpqeYacx6mjPpMiS0SwruqrFKef9LKJCC6Clh6H5JaAHMrysaYER+lH60wGdDKL2NXRYx1PYBg9X71XceS9lxGFYncVU15DORnT3MNCotFdoqRO3ovJnBJGaimhKUxtRW7VRATrzFKuNlTfZyKOPMMnzoReu6BgP2U9w3BsdMMnM6RxUO4XxEocNexYiaNJJPV+Z7vvcr+NkHS6nYgkEFfXkLpzUq6LMFlVQqzllbDiTHUY5qKqGjGZXUFPwrOfC7oDYULqumh2mSTPiaKAzNbwrSphHuP3QI9iDN1DjxKSRFfONsTRp9dJo5JyA7ry2aKF4IugKgASDUuLVBTU1GNKjoEpdOO0olx2nTDDtHwcmW/Dwcw0RVZGOgo9udFRQidAWv8EKiT7ITcixB0dBl3MepUsNcAUIneKI88UMnF+VjjTUnE22uS5S9xtqvNFL2Vk3S6UPFy7InIijmMTWw1sT8NJpaNRnNSzpI6BZZwV4zIBWUksXc51ARlZCUZnATPpYScLCsCkVap4nqn69po9jUAc73GkSL1Rx0czaphZB6PiKJKz6mEMu6pmI5qeoN2CxVaCFrfp9BJanZgBV/oWDUWSl89pcetHeU5bnKteHbteJU5dcj9gtgfVWhmj6+MYcsNtjp4IjXqVOErIrTp63mbh5CSaM4Q9OITnZpw5vo9u1mH21Awf+sQ/cnzxiKqWEIJ2SsBf/sFv8xu/8ou4bkrVG+HBAw/yoy96HhddcimtuPlU/flyfpwf35Gjn6wqvWYy+t1nhfup3/VVPL/fmVU4BIp/xcWRXHD0C2+F0NMvWhRfiwtIcSH1C4OFcNQv0vR3/vXvx9Lvv53+PPm+6CX8twh8RbxWYqnLCWPF9hfzJsKeiHdLt1dEv/6L6f65Xm5/i7hv8dhS4ak4fnJ8l/b5LefYK1xg54qa9l/ELhWg1M/7orBL++r6n9fvhnsi9+BSMat/yD71uxFFOFTnSx+Monh9v+utf/Rvrwy1jG/s41LRcul+LI2O92+juApFJFwKMVnO8VjE24v1FxfjMsQRWrxvCoFQzrF+EbF/m87lJPyvPL5d8ejbpZZ+r5Jen+rxvTCP/1YX5Vu/IbI90euX/uzf4/orbpgVnz9L3/fLLVs+S77dmwBPmci3aWQVx6bmOTg1wwMHj6MFieq3EldJEIr40+PEwmlaizNMTp9kcrbFxMQMbT+k2ZlFC0PqbomFZotYLlzds649P+2h6xlDhktJs3FijdiSDq6UtWtXsLUyzMuvuoKLtlxCHubsGlqF7edKvBO6ZMOqsq66konmAqnj89pffAOubfKrP/IaLHeAH7r8Sn7tNT/IZbt3sGl0jF5kcN0zrqLtW5QrJY4G07SCLutWbKCulfHyCo6XMtVqMrr1chVFvvfOffx/7L0HmCRXee/9q1ydJ8/szua80irngAIIBRBBZGRjssGAjTHJNsYBGxv74gsYTDAZE0UUQSCUEMp5pd2VNuednDp35e95z6h42v3NSsJXF+PrffeZZ2e6K5w6daq6z7/+wW81aVUNylM1piarGDkN2zZ51YWXcd0tP+fWO2/h/FUruPEXD7NndJxMxmV5z2L27rsPrIQpv0xUF5aNTk5c+sVbrCI0OQhnI/r7+gmjmD9/7dVo9ZhcVqenYPPcE0/mDa9+JYNdXXz7z96m1rfyNlZLGFASTCCG+hGxF/Lgri3s2bWXVz/j2Rx3ylnc/ND9vOmv/4RsT0YBIv/6J3/JTTfcxVwgPooxXivg7z7xEcR6z3NibEcjyvTRmvbwvZA1qwWGSZTvnGmZCgAQ8E4qyoQMLxrglN85TbEAo9mEuBaidem4y20VFiAuXsWeAh9+71uYSuqUMwE9BQEBYpYMLGXfoRpfvPEGzEyOmWSWK177UjZmHbq6upX/WBxE9PUN8diu/Vz1uhfysQ/+Gydt2sjPPvstXnjRefT3dHHb6F4V8HLFuWfytpe/jpe95Eq8ssdFz38lQ6U8Dz+2m0VDJfqMHvL9ORYv76dan2NuxyyZoEAmSXhsx8O4OZfu/hybD+9lzZrl3HLfER569FF8LeakE9eQ6yty2fnHY1k21WbAuoFevvL5r7N20WL+5j1vxNRLfPZrd9DXrTO0qBfXCrhy/TkUjYBTFi9i9Qnr6Mo7bFp2LgcfOczqNRv5xb07qFUbVJsN+kt9HKnMEZsGw/nl+EbMCcevwdBDVqxYgeMWWT88TDMJWdpTZLHey47RGzk4Nc2RsSYvPOEy6q0WOa1FrmRRLLoU8g7btj/ES595KR/4wN8xK0ETrk3OtPCzNlsfvJW7RvbR11dieV+eIIz44Hv/kKXD4uWl4ftVFq8b5NIrLuZHm++gUW0xVOpm+8gUhdAmb1uKZSQ+Ye/5kzexed9O9o5uZ+Pi5TSnfd70opfQ17eUl/zlBynZXSwZHuaMTSeoJM31KzeQdGUkhFYBHQImS6BPEkQkka/Gq8gPhaWrxxIKMc8YlbAFOd+SMmvp86nUlmljWPPpzeIiJ5JSzexS0vPEiqn5EV7oYalUUw/XTGjWPSUZFoaXEHzjuK5YgkZQxzcKgl6ThAaeIWM5puV7JLkE2wiwDQdXtwlMU8l4G4EheA/1WoNWYBE1dAxNADtH9almWzj5jJIJh3o3kWtST4TlZpG0IuxYUxJTwy2SODb57gZ6vaHYd15oUxG5rBYSYSsrAsuVxFn1jAA/Ft+2BCPjoEcVGuUEW/MVmyqX0yl2d1NPugnsAfxYw5eHB7FGGCfqGnNtSSDWCb0EV9iBsYUuDEUBoIIGSTjPXnQLQo3MEYa2kv4Kw1NA2JpSKs+nvzox5I2WOk9eWQJ+EpJMUYWXmF5LuH4q3VWCGETmKclNTklDz5nU1fYkSblJq9kiYyckcQXHbuHqAuyKtNhA10N0O6+8/ypVnzDw0DUHT+TY4tFKCy1uSmwK1apGq1LHNoX5mODFGZIwUB+KwWyZ0HQV21BYxKHmomnCjI6wMkVq5XnQq1Et4xRLhBlJdW6RdWM0y8ILGnJbF74kZh6sbI64kRCIPUE5IJvTiSINXT43WgIeu0R9GbxGTCQMSWyCWIBnlyyjCozE7qanK4cmjEuzj8B28TMFSl1ZqlXQTQGGfbWMYxs4dkyzPifpK7TmxggSm0Zj3vLCSCxyjqmk9fl8nqLj4wrYmu1lcQlKeZNKnMFxE/w4xqtVoWtAJWwXrCaJ16A5PkXWaWHmbJUALic4XwzJWCILFsa2QSj3fk/HK8+QL+TpGZYArCaGm2XqwGMcGZslQ44Rv0J1uoGW6OydnGJ4+RKaETy6dxsf+udPcf7Jp5HJ97B75yF2H5niwI7tTE7Vnq6vL8fqWP23qvd96K7/wLBqB11S0K4dkGtnKKWgQypJlVoIgJFJSAqwdEolO5cXYEkYUqn0tnObKRCTyj7bAbN0ctMOQsr+RK57NMBPwDxJH5TtpL+n66ey2/RH3k9/76z0NWlfZ5rhQu1KWXqpR9LRmIYSLtIO7KWgZvvyIuGV9qfy6U7pbSfok7Ig022my3QCkr9ihLQBrel5Vq8/noLcDr51HkenyXu6vfS4O6vTd+4/SFuPArSlx9Q+TtpZdu3rL+S/177f9v0rVuA/f/g/rNO+/07J20LS3U5Py/R66uyntB+FdZO+17m9dsAy3W96PgQ0aAcLFzrG/w71PwE8Olb/79Ub2ph5KXMufe2psPb+swxL+WxNGckL3fMWesjUziD+deS6T1u67g03fJ8Dc2XlMScT11gzWD4wxMHRwwwV+5itTDI1VVaG+SQGs+VpCt0FjluylB/fcSdLB3sw7QzDg3nu2LyVliQ0Fm1qs03sUCNbMFW4hK5rDPZ0s/PwIQp9RT7/j1/jG1/6CM84YQOP7hvl49/5lmIfLB7sRzNN9h84wqbly3jdCy7lo9/+CbONWQJT4+ShZRS7+5icrrLv4E5ecME53PzQFo5MTWNaWZb19HDOOSsJpg1+evMDzIRznH/+mex6bAdxtoRRa9Fd0hhvzNGIEwbdPP54i7VnDDOxp4ZEJu5tHkDXdBYVMkzVGgzluzmwv8yy5YsZKIYcGQupzk6jOQ6TM3Nkluap7a8qGa4tAQbiOebqDOX6Of/M07jvrnv5q3f+OaVCwqe/+BXe/PZ/4DVvfTlHGnOYTf1xj7yEzLCLNx6QZCCci5CATTNjYWPSnbV5wbmX87lvfY9mHDDYlSFTyBFqhmJTygRc5Gw9AyXmJhrEwpiKhWxmExDhSCJob4aZUWHyiDudwhJQLvnhfCKwvCjhA/JLMW9RqYonopA6NawB8cLS8A766jhlOWEpJb5EWkpSpsioE97+6jfSsqe455aHWLF8JbfcdxeVcoNnP/MiJscEKB5n5aqVHN67nzmvyv96z5s5NKJz293XsufQBK9+zpX093Wzf+wgjm8o8PHSF72YH33zGj594034s3XOv/hEVvUcx7bHHmRfa5zE0MnEMOQsZtfIIVzTZlgSasXUvuUzXOgj7oYHtu9iff8Qdd1nbGSKlUsX09W1mLu338+iXDd2y+LsF1/C5AMPqiSFI7UaNTH0b0a4VoQmwRB2TK5QomlEDNmDzOhTPHvTWdy/ZQd7DkwwrU3yqsuvZutj29i85VEFag/0dzM+PknLb1K0c1hulnxR4/DkDO9+3dv55U9uYlf9IL12jjPXruNQZY7JuQlyxSz3PLhHAYLHrVvL8OAADzyylR5nCQcr++lbVODZJ72c+swO7tq/mWV9fWwaXsRoVedNf/RebvrSx2iEBl1LevjBTbdwwYkncN2Dd5M3C5x80lqGl64jmGwydmQPX73rFjatXsHwUB/jR8bJJFkOzU0w06hQq7Z40TPPIZtZzGtfeyXXf//7/Pvte8gL07dgKk/OA+UZFg/1cP/2R3nxORdz++ERLly7jJseGVGhC+KLJte3eNZJMoRIvOUWJqJPGfuJBAFEIu3VBOFCtwPFQtKFsdSKFBBiStBCEmEnPl5gkckICG4TWpKmKrJ1E9sRKDAkaElKb0BiOnixhRHWQCWS+pgiGW3qCpiyHAiaPlrGVv6SjmtTr0WYtjDFJOjDnPeyiwNspwtdGFO1ALvLUgxZAYgcLUOY+Pi6Q7MswFmC4Sc09QLZaI5Eoku9RIVGRC3JiK3T1PJEQZNSvoBfbWFmdFpJFks89MKYTE7D81rEoU0YRVjZUMks/dhWoSSSoivyVz2MVJBPLPcQAcvEs04YiUZI4lsKqIsDHwILx0zwJaFXj9U+MzkTPxIvPHmYE6l7gBDZtIyD6TVp1psUszaxAGbCeRPgzbDQ4lA9zGnVWiqBVs5jU0DNQg9UZ2jpBmYofS8S7RBDL+A3PeWvmu2W+wUkjQhPs8gYTTy9G82rYLh5kkjCM3QVGmKUupW/XrMpoR2SXeITCvgbeMS2JB3LCdOJMXECH18zsWxh7FVwRLJri0y/iZmVFOYqtpEQehZhzkFc/shaBJWmArSF1SdjzkhyGE4W026KJSozlYhCzgErwmv5uI5PHLjUDJuchHhUhVUnrNQQW4BlV5iEEbGAtOgYsU/DLGHGs/KhjS+fhnLuWj65rhwmDRXIUpuo4XYVaNZjdc+PKpPqesnlbHzNJfSbaJ6PbsmN1iTj+jQih2xvltmZJhliNT4a5SpGdz9ZI1BWC1YmoF6VtGd5/OOTiyPqpk1GAEUrolqJyJayVBo6tmUrANa0CgI7Kzl1vssh8EXv3uA1JyzlrZ/6JqI+vuy887n74Yc5fs0K5dH3yP6dHNe3lEJ3L6PTEyrcpa/QQ7En4d77D2B0GSzqzmM7fYyPHeDzn/vu0/H15Vgdq/+WKbrq/8dZS2kwQsrqk8nDQvLBdhChPQ20Myk0ncQIAJUuIyBXO4gkQJyAIUeTULan6XbKjNpBj3ZWXyeQIgy79krBuHZfwIXCLRbaXrqtFNyT4IzUq7BzGwvVE733ZMsuJNFdqDqTdNsTiDtrIelWOh4EQGpPk5UJ4kLb6hwbT2TufrQ2LRT00blOZ6Xpvp2pv51puWlbOiXAC7Vhof08UfJvuz/fr1iTHUnDv5LXLiDfbn//qSYPL3R+OpdP5Xry/tMl1TxWx+pYzdfRrisB9n4dJqAwWH8dgDuV90stlJr7RMngAgy231ueqlft0wbyfeqrX6C7lOXgvkP0DIiczCYIMjT9KuOH97N8uJ/pyUlMx+DQxAgrVq5kZnSKTUuGuXPXbgJ8apUmntD+MMlnTBrVupKvtloxXXn5cj+kvOT6e3q4e+tD/PCr13Fg58/55Y0P8+CuXUyoMAkIG3USQ5IBPV714ufzxe9ez5EjU/QszjOc7ye2PaY8j/VdK7hv1xY02+DU1UPsn5zh+IGNLO3J8Z27bkez8mpC+o9/+Gb+4kufJm5oLC31cqg2Tb+VZ39lkovOPYVtj+5RzJmNxUG2TI5w3glrefDRUZYOF2jVmjx2ZJTvf/WnkOziL//5M+x/9CCJZeHqISO1sgLLJLV2TWEdj+7cKjibAsKElfSe1/0R//6zf+fLn7iGI9t/zjdvuJUVq1dzwcZNHNoxyl9+6TOKqRfUI8W4S4TiJEwlQdoEQPMTxaQr5jK8+rJn8Kmf34juQb7LZXa0xqvOPIkfj+2ByYSZoI4m9JtEl1XnwToxojI1dGEThbHy4avUQ7SMRrHLYWamjp6R5EqILChZWcrTNSJNlldUFpWmq2XFt0uSMmUynagUZmVyZRsK6Et82WFCHMeYps7AogEVBiLY4UVnncZ3brqZrGlzwoaN9OctjKxFTIb7H3mEtUuW8/DuzfzRy1/K966/i9ip8apnv4jZpoXLQYYGF+F5CXds3sO9997HknVL0BKTK595KdffeAvbJ7ZT7M0xO91karzCujUribwWBbOHrGHRM+By0qnHccsd9zPrVTl9w0kKQHrNG9/JB/7qT6Ggc96idfzkF7dQNlsUzaJKcr307PPYvmcHd+zcQrPZoljKUsz2sG7ZILfcu5k3/M7z2bt7ksWDPeybPKB81k4c3kCchEw0ZqnXG+zcNcWR2b1cfuH53H/vVi487TQaXp07tzyiGGalkknW7UPIZa6vsWNshA3LFnPGiWdzySUvZOu1v+DnU7dyyy33snTFgDgpcuqSDSStFvvLh1g6MMCiTaeyfKbJp2+7gSUFi321CaKaTm93gf/9T3/Pg/c8wPe+/33+7sNf4LVvvopxr8Jpq45n96HDVGcbyr/r6/9yDZ/51D8hIrufbLkbmony3Hrmmadz5PA4leok6wZWcdqZa7jsshdw48+u4/M/vYt//Nv38bmPf5hqpUVGYlVtnemGz3CpyB2PbmHV4GLWdHVx+eXP4O+/8UssQ7z4JLzBwNQjtMQgkjTbJFLhGQIoCIUvDISRpZHE2uPjSvwkxZ9TwEAfS0vwonlgyUwCdHOeOeUWM4TlugqfyRSLhMJWS3QsPaSVOBi+JOOaWImPY0GlLl5u8/ts+CYlp4yXlOSSJtIiBTJJAITmdNNohWSyCQjoZmRxnWiezaUntATckvZ5PqFdIombKpyiIddapEu3KLahWAqI16E5XSayM8zUPXqyGlUtT1Z87VydWrWJoeUw4hDLCmlFGvmsRUP6oOUTxll0kaAaDSpzwk7TMFVirUiFa8SWiyEy/MRSARNetUE+6xJL38aGSnE2i31K2imgpG3mCW0bs1Wl3jQo9pgEnk8szn95m6BWFkc3JYe1MjaWaeI3fUTXL4m4EvBQrSZkJGnWcbGTaB6EjJtK5mtl8uiaR6zr5Ap5KrUmttwnHI2WSI+dENM0aEYOyUxVsTatjE69oqHbIqEtYNtNwoZEJ4t/oqdCKwxbp1mNyedtEvkECjJIfojjiuViU4HIEjqS1wJahkEYZsgXfapTIWYhIQ7kIUwWwy/Tkr7VHDQjVozB0LaIyj75vK5SfhH2qcibywnZLofYk3PbQs9rOJpPtligNt3A9zzc7iKRF9P0QnIFE0MzqTcDxX42kjqZnEszLlAq6GjVUWbDfmy9pe4fsSfBVA2MQkkxLk2tRWRlcc2YOGgJOZIoU8DVEpoND9PwsewuKrUGooLOOvMy77Al4SIejt2FpuTgAfmeLF65hWY6aN4Mkd0FjkOpx2DuyAz5vn4qDUlXLqDHZRpGjqwwK4smzxpazKev+SYfe+tLWX/ccp71+x/m3z/+Cb70xS/ScjI0ZyfZc2Sc4aEu5SlYq4fKiuO4k48nH8LkjgPUiyEr+ley69AI+byjPAk/+YmvPB1fX47VsfqtrnaW2X/wDXsckBCgRMC09kqX6ZwgpOun4FoK2nQCK1LCOEq99VJgpR2wS8GdFOzrBDgWAl46WV3tQGF7yb6vfsMfq2OXCU17H8hxp6DKUwHd0uMQkC8F9Z4q6JYyFdMJXcq6eyoAnoCICzEIn6jat90Obh1tAtg5OUzHRLssN2W2tQNNKeiXVnufPBEo11mdoFj7a2nb28Gvo01mFwLTFlq2HWhsb2dn+9rbkDIQn6z9ndvsfC/tm3bpbhpE0n686etHO8ajAXwLHbes83QHOfyf1q8LbvxPqGOA7LE6WqUPyqRSJu8T3eeO9gCivX7jIN8nv/xpZU4+NTOJbjmsWbmKiclx5io1eh2TVtTi4Pi4kgq5hsNcZYbzTj2dHfu3MzFT4ZMf+TLvfO87GDtykBYy8YxZNtTL2MgsfbkSDSNm48blbH54F81Knb9+2xv52Je/xJc/+wPe/2d/yN/+w8e5+rVXsWjJMlYtyjI6MUFlNmRytsmyJYMS5MvuffsUuNWX76U8VyHWLE5Zu4ob77+fDcuW8ld/9T5e8rY3kidLvjtHpunR1T/IpnWLuf7OeyjPBkrCJmbjwl7btGgJTdthx+7tyPy8r9TN4KrFNKfnSCoz7NI83veyl/Dgnv3kAocb7tjM0vVDjOyZ4/iNQxiRzoVXvJDrf/w9th48yOTEFHpOvJxQvlzZxTnOXLaB4SW9vPS5V3PVm16j+jpuRJRyGcqtFlpW/K4SFWSRNCOc5Q7NkQBTwjL8mGXLeimaBf7y91/D773nbwm0CKfH4tSV69m85TFaUYynCQNQRws0xcYR2ZskSJYsg5al0WpEdA/lmBmvKk+9UIzlHZEiQiQm+jKEvESlFyfC4IkEtAO35NBqeZhFk3AmRCsYyrcqnhHQRVgvytcfwzIUA0hSVF/z6lfw0x//nIHhEnOHx+jq6Wf50CLu2PoQa49bw+iOEa585rM5cPAwnuHzZ+/9EPf84JP84I77eXD/frq1En7Bw45dvvnF7/Gdb/wrL3nl7wBdbLn5Gv71h99noKsXzfd48akn8g/X3sallz+De+++m+HSUmbGRpiM51icKaHrJsv6etk6PoqbL7B+UYGbd+ykqPdy0tAyMn0DmOERvn/bQ7zsOS/j1od+QY/jMDIywdK1S7ngoou5/c7rmRtrUOoqEFRbnH7qiRypVHlg8xYlW92yew/nXnEe1177Y0yJINAiTlm3jqimccGzzuIn997M+v5V3HjnXZx19mncdvf9uH6kwkRiS+cZG09kZOdeVh23Fq/S4KHyfoZMh2UDw2jNJgem65z77LPZvmUbmQGH0ckKQ/ksWstRgMKq3iX88sAWeqwMw0Pd1CcriskUJT5Lh7ro7VvKl753LRtKJ1EJxpiyqpTrZfqNfi49/Squ2/xNxZy7ZMUajIFholaV6x99iFqlQdESRpxLX3cv51x5Or93xeu4+o0vU6zOF194OXfvPsRK02dXbYaZsSabVi5l2/49eH5MT87l5FPP4qf33EQRl/XLNnD1K5/DX37uu2itx4Nasga68mYTOav4jAlzTkA9Hd8Txp9EnTjYWkgQChCH8tUThFlCKSxbAhfE407Hjg1CAbhsBzvwaRkWjiNhDQGWbilvzdgXv7RYSZolFVdSdrPZLF6zpQIjLEPDtSp4SQbHMGh6VQXmGSK594XhZaEhTGcdW5wyRU+cRIR+gmkXFavOiBoETh4rbGG4Gi1fQg8iya/AD2M0LUNg1RS7OTKEFRdhxR6+lUVrNPEQD8BYgbhmRjS7kiwbKR87r9zEyERgZlXabRg7RF4Txwxpxi56EuK6woQMMUyDlh/gmg5RUEbX7XlWmTUvkxZAyfFmCIw8bldCUoPQzpDIfcRvYBhZda8X1Mxv1tTDgaYK5TEU6JiT1N6gpRK1ZTHDSjAMGz1uEWoOjXoTKxfRKs8nGMtDG0kKdnOW2n8o9yorBPEFdfI4uqf8F22rRathKd9NidYVcFeSmd28SLpFdhwQSzCLFaFnxTPQp1GXJOYSTtwgEO84asTVkNIiF6/lQlRGvCMM08Ev11VwiCnptEYdJ8lTaRoEkYfpJtQaEVnXIqt5VHwJJylga3UaPtiuJYTBeVlwLIOxjl/1VBiLjJFExX6IoDwQfFHZPZi6oaTBpa4IT+bwZkJUadAyDYoZV4VoGKFHxrVVeI48NxHJayLS3Wp9XjLctwgrrM1bSjRDinmTbJfLXCOvJNCxeO4lFkbQJHJydOk1GlFElGSJvDlcTWcudsn3F1VgSaVSxhGZunwIugmZKFAAsqRYxxmXrNVS/oqLXJfnru/iTz7zXfVAJ7Hmr1P5wvHs887ivm1bWZbvZcv4YYqmy/OeeRaPHDrEUGwzEtRozjV49rlnMzYxyx+/7x95+SuupHtRFi806KaP2eYhvvi5p9cI+Vgdq9+mEmAr/YIvIEbKzjsaeHY0qV87oNf5eqfnWGf6aKcXWSdgI9XJDBPgrtPP7Wi1kPRIwLHOPpB6IsbdQn+n7ZQJkaQYCtgpQN+vA7z9Ouy9znXa/5c+6QxIaa+0Dxditgkj8miy0vY+FAmw7KMTzJP/BeRsB4e3TZ31/5eWto0h8aRrP4cLsfWOxs78depowFjaD0dL0u28Dp6MTbhQHz7RNZO2TQBeYfikYLf83cnI6WRKLnQ87e1LWXoL9cPRmInHGH3//eoYGPo/97w/5/F7V2d1PixLXztatT/Qar+HPVWQ72nz5Ms5Nlknw1B/H7Vag9H9B6lWypRrMxyaGmNRbw8FTKrNOn6rQb7QzT2bt9Lb08slJ5/DH//xq5isjpDrMunKWwwX+yhPVujr6WbDiiW4SYw3UeaZZ5/DxWeczkRrHN0w+NQ//Rm2a/D8q5/DUE83h3cepCt0qMz4nLTuFLADRsePsP/ICK5joYcZvLiOkXUZGupjy/4dXLBuFdWgyRve8TZW9nTzgmeeyJJSjmk0tuzcydR4wODAClYtW41bLOC6BRpBiwsGbR6452HcjMGm4zfyrDOOw6357Jo6yEc/91k++MoXMpjL87ZXP4/7dmxnYnaSB+/fjl2s8ejofu4b2cW3f/JNhvoXMduYwTB0Lj7jRJycq0IXju8eYpYav9i8mVf88ZsUUy9rWRTyWU696DTcoktUi3nhuRcoJlzsQmvEV3Ku0A8ZyheZma6xe/chPnTN12gpbz6NNzzjBZxy9hW87pJnKq8z8TVTFmHCsBOmXQJD3VlaJUmljNTEvpGXDAQdQ9fQHUlUhLxrC0kJLdAfT82VGWyi/Lg0B0JJ93UMonKsQANhuDAToRky2ddVgIIu8mCRCApVSUv44je/wYQ/ze69Y4zVAkZmZlizYiWvfM6z6HMKjJdnKVdmeOjQYwycPMR3vvk5rrnzPuZE7uw62DkHv+Fz8enref2bX8tLXvZC/PoUf/Oud/CxL/+AfaNj7Bg9zESlymd+eifPv/gMvnXtD9m0ci17Du/gGVddxgknnc5wbhH7KzPcsfsAhq/TqM0wNhqzITtIaSBPy5vFcQMe2jfJkjXLyS/Jo9FUqZEr1y5lZmSOmT3TnLL+CvoGC3TFJouWDPDIjl3ccd99KmRFPOqGl/WRaQU4gxn0LvFR1Dl0ZJzx2gx333sfGwZXsPX+R3GAHY/s47jlA7h9JU7dtIpNw0NUq3PowyX0xhzNksGqUoko4ypz/8jNUOrr5o4b7mKo1MfYoxUO7xmjPhUyNjPFA0e288Ntt7EsVyRTMikUu6nrIfvmDhNbAXdu24ebL9Ldl2PlernIYWVPlnf+zlu54uzzmA4O0nB89Njg+oP76SoVWL96EZes2ajOazHXx+mnbCJKPL7zuR/x3a98lbe84s383pW/R1f3AAdGZygOLGJJ9yI2HLccgww9Pd0qmVVdq57PWatO5uKzzgS9gWX0K8BHwDK5VsT7LNLAFAlhIKw1h0SzlDRWZLKGgEORTyy0VFfyZMHI5jEs8eh73M9PWFp1j1CThAcJx/BpmiaWpaMpGSgYzrwaXdKdEZlj5OMkLhnHJfEEIPfRjAZRWKUe5xBUSTz9TCOjwL1YlhHpqxUTNaskVkQcSRK1AwIOWgIOBrTCWAV/JJGFZ+q0WuKBFylgJhY5bd4iCFtYEtDhW+DXsIpFmoFJMlfFsn3FZLSE5djVhWXnsDMJtmPSFIZ0ScCvx2XDnsj3feU1Kaw3x7TUoWlCOtNDEsXEDdENDy3TowD5pJBBrA01J8FK6lj5LjTLVJ6hvpZRbEcBlgSEixNf+R36URMj0Wg1JTRCJwgCshIgocW0NFt55cWSBivbEbDIEwAxUjJNCdVILBPDNAkCh1gx2iRR3FLbD5qCYYpmNyCU+xCJ6gsB2+ychS5hHq0Ixwnxa7EKUDFce15+bZQIm6ZK3jWzveQc8fRDsfJ0T6O0OM/MiIfuCCgobTMwWnPKhiKrONbQDBzqxPPgaN5AczN0i8xZM2kmkuybxxbWYphT8mTbyjBXDQhbTTVm5Maa6XaJEgtfHpwYEuAR4MWGYm4KCu1FIdmSiae7OFGDqC42DF10ORmVUOyGdSU7btVqBHUfR/pSxrn4lRZtMsU8UXWGSG7q2SyZ7jy+lqdWt0jECzf0cTMukSlp7bECaFtIqrVF0BAg2CawTXTNwmpV8WYnyJgBuQIYwspMfLT+YYpDgxRyIYNdEcO5POPbHuTm22/mHf/2fbScIQ4dKgDGdAQs1bnp/vvxXIMDrSn+4PkvY/26EygUF1GySooduG7JOk4/9VQaJOSKvXz8f/05elajWQ8ozzQYGnDVdXGsjtX/FFmufLk/mmSzE1xoBxVSkGQhMENAofZlZbk06VR5773zXb/y9pNJRntARAo6dAIZsryAQ+1MMllWflJ/QPlJDcfTku1Ie1KAT3wHpQ8EbJJqZ07Jcp2y087jl79lIiT76fTee6JJVbr9J6pOSfHRvPnagzaeCOBrP4+pt2E7KNQ+YVzI3y71mUsBPnUe2lloHQEq8vdCk1DZl/S3vJ62t70dabhLe18t9PfREioXSvxt9ypM2yfVCch1BsRIdban8+/24+pM1V3IW7Kzb2V/AgwLozS9DlJwLh0j7am57Qm5nb6G8l6a3LxQ/f9k1x2MwmP136+OsR3/Z7L2bnn8Hv5k98CnEqTRzvhL72G/jiff0wbyTc3MMVqZpNKssbgnT406+AmtcoWebJEHtzxIEhm4LVcBRV59hryT59Hte+jKhMzRIm9pBFFIq+Fh4dNd6OPll1/GCcetpy+f467du7j57l9w147NfPnz12ImCX2Ln8HSoXW4Vl4lEE5W5rh+9w4mag227dxCqIWU9YDpZo3xZo2puWke3T/GaHmWR3fumpeVDSylt2cVlbrPwOAqfnHnCJMNi66sS87K8NZ3vh89rGG4PplmzFxrkg3LVnFfXccuGGoid+GJayg3TP7yHz7B1edfwh0//zlbd82qye1PfngvkR7xiiufxauueAYztZDluWEG7S62PvgoQ13iy+SQ7crwywe2ksvobFw2zObZgzx6aA/jtTlaQUBQjqjUm5ALuflnd9JqtdBdje/f/gsFqmniQaVpnLRqhWLmjbUqeFpEIw64777tPOukM7F6EhIr4bghi0/cfAMbT1w1H5qh6azs7lUTRAlybDXA9XQSiQANE/xDVdYskfCPRHmf6VpCue6pRE1xRBOWlEjFlM5XElBNDV8kZuKermsKrIgbIYEEbgQCHCboOQ1nUFbUMUSWVjRw+ixMx1TBwUES4CU+e47s5O5tezj7WS/ixKWLGG3O0ppssmfzIW69+2bl+Td0wjLWLFnCnF6nUfa4feujvPm5G/jj9/wV37nmJ0z4o2xYvUaBT26SZ9Fgkelghh/+7A7OXL+WiZkZBku9fPZbX+bh/Q+yd2aUjavX0Leoi+0zR9g/NsGUOU0jCTl0eA/NOGJ0bIqevItd87juhz+k2YzYceQIYWhgd+e4/p5buf/B60jmLOZ0m3u37sQ0QtxCEUFsT1q+lvWrlnLr7fcoaV//khLL+nsYn51TTM4ly5dQqzdZcfxy1ixaSU/WxfFgrlGmUg6UF59IBo0o5uHqGFYz5shkhcnxCcoTh4kdg+WDPUrquHN0D8P9ReIwwMqYxCLba1j0mCVGW1X6c11YTRszdlmc78czNb7y+e9ypD7OB9/0Wp717HMoUybSXf7te1/lO3tv5u7997Jm6SJ1fo0w5qvX/4THDk0yMV3hJeeez8plPeQNi0U9g6xeuZbPf/fbfOxzn+RL3/06Dx0a53cuPpdaEqkEVH+mRugk9PQP0lvsUvLNx3bvY8uhrezfe4iDh0Z52/veJpgYoSbhAQlhM0GLBNoRQE+GoqdSdy0jUn50kvIsYHIUGWgtkaIn6GGorldHkl4NcC3IOLJ+FssWCbiNi45pm0QSHCTgntekLl54SYAlARy6g573sY1QVMkYVo4kclRSqSFhEo0EO1ukJfLhfDexravgBGGfIem3AmqbDrruKTBH00o0ynJCwnkWr0g+NZucEyrGqTBmW15Eq6qjZS2ipomdTWj5GeK5MtmigZWV2FxJoPUIM3n8mlz74NVjfMVG1BXAJ+wsUxhX8oAgCbHl/lA35hlkUYRfa5C3XTwvVimsmlkiEumqJUEqGWJlM+CgRRliYQAbJqYAhXqLeiXCUQ8BXHWfiKOIbCIJwwaWY6LlcsrBUzdMclmbQkZc8FrolkVQDZXPYFak+EEg+CuETSzNIZSkXrOhrB5Cv4ZhSpKThS0hQ1qkHiB4mjiOghPUMd08WtDCNnwyZkuxCz0JXQklpTkh1G30qImdVIkF5MIn8ee9EJM4IFH4aZ1ij01Y8+fZoUGLluniCHM6n8U2TJV8HIYhVqZJKCEtc2X82FWgpR/6OMLOtGJivYHm6kzP1XGsDPmsR/i4NYIeBdiRR0+3S2AZKqRFGIt2zkZrNRXLzo8CgmoNXzwhHQvHaAC+AkRF+uwlCYFVVH61EsCim4ZKh27KfcgOSNwCmngJJh62hIm0KjSbiQKC41aNWMZY0KRp9dIQT0UjpOFJiBKUTJ+MW1K+gLK8W8himC6JbWM4GmuGcgza0wx1N3j7xetYZs3x0xt+zuRsAwkrlvMdVSLMgkNBgj2QBHm5diNaU3X6snle9vq3MTAI1//iJm7ftpnHdh7hlS+8jKzlsnnzY8xWRpisNjh7/amUFg2wcskgU0mLRYsGnq6vL8fqWP1WlYBb7QylFPTpTEJNS5ZNU20701nbAxo601TbmVqpDLGdQSRsr/b3BfBIJyXtYRHty3SWbE+AEflpT/tNJyyyDQH2pE3Df3Dvr44/lR+3S3ll2XYAaiF2V1qyrIB7KftR2puCJe0Szs715D3Z50Iy1vbXfp2/O6sd2BKwKP1b2H5Hq/Z04s5qD5f4lZx1AQ+5tO/TsdAJ0AogKmMiBanak5qlOiXh7fUfQjqO4l+X9vlCE9uU9bhQuEZ7tY/fFJBOj20hE/uFKgWIO4HmlDHbmbibAu7tIHX7GBGmjRyzANkLAZ9pf8v1JMsczdT/aInIqd/mf2Ui7tO17rE6Vv/d6pwnGe/p51saOvVk9Sv7iw7J7tHYurKsPMBI71m/Dlv6aQP5ZCLVY5XIZ4sYrklPYWhefuVaHJzcRxxmmGyMglFndHYK33OZLc+gRRE37NqmPOXEH6nl+VhWlu4uS/kF3fbQI3z35zcwWWuRd2y0RozdNCkWuhSLZ+vWm3jNm97Cq155FWNzdRat3cgJS5Zz2anHqVCM2YNNBvSSAnc2dg2yeGiYU4/fQC82p61YwnTos/mB+9l96GFOWLqKex68j5HKQeYq0/RLEqSV4xfXfhHP83h0516mqWFgktMMHt57kJOWriRvZbng9NNYe9oA9377U/SUcpy4drVihjSjgE/e8iMuO/NsRkdH2HzwCBlTZ8fobsVQOPfkE7n5vq2CzeELaGbqVMKQO+7fyVqni9Ur1tHf1YOZE4BgngFXmfCVVCpOEhXiMLR8MYYuAQAimU14ZM9+MqGp5Lp+xcPQNDYNLFbhFVdd9Ey6cgZ3P3S/QjAe27JPpl0M9OXZOzeNKZJbYspeg3JDjn/en0/YbLv2j2NbOoZrMbykS0mGz1y9glNWLZcIVEFf5oeUphM3YiXDVUCLi5Lfij+aeBeavZaabMeahjcTYHTrJHMBSRQRzoYqvbfe7SkD9+FSLw/uOEiuv4/rvvYVjlSa7Nl1gL6hQfZt3qUM/2eqcxx6bIQ9Bw9CXmfRsn6mphocjIvERo0v/eQHTE1WmPMm+d3nPosXXXShSmvszxWUfHumFTBZmcX3Q/J6gXe+4BUUB4Y4tHeUy88+mw0b387SoRXoIu/scshoGZYP9DI6NcPYVJ39sxOEmgBBTQpOjm37dxBVPTJFh5m5FqETsnZRhvM3rsbScmzoGaJoJiwfWM4Dm3cQaokCQ72xhkq4FJ+8qeoc4wcOc/v9DzA5PsXeuXFGZidxckNsWLyUucosJ564gopW4/yTTiKTFLjymWdw3qq1PPOk49i08gU4jYRHJ/bRO9TF3l1TjNQEHAEnyjE6N4XraJy+/GQq9TqPbjtElAtZf+IQ/d2D5MIMf/uBt1Kfq9Jycmw844U87+SL2DUxRtQtsakC4oTsH52lpgkzSldg22mnnMrlVzyPPYfH2bp/L7c9+ChHJo9ga1lK/T1kXBffyDP78H30l4pcf8ttVLw6k5PTGLUqe3dvJ3aKDHaZuJmAbGzhRR6ZQoHjVqzm6uMXkcma6MUChgraiBXzVCTk4vYoAIkXSoJsMB8MYwoGqRHbeQUcGbZDre7h6waWK6m4YtOmEbc0okQYbTGtMCCsNkl0n6AV45k9aHgEXoQhgBA+iG+Z5pIxRPprYmcMJbUOzCyxYRJK8IBpYUQ1JGEgCnzl2WaaRdWG0LGwhVSnYnBbmFm5XizlJWgG4h9Xo9oSUM6ZT2SV61uLiOsRRj7A8wIyekAraahEVR+bBjp2FqK5GSxTw255KvlXNJt2EhN4FkkoQRoNBXq6WQNPF9+2CC1oEEYSiGGqO5ywrUTqiT9FHLcImgEtb45azafSECa0Rr0qAvOmYk8K1dHJ6FjFPD35GCOUlGFDBVvE0r9RC60xQ6Ykfq0J5ekpJemMjYwKgihI6KqdUewxK5vBl/uIYSoQLNYtYtH1axqZfEElKdt5Hb/l44nloQStxHJedIzuJcSNGQWIJYGPmcvREr9HW1Jy8/itANPJEAmYlnVxdQM/iogNBz3wiJwuNNOipRl4XoTpOCo12s1a6uGG32ipYBVNq2BmDCIvoOVnsbOGShDWTF9wWiw3TyNpUp+qqjFsRSbZzHzys9wQMwWTVtNDt4qKoT3nBdheqJJ/xZOw2bJJnFh9VmQNH80uzttESKJJFBLGFpmsxnTdJduVJSpPExFSr8UqVVeB0/UaU9MyvKap04vvZ3GjJppVJMcUrWqdRsuh2ZLgkTx2OE5PIaFVqSqCpIB8Xu8SPK+K60Y06y0sLSBbkPPk4RQsEtvkzrvu58GHHubV//JVvvWLLSD2DSI/Fua56c5fXz7UAp/fvfxy9RkhwS4SsDRQKPCaP3gpM6M1/vwj71H9GTshL3rbu9V1eGh6iof2HCCgph64nbRoDXuOHOIZx5/B6KHxp+vry7E6Vr9V1SlBbAdAjsaekolICkqkIRnty8iPgCzyvgBLnaBQCujIZELYXLL88X33/GqZdvCwnR2YAmed/7dvO612sGyhiUqahHu06gS4OsE3aVfKBEyXFfDzVx6CC7AiUuDwifbTKQOWfkyZZQtV+npnom5ngrD8LYBlmsArv6cMsYVSadMk2XY2SDvo1S4tTl9fSBKWjofO7afsOZlsynlMj7Md+Ors73Q/7UnJCy3bvv2F+jYd251sv84E4XZ/yHS99uNKK21D57lt/3sh0FLa2Ontd7SE4PbzKcsJeCd919nmlIHYzuxqfz9lq7ZX5/l6KmmfvymW2TGG2rH6basn8rj8P62jjXcB9eTB10Ip5511tCCjzu113tvTSpnXR5MB/1/35PuXL/yLMt0XaVV5ssbiYo7J8jQP7ztAd8Zi09JVbBvfwcRElUCLsROT4Z7FzCQV5ppl5emUyxk8+8zTuHfLo8qIf/WKNWx/bCemMB5yWSytQW/vIKuWr+ax7Y8yU5lk/boldCe9jNXHma36OGHEntaMkp8uH+rnf3/w81z2ymcr83qRDB03OEzdaDE6Pcc5w8fhugnXPfIIRjVmcLjIKSet5J4H9zFcGuBQc4zVXcPMzE1QxafpB3iNgONXb2DXoZ1sWr8J3Qu46uLzuPO+O3nrn/4Lj267hW333EurPsiP7v8Wf/47L+U9n/46kRnhRDo9pSK2XuDyC8/k7i0P8b//6fOq/z7wvjezbu0qPnftz1UKrTDqnD4TfyJUTDopAfVkMi2+VpK8Kx5duWxGsVEsDIaKBXZVJ1nZNcT+sXFiPeZTf/tR3vKn71CsGs3SOe/E47ln73Ycw6I5KywXjWy3Q65hUtY9xcCRf7EgJ5LdITKuRFOeZIWGxfHHH8+WLY/Q09WrmITiuyVcPjWx02Dp8BBbZw5gezrN0J8H9pKEZ597Bjft2Uw8EQgJR7E7HFNj+fAgTSw2rlvKyevXsX3LY1RJyNsGldkqb3rV1Xzwk19gtjxGLu8wOV7lrLUbGB2dU+zBj/7rF3np1c/hrPUb+dl9D6ggj9+77GLJL2DJqiXc/MAjxMKMy0QMu/2UbZNGZZqR0RnsjMbIeJkeM0fPkEmtlTCUL3CkUVYsnT9+2dv4wS0/Vj5pg2vW8N2f/JSzN5xAYAmrqso5557Lww9vJUkM3GKe/QcPcfJxp7N/3zb2Hz6IVdI5cXAdFb9JtTVHtRVz/vHrKZW62Pbodnp7F3Hy8uV8455fMnJkVKWaXnjcmTh6yOZ9e1m2aSkPPriVUq/L1IEqF154Ct22zc82b6Y+1lJhIZVyXUlxu/N59k0e5tVnv4C7Dt9BNpMnlpTUUKNWniHEUmxSIWY2tYiS7ZDp72F2ZAIjDFk9tILe7l5++fCdXHruhTyyYxuvu/L5VFplvnnPbVxy2oVsvnszdxzZSiQUuDgkazi0cglrCr2M7J2hHgS86rnPI5ctsnXXdrxanSPeGAO4vPud76VSn+Td//ARVg8MoYcJg4sX89O7b2Ljhg1URqfoyRYo9nZTa5YZ6l3FvgMPMRNJ6E4PGxav48Y7b2Lj8vVMtaax+5czsXs3mcFholDANxlnwoRz5r3giBA8RXNtvLoEa8RYiYWtB0SBRqCF2E4e0/Rp+TZx2FKpsEKGTbDJGCLjbRAZeSzLJ6qF2L1ZtHpEZNhYRkAoY9+Q8I4QSzzyhHElibKtQO2n6uXIZFtEDQiFyRaGSkIchyZR3BD8XElw1dMKkbJqkZILB9UMVsnB9uYUEOXVBFUyydgShpAotqCSuQrDzGsJ5VU9UEjEn80I8etCobLIlCQVWicRULHqKeaVWF+K7admJgSeuL8Z6FEFQ5hwlgTiNAnI4tciJct1MhphTUNzhI1rkbVbNJshmlsi8Oq4VqJAaie08QSEM3waiYsbiyS3KbAbYaSpBF9T/N+aGk5GQkQ0Bf5oIkM2Miq4wtRCdY8KBYwW37tMllZN/N8MYiMmYzh4gYcp/oKBhP1IGEag+l+YxblShqYnsmA5t1lCv65YkEGYEIoEVrTXQpiUe1UkfnkeQVzECmOVFmyFPloxo5J5dcfBr4SYRkLD9yhKYq9IqCseeZGNxlmCoExWZMXiT4qOFwi4GWGackpjwmieNZrk84oNmUh6crmK25slbETYGZEvh2QyRVqeyJobJHaWoJzgGQaOG2PIfdvIElWn8TQXx9GwDfHnk3aGyjs2lCTiWFf3jdDqJYp8up2IOhlMI6IViTS3jqnHJCJ99hLyegU9Yyt/QuXzGIY4fp3AsRQAqvf3Y5fLNCVwRLPo7u2mVZtW/bR+eZ6ak+dPzj2Jl7znr9E1g0SeOunzbG6VzGxonHHlydzzo4eULF7A5tUnrmLfzn2KNT5Y6OLj//SPvO3df8IFJ6yj7Glcf/e96Bm5NhIMS+OUoVU8fGgfS7r7Gegv0eX2cd/ORzhtw0b2HN7NupXr+PP3/6+n4+vLsTpWv3Usvs5wi3YwoxM8aw8jkEq9ezqBhva023bPsXSC1L7PTqAxBVcWCnBIqz2AQKRI7QykTk+htFJvoXZw76n44C0UUNEedHG0RNb0WNKS438iBobsRwDTp+KvJRO+zna3J8F2blfqiTzhOoMxFkqITZNY283d2z3tOr312tdtb1/7+Hky78Yn8oPs9H882jZTX8AUbF3o2NJznL4nx9Iue34qyZTtbWtP9E0BvoX6vz3Qpt38fqFKz6uMd7Xc49dDum77NSHjMw2QeTL/ws4+TcHW/yzA1jl+f90k0WN1rP471FMZ12/4T4799Bpq9+RcqOThSDuruPPzLP1skgc6cm9eiJH+ZH6nv3FPPs/zGanW2X9whO7eDHvrs8pbqFvYTLUyd+x4mMMTZeUxtGHtKk5YvkRNAId7ugkrIb1dWfryPfzghruUd5OTy3JobIy63sLqEr8zmG60WNU/wP0P38VoeUax146MTHHvzodZ0buK5mzEVN3HnwlYsnYNcxMtvnftp+jv72JoqIdlmT4+8tEvsHh4KX495Ig3zmMH9quQiudfeBYb1q/lvl0H6evvJnHqyktq9ZKlHKrMcebqjXzmD19OvstmVNKC+xZx2vLlnHncOnZPzPGAsMjq9+CUp3jp615HtjDONZ/+oJKAiRxRetrXYtYsHWTR4hzX/fIG4qTG6177At7/3t/n0SMjfP6WnyuA4tzjNqqgEHNaGCrCVpJAC5EQalx+5mmKCXPSihWskgAJKyGrOwSSRtgIsBOb3YdGcGMTS7P4+jWf5x/+5jWsXDfAhSecwNTIOGbLIAkMbMPm5FOPw/Itmm6iEkWlo3sLBcxAo1dCC0QEJ2yZlsisIh5++GFMUzyqfAxJ3dWF6SdMnVhN9vbvP4IzI2BETCRG+yVh82jcvPMhonpEktWJWhH5AZeugQJ7x6YpazPccve9fOxbX+fm3Y/w8L2P8Irnvhjdi7n+9ls4bljYTzp63IXfTLh73zYmkhkaepW3vuc1SuZ7w5bNrF3Uy0df/0d868bbufne+7j9rvvozjnsGznMyas3ccfeHezbPcre8VEytiSHigzQYtnqbj7+se9gORZ7xytMzzSx7V5m6js5JLJXL6bHb6K5BhFNtu7bx3vf+vfUxiZYvnwNJw0NMDjYxbKBHrbsu59Dhw9RzHfTqIT0rOzjwnOPw00s+s0havUWc6MzVMvCBgoxl/bg6oJGadgJbFi9iFu3baHU00V3UmDpwBD5hsvzzjqf2+7cSjbXi1cNMPIWmwaXUcgWmGnWyOouL33J8/jRY7dyycVnMDVdpzUdsvPgQexcPz3ZPIVsL/vHxxkwepmdbjCx/QiZ2GKkWuWhscf4/vX76DYLrFm5iPH6DOsveCF//7Wvsq57LffdcS937t6GbtlsHOpiTfcgnhYSTQccnKtSiTwlBz00eoiRw4cpdps8VHmMatnj/NNO5tDkLh554FEw82zbfoCHd+8n62qcsWE9k+VZMrpN00iYnpkmCSJ+fOfPMS2HRllp/pjYN8VzLr6EycoIdmRjUOeKi84nL2mzkgItjD7TJG556CrEQAIkNMJ6i0zBwLKFURTTSnRCIgTxD8KIRiMmSSSNVrwsm8r3TcIxEiMkxsU0Q8JIJ5Qwi1pThR9I2qhE74hsV/ZEoBNZCUEUEzdlXZtAd9G0Fs26sLCieTahgHkCqpiRxGPMA3O1iFpDoxmaOKaO6bmUumJcFYJQpNUI50MmWgJ9BzQbEV5iEUhghh9ghCaZXEZJXm0nQPd9Mj2DyncwagmTMFQp47FjUpTE3rxDKImzEhShN3CzTQUCkpE87ggjEpBHbAASImG2NRokZoLrCJTv4zV1TEPCOFo4SUwiaa6hiS9+m6H0X4zdiEhij9h3FPgvoI5io6Ehu6oLaGlYyv8z9EICQ8cSFmEs8v8EEQ/LA4xapUo+lyFEQlUgjAN0w6bZsNR6jaglZ1IBfnbWZE5SkT0PLQmUdYNIlD1/PtQiq8VKDhw0BHGFWLOJgh7V5zghltkkTjSVSKxSe0ViWiypcWSZBeaaYjfQUDLphixHUzEPNaegLA0kSCPXK210CK2EllnAdopkM1mSprBLLXzPVwxIz3PUwyETnajp0/CbimloCKWv5eM4EniiqyCWOIxVkIrdnaGrKMeZU2EylhVh65Kq7kvQN/muAonmkHg1CmZArZJgN6bJ0sAqT9IihxYF6HFEfylCy3VTbjnobpFQIn/8FtPiHejmwcpAGOFZFpmCRa6YQAbs/m56u3TuuuVeNl//U1723r+Zz3EvSC6Jqca2sLd126BYLPHgbdvUuZfPK6NgcOjgiJIUr1myjKElA7zizW9W7OcH9x3hhgcfUCn3kuZueDEvu+wKFg8W6M13MTpXZsv+PSoYp7e7yJ69O5mseezctf/p+vpyrI7Vb0WlAIBM8GViIJP6TjCvnYHXCaCkTLwUmEiZZCnrTl5PvdnSSgG+VAbUydhL2YEpUysNGlBt6EhoTQGOFPBor3T/naxAAeVSOeQTSVLT99r9zqRSqW+6LQHt2tdJjz/dbhqeIBMx+RFgrrPat5G25amAK+3syXafufa/U3luO+PuaFLsXwVltAFm7f2XshDlHLbLQgUMS0He9klk+9hJ25JWpzS3szql3J3tlPGTTkTbt5OOn//f9h73BWyvTlC2k92XAnwpK7UTqFxoW+1AWbo/Bb51yOH/w3E+Pq7T5dvfPxooq9ZpS+KVSX47CC5jSsJf2r0sFwIO0321j490/Kbt+c+wljrH7zGA7/8tttmxemKrgKdj7Ms13c62OxqTu5Mh3G430c4cPxrAl1YnE/upMAb/rzH5/uLjf4keCwOkxXmnruWnd96J36jQ1d3LiauW8OM77mS52UdFr9Gb6Wfr1AEc3eTCdSezZXwnrclIyXtwBBwyefcbfoevf+9bdGe72D45wuxoQKZLJ7B91g0uIxNXODDbJBNkybg5pmcrXHbxWWx+bBebNvRz3e2bVcJnYTDLhq4hJjWf49etYpE+wIyY38dNlVB649234To2vhGxxOpj2aLFvOM9H+RVb3gRJWeQT/zrp3jbe99Iv+lyoDzGGetOoWw0We4W+dkdt/OuV/8u9zy0haXDg1z2nGdy4P57+dZNt/OeD3xW9Utl23W8/iOfZ3ZuTsmvlosuLUk4NFtlZf8Qjg1avosDY/tpVjxeetaJXHP3IyRBoiS00+UGUTwPoIn/UqyF5AKLjIQriKy22iTK6wRNH91P6MpkmQ7rxElMrujypbf/BVNJmQ9+6rMMZUs8OjJJqAcU80UGBnrZsXsvRdelGjWxuoW9EpDXXTUxrctEOYCBJT00oibRSKiYfbVChFPVyAklR6CHUFBAkWwLgUpYM6FCj2NDo6b5mAUbiqB7CZGfKMBOa2iYpkZdZLpxpFJ3JblUq0b8/pWnsGvUYufcboywlwNTe1ncW6AZBsxM1Lj0iispj+9jenKKmbhFs9xSAMvlZ5/DzXfeS6kvo/ZT9RoMWFk2nHgCD+7cwnmnnMDDWx7jHS9/Of/7Oz8gbgTUGjU0SSH1NPoWFdCq87LywNRZNLCU37vsEv7hc//GicNDrFi5iR/cfJNiXhld8HvPuJTtB+c4MnOAvpKuGCgP7jpMHIYUREKHwWqrD1MSiGWMRU1yZo7IMVixeDkPPPIA9aRBKexmUptieqzO8cNL2TV2iOPXrqXcqPI7F5zNbQ9vZ8v+gyxbsoplq0sc3jOHUfQYm5zl+BWbeHDLQyzpGcTzKySBywsvfC77xu7n8MQMdYnzrLag4hNks+ybOkjOKTBbrtCVc3n/W17LJ75yHY7V4vwNmzjruLP5oy//Ix97+7v4xZ2bue7hX/L2V72Ju275GTft38lxvUtwBwqUq2X0MMfM7BxjsxO4khdrhgwNdDMyMode84iyOSwPerp0vvSFL7Ht9jv48JeuocvMs/fIPk44fjWPHNrB6hUrsWtNSqVl1PU6UauivA4bkc3+Q3s4ef0pnHrSyXzp+m9wwfLTyHTn+OnPb+dLX/0mv/++dxD4QjkVkWSM5gXqeokSYVUZJKZPkggAEeMUTaK6ie81cHI9xF4NI0nwY4GRssqLTIXPmLoCdg1bpLgSSNAgIocZhySGSF5ryOUXhS4VLyBnRgShSWCYWFGMaXiEkviruegita176LkiSVjF1EwaLQ09I8B5QM5OmPMcCtkIryZsO5tczqZRayLNlkRfFVaAh0CDuucpRlojNHAtCaCQFNw6pgKIBLAyiVpzaEZJSYsFtxfpatYNSAIJUPBUWzVXJJQBOg1Ms4QfyrXeIMkUCL0WmYxP7Fv4hoat2+oaN0SvbjYJ53yMYonYb1LMOcz6EmISYuk+mm6r61s8GgVI9UTx6/tg5ZWfoa1rBGaRuDWFa9v4iYtfr6Fl82iShhw5RHJNileirlHzRX4aEmsukUhV45jEb2HkJLTExvRq6sYTJNIXkC9m5lmO6tyGJLkl4E9jW4mSaJuaAL9CfqyhG73oSU35N5pWC8cSz9FAgnTRQo+KF2NqjwetZGMSpx+jJcEijXkGZyzepDL2bPCbBLGmEnQFRPTllmhHZGW5AHzTwcGjFbYIYhMbyPTkSSoRvkimzQhfgFvDVuB0Qgu/6WD2GpgtD8c2SUyLuFEnyebx5QFKq67YgRLKsaTPYLrskdFCqo0APzHpNufwKRK1QrRShqji09AL9DszVJNelc6d1arK+sGxHLwoUczMKOMQTU9RWDZMvdag0N+PwRzTO3ey/8i0kGTV54tuznu2qgAlEUvbwlKNsTVTSbT9uo+Z14kDje999B955z/+E/tGpzAjg1A6JUmwSw6G+LY6JrWqR6IlnLh4EdWmxvEnLOHhHbtJIp2BUoGJeo2JkUn6+wrMhi3OXXsif/mBjzwdX1+O1bH6Ly8BujqZbqnsNgWi2oGJo4INj7PGUjZVZ1pr+3JpHY0lmK670P7aAYwU9OtMcE0TSdsnRJ1te0vp7b8KjHgqE5h0EiRgSTtzrp2RJ9uXkIMUrGlPMkwZhe1y3SeS5kpJIm96jtqBvKNVezvSEr+91MftaGBa2i/tjMP2fuv00OtkMrYvuxBLT/okPUftTLnO/Ur/iFS7/Xy2999CY69z4vtEDMW0/ek+F2KJtm+3k6HYzkZ9smo//+1jTIDoTkAg7aP2cdO+jfT3dAzI+Euvz5Qlm4LIKajTDohLpcm6T8bkS+toScjH0naP1bH6zdRXFmBoP9WS+0z75+AT1RMx9zofgDxVJt/TBvJ96osfZbpSZma2jO9VcJwuTlg5zPjEJNt27qdnUZFiLsvm7Xswa2CWDPqKWVpNHT/fonewyMGtk5x/1WvZf+N1TAVT5LUsxbxLXRy8I5tWvUItCoiI6C7lsCOXPsfhwZ2H6OvLMTZXZfXAYupxGV23+dKn/oWRQ1Xe/8/vU4mJR+amsQ1LSfKEKfLP73gbx5/xXN7y7tcwMTnNUFcvfQMm92w7QF+hm6tOv4ITjutn7blX8qfv+B2OVOqsGxzi/X//ca759r/R5cEND27mSHmCr3/+2l/1xde++c/87IF7WNPdy3NOO4e//MnXaB300FwTxKvO0RXLTey4eu0MlVAm7g7NmqR0xqwc6mH3+DS2biJ8IgkEiBoROfEBE0DNFXkf9C8vcvDgrPJGE6aYlxe/LWEaJfRYLlU95JnHn8zGtSexbfaXvPcPPs1lL78E18kxUOohY8UsGhzgpvseItdtKQ8qAetWFHo5mMxhBw55X2em2sDRdGpxQC4/76eXFBWkQqFiqPCNKZngxwlFyYFNImXULpO4mhlhFxzlCyYiSilhQYnPmN7SCCQ5VOZ7msiSNdysySlLNnLGyWv5xX0PkbG7OTK9hxdc/Cw+ee33WJQr4OJw/Pphbt3xGN//0k/53de+mMH+YZ51zvlcc+v3GD00QaGrSMnIc9rJS2hMNFh1+gnccdtmejWLVpfJ6L5RFchgaGXM3LBKtT1tUZ5b9xxgaHGRsf0TeLmE5z/rIsoPjzMVNxkZHaOvp49zTj5BeFxc+/MbWbn6ON78rNXc15zG9vp56MEH2HV4lmazwaolK/ibf/gw7/r9PyAuNCnqNu/6w/ejLzP51he/hqMb7B47yCsufzFfuPbrCrR71nFn4cd1MkmWJKfRb9mMBRGjlTkW5QsM9zgcarQ45ZkbOHDrXh7YuoX3v+ut7DaafOxdn2B0dpyP/N17+Ld//TbVRoXeNUUeuG8Pa5YPc3p/D/eMTlOu1/no+9/JBz7zr6ztXUdNknz3PIZlZfjoVV/ipwc+xo3338c3vvhjfv7Tb/C9n/2Y5z3nhXzi659jyfAKDk/up+BJimuGfHcXntdSabdj1SnCBooNJfJV39bIaib5ks1bXng1Zz3n+Wzf9nO+85UbWTwwyFRlmlsffYSLNh7HWL3GomwX096skjevXDTEXCVi78g+jluzkb943z/x9S98gX0jj/GsCy7guz/4IeecfoqSVf/ksb0qfVZUuiJlJ4jRJPZZWGmAbZkEka8YeaaI0R0TKxGGnIOmx9hRg4amKw+yDDqtpo9VkARpSeOeB6pUsqmWwRH/xESARBNsTYFyzUoLU0WzhgTCYhP2rq2hS1ppJIEXuvIcje1QsZqiJI/mzeFKAnLgozm9xFGFWK4M35tn1AlnNMnjSJytBNUkTXRJTm62KIqUvRaj50PCqomTT9ACQ/mw2cJ2szLoQYVQyyogR/dFvaspf81Y0rLjGE8Ya958crAE7YSm3DcMxRrzvZAo8rAl5MMSZpWtALzIKpI0KspDTvxWA/HUCxysTIIXhDgS7KBnCZCk4jxO1KIWxjia+CpqaHaCqYdEoXgTxoSyoTAiNi1cV8cveySuS6MhoKWFTh0r51ARiWzOIfE1gsAiW5rvZ13z8QIHlzqeRItnbfRmQKJQughLES01xe6TwJhcBpqe+OhVCAMJ+JF7sRxTCz9uUszmFbg5PWerdU1Jqs2CERlELfE7tZFPH1OT9PIGQWCTkfthq0mg5+guRczVVYQJOVG0C1fdbOHXPGJyGDkDvx7TjDX68w6tIFbjQSTBub4cjUNj+EZBEDRCIyFvairVt5UI+CZ31EhJ8P3QxKjN4BtZ8qU8YXMC2+0mo9eZaepkCkV0v8zMNCplWEsMcvmYhp8hS1UBdI3IIGeryFt0U7xjNTJWQi2yyOZM9dAlabXoWdTP/jvvZaz8eEKvGDUGsl1bycgF6HR7bJyWQZAxyHcVKU/O4rda6jOgf6DEK573QsrVGl/5xjXk8lmyWoE5bU49kGp4AdWZmmJJ9xe7mCjPceLiJYp1e/FZ5/Fv3/423fkMFFxOWXUqtcY0m7fvYLZSo7+7xHe+9uOn4+vLsTpWv1UsPqkUAGkHWYR5JUBRp4xvIZltuq12QCet9mXa15WJiDCkOgGFo4GKC73eLlN8KpObdlZbp6wp/TsFTQQ8E+aegG3pcu0S3fZKGYedoFbnsXf2ixyTAHJHS8NN2W9pSEi673b2X9rW9jCN9qAGqYXku6nHYSf4tFBIxkKS2XbA7j9bC/VTWp2A1a9TCx2XvHZh8PX/MKaPtvxC63e2+2iS3ycCx48mJ15omXRcdJ7ro4EAnazXJ2vvQhLdJ6pjQN9/v/q/KZN+KpYCv6l6qm35bWpzZ7uezP+u/fOq0/ah/b6z0DYWsqRot8FIrS6Otp3Ue/Y3BvL92xc+wubtu6h5TYp5G8+rKa+zpWtWMXHkILPNOjXPp3ygzuLlXSwb7GdRb4G6sZhf7LyJTCSeaA00XxIvbcYPVVizaph81qHh1cj0CPAyRStqsbZ/KQemDitWjR5FivnQ52boX7GCPXse4+orL8dNYi54wRt53u9egaU7DBVK7JubYElXgQPjs2QLFktLSzHzNq3ZFqONUfQg4blnnS2zXQ4fmOFw9TC2WcDSTI4/awlnrzhOJYievOw4zEKWHdsOYgYhK9ctYXZmhle/6moyg8fzu2+8kk+/5bkcrPUwOjfHh778bTXZjCXFM4jRY5Hfzv+Ib9jgUBe/e9a5/PCOzeyvjhNaIbmKoUCSTNGiXvGwhSYn6Zx9Fv1L+tn70H5syyCIQ/oX9TMzMUvYCpWXlZzSF593Affteoy3X/1KPvTDr3DC4jU8dO+jhDlozjQwh3IqTfMl5z2H6+66kekpQV4NEj9Cz9pYtkY86xO5mmIVmkMmTGrKh6+QydAyQsJapGRYUTPGyBq4rqWkpF2hpXz9ZvEVI0czjHlz/BYkIgtMdKIwJPIiTjlpPYu6e3EzGcbL45y6YiPlapV6o87IyCj7Do/TVSiyf26EUinPhuHVbN9zgDhpsnzRYg7NTgnnBaPl8LvPu5JPfPtrGLHBppXLueCU07l7/3Z27t/DX770jcSFBn/64c9RKGVYu2wlWhniAY/9+8ZxPYOGGPnlBaSK0DSDC9cdxw07ttJs+izND/Cml76EXzz2ED+5+ZecffpF/N1f/DUvf83zCASIDWNiG5pVn5OOP5EjM6OETZ+NaxZzaLxGrT5H4AWcMLQWX29Sq/hkSj2MTUwyXMpzz77HKPaU5r3TNIPVuQESJ2Tb5GHOOHED+8emWGQUcEsuY80GA2GRbZM7Of3EDSyhj6/ffwsbBodIXKgmHmcOHs/WfTt51Sdfz+0fvImxI7t5dKJKT09WeZJpccTvPftyPvn977J++Vr2zxygpUfkE4crzrmUnfsPcM66tVz+u7/P+/7uj3lw/2MMlrpoSXpnM6bk9CtQTCb+ge/h2hZ7J47gNMQNTqfuxBQNCyPWmKtXOX3NJpYt6mfx8h5MI8fDW3YwMjvGvTt3c8kpm2jNVPCTDMsHV3Oosp/xlvjE+SrJNVPopluCmyODs088j5ZR5ru3XMemles5cHiUaHgxzVZEEmgksY8eaQQtX7GsEsXEi+a9wkwJT/AVw0yTlOFiVvm1OW6G5uyM8uqzRSaZS0g8C8s2lb2AFSQEuq78O6MkUAmnTQGJ4hBDvN9ETirAtg8mdZqxTSZqKa9JAWa00MYPqxCYWAUT30+UXFy8Klu6yDQDJd2NPV0BUFEmS0m81IiwQpO6Yli52GZAS0BxQ6TrMbFnIVRbQ2Tflksr0Mg4Bo16SN4NCBKXRGSynnjPmRKQS+jrhGFENpPDi0TyKWEkAQ0J5Wg2VFKtblvKL0/Gq4SbZN0WjWZBJcXqkUc97MKOykrWKX0rzMnY8MkKg9LMESa6AhtNIbWJ/DmOVPqsgFq5rIkfSmBJAz82FOvXFBawW4RWRcnWY9megK6IR6HEqQhoaxFEdXKmTdk3cDRPhSLhNfFF9hvraEaGUrZKzbfIGh6N0EYjT8aqqTRjOUHNWohp22Qsg0rVR5dwFkuWb9AMDDJugZlyk3xRkuF9Ii2HrdWUl6Ej5Gkzg2NbVCXZXO7jwt4UL71WCy8qkTE9zHyR6lyNgqXhuwbZnEFrtobwmw07wXEMEvEs9QxyBQfPj8nYLeq+rcJUvNAlNH30egXfLuJaAXaYUedLeThWm/Nj149UUJIWSnRSgOF2qVj0WBefQ4gFcM5kFEhdMMQ7UY41R7NcVd6PdiFP5AmTM4PlOsTdORG5o/szCvCf2LeDkbEKoe+r/YiVg9w7jJylkpfDakzvQInZ6SoZ3cSONWb8pjqHZHSeefxpPOusc/jrT/0rkZ4oRmij3iA7lMOrNHH7HOU5KynPwn7s7ReAM2Km0uSlV1zMDXfcrcazlWSptqoct3EDDz68jX4JaNFdTtm4knf9+Yeejq8vx+pY/ZdXKlkVZlAq65JJf8oQkuoMAHgyn752hlQna2uh5Y62Lamjebu1V7peuw9Zey00Mfn65z76q2WPBvjJBCplSwkDLwX2jjZRWoi1JuCcADQp8CbH0umV18mE62xHe7X3Z7qOtEskme1MvqOBnE8G4LQDuAuBbgt5JXZu94m88trfPxrY2Tku2oGnTr/HhQIxnsz7rr1d7ee905MyPV8pgNzZjifyC2zfR/vxdb52tDbKuG8HaBdicraDfO190elf2Q72HQ3EezLQsf0Yj4F8x+o/W7+t4NpvA6j6lafA3Huye3s7UNe5TvpZtNC2Ou/lnQzk9J7xG/fkGz0ygUZAwbYZH52mXvG5+OTT6LazislRLPQzN9bk7//kKl5+5fk8+7zjedUb30x/zsOuxbSqTbKeTRKK7DHkuBUDVKpVys0qemTgjzbp781yysa1yv9obLRMb77EwEA3WdegFoZs3/UYfl3jk5/9Flv3HeaKqy9Vaav1pM6uySMElYAlvX0sH+xluJBnbX8PtUqFidoRSkaWF55/PpZp4NoOx29ayUf+5RPoesAZp5zAyEPTXP/AZl7xvMt5/tWXklSbuCWdByce4xs/+zmLB4d483vey6UvvYTY1/nhTbvZsWeCj3//WiXXGliUQw8irH6bpUuHcfMWF206gUU9OYK6xw8efYjJaAKaId7hBk3Dh4xBzQ/RG/CWFz1fhWH8xWtezfgDh5WJfrMREDXFr2yCd/zOa7jklJMp5rMUybJv/BCzNPizj3+SubEGh0ZGaWR9GlWPZcct5hUnnkWXnuWr1/+YWrmFXbRwhW/SlcXwQ1plD0+k000BrxK8SZ8gnpcT1iPx1zIUoCTSPYmTjJvzEkl17k5dw5TXUqm84slkaoYCM0uGw2KjSOTP+3MZrsGWx/Zy/S/v4cd3/JI7793Kg1t3cmSqzOaHtxP4CS994VXsqo5y3plnc+lFl1MPygTCEJoJufKiqzhn41k0ygEnrFvJF3/2PYKZgN5CP2v6lvL5a6/lrc9/Eeu6F/PNe3/Ev3zj2vnJZCbPK085mfsO7uTI4Qk86ZPVq4jcUAGlrbkQr+UxpQdYYaJAyGpU4R3/+mFuuON23JzD3Oxe7rv9GiZnasShxgmnreHiDedT7O1h54FdrFu6mmqjweZHDlALZjhrxXFcde4FjJRHsX2NGSMhKLe44PSVTDXq5PtLygPtzFPWY2dslp+1htKSZfzkmpvZvHU/JaPEdNJQEvSljsmiE4Y4+cRTyHgaX7r9BsVMnY1btKoRxbjAdx+8A9t1+JerP83W3bspmyZLulzmwgY9pW5K+W52jo9RsPNU4jpXPedF/NnVb+NSAbnDGms3LKer6POFz32Iwwf34bZ0Ni7uwnJcwiQiTmTiL4EDGqZhsa9+hL7uHgXgCmXTrM37HcrXu558UYhdKpnzyL4ZDo/P0NfXT9HJsHJRL9VKE1yDxEk4VNlJPWowPjXOkelpquU6Vz/7ItasOh5nqJeBYYvP3fhdzj7hTCUlXNozgHb4ID2Oga1CaRwSY97DUkSPKhnaMDCzhvLwVOCRkaAnBnG9SdBsENen0XULTQIqxEOs0VKeddWKgDzguXmsrAxmBySlN3IwXdlWFj/2MWYOEs3NYcZN6qFLItJQkXLqGQxDWH1VcjmXYsmQvAfyhSyNSGTuTbSwpSSqsRegOxaJlcUMPZqeRi3qIul2lV9bK5BtmjhZFLiUyWvEVohjCAAmnoOSomvTqCqkkVZgYBbAkhPg5AhNUwGBiXi8ZR3qcl9RwGSVsOyjZS3FjFPgTShXt6TjClikUW9q2FYFP9KJzQJZq4IuYRNZR6WqG7oAXqIt1ogCBXkSmT5+I6bZrNAQYBLI97nKN86MphVDLRQWmy73+5hAJLumSaUu0mc5XwUkPySSWB8/xBMQXcTFQUQmE2BkHMUiE0awW9CVL6Ht+LSY97hsJTkM8eYLqgpgnC03ia0u7FhXD4a8qIHtami6r9oW6gWyRZd6U/wIRYobk2S7cTIBVm8eLVdUIJcr4GTYpCdfwDJ07CgkCF0iW8cyW0SWTdNvoEsIbq6gPCGb0+I7KPJiB11z0eI85VoFMyuepg0SS9h6ORq+QdOPCWJZDoziIFlTwjccwkxGeVj6ktqd10lE2lsQKXSDVhIQKrC9SUuCPyydZlMnMh11P87m8kRGoEDCjB1iZS0ldxYsLt9XUn57huujNSsUzJDFpsuj9z3Eof1ynnxMU1esu0Qk8dJ/mk5UTzDyBjOzFRUCFWiJuv8IzbM06NJjuPzywQd436c+qgJIXnDZ84m8WLFfvZkmlmXjl2MGxf8WKA3nGOzpozIrXo4x197wS7KmTaUcMrxskIxV5NAjkwp0rkU6q9d38+N75pM/j9Wx+n8F4JNqB/hSH7t2XzMBGTp9zjolqe3SyTRcI/XVa690vU6wYSGAoRPgS73MZDKTegX9ykfsnz/8q8TQ9qTZhY5bpIgpsJECKOmyApql/n7Spg/+6TnqdwHS5Jhk+U6PvrTSCZZsux3gk+0IaNMpL5VlUs++pzKRS1+X/1O2nrAxO6W6cgzS1k72V9pnC3nxdU7w2oG6tM/ltRRMkr5u30f7MmkfdO67HeBsByrbjyv1YXwiL6i0felYS9slv6ey2s6x2l7pvn8Fhj2+bHr86fmSShmmnUBjOzDW2c52T7uF/AHT11JJ9n8A5H7+TTVunojl1+np2Am6dnr2pds+Gsjbfg7ak6oVcN4BYv5Xe7zd/IYV/6X7/38RePtN1f8EgE/qqQJ80vdyPcn9+z8L8KUsb7n2088fuc47E9/Tz6J0nYWY9WktdJ/4L0nX/fsPvJc90+OYiYanRZy4ZJiduw5y9imbCLtz/PBnN1C0cnzqT95IYeOz2H37N1hz/in804f/nQcP7sSb83EGXfSaz/Luxcp/Z2V/L3v3H6FUyhJFWWYbE1x29rk88PAj7Dwyye9dcREHp6fYufcwuCFmrHGgXqbbcFnZO8j6VSu565EtDHX38dDhXZTsLJPjsywbXkzedTg4eoS8nWVUL2PqBtnIYHFxMdt27uTql17C3semOFw9QFmLeNkp51OvTfKsS1/IspUb+OsP/g1bp3extH+Yj/zt5+Y7IdrCVW94F7MTTcWIEQw1M2DTHPNUOm0SiQ+dgaZHSo4lQMNiu0Deddk3O8srrriAb950q/K6a4zXcEpw/NBSZmsB+0bG8XMQBhFxNSTb76L7Go24xU3fuZnLXnGZkizGWsL5J6zn9kd2MLi6l5KfpUKZjGNT8UPCikdtqkm2mGHNomFGa7Ng5KhMjTCc62L/5IxKftSLAkhEyq9JJqwCmWji7xZqipkXBxGJHSsQQGR04qsn6IIEIAhDSc0gE42+vgJhs6lAWPHmz9dNqkagmH6yzaIkaFYa5BxHeWPVsiGhNw/OCCAhE3kBa4weG70KP/3e13nN7/w+s80qr33Zi7jv0Ud5aMejPHvT6dyzaxuTkw3sksGi0gDLu5YwHc6SGDpzB0cpDfWwfe9+Tli1kjnxkpur0T3sctKqdYwdGuN3L30OP3nsHvbuOkitVldSy6zy/ooJPJ+JeoOeri4W9fVT0gvkV/Zw1513UMi5HN5dpndYWEMmhiStGhpf+bfv8YK3PpfI83np6c9k8shODpQDDpanKGV7GXRMpls641MHyRazioG5afEGMlmL2Yk6y5f3c3D/Ho4EEyzpWcHE6Cw9Axm6rBwzc3MMLF7C2F6fWmaU7nyOgmVhagIG6PQvXkxrtszBvXup+CblYI6apzPXnOa09RsUQ237wUNcfepzKQ0V+cWWGxkbneaSs88js2wxgQ/PO+dMPvuVr3Dd7fdSLGXAzOE4Lhn5cSXYwmTvo9uUl+bQkh5mj1TRBgzsekwSxQSZiKgOawYXsW5wgANj45imw6p1q5k5uJVde2fJ9C9h/aoSf/jeD/Oa17+OU5d2U47hxkceJJMzWGQWeN9b38Dmh7Zy7S33EmZiSppJruSyYsUaktoMj45MsXf/KG96xfncckjSZUWKG6rxEwrmJfJaQySt4g/moWhOjokeBio8QxOTtsRQklvx4BO5pFu08ISGmsS4ZoyXGGR0Q9T2JFGg2GeaYdLn1bjgrNN5YMsWGo0W9+7ZztCaM5W8VRfPu1jiKgwwBJA30N2skokKA7Kp21izZQWWCKtW5O/C4sq5ngJthSUWh+BoDo5eJ7ZytJoBUUukrjG2HWNkTMxWg0AvkImb+NkB4tokkifRqMdKSm8V8xhxhUaYkBGQyZaAhhZRFJLkBcWMoGmj2zGBAgELCoiTGFw7CWn4DrowJDMmSejiSxqvQHniQaeJdDmDZoZKzizS08STlHUPL7Gx9XlQyW/qNJot8nJfcGQ7gfLQk0TYWmjJSxhOhnp1PrxDgiesjEG9rmGZ88vG4i2Xc2nWW+SzBsUug+mxeRMATewPikJTbhEbFrbWJAwtkHCMYI5cscjMTKjCdWxXvPYCxXgMAp1MRh4ECROtiVPsIhDA1nIUYy2pV/HdbhLPQ8wTRA4eaBqmsBZbCQ1JNjcMDNfF1lvqnMmDFNtyCOKIQh68uRgzYxCLX2HUILZdokAnm7WoVKq4GRdfwOegjiOsRzdLHIQKVDRik8D3MfSY0Mwq3z7bFABTkoibhIZLxo/RHFf59EkgiG8X0Lx5sNKv1xWgJspcxWwsdinJtLBkkzggsTIs6xFg16BkJ+x8ZAe7JscwfAEJ5SYsz3B0koKOLj6DQYLVJeBhjKPrhI0Y0zaozwlQr/Pjf/0Qz3vze+nr6iHvJsz5oXowYWZMlvUPsGP3QVxh5880yFqOGn++L8cC65av58CBvSqcqC+f5ZmnnsrN2x5QDwMOzZZ5z+++nq99+zvYjo6fJEw0Kvzs2zc/HV9fjtWx+o2UgEDtT+BTH752tlNnomenbFfWT6W97cukjKMnY3xJdSb3pvtu33Yno2ihsI2FGIFppcDaE8lp29uSTlwEqBLw4MinzlTAYpocu5AkaqEE3YUYWml1+gFKpUBUCoY+UdJuez1ZAnB7G462XDvwd7T9dibMLsRia2/70TztOtc7Gjuw08+vk2HXvmx6bO0+fE+U1Nvpbde5bmc9kffkr1OdLJinklQp10H7mHwikE8AQhmv6XhP5eTt+0i9+Baq9mu+va0pI1baJ8D2Quunx/KbZvWlfoPtzMQn6qdj9cT1P4VZ99skfz7n8T5/KtLcJ7unt6fJL+Q/++uk8Xay7zv9Q+W9pyrXfdqYfC2vQRKHyi4uKUY8tHc/QQI7J0bZ/OgWegtZgtjnIz/5Ma9+59X82de+xQve8m7WnXIS63r6WLa4l+PzSxnMlxRQ1WxV2T85Rq4nR7XqEfk13Fw31/zyJppGxOqlA3zzF7fy7vd8iLdf8gKVnNiT60ITNkTYYuXgINfcdys9uQyXXnAOr7r42bzj5S/h1HUbOFgeZef4ARqtEDdj8+bnXMiwMcQ3v/BjBlct5p/+6ve45Z57ufzKl/GCMy7mjc97Gc+6+BLsnDD/RrjmmmvoKeZZlCny6NbdfPUzf8czLj6fj33gc1TnPC5Ye5by2xPajjcTYTo6SWKwZOUApmWSix2iiRh/wmMcj12zkyq04Fs/vwUqEacNLOaURb384zv+mJ2HZnjt//pLqn5AUI0xDE3JxSqjTc4+9URecNF5vOatL+fcEzYqgMJ2TbyqhmHqVI9UWN7Vw+SeGj2ZIt6MJ9wmQl3Q3Zht+/bSV+xlWcZiMD/EaKuKW7Cxio4KrhAPLwElVaiGMy/bFSBKJocC4iVNjaQuXlUC14FbMNEcAUkkaVPAPpieLTMnaZnevCSrnonQc6YyyH/5Fc+lacU0k5ipqMls7BHU0lSamK7FXRRtmx47S1dNJ5/P8qznvYgj4RyVIOSTP/gB9z6ylUwxy3jTU2DJqrV9ijHpWhlGmGJZXxe2L75ROUZHx1VogfiJZXuyxG6Ioxn87L57ec3zzuJvv/tlBuQYQg+36BJYMeeecSJFw+a4datZ3TvIhsGV7Nx9gLHyGLffdrc6F7MtH3vIojJbV5Pz2WZTAXxSWZGx6SaPbd2GwRCZRGNJYRGWF3HBqefSncty/NqVOEGGuB4wNNTNupVrMLtgzptlrFFHb1k8cnAvp5+0ka6eLgo9PWTsLhYPDGPkRxkwMuw+LIzBiIfGd7N5xx5WdHWzceOprF+1gqgI3ZkCWUm97CqRLRQYr1R41ytezfe2X8/NW+/CK7tcctFlnHX6BYxtH+Gh2x7m3X/zCQw9j9VlKilySINcLqeYT9XZOpXqLL39/WQyOcYnptD7xb9N47LzL1BBI1m7RE9XjtlGnR0j00w1I3ZUJvnFTbfgZPtZf8Jx9PVmuXP3Xt76tpfQrdU5PDpBozaJIcNPQOMk4Q//8RN89mc3UdMaVPwGPfkSUWIys+8Ak7VA+cs99/yzufXuXXTNjNJTsHELFgh7zxRWmaH8+rQkRLcEXPeVj6V4k2lxgGa6SkYpavgkl4VcgTibI1MoKcM6vxlheB4tP6Eo13XiK+lvoTnDySecwW0P3KvkmUeOjLOqZzGZ6UP4DV8ElOg5W/niuY6jGKBh0FSgjT/nYzVEWmkRN03FNtNjAyeu0ioHFDM5rKCFLYE3iYR1iJ1BHUMXH8CQYlYUkZFKeIj1AlbYInYibH9O+Uv6nka2t4itAkIkZCKHE5okyqhO/PxyaBIi4oHp6fP3KMfBEvG5bFc87oTRK/JNQ4JDDIJaDI0J5REobDhX2GMth9jwSJICpkrf9THdnPpo0YJYMWOb0w2CWgPHgdgxMAOfxLIIY5tqy8QQv0DdoR4mZItyc9KVdLZWkWRjATTnGYiSUiQJsW4+hxcaNKZbOEUXK2eg5STxt4GW0ZSXYCO2BbclSTwlPy7PzAeoWGadWj2mMSu6cgE8YzL5DHqtjCYA3tQcVtjA0y0MsSkQD7zanPJXbLV06rU6iVfHazQxJTTJMbG7Cop9FiU6LT/CtlwiTcNycrTqIZGToSyejAZcZUJtqkUU+5RrHsWMRasRzINlAgw6eYxWiG4Y6PLAzA8VAKy7JcXqy2XyKqyCrEWSFHHVOE6oe3VMN6FlOJjNMhQKxM1IPXRrxTmsrgJ6KUtXJsZxQvSMgx4mDCwpsCST58E77+Hnv7ydnXvHMAS1dwXGfTyExtBUyIYAlcVMBkP8FQ1NpVMLDzI0E176vOfgtEze+8FPqHbPtarsOzJDfU78GTXlW7ln/2GMnI4X+wxuWqpSpsXeQLxbg2rAo3sfI6nLXTMh1hPu2/EI0zMN9h6aIvRDvv2D7+MlOot7ihyYnObcgWVP19eXY3WsfiPVCSak7LR2IENAp84kUwECU9BEwIdfAShtTJ92SWH7+ylTKQVtOpNC29lN6bbb12vfR/tEI53kpOBCJ6iRypFSWW1aAgTIBKW9LemkRdYX0EQkvK+yrvkP67T/nrL32llaC0kv07ThzpI2y6RO+jrtW1n/qQJ87cef7vtoAR6dywn4mab+yv7Sn/ZK+0h+UnZjO5uuk1kn22pnlKUAptQTBZosxIRrP5Z03KRsvc7l032n7LOUeXc0aWs7YJxuu5M92bn8Qgm07dWZGJxuv/39tL/b/5ZrMf1JS8a//Mj4S49NaqEE5rSk7QLqyfUn233fh+5a8HjkHHcCcWmbFwrGkRLQQNZpl4B3Vjr+f5OsvhTgu/oNf6z+lz6UsfpfzSz871z/rwN8/7fGxv+Jv+FzvvxSdV0JwHa0e+RCwF77g49fWQV0fDa2L9u+bQH0Oiu1oOisdma8lDzIe6KHWP9XQT5f15mrNbDyNsFIQDNo4XTbjFRmOTI6wRc/+H4+/t4/59G9B/non7+Tb//9u3jds5/Dd37yHcpNE7+Z4ActZr2A0ZkKKwaH532nhAHmGFT8KpPeGGZsMlOpsmvHQfxyi6tfcxV//40vUZvwOLRvBCev0Zxo8J0bbiPnu9y/Yx8/uvVGBnuy7Dk0zgmrl3PK4Cp+8E9/zbc+9Kf8/iuex79+4SZefMUZPHrf1/Ema/zkJ1t4+8tfx09++FXK1Vm0Vo3nv/atfO3Wn/G3X/wSo4fv4f5929hdmSF2Dc6+6BJWbVrCj7c+Rhxp3Lb3PpLQYGDFENkuV0kWjZzG5MEZZCo8M1vHzhu4i7P4M5KeG2JU4Udf/xKZHgtvts69IxO89e8+yqKhLt7zsjfT3Z/FcUwKBZdly/sY3NTD4YP72ToyQqRH1Fstio6B70fsLB8iaUFdgIQukxVretn8yH7cfpt6vcUzTj8JX4/p7+pm+VA/q1Ydx8HpEZycSZduK0aggISa+AgKpCOspXDek0kAPF3YiEmiZI+JUIbmLeYJJCVRuf/PG94LCw9h+c1KpICkfkb4NZ/LL38etUqTb11/nZJpiwpSfLjEhJ7svKebktgdnmEu9pjw6gSDQ1RkIi5plT4MWA7d4qHmmAwuLvGHr3qFAjfHG1W0jMWod5jzV63m8lPXMNgtXl02hZ4CKxYNMVIZ4cDBMSSzNJ6zWTu4no/8+z2s7u0jYwwxE4Z89VPX8o9/8l7e9OoXcNbxm9h++BC1pM7U6ChnXHEaw4Ve+vN5CskQK5cu5uy1a5QP4FmbTmRooJf3/dHrecXrX4LjOSw1Bnl4dJSpqQP0DBSp1yr0FRz2HamxcXmJ5nSTxPJpRRHX338b3/nFj8gaRULN4fgTllFpxPz4339G4DeYqDQ556INSu4cajPMzgZUDV8xfnJalkLikB0o8sWf/oyBtUOMJFCZarJveoJFq3soJhl27dnP0sFlfPn73+eFl1zB2OQop55+PA9uuZd//843WL5hMWZYxjENJqZnlNy8NR0qSfahXXtp1OuEXsDk1CiNVhnbiin2FwgbOoN5l5/dc6dialbGaxTXCLCt4RviVWbxzhe/klNOWM9V551Bdz7LQ49s5e/++H3kwgwFN0cu63D/nkOYGY1Cf5c42jG4ZJBiMUNXqUsx2IQ9Ndzbg9GVZ7CnC8PXuPilz2LdyuOZrlWojOxmZvc2er0qthYpYFfPWBiWTiR+dpIGGmtosakSdANfWGiOYrw5tkhfDZJGld7qKFHDw8roRHoBwzCpNkWO6hLs38P+vSP84o6bFfNvpFJW3m6z9TpxGMDMJHpllkYzIWMa1GeFORcpcFAYr9mMTyZj41gigRefSkcx/OJYmGYu1XIDkiyOHmEYPqYVYmkGnicSzwxBotM0XWIvJPah7oVUZzTqoU5sm7glC79RU6ypjOUSh01i08ZwMyRhC63ZUOxa27LI90lqdxkrCpW3ptmcQ+Ab0zaxtCy67KNcRRIXfCenPC+VND+bwe6SYArxtKsrQE68Bf2gQSCMuiTAyhXQMwVMkQNTxDAszFyOSIVWaJhWgqXZWGZI0fSZnWlRzMVkulwKOV1J10Mvxs1lMaOYZmBiNio4Wky5rNOqeMStmkoxNjSR/UZERkQ2qaKbcucVpqGLkWnQaoqtqUlJ0rTlYZIw8HSbMChjZvJCeiTJmNS1ImYYKtC8FUDGzRD6CZYQA/MldL0LOXDx4sxmMxjNFrYh90obGwnSiMgYEd7cOJHuqFThXEnuWzHfiE0K/TmsfIas7uFZWXUOTJp4cy2MKKKiQj4EyLSUZ2JoZSSqSI2rRK6j2To0xb6uQSPJqfQUkY5L4Ihp2ti9fYShj5Ox0Xt7yPfmiHSLbifAQydrSo6Fxmc/8Cp23HgX1//yLk7ctEqNI7tXwmVMBYD3dBdxS44K4hBPvjBBsbBxBSiP8csh+WUuJy1by89uuoVA89m279A8aNf0FbgnnO1LzzydTE6YhhFRI8Hucpg5MEZTWNrSbwLAK+Y7xNkAzdaYKdfZNzqnQmFEfr5x0SpCPaS33+DWx3aTJDEHYoUIHqtj9f8M6LeQr578pKmd8rtM+gU8SSVB6etS7UCLkmR2Bh1c+grFCkglsAtNbBSw0raeTKJk++Jvl7anvQQAWUgmnE5aOr31hKXXGZwhE6WU7SesKDkumRSmLL4U4JB9yU97O1KArrMf0n2nDIl2ELI9rbj9/f9sSZsXWr/zNdmfgJ/t0uaFSo5X+kN+OgGmdlluOmFMJcOpvDYNPkkrBe7agVVpS7qdzmAK8TNMq72v25eXHwFI24HAVDqc7iNNkW2vo8l1Fxpb7aBhO3C5UB//h+tmATD6VwBjB2M1rfa/U+Ag9VnsPFedBvvyfnrNyXiSfuqczMs11562K8u293P6mlS6bvq/jIEnm9hL36Vyw/9TQOWJ1pfrV65L6WMBQwXo67yfHQP7jlVn/Vf6R57zuAw6/T+9Tp5qwvVClhOdDL2jWS60lzzgaWfstVc7230hdnr7g7Nfh938tMl1//Btr8HOZhRLa2xkipdf9Qw+9c2fkCk4xJWIf3j979NKGhS7Qlau2sQ3fn4nhjeDpmcYe3S/SmxsifeSHnPPkSNK9tgIfJVk2JgQZoPGmeedyOiBw4iGbSposKa/X/lM/f3bXsKNt+zkkpe/mR9d83G+9PUf09ITZVD/uuc/n5vvvI2ZuTq/+5Ln8eCObXSZLo8c2Isukj5Nx7J1rjzvHG7bsoXHRg7y+kufz/Nf+Uc89MvvMi3MDkJ+dudDXPK8M9h372F+eM9tlLJZRspVbrr2FnX8f/KuV3Nwroo/U+H5V1zKt355o/ImkzRfFQAQyk9AXI8J8oKKKoUxb3/jK9j6yL284JkXMjV1mA9975cqfXeuVkMv66w8eQXToxNU5+ps2riOh3ftZM3S5YwdGWNRsYfzzjyT799z07xM1oemFpAXh/iSi9kMGXT7ODA2Qr3RJApirnrupVx7w01Kblvsz/Ca857Np3/wE/ryPczKZDerc9qy1dy7eycN8VASGa5IGNGxdJHjKooVhmsRGyL7MghmJIBDI5gRhg7zYRuWmFIlxDVh/0VgmEo6KAxH8emTbSRRorz6ojhSUmZNT0i0RHmoSX9JB0ayjBkrFqBQA5cNLWVicoyM7bKku5t64DFVrxHXQjKWzrSwn/KOAnSMks2fPe/3+LsvfA5R7uUyJtVqnYKWoeR0cfz6jfiNI0xMNXjfW1/K/Q8f4LJXvoVvf/HD3Hr/fbzguJN59lv/TJ3fP/jDl1EJGpSnPBYXCpR6c2zbN4EXBZywYQWnnnAKe3YcJNYDqs0ZWjHsPzjCOauPY6Jao9eVZM4mi50ihaFu7tpyhA/8xat4999+jGXd65hsHGJkapZCXqfZiOnNFHFyBaKwTrMhHLoGr7j0EhqNmLPWreNfvn8Ny1ctZ3p8WiWU7to2xmXPOYNv33ArQ9051i8Z5v6dB3AyGpee8hwyTpkjIzM8dGg7GSeDGWnMxgErhpbhmAFnbNzIlkNjPHD3g7zqFS/ngfu24gvYqzeZmKkyPjejZInFUrcCN4JWyNzcJHavpQz4X3/xs/nq7beSd0QybFKJfWw/VN5yZj7m6vNfwKplOQa6bf7uk1+n2zUY7l/OH37g9UJ55dtfvZuVK1fx0D038aN7HiK/pEjoSYp0k7ofsKTYq+Se060KOc9m6eIhslmDpSuGOPOyF/GdT35GyZz7lwyy86HtHIimqE3Uef3lz+G6I5NYgUnYqtHyfMRJMNEsJd11sxKfKsmzAu7ZBLHBxb0Jt9y1k7NPWcXde44QJhZWQRh5AsZpeIenyPtNagLYqTGtUat7tPSAvlyJvlIR28kQxy0mynXinm7w56W/Ar5kukxaswG6aZLJF8jFDSZnPcXCtTRPpdhq9RaRaaJZIrmskBFyrGOhOUVir4ZhOXhRgi5MvKBBlHNJ/DJGUqBg+8xJ6i2S1AuRLoxVsQhwMbSsAtjdTEAcGUq5LChLrGkYRgktmiGIY8UAi2wLAh3L8JSHnRFk0ST0IIqwXJfIa6qAHgF0jCRWiav1ShOjuwCtFmEokmgwbR1NpL71OcIor1J2hZ3oyj1a88noGnNxBiOoKqax1/LJ9vQSBzUMYcYVsoSBhIcYuPK54EtwSlMx7zJJSCXOUDTqNHFUQrHphJhmjmatjDdXJ9/VjRPN0jRy+F6Anc3PA4fdRbypCdxSbv68hjqW5uM3pd9Ccn1FmtWQ0CkRzVaxrSaJUyDyWxhencQWg0RhTTtoto0WVufZb7H0fAbb8BXgqWEj6luRtQojMPAtCm5A3ZuX8UoyRgDkuotUJsrKuzJ2sqJ+hbCFb+SwE/ExbaHZBZq+R0bTCOw8piQbl+uYRohZ7EeTQJRQV8xPJ6sr0NbQPEw9j25HZEyXD73tCp75O+9SD4Lkfqv8UQ0DO1skiuqE4Xzyu6ZpitGdMU38OKTQ5RJqCdXJFkbJZFWpC8vP0QwrTNTrnLruOIqlEtfd9ov5B0RJrKweshmXWsNHc4WFLgAirLW7sEtZhrN9JAWHH932SwW+3/LjW7ng8vMV+CeGDt0Znff+/h/y4IP30LV4Od/80XeZna4r5umyJYP8+2e//3R8fTlWx+q/rFJZqlTnU/qUCSWTkvaEz3T5zsTRzslB+lpnGINat0MG3AkwLpRmKpP4dDLSuc324IV2GaZUJ0giIEgKBLRLElNvws5AixRIEdAjlde2H8tC1R4ekba3HYRsD3dol692yo7TamdayDkT5lbq45b2yVOR6D6ZzPdo1WnO3s6ATJleTxYu0cm2XKgWApo7110o5CMtAeNkItv5XmdwS7ust/0cd4ZoPNlEfKFzeLQQkvaSc9cO7LXvJ5XWHg2YSPu6fcx3JmCmErwUUFdt6EgL7nxd1k2BvVTCL+0UdmAK9D+V85cu9+sCK+0S3IXWFYBPxlr6+0KV9umxUJDfzvqfLAv+2wUeOjzV6gxaWigF+8mSeNvXS6szZKO92mW6ncztdg/R3wiTbyaoKeDrpJVrsW2Tn916F12Wi1fz+d6nP8L6Cy7hnh2PqRTCkdFRvvaDn/Gi885lbHaGfMahFYTksxlOXDSEZWh43rxvm1jAL17czZKl/fSFJsuWr6LmB7jY1CKb8ZlpPv7lH1N0mrzrHW/k5/c+gLMyz/HHr2f90DI++9XvQk+Wi845mR/f+Av8iTqrlq8QISAV3+eK887nirPPZWa2yambTuBl5z6T3bv38/F/+jPuvvchPvbjb3Hhi97EqZvW8p1/v5Fq7LGof5grLnoGb3nx83nL617Nv3zmrzh9+VpeetGFNCz45k3XK0+jQmxjhxZRLcQOQQ81TDSyLZ1lvUVOWreK1miFdWdexds+8UU+dt19rMoOYblZ1g+t4DkXXMjpa45XfnfZvgzP3rSJ2E+oVat4WsCawSXsP3yImfEK5ZGGaps32yLJ2zTKc0SNkFNWbFRgWRzFXPnsi/n+ddeztKuIbhl45ZBrb75bvb9x1TLWLeqn1yyw+cA+JWUWvfUlJ5+BJm1XFnsJdsHBCF10T5KNTZKqYAQhwWRz3hNQpFbVREl744bofIWVYqHFj0t9SYjEiL8eo8vMViaTkY4p7wlVRGzEJMpSlpQkR9FHBuBkba567msITJmZ6nQ7JULTYFFXHycMLMbtM5gMfcU2C/yAbD3BOuLxt5/9DKWCi5N1JbYZJ+8wO1PFyCfs3LuTWsbl5S+5lMhLFMB3x3XfYOTQDJ/412/9CuCTakYBRith3ZIBnnn++TxyaJL/9ffvRtNi9k6P8MgD23hk11bc1UtYNjjAkT1H1IT27se20ag3YVEX47WA6/Zs5zVv+wD7JvfxwU99WZ2DfWM7qLdCEjHQt3WWDfUzvGIlPdkC07UGdb9FNp9ndqbM9l37eN9Hvsy73/NKNg4tY3Gxm2pdY7ArojFb54bv3sjJy9fSXxzmB1//CV7LwLNqbN8zxh3bHmZN30ouPelkVgwvwQw0du/dQ7YwzLU33cIdd91LNWjyvR9/hxUbVzM+u5e4pc8HbOga2VyGZsPHzmTJZbLomq1CS2IzZuveXUp2OZApMNvwsO0ITxI1MzoNCUAoWpx2yjP5+o1bWLa0mz0TdXbMjPDqt7yfiSNFulyLGx68gW/cfrcCnZYGBcqT08zVmlx23KlYToZsIUdvvouupX309ZQwk5BH9x5h1+03c9xAH4fHRtm57YCSWJ68dCMvv+xKulcMkxPDNzcC18UqlTAzGaychds/hJXrxS7kMJ0MbnOGjU6LvfvHOe7EtQowOnnFELoRIzjzpnyR8u4j+OVp9FIP3aX8fMq0JPXaCWZoUK1UCZOAocWDdHUNUMjaDAiQInRIAizLwPB05Q1nOTZeWGesKim9EoRg0WwlBJKwa+k42QjDftwHzi7Newk2mviasNpaWI0qttmikiTEno/t5tEyHrM1kbm2MLIuvi2ebhIGkVeBJGHUxMx6BL5OS0JmQo3AMOaBHa2JKVJNzSFxHQxPPOaaBJLqrGWInFj5udnU0LxJBVB5sYWVz+JZ3VR9Qz3UsYIYw3RVwm9otkiyLonnE2SKRDlDgYbyySPp4V6cUffxgiV0LvH9FJajhlcrK+BfmHCNWhNds4gqFepzVQzxxkskoEOnJszjuEU5EElzHcsVOXADw6uSNH26ly4nksAaispOwnGFhahjmD6JL/5/xrzHaKNCGAq70SSQYBk7p7wdhZ2n1ybJFQOyAz2Yeh3b1onzJWVrIKEmwpIUCwNL1xXYq2VddMMnkIdIOPPSZr1O2KgTNGu4SYuKp+PpOYJIEndBT1o0my01JmRdYQaalkcQaVjCnhOWdiwPTpoKBNRFaiw8Ob9OIW+iuzaRV0Vze9ByBXJdBtlCooKSTJFBW/C/XnIGD/7yZi5+2bsUqKdu6vMYLwO9A7Sqc4qTPTzUS9Zx0SVMxDWVVDdvu5QbLRXStGH5EK++/FKybjev+9M30zRD5Xd520MPcduWe+kdzKlNZ1w5Nxp/9wd/xLrhxaxzBlm3ZBB/xlfhVjt2HOS6++7j4b2PKlmw7mi84g1XKjvXpX1drOxezEnr13HowBHuumcbUbNJaKPCWm796Z1cdd6znq6vL8fqWP2XlQAfaUiFVDsAJAyeX4Fhj8tP5Wm+ACny0wnCpfKhdIIvyzxRqEY7k6hz8nFh8PUFJ/ALBV20T3jaZUrtsqVUgirrpsckbUwZgik4kDLD0m22e8GlQEd7X6UstvT1dPLTDqJ0evV1gmzt4FAnkCbVKaUa/oN71X5Stl1ne54IxOsMu3gq7JGjGbHL7wKMCugk/SvbFmA4ZXq27yMNB2lnQCrZ7OP99Kv/F2CJtIeztE9q03HbPgFNmSqdE9aUhZK+3ilj6zy29P32Y3gi4Kh9zCzkS9guTZef9LwtFHzyZEy0tK87q7290g/tbe+crKtxvwBALyzMtA+lnQKqpaDMQlK/zlooSOep1K8Cfx5vU3sfpL8fzRfwaNs7xuj77Qvz+E0CfL8t5/9v25h7ndV+rTxRSFS7v17nQ6Y0yKhzPQHp2u0O0ntGe+hSWu2//8qOYgGwXV7vZAD/Rph87//AH3DoyCyXnXM+P33glyzPDrBz/DA1zefElUvQYp0TVy/n8MQ0D+7ex0CSYfWyRew4PCpEHhzD4MKT1rB7fIZfiBxHEiJnPeWhtXRRH80wJqjEDAyU6CpkGZuZoRn4VM0q2djgZRdcQnmuyro1yznv8t/j2c9/Jp/5s7fS1VfkTX/zLywvDrNtbDfrhwYY7B9mbHIEp5Bh++gBfviVG/js/34fzSDGLA3yxhc9l0e3buPz3/4R//T2txBYk/zw5/fzvTtu5zN/85f8wYf/geedfA6RH7NuwxLO3bQJbdEi3v62d7FtZJzeRV3KT8yqR3zxH/+aS//gHVi6xdpl/Txr41qWrT+RQ4dGue7WXzAeNEiqHg1D5+UXP4tXveJFfOd711DqH0ALAn56/2YOHD7M2sHlHJ6ZYK5aodRlMzXToDeXV6mdI1OTJJqJ5oJ30MfqNsmv68a1NaKDAWavjhPZNKKQ6ckZTl25mANTZVqNiDWLh+gudnHv9sfI2SazzRZLli3i4N4R4iDmvJPPYMfhfcw1Z+nv7sZyLeZmGgp+9bUWgST8eiFaRgdPQ8tqClyUlFUtjFm9chEH67NKRpc0QsX0M0RSqNRZiZJNytxVaYKFtWdLQIkMSWFNyauRmvwbMrEOYjKYLFnSz9xMi/+PvfcAs+Oq7/4/02+/25tWq15tyZJc5N47mGZjwPTm0BwSSiAECJBQEnrvHVMMxsYN494luUtW71ppe739Tv8/58jj/3DflTEJCcn7+qdntbv3TjlzZubcPd/5Ft2CpsAk29vMYP84iWwStyZkvwEL2zr4x09+nlf+zSUUJm3EGakIs/reJKau40/XpXStNjot23rU3D6yTSkGx0f54Te/ws+++yPGp1z+7h8+Lq/v97zvdWRbMoJOxfLuRdz6wCPkmqq894pX885vfpXZTX3kgyxGWKHYBJ2zF7PpvnXkm9O0drXTZWXonzrEZS+5nM9/76vYTsCsllmsWjafiWEFL5hk/8QwyWQz7vQUlpVmwp7kDRdcyJPbdknmUc2dYOnRJ3PbQ7fxpotewi3r10tGnuq6LFy2kKtvuo6OdJZF8/tkIMsLX/BC9m7YzZ0P38Nxq0+ipctiy95d1IohlWlxb3mEli4BxmqtzIuPW8PBoWmmnCqf/cdPo7ZkePcH38OWvTtoT7dKmXalYtPS2Ylv24wMDxAKwD1vsmbOYraP9bO6qYtHRg9R9xyyqslkYBM0q7z8qPM565STmdXSylUf/xA5RWXUq/GvH/0b/nDvHiaHDrFx43YmnLpk9vkiSEFVpZRx0ex2mRQqwP/JiRL5hMXyRUfx0IbHaM7qWNkcgTfF7KYF7BvbT2++icJonW2FIV5w6inct24dKSPLFz7/Ia768k8PMxR1C91UUBHhFh4nd7VQmRhl3FXQ7TIvv+hErr/7MZx6lT1TzmFJpWDLTo5hpXOsXHMMg4cGcWpF6lWPJ4b60Z0E+Rbhaudz3innS/D7/kcfIWGlME2Dkq+jW6Zk0RpmgmLZJZeu47oaplen7KRIZ3TcumDaqZQqIdmEjRIKyWooPe0cxcXxLDTXwRZDt2pihWU0K49TqaPnLExLMAtBr9mEpmDvlfGCJKYpiHk6blkEDZnS58zK6dLzreamJaPTrtioloYWiOtDsKny6FYNRQCCjg0iOASbUNzAqkno13EVC6WmoiccOW4LBh5eM8JYUQDdduhjCkiqXpEpv0lV9HmAYgT4mkjzDhDuf6opHt0EVMoipVaXLLCEFlCuSnweVU+iZjPUp6YwVAs7dNEE+C7P42G5p+0rhL4ngSDb1bAEACU8/kIBJNroSQu7ViJQsiS0kHqthp8wZBq0kMJipjADB1v6FYqkWoda0CxZkaoaYDWrTI35tKseBRGkpIYohiZibuU5rmPie7b8TFJMoeR2qdR88lpAMUxLsE2A4oGSQFXreG6SpFYiMFoo12ukNOFlWAM1i6/WMDyVWiot+yip1DETGlNFEXrh4efbSCtVYc5ItWKQSAmfw0AGhiQVn6BSoiWv8YoTl/KOz16NEvhceOJqbl6/kUDcXwJUfXq8FT56iYSBO+1K2a/SHGAEqgTVvLIrU3HXLlnKvt1DFKol6qHHcSsWM1Eal4FJI1M1HN+T50F4oNYCRwK2EkEU+K0BbfkMY4Xy4UeLIrbaPxy8NFUqsnjOLPGJwgfe8W7+8Stfo9n1+fYPruXsF5zKFedciKuajFYrPPjEfXh1n2NXHEVv6yze/d4P/yX+fHm+nq//8nrG7+5ZpDYRSCBAmjgzq5HBEwcTGrcnJgXCjFxMEGYKXYhqprbEwzUaTfXFhEUAE41BHNHykfF+ZGIu3o8nDDZuv5FlN1PNJL9tZPlFr0egWyMDMKrG9eKMsfj7jcy/IxmcN4aJNDL0xO8CWIvArb9ExdmGjecukrOKSXzE/BTtiQI5omMXbRIsxMa+/4+EXDSuEw+QmInF1xj00tj2aF3x+1FtG/4PEPtI12zjdRbVs7EAZ2IoRttrvKaPVFHQSWO6dVTPgAKxbR6pjgRAxCf5EWgyk9x4puOO2iX2fyTvskYgJn7fR/uOxpPo/fixRPdIFFQSBYb8Z7zSnq/n6y8RrvEvMebes3mTioozohtrJgZz42fTs9Wzsbfj92kjI7jxMz/elpnCgv5LmXzjIxV65nZw0/33MSfbxWhpEqcW0NnSxqc/+i986h/ey9Zdh3jBKScxP9GEqitMThUkcySdNGhryjBeERNeB0MViYoK9apgWyhk8mmacgmacyp6JmT/oREMTcXx6yQci+nxOi97zd9RLziMjZY4+NR2vHLAZ37xG/aPj/Dxv30DRk7hdRedy9Z9w9y2bj26pfHv//Q2KmWP2371VaxsgkRS5x1v+zuMpMIvrruRi85cxXd/e7VkWHTPauHan93KGz71MUrTImREkQmZ1XqSD332y7z8TW9jR2mKlGliCEbOWJXh6RKvfOeHOf/443nxycdKSeQPb3qIr//kl3zlpuu5YPVxXH76WcybP5uz1xzPSLnA5776PbbsPsjGp7bynWtvpTpWpEOytWrUpnwWLZpPcSokn03R1t3OqccexzGzZ8mJbsucFvpWt2HmTax6IEFPQzNwxn38TpOp0Sm6Wpp5bPsQE1NV6c8njNz7B4ZpSZgyZNOr+EyPFg6Dbga0d5oEqo2RsAj0kEroUtOqlKcK2JN1fMFAC0KCWkhohihisiyCISV2rDB4cAJLmPTZPqGYVIaqNMQXSabplM7KlUdJAKW7rZUlq5bTmsiw9pgFdDaZpIXZuwrLls7CCHUymkXN96moNar1KmfOXczC3h7GxguU7SprzzgXM6EwND0hJb1ve8er+eXnfoquGGQ7O+jobqE+UKa4dxqrIGRuVclaefsFF7CgtZnT1p7KD7/5Ay699I2cd9ErCIX5H/Djb3+eVYsXszLVyp7de1j/+MOsWdXK7O7F+GEX7z3/lewdPMCmqW0M1gpUB8d5+N67aUrlKJXqDAyOcPf2J2jWmvji979FWQBsdZXp4gS33vsgg5NP8ejOzUxNTrB/YBeGlWC6PMKqvjnc/MC9bNq5l60Hd/DEgf14w4dY3taEllDxaj7Ll85isjzCA488QUfzbJKpdvYOVNm0p5/t9z/MhrFtrFixjAc3Pcbt925g985RDg1PMrevg0KhSGVCBFkk6LRMdk4eYMn85Wzcu4s3f+CdPPbQHRy/chXduQxeUJUebbkWwYgKsF2by8+5gHe86lJWzOrjnz/9FTnx3zc5RcV1ZDpvzXZpyuQwA5WgNsq6B+7g0c3rqYRJTjzxNDrybcydt4B56XYWNXcwiQiZcKVsu7etFdMSrKuQ0FHxfFemh7a0NLFvZIiaV2HBwtl0dMwhnzdxwwzbRg7K60qwgieSCrM6F7B0xVFc9Y6reN/73sWDT+wncATLUMUQDFLBs0ppLHanefixR+hsSpEu99PV2sRjj+9mVjbNfdsPkNA1nFBIeVUZCLB8yTIe2fC4vAYnqlWyHW0ymdrQfeplh1rocfP6m7jtwYckA01RhAzdxzAMKUE0LOGtJ9KbBbPLQA9FGEeNfEb0Ww1d3Gc1F02E0ngiUtuT0tmyniKdNdFFcIjw0ktlMMM6rpHD9MtomQSKCEMouZJJlU76eAgWnIIhgK6KSlDwsTQFI5WRY56JgSNIhsJjzwMtKWS+GopI4bUMfF14RRrUAx8jm8YPLUK/E8dV0IIAL2iT0nkjHUjPNt9OoCRSKIpDJmXilSuYvivV9oL1lk8rhFoWrSlNvSru71CCW4qVksy6Qs2TPoIpS0PxFQQJVhdps0oCu+5iF8syZKlSrUg5eFOHYOKl5QOXishwEO32A4JQR1VsaScgbBsyTGOLUKZygG8H+FjUq6EMIUoEqgysUFIt0iagWBfS28MPHTxHxwwrWEoFVdPxx6uofpWynyZULJlaawrJtqJJsFeEj3iuhqeoBKkkrhOiZjJ4yTzZJmTirWIkcCol0qqBWpumFpjUKyWackmMlIVh6iSVArqiobckSIcTrG88AAEAAElEQVQ2ybBE3TApBQpWWx5XyLOFVlv1qdaE1YFIdHckm9awy6RrNl948/mMDR7iY9++Xlo1+GgcODAuwXNVyITFCO0EaAmNpll5PHzMdpNcj4Fm6dR8cT26tDdnOWXJcvbvP0hZ+ExYIhtFZeO2vfiuJn1aA0f47fn4gtWaM2hvyTIrI65dJJB44tJljAxV5L3sl30CL2TNvAV0ZPOccswJOJrHnM7ZXPm+j7Kio4/5s+aw9eEbCRMKv1x3O6Mjg7zhRavRMod9Yh/ZtkUyn5+v5+t/Uz0XEGWmyYD4wz7uSXYkRlrjBDyaEERgQRwwONKkoxHgi9YXzL74OhKo+/znnmHiiRIAX2RiLiZlcdZf5OMVATKCjTATK1BU3Dcu8o4TLKYIiIt7wUV9IRhtjZ5JcVZhPCDiufb9TABfI3vvSOsK0DEehhIv0ZaIlRX9HB1L4zHESxx3Y7hFIwMszvwUJX6P+k58CRZi1B9/BG7FQKqZGHONE+QoPCPOSGlMqJRs09t++QzAF+//eIiHaHckT422E11/jT6CjbVlfK08vqg/49uNT+zj7YoYm42st0YfS/HeTJP+iKUWrRuxJOM1Ezgo+jXOnIz788X3eaSKzsuzAXzxbYh7LA7Gx0vcqzMxraLjFyBC9H4cYBEefJG8Xmw7ukci0CG695+v/16G3v+2+nNYfs/1eop77sW9Yp+tojFWjOmNlgeiojGkcfx4tm01rt/42RD3MBVjZDSONj5Aa5ToPtu+/8tBvqGpEmf2LuKoji5SrWlWrliCldcpeEW+8b0f4xVsPvGPb+ZD3/4RtuMzMVmmLiakIjUxVBicLDI+WaBUtlFURU7UBU4kSF1CKlYp25Q0m8JQgY6mDNNiglytE7o1yhN1nrjverp6m5iYGqTJGiOdVBkenmDNSS+mXg84esFC6kINmlS45PwTqE4rXPWxL/PyU87k4MgE5518skwOFXXLTb/lA1e9ldPPfBFP9u/n6t89yMe+fDWXXfkyyqM1nEmfOx/ZwN4d2/n8T7/L4+MjBHUhTw1QaiGV8SKOlM8ZGJ0J+g+Mcet9j3HHxo2YLQYHCxNkWxJ8//47uf3JjWzp7+f+LQ+zbfdu9h48yK6hYdauOIaTly1g5TFL2DN4iP3De+lZ0My+iQPM6clTsx3GBkrceNf9jBd96Z3k9BepTNm0zxZhDlWOSizg2DXLSCVVRp4cokPPMnhggvbZWfxpHz2jSeP6yUqZguJSmCxLf7JCqUpCMTBSJg8+vo3JgjDSdyi5tgzKqO61SXWkQFekd5OQWQlgRjDvhFxXN0TspILarOMnFcoTlcNsEVUkXIqrTsG1XWo1j92De/F9l7yZYsfubZRqNg89touy8KtKmGDpbNs6gOf7NKUTMsRhdLhEd8LikcF+7h3ewWSxQE9TB7fffD21agnXs9kzPcnByQle8fdvwfM99vTvQ1MMLrr0ZbS25vBzupSHJ6wsv7zjXu54agstJlx06Uv50Fsu441/dyXT42Pc9ZufkM+kGRg8yGNTZYp2jcDwuWfTFs49/QTmnXgCZlsz//yWt1MT7EA3YNJ1OWlFHxdfeDonrDwRe3KSjjDLCeccR821SWeTpNMmNRHqoCjUKw6ehpzgqylNJuIGgh0kQFarlVzCoKO9FSen8btH7+eOjTvQTZN/f+8l3P/Eo3TMmsuYPUFvT4qh8iFOP3EJZsLEySFTTU01QTaR4ZRVp3HCkkWUK8L7LCDZnOOc05fSHBosWX4ij209SHObx/lrjmOsMs3wcInh/r2MFzwmyxUUt8LwSD9OuYKKyh82PU7JsRkaH+fhn3+bV536Aqa1OvmURlIL0S2F0QNjMhX6jo3b2HJoP6edfhJf/MJVXL3h9xwsDvPN7/wOO1nj/qe2o0gPPqiMewyMFHjV+S8gEABHVwtKqEtPQC/w6e2ZRU9CZ2D0EAMiJbtUo7tnLueedxwFt8oje3YzPT3KyatX8siGTZQmBxkeHOHaH/+IVmeSvGCHhjahErCKOna5QhMat65/EqttHgldZ/3gfsy2Li4783Q+ePkL0bwqRnESTctSDTxSoU3GsjhQmmR0cJjWfCsvOOVkkkaahJ3EKeokEwaaLhJ+VeqpvIieIayVEdTVoGrT2mSQCCoEvkmYzFB2kGEQNVWTEulQSUq/P8EOC50p9KDM5IQA4JKE6SS2YKamsyiC1aermIoQGLvogS/TTMeLAUldxa0KtplLwqxiJYU9oGjfNF6QwPEtGdajKbqUqypOTcD78pokNNGCGl6pSDploNRrhJ7wxisfltQKtzmlQGiXRfw2hkj69StodYWEsAwQTEKhthfAoAAJw4CiIwJ9HGHAepgBJ2BGsxW1WpNjr6m5VEPzcFI4vgT7tMDF93wEZOl6dXT9MG9P+PkVxkPcclGCdqaho9jCN8+U4LBlHH4oIMYlx2hG021838HMteDbFVTdJmkIvz+XlOHh1ioYapmEKbxAwdBVsm1ZLDOkVEsQuAoVVyOhpjEsnaTu46dTlB0TL1BJiAc8WkrAhzI8IqyWsQMVvVqRgUOKZuHXQvTQRdUSFJwEYTqPXvFoSXm4RVd+NoaGTk3PSvC15qdwPENKiIVM1zQ0Eu4EeVWEdDg4mklTViMv/P40lcUtKi+Y18pDj63nqz+/nZYgzfBU4XBCehjw1NCAfMBmZUxa57eQ6ciSUwy88SqGr0rPVZEy7dQdmfAr/pXCOuue2sJ4qUy1UuWiE9ZKJmYyl6YlkWeqVEUIkwUzMKwHlAp1fFVhYLokWYarO5fz0BNbEfCcYFkqgq2ohTy2eydz+mYzONZPcbzCroOHaOvNsG7HExjpJF/86Q9Y2Nksmf6ZXI4b/7CekztWcM+ND5D2dOHY+pf68+X5er7+SyueiPunKvpjXoAEcVlQnOUUl8A2VlyWFJ/gNxryN7Lr4gBftM9nwLnbfikZaWJ/UUBCBO7EgZt4SqCYZIl1xeRfLBe1Sxyf+C7AwWgbcdlTvG3R5Eps6x35dz8D1In9xJkUMwVcREmxEVMrArZE++JhD3Gpb/wcNJ4vASIKpsdzSTYUy4hJ45EARfF6BGqJdoqf41LhRhA36o+4BDQ6BzOx1+LAm/hZbD8CEeNgqDg/cRAsmtDGAyIaK5L5RteKYHg+kwIZSzsW74n2xoG5CMSMLx8/3vhrgv0XMVuia0ZOhBvaJY4tLnGdaZI+kydjI7gnthst0yitjeR+UcVBULFeBGLOdG3Etye288x1/zRIHi9xf4lt/0fkttH1MBMIIPbTCKrEGZcznes4kBj3zxSvizaK61tsV9wT4jXxPR4K83z919b/dl+9v6RnYwTuRWm5z+Z9d03Dg5TGMbqRjT0TAB8xdGdaN77tI7EHZ7I3iO9LjBEzWWL8R8aFvxjIJ9gitz+5i3EnoCvZxPDecfyaL9M+b73vAfTuo3lo0za6tSyBEtCcT7Nj/yhDw9MMj07RlE2g51vZMzmB74Vye11Lm6XEqCqM2BMWWSWLr7iUrBq1UllOoluaesi1GXzjWz/hsV172H5ogMd37mK6assn/q97w+sZn1D47b13cP2Ge8h3J7hv73YRCcmiOXPYOzLIuqceprtrKanQ4J5f/Bu2B82LT+Tuu26WyYHLly3g4+95N5PDE1JidPzK+SjZLNuDMqqlck7vEnq0pAwPKakudUGJSym4vscFJ5xBwZmkZ343V77kCsycYMfA9GAJNaeyr/8Ac5t7MfU0i3rmo2cSdDRn+c0tt7NtcoTHN29ibksnZjJByrY5rncJperh/s6nfZKJgFxXFwlNp6e3BSVvEBRtyqU6hdoYd6/fwFStSjMWw/US7S0Z9MCgdXFOHsuh6ii2oF25wotLOuHJsIt64BGUA7p6s3JSKCRZbs3FFUwrJaAyVuHEuXPQWoX0TsACKoohkhIDfF2Y+otZZUAmn5LfZbiBKrhTQugbYoiESwMMD3m+d08OsWj+ck44ZplkWQrZWT6XQrFFZociPQUHqiXZ30K6eM4la3EqAU1Wnvlt7QxVR9GrId1NHdLbzJI+VxqViRKppC77b3KqjFUuYnsOV//7Z7joootZvXwuQYeOmoR//vaPSAcaTa2dfPg1r2K8aFMqjdLekuYPj24hLJZoaUmJKEgWtczhp7+4lg+//yoe2byJh59YT2dznuOXHMXX//HvObC/wkMPPMyDW+/m8hddSqopyc++/2vpxZZM6dKY3kwlKFYcTlkyHy2lIkSHL154MtkOi97ZnTy58wBFpUjH3Hb2Dw5I+fdrX3O5TDX+5Ge/xls//X1W9CxgcV8ni7o6wEpw2lEruO7Ge2lLNLFh3V4sPcm4WyGd0zmwbycdfd2csGIF6zdtJZVv5pEtO/BFeqtWp6WjlYFqhVxLC4qnsm3Hw+zfOcDqBXO5aM1qpmoard29nHvSasnsFP6S9zz6ECcdfyonXPE3PHLgMVRfYXXvKhzlsNw0354WYZzUtDqfed/7ee3ff4aRJw6wpnsR3/uXL3HqmlNZPHsFwxOjOJ6L7yikUmma25t5ePte0lqKE5YtkNJN8Z+i6hycGOKenfs5efk8Rqdstu8Y5J4n7sYdEam7i1je10tvS5q2thzv/uA/ypCHG353HV1z++gVIGf/ASp7djK5ayNtuTbIprB1i0svPJPp8SEOPP44Axv38dDvb6EwsJ93fvurdM/K4DS389Wvf4qr3v9RKoHCdMnmnKOPp62tTfrdjSouCUtBNVRymTSaakgvw1qyCbUmGK+QaG1GV33S7Xk8J5AJuY6QoQvwRlHRhS9bXRGBqZhJUN0aIt/DUxOEVjuaZaAaLm4plAEijmujGCYpLY3qVvACm7otQHMfSw+pBkkJuNdqCo6XwTeh1RAxqkJWOYlbnsZIWqgUSGbzUmIrgnKEhaVTnsat+1ipZnxH5LsEko2YSSg4oQAbhaemuI8TUrLtpHIkNcFgy1GpC987n0QqJ6WlpmD9Ac2GLlmhjudgqjaO62KlFapaBifZjh9k0MM6ldCg7ipyLBWRE2IMMBQdVTOk0tOTbdQIQ1VaOqiaK8NgApEQ7HgoThGhb04bSUw1IHQ9KZsOtAy1qSKphJAL61KOLbYdYqOpAU4gGHpVtLSFYSSltFlRBKtYhEBVpZ+jntWoByWqboLapAikUVB9j3LgUXRt9HweR7RB9TGcKmZCXItJ7KqCI5LQbZOMiK9RXMmGDFM6jmtRqwt2p1C4+ihJJBip1qck605LJMi0tGLmUjihiq9rJCzBCjTQAo++thwnpwJuuvNedh8YlEDtTesep6ezjVMWLZbAWs5MktZNEqGB5Vm0tDRLC4VCzcGxFNwWId1VuPFHt3DOmuNpy+YJywFJX5OepQtmdbKgZza/vf9BTjvhOAqTRZ7cu5dS2ZHjvbD505La4XD1ikd3e56w5vPo3qdQxPgm/PTadXpSebp7O6UX673bH2agOEalVmekLK5HF9v2eHzrJt79mveyb3SaS048g/f+4ycItQRuos51P/8Gr3vFZQQizeT5er7+h1Q0KRbfhVG++BKAStxrLioBfDXKbeJ/+McTVeNAXxRqELG6GllGYtIdn2RHkkMBmMwEXEmArVESGcnynpb5iQl+NJmJAwXRRKdx4hFPyRXLi+MXjKKZgjSeAYQavNQiBlicqSeAFHHM8UlaxG5snLQ1+qzFfxbnJVom8jhsLPF6PFQjCgSJ3hPtEkmJ8b5orD8FBsaBLnFc0bH/Ka+3+HU0E8ukcfuNP8d96cTkOJpcRtdNFBQRgXjxyXG0/jMsuwagKt62+ER1Jhlr4/LRz6IvIvbfTCEaggk6E2Ae9UU8RfdIy4h9NLZnJilt3N8yHhZzxPsltk9xb8Yn/YKNFLEfoz6O92/8vo3211gRcB4tEwdp4ynHYrvRcvHjisDKmdiJ8X1HFQG+jduKsxijPhFBHEcK43i+nq//yorAvUaP0M/OAIqJe7Lx/o/G8kZmefyhS9z2YiY/0cZ14u2Ib0MwjqOHZfEHLPH1xOflkawG/lyg7y/myfez734Z3Qy49p57WdjRxvbiOLPNLMVijYLr8OpTTuHn2x8h56hkwjwLu3OM14qMVssMlSpowjxefZoRZumoVY/OXAe2VyMbKnz5G1cDJSjt5nu/vR7LtahXPNqzac4++yTC+hDfeuQh3n/Gu/jij39MPqdy2atOZ9/eCp/+/I+oWAXCqsuH3/x6brjnPo6et5BLLz6D7UMT/OjqW3jPla/lc9/+NtNVlxecu4rzj17Gt67dwPyuHIW6w+qVx/CBb3wBTVX51cfeT+vRx/LAbfcR1mt85uqfSYbGkgXdbN12gIRhkcwlOKq7m3X793DdF/6dj33re+wcOUDoB7gpyPsmHck0+8cm6OpolYmBqXSGfGcTE3uHSCct2hfPkWmcBzbvkommyVSWns65TI2MMFwYRMtZuGGIP13FCRTmrO5kYO+Y9Oc3HV2CAJNDBemFNK24zG7O0HvqMia39VN06yhVnZQK41M1posVzDYTNQywhz2sOUmaAoPLTzudb95zmwToBNBmCm6HBxXb5p0vfQkPbtrFozueQjVDQls7LNMVYRtipmeoJDJJ7FIN3w8I7VBOTB1BrREyLguyYuJtu8zt6WHbvgNyIi9YaAIMK00VqLuuZI1pmnDnUyVoEoQhJy5fxMRklYNTY3zozW9mxbK5XHbVB5nT08r+sWl8x2burNmsnrecW5+4h6RvYrZonHf8WgZ2D3P7xo2cf/bJrF//KB2pLLbiMeQWpYeYO2Lzrle8hO/9/vf0tDTj6z7f/tJvhCid73/3agKtzlvf9AE+8IF34LkClAkpOFXWrDmKRckOrn1sHa++8AV885afcfziFQwOHWLV0hO4bt3v8QKFnGHS2jqbSmmInu4FjNULLJ+7FKVUYqRUlMDuigWLmRwfZNlRx3LrQ3fy8jMvYKR/iuUn9PGtG67l7AUrOTheY6h2kPPmr2b70D4GxgokUyYpXcj6QublWjlUHkRVEvT1zGLr3m0MD5Rpnd2KVYUpu4SWVygPVfnOW1/Ke354N0ZOxddCpvZNcvTauTKE4hXnvJDRAzvZMzXCaL2IETaRbM7jOg7V0iAXrL6Q2ugu1k0e4pKjz2LVqrm8/0vfwqna9C3rxB4LGJ0s8+7XXk5La5bN2/bywJYHaVJbOfOkNTgY/Oi2a7FFQI3wKBMeZKaKU6/I+60plyOVNUiIRFeBlPk+h8aH8EsuCSOPbTu05pvYM7yX15x9KuP4LOpZwPw5nTJkYdfuYc5ZanLDA/uZcAVjdVQyw9yKQz6XpGBX0QKT9pYWcroAamBysJ95vX08tXsXQzWXbGcPZkpHc1XOWjxLyqFn9c1jYLifbDrHodFxFi45mi2PPEw+n6ezo52nBg5gk6Epq2N7upQymnpIqOdR7CkS2WZqNYcg0FFU4W9ZksC0QPdSJpRqHqamogYujjCgtEUAg4IpgCAhQw0DREZNIqFJj0fB2hMAWFgtifhrktSohikZCuIGCXSR3Ou4OKopx9l86OB4KqGQmoYqCUswqzVMxSYILezpAsneDPZEAS3Zgun7FIUkNZcmQUWGYoSuI6WqrhegO44MgEgkFCmRVcoBJa+Criekz18yDLGNJNTqsv91xcIT3neKQ801UKpTZNoS0kJByNGFn5tFSDkw0IR1QwIyZpJqpS7vI/kwoGaTTKeo61l0u4Dn1Em3tmFXPJT6GFVyWFZK/MmNJh4epQIMAuqOQeBUCdQEyaaEvPdsARjaFQI1LZl4goaotagIvFANbdKaADcDamWR9h6iCv/GnEU1UFGKdbTublJekcBQccpV6XvnhgH5VLNM63VDDcvwKJdrZFuaKBVKGBb4monh+xKs82jGU8toiWY0q0RzJk2h7BK6ZTK+R8VoImk48sGLeDLR15Jg/YPrGStWpIWEYOiKUBkh5Rcf7MkmS47bVkWTwSC06lRrjux/AZqLhzLCakE83lEslWTGoD5RRzMFs9OTDMDDnnqqDMdYu3Ql67Y8gV8PDjPyUvLJEEotwGiz6DWbKQQVypqDPejIRPRQ7EsTn+0qTckUJd9lVd9ypqqDJFCp1xx2jU5IxmtghDLQJSfAS19lQe9ctvbvotXqZOmcTizFpH3eHL599U85b82xfPRTX/tL/PnyfD1f/+kSQJAAhsT3Rl+deKJtVHEmWuRlF2d3NdZMabdH8vqKXhfAggAGni2VM9pu5KcWZ2lF34/krSdej/txRf5v0YQoSgdsBGXiya9xCW6jn1u0TKM8dSZPvrjfXJRKHIEZEVAjAAlxnFE/N7I2xHoRwCr2KSaNkeQ2vuxzTVN8NmlwHOhsnAw+23rxfUdgkTgPjUw1MVEUQFvcMD5ar9GnMTo/UeJso6fbn1Pi2oh7N8a3L99/Fg+/mXyo4gmT8YTeI/lXzeRv1ZjgG+9nsX1xn4hrRUzAI0/DmdoSB96i6zx+HNG9Et3PoqLtRffTTOnF0RjwXCq6phvbIoCKeOp2vJ7NC/DPYVo1JmLH/QHjPoHi5yiFd6b6fznh9fn6z1X8vno2sPrPrWuew7j7bDLdaMwR9WzbiT4vo5rpAUj8c+FIPqP/7Z58rymXuPOhh6hWbSmtnGc1yfTG8XoFVw3YtmMPf3vCacxKtLFq5VwJEiV1IesUMidVmqMLdpPwYfIO1lE0hVqiTD10mdvZyh2//RHf/MZXJOvmLa+/nBedeaIEcsanpnn0yU2kKgFP3b+b13zyKt556THSm+tbP/gddzx2H0VjkjeedwFveNHFPNl/iCd27ydQQn634S4eXvcIb3v7Reh6kYJdwNGKtJo5DlVdPvSJT7J+23b0JGzfu53Wjhz5VJp/+uLVfPLfvs5nfvAdPv2LX8iJ3MLZLezbNcziRcu44IwTsfWQzr559KZz3HvfOv7tUx+mWnap6x4rmxdgV+vkMh289qIXMKdjIZOlEsfObaGtDrN7epko1pnYt5fHH9rIu179clQBPtUrhPYEejpBJpfibS++gpSqsvLoNeiKwuShadK6xZJUL4kgwfy2Hi456wTa83nWzF2C66rsuXsXpXKIYod0ZHoo1l1Wn3Ki9PETTB2rbpLqSJDQLd729jfwjftvPyzDAjRVk+mV9YRPqKpcf9tDnHbcosMG7kJAlxTMnlD2rZDthk5A2lYluKcL2SIKdhig+CHJbJK2XJYTlhzNGatWMKuzk77OebS2N5MyDXRd4cpXvYSUmUIzdF581FEkmsSUX+GCFcexbstu9k6NoqsGn/zRd/mbD3+S5qYMTZZBXk/T3NTCdKHMO977QerC5ytvUC663LzhEe7evBFTV2gpOVJONuX4DE8WOXPRMaSrYuJq8IVfX0elVGdb/xBXXX7501d5G29+67slwPfm17+ayuQYY+4kexhn1rxmNu05yLU713PBmtNY2NZDJpFjaHKUh7fu564N97Osc55Mpz3hmBU0Ndclw/L+9RuoVyrcse4ObnzsfnxNpbWpjacO7CHEZHhoH8cuWcPsuYs4ZdUafvGHOzhh3inM6sxLIHh50yze+L6Psac6JhOEVy5exFTNZ3h6iInCFKaaJ6ka7DowRjLZxGnHLsWvKCzo65HMuSX5XowmC2/eCiamppgcnGRqf4F8PsehXdOcvmIFfXN72VoeoWbbWLrOhccvlnJSAb4u6F7JlX/39xxz8lkyQXnNMStoyeT51Zc/zw+/8CmGd00wVXXo7c2yft16Hln/MMcdfzwdbXNZvWY1nmuT0OoiZoVEmCDTLpJJQ9KBgyHkj5aAZETwgggq0CVIHqCwZMEiwryBlxZej770x/y3f/4I+db5ZMOQdU+t48EHNtK/8wmRGcB9W8uYesBR8wUT1mPfwX6qns/WsQH2HyrI9ffuPsi+sWkmJqZIZdKM1cr0V0KaU7oEQ7y6Kj31io7CeLHKxNAhhvuH2N6/n3KhxLqHHiTZkmJWZ4cMIXATreipBL6rEJoKubRJmGnHFymw+SxVkY4R1FBFRLW4Y8IEqqJjCHM830cPAwKh2dTdw2xYgesIiEq1MATly7XJpDV818QQrCaR8upCXYBUighVSaAK1p0wnpMyXkcy3zKqI5l15ZqGr0FouKQ0B0/4BCoe9bJg3akk0uCMTNPW3UoQVnEFwJhQSCRr0qtOBJaIcVZzffxKCa01g6b6kk0XBCoVPyCTSEsJu8jkdRMK9rQIvzgsvRaBHE4g/PiKUj4c6qG8P4Tc2LA9KmWVSl144rl4mgj5EM4OjmTzhoJJKMKN8ikC30X3iuiWRa45j+0HeNVJgkQrqaRPKExCdQM9rRNW6xTsLJ7wUmyyJBPaqVSkLYTwBcw0d6JbPoZgZKp19HodnSqKYeG7dTSjjVRbE9mmLMn2FhJpi6QhGJptmMUBzHQepsewRHqyqZJNN2GHNkHKkmOaSE/WTQ+3HpJLCDavjiok0GYaJZMBoy6ozVjKFJbjUCnV0DWdpNVCPd1Cqj2F0tzB+Qu6+NKV53HTrXcyVq1JIE8AaSIcp31OG4uPX8jisxaSKhmkagb1ZEAh6zIlHgi5HmJx3xd9cxjgM7I6Z65cSW3SlmOs67pojqDmKSATvzvw6z5PHthGIDz9RGCH+FQQl6YdEGoqXtGh6FcYGy3jDHvc9rtfHOZtCzBQFaxL6G7OS0/Fx594kmSoUC7V2DM+KVmh4lNDGDvqZZVPX/XP6IZGb1svl599AauXLCIwIN/Rw/XX/kGmwzvPq3Wfr/9B9Uyqawx4iDOWZgJLImaamKwIhl4ETsUlrI0T9kZ5bQQc/FFS39OvC8AqzhyaaeIeTdYj4CvO0oq+N0qcBJARAX+RfC9KzY2Wi9IBRUUJuI0stDjrSshxn2nTEaSoouKAVeP7Efsr7pkWZxxFzL/4+nEJaRzgi/pTtFt8iWUixkfcH/FIdaSJngCSGlmQUTviv8f7Kd6ncSlulNAafz/at3g9ziSLM0ciZuczEtinpWeCtRhnlzxbiuP/cc1Fqb0CGI7dA1F/Rh548baIay6+nUa2aXQNiWte9HkEYkXbjLY103XSmIAZMXDi7NE4g0+AZhHwFF3PEsyKte1IcndxHNF9Ke41ERQgthUBfFG/xNsVrzgo+GwllhH7bVxevBbvm8Z7OGpn/JyI739KMhlnFMcrvl0B5v2pIJC/ZsLr8/V/T4nrSATyxGW58Yq8ORtTqK/5E6zqmXzzGtd9tgc6cWb4kR6oRa/Fwe+ZthmNS/F15Osxdu5fhcl346++zQ133Un/5BRGxqAv08ys5iaGC9Mcmizyj696pWQm/ebJzYxPT3Jc1xy80COjW2weHKPklAlyOvbBGumOBJ4WQFJDcT2OSXdyzOrjuOfx+/noO99CS1sAZjOYq9m+4Xo++s3vcs2Pbn6mLb/87qcYGq1xsDjAvNY5HCoMsKx3Lv3Dk5x9/CI+85Pf8LLTT+eG7et4+0VvZHD/VizT4tYH1rN88SJed9nL+MC/fIXVaxbynvf8C4N3XMNVP/4ZrqLIZMwzl81H0Vu5fd2DBFmRbhrSoTazbMkcHh/Yyq+/fxOf/eRHuP3hB8n0ZnBth/dd+lo+/aufSTmcM+1IQOnRA1vwHEVOulYu7iafaaUQ+Ow7tEcCZ04ZlvT2sH2wn550lrm9HRQmbMZtl5HqOO2ZlGRjVOo2v/7BDbzv79/Bu998BR/51peo2wrFkUn0pMm3PvrPvPMz/4qvhnICbCkqqbxJue4ibLEqVYegAlZWw6l4BA7oWYWgEkjvvepEDSOl4wlzdSfgrEXLeLT/AK7v0t3XxejOIeoJuPCiM7jl5jsEFiFBW7F8pi1HeaKEago/PvFOSEeug6F9QyS7Msxr72b73j1ohjC5VyUooToW3W1pySiziza6BrmeZvZsO4Sa1mWC7ODElEwPntUzWzJFvvv1H/PxL/wT257cJmVgQnJ3+rFrWP/UToYrk9IrylR1nISP6ofMae2gvbeXA/v3EPgqScWiUq9y5UUv5jcP3sP+8QGcwKfZNzBaE1xx/ovZe2g3a+fMYVNhgp17DtBqNZFvbWF34RB9nb10pZq44eZbyeXa+OY3v8e73vpGXveql3LNdTcTpFX2Du3FK5kctXQOQxMDFKbqLGzvpp8xKgURtBDy6tMu49p7fs/Sue3ohi4ZnssXLmbLrl2cd9xqzn3tlXzk7/+GjQMDvPyUC+if2EtxYorOdJaxYokxv8I5R69h++gwrpAPTlSZmiywZvU8LCvBUzsOsnjObPJNDgcPeRIUGqiMs6RtNsND49RSdc48bjl3/H6zTNJdc/JC7tnwBGt6FqBZSdKt8OEPf43Xv+tNqIrKVz74ObJt4uIxec2738KZ81fR3dLFitUrePsnPoGipvnb889gsFrnDa95MV/54o+ZtiosaJ+FmurEr4yihD6/2nA/SjUh719DN3BqNolUQjJDZfJnSpXsokMHB2lqzvG2V17B1+6/Bn1IMIGq9HR00T/Rj5ZLcMasJewcH+IV517Mjl17ZUiPHvocs3IOodrGzt1b2b5tJy84+1y+/dufoxom7ck2poolDFQCHdrTBuV6ndGpcY5ZtoJN/eNYIt5WJMbWi/R2ttPVs5i719/Fgu5OBkenmdPTyfIVK7j/7nsoCl8zPYntCeDucOqomrZQ7DJaqpV6pSgl5CLhVvV9PC+UEnXcOqrqomtZQiUkkdTk/SmYjQLr8z1HhoAkEg4aKRluovmC3VpHTaok9Fbq5SnJvBUeaJ4ChmlApY6SSUuQVClVCAX4qOoonlDbqgQ4qG4g+1t4pYrAG8EAtOs+iVwSu1gllUpQEwOFmySb9inWNQyShxNkRVKvJUIfkGw3kWLrlMq4jkK2u4mgUsU2EpiqhurVMXUxbgkfSgO7KgDGOqpSBzOP4rmSqSfGfiWlgW3jGiY5rS4Zf7ph4eppLMvFs21Mw6JeqmBkWgnsKUwzQWi7lO2alL+GukVTWqNer1J3dFTTkg+WBJAq/AkFEzqZ18gYrkzytd0qZjInzhieW0PTmgiMAqqtoaVCyfijIhhzIvW4jGJlSCRM6VdYcQIShk9V+CEmcwS1okzsVRMptOIYWjKHlfOo+oLZ6aDZNnWrE1OzCeo2ugAjVQ9bMaVMtzkh0npdqlqClOFz6fx2Ht62lXLF57iV87n2/o3sGRyW4ReCNZdqzWAlLDJWksGDI6gioMcLUEU6sfg8FZ8rE65kWguQPqgH9HW2ImwSC06dwrSgLYph+vCDnQXd7RwoTB6W4yoC/BP+jhzuV5mCHsrvrZ1ppsaq0oJBAHuBHYAujRNRBXtVfCoEIeetWMZ4tUg2lWDDtgMy6Tp0Q045eo78vHhEpLqL50WdJvnQYHKqKn0d1dDn/NVrueH+deiqgueHnLj4aP7tS9/6S/z58nw9X/+pithPjawz8Ye/AErEpFj8gf5T9/I/moyLitaLWIDxmilJND7B/nOZVhFwdqT0UlGNE/Y4gykCLMSxRAzBxmTN+DFFxxB53wlpbCMjIs6GijPsjsRkmIkVGPWNAL2i9aNtx9syUzUyvKISgJ5ob/y96DVREesrzlx8LsyQRrZjYzWyBMV+4r5NcSZaI8Oxsc9m2n4j6+RI3lVRO+NMusY6Uppu47Uq9iUA7Hjqb5zhGrXjSMBuY/tmWqaRude4vZnulZnWEde2kJ02XtNRxRNn5XoNLFhREZsv7m14pD6M+uZPVcQ0FPetuM7j68TB6ZnGicY2NL4fsYLiTLyIkTxTum+0fsTYizMV4330vyGB9X/L/v6313+2v8Q9OfDNE+TP0WdoIwNa3BNR+FO8rjlC0nk0Fh5pHH6uwR3PJWG3kRXc+Hr0mviMiaefz9SWvwqT75JX/A0HSgWZpnl0eyddTTmmyxUmfJvAhHsefJBDis3QxDiLumehiYm7ZkizcMHMMdU0i9Md1FWX4mAFLxnQJJhCmS6ZBFstl1k5fyHX3nIv5176L5z74vfxwb+/kqt/fQdzW2fx9re/mT/86ru89e0v55eP3svfKz5tVo47N23gyW17eWTnDnpnd7BvpErdDrhp3TqWZXv4/rU/5sH1T/L7Rx7jotOPY+6cFq781D/T051jeUuGz336w/zjr36JKxkugtHhsmH7Hu54bJ30GbKKAZeedxaLl8zirNPX4E5rvOB157NzZBfZthTlqTpL22dz/+atmMK/ygE1rfHA6BayZgbbccm3pujoWYTiVfHtAi1C3lUwyeo6I4Up3vCyy1FSeewwQefyHGeetVbKngr1Osu651L1XK566zvIqQFXfeXf2LtlhMCzWX7CCVz2grN5+yf/RabgHrtiJbOyOV52wko60zmuesnlZASzRMij08Ig3kDLCr+44LD0S0gmJ+skAx29EqIkhM+WwkN7dxNYPmvmzUOfLOMmArIZi5t/eycZK83cjl66Mi0y7ffEZfOZ295BLpUll0ugBQqpbIpki05PTvhfhSgZDU+gEaaCZ/u0tRoUqg4pU6MY1pgq16iUp6WZv6CgCAN4ywzIZPOkjRwTwTSf/epHWb/uYSpBTU6S647Cg5u2yqCMtKPR1p7HCVzakxnWLJjHUXM6SQUJejpms3jNLJJakpNXrGDL6HZct05XVxc5y+LUk9fiTtawagdQtYAd0x6lMYc3vvBCpspjbN+/m+LwIPfcczc33HsL5590MjnLZXjnemq5Ct/4/q/43N++iy985puctGQFr7jgHDYP7qJYrsuvJ3ftwZt0OXPRMqoTNlt2PsXKRQvYvO8A//yRr9OZb5eAy8qVy5k1Zy777trAgFNh5ezFDBQHyXs+C5euZMrWae+ZQ2Ha5rp165kcLzMxWSevm7zt7e9gQVM3O/eNMa8ji+XXuPfRfQxNDrJ3+CCz21NccOGLGRmfoq+9g+mRKq+84gzWvmQtFdMjK0zhkkkODQyyZUs/u/5wEy88bim6keCdn34fWx65n89/6utUCw6LFi0j3dbK2z/6CXxH56bv/D1eexvT5QL/8O9f58Ytj3LPg0/x49vv5oF19zAxVuTnDz/Ekt6FEjTUdV0GtJiWzHjFd4V/m83px58oZbmhHqBZCj/47c/RDkJHa472jha27NxJdbqKXShTdkVAg8JZL3wVfV15Vh3dR8nx+P09j3HHDTdQKRRZvGQFo+VpXrb2BAYGR2UQgACepguj9PZkGRJSStulO9tE/75B5mcsXHzahaRRTVB1U9x9160yPXdWRxdtTU0EisLDjzzJRM1myktiC4msGRAKlrKQOwqVum6ihK5kvHm2QybpSTajpblkLA/VSKGJiA41R8705fiYSrdAVcMNFRxbkYmroZrE9yq0NWkEpo+WSqJoBrbm4ls6umHIdFbTNAk8F1fR0CoV2bfCflM8XAhQZeJstViEui/lkjXHk8w0XwmoVhWZBHzYJy5BVbdQwxxBYFOoqZjpNJ5XwNRCmlIquhPgKj7pbEImaAvJrZnW5XkTTC61UgTnMGuxVBHvB/I1u16XDxvqQVL2i6KZKEodPWPi10MUXT8MVIpQE0N4nQpyYxm3qmGGNpWCjZFKkVDqUvocehVSqZBMe450UiOTCKg5OqGeoSljYinCd7RG3fNIUSbdJXz+FMarBmoujSblvS5BqBEKKa4hOkBDb0pQnfYxFQ0PjSAIyVo5Uro4nyG+ZqGLNGjNIp8xMLIhSpNFvVbACEoIl9iqkF7btpTT2jUftaULS6uQSISk8xqhYRCkElI2r7oiydwnm7P41vsv4IkHH+BDP7qW323Yzp2bd/Nv197B7kMjkuEpGHeGr7NgyVzKE2UO7h/CtT0JyAVV4V2n4k95OOOO9IwUuu7ZyVbJoDswOMnA1KRA7QhVRQZumEmLFX1zGaxWJOtPsLLFdaAYIa3JFDnLRE+oGAldsgt7Es2cc9QiVFWjpTVzmJUv/gmgT+w+OBzMkUxZ8j55YNNejp03m5OXzWdWZxMP7TpIPpNgbnc37akUzSRwhFrYDcgaFql0Ct8KOfHoFbz0nIuY29pGXTyNer6er/9BoRqNAJ+YWEQTXzERbwT4RImJu1hPTJYjNmDjtqISk6Q/Mv2fAbSI6khebeI1AUhEgFgjGysO8MXfi9IKxZcAHMSESkw2xPJigh8P5Wj0XItktI1MrTj4NpOEthEIilfjsYv03wj4aPRSa/Rpi5hlEUNPrNcIBIoJoQAw4+9FoJ/YdsQmiRumR+9F+4wbtUfnOi7zPFJQQ7ziqbON3nrxcI3GbTV66UVti/dBozdV1MaItSbP6RGk4FHb4szCqMTv8Ql9xK6MAD5R4txE7L5GULaxoiRaAaYdCQScySdrJoAvam/EYIwYMhGgFflIxtmace+7mRJn40y+COAToMYzEt2nvTEb70nBqDwSSB8xlSIwMdpPI8AXef/F+z5iP8Zl+/FQnaiitojjjd/38p6OpTPHv0cJu9FyjUzF5wrw/aXTYf+7AbfnAb7/nv6KfCQFy1iMv+Jrps+2yKN2pgCeyxu8V+OM5/8swDfTOP9sFT04iL4a/QPjiezxFHbxfsTI/6sw+a6/5Sv8/q5tTE8dYk6+BVPTpVxLTH627xjGbDXIJy0manUp0e0ULIiCQV9rKyVcZvV2cs+Dj6G2awRTAWE3LPN72FsZplPL8I3v/5xC9UHuuf4xXnzF38p9Vrffwuat2/jsDXdz4Znnct09v6c71c4nrnoT3X3d7N6yTZqQT1QUXv2Gd/K7n35Rgmo/uuMuWswsXZ1N9HX0MTy1h/GSLRVxtWKNbD7FJ/7mcl73iW8RGiGaLtImPZY0d3JwZFzKkZWExaJ5C3jTGSv41aObeOVZp7B5+x5yvsmX77lNpkmKAAvBqEknTN588Rl8/+4HpJG9kK4KmeEyczYdWYvjF/UybpmMjU4JbgV7BkYoew7DAxOgBSzPtjEaKPzw2z/lPR94H4fG99LT28vqJX1M7+5n3rIlXH/vLpxKPxeefjZP7XsYw+9k58Ed/OCDb+EnN6xj08hB+jp7GB4e5N8/+Bpe/sGvSCZHVuzXrpAPUowPl1B0DdXyZcKxmHmnLBNbEY6AIWHdJ6iEzJnfw8DAMJqexMEW5A18xZe+TMJXsTufoeJBya5z2dnnsuHRJ6grVRzHpaWpnanpCrNmZ9g1PMbq2Yu5f8Pj0p9PTET1hCYnpaKPhJTNrvjMb59F1avTM78ZqhZP7t7Gwp4ugppJvhMe3ryP+bPb+M6XvsHL33Al09OT5DtTlAouXdkWpvwi9XINPVCZnc8yq7edQwemGA5LfOz17+J7114rJ6SuU6e5PUdtSlCmbJRmA32qRrajk/VbnuRDb3wd19x6B/2FUd568eX85O7fce7SY9gytIcFnfN44sA2OoweGSywaEEPe3eOcMyqVdz74J189psf49v//jOZkjkwOciq5Uezd98A2ZZmMppOQsuybe9+mrvyXDJnLd9/+BqCus4lZ58ogbClK5ew+ZHHefxgPws7+jgwNkxHXx9vPfsi/vUHP+bc00/nvvuv4+9e/wE+/Z0vYis1aqGHVjOZ3d1K16xe3nnVP3Lpm15EYUyk4/p4ri5DFlo7Ulx43AncfM8TJLMJWtMJ1p68hmt+cxO2r5CfZdCebGXoYAnHL7Fw6Sy+9Jkf8ZMffYGndu9jcaaF32/ZwuT0lGT1CB89QpWPX/lW1j32EBdc8AJ++ttrmdWRxkiYrDh6LZ/89tdZ2tzG4vkLGZue4uF926FmUimVaOlsISF83KSTWYWgrpHNZamXJ7GSJlq7xatOeyFf+91PsTBw2kyMKeGLWMQZszljxdHg1/nYZ3/IBz90Jb3pDsbG+1l69LFcfO5pfOar3+PTn/sGP//+Z3FrHiuOWsSHv/ZtVsxZhOHa1KoVqo4Ia6jTLFJvEwEpT2XItVm9YCGjB4cZr5To7JjDvAW97Nq3F7Ve5tLLXsrVv7mOIT+DJcaNhIFT8iUwohkWWlgDNUUi61GpW6g1Icl1Ech/zT2cwmtpCpVCVTL/bEUlnZF3KY4zLZmM9ZKPpTjo2SaZ+FvzFFTPx8gJb8s6uqnh1wt4oWDYiX1UcAUgo/lUqw65VA4MReZlCOZYENYkq61acQiTzYSBI6X8cuhKWnjCC09Id1UDRati6SJBOiOTbQW4R1KnWM5hqiUCI0lCpNuaFrWyCPKw8OwAIymCO0oEeg4ttHFLExhGHj+VQA1sioUaSXH/Cz9OxP4shClhteyTTvlUK4q0bwiFLLfuEqYEI00AqC6V8Rqp1iY8wfpDR1UCMEJcUuheReJfoa5QqQfkLA+7pmBoSfzAwRNWEYkUjkjVTZuotRIkLMK6QyDCe/Clj56WN3ALIa7ukTcVnLqQGockm0x09TA7TnEquJ4AqQ3qdgVNfAaqKtWCAB4dQqeGlUpKeWvNt2Xyum4mEJnBYa2G1tGB6jn4dZ1kzpVS33lJjfntGT5/9e2CWHeYhakImaz45XBwiJ5WUdzD/SM+K7xKII9XhECJrhDsPXfSQ3SpkNiKtqYxKJfrMm1XBpeY0J1t59D4iBz3RaiTbhoSfBVSYfF5J0DEF51xGo/2P8XoIRFqAu6UR29XjoWt7dIn1VJFEm+AJz47ao70Ny1VqjhhSNV1qbg2rzxujdy+H/jsmZrgqf5BTpo3R9A/uXXLTmpKIJnZvuMzu6OVQTGmeAGaoXLZWefxu/vuJhXq8oHPshOW8tGr/nyvoefr+frvAPnijLfGmmk5wfJ7rXHNMxLbZ2PpReBBo+dfXF45E3Po2dhMR2LiRayraPIeB6nibYnWm2kSJMCMCCCb6fjjbRGTtShFdqa2Nnr3xY8p8mybiaEVXz5eYnuRfLBRAjaT999z8dkT1eh3Fz+n8T5/tjqSH1P890Y2StzTKQ6qxdeLM0yPVEe6LsREM/Lcm8n/7tk8JP8c5mmjN+Sf8/5M10m8ryNmanQtR9d2nKkqKroXxe+N1310rc0Eaglg7khti/ozfg8fKSW7sZ0RYzDuFRlVXCYYgZXxvpL9MgNgG/k5ivpTsttonTigF2fx/TUYfP9V9bxv4F+378V1/lyAtr8Ew+79z2EcjkKvZhrj/1QdiZHeaGvwXNoYv1f/W5l8lRGH89bMlr5ogwXhb1eXCYii9FaTqYEyRy9YxkWrVnPJsSfQ295LzaoxUCgzV6SH7j9Ax4Icvh6i9qj0KM0sO2YO1VIF3VT40Htez1V/82+4ns/NP/sGb3jzJeyfUvjV/U9iCWDIg7e94grOX3sso8PD3HPXBgo1n/HJCnv6d/EPH3w9riEm1CoLZ3fSYZocGh1h8tAuctlWAkMhiyLTWQ03yWd/dh2aHnDJMafiOD5z8y30j43Lya+T0wgMl20HtjOORrF/ipHJijTJf+Fr3oCiwVFzuqUkSktppPNpfnbbA8zKpvjiVe/ADwIUR2F4Ypgn+g/x3XvXc/0Nd7H7qd3Ux22OrmhcfNrpHNXdydKmFkq6wqyObv7lE3/Lll2bqdh1Duzcy7pHNvPQzkF+c8/d2No+nIzHd39+DRt3jGB0N7N4Tisf/+pvZfhHsVzghccvIdducccDT2AK37uEih14KK7KVL1CYpZB2+wmDMWUgKdgbyTqKsa0wpLm2UiMIqMyOj5OZ0eaFbNyLJndwex0niQWLZkkSqBw1pJldLdkuezUE8l2CX8wn7SfZKroMFkqksmabNt5AGeiTme+g6ZWwd6SGjGCakBoCCP/kJeedZbQadHU28o5xy1n5+MHeGL7ZikZHpycYF/xAF5gkMqa5Jua+OpXPiucAclYKdyiTSJQOGZxH6v7VtJu5WhrbqLka+zqH0O4wJ25+FS+/Mtfo+gONb/CouOWy4mulg3RzCwHB0bxrDSlYlEyU797440MD45KttyNm+/n2PkL2XBoL5u3DfD4/u3klA6OWXYUu4vD3PDYOvor46QLWSYdl6bkSrJt7dz1+OPsHB5hbAhmtXazadtG1KECpWAS17BZ9s7P8Olbvsv+sSnmtmUli+bRjZtJBi51UwSfhGRmpZkzvwNtqsiHv/YFvvSVr+GFU5TMBH94+A/MaU7S2tYmPQV7l7azekGOLVuf4Nc/+wLj+yekZ6LrqKSaVRLJNHXfpS2T4TUvPpvLL1iNnrDYP7KPQrFCq2nQEeRI6zrFsICthCyaNY9LXn4+d917L0s6O3hqeDfLkhanzZ9FNp2VHpBXvvw86YPW0jGbg2OTuG6ZfUMDFItlnrrrVlJZnUnXZu/BQR47sBfdNkkmTDq62sBR0ITXm6lSSXsUiyUGhwcJVLBFW/VWfnPzzQRqyOte8nKcAZGY7Ep5Zaong+P68hyJ2ru9n5JX5ENf+By1yhRf/e7P2Lt3gG9/9D2MTVU45aJL+dovf8lJ8+ezZOlcNo0NYGVFUELI4nl9VPWQ0rjN9qEx+tq7aG9LUapWOOP4NRRrBTSvzqmrj2bxoiXSZ2ycDJoSyGALr26TajKwDF1KKUVwiF11ccoWanWaMHDx9BDPVyX45dUD3CDEylj4KZNENo2ZS6AE05Ll6LkhllaDdA7FL1K2hXxYIUykKU5OCjIexbGKDNlQcxlUM0VoHJammlgkUxl8wSdzXaZGxqmHgr2XpCISZdUsYXkKpW7jezXpt2coFTQhATZEOzXUjEI5bMLXBAifIqAZtxiQUAWA7qFVxijVXbn/dFrDcwMJEjkVcayglAsY1PF1AyUdSgCy7qYxkglKtoUnEmpLdRTLwi9MSdDLrgtZcg3PN1EECzLbhJUwqNdrlKoaVktCprEmsyquVyV0yoQ1RTL8Qqci90epRrPl4ZZ1mdyrZESKrormueBMYFoJwto4rm/hCTlwIkEoQkzySSmjro7b+IpDtwCaXU2y1XJpF1wDz3MJ6hUZFpROgGroaJqOUq7g2jXcehUznSTb3QKBRSASca00SjKPJfpATdCcayYVltAUlVxzwFff+kI2P/wIv71tHY9tO3gY4BOydcGqVCGR1dHzhhgaD4+Zmk/ohDhVH71FUOdCjIQhU89FvxsthwHkXGiCG1AsVAjw5WemuKeETHxgchQjp9PT1SLyTnDsumR1C0an2LeihNx47/1kbZ1V82dLkFLIw6c0l1TKoDWX4p6dewW/kbQCj+3r56Htuzlm7mxOWTSXJbPaKIrAlFDhUKmEsJC844md9OSb2Nw/wrWPbZKBINLP0fEl41SkuAuAr6OvWSDArFi0gJefeTYV35GscCb+Yn++PF/P13+qjgRcCJBAsG7iiaZxBlZ8OTFpjwOCf2qC0siYewbUehbgJj6piJIIIzZX4yQkYljFJxhR+yQL6ghegY2sBtFOcWwRC0Gw5yImRmMKrtinmNzFGWdRRQmEEVMjziAT3wXAIIDEOAPrSCzAeIntCYC1kVkkABZx7uKsqUjaG7HiGvssYgb+EQj6dD/OlKR4JObHTOBetH68z+Lrx9kp8X3HPf2imgnga2SBxn0Lo/4VFQf4Ii+qOKAa9+aLn9vGBMnGcxOx5Z7LxP6PpMBPy2VFRde02E+jjFiwMuMy5EZQLmIaiorej44rvnzUvoiVG/k/ziRpnameuS+e9tI8UuBGPL052m/8mBrvj/jyUXBIVBGbsBGEE6/FAdyZAL6Z1plJsvx/E8An6nnfwOde/xlWZnzdiLUnxuTnMnbPdP3Hx7prniOz7k8tG9178XE5vnzjOPenxrD4+PqnwpuiseTPTdWN6i/2V3JxcIzv3XaPlP5kcnl0JSNlloaicFxzJ13CU23fftZt3sSu4UHJVLB0E1N3+f2jj1NXfMYmiiiDHmox4MTj1nLvE4+heUIu5uPVQ1pSKTryOS46YTaf+YcrWX7SRTKhN6z5HLMgQ7pucsIxS+kfHOXM846iI21JaVRHNs/Rvcvwaipb9w8xPDrJmONg9uTYPD7J4jntLEx1cPopp3OgNMzr3/hiZi2dy2lnHctNOx9Cryv0D08QCG+jELKhwRXLV3LmsuXk2lqpGh6nrFmM0FW+9j3vkGymnftGSfWkMByFRNlgfnM7h6plfnv73bRmUyxoasPIaLS3ZJjf101nLkfvnE5WLF/Mkheei12qcNHZZ9Azp4vjFy0l0eSzbtdO2puTdLamOGvuXF54xhl0trVy1MlHozgmlm9y9ElzaGvLsnX9g2yqTuO0ZnB9m2rd52Pf+y2bnxzi0Sf30KxlZaCBaWl05DPoGZEi6VG0hSeTj2IJqZXCVFinpnhs2btPmroLEK5W9ZgYr/HEwCCTTp2dB0dwAosFXR3QrHHTxq1S8nbjExsYO9jPMfO7KKdqdOQT0u8qLJU4pqtPgh7N3TqFqYCudEbKwdRmTUqaBVD6q2tvlyBGT2sH40Lz3aZi5UzJ5lo2d6FQgLFy/jzsgs3ZJxzH0GSN5UuXgB7g1EM+9f53kcu3MjY1QjV0mdPdTKEwwWi5LLiHtPe1MFoaYnK8RN/sXnYIyWfRQTeSnHjiAo5etECCWoV6VfpLloo2r7/iHHozOXZvPYASGqzq6KOnu5PmfA9vOWetlN2dOm8Vf3vFm/nAa97MTftv5Ko3vomXXvECupI5lECVErT9+zdx14b1/N3r3sAt+7cTWiFjI6MYN3ybWXPnc/pRq9kzMcmeQ0OsXLKM/uEyjzyxmaZ0ls3rHue2B9aR7mhhOixy6UtfyIYdm/nmZ39IzTOY0FIEU2VyLc2MDU1x1+MHqDsuD214mHxvDtVTuXjlAi7qm8u5PRmOWbCQHzxwJz++61Z+efdDDBeHObB1H31zO7GtkGxLjjGzjqmE6C0Kd218mL993Wu56PQLuXHdOsbGplCTBvXAJ5VJ8fHXXcH1D9zHaS94CWcdN1+CSr2zlzJbAOhagt0TFc5buBQXDyXUUAOYvWwxgS/Io4ZMDhVMn3Klzsde9wXOP+UEFne30dLUxGtfcTFjA8Ncct6F3PDdP/DTn/+St170Ck7sWsAivZW+IMvxRx/HqqWd/NMH3841v72VR7du4+sf+rgENZ7YvYlMXuXhg/1MTgwzVR5l7eLV1EMT3/Z59YUvYfP0Hga8Eo/t2UuhUqW5NUNLcztTpUkeWPcUSiLLtbfdK0HJ+Qt66D80QN/cLh48NCkIjBLgE/5lqmpQHRdyRxVDCbBdEThjYXsOGFlUAV6V6tL/LJEMsFLCOE2s72L6nvTrq1eEBFbHCB103cNRE9IQTXjWmVaFtKqgBRWSInRCdzBTAiDXoehgOONogi2na9iC7SfYVzUPHZHkncUvC4BRePrVSbX42J5FmEkLoh+JpgQiXDXh2ahWEj0cJ3R1MnpVprT6WkKITzHzzQSqhy/89PQ0yVSSwJ6g4lvoZg6RjqD5AQnTIpvVRKYEqkjUlYtrGOEEiYRKynAIQhMzkcR3a8IUVAZtCCaxZSRJi7AhS/CJPQn8ZFt0UkEdpeZLELVcEmCqhZptFk6Eh5nUapqCk8Jsz1Et17BEwEgqSW0SmpMBmbyGY6RQxZhktUgZuFMsys+aRLKJYFoEHYtkb42mvMHE+DTClrEWJigVxYEUSJkiKEaw+4Qfn4HtTJNsypLSVBkwkchmZapvOG2jJAWg5tCUE0Jph/FiHT3tojanyCd0vvGJV/OJy1bRf/BwEIwI07j7iW3SG0/IXwWQJ3j3TtkHERCUVqQcO6wLFrJgMiIfxITCF7Hskmy3hGUrq2ctI6yFFKo1wmogU3IFI1CwpjUV8lpKpgmv6J7D4MTkYZ89ASzWAnls4oPCShuYTSaD02WePHSI6oiNX/Gpjdj8fuMONuw5INl8h8ameWDH7qcZhypX3/8ojhfQnspzwbJl7O2fYGD/BEPjBTqas2zvH5XBVe1NzTL848RVayWDV9g4zO2dJcG90f4pLjvjFJ7av5vrH78PT4NzFi9GFRLu5+v5+iuXABbijKlG9tYzcraGoILG1yIwKQJQni1tMx5oIdd5Wpr3p1I0o30JCVAkX4qAg0bPnwgwiTONxP7EZCoeqtHYpohdFkkxxVdcthzJdiOfpMbE3iO1O5IuxcMp4kCHmCyKZSIQMA72PdvES6wj+iIuixUlJpvRV7wic/U48CXaIvpFMDHFeYz6Lt7njdKuaFvxdkTVyNIQ/R9NYuPHHA+ziFcj2y9i5D0DFMbko1FfzZQeHE+LjOS7z1xzTxvEx33gngGynw6sOBJLJgr1iAOfAjCKzm8kOZ2pJLj7NEAW9X90DUfAm9hO470m5H6RT14UEhNd5zLApCHwIzrv0XUUSc0jsHqm44rAtT8FtEfrxsNeGkscS2OAjJQVv/d9zxyn6MOoz8Vr8Wu+se/Fz3EwMqr4NRxdE+K16HXhhRZfrpG99x8NBPhr1kz98Hz99QDRRqBc1HNh4cUr+jyLhw0deI6s4T8VvBEPKYqWix7cNN5jM/3cCNCJ8anxnol/3scf2ESftX8u6PkXB/lGKg5nzj2KWd3NZMmweNm8w+ELXkhnU55sSytz25poN1roL01wYHhMBiH4eo7ObErKBzubmjC6U6xZfCwPPLCOkaGyTOabrNap+jalap27H93O5R//Hk9sH2HjT79GS7aDadejyUrytdt+zoe++h32j0/zqS/fwLfuuAelOU13zyJyrVnueewxqrUCbqBy8gmrqY+Vmd0xi5e96oM8MrCNvYMjvP7iSzh27Ys4tm0B/miNrACX1BA1cThN1E4HBBWbA9PTvPnK12HXh/nBd37F8MAga+b38tPv/4bbf30nX/+HN/KxN3+U319zO3bKlhOjWWYXjx3YxatOPZMdmwb519MukpK5pNdEwXRYL/zZQodTj17K4PAYX/7FNax7uJ9UXwu9XX249YA5+V7y2WZ2uhW+9AsRBjLNvkd30q6lqNdcarVQsilqQtp3sERr0pDph8J8XUwCRXDAloNDdHR3EKoB5QmbEaeE74QysdArenim8MGC1XOXoeUF6iAmuyLZ9LBsa3G7RaCFnLx0BdWxMn2zO/GVIoVCDW3Kp1qrMl0Yoyc3iz37J1i3+yAl25begSJhsqW5mUTKZN6cWXRqKcyEzuIFCyWw508LpM8Xs2HOOWMtLR1NPLZjI/c+9BD2mM3s1lZ83+PJXTuY39nH4MQEVsbgWz/7DUOFAeb2tLByVh/LFs7nqz+6jmrZZqgwQjKpUSgFOK5GRocFi7oZLxQ4amG3lGQPHRjCsJPSf+uJ7du48b6HeOjxpzhYHqCzo5nB6SKrTziGgRGV17zqtSQsg/u3beTgwRIVtc6ivm6+fue9HKoMc+kLL+Sr3/8prb29vO9FlzO6bzcvesE5fPU3v+Qb7/sbLlh1NiNBkY9c+UZ+eO1vOH7xEkb3lKl4Dlt27GRxTzOTo5OUiw479/VjNCe5Y8PdtM3q5F0feiemkeaKF76ER7Y+yYvPu5gv/uvfMnxolHe981X8+g+/Y/0jj7FhZz/9u4bYsf0Qm/cMMDhWYNPuURmmcs4xS1jUkuOdb30tt/aPs3x2D/OSTZx61LFM1cqsXX08p512Eu2ZNKmURsLMkCqHLFowF6Pqc9nxZ3LLHQ/wi/tvwExruEmFzaURcnOOojxd5Z3f+RpjoyVe8rLz+NAXv89dT93F8r5WDg4Nsqe/nwlvikNjIxy1qA/Pqku/Lq1ekJJDvdskk9KkIb9gHz21/idMDA9z5olr6O7q4ms/upbTTz6X6UqZD77/bTIMZ8u+TWwY3M5JZ55MNtfEzY/fzdITzmHZsqVybLryNVegZHLM6e5mTk87nV0daAmFTWP7GXryQXLZDBndwNRNfnXT71iR6mZ2SyutbTkZxDM6WmLJ3F6aks3sGikSuhVOWbuG/f0D7N7bz7279vOTuzfiVmvoeLiuQV1Gf4aopgAxfbyqLfSx1Mp1TCOFIoAskXprGtIPs1a1hFEeWqDh1w6DL5oA3KtVFDugKu4TQ/A4Exi1CqopWFlQcVUU4U2mBpTKGoGWkA9OVM3GM3MSRBQJvSLgwq+7pBIaiiFCJerkmkLKUzWcWkgw5pOyXFK6iq0ncAoOhmZR19Oy3YGZxnN9qnZGAsZhvSylpk61iOIb6CKmV7NQFYdUxpQptoE9fdjXU3RFME255lFybFRPw0jqUspsF300t4Kl+1h5Mdaq0jPOUxwJ6FenalRsD8eu4JVs0oYICHGoFDW0ZAYlkZC+gYJxZpOQMk8MU8qMszmdlFGlVvLI5luoiYRXkebr1zB0jbprodV06q4OgrmmuKTbcgS+gl2ZxPPq1Ly07JdqNYGecgjzaQyrTqYtg+CXeYFNSoRlOBpJtY4RqPjlKhUlwLIymJZHYNYJBEAprvN8BqemyfTgDitDJzX2b9zAzqe28853fp6v/fJe3vSZLzGnb7ZMl71w7VqazSzz+ubKh0ia8PoTNgJ5DaWuUJuoEwgAt9mQ4RnCh89Mi2QMmJvuxi/4bNi4UQKGIkEdQz1sIyEkvULa7foEppCTazy+e7cE9LCEIFgj9BUULySTSpJVDRnYUZ6soNQFCBhgzU6QzicwdJWpwmGpuPBWPWH+fHrSOVRdpTud5aldw/QPTEpm4R17t/DwcD+3bN2MW/Gp2DZ23SOfSeLYHg9vfFQCjMIn9v4HNtPRkuWkoxey90A/yxbN4+LjTiSwfb7++3s5MLzrL/Xny/P1fP2HK0p0PRIToDHRtVGyGP0cSQNFHcmIP5o4RIBKtE8BUkQee6K2jK/9o/UaJwgC0GoEchrBtkaT8kg+2OgrGAc0It+gyK8vYp0JYC/yH4sDU5G0trF9EdAQ1UzJrPG+bATLIiZXBMjFtxttJ/Lki+8jmtCJ45zpfDamHsYnpgLgi3svRu2M2H3xiqc/zsTAE4wqsYy4dsR2RN+LPhRsNPG7+C6AwGjyGT+Hcfn2s4WOxCeecaA3anf8Om083njycFQR4PPMNRpbN5L5Rm2LJq5/JCH+/OeeaccfAeYNgFm0jTiAHrU9AqcE6CCuwej3RjluHJiK7t9GwDRqm7hX4qC1aE+UTtx47cZBS7GcuA//KA274V6L91NjNYJnEUgXB9Mb2ZJxb8BoP9EDgEa5dvR61CdiO+K6igBQ8SX238juE6+Lay9i7/1v9Kb7a4GS/zeAi3GPyP9siXEtSthuHK/iD3Oiakx5j15rrEb29DV/gtH3bGy6xs+QI7UjauuRGHdxT07xICp6iBAtH3+YFAfe48cUbefPAfz+YiDfLD2gy1Bor2pM+WP8/u77mB4p8Nkv/ojrN2ykHkxQyee48JIzmJ1uwqirTFfqMsVVLau4Uy5Gwac4MM39W9ZRssvk2y3MdoPTjl/D2lXH0jW7mcV9nRw1u4/SQIXfbN7F0fNX8Ll3vYuPfOfXnLvyeAkYhEmd4fIYTXqGHbt3cc+G+yiOT1Gt2KTTKVqaLO58aB1NZg5TpCwC1/7gD7Q1tbP6pD6+8qkP8+t77+L2x7dTKorJKhieSjURIOIArnzlS3jTWy6js/coOtuWwvRe3vnVH5Bra2Pi4INQ2shE0mD9vTfyxnddxsLmJgzTpBIWWdTSS7/rY80y+cjdv6eeMbnwwuPpS3SghCpfve5mXvXxz7Duya14nkfBn2agfwKt7jKrLcMjIzvZvH0vhxhnUVsnCxcvouJ7aNmknEhOTRXoFhNz12dOLs3ugwexdYO5PfNJp0wJnkwMVLEUk0RdZ8Xy5ShCxSymdUmFtGJiWAIYhP5DgyxM9ZHoMPFqHknN4Ki5S9ldsLEcjXW7t+EoAVN6DSNrsdcvsHhBJ+29WWn8P1YfZdKZImHAsvZ2zJRJU0uGUmiTENK34gSDUyWUZMj64a34gvEiY1hUjJYE9+14kqO623FrLmE6oKkjy67BUSkv6+vtYN/gIP3DQ3iCu+P7tGhNbN2xi7KqcmBkgML0CMPTBdKY9GlNTE2M09wlJsAqU5MO99z7AFqQ5iffuIFSUKLZdOhI5TBCjapd4/vvfx9qFTYd6MdWQ5yhUSrTU1z3u5t4xWkXcdPPbufgyD686Tr9m/fCeJWBXcOsP7Sdjq4O5iw9ltue2CJZYsnUHAxTYbyikG6GtoTFSKnC+WvPYs6cORycGKA1nebQ9DROUCfbnqK3uZl2K8VcwW4sarRoKf7hHz7OxokBfvCr6zhUGOPm627jQ5/4EoNTE2yfHJZsJOEBl2o3ac/kUQyFtGVg2z6B4ktp7qLeTraUAl78oU/T1ZXlx3+4m+OOXiN9vk5esJjSwCEe3vwEhbBGe3Mbrz7/XI5esFImoza3NrFh+1ZGJoZIWxnqaZWmZJautg6e2P8Qx5/QR05vQzM1XAeKgcvOJ/Zw0klnsnTWfFIJi6ofMjXl0WzXKBRsulpaSWkCcCpQr/kMj09Rpyh9En/xh3WcftYpKIkk5elpvvaJj7BkUTMr5vVIRtlrX/YKtm3Zx1ntR6O6PhdcdBEdiVbWnvZCaG7iHz70Lm7/w72AzQ2330VposbKzh7+/o1v59jOBZizVzJWcZndnub+Bx5kdleLgOnozrYwWamx58AB2lvTmJZO9+w+LjvvJNTuPvZldRI9s7l39yDZXCuBJ5hoIbYTYhgeumoQur6UPvuahmYYOF4oZbe4k/i+QM4TKKqKZysYCeGpFlKtO5A0UQwDJW8Sqhah8L4LXEq1UAJOIqDGKdvyXtGcGo6rEnoqilojKJVRNYuQFLYYuExXSvNRm6THpprRZPCBYAJWyibZjEmmBTytipbNSRlnQtCV0yZK4KPiSpAsqIfSL083HLSEhWkGBIIxKGhVwiPQTGK4NQmy1Z1AshhdG/zQIFR9avUEiuuQNXSamgJ8x0YgmYYg+5HADjTqhTKhngDXPZyQbWQIEhaa7pNNqVQDA980cYSnnmbiuCFaJikyJDAVV3rw5XRb+hwKkKhSrlMTFgOeSMgVNo3Cg9JAT1mMo2AHKpkWlXz2aXmo6GZHHJ+N4KEJSqNg5tYqAsirSBsD7CIZ1UHxKxR8nZawSEX0Q1Ko0xN4uoWmBRi+Qsa0wdWpVEIsEdjSZKGUYU4+T1dHmi++7Ww27euXxzFcqlJyyxTHa9JHb2T/KIEbcPuGhyk4VfYN9pNvzpLxDZxJF7fgPe2Vp2F0ClDTJdFpimcwUu4a2j7bD+xHsVSMvIWR0aUtg/DhM0WAkUjddX2SaYtquU6y2SDXkpGAs6bodLfkOG5BL70LOtCTcPFRK3jZ2tXkZqVZOW+eZN0pYwEtqsXK9i5mZ1vps1rRbA/D02lNpjlh9lwKeo299ggbtu3hocH9BIKN6AW89sJLWNTZTquW5PRVC9g9NIxh6bR35STg2NvVQtfyFsysxkS5wo7xYRlUVfFrmDlDfkYMjU79pf58eb6er/90RQw88Qd6FKAhfo4zxCLWTSMQEk1KIoBFAEUzMXyeAeaenuhL2eXTgEe0rXji6UxegXGgq/E9UQIsbPQvi4cARCBC9D0u3Y3YPZH0Mb7tCBwUjLTGVFVRwhtMtD3ad3zSE4FZEUuvcSIl3n9H/t3PbCsCYOLS2uhY4n0Z+ZpFEzYBWkUTunjghlhPgFTRexFzU4A90fGIY47OWRzMiY5byKKj16NrojGIJHpNbFecw/hyERsturbiScyNnoONnlGNYF/c3ynONIz3Tfx6jEqAOxGDMpJHx0uce8miew6S8XhbGs9ndJ4aAbI4m0bsX7RHfEUAVZx92fgVLwFMRUEy8WOO9hMH76J7KzpXEWgdVXReI6Zj/LgaUz4bKw72CiZqvK2ijfH7LQ7YRb9H5+NIfRuX6j6zzNMPCMT2o4cBoi+jEJ14xUFR8bO4P8WyIiTofxt7739C/d/QZ38JUDc+Vs70gKYRMI97o860/JFCh/4UYzr6PQ7aRWzieOBFZHkQfyATsbLjLNuZxpJGtp8YI8T7kX1AIxApvou+idtdNLLc/xyW418seOPf3/d2ckkTzw9pyafZOVmgqbuNi1es4P1f/g5as0V3S56jl8xl/eMH6WkRTuAqKTMnn9I7NYe5LVkenxgml0/ihwGuG5JPWJyydCXplMUN99yHYei85oorKIwMSbnvb++/k6RuMHhoAqM9gVYVAE5VHBiXv+gi1j/2BCuPns/6hzdSTweSISYmkMvmLCHXlCThBRSKBTQlxVRlir5sCy95+UXM6V7Aaz74bqpTtvQBq+shuqGi+chJzs7BQXq0Vr7472/n4nd+kJWdC9g4uA/fDVDF5LBLsEpCAjuguzNPveRw2XFrMDOt7D80wOknHcu/fvXbOKbJmy85m5/84S5qRZfmFouWXBs79h2QjJK8ZVEJbF5y0hls2r2XFasXctpR8/jMz38jt33iklXcNbAZc9JhaqrK/J4WimWbXHOO2flWNmzdwurFc2hK5nlg905UJySXTElZpV2vUK27FFUXp+4y+6geDmwalAbvZk4na6dJZ1KMJaaoD9h0ZluYcCdZPquL7VtGsGUaqE66OcEpK0/gtnvvoTPVhu/U0LoM2hMdDI+Pk9JDxgolctk0ZduhLWfx0jMuJp3NYU9P4yZN4RDFoaEBdmzaQndXH7tH91AZK9Lc3szwVBG1WcEsmaTDJH6TIiWiQmqYshKHJ7uGIgEGYUJfq4twFwWtTeO42cvZsm8PnS059g2PELpCChawom8+B4YHac8Ln76alIqbzRr1YfewPE4Vaag+8/qW0pRPU54cZ/a8LIbbyvyWDLPn9rBs9Uls3/oEN9x+G7t37GdcszEUlTecfTa/WH8/1//oDziHHqU4UeWV//4xoVPkE294Ox//7jc4c8kqWnM6v1n/KL4dcNULXsJX7/wtrWaOol3CV0NWL1zA1GSB8UqV977qDfzrT75N2jawVJjOBjKJ+NffvpqPfORjTDHC8MFpOjqamSiUZPhF0koyPlmkJWcxPVETIjwJMiU7TN5+xul8+dq7ufpDH+RtX/giueYs73jHm/jcl7+DaoXMy/USmA5zmtuo1QoU6gFPDe6T98+87lk8tk14Webw0gHNagJVGPjXRUxGnd65vew7eAjTMSnVioiUh2+894OkWpu5+pffpzhWouBrVL0qGTVPrVaSvl5zmpq5afsW+lpm4fg2noiBDULmt2XoHxeMyRJZLcHS2XO4b+tmPnzllXz/B1fTu3Q5w/v2sHTxfHp6uijWbX7zmxvpOL4Lb8jl0J4hXvHKS6BUZ+eBg5xz/BLMTI4Fq87gYx/+B9auXsW1v7+X805eweN7DnDUglnsHRwmpSelBL6zu5ndI4d4zQtfyr0bd2GXpxmueFipBKHwdUPFC0PpzyZYTQLAUwPhjeajpkx0uy6BNV9VsURggiYSTA1cx6buCXKViRd4JJRAAi++KQAnQz6BEUCnANqEnZruBpTtkKQhfOx8CmMhmqUS6iGZdIBXDXAcD1MM6WkNTbDrAptq1STVksQtF3AUg6RgvxkqbnEKP1QwTB/HdvHUBElVw/MVCeaJgATJYiZFrVLFSAQ4nmB3KZjCCkFNkFVrFKsBXuBjhB6WnqbqVEmJQAvHhWSCcjkgkayjaQlcT8OxfXJ6SKC4Ip8BkUchkma1tI7nqFiWQdVRZYKuZghZbCtWOEmoG0yVEzRlqoSBRhja1MoWprgXSiIpJCTRmqM+WSHXlqZSdrCF5NSzSWQUmWyc8ERqeCiltK6fItDK6GYaQzOx9CpeoFK1hXxaMBNN3FKJrK7hZnWsIMRTRTiIiaVVqdbE9VGFTAbXEUErJapVHcPKyIRuRGKuqlH0XXKJpAQQrzp5KVf95DpqxTo93XkGR4oSzLMsAeiKD2TxwCIkqPkoeQ1E6rigYAcKgQBdE7oE8DRdP8xaFB62miYlz474vPEFwBeiZlX8kgABRQiOCOwQ/O7wGSmu+HxcNX8OSZGdYhkcmC6SNQyePDhAvinFnESOYtWlrLlMThY4qmMWJ558PD+4+WZOWHUyW7Y9TKVqE3oKXakcmWRSZEyRzehMl2pUcgpD+0ZIN1kYAuAOPAJVsDpt/KLPqpYemUgv2OGO53LDw1u49LWXctetf0DcOW7dIyVCXVyH3q5O+qdGufICEWxzE+OlaRK5BK0teX76rd/+Jf58eb6er/9wPZtRfRS8cSQWX7xmYl01+vY0snHiEloBuEQgQxxkE+uK9yNg4rlImBrlx1FFk5lIrheZ9scnMUdiVjzz89PrHSmUo3G/MxmWR9uM98GzhVTM1H/x44wDmVHarihx7qL3G0MYomXj4RTxIIx42+KT0bi89UjhKDNNXMV6kYxXgH1xYLIRbBPnO2ITRtWYYBsP5pjJpP7/8GicQU4t2i/aJNoTrfMM6BwLlhDbF4B0POQhfk4aJ+WNQR9RYq2Qjg588wR5vPGJdOMxHMl0P2pHBKDFr0MBYEkm3ExA2dP7iJ/jxnMThX2IbcT3Hcl7/5SUPn69xpmHjaEfUZ+IY3g2+W3EvG1cJh6SEW0/khnHr42Z1olv//n6fyf047m259mWi/tEPtdQjOdS/5FtfXYGtl187BZjmniIEt3z0WdWo5/nTPdXFNARb19UR/qcEoBifNyIj6PxgJ/45070sOe/DeS7/LUvJZEQCbo6y1q62DU0yrTmMKe7k8GDIwxMF7nkwnPpMEweWLeRsWoZz3Klz15lskbK1Bj2bdyqz42//CowT273xW+8hEvXnsHtGx/gslPO5ed334HZm8JTPDkhVvc6clIvJgZZwfaZqkjjc5G+V9Qd0skky+cuZ3JyjEPjQxI8SVm6nISvPWYhD259inPXnMndD22gpTkDnstLzrqIz1//M0xFxTchHPAwexKUClUuP/kMrrn5brKtGV59wSmccfoafviTG5nTt4Dv3Pg7CZDlu7IURmqY3YaU1LXpKUJPI6Eo9Pa0s2dsUEo8z+iYy7pdA1z2kov5/q+vlWy57p48Q4OFwxxLQ2Vl30J2HTxEa3cGp1il6nkogiXSlEA3FDzHolqZplL3pB9XqiUhTKMk4GdqGnbR5R2XXsQj/XsY3D2KrprUUj62Xceetsm2m0xUbNyCg9VlkXANXFWYsofYRUcywcQkM2clKE7UnzZEh3RzWnqbDY+XSSoaalbHHvNp700wP9PGmaefw0+uuYaq5zPuipRL5fAE1JFzZzk5nJ2fTTIdMlgZoy2XgZpF1aiQV1sZnDzAy8++mAe2PMXuvQc4unMWA7USXbOaqDlNmEqV4tigTAZuTzTRrFjUhCwyE7BvfByRT0BOYW66k72HBtEcBZoUlJRGUPI5qrOX+UfP4clNe9B9hb1Dg5izTJxxkYQpjObhb177In55w1389qc38oZXvxA9l5XSvGDKJ9GW5R1XvoGhXTu4/7FHOOaYBdx+3+NoeYttO/aQC5Nybm5YCarV6mHJs6bhh6E0trcSFsIkTsjoQkWVsrUKLsmMQV+2jT2lEfz64TRNfGhvbaJcKvK6S18u02hzRprv/vbXLO/oYevYIB1tOSZHymTEpNpMSODp7178cm7YcBuztDTXPblVnAEJfiZSwljMZ8XceWwtH2J1Uy+PjvZL77yOtlZKQZX5qTw7Jqa4+isf463v/ySF8Rqu76PlNJmYqlUVmmYlWZJawJPl3RJICEKFZMKgy0wyOgYT00OEIjglZ/GOcy6iUg7YsH87rl0hCDSSZgbP8yk5BVQ1i61VmVBKrM0vZ8/UAAdGRpifa+Vdr72UIJXkH//5i4R5jY9d8WqmrQx7t27jtw/cySWnnERv92K+9+Of0t3RQsesTjbu2CE9HI1KwOiBIi896xwWLJvHVKFMW5PBocFxPD1g+86dHBwo8I4XnM3xxy7mZ7duYP3mLaxZuISDk0PM7emVgPfO7QdZtWo+u7eOUkqkmZ4qYJiaBF4UVScQCE3gypAeAfRpYlg1TRRfJE4LDzQX3xfpr5q8dm1XwVRNeT0IT0JHpLQaCXy/IJN1hYef4wbS+y4ppL2mIYGjpJHFrU9jaQlsNYVTGSfV0Y1XruALFlxNBEnoiH+KpuN7RTTNYroYYOkBngC06mUS+RTlcoiV8A6nY7shrpDK6iaBJ4IZDHzBtJaSTgcza+K7LrZtEeoZTKZlimsCRUCZ0iuu7rkklBRGIqReqJNMGvL4bMeT10461wK6j2v76MkQv+rLBOO6r2FoKmGgogi2ocAmqxUZ2iEyS2qhjoaDL1tq4NtV0gkdT7PwrST+1BiGIRKIK+RzCaYchawYG0W8bN1BSWbR/Rp1X0e3XfQMBDIMRSNnCoqfT6CnqAiPv4pgP4aEfgIvpUvJrGBH5pMmeiDkyjpGLsQfr+FpWVR1EivXIhNyXcEEbMqiCyYjKVwK6KrOwu4ktz74IPVCwJq+OTy8Z5+UJGuqwtK53WzZOygltk7JQc3pMvAoFKxmT9yuqrROEONRGAiJrSIfCsgAay8k152hMlWT6/R0NzE8VcJ3xbiiIFJ7RFiHGD+Ex5+agrAUSC/EnvYODh0a4WVrVlKs2jiaAFx9Ht63X9AvsUIDO/SZm8pjZ0Na03n2TAwzS2+mb84itm3filev0tk7n8r0EEkjiSWk56pHJmnR3z+GnhIDvUY6Y0lAsLMpywMDe1ie7aSlNc0DO/byotVHkzDEwYC5fDm33nCDfGDgaT62COFQoD2V5cff/i0//NZn+NkNt6DmNOxplyVL5/DdL139l/jz5fl6vv7DFQdcZgLzZpo0NzLs4iBCVI1JsXEQQVTjxCZiBjSm/c4EGj1bImpc9ivALhFKIUCVCFiIp4dG1Th5OxJYGW9XHFSIrxtVHFB5NiZG9F58ohQBdRHYGU+bjY4rziSJg6Az9W2coSUmWo3HKX4W+29Mcz0ScBlNDmdK3m0EJ6OfxeTxkx886RlQOQ7Uxc9zvI8isDLe5jg4Fu3vSH1/JNBHtvkIybHiOhRMryNV5PE20z3UeBzRsTTeG5FPZDTpjUDYZ9oWmxzPJMWbqd/i9/CR+jT+cxzIFUCruH6OBAL/qWoEGKM+j4BVATCIEvdgXK4bBwXjstuob6LrLO6fJ+pI6bjPpZ3/k8Cn5+v/LzEm/0+QTkdAX/Q9elAy08Og/wzQFz3Y+nO3dc0M44moxnEi/mAn/uDiirf83R99zjbe343J1vHtN47rkXersHpoZK5HNVNAx58D8v3F5LrC4yiNxsbNAzJFr6upjfNWzKFwqMA0DmeuXcumxx7n5nsf4PEdexkrT0sZ2svOPInRsMK+kSnJ7EnmdV78uTuf2a7AIPeO7qMlaOIX2+/DbzPQ99m4m0rUdpaYcGsy7VAQHkapUs2HlLIBI9UySlqn5vls2PckW3btg4RGT1OHXP7sU9dwcF8RexqsqTovOe9kGQKwfPFyPn/r1eieIkHE9npK8h+KY2WZMDg2WmT1vAW8/NSjOWbp0ezdPsITowf40cO3yAmYkE8VhiuoYSC3kdB0RkanWdSTZ9p32XOon2LFpjxqc8v23QS6xvd+da0EHgMD6lVFeiYJmWR7LsMTu3dLP8KBsQnKfkCl6qGpOl4QMjZZY2holJrqoyVUls+Zh1dyqE3XaM6k6EgmeNH55/KDe+5gcmgK1YQxbYIlXa10pVqoGb70yRJATLojgWkblP26TJMUzMNsS4JcS0qmnVZdh2TKkqCUCCApjpcZ3F1AtUMSuiYnj8mEglZTmTcvx6d/8H0m6iLwwyUMRSCDTl6khTYlpGxXSC1XLlkgwwWEtHj1MUfRPzIo5Yrtc1J4tYDr736QrO2woLeLwUoJ3fOZ3d2NXxpl78G9VExXSm+HytM4GZXW7naSQfJw6qSuQDlk0rdRNBWz1RQYDJqY9KoKPQtnc2DnCN3JHKomWDQKgR1KUFZMrJtak1z/hztZ1jeHf/rIVfhKionpSS4+bS1HLV/NooV9/PAnP2B4qs7j20a4+ta7KIc19k4MEaZMRsolwrzJcLXIScetBCNk1K1iNeWYMl2Z3PqTn1/NUKWKlrPwMwprli2n2WjmlReci1aA1QsXsqizl4xpklUyLGnq47rbb+FXN9/CTbfdRktbmiGvyPw5PbzqwhdxzjHHcuZRa3jxKadz3vIV/OiOW7nyFW9jcCrkXa95DZ/6u/fwsTe9gZefdg6ppIZr+aTQuX/bLpkgW5l0GTwwQbaWZO/IFK++6NW86FUfkCxHVYCTIuo3gFed9yLJPNNKKfZO7iHhqixNtJJXhbeZx+REmWp9At/TpWz4/NWnsW/K5UWvvIA3v/wyzjvtDPaPTlEJfOpugemiSybt0ZfPoU6G3LZ5A1PFMiccvYzB6hTf++0tvO+TX0JVQgw15DvX38DORx+HpEYmYbJ1y26uv/NGlq2aw8qFc+no7CCZ0A57kAUikVThvZ/4JJs3P0lIhYob0pZI8bq189m7d4zjFvbS1NHM5OQ0552wmi/+09vRkxrL585nx2A/XtHglONWs2PjEJ/6/Fd5yaIU0qpTF+CWSFtNSEaSCKqwRLKusAwIQXE96Wumi4RTNHRVkbLNQM1KAEww8IKqjUcdI+Fi+UWSAr3xLIJQrBEInFB6VuoivMPS8aoFPMWgHor06wK6qeNOjB32wXOmybTn5Dny8KlUKpTLFnXXI50Tfn4BZlDHNzPUa7ZQ7xJW6nK8qSkBmufhlQq4joFb9TBbW3ARQJuB6elYZoqk6mGaDqFro/rCB8/E9wOZpG46DqHmUXNNrGwaWzBsFR89pZPLWNi1EnXbIaxO4ZQEaKWi6TnUUPSL8AsVJnc+mlOXcmUhy634KRJhDV0AdoqFYtdJpJMyndZ3xeeDixzYEjbJ5gQlT8NUfZnKHrgJee8HrkiX1dBSPkrOwNWTlIdHxeWDqgcSANN1m2SooCUMMlYCLIOsFpAsFlHdkHotFLnEwnZQXlNWS458j0Ui00bNUambOmomRU5NkDJU8ukKX37j2STLZa676V5q0+K6gCfHDtGZa5Ip5JlEim37h+Tny2GSnYIz6RDUBJNTAK7i8+Qwq1iE0ohxWj6AEEEVPc2yXyuTVRnkI67xwaEp+aBI+EBqKZXli+ZKVp8vzkMoUpB1Mu1JsKDJaiHRoklAOpO2GC+X2bB9L2Fd+PPp9GabpdfhRLnKkmw7T+3Zj11y6MplGTq0m6WzO+ib30a9OE7CTOAHjvyMmN3dQiKV5JwzV7FiWR+GpVJW0mREYvfwJHpKZUFPO71teZYdvZSkpfGbp56SYJ5jahLYK9i2IAxLz9gFnYs5sGOE17zpxYyXisxpmyelyq0tGRwRJ/18PV9/5Yrki3EfvTioFQeXogTRaBnxesTOEn+4Rz+LyUSceRetP5PPXBwoEV+RD1y0//+DQRbzpGusOMAXLRdNpCIZbuTJFIUrzMQWi/YfyZriPkKRV1IkwW0E7SJp1J9iBzaCUnGAL/JriyZhkdRyprRU8V7U11HfNnouxYGpKHU3CqGI2hGBrzOFfDRKwuIV9U/8+mlkHorfxbkXE8t4X8al142BHNFxRsca989rXL6xrdF1Gx3vTEBZxOKLy1vFxFtcg2JyLPYbpWVGP4vXxTH8/HtfkssJtoz4iu4hcU1FE/BnPCKflsVF0rfoHhHbiqR1Eqg6/5WSpSe+RN1rXPGMDFWAY9FXvI/E+9G5jJKUoz6Nm+xHFbUpWi5qX3T9RABfFJQStUUu97TUdqa+jO7r6NqJABHRxxGDKOrz/4jXW3y9mQC+ePuerRoTi/+nJ7f+v1R/SYCvsc/F7zOdh+izoPE9cV2Ja0XcC3H57ZFCh/6cisbQOHt5Js+8xt+vefprJv/cmWT7YsxvHAfEvSPGr+hBy0xj6JHYtfF9RlJgcQyNHrfxhw1inIk8fZ8tiOu/hcn39n94L27tICcuXcGmp3bQmk9KpsR0tcK+eoHSIYcVi5ewaccWzITwawpZ2tdMZ1OLZBGdtmA2b3jJ2Xz4K7/i2x97M5/dNcKDP72WV5/xAtzyFL+4734SaV1OhjIkGZyeYH7XHOa3dXPv5sfIZDO0JE2KNZfxyhSukM3qQpqpELohihbSkcnJ5FtX97jkuFP5/cZ1XPGCC/jR9Tdz3vGn8tSOLVx6zll85de/JjQUFN+jVgW9DnYmoCedYWSywk1f+QhPbdnFsRe8lA+//2NsHtnP9T+5gUuuvJDyiE17c5rJikPe1CgJU3TBVMlqOBMOWlZjSUc7Txw4JCVzvqegSfmeLmWkJ69ewSO7t0hm0PKOLnaMjeGIqbawdxJS22ySUsLGHfTIaBZV15asFt8LWLlgIVsmDvCCE06Vfn7rHt8sgcvJ8giqqpJJNbGwp5tHD27HDFVaO1tJ2TpbDvajplQ5wRNAl0j9dQsuVmcCZ9KWoKKaUPAKHlqrBpMBYUqRfST61tQNfNUjLdIxTZVy3eWozh62HjrI2hPP5+71vz9s6C6wt5yKV/BJ6Zac4KWyLVTqU9TKhz26zBadF688mbu3PE5OTVNyPE6dv5x9fomFp63gsWseZHRqgDAp5sTCz8xmaVcvm7btl6xNcW5Lrk1YCVCqCrnOBGWR3Fk4zI6RnmS2T3dzG80CtAhM7LTKU7t2SvN6t+hxwolL2bFzP9OjFZZ291A0a2SdJD19Fl0dHdz38BbKgmljwN9cdClTA9PcuuluTl29mjse2YClZXj3FS/lX3/+M9b0LKNQnyZwNMaUKZyKw7zOTppTWRzNYtWCxWRNi339B7jv0UcZcoq4BZuvfPFLlPY9Sb57Cd/45texskmmCyWMekBLU45XX34pD2zbTCqfIzw0jJbK0JzNUCbEnSwxWa0we+FchnbvkbL3W598hISlEdY9akFAR3sz7e0t7Nh2AM8IUGqwoquNf//WLznrwtNRLJ2j5yxi2bwF/Oq2WyRwle7NoAofM7WV4YlDGIpIIdVZPWcph6YHpAx1ZLqM5evUsy7V0TodqQ5OPu4o2ptnsXBWE025LOmWlJzUf+krP6GvO8e2qTqpepl8Ks9TU8OUnGnyhsVUoUqqM084EbKst4ul8xdy80N3y8n/Oceu4ffrHuW4hUt4cs8Ojpu7jMd37qDmupKRW3Vq0GtS2FKWIQz/9Pdv4aEHH+f8F1zI8OZNvOTtH+SFl5yPZZqsWraQtnwTheo0eCEf/Jcv8+nPfYTRHQdZfewKbnv4PhJonLr6BLbs38WcrrlsKkzg1AIU4TEmmEiC0ea5h8NpAsFMcgWsR6CppE1N+sNZGUuysZxaEd01CZNCGqujqR6plEWhhuznhOlLb0IB8KElMFQbVQuxKwpBGKAJQpvt4wrcS9PI6w5+Mo0jwDmvRkIVFgMJdDVNMlnEdXScehXfrqGn8rhCGotHqrWVUDPwCsO4nsikDcimkkwWXbSEhhGIAIYAUxFOfRpYOs60h5HXCRSVctknlxYhKRoppY5jHGa+edMOimli6B6urRHoBjmtiKvncQMdv1olkwsZn6iDYOuZ4NWF/50q+yOp2RQ9nbRXxtUTmEqJgtNGU5OFVxmlHojgEFeCXM5kGc9Mofk19GQSpyoeXXnSR84tqdJz0DE0QkcERjj4KmTberCMAiKiyNQOg/9qLqBaEjCoT1gRiboeguQnwpZEUnJZcTHTKVxPIW0kpCVAkDVIFUOCVEhbq86HXnUxd/zuPj7929skc9kn5OKVp3DLxgfl504yK7xNRUiGSU2MpWL7gkEpWpIUabeqZF4LZE/glmLMFMC6sH8Q12UQKMxqzjNULEm2nfjoFkm0iZyBVxWBSSpB2ZWfBZIBKGTfmkJQFZRAOH7ZAnoSCe7ZtY+TF85h53SRBCF2oLBnaBAtrdGXa2V5ZweP7OrntW/6Db/6/itpyyYp+nVa81meGBuSAUkXzZ5PNpNh444BbN9mqu6QNHSGJqflcVgCdK6HLFzShVqByVERrqIx5pZYNW8220fGmQzLdPlpDAO2DY5z9jmn4Y8WeWRiOwub2umxmimWpkhns7iOS3vPUu5YfzdhUiHhCRZqlp9897DZ/fP1fP216p8+s+5ZZX7RE/c4uykeYDATE0Cw5wRI0ZiqNxPTK84gO5KBeKNcNM5UavTri5aNGFmRVDCSCcp2N7CJjiTvjTMu4tLWmdoXsa+iijPr4nUkGXH8WOIstZm2/43Cl2WfzcRii7c5KtEXAowSk64jMfnik7NGlmL8HMR/j9aNWIjPdm5mMltvPMZo+6K9ETvuT8lw430QP5eNfRpvhwAMo8lpIwNRAEVnuD//o8nrTN6Q8vcYgywObM7ELJuJdXYkCXHj8cVrpuvwSLLuSJoasQSj89+43kyMv7iUr7GdURtn8s8UFa0vwJPGe3smlmVc0jsTk6+xGoNI/pz6v0Wu+z9NEvu/4biPtG6cRXqkMfRPyej/FOg3k6z/uTL4PtvAoGtk2sfH7uiebGTkHWkMi8veGx8eRczeuBz+2Zj+Eft4pmocpxsT2P/LQb7XveUyTlq0hLt3b6bdSdHRnUUPDYYK02ipBE9tP3iYCaTBJ9/9Zv7lBz8i9HX8ukdbX4qg5nHNF98FTRfQ/9B3+N7N2zll9XKGR8e5e/uTVDKBlMcZgwpzO3NM18qY5Dhj1TJmz2vh4XWD7Jncw/j4BM1NbRTrdfYeGpBG48m0yT++9kX8/JZHyHcnGB0cp16uY3sudV+hry2DqifJtOYYPDDKZKWAn1VhwMVJB2K+Lv3/TjxmGfc8uImPv/ll6JNjNC07gT/cfg+3bHmEVGsCrx5SKzskUgY92VkMjAygZA3Wdndz3849+KEv/ZP8akC22SCZTJFLW0wMlfnke94hAxI++YMfMVkoUnV9moQpuuNTmq7KY0hlMhRrQh6rYocBfikg1APaW9pYM28Ou4f7ufi0M7jznkfIWhrdixax9YlNeLbLiD0tAw8s3+eMM9dSGamw59BelKRK/2Tx8OS85KKlhN+Ugq8ouEI+JpIrBWNCOrofPn/CPEp40IuJZxhAR3OGuutjCEAVlVWLFzAxXGesMkYiVDkwMMb8C+fjlAOGtwwJ9RhupYaWNdFchX96xzu54867GZsYo6WjmSe27yCdsJgqCrN7jWwuhWnqTJdrdOVa6E4btHS0sq8+zf6tA7z8/NO57q4HmapVybQmqIw7cpKda09QEvJbIYsVcrWkJoNevEmfUBhTqYLUp0ipW6LLol50USwh1RNSOPDLPqkWkxVtc2jpyPPokztJdSjoVZ3lq+aw78m9dLbOYt3uLbQ0NfHht7yR6+64k339Y+weOsTpZx3DGYuP41+++wM6+1oYqxYIRl3aO5vIGglBGiSRtJidbGNhaysVNaRgB9yx4UFed+7ptM9bwNkXvUreX59877u5u38jKdUAEynPVj2Vy888l9HiGGccdwxths47v/RdzCYBsCu49TrHH3U8j257hLAOl56+lrKrStnnOadcyOOP3cFktcCeoUnqnsdEeZo//PIuLn7LhZy3+HTWb1zH2179cnbvGefGDXeQMA/7qWVTaSYmqtjUySpZZi9s4VOveyl/980fM1wpSXBPCCwFaOqXNF56wRp6tQS9p/9/7L0HlCRXfe//qdDVuXumJ+eZ3Z3NebVJ0irngCQEGEQ2Bky2CX9jY/DDYJtkg20wYAyYKDJIQkI5a6XNOe/O7OQ80zlUV/ifW0vplPv1rATG+D0//c6ZMzPdFW7drrrV91vfcAOF6QIz/bvwhQOcmEoSMcvsPznDdLKf2VTeAWl71gm2TompM0kWLWh2/Np6G1vZfeo4hq9EMK8SiUWZK6bwWz5e+ZrXMjUxzv1P3Of4m/mCQUxdnDfnZIA9zZ2sXbqE2ekkRdmgKRLmKz+4m4AawIiUWNbVyYb2hTz45B7+6n99kD//wt/SXtOIUtKJBBN0LV7CUzseY6qQYVNPr5N6/MprV/GFh085qdWqrWAK7pzlqFHP4dlm2blkypKGP6BSyubxWRKK38T2h8kK5qtWIqCKsI0ykhR2EqxLxQJWQCYg/OuKBeyyjC+kYOdB17P4w0IqW6KoCyqfhGFLlHWLaFh4m6nYss8BX0uG5ciAFT2JIlJ2g2UkcT7XhsnmCiK7AwM/mpUiY0QIBGVkIdu0Fcq2GGt0bDuAoQtptYU/GMYWHnnhWszkLHaohlImS1DITMuGA/YKrzjZLmNpPizDcHzTClnFCcEwc3lMkfIbDSFoiIYYRhSdgqES1GyKaRvTMtCELFY8DPDbyLLlMNGyug/V70OzyhRs0wGFZMtwjlekP5fL57wQ80WRSmw4rFMRPiK8DEv5DIoWRwloSEYZQwvg0wwS4kFGQadctJFVxQFLk3mDaDhMOS/6LIgu7iGFDHV1CerSSfy9TShJnVgsTH0wzHUrm1i0qIXPfe1BTo+Ncno6SUASXpM6fs2PT7XJZA1s61zYhZ7XkRXZCf4oOw81BJXSRA1rInPFSZe1xXMsw3Z8D/m1d544nzq7a8iOG8wJhrpfnFjCg1B2GONiQfEwC03GLJUd5p94+CKsFcQAHYoHMEoGFy1aQH0kxI9273eSfgXSvrqnlfpEjEd3H3PAxJpAjI6amAPqCQZ53ArRnAhzdHKc7oZ69icnkGSbq1oX0RiNcnJ4mqHJabRgwElxntDTzr1KSLl123BSl0UATa0ZIRjUODYxxoVLe9g1NITfJ9MejdM3MY2tSKzraGPtkvUcOL2fgmKytL6NubkZTo/PEvOHGSxOUxMNMFUsctXqixkZHuJzn/nq7+Lry0v1Uv3WJcCf+eSvosSXcRfgc7/su0/lvVKmasCGK+Nz63z78ZZ3MuSV+FVKNKt5iblSVzFhccEiF0hwZbqVfmuiKkEv1xeu2sTMLbGcCxwKFmHlNiqX967nvvdCfVINzHH7otIvr3L7L1TVJJyV+66UEVcyECuXP5901p0Eur5P3onvC8nXqk26vctW6/dKkLHa8bk+d5XAr9d70d1upcz1xYRwuK9XHtfzTD+PpNW9rsS56z3e+RIvKz0dq0mmKwE877UhAP4V9TueZ8C6y3m9Mc9XYmxw2Zleho8AUiqTg70S9Mp+8p7jlbJxr0RX/O0yvrw+f97+mO9hhff1/ylA30v1wiCeC2BVvuat+R4u/S7qd+Hf99kKEL/aa+J6rrRC8P5dbcyqlMlXG0tdoL2ab+t8XrvVHqyI8j5c+b2DfE/03cOpXfu571c7ubS7Byng58GnDtHYXsvAaMqZVAi5WtkyaG2JMjGRRXMM4FUuWbWQluZ2aqM5vvjjJ3jjLTfzrV/cjR2RaLQDzNpFdMPi/X/xbr791e9w5dIF7Dg8jCQZ6EmN977mdr5y34MERcKhZnJ6fJiP/MFb+OzPvkeppHP7ogU8ND3ChRuWsevpPgpyjogScKRD6dk8hk8mO5enbMiEQjJ6DIzxIqFEhGw6BzmbcGuQL33wQ7z9rz/Fj798J4///Dvs6e8nEo/z2OGdQklG2PaTFHGOfgk1KyaxEv6oxoqGRp452o8WkvBZsmOAHo+FCWgaHfWtDpB1dGSArcvWcvcDj2Ogn5uo2WKyJ9IRfU5ioiXZqO1+Fth1nBwcdfpUSHzJgRSEnroe1qzq4ezEGJ21tWRMidHxGVTZ4qplnRyemcGYzJIqFrjm5uu55+6fMTyTIWPpTsCJkO0F8HHFBRfw6J5dxGL1lAt54uGgIzVd29bO3iMnaOus48TkBJoqjPJtx89JEn5aQYgoQWZmMg7DRBNMm7RBc089oaaIIxcUYJvw+xvfNU6JEgF/kJp4PbPJMcccfvP6DTy3a4fDCOxsa2BsfI5CUac9EmdKytHgj5EvGRBQmZyapSYSJOrXCGo19OsTZI4kWbiiFUXxoWjCLUzl5Jnx503thc9hQJjXB8Fn+sjnixgZE1+3hq8skRsvEmjxO0m/5bxOWPOzoL7D8V7T0jnM2igBZDo66slNTLJ27TVcc9EK7n5iJ/9y77e5/zuP8MUv/zVP7thJb1srl9xwBf/wxW+g+WSa6+vprGtiMjnGhmUbiGgx8uU0P3ngEWx0woEwM9kU63sWcDgzRJMZ5X3v/RAf+exH+cS7/oTPf+ebjAzN0hjQGE8WkUIS7/ujP3TklFNjY8ykk47/nyGJcAQR0qCzrG0BZ4f7mcrOsWbRChYuaqY0oXPXgUeQTYW4kPnNzTFbLLG+ZQFlu0Bqpki0qZkb/vzdlB55jDsffpy0lUPWfKxs7OLjf/Fxrnv1Kx2fsKCmOtLut73udvyBIP/0/R8QqglhlU1yk1nnWviDS6/i+w/9ClWwi2I+XnHBJhoaOnlm/3YS0QSZvIxRSHM4P0whU8CcM1h2xWIGdwxiBCy2rViHaQWYmz2LIlscHBjjkqXLOXj4FPmohZTSuPfu+3jNq24mVzLx+f1YFOjuamNsdhKjaLC0voP9w/28/y1v5enHdjCanEU18si+OG9/81X83T/8kI2rlzI2N4nqNynkLEpFnc2r1/LzB59jVU8t/Zk5prNJ6vwxogGNSHMTc/gp5wsOI1eSREpuwEkyFiCULRiwxZKTnGvYIezCnAOklK0Qiqojlw0HhCz7FMKK5gTm+MMqphlEkVIidha/X6EokmZzOnZAcxhs56SbMn7FxBSUSFMFS4TNyA44Zck2mmFRkgXiqCKrquMH6ZN00ukMwYBKcjrrfMbl9ARKrJaQr0S2LBJ1BZFMxVcqYoiQBrvssOtEMEqpdA68dPYtlzF9QQxdeG2WnIRb4fVYyol01SIEQwKJo4SfUDkNAT9SIYskRxxgS0i0AzX1SAgQ0Ua1RAKJSiFnEoqHKOSLyOUSkXgjydQEqhJC1Syksk267EMTvqvmDHokgqwEHBlvIV8imghCNg3RDqTSFIauO4Oj2DyaSbCpjWBhHNnvdx4wxcwSu8fmiNXWElJlAlERmmGTqwnTOD6CTyTVWjpzpRIrlnSRzwpvP+E9aVPI5NkxNOqELYkSoJrw2TPEww/znK+nIoDuOQM5eu7hjnj4EIhqFHO6A4xKBZWiUhK6Y4f5fi5jQ3AMJQcovWzLWp7cdxBTeIyaNpomkpFFhI6TSXMuQKVkOr594uGEAJZN8aZQSosgcUnGL8JgJJsrFiykoAv7BInaWJjh6Tk6G+L84sARLN1CUmUHhBS+svUx4Smq0JNoYFYkj0cEsBnhwOggk7rOpU1iTFQ5NT1GDSF01SKT1clFC8jiQYJkOfLiZjvKaGGOTl+CE6kpJ1332rVLePjwSeqjIaZyBWzDdPqrt7cJn6ywurGJY3PTFIoGcTVKLp0jk8uR1yyyqQK9y1tZ3LKIvadP8u1/vvN38fXlpXqpfutyJwZehpMbuFHJ4hOviYm6kAKJ1yon8u4koFpwgqhKplolMFg5IfF6hXnXc6uaj1slGOVtiwADBajh7lOATpWMu2qstvOFcVSy7s4Hornbryyvb92LlRRWY9lV86Bz2+dO6Kods/fYRbkAkwvaeIHaan5z7jG4fSX62ZskfD6PRfc1r89gtX15+9Ab1lH5ubvvvZCfnJedJkCuasyUSpZMNeaot7xAprfv3WMW/TlfwvJ8NR8jslp7vcu611a15b1+gN5j9YKM7nuVbNJqYL73OnSPcT7Q2HueuKCfF4TxMvq8bXDBfi8w4YJ+84GRlSBGJcPxv7L+X2Xa/b489qqBd973KoHoyvrPAnvuA6TfhLn329Zn5xkrzrf9F/LR9ZYrqXWv2/kY3fMd0/keqHgfRLgAvlch8Hvz5CvuLLBrxzFW17eTCAV44MkD9CxspqOu0Zn8KpqQeInUSRgdzXLdtRfR2dVINptlxZKVlMwC//rLZ6ivCzE6NOdMXq2kSai1lm6tnpAW4Gt/93X8isqD4wMotkJDS5yvf/c7qE0Wt9y4nuUreli3bCO3bLmGnSePsbp7CdddcBGPD00hlyAzapJTCvhjYbraWghQw+uuez3ZZIF7fnA/bS1R8vky77jseoIJ/znT/LLNa66/ECVj874Pf4qO1mZ+8ZN/ZdfJM3zkYx8gYFm88ZXvoGhZTI6lUAsqTcGwMwET8qT8XIGnD5/zOtKzNr6o3wGpxsaTJPN5nj19lId37OGTH3gvP33kMQSNRcxHmxvi1LXHnQmfXdSdhNJEXZymUoQzYxOsXL6KUG3AoQ3JDYrDYBrNDNE3NsCNG5cyMjqKlJ+hJhohOTPBjD/CiWOnefrsSRq6Wzh4eB8zOYW6aB0RVSVTKJNJFpzJ2Y+eeJzezsWossnqNR3o/gC3brucvcP9EJGZzmQJBfyOqbxIUk74A8RDAh5UsSyDeDRItCHoTPiF35ZcI/zABOtPpLtK5It5dLtER2crdZEYc+kJR1IpPL7kXJ7G+nYWNXUwMD7jTABjoQhjeoZ8WicSsCmbJQJWhFe8ehuxkJ+p8SyD0yP4Jg3h805A+J7ZRUZTKYbLs45foZhcq3HFAcbKmklproyu6sIyzAH/9MEi+bGCw1B07L+EkjAvOf5+jbEw+UKRGWwafD5O50eY7k8yMjDDkeH93Pf4c9Q3RbmsdRFXv/wyHtu9y0lHve6iC/nm1+/kxm3bKKR0Av4QZ8+Momkhx8Psu3ffzfbd+8gVC2xesZTlsRhf/8AHmZ2d5YLYUt791rfy7e9/mdVNrazbfBNaKOqYd9W3tEBIMCslHvjVr0hOTfD9e+/hwd07eGz7XnaePMjgRB/14Q7GxvppD4b45Jsv58bN6/nJPQ9z357HqfdFqAnFUEI1LG3v5fZNF9FXmCJbNiGsccXaFXzuXe+np6meb33m0yJagVpLZS45wfVveOU5PzRLIZMz6Kyp4aHDe/n6/T9DiQkWkU7ZKhFvCjnZsI8d3scj99zN5VvXEfCr/ODhp5mS8+w7PkQxVyBbmmXPwGnMmTJyTnIkjJN7xrn5wovojDcRC9QxlZkioIWZLepsXLCYtpYe8pqEmpMw/SZveNOthCMqerDM+19xA7JP4ciJPiYnkyxr7aG1o44/uO5qTo+eZemaxQwVh1m8uIfpmRE0f5w33HIpB4ZPcmpkkGhtjFBUY+Pmq5lgkq62mCMDVjSb9sYEulpy2HuqaXNhaz0+v4YiGFrCOxET1ecjGIs4Dzp8iSjFomDVZTDVkEPekoQhnSWYa0LOqyEVTMpFnXht0GEDB3wGSrAeKeinYPsdIN0XCRIQ/nYC6FNU/IqOWVYdlpQqlSgbGnJAbNyPYulYWoCQIqSmFpKhY5gF0rkyUjhGAYWaujCFdI6g8F4LBsmXgvh9YfLpAn7bdABH4TcoBUIYPomSSHNVhPxTYIAqOTNIJqM6olQBKiohwd7TUQSVUQSOSCJkp0hYT6MHgpRLIoAkRtGWyOgllIgA+3JO8q2DHgalc2nZPptMuohfxHkEAqRyc0hy1AkNEWmy4roR/nwBf5ZCIIpqhZHNIrIiAj98aLKOofkxSxNO2/zhOEowhhRUaWgO4ytnmMno9A9OMp0r0Gf4qE0kiERidISCREfGWN9SzxZFZklXL3V1MSanc6xasZL7DxwiqZtMjad59OAJnh0ccVh6iqI4oUKCKSzYnMKOQgRrCHagmTSQNMVhSvvCqsPKFOFPNUEhw1YpykUHkBMDly2CJkzLAedu2XaJs+8n9xzBEgnBtuUk5uqWSN+1HOBaSInLuuinc4xVwbKu764lWONH9ks0xWq5pHcRV69cTk9DHZP5PNsHBhnPphzpv3hI88ip046kV/z8yevvOBeOJEHJD2mtxK6Rs8ylM+iFMkWjRNIqO2OiJVvkSyWWdzcTqQ2QShfQ5TLL/S1cs3A5q0MtbKrpQquRKOQMhkppJFVC9ssEgwEHAK2viznWCZJPdR5qFUuWA0LunZpkIpd1rBQGRiccX0XBVhU+oKJvhmdmeOLQDgqZ7O/q68tL9VL91vW8p9U1r34e4HM9wipluuKLuXjPfe15ls2DPzj3Rf/X/wuQxftF/3lPoAoPvEqwwOtj5vUKcyciAjzytttl0rlgU6VfkdieaIs7GXQmGJ59umCM15vOu747oXHf8y7neqxVAnxe77pKfzwXiBMgmndfYv0XAviqAUpuufupBPjENl2QSQBo4vd8AJ+3/S6AJsA9L8DnlpisVWOouJM9dx2vfNbtJ9ejTpQAebwA0fl89lwATyxbGTLi9VKsPL7/cL5VOfcchliF76Lr1yjaKbbtnnfVTORd/z2X0emVq7nLu+t7P1+vL6F7LgmAsBow7gUk3WvDu//KdZ732/Os5+7DBfLEb7GuOEdcP0Jxjogf97x0+8ALBLoMWO++vAxAAWxVAyW8PomixDoumOh6H7oeaZUMIS+b1wkT+MAHn7+mK9eZD+zx+mR6vTn/q+q/GuCr1v7/6mP6Teq/OkTDC/CJz9P7413GyzQVgF81z9HfpuYD+Kp5sr6Yqubt+tmKa+/FMLzdsVK87+2jSk9Tt7z3RjEGuOOLd3yqdoyVJZZ3xxL3oZI7xrvjwzvj76tq2/B7YfK97b2vZmR6jsUdrYzOpakLa4xNZkilLWRTyLTO+VaJL/qlWYOW9lqyyRy6YvGpd7yDT3zrGwRtxWGZWYLY4LNRIjIrozFGiwUKpszqhUs4MHKchFrHsUOnnIn17Rdv5C13XMKff/MnzCTFl36bJl8jo9kpGsNRwnVhpqdmuXjjZg7sO8GcXqBIEp8UJBQNYM0VGZpIEkqoNNh+PvK+W7jz7hP8at92goaKEg1QtIqsbGzj2KkRdNkgnzW48Zp1bF62kM9+416MkElNU5jkRNpJxmxqaURCZ2ZWmNMbDkNreiaJFJSIxgJkJ4XZvckHX/dy/vmhe/ny29/K27/wZYcBEg0FiEajGOWCw/wQElU1qlFOiom7yG+QnQlXT3cjKavgBJJM5VLU+VS2bdvMz+99hEgiTnJ4BkuEeUSgKVTDXDZPqVjina+5hLt/tZ9hO0VvdCEnM33USQFypk4uqztAXSwYYPOmdTzx1HPIkh9TK7O+s4OBmTnamuLsOHGWS5euYN+xPopKmVffdAmPPrKX3oYYWxZ18MlfPUHA9lO0ywSbg9S21aFKkgOMDO0cxPIJCbSNrUFnawOjI7O8+rrL+NH9j9McryNvZTGE55QkUadGmMknueKim9h3dDuTY1Pcetsl7D/Q58icU3aOjQtXMpkaY8JIE0Im67CPhIG8hFxSuXLzVn52z4MOgKpEZYf0JMznRbjCilgz+08MQlh2ZGgUJBBeg5ZNUJiF+UzigVqu33gRZwdGOTN8mlQ5R7wxzOrFi2mv68WcGWbrJVv44rd+zMuuuQ4rl+KZg8fZtm4rDz5zD0dHRgloKjdv2cavdu0gHq+lvbEOWbZZ0ruE1GyePacO0xasQdMitC9vJTA9w0xBx2rtoHY2w+HTAyTqQvzwsUexVJsbNm7lgad2cPtllzA+kaSjpZaahgbUcpGa5nrGpgtMTE6ST86RiEfRbZnk7IyTNDo52Uf/zCxtLe1sWrCQHHl8RYlTfYNkTZ0FrV2cnjjN4MQcgZhgQVmOBL0szPslhR997W7u/OG/82/f/7YzWU/UthJOWA6TsJwx0fyCOSQhWRYRq4HXXL2Zr997N2u62shbFqdmZkgPpWjvbeJdr/tDlnQs4lOf/jSFoMLA6BCS7nckxUsaOxifGqO2rZagZDNTkmltDjA6NcvWxavonxojl80yk0w7ILFwkGtLxNl21bV86c5v88e33c43H7obnynx1ltv5lsP/ZL33PHHzA6dRtdCDJ8Z4ET/ABdduo5yCVY2B3j82Cgzw+PoKJQyBcqy4QRLhIqQ9OtMp7L0dDQyNDpLOKzx/je9np/8/EFyNQlUWaEloLL9qZ381TtezZqLr0FLdPCGd/4p/oiCIVKWdR01HoW84Ujcg0GDcllDVcoUdYuQL4hOibIVRPPZDqAlzhOjrGFRdFJ6Q0Lumy6g+H1Y+bLDFk6lbWriPkqZMrqsovhyhP0hysUSZTuEIsKJ9CkkO4gaCKMUU5iKee46UzQUycAq2vhiKrol5MEyAVXH9isU0iWUaBC/AA91GUN4nGo2WlBxAniC8ajD0JZLBr6wTCpZJiYkxoJ3KEcdSbClasgEUe0CpWKZoghXsAW4YxGMRAmGVaaGpgjGQgRDhgNsCpBMePppsg+dAv5gI7JSwBD3CEuhJIB7Xxi7mEexs+R0xQn3Kdm2AypGowZ6uoQmwFalBtmaxR8NMJEuoPo1kfHhgK2KpBKKh1nvK7PnYB+13a3MpAuO/93s1BiJRB1Do2OkxR4NhZsuvYhv3n+vY1Xgr9MozOoiy8dhyGmhAEaqBAEZOaRAUaTZqnRFEgymZ517pWEJSbmKXJYoSyamCPwRRgd+BV/aQrdMhy1pC/RPBMco59jPwlrBKhqcix8Wj+hEYIiMniuzcHUrA2fGiTaESE/k6ahN0KCFiYXDROv97Dk+SDEmAknKaBEZKWWSyhaJxYIU/AbNUoyByWnnoYyo9q5WBvvH8McVwprPuTf5QirXtC1kYC6Jhs/xcDxTnGZscI4LOnsIaZKTHi0sKcu6gV9VeeJ0H7VNQbKWRbgsk1cNbt94ASODszTFQvx4136ssoHiV7lx+VJOzExRNE16ahuc+3ko4HMe9jTHE5zKT1DMCI9YmVevXctgOsNf//2//S6+vrxUL9V/Sq5bmd7qetpVTmbcxD4ve8u7jlsuIFMZvuH98u9OxlzWYOVy1crdlwBNvJ50leyqSqaSN1DATRz0SgxddtULSWsrj7saM8273ny+TtWO1ctucn3zvPuv9D2q1u/zsa8qffIq5c7VwKtqx+Mtt9+87MHz+S+64PF8klK3XEZfZaKlV0rmMk7PN5H29rNb1c6XSo+8anLu852XleDsfEmv1Tzp3OW95V13vgTgF2IpVkrv3GvRlSW7bXF988Tk22U/egF9FyDxgrXea6jSk9Ar862W0lmNCeldxyvjfiFvRW+dL13X6zVWyUpy33e9AytZX78J4+//debeb1u/i357IVm5e54JENRNen6xNZ836e9Chuvd3vnk+V1VwqHms2eY737mlcq626yW0utWtXF3PhZzNSbxfJ63LrP+9y7XFXXLG28iGgkwN5IhGAuAKjM7UyYQFRIu+ZyULiZRHCsTbAuwsrOXw4PHUA0BjanoWR1Dtp3kvJ6ehSxsbObxXU/TEk9g+BQO7D5LTXuAy1dvZf/xY9T4Nc6kxvnK+/+YxpWLuf2dH8TKGtRFehiZOMNN2zbTPzaKZYdp1IJ0La/hnsef5bJ16znVP0ZrYy17Tx5l65oLKCbnePL0CXwBhaxAGbPC00hGStv89Asf5tvfeYh7du9mw8UbOHryMGH8FCSdVLbEff/299zw3g+gpwxqGyKUdIPCTIlIc5hioUw4pDE3laGmPnTOk183ublzCWsv2UJTrZA4/orjswO0xeuYLZTJpZNEoxH0QgE9Y+L3+SjKZUqFMtGWCKXpAmrARyZTdORZwiy/KJWdbUeVIHpZp2SBKZg1plDOaVy2eovDklhWH+Zrjz/MtZs3suPoaWSpTFl4RxULaJYPuWzR1tJBj8/Po4N9FHIFbt2wkVhrB7/a/hBxf63TpzdfeyEn9p9wZHzD+TQxq5az5jBkVHRJdxJ5LcMk3BbCJwJRDiSRQxKmmA0LtooMLetbqS+FeO0VV3Lf/udo8sd5cO8uLtm0kad27HEmsFpRwojYlIvCqF52wALLKGEKMZkpvLdU0GxS4wXCjRrZdIlwjUZqpOCkn8ph2WGEKjHVCeMQjCEhnZNmLAz1HAMJwRDKmU7aaaQmSG62cE73JnhoJYtEe4irNm/j+JO7GLJKdDe3kJ7NEI742LZxMz/81b3UhhN8+n3/H3/7vX9iUcsKjg+eYNuS5fQubua9//gvtNXXMVnMElX8dLa0cvxkPwmthkgsSHNMYcXaLYxMjhC2QpzJ9MNkiTve+kfsfPphksUCOUnBN5HmubOnHMmaoVj8y1//JX/xuX/kg3e8mb5DR5guZGjs7mJ2dIJ1mzZw386nKaSm2Hf4LB3NjYyNT3DNlZcRUoI88swTbFi4gJDfx8GxcTSRghxWee0bv8TnvvJ67ILOzGiBUFsAfRL+6g2v5NN3/YSwz0c6W0AOqdSV/UybBeeasYXU0Y4QaVbIlksEMhL5yRJSwKCnsxu9IHzOIpwYGEAOKxTGi0S7I+izJqvXLuXgseOsqe/GiOmcPTVHMZThDZe9nLqGMF/8zg9Ys2QlZwfOsHhBG9OTRfJZnWlflgUibCRZdPbvE8w1n8T73/J6vvzDn7Nt1WomZoY4OTHHZ/7ua/ztX38YuZjkw3/7FaaLg3zq43/LXDrF4vYWmls6OLbzENHGCOPJDLKZoZixiCYaSARitPY00VIT5JmdR2ltbuWR49vJjRm0ddbyzpe9CSm5j7OlMl976imu6LyAZ3bsZvXiFbRds4HR556iLxvCNGV8pu5IK8s5EQoro8o6ZSEpFWm6colyOYiJkBxL53zzRPiFIlKtTfQiqIqOJmJx1RBmWcfQA/j8BeHKhk+x0W0VVQ2iylnyaRF7rjnp1bJqY8saJd1EVcv4NHFNQcRvYBsyBUFBs0vIInk3n8MKRvGLlFshsbZ1bFnA50U0TQR62E6gkGT4CGoCsLPPMc0UC7MkYSlhR+IajitkU1lk2Y8/aFLW/ch6jpwpoQT9TmpwKa+jWCW0SC2WLKGnTMrlDNG6OsxC8lyIiSwwLQtZgN6hEGGfzFzRyQGhMSLAfNF02RkTigK0C/iR02kKwqNO8aGaIaJyDjkK6ZxGKptzmJZacpLu5ibR2wxKKnUnTzKQL3H99dczNzvG/kPHWb6oE18gRN/AWXJmiZmZEpet6+WuA3sdsFLEuitBhYBPoVDQkQ0Ff62GXjAcKa1I7a6pDZEpCsbeOUm3kP6Lh1uyYKubEJP8ZEQwipOSK2NLNrIpgD1hyieogYKHLFKChR+hj/qmMBMTaSQDfvLT+3nru17utCNkqsyYJfyREHPjs/hRuXrNcgqFAg8eOI6vRqUuFiWTylEqm5i2zb/82dsopIp84J++dc4D0PlWAFJEQvNpqEEJxcCReM9MF3n9pnUkcyUHHC0YZYKKRiziYzKZYyyZ4UR22knhFaxCETITjvsc6wbxGZZNi7A/QL2psaS7g6Je5MTYOIP5DEbaYMvCBZzNTDE9lXMwzA0d7QwmZ0npgn2vOQ9ngkXZ8fq8oEk8MICPfvrLv6uvLy/VS/U7Ly/A5wJQXpDMnUR4galq0loXyPNOACplje6Eoxo4ULm9yv+98l4xUXIBSpGC6pX4VZMfiXZ4AY5q/naVkyURKuLKPKuxx9z1Xqxp+3zrVZtYuewrly3n7t/tP1eO6/UVrAasefvQ7YNq7aoMa6jWLu+2vOBjNdC0Wj9VmzhXe+18vn3nYxZ62+ct0R/iXHHPE295PfncPnZlyC9Walu5L7cqJajefVbK171gqvva+Tz6vECc1wOvsl+8feUuL8pdv9Lzzuv95X0wUAnkiu14wcT5WD/VQLtKkPV89WK8Pc/XR14fUW/Yyn8G6Ptt6yWA8DeranJt732j2j3Eew94sVUNSDuf7cKL2d75HpBV8+z8UBU/T1Hu2DGffNbdrtfK4XxVGT5VzWqi2phf+TCmsu3udirHlBcL8v3O5Lq3vP5mZJ9KyTTRavxsWLyE2UnhEwUhO4RhyAT9AaSMTGNHHNLCMyznTDB7OzYTDPooyxYfecsb6W6ppSXq43T/GVRLIRgMEtZC9PbU0xRI8OThneTKGSLBME1ajAee2eWYuWvC4sqQKJcn2LhwEQeGB1H8fuRSiv7UID95ZrsjdXvq0EG6mxo40T/EVZs3s/PEQY5MjeFTVeq0IEpRIuLTKBcM1Hofh072EVuUQJcstu/dia6YJA0xWTWcSfDL3/dhijnDYcuk8jl8AY3W7lryk4IxIpEWKa09C0hO5EmPZPmDVRtJjU8Tliz++Ev/zvI1y7l5xWZ6W5vZ0tXl+GlNDs048sRAW5BSwEDPm7S1NpOZy2M5YRg2AaEtVWVyZhHVlonYPrpiKvHWEEs6WjB0kw/cehmK5efhPc/gkwsEOpuor6lj08YLKM4arF64gldeeQuxQIxljc1Ew4KxA6fS0w5hpD0e564Du/j2fT8jK5hNis7rbr0RX9rgQ+96LflyGDOnsXX9GpoJOixAJKHnEomRCqWsTvpUikBtEEsRUITwnrIcdhgpnbddfQ2/2nmIbCpDPlckJGmcPnramQwv6+phdVc7efE5aCor6xYSVSTWt3QQlzR6WhbQXhuhlCvT0BKiOFxwJoC+ko9gqx+tScMuiXAS2fHdE758AvgzJnQhMkQVE+pSGbMk/KjEWSyRncw7kmLH2EokNGtQmjOYHBxlNF9g65olaKZFyS4zXpihtr6WBU0d6HIWXc1xyYYLODyyn0jYT1aXuOfpHdT4g0xMJ+kUoQU5m62rNqAL+Wetwk2XXUSitpm77n+URG0j20/tYllNC3IYZk6f4MiRUxhZP1MTs8xmco6095uf/zj/9NG/5M6f3UdOL/Kxr3yJx08fZjSVZmpqgny5wNe/9z0ODRxhLpekc2Ettq9Mz5Im4sjUyDbReIyx7CxyXQO1sTgps0xjWwf9u77NlgXLKBRsWlprWF7X5rBpTs4OOyBEOBbg83/2UcySyYwpokwllvZ0IlBlXQQzyBHkuTLvfNMVfPmLnyVnmoRrZdZvXE+iqYlwbYiQT8PXqlFOlzHyZcbHBwjbCmeZwEiDHDJpjjc7ya6SEqCjrYG55BQ1tRFOT6cIRWW6G+vpSYTojXfyiS/9DTNmCr2oMJeS+eAXv8juoyd54rl9HDslriMfr3jzyzh99gzbB/q47lWX8bb3/DETY6OcOTpIQ6iWcN5wwmwSTTESDXEaGlpZf8lWuuoaGJidQy+XODs8TiyhMDA15AAXWd1gcHSCT3z7H3hmTKS1NnL98i1OouvqpYt4z3v+gObJFK+64gpqmSXY24upBUHxn2OLltMUMgq2pWHYQqooO6EqPlVCEXJeQ4DiGoVSCb+sEqrzo4lAiVDE8c0TPnuSbDg+ZmIc0stCQlxGz89h2gEnfEJTCwS0IgFNopzPE5BKDjgmNJmqaZIzwlghDUsKUDYj+Gwdv2TjLwkenpDjCjNLGb8/4IC0hhQgWdAo5XTMYsGRUfp9oNSEKRYlrLDmSFVtIwN6mUA4iqTrWCWRcJtxrBJEMEbAZ1FMlZEtG78vgF4oIRXKKErOkT8b+Zwj/TVN3ZEoC3vBkhVAs/IOUOn3ifCcIFh+0C2KporfLhDULBQpiKmqqAJcFF6BWpG0WC57zrtPyIJVn0bvgiX8f3/9jyxb0IFc1pmzFHz+APsOHaZYKtLZ0o6ihpieyRMMSizp7CFTkyNVtvmTV9/Oay67iVfcdjUv23wx73/tW/nj173SGacKIl1Ykmiqq6ElHqdRDqFYkvNgQ4QglbIG5CyuXr0JM10mmcritzVuu/oy57xSLYmepjaHbVwbjzty3rpg2JGgiwdPk9NZrl2xlAt6OnjTu26jp6mXZYlm4pEIvU0tlFM5btuwkstWLGZ0do76uojDKgyENWrUCDevWemAbR97+8t5fMc+/u6nP3FAOSGFdR5uKBI39K5gW1cXuYki6ekiXYEENy5bypyQ5ZYMDNPg+NQkoaATk0KyUOJkaooNde2saG3lisUruGX1GrKzOpd1LUEqC//PALPTOU7NzDE2PceJwRnaGxKYWcORC+8SHrflAI2BqGProao+prM5dMHqnLUp5cuUgxK6YbJ9Yoii8Fp4qV6q/4NLAAxiUi++oIsv6mICL4CO5+W5v/7S735590qCvBMCV/7rSgZFeVkFXn8el9HjLXcy5P3tbs9d1ivvFeDkyJc3Pb++aJ/L5vBORsT68yUoutJQ939Xcuq22/Vxc/8Xf1fKft3JUeXvyqqcXIlypaJeGan73t98eOt/kDR7ZcpuH7hSZVdOWSmX9MpI3WOoBjhWAnzuepUMtMpACu++nveJ+3WbveeGF8wT23X7zSuRdper9OGbrw8rX3Nlwm657RRtFIBVZXlBJlceLH67jL3K8/N85V1WTMy9/VLJKvIGzLjXmABzXW/EasfuPZ+912PlhFys50qKK4EEsbzoe3fC7so+q0nrXIBPXEuV16W7nWpt9fZD5WchABjxI64pVxJceXyuzNLdlwAwX6iqAXRirHHHAbf/xf7ca0AAfOLzd39+mwTfSgDvhep/CgNQeLX+Pst7nng/p2qfmQtie2Wwrsy+clwU560DAv96TPeWex/wlnf984Fp7vXlZae6Y6UXjKvWnoFrXv28zYML8HnT3L3797a7ciyuVm5bvP3itkWMPe59rRJQ9I6vYlmXleu+5l3GvY/8pnLd3xnIJ9L7RFCBkreoC4Uddooa9LFyUR2pWUEpsYm1RbE0g8svXEdTc5jh0REClszA1H6HhdPdvYi7n3mSuYk8z+4/wpyhMzyWZCaXY3ouz2A6RdmSiKGhdIQ4mhxCiinc8/heXvHeDzrytzImihHk4NgZRgeHGR+ZZbKcJZnJOBNXwzQJqUF2nzyMIuk8s28PvrJYp4RulBkaTqHkLOd4hLfWiq4Oupra2LB+sxMiEFcDlCdMVENCFn73qkU2f05C1NAYJRGOUlJ0JyRCSJQFeKlFVGbyE9x22VUoYZlEQyPphhq+fO/9+FWDYGqKhw4d4OzwEM+dOooRBrXWRy6TIT9TwKcr1DSFGJ2ZcpIXjVyJJQvaMBTz1ymKgkkFRcXiwPAcIydmOXKyHwWFr+7dTTIzR8RQKUZ8nDg1xNTkBM8++jT4C4wVZiiMDTI7nCFvKSzrWMTZ2TFyAZHYaJOXbBbVtbChexmSrfDGW19GUBapuxq7954iFtZY1hbjgd2PMFcwSM5lIS85RupmznCYIWpYzCBtwsEA0UDoXEiHDFNDSQZyMwyeOoaqBTjTf5ayYThStLXL1pCZm2E8L7OudQk9ta0UJZ0WtYU9I+N0RyLkZycJ13TT3dxGnDDl4DmQZDZdwCjYGAXBUoJ1S3qRfIJCKTmMPSEpE+wYwSyRBLAiDBR1kRMgUd9Wcy7dUpWcz+6mbRfSXd/KE2eP0NjZznPPHWdX3ynmzCJm2uLsyWHHy2ymZPMn//BZHtmxE1uqQQtomMEiG1cuYsmCZY40WFaiNCcaeeqZx2moiTA6MUp9JMhde7czlhnjke0PCeoWs7MzPHvyDJ/5yfe4/qabON53HCVvUN9eQ0ILct+9D/OBT3+KdUuWExdJuopN3/Q0R4dP8Ytnn+SRowcYMmec0Jnrtl5NfbCRKzZtY+uKTQ4z7f5jOxwGnxKsJSErlBWLW67cSFTNYytJDvadYnlbM8219TS1NbJl5QKOTYzy8qsvoSnaxb/ddSfbVi7kgjVr+Ys3voXjJwa4ZfMl+BSJ6fERBzT9zBfv4+2f+DMCbRpTE0lmBkcoT886Y4Tw9pJkyQlPsAM46dVabYjJEzOM6DOYqsXI5DhJERRjKkSVWnq6O2lv7CIWDDE5N0sBg5NjUzxyfD9N0SVOWMK4Mslrbl5PW1OdA+JqcT/pzCzt9Q0sbGxzGGBBn8JdH/8Qf3HrK4kGQ3zh7z8lolxZvHwJsZpaHn9inwPEHDx+nEM7dnBi4BT1QY3UgUM8vueAI+fsmxqlXDCJJmqEmhICEmNzSTZccCHvfv8nONbXT02dj9HJDPfv3E6iIczxvkHkg0+wLFCgRc7hDyhIkZjDKhWsNgUBTqmotnkuwJoAlmKiGQZRv2CoSViFEvgs9JyOYRTQDeHVKf6WsZUSpkj5NQU7UMUqpDB8IhBbJm9L6IIRp5j443HKOYNS2caSRfBDnlxapMGqRH15pHgMvz+IpKnopoGiSphO2nTB8egzjTK+kEzM7yccDjhMNUn2UUrNovkdMiDldIZoIkHOUpEs0/H8Exd8NBxBL0toqkUxJ1h/RcqCUSZYiMLLUBNycBNVUMf8NoYVAzWAnjMwlCDBWomCWSs43/gjPkRGrz9YRNI0ZE2hiPD+EzTJOXzBgHAIRTbEGFQiHi1hB0ziiVoniERobUfnZvnnv/sQZaNAqWyhhUVShUVqdpzxyRlMHxwZPENLc5jZZJ7JyQnqpQgnhvrYu+c4slKkPDKLpJY5tv8Ajz2ygxsuvpCueD3dTQlyhk6TP4JfDuJXfBgBnJRdLeTDzJlsP7DvHMtNWFjoRe56+El8sowv4mMkKaT1MsmiQL1hOplh29JVjt8oPpu9k2NIviB3/du/8tm/+QTPDvdzeGiEA/196H7hl2eJHBP2DAySzurUNUQppUr4DJN7jx6loyHBvfc9RzadZUVDizNeC7mxExiCGBtNIoqfa9csJxjxs/vMELsmRrBE2q8C+3NTTtjGj48cdLz52hI1bG7voGgZxHw+WmpD9I9O0OAPMjuXQdZsZrIF/LUBJ3hq19AgjfEwu44NoIhrwYBEMEjRV3Zkvi1tCccDVvgZBsoKaVswXg1WNzY4Kdw//cYvnRCll+ql+j+lBDAmJvAui0X8LSafwn/Pnai6fmvul373C7sLQrisMTGhdyfkXh8+F4yq9CMT+/L607lyo/mCO7yAksto83qDuW1xy2X2uRONSiCpEjgR/wtgxwu4ectNI/WCF66vmRcUrAQJ52O3ifW8y1Qee6W3ofis3P26YIfL1HNBlko/tUqJqijXBH0+6e98JT6fajLSSgDP+7/7mbkT02qAn/u5vxCTxttP1ZYV5R672J/LNHHPt8p13c/z+c/y18fmTr69E2Xxv2in6EPvNivPabf+gw/fr5k3Yl3v+e798V4r7o+7jWrstUq2nfczdwFzd+Iv9u8FN7xMO7fvxWuiP15IEuwCieLaF+eg6Ge3b56XP3vWd881dx9eAE4AMKKtXoCw2vGJNguWoHts3nPZCwa65Q3dcPu2kp3s3Ya3vDLkan5vL7b+pwB4/x2A34sBSF+o3PPsfMxRUZUAl7fEAx8XYHshf7wX8rCrFoTj3ruq+cH+yHOfEvckByD8dZu997j59lk5Hrljlbt9cd1W6xsXsHPvr97xar4+ENeH14/QC/pVuw/9XuW6V15zOe0L60iWivhtIZ0CM29TzBchoSAVbYdNIGQ5wmC+PlzDTCZPsVCgub7B8d6qDzRQUHOOv5GQOhXKNjNDc/SubOLk4Sk2bFjAidOjKGGbbNGgIRpB8SlcdvE2Ll+3nLd/4lM0+sPURuLM5lIk4o0MJIdZqLWwatsiypMGl1+xmrEjpxkq5jnVP4Ea9XOo/yTXrtrMT55+kojuc2RVPSsa2b9vkIu3rGBP/xlK2TK2TyKqqpQjYCRLyAWFeG2IsdksclCmNhZywKys/1zaYWmwgC+hIc+W0U3LkT0tvmgJiVSInoWNPHFsn3P8pRzMzaQcsCnUHHbCIIrZMhs2bObY0b0sbGrm2OAI/oiGPleiHMIxoZd0CZ8mOZ5jOdsgENMI+1RmpnL4DIXQgqgjodvUtpbndjzL0p52Tk9MOAy2+lgrFy2IEmnrYc2iJQ6w88277mHzkkXkp+cwhOeVKpHJF5wU5HypyMLFnaxOdPGzJx9hYiZDtD7EnGDGZAwuXr6UgZEJonVNDCb7sDI2uZKOrdiOlMyBLVS/42OlW8LUH3paarntihvZu/8khyaPoE+VibTUEAlEMKwMzf4AU4Usy9qX0LmwneEjJzgyNUHTmjaitsaZA2Mk87MOCFmwLPrnxsmYRQfQU30yVsHGZ8rk00Ukv2AXmaD6zqXsqpIj342Hw6QFI01I5XwSaq3G9YtW8cieQ45fWXNDO4Gon/7JPoGYsHnJQg4ODlFrBQjUxulpaiFvz1ITaKSUyrK37wy3XLmF2kANew+e4sarLuDR3Qe4+4ntfODlN/L5h++nBj+WTyWdy/Gnr3o9Ow8eYXFnJ8+c2kNPcweYCoVchkQkzsjsNJpfddg5WkymXmtkNpvl9NwI11x6Ff/+k+87oStici4SfIuGRaw5gGwFsA2Lt151NcMpwXCCYLyOb/7sh7znjtdTzOd5/Kmn2LJeJNfCE9u3MyXQtpJFQ3MjPYl2Tp/tY65cYNuyhUiyyuDZCdZu6GV6YpyBqQzNtX7KqsbxE2eoi0SccIHDZ0fwaTIXrd9CW2s7x7c/ixmWOT48Qme0gb7MOKqq0B1q4o7X3MGHP/l3XL31AvZPn6E0XSTUFiaXziOQpY/c8RZ+8OiDrGrv5P7tu4g2x3jHq/+Qr371S3z03e/if33pizS3t+LLFHnm+BlHDv/mq1/Ly97wBi6/8VIeu/dfecu7/pJbNm7mnj17CBV9TBemaa2pZ9fZfuQgvP26lxGPx+g/fooNF6znZ/c9SlNbLbsPH6K3rouJ0iyGITFWmGNDp7ABKLCgNUr/6Awrli7lwR0HyAr5Z9CkNhLiB9/5Jd/63J/z8+f2cvM1V7D/0BFGs3OsaG1Hz5dYtGgxv3ryCZZ3dlMTi7KqK8ad+8aRpZAD9PjCEnahjFFWkCUdVdVQbJu88JgUzDQljaULTzbhSWcjG0L+axGP+JhLg6bIGOLAJAM7m0H5dUqqVLZQVQPdFji48LorOWmwugAPtQQhpQiG4VznaiQBc5MokTC2SFhBOecXZ5dJ5SxBQnRY2z5N/XUbxbhXxJJ8GIUMluFHl1RkO40sizCRc36JAuDzx1VH0moXy5RlCVWERgj3vkKZgmHijwSQ9BK66XfCNsTNwBKxsWodtlomHDTIpEyiIYuaQAhLsAU1iVJZwTLyBAI+pGgUPVcAI4ftCzlMM0PWsYthbCXHlG47vqeXNCQ4M5VkaOQMjYl6dhw9ysJEO8MT4zTWx5xjbEjUsnFhBwePT5AyCvh9Mm+69TL29Y1TTo/xuj98HX//pe9TMAz6zp4lGPGxtrsdBR+XXnU9f/2PX2dseJTlK9s5Oj2IlRVJP4qTlq6oftSQRSkjAoNE+ryMXzCAkwVCwQC1kYDDTh8qpJHCssPuXBJrIZnO0VwToSXYSCih8eM9OyjnTMdiYtvWXmec2n6yH1OwpQUIK3pYjHmSRDwaIp3M87qLN3J2corGeA2/3H8UX1SiNRJlQ2c3AUVmbDrlpL8P5+YI2xr18TimJYKPNL7z5B5ee8lGJnMZZEXisdEz+AuKoyzuEkx44UwrHvQJFr9Pc8b6XWP9zkOU9T1t7O4bdO6xt11yPceO76EhFuXY+BT+gOw8IJsczqIF/SSifsefT9gDBH0BDNtgaU09R6enaGwMk5wpcd9PfzN/mJfqpfqvKC+bSUy0xcTUy+ByQTJRAgSslOlUM/8XjBmxXTeNt3I/lROdSl+fFyPH88pQ3apskxdoE4CEC1KeD+Sr5rnkJgOK8splvVJSl/FVTe57Ph8n77re9nglttXSEb0Jqq7sVlSl95JXsupNsa2UcVUDwKpVpQzW69n0YmWU1eTW3vpN5XCuNLnSc83bb7+JxNPryyfAJZe5Wc3L6jdJRa52zrrlPW9cyatbL0am6z1HX4xU1rtMZb9V7rfSC9DrsTif95+7vrdd1STJ3v3O1+5Kqb3LSqyU984nSZ8P/KmWMvxCHmNuCcmhN5jo/1VZr5u2Xgns/Vf1jWCaVrs25rN6cOvFyMDd8nrHvphxsfJ+UmlpUe0c9Erg3Ydr88mJf1RFdvti/Dkr9+eOk6K8Ng3uvbGapYEo77UnwLtKafQL9ZF3DBHLeb9TnK9+Z4/Cm7vjFI2yY/ze1dJMNi0SNg2IycgFQeSQiAfCxFvjdMRbKRs6c9MZJ5Hw5LGzWLKPnJynMeCnJ9ripJO2RWNs3bSSlsYOWntiNNfUs7q72WG8BFGx9SAB20dyLMnk8RmC4QCXrbmApT09fP4j7+KOq7fy5stuwCzbvO62V6P6JPbvPs0DB85y7/bdROUgVj5LKWnwh+/4CFpZoaurkUu2rOLStRdii7mrP8ov/v5v0HTFMQo3dImWUohIKIIaVCkausN4E5O31FzW8TpSC1A8U2BFoo7WZICr122lRlEJJnxk+1PsGjhE/9lxx0R8YiqJoQgaGdS2hSnMFh3/uUBI5VT/XpSIwtDEJA0NQYyywd+87RrkPNTWRVCCYl5uE9SCNLZEqQkHwaecY3wtSKAYJlbSYPfR/aSLOhNTKVri9Q7LKV2a4eiMQYtP5Yvf+wWP79xDW7iJXz62HykeJWWZXH31FtK5ErlsjlzKoi7YyHeefZDxTAEpoLJ56QY2NvQ6iZA7jp9mJJskVZikLdTseFkFhdl+WUYTTD4Fh3kUa47wuhuu4bt//5f86ZvfQKw+yob1Hbz52ttYsKyZiE/ibN8Zh+GzaukaPvSJz/HsmeP88qFHePj4caySRfpIioN7j9O+oJmX33QVO/pPk/DJNIX8hEV0iKY4YKgAQmXhZ3UOY0QN+Qk2qeckwyUbSTAzE0EnmFJg3YKxJAJOfvHsbtKFIoWyzsrOOtRiFksyUEIBdpw5hV0wUSyVSztXoAWDlIwajo+MkTSzLFnUxr2P7OfRXbvISkX6RkYYm8liSjY/2buPhYlGFjd1UBOKEpYDZPKTXLVxOc+e2IORLLJx/VqKlu6kFrd0txMJ+njmwB4SwSZ8KZmpVIElKxaydEEXajaDJuTotoytSei2TaM/SEwLo4rUStPgsaMHeHLXDg4eOMH02BCffu+7SaanGBkdYTJd4ujIEI/v2s0bXvZyXrf1IsKRAANnBzjaf4SJ/CRBU+bM0CzHz/ZT2xbj6YPHGRwaZGJmknQpQEdrN/VqDasuvYjujgW84fo/ZEPvcuxCjsN7D9K6pNMB7a/ZdAFd3V1cfdU1jm9kgQKnTh7gY+97DzvOHieWUSlJFpmpLIGgj8x4ib+68+skIhEyhTyLOxuoNYN8885vs2nLKnbvPUNLbROnBs44KSp/ceu1DiPtyz/8Bp/65Eepawzzznd9Ejtv4jN7WdzSzg03Xcv3vnsft99xC+21HcimxtGTfVz3irfT3buah57eSUOihvp4CDukYgbK1MWaiAdDXLZyI6MT02TL0zx78hTZYp4V61Zzw9Z11CVqyOUtB8u+6lWX8fCR05iaxF33PMSZ4VHuuOQKLtp6MaNT49x1/0NsWbaCick5FDlIU10jf7Slm9esb6A+Aj5dADMyqiRYeRqWrTvgnxjDJLlEqaAh+/3O+aQKgqwWQlUU0gXBRpXwKWUku4hVzuGPh1FEo0olFJHSrSgOAFsw/Wgi4TQcIhqSCGlZhMpeMKGFzDwqZfAlQg6rtmT6KAnA0DYp2ooDvqjCSxCdsuqnLAVIZw2ysyV8uTRmUYSuCCl8Ga2mGckXQhFstoiKvzZGOWuSyxcxfRa+WBhJLyMXi5RUmWi9RjFXds5jRbGdFHKfSDkXDMRgDj85KJlEw1A2VExbsAR9zoMDtVTCFwqTlxT8hk5ACbGxdxHBUpb0yBnWtLQwNXcMfy6JbJjYRpHh2VlGpoZY3L6AZR3NLGhsJpNL01Ebo6GxkZpInNHxcW69/UZKwTKtTVGisShf++GjTM5O8roPfJavfuMXxEMJPvCGq53zdqKQYe+pUe7bc4SPfOtz5IvTmCGDQ6fPUp4zHYmtjUU8EXYk9CtiLQSdVGAfgRqNWMBHbV2AcDDK+FyKkfwcy3t7MaYMSgWLwzNjDCZn2DkwxPbpU3z/qWfoaup2QlC2blng+KCGQoIt9+u03XDceQggqSp/eN21KIZgdEpk83n2Do7ys537sQyDnLhvR2P8bOdebElhYDZFvlgi4Q/j80n8dMdeMgWd0ZkMd1y6wRlT9/QNOTJzqyRRCJgUoyI9XUaRbWojQUHGpKMh7qSTi89IjK99w1MoJdXx67MKo+RSZcamHXSabEpnaiSPogkZusz4VJqMrqP4NcfqobY2SF8o4wDBIQTr8iW57kv1f0YJQM79EUwcMVkTX8LdH2+Jia1YTnxZdydC1QAoR/Z2zaufB5Rc+Wyl3MnLavJu44XCN9xtuVVN5iS24bIJvEBD5bqVf4vtCDDM3Z6YGIkJkJc9KJZzWXSulLQaU69SfuuV8brvuxLbyvcq2Xxi/eflyd7AiF8HmojJWzVzde/fLgOrkknilWxVtt3922WAVbL1vJPaap9VpUTaXU+8Xik5q8Z4rOyXyraJcqXJ85XYT7VJ6HzyMS8Y4GVuevftpvBWSyAWVa09853Xbr8//3nNkzz9v23vAx90QLXnWXQelo73+NzzpvKa8f5dbR/ua5WgqQO0VCRou0C1t7/Eel4Wn1eS7N2ul7nkPTb39//WDgFuV/Hv8zKFnXUrznN3Py5I4Y4PXnahu1zluv9Bgv6BDzpejqIffl8y1fMBfP/dybrePhDg3gsBfOdrr8uadBmelSzKatdGJcAn/j9fqE1leccqca2IcdK1efCCa9XY3dUeErngtlfq6h1rXfsIUV4PyGr12Qp2ofc89kpmq1XlAzDvgxCXrS7uby/0kKKSIeteKwJ4Fn+fD+CrvCb/W5h8t73hBkIRP3ODebR637nURtvEckzWFZZ3trN/12lquqOUUwZ1sTrSUppaJeh4MgVkP0XDQClb1DXGnITeSEh2JtZ/+Wd/zemj+9j+7KMMSrojL5SGCwT8CssWL2BsfJYvfPbj3PZHf8w1Ky7g+MgIkp5hxbLVPLDrWZrVBF/83Mf47vd+SLwmyuBokgOnTqL5JUqGyWxulqVt3fjCKrdsXssD248Ta27h/icfZHVXC5/85KeAJt73kbcTD9Sw/dBeNFNFCsiUBdNFkrELBpuv2cjeA0fQfBL5sTy+do3ydBnFUhz58uKudkLYJKUiG1esYXn7MmKaja8mSN/gCMlcntnxcU6NjzM8PcXaxoXsnDyFnLGJRCK85sbr+fcHf0a46QKmj293bOOCtRqF6SJKXYCQJtMVbKGjpZHFK7t59L69nBo7RUOohrO5OW4ToSFnhvmXf/ou//yPH+PhZ3Zy14/u5+tf+gz37X2MxaE2TuTGKIyXWb9+AWNTM3Q3tnJw+Cybly6m78wQJZ/OXL7oTNoKU2ViiQAbFi9lcGyMUSNFcaZIc6IVxZHDTXDllm2cGTrJ2fEp4n6NSChIfX0j09OzXLB6MUs7mpmYK/DMgX1MZJLOZFcpa/QuamHf4dO87oYt/PSxXaxevMRhdRwcOUkkp9CzoI1FG3v5wQ9/hWSpBAIBworN0EwKNa6g5CRKpo4tjPgEICKkaKoIA7EcxollidAOmTU9vew9cQxbEQEDAjSRsHQDRVOFupdrL9rMAw9vJ9IQo7U2xvj4NKqkkvCHWHfhFoxMnsnULHFFJR0OMHzsGIFEkJ6mZiTDT09jLT9/+hlSqSJdzQ3k9Aw1tS3kcuNMJjPcdsll+GvjtAfDpAoyZ0dPE4oFGR2doTA9R3N7E6uWLubYyCgqKoNH+7ji0itJmykGh0apidUQiAX40re/58h2xeeiBRQMyUJRFF520dXUBlWmZgsid5hjZ6cpF8tIik5DZzsnjx9h04JF7Dt9hsUNvfyvP72JP/ns11CCURTdopDPU9Pdwb49e+moT9DU2OiwsqbsIgOnRqjxiwm5wlxByDktNCQ2Lerl9hVr+da+Q9x2261Mzw4hZ20W18f598eeZiQ9Sk+8hZGRCcYyad7/ljv4+Ne/hiw+n4Ig+ejEQ1EyuQyN9Q2sbllEqjDLxZu2YJgSe0/tpruhh6f3PMNVF9/Kg8/8kq0XrGfk+Bjb1i/hx8/u4IIFi4nVCb/Op1izaDVHjh3BUMu84pVXMns6yQ+feJR8zuDtd7yGFb2r+e53v8ba1avZv+8UiYRCcyLBugs3s2rLjXz6Ex/mUN8ZAraCbJnUxiMMzE7x6b/7DH/8rndxzYVbKM5M88yZUcpaESNbJlwTQtctFnQ0MXhqgj++43ae3LkL0yqRzBoi6BnNb3P5xk2cOjtKbVhjw9KFTkjGh7/9fTp61zjptEpBgHMW5XIWSQmLOFiHqSr87EIaDqAjgjIEKFIoGYQ1PwURBqEJSb3qMDwVOe5IbwPCB9DOYYbq0efyhCOGE1wzOzpHvL7ekVnn9TyheJTizIwD6AkWnDgORS1hliAoSIQC9NOEzlqcazaFrIkaDIOVRy7qlOUQGmmhPMenyphq2LmmZP+5sCDJtgnXRTByZWyy2Ai2l+bIxdPFeuRA1gGi1KLu2CvYyEQ0ReiAiTbUMZM06YgpQqxLWQB9soyVL2HKPnxBP1apTG9PgL4TGerq4tQGTJK6xZ6B47zysvX8cs84KAo98QCL2xbzw8fuY+uq1ezZe5B8AeIibCIUoJAu0lhfw+e/8u98/E/feg5s0k2KpQKRQBAlHmK4bxJDMglHFCzJYsWilTxzaA8zuQJJ8RAr4MMW16Kk0NwYZVKEmgjWrZAMq9Agx1nbu5jG5nZSqTkmxobpn55keGLSefgQivup8QWwAzITY3OOs4DsOzeO2brz8Tj+dT7BzpQsFrc2URsJ89yJM86DC1n3Y4fKrGxp58jICK11URY1txL2SQwn0zSGwhw8O0xGL1EoG0iaYDzb3LJqBQPJafYPjSOIlCJtfHNPD7Zk0l6fIOxTnPtVDoOnJ846FgvCh7CnHHDY5OK69bUvJjN8hicPHyca8fPBf/wpH3/bTZhikFJkblq1zBmLRcr9I0dPO+doKplzbBUSdRHS+QKBeh+ypWCUTTrr67HMIIND/QRqA9gZg7t/9BKT76X6v7fcyUmlibbL9hOTZO97rp+Xl33gvu9uqzIkYj72RSWw6F3uP0geP/DB51lY85mYVwZWVDLx3Amdl7FVrV1iv26KoZcl4TLBvCEWbhtcFl81BkUlK7GSReVtk8vS8ybYzseWc9tRaf5eyWbygoT/G4A6T3+7bVpRv+M/9E8l261y0uf2RaVH4nxVafY+3/uVRvm/aWhGJRvnfOfdb1PzMfrOx87xptB6rxP3PK/cfiXr0JXmzmeYP19VYwG+0GcgygVbXkw/vdCyXmaRNzjDDWBwt1G5vhuoUXldVSbwetvusjhfqN1um4XHn1ei+P9K/S4ZfOcLXapMZq/8DM8XvPFiqxojrRLEq0yq9Zb3evhNQjoqwW7xcO3Cj93wH66xyutTnNNe+Xm17VRbz3usXgZ/JZOvGouvcnvzXf+uvNl9gOVlNv63MPnaa2JIOYUPvvW1tAbqWdbczVUbLuRV115J0K+y+7lTqKpKPi3YIWVe9fLLeM3GS9iwdA0DqUmGU6NsXL+SWSvF5PQsVi7DyYkJkjM6/9/f/Tlf/95PaLBraJfrSMwFmZvMMzacYteZU86E6S3v+FPsbJnjU2fpbGulZKrsO3icZQ093Pry63j929/DM/uPct9Tz/Ls4d1kpTSlQpZCPu141w1MjjI0leWLv7yPN1+/mScOPEZqOMuKnh6OzxwGRjl+qo/nDu9HMSzMoOlM7qzyOZ8/xZR49pGdNFgqeZH26QMtbVEfbUAJyWxZspwTAyMMp3J85p1/xRuvu5Hv3fVdPv39b/PXX/0KcwPj/PzBB3lo7wHOFiedkI8dkyeQbQkprJAuZfnaD35ErV7L3JnnHBlW5+qLCZT9tLU1YFsW1y7fQjzs49n9p3jo/u0sWdpGQ1MrRsAn8B9On50kUVfPP3zmQ9z1xFMYAYvDex9mNJsmN6dzdG6QhtoG1JjE0TNnyed0+sbEiWYxmUqzcEEbN267DLtsEtbirO5qJKnniUcD1DYmUM1zMu2hwbOMpWcINwWYnZ1wZNcCvM2rOhFfgLCmUDKK/PyhJygVLX750JMovgBXrdhEPBSkJlzDzmOHyOcL/PCR7YQUmSeP7MewC0QNlXjPCp49e4x4wUchXXJ8peZKKQbGZ5FDNmbaRPIrjkz4olXrHNaeKYIMRBovMssbmh2PPKtk0rmg7dd+fVBX43ckvZIi0ktFmIBMcsqkvS6CntY5cWaI9vZ21DqF1rY4P73nXoLhKIf2n2A0M4Mvl0SNBJgZTfH0U/sYMcfI6zYXb9zMlos2MFvM4w9GKWdnHPZlb0Mvc5lZfnL3A2x/8pjjafbs7oOkZtKkZidp7W4hlS3w9Z/fxdhQBsUfoFwrcckNAY71n6IcMJENm5nJKdZuWsL6jhWCBIalwztueSXNDfWYySR33n0vj+99lqgSYiQ5gj9m8v53vJ+NizvQpDBPHz3OzZdcSkNTghve90lmciVsQ+fE3CjbVvUyfPoYpbzBqclZdh0/Ta5UxpiaZXXvAroWtDGZTrOwNkGNolBfE+HsdJqHRkYYHDjJ4w88zFTfCM/sfJp/vuteJzDnTP8ID+3aTZ9/ip//+B4ee2oXaxd28Y5bX0+5cA6YTWfzWIbMDZuuJG/rjFp5LrnoGo4deY6FLYsQhnOrF66kSJk1vStRyzKhWo3tU4NEIxHOnDhNIZ/hm//2U5qb61Bra1nesoD+w0PUNTRy8w2v4o9efQtdrTZHjz1N78JOR3J54bbV1LZ1Y8XruO+Rp/j0X/wJIcNmSX0DCS1CbX0da1e0ki0X+auPf5SrN22mSfjPifRQik4QyZLWdjLpPHbewF/yY/oMfvrwI4zMTnD5pdehk+eCxcvp7u5lbCpDLKhxcnCKHz+8i2eP93HVytWsjAa5tC1OT7SMotmo8TbHu0/4ocmWTDQCpuonbxmY4h8RfhELYtklFL+NTxX+eVF8gSiSJhJ1hV1CGFvyoVhpgloOymUKRYt4PIgkmFhGyWEtKiLsIqQ5UkxDKqFqRWQChKJ+dOE1KW4bRh6zVMIoKOATjOgSZi6PGhIpvCXyls/xNjQJoRTzqCL7VtfxhyAWljBnixiWYCGGnfE7EiphKRFsXwZFMAZzOpFwmLpwmFhM+NiFCUaa0EsiYEh1vDbLIv23UHCSiotlC0tTmZ48y+0bWvGbNulSgef2HeSZA6ec8Iqm2lp+8eB+Lu1NsMinOA9DivoYq3uWUC5KpNK6I+MVvq+Uys7DmplUns/+2TvxBWNsW9qLpcl8+N3v5/DsMO96/Ws5Nj3M8YlRTmSmUaQI337gAc6MzpAv6Q7AJwclx1dOlAD4gobssHMFxlev1DKRmWHXkUOcHevnriceFOHkpKfTDoNbEonRPh8TqQz4/Nx68bXIfokNC7pZs6CLlUvaBVaGpIhEc4v1i7uIRANOgIYIYhFyY0mE2DREHIAvVOtjQX0julXmVwePc0iECc2lWNLdiiZk0iJ4Q6CIChwZniShRHDSis5lJbGzv589AyPcte8QJyemHRnuVCbjMPSMWZNy2mBD7wJW93QSiwZh7DTTyTlWtrc4AORXP/pmB5QWFFTJlLjv5GmScomRVJKAJoBcnxMkJZKUrYB9LpwmK5Mey6PaKjMTaU6dPY1uWDRqIeaEJPuleqn+Ly4xyXBBOtfPz51IC7ZfJfjnMusEyOROMCpZDO4kw8vY8ZYXZHF9AQVw4QAcv2ZWie0/D279/eeqmoZ7S7xXLSFXTOa8fm4CuHL3IfbnDR7wTphcwNCd6IjJv2iPCyQIhofLgPMCfF7/JPFetbACsYzLjhQlABvXi8/LPKksL+PKOwH2TurE5LiaxKySXVjZl15moHhftOn5UIMK70QvqOgN13DZkPP5IM73WmV5WX8uA6aSQVnNV8r1kXSZPJX7rAwPcY9FpLLOVy+GvSLOhUpGnetN52XseENmBFjqBaG855h3v152krsd8Tm4rD0vSPJiJu7eIBjveuf7rESbXdbdfP53/6HPzrOsy+hzAT7vOl5mWOWYIc5rN1Cjsn3VJLuV7Xmhctss1v/P+Pf9T6jfBuCr7DM3iMW9f7jntfiMvf1aCfC567mvVZbro1npp1npjVet3DAmUS4bzjuOuOOHW9WScr2+f96qdt654N2Hfj0ee8E7dz8vxAB0q5LFWm0cfmf8ff8hOMvbrsrx4HwAojvGirHcfWDzQvff3wuT79bX3SS+n5MrlFjY3MVcMU82k0JWfKy5YCU7nt2DVTRI1MfJlQpsaWljKJ9HKxvUdHTRP3SGnFGmra7BSS41hMS3XKA5HiVnK9TWqkxM6ST8Gsez4/hM2wEBrlu7kf6ZCc6cPkNDRw1/9eY/4nsP3EV7tAMzOEuIRk6PDHD307tI1Ia584Mf5PMP/4r3v+cz7HjwG2xeV8+bPvxdFvU0MDQxzWfecztjoxn++s5fkjaK1Mlh3nvHa9iwIsrHP38PT5444kyyCUkOsCAYYSJYI5/UqakNs7K3m9Mjw0yOpgkkNAqZEluXrGLXmeNYloFeNIg1BSkNF6lflOCL73sHuVyJZ/cc5hsPPcLLtl7F0b4RRif6kcKQThWIxgMUciV8ikpW1wn4BbumTGMs5JiZC+hKsBCVnElUDdK1oIOZkRESnY0MTYxRpyQc37lcySYiCcP6Av3jM7S11vLdr3yBP/urTzEynqJBMMFMBUuxyNsa3fUBrrpqPZ/4p586vn/FsuH4Om1Ys4L2zhryg9PO8T914iyre1o5lB4nJPuZK2QJhsXEv0x9KE46n+PyVUvZ33eWibk02WweghYR2cfbbruJh57aT8O2NqYfn6G1S+PoqRF0zceKmgQDdomZiWmsuO1IpUMxhRWRtRwf30cqWcIna6ST2XOJviLNQzonDRfsFsF2cRIpBYgn2xhFk2AswLKaVhY0NPGT3Tt49ZVb+MFj2x1PvppY0Jk4CtaK8CATm3vTlZfw2J7jlBSZQnaG7hWtHDo8xPLWpQycPcEfvvK17Nl3mGhMc4DF2eQoh86MELciFM0yt155Mdv3nWDLqhWkZ3M8fOg5LlzWRV5TWd7ahE+uERph2ld0IWVNpmaKBFUfs+k0y65bzuLmKzm87zl++diDNMZk5lImiYDCm9/1l3zw/W+jvjVGJlVmtpglPZAmpaR4x2vfxCMPPcjiZStI6hl2HtxLKpnlhnXreXTvYRQRCKPJrF+6gemZSSKhGCu6ezh98DRP9h8QZxPBcJiGcISEX2Y4m+K2i67ioee2k6iNMzzjB2OYUEjD1ssYwSB2uUzU7ycSVkmmDZYtWkphZoLcdJrunnrGcwq1sRqeO7yLl115Lf9057eR/CpSRKU5GOWVWy7lkV27MGMyl3Qt5+sPPERLc5xvfPHHvOc9b0SNaBTLecpTRdauW41SgClSlHIlTp4+S0tjCEOOOqb/JycGiPv9NITb+NO3vYVnnn2Ux3Yc5kv/+i1OntrJ9m99l3uGTrKssQWfJHFmZpLORCdqUMYwLCKREJnJLH/zha/wjjf/ASsvWEd+dpoPffRz/OAbX8SnZrnz4ce5bPla3v3hT/GX73uj4xHa3dpEXbyd7zx6N2Vb+EEqmH4bs2iy3AklKJEs5vCbPrasvoDHju3gipUrGRufo7amnpmpGTq7OiiUsk6K7nv//ON87XN/4TAlk6kZJiaz2GLsWdFDZko84slTLOpOkIQsGUgFw2GzqeLkDwSRhF2CqqGW08iBCJbtp5SZRRPMY8umnMs7kl2JArmcAP90AuEItvDrkxRsSccQITU+C8sUQRZ58lmRP2RhyyqanKcQaMKXy+PXipQthUSDYLtmUBUflk8irGcoCk9AvwD/DIrFgqCiOWC7bRXxBYKI7Bu77CdEDi0Ywx+08VvC+iAoYpRQLANN8znpzhYpAnKMeEDi9MQw7e1tnDg+xHh2lpDmx9YMrLRMXaNGa00Pp46fodEHK9at4ODIEOVMjhXLVznBIdPpFHv7z/DyVauZU1R+8aunWN3bQP9kmtULupibzVDX3MzBY0eYLeZY0JDg5NQUkiVCic6xqFviCVJWnnVdSx3LAxEGIcJHhE2AeAAkgFKxrGTKhGOKI4sVrDdbvG4LSb3FluUrefbIEUGRJJYIkc0V2LJiOUcGxkgnZ5ygiqW9vVy6cRv7D2ynkEnTPzfreDIKia0qS5yYnGZBWx2ZqXOgntjJlVs28/0nHmJyMoetWw5Lb1NnFzuGBrB1m0BcoTCnO+NlS0stzVqE/QMjJCIhGuK1dNfGeODY8XNepiIixDkmy0lclmSRbiyOwXYAV3GaCOz3uoW9tNVHOT41RVM4ytm5Wcr+IENjM5SsAk2RMLN6AcXnI5UtcevKJTy7r4/JgACJxbgLUeFVqCpoggGfsJkZTjusxWAgQlHPOeO6EhIsVYvH737id/H15aV6qf6PKTHxqAT3qvnxuYm6/xvIV8HCEdsS674Y3yGXzSRKACVe5lg1Fp/XK8/rt+b1P6qcuLleg5UJoV4QrtKDb77f7jbn88fzMsfcqmRCns8Pzuuh5DL33HKZhl4W43/oywo/wMrJr8twqvQtc//3+hZ6tzmf3PqFynvMvwmLrFp4y3wMrfN59lWTazrreLbx27D6RD+5HpiVE+ZK78tq/l5e78Bqx+5d9jfxDpyvKmW1ledhNZ+w+Riw5/PPm68v5/PsqywB8rjebe7fLhg63/rVzicv0OFK/l9sG6q16X9aVcp0X0yJhxTea1mUd2x0fVzF9lxQbz5/RC+Ls5LBNx8Tzd2fqPn8MSuXrTZWebfrvWd4x8vKa6Hy+vDeL7zMV3Efe1UF2/x8rN9Ktt9vCqq90DVRuX/xAKvtHTv/Nyahu+wLefT93pl8wuesUDQJaCozuRQLmhrIpUoUk3ledtEFTkpjwB8go+dZ3dDkgClt4RBLWpvoG+3j8q0XOX5QtiFRyucZGR5Hi8icSaaJhhQKWZ10LklIJAgUTS5fupHGWISjg3001tQ47KJc2WTPwePIahPxRc3889ceZnB0jGTGYHnnIsKqwme/8z3M6SR/+Z438omvfo/Hn+3j5svXObLgDZesJr54K0svez25oo5WbmN8LskXfvATkBM8dvqYI0kSLD0hLdzQuwQpIFhdTSgBmZAW5dl9x8iLJANNxqeqtDbUs/fEUboaWkkkEtQH4yyINvIXb38NH3zFH3D/w8/xZ1/6GgF/iL9/7zt49sh2Mrlhog0aqxetQgkphDQfesmktaGWdQ1Njixa7H+uJORsOFKmsgji0FTHoL1GtxgrFEmNp8kMFURT6FKjSGWbybkJQgE/kYiflF3klne+GzVn0xr20ZdK0bW4i6JpOdLGzt5ePvGln6NoEpdctQ4zIGSuJodPnuCex7eTyhWZyuRQYybdzcJrsY6Er55tHQux8jrhQIixuTkUSWJgLEPf4ITDMKqPh+moSXD7dddgGRKvetlNHHzgIC2LQ5waGKOrrpkuX5i+iQxTQl4atSnM6CxLtDA7kObI2H70jEnCHyGdyaIKtozDoQLKQiZuO35dckhm84oVGHkds2ghByRu37yZQ6khfrpvO5IGP9rxHLFYgJpojZNOLIdVQg0BAorEH1y+jaztI18uccnKLkdiNnO6xJVL1rJxTQdlDfbuO8jA8BlOjZxi+OwYx4cmHV87KVgmEgpR0xCjVC5zZnbMkUS3tyYYHk9x+tgAe4+d5fTQWX7y7HPc+b3H+Ltv/Zj+0iS/3Lmd7SdO8NXPfI2Rk48zPNrPpo5eDp/sw7SKLOpp585v/AtaVOXyRDN1hsmVqzbx6lfewOXLNnHs6HGWdnRxqq/PCR1Z3dLlgHbj0zpRW6JOi7FywUrMQtbxPjx08ChH9h5i8fJOx3sxGKhj/cqFRGrDrFm/Cb8kM5hJcmJkBDsWYGriKFeu30i0bPKlr/zQmXA3xWrwRwMcODnI3OgUmblZxqaz+Lt7KckmkXiAXHIAS4gsa0O0tnag+CWu6uolWPTzrfvv59pLLiWYljh9doSYGuXDb3sfL3/nTRw6dYbu+hbMCSE59XPtxktRgirDZyeYmZ6mp7uLuUmTZQ2NOBQp3aKppp7JzDRf/sa/MVPMgAGP3vklvvqFLzJtwvrFy1m0dANTBZtoKMSZqXEsfLQ21nGi/xTJ7Cxve90rWNC2gIWN7UzNzHHzjVfz3bt+zsHDA6xds4Hd/cd59rGf8sl//BaKH0zb5q5nH+a1N97IBpHoHFOQ8kJSKXGiOM6wnGZFx2IW9HTw2M4dLK1rZWpWaGAjHBk8wVR6Clku09FSx0xmkn/70l8zPZskI8Cmlk7m8nn8ikVLElpzw4Rmp7ht3SKaMjMssCRWNyeQc1OYZhGjWHKCLigb2L4gthwgl89g2TLFsoJhl51wDEMvIRElFNPwqQFsSaIkyVhK6VxqrVKmUYZmrUA+WSIc9GEpMoqQ4EoykVAAw6dT0sJomszcXBZJMonGIKgZlENhwvEIPksk5KrE6xP4gjK+oE0okcC0fcRkifqwjj/WSkyzCItAkFINQTtCyCry9mtX8Mm3XIVRGOPWrUvpGz7DSDrJ2ESGx/btJ53LcsWmi0ll86TndHJmkZWNrZhlg61remlqbMdfFyOkqJQ1m1Kp5NgLlAom69tFvxqOhFQ8hDk5OEdADXP07CAT2VkOHD8EisWSzlZGimkuWbGBxV0drG3potPfzHUXX4xeMGiwLWyRSC7AtBD4FYVg1O+keGOIJGMTS5a48IJFzr2yt73DkViLdPTn+o9imhbtLbXYfoiFgpwdGqekpx2fPysnc+LEab7ynW+QMouoMc3xvBX31JNjk859s7uhjtNnZ2lvjtJUV8vhwVE+//2fMTmecTxjnXZIEkeFv2tj1GHXX771KiRJQZZlh+UcWtDObetXc+WyRZyeHqVQFsxUMa5KTtq4VTCdZYVcWDAFBXop7BWaElG6G2rprqtFC8rkzTI9DXUMzqVojcZZHguzoiHmJIq31MWdoK3aaIQtPe1sP3SW3sVtznEKlqIhPgvhuYjN5hVtTr/IquIk2Uf8KpGw7PSPJklIAj19qV6q/2FVDeAT5Xr+uZMbL+vPy5xyJ+VuuSCgAKJc/zaXjeEs700O/DVrz/UWdCaGv2ZtVJvQuIwp8Vss42UyuCmBYlnvhFC0x034rAx1ED/upKta2qu73WolXhfH57bVm5rrshYrwTRRXr8z7+veyZnLVPKyOQQbxW2LyyasJtUS5WXCeVkl1crdhjcpV/SrN43ZPZ7zVTV/RS+L0O1rt+9EucxJL4usGgPP8YiqkBqfj3VXDdTxMs6eb1MF4PdiSnx+Apio1qfe80gAtZUsQoeJ9Gu5qnhf/Ligrbu+t32V6cXe666S6TNfueeA2xZ3HRfEc4CXis/K9ZKrBO4qgQPvOTEfWFrZT9XYSeK4HNn6r8cSARgJcM9l21X7rN3PuBrQ6iY0i2MU2/tNAD7veeAy0cSP92/Rvt+Xr99vkmj7n023FcfkZemJcUgAfF6PukovSu8Y7AXsKseLSqa3e9/x+iq6y3k/2+eZoL9hymu18Xs+Ga3bVgFkucfqvda861YCfOJ1ca5WHu+HPCB/5f7cBG0x/v024J67Pe891vu+66nnHf/FAyJxL/T2h5su/7us3xmT76Y3Xodf8XHhstX4LY1H9uwgn9GRfRqdzTVktTLJ6byTaHlpS6czGdcUVcy9OTQ+RcivkjB00lrImaRmSz40n03BKhAVy1kqGmVG81niWpCWaD0lv05h1mJRZz1n+/upaQyx7YKt7Dx0gtpggNuuvpB7HtvHroO7+IOX3cSjuwYoJPtQaoKOfClaUvjEW27jzMwc9z22FynsY66UY1vvUn51cB+GMLOX4MN/+GouvvQiXv7GP6HsM1jQEke168mm0vgjNoPpJKYtUZwpO0ybtSu6OXK8n2BU45pNWzh4+LiTNCuFLGbnMqzqaGdizCKpTfI3b3kLX/jej9jU28O+s/2cnk1y2+qV/HL3UdauXcyRE6dIZ8uYBYOrexexqLWWH+w/jAiEFRN14Zs1N5wmsSiOnikSDARY0lZHsaiSNwvUNzZw+NhpBH+v1R9l6cp2hkemaArG2Z+Z5NLFa/jp9ieoTYSZm8khBSE/qQuqCYaQ+ckQjgbQlACXLF1EOmkSaYg7n+uhg3voH0lx1bpFHBwbIT1bxheRqFNr0BIxhgZGyZg5PvLWt3Dvwz9nLmUxN1NAqZOFCxeXr9xIfSLMijVbUTWRKpzi/p/8iBMTOdoaGjg8POJ4es3aWWoCCqruI2vqzBTStPTUkxktkEvlnfATTBlFgA8NMvq0gb9RpTxnoUZkytOGM0k1SybXXngxj5/YgT5rCEIRkYCf1914PY/vPkxLfYSnDhyCoM2SmjYuWL6Ww/2HSWayTKSyXLNxJU8fPUlzYy3FUBf5iXHCdo6IVsve/qNEanzUGw3UNgbx6wWKUg03XXEp33zoO0wm0/S295JJz7Bx6TIGx/IMDJ9GtX0sWdjLcHqCzSvXcs9jD7Fm2SJqgyZ/+Oq38or3vY8aKcK2LZuJxwJOWEYoYOFX/eRmDXQzT9gfJCUimlGpiYXJ5kpMzo2zrL2H6UKK5ro6br/ucj7++a+xbsVSHn3qcZav30As5CNf1AkZKu1NtYzOpvnufb/kqk1bKfkMAoZMtCbCjsNHyafyvOzK61m8sIO+k6fJ6xbjkxO86ubL+dA/fY5br7yc8TGDutoIiUCQRGcbi3uX8uFPfIS1y1eQnZ4kY1uoOZN4Y4L+02Mcnenj2mUrUOIx1EyBET1PeyLMbN7i5Zuu55lTz2LqCof7D1AfT7DvbB96Rue1N9+KbCr0zwyQnZpjspBmS3srp7IF0jNJAkGVkBKhflEv2cFTNDW0cnjoBH9w7XV87Ts/RbcNXnXTDQ7b7JHndhCrhU+/48/5l+98g6NjUxSKWT7y7o/wyb//B3ySxWRmkpAviIZMS0cLPkPnTGqGXDbPz3/4PfJzA9zxvr90ZLJLWxcxOzpLbayW1vYaHtq5j6IIhfBrROvizJyaxA7AKmEDMDTE2t7l7Dl+hCs3b3LsBSR/mW3L1xKM1HPJhWv552/9O7XRWoxMksmJWWKhCKvWrmJkfIiacMRhRQ9OJ1m5eAGUdELBEMf6B5hN5fD7VVYuXcbu5/aSTYSpNTLUXbiZo48eIFaToO/MSVRFQ5FlggGFTLZIQPU5D2pCAZHQW6a2rY6QpZDLp1BCMXRdplQ2UCQTw0nmFYw+EVqtOsEQmmJiFQr4/MKzz8AUvWbmsaN1FNMpZJ9BSA0iidCjct558GJKmhPUEbJ9/MWf3879dz9C1K9xsm+G6dlZ0rk8H33by/n/vnwnV69Zwbee2YsgBApw98iZcwCZkPzKskkhbzg+hP6AjyVNPcxMJp3UXT1kcvOmLfx4/062dqwknU4RDPhpaWjk0e17iSRUBvtmaW2oIadbNNYFmTOzSFiYcza1DXEG5yaxVdVJC47XhwjIKiOjSV63eT0+zc+3nn7OGT+FTYBpWecYxbaCVRZjjUxNPEIym0WWFcKKn1Q+Q3O8kcnsjOO/t7y+g0ygREuwmUNjx7DzNh2LmuhtWEh7bx3WjESzqnCmYDA6eIrdp49haipWuYyRt+htraOoGBimRVewgWPJGYKKwtjMrGNJIJjgJXEfsmBhV7sTCmMVDNpa65icmMMvPpe4uJubBP0+SkWb1GwOqyySgH3YgiEqAD9bqHhtJyHXL6v46mT8tkKhVGZLU6vjZ9ocj5AvlNmVHaOMxSIrzp7cFA26yorFrSysrePus0cZOJV08jME41qLKk5wkC8SJopEIh7g0MQ0b7l4I9FQmK/dt4NtC1s5NTTFntw4dtHmoR8+8rv4+vJSvVT/x5fL5BMA3AvJjM7HiPKymyp94SrZeJUghzd8w53oi0mlKytyJ4TeBEJRLivNC7AIoM+buOr6NFUy8LwTuEqGh5t0W9neasda+bq7D9dLyd2Xt14o2XE+3z3Xo6yy3edjklX6/1VjIXqrsq2uH5/Xq9DrzzcfQ8br4VjZh5UgrAvqivKm0Fbr+0pWaLXkyWr96a7rypXPC4i+COaf13eu2rJeJt9850nldtyqZLVVu55e6FjP1+5KL8xq7Tufv5m3HfNt43xtdtvpZXi523GZnPN9/l6wRIwbXrall0nqbt97vfxnfBrdtrrb8EpR/zuSeedbr5LB92Lkyedj1nlLgNXu9l1fumrnY7W+Ef97Gcze/93yjjHeIIrfpCq98irvP5WJ0l7PSC97z7u+s6yHBf2qF2APVh6Tt15sSrq3DQLgc/1k/yX1j87r4hjc16v5errbcdvtvb+6nrjea8HtnxfL5PudgXwvf80NWMKgW0Rphs49YS+nypgliS2bFhP3+Xn01FGkopDhCONwIcHSKColWuvaCVkWBTNHMFbL8OQ4IcXvgFQ9TU20967g0J7nyE8VaF9e7/j0aZrKbCbD5OQsb7nyan6w70lURebNV1zDU4cPMqPnWNhYT1j1c3RglPRYmnzYpCtUy3B6Fl2yCZZ93Pm9jwEbnfYO7/0Bf/LF7/GW6y7h2/c8TmpW53tf+1989ivf5tjhAVSfkFxp+BQZtSbGliWruP/AMxRyBn6/7Mh418TqkWWJYrHIiFFkrJjl7n+919n+2IknaWnv5LlnHuej//xttq5fyNL2Rdz37NN0NCY4PjdFJlvGLlhQtLnsyot54untWLaNKkncsmqlk1Q6XchxMD1OOW/R3LSI1b2tPLl/B34J8gWD2lCMuJDtttdy8PQwc7ksNdEA2zo7eXjfcdo66gjLKs8Mj7C+oYU+Y4qNNR3sTqcIlMrMpFOULNsJs7h544Xc+/TTTuLrpz72Nzzx1OPc+8RDThLl0PAoFy3uoSzbaJLK0ZlJMoZBWTIpzJRY0dDD2cIEml1DXa3CqkUdTOYz5Kd1ikaKDRdupS3gp71zMQ/84mGWb+2hnNP4+V2/4LKNF/PQ/sfYvHQpj5w8TDFrOsCtnIBc2iDgDxIqS3S0NvHkvmO0xWuYJosZsNF8ilDfoo8UkcUkWDcFZikUu9x42UbuFbI6wVwJ+yimDC5btZK9Z09TwECTFUf+VlsTx1+wWdbTQ//cOGcHhqn313H1gjbuPH0CRVYc37jO2kYawjJ1TfWQyfDk4Bibupayb+AUa5YsIaQo7Dt2gpWdC+ifSxGWZfanTjtsnqCqOmEgcV1C0+KsXNrD9du28pVv3selG1bytft/zgVLVtAaq6Grs5FjI32YSgStbNLV0spcuuSEXRipCbI+P/sPHWVRRzuCQJQrWeQKeQamJ5yAg798//s5uP8MB0+d5NTZo7R3tDIwPMSCxgaOjozyplfdTjabYXYkic/OMG4ajKdzNEXD/MPffp13/ukbuXrbxeze8RxTAlg1i/R0dHHoxBH+/J3v4+Nf/RIN/gBNNe0sWrsUfXSUTD5HeyjAYC6NrYTQ55KOtPfU4SFuv2orr3rPn/HPn/0QGcti6NQQ69Yv5ukn9rK4dxlHB8/QoNVgBkr0tHWw/fhBums6OTUzSiGd5ZZLr+JXZ5/mj5dfy7NH+ijKZa6/dCtH9+9jwaqlbH9mO7qhMZ6fYkFjB8MTI9S3tLC6Q8gwZ+ldtZixwRkuXNfJ139+HwPDs7z+NdfwwCPPMZyZIZ3RUf0KclrCVyNkp5ojxVzSLhKPFeZyKfonZ0ln8jTEQgRDQWZzeWbGMySaokTQMIMSellnIpNBs2S0QIhwSGN2NI2/USNo++iua+bo8Fk+/Nq38y8//Xe2rl3LLx57yklJfeMtr6UwfZKkkLerJkuXLMSvaEzMZJlLZ8mmsk4aazJfIhT2k8+WODk8zLplK4kFJaEZZf/BU9TVxDirZwjlTU6nx1nUuRKh+lUE61H4iopAX83nJLCahkGnYnDgcB+J+jBvefvr+Pl376IUDqJaCqYsxNxl8paJJofI6TmiPhlDCaGKUJBcESWq4bPLFHWFoE+wxGSC4bLDBFzaFed177yDyYNH+KO/+5bDxm5qaMfnUzk0fJy4qTGj5ykbNm+8dAuNdSFWLGzmb7/7CLdtWctfffdu/KpC2TRZ0NDA0FySsrjxWELKa6OqPla0tjGTMsDI8soNSwhqCp/fuYcl9a3MzOVYs6iXoqkTi8V56uB2glYdupqjXgtjGip5vYBqWWSKRTq72pgoTKMldfrzGS5ds5n940fpTXQyICwRaiOcHB5zgC9hXSC8EUUCuHjgYIrkERGUIaS5QkBr2jR0NTMzPYmvCFZQImiqbF57AY/tfQ7TNpANGSkg8FWJgOYjJwBCTTyM0JzUddnW2LxyGQePncISJnpBkyZVozkeYDRZ4MTUJIGAj2LGYGFjA8m8QX1zPWlz2mHEjZ+dcXwXdT+017UwMDeMXDgX5iKASFWW8fsUums7mBibpG9q0uH7O18SbBG5IzsyWfGK8AyMNwYp6WUn/VYybG5btJwD42Nc0NZMtlBmIJlyHrAcmJrC71do8Yfxqz7agkGePDOEIRtOcnTcF6Qs2azs7GZiYpZpK0NenPeKTKImhJ8EC3rqOTM4wuxskkWLWzl6ZIBH7nn8d/H15aV6qf6vCulwAzi8kxsBmlWTf3on4V7grFJu6QUD3Mmduz93olgZVCEABlemWikfrmzHC4Ep3klVtWAP77JeOXE1Oan32Ct9p7wy22qA4gtJuConuF6prgt4egG1+YCjFwNkeLcxn2y22nvzTW4rpb7ua97P0SvTrgbOetd1q1qfznc81crbH/MFYPym5fad9zyvBJfmA9te6Bgq+/7FtvV8gQbzbacS/HD3Ka53F/j4z4Bi3j7wgh/VJOrzSYWrSZ0rt+WCXS4o7/a/+HxcsHQ+ILJy3y/Ut95l3dfdce18JZZzA0bmAwXPB/ad7z1X+nw+mfV8Y4a7zgsBVeL1yiCm+c7x810DXvBPgIXu+O+CVS9G7l9Z7vnklle6/ZsAaWJ5AXC5lg/eNlWu89mKYCT3Pe9YXQnuVT7YeqG2ederBrp7xzy3vdXCkaolrHvB80orjN87yPeRj7zTMdAWDAlbgGHRIOnJLEbO5I6XXcJ9T+8iI5momopiKgSbQqSOz+KLK8g5i56ORoyiQVGTMUs6sXg9WT1NsVBwWBFhv+Z4MkWaovh1H6MT40RIIOklVm1YjnBff+jIHrYt2cChsZP82+d/wL9+9lPsHtzD5Rsu5DVvup2b3/hHKCYkwiFHqdxYG2Jv/yhdLTVsvXAtjz9xgLJh8rfv/yP+5BP/4vhdveyTr+KJj96FXi7TtriNN152MU+NHmO8b5rxUomYpjAykwRTQVVsLmxopa65hu88vRsRLym8r65euIp9+hC1ahjNhjuuv5pP/PROXrHmYkf2dOTwELqV4qQ9gz5bxh/X6FbizKg6c2fSvP2aTZRNhWw+78iFhUn5w0MDRII1jMyNs667hz+44Xo+8tV/cZIQm8MhFDWKWrYYSU6KwE5iYT+XdXViyzIzqSyPTPQ7jJdtLd3sGRpzJv3LFy3gomWr+ZdffA8tHCEiBRzj9GBAY1ljM9G2HmTdYH/fMTKFHIots6C1i6ipOxO4w6OT6KbOso52du89hhlUWNbZQygSo1zMcXS4D6to09gUdVicAiRYt6aXoB3l4qsu4m8+9zlHhmuHSrzi2hv4+X2Ps3RJG31jY0xqBWqNIMNDkwQbg87k78LuNTy5awe3XH8tI2f62XnsBFZCZJIIDz6J0pBwrRLIs5CXIcyeuH7VJu7fscNJopVCkhO68soLr2LH/gOcGR3DHxPnmcG6hsUYcQk7ZzKTnSRdLhJWAjQFaxjOTpGQ45QCJXrbF3FIfC4DA7TW+jkwMU13tImm9na2n9iNWbC48oLlnB2WaW+QmEhN0J+cdXTyIphZVSVCvhC1vhpODZyhPhrlXW95FemcwdDsBKWpDEbMz5P7nmND1xIncdYfibG0uRE1EBYhpExMz2H4LE4d7iPcGqEpUs+RkwfZsPwCDp45yYrGRUhyHr9psH1yiIaaBMeODpCI+xkeneN1t91AWJFpzWRJNi1k54m9jPedpaaxmZqaMAs6WmlrbuAbP72XYilHY6yB4wNn6a6tJ5CIM5Wc5pUXX8rxvpMsWbiGE3ufYaQs/ML8TCo+2kK1jM1OEIzGCYV87BQMpJLFPd/9FXd+9W8ZyRQIHjvGUKyBgmzzj3//FV7/1ldQtou85cZXEFBt9uzpp39qgERzM8f6jrNp0Soe3b0bLeFDLZpOqmk4aPHsqWMO4Lcu2sGS7uX8ZOcD9Na084dvvJ37H3uMVQsWc/cTT7Bh8XKmZyeYLOQ4eWbQCbTYtm4Vb3rVZbzhY/+IT9EckK+YL1OaKBLQJN5xw3Wcmknypx/9FO9+z6s5cmiICy9Zz4GjR9HTZR584PsMnxjmS9/+dybGR9G0KB/549fyh3/79yTiUeaSGW646HJ+9cxj2GULzVbRyyYrVnUzPDSKKvnoSrQQDfvx1yTQrQwPPPUs6xYspyWm8Zo/vp1TR07y9FNHWL2onT0nhrnighXc9/QO6sMxxjOz1EdrmcvlicRrKczl6Omu47nth+hc0sPZY6cJxKJYkpBhhtA0hXR+FskMEeusQ4nUIQaC8QMHURUF1ecjvLSZT7/qUg7uPUIhL3z3RKSrQrkEMRH0IbwYa8JsXr8SgiEGzvSRyZUZnUqRkw0Ghkc5KmTV6SKxQIhlHY3sPniKogIXrF7F03sOsHRRF8V0gdOj40h+2/FfE4EVZt7kotXtzKY1YrJJqlDk9NQMhmFz2YolPH7oqBP+oIjrXaT+WjYXLGpHL1l0tyXYe2yMTWsvIlecxrRLnBroIylCQZy2BLFVhcuWb+GMCLEpm+h6kY6uDjQ1Qmp21LFBSGZyZK08RtBy0phFMm1PUzu/3P8sYctHuiTkziIXQyEoaZQLJfKmgRpRMQqCoiY54Jn4vF92yRXc/dijWIbteNjFG8Ncuf4S7nr8fkwhhfVJXLhmMU8+d4JwxE9eL6FFfJi64LvLxGNhZodEuJDPOW6R9mwEbeehUEj1OQ+DSuLphl9C1WRHjiy2KViWiVCY0ckZbEtC8ctIJcGmhpLfdu5TAp+UJNsJC+lsaGB8fIqSZLGppY2CUebQ6Ni5dRNCOitDwWZlTSN9aeG5Zwk7QSfZW1FxgjguqGl1bCsOzY2cSwGWbSJqkEyyQLwlSMzwEYoEkHNF0oZJLBpmJJUikyzR0V7rPCjb2NLIrrFxRrM5lhEnnwhw/Fg//qDm9GkpX+bRl0C+l+r/4XL9+9wJTzU22Hw+YC5g5bLhvK97J2Xit9cDymUpCPBHTGiEr5DbFu++RLnJt17gqBqY4U58XODMDf84X1Kklx1ROZHytqMayCZKtP31vh/9ByDjhdJk5wO53HWrsZIq+78a401M/qt5J1aCcpWfX7V2e9s+3wSyMu220kexWn9XO45KhlclwDNf31c7FlHVfP4qWTDzlRd8rmTFuPsW56Fg0FQ71hdiv3rbOp9n3wuVCwifbx3vvip9C939uUCOF3z3rudd9nxMxsrPqRKEFcB9NZaZFzhz16/cvsvGrObP6QIUrt2Atw3nexjgff+FQL9qQJ8L4HmPo1pV86dzq3Ib56tK0K6aBNb7ureqedF5160sb19Va2MleOQ+FKrGfvSuI8A4N4l6vra+UFVrc+Vr5wMN5/P087IWq3nbzbduJeB4vrCPyjGz8lwWr3sfklQD5dz15vMX9L7vbqOSRV15DL93kO9fv/JpDg4eZ2I0heEzsDI2kmQ5UqqXX30xx88Ocnx8BEmYrpehobuR6ZEpAqbshBysXbSY8VyGvAAK80XHQ623LcF0zmBkZpwFbQ3EoguZnDpBJBGlMJljupQiZZdZ29hBf2aaUM4kieEAJ3dccyEzaYMaKcRIbpL3vOstvOJt76dO9pMulQlpUJBkGgONKAkfB44cRVEkx9uuLlRDMZ9H14WPmxAoyU4a4E3XXUSbWWbK0thxYB9pS0aKyVg5k1Qy56QCdsUbnSAQX1SlJRYnXlKdSdnAzCQ/+cR7ec8XvsnIdJaSmAlFQLNlMtMFrlq2mIPpaSYG51D9Mgub63nNxVv51/sfZVFdEw2RMPGIMBuXHI+3u88MkgjAVesu4IePPIUIQqwLBJhKF7l83UamU1kWrOjmqQefQ1V0xjM5pICQkRmOBDafM2mtCXHVqq3cu+9pB1w6tH+YV778avqO9zGamsD2hahvrSFRBNs0ee70AM2tdczMZgjV+SjNGHQ2drG5p4af7z9EPBxgYipFLODHrwWYzWV5042Xcdezu+hZ3kh22ObyrRsoFUocPn2amlCIcCTGrsP70BQfdrnosF1uvfVWxgdEkutuworNTFEiKkU4NnmKuBpg64UrSU4VyRemmMrYGJkSC7q7CMRtlid6efqpx5FaGyiVslzUs57vHHgA0jiegW09dSRHM6zftIFIUEPPww8fu4dCqYRZ0FnQ0sRENs3y5gZyyRKL1y5nYDDFXC5DQCmj50SASZG8LAIaahzJ3lRhmuaaFloCPtKpFP7uLp5+ejtG1nJYONevXUu4rQ5/MM6vnnrI8Z0q+XSC5QD+iI9NSy7iqf2PEwn7ePfrX0u4XOST3/ypk/jaFAmwZ2iURjvC6clB1ixeTHv3AmKhAL985BFuuPhS0qU8h/ecYdmKBQ4z0aeB5g8wk52gpbGBVY11rL3lTfzwHz/G17c/zW0XbuPeB590Uqd/9ctHSPlNNrQtZO/Zk7xs/WbuPvkcnVrCmdSnpCJBW0QzWCyvb6OrvZUjQ0Oc6B/jxm3reWTvPkqWwYr6Jichdt3iLsoFOJseZUF7F83+MLO2SdgfwsrmGMmkODjcj1qSndCMVUsWEvMrjI1NEWutY3omzcolnew8fpTezkWYc0UWtDQSbw1z5YYrOdB3nM/++7e4YdNW9p84QiZv0tmSYDg7y8xclubWGsLZADdctZHPf/1nBEIar77mMrZdcg2f/+bnWRypJ6nn2C7CXRyQPkhDbZQVC5fR093Kvz1+Ny9btYHLN63hBw8+Q3N9jB/c+xRqWKGpIUKgGOSyrZv42faHSaUKjvSxsa6e73/zy1xz2x/QXV/LzdffwY/u/xZLGroJaAEOl0eYPDNBTTSGWTJIU0KeNQg11ZLKJLHSZZrqmpmTk9T5gsS1MLlkjgu3bMbMiqUVBkb62XjBFhb3+Dh6MsPE0IiTODs+MUx9XbMDbJ8Z7Kejs5uhoXHCisSa9as5erKPvqOnWbt1Azv3HKA2HkPkl4rzWYRB+GQVWzsXaqMoiuOxNz2XcuT7o9lJGiM1TKaSzpghHno018TwKzK2JFMU6bk2fPUj7+CDX/0Og6fGiDSFHFCpJhDkRN84PW2NDI5P0pHoZGR2FEmF2kiUpqYa+o8P0djRirB+CwdkTowNOUCdCFZwwDFZReR1r2pv53hqnEDZRypd4JrLLufYyaOMCEacJFPSTSyRHuyoSW02L+xB0WpZ2NtOdjZPngwHDh9ltlByfPeUooIc9xMqWuhhldZYPcsWLmb38Z201jewpK2FB3bsJxhV0ZM6ec0iGg5RTBZoqqnh8OCIA7ItaWpiLpVlqpRHFveBoo0iAqEKNsF2P2XNcgJGhPdeoT/He668jYFCivt2PMnCmjrqu9o4fvYkDfX15Ioph50u5zRuuuxS/unHd7Jl+SJOCG8+WyeTLHLzJZdxsn+C0+Mnqa+PMjGScmJv/X4N2ydRKpadUJCQT6Wgi3AK2QFyxRiTnj6XROvkqMgyxYLunDOCgRf0axRzZWyRoCEeiGiKwzRemkjQWFOL5tN4Zug0BeEDGFLRnGRyi2XhelQfnCjMEir7UMIK5WIZQ7GJyH5GkmkuX9DtAKENkQjJUIK+4SPkSqaTWq/JKieOn+K69Us4ENE5/chJ4v4A6WyR9tZmLu5p4pG+PhbX1nL//pOsXrSQ0dkZJ4SqNh5kdDbFIz977Hfx9eWleqn+rysXEHIndPPJ5kRVgn+iXCDEKxuab/JTDaxxmXtesME7aakMeXD/9k6KqhmtVzLEKgEeL7vMlQZXTrC8VW2flcxGL6DolaVWSlKrgWGVTBHvBP43BYG8/VvZh96+mQ/Iqiwvw+58+6lk9Z0PVKtkhp5PpumVbVeCiV7g0QUdKiWw3jCKasynF6pqzLNKFlLl5+WsVyGVrsYO/W2Av/kYb5WA8HyS2spryXvtPO/z92tpY6VcvBpDyQvOVWOYuoC1d9uujFpUtSAN777c8aXy2nGBI1GVDxEqPzdv6MeLBfWqSXW9ybPzhV2I192xdD5gytuH5wPZq51roqoBzPOBW/ONjedbvrLmk9pWssS850c15nflNeM9NypZ2N6qBDm9EuBKJpy7TDUA0Nu2Fxs49KPfYFlvVY41lUFT3nN9vjFtvgcclcfpXiOVwG81xvB/K5Pv9tfdwqKFnQwMjFG0yrRHa1nc0cyyNcsZGhhgbi7Hc/0nHa+kgKKSHs/R2dHFhtVN7D017jCeWttqOD04QUj2kS1nGT41zfJ1i5mcG2NdaxtlQ6arOcj3ntyHXSMji6CPoszrbrqem1/zTu54163UWjEsxY9Ekj99++3s3jnIniOn6ZsYohyDn332L7jjPZ8mpqkUFJvJwRT+WAi5pBNtCfGxt36M9/7NhzExkQyJ97/8Kv710afIZXVWtTYzk8nx0T95N//ry1/mTVdezdeffoxkWkzUba6+YCtPHdpFQRG+Uz4ipsoNl17ME3t3O2yrDb0LKJQsAo31XLp+McNDSU5MTJATabRZneFymuREmrJisaW1jZ3DI46B+8b2Zh49dtaRdjbHm8laSSfURIRvRGsCDmBih2zqpSB903OE/3/23gM6kqtO+/51dXd1zso5Ts55POOcsQ02xmCCMcGAYc2Sl7xLWJYNZFhMztEmGBxwtsdpZjyenCTNKOeW1Dmn+s4tU5zaeluyeV++/c63r//n6EhqdVXdunXrtu5TT7DLFMwV6q1OZlMZLt62nWNnjxON5rB4zMTyOcwWM5Z8RWVOrG6tp8UfYE/fINeuX/G89EqReHx0kFuuuojRZEGVfD558CiNNS4Gz8zgFJI5l52dqzbw6L6nefdbLuY7v9jDirY2njl8ChwmLli3nvD8LBGKmFI5vC0d9D13jJXLO4lE5/G5rLzjta/D67Dz0zvvY3Z6gq5lnTz+zDF2bF5B3/g073/b6/nmL36FteKm6Cyz0t3Igdl+PBWbKqc7f9s28iYbxVgUk93OkRPH6GhsxCIAtkqBhM2MVbBIrH5GoqPYbDYm4nMsb1jDieEjrO/t5uJdu3norj0UA0WKKZmVa5uZnZzh9Ng4q2vbmUjN0Nq8iieffRrZZafN7mckNoM3VIPbJBNsqKeoxBk9O0mpWFJTolU/LpNgpSq8csc2Hjx+mKaGENmsiUQ+SjKeVdkzbrdVZQxdsWEXoQYnfouF7z74KMl0FrdXpqu9ixOnz1BX7+CyTRdwaOQE2ztXUKpYcdgcJPI53EK6rqTUdFa3201SSeOxu1nfHOTkwDTdDU002fyMzKX4w8E9JOcTbNi0ismFaZpsNSTyEU6cnWZZeztXX3MRX/jRD/CUHWxbu5Ln+k5SNFVobqhhtG8aX1cT21ra2bP3EDaXTFNdHaemhljdvpzRqXFcRSej8Rm++y//wq0f/Shul5ONqzeSTIyzrmM1Y8kwD+17Tg2scZVlVq9cQdDuwmKrMDgXwZQs0NVSr4a6nBge4LYbXsO9jz1L2/J6PDYnHYF6MoUyx06c5lT4NGt7VqGk4uydHMFRkZmPpLB7ZdXHs87fQb+OqwABAABJREFUyODCMJsbenniyHGy2TyXb13PY6P9asKtw2pW79VGm1/1WpuemMdqVti8oo2d527hVw88SaaQUtlHUshGui9OR2MDKXeOWy66iC/89G4K2SKOkI32UD03X7mbh08cZOD0LD/6z6/yh0fu5Ybzr+Thfc+pfVq7upb5s1G8ZjuRckpNOJXU8ACFOm8LLQ0WbHkHV122jU99+6d0tDSpvnKNdQ5O9Z/FabYSaK6noakepWLmieeepNnXrPpwivCJYxNnCdmcWBQnLrOZWLlEU0MdJw4foyZUSyyVJJ7Nq9JWn1emUChhrijYZBsjpTiNdjc+l1NNhY2R45JN5/HU0WfVNN1ILE2qlMfklPj+e97Aaz/6HUqKwq4tvSzvXM/hgQOMxxOsDLbxTN8JNejE+efxYcPG6NwkHtnNQjzOptXrGJsfZy4coS7oYWouqt4vSIKRZ1IZxiLgp67WR0h2MbIwh7clSL6YJTuXR7aYBPkM2Sbkxgo9nmau2bGS7z34FCaTnXqfG9muMD4cprm5i4nUMOGZBI1+r2q5EE5m1aTYkMNJNJuhkJJprGsg544yMxhBKlcomytct30Xdx/YT0mkFKs+eyVq3B4iuYyqXxXyVCFFdcgyZZ+Q3D/vVyhSbIV/nSLSYn0WsmdzeOocLGvoxCs5mI7PqN54HmeIhJJgenqW9kA9FXuJiYkwK7t7mFmYY24ujhyU8clW5mMZlJLCa192LS1Nddx1/91c84qX88B9T1PrlNlz5ggmQceulCnlK3jr/djKEHB41bmqGC9QFrRfIbm1mNQkX5HuKz7+JZuE2W6mFC+pwSsWAfKJDjZJbOhqJVvIqqm6wuIiUJFVpt7J+AyX9S7j0ZlBKqkKvoBd9Rd1SDYa/T5GUwvk4gqS/HxYTqlSVOXC09NRfPUOemvbGYvOUI4WWbe8iWeGh+mqCbAiWMPvDvdBoYy31kksLCwJSmpASU9PA6vrgnQ01nHHvkPMhdM8es9Lct2X6v/uEovSFwIWjIs2UcaFmVEqpC0sjB6AxmCQpQA+48JmKfaVtoCp5vGnb4/Wbg0oWKzt1RZHoowAo9ZHRkDKyKjTH8MIbizme6adn5YAq1/c/iV85Itf+Mv7NDBCL9/Tg3nGhd9fKzE1yu0WK+PxjYBYNRlZtVosMVNfegaXBiCJ7fSsuxcDaP41rCptX0YQtJo8WmvHUoCW8bosxmSsBlxUK03GWi2IpJp/Y7VQhWry+8VAKw2w0TNp9f2vhdgIME6MW3Gdqsl59e3W2iveqwf1jKW3BtDGwF/L4NMYeYsxDsWcVS25VoCHxuMZ+954zbR96Y9lvE9ELTUvGX+uVtrfRd+JMoKlap8sIvvXzyNLMQn18mX9w52/RoprZLLpazGvVFF6cMsIdGn71fahtalaGdupH5cf+t9gHWq11PG0B0uLPfTRXyOt9BYPxnnGyNarBpwa7/f/dpDvre95HY6KXU3Gi2eyqgTXKovFWIVSuURLXQ2JkpCJSVy6biX3Hz5OJlXEpJixCSZJRlHZbUGvTCjYTCwzy2w8jqNsw2Z1qB53oXoPg7NTlBIV5IAZKQfrmzrYuXkHJmuaQ339WK0mGlxtmH0K42MzLGRnSCZyFEoK8VwCp8VO0SqUm0IqVyJXrFAn+zi5MEVItrFp4zLu33NEBSOtGfjGp27jXf9+O7lMno7OZibOTHHhhVsozacINTbyu6ee4IKtG3hs30GCjV5h006tuYmZ9DjkFa7cuY5To7McHxpVQyZ2NrWoC9SnJ8fpqgmqC+417av4xdN7MPskVgeaGYzOUiqV6bYGmLJmaMbFqVgYu9WKx+ammM8TxMO0Na7KBOUK+JxuBP9iIZdRU4wdVsFKLBLPFenYfS0LRw8xMzZAoMYBHgdem41oOkGlIEImaplOx6h1uembnFPTaK/aupqDsSmUdIVS1kxWzlOvuMArqZ6G9ryZ8zZtJFqKMxWPkl9IIWKHXbKdodlZFUR82eatbNu5k+/+7EesWtGNVTHh9AtmUFwFaBs7mohMJ3jvBz7BY3f8kLsfeYAZ4YdlrlDX0kmwJsDk5ASunEJvbycFOc7xvjD+ioVMJsV8rozXbKa2NURPYy1nB1OkTFmcVhP//M/f5F2vvx5fUxPXv+oKnn7sOR47sJf1O1ZhMuXpOzBOY0c9dX47lYyFM3PT5HJpvLIXu6fM0ESUq7aex5mJASZmZ3FbXfSsWcvcyBk1GCKeT9DoruP2b7ybj3z0dk6Ep8mVsiKrQE1EFvK7d1z/Kr7zx99z0co2njgwys1vu565M2FKIkAmPE2hUKa9qZ37n3yKK3btRDKZuPvJPaoc0u8VkuQyTo+byakoAdnGpedv4/iJPj709rdy9PQ4yWiSgqVAjTvI0RP9uH1O8sU8owtTvGLXxTz57LOsWN6Gs8bP7FSYhfgcdquHo6Mn6QnUcdW517N10zZe9nevYnljM4OjU1y8+xLuP/UwPkkkDPtp9TsZS8zT5mmn6MrjN7kox5KUO2pw5QuMTc4zMDmC2+LCXmNTWZLYTSQjGTURUySLIplVlpUUsqgMsGUNHcwtTKrM2U+98Y384I77GZybRqj6bFKZprpG9T6KiDTYYlnt07JkUgHAG2+4mpNHz9Lc3MSJY6ex1zqZmAyzYkUn1oKd0YkBAnVerDYX84k4qxo7OXDmGCML8xTSRZXZl82VeOKPT3DldZeoAJsIRyhZYW1dOyfnJ1TZvQgRCMgyWVNJlUFmsyVks1mV+7sqTtY0etgXnUPJVzA5zKoPWqPNyUIqTaJUxG+XcQvP0XyFS3Zu4OjJMJeddylfvfObqgxYpGWbKxKFTB6b5FD9RzdvWsFKd4AVq1fxyN69JLI5RPJNxepma2cjdovERDiNVcmQN1k5dPYUXf4a1ffx0YEBevy1KEoRdyjIZGSe3mA92YqN6TNnmEpnqBW+kYUSjY1+cvkSNV4v/YOj5CuQcRRp9oZY1lzHXCRBOCWCO2QqpbwqtcxRIRNPky2X2dnRhclR5khfnFw+w2UX7uKRZ56gYC7z5itfxXd++yuVabp+ZS+pWIaT4xMUS0UVPOxprOHszLwqcTWbLazvbmQ+ViBVzJJIpilXFFqDXWRKMUp+hUqhSGE+h0WykCvnCbk97FizjEefO4nVivpAKZcrsnPtGtxOE2f65pgOz/Ktj7+GD37lHi449xz2nzhAIpEhVsnyqde+mX2H9/GnI32s7FjF3MIo6ZQJ5Dw5pYLH6mDdih6eevaIao0gfP5UyavNqoa+bFzdwfH+MZXBKFJ3BTC5samR8VSCdbVNPDY8ABmobQ/yd698JZ/5+vdYVt9I/9w03joXFpMFv89OPJojEomrwKfX46PebyHjKDM/mCKby5DM5fH5Haxds4H5qVkseYVTc6PYsLKmaxnpXIpv/OeP1M/ez/zTh9lzaJ+aEB7LCkaglaa2WkYHp/FaHKQLBYpKkVdsXMtMIsVzA8OI4GXBoC/nitisFnK5EmabVWVsS+JzWzwkkRQ2d3dQUiok8xmGZqM0yy4EYXLBmme1u5Yz5YjqhSvAQ8HQX9fWJlz7ODQ7QdGiYMtIxBJZfD47eWuFfKSI2y9jUyx4e2sY2DOExSLREfQxHkvw1gu38P39zwnHPzUQOJUus7W7mYMjU7QF/NjsZuKRLOFkSn3QdN8fXmLyvVT/d9cLSccW80ETVQ3AESUWEL/43lf+Arpoi0FjgqWeQVhtf6KMoJCRnadnj+l/Xsz7z7gg0h/H6POklxzrpcfG89cverXFsahqrD/9gk5jFS527i+GcaZnUonSpM1GUKuaKfuL9SfTAxnVWHHGfl3svYttX43porVxKR+6pSSLemBoKUBMX5pX3WKML60P9QCUHkx5l+89/0Ve/kL9rAd99SCMsbT7Qx/yorWzGrC+VBrqX1tL9at+33pp5mJVDSxcDMzSl1G6q5WYZ/SAWTXA6oXkufr71lhGOa7+PdrfxLwg2rHYPKof3xpIo/e9qzZ/VhvTi/mMVgMB9cCevpZiF+rBx2pBKeJ9elBb67cXC+4tJbk1gnPGedU4/o1zt5acqz/fakzHF8NUXGx8i/prQD/j8TVQTR9kIsp4Lpokv5rHrJ51Xo35vVT/GsH8/3aQ7yMffz8jc+OqfKiYKyMVFKwOJz6vj1w5LdaWalKrkACWLGXyIoHRIqS6EtaymVpbjbrgNPvA7XTjd7uJJqM0un1UsFAwZ8hHsmQqFWILGepbfbzv9TfhsTu4+9FHGZtYwGGT2LlhJU8f72dmbFL18rN5LWrSZdAfYlnXMl7x6pezb+8z2Itljo4OcuS5Y7zl9a/hGz/6MUlZQUnn+eVX/4NXfOj91OZDvO91FzE4McfBfUMMWcb5p7e+neGxee57Zh+XXLiLr9z+M7raavn2V3/B297zesbnF9jUvRpyGRpb6xgfmmI8sUA8n8WWNZE2FbhsdS97JkfxOJy8+63v4T+//lWipTRWl5k2kXo5vcDuhibmC3mOjk6rIMPmumZcfjOCVDIcj5LMCFlUBU9ZJl8p43faVVCgJuBWwb1SWSFbLNLY1kB8LkPQY2E+H6JSGMFfseJxOzgRmcVqsdLqcGOzWhlLxlT2iMNv48qelThCfg6OzxJNzJLO5UknC2rQg89tJZeXkBQh4azhTDqG1/W8zMoiQgnCadrbGqj1WlkVauNnTz2pSpYv7t2qMlSOHD9J+4oW6vx1dLv9bNm+WvWPuv2OO0gIkMJnJRctcN62LZzuG8RV66LR20j/wGnMVjdnJ8bxOCxs6m7H7HDhLuXIOWtRsmU++PHP8P5/uFWV+J08O8R4coF2dyPRcphaVz1DkSka2+qIz0fx2dcRCBbobqrl5HQYZy5OpmjCFrATC8/SVd/GqeEhWls62HPwICs62hkbm6Cp3k8iXsSuuPj4re/lA9//OG6Tj8lwGOGFL1gvQhYnpMcCDdi6bhVSIcuZ8QUa6+x43AH6R6bwB22Eoyledd5lPPDsU+CzQSmLy+YiHkuRzmWRzGayqTz/8OqbOT0xxkJsinxRoaOmCanWRiIRJTObp5hNYg7I7Fi2hkPDfQTtQXwBP6+7+b3c9rF3cMXmDRyeHOTg4ZO4fS4u3bETRznH8pVb+eGPfk+oRmbfiRPcdsvbuP2HP2Dr6nUqYLv/5FHKhQobetqZC8dImPJctnIdP9+/j3UdjRRSJsoiabm/D0U2Y3WYKCVLVATJChOKYNtazOSEPZlsUsdyg9NN1JanXC6xvWkF8XQGyWzHWkmzrLeXY8PjTMZGabEGsXtqKFkLKmDf5PaxcmUPR6dGePOlV/OP//k1VUq/YlknLsVLpDjP1rWbKeQyTE6NY5ZNKCYr67uXccdDD2Axm/jshz7BWz7xAbwmmXPWb2U8OsXXv/hjbvr767GmrczkotQ5HMyFi5Tri0h5iUZrA7FYnKwIdsmVkf0y2WyBGq+LeDyH3WfG43Dhq8jEsgm6O9ZxdOIw5RzUuhxccu5uxiam+PDHvsjbb7yWlEchnslhSpcw5U1k7SWWt63ivJVtOJxu0oUMhWSGuw/vwyYYm44A+VyGBr+bDavWMhdNY7VVOHXqNCu6OtkzcIxz2roQ4tDB4XFqQkIWOUlbQzMZIS1P5QX+znwqTU9Lixqk0NxeT//pMSLZBYgrOAMyyXxJDeLIFArYLLLqnzgzHkOyWbDWWNQHCsVEWbVhsAVkCrkyl27Yrfr0DY6PYPNAs79J9WAbj46w87wLObHnGGl7joXZKPFcmrZQPQ2hGg4O96EoJtoDIXIUqPM4Cc+liZhyKrtMqVTw+v2qPH55basqjX/67CFMwsvQIZOO5VTftmDQSSql4HNITM8lVWafIAWaRJKzSSYQ8jCfi1MWCHKxgtVioT0Y4uzcjAokKQKgKgjvOkll3ioiX8VsVX05zS4LxbRg8SkiuJqA10k0klRZziLB9pztq+g/M05WynN+QxfJTJ6+1CxWxUpSKfIvN97CbCnL4dET9NQt5/Y7f4FslVjlrWFVSwNFs8Ifjx6jx9uEVCdz/MQQr738MoqJAs8cP0pcwN5KkdaODkKym71DRyhECjR4W6hUEjiCdqamI7zqst38/oGnqHgkyqmKKnf21jvIJkuU0iV8QS+ZbJpNTcLfMM1oIk6XO0DI60aWygRrAzx8vI9Wh4/RUorEQoquUB15bwkpWWY8EsNaJ6tMwdxsHotdoifkV8HL07Mzqiet2+/G67Kyqa2VvvEpTgwLD06ZgN/5PHMciaJSwVowUbFDajqjSn8tQjJsg0pChCMJyfjz6b0il9nrcZJP5sibTeoDvaZGN+F4BqdNJpXPY7PL3P3jF/ePzkv1Uv1PrMUWpkuxnhZLcxWlJd5q7D19QqpenqstdvQA2GJ+bsaFrdGXTDu22L+QIGsgX7WFnZ4lId6vZxEaF2XVkoAXYxjqZYX614wJjdVM4I0yPWMqsf53sfjWSxONclK9/5XGpjIy+Ix9slgt1ifGlNtq3nXV5KlLsQdfSD5oBPO0ftRCF6qBYFp/VvPp05cGGlcDgYzA6FKSbiMzbTHAtlq//jVVLWFZ3+dGEFx/PHE+q2v2/5fk4RfyptO2Xyyx2CiJFmP0p8VXq/eoxuDTA+XVzqearHAxuaJ2/wiQQty/Ruaffm7SXz99qnG1AAtjQuwL+fstxXAUZTxf7UGH9ppxXqomfdWOo3+/kZms9Yl+blnMB0//nv8dKeqLZbdVY5IZ5/HFGL1LJS1r87+eTVxtvBgZ09p7tGti9Hl8oX75jxd4aKGNRe29+nt9KUahEdg0vqYv4zX+P+n//09Avnfd9gbi5QIFFPzNQWKjMfUfe7PVgUURvBwJu7VC2f48yJedTSGZJWw2K8nZDM1NNSQLSWSzg2KpQK3fz8TCAq2hVjBlGY/Pc1FLN/ecOInkQGXJJMs5/uG1byKxkOTUyCk1GbLeHWJwfo7o2DRzUha5aMbhtBLPZrBbzSL/UQ2f+OmX/pkHHniae556ikw5x/e/cod6HpdefzEP/ewHXPO2W6mkiyxb3sbHbn4N7/ji7dS43OSyaS7dsZmb3vIJPv3ZD3JopA9n1sbyFd088dxBgjVOmmvqSQmT9joH85EK3roAE2eH2LplExPz03iLeR4aHsbusZJPlVTAKprKqyCfJNapBYnNnQ34XBbuOzPChpo6zqQiKttic3OzmijpdTkEQUpd2M+E4wj3KuGJJwzoE4ksdpdMulgglcmxvbOH09NTlKUCzZKLujqfyjyxmWQyFYkmjywQGSyYmMukWd/Qyi+ePIBstxCs9zIXeX6RbHJAJVlGckms6WxnenyBLS0N9MUSFKQsjd56Guv83PfMc88nL/pcuEQWp5TjP6+/gHf/+hFsZhuDo3N4vG6S4TjWZhtvvfgiJoanCNbU8WjfMRrKbrKCRZRNUqlYKJRzhBraOdh/lNUNLUwthLnuZReSjheZisyrbClLLsJcGbrcTo6PzuAM1lNvrmAOeDEXJEoVMyvam7nr8MOcs3Yj+587wi9//Efef9urGRqNsLy7mQUq2JxmHMki/vZmRkem6GioYXh4hgxZGoI1pJJx3FYPc8ks+VKemy69jEdPPsuJgWE1EMBWb6eUKqBkRaKmgslmZrW7hvFyinghrS5MZZG6UTGjWM1sb9vI6OgomVxCTR5Wk5TrrNjzULKYsChmUnMZXnPZlaxf280P7/wt/joP7b5mlTForzixyzbMFZkC84zE5uloaGJ6aIZCuUw2FuVTX/k+P/zWFxiYG+Lk4AipmZTqISZJZtw2mUQuj8skES8U+OTffYTv//rbuFwuSOTxBesZm5lkdXs32VQYxSPTYPazb+wUiUiJslRBdtl47Tm7uWPfPl65eyc/vecRKhUTNnGvi1MtCek0tDTVU+924LBZeeL0GUw2E5s8fsyeelr9Eu/6xNf59If/jlg2o3r/TYSnVY/HMkV8/iALc7Ocv30nfWdPcON1N/PVn32LVTWtDE5Mccsb38CxU0e5cPc5/MM3v8RrtpzDzbd9mn/57EdYiMbZsWYDp0b62bp6ObOJKPm8glVIQxVFZSoJ8EcpW4RCkUyhqAb+FM1louFZJuOzZGIl1Wu0oFSo5CpqwqhkMqtBA4VYmfauAJ3BViyWMuPhMAF3gCOjIzR43NhsJlYsX8axk/1C9clMKkaDL0h4IQEieEUxk8uW8AedXLRuDeWSxJFTZylYMoRnCtx07dU8eegYg5GzZOMF1vU00xyoweapZ3ToLJPxBZpdfirW52WWNruLhdkZPB4vNqeF032jdJ13AdGB09ikksp+E+CL7HAyNR1WmVhNvlqOnj7Lst4WBiZmCPrEXFdBaMotNkFaMzOTiwmsC7vXRiaRxWa2YpLMbGhdxjN9x1GsCi/bfh77Tx8gFyuxZs1qZsNTDE/PqJJyweMuKxWUUhmLJLN5ZRthr4IsyczsG1PZvzlrGWtOIdDgV9OZReCNmNMKMwU1jEPIeq0umUIyrwZICOafR3aSKGZRciU2drbRPz2LCA5++e6rWIhGOXpyn5qWHAyESGcSZCxCimpSfewUC+TDWTVwosHrZyYZV1m4Tp+M7LOoD6tE+qtiM2ESqbmymVK0QLJSVB9ESR4z0ZkEFy1bhsNmoST56B8ZY9YV4aqVF/CbB+8n4HKRTmewhWxct2YDplKFifkoEZPCfDSJ1aawqXMdk4lpfA0h/GkLkVyBjvpOxuP9DPSN8KF/+yRvu+lWsJpUsFIM1LaWIBdtuIipuXH2HzlOTcjNxVt28r177sHqtqjzdSEiPFitlCtFzuvsxCwpLKTyLG9pIBrPqp6Gwo/U4TKrifbHF4Q1RhuxRIKhRBYqBfomwtgDAolTKJfKan8IUFgwPFssPgqVMvPJDEkRoNNoJ7uQQSmYeP2F6/nl48eQW2xYchJWm0VldgaCfuamFwjWeIhHMxTiBXqX1zM1Hae11oNLkjk6FcZslyhmy5iE36LNisNkxmeV1fGbTJbxuMz89mf3/y3+fXmpXqr/UWCfUQJUzftIlH4RXU3eqkk8tXAN7VjGhF/jgm+pqgaMCYaDYJiIhcvk7dvU118opVbfZuPv1SS+ixmkV9unqMUWjkbAq5rfWbXURe1cjT5k2qL3hUCoxYA2bXuNpfNCvoz675oXoR5QXGw7Y3sEOCMAYD3LyZgaWc1UXpTe98/IdlpMUm2sxcCtxV43As7GhbN2Pvp+WAwU0Fc1ubaxqgG/alt1gPJSUmT9vakB8drx9CBZtVTiFxNU8UJ9ZgQ6tKrmp6dvb7XzWAqE0Zfmxaf5C1Z732LH0XvxiarG8tPYY3qZvLY/vbxeO061Wkx++0LMsaUYm8Z5R9yj2vkvBRJVO341awVtP/pjG8E/Yxu0qnb/vBjgv9qctNR8Vy0ARJQGxhnvJ2N/G+ei//g/YMEa+0pj41Wb81/MAyAj2FfNz09fRkDz/zOQ7223vZG8XEb22NRFmACdFoaiOEMuKnkTloqZirlCLpdSJXKFuRwFWwWnzaYGHOzavoJ0PEleMnP1pg386JHH6akN4XD7mJydJYCdE9FJ9b2OgBVzpUwhXuaOb32WL3//1zx64DBNPhfn7NjEXDjHBz/8dlX2CC6ue8ON1Eg2vvudT/P2D34Kk9lKa81qPvH314G3hlve8x4uqF3GiUyMgfAoKxs2c3LyOXKlIp1NAW7/h09w/Qf+iXf83av4+U9/z5ffdysf/cLtXLL5XNasaedD3/6+Gv4gGGhW2YNHtlHJ5ynlCvi8QSaKYSxxE05fLdOJMWwemYKlQmmujEIFq91KMVPAEZTJzRTVQA7h5ySAt4qIy5VMqm+d2SlTzhVwyjI+m02VPqdyBZSKjNWcp6wo2GWZSD5Dq7+edCpOuVLmvI5O0pUKIaeV/pkwvp7lDPb1qb5S0VRcTc49PT+vgg+X9/Ry/+F+WjoCNNe1U8rEOdw3wsrmBmYyBTU90mwuko4WwWOlwxeipBRxSTaGY/PkiwW621bgtuYYjswxP5/EaTdz9SXncuc9j7F7/QriWSvzU2e58TWv4qqXv4WnHvo5jz39GCNDUSTZzcqmIAcnBgmZ7Qwno9glWZVPNtbUsG3jWh565hnafU0460JYCnMsxHIE6gOcODNAuWIi4HQyFY3hcbo4b0U34QUbHR0ybbVNPPzMPjpae3j0+DMqK7FZDkKdnVDBrEqFV4dqOTo2ScyUJ2cq0CQ1Ey7NCiwGR8VENqOoyZWxXJYrLj2PY0/1sWFrN386+CyZ2SxCYyYSlWvqxDiwMBGLc9WFW+nrn6JYzDE1FcNst1DKlNm6Zg2y38fI6QEiuRh5U5nyfB5zwIpik9jUvpx9+4+j2KC2zsUy+wpS0jx2CSx+J8ubltFwQQd3fOU3OFxOstEUOzds4r4nn+LcDStw2D10NbcQjSWYKCzQIAc4eHoQp1+kgsZV9szZmTGVaRfP5fA7Pbzm/Ev53oN/ZHVPB1MzCyp4aLFUaHU5UBxuFFOJxkAD9x3er4I6PdZ6YlIGSQCfwmssXaLG4SBSyav3uZBlljIVnCEBEgiJJmztWsNjRw6DReGS5auYiOSoWPI0NdRjs9hwKLD/+BGwwvbmFuSgn5ODE5StFtoaWtjc2cFkPMpv739IlVSGvC7W9a4kk8hgCtawrKOBSqbEL+/9PS3eOpbtWk67VMdd++7lw2+4jWU7LuH1b76SbWsvZs+eh/DVuaEk4XXV0Dc9jBBpiuhRIS81F0Uyc4lg0Es8nFOBviIlNrasZd2qRq5/65t4+23vxKwodLR20VXXxr17HmZmOkFNe5B0Oat66eUTRTXcoKe9lrxcpNbqpCQpnOif44KNV7D/zENkcxKKCHGwQ29bK8tbe5DKJTJFhXg6xtmpIYrl55nMb375Rfz+ib04JTseh5uh2Dxui4UmdwCXzUKGHB5bDUq5xLGBYVacfy4DJ556PvCkWOSCtTuZT4RV0G1Nez1Pn+6nKKKDyhUaQ/VqYnI8kyAgu5FMTuLFJOlUGl/QTbb8/MMDNR+jVKGnuZNoYQ6f1ca6no3kCtM8fKiPbd3rSJfjTM/Ns3vDBg72nWJ0ah6TYGxZLEgBCXMccoJJZzbT3hQiPBchaylTihdVcLiSVnA3OMhmCsie55l14mGNOIeKyYzfaVMfFBUFVbwEK1rrOTUyTtljJZvMcsXW8zk5NYKSTRKyh4hnSpydHlYDcYIBN/NzKUyKCXu9QwWiM8L7LmdSgUyzz0Q2nFdT3bds2EAukeL05DDekI1CrsTWltXs6T+CTTZjsljY3dLOidg0C9ksW9s7WZiucGrkjMrulQNWivESdoeFQqWErWjB4bZg9lmZn01w/pYN7D9xiiaXjwwm/FY7xXyZ3s52NflcKWQ5PtTPvPBQ3dDLzOwU0YUsNpcViwivcnh448supRiJ8427/qiGn1h8Ej5srOjpoq//LAvJPD0tTayvD/Ls+DxjM1Nsa23DabeoibWCKXr/idOk80UKFkUNWllVU0d/NILVK1FKgMkNxbkCtjoZSxnanUEmUwly8SKloIIds+oXK1KBHWkzRWsFMWHZHVay0RwZIVPPQW93PX0js5TiBSxBC8sa6piJp9jZ28RAIsvI0DS9LUFCToeagD0zl6CjvpWBsVE6PD61vfFkgZ/88vd/i39fXqqX6n8kq88IRonSs8g0UMAYIqAtTgSg8Lpb3rvosV4IRKzmcSaq2gJnMaZDNUN7fRnlpvrjL5XMqge7jOduBGSW8pLT3qd/zSgnXgyMMJae5aiXHOtDQRYDAbW+ejEeVnqfOyFR1UBCI9hYrT3avo2+X1rpF8XVfKqM19DIZjIyOV8MeFyNZbcYcKVnrulLYxUafbKWAieWGtPG/liMobrYMZYCP5ZidBrl2dp9bpQxG2XUSwFSAizSM52q9YV2XL00fuf8tMpI08vg9axWDVjTs+aqXb9qklYjg28pua5Rklqtqj3w0PfNYnLKxZivWv8Y7QUWA6GMc81izMlqpbcpWEoyv9gDDFFLMZa186pmy6DvB+1v+n5fSsKuB6+Wmif1zD6NXa2XwBofGFQDxv7jBcJt9Oeo31a7Vtp3fR9UA8FfbN9qgKX+vI2Mcv3np8Y4FJ+9xvCYpUpwiv4m5a314m3x4fA7sVplZLtMTW0Ac05R2RCZRE6VU0rCCy9XRG6w4LML3zETl563FZfVSUOgho+896PMlEqsb67BYnMyH4kzMDXBmflJLGYr9SEvFMzMj2dIKSWuvvVjDE3MUlPjpWxSODtwlunwMIMjz3Hvb+9GrNYb3S4sPhtvfv+nKBXN1LqcnJ59juvf9zGuu/UdfP6df0c+KKnMqVQiT25hWk1FNGPhnO4dfOsP9/HxN17PAz9/HLvJRGQuhmyz8vjhZ/mX7/wCv+RQmR8imXchHsFMieb6HnJFM9vWrWRlTRdr1y3HH0Q1RU+EM+Rncjh9NoGzYUtJalqjMJWvmCqq3E1ySpiEhEwyq0buKzrb2bxiPYokvIosRATzz2ZGMSm0NXZQtCnEcnm8Lgsbu9fi93uZyKSYjKRU/yWxYMzkS7QFgjy653FWt9fjNpsI2erYcuklNNZ4VWblIyMj1LQG2drRpZrtn52Ocs7OzTg9IZKZOAWpQEJSKLkUzC4ro9EFRuILzJdT1DU1cOG2LZBcIF0o4jTJ2CQLLp+Du+59CgoKB46coZiZoCRZ+M3dD3LPnd9lJpLmxGiKltY2rO4yhybOIpXtrN2wjNdeejG1QS/dTc2YTEWe3P8srS01FEwZBgYOsPM152KWAsTn4jT6G2m1u7ls6042NjaxsqGHupou2pY385a/+wzfe+Behorz/Prph8gIlla+wPGZGVIioCRdZnXjOvbNjrJ9zQ56ZR+b/R3k5AQeu0wqnOdH3/8jNrebhVwWi1vm4P4j9Cxr5LePPYE5LqlhIyKYQEj/orEss4K7ZLWwsfYiKukS4bkkFsmuykZ39Kyhf2KQhrKLutoAuXJRkIuo+AQ900QlX+amS87DH3BiKpRURtuBySMU8goZk5nx4QVSqSzTj/ZT466hNdhIV2sz03NzOG0WNnQt55FTe2nzLGNwpI+Q7OcHD97F7OwIz+w9wNDJKYZGxnn7q28lkylitsh4PV6+dffvsARl5idzLCRThFNzeCwBGtYv4/joMElFpAqHVOCq1x/A1RhgcirCBedsVgGYWq+XWCWHMHorpQXP1KaOUclsUsE+McaeOnmEazZtZ0dLF8cnx0gKQCmf44nDR3hk3358Hi8XbdlGV30rM5kS9+4ToQImzl29kYDLzb3PnaQcSaqAgriB/BYPHr+D4VKU/PQY+5/Zy48eu4PLOlezZcNGfHkrv3/sHtp8zbz/m58XsCPve8OtTI3107t8pRoKIAJ1BkujWPwS1oCsMvuE5LNkKnPfXY/S09HBv37mo+SKRcwmC+1tzQR8tRx57Dk+c+t7mY8WefLYMX523x+ZS6R5+eW7BEZJQLZy4YZtOH1mapo9hIIuVjeuJhbJMTmd5MrzdzE4vJ+2hgZM5gJlNaNbUmWnsWyM+ViEaCLC7EKEfFHYHcpIdjNnR+ZJphS6upqYSi6wprEVj0vG6XByYm6awakEh8eGODI+os5Np489qUr4m5uWs3nZSmbDM4R8PppEmFAqT1opkKZAvJRleHacktlEtgzz5BiJT6vApN1nV5l1AmgUAJxFMOEqsKK7mWJeIVGskEwtcOjsKOuaO6ht9tHZ2sSutWtUv9TpuTges536UK06V5bmy2of27BgliXG5sJYBD25oKjsQgGGy3UyFReYgxZcFlkF3yp2s8oUNSkKHr8fc1ahEi+ypaudfaOjFIMSzlqXmt59YvA0l6xez62vfhWugERXWx0rOhpUINplsvLaK1/BFTvOI58okIkXMGFVA40KpSJFgfrJEm6Hjbm5McIL07jdDpXpubGpG7NL4aobLyUfL1Nv83EgOcaO3vU8+JOH6Z+aIl4ME2xy4PLI1Jvc9DQ2Irss9NY1E/A7WIhmyM4V6Q01sv/UaXxWN8VikXgsweYNGzlnwxYeP36I6cQ8IxNh5gsF1q1eTpOzlkQyT9DpxV4R/GuFoN3NE08f4mu/eR70qrd61PAQMYcX5qKsa27CYjIxPDvFPcLOojSvgrrTiZjqJzk9l8CChal4Cqlsopwuq0nuZ2Yi6v2bnhYPeIo4y5I6DkrRoio3DufTlEUifchOQ8WFRbJidlhUVqbw0VTtOUTabtFMs8ujgquK10Q0k6KSL1G72k9TY4izk/OqTL25IYSUzmExw3w+z94To7hKMisbGmhtcalhMW21fjoCLoJu59/q35eX6qX6HwfwiUVyNYBP/CwWDHrWj/iul9Fpry0F8GklFj+ixPb/C4voshv/0gbxd+1Lv43xu1HmJMARbb/ib9qirZrXoB6cE19GgE+/MNWfu7Y/sYg0MkT056S1TWuH+NK20y8a9e0VCzKxYNfeawQKNEaRKFV2+udtxf7Elx680F8/rcTv2nvF30XfVgNCte3E30U/a/vQ+kjPcNSOI14Tsmj9WNL6QAMNFlvQar8br1M1wFdcY+1nFVTUSTP1bV2s9H2mgkPaeP/zfrTtxXexiDYu8kVb9bJh7Zj6saBdJ/04137WA5dGQEOcm3Ze2nG1PtC3q9rYNJ53tfvROIbEfa31w19YfJfd+BeprtYnepaaaIsYF+L89fefAD5FCX/O/9Lff963AA61vtL2r+1XADwaaKaBVXrmovY+0dZqYNZSEmRtjhLHFfvRn4vYt7jnjACf1u/6PtC2EV8CPNL6Qj3+n6+P/vdqpR+fxnGlHyeiNK89I+NV214/djSATP+lL/G7mFdEX2gAnzavau3VwFd9X2vt0vpDm5OXqmrsU21f4vh/OdafwT9xPM37VLs3xPb6vqnGTqvWJ1qJ94rzNH5mVAP4jNuJ0s/X2u9LXQPtd+1aiftXA+jEPa0H4MR5i9e0hxRaaT9r568vwYTXf56J0u4X/fyj7zPts3cxj9P/V0G+nvo23rrjInVBIJap+WIZS40Vd5sLu82M3SlRsJYomyRVkqtkxGJVQYRLBgpZkuMzPHuon69+7lPse3If9+3t55GnjzEensTbGSBlq1DraCCWSeO0Qnd3HZduXkNvQyuXXbQVS9FEzi4xm0yzsbme7o7rGB+fBsJs37KdUqmI02VTF5DjkQSJWEldaLoUC89+++c8e+IswzNjhIJehstpZK+NekeQ4blRLty0muGRWRYKC2SKBSYzUTqDbUzGFpiMzTMdmycxlyWVLmJWJMpFO9G5WVxuMz948F7ShTyTyQb6To9AsoLNZ8XlsfGWiy7DZregBCTcLhlFWGJZJExlSZXHPfSjB+mpr4WUwmh0hlPHD3Lxus1YrWZq/CrEQcjlwGRPExNMilKFTL7CodFTDEyMIMsmTC4TyXSBU6Pj6qJN+Fjl8xXe8b5Pc2h6mlW9azj0xH78ckhN+xTsw621QUzZPOHIJLliluNnznDg9CmKIpmxJOHKCP8qM60CXGoM4rbKpCiSjM5wbHCAktWkelXNRBJqUqY5nBNWX5gkC3WdQVy+BtWPrc7hZcPaHbzqNW+np8HPri3rmB6fV4EU4cd4di7OwZNjTKajuG1ephIiQRdGxmbwmp0kyiYiB+McGTlB2SxjzpXI2RQGI9MsVBR6u+p59S3vZu/hx/nUP72LH/77FyFpUhk/FUlR/auE/rDR7CRViHJmZpDuQANj83NECjbm007ef8Nbef1FN3DLq1/Lq2+9hnU9rapXoCUDb7zxelZ3r8FRI1O0F5C9VmSrBSWnqCBdIVKkEi3x73d+lVRW4fzenThdVnYt20jR6Sbk7qBvvh9zSfiCmSimSkiSRMGhUBIgSNnC+hUtVJwS59R24FIk6lrrGZmexeO0cO+Bxzh47BQLsWkOnznCsZN9jMQHyRdyfP+uP9Lsq+VLv/0GE5EIXq+T6y65mM6WZoqyie3bN/CyV53Dz+75MW0N9XhtTpWtJm7I2lyASG5O9Ras8dXgCjh54LFnMOclAh4hEw0Q8Hjo9no5dOQ0JouZX9xxFy3OGpqcTTTY3Vy981x1rG1b1q6y+VKzWUyFMsnpDOWywoGzfcTNkM4WqA/5sWTMFCJ5rCYL4cQ8JYuFSNzK/FyOkMtDc20dA6Nn2Xf4EF/+/Jfx1bgpOCqs7GxhpBDmxHN9vP/yS3js9EnGE/P0utu55i1X8qcDj3LT2/6Bi3tWMJeYx5SHr33u03z9599n25a1zESGuWrHBbTVNZGJ5ShEcmTjGYqlPGXhI2ozc91br2Hvc8cYODOITZYJ+V1ks3F+/buHue/eP0Cdk9pNtciYKQt2m81E//gUEha66jq45/E9KpC1pr2DkKuBC3edS6gxRH1jLWOz47S31tHqq2d5XT2vuPg8XnfJhexYsZ7Wmno2rFlNa6iOi7dv4jUX7OKGSy7ihvMvpLGmiVdcsJEaRw1Xbt9Nb0cLyztWYjaV6K1poKXWiyyXsToryB6zykQNOZ04TSnq6+poaa3DH3KTSSY5PTZArii8+LKk4jkiKTGfJJDzkjoOBTiUTxZIpHPkMwWsihmX24UwWrS7rNyz92miC0nmZxfU+3AmnOTI+DB3PfIYd+/Zy11H9jM5v4C5ZKbgrHDhxtWYSmUqlgo5BXKlHOV8Qe27eCFHpSLCUKTnP50KFZXVt6tlNcVkkfUt7VQyZbZs7iVo9lJnsuIOuDhnfQ97+gcwhyxkE2VW+JqZm0+RzKdZiOf4wwNHUbIW5mNRdixfSb3fwxXbL+DEwBHOTIwQavJhMikoxaKa8i5Y0cWZIhdtOJ/6kAd7xUWknKVYyFMI5xmNLPDJT36VJ/74FI09foIeN/KslXv2PM3FV55HnT9EEQWPycPa9mUU7VCzups6u5/+6UnyEizr7sBmljk7P0vI7CCWjjObSeP1OXjiwLPcd/BJLj9vN26Lk+ZLVlBKlRgYG8aWi7KtczUOt8RCOUtjqIZMfJ5oLElXezOKeFBUC+/bcB5r2mvZPzROW7eDQqWo+uWm01myUzk1cGNlYwNOrKxsr2Uh8TzLfueyVq7atBZ/wKaeuwhnkiTV6IJMssy2xkYqZROFcIlYJE1Xs4+kqYKnLcQ2Zy21dg+v6l6L3SHT4nFSW7EjCTZqoYDf4aCSLqsPPDavalGtDOrMMms7GigmFX5w3z6h72fN1g3s7GzhVTtW47GZ6R+ZwZwqUuNz8sj4KPcODNPY7Plb/fvyUr1U/78uoyzLWEKCqGce6RccGgAkFmvafgSwY9ynWJRoiwxtwSQWI2IRpIFz+oWwtngRi26NrSPeozEvtJ+reRfpF+RicaVfROoXqvpt9OeiP0ej+b6+bfrtxZeWuGpc6BuPI46tZ2gJgEDbRhxPO1/N00xrTzV2lhYEIbYT+9C3V78g1dpiZA0Z92kMNTH2lT4FUy8RNe5HADjiSwA8mi+jBgroz0n/3dif+uumP3/jsTSGTDUGUTXGpH6c6cEY9fufQS3V2+3PQJF+H3qQTTumuD+0dulZQ/pjaX1VDaDTt9XYbg0k0I9RDZQzgsjGMoK1GtimASb6tml9oO1PXLOqElxDYq92TbX7WH99T85v/0ufGvehfWn9ZGx3NRaVBq7pfRf17/8vAJkOiDP+XZuHjP2jAUECIBNfGtD0Qixa/bjTWFbVHkCI1/WJtNUAKm1u1I9Jbe77a9Oh9SCyHlwT+xO/C7BHH34krqERWDReOw0A1p+78WdtDtafq3Fs6IE/Mc9p56wBV/q5Wox3/b2lbafvP21brc/022p/F3OzHjDTg2RGcFV7sDKqO1d9v+jfL/arvabtv9qcpvWtdq9o96Boo5h3xTyizb/ib9pDG+NniP6+N0qNtQdG1STfxocB/61y3X//j08zNHWGTavWcDw1hk22P5/UN48aECELM/ZwRAWiMMvIZiHVrVC2CEBDIZMRPnxeKokCNpeF/uE5dbFS0+snMZamu7OGkEfI6UZxSRYcJhuhhgBBey2JaJpnBg9hcUv0evzY3XY+++nv8bFPvQubzc3RI6eorXWKJATsZiuZYpn5RBbZYRKkKZRchYKiULGbqMQqaniExykj2Wy8YtMWfvunJ1nWW8tkJM7rX/MyAt4QP/vNbzk1MKN6OhXKRXXhe/15m5mPFEkrFcKxKG0rAwwfm8BpdXB6bpJbd7+BnLzAD+6+B4tX5t/e8U4+/M1vqpJlc0EhEs+q0iVTQWFVXS15u5nEfJKEtYwXM7t61xOZmeJoIoylbMJptrCQTnPLjdfzvft+h9PmJD2XQZFNuKxmbELSW4Yre7vJ5sv87NlDODxW3n79tVzz8nfw1ne+jvfdeBOHDvbxxve9jXd98K2cHZun3u6hqcZFT+9ajvcPcWpkCLtDoiRYmTaJ1mADWVOWTV2bCCeHicVjdLesJRKbJZ6L0dPWjMflQi7kmC0U8br9rOxoJi5ZKIXjhHwOmhsCTIxNEQrW8tTQNFcvb+Pf7ryHfDZOo6eB4dgktZKHrdu2snbjav7j9v/k3z73bX54+zf48Cf+ieMn7uPbX/s9Ta4gH/vyv/GDb32Zt9z6PnUsfu4f3kN7VyvPHDxK74pOdmzt5De/eJq1G1ZR31zPF374PS5buYkH+w+hmqRhwmY1Y/VbVTlpQ3sDybkEU2MLKgPt5quv5IEH92B3eIgUY/hMIVZ0dnBs9CTRbJq6+iCx2RRlqUypWMLjlpFNVtKVAm9/+evJZaeZnsoiB11UMnDHnj/iMTtxWD00NfjxBKzMT1uwB8qcnj9DPqdQDuf40m238v6vf1tlOwXqXLzvxneSsUr88BffZyo8x7beDmbCMcxuPzaHwszcAuvbOti4aj2T49MkTAVikRjldJ7zLziH3/3pT6SyRTa2NmGXexkIHyFdyOK1WvA21nJmYIiiuch7b7mVibkpCoUK42eGCXrs3P/oAZavWYXVUeT4yUFkWcZlNbFh+Vqe6TuKU7GyY/12HjryJKs8zTw7Paj6wykihMRqRjIpWO0ya5d3c+DZU9TUu1HyYHeZ8Dl8hCQnT509g0lSUAoVrrjiXIqFDNFZwZp1smJ5L0ePnGTFqhXs2buH5U3LOTXWT0rJ0hysxW93E4nG6J+YVOWXb3r7q6iMR/HaHfz+4DPqw4fOumbCk1ne+5ab+NkffkvP8k6kQoma+ka++ouf0tRcy+x8hIvW7MQluZkvxHj60F6VlSSSZl9zzQW4Sy72Hz9JOD7P9759Jx/5u5t4bmgSXCJmpKLKjTO5nBoocOm52ymlJYbPTuBrdXGib4DV7Z20tLTz8FNPIFPhgnMvwmKTSEdTKnBW55UZmUyQyybIVUrYbRJmyakGuWYrGRQRQpQtYLXYmIhM0F3Xis1uY3I2jNfixuu1kCrkSRfLeG0OBmbOMhdPYXGaaLIFGJycUQGsiiJhkhWVGVdMF1TesqAeWioSZVkkCAvJb5l8qoDVYcYsmVWWoXhIks8WMVslNnZ24nJ52blpC1/99Y9pDdZz3qZtHO47iddu52BfH07JSjiX4oaLd3P3o8+SzxdR7CbsdhnJIlHI5VWWpvD5LCZLWHxWFcwT8wzpsrCBU4GnppYg+XiG1Z3t7H1ugOamWhqCDo5OT+KoOEmVMlQcJhwVC3lLhR1dK9g324cvZyVXLlNM52kIBFVm7Rsvv5jnTk1x775HefWFl1EpWvjt4w+qEu1ySjwsgTdsWM2h8hyOggOby4fFCc+dPMkbr7qe7991J+euWsO+gT4+/d73cPtvf0ydq4kjI6dY2dhEZ2MPjxx6kjpvDeu62nl2sI9YLEW2UFLHps1sprurRfWFlFFIZHLMRiOUBftZltm2di3Hp/rJZkoEbDbVjsGpgoEzNLcG2dnQxP6pKa7cdSnfuetXiHyOhqAHqd7J8no/hw9O0Lisi9ETp9VrkjVnaavv5QOX9/K1PzzDo6cHVem8uCcEY85msXNZzzIWYnGeHp7E5pEwu2SK+SI+t1P1UJybS6sMZI/FS2OjnfFYVPWn3N7QiMli4kQyRf3GWvoePMPbd+3g+OgEUXsB4hVmMmkaJOEhqzCZyRCJZ1S24DnrOxmZmiOczdJdG6B/JoLkNrPC6afZ7cEqK5wNx+gPi3tyGwFnivuP9FMwieT45wNRHr/3ib/Fvy8v1Uv1P6KMLLtqsiT94kxbuC5V+vRL/T70VW0RbZQ86hM2BXhkTNvUy6Q02ZLR/8goX9IDHUvJhvUS1aVSOqv1lfE8FzPZX0xiuVgZ27GYRFT/u7aNAGBfKFW5Wi0mO6y2oNXOt1o7tOtQLVXWyPjRn2+14Ad9yIkATMUCWpPOavvTpKbVrr+27QtJXrX3V5NwLyV/1Y+LxWSjeun7YotwY1/pQeK/1j9MP56XOgejhFJ43BlBPv19WA1Q1fZZ7b5Z7Fz1Ulq9191i7fx/o6pJ5vW1mDXAC7HatP292HljKbbaizm2/tro73uxT2OSrFHmaZTu6hOdq43parJq/Tkav4v3aQFIek+5avvW94dRGq3/m/G6ae/RWHJG+wCjhNgYXjRa5R4xtkf/t8XmQk0qa/SI1fwb9aE9xjCbauepvw+q3c/6fq/W9v92T773fvzvaK9pwO6SGJ6PUrRJzJyZxWY10VJbQ3ghjEiKSKcLFAX4h1n1NjIpYlFVYm5GJMJWVJ+0Gp+VhUiWmnUBTBlFlf/YEkXyhTIdzQ3EEinVgDtrquDzeCjnzBwf71Mlgq1+Dx3LVnLb332CL3/+I7zvo//Kq298BQ6PiYDLQTldIW+rEMvkKVUqqk+g3eKgu6uTgwdP45Bl1Vz9I+/6O77y9e+hyDmyCzl6lzVy48sup6W5g+//5Ec82ncGn8fHOR3NDM9GGI9GePO1V/Cje+6nzRuitaeHHb297LryRj79ifez9/Qx3vny1/PQiSe5/vxzmc8U6A76OSakbSuXMzs5TKEkDMwj9A9OEivncTusjC7E2LZyPYfPHmd3qIXxnILJ5eTU4El10bijdTkH+/rpag2p4RiTSoJcsqgmop6zfjmf/cx/ctdPvolFNlNbU2bfs/30RcPccMkuvvydP1Ew5VnV2Mpbr7uMT/7s59x4/qX84I9/5GNvuZVHTj7L6PAIkxMxXrZxBfccPYnQFbc31ZGwZdns7eXKqy7nI1/+kiqJfu2uDWy9/BV84pv/zi1XvJ6PfP1Lqsm8kB8LBt66+kb6Cwtsb1vP3tPHMTvL1Fo9RPM5kuEUuzds4ZpLzqOuvZWf/uR71PjbuffYowQlJ7LNxao1q6ik55FyWaxWC48fH6TF6ydUX0s5X2HvmRNcuWkbk7E0pkweEfdy9cuuYPcVr+JNb76Wr3zoo/x8z8Mc7D/N8IhIXzWDJCGXLXi6vaqkLJbLsaohxNMHzmLFQpkSLW0t5CIJZE8jqfwUy2qbONDfp0oM13V3c9VFV1KzfBOf+8z7KMYL2EMinsDE7EKSoNfHBR0bwGWlLEmkSwke3buPyzadz2xqjJxcYUvHKiLhJPlihdoaD/uPPEtXfQ2vvG43//aTP5BW8ly9ejfT+QU11KOYNJPJxTC5bazv6CKVq5DN5fD6PNQ2uhk8chZfTYCK1YalWMRq9pDIRohFChTKGTW8oKamhrn5OTUFV65YqW/0MTA1yvjYNK3uZgK1QSJzC+RNJXzuIB6vnbP9k7T3NrN9+zn89Lc/xESOGn+QSCzGVDjBW656HScHjnBqYpBwIovTK+OyCfk+jJ0Oq0zSqy7YytNnTquelaGgD5ywMJ2iWMxTUHXlFRRJYXVvF9MLGZaFPJTsRTZ3b8dMkZ89cB9NgXpWdzbw+JGj5EoVPG4bazpXUd9Uz4FDx3DaSwwNRkiWkmzqWE5rvZcV69Zx7Gw/hWgal8/L+OQYm3dsYv9zB4gmKrS3NKr3YroYQ6iNBdgoQji6u9qZmQ6raZ9BMU+093B2pJ+cUlH7pMkRINTQhslcxFK2YXKY8YpxVbaiKGWKFZPKXq6UMziEhFG8ToVipUSmUMZtN5FN55FtDsxWBTNm+ifGWCbk5qtXcMc997Fp5TJi0YQapCM8+KLpGG4B/LnMeOwu0pUUloqJXFHBXimjKBLJQp6QzUlFltUHAX6Ph4W5YUK+ZqanJ3F53Vx15U6+8Z1fE4nlSJgydDe0MTI3g0mYIhal5xNPAyY1iMLis6i/C/CtlC6q43tld4vqCeo0u/DXWBnom1aBp7H4GCcHT7O+t4dnnjqF2W2lVC5SzJSwCAsCp0Q+U0JQ9yQxOMplZIuFEgpWRaJQqaCIqCarBalSoVRR8IZcOMsW0qUiXmxk8wV8QSdjsQjvufFm/vjAXdgdPmRZYTaRoMZVh8Nt50z4LPYcxAoF1devrb4WpVBgIZkhTYUdazfjNJV5+Onn1HN77cuuYd+p/WobLFRIp4vsXr2JdCrK/QcP09PbzcLENFdfdjlbLmvn+9+5m5PHRjh/yxrmxDXKZxkem0VymukJNrBm2WqylSRPHTyispdddqcKquYdFTU1e/3qbiZn5vDanQxOz6gAt5CgyxYJxSRx+e4d3PfEMzSHQrS2tnLgyBFyGYUVvQGUlJusPcF0OElHWwOJTJZENE65LFh3Eha7mRqfn0wuw/m97ZyZjeCTZBbMwvVPpm9omraAnwavkL2aODwyrTKucxSp9Ql2Xl4FJcvFMja78JuVKGRFDI5IWBYp2mXMHkmVtmfTBdVuQKCyTqvw61Nwuuy0NTbhtUsMz00zNhunLeQmlRPXKK2Gh2xoqSdqgdnYApnpLK31fjKKiUQ+yY7mNp4eHkMpmbB5LeRjBbpr/ZxNRSErYo1gzz17/hb/vrxUL9X/78sI+mgLQiM4o5VYMOkDNV5o33o/MH1yrX7Bt5hfnPHvS4UBVAuIWMznT78IqrY41Cd2VvNj0y+KjQtU43G096v7rWL6Lo4lmE/69FO971I1D8D/IvnS9YXRL1E7njGZ0tjH+jLuTw+S6csIjOoXk0ZASv93I5hUzZvKeL2N/bsUMKcPRvjfrWrja6mQicVAWr1/3Qt5sBnBTo3Nqfcv1NiDeoBGK+O4rnYcI2CgL80/Tz8ul5K+GvenlR5AMo61pXwSjfec/vWl2lFtvP6f1IsJGhHXVQNntPN6McDfUtdGGx96H8P/k9KPFY1ZZwROteOq52Z46GC8X5f63ShJ1s9zxsRf7UHMUvOvfv/G0vz1RC3meWoc81rQi5bEbvTAM/abKONnh6ilAO3F5r6lANhqVW1+Nt63WpK1FjJlBP6M+9O/9t8O8n3m3z5BPCNSXmXS6QhdXSvoP32GRCKNry5AvlBUJT7tdV7Ojs6okl67T8Zht5JNZciXsyqjrwI4nDYR3EcikaHO76GrcTmnh8+gWIp0tjUycHpMXXCsXd3GRet2YZIKDI9Ms2V9F+FYjMOHhhmKzjCbmCcvvOgqRdXjSixk3Ba7arDuVpwU5TzJTJ7tq1bz6InTKrOoweMkJ1v4+oc+SLJQ4LYPfByzZOLiXduZnB7kPbfcxrs+/WmuPPdcHjiyl4rwGbMo1DpqWLN+BaOJKK/Ytop/+e4vePl5FzExNE1TvczCeApvR5Cjp/toCgQpCwDJobDW6uIPpwdU1k6LzUNPg4+xSJqIkmRb5yZOTvcRjqQIIuOqs/Pa69+CLTnPEwPHmB6e58TIKCsaWzFTUNl6Z7Pz1Pvd7Nq5nXsefxKL5KQsrNxLiuoF2NOxitXrm/jTo/uxmYvkU0WufsWlPPLkk5iSDgpSkrQIDPF4OK+9m0cn+8jO53jV1nXsGT9DPFqiq96reoNVimbmS0mi2Yy6wLM6hBzYwrW7LuRXex6mw96M3WpiIhtmbiiOo9POhy+5kC/96XGuWLmO3x86RGfIr0r8TCkBBFZYt2I5Z0Tyao2dickZXIqXaDZCky9E85p1nO0fRMqlKChpEdVJvcfN2gt3s/+JJyBfolxwULIUKZLHkrfw8quuxu4PcfrYMwyMjrKhcxmPDB0ilspSypVxWe0QLeLv9pJIF0jPpvH1eJFMMvlEivR8ntb6GswOB3LBSkgO8MzMcyjZCsvqa/B46tlx6RpqS3V86Z6f0Ghxc+rkKJ6Ag7wAXCwKD935KJ/75Cd48tg+/M0uiskKZWuJ7lAziXyeWkeAf/m3r/Gh294BZol3vuMNfPuHP+ItV17K+3/6PT785g9x3nmXqvfZu99/MyeGxzCJcA+Pi9r6Wur8NZSKGRxuP5lYhPWNXaw+Z6fqvzd8dhqTUiZVybKv/widDctRlCRKMcvW3s387JE/8earX8azx4+qIMXt37yDL3/+QwxOxzGZUjTVtCNbzbT01vKTO++l3VfHZGyWN115FX849BSXbDufRksdX733x9QGnarn5NxInDe++mqK2Hn22GE2rl2NyyGxorWD+flJ/vO3d+N2uNm8rIXXv+EDfO2L/4yntoahs6MqU1ek7pYzZRWMdDklbrn57Yz292O1VcgkCpgVcXVNnB0dJkoeR0XCipnz1m9RAaNtV1zBHd/6MdHiHCcmptjds5aOjnoiqQyDpwa4+LzzuWPPo9Q5PHS11TAdzZCs5AjHk6xr7OGoACGtFRWAJVN6PpE7V8LsMFNKVVi5rJezfYMs72mjwernTGqciXhUDa1Q03LyCg2hICt7uhkYPEtHYyu+YIiJyVE8QRcHjvQTMgdVKa0AP3o6m0kupNjSu5x16zfwp0ce5mxqhjqnH59LRrZ6Va+6eGSOaLSE3WvBY7fjcypEcwrBWi9DY6PYcNBq85K3WgjnY/gsdvLmEuPjM6xdvpLwfJzlrQ3Q4uTo4ydJFDP0tqygHB2isb6Dew8/h8dqU5mA//G+d/P7Pz3MMwOnVTawqLY6IWUPqxYApZh4Ucx9Ek6XUwUuL9m+DRSZSGyOeHQep2xjX98gpkoFSbaq6ecijVfImYW9gvBqk8sSRZFYXFZob2hgfC6sqnQtZosarrGpp4VT42GssoWNXR30zU4THY/Ss7aF/vFJdvSso9nv57FTB9SAorU93XzyY1/jyrddRtBiY33bJp49fJwtbY3EvDYWJieYWYhz99c/z2s/9UnmJjIq0C0iYiRMBENO1c9OBJk0+2uI5pLE0kkqOROy08Ty+g7OzI2Rz5Wo8bvUdF8h4a5xB9Tk3umFBBbZQjyZwe2VSUbyz1sC2Nxcvm0Nvz5wEHfQhTlvQlIU5tIpWtxBakN+Dg6dURnAuVxeTTE2OSwEXF683kYGJ06q89B4eEH1vRN9bxJuA26JfLasJte+atMFPBc+QaFiYmZ4jnQph9UtU2N1qr6i+VSeOXsRU6JMg9eD7JBZFggwMLPAstYa9SHasxMTxBZyKht8WY2f4lyWpM9GvpSjxeqnPzaNM2gnNZfD7repD9a6r1jB4MNnqBTLFJJF1Xqi6ITV7R2cnBxTw4R8tS4yUoXcTFYFDisCRHVIbGxvYbosPoeSzI0lqfX7MHshZ4VSJI+5KKmhQF0ddexoraNvPMpgJkJ0WsTQSzzxp5eYfC/VS1UtEGOx0hagL1SCwSfMvbV96g39qy3oNABtMbDkhUIMjO/T/iZAEi3B02jGv9gi13j+etDJuNATwNlN1jv+S4KlHoDT2ITGhaHWBm0b7dh6ppjYh7791cDEamVkzCzWf8bXjUEI1QBU7dy10hgyelN57XcjOLsYC0t/raqFHOgBFCOwuljpmUfG/tbaXW37aiBTtWPpk2lfqPTXQ2wjwFxNZq1JmUXpx4geGNTaZAzEWOzctFpqjOjH+FLg+gu9vhiY/WKAl2rtfqFxrbHFjGO8GhCsL2NQiL79i42jpfpAH2ijPwdtTPw1bLzFjvFi64VAHe1nAezoU831x9F+N4blVAObFgP7tW0WAzarsSGrAZrG7RcDUZdi/On3sxT4qrVBY/Quxiju+HP6uL6fjNYG+s80Md40ubexXxZj++lBWX1AiJGtqx1jsTYb92dkUP9/AvLd+uG30d3cSajGTrLUwOzQIS4+/xweePwRfDY/ZyNjuLFx6xuv5Ss/+y3ZSB6TR0IuWnHXuXGUYCEdJZcpqRIxsYSsaXZSikmUbHmCckCV2o5XomrC6yZXEwklR6RUIR2LIdlK5KUisZECL7v4Au4/8zTegkxCzquSL5NYUJbMNFrrmErMqYmaZcEyS5eFephSScLudlBIl+jw12FrcnPo8CGUckUNJJifj9FQ6yZUH6I4V1Z9z2S/THQhQyqboq2mlpC/ju3b1/ODX96Jx26jkC3SsW41B595lnt/9wDX3nSVGqYRsLmwYebM9CzXrl/Jg8NnKaTKXNjbgWwxMbQQJ5xPIJtlYpmCymRc7e9kNDHM6y64gK/94U9c3LOM5V1tnC1lCZ8cQhK+WaUiR0dnkd0WmoJ+JhNxrNLzTCK/087bXnkD9z/wKIPT4+xYu5HDg6cxFy28/qZrGBwcYc/Bo0QzSchUVF8sa60VSTaRG8tz07lb2TMUJlWKsNIbpJAX5mMKA5kFQm4nr7nkar5+16+w5+GXt/8Hb/rAP1IsllCcErIwXiwq1AXr8JnKfOL9r4eaBl5988dpc3txdzYyNTaKvWBGFrIzqciRE8NceeE28tNziMDhybkpVjQ1M7oQZ83abvYdOkXQZ8ct2YhmKmxur+PRo8dZsaqXmbmomtTcWFNPV32LmnB85567sSpWXnXltfz4sTvwSDIOl4d4LEo2UybU6MXktZCL5UlOp2jpDFC2WZk7O4836KZQzJFLldR+EWmXgkniD3kwWSoCW+CTf/8BLJYkn/rCt4hn8kgWke1sIpevsLajG6mYpqZjGYPDg8zOzbFpzWoODpykOVSnMnT27n2OhkAASbYwOjGFz+niqx97J80d63n5u97EF//hw6RTFqwuM1/5wfeIpiLYrRbKFZFC+jwOI1iw53StZM+Jk9TVuFle28GTfUfU+9PikEnnc8iKRHdNPRPZKMv8tUzFIqzqWMVsIkJDqIbJmRjb13ey//AJoukk2ExYKwpBq4uZbIoVgRriJhO1Zju5Ght79hzCUS/jLNgwOyvYFSsVi0R4OsHrrrxAlWMWXV4u37CTex+5h23rN/HjX/0BT5eV/rNhNdV218Yd9J/qR3JUmIrMkVjIgtWkytZlj5D2m7nuoos5erofmyySQC1Mzy7wppe/gt/d/wiRXJIffutXvOrmq9jS0cVHPv11Hvn9TzkzOcpvH3yYcqnM7jXbOTV5mqu2ncuaDev41y9/k2BtHXVNMgtTUfzBWiYXJkjFS+zasJ7ZbIzpmTDJZIaVXW3E5qO4ZDsms4Man4WHTpxEKisEzD4V9JiJhWmoDzI+FFbnsxqnnUSmiKVkI1tOkyqmcZptWFwy9c4AX/rYv3L1B29S/eYE4+mq3Rdy23s/rl6rm26+lvrakOqPeHj4LC/fdi6Zkot8bopULs9cZIH6YB1ziTnOX7Wa07PT1AW8pNJ5GkN1ZGIpnurro9bnoaHGx/HRcdZ1rSRbjBNPZehpb+TxI4dYEWjh37/6FX7xjS9z54FnyaXKlJT884EJyQIbero4NjKM1SmzfeUmYsl55mczhIsLlEtFupubGB6dxeexcdHW8zkx0semtRu459mHKCdyrG/o4kx0mnnVm1OkFJvArGCxmJAqkhr8sKqrm1PC69Ass3p5D4f7T9HkCzI5F8Hd4MGaV2gK+hiYmOXqc3dyfGiQ9pp2jkeHmB6YUlN6fT6ZBnuQHVvX88zhA1SsEgvxFN3BTqzuIiF3LceHBmhtqKW9voVcQTDqZBWQFeE1M4lp9p8aYm1XF0fPnlG9FXNi7pIUVjbWUrabmZuNqmEZ5SJqinxiPkOt24dDtjGSW6CUrdBd28TgzCSlYkV9kGSpt+BQLGpK88aubjwVePBkH6Vcid3b1jE1MsdcJkEmmWbLuWs5/NRpbF4bF2zYwfs/8gFue++7yOez5Ao5piIpXrHzQhqbGvn2Xb+imC+o40Mk94a8XuoaXQQtIWYSYTXERkh4U6kcLW1talhGKrHAbD5DLlVkfU8jA7OzZGJFHC6ZHGXW1ddy5OwMWCQ1lF6SYK03RKVSVvt4spxWE9pfvW4tU/EIp4X1RqFCVrBAlSJlccLCzsEnqWx5s9WMLObTaEH9bBK0u5W1IYaTSbobQ8SLCpNTs6rPnz/oIG9RSE3n1Pkwn8xQUxdiJDWlhq64U06S6YTKICwXFJweGQcyUsHEb39z79/i35eX6qX6H1WafEpfgv3wYktbSOolhmLhorGqFmNELMa000uE9YtPo/TJuG/Nv08DfPQgibGMAEU16e5S7EDtmKKqAXvVGFxG4FAPDuqZKkZGm16uVu089LLSxcBM/X6X6s/FmDrGhaUR6HsxLBZjG4y1GJhkBA6Xkulp4Q8aE9FYRkmmHqzQ2vnXgovVrqmWjqvv12pjzdj/i4Gt1cb9YsDai2lrNdakvl80IO17XPu/gGWLjZulwCsBMnz8X/f+ZX7QwGytD6qlw2pt0JiuS53fCwHhi5WR/VVtfnoxEk49y8/4vmrekdXG+FLS32ognvZdz5ozMrKN+12KzVftfBfrr8XAWuM8Z5wTjQCxKH0S7WIPCKqx1pb6LDFeA600VrlxbtOzzduXuC5LnXu1udbIkKxWi4GcGrCnMWSNc62+jaI0KXS1erEg398seKPT6cNUzJCIZ8gsDOK0u/jDI4+yZeU6BsYnKRYqpEwK377jPiw2j5oyuqZuGees30TI6VVTd+vcjbhcbjWRsdbvVNkQvV0t1DlqCfqDnBgYpNvpZ119GyfmpzkdngIhaw04cFn81Mq19LTWkY0vqGb/aZvQiUpqUqOjaFWTPTNSQqiG1aTZksuMy2bGZDaL3ZCYSxCPRpgYH+HA0cPcfP31vHH3NmKZBIEWHzPTcabGorSu76Y26EPJmqgPerhy1zmsbmri8ORJfvX731Pf2ECwuYbW1mai4TBvv+4qtY86Al6+8/63E3IEiMVNKOkSuy67CqWksG7ZapwukekLTruZeLpMKlUg4LbjsVqpt3komRR++OBTXLdrGzGzwsmZOPsPPMelL9vFbCxHtlhRAyUu2rEJWXGowQfXbN2kpoem4wU++83v8tzwEG+78bU8OXCUXZs3MJdP8fTeQ/QPTBPNJFDyFcw2s5ps6ZG9mCfL2Fx2jkTmWCiGSSayqsx5NpUlUchTU3TR5m7hG3f+jt7aNcxOp3ngwSeJCWaZy4bDZCVCVgWgJhamKUoKf3rkEB9+22cokCPrsbGhp5fLd+0gay+r/dIYXM7KFa1MR6aZd1rpXxhTAdidF59LyO/BbLdz1XnnUExnWLaqm3XtK9g7Moy9dznzE1Nk0knM4rjpLO/92KeJpeZxu5xcvXs7v7jvDrxWB1s6u0gk44QCtbzx2stUKSCTFSx/Pv94Ksts/5zq05WYSZLNlVXWZjlZVll0znorhUqefDzHsuYmPvjPn+YbP/k17S31dNQ0saVjNc31ATa2LeeW69/MUDrKSP9pJiNhGkNB1fuv3hukmCgSn59nWVcLJmsFv93FuqYOLrvoPEp5hUve8jrVJ014S/YPnQIHdHT41AAAOw7cFjMOyaKyZ3wuG5s3nsPfX3UtV2y4gBqLD3PFQkeollZLEKliYVP3ar7ytR9QzpdJJQr86Lt38/dvupZyLMvpkxMMTYzy6FPPiUwF9Z6oMwXYunYDWbvEirZ6Vq1YxsblazgxN8G5HR3IAbM6zvwOlxpk4vI41XTZfLHAHx7fx+DYDK+/+U2EGoJcduVljE6GObEwwchQkpDdT9DhYfzUAKs6esnFM7zndW/h8i3LsVqt9HR2qt5/TodFvY9XdndSiCfpGxpnZdMyfvWHu5lOz6oA309/+DlWd7Rg8dj4wy++w6m+08TjUQIeFx9/1/v4zL9/gc7mXiLFNMdOHufvbr2JTcuW4baJkJEcFaWAS6SBmyqMRabY0LWSTDHLjo1rOTMxrgLabgEuxmeZiCbU+7Sx0U99QxMei51dbatodjep4TKCqTk8EaE32IDNU8bpceO0O1SmaDSWZiw6z6/vvuP5tGGLRC5bIK9k/jKXmmUr0/NzhGMLtDcEec9HPsvU3BnGZxcYGB7B67GTTCbpaGwinM5RKls5fHqIomCjWWWcXhu7NqyivbmdRLLAyo5GUrkM89Es4zMz3PvEPjrstRyeGuan3/4x63p7uXLjVlpq3LQEgmpwgt3roMbh58KNm1jZ3MaBviOMTswyX5jjqs27OG/FJqanZ7lo5zlcs+tySqUcG5a1YSqkef/171IfAnh8LtavXKNy5F5z2RVct+t8Pvqa1/Lg7x5HCJMFMm0pCLm8WQWyrEoJ2eKgua1FBZ/KyZwq7a1vuFBNFR+cmKGnvY7Hj+5nangKm9eJxQLnLF/HpVeez7MnD7OudxXbutdyzpZtHBvrZ3AqzN1PP83IVJizE1P89O77+M3Dj3Dv3ke4+5mnODrQRz6TZHljrcpEFf6pHq+T2jY3XU2NYHOze/U6PvaBdxGQmyiWS5zTvol33vAmYqUCfVOTFFIldU6IpeI4ShIv271D/WSVFTPCNMBuMWM2BTk5MofN4iJY71UDbEYWwpSUAnVN9ZzYP4DJLGEP2niw/yhvuuWNeCx+RhfmmEoksZolHu/fz7HTZ3jFhh1YLGYsdonNrV2kI2kydiv9o6OM9c8RmUlR5/NSG3RBOceJwTOMRCJ0BXy01waYjaWw2Ry46p2UiwrbOpYzkkxQ1+bH7bHh99ipdwYpCwam2UypUCCRKahy6x89/SyPD45ht5pxmCTipTyyYBaKUCdhe5us4LTIyE6zCvAJm4iKCE8RlhwiwTmRY2ggrPaVv8mlhtsk80VSYxlMMkwmw4RLcU5PjVBMV8gN5YjFYjTU1FHJVlQ5ez5eVMHqHSvb/1b/vrxUL9X/qBILALFA0H/9NQCfZpouQCqxWBKLD71ZvtE0XCxKNANyAQZqr+u/awEM+mCJaiChZvAuFj36kAgjwFcN8NGOo19cin2JBZb40ph21RZp+kWZBvDpz60as0Xbj/guQA6NsSWOr+8v47GMwQNa32n7FT9/M/5V9XUjWKv1o37RKQAVfX/o+1gLadDaoG2nva6du76v9WEDGmCjLSrFdlqoiHb+or1iX9qXtm/RH5qpvXZu1a6ZtnDWthfbae3VB2hobdcksNq1Vq/3n0Mk9ICG/vcX8ks09o/Wx4sBwtp1Eccwjo3FAADxuv5c9aV/TevDxdqotcN4bkZAUQNI/3KffvEL/wXg0/anBY/o920EP4wgl2D6Ci8yrY8FIKaNF/GaBvj9L+f/IqXDxvN/scw4fb8aQUvtXv3Ltf7zmNG+9CX6SesDPQilXe9q2+jHifazuAbifdr3F1MacCpKA3m0di8G8Gnv0d6nfennP238LSb31u4lfd8b7yF9n2htMYJ0Yi7RUrz1tVjghvY3/Rym37/2erVrq6Uia2PPeJwP6UJAtGNpKcTaMfVBHsb+1Par9d0LVTXWobadmJdFe40PBfTf9edS7WGdsR/+25h8n//k3+PvaFcTHUeHw5TyBUxWO/mC8GyyM6zMYF1QqJQUFSRy1vuoJIpYPFDj9JJLpTGXoSgrFNNF4kqK1lAXdrvCxHSYSlZh7YomJsbSjMTG8QUciA3KOSvldIHGejdNra3MTERYs6yFXx7do6bFCmBPIH5WFe+TqLe51YWN1WkjHBWhBVZcDX5SczH1uLs61vHY6WdV+ZgtbyWZSCF5LLx613mcHB1QJWSj80lK+TS7tmxi76GTxOczXHnBDo7Mn0EqWpDy0BgMcGpyjCZ/gGDITk1tPbH5BMGAH0dFoV54TLk8hKNxzowNMxGOkyiXCDhk7DYL6VkzJXOSN914M1+983vPL+okk9p3vd4OTmWGUOYlArUBSoW0moK4vquePz3dh8XhIjYXJWSzU6mxEI9mKOXLVOJlgj0eIvMp3EEn2bm8GizhqJgxBQUTsEIpXcJhlVXpoVA4N4bqSZtSrA3V8tDRflbU1xFw2rBJFsKxNF63nUBrLZF0nsFYhXI8TJcvSGdvJ0HZzqvf/h7ec9uNjMTi1DsCLGQSfOqWazgxNo2ZLUjKID9/9H5sNgl7yUadx0u2WMbjdzM1OU9dY4DjY6PU1vjIpfJ0tDfRZfLxWN9JrB4ryUyGoMPKhi3r6D87RmQuwrW7zuHuZw4STSZotLkINbZzYugEl+zayf1797K9dwWr121lsG8fh6bSVHIxPGaYSGTY2bmaqdwsEzPztDTXMT07TzH7vE+WkI8KH7RCrIAjINhrZjKVAmvWreHs6CBbfI1MFlMMz0TZtWU5ubyZvpFTXHHOxcxPJzDlUzwx3Ec2m2fLxg3EZ2LMZ+dVVsqm9auRohXmctPIAT/PPHuYL37kvXz4y1/GUbHytte8knUb1tPQtYN/fM8b6YvECNm91NVApAijY3PceMXFjE7Ms9lnZfmqc7nti18ltMpJbDZDR109TotCUoFAwMPylh4y1hSFgkytzUedy879ex8liaIyaRwmJ9HCAkG5ma99/Tt84t2vJyKbSMbirOpYjtsfIui3Uxto5Ed3/4xkuUxmNofZLmYVCYsM2VhRlVDafBbK0TJBp4eFVIyiBXZv2Mzc/Ax2m5tIch6H28VseB6Py6OG79TWe7BazIxOF8kWF3D53XTWNZK3lJgenSWbSmFzyqxbtpLWoJsLL7qczEKYn999N7mkwsUXbMVcMONtrOOp/Sf54Mc+zmU3XMi5m3YhF4u89dXnMB4t88s/7KGYihIv5Kn3eCg5zZSSFZa3txCfTjBQCCMXKwRkL8OTUZxuE+2NNewb7lN9IR2KxGff8WZu/eLtKKUiF6xezlSqQCqaJVAnc+7G3Xz3j7+myVPHVHyOnpZW4gtZIpk51Zqgxuslls6qgS0Vk8J5G9eTTRTIpCFnSmA2u2jzSwxOz6mebqORKF0dTgaHslyyfTuP793LhnW92AoOXDVm5hcWGI8lmI8kUXJlnI0uvHkzc7Ek21atZH//KeyKg7yIGZbFAxATt5x7Id96/FEsVjOr2+qxOTzUu0Kcu3MTgwMDWNw+ktEF3IFGnnr2OAvpCcIzMZXtdvGGTTx86giP/eJ33P7Vz3N8aJ5d25cx5q/lo9e9ha9//l9590c/on5G/OdXPkM8EeH6yy5gbiHM7/70CEeHp9V7q7WhjfnMHHanF7lkYio8w8aVPTx3YgjhvrZ123Je1tFAXyrJzNFZhoRfnL1EeiHHZTvOJRyeZj6zwMDI9POs5kJZZbm5mlspzE6Sz1XobGlkNDxFpWRme08bvT3LeerIcVwWmXg8yZwpQyVbxGK10FZfx0W7LiVdnMePn6ePPMSXvvhlLr7mRla3tRPOZWnw+DgycBaPx469xsbCTFK1Rah1u1ULA8EULxXLuOsc2CwOstMp8haJhpBMY8M6zkydwCJViCwk8dd4iCfSXLB6OzORWZR8jjNzYS5evYEHjh1EEvHIZVjbvpJIbpb33HQDH/rKt1lR10ZnewuPHtpHW1c90ZkEFaeF9EiCmqYAmUoWj+yhp72XseHTSBYzC/E0OExkCkXqFRsL5qIq8XUK1rd4ADZXIGCxEc9mqcjiwZFEqMbNK1ev51sPPaF+jrrtNpobfdRYHYymS4xPjSOiZ0Q6fEcgwGg8xo6OZgajMWbnkpSLRdqCNepDqHgurVpLhOodxOM5iiKB3Sk00wqFiGCum1AyiipXtlgkipkCV593Efc88xhWu4VyuswNG9fhkK286RNf/Fv8+/JSvVT/15fGFtGDKHomy2JSIf12RmmT9vuLZU9V8z/TlwbSaSwRPbvQKAczhotU83DSPJ609y0GPr0Qq2ix8Af9uS3GKtKOXW3/+r8LsPVdvvf8F7ad1ifGPjQy2vRMkqUYl3rPuMVYSBprS4wNPQvQyDpcykux2t+10th7i0lbjceo1ndiDO2cn/4vnmGLlZFduRgbyvia8fro+0c/BpfycxPba35rxvALIxCjZwDp92OUJxvTRPUSWM038sX4HC7GNtXfZ/qAlMVYf0aWmr79i4FN1Up/3GrjuZonopHlaazFWGRL+TYa91lt7In5azE/SHU/VZiWWkqxNmY1oF6T+uvbIKoao24pT8XF2HLGedPYD/pAmWrX0hj+oa9qTGA9U83IYNO3qdr40DO6jfJirfSMUlHV2NeiqslutYdhAsA22jcYQW5NImy8J5eSROu3X0qiq6/F7pMXY7nxNwX5/vmT7yMtK3S0NHLk5DCNzTWkkmXy+RitdR2UCjlOjw2qCQxvedVVPPHMYUwmC4lKjFQyoi6ObJLQzVbIVPJYLTLFTB6r209HfS37Tx4nnyxQUx/E7ZTJLGTImvKYHRIBRx0eS5FjU5MUw3m6VzQxlVqgbDVRcaCCbuVESfX/Ez5Qghkl0iIlt0wxUaDO42E2l8CjSCyEM1REyqK9gjUsFosFyi5BzFBwWuz8/pf38qo3XYfPonBmYAFFet5PSiRwfvC1W3jiTJSJaJquzgb+5eNf56tf+VfGRvopZNJILgfTqQTnr9tAyeLmqWefwO+TERSGqzbt4OH9TxNNZVV5otsSYKoSxi5bmC9mMJUl7CazCgQ02V1YKkEKxRQmuxVbuURNY0hN9J2YmUMqWanIBTLFCm6PSEkU4GoF2WElFc+q8kU5YMdc5HlvLJvwlTKpTEFTzkTHsi76j/VTEwpS71Q4NRKjp9VHLqrgtItAgQrRaIrm+hCzhTLn7djIyvYmJuJZ7vj9nVx6wbm4bS1c98pr+exnPszM7AxT5gQ39K7kzufO4A1Z6ahrJTKdojbk5NDoEHX+AKvbV2C1FBk+O4Jc62NqLobfZKJgg7mpBVYtb8VVDpIlxeR0hHIpw8t27+SpkyMsb/FBKU33mk3c/os71AWnADDy5gqeogNvyMmK7k4eO36Qq9fuZP/QKXK5FLl0hWK5QqvPR2d7O2dHRhgORxAmg0KqLeRkks2iMt+aljUxOTCFUqmoklFHxUShWOKyV1zO6MHjhCsVNm1YxcOPPcIlWy/i/be9g5NDp5jtn6Qm5CQSLfO5n38Xq0hLNsl4/R5W9a7k7OgYH3jTa/n4l79KKlOkaKlQ5/Hx8Vtv5nP/8R08bg9f+s4vBamQr33pE7xs+y6+c++vOTM5TZ0cIF4s8Ksf/Y4LLjqHm6+6lkBI4aGDhzl/yzZu/83vqWv2UFvy8Y3v/ZK3vfuVtLbUM35kit51a9nz3DP86z+9l7vuuJtjA7MsFKO01NdxyQUXMrsQ5uH9T3FOY7fqr1Zw2Tj23CmufvUNWJQSfiscGx7loWf2srGhGcVkYqwYpdtTSzQfxSTZGDo7C7KJj7ztnVz4shu48ZaX0yD7OTw6zKqODtw+B/kUFFIJNm5by94nniNUY2Uqlcdv99M3Mc6OZS3MpWTS2QhWxYTLbWM2HlGN95ORFK/ftJk3f+6rPPSbn/CDB36D2QTTczFuu+Fmtu08h+bOldz++c/w9MABQqEAjYUa9kwfVdODNy9bqaZsC8pmYi6F2VomWymSS6doaOwim5zBZHHR5FM4MDtLjc2PqSBhymUYK8fITxdRasxq4IpgYjWE3Lzj6hv4yu9/wU1X3siz+w8yERujoJSZi2doDvqZicV4zcUvY9/xZzCLII14EsVmJTkfpbe1VgWbXSYT87mECpgs6+pmeChGfbMPs2zjcP9JWl1eYgKYrAsw0D+BSapg8TlotAeoq6lDkQRTM0VCyYKpQN+JGWGXh1Wq8KarX8vTR47QP9uPSTHz6vMvZuuqFg6ensQXtBHyNfCNO35KnTPIZHSOukCQuZkoda0+zgxO4rA42bBqFdlsijMTQ9gsVi5fv4WaGok/HD3Bj7/8j7zxXZ/D5rfj9ddxYt8RlTV5YLgfj9vKxRt3k80VyOcTVCQTz5w5hVkxq0E31qCF1EIOc7lCV0MTp0fHVNCtkMrhqnfxunMu5NTAII2hGlyuAE8OnKKYijM8EcZkgZAvwEJCJDJbkBQz52xdxpHjg+rnSXdTG8/0ncAhQi3MJtrqmlhIzOMpuUiZ8yrL02oxUYiXVAabML1Tnsf3VQDKIZlpb2ljMDpGUXhGCjKGBHaHYCzbsFpNRCpZKvkKlXQFe41VtV+wl6yE/I1MT45jsktcvHk3eSlG0WHDmXTz2KMPEncJ6z6Ft778ZZw63U/ffJhal51EtszYVFg9hvhsFKm03kYv9nyFsXyCNo+fkt3KqoYm9olgJEmmZ+Uy6iUnz/Y9SzRdVENeXDYbPpdbHQ+5WA67y8H6QIjD07Ns37KWBk87v77/LqwuYQlgITWdfd7zzy+xe+U57D31LLfs2Mrtjz5DqN5Ds9PDsTOT6r3tdbiot9k5m42xoblBKO2ZjKSoC7o5eGIck9OM3WalkCupoKfDY6OQLqJYFRXIz2dL6jGFvYGIu89n8+r8K0BNIfF+3ZVXMjwa5sDgYfK5Irs72jg4McUN29Zxy8e/+rf49+Wleqn+ry49ACYAG+FRJ8ror6aXES3mBbgYmGf0jtN8ixYDxoxllEtW20a/aKwmhRK11CJPtEmwk7SFtR4s02qxZNvFgEC97Na4r2qv6QHDxUCsF5JSaudZDVQzAlPGxXW1Mi7k9QEAi6VJGgGnxVJcq7VbLOSFrFR/DG1/mmxXDzwY/dr0qbHVQFBjH+rZRC/m/dVeM0pntX3qPd70QSzGMibRvphrrMnZl0rJ1ZcGkP+1bKDFAFtjaaCf3uuwmiS12rm8GNDvhbavVvr3iHaJcaXNaxrwqS8NXNZfh2ogmBE0019/jRmpAXYvJEetJveuBiq90Pnpy3jcan29GPi52P7+GuCqGsC61H2v/3zRqhoTsNpDJD3gqAH1+m0vNDwgMT500TP8jEnXxnFgBPwWu1dfbL8uVYu1T7z+YkG+v5lcVzy57wg2kEymcDgFEGQm5JWodzUxMTnE0TN91Hpd7Fy1nP2HThCq8ZBMx/CYHJjKMuaiFZ/HzoplnQjRqq1gpZQXMkCFgbND1NpcXHPZJnxBH70NjTQEnaztXYEzZSYan+Xo+CQBmwNvg5tkIg95VC8kU0KBVBnJLuE12Wk0+ykmy6r8rpwpULIVGU3PkVcKZHMlXG4Zq9WMUqzg8/lVkEcwdh648xFuuOByXv66y/nNDz5P1lKHJ+Rj9ZpNKlvpyguvYLAsmApubFYbwyOj3PSOa9hz6mmiigAKPdhkH7lcjgee2sczB55ky8qVWHMeUrmsKgObSCRwOWxIkpmklGDHys04TD5uOfcqrt68g3XNHSwLdKgpvH1nzjBbjjOXX2Ail+CZU6cZiS4gOe2k8lkcZjN2h5ViUVE988r5ErmK8HESF90kxHKqP1bJ+jzbMa9UVC+lQrlAbcbMBSLRcyHC2HyKormE1+bG67HiFQs2i/BFsxMv5un1yvhlE+PRLFOnTyOVKux98hg/u/enPP3YH8kXFHasaqMh5+HhU2P0BrzYzGZOnB1kIjnN/sF+3HYZSXgyRqe4YuU5TEeinDoxiJJMYlacxEppLA4z7pSVoekzBDqaueX1r2HXum7Gclm89hKnpudJRgsMnTqByWKiopSxuECWwSaLcJcsq1uaMMckRoYnsFYqJGJF1Ti/rb0Dk93F0OA487mM6psoOZ5f3DtlO2bBPPU5mBqcUr2qBAWrUC6huE1YrTIHHn+WzkYbb7jqGkrTQ1y55QLe/6F/5Nc/+xHDR4eIlbOU7TYuuPYc1cNPyHA3bV1LCQvZRB6708fDxw9x0YXb+OMd9/If7/ukCorbLG6CLgczmThXXX4+EMPjCLLvzBhT4Shuqwer7CGVSPOOt9zEP/7DG8iWMiSyZrp9TXz7nrtY196qevZZrCUuunY33/3670gulNm0bhP/8NF/5hVXX8ODD+wj0NDEKy85D58/wCU7tvHkw49TW3Fy3ppdxOYSjMVzzETCtLUG+eNDv+PHd97ByMICx0+f5HPvfC+HJwX4Y8WUKzMpkoKjZgbnwzxw72O8+43vYPDsMP/+2U9QKhVZ1bsMs8fMBVs2qym8NnOOqClDYnoBs8NOLGeizuvB63Oxq3c5Z2YWkCxlZLONrCzGsJnf/fx+NZynPhBg2mHn+JN38t0//Zp4MsdMOoHPaeeBJ+/hw5/5JKPDs+ScBahYafB00p+bxImVS3btIpqOEJCdNDs8auJ3LpnEJ9uxSDLJeJSWgJdsssCZ6RJbQ120eevonx6haWUz5RRU3BUaJS82u00N/7h43S4+85MfqPLu+569n/H8JLJsxyqZ1XE/vRBX33vP3odpCtbT6GvDE3SzrKkZV8BFLFliS3sPdtlBq68ep72Gxw+fYCEfYWBshPDMFOlMhne99SbMZQW3y4/NBt76IBeu24nFqtBaH2B4bFSV+woPxtt27VT7+4OvvR7JYuWJo3s4PXEaiyzR6veyrsvGsbNxfv3Yg1z/uvep92wlD+lCBovVRo3TQW1tiNnZuAoUCVBUtgnm6zSrujfikO3cufcpzHY32UiBK97xIbav3YLT5OT04eNYvFZOxydQ5Ar5fIV7Hn2MR489x+NHj3Pg0Gm8JQcOyUoincJfdpCPZsmkiuxctUaV+UqVsso6bLJ7ufOJxxidm2UgHOauvY/S01xPplxAcpg5Z/06Mtk03U3L1ITZnJJnz96TKBZJTck+cvYUPa0N1Aa8tAR8+CQHisnOtDehyqkFa6ysKKr83O60qg+QKopCKGCjqd7DB//+A8wXYjhsdtasbFeBLrnNjuI3qb6c4iFMncetphHXOOwU5nNIZYmSucxcYh65ViaTzvG7fQ9z/8OHuP++PRwfPkouIOwiShSUCuG5OLZsEb/kpa25i1xOzFEVUpE0DqcTn8eBxWxWg0kK83mKpSIm8TlZ28iazmZefuEFzI+c4dn+w6xtX0UpVcYvu2gNBMQHIvWSi85gSAX6Vrc2s6G1hc1uN/fs+xP+GifFeBFlssDNOzdz22W7oQSnJo+pab/Co7OnJUTnip0cPzOJr9ZJba2XOpeTswtRuvxBjgxO0T+7QNFl4uTZOTZtXceyjnZWtHUiO2wqEy+fyeNx2rFarGoivNVnVZnjwjtXePrJblm1sNi6fgUeh5t7Dz7Oc0NH1LZcff757BubwOKy8stnnvcbfaleqpfqfx/cE1+itEWTXrYpSpOl6Rf6AqjQA136BYcmb9V/VZMr6llC1Rh7xi/Nm0+AIQKs0O9fLwnVn0u1EmCh/j3id00eJdokgBZNnqW1RV/VAL6lFndCdmtcUGpf1UA/AQwYmWHG89MvKAXApv3dKDvTv0+/T+1njT0kajEpmtiXkaljlGKKfhNt0OShoqoxmRYDoLQxJrbX+kNcBwHGiOst9vUXFlSVdho95ozSbtGvAjg0HlP/s/Fa6AFR7T16qaP4WbRX+13rU2077XwWGzvavrXttXPQ2mUEYKpJFjXQWwv/MMobjSXGov5cXmwZfdUW8w7UWH2CLWjcv7atEbwyXge9DFYvlf1LWwygnHEf1Urv61gN4BPtXkxGvJgcW2unKgf9wAfV9+jnNu2eMc5/RimtHhBbTIprHIvGvtSPGeN7tJ81Ga7+PeKe1cb+YnOmUe6vn2M02at+n+IBgB7s0wNy+nOvZkUg5mKjHcGLKe1aiIcjRkD6P/78urhX9NdSD85q7RAPt/TjT/ub1k8CvDX2pR4E1M5LPz6WGpv68xd9aZy39fONeE0DIP8aAPFvxuT7xjf+jXwpQbEgMTo5g9Mu5JwpJJOiGqw3u31YHRYy6QwxxcT2zk7Ojo2QNVUwW9zISpmpyCx2swWPz8nkeJzmpoDqPSY8hBw2C3ZJplKSVC+0gFg4uxw02ixYamoxV0o8fvgoG9u7aGjxc99TB9X0WnNBwSxLggRBnc0niAfYbBbGczEqZkVd7OcsJRRhIh4tI1nLyFaZdLmII29RJbw9nfVceeElDCyM03dwkMmFUa559RuJTs2wZW0nF1z4/D8rCwtRfvW7n/D4E3vYtrKXJw4cxOEX3lYuulu7GJqdI2cpc2lziF8cOKGGjLhq3EhUUGzgyko4ZAuRRI7rL7uY/tFxDh86qTLNfI0uLl69kUNnJxgaH1FN5OekDPm5LFaXhEkWLD2h8QOr00KNVxixu5hWUmSTOWSrhCJJpBeSOAMeFKuZTCRNrUVmrlTAGZKRMuB2+piaCSO7LHQ2N5LISaRSszTbnNitNqwViXGpQGPFhEmWyWRyXHXdtdx17x/prW1g//AQ1mKOYGubGmqxa9VKjp06rTq51/l9+Gtr6WzvJmuWmE8fpzBtJhrNMjsxy5rlXcykhbxrAXPFjMXhpNnqJJxLMRafZ0VHHZlUBqfsJiS7aOhq5vFnT/D923/MzR94H4l4P6VEiUK8QPfKZiSrh1x8gUK+QGddE8+M9HPXnT/jLW+6laDTjdsborHZxZPPDajSu80rOrn/wCE1mMLt7WT12lr+84e/UJNDJZMZb42Dj934Tn720G9ViWkiWSGdSvPQHx4FIrztlreypXMdU6kpQo1drGrrouixcO8dv+KC7efx80fuV+XFoYCf1rpaFUDuPztCa2cH//6uT/Ly97+RO7/wb9j89Xzh2//Kay++nn/53u289bKrmcxk+Nk9f+BfP/Ae/vM7v6JsV9RwisxkgsbeBmrsdk4Oj1Cx2rl+1Saue99HKM6d5Jpbb1N9+drdTk5nInz27z/MxPQwN974bt74xhswOXJcufsa2ltrefapg8SzUZ4aOklroJ6FVJQmVyNhJUI+WqAnGGBFx0rGRILvxk7KWZmFeIlDzz6O3+1grJhke0MdJyeSOFwO7DYzr7nuah575CAXXribr/30G+QrFpKphCrpvfniizl8vI9zL7+G7/78e+zasI6BkVm6mwJ4vfWcHTqJYncwOjxCfY0XVX8pm/BkzHS3d5E1V9h34hjLV7RRiZgIp8JEsgkVwChLCl999418/ucP0BWop2K3EpkNE2iuw1JWyBbzatjIqtY17Dn8BDfsuoAz4VnGwrP4zDbqGoIcHxpiZXM7kixxYmiY7R0ruP/0YfwBB6/cfSkHjpzC43dRky6y8YpLeWzPY1isdh7atw+TTaLF7yNeKhKwOLDarcwszNNk9REvmvAEIFspEY8XWLGsHZsCo8U464IdPHxwL1IBWtrrEAaiUzOzmE0S+VxZRA+wvmctZ8b6SeUKvPbiC7nriSdVr8pah58Cabat3METp/eSiZbJWfLUukNky3FuOGcnHU0dnBie4od33M2a9eu5aPNaHn7mIXJFibMLYR6642Heest1DM7M4wvYKQu2Y3e3CvrZHAq2QB3hoTGSlQIbu7cwMjvMUSFBL5TVkAmz1ULRX1aTqwU7O+RyEpXzKGUFZ9ZCOlngs+/7AF/63ndJW4qY5gqk5bL6UOX6S64lnU3w0NOPEWr2cf763ZRMKZ549DlKDhvpgvBCNPHB66/lqSOnOTRyhkKmBFZod4SYLSZY37kec2yGp6MTOM1O3OKBDRXcNg+DYxOsWFFPW/tyCok4iViWQ2fOquEkN119NUP9/UzGM8gBH4/teRpHwEUhlUGEJodqHKxp7+Hs1BgTs1GVJagy6yxC8mylKBLcLSJcRFEfMIly+R1k/sxK89Y6WJgQibAKFrvwsFNUYM9b6yQ5JzxLTUh2uPmqqymZrPzi978XpDaVNe3yyVgyCpLVTG1zIz7FSaKYZSA8jM/pYFtPB6mFAhPxBdpCzUwmp8jkK+TyAmx0UFbKKuiZzBcIOZ0UKwqX9XYSTSU5OxlhVU8rd/Qfx5qtoJQlzLKJy5etpN5r5+TEDE01bganoqr/7P1nBgRWiNlnZnOwgfk4nLO6gYnxOaZzaQamF/D5nRSkshrsIa6r6BPBiBQgndllweOyYrM7aXTKRBMpxqNpJIekjnGn06L6SsbnU+pDwXXd63jqwHP4aq1MjSUxyYoayGMOyCog+fi9e/4W/768VC/V/1WlAXvGFEDtu8ZoM4InRsaCkU2gsZQWY6jpWRZ6qawxhEHbt5BN6eVqGttJz4AxJhcawzBEae/RFqXiZy0YwMii0X6vxjSsJmE0GuJrgRvG8IYXU9WYkC8kFRbbaOenyZIX20c1RtZSzLXF+lS/UF5MllgtOdZo4K9nxujZX9r21VJptTKy9xZr/2LsNu39RimwUWa+FDNusWMb+0IfNKH1m76dS7HQFgsM+d9htRnbuxRbUA+0LXZPa+f3Qqw9I+PS2K96JuhSEsZq7LSl+k4v8VTP+4tfqCqnNbb1hRiR+mPoy9hu/XyjZzrqJe/aueiPbQRV9ee/lGzYeF/p21ntNW17fdJstXPS3wv60pipxnohyXq1142stWr70Utkq41Fo23Ei2FZ6/1XXwwjdDFWpX7uWIrtKMpoq6Av47xo7Cft9//2dN33fODtuGwORsNz+IJOSjlJZRmYLRXSyTyK6Xk5bkkq0lpbQ61sYzCZYEX7CvadPIjDaqWULVIqFilKZQqJMt2dfsZGY3iaApSSKTIUVQbD2q5uzgyOqxJMb97EK192JZsuu56Pf+gtTC1kaW8KcWRiRGVwmCVFlYGJ9L9Gq49StoBkMxEnR16BXZ0d7B8d5aodO/n1U3vURVVuNKfKqkwWM7a8RNqSY2tvKzGT8Nzawm8ee4x3XHcxR4bzbN+yjejQU1x70z+q/fDKd17LRcvXc3pwhNH4LF3+Ni7fuZknjuzDF/CwoXM9GUeB2cFpposZzBWF+HyESzZv5EcPPkipUibkcJBWyuTTJS7r7eHuM/20ewIq0BkTgRepnMrocMkW/FYXz8WnKaQKKhhhFVrFSBlnu4v4ZApZBAHYFUwVE167TQ342H/mGOZYGdltYyGZwStbyfnE9ZGwp61EC2lVgiwM6POFPN01tSiVMj67TN/8PKs6O5mamKOxPsCxkTE1jGNVXYPKsEq6sgRMQeK+FKkBAS4qpD0F0kM5bG2ymkgqvBJxmHFWJCo2MOdMbOreSN/kAF6Hj01Ny3iqbz8NDQ2saOjhZ3vuxVqucN01u3lozyFKpTI2i0RvWw9tHa0MDoxzeOo02ek8LruD7Zu68FvrOTR+hk67k6RSZCQeJprPsrypDQUbJlOZ8cg0G1q7GRqbQMJKLBXF5XBR8kq8/NwL+cEdv0HJmUB+XrYnAg1kWaIj2P7/sPcXUJac5703+ttVm7l7NzMO84xmxMwySmaQY1tOHMcOM3NOOI4TU5yYY5BBssAii0fSMFPPNHNvZiq46y25fCt1ds/oO9dfzlq5emb1ati1C956q/Y8//oD3W0hnj1+hHJO4anvC5Avyb/8w+fQSyWemzuMS4N//uu/4MkfHTCYPU8ePICbOulcmtsuu4FH9v2IQHOEqzav4cDLx/jg3fewNFOgozVGTnfw1KEX+PCbbub3P/8pIvhw+V0GK6ssudAcVZxlDVWTyasFYm4/d11+Mx6/hNqskp+ucv9Tj/Chu97IZDVOfCrJQP8Il1+1js988eu0R2I4HBqSz4vbH6Q75MOT9/PCuWPMLM/j0B1s2zrC7NIyXqdIjk0zHOsm4PdScyoGgBb1Rti6toOVlERfZzd97a343AFeOPA803NzdHWFeOj5kzg1nTZ/gFBrNwemjxL1u5EcEj3NnYyJpNTefs5cmMIfcVIoVVnX18FCPIdPdYNIBM5kEfrbT9z383z3G1+hJEGimmNX+2YmEjNGQIwAokTKcK6cYzg0wGVb13M6GefshSO84babOfjKCcqyMPdPsnnzWvadPINHBLOUCoYkfa3sJRH20OT1snPtTrrXDvCdpx+hOJ5geO0A7a09TE7McyZzlk5nhEhTlPMLE1zTuYlDK6dp9/cysr6ZH+07wQfueJORrPzQs49zZHKONT1tnL6waIBfKCqbh9ZzYWEKr1siWSgawEdrbzOjrmaqmsZlV1zBoy8+AVqNQTnIgXyK3qYWqkqVNd2jxOPzZLMlFsoraFUnwx0DOP0ahVwaTXYaDyvWr9/EhckTLCyl2bJmDSvZJIValYDTh+ZyMtTSSzY7x2233k4qneZHzz/L2r5tPHH4GZRSnYG+FiYWUoY0VNM0rt65nZ3r1/Dy0SP0tXejqDJlpcLzRw4akkpZPKZwqlwxsoEzK1lS0jzRipdEKYe7LqG1O9no7qBWU5jMJHn/3feQTmYNaew3nnyMeqFOsMNHOVMzmFuCTb1pzSb2nT7Ihu5e9p86R5M/TJ6iEcawdaifvjVbePzxH3D11j3oAVieLXBy+gRXbt7FkamTVLIVIs1hukJNpEsJHC43Cwsp4x69a3SAaKSH8ZkxFjNpNg0McG5+jo1t3bS1t5EqlHjpzAncAY+Roi6SwY34ao/EjuEN1KUqkaCbvYfOEWr10edqJq+VSatlPA4Htw2tN1Jpvz990pibt/Wu5ZW5OZYWkgZQZ5idKg6cLgd967qYPr9oMAY7WoK8dc9NHJo6z1JhkfRyhWKpzPv2bON7x06hu13o5QqaQ6Z5IMLuzs1870dPEgmE6G8PIUuSwWDVXQ5Ozi0bzNqI5qO/I0yuXGPvzBS7mrro7wjxveNn0SUIdQSRihpVSTWCQoQ/aIUa1WLNmLMiTdwha2hlydjfdd0tpCtVkvkcsiojCcmt12347mnCPVGDYJObYrpmfIYMD8eYmkwSCfrQ3A6DPSqEubVyjXpdo5SvG56L7rCLmzft4kenX0JXRHKuzmhvDFl20NTcz9mpsyzFc2g1xZB4C49Cv9/Fo9986qfx35fX6/X6/zuAzwocWL34zMbTBMGs4FAjMMME+qzgUiMAZTWfq0bNjmhizIRbe7NmTU20yg/NfRag4GpMI7Ff9sRCeyNuf8+lQBW7XM9sQq3bE2MjgDg7S9J+HhqNi7kNOwBllhgDU15tB2XN/bIDFtam3npsdrDFLPt2reu0+owJAMXuIWb+zVy+EfDZyFfO9AIzywwmsSZmNgqcsAOG1nG4GNhqHevVwILXWvZtmWCCuT47cGb+3Q4Ym/vTaL32a3c1UMM6HxvJI+1jaAdPV9uuvex+c41AnNUAJOt2zLLOl9XAqdWqEcDYaH/t4GSjfW5031oNfLPfj+yAnbmcFfhtBGRZQVgrkLbaMdlBPut4r+a3Z52Dq4HFjY7RXEas17y3WR+ImKxi89692voaHbcoq8+dNaXX/Gwy7/+rzYOLXQ8DlvOzGrh2MW88O9C5GgDX6Gfrdi61bvs13+g9/+3puqKJXlKEUbwTj8ODz6lRq9coicAHdPo7O+hqChP2BllcyXM+XWLPug04HXWu3LyDjmgzkaYwTpeEP+gh0OplIVMiGA1RLuQNWalWrRP0CHluipHBLsOrTw5F+O7Tz/KLv/Q+lgoF0pksZy7M4ZYktJrKL9z5JoN1EVKdxJpbqPscRLub2LxlI8V0lX0T05TyNb72yDOGHNSruvEP+3GH3Fy/aRO/+pvvpbMnxthCirZoH/PLOW7q38C3HjlspAm/8sJTXEg6eN/H7+ZjH3kXYc3HAy/s5ey5RYZirSxWFg3fp4VMimNTMzx84GWeee55qkqdhdIS4/kF6hWV7zz+LEVJxet389abbuX2HTdSllSmNSeRYJhiWSfm9jEQjBDwh+gKRugIhOlrDRl+e7Jf+PVhSHkrHkgtFFAlyWjehCSqKeKj7Fc5dvwYra4AfrebTKWE7IRaCyjpOtd1DvOut7yJtQNrDUDv8u3bDNaEkIcJD0ORmBnU3dSTWTYOdVHI5eiLho2Ux3ffeztJVxGP6uMTu25CiitU6iU8LpeRShvo9BoybIcAO7wOw7dJeLjVSzpLkwXm0/M4tDo9gx3U3GUjGMUV8PLokae5Yu0mdm3eQHymxN/8zl+yYfNW1vatQcvkeeWVk5ycP2OkJ7/9HXfy0fveQzVZIqFmSBTmKbvcjGeWSJSLKCLdNJtBrZVIrSzR4mim7vJx063XsnXnZsHXYyWfo1Qu8KUvfxu95kDyOXDUHUiSRFM4SNAXQK5WefSFA7T7mkFXuftn7uLT//BpPv6rv0sxWKRSrPONzz/KNz73ELXUIu9//8/T09bCndfeQLlcZ3l6hstHerl9ZCu+SswIGiinV9i2tRPNI1FdOMPs7BjLiwt4JRdeXwulsjiPThIzKzirDtLuOjPxJLsGR+jp7GR421qWZ1fQZut88eEHyToVhtZeQWu9iTNTk6Rm5/mtv/wHNvdtgHyE5HyCg0dOc3DvAb7z1Au8MH2K4a4errn+Jjb3r2HX8A6u2n41Ht1FRPeSkSp45TDHjk9Ry9RJTc7y1JOHOHLmLI889H1+/Z//int//zc5OHuaA+fG+M6z+/D5dZqiAW658WYOnjuImqqSyhWILxXIrWTpCHawsrjMdev6CcouBnzddIa6WdO1lrl0CqesotUlqorK8VOvsHXn1VQKZe677q3kCzU8IrE2nTYSiYOECYQiJMiwUFhm/NxJKkWdsSOnqFTyhtxxsVLiN37hN/i73/pZA/QRScC/8+EPMYODUr2Irvs5MTnGf3zzP/DXVU6n5vjBiy9y4PA+Di4eosnnZe3QOkZbO/nVD3+U2+65g1tueBMHMqcIRP3sGhnhr772Zf7s81+kJCl0tTYZYR1retvRa9AaixiS0c3dXaQKZXRFaDwFQBXnpekLJGpF7n/mUYJuN1/6twc5ls1SK1ZZyaaZXlxhKrnIhfll5kspKgp0dbSwrKc5MTPJbC5nyFOFHDKVj1NVda7ZvZPT07Nk8nk6A0FGuqNolQqZcpa//+TXOX3sFNfefAMryQKZcoqtA6P8zNvvpihptDT5aO+K0tnVzEDIw7//4BHOTcxx61u2c6R2gUwhSbjdi+yVaNkYo+7UOTw9Tiq/jJ6BnkgzWzv62b52hE2+bpxuJ6cLi+hlFQ9w+8138b19P+IdN9zEFZdvoJypGsBYWakyPbHCM/v2MtzRR7moGGxA4ZG4tX8EXROy20kunDtC0BtiLDXN9NkJxmbPIyh3eTlnBPSIEoFCJb3McqLE5u41bBgaMUKYDs3O8KMDL7Fj42ZCPi/9A604/A4OL09zZP4cR5fO45G9ODSVllaRUiuk3A62rBng+NQ5funn7+PPPvobNMseIhUXw719uFUn+VSRHc29PDx5ksVqnlDKRXvFz8NHT6JLdZxhGa/sYGdnL1eNDhoBFs0VlwHwCbbbykqRF48f48zSJIvzWd6yfRNhj5uvHzhK365BbhsaQPZ4uPmK7eiLJY5MnqElFuStt92G7giwdcd2ZpMpUvkaEa+PnvYBgs1unjhxjtNLi3idLk7m40YKu7AcEAEl9eUyhXKVCB7jPh9P58glylSK4qGO1/icEpL4lqiXmqawkM6j1VUDNKyikqsolHUNd8xtBGIIZmMxVUMXBEuXxNRsimDMT6VaJ58uUq2qrGkf4frdN3LXruuMB27ifyHVXJ1H972M5nejaIrBgBQefU1+H+5yiqvW72Dn0CiSz2nIqV0+mboAS1+v1+v1es0l5IKi+TGlZaYs1WyIBBhjypBEo2/KrX4CBDRo7kWTZ8oQxbKGvPLHjarpn2b9WZRdxmsCbaZMS2zXBKFMcEeU2C8rk040kqZ0SnyZCZ/WMl8z98sqmRR/F02fKeVqJHO1bnu13637aE3OFcCeCao2AvjMgBNrWcfIKvcyAAebjE0sI/ZfnCs7q8383kjC2cjbUJw74Vt1KSmYXUJqTb+1A3yiDNaUTQbbCOCzrt8Kqpj7LRp/kwlqnZPGMjYmnh28sS9vlQ2aZY61IQ22SAbNc7vauFgldaZcz3ps4m8msGBv4n8C+liuL/u+Wkv83QxksMqDreNkL+v1Yp1P5nH+ZK78+Po0fQGtsmQTsDe3Z8qnrTJyAVq9575f/onE0e411whss8rif7KdH9+fzPdYf7aCcea428fcvG7M11YDA+3hF9blrPJVcVzWfTRfFw8UTLm7uS3TL+0nc8kC8InlzTEUALa5jPV+Je4H9vNv9XC0X3vWv4l5ap1fVrDrYvJn8+/2e7J1DMzPAWN9Pz4GsS3z80Rcm+ZcEvcW8dChEcD3X+af5RjN/RbzSazL+uBFjLG4j5oPnMTrjaTr1n03PRF/w3K84rv1vmdaNDSyMbCOgXXsGl2X5r7a32/3hbWeC/ucFOs2bSTsZT1//yf1UwP5VM1BQHIhByTK1Qq1mvASUgn73LhkYYLuYiqxQqaQNZJgPaqOW8gxu2M0t3exfnQzHo+blq5Ortx4GR990xupOupIXhWHrHPn1qv43tcf5fL12xhqG2BdTy/b+3uYnppgbm6BiUSKdL6Mv9mH1g1Vl4pfknj8mf1kCkXufesbmE7PcsPmbYyNTXPhyQu0hjw40NjYP4hfJNqqZequOq6UjJzVOHh6jH/82jepV2r8zBtuR1WK1DIFji3OMZdd5B03v4MT586iZ/NcHuszwJe2UBNDTTEkSWVqbpl0UjTzGvPxPHVJN2SfWa/OC6dO46zKeMoq8UqWUCDCP3z0E8QTRb7+xBN896nHDN/AowePUS4XDZbZqakVxoslXDWdI/E5crkKFeXVcAghjdMLKnrhx7/LQjqm4ep2gaaSSBehqJF31JkvZUmoFbS6ZiR8CokrssQzk+M8/PxzTM2MI/tctMeceANOvLJEQJZZKecJed0Gu+LsRBwVnWSphMfj4g//5csMDm7Ar8PHH/4iqUQRpVLH73Wje4VUGGRNpAOrOFXRMkvUJc0A+jpHw2wdXEd7qJn+aDsvHTlOtVzk3MlxQ3p8bPk8qXQCh1PnZ37+E+SXVujtaGEinyBdjjMU7qantYnnn3mOp59/lmqoibPjZ9nc3E0itcJgSx8DkXZk1cGGrg66WsMUNZWSWuCVw/t4+pHnePHZvVSdVZzCh0v8M8z3hPRO8ExEEw5SyUs5KSRpy9y4ZdgAsQW756pNO7l69w7IvERifJnuQJDP/dUv4nDlyBWK3PKGmzh75hw/evoZAj43qWKNpZyTJ17ez+P7n2dwoI9/evBxfv6vP8nv/69/5DPPP8PH7/1F/vpL36arpZmuUBhdkyiXKtAq4ZEDxBxRRjtiTMwtsmNwBK/kJ9rVQbmU49Ev/xtrQu387Vf+lnd/7Nf57Q/9Kruu280nf/8PuPqa3bzlLZfji3lYOp9i5kKKxXMpDr14ko0bNzAzcYK3v/MN/McTP8DrESB9hb6eTlo1jZcnjiG5NF55ZYxKqcp8OUsiuWIk03YGo6gOjeNHJgiKUBKni/mlFN19zczUc7zrzrsNsE6w1XSHQtyZJ1HJEAkFOb9SoLdlDe1tboLtTcwsTtLcGqJUrKP4Vd50wxXcuvsmDh0/QG+gicMTY/R0NeNzOrh2224mF2fJu9N4VI+RippNVujtaaOrtYWzy0u4NfHgIGI8QPjKd/+DT//7A3gCXkPy+9hLz7KYWmAhlWQpv4CCgt/rZXxyzgi5+YV3vgu92WsEnCwtpGlu6eShAy9Qy5VYXJhhQ1uT4Xn4qc8/xPPjZ41rXYQFVPI1Bv1N7B4ZolxQ2bapj85wF4GwB080yuYNvdx1/ZVcuWE9zaEmXB4nuWqOwc42krkkb373LdRqNWTdQb1cIxQNIdeFs1ydWCRIa9BDrlKg0+Ph8pF1rO0ZxavJxnUc0R1UVI3zU7Pcsvsygi4vNd1PMDrEhuH19HdF+MhH3sUPXnyJr3z+B3zsfe/iyl1bSedWOLL/OE1iedlJvlhD9ft44twp455SdcCv/Mq/UDgbp5jNUVNVKqUKS9NLbBpYixSQ0eo1OuQAdWeQ2eUcx8YnKdbqBkuz0xHlDXfdyqe/8k0e+OEjFJdKfOvFp9l3ZAxJFj6uDpSagifqQlFVJqdnGe0fpFiQjIcu9ULBuF8I87bxpUWK9TwUVTp6Oxke7MLtkrlu3ZX4Ax7jGnZGnCwup1g32MPp6QsEfPDhO99psPKEhHff8ZNUdYVESqO+UOeabZeRypRY27vOsEDQSxCfy3HVyLCRkJuuaDQH/Tz+8Ivc9LH7WDO6nq0b13F47DRXbFxLf7iZjtYI2ZUaJ+YWuG33Jm67fDMdXRFSyQojLR243F5aIiFjPMQDG8XrY7C5Ba9IDXHpLObTFJZK3HvFZZxenGfLYC+3r1uDNJvj+2dOUlWrnDw7YwSrLOXjtPqDfPkH3zEY86qWJlerUcmVqVYV9Owy+aqTaMBPU9hPRzBEdzTGS6lFujqb2NjdZlhouL0u6h6FQrzIjRvX88vvvB5J0gj7vQy1NrOcyjEv0uerCrdvXcdga4yB4T5UH3iCLlRdw6868YTdaBXR4DpwBp2GRYanzcX2vlGDyf/xj76T9c29rMST/ODJx/jOc08aFhLCIFYKvLqsEldRCgpdw1EKKEQ9Ph4/MUa8kGb35RsMIFecPVWEaRX+v8306/V6vV4XL9GQmSCcHWQwGyHRjJiNptnAN2pIrE2VaE7MBt26PrvPlBV4Msv8+TnXe34CPJoghrkO0dSZf7O/f7VmTZS9wRJNohWQsZbZ4Fobs4v5+pn791+a3x83tdb9aATsWcsuV7b+LBpVa+NtHwOz6bTug30d1nNilwDav4v1XGx/TUDGOh+sgI/9OMx9tkswrds0QRTxJQIRrOwi+3atzfR/Aaos2zeBFTsIYJ/DAnAxv0zPP7NMfzuzrIm7YtmfgNYNPOfsc04ASY2YRtbjs4+Zdf5ZmZJmWb37THBGzBW7D1mj6+2/vP5jkMs6X+3rMP9mBV7t+2OOiQlImUCdeL+4l9hBDSsIZh07czursUitYyL22QqYNAKMGoEp1u2ZyzTy+GsEjNvHStxPTIakCfaJ+SSYzeLLDiCL82aGyZhz2n6sJova/LsZcNNo381jNsfH7nFqD/BYbSzENqxjah1H8bs4NhM0s0rn7efUfI8JFFv3rdH1Z/+7FSQV9yFzG+K4VmNZ2+8T5nfrNfu3P16P1dvU3K4JZJpjZb1fmH+3j5/1odJq7GxzOXM87YCv/bxbAz9MANtc9v/X+qmBfE7hGaXV0Uo62WwB3E4CITeZQon1Q0OUqzm8gqEnfN1Q2TDayYsvHSS5kGV2aopcOskVWzbjqui0NAco6j6idR9OzU1HuJsnDr7EX//17zK9sGikBfb0dbN++zUEPG5kp44kUvnqNfKlIp4VcIvETk3jVGGevliAcxPjbOrfzuJKiqDLR9vWEMl0kUSiwMFTFygqNVw+D/WyTosnwmVbN6B4BCAFyXiZ546epi3YzoWlecL+Vt533a089MJ3uHnPDuazc4wtxnHKEmdnJ8irVfxtPnpbW/F7PJycXRQEEiKhEBVnzpCy+R0yatnB2rZh0GSWk1n+5f6v06y5+Zk7P0pnSxOSonPd9XtwVZyEPX7KPgmpXMMf9dPub6Yp7EMpl42mV9BjhCRXsEOEb55Dkg3z8upcjWAwyM7hXloiQbSKw5BRCZW2W5jLC5N5xUlz2ENZrRH1ennDLTdww8bdzE3FCcpBMuU6uVLdYNuIUJB9U/MMhlso5kHzyAbbTxzf2uY2Kmhcs24zNaVGXdFwOoSPooYivzpHnLpkpBcL1qGAI1WHyr3X3MbJuVOocp1vP/gohXqZYkUjGvTwzjveSLPmoUUNkZif5fqt3azdtJYH9r9Ac6TVMJffsmkzoVgbeD1oSp2Z2pRxjo4Xk+zZvpYbr76GL3z2P+nq7ORkfJYLk3GuWbODqv9Vm7fWvna2r1trnHufz4kmgSMqEdG8At7D5/awraeHwc4IQZ8PX0sLL05Pcud1V7Bn/Sa66kV+5wuf5Bf/4gsUKzWKeo1sXWd8fIaXzp0yUo03rO9m7MIM6WqBydw0U4Upqi7N8Od7aewsmlKjqSVIz+Ymhrs6mDi7n67eMLfsuIxTKzMolRIZpUxryY/udTG7vIRXC1FQyux409388T/+L6qFAnFF4pvfeYA333wnX/rX7/CZv/kDvvrwN/nWVx/j1/7Xn1PJ1ijV3KykMq8mWIr/pItzoek89ewDnBqbZ+/LR6jXK9z/2IsklnK0dPTxwslZaqWqIc32BL2cyqeZH09z7WUbOR+PG+dLc2nUdclgTtUVBY8ALtIuJg6dwlGqcd89d6HlFP7gI79ELllka2fMCCzoafKzkJhkJVPj1P5jLKWSFCtl4qk0qlphZT7O7Pwc0bYWfF2d7DtzlA9/5F1kSgKkPUVXWyepbJ7bb72eQqXIybNnOTYxQyQcoNMfQZfdaKUqTqeTLeu2kiyWUKsl5hcX2Xf8FEPNHa9aCVBlIT7LG667i4VkipDHa4RERDUdteKhr6fDSNsV3pfnx6f53c9+lrXXvoF37b6DLd3tKMUSV1y2CZdLZzmT48DiHBOLiyzLeZySDwdFQiEfL54/Qkxu4tTpc5TrZXo7g2zq6UZyyoxPTaFWJLLZCq1BvwGgt8fCrO9YTyFTMMIhhnvaCblaUMs15pNJphfnScUXcDv8ZAo5MqU6127chO7USeSXGB4aYGigjUKxiOLQWJyaxyHVWdPfTraQ4JNf/U/8cojx2RRN3a3Mr2SMe4+i6eQzWZYX8sj5Euv7uvi1j74Pj9fNVCpJYb6IrgnpdpDZuSlUj05faz9rR3tIleZpaw6wvrffuP7F+XHEnDx3eB9vuGIHDx943ABRjaRzJ3icMnJI+LHJ9MeieL0edg21kSeP368bvp1H5xZw6BLRzjBKTWNkoJ2urhiyv87c0hLd7R0oaoE2bzPvveMOdm9dh9sjkc/WiDX5KaYqPLD/Md7x5luRAk4jOfjmPdcyMT/O2g0bmZscx+f1c3rqtMHKIywZOP+DB4+zs62XHV3DhDxNbLm8A0dF59jkKSJanSuG+pmbnKbi0Hno2AmCrS4KDpV6rU6lrLCjQ3gaaizOp4209IVqhoKscCGVYjo1y2QmwUBfp8G4rldrRsjIl/fu59D0As+eO8+PTo8zPrfCfbv2cM/6TezZup0rr7wZTdE5k17GHfNy/OwE3/jhfgI+v/GATfjtnYknyaSW6GkPMpfM43XJKGqZAU+QgP4qEF8STLxChcxymeZYkP1jE9z/3BFaWsLUFZVyTaE5GsLpdxEOBYzAn4VEgm7Fwe6mbvwun6E+FiE4QtrtEBe0+LmqGlYUlRkFv1ykWtf44rceYiGbIFtJEwm7aeoK4dHEZ7dEUPdQWawZMlwj2bwscWEiyf3PHUcOyjSFw1zInqK9PWTIhnVFJSgLTujr9Xq9XpcC90z2mtlsmg2rCUxYmzGTwWf3KjLLDhoZ6Z4mEPDEN3/CuFitrACUuQ/CqN/8mz2AwJ7ya29EreCPtUzAzroe+/FYQT0TNGjEWrQCj2aJ5tdcn9lgm9sym1jRBJrBHvYyTeZXY5eJdYrXTYaHOS52QNUE+szXrN/NsjaOdjmq/VzZwU1zTEwww7p90TQLUMwExhoBuNZm3A6OWQFAAXhaG2krWCdKNMF2ZqIAnsS2rcw/k6FmLWOffwwGip+fvm/gv7wu1mE9t1Zw0g7umEB4I9bdxaR+4jUhI76Y15sdeF3tdet6rfPPOn/s89gKZgnWlxWwtZ6XRtu2gvdirM2gCnHtW6XYQkJo3QdrQIt1DlrXawIqdlDM/N4IAG80VlYwxsqsbVT2hxvWhxxWsMj0PrMCk/b5IH4X/qViOTGvTGazuQ0TBBXLmffeS+2X+d0O+jV6AGGdT41AT+s5th53o+u+EXAt5pb4sgNy4to3A5DMcy7uxeJ+ZYJp5n7YvVvFcYllrMC4dd1WENTc10YPpsx5Y1+PuY5v2+aVydi2jp11ObtM37pO6zGZx7XaZ6S5brPM68v+eWuWHcS0gotmWd/zWqW6P1VPvj/9899idmmBSkWlrytqPPn3BD2k43l6WtqYj8fZunM9Y6fGSCZyhMM+7rnlBgr5opFeu36gl+eOnuQD9/0mH/+1D1JHxeX04nVorBRK6A4VJanww4e/BclzfPwvP0W1rlBJlAl43cwpZZRaDYfiwO+WDSmSYLNl1TriCAVhoCkcIZPO0h+NspDP0+70MZHL0hTwks6W8bb6oKwabDODleDQURSF3T1rOTY2YTCQBnu6IS+R1eOkKzXaXH7DK/DGnTs4ePQ8y7UsmkunK9CGq1ChpTUETQHOnJli7eAAU0txVtJxOjvCZFIVduzczv59hylpFTa2tXPDVTeST6b5wd69XL52DZJa4JGDJ7lueIRnl6fYPLyT6QvHCXu8tIa8zOeLeL1uY12x1ibG5+aEDtYA+Jx+pyDx0dorkozrqHkFVVHRnaDXdWSXw5AyB2Me1npjhkxK0h1UFR2/10GpWqWiqDSHwihKlVpdIRrr5vjMOTzhAYba3CQW5mmKtrNv4iSXtfVyJrXMlnVXc/D0c4Zcbm1vL8eKswa7yVERDD7dCDzR3TpSVUJ3arxtyzW8cvwUg52tHJwdp6N5gG1DbbicRY4dXKTml1hMJPC4hPuXSm9PJ6dEmjI+KnKNQM2PS+QyqC5amls5OH6C3tY2pmYXWdPaRXNTC4nqItl0hY1DQ1w2Msw/PPwA24dGmFtZZNe6y5icW2B8ZZqqv45W1NBLOrH2CJJIw83rVIo1NIeG6hKNf51g2MdI6xp8DoVXMuf43Wvfxhee/QGyIgJJNAPADdQ9tLQHULwBrtq1jYeefNFgNOaqaZKpAls2r0NLZjm+sGik/DZLLoPlFU9n6WkLE/S3UHXE2dgzxFU33sHOzTfwl3/3hzS5feTjF7jijnv423/9lMGgC3ld9ASD3HD5HThRuP/Zx1k7sIaxM1Os1JZwORys7R9i+9pRHnzqKTKKwu1XXm4wKsvFAsvpDCdmp9m9eZRT54VHYZ3f/Jlf5em9jxNo9vO9h/fiHnCjLtbRnA6cERk1oXL1FdtoLdX44ZlzKJKDlmYvsVAXyUyaWCDKTW/9IC9+75+56cY7OHrooCEh9EZDPPT0DwjQh1qfR1g0+sMteH0qFybmkNwubtxyLd995VHDiN+judmyZSstYQ8zk0XOz53mXXfcyQ9ffJ6hNcPk5pP4PD7OzYyTKOZpDTYRCMtcuf4yHnj2WTpam8hpOXqiPThqihH+8vTLew3W2+b1fUh6CD2fRpEd9Ld2GcDceGoet8dNqVJh6+gomZUMQZ+LmuxgZTlBVyBMHMimU8a2s8UCekU35IeCrSv8G4vZCn6XH58vTDy3ZAAhIik12OynP9iBItfJF6ps6V9DvpSkUM2QyZQIRCNsGN6A7tJ54vln0Jywtm2UhWSCqMdBteLC687jDwbJl2s4JM0IMnHoMm6nizVDAzxz+DCbh0e5crvw50viFPdEEbxTKpHLZJC8MofPnWaoqYdkKYWs62SqVTJqgZ29/VyxcSv//oMfokjQ4mxlqRrnt95+G//8/cep+0USt0pzJEimVDISXF0eGSWr0NESNdK8JdkNjpohBd5xi5OHH0gw2NFOIp7mpl1b+d6hfchuJ2s7O5mdixNrDeJr6mbs2Ekk4d0mOQk5fVQdCiOdfRw6f8Y4X3pNJRoKQUQmUoSyF9Y3d1D1uBj2efF1t/LEUy+Tr5QpKYphS5CvVbhq1w5W4jkWlqepotMXbSaXr9A50sGpl87haw6wvb+f5UKac4txA0CV3E48IRnVoaMVVfzNHiSPRGstyFQyzvv37DE+W/L5LGXdwXSlwJnZWXQRwFHTaAqH8FYltvR1U3VLHJ+YJCBCN9wSk2eTRnJxrMtLarGA7tfRyhBrDxjMRxGWJHskoroL2etCCgj7CY133v5WVhJJnjjwNMlkwbBREEmznman4V3Zlw0z2tfCQydP4w24cZRBicLWSLuR4C58Ll1l3QhZyRarvHHTBrpjUR44e9KwVlArOl63ABthSS1SSb8qfRZS83gui+yT+cQ1u/nUD19BlWCks8Vgep+YWUaqiM9LjUDQSUU8+BEp56puPEjaNtLBkQsL9Hc343G5Ccsyp+NJ3nHFLr78+F50TUPVHYb1g7PFST2uGEBeLBKmtz3MYNc69h07yEI2S2tnhMXJLE43PPOD14M3Xq/Xy16CUWNlFdnDIOxSqkb+QaJZMxNtzUbS9FezlpWhsJoZuil7FPtg9W9qxDKxNqBWZpc4BpM5Yy1zu6uZu5tj0KhWM1FfrRodo9ncmiwU6zHZm2aT+WECd1b5WCOvMyu70PS7Mr2uGnmyWcfiUmNq3Z59DC82btbjt3s1Xsr3zjweu6+WuV7rsTYKOblYSIbd189cxjwX5nsbARx2BqHV088+NtZzbff4Ws0jzz4GjV6z7uulzuNqPnXm+1/LshcDGhtt27pOq2+avcz3mkC3FaC/2PVmPy/Wa63ROVutzGUv5gHaaEzMbVn98qy+pNZxaXR9XGw8zfdb55h1XeKe2Gg87Ww1c/6Z9+WLzSP7fjWaX6Y/qX0Zs+zH2+hcNAqvsI+HdS6aFgWreafayz4XVwO/7Exl87XpBiFE9nE0y3pfa8QMt35m2X9frazjbW6j0Wew9Vit77Xus/X1//bgjU/81kf42Z/9Fb77n583fMonZ+cNtkTY4RRBgqhlDckjzOeFnK1OKBgkGIiQyKQMo/9SqUR3SzdLyQWG1gxw8Ohx+tp6iSfiDG7q5dzxCyiqRLPw7JE0CnUV0du63bLBNviFt7+DL3/ve0YwR6JcMAA+ISOq1FSj2XAoApvR8IWEmb9grLnxh90sJgu4ag5KWp0gbnSHhOrW0aMOPLrMSFM3eaXMzPKicQztfSG2716LMqlCtcbxxDSobjL1AtVKHbdXppqv4a7LhqG7wynRO9APfpUj+0/THAwg+WSmFhcpl6sE3F4q4njKFYYiMRSlznwua+z/xoFubt6xnq88epBmXaevLcLRdNIYQ9EUKYLVEvBSE+ycpYwxziIZ0dvjpTJVMYCoXK5M2O83DMvLeg2HWzSLuvD1R3LBtSMDxrh43BIzibwRgOL2OnEoGuV6jbqqE+tsZXJmhnDfKI7cCrFgkJPzs/T42wl5VM5OJUkFyly1bT26Y4D45DGS2QTXbr2GlYVpI+F3WUkhlwRzTzMYRoL6pxR0HCr0htq4ev0IHYNdLFYyfPfhp3jwK4/xiV/4WTZs6GYpUebC/BhexUNWyhHxhfH6Ze649i4mjowxHV9gLDFJT3s7Qc3JVGaFrSNrmZqfxOX0GaEMYYcL2RdhanmeX7nvo3z1we+QWymjuyrsHBg20k+/v/8AvhansNmjnlbwejyGf2A9UyXY4oOaRKVSJujykCtX+KUPfZATs+OUM3nedeM1/NOXvmIEHAhZW72oMvj3g+x+eQd7X3iO0dEmTswXGJ+eIeIN43LKODwO4vEkA62tFJQack0lWa+j1mtsHBzFGw5yResIX33uEVSfKnp46jWNuqpyy44dHDk8xsfu/QATU2eYyJQ4NzHGcKyLmdQi7bE+NDXNG/bs4eDMPOv6okZ4xHixxtV9bfz9Fx+k7/rr+Oqf/A1/+2+f5pH9x+iqrNA70MHk9DiD/d1EXVFUnDx//Dgup0K1ohPs9PPunVcx2tfH5x99lHddfx0PHdzP+flZghG/Efzwi294J365Qk1TUYs1FqtCth0gKNeoSB4qmjDd19FUFa8io2giBESmXMkQbhumP+yhkCnyzRdf4Nz5MSRdgCFBevxtnJyZpr+vjZt23ECmEieXLZDL5Ont7KOiFlmcX2DfqTMMdPRRLRVZN7LGALHOjE/S1dlrzKNKVSEWCpMpVBhoibBt5w5mLsyxuLDI5Tu28fiRV2iXI7R3t3Do9Fk8Tgf5isJH3vZWPnf/d2iOhciUisbcNcTxNcEAdVFBNVhP2XSezVu2cerECdy6A5fLR6GSoy7UhbKOpDgY7uhmsZDEJWsUSwqja/s4fXaarlAAQW0TvnldkTamFpbwR30G2D4UjRoeabrTQ9AnkS/UjfCKwbZ1jM+eprejiUMLC1y7ZiMHz5yn4CzSqoa49qrbOHvmBTZsuJyv/uh7xoMQAjpOh0w5UaG9OYjqlOmINjE1v4Qma3Q3t7GQT+KsyWj5GvWQC3euSt3vMR6YaJJOTauLCBvjHrs23EbOVTE8La/sGWU8E6ekKWQyeZoCIbaOrkFenuFItch7bn0z33z6IZKLBTaMDjE+OYXk8dLZ2cnM1LTBRHvLddfwwLMv4hPS3bpm3DcGu9uYHlsh2hxiY3c3r5w/T8AToFrIU/fCL7z7/czNzvH9V57l2nWbOXrmDD6vizdf+x5OnzvARGHRWLZVBMVEo+TUCgcOn+XWy7aTr6ocGj9lMF29ES8hp5ecXqSYrBjnzFGXuGJDLy+fmmWkr5VAW5Arwj18/cwBtveNoOeh5qyhaSUGOrawUljC5wmw9/R+rh9Zz5PHTjHU0c7pqVnec/UOltMFCpU6x2fmjJRlwYaLhYLU3BJBNOoFnYyq0N8TIz4VJ63X2HP7Ng48cZye1jAOTWe+nKeWqBEdDKIKOq7wZq06DEa28MQTgT/ioYJa0+loixj2Ce6Im5WFPHe/cSenx5c5c2qGj1y3mwfPnCaREZ8VPiNcp1pSaYv6yWtCxls2GM+Iz4mQ2/Bv1dxONEVhXVc/k5VFqtk6mzeMcvLEBXRVw+GR0cqKcV0HOn0UZoo4HQ66eyJ0R0McOL9IT2eUXKJIIlUyPjevGe7lubk51IqCr81Haa5CtMtLV7iTjX197J89wcxkEl+LsE2osa63hc9+6js/jf++vF6v1/+YMk3a7WyP1UzBRVkbcmvghbXZMc3PBRvFGiRgrt+6rkYBEGY1AnbszYxYx3088F9SVRs1r6sZoV/MQN36/tdaVsDJbFhNdp/dh84eUmCWXdrVCERZDeizgkcCELCCX3ZG1mqg22qBFOZrduDCanp/sQbeup8muNPo/NvBT/P47Q2vdd0mMNxozBqBetaygzxmoITYjmiQ//ML//QT+aQVyLGDE2ZZQSC7Z6ApZ9zYsq/hvvxk2VX21brP5nKNwIRLzdnXAmCuBuDZ328HDi8GplvLBONXKztwZV2+ERhm/t0Yl4sAqNb3XQzcsc9zO1hjnZ9m6MVqKbLWfbNfh4388UTKr2CN2qW0jcbAWtZxb/S6/fq3X0t2cH21/V3t/FrPi3kvtIf32Mu6L1aw1H4+rMdoPy/mz+b4WIF0k8VtPjRZ7V5llnXe28OR7Ns0pbj2EBU7AGcd10Zz3v6Za38QY12XFXw0j8UOOlpfEwDtfyvI9+6Pvge3y2VIaApKCX/IzfJcCm/Aw3BnD9VqlZmFOQNYKmSreEWarqYR9kYoSjkkRSIgALy6Sl9/Nx2uKHNyjvOHxg1gam1nD/m6xPTShOELp+gazU0xSvkc+UqF5kCQTK7A1k1rOHp6DMktU3TW8FZk0aMZyYHxcpH29laypZzBwBDEhqDfxc/e9Sb+9qv3467rvP+u6/jqyy8a7I17b38Ljz37FDNLacOovKUrRHwph0PScVYcRNp8SCUXBX8ZXZWR0VkXacPndzE1n8XX7KVQLhjHKNgOvkgz+VTCSLusN8t0KBGmZ5eoSTUjJVSABs0+P+950xv5zPe+w0i4lc6OCC+emeH6vnaeHpskGg3j8zkMBlBnU5DlbJFl4VUlVF5+N9f29vDM9LTBtKol60aSaetgBFfBQ0ktUcyUcAVl2ppbKatVUuU82zytpItlwzQ94HYZ6xRm8FGPh3DIRapSN5q9Jn8nyeQ0y7kCzU0hapUSG9o7GF9Ko3o0RmLdjKUX6HCHcEV9hrQ64m0m7UojC3lyUTWSHx0a6KJpdDhQslWuXrPVYNtce81WPvelb+OXvUboyObeTmZSCe66/kbOnxnH6/IztzKOy9lBsZqie/0gkYjKE48eMpKUr9y4lYNnztDX0YRaU5nLpGkKNoGQLRfzdMSacUWb+auPvo93/8afUvDWecuuPTz0yAt09DRzfjHxaoBJVcXhkgm73IbvWCgaoVIuEQ26X/Wmqmj0t4bYPLKeZ57bT9uaGJ11L0lHhYDkZqyQYM+aTZw6e4aOlhizi1k8ISd1RUwjhXy+RIsnyHIhZ4Bl49NzBINuyqUaPR3tSE6V+aUskkejRQqRpfyqQb1IpSxVjXNz49btnBo7x66tu3jLPffyvl/6MKpSY0NbG0ulPF4pwlJumU19I7z3DR/gt/7l97lyaICPfvjdTM5k+Py/f5vr3nId77rtrQRbe9GqK5zdN82XH/gs0VCUqfQKo0MDPLX3FWqVuuGFtnPLBg68fApPkxgjzQAQXGEXSk1lXUuH4Z/1ysw0T33nSb7w6T8jGPBT745w4emX2HblVTzzzEssJxfI1OoMhnq5+dqr+MIj36SvtYd0Js6VG9YSdIc5PTGJ5PYzPjNOXZP4h1/7CL/8qc/Q0x4jOZuhraOZiCxzZiHDwHAb/a19PPXK8wx0dgJVyjjp8YRpb9d44XScbL7Ae2+/me8/v49cMYukOw2QRPjdtbfGaIu18zd//Un+4k8+zszKIvFyiVpZxS+H6ekIsZLP0xptpqLnGTuzQLTl1STTRCpnhLMIfzchM13T10emVkKrK6wsJfF0eakvVnEGXdRLdYR6WYyZQ3Wwsa+f0xdmDO+4q7btoqyXUERqaTZBMpXD4XWwbqCbY8dn6Gpqoy3aSlVJklaqtIXD9LT3sf/0EWRZ5sNveRvP7z/C2akztLdF8LsjTM8sUnIodLW1IXmhmMjSG2tn7/kzKEUdJV/H43Ma59XT7KYj0I1Xhmw1QcZRpcPfznI+jacCzZKT2XgWV7sHqQqumIdStUQtrRk+csKsr7+tiapfYn1zPycXJlkcX0EOyLS3R8jWFW5as43jk+eN+69IZnVJMiG/zMxMkpHuGDNZsX8d7D92Ci9OtLBMpVDD63caDGLBzHZKMl7JSb5eY2ffEIenLxjsxO6mdibn53jfPbeiFCSGh3qYOnec5+cmcVfddEXDRjDIyfOThqWb8AbdvX07pVKahXSJufl5Ll83zOxymrauKOcWVnBoChVdQcnUwQXbhkdJpuM016EWcTORTKNUNGrpOrH2ENlayZAGI8mUc1Ukl8NI8S3UKpwZX+K9V+xgNh5ndjHH0EArsu6kUK0zL1VZmFw0LAJuHh5l37y4F3hIJ/NsG+7gwOQcHk0mp5aRfW70qs5f/uon+MLXv8p8pUg1WePOK67BH/DyC7/4+9z6vptxuBwMSmHDL7XiUA1vwvSUANlg5441LCxkmE2uGDYElUrF8MXb2dVBsaKS0MvkxIOA4U5mckXqdZWVTIFr12/kicNHCLR4yScrhj2DL+RB0PmaQ24WE3njnuBwQ0tnhEqyTA2o1esGCK4Lu0hdp609bLBZk8kyTp9M0BsklUgbfoojwx1Mji0wPNLJfCqFHHGSminTEQ6xa8t2Hnz+aRwOCV1VjQeDAm1+9qFnfxr/fXm9Xq//UTX/md0/aVDsTAJRZiMjmk4BpJnAjLVBbtT8mGVnLb1WwMq6fgG6WFk+jZplOwvGvi5rmctZ/Y3Mptbut2dlKl6qrICZHcw0998KVtkBrNVYfCYbrNHxNGJgrTae1mO3b9MODpksJZPFYgW+rGWeb5MBKsoKMogS770isfi/eYHZG1M78LoakGNv8s3xtUvbXssYWNlcVqDYlA7e+IWp/wJEXipB1QR17aw0O0B9MRDODrxcijEnSoCyphTaynK0s9ys16Od0dQIFLLuh1n2+W2dgyYoshrDczWwpFHZ2a6rjVEjwNUOQJqgdaPXTIacFdSy+9xZgadG90g7G3E1Bl8jQKsRc8t+fhqB3Jcq+/jZr28zQGU1xpgd2LN/PlwK0LeOo/V6aPQe834sSoRx2MOB7MCl/R5hlvXvq33m2BnN1veJutjDIuvfG22jEdO5ESh6KZDRXKe9Gt2/Lwbq/l9h8v3W7/wCFafKykoWTVGNZkrTFHqjUWLRFibic9SrVdxRmWyqhMftxOdxE3a3kcqnDG+2qmj02tpZyRfRVImNa7qZWFoiEc8ScQeoSzWoKlS8EHA4aYuGCfs9RINhltJxHJrEgRPTNHUEDNmpoLa5hARJqRNyuigoKu3NEaaKKao5hXDAi8fn5Suf/jZ3vus2pIJOe1crS1qSalaltSVKWzSCpLmoSQrzM/Ps3LbeSAY9tTRDKVc3PIgkoTcU4JVI/fO7WdMc4dj4IrrwyBPedz6P4TUkfAO1Up2WgTB1n4vERJKtg8PMJeJUK0J27EGSHXQ2hTifSnHbxg2kknkOzc9wbV8fh2cXKSgSzVEZXYP+pjDH51bIC18+t5OtvQMk9BoLmSXqS1UjiVGlZjD6XB6XwUpx+iUjCKWzJcTKYha338mgTzCEdJZzeUZbm1kp1FD0Gou1LKO+ZqaLBXasXUtyZpHT+WX6I+1MZ5cY6mhjMrFCi+I1/Liy5ToVVTGM3oUkzY2DaraGFpRftX9zyLhkyfB6khSNqlNF0XXWtURZWClz9fAohybmDEZWe6idqieHp+Skrb2dDTu2MTs/Q7WgEpMdPHF8P29909288MxzxJxwxcadPH7uFGMLk4x0dTA3n+D+rz/Cb3/iI4Tb3Ti9UWMetUWjIBc5eWGJbDVHQHcz1NHKofEZHvnuY3z4Y29jai6Dv9WDnlVeTdhtltCcKgGXF6fuIacUuGfHVTx6+AAhIenzOPFITuSajuzpYDE/TlNriP5gE2dXlllMZXn4S4/xO7/7s2zbeSX/9h9fRveIcBSJoMfJ5/7hT/jEb3+a9V1hlGyBs5llmn0tLNSX6ZNa8ASjjGfGcUlOo4kWvnbr+zdTr5e5auMQ33j2Bf7mV3+O7//r13k4vmD4r03NxvF6vKyLdfO7//j7fPgjP8uetUPccfOVTMZXOPzUPLu2xbjx5rs5P5ln65W7+ds/+h3i1UUm5zOGP102XTI8CYVETzA733HnnfzgsRdpbRPMzgu4Am7Dh0srKazp7uND972DU1MzvPLSPjav286ZCwfI11XefvVtKLLMd3/4AxbicbxuD+VKlTddfQXnpybQ3C4qdQ2lWuG6rVcavmrn4vPUsgVaW3tYSS1QqwqfwzK//TufJn7oEWKxNqKBAPlqXvj2GwB1TTAElU6cET/1bBKfW4DnXbjUOKlCgVDASaFYo67LaJk4mifEYH+A+RUn+w++yC1X7uHE6QVK9TL7jx1kvpJnoKmLRDZJf2cv5+Ym6I11cX5pEqVUR25y0SI3sVJIGeEFXZEOFuMJHLKCLEtUazXUus6mng4m4ykUr0y5VMJR1NmxdR0njp+n6tBojYTYMjrAyelJnB6JUklBKzrI1gs4A05cRZ3tW4YMcKZQqxOIeg02ablawC05CXr9BPwRVrJVEqk51g91kkgr1Golbr/mOiZn5jk7cYZQKMDhMxO4ZNkIC2mJhEnpBSMIR5xHt+xEEUhQBJr1EPF8hqjTS7pShoJuAPSa8FxDJdQRpJyp8OYrb+OxA08aKbgC+KxVK6zt20g2lWSltMJtO65mNj7DQi7DPTfdznNH9lJJKKyUc6zrbGMmkWL9hiHmJucIDHQQKFSplSVUOUeqqNHZ1EFiYYGhwU4qOrT3DnLiyCtMzq0YgJq4tzuDbnw+NwGXiy0DIxTSZZSKQiqXo6jV2Dm0kff87kd5/zvfx/bNoxw+OmaEQ2i6xt3X38TDLz5HS1MIX8hJqaCQLBVfla16nAZrvFasGeCSkOy6m9zs2raWIwfGqJVqXLZpkL5oE2VV4aFjx+kMx1jMJA2p7WBbK8l6kfRigdu2jvLy8XHefMVWfjRzgZWU8DN04A+6KBRqSCIMpKqxaWMf8WSSK9aspVYPcGjyCMvJojGfNnS3csXuW3n3B+7j137xgxw15qFqAIo7Bvv4+3/4Grfde4shd3asQG9fmAkBoEkypWLV8Hxc19FipOzOFTL0h6IcXVk0jlWr6PhibqQ6xII+mgI+JFkmU6owtSjAzzCaU2fl/KtS71tvv5rHH3uBWHPAkAxLsvhMllnIFQ0rCCGzdlQc6Godh1tG08Abc6FpDiqpCgNdUTZ29PD4oTNG2IrX7TKY5gK0FTJjd9GFGtBwuHTy8SJvvfk6vv/8i7x9xxa+d/CYYW8gZuKzj7zw0/jvy+v1ev2PKZNx0gj0sDfiVpBPADYC0DGbFztTwPT1ayRlMtd3qWbVKk2zMyrMWg3kM4/Jupx1u/bmyHzN/Jv5s7n91yIdtDaO1obZvt7Vtmn93f43K7Nvtca/Ua32mnX/LsX4sjf41rlhb2at+2mVcJtlByJNYKUR66oRsNuIiWiy7cScs27L3tiL9QnGpwn0rNbUm+v6yT6vwgJcja1mZW7agQ3xmgAOreu3joN1vK3veS3sTfvv1v22B0ZYj8cEexotY1/Wurx1HBrdPxqxCy923TcCSBqx9C7GErSDcNZr0TrurxVkvVhdSt7fCHBajRHdiLEqmNCNWKMmY7WR/N4+VxrJSM3l7ce72n3UHNdGYFijssuW7WzdRsCZKWW3PnyxynpXY7Otxoa0S/Wtx2+Om8m+W23erfbQphHYbr0fWuXUjR6avZY5Yy5zqc9JkzVqBzytD6/M5f5bQb6J/AR/+lt/SHuTl4X5IppbY42Qx83MsGFolHghTsAfJpdboSxrJBN5mppihiF/Va+h1SR8so7boTKbydPc0kq5XOCajZuZXFxmcnGO9pYghUqNkM9JpaBTlVUK+Sp6RWXNUBd/9/dfMpJMmzuDxtN+tQ6Ves2QRooGVTAvmrwe1kWaOZhY4h//8C/5ud/+LSOxTyRQDg4OcObsOapq3WicBDgn/Pn8IT/Oko437CUnDMVdCkpJoVJ9VS6noHNj/xC5isbx1Bz5VMlg+wmgUZijt3VEGFk3YDTXIWeAeqaMI+jg3MQsmVqZ4XAHnmrVSCCcKuco16vILplqrU6o7iSpVfG5BUhZJxB0s3tgD4dmDjIaaMIpuThWXcSrSrxlcCNfOXaEt2/ZwmNzFyiXqijZGk2RCHmlYrAfqoUaTSEP7oifTLXEqNTEuVrSCOuo1hQjtXFnpMfwTNREg+ZwkIj2cv74i7RHuhCDKliEFUo4VJ1stcz1e7Zw7OQ4gx2deP1+XLUSk9kkQSlEIpek4H818VdTHQRwUXOoht+h5nFQPFfgms0jpCoyI6PtjJ+7QM2nQVXl2mtu5dy5Y4z29/PA3me4fPuVOFo30pIa58iF0+TLOe694U6WVhZ54ugpNvS38tKZ83zrS5/B5ernvp95L1/40te5+4NvYG1TG72BNg6nJo1wDOGhpopzVHXgibkopMoMBJtIaDXy+TLN7QFWzmaNuRPs9hqBMsVa1QgskZ0SbS1Nho/dL955BV3rrueb//k9/FqaU+kCt99xI/tf3EsdJzvXr2Prjiv5xy9/ip97988QqOs8+OwrvOeuzfz5V75FwO3hmh2XcfjkJIO+MOOFRXKVLG7Zhd/bykp+jm5XlAo6kuSjvz2G1+9jfGaeGy+/jH3PvcB73v82vvfY04wvTxsSxNHWNXzofe/h0//6OSRV4Xfffy/ltk5e2f8IKyspOro6+da3f8gDDwqpW8S4fn/tV9/NJ+79Rb71yP1kFZVX9h9BlxzIAlgMS2gZjZHuPs4vzCCJc6nDz99zM5+5/0lcPom1fT0sxzOGL2apqqA66jj8Mndv3cxSuk66kqKQyZCtwtaBTvbNztPWEqFVcZNSS/i8LTicCiG3l0hd4/DCAm2jXcyfm6ct1Exnh4+xc3NUAxK/8qGP82f//L/Y3N7LslKhxRulIxzFE/JzcmmOxbkFOppCoMr0dfSxZ3MfkqbwwtE59p49hM/holKooviEpFHntqs3MjOVwxP0MTYzgdvpxivJdPQE+ae/+09+/3c/ymIqRUGwZ1vbGVuYoiI822rwM+96G9946iHqNcVIhBXS986OmDGHVF3FWZf4hz/4E6o4+KU/+j10WcHhfDUFV644UBwKoajPYExdvmUdzzx/jPUj6zgzedYIGLjzyus5cWaSycVJrt25kz/+4z/jzrvfxKb+PlJU6PS0cPXtozz20CFD8l+sFGltClIUDK2Kg4xaoVyuoYl7kXjy4tCpxavosoTTLUFFxS285pxOqnodyS/xR+/5AH/xta8ihZ1Uk1V8Tic+X4CSVObnb7+H//ju96h5NDZH9/DymeeRAw4i0RYK2TR9kZgRIiQAtDUDPfz8h+7j8NGXKaVVDk+fZHE2Qa5eJhoK43e4yShVwk1ueoI9nDkzxsBAK8dmpmkVHn2OV20G8LjQCzU83V0UlqdxOWSqDp14Jota0eju7aBazpDPq2xaO8zS7DKas46kelhIJxjoaDf87L7y1W/wkV/+IPlUlnilyJuv2c3TL50xEtXX6j4DYDqRTtE/ECOeLZFNl2kJ+41xlnWJoNvDaMcguekpg705IdfwelzklgoMtbYynkwy2NXN1PyswTILdPmopCsMXT7CtqKb+cU0o4NtfPFHh5GbJDy6YO9WDVBM3FfE/VkAuD4Bwvo0rukY5YeHT+Jp9/KObRv52v5j/OwtV3FkfIWjExcMdmIlWcXb7aW2VDNY216RUlwHKSSsGPp48sQUqqKwoa+doVgTK9mccRwDHU3kSmUOzS1TLtcNv8iyrlBSFeMeraFz1Wg/T52fMOwnxEOi+z/xh7zlr/8AQYMXjFRhayDmi9heU4ffYLuX3QrlxTJOAaRrmsHgFtJu8dmnShqxcJTleMqQ3BdSBSPxWgDV5XodOeCkVlQplMvCYtKQG1+3cYCpRJahgUGeOnKI69aupTXo5djYLD2xFv7o7//tp/Hfl9fr9fofUcL0/VJNoGgYBAPG9J0yARA7AHOxJsIqXTOXu5SczVpmQ2Zn0l2qEbcDYHZQyQ72XQxgs4NVjRpla/PdaB8bMY6sQJU1FMSUWZklQFQrMGR97//J36zsNWszbDbc4nitjCyr/Mve8It9E2y3Rr5ZjRpia0N/MYDK3C+rt6BVCn0xgMNaYl1CamsNIzHfZ1/ODuQJYEhIdY33/Zj1JMDu1QCERkDupQCSRlI7832NgGPzuzmOdv9J0wvTOi72cW4EmDeS/5qAjR2osV7/jdhbjUCi1eTy1mUu5t9ntQZYDdBvBFbZ/RovxnK1llV2a5fgmg89rMxJ8+/m+TKvaXEt2c+/le1pvw7t+2MFiuzHbmcAWuWgF2NM2u9FFwMI7ds3l7/YAwqTfS3mzKUANSsT2G4tcKmyjonVN8+8Ru3399WuvdXYotZqdK2LsgNqq7HpzPeZ9VrA4UbnbDWGqHU/7ffb7p/fz38ryPdnf/UbzMQTBgsgmSkYrLS+rnZyuTyyr5mJ2QvEmoJkszlawkGm5hfRJRexliCbu4ZQXQ4mJ2fJVYqUKlU8bmjyNJOvpfH7IjR5o7S2+zh5foG1o10sTSagopB2lCkqBfx4eNcdt7Njwy5+dPhl/uP73+GGdbt5fuawES4g5LUtXWE+8zf/SebEAt/Z902aWxwsTdXZe+4l8vMlvGEhoVKoC3YITqKxGL/5m7/EZ/9VhHzUiKpe5pUqrnyF9nCQk5kVWtd0UFrKo6sOAyQb7ohxbmoRTZfxCt+riormdVLMV5HLDhRVo7snjNvnJ1HPGVLSzW2DhHXFSDgteYPIPo3zy3OsD8SYWUmSpkq+WAOPjjvo5C0D63lg+gy7e/qYmkuQFmiDCC+IQy4EkkOwHCS6mpsoFApkKhU29vRSlz1kE0sG+JAolQ2PpNxCma6+GHWtZoSmFKtlhgOthIJeg4WBy8V4KonX63w1AVGpkagWKFeE4b8Dv9dPJCjT7+9CcnlZKi6QKxaJhYOo6OTKCtlqkTW7hpk4Nm0ARKKDE0xEXRLJnH5imhePR8If6qG9TeOHB46wc/1G+ltajATgZ546SqS/CZ8WRVcTnJmYoC0UpaJWaWluZi6epifWxPjKEoPN7eQdReqSRr9I2M3OsCbSS/9QPw8+/Qw/d9u9fO/Ao3SqzcwW5njnnW/gk9/4OrJbAMEaekE3ElB14cPlcgIKd151Pd/8/uPIEWOYuXJgD5Ggi8cP72VL9xDx7ApLuQIuj2R4Y6kFhY2ja1khgzOrkK8WKJVq9Pf2UUpm8ce8jM8ssbmrk7FMAqWosm3PZeTmZ9jW1c5MOWAkYi7PL+DwhTh29AB9I4IllqY90kJ3c4Qn9x/l3XfdyYc+8ut89d/+li89/AhOvxunrBF0OIlFApQrfr74ha/yzS//I++87Vp+76/+mc0b1vP1hx7F2eTh7/7w9wl7Wgl7ZC7MLfNPX/skSlZjZLCP5w8dw93rQV6UKfpqOEsS4aiLVKpqsD+Hu9vZNbqFmXyBqAbLs+MsZot85AN386mHv0c6VaSertEa8nPv297DD/e+wHtv286pxRLLImjB78UbCvDE8y8wn0+yrqcDXZNQCjUigSYD5PZIGtVYjNTyPNWcTqa0QlM0Qneklb/868/wng/cTa5eRNY1tKpueNcFfQG87mYGWptIlHKcuTDNP//JH/Mfn/sSnV0RcmUHIb9Evljh8Vf2EfJFGentNth76foynf4YyUQKyakTaY4aoQHXb95tHPOR4+fpG+7iwSeeZsfmDTy79wTICqGYn3K6THNLiEWRIltRCTV5KGRr3LLrKg7NHOcX3nAPf/LFLxnghbApENJ8weTU3RAIeAwmVU3XDG+233zjXfzFdx4gHPBw7TVX8fwT+0jGM4T7g7jcDmqouMtO/FEHisvJWm8nksvN0ZlzxDwhOlq7OXLhLIq4p5RUukNhg2kquVysZDMkk3kDUNq6fTMnjp+iuSlCX/8AY+p5pIxMNVNk89p+zpyf5bc/+C4mVgrc/+jj1GWdgY42itRIZXKodcHEVaECoYgPpV7m6s1XsZSepau7mef3HSPiaUfylfHiZ3xuHlwSXpcTzaPhygo2rwOvLHwaq4SiftrCIcbHl+jqaWZt51rGlydZySURCJLscLGue4SlpSUjpfUtV17No4cPs6u/x0hkXtE1do90s//YeaKxJsqpItdecTnJaoJUooKmlUkkEySKZbr9zXgkB4NdMU5OLhjJ6HOOgpH2HHH6iDWHODe+iCRLBgu7mqsS8vjYsnkn2XMnDRBzql41rmshuRZBR+LBkEiQrxZrRuqwL+yhpqi8fdMmEoUqkZCT5y9MEc/l6WiNsDSfxRtxEomE0GoiwVx87rnY2tTBvoUZQZhk90AvJ5NJrh8corulha+9/BI5tYpWEGCx8OFzGF6d4mGMP+xltK+LDncEV0CkSrvw+CG5GEeqabj9PnyRJmZTyxw9fZyR/jZyqQouScTsqCxl84aEfaSrjQsXlrly23qePXoKt8eFIwal+SqSW0L80wy/TcXw3hPjE435jYc+4rVE7tUHQDfdspunnt5HuD+Mv+yhqpXocgUoqHXmZzJE2wPiwwqvQzZAxtlUzgChxdit7e5jMOyirGk8f2qCTVtHOHFqHG/Uw52DayiVKrRE/Nz3e//80/jvy+v1ev2PKdNI3doMmc2WPeVQgIKm+fr/SXLfatu3l8lwsTaIZnNvr9Ukn6LskjfzGMUxiGOx+96JsoKJ1uZU7JMZImJne5jVqBG+FJhjZYyIMoNG7NJV83hWO/ZG1Qj4sm/XBEDMhtxcRjTJIsXYDLy4VOPaSMpnZxxax8gcRxPssAKEdgm4ffmLHe9qIHWjAA7r9s1jb8QAsgNh5rhY19dIamw9lkbVSGp3sWp0fGYT/+nsJ/+3fVoNbG60TyaYaTL67ICT/Zq0A67m2BjHZQON7QBXI7DFlBq/FilqI5mmlT1pDfuxsqus4HCja9Q8RpF6K+5L1t8FiG1+t94HzH2wSoHN/WnEFjbrYixj+/Hbpa6NmF6rPYCwsyutx9/otdXuE/bXrPfO1UBE+/FZq9EcMEE66/bt15L9GFeTIq/GILeO86Xq0R8DzvYgqkZA6WtlOa7G/LWz/RpZPjSSEFsfQom/2/0I/6+BfP/yhT/j5JkJNnYNMBtfYKFaJCK7kDUfHU1hipUcE4mEEUrgC3jx+T3U1RrFYoHdw1v49d/8M771+T9ntlLm5PGz+F1OCnINt+7kjdffwPnZJU6eO43L46SrowefkMfGs5SCEgdPjRMIeQ3/NNEwCwBoYSVFczDIXDxlyLhqska9Vje8+lqCrVy9fjMvnN7H9sFtPPbic6JXZ826PmYWVpA9TsMwHiS2DPcxNrOA5nfgwonDpZFZyHPzmhEmM2kUr4OsWK/kxOV0Us7VkCNu9HKNSq1OKZc3pF5KtU5ra4RaRSReONk42M8rZ87hd7kZHullfHYazQFOp5Prh9ayb2yMkqywI9rKoaW4wbaItAoDfoWgx0PRoSKJCGfVgbOqGXLBG7oHeWZxklt2bOPM/vPMOEvI4TBqMk2xILhgGN5/a2ItTCWzqD6Nm1sH2b+0RKFepJar0dXfwYZQlGPzi0gBB/FMid5oC1NLSzS1tNDic3N2Yo6+5hYkVaIYrBpsuL5oO0v1DJvXjPLs8y8TCfgp1zXcbj9ZKWsAAZph3i5YYLoxVk5doqrU+Ni7fo6X9v8IR91hJD7u2rqGgTYPCcOjbgAFJ1/45peolBxEfRF8zjIlh0Y6X2NDfzd33PFmvvrVfyMSbqacg9OpCTaODHJuaYrhUJshk57NZ8lnSmwd6MfhEYCHj4HeHk6cP835c1MI0yjVpeEPeShlaviaPAYQ43Q7SU/mCXZGqThyKGnVkIltXT9Ee7iL8ytjrG0d5djUGKqzwpZ1WyiU82SXluiI9nBuYZyYP8hcJc1QNEa15kYrlZippvER5PIrtrHvlVfYPbiWl8bOobghqAQZGu3mpUPHCfX6yMxlGIl2s1LKGcDmrsFBLt++npNHznKmFDdCWlaKOYOtJJr9H371Kf7t83/JheUUlWSK3bs3M9zay+//x7/wpj3beProCbY2DbF//BwP/vuneeNHP87mbev4xDs+wNe/9H02X7eFL379P6mJjN2qYLVKaD6QROqwEURSx9vi5INX3cS3Xt5Pk+Zl27bt/PD5Z6iV8kT8UXxuDYc/bDA4b7jsavadP8za/gGUYpFkuYBfakF3VJAlzQhHmVy5QDpTNnz9Am6dfE2lK9rM88dP8+brruLU6XGy5NA0P0FNZ/3gGmoioTkEJ145RUmp4A+FCfqCeJwyTreDJRFG46zzrX//AR/86Nt57xvfxN984csEnBKyH2qqRCjgw4WLzWsHGO3s5aGHn2BJrRrXbndzFE1xsJjNsGfDek5PT3Pdph3094b5z+ee4+qNm3jy2aM4/Dpen4tCssLoujbS6RILyRy7BnawdmiYujzL4nyG5w6dwhVwolZ1nJqMO+wyQiYE0I8TI3xArcLm4RHm0kvCCs4IfVg5n8bT4mNddzcfe/dbmY7nOXbmCN955hVxKzEA0bDHQ09rC7PzywQDXqZTWXxeD1peMdK+2wmQcVeR/U7IqNRKKu1tHUxNjXPV1rXMp3P4mlz83W/+HN9/6iBfePBhgiE/W/o6ODS7YATXCE9Pry9keNr93J1v5JEX95FK5wk1+fC5gyynl0Cr09k5xLETR3DIbiq1ErpbMjwQJdVBHQdOkaQqwoMcImPEhdOlEQj4WdsvAnBkjp4/R6u7zUjSLmklsoUiTS0einm4+eptHDkww/jCFLHWgPFgQjBrh6J9nFwYY6A1Rryao5ip0xGIUJUU3N4oy7VFtrXtZDl/jvbmTjy4mV+aJ50u0t0aQJKd9IwO0tHkZ24iy6H5UwSkKPPJFcP2Qa1rXLZlPZGQh+S5KRQ0isKXcTmHMuihMlOmNSYALM3wQKzVNbrlJpCrKBWZ9f3NtAh5ebnCD06exBX2IOiwckHlqnUDPHlknPaeMDtbenDJOq9MzZLMFrlt00ZeWJrgloE1nM3EuTC1bIRHDXZ2cXx8ygjDkBGM0FcB4jVtTWzv7uZb+08KYp3x4KFW1Qy5ryzSbnWdXcP9HFmZR2SdC1ak8DOtFUWgi4aaq6ML1FCA0OKRjIhnd8tsXN9r3Pu6gl78HjdPHjyH4teJtPjwSzJKXcapSSyn0gajVQCOPpdMSqQEO+DmTZexUI4zv7RkPPCqe6ArGCGjl439c4iwq5JGvawYEnfh7xARieGxCK3BEMvUyZbyxJezxmfkxoEBTmcW+OG//fCn8d+X1+v1er1+ynUxZl+jxtmsRpImezMoyi4jtYKGJsPPBNfs6zB98axNrZV1YmeU2Rk39mVMcMTOsrIfW6NjvFQ1YqmtxnKzMsKsDClzrO3LNmJhWb83YvTZgYXVfraPQaNl7QwmO6uoEfBj9R2zV6PxtPryWcEQk83aiG10Mf+tRummFwN/G6UE289Do/FpBHA0Ouf2sbO/v5Evmx18MJmRdibfpQClRnJ408vOlFGvNj6rAWV2ebb599VCSRr5ponvpjTWDqiZDzFMX0YrIGwfz0agdKPwmovNhUuV/dyZ56TRAw7r+u0MQxMcsrPrrPVa7yHWsTfH3yxzPgsQ2coct0r77Q9j7GNrrn+1a9/cpnUO28+DvawS4dXqby/yebMakGfeH0w2dKPPpEbXVyPbAOvrjUBV+742Oh/me//bQb5f/52PGv49HZFuvEGV+WTc8EbaOrSGQqXK2PQErogLd9hJ0OHDVfUzm54zpGCbB7o4Oz9PoazQF42xXEgRc4nUWRcxl0a2WgJvkC3Dw0hqhUdeOoXbK3HDmiFOTy9x2817+MYjP6I13GbIkbKOPN//03/hV//mT/mND7yPX//Mp9jT08Odd9zI2TMT6BE/X/nmD7jlmqtInD7HeKFKvJwjEPTREQwwsbxiSBU/dNOdfOHxhwk7PWhOF22hEKfn54ym9spYB4dnl2iNhanLbspakWQ8i98nU1QU8MloybrhVYeiEtDDrFvTwsxSkpHBIU6cuEDNXUcr6mwaHmRDf4SVjMLywhJt27o5+8oYCcpsCLRydGUJd0h0xG4GBwYZm7kAAqgo6UbSqprWCAifPpEirIrGDTodIaa1Ih501KhMLaVQE1LdiJDmuQ2GiSssc3vniJGsuK2tk+fHJhnsiNHpDxhN+JlinP6OPvxqlQtLce6+6Y185eHvcv3mjXiaI7y0bz+33Xwnxw+dorulibML5wxfLzEPgn4vkUiUlqYIPrcPr0vC5XQL3JTJ9Bz1kszCskjqDdAV9TM3l8Dhc+HSfBSKGaYzOT76zrdy+vhxowFPpXPsvu1avvaFbxqG7gLEWTc8xJatowy2bOH8udMMDLXyZ5/+HFJQ4opRIfOeo6e7jbNjM0Yqab2qsmfbCLu3Xs1XH/4WXXIHZxcmwSfhDMuUVyp0tIVZXMkSDHkN6ZpoPIUvmjCOF1JMl1NioKmdWrHIZVdeRiVX5eGnnueDH3gHX7n/27jx0NouZOVVqNZpi3TianJQyCi0tvoYjPXzxL4XDa8wwR564EuP8am//lvOTO/H5feSFkEyZRWXqrNl6w72HjtAtVDG3+Tjst4dZBJzrBvu46FDhw3TfBHmIBry9739zXztqQeR5mUc3jqaJqErGtuHhnjjrdfhDnXzwkt7eXH6Odw1H+VKGZ/kJFuv8fj9P4CKxl3vvps2fwC5I2Q07ZlUkqIIjJB1I8hFsHZKSzUja0FMsl96y218+huP84bbrkb1R5iZmuXM5HmqiSIj3a3MFLP8wns/SGd7jCee2svC7AQZrYJTUdmxcYMhEX/x1BH6BvuYPr+Iu7XJOO7L1nVz1y238xdf+DRnzs6zrr2NDqeMf8dtPPrwF+lt72LP2jW4AgGeOnbQAPODukxN9zCbnyAkBUjl86jFOsEmHyuJHGt72w1/xct37uHQoZOMxUWAT4Cw10dzV5j7br+b3/+3T7G7q596oI2TYyfpao+h1l0sxWdwaVDzOpBUNwPRMIcnp6h7HK/KtzXBX4I9oxs5uHyWakFhXY8Aklrpavfx7MvHEUHNqXrp1dAZh47sdhJweKlpVYNJt5RIEPU2EWsOkq5kyJXqaCLgIOaBmggZ8pNOl3E5JNpb3Cwsl3ELZFCu87Pv+hkGesJGqqmnI4KjojDS52H8bIm5uWWhyKVcq+OTC1TcneRFGm0mzrVXbMIzkeE3fvBtI9Djzz/6AR575jlmCxnOj8WR3DqtTWEKBZWys4aSE/fzIRLpGrdddR3esIcDY0cIBcIkJucZm5vl8q2bODh2nnK1TEBxUtRrBJojKEKW6oahSDPFukKtohAvZYmFWgwAcTq/xO41G0lk02zdshGUMs/tO4ZH11golAm1u2l2B5iciTPYM4BLUrkwM0dLUzPLmRRruptIlavUVAe3bruGb//oEaLNfhRVoZbRUYMKraEAfn8zXa0BlKrEvEhULuZQjA9CBy1RPzmlSpAAqlthuLOPg6dOG3JaOSzCZnRkh0RXawf5QoYOnxdv2E+uUiKdLRlJ6kYehEciJvvpbG8nJLfw6MGnDQ9Af4ePUM2NDzfDfU2cSS6xOJvDq0uUXBrv37WDH548S6YuWIcqA94mBrtbORif4+b+EQ4trDCTWDEePly7dpDnz01SK9eNsCB3wEMlU8btk3njhnW8eH6WlVzO8KoUl6tWN0KbDYay8EbVayrumNfwthX7W05XCLYGSS5mDVaisLfwBV04SuBrdpNLV6hXVHRd4y1bN+Fxy+RqFZ46e4FowEcyW8LZ7OSWnhG8koPvHT3DXVtGePLChCEPFgC+QB2dQSebnGvYvEGEfghgUeL+A8e4YrgH2eXk9HKBkeYAUb+Hp06MsXuoh5AAVjUXf//nn+XnfvXtTI8l8QQ95Cslnn7guZ/Gf19er9frf0wJCaidsffTKpP59/8E5Gvk39RI8mktu+RVNEMmaCfKbJDMBs36e6MGdzX5mZXZd7Fm2w66XKpBvhR4txpAdrF12+V+jVhqds+yRmNtB30agXvmmF0MJLDuq73xNbfXCOBabYwaMWrMddrlv3YAQjTgwtjfWnYmXyPwws7WEg29KKu81O4lZt2/RnLIizGpVpsX9nG6lFeluT4rm82aRGw9n43YqeYxXEo+LwAwwXYT170p12wUtmAFYqxMytWWb1SrAThWWW0jOXAjf0W7F6GVqWn1KzQtC8x50EgKax9H8/2NErftkuiLMeEudi9pJN+17oMdfG30UEKUCXTamY/mOlY7D6uxLxvdS+wPChqxTS/1PjuruNFDFfN1u5TWWhd7zVr2zwb7vLqYTN+si7HvGrGk7WNjtTgQdSl/SfuY/bd78v3B7/8ydRcGYy/g9OHQ3cwvLODr9NEX6jYMtFdSeYa72vAG/UzPzTM1tUh7rI2tw70kEmXOLJ5ntD9IKavT7A1zOD5Ld6SbLBmihJnNLBjBHAiQqpSjVNNZSCS4bv0O9k+dxFuS+PDb7uCh515mRc1SSpbZ2DtE5/pOJo6Os5BL0hEJGXLa3r5ekVXKwlKSj9/zK/zNl//aCP/Y3NtvyDTnlxfJVyu4XF78khfdWaeqq2TTWYJRv5EQ2CT7jGWCHj9lZ9VIPnT5AiTLGRxV0IIaarJGsMlPl7OJbZvWUqkpuIQsz+Hiqf1HDDnonq2bmamVkBwVFmYWee9Nb+D+vU9SK1epuoWMV5AKJUY7Wzi9vIRPlXGUZbKlCgPuECvBOtVUmf6uVqPx8Wkywy1R8jmFgNfFTC3HSq6MX1HIunXcukSzTyTzFvBKLur1GjdeeRmT4+dx6E6W8jl0n0Q6WzSYIGHFS6Q5TL6Yx9sdJDuT46NveTMP7nueyzdfjaSW+eHxF7l2aCdnjpwlRZY//th9/Mpff5o33XwZ33plr9HkGs2maC4lJ/dccxX379+LK6ezqbubQkVlLLNEWHZRqyqs7Wxj47oNlCkjh2Mceu4AS4Uk7Z4QF5aWicR8rBvqo56Bc/EpPvb2d/Pgj55iIrvAQEszP/fWd/Lb//ZZKMnUajWDESU8t9Z39jKfTRiS8Ft37OHC5BTnM0tGcq1ggHllmVS6TKDJRbWgGT5mks+BklfYtm4dLlUyQLbv733WWMfV12xhbGyCWGsrU1OzRjJvp/C+Khd4/9vfyeyRMcYzs5yfWTSkjZtiHZzOrXDl6C5q9SJj8xNcte1K2qPNfO3J77OpZ5DTMzP0xlrIVQq4mzzk5goUhHdZe5j8Qg6vy4dAizb1dzAYaOH7pw8bzKGeaJRkImMEzOBQcMs+5CC85YrL0WWZfcfH6Gpt48DJwyiajnPnVXz7vnuJNLfw4uHjbO5q4e2//KtoBhIloQrSqYzhISduE65OD2pCRReIgVvmHdfdwKFXDtHa2UGwJcTc1DKbN45Qc7mJ4GY2vkRWrXDjxu2kCxlSmTRet5tSpUi+WCKsyyyXyqwdGuLUhTH+6i8/y30fewfpUoVO4YPp8zI+ucKW3WuZOTFBSini9QRoCYTpbh4iVZxHqUFBK1ItFInn86xZM4q3pnPX7W/gb/7jU2zrHqESdDA5O0OlUMYZ8hAW5DmPA5caYCDkR/cEqBRUHL4y8ZUCOa3ErZffiFvRDUbd2Mx5qppEcT5PoM1DzxX9jD8xTrmkIMckI/VVQjYYbl4XpKsV1gz3UyyUuHzTLsbPL1BQl5icS9LWHGN5ecVIUxWgvKw4kAIS1UyFwb5uVlI56rUK3pYItcUc7mYX1VIdl+TAUdENxtZQXzszc2mDwanKAuPV6Yx0EM8v43S5CLglVuJ5VFUYrdXp3zJkBMnMH17A41Yp6k5i62Kkz67QtbaV6dNL+EI+4/r246YmK1SzipHuHPKGyHuqOOJifF4FNZ1VnVhHDJ8TtKpENNbC6XOnqLskmv0hcrkyVa1KVIA7IvTI46ZUrhookwhvkHSdDVet4+yLZ7lm+2XMzc0Zsvzp2UW6O0KMTSXYtGGEFo9s2CecmJ7CoUvsHurmpbMLuHvcDDrCOAIBsvESMyvz7BzdQraWRtZ0zk7Ng6Rxzy3XG4Cu7lINVvHmwW72jp2nJ9hBk1siV60aklcRjiFk2cLDUNB03Q4HroCLiekV+ntjTM+m8IZdlAp1XA4n7R0BMtki0UgQp+IgW62gyBpVEUJT141rRilq3LZzN4lknPHsAplkxZCiikTjiNODVwBX2SKdrU0k01nypRpv27aJ6WQaD05DQpuqlPG4PSxWMlzWN8hL0+MspvIG8/Puy3fwyInTAjGmVqsQ8YZJZtNIHpmo7KY9FOLMchxZdhgPggSr885Nozx07Cz9A21cOLdIf1+Mmdkk915+Od8+esiwmxDEPcG6FPPT6XQYARcGyOl0EPR5KdUVrtyxiRNnz3PTzi0cOzfOSiGPW5bIl6r4Ih6qZZWo38eegW72np8m76gboSzF5QrRmM+YW3dtXWOkF7tdTo4uLdIdDOGNBlBydUP+LKkayXze8OlbymSJxtq4rqODTz/9Em+/fJvxgGJ+JcUf/tOXfhr/fXm9Xq/X66cIAJrpvqux1exMPhPAuxj7zSzR6Jg+gmajdDH5q/ke0QCa7Acry9AOdti3ZTZsdl+sRkytRiwqK2vQ6gXYSNp7MbbWpfzKGrGALgbEWM/Da5GfGeu2ACP2c9cIEGnkR3cpRl8jWWSjZtvK2rkYM8x+XhoBz9bjalQXa/ZXq0sx+BpVozExf240x63ja2Ukmu8V+/CxyC8Z42QCII0AH7Ps4IJV1ivAIrGNl1s6f/J7o7JKIa3pzReTh19KHmkPfrBvzx6KIO4PgqlnlgAqRYm/iYAhU7JpBXPtv6+2LxeTTb+Wsh6LdR2NwGE7q63Rtldb/lLrXk1e3khWax8PKwh3MT+5i91frOu3ynobVaP7yGrMu0Zz5G9t9/BGLOHXUvZxbMTeu9TYXOpYTcagedziWrVew+K1/yty3Z/56L2EIl4kt5O2SBOVqsrs4gJOn8xwrA1d95GopAlJbnq6upiKzxH2hg1T7nVdAwbYMjY9RVPUT6Fa4arBAU4KI39VJlNYZuOuDSycv0BdEdK6Ec5dmOYX7/4Av/zJP8MbcqOUdFSHQtDtJ7OUpS7CHnQHbZ3N6DVoDUaJRgIkppZYdhYJyCEuG11DX2eUp/Yd5cLUAs6gzFC0nba17dQXSuw/d8ZoVr3+AO+95jK+9/xxRpu9KDIcSSwTcLooShq72/vZOzPOrT0b2bswxo7BUaRQkOOnjjPgDNEWiTBVLpEp5KgpNVZSBXA6iIR9VKsKm4ZHOHlhgiu2bTM89ApanoVlkdIpGQ1nvl5F80pGUq9DJFjGq6yLtYKqEvGGWFKzfP6PPsajP3yS22++mbf/ySe5Z80misJ3T5L45pFjxNqChuyyUq6jlF9NtdXqjlcZa5UKSlWBkINtzV2cWllh/WgfqbkVWpp9nJhMITt01g514ydIuphjbGGG2y/fxd7ZeXzFIiFHkB0DbZTqBdzN7UxfmKF7fR8v7T9Kx8ZuTh8fw6UL2bSOUlYMqa6YF03hEMvJOJpbp90ZZONl6/nRy/vJVCtsb9vKVPIcl69Zy5ELE+R0lWa3m7Ksk07lue2yy2gPbebzT38OPa0SbPfQG24xwI93XH8t//nMC6zv6ERpivLdRx8zZG4Pf/Ex7v3gO/nKF7/Fhz/4fm64aRffefJxpKpEXa1TqimC6II/6EHoJctpwRsU1EEJTTEio/F6PTzyza8acu5P/uknObJynLKQUUtuUqUam3pH6O9opqTopJLLbNu6ic9847tGGM26lh5Ozc7QF46CSKdFpVOkAZ9dIuPO49VcBgDmdLupqiptsp9aUKW6UsERdvGODbt5cnIKh1YhEgtz9tQkwZBgDuYJBLx0hJo4P79IT0sHdS3H8mKOPTs3sf/kaeP6/I37PoK0vMBUOsM733cf+ELUS1lcXg+njp3nD//mj8lpdVyKk6qmoOsOwy/L0Nxp4HY70H2y4aH4zoErePL8aZLFPA9++2F+/hP3Gfuwpq+f5/bvJxpys7SY4uZrrjWStMfnp4nXikxfmOLOu+4ggtNgzC0l8/RGAqj+AGOTE9yx7WpOT4xx/VW7efb4AT5007v53v5n2Nw/ytd/eD8+zck1O3YxtZzhzMppfJpksLi2j67j7PgMgdZmfu999/A7//QZ+qJtzJVT6CgGc8gf81GYzjGyroNMomIECKzt7mU8uUAlKSPFykTdEepqhbZgB9lqlXR6yZBR+6tRCtUVIv4gs4sZQxrtCMsogiWnu+gMeZlbyVGq1unvipFRRDCPk/fdejOn5yd46cgpVDT6WgaYSEzjqOlIXskYY6eQs3tVJI+TuvDvdLqp56p0tHUjO1TjGq2Wa7T3N9EZ7OJCfOzVBF+lTq5cfVWq7XXi0t3U9SpqUcS1inughD/gopSoIAufwe4wdSE5dzvRKhU0v8tge7U1Bwh5u8imBYt22kg87Q93GDYEwovSqftYWligpNdpigQpVUoUylVcDpfh8SmSW5sjfgoiQKGqUqzXjdTWq3ds5uULp+gNd6NFZeKTi0hlhXrYSb1Yw605qEs6W4Z76YoFmEqUWM4nSKwUGWhvRilX2bjnWvbu/REVVWVTXzepdI2VbJzO5haml5YMr1eRfC2FJTyKE0UXdgjDKNUiBaeXUwdP8K5338437v8B4VgQ8ipDIuBjepayrLIm0MpEMklbwG9IXxfkimGxIFcVI3xjuLeFal1namoFn8uNLxLAEdBwyQ7cFdlgC0oOB/PZrCF/3dXXg+LQ6emNMTs2z5FEEq2sEI4FjCCWqlLhurt240jW6God5rkDzxBwulkpZikI5qHAZpNlemNNZKUqt+3cw3cee4Zb9mzkleOTRjBFZ7CZxVoGR01D9rrwR7xG8rwIWBm8ZZRzj5zm3t3b+drBY8a8MeZVSXwXiRaOHz84UnEITz+nE6VYZ/P6bmYzWTLLBa5+17uYevkJ5mfTOJvc1AtVQ269ZfdGThw5iz/spru5F6meJZEvGaFEXf5OutocBBxuXp5fYHNbjAvlLJWqg0LlVTuIjqY2aq4SfU19rA0IQbrOZCrJkVScK7v7cKgaB+bn2BLrIBT04PY5SWYyXL7tWjK5BN996UUua+1i37lJsg6F5x951bPn9Xq9Xq//O9WI3Wcyf0Q1kguu1jRZ2Uii7B575nasbEUzNESACdYGSZTZaK3GPrQyhBpJzC7WNF+MkWauqxEAZl/fpTwI7eu0/90u/W3kv3YpsNUuabxYWeWKq/mG2bdhZ+bYmUdWttxqUlmrLNoe5mBvrMXPJjOm0fFbx8j8+bU0+42kk6sBfvbXGrHzVgP1rGyz1fwEGzEfTaCvEVjaCIQwlxGMLzPYwzrXTOmtFahrlDJsB9UayX7/n8wzsZwJzNnvKf9PQTVrMFCjkCBT2mvdb/OYL3bvstZqQJc591aTDpvLXYwN2gjYt99LVrsXXUoOv5oFgXks9uNqJFFttI/W7Zvva3Tvsx63+TDEZLdZ5bH299vBNWv9n4J3/Zb5btoTXOxe9Fo/H+xjadopiLLL/q12C3Yg0D4XXyuTT6jMfirV1dmMJxjA4/ZSrtXI1LK4fT50h0xFdzA2McnSTJKphSQ1p46qSszHk9TqqsFGEQybkZERasL0PNpBqqRQLlap6hXauzs4d+w8fW1DtIcCnLuwwMJKhtMnzzE8sMZI1wwGm7j9xhsoqjLXXr2L9119C7ftvoomRxPru0dxRj1kUiVqQRcjHQN0tUZxeyQeeGkvUwtLBMJelIzK5NIcR148RahjkEDET6wtgjvo4lsvvEyOAnVV4qXZGUqLNe687GqjwT0u0iBVL/vnzlHXNZ4+fhRlJUGmVuV8NcPj42PMKglmVhJGqqYkyYbhuvBAavL70KkaoRovnTrK1p3rURTdMKevSDVyboWYN2jIq1pVH2sIGQ21oihG4m6uVGBL33oeeWQvx1dK/Pv9T3D9jqtRPV4yDijIfkZ7+knGq5TyKnVNw+WRGe3tx+MVMq76q3JUl4xLMAQlnbDfw8z8Euv6OphOFXEHHOzqaTPYWWv6mnHgwB11s3lDPzuiTWTKRRarCWY1DUlz8syJ45xOL3H+xDgtoRZOnp2gPdpCNVvHUdBo9YWMZN25aoo37tnDz7ztFlx1J25vmL0vnuamK9/Mvbd9gLJbJdIU5cjseTb2b2M02s7cSpaV+SRL42m++/QLfO7xz7J9bS+BNj9/9vF3cH55kbffejN/9MC3Gezo5qGxIyyfTdLX0YTf6eaP//i3aO/q4+P33ctyaYUzp8cMv0JXEEP2JgBCAcBWCnWqOYWdI9sMY3khvXWHhGZX5E4KgZ+H6eMHuTB1hmDdj6fmRMm7DInj+Owszx4+gpLOc35hgfi0kM05UGsqY0tLeHwuNo0MG8EnQUcId6GGrz9o+LEJn8MNPesNvy7B3NKEL57LhWsoyqbeAbSOAcOH6+3X3kGsf8TYl6JUwtPhNeS0k6klI4TE4azjdYbYftVmDp89R1ugk462dj57/3/yB9/4Lg+8fIA7P/J+IIjL38z9X/o2Pf29pHMV1KJgJSlGU28AWS4nDo8w+Vch5sTjcRohMctSAd1RMySC73rfm0in49TqVTzOCB9879txqQo3XLaV4xfO8txLr3By/AKZeArJ6+DkgSOcmJ+mayGFqlSQ/S1MTs1y1cat7J04RLqe4+XDB2gLBPjyg9/k2PlTHDh7nGbBrA36iKfS9LXFGGwbQBdmj5rK0bnzbBhuodvl5u++/R127diBMxjBJbxBHS5B7jL8wjwhN82uFuJKDq/ThUOXqQiJZKBEh6fVuDc1O6OvhtEoZVbSBTITWdLxBEpFJbClie1XDhH0uxne2YOkOAzwayyeoSoUtAEX8+W84eWWrRX4/COP8NyhE69K7B0uZuLTyM0yrjY3jmYJtapQFdEHZV5Nix3qwl2WkVUHy/F5nA634ePnckvsGt7Ke99/J7/5oQ+xkMiQzBUFVmMwVdVsnWqmwMaBza+Ch14H+B2UykJy7cApfENlN64eN76OIBUnVGpl3nfrrfjkNibmz6I6X/VEc2gOEu4siUKCidklEsk0o32DbB4cppwoUq+JgATJYIrpLslIVa4WVfSCRrksUrplHG6Jl06fNMIhPnTP7cTH5gzJbl2ksxbrxudGXVPZurkbb0gz9u/s7BzFVAWHYMW5dQq6xJkjh3HhwBMQ4+AxPD47u2JMrSwj+WRjvBUHBghXUTR6urtI5hZJ6gWyM9OogTpHXnoJXzBMqValqaud5vCAwfZrKkjGPRyfA7ckU1c12hUf2cUcalWjLRrCIzvJpQrIPpmR/hYKlQLpeJbEXM5gvXq8LrauHcajugxQ9NxKkkOTczx1/ByDQ53GdQ8+48NWJH+L3/Y+dYR4rsJDjzxObyDIWCKNS4u8Ksf2RuhpDqEKw8WUyvzyArGuCI+/coZ8uYzUKbOoZw22uEOSGYm0k17MGXLuqDsAL60Qqsh8+8xpark6TYGgYdUg5MTCt08Epgi2nqsuGcxD8YBHyIznSlkuGxo0EnNfuv/bZBMlYj1hvJpEwO3D3+qnlC4Sa/IbwUmzy/OcnlimWtao1XTGFic5m0jx/NQMYU+Il07PEvO2UEzkCWpeukLtIkKK9Fyew0fOcP+Bozxx6CyvjM/S5vPy/Nlx9q3M0xsKMZ/J8OThMZ4ZmyDcN0iqlGTf0UlKNZXxctqQE48OtP60/vvyer1er9f/gc+e+N3eWJqSI9GUmA2JCUCIEs2OAHXMxkj8vhp7zwT4BEhnhmvYAT5RJivL3hiJRuhiAJ81/dYsc1/Ed3M/rftnbdZE82a+Jhoz63LidcHAMPfD2iwaDduPJYX/BXy69V2vShCFT5oN1BNjKNYhAAPxs9n0ifUZyZM/Xva6+n/+l+OwN8Hm+bAez2oSTPsx/2Q/Bfhkpub+eBwajZ9Z4nXrNs33iRLzQjT2ZnNuBwMaAZQmC028Zkrl7KDa7/2vl3/yNwG2mvNRfBmBEL/26/+brPNi1WgczVoNwLa+bgWvBeDXCOATfzO+TBDVFvxgXaed0SdeMwFQ63LmeJogih3YEWWe/9Ukxeb1JtYtrjUBwJkMP/NaEuswv6zHbR0b8Zq4pswve4m5IK4VO8AnSsxx+7iaJfZFfF2KYSmASDEvzBLLmwCcdZsC5DGvN3OsxJcVWLH+LJazM8vM4xbj2eh47Pc+c3ui7PdDc+6Je4wdeDK3bz1v4jxZX280d01g0w7cmcdiXnd2kMv8EvtoX695jTW6nzcCEs3fxXbEvV58mWNisnTFnLDug3U+mfcL8/jNMTBBtNda1n0Sc6ER01DcQ8zjtc9r85jNMRG/W8fSup/iNXFs4sv6+Wi99sRrjVjlF7un/78O8gllmFsNGV5vbrfbaAJFQAGKRm97Bxt2bGVoqN0AjvyOV9kPLp/rx3pAF3k1hOwK0xkVYKGPWiBMqD2GJLnxOnw4fD5OLcwxnalQqpaJNIfYdVc7sVCUu99wF51tzfjdkgFQFdFZrlc5t5LCFfEY/lyp+Ty9o910dbQy0NRmhGu8fOI0P/eW99LaMoDT6yHc3kRLrAtX1I+rnMYb9BFsbqaUraJ7nVRrdWYzBbS8iu6Bb+37EY4KbOnuoOhSBPaCpMvooumplg0T84qiEop4GHJEiYa95EplHB7wqy6Ckodsucx8PE9foJXtHV184SvfYaWQouzQGHA1cUfHqAH4yTWZsqwwkynQ7PEYLK+FSoFI0ENrd5Cz8SK/fe+7uXbHWvYf2Us+niQiGFjlLFOlReSAA1fIxZv27MYX8OBVyjh1L929owawcN3IIEGfj6NTi2QzZa7ftpvHzpwjkc0z5I7ywpk51l17GQ+9uJ/5/BIdzhD/+uWHmCnlGekbYKS1ncXleZZVhcvXb+CqHdvZuGsjQ5uHaMOLUimzaaidjV2thrR0NNKB6tD5wuOP8u+P/IjZeobziThXXTbCky88xNMvfI/k/AzpTJZcTWHvuf3MlpbYs3EN1+7YbcjH7rphO1dv3ENivsqO9k00O1q594Yb+eevfoO7t93E2NlpNgdHKejLrIuOctn6jcTjUyRnZ8hX83iERLeUYjDWTYs/hs8hc8911xg+d1t7Rg1j+qMLJxEzWRdAUFykGEsGyw7S9LeGmKjnGEssoXtFgIBICw7R0hvmfW94IwemJ0jFizx37Axu2UVTZwQNBaWusZKvkq7n+fS/fok1vZtYmljGozkp6zUm5ybpbGvFKUN7ZxeD3hbkRJmxYoL44oTBlnxu30vMHT9JqCNIvVCnNlejLuR2JVjIZYhni6xZO4Q/7cLvdlPzFVHyZUqVOvfefAv9La189i8+Y1y789MTfO7B+3nrB9+P5HMiuxwEAy4jCdaQL+oO9KKIb3aiLiuG15+jJpOrCDWoTjlfw++V8Hu89Pf1MpmbJ5NI4u/qJr4SN0DlskMACQ56O6P4fG5u2r2HTWv76LxiN+VqnWI5h6bXOHj6JJWySizYzEI6zaHzU3QMNSHrOodOHWVouIfx5WU++NFb2b15mI5wmKVcGqWqc9XGHWSyCvOZhNCF88KLL1NIz6NUyxRzRQNsquVrOD0y7ZFWQ9r6a7/wS6zv68bn9hDwu4xzUtIUcvUs81Uh0S8aLK3Bje2E+8T10s7SCwucPjWLqqice3nSkPm3x8IM9bUgi9APvyRuadSkmiHhHYq1GtJcwYSs6HVanV7knE6kJCGndQM03dDRic8v4a8HWD6XFNQ5A8ynDvF0iuhohDVv2cRzh/YScDn4nX/+F/7xl34Jb6eXdT1DhsxSeBxqbokdo0P4PBKOH5NQBVvaEZaoOHWW02mqM2VD3ixYUv/6qx/n8w88iN9boTvSSSYTp6nJB7pOs9TCYFc37ogIC6kwMTPJsfkLVMM6G/t7WNPZQ3OslaAkQFTZOGeqrBjMPCFjfecdtxtMQuEV+Mef/Q9DIi3maN0J3a1dvGnHRn737bdzU/86akWJQxdmuWPnWgOglAIyXiVMZyRGUcvjC4QN6Womn0TJq3QEWoyQDknTWZpPEa9ljQASre4is1CgdaiNc+dmCbR70MsKK5kiSq2AU4GdG/s5MnWEWk7m8rVrWKoWGNRDjMZauWpoCKWuGH6MInE7USlRrNcIhX0GUF+uOrltZC3UjUhb0sUS8WSBR188hKrrhIJuspkCna1RQ0b93X3HGd7QTtdgyGAF3v72e6lqOtlMien5GZSgwnOnp2lxegk4VdILBRKJNHVNYiWZIq9WKBYUCksFY/tiniqLCnpOMUJXxBw8tTRDZ2/ECGSaTyVQZSdlv0Z2vmCAYan8j4HgOsaDBBGoISS/sfZ2hvu76O8UITga3boP1eFBE88wJJ033nUrGwa34XF5qNdqRFwRlpeS1GsqtWqdurNOR3szdblGvSJM/xys9zdRydRYnFk2pNmz8/MG2zRdzZElRVAWcucYsg/eumUTN24Z5R07t7OtqQu35KbPFaDZH6BNJA7LMNg1yMFXTuMNetmyuYMdfX1GwFZBqeN2GtE0r9fr9Xr9N5WdPSB+t/r/iWZfNFjWpswEokzmlXhNNHPWxsYEHkwgxPybCe6Z6xZlGr6bAJ/4/Se+XE9809i++LqUL6HYdyF5Mo/JbLKtLCaTSWLun7UhN8EUc3mxrLXRtIKUYn9/wtIyWRs/9gCzNnONfja3awV5zO2a6xPrEiCIWNYEOq2vryYvFMCICSxa121frhGTx75vosSYmOMhQAST9dUIDDD27dd+/SfzwmyO7aCDdXk7e89snM1xtgIlVgm1+bN5nKJhN8+BkOm+FtaPFeCwH8trke+a14G5b3aGmH3+2V+zfm+0bvN1cQ2Zy1n39Sfy+V/79f/tfFh/F9s2QSIT8DLnr5DqinULsMwK5q12/Pa/i/km9kNcdyaIY4KF4jr8i9++YlVgzvTBM0E3sc/m+u3gorXEfcP6cMKcQ4KRKtYlQEuxHrGMFcA3t2He48SyZnK5ufxqx2kHeM1lTZmu+WW9Nu0AbiOJrRgz67VsBX7Ma816jOb5t4KA5vJfrb/jvwBLJjBmAud2IM/cJ+u27eC9lbFmXsvmuqxz0rzv2d/b6BqzXvONgFTr9qzjdLH69o/3y3ps1nE1z435uri/WMfU/n5zHdZ9t+6POY7m8ubDI/Hdep+2lv3+8FruMf+vynV/489+japSpCqslzSNzrYuEvkkN+64kZn4WQ6PTaKrdVwuJ9es3cBz+88QbvMT8Ifo7ejG7QugCK+sUgbNJRgHCovZKo6SQmuLl4nkvNGcaIaEUGVLfx/Voky+UKO9zYVLD+ML6jyx7zAbRgYIOAIGqHZ6cQKfFDZSGIfbIgazpCnURHdnG8sLaTZvGkSv1ZienmdycYGhgX6D7XJ06iSaJFMqlgj4g+SyKSqVKt3eAKrPQUFTyWfKhqF/pzNEvqYxU18xfJZK+TIeycX1w0M8e2GSrv4g8aUKNU0xmFGKSJZUXvU/CjR52Tw6zN59Jw32lvBOUt2gVDWc6NyzdStVXUEPh3n20CF2xdo5tLzE+vZOLhRWWNPcRqyzhacPnObuyzbS3NzMZ598jlu3X8WPjr5MwOM0mJRiXYIhOBr1k1f9FKngDwSIuTxEZAetfi+Pnp8gny0CVSKSh5ID+v1RziSX2dMnUh9lrt+8i2PJFc7PTXDF5u0cH59lKjGOC51ffPd72fvEC/zKX/0rn/y9jxGvS5yaneLD99zLxIkX2Hv8HDvXjxAWoRw+4QWocSAeZz69YjBMhmLtXFhZpi8WQcLH2958HcvxGk2hCH9//xeJVaLEtQTNQT9f+7cHjXn3tnveSDgaJlFPcOf23awfHuKhJ/bij4Xw6262XXYjj770ZTYObuP8qTGDyVN36Ab7RFUzRHwhajjwelxMTy6hOSXqkipOBZJIMHEIcEYzTPcFM0l4VDkdupG6K9JQf/5d72f8QpIHnvwuobCHag2a8XLV5Xs4FT/NP//5Vzn78qNMTiU5e/YYD588zMfvex//+tmvMtjXweU9G/jwb/0BX//Cv/D83gMsleMGq2zd6CiJRMLw2Vs3spViMcfi1CTeFuGFFmRsboJypURFK5IrVXj3rffwrSceQKo7GOobZKmQoJwt0tMWIaTD9bdez/cf/xEDA6MM97aSiKc5NXmOUNXLmcIyIbcbj1dmej6Fu8uDEn9VgigYe5tG+mgJNvHi0VMQlZELNdxBLyOtw0wnzuHVvfT0dhkApyy78Qf8+PxhkstJVKfQHpZIVgo4ZCedsVZqNRmvT8Lr8VMpF0SiiQHubVy/Hb1S49j0CaLBIJMXZli3aT3FXIJoaxdz5+aINnlZTudo9TeTKMT57tcf4Rtf/Ge++djjyG6JarHCusFNpAtLZLJZdm/fwelz4yxm4oannFN20BYI8qXPfI97f+5uvvK57/HXf/QrpKoK07MzZLQCbeEm8sUyl68fYno5xcbdGxg7OGmE4CkP2SEAAQAASURBVLa2RDh+/gy3bb+eWrnAJz76TmjeyO1vv4WaWkfKaMb9QYQQhBwiYkHG5/Fw9eZRvvvyfqpJBU/MZ6RM6w4FLS90kzpOAVDVVENGGW7xklUq1EsaMb8PSZYNYCMc8Br3wK7WLl46cJhO4auXLqCoOl4kmvxBfIEmvHKN6aUEdQlCPh9VpYxWdxqSSSHP1F0wEO7g/8Pef4BZctV33vjn3ro5p85perp7pntylkZhNIpICIFEEjkZmwWMvU67xti7tndt4zVewMsag8EEE7xkAUIoZ2lGk3Ps7ukcb863blW9zzlD8RR3b4+EH/y+/93//J7pp7vvrVt16pxT1XO+9Q0T2TkCLSFyCxkJ5noiXqK6SMldpieWIB+sU6nWZKiJAH5SqTwxfxudbR7W9q7mkUMv0d7WwejMJfZu2sLxsXNkRIq3zcb2ni7GCymWFkvYnTqKrkhw2O6zybRdV14Dt8INA6vwewI8dP4014+sp57Ns298nHJJpSMWJl+pcN2GddLf8OCFcSJxD/3tvRwdO49fd0HUTmo+JwE+w6axZ9VusqU5ThRnGXK30NbWw7MHXuCtr7mLsclpFhZm2TyynYXJCYp6iZHWVg7PTXHXpg08d+Qi9ZpBlhK5ukp+uUg47CcYFR6sGusSLcxmRTBEgp+On6eYL+OIe7CXNN64aSMz+YKUkF9amCfQ6qdcrKGWVFxeF1u6Bzk2epGO7ihT08vSd84lUtgNG/VMlS39qzk6Nc7mwU0kF+b5b//+XXz3sYdZzufZNz2DUrocnmKIlGIDdBGyJPJvHOI+ZCefEw8gDCIB8beoJOXaroRbBsZEXW4WMmXqioYiQjXcCvFohMxMkpGhQRYyy2TSeda2J1g7sp7xs2c4nUzistnJaVX0so7b6eLVt+3guUNnsDt06R0p4uBH+vuZXpollymTCPqo1A1h14nX46c/4idVrzGZyVLOlxGEyc5EJ6GQm3Ozk2ilOq/fup5w0Iumw9HZKeJeP6lcCZfTzvl0kj07r+Nscoo379zNX/z9V9k00I6qGeSrNQZaW/nTv/rHX8V/X67W1bpav4IyF7NW+WDjwt3cxvQXauZr1AgmWqV64j3zdxPws/78SoNBGvffzIfuSnJM64JZMukaEjcbvZusErTGzzdjV5nVKFszj9Xod/bLlJU59q+RQJpj18zLzvSCE4CQSFi1MtKaSQcb5bKN/d4oP15J2mj9rPnzK+kHKxuq0bi/UQZsZThdSVr3y1SjXM9si9XbbqVxM18zq3G+NZ6jqCvJ0hs9FZu11Zx/jeNmDZswz+FK3mzNpLlW4KxRJmyWmPemr561XsmxzO1MibjV07GZl6Z1Llh9HK1zuVEaupJnnLVfrPN/pbFsPCeTsbqSD2UjU+5K9xRRK81b8Rmrb6DZF+a2V5orjdJaa3+vxEC80n32St57zfrA+rpZb17BV9A6To3n0FiN0nfreTXb1mx74/bW82n05mv04rPaEzTrn1carvUrA/n+/G8+SsDvZalYIuxyc2l6TkqfAgEXWwfXs//0SWkEX8dg82A/DgHy5OsEgwEioSiLS0syGGFyaZGA34NbJNoKwyybwqq+HskIcDucuBwGQsSYzKT50Ntfz2e/9n28djevuvUGvvCtb2HoNslyG+jtIJ8ts6qtk/0XTrKjfwh/0M90elH6uc3nsvz33/0on/jcJ6WUSDAAT85M4/B4SDjdHF0Ywy6oeYpd+uB53C4KJZHya0jWQtjrYTjRwfj8nEyQTOaL0sfJZVOouXXJbsktlWmJCyP6Gu3xCBW9JtZhGEZdpilWqwYtipu0VqOqVrEJ83eZsWFHTQs/L4XXbBrB7bVz7U2bOXh4iuWxaQ5NzrCxv4NLhSzrWlroGhziaw8/TGdbhLfs3MpT56Zw211cmp7H5vXh0BUWc0kMuy6lx5VshXpFJRIP4nD40VTR/jzbB9ZyeOwUpVKV67q6ODgzR18wwrnskvTtUsIOHvrsQ/yH3/8wY0tjVD3Ixe9qf4iA4eLDb3stjz95gJ/OXOS21gEqqjgvnflMno19HUylcvS2RiX7xC1AjViUR47vk+EJS4W89Gt0CWmqkDkaqogy4JrBjew/fZx7rtvLM8df5IOvv5fPfv3b3H3fvfh9fu7aexs/+e43+ey3v8/Wgc3Mzi6gJOqMRPtJVWz8zh/s5Uufe5Ib9t7Of/7zv0CL2xgI9xH1uzhx6iK94SiB1U5Onl2WzNJiuSoZM7qQI4qxcAvwQIeqIQEvQ9Ok7E1x22Ry65qWVrxqhFo1y6nZWXx2J3a3QSjsp1hT8eAgGunE43Owb98hPvG7v8bvfuYLkmGztWWQyeQs4plib0cX3QMDPHTkCWl0f/umG1hcvsSxi9P4XA4cNicut4flYkqyRROxIOu7Ozk+PkrMH5XjfPbSqExFjgZDeJ0KS9k8XmzsGNnAq/bs5c+/9o+UckVWtwpmnJc/+rW38ttf/Cw+3AQcBnkhwZ3PonsN9LzMIpFSbq0sgmKQ3pbukINKvoZNt7Nr0yYOnTuBZghfMAW9UpcMV71soLgVGVgiWFxGTmfv1h28OHkcPWOjXKmweeswJ4+eJhz2SYaXALVLuTK3bd0lPTYfP3AEVSsTD4aJBYL4cTJfScnkXAHYtYS7SZYW2Do8wJEz56mpBhF/AJe4r2g6pVqFzEJWepUJZuDuawfYf2gMd03nph3bSPR1o4igBc0gXSuSWlpG1Q2Wzl8gsKqVas2gUC7R2ppgfmmeoC3ChflLuCN22pzdfOzf3c3HPvV1YvEE5WqJizNTUmrd4gmxWMvy+vv28tgT+yWwP5gY4MKli7zpzldz5OwxRpcW0SsGri4/zskCFRFyUBd95hD5OnhjHmbmUhL48wdduO02akURgqBJqfzuHet46vBR6RspPOQqxSrhgBeHy4lRdhDwtnBx+TwOw4buht09q3lh/hz1lCFBJZvfjpbX5P1m765tkhnpxs1sdhZDJHYLEDDSTj6bZbmaBVWTScRZrUo46sZdVli3oYennzuNzauwtq2HWGuUsblJqjaDLW2rKZaTTC3mmUkl2drbjc1mcGRimrpqEA378IZ80lsunypw5/Z1OO0KS3mRBu5koVBBo86uTds4PXqMmXyalkiCNk+A41MTvO6GO3n00FO0BgMcPDEmvdsqusaj332St73jXjoSQZJZlUwlS9wVYqIyj5qq0dMbxVAc+F0Bye7c0z/Idy4cR7ErtBhu2j1BVL3OseKySN+gNl2VjEJHXpVeiBs7uuR1kKuWef7SJTmGSosHT0mk1gqvxXb0dA5/3eCUUkFNVmVgz8BwN/WQj6XpaTrDfiKBCEcmLtES9Uu27tRMRqaQl2tVqtR5/TXb+eG+Y3jcdhLuDoqVBVKFKrWaAN4Vrl3TTbmmcaqYRFuuYnPaBU6O4ZAKZDRVXK82FCf0BhPMaTm0mo6rJnKINHlPKtfqOFx26lVVPsiI+cNUjRKhaJjUXEYm64q/t9ls5fJDJl3ng7dcw/cPnaLg1iksliUDta+jlXtH1vLXP37istVDyCsTq/2xCN0eB2fmliSguZDMC0opI/0tUvWfTBdYzOV57/U70aXPqZMvPvMSalXlfbdczzeefYFwPIhhczLSH+fW7bfxnYd/jFFXcTudTGTSDCVa+Ou/Fd6oV+tqXa3/r0sAZdaU2yt5Boltm1UzgM7K2Pu3LBPoa1y8N/PHE2Wea6Ns8pUCP43+g+YxXuki3WQvCpDNurBsJrc0U07N7czUVNOz7l+ziL6Sd2EzEOnlwDjRZ9b+bAROmh3D2k/N2iwZOb/3+1Kea13YN/Zzs7CBlc69sT3NtrN6DDYu7q0BD80AMWsibWN/rgQuNfMAu1LfNQNPTdDYWtbjvlJfx2bj3AjAXWleNb5uDf5oBhi9HOi5ElDUOBdeDrwxQcGXm4vWfmkGPDYb85WqmV9bM2De2s9W70cTsLP6C14pUbkR3LQ+ULGel3kejYCluY9mwNbLBVI0vi/YtisBuS8H/jUe+5XUK7nem3kLrsS2awbYNvaN9QGOKGs4jqiVrjfx2Vf69/BXJtfdNDRIJqNTWC4wNj5PX08PoaBPGpCnUik8iod40I/f6aBmMzh1Zoy55ALHz46SnJvmxMVzHD1zklIuJRfLC6k02UKecjGLy65L0ELT61ycXWIumaKsqnzlG49y+023cMeN1/PZL36TN92yl9UtrYS8fspqnWK5hmbT8SlOjk5c4PT4RdqiIXrb2nHW6uw/9RyGy8X2LVsZLSYlM0GEL7R2ddMeCDHU30utpqMLJothJ9ES47VbdtEejRPxe3jh9Hn2jAzSH2yjXjTQSrpkxOhljYS7VQKUi8mC9JZSnMJb7bIMShcMKUPDYdNIK2V0v4HTLxIVnehF7TJIogjox47TpnNhOsVIeycPHNhPYGAVtrADT0+CZLFErarjtRkoLheKbufEmTkZVjKXzOAORCV7Mm+UaI3G8PkTlKp1tJqBI+ynotlQk0Xq9TJ2W43jc+elH50TO5O5Ap/94w8zWS6j123Ew0EpETt/6PvMldJs7B3AiSJlkpOlEh//9Df4tf/xBfKBLiKqm2fHxzi6MM+xZeGNVebgzBSTxQw/HbvAo+Pn2Dc1y9Mn93H7yBYcukGnEpC+UILhOD66LH2ilsYz7N93ECVgwx2sS5nv6KVFXn3LzUycuMhD33+Ue975FvaPneSaDZv487/5cxZdSxQXqowvJVlIz/BXn/4eY8k59h19hmibn5DdxfzSDJlCgVftGmBayWFU49KHyl4y0A0dj8sppc3usJNAyIU/4JI+cqJvRBgKAozVFLoGNzGfLHM4fZbV64Yp6hVuu/0W6hVDzv3e1gFacFOanyTaEiKR8PGxL3yVt952Ez6fm9a+Hvra+4h3tBEdSvDE/qewlQ3qWZXuzghtq4Rk10bI6yVZyNLbE8Wuwo0bdlAp6cylq7jtbla39bA8s8hQSycbEt1yDopE1k1rRrhuyyac1LiQPoevZsi05VCshQUtzfs//WmMjIqrx0c6X2cxm0cTNKE8dHckJGgtmFfS762qYQsYVAs1KTtVXDYWFxalv5cARAV6LUBgyjYJNLhUF/WUSGh1SOP+WluQ6rJGRatJqd7M1DzdLV0UjbpAitnRuVoyUgXIIa57EUiiqpAulIh4dUbW9uDy+wh77OLgRLoC3Hfzq7AFYwRsLuIBH3VNJIAGWNfVQ7ZaorW3jRtvuJVAyMuL+y7iQGFNXw/PXzzLkWPn+fKPv8tXH/4+yeQiIip205rVLAUMsqW6ODpRj5vpsTmChofBgJvhnm7u3bELd8zBqh1v5GO//UECUTeKU8XjddLW3sb6TYO0eeJMTS5giITidBWP3YsjYeer3/wek1ML2GsGLb0ByJXJxzRqjjrloEElWqcgfDhzJXkN2nUb5UyNxcUyv3H/2/jt97yLuD2I3xlgIB6kKxwk7PJIdGd7/w7ctRA1v40tQzGCPhfDfR1SWnlwfJxwPcRbXvVq3nDTnfgrDjpbw3QkIqSzddb1DRDyGRLo8XqgL9qKx29juZLB7/PgCbi464bNMlm3XtBZLBU5OzqL7hSedWEKmkp7S7uUgJfzKk8dOcq+85eo2FV8TieaprNQKBJp9eN0KXRFE3jwU8lqMm22pKmcSS4ST8SJBl2oegWX4eD5IwclYzO9WMRtD1Mqqei6nX955sfUqjAzk5GefG2BAAmfl3vf/SpqlDgxOc1MdYE/e/ddbN/YRtDmxONzSyD4DbfcS8gTpJzX2D82Ixm7HdEoRVXEytqwKw5WucOos2Xw6NIvsXOwVYJdAhB+6fwUbT6/DK8IGW6cJeGoWqdYUrk0MceiXqUovEntdnS7ji/hlwnwqeVZwpEQC8USU7llWttaSGYrLC4UsGk2lpcK1Gw6DtXFd58+TLc3QqWoMTF+ib6uVdy++ybcLmFvYWP/hSlO5RZxGpf9XXURyCQCNcS1KNLAncI7VPxVVsjUSvR5EtQqNWoiWT3souqoS+DN4VFY09sq95ksZijkasxOLhGKuMnmytx1zTD33LCJRCLIrrX9GF6fBL+v7erC4bSzujPK9FySv/nxE/LBSL/wzssWKSgqIY9DhnHMLmSYX8ohLnMUnXvvfROtPi971q/GH3PJwKLlYpHFfIbh6OV7TjKf4y03XiuZ8p2xBJkkjM9OsaO7i2v6+tjc3kUhU+Hs7OKv6r8vV+tqXa1fQQkZngDqXqkpuCnHtcpyG0ssZv6tAT6zLWa7TSmfWVavLHPhZQ0EaVzkNwP4fu639rMvU0JqfkYcw5Tcmb575mKvmceVAPcESGNd+Joy1MYSi3wBLpnnJH5v9Fc0q5kUrbFMjztru6zgRyMgagUhzP1aJcKmT1UzNuWVfrdKHc19m+DJz/vlbz/RVGIrXhPnsZLc0PSweyXV6C8nzkV8XuxLgC6N8sNGaaa1r82ABmtZx9XquWeepykpNyWDYqwbQQgrEChea2RgClmu2TfmNtb+/QXvSIs83iwxpxrbLUqcm5jXV/KJawb6mCXYoOJLSst/7/d/4dytfdg4F81zaJwP1p8bpZLNQDfzNRP4soJc1uvelKRaZf1mmX6kZj9a7ycr+ZE264/Gbc1zsY6ZeHDQeB7iddPT0Fp/n/30L8x/0TYre1E8BLC2wZT0irGwSoFXOm9z3+b5m7LVRkmuVdIr2i5+NlNwG4GzK/VX47EnLHO2cb419lEjML7SPDNfM8/Zuu+Xa5tVBm71DbS2TdxLGsfdtKAwP/PLMK9/ZSDfS4cOk1qco5IrSg+ufC5NqpgjP1dn65ZN+ANu+tta5MK5vJChXqkyOTGH1+vg0uI0lVKJkioW9G7mlmapqVlsag63U+PS6Kj0hDKMKh2xEJFYArvbi+GsM3tpnK8/9BO6uzt46fQZCsUybbEQWrmCX6kzPjEqn/y7HA5y1RxnT19icn4ej8fFT549wOJimu/vf4zlTJ6+RBvVaoWDZ48wMZlDzZfx+oVhv0F/aytrEl0sFFW64l1cms6xa+sGjs8vcXhmEndCxG/aJBAlAKCJ5Tk6ekO09HXgMJws2cu4dFBrOuWcir/kwqM65Xs7B4bRa3bchgtFeFhVNQxNyHlVKU3qCHk5PZnlA/fdx/FTJ6X31slzF/mt976DmlInEIoT8SYo1d0cqZRo7+tmuL2T9S1xBhItBPwhWsMtbB3qY137KtxOP35NeMvZKNs1yUIUi7dSskgxVeQ1uzdjq9n54H//PH2reuQCTrRHLBw//JefoaczznxWQ9XqhIIe1kZbuOOdt+Gu2jl9Zp+UeFV1naVySUqTh3oHWdPXzY7BEbpaImzdsFp6n02nC9Lzr7url+VSnv/45jdRNnSCPR5u272L9Zs7eNMbbuPv/vg/cNc1m3jj3lt5+PgBymoaV6yML1Fn/Zp24p5WziyM8YZ3vYmA7iZjKzC9NMGO9YNMZqbpioR5/Mn90k+viErFbZAspbnhte/ig/e+HpfuRrXp1GwaLrtYSAsGnx2XapMJqCIowBtyExMJlkJXrOp0dAQwLk6xrm8Yu2awMLMg5+Zjzz1O0a5y6MIEq3q76N20npQLpi9cxK7Y6GqLk5yYY3Wsk8zSHBPZSTq8AZ5/+EXaQnGG2juJRHw8+PDT7H/6FGWtSqmgctOm7cRirQz2Cj+xs9xxy3YWUkt4w0GePXeMgeEOUtUcF6uL0m+wJECqsI+HDh/k6PgMjz97kpDXQywUpF7MUStd9g8TLNKJg9Nka6r0kNRFBozPweJyWoYfCPDAEIxWYUNYsUmPtWA4IIKd2dzZKlmuIhBCSLkdml32hd/nu8xM1aG2qFJN1nj2sScvBxyoBnpBZ6A3SkWvsHlgHa2RVp47cwqlUKc76GFhcQm338b6gV78gSCpsp2jx86jZxXmlsv0hBOMXTxPvaZJ6WSyWmZmMUUw6KB1eBfPHj/K7lVb2DAyyELHTtZ293Lt1rXUdY3ZTJbBtjaMsMrAql5ikRDHz59jav4SRy+OU9FUCciPTs7i8TllkMbU0gIkgvz6e97B4dFJ1EqJkwcf55Nf/S4tTi+lZRE2IjwMdY4dv0hByXPo1HkJ7rsjfqpqmmrakOmvwruzXK/wjl03SqarljFwKEEZ3mHIEAgbmkigFpLySh1VdHQQ/vbb/8TCXJo7X72X3tY2Rmfyl9lqGRVDM/jp4WeIRA2yU0v0r11LNODlzNQ0bs3Ohv7VxOIRnj78EmNTR/C3eiSg+/UvfZJscZbZqQw+Z4C430trLM7E/AxBfxiHoVAu1yiWNL57/DA21aCk1VjX3Y2zaJcPbjxuNzt2bcBlt7G6a4BiqSAQXtb3dJPM5C+nVTttOGo+7Ek3m/tH8LdEmVwWAFsVRdzvS2VCYR/Pj5/h+OIsO/o6WdcWoU1x4KxX8Sb8HLtwnNNLMzJkpiIe3tRKZLSSBOX1qg2jJqTlGr0dG3jke0/KBxAPvJDm6ReX5N+emxI9+Ijyg6d+jFqDrtYuslqFuOEil8zIuVHVDOm/t6TXJIN147ohPvyut5K8tEw46ufZQ+fY2tslU3QFgzKnVqRf664NQwx29bK6owOPM8AlRw2vYUOJOKk5a9KDUgD/C1PLlDIV8qkKhWoew9Dp7oxh9zjp7OukJ9RGPOZGr9UZW1iSCbaJriAXx2Z5/MRzROwR7ts5givo5r71e0kYUd625xZcQQ/ukBu7wyGZ7IIPLu5f4bCHTL7ExewCA62dcl4Jlr0du2SJ1gp1zs+k5PyxC0Dfq0hWoPDVFZ6nazbcxnefP4zd4+VieoEnjp3EcDkkm9mu6ZJpHgz60MT/IuwwNSvYrDbScwVGR5ekNcfutX1y/4LJ6fa6OXrwHEo4Ku8DtZKQp6skPG5sqsLp1KJkSh6enpYszffeuJNdLRFuGuiiVCqjIK4PRdIV13W0y4cZV+tqXa3/36hfRiZ7JVDv/4syfbtM1qBgfpkL02aLRgHgCODFygIyvcxWWog2+j6Zr5kLcLHQMxNOxXcrsGIN1jDLCu6ZYIbVj8268DcX/1bjevPzzcA86yK8EfATP5uectbXzP02W4A2M+m3bm9dVDd7z2zvSiCC6cVoXRxb37OCi838vqyvmT9bQdzGajT2b7atCVquxEZqBKLMtopFfiNgZpXsSQnvz0A2c2ytvmRim0YPQvM9UwJo3b7RB7JZHzbWF7j3F/pKtFVsKwDKRnmw2Ea8bvaD1bvMPMcrsa1MMNsqlbV6vJnfmzHxGueVdZ42u56ana91rK3zyDyXxjJBKrPEAwphWdCMzWiWCfY1ziuzvVbpp/Xcrd6Jjecqjis+b3oOinuatZrNTSsoL74EOCv20fiQxco0tQLs1nY3HsdsuwmeN4K9jV5+osTfCNEm8fBFXBcm288KljULcGm8Hhqr0UuwWZntsM6TlQI9GgFPUY3HNR/gNN6nrJ8XD4fElzinxocM5nsvx/78NwP5+jtb5MJlaKgNo16mVChRKOUoV9MsjZ1lZn6S504fY2JhmvlMitZghOGuNsbPj7NhYC21SolSpkg6X8XvVKhXKtRqQqYm5DnQGm2hVKrgdzoJOT24BHFBh0ypgGao7Nzew8TMgpQJZpbyLGXTaN4AvkiAgNeB3+GkM9qGw+thcXmRXZu30NXWKqWzaxKr8Kh2FssZ3nPXbdyyYS3bhluZrqXZ0rcap9vO2PS0xHeypSwzC3N09bYS9keYWS4IZyT0rC5ZWGKR5cQBDgcfedf7hIsge7buoFsJo5cMPAG/lHoWVIPuwU7q5TpjF2dxZ+H6jQOsHerG3xJg3VA3PYkODiWXmXao/Mf/9k985gvfIV2vgN+NPxjmf/zLv3B8JsPY/AxOp0h2DeBW3Vw8O8G5Yp5ji5MU00tEtDoFo0A86OXi/BSRuAuX4iKbXiJfylArCa9EF2+85Xa2rFvPA88fQg84GWpvoS8Rpj/WQkYyuOz0tbRL6WC+NEM1VSczV+TSxSUGQz10xdvYsW6ETEX4umusagtx2w3XcfTcSZ48fY7vv/QC52ZnOHF6iuVCCSVp8OOXDrF36xBf/Ys/JZVz4xGAW9mQMs7lhSprurv4nb/8G778w4OMz46yMJfhh08d5J49tzM5k+Tjv/VfUJwan/tPXyaS8JLSy1KuWkZn/cZhIrUwuu4gGnLjcTi4vnUDO/s3cNc11/P8Ez/lcz/6AUfmT+CsOVCE4X/QQV0QYTSDmv9yEqhYNndFOi8zZmo2oeDGZbhpCdg5e+40b7/mVew/fYKd63dS0Gx4ai4pMT1zZB/PvHQYZ12w7vKkqUmG1f7pedLVNBcdyxSVOse0KZwhN3vvvY2qggRIE+E4ve0+hkIJNIfOU8eP8sKBI5xeGKdSLfH86RN4Am7qhoNaDcLeBNvWbZNzLeoKy1CFTCVNJBym7KixbXUHe7ZuZPXOrUykc3jqOtWShr0KIcHuKZRIRH30Cjmd8IbTdFweB0ZKQxFMRrdNJol6nHaUgLjiDX547JjsJyEPLNVqlFM1yZorFEp4Ek5pxO+Wi3JBFhI+mzY8wlfObaewlMfpdrA8s4zH0OmPd9Da2s5CchHNVsdtt7OcXESnKINjCLloDftwhYPEWoKsiq3nR489x/MvHSMaEJ5pBmkRtvHod2hvb2PfuaMcefEgXZee5MzFCexGgKoqQjecElj+1H/6PLaQRm+0jf6RfhnMM5eckYDm/NQcfp+bl86MUiwXJdD6wtlTfPKzn2dt32rcOPjOj79NNZmiu7cfjzfAYEcnXW0Jau4qHn+ED7329WxtWYNqaGy+fi/vvO92bA4ndsXOqrYWnj1y4XJ6a0+Aof5utm4c5vot2/j3b3sntVIdw2ngjzik/Fr4sb37+ps5P36chdl5Am0BWlpDkpXZEg0w3NPO1qFhTowuyj4sV+zMTGfZ2r2e1nCMa9f3MZ+c47r1W+jtWMO2VTt48+2v5S/+6xdY172aoE/YDDjp6e0hEWrhrl3XoZbrrBvq5223v5q33HYbr924l99+59u5+dprCIdaydmrvPeN9/Om13yAfc/sZ2k5xzce+QmK3YbN7SSbq6FXdZEGgt/t4ktf/waR9hhr+jrYMTTCpjU99CYS3Ln+Ot649x504dcYjPL2e18nb+zv/+if0NuRYClTwJmHnQMbcQt5acGgvTXCu1/zesr5qsR5hMTW8DroDvXxvne+hY//xe/wmp23kcpeYM3aBFt6tzN4007uvuMWNgyMUK2WZBhNT3craaXGYrlMqlZkplQgqevs2Lgexemgz9nOo48dpLU3wWwyQ1iEjAQ8DHS0EDU8uFwOWjxO8vMllpcWpZT+ve//DZSK8L1zyGToOzZcTygaoL+njU1DXdx340048OBO2Xnn3ncxvZihqzOIR6uT6F5NTdO5sa8Du8tGbrkiQceaUsNZV9i1fT0XF5eJ+T2cnj7J3/zXP+WfH38UxW6XIJoj4sTX6pFMPtH3mVxF+ojashp1tSzTxQuLdhSHnYGuHrw+J7FO32X2ubDSKNfR6waBmF9eT5/6l/+JXtFZmFgAr8JELkss6kYVoR2JELqQg6NLEFd6dw6twi59SzXqiirTimtaHYfXgSZywu2XrTSe3ndE+heKe8e/PHeU706c46n5S1zb18XrNq6R86WqajKpXqSLexQno0IOLyxS7TrpUpXRpSVavf5f1X9frtbVulr/f1pmqIC5yDcXdQIosS7YraCaAHDEwtUETkxAzgTSzBLvm8CfdYFoXQwK1qDJNrMuFs1jye8/e98KUFjTeQUguRLzzjw36+LYbJsVYLKCedZ9CTDTuig15cjmz2YfNPtsM/mx2X6xkG0G/lnbbG2n2VYT2PgFZtkdb2m6ALYyL5vJn61AbrN2NAM4RVnZTs1YSa+0GkNPRJmhNALotQIMZlvFZ0yQrXGumaBQM8DV3FbMazGm4phmcqkJ7jULDWhWJuBmtt38XRxDzOfGEINmPzcyOlcCL6yvi+vAZGFZv8xxFddEI2jcyFRrZPE1O5Z13+a8Mt8zmYErhdk0lnhwIMJDzOu18XpsxmQ2ry+rpNdkmVr7wwR/rW0xGXviuI3XiLWsc0cAUOKrcRsxruK4Yl9WFp+1zPlmZSia52nel6z9Z0qeraxZk6na6FsoHryYx29kR4tjWgHDZj58np+Bz+I9M034Sg83Ghl51utBvLeSBcPLXfNW0NHch3kPaQxVWqlMJt9KwOW/Ocg3my9LqVNnPMFiJkNdreIQLB/d4Jnx8xg6tAeitMRb6eiIM5Yf59jcKDWtyL4zR9k4vJqNgz1s3zgC9TI3bNjE2lW9uPxOmWw6vTSGz+MmWy0zMTOOU7HR3xVhfPISbkXhJ48dJxEIka3kSeWXuefGPaiZDKlkjlKlgremsbi8TF2tSbltcnGe86fPsWf7Ngkk6FpdGrFPzE9x4PwM123bSbuzhbxWZri1kze94fVcTM0yMTbP0lIau+Hi0OQ5KSF2+z0EQz4ZRnDfTVvo6o4TCvr5u3/6KqvsAUL2KouZFGu72hgMhdi1Zg198RijY7OyTzpCcdxhH+fnCwgML6R4yKuQtxVkiMlrdt7K+958N6+5/SY29q7hy3/7P7hj2xZ2DKzhjXfewVQyQ39LB5GEXya8ah6dULXO1lgbhYrBdD6DvVLniWOH2b5pOzOz88xkFigna2xfv4rfeMe91GpFnjp6gHMXxgkG2/A4BaOyyAuHDlMoVenyR6RHmycQoK89Tlat094WpK87gqvNRbtbkQysn75wCJtSpbu9l7rmoFpJybTNQr4k0yr1ulN6jLV5YgwM9tAeC/Hpb/2Ij3/2H/m7H32R267Zji/kZt/zh6V0+g/+9ovUi1WeObmPg0dG6QsEUV11fuu/f5KhaCuv+9AHyBRKfOITvyu9/z546530dLeg1+3S8+u1r7qeHZu34HG4GB7ewi233YhaqfKV7z7MI/sOoxRtGFVdshKruSq2ighCsEnps60KOARMC6XUsmRZClmvM+Shv62dc9kCCk7mBHgUdPKjp5+EapmCrcQ9N+zkbCqD4lKlVHHNprVsHtlAXfNx/bbtKMIw3+3gprWDuHKg5nT2/Wg/v/H2txFwBTgzfZEz00XCbWFcqptej59AwEvE5hI8HKbG5knlihSrGcmiOzp6jlKxxvlz08QTAZleffLEKJVSWaY9P3XqNN8+dpCJk8dYnkqRqlbRKgZb+gdZNTDIq265nt41gzKZ9uadN7Jx4yCJeFSmR4v56RFJlrqNUl0lKySGah3qQrlrSIAg7HER8PrI5csIBL6cVMFpQxN4t02ESlwOCbA7Nbmfqu6gL95KIODj3TfdQ+vaNtauX81CXqVQFhJynXS2JoMDgnUnG/pHODh6lrfecQNtgRCxqJ/NwzHm8/P88X//HlGvj25bCL+ikCmnsTl04t3dPHXwABs7I3hreVw2G52dXt75tlv4z3/0W9iXFE4tzlBZzFN0qswsLPPq63cRaPVRrarEI0GZKup0u6iUaoynkiznyowuzdDXPUiRDP/wjW+i6lX+/R1v5vbrdrMq2MV3/unbnLpwlrHUBNvWDFGZm+OBF/fh8CoIQ7KivULryCoikZAMsNg5MMKFU2OMbOjj777yVexeu0zebg2E+Maf/RVbetfwjQNPM13OcvDCRV7Yf5xSpY6miuTxEN2d3RQKKd5w6y3cccONjI++iMtv4/jCOTLlIuOLCwzEe/nevqd5/vQRUrmkZGqGgg5qZTslPU/JgInRSeaSSxIgraoK52fmOHlhghfPHeenp5/hk9/8Gk8+t599F47wvte/icdfeISwY5KiUSEWqPHB++/h3a/dye/+7m8ymV7kzk3DuOsOTszOctv9tzC6dJEP/M6f8OZ3fojSnI2pbJ65dJG/+sLnOH5kgmqmSP+67RzLlPnJ97/Pdw8dQ/MLpmaOSjKNImW3LgqjGZ598RkcMYWAz0040SHtCC6Vxtj/zJNouo1iJUUgFCERcvPUuRd4+PnH2dCiEg/46Q75ePc77sRjCG4YrOvtob21heVyjs5VLZw/Mss7996B4dQ5P3cBVzTArpGN7NjUzQMHj/Pt/SdIe2oYQsLv85It2aSH3Rtu2c1XvvQ/uff2V1ExqlQ0OD11Dl1zMTI4zIWFZWaKeWxl8Z5OPnWEa/p6Sc6UmFpKsjh6lusHdzErfBwDQdydboq5GtVijW1r1vDMsSOk1TrxcBvpco13fPjfMdK/mjtXraKWqaIlq1RzKtetX8Patb3csvNG3nL3fVx/0w5coTDFbIVY3IkqQmYyc5IRmZkpSG89waATDxpshsHipZRk9G3pWS2BfeGB66za6QiESBcrCF+FiFMk3yNlwJsHBvAFfZwZn5Asc6fPIf0sD08II/w0XkX4RSryId3TR5+mZ10X+8+PU69q8m/C20c2sbe9j+5YjGgsIGXqqXxeSnwd2FjMZanpOt89fJwHjp7g+QtjeFwCar9K5btaV+tq/etKLBxNOZrJhms0xG+UmK4kaRUL5Ga+XKJMtoxY1Jmgk7lPyeD5Wcpu43HEPs22iTIXzOY+rHJLM6DhSot6E2QQ+20GSlgBRusC3GSFmedtAlHW5FwrWGgCe2b/NSaImgt6c7HbCJBZQarG45r9aZU5WtlMogR4aGV3WSXS5qLfCp6YYEQz2e9KfdTYNivwsRIr7ZcB/8z9WEGG9Yn9Px9HM5BipWROE/iyspys25jgkDm2Zn80a2Mz0LDZGInPm6Ec5nwW1cgUtLZHyHBXAiQFWGiyN1fyGzRLbCv3/zOPQWv7GqWVV6rGtpjsOivQ/Augo4X5JuaAFXA055rJcDTDcsykXvM4Vtm8sDtYKR3WClRZ7z3iWNYHCFafxWasYmsKrznmon0izMR8zfysVRou2iS+rCnGJivUHCfxvZGBtlKwjwn0iS8rM9i8zzUyM62ehNZxMBmz1jlsBZ+/9bN9NcrRr3R9XwkQbQZaN+6rcb6ZbFarZYIoM5HdOn5WP1fxs+hjs+9fLjX43xTkK1VKJLxejpybY6CrmwUBgNi8eOMe8skSUVeCdKFMuVxiKjVHXVVwRr0EVoWxlZzMLSY5Mz3Fj559gmrdwcPPvcDM3DjzqSQX5iY5duoUhXyWdG6GloifXFHI9lpkCqtgmA11RplKzhGUab0d/OTxp3nrXfdLgEPIzmoOhWggRFtLWIIIObXKcHcHs8tLUnr0lrv2sjreigs3RaPMI4fP4vbCcE8/bV0tXHj+MG+94QZuu/lasCvMzs+Sz1apuxSMskbA7SXi99PTtkZK/srFqmRSTNey7Ds/TluklflqlVLd4Mz8AmsGVtO1uo+Na4ZQ7F46etuwabpkQQQCUfrcEbmI/8BbX81zxw9Tsyt0drbhdHt490c+yqHjWeYW8yyPTRBwOoh7YFsszsb2FhQtQDwUwu5ySFDBVqwzv7REIVVi3/NP43I6+Phvvg+nz8W5+QU+95XvU6tqdIXbcNuc/OVHf5frtqziHddt4fpNA2wcHmJyOSVZTv5qhScOHmRNVytL1TKr1t/CYKCf+9/769TdCqVsERGoOjo/ysxSmh89dQRdtUnApNfbwmBrTIJnbf6wIEBy/+vfjMeh4NBDDATiHDh9hFet38GejTdRDwtZbIh1nSNs6xEsGgcuxc7runbx+ru2M6tm2NjRjVL3kKmo3L9lN20xN4Pt/UKZKxk7dSXI1PQcTpeTk6cO8nff/hLbt27l2k2beM8b78PXHmTPhp3Su0xI9Ay/jk3kvdgMVJchAwDshiGZalWXIT0IjVKdcqFEXzRKb0eUHz3xMLft3Mx7b9vNYO8QN2+5hlzOxVtvvQPNaWNNdy8Xzs0wdynPuUtjvHD4JTSlLhfIS/k8Lqefj33oA4wuj/OXf/0pukIRGRDg8dk4cGYcb9Cg7IWqqmJ3esmU80TiYZn8LIApT9TG1jUbqakl2ttDLGfT9Plb8Yfckkm3bdd6unxtVJQqS/kSmwZ7pUm/O2Dn8Og5BlraKCyVpXx+bfcg4XYPNs2D3xnF7/ZIdk6lKBE9bG4bdqcdXVBpnULmh5Rz53Oq4K/i8TugImS+IqhDxxl2ort0wjYHzqgQCoqwYoO+9Rs4ffYi+XyGyewii6NzzJ2foFBViYRjbGgZ5C8/8gbec/urZaLs6OikBBHHJ9MMbVpDMj3N5HKanvYe/ugjr6G/zc/5uRniXh9b29exJtxPfT5PezCE7otQN+xsHh5k4lKa7f3XcXp6nIuZGdxo5OtVdg9uJxzywvlJuoM99Ha0UMrV2LhhkBoGNYeQGyo8f+Ql2qMd7DvwEsFACFfIxWrBHExd4oEHH2Upk+O219/M0mKGgB6VUs28ViI1mySs2ol6gtSKOgdeepag18XBF07x8DOPYDdU5s/nuPX6awkaXnlr1jQHH/zkX3Fy6hxqTqVcUGkNxEgn04x09pMv5Tg+c5qDJ07I+fLdJx/hx08+xjOHLuF1heSxBTU04umQDyP6AttI54ucnD0rP7e4nOeZc0cIBAJSFjy1vIgn4CSZLtHdF8PQVQ6eO8Gl8XkZ7CA8KfW6Tks8wvceexRXRucvv/oNPvXR36dsq/LgvkNcHM3zD5/8ipT2PnHhIi2JDlRUhrvW4Qt5uef+O7jrrbcxYUxx987NjE6cJBD1iFnBolrmHz71ZaYWZvif/+sb8niZVB4l6ORP/9P9+AyDrcE2tqztk7JQrVgnn6uSiIQkG+32kZt5+MBTnFu4yB989L9x3abN/PYffoKhRAfpjMYDB2f4tQ/+Ea+9dRcOI09QNWhVg6TnMiSTGXnNe5x1fBGD7x15ipnFDK+5bjcXzk9ybOw8Mwsl4u1BKrUaakXYF9ikT2HIo7E0m+cHz+1nU2cfDzz9U1riUXIzWbLzGWaTM5w8eZRyucr+E0e5aVs/VWeJarWKqtZRbRr2soPJdJIf73uSuXKRqWBd3usUv51qoc7cbIqCmpfXQmZ5gblUGk3RObswwQ+PnaFe06Vstl6poVUdXJya5vH9T/Po0w/z9MHDTNXm5ZyaziSJuYPUhDTfZcdwKaiqkNPa0UoqNgcIi83WoF/Kp32dPtau6SGmuFjbE+buW27B7bRzMTdFsO5gZN0AO1ujbIzFGOpaTWvAh0230d/TQzwWoqBBLB7ArTvQVZ3+aAKSRTle4j7i8LmYTmWJRL2UNZ0LmTzpYgGboUs5+2KmIL39dq7dTcWv8vq9t7JuuIeiWsXtFHecq3W1rtbVeuWsPVOSay4WRTWCJQKsMME4K4DVCKyYP4sFnJV91+j1Zi4+myVqNju+ufC2MobMhbC50G30ijJBvJXKBAVN+V4jK6jRF8oscR6NskpxPCvQ1MjGsoJ6zWTDZh9Y/Q+tfWuCfc0YK1ZPL1M6bJbYp1ggWwEQq8TaGixhBbkEcNjMz7CRxdiszAV8MyBYlOi7RknhSoCTlW1pglyNZYI4VkDp50w2C1PNZKFZ54oM27DM+2bzqFFObJ6LVb64EhhozjETjDL7x/qz+Xnr9o3HM0Fs67Vn3c4Kuoky97PSnLECjtb5aG17Mym4OLZVim1lelmvYQHEmNdD477FsU3gWcwTkzlslaVag4iasS/NeWHO30b2qDnOP2e5WliD1rEwAWJzn9bxMa8FK3BpspWtbbGWuJbNMTXvS2bgjPicCcib59VMWmsFQ819Wt9rLOu9uBnoZfUI/AML26+RJX2lEuBaozzYBOMa5biNLLyVGNGN9yrzOFZQz9y3FfQTnxFteSVsv3/TdN2P/pePyMCMMjWKaZVUKY8z4Map2dArNf7Du1/PNx56ktMX5oj0xqk5qmgFnaDDTnegg1wlT6FWoKpX8dgCZKoZgnjo6o5x6uI027asY3FmHofTicfvxeXQ6evox1krMJNVCbl8XFpawhdUqJeqRKOtzC7OygCEYiqH4XexqnsVxaUkU6kswsO8KIDJ1jjTZ2fR/TaiPj83bV3LC+dHyaQLUjI5n10m7PTgDfj4rXe+mT/5zOf5ww++i09+6V/obe3g1Oi4ZFDFWoPs7EhwcTmNLx5lcm6ObL6Iz+tDyat0d/RgqFVOzk1jN+z4fV7qNhju7qZoqHS3tzM1OY+mCSlsmrDbhV1xSkZDIGijVNK5edc1PPzkPvxRBzcObOSp80fw2904fQplDURWR58vykQmh1OtknA5WUylmckXURWNgD/IYjFNTG2lFsiSyhRw2V3EQm46Y2FeOjXJfa++hQcefQJXxIWtYEN1qjJxc2P/Fk6eP4gu0CGvjY5IK0rNxlxhUeSLEHE4JaDlDXqJeD2otTobVw0xlkxyzeA66aPk8kZw+x34NIO8AftefJbhtcP0RHyMTkxxemKGtJ6T3mRRf4LRhUuEYl7Z/yJBdM+125manSXijTBbWeDUiSm2Dndy3ea9nDp3gGfPXCCXKbNppJfX3ngdLdGg9Po7cyrPgXMH8NoV4i29RH1RXJ4qz754li/+17fyia88zxOHXsIQScoYeEJunFWDekCifdI7K+b0UrTXpJTSnbWxY8sQ5xYX2NQW4/BSEmfRxnw5w8037OL5ffvB4WSHpw1nd4xIIsIpEUQgpLVqgXxqmYDfTVnVaW0PMDaf4oYdryI/d0HOF7dP47kXThKNxdm8ZiPPnH1RXgurw2GmMmXqtjplt/D2qtKSCKGWKwR8caZmp9mycS0+NcylzAxVTUixDSp1FY/LLqV/giHndnmo5oX5ni6ZenVNxxfx8ODXHuYjv/M+qgIoUMSN1oHX6eHakQG+8tQTGHUBgNrQKjqKG5nIKphu8vMht9zeoIboxVK9js1lk4Dl5EyaaNiJXQPNbbsMKGRstHXGWVie49qh68hqGcrpRW7avoHHXzqNbjfYs/sGujpaaE108PEv/B1vu+N+Dp/cx3/86F/zWx94PyltGaVmp2LTsQfs1NN1PH47+ZLKcM+ADO0pqxpdbTFiwSCeSIj9p46RqEU4Nn8Or9dD0KlQrtW4cd06nj8+gRKoEAlGaYmEOTI2zlBLgrjDxcGZGXLlCp6Il7qqopQUfvC5H3HPh+6iwxNjqZKmt6Ubm08llS6wlMzS2xpnamYZta7jEP0GuFwKIu0hkgiylC7Q4vVhlO0saTmZjr15VT+HLowi7AvLuTKxWIxZIU0M+8kLGaRRpz3YisNew2MPUfGXWZqcIxCJk04VcYcUbt69haeePoTPLZBWG1WfQVgV7MQKA/39PLFvP3aHgqLY2L17hww16PAkGJ8f4+bNm/jWE/uwCeJmqc7eTWt5fnIct12hhE6r30u6VGBN/xDj5ybxuX30dET59ft28+0HT0iZ8+RShs5oBLdL45Hjx1HR6Q/GuJTP0OYIoIedKIZBNpXH3R5l4eKsnDO6DQba2xgcHmDr0BBzYwucnpliPjvBtYNbefHIMXkviIQ8uN0uulYP8uzxw/LvRiFfxqU5uevWuzhw4iizuWnx7IeYEqND+jbOMdS3hovnL6FpZSlH3d3bh0txsn9sknl7Hkdd4fuf/wzv/92PEY/FyC9lqNkE67SG4VRBV8hkClTyZQyRpB52E7A5yNWq0sdRBC8JVrBQqAc6PBRzFQJON5VKFb1o4O3y4xC+lk6dQqFKOOShqtYpiHAWIZmv1iV7TSSauxMhzp0Zw98bwFjS2LFtA8+8dFA+lmtvDTO3mJMPI5xCClvQ5XW9NhJhzlmlKPwSBDVPlG67nA5ut6EX6zhjIoHZIOD2SAYmZbjlmnU8vO/EZV++iHK5rX4ndYeOXXhDLgqQNo7P55JBOOv6Ojl8aYG14RDTySzXDvZSF/L942cxahqBYISl4jKtkRClQlV6DuaTRTTDwClDQQzWDbZx4sIcrrCDmob0v3zonx7mn/7rb3NyYh7FbWd1a4RvHT4l7S32bBthaVFny8Aqnj7wEmtbEqxKJHj7f/j4r+K/L1fral2t/8vLTM+1skTEz2aapHXhbd3OfN0sc+HXbDFuVjMpYLNEU+vvYoFuLgKtAMCVEhbNz1sXnj8PRbAcp9nxGj9rLWsfiBJAgWDCmP3RLOnT2n+NbTaThBsleuaCvlH6aO6jMXFXnpclrdMsM2xC9F8jU6dxvJst8q8k830lCZ3i2Oa5WNvWTMZretFZ045XKjFGp5av+d/AAWt/m2m91vnarMQYvJjo+AU/NXM/gt1l+kFa9289d2v7mwGMjWP8SsAUa9+slBhrLeu5mSmy5rHM8bfOn0YwvXH/5jV3pcTaxnNvZJm93Lx5pX1khv6YDyEa99dYjfO8mTzZHENx/Vo9DRvZiCvNG+t9qHEurzS+1oTYl7vumr1n/t4szXil/TRr4yupv2my78b7ypXGWJS4R63EsGvW3pX+njQy+Mx9Nh7f3O6VhlH9ykC+z37q45yZvySTGDOlIoszaZxBFz6PIqWIe3ZuYmpukRMXzmB3udCdbsKKIsEltWqTzD+H00Y9V+KabSMcPj6FplQoqWXcdgcep5MNm9cwNTOHWqph9znYPrIRvWzjwsIEIaef5eUkDrebLSP9HDh2QZq+79k+zNzcIoaik8yUmM8vsWNkHXOLaZbzGZm2efSls9z/zjsZPTFFUk2TnC/QEg4zvrjI0EAnoxMzrOvqx2EzeOfb38KXH/gWp89PYHM5sRkOsukCei2P5rLhdQflwhqtKr2KvC438UCAizML0ovJ5nPIRb7L7qC/u5uZ1AzoTuLhEFGx8BIwiWqjpOUpJnPcvLqHuWyBufk0Q70twjyJgirSUtNS8mlUVWweh/Q/qxs6RtbAE3OSXsjxH977Jv70S/9EVyTB+MQCqzpjjKVTUDbwOf3kK1kpM211eejzBDk4uYi/x02hoOKs23nrHXfy4JNPUfHo5PJFNBHW4HIzGG/nYjbJms4Ei6k8Ue8wF2afZ6ijA0OrcG4+xZqODmZzWbavX8Oajm4+98xD7F29ief2HeaOPbtxOxQWM1lu2r2FarnIRKiFytGDPH/6FIO9axlsi/Puf/cxPv/p/8L4/ARaqUJXfy9d7YM8dvBZxuenedeNN/D2N+/hmWfPMDZT4PDRo3QMdjM1OcmGoT5+7d67efMf/yWBoBdn2eAj7/s1nn/+AE+c2UdPVwJb3s7ubdfIOfv33/wWDo9TBmsEnB7pSad7DOqqjkdxULvsKoVR16TczWdz4nc7ZFqmQG8cNp26w4a9DiGfE92ukMkWeffdb+Rd7/8w9771TpxxDz7NwdJCmuENgxTma8zk5+hMdLGUmqW/q435pTLf/NL/4ivf+DSHnzpJ2Z1nfimLO+BFFbSYCCSUOEVjGV0Fh/syaKQVFNK5PNGon+0bt3J26jzOuo2puQU0t8qqWBujs4us6ehkKZNkVWsLB0en8IXdkhHkwUtQDzJfnuPmbTtJLWdlEEGlXMYVUKjpwoVPI5lKSsZpXqvR1dGKKgDBWpVkpSI993x2O6FInKhDyIs9uIJ+KS88cXAfPr+bmqGTz9XAb3Djll1cOnWCRbWAW3Oi1yERibFYylB31nj1dbfzgwcfpKM1QVAJM56fp1yq8/V/+jZ/9ocfJRjWefrsMQYjHfztp7/Em992H7Ggn6VSWoIh67o3oLhLHDh1lp3bBjl8dJT7du6k7gvzvx7+CZs721kslSnZ6yiqHc2m4cNFzO/izHKazlAIX6yP7mCVas3BruEb+MT/+gyrOuKXJfIdXSyXMuSzRT786lfz46eeZ0mrSHDH6bETa+lgKTmPrapTt+m4fW7qwgdR3B9EyraqE4t6WE5ViLqjZGsZNJdBZyTOUjIl/dEE29UtUr/rNe6+9WYqqp0Tp49JgG45kyEYSuAO6ExOCa82HyW1KpNr67YaYmqkChXiIR8lvYJDBPvYHPIeJJJLdaVOX6KHqpFlcSGHKjz0XOA2HOiKQSTuo6+lRYLuJzLj1JZVevpbSSXz8sFNW3sL08klNnau5dT0WfSwHa2g8e6bbubkuWkOz1yQjFrhSbfa18pkOgPeGu9sHeLvkydh3pDMMRHuIcF0Tae9PUE6lWdTRz8XF+ewu3Xyapn33vcWSuOjnJ6e5b999G2cH1vgDz79dZlCbLgh6PaS0op4dYWb+gbR6hpPXphgpCtMAR+v27uLRCjA33/z+yyUcvicbvb0rULVNY5OzBNJtHFs/Ax2m0JPbyvVdBWv102xXsLmV8jPlnAHFBLOGL29EZ49cVZKUMsVFa/fSy1bBoeCVq/JoI+e1haW0hlCNg9j4poRlFdDlx55gjGaXS7jj7rJp0R6ufhLrOPxuqS3qubV8Dpd5PIV9LzGm2/Yg2Z38oPnnkRz6xi1yxJ5u9dGeyTC7GRaBm0MB4OcLeYxquAPuilXatL3Tq8a0uNPBCc5W5woFcF/d1Bz69IDsJqskGj3k5wrSUYlbrtM/BUJ13aniOqGvetXUzbqHDgzyUhPK6eTS1zX2U0qW2XLQDvfePEY995+HY8fPE25WJTz2x1yUs5V2b2mj31nJnAJIFeFe3dv4lI1hVuJcmZ5SjIjXYrOjYle3F0dnHzpFIn+AarJZQ4tjhPQPNj1Oh2tHehRG/mZLOvaYwTdPn7zz/7uV/Hfl6t1ta7W/6Ul5HBXAl3MxX2jl5wo66JclHXBbpb192Zgl7koE0CKlUnWWFda0JtltufnzL8G0FCUOI6QQQp2UyPgZrIMraBR4yJXgCUmGGT2iQBCTYaOtR+aVSPY1AgUWMGYZv1pbasVDLECN9Zq9AEzgZtGuWYjaNs43iu1w2RHmYDSy9UrGUPRPuuivvG8X24f5naNx2sEWZv1sfXnxj5uBKQa50kjENI4zmb9MiCfCXheaV41jou1jY3hEVeqRuDJPIdm2zWCdc0kpM3mlrUvBFAlxrgReGx2zFeSSG4CgCuBkSZT7p3ObzW91zSy0BpfNwHjZgCydU419qdouyk7tj4EeCUSaWuJ9pvMyZXmVuOxre3+14z9t15mrja7t5uvmWBcM+Cu2QMic3xM5qVZ4v7azHPQ2gbz3m8yE01p9/9rct0NGwa57brr6I53c9OO63jb3Xdx+/bd3Lx+F2+8aQ894Va2r9/Im4SR+/W38PZrdnP39TcytHqIHUNruXHDBtaLn7duI+Bu4Y5bttDd3Up/dxdDq/slQ+TS1KyUEjmVoFycPfPicY6fOUOllGdhYYFPfPQdGEaNHz79HHq9hN9V47kjx7gwtcT2gT4qFRWP7mMhlae8WEAYhQVcXlS7jrfmkgy0W7au54OveZcE+QQ7w6cEGOpcTaVaRrG5iHWuZ3JyTi7YI34X7779eu69/TZ6Vw2zcbCftniClqAPw2Wnmq1Rr6is7V5F0BMkHPAQdnvxu9woNhvjs5O0JyIEPA60WpmsoZJPJqlreZKLy9TrJcpVFYemkaJIrlCgXC0LD3TSpbw872JdpVQoUtertAf9rB3uZLGQ477bdvGP334En+FgMZ9GcQqrQ4+U6gqj/d0D6yTTUnilTS8VMZwOKtS5Z9teqlkVr9PBP377BxTqVZScTrsrSls4RE4cX/hgOe0UCzbK9RK5ykniHj/LmRTj5SLdgRCpfJaQYuPAsTO8dOI0EZuPp/cd5rqNW1nVEuGx4wc5m77E97//MLOZPPu+80MuTUywfnAd6zYP8c3HnuSd7389Pz32AuFAmLl8lQvn53j42cfJTRXwuFw8sv8l/t0ffJHDY1mOnTnLlt3X0Rlwsn6wg+MXZvnAX38ShyrAkDz37b2bv/3aF9h38RhtsTjjF5eYmsnyzW/9kM//47dQnAoBj5OQw4Oh1nG47OglTTKYanZdhlFoFRXNLtKTDQqFivSbM4SMVZj/i8V0QSca9lJDIZsuSRn54X0v8P7ffQ/+1gQBe0IGrrSEI8ylkjj8KsLYamZ2kg1tLYyOz/O5//YN7nnbnTzx8BMsawssLmQkk6g3qGC4ahhFlVRqmWtHdlLWNBmYUC1rpAtZdHedjkCEZw4+z9iFSc5PzVA2atIj7x/+x9e4+5bXsHVwhHtuuYOLhRSuoJOqR0OxKeRTghE7h8fn5tDyGU7OjjKWHMeGyrbhDaxri1GqZQm5PSiKh3Zngu5YF5lqBR9u4vaYBB/a3BGWaimOTVzkuu2bmZqd5MkXHkFz1IhGI8R8fgy/JiWugpG2hM4H730n77v3Dv7Lb72DE5NjktVayVf4yve+TXqxRDJZx5MI8ZZX3U3Y7+Uf//6vmFo6z69/5KP4FRtFzeDu19/OrqHV2JxOnD4nLb4wC5MXWZhfxOGwUy3CG+/ZQ6qmsjyXxO31c2x6nhZ/mKiQtvpcbN84TGdbC4lwgvfe8zrWD/WTXrzI+OQCkxcucWr+LHFHiFWJzTKJtJbK01r3ynCdijfIQMcwTo8Dj2BXVXQyhWVcukJdFdJlg65oCJdq4Ag68DldkuGULWhs27wWI1gVREiMkkY6m8Plc0ofRJ9geLlsuMMBxmeWeXrfC2xet4GJ2SQVm0Fey1Et2BnpaqVU0Vnf0UY8HKCvJUipZhAJesnmShTzGnYXZNQCNmcVu1MAbAp2V56F+ZwMC3JGXHiDLm7cvpU1/Z2UcmW0rJ2DMxfp9cYZWNtNSStLlp/f78UQybd1B1PZJYyoQ4JBwh7hxydeYN/RM7hrdvp6uymly4xn5knmUlQKKp+/eAZ1uk5V0WiJh9ja3cqmnjVsGeglriu87rbbCPR52LttE5v6N3DtqkF++tjDTOUrTBRTjI0vyvFrb+1i58YNxDyCkelmjbtFSlHFPc4tQjECXgq5OmtDXp5/bj/f/+ljdIfC/OmHfoNQwMP9b7yTaluYaEeAzW0BgmEPPaEIHaEEGzZtpO4ycNr9uPKwceNqyXp2+5w8fvQUtVKViggsqtultYLf70LT6rR1hCkWaywUsyQXC1y7tpfXbV0nmZlK2CE9LEuuOo6EQ0rf33LdVplCLVKqRZCU3+OVMmV7XYfKZTDvW/ue5QfPP40v7kLL6dx57R7JikUzWFzMybCTgGDZRRR8HieGblAuVbHZBGtWJO2CzSUUsjbqy3VpQZAvXg6xshV0+f7yQgmbYsPZ5iQc94nkIRnQYdgNKb0/MjfDwdFpyfA+M7fEcLyV9btv4GxyiZDHg1bTmVlIU64UpddeXdepC3Gxz8n5iQXW9XXgdTmJhMUDFI3VrjjPHz3Gtkic0mKR1HSRnrY477n5HrI+jT3r1pJoa2fzqkEG1wzh9LgJ+8JMHJ/ijmuu5+TsMmW18qv678vVulpX6/9S9p65QBWLI1OiapV8WkMkrFIwsQgTC0erhFFUM68x83erPNXcl+lfZy66Gz3GzNesi+hm24gSoIvV86oZW08wsqxJmqZE09yfOCfTaN/qq2e2V7xvgi6mhLUxPbZZ2xr3Y/XsMvezEljTKHNsBEKsxvVWUKsR4DMlglbQQ5y/eE9IsM3xMRmc5j6sUtRG6aboc2ugiindE58X301Jr/ma9Rwa92UFzqQfl0Vi3SgftXqnmWNoLbMdzVhBKyUxNzuW+ZlGmW6jfFOAcWbASqP/o3WMmlUz+aJ5LKvH25XYsc3miBmOY+5rJUnjSlJqK+hj9XJrlOev1P5GsFi0SYyb6CvxuunDaX3fekzzeOJn0yPU/GpWgr0lvhrPtfG8zXtNYxqsuZ2YT1YfUVGizWZ/msC2+N16TTeCbSIsxAT4rFLmRnahtf9MGWzjODUy6MzjWWW+1s9Y+7Ex8KhZvXmFRFvrfprJia1+rY1guQnMNbsfXslywJxX5t8g815gDVRqHFPzb9Ev68v3KwP5fvj0ozzw5EM8f+Qg33noJ/zLTx7k4f3P8NDDT3HqxEV++OwBvva9B/jRo09RDhiMj8/wwFNPcnb0AtPZOZ49vI9aNsVMepZ951/i4WcPMzkxjaNeZ2ZpAp/Dg9flhWKNol2nLZzA79Gxe0AXWlWnzjv+6FNMpxZx1QUbTmMmnSVXyBOL+si8dJTde4coVvKkFxeo+jU6Ym08sf8QjrrOj/e/wN6dI/zwkQN8+YlvsrC0LP2vNANy1TSKrtEWuuwBVNCq3HfzHrp8MR7cd4yZiVEqhQzzmSzJZJJgMETI60cRYJ/i4KmjRyUDr1ZXKeYyqLUqda0q/fKSqRLFQoGQ1yuMDSmqZdLZPLW6hmY4qQmJpNNNQgnJwAWP2022VMbmcUsp2a/f8xpszjqbWwaYy+Y4MzvJXVs285Pn9zOdnqFS1hGEIMWhYLMVUFN1UoUaPzm7Txqv18o1aa5+YmEBp+JgMblALOCTclvDbWdHrE8apr/n7ptIBLtZN9DJ5NKSXKwl1WVyxTobu/okSwu7n4HWVaRtJTrbuphIF9m5rp+NWzbxhutuB7+D6cwEX3/6KbrDEQK+IP1rV1PIVGlvbeVCWuPpQ4cIuSO4o076Ep2EbUHaujvY2h5m3cYhVrck0B1ljHodtyuKLQg9LREqtQI/evSHPHX0HGOX0nSEuvAYboZXrWNd+whff+wHVAsqG8IdjE0s4zPcePu9hLtDDI/0SRakYFvpdh29qmFgyD5z6gq15ZrsC5vXiZpUpUxO+NAJT6loexCnSyGe8BPq8JNZKOFQDDlvhIy54K2xs2cj/V432bl5bti8lYVMmsWZlAxEEOBxR6CDU3MZGbTwm39yvwSApsR8Ws4Rb41KkGhG03A7FeL+ANVajR8//jRGqk52sUS9buB2ONkwso7+NUPEW9rYvWmzBExR4dq2jfzwK1+kLRQk0TPI2978dras30Vd0GpyBvaKaKyBYldQgi5q85r0AXO4nGzZuY3HDj3DubFLFOYr2EVysMuB06YS83lQhHdWXaXN62J9op1cpQIimddh47Pf+w7FdAGHxy1ZcvPppPTlzMzn6Qx2MpNfoFzJ8Y2HH+QzP3iQ3/zv/0As6GV6ZppqRRNkWDRDp701jt3p4LZbBcNzFcePjPOFL36XB3/wTXKqRl9XmwRHjo1NY9M01EKdhcwyoe4E83nhyxenvSfOj7/3HGfPnMbtdBGsOSRLLhGP0BqKMbOYpDqXoWNwFUvFAkdPHqdcLNPlaqHm8KO6VCaXTtIai7Iwd4Gw4mJk+zYKQQ2X6qEmQPr6HJ2RILpRxxUIoPgUiuUyNpeB1+1mcj5J2dDkNVeqV2WggvBlO3LuPFnB6LJdZmZWK1VKmkaJKumpIi63QiFXJl9KUTKqPLF/P+3xBE4h+5ehIGkm5paxOwwKNh/hWBDdHpQsOTEW73zDmwgE/fi9PjwON5mlimR/hhUn0+Ml9JxBsCWEvWZIb8qn9h1iYnwOTbFxbnmSQMApg4Qujc1Sz+r47T5yNSF5tTGyfoB41E+nHiIWCeFwuVCrCm0d7VR0jUtj04QDPno8nUQ9HunHKZKaW1oj9LuDqItFhresJxryUc9U6BVhS7rKhaPzhFsTLKYnODQzQcDho6dlCKNosLxc5IN/9VmZujqZmcem2OltW0XRoeOSSbM2HMKn1OulqzVBoaZKDz0BPkUCHrZvWSXvr3/+3/+Z+sQyawMxmZR7U9cgMa+f2eklRmfP0OGOyzRse9TPgUNCQu7B6dJkyrp4QCL+etbUOhdSi+TKZXbv2MqAuGeF/XS4vNy1aUSG9UTCXmxCal3UsLkUqrM1KjNVXtMzyHIyS2tfGF344tU0UoUM7Q4f2ZoqAT4lYBf8b5lim18qoygKD7/4PNs2b8CuKMQCAWxeBYdmY2k6L1PSxbwW9y/BFBWyYkerC+ENodvqEsgTnnmrEzEpE7aHbDhtLjxxB1t3buK6tZu5fWA98a4Q0YSfLUODkoEcD/qkpDZkc7Oup42Q08WB55+VbNgvHTiMO+zk2PwY/oCLQIuHaMxPRFfocPtJF6v0hKLcsHZAXnsPHD8tx8yw2Xjk2HmG+nvo6I7zvTNneMcn/0T6Wf7VP3yRHz3/NOeWJuhN9KI66hw8e4xQJMSxIwdpCbhYFizqq3W1rtbVagLuWQ3trQbtjT5fjZ5bK5mvN5O4WV9vlAdaX5fG+xagrZn/2y8AU01AlMb2WheW1sW39fimt5kJQpmsGwEEii+rx5e1D8wy2TECvGpcJFsX7s0W2CYII45rLlAbfbqszBird1ejbK6xnxo9yczgDPHdujiWjJmfAaHiu1hAm/1gzodmZQKAVsC2cUzMcbACTdaxaXYOVraRNXTFCgas1KbG+dBs/M353chONd9v9G1sTERtLAH2iPdNz7mVjt+sfVbwaCU/tCsxvaz9Z50bjSzaK+2jEWCxtkMAVCYYZ84n6/4aGajNZJfNpOmNHp2N3ncmwGX1ymvWJwLos3r1WUsAfSsFmqxUJuBnzjsxnuY8F+2xPoSwgn1XuhZFifus2Nb68KFZv5v9LK47ayqudZvGhwlmmcBWM9Cs2diY9a0Vkrut5yS+i3uiGCfTz9P6ZT1O48OexrlnAoXm/cIsEzy0AnTm/DIfLogHM+JzphelOV4mWGg97kopv/+mIJ+u2ilWVGoCfCkK+yIHtkodI+jkWPoSkZiGS8ieUgX2vXCIkwuTlIsFOkMdzCSTQhjEyZkpsSOKhTqdLV7WrVlPQVPxOYJsXL8Ov0uRgIJRKZMq5KmoOi1OF5qqUajqZLM5ysUKatBGIJxgqKWdvpYE9WKNh4pVHGkXt12/hdaWFmbnlvH6PJINIJl1WpUvP/ok8/k0pWqZUlGVC3d/1IVegb03XotWd/KxP/k9+hN9PH/oJDk0uqKtjC7McePWdRLg2rBmhL7WNorFOgHFhd0mfMpEuzXpAVipqdSqBdR6FV9EAEVlCsKAXaS62g1qmhuHx08sEicWi+ILBPH5Awyv6sRwOMjWdW658SZ2t3dwXWsXJw8eoscTYb6aR9ENyaQ5crFEX7CbVZ0t6A4Dv+Ny4MFcqSy9olb3xOWC/q037rzsw+RQCIe90tfpmROn2LljF/2JbgJeF0Y0zPota3jgqQMspudYmC8SbmmhKFg7NQObYrD/0iiugM5dr7qZUimLTVE4PHaW6zcO09PaQ3Y5Jf0Rh7v7CYdibBkcxutvJajaqTg1KYs7ff4MnV0+4jEfRw48y0Cwndn5SdpbwhRzVS4uZLGVMhy9NIXuEdI+Q/o/pjIZ/O1+7r3jNdy953W89jV3SLP2aKTO5m3r6G0XsuBLOJ0OyX55cvQcYQHWtTkwsholH4ysXyMDKuyKTZrK68Jfq1DHbhM+ajqxuI96ukYtXZFgplBbiqRbXRdkUJ1QxEPdMKTfmuG3ky0IT6zLLJzheBfPnNtHvlCnqz3M2MUJtq/uw+12U6vDbdtu4Itf+Spd/gA5pYYmUmups75rDTanwsJ0Coeiofsd1ONu5pbzOOwuhrtXccdte8lUixRLVfra4kyev8Qj+57jk5/+PNdtH+GWLevoW9WJf7CFlK3CQ0/8BH+9zH/7m0/S6tIlu9Res1Eqa/JcI4kwhqZhiyr0+aM4DIPvP/JTUqkSy+kqw10d7Fy/lnh/P/6OKH6/n99/0we49dqbmMmlODc/T9Jelh6Obp/Cv3/1axhOtOOzuVnVPoitojKZXMZm09AEeCEAQq3O9t07ZfiKACbUmk42IwIGDPwBJ7FWD2fnL4Bq5xsPPM+H/vjP6R28fKP8yXOP4lF8PPniMepKXYbZtHS1cv36bdyxbQ+rEx3yWqxRJeaKs3qwC0ewlbaOHt7x3reyfXCEiekkh8+fYVWsnbonxujRCyguB2uH+rn/Tb+O5hO+hQWylTpj55Lk6xne8Y4348HF6PmzFPNlVH9d2gjUVJXzU0tEwxHi7X662+M4UNixfj2rW0Ns7xkRlziBqBcVg+3Dq3EKTa2QObe6JUtMJJR7wm4JYrtcdlwJBY9TIRLzM9SzEaMusk51Wnt6iEZ9BO0uPG4/AV+I1kiYXCopJfMXpyYxqnbyGDz64uN0trWxVMzT1taC3+ulXqjLkBPNp6G0OliYXcTvDGDz2LGFoTMax+90UCrVqLtsMrX8jz/wQbwOBxXBGk604Yn4KdYqDHZ209/Ty8J4kt977xvIpUoSMBZgUjDslV6BxybPs6Z3rQxhKuUrMgwoFG+hpbuLk2cXODR6hnmtwvGLF3jxpSNoXvjhU4+RKpbRaxoLyRQ/ff5hwqEg+ZqOw2bHH3bTEgnQqvtwaHnKAmAWgSWGQbJQJF+pyQcrYbcbl8slk7xdNoW/+6t/YkdbJ+tXdwh7OOYzVZ44MspPz5/heHoGe9hGKavh9zmktFqr1ukQbU34JEjt8im4gkImD46gIh8yCIr5iwePcmZ6Ho/NTpc/SqZU4aWJab6x/ziGbqe1PyGZms6IE3+vV851wYJrcwVkwIbhsBH0+JgcT9OFX6aZC7luR3eX/BtnF76XhiFlzUcunpHMyZJSI+4JonrtEtTL5Us47Aouua0NQzXQljXsHgc23X45KIQgTodB3SlAYBuOuAOH4iDYEeKl0dP88OwRkpN52nwhjp8ckw85ZjJFqoJd6DDw2RRG1rQRVFzU0GVoU71mEPN68HiclLJVakJOLII+FrPUNU0Cwh6nh4GECMsyJEPdZTOItwSZTy3S0dJF2BOktFxDiTjYcv1Wnn7wWYpLFfaPi1RBO2t7EvidUDBqOO0KPsfV4I2rdbWu1v9ejSCayd4yF20ryUOtybfmds2M+ptJ11YCIsz9WA3cG2WQor3mMVdawJmsMLEQXImp1SjhtAYrmG1tBhxY+6aZP9Yr9Zyy/mxllDWyxKwLZmsfWxk+KzFvGhku4jMme8/arybw9/P2WACuRsaOdTEvgJ+/z37652DiSmwcwQwUZQJDVmDPZA1agcHGFGBrP5llnU/WIAczmbVRdi1es/ZZI7vrf5sff/uJX9hmpXMzyxpM0qy91rKCFtbjmkEvoppdfyaza6VqBqQ1vtaMDWr2U+OxreCUFYyzsvmsMnWxDzO919zu5wEXFgDPygC0Hq8RwDW3MdNerfPM/JwJ/IrXGx9WvNw4vBwAZE1ztQY+iC8T1DNLMOTMeWxeo9Zrx7yXiM+a94hm89kq8zYlzKINjefQCNg1Y1A2+iQ2Y2Va92etxiAP81xu+cKlnz+EsT4QuRKA2FjmOZpAZSMAuBJz0coGFq+J+5Zop5UF2njPa2Ro/r8C8oWifkoC+RGeQoaNYMAjWUvrVnXQE+jgzOlFyZ5Y09vC9ZuGqRV04rEEU9MzpHI5aX5fqtRYTqXR6xo1m87k0gRDwQ46/G3SEyybh2yuKEM6UgtLaEYdsawLe4Pk00ViHQk6WhJ46i4yhTkuLsyynCuhalV27+rgR/te4KEXDzK/NM+q9i7pC9ceEAyUOHdv3csf/Ob7pBzp9/74d3D6ndKDrDSbY3j9Fh587Gla+1pZtbqV7s74zwzJ85SNKmFfkIlcFsVrZ3Rygv2jZ/DaFDS7IY393/iqm7A7deraZWlnua5TUjUqqTrJuYJcBJ2fvMTU9AK1UgpXOYtdrVItq0yXM4xn59g3O0WaIufTKb79/PME3G7Giml+ePIkxxZmOXPuLPmlAslMnmxyjLSeZmY5hS2gSABKFYtLv51CucrMUp5Nm/r47jNH5OLTY1fYPjBC2O3n9h1b6GgPcWLmInV0np06SMwZZ+f2YbCXyetFEuEgNl0nq5d58JsP0R7uoKtnhB/86Kfctutawr4Qd994K0ODw5yeGsfhrTGerTO9OMVMbpEDF09jw8HZhQXmLl7CVq/j1AzmZ9MMJHrxBBI4bVWcIS8nx6cIuOx09rQyl8vidBvcd/edOB0CPrHz4Xe9gdJcjeOHX+Lxg49SL1Vk6Muzx8/y7EuHiAdbUNzC01GRCbthh4+dHb1EDCd1pUqganDx9DgqGoaus1woy7TLqh9KRo2ao06pWpUL8OpSmUK+AnmdXLGEEL65ww6WF/LSyJ+6LoE/4X1lE3I6Q+ehA8eZX1iW4SrCD221YMEEPJJFZxe+VWqF3/rIr+NK+LDVVMpVjWggRmssTH+8g2Dcx45rNqLOF+lQvLR6nNQpc2bmEg+/8Kz0E3Q6bEwspnjT6+7G6bDzjjfdw5ce/DE/PnaQmwdHyE0v4NXh3ttfxdMnDpEnz4VzU1SqFTrDIQytju4y2L5qHfW8CmWVWSNDJlOmNxGV8zNNQTKqHjz+Itdu3Mr45DQpNc9ffOV/8i+PPcin//IviMa9uMUSXqy9VRuffvghRotZ7r/3rUxOTtDZ0cHOkSFee/MtZJfTBG06pazKs0++xMx4ksJchVKmTDDg5Ytf/RLU3Wwe3oHLYVBVSzz0yPO8+333kEzNcuute0gvFkgnszidGi3uAIuL81yYPM8LY4d5+tx+3vaBN9EX72bdqmEOHDvF2rVr+Oxn/oaLU5c49Mx+bFUNf9zPdVs2Mr20SNzhJN4ewmF3c+DAUT79P/+aYknFETTYtW0bW2/Yisvn5qs//A7xiJeiWkQtCPaYwrlTZ7mwvAxqnYQSZHF6mVev3UN/eztu3c1YrcD+8TMSlHIEAvS3d3Ns7JKUZnYn2qTHngDcu9p8lATDSgila+JuIaTfZTLpEi5nHkVIHiNBJqcv0tc2SEuwQ4ZnVFw1JmcX0XwKne4AXpeN33nfW2nxR/E57Swuz6JpKtNz8+hVlfiqGNWqiqGIxGhVTFWcbpUuf0jKyee1HIrNzXBHG76Kg/e8/j0sZRfl/aMzEqFaLEtvU/HAYy6dJFXPMdTbw99+47tsGOrn7jv34om4yS6VJFDe3hPl8KWT7NixScpLl7IFzs6PcerSKOVqBmfw8kOirFqlKxqV8lXBOis5NBSng4KzRt2nMVfI8pnvPsTvvvFVdIWjVIsuOSb7Zsbl/Uo16swspLCjEPS7JXj90NhZ5smRzpcp1+tkK1UeuzjKw9MX2DczSaVapT0WRtP1y7LT8SQtAQE+ZXB6/VS0IsvVLKfPjDLU04Va1Yi5I/Je3tIaJOhtpbsjgd2uywc7r964jtZYgJLPI9mSImtFhHGkpjOXQUjhkWfYJcPa4XJwZmJW4PoyuKNSr8t7dTWsEG0PYxNguF4jGg9L38L+jhh2QRMW/wQAqelsGB6hLB4sCARZNaTEVs3UJEgoPiPktlqtLuXZwpYgWytyMZ+TjFJBOdbLKjWbxoHH9/Hpt76O3799C8P9qxifX6Y1HpEPLMrZqmR31zSNAxOzfOXRw9y4boB337BTJuUm2gOSfWsYdnwJH0FC8j7XHQnIAI39Fy7w3QOHGZ1boj0eIlMWQHEX24c2k01VILXIyKohnIoisFNOT5zjE3/46zLsh4zB/bfdR3/vRhbKZekNKMZRgLlX62r9n1aNi7bJyUkOHz78r/4Sn79a/MLC0yrfMgE/K3ukGWDXCNxZZbzNZHmNYEkjg89a5gLSXLQ1gnRWnz1zu0awwgQ2TPCq0WtPlAkWrAQCiu/NWIQr+ZKZrzcujs19XGkBbIIUr4RlZC6mG/tQnKs5bqZnmQlIrOQLZ6aMNoZVCIBrcOFLnKvUON73AVTjQxTmsvLrkT2v58SJc5z8+w+wvP/t/Gj093n/Px/8+fsfvKGP3N/+GfNq/efnYzJurPJvs02CldN43lbGn7XvBCtLnJtVhmn2t3XOmaCQAPYEC8yUVa80b0zW4pVqJQ+8xnkuxsE6d62AppX9ZoIjVvmvNZFUzBuxL6s3nOn12AzoawayNF5rZhusnxegnHm9NDI/V5LeWs/ZnFMCaJEAlxlW87Pzs84tMdfMfvzkq3+Nd/zFLjlnXv3n/1F+/5Nr3yDnT+N8Eu+LOSXeN18X88tspxX8bAb0mcEL1vFrBPisQFFjgmuzcTf9+Br7w9rnJojVTOZ9JQmuWVa2XqM8W1wHjUDxlR7MNAKrL3dPqkx+6BdYr2ZbxOsCmBfX1ZWuiWbMUWtbTRa2tc1WAFS8LsbBBE7N+6M5n8S9TozBP6tvlr9bHxL8sv6Gv/Lgjde+7R6u2THCvmPnUaRfvA3dofOGm/Zis6kslSo8dfQQlekKgaiLru49rOuu86PnnpULjze9di8hj59KqUa14mLm/CQ5itTsJeKBNvxOhVpZI1fIciY5zZ39q0lVnWxc08Ojl17g4qUcq9q7cQsALa8yl8+CTaUjEadaq+JwehCmR8LUvauzQ6zFGemM8fj+I7zp3lsoZvIkl3Jobj8LC/NUVZWICMFojRGQEBCMn5mn4Cyxrn+A0dkpnB4ve9ZsYTS1QHJhgduv3cpPjxzlms2beW7fi1TLBi6nQlV4IRmCGQaqYL/pdenx5vI6cLo90jOsIliPtTqaquNwG3jcHgIhL2v7etmxbhMPPfs0/miCWkGlkFuUwMfEXIp0qYjL4UCzGbiDbmr5qgzw0IyaDAUR6bRTmTzuuo38XImb9+7gyIVzUtJYi4OnAnu2j/DI/uN4FLdMf3SEbNx3516+8s0f8eFfu4fCvMZPDuxDLzjxhhyE/EE6wj4eu3CSDnuIsM9HT08fd77qLfztxz9G35a1+IMuXLYqU6cXOD4/w/1v3EtqoswzJw8R8LjYsqaDFw9fIhbqYedIJw+eeYn1kUGqeonB/gEmL53mwPgCrx7eTv9wD4+fOsLS6AzR3k6W5mdxOd0EfD4U3cXO9es5MTEm/d+cVUjnSihtdta0DHHrnm3cdt1WPvzRjxP0eKlVynQGwnT0rOeJ08+gOjTaAwFS+RKzszkCgpWn6ShBB/VyXUrz7H4bFcmGueyZ5vS4UAWj1GZIg3q7rqDnargdDmoJm2QM1vJ1GTogfNB0h431rcMsl5cY2TREh1vhgadeknPChZ1rBrfw4tkjRF1elktlwi1BUnMZXnXHO3n0qa/LAIZwq1+CIyI92KEp1KqXw2dUQ8NeNyQoqNh0wqFuBuNBxhfGKbk8lPJZuls62H/iLLG+AMkLWbwdHrmQrmZUCYKIyW1E7PSFgmTyKtEWH8X5EovpogwEsDkuMydFounugV4mJtI4fC7CPS10hbqJxtw8+KMHqYoEWZfoKxWf307dCwl3kL/+i//Bf/6zP2PPdRv5/k9/ykB7J3PpBQm+vunOPfzdV3+MX1Vw2C8HmwTibbzhntv4/o8fxR9RmF5aYM/m63j00LO8au9OxsdSZAtJbti4ne/vf5J2TwhNd7BBJL6OjnHTbTfx5R98hzVdnUxNz5NVasQcMToTQfKFKr1tvVSNMqcOnSNtL0hZttftwud1Sa+61Yk+Qn4fEV9IAj37T5+kq1sASmVKuRquoIulZJ7uRIyqIdJ98yRcbRS0LAlfK2cmRmVgi80uqJ42GYqwvreXk2NT2IVM0WVIJq249doDTgbDLUzX0/LarlXB5YZaSac14CdJASNn4LAp3L59Iy+MTaKXKlLSGwy7yGSK9PeuYrmwiAcf1XqVUNRBPY8EblYHw5xOLjDSt5aDY+fQVRXdEOnYXdy9Y5h/PvaMBIrqC5pMMRWMroqgmNYFYGPD6VBY393JialpuuP9FJUFIu6IlOCuX72WarnM9OIys3NTkuFn4MIoaOwc2cBjh1+Q8yHo89ISa6FerPCFj3+C9/7JHzK1PEM04pcAoEiYfee1e/jas88R9YfY29/LDw+eIBTyMZvP4Y24KM4UCXWHeMvN9/Dln36fSFhc+xrXDWy4fF+I+KnpKku5Eg6vQrsvwNH5WeJOH53RICczSdaHYpe94kRQLjpuj5tnJsdkKFM5W8Ne1XGFXNRVTfa3agNv2ElvKMjZ2WV5rei6QcjloWJoON0O3rJpC187egAfXtwJhcWJDP/p1z5IOO7nN//or1nTHSet1Uim8/hiHt762tdx6OQxLlyawutU8IiYd9WgWK/jd7rxhh3YJ/PY+9sYPTtJjTrx1hDFVJm6SLX221F0uwQ0BYt43cgaTp48A4pdBnjYnUIObcfpdlJN1dBVDZvHhi5k0iJ7Q9zPHDZsgslXEanYXhm8I1jM5cWy9CIVDyxcbgdV8TdJPLAQthh1h2Sn2otuUs68BKQ/c++9PHLqPN/ef1iClWpZlXJdVTEYCXYR8geYys5Ihm53UCSdl5lS82wLdVF0uZiYmObaoU4eOXmBm/tXM63bWFqepegW/EAbr+se4oGTZ2VKtLgnOw2Dj3z41/nkP3xBKgaqhRpP/bS5nOVqXa3/E0oAdGuHR6iU//XSc7fHw/t/+xt85uP3SYBLyNBMuZdYCJrfrdXstf9byspUM5NzBWhigiRWQMHKUDFfbwxhaBaE0Cw0oVmwRqOH0yvdv/V9M1zATHA1U2mbMWbM83w5cMeaptrM/84KiFildo3MPVFiYS6YMGb6rrXM87WCbo1S55czrG/GMGw8hijrOVsDSsx+f90n/oQz//AMZcEY+VeWx27ja/2tHH7/939+PqIvzZASARKYHnONbLNGWbLZtsbABdOPrXG7xvnSLHjDehzrfGsss81mme1aaV/NAjoa27JS0MJKoInZtsbrr3HuXWkfVrl3s+vL+v3nY9j79/I6NUH8K3mcWfdr1krXluNLn+b6m96BVvvXewV77Ha2/uUz/M2X7/+5F52ZVCuOu9I92+rhZ97zRZnp1M2CHRq9Q1cKwVhJpm+9d5hjJcBVM7G78Ro27wNmCrVZZqiPWeL+ZjJHm91vXsm8+mXYd6JebvtGEP9KwNtKD3kaP2edn+ZrVgZp47xsPN9XEtTyKwX57nnnPWi6kP05cDrtEjjYObSGmVSKuVSKUItHelx16h4miiW5OBQG+avbW8lVq1QLGmW1SMIdItwVYSmdkj5KQpZTcWlsDfYznSszuDnCoLOP7z35HL/9vnv58rd+wHQxz/237eXhIy9y0/W7+V/feoL2tgDZhSr2eI2oN0oxmScQjjC9vMTO4QGmF/JUK3l+/a1vZuK8kJt6OTl2iXRS5c1vfC0njx5lMj3J8KoeBrffwoEnHmTvcA9feXof6VqFUrFCyBckny1I9sGm9etYXphnajFJIOBjdXuEs1NJOkNBUmpRgjNBh0K6XiWfr6K4DMlmEwCnYDboxSrTy3lUtYrDbcNpdwvbLFwe8Dp8MlwjFvGxVMqzprWd+WKGpXQBv93NpjUbOD15kVKtKFlXTt3O2++5nc9960d4Yj6ZRtzd20VpoUB3X5jjR8fR3DaZwuiNO7lzww6eOHIEj1+hnK/T1h6lkM5SVOWSnTfffScvHTjCxcIStUKd3kgLC6ksmqtOe6iTO27YzoPPP0nI7mAo0srBsUu0dHcytTRHBYPcfJadGwcZnV8ir5YEIZB4MMjAlhHOHjnKPTfu4eTxE5zNL2PXDfyKE93mZKS9g+emLvCWPXfR1eLh8w88B0YBm7BmrFS5Yc01PHrsWa7btIOQw8Hzp06wpbebF05e4Lp1W8hmFzDsCkv5PGWtImVmC5UCN3etZq6qM1ddkqDS2267hf/1zNOkS1WoXU4zJWSXjJmaCEK1a9jnHRRcZcmwigf8pMtl9IqBQ3zEY+AWzE1xIYj0S7GatuvYa4r0lDMqOve/8bVEFRfPHd3H2PyC9PKq1zV2jYj/4Gvk0ikchkKkPcTFuXn8Pg/rBgc4e3Zcylrz4ip168yOZyQIVHfotHsSuONutqzq4MJ8EX+tyJqNazl9ZhG1uIg/5mUhX8SjOtnZ18k/Hz4k/brE9Vkr1CRYKAJsBBDljDnQS4Zk5Lp1O4vpnGT5CJrO6+/aw5kXz6EoYPe50Nx1QpqbI/OTvPe+9+I0dD799S/JIAEBWip2pFG+3TCoKzolrcZdvbtZu30VL+zfR0Dxc3x2jDWtHUxmK8QCBqPn56U0UtU02b9vfv1r+ckz+0jn5umIxmjrH+L8+GnShQzXb9zFkRNHZHp1wWVguB2E7D1EK1mWyovcc+39fP3Rf2Hd6k7supPhVX3sP3qEctlGupLi+u27+L0/+Bh/+gcf4emLF4hGvbQqrSwZywyHVuFrDbG6R6R+B/jn734Hh9dNos3La/a8jvvvfx+/9QfvZ2lxBhdeOhMR9p+9yAff+C6+9uMfUlYLaHYbdZHAHHQSDDhZni9LRtVQb0J6v82nixSrNVoSLahqjkqmQnf3AOenztPd1kZXbx+T584znc5IYLczHuGfPvdtPvShNzGTruDxGaQyZTavGuDC4iT2ukJHogN30CCfqXHPjdfzwBOPY3eAze0ll0uzOJ9GUixtBqGEj4Svi+nKFPWSKuXVAs2JBr34/B5mkzkZAqKXauBwsH3VEKpHpyWRoJROM5/N4gn6sVXKMp36+OhFzp48x4YNazk/MUZPsJOOeIQiVcT/dw6fPY6/zU93MM6H3/Ub5Es2Pv/1f0BxGCzlU6wOJGTqd1Wrc237EE/Pn8VrV+gNxDizNI/H7qVULhIJ+6k5dFb39DIzO0MpW2Ogs5eNiTCFfImiTaWk1iSQujoWZWwpTalSIehyYeg2DtdnuCM+xIlLC7RFQ0T8HoSo9OGLp6jnL4PZH33nb/DNx39ATi3RF+qQD3tmtCXKBRU1V5OA1Tuu2Ylqs+NzKOTrFZ45fU5KWYMhH4pbYUffCM+eOUahVGZVJEpZET6MhnxoJa6/1mCcyaVFtKQm2XqlUkkCa9Kzzy663CFDPFx+B5VsjZZwjA2bruH5k09Iy4BQWwi7wyFDNDwRG/29HczOLqMVq6TddRmmIYDOYrKKLoI3NBuxljCZWoGwzU0qX5B+eALUFX8/hLw3XSxg0+ysam9lJrlMwBVBVfIUyyrXb9/G2NwoyUJZSrgF/b8sPDv9dn7nuhv468efpnWklcmDc7jjCuUFwSq0YfdfZk9XsxXJXBTgtq1uk+nD4qGBuId1OSPMZlKEIm4SngCnFxYlI94WU3h1bIDlqvDiG5e2GYW8yk3rNrL//Cmquo7XpfD9rz38q/jvy9W6Wv+f1EM/+SKvvvv9jPzaJ/F3DP7Sny/OXeTMF3+Hnzz4BUK/959/IQ1WLBgE4GdNZDQXBv83gnwC3LMCRNakRnOBaZUdmrKxRpDBWo0hBo2svkYfPrOs+7QCO1Ygsdn2jce1srTMMhfsje83gkHm69Y2NO6vEWSxLmhF/4iUTlFWQMgsa6LmlRbZjVLiRi/DZv3QCBw1W7ivBGBZ92VdVAvGlLjW/u49qxlq9/DL1oX5Cr/15TG+uKqFO5753ooL/ZUAgWbtEtV4HX7jC5/6BaCksV+sv4sy05IbAbfG4zXzs7MCbc0AviuBlebPAtgRrMbGagTpRJnXYCMLU+zHTF22HrtZe63zudEnrbGajY0AYpsB0s1Ao2asNms6tXk+YjvByhPz60O/9g46O1r5ZWt2bpG//+LX2Pj+6/jscxNN224C/OaDnJWqMbhDtPvlElzFOJqBPY3zrHEcrXPWGrphBf5MTz/reJvtX+mBwUosYvP+Yz7oMMfQrJd7EPGtVwD8rTT+jffmRuDZmkC80sOSZudnBcUbAVFzrBrn/L8G5PuVyXXtdhsuxSElQi6xwHc4uOWGndLLSXcJs2+Fde19OAJu3vyq3SiCDVGpM76UJJ0sSJ8uZ8BLtL2dNe19UrbYGWvD6wzwuu23EB9qo2NrkOmLSR47dpzf/Pfv46//5TvcsOdaIr4oF8ammV3O8pMnX8QmPMxUjdbeMP/jYw9Ilo/d72Uul8GtOIn6giSiXpYrea69+Q24fH7ue/tHqNqKpOvzPPHEk1y/ayuZVIqjp0/ymc9/nK3XXsuffenHjM/NS8++ulOnkMxQqVWoUue5owc5eekS+UqR4aFVuCp28NRxuV3ML5cp1g3SIo3R62b3unUMd3YRcXtwuxRpvj49n0azCeaEDV2zy2Rf3aZRFiEiDgH0OckbHso1TXoxLS4UZXKn4nAR8jhZk2jH5XJTLlcp1lS++qOHiUVDlBdLkuUxfmGSUO8AR46NS0m1XbfhiCns7hsko6pcs3ktHkNIlG1Ea36GQj0SkEhmVWanM3QNrKMrmpBeWKlynYq3zp71I5Ih0hqMkMpWyGTyUqvaM9BDzGmnPeHDKbJHbTYuzS3ymhuv42233cVb7341t15/LY5slZt2bKNQqtPZ28FAop1btt0k5Vg3dXdSK1ZpcYT4yYtP8bmfPoiNLFtG1lDOaxLorDtLtPqDlJayHDl5Br/dxr5zo+wdXMv5mVF0f1BKkIV3k2qvUdZr3Nw9IPu4mi9QKJaIuYJ88ZFHWF4sykTLeqFGvlQlPyukuSq1ooqxaJOgm91QcJdFIqmNa7dsxea1UQ8i5bKqOHNBFq1qBL0e/DUXfV0JXMJrCwNHsYJetzNVSuL3hKnV6oRiAeyGj/PpCZkG2j88yNTyMplUkYji4ckDR5hOJTk3kyRHmWQqJwE+b4db+qpljSxLcymOnr1EcX4Bn9/B1HyJi9OnUT1hzs0mcda9fOZ//jMPXryA0LzbnAaV5RqOsBPdabvsK+ZTaPWFibdFSM/lyRg1GZIgIL6eeJynXzpMNOzH7RTgax2jYjC9mGJdrJXnnnuer3/3ASIhD4mQC92ns2t4Kx5PgN54hJDip8XwU/bX+Pq/PMDo/CwVrURACTGWTeFV7JRLNhwOJ6oAoIJ+qoZOoVqWY3TXjs0sl6pEvR4Mzc7rbr0HLS1c9mokon6Uqobdbkcvz3FidoJsts4Dz/8Qt0fh4tg8F5cmODJzntlcFn/cRos3wVOH9nPjjbeQrtRkaI9RU1iqZgj7wxyauMDzhw/xhW88zJe+9h3JqIslXLgLXn7y5E944WtfJu6OE3NFUPwK64Z3kGgJ8uTppynXc0QiXmItfrwJN2pdI+bvxOFR8LV4mFxIcWpyiXXrh6iWq2TTi2QLVaounVq9LH36yuUyzz79IpcWUjhF4qoIXHHZ+chvvpeuvnUyqCW5VGZNZz+HL52TqcAisbhczZNaKuF0ljl64pwEoRLxMBPTs9hVhe6eDsnwEtenJiS6jixuMTMrusAfUeIOiqqGaq+zaVU/O3p7icVDdERacflszC9nGBu/wMmpCWaTy7QlYlyYmOWnT7zA8WOnKdQrXBifIJMv09sfYf/RY+QyBf7qr/+OusPOr7/2DVyYWeBz//Ql/vCv/phavcD47AK//4YPMdzawhs2r0dzG7y0cAFFpLI67ZyamkUrCy/TIoFWL3gE61RnfmEW3Da+8Efvpa5XWCpleHzukvQ79bncVKoal+aSpPNF/G4PI92dQozPPZ3r8LhFiIiPtniQbF4wD3V8upO2vhiJRIivPv1dyUzMJEucmrvEeHmO7JyQZdcYWd2G06mgKHa8QlYqgj4UB3aXg1ypIi0mps8s8fiJYzicGgOBCBeWkhTKFckytFd0QjUXC5mknHei3zNLWaqZGj3hbhG0zXWbRi4zhP0OeS+xue04gjovnnhCJvOKBORgRSFfyFOsFSkWVKKqzs7hzZSdBtWFikyRLxVEcIdgZ8KN1+wklc3h8SjkbBUCCR+KTA/XKVYrFPSKZCi6AgpztQyusJOckSZvqKilOudmzlEu16QVQLmk0up0X5YEqxpVke6eqzF2dIpA1Mmbbtot2ymzfD0K9bIqQ0V0xcBh2HG7FWzCtUKEgzgUKlWVgMfL9d2DBN0Bbu4f4K6BEfqqLeyfm6bH6+W1W9dRpI7f5eCl86fR6zpOzUZNxBFfrav1f3C1tW+V3wXAF+zb8Et/WYFBsRgxQSyxADAXgmYio3VRILZ9uSTH/9PKXFCZ0laTCSFeF8wlK8BnyqasC1pz4dVolG96Jln33Ww7azUDWUxpWzNgyro/U55qLpgbAZ4refY1LkpN6ZhVbmd9r5HFZz0fs/+eeP8q+d0MKTAX+lcC+Bold6YfXqNk0uotZfXDsvqUmUb25ufMr2b9/nMPuyuEEgiAb2Ov/5f+sgKDZl+annhWPzfr+VmBwGbAamNJb7CfSUMbAaaVQEUBejRKo62yZbNMkMDq7WfdnylFNLcxx/vnIKAl9dPa/lPL1/z89cZxN/vC3K8JjpnyWeu25nlcSZbYCHZcCSheaRsrOGS2z/xcM09Dsy/N+SnOwdy3eU8Rv//H7/+T/FkAfP19Pb/0lwkM/vV97/vf2K1mGxtZcK+0rKEYjWWVmJvjYp5zs3FaiTUtgLdG0MrsH3M/JsBnvmbtZ+u1Y73eTZasKNH34j3TS7HZfbjZAwZbk6CPxjLv7Y2vmWW1E7BuZwJ81vtr4/3p8N89xdz+8abHtZ6/KfcVD6fEvdHqf/ivlev+ykC+v/j9P0JVdWkW39PWzvbVw5wbTZGv1qRRuEuxcykzT8EO3316H4GgVzKIHIKFE4pQKNUkC0i1lZgbH8Vjc9HT3sKr77yWjlgIR6WINqHR3hYnU1vgoWef4+6tN5FaKPEHv/frOHwB3nbrPZSyRTxCrhVto5As8MlP/TucVRu+kJ+RznZcQTvHxy/R2dLNLZt28Pkv/Cm37Brk9//9h7hr1x10R7txeg3Onz/HXddcx8JSmXy2yuc+/yVq9hqvve5WMvMFSgtFCrWKBGtywny/qNEeDhEPe3nihf0cyc3iqHo4N79Id2uYWMgnk3NbIn7Op2ZItMeJtgW5bdtWbA47Yb9XWBvJRbjwNSrWytg9Bn3RBHHcLOkF9GoKtVjj9Nw0u7YPU62JxMg6By6e41I2hZ6v0tXbzpp4BzWnYIQo9A22EXP7JYNnfPQo7rodu03H0SqM2G08efwczx44TCpXZSqZYXVPOwdmRzlbmKeSF6b3NY6l5iiNXeLc+LRk7oX9DgLYOH7xEv6oxo8eeZz2liA7rtnJicwC1YzGhu1b6Qz24PS7pO/XwnKerz72KN996TEePPwcLx4+xhP7D/DTE2PgdPGh3/k4xazOjTdtJuqPSmCwLezFF/SRTxYJKV7pobi0PI2SVxmbTZJczLKhq5+5uorP7WJmKUvQ72XJViKVzZLJzrFxeDV5rUB1VqPd5+c//tl/xutz0t8e4a7+Eba1tTLsivGq7TvpifZJdsrr7r2NbQPtrAp28f43vwYtbODwOumIxlmzsYdCSeXi+DkJegnvvUDEj8NusCoc49VrN3BNSx9BfwCtpKGoCut7B3CHWnjwmR9jz4qg5Qq9nV0MRweYSI5x//bXcj6VJJWdpS3eTlsswFQ1ia8tIEMHXF47pcUqWtmG4nRTmq9jUxWCoSgt0QB7r72J6/buxAh1odnhhl176ehqZ3XvWvbsvoZ/+IdPsnt4O1u3bydgcxOKe6UXnC4AHoeNR775GL9z51tJzaYRpoKVpSLZYlkyQhczGcrFGmPJBTxuL+cX5qV8OFUqcXh0ho1Dq9k62CtlhclUmQ+/9g1Ul+dYmJ7n5PI8Ra3EUq7AvhPHKSo1KhWd2XyB2ew8qaUss7k5Lgm/OIeON6SwLMAqe0kmSE8UFvjnZ/axkF7ErmlkS3kee/IpTi+dYcea7Rw/PSf96oyFKi5HmHZflNXxVimBDNk9OAIuUJ2MX5jlzmtvJKC08rkvfYO7rr2ZZ599kQsLM3StiuCJQkB3QAEG1wzjcjhxeTxSUi/YQjNTBXZcvw5H3cl3jz5HqZImp6q4HX4Ojh2nmivjsjtpCQRYSuZY3bpKMqg0zWA5NyP9O2/dczPVqgaKztKFRWw2BZfdQbkkABYbFyYvoS6pzC2nMWw6TreNcllFK9UZm0uyflMfPtXGulVtaHqd0alRFM1GPltkqZanrpQYWt9Fvljizffegk6dxVSRcNTL3ut3EfHZSbT66O4Unm523nLr62gNxhgY6mRooE36pq7p7SPiidC2qp0b79zLu+9/He991z0E4gF2rVtHqqRSLFWkLP3g84dY3S8SrF209bUQdfiwFQ3CuosnHz/I+i1DxPwJ9t57E7aqwSf+8asSmBlfniOQ8DK3WGDXwCCf+N7f86bfej/fOHmcWlWXgNgb1m1AWRSMWCEVVSRj06HaKJQq+L0Okot5svMFPvmtH9Mb9fP0+TFavH7StTLpYlmCZC3xIAW1ysnZeU7PLhMPBFFVQzLMRXiICIvIFEvyXIRsvNUXoyMaJpMpsHNwtQTyxQMrIXm1iT+TThszuYK0VhD+em6fnbGZpJSYL2YLoNhYnslghBWKpQKLc2WqkiUr5LF2Al4noYBPgoS//Zsfk+xvcV80BFnSr5ArJ6Wf54snzlKrqAyFW9m2ZpUMzpifylIt1vErbtw1G3OlnPzL7fQ68bT4efTYRZaS85RKIi1XoZ6RYl462kJcu3knF2fOctO2EWk94HFdZtiu72yVQCp2Rc4x4Qm4bWCAjpa4lP0K+W2bSO7128iWqrx9+1beuHYD7b4Qp6eTxHxuioUq//WBJ2QQkfhbs3nNtXzjwRcYHl4jQTw9WccbckmGr4D9WhJBKvk6Hqcbl82JqyR8XUs4HDZOjk1TqBYI+DycX55n08hGWjwRji7NXk4JFtdO/XKYh9vpkMcTrMKrdbWuFsx9+KOyG8zFxssBd82YRM888wz33HMPnZ2dMqH8Bz/4wS/dtX/4h3/I8PDwL7x29uxZub/3vOc9v/D6l7/8ZRlAJh5svVyJbSORyz6ozcpkkzQGMjSa3Juvi7ICClZwyQp8CZBELLbMdNhmiz8rSNCsTPBF7MsKQDSCLaLEMUwQrxGAM3+3+p+ZII51IS4ASat/mgB7JbhoCZ4Qi17T+N4KPJogh/kl+u1jH39RslVMKbKVyWj1njL3Y/XvswY+WBfuJnBkslXM8xEl2mVdRFtla1ZvtZU8usx9Wb0Wpbffs82TO3/Z+tRtQz9vszWduBFsEONgBffMeSBe2/2O93LD2Rn5Ja4N8eVNBH7OWLICbtYygShrP5w8eR73p57k7F8+zODQrewe2MuqCwr3fPxj/9u8NYMwrGPYbNwEsGsNpZBz6mfgY2NZ2XcrAdgrlTmfxQOIK4G2Zjutr1nBKLNvzDluAjYmIGkFyszAFDOJ2doHjccyf7b2t9l34vo1QxJE+93tl+/Bv6oHP9Y+sv4svsyHM+K+J4C2xvv9tScnuD/h4U2j89w6Osv1/+k4n/rJrLQIaizzQUAjK1L8fuqr+3nxvzxET++N8vs9F+b445kk+//rZnlMK7Bmzt1GNpsVAG82Fxo9AsU2JrjVzI/RHEert6N5rMZ7T9/PrhcBmpn7XOm+YYZfmPuy9o+4X1rltdb7sLmNtW0mE9qslmD4F45nfl7sy/p3wMo8/2USdP9fkev+yz//LSKLdM3qbgKuGEvZZdb0rebbTz4jJaRCa27Y7NL/qbWljaXlRXLFgpT1tYfCpDIFumIRFCFN1Ypo9Qo+V0RKyB567lk29vZw7PyUDLrYMtTPyLq1OGw2jp0YY+r/Ye8voCSr7r1/+FPu3u4y3T3uPswMMHjwIAkSggRCIEaIkhCDuBBCSIIGgktwn4ERGGHcrWfarbqry93etfdw5hZFDze5D89z3/9a/GbNqq6qU0f22WdX7e/5ylAfbp2W1zfsx11iQqPLEc5lKHE7qbA5SEeT2MstdHaMSFaMCGE0mzUM+sMktEmWNEygvNzKc6vWy4l5o9tFQ00tllIrLyxfR0Wlk+kV45jYWIXR7GbHgU72DHXQ3dkpAarPTp/CQF5FIh3EoHHT2d1FNB+j1VPNcDRKNh6lpr6EfUP92HHRHxihubyE4ZBfggPx0Tht08fz/vYdRIJRdIKupcpSW11GT68Xi8ckUymFxOqEE2azctVGNNIjTYfZ5SKdiTPqi2DRWIinIhgdOjQmIx6NDk3cSm2DjXWH2qnSqRiOCZmTi9HoMPk0UhamEsyMaEqyM5obS+no82G36PC4bfQcDmCrtJAOJ4gkMpLtUed2g0gX7ekVWBFOjwVNQo+9xszdv3yIsy/8DCanGpVWTzAWk4wPVTYnJXO5XFZO0NLJnFAEksvn+MLZp6LPwzvbtkhAuKVxBq7kEIlkjhf37pUSWbfHKKW3Qs47HAmzuGQcfdowbSW17DncTWNlDZ2jozhtItUTOkNeKVO+6eKLaKqfw0/v/jn33H1EenD+1WdwSm0TGq1aGti/f3iAqXMmsm/zHvzZJBMqGtnYtQ+T0UYmGafS7cTqtLK7sxeHSYNZbyaTSTGxeZKUDk9pnsqdD98vE3ynlVWQTmVRO0ykfEHpBZYIJqmpEwEIdiY1NPD6e+9RVeah3uphMBaVcrg3Vr6NzWVl3uQZPLdllQS9zQ4ToZ4wFS4HyRjUNjvYs6+HihIn3Ye9qM1qZtTXoTJpUJsMGDM69hw6hNGuZcnMFny9ceI2GOj3U2ps4VBoCwajTkqFB7qDGKoMzChr4pfXfo2gx0bvzh7WrNrKip2v0WB3yr55MOjnzDmL6D/cyff+8BfO/eqZUmYY9qWwNukglKVS58RLCIvFhL8/TpndjNmpwxeKSIbQMw+9xreuu5xwPI7HYcFiM0rPuv2JYVSDIoBERcOERpL+KOVmo5Q+WivrOXhwF75oiPKSKubPms6q99aR9ceIm7JUNrbhGx5myqwprHjtFaKxDA6rnhKLh5bxzWzYvpmpk2bw3qZ1TG1rJWpswbt/BbWVpVQ4GgiGhtjefkCycK16E5897TM8+PhTuJx2ouEkKruGVDCJSjAx41kmjG9Gk8rQ7xsmIaT3JSUsm1PH9t1+RqKjOMwmer0+WhvGEQykcJarOdDTQ727kt3thzGUGTFrDPiHw1hyRmw1FkaDYUwlGsLdSXEhSFBLZ9FAVET+CDwqKwZoZrVMoKbOzturdzFtahvvbtsCepGKLZhtKmwGNV/57JU89c5L5NVGfvzFL/H9P/6awYCP0tJyctkkzbXV9PeNEk4n8IcjMiU6Hk5JMEvIzkXAgbvETKneSlCTQJ/UkDbnCY5EJdtKsF/VNh0IsCWdw54X5zBNMpXF1eBi7vgpvPDOO2j0Gurd1Wj0Kqa2TOC5d17HltVL9mA0m2bR3DYO9A5RpjHhjyVwW0zs6xOhC03s9nWTCyRwe6ySKR3yJuSP37w6h86oxV3hIB/P4BuKyHFjotslQ5qyRi05qwqCMHdcHZFIUjKOE7kMb7e301pVgjcW5aS6Vg6FRsnrc3j9cRmEJMDB9oiPRlcDXb09WE1qJlbVEIrF2bSrg0XTW+gOjtDnC5BJ55nVWsvGjp4j+yX8OAUZNi38N4XhnVqex2uuvJT7//EImoyK6koHHf2jqHUivVvcwIEzFpzA2u0bCcVijGtpo7v7EAZ03HDZxfzivgdlAJBEzgQnTng6atS4yyyER+Oo3Trw5zDb1DINPWs3kPHHcZmtDA76UOm12DVGjCVW7OgxumyM+gKMbx3Pu5vfk0nBQhpsL7UQHomhNWhIRTMyeKWkzInfH5BS26a6Mvq8AYxmrQQaM5o8l06Zyp5+6Ejuxx+KEx1NSTCvpsROKJOSibpOkxF7VkttpY3lGw+jNmkZV9fCgUN7OXvKJN7Zd0j2a5FgLcbeUoOZjCpP99AwZ7aO5+Y77+MHP7kOTRb8wRDRWEymlYuQjTKThYFYTJ57AeSWWCz888EXPomfL5/Wp/W/UiI4Y9asWcz+4UuSmfefVrhrF5tuO4vNmzczc+bMo8wKMWG5/XsL/ltQrFD29dprr/Hee+/J/Tn//PN57rnnOPfcc/+j/XnjjTc47bTTGBgYoKKi4si+/PWv/PKXv5SM+07xm/mDuuKKK+TzVatW/Vsg3ze+8Q0CgcCYx6LUWN5ZheDb4ZMv5rsXTpXjt1KKHGwsD7BiVomy3rG8phSGTzEb5ONkYmPJMRW/v2JPusLjGkteqVThugToUQjOKMw4pcaaSI4FrIwloy1evnjyPJbcU2mfsaSDhdspZm0Vng/F926s7RVuq1ieLII1hJzyte9NlMy8/7R2dkc5/Vd75LX63LXOj7DyxH4JAK1Yqj1WPXvaKdzz1HtMu+kRvvu3s+Vrgivq1P5XKEqxvFbxfCz0G7xmWgX7n9mCs6mUWxNZqnVafnZ8E5Of38lbFVZeyGk+tLwoMeX/9gVTZLjZvxO+UQyuFUtoi73FlPZW2kA534XhA+J1Reao1FjszMJtF0salXUL0E6w0ApltMWSemWfPk4mWihp/zifSgVIEkCoGG+V8UAEZ+y8by23/fAmycz7T6ujq4cf3vYH2T9/pqv/WO84RborjrfQ71Lx41t1+Vf48W0/4fmnn8PtirHjwe/zzQcOc22JnZs3vTzmWDNWX7uxa5j+8eXUHt/Cj17aww8XN9D55l7ZdyZ/cf6YbTiWBLW4jS/4220ss/346Pn/uD5YaB+g+BN+nDy3eAw4XDTmK+sZaxuFf3/cd8lYYGDhcsqxKH2845dvYjyxhcp5jR9qC2VZxTqiuI7VluL5v2u38Ykx+aLhDFv3H+bp17bx0PMvs3LHQe55+XVeXbuG9p4DtFY3sOXAdtbu3sa+PVt4ccUqNu3dzoatm3ly9Zts6trG85tW0lBqor9jgLe3bCIYDzM44uOGSz/H3sOj9MaGWDBtHPv6evjVPx9i5qx5OIxq8tkYm4f6SSTDxLQJ1CYLpQY3I0MjDA0HROYiO3d2S8mfLxuh2uHAqFKjiaqo05dy0NtHdXkFaoMGu92FP5XHF0vw/tbtEoB0q93s7OvhxAuuY39fN/t7djEcGiKZydJQXYZfp8dmyhOJZ+ge7ieVSVNuK0GrTTGj2k31pEYSaj3qVI5YLsbscc1kclr0OQt6lYmsTcvJM6fQWFLB+WcsI6/LSq+0qy68iHQ6TcAbISv0oOkc76zYSIVHMKfycpLXUtWMx+LCVWqlwm5HJyaBwTw2GfKRIeeJcaDfS1tZKR2+DBq7nmjaL0G2XD7LJWdfgCqfxl1h5kffvJxD/SNyoi58zoSnlLPaRNKWJGdSoTOqUKXy9A8F6AwPyQloa00D1SUleKNB9u7p4TOXn0Y0lWBkJIpvMCRTHdU6lWRjSGmoWkxOBaMpj0p4L+XUbDrcjttTTyiS5vIvXMre9nW8sE9IEQ1YS81obXoCsRSfnT2X4VACj8XKvvSwlM5u7NjPCQvmsK1rD9Vl5TSUNzB31kJKLDZ5UT/4zEv86I+3Mnv6BEa6DtK1dy/xbJqnN+3lxb37eG77Pvo1YVJ5Fe7mchbMm4u6VE2TpxKjVo/VYCZAlBa3m4WTxhPLZml0ljFj2mT8wyM0lLr401/uk2w7Mc/fMzhIMJ1gKBRG6zZgMuqpG1/JnGnzaakrZ8O+ndjcRkxOG9uHOxlIeDk40E5VRQXNtVU8sWU1yWCaZlelDNRY2Nokwwgayi2E/EJmmceXTVBe5cFiNRPJhRnwjhAO+9jcvZ8JzZVUG6tYsXovHSE/V5/7JYLJIId8W8hGM7gyJgaGA5j0avQ5NZ1d3Zz/k2/zpeuv58d33s4bu18mGUqxd3AEs16Px2SSgTmxXIo//fzrqMMwwVPK8VPH4fAZsKsthCJx9Dk9poiGplI3TouJ6Y2tVLhcZDUafvCtG+nPhzA69IRSSWw2KzmjVsqSI9oMGYeWnrCQE9qI5fUEcyk27VhHz+gI0USKvlAPvUNdhKIBuhOjjIYimJIx4n4fa958i3PmH8fEukoqSuwMhX34u3s5ce5stm3dzMzWRvz9I+xd+zyB0TAH+vsYGe3lzFNPk6zjuTVtuM1OHnntOQnExCJJMsJDLZSktrKKXFj4pKnpPNAtJcXk1Hz5siupq/OwZW8AnV5DOJsjJQI11Gr2dXTgSwwwcMjLnMZZbN28X7K1kp0JRg74+ezJS4lnk4yIc2AwU+cqxWG3oM4IhhVHJPNmkTAqogdEadiyfz8dPQEmTZnCu9u3kxcIoADowxl0dh1nHHcKv7r/7+hzKgL+YZ55+jlymrQMp4km4zKIxt8fJZaKU6p3YcoacdhMaDU6zFqTZHi1NFeRUKvImZ0MesP0BIL09wSJCFZYJi9DHrLRFOakFpvBhKnCSs6qw+Ay4rTb2bJ/l5QHC+DcrtXjcVt4Z8d7mLVGqkvdxMmgtevYs2+AEW+I3QODDPj96LVqpjVVocvHyPmTNDZUEIgnUMW1qESYBHmWTZ/HNWedhCqZwaqzSimoAHkMVgt5g4GDA6Mcbvfht2QJx5PYLUa88TD9/iBGo1aGSpQZ7ez0DmDR6DGm9TS5ncwsL8c/msSZNDIc7aOk3IzdZmNwOCDl8zMnN8rU4xF/jKxOw7JJrdR73JzS2iYZtiKlOJsVqTUqmTArqXjZHL3vvkdZuU36cWpUKhnmoTaAxqwVAyArtrzLjIlt8sf2wKAfm03HrOZp/OLeB1B9kEwt757kVRhdRjTGI6xPEzYpGxZBGVGNFn3WDJEkTosBTalV2jKcPLWZjFtFIBWgxKZm535xkyTO6i1rOGPCOE6e0Ia7ycnoQFgyEsW1LhjJovNFslH5aLbraW8fYPG4ClQjOeqsdmrNVnl823q2ShDVbRbSpbxkAYpU4hqTDYdKy0gwTHcmzPaBERy1ZgnWdXoPUlPi4mAgwIKWZqw5PaUaK+pcTnoaCuDZU2pn+UAnl1x3FiO+ABMW1HPXnY8TTWWI5zKSwRfTaJlodzDOYGOS2U00mfykfr58Wp/W/0p5n778E1uXmHCKiZ+YaCiyLoXxUSirKpbzKnX66adz2223cd555/2P9+G4445Dp9OxcuXKo6+Jv2+44QZGR0c/BPKJ10844QT59x/+8AemTJmCxWLB4DBxnrjh+b1Tji535ZVXEgwGj7KefvKTn8j3kskkU4YcHPzlG2z79RtMXHoj69ZtPToh2/ClLzBp8umcdPPXOfHEyzixfYhkMP6hSZZgqynsDFFiwqWABKI9CyfYhZJIhZmiyNIKJ4CFzJ+PK4WJpzDPxDoK0ysLgYpCOXIhuDTW5PjosgUAnwD8xPqEz57Yhngci31YyOQbK9yh8G9Frlp4LIXrFJPcwgmyMgEvTP0cS65beH4KwQcBFimMoUIGl8LYKWRjCvCnUGapsF3/T+v6R66SgJ7Yljh+ZZ8VVl+xpG+sNn56yxry2QGevCjJhqv/hUer+QjAV/xZJRlUkSzedO4kBp/ZynEmAztWPMtTX5xLlV7L39Z203XDYh4RvyOA5/d8QzKxDn//G1zV4eWE/f2Euv3c/uR2qu9azfHdw6z/xRvs+sd6Iv1HQHTRlsFOn2RvXTO9gis6huQy3kf2cDgpJqNHKhmI85Pqet7/7VssOTTIySNBubxoA2V8EW0l+ppYpwDIiq8LBTT7OCZfMcihgD5iO4ofoDLmFV+HynqOBYqL8yTWJfqvwrAaS8IuxkzRn8V4Ic6FcnPhWAze/2l9Z+S/GMuF8uHCEsei3FRQxh4B2PX9da58f+3atbjaynHefB25q7/Jdfe2M9dsYG8i9SGWq+LtWQxWKX35cJlVKj7+9Np+SrQa/rauh4rZ9UQHQ0eXzefytL+0ky1/XilZg0OP7mJgw3+N86Kq9+bZ9+RmPl9hZnrTUrbdvVru9x2fuRrjHStZ2jHE+79dLpdJBD4aQiX6iALMvfnmu2z9yyrJWmX5ICf/+Ajb8NYnth1JJH76VU470M/VU8vlmL/0wADfemwrP3piG1W7c9TftJUNv3yDvY9tJO6LHt1Gz6qDBJ89eBScl0m7s89kwcILjyZEf/Om27n6mu/Tv+4wm/74No1tJ/K1qadJ0FKUWM7y2F+xrA2y/pdv8PtfL+Pk+9bL987eNiCPoxDcU75nlPGwsC+NBZAq//8T6e4nBvKt2vo+oUSMgx37CJNmal0Tvr4eZjW20jcc5uE3XpBf/iL5ddPBLsnoEt5qYhLZZC6XyYXZvJaX1r7HhsE9GLImrrjyG5SUWqidvJRAZpDx1XUMjQimmx5dWs+K197g5dVb5cQxqUpTVl5HpaMUh9NNwpCgpqKCUC6Gp7acOXXNqIx64iMpgrkg4YwgXSRkku0F3ziP9Vv2UGl1ojVDzpAjZ1ARjmdRGwyUVlk4bf5cLvnixRiNUF/rRq3XYHAa0GpzaPU59vcO0+/1E/f5aamrRKXSkUznJEhh9IcIeEWoR5xYNEc4msQXGkDjaeHgSC92K/zikX/ypQsu5e31azlpynxKSx1UuLR89vTjmVhbz/zJjRIsM5j0+PwDcuJn0MLug9sJhkew5fV0eAdkmEZEJxJ4E2h1KvJhNdPqKhnwB2h2lQitKJFIDLQi/VPFqvWrpMfUaCDB7fc9gjZnkp5HYnLmSyY5eepsMhGkAXwqLhg1OsleGzdhIuPr6zg40ENNeT05kUirUpGJ5STDTIAhgjHicJnJpfKyvfLZLNlUHo3g5uVUpMNp0OXZv7eDO9/8B6PEaTElCSazLJ45nXd7u8kF87jMOnQpNS+v24ZBk2e6pxqH2sE+b78MaYgmBcCmJ5uL0FJXypP/eo74aIxldY3MqathcnkZr67fwBW33cB1f/gap0xcxAUnns5nFp1KpcfCmc1zCYXCqIbihN/dSpm7RrKfAqlRke/MyFCQ1zfvZc2WPZjUWjq9A/S0DxGI+bn7lVfR1mpYOnE8FpWBrAEOeYc4PNjLtvY+ErEk8ViEoa5eYpEsZ5w+j2A0QXBoGI1OxbIZx1HraWJL72H8vjxOvZqWhjpGEn7igQTrO9o5bmELu3uHmTm5hRMbm5lcVk1enWL2pMmYjWbqSurJJvScvfh4XJVNqAWw6LaQSav54vdvYsgbYXzzNC46//NkTR5yoTzxbBZHwsS3b/gmC2bN5KITP8Np848nMBwl7kqT1WUlo0jISSPqGAeHh3h9316saiN9oTAHfYPkrOAqdXPKolmkQ2k8pSUMZ0Oce95neX/vLnQaM5l4lvcH97Bg6ky80bAEogYGfCR8UcaZSompMjToaxgeHaJMr8KYi+MLh6i2ODCpjWTsKmbXziQb0qA12TDZjFIaWV3diD8RJpNPs3P3Lrr6vSSSMHvKbLQOJ/6g8Dy0kzPocJe7OGnePCxGA9ef+xnaUnkOH+qk3FOKp7KKMxYuk8CKYB0KBpnwEBP91ds/KP0KLQ4DM+fPpK12HDNnjOfxt19gMBAil0jT4xvAbTATi0bBouL6s+azuG0uA5EAq7avxWg2cMaJSyifWYrRqafK5uaBu+6WoFBek6SvK8aZC2eQz4qIGiTIqBO+ZR+kHms1YkGIj4SwqjV4SkqwlZlQB/LUlLuY6Khk9979tFbWcqBvUKZyWzwllJsdzBw/FTdmVCo1PdFh4uQYSY/iqXLh7Q2TyabJatI4bHY6hofJpNJ0DnWjTgt8KSdl7QabyElXo7fqcKInnUzJcd474iOWTxCMRzl8oIc+4f+Y1UpGoNZsZHDAx7y2ySycPZ2y+iqmNbWRi6b53s3fkO0rpJcao449PcO09/s4OBqQtgUdHV5Umbz0q9OrVRjtenYdOMCza9dRb2ygo6uf2koHU5tqJQPPatIyb1IdjW4nk/RumaAdS6XYGvDSHQ9LH82+kRB6rQq7ziLtDQThLpZI44+kGVfjwm2ykolrcBmchKPpI2OWNovDpSdFinAuJcG1d/YflGE0IjRIAJAnTW2jqtQpwTrBHhY3icSOv9HVJe0JprVW4zKZJXtchYp0NEMumqWxuootew7I8TeWHCYdyRNJ9UjQbWKtuLaFPDWHxqyWrFFnuYVARCRdC1ZpjmQ0Rbw/SDgWIuFPUumpY3BnPydObSafyRMdjsobBRaVTu6PkCdnUjkZfiF8M0cP+qkssUs7AXFnor7UQ2vTOJkKntepjjBZdWre2tnN4oVNMhhKFcuxobOPpZNaUBmEJBkJdKrEtWizUeowYlbpmOIpo62knkQ2Q0naiKVMT5ujDIteTywUZyQQlWzt+koXJrWeTDKLSaVDm8/J8/37ay/hnj//nbWvb6V370q5rJClizYZ57LiKXNSVu3GU2GnToDun9an9f/h6n9i+BNbl5hUC/ZeIYNJudv/cZK5/6QEuNbQcMSjbawSIN2cOXN45513jr4mQLply5axaNGio68fPnxYJgsrIJ9g+d155508VGHj4b//ii2xJFV/X3tEhvblS2k4ZQJ2u10yBMX/1xJrJXB55RcvYMvmXZRfOoc3lz+GuznB5V+4mY6OHrle32//SjyeQP/SLn7zm+8y5dqF6CyGj4ABhZMmAYApYNRXHF//iB+cAP7GmmgVAwMCEPjvgD5lgl7so1fIJCpchzJBH2uSJ0A8ATopElyllPUvTT92FIwqfByrFFmp0jZjbU8soyT0KoyVws8Ue4gVApXF7D6lCgMVimV84j2F7VIo/SsELQrfE+CPAsB9XDjD/0Suq8i/RRsqIFUhMKccq/J3oTeeqJN3D5EYjUnA45HfncBP+0cZTAuz2iMl1lnz1vuc1bbs6DqLK3BomEA2h//C6UePWynRvmuuelb+/eWVh+XjT6/9PteX2Xm0qZwnvv1j7h4OsjIcZ9w5U5n6pYUYXWb2PLqJdDz1oXOS+Nd2bixz8I/aEhqbqrklo+GWr78jlzE+sE4SLV578T4ery3hJ0a9ZOmL94S/oNinBSMDR4FZBTwS+7eupPIj5+XjPNOU60/xCizsC8XXSCE4poBYymMxC0s8F9d8IatwrBLHI5YZSz77f6MUL8PC/lQoQVaOXenvSnsIoGnhwoWEOnzceGKzfO0fjeXsiKeYb/kvX8n7h0Nc0D74b30/KP0hlM3h2zPI/Ebz0fYTv38NNiOtn53BxOuWoJ7qYvCtfawIxY4us+rATgkaz3U3UXP1QsZfPEtiBsefeQVmtYpJV8znrVcekASjvY9tku8pbVDYvgl/jGuu/YEEMCdcNY9Tuzo5/MwtR98XYNndq14mqYL+tYe5KRVl+pePw6VV84sBP6+ufldue/KVC+R8a+Te9/jlU9uPfr7TN3T0eJW+Go4cAUOV/rRi1Xq5H5Mun8vtHhuvBWMsfWDD0XNw07d+Qee7G3n+mbv5i9PKc4Eo/g+ORykF8C7su4U3egqtFZRzWvj/466T/2sgX16jY3AwyGmLF+D3+YgFRxmMB/FGAwi/dxFOIMCjYDrOlJoyjA6jZM5YG8z06EJEQwnSJXpWrN+DDj1mtYGrbryYx95cyeeuvZDTFh1HXyCIxW3BlDZw/SWX4ShvoKG5kfEtNWQiab57/bn8+pYfcOdtf2JWzST8kQy/vOkW9GE9O0a81NtqmDN1BsFUkotPPPnI5HcowKO/eZzBYID+aJB4OMFkTzNd/QPMmjsdtxEG/MOc97kv89g/fo1FeO7tOEg6liMZzqDV6DlwuBtDRosulUPrtHLA241dk2NybQPRZIbDPV6ceRttLhflqgz9vd0YDRoC3m3ksxkpva20W6huKienVnHSkhlce/F5rFi1GZveSHNNNcvmnsYpSxbg8BhxlXikt1oypcKldjBv1lTctnJK7Q5KnQ4sJUIuaSaeTtNW42bV9r0EQ1G8uShVqnLG1ZRTUVaC1ainT6QNT2iT4kCRLJtXJ1g2faoEAjPhDM/uWIs5r5VJv+YSPZFQnNrKGgYOHcZsNqOza9Bms5ItI2bPgr2Si+ZlSqTaqJJ+hblkjnwqf4SZI2yxcsLsPye9sIxlen70vR+gimkRN7K+ecejnLVwGTpPuQSZNCK0ImeVEuRJs9o4obkFdT7HrMkTaC2tJRxKUWIXHmqwf6SbDR09lJVa0Ju1bBv1Y2yqJZlMc1xZPfPs1Vwy+wxKXSXobG6hs6OttI10Ns+OLbtJqTPstadZ+c5KrEYj8UCKZD7F5OaJlOmN0sswHktRWu5hX6yPwVgIq04njy0UFKnHbrQpDRNb6zhp6nziZDFXmMiJdsnpCEZHeOuN9VRb7cRF2IM/Jv28Hnv7ZRrLGgjog2hcNnpD/fiGw6jTahoqa3hxxS7cRj3L169h20gPHf19lLkd+IKDVJbX09I2nkWzZ5MIhalze2ibUsOMOUs56/hTmVpdz6UnnklbbRlDPb0017g49+QTOO24xZx+/PHs2LYdp9aFwW5kXEs1t37ter59yXXceNmVLLvwPK6+5iq+cenl3HDl5zhryTImTB5H89Q2WqdOpaaugpQ6ypbeQ7ROqMNV7mbZghMxqmLEchka2yZx4oLjWDBxOm11rfijSTQlDjb297BjoAdfLkKbsYw9gcNSqiD6oMlkplGA0XlwWs1MdtYyNNzLe+1b8IYHaSlrYnptI5t3buHcE0+RQNFhXUKC3qfOms2+zr3s6TzIqvUbyIRT9B4aoqOvH1/3AHVlJXQcDGOYMB231U4ol+C19e/wxuYV5N0qdC49KiGDNarRmDVkLCLlWktalWPdhvd5cvkbvL12K261jdywCqNajx4V/pifr37u8zKk5fG1W1mydBbVNQ5+ceO1nHvqGWiSGXKhBD+46lrufvRZbrj1Jlx6HdkkPPvQMzz9zlpUTp0EyLI6FcmQCE3ISWmnAEHqK924HCY2t+8kGBvFmnQw4cQ6SjM6tm5qZ8Hk6cydPo0l06dy8ozFHOjqoLFpEpFYjKpKM067DYvBQEabJRSKozWm0VjVGNQqSoxmLGYBBiGlnDohe9VrUKXUJCJp+Zopq0OdzuO2usmaoLqhRMqEHTYL40qrqakuwVlpwWHS01ZXTvfoEHV1Zbhc5XT0DVHfUseerkMYtUZ+//c78XjMzBtXR3NpqWTAZkTcj14vE36FfFgAR7F0Eo1OeCsaSGvS6BJqvKleKuqcYNFID0jRSSLJDAOxNKSFDYBWpuGO5p0sqWyQoRrJ/JHwinQ2J0h0qIRsVpWX8tR0PsW73i5Uxjw2uxafP8xIyE82kZEBTbu6vdhUR0ImBCCfCaVZ3X2YF7duQ+vWEounmVdaJRnKMjBJsJUFAy+TlyzYUCRKVy5EJCCSlO2oBJvPqmH/3k40ZnA77FRYLNjtRjRqLao0HOgbwGgzSA9AXV6Ns9yGNWrA7XRQ1liG02LGVGrAZncwa1ID5yw7nlDIyxdOn4k3kZfMQ5v4oW1T89a+Q1TVlxNIJJlQ5ZGs8OFwBFOJieFwlJIa4dUK+wf6Gc57JVitTaiYWVPFhYsnyeTxzh4fW/b0MRRL4nGaaPcGaNbZmeByMHFcKXqtoB6qSadVOMwGdh8YYNvu/TIUKpRN0WzxMByLkk3mMRs1DI74mdZWLz0JtTotep1WBtT4UylBVKej3wfREPMbmtjw9vM02m0saanlyvMuZmtPv7wZKO4ci/NXWXVEDvhpfVr/X63pz77+ia9TgH2FUh4leOOTqJKSEpqbj0wcj1UCuFOYfHv27CGRSDBjxgyWLFly9HXxaDQamT9/vgTryqzQuu+7VOq11Pz0t3ypxM474SOMu/6bv80lOwakfYGQAIv/G371JhtOuICnnniZHwZG+PuGXhoaqnn3gfuYM3sKTz71qpwweb59Pel0BtVlcyj9we289P1f8OxXfnRMOWWh/5aYTBVLDJV0SFGFstex6r8zyS/0EBQMtWK2kcKCK/ROK9zPQsaYBPJ+/zsJPo0FGor/q3SXHJ08Fk4iC8GpQr8zZf+KpYKF61deU+SCheDKWCb2ynuFDCvxWiELcCzPPQXsUJgv/w576lgsqP/T+sbyg7IfKPusgAFj9SXlHBUGNIj/605p4yelDh5/5X5uv+N2BtJZbugaIfYBGCDWaTiQpFx3xF9R6auF7MYL0kduEJg81qPggLJ+sbwCuip1TYmdslt/SOb738Og1/FsMMZXSh0sX6zi5R/8kqYzJ0vW1qn61g8dh+7MyZIl+LfLZ3FTdwfe3kFO/Pk8uQ/bLHqWTZrNj9c8ycKVz1Dz4x/x+m2/k0mtSruI60DxHivsX4o3YGFy88fJdUWJ4xSgoahCL7Nj+b0pfVBcX2NJLAv79ljAiRJWJB4LAyAKrw0xDoi/RWDGJ1nFHqDKDYbiUJnC5wJkqr7+femNevUl57P9r2tYuq+Pqzq9XOS2corDfHTZpmUuqoVtStG1rzxXamhTtxxvT+7yccbBAVzBEN/MmI+GWQg7GSHntVY5JFBcOqWaMxxmNkw70g+VNtPoNPSOh5dv+SXmMhunPPg+paEk36twYim3ccvKx2g+eyqpYJxQp+9oGxSelwXZGoweC0/7U9z1zmFOspv5nJg7FNRXlp4p5/TP3PdHHr5ijlxuOJPj3UiCx+75LfY6N6/86Fe0nDuN/nyevV//8tHPVgUSH7qOXz3ha5giw0fbJPrmakqzeZ6KZKWH5iKriQVWI5ujSdl+AlR95531mC6bjed7P+f+y2fL40vm83JdyjUhSun/R8+3MjaLa/n3v/tQ3yqWF39ckMr/NZDP7w/j8IjE2gDNjbU8u2EN2QQMer1ctPh0GRrg0DlJJTL0xKM4TFbZOS5evJQL5y/lvBOW8blpc/na1Wfx2XnHMRgdIp7MsLRtCvVOD2+sW4M6kWei1SPTLJ9/6yWefPY5/KFebEYntRUOfv6PR7nr3ge5/6l/sX7fTvQkeeDp11lzYCultXbGVakYCXZzwrSp7B3ZD04VtR4zM8pryGs0lBlKaCyvY9gXkCyz99dvwWT3cMH8RZx5xecIDY1QbXSiSUPQH8Zq0UpWSkqbp3O0H18qQjYaw9s5yuXnfgazQ8+G9oN0Rn10D/ml9Gw0lcBpNJLN2CkxmdFotLQP+Tn1xNP5xW9+jUdrxmI38Md7npDgojkcZ/fQYTp3vUtuYJhZpXWU61xEUsLYPUdfcpgD2wbJREbwRvyERsNoRjKUGm2Y1Xbe29d5JN1Yo8UqZIGmGKqMTjK0RMquy2NhZ88hyW6Rfk35HG9t2UZagHIqFcnBJMF4HJUeUiKowaj5IBE1waH+TsLDSTwui0TF88Y8WrMavUOPypRHlVeTS6qlWb1gsggfejHBFhNLtUbLuAoPnzvzIp5/7nlMZhX6EAQTCf751itsX72KlC9FQ5kLb2QUW9pE385uNvT3Srnj2k3bSKrjaLNqnnnzDaJk0Vv0lGQiGMxuiGcxpPN4Spy8feCwlNFa9TrmL1hIRbmDUkuKBbOnM2/WNKxWM5WldmrKHZw6eylqnZ09/kExdyebyrGns51Doz55/qY0jsMQiJHOZ8hlVRw3ZQFJshzwepmyeIFMGu4cGubNzRtkkMxot/DySpNLDdEVGCEjpIZaDYFIQKZVRgOjkh20v/8QnUODxPf6MaosUspmMOnIa+PkdWHSNmirrieb1pLX64nEY3T2DlDV3ELIN8D+ji5Wbt/BsH+U9zfs5o23V/Dkuy+h1ud5acMKVmxbw7s71/GvN9+ho78TczLOwPAA3fsOMNzdwZK2Mupsan53zwPcec8D+L0DZAbW8PrjT/PKsy9z++MPs2LjKt7asIk172wgeHCAkZ4RAsMxzGk7nQcGGF/ZRL3Typ7DI8SSaTauW8mqzWtoP9zOu2tXSnnjjgPtqHMwvryKyYLxlgnJoAzBzlvd2cGazoPEtHlCsSRzj1tM2pilPz5CRpWj2l1Fj3eAgViE1jKjfC0cimFPQmNNFY8tX0lUn5Hef3WCVRgIM3tKq8i6IKwNkdTkwaVHnc0TSsUJhaNSMj6ajpAfyZHxp8mEsxiyajw6s0wY1ujy5CKi32v5wfXX4rLbmD9vEq4GM4tOmodWAODS3sUgg0wGB0J8//d3MLl+Cg+/9iKb2tfx2vsbyPuTvPLuchBJ3yE1vnCCmDfGiWefIBN8hXzdqNfL5FGDVoVZq5NehSIYJZKJM5SJSJlzvb5Meo7a02U46+vQOLS8uvEtnnh7OcnhMHv37aPC4+KV5e/QP9rDpgO9pEMpKbEU15PTbqK7Y5RcSCTpgj8Rx26yUm6zYBU+faMpQfKVAFpZiRWTWkcsk8ais+Dz+5jUWEvIF+PEudOxYpKst3AyQsgXZ9/QAPs6B8lqEwx0htl1eA/BQJBHn36JhRObJJhnNmqlf+jGrn4O9A+iS5lJCLaoPyQluOIbSUh4s5kMyyY2UuO0yxsIQ4EweqMFdTbHcH+I9sFhKiwOeccu4g8TyufY3NPL6oOH6Bnax0gsSqu1hNmlVegjGgIjcek/KuwCam0OJpSX0psMcm7dBPpCfuLBFNlsAqvJwFAsSvvgCJUWC7uHhpheUUUmkUXbYJReli63mwqVm/d7unlhz16aaz1MLXXLxOq2CfWSBZnIpFGptYSiKfRZFYN9fuptDmk1YLYZGfVGUOW1RHV53HYL6/Z3ohXscJ0ep9skmYGxeIaIP05dUyOBaJjOwCFC+iRJf5qkOUZFZRU9g6OoMipW7ehm1OclpXOiNWqZXFbBjLYmGsylON0VxDHhz6aJpLI0mZ1oNHnMBqNkTIo+lg0cCcjSqNXMmFBJd3+I8XUVhOIJHII9m88xEAjjzYSljYK4QRfM5ygpsxBMxPEmEmzr7CdlyeMoMzOjtoy6UgdbDvTKO71lTgvVnhImjqsirc7RJZigiSRqlYYZ4yvkMkKivvCsa0kNDHDZTb+mYzBIPJ2lezTEm2+9xvS2Saw8eIhD3lE2dfay4kD7J/Xz5dP6tP6vlWKKXiyZ/f9i3XjjjaxYseJjlzn++OM5cOCAZNydefOFTMomWT+5nqVLl34I5Js1cyLD3o1HjM3NcM7NOzi3fYAlhwf5+cAowWyOFz7/T8lAKznZRU6wmQs8+Ix/ul96137+8JCUCjaNO4X65uNZv2Ebex9+9ugEStw0evmHv/zIxFlMoIrBosJJl+L/VFiFnl9j+ToVSmw/juFTnMaorEvZvpCKiW0V+8opabTHkuoqgN5YLDlFulsM9BVKgovN7AuliwqDSAFMlAl4IauoGCgsbtdiMEF5TzAmxTErKcailKASBVApBAzGMuQv/Ls4ZVb8Fwy8T6qUfiBKsie/dfNH2DfF6baFjMT7tg7w2tXzmDBhHMcvnYfpxiWMaFS8/QGwLerLZQ5CXz/+I6wupR4JHQFsfvrC7jF9FJXHit/dKh/HG/VH+0FXV5+8WXb6s/fIvifaU8zHrVVO7nnlxQ8dh63GeXRddo2aOr2WrtQR1uFPTvbwwqtvsevBdSy49Ep+vfGZoyCFOHbRNuK8KlWY8P3vSA6VYy6UfYu2F38L0O1Y/amQiSr+FyZtF7P+/rvrVdnnwnCK4mu3MF33k6jiAAylFCZhYchLMdtWfN/8vLaEZ+59ggnX/IkHGsq4pdLF474wrwWPjKGyTXdk0X/rxI8wYZV2EdXkjVAypYpVt0yk7aq5/OvZv9AweTqXB8Kc3+k8Ot6doR9Px/2H2fj75RIQfDEQpa/fe3Qfl7ZOYf6MqbKPKdex9+xT6UtlWHp46MhNm1+9yc47VksymGDKFZa4eSE+8/jbyznrhCUfem+i8b8UHWIZwd7WqcD89VuOjk9dybQkkri/f0RWK0pn1kvAsL298yPHr7T/Ge/cSdxa+qH3Gg1amt568mi/abzgM2wUYZbi+3HmaXI7f3m367/GPIMOq1ol16XUWP6WheOzEopUyFYV/Uw8F4/F3z3/T0C+l598BZ8vwo5d7XQe6pPJs8JbLpbO8PCq1+kP+dnR0U4skuKEmdPJp9NUWEp5+MnXeP7Ft3l/x3bOPesa1m7ayxPvvcNZS47jJ1dcz6zZE+iPhfni6cv4693/YFX3fi5cNhtHXovZZuO0WXOoKzGQz+qZNmka+7s7WfnGoxBJEUjF2L57A+csOZ6vnbaMJQun87UzT8FgrmXFqxvl5Eqns+IoNeI2GggGjjAQZy6aSHmpE6vdTiYZoGtwRPplvffeDv7w8vPMmTmDcVVu3BYbvX4/BnWOnCWPyaShPxgko1bxp+ce4/633mT6+FZUCTAaNdIov7WyRJrC1zgMaPNZKtweKen657+e5is3XCMTfG/+zV9oKnUwZ8IE7n33PWpywjNJhcpSziFviN5An0zIXDSthaVzZnPpOSdx3smLuPr8s0nr8yw9eRk3XPkFjp/Vik2rJRFLMbdxHDMnT2Df0Ah9ER8aYx6j8KqyNmNUG9F5tKi0InFXQ5XHhd1ixllvlSwYQ1pDNpMjI1h6iSybd7WTTmTwB6PSQ+r+19+SwSokxURNSC+EIaCG8ZOayMaTkl0yZfwE9CYNKq1GAn63XHclI6k4b7zwIsZokEZTDSqDTkqHxbF6UymCqhQdkSA6lZolp8yW6H9TZRVus41pVaVEtWlOOXEuRnsNNaWNaIfTtAcT9PT3MWnCZCkFPbB/kEtOO4epVdWyu7/x9MNYjHYcpSU49EmMNjON48YRSaWlHE9ltHD20gVMtFdwYmsbKuGLhRajUY9ar2Zj3372J4PSH3HRrCn0d+/l0e/eQIu7midefIfOxAhtZTUyddfi1ksJolDN+QJx7Dk9ukSOTDJPlcuOUW1mX0+3ZKVcumAZOY0aR7mN/gGv/DuhThD1JoiG0qg0MBTwE01EuebMxWSTGsosJax46w32eUfo83bRUl/DLq8PX9KHLxdlqHeEMHrKbVayITUjoSj5fJYuEcgwrolkLo+zzENpbQW9h7spK/fIxM9oNEEmnWFbj4l+ohyIjApokgRZDCoRIKBm58hhbLX1aFQaSl166bv2+FsvsG3DFla/u5JSnZlYJsPM+jZmtoxjS0c34yrL0BmEtVeeXYEBUskEwUCcqZ4yqkwuauorueL887CqBciRY8vGdcyduABL3oBeoyUcGaW0zMbAyDCdCQ3hoQhLpy8kpzdwsLMXk0Mr7dFsVgsep5maciuvr96EWqOnvLyUdFBIxEMkjTnMBuFhaePMSXOwqxzy2hTMUyGJ1+fVuI0O/vzbP6M3Gpg3fQJvPbmC3//zITSpHP98aTm7dh5k+5btdAcCxHpT/O4vf2VKY73IxmZ8XS1rDm7hUGSUoXQUk1NPWKdia1cXarcao0ULOY28toS8MpfNSOlkUhhvJnJUV5WT1WQx2TTUlLmwqs1MLq/EbrURIEQ0Hqen8xBDvX20NJSgSmtRqTIMRPxSxpjNqRk/o45YTPjpZclnIBFJ4fKYufXKi9BpBHsuhzoBsZxILY6SSAiNLpitOjKCmZZTkYzmiJFGY1MRzERJelRsP9xLRiQEh8LYrQ4O+Qdxmt3Mn9jGt774ZSY01hIIxBnMDNM/OMiciS2SCbehs4u25kYpHzY6zDLAx2o0cNLSBegceuk6rbJqQUhBIxkywk5BdcR3tMHpZk5jHZpwUgZm1JSUcfzs4wkEYyQyGQlSiRsZnnIbHquV+jI3ASGJjydJk+P8m78jgaoylx2TWoNGo2FXex8n1bVIlq9W3Iwgh92ix2k24otEGExFSJOlxGmTgKPJYSQzlEbv0tHaIK6dmGQke8wmhgNRYvkjMmCD3oCuRIQECXs7FZlIknQ+Tz4r2M0GaaNQ7rFS5bATzyYw5IzoDWo+e8JctGodasORQA1xI0Rc82L8Odx+ALvFjSvsOsKItqnIjORYuXInoXBIAsB/+MVvEA513d5Bya4rVRso14JNk6TJpKLZasZtttMRiuAxGzl+fAsVmKRfpIjkrrZUENSkuevnt7Dy/Q4Oh4N4UzFUGhdxVUqeq3g8ywyPm3f3HGLl9kP0dwUYGAzSFQtTa7ZhtRlpLCuRrPyVWw8xqaSCz82fxoK6BgmIRkXgiy7Pe5sPElNlcZlN1Ja78fkjLGxtZcGkqdzyw6/z95fe5CvfupLdIyG6vT7JPrULj9iIF7teTyAZld83Hs1/SU8+rU/rf6sKkw2LUw4FsCcmGQKYKvTAU5b74l+/+ontx/8miCi2LY5R/H9znRa9XsffZk0i2DnKdPMReWz6qgvx9vTwVHMFbzz+GAsXzZKvq+//I1+87JtM//zZ3P/M3TxS4+Gm8iO+VF+0fEtObEbe8n/oGEX7bb72cinzvb+hlMdqS1ix/AH5+OuffpevlzvkxEhItyx56D718x9ivRTK/QoZecWpsWOBSWOBV4WlhAoUr1OpQhmhMpkrLPG6AmAo2yqe9ClgmMLuGQvUK9yWso6xfPqUbSoAylgMuEIwT0gblfeF753CIhsrcbhwPxQwYawgB7FOMZFXGG/i88XSSLm/BetQtqkwBAtBQfE58VzZ7icpqRRgoVi3sq+CkSOkwUcn6R/IqQt90woZkcWpnOL/ye6f0aJS0fsBeFbYboV/Fx7HdfuP9NvvHFc/ZtqxwnocvPln8jWjsOYQAF8BGNl3+Y0fOT6NdaH8/E/OvEw+/8Erez8kne5zGo/+/VzTBKbdsITr0hDzhtlzz3u8/fkLZF8TwK3ox4qXYKGP3VhV6FemHINy/hTAuxDMOpZk8VgyecEuLK7Ca6xwfQqwp4xpYtwpZvspALyyn580k6+4DQrZnMUS+kJWsKi7vSEu9Vi5Z82vaTbq+PKPxkkm3z99Efl+se+l8ncxkCxKKO6+k63hpe/eTtktvyA4zSyl5iN7BuQ+3T//bG677S9Mm30mL3+9hanXLuIMp5mDgx9mj+/ydn+o/Z7f9B6tRp0cs8VnVq54hNdff4DpNyyhZPKRsUrsjxjfBFAstjW3oZV39m8/yuIs3lexjLghZDIesTzqKgAwBfagHGfhmBt4+Mi4ceqeITl/KxzLMvn8USafuLmxqcHFvmrHh/xZVZ1r5NxJnps3n5FqzIavVh1l4Snnyb3ELhn1hYzmwnOs1O6ReXI8VM7xx/n0/T8F+a7/9hVMb2glGU3jHQ2SjQtpWAK3w4qalLzjJib3iUyKzZt60GQMZPQiJENNfVkVvcOjfOGrl5LKJ6mscnHB2Weyt7ODe194jqn1EznYHWTn1jdY3DKJ1fv3MmtWC9+8/BwWLJjNJZdezB0/+x7XXXwq1597IadMmc+yaZM5bvI4KqutdHcdprurk4tuu4s/v/oOK1e+RY4MFy2aw2LRmUrKaKuvA22eoXCckVCQwVCUancbW9v7ePitd9Dmwzz5xusyTOL9XbtpNbsYGPYTC0f40bU3clLjJAw6A6V2I3PmtmDM69HldfSpIpSVuCltq0DtssuQiBuvu45kTM3v//Qwan2CEW+cmopSfnPH34j5cyRzaRbOm8XmzTtZNH86W0aGeHHPAfLqCKoyPTXj60jlcqzdso/l767jr889TnNlCW++u4oLZi3EGgihKavksmtu5Z8PPC8n9d64D204ydK2adILyqI1UOYq5e477mBqVbNcRiU8/ISceFj8oMpjDxuY3TKJrEWF2qqjUm3FaNYdYeZpVWj0OtTkMRr0klUobcQiOVJhwVzLsmdru2QaicRiu1FFQ0mlTNkViZqb3t3JM/e+iL2knB39fcQTSXK5DE6NEYfWQInawbcvughTRiVZa4++sZxYNk3Yn2BF92HJOBwejmAy6RFqwzJ1npgmT394iNZyJ1WlNgxZFb5BH6NRr0xnzKOSHmcbVr7JhDoHZY5GwokMHb09gtSISWMiHPKyess6XBaDTAWWuuN8Xk74BVha76wiFEwxvXQcvt4w6bSZP/7tbcwOF6W2HFbRr/NxLKUGksEMBrOeZDQv5atBY45ANEo0ngCrGq1ZxdlXzWb2lMmobRlU8QyHugeodpRTYjPTYCslEI5Jecq4mgl0D/so0Tt4eeUuzvrMKeQsSfzaMPp8SkAxJAIhMiJU4riTOW3uMr55zddoP7SPntAoWZOKVDAlfxTf/bnPM+Ldz6btW9nTfYC3N73H2i2H+OYP/kStwYLVbuBfK95Bk9YSCCeYO2UWi2tmcucN30YvwE5Lnlwsz2D7QXketnR0YNCopCfjloFBNBY1w9oE6UCGQ4NdLN+0nXEuD/F4mjpjCalQhsUVTaw/8L5kLflCYTqGhzjU101SgKAGDU67kXg0wvr310mQLhVP0lDWSjgcZ3JjA2lfkuXb3uW9bevJ5JOUekokYOHJm7Aadezo62FgNMHM8XMZHg2yp2uQU09eLLIJpAR8f9cBhkJBgcpQU1aKQScAaME2zRJWpbnphm9KYOz3376d+EiGi77wGZKRBKFkAp1Ni1OjZl9fF6XldnQWLcP+KLff+hNuvfKz7O/vwZTXkQ3lpOw2bsmhMqvQGCATz6CyqslEUvLGgVokRuu0SPWpWkNtSzldnYOkpFZXQ7XFSZAkHZ1DVDg8jAxFsLn1WEw2NHo9Q4EYJqOFUr2ZhtpWVFkNHqeTZEyLyqDC5jTS0OTBXm4mEIhx2z/+hVavxlJmZEKlg3EqE4l4hkmTZgjckdBgDINbg86uRRXLUGq1yJTYXDYvpZXCyjkWSMmbObOnTebqz15ArdOK1W7iwTceY3dHDyfPWUJjZSMldo9MuJ1QV0c8mmb3wXYOBkfI5FNkohm+ccosjNoYF0+ZxvmTJ2NKasinstQ11WG3m3l9+352ewfZ3t0vFMTkDRoceh3pVIxtuzait9qJxZJosyrcwtg0LcJPxDikkv1Hr1Fh0Wl4/c93kMupiMaS6HRqnt28G7UOBkaD2ITXoMMi++6gP0IqnZPBQGV6M4f7R9hyqIueaESCgcYKwbTMs/fgPqo95Uyvb2Hh/JnEE2nqp06UaeV7ejtIeZNUVrsYUgmQTEd1uVuyJL2hAJUeB0P+JBWV5QhK+FC/j77uABv29Upv11Q8Q5W1hobKFkor3LQ2TJI3jtxWBxlTTAJy4gaUw2iiusXDYNBLIpDi2u/fSDgoPHG7GfKGSGpzGIwmXn1/H69tO4BVD5lMgtklpazaexiz+K4qd0kJsbBF2NvfRSaS4eu//zXdoTABf4KRoRAdvYfwhWIy1EPcpOkZiXDqvAm01pVQW1qKzWZEH8ux9lAHyXiarr4RzCIr2KyXfoB2ixWb2YjBrMNpM5NO57HbjFiSailN16k10pKiwW6lhgy93b2sWf8u4WEvqVCclFGDo8HDL+96ArXeQZndRo3Djl14ADqOgAef1qf1v1mFUtjiH+EC2CuecAqASnxGTByF9O+TKrEtJWhD1C2/WvcR0LGwHrvvjv9o/cpk97+bpJ/z2GVMnz6RF2sWo/ImmPEByKdVqWhuG8fLwSjeTJah8Gw5eROpp8LGZXdlmF9tfoE6vY4REc4mfoWeertsU/HZlNZ0FNySAMO5U8jlctLvqEavRX3tzfJx3j8fkkEGSqmtR5JUx5LzideUoAtRhf5I4likkfsHrLuxQIXC1wpZQgIAKmTIFYNmyuRzLEaGsnyhPPbu4J+O/q2sX1lWAUCKJ49jVTHIUwj4FVex95jy+CEZYcHnPy6dshCgKWTnFTOWxgIXCz0IC8M2iktJkFXabyy/w0+qlPYvZuqJbQkAQoBEyjErxyT2S7lGipmHVxhulKymwn6rlNLmhedXfOaFy2bhdjuo7td9BHgW/0UQgXhdYfIVnrP6+mrJdtoRE3f5jpT4rRrtD3D+gTfkcwUc/P60yqPL3HPhVyXAs2ZJ89Hz65jyIOe6LPz55u9RtrCJX/3lAdmvxXUlrp9iEF3xMCwuAfIWj5+F565QQq48FzVWny8EPZXtCyC2UAIpxhKlz43VZ8eqQq/IYjntJ8nkU87hsbwwC/dTOZbCSuRyHwJ3xM0B8RvXK34IHmN7SinXm/gvgjeKvfF+8tIe+Xj2+0d8T3fGUsyeNZn77jqXn2rrJRg4Ku4wF5wb4ck3uT/0oWvcUuHgADD1pYfkZ7771sNyDN961yr+9dUff6ifKJLu5qY6ogOho1JXsb7+z54l37v13EnyUdwQEhZhhe1Xb9DJ3/U3LKg7us50LCW94dcsbZbrafrml+jWqrnwntuPnuenyi0fasPZnX55HMpNHLHcK9H/Ar1NHotkyL7x266jN2R+eeJlRHJ5RleHxvweUnz2lHUoTFVRhQzWwuCN/8SGQJUXOplPoC649hyeuecFvnDVhbgsOvb3ebGVmjFodagE2BKOEvcm0Lk1LJo3mcFOL/PmzGDFO1uZP2cyr722RjLHzBoD3b0jXLJsGfFkkh3d+5k/vY33tu/nx1+8gt/e/xQLZ0zAYLOzavVWTlvUzHMbtsh01xp7KS1WO+3xEAe7BkTQIVazDpPBytDIMBUeJ5+/9Ab+9odfS0+jXD7FKQunc7jfy/b2dum/pbJCtdnNnr4hHvzht7ji57/FaVRRUTIOW5WdWEBNyj9AmcNEb2BEhk/s2HcQfyqJw24mrElRkbPQFw5hNxok0PnUb37Khbf+hJkV1VRWVvHsO6vJxLJMm9oofbj2H+ql3GMnmc9h0hgwmXRMLa9AcN62D/XTFQ8yzuamqW08q9atw6ktYzg2LGVumNWUetwEhv1MnzuHfbu3E0/lZBKlMKFKJFJ4XFbGVVTTEepHK7Tk1RWMDg9Jz7HzJ8+lsyvIlpG9hAeinLxwJm++u02COTZhlp5NkTfn5XlM6nKkfMkjSZLpPCqDFpNLS7Q/gVbsrUElZYfCSL7C5canDWDWGDmxoYWXtm9n8aRpWO1OensPM6l1IjsPHaTF7kZlNuBx2Hl77UbJehlORpnS0kTfYS9xU4rBQz7p3ecwG0mqs3gSBgbTQu6m4rSTjuOlV1eT10KVykzKJOeWLFiwgLfXrGVmXQ21nhpeWvMuv/v+dzAZdXT27qV8/BJ6O/qpqzJz51//hEpjoC8wTDyak+mq6PNYghrCIoiBLFabGY0ealz1xEI+poWTuE8+kb899TR6q55cVkM2maLSZUZrUqOLaaXcJBAJMXdCGz2DPfQGIpjUBrLqLCaM5LVZyfiLJTOSzVNRUsKBzk7J6DEYVZLBlnWCIQKtk+fx7vvvMGliE6PDQXRqFb1BP1kyGNRGWpwOklkVNS2NkI2jNeiYN20J6za+x5vvrsNSa2eCpYzyskaCh9q57ltfxVpSidNZzTMP/InHX1rJdZefxh9efxp1FMo9ldIv0h8fxYSOkdEY2XyWmy7/AkOBAXoGI+Q1ag6375VSu0q9Vcpeo+ocDnT0RyKosyqWLJhDXXkLDz77sPQcq6v00B8cZWJJFVt7enCXOpjR2kRfRy/hcAqNANqEb6NOhavEhTEvgAAzXYFeGkvLGQoHiSZMfPOUz/DYptfo6xuUDNpAME3KkMOVM8gvnA2b9hFJBcEEyYhgT2aYYi9BiCFmja/iSz+8k1MvWkZ+NMvZZy6TJuBrt+win1VRUmmn2unksss+y22//Bs41aRjWZmkajHoqSsvJ5VKkcqrCQTDOJ1GGisq6BsdpMxVz7tbNklvE3JCbnsk8CArBiORtGrR4nK5GRnxSRZfVgQsfMDo06v1pHMZNGYVTY2VdO3rJyP849Qq3G4DarWBfCBLWBOXX+ACchMM4e9ccTW/fuwhTHkzJWXlVOgtLN+9AZPOLL04xTUpvMxKLMKLLc7UtjbpudeT7KM6rcGf1zDgHyGXU6NJZ1GnVXgcTtRusOgM7OsdRqPNo8rmySRz2Ksc6FV5fP1BjCLUIZvhB9d+nvFtx/H4K8/T09/F9o5DOFxWnJgYCoVI5dIcV12HNxNj38AwJruNeEBItbUyHOPy+bPojURYdagdl9VOb/+gvKsmfO7cNgsmg5H+oB+XxYzOdCTlWycCG4x5YmkDacFw/cJXuP/5e3DlDZg1GnLxPCbBAMuIsKEErTUlmPQG1g50EfRFOK1tEm67kZWHDmEy6AlEYjKZN5JIMuANyoAJkZ4sAlOEtFQkB5tzWpZMnM+WPdskgBdPJhhNCWlrHR0hL41GOyqzmYMHutEI5rJVTT4AHouR/kAQj8FFVp+izeNm18Aw1WV20gktvkBQ3n0UN440Jh1mnZ58WkVj/Xj2HdqKShwPKipdFXR1djF+4hS6vR1ynAj7YmgdWsmYNqpMjAZCXHHeifTu66RjyM+hER9OvZ6Tp7WSSmV5ecc+WstL5Xi6w+slq86TTiSxGI2kNJAJCOmyYqugIi/8GM0m6iudMkxJ3KhzWCx4AxH0arX0WhEee+NLPGjVWl7Zc0AG+wgfwNFgnLQqS1ywKnMZjmtsYGvnoEy6t+h0su+rVWqm1Vbz9u4DRJNpcvkjydLi+y+qyVDqcVJubeSHt1/B77/9myNsy2gMXyjKn+87Yi7+aX1a/1slgC/xQ1wAdwJUEz/UFSaIwgARzwVIpjCQFEBufyLF1Z3DzP7hS9jqJ//H2w537WLTbWdJNlubUT8mM0WZvIptCvN4UYXeQMpE6M3vPMUzU5r448mt7Lj3PepPHs/fb/oOkRu/T4VOKwGN+B2nszqc4Pl9yz8kIy2eIM4LlfPnv/5T/qaed8cubr/jiOzwstaL6HnzXvTJKK+1VvL9i6bJpEaxva+VOVhkNTKw2MyvXuhlMJBm9+9m4L/Py85Ykuu7R1i+fDnfe+2X0i5AjDuhl7K0d67hVouJ45/8K9c9cIc0nDeX23C1lHGBczo//vav2Nu5+iOT+ML9VyafxZPqYhCv+L2x2lqsR0zaBMihtEche0/ZrlhGmQgqVSzPFeesEFgtDOU41v4Wb1N6RX3AYjoWqKesUzkOAb4qE+tCsLKwChlVyv4o+18sR/vvGCjHOpbC4ywMHCg8Fx834VXYbGKflGvtte9NZErdf03e/93a2R3l9F/tOXqtFdd/d+yFx/H5utOxVezgp+92SUD7/pEw7ck0/2wsw/UB0Pc3b5DhTJb7dr159LyLkqnBv/+dXNfV9Yu5/vpbOX68lTMCGmp0R+Ydt1ZZmVXSyMh0gww82PPP93mtpRKbuMv9wT71rK0gseohvlfh4qkvPU73639neOuLvFRbImW5186plp8zlVppPHWCDKyxPbqJg4k0TzSX84OLplFz12oZ5lCr1xLO5fh6OiXTsUUIw1hVHKSglAB0lP6mhLgUfqa4TyqvF7bLsdishTXWdVi4fOG4PVbAzVgMX2WdSv+67Yc30Vhfy39aHV09/PC2PzDlmoVYKx0fWv+xrjVlXwqvPVG39/vZFEvw7QoX/7rhec666xx+Oxjg2m/dzBrDTrn8s/6IHMv/VHdEbjzWNZh/a4CmxlpuntpD/uSfsOOCa3nIF2JdKieDL4Qv3WmaVn73q7v4SYmTAxf9hZffv4XBjV20lepwXHlk3G9/YQeZRJody5892q4PXXYTJ04+jVCVgwd+9zNuX/W0TD4f3TdE4wWPY3RXfuh8iz4SH+5hw4+WUXvSVbib98rvjq7l+0iFEuze9RrXPHknJ9y7jju9QV5vPZKIq7Thz/VRVvdn+J3ZiFmt5puaHM6skfJLJkl12u3HX8KJyy6n7sRWPBMqCBwaoXvlQXSWMpZ/oNgV7RrJ5fhljefofv1pKEBPiZpnvjlegtsitbesN8i3KpzcdXILnW/sJToQ5NZzq3ljwuT/drw6lq2DAgSKEt8b/67P7ifG5HPpDfz05zfKhMloQqSt6KXE0+sLMxqNobFoqa51YhcMif099ERDvLtxJwlivLV5Le56O5lEkmA0htGq4ZXta3l543sc7PDy2EtrSGeSfOW2P3Ew2M/D77zNXx9/mpu/fiV94QSVZaXUuzxUGcu44JLj6Wr3Ioy40rk0mbiKn1xyHqVWK6MDIf76+19J8C9sijKaiNC+v5Mth9tprqwknkkR8WcIx3KcfeIirvjRryWzJ5EzMRAaYO++veiC3dQa9CT8ISKGDJ0HejGp9CycMQsjGrRJlZTflljN6HQaDC41azdv4ZJFJ/KzX91LPBrloqVLuercU/EOj9I34sPjsWAxGah1OjDotdLvTsglLWYtepWGMr1FeiUJkLK6uoKB0X6sTh32KjNOmwu/d1SySMq1NiJCFqo34LS45KTK4jSwcFoDe3o6yAqWisfDqPDNSqtZWtbImi07WDq/CY9ax6TGepnceM2ZZ5LNpKRMLZNOkQnnpfwiL5zRU4LxphPxm+i0eTJxoe1T8cVzTiadTJMOCzAjz6yWJrK+PLa4hhe372Dp5FnEgjHeef9dthzo5LU1awiPjKKyW1FpzTTUtxDJxnHZtcyoLMOTyjCpwkmF2oyxRCvlYP5QAmNei8dtIh3OYjTrWb1pM+U11XKymHVpaCytprWijs3799Co07B/YJAVe3YR1if5/X1/4Vf3/IXR4SjrX7yXPav/xf1//gsVRhvtvkHiZPjc50+WMrJxljLqyjwsaajDbDLKwJFKXSV9/b1oNEbWaJLc+/ozGEr0XLLsTLSZNFVOPalUDk3aIINlRHvOaWshPjBMeXUTJr1FggJWsxVLuZ2QP04slZWT2qwauvuGqCotp6a5Vqa7mpxm/ANhHn3sVXa2vy/DIAZHRkkk4pwybTaeEhsuq41kIklnOMBQJsZI/xC5DHgPDfLUK0/wxtvrqC0toVnj5JTjz0cXT7Ir2MvTD9zLld+5Rl67p3zmAnKOOH944hnynSlaK6sY9vbh7xkincgRTCUos9qoL61g08EeurqjbNq3hcHhXhLJDOlUBoO7CkPKgjoJoXgeoZFJZNMc2LiHXGJU+jPWe8pQZ9TYdDY6AqNUlDnJpI2s2LiNP/31SToDAdrKyqmy2LCptHQeHmF3fx+WfJTrz/+ulHJb1U7GVxv49iN/Yve+w9TVlOPL5kioM2A1ovFoeOGt94jF41L2mNEZsGS0zJrRyuFMlL898gz7h1J8+epL0SWgurqWia3NbN67D3eJhboWD9F0kqF0gBJHLQnSEpA35tSIfyLp06DVy6Tg6ooyQuko3YM+NnYdIpXOsqNnN9//8g3SB0iApNl4To43Un6ZV8t+m0jFUdt18o6PyK4VYLwA8tKaFCaPkRKdme72IaZOaWBK7TT0KvAPJyRQkszHaDa5ScSzxJM50nktazfvl2Nn11A/88dXEyVObUUJkXBMBlJUl9uZP3UWlSc3Sa+3bCZLaYmBEpOJpNFIbXk5uYwKrVZHSg/lNVX0x0eJZFPs6xoSFGx5nWfSOSllDnoDNDrsVNe5pf+b1WXmj4+9wM23/5R9u7pocJYwq76FanMpnaNe0YLyXLzb3027f1SmxoYHRnGXWXCbDcxvrCaST5CIJKhRWekZHETt0rN0/DgWT2shocnhUwtWnJoSk5FMKkMim2VUHaejLyhZ0XmVk3XL32BmZRuBWIKhTJS+dIiEKkVKlcZRouOwL0CfZLtmOG5iC021DgxGDcc1NDC3tgaXrYas1sDgSIiqEhdTGxtweKwkfQnpYZjxpTlp0kLW79ksbyR4kwF80SDzx48nl0hRrbdx8hmn0n6oV4ZK2FR2NCOQTKXwesNHPPqMERK5POs7e4nGk7QfHMbt0DNlXAUJdQ5bhbCQ0BATP5YNGvZ175DrEiBwJpPBG/EydfJ0bHYb4ypbmFbdhttp4mcXXUAunsViVeNWW/D1Jnl732GmVJdx/MQmJjZU8taOwxyMRjDoTeztFSliR74jBbNblVUTE0C5L44qncNoUmPzmNHr1WidOhLaHMP+uATz/NkkHcMjWI3aI8CnXks2nZVjhEGj5eKpE3E4dAyHohhyaqpsDkqsNlrKyhiMxBhfW4Emr8YXixOXCcBHgpoMRi2T6kq5/PLzEe4PQmotvvdiiQy2cjO3fPt3bO4aojcUJJJMYjJ9Ktf9tP7/pxQwRvwwV+SrynOFUad4miky3qrPfdjv5/+kxI9+AQoVTkQVVpOYICsAXyFjphAMmveVZVzZOSwBN1Fdb+3jtNOv4okZM+S+CoZBIJNjyO36EHNEmYQor4n1LVw4k2wqyzQNRwE+Ud/a9k+yiQj6Jo8E+ETdvaaTr5Y5eHQ0zBc6vDy30cc1JutRJp+oKWYD5zotnHbW6Wz6/QoWJarlcVrPUEmj97u8QY5b8jn2P7WFho3d6O2mo+0Q12k+IuM7msz6AatNaYNiSZ+yvGJ0XsgQUl4rDOtQSkz2xgLbCplAhQCfwjgrnNCJv0UfKgbXFDBOYfQo/xUZmgBjj4ZxKMmigr1VAPAVThgLJ8KK9FeAwIUMp2I2nfivMKIKgbhCxlkhEKGUWF+hlFl5TXxWvC7+K8dTDGYoQKTCqlTORaFst7A9CwG+T7Iq//LLo4w9sQ1FOii2I/5W9qs4GKKwvacbDtP+QicXdXm5tX+UjgY3f68vPQrwSXnriccxlD7CTlTWr6QGK/3qtNRzPPevv6KtmcZtsSwXdQ1zYzgqb2p/+9tf+lC6rlLKfjV99rvMXLKI742G2Piz04j2vs3ES2fz889N/zDb88Q2Ot7Yy4773sOXyVJ+1Xx04gcQsGZcCXdqjFze5+c74TSLwikaTz/CqBqrjsWWKwy1EABfIVtJubbEMsfyqiv8uzhYo1Aq/e+UMm4fS4pfzOr9n0goP66E7Fc5/kKZfCFAqlwLYlxXGG/KNSre+8P65zjeZuL3gwG2/GAxf/EGueF732dD49VH21CM5YI9KsYCRe6ulLLtPQPdPPb4S8z8/jZmzT6Xb/jj8nMPP/RbCfCJMeDSS89mscHAj/tHue/uy8jE03zeYqQzfYTNp9SchtYPtdcVj/yBv9SXstAf59rrbmHP31Zz6OWd0pMv47v1QwCfKPHcVFrL5C//heGtb7Dnr6sZ2tzN1z74HSgwCqXEmK8c128/GJu+HjdhqbTztaEAX+4aljkCDz/0GwnwiRLBH41nTGJwUzf7H9xIpD/It772RfKZ0aPrtZyyBNPC2R85Z4ne5NF2W/HkfXjrnHy1exjvPzbw9QyUoZJMvo8D+JT9PVaJQBXxnVF8Y+j/GZPvmQdvpz+oYsP+jahSKowaDT2BIGaXkYgvjtljQpsFXVJFOp9lZv14sGvJqjR09nTKVFJHlZ6suobzJrv5w/NvkM1pSMXi/OVbX+Vbf/sbsWiSb37+Ynx9Izy95V1uu+Ir/OPtV2n0VBLNJZnWXM26jl0YM3p27e3ixisu5+HHXiQaD+ILRCXlXzBaTj1hHhcuO5FLfn47dosFs93EV6Yt5XdrX+Ur557Lr//+GONm1TLQOUAokuFbnzmZO5cvl+b7qlQOs0rFNFe1cIgnlczgqq7l8HAAb+QQ1c5mIqP99KUDzJ4yiX07D7CwYTJllU6eeuU9fvjzm9m55l1i8RC7OnoYiQawqHQYzUZI5GXohtcXY0FTNUa9hu0DXnpDISxaLVOmTCRtNtC/ZS+HRgK01FcxGg7ROzCMw2qSMt+pDU30dfYRVqnIqdPYrUb5Y+uqi85iz8Y9rNyzX8pe9Vod0+YuJirAHO8QNruZRROacZS10FTt4cUVb7J2/36MOiO5aAKtzYhPE6VFVclwbJRJ0yfQPK6K917exIHhPpk8qbZopPeUQKyMDi2ZWI7x9eMY6O+RgQj1lio6Q30SCMrrs8K2D6fKxvlnLEId07Ji3RrmNNaiUaklO2j/8AhBATaK9F6VGl8yIXFpl81AT48fq8OEyW4gEAlDJIfDasFgUBPP5GidMJ/9B9bSoHKRjCeJZJI4LQYGohFmzJmMeTTISDiFUEquOdzJvPmzCA34aK1poryighVvr+Tw8BDNdS4SKjvDw15MNj3aVJzmxoms2bmB0xdcSdS/EXXGwOoD2zAbDXKyKkCaiDCst1jJavOEoxlKnTo64kGSvhTlrkoG/QNibisnyQb0GBstMiBBgEjTG6p4d9dBzGod8UQKZ4mLzy7+DPG4n1MWL+ThF18hkg2jC6vZ0b5PhkgYBVvTU8PWw3uZWtfASGyECU2TiAWHGU3nyCYjTJg5kW9e/TPOv/IMmi0NHPK1U1lSwQ3fuIrNqw/y2PNPklQnWVA5nvVDB7CozNSVWZg5fxqPvbxS9iMxOa+ss1NhctKd9JMdzknvsO9+4WxeWr+NA4f6SAZTJFxpksEkjpSJGRMms7FrF3mrioqUnaxDR4laQyCWpTs0xOt3/5brfnwX0xxGBiMJ+kd9dGXCWDUG6p0lTGhdwoZ9r/GNy6/g1nvvpslZC6YMB3v6Zb80p/KY9DoOD/mxltqI9AbRO4zoTTpSg0m0dhWpSFpKeyxOIz+48Hp+/cTfCSXiVJR5GB7wkdMjpZS9faPSVuC33/kxGVWCBx59hMODAxIgN5jMZLIpptY1s2+wh1qbk/bAEOqs+DLLUukp56vXXUVgyM8//vUoX7zwLH5572MSCEsLX8UP0l3zyYwEVbSuD14XmLlaRUWlnXQyS3WFgUMHIqADmwD4DTnUKSPDcR8NjnIOBQZl+qrwJIvls9Lj7VDXiLxjIxiDiyZNlB50lkAMx7QZPP7cv4hGRTwMaPUq1GrBkMuTN6jRqTS4TSYyOieR5ABZtYpUICUTYyvKrQwOhOWYKY7f7BAebmlyGhV1tR6G/BGMWhNpbRq9YF+ldKSzCZnEqzdZmT9nNq9sXE86FJRengK4FusRwM3k8nJ2Dg1SUmJHl1cxpaKcoXSM8Z5SXt5zgKw5TU3aKdtsKBsm7EugNWtZUFMt/S9qS108snYrF86eylPbtqPOqWgodTO9opLXOw/QVFrFyKgfQyqDTgq0VegsJowGLY3lJTJMqMpsZcWhLk5qGUcmJ5JzuzGrtWjzKvyZsJS29w8EJLhoLjGy1GDhvVCcaCIhQVx1XIXTaKK+sVqGhWh1ahbMmM1fnnkSj9MuGbfRTJp5DTXk1Ro27O3EUWkhMBCR/p5CehrQxNCntYQCcfK5rJTx1lldNDU18MqaVUSTSbnvJoOOZC4l7RCqXA5KalowGwwc9O2hVO0hkU4Q8Yaoairl0pNO5c2NW1jx/gaWjW9kly/AmRNa6fT6sDmMvLhlFwubGxgNRtgfDpCPZlna3EiFw8JeS5xxIR3+aJR3ugdweUxSxivsIcwZDc5SF8NhH+lcjnpxg4G8vKElgnIWNIhE4yzPrt+FyiKSm62SqakTQUPRhLxGxdSgwmFnNBimPxQhlU3jsBsl61WAz6OROC0V5YQSCUYCQcnYmdHcQjgeoMJSRz49zEg0Ro3DwUgkwm1/+ucn8fPl0/q0/sclZK8SRPkApFEmYGICJMAe8Sjklgo7pfCH/AMn3cYDd135iTD5Tln9r48AGoVAQyGDT5loCVBlUskGlpw6++gkUbwmpI+FIIsAtBRZ61igSTEDTWkH5TWF5VhYhQBYYRUy3MZappDVVcyoKfbrKgTNCpNyBZilhCco+3nUn+6Dc1kMShQfU/H2j8VAK5ac/neeecXgXyFbqXifxnpevJ/F7Va4nWOdA2W/lfUXt3ExaKUcdzGwWXhsov2LWVrK5wr3vdhrTDDXjrZHAVBZHDZR2C+KpZSfNJNPXGsKs0wAw8JHSxyXYIL1/XXu0b5W3AeKGWTis8XsyrFM+UXfFAE04pyNJT9W+oDyKK7XsYJhRFsKkFB5XiyxLtzulmiSr/WMMOfbJ6H9INyguG8Xtn/h/o/FCvu4OhZjtrhPKW2pHKe4jgv701hjxX+y/X/Hu3EswFB8LjIQZOd9a/+PmXyif9qeD35kjPm4Ni5mKI41DhaOwcr1qEiZFdaxso7CthDLiPfHapvi9i7+bOENjmIWZ/F6CwH5jztvCqgpblaJ5R8aCfNw1kL79qc+9PljjVW/HYNhK9pDfEcXBisV7q/YpvjuLGRRF5fSpv/OjYWxxszi9ipuX+V7URm/Bej3/5TJ9+yGTby5YTWB0QS+cIyugB+NVUeNqlyGFDzynVtIhUS6XwKDVsPazl2s37KVVCiKSavHYPdgz5Tyjc8u4dfPv4lHZ+Gem6/nL9+5ngdWruHZ397FzZd8ma5+H+MbK7BbDPzs7vtpdtu48ZuX8PVLz8aMk2pDGWfOmMv1V1+O2aIjaU4yuaUeh9PM937xVaKqLP967z1+/Pd/MrOxgRvOXYo/EODe7cuZOXUC7f4QnmabDFJocNeis6rxmcGk09HodOG2mWhtaaNu8lR2DvSwdaSH3uFOQkEv9VoXB/YfwpsJYcip2LR7P7FMng29+1izZRPnn3kCVk0phzoOEbe5cJbY5AROldTjC8YxmrRE4kmMejXpdA5fKCF15FV2Gy6LhaWzZ6AdHEWtMzJ/XKOccI8ER2mqr8HjsZNIZdmwbz99iQgGnVpKbEcjSRrqG3nylbeIxDIkBWAmwiRcBrztu5kzZxI19Y2Y3DZsNht3/PU+brrttwx0DFNn85CJpVg0bxE2nY5ytY1MOkk4EmO4sxt/b4DTTltCPpFHbdEdsa8TWkudCk1ag8mqJRAblZ5i81tbWDxzHF86axk3XH4m37/2cm4673R+ftPllJtsUvJ40pL5jBhUrGrv4/3eIUZica6/8BzmTZvGKQuWsmj8RP504zUMeAPSqL91XCOOjA5LMM8fv/kVKkoq0GgMGDETOHyIWr2NVCpNqceCWrBN8jCSirHuvR2s7u4nksyQyuY4vqmZ7ft34iixYq52SGaLq6GScePqcGtMlFktJLVxXBYr41um8u7WjbRWlWJUd1Bb1UA0k+GcpcfJ8IIXHnmdE2bOoLWuhjPPvpDzTjqThVNnMhSIkh5Jsuy4xeTyEfJZOOf4E7EYzUwd14xmME250YxdSL0HwxLIMAo/sedW8LPrvkosFUanFX0iwua92+jv9BJJB8nZ1DgdNnSJKOXVDtoa6hlOB+jpCfL2uvVodXZOmDUTl9HG+6s2cfM3LkWlz9GR6ODUxfO5/cYvkeoPkI1GJYhX5ylh4YKZaO1aXvz7L7nr9h9x5vzFWEx6Wlsaaa0plQb8InUzPJJEg5pAOkZv7yB7u3tQZXLk0ynmeeq4/vyr+eL5Z1BS5ZR+jLNqJ5BU5ej3evnRrT9nXIWLCxYfzw9v/Sv+4DDrO31s6u/GR5qqCjsWh5XBUAhf/BCBXIo/P/AoC6fMIpHOsXd/D9l0nthwTBDN8Ifj1Fe60UUzggLE2eddQ7WpjIltDTK9+NSZi5k5YQIRf4J7lj9GJBiTd4wGh/xkVdDocdHTPYrarOXy885m6sQK/EMd1Lib0Bm0nDB3Mm889QLzW48jlkhIj7b2Ya8EpMXdC2HQesKU2Tz1j0c51HmImRV1bFq5BbvdwPzKWnQGDSq1GlXuCGtJV6GXfoYGj16CUxqjGn9viFQ0QygkFNdZZtY04HbacOddzBs/AbfTgjcWxW028+Yjb2HSmYgPJensGKa5upxMPkNVTQmJZJZcxskuX5j9h/aSNWdpqW+gscnNlJqpWPQGzIiUbK0EPwPxKJqsX4aomM16LGYDNeUe4rGM9Al0lziYOL6NEpeLVDpDJpWVctZqWyVVVhOTKqoIBjOM5iKc95nzWLJoMVaXkxWrVzK3sZXvfv4yJjbUcfGJJzGuroqvnLyAhMqAzq6jAgvTSyux6g002p08t2M3abUAs/IE1TGG0kH+cN255NJZKo1m3uvsptRqlKmrMv07LawJ4NTWVmZUVBMTASI5Nf64D68/RFltJSqzkbxRJwH1TE5Fz2gAfzDGbu8AC2vEtjVYDDpq3WWYNVYi+RhLJk/DNxJFrT0iRT1l4izeHA6IjHCsVRYWTptNWpXBT5SukS4O9w9QYtUzONjBA9efwc1nzMWiM0kmZVKjZlt7Fyp9nsBglJqScVKGHI7Gqalqlqm2KuORwKGoOk5/bID+0AhatQGzysTVX7qUeCRFPiH8TG0MxiMcHjnAtoObyaOmo68Lm8ZE6/gm6uvruOOJf0qAWAwigvFYphZSbzUpVY5Xtu7H7jTx7uFOdvePSgDO7jGRzmV5u7sT9ZCB/fEAaoMRq1PPRVOnUl1exrSGGqxGI37xGY1GXjM2i4gkEmClhVFS6HI52uN5rKUW6ks80n9Sr9Gh12jkdgw6rfw/6A1g0AuZr4rqUifpTF4yACP5jExg3tPfT/+on2Qmg16nZnB4QMr2N/VtZ18gIgHaTp+PWCr9Sf18+bQ+rf9xCYCskKWlTEAVsGaV7pIPTUQLEyEXvfydT6TlBy67/ENAlbKdQlmuYoAvSmE4iP1SAD5RMinxA0+gwsmsciyFk6ixZLrKa8UpsMfyBhQTz+IJXSHINdZkqpDhU+jRVbyeQtZLMfuhMB1VOaZLrvnGUQCk0Oi+eJ3F8sDiKmTaFS5X7KmksAaVc6awNIrbVXkUAI1yTAprUjwX6ylc7uP2TbSRktKo7NNYoJHCCixkzY01aRYgcqHnnPLZwuNStqn0t8JlFCZgoUF+4T4o0lQFCCsGAIuXVybhY3mMfZJMPrGNwmtLgOJi+4ItK9q28PwqbTkWYKrIbpVjU8CFwpRjyVL8/e+OnjOF2XYs9prYlrIPynaUdhbXulKFQIySgCv3tSgp+GfP75bHUngcxe05FmuxOAyieF+L/fWK26ZwewrbUzk+ZZ8LvS+P5ZmpsNL+XR+zsfpVMQip9FdlnBDvf1L+qvnFNx3tC4XXlHhe6N9WuH+F+6Zcz4XXcPEYrPQPZcwpvkFTeC7E+4VAXOH2ihm0xddx4XedYltx9DgLvFBFCWC6eCwa65wtG/ozI+svoaurny+2eXh8NMzF6siY1/lviwA+pR8Vg6BifCr8Tij0YZVS398fd7SPF/cPJUBJtNN/whwuXFZZ57F8GMVryvX/n7L5PjEm34Fty7n1rjs5dVor5Ep4dPVbqI0a3vjnQ6jUlfzglmvZeuAw5WVWRgNJzFY7TUYXU+dO4fGXXmVBSyvnnDiXm558BFU+hz2h55Ff/xytTQWWcpY//yg7D4Zoam5Fnwxy10vPYVLrufrMk/jzC69z/NKlvP3uCm454xJ+++IznLlgCesP7pLGiiabTab59oZHyGvzqLMweWoN8aiakdERRkYyWM1HTM9d1Q5SkSyt5RWkVSnG1VeRM5vZuaWDyioPe9oPkYpGyGrUMok0Hckwq7qJ7tAgTpOD7tgwDoOBTDjDl679Gv964j7aA6OU2EwsnDSTRYum86t7/sGjf39Otts111wgvadKLTbJBjEbtCQSWcnyENJOm9EkfZE6Rv3sGBjg9OMW4s9neH/DJpKJLMZSI+G+kEwFdaqMGJxGBkYClFY4mFndSsu4Cl557130ulL0bh2q/hDW8bOZNquFvctfp6akks37NxKJJVg8ZTGTFjSTGo2yasMm9vcN0lpeRl8yiTNnYsfIARL9SZylRk6YMROP3YJWZefB5S+SSQnnuqycFKvyGikZXjJ9Fnv370OvNWI0GhiKDBFJJqT0TPipTK+tpaphGu+vW01clSaojhOLphHxntPq2mi0Odns7SSYiWDK6aTvXNpq5/3De6lyeujuHWRafS37/INc+Zlzefat19EldESNKUpUVipcdjYPdEpvwQabAxUaDgVHKNGb8IZjkhlaW1WCiB89adHpkrG1ePYU/vzPe2mxeljX1c0pbW1c8NlTWL6/A1/7KOVtlby+4jXcRiNLpx/P0sWzuf0vd3PB6RfQ1XUAg9nE6k2rMOfLGV8yjfbUDrbt2cM3v/Ql7nriIcxpDYFMmtaKMk5YOJ268kZ+9/RD1BscYFSxr3eIKVWVpIJJPM017DvczviSVq695kKef305ddXVvLz6LW659dc8+Ks7GNJ4OaV+Ag+8+x5GdNS11hPyjwrLRBxGIzatmikTZvH86peprawgnrOQzcdJhyPozTbi3lGuuvQk7vnX6zRVTURHhKRoKZWKWCSBRqsnlUxitljQxlOkHTXokhHCiRA2s55EMkVSo5L+cOcsnEw0LXJ4hYJbRTKVJpEOolJZCPlG0Gm1GIw2aqsdjEYjaNCQy2UxqPVkVBmy4QQPvLUCp9bGkH8Yh9FKNpbiii9dxP3/eoVQPIgpq5P+YTmDaC4VlZXVHNh3GJVHS2QwgaPczGcXnYRJa+H+p56mrrJcMuD8kQTTqurZ1d8tQQdnuZ3hgQCZRI4lE5vZuLeDX936DXqGRvE4XIRiadZuWs/K9e9L+aQ4vngmI73eEirQaVSkkjmZVizAJuFP2FxdxUDIi9WkpklVhttplSywdDrDYCBIHg1Je4729gHSvhQWl5mGag9DiaiU2WuMWiZWVHKwdwCHy4bVosaksTEUGCEaS2AtsWAM5pk9dxG7duwkmQ0ylIwwsayBYDoomZuZXJ58KkdOlSWWzaBW27Go45TXVDK10kHThHHs27uXfR0x+n3DxNJxqlxuVu1eT529Cm90EIvGTVdvN/pyLYaUmqxIMhdjmiqLzqim46BX9i+DRYTvaJlf10DvqI/eVBh9Wo3GpCUbzZDS57Fq9ZKNqskLUFEj+9XM8lq2HurFp0tIv715pdUYdTqe3LgDlSZPrcfBeHc54Vgcg1bLudd8jq9+/zYaKlw0mF1Ulzp4escuzpwwgXAixuhIjFgqxeSGKoLxGKsG+7EZNURTCXJpqLe5UVsMUmZc5rQTT6Ykq9ObDPO5aTPQC4uEVJo1vYOoEjH2+0aoMLkYDAuZOZw5eQKrOjuY2NBEZWUL7+9dQ//QKAajgZwhT7nORjqd4je3XovRFycTHuRg1wg/f32tPP9LJrbxzns7MZu0VJSVs393D1qrBq1RTYnRJlORVSo1tTVVDPV5JVvUZNaTFWzseIYJ41rR6o1s3r5dsv20ZuFHpabC7mH8uGbycRXr9m8mG0tjsOqIJbMsnjqbt7dv4LTmcewa8CKwb7tVR1/Aj06nk1LuXCKHp85Bk9WBHR3GijK27uxA40zTqnezZXSA8ydNIZvL0uUNsObgYTxqM2aHmhAZah12ecNIMD0tej15rZqw8GoM+MnGVDSUuYQSnURKWDjkiCWyMuRDHFN5pZNNh7opc1jkjRYBlgdjcWLJtPT4lGzTnIpmAdyjxaLX0e0PIL4eQqEQbeVumeR+7wPPfxI/Xz6tT+t/XIoP37Huwhf7nSkTGvFDXWHyTbj6j1gqx/3H244OtLP3/m/y6iv34e8PS5CqkM2kTEyKvawESCSAiWLvNYXhdiy/uGKmUOG2CtkPxQwOhUmieF19XBUzFkQp2yrej2KgQ3m9eNIqpGjiuJTHwmMSVbxPxZ8Tz5W2KgSxFFDw32G4FDNWxOcV8KqQaagwS8ZiTor1KOyl4snmWEzDws8fyzNurONW+rOyj8qjcj4V8E1ph2N5/Y3Fuhzr/BQvW3gsH7d+5Rx8HIBTzOS784tNtFT851YPBwcTfO0fh8f05Ctup3+3Cj9XyKYtbgdlvBDXs2Awyc8WXXOF7SqWK2YeFfu6iSoEbov3XfHkK2TyHavG2ofiUhKJi/1Jx9qXwjqW7PpYLNRjtXNhFR5nMVtW7I/CZi6usViGyjpEgNAZn7mGr1x9GVWVZfyn1T/g5e77H/lI/yo8zmIG3lhjdOG+Fo7Dx2K0FbbBWCBZMRN1LMm1GBsLQe/Csaew3xX7Kip1rLF8rBs4nW/uJdsRJjDso0yr4eKvfZH3jL08fd0PP+LhKar4Gilm5ylVfJyKHYPCeFZ8I4/Vx4s9Ej+ujsWGLqxjMRuVz/27nnyfGMj3tZsvY1xrA4NdXnq8wwxHI5itBk6eN5fUsJ/Vew5IKdqycQ0sOvVEvn/XPWhyKrR5DWljnp9ccBI/f/VtVHoVjryZx+68A9IhLv3GrWhTOR568G/E2vfzjd/cx0BmlOPHT+Fb3/kFy5+4m6pxlfz8rkeJqxI8/J0buPTXd5LJ5jBFNahqtaiG1dKAXvgdTatpY+P+3aTUSfLxPOfPnc2zW/fw8n13cvZV1/CtC8/lL2+9RZXBSkdwlM8tOJ7HXn+TxupStHYzXb29MmkwL2lrUCnM7HNpJhjdDEfDBDJJZpZWsW1kgLg/jtNuImuFr5x9EW6HhxoXPPrqFl54522MDh2mnIZcXs2kqgpsBh25vOT2HQksEebjGg19QnZmMTESiOIniFnrIpUMY7c48efTDHX3Y7aamNZQTTCcltK7by9t5kuP/ovvX34Fz720mrg1hbffT43NzmAyiFltZvbUNiK2JDvf20e9s4G+WB+XLD6FDT3baCqvYuWWYVSJQWa1NjKSyPDulm2S+VNVbefCk8/kuRWvcNO11xEY6CavtvPM268zrqqBQ/0H2DcwQpnTiQMLo/EILRPLOXRwmGqDib5YiHAyxfUXn0UkEOGiK77D2ZecLifUZrOBCqeTfV196FJCW5/D6jKyqGYq7QPDHAp2SWmj8AUUktEpiybwwgtvo1Pr5WTUoFbhsJtwlFgYHolhEHIysx1vIEhdqYv+kTAZdQZfOsq0yjqiiSjeYJTFixaTCEWZM7GazpERenYepj8c4LhxzQz5Qpx8ztm8sWYnHT0HGI17qTGVEk5mOeu4aezs7KTMVY3VlufFbesls8yd0dE+4uONZ96R18c3vnI1Q1mf9DXMpHVo9GqmVNWxv6+bwZCPUrMZp92OVW/hgLcXl9ZMSptleCjA3IlNLFm8lD1bt7JxqBNdzsL48jqCmZiU45ZV1LBvTxeuMicdvi7SqTSNJVW0lteycv8WPDYzFx5/AY+vfpaZ9RPwJyN0DgwQHgwzeXIF86csYcjbwcsb1kvZvD+T4IxZSzj3wkvIxYbZ3r6Pfzz+NIlcEo3RIEFTkZ4cSMYx2/RMbGxkz+EOfvrFG4nlVLgqKvnqLd9ivM1NMJUSTnZUVJXLZNue4SHi2TQXHDeP1zbtRJ3V4ff70Vp0eAcC/Pp713PPE88zqamZZDaDzqYj0B1gy8C+IyapZeW0h3pIBTJMba0nG8uTVKsJpPwM+8JSmqk1q6m0ldDR04fRYpChC4I1ZDPYmDdnAvWNtTQZPdzx7DOU6fSkNAamtzSw23sATUBFZ8TPc/98lRtvvJQ9PX3YVTrC2iz5aA6DxSAl+moz6FNqEuk0OeEpptKi0uRo8lQwbXobOn+YfD5HOJ7CotcyKJJ8RaSrKo9eo2VVRwf1NidDyVEq1E56B724assYGvYxe1ILleWVvLNtvUylnVLrpjMeJzSckGOE2a2XCc+JcEKCmIe9Q9hNZs5bupQtO3cirDAODfShS+iJJOLUNJTRe3gAjUFDS7kLu9uBwWxh+/6DpFU52uz1dEb6CPpjct8ax9cxxeXGkUtTXWHjyfUH+dMtX2D1qi3YrQZ+/uQKciq99N5QW7WMc9rY3e1FrQWXyYK7rIyDHR3MnzAOkyrDwaEw42qaaGoulwFHezs7SWWzGFRqmXhr11sxWA1kclm8h4apqvOwqLWOTDqLL5jAqNbwTvsBvrh4DtlMnt7RUdYNDTLFUSIZar1JwfpSM81aSm2NjY7RMO2HhmlrLKHPF8ag0RBNpEimsoT0Scr0VsocVvpTYYKjIU5rncSQYMf5R7Ga9ew7OEheSKhzKubV1dOT8DM4HGJ+c6MEJVcePiQBzxKTlYC4MdEblQnc11x2PY8sf4BqtYPxE1rQpQLs7BhmwB+gssHBgUMjElgTvqYOpxG7yy5vNIiE4JQmzb23/Y6Vb77KG9vfxz8UxqoXYUxJWqpr6Q8O0dI8mc7DB4ipdDj1ItQnzM1fvpGHHv8noVyMyHCUiEjIvepz7Ni9n53rtzN5Wj3JTFYCaSORGJ+bMZU7318rvVPnNlSz1z/CRIuHUo+VYV+I7mSKQDxMKBDD6TBLKXVWp6POU4HPN0g+mWdyczX+eBCDWku1w8ZALEZHIEa/SE4OptF7DEx1VKAzaaVHqWBJJtMZmd7X4Rum0eSkLxAhI0JxNGnSsRxnTm6TgVHixoAA/N7uPCwVAPWlLhx6PRaDgU4BHqazaHJqTDoNyUyOBx7+FOT7tP53q5AhUTgJKpZ1iomZMmFQ6o9nXM2SRReTyn10QvnvlkhnX7v6CTJXfv3oRENMpgQYUAgIFU9kxWShMCxEsHUUoKEYuFNAweJSwIdjScjGko0qQEXh5H4sULG4itelgAbKOo41iRLLKcmrxwK+jiXxLFyfmOQpEjHxvgJ0FYIjxee/WDY2ltxrrM8ca6JXLEMunhyOda6Kt1c8Af7vJqSFx/dxyxe281ggwrFkeWPt27HaqVBmXVzFnykMqhD9esMJF3BZh1d64v5Py2TUM+HahTJcovCaKgQ9jyUbLj5eBYBfMDLAupJKruH5MQHCwutpLIB2rLYt7hcCtFLabSxgVAGzx7pZ8e/Wvwu4FbaP8BBVksAVL77CYxoLIC4GBYu3XXz9HEvuqrxWuH7RTuJcFII/SpsVsi7HamsRGrH3nnXEE0f82f4nJcgvT9aVyKCj4vYSVRjoo7ST3L+CfqYAvMVV2B+VsfNYMt/itim+ppQqbNtj9fePk+gXn5tiUHoswK54PB1rPcX2ED8aA/RW9rfYHuLfAa0LLQ+ONbYVl7LPYl8UsFD5XaCsq9hWQtm/wnOu1P9zkO9zV55DucnCdeecz5ub1/L6ul2U1Jm48vjPMHNWPZf98PdkcznpOXbcuEZ8qSw3XXmRDDR46pU3eL+/h5w6i96kZeb4Rvbu6uPRX93G9g3L+fuLb9M+HCEdTVPuceL1BXGVW6h2u1naOpV7Vr7FrPrJ7B09II3uM+k0+pgGq8Uize9jtixTGiew98B+TAYzi2dN47kNa1hYMZ7jj5spbOH59WOPkk7mJKMkm8pR4nBKud/hfB/hYAy9WUM+ryGZSKE163Dr9NI3yKMSSa9J8oY8mmiO+RV17OgeRO8xM8lqJZiJE4onKTda0Bn1rOrrxGgxkY+nMGt16IR/nUZLS3kJgVgKh8lAljx7u72YTGZCobBMrtXbdDgrPQwNepkxsZWeIS/JjIq2hhqGYwH00Qx7BnpotVfSGQugzuXQpQ1UN5ViMObYvPegBCa1aZ2cdA31+6iu9qBzGEhrtfS390ofPMxasvE0Uya2MtTXz+K5x1FTa+f5J9cQ1ycIB6NoNRq+etY5/O3NF7nlmpuorq/m/nvv5831m5ja1kyv3yu/DMOJJJl8CpfBjMXpwGO2sq3jgJQLugwWbFY7uwa6yCUznL1kAe9u2yV9sob9CU6ZP4/Dh/axNTBEubOacHCQxXNmsnLDVkaiYRlkIPz/zj9+Mc+veA+9Wy/TNiPDYdCoWHbcHPYf2E8mm8emM+IwG+gbDZDL5qWPlNssQjIyaC1anMYSzj5+EY+8s5yFUyax8f2tuHU6RuIRWksqZZLyieddzrd//BMMeiNhXZIvnHA8d739Ame2CSmrTiaTLpw3jbufeZwDnQMyOKWhppJwIoxJpaW1oZIth3o4f+4ksJbx8orVDI+GmdBcR2ffAFecNZ+tO3pJRJKUlVfQ2lzP8g3rmVBXw95DPcw+cRkvvv4sdSXVmCJphtJ+XFYREpEilUoSTccw6U3SZ04rWDs2PQsnL2Lf9s1cfsn57DvUxe7OA+wY7OGcMy6kQadjyJDnpWeeYnrrVDbv28ecCZOYUldHKjHIwb4stVU2xNxj0fGL6Dw0yE/+eifHz51CV2CY/v4Q2gjELSmh6OSqJRdLEP2VFa9jMan51W0PsmPbcn72pzsIhmJ885JrefaVJ/G4HKQ1Kg6P9pON5fBoSwmnAiRi4Co3Ul5XTbwjRFId5XOnns/+zk6SZj8bNuyjVGtlKBPi0s+eg79PACtJ3tu2XjJ1NSYz7X2d0gdQbxIAVBaNkGiGMnztS1+k3zfI2yveYvaCuSw4bjY//Mkd6Axqmfx9xvyFtFRWcPtDj0vwVWPQYdAJHzoVmWwarVZDFhXZVEaGCT12+w+59jd/IJFIoNYI5m0ag02L3qXlormncN8//kWNx0lKlSWXgnkTG+S1JSSpO9oHcZcZcVutGFQadvb1oFLpGRmJYLUbaSh1YvDYKLVVsrNjJ90DIxw/dzF7Dm8jGMlg0unxiusbkRyuZ3r1JDZ17pYAqt8fQego2yZU4g0F5LgxMhCSAGo6miKvgUqrg9baMn7nbgC+AADUdklEQVT6qwePfPF87Ub8sSHS2hz+RIR0OkuNo4I6g4HWBieqnBpPqYeacgPrdnThqJ7BwPaVvHCgh4xIA5ehNFFyySw6iw6NWiXZv3mdkT0Hu7j4gpMl47bR5WFv+0GiiSQ9+RBJv2Cd6UlEhT2BHo1Ww2RnGcFAjLg2QyydwWM006MJMtdQw3ZfN6dNmYg+p5WhDC8f2IvPF2VBYz2He3w015XgG46h0kNYI9Jf1ESdGaZ4yujrC1JWYqOvP4BfJdKGwarSMRKO4TIbObVtAkPhKIOxqAyaeP9Ql/Qs1Og1NBqdzJ/SIJNty5xWdrb3s8HfQ2woQTqTptxho9zlwmUzcsLpy3jw2ac5YfIcHnruVS44eQa+cIKBVECmIO9YP0hJhQ1/OIIqBNV1JYyrLaN25gIefuhBTlu0kMhQP1Z3BVPbJvPHZx8kHcjidBhoq6phw8F2zp45id5kmt6hESq0dgxGHX0pL9mIimA8zNTWWjZsbWfJ0gXUphJS/trpGyWZzcs+ctrEifxu9WpUORXjK0rZvr+X8+ZMlEFZo30BdgWCJNMpJnrcvN8ziMtuwKI1SllwXEj0owk5nvcngpw6vRUyeVb0dXJh82TJaA0korzadZjp9grJdBffAyMi4VncvMqrScXTUvItfLtnTalm78AwnYMBPjN5vAR8tXotK7ra5Q3AdDxLW2UpJpWQTGsJJaNEEinpMiIAQ61Gzb0PHmHEf1qf1v9WKayUYraTwkIqZHuNNRHWPvgn/C/cKmVaSm1Zt0c+Ps8JJAd/+RFj9lvXlXP9I1dxx0kt/PidQ8x75xn5npg0KJ5Fov6ZvugosFjsC6bsb7G3nMK4EOCDAG0URoOYaBR78xX69SnMQQGEFYJ/yoSoWJ6lTFqKAT4FcFBAEGXCWsy4KWbaKc8VoEkpZR8VNqCyj4rkVZmAKpMuhcVTvI5icKHQT02ZRBYCccWTyWJgYaxlCqtYBncsD8KxJsxjSX5FFU6Yiyf9SjsWnjv5+W/dzH2cK/9WQM5jgbLKMRYyocYCUY/lmXWsGguMLWYdfpxflrK8APpE+qwiux244ftHH8eSwFc+csTzVVxnQo655eK/870bSo+C6KIKAb6x2uJYrE6FGaSAx8cCMD8ONBSl9Pl/xzOtcL+U9z+OkTrW+j6OdSSug7evafhIirfoL5frnvoIc0q5HscCpcY6r2OBUKIKQZbC5/9dW/x3DKxCgHssoK+4xE2b3Z+//mh/KS4RtPSdEaccw7/73APyUZTof9OffZ2Oi87g95fMHJPRWri/yr6KtlPG+GIw6+NuiByrbxYeWzHTrXDbY7Vp8fWobFeUcqNJ6fdj9YPCNheg/LEYnsVjwFjLjeVvOhZgXgieKt+Tipeuslxh+ynXbKGXofL9qDz/d+W6hTf/RBVaNRQCjMcaa/+fg3xPPvkLlq/cwpfOuIC9vg7+8dCr2MfZeOHeV3nwb7/gyi+fwZ8fWMMbK15iQdNU1vXspc7lJJRMUKkqZX+iFzJZJpRVMK11PM+8+R4aSwafPyHlm587/2SsOitPvv460VQKq8HI6bOnU+suZ/3OHWzr7YE48oe/8JZSq/I019eT06npGullZDRCc1014XSStCpO2pdF49JwzfyFvLJrLz39PiZOrmV4NIYho6K5upHtB/bSPTSEx+TAaTbSlQjIEAidTosql6W1soK+sA9dViQJp3E5TExxVrLqwGGsZiOTyty819uNQ2XEaTeSV6tpD47QYHYwlIvxzN9f5itfvlga/TeVukhn81gMRnLk5WQyls9IIFBLDmOpDYfFRl9gGG02S18wgjqRI5XJUe4xo9brEaGm+WSSUChJRbmNMo0es6uMkUyUTm8fmXAalVYrvZJUljwWtY5IKo02msNstxKORcCsgaQKd96Eu8KNPpPFm4sSDScwWPTU6s1E9TlKLS5mTmxl9dYNDIQiTKmdSLnNzlu738eUUuHPJSXoZjboGAkGqSlzE0mm8EYiqOJ5nHYLRqseXVzPgw8+zqXXnk1AmPZndEyZ0sTm9/ZQKhh4qYhMb3RYDISSaaJCMipN/NXYLAbKSp0MxMLE+6KoPRoIZMmJ2WwiK4HREpOF2to6vP19hBNpKYfWq1UcGhjlovNOYjQWYWj3QTpHwoI4wvGzZ7F51y4iiQT5RIZJteWMq6rgtY69LJ20kNW716JVq5nkqCBAhltuvolLr7qJW3/wBTbu7KGzfSd/+MMTnHT+MozqPDHhwZbPU+G2kcmqKXe46QkMEc+k+f3NP+CvD9wjpY75tJaSch0jg0lMlQamupoZjCZIBPwynODdHXvIRdPMO24m+liUqrYmxttdbB0ZZnZdPduCQSqMeu59/GmMehNa8lx0+jn4/H506iQZrYYtW7czu62VUPD/x95bhllS3Wvfv+2uvdtdx10Zw51gwRKSQAwSouQQPxFCckKEHCQEQoBACBLcZXAZxt26Z9rdt7u911pNTYqdHpKcw/M87wf+c+2rp7dUrVpVa+1ed92SY2vvbvQGM4vKm/DY9NS2tDCZzGBKxdCYDMxraODNrdtZsGgF//3XW/nb7U9z8RfOYWTcL8GC4iIv6VQOFyb6oxMYcga8dif3/eVusmOHaD0U5me3Xo+3xIfd5OE3v7qFB278EWdfeQ3f/NKVdMZHyUVyGMr0WJM6kvY86UCGb1/0aQ4dPEzX5ACGbJbRYIwqr43BaJrh0THmVlbJtNYukQ5q1knJXkmRm+qqeWzd+zaR4Rhr1ixjx8FWEuNxDD4dukiW008+kd6uNoqraunv9zOvsYL9/R2Es3HcCT2z58/m4Vdfkd5k+RyY9QawaMgkc2QjGQxOvfQUFd6cgimn04DJZSKTz5IOZbB5jTKsIjgWxWI2U1bhQ5Myk0z6pdSh0egiI8ILTCbGQyHcdrNMnBWehiedOI+HXtxEd1+S+jITJ516Bvc8+SDmnJ7ailr6Y8PSZkCEB9m0ZlLZFMGJKOXVbob6/TSVVXB4dBCssLhiARqblvZD+2hpmEPXoVYyXg2RaFICfU/88Ud8/fvCAzGM1WHib/c8z3mXnyLZp0l9lthAknn1DZw4v4Z3d3dw8pJmYpqsnHvKPCW8umMbzVW13PjMq+REAGIoydrGFrZ2dRHR5sinstSXVRHWRTCJhGEgk8qT1uQpyzk4HBhmXlkJ8WyO1r4RCdaLuTyty0pPU5HiMpGOYHeZJYNraCSIQ2dm6YwKyQpz2C3s6xrAaTJis5mZSETxGaesDrqHJzBaNPSNRzCb9fRmIzIU5qSaeiYiRiLhcXrTkxIgEkEPS6qbiYZDON1e4jkt6cQ4u7oHyOpykuV93NJ1DI60MhKN4LDqCQhWakZDVptlZcNM3ti9h2wuT0WRB0Mevve5r3PrX+9iLJZgdHKMs5bOZjgcpnvCjw4NE7kkZW4HvYcnRPg75lIT2qyG5vIq6elnsuk4pnkZNW4Xm3s6GRkewe4wMDDmJ6PJc9YJJ5EORHhz52Zqymvp7e9hZn2NBDFD2SBxbQZjTkOVpxiXq5SWqhKWNtn50YPPiMMlMhzn6lPW8N/rN0jZ7MoZdWi0Ogz5LLFUjmV1VTy0aw9mg5azZs/m2fZDTIyEMNsNzK+sobVrEENOh1Gvo6ZasAzTNLuLCJBlLJimwW5lYCLIO/29HNvSyEQohn8ihM1ikdJrIUl2W03MaawmIa0ojDzdeYBEMMvJzU10j43TVFpKNptnfVublNU3etzotXrJ/jVotURzGdl3sVQGi1HHH+96/MP48+Wj+qj+x1XoN6eASEdj8RQu3tR36gsXUaKmY9YUslLUwJ4osdBWGHrK+6dbQKjbVch4KwSNpguhUG+vENhTS2xFHW3ROl1Nt/AvlKKJKpSNFbZxOgDkg0z+Cxeh0wFtHySH/aBQjMI2qz+nAKWFQQLq9xdeF+qAlEK5m/K56fp5OvaccswKy6SwD9TXhFquLMC/wvM0HbuwsI3TSds/SJY5HeAw3XEp9c/ku7L9R7kGC5mZheNBYSYpC35R4v+CiXdkHx8g2S1kCymgwnRtVuYGdb8r50jZhgKsKH2klhZ+UF+opetHO2dHq8JrT5S6fxTAWPbnvwB6qMd7IaCjrkJG33SAlRo8FABYYf9NNyeKEqzCo3mHqkst/1QDQtNtU6lC8OufsXXV7/9XWM6Fpe57NfCn9OG/Av6q2zPdsRS2XdnvdDLh6cBY9Q0OZbuFxzDdfKEG6BTwrXBOLeyHi45yraj7djrwUA1eixI3vpQxo/6sAiqqx7HS7+Jn4eeUUqTXCotPzfT/Zzc//q+DfJ/73LmkNfDZM08kqM1w+1+fQ6vXsLZlHocGO7jnTzdw180PkM1mKCnxsHF/B6P+AVYtWMlkOsSuvfsYG4/yu+9dwX/ecQ/R4Rh2j4WoJkmRzkkkk2aOz0cwEaOsrIqd7a18+sxTKXEY+d2dT6NFi91qk95Vv//dr7jlrpvpC0+ybuEc7n/oLXylJsLJNNq8VkqtNGgxmPWcs3QlL7+ziW9/48u8+842JuJxIik/nV29hCMpdGadNPLX2fUYjRrsRiu5bJpYLMUCTzk740M8d9eLnPGJU8lbpphBZy9fxdvbNjPsj6A3GNBaNZTabBIQ+OsN3+WVp98mk8lw26vv0Gzxks9rsJf5WDd/Jg9u3EBkIsDqijre3t2BYJavml/P7o5Bijx2eoIB4kIiGE0xt7GGTCJK3mnj2m98l2/+7FoyOhEmkafaVcVQfBhN2EowM4zerJGMtphgyUQSkkVlMOopd9kpsVs5PDmJw2JjYfMx7O54B0/GJOVqI/6QlOiN5OLMbp7JSH8fPoebQ329ZG06Eqkkx9ct4uWD2/BZrZy6egEvb93HaDjKp9atYcWi2bywfRtvbtlDPqfFpM1x/tqzePvQbkZHRlk4c5b0c9pwYDcVNrdMVAwItDahobKoiAa3Qzi38fb4AMlQSjLL9EadZElpY3kcLguRWIqlDfM41N+G2esgPhkmGkngqXCQCqeoKStm/2Av2agAktK89cbbXPeDy+hNZEgGE3hLi7Bls9T66lm/ZwvRsRgZTY50Mo3Za8SitVDqNXH7Lf8lzNi49DNX09sxirvIyTNPv8z1P/keW8f2kh/OEfWlsYTMhGJhTl21hr6BQcLpGIF8hHQwQ43Dzikrj+GRTa/zy6t/yJd/eS1VJhc6qxlLJsdgLsiiOUsJjgzzy5//nrfffIZ5s+Zy1Y+/hTVnIUSSFk8pXeNDGEx2bFotvoY68vEQ7+zaM3VeDVpqfT6Z5CpCbmbNaCQ8FGBOUwtnf/YSrv7KN9nZ28uipgaMWQNajY6UkJamItJcPxSLEs9mSGaS5PIZSgxuBpMBEtEUOemVlZfb1lk10pNLsHkEWCAAMpNGg8agkVLMmJDWZTQYTVq0GiNOu4Wls2awe1cXXfFh8uEsOo0Bm8sgQSudz4BdY8Ru1OKyuLjozHOoL3dTOedkjjt7Lddc+Cle2Pgm6UyGRcvn8OzbG3BqTQx1BbB5zZywYgmhYBCHrYRDfYeZM7eBp556HW+xA6+llGNXLMXm9jI5OYw2n+byL3+P737vC9QWleKt8JH1J/nL2y9LNpyYFkvKXTIMQBvLkSJLcYUXTX+SwXiYbD5DNinYRCIZVyuDFMxmAyV6u2QsJ0wZjl28lEPtXQwmJrBEDLRU+mTCaCKZkczSaCSJRq9hMhyT6dhRh4bkeIKM2UQsFCQSiZHW6AkmEhh1GTJ2E0YtZARzMKMlEIpLifvCxY0Mj/vxal00V9eRsuTYf/AgsVQQo9lADi2pRIYiVzGxhJ+m6tl09XSRyyX5ww9/wOU//bH0eAuE42TIMavES4O9jMZ6F5sO97PrwCA3f+kMdh7qJ1Tl4NGnt5KPZdEX6ZljdTG/okrKMe/bvAv0GnQCAc1q8NY6JCMuq8ljiObw6t10RIelB6nGrCE7mZUMwNIWH6lEksqUQ3oddgQD5DU5UmYhX9BwcnkL0Xic3pifuaXlBEIJQcaT/S3kn4dC45zdNAd/RAR1aOgdGpAJvjmDhpw+iz1lpKrUTTCuZXC8j7xNi8D50uE0Xp+TGCmZuuvRO5g5azbPvfOaDMwwGS0ko0msVoMc9+lERra7XudiIBqirqKErpExGiq8RAwJVq84nqKMicdefoH5s+ajj40zHo6w6VAPFpeRdEjIZjNyXhWS0yKflRg56ffo0Lmweu10tB2muaoOi1XHnq5OPJYistkkLRVOWocnKLLayGoM9I8M0+Sroba5Dv/YGGPJEEYrBOIRyTad4ammc6hHpure17mfZF9SAtPnLZvD8wc7iCUTLK+tIRpPSJZcKpNmUWUlNpuRTBo5h/zxzc3oLFrcTitLFi1n35YdmBJ5ykrcYM3RHgxSXjKLee4UnQJgNemIJxJsPjiII2OiobaI3sEJiisdRMcSMpSp3OdiycwGsrkksWSKp/e0otHmWVVXxxv7DnPagtnSt/HF1jZphzHbV/JegEgGo1bPRD6GxyAS1QVoqOOeez+S635U/29LWRgWMj3+GdBQuKBQFnSFcp1CcEzNxFMYVkoVAjOF0lilCheSSv0zUEwpNcPgg2SkhYEA0x2/Ugp4IRY9SnKg6Fu1pFiUWjar7nf1YrFQbqyu6eTUhZ/7IFZM4fEWghLKuSxsl5r1NR0zRQ0efJAcUzkGpdQA2XTg53QeVEeT1qnB4ulAIvV71NtSAA9x3hRm63QsSrX33D+TSBc+r/5ZyHr7ZwDfvyo5nm5bR2OuKX2rBjHV9UGg7nTjsfC6VM8nCmtUzbhUswGnA9OV8fTvyGgLj09d08mA1aWWIqrPf6Ff279aR2tP4bU/3XV0tJrumj+apFd5XQ3aKHNpIbg1HUhauN9CcFf5f6HlgfrzhazV6fpIAYmOBgCLEnOoGJfTed9N18bCY5nOgkDNni5MKj9a/x5tv4XXzXSS60Kg72jnu3CuuEiVElzI0FOqEEgtBDELbzQczTpAvE94TorvKzXIV8hqFaW0pRDk/7BBvg8tXVekFpY5PQQzOc4799PoDUYuWHss+0d6+MTZ54KmiZLScg50d/PyhoMcbG8XZCv0+jzmGEz6Ezh9Dn58+72YQhqKG0qJxeLkxrI0FpeQ12XZ2TtAIJtiR28rJWYnTzzzJtf97m9oNVoMFi3nn3oariIrX/nO9+juGaPCYGHH1jbc9RZMOjOxrIt7v/9Nnv7ptWiNGkp0Vp7csoGIJsX1d93OwPgAAf8QA/4Rsvk8brdNgh45MpitU+bs9jx8ZuXp1NZXsW2on1Qyy3nnnialcMKvqNnrJhZJSultpc8lZUnC/P2ePzzOX297CqyrOGndHCKjAZKkyWXy9CUCaPRZ7n36Ge789c9k6qZIHDxt5SyOXdTMRCCG12mVwINYJAqmX3VtC1FDirrZs3CYzazf8Q6XnXeKDOuwGuHCc9cQCoSIasZI6QRgJR55Zpp8LHZVcFJ9gww+OffCy7nsh9/H5jBzzMz5zKvQk0xmZGqlYI84rHa0GgPFRhc6MvROTtI23kdGm0ObyeM0Ggm5oxgMGsbSMZ7f0IZJp6XMa+eN1gO8sasNAlru+v6P+PTylVx20rk8uflFKpx6Tl2xkKw+S11zDdp4HofRiU5r4KdfuEJocbHktEz6Y3gddmosDl66524paUxlMlQZ7Zg9Zop0bsmy2TO4D7PZTHBikng6ictlk8Ek0WyKzokxKeG86sKLMddYOOXSE+n1p9FEk5xwylp0KQMGg4m9wwdZvnY2DU016O0mXLUODE4j37vyq5y54jj2vNvFhld2U1Xs4+2XHuemm37BOy8+SnVdLel4hgQpNCOQjAsZp46NW7ayYNV8sokEtkie+vISvGUVTIxH0FlM1NVaWblgCRqtnr6RYeKaDMloms6+w8xsruOsT57JU4+8weHWA4yNR+hPhMiltCxaspCG5ibmNtSgtRjo6j6Ez+aSvoRag46Tl69BZ/Oybt4yHBozVa5S6ZOVsbs46/yL2TPQL8GlwcgoOzNdbE+30zHRTdfIKLvHusgnsoxo/QRTUQw6IxaLk5u+9i2cJQ4MegMVXiefOedCLlx9GoaIhnRKI0HnfDTLgqoFJMMZzCkz5pQOa9aIJW3m2LoaYpNJ3np9J4lIAq/BLgMPYmNxAgNRSuweyvMuSvNeNBjpHhvlrr88xq4DHVz2jQsptjspm1fJJ8/9BH0jEzz44MvUuTysnLOUGS1VFHts7GzdT/vwIEWlFiKpFGVF1axZcwzHrjqGE088hsc3vMqenl0M9UX58yPPcNONP+fA4W5e27eNPz7wBM/t24LWqpUyTHGDQsgH0wNxGRogJPWB4RD+fEzK2a02k/QPFTciSkw2PF4HFrsJu8mIy2lFJxixehs5AzgNbi69/GJytnIO9Y7gEDLVVJrBcEiCI4KlajVoODw0SmfEz86DbRweGmEik2QyHpRMXVuVE2tej074udnMRIQ01aKT88vkmAieSLCvu5NTzzoebRTS+TRGk5tkKsfQZICxsRBdnR0ydGb/0F7OOudEFjYv5oWXN7OsaTkujZWFJVXMdpRQ6yglqklz4OAguwdGaKgv4ondHWwbnMA7kSE2HmVFcyVrfZUUmZwkUxmZuFpc7mLVglWS8SuYj2Mdk0wKltlAhIlQnENjAzJ4pnp+Fb64i5l1ZbhrnUQ64+QT4LAY6E37sVgM0pO0Ue+hPGFlPDTBRDhC59AYk7Ek48EwKW2WPWPDpNI5SswO3uztpi8eIRrzU+xzoHVoyOnSXDJ/ITlnhtboGL2hAXQuHXa3CZPJjNlhBGOORd4ygkMRegdH0QwP01xVKaWl4ibQotoKdHYj2bE0FW4HuWCGWbMXE4um2NfRRyaUY069j9RAEl14GK8zRaO3lpc3vM2s6gYO9wQ5d+FCzp9/DIsbGnBbnOQDefRaDQl9FkPQSCqeYGh8mPa2Q/JmVVdmgEOjfdKT9Ydf/TK+cgdbusTNgiTD8SCVVXWcuGwVSZ2JVze9SdtAO6sXL2aob4RMMsN4l1/On6vqa0jkMswzFTOvvoyMIc+wSY+gbZaZitg3NMahpF96UI5rzTzbf4jHDuzjkb27ue3VjWj0WmxmMxPDEbq372FubRlWj5UtA/1sPtTPvJo5tPXuYtehPhLxBJlomjOWzuSKk5dQ5LNR7LRjNOgpNdmprijGZbfic9nY39nP+tY2IqkM84uLKNKY2XG4n2qfh40i9XdkhDKnHXH/QDDyhehLXF8iPVqX1RJPZMR9BfKSx/tRfVT//yjFn02UmqEgFkFq4/fChdQ5v/0RP1r5cb68ppbTdxjk/yNDQc67IyDDAoShu3hN/Ayf62L9uvPl8//d00S4R4TLDUgWkbKgENtXL7QUMEBJyCz051MvkgrZOaIUOZIEFk+5RC5uxD4EQ2a6Rdw/yK+mSU490meqfYv2i22JxZZYJCngaSG7RpFJKp+fjjUl2qNum3go7ZBgU0F7pmufsihTA5dHAxDUr4l9qtslgD1l30q6qbp/1ADDdO0Qz4lzpxyL+F38XzmXYl+FC0LlmJVFpHhd9NsHsauUbYjFtuIZpU4AFg/xHtEv4qFc08p+xEJVAAmilIWteO19oSmqc1XYr+K9irxPGSNiH+J59WJdfE4NKhQew3TnSAHLvn5KsxxboRuuPfIQY0t5iHH143SPfI8Yh+L3M/OzjoxJ4bumnCelPep2KedHASXEQ4wfBcgQD+X9AgwQD2V707HXjozR9+YWwVpS+lY5F4WfU/p1utfUfSt+Kg/x+nQgpTL21cmn6vcp21eeU8awep/KOBLtLkyGVUqcd3V71CBLIbCtTmhVQOTCOVXMUcoYUI//6a4Xpe+VmyxKGwvnMXEcynlVSzSVdornhVxXXCtn/Oy773uIa0tcP+n8VfL3L9y3Tb5vdMzKntor5XUm3rM49cUj57BwDp+uxD7VTEKlr9VzvHgoAJ8oRR6qvEc9VwgWpnrbinXDdHO8+F2c08KkcvX1JfalzFei1DcRxHaVeVoBJkXfK+dI7F+0R9mvGvxSvueU77rCsSjOj9hWj2pcFYJ4Yj/KTyElV36fDoxVxpp6n9N51Ir3FX5fKfOlUopthdK/yvz4r4J7HwS0/x9l8p13xccwoeGhO34P1PDxy86kxOrFqNGg92owZO0smjOfWGSSGruNpFHLva+/zPc/9mmuf/p+GYxhyRiIp1Ikoylee/kVbvzNT5j0pxkI91DnKuVHP79F7uvNp//KjY/9DU0qjyaRwaA3knDlSWbTnD53ObvjnUz2hUjlMmhMGrTRPOsWLOVg1wEqq3xkhpPsigzQpC9hJBGUHnhF1iL6Bocpq3BTabezu3OAeY0l7B8dZ2n9LLbu3U9KD8lwEm0eDFYTp59+PK+//RZP3PkcF1x8Jg/84dfc8PsH+PzHz+D6P95CVzBEUpfj+x+7kNrTj2FiYIR333qX/dt34MibZJKgzWwjk0kzkAsRCcbQmrQyiXaBrwqDUUc4HpWpsNqchu5hP8FcgkQmg89qmWIlpqdYiaHijARnhARQk8tLSXGZzc54OoUmAxg1aJPgThhpKHNyoG8cu8VAty7M5084iydeeoWsPsdVl1zEzX+7H1vCgsmgJZnIYDTryer12G1mRpN+EuGUDBUQktloOInN4GBpVRFanRGbz8P+zjb8ISEBi2O16gnFUpx94nG8u2EHixbPwICTSreWmNFIa9cYExPjDA8NEcvGcBdZqTCW0j3Qx9rmavqGw3icdnaHR3jgV9eza88+fvHwX3BgJBbLE43FKPI6CSfiVGDimLMW8dzj7zIZTUipngDbHFVO9IkkkUSaIpObeDKKz1TCSauX8Phb71Dls7O4ZSaDbX1UVdezr7+dbWPtEkCJjyUxOY1UFDllmIXbU8zh7i5u/M2PxdKTC8//GkZnhkg2TiKYIWPKko+L5FEDyUhG+n8JRorOpiEj2E96LReuWsf67Zux+kwUp730JIPEQmEB+SLzXDJ5vnbZeby4fpOUcA+Fx7CZTTLRVPi6xeIpDFo9bodTLnhLnS7Jhkkl01i1GsxWC8P+capLyjk8Nohdo2Mkn6U4pqNTM8JTf17PvTfeygv7XubUFYt5bsNGeR09+qtbGOobA2uaK373CymLS4jE5JAGR7GTS0+4kM62rZy+ZhG/+9vjBNIJivVu3CL5MhRiMhGlurSM8cFxYsY0VTYfoVSMhhlNNBjdbG7dTandSTCapmtkiGg4xfJl89mxbT9mn4mKkgpq3GYOBUcJBuJ4jXpqm2rYsa+NY+auZm5ZFdWNldz71CMkk2lKnB46x/vJ6H3MLzGQcZoZG41zuOcw1SUVmLJaBkJDVBb7sBjs7Nx1mHPPOIXGhkY623ZTNm8uf7jlVorLPYyOB2XohADvzFq9ZAqdcNxSXlm/ieOPXcSetg7GhiNo0WDwGEhGM2hyOckmEtdJXlDqsrBm/gza+geZjIc5fdkayrRJXtnVxiVnncW9z7+G16HFaPbhy4bJ5NJYfV7GxwLsGOhnUWM9kVCE9tQ4+oxeppYmc1lqiyrp6O7GZjWSthqJh8Jo0oId7KKhuprhkQnGUhPSX665oZr6ohn85dWnWFjfQrXPjlHvYywwwZ7e/RRFtQyY4xgieXlu66pqGI4PERxOoU9BZWUpNquGjv5Jzp5Zx6FYiC2d/fK4nSYrwWwMTRLOnj+HF3d18pljFxGIx3mqrRWn1cQFM2Zx58YtOC1m/BEBkOald6bRZJQAtkgBFwNCb9Lhcdkpry+nc3sPGpeW02obebe1m5QuTzKZpcHnJJ0Ep0VPLJmhrMhBKJGhxGFnNBgkoc0SDCVxVS0kMLaL8WSEVCBH1qxFm86R9MexeSxkXMJfMU/Gn8RuMZOzgNNqlSy/RCTN2c1zJMvUYtXzuxfexGYzEY0mmVFUgUmT41DUj16j4ZiaGrL5LPuHxlhdW8W7/T2MBMJcdtJ5XHraAm579AlyuiC7WuOkcxGS6TzhaIomXxlGt57y2krefnMrWpuBZeWN7B7p4NR5y9ndPUh4MoTDaaN9sBerzsp4YBKvxULzzHq2HGpFCJ/PWLEQfd5FIp5Fo9Xw4uZ3KCkrwpPXMJZIkjSmsekMNJdUs72vnbNmNPPw5n0sbqqQjPADoVHywYy0bLDmreiMGYxZDTmzlnktTezp6SQdS2E0iGtaw7A/hEvc6MobKNZbsbtt9PdPMJSLsmLuErZv34HLa6TUbpNetmadgcpiG+FAmi2t/cyuLaN9YIxZ1WWMhGLC1VKyDNfOa2IsHJDz2YHuQZm6m85m8TitTMRi0uJBlLCBmOH1Ct6n9JP1mE30JwMY0lrC6TR6jZa//OWpD+PPl4/qo/ofl0iMFYvKOb7N/8DSKkxzFaWwmQT40zi3mlXrLiaX/p8Hb5iMWt5882EZvKEw8Qq989TtUFgLapnoBzE1pgPy1DIy9fGq2UdqhskH1XRS4OnqaIsg5Zj/WU0n5SpkynyQlPho0sEPYt19kEdc4XEdjV0ptqkwAI/mQaawpT6IUTSdZHC6thXKsKfrO1EKw3I6ZtrRqlCWO92CtZA5qD6Of6U/C0u59oX35XGrLiTxv1jymjUa/tpQIj0wC1mrhQt18X914MXR2D7qxM6jyR1FFabfHk0uruxT3c/Tyd8/SKKrlkROx6qarv4VoOJo7TiaPLcwSfpoY07dD9Nd12prBDWb62i2BNOFJCklXlP8BdUp2MLv8ZK+CTIpseD+n5XwJF72szf4zT0XT/v6P/PCVErtHafM7woDWl1HY90dDTgu/M6Yrp//Xcb00Y7hnzEs1XNIoY2Emj0s6mhzVOG4K3xNzdZTsw2Pdp2rvSeP5jVZ6Beo/p79Z3Oz+rX/63Ld39zwA7a3HWBVSwOBoUkODE+ybNEMls9bTHwyTlN9BZu2t3LcmjlEc3F+df+D/O6aa7ji+9cRSosEwRJu+tW9clv/9d9Xk57MseHAHp76zXW8c+Awxy+ci75qGX/86TXMW7OcX9xzL4ZIlisvPoN733mHn15yLtUNs/ji9dehEV5e41FyuRz5NBw/cy6Hxnv5+TVXsH13Kxs2bKcr7JfST5NJR4w0s0VgRTTIxSeeSlt3J29u3i59mfK6HNFQmrkrqujqHUOX10jPP4fTRHV5JQN9o6xeuIyXD7zDecvXseXdLk47rZHbX3kVQyhPNJpl/QN38fXvfVtKIF1pA1dfdQWXfedarrzkYzz/zjtSxuSwWBgYnSCug8Ul5dTOLmf/oWEGJsZZ2txC68gQM6ur2LB7v/Awl4tOvV3LF77yFV675wWKrMLQPMebvYcx2vUsdJWzJzxCfZGPWCjJ0roabFYrj7+6lVyRDkNaR62nmN6gYLnppOQynsmS0+ZkWqhbb0Ef12I06hjTRTELfz2LiUwqhU2rYzQcRyvM2TJZ3BYLWqMZfVpHRrBT9Cby+QyxVJZ8Nkc0HKWmoYrD3e0khBYMrfQF1No0eIxuLlh3ClsP7eaSM0/ih3/4I9lUlgablyKXmUMBP6eesoKn3twoaaczK5oI5kIMDYygS5oxaDSMx0LkM0KmqkOjE9LJDDqzcKUTnmoZ3CYLOpHkaMhiy1lJ5uJcuPos9rXto6G5hp7Rbvbs7uGTq4+nMxvC6IZX39rBmYuW8G53K59YsIZ7N79GrbUYg9HMgeHDPH73H9nw7gYObN1PWUMLf3j4PunjFokL3zYTqXSa2WV17B3pxKA1kUhExXDDaNXzheM/zvpN6zGZfejsKQ53jVBX5ZMMpebSWpxFXpqLqnlr3xZiuTCpVIols5ZwoGMXNaV1tHd3sKRlFuFYmOHJOB19PYTjSSmR1JlyzGtpRB/VU9ZYTnRsklPOOJt777sfTTzKUCJKidXD2uWL2XhoGwe7hkSMKP/1H99ixZqz2fHy49gcWr551+/RJDQyTRmDVoZsXHzaCfgTk5y+bC6/vucZEumMBNaF+b/J7cafDEIwR6XFQtSgIZPRYE2nCOvTYIRxf4w6h4/IZIpxQ0R6FeZTSF8zu9dEZDJOqddDNBwmr9NjcekoMlr5zbU/4dEnnueFLW/zs6/+kHsfeZyPHb8Sn9vBz/54K4lonKaKSobDAcqdTgbTERjL0hcNUOOuZdm8GsaCfvZ3dHLqoqW8tXUH3/3Gd/jmb34kJdk1pVUMTYwyq2kN4/GDjA1O+WxaXQZCwahk1pocBs4/8TS27tyMzmXjUGs3eouNXC6BPmuQ7FFDVkfOBDoRjBXJo7fq8JrN6O1OkrEwZ1xwAT0H2ugdHmWG2YRek+W1wQ4uWn0y977wkgwlmlHroz0cwK2zYzY5CIUnJZA9q66WtvF+Kb2NJ2LoMjkcZjcGkexhNhCdiGMXCdtzGwmIY48Mc9WF57P6xIu597Yb2D/Rw57Wvax0VrAvMoEun+dv970k59tzPnkqLqOeQCwpgUORUr2ouoae8AQ6vZYth3o5fd4M0qkMG4YHiE0msDkMnNEyk2qfi9/v2MwZlTOpKHbx2O5dhONpqotctPWMyrQwAXILHzydSw+JKR9CMc8Y9XoI59CWmjFrNcx2eNk4NizDlZKjUYrNVhlqUlPmIRJLUuZ18nZvF6c0thBMxOma8Ms5IaMRTC8NozHRByIWF4ZjYelpuNBXwVvtHZitRnJODYRFQp6GRfVz2XH4oJQFJ9Np1tY1Sd83c1bLHv8QgURCgvIivddqMeL0WJjnqSCnyfHavlYZVFFmtXLmmhO49bFHJSO7zOrmZ184kVue24DTXsKOgwdYMKMR8mbsFhvt/Qfonwjh8ThZPGcGuw+0snL2AsLZNBte3YnDa0Sr1+EtKaZzqBNfSTHnrVrLPU8/SWQ0JW+qeD0mTpi9mqpSK9tbe9jd08PMxnImAiGGwn60OWTCeMqkIzgawejQYtGYafK6SKfy1BTXsKFvr5y7J4angkqcFiNNq07h8BsvY7DoCEXjOAwW6W9osNjI51MYklb6J0fRanI0VPjoGfZDBs5Y2cKzb+2jqdpHUpdnVm0xE2NxgrEsUX+UGTUljEey+Gx6ecNla2snM2rLGE8E6fWH8OmtMk0+lknhc9mJiWQ64auLhoFImDlFPtL5PDadjqQA1XUQEb6swgszk+e++57+MP58+ag+qv9xKUDHdItMhe2kTmFV/1EvWR9nfoGmc+dj8QmT03+v4uMR2p/cw111xZzy1pQ/ZSEYN53nlVKFkuDC15WFYaHE64NklmopoWAYKuw18ZxghgmJcWGS6HSLpunAxunaUCgbPpqkUyyKBm5b/j7mxHSyRFFqya4SilCY0Kt+X2EVppUebRGpDm04GsBTmOSo9OW/U2q/tg+SJCrtUAPD04Gh8tgL5Mhq6ep0MtfC4/1X/bSmk6qr266uDwIAJRv2znf5cbmHWsFo/zerJ5nhZ0N+OdZmmI1HBSALx5K6TxTZZGG/KK8Xgn6ixGfEjQR1v4tSwgmmk04WyguVcyy2L8aeErShBvM+CKxV37RQhyh8UKm3ebR5qBAwUYNm00nP1c+r+07dxsJrpDD1Wf3e6WTehWmr0wFFCgioAEri/4IVKubym2/6EU1Ntfy71d7ew9e/cR3zvrCK297p+QeQSL2vwppuLlMfb6FUtdCrTr2dwprOM7Bw++rtFgJs6r6b7vtGLTFWt2068O1o3w/qY1aA3OnmlW9PY2sgbpCo027Vx614NSpjVrleP2g+VY6pEOCbLuH3aPXPLAVE/V8H+S665lwy0TwnLFjOWG8n+wZGsZiE/12eC9ecin9yhOPWLeLFDduY2zCTJ196kwMj3eSELNbmIBgN8/LfXuWPv7uOxze+JX2cTl87C7u5kuPmL2JGXTWUzpb7enf937j2jjtx5oyYiu3c+K1vcfkN13FyywLePriberuNHT2j2EusPPrTX/PtX97ASGycB+96iKFDr1Desop0fASDxcfPrv8JMRGiUTGHXQf2EfAHpS9cTXEZK2c38ZcnX+GGi4/nu4+/jcthAauWscEAOreBXDzHnIpictqphFwho7WbDRIcaQuOSW+qj512NulgkPb9e3FZjJKVZ7MY2TY2wm9/fB3u0hkMd77N3558hXRqnPVb25jtKqFlQRWv7e6irsRHV0c3cWOWvFHDsSUNbOruJp0Xe9OwqKkWgy7Pxm0dLJ5Vg4xc0ObpDoQYD0SIhRI4y814DUXos3nKPEZqi9wEU3EGhkPo7QbsLitDY0lWLZ3Du+9uw+Bwkk0lKHZa+MKpy0navHz1F3/kpLUryAeC+Oa2cGDLTjoGBvF4DLjsJewbPszHZyxmy2iQiL+fGTObKba6eWLjBkr0Dr73ucvkAjyTneTm3z9O1K7BEsqw5Nj5tO3u4ld/uF+e21MvPpETahpxWA2EYmlGcwkmkhEJrt596885+dNf59hZLewfGCCbyLB4xkLe2LINnTaPzqBnzfzZbNrZSmV9PQfb9jN/YTPzGhYQ6zggk3WHImEM+Sk5cTSVZmgyTonHJANVrAYjnX4//kSSwYkgWhMsX7iclClDz55DhMXCP5clF8tw6Ukr+NsbW5lTUkbMaqatswOHx0Y8kUKX1mJ2GbHqtNQ6S9ja2U1TZQlDsQDfPvky7t/4MpExPyF9nFVNi9nWvZtAKEaRw8XI5CQGi57/OPsSntm8QazYGZkch2wGg1nHUH9ISm21OZ2Ui3qMFvzpOA6rlXAoRi6blXK86poKXBoN2ayV8kovsx02/rh1E4tqZrGtdacU6ud1OvRGLflEjis/dSnZZAS7ycotjz0MEQ0iUzNv+7sc/5n7X+TjV5xFPJ0iHRTAcQMjEyG5SO+J+lkzcyaxiJ+uSJRgMCY9HmutFqqrGyirLOPw+BiH2/ZSoXcSjcWpKvXwzkifZHeJpGMB2CRjIj1Tg89p5rLTz6LMXcxND/4Vu83Orbfcz9mXnMSZM49n5oK57O7cT2f7YWrra9jT0crqppnMalnI6nPO47Irz5egaVymt5rIa7LUOLysWLyAT1x8CW9u3cZjTz3OiUuX8qf1L1LicjExGcJeYeWYhgaWzFjBwZ5u3tq6BZfTTF//KEtmLOas849l3+52Nu/dRbO3nJf3bZM+e3q9gfBkhBOWLKW7p4P2mJ98LM/ChkYi8RhVNQ6WLFzKnx97iXQoStyTJtubxVNpprGkkn2D/cz2leE0GhgIRxhOhTDmdJgTOjzlRgYCMYqMJoLhJPF8RoK6TaUNLJvRxMOvvQLmPOaMgZwmRV5IJN1uRidDmHQGgukw58ydw9bOPsYMUSx6E3atnqY5s+jafwiHyUYqZ6CuxIPVZKRjeJC0yYwunsBidZEPJ0mbhL2BFoNDz0gkxc79h/E5jeSiOSazKUxWg0zdFrNSVng0CjwvJHKsNejyOjnP663aKaZxViMDN0w2PXa7iUQkRywUk/LMk+Y00JsJYEjoaRepsOEsZSVWuZ0WZ5GUQ4u+TubSBONxApEEIW2K5HiGqhq3BPiEJ2Ikk+K02TOxGczc9OobaOwa3CYnZc5iRmKj5JLIwJlELMeZTS281dFNW3gUU0Ajg0uSphzaVJ5KT5EEQPf5R9HGYGZVI1GtnwqjlUA8QTSTIpTPkgnH8QfjOLxW8n4rek+MSDAhb9AMTYSpqvBh05pYv30rTq+VdCItLSG+cvmp/PedL3Dv7ffx7F9eQ2saZsfe/SSScQbDI+SzGsq9PsKaIMvrW0hnNKyet5T9h/bx0t49mLHgdOswYeHwyBCCKHn1pRdx96svko+kSZk1FBl8VNnz5DJZ9g6MEAqn0Vu0lBf5EJjoSFaAxnpqrFZ6RyOU+EqI56OMRwOUFRXj02sZGo0QiyUl+KZ16IlFUpJtWeE00zUZoLm8CK8A6iNpGitLae8bZ2w0ytCYn4tPWsYbO9qkfHdGfQUv9bfhzGqZXVIu06PFeQ9EknjcZinhrSsq4nDPECF9lvnFPhmIJIJCBFdHXPsGNNKXVgRx3PXnjzz5Pqr/t/XD6ze+L421cCE0XSmLIwXkEws7e7nr3963kIAJ4EIADx1XPvU+ua2a/VUIzBSygkQdbUGuyAOVQIZ/Zug/HWCnLJw/yES+cEFd6GM13aJS3c7C41AASrFIU8DYf9fE/oPCJQoXrIXJvh/ElFOYd0cLHFC/92g+U2qARN0/SjCEwugqPOYP6oNCZpOaJTkdy2s60KcQBFB8x940fPIf0qc/iMl3NOZkYU23OJ8OMBQy9893jx0B6f7dEpJK8XkFhFHqaEDQP1ukq1lRhcenyKQLgfCjXU/Tgezq+qCxKvpr8VmXsKisnh/3dk3Jsr/+XZZ84hw+++67/7BfNZB4NM+06fapXCsKE07x1SwEkZU+UYIwChlO6m0fDZRSH78CcBWyWqdjk32QnF3dZ9PtU8hwxVz8/HN3Mm/eDP7dEnYM4rtAXJ93fnrqxsg/O3+ivR8UGDIdy01d6n4vBLumY5cWnitR6nEv2iIA6elArEKATT2PFM7h6vM83ffX0b4XxLhRwG+FxdhTcPNqx81v8L1vfIEvfOGi9yXDF4LdheCmOg1bzeg7Gsh38O5rWBB9ldTXdr7Pj6/we7BwG/+ql+a/CvL9+7czjlKZfJ6l3jq27tpGMBYlGs+RNpqoMjsxa+y8svcVntq0BZfRyVtbdjOZiFNks5EWkqtIjONmL+KTXzyPMX9YShw12TyvbG5FyyF6e4f4wvmnUh4dZTSa4Prb7sGBgYA2yQ/PvIRkZJIvnXE2z7/yBtF0io64jqWzGugdHeO8/7wGPTrcZiPP/+UWNg+Pcu13lnHx1d/juks+x/auHkjmiEcyBGJBPnHqSYgG7Ds8zt6DbdLjbNEXr+Uy7e209nSyoKGEZ7e9S3AwSsiUpi8VIxZNYsnrOOOE42ndt49RIuQ1GrmY2rDpTXqiYzg1Rla6qhBCpNbBUWlQLgA+UWUNa9l74GYuuvAcXtl+iLJiJ0a3m0w6QUNtKYGAnxqRzOv34zQZOGfhXB7bvlcmSu7u6JVy4zlNldLPadv4AMdU1HLuOScwOTzKC+9uJafPk0mm0VmzVHuKSaQyDI+HyZjhhDPO4y9/uxufxcLgoB+D0UJTdRXbdu/GYtLz368KluSlCDOwUp2Wx3sPkWo/QJHdg0VnZiQYZ3aVm1rTbFLJBOZcgoF0lq3vHsRkN+GwmkhHUjTUzOHjP/oKnzztBHoyMXL+PFV6M90H+9Hr9Jz/mVOn/MzMFoxaHf54BrPJSDoWlx5vJ81t5MIvf09KIt/tPowmlkewove176PMY2XF3IW8vWsLPRMxEukE5mycfF7L7p2H2L+3k8UVZdgcFpxmC9lsTi4q24QHl1mLO2HA4zCTymUZjySI59KUuqwSaO4+sBczU2BYeZGb0YkgRS4b77T30DJzBoMjgxxfXkfXeD9erR1DkR6v3cOB4W50WhMa4fCfzxNOx5ntbOTu9Y8zFp3EXeSg3l3FnvbdVHk8WPRW+oeHsWlMpKNZ7t/wAulwlmQ+iafIQ2gsIMG097Sh5C2Qj+SYzMcgmWVhbTVvhg5KaaQAg5fPqMXjdRIYy7Cp4yBvHxqBCGw7uIucAAdtJuKxjPS1EumXwc5eTGYTN7/zjGTO2C1aaj2VdEz2obXqKM9MoX0iybQ/OUG1tYhENMFEJsLl53yKt/a+wcDwsFzk19SVMJCbwKzRcSgcIDzUz8bDB/AZLCwsKpfATFGZG4PJxLLSRnYFuqWfX1arxeVw4x/zEybFf//tcUq1XooqS6gsrebsC0+TqaztsX5C+/1oTVYi6SR2c55cNIE/pWXXroP85K6bmFvXwEBqUoLqAjwNJmMUO4uYP+LHUtLM48/8mEQmxYvv7ua0RWsIpVLUlSf45NW/4gdfPZ93dh3GbDHKwIvmykZM6SwdQ208cv8oRrMRc8ZMODEkJfN17kYsziSR0irWb9iM3mykqraEiaCfztEB6iureGd3J+/s6qLB6yLvddARGCOt05LQCG6eRvp5ivly79gAJzY38rctI1T53HKOGxmKkg1lmNREmVlVTId/klUttbSNjPHC3hGWL26mrX0CTFHGR9M43DoSyQg2h56JySBNxSVY9XrWNTfw5Oa9uJpM0hdy86btxCZTaAwT0je0q09PpdtBPJEmos1jMlsI9g7gc1gpdjnYFPRzlm0m7/R3UOXzMZn2U1zsYnLEjyAUGj06Kcf02twE0gHsxVbKDDZmNTfy8ht7qK0qIhYzEklPEJgIk4pnMHptZL1prJikPcCWkX78wzEcXhPrKptpqfZKZqFg7UVCcXL5HKF4gu2j/TR4i/AnExQ3VeP0xOkYncBjs0mwXhtP8e7eTukXuLChTgJWwVCKg6OHMZSYyCdzBCczpJIpXkrmCevSVDk8BI0JErEESzxlbOoaYFgfYVDaPsDKlgY6R4flzYTOSBinvZSBwCFmmMvpy6co9nnIplMEXSFMaPnkuWfhdjroObiLRM7Nnq7dEqxMkyaZzfKxtSdw0x0vUFfv5lu/+BrpZIJZ9jqa6rzkzGby+9NUOLzSGqK6eRnjXQEaljbz+lsb2NbXxdqWGlpHYvQcGpSs6PNOWodJo2P31q0c4y3mFX8fOsF8y0wwYCpilQgCWv8CRkOGnEjItuipsbnoPDSJES07R/3k0hpqSn0Mj4YprS9mYnCMlMZEkcslU24tBghF4tSUuBkcClFW4sNbbCMSSpBJWih2mhgY8dMz4sdk1lM1p5jXD7QTI4Mpm+Zg9yHsZq28EbKvb0gG9ei1OgKaJIFgWrJ7x+Mxzl44W4bBjAbC8uZAJpuTqbvChc9hMlJktsrQmY/qo/p/Xf/A8HrPy0otx5kOlBElFoYfZjtEycXBF6eYPpp0hUw4F6WweJSfhQDSz5eciT8c5+RURo7LY5/9Jr3JdAGA1s9nXppa5BRK33ZEk3y9bxyuG5DPvQ8Wu2rquZt/meTBy5f9w6KmEEST/aX2jeK/eOTrFfzm5r/34ZGFYEGYhPRheq+tok64s1sCCmo/MDVgpvTB0UoBNd937t7zsfqN6rMC+LgoNh9U7/tMzd9ltEfOv7KAvGHKr+nIQrwAmJGLvT9NLfaUdkqmk+oYHlb2P2XldaQdr184XwIq4qfoM3V9EMiqboNss2BCXjrFipR9/V5bfqMsiu+9kC+/15cPK4vx99oi+3vo7/us5R8BvukYZEcW2apr4WiMS1ECnFDXdCwusY3ISc1w5xj/2/rmK4fhPSaf4hsG77E2xb6nYaAWpgNf0D7McM3aqV+ueu8nULq0hobT5/ydafdPfLjU29FqhC2QiU//9M9kvOJGnmFaRqVaui9e73nkEu7L5sh3dfDtSxby8KlLuWXBFKFGec+JQ5NcaTJykdf+9+TcP/3XEdnx8Zc9wo/+o/wISCRKjNn3MfXeu1YulAD838e48lPNAhPnXrKnVGNdmTPU40G5DgvrfcDj1yumgMWXqmTKqbgejlxzBTcNjlyHR2GoCUBI7LMQ4Pp3mbUfVDee1MxthTdIVK+rr6vjJVv5/UCoqF2xJA9MRDj0y5eovu4FZly4GK8Ye++9Lto7cXAYV+84h40mAjVrefGFu7m2973xo+r3h4/CoBMl3rtjaFJ6VYr9CKux2tpKzg1Ogvs9hogCCB4lLEjMF/c9e9H7jlF5j7KPI9spsMMQ82vifce+R37nge8IeP78e9e7GmD03/4XNGWbpr6/VNeBWvJ+0Z+uOzKWp7a/puDG1989L9WlgHRrKvO8usfIzPe+P8S25dx98yVTTEf+MehD1CPpi6Ac2R//DlP5/3jwxtXLz2DfZBfHrJyLFjN2qwmrRs8fbn6QMz81T6bR5nQQ1iTwh+LSnH5sMkTIn+Sen/9IpnPOqqmUsKOQawrOmzCYF3/o/+jqa7CZjDy/aRtf/9FNGDVaInaYt7SGm597mG/cezt/feEFeuJhTlm4hPMWHUcyHpUS2AqHTybVavM6Nhxu5/ChDnkBmHRG5hx3HoZxMGOQstLTjllLz9gAG3Zuw2fO0j4yjP69HtIlk0zER+Ui457fP05RsQ+j20jOlJPm+zFrlmQsxlB6kkpLifSJ+923vsqvvvhZigw2ZtqLGQnH6ZkI4TIaWFNXzb3XX8NNP/wKv/jBlXzy1BN56rk30Gk1hBIpJkcDCO5CiauUWDZF86wGVsxsIq/TMBaMYDHr0OuEdFiDVivM+G1Y9UaS2gzjgRDxkQQ6nYs8Wi5edzzRbIxANMy7Y2O82tmDzWqmxubk4GsvYtLo+f1ND7GzYw+hWIhgLsU9dz+CJq/j+5echa3CKNmWuwZ7qfWUc+66Y/CH/cyaO0MyupKaNBajyIjU0zsxSbmnmJQxR1KfxpbWY7Dq+dr136WhxMOTL74t+1CrE8bzeQwaLZMWOHX5caxbchzr5i0koHNjMAg8L0MwFWZGlY9N3b0s95bzscYWjvM2EotkMGl12EwOMnkt9RW1LCtupGu4A6vGxMH2Pop1Jlw+GyarnjK3S15ToaiQteak/53w+ltaWSnZeUIyHQqnyJHDoNERiKcRLnlZbZ5MPkcym5L+iKUuGymDmc9+8ZuMj4zwqePmcnhyhDNXnYDJaEOvNdHW18FxyxehN2gZ06dxWu1M+KN4fF5K3EY0diOrl67k5JPW4bI7OTA2TCAak15ZGT184ROXMKduLg01tbRU1eExmiiyegknUziNZunbiPCjFIy+lIYml5ctw+0yyVQsfD1eC60dYzz9yjssXDoLt8WEJqoHox6zyYBRpyMSSPHsLTdzysxFPPKXv/LU9s08tOt1TGGtDFP5xuVXcOzxK2U/+Uej0m/t9l9ezfziUk6qbWBQH2LFsWsw6gQ7M8nJ80+nrq6Wiy+6FG1WRyQRo29iAofeQUVVLTXeGoaifl7t7OBQbJQNA70829bK9u52zCaLZHhlchmigZCclRKxDHa7lZQjzvx5s9h2aIv0DXTZjSQj48QyMYZSfk5ct5oH33ybvlSQvZNdeFpKMBiNDGknWHnMYprqK3EYrESjMTb1thI89Qy++/3LuOP2B+kbC5LUZXnp3beo8OlJpxL84pqLWLZ4AXVWD9FUEpPdzus7tmK3C2ZchO7gOCPDQSorfGzePkAugwRNEuk0PQc7cFc6MJYYGBwYRRPOkSDN/t5uFpSUSbbd7BlrmTWzmGwyT0WlR7K7Av60BOxtRhtr65t4vq0DrR76RwLYrQa+et758suhZV0DWY2GU+ctoXM8SCYuEmKzHBzuRZPLyrRdm8VMqb2aB//8gpTF1nhKKXXaZFK4Qa/juWdfY2ggNBVMExazQ568FkwOEzXFguGbImk1E08kSYQj0lMzFktLD7iGmnoe272XdC7HaCRILJBlNBWRHnsigEgkm4u7RsFkQLIxs6kcGoubUhHZI26IjEwyHOxj9eKllBc7JbNssHuCYH8Mgwh4CMRIasHiMhPP5WmqKiKVyknJsEh93Z/yYzAYKHHbWFZWw4GJEQYDQfoPd0pW3KyKUtLZNP3hAC2VJYSSCdLaHMOD42gjU9J9s8NEJpPFrrfgsTsxes2MGxIk8xn6BbgciNAyo4FJMlgsehLC6y6WxBDVSIBvMpaSTEGbTkN3uEPOXz2JAGLmCEQi+MejLK+ciTVrQK8xsmPfQTxljbSPtjI0EQRypEI5ihxenn71Vcl47D0YwBrQ49GaGR8PsWdsjOHeAUL+GPsGBomn8mzcshub00SwrZ/JUIicI88r77ZR6XBgKzJTXulj/952DnV18tKBTl482MkpS5YTn0wSJ0VPTw/3/+lB4tmsTFrPpzM4TUZyujwLqyo48djjKbLbcFfY2NXdJQNJ+g8PSi/FiXBMgnjpVJZ0Kkdc+B2mssxqKGdkMkIqlZXfzy4jjE2GyeaES6yGM5bMZHVtHTq9RnruiQTjfCqPXjgX5AS4nZfWE0KuL+YtEbIhb2SQx6jVSqZ2R2CCtLxRIlTpOpmwK4KdhIw6L1Y1H9VH9f+41KwQBZAQCwx1+IB4rpD5Ih4Xl638UNpQcUmx3L9k76nYGmpARwGrZADDDb89suCRwSCnXMLOWJLz3Tb+WFtMzeeOIZ1Oc3XfBPFc7kgggnifWOQoLAm1Mf6Zrz/MU01lbN/2JLf+9lpOcFg47rgV8jnlMc9qPGL8XnFVmfypSJjUVQjq/LPFzdEM/UV7leMW7VVASUXWpfx/OqCgkO2oLPYU8EBtIn8EdHuv3QqQpQA7hWCLuu8l0KIyiFdKnCexDzV4Kc5nIctEhmK8dw2K94vrToAv6nPz71bh5wQwol50S6CvYBGu9KPy+x+CN73vWNX9ou6TQjleYV+8D3wpqEKfMaXdSl9L4PVDBGBEld/6y/f9Lrw4lXYqpe4H8by4BsVzyqPq68ey5OoT5FgRP2dduky+t2jW1JhQn7vCGwOilPHotxmpPraZr//gGR5rKKP5vAW89tp6vHdseN/71deewsJTggZE2XVa5r768JH+n+5zni995h+AVcWqQADK4jyIsa0OclAAmUJmswIGir/bFDFhIatRCbMQpYw1NSgsHoXzhrr9ivxXjBnxEGNRtFPZvrqU+VndZ+r/C5BbzB1KUMR0n/+w6lfnfe59v6tl+qLUNyeU4ylkv8q/n80GvlXqfl8blcAQ8f+rVp/BuhOK+MH3vySf+87jd0lw62gAZqGsWnmu2OGS16C4ju+tcBOv1POr4QAbI4kjbVJvS/1dqIRvqAE5/gmwLT6vZperg17EZxSpsLLP12PXTTuGlGNR+k65dsV71DYC6nrtC3XyZ+FNqcLvH7HN6Pq3mDsYet/zhYzbwuv3aOf8fwLufegg3y1vPUsgnmT71lbyhpwMehD2kx/7xOmce8VPpNeOWWPEloKcVkMgEEWvNaCz6tnZ1k4g52fx4tPR6fWUeJ2sXjSfj687Do3wWgoE+NwPfs1f/vaKNBmOmFPk9Bm+euwivn7usTx681Pc+s3PMavIg8liY2dHO2OJLMFMlEXeCvb7J1jTOANNME4wGuMH372KOb6pk5LQ5ogbshSZizhl6SpMaTMrV6zFUWTFkBPJflMJfjsP7yGfF2bfUwuLsdQkzTq3iLHEhhaj08iBoQ4+fvw5jOb9DIeCJF2lXHHjrVTYXWwdG+JgYBThNhQXcjaNTspp7RYTRWYLt69/FoMpIhfctV4Xb+zdw9w5zfRNjElPpaFwFJ3RSC6dw2k2CJyKTC4nUzqXNM4knU0xHAth1uvYlxil49ABxtsP4XWaePGtTTLJ1OA0MzQ0SiSRkIurzQe6MNv01NbU8JlvfUJKZJ1uAxn/KLffdC2+IjNPvbKLm259Qpra7+nsYUadnQ079kpZ3p7WXZhcRoKRJEJlOTA+gcttJp1PyqCIBdUNMhm0yGLGbTLh9Xk4adUSTl01lzOXrWDFihNZfdwazlp5DGVlbiK6MI0LZpDUjdAWGOHg8DC6nI6BCT9VtiIOTIzjcrmwmE18YslCyTqKxEIYtBkeevNJ1g+0YcoaCGkTuK0ORtMxMsIX0AAD/kkswufNrGcoGKJ3NMBoLEIqnUWn0cqzbLXoWTtrvgTBXE4DnrwefzwljekzuTz6rIb+/jAmbZqbb/il9GFr9SeZSITYtmcXsVSIgdEhykpLiacz+HxOckktq+cs56KzTmPxzBlM+jMsnT+fjRt30XGok+FYkFqnm6ryEumN6PCYeev1d9jfcYBAJoXO6iGVMGDyGLjrJzdK4CIbz04BfSK5WeJ9OZLRLJ85/0IpixSSTrNRz7yaam5/7EHWHXscGHIkEwkJxAjvuGQszad+eA3v7GzjvIs+iU6rJRXKECvJUKaz8pdXnuTmv94v5YK//vrVpDV5tgwPMWf1MbzR3imZUH994Rn8uST3vPUoz7z5PO8c2sNLbz8jQxIy+Swt5WUytGTH3s20jrcRiMYFbIombiQeTVNW6iRGinwIyipdFLmtaO16afqvc+oxxzSkMjkefP55PDob1WUuMlY73f6wlE5PHBjl0ZeeJydkg1YvZU4n9zzyIKevXE5J1kuR1k1vzxAHx7rRWzUY8wbuvPVW6df57au/icGkIZMKYjWbeXdXG/NnzSVDhmKLmbjLhClrpL6+CbvJQLd/lC9eeCEesxm7y0zHYAf6Ig0ms462gS5aKqtJ6XMUtfhIjiYwuE1EMhnEnQ0BrLZHIpQ5fWw9tJ6hSQ0aIaO0W6Snod6SI57LEMiE2NvRJyWwmVSehsoitHkNo+EoLq+dfFeUYCJFX9jPuD/EOWesYMnsWTx++/P4Y37psxYnQ3mVjRPPPZ60mIdtWt482MEzrQfY3zvMcWetxeIxEo7HJetLazVgzggvOC3d/iCRZIpIIIy9zIpep+Xi+QtkQMeBvmHa+7owWY3YrFp0EpUBs16PJv+e/NZuxuZ101JSSUL42+X0DE8OYjbpuGLdaoqcNrLRDFt3bmPSlJDApcagw5TTEJkIyptAqXAKn6cEl90kWXh2q5l0WitsI8llM/SFJiWDsX1kjFqzF2eJWXqICmakAPyMWgM1bg99QwEGkhEC2RhxvZDvJggHolK+XWPyEIqEGPNPkp7IEJmISdAqm8hidJhp6+tlIBLEYbZjNhswiuCPbJol1bWUGM2E0wn6E2GICxJ4jlq3SLbWk41maWqoYPnc2Swqr+DA1h2Ua+D5d17DkNZQV15KnbuYYredqypKpWfszLpadCaYzAaJ5aB3coDkuLAMSOAqdXHK/MX0BLvpHxySHo+TiRgZnR7tcIpKj4OcHvL6PG67j+OOmcVYOIRIzBEhPMJL0uwx8dw961lQv1AYuTI2EpYAvwDIPEYrZp2OlrIizCbxfZInH8/hKrNKgNjpslLjq5T2ASLYx+uw0DcRkGz5QDiGw66X83w2k2EymSCUjGOxGTHqNVSVONHq9GzY3SkZgDaRZqzRy+8dkS7kcQozANBqNe99w2qOAHxCEpxKZ2R7EsmMvPElHoLFLAKfBKNPnA/tFLnko/qo/p+W8se4AvIoCymxAJnuj3i1vKn8r/d9KG0YfGhs2vTSf5DyCamu6nexyBKLfgEU/a7axxluGw0mA0XL/8rozAQjmSxtifQUW1HxF1z/0D+wwcRzQ2d9msWvPcJXn/ojC+68g731XrLbdsvnrv/EIp70R/li9xgPbBjjwo5hGr+xXS6O3I/8iW9/53q23vAKp3UP8R1vKa+s+/iRYxD1djjOCVfv4oS2AXbc8gZ9bx6WEn6x+BEgwY9+1MqKlR/nhM5Rzmkf4saRwJF2KQsk9cJcLBLFMSgyW3EuCs/VdJ6B6uNVJ0IW1nTMQGVBqTxEfxaGMijbVtqiSBoLt6Nuk2BsSuCoes2RNikeUsq1eDQQVF0KqDKdWb4Cbij7VfpSvK5OxFXSOcXnFWBQOdbCflHOjRoYVW9TATbV8lX1+5RSSwMLQxT+T5Uy1uW5UvkSKqVImRUwrbCe+Oa1GO0m4p/6Ck9efS2rTHWSAeWs9b7vOBSQrPCcq+WyprJLsDuK+PUnF3HH1gFOigTlmBVjW7xHjJXdd0wl+yo1tLmLpnl/79NfDPqZf9LUmBPtPTDUS+iJqRTbM+JxydS69me3sKZ1QD7U7FblHIn9rX4izOTDbWy+fj3bb3qdpm4T3zpn9t/PayDKll+/zDl3b+aEEz7FCe0jcttPX3o/1/znQRrmnCQ/G3+mm40bd8rPiX6+5tfH8OuWmZzbPkRtw7GM/PplTrlr07TjTOkXsT8B+KivW+UGQ2EVglCi1FJNcS1/EGguxlkhOPdhlRi7hWm+om3iWArnLaXNj392OYevWsOzn1tx5DUFTFMA0r9N7uDdRQt4sH8KpP71+Z8/Eto0XamBRHVCrCidSSev40qjngcGozi1Gg616I98//xg+Xmkb3iN1t+/y8y6dey7d5NMGFauI1HiunpowxVcV9vAzt+8xtDtr9F2zVffN/e+E47TvPBU3vhSI1/rHWN0dz/VNWsJZ3NHjj3UO8lVPWPs+PWrLGk4jsrfv0U2lXkf+Oxd5zyyzYcmw+y6/W2a/2Mv3XduZ+l5l8r3K9sT1+xphwa56tRfYPXZObltkG/1jTOemWLOi2PsuGmAW0YC8n3br2zgD6NBcQv7A8+ren5Tl/Ld+mHdnPjQPPnOuvhMmRJrtRtI6HKkIxlKXE7GoiGyqTxGg14GIxhNWixGE0OTQeZXV9E/6ScjYjxzGm695st8/r9uJJNKY9IbOXvtSpbPXsBPfvNHdDodQb1IawStWScXluvmLOCy81dj15Txs/vuo6uvk1Q2izauIzQW5trLz2DVmadzxx0v8NbhtwmFkpy8fBFbO1s5tmUhEeFdVlVFZMJPOqVle89OwpMxKS0SgQ4V9nKCmQnOWriUZ/dsw2E0yGTO2OiYTLgNBOMY9QYqnW78pjTOrIn9w0MS4Ksp9jAeivPkX54Vp5MvfvZbkoUgUhKFl9BwIsbxLTN46cB+2X9CiJTNQ7mziFQshtFswKszkfR6abSbiLhsFDu97Nm5i7yvhKH9+6ScVWCOwoetpbxUpld6iotFhgZDY4MMJ+M0VM1g/+HtrGuZQfdQlMnMGEVWF8YiD6VuOyXxlJRNCc+/pCHHeG+YrEiBdegpcdjomwyhy4PRrCNn1mGIaSgrL8GmMWA2w7sHDlNV6sMfinHqstVow0M8eaiNTy1cwDMH2vCJVEuXiT7CHGOqYuaCVeze/i4el4EDI6MYYxkaKsv55i9u5dIrziMs+tSmxWwy8bNPfY/fPHAD84pLeedAN9UVDvqjMVYtaGRkvJjdbW9ywXHreGPrLvqSfojm5cJZ7zBgTenICNuNdAaX10W9zYbWoJWLRmFcZUxocFrNFLtshMIJ2ZbuUBBnkQmH0SRZReVWO2N+kW6sIWMUcK+Gek8FemOST33ycna89TJxtGxt7cEhmE4VjSTyMdz2ch555xnOW3UsX7366zx858O81v4WtriVuC7LofYujqteRO3Sal4Z3EVT3ill0j3th5nbPItTTj2Zh55bz9zmRnoGezHnDezpPcTkaJDRSBiNWBWLVFe9aFkOjUlHPp1lUUsziUAek2dqMV9U7WVyaJSa0mKOX7iKzr5uMokUT2x+RyaT5gMZzjvvdBq8dv74wvNSXve5k87mpqcewZTXkgzmcLqMJE15nrnzeX7/q2vY1HoYa05DZzDEj7/zfd7euYmDu7ZL2X0mAA6PnnQoi7fMxPh4goa6FobHu5iMpqWENp/RM+Tvo6qoTIJCG7btIp3PyIW70WYiKXzcDODUm7CUOmh2lNMXCuDBQvd4N+eddSKvv93KwGA3erOe2bXV7O7rocLspqzUza7+Hk5ZtIyJUJz2/sOkLeDvD1PqcjAWiPKd//gGowd7eOiFp3BZ3IymxnAIqajPjbPJjqkjwVA2giYMy49byBtvb+JHX/4Wv779ZubNmsvGrdsodZcRyE3KAIofXPVFcjkDmfw4G3e0snHrXj5/5inc+dLL5A3i/OTxGCzSP84hQJPSeg73H6baVUq/f5wigwlbSQl6fYpUxkitzUTvcJhQKkBahNQYnaxePoeNG7YwFhHpvnkqfB4MWp2U4Lt1FrpTQUwaLaXlPslkW1k3m6e3bMSOFU+pm97hbta1zGTd2gXc8syzRP15IoYE6dEM6VQanUkgdIJErSUZz+BzuAmEI5Lh6rE78JWW4syk0GjyuGwWNnT2YLXpCAzFMZcasWvsmMgwHA5JwEYngFyMkvlVX+aiZyIsA3EuXjqP1w50Spm0TqsjlslKiYkAnvOJPFqzVkrply1pobN/AG1OS9Yi7mbkcZgc9HaM8Pl1S9nW3U84lsLtsrF3aEiCqOfPW0BP0M9YKMC4mEPEwjcakXNjLpDn+EUtRJJxJsJxOsbH8XjtpPV59BqRgJuQHpSCTmavtJGPCAMESGczMn1Xq9dgchowxoRUOIOpzMixzQvYuGMvcW2GmSUlDI4G0OtMnH/SMh54ZiMxIrisVmLpFBUeHzozuIwutra1ks9nJdPNW2IlGExx2polrH9jl2S3x5NxKm12aptbGAxrmZzsJBKa5GMnnMTfXniBY+avJenvYyKmYyI6KIM6hF9pTgM2nZHgeIi4Jksql+ac40/kmZdepaaiiZLyYrbs2SS/abylNmLhJGvq68ikBUBo5c2OTsl6FOE9xRar/H4bT8Xk97DwM6zVO0hEMwTjSRkqJEI0BAhsNGqo8tgZiUSpL/cwPBajxONgNBgmGkzgtTvoHw9LJujs+jJGxwfI6kzyuysYjssbFC6DkYbiYkw6DRqRWiMTxnPyu/6dbiFayMmwK7GoF/65XpMJh9lK1/gkzz0yJWv6qD6q/1elNtJX+xkdzTxe7W+k+DD9bz35xOef//GvjnjRTedRV+hvpC61D5Eo8Z7cHb9l3bpP8PLL9zJzRoN87iZ3gsO7w/y+tnjapEC1BPOKuafKv7F/WVUkX7trLMRDkxHmW41cWezkxlNasJU6OfDXLXIe+01KBOxoeSoQ5YVgjAcbSnHqtOyOJflO/wTfLHUx+ak/8cbgrwk8vIPTXVY+53PyeijO9cN+flrhxfjVr1A/u5KDB9pZfc8D04ZGKPIttS+S4hcmGHDifBYy7xSDdjXoVhiqMN0+1M9N54NY2P8KSKYkNSuS6MJzdzQfuH/Fn266KmQxTcfmmm5bhenRhb6O4pj3j684IvGcrq/+WX1QIIRS0/m/KTJ6pd8VT70P05NPDYKqx756vB3NZF/pVxFKdui2TdgXllK1plE+J7Yhxo9/dgu/DYxNK20ulNGK93zngZ38YGCCeWefzA2//b5878pwGX988FHWe6aADfE+AfINbe5h8dePm/KTO/eXuA+9xgMHXpafif/2VYbnlfNoKMM3z5pJ741vYFrdwO8HwlQ9dLsE8qfzXFv2x3d55dQZmNwWkv44nS/sx1VXxLYn7pfn4rIWLz1P78UiLJ5OmskP3uykxKDjppEg3akMXyp24tPr+E6Dm97XD/NAbTE3X7qYZCjBxP5Bfto+SfN9v+fRj1/BLaNBZn3uGByV7n+QR6tBUQVkVrzaPig0pPC1wnRk9ZgvnNOVufh/68k33ec/yONObQ1ReDNCzGeCNPFflV7WOSz/wGgT200EYuy85c0pue67f2fSiWp/ag+N1mI0J5fL3wtTh5VrsHxFLX/tDfOfV7/F4MsXcOjRnVSsauDhyaQ8L4+vPo9bFldgr3BN3ejd5ubAwZfYs/UZPvfgjXJbG697gRK9ji+XODnxoT9wz58f4577n+DZ2hKuu2Qhecv32faDdZSf8kWKGluJDofoeaWVVDjJC83l/OyShSQmo+y+YwNf9djZ/PUn+N3xJj57wnH4Z5bQdPZUfwlw+/sn+zhpX07Or2ueDPOrz32Z6upytl5yFd+NxY9cs6JuW/4xfj0cwDFrNVWr8vLv0vYnd7MmleMnFVOg/P0TYf46EeZ7ItTHqJffc6+F41jnn8S8r9wxbcpuocS60Cv1g/xKxWvi3P5fZfLlTQK80pFJ59CLO/aaHCOTAfJi9ZHTkM9Cqa0Ui84gPddyiSw9/km+/smLWFU9m8f/9Fte27YXQWXL57TEoxmefmEjP/ntn6RcK2kSqa1Gqst8zJ5djSaZo7HYzU9vuJ8rf/kLPE6bBCZ+evEF/Pgz5/HaX6+mKxDgOzf/jmd2v0p9RRFlVgev7t2FMW3i3b27iI3FuPuvj/Park3kjRlGh0LEU2m0eShxWBhPj0hp5zO7tuAxGLCho7ezi3A6idXiYUlTAy01U3LPZqMbm8FIMpmiwulmLBQThAVu+8P1XHDRV7BbzJINISScyWyG/77qY5x1Uo2UgoqKicAEDUxmYgxnYyytKaXE62DPtj1kHEbe2bWFt0WipwiYSILPbZfsKyGDEv5/wgtLgB69E6P0Bv0kMlnpn+TwaLDZXCQsXiKaSVw2J+3DQ6TSIXYf7OXul7ZQVjKT/a1jVJbNZ3ZLJctmV8uFY68/TJHLgtliIJBOShZkc0UJLRWVDPpDzD92FUaNjslwlAxZEqYEE6EE5zbP4Lm9+xlJheg3ZOgMT3LJ8hXobUb27n6H6nKXpGlXW5247S7SuSyvP3EH99/xBHf//AbqfZUcu2QpT+9+jBq3ncEJP1Frlv2jE1xw+tnMal5KW/cmWmqreXXnFpKpuAxBEVJFt9cqZYChWIJ4KkkynWNobBSNAPa0U1JUcX7FglSIyoTUTDLoTEYafV4W19bitlixak2sXnkKHoeNpsoivnHJ52n2zKV/Yph0RMf3/+tXbNk/yBsHD5JJxBiJB+hu20P3cDfd3V0SMNvbe4CH776Bfd2HCQ/HCOSi9A8PUlNZxMbgPh554QVGtw/QExilrnoW/fE4T7z1Lpt29nLeccdx3gVfIOj305+KSE/GUDYhF7uYpigskp1mMJBLZKRsdGIohEtIeOMxzLkUyTE/xUUlWJ2zufHR+3h1z06MIn3Ylkefg2uu/AShYIwDQ0PMc9fx7U9exe2PPS59z/JmHb4KM+FsklKjk29d/VnpA3buySczY+kSDE4daxZXUqXX0lTeQI3LS8aWptjhxOyycXgoRCqvIewfZHQ8zOdPOZvYeIK2wcPEMkk6hvrZ3npQyhxzGi16q2EqgVU4Sxo0hDNpTp6zlpmzZ3Pyknm0DnaQS2d55qmNZNNBZtZWYdOaSWayaHJ5ZjY3EE7EyY1naKmfQSQRYE5tC5mJlEzmFP6IInjmT7ffzVsbN+DxOUhmE5Q4iyjyubDo9XS91U1/KkQ2nmdm/VxefXEDl6++mNvuuo3jjplDT9cgtSXl1DlNPHvfQ8xuaOKXt97FS2++yJ8efpHOzgGZkvzgO+/g9FjljQmn3kJzTQPpTI5181bSUFmGSasnZ0qTSCXRGHNUFFtY0DyXwe5u3m5rYyIuWAhJch47ZKLs3bGPpdXV2Fwm1jY0U1pegyNrlSxLsY9QNMpYMEbfuJ+OjiHWb9tBNJWipsTK/o52ySp78cB+br//RcxBuwT4GovKZEq2xigYWxbmNyzBJowL9AZOWbqayopyufAKx6IEJ4epK3NJhpWQXLo9LvIpHUanAYPOQDwTI6BJ4SkuYs28ZThdLj57zDI0Jg0tlRWcM3cGJ86op384zLHNNRjtFk5qapAg5cUL5uK0WLA4TOQyOTluinWluHVivoRLGudzcdN8ypNGfnfdt7lv325aSkrpT4fYHxilxVZEVp/libY9HOgcIBCMSWn2eCaO21eE1WEjb8lhLDLhLrHTEwlLGW25w0WDy83K0hp8egfnLpuLs9hKfDxBPJ4ikUyDTiM9WW3CxzOfJZbPYfQayE3mSGftXP+f3+GnX7qKfn+QhY2V5CwpHtmwgR996QsYfCaqbW5OmtPC3LIixvr97Bk4LMGrGeWV6MR3pNaAyWni+Y3bwJ7HV+xDk9czFIlzuOMQwf59DPf1Sw/O9oOHyKRybGvdTCyjJa2doM5TRDafwmqxsaS5lmJPCbNmzkJXpMUkJNIZHY3NVZQ5LWzbt4VzFs9Cl81j0dhIJWFjTz+7BofYMNBNg69OEACptVUwnI5iMRill6pgP5vDGg6Njkm/PjN6mWQs5OE2kZirNZDI5hmJxNg/EJDSW2HFIPxcNTqDBI1FGyO5ODu6ewk7DDKwY3gyRCydpsLpRGcUzFBkkrter0WXzxLPpGkL+qWHqmDPhnV2yssb5PdSKJEmGI1T4rB+WH++fFQf1f+41Is9hQWhZg2Ims7gXTCvhr7y/Q+t54VUVzCehN+eKIVJpMgfC0EVwew5mjTrmgvm8b3TL2fZ0nlYvvZ3cMd0KEmpSEx/r5RFiVigqH3nlO3sq/g7Y0KU8Pv9z3IPph/+QAJ8gnURGQzScsFC7vrMUrmg/+3PZ2HXarh65VflZx60pFh28pV8afMzXPrMN/nT9kG+4HNKMFDUSCaDV69jmc3Eknvuwvudn/HJT579D/2tluWK3yu/vEX+FP0gFvKi7YqBfeECTBzPdKy6wsW+cv4V3y/RL0dARhXAV8isE+8R5060QwJi7wF8ohR5mxqsVM6naPvRAD71+fxnpcgcp2OXiHap5W9KH6oDGBT2ofTmU7GLxHGoAT7lNeUaUbNgle0qrL/CPv135JFqn0zhb/dhsvrUjC2lvxQAtFBaLP4v+k/pH+WhXsBfVrkKfyBEyYLK9223SK/FdaDtyHvFuZ5O1n3bWJBTeifZfP1rnNcxLPnwn92580g7Avc9+k9Bg+HMbjlWFTCps8TO2sPj8jM3Piu88eG8g6MU6XWSfagGwRUJsuiDrVeu4qVf3IDZbcVVX8QPTSYmDgy975oSCr/60+dw+6Y+akwGAmKNHYpjvHI1C6wmbrx0MZee+GecNR6eD0blvp76j59xf3+EZgHOfvFbXOC1s8Imtj18VCBYYe7J6/O9sSfaqPhLihKvq/tTOZdKKXJYpQrHmHrsSa/GD6GU7wT1eFQzU5XxprRbsOoKz60AJ0Wb1DegxPUjbgAVyuz/UOI/ItctLIPdRHt09Mjvag9W5RrwRFP0vdrB8Z2TvH1VswT4BJPvd8PRI3300OXLKJ5fye9f78RabOeZy4Ufs57zrp3qa6VNhpV1nOy0or3iGvaVBMmlshyIizBG6H32cmpMet698zNyO6/d9HsuMf4drBfbmLHzAL55FRL0fvQzBvKfvwjDJYuZ2COslaaYd6LuCdlk20XfCXDyxv0vkvv81Zy/4Ykj16zS9r8tr5bX7O3Jdnwr78e34n6+rNOzXVh/vXc+HtMY+HSRg2MdFupMBq4pc2MXPmrvMfrFe9SM5+kAPuWn8n81g1ct3T9a2Mf/cZBPmzPg8FhZu2I+p9Uulh47wlzbYNRTWePm1OMXMTQxRFTIbXTw8ROOJx3PQUyPPyB8nUo5a+UycsIfLZXDmBIJohpMBg0RS0YCQVqjlpFQmMmOSYo9NtqGh5hdVklWl6eju5c//eJnLF2xmEhHkjtufYMNra3Ms9ZhMunIZt2kkhkJBk34J/HZStje2kmRx85MV5F8j7PagsviJSrkhhmxf630AXPojCRyGrJaI6evO5XasgoSCb9MoTw0Miw9gsQCpX1sVHoFxZJp0qmMXLi8tvVtQroUhqoyxhIhYUVEIqvh2vte5Y+PbmVZRTXFBgc2vQm32UQwEsXltjMUSEhAsLaxije3bpeG5JN9B+gPjRPs7WZ2UQnHNdezprae1fX1RBMpMgJUCWVIpxNE0wnGJpNMjo7gdpp4d+tGZth9MrDB67OxuGU2CxoquOzkpdhzo9g8JsbauxgZChHKmSXgKEJCBJMtlkoxo76Byy+8kKzeyuH+To49fhkPP/AYJrOBBY1zmFNRR01VMUVOMzu6BxiJxqVfYCAeF7EVvPPSTiL+mAz8mJgMMxwMSQnxaDrMoUCI3uAIn7vqAnRlXox6PQO7D5PoCvBqawcb+vs5rqqR8+bM5eGnH+eWW/+MxWBiyD/OoD+Mo8Qt5cBNlWVYM3lyqRwNjSXUlHpleIbRZGb/8LhkFgluVUogzjkY8Qel31Rr7wSJRJqwP0ZoNMzQUBBNLsfG7evpT4RIZjQce/rHGY8fptztZDCRoMbpoWd8AIfVy6wFMzDrjYzoshRZHUQjIQQRpaN3nDuefZdDo+2ENEkWNc2msaqcYCoir2efx0WF14oFK/c9dr/0qfL67Ozfu4kHX3iM8z91Fvvbu+ncdRCK6il1eaRnoPBTE0hlOpojGctK9o3eoJOMvlSxBpPNzdrjj5HgwJqZsxk4/Ja8Ps8//hicZg/XffaLUq530yOPs2HnJr77jV9yeHKI6/5yswQ9rXYjMX+S4bGovOsy7g/SFh9ibmUjoXiK1zdtpAQnWoOLptplbOnbT3FFLfMb59I16Kd/bBy9Lk84Gad7cJL6imJue+5RvOUG7FYH+oiB4bEQQX9Mgh46vU5KJbNJwZYUIRpZtNk8b2x9ndERkTBqpamqkkQmj6fcTT6mp61/kLghSdtQH/VC3rNxK6FYlLrKCl7b8AqhsUn2dLSTjOdpriiXIG7eoiWUiRDMRIiPxsnoM1itGkbTEfRJHWajgdULlvCxU1fLIG8RCLO5exM1JTVs2tZBn3+QO//0IDMWLOa3v7yRiop6FsxqZmdbN1k7xIxpRvJx6S/6mZM/Ti6aIhhL0DrayZy6Kl7ftYW9B/dSZHbT2TvEmqVzicYyuOwuDrTtQe/IYDIapcRyxYK5xEMRastK8MeCbB7uxqMz47SY2NfbRhgRXGRl98gAS0uqWN1QTS4S5ZRla4iEw5LZ2RqcYHVTtbzGhQCzYmELt915H2evPQFXJM/Sumo+uXyhZIQ2W/MEhLw9kWX9/o04zALAgVVN9TisZlKpPLuGhxgIBghMBjCVOkgnMtS7XFKOGw+lEcjRjsP7CESjmCxaFtRUMBaMotFoGfMn2DrYw+bRMcZH/OiNBkln//PmHWT1GZlKLRh7rhILloSfM2bN5JK5C8hKWaaOlbNr2PPi63xu4TIqvS7J5BYkdH2JnsRgGpNBTzqfpb6mmqKiUpbUlDPeN0wkEMHqMrN3Xw/lRTYWL1jK7646n0Z3CS0eH5s6uhgPh3hy5z7JpM7rwSUka+XVNPiKpKTb7jXiMVvQG43yD5Obf/5z9ndupfXwAUKhPAavnkDGK5lwGU2WnzzwB9JjSfYMD7Kho0eO6+YKH8lQWjKvJxJBeZOj2eSUib0Gk54mdymHO7qIJ+KsXLiK3pFJAukUdrudxupGyspqMdr08saF1axjcNhPMBHFq7MTHA9wsH+Y1r42tonrKKGVfa7TZRgfn8Bo1WGw6+gdS1PkK8Lvj0gQTtwkEt8x87zlHBxqZ0llM+UuB3qjhmgmhtNjR5/TUmSxYPXZ5Pgo8toxmUzUl5eQCGRkW6S/qdlJldNKPi2ScPNyfhWesRPpBHm9llKvB5tFhzVhkEzUYrsNg9PESCgkpbn7R4fZPTgkZdhtY2M8v+0Aew/1EUjFCCRTGAN+gpFBspoc5aINVh1JSWn+qD6q//elSB3Vd+LFc2KxVcgK+9/46xytFG8/KR18b0GrmI2LUkAV8VMs9kQyn1h8KAs9pa1KCZnddr2W7/v/HlQgwJcvlbj40XvsBaUUzytlP0ptq/O8D2wUZSipw6PXycRa0Q+nvNgqpVF7rn9ZyvR23/AGzV/ZxlA6y5LnfjklHRyIsfGNu5kx8xQplRKPXw37mcjkKP1SKcc7LCRzeS7qGOFXQ34OfOsqLvzjz+ViSQCpCkCmyHKlPPmUSySgJwAktWRMXUqblXNYyG5Tzrn6eTXLRZQiayus6eTOhSw/saAWD2WRryzwlPeL86n2/FMAB2WBr972P0toVKSc6rargToFVFA8BAuvZ7FvpR8UgLsQ/Cv02VP6Trk2j8h13zPXVx6irwolvYWAjlo2LEph8KkBuA+rBAgjty0YgqrgFvX5UfpSHKMAGdWATSHT8vs33IKnySetQtTHo4y1Qq8/Nbgm/NBKVjfy4ot3c3+1m5uqp0CYi+Jx+T0sPuv+9AXv+7xS4rNq4F/4hxXOTcrvwvvvwLLL/+E1ZRwojLKvzTyFc2eexLYbX2Pzr9bz84kImXiab507R+7r4i190oLr1re6jrSlU6ir8nkO3rFJgpW7fv4i1/94LZGuCZ4vnWIodp58MfeMh/h83sTph6bmgI3xFDP3D7/PJ1M9PtTzsfhd3AQRx6oA+lLqXzA+1f2hlpIr21WY0so5V4N+hV6N/5ua7npVz9VKTecNqHjKTQfwK/OFOFfKMV01OjVPK6U+7s0P3cvO5/52ZNuFMnjxXMBVRtkxNbz6yt387aGbsVe6KDlrHjdduvjI9lKRJB3P7uVTCY2Ua8/42nYikRifmnfs+87blZ3+I9e4zqjHptXgF95kwmdwIspMs/HIcYn+2Hxis/z/j8+dIz/zTFeasd398vqobTxO/ux8eDfiT9KEP/4PfSL64YtLKkjd8JqUgs9sPpYfjwbkNfvxP1wn23bVsWdh1mikFFn0n3isP/9XR9r1k4d2MTo6wWzL3wFHYes2w2x43xhSh90U3qRQvkPFQ5GYF84n6vP779y0+NBAPpEq+MsvXkqVs4TNQ3sxaA3kTGB3mBjuD6KNWnAZzFxx+qkyuevJZ98kn8oyGR3h4ovPApyMRdKkQ2ksWR16rQa9TUdQmyGX0AhnUHRZDRa9AU9xKU6nHYtWz9a+To4pqyWUCOPwGbnrwSeYWV9F6YwW9BYzG3v2Y8zqqHEYSBszWA16dF4DyYyOB37xU2xmPZFklnQsgr8rSjgdlAtG4ctW6nMws7qCOXU1XHD6xZyw/Fhe2vAWo/4wp554Gk1V5dRZXJIOKxh1AkgRbKRkLk1Km5fG/SJF0ZzVYU9muODk00nmMlR7rXzm9JP53Cc/hkl4qxk01Hg8ZLMa6blXLKTJ0Tg7u/ox2s2UeHxU5hwUex2ctGQJGpdBGqILQ/I397RhMWjp7J8gEIpSV1OE0+xiUUsLn77gTFo7ByCdpNriYjwcJzQZJ5fR8cxTb3JoTyfptEjRNKPX6xjwDxNJpxmZ7CcRS2I1Wchm8pKtM9w9SIXZyFBwmMO9I/zl3qeor60lbExyqLeV7vERbv/zozy8az8tC1uw2c1SgilAT2FUn3VZyTmtkt0TSiYZDcXoCQUYHg9hR8u+A23YjC66O14hlArSnwnSm/KjN5vQa7W8tL0NY1Ux5fYKLv3UBSQSCRYtnSlBoXQ6h73Cwph/gsFogtoiH5d++jP4HB5SYylI52QC777AOPuHRzGgZXAyTHN1EeFoinl1JRQVWykusmMwaHCaTRi0minvKnJ0DY5x4VUfk/5RPUMTNBXZGQ5MUOuuxRiNM97Wy8hEQBpVT0QSeOtdYqUrAWuDU0te3GnWuHm3bSuHOobJCI+xpIDrNGR0GvqHJmWCZl54m+k1dE6OyFAawYitaW6kqrKU7vF91BS7pC9VYDSCJqdDkxTnZsq0XmzPKLzJevrYfGgfrUMDRGIR9hxup66qme987qvc9dhzFFeVMnfVWVi1Rv7jnE/jcpu4+LPnEg9FuWDpibTMqScWSrNw1lw8JTbZd+FokvhInJd27OTh9S8SjyelhPuUz1/Ozx/5rZQ2vrprI83l5cSSCUpKHdgMZlwOEzMaSvGY7JgtJja0H8Lp0GPyaPH6zGjSWoxWE5loWgKVAhiQIL8UISNZPNvb9rCzY5eU8BY3+Yjlkuideso8TnR5HVarhd7xCRxWI+NjcSZTcUwmG6UlXjwuK2ccfxwDmRj9fj+kNehjGvRpK7Mba7A6zcwsbpb+mCZthtkL57B75w4ef/UtXntnN6W+MuqrGinxWFnUMoeyChdnXnYqn/7CN3j7wFZe2/o649ERyVxaUb2MVCzDknwp0VCMRC6Oxqjn7CWzOaa8jp6xMQxkaWpppLaxHIvBzK7WVkS+8cjwJJlcmkAsx8zKGYSTSd7YfABdPEtv3zBL585HnzEQjcUZ8QcoN5sYSQfY0zcoWaljoTjjgSgas4Ft7SLBFcmWjsfjvH2oS6aYzyoroX9vK+d+9jQ2vvG2TK19u6udl7d1cFJVE32DY5i1Bpw6E9UuJzq9gQaPlwqvQ3quaXRZqn1uUkI9m8mSDodpqimeuh4jCXRmrWRDJvJpjA4D6/e2kclp5fguchhw24y4PRZ6u4dZOmcGj3ftk9Jck1VLWZGbvC6PwalnbDjMqxOd3LVxK/dt20J/ysq6dS3cs307ncMTdA5OEE6kKNZYWdOwgGQsg63OTDKRxuN0MOKfJJLx80VfjQT0//CtS7nuS59h2cwazj7uOExDo/zikZepaqziqYP7Ka9wiUQH6TWYEu3RG1lVVcPYxIgMPNKYRUhNErvTis0qQLY03/nNtUyMxbnl/ke47dE78E9E2Nm+hchEglQmSzycpMLpomZupQz7eO5QKw2VHlp8bslai8RS8g/wqnIPlx67EFNay8GeftkHgpm5f2AnZV4nFSXV6DU66qqcvLX7HQmEz6mtoycwTHlVOaFsjrKaRRg9JjxWBysXzKHYWoTFpsNq0Ukp9Op5i9nctk+GrhiLLXz64oswWfLc+dvfSkJwKBhnY1evZNpv7etgV383Mzw+RseiuPRGtLo8I7E4+LMMxcIMBALyvA1PhIjpMpgMZvpG/YTiUQ4MjDOZi7O9d4CJYJxoLolBD74iO6U2Gx67nXAkRv/EhPxu1IRTmPRa+QeYuCEk/EQjKSFbz0vmtZCmCy8+AQYL5nAoHOeUGTNY09zIKbNmccacuR/Wny8f1Uf1Py6xcBALSFGFf3yrmSDKIk0AK+IzAmRa+NiLH1rPS789lW/edOwWsUAQi5QH7rzxH5hqSlu/Mf801j/0LPcVOaWUTr39f6UKFzDKolpUZXAqZVdhGwqD+GKdlj/XlzD/itUSrBD/f6ChlO++9qDss0g0w39863PcXebkpTcfYP1P5vLqT+Zx+PBhhm4b5vz2YSnt/VapC5NWw/e//CMiv3udj/d7ZR8r+1bSh5WFk1oepQakCmujb0qqpjCwBCAmtikWiAqbTr0g+1dN+NUeaR8EQinvU4AJNaAmXlOb5atBTHUwyNEWhQpzUQ0WqquQgaIw98T7lEXrBxnkK21Vs9cUBl8ho01pp9JW5XgVfz7ls9OV4gH4PpDyvetVAeCGPvVpPqwS0s9j0w8cabNSaqBc3ZeF/S/Ojeifc37zI4Jd45Qsqv6H4yncrmCSqn0TBQttLBzEYDXw3Zf/IlmwS2wmvl7qJtwf4OK/bJV990SnWwZXKfsVn7t06fFkhv8O4C/t9ksmn9L/DaOCeMP7AMHVS6ZADeW8qQFOcV42/raXSz/zHzSa9My4YBF/rSrias8U214EWyrnUChE6l6eAo5E2b73Nfl35J2lDl76ThMzrlor54J5X1nH3VMkLj5daecRf5SrvvxJHn3+bvkeV6MPwzFL5OvqMAdRCsgsxrgCJotzpmYdi7GjZomqx0vhOFCPaXEe1B6QH2bohpKuK29MqOZydYljETcvxPOKx6AafFODlOrj+Hsq7NQNhMJjFJ58asBNDWAq/1e+U9TnP58R61cD9XVV3LDnOe41m+lb30lsLHzkHOju2EB0OIx5ZSlzL18p53i3Tsudbz3/vvNWfu1/HGm7KMFKfWjZ1Bw1dyCI/dTj5FhQPvOdU6bmoJ89uV8+X25zU7q4Zuo7pNonr5OXXvozDzWUcuPrInQVyTxU6mMHrbQ+tJ3BeeWUfXo5f6r00XD6lIfktY/tlfv5w5vPkjbq3tfO9PgdckjJ6+jcOfK5245rfB/bUtSs9rePHE/h9fnvlHi/ONfKjYKj+Sb+H/Xke/WFv9DSvJa9B57n5j8+gc5qpKTERjqWIZnNs3LxbAaGxhiN+Rkbi5JJpSRQl0wm0Ga1nL5kJq9vOUQ+m5eyVpvbRW94VMqaxJ/5z/z39zn76uv5zuWf4a6nH5Hee2aDkdBkhM+fdjr3vr6eYH+Ub110PL5SL7G0hlwqw6+ffw6b2UBLcR3Vjgo2tG8mr9XTWFnHL352E5+94iLWzJyLo7iYh198TnrxZTNQWmqVqQaXnraWR97dzinL15KIBMlnDWzdv4dwIsTSxhoi41H6AmFm15ZxcGiEXDYvAx3GozFK3Q60uRzReIb60gp8Op30LIyE04TiCeLplLyDIf55rVYpT9seGOb8U07h9RdeI57NMzwa5NiVi9ndf0CCIPmMhhm1zbz7zj5WLWnh3fZWyWoxugxkUymKzQ5y+Sx6dIwn4iwtK5MLp3RKeC+ZGE3E5YKvdzxARi+SHlNYnSbObJ5JOJomnc+Ryk4l1wqmx+ujnTi1XnSmJHpNjkA4zhdOOpOdfX3kU0E2DXeji2nx2k2EI0kWzllAYCLB+Ogw/nxALlxtegMLispk0q8IfOgenGB2QxUpkqTDaXb0D+C0mTjzvE/ywgtPYDJnuOzMCwgng7y8eROj4TD2rAGX0yPR//luDxPWHN1Dg5LNFpWSW40MdRBycMFqzHq0lMTMrFm7kH1726SRfTAWI5bOsMxbgcdlJxJPYjfrKXFbeHT7IeaVllHiMUvfvkgizWg4RDKVYzgVpaW8loYmD31dQcYjw7Q4fQwLI3+TjXzUT3csyBVnnMO+9g7Cg704PQ42D41Iud5be1slMPGtSy9kw/ZWeoYGGM4GmVlcjzGd51DvIDqPlow/Q12Vm/4JPy6tjmAWKosrGR0fJpCKQkoYnGqpstvoiUSFolOCnBoxZqwayYoTTCSxYC61uijzlJKzJJlTP4cHX3mONWuOxRQNsLe1m6wZaiw+fJ4yto3sJpvMEY0kmVfVSNfkILFoSgJuixfNZOfOVumRKPYWyaQkSLq8poktfR049EYaXEV0jE3iT0SZUVEiJZ3RRAav20ZvOEI0EZOBOuKuzMBEEI1Rh12Gx+QlMCSuF61LS3wsKf3PtHkt2XwGj9vCwpI59IQGGQuG0AipY3UN27sPYzBryGTz6I06yuxOTEYHHf19ON0mLll3BgOpMB0dw7g1Vob9HZx5yvHc+sDfaCoqwuctpb+nj4ReQ0N5BbOaW/j0F7/AqReex8kr1jAy1MWhyVFaimZwcOygBGxFEMYlZ53LKxteQ5giJo0QGIuQjaTwFTswW/REQmk8Zjfz6qrZNtxLODKJJq2j2OCkJzhKsbuYhCYiAXThyib+cDpx0SJGYyF6utvpDAQoEv9qfNx03a1cdOX5cj4aHg+geS/MaJ6jmkwqgVlrYjwaoj8WYm5FJSPRAMF0mgVljQT8ERLpLCPJAUwWIxPjEcmoNmZ0aO1gsBkJpRKcWzVLAiptoVHZ5+F4gnxWi93jYHBolGgygc1sJq/Nk9JlyUZy6FJgLrVQlDGyelYDW4cHGBoJyTk6PJ7EXWYkZzCwqq6a1zraJXBT6nVT46pkz4FW6alW63Qylo9idBtottfiz4bo3D+AudRMbDyGzWWWQTJOl55AOM26hmZ2jPUQ9EdpcZdRXtnInsO75TgvL3JK+XE0nMViNlJicmHAQkDnZ3B0QgK74itOBBpddtIJjOci7G9vZ2AgSI3bJV83e+zs7+qRfZW1IP06DWgIJOJoMlpsXjONXo9kWm9s68Vsn7pjl8plSQRT8vuKvE4y9sRdakHj1dm0LGpuomdoCL3WQiqU5BuXX8BPbrtbsosFS/26T5/Mb598C0uxl2jCT7AnJgwNsejN6Mx5KopKGU1OsLphGe8c3EQ0lWZR00y6x4ZwGu0YBIk3naRrfJTZ9U2YLUYGxsc5a90q7nv+WU5YuIr+gSH6EkMY8homJiPyuK750ld46PmnMSciGFxuDrT3SYn+/Loa9HktneMR8kY9+kScpC3DcfV1WHQmukcm6RmYIBiLozPrpI1DIpYirc9NBaOIVFydlowOomMJ6ms8GDDgz8Yp1dvI67Jk0hl5PkSgTiojQEIjWo0Gq0kvg6TEDTMx9/r1GeY7ixhNxQiH4zIYJpvOcuqcmZS53USSSXbu7+eXf7z3w/jz5aP6qP7HJYAStXRRlMIe+mfeaWpPvf+NJ9/S/3yGGx+dSkkUpXhQqZNkxcKuMFRBDRb97LeruaTiRJJv388tNcVUG/Xv214hyFfoIaSUsl1h5l/oyfd2JME99SVH3rs1muCavgm5CFv5xqP/ICcWC9Nv2jw0NtXy2998T76uPF8Iqin9/bW/bueTXaNH9V4r9NVSe1oVHp/SZ0f6oSCQ4mieWdOZ4SsArwKsKW052iK98PfCPlYSTtXpsoXJu8p7p3te3Qax/+nOZ6E0bDofvULfQyUlVS2PPto2Cn0NCxmChSDgdM8V1nRApXjuw/LkE5+/89NL/6E9hfud7hpRriWlj4751GdJ7eqh4WsnoHlP3qeUkmCt9uArvHaPWXUhn//chazPtx85vwfjKb7YM8b1lV7WOCw84Y9wcyTOa1U++f0q6lx9Dn3rKI82TaX5nmeEmZ0TcqyKdn9sxonSk6/+1CnAo+/69Vz+3S9x5RXvB1vVY+Pelefw08FJvv2Ld3gj8Qv52rWLz+DO8TD79j6Py+XguK9eRfdLB+k+/PqRa6A3leaTnaPcWuNj4MtPH5F3q/djezeIadsuvl8+xToTf1eeMhZgWSonfQRFTce0PVoK7nRj/mifKfy8Mp+qz43wR3vh+buO6qn3r9R0/qyF15eY+xTmsdhnf9+UXL9wXlcfg/C6Uzz5pvOI/NrJTUf15FNvV+kfUert77j5DenJV76i/shzDR0GRscmufuuX8p5atOVDVR+bJ6U7Iq65oEdfLxjhJPO/AZ/vu2CKZD4uheYceFivDNLj8xHM7+6jdKz5lKyoIqGW99me0kJL6+/90ibLvaZGXinQ3ryOXRarh2cZEuRledMU6zY2oLrSGz3gvZhKecVj8/NLeHw47t4s7lc/h0q6smzTue3v71TXrPut3/CH352mJtHgzLc44Q7u2X/f+zuzfxgYJJjfnS6/My2/36N8hV1bPjznXJfD3z2O6xoOYl0QxHPaKcYfer6IMmtMg8XnkfFD7GQhf1/jcl34umf4Yprr+K2B56T8ru0NsnA0CQZhw63y8uWjYeJh2F0KEI+nJPhDtl8Gk1SiyGd5/XNh+R2Ei4Nfl2S4eQkduHH47bgcNr41E9uwmDT88hzz+KyebjkmLVo4znMZj3ZeByz0SQXTyXV83E7vKxatpRn1m+QzL0n7nqRX11/K1/94Y958M93yoX5SF83X77yAtxGHa29HRzu3o1Bp5OhFaVum5TsCrbS3FmzWdWygBVzmtCaHby8ZQsJMpx/1pm8duAwB1IRxvMx3tjSKu9WCHCj0uFkXkkZQ0MRxpM50gYDXoPwKTLgNJll8uiBwIhkK5r04LCYMZkMWM0GTlu9ApMhStnsmdSXFnPOmSdT2tCETmeQQMP4QJTVxyxh1dIWMsnwe0yHHPpQlrrSUgKxJJFkmtFYTBqamwwGzDo9VpMRfyRFPJmWfea0WZnlLOHb557MLFcRO/uH2NLRzYb2draN9EoWiABS9VodgdgYAmNKpDKUOpy829GOLpJi2bzlOHNmapxFVDh9rJqzhGQqwTcuWiwlgFd9+jJ8mCGSJ5PPcDg5SVd4AqvXzGDUL9SkWCwG5pUWU+4rZv3zD+Nx6qgvreFX997Lbc8+TWv3sLxIo5k8y49fjdac42BkjK17O+UC/fQTTmBGTYlkHQqwM63LY3ebObGsgYb6EsKTUXb2DhJJiURh4WGnZdP4MKFojB3DvdgtRkKJDFeffTr7YkNEkhkJCDS2tBDMxvHazNRaHBwa6CA4luGsE1dSZjHzame7lEqKjEiX0wY6Le9s3knSH8BU4uPN1h7Wzp1N2+FhYtEstSUeHt/wJtp0CJtJR5OzQgbS2Bsdkvk0r7yBRC4pJYOV5RXMXrhcsqj6hgdwuZycJxJydSINNk/PRARtWoxe4fEI9jKzXDgbi4zSJ02wLyvdLhLpOOUaG4+tf5E7fnorwUOd7Nnfjt3i5LhZS9Gb7GQ8eRkgEU3kMDpMOCuLQMiAEyJnNs+OLa0sXzhPys8j0RQLq5tx+rxsHDwsx5uQCVvNJiqKXfzoqis4ODLCzo4hSgXzSasnnoiQ0qalfHw0HJPhGuLaEimZpqyWaD4tQel0KCPZO4LWk5da/zyxVJaedC/+yCQpwYrNpegLDWO3W6irqJVpq/lEmt7+MTLEZYhCTpPDn4hwaMt+TJoUFkMMh89Od08HNo2NNecsZmQoyAXnX0QKLTPmNdM50c3nr7wMq80AwWGqZ1TjNBlJmCdkmEs2MMW6fOyBJ4lmUtJf7/TiBnLxLBesO5l4JMvkZAyHQceKxWt5Yec2rBk9qXSeUxYfz6XnXcgxKxdisZoIB+IScEsFk1i00DswCsk8feMR2QfBxASpcJiPfepUnHYHxy9eRr2nBLvZJKWQI5FxOWZ8Dgu90SB6u44JYhKorCguoifYx4J5s0jYohR7y3BknVLm+d/f/ALPP/Uaz/78GiqdJcy0FqM3GEibzfSOBqmxeFhWVs0JMxrRGLQsapgjWWwiB2GutwynxozPYaWy0oNT4+XUhTMpslspslk4bVYj5y+bi8Gj48QZzaysriYYjLOyqo6VlbWsLa0iG50kZ9Ny7JIF5O0i5EMEKWjZ1tlK/+Ao9TPqCU/EcFpsxGJJchEN1b5mzGYdG/s7CAXi1NmLZUp7tSPOSXObKGku4Zx5s3BHrFg0WrymCiaSQdJFBnJxLU6nGYvTyDEtVdS4POw73Ep8YpwVlXWctmgGXUE/OTsc7O9DY0SGvghPR7fDTN6UlkmxZqte+qAK31Exdy6bUU1oNEY0POVXZ3cZmdlUSkOFhzkN5ZI9anQbycZhT2sP8VyO4Z4xMpoMf3ntdR684btcdPzJNFWX88uX3iQUTzLSNyKTl0sryrEbDcyYXc9XPvMlDDojDb6ZfPs/f8ZTd4ibH1r2tR9m7YxFDEVHCSQSNNc34XQIoN1Ax2ivvIn0xOsvstxVxIzaCnr9/eiCWUYnw6xraWBVfT0juzaxusjL8cs/xuzGZsptVqwmEYY1yXB4kkV1ThbX2/C6dDJhfMPBLjYebqdjbBSDQ4vLZ8VgERLtFEmPhoxGjFmZWyKtEMw5WDG7lmBIBGXlKTWaGZoMMT4RJyN8Fw2iT7XYTEZpPdBUVkRNiYcZ5SXMrCqh2uukTGeiY3wCk1bLrAof82vKaK7y0T82yd7OXlq7BonnEx/Wny8f1Uf1v6pCFpHCehCLIoU9oUi91IwRU9mH58kn6oiM8Ibfvo/xJRYHhX5h6kWxAM0uLj+B4Jt/5Q8P3IhVq2Eik5WPw1/7+hGA7/bRINcNTspj+0PwpiNMtve14T1wp7/pOEZqlv2DB526n5ZaTcyxGPn+wCSPrD6XoVSGvbEkfxwLcunPl8v3fOObl/PYYy+y9iuP0ZlM8/n/WsEroRi9r0+tGV55tZ0rv/k8Xzm2noQ/xrcrHfKmQJmKhagutX+a0jcKE286xtt0i36l79SeWYWvq6WZynbVAF8h20b5jNKOws+q+0+8T5GOTXds0/W1eluFYJp4fjqgsxBUm06WWnjcisRY3aajgZ7q3xWJpdrvq5CNNJ18TVkAT5ecql5MC4bUh1FClqkGt9Tt/SAAUv0Z0UciJFCkg+rnVv8DwCfql/taWHTmxR8IGgomXyQak3LIkZFx6V9262hQsqTmWaeAzEVWE+loivsnIwykMvxp8Ur87e/vq2Nb5r3v98myKXaSUuHq/6+98wCPo7ra/zvbe5FWvUuWLXfjbkzH9BpaMCUQCCEEAnyBUAIJARICIUAI+RJSKGkQIJhebGxjG+OCLTdZXVbvu9rey+z/OVcZZbxZmRKHfPy5v+fZZ3dHM3On3JnVfec959iwffteDA07sfeEf4YdSqHZdA4pnJFyl2njL+Lhk6/Eb5ecjZeT/9wvmo9CHzN54tIFcMwqxncpEi1nPYQ/PIofPNiKHy84A1955iN23CqrSvFeWmT3hu5YAhcYSDcQoD9y4UH9hx62SP1Imi7llKT3zJyT2dIoZIaVyz/L76f0WcrpR7nvDld+1Weve2LCrZkp8NH1Tm3SbwjdSyShn97lofGUAuGeIy/EN/887jCn9Aft0Ti2H3/BRF+1vPg7fPvoSkSc467N7/z+l2yZX51z7URfffDBJ9n9XtqGzFyzNB85487eM3RQ/95vcWPt2g9x+r23M1HMUlgLXXsU1/+lHlf+aSd+JoTYPbojsfqgHIlXbOk+6L4sarUsxJvW3XTJAnS0dOKBB37DhOF1/jCc+8ad4eWvPD3uMH3p14gNBfHosBfBx+7HWQ/ehRW33oSpm+on7g8qyz/bu3PnAIuq+bsnxK6NnUs0+OMvnmZ/6zvv6okchBG1kh1v6X773DkHh2YXLa7A4JZOrLjlJtzwl3osOf9r7AEXhcDTeZOnEpCO5WS5+KTfI+l3RX4P/CRV0v9jTr5TLz0VylxKzS5AH1NAkxRQVTkD/d4YEBjEVeefj/uf+B10Rj3i4QQ0NKBPJqFSqFjunoAywSoEkiNAUKehgRJvPvcsfvLQj7GrpQ9VjhyWr06rUcFhdyClSMAS16KqNIfdAB7468u4+uRTUFmeg/XrGzDNpsXfGnfDE4nhlb9QBT6yJlNFMD8uWflVqAUlImkRRWVlOPvMo7DzozZs372Luf6ommlQEYOzO4Djjp6OdEKDcNKLUCiGlE6J809Yjr+8vhYz84uxx9mPGn0uWjwu5pTLhZElvTcZ9YhEo4jp1PCHoji6ogThaATX33snbv7GbSi2mdjTCLq3kxPEF4wxcXGXx4cZBeWsOEfDYAfOWToHjV2DGPaGsWLhEXiP8qE5cqATNagsysHzG7ZBo6ZyBQJz6FEsuFGnZbkESR2zavSw6dWIx0REogkMUVJ1vYaJRJ5UFGedsgwulxc7O9tRrcxHq2sQdq0aU2bPRNLpRVtPP9zhMMsNZkxokTIrUZTrQEN3E3N0LCmbhkWL61i46DOr1+GERYuxcfsWHDV/GSIaFTp217MqoVX5uWgf9TMHZ5HdguJcM0LRBPSiwHLwbRzuRGGSHFkCeimPg1nEbJMZKp0eB6IhnD9nFkZdPihUafQO+9AyOgy11oBvXHgG/OFRvP72dgSVaejTSozFw5heUIB5s2di844d8CajCEeTzIFVYimEO+iBOiVAq1Qy54lGqUJlbS0ig4NQQEl1jqEpqEXA2YrQWBgJQwqGhAYxvRIldgdc4Qhy0km829YGh96EI+bMwJ6GZhZK7lJEMS03D75kAmlRiUuPOxWvrnkTM5efiNGOVigjXmiMdlx6ynm4/bEHMRT34+RF8/FRazsrwqKIpllhF7NJC3Vi3I1pt6jg9kQhpgX2JI6qnKYp+T25lEQKbUtDladmA2oxKEKvVGJByTTsGWhljjybXsuqhNocBVALIiwmHdQmNVQhEUKBA03NTVBpRThHojDr1Vh8RB3Wb26AqBaRZ7Ihx6RBkdWCDfvamLuzrCAPPW4Xch1GVBrsyNUa4IoEUDu/Fps27MVoyI+q3Hx0ukehTahRUW1HW9coEyX1eh2SrMCGwEIfqdBCPJBk+0VhoaIGUFBBCasCFkGN8qIjEBxtg60kHxVFBXj1g40QA2B56xL+CJR6DRO5zToNokmRFec4cfHRWLtzE3NmRVNJqPxpFiYZicdRVVAJV9CFYDACc5EWRy2agffX7sPsilkIpEYxp3ou9u9vRZuvhzmjfK4wq6BN/TE5lkAJ5QQUaRsBrU6AVVuAPnc/FErAXpyPwY4h1BTlwZjWYjDkhV5rRVR0Q2spQanFhGQ4jK0dLVDkKqEPCbAIeixZOBdvbN+MmH+8InlBVSUKUyLWNDXDprLi+GVLsWXvBxBieoRFPwrMBiTjQLtnFLXFhegcdaLERALfMI6cOR/B+BgaO3pRZatAVWkB/NEw5k4pQWuvG1OraxHTBtBQvwudXUPwIQGjUYczlpyJy0+ZCoWlEFfffx+G+t2sKAdVrk0EUtAJasRVSaQ0aaiiSojJBHLtZoyFwlDGUrDnGpgLzBWM4tsXfw3PvPMcKs0FyDPrYFSqmOvyjT1NUJiUOL56vBCJPx5hFcDj/hTmFudhXWs7BLKyKdOoqSzH4OAI7DoD0sokjGYtRrwh9o/xfGshSzGwqbkDVx+3BE9u3coKNtlzdVhYPgdN3W1IapPIU+gRDMUwb1ohXtnQiCnlDhwYdGPxjHLYdHqs3tsGISFCoxIQVwpYWlMJUtm3d/bAqFchkRDYPTnHpGdpF1qHnRCFNKbqCtDuHYagVsGoVyNfp4dCq4A9Tw+PN47q/Ap82LEX5Y4SdPT1sarnldW5GHB6obCqkBqN4aozL8Kqravh6vOgylGJuD6EKUUOtLQMwun3oKy0hO2jRVmIY5cWo7cnADVENHa1QjSZMdTnhKPQCNeoF1UlBRgK+JGOh2Ew5OKIuTOxYN58NO7oxVv1LyLgT6GiqArtzS04dmY5NnX34uplC+CNxLCxoxexVAJqtQL5ZjO7Nns9PpZ6ggpx5OUbIUSo0nAaSTHJKsSnBIH9xlHuSTESR1hIsfPCHOkOAyJeyqErIuQLo6Ykl93fqZAWVfsZD8sFE4+pmrNapYLDaoRBRY59ATEFoEoCnd4xhAIiSoqMMKnV7MFLPC7Cptawis/+YAh7+5149tlVh+PfFw7nM0MDvMyQLXmFVRLdKAedxPpvVDJHABHo2Y+dPz7r33bykbtId9f3D3LbHcotIA0Y5fOSkyIb3y+04XSbke3P7p+umKj4ma2apZxfzJqNkXc3HNLJR4RTIn7n8uMDjR5jIy5WRGP5WSfgsn37sOSWcuaYefHIc/F8QREadjVSRhOUa1SInTgNBfPL4G4ZwcCWA4i4QtDEU6jWqnBNngULjf/McSbto1QtM1vV3UznnDTAzlatWD6ffB2HYrLjlM3ZJq0/23qlebK1nzl/prj2SSvafhyHcuhJbVII+2Qh3tkcjIcqIHIopMG73Kma6YI5nE4+qZJ15nGUKjR/XMij9O494ETzczsx79vHQJ9rnFiPdP7l1XXlx0y+TnJRxXyRiWVJ3ENVLl64MB8zrntyYr7h+l6E1rTAJQC50wvx9VNPx58efRpVd44LYPJrlY7dhRd9B92ihzn5qL3T7vkeUtuc6OzsY8Ul+3o/OOhck1BD+77wt1vwnDuAYCqNuQYNLvnxrbj5f34y4bSi6rrODV1o3P/OQdffBU/+GDN+uwWrRBNCniEIJi2WQcDVDgtqaAydEnGpkEK0w8nyoxmWVWH2vkFsLzQzp5T82prsOpO7kTMd11JorFSBN/M4Z/suIZ3vw1ld9/5tL/9Lf2D7IHNeZ7qZ5efjleVfwY19/yp6n2Yx4PcPzmTXCgnMB15v+Jd5So+ZgrJja9l+kRt7KJGE/tYTsx4DuTPuezvfPOgec0YixsZ1DetX4Yz7bgc+cqOhqQ0lgoC7f3kPbrrjp6wytLTcUS0DzMn3VMPIxPpP7hnDzVYd+/0hNgci+FEkCtEThq48B9+Mivj5iBdL7jwZj7zSyOYhJ+vvnH40CeNjvlnTZ8KTG8XzQyF2vLp+ugbfOrcYq6ePp3sZ3NaF4PttrM/qqnORN6uYVRUmJ5/3wmvwtjfEnHzvTi2euM5f3nUDWl/aNeHkS4siZg5ZWDVgijHOn1eKuU0jCInpid+/yZCLe5KLL7NquTSffJ7P3clnyNMywWFx6TQgYkN5WRFcg72IhQ4gronjgT88xZ7iIykwV044HGFP8ykHWlAn4qaVl+LV3zyM1S89hGPnzoaoE4BgF3Z29WDlcUfBL5DIIWJwzI9ihwX7BvtQO6UEf6v/CA/89Q3YrToUl+XBNebE5StPQzgK9PT7YTfbgNF67HvrDQw0voX2ndtg0mlYqJVZr4U2GoV7XyesiRh0KQUi4RQCJELqVKidXoB+5xiGxwYwvaKG5f8Skils2boXpXnl2D3YB5ebEsuDDVoTiRQEpRJqnRq9oy7kWkwoUmogCClWhMDnieDiq65Dfo4B2/t7kBLHB0fRRBL1nlHscg4hT6PGgZF+9PUMQqtMY9XGHdjX0QudkMCOtiGIgoCekSG4PR5s6miBSauBTqGCUq9Erno8h54vFUU0nWRFEmhwSo6oBcctRlCbhKBTsMGdoFdBTaF5CSvaW3tgTVqQV2jA9IoS1JSXQy8mMRwOY+q8mVh8xDzU5hdCp4nAmKZcgXtZp7aqdNBYzXjm1bV4Y+OHKNHogYAbRrUW72zbiF27tqLX68UMRx5MKg3G4kGktQp0x8eLbdDTq7BWhKqoCsvrlqOstgKWgiJMrS1CaYEV3Ykoyz1nTaextbED/U4/3mxsZRV8oVEiHo1hbl0+DDDDFYzDajWwPkahoHqDCe9v3glfFCjLz4MuIeCWld/AgdFBBKNxRJIiS35P/2A6/UGs3rcVSoMSKWUKOq0GSX0EffExHHNkHdp7Xehz+hCJhKA3mOGJBLB25ADF68EdC0ORTkGrVGPRjEoUWqzoHnAxgS4oBvCTPz8Lo1ILX38rBgYGsHWwD+/u24Mfv/QbJA1KlORW4v3GZhYmOaWwCDNmVsJo1MKksUAwqGFX6+AOJCCSqCcIKKRqdQqBheiSOk8CH+W4SHrJ1SawnIcqqOBXaLCgdj7qaitx5XkXImwQUKjXI5RMYCyQwr6+fvhScXT19kJUp+H2x6DP00FQqbGvtROCkcbkSiRTCfj8SfS7wrAXUawnJdMPMjdPKJzAYMDLBvFHzZuKoEvBchMW51hRWWhBod3MwkNdPiqwITAHW1ojMPEoEoox92oylMQVZ53Etptyi2lVKqhtSqQ8KcyorYLH24qzLzgHZrMJY14vzjvhBCxYNBNF5nzoLUakqRiH2YgoSQzpNE468Vis3rEBKXeKiTdzHTWIJGMQkwpcce5F6Av2IaVKMBHe54xg67YW2JRa7Grfh+r8XHQ0NkOcoYIx14KAJ8qOuSlHByEiID/XBI3axMJXT66bjuMq6+AKD2PZouNZFdGYN4gF1fNRMasGXb4RRAMp9A/1IDAUQ8g1ADGixYetjSgy5OHJ67+LGaWlKC6oxP7GfpxQXo2KsnyUzyvHzl078e7+vdBo04iLATR2NKG0qAAD0SGcc9QKREURxXYz29+pNTORTqcwlPCirnAKuga6kPKrWIGDhbOn4sN99Rj29OP1DzcjEovjuXUvwNU1Coe+CLd/8xr88of34IzZJ8CkUuP5tY1obx9FZW4Js66XqAvxlx/8AqpcOh4mTMmrwflHn4AE5TMAhfMLgBa4+OhFGPGG4RJjEMzAW1vXIkSCayoFyrC4rvsAdvb3QWVVw6RXo8fphVopwqDVYa4tDzPz8mA2GFihE6jSTPjpdw2hrLKYVVZXaxRYXliJKZZcWFM6HD23Cnk2PRJaEclUihXaQTLFwr7fb92JodExDA/5MRwJIapM4tVtzbBR6PhIgAlRJFKRZVtIpqG0qKFyaNm11ORxYmTMz0JIKRe0yqKAQa9CKpVCvt0Mg07DHNADET/K86vZ7x1dq3m5Zoz4QkhFBSyZfQTea9gJMUpudcptWcMqwpLTjYSs5GgMDocVT616CRV2O6pLyuDWuthvwYDLg1RciakVxSxtgsvnR8/gHjz12ntYv3sLOkZ64fQFkUh6oNEqYbKYcP7pp2HeEUtQm1eBYV8Ag+4epEMJfP+n96E414+Xn3kXy+fMxoLaKVg4uwx7ewZQkmvDxrYDWNvfhUQ6AaVAobBptm5fMDLuDk+kcVzNFCwpKGeFpCivKj3EsBg0CIfjEKlIik4FUZFm1aIpTQLl0JuXW8TSTiiENMwWPSsAQg5wjU6AXtCgtigX00vyUWa1oyTHxop2kOrHCu4ogFQ8gaICC8uVqtGn//FgI82Or0JBqSTScPm8rKK9w/zpB2oczuFmspxMUoVVSrwvRxL4iPuW/XNA8+8g5RuTBqtysUhCXrU00wFGgzUasGyuK2EDeHrRZ3pJAywadNxVbGeiAw1CPk6IuXl/w0QoHXHf7reZwJfpdrrn4nl4bO+7eNmuRVfvB1g1pRC/fPyH+Pkl8yecFEtMOrzyym/Q0bMJq6cWY03belSc+wb7G4V3vWs2YfFtJ6GtZxMs31uBF64cdwFK0HkggU86J/LpE8dH5vKRCkzQK5vAl1lpNlNYk/KWSQ4NeUGATOTLUntyZ0s2wS5zoC0vxCBHqsYqz4uXbb5s2yTPwyevwjxZ3kKCtltyoBCZ/T4zb6Hk8JO2Ty7MZLumJrvOqI8wIThDDKHv5N463EjVdTOPI4lc8gIh8u2RwsLlQp+tJo9dXyTwyZeTjsfv9q+eEPgIuaNHmr+jYQ27bqVrd/r3T4GnfZQJfPK+8+dOL+o7N6DnwAZMOWcOPtD2Y0fnhon9oGv1+Z/NZuedXGHCSeOhulI779z7MNasfhYd7etYO3Ixh7aXrivatq/mmLCncyPWTSuG8rsn4AX3LnYvIYGP2vljmxu/eeT+g7aNPp9ovgdFt67GjBvmYdEPTkNn01ok/ud4JvAR9188j4l5700txhu1RSg/firuLs5B3VcXTDj35KI8IfVbabq8P1K/mHD2ycQ/abtoHVIfylZgR3LayUOo5VWX/12kYj8TIqTs3kT3k8xiQfJ8efT6yoevsOMu9Q3pRfdvybFLIbD9v17EptM7nVf6TAKfdN5p/l9V5B3UN6XjK81DQjGJfNIDH+ne9JZai+krx8Pa3/rhQzCeU4Xezo0ou+NkzHr8t1hXlIPbfjT1n/v8+y4m8EnnjF5zbz0e71+zjP2dvlP4+dp8O9ZPK8Hbej18KRH5KiUbA0vn+emvLcRj5Q6sLsvBpppC3P6dr2PLH5+aOE8Uon71o+P5NInipVWYeucpmH/3qZhxyXgVYDoeFKrL8pDajEzgk1zrdJ2vfeTxCYGPIC3j61u2sN+gxd87CZUnTWf9Uy7wyd16me/SOZHeMwU+6W//VSffE7+5G2++txVGix5LZ87Gpu07UV5Ri/+55CuoXXASTl15KvtHPuaOwWDUQyemWVivXxGH1qLB3WdcgiVfWcl0x5XfPhdWytvU5sJ93z4Pq97bgcFQANCIGBgMQ2lJIZYQAR0JGgIWTJ2JzvY+XHfe6ehoiGHRsmL87vW/o6GnG2uefmy8ZjfZB4w6XPc/d6KyqhLNnV0QAymkwgI0Di3qahZj07Y1TCgioQEKFZ753xdw4VVnQa/X4pi6uVjdXA+vO8rEA1JrbVodQrEEYvEUcs06+GNxOIwGiBRyGKcUTSJiSXIokvingkmjx2jMhwKlkVUw1CrULGTJpNAioUij3G7G6r4+nFZZhQ29HchTGdEf9CMcizNxhfKmsSqSKZFVPRWVIhRQIJUUcfIxx6F+xzaW8+qoikookinm2ArEEljb04Vqi425Mzr9HoTDSaiTAowaNUWZIhpLwWEyjOf/SoahVirGq/km4mzAZxBUOKGyGquaGvH1RYsw4PHDrNOhPxhAMpxAQ/8wLBRCaLPDoBWZSFbfMcDydFlNBixmLsY4Nvb1QFQBpWo9RuMRlOfn49x5c/DG3noU5ZajoeUARCUJeGpY01pY1BokYiQTpKAQFBiIhVio55z8QuwaHYBZpcS8oinMycWKDShVLM9ha8iJaoMRjUOjqLTbIcaB8mIrXmtuQb7JzHJtGbQmOLQ2OKx6lDgceL+5HrlmE9IRFeKRILp9AZxRVwlvIIqE1oaSChXeeWM3EpoUBK0aSkEJh9EIaFLoHvOzUO0cqxEagxrDA15oTCp84/SL0LJvJ8tJ+FZDC46eMxUfNFOBEQuSugQEfwKLq0rRP+JHQpWGSwyjTF8Ap9eJucWF2NjRhRTJ8LE0FFoVBLpmDCqIkSQUVOQlmca0qZVobenCFWdfgL0te+H1jSEQiSPPZsLMyil4v2EPnnnkCTxw70/gjgVhMhrx0M+fxOXXno9cpQVtoSEk46nxxLxREYJaiXxrEYREBEN+LwRyNWq1qLTaWfXoGUUFWLToeGze/A76IxEsrJkBi8GIPucwmjxdrDrstMJK7DrQCiRYJ4VGQfU7UjAYNbjgyFPxxuY1rKiJYFexghpRZxwGk5L1S3IKLl04G43NzbALBUiJCeQVGBFKpBBMRpgLDzE9co1aeBNeWI0WjEWCEGMpxKhAhCeF05YdjX2uRpSVFuGjHa1QqAWoFGDbGU+kmNNVpUmjz+lFja0Yre29UJqUKC4swZnHHA2fxoPn//YeVOkUkioFc1dqrWro1EqStqBMawFVHLkFDgz0DyMuiDCpNXAIOkyfX4WdH/ZgIOJCdCwMY4ER0At499n38JWvnYZiYxly8izYurcepy6dh617mxDRpBFTJjHNOgWKhIDcnBwE/QFQkWtPeAT6pJlKG8GfcKG2vBgDQ37MnzoTUUEBvy8Av3cM6VQUJqseddUzsXHHVgTDYRyz9EQM9nXA5R6FJx5BQkjijAUnIaVOY/7MechPhdAfB9Z+sBHFxcXwOv0QhQgCYXLsJVkILLt1JpQQFTEIhgIool5YTFaEI0FEkhaU2jQIhcNQqenhTQhGvRUGjYCBESd0GgWMBh1CcaoUroVCbYCQ1LDKy/6IFzqVETExzO410WQKrQcGkWNTI5qMwKg3Q6fUMFuXy+9FubUSjYMtSMYSKLToYTbkoTXQi6X2Uqzu7IDoTbKq7SqtCqfNORpvN3yAQvKDqwX0h8JIx9Os+nsoGkU6lsaMqqloGjyAqrIcUGrU4aExJkBPzXOgbcyDaQX5SKTiKM+zYdgZRJtrFClVGka1GqWmQowl3QhFUyiy6jHmi0KZVsGqo7x8afREAhD9KeZsJGG4f9QLrUqJY5YuRFN/KzSgJ4xJ1JgrsGeoFTaVA/mVOricASTCcYz5A1Bq0yjKKYFKCQyHxqCJiezaHQkGkIiLmFUyDSHRh+rSYnQd6IJSZcD8unK8/NFWJCIJJGIiplXlYeU5l+OEk08HoMdZK89CVaEJ8/MK8Ofde9lvgNWkZ3kZyWFH+THp3WLQMVf9lDwH7EYD1jS2MKcsMeQPMcedqEyzqrs9g26YjDoolQJyzXrE0xjP2acQYNcaQIckzfppjFVpriqxsgcUdMvRqRRo93mQr9EhHBdRmUfXchRtw6PQUEgvBOh05CI2IaUQEYsl4fKEUGAys9/NDqcbv/v9P594czj/DSiMR+6ukj5LTiZp8EE5lMj1Jw2SaKD2w0QPTnuw6bA4+cidJA1Ys7lZpEG5JOBIooR8myUynW3yvG4SmY6XbLnQJCTH1mQuMinHlVw8+LjQR3meJbmLSp5bLtOxJ213NtdPNmFUSnguT1Qv39ZMR6R8v+XbIu8fkx2HQ+Xgk6/zUA5N+bqzHYdP4kKk9Wfmf8qWG0/ulpMKTsj7lHxZuRiSeQ7k2yCf9+OgNqVzntlWtv063Dn5mPDzj+tN6hNSrr3JHF+Z15Hc2SfNQ/sg3SOkviXvu5JYLZHprMp2/cjFRWkZeY63zNxrmWTmTczmXJYvS9svX282p12mazWTydy2h3KiZss5l63PZ8sx+u8i9Y9/18kn75/y/Zbn3pvsHvlJc1Zmy6832TnJ5i6WIz/e8ntCZj7BzAcqk+WrJTJ/Z6T+N7yzB99vcsKiVKAhEscvRrw4z27CN/PGi8bIf5Pk5/sHsvv0ZMdH3mfk9215v53sOGfeDye7P2euP/P9UPd2+XLE5+7k27q5AVqLGsFIFO/v3YWUTsDgUBf++tcXcfE3z4bFamBVKKkKi4bC3RQCSssL8fxD9yMWTOEnrz/PBrIP3HYNFuWWYmzIA22uBo++ugZN3lG4KSwsrYDOIoyHXsbSePs3b+OnZ6zECYuPgTPmwdJ5JZgzX4cOdye6x5zQUh5F7VzAOBcwzwMUdSjMKcUHm3cjOBiCGBfgyDEjkIhCa4xi9vQ6LC6fi7goorrQjmtvWomKgnzMKqpEIh5A1BMDPVcoybEiV2dgIU46HQllAtI6M3L0hvGwWargy3wNIqx6LROtaBCkMKpRqLYiZkizaqLhWBIFBgOqimwoz7HCqNGiPKeIJcBXiErmgksmEtBrNEyciINcahqWpJwGY1R4hJwsVpMOYy0tCMYjrPAHDYBCYhK+WAzOYAgraqqZGOkLxRDyRKAz6KFRCCzEkLKN2cxaJBUpqAUV4ukkwmICoXiS/d2q1rJwYAqTvmIBhQLGMOLxIZlOjOdGcrtw5LwZsNsKoUonMOQPYtjng1GnQa5Fz8L6aEBLhQAUCRHTTLmYWVOIfL0Rs2w52FLfwgbRLmcICqMWY5E4E+G64254wjFEFUlEUwmkKW+hSYVEjJLRidAkFFCKary5cy+cAXLteLD2QBM2drajs38Ua5u6MeYNw2E0M5XdORaCXadjlVypOqwOCbj8w+h1DWBj026UCUb4AgGcdPIpLHz8vNlToFORW0mJ+x78Ca697udIFgh4+O4f4s0X3kM0GUWn2wlfJA6HXgeVgWLNBcRjKeSUWBEPivjDqpewqa0Dmxo7sLyqEi19fYBaCeoSiWAMKUUaDb0jSObosOCII1hhjVgiBYcjBxs7e5CmWO5UGvlFdtQVlTE3UIWlEAqlguVcMGkE5Oflw2Q3ssIj7mgY0BuhoNyDaaDRMwavy4sbbrsZ05fXIJAMos0zjJtuuQaKVAL9/gCrSkoVoW1GLY5ddASSsRQGvX1YOHs6cq3jDidLLRXB8cJstMCZjOLVdavgEmKIpuLo8/WhraMfjW3dEJJA0B9Bz2APluTlswq5Gr0SdRUl0KbULNH+q9tX46c3fA0Vs8qQTqSgJCEQYFWGBWUaOqsS+5ubWQGDoxZOwYzZpegY6oPZqIDH42LCZiTux4BrhInpwyMuVDlKkCCBL5FGTV0etvTVY6ptOvZ81IZja6tg0Kgxr2wKZtRUQgs1rr/sWpx2zFksN+hgcgyaPDXOP/cofPX0k/GbV/+GNWu2Q6NTorDSwVxYVRWVCPkTiLhSUFJUtDoGjzuE5sZuVq1ar85FMiGidcCJcmsNDA4tCqxmqE06WG0mLKuZgRVnngCNWYNQehSNPS0QE2m89dFeCJQXjyqJJoCWwXZ0hbtQ31iPr11/Blp7WzEw5kanqwf9sWHUlUzFR43dGPS7sWFnPdbt3ICu/kZMK65BUVE1jp9/LDpGhlBVUY1rL74Kr2x4A9XFs2FU2DGntAylhnzsaW1GJBTGCy+9hJKjzsaSOTacffJJWDJ/ATpGu7BwwXKExDg+6mtESBHH9rZmQOlHqb0CW7ash85sxLv1m7BpWz2GB3bjWzfehlvu+BFuuuUe7G5sxMZ9H6HdHYBSjOKdlj1oaB3GW9vr8d7eeuxs3oX+A/XY1rAFrQdasbn+A2zaWY/5NZW4+5Z7MegZwt72A5hjy8V0ixaKaBARd5AJlHf/6CGW/iCqTWJmQTHq8sywi0b0OF2o1tgBNTn+VEjHRWwZ2Ik8sw3k2yuwGlFozYfSqEQwGoUYFmEoNKCmUIMShwHGhBqV5eWsumyJ3YbRYBhWi5blWKRCNM2jI8zNalBrmHAXGIuhRG+DQ52DRUUF8ASi8HpCoISJfV4/XIEYcm1GljNyem0pgikBarMWgk6LNR9sw+zpC9HZ44ZzKIQVS6ahsqAUJcU5GHMGEQhG4LBZUT21FO+8uAE1uSUwqEzwj/rZtd8z4oIOatx0+YVocrXA43ejta0XHaMj6HD248BICBccdwrOOfJYrFi6EGUFVWhtbcXa1/6OV//+Rxw1oxZ2hRqDHi9KzRYsqZ0Ng1rNwvlzzEacM3cWjplWA41GzR70rG5qw5oD7QglYhjw+THoDcAfjMA54IdVlQfXUBQ5DiMSBWnmoHbk6KGgZ28qNfst8caiGAiG0O/zIxik4k/jRXu6/D4m7NLDiEAwjj2Dw2gbc+LN/W3Y0NAJk1qPIr0FdQWFaOodgVVrgFVhhENrRjChYGkNXKEQnIGDKwByOP8N5AnbpTx89Jmqb0rf6SUX+GjAQf/M3+ayse8RV5AJdp/2RctlDlxJ8MrmepIGViSMyCveEnKninwQKU2TBi9yl5kETcs2MDlUKGe2gYu8/cmEBonMxP9SZeDM4hHyNjOFl8kGVDSfVL2Q1i/lM8ych44zncdsgy15Xin5tkjvkiND7pCbLAdf5r5nG3RK7hep8iW9suXYkx8DeQ4veZvy3HaS+1Nyxcnblp8DEp3oRQKUfBsmE/ikdUiCczZhQFp3tlxpBPVhaVsz80JmOk1p/yiXHtunWJIJMp/2RcsR0nrY8Xvk56xtSdiThL7MbZdciyT8S8co2zmWjpOUbzHbdSD1dXnOTXkb0vUjr7xK0+ghA7Wf6QiT/i4/H9K5krZfElrk11I2N6nkPqP10n7KHyDIXXXSu3SsJNdr5t+l6XKXmJSz8iDR6B/9lOajfpqZRzKbMCjlL51Y9pZbD3JbTYiDt9x6kBN3MpFI6hcdHT1MsPu0L1ruUEhuUIls9wn5NDoX8mrP0jqkd/lxkc6P3EkqX1fm+Zb/Lkj9Vt4HMq9jyeErX0+mwEfrkRyM0rZJ80rvi7b14Ntjflzc48SzLj/sR09B27eOnNgmqe2Je+0t4+eWriXpvMrz3GXmvJOghzpy57NcvKaXdL/JFkotX0ZyQhPUPq1T7sajdmge6V16MCRdC5M5/j7JQ5DD7uS744e3oL5tL9IpAVMcdii0ahw9czbe3bMD9119HZr6+nGgYT9MJive2LQNaarUGo7BWK5loYbLqsqZONU94IXNpEP17Cp8tKcBgUgKWoMag4EApubm4vEf3o4zvnsb4u4Efv/Qw/j292+DMaWA0mHCLWcei0Vnr8SNV34bDb1DKKy0QAMVisrsWFBXhRff3wa3N8ycfaqkEnfdfDNiY6PQanUIxJPYtGUHrr/iDCZ67Njbgj+uW8ccW1QIoKSwCEO9w9AbVIjGU2ywQv6xJChMl6p+luHGr56O37/0CtqHx6BRquENBmEzm5Bv1aNvLAxBTEGjVsOqVrFQUSr0saCqhBVToPAju1nPEpTTeinXVUyRZjml7EY96vsHmHtQrVDAYdIzgZAch1QIQCGoATGJCpsdrlAQU3OpwqkG8XgSWq0K63vaYVXoxh2KFKmWSiIYTsJm0CCSEKFWUm4xPawqNRpDLiZUkvVJjKcpQxbsaQ0MVj2mOxzM4WHR67G5pwv9Qz6cevR0fLi/A/mFxQgMjMGkUWLQH2DroLAtq04LjVbFlmtz0o+OgBKdGQtmlkEdERATk1jX3QUNCbgaFYq0JhYex0RCgxk9Hi+OWlSH13fshT/og9KgxXxzETpDPszLcUBUqti+UhhZw9Ag+ofdGA6HcGxNDRoGBzGjIg99I36WHL7IbobHE4NfGYQmrGaOJhJIrSo9y/Ny1sWX4rd/ehK5Wg2m5+XD64/AqFPgG9//PqAoxUt/fhAXXn4H6++nnn4MUgYlTCYNEwP9qST0aS1zE5LoOxLyY769hImoJN6mBYEVNInFUjBpNCxPI51/rUaPomoHltQuwPNvvsrC9mxWI6soSSN7qkBLCe0tDgMC3jAWTp2O1v1t0FcY4BoMYNYRc9A52IEphjzs7e1BWWkxnE4XGyAH40GW4L+1cwRabRo+UQlDUoG24UEmhsybXYwDrhBytHb0DvSyRKgUHh2PxlFabkMykUZxUQn6Pf0Y6wvAXmyBQkwhHhFZBeIqix1JKFGYMwOd/p2suIrbH0GB1sAESncywoS+42dMYyJgRK1gYhwVIKWw/VgghqQ2jWQ0xfILqsxK5NutCAXCLL+gPa5DZUEl4rYU9vd0QBMX2HGm5fOtJowO+hEhZTEtQp+jxekLluG9rTsQTMSgJ0FtJIo5s6rgsFuwZVsj5s+bhft+9Ch2f7gO/UEP/vfZJ1Fjq4DTO4xgMApRJeD4BYsBoxlVZTYkUyE8/bd3WJEQymGYCtPepKG2qZB2p2DLMaGsvAqNrfuQo8vDytOW4pG/voqashLEohH0jbpRUVUCVVSFofgoxFAKSjHNtpnCI5EQccL8hdjY3QQxEcN3V16B5996GRbBjrlLa/HKO5uYGEJhjV1Do9DQ+TFpsLhiFsryHfCmAugZPIAnfvYkTr32IiS8dBxFXLriNLzy5lrEckQ8c99PcOOPfoAfXPV13PHwH1CSX4KByBCuPfMiqNXAmG8Au9rasL+lH7PKp+PUE5dj1bo1GIg5oRGVLDco5cwrNFugtxmQEGMYC4eY2EpOTUeuAWlRQI7dAjFthkahhkITRyIaQb6+kBVC8afd8Pi9cLqjUIkqKBQJVBTXoKOtFb54jFLhoqjYjKERLwujvXjRHIx6fVjf2oPlM8vxYWcP6qrLMegZgzqcZmKU0qBAZ98Y9vT2Y2qhHR8eGByvwBpJQlAp2Dmj1AlHFDuwt3eUhYIuWzQPIX8Q+9u6oE6rccM5l+HXb/yFFXAQUkBNcQkODA5Cr9awPkQPoljlakEJS44Os2unYW9HK+ro9y0NOEwmvN/fCztyIBgTiPqS0IhqfO+K4/E/v3we3zrnWPz2jc3INemRTKqxbNYUrG/cgxwtFbowIC6GsfL0i7B9+xasb2hAXVkVvDEvjqxbjO3Ne/Hcsy/htef/iNXvvYIktFhCTsB9+1h19sVLl2J4YBB3/fhn+O2vHoNSTGJG7Qy4vJ1wR1LYunUTWoeHcdyxixDqIwGyF4vKCpEg115aiXYfJVMWkEym2G8C7euZs2ajY9iJXq8HOo0STQMkpIM97KFwXZoWiY27/hLKFBRxBawaC8L6ANRJqhZtYG47yo2ZFKmCborNS7+RhrgK1SW5MBpU0AgqUCA3Nby9tReCigrZpyGmwB5wqbVKnD17BtvWbf0HcFT5FFYEKJVKo9vrw5kLp+G5NbtZEZgHH37mcPz7wuH8206+bMJWZl4y6R9+ystHlRHP+fkPsP9XGxGnSJPPiFanxc9+dDsWPPvURBvS4F2+LZmOn0w3izQgommZLi1JWMj2PZuTKpsDQsqHd6h8RNJnOdkcSZlM5hTM5uzJto3S9EwhMTPhubRtkjOE1k8ip7Rfme6OzH3I5q7MbEuOVCX5UNVxM4+VfN8yq/keygmV+bfJqidnDjDlLrHJcjRONiiV+sQncW1KzjOqJix3tEltZnP2yfeNig58tcfJIp8+K3oaG1x7JH65pv2gdWdzNBGZLlJpvkPtZzYnVeZ8pWVHsYcG0ne5MJ7pPJW7mDKdvpP1V3m78mtOvm65e3YyV2y2/Ijy9uTXZ2Zuysy2D5WHUi4cye9/tB4S/ShUV/6dLS/Lz5fpyiQyKxvLxahs52k4kcRl3U5EU5+9f+mUCmy8dxZujpV8rPtVEnKllAbZjm/mfUdyiWYKyIdyAE7mQKbvFNotXY/y9RzK6SZtS7a+KO8Hn8ZtmTlvpktQ+Ic4KlWtzdaP5Pe7TyKikWh+14Nb/+UayEQ63pmhtpOdN0mclz8wkLZdzid18h02ke/+H96CZk8n8kU9dGYrZlLVR50B2zq78LcnHsGNd9yNIuhw58O/w/nnn4EIEiyEr6DEil/fdQ/Ou/4WNkg7c9YsuL1edCYCEJMiVGmBCV86ixaPfvN6JCNRfP+lpxBLpaFPCFDGlbDYNBgLR3H/yguxv7sDz7y5DQprGmm/iLefehCJaIyJY088twZvbdqEFVNrsHvYDbVBxMrjT8YpM5fhkRf+xJKpQ5XATHsJ5sydgV/9/U3mpEooRBTY7Bh2eVhOJ6tRg2h0PN+URqWELxLF1049Ces31CNpjiEkphALJTHdkgtXmHK2pTGaiMGkVENt0cCWUiEcT8AnxnBsRQVMWhW6xwKYkpeLUCLBQhZ7xzwYHPGgMNfKXHkkkIXjMRgNGhRZTBgJRJggRK6LfJMBncNuqJQKFDlsiAUTyDMYmMMsnAasWhV29vezQZJCTebNNHNsqdVqpFJJCEoFtGkFwkjBGwlDY9XAAjXL0zUWDEPQqTDHlI/yAhvGAkHY9Ho0Dzth1+qxPziCfJgRpSSIWgXiQgJVDgeae0ZYCKpaoUJdgR0eXwzeeBQJEjkU5AJL4it107F3YBSjyjAWFMzE+807UGq0otxqQ5vTieNra7G/bxBJFTDgo6IbKiSDCdQV5LHwO0eOAUatgQmCCqUS7UND6BvzorowD+FgHO50hAlCwy4fLBY1fO4ELHYtjVjZeSm02KAU0oglU5hWnY+eXh9i8SQL8cvXGjGt3IJ97X48/vt70NXYgnuf+DUuuPxKPP7oE8jPM6HMZMfOvj7oFQpWnTIRUbJQupQxjSuPOwtvb1oHlyIGi1GPcDSBaCjKBsuU5+30JQuxo7kT04rLsHH3LqRVlIxeCTFKOfbGC9BQDkraLypqQuGkijhgzzNizB1Emvp/Uo2kSYQ6pUZJNRVg6EfKncQR06Yjmg5iVm0NnGNe9A2N4RsXn4IXXn4LcVELm04LT8QDpycEg84Kb8gNncaM4dER5NmNGA2HoCARJ6mAXi0gLzcPsZQCOYY0+kIesBjCOIUQ01sSioACyxZNwfo1TZhSm0Olc+FwWNDYM4pwMg6jWY18tQWqpICURsRgKIgIJWWlKr6iyPabCitYNBqMOoPINVK4oIhIXI+qIgo5j8PvirBk/2mDAGVUxLnHzscLG3ewfiAkReTV2BCPJBENiVgyazp2tDRhan4Rdrd3I6/Ihq+cdiZeeWUVfv3I01jz8ut44YO/wz8Ugt6kg9KshNKkxpyCWlBs8cCAE91Dg5gxcz4aG+qhNCpg+EdVYKqAS7k5Y+korIKBiZhplRKhcBA6qxlD3cOYOqOUhdHS+SsvqGIPL2697Hycc/udqCuuQc9gL4K+OBMy9RYBtWWVWHHkLGzc0wSVGyiZNxtDO3diUEihb2QIc6qnIhFKI5GMQGvVw+Ucw3ELFmFXUzOOXX4EekY82LVnB2ryyjHqC2DFCcthsRjxp9dfwPknnIs33tqA71y6AjuaBtDrG8KAawiesTBMKj2qy8tRVV6FUMyLSDiEwdFhqFRqeIbiUJQp0N3Yh9wcM74yZyZG08BI/wicoSC8sRBKbBaEUwmokiqUFNox4vQyYSi/xMLyk1LOz1Akwe4LBhVwZOUUljWhYWAIw7EQou4oq4hNOQ4Jut9T8SB6IEDCU5psYaISBY5cjI66MGNKAfY3DeKyY+ezkNG/bt3FBDjBrGAiXZnNgp5BD1IpqoUsoLzECr9PhD8ZhMVkQIXOjrDKhLB7FGP+IKKxOCorpsAZ7kGhOQdupxtu6pekCAoiTlu8GBvaG1h/SykEREJxCHoB584/GaPeFvZgpNntQyAVQsAXhD6hQTBKIiNVlgDM+QakEyL8rjDUooCiogL0+0dh0OjgHwvj7BUnYvX777N7odaohh4qXHLGpXj/w3fhKLQiFdUhpfBjxBnA4roZ2NffAt1YGOlCA1YsOgc7d21F01A75s2sxfb6ZqxYtARGkwVldgf0uVo4corx9pb12NWyH54hD46aVgObgUJrgenLT8EDTz2Bcp2VhTCrlWr2OxZjTmlhvCAUlUGh4hpIs4I8nmCMiZvkjKbUDzU5Oezh1Fg4yIoRLaupQCiRxFggBH8oxh6gBCIRdk+lAjvKuALTy3LhDkdZDhW/LwS13oxhrxORZJI9AKDfTUp1sLy0EiazBm09Lkwrc6Agx8iqae/zCtCHfVAbyCsv4vs/Hhc2OJz/FiSiZAuTlEQ+EmnkCdOlfEokSsx0bMcjDa+xMP2b17ZPOEL+/o4SF5yWwu2vPM1yPUmVGyW3CEHT6HtOjg0H9vdNuIpo0EUiAG1XZrJ5+cBHLkDKRQlahgbFctEk26A7U1TJDMeSyBy8SfPSACabiJSJvO1Ml1/mQPZQ4bOTkbl/0vbLhQrpvBKZIbDZipjI1y2fnikMZIapyo+XxKcJAzuUy/RQItzHId/OzPMwmRAzmbA1mRDwccjbkcJBCUnsyyYWEfJrgIQYyuNFlXbpeqN3ur7oOssGzfPhmT/D8jdvY9faW5tycMf14znKqP9Kglc2MfVQeRWzhSZmTssUsDJDZrMtnxmuO1m4rDycNnMb5X1GEh0kwStb/5ULX/JQYvm1Mdn5nkyQle+PnMkE5GziudT+N/DqQfe5T3ItSQJmtvmy3c+k6Y+dfjXcbu9Ef5Ly9GXevyfrb2qDhv2PL5F5zjPFJPm1ndl/JCFY6gPycyFPGTHZeckmzmYLgyYy58vs05nb+Un7wqHI9rBGutal9wqZsCi/f2c7d5MhtSG/52R7aJTtu/y3KdtDk2ztZgsbzsbnHq7r97lQ7ShCbzyApTOmYnXPIDa0NyMWj2LHpt3oCXlw3gWnYm/DG7jysgvhMNjY0/tgKoavfPdWMnMw14oiHUeBzYy6Ugfseh08yShUNg2QAG749eO48Xe/gW8ojPPnLsdXZ9XCI0bQ7fHAoNDi8TffhUqwQeNQIh1QwGTT4saf/QrPbt6K2574HVbv/5CJJ2PhCOaVFUKvMuDd3fvwizdfh8pkhTsQgNMVwsaONjz6h5cBchcJChjTGghpFZRUUZPKGqRVLGSShJnLzjiZDXrqB3owlPTBHUxAiIO5mXoop5kCiIgi8qx6aM1qVv0zmkiw3HD5WhOaR13YN+Rijrz32w5gd98A9vQPwGE0oa68CCadFn5/HDqFGqVmM6ZZc5AKp7GiohpzTXk4trQKNY4yNiCjfRtyehGKReFMxOAMx5lTwx2OIUbJzZkzBdArxh2AaaWISCzBnBbuRAKqHC10Cg2mF5VjVm4+FEkVS5weDwPDER/2tHahd2AU63s6kIyFWD67OqMDJTkW/OEvqxBGHL5IAo39IwilE6g15cCq0qIsxwy/GMPps6fBYdNihikfJr0OrzU0Q5kQUJyyYedAA44vq0KxxsQqD88tLsGmri5W/MMdCEMHDXM/FhaY0RJwYo9rEOvbD6DbPYZVTXvwXmMjE+4MVB1ZqUQykYQQSmN+SQVgUSKSVCMsxJnTdFpBKabkFMGhNUGVVjMHXkeHG0qNmg1aU7EEvJEABoejaB3uxwtPPocPN3yEGy84B+JYEkVlhfjrk28jNBCCSUECQxrfOu0yXHbGObj5vMugUgnYUL/hHxWPqZpkGja7FmJMZOconRTx1rYdSJgBS14FcxzRKxWlisiUyXA8RR7lISS9g4kgaRFJlQDXSJA5XgSVgLA6gVgwiUg6hoH+QYjBJPQOJXZ3tECps8AfSWG4dxDeMS+6mgZgSWkw1N2Nzfua4VGImFo9FTm5ZlQ6chD1B3DUEVXwaxLIFbX47neugr2CcmEJCNoSiEa86Pf6YddaUF6Qh0g4iiW10zHdNo/lU3OYS6GrUWPME4PNYkA/bWc0xV7RtIgjj6xB+5gLB/xuBCMx6JMaVFUWMkGF8nuFRuMYHPCzggWCWoDOrEHQN4b9HcMYGhyDJxVGcXEu5syohFangVVrYzn+vnHFNVBZNXD1B8gciJx8C9paO5BndqBpoI85unweP1a98QorXnLdTdfgD+8+x0SfvPJ85OXk4ZyTjsTR849G61APPtq9F0PMNStCkfAxYYFyuAWGwzBNd7ATU1dVAp8rgqraapTlmSEG4piVNwWBMTeKC6wotJcjz1zAzl2PqxMf7N2Nb97zCyydtRDd/QMwC0YcO6+SOQJjsTTGvB6YNWoWDmpxKLHm/XehcZhYsZjyHAu6B/vQMniAVRhVigooFUn0D7dAqUljX2ML+vo74AlFsb2/DaUFhXj9vfVYv24HhtsDeGfd2/DHXHjsldewuXUrgq4wZlXXMLEmHAtiW9NerN22Fu6uPhQqBCwuLcFwwIPhyBDE0SBOmlsHXzwCpycCdSCCh375J7ijAWhVavRFfVCBchVSeKeAYocN5bk5iARTCIXiLO1BmKqveiMIh4G1ze34sLcbEV0ccW+cXatU4CNHY2K/RApByRxglMtUKyhg1mqR49BhdHgUNiM9kBCRVgt4bssevFHfBEOBDvmlJlDiSo1SgMNmGq98LJD/OI2ANwlfMghVSkCcwtOTYRxVl4uAEEEsGYfNnosFM+woVZkx6HHjlHOPRInDjmMWHYE8Rw5W19ej1lGBcCqFaDgF/CPNwtt71mP7wCDWNR+AQa9jgnvcJyJIFbUNaehydLDlmeAZCSAcjOGub1+I/BIrC68tNOdDp6JrPI03318Hi83AnMuRcBxT66bjwssvR8foEBbUzYHbH8Se/QcwODaMF9e9B23KBp9ewNzqBdBYgO5+J1589k3s2N6Ky05bDoseuOra7+Gki76Oux75NT7avgbBoQAMSjtmVsyGQhSwtuMAtnT04v6nHkeCHvYk6VGVgj3ooD5x+vFnsgcRJMZSODwJbyRKipTDlc6BUkBSGC8y5Y/F2LXtohBnuwG+SISeicFHYdGCiHgiye59SsrxCgF6jRZjwShL/dDt80CvVSOSTrJ2BHbeFNCQbVAQoDGokBYVyLNpEYkmsb2lF2+2tSOVCmJTWyccU6ZDp1Ydrn9fOJx/C3kIJg2I6TOJAJlOBBpkSQMsGgyTmEaDOsrHR3mY6GW55R5ctfZultfpnfkJVmnx5E2r2Is+09/pRd9pnpKSgol2JFeF5PLJFPHkkPgoIYVR0eD2km/czAYamSG90n5muvJoGWmwIoV6ZQpdUhigfD2TDV4yHQ/yEC5JdMgWYkVtZiakzyRzGXmIZOY+ygfOtP2/9j0+4b6QQggJaeCcLWRNfuwz855JhTGkwgGZx0t6kVNQ2md5Unpp3YcaoB4UevuPticbTGeeo38Jebzl1okQTDkkFkuFDD6uGIu0Xuka+DTI1y0/zyTGyMMG5SHlLLRTJnI/csl8HLj2Nfxmcw+71uidril6p2uNrkP6TNVz6TNdY832F1kOPrrmrLbCiT4u77/kypUfL+l6koejygsjZDpG5WKI1O+k8FRpuny/pFBgaV6pqIcUFim/HqUwTKnfSOG08rBI6RqWlpOfY+rz5NiSpsvPgySgSO9ypy61KxdFsrlZM/uutP1S6KV8mw6FNI/0Lm0vtU/3uWx5+bKtV7qeMu990j1Jft1lXgc0P92LqT9R36EXfaYX9R/pfi3/e+Yrm8AntSe1L7lWpbDvbA5f+W+AtHymwEffpX4h9SUpxFc6D9mOs3SMMlM5SPcbabulPpHpfJTWI/8ufZafk8x7auZvWDY3NlWxl1/zcoGN+rEk8Elk3rOzIf09229L5n5kbr98vfKHQx+HFLKbuYy0zk9TgOOwOfk4HA6Hw+FwOBwOh8PhcDgczn8H/iicw+FwOBwOh8P5nOnt7YXL9U/H1afF4XCgvLz8sG4Th8PhcDicLzZc5ONwOBwOh8PhcD5nga+ubjoikfBnXodeb0BLSzMX+jgcDofD4UzART4Oh8PhcDgcDudzhBx8JPCdfdE9cORXfvrlR7vx+ov3svVwNx+Hw+FwOBwJLvJxOBwOh8PhcDj/BUjgKyyZ9qU49oIg4JVXXsG55577H2uju7sbVVVV2L17N+bNm/eZ13Pcccex5X/xi1/gy8SXdb85HA7n/ycOW3VdDofD4XA4HA6H88XlwQcfZGLczTff/KmXraysZMvKX6Wl49UuOf8Znn32Wdhstk+93IYNG9j58Xq9B01ftWoV7r///sO4hRwOh8P5vOFOPg6Hw+FwOBwO50vOjh078Nvf/hZz5sz5zOu47777cM0110x8VyqVh2nrOJ8HOTk5/EBzOBzOFxzu5ONwOBwOh8PhcL7EBINBXHrppfj9738Pu93+mddjNptRWFg48crLy5t03oaGBpxwwgnQ6/XIzc3FN7/5TbYdEqIoMtGQ3IBarZaFkb777rsHreOjjz7CEUccAZ1Oh4ULF7Iw3Uz279+P0047DSaTCQUFBbj88ssPqmocCoXwta99jf29qKgIjzzyyCH3sa2tjbngWlpaDpr+2GOPoaam5hO3GwgE2DE3Go2sXVqewmXlLspYLIZbb70VJSUlbL4lS5YwFx5B71//+tfh8/kmnJM/+tGP2N/+/Oc/s+MhnY9LLrkEo6OjEyHNxx9/PPtM55qWu/LKK9n3zPY9Hg87NjSfwWBg+9Pe3v4vTsLVq1dj+vTpbF9PPfVUDA0NHfIYcjgcDuc/Bxf5OBwOh8PhcDicLzHXX389zjjjDKxYsSLr30kEIgHocEHC2imnnMLEI3IQvvTSS1i7di1uuOGGiXkef/xxJrj9/Oc/x759+9j8Z5999oTIRILgmWeeiRkzZqC+vp4JXCSIyaFwVBISSQjcuXMnEwlHRkZw0UUXTczzve99Dxs3bsRrr72GNWvWMPFs165dk2771KlTmYD217/+9aDp9J3EtE/a7ne/+118+OGHeP311/Hee+/hgw8++Jd26Xhs3boVf/vb39gxuPDCC5mIRsfgyCOPZLnzLBYLE9XoJe1/IpFgYbd79+7Fq6++yoQ9ScgrKyvDyy+/zD63tray5ehYZ4OWoe2nbaTtSKfTOP3009n6JcLhMDtHJCxu2rSJVY7OPA8cDofD+fzg4bocDofD4XA4HM6XFBKQSFwisW0yyGlGzrqP4/bbb8fdd9898f2BBx7AjTfe+C/zPffcc4hGo/jTn/7EHGrEr371K5x11ll46KGHmPONhCNa38UXX8z+TtPff/99Jmz97//+L1sHbdNTTz3FnHwzZ85Ef38/rrvuuol2aJ0ktNF2SDz99NNM6CJHXnFxMVv+L3/5C0488UT29z/+8Y8fm0uQHHi0bil/Ha2LhEZazydpl44ntUP7ILX7zDPPsO2RILGMptG7NJ3EMxIMaTqt22q1MiceufXkXHXVVROfq6ur8ctf/hKLFi1iwii57aSw3Pz8/Elz+pGQSOIeCZEkKEpCJu0DCYckOBIk+D355JMTLkYSJsmByeFwOJz/Dlzk43A4HA6Hw+FwvoT09fXhpptuYk4yEsom46c//eknWh+54iTHGOFwOLLO19zcjLlz504IfMTy5cuZaEfuMgrhHRwcZNPk0Hdyp0nroPyB8u1etmzZQfPTvCQMkrCVyYEDBxCJRBCPx1kYrAQJYNOmHbriMQmPJLht27YNS5cuZeLX/PnzUVdX94nbJXFs8eLFE9NJsJO3S+HMqVSKOQflUAgvhTcfCsnZSNtBIbeSQEuCITkfPwl0fFUq1UHHhtqlbaS/SVAYrzxMmQRMKTSYw+FwOJ8/XOTjcDgcDofD4XC+hJAYRIIMCVQSJCxR2CW50UhQ+jTFM0jUmzJlCv6vQM41yR2YCYlRHR0dn2m95JyjcFxy4pHIR+9yB+HhaJfWQceezlHmOcgmHmaGQtOLxEfKi0jiHn0nQfNwo1arD/pOzkIK6+VwOBzOfweek4/D4XA4HA6Hw/kSQqGi5Bjbs2fPxIvyzVE4Kn3+T1XHpSIN5DIjQUqCwkIVCgVzilGeOQpRpWly6LvkRKN1UJ46CvuVIGedHBIvGxsbUVlZycRH+YtchORAI5Fq+/btE8uQ841Caj8OOkYvvPACy1XX2dk5EVb8SdqlEFpqVx4iTQU05O1SuC8JriTCZq5DCs/VaDRsHjlUEGRsbAwPPvggjj76aOYuzHTW0XJE5rJy6Pgmk8mDjg2tl5yWn9QNyOFwOJzPHy7ycTgcDofD4XA4X0Ko+uqsWbMOepEIRWGZ9FnizjvvZFVWDxckkFGY7RVXXMGq0FJo63e+8x1WgZby8Umhv+SEIyGNhKU77riDCY8UXkxQkQtyjV1zzTVoamrC22+/zfL4ZRYUcbvdWLlyJRPUKFSWKsFSVVoSuMgRd/XVV7O21q9fz7aFwo1JbPw4zjvvPFYhlxx8VK1Wnk/v49ql4077Tu3SvpMgSNtB7dI+ERSmS8eJjvuqVavQ1dXFqglT6PRbb73F5iERkRx/69atY5V7qQhGeXk5E/GeeOIJJj5SXj0pd6BERUUFa+fNN9+E0+k8qKqxRG1tLc455xx2fDdv3sxE2csuu4xV+qXpHA6Hw/m/CRf5OBwOh8PhcDgczqRQBVYK+TxcUB43Er1ICKOCEBdccAFzFVKIsAQV7KAKtLfccgtmz57NCk6QYEXiE0EC3RtvvMGciOR6u+uuu/4lPFZyA5KwdvLJJ7P13HzzzazYhCTkPfzww8zxRuG1VF34qKOOwoIFCz52H0ioo2VI/CIx7tO2++ijj7IcglQhmNqlfIPknpPnGKQCGyTy0TEgh+O5557LREMS8ggqiPGtb30LX/3qV1lY7s9+9jP2/uyzz7KKxeS4I0dfpvhJQt29997LhFMSVeVVjeVQ+3QsaBtpWykMl8TUzBBdDofD4fzfQUjzpAkcDofD4XA4HM7nBlWzJfHkqhueQWHJoYs8ZGN4oBVP/+rrLF+bPJ8e54sLhS6T+PbII48wVx+Hw+FwOJ8FXniDw+FwOBwOh8PhcD5Hdu/ezfLnUYVdysd33333sek8FJbD4XA4/w5c5ONwOBwOh8PhcP4LuEa7P9flOP+3oDBayjdIOfTI2fnBBx+wCsUcDofD4XxWeLguh8PhcDgcDofzOUL57erqpiMSCX/mdej1BrS0NE/kZ+NwOBwOh8PhIh+Hw+FwOBwOh/NfEPqoIupnhRxfXODjcDgcDocjh4t8HA6Hw+FwOBwOh8PhcDgczhec8RruHA6Hw+FwOBwOh8PhcDgcDucLCxf5OBwOh8PhcDgcDofD4XA4nC84XOTjcDgcDofD4XA4HA6Hw+FwvuBwkY/D4XA4HA6Hw+FwOBwOh8P5gsNFPg6Hw+FwOBwOh8PhcDgcDucLDhf5OBwOh8PhcDgcDofD4XA4nC84XOTjcDgcDofD4XA4HA6Hw+FwvuBwkY/D4XA4HA6Hw+FwOBwOh8P5gsNFPg6Hw+FwOBwOh8PhcDgcDucLDhf5OBwOh8PhcDgcDofD4XA4nC84XOTjcDgcDofD4XA4HA6Hw+FwvuBwkY/D4XA4HA6Hw+FwOBwOh8PBF5v/B1e9oZec8U+oAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1400x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build an RGB DataArray using the tile’s coordinates\n",
    "rgb_da = xr.DataArray(\n",
    "    rgb_img,\n",
    "    dims=(\"y\", \"x\", \"band\"),\n",
    "    coords={\"y\": stack.y.values, \"x\": stack.x.values, \"band\": [\"R\", \"G\", \"B\"]},\n",
    ")\n",
    "\n",
    "worldcover_colors = {\n",
    "    1: \"#419bdf\",\n",
    "    2: \"#397d49\",\n",
    "    4: \"#7a87c6\",\n",
    "    5: \"#e49635\",\n",
    "    7: \"#c4281b\",\n",
    "    8: \"#a59b8f\",\n",
    "    11: \"#e3e2c3\",\n",
    "}\n",
    "classes = list(worldcover_colors.keys())\n",
    "cmap = ListedColormap([worldcover_colors[i] for i in classes])\n",
    "norm = BoundaryNorm(classes + [classes[-1] + 1], cmap.N)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 6), constrained_layout=True)\n",
    "\n",
    "# Left: true-color tile (coordinates from stack)\n",
    "rgb_da.plot.imshow(\n",
    "    ax=axes[0],\n",
    "    rgb=\"band\",\n",
    "    add_colorbar=False,\n",
    ")\n",
    "axes[0].set_title(\"Sentinel-2 True Color\")\n",
    "axes[0].set_aspect(\"equal\")\n",
    "axes[0].axis(\"off\")\n",
    "\n",
    "# Right: predicted classes\n",
    "pred_da.plot.imshow(\n",
    "    ax=axes[1],\n",
    "    cmap=cmap,\n",
    "    norm=norm,\n",
    "    add_colorbar=False,\n",
    ")\n",
    "axes[1].set_title(\"Model Prediction (WorldCover classes)\")\n",
    "axes[1].set_aspect(\"equal\")\n",
    "axes[1].axis(\"off\")\n",
    "\n",
    "legend_handles = [\n",
    "    plt.Line2D(\n",
    "        [0],\n",
    "        [0],\n",
    "        marker=\"s\",\n",
    "        color=\"none\",\n",
    "        markerfacecolor=worldcover_colors[c],\n",
    "        markersize=12,\n",
    "        linestyle=\"\",\n",
    "        label=f\"{c}: {worldcover_classes[c]}\",\n",
    "    )\n",
    "    for c in classes\n",
    "]\n",
    "axes[1].legend(\n",
    "    handles=legend_handles,\n",
    "    loc=\"lower center\",\n",
    "    bbox_to_anchor=(0.5, -0.05),\n",
    "    ncol=3,\n",
    "    frameon=False,\n",
    ")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1769225a",
   "metadata": {},
   "source": [
    "### 8. Export Predictions as a Cloud-Optimized GeoTIFF\n",
    "\n",
    "Write the labeled raster to disk so you can share or publish the map. This cell stamps CRS, transform and nodata metadata on `pred_da`, writes a temporary GeoTIFF, and uses `cog_translate` to produce the final COG either locally or directly to S3 (toggle `UPLOAD_TO_S3` as needed). Run it to generate the `lulc_<tile_id>.tif` output; the temporary file is removed automatically when saving locally.\n",
    "\n",
    "The output is written as `int8`. WorldCover class codes run from 1 to 11 and nodata is 0, so a signed byte is ample and halves the file size against `int16`. Tagging the nodata value explicitly means GIS software will render masked pixels as transparent rather than as a spurious class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c032875",
   "metadata": {},
   "outputs": [],
   "source": [
    "INFERENCE_OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
    "temp_tif = cog_path.with_suffix(\".tmp.tif\")\n",
    "\n",
    "pred_da.rio.write_crs(stack.rio.crs, inplace=True)\n",
    "pred_da.rio.write_transform(stack.rio.transform(), inplace=True)\n",
    "pred_da.rio.write_nodata(NODATA_VALUE, inplace=True)\n",
    "# Class codes are 1-11, so int8 halves the on-disk/memory footprint vs int16.\n",
    "pred_da.fillna(NODATA_VALUE).rio.to_raster(temp_tif, dtype=\"int8\")\n",
    "\n",
    "if UPLOAD_TO_S3:\n",
    "    s3_vsis = f\"/vsis3/{S3_BUCKET}/{S3_PREFIX.rstrip('/')}/{cog_path.name}\"\n",
    "    cog_translate(temp_tif, s3_vsis, COG_PROFILE, in_memory=False, quiet=False)\n",
    "else:\n",
    "    cog_translate(temp_tif, cog_path, COG_PROFILE, in_memory=False, quiet=False)\n",
    "    temp_tif.unlink(missing_ok=True)\n",
    "    print(\"Saved COG:\", cog_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b874fa99",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "We have built an end-to-end ML workflow on Sentinel-2 and ESA WorldCover imagery, from acquisition through to a land-cover classification map over an unseen tile. Along the way we touched a good part of the RAPIDS ecosystem: streaming scenes with Dask, cleaning and compositing them with Dask-backed Xarray, moving the samples on device with cupy-xarray, training a cuML random forest, and generating predictions into a Cloud-Optimized GeoTIFF.\n",
    "\n",
    "It is worth being clear about where the acceleration actually came from. Training and inference are compute-bound and run entirely on the GPU, and that is where the speedup lives. Stage 1 is dominated by streaming tens of gigabytes of imagery over the network, so its runtime is governed by I/O rather than by arithmetic and Dask's parallelism is what helps there.\n",
    "\n",
    "## Future Steps\n",
    "\n",
    "The class imbalance that was in the prior version of this notebook has been addressed, but the model still has a clear weak spot: crops (F1 0.51) and rangeland (0.57), both frequently confused with built area. Three directions are worth pursuing.\n",
    "\n",
    "**Add the SWIR bands.** B11 and B12 sit at 1.6 µm and 2.2 µm and respond to vegetation moisture and soil composition in ways that the visible and near-infrared bands cannot. They are the single most likely fix for the crops/rangeland confusion. They arrive at 20 m and would need resampling to the 10 m grid, and adding them means re-running Stage 1.\n",
    "\n",
    "**Move beyond an annual median.** Collapsing a year to one value discards phenology which is the seasonal growth cycle that most clearly separates cropland from permanent cover. Seasonal composites, or simple per-pixel statistics like the standard deviation across the year, would give the model something to work with.\n",
    "\n",
    "**Broaden the training footprint.** Two AOIs is enough to demonstrate the problem and the fix, but a model intended for real use would want AOIs spanning more climate zones and more of the rare classes.\n",
    "\n",
    "One operational improvement is also worth noting: Stage 1 currently holds every AOI's stack in memory at once. Processing AOIs sequentially and releasing each stack after its Zarr write would roughly halve peak memory for the two-AOI case, and makes the notebook runnable on considerably smaller machines."
   ]
  }
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