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    "<img src=\"../../data/images/gempy_logo.png\" />\n",
    "\n",
    "# <center> From Maps to Models - Tutorials for structural geological modeling using GemPy and GemGIS</center>\n",
    "\n",
    "# Model 3 - Faulted Layers\n",
    "\n",
    "\n",
    "This third notebook in this tutorial series builds upon the [first notebook](model1_Horizontal_Layers.ipynb) ([notebook on Github](https://nbviewer.org/github/cgre-aachen/gemgis_data/blob/main/notebooks/01_basic_modeling/model1_Horizontal_Layers.ipynb)) and [second notebook](model2_Folded_Layers.ipynb) ([notebook on Github](https://nbviewer.org/github/cgre-aachen/gemgis_data/blob/main/notebooks/01_basic_modeling/model2_Folded_Layers.ipynb)) where horizontal and folded layers were modeled, respectively. This notebook illustrates how to create a simple sample model of faulted layers in `GemPy`. The model consists of three parallel layers and two faults and has an extent of 1000 m by 1000 m with a vertical extent of 600 m. \n",
    "\n",
    "If you have not gone through the introduction notebook for the course, please check it out: [Introduction Notebook](../00_introduction_to_structural_modeling.ipynb) ([notebook on Github](https://nbviewer.org/github/cgre-aachen/gemgis_data/blob/main/notebooks/00_introduction_to_structural_modeling.ipynb))\n",
    "\n",
    "\n",
    "\n",
    "<div class=\"alert alert-block alert-success\">\n",
    "<b>In this tutorial, you will learn the following:</b> <br>\n",
    "- Get an understanding of how faults are modeled/displayed in GemPy<br>\n",
    "- How to build a simple model consisting of <b>faulted layers</b> belonging to <b>one Series</b><br>\n",
    "\n",
    "</div>\n",
    "\n",
    "## Contents\n",
    "\n",
    "1. [Installing GemPy](#installing-gempy)\n",
    "2. [Importing Libraries](#importing-libraries)\n",
    "3. [Data Preparation](#data-preparation)\n",
    "    1. [Importing Interface Points](#importing-interface-points)\n",
    "    2. [Importing Orientations](#importing-orientations)\n",
    "4. [GemPy Model Calculation](#gempy-model-calculation)\n",
    "    1. [Creating the GemPy Model](#creating-the-gempy-model)\n",
    "    2. [Inspecting the Surfaces](#inspecting-the-surfaces)\n",
    "    3. [Inspecting the Input Data](#inspecting-the-input-data)\n",
    "    4. [Map Stack to Surfaces](#map-stack-to-surfaces)\n",
    "    5. [Setting Faults](#setting-faults)\n",
    "    6. [Plotting Input Data in 2D](#plotting-the-input-data-in-2d)\n",
    "    7. [Plotting Input Data in 3D](#plotting-the-input-data-in-3d)\n",
    "    8. [Setting the Interpolator](#setting-the-interpolator)\n",
    "    9. [Computing the Model](#computing-the-model)\n",
    "5. [Model Visualization and Post-Processing](#model-visualization-and-post-processing)\n",
    "    1. [Visualizing Cross Sections of the Computed Model](#visualizing-cross-sections-of-the-computed-model)\n",
    "    2. [Visualizing the computed model in 3D](#visualizing-the-computed-model-in-3d)\n",
    "6. [Conclusions](#conclusions)\n",
    "7. [Outlook](#outlook)\n",
    "8. [Licensing](#licensing)\n",
    "\n",
    "\n",
    "\n",
    "<img src=\"../images/model3.png\" width=500/>\n"
   ]
  },
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   "cell_type": "markdown",
   "id": "ba7d20fc",
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   "source": [
    "In reality, most geological settings are formed by a concatenation of depositional phases partitioned by unconformity boundaries and subjected to tectonic stresses that displace and deform the layers. While the interpolation is able to represent realistic folding – given enough data – the method fails to describe discontinuities. To overcome this limitation, it is possible to combine several scalar fields to recreate the desired result. So far, the implemented discontinuities in GemPy are unconformities and infinite faults. Both types are computed by specific combinations of independent scalar fields. To display the offset of faults, a drift function is calculated. \n",
    "\n",
    "\n",
    "Faults require the same input data as layers, interface points and orientations. `GemPy` has to be told that faults are present in the model in order to treat them as such. This is done with the function `gp.set_is_fault()` where you pass the name of the faults. \n",
    "\n",
    "\n",
    "<img src=\"../../data/images/model3_fig1.PNG\" width=500/>\n",
    "Source: <a href=\"https://doi.org/10.5194/gmd-12-1-2019\">de la Varga et al. (2019)</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "solid-hormone",
   "metadata": {},
   "source": [
    "<a id='installing-gempy'></a>\n",
    "\n",
    "# Installing GemPy\n",
    "\n",
    "If you have not installed `GemPy` yet, please follow the [installation instructions](https://docs.gempy.org/installation.html). If you encounter any issues, feel free to open a new discussion at [GemPy Discussions](https://github.com/cgre-aachen/gempy/discussions). If you encounter an error in the installation process, feel free to also open an issue at [GemPy Issues](https://github.com/cgre-aachen/gempy/issues). There, the `GemPy` development team will help you out. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "artificial-customs",
   "metadata": {},
   "source": [
    "<a id='importing-libraries'></a>\n",
    "\n",
    "# Importing Libraries\n",
    "\n",
    "For this notebook, we need the `pandas` library for the data preparation, `matplotlib` for plotting and of course the `gempy` library. The `gempy_viewer` library is used to plot the modeling results. Any warnings that may appear can be ignored for now. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2f498618",
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    {
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     "output_type": "stream",
     "text": [
      "Setting Backend To: AvailableBackends.numpy\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import gempy as gp\n",
    "import gempy_viewer as gpv\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "jewish-complex",
   "metadata": {},
   "source": [
    "<a id='data-preparation'></a>\n",
    "# Data Preparation\n",
    "\n",
    "For this model, the only thing that needs to be done is loading the already created interface points and orientations. In the next tutorials, you will create the data yourself and process it further to make it usable for GemPy. \n",
    "\n",
    "<a id='importing-interface-points'></a>\n",
    "## Importing Interface Points\n",
    "\n",
    "We are using the `pandas` library ([Pandas](https://pandas.pydata.org/docs/)) to load the interface points that were prepared beforehand and stored as CSV-file (comma-separated-file). The only information that is needed are the location of the interface point (`X`, `Y`, `Z`) and the `formation` it belongs to. You may have to adjust the `delimiter` (`'\\t'`, `','`, `';'`, `' '`) when loading the file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9c8c178c",
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       "     X    Y    Z formation\n",
       "0  200  250 -100    Layer1\n",
       "1  200  500 -100    Layer1\n",
       "2  200  750 -100    Layer1\n",
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   "source": [
    "interfaces = pd.read_csv('../../data/model3/model3_interfaces.csv', \n",
    "                         delimiter = ';')\n",
    "interfaces.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "occupied-simulation",
   "metadata": {},
   "source": [
    "<a id='importing-orientations'></a>\n",
    "\n",
    "## Importing Orientations\n",
    "\n",
    "The orientations will also be loaded using `pandas`. In addition to the location and the formation the orientation belongs to, the dip value, azimuth value (dip direction) and a polarity value (mostly set to 1 by default) needs to be provided. As the model will feature faulted layers, the dip and the azimuth values may be variable. Orientations are provided for all three modeled layers. "
   ]
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       "     X    Y    Z formation  dip  azimuth  polarity\n",
       "0  200  500 -100    Layer1    0        0         1\n",
       "1  800  500 -100    Layer1    0        0         1\n",
       "2  500  500 -300    Layer1    0        0         1\n",
       "3  250  500 -100    Fault1   60       90         1\n",
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   "source": [
    "orientations = pd.read_csv('../../data/model3/model3_orientations.csv', \n",
    "                           delimiter=';')\n",
    "orientations.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "veterinary-acceptance",
   "metadata": {},
   "source": [
    "<a id='gempy-model-calculation'></a>\n",
    "\n",
    "# GemPy Model Calculation\n",
    "\n",
    "The following part introduces the main steps of creating a model in `GemPy`. \n",
    "\n",
    "The creation of a `GemPy` Model follows particular steps which will be performed in the following:\n",
    "\n",
    "1. Create new model and data initiation: `gp.create_geomodel()`\n",
    "2. Map Stack to Surfaces: `gp.map_stack_to_surfaces()`\n",
    "3. [...]\n",
    "4. Computing the Model: `gp.compute_model()`\n",
    "\n",
    "<a id='creating-the-gempy-model'></a>\n",
    "\n",
    "## Creating the GemPy Model and Data Initiation\n",
    "\n",
    "The first step is to create a new empty `GemPy` model by providing a name for it. \n",
    "\n",
    "In addition, the `extent` of the model (`xmin`, `xmax`, `ymin`, `ymax`, `zmin`, `zmax`) and the `resolution` in `X`, `Y`and `Z` direction (`res_x`, `res_y`, `res_z`, equal to the number of cells in each direction) will be set using lists of values. If you want to provide cells with a certain size, you would have to calculate the following. It is important to convert the resulting number of cells into an `int` as only integer values for the number of cells are valid. \n",
    "\n",
    "```python\n",
    "res_x = int((xmax-xmin)/cell_size_x)\n",
    "res_y = int((ymax-ymin)/cell_size_y)\n",
    "res_z = int((zmax-zmin)/cell_size_z)\n",
    "```\n",
    "\n",
    "The interface points (`surface_points_df`) and orientations (`orientations_df`) will be passed as strings with the location of the CSV files. Please mind that you may have to edit the `pandas_reader_kwargs` by adding the `'sep'` key and the delimiter `'\\t'` as item of a dictionary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "eb3ec438",
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     "start_time": "2022-04-02T12:34:24.368236Z"
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   },
   "outputs": [],
   "source": [
    "geo_model: gp.data.GeoModel = gp.create_geomodel(\n",
    "    project_name='Model3_Faulted_Layers',\n",
    "    extent=[0, 1000, 0, 1000, -600, 0], \n",
    "    resolution=[100, 100, 100],  # * Here we define the number of octree levels. If octree levels are defined, the resolution is ignored.\n",
    "    importer_helper=gp.data.ImporterHelper(\n",
    "        path_to_orientations='../../data/model3/model3_orientations.csv',\n",
    "        path_to_surface_points='../../data/model3/model3_interfaces.csv',\n",
    "        pandas_reader_kwargs = {'sep': ';'}\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "armed-story",
   "metadata": {},
   "source": [
    "<a id='inspecting-the-surfaces'></a>\n",
    "\n",
    "## Inspecting the Surfaces\n",
    "\n",
    "The model consists of three different layers or surfaces now which all belong to the `Default series`. During the next step, the proper `Series` will be assigned to the surfaces. Using the `structural_frame`-attribute again, we can check which layers were loaded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9e8519ea",
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    "ExecuteTime": {
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   "outputs": [
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       "\n",
       "        <table>\n",
       "          <tr><td>Structural Groups:</td><td>\n",
       "    <table style=\"border-left:1.2px solid black;>\n",
       "      <tr><th colspan=\"2\"><b>StructuralGroup:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>default_formation</td></tr>\n",
       "      <tr><td>Structural Relation:</td><td>StackRelationType.ERODE</td></tr>\n",
       "      <tr><td>Elements:</td><td>\n",
       "    <table width=\"50%\" style=\"border-left:15px solid #015482;\">\n",
       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
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       "        <br>\n",
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       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Layer3</td></tr>\n",
       "    </table>\n",
       "        </td></tr>\n",
       "    </table>\n",
       "        </td></tr>\n",
       "          <tr><td>Fault Relations:</td><td><table style=\"border-collapse: collapse; table-layout: fixed;\"><th></th><th style=\"transform: rotate(-35deg); height:150px; vertical-align: bottom; text-align: center;\">default_fo...</th><tr><th>default_formation</th><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td></tr></table></td></tr>\n",
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       "          <tr>\n",
       "            <td><div style=\"display: inline-block; background-color: #527682; width: 20px; height: 20px; border: 1px solid black;\"></div> True</td>\n",
       "            <td><div style=\"display: inline-block; background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></div> False</td>\n",
       "          </tr>\n",
       "        </table>\n",
       "        </td></tr>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "StructuralFrame(\n",
       "\tstructural_groups=[\n",
       "StructuralGroup(\n",
       "\tname=default_formation,\n",
       "\tstructural_relation=StackRelationType.ERODE,\n",
       "\telements=[\n",
       "Element(\n",
       "\tname=Fault1,\n",
       "\tcolor=\u001b[38;2;1;84;130m#015482\u001b[0m,\n",
       "\tis_active=True\n",
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       "Element(\n",
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       "\tis_active=True\n",
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       "Element(\n",
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       "\tis_active=True\n",
       ")\n",
       "]\n",
       ")\n",
       "],\n",
       "\tfault_relations=\n",
       "[[False]],"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_model.structural_frame"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0670ce8e",
   "metadata": {},
   "source": [
    "<a id='inspecting-the-input-data'></a>\n",
    "\n",
    "## Inspecting the Input Data\n",
    "\n",
    "The loaded interface points and orientations can again be inspected using the `surface_points_copy`- and `orientations_copy`-attributes. Using the `df`-attribute of this object will convert the displayed table in a `pandas` `DataFrame`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3e9a8a8f",
   "metadata": {},
   "outputs": [
    {
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      ]
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     "execution_count": 6,
     "metadata": {},
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    }
   ],
   "source": [
    "geo_model.surface_points_copy.df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d5dd786a",
   "metadata": {},
   "outputs": [
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       "       X      Y      Z       G_x           G_y  G_z         id  nugget\n",
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      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_model.orientations_copy.df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "occupational-coaching",
   "metadata": {},
   "source": [
    "<a id='map-stack-to-surfaces'></a>\n",
    "\n",
    "## Map Stack to Surfaces\n",
    "\n",
    "During this step, all three layers of the model are assigned to the `Strata1` series. We know that the layers modeled here are parallel. If the layers were not parallel as shown in the next models, multiple series would be defined. Further, we define two separate series for `Fault1` and `Fault2`. The order within one series also defines the age relations within this series and has to be according to the depositional events of the layers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ca6dfa3e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-02T12:34:25.789299Z",
     "start_time": "2022-04-02T12:34:25.540243Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <table>\n",
       "          <tr><td>Structural Groups:</td><td>\n",
       "    <table style=\"border-left:1.2px solid black;>\n",
       "      <tr><th colspan=\"2\"><b>StructuralGroup:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Fault1</td></tr>\n",
       "      <tr><td>Structural Relation:</td><td>StackRelationType.ERODE</td></tr>\n",
       "      <tr><td>Elements:</td><td>\n",
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       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Fault1</td></tr>\n",
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       "        </td></tr>\n",
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       "        <br>\n",
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       "      <tr><th colspan=\"2\"><b>StructuralGroup:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Fault2</td></tr>\n",
       "      <tr><td>Structural Relation:</td><td>StackRelationType.ERODE</td></tr>\n",
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       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Fault2</td></tr>\n",
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       "    </table>\n",
       "        <br>\n",
       "    <table style=\"border-left:1.2px solid black;>\n",
       "      <tr><th colspan=\"2\"><b>StructuralGroup:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Strata1</td></tr>\n",
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       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Layer1</td></tr>\n",
       "    </table>\n",
       "        <br>\n",
       "    <table width=\"50%\" style=\"border-left:15px solid #728f02;\">\n",
       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Layer2</td></tr>\n",
       "    </table>\n",
       "        <br>\n",
       "    <table width=\"50%\" style=\"border-left:15px solid #443988;\">\n",
       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Layer3</td></tr>\n",
       "    </table>\n",
       "        </td></tr>\n",
       "    </table>\n",
       "        </td></tr>\n",
       "          <tr><td>Fault Relations:</td><td><table style=\"border-collapse: collapse; table-layout: fixed;\"><th></th><th style=\"transform: rotate(-35deg); height:150px; vertical-align: bottom; text-align: center;\">Fault1</th><th style=\"transform: rotate(-35deg); height:150px; vertical-align: bottom; text-align: center;\">Fault2</th><th style=\"transform: rotate(-35deg); height:150px; vertical-align: bottom; text-align: center;\">Strata1</th><tr><th>Fault1</th><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td></tr><tr><th>Fault2</th><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td></tr><tr><th>Strata1</th><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td></tr></table></td></tr>\n",
       "          <tr><td></td><td>\n",
       "        <table>\n",
       "          <tr>\n",
       "            <td><div style=\"display: inline-block; background-color: #527682; width: 20px; height: 20px; border: 1px solid black;\"></div> True</td>\n",
       "            <td><div style=\"display: inline-block; background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></div> False</td>\n",
       "          </tr>\n",
       "        </table>\n",
       "        </td></tr>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "StructuralFrame(\n",
       "\tstructural_groups=[\n",
       "StructuralGroup(\n",
       "\tname=Fault1,\n",
       "\tstructural_relation=StackRelationType.ERODE,\n",
       "\telements=[\n",
       "Element(\n",
       "\tname=Fault1,\n",
       "\tcolor=\u001b[38;2;1;84;130m#015482\u001b[0m,\n",
       "\tis_active=True\n",
       ")\n",
       "]\n",
       "),\n",
       "StructuralGroup(\n",
       "\tname=Fault2,\n",
       "\tstructural_relation=StackRelationType.ERODE,\n",
       "\telements=[\n",
       "Element(\n",
       "\tname=Fault2,\n",
       "\tcolor=\u001b[38;2;159;0;82m#9f0052\u001b[0m,\n",
       "\tis_active=True\n",
       ")\n",
       "]\n",
       "),\n",
       "StructuralGroup(\n",
       "\tname=Strata1,\n",
       "\tstructural_relation=StackRelationType.ERODE,\n",
       "\telements=[\n",
       "Element(\n",
       "\tname=Layer1,\n",
       "\tcolor=\u001b[38;2;255;190;0m#ffbe00\u001b[0m,\n",
       "\tis_active=True\n",
       "),\n",
       "Element(\n",
       "\tname=Layer2,\n",
       "\tcolor=\u001b[38;2;114;143;2m#728f02\u001b[0m,\n",
       "\tis_active=True\n",
       "),\n",
       "Element(\n",
       "\tname=Layer3,\n",
       "\tcolor=\u001b[38;2;68;57;136m#443988\u001b[0m,\n",
       "\tis_active=True\n",
       ")\n",
       "]\n",
       ")\n",
       "],\n",
       "\tfault_relations=\n",
       "[[False, False, False],\n",
       " [False, False, False],\n",
       " [False, False, False]],"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gp.map_stack_to_surfaces(gempy_model=geo_model,\n",
    "                         mapping_object=\n",
    "                         {\n",
    "                          'Fault1': ('Fault1'),\n",
    "                          'Fault2': ('Fault2'),\n",
    "                          'Strata1': ('Layer1', 'Layer2', 'Layer3'),                          \n",
    "                         },\n",
    "                         remove_unused_series=True)\n",
    "geo_model.structural_frame"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "571d2db3",
   "metadata": {},
   "source": [
    "<a id='setting-faults'></a>\n",
    "\n",
    "## Setting Faults \n",
    "\n",
    "In addition to `Series` for the layers, we defined two `Series` containing the two faults. In order for `GemPy` to recognize the faults as faults, we need to define them as faults (`gp.set_is_fault()`). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ff7d420b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "        <table>\n",
       "          <tr><td>Structural Groups:</td><td>\n",
       "    <table style=\"border-left:1.2px solid black;>\n",
       "      <tr><th colspan=\"2\"><b>StructuralGroup:</b></th></tr>\n",
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       "      <tr><td>Name:</td><td>Strata1</td></tr>\n",
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       "    <table width=\"50%\" style=\"border-left:15px solid #ffbe00;\">\n",
       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
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       "    </table>\n",
       "        <br>\n",
       "    <table width=\"50%\" style=\"border-left:15px solid #728f02;\">\n",
       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Layer2</td></tr>\n",
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       "        <br>\n",
       "    <table width=\"50%\" style=\"border-left:15px solid #443988;\">\n",
       "      <tr><th colspan=\"2\"><b>StructuralElement:</b></th></tr>\n",
       "      <tr><td>Name:</td><td>Layer3</td></tr>\n",
       "    </table>\n",
       "        </td></tr>\n",
       "    </table>\n",
       "        </td></tr>\n",
       "          <tr><td>Fault Relations:</td><td><table style=\"border-collapse: collapse; table-layout: fixed;\"><th></th><th style=\"transform: rotate(-35deg); height:150px; vertical-align: bottom; text-align: center;\">Fault1</th><th style=\"transform: rotate(-35deg); height:150px; vertical-align: bottom; text-align: center;\">Fault2</th><th style=\"transform: rotate(-35deg); height:150px; vertical-align: bottom; text-align: center;\">Strata1</th><tr><th>Fault1</th><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #527682; width: 20px; height: 20px; border: 1px solid black;\"></td></tr><tr><th>Fault2</th><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #527682; width: 20px; height: 20px; border: 1px solid black;\"></td></tr><tr><th>Strata1</th><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td><td style=\"background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></td></tr></table></td></tr>\n",
       "          <tr><td></td><td>\n",
       "        <table>\n",
       "          <tr>\n",
       "            <td><div style=\"display: inline-block; background-color: #527682; width: 20px; height: 20px; border: 1px solid black;\"></div> True</td>\n",
       "            <td><div style=\"display: inline-block; background-color: #FFB6C1; width: 20px; height: 20px; border: 1px solid black;\"></div> False</td>\n",
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       "        </td></tr>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "StructuralFrame(\n",
       "\tstructural_groups=[\n",
       "StructuralGroup(\n",
       "\tname=Fault1,\n",
       "\tstructural_relation=StackRelationType.FAULT,\n",
       "\telements=[\n",
       "Element(\n",
       "\tname=Fault1,\n",
       "\tcolor=\u001b[38;2;82;118;130m#527682\u001b[0m,\n",
       "\tis_active=True\n",
       ")\n",
       "]\n",
       "),\n",
       "StructuralGroup(\n",
       "\tname=Fault2,\n",
       "\tstructural_relation=StackRelationType.FAULT,\n",
       "\telements=[\n",
       "Element(\n",
       "\tname=Fault2,\n",
       "\tcolor=\u001b[38;2;82;118;130m#527682\u001b[0m,\n",
       "\tis_active=True\n",
       ")\n",
       "]\n",
       "),\n",
       "StructuralGroup(\n",
       "\tname=Strata1,\n",
       "\tstructural_relation=StackRelationType.ERODE,\n",
       "\telements=[\n",
       "Element(\n",
       "\tname=Layer1,\n",
       "\tcolor=\u001b[38;2;255;190;0m#ffbe00\u001b[0m,\n",
       "\tis_active=True\n",
       "),\n",
       "Element(\n",
       "\tname=Layer2,\n",
       "\tcolor=\u001b[38;2;114;143;2m#728f02\u001b[0m,\n",
       "\tis_active=True\n",
       "),\n",
       "Element(\n",
       "\tname=Layer3,\n",
       "\tcolor=\u001b[38;2;68;57;136m#443988\u001b[0m,\n",
       "\tis_active=True\n",
       ")\n",
       "]\n",
       ")\n",
       "],\n",
       "\tfault_relations=\n",
       "[[False, False,  True],\n",
       " [False, False,  True],\n",
       " [False, False, False]],"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gp.set_is_fault(frame=geo_model.structural_frame,\n",
    "                fault_groups = ['Fault1', 'Fault2'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "directed-immigration",
   "metadata": {},
   "source": [
    "<a id='plotting-the-input-data-in-2d'></a>\n",
    "\n",
    "## Plotting the input data in 2D using Matplotlib\n",
    "\n",
    "The input data can now be visualized in 2D using `matplotlib`. This might for example be useful to check if all points and measurements are defined the way we want them to. Using the function `plot_2d()`, we attain a 2D projection of our data points onto a plane of chosen direction (we can choose this attribute to be either `'x'`, `'y'`, or `'z'`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ee36f42b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-02T12:34:26.152213Z",
     "start_time": "2022-04-02T12:34:25.792302Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\gempy_viewer\\API\\_plot_2d_API.py:176: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
      "  p.fig.show()\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1040x715 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gpv.plot_2d(geo_model, \n",
    "           direction='z', \n",
    "           show_lith=False, \n",
    "           show_boundaries=False)\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "objective-standard",
   "metadata": {},
   "source": [
    "<a id='plotting-the-input-data-in-3d'></a>\n",
    "\n",
    "## Plotting the input data in 3D using PyVista\n",
    "\n",
    "The input data can also be viszualized using the `pyvista` package. In this view, the interface points are visible as well as the orientations (marked as arrows) which indicate the normals of each orientation value. \n",
    "\n",
    "The `pyvista` package requires the Visualization Toolkit (VTK) to be installed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "03cfc42d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-02T12:34:26.690389Z",
     "start_time": "2022-04-02T12:34:26.155214Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\pyvista\\jupyter\\notebook.py:56: UserWarning: Failed to use notebook backend: \n",
      "\n",
      "cannot import name 'vtk' from 'trame.widgets' (C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\trame\\widgets\\__init__.py)\n",
      "\n",
      "Falling back to a static output.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<gempy_viewer.modules.plot_3d.vista.GemPyToVista at 0x1fefde247d0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gpv.plot_3d(geo_model, \n",
    "            image=False, \n",
    "            show_lith=False,\n",
    "            plotter_type='basic',\n",
    "            kwargs_plotter= {'notebook':True},)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "elementary-camping",
   "metadata": {},
   "source": [
    "<a id='setting-the-interpolator'></a>\n",
    "## Setting the interpolator\n",
    "\n",
    "Unlike previous versions, GemPy 3 doesn’t rely on theano or asera. Instead, it utilizes numpy or tensorflow. Consequently, we no longer need to recompile all theano functions (TensorFlow uses eager execution; we found no notable speed difference after profiling the XLA compiler).\n",
    "\n",
    "The parameters used for the interpolation are stored in gempy.core.data.GeoModel.interpolation_options. These parameters have sensible default values that you can modify if necessary. However, we advise caution when changing these parameters unless you fully understand their implications.\n",
    "\n",
    "Display the current interpolation options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8e27b70d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-02T12:34:29.915220Z",
     "start_time": "2022-04-02T12:34:26.693389Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "InterpolationOptions(kernel_options=KernelOptions(range=1.7, c_o=10.0, uni_degree=1, i_res=4.0, gi_res=2.0, number_dimensions=3, kernel_function=AvailableKernelFunctions.cubic, kernel_solver=Solvers.DEFAULT, compute_condition_number=False, optimizing_condition_number=False, condition_number=None), evaluation_options=EvaluationOptions(_number_octree_levels=1, _number_octree_levels_surface=4, octree_curvature_threshold=-1.0, octree_error_threshold=1.0, octree_min_level=2, mesh_extraction=True, mesh_extraction_masking_options=<MeshExtractionMaskingOptions.INTERSECT: 3>, mesh_extraction_fancy=True, evaluation_chunk_size=500000, compute_scalar_gradient=False, verbose=False), debug=True, cache_mode=<CacheMode.IN_MEMORY_CACHE: 3>, cache_model_name='Model3_Faulted_Layers', block_solutions_type=<BlockSolutionType.DENSE_GRID: 2>, sigmoid_slope=5000000, debug_water_tight=False)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_model.interpolation_options"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "innovative-cradle",
   "metadata": {},
   "source": [
    "<a id='computing-the-model'></a>\n",
    "\n",
    "## Computing the model\n",
    "\n",
    "At this point, we have all we need to compute our full model via `gp.compute_model()`. By default, this will return two separate solutions in the form of arrays. The first provides information on the lithological formations, the second on the fault network in the model, which is not present in this example. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5b7b2377",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-02T12:34:48.346344Z",
     "start_time": "2022-04-02T12:34:29.918244Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting Backend To: AvailableBackends.numpy\n",
      "Chunking done: 15 chunks\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\gempy_engine\\modules\\activator\\_soft_segment.py:95: RuntimeWarning: overflow encountered in exp\n",
      "  return 1.0 / (1.0 + bt.t.exp(x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chunking done: 15 chunks\n",
      "Chunking done: 77 chunks\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\gempy_engine\\modules\\activator\\_soft_segment.py:95: RuntimeWarning: overflow encountered in exp\n",
      "  return 1.0 / (1.0 + bt.t.exp(x))\n",
      "C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\gempy_engine\\modules\\activator\\_soft_segment.py:95: RuntimeWarning: overflow encountered in exp\n",
      "  return 1.0 / (1.0 + bt.t.exp(x))\n"
     ]
    }
   ],
   "source": [
    "sol = gp.compute_model(geo_model, \n",
    "                       compute_mesh=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6a77c178",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<b>Solutions:</b> 4 Octree Levels, 5 DualContouringMeshes"
      ],
      "text/plain": [
       "Solutions(4 Octree Levels, 5 DualContouringMeshes)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b5861148",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<b>Solutions:</b> 4 Octree Levels, 5 DualContouringMeshes"
      ],
      "text/plain": [
       "Solutions(4 Octree Levels, 5 DualContouringMeshes)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_model.solutions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "protected-parcel",
   "metadata": {},
   "source": [
    "<a id='model-visualization-and-post-processing'></a>\n",
    "\n",
    "# Model Visualization and Post-Processing\n",
    "\n",
    "<a id='visualizing-cross-sections-of-the-computed-model'></a>\n",
    "\n",
    "## Visulazing Cross Sections of the computed model\n",
    "\n",
    "Cross sections in different `direction`s and at different `cell_number`s can be displayed. Here, we see the horizontal layers in the one direction and the faulted layers in the other direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "eb54b87a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-02T12:34:50.135506Z",
     "start_time": "2022-04-02T12:34:48.349347Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\gempy_viewer\\API\\_plot_2d_API.py:176: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
      "  p.fig.show()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<gempy_viewer.modules.plot_2d.visualization_2d.Plot2D at 0x1fe806db310>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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akE8PXq304qbWtqm8OL3HXKsSIwAAANBQxIXl6oaOy73j+YcHKzk/ztaYAABAw1FYHmpVWawytOV29Wl2wNaYADQ+TEACcF5RwcW6vcsX3vHyY32VlN3O1pgAAEDDkFkSpQ/3D/eORyesV8foVFtjAgAAAPzhhk7L1Sw019p2uQP0StJEuSlKAAAAfOC9fdcqryzS2g5yllvVFwGgrjEBCcAFGdd2rRIi071j00PW5aY0AQAAuDRv7B6rksoQazs8sFjTui22OyQAAADAL0ICynVPt5M3AzdndtG6jO62xgQAAC5/Rwqaac6hod7x1A5fq1V4tq0xAWicmIAE4IIEOl2akTjXO96X10ZLj1xha0wAAODytjsnQV8ePXk+cVuXpYoJ9rR9BQAAABqiYa23KrHJIe/4laQJKncF2BoTAAC4vL2ya6Iq3Z7ziaYhebqp01d2hwSgkWICEoAL1q/5Pg2KS/KO39g9RkUVnooFAAAAF8NUUjQVFavER2RoQrs1tsYEAAAA+JvDIU3vcXKRX2pRM31erWIBAADAxdiQ0VUbMrp5x3d3W6iwwDJbYwLQeDEBCcBFuS9xngIdFdZ2TlmUPtg3wu6QAADAZeirY320J7etdzw9cZ6CnJW2xgQAAADUhS4xRzWqzQbv+P291yqnNMLWmAAAwOWnwuXUzKQJ3nHXmMMaEb/F1pgANG5MQAJwUeIjsjS5wyrv+LODV+lYYaytMQEAgMtLcUWwXt81zjseELdbA+L22BoTAAAAUJfu7LZIYQEl1nZxZaje3DPG7pAAAMBlZl7yEB0tjPOOZ/SYK6fDbWtMABo3JiABuGi3dP5STYLzre0Kd6Be3TXe7pAAAMBlZPb+4coqjba2AxyVur/7yRYUAAAAQGPQNKRAt3Re5h0vSemvfbmtbY0JAABcPnLLwvXO3pHe8bXxm9StSYqtMQEAE5AAXLTwwFJrlVaVtek9tPl4Z1tjAgAAl4e0oib65ODV3vGk9qvUJjLT1pgAAAAAO0zusFKtwj3nwm459fLOSXJTtAAAAFyAt/eMVlFFmLUdElCmu7ottDskAGACEoDaua7NJnWOPuIdmx6zlS7+SQEAAOc2a9d4lbuCrO3ooELd2vlLu0MCAAAAbBHkrNT9ifO846Sc9lqR2tvWmAAAQP13MK+lFh0e6B3f3GmZmoV6OpcAgJ2YLQCgVkwP2ek9TrZLOVzQUvMPD7I1JgAAUL9ty+ygVWm9vONp3RYpIqjE1pgAAAAAOw2K26W+zfZ5x6/tGqfSSs+EfQAAgFOZaommaqLrxG3+FmHZmtrha7vDAgALE5AA1FqPpsm6ptUW7/idvaOUX+Yp9wgAAFBdpduhl5Mmeccdoo5pdMIGW2MCAAAA7OZwSNMT58jpqLTGx0ua6OMD19gdFgAAqKdWpfXU9uyO3vG93ecrOKDC1pgAoAoTkABcknu6L1Sws8zaLigP1zt7r7M7JAAAUA8tPjxQh/JbecczesxVgMNta0wAAABAfdAuKkPj2671jmfvH6aM4hhbYwIAAPVPaWWgZu0a7x33ij2goS132BoTAFTHBCQAlyQuLFc3dFzhHc8/PFjJ+S1sjQkAANQvBeWhenPPaO/4qpbb1Cv2oK0xAQAAAPXJ7V2+UGRQkbVd5grWa7vG2h0SAACoZz49eLXSi5ta2065NCNxjlVNEQDqCyYgAbhkN3Rarmahuda2yx2gl5MmWj1oAQAAjPf2jlR+eYS1HeQs173dF9gdEgAAAFCvRAUX6/YuS7zjFal9tSOrva0xAQCA+iOzJEof7h/hHY9pu04dotNsjQkATsUEJACXLCTA3Eic7x1vzeysNemJtsYEAADqh5SC5pqbPMQ7vr7jCrUIz7E1JgAAAKA+Gt92ndpGnryRaBb5VbopawAAAKTXd49VaWWwtR0RWKw7up6cuAwA9QUTkAD4xDWttimxySHv+NWkCSp3BdgaEwAAsJepiDjTumniOSeIDcnVjR2/sjssAAAAoF4KcLo0PXGud3wgL15fHOlva0wAAMB+u7LbatnRK7zj27p8oZhgT+tWAKhPmIAEwCdMj9kZPebIIZc1TiuO1WcHr7I7LAAAYKMNGd206XhX7/ju7gsVGlhua0wAAABAfdav+X4NbrHTO35z9xgVVYTYGhMAALCPy+2wqiJWaRORoQnt1tgaEwCcDROQAPhM55hjuq7NRu/4/X3XKrs00taYAACAPUwlxJlJE7zjbjGHNaL1FltjAgAAAC4H93Wfr0BHhbWdWxZp5dgAAEDjtOxoX+3NTfCOTbXEQKenGAAA1DdMQALgU3d2W6ywgBJru6QyxFqlBQAAGp+5h4boWFFz79iqlOiwNSQAAADgstA6IktTOqz0jj8/OFRHC2NtjQkAANS94opgvb57rHc8MG6X+sfttTUmADgXJiAB8KmmIQW6pcuX3vGSIwO0Nzfe1pgAAEDdyi2N0Hv7RnrHI+M3qmuTI7bGBAAAAFxObu68TE2C863tCnegXq1WXRQAADQOH+4foezSaGs7wFGp+xPn2R0SAJwTE5AA+KWrq7AAAQAASURBVNzk9qvUKjzTO3555yS53baGBAAA6tCbe0arqCLU2g4NKNXd3RbaHRIAAABwWQkPLNVd3RZ5x+syErXpeGdbYwIAAHUntaipPjlwtXc8qf0qxUecvPcGAPURE5AA+FyQs+Ys7F057bT8WB9bYwIAAHXjQF4rLU4Z4B3f3GmZmoYW2BoTAAAAcDka2WaTOkefrCQ6M2miKlyk9AEAaAxm7RpvVUE0ooMLdGvnk91HAKC+4moFgF8Mitulfs1O9qF9bfc4lVQE2RoTAADwL1Px0Kp8eOIyo0VYlqZ0WGl3WAAAAMBlyelwa0aPOd5xSkELLTg82NaYAACA/23J7KTVaT294zu7LlZEUImtMQHAhWACEgC/cDik6T3myumotMaZJTH66MAwu8MCAAB+tDKtl3Zkd/CO70+cr+CACltjAgAAAC5niU0Pa3jrzd7xO3uvU35ZmK0xAQAA/6l0OTVz50TvuGPUMY1K2GBrTABwoZiABMBv2kZmaEK7Nd7xxweGKaM4xtaYAACAf5RWBurVpPHece/Y/bqyxU5bYwIAAAAagru7LVSws8zaLigP19t7R9kdEgAA8JOFKQOVXNDSO57eY44CHG5bYwKAC8UEJAB+dVvnpYoMKrK2y1xBem3XOLtDAgAAfvDJgWt0vKSJte2Uy6qEaCoiAgAAALg0zcPydGOn5d7xguTBOpTfwtaYAACA75kqh2/vOTnR+KpW29Qr9pCtMQHAxWACEgC/igou1rSui73jFal9tCOrva0xAQAA3zpeHK0P9w/3jse2XacOUWm2xgQAAAA0JNd3XKHmoTnWtkumNcskuSmGAABAg/LuvpHKL4+wtoOd5bq32wK7QwKAi8IEJAB+NzZhvdpFnrwJ+XLSRFW6KYkAAEBD8frusSpzBVvbEYHFuqPrErtDAgAAABqUkIBy3dt9vne8NauT1qQn2hoTAADwncMFcZqXfKV3/I2OK9Qi3DP5GAAuF0xAAuB3AU5PG5YqB/LitSRlgK0xAQAA30jKbqevjvXzjm/vskTRwZ72qwAAAAB85+pW29Wj6UHv+NWkCSqrDLQ1JgAAcOlMVcOZOyfK5Q6wxrEhubqx41d2hwUAF40JSADqRN9m+zWk5Q7v+M09o1VYHmJrTAAA4NK43A69vHOid5wQka7x7dbaGhMAAADQUDkc0owec+SQyxqnFcfqs0NX2R0WAAC4ROsyumtzZhfv+N7uCxQaWG5rTABQG0xAAlBnTJnoQEeFtZ1XFqn39420OyQAAHAJlh7pp315bbzj+xPnKdDpuRkCAAAAwPc6RadqdMIG7/iDfSOUXRJpa0wAAKD2yl0BeiVpgnfcvUmyhrXeamtMAFBbTEACUGdahWfrGx2/9o7nHBqio4XNbI0JAADUTlFFiN7YPdY7HhSXpP5xe22NCQAAAGgM7uy6WOGBJdZ2SWWI3tgzxu6QAABALc05NFSpRSfvlVnVDh22hgQAtcYEJAB16qZOy9QkJN/arnAH1pjVDQAALh9mpXVOWZS1bSoc3pc4z+6QAAAAgEYhJqRQt3Ze6h1/cWSA9ubG2xoTAAC4eDmlEXpv77Xe8XVtNqhLzFFbYwKAS8EEJAB1KiywTHd3W+gdr8/oro0ZJ/vaAgCA+i+1qKk+O3iVdzyp/SrFR2TZGhMAAADQmExsv1qtw497xy/tmCy329aQAADARXprz2gVV4Za26EBpbqr6yK7QwKAS8IEJAB17tr4zeoSk+Idz0yaqAoX/xwBAHC5eDVpvFXJ0IgJLtAtnb+0OyQAAACgUQlyVmp6tSqku3Pb6qtjfW2NCQAAXLj9ua21OGWAd2zya01DC2yNCQAuFXf8AdQ5p8OtGYlzveMjhXGal3ylrTEBAIALsyWzk9ak9/SO7+y2SBFBpbbGBAAAADRGA+J264rme7zj13aNVUlFkK0xAQCA8zNVC19OmiT3iVv1rcIzNaXDSrvDAoBLxgQkALbo3vSwRrTe7B2/u/c65ZWF2xoTAAA4t0qXUzN3TvSOO0Uf1XVtNtoaEwAAANBYORzS9MS5cjoqrXFWaYxmHxhud1gAAOA8vk7tpZ3Z7b3j+7rPt6obAsDljglIAGxzd/eFCgkos7YLK8L09p5RdocEAADOYWHKQCUXtPSOzc2OAIfb1pgAAACAxiwh8rgmtlvjHX9y4BqlFzWxNSYAAHB2pZVBmrVrvHfcp9k+DW6RZGtMAOArTEACYJtmoXm6qdNX3vHCw4N0MP/kTU0AAFB/5JeF6a09o73ja1ptVc/YQ7bGBAAAAEC6rcsXigoqtLbLXEGatXuc3SEBAICz+PjANTpe4pks7JRLMxLnWlUNAaAhYAISAFtN7bBCcaHZ1rZLnrYupvctAACoX0y71IJyT7vUYGe57um+wO6QAAAAAEiKDCrRHV2XeMcrU3tre1YHW2MCAACnO14crdn7h3nH49qtVbuodFtjAgBfYgISAFuFBFTo3sSTNzC3ZXXS6rQetsYEAABqSs6P07zDg73jGzouV1xYrq0xAQAAADhpbMJ6tYtM9Y5f3jlRlW7KKQAAUJ+8tnucylzB1nZkUJHu6HJyAjEANARMQAJgu6tablfPpge941d3TVBZZaCtMQEAAA9TmfCVpIlyuQOscbPQXN3QabndYQEAAACoJsDp0owec73jg/mttThlgK0xAQCAk5Ky22n5sb7e8e1dligquNjWmADA15iABMB2prft9B5z5JDLGqcXN9VnB6+yOywAACBpXUZ3bc7s4h3f022BQgLKbY0JAAAAwOn6NDugIS13eMdv7RmtwvJQW2MCAACSy+2wqhNWSYhM1/i262yNCQD8gQlIAOqFTtGpGp2wwTv+YP8IZZVE2RoTAACNXbkrQK8kTfCOuzdJ1rDWW22NCQAAAMDZ3dt9vgIdFdZ2Xlmk3tt3rd0hAQDQ6C09coX25bXxjqcnzrWqFwJAQ8MEJAD1xp1dFys8sMTaLqkM0Ru7x9gdEgAAjdrnh4YqtaiZtW0qFX6zx+dW5UIAAAAA9VOr8Gx9o+PX3vGcQ0N1pMBzTg8AAOpeUUXN+12DW+zUFc332RoTAPgLE5AAnFdpmXTjr6S/vuPf14kJKdStnZd6x0uP9tfunAT/vigAADij7NJIvb/35Grp69psVOeYY359zdlfSSO+L6Vl+fVlAAAAAFt8tlIa9qh0JMO/r3NTp2VqGpJnbVe6A/TKrpMtXwAAQN36YN8I5ZR5On6YKoX3dZ/v19crLpWm/kJ69kO/vgwAnBETkACck9stPfKs9NEK6ScvSB8t9+/rTWy/WvHhx71j0xPX9MYFAAB1683do1VcGWpthwWU6M5ui/36elv2SXf/Ufpqq3Trk1JZuV9fDgAAAKhTOw9J056SVmyTbnnSs+DPX8ICy3R3t4Xe8YaMbtqQ0dV/LwgAAM7oWGGsPjt4lXc8pcNKtY7I8us9vQf/Jn22SvrBv6Q5q/z2UgBwRkxAAnBO//1MenGO9NJPpJuGS/f+yZMw8ZcgZ6Xu7zHXO96T21bLjvb13wsCAIDT7MttrS+O9PeOb+nypZqGFPjt9bLypBt/LXVtIy34s7Rqp/Sj//jt5QAAAIA6lVsg3fArqV0LafFfpY17pO/907+vOSJ+i7rGpHjHM5MmqMLF7QAAAOrSq7vGq8IdaG03Cc7XzZ2X+fX1/jlbem2h9NrPpclDpDt/L+094teXBIAauOIAcFZmRZZJhjx8vTRjovTKz6S2cZ6EiUmc+MvAuD3q33y3d/zG7rEqrgj23wsCAIAaK6Ve3jlJ7hOXCq3CMzW5vf+WS1VWelaC5xRKs38rjR0kPfuI9NxH0ivz/PayAAAAQJ1wuaS7/yClZUsf/U4aNUD6zw+k/30uvfCp/17X6XBrRo853vHRwjjNSx7ivxcEAAA1bD7eWWvTe3jHd3ZbpPDAUr+93tJN0mP/lh67Vbp7rPT6L6SWTT339PKL/PayAFADE5AAnNHR49ItT0hDe0h/f9izLyrckygxCROTODEJFH+5P3GeAhyV1nZWabRm7x/uvxcDAABeK1J7KymnfY2/yaZCob88/pK0aIP0zq+kjq09+x6cKn1rkvTQ36W1SX57aQAAAMDvnpwlfb5aevNxqWuCZ9/0iZ4Ff2bhn1kA6C/dmqRoRPwm7/idvSOVWxbuvxcEAACWSpdTLydN9I47Rx/RdW1O/k32teQ06dYnpWv7SU8/4NkXE+m5p3coTZr+Z8+iQwDwNyYgATiN6UF/8xNSgFN67zdSkKc6pMUkSkzCxCROTALFXxIij2tiu9Xe8ScHr1Z6URP/vSAAAFBpZZBm7RrvHfdrtleD4nb57fXeXSo9/bb09LelMQNP7nc4pOcela7o4mnNlpbltxAAAAAAv/loufTbWdLvpkuThtZ87G/flYb08CwANAsB/eXubgsVElBmbRdVhOntPaP892IAAMAy//AgpRS08I5n9JhrVSf0h+JST/4sIlR659dSYMDJx3q097Rj+2CZ9Mc3/fLyAFADE5AA1GBmQD/yrKcX/YdPSi1jTz/GJExM4sQkUEwixV9u7bJU0UGF1na5K8jqlQsAAPzno/3DlFkSY207HZW6P3GuNRnIH7bs86y+mjZK+tFtpz8eEix98IRZMeZZwVVW7p84AAAAAH/YeUi654/STcOlX9x1+uPBQdL7v/EsADQLAc2CQH9oFpqvmzot844XHR6kg3kt/fNiAABA+WVhemfvyQm/w1pvUWLTZL/d03vwb9LOZGn2b6XmnrReDTcMk351j/TLl6U5q/wSBgB4MQEJQA3//Ux6cY6nF/2VJ1vTnsYkTkwC5d4/eRIq/hAZVKJpXRd7x6vSemlbZgf/vBgAAI1cRnGMPjpwjXc8oe1atYvK8MtrZeV5VmZ1bSO9+GNPxaMzaRMnvf+EtGqn9KP/+CUUAAAAwOdyC6QbfiW1ayG98rOzn++ahX9mAaBZCGjasfnL1A5fq0VYtrXtkmkJM4k2LAAA+Mnbe0epoNzT8jTYWaZ7ui3w22v9c7b02kJPfq1/17Mf98R90uQh0p2/l/Ye8Vs4AMAEJAAnmZ7zJtlhetCbXvTnYhInJoHSNs6TUDGJFX8Y3Xa92kelescmQVLp9lMpBgAAGrHXdo1VmSvY2o4MKtJtXb7wy+tUVkrTnpJyCj0rs8JDz338Nb2lZx+RnvtIemWeX0ICAAAAfMblku7+g5SWLX30OynKc//xrMwCQLMQ8H+fSy986p+YQgIqdG/3+d7x9qyOWp12jpWHAACgVpLzW2hB8mDv+MZOy9U8LM8vr7V0k/TYv6XHbpXuHH3uY51O6fVfSC2beu7p5Rf5JSQAYAISAA/Ta970nB/aQ/r7wxf2NSaBYhIpJqFiEismweJrAQ63ZiTOsbb3b1yrj95fo4dfbGOVidx3xHMTEwAAXDyz4jklQ1q8QfrVm7H69xsp2rZsofXY7V2WKCq42C+v+/hL0qIN0ju/kjq2vrCveXCq9K1J0kN/l9Ym+SUsAAAAwCeenCV9vlp683Gpa8KFfY1ZCGgWBJqFgWaBoD8MbblDvWIPqDg/T+vmzNbD/4nSzHlOrdnpv4WFAAA0BkUl0qa90ttLpPuei9eaOR8r+9gRNQ/N0fUdV/jlNZPTpFuflK7tJz39wIV9TUyk557eoTRp+p89uUEA8LVAnz8jgMuO6TFves2bnvPv/UYKuoh/GUwixSRUpjzuSbA8eb/v4+vd7KCGttyuTZnpOrB5nV7YLL3wlucxE2vHeKd6tnMpsa3UvdpHbLTvYwEA4HJTUCztPiztqvaxI9mpPSluFZdWZRqyTLNTNU9or7aRaRrfdp1fYnl3qfT029JfHpTGDLzwrzOVF597VNp6wNO6bf3znnYVAAAAQH3y0XLpt7Okp2ZIk4Ze3Nf+7bvS5v2eBYLmfDe+uW9jM+fUZpHfugPTdGTXNiWXl2vGVycfb97EqcS2bvVo566RXzOLBgIDfBsLAACXG7MA/3B6zfzazsMOJSU7dPR49dX5m6z/tuvVT/d2X6GQgHKfx1Jc6smPRYRK7/z64v5O92gvvfZzz9f/8U3pF3f5PDwAjRwTkABYq6tMr/ll/6jdzTyTUPnddOmXL0sDukrXX+P7GE2Z6NXXPaTMlEMqLy3R0BumqbSoQPlZmSrIOq6VhzO0aEuGCvJOLtlqGn3mxEnn+IubZAUAQH1nKgImn5oESXYo6bBDqZknkyDhEWGKiG2uiKYt1PmqZops2lyRTWO1acGnys86rkFTb9H0xNkKcPq+rOHW/Z7VVdNGST+67eK/PiRY+uAJadB3PCu8Fj/D33MAAADUHzsPSff+SbppeO1u5gUHSe//Rhr4kGeh4NK/ec6BfalDdJqu771PxyfcoLWfvqeew0erZceuVm7NXA8czDquHevSlb8gS+XlFdbXmJuaHVqfWPzXrubiv+Yxvo0PAAC75RVKu1OkpOSaC/n2HXGrpMyzkC8gwKmopk0U3rSFIjs314DBzRUV29yqMrjm0/fUfchwXXtFgK5u5fuyhqZqkakQvjNZWvFs7f4W3zBM+tU9nnt6/btIE4f4PEwAjRgpe6CRM73lTY/5l3/i6TlfWyaxsmGPdM8fpTX/lpWQ8KWW4Tm6qetaFdwwTUtmPa/tXy3S1TffZSVJqqsoK1NBdqaVNDHJk8NZx7V7Y7ryF2eqrMyTODGVntq1OnPVpBZNPSvCAACoj3IKak4yMskQkwTZf9StsvITSZBAp6JjmyqsSUvFdG2uNkNMEqSZImObKzg07LTn3LZ0gTKPHNaw2+/TtZ2Pql/z/T6POyvP01++axvpxR/X/m9tmzjp/Sek6x7z9Lj/56O+jhQAAAC4eKaFmTnfbRsnvfKz2p/vmoWBHz4pjfiBZ8Hgf3/k60ilO7ou1vJj31f20au0c8UXat62g9r27FvjGLfbpeL8fO/EJPN59dEMfbEjQwW5+d6WLTGRTiufZnJspy7+8/XkKQAAfLmQ72BqtRxbyomFfMkOpWefXJQXERluLeQzE426dvDk1sxEo/CYJnI6a5YdKsrL0coP31SL9p3Ua9hIzUj8n1/uNf1ztjRrgfTG41L/mrfHLsoT93kKE9z5e2ntf6QubXwZJYDGjAlIQCNmesqbZIbpMW96zV8KcyJlEixDH5au/6VnEpLpJ+tLN3b6Sl8c6a/BU27R1++/rqSvv1SPa66rcUxgcLCatGxtfVTndrtVUlCVOPFUTVqfnqGvdqUrP8ckTjyZk+gIh7omOE5LnJhWc6EkTgAAdcAsND5w7MzVjDJzTyZBIqMjFN40ThFN45TYufnJJEh0jBxO5wW91pFd27V7zXL1GTlerdu31X3dn/NLUmfaU1JOobTor1J46KU93zW9pWcfkb7zD2lgN+n+Cb6KFAAAAKhdS5a7/yClZXtu4EWFX9rzmQWC//mBNOMvnvPdB6fKp2KCi3R7l6UqKB2nnLSjWv3xOxp133cUFhnlPcbhcFrXFeajRYfONb6+sry8xuK/Y1mZ2rclXW8tPa7SUk+bGadDatvyzFWTWsWy+A8AUDfMgrgaC/lOVDM6cNSt8grPPaHAwABFx8YqrGkLNU1srnaxVTm2ZgoKubAkVmVFuVZ99LYCg4I1eOqtGt1uszrFHPP597N0k2dB3mO3SneOvrTnMqnD138hXfldzyTqlc9d+jkMABhMQAIaqaPHPT3lh/aQ/v6wb57TnJx89Dtp8Hc8iZePn/KcxPhKWGCZ7uq2UP8svVk9hl2nncu/UNNWbdSqc7fzfq3D4VBYVLT1Ede+02knh4U52d7ESUbWcc3dka73lmeqxDTTPTHBqk3cmRMnbZqTOAEAXBwz7/V47pmrGR1MdVmTdoyg4EBPEqRJS8X1aqZO1ZIggcEhlxRDXmaG1s+ZrTbde6vL4Ks1pcNytY7Ikq89/pK0aIM0/2mpY835wbVmbsKs3+0pOd2rgzQ40TfPCwAAAFysJ2dJn6+WPvu9ZwGbL5iFguZ81ywc7N3RMwnflya0W60Fhwfpym/cZlUaX/PJOxp++3Q5A2pWcziTgKAgxbRoZX1UZxb3lRYWnMiveSYobczM0Nd7zeK/PLlcnhu9keEOdW1zYvFftRybqZZ6qYsVAACNT1m5tP+UhXw7kh3addih7LxqC/liIq1FfBHN4tSz68mFfGHR0dbE20uxedHnystI17V3fUtNIp26s+si+VpymnTrk9K1/aSnH/DNc5oiAuaenpmENP3P0nu/4V4XgEvHBCSgESot8/SSN63IzAlFkA//JTCJljcfl6Y87knAPHm/fGpE/BbNS75S7qtGKPvYEa397H1dd+9DimwaW+vnDAgMUnTzFtbHqYmTsuIi78Qk83lr1nGtOZCuvOwcb+IkPNSh53/g1j3jLvnbAwA0Aqt2SJN/4VBWnufviLmwj4qJsso5R7SKU++eJ1umhUWaJIjvr/zLS0u1+qO3FBYdo4ETr1fT0ALd0vlLn7/Ou0ulp9+W/vKgNGag757XvCXPPSptPSDd+Gtp/fOedhUAAABAXfpoufTbWdJTM6RJQ3373H/7rrR5v2cBoTnfjW/uu+cOdLo0PXGuniq8V0Ouv13L3pqprUvnq9/oSbV+TnPdEhoZZX3EtetY4zFXZYUKcrK9+bWsrONasCtdH648ruIiz+I/o3cnhza94NYFzIMCAEC3/dahD5e5VXlinlFwcJCimsUqvElLterTTF1PLOSLbGoW8vmnxcWBzet1cMsGDZh4g5q2itctXearSUihT1/DrJM3+a+IUOmdX0uBPvw72aO99NrPPc//xzelX9zlu+cG0DgxAQlohMzqKdPbddk//HOzziRcfjdd+uXL0oCu0vXX+O65nQ63ZvSYq5+vekCDJt+kL2a9oDUfv6URd33bKm/pSyZxEhIeYX00T2hf4zFXZaUKc7OVfnCfNbv9xFwkAADOKzjQlIB2q8vAq9S+7wBFNom1VhHXFTPBdsPcD1Wcn6/r7nnQqqR0V9fPrUqDvrR1v2f11LRR0o9uk8+FBEsfPCEN+o5nBdjiZ3w7qRoAAAA4l52HpHv/JN003D8364KDpPd/Iw18yLOQcOnfPOfAvtI/bq8GxO3WBnVT31ETrPxWbOsEte3ZV77mDAhUdLM46+NUpcVF1sSkzYvnKK8wVQ4HSTYAwIUpKnUrKDRcV0+9zZpoZCbB+mMh39lkHTuizYs+U8d+g9ShzwC1Dj+uye1X+byKuqkAvjNZWvGs1DxGPnfDMOlX93ju6fXvIk0c4vvXANB4+LA5EoDLwQufSv/73NNL3vSU9xeTeDEJmHv+6Gkp40vdmqTo2vhNCg4N09Abpyk/O0ubFnxi3VCtK6YktSnPWVJYYJWOvmVEnb00AOAyN6Cb1LezU0V5WYqJa1mnk4+MPWuW68jundZE3qhmzdU5+ohGttns09fIyvP0jzdtFF78sf/KN7eJk95/Qlq1U3rs3/55DQAAAOBUuQWe8922cdIrP/Pf+a5ZOPjhk56FhGZBoa/d332uAhyV6tT/SrXr1U8b53+k3Iw01aWQsHCrKnlhZroemOySkzsWAIAL9MAkqaSoSEGhYQqL8k8V8bMpLSrU2o/fVEyL1up7ooLgfYnzFeSs9Onr/HO2NGuBJ7/Wv6v85on7pMlDpDt/L+094r/XAdDwcToPNCIrtnmSFQ9f7+kl70/mPM8kYEwi5vpfehIzvnRXt4UKDSi1btwOGH+9krdv0f6Na1SXXK5KpWxfp7tGuxURVqcvDQC4zD04xaXUfbtVXJBfp6+bfmifti9bpG5Dhyu+q2cm8owec6wKg75SWSlNe0rKKZRm/9a0KpVfXdNbevYR6bmPpFfm+fe1AAAAAJdLuvsPUlq29NHvpKhw/76eWUBoFhKaBYVmYaEvtYnM1KT2q6wbtleMm2q1qFnz0RsqKylWXTq8c6sqKyp0//g6fVkAwGXOdONo0dSpg1vW1/m9oXWfvqvKikoNueF2BQQGql+zvRoUt8unr7N0k2fB3WO3SneOll+ZCcCv/0Jq0cQzyTq/yL+vB6DhYgIS0EgcPe7pGT+0h/T3h+vmNU0CxiRiTELGJGZMgsZXmoXm66ZOX1nbpjR054FDtHXJHGUe8XG5pXNIO7BXhXmF+vbkOntJAEADYZIGQQFS8raNdfaaRXk5Wv/pO2rVvr16DfNkLYa13qLEpod9+jqPvyQt2iC98yupY2vViQenSt+a5ClJvTapbl4TAAAAjdOTs6TPV0tv/VLqmlA3r2kWEpoFhWZhoVlg6Eu3dv5S0UGFCgwK1pAbpqm8pEjrP39fbrcPE3nncXjrWk0Y4qlwCgDAhQoMkL450aUjOzepsry8zl53x1eLlZ58UIOn3qbwqBg5HZWa3mOuTysiJqdJtz4pjbxCevoB1YmYSM89veR0afqfPe3fAOBiMQEJaARKyzy94gOc0nu/kYIC6+61TSLmzcc9iZnfzvLtc0/t8LVahGVb231GTlB82xZa98lbKqmjahLJW9apTyenBvix7CUAoGFqEindOtJtJdrrooVoZUW51n78lkJDHBow5XY5nE6FBJTp3u4LfPo67y6Vnn5b+vMD0piBqjMmwfPco9IVXaQbfy2lZdXdawOoH7KysvTLX/5SV199tQYMGKB77rlHmzZtsjssAEAD8/EKT37rqRnSxCF1+9pmQaFZWGgWGJqFhr4SEVSiad0WebabxGrA5NuUun+PklYuU13ISTumzGOpeoAFfgCAWpgxUSotKdOR3Tvq5PXM6+xevVz9Ro5WXPtO1r4JbdeqbWSGz16juFS66TdSRKj09q88E63qSo/20qz/J32wTPrTW3X3ugAaTn6NCUhAI2BWR5le8aZnvOkdb0cZzN9N96wQM4kaXwkOqNB93T29VpwBAeoz+V4FO8u09tO35TL9X/zITHI6tm+31UKnDtsKAwAakG9PkvKyc3X88EG/v9bmRXOUl5GqAVPvUUh4hLXvxo5fqVlons9eY+t+z+qoaaM8paHrWkiw9METUqVLuu23UnlF3ccAwB4FBQW66667NHfuXE2bNk3f//73lZaWpvvuu0+7d++2OzwAQAORlCzd80fppuHSz++s+9c3CwrNwkKzwNAsNDQLDn1ldMIGdYg6Zm236tRNQ0YOVtKKJUrd7/+/owe3blBcU6cm1fGELgBAw9CljXRtP4eSt671+2vlZ2Zo45wP1LdfgjoOGm7tiwwq0m1dvvDZa5h1iqbC945D0uzfSs1jVOduGCb96h5PlfO5q+v+9QFc3vk1JiABDZzpDW96xJte8aZnvF1+cZcnQWMSNSZh4ytDWu5U79j91nZYZJRG3Hijso4e1ralvq3ocKpD2zdZrXP83XcXANBwDe8rdYo3ferX+fV1Dm5Zb31MvOEqxbTy9IhoHpqjb3T03azgrDxPf/iubaQXf+ypSGQH07Lh/SeklTukx/5tTwwA6t7//vc/HThwQM8//7y+973vWYmRN954w3rsxRdftDs8AEADkFsgXf9LqW2c9MrP7DvfNQsLzQJDs9DQLDj0lQCHWzN6zPWOWw+arEF9YrTh8/dUmOO/8qKmXc6RHRv1zQmuOq3YDgBoWB6Y4lZ6crLys3xYIvAU5aWlWvPRG4qPc6j9yPvkOHEyMK3rYkUFF/vsdf45W5q1wJNf629j940n7pMmD5Hu/L2094h9cQC4/PJrTEACGjDTE94kI0yPeNMr3k7mXMwkaEyixiRsTOLGV89reus65elLH9Cit+67tYv2rl+pwzu2yB9MqxzTMse0zmka5ZeXAAA0AuZvmKmkd2z3dpWV+C5RUV32sSPasuhTXT+qiQI7TfDuN63XQgJ8UyLIFB2c9pSUU+hZmRUeKltd01t69hHpuY+kVzyFEgE0YObcfPbs2Ro5cqQGDx7s3R8XF6ef/vSnGjRokK3xAQAufy6XdPcfpLRs6aPfSVHh9sZjFhiahYZmwaFZeOgrvWIP6qpW26xth8OpzmPuV4to08r5TVWU+7Dc0iltbEzbnG9O8svTAwAaCbP4PSbSoUNbN/jtunPD3A9VUZSt6265SUEhIdb+dpFpGpuw3mevs3STZ0GdqSxu9+J3p1N6/RdSiyaeRYf5RfbGA+Dyya81mAlIycnJ6tu3r1avPnMtuDfffFMTJkywjpk6dao+//zzSzoOqO9ML3jTE970hjc94usDk6AxiRqTsDGJG5PA8YUOUWka0/Zk9YiiDrfr5tFR2jT/I+VmpMnXTKucvKwcq3UOAACX4t5x5uTe5ZdJs6VFhVr7yVvq2yVELa+627u/R9ODuvrEjQVfMOWYF22Q3vmV1LG16oUHp0rfmuQpWb02ye5oAPhTSkqKVQ7a9KavSpgUFhZa26Zs9G233WZzhMDlhfwacLonZ0mfr5be+qXU1VNQ1HZmoaFZcGgWHpoFiL5yb7cFCnKWW9tlgc30zW9eo6Ls49q88FPrb6yvJW9dZ7XNMe1zAACordBg6Z6xbqVsXy+XWSnnY3vWrNCR3Tv10we6KTekp3e/WRwf4PTNja7kNOnWJ6WRV0hPP6B6ISbSc08vOV2a/mdPezgADVOKD/NrDaKwaV5enh5++GGVlpae8fGXXnpJf/7zn63Ex/3336+FCxfqscces8rjTZo06aKPA+o70wPe9II3PeFNb/j6VMLYJGrefFya8rj021nSE/f75nmndV2iFcf6qG1CN13Tt6eyrh6sFbu+p9Ufva2R9zyg4NAw37Vf27LeapkzvK+PZlABABqtVrHSlKukZVvWqFP/K73lmy+V2+XS2k/fl8vl1n0/e07duvfV1r0HtHrbDs3oMcdnLSPeXSo9/bb014ekMQNVb5jv77lHpa0HpBt/La1/3tOuAoBv3X333Tp27JhPnqt169Z6/fXXL/rrDh06ZH1u1qyZnn76ab377rtWz/p27drp5z//uUaNGuWT+IDGgPwacLqPV3jyV7//pjRxiOoVs+Bwy37PAkRzvhvf/NKfs0V4jq7vuEKfJo/VpGuuVGz0eE3Le00zn3tOTVq3Vef+V8pXCrIylZ58SH+/x2dPCQBoxMyC8edmFyt1/27Fd+3hs+dNP7Rf25ct1JipU9X/pp+pV4Vbc75eq25ha9S32X6fvEZxqXTTb6SIUOntX0mBAao3erSXZv0/T37tT29JP7/T7oiAhuduH+bXaptj82V+rR5NS6idffv26ZFHHtH+/fvPmjx57rnnNGXKFD3zzDPWPjND65577rGSIePHj1dAQMAFHwdcDszqJ9MLftk/6ufNtklDpd9Nl375sqeH7fXXXPpzRgcX6btjIrWzIF4zP1tg3XBN6Hel1n3+gZK+Xqq+o3zTg860yDm6e7t+P8Pls5u3AIDG7YFJ0sfLM5STelRNW/tm6e+h7ZuUfmiful05TEt3pOjLnUc0tE8PPTq1pzqVp/rkNbbu96x+mjbKUxq6vgkJlj54Qhr0Hem230qL/lq/JmUDDYFJjhxLOazWl3ipfOwSFqiaa3nj//7v/xQYGKjHH39cTqfTmgBhJlKYz1WrtwCcHfk14HRJydI9f/S0damPN9vMua1ZeDjwIc9CxKV/85wDX6obu25Rm4F/1juLVyo1M1sVgU0UE9dSWxbPVUL3XgoJj/BF+Dq4dYPVLuem4ZRTAABcur6dpQHdHDq0ZZ1PJyCtnztbgcEhCkrorlc+X6LI8DDdPeE69S16wyfPb6oKmQreOw5JK56Vmseo3rlhmPSrezxV0K/oXP8mZQOXu2M+yq9dSo7Nl/m1yzoFb/rQ/epXv1JUVJRuvfVWvffee6cds2TJEhUVFWnatGnefebNuvPOO63VVxs3brR61l3ocUB9Z3q/mx7wL//E0xP+QphWaIfTpb1HpT0p0p4j0t4j0oFU6Zd3S7eNrHn8w/8nrUmSuraRVSLZfDaVjcx2s2hP1YHz+cVd0oY9nkTOmn9Lie10SSoihyo1p6c+W+4pE79h3sc6uGW9mrRsrfa9+8tXTIsct7vSapkDAIAvjB8stWrmtP5u+WoCUsuOXdWqUzftXrNcWcdSNGjyzVq1dacC3O3Vv+8Disr67yU9f1aep/+7OQd48ccX9rffyCv0nGNUnWtUfQ4LkRb8uebzrN/tmeDUprnUJf7EucaJzx1aXdhkojZx0vtPSNc9Jj32b+mfj9b+ewZwZiY5sriFp1VLbY1OD6r115aVlXkTJfPnz1dMjCdba1ZmjR071poAwQQk4NzIrwGnyy2Qrv+l1DZOeuVnF36+m190yvluiiffZioZLPqLVH3+3ZZ9nrxY62bVzndP5NnM+W7wBfx5NAsPP3xSGvEDz4LE//5Ilywz/p965d0vlVtQqOzUo/r6/ddUXlqq7kOGKTgs/NJfwOQiKyutNjkzxrqttjkAAPjCg1Pceujve1SUn6vwKN/M5OlxzXXa9sV8LXzpn+p17VirGuCLH8/X7+/9g1qmTpbcFZf0/P+cLc1aIL3xuGfB/oUwXeYOZ5w816g67ziYJv32fs+Eoeq+/Vdp876a5xpVebZmF/g2PXGfp/DBnb+X1v7H8zwA6ld+7VJybL7Mr13WE5B27dqlyZMn6yc/+YmWLVt2xgTJtm2eJti9evWqsb9nz57ex03i40KPA+oz0/PdJBtMD3jTC/5CJhmZz/uPSqUn/k0zbds6tm+pLnFpOpgqrU06fQLSko2e50vJitDSbQE6lu6ZFWk0iTx5AnOuyUnms0ngDH3Yk9Axk5BMP9naSot6RG/N3mFtl5eWWDdx49p30rDb7pXD4ZQvmH6XyVvXWq1yTMscAAB8wdyE+PYkl55+d7P6XDdBgcGXnoEPi4zS1bfcrb3rvtaWJfN0/PBBtevVTyu2HdLkAVPUXbWfgGSSHNOeknIKPVWFwkMvbJKR+ZyeffK42JgQdW0fpcry49Y5TKWrZonp7Qc9VZbat5CW7Git/31+rMb5irkpU31S0tkmJ13TW3r2Eek7/5AGdpPun1Drbx1APRQe7rkROm7cOG9yxIiOjraSJGZihelZHxHhm2oNQENEfg2oyeS87v6DlJbtucEWFX5hk4zMZ/M1VZpGB6tr+xipPEPLt0olZVJE2MnHdyZ7WqglxElLk+L10tyj1jFV57vtW55yvnuWyUlmAeJ/fiDN+IvnfPfBqbX/3t1hiVp5INiafGQcTz6g0qJCjfvW9xUZ20y+YtrjFBUUWe1yAADwlTuuk77/L4eSt25U4tWn3NiqpQ59Bii+S6KWzHpee9d+bU1Aqqis1DvLj+ixQbcoLPvtWj/30k2eBXOmsvidoy9skpF1T++YVHYiR2ZyaR3bt1KX5qnWvb51u06fgLR4o6wJv8mZkVqyxaHUjHzvY02jTj/XONPkJKdTev0X0pXf9SxKXPnc6edIAC5fvsyvXdYTkMzKqeDz3KBJT0+33qSwsGpXd5Li4uKsz0ePHr2o44D66uhxT8/3Tq1lTZB5/pPzTDJq7TmZGDNA6jL15IShDt2HK6jVVGnfT5V439lfz7zGM98plPrOU8HqCdp36sSmFGnpZulYps45Oen/TZO+9YwnsfPxU56TmIsW2ER7M6Otkz4jKCRU8d16KutoiirLK3xyI9fISTum7LR0PfB9nzwdAABeMyZKT71eriO7tqt9n/4+mzh7dPdORTWLU0Jib+/+L3cWqWuHIXLme6oGXixTbnnBOunpBzwVEd9cfI5JRtEn/+6PHXgygWHGsdculDaP06tzpfufPvvrffCkFBw/TK7Iq5Wy6oen3egxE6NN9cdTJyedmjQxr29KWvfqIA1OrNW3DqAeatmypfU5Nvb0FQJmn/m30FRjYQIScHbk14CanpwlfbZK+v03pY17pfe+PMcko6iT57uj+9e8eRd77WJpywS9vdAzgf9s3v6VFNV2oFxNf60jXz9U47XMea/Jr7001zOBqfrkpFMX/k0e6lmY2LujZxJ+bWTEfFefzNvnHZvFfZJDqQf2qIsPJyCZ9jimTU7fzrRfAwD4TnSEmYTk1ger1qn7VSN8tjg9Jz1VRbk5GjzlFu++jXtTlHb1jeqg2k1ASk6Tbn3S0x3E5Kz+8/F5JhmZe3rx0rhBNScMtU+cqKBmV0sHf6WO52gZe8M10h++VSD1W6D8leNOv6d3xJNjS83SOScnmba0D/zNU7XctIK90CqRABpPfq3eTUDKyMg47+yrqm/sfMkRw8zECg09ZVm25N1XXFx8UccB9ZX5g29ODMzHxP93nklG52pb0nyUlL/J2jTP8dd3pfeX1TwkJcOkHk4oz1RkmNSvs+fjVAXFnpOXU1eGnTo5ySR2/vuZ9NA3avHNB8dr/9GiGrv6jBynhS89p92rv1LP4adMHa8lU1XJtMgZP9jlk+cDAKCK+ds8qr9DW7au9dkEJDOZ6XjKIV1z671yVuv1sPdovsq6dVOoLn4Cklm5/fSJvMrP/nsBk4yiz/FkFXmSq8SaoGyYJEn1CkhmZblX4TY5W96rdi1lfYweUPOprMqMGTXPNaoSJ9UnJxkmuXPgTRIkQEPRtWtXKzewd+/e0x5LSUlRSEjIGZMnQENHfg2oHVMJ/LezTk68P+8ko3Od71YWSJWFijmRo+90txQeUjNnZljnpYXb5WzzsNq2kPUx6gznu0eO15wIZc53TX7txTk1z3dve1JKfrtmu7cLVeSKUWFxjnfcpGVrdeg3UDuXL1HbHn0UEn7pE3qL8/OUun+PnvjhJT8VAACnMdX1XpmXp4xDB9SiwxluWl0kl6tSW5bMVWybtkro0ce73+2W8stq8cf2hG/+VTqe6/kw9/TOOcmo5Tnu6bUYLeWu8Mb0+zekNxbXPMR0R/HmwcozrcpFV3TxfJyqqtLjqVXNT52c9MEy8z6f3o0FwOXJl/m1ejcBadiwU+rCneKhhx7SD3944VcnZjaW4xx3F6oeu9DjgPrq25M9JyUXNMnoXFxFktOTDVn6d+n/Pjj9EPO/w11jqgbnnkFuJied7USm+uQkM5t7RF/VjrtcwYE144hoEquug6/W7rUr1KHvQAUEBSlp5ZeKio1Tp/6DL/olKsrKdHTnJv30NletEjgAAJzPA1Pcuv23KcrLzFB0M0+VgIthkvgpO7eo+1XXWn3uty1doFadu6tlx5p/hAMDA+Rwl9YqRnOe8adve9pEVJ1znPOmy7k4PH9Qr7/G0+d+x8HTDzEJFqu9hMP85+wTgE0FxbNNTjIFEq2bNScmJpkJ1pzaAw2HmURhSkEvXrxYe/bssRImxuHDh7VkyRKNGTNGAZzAoxEivwbUjrnxZ8532zT33PQ77ySjc/LkqiYO8VQ5Mu2FT2Vex+TO5AyS3JVnfyanLmhykjnnNTcfa1Vh3BtxTb2Gj9aRpG3aueIL9RszWcf2Junwji26YuyUWk1IOrRto0KCHVaFCgAAfO2qXlK3tk4d3LKuVhOQzISjDfM+UWzrNtYk3IObNygvI03X3fPgaeeyl1Jf6aGp0jeuusBJRudSWSw5PZP9V/1Lem726YeYsO8dVzU69/WxmZzUv6vn41yTk8w9vatrdl0GcBkL92F+rd5NQHrqqXPUo5XUo0ePi36zSkpKTttfta9qtdeFHnexskod+tHmk3+C+sa4FVHv3nU0CO2l+PaS6dC+2Xyk1u5pgjNf19Rhf5UjdabimkhPffMcBzuCVBkcr9kpl5BANOdFnaVOnaUdknakXPxThAceVO8e4frwlP3dhw7Xoa0btXL2WyrKzVZ5aYnVnq1d734KDLq4tmxHdm9XWVm51SIHAAB/uP5qs7raoUNb1qvPdRMu+ut3fLXIahd6eOc2uV2emxfDbju9n+qInrHafHiFkrNr9/e783DP52TzkSfJfNTC1L7hCglpK5UePq3P/anccddrza73dPhSzjlaSM1beDbfr8X5BnA+5mbfqixHjWtB1I2f/OQnWrNmje69917rIygoSLNmzbIqrpjWUkBj1NDza02D3Eqs9aQQ4MLOdw+bj0s4353cJ0hhoZ2kkv26/TpZH2fjbv4NbdjzkQ5c4vlusxPnux8cqd1TDI7ZqvYtO+pQ2smy5WaSUeLVI7V16XzrBqypslpVHan70BEX9fxut0uHt661Jh+ZNjkAAPiamWzz4BSXfvrfnSotKrzoybJp+/coedtG62PXqmVW5T5Trbxp6zY1jgsNDlZkULber+3f7k5S605SgaRNbmlTLe/phWW/rElX/UaO9LfUKvY89/ScoaoMbnVp9/TCJEcXqXMXaaukreTY4AfJRdKR4po5ttjTC+2inubX6t1UmFtvvdWnz9e6dWvl5uaqrKysRklp05O+ej+7Cz3uUm3JJQmN+i5N44LaKTSomVWK8VzcLW7X6gNrtTLT3t/rsIAK/TB4h2Kjo5SVl+/dHxgcoj7Xjde6zz9UxysGqV3v/lr62gs6krT9otvbJG9Za7XG6dCK1VkAAP8ICZbuG+fWC3M3qNeIMXIGXPipevaxI9bkoyu/cZsKso5r9+rl1nNExjarcVyA06merYr1yVdHdaDQ3r/f6Uue0HeG/FCOfee7eHHKFTNK735sZilxLg3gdAkJCXr33Xf1l7/8RS+99JJVgWXQoEH66U9/qrZt29odHmCLhp5fyy53aOW5UxaA7Y4s/LkeHf4jOfY8fJ4jHXI1naA3Px1r+/lu64Mv6JZr3tQzH9b8H6zzgCt1aOsGlRQW6Kqb7rIW6iVvXa9uQ4bJcZ7q6NVlJB9Qfk6e1R4HAAB/uWes9LP/unR4x2Z1GXT1RX3twc3r1LRVvPqNnaoN8z5SWFSMeg2vagly0uQhneVO/53t98eUeUhjRnZWSGCMVJF7zkPdLe/Wl7uX2B8zgAadX6t3E5B8rVevXtabs3PnTvXr18+734yNPn36XNRxQGMw84sn9dDIV+TYdrPkLjvjMe7Qjqps8z19MPMq2a20UmqW9bQeu+FN/fbN9SqrqPA+1rZnX7XummhVPGoWE63Kq/tp55Y1FzUBKT8zQxkpKXpghp++AQAATvjWJOkfH5To2N5datP9wusYH9i8Ti1bxGjkqFHaezTdasN2alloM/z+DQPUOufn1t9Ou+078qWKwp9QeMy1cuR+edbj3F2f1dJdC+s0NgCXH5MIefbZZ+0OA2iwyK8BFy85ba0KQv6kyKbj5MhecNbj3F2e0dd7v1J9UFSWr8ERX+uaXt20YrupAeVhFkdcd+9Dcjqdcjid+sa1V+jn3/+J0g/uP63l87kc2rzeaotzVa+zt1cGAOBSme4eN1wjLdq6Tp0HXnXBbYCL8nKUun+Pfvrz72ufq5lG3//dM35th1bNNLprnjJ2brnERmy+8fpXf9KMq1+RY/utkvvk/bHq3GFdVdnq2/p8nv339AA07Pya/f8q+tm1116rkJAQvfbaa959LpdLb775ptq0aaMrrrjioo4DGoO9KUv0wcbZcvWdK3fMibrTVZwhcre6X5U939Yf3rtF9YFLDhUUZ6p77nf01D0DdEWXhBqPm9Jw1/TrpVtGD9N1g8t1/MgR5WakXfDzH9yywWqJY1rjAADgT706Slf2MG3Y1l3w15gWo0eSNuvmkU5d2aeXJl41SOGhITWO6dg6Tr+5a4gGO/+koOLNyj9zLqLOPfn6GJV0+IPc7X4hmZVa1bjDe8rd6wNtyCrXnNV/si1GAABAfg2orSfeGK2itr+Wu/2vpcAmNR5zh3eXu+c72pIXpo++/q3qg/xyh5pk/FHTByVr+vh+igoP8z4WEBio+LjmmjF1nCJim6pHB6cObl57wc9dWlyko3t2WG1xLvA+MAAAtfbtyVJOxnFlH0u5qHtBYSFSXHywHrppsrq0ja/xeHBQoK6/urt+OjlMLY89pLxy1Qs7DszVJ1sXyG3u6UWfciPLGSp362+rMvF1/e6db9gVIoBGpMFXQGratKkeeOAB/fOf/7RWYA0dOlTz58/X+vXr9fe//10BAQEXdRzQWKzc/oo27f1E35r4X7Xt8Gs5yo97WqAEx2vFvmX6pB5UPqrus6MO3ZywX51Tp+jHg2/TsWtuVF5JgBxyK78yRvPXp+iFD+coImySmjdJ0oFNa3XF2CnnfV5XZYVSdqzXgxPcVmscAAD87cEpbn3rr/tUlJuj8JiaNynO5PCOraosr1B5uyl6c/4Xateqhe4ZN1itI3JV6ZYig91qqa8UnfUTuSoKtChdyq+oHxn/SlXql7OG66re39LUgZ8rqDxVcpdLATHKrgjWi3O/r/RsT8UEAABgH/JrQO39+rURurLXdN0w8DMFVaRJ7lLrfDe3MlT/W/ADpWVuV32xIUca0FTqkPYbTQnrpCG3/UBppZ1VXikFBARqQ0qw3l38lQqKinXV0E565d0kFRfkKywy6rzPfXj7ZtNszmqLAwCAv40ZKCW0cOrA5vWKjT9/6yCXq1KHt67VuKtj9HVypNYdnadrruilacPbSK4SBTjcah6Wp5b5f1bAkfXKLJW+zKgf+TVj2ZYXtGHPh/rWhOcV3yFSjgpzTy/Auqe3bPciKh8BqDMNfgKS8fDDDyssLExvvPGGFi5cqA4dOugf//iHJkyYUKvjgMaiuDRL//yoflQ5Op+12Q7tLZCmxleon/tNddKb3seOFMZo18FHJQWp0BWt1n06KmnNRvW+dpwCg889q8i0wCkuLLFa4gAAUBduGyl9758OHdy6QT2HjTrnsebG3sHNq5XQvYkynV2tfcmp6Wqa8rT6tjxQ49gDhdJHRxxKKa4/yZEqK7e9aH0AAID6i/waUHtrts+0Puq74kqHntsrDY6VJrXar7iSRxVX7fGFeyeroGiItZ3R4kY5Av6qQ1s3KPGqa8973WJu6pp2OKYtDgAA/uZ0St+e5NJTb25R31ETFRRSs1r4qVL37VFhfqEK298pM622rKJC+3d9pIebzTxZuS9HKq2U5qc79GWGVOGuXzm2guIM/WP2zXaHAaCRazATkG666Sbr40xMf85vfvOb1se5XOhxAOqn7HKHZh1yqEumWzfEu9X6RJXoNhG5uqnTcr237zprHN9zirYu/z+lJG1Th74DzvmcyVvXWa1wenV018W3AACAIsOkO0e79fZX69Tj6pFymIzJWWSnHlVOerp6jTg5YXhIy+26strko9xyT6VAs5pZql+JEQAAUL+QXwPglkNrsqQtOdLYlm4Nj5MCTlxGPNBjibYc76OC8nAFhUapQ8/2OrhljboPGX7u65ZjKcrOOK5v/7juvg8AAKZPkJ54tcK6F9Sx38BzHntg8xo1i49SVFyiNTZV+77XZ26NtqEbsqXPjjmUW05+DQDO5uxXBQBwmdpb4NDfdjv0YYpDRRWefTd0XK7YkFxrOyKmmVp3aqODm9ec83mK8nKUemCf1QoHAIC69O1JUkFegdIO7jvncaalaERMmFp06G2Ng5zlurf7Amu7wiUtSpP+lGQmH5nECMkRAAAAABemxOXQp8ec+ssuh3bmefZFBRfrts5feI9p22esinLzz3vdcnDLBqsNjmmHAwBAXWnbQho3yGFV4TuXotwcpe3fqw59h3v3jU7YoI7RqdZ2SpH03F6H3kh2MvkIAM6DCUgAGiSXHFqR6dAfkxxacVwKDjh5Q9Zo12e4so6ZqhGeE8gzObR1o8JCHFYrHAAA6tLgRKlnB6cObVl31mPKS0uUkrRF7fsM8a42ntrha7UKz9bWXOnpXQ7NTXWqzEViBAAAAEDtZJQ69OIBp17c71BGqTS+3VolRKRbjzVtnaCYFs10YPPZb+yWl5bqSNJmqw3OOYokAQDgFw9Mduv40aPKzUg76zEHtqxXYHCQ2iT2t8bhgSW6s+tiFVRI7x526B97HDpQSH4NAC4Ep/wAGrSiSoc+POK0KiINa71V3ZskW/tbd+6u0MgIq3LEmbhdLh3ets5qgWNa4QAAUJdMeeeHprh0bG+SSgoLznjM4R1b5KqoVPs+g6xx05A83dTpK72wz6FXDjqVVUZiBAAAAIBv7Mx3WNWQ1me7NL3HXG/LxQ79rlLq3l0qzj9RJukUR3ZtU0V5hdUGBwCAujb1aqlZjFMHt6w/4+MuV6UObV2ntj2vUGBwiLXv1s5LVewu1B93OrQ6y2G1JwUAXBgmIAFoFI6VePrXz+gxxxo7AwKsG7aHd2xWRVnpacenH9qngtx8qwUOAAB2uGuMFBggJW/fdNpjbrdbhzavUavO3RUWFW3tu7vbQqWXlml3AUkRAAAAAL5X6XZoXqpDVzTfp0FxSda+dj37yhkYqINbN5zxa5K3rrXa35g2OAAA1LWgQOmbE106smOjKivKT3s8dd9ulRQUqmM/zwK/+PDjmth+tT456rDakQIALg4TkAA0GiUuqUvMUY1q40mIdOw7UBVlZTq8c9tpxx7cvM5qfWNa4AAAYIfYaOnm4W6rT72ZcFRd9rEUZaenq+MVnuRI15gUjYjfolKXTcECAAAAaBSqrjnuS5ynQEeFgkJClZDYx2ofbSqKV2fa3Rw/ctRqfwMAgF2+OVEqKS7V0d07T3vs4Ka1atq6jZq0bG2N7+8xV0HOSpVW2hAoADQATEAC0GhUnTDe2W2Rgp2lCo9popaduurQlppt2EyrG9Py5sEpLqsFDgAAdvn2ZCk3M1uZKYdq7D+weZ3Co5uoZYcu1thU+HM63CohOQIAAADAj8pOzDGKj8jS5A6rrG2zMKIoL09pB/bWONa0uzFtb6ZcZUekAAB4dGsrDevjUPLWdTX2F+ZmK/XAXnXsN9ga92++WwPj9ljbLPIDgNphAhKARqP0RLnMpiEFuq7tl9a2KauZdeyoctKOeY8zrW5My5u7x9gWKgAAlmv7SR1amz71J9sZlJeWKGXnVnXoN1AOp1PdYzepW5MU6zGSIwAAAAD8yS2Hd5HfLZ2/VFBAgZq2aqOYFq10YPPJRX6mzY1pdzNjgkvBQfbFCwCAYarxpR06qILsrBoTZQODQ5SQ2Nv85dL9ifO8j5FjA4DaYQISgEaj+gnjyDYrFRiQpVaduyk0MloHNnkSJKbFjWl1c9Mwt9X6BgAAOzmdJkHi0tHdW1VWUmztS96+Wa5Kl9r3GSCHo0wjEhZ6jyc5AgAAAMDfqq47wgNL1bXZYjkcDqt6xLF9u1WUn2s9dnRPktXuxrS9AQDAbjePkKLCHTq01bPIz1VZaS34a9ernwKDg9Usco0SIo97j6cFGwDUDhOQADQa1U8YI4IqFRs9X05ngDr0HaDDO7aovLRUmUeSrVY3puUNAAD1wX3jJHdlpVX1yEyUNe3XWnfprrDIKMVEfKXmofneY0mOAAAAAPC36gsfOjTZqODAo2rbs48CAoN06ET11uSta3VNb4e6t7MvTgAAqoSHmq4XbqVsXy+Xq1LH9u1SaWGB1SXD6SxUQpOlNY4vYZEfANQKE5AANMrkSIhTCgvZpdDgfdYEpIqKcuvGrim52b6VUyOvsDNSAABOim8uTRziSeBnHT2svIw0dbxikFqEZSs6cqVCA05vNwoAAAAA/lJWLccWGuBWbMw8BYWEqm2PPlZurSArU2kHD+qBKW47wwQAoAaz8Lwwv1Bp+/dYXTFi4xOsFqJNI5coIqjEe1yl2/MBALh4TEAC0GgnIDkcsqogRUZHq1XHrtq3YZWOJm3Tg1NcVssbAADqiwcmS1mpadqyeK7CY5qqRYfOurf7fDkdFdbftCq0YAMAAADgbyXVKq+GBEihwcm6ptVWq4pEcX6e1n7+viLDnbplhJ1RAgBQU/+uUr/OTu1csVTpB/dZ7UPbR6UqMnyD9fesZoVxFvkBQG1wix1Ao1G9LU1YgNQ0yK3goHSNa7fWqiSRdzxdlZWVmjIiys4wAQA4zahBAQqPjFB26hF17DdQvZsd0tCWOxQW4FaT4JPH0YINAAAAgL9VX/jQOtQth9y6p/sCtWzTQk1atlb2sSMaNDDBancDAEB9MvyaBOWkHbUq97VJ7KUZiXPkcLgVX+1vFu3XAKD2mIAEoNEoqnZTNtAp/SzRrfEtXbqjyxJ17p6gsKgYtercXYsyx9sZJgAAp5l7+Bq17TNQDmeAOvbudyI5Iv080a24kJPHFTMBCQAAAICfFVWc3L6mufS9Lm7FheXq+o7L1fGKwdb+gE4TlJwfZ1+QAACcoqA8VJlxNyogKEjtel+hYQl71LvZQc3o4NJNCSd7rpFfA4DaC7yErwWAy0pmmbQ7X+p2osBRkFMa18psFWtaty+VMW26AoNDtPxYhCa0W6MeTZNtjhgAACmzJEof7h+hxKEOJXTvrcmJu9UhOs16LKLa2Xx6ibS3wL44AQAAADQOa7MduqKJ21rgZ7SP8Hy+oeNyLRr8iGJaPKiYlm30StJE/WrQLGvxBAAAdntv70iVBjTTdfc8qOgmEbq3+wvW/l4xNY9bmckfLgCoLSogAWhEHPrffofeT3GosNpKLWN827VKTChXSLgnYzJz50S53JxkAgDs9/rusSqtDLZWZ7WOj9G0botrPF7ukhakSn/f41CJi79dAAAAAPxrb4FDf9nl0PbcmvtDA8t1X+IixbZuY403Z3bRuozu9gQJAEA1KQXNNTd5iLUd3byFbu62Ti3Dc2occ7hIenaPgwlIAHAJqIAEoFFxyZw8SptypAmt3LqqmRTgkAKcLk1PnKvfrrvfOm5fXhs9tKq/osI3WeNn+tH0FwBQt3602amSsgSlZl7h3Xd7l6WKCS7yjrfkSJ8ecyirjMQIAAAAgLpzvMyhlw86lBjl1vXxbrUI9ewf1nqr5iVfqaSc9tb4r5snqE3cfjkcleTXAAC25NeMtKyJqnQHWNuxIXm6sdNX3mPyy6U5qQ6tzZLcIscGAJeCCkgAGqXiSodmH3Hqb7sd2pPv2dev+X4NbrHTe0xBwWi5XCH2BQkAaNTcboeKCiZ4x/ERGZrQbrW1faxY+s8+h1495GTyEQAAAADbJOU79NfdDn1y1KGSSlnt1mb0mCOHPJONKiqbqbTYU3ECAAA7lJZ2UXFpV+/4rm4LFRZYpkq3tDRd+lOSQ2uyHEw+AgAfYAISgEYttcSh5/c79MpBUz1Cuq/7fAU6PP3ZSiujVF4y3O4QAQCNVHFJb+WVJnjHMxLnqszl0ocpDmsCrWl7AAAAAAB2q3Q79GWGQ39Mcmh1ptQ55piua7PR+3hW/rWqqIy0NUYAQOPkdgeoqHC8d9wt5rBGxG/Rzjzpr7sc+vSYUyUucmwA4CtMQAIAObQ116GnkxzalJetKR1Weh9JzR2q8opYW6MDADQ+xRXBys4f6x0PiNutMudea0XWikyzlpjECAAAAID6paDCoXdTnPrHbofu7LZYYQEl1v4yV4hy8kfZHR4AoBHKKxys3NI479hU6Zt5UHrxgEPppeTXAMDXmIAEACdUuB1alO7QtQnL1CTY05fNrUBl5Y2zOzQAQCPz4f7hKq+MtrYDHJWanjjXSuQXVpIYAQAAAFC/HS526MOjhbqly5fefQXF/bU3N97WuAAAjUtuaYRyCkZ6xyPjN2p/yRHtyDP5NXJsAOAPTEACgFOUuUt1Z7dF3nFxaaI2H+9sa0wAgMYjtaipPj14tXc8qf0qxYRk2hoTAAAAAFyMkkppcvtVahVedS3j0Ms7J8nttjkwAECj8daeUXK7Q63t0IBS3dVtkQormHgEAP7EBCQAOEVppXRdm03qHH3Eu+/lpImqdPFPJgDA/2btGqdyV5C1HR1coFs7f2kl7wEAAADgclHqkoKclbo/cZ53366cdlp+rI+tcQEAGocDea20KGWgd3xzp2WKDc23/j4BAPyHu+kAcApzAup0uDWjx1zvvpSCFpp/eJCtcQEAGr6tmR21Oq2Xd3xn18WKCCohOQIAAADgslvgZwyK26V+zfZ697+2e5xKKjwLLgAA8AdTbW/mzolyn7gN3iw0S1M6rLS2ybEBgH8xAQkATlF1AprYNFndm27x7n9n7yjll4XZFxgAoEEzlfZmJk30jpuEHtOohA3WNskRAAAAAJeTqmsYh0O6P9Es8vPMSMosidHHB4bZGxwAoEFbldZT27M7esd3dJ2v4ICKGhNkAQD+wQQkADhF9RPQUe0WyKFya7ugPFxv7x1lX2AAgAZtUcoAHcpv5R1f2XquAhxua5vkCAAAAIDLSfVFFO2iMtQ8cq13/NGBYcoojrEnMABAg1ZaGahXk8Z7x6HBB3RVy50nH2eRHwD4FROQAOAUpS6HdzsuLE8xkcu94wXJg3Uov4VNkQEAGqqC8lC9tWe0d3xVq23qEHPIOyY5AgAAAOByUu6SXJ71FJb2TZcqMqjI2i5zBem1XePsCw4A0GB9evAaZZQ0tbadcik2eq5CAk4+To4NAPyLCUgAcIrqJ6AhTik68ms1D82xxi45NXPnJKuHMAAAvvLu3uuUXx5hbQc7y3VvtwUKcZ78Y0NyBAAAAMDlxC2Hyqpdx0QEF+uOLku84xWpfbQjq709wQEAGqTMkmh9uH+4dzy27TpFhqTJeXLNOVXGAcDPmIAEAKeofgIaHig5HWW6t/sC776tWZ20Jr2HPcEBABqclILmmpt8pXf8jY4r1CI8x/obVIXkCAAAAIDLTfWFFBEB0ri269Q2Ms277+Wkiap0V7srDADAJXh911iVVgZb2xGBxbqj6xLr7091JSzyAwC/YgISAOjsJ6DtwqWHO7t1datt6tH0ZCsc00O43HXKmSsAABfJVNSbmTRRLrfnb0psSK5u7PiVtX1l7MnjqIAEAAAA4HJTfSHFPe3dCnC6NKPHXO++A3nx+uJIf3uCAwA0KLuy22rZsX7e8W1dvlB0cJEe7VqznUX16nwAAN9jAhIAnOJgoVRSLUHSKVJyOKQZiXPkkOfsNK04Vp8dvMq+IAEADcKGjG7adLyrd3x394UKDSyvcYzLLe3OZ1UwAAAAgMtLUv7J7ZAT6/j6NtuvK1vs8O5/c/cYFZaH2BAdAKChcLkdVlW9Km0iMjSh3RprOzro5HF78kXlPQDwMyYgAcApcsodenaPQ7urJUmMTjHHNDphg3f8/r5rlV0SWfcBAgAaBFNJb2bSBO+4e5NkjWi9pcYxR4ul/+xzaF8hyREAAAAAl5dPjzr00RGHik9pKX1f4nwFOiqs7dyySL2/b6Q9AQIAGoQvj/bT3twE73h64lwFOk+WOqpwSV+kSzMPkl8DAH8L9PsrAMBlKK3UoRf2S72jpW/Eu9XsxEKsO7su1tepvVVUEaqSyhD9YPVYNW/ysfXYM/2o3QkAuDA/2uxUbsFQZRc19+6b0WOOVXHPKKyQ5qU6tCpTconkCAAAAIDLj7mW+eq4tDFHmtjKbbWZdjqkVuHZmtrha80+MMI67pODQ7S+cL2CArPIrwEALiq/5nIF60jGWO++gXG71D9ur3e8I0/6+IhDx8vIrwFAXaACEgCclUPb8hz68y6H5hxzWH3rY0IKdUvnL71HFBT3V7Crta1RAgAuP4HucBUWXesdX9dmg7rEHLXarS0/Lv0xyaGvM03jT5IjAAAAAC5vBRUOvZfi1P/tcehAoWffzZ2XqUlIVfnxQLlLxkly2xkmAOAyFFA2XJWuKGvbVNe7P3GetZ1eIv1vv0MvHXAy+QgA6hATkADgPCrcDi1Od+jpXQ5tyJYmtV+l1uHHvY9XFk+U3CRIAAAXLsY1SmWVodZ2aECp7uq6yOpD/8xuh2Yfcaq4ksQIAAAAgIYlpdih5/Y69Pohh0pdZbqr60LvY0fzE9UuuLOt8QEALi8tgprocM5V3vGk9qsVG5pptQD9626HkvLJrwFAXWMCEgBcoNxyh95Idur5fS5N6eiZRW/sy2snd3kfW2MDAFw+9ue10ob0Ad7xxPbL9ElqoZ7f71BqCYkRAAAAAA2ZQxtzPAv9KgI3q3N0iveR7WkTVOHilgUA4MKk5oxThTvQ2o4OLlCn2KX6U5JDSzMcqnSTYwMAO3A2DwAX6WCRQwsz96hfsz3efcdyxqqkIsjWuAAA9Z8pmPfyzklynzgNbxmWpSOVq7Ql1yRFSIwAAAAAaBzKXA7NT3Ood8u53n2ZJS204PBgW+MCAFwetmR2UnJeT+94RMIifXSsXPkV5NcAwE5MQAKA2nA4dGe3uXI6Kq1hWWWMPjowzO6oAAD13NepvbQzu4N3fF/iPJW5K2yNCQAAAADsEhOaohGtN3vHb+8ZpbyycFtjAgDUb5Uup2bunOgdd4w+qsTYjbbGBADwYAISANRS87DjmtBujXf88YFhSi+OsTUmAED9VVoZpFm7xnvHfWL368oWSSrxzGUFAAAAgEan1CXd3X2hQgLKrHFhRZje2Xud3WEBAOqxhSkDlVzQ0juekThX5absOADAdkxAAoBLSJDc3uULRQUVWuMyV80bywAAVPfxgWt0vKSJte2US9N7zDEF9VTmsjsyAAAAALAvv9YsNE83dvzKu29B8mAdzD95YxkAgCr5ZWF6a89o7/iaVlvVM/aQ9fcEAGA/JiABQC2ZE9rIoBLd0XWJd9/K1N7antXe1rgAAPXP8eJozd5/slXnuHZr1T4qXeUuySV60wMAAABonEpPVIT9RscVig3JsbZd8rTWoZgFAOBU7+69TgXlnladgc5y3dN9gbVdWkl+DQDqAyYgAcAlJkjGJqxXk9BU7/6ZOyep0s3JLgDgpNd2j1OZK9jajggstiroGbRfAwAAANCYVVWsCAmo0J3d5nv3b8vqpDXpPewLDABQ7xwuiNO8w4O945FtlisuLNfapgISANQPTEACgFqqOqENcLp0Vfw87/4D+a21JGWAfYEBAOqVpOx2Wn6sr3dsKudFBxdZ2yRHAAAAADRm1a+JhrXarh5ND3rHrySNV1lloD2BAQDqFVMVz1THc7kDrHGz0FyNbbfc+zg5NgCoH5iABAC1VP2EtmPMfg1pucM7fnPPaBWWh9gTGACg3nC5HXp550TvOCEyXeParvWOSY4AAAAAaMyqV4UNCpBm9JgjhzwXSunFsfrs0FX2BQcAqDfWZXTX5swu3vE93RYoJrj8tI4VAAB7MQEJAGqp+gltSIB0b/f5CnRUWOO8ski9v2+kfcEBAOqFpUf6aV9eG+94RuJcBTpPzjoqYwISAPjELbfcou7du5/28eijj9odGgAAOIdTF2V0ik7V6IQN3vEH+0YoqySq7gMDANQb5a4AvZI0wTtObHJIw1pvVUi1u9ws8gOA+pFfo34pANRS9RPagU2lsIBsfaPj1/pw/whr3+eHhmpMwjq1icy0L0gAgG2KKkL0xu6x3vGguCT1a77vrKt9AQC143a7tW/fPo0ZM0bjxo2r8VibNicngQIAgPrnTBUr7uy6WF+n9lZRRahKKs111Rh9r+9sO8IDANQD5l5LalEza9tUybOq5Tmk6KCTxzABCQDqR36NCUgAUEtHix3mn2NrO8zTdlg3dVqmJUf6K6c0SpXuAL2ya6IeH/i6vYECAGxhVurmlHlW6poKefclzjvtmGMlNgQGAA1MSkqKioqKNHr0aF1//fV2hwMAAC5CuVvKKJXiQk7uiwkp1K2dl+rVXZ5qF0uP9tf4dmvVrUmKfYECAGyRUxqh9/de6x1f12aTOsccq3FMucvztwQAYH9+jRZsAFBLG3KkT486aqzUCgss093dFp48JqObNmac7EsMAGgcUoua6rODV3nHkzusUnxElndc6Za+ypDmp5rJrACAS7F3717rc+fOne0OBQAAXDSHXjrg0L6Cmnsntl+t1uHHveOXd06Uy831EwA0Nm/uGaPiylBrOzSgVHd2W1Tj8bQS6b/7HSqu5G8EANSH/BoVkACg1hxamiFtyJYmt3ZrUKxn77XxmzUv+UrtzU2wxn/ePFGtm/9HDodLz/SjDigANHQ/2uxUetYEVbg9p9oxwQW6pfOX3sd350sfH3UotYTECAD4wp49e2okSMxqrfDwcJujAgAAFyqj1KF/75OuaCJNbe1Wk2ApyFmp6Ynz9IcNd1vH7Mltq++s6qfI8C3k1wCgkeTXSstb69jx/t59t3b+Uk1DPDNWiyulBakOLT8uuUSODQDqS36NCkgAcInyKhx667BTz+5xKLlIcjrcmpE41/t4WUWcYtyD5TjRrg0A0LDFOjuqqLSHd3xXt4UKDyxVZqk084BDL+xn8hEA+DpBEhERoT/+8Y/q37+/9WH61X/++ed2hwYAAC6YQ5tyHHp6l0MLUj3tdAbE7Vb/5p4bIUZp0RhFBQTZGiUAoG6EONxylEzw3spuFZ6pyR1WyuWWVmVKf0pyaNlxB5OPAKCe5deogAQAPnKoyKFn90iDmpqKSIc1In6Tlh29wnpsX+ZI3d1rs5kvaneYAAA/qnQ5lZFrkiMenaOP6OpWmzTnmENfZkgVtAwA0MAcc0dpbNltl/gc76r1JZaILiwsVH5+vv785z8rLy9Ps2bN0mOPPaby8nLdcMMNlxQfAACoO2Uuh+anObQmy62p8W7dnzhXm1d0kssdoPzyaHUKGiZpsd1hAgD8bHiTXnrxaHvv+L7u85VSXKmPjjiUUkx+DUDDcswH+bVLzbH5Kr/GBCQA8CG3HFqbLW3Jla6KXajVaT1VWhmswoow7ckcpXGtP7M7RACAHy04PEiHC1p6x9ckzNVfdku55SRGAMBfbrvtNrlcLt11113efZMnT9aUKVP0l7/8RVOnTlVAQICtMQIAgIuTXe7QrEMOdY7I1Ij4NVp65Cpr/5xDV2tC2/VqEZ5jd4gAAD8prQzSR/vHecc9Y/dpV/EuvZNq8mvk2ACgPufXaMEGAH5Q6nJoaWahEpp85d33RcogHcw/eVMaANCw5JeF6e29o7zjDjFbtSw7hclHAOBn06ZNq5EcMUJDQ3X99dfr+PHj1gouAABwedpX6NCBiqUKDyy0xuWuIL26a7zdYQEA/OjjA9foeEkTa9vpqFRh4DxtymXyEQBcDvk1JiABgB9FhX+tuNBsa9stp2bunCi32+6oAAD+8M7e61RQHm5tBzvL1KnZQrtDAoBGLTY21vpcVEQbZAAALmcOZ6mGJ5xsu7YqrZe2Z3WwNSYAgH8cL47W7P2m3abHsNZr5QjIsDUmAGjMYi8yv8YEJADwo3J3he5LnO8db8vqpNVpPWyNCQDge8n5LTT/8GDv+MZOy+UMyLU1JgBoDNLS0qxy0M8999xpjx04cMD6nJCQYENkAADAl3o0W6/2Uane8cs7J6rSTSUMAGhoXts9TmWuYGs7MqhIo9p+YXdIANDgpfkwv8YEJADwo1KXNLTlDvVq6vnH2Xh11wSVVQbaGhcAwHdMZbuZSRPlcnv6HzcPzdH1HVeotNLuyACg4WvZsqXy8vL03nvvqaCgwLv/6NGj+vDDDzVkyBDFxcXZGiMAALh05W63pifO9Y4P5rfW4pQBtsYEAPCtpOx2Wn6sr3d8e5clCggotjUmAGgMWvowv8YEJADwowq35JI0vcdcOawtKb24qT49eLXdoQEAfGRdRndtyezsHd/TfYFCAsqtSagAAP/7zW9+o9TUVN1xxx169dVX9e9//1u33nqrAgMDrccAAMDlr6TSoT7NDmhoy+3efW/tHqPC8lBb4wIA+IbL7dBLOyd5x20j0zS+7ToW+AHAZZZfYwISAPiVwzpB7hidqjEJ6717P9w/XFklUbZGBgC4dOWuAL2SNME7TmxySNe02mZtl5AgAYA6MWbMGP3rX/9SWFiY/vrXv2rmzJm64oor9NZbb6lz55MTRAEAwOWraoHHvd3nK8hZbm3nlUfovX3X2hsYAMAnvjhyhfbnxXvH0xPnKcDpYoEfAFxm+TV6AAGAn5kT5HBJ07ot1orU3iqqCFNJZYje2D1G3+s72+7wAACX4PODVym1qJm1bSrdzegxRw6H5zESJABQt0kS8wEAABqmshPXVy3DczS1w9f6cL9n4tGcQ0M1NmGd2kRm2hsgAKDWiirM/ZKx3vHgFjvVr/k+a5v8GgBcXvk1KiABgJ9VnSDHBBfpti5LvfuXHu2v3TkJ9gUGALgk2aWRNVbbjkrYqM4xx05LkAMAAAAALk31CrM3dfpKTUPyrO1Kd4Be2TXRvsAAAJfs/X3XKrcs0toOdFTovu7zvY/Rgg0ALi9MQAIAP6t+gjyh3RrFR2R4xy/vnGj1NgYAXH7e3D3aqmhnhAWU6M6ui2r82+8W/74DAAAAgC9Ur4ARFlimu7st9I43ZHTThoyu9gQGALgkRwtj9fnBod7xlA4r1ToiyzsudZFfA4DLCROQAKAOEyRBzkrdnzjPO96T21bLjva1JzAAQK3ty22tL470945v7fKlmoQUeseUhwYAAAAA3zm1wuyI+C3qGnPYO56ZNEHlroC6DwwAcEleTZqgCnegtd0kOF83d15W43FybABweWECEgD4WXZZzfHAuD3q33yPd/z67rEqrgiu+8AAALXidpsKdpPkPnEq3So8U5Parzrnv/0AAAAAgNo79RrL6XBrRo+53vHRwjjNPTSk7gMDANTapuOdtS4j0Tu+s9sihQeW1jiGHBsAXF6YgAQAfjY/zaFDJ4tiWO5PnKsAh6c3W3ZptD7cP9ye4AAAF235sT5KymnvHZvKdqbCXZXjpdLsI5SHBgAAAABfySl3WNdZ5dUqYXRrkqJr4zd5x+/tu1a5ZeH2BAgAuCgVLqdmJk30jjtHH9F1bU7+m+5yS8sypF35NgUIAKgVT007AIDf5JY79M+90sCm0uTWbkUHSQmRxzWx3Wp9duhq65jZB67W6vyNCgrM0TP9qCkKAPXVDzeG6Njxcd5xv2Z7NShul7VdWiktSndYyZEKNxOQAAAAAMCXlh93aHuuNCXerSuaePbd1W2hVqf1UElliIoqwvSDVaMVG/M5+TUAqMd+tNmpvMIrlVXQwrtvRo85VnU7Y3+B9NFRh44Uk18DgMsNFZAAoA645dC6bIf+lOTQknQzu1+6rctSRQd5SiO53UGKrBir6EDPCTYAoH5q4bha5ZUx1rbTUanpPebK4ZDWZenEv/EOJh8BAAAAgJ9klzv02iGn/r3XoaPFUrPQfN3U6Svv4/lFA9UhtKWtMQIAzi0hNEzFRdd5x8Nab1Fi08PKKZNeO+TQv/Yx+QgALldMQAKAOlTqcujzY079ZZdDB4tKNK3rYu9ju7J7aUqLDrbGBwA4u/TiGG1JH+YdT2i7VnJm6Nk9Dr112Km8ChIjAAAAAFAX9hU69PfdDr2f4tCohK/VIizb2u+WUxk5E+RmjR8A1FuRlSNVXBFmbQc7y3RH1wVamCY9vcuhTTkmv0aODQAuV0xAAgAbHC9z6OWDTh0o36A2Eane/W/snqhKF/80A0B99NqucSpzBVnbEYFFCgpbqv/b49ChIpIiAAAAAFDXXHJoZaZDz+yp1JXx8737t2d31Kq0nrbGBgA4s0P5LbQgebB3fFX8cr10MF/zUp0qc5FjA4DLHXe5AcBGuwskd+hc7/hQfistShlga0wAgNPtyGqvr1P7eMeREV9oc16J1WIT/tMixK2b2rg0qoVbwU6WMAMAAAA4XXGlQ1sLkxQdesC7b9au8SqtDLQ1LgBATaY63cydk+Q6cXs6NDBHBypWWu01AQANAxOQAMBmwcGH1Dpqu3f81p7RKigPtTUmAMBJlW6HXk6a6B03DU1TaNh6W2Nq6IIcbk1s5dKPurl1TXNpcmu3ftLdrV7RTEICAAAAcDqHQ4qMnCeHXNY4vbipPj14jd1hAQCqWZOeqK1ZnbzjqMgFcjrKbY0JAOBbTEACgHqga/MFCnJ6TrTzyyP03t6RdocEADhhScoAHciL944Ht54rh8OT1IbvdY9y60993RrTUgqsdrUSGyzN6OjWM/1c1gcAAAAAVBcclKahrdZ5xx/uH67MkihbYwIAeJS7AvRq0gTvuHuTQwoP3WFrTAAA32MCEgDUA05njq7vuMI7nps8RCkFzW2NCQAgFZaH6M09o73jK1vsUGz4ybL+8J1Qp1v3tHfpgU4XVuVoWHOqIQEAAACo6bp2SxQRWGxtl1YG6/XdY+0OCQAg6bODVymtONbaNtXq7ug6x6peBwBoWJiABAD1QIlLurHjV4oNybXGle4AzUyaaPVEBgDY5/191yqvLNLaDnRU6L7E+Sql+I5fTI1364omF378jW3c6hLJH0oAAAAAJwU5i3Rbl6Xe8bKjV2h3ToKtMQFAY5ddEmnl2KqMTtigVhHHbI0JAOAfTEACgHqgtFIKDSzXPd0XevdtOt5VGzK62RoXADRmRwubac6hod7xlA4r1So8mwlIfmJarNXF1wAAAABouMz12oR2q9UmIsO77+Wdk+RyU2YDAOzyxp4xKqkMsbbDA0s0reti8msA0EAxAQkA6oGqk+3hrbeoW8xh7/5XkiZYvZEBAHXP/Btc4Q60tpuE5OuWzl96J43C90pq8b7yswAAAABwao4t0OnS9MS53n17chO07GhfW+MCgMZqb268vjgywDu+tfNSNQkpZAISADRQTEACgHqg6mTb9Dye0WOOd//Rouaae2iIfYEBQCO1MaOL1md0947v6rpQYYFl1jYJEv8oq8X7ys8CAAAAwJkWNvSP26uBcbu8+1/fPVbFFZRQBYC65HZ7qtBVaR1+XBPbr7a2WVQGAA3TZT0BqaCgQE899ZRGjBih3r17a9SoUfr73/+usjLPzaHq3nzzTU2YMEF9+/bV1KlT9fnnn5/xOS/0OKAxad6km67q/YAGdL9LwcGRdofTIFW6Hao4cRO1a5MjGhm/0fvYe/tGKrc0wr7gAKCRqXA5repHVTpHH9HINpsvqVIPLnAyUdzNUvx3pKgrL/xrAADAJSG/BtSdPp1v0NV9v6t2rU62eoZvlbpOtlq7P3GeAhyeC7js0mh9uH+EjZEBQOOz/Fgf7cppV+Pf5SCn599lcjr+v6fXv/s0BQeE2R0OgEbmsp2A5Ha79cgjj1gJjdGjR+vxxx/X4MGD9cILL+iHP/xhjWNfeuklPfnkk+revbt+8YtfqEWLFnrsscc0Z86cWh0HNBbXDfixHr71S40c8EM5nIGKDG+uO8a+rIdvWUqixA+qn3Df3W2hQgNKre2iilC9uWe0fYEBQCMzP3mwUgpbeMff7DFHTofbOyZB4lsxkW300E0LFTvoc32e01XvH5G+dNyug92WKb/jc+f8WiaDAQBwacivAf4XGRanh25coG/d8LnimnaX212pvl1u1Hdv+UK3jH7B7vAanOoVNeIjMjWp/Srv+NODVym1qKk9gQFAI1NSEaRZu8Z5x1c036OBcbu9Y/Jrvjdq8P/Tw7cu04j+35fDGaCo8JaaNmGWdZ8vocVAu8MD0EgE6jK1ePFirVy5Ur/+9a911113WfumTZumVq1a6fnnn9f69es1cOBA5eXl6bnnntOUKVP0zDPPWMfddtttuueee/TnP/9Z48ePV0BAwAUfBzQWd014Q9n5h/TCh+NVUVni3b9s4/8pOiJet435rzbselsbkl63Nc6GpKBCijjxr3LT0ALd3GmZ3tgz1hovThmg8e3WqFN0qr1BAkADl1cWrnf2jvKOR7TerO5ND3vHlW6pmEkvPtOyWS/dOvp5vb/4IaVmbq/xmMPh1JDe39LwnkvVKmnkGb++sKKOAgUAoIEivwb4vwLBtHEz9f6S7+jY8S2nne8O6nGvtdDvX++f+XwXF6/wlOu1Wzt/qS+P9lNeWaTKXeZm+Hj9tP/bdoUHAI3G7APDlVUaY207HZWanjhXDkfN+yHwnXsnvaP0rCS98OFYVVR6Frcbyzb+Q00iE3Tb2Be1asv/tGXfB7bGCaDhu2wrIK1Zs8b6fOONN9bYP3HiROvzxo2e9kVLlixRUVGRlTyp4nQ6deedd+rYsWMXfRzQGIwZ/Liy8vZrzopf1Jh8VCWv8KhmfnaTrux1v7WKC76xMO1kGzZjSoeVahGWZW275dTMnZOsnskAAP95e88oFVZ4ShOHBJTp7u4Lazy+OE2qcFfLluCS3DbmBb3y2c2nTT4y3G6XVm39rxZsfF7Hu5yeHFlxXMqr4GcBAMClIL8G+Ne0cS/r1c9vOW3yUdX57todr+jLDX/TjKkf2RJfQ7QzTzpYeHIcEVSiO7su9o5Xp/XU1syO9gQHAI1EelETfXLgGu94Qrs1Sog87h1nlkprssjp+MrEq59SauY2zVv1mxqTj6rkFKTo5U9u0LD+jyg4ONKWGAE0HpftBKTvfve7+uijjxQeHl5jf3Z2tvU5MNBTRmTbtm3W5169etU4rmfPnjUev9DjgMage4dxWrDqt+c8prKyTPO+/g2lon1oY45Df9518qQ7OKBC9yfO9453ZHfQyrSa/0YBAHznYH5LLTw8yDu+seNXahaaV+OY+WmX7elzvXPtgMe0adc7KihKP+dxm3e/q8zKmuf8xodH+FkAAHCpyK8B/jO094Patv8T5RUeO+dx5hhTDSlAVAfzhVKXQ8/trXlTe1TCBnWMOvlzeHnnRFW6uJ4AAH+ZtXucylxB1nZUUKFu7/JFjcf/ssuhrDImIPlKp/hhWrTmD+c8xhQbWLjqd7pt9It1FheAxumybcHWpEkT6+NUb731lvW5f//+1uf09HTFxMQoLMyzkr1KXJynasvRo0cv6riLVVrYVFvefdA7bt13roIjPRVNgPqoY9s+Sklfr0pX+XmPPXhshYKDfq3cFCbF1Jbb7VBFaYQqiqNUURKlAyVR+sZnUeoTn6EHxy7WlS12qnfsfm3L6mQdP3PHRM1ZNFBP3T3L7tABoEExFeae23SjXCfm5zcPzdE3Oq5QZn6UZi4eqWW7OyogtFBBofkKDMtXUGieAkML5HDSsL62et18g178xFNd4XzWJ72l+E5/1qz/LdH8bd0UEFJ04udQ9fPIl8NJbzzYf16XvPJO77i08F1b4wGAhpxfC2uaohY9vqzVcwF1ZcDNd+nlz6Ze0LFrd87ShEEv6c2P/uL3uBqqyopgK7dmcmzlJVG6YUmUQhSkO4au0zeuXKPpPebq12tmWMcmF7TS31fcrB8Pf8/usAGgwfnbwpu0srK3d3xH1yWKDCrRl9t6aebSYcoucyowNF9BYfmez6H5Cgg+vRMHLkxilyt1KHW1XO7z58X2pCzRqME/554e6r2c5L7KTelTM8fm6eiIy0C9m4CUkZFxzsfNiqyIiIgzPmZWbM2fP19DhgxRv379rH2FhYUKDQ097diqfcXFxRd13KWKaLFP4bG1S7YAdWHg4Bt1OHXdBR9fWJyhmITT26bg0pjT7WePSFcXhWhal3n61ZqHrJviWWXRGn/V/2fvPuCrqu//j7/PHbnZIWFvEAegiLgHigIyrFp3tbbW0aqtbV21dlj9abXT1v5/3fqr2lqtta1arWW7cACK4GATCCEJgex1c+c5/8c5NzkBB7KSk+S+no8Hj5zP9x7CpzXj3s/9fD/ft7xODwB6nWU7xmlzyxA3/sKh87S40q9F1WHFRr+gQ5jQf8BFEw2KxXc6G2E37OboskMv1qah39EhQ+d3em7AvrDYRQ+gG+nt9TX7zSpqEeju4slmRaINe3Rv+Y53dML4q/m67gSvSVq7JqDzh5brpEEf6M3K1JviH8QOUnM803lTHABwYCQtQxXZA6WmVDwit1Lji1bqN2tD2pxco76nrlFfr5PsZY459gqVbFuyx/e3RHhPD91fa11HnR49T7drQJo8efJuH7/++ut18803f2R90aJFuuOOO5wdVT/5yU/cdcuyZBifPMav/bE9vQ/o7RJmTD5ft/vRkJYsn/R6Q1zvtmzXhP7L9W7Vcc7605tO1RlDV3zkWCAAwL6JJQN6dO1MNx6ZV6rF9atVE+f5X2fyGXverGE/N0naY6oAAMAeob4GeM8+Vm1vnu+aYrpqZ6lOJvRQqaWDshco6DtMcTOopniO/r7xDF0zbo7X6QFAr/Fi2dHa3DTYjcf0m6tfFydkiueAncU+zcTv3/P39Az+WwDoZN2uy+Dee+/d7ePjxo37yNp//vMffec733F2bj300EMaMmTILju6IpGP7mJoX2vf7bWn9+2v2uIT1Fje1voLdEMLt5Xr8i9N19trPv2IL5/hV0HOMFW+P71LcuuN7ONiApkt7qjRjmNkOopOzQlDSd9LMsyjZfn8iiYz9Ni6M3XTxH95mjsA9Bb/KTlJO1qLUoFlqdV48SPNR5ZpH5mZ64z0jzvHZuY6Y/2tZLd7Ot1jBC/oo7zsgWoKb//Uew8bMUNrNs/Z6fjSbCVa893/DvZ/FzMR7IKsgU9mtR3hCADdQW+vr0Wb+lOLQLfnOz9PfXKHqb657FPvPXTEmVr59la+rveVIfmDEae+tnONLbDLkT6GNrU2yB/brHjgUGdlbunxmjH8bQ3P3f3UOADAp2uJZ+qJDdPcOBit0eZoSeqH9E6S8dSRmfGdjs1MxrIki8aYfTGvulgXfG663l3/6ceK+n1B5WUP5fkGur3mKo4j6Mm63TsmF1988V7d/+STT+ruu+92zpd/9NFHNXbs2F0eHzx4sBoaGhSLxZSRkeGu22fS2wYOHLhX9+2v2s2pCSZAd2V/xRfdMFaZGfmKxHY/YefwMedq/Xt+7VgztcvySw+m/Bmtysiu1yEzfuus+H1hxSriCg7zO/HibRM1a8QyjS3c6nGuANCz1Uby9K9Np7lxrNKvzIEdP1u3LrtQTZWHKhHNSY2mwwHz2O8rdOr539B/37jjU+8dO+os3frVpxWP3O40HclK/T4EAADpWV+LNfejFoFu708PlGjWF2/U84tv+9R7jzjoPN3w/bck8XV9IBn+uAKhZg077l/KG7jJWcsw1ygcPVS+kGRafj26dpbuOOYxMaANAPbPP4qnqDGWmwpMS0az3XyUkohmaeOir7ZtIAt5l2QvtGON9NXrJigjmKNYvGW39x55yEV6b6nJ82gAnapHv4tin0l/1113qV+/fnr88cc/UhyxHX744c745zVr1uyy3h5PmDBhr+4D0sHjf9iqi6f9cbejou2JBacffbv+308Wd2lu6cGnZCxHrfVDZe48WaOuSTkKu+HDa86Sya4AANgvj6+frkgyVfjIMOKKbbXk8yfdx1uqRznFEZqPDrzXX9mg0YNmaGj/Sbu9b9aJ9+i9pQm11g1VorWA5iMAAA4w6mtA51i+bIuG9T1Nwwcev9v7ph3/fa17t8vSSitWMqh4uFDN2w9x1wKBVkU2d7ymWFl9iN6pSk1EAgDsm/LmvvrvlhPdOFgTU8DfscG9qfIwp4Gc5qPO8c9Ht+miqb/f7fFq+TlDNHniTfrdL9/o0twApJ8e+07Kxo0b9YMf/EBFRUV67LHHNGbMmI+9b8qUKQqFQs497UzT1BNPPKGhQ4fqqKOO2qv7gHSw+OWNWvFqnq465xkNKNy18Gg/gRk7arauPPvfuu+295TseI8WncBMdOwY9QWjGhMvd+PixqF6uXyiR5kBQM+3oX6oXq7oaH6ZmLlBhhX/xJ/DOPC+cdVLumDKQzr+8Kvl92d8pDBy8fQHFYyepj88sNyzHAEA6M2orwGd68YrX9Z5p/5OJ074igL+Xd90zcsepAun/k75mqH//Yk9/QhdVV9LVPl0cH7H0XiPrJ2luMlGBwDYV4+um61k24axwlCjEuWSLxB1H6e+1rkWzFmnNcv660tn/0v9C3dtqrUHDYwffbauPPsZ3XUT9TUAaXgE2576zW9+44xzPvXUU/Xuu+86f3Z22GGHOTu2CgsLde211+rXv/61swPrxBNP1Lx587R8+XI98MAD8vvbfiHu4X1Aunjikff0xsv9dNMP/iIjY4fCkWqn/ahP7khtLc7QDV98RbFWuo86mxkPSaHU1KO+Y5YqOzlSxwxZp+VVhzlrj68/UycNWq2sQMzjTAGgZ7EnyNmT5NoNya7WSKNM/Q/bvst9SfvnMDqN/VziK5fM17Xf/KKuO+9qNbRsUdKMKTOjjzL9Q/XobzZp2ZvszAIAoLNQXwM6VyyWer579dcu07XnXanGli1KmFFlZuQr0z9Mj/1hi95c/LrXaaZHfa1NZkGl8oes0fnDlunnqz/vrG0L99OcLSfo3NG89gCAvfVO1a6T5L5w6AL95r0TlDdw48f+HEbn+PMfV2j0on666ft/lRXcrtZIjQzDr4LcESpZG9DXLnvZeV4CAJ2txzYgvfVWalfIv//9b+fPh3396193R0bfcMMNysrKcsZIL1iwQKNGjdKvfvUrzZo1a5e/s6f3AemiZHO1brp64YdWOybwoPPFwgXKyK1zrvuMeF9ZobW6fHiO3q0eo4QVUH0sT/8qPk1fOOzD/50AALuzeNsErW8Y7sZXjp2rTc1bNSA/usv59PbIfnS+B//3Tel/d17ZZh/W4l1CAACkCeprQNd4+HdL9PDvPvx8d513CaVhfa1dINSqUZP/qsLckM4Y+o5eKj/aWf9H8ek6bci76hNq8TBTAOhZEqbPmSLX7pCCMk3q+4FGnv6es6G9Xay14+cwOs/mjdW68aoPv1e01aNsAKSrHtuA9Prre74zxDAMXXPNNc6fA3EfAHSVbSs/oxEn/02h3FonLonGtCEc1Vkjl+i5ksnO2vMlJ2v68OUalJ1qVAIA7F5rIkN/XTfDjSf126CMjPV6p8VwiyN281HZWxfuUiwBAADobaivAUgHLdWjVbX+ZPU75E0ZhuWsvVAd0WdHLtSblYcrkgwpnMjU3zZM01ePeM7rdAGgx5hbeoIqWvq78WWHzNG/tpm71NMaysepbvMxHmUIAOhqvi7/FwEAe6y1fqjWz71R296foWQ8Q5YMPVfh03a9qtxgs3OPPQnpz2tnOtf1LTn61bPna+YdP/I4cwDoXn7w2BUqr+7rXD+7ebJqo/nOtc9IKjtnrh7d4lPMNGSZPlVvOFHr5tyqxorxHmcNAAAAANhvlk/bVp6tjQu+ppaqkc5SeauhB0tadMSAV93bFpUdrU0Ng53rN9aM0xW/uM2zlAGgO7rwvh/oP8tOUNI01BDL1t83nu4+NrboXf2jskyrGlPNR9HGftr86pe05fUvykxwBBsApIseOwEJANKFZQZVteZ01ZVM0uAj56lw5Eptj8YUyl6k5obPOvcs2zFe79UcpCP7btJN5z2js49f4nXaANCt/PCLf3E+7gj30b83n+Ku52UvU3msxrlu2n6QKlacrWjjIM/yBAAAAAB03ka/4peuVZ8R72rQkXOl7EZVWUuUEThasURfWfLp4bVn6YfH/0knj1ujYw9Z73XKANCtPHrLz5WXFXGun9wwVeFElnPtM2JqDixUIGkoGQ9p+6qpqtl4kiyTt6EBIN0wAQkAeohEa4G2Lr1EGxddp3DtUOVmrVRGYJv7+MNrZitppn6sHzykYx0A0OHP62Yobgada58RVn7uK4q19FHJ65/X5leuofkIAAAAAHo1Q/WlR2ndnFu0ffUZskxDffLmu4+uqRupNyqPcK4zAkkP8wSA7qe9+aikaaAWbD3WXc/PeU0Bf5NqNx2jdf+9RdXrT6X5CADSFA1IANDDhGtGauPCr6rs7fOVn/mSu761eaD+7/0pnuYGAN3ZnI1Hasn2VCHZVpDziqpWTda6uTersfyIXc6nBwAAAAD0XlYyQ9s/OFPr5t6kWLVfmRnF7mN/WD1DlQ0FnuYHAN1VOBrUz1ec7UyNs/n99QpESrVhwddU9vaFSkTzvE4RAOAhGpAAoEfyqW7zsSpZeKmyQ6vc1QUVJ+vWh6/1NDMA6I5+859z9Ke1s904GKhUxctTtGPNVFnJ1EQkAAAAAEB6ibcUqfSNLyi8PlOS6ayF43309eeu05trx3qdHgB0K5sqB+mqR25TZXikuxZoKtWml76s1rphnuYGAOgeaEACgB7MjGcqURGRobgTW0ZI66wRisR4Mx0Advba9gmyAjlunBHeqHhrH09zAgAAAAB0D81bRys3c7kbm31z9FbJYZ7mBADdzbqKoYoNshs2U0IZJWpYO5q3mwEALn4jAEAPZ0UN5ee+7sYZQ0xtrBviaU4A0J20xDMVHxBy4+zM1TLiTZ7mBAAAAADoXvJCS+QzWp1rw2doddJ+Ux0A0G5541j53P4jU0X5c5VMdNTcAACgAQkAejj7CX5Bzuvy+xqc2DCkJ4qny7K8zgwAuoenNp4uBY22KKHCvPkyKY4AAAAAAHZmWuqT95IbVvmLtLZuhKcpAUB3URPJ03uRMW6cm/2OQsFKamwAgF3QgAQAPZyZyJDPF1dh/gJ3bV3jSL1dxZhoAChr7qc5pSe4cUHOGwoG6mXGMzzNCwAAAADQvZjxkPKy31YwsMNde3jNbJlW+4YWAEhfj68/U0kFnGvDiKgw90VZpiErmVoDAMBGAxIA9ILiiC0n8wNl+Mvd9UfXzlLc9HuYGQB4z/5ZmLRSPwsNhVWQ+5pzze4sAAAAAMCHN/kZRupIoXbFjUP1cvlRnuYFAF5bXz9Mr1R0/Czsk/uy/P5wW32NJk0AQAcakACgh2s/Y9k+eq0wb5579FpluK9eKDnJ2+QAwEPLqw7RiupD3TjX/5Z8vphzzfn0AAAAAICdtb9OzAptkhGtc9cfXz9dYV5DAkhT9hS4h9ec5cZWLK78nLeca+prAIAPowEJAHrB7qx2WVmlim/v2HHwz+LTVBfN9SgzAPCOPQHOnn7ULtFoKDtjlRtzBBsAAAAA4OOmjNsyWjeofZdffSxP/yo+zcPMAMA7r1YcqQ0Nw9zYqN0uw0g619TXAAAfRgMSAPSi4ogtXpZU0Ig7163JTD2xfppHmQGAd+aWHq+Klv5uHN3klz+Ymn5k4wg2AAAAAMDOdn6dGPA1yFeVcOP/lJykbS1FHmUGAN5oTWTor+vPdOOcSFj+eMeEOOprAIAPowEJAHq4D485zSnaqMMzNrnxS+WTVNww2IPMAMAbDbFsPbXxdDeeMmSlgv5KBUIt7lpyp+lxAAAAAADs/Doxq6hcycqoCjKanThhBfTndTM9zA4Aut7Tm05VXTTfufYbSeXX1Sun/2b3ceprAIAPowEJAHo4e5eBmQy48ahTntDYwQs1KLvGiS35nDOa26ZGA0Cv97f10xROZDnXmf6oTh+2QIec+Vv5AqnpcLZkNMfDDAEAnWXt2rU64ogj9Otf/9rrVAAAQA+TiOa617n9SzTi9N/qskMWuGtv7Rind6vHeJQdAHSt7eE+er7kZDc+a+QSDZj4pIpGv+OuUV8DgN5r7T7W2GhAAoCezvJpx5qOSR+2teYOXTBmbkdcP1KvVx7hQXIA0LU2Nw7SwrJj3PicUYv1Uk2zDKOjC7O+dIKiTR3HswEAeodEIqHvfve7isc7Gk4BAAD2VP2WoxRtLnRjf6hVcf+7GpNf7q49vHa2kiZvqwDo/f6ybqbiZtC5zg+26LC+r6jB3+A+noxlqnrDKR5mCADojjU2nikDQC+wY/VUbVj4VYVrhjlxfdzQ/Or1Gpq3cZcXDJFE6gUDAPRG9qS3R9bMdia/2fIz6vRB5E2Vhg0njjYXqeS1L6h0yaWSUmsAgN7jj3/8ozZs2OB1GgAAoIeKh/to/bwbtX3VVJmJ1LTxRVVSbm7HJr+y5gGat/VYD7MEgM73fs1oLdl+uBuPLFqkf1ZEnXqaZRmqKT5Oa+fconDNCE/zBAB0vxobDUgA0Eu01g7XxkXXa+uyCxVvzVXCfjEQmmfvRXAer4kU6N+bJ7v3R+Mdx7YBQG+wZPt4raob7cah7PlqNZNKxjO07f0ZWj/3RjVWjKf5CAB6oXXr1un3v/+9vva1r3mdCgAA6MGsZIa2r5qudXNvVv3W1DTxBmurcjLfd+/5+8apaoqljv0GgN7GnvL2yNrZbpwR2KZGY4VTT2upGqmNC76m8uXnK7nTsZUAgN5j3X7W2GhAAoBexae6kmO0bs4tqlp7qgK+WuVlv+0++szmyapqLXCuQ8GEh3kCwIEVTQb0yNqZbpyZsVnZmWtUt+Uop3BcteZ0WW1jowEAvXMs9CmnnKJzzz3X63QAAEAvEA8XqvTNz6v4pS+rtX6QCvMXylDqCIrmeLb+tmGq1ykCQKdYWHa0tjQNcuOi/LmKt+apdMklKn7pWrXWD/U0PwBA966x0YAEAL2QmcjUtvdmO2Oj/S1l8hlhZ90+s/lHK2eoKZLhdYoAcMDEEn498MHJqokUtq2YyrbeUfGL12nr0kuUaGu8BAD0Tg899JC2bNmiu+++2+tUAABAL9NSdZA2LLhBlSunKC9rqbs+b+txWriVN+EB9C6rqwv1yNppbpwVWq2G4tHOhuf60qOYKg4AvdxDB6DGxvk7ANCLxZr7qfS1y5Q3tkJG/2xnrbRhgr7xn6Q+N6pUs4/tmI4EAD3V1/92sWoHHOzGRnOtSlZ+TrLotQeAzhbKqdORl3xvvz5H9V9HSuqzT3/XPo/+t7/9re68804NGjRIZWVl+5ULAADAR1h+1RafqIbysPKOa5Yp+9ghnx5eP0OLXpR+/KVHvM4QAPbbL5+5QCty/IqbOW0rCdUvH6lond14BADo7vW17lJj410ZAEgDTWsHy2c1uHFz5hg9+eoUT3MCgAOlJmuoLCs12c1QRI0fDKb5CADSQDKZ1He+8x0dc8wxuuSSS7xOBwAA9HLJSLaiJR3TP6Lx0VpZM8bTnADgQJm36jiFzfEdC/UNita1TxsHAPRmyQNYY+OdGQBIC4ZCsTVuZAXy1JqbmogEAD3ZurrhUm7HEWvZvpWy4oyDBoB08Kc//Unr1q3TrbfeqtraWudPY2Oj81hra6sTm6bpdZoAAKAXiVf7FApucePMg5KKm35PcwKAAyHzoISk1M8zv69RZlWz1ykBAHpgjY0GJABIE75ok7JCa904MTigcCLkaU4AsD9My9DDa2e7cdBfpZBZ7GlOAICus3jxYsXjcV188cU66aSTnD/nn3++Wzix44qKCq/TBAAAvYgZD6moYK69vc+JfZmGXig5yeu0AGC/LK86RIGi1M81W2H+Apnx1LRxAEDvt/gA1tgCnZwrAKCbMBMhFeXPV3nVwc6PfyNo6J/FU3TFYfO9Tg0A9skrFRO1sWGYGxfmz1O8msZKAEgXt99+u7sbq111dbVuu+02ffazn9V5552n/v37e5YfAADofcxkhkLBbcrNWqHm1qOdtX8UT9GUoStVGGJaCICex57i9uiajg1+oeBW5WS+LzNxuqd5AQB6Zo2NBiQASBPJREjBQK3yc5aosWWys/ZCyYmaPuxtDcmp9To9ANgrrYkM/XX9mW6cFVqv7MyNqk1M8jQvAEDXOeKIIz6yVlZW5nwcPny4Tj75ZA+yAgAAvZrlk5kIqjBvkVoih8uyQookQ3pi/XTdMOFZr7MDgL02Z8sJqgj3c+Oi/DkyjNT7CQCA9HDEAayxcQQbAKQJM5Eamdon91X5FHauE1ZAf147y+PMAGDvPb3pNNVH81KBZaoof547Dh8AAAAAgM6SjIfk97eoT+4r7tpL5UdpY8MQT/MCgL3VEM3RP4o7Jh3lZK1UKCN1xA41NgDAvqABCQDSRPsLBp8vptzAMnf97aqxWlk9xsPMAGDvVIYL9dzmjo77DLNYwUCNe9wkAAAAAACdpf11Z37OUikWc64t+fTwmrNkWR4nBwB74YkN0xROZDrXVtJSYd5C9zFqbACAfcERbACQJnZ+wZCd+Z7qtp0hf16qKvLI2tn6xcm/U8BnepghAOyZv6yb6Uxws+VnNMsXed99jPHQAJDehg0bpnXr1nmdBgAASIMam2EkZTRsk9V/pBOvqx+h17ZN0KlDOl6jAkB3tblxkBaVHe3GyaqwAsOanWvL9Mky/R5mBwDoqTU2JiABQJpIxlNHsNkCobCiJUk3LmseoHmlx3mUGQDsufdrRmvp9vFufOnBi5SRlZp+ZDN3+lkHAAAAAEBn1tgyfFs1se9GN35s/QxFEkGPMgOAPWNPa3OmtrW9TTwwq1aBcOUuR01KhocZAgB6KhqQACBNmPHUKFVbICOiQ079pU4Y+K679veNU9UYy/YoOwD4dEkzNdK+3ci8bXqnZYWyi8o77tnpZx0AAAAAAJ1ZYxt8xEKN6jtHPiO10a8mUqBnN0/2MDsA+HRvbj9cq+tGufEpQ+dp5EmPuzH1NQDAvqIBCQDSRGvDIEUaBrhxMKtZBXkLleFLnVXfksjS3zee4WGGALB7C8qOUWnzQDc+atB/VZ36EeZIRLLVvGOMN8kBAAAAANJCfenEXeL3m6p16pC33PjfmydrR2uBB5kBwKeLJgP689qZbjy+cJM2RNbK8JnuWsPWIz3KDgDQ09GABADpwvJr46KvaseaKTKTqfOb17c0aUif19xb5pcepy1NHU1KANBdNMWy9OSGqW48NO8Dvdtc6sZ1JZO0fv43laDICwAAAADoRPVbJ6r4xa+otW6wE5syVG6+rJA/7MQxM6jH1s3wOEsA+HjPbT5F1ZE+zrUhU/GMOWpKpo5bi7UUaMubl6ryfX6GAQD2DQ1IAJBGzERIle/P1Pp5N6mxfGxqLeNN+f31qWv59Ih99rPlcaIA8CFPFZ+upniOc20oLiNzgXMVrhmmjQuv19ZlFysRyfc6TQAAAABAGmipHq0NC29Q2dufVSKarYQiysl5yX38jcoJWlU70tMcAeDDaiL5embzqW6cm/224r4qmYmAtq+aqnVzb26bfpRqSAIAYG/RgAQAaSjW3Fclr1+hTa9cqVhTgYry7DfyU96vPUhLtqeakwCgO9ja3F9zthzvxvm5b8iKJ7V12YXauOh6hWtHeJofAAAAACANWT7VbjpB6/57q6o3nKTczHcUDGx3H35o9WwlLd7EB9B9PLz2TEWTGc61z2hVn7yXVL/1cKfxaPuq6bLaHgMAYF/RgAQAaax5+6HaMP+bql83UqFAx1FGv/5gllY1BD3NDQBs5S0+3bN8tiyljo70+xoVLze1bs4tqis5hqezAAAAAABPJeNZqlhxjjYsuEFZyffc9a3NQ/TAB0crHE+9ngUArySShp7YNFxLKie6azmB5Sp55fMqffNyxcOFnuYHAOg9eMcGANKcZQZUs36y6lcOUvvZa9FEkX75wYn6yX+meZ0egDTWmpTu++AQ1bYe7K5FNgdU+d5MmYlMT3MDAAAAAGBn0cZBKnv1LKml2V1bum2afvAGR7EB8Nb3Fk7Q85vP6lhItKr85dPUUjXGy7QAAL0QDUgAAEe8Llexyo4dWQ3NU/RW+TBPcwKQ3upjftU0znLjRKPUWlrgaU4AAAAAAHwyQ02rC+0df05kmrnaET/K66QApLmK+CjF4kPduGVNnmQGPM0JANA70YAEAHBFt/hlKOZcW1aG1LfI65QApLEFpScqkezrxpFiuzBieJoTAAAAAAC7Y0UMWfUNbhxOTFBFS8drWwDoSq2JDEX8h7uxL1qrZD1vDwMAOge/YQAALituKMt4t2Mht1AbG4Z4mRKANFUfzdHc0ilunJ3xvsxmnroCAAAAALo/syosv6+pLfLr0bUd030BoCv9q/g0WUZWW5SUr6HC44wAAL0Z7+IAAHYRSm5WwF/jxn9a/RlZlqcpAUhDf9swTdFkpnNtGFHlBZd4nRIAAAAAAHvEjGWoMG+hGy+vOkwrqg72NCcA6acyXKjnS0524/ycJbIinqYEAOjlaEACAOzCTARVlD/Pjdc3DNfibUd6mhOA9LKpYbAWlR3txn1yX5XMpKc5AQAAAACwp5LxkHKy3lNGsNxds6cgJUzekgHQdf68dqYSVsC59vmanRpbMpHhdVoAgF6MZ7sAgF2YiZCyQuuVGdrorj22boYiiaCneQFID/bEtYfXniWr7WlqwF/r7M4yKY4AAAAAAHoI+zWsYVgqyp/jrpW1DNC80uM8zQtA+ni3+iAt2zHejQvzFsnnizr1fwAAOgsNSACAjymQSEV5cyXLdNZqo/l6ZvOpXqcGIA28UXmE1tSNdOPC/PkyjCTFEQAAAABAj9H+GjYzo0w5me+563/fOFWNsWwPMwOQDpKmT4+sne3GQX+lcrNWOtfU2AAAnYkGJADAR0ZE2zKC1cqwOqYgPbf5FO0I9/EwMwC9XTQZ1F/WzXDjobnFyg6tda6TcSYgAQAAAAB6zgY/yzKc68L8hcrwxZzrlkSWntww1ePsAPR287ceq63NA924qOC/zlQ2GzU2AEBnogEJALCLnXdA5PhWKi/Y4lzHzKD+sr6jMQAADrR/bz5F1ZFUo6NPpo4ZMteZyGZjdxYAAAAAoOcw3KPEA/5GTR2+2H1kwdZjVdLU0RgAAAdSUyxLT27saHQ8ceD7ygqVujE1NgBAZ6IBCQCwi51fgBQMXq2D+r7kxm9WHqFVtR1HIwHAgVLdmq9nNk1247F939Kq5h1uTHEEAAAAANCTmG1Txm1liTdUGKpLrcunR9bMlpUaRgIAB9TfN56h5njqqMegL65YxoJdHqfGBgDoTDQgAQB2Ea4ZJsvs+PVQr3c0ILvSjR9Zc5aSbSOkAeBAeWz9DMXM1O7Q7EBYTYGXdvlZ01JF8yMAAAAAoOdoqe54HdtsJtWvYL4bf1B7kJZuH+dRZgB6q9Km/pq39Tg3Hl34umoTjW4caeivZCzLo+wAAOmABiQAwC4iDYO16ZWrFGkY4MSGYSoje677+OamwXqx7GgPMwTQ26ytG6HXth3pxn1yX5LfF3Gu4615Kl1ysRrKOh4HAAAAAKC7K3v7AlWtP8Xd6BfzrVGfzBL38T+vm6lYMuBhhgB6E3uq2qNrZ8u0/E6cFWhQJPi6+3h96QRteuUa54hIAAA6Cw1IAICPaKkao/Xzv6HyFZ9RMpapQLBE2Zmr3cef2DBNLfFMT3ME0DuYlqGH18x242Bgh4KZy2Um/dqx9jStm3OL6ksneZojAAAAAAB7yz7maNvKz2j9vG+qqfIQGYaUlWtv8jOdx3e0Fuk/JSd5nSaAXuLtqsP0bs3BbpyTu0A+I67WusEqfunLKl1ymRKRfE9zBAD0fjQgAQA+nuVXzYZTtHbOLaopPk59cu2zohPOQ42xXP1l/RSvMwTQC8wtPUrFjUPduCh/npq2Har1825U5XuzOJceAAAAANCjRZsGaPOrV6rktS9I0Zhys99xH3uq+DRVt+Z5mh+Ani9u+vXg6lluHAqWKmQUq2z5Z7Vh4Q1qqTrI0/wAAOmDBiQAwG4lo7kqX36+Sl66XNnGKnd94dYT9cTmfookGNmKj/fYfOmHj6XG/wIfZlrSwsqQHl033V0L+Tepculklbx2hWLN/TzNDwAAAACAA8dQY8V4rZ97o2Kllgyj7dhxM6Q7lp+p4mav80N3VdMgXf0zac0WrzNBd7U9YujOd05SbaRv24olX0OZ1s+9VbXFJ0gWbwUDALoOv3UAAHskUj9Ela8dIyXibSt+/bdkln66zi6WeJwcup0X35Gu+pl05yPS75/zOht0R38olh7fMEVJs22np2WqZtkYNVUe5nVqAAAAAAB0CssMqnrNKYqW+t21quaj9MCaYVpa42lq6IYSSenSe6VH5kqf/YFUT6MaPqSkRfrJ6lxtqOk4rSBZG9P25acrGcv2NDcAQHqiAQkAsOdMn1qLM92wNXqoKpsPUWN7TxJgv/CtlC65RzpjkvT186QbfyMtfs/rrNDdFDf1VWPLiW4cLQvIDAc9zQkAAAAAgK4Q2ZKtZLgjrmk8S8XNvF2DXX33IemlFdJDt0rVDdLl90nJpNdZoTvZ3CLVNk2TZYWc2EpI4fW5XqcFAEhjPKMFAOyV+A6fko0dx67VNs5SOMGvE6SEI9L5d0p52dKTd0i//Jp0yhHSRXdLZVVeZ4fudPza9vqZkgJObMVNRbd27P4EAAAAAKBXswxFN6VeE9ti8WHaVD/B05TQvTz5onT/U9LPr5O+/Bnpb3dIc5ZJ//NnrzNDd1LWPETNrZPc2K6vWfGO2j0AAF2Nd4wBAHvJUGRTR6NAItlPL5af4GlG6B4sS7r2l9K6rdKzP5T6FkjBgPTUnVIoKF14lxSJeZ0luoPlVWPUGh3rxvHyhJSkOAIAAAAASB+JOp+MaL0br95xploTGZ7mhO7h3WLp6p9Ll0+XbrootTbzOOlH10j3/lV6+lWvM0R3qcW+XjbbqdfbDLNFsXLe9gUAeIvfRACAvZZs8ikruNqN5285XQ2cKZ32fvVP6fGF0sO3SRPHdKwPKJSevjtVPLnh/6VeHCN9JU2fHls3y40zghWKVXbs+gQAAAAAIF346irtV8rOdTSZr6c3nep1SvBYTYN03g+kw4ZLD94iGTvt17r9MuniKdKXfiqtLvEyS3QHr1ceoarwSDfOiKx3pqsBAOAlGpAAAPskN7BMhpEaZxNJZunJDVO9TgkeevEd6bY/St+6RLr0Y74Ujj1MevBW6eE50u+f8yJDdBfzth6r8paBblyUP0dmIuhpTgAAAAAAeMGMSPk5y9z4+ZKTtT3cx9Oc4J1EUrr0XqkpLD1zj5SduevjdjPSw9+WRg+WzrtTqm/2KlN4LZoM6i/rZrpxZkaxjGijpzkBAGCjAQkAsE+MZEIFOYvdeOHWY7W5cZCnOcEbJZXSJfdIZ0ySfvyVT77vihnSNy+QbvyNtPi9rswQ3UVTLEt/39jRoZaT+b4yfJWS1XGsIwAAAAAA6cKMh1SQ+4p8vhYnjptBPbZuhtdpwSPffUh6aYX01J3SqE8os+ZmSc/cLVU3SJffJyVTA7SQZp7dNFk1kYK2yFRR/lxZ8ZDHWQEAQAMSAGAfJRMZys99UwF/nROb8umRNbM5XivNhCPS+XdKednSk3dIgU/pI7n/eumUI6SL7pbKqroqS3QXT26cquZ46rhGQ3EV5i9wfpYAAAAAAJCOzESG/L6ICnNfdNfe3H6EPqgZ5Wle6HpPvijd/5T08+ukqUfv/t4xQ6W/3SHNWSb9z5+7KkN0F1WtBXp282Q3zst+SxnBKmpsAIBugQYkAMA+MRMh+YyECvPmu2ur6kZryfbxnuaFrmM3m137S2ndVunZH0p92zfd7EYwkNrFFQpKF94lRVKn+CENbGkaoPmlx7lxQe5rCvgbnd2eAAAAAACko2Qi9Zo4N/sdZQQq3fWH156lpGV4mBm60rvF0tU/ly6fLt100Z79nZnHST+6Rrr3r9LTr3Z2huhO7ClpMTPoXAd8YfXJe9mt1wMA4DUakAAA+6T9BU125hoNytnsrttnT0eTAQ8zQ1f51T+lxxdKD98mTRyz539vQKH09N2p4soN/y/VyITezf5v/Mja2c6kNFt+Rr3yc99wrimOAAAAAADSVftrYsOwVJg/113f0jRIi7Ye42Fm6Co1DdJ5P5AOGy49eIv9tbDnf/f2y6SLp0hf+qm0uqQzs0R3sbp2pF6vnODGQ/q8JL+v1blmkx8AoDugAQkAsE/MeGqkq/2iOD9vrgyZTryjtVDPl5zscXbobC++I932R+lbl0iXTt37v3/sYdKDt0oPz5F+/1xnZIju5K0dY/V+TUeX2qCC+fIZcXfcPAAAAAAA6Vxfs2WFSjQ0b5UbP7FhmprjmR5lhq6QSEqX3is1haVn7rE3eu7d37frsg9/Wxo9WDrvTqm+ubMyRXdgT0V7eO1sNy7M3C5/xttuTI0NANAd0IAEANgn0ab+7nXM2K7c7OVu/PSm01QTyfMoM3S2kkrpknukMyZJP/7Kvn+eK2ZI37xAuvE30uL3DmSG6E7ipl9/XjfTjXNCWxT1r3bjaHM/jzIDAAAAAMBbiVi2EtGsjoXMBfK3bdhpiufoHxtP9y45dLrvPiS9tEJ66k5p1KB9+xy5WdIzd0vVDdLl90nJ5IHOEt3FS+WTtLlxiBtnZM+TZXSMlo829/UoMwAAOtCABADYJzXFJ6h6w4myzNRc4D65HeNeo8kM/XX9mR5niM4Qjkjn3ynlZUtP3iEF/Pv3+e6/XjrlCOmiu6WyqgOVJbqTF0pOUmW4vQBipiamtY0Tbygfp23vduzcAgAAAAAgrVh+lbz+RUWbUq+bg4F65eWkjiy3zSk9QWVs3OmVnnxRuv8p6efXSVOP3r/PNWao9Lc7pDnLpP/584HKEN1JOBHSE+unu3Fe5hplhTY514lItkrf/Jzi4UIPMwQAIIUGJADAPrHMgCpWnKsNC76u5h2j5PeHlZ/7ivv4qxVHaX39ME9zxIFlWdK1v5TWbZWe/aHUt2D/P2cwkNrlFQpKF94lRWIHIlN0F3XRXP2jeIob52atVCi4TZGG/tr0ylXa8voXlYxle5ojAAAAAABeCleP0vp5N2rbu7OUjGcoP+d1+X2NzmNJy69H187yOkUcYO8WS1f/XLp8unTTRQfmc848TvrRNdK9f5WefvXAfE50H/8snqKGWG5blFB+3nxZpk9V60/Wujm3qn7rRI8zBAAghQYkAMB+iTQM1qaXv6Itb1yqTGudAv5q97H/ff8smVbbqBP0eL/6p/T4Qunh26SJYw7c5x1QKD19d6r4csP/SzU6oXf4/arpiiRDzrVhRJWf+ZoqVnxG6+d/U83bD/E6PQAAAAAAus1Gv6p1p2ndnFtUv+UIFeYtdB9bUX2oXqk41NP8cODUNEjn/UA6bLj04C12veTAfe7bL5MuniJ96afS6pID93nhrc2NRXq+5EQ3zs9Zokh1X62f/w1tW3m2kvGdjnEEAMBjNCABAA4AQw1lRzq7tXz129zVbS3DdMeKidrS4mlyOABefEe67Y/Sty6RLp164D//sYdJD94qPTxH+v1zB/7zo2vVRKVfrhmq5Ts6ZohnRDdpw7zrVb3hFGfEPAAAAAAA2FUikq+yty7StjdOUcDY4a7/ftUs/bfCr7jpaXrYT4mkdOm9UlNYeuYeKTvzwH5+u5np4W9LowdL590p1Tcf2M+PrmVv0nyzRrr7nVkyrYCz5jNa1Pj+YG1+9SpFGwd6nSIAAB9BAxIA4ICxkhmqXnmMkg0Jd21j9Zn6f+tDeq7C09SwH0oqpUvukc6YJP34K53371wxQ/rmBdKNv5EWv9d5/w4619u10k/XGnq7Yra7ZkUTqlp2pJLR9lHRAAAAAADgk7TWDlfDisFuHE/209ObT3Beb9dGPU0N++G7D0kvrpCeulMaNahz/o3cLOmZu6Wqeuny+6RksnP+HXSuaFJ6YIOhx4oPUVNkrLvesj5HjeXjnA3BAAB0RzQgAQAOuNYNWbLadmQlzTzVN5+qZbW8KOqJwhHp/DulvGzpyTukQCcPrrn/eumUI6SL7pbKqjr330LnWFJrqKF1gqLxEe5a68ZMieMYAQAAAADYY8kmv2LbO97CqW8+XdWRXH3Q6Gla2Ed/WyTd/5T08+ukqR0DozvFmKHS3+6Q5iyT7nq0c/8tdI4tYaks7Fdt4yx3LdlkKF4Z9DQvAAA+DQ1IAIADzmw1FKvo+BXT0HKymqOFzthY9Bz2f69rfymt2yo9+0Opb0Hn/5vBQGoXWCgoXXiXFIl1/r+JAyscD6qu8Uw3TtQZStCACAAAAADAXouW+GW1TbCxrEzVNZ+hKMew9TjvFkvX3C9dPl26+aKu+TdnHS/96Brpvselp1/tmn8TB479fd4UPlbxRH93LbLJ3hlKjQ0A0L3RgAQA6BTRUr+seHvHUUA1TTOUoAGpR/nVP6XHF0oP3yZNHNN1/+6AQunpu1PFmRv+X6oRCj1Haf1kJc22bjXLUmSTfUY9xREAAAAAAPaWFTMU3doxjro5fIwqmjuOZkP3V9MgnfcD6bDh0oO3SEYXlkhuv0y6eIr0pZ9Kq0u67t/F/quLZKu+6Qw3ju/wKdnIW7oAgO6P31YAgM6RNBQr6zhkPBwZr3eqRnuaEvbci+9It/1R+tYl0qVTu/7fP/Yw6cFbpYfnSL9/ruv/feybHa0Fqmw8xY3NumaZYZqPAAAAAADYV7Eynwwz3BYZWlI+i81aPUQiKV16rz3JRnrmHik7s2v/fbvZ6eFvS6MHS+fdaR/j17X/Pvbdy2VnyLSy2qK4Ips7GhEBAOjOaEACAHSaWEVAwUClGz++fraSJr96uruSSumSe6QzJkk//op3eVwxQ/rmBdKNv5EWv+ddHthzj62bIctKnUXvM8JKVka8TgkAAAAAgJ7NMhRsLXbDHeHRWrJ9vKcpYc989yHpxRXSU3dKowZ5k0NulvTM3VJVvXT5fVKyY78ouqktTQP0XtVxbpxlrXGmoQEA0BPwLjAAoNNYZlBFefPcuLxlkBaWHe1pTti9cEQ6/04pL1t68g4p4PHmmvuvl045QrrobqmsyttcsHura0fqjcoJbtwn7yWZsVQzEgAAAAAA2HdGa6MyMza78Z/XzlQ0aR95ju7qb4uk+5+Sfn6dNNXjcuiYodLf7pDmLJPuetTbXLB79nSzh9ecJavt7Vu/v14ZiU1epwUAQHo0IDU3N+tHP/qRpk6dqqOOOkqXXnqpXnvttY+994knntCsWbN05JFH6pxzztELL7ywX/cB6SQjy6/xhw/RqNH9vE4FPY6hoFGp7MxV7srfNkxTc7yL5w1jj1/gXvtLad1W6dkfSn0LvM5ICgZSu8RCQenCu6RIzOuM8HGSlqGH185242Bgu/KylyuZCHmaF3qeQYMLdPiRQ5Wbm+F1KgB6mDfffFOXXXaZJk2apFNPPVX33XefWlpavE4L6BGorwFd+3x3wsRhyitoP1YH2DNmIqSi/Ln2lRNXRQr1fEnHEejoXt4tlq65X7p8unTzReoWZh0v/ega6b7Hpadf9TobfJJlO8bpg9qD3Lgob4HMOBv8sG/v6Q0fWeR1KgDSsL7WY1vkTdPU17/+db399tv64he/qGHDhun555/Xl7/8ZT344IM67bTT3Hv/9Kc/6Wc/+5lT+Ljyyiu1YMEC3XLLLTIMQ2edddZe3wekiynTxuq8i49RdVWTKsrqFQz6NHJ0fwUCPv2/n89z1oA9KZAU5i1Qa+RQWQqqKZ6jpzaeoavHzfE6NXzIr/4pPb4wtSNq4hh1GwMKpafvliZ/U7rh/0n/963UGfboPl4qm6TNjUPc2C6KGoYpM04DEj5dVlaGvn3nZ5STE1LJ5iq1NEd11rkTNXRYoZa+Way//XmJ1ykC6AHFkauvvlqHH364vvWtb2nbtm36y1/+og8++ECPP/64fL4evfcK6FTU14CueRPwO3ecrbz8LJVsrlZzU0Qzz56gocOKtHxZif76yOtep4gewH59nRFMbfZpCqeOZnp606k6Y+gK9c1s9Do97KSmQTrvB9Jhw6UHb+leNazbL5Pe2SB96afS2BHS+FFeZ4SdxZIBPbp2phuHMrY4G3vDicme5oWeY/rM8Tr7/EnasaNR28rt9/QCGj2mn/Oa+Bc/+q92bG/yOkUAaVBf26MGpGeffVb9+vXT5Ml7/ktu4cKFWrRokX784x+rM7z88svO/wl33XWXPv/5zztrF154oWbPnq1f//rXboGksbFRv/nNb3T22WfrF7/4hbN2ySWXOEUVuxgyc+ZM+f3+Pb4PSBffuPVMBYJ+3fntf6mpMbLLYyNH99Mt35mtv/1liZYv6xj9C3wcM5GhzJwdys99Qw3NU5y1OaXHa8bwtzQst9rr9NDmxXek2/4ofesS6dKp6naOPUx68FbpSz+RjjlU+tpnvc4I7VriIT2+YbobZ4fWKCu02f3+B3anX/9c3fWj8/XQ717Weyu27vJYKBTQRZcdp/t+cZG+f+s/PcsRQPf385//XIMHD9Zf//pXZWamJm3a8T333KPFixdrypTUc1CgO+huNTbqa0DnKijM0r0/v0gP/+FVrXh7yy6PZWQEdP4lx+jHv7pE373pKc9yRM/Q/vq6T+5LCkeOUNLMUjSZocfWnambJv7L6/TQJpGULr1XagpLL/1Syu5mQ+DtZqiHvy2d/A3pvDulZb+zv6a8zgrt/rPlJO1obZ9YY6oof47z34z6GvbErd+dpXg8qTtu+6eam6K7PDZ6TH/dfuc5+vP/vab3VpR6liOA9Kiv7VGb0ne+8x195Stf0Xe/+121trbu0Sdeu3atU1TpLHZBY9y4cTr33HPdNfv/iAkTJmjdunXu2osvvqhwOOyMimpnd2fZRRW7a2vFihV7dR+QDs69cJIsSQ/8ZO5Hmo9sWzZX6wff/pcuv/IkZ2oBsDvtRzAV5LymzECDc21afj2ydrZz5Be8V1IpXXKPdMYk6cdf2ftdXUvXSH9dIP3Po9Ll90m///dH7/vvEulz90jffUh6eI60+D1pW03q2Lc9dcUM6ZsXSDf+JvX30T38s/h0NcZS1SqfkVBh/nznOhm3fz8wcQK794P7ztO9P/j3R5qPbNFoQo8/+qbeXLxRt93BtAQAHy8ajaqwsNBpcGgvjtiOP/545+PO9QGgO+huNTbqa0DnuucnF+rHdz3/keYjWyyW0N//ulQvzV+t7919jif5oefV1/z+sIryXnbXF2+bqHV1wz3MDDuz614vrpCeulMaNWjP/148IW0ok+Yslf73aekb/ytd+kOpsvajDU5X/0y67pfS/X+Xnn1NWrVZat2112C3crOkZ+6WqupTdbxkcs//LjpPXSRX/yrumDzZN/cdhYKVu3z/A5/k4s8fp5aWmP73/gUfaT6ybS6u0g++/U9ddd2pyshgMwCAzq2v7dURbHax491339Uvf/lLjR07Vl4677zznD87SyaT2rBhg9OJ1c4eCWWzR0XtbPz48e7jxx577B7fB6SDM6aP1+03/n2397SGY3rskdd183dm6kd3Pd9luaHnSbTmOx99vrhycxcqUn+hE6+sPkTLqw7VsQPWe5xhegtHpPPvlPKypSfvkAIf8/qjtlHaUC5tLE8VQ9zrcqlup6mtg/r6FYsnVVwhffVDE4qefV36zxKpX4GhrTvsxqNU51FOpnTwUOkQ+8+wjmv746Cij46pvv966d1i6aK7peV/kIb175T/W7CHKlr66oUtJ7pxXvabCgbqnOtEJM/DzNATnHXOkU5z0fbK3R8X8J9nV+rUMw7rsrwA9CyhUMg57unD1qxZ43wcMqTjiFCgO+kuNTbqa0DnmTpjvN5eukkV5fW7vW/+fz/Q6dPHdVle6Nn1NVt21lsKNh+reDJVFHl47Wz9+MSH5DPY6eelvy2S7n9K+sVXpalHf3yTkb0JsL2m1v7RrrXZ60kzdV8ow69h/VL1tStnSrNS7/s5dtRJj8yVRgyQnmgOqjkcd9bt+pldI2uvqbl1tiHSmKFS5of2ENtrf7tDOuu70l2PSvde06n/12AP/HX9mYokU41GhhFRdvZL7mOJVmps2L2TTj1Et39z9+/phVtievIvS/TN22bq/vv+22W5AUi/+toeNyDZZ7aXlJTopZde0uc+9zndfvvt7mhmr9k7q4qLi52z6Tdt2uSMdG63Y8cOFRQUKCsra5e/079/6sl5RUXFXt0H9HajD+6nzZuqnF1Yn2bFW1t02RUdbzwDH2f7qqnKKixXRk69cjLfV1PwOEXjI5zHHl07SxP7FSvoY6uNF+weoGt/Ka3bKr3wI2ljhTT3rVThw75ubzbapcmoKFXIOHyU9NlTOgobB894WnmbL9CX75c++ISTGY8YJS39naXI6D9p02u3a0NJ9S7FlscXSlurOqYi2TuynM89ZNfmpP/9uvSZ70kX3iW98quPFlHQdezv4aSV6lrz+5pUkLvYuc7yW9q88jMeZ4fu7syzjtAdt+3ZUQGvLFqrz195op54dEmn5wWgZysvL9fSpUv105/+VIceeqjOPPNMr1MCekyNjfoacGCdff5Ruvu7z+zRvS/OX62rrz/NOaoN+DiRhoGqWn+K+h/6ugzDVGH+PO2o+4Lz2MaGYXqlYqLOGLrS6zTTlr1Z7pr7pUtOl845KTXJyK15tTUbbd62U5NRUBozJFXrOu+Unepep/1cwwIvq2LDCxr+uU/+9/5wszTr1EHa3vdX2jDvwl2ampatlZ5YJDW3DVrcuTmpvSmp/eOdX5Tu/ot09CHSBR3Dd9DFNjYM0csVk9y4T+4r8vtbnOuG8nFqKE81cgMfZ/zhQ7Rh7Xbn+LVP89aSTbro88d1SV4A0re+tscNSDk5Ofr973+vRx55xNmd9cMf/lBLlizRfffdp7y8A9d9W1VVtdvHs7OznVx2Zufz2GOPOdf2WfIzZsxwH2tpadllTFS79rX2cdd7eh/Q2510yiFa9X75Ht9fXxvu1HzQ80UaBmvd3Jt15Rd+rvciTSrKn6ttNdc6j20L99Of15+gqw57Q/4PTbpB57OPQrObfmxTb92DJqOhqUlJHysz1aXk96WOZJv9nV0ftpuShvRtuzX+vsZPmqXxQ//6kU8TiUmbKj66E+zDzUm2sirpOw9Kv/r6/v4/gb1l/3eYX3awlld1TKUpzFsovy+qI7IzFdpxpJZu83ZaJrq/cDiuluY9mxO/+oNy5w0ZANid+vp6TZ061bm2mx/uuOMOZwcX0N10RY2N+hrgvWgkrob6PfuaX/NBhaaeyRQk7I6hbSs/o/MOrdSWzE0q00ZlhdarNXqo8+jDa6ZrXNFqDcyMfWSaNDpXLJ6aLm4fg/bUy6k/H24y+uzJu26usxuCfB93av3Bx0qrfuqG9oSimcftWjdrZ8S2atDAQg06Ujr1yI/WbbbXtW0y3Kk5ya7Z/XWB1BLZ9f4v/VQ6bqw0fMCB+f8Eey6ckB54r2MTX8BfrfycZSoKSuOsIfr963ajId/U+GQnnXaIPnh36x7da5qW6ut4Tw9A59bX9uoINttVV13lnPV2yy23aP78+Vq1apVToJg4caIOhMmTJ+/28euvv14333zzLmvTpk3TiSee6Iyutos3V1xxhR5//HFlZGQ4R7wYu3nG3f7Ynt63twYbTVqQ8Qc3/lr8Qm2wOC8G3Ze587v7e2Avb0easpJBPfLn76lf9jYdNPF5NeatVEvrUc5jc7ecrjXN7+m8GkMNE5o1Lt/SqBzRkNQF7Iagq2bteuzZbpuMdqftZ8Efb0kVXho/9Drm+LHSbHdktCFZbVu+PsSeZjR+VOrP7pqT2qc0jRu5D7lin5S3SqsbpbWNhnbUBrShcbb7WEawXH2bK7Tttav0eH2q+Al8mvajGPf8L3RWJsCB4VdSczMecuNpRlDpoChk6RcTP/73+p6a9o8D8w1uv25/4IEHFIvFnCYKu35hx3YjBdAddWaNrbfX1940R+rORMfzUaA74ukuOsPvn7pGPiU0fuRiDTj8JW2JjnGeiYYT+fre21N0rF5V9vCYxuVZGpcv5afHU1LPzTpOyg611diGpepsQ/tJ/tTQ6L3+SWA3KM35ifTQC7s+av8bl0+XjvmU0ov969beYGj/2ZPmpG01duPL3uaKfdGalNY1SWsaDZnFmXo161BVtwx3H++Xs0CB94/VG+tn6mXzo03dwIdRX0NvdKV/mS73v/OhGlsf9WZFB6C+dqBqbPtbX9vrBqT2c9zts+rvuecePfPMM7r88st144036itf+Yr217333rvbx8eN++hOkJNOOsn5OH36dA0bNkx33nmnnnvuOV100UXOjq5IJPLRNzHb1tp3e+3pffvrDN9GHWFtOyCfC+gMWYurNeGSy7Vo7qpPvdd+IdOvb47O973XJbmh52hQlpabw5yPO6sOD1b1m9cqZ9AWBQ6JyZJdyM5Udcs0PTvoeanK0EtVhnN802F50vAsSz4akTpNzkHSlQd1xPYMoxX2dN/UhN+9MnniYLVv3Hrk9t3fa+UdqzdW3aTkTru29liOVHiodLz9p23p1d1v7sZ+sJ+qbo8YWtMoNSY6vhkbk8cqnuxoqI6VxvXWxps+dkdWpuKaZJRpkLHTWX6ApIKcS5WXn6mmxo8+B/+wIycNV/K9t3nOgW7NRxXPc/axT2eddZZzPWvWLJ199tn68Y9/TAMSurXOqrH19vraIDXyvADdXl7W59SnMHuPJg0ccdQwmWvf5+sauzBlaJ01wPlj7fR621RAH2w5Q77yk9Vn0lYlMkc46w0tJ2lt/3cUbKjT+w2GDFkakiWnxpYX4LlqZ7r08l3jEvtP7d5/nrF1G9S/YLKM6mc163g5fz5R5kGKJg0t3de62GBpjP3n2FS4wZQ2UGPrNJGktKHZUElL6nvbZvYxVVfVcaRNwNyuTYvOVyKS/7GfY6RRqwnGNgX16UdtIX34X2nSxNnna/HL6z/1Xp/PUN++2TzfQLd3mLHD6xTSWsF+1tf2qQGpfdyS/Q/ZO6ruuusuZ4eWfQ6cfT58UVHRvn5aXXzxxdof9v8JdoFk9erVTjx48GA1NDQ4HVr2jq129pn0toEDB+7VffvrYv+7B+TzAJ2mXFo/6gZlZgYVicR3e+uxJ4zWsOo1+lrgjS5LDz1H0rKLJP21zByhZdbIXaa/tVSOVEYwocxRqW7e5tajlZfzlkLBSiduTRpaWS+trKf7qKc4qCWiofknyGhcuvsbA0WKBkfo6ZIa561a9DxJM1v1Tae7cXyH1Lpx1613Q1WvE3ylOt5XqglGhTKM/e/cRy/0wv/q3AvO0+OPfvrziFOnHKKjvnWdJu/zqxcA6cY+7un00093dmrV1tbuV50C6GydUWPr7fW10b46fc1HLQLd3D9/ovMvuUKP/HHxp946ddpYHX37NJ3I8118jHorU2+Zw7XMGqG3zRFqVuoIDDMRUu07Y5R3XFRG0K6xBFTXOEMDiv7uPG43LdnTjO0/HOHUM/znua/rJ5c/7TQgfRpr+M36w4LvqHQ79bWeqqFlspJmvjvFpv6dYTIjHd+rGUpoklHu1NfsP2zuw8cqfkNrD/mKghl+xWO7b047afLBGlm2XBN4Tw9AJ9bX9vuZyWc+8xlnp5Y9Hvq1117TZz/7Wefc+s72wx/+UGeeeaZMc9c3tOyz5m3t59DZO8nsX9xr1qzZ5b72eMKECXt1H5AORsz9o75607Td3pOTG9IXrjxJRb+8pcvyQs/iNyyN9+3QlYG39bvgv/Rk8C+61f+STjWKncdjZX6ZTgHEZqi2cTZH+vVgD/33elkH/UTy7e78NkPWob/RE6//ogszw4FW33SGTCs13cxKSpHNqXnuo40afdX/uh4J/k2PZjyprwbe0DG+MpqP8MnmP63JJ4/Q0GGFu73tgs8dq6EV73dZWgB6luLiYudcevuYqA+z6wP22OidmyCA7syLGhv1NaATLZ6n448eohEj++72tnMuOEqDazd0WVroefoYEZ3p36DvBxbpn8FH9UDgWV3qazuWJGkoUtJxzlo4Ok6t0dHeJYv9klRS28JRWQM/NFLpQ6zcY9SadaRKt7/VZbnhwIon+qix+WQ3jlXYtfJU89G5vg90X+AFPR18RPcG5+hc/yqaj7BbI15+TNd/Y+pu77GnkH/u8uOU/6tvd1leANKzvnZAWqPtscx2Mvb58TU1Nfryl7+sefPmqTMNGTJEpaWlmjNnzi7rDz/8sPPxjDPOcD5OmTLFKZbYXVnt7KLKE088oaFDh+qoo47aq/uAdJA550md0Pq+vnPnZ9S3X+5HHj907CDd9/MLNP7/viVF3Q4SYLf6GmHN8q/TncEF6m8f9mUZimzu2NoXjY1UOHK4pzli3zW3VuqRV++XOeE/snI+5k2F0HBZhz+llzev1qpNz3mRIg6AWHygmsLHuHF0q19WLFUc+VXgWV3gf1/DjAYPM0RPc/AdF+iO/zlLJ5w8xjnadWfZORm6+vrTdO7Ruer/yxu9ShFANzdy5Eg1NTXpySefdCautCsvL3fqEscdd5xycz/6mgborrq6xkZ9DehcB3/3PH3vzlk66dSDP/J8Nys7Q1/68mSdd3I/Df7p9V6liB644e8IX6WuCSxzNvrZ4pU+BZoT7j21jbNkWUzF6al++cwlaii6StaI70i+1AYwl+GXNeAyxQ/5nf7nCY4Z7snqms6UpVTzYCCeVLTU71xf6HtX3wi8puN9WxUyOGoNeyb7mT/pZKNY3/r+bBUWffTI47HjB+ven1+gcb/9hpTk6wpA59bXAntajMjP//gzR9v5/X7ddNNNOvnkk3Xbbbdpw4YNTidUZ/nCF77g7Ar73ve+pw8++EDDhw93doctWrTIOZv++ONTh+MWFhbq2muv1a9//WtnB9aJJ57o/J+0fPlyPfDAA07ee3MfkC76/v4HmnbC6Tronu+roiGpqh1NCgb9GjK0jwYnajTo7oukWg6Fxr7JMeKqsqREjaFh9XUq65OaflHbdKayMtfJZ3QUTdBzrN48Rz+uWaNrZ/1BfUOWjMgmyUrICo1QWH306Mt3anP5p4+eR/dkTyizi5jt/euF0RZtKe/jPp6p3R/bCXys+lodfNM03XLr/1PF5ZeqrLxBreGYiopyNGRAlg5a+Ij8D//F6ywBdGOBQEB33HGHvv3tb+uLX/yizj33XNXV1TkNHD6fTz/4wQ+8ThHo1jU26mtAJ2tu0Jivn65bbvtflV16qcrLGxQOx1RYlK0hA7I1+uW/Kvi9P3mdJXqobKP9dbihUHFciYmpt3viidTmofwcpuP0VD98coZmHv9dnXHkfAWipVJ8hxQolJk5Wu9XrNFjj57kdYrYD5HorhtxB25pUG0i1WyWTX0N+6jf/35bM08+U4f+6Dsqr42ruqpJGRkBDRlaoMHRHRr4g/OcOhwAdHZ9zbDsasABZp/1/tvf/tbpkrLPsO8s9jlz999/v1566SXn3xoxYoQuu+wyp3iyc2HG/p9o79yy/w+qrq7WqFGj9LWvfc05z35ne3rfnpo2bZq0basWDeAJA3qBfoOkSKtTOAH21zfj52mNNci5/lLeMj078UhZRqqpoU/ui+qT96rHGeJAyMookN+f5UxHQs/X0jpOVfWfc+NL1y3XgztSBa8sxfRcRmqXPLBfQllSUT/nOTTQ003bkdrNumj1evVWzmveyCYturdk/z7PHaOkzIOchod99d///lf/93//p/Xr1ys7O9tperj55ps1ejRHkKBn64oaG/U1oAvZxxb0HcjzXRwQb5nD9L3E2c51PzXr2PFleqPvQU7sM8IaOuDX8vuYXt/T+eVXQf5wNbRUKJnsmEiAnsmyDFVUX6d4IlUbH9lSq4wVMS23Rjjxtf43dLH/PY+zRK95T6+lWWpt9joT4MDU2AYP36+6UTrU1w5Eje1A1Nc6pQEJKRRIAODj3R7/jN6xhjvXX/W/rs3js/RGnyOc2FDcKZAE/I0eZwmgnWkFVFF1gxLJ1LSy4bEyfXH5Kn0ncY4TF6lFf8/oOGYDAEADUlc3IAHovaivAcDHW2UO1E2J853rHEX1YO5TumHSBTLbjnXKy16ivgVzPc4SwM6awkerpuFcN/6fNf/V/9WcqNVtm3Vv9L+is/1rPMwQALofGpB6Vo2Ng4ABAF0ua6dRsmEFde6Ot+QzUjuy7LOv6xqne5gdgA9rbDnRbT6yv0tn1C1Wa1tB88Pf0wAAAAAAoPPtfFST/Rq9f7RFB1vL3LWm8PGKxft7lB2AD0uamaprmubGhf41mtBYqYhSxyfaOIINANDT0YAEAPDwjHqp1cpQ32hcffJectdaIkcqEktNSALgrUQyTw3Np7lxbvZyjWqtVasV/NjvaQAAAAAA0Pkyd3otbsqnqAIan3hLfl/7VHGfahtnijMwgO7Brq+ZZk5blNAY/4vOVdjKcO/JosYGAOjhaEACAHg+ASkUN5SX/baCgR3uem3jLOdMbADesndmWW2FEMOIqDD3RYUShlq1U3GE3VkAAAAAAHSpD09Ksacg5SQSKsxf4K5FYgerNXqoB9kB2Fk80VeNLSe4cUHOmyowU82CO08ZZwISAKCnowEJANDlshVzr+0XWKGET4Zhqih/nrseiw9Vc+tEjzIEYIvGhqql9Sg37pP7svz+sPM9azcPftz3NAAAAAAA6HxZH3otbtfYMuM+5WS+r1Cw1F1PTUHye5AhgJ2/D6XU96Hf16SC3MUKJY2PNCB9+PsaAICehgYkAECXyzQS7vVWq48iZkh+U8oKFSsrtM59rK5pukyzY8oKgK5jTyCraZztxgF/tfJz3nKufQm/iq1+Hzv2HQAAAAAAdL6gTPmVdOO15gBnYrFhSEX5c931RHLXySsAulY4suskssK8BfL5YgrFfdpkFimmgPsYR7ABAHo6GpAAAF2uQK3u9XprgK6KXyZ/NOTEqSlIqeKJaeaqvvk0z/IE0llL6wTF4sPc2C5eGkbqe/P7LefrZfNg97F8RT3JEQAAAACAdGU3GhUo4sY/Tk7XotYJznUoo0K5WSvcx+qbpyiZzPEkTyCdWZZPtY2z3DgjWKacrPed643RYfpq4qJd7s+jxgYA6OFoQAIAdLmTfSUapNQZ17Z6ZWnL+jOc62CgVvk5S9zHGltOUjxR5EmeQLqyJ4/ZE8jaZYU2KDtzo3NdV3KUymJD3MeyFdVM31pP8gQAAAAAIJ2d7081MrRbUXGqYs2FznWfvEUyjFQzg2WFVNc0zZMcgXTWGD5eiWTHFPG++XNkGJaS8ZDe2XSmzJ3epp3mW68+RkdTIQAAPRENSACALldktOrB4FO61PeOgm3TjqrWnaaNL16r1roh6pP7qny+5ra7/aptnOFpvkC6aWiZrKSZ3xYlVZg/T7GWAm154zJtXXaxe9+ZvnV6OPh3Heqr9ixXAAAAAADS1aX+lXog8KwONqqcOBHJ0/r539T21afLp1anxtauuXWSovHBHmYLpJdkMlv1Tae7cU7WuwpllKt289FaN+cWtdYPddb7q0l3+Bfodv+LHmYLAMCB0XGwKAAAXSjLSOiawDLNttbqj4mT9IY1WuHqUdqw8GsqGr1cBYcsVl14tnNva3SsWqMHaVxzmUr6xrxOHejV4ok+amg+2Y3zst5S7dqJqlp3qqxkhrM21tiur/lf1zjfDg8zBQAAAAAAR/gq9Rvjac0zx+rh5PFqSGRp+wczVLf5WA2aOFeBjFolkvZ0cUO1DbM1ouARxYOW12kDvVpuxKeS6FRZVqYTG0ZMofhqbVjwNbXWDXPWMpTQpf4Vutj3rjKNhMcZAwBwYNCABADw1BCjUXcH52m5OUy/S5ysUqtItZuOU/3WVuUf1yjTn5rCYp+VvbnfH2R4nTDQy9U1zXCfIhpWVDvePFLxpj5OXKQWXeNfqum+9fLxzQgAAAAAQLfgNyyd5V+j03zFeix5rJ41j1CspUilb3xeuQeVy5catKJofITqE+OVE1zldcpAr1bjH6Dm8DEdC3V1Knn/i+7BNFN8G3Wtf4kGGO2nAAAA0DtwBBsAoFs4xlemPwb/qa/6X1eOojLjWWr6wN6dlRJPDFDTzi/aABxwrdFRCkfGu3F4Y7bTfBRQUpf4VuiR4JOa4af5CAAAAACA7ijXiOmrgTf0YPAfOtrY6qw1bxqiRF3HPbWNM2RaQe+SBHo5y0ptprWnjtnMiKWGVfbUI58OMqp1f+DfuiOwkOYjAECvRAMSAKDbCBimLvC/r0eDf9OJRomSjT7Fqzp+VTU0naGkmeVpjkBvZVm+tuJISrLZULzSpz5q1UPBp/SVwFJlG3FPcwQAAAAAAJ9upFGnnwRe0N2BOU4TRGRTwGmKsCXNAjXudPQ6gAPL3twXjY1y48jmoGQa+qb/Vf0u8C9N9G3zND8AADoTDUgAgG6njxHRtwMvOteRzX5ZydR60spWfdPp3iYH9FJN4aMVTwxy48gmv1Ok/EFgvoYZDZ7mBgAAAAAA9o5hSCf7tugzvtUywz7Ft+20ya95shLJfE/zA3oj0wqorulMN07UG0pUGxprbNc5/tXOcYkAAPRmNCABALqlLCWcj1bUUKys49dVU/g4xeL9PcwM6H2SZqbqm6a6caJaSjakvu+yxNQjAAAAAAB6qnxFnI/RLX7546ldfpaCqmvsaJIAcGA0Np+kRLIwFViWu8GvUGGvUwMAoEvQgAQA6LbHsQXbmpCiZX4VRNtfpKWOiWofGw1g/zU0T5FpZTvXQTOp1k1B97Esjl0DAAAAAKDHyjZizkcrYah/aZO73hKZoEhshIeZAb1LIpmnhpZT3Xj49jqZLam3YbOprwEA0gQNSACAbiu7ffKKaWjalvXueiQ2Rq3RQ71LDOhFYvF+amw53o1nVax2Jo+1y1aqUAkAAAAAAHqenScbh7YlNDxc58a1DfYmv44aAIB9V9c0XZaV4VxnJaMasaXWfSyTCeMAgDRBAxIAoEcUSEbX1GhYtMKNaxtnyrLsEbYA9pU9Say2aZak1PeS39eo0ys27HIPR7ABAAAAANALNvjZm/oU1FVblrpxLDFEza1HeZQZ0HtEYsPU0jrRjS8qf0eJhP9jvw8BAOjNaEACAHRbOx/9FLGCOqt2sXNKvS2R7KvGlhM8zA7o+VqjhygSPdiNC/MWykp2PD30yVRm21GIAAAAAACg58ncqb7WagU1sbFCWaG17lpd0zSZZsij7ICez54iVttob/BLCfirdVblWuf77ePq3AAA9GY0IAEAuq2dJ6+0KqjRrTXKzVrhrtU3T1EimetRdkDPZk8QsyeJtQsFtyon632FFdxlPLTBJHYAAAAAAHqsnSevtL/mL8qfLynpXJtmruqbT/UsP6Cna2k9UrH4MDcuyp+rDMvapcbGBCQAQLqgAQkA0G1lK+Ze2y/YQglDffJelGFEnTXLCqm+aZqHGQI9V2PL8Uok++1SHDEMiiMAAAAAAPQmWTvV1+wNfrZgoFb5OW+6640tJymeKPIkP6AnM80M1TVNd+Os0HplZ250jzz8uO9DAAB6MxqQAAA9YgJSnZWtUMKngL9ZfXJfddftc+qjsSEeZQj0TMlkjjNBrF1O1kqFMsqd63or+2O/BwEAAAAAQM+z8+aiVmUo3HYsVJ/cxfL5mtsesackz/AoQ6Dnamg+VUkzry1Kqih/XurKMtRgZbr3sckPAJAuaEACAHRbOUbHzpB/mEfpoUhqHHR+zhIF/LVtj6TO2LYsj5IEeqC65jNktRVBDCOmwrxFznVN8bH6RbKjMSmb8+kBAAAAAOjRsneqr9muil+qaFORfL6oWw+wtUbHqjU6xoMMgZ4pnihUQ8tJbpyfs1TBQI2S8ZCuT1yscvVxH8uixgYASBM0IAEAuq0TfVt2iV9tmajWusEyjI7dJLZofIRaIkd4kCHQ80Tjg9QcPsaNC3IXK+BvUiKSo8r3Zykpv/vYSb4Sj7IEAAAAAAAHQn+16GCjyo1rlaNt757lXOdmrVRGsKLjscaZsizeNgL2RF3TmZICzrXP16KCtqn9O9ZOUYnVcaRhH4U1ztjuWZ4AAHQlnkkCALqtU3wl+lngOY0yOqYdFb/0FVWtm6zM4AZlZhS799Y1nimzbYQ0gI9nTwqzJ4bZ30u2gL9O+Tlvqm7Lkdqw4OtKxlLHr/VVi273L9Lnfe94nDEAAAAAANgfhiHdH3hOF/lWyq+ks9ZYMV7FL12jSMMAFeXPce+NJwaoKXysh9kCPUNrdLTCkfFuXJj3osxoUKVLLlbVmo7p4mf4Nuh3wX8p34h6lCkAAF0r1ZoLAEA3NclXoT8Y/9Dz5nj9OXm8mhOZzi6t2k3Hqv9Rryui0U4/bdIsUEPzKRqU+YqiQc5jAz6OXRiJxka5cY7vLW166WqFq1NrQSV1oe9dfd7/jrKMhIeZAgAAAACAAyXHiOu6wBLNttbqD4mT9ZY1Qi1VY5zNSH3HLFP2yFUKxw537q1vOkM5We/L72v1Om2gW7KnhKU2+KUEA5UKb8nVljW3yEyEnLUxRrVu8L+mCb5KDzMFAKDr0YAEAOj2/Ial8/yrdIavWI8mj9N/zXGKNg1Q2eLzlDehWkafAue+xuZTlJe9QgE1eJ0y0O2YVkC1TTPc2Ig2aetrsyUrdeTaycZmXRd4U0OMRg+zBAAAAAAAnWWEUa/7Av/VUmuEfp84RRVWgWo2nqRAZYuyj0pKhl+mleU0IfUt+K/X6QLdUlP4aMUTA924eXW+ottnOtcFatVV/mWa5Vvr1LQBAEg3HMEGAOgxCoyIbgws1m8D/9IEwz6f3lDTmn6y4qnHLQVV22ifvQ3gwxqbT1Yy2ce5tixLTR8UOs1HI1SrHwf+o7uD82g+AgAAAAAgDY5kO9FXqoeCf9eX/UuUpZgSzTmKlGa499jHsMXiAzzNE+iOkmam6pumunG8yqfo9j7yydT5vvf0SPBv+ox/Dc1HAIC0RQMSAKDHOdhXo18EntP3/QvUP9GsyJbUBBdbOHKEIrERnuYHdDeJZL4aWia7cbzSr6xwXF/1v64/Bv+pY31lnuYHAAAAAAC6VoZh6nP+lXok+KTO9K1TrMwnM9L+aOqIKYseCmAX9U2ny7SynWsrKUU2+3W0UaYHg//Q1wJvKM+IeZ0iAACeogEJANBjd2ud7i/WtwIvK77Np2SL4T5W2zBbltURA+murnG6LCu1k9GeGBYt8esK/9u6wP++AobpdXoAAAAAAMAjfY2wvh14SUdYlU4zRbtI7CCFo2M9zQ3oTmLx/moKH98Rl/uUHY3pJ4H/aKRR52luAAB0FzQgAQB6tGzZ568ZimzqKJDEEoPV3DrJ07yA7iISG6aWyJFuHC31y0oYyhY7sgAAAAAAQEqW4kpU+5Ro6NjUV9c4Q5bVUXMD0pU9Day2aab7tqoZlaJb/U59zd4oCwAAUmhAAgD0aFmG3YAkJet9ilfvVCBpmirTDHmYGeA9exJYbeNsN/aFTcW2+Xb53gEAAAAAAEjVCQxFiv2pbgvnSPciNbac6HVqgOdao4coEj3YjZ1pYabhNO4BAIAONCABAHq0rJ2muEQ2BxQwk861aeaqvvk0DzMDvNfSeqRi8aFu7C9OSG3HE1IgAQAAAAAA7donJZstPg3dXu+u2/W1RDLXw8wAb9lTwGobZ7nxwMZGJapSb69ms8EPAIBd0IAEAOgFR7ClWBFD07atd2N7h1Y8UeRRZoC3TDNDdU3T3TgrtE6x+sDHfu8AAAAAAID0tvNGpSGlDTKMqHNtWSHVN03zMDPAW40txyuR7OvGk0rKnGlhNjb4AQCwKxqQAAA92odf5J1Rvl5+X1NbZO9Osc/mBtJPQ/OpSpp5bVFShXnzFVbQfZwCCQAAAAAA+LiNSsm4oT65r7hxc+skRWNDPMoM8E4ymaP65ilunJO1UtnNHRP52eAHAMCuaEACAPRofsNSaKcXembSpz55i9y4NXqYWqNjPMoO8EY8UaiGlpPcOD9niQK+BiXld9eyjY5iCQAAAAAASG9ZOx0l1WplKD9nqQL+GnettnG2LMuj5ACP1DVNlWVlOtf2VLDCvIVqtTo2+GVyBBsAALugAQkA0OPtPMmlVUHlZr2rjGC5u2af0W1Z/MpD+qhrnCEpddyaz9esPrmvyoyHdrknkx1aAAAAAACgTbY6NirZE5QNI6mi/HnuWjQ+XC2RCR5lB3S9aHyQmluPdmO7vhbwN+8yYZwJSAAA7Ip3YwEAPd7OL/RSBRJLRflz3LV4or+awsd6lB3QtVqjoxWOjnPjwrwX5fNFlUxk7HIfBRIAAAAAAPBJG/yctdB6ZYY2uut1jdNlmh3NF0BvZU/7sqd+SYYTB/y1zoTxnb8/bFk7Ne4BAAAakAAAvWxE9G8Tk9VcNUKZGWXKyXzPXa9vOkNJM9ujDIGuYU/6sid+tcsIbFNu1grFWvpoyxufd9d9MpWhpEdZAgAAAACA7iZ7p/raRqu/ti67ULJ8KsqzpyCZznrSLFBDyykeZgl0jXDkcEVjI924MH++/R2gbe+dqVfMgz/2+wYAANCABADoBQ41qtzrHcrT1qWfk2UaKsxfKMNI7UIxrSynCQnozZrCxyieGOjGRflznYlgZcvPU6R+6C7fM0ZqAxcAAAAAAIBGGzXy77RZqa7kGNVtOUoZwSrlZS9z1xubT1EiUeBRlkDnM62gapvOdOPMjE3KDq1Va/1gVa09Q3H53ccO2akuDQAAaEACAPQCX/W/rnN9HzhTXWzxcKE2vXq1kuEMFeS8tktzRiw+wMNMgc6TNHdtssvO/EB+q1qlSy9Sc+Wh7vopxibdFbB3LwIAAAAAAKQMNpr048ALGqZ6d638nXNVveFEFeS8Ip8RdtYs2c0ZMzzMFOhcjc0nK5ns0xaZzga/xvLDVbL4S+49fdSqb/tf1PG+rZ7lCQBAdxTwOgEAAPZXlpHQNwKv6WxztX6XPEUrraFq2TFG6+d9U0WHLJF/UIMzItruu7XP7h5Y9Gemv6DXqW+aItNKHTNoKC6rqk7rVt0qM57prI0yap1mvaN95R5nCgAAAAAAuqNJvgo9GHxKz5pH6K/JYxVOZqhixbmqKT5eRUe9pxad6B5PFYkuU2Zoi9cpAwdUIpmvhubJbpwdWKWy189W847UsWv2lLDzfB/oi/7lymmbvA8AADrQgAQA6DVG+2r1M+N5vWaN1h8TJ2u7maeadZMVamxRqO1o7khstMLRscrJXOt1usABE4v3V1P4eDeOVybVsGGac52rqL7kf0vn+FbJb1geZgkAAAAAALq7oGHqYv97mubboIeTJ2ieOVbRxkHa9uoA5R/fIoVCzn21jbM0uN+DztHvQG9R1zjdmfLlMBPa/tpEWfHUW6nHGqX6auANjTA6poQBAIBd0YAEAOhV7MlGpxqbdXywVE+ZR+nvyaMU3ZYtf/+EAgWpgkhd40xlhTbKZyS8ThfYb5aVKvq1n6xrRqVwcZ4MWfqMb7Wu9L+lAiPidZoAAAAAAKAHKTJa9a3AyzrHXKXfJk/RGmuQWtblKOfIVD0tlhis5tZJyst+x+tUgQMiEhuulsiRbty6OSQr7tcQNej6wBs60djCVH0AAD5F6p0qAAB6mZCRdEbhPhz8u073FStS7HcaNWyJZKEaW1Ijo4GerjV6qCKxMW4c2ezXBGubfhf4p24MLKb5CAAAAAAA7LPDfFX6VeBZfdu/SAUNrYpXd3Rg1DVOk2mmJiIBPZllGaptsDf4pSRbDAW2JXWNf4keCv5dJ/loPgIAYE/QgAQA6NUGGM36fmChLmt9R/HKjl97Dc2nKZHM8zQ3YH9Zll+1jTPdONFg6PjqUv0i8JwO9tV4mhsAAAAAAOgdfIZ0pn+DHgk+KXOzJctMrZtWjuqbp3idHrDfmlsnKpYY6saRTX494P+3LvWvVIbR9gUPAAA+FQ1IAIC00M9oUXSLX1bbqWuWlaG6pmlepwXsl8aWE5RI9t2lOGJ/rbMjCwAAAAAAHGjZRlw5kbhiZb5dahPxREdtAuhp7CledU3T3TheYyhZ73NqbAAAYO/QgAQASAvZisuKG4qW+t21ltajFI117GwBepJkctddhrFKn8xmn7IV8zQvAAAAAADQe2UprmiZX2a0fWXX6cxAT1PffKpMM9e5tqd7RTcFnOssamwAAOw1GpAAAGkh04g7H2MVPhnhjrG5NY2znTO+gZ7GnuBlWSHn2jJNRUtSzXVZbV/rAACki8WLF+vzn/+8Jk6cqEmTJunKK6/UypUrvU4LAACgV3LqDknDrUPYWqOHKhw52NO8gH0RTxSqseVEN7Zrx2bEUEBJjl4DAKSdxQegxkYDEgAgLeSorSnDMtSyKcNdj8WHqaV1gneJAfsgGh+s5tZJHfGWoDPhy8YEJABAOlm2bJm+8pWvqKmpSTfffLNuuOEGlZaW6gtf+ILee+89r9MDAADolVPGbfEdPiWbOtbrGmfKsnjLCT1LXeMMSamJR2bMcqfnU18DAKSbZQeoxsazQQBAWjjYqFKRUud2J+oMJWo7ph7ZZ3ybZkdTEtCdWZZU2zBbUupr2GyVYuWpp3QZSmiSr8LjDAEA6Do/+tGPNHjwYD311FPOrqwvf/nLznV2drYeeOABr9MDAADodU70bWm7MhQpTjVu2OLJ/moKH+dZXsDeao0epHB0nBtHSwLOdC/bCb5SDzMDAKDn1thoQAIApIUcI67fBJ/WGb4NqQLJpoBzprctaearoeUUr1ME9khL5AhF4yPc2P5atid7HWlU6NeBpzXSqPM0PwAAukpDQ4PWrl2rWbNmKSsry13v16+fjjvuOK1YscLT/AAAAHqji3zv6nb/IvVVi5JNPsW2d7zNVNd0hpLJbE/zA/aEPa2rtnGWGyebDMW3+5SlmL7sX6Kb/a94mh8AAD21xtbRng4AQC/X32jR9wKLdI65Sr+NTFbZtj4KDU11ITU0narc0LsKZtR6nSbwiUwrqJq6s9qHHznTvAprW3Rd4E2dZmyS0THYCwCAXi83N1dz587dpTDSrq6uTn5/6vgEAAAAHDh27WG6f4NO8W3WE8mj9a+SI2X1kwy/3dSRqeqaszVwwFNepwnsVn39ZMUTA9w4ssmvM33rdY1/qfoaYU9zAwCgJ9fYmIAEAEg7E3yV+m3gX7q6bIkUt1KLhk+lG7+qhvKOsbtAdxKuGabN790oy8h2j2I7s2StHg7+XVN8NB8BANKPXfwYNWqUBg4cuMu6vWPrnXfe0aRJkzzLDQAAoLfLMhK6JrBM/2c9pYFlje56ODFeW1depkSESUjofqxEQNtWzVR901R3LbMqpgfCz+rbgZdoPgIApCX/Aayx0YAEAEhLfsPSBfpAV2xd1rFWGFTZB5dr0ytXKdbQz9P8gHaJaLa2Lr1Ixa9dJ1/fXHf99O0b9PXY68o0Ep7mBwBAd9LS0qLbb7/dub722mu9TgcAAKDXG2I06lfbn1FBpNWJ7Q1S0dBYrZtzq6rWnyzLYscUuof6rUdo7dyb1RQ5RUYwteZPJvXLrc9onG+H1+kBANAramwcwQYASGtnV63WKwMP0ZacIifOPCip5hUHa+38G3XY7F8olFvvdYpIY2bSp7UvfEtmIlNZhyWccea23ERUV5Ut9To9AAC0PVykC+devZ+f41kNzNz/XFpbW/XVr37V2Z113XXX6fjjj9//TwoAAIBPFbKS+srWN3X/IampMoE+lmL5IW1bebYiDQM0/LhnvU4Raa564/GqeOc8+bJNZQ7u2Mx34bb3NDDe4mluAABsPwD1te5SY2MCEgAgrfll6eotSzriXEvBQaZk+RVrZgoSvJWM5TjNR/58U8EBprv+ubJ3lJeMeZobAADdSWNjo66++motXbpUF154oW6++WavUwIAAEgrJ9aWaHzjNjfOPCghGZaijbse5QF4IVI/xD6Azdl8ak/psvWNNuu8be95nRoAAL2qxkYDEgAg7R3RVKkTaze7cWhUUvJbMhMhT/MCzESGWxxpNzxcp5nb13qaFwAA3UlNTY2uuOIK50z6z33uc7rvvvtktL+rAAAAgC5hP/u6estSGZblxL5MKWOY2VbbALxl13kDRZYChamvT9sVpW8pZHbU3AAASHc1B6DGRgMSAABtLziDZmr8ri8ohUYklaRAAo8l4yEFB5ry53UUR67astSZ3AUAAKTm5mZdc801WrNmja688krdc889NB8BAAB4ZHS4VtN3rHPj0PCkksYBOAcE2E/JeEZqKlebsU3bdcpOG1IBAEh3zQeoxkYDEgAAkgZGm3Xutg/cOGOIqUSiyNOcgEQ8NzWRq81xdVs0sbHC05wAAOhO7GKIXRixd2d997vf9TodAACAtHdZ2TsKJeLOteGXAoOyvE4JkJXfV772L0XL0tUlS5ypXQAA4MDW2AL7/DcBAOhlzq94T//uN0GJkF+GT4pkjJe0yOu0kMbCyUnytQ/iMi19acsyjzMCAKD7KC4u1r///W/l5+dr3LhxzvWHffazn/UkNwAAgHRVkIhoetk6vTDqCCcO9vcpGhuqUEa516khTSWSuTL65rvx2B3bNSZc42lOAAD01hobDUgAALTJMhMatqVOJYf2c2Iz2FfhyCHKztzgdWpIQ/FEkSI6zI0zK2IaHG3yNCcAALqTZctSjbmNjY2fuDOLBiQAAICuN3X7ej034Aj5s1NxTeNsDe77JxkGR8qj69U3TZXhTx0IYyWk07ZS6wUAoLNqbDQgAQCwk2FV9do4qL8C+amCSG3jTGWFimUYptepIc3UNs6QM4rLboaLSUVbWzg8FwCAnVx22WXOHwAAAHQveVZM0U0BZR+RcOJYfJhaWo9Ubva7XqeGNBONDVFz66SOuNSvfvFWamwAAHRSjY1fsQAA7CRbdoHE78aJZD81ho/3NCekn9boGLVGx7pxtMSv3GTM05wAAAAAAAD2tL6WqPMpXmu4a3VN02Wa7efMA53PsuwNfrMkpb4Ok61SrMKnLFFjAwCgs9CABADATrKNuJJNPsW2d/yKrG86Xclk28xooJNZls+ZvNUu2WQovt0ujsQ9zQsAAAAAAGBPhJSQIcuZgmS1DRVPmnlqaJnsdWpIIy2RIxSNj3Bj++tRlqFsamwAAHQaGpAAANhJZtsLUHvijJVMrVlWpuqap3qbGNJGU/hYxRMD3DhSbE/kMpRlUBwBAAAAAADdn89I1djMVsOZONOuoflkxRN9PM0N6cE0g6prPNONE3WGEm0TuaixAQDQeWhAAgBgJ4cY1c5HK2YourXjKLbm8DGKxgd5mBnSQdLMUn3TGW4c3+FzJnLZDm772gQAAAAAAOju2usY0VK/TLffI6C6phlepoU00dByipJmgXsUW2RTaoNfH4XVV2Gv0wMAoNeiAQkAgJ0c5avQt/2L1EetipX5ZEbaHzGcM8PtF6xAZ7Gbj0wry7m2J3BFNvtl+GO60r9Mn/V94HV6AAAAAAAAe+T7gYWabGySkoYzabxdODJerdFRnuaG3i2RLFBj8ylubE/hMsM+jTcq9bPA8woYbecCAgCAA44GJAAAPuRM/wY9GvybLjTeU2xTx6/KaGyUGmpP9DQ39F7h5tFqajnOjaNlfk1JbNRffX/X5f53nPHlAAAAAAAAPUFfI6y7gvP108DzGrK9QcnmjsJGVdWFMpMdTUnAgbS98iJZCjrX9vSt7NKos+H0gcCzGu2r8zo9AAB6NRqQAAD4GDlGTNcH3tTvGv+prPqou25PQSp75xwlY5me5ofew0r6tX3NFFVsvUIyUsU4X8TUPZUv6PuBRRpgtHidIgAAAAAAwD452leuPwb+odklq90105+n4uW3qnHboZ7mht6ltW6wNr55g+K+4e7ahNIKPWo86Ww4ZXMfAACdjwYkAAB2Y6RRrx+W/ldG29lrvkypOXq81v73VtVsPF6WxStX7LuG8nFaN+8m1VScqUCfjq+lb5a+omNU4WluAAAAAAAAB4LfsHRdy5s6tqa0Y21QtkrevEKbF1+haHORp/mhZ0tEs1T29nnasPBrMvoNcNcHhxt0V/U8ZRtxT/MDACCd0IAEAMCnGN1apzN3rHXj0PCkTGWr/J3ztGHBDWrrTQL2yta3zteW17+oWEuRMkcn3PVxjZWaXLfZ09wAAAAAAAAOtGtKlyhopmogvqAUGmGqadtYrZ97kxq3HeJ1euiBok19te6/31LtpuMVHCD5czsKtddueUN+UbgFAKAr0YAEAMAeuKzsHeUkUkexGX4pNCrpXEfqhygZzfY4O/REdoHNljHUlC8rtWZP2rp6y1IxVwsAAAAAAPQ2A2LN+uy2D9w4NDgpX5YlywyoqWKcp7mhZ2rePkbJeJbkt5Q9qmPS0XG1W3Rk4zZPcwMAIB3RgAQAwB7IT0R1SfkKN84YaMqfZzrXZiLkYWboqcxEhoyg5UzUajetar0OCtd4mhcAAAAAAEBnOa/iPRXFWlKBz1DooIRbJwH2VvvXTWhEUlZG6i3PgJnUlaXLPM4MAID0RAMSAAB7aNb2NRraWu/GmQfZjSOWkjQgYS9ZluE0rtmTtIxAai0rGdNlW5d7nRoAAAAAAECnyTIT+kLp224cLLIUKDSpr2Gf2F839hStjCGpjaK2sytXaVC0ydO8AABIVzQgAQCwhwKWpau2LHVjf76l4ACTHVrYa/bXjC/XVMagjuLIxWUr1ScR8TQvAAAAAACAznZqTbEObdrhxvYUJOpr2BfOBr/RCRlt73b2iYV1UflKr9MCACBt9aoGpJtuukmHHXbYxz72xBNPaNasWTryyCN1zjnn6IUXXtiv+wAA6WlSQ7mOqSt1Y3uCTTKe42lO3Zlffq9T6JaSsZAyx3QcvTawtVFnbV/taU4AAACAjfoaAKAr3pi6essSN/ZnS1Z+oac5dWfU1z5ZwtdPwb6WG1++9W1nyhYAAPBG26EfPd/8+fM1Z86cj33sT3/6k372s585hY8rr7xSCxYs0C233CLDMHTWWWft9X0AgPRmnyG+vGC4c069LyS1mBOVrzVep9Ut5Gb11yXT/0/BYJbqm7bKskzlZQ9URjBbz758s7bVvO91it1CS/QIBfI7iiNf2rJMQatjGhIAAADgBeprAICuckhLtcbtqNSaAYOc2Nc/T8lkjvz+Fq9T6xZOPOI6HTv+C2poLlck2qCMYI765A3Xlool+s/rt3udXrdgWT6ZBUPduKAprNOrN3qaEwAA6a5XNCDV1dXpf/7nfxQMBhWPx3d5rLGxUb/5zW909tln6xe/+IWzdskll+iLX/yiUwyZOXOm/H7/Ht8HAMCQSKNytkXVMjTTiaPGIYonChUM1CmdHTxsqmacdKf+s/h2lVZ2HFVn69fnEJ172v3auPVlvbriAaUz0wyqKXpyR1wrHd/QMVULAAAA8AL1NQBAVzujdL1WFw2SEZAMv6G65jPUr+A/SndfPu8FlW1/W//37GcUiTW6635/ho4d90V983Nv6Ld/P1VJdUzXTkdN4eOkjJAbH7N5a+869gUAgB6oV/wu/uEPf6jCwkKniPFhL774osLhsC677DJ3zefz6fOf/7y2bdumFStW7NV9AADY+pU2yYy1BYZfdU1nKp1lhYo086Q79ad/n/OR5iNbdf0GPfL8+Ro95GQdNuKjv6/TSUPLZJnKda4tS/JvSsjwOikAAACkPeprAICuNiDerOjWjsbU5vAxisZTE5HS1RdmP6H3NvxLc9+8a5fmI1syGdPSD/6k5169TddduEDpLGlmq77pdDeO7fBpRHN6bw4FAKA76PENSAsXLnRGQ//oRz9ydmh92AcffOB8PPzww3dZHz9+/C6P7+l9AADY8pIxRbd0FEjCkfFqjY5Wuvrc9If0wmvfVzTW9In32Mex/evFr2n6Cd9TukokCtTY3DH9KFbhU07rrrvLAQAAgK5GfQ0A4IUsxRUr98lsbV8xVNs4y9mwlY788iuUkatlqx7e7X0l217X9ro1Gtx3gtKV3XxkWlnOtZWUopv9ztcTAADwVo9uQKqvr9ddd92lL33pS5o4ceLH3rNjxw4VFBQoKyv1RKRd//79nY8VFRV7dR8AALYsI654pU/J5o7ZNakCSY/+1brPQqE8p/jxaZpbq5yz6+2JSemotulMWUq9oWPGpWip3/laAgAAALxCfQ0A4JVsuyZiGYpsDrhr0dgohSO7NrKmi3NP/5XeXv2XPbr3lXd+pc+e/oDSUSw+QE3hY93YnqJlxQxqbAAAdAMdz+q6iaqqqt0+np2drZycHHc0tH190003feL9LS0tyszM/Mh6+1pra+te3QcAgG2Q7Ek/hiLFfuVMTDhr8cRANYWPVn7O20o3jc3le3zv1u1v67CRZ2rl+r8rnUSiIxWOHOHG0RK/lDA00PjkqVEAAADAvqC+BgDoCQoVVlBJxWt8StQbCvSx3A1cWZnr5DNSNbd0MajveC1Yes8e3Vtdv0GGOjZGpgt7OlZt42x3voIZkTNFyzbQqdcCAAAvdbsGpMmTJ+/28euvv14333yzFi1apBdeeEF/+ctfPraw0c6yLBnGJz8Ja39sT+8DAMB2kf9dbbT6aWnjSMWrfAr2N531usbpyvJvUCDUoHT61bE3k7EtKymf0e2egnRqYcRMZKi67hx3LdliOBO0sgrLdV3zm57mBwAAgN6H+hoAoCfIMhK63f+ifuw/RZHiTOUcnXDqaclkH9XWTlffwvkyfKmaW7qw9qLKtjf39pYaW1Pj0YrERrtr9vQsQwld7V+uMUaNp/kBAIBu2IB077337vbxcePGqaGhwRkNffbZZ+vggw9WbW2t81gsFnM+2nEoFHJ2b9k7uiKRyEc+T/ta+26vPb0PAABbrhHTvcE5WmqO0G83n6LmoiwZfvuFf6Y2fXCr+m1q0jVZi3Vo1hZd5z9LwawmBTKbUh9DLZLRuwoEedkD9/jeIf2P0t+e+pvqG45Sr2FJiVi2EpE8JVrzFLc/RvJ0b/xlPdw6RRsGDFDWoUn39kBxQjf7X9fM5nXy97KvBQAAAHiP+hoAoKeY4i/WJKtMj0aO08Jthyk4JFUnaWo9UdsXn6LZyVW6MHuJvhZor681unU2X6B3HblVtaNBwwYcrXVb5n/qvQW5Q2VYIdVt6UX1NbvElvS7dbV4q/0xXw8m/qP54Ul6KnGMAsdIvraTXhMNho6v2aLrA29oMBPGAQDoFrpdA9LFF1/8qfcsXbrUGSX9/PPPO38+7KSTTtL555+vn/zkJxo8eLBTULGLJxkZGe499pn0toEDU2+Y7ul9AADs7ARfqY42y/TDihlaNXyIs5YxxNS2yj66J3yujouUqsUaod4u1txfQ/pPVEXVu7u9LzMjX0W5Y/X+/NOVDm7T52T5pdxRHQWxAdWN+nn4OeX6U2/sAAAAAAca9TUAQE+Sb0T1zcBrOqN8o+4ZMEtmwOds9MsYbek/647UK02HqlWZaq1Tr3bvexv0kz9ev0cNSKcddZP+75el2rrsEvV239IXVKl8ZQxLypfVtsHPsnRdyRs6K7jW6/QAAEB3bkDaE2PHjtUjjzzykfU//elPeu2115zHBgwY4KwdfvjhzvjnNWvWaOLEie69dmybMGHCXt0HAMCHBQ1T36tcqBsGXKT6ULYzKjrzoITCHwT0Vho0H9l+ftcy3fHLn+pP/z5HSfOTd5+dferP9K8/b1e6sGQoNCIhX9t7L34zqbvK5jkTtAAAAAAvUV8DAHQ3E8xKfalsmR4ZdaITBweYilWYamr65GNCe5NYa1JmZKDGjpqttSVzPvG+AYWHafiAU7V82YtKB3bzkRG0FBrRMV182o71OitC8xEAAN2NTz1QQUGBTj755I/86d+/v/O4fW2PjrZNmTLFGRf92GOPuX/fNE098cQTGjp0qI466qi9ug8AgI+TaSb0pa3L3DhQaClQlD5Ha1Vua9ALT4Z15dlPq0/e8I88nhXqo4unPajqzQdrwZzVShe+LEuhIR3Fkc9u+0CDooyEBgAAgPeorwEAuqNZO9ZoaGu9G2eNSThbvNLFt659RWccdbeOG3+VDOOjb+EdMmyqLj3zMd123ZtKJ5mjE85ULFt2IqbLy5Z7nRIAAOgtE5D2RmFhoa699lr9+te/dnZgnXjiiZo3b56WL1+uBx54QH6/f6/uAwDgk5xas0lzB47TurzUsQL9D2rRtrpcyTKUDub8e622bByiG777T0XNcpXveEdJK6FBRYerIPtgPfVIhV6a39GklQ6GHtSgBl+2c10YC+uCit0fUQcAAAB0R9TXAABdJWBZumrLUt07dqYT+/KkfgPCqt6Ro3Tx1c8v1M3fu0rXX3CltlWvVH3zVuVk9tWwAceqbnuevvb5lxSLdWx46+0ychMKDuxoQru4fIUKEhFPcwIAAGnagGS74YYblJWVpccff1wLFizQqFGj9Ktf/UqzZs3ap/sAAPg4dpvR1VuW6PYjPuvELVkhZQwxFStPnyL76lUVuuELFcrI8mvChHEKBANa/UGFmhq2Kt0ECk01FKWaj2xf2Pq2skx71x4AAADQ81BfAwB0lUkN5TqmrlTLC0c4cXK0T6qxpGR6bPKzPfCj15yPw4YXavSYE53p4xvWvaX0YynTmYKVmgY1pLVBs7enjnYFAADdj2HZ25HQKaZNmyZt26pFA+JepwIA6EK/OWiyXup/qHNtJaTmt4Oy4ulTIIHzDEs5R8flb+s/OqS5Sj9a9XzPPPsWALBPpu0IOh8XrV6v3vyad3ttvQ6bcd5+fZ5185/VwKI+WrRo0QHLDUDvQX0NANJTRWa+bp5wvhK+1Ma+6FafoiVpsaceOwn0Typ7bMe0p++tna9jGso8zQkA4EGNbfDwXls3mnaA6mvdpcbG+2AAABxgl29drsxkqjhuBKTQyPQZiYyUjMGm23yktslYPOkCAAAAAADYM0MijTqrcrUbZww1ZWSynz6t+Cxlju6oq06q30rzEQAA3RzvhQEAcIAVxlt1UflKNw4OMuXLMT3NCV3HCFq7NJ2dVr1RhzZXeZoTAAAAAABAT3NRxUoVxFuda8MnZY7maPt0EhqelC+Uuvabpq7csszrlAAAwKegAQkAgE5wduUqDYg0OdeGIWWOsRtS2KWVDuzmI3vylS2YTOgLpW97nRIAAAAAAECPk5OM6/Nbl7txsJ8lfx82+aUDI2QpY1jHf+vZ21drWKTB05wAAMCnowEJAIBOELTsXTlL3ThQYCnQjwJJb2dPurInXrU7s3yt+sbDnuYEAAAAAADQU51RtUEFzR21lcyD2OSXDuxpV/bUK1sgntTFO02bBwAA3RcNSAAAdJLj60tl1XUURJwzy30USHovyymC2ROvbGZEmr1trddJAQAAAAAA9Fh+WTphc0lHnGMpOJhNfr2Zv8BUsH9HDXXkllrlJmOe5gQAAPYMDUgAAHQSuw8ltCkuq+31si9Tu4wORu8S6Gsp0KejOBLZHFCB1eppTgAAAAAAAD3dyKY6xas63s4KjUxKATb59eYNfu2SzYZGb6/2NCMAALDnaEACAKAT5bbGFN+2U4FkWFJGBgWSXsewiyMJN0zUG0pUG8pS3NO0AAAAAAAAerpsI67IZr+str4UX1DKtJuQ0OsEB5ny5+60wW+TX9nU1wAA6DFoQAIAoBP1UVjRLX5Zba+TDX/bUWzoVezJVvaEK5s98coujtgzsHxtx7EBAAAAAABg3xQqLCtqKFbW8ZaWfQybL5tJ472K31JoVEfdNF5tKNngUx+DCeMAAPQUNCABANCJLvOvkJUwFCm1G1JSggNM+fMpkPQW9kSr0PCdiiOVPpktPMUCAAAAAAA4EMYZO5yP0TK/zGhqzTDUdlQXk8Z7i9CIpDPdymaZ9ga/gHN9uq/Y28QAAMAe490xAAA60dG+cuejfQxbsqVjHA4Fkt7D3pllT7ayWQk5E68AAAAAAABwYASMto18puEcxeauF1oKFFFf6w18WZYyhnRs2LSnXdlTr2wFRsTDzAAAwN5ItQ8DAIBOsyDjD87H/2wZp0fGn+Rc+/MsBQeaim/3q49aVa8sj7PEvvDnmcoY2FEcmbZ1nW4wXpcyPE0LAAAAAACgV9bXIvV+faPxQtXm5zpx5kEJNdcFJatj4x96Dp9MmfIpdFBCRtvIhIxoQr+v/JcGZLR4nR4AANhLTEACAKCLnN20RsfWbnFj50xzv0XzUY9ltU2yShnS2qDrqt7wNCMAAAAAAIDeLNNI6vbSRW7sy9Iuk3PQs9jNR4FCU8GdJlldV/a6Blg0HwEA0BPRgAQAQBe6snSZAmaqacWXIWUNT3idEvZRcIApf35HceSqLUsVsBj7DQAAAAAA0JkObqnR1B3r3ThrREJGkJpMj2RYyjko5oaHNO/QadXFnqYEAAD2HQ1IAAB0ocHRJp1ducqNM4cmNTar0tOcsA98lgaM7tiJdXTdVh3dUOZpSgAAAAAAAOni82XLlZmMO9dWwNAxo6nL9ETHD90qK7vjrcqrS5byxiUAAD0Yv8cBAOhiF1a8qz6xsHOd9PnkG+11RthboeFJNWVkOtd+09SVpUu9TgkAAAAAACBtFMZbdXH5SjfeMGCAfLkcxdaT2FOrtgwvcuMpVRt1aEuVpzkBAID9QwMSAABdLDsZd3ZptSvrWyR/HwokPYWRaSljWMd/r9nbV2topNHTnAAAAAAAANLNZypXaVBbTcYyDGUelLSvvE4Leyg0MqnWQIZzbU+zunzr216nBAAA9hMNSAD+f3v3ASZVdT5+/J2+jV122WULW2iCgBQFhVhiQyWW2FEREMgviYmJicYUU0z8R2OMvxgTY+IvKiKWWGPsBWtiofeiIGV7g2X77uxO+T/n7O4dVtruMuydufP9PA/P3nfmzsxZPA533nnPewCY4MzqbTKicbcRkyCJHnHDfGLrvIJKbm+RmfustgMAAAAAAED/cAUDMq8w1JXamRIUZzqL/KKBPTEgrqzQf6vLytbJoPaOjvEAACB6UYAEAIBJ/wAvKFxqxI7EoLiySZBEOkdKQFzpoUKxa4pXS6K/zdQxAQAAAAAAxKoptcUyoa7UiOOG+UXsLPKLbEG9GNNm64gGtzbIReWbzB4UAAAIAwqQAAAwybGNVXLq7u1GHFfgF5uTBEnkCkrcCNWpqsPQpj1ydvVWU0cEAAD296tf/UrmzJlj9jAAAADQD1QNy/zCZWIPdizss8eJuHNZ5BfJnOlBcQ4M5UCvK1ou7mAo5wYAAKI3v0YBEgAAJppTvFJcfp8+trk69j5HZFJtoVWnqi4LCpeJg23zAACIKM8995w8++yzZg8DAAAA/Si/pVbOq/zMiD25frF5yNlEJHtQ4oZ15EKVcfXlMnVvoalDAgAA4cuvUYAEAICJ0tua5NyyUIJEbcNmT2C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      "text/plain": [
       "<Figure size 2496x1716 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gpv.plot_2d(geo_model, \n",
    "           direction=['x', 'x', 'y', 'y'], \n",
    "           cell_number=[25, 50, 25, 75], \n",
    "           show_topography=False, \n",
    "           show_data=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb509999",
   "metadata": {},
   "source": [
    "Next to the lithology data, we can also plot the calculated scalar field."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7cb1d1f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<gempy_viewer.modules.plot_2d.visualization_2d.Plot2D at 0x1fe804a1e10>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1040x715 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gpv.plot_2d(geo_model, direction='y', show_data=False, show_scalar=True, show_lith=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "several-artwork",
   "metadata": {},
   "source": [
    "<a id='visualizing-the-computed-model-in-3d'></a>\n",
    "\n",
    "# Visualizing the computed model in 3D\n",
    "\n",
    "The computed model can be visualized in 3D using the `pyvista` library. Setting `kwargs_plotter= {'notebook':True}` will open an interactive windows and the model can be rotated and zooming is possible. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "838f0e34",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-02T12:34:50.923082Z",
     "start_time": "2022-04-02T12:34:50.139508Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\gempy_viewer\\modules\\plot_3d\\drawer_surfaces_3d.py:38: PyVistaDeprecationWarning: \n",
      "../../../../Anaconda3/envs/gemgis_12/Lib/site-packages/gempy_viewer/modules/plot_3d/drawer_surfaces_3d.py:38: Argument 'color' must be passed as a keyword argument to function 'BasePlotter.add_mesh'.\n",
      "From version 0.50, passing this as a positional argument will result in a TypeError.\n",
      "  gempy_vista.surface_actors[element.name] = gempy_vista.p.add_mesh(\n",
      "C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\pyvista\\jupyter\\notebook.py:56: UserWarning: Failed to use notebook backend: \n",
      "\n",
      "cannot import name 'vtk' from 'trame.widgets' (C:\\Users\\ale93371\\Anaconda3\\envs\\gemgis_12\\Lib\\site-packages\\trame\\widgets\\__init__.py)\n",
      "\n",
      "Falling back to a static output.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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gqMfgqPtHQ2A0BEZDABQCh+Y7Qhb2wFf4gETxYpI6ABCTRrsBkHAYJUdDYDQERkNgSIPRDsCQjr5Rx4+GwGgIjIYAvtU++EOHjA4AxMDRbgAkHEbJ0RAYDYHREBiiYLQDMEQjbtTZoyEwGgIjPQRIWu2DNbDI7gDATRvtCcCDYpQxGgKjITAaAkMIjHYAhlBkjTp1NARGQ2A0BEAhgKfpD9/gC1JHCFPeAYDYMNoNgITDKDkaAqMhMBoCQwWMdgCGSkyNunMUjIbASA8BPO1+8oKGWh0AuO2jPQF4UIwyRkNgNARGQ2Awg9EOwGCOnVG3jYbAaAiMhgAoBAg2/Ynf+AsyDoap3gGAGDzaDYCEwyg5GgKjITAaAoMWjHYABm3UjDpsNARGQ2A0BMjf4AsPOzx9Axp1ACBWj3YDIOEwSo6GwGgIjIbAIASjHYBBGCmjThoNgdEQGOkhQHDIn7wAQusM0LQDAHfhaE8AHhSjjNEQGA2B0RAYJGC0AzBIImLUGaMhMBoCoyEACgEaNf1BRmNg+nQAINaOdgMg4TBKjobAaAiMhsBgAKMdgMEQC6NuGA2B0RAYDQFyVvugjeiTGoj07ABA3DbaDYCEwyg5GgKjITAaAgMLRjsAAxv+o7aPhsBoCIz0EKDRkD8xfQP6dwDgkT3aE4AHxShjNARGQ2A0BOgPRjsA9A/zURtHQ2A0BEZDABQCNGr6g4wmDg9gBwDiwNFuACQcRsnREBgNgdEQoDMY7QDQOcBHrRsNgdEQGOkhMODtfngEDHgHAO6S0Z4APChGGaMhMBoCoyFABzDaAaBDII9aMRoCoyEwGgKgEKBn0x//lcAQ2e+/QK4aPHi0GzB44mLUJaMhMBoCwxuMdgCGd/yO+m40BEZDYFCEAD2b/hAPQ/YAQEiICCY5eGYAkN022g1ADo1R9mgIjIbAKKAFGO0A0CJUR80cDYHREBgNAVAI0L/dD7KVaDw4OwBw54/2BOBBMcoYDYHREBgNAeqC0Q4AdcNz1LTREBgNgdEQAIUAMU1//MPzIFPAGLJc5z+YTV1ikHcAIJ4d7QZAwmGUHA2B0RAYDQEqgtEOABUDc9So0RAYDYGRHgLEtPtJDSNc/QRc4sSbPyQ6AHDvjPYE4EExyhgNgdEQGA0BCsFoB4DCABzVPhoCoyEwGgKgECC+6U+tEf2R1gEAhTIDw2g3ABIOo+RoCIyGwGgIUAJGOwCUhN6o3tEQGA2B0RAgfIMvcksdmT3gYTe0ZgCQg2u0G4AcGqPs0RAYDYHRECAVjHYASA2xUfWjITAaAqMhAAoBIof8qTXeD7KS2njodgDgITHaE4AHxShjNARGQ2A0BIgHox0A4sNqVOVoCIyGwGgIgEKAyKY/SCmNMaR3wcDAQN4W4WHQAYAE8Gg3ABIOo+RoCIyGwGgIEAlGOwBEBtSostEQGA2B0RAgvNqHzmGEZ0ERpG+Av2MwbDoAkGAf7QZAwmGUHA2B0RAYDQGCYLQDQDCIRhWMhsBoCIz0EBjAIX88TXxSYwWzSzDMOgDwABntCcCDYpQxGgKjITAaAljBaAcAa7CMCo6GwGgIjIYAKAQGsOkPsp6BAdIBgJAQEWQSTRyNC1eJ2fSHSA3XDgDEd6PdAEg4jJKjITAaAqMhgAlGOwCYYTIqMhoCoyEw0kOAYLsfV1N7aAXc8O4AwMFoTwAeFKOM0RAYDYHREICA0Q4AJBxGydEQGA2B0RAAhQDBpj9I0dDHkA7MCOkAQKJrtBsACYdRcjQERkNgFDAwMIx2AEaTwWgIjIbAaAiAQoDspj+uBTYgQwlhSEOckCp0efJ0oZvCwDCiOgAQ7492AyDhMEqOhsBoCIxwMNoBGOEJYNT7oyEw0kOAmHY//gY3JR0AtNDHahGm+ZgiaObg4SJbMQI7APCQGe0JwINilDEaAqMhMALBaAdgBEb6qJdHQ2A0BEAhQEzTH6QOB0ZuSeNQAhKGK4MzQKKw3b0QNn4STSOmYmQFcDYxnYSR3AGABONoNwASDqPkaAiMhsBIA6MdgJEW46P+HQ2BkR4CFLb7yQ4+eNOcbBOwakRu6JNqxWgHAB6koz0BeFCMMkZDYDQERgIY7QCMhFge9eNoCIyGACgESG36k9qeBtmBDWM1B6sgNt34xCCtf/hNwKSaOdoBQAvc0W4AWoCMckdDYDQEhisY7QAM15gd9ddoCIyGACIEsDb9MZvLkPY0/ttzEYbCWFh1/f799+Mfvo+fPwmx/xDi58Y0E9l2rCbAjMdHIxuCTx0OudEOANaAGe0GYA2WUcHREBgNgeEERjsAwyk2R/0yGgKjIYASAljb/SgqwGvx4SKYzXS4FDFNbWQ1X7/9vP70PUS7IL+oporKr0/3IVzKSbI7DMhWv/jB8PcPgzAbstgoGyUERnsCKMExyhkNgdEQGEZgtAMwjCJz1CujITAaArAQIKbpD1MLvW0XziWVgdkcZ2RgeP2d+8GTu8hG4ekGYJqArBGZjdzHQBYnnv3iB0Lt3z8I9mhPABEWqKzRbgBqeIzyRkNgNASGAxjtAAyHWBz1w2gIjIYAPARIavrDdRHDIL7x/fv334sPXuMy08rY8uvbO6yszLgUUCiOy53ITX+IFcgdAIjIaDcAEg6Y5Gg3ADNMRkVGQ2A0BIYuGO0ADN24G3X5KBgNAUQIYLb7cbWDEXqIYJFnyLdvP6/B1v/gskRBRpmf5ROebgDx0wJoVmC6GbPpD9GC2QGAiI92AyDhgJUc7QlgDZZRwdEQGA2BoQVGOwBDK75GXTsaAqMhgB4CmE1/dBVk8TGb0XBj8EhB1LzBWP8DEcckBflFhdh/CPJzgy5mB0tD9iFAWv/w433AMoQJTIfhavpDzMLVAYDIjnYDIOGAlRztBmANllHB0RAYDYGhAkY7AEMlpkbdORoCoyGAEgJEtvsx28QopuDm4NKISxxuEv71P3BlyAzI9oDfn+5DWv/IUiSx4W7D3+6Hm4m/AwBXNtoTgAcFJmO0J4AZJqMioyEwGgKDH4x2AAZ/HI26cDQERkMAJQSIbPoj64G3jJEFacQWktTadWgfGYZDugEUHhZEZNMf4jwiOwAQxaPdAEg4YCVHuwFYg2VUcDQERkNg0ILRDsCgjZpRh42GwGgIoIcAjZr+1O0eEL/+B917MD55u4RJavr///vHRV/7/+9vu68+hllLFD3aDcATTKPdADyBMyo1GgKjITCowGgHYFBFx6hjRkNgNASwhAAZ7X4spsCEqNvch5kKpclY/wPViUER3CUM10Fq099ZS/HXu6v/fp1jYGBgYjNiE9Ie7QbAA5MqjNGeAFWCcdSQ0RAYDQHagdEOAO3CdtTk0RAYDQFKQ+DQfEcKl8VT6gIk/ZCNufjdw8aneOzscSRNlDKRdwmjmUVSux+0n/jvH2ctxR8vFqOZA+FySMTuunSfkZkFwiWSHJ0QwBNQo90APIEzKjUaAqMhMLBgtAMwsOE/avtoCIyGAJYQoO6QPxYLaCP0+/ffR+8Z3n/EeQMA2daibQ8go+nvqCL26906gg5g4XHZe+cLEysHQZXICka7Acihgcke7QlghsmoyGgIjIbAwILRDsDAhv+o7aMhMBoCKCEwRJv+ED98/fbzOqHj/yEqySMh3YBHr+4TqR2y0P/3+7t/vuwhUgtE2ei6IEg4UJcc7QZQNzxHTRsNgdEQoASMdgAoCb1RvaMhMBoCVAuBQdj0J3W3AOXbf4kMTStjy7tP8d0l/B+82ge+0J9IY9GUjXYD0AKEKtzRbgBVgnHUkNEQGA0BCsFoB4DCABzVPhoCoyFAUQhQq91PamOdoKOJWfGPbAgVt/8iG4uHrSCj/P0P+l3CkKY/roX+eEzDJQXpBoxuD8AVPmSLj/YEyA66UY2jITAKKAejHQDKw3DUhNEQGA0BckKAWk1/uN2U9AEo0QtxANnH/0O0k00K8ov+/v9DgJ/7/98/RC70J88uFh6Xffd+jO4SJi/0cOka7QbgCplR8dEQGA0BmoLRDgBNg3fU8NEQGA0BLCFATNOf8hY5FouxCUFG+kGH5IBlybaXbut/wM5EJwT5RRU4H6iKkHaoP7opRPCZ2Iz23Wdi5uAhQi1CyeguYURYYGONdgOwhcqo2GgIjIYADcFoB4CGgTtq9GgIjIYAcggcmu8Ib2cjixPJJrtpTqT5ZCtjZGD49fvvxQfUP/yHVCfxsf9TFvxOn24AGbcHMDAwjPYE8MfpaE8Af/iMyo6GwGgIUAuMdgCoFZKj5oyGwGgI4AwByJA/ZKwd/zn6OI3ALUFJx4ASvQwMDBAfMTAwsFL7+H/c3iVKxlDiqwz/Z07WD0SpJlfR6PYAckOOgL7RbgCBABqVHg2B0RCgGIx2ACgOwlEDRkNgNARwhACk3Y9DklJhCtvu5FkPtxTOgJgzsOt/IG7AJNWEfqiLfqB1N4CBgYFNKGjPjVej2wMwo4BCkdGeAIUBOKp9NARGQwAXGO0A4AqZUfHREBgNAfJD4OB8R7QmMtlm4TIHMvqOZz4Bl0ZKXIJ1CRP9z/8hyQt87P90xb5I8z8jSRcZike3B5ARaMRoGe0GEBNKo2pGQ2A0BEgCox0AkoJrVPFoCIyGAIEQIH7Un+oNdAIuQ5LGtBpTBEk5lImry/GLWfzSjYtQRYOVGt0eMFhjhlh3jXYDiA2pUXWjITAaAkSA0Q4AEYE0qmQ0BEZDgFAIILf7cTWU0cwgps2NpoVaXCpaPciH/9FCbLQbgBYgQ5E72hMYirE26ubREBhsYLQDMNhiZNQ9oyEwxEIAuelPktOp2AonyV6SFBN05NdvP68/fU+SmYNBMX12CTMwMHBIxI5eIkaLGB/tBtAiVEfNHA2BkQNGOwAjJ65HfToaAtQMAaztfoLNZWQXEKmYSGXIJlPOJt7Swbn9l8gQoNsu4dHtAUTGCBnKRnsCZATaqJbREBgFox2A0TQwGgKjIUBaCBya74hn6y3cLEgbGkLCBQkySFVP0ECaKhha639wBQU9dwmP3h6AKxYoFB/tBlAYgKPaR0NgpIHRDsBIi/FR/46GAPkhgHXUH79xpDboCaonqAC/e6grKySptevQPuqaOVCmjW4PGKiQp6K9o90AKgbmqFGjITC8wWgHYHjH76jvRkOACiGAv91PeYucGBOI3FhMBd+SYsSQXv+D1aN06waMbg/AGv7UEhztCVArJEfNGQ2B4QpGOwDDNWZH/TUaAlQIAfxNf8otgDTrsR6uT4zhxPQciDGHPDXDY/0PVr9DugF0uEuYgYFhdHsA1iigiuBoN4AqwThqyGgIDEsw2gEYltE66qnREKA0BGjd9KfUfaTrh3Q2iNm9ADcbfweDjU/x2NnjcMXDkkG3w4KY2Ea3B9AqBY12A2gVsqPmjobAUAajHYChHHujbh8NAWqHANntfvxtZWo7k2TzIK1/kqYaIFqwdhhe/AA5gOU/94Mnd0Gs4Y5HdwkPjxge7QkMj3gc9cVoCFAFjHYAqBKMo4aMhsCQDwGym/54fE7rXgHcfDyNdTzOI0MK0vRnYGD4+u3n+7dD7/h/MrwM1wJZF6Qq8hguQjvG6O0BtAvb0W4A7cJ21OTREBhCYLQDMIQia9SpoyFA/RCAtPvp1oCmlgcgTX8IictM/LK4dOEShzf9IQqEuMUv3bgIYY8okp7dgNHtATRNWqM9AZoG76jhoyEwyMFoB2CQR9Co80ZDgFYhAGn6E2k6WmOavA4DebqIdCFEGdwKNAdDZDFJgsrQ2v0QE37//vvyxWsIe2SSkG4A3XYJj94eQLtkNtoNoF3Yjpo8GgKDGYx2AAZz7Iy6bTQEaBICJDX9aeIC2hgKb/0TaTx+9Vib/hCTR+D6H4jHMcnRXcKYYTIURUa7AUMx1kbdPBoClIDRDgAloTeqdzQEhlIIDNd2PzwOCA7nw1USZOBp/TMwMIyc7b8EAwqigG67hEdvD4AEOO3I0Z4A7cJ21OTREBhUYLQDMKiiY9Qxo4AmIUBG0x9rYxqrIJqLqaUGzVg8XGJsxKMdqxSeDsDo+h+sIcbAwABZF0SfXcLkbQ9gYGAQZsPl/FFxRAiMdgMQYTHKGg2BYQpGOwDDNGJHvTUaAgwMpLb7adGSHqLxgKcDoKWotevQviHqLzo4m87dgNHtATSN09GeAE2Dd9Tw0RAYQDDaARjAwB+1ejQEaBUCmE1//OvdIe6gZweAGPdAXEVPEk+7H+6M0fU/8KDAw4B0A0Z3CeMJoiEkNdoNGEKRNerU0RAgEox2AIgMqFFloyEwNEIAs+k/ON1NsAOApzeCR4pCzxLsAIyu/yE1hOm2S3h0ewCpUUOq+tFuAKkhNqp+NAQGMxjtAAzm2Bl122gIEBsC9G/306IVTgszMUMQjy0EOwByYorHzh7HNHNUBH8I0HOXMAuPy947X5hYOfA7CVN2dHsAZphgFRntCWANllHB0RAYWmC0AzC04mvUtaMhgB4CxDT9cTV5sYpjFUS3dZjyCXYARtf/UBLzkHVBdNslPLo9gJLIIqh3tBtAMIhGFYyGwGAGox2AwRw7o24bDQGcIUBMux+iGc9im5Hc1ocEDhqJvwMwevw/WnCRxx3tBpAXboNW12hPYNBGzajDRkMADxjtAOAJnFGp0RAYjCFAfNN/MLqeODcNVM8EfwdAiFv80o2LxPlgVBWBEKBnN2B0ewCByKCG9Gg3gBqhOGrGaAjQD4x2AOgX1qM2jYYAhSEwUE3/gWqOUxhcZGjH0wEY3f5LRngSo4Weu4RZeFz23fvByMxCjMOQ1YxuD0AODTzs0W4AnsAZlRoNgUEFRjsAgyo6Rh0zGgJYQmCg2v1YnIJbiLxOAnm6cLuCIhlGBobnP3CaMLr+B2fQUEOCnruEmdiMRrcHUCPS8Jkx2hPAFzqjcqMhMAjAaAdgEETCqBNGQwBHCMCb/oOnoYxrRwF5LsSlC5c4jnCigjCesX+I6aPbfyHhQFOSnuuCRrsBNI1KiOGj3QBIOIySo2AQgtEOwCCMlFEnjYYAyiW+8NYwnDEaQNQNAYKt/9H1P9QNcPym0b8bsOvSfVLXBY0uCsIficiyo90A5NAYZY+GwCABox2AQRIRo84YDQFQCMCH/EEcMEZu9COzwZJEEeTpIsrowa2IoMfhsxkEOwBailq7Du0b3N4dbq6jZzeAgYFhdHsAHRLQaE+ADoE8asVoCBAJRjsARAbUqLLREKBtCCA3/Qm2XIlxCrIhyGxi9NJIDU2dQYnhBDsAo+t/aJQkiDGWnruEmdiM9t1nYubgIcZhyGpGJwSQQwM/e7QbgD98RmVHQ4A+YLQDQJ9wHrVlNASwhwByux+rCkratRAD4ePcEC7dSDrbCwkoCEmqH/F3AEbX/5AanrRQP7pLmBahOrBmjvYEBjb8R20f4WC0AzDCE8Co9wcsBA7OdySvtTpgLibR4iHkO/wdADkxxWNnj5Po+1HlNAkBeq4LguwSHt0eQJOIRDJ0tBuAFBijzNEQoB8Y7QDQL6xHbRoNAUgIwEf9h1ATGeJykkhk3yGzSTKEPorxdwBG1//QJxaIt4We3QAGBgY2oaA9N16RukuYgYFhdF0Q8XE62g0gPqxGVY6GAFXAaAeAKsE4ashoCBAOAXi7H00pZKkMAwPDfzQJKnGp2PjGahREEEKiORmrIJqawcDF0wEYPf5/MEQQVjfQuRswuj0AayxQXXC0J0D1IB01cDQEsILRDgDWYBkVHA0BaoYArqY/xA5IB4BGrX8GBoah0gqHhAZVSJK8jKf1z8DAIMQtfunGRaq4atQQGoUAnXcJj14iRqN4RDZ2tBuAHBqj7NEQoAUY7QDQIlRHzRwNAVAI4G/3g1RQgCFtXAhJgTHYtWI1Fqsgdv0YopToxTCMagL4m/4MDAyj23+pFta0N2hI7BIeXRdEakIY7QmQGmKj6kdDgEgw2gEgMqBGlY2GAAkhQNOmPwnuQFVKZCsc14wEpnZcKlGtxc7DNA27OrJEMQ3HFGFgYCDYARhd/0NW8A+kJjqvC+KQiCVjl/BoN4DUJDLaDSA1xEbVj4YAQTDaASAYRKMKRkOAhBCgc9OfkiY4Cb7CUIq1PY2harALEOwAjG7/HexRiAPQuRswuj0ARzxQWXi0G0DlAB01bmSD0Q7AyI7/Ud9TKQRwtfup3lCmuoFUCoAhaQz+DsDo+p8hGalIjqZ/N2B0ewBS8NOQOdoToGHgjho9YsBoB2DERPWoR2kTAmhNf7KH5Edb9rSIH/yhir8DoKWotevQPlq4atRMOofAkNglPLouiNRUMdoNIDXERtWPhgAyGO0AIIfGKHs0BEgIAUjTH7OJiSlCgqEkKiW7v0GiPYNdOWaYY4pg+gF/B2B0/Q9miA1pEXruEmZgYBjdHkCf1DLaDaBPOI/aMvzAaAdg+MXpqI9oGwKQdj+mHcS0ODF1oYlADEFu1kNE0JSNcqkSAng6AKPrf6gSwoPQEPqvC9p3n4mZg4fUoBi9RIzUEBvtCZAaYqPqRzgY7QCM8AQw6n0SQgBX0x9ixCBpqSN3HiAOwyTJdirZGjHdQJ4IMb4j3mQ8HQA5McVjZ48Tb9SoyqEVAvTvBoxuD6BPChntBtAnnEdtGQZgtAMwDCJx1Au0DQFc7X7k1jAym0auoYMVNHI5ScZCmviY9yJT1/t4mv6Q4/85WfgePLlLkstHFQ+5EBgq3YDR7QFkJK3RngAZgTaqZUSB0Q7AiIruUc+SFgK4mv4QU6jbJIWYiYck3jriVQ7ae4Ih3QDk25ExRfCEFX4p/K1/BgaG0eP/8Qfg8JOl5y7h0e0B9Ew/o90Aeob2qF1DC4x2AIZWfI26lk4hgL/pj8cRJDW+8ZhDFSm4Y+AMiLFoXIggqSRVDCHVUqqoJ9gBGN3+S5VwHnKG0HmX8OjtAXRLIaPdALoF9ahFQwiMdgCGUGSNOpXmIUB2u59sl8Gb0cSPcMO1UG4pJTMAFDqDeP+S7U1cGvF3AEa3/+IKtxEiPlTWBY3uEiYjQY72BMgItFEtwxWMdgCGa8yO+ou0EMDa9CfYSIUowFywTpLdpLakSVWP6RhSTYB4E3lBDqaZVBEh1WFolqK5E5dp+DsAo8f/o4XqyOQOlW7A6PYAMtLnaDeAjEAb1TL8wGgHYPjF6aiPSABY2/0k6B8IpZjtWkwRNHehKUDjoikeQC59HIa/AzC6/mcAE8Bgs5rO3YDR7QF0TgCjPQE6B/iodYMKjHYABlV0jDqGfiGA3PRHGzmmnyNIt4mkJjLd/EWSq0j3NGEdJPkUTwdgdP0P4bAekSrovEt4dHsAPVPZaDeAnqE9atfgAaMdgMETF6MuoVMIIDf98Vs54O1aNOeR1MxF04uHS7k3KTcBj/OIlyIyfPB0AEbX/xAf2iNQJf13CY/eHkC3ZDbaDaBbUI9aNEjAaAdgkETEqDNoHgLEt/uJdAqRzU0iTaOKMuSGODIbbjjczVhl4cpIZVDXNEzbqWg+ntY/AwPD6PofzMAfFUELATqvC2JiMyKvGzC6PQAt4ojkjvYEiAyoUWVDHYx2AIZ6DI66n3AIUL3pD7eS8oYp5SbAHUPMkT7UtQ7ZalqzKXc5/qY/5P6vly9e09ojo+YPjxCgczdgdHsAnZPNaDeAzgE+ah39wWgHgP5hPmoj/UIAs+kPb0fCx8LJdg2yCchsPAZCbIeQBJXhUQCXImgUXOUAMujsSFzWEewAyIkpHjt7fAADatTqIRcC9O8GsPC47L3zhYmVg9SwGj02lNQQY2BgGO0GkBFoo1qGChjtAAyVmBp1JwkhcGi+I4VHcxJjGa6GJuV6iexOEDPkT4xjCKqh0KckxQVBv2N1DFZBNH/h7wCMbv9FC65RLkkhQP9dwqPrgkiKIAoVj/YEKAzAUe2DEIx2AAZhpFDZSX/+/GFhYaGyoYPVOMwhf6wuRW4vIrOxKh5wQfJcSJ6uAfcs8Q4g2FVA6yDh6QD8+Cj+9fuP779vEm/7qMrREMAMAT72f2bS74W46LSQbHR7AGYU0FRktBtA0+AdNZzOYLQDQOcAp7d1tra2R48e/f//Pzs7+48fP+htPb3sI7LdD3EOwYYjWtMZmYvMhpiGRhJUgKaeIBfTteRZgawLmU3QAYNEAeVuxuwA/PgoDvcdD9+XB0/uwrmjjNEQIDsE6L8uiEMidtel+4zMJA/0jK4LIi+WR3sC5IXbqK5BBUY7AIMqOqjsGFVV1Tt37iAbevr0aRMTE2SRoc4mqemP7FnMhjVElvKGJsQcKpLEO4l4lVR0HrJRA+4AZMegsZE7AMhNf/D23z8fv19FUz/KHQ0BSkKA/t0AFh6Xffd+jHYDKIk1kvSOdgNICq5RxYMNjHYABluMUM09CQkJCxcuZGBgiImJYWBgWLJkCQMDg5eX19atW6lmx4AaRHbTH7+rB08TFlcXBb/7B1Z28IQeZjhAOgBoTX+IMiMD4V2H9kHYo+RoCFAxBOjfDRhdF0TF6CPGqNFuwCgYomC0AzBEI46As+/du6esrMzAwHDu3DlDQ0MGBgYZGZmnT5/q6+tfuHCBgObBLY213Q9pK5O02RS/LyEG/seviGhZ8prF5Oki2lGDUSF5XiZS14OXiAU/aJ4fXf+DFiCjXKqHwOguYaoH6WAzcPj1BL5+/crNzT3YwnnUPdQCJC8ZpJbFo+bQNAQMDAwYGBjy8vIgrX8GBgY2NjYGBgZra2ua2ktTwyFNf8ymOUSEplZjGk6w0YmsgFodCUxnUEUE2alUMRBiCKnG4olHUo2COABO4mn6Q9b/jK7+h4fVKINGIXD+Bff5F9x87GL02SX879e5Hy/O2UuCLhEjdXvA21+gMBjdHgAKBVLwzpmg0+eGRzeAjY3t9+/foLvkhIVfv37NyIineCYljEbVDiYwOgMwmGKDSm5ZtmxZdHQ0aDj8P6LlCcnAnz594uXlpZI9dDIG0u5HswxSGiG8hyZNBBdrmxKXICgw8ZpJuXsgxpNqDqnqIbZQSGINJVxmDogLkR2Dv/XPwMCgpso1evw/coiNsmkdAvRfF8QmFLTnxqvR7QG0jllk84doT+DVq1fi4uiTpf+R2hLIfhxlD2nANKRdP+p4rCEAaf1funQJLltfXw9hY239P3v2DK4AomyQkAfnO2Jt/VPReYwMDJAWKsRMrD2K/wwMWMUhWiAkMWrQ7IJoRLYd0s0gaBdEI4Qkxl6ISvwkVrfh0gJ3IZrjsaqHK4bIomlB40LUQEg8UhAF1CKfvXxFLaNGzRkNAWJC4NNPpvMvuHfcVrv9RpYY9ZSr+fVunZ3YEXvJT39/fCHJtLe/GCCIJF2jihkYGHbOdITMCQyt0Lh6FXocQkRExIwZMyCOZ2IabSsOQzA6AzDcIjUvL2/y5MmgpiRSlx0y/H/9+nUNDQ00D6urq9+6dQsiKCEh8fz5cwh7YEkK2/2QtiNa05NUH5E0zk2q4fRUT3+PUBj++B2MXxYzYPHPAIwe/48ZYqMi9AwB+s8GjO4Spmf8QuwaQrMBM2bMyMzMZGZm/vPnD3iF5G/I+uGlS5dGRUVBvDNKDg8w2gEYHvGI8AWkrf/q1StRUVGIqIODw8GDBxUUFO7fvw8RgZMSEhIvX76EcxkYGFxcXHbv3o0sQk82he1+uFMpbIBCLpACdaLgJmJjUG4LNlNHxagcAvg7AFJSDJduXKSylaPGjYYA6SEwILuESd0eAPHW6PYASDiQQQ7+nsDz58+lpKRA1R9sDHHPnj2urq7IImR4fFTLIASjHYBBGCnkO8nJyWn//v06OjqXL1+GmHLt2jVtbW0GBoaPHz/y8fFBBCFkbGws5GzQKVOmqKmpubm5MTAw8PLyfvr0CaKAniSk6U95k5pyE2jna1q4jdThcNr5btCajKcD8Pv36PH/gzbeRqjDpHl/a4p+ottdwqDzIUa3B9A9rQ3ybgBkGPHOnTuQswQZGBjk5eUfPXoUGBi4bt06uofWqIW0AqMdAFqFLP3N/f//P2Sh3vv37wUEBCAOgOTkkpKS7u5uiAiEvHv3roqKCgMDw5kzZ4yNjRkYGNrb26uqqjg5Ob99+wZRQx8S0vSH2EWLJjLE5FFyBIYAnqY/JDRG1/9AwmGUHGwhwMf+T1fsizT/M7o5jInNaN99JmYOHjJsHJ0QICPQGBgYBrYbUFZWpqurGxMTA2kkIHshJSVl7ty5yEP+b9++FRERYWBgePbsmaSkJLLiUfbQBaMdgKEbd+guP3bsmLW1NSsr669f4FPcGBiWL18OWbSHuYVfUFDww4cPkZGRy5YtgxgE2TzAw8Pz+fNniAhNSeR2P+UWDeaBcCq6jYpGUR7muEyAOBJC4lJDqjgZphFs/TMwMIwe/09qRIyqp2cIjG4PoGdoD6BddO4JaGlpXb9+HeJfbm7ud+/eQVb5Q0QgJKRX8OjRI1lZ6D71xMTEBQsWIPcKICpHyaELRjsAQzfu0F0eHx+/aNEicXHxFy9eMDAw/P37l4UFdM/DoUOHbG1tkVVj7RhAMvySJUsghwghq6cum7pNfyLX61PXC7hMw2ynkjqnQap6ZJdQohcSjPi3TWP6Dtl2CBuuBs6AiNOfJNgB8LIWeHNn5ZOPvJdejd50Q//4GbWR2BAY7QYQG1JDXB19ugELFixITExECyrMIcKWlpba2lq05j6kkQC/XRTNkFHukAOjHYAhF2U4HdzQ0NDY2MjAwDBjxgxVVVVnZ2eIUsy8DcnG27dv9/DwgKhZsWJFZGQkWm6HSFGLPDQfdEkK/iYmtewiaM6AN08JupCKCoaEZ4l3JFwl/g4P/g6Al7XAlwczIYH844/AaDcAEhSj5GAGdN4lzMDAwCERO7pLmP5JgqY9AVtb2yNHjjAwMBw8eFBMTExbW/vfv39Yq35IO2HhwoVxcXGQQJg/f35SUhJWxRAFo+TQAqMdgKEVX/hce/XqVR0dHTQVmK3/goKCiRMnouVhSFbfvHmzj48PmgmUcyFD/riaaxBxkHsotwl2qP8g6WZQw0M0MQMS5kM9lPD7Ak8H4P/f3/Zy6FvZRrsBNElqo4ZSOwTov0t4dHsAteOQKPNo1A3Q19e/dOmSpqbmtWvXIO6A1P7Lly+PiIiAiEBI+OE/f/78YWZmhghCFF++fBmzsQFRMEoOITDaARhCkUXYqQkJCYsWLYI0+oWEhF6+fMnCwvL161dubsQiB0gGfvr0qRT4qC8GBgbI6n9QExx27Bdhm4hTAWn6E6cWRRV8lBdFFImDv/EHVyitYPj0wXk4Fw+DoI149A5jKToHCxWtw9UBwNr6h8fgaDcAHhSjjMEcAgOyS5hNSHv31cdkBMvoLmEyAg2iherdgEmTJuXn5/Px8X38+BFixebNm/38/LA2AFRVVe/cuePg4LB//36I4uDg4HXr1qmrq9+4cQMiMkoOXTDaARi6cYfd5S9fvjxw4ICioqKZmRlEBSMj48yZM9PS0hgYGDw9PXfs2CEsLPzmzRuI7JcvXyDXA2O9JgyihlSS7HY/qRYhq8fVdvzyR5iPl/vf90fIitHYRHYn0HQNby4kTEC1Ah39iSsSyXAC1g7A/7+/HVUf/Pt5Dr+BP/4I3HojcOc9B35lo7KjITCwITC6PWBgw5+etlOrJ/Dv3z/IcP63b984OTkhXuDn5//06VNoaOiqVasgIhDy06dP/Pz8DAwMW7Zs8fb2ZmBgiImJWbp0qaio6KtXoxeoD3kw2gEY8lGI3wNoo/uQ4f/79+8rKChANOrp6V2+fFlNTe3mzZsQEUpItKY/pBFJu6UmxLQXf/3+c/TcHREROUUJJh5unE06YoyChAzxKiHq6UCS5yTydJHtHTpYh2wFZgeAyNY/3IOj3QB4UIwyBnMI0L8bQMn2AAYGhtEJAbKTE1W6AYqKig8ePEAe179//76SkhIDA8Pz588lJCSQnVdeXt7V1cXAwJCdna2goFBaWgq5FuDBgwfIykbZQxGMdgCGYqyR4GZIix9yo8eDBw8UFRVBY7qwpT5HjhyBHBCEeU0YCXYwMKC1++F6ad0BgFuEn/Hl64/TV0CllamxNQ/LW/yKiZEdJP4ixqn0VIPc/qanvXC74A6gvPUPN/PHH4Hzz4Wff2GFi4wyRkNgcIYA/XcJj24PGKiUQElP4NmzZ9LS0gwMDG/evBEWFoZ4wd/ff9OmTczMzH/+/IGIwEkNDQ208cHe3t6ioiK4glHGEAWjHYAhGnEkOHvNmjUhISEMDAz9/f1FRUWMjIyQXf9//vxhZQU1a6qqqlpbW0kwEUkpctMfV7MY3ixD0kdvJrwPwMDA4Ozghn9FEKbjBoMXMF1FZxFc8YvVGXQOMbjbMJv+EOfZqrxl/L4HwiaDHO0GkBFoo1oGJAQGZJfw6PaAAYlrsrsBQUFB69evRx4NBJ0EzQgqRy9evKinpwfxzrt374SEhBgYGPz8/DZv3gwRtLa2hpwjBOGOkkMXjHYAhm7ckezyw4cP29nZMTAwuLq6enl5FRcX//v3j4mJ6e/fvySbhXvUnxij6Nw6hDjp+cv3Nx68hLAJrgiCKBtCJFWCFFT8MzDAl2yhmYnGJTVwsGpHs5FUMzHVY+0A/Pn5zUhsMxMTAxsLAwcbpiZiRX78ETj8UOzzLyZiNYyqGw2BAQqB0V3CAxTwA2Ated0AyOqAu3fvQhb/MDAw9Pb2lpSUwHsFS5cujYmJgSv48uXLtWvXpMFgADw5aiUNwGgHgAaBOliNhO/3hTsQPhsAFyHIQB7yJ6h4sCl4+pbt1p1LcFepqeiJ8n1jYwVdlwYXpC4Da6uXoBVUbxYTtJFyBeT5lBh70UIDbhGaOMQozA7Av7+/LZU/fX8PHf6nvBvw/rvomWeCo90ASICPkoM5BEa3Bwzm2KG620jqCbS3t1dVVcGb+xDHIPcKsrOzp02bhqYAomyUHB5gtAMwPOKRWF8sXbo0ISEBssiPm5v76dOnkD3+xOgfhE1/eFsQzf24xBkYGND6AOStCEKzjs5crA1fOrsB0zo8YY6pmCQRkvyL2QFwNRd4eQN65xfcXiYm0FQAGwVdv9FuADwwRxmDPAQGpBswuj1goFIF8d0ASHO/urq6paUF4lrILQFBQUFr166FLwr6/fs3CwsFZSXE6FFy8IHRDsDgixPau+jMmTM6Ojrs7OyQ/E/QQpKa/viba7RrJhL0BVwBZh9AREROX0cDz8YA4p2NVSX+MIE7jFoMrG6gluGD3By0DgDa8D+a45mYGLjYGVigV9ygSRLFvfNW9v4HztHZAKICa1TRQIfAgOwSHt0eMCDRTkw3YN++fc7OzgwMDFeuXNHW1mZgYJCSknr+/LmWltbVq1cZGBguXboE3w8wIL4YtZSmYLQDQNPgHdqGY233E2xcktrYxWMgHilKQhZyMCimCfCNAaR6AW4UjRwMNx8/g2xn4zd2YGVJDVK0DgDW4X80H1GlG3DpFeKuPTTzR7mjITCoQkCa97eR1FtO1g90cxUTm9FoN4BuoY1mEf6egIWFxcmTJxkYGOLi4n79+rVixQoGBgZDQ8Nz5whcloJmyyh3KILRDsBQjDWauxlr05/mtlJmAUnNX+RDgdCsxdwYgKsNiksczcARxR3wMEHuAPz7+9tU+sHv70TVZCzMoNkAJgr29955KzvaDRhRqX1Ie5b+u4RHbw8YwASDqxvw//9/ISGhDx9QeoPHjx+3sLAYQNeOWk0fMNoBoE84Dw1bBk+7nw7tyK9ff5wCXw6ANW6QjwolqWuB1TRqCQ4el6D5iFSH0Sh+kVv/oNOusK3+R3M5GpeDDXRS0Gg3AC1YRrnDNQRGtwcM15jF5S/MnsDfv3+VlJQePXrEwMDAyclZUFDQ1taGS/uo+HACox2A4RSb5PuFjKY/qW0+/I7Dbxp+WYjJJLUpIYqRDwaFGIJMiojISQn9ExbkQRbExYYYiCmLSxyikhh/kaoSop5UEpdL8LufVFsoVI/HMWhNfwYGhn9/fxsIrSPPRg420BZh8vQyMDD8+CPw5CPv6GwA2QE4qpHOITBQ3YDRdUF0jmi4dZjdgG/fvjEwMHBxccHVjDKGPRjtAAz7KCbgQeKb/mjNLzQuAWsISeNqgML1UW4dsglwNuaGYLiNEIaIiJy6HBvBo0IJuh9iGhVJqtsIDxNkR2IVRFZAFTblfsHsABCz+h+/40e7AfjDZ1R2+IXA6C7h4ReneHyE2Q3Ao3hUaviB0Q7A8ItTonyEq92PqylGn4YgUU6ntiKCfQAijwolI4hwhTYVvUiGq6hoO92MQusAUDL8j+xmyi8NGJ0NQA7PUfaQCAH67xIe3R4wsAljtCcwMsFoB2DExTuupj8kIHA1SQewHYnHalyuhfiFeJKYPgDyUaGYTsIUIWg7QS0EFcCtoFY4wA2kEYN27kTrANho/P70nMz1P5h+H+0GYIbJqMiwD4EB2SXMwuOy984XJlYOMoJXmIJLvsmwbvhpGe0GjDQw2gEYKTGOq92PtZVJu4YajYIb0xeYInisxnUwKKYW+FGhaFIkWYeml3ZcGsUjsmeR2SR5hLpuQ+4AUGv4H807o90AtAAZnFxGRkYmFhYmMPj///+fX7/+/fs3OJ06JFw1uj1gSEQTdR052hMYIWC0AzD8IxpX0x90zx/Y9//BJIQguz0H0U5PEtmpkNYkxHZk70BE8JMQc/AcDIqpXU1FT5TvGzsr6HJEUq3DNG1oiUCCmjxfQ4Ia4l9kNkSEEhK5A0Dd4X80V1GlG3DrjcCd9+SMcaI5ZpSLHAL//v5j5+JiACfN/3Dq//+/f34hKxtlkxECQ64bwMDAMDohQEZEI2sZ7QYMezDaARjOUXxwviP+5hrBRhhBBUQGH9nmEKORGDXEuJOkPgCRGwOIsRdNDX7v4JdFM4oqXKrbSIyB+NMtpr/gHQAaDf+j2cjEBDomiA3UAUSTIZb744/AaDeA2MAiWt2Pr9///f3LxsnFwsrKAu6fMzAw/Pn9i5GR4f9/cM+AaKNGFWINAfrvEh7dHoA1IugmONoNGMZgtAMwfCL348eP9+7d27VrF+PTVeaGfJgeI6bhhaaLDC1oJkC4ZJtDjEZSG4sQJ2El8R8MiqkF/8YATPWjIkSGADHxjmwUvANgqc32/sFiSprmyMbiZ1N+hfCPPwLnnws//8KK36JRWeJD4Of3H7++fwctBGJmYWFjZ2Ji/v/vDzMrCzMLrLsGSlv/R/sDxAcppsoB2SXMwuOy794PRmZYPGI6C7fI6GwA7rAhCuzcdeCTYHJ2drahoSFRGkYVDQUw2gEYCrFEyI0fP348derUypUr1bjOS4v9lZEWJKSDyvKgKhXVSCo2ylENpjmPmA3BaI7AtTEAsshqoAYeMSMFzdm05sLTAE1dAm/6Q7yjLvb2w8s9bCwMfFwMzBRc6wsxjRhytBtATCjRU82f339+fP3K8P8/IxMzOycHEwvzn5+/GRgY/v/7zwROE5D+ACMj479/f+npsGFm14DsEmZiMxq9PWBAEtKTp+/ffmC+9c0wPDzc1dV1QNwwail1wWgHgLrhOQCmLVmy5NmpfmG+7+Ji/Ly8pC0shjfRKHQ3JS08armBQi8gayejD4BrRdAg9B2yTylkUxLvFFoN0Y7W+mdgYBD/vxIixcDAwMMBWqgDbvLBxWjFYGFm4GJnoOQK4fffRc88E/z8iy69FloFwyAy9+f3nyyggX9mZDf9+/fv/7//f3//+f/v/79/fzl5uZFlR9lkhMDo9gAyAm3oavn168+r15+vXr3ombFrtBsw1MFoB2BoxyAjI2NycnKY6U12+ix6QAotSNMWIkD5IDfBpiRBBRCXkEG++AHSJIHUdWJkYHjylu3WnUsgCVIwMSuCkD2CzCbFHkrVkmovJK4xYxliDi5ZSl1JhH60DsDfP7+lmNFP/+ThYOBGilwiTCVfyWg3gPywG9U5lENgALsBuy7dH10XROe08/nzjx03tBkYGObMmUNnq0etoyIYHW2iYmAOmFGrTqt//gxuxpLlBEgDjlSt8OYgnEGqCVRUj+kFTBFM6178YIC0/uFSEJH/DAyifKB70eHiRDLevHm098Cuy3e/ffn64z8DAzFuIEYNkbYTrwx/lGF1ElYtcEE4g3g30ELl3z+glR5oJn/5wfDmE8NX8vMHmnn4uH/+Mnz6xvCDglNnBDlfuyrf0hP7yss2englvqAelRtUIfDpJ9P5F9yrrmjcfiP7/bcAfdz279e5Hy8W24kdcVYV+v/3D6mWvv3F8JaCrEqqdcNG/a9ff3bc0P7xdNuw8dGIBaMdgKEd9cnJyZJsFyXZLvrmn3jMmkyeZ3C13hgJNWH/MzDg0ovpEsxmJbIIpjlotmMqQLYCUxZTBFk9pKGPR4SdlcVMRwFZAfHsN28enb7y4Olbtp+/UeokuH8hDMjwOX53Em8pFVViOglTBNk6TFm0uENWTFO2jRH2lsfffwz07Ab8+MXw4QtF3QAV4cej3QCaJpVRw2kUAudfcG++KXH0oTLdugEMDAy/3q2zEztiL/np748vpPprtBtAfIj9+vWHSalq40V1of9nNNTlidc4qnJwgtElQIMzXoh11ZIlSy7t75GSFPz168+bt5/fMZoE6F3FtRMA0u4EbYYj1ngC6iBNWAKKcEtToh3iF8ymJ27bQDJo4/0gIWwYshyIkYHh89cfp688wKaEWDFnB7d/3x9hqqbE75imDXIR2nkWbQkQZAcw/tBgZmLgZKPfoiAONtA+BPxOwi97563spVejS9XxB9Ko7GAMgSG3S3j09gA8yUjMrG/q1KlC/8+ICPOysbH8ZZX9w6FdXl6OR8uo1CAHox2AQR5BBJy3e/fu3RtnSAm8g6j78uXHgy/aqqqqFmI7ICLkkeQ1r+F20a7BB7cCKwOXvYwMDM9JWQEC6QBArCD1YFCILmQSeWMAsjgZbFweJMMo6moZQIch9wGQdwDj9yAzE+iYIPpsnKH87jAGBobRbgD+CB2VHbQhMIDbA3ZffUxesIweG4ocbr9+/eHQqFu5cqUk20VhIR6I1L1nLL6RZaP7gIc0GF0CNKSjj0FEROT9h09wP/DwcOhI3H17a7lD0oFfMlVwcVIZJK3tQTMc0nlAE6QK1y5hn5jFNEyj4AtOsE4IvPhBWusfzXxJcUE1FT00QZK4yBsDMDUSDC5kBVg9iGkmHUSQXUUH64ixAusGAFwa//5jeP8FtDfgF8oqLVzKKRL/9w+0HIjCvQEqwo+9VF/oiX2lyCmjmkdDgO4hANkesOO22u03snSzHLI9wFb4gKu27Oj2ALKDHb7mZ/eKUh2Ju/DWP8RANTU1CGOUHKJgdAZgiEYc1NkfP350MBGID3eA8mHUr19//gv73L59m7oHBEEGeiGNP1IboxC9MAei0/hlGRgYbvyKyMnJ+fMH1F7j5OTcPtUc3QgMPpELfjD0MSDPAEBkyTsYFKIXmTQ1tuZheYssMoTY5MU72R4kmCSQx/5B64B/fJNl30yGdXS+NICNhaJFQT/+CDz5yDu6KIiMiB7VMhhCYEDuEmZiM9p3n4mZAzp6TVI4jNjZgF+//lz7BmpFKPBc5eFBP0ltzcYDS7c8kJcf3QkwhMFoB2AIRx7E6YyMjP3V6B0AiNSz5++7513ctWsX25M2iAjkaioqbgOAG4vGINh6Q1OPn7vgkMKCBQuQ1TAyMu6fa48sAmeT3e6HmwDpAEDMgbAZGBio1QfAdWMA3HY6M5Cb9ZixBpGFO4nUXh9cI3UZaE1/iOFmWmwPry6GsMkg6XlaKBMTqA9AyQKk0W4AGVE8qmXwhMCA3CVMySViI2p7AHzNj9D/M1KS2O8VvfJCefQM0KEORjsAQz0GQe6fUOMIorBh+FQAns3B2PTRTwyz0YlmN5dOl5mZGeheJx6evLy8tjZoZ+b79+8nl3siK4Y02ZFFqMKG9AF+/f5z9NwdqhjIwMCA5/JgSCdtkDS1CcYOtQKEJHOwdgCI2QFM0BY6dwO42BlYUC6qIuhAFAWj3YBRMKRDYHSX8CCMvl+//my8qM7AwKAmdJMN9yhFQcv+Qej4USeRBEb3AJAUXENPMRsbC/vnHZBzQinZFYDf5/BV+PiVYZUl2NINCAhgYGCws7PbMsnETeXY1atXIea8fPkSwmBgAB3nT93W//+/f5y01R1UZa0lWeSYDygLsrCxspiSezAo3J1wBvyo0F+oR4VCFBAME4iyURI5BD683IPMJY9Nz9NC//1j+PIddG/An7/kOZaBg+XD6N4AMsNuVNsgCIFPP5mOPuYb3R4wCKIC5AT4in+h/2d0JO7iaf2DVI/ioQ9GOwBDPw6J8IGwEE9nqc3Lly8XH1X+8vkH2roOIgwAKcGjC/+mYUyNmCIgC3DgJ0+eFBQUNCVA06qcnBxEoZiYGLTpz5URm38UIkgJCWn028oLWUuymPMd+fJg5rdni39/AjUrf3/aI8d8wERDlYp9AAYGhlt3Lh09d4eJE+ojShyPVS9J4QwxAU3L4OyKKIgj+n4QZ5O0AxiiBRdJ50sDIN2AL98Z/pF78ddoNwBXVI6KD4kQGJBdwgwMDD/Al4jR4vYADY8Fbmn7hkTgwx0pZta38aL65gX5akI3cS37gSseZQwPMLoEaDjEI54lQGjeI/ucUEi7EH9zENdyEVziaG7DysW0d/dd69bWVgYGhhXTQDsfApJ2cHBA9yelpqY6G97Gag4uwf9//zjraf/+8vrfr0+Qtj4ulRBxJnajIzc+3n5O5cNYqHhUKMSdZJOURBbZlpKhEXkVkALju58/fvxjO0yGOfi1MDMx8HCA1uvjV0YtWRZmBi52BiZoV5ccU3/8Ebj1RuDOe2iOIMeIUT2jITCgITBQu4TZhLQpPzY0uPj016+g2oGLi+vAgQPvzpUNaFgSZTkxK/4xDRpdAjQMwGgHYBhEIgPxHQCIb589f/+O0SQ8PBx5czBEihYkMW1KzIY+1qXwVjG72NjYGBgY0tLSnAxuMTAwRGQdQHPz0aNHH1+sRhNE44IG+zUV/3x5/uvTnv/4uzVoOsHct194j9zm+vAd4mqwEDUI/BsDqGED+WagRSLE56SHHPkOQNMJ6QAoMEJvwBDTlKBkBzCa4Whcel4awMAA6m+wsVDaDTj/XPj5F1Y0j4xyR0NgqITAUNwlXNV7/+HDh8ghPHHiRHX29cgig43NpFS1cuVKPJt9cTl4tAMwDMBoB2AYRCLIC6T2AeCbg6l7TijIKTTD0razVVVVGRgYWFhYlkyyYWBgaJ3+9vLly5ycnIaGhseOHYPY3NPTI8O1BcJGI+Ht/j+fQQt7ILL//zP8I6sle+O50Mn7oN4IxBxqkWoqetLCv6hl2jAwB3tn4xVK65Zd9D9V9gDgCS76dwM4KEtcP/4IjHYD8EToqNTgD4EB2SUM6oRLxO66dJ+RmYX4IFIx7zQ3hx5O7ePjs3379r9/QZt73rx5c2ZNCPHm0E0l/lM+8TtjtPU/PAAFk83DIwBGqi8gm4OF/p9xzzhC0uZgSGuMYLDBlcEZBLXgUmCfuF/LZ1VG1wtI65+BgeHUqVMMDAys4rmXL19mYGC4evVqXgzbnj3QNj1m6x+0zkdH3VaKxUrgyI/ni5Fb/6B5BkYGZiYGRtIdqiH5Lszko7bkb1wuJ0/81p1L+0/eYOKUo2RrNXlW00IX5b5A32HyipUBtfXPwMBA69Y/AwMD5O6w919ADFoEFJqZP34xfPgCukEMTZx4LgfLB0vZu16qLyR5qJxEiXfDqMrREKAkBAZklzB52wPu3bsH8emxY8ci3b4s6reFbFcTERGBiA8eEr7Z9+2t5ToSdzHP+B88Th11CU3B6AwATYOXfoaTOgMAdxl8KoCm54SiLSCB246fYRu/98qVK87Ozm/evIGrhKzwCU3fy8wMOkBxxowZAv9WQGSdQ1e/e/fu/N50BgaG8Mz9O7dunDt7Bg/r7wb/vRAFBMl//xkG1YogKaF/woLkXF6Dy6fkRQQu0+gtjtHuhzjg/98/PxjpeiYdnU8LpfDuMAYGhvffRc88E/z8a3TEB5JkRsmhFwJ87P+UBb+rijyms9OJvD1ARL3S3d2dgYFh6STQ5jSII6PzQCtU582bJ/VrEURkwEkiT/nE787RGYDhAUY7AMMjHkneBoDm7bfvvrRMP4N2ZRiaGmQuke1IIpUhmwxhW8fu7unpqaur+/0bOnjJxMTk5eW1fv36tbNdkZf+i4qK2tvbhzghegj///75/+9PVde9B09fQUxjYmS4T3TxO9hWBImIyKnLsbGxkjAZDfE1LpLsSMFlIB5xSuxC1gs/41XiE8rKH9CVdn//qKh+/Pnt3LN3DF9/4HEL9aVGuwHUD9NRE0dDgFAIDNpdwpDm/q1bt07vSIN44sl3z/LycgYGht+/f++dC6q5IOIDQpK32RerU0c7AMMDjA4IDY94pNQXkHNCz507t/io8ufPBJpRyC0ziMW4lnmQsbT+xQ+Gted12djYKisrIa1/Xl7empqar1+/xnh9gbT+P7NGQ+xlYGB4/fr1mjVrDl3RgrQFHdVkrQSOZFSegLf+GRhAS/zlYxkevYZrwsdgpGxFkLkilZfvv3nziLpHhZIRKfjCC6/cfwYGXGkDrz6E5IsfoEseEHxU1n9w6//fr3OsLAzyYgyqUgy4L65B1UkNHp0vDfjxC3RpwI9f5DtdkPO1q/ItPbGvvGzknjlKvuWjOkdDgDohcP4F9+abEheeKXz/LUAdE4kw5d+vcz9eLLYVPuCqLfv/7x88Onx8fOCyMpzbIeywsLC3FORciCGUkKOnfFISesMVjM4ADJOYJXsJEJr/v3z5UTvxREdHh4XYDjQpNC5kzTy1WpPwIV7kYz3FxcVXrVr1/Go9mtVhGfscHBzevHkjKyu7c+dOiOyD9UmMX+YxMDCUz2VYAZp3ZYhzYfCzZFiyl2EDeHtwexJDFM4bkyFmoJPkrQj6/otz11U+WpwRpK+j8e/7I3RX4uAj99OQ2TiUU00YkjBA/THKjIQnCWRjkGcA4K1/ZAUMDAwfvzG8/sDwC18djaaDUi4zEwMnGwM3vc7eZGKCnhREibvvvJW99IqbEhNG9Y6GwICHAJ13CbtWgHbmGCgzzKtL3nvjIjMHyvpMZbMOCwsLBgaGZ8+e7V8TBQkcIdVyT0/QjfUPHz48sjEeIihM2f5+iCFEklQc+IfbODoDMDzAaAdgeMQjyBfU6gOAyi86nhOK1s6LzT8KGfgHuYOBYc2aNcHBwSunY2m5Q470ia07s+vYdQYGhoeLQTruvWBwLAUxaqMZUjxADAYGBoU40Mr+aCeGtkSoCPHUIFwRpCjBxEOosQlphVOre0Z8cIE2VTMwUGgvWpJAth3eAdB10P5yZwKyFBr7zSeGVx/QxGjLpfOlAaPdANpG56jpQycE6LA9ILWfYecZlBA50s+gIGOEdntA38LPZ8+eRdsJADkelJmZeVG/LbIRdOgGkH3KJ7I70dijrf9hA0aXAA2bqKSmR6QkBdWEbq5cuXLxUeVfsKFUSJsS0sKjimVYV3csnmjt4QFruTMwhISEaGtr69hNgdiYW39VQK7AGelIn1QnUOufgYHhJ3izQHQHRCGi9f/3H6j1z8DA4GoMlSKJGoQrgk5fefD0Lduv3+hD3GiLbShshaOZRnygUWIv1iSBabW2lRL+1j8DA4MIH2hFkBj91giATgf6+I3hzSc6TT78+8fw7QdoUdAf0GGDmIFElIiK8OMgzRt6YqCri4jSMKpoNAQGXwjQ+i7ht58QrX9O2OC9XTHDr++gdUH2kp9ctWUhobJ/P/Q0AlmDJogIAwPDoUOHQMeI/f1r4T0XLsjAwPD2Fwghi1CR/evXnwsfPFauXKnAc3X0Zl8qBuxwAqMdgOEUm9T0Cxsbi47EXaH/Z9xg54RS0rBDcxn+dl6C34/Pnz/DtVy7dk1HR8chaIWQQtHr1689fAK+PZoJP8pzK+hEUNA5nuysDJtOMDx7C9J3ejKIhOAdsGEbRz2IADkkE1kbAzjZvkOOCpUToqCNhs29t+5cwr8xgIqRhc1+6ovhTxLI9mmaSnx7NBNZBBeblWVgugHvvzDQ7bTQf/8YvnwHoX8UrOpXEX7spfpitBuAKyGNig+JEIB0A1Zd0bj9Rpa62wMga0oZGBjakxiuzWVYB16U+u8fg3UBKGCQtwdsmuuVlgbaAWxnZxeZsw8kzcBwZGN8YGAgAwODnh6WSojq3YDRUz4hwT5KEgSjS4AIBtGQUUDFJUDIfqbiOaF4lnYg2whn3/vgVlVVxcDAICMtdWaORVDxumPXQLs87ywEKfkPbvEoJTD8/csQYsvQm8YgHwsSN1FjWFsLYkAwRJCPi+Eyjkbjj98MHOhHy0C0YiEH4Yog+MYAei70xxI02ISIcRLxqULiE6umqcSP5+DFXtiswyP2+w8D/Y8JgmwMYKbXMAsLMwMXO6VXCD/5yDu6NwBPQhqVGiohoCb0Q130AycrmQsBX75nEBeE+nXBLoa6haCcdWcBAwvo9GmGnWcZUvtAsttbGbQVQAw4ZmIzkgk9x8DAkJ2dbaV+FSIenLaDgwO0Sejr168b5npDBLGSFK4Losopn1gdBhccXQI0bAC9qqZhE2AjzyPwK8N880+QdGUYclARP76LrEuRd9vrQ+kSInzHup79ereOHdxMF+KFKmFkYghsBLX+GRhArf826GUADIvLoAoYGBhWg6ZeQdwdbSASDb/6wGBbzKCeBOo56IIuD0CTx8IdhCuC9h7Ydfnuty9ff0BG/Z1TDzskgTdBY3E+9YXgC8OwGg1xElYpBgbQ8T5Etv4lPrGKv2cku/UPujYOfEyQgjioA4nLPVQX//4LtCKIboeT/vkLWhH04xcD2bMBHCwfRmcDqJ4MRg0ckBC49Y5j802JHbfVnn6UItUB/nUMpjkMS2H3x1hrgwz49w801QxiMTC4GzOYqYOYntUgEhn/+3WuIxkkMHXqVBN36LATExO0rXXr1i2QHG5M9oQAfOBf6P8ZHYm7bPQ8EA23d0ZlBjOAJsrB7MRRtw2GEJCSFOwstSHynFBkB5PX9Adt8FWXtZX49v3xzFMTP0EMVAYX4y/eMyzew3DnGUNAPcO5OyCZYvA96zO3gtgNsaBBUBALjEtmgyg/SwZpYRADGT9/x2Cay/AIelUAqOUkH0vsttHBtiLozZtHp688YOKUs0/cD7l/nlu3G+5ZXKv58bfd4dohuz5wKcbfxEc2BJlNaqr4//ePloUMeWP/yPZysTOoSDHQc2MAAwPDlx8MLz/Q744Cyk8LHe0GIKeZUfaQDgFS7xJevp9BLprh/F2QpytBp8qBGKrSIJKBgWHlQSiDgYFhIWykCT7MBJeLcmLg5QLxdLQ0TQ0zGBgYDhyADsp8/UrUfhtSuwEaHgs2XlTfvCBfTejm6Ip/UNCPYiLA6BIgIgJp6Cih0Sog5AAg/pxQIgd3kQ0HnR3594+zluKPF1iWedx5yuAEK3Phuqy0GFZUM2RMZNgG3gwAOQsIIls5n2EZeBHm7fno474/foMG/iHKeDhBS6ghbB0Fhq3NECZRJNkrgt5+4d1yifqHMF7/6LRqxTLQ9rK3by9vDEb2A6QFT157HdkcSthkJwk7OQ74rg9KHICsd0COCYIsCkJ2Bk3ZHGygA0MpseLHH4HRRUGUBOCo3sETAgQPC5JDXDADcrWPOUNrIoMgeM65YRHDPPCJ0w+XMDBCClMGhs6VDFM3gVTeXciAdlXjs7cMFnkgKUZG0FKiF+9AbMhW4BVTnaEc4ij8i4JocconHneNrv8ZTmB0BmA4xSY9/MLDw9FZavP21nLQAUEyoAX6aLZCBnfJaOr9//vHQVHIWugI1tY/AwODijSDkwGKbd7moNY/AwO09d8PGmqBKnjxHtr6n5CB3vpnYGCI64IquzCd4eoshgvTGSAri+4+h4oTSZG9IkiY53O81Quq3xq2az90hOrTJ8Quaohf/lN8OifEHPJISKogVS98Iojqrf+BOiaInneHMTAwUHE2QEWQwP2ApEbuqPrREKBzCBDcJexpBnURJzvD+nqGaXnQ1j8DA0NDHFSqDulS+fJwqGAO9Jg6KJeBgUFKmGEReLjq/38GeOvf1VLj9/vHCEXEsSCzAVjvEWNSqvLLO7J7RamOxN3RgX/ignNUFQKMzgAgwmIYsOgwAwAPpV+//tx6p66qqmoosIUdvNyQjEY/ZMjfRV/79/u7f77sgRuOh3H4CsOeswycHAzJ7gyi4EMebz9lcAYXtZCxGcjmYNdKhltPQMYgzwmA+AwMp24yhLaAmCurGSw0QAwGBgb3KoYbj0HbvO6DdxhDRUmhyL417MQ9nkfvwDvLSLEOq9qOxV9+fvvCwMBQny6hpqInyveNjZXlMWtybCxof/SBeQ5YddFUkOxU4ayl+Ovd1X+/QNvpIC78T5v5i99/QCv134OCDWIPPUj6XxrAxkKF2YBbbwTuvAftZaRHGI3aMUAhUN59p7NUBc3y3tX/WNjYxBWVI/RuokkNUS7mLuE/fxmUwA3963Ox3Os3cytDK2h6leHqbOgKH8jYU8ZEUACcmYpYW3jsGoMV6G56ho9fGbxrQCtLBbgZ3E0YmhNAKpnY0G8PAIkSjSETAr9+/bn2zef27dsKPFd5eOiXJUdnAIYTGO0ADKfYZKBnBwAScM+ev++ed3HXrl3v7mDbZgtRhIP8D17tg9bIw6EWn/DSvQyV8xiYGBkeLIEqW3uYoXAGiL2thUFbHsRAxhrJDN/Bt7Ij9w0ggna6KHuIkXURw6ZkRdCR21yUXx7cMvft3z+/Obh5y2Og64v2XFE+evQoAwMDMzPzoUOHft/E2LPGwEDMWT3EeB9NDRWb/sgm064bQP9jgpiZGPi4sMxQIfuXimwmJpBdHLCDzMkz+ccfgfPPhZ9/AW/JJ8+IUV2DNQTmHRK7dhR0coKamWWa83uIM+cflbx+9NC/v9CzjBV0DXJ8hsl0UGnHTRYW5vp4xTjH2xDPelYxXH3IUBLCkAc6t5NhywkGYT4GS3BrnoGBQT4GdKuMEC/DBXD9AtGikwraQsbOynB7AUi2ZgFol9rcYgZXI4g8w7//oOoJyoFRZHcDfv36I61Xt3LlSqH/Z+g/6j/aARhOYHQJ0HCKzQHwC5OgYGEuaHPw7rPKnz8TWytAlnZAVvsgD/GS5wEB8HXs//4zNC5meP2BYd0RaOtfSRJL63/+Lmjr/+xUhG2XH0AFe4k7CwihE5VFyYogf8OXFK4ImntI/N9f0O1g3ILQLc8t895CWv/8/ALPnz/H2voHTcKg+oI8HvJWY0oW/BBMFYyMiDW45DkVqy7WgTgm6O8/0I0B9Lw0gCqLgixl73qpvpDkAd+9hzU0RwWHZggk2b3i4AGVp09uXIP74NGVS/DWPwMDw4PLF5ZfQJ8fgCseKoyqCY9K2m/8////9+8/NXNumxYK3X4Dusxrej7IBxPWM1y6z6CWyJA1mSG8FbQtuG8tSHx5JYh89xl64QyIw8AwpwhEQ26iZGSEbgZI7gUJQjATbM8AhAshkW8P+A8utyHi+Mlfv/4cua6+cuVKYZ6b7MKwY0rx6xkFoyGAA4zOAOAImKEpTLcZAMzB3efP3y9aRngq4P/fP44qYr/eraNiAH/4yqCfDhp6QTaTjYXh1gLQuAtkRRBcCnItgKM+w4ISuBiDUTbDW/BRQ8hzAghpslgDsiKoceYLBgYGaXVdBkbGZzev/Ad7npWDU1xRrTyIXVGCiYebtpPFmAmDmMCDzAXh2vuBywQaTQUwMIBWBL0i8/RwXI4lLM7DAVqiQ7dLA5iYQNaB1+4RdhsuFT/+CBx+KPb51+hAEq4QGnriS04r/Pj6JcXhzYqLahH6oDMrS9pvMDAwsHNxqRibP7l5TVZDK8GaxM1SgywYJqxnQu7hQFzHKyTcmyesLPjdOR+0TB9zXjTSkaEzhcGnBtQ3YGBgeLQUog9EQnYPr65lMAevKZWLBq0guo5y7S9IGR7MwuOy794PRmYWXGrgA///f2IZ+IesC8Kll4riozMAwwmMdgCGU2yC/ELrPgCeFt6vX3/EpUGrEi3UrvLyojQ0///9Q9JCf5BPSMGNSxjmbkdoYGZiODMVNHULEQK1FMHLx4tnMaw5DBK7MZcBfqP7ttMMmZNAgjvaGDRBY0AgNlUwnVcEzdwr+OLOdQYGBkkVzRd3QYNbDAwM3ILCJWGI1RrODm7/vj+iiu/QDMGTMNBUInPJa/qjmACOWWQRarHpf0wQAwMDDweo6UAtLxA0h4kJdGwu5G4jgopxKXj/XfTMM8HRbgCu8BmK4h1Lvr19+sTQ1TPK6G7NpCc/vn5h4+RsK8BYTzkU/cbAUNl3//fPn4xMTHqOLmycXPfOn3n7FLRjTNPaLtnu1fIdDGfPg/o8oPzICTp5Ytsphj/gBVCTshkc9Rl0QVf9MkQ7gy4GZmBg+PyNQTsVFBBN8QwJbiAG8iViID7RGNe6IGu/Bc3NzT8+HpOWFsZzwD+tuwGjrf9hBkZHboZZhNLQOwTXdbCxsbx/vYOD5Wpq+YkHnzwgToGs9oGc6E/kNl+IRpLI+hgGyOiLihRDfiDDvUXQ1v+UjQy//oBWjDAyMbz7DG3996QhWv8MDNDWv7oslVv/oOPzGUEXx8DPjCPeR8I8n8lYEfTzK3Qf6/M71/+DOj0MYgqqyK1/BgYGyK1hTJxycMfAl+5gm6aGq8LHIJgwsGqGJAzIgh+sCogUpNGKoAE5JghyacCbT/S7NODfP9AZuJ++Qds3RIY5mjJBzteuyrccFd7ysoFv50aTHuUOqRBYeRk0iP3m8aP///7dPn0CtPBdV5+BgeHX9+81k582zHhZNeFhzeSn03eCT8ccUl6DOxZSPLKwsrFzcYfr3qiM4+Hi52dgYLh18hhou5SMJlzlnm65KTmgCgWyjCd/GgM/N0NBEEh+6V7QBt/FexCHUytKgMQZGEDnfkJZJFKQdUH2kp9ctaFjUb9+/RHVqGpubv7/84yiojie1j/o9OdfDFgPCyLRFaPKRwoYnQEYbjFN9RkAMkZ2f/368/btZ1ZOkyBPB92foPNnBiSUF+5mqF0AOo7tUC8DGytDbCfDwUsghyCv8+lezTAFfJDz2akMInwgWRphslcEPXzLefI+Uds2u5Z9//75I9z90uq6KQ6v4Vw0hoiIHPKKIMPgjRfW+pM6mE5G2gBtOQBv/iZ1wQ+a+7Fywb0erDIUCQ7UMUF0vjSAhRk0GwC7sZTMELvzVvb+B87R2QAyg29Atc05IHLj+BEde+cEq6czd/PfPnOSgYFB29Yx0eZ51YRHv75/Q3OdoIRkdSKo3YwmPvi59dNefP0IWuTXUwnq7UAcDFnpZOjqGW1yv33hl7fPnrBzcbfmy/Kx/9MV+yLN/wyyzifejaE5nsEsh+EFdI80RDeIxLwNACRKLmZiM7rIWOgdEpsUo0/eZl+qTwiMzgAMMzA6AzDMIpSa3iFvZJeBgYGVmcFDX9mUd+7iKbHTNjN8I3ZvMDUdz8AAav0zMDA4GoBa/wwM0NZ/YRD41BuwVZ++QVv/GT60bf0zMIB2I0DGkMA2E0twsn3XkHwXZvJRgJNw4/zXD2gNzcrOUZ8ugaf1D1rmDr48+Olbtl+//2j7rubn57dPOpDY/JBIl5GXNqg16o/LkTSaDWBlYZAUYlCVouvinL//QFcI03M24M9f0GEmP34x/KNgHF9F+LGr8i09MaKuO8UVj6Pi9A+BVVc0bxw/Aro74gvoCpF0V+hQwtXD+xkYGNoK5Lj40Nv67188n3tQlP5OpdxGGQ3osT7LzyN2MzOC52o/vn7JwMBQGc9j5hPQmg8ahoffJWyrD/Lswl0g+09NYbDVBZ2fBuIwgDb+zikCkRAu5eS3HwxT1p5bPCV2ZgGDv6ky8buEka1+OzohgBwco2wMMNoBwAiSUQEGBrKbd8aK6noCLNpsR36/XcfJxuBpBlp+o5HMcPjyAARrjj/I0vYkEAk7wo7B3wrkJEZwwk/uA0mBinvYfS5QPm0oss8I4mT7TnBF0NRtnH9/g05l4REUrkoA349AhC9u3bkU3/NeVBRUsTEwMMTHx8M1wZcGwUUgDLLThpO6LOULfiBuwE+C63H8SsiRHahjgiB3h/0CHe9EjrNJ1fPjF7QbQKpGZPUqwo+DNG+MdgOQw2SQs8N0rjOCZ38+vYFOG2rbOULcPGMXaG60KVvSyMNH18FZz8lV39mdlQO0ywsySwBRNoTIVCfQxbzMrKyf34MYUJeDCw64SJgudBsARPbTT6YPgnoQ9u8/IHppBcOFmQyTskD3hd1dyOBmDBKkHH/7AaouGxaDhhtC7EBrWX+/XWfIc8RI4NPfH9BFniTZMtoNICm4RhQAt4NGlI9HPYs3BMhu3hnKyOryfvv+aCbapa0asgwzChguP2Aomw06oxOv5VSWLAtDHNTwGnzIDwMDw9GrUFsW7gHdCMbAwLAKy8n4UDW0oJjI3RgAmQrAdVTou6fQrb3FSFt+Cbp/+i7e57dhIcLAkJ2dDdeCeXMw2WkD/wXPcBupyKDRVAADA2iRjIoU4sYfKroZj1GQ00LffAJtaMGjjIpSP34xfPgCukiYEjNHuwGUhB4V9c49JIbVtClbOErab1T23Yes+2dmAR1B8xO21CfR+jmPoBADA8Ods6cg2qMM78RbPuXg4o41e6jr4MzAwPDn1y+IXoiCIUTqOjjrO7ulgXsCoFrgisZ/8MzX31+gYRS4R1rnQ2dCGBgYfv/8CRFv2ul5+43s998CgjwMAdYMPuYQYSqQ334wNCxm2HyCwducQROxUQtk8r+f54wFzxgJfDJXBM1LgIRIwaPdAFJCa6QAUIYfKX4dGf4saNlPxjYA8hZzQ9ZzG8kr/ny++Odz0PQx1jDmZAOVZYyMDMbZDEsrQDOnWJXRVJCPC2p89XyG5+8Yrj9i2HseKmKuycBAeH0NVDG1KCZGkJ3/SLQXvCLou7wwJ9rlwb2r//77BzqlQkJFk4EBY2kqDkdP2crx9gn0+huIkqq6en+tH5hHhZKXPOBHvv5CGmWDWEQfEjyih34+LFWsFuEDrRmj8zFBkG4AGwvo7jD6nBb64xeoy0HhFcIqwo9l+AWefOS99Ap6OR1VomDUECJDALy0/cb076aZ7qC1Pci63j1/CmnXnt6y4cNLc15hkffPn/3+iViyqWZmeW7nVgYGhu4Vv0oj2JZfUL13/sz7lxu/f3F69/wuxCjIWcMQ9hAi4y1BfkdyMPQQBE5e6ObmlZc1zu/a9ufXr9KOF2pmlsysrLfPgLYIMzAwXPvEfv4F9/kX3IYSvDL8nzlZQdsJkIwih/ntB8PZ26Cmv7YCqLrEZcS/n+d+vjhnJGDEKqh98j7ouFJcKrGKw7cIk7E9YHQDwPADozMAwy9OSfMRecO6kKa/vpiQNtuRn88XE2PlAE4FQAZuLWBHO0zZiGj9P1oKXhEELfyJ8QfV1FCyIshR4zXyVMCXd6BZe0ZGxnTY5Z0EXTlxA9PbJw9ARxUxMXFwg+o8JmYWqX/rTl958OUP9B4xBgoWg0FG/al74QNBT2FVQLvZABE+0MYAMWLXW2F1HcmCv/6Arin4imikkWwCSRr+/QPNA3z6BiJJ0oismIPlg4rwYy/VF6OLgpCDhQ7sxaegB3fePXd60ibEccAQq+tShVVNLUAlIAPD7dMnP4MX//z4jOgnRBndlVJVZ2BgeHn/3pIzCn9+/nz/4jnD//+XD+x9ehO0QoaRkYmJiRli2pAm//4BL+thYOAThc6WhOveUDe3AtV0///fPHns2pGDkDWWzKyskN0CDAwM519wb74pseO22tOPUpR4/8kb0MD/octYBv6xGgvuBiw24Dxgrig7uj0AaxCNChIDRjsAxITS8FRDXtP//98/yAv9SQoayFSAuSZoKmD9UZK0UkHxqhoGQdAdl1CjpIRBh7tBOYwMoF0BA9ENoHxFUMdi6MJQSVXozjaop3BTvat+f3j5DNL6l1TV+vkNZAIHNzR0Tp89uv/kDSZOOTIG/v///WMnzWItdGQwNP2RAwAyG4AsQhU2KwtoKkBVCiVpUcVk/IZ8+cHw8gNdTwulfG/AaDcAf5zSQpaNkxNu7KOrl/vWoM85prt8MPbwYWUHLej/A95E9A+8EgauqygEWizePHEs1vyRspEpXAp856BGmA7o7hFkwaHI/vPrF8TZLGyII9cSbV5o2zpAtkZAZJmYWTQsbNC8DN8lDLlLGKKSSBKy4n/SegZtBQZXYwZOdiL1QZX9fLF4dHsANCxGKdLB6DGgpIfZoNdBcAkQGQ070EDI3z9G8oq/31399/MchWHw/RfDw5cM958z+FrQe0XQiesMT98wmKgxyItj9wT48lzsUjQVJfvWsKalnAt2fefiFyyNIKr26FjyBXJjACMTk6SKFhMz85PrFxkYGETlVbI8QD0BuDdFROSYuf4JIXeb4HIYjP9//9jLcdDuqgcMC8kUoNFRoaClFH8Ynr2jX6Mc4n9mJtClFjS+3xkFMDExULgoCHTUzJ/RRUEooUo7TlnX7X/wMxAYGMTkFcuisBQU/esYn96ENuUZmZiMPXwg1wAzMDDM3id08yRo9QvknqwlZxRfPbj7989fMXnFeEvQ/Vm0czzdTJ53WPzakYMMDAwm3v4RejcXn5J7ePkiCzt7RQzXyssaH1+9fPP4ITs3T3EogTFTPvZ/yoLfVUWIWpxz+DLhNT/EhwATO5nrgiBWEFwUNLoEaPiB0Q7A8ItTBlwdAPLa/fCmP5FLfYgP0HefGU5eZ1CQYEhwZeACjUARr5XGKv/TZOE4MY4m77oABgaGc3dlL79E2b6G1brW+e///AJtZWNkZJJU0Ux1ejt5CxtkAzHavQFTt3Fme31nYGBQU9H7y/aNjRXnfiFnHfXf7+8O/qY/coDQrhvw7SfDs7egpfPI1tGaPSDdAA42UE+AEq/9GO0GUBJ8xOltmPHqy/t3DIyMrGxskG2sQpLSKiZmaMPYDAwMPSv/vLh3B26qkJR0VTxocSADA0Np5y3IHlnkg/PhKocBY+o2zvsXQdvCTLz93z55fP8idJCLPP/Crw7AFTLffjDsPMtw/BrolGph0BlLuBSSLE5hN4CBgQFXT2C0AzD8AIHu7PDz8Mj0EXmrfSBNf5IW+pMUvEK8A3xOKE7XDsEVQUbKj+OtXiBvDMD0XfOcN5DWPyhm///79QPUvv/8FrR/ALIcCK5lzkGxN4/vN858MfeQ+K07l+5euyMliHomBVips466nTTL98czh1brH+RZRsjKZ7A3qEpwsTMMyDFBkNNCf0AXMlDVS9gM+/cPdL8HhVcIwxcFqQjSa08DNr8MbzFJFVWQB///N3DxgKxveff86Y1jh1ddgW2KAkmDMCcvqCnKxMwMOQ7o3bOn5d13FhyTZmBg0AEfCQrRDlI67PCX99CzEy7t2wVv/TMwMHQshl6uQpKPP/1k4mTFPhwDWfPTsBh02C7klE+STCaoeHR7AMEgGlUAB6MdAHhQDB8Gck+d7KY/2Qv9SQ3Hgd0cjMe1oM2jA5Q/mBhBF4fhcRsuKchRoXJCoBOBkNXMPSTeOPPFv7/QjW4QqTeP7zXOfPEb3A1gZmVLtgPdgAORgp/sAb/+c++BXa+ffoN3A5x11Dsn3RmKTX+IByEkKIqhK5whAlQjB2R/8N9/DB+/gbYI0+3SgH//GL58BzVl/qCnOBJCkoPlg57EAy/VF6PdABJCDaa0pP0GZlMeJgmi+YSht3x8fP2qo1iJlR20/ufT2zeXD+xZdRlxDy7opAR+0FVf//7+Nfbw4RUCnQTw98+fKwf3di79Hm/5VN/ZraNYCWTicMTwgu7Xd9CwCMSLRu7eFbGw8+MgQsSRfOz/hLigAyvIOr79YFiwG7TsB/OUT2RlVGFTd3sAcqOCKs4bNWQwgAFq4AwGrw93N5Dd9IcEzOlbF9FO9IeI04KEbA5WlARtDh6QK8PweGqgNgdTeEaQj95X+OXBcw+JQ1b5gy4kZmLmFgCd7Y3mZTTB/7ADStk4oJsIp+3gfvPmEaQboC3AenTfzPM3nshFM7QtRzNp6HFpvT+YzscEQU4LffOJ4S8FF/qSFIuQbsCX7xRdIQzvBkjyYB86JclJI0Qx+IhPBuQl/pgejzSErup5fAN040d7kSKkD/D98+fzu7cj9wEgA/8MDAxhujfq00VBBwSBjYNsEY41g940AhYbbsSXD9AZAIjHpNQ0eio1ooygR51CBIkndcVQNlMxMICmyw5fBh31w83BEGJH8mZf4q3GVPn/L/kZavT2gOENcK7rHd7eHva+u/KJQQRxmAE53mVi5bj6y+bfz8+6vKAdouQYQaIe+FTA5hMMpaEMojhOV4Ssnvz6nSHGhUQLyFUOaiAygncFoB+hQa6JROtjAt/HS8bGAGGez/6Gn288F0pdIP30BjQGmVhYJFW0UuxfTd+p8vHVi5/gw38gbuHiE2BgQJxm/ecXdEnGfwaGuYfEXz24/ev7i8aZDOJK6hmuj9YcZOhZxMLAAJpPqIqEGDC0SVAUM4CjmNr+gBwTxM9F7/3Bf/+BpgLoeWnAn7+gqQAWZtBdaeArZckJSg6WD5ayH378ETj/XPj5F/RjK8kxcfjqmXNABOI5+Lo+CBeTZOfi+vnt2/dPnxgYpGbs5ofsBABtW//588z2LWG6KhAtjKDRDhBz2TnlKKO76S4fGFxQpghAcsMUG7p5ndm6kYGBgZmFpbMUGiBE+vXpzRtLzsgXBrOwcYBSLB/7P2l+0BlrcO2Q6734uUGnfJJ6zg/cEDIYZ97oM3NwsXBT2sy7ArtGkww3jGoZzIDSlDGY/TbC3fbmF6V9AEZmFmYuwSs/LHQ4TtAnMCFTAeKCoKmAiVkMgdYIa7/9YLj3guHQZQY+TgY9JRBCyNGFRbs2IkHnk3drGAMDg4bku3ijn22gA7sZWNjYJJQ1Iet8Mt2/MDDwTNoo8OHVM8jePrTVvZDtAZCtAk9vXIG4kJGREaKYgYFBQF6T/dPHOMufDAyIhUMQZUOXpF0Us7IwyIsx/P7D8PAVXfcHQy4N4OFgoNsxQZBuAAcbAwcFAxCQbsD776Jnngl+/jU6TY09S7FzQS9W+09oS7uEkurDK6BRAMiMAbJx//7+Kem4aebtH6Z7g40DehTDn9/02kqC7JQBZUfo3Xx8VYlfTDyN6KtU4O6VVtfIEvv6/vnbBcf48/wY1ZBmWIm83gtuFLUYTOxGp57+ZeEWpNzA59CxIMpNGjVh0IHRDsCgixIqOugNuBgfclMBQrwMMwpA54SWzWbI9GUQFwA1/RftZtBTZPA0ZVCUoGIIkWgUeOcoqLal+1QAaEUQIwMZUwEp7l9T3BnSJ3J62fF9+I7SWM/z/9M4E7pMJNnuFXJY/AW3ABgZGZ/dhLb+WTk4xRRUU+xfzTko9uLOdV5hpvyAfwwMjOvOiJso/JAT+YisfUizadoNUJECLdN//YGu3YAvPxi+/GCgZzfgxy/QxWEUdgMEOV+7Kr8e7QbAc9Pi0/Kxpg/hXCbYPAv8Eiu4FBpDRFYO0gFAFpdUUf394+ebJ48Y/v8/tWXD37++jAzQ0gB+KD6y+mHPLo1kI/4adbTQ4BXk5hXkzhP58enNh2VXPnwGH2995QHDot2gA/5D7NCU05Z75o0+CzcfC7R7SL5do03/YQ9GjwEdnlGckueI7DEK+wAQo/79/qHH/4vySwAgphFDQs4JXXGAYXoeg5k6zkVBxBhFdTUDdV0AAwNopTV5HZAbz4VO3kcMzM45IPr05mUGBgZOXv6yKOhafwbwmp83j+/9+IK4EFRYRiHHGzoQ1LPy19cP7xgYIMuBoO1+Qa7/nnqfONkQ++eoHuADYiCos0cbi998YniFWHJFGzswTKX/aaEMDKCpAEpmAyCeuPNW9v4HzpE8GwAZvBeSlK5KgB7NufSc0vmd2xgYGFRNLUDLdSAhhYOEaIdICkpIyWnrxpqB+hK9q/89v3MLIm7g4nH7zMnGTBw3pEAUjZJ4Q0Ca97eh+N39FxkOXgKpczRgoO4pnyBDcWMmdqMzr9mYWKEzObgVEpZBa/3PmbSfsJ5RFUMNjM6uDrUYI869aNn1zS8GyGwAcbqxq2Ji5bjyje/yZ33s0jQQhZwTaqDCkDmJ4QZRN6vQwBE4jGRkotU5kjgsRAgzMVF0RpC2JHRPGHwPAI8gdDExAwPDnINirx7cgbf+mVlZ69Ml4K3/mXsEIK1/Dh7eDFdQ63/uIfE5B8V6dkgsO8F//SnS5DfCvUOYBZkNoIUHBuqYIMhpoV+hvTla+AzdTMqvEGZgYFARfuyqfEtP7CsvG3SUGt2aYc1vX/wV4r93z5+Wdtyaf1SSgYEh2ugeRJCRiGTKzgU+zYaRUdXUojqRD9L6Z2BgKA5lktPWhZjDxMIy2vqHBAXZpBzvp7O3Qa3/x29Am33p1voHNf3f6J/7wEd56//5D4bR1v8IAaMdgBES0SBvUt4HAO2R4hK8+suGid0IZCK98IwChssPGMpmM7ym+6ApPi8O3HUBoBVBZPVAONm+myi+DTP5KMD5//O7NxDfsXPzQBhTt3E+vXHp13doa4OBgaEmCXQaIESWgYHhzeP7ELaQFOhagMlb2J/evPz0xqWnNy51L/9x7C7bujPiw6wbQLujQiH7g1WlGOh/TBCkG0DPSwOo2w2AJMKRQ1bGcmvbOrCwgqbv/v//d/XQ/pZ5H5ZfAB/wz8Dw8xvhs+qFpGRAwfX/P58IorcPEmFgyPP7rW3nCDr0BnZeEER8lCQ1BP7++bf56OvNJ0DXe5GqlxL1oNb/a7bRFf+UhOHIBKMdgJEV71SZCmBkZqHnVMAF8Cl2mnIMg/ScUEg3YCDSERMjAzMTAxkH2XOyffc3fPnrG3SRT7LdyzkHxZrnvIa375mYQbuDmJiZkb01bQc35LwRflHJVMe3kzazvnv6ELIt+P///98+fZi8me39N0ZIN+DNZ+hCBWQThi6bDt0Auu3ThcTCgFwaQK1uQJDmDT0xRDcV4qPhTSbavOgoURKRBXW8GRgYPrx8cX7XdoiX4VN5EC5WUkJRGSL+7SNo4g7ChpOJ1s/h7FEGGSHw98+/2fuFz5++BTnlk4udQRa9n0WGqYS1gJr+NBv4J2z9qIohDkY7AEM8AslyPhWnAlh4aX4YZ4QDwxtwnQU/J3TQTQUwMIAO0COjJU5W9KFpIntF0N0FDJOyedVlOSesZ3x64xLkNHFGJiZxJXVmVtB5dpBuANy61w+hp2IXBIH2ILx/Bl6VxcgIP0Hoy/s3cw+BFhC//8a48Tz33qui338hthbAzRm6DJp2A+TFGBTEGdhAPS/6hRDk0oD3X+h6aQCkG0DhbWUqwo+9VF+MtG5ARQyXsacPZPUh/F6/n98I771hAd//xcDA8PoxaOk//VLYCLDp759/PSt/GnBfhV/v9e0nPbwNav2PDvzTI6SHLRjtAAzbqMXvMWpNBVz68IfWuwIstRBegZwTqqMIOid0/VGE+GBggVqHTAzkDMhT7HqyVwT5mH3e3vLdURW0qZeBgYGNk7suVSzD9ePfX6ADpJCPF5y4ATobICKryMDAMGE9tLsjrqgmoawJ8cHvHz8gx4xCuA/eMg/XjQFELLqGhAFpJBc7gwp4RRCduwGQ00I/faNrN+DbD9C9ARReITwCuwGRBnd6KtQVdBF7sd6/eDZ9J4EJt3DdG5B7vj69Rjnvi7QEOqoaNQQgA/89K3+aqvzTUBKAn/H/6gODAi1PqwM1/UcH/lHjYpRHBhjtAJARaMNHy1CZCniBcksjg6wo6JzQF+8H364ABtDYHI1ahwSTHdkrgvrSft5byFAUIlkZB2pGzD0k/h98yBF8CdDsAyIfXj4F7QBhZc32Ag03/voOXXbMxMT0//9/Ln7Q9l/wbWLozoSsCBpmGwMYwBGN7lUq8UX4oN0AKplHrDHff4HuDqPn/mDIFcKfvjGMdgOIjSSYuhyfn8YePjAew91zpyt67i47B13nAxdHZnDxg+5W5BFC2dWDrGCUTVIILDgq2bPypzLXIzsDdh4BblkBlDVptFvRx8RudPYt1+iKf5Iia1QxVjDaAcAaLMNBEO0gIFxeGvxTAZ9BDU5053OyMWjIMphrMnSvZpi2GV12gPmQXQHQIXJ6u4XsFUE5vs/DTD6aK4LH/sGuZmWHHicHXe3DwCAiqwSWYWDjBB8qwsDw5skDRgaG0gg2ETklAQlpiCwaOboxAC1AiOEOyDFBDAygGwNefmCgfzfgy3fQ+bbEhAxWNRwsH0babEAk6p7dP79/n9u5tXvF71WXsV/fKyav2FOpURUP6uRjDcNRQSJDADLw//LBPQtNRh4BbmYWJlne3wKcr+HanyCYcDEqMOAD/4zgPVqUmIh51A8u04hsSODSPio+mMFoB2Awxw793DbIpwLu49iiBjknlJGRQS6a4TDoRHv6hRhBm6Arggiqo4ECslcEcbJ915B8t7PoFgP4AHxmcDUzYzf/98+gTRhcfAKQoz8ZGBh4hUQhhw/+/vEdcppQtue3FAd89R5kY8CwnAqg0ZzPQB0TBOkGvPlE124A5Arh0W4A8eXBqiuakFU9HDw8/KJiEI0v7989t2v7gmNSEC4ymekO3fSPLDjKJikEIE1/yMC/owknJ2ycX1PsE5o5VD/aa3TgHy2ER7mUg9GLwCgPw8FrAtp1YMQ4lCpXhv399l6XF3TzPDE2UkXN918MD16AUEMsAxd02JoqBlPDkP+Q5jQ1jCLdjH//GEA7dknXaJnP8p1FuDCYsXnOa8j+YGl13T+/f31596YkHLRFeMJ6xo+vQD0zRiamulRo+4MYewS5/mtK/taUhm48IEbLUFED7jfRxLG//zA8e0fXFjnEGwN1dxgbCwPsoluIQ0gmf/wRePKR99Irii9EJdlm+mko777z988fZhaWzlKVpWeVLuzZATmVi4GBQVhaRtnINEznOv1cM9xt+vvn35QtrD++frHWZWFjB5WBEB8LsP9zU4VepgYRoS7JxG506unfgVrzMzoDMIzB6AzAMI5ccrw2yKcCcHkJsjlYUZJBI3nQTQUwDM0VQccn/jnW/vLzW0ZI619AQibF4fX7Z4+/fnjbOh/UducVFoNMAsDbHLhiB018uK4IgmwMoN1swEAdE0TnSwMYGBggxwRReE0BfFGQiiAdrz1DS+s05kIyICSHRhvf6y5Xk1aH7sh/+/TJuR1baWz/SDEePvCvK/nJ0YQTufXPwMCgK/6FdgExOvBPu7AdBaMdgNE0gB4C1NwV8NUE3XRa8gf1OaGQbgC53o/tYiieRaZmslcEcbEx5Pg+z/QBHeWZ7/+HgYHh90/whgzwnALowB9IaxdCkug6yIqg4XdUKKQbQGJgEKscfkwQsRqopI7+lwZAugEfvoA6A5R4goPlg57EAy/VF5I80AuwKTFtsOmFbMVhZGJadQXa7i8M+m/o5snBw6Nt69BRAt2xM9icPbTcAznl892zJ5DNvmiOF2D/J8n3DE2QKtwBWfFPFZePGjJUwOgSoKESU2S6k4xVQHCbqLIc6P/fP/rCHH8+74EbSwfG49cMNfMZllYw2EIvuaeDncRaAVolAm5AE6uBgWHBbob6RVDla2oZTNWgbDIoslcEvf3Ce+Q2V9HEV5CzQUXlVX58/vj5HWjRP4+gSHEYRcfXWyn/Gl0RRGpsvvnE8GogLsZmY2Hg4wLdQEeqg8lWz8QEuh6BA3QNLtlmgDT++CNw/rnw8y+IxRsg0aGMG2e9+fwWdJ93TyX2jb9D2XMD7/a/f/7NOyz67tkTU5V/PALY15JpivzQlXhAdbeeeqbEyidF+WZfBgaG5xRMgI2u/xneYLQDMLzjl4GSDgAkaKjSDfj744su9xmIgfQhv/9i+PmL4fg1htJQBlHQ8Xf0sZZYW8DHbBKl+OpDBq8aFJV8XAyXZ6KIkMT5/5/hH4k9EIj5v/8y+NZx3HqCUp8ws7DUJFPh0svRjQGQQCaJ/P2H4eO3gekG8HAwcLCNdgNIii7qK66f9uLrR1AvcLQDQPXAXXBU8uWDe0YKv3kEeJhZcK6VcFd5Cz//BzS4Q7E7BnbFPxoY7QAMb4AzWQ9vb4/6jvgQoM6uAA6eq79s6HBtMNxfnGwMAjyD9ZxQ8M3BxCyc+fWHIbAR5Cd9JQY22MDlp28MW06CBMnDZK8IYmVmmJb7Q5AHUWgws7KKK6mT5ww0XaMbA9AChBgu/JggQR5ilFNTDWRjAJ1PC6XW3gBL2buOCm952f5RM0QGwiwuPn6ItSsvUScbQkwb4SRkxf/LB/dMVf7xi/Dhaf3L8qGc/gk6+Y2y059Pv9QcPeN/hCc/eoLRGQB6hvYA2EX5DADc0VSZCvj3+4cOxwm4mfRh3HjMcP85g6/F0FsR5FzOcAe8vvThYtAJMEv2MbQtZ5AQZDg5iTohR96KoM5VDDefcP5mFH34UxC0E4A6bkGYoiv920z5LYI/jFhUGSPEGh4j6pggai0Kev9d9Mwzwc+/EH1arGE7aAX71zI8vXVDRkOrIHDId2YGSSDP3i+Mf80PsjuRh/+RxRkYSD75bVAN/MP9MjoDMLzBaAdgeMcvFZYAIQcQ5X2AHx/F///7/e/He1OZ/cgm05o9qM8JZWDAuiKofC7DigOggLm3iIEZNrB09zloPbSsKEj833+G918Ytp9miHECccnDZK8IYmBguPFc6OR9ipdm43D36MYAHAGDT/jbT4Znbxl+gTZs41NGdbkBOS2UiQm0DImNou0noJC481b2/gfOodsNAPlh8OFpO7h5hUViTR8OPqdhdxGuUz6xq2ZgEGD/565G4PRPIjv8xx7YMXODTlJm5wHt6MBlIzHilKz4xzR/tAMwvMFoB2B4xy+VOwCQwCKvG/DjozhEO4T89/ubiTi9r/C98Zihffkg3RzMgHpdwPHrDBFtkKBiEOVnCLVjKA+DciHUv/8MIc0MZ29DeAysLAx35kPZZFD/UG0n3oTvvzivPuW6+hy2Pol4nUSoFOT6b6f+TYR3GF5gRGTLgIhAwqJkoPYHD1Q3gIudgYUZSziQJHTnrezwvjSApNCgRHFZ123IyaQMDAysHBwGLh7hujcoMZDWeonZ7IvpBjv5T0Se/4MnszOxGx25yQNp/cOtIK8bQN2mP8Qxox2A4Q1GOwDDO35BvqPiKiCQcWBMUh8ArekPNgBK/P32aqCmAgbp5uD/DJCLuyLbGY5dg4YShOpKYQi3hzBBpHkew4v3IAYyvjqbgYeCe9DIWxHEwMDw/Rfnrqt8H77D5imQ3UQxW0H4r5XqF0428AmkFJs2qAzA0zKg3J0D2A3g4wLNU1HuBeJNYGICpXwK7w5jYGAY7QYQH+ZYVVZPfPTz2zc0KTPfwEF7JRnklE8GBgY7A3Y8y/3RfETM8D+aFszMDh/4R1MJ4ZLUDRht/UMCbZQkCQzVtY8keXJUMdVDgJi7An58FIcgPLYzc4mdeenLxG6ERw11pSBXhukoMhhnD74rwxgYQNvIwJlydiGDpBBDsA2Dgz40AMrnQhkMDAylc6Ctfz1FhtpoBhnYMTw9axBqyGAxMTEwkdWG52T77m/40lzxFxmWEtTy4C3zshP8158KEVQ55BSAopusACfGpyJ8DKpSDGJ0PwLr7z/QyrQ3n+i6EunfP4ZP3xi+fGf4R9lieBXhx0GaN/TEvhITwqNq0EJg6VlFeOtfTltPSEoaouDU5vUQxqAiIZt9e1b+NFX552jCSXzrn4GBQZKX5LIOObMzsRsdf+aFNvCPFjg/v4hAEJo4Gvf5D4oO+kQzbZQ7osDoDMDwj25azADAQw3rVACeIX+4RjTG6FQAWoCAhotgh3UaZjG8A6+CebgYpOrGYwb3KhAj3pWhKQ7E+PmbQS0JxLDVYVhSDmJQiClZEfTwLSeNNgYM46NCydg1SHwU//7D8OYTqFFOvBZqqaT/pQEMDNCNARTOBvz4I/DkI+/ooiCSUsKc/cI3ThxlYGDQtLZLtnvFwMAwdRvn/YvnkUVIMpB2iok85ROXA/Bs/8WlBS5+9D50xT9chBgG1gkBWgz8wx0zuv5n2APwYOOw9+WoB2kWAmhTAQSH/HE5hJlL7OybIPpPBZhrgqYCptF7MwKuYACJ66UzbD6BmApgYICu/GFiZPjzF6QgoQdEMjBAW/8MDAzssBX4XOxQqd9/QVMEz99BuaRSTIygI97JGJvmZPuuIfkuzOSjnBDYraRajFc9/Y8K/fEHvNsar6uoJUnMsbDk2cXKAppNUpVi4KZgeRh5Vv8C9z3oeVoo5ArhT9+ocIWwivBjL9UXo7MBxEc9Gxf0tixOHujBtNle33mFQROU148eIt4cmqqEDPwTc8onLmegnf6JSxmmOBObEXmtfwYGBrTZgNGBf8zgHRUhFYx2AEgNsVH1WELgzS8Gspv+cOP+/md4w6X9lDbryOG2oDGEeBkWloFa22WzB8WKoNBmhg9fGJqWQJ3JyARy2w7wFWpMTKCdjmuPMECa9Uf7oWqQqVDwJoErDxl00xjM8xgs8hnUk5HlSWNTsiLIUeM1jVYEvf/GuPE8996rot9/cZLmHxJV//gjevE1ys51Eg0gWTnyIgGSNRPSwMrCIC/GoCBO79X5DAwMX34wvPwAOseWkBupKf/jFygr/SB5pQaKGzhYPox2A1BCBC8nzvwRRP7jK9DwP4StZmoBYfStgc1pQvgDQc7eL9yz8qcy1yNHE05cl/sSdJeW2CeCajAV/PzH8IJF4T+HIKYU8SKQbgBNB/6Jd8yoyqEORjsAQz0GB979Pz5K/Pgo8eYX45tfZAwZg9z/5+9vMenf3xnXX7695M5XhtPvGT//JtMokHGkYw1ZBgcD0Lh72WyGbygX3ZJuFmU6roIPzdOWRzKFkeH+CxA3wxtEFoHvABbhQ6z7Z2BgyIBdC+BswHDpPoN3DcN3WLvnxy8G+ViGebtAesnAZN8axsDAAJkKoFE3gNYbA+59VN/5UFaGi9w5FDLCGqaFpt0ALnYGlYHYGADpBrz5NADdgNHZAFjKogfNwQ0a+797HjxoAbYw0vCOlKoaAwPDs9s3l51TBosNAPH3z7+JG5jfPXtirctCdtOfAXz6J/zqX+K98fk34/G3jNcerv/DsklA9MOfv7+J14us8sV3hhffGX59Fvn1GTSvgiw1yh4NAVLB6B4AUkNsSKqn0TaAHx8lMINDhI2EYZ4fP7+JSH5//mYvpjkq3AzSnCQYhWkCGSIDfk6oQixoF6OaDMOeTqjzNZNBbSZGRoaHSxiaFjPM2QESvzCdAX75651nDM7gdf8NsQz+lgyGWSAFDAwMzoYM334yHIcdJXR/EZkbfKHGMYAcRl58fP/FeeIez6N3FJ/UCHcKEkOQ67+Jwg85kY9IYhQxf/wRvfxW8vlXVi7Gny6KVygyi2LNoK0gFBuCFfz+w/DxG8OrD1glaSs4UKeFsrGAtgdQ6LfRvQHNc979//dPQlk1zRnjGDIGhoUnZC7v38PAwKBmZomsoKQddBIoF79AUxaWWoPCSMGvnbxTPnGZSfzpnxATfv5jeP2D8Q7GrnJebsP3L4V5uKF3OUMU4ydfYDsIjY2X0qsDsFo6ugFgJIDRDsBIiGUq3waAtd2PFo74uwF//v7W1RN9/Pwu1qY/3CguZgYNHgZeVvKanXBjSGPArwwbkHNC/esZzt8BOTjVCzRSWz0fuu5/cjaDhymDagJIKsaZoRXMAHEYGKwKGZ6Cq4CHixl86hgu3wcJX53FwANeIBPVwXD0KkjkxlwGTorv7KLk1rDH7/j33QC7CeQcKmNBrv+eep8oPyr03kf1a+/5/v379/fPHy3+1+ri4HuYqexYko0brt0AHg4qtMhJCk1qXSH844/ArTcCd97TfVMFSb6ltuKaSY9/fEW0ZDl4eFtyoef8IFvVMu/Dh5egWUtTH/9w3ZsQqRm7+O6cPcXAwKDn6BJn8QQiSAeSvFM+cTmM1NM/f/5juPiB8Rvu/VC83IbyUtp3bmFr2iM5AmvTH0kexKRuT2C0AzASwOgSoJEQy1TzI2S1DzHG4VoO9Ofvb01tARaeB6cuz8Lf+mdgYPj2l+HcRwY67wqAnBOqKAnaHHz4MjF+paaaygioabO3MZTPgbb+Y5wZ/K0YcqdCpZoTGBhgK6R2nYW2/tfXM+y7CG39L6uAtv4ZGBhcDKG6KL8piQF8SikzeFsC1FBSKFmhj2EmH2m0Iuj9N0YKjwr98UcU0vr/////3z9/eFn/DpLWPyTYSQlpEtSysjBATgul//7gv/9AUxD0Py30xy/QgaGU7w3Qk3jgpfpCRXBAlwySENWUKu1Y8g259Q/abP3lc/VE6KJ/ZNNrkqBHz96/ADr/ByKV4faJhQ00AnEJPD8AEaQpCdnsS94pn7gcRtLpn59/M+Jv/TMwMHz+ev7K7SWsPPdU1HAOjhDT+mdgGF0XhCvSRsVxgtEOAM6gGZVADgHim/5wXWi7Av78/a2gzAZp+n/+iqgY4OpxMQZqV8CMAobLDxjKZjO8puMyCQtNhiR30Ak88NCoimRoAx/xueM0SKwsDCQLWiYOzrupE0CCfNwMRioMyb0gNgMDg7U2lMHAwLDyIJTNSr0FOIPzjCAGBoZjd9nWnREn48aADz9lTryQvfae7////39+g5bnCjJhWd4ADcqBoEAxDuv1Ud1+yP7gATkmCHJpwPsvDH8pO7+fpDD59w90RtCnb5TeVMDB8gHSDZDkAaUZktww5BS/ewadDdO0suup1BCSlAIdTfPt25StWKZBpFTVGRgY3jx5hLzoX83MEuLrFRdVIQzakYtPy/es/KnAdt/OgJ1HAHo2EeXWyQkgJkDwmPbzH8OTb4xnP4DGsPAog0vh6gZAVvzDlRHDGN0eQEwojaqBAHAjAsIcJUdDAFsIkNH0RzbmzS9GSNMfsseXpKY/3JwBnAqg/zmhDXEMtxcwLKlgWFfPcHMeQ4YPKBgewQ7VyPIFcSF40kYIzbC1mWHKJoZ/4KVSJ2EbghkYGH7/ZbjxGKTGD1rzgtjUwhSeEeSj91WABns8yDsq9OB1xvdf/0HG/hkYGHhZ/8oLDa4OACTW6NANGJBjgiCnhdK/G/DtB2g2AHK6LiSEySA5WD5Yyt71Un0xjLsBqy5r/AdfscYvKpZsDyqMqhL4IOd7Prh0YfkF9AZ9UQi0t3phD3jTEjhYk2xfgmmGF/fuQRi0ICED/89u3TBV+ccvwkfS9V743UPk6Z8//zE8/opl0T9+wzFnA4gc+Mdq7Gg3AGuwjAqigdEOAFqAjHIRIUBh05+BgeHP39/Siqx3f6zfeQl2sCXCeJJZAzIVIMTLMKMAdBYnPc8JZWFmsNNlMFFj4ISd638Ltmj2E2yx6OdvDL3ge3/9rRjkRBm6V4PC01CFQQLplLn8aSBBBgaGdvAcApSDRL3+yLBoD8PSfUhCpDApOSNImOczkZcHc7D85yJxHwipR4W6ab358vHjxzfv/oOX27P8+iDC+42UkKCrWpp2AwbwmCBIN4DOlwb8+we6P/jTN+hyO7IjEtINcFR4y8tGx7kMsp1LhMauZT9m7RVcdUWTgYEhTPfG//8gf0HmxyC669OgB9HcOXMSIoJMqpqYMzAw/Pv7d9oO0LlAUCnwbRcfXj6HcqlNzd4vXN59i8JTPnE5ipjTPyGL/p9QsC7s89fzWy4sufFtrZwKJ9mHBUG8MNoNgITDKIkLjG4CxhUyw02cpIOAiNnmiz+AQCd7yvy//QjlBngpnKsc8RuGLivDwaDMAx7uRpehIf/7L4YDFxgUJBgSXBm4sEx609BqBgaGW08ZXMpAVjgZMHQkM/z8w+BQDF01cWchQ8E0hi3gKvjqbAYemNtuPmFwqwRpKQ1lyPEDMdAwfH8wAwPogKD7i9DkSeP++8dAXpQQPCOIn+OvJN+vG6/ITD1Wyr80pQmc5vnjj8iO+zI/v//4+f0HNx+vvczdwdwBQI4YcIcFWYBq7AE8JoiBAZSM6b8tgYWZgYudgcIrhBkYGN5/Fz3zTPDzr6E6vlbWeesfeLwfVDIwMxt5eEfo3aqf/vLrB9C0WE+lBjyRTd7C/vDyRdDWXifXOHPwbCNcjoGhduqz759AR+Yr6hvyiYq9ffLkyQ3QiQRSqurwKQIk5RQx//75N2UL64+vX6x1WdjgNyNSZCSKZmK2/z75Rs7AP4o1DAwPUBcZSYk4f3rFzcIMu+sRTTXRXJK2CI/uAB4hYLQDMEIimqiDgChv90NG/bmFPz57jeVkT0hYU6UbMCAHBDEwgFbUtC9nWFrBYKsL8Q2dyN9/GDSSGX7/QbduXzdov69ZDki8OoohzYsB3gw3z2d4AW73PlwMkkXD5nmgq4LRBCsjGCC3DaCJE8ml5Iygt194j9zm+oDtGjg5gV+ygu+O3if/9EBBrv+akr9xdQN+/BE59kz6z+9fJhKvXn74/+w9o7POWyK9PBiU0a4PAFpFNsJOC2VgAB1MxMYycrsBkPM60RK2mW/gz29fL+4F3SeC9XxPBgYG5I4BRPvy8yrndm6FzKpBRCCkroNzvOVTCJtykrqnfOJyD/7TP3Gd9YnLNKziD1Cb/shq+LgNv70R5uEi4cxQZO3IbGJ6AqMdgBEChuoQxQiJHrp5kyqrfVQ0+dkF3nz8tw5P6x90HQxsEQslvoPsCrj6EbrSlBKjSNKrIQtaEUT/zcGsLAzdqeh3uM4pAh0VWj4b6oN0b9BSJUZwnt5+Gtr6X1MLlUWmVh6Etv5F+BlaEhgiHaGSE9ZDZxWgfBIpGq0I4mH/zcTIIM5N/j5LPBsDIK3/d5//yPN8EOJ+qyn9bmi1/iFnBIEXVpAYW8QpH9hjgr78YBiid4cxMDAIcr52Vb6lJ/Z1CC0KmntIDJ4ulI1MJVVAF3gxMDCc2rw+1uwRZNH/rVPHV14C7fGFqNSwtIEw5h4UhTDgZKThHT0nNyZmFrgIAwODmLwidVv/PSt/vnv2hLqbfZEdDLn8S5IPugcaTQq0Exp81ifmSf+YKvGI4Gn9MzAwfPp6/g/nnn9c9758o/TCk9F1QXhiYaQBcGNhpHl61L9IIUCtpv9/zvsnL83C3/SHW/vsO8MzanQD3vwegGuDB+qc0CAbhjsLQSf8cHEwuJswnJvG4GYMCtH9oBl4BlmkypeRCXo3MAcbgym0BgephOOyOSCmlDDD6ckMsc4MHUkMGrIgke8/QSSFmOwzguCXB2tLItr6HCz/udk+MzEx8HFiTH+Q6FDIxgDkM4J+/BG5817kw/f/KoLf1MVptS6ZRGeSqZymGwPgxwSxobTlyHQqSdr+/mOAdAMoPLiTJEtBZ1z+YvjwBXRYEKka0dSrCD+GdAPQxAcn9/Nb8JUiDAz6Tm6Z7p+LQ5nULawhTu1fxwg/xuf+JcQxbikOb7j4QSPT148dhqiEkFO2gDYwxZo9NPbwltfRExATF5VTMHDxKIsCiUPUUEJCNvtS95RPXO7Bc/rnk2+gK37xnPSPy0y4+IOv6Mt+4FJoDHg3QE6FzPWQcANHuwGjALTAbzQURmwIUKXpL63ICmn6fyLlZE9ImFOlDzDSpgKWVzHcmMswu5BBBFTngk7+gYz+Ih/92QTbcb2rHRLSKGQa+ORQBgaGLc2gpf8QOTUZCA06YxTKooyi5IwgE8W38DOC2Fn+MYGneUS4P3KwkLfLAMUnyEeFPvsiePsDB/ufLwZS4OvTUBQOSQ6tuwEqUgxiAugzUXQIqQG5NADSDfj0jTrdgCDNG3piuBd50CEQcVhR3nMXLsPGAW1ZsrBDm+mpjm+FpUHDA09vXv//75+4ojLofM/H2M/3nLqdi4GBYfkF1dopzx5cvjjnAGiXcLjezVzfXzXJguXRHDGmD+B2UcKg0SmfuJyE9fRPyFmfNB34x+qeT1/PX7q95B/XvdFuANbwGRUkHozOABAfVsNHJbWa/h//rbt0awkZTX94UFJ3KmBArgyj/zmh8NADLf+AcQ5dZngNnhzedZZhznaQqLc5aMsypHsA4oPx9ccMO8+CWLn+DMK8IAYEH78GohXJX2YP0o6GqbIiSITrF8RYJiYGaT4KDteAmAIm4SuCzj5l42L47qiKc3IfrHzoEWiRTl0PiPCBFp6JQe96oq7ZBEwb2EsDKJ+CUBF+PKi6Ab2r/pa03/j7+3ffatAJPwwMDEJS0Jt94VMBDAwMykYmkIi5dep4aQR0N+rFvTshggwMDDEmD3iFhBkYGB5fu8LAwBBpcJuFFaTsxvEjcDXUYkAG/mlxyicuF2I9/RNy2g8lrX/iB/6xOmy0G4A1WEYFSQKjHQCSgmsIK4Zs66Fu059awUGtqYA7XxmufmT8Ba3LqOU6AuYMyDmhcDcxMjLYgK/9evaWwTiLQS6aIaUPJMnOyjA5G8RgYGQA7QoAD6IzMDCk9oMFGRgKg6AM0ALfm9DOQ00UQpBaLApXBMkKgbs14HOKhLigbKq47f03xk9v37L8escIv1eZKuYODkNoOhXAwAC9P3hAugHw00IH5O4wqnQDvFRfDOxswKKTciXtN57fvQ1Jrc/u3FpxEbRYMEL/FkTk1qnjEAboDFCd6/I6+gwMDF/ev1t4XEbJwIiBgeHvnz8LT8DmDRkYxJWUQSdA/IJ211VNLRgYGGQ0tOCGUIVB01M+cbkQ8/RPSOufwmU/uKwjSRzSDfjwn5pnhkKaCiQ5Y1TxEAWjHYAhGnHkOJvCQ37+/P0tJPkLMupPjvV49VBxKuD4O0b6TwVoyDI4GDBsPsEwbTPDN+qMU+MNLyTJvgwGftSbLpmZGI5OYGBBuvoX1BxkYlh3lOHxa5DOLc0oS33ie0CCDAwMLoZQBtUp8lYE/f4LWv8NGc9mYgJtcaZkKzBWTz14y7zsBD/yxgCsyoaoICjeYX0/qnsBvj94QLoBkI0B9L804Mcv0N1hFHYDOFg+qAg/HqhuwIKjkpf2gc7zgSQJLj4+XQdneNMf0nZnYGBYcFQSooCBgSHXF7o96PKBPVme39g4QIcNX96/B3JLAGit1JcvEMWQjkSU0d2eSo2CQKoNxvz982/iBuZ3z54EeCtT8WZfiJvxkALs/wQ4wYUmTNHPfwzH3zKS3fqncOAf5gp0+tLtJV+YNonI/KP86gB0o0f5wxeMdgCGb9xi+OzXF+FfX0ATtRgyRAmwMLPeu/mBKKXkKqLKVAADA8OATAVwsjF4moEaqRrJDIcvkxsEpOsTF2S4PItBGrTaFqTZxZDhymzQQm0GBoaXoGO7QYIQXDgDQjPoKkAZDAwMaw5DeyxYzwtCqKOYRcaKoG/QVgfUbmYmBjZqbAOAGodEIW8MQBIeJkz6dAPof2w/aEx6II4J+vcPtCvg0zeGX5TtSx+obkCC9XNmFuhublVT86ZsKeRjedJdPnBwg67uunJoP7x9D9qgDzvtZ85+YfjO4FOb18/cIzB1G9eTG+BFhAwMjJD+OvWyDmTNT8/Kn7qSnxxNOGlxxj8ex+pJQDs2EDVvfoK2/ELYZJD4j/ohw0BkLXzchneuvaXkxoAfn8R/fBJHNnOUPbzBaAdgeMcvFt9R0gcQ4BPjZwqSEnXGYi6VhIb0VAComhygc0KPT2S4t4jh4VKGeSUMkKbYot0MpjkM62CrcBfuhsbQmakMyGteimeBxHk4sZ8XBJKjKiZpRRAreBIDsgmYAXxAu4nSd3NF6DIDqrqLAb4x4M1npL0R1LVjQE2jdTdAXoxBQXxg9gcP1GzAtx+g2YA/fymK1wHpBshq6YDOAGFmTnfBsqxOzQy0gIeBgQHerGdgYICf9nPjxFFOXj45LehNKLdPn7h/8RwkCPhFxcL1bkLYVCH//vlHh1M+cTlVgP0f8umfT74xXgFda4ZLOT5xGg38w63k4zb891lWgA/pMDi4HHGM0ab/CASjHYARGOkMlEwFsDCz/vwgwvwddnQ8bcKPilMBp9/Te1fAQJ0TysKM3LBnqFkAipvZ20AkAwNDA/iiXw1Z0OQAqC0Izvr1YEEGBoatzVBl9KGIXBHExc6gLQe66ezjV4Y/fxikhBj4OL9rSL4LM/koJ0RZswuHPyFHhZ66S/5EGQ6DB4swtcdnUfzFxT6Q+4MHqhvw5fvQ6wbkeIPWKf77+3fpWSXQHV4r/9ROeVo98dFk8NmdcRZPILuBn92+ufyCCjyOVY3NIeyPr1/m+f8G9SKQ0hMrO3ttihBEAeUkfODfVOWfowknMwu4wKLcXFJMQD79k5Jbfh/Q8vAnPm5Dhs92TN+UyB77Hx34H7Fg9CbgERT1YcHgC2ORfMzGQ/6Np3/+/sZ/4y+SPeQzqXJtMAMDgwo3gzQnFQ6RJMkn338xPHgBQqWhDKL0PTXl3nMGhxKQY89NAx0Y+uELg146iLuwjMERtJ0PxH7+jsE8F8TwMmOYDmaAOPTF//4zELzI9vN3hquPGMT5GdAOKXr8jn/fDeiphbRwtZXyL1yXB9PCOjqbSTDYKXTPm08Mr2i7YBCnA5mZGPi4BmAugoWZgYudClcI//gjcOuNwJ33oHX2OD1JsURV/4NfP35w8PCycXB8eoNY5s7Cxm7o6hGudxNyJTAnD29zLvRoIAYGhpKOmwz//3PzCzRmgY4MW3FR7fWjB39+/eIREk51JL82QfPN4tPyz27d0JP6JiAmOCBNf4h73FXeCnC+puSWX5o2/RkYGCAD/2Q3/UGbNzDW/KxaOwXi/VFy2IMB6FUP+zAdtB7EzNgjbSrg82+a7YjEFuuQqQDIOaHrj2JTQTMxJUmGR0tBBwFBrguAd334QOd0Q21NhO397UmDitCfIn5F0A/E5WBQZ8oKfQwz+UijFUEMDAyQjQGjK4KgwU0iJcLHoAq+NIBEfVRQDjkt9M0nStfok+qUP39BUwFfvjP8o2zvKwfLBz2JB16qL1QEQeP0pDqDSPUalrag9t+Xz8itf/BJPj/P7wYdJAw5w+f7l8+z9iJGL5iYQG2G37+gu3Mi9G/l+v4qDGagVusfMvAPOeVTWEp4AFv/kNM/f/5jePyVkbzjPmna+qfRwD9mI4HI5DSqbCiC0RmAoRhr5LsZcxIAYhaFUwH/Oe9TchsAxA34yaE+FfDwJcP95wy+Fgy20KWz+L1LZdm3nxgMM0FmmqgxzC9h4GRnyJ7MsPMMSGRCJkOQDQMDESPxINU0w///gy41w2r8z98M5+4yCHAzaILuI8Ki5PsvzhP3eB69A+8YwCJPqZCC8F8r1S+cbNS4vJpSt9BEP01nA37/YXjzieE9yl5KmvgCq6FsLKDZAGZQqxWrPK0EOdhAUxDg1jJFVvz4I3D+ufDzL6Bj9SkyCJvmyr4Hv39C+xh6jq5MzMw3Thz5AT7Ph0dQqCFDrLTj5n9w4lA3t+IVFvn4+tXt0ydAA88ionWp1F8mN3u/8LtnT0xV/tHznB9sAQMSc1d5y8n++uIHcg78oWnTHxT+3Ia/3ktwsCMN54CcTALGteJ/tAMwogD0KIAR5edRz2KGAGRnMHndAND84y815u8Cfzn3Y5pMLZFn3xmo0ge485Xh2Q9GDR4GXlb4sDi13IjTHE42Bg3w4vvNJxguP2BIcGXgou30PrpLhPlAO4O//mA4c4tBF2m8n5cT3PoH3yjGyAhejUO/UEFxJOiMIEZQHwDc3kCRYgc3fjBnAOCKONm+O2p8f/uF98htrg/fqT/J8+At84O3/FbKnMN1RRBkITdmyMNDmBIGKwuDpBDo3oBn7xjofGonAwNoEuDNJwYeDgYONpSjbynxETF6f/wCnRTEwQaylxj1uNRwsHywlP1Ao26AkqHxzROgqUkJJeU4i8cgN5jK1Ex68uPrly/v3zEwiOk6ulzaBzo94ObJY4yMiOFCMQUlBgYsu4dBJpCF//75N2UL64+vT6x1Weh8zg9W93Iw/fv47fWt74Ox9Q9a8c8oygG9qRmr8/EJ4mr649MzKjdMAd0HRoZpOA4Pb0G6AeT5RYBPjPufL2hekjz9ROii1gFB3/4ynPvIQOe7AkC3bPIOzDmhkKCdVQAakoSwISQbK8PVORAmlIRvDoby6U7hWhH0/z/K/mas7hLm+exv+JLWK4KG640BoD4g9btOiIhiZWEYqGOCBuq0UNACm18MH76AegKIgCCLBe4G3HVUeMvLRtnqIlTbUx3fsrCycQsIcgsgNu+25EGv9+pZ+TvO/LGamSVEE2QqgIGBgUdQKMOVaq1/yJqfgTrlE+I1TFKY/fv7XyS3/ulw1A/HL8/Ro34w42tUhDyA6NOTp39U19AKAVxLgJB9Qd48AMSEP39/f/n6nqZTARCLqDIbwMXMQOepAIjjB2pz8JuPDMFNDPdfgM7VSXBjKAuDOAcbOchWBB27DrpgwVIDm1MxxGi9IkiQ67+d+jcR3s8YNg8TARpNBcBDZ2D3B3OygWbD4I6hD4MJdIUFpbMBEKe+/y565png5180HLxrmvXm09s3zKysxh4+YTrXl19QvXf+zPfPn1k5OMTkFTPdqZbyYQP/X+wM2AdwuT8kYOEkB9M/Df5b71gZf5ISxrRe9sPw2Y6Spj+oO4qx3xfuZThjdAnQiAKjS4BGVHQT5VnIPAB53QAWZlYBPrEfP32/Mm0myjJyFVFlRRBkKkCFm5HOBwRBNgczMjIYZzMsraDfrgARfoaDvaB1PpAlH/jCnhHU4AY1BAfHiiBOdhKGUWm9IghyVKiCMIezNuLsFHyBOdTkIMkDFPu0cbkIH2hF0IB0A/7+A90t/f0XA527AZC7w379Ac3CcbBRFKyCnK9dlV/feSt7/wMnFbsBqy5rhOnegLiMk5//09s3f39D991HGtxmMOBnYOAHy1Kn9f/3z795h0XBK/6/D4YV/2CvQQle1l9/GRkGT+ufj9vw0wteSlr/o8t+oFE7SqGC0RkA1PAYATxiJgEgwUBeHwCilz6HhDIwUGdjwEibCoDEEZHkf2ouOiDSThRl//4xnL0LWsxtqMQA2Q+AIo2Xc+O50Mn7lDW48Jo/vI8KZWAAdRfxBgBFkr//MHz8NpCnhUL2BlDkB9I1U3E2gFrdgI4l3z+9eaXv7Baue3PlZY3zu7b9+fWLkYmpu1yNdP8R1gG53mvAT/nE5VA13rf/ON58JuVMAdoN//9+by7ILw7aaIfLuYTEiW/9jw7/jzQw2gEYaTHOQHwHABI0lHQDfvz8RuupAGr1ARgYGGQ4GJR5BmDE+91nhsLpDBOzGAKtIUE+6EjQYPAABAwiHE7fJrMDwMDA8P0X59WnXFefg7cSI4ykGkuQ67+Jwg85Eaqtiqaay6hnECgBUM80NJMG9piggbo0gIkJtCKIjRpz8Hfeyl56xY0WqsRzZ+ziu3P2FOhiYCYmXhHR758+/foBOvCKg5sHvh+AeNPwq0Qa+B8UR/1gupaf9bciz93BsP6H/gP/ox2AkQZIWeM20sJm1L/gEICsCAIzSSY42Ln4mYKkRJ1J1kmKBmptDn7yg+H0e0Y63xUA2Rw8o4DhxXuGstkMhy8T9vmVBwzTaLvACt0N0M3BtNwkim4lKp+DjYEJvCoJVZgoHifbdxPFtz56XwVocxPc+2+Mu69xrjsj/v0XDW8lI8qrNFMEWRREI+MhxwSpSg3A0nwGBoaBujTg3z+Gbz9A9wb8ofhKaxXhx0GaN/TEyLxvNsPtE7+oGAMDw79//z6+eglp/TMwMKhbWBEZ451Lv3//DD1OFI+WBUcle1b+VOZ65GjCOdiW/cCdLc7xiaT1PzTa+Pv1tf6/z7Kjy37g8TLKoAUYnQGgRagOajNJnQGAe4aSqYAvXz/8ZNsJN4pGDKrsDGZgYBBhZdDmH4AR73efGU5eZ1CQwHlO6JUHDIcuM/BxMljroF+LS6MgRTd2gDYH334GOkteWw50pvu/fwxkx83oiiD0CCWRT9OpAAYGhm8/GZ69Bc32kOgu6igfqEsDmJgYuNgZWEhZc4LVwz/+CDz5yEvebMCsvYJ3z53+++cPAwMDMyurvLZeliexPYpfP36/f/52wTH+PD9GTl4sJxzDB/4HySmfWEOPgYEBsv33Cwsjket/HhAbQrgsxCJO/4F/uCNGZwBGGhjtAIy0GCd5CRByAFHSBxhyuwIUuRhE2MluaiIHG2nsG48Z2pejbw7+9oNhwe4BbfojeQLUCqRvwNx+xvD2M4OWLKgDAFmY/o9cB3z/xfnwLSftNgYIcv3XlPw9XG8MgKQCUAKAsGhDDsj+YLhXeDgGZi6ChRnUDaDK3WHkdQNWXdH8B+pe/4/QvwUPDeIZ8G5AYTALGwd0xR286T9IrvfC7x1F7k/8bM+IX/9D9Q4AH7fhv8+y9FnxjxkUox2AkQZGOwAjLcYp6gBAAouSbsCHT6+GyiGhAzgVgHxOKDcHtOmvp8SgpwSJgUFB0nNzMKQDoCTOICaA8Ps/CqYjRo8KRYQjuazRbgC5IYdP34B3A/A5jgi5z++/fvvwecEx/sJgFmYWZvD1XoPrlE9cnoAM//9iYnwL7bzgUogQp2IHYAAH/uH+Ge0AjDQw2gEYaTEO8i/Zq4BAmsGYkj7AkJsKkOJgoPM5oeAwZoBMBTAwMGxpHlxNf4jzQCQFTXCQdqLx4zcMT94wKEugdAAgukFDlhAW6SStVwQpCP+1Uv3CyQbaUkm662iuA7L6nMKVJzTtBgz4MUF0Pi0UHuUcbKADQwdwNgDuEvIYH159apn7TFROfkgM/EP8KMz6Q5LzwQ82xs9E78ymVgdgYAf+Id4fbf2PQDC6CXgERjoVvEzJzmAWZtafH0SYvztSwR14jXhGjXbXt78Md74yXP3I+Ivup2FqyIKOBmJgYFiyl+H1B7xeHShJRgZGJgbCl/RSyXlYt6IyMYH2B5Nng4bkuzCTj7S7PPjBW+ZlJ/gH7eXB77+AdlaQF3RwXVgjBS5LIYOVBXRjgKoUgyAPhSaRox1yacCbTwxfCW9wJcd8PHp+/ALtD/7xC48SoqQ4WD6oCD/2Un1B9hZhoqxBVfT3z7+Zu1mtdRg4uHkG7WZfVCeDePysX///Z/hB9FEHVGn983EbMny2Y/qmNFDLfkA+H8UjFYzOAIzEmKd8BgAeaiNnKoCBgUGFm95TAR++MNx+xiAhyFAzH9QZGLTnhILW5dOyg/TpG6ipKi2M7x6AQb4iaBAeFXr/BcPP3wwasvDcTBGDplMBDAwMv/8wPHs3AG1xSKAwMzEMyKUBDAyg00IpvDsM4gVKtghDTCBIIq/4hygeKh0AXubfclx3/zEyvOMitgfwgOIdwINh4B8STQwMDKMzACMQjHYARmCkU2EbAHKoUdIHUGR89/7j27uc55ANpAWbWgcEcTEz6PP/Z6PXzBkLE8PxGwymagzffzE8fMlw/zlDaSiDKNI6eFqEFdlmgpqA5O7NJdtSNI2UrAh6/I5/3w0aHuUpyPXfTv2bCC917lJF8zip3N9/GG4+AZ08IyfKwIXl4BZSzYOqB6UBKJMm1MAeEzSAlwawsYB6ApSH6Y8/ArfeCNx5T70oh7lpwVHJlw/umar84+ThZGZh+vjmEzML81DpAChxveVkfv2NjfEbXTYA8HEbcr9kEOQTfvYfcr8yLBBJoYm/4YsYU0c7ACMQjHYARmCkU7kDAAlBUrsBiozvIBoZGBj+/P1zj+PDp6/n4SI0YlCrG0C3qYDHr0GtNBdDaHjAzwnN8oWKDEKKnpuDsXr//3+GQXtGEAMDwyC5PPjDF9C2Cg42Bk42BmkRrAFJviCtuwEDe0zQAJ4WSsVuwPnnws+/EN3axZsW4AP/yKd8vn32loufm5Ob+j0NvG4hR5Kd6Z8KN+jgo48cjL+JPoyV7BkAPm5DkQ/cHOyIkCG1G0Ddpj8kyEY7ACMQ0GskcwQG7QjzMvG7AhQZ3yG3/hkYGFiYWdR+iyh/N6J1mFFlVwADA2hXwOn3dNoV8O4TIlSEeBk8zRgYGRnkoom6Mgyhk44sRiaQC+loIbpVjIwMzOS6gZPtO2RjgJwQxfczobsLyj92l23dGfEB3xjw7jM0mt7RYEICdHMcsSspoMFCEiXCx6AqhWVHOEmGkK341x/QgrRP30CXiJFtCBka//1joOLeAEvZu16qLyR5fpPhEriWv3/+zd4vDL/ei40d0aP48/s3M4UbzOHW0JghxvYFdA8aIwMdWv+SXwxlvgsjt/5Bl9kzfpRiJPYqcVq0/mkcwKPGD1IwOgMwSCOG1s6i4jYANKfimQpAa/ejaWRgYPjx8/sjnq+jUwHwkPn+i2HGFobCILgAlAE/J7QhlprrN6CmU4kCDQMP5RVBb7/wbrnETaXAwGLMAK4I+v2H4doj0DkzrCwMv34zKIjTKhWB0gAWr1NNaGCPCWJgAG0MGJAxbiYmUPRRa28AebMBf//8g5zyiTzwD4/ap7duiMorI3cJ4FKDigEf/v/JwviZnSinkTf2jznwj9UyPLMBtGv6jw7/j0wwOgMwMuOdhr7GOhWAOeqP1QUc7JxDcSrg829ajXZysmENJ9CyDU05BkVJBo3kQTwVADkjCLsP6CRKyRlBwjyf461e0O6MoPffGDee5957VfT7LxpuPMAa0L9A971CZZiYGN6DBkChXOpStJ4KgB8TNCCtcAYGhi8/GF5+GICtyfDZAOSoJC/uOFg+WMredVR4y8tG7EZ++MC/ruQnRxNOXK18Zmai19OQ53Rq6OJhhp619IO40z/Ja/1jHfjH6nwpHLMBtGv9Y3XGqOBIAKMdgJEQy/T2468vwvBuAJFNf2QnCvIL6/y3QRahBfvZdwaqrAj69pfh3EeGp99p1Qe4cAen7zVkGWYUMFx+wFA2e7CeE8oAOieUpidF4gwdmAQlK4IYGBhovSJoQI4KffkeFDqQeGGiVcoFWQHBdOgGyIuBFgWxEdeGg7iKiuSXH6BFQfQ/LfTfP4ZvP0AHhkKudKDER4Kcr12VbxHTDfj751/Pyp/vnj2xM2DHs8f36BUGZpYh0MDgZwWd5vOPlPU/JIUzH7eh5BdDQT5hknQhdwN+fBIfbf2TFHqjiokEo0uAiAyo4aaMdkuA4CGlwPiOnectnEs84/fvv79kFG/dfPCD+RYr+2PiNZKnklo7g7mYGTR4GHhZB2DVy+PXoHNCl1Yw2OqSFwb00AVaDTIAYYPiNUrOCHr7hffIba4PNOvpCXL915T8rSmN2ByP4nSqcn7/YXj8muH3XwYOVgZWFgYBblotAcJ0NSgZYIpST+TjN1BnmPJxcfJcxMwEmp0bkOkIJiYGLnbQsU7kuRxZ1523svc/cH7+hd58h2/2HULXeyH7C5MNOf0TdMgsM+NHxKZcTIUIEZJmAH5+UWb/q6SpJcf4/CHCCFJYPz6KP2Mg/6QgIq0aXQI0MsFoB2BkxjtNDgKCBKUC0vE+DAwMJPUBIE3/Q/uuQIxiYGBg4/nJL3kBzqUdg1rdALodEIQWFEPinFBaXxeAFiZYuZScEcTAwEDry4PpuTHg9E0GJiYGY1Ws4URbQVp3Awb2mKABvDSAhRnUDaD8CmHQUQdvZS+9QuyBgZzyaaTwm0eAZ0gM7ROTgiGnfzIwMBB5/g/xrf9/f0R/fBH++gradhcV5yOjG/DjoziyL2jXExjtAIxMMNoBGJnxTpMOAFrTHzlkCXYDMJv+cO3MbH95JV6OTgXAAwQPY2icE/qfgWHApwL+M5DdBv3+i/PqU66rzxEHnuCJEfKk6HNU6AB2AEBdQRqngQHfHzxQlwYwgO8OY2MB9e7IS37Iuu68lT3/jHPeYdF3z54Mm4F/iAfh23+Jv//rAWi5EEQ3CqnAzYAs9fuH7OcX4n9/oW+BIL4bgNb0R7aMFt2A0Q7AyASjHYCRGe8gX1NxFRCepj/IJjDG1QfA0/QH64MSnIJfeUQQMwNQURpQQ30qADRK/Rh0ZZivxeBeEUTshkMaxDHMyBG+ImhgOwCQSCC7GwbRTpAc8G7AQF0awADuBlB+TNDBSwzbTjEoSAk8/CVBMLSHlgJZjk98rM8oX/+jAJ4meQDuG6AN/GMNEILdADytf7iBVOwGjLb+RywY7QCM2KinziQAMU1/5CBG7gYQ2fSHax+dCoAHBUHGkDgnlIGCYXiCIUCkgpG8ImgwdAAg0USHbsCzdwNwVg/Ed5DTQjnYQNdTwEXoxuBgI/MK4W8/GRbsAl1A7mjAIMTL8OOPwPNPvOdfglu7dHM9zSyCD/8zMDAQfwEwpJWP7Ci01v+HJ/KYA//I6pHZdo46aHsDiGn6I5tAlW7AaAdgxILRDsCIjXpKOwCkNv3hAc3O85bUpj9cL6gqFf3IKXADWYRGbGpNBchwMCjz0Hi5A44guPGYoX05w+jmYBzBgxD+R0FX5PsvzodvOU/ex3FiK8IS8lkKwn+tVL9wsn0n3whsOgdPBwDiOlp3A779ZHj2lmGg9geDyi4OhoHaH0zSFcLffjKcvgka+NdWYNCQhUQOlBw23QBh1h8SHA8gviJyAwADA8o6H4heSAfg3keUFf8QKSJJeDeA1NY/3HwKuwGjHYARC0Y7ACM26snvAJDd9AdNtv7580tC/eCeaxyCoLlX8kJ/dCqA+HCDTwWUhjKIChCvj94q/w/xFUHff3HuuspHuzOCGBgYqL4xYLB1ACBpjtbdgDefGD58GbBuwMAeE0RMN+DbT4bGxaCo8DJj4MRxMdYw6AbAt//+Y2R4z8VIzAgNruH/f39EL9wkYeAfFLio+NtbeTtnrX9Pr7OykH+QLdndgNEOwIgFox2AERv15HQAqNL0h4c4JX0A0HDaUJsKEGFl0OYnpqKBhxDVGKPnhBIZlIN/RRAVjwodnB0AOuwPZmAAHdv/6gORiYL6ygZnNwDPwD/WIBi63QD46Z8MDAzf2Ri/wfbz4ymdMVv/DAwMcuyiPz8Lf33Nfx+8AQBrKBEU/PZWHq5mQLoBox2AEQtGOwAjNupJ6wBQt+mPHOiUdAOG4lSAFAeDNCeeigY5bKjJHjJTAaScEZQ9hWHLSYaj/QwyItQMq0G+IohaR4UO2g4AJC5pPRUw4PuDB1U34NI9hqX7GOTEGXTkcQ78Q+IFjRyK3QANvrfM/19DPPKJg/E36mk9mKUz1tb/vz+igu/l77xH1QwxlDgSuemPrIPO3YDRDsCIBaMdgBEb9SCPE3MQEIVN//e8cmeO3wdZhhtT0gcYnQrAHa5YZN59ZiiczlARwZDli0V28AgRuSJIPhbqZDUZht3tUDa1KErOCPr+i/PEPZ5H78hvHBD0ha70bzNlci7ag5s8yDsAEHeOhG4AHxfDgNxhzMQE2h/85y/OFf+QKCCG/PFH4O5bgZvviLtMixgTaaaGm+WfmeStv+BLlL/+Bq3/wWoVvBuA2fon5qgfrGYiC+Jq/cPVqGmLi/19RetFQaOt/5EMRjsAIzn2CUwC0KHpDw99CvsAzGx/BaQfMrFAB3XgxlKdQa2dwVzMDAM1FTBkzgklNBVw5QGDdy1KDDfEMiS6oYhQyBnkK4Io3BgwJDoAkBikQzdgYI8JGqhLA3adZThwicFUnUEbsQ4FEuTkkEOiG6Am8FWaF3rB/Ps/jC/gLX1sPv6PsfH33x9Rko76wWYqA8HWP1wXrbsBox2AkQxGOwAjOfZxdgDo2fRHjgAKuwE8Q3BXgCrvfzYm5DCgE/v7L4YD4BuWG2IZuAbxsB3+qYDP3xnm72LoXYMSaDfnMXDAFvWiSJDLGfwrgkwUfsiJfCTVf0OoA0CfjQEDfkwQPS8N+P6LYd4OhqdvGRz0GQR4GJgYQVcIs1BjyurHH4GLz4WffqFqJiQ1ceNQDxn+h0j++c9w+w8jhI2HhK/vp8/AP1aXiEnxKnJ+5MK1KRurHlRBXFuERzsAIxmMdgBGcuxj6QBQ2PR/9F/05tUXlIQphX0ANp6fvKJPh9BUAAMDgwr3wOwKgEwFDP5zQgleF3D7GUPJLIYLd6Hp7tIMBn4aHFY+yFcEkXFU6NDqAEBil9ZTAQO+Pxi0ppHGp4V+/8Vw+DJo4F9XkUFZChKuUJKFGdQNYCLcKoaqx0MNzm6AHM8PZUHo6Z8v/jK+J+LwMUgH4N8f0W/vxb+/p6hkIX7gH2vA0qIbMNoBGMlgtAMwkmMfpQMw4E1/5JigsBsw5KYCuJgZ9PkHbCrgwQuGBy8YBvs5oXhXBHWvZpiyCZqCHoIPMWRgYLh0n0FPESpIFYrCFUFvv/BuuURRA4KgL0g6KnQodgAgITB4ugGnb4Gmm3SpmswgfuShTTfg+y+G5qUgGzxMQRsAQCwMTMVuwIfvomefCX78NRCznBj+YmBgMBF/y8sGWilK5PA/AwPD/a8MlC/7obDpj+wV6nYDRjsAIxmMdgBGcuxDOwCUNP3/yWnfv/uMwlF/rHFAYR+AjecnvyR4jQtW06knSK1dAaNTAcTECeaKoH//GYKbGM7dgeqGt/4PXGKI7wYJwkVAHGpgSlYEgWZdngvR9NYwQa7/RB4VOnQ7AJBopHU3gOAxQX51DL//gNwiJ8aQG8CgowBiUxFT95ggPAP/WN0MukKYSqt4Bkk3QJTjt44odKKQyOF/BgaGux8pXfRPxdY/HIhJ8cqwvOXnI39AAbIoaLQDMJLBaAdgJMc+yO9lIVEgilz8+u3H049puISckm4AM9tfTv4vQ+vaYC5mBg0eBl5WvBvTyI0s/PqG4jmhf/4yWBcxvHgH8hkjA8PN+Qzs4It0XrxnMM8DCUKwvxXDpEwIk2rkIF8RRMxRoZ+/Mfz8zSDCT7UwGRCD6NANePOJ4f0XFM8VTGe4Cd1HChVnZGToTqPOVlqoiTCKKt2Aqw9Bp3wqSTKoyeAc+IdZiEIPp24AGcP/v3/Inr+OukwKJXgIcGjR9IdYKSbFK/7/pYgwRbl3wlrYbCnE0FFyhIHRDsAIi3AM704I9WZgYHj2n/xy5PefP5Qv/cdwF0KAkj4AAwPD6FQAIiiJYA2Zc0L/M7z/zGBbxPD5O8hXYgIMpyeDGBBsng/tFUC4EHJtHYOJKoRJHZLyFUFHbnPR9PJgMjYGUCdo6GsKrfsA4CvMGeDHBO2/yNC1EupDFWmGJ68ZfvwCcZmZGLa0gBi0wMxMDDwcpLXdIc4gdeAfoguNpGI34P472XvvOem/KAh5++/jP4xfiBhj+fZe48oD8mtGmrb+1fi+UHJCqAITaNSkYPVWtIge5Y4oMFhW5o2oQB+EnpViJPkIEbgvWFlYlFnfm8r+gItQl/HjvdSP9+SPwfz6wv7uocnvn7LUdRWmac++MzwDN0YxpUgVufOV4fR7xs+/qbEXj0S7hXgZZhQwMDIylM0G7RQkUTf9lJ+7w2CSA2392+qgtP6Dm6Gt//X1DP6WCCdRZWsjwjgGUCgxM4FIZEHi2cI8n/0NX5orghuPxGsjReWDt8zLTvBffypEiqahp5aRkfxYINK3rCwM8mIMCuKgA/t3noZqindjmJzNsL6BQR1cuvz9x7D5BFSK6tTffwwfv4EuMP4FXnREpPm7zjJYFzC8/cwQYI2+35dIEyDKfvxi+PSN4cdvCI8iUlHosbPyLUPxrxSZQrpmaR5o6fznPwMxrf+rT8lv/X97K0+71r+u5DdtoR+Ut/5JD8JRHcMNjM4ADLcYJdU/kBkAiC5K5gEYGBi+ff954CbEJJqQFE4FcAp+5RG5QhOXoRo6PHYFQM4JVZBgSHAddOeErjzAUDaHATLuWxHOkOmDiIApmxi6V4O4i8oY7HVBjHN3GGK7GEzVGBaUgLg0whSuCLr6lOvqcyotuMbmQ0Gu/+QdFYrNsEEtBkkVNHVifBfoCB0GBobtbQh7Ahug8wDIgghpqrKYmRgEeRiY8Q7foZ3ySS37mRgZ2FhB+56pYuD9d7LnX5K/ip14N5A0/P/vj+j1l8JfX5E59k+7pj/l6/4ZGBggY/+QoBudARjhAG8RMsLDZuR5X4rxIyVTAVyc7K46zOraEjQKOQqnAr6/5x6dCiA+ajjZGDzNQAOrGsmDayqgeSlD6Wxo639tHUOWHwMjrBh7/Aba+leWYhCAtSuMVBjOTGGYmY/w+r0XDHN3MKw6hBChnMXEBDpJnTxzONm+myi+9dH7KsBJxLoEsux4/41x9zXOdWfEv//iJMuAIaOJDrMBnmbQ0Lj6EMpgYGBIAy2lBHH714JImuK//0BTAe+/MPzFdorl918Mu86CjvoR4gMN/AvwUNMt//6D+jlUnA0I0rxBh9kAYQ7oPNv3/wQW//z7I/r1vTh5rX+aDvyrC3/UFvpBya5fBaZ3yK1/aiaLUbOGJhidARia8UY9VyPPAMBNpXAq4OOnr0fvgTdjwk2kKoPCqYAhd0jowB4QNHg2B//7zxDbCe2NMDIwXJwJusAIkbL+M8jFIHgMDAwSQgwnJ6KIMDCALg++Aj0HHDSGem8hugIK+YP8jCAKLw+mMHDorJ1GswE/fjGoJ4G8UhjEEOPC8OoDiM3AwADfGdwQx2CuARWkNYV2Wigxp3xSy0lMjKA9CWzUKOl//BF4/omXdrMB8O2/+Ff/w4/7hJz9T1JA0XTgn/L9vlib/qMzACMcjHYARngCAHkfax9geO8MZmb7yyvxkpUd9SAPUGBQH1NrRdAAHhAEOrzyMcPAXhn28zeDbSHDi/egCOJiZ7g0C7QaG8RBwgXTGdYdAc1awFt+gdYMEzIQKvQzGT6gHufCwMCQH8hQFIRQQxUWhSuCHr7lHCRHhVIlNAbQEHhKINUNX74zcLIxMOO4GTekmeE0eLnjtTmgdAg5JujMLYbaBSB75MQYZhaAGHTDPBwMTEygvvGBSwyY13vR1BnUvUKYFt0A+Omf3/8zPsC9gwLe+oec/U9SoNG09U+V/b6Y3hlt/Y+C0Q7AaBpgwNUBoLAPwMDAMJgPCQXduCn6cWgdEjpipwI+f2cwzGCAbH+UE2M42IOzZTZtE0OyJ8OJ66C5AgbwPt0Hi6B5vHU5w6xtILaEEENpCMPVhwzzdoK4oKO+FzKwwNYRQYUopig8I+j7L85dV/loekYQMUeFUhwMg8IAUrsBWikM336C1nQVBDHk+IMYaN54+obBCtzEt9VlWFIOkvz9B3RMUMtS0PIbBgaG0jAGJwOQOH3wkSsMu8+B9iIbq4JG5eljKbItg7kbABn+//Of4flfnOt//v0RfXtPCe4j4mcAaNr0p9HAP8Sbox2AUUDtSm80RIdXCFCyJYCBgUFUmN9Vh1lcipdGoULJ6UAMDAxfXvOP7gogPmo42Rg05RjMNRmMsxmmbSZeHxVU8nIyZPiCzHEyYDjch976X3eE4QL0eh/QlgB2VgZ7PQYDZZD6//8ZvoNX/z58BW39K0kwHJ/AEGLLUB/D4GoEUsPAwPATrAbKoRLFyAhaYsRI7klOnGzfaX1G0PtvjBvPc++9Kjq6MQAe555VDPIxDF9/gDaZ/P3H0LuGIaIVxIYrgDCkRRjC7UHMw5ehS4AgxwRNzAIJMjAwdK+CMmhN/fzNsP4oqPWvr8ygIsXw5TvI8bS2FNP8f/8ZvvwAoX8Ub2PhYPmgKPTYS/UFVfYGcLP8g1z9+w336v+fX5SRW/+YvsMlQtPWvyLnRwqP+ce67AeXX0bFRyAY7QCMwEgnzcsU7gxmZWExFvs1aA8J/fuL+cMjqe8f6LFil1qHhH77y3DuI8PdL+Q2LUmLf3TVA3VOaEkIw6OlDAtKQSt80NxUOpvBr44hAXzvL1yKFbY0GcLIht0SsLYeMaBrogZVDplbgHKoSjFBugHkmqkh+S7M5OPoUaHkhh+KPoL7g+dsZ7j2CKpFWQq0qIaBgeHkDdCRU1BRJKorFcoxzYEyGBgYuNgZ2pOh3POw26mhfBpQ648yBNQz/Gdg8DZnkBEBWfD3H6gP8OYjaKsuiE9f/Ocv6LTQLz8YBk83AHL655//DB+xbZgGHV73XuPTM3DYkRJWNN3vCznok4uTnRQXoagd3e+LEhyjHBxgtAOAI2BGhVFDgPKpAAd1VBOpyhuBUwFPfgzYXQGcbAwasgwOBqBTz6dtZvhGqxsgiEoi//4x/Aav60VbcXHuNkg7IwMDKzPDzrMMl8Ebf0tCGISQDkWBn9ouiCQI0kZtTOEZQZBugJzQX2q7C2Hesbts686ID/sbAyCrwnBNy0zeCAoQRkaGNbUM+7oYbs1jkATfoLDqIMO95yApNFwfCxW4hnQcUIgtVPDJayiDFtTP3wxTNoImvkrCoE1/ZFtAlwZ8ZXjzEZo1kKXowIZ0A378pmY3QF2InFKGm+WfNC9ooxeu4f9v7zW+vkY/7pPg+h+aDvzrSn4bHfinQyodBQwMDKMdgNFkQGwIUDgVMMgPCR26UwFXPw7MVMAgOScUPtYoJoBIyefvQE9IzPJjYGBkgA//Z4LXEUHUvfzAADkOSFMOIkBbkvIVQY4ar2k6FfD+GyOkG/DmM63W7NE2iEkxHd4HgFziC9H67SeI5mBjMAWPVrCyMBzqA4kwMDB41UAZyFSSOwM/+LRZz2pEUxt+N9zd5wyqUgzIyRJZL9lsyJqftuUMUiKggX9e3Me6/v3H8O4zA67TQsl2AJEaqXh3GAfLB23xB16qL0jtBsjw/eLlZPjHyPAaY/j/3x9RMlr/NB34V+B5o8b3hZLW/+jAP5GJc1QZBIx2ACDhMKJJkjYDUTIVQOs7gxkYGKgyFfDvjyitEwQVrw1+8xs0FfD0+8B0AzRkQTcHX34Aujn4New8RFqHHrL58A7ApA3Q5f53njEENICUsDAzlIczTNrA8Bs8dL67E2Wnb+EMkBoGBoZFpVAGJvX0LcN52O4CTFkyRAb/iiDIxoARMhUgH8MQj7RyTFEcFKWMjIhF/2wsDE3xIMHvPxlOgY/9AXGQ8OxCKMcyH7Tq5vN3hplboNrNNRhYWRhE+EDdAG4OqDIKqZ+/GdqWgwb+XY2wDPxjNfzXb9BUwNcf0C4xVjW0E/zxi+HDV+pcIQzvBkjzEHsjsTTfVxZmhl/MjL9Qdyb8+yP6+ZU0qWP/tB74V1SQpNv9viRV+rRLHqMmDywYPQVoYMN/sNiO5yAgrE6k8KKA33/+PPovevPqC6yGU0VwBN4VIMLKoM2PWtFRJSiJM+TGwJ0T6lHFAF+DwcvF8Pkb1MVLKxlsdRjkoqHcR0vBjP+g9tmpmwyhLSBuuD1DVwqIgYY/fWewKWT4+BUkzMjIAD9KCMSnBqb8jKAT93gevcNxSiU1XCjI9V9T8rem9DtqGDbozKicy7B0H9RVK6sZLDRB7NWHGEpmgRh7OxlUpEEMCJaH3S/xcAlEAIUsmcWwGnypHGSPwT/YYPPRfgYZpJEEyDFBX8lZyQKy7udvhm2nQE1/fWVim/4gbaiYh5OBWl0RVIMJ86h7hfCPPwIXnws//YLv8mxpnt/msnff/mK8AT75Fz7ng3zcJ7K78az8oV3Tn4GBQUyKl8KDPtHu90X2FC72aAdgFIwuARpNA2SGAIXLgYbEVMDH5wajUwHEp48BnApYWAoaaoU4Fd7670wBtf5bl0GEGU5PhTIYGEE3Byf0QLkNsGXcUD6Y+v6LQTcN2vpnYAB1GORjQTeIgSWpQ1BlRZCPHriDQh0XoZsyXFcEXXsI6hPCW/8MDAyPXoF2ljMyMgRaQwPBpQLKgFCQgz4ZGECzSRARZLI7lcFOFyQA6tSBW/+MDAxpXiitfwYGUBKVF2NQEAfdGwBSTQo+cgU08P/2M+jcKshmX1J0I9R++c7w8v2AHRNE3UVB5rJ3nRTe8rOBQxzhRQRLXeTTr38MkNY/JBeDIuiP6Icn8n9/kdBzpmnrH7Lfl8KB/9HTfhCxPsoiBYwuASIltEbVooYAJcuBIIeEDuadwb++sH94Kj/kDgi685Xh6kfGXzirRdQopCoP+ZzQ9UepajRew8QFGY5NYBAXhCpSkWLY1cEQ6Qjizt0BIjXlGMSRdgisOgRtA03OBh3bAlKBijVgB7lICjE4G0LlrjxgWH8MyqYWReGKIGGez/FWL2i9MWCYHRUa1ISIPUcDhiP9DOEOUBFWFoYC8JVw//+j7Pq11WXQA58R37sGtKoeqhpMff4O6jwsLmeYkgM6hZObA3QH8MFehuoosDQGwcUOUkb8xgDIiv/d5xj0lRn0FBnY8A15Y1iGQ+DLd+iiIBzyNBT+9x+0UOrTN+osChLgfO2sfAtrN4Cf7R8X++srn1AWRkIO+x8krX8xKV4juV+UrPgnY+CfhlE7avQQBKNLgIZgpNHAyaQuAUJzAiUrggb/ciA2np/8khfQvEwjLrWuDR7wK8MevmS4/5zB14LBFjw4SqPgQjP27z9Qa4wJVun//sOgDF7A3RDLkOSBUIu8KAh0RRTqsqmcqaDTjRgYGAoCGQrBzcFDlxliu0DapUUYjvWDGFTHoLFJVGeQZMX3X5y0XhHEwMBgpfxrGKwImryBoXs1KHRX14Ia6yAWKpaPBh2sCboOdhH0JFAGBoYnrxmswcv9bXUYloDnB648YKhfBFp7dn0uqn7ieL//MHz8Br1DAJeO9UcpXfODy2SIODMTAyf7QC4K4mAjZz4E4ng08v472XvvOT/+go5paop8ZeB48g5ps8C/P6Ifn+Ib+0dbAkTTgX914Y+iogIUDvyjhQBJ3NElQKNgdAnQaBqgTghQMhUAWQ5krQQ+ypE6zkE3hcKdwb++sNPnvjDQ1cvf0R1PNv/OV9Dm4IGaCtCQBV0ZtvkE6Mowup0TysyEOOOfgQF6czADA8Pbz4hQzIOtBdreBhIErdtmAp0UBOIwMNx4DG39a8hCW/8MDKAFHszgdgUrCQsHIOYRS1JrRZAAJwXdCEKOhZwRNOT2B3/+BlrzA9/zneIF9ed78NJw0IXlHxnuPgMdnw+RmJ4PoRlmb4cyGBhA63mCbEDcw1dAJAMDqGl+5hbowuDT2DYHQxXhpuD7g7HOBsBP+bTTI3/FP27LoTIDe2nAv/+g0Pv0DZFPoc4ii1IUeuysfMtQ/Cs/2z8Q4iGt9Y9mJ+1a/2JSvLqS36QkRQaw9Y/m2VHuiAWjMwAjNurRPU7hJACo8fof/UBldDvw8kenApCDZ3hMBTCAm9TtyxmWVtB1KgASkr9+M2imQM9nPNDDoCTJULuQYeEukKS+EsPmZhADgcGbg10qGG4/BYldnMEgAD7hkYEBdHyKEngmIdSOoQd2/RNIEW3wv3/QEWjyjL/xXOjkfTby9BKpS5Drv536NxFepH4VkTrpriysheHEdait0F3gDKDLfY9dA43uP1jM4FbBcPMJaJsHAwODpynDzAKQYvdKhuuPQIxrcxAD5D9+MagngQQP9DAoSoAYCjGgmMrxYygNA3HJxsj7g6my2ZcMlzAzgY40hdyaR4Z2CrUwMYIW47FQqYN94bXUV2bExQ2QM39+fyVwrxZkBoB2Tf+B2u+LGTWjw/+YYTIywWgHYGTGOxZfU94BgBhKyXIg0Gjc24+nH1PpzDyIg1BJCk8HYmb7yyvxkpUddLkMqsHU51GxD8DFzKDBw8DLSsPhYTz+//6L4cELECoNZRBFWouPRwu1pPzqQCO1aKZxsjNcnollOfWm4ww5U0Bq8wIYioNBDAieuIGhby2ICTocRgrEoDUeEiuCdKV/mym/pXVQkG3+5hOI+x8ghkiLMByfCGL++sOgAu7RORkw7ENd3MfKzHB7IcPDlwz2xSCV8I7i//+gKQJtcPevJoohFTyNcOwag5UWSBlV8LefDPdfMEzdxPD6I2izL1WW+5PqMDZWBj4uBsh8F6l6KVfPxMjAw4kyiUeGmT/+CJx4y8rK+gaid5C0/sWkeMX/vxwkK/5HOwCQtDEKwBPbo8EwGgLUCwFKlgNBdga76jCLS9HqKqIf76UoWREEuS/syxsd6gUYTpOoeFfAt78M5z4yDNRdAZDNwYqSDMbZDIcv4/QvLSTW1EIHa+GG83Aw7O7A0vpnYIC2/hkYGPID4coZ/vyFtv5B2yro0vqH3FYLv08K4RSiWZxs3x01XvvofaXpiqDLT1nnHpIYnCuC5KLRW/8MDIgF92wsoNFuBgZE619DFroY/fdfBusCUJoJBl/oe/EeQ91CULgzMkLP+mRgQMwJULP1/4PhzC3Q9JShCugwogFp/YNWzQ3opQH//jN8+sbw5Qf5Vwj/+CNw6rkAcuv/5xdhgmP/DAwMNL3hS0yKV5Hz4yBp/YNS8ygeDQEwGJ0BAAfDKMHAQK0ZAHhYjk4FwIOCQsboVACFATh3B8OWE6DzW7zMQKs1ILuEL99n0FVEGNy9imHyRhB3awtYHLwiiIGBoXwuw4oDIPGNDQwGyiAGnfHoiiBSAzyggeHcbagmQR6GhWUMW08yzNwKErm3iAGyzmT2NoZm8L0QLMwMO9sZVKVBS8ViOhmOXwMpm5TNEGAF2jkA4jAwCPGCRqYfvQLxGBkZrs8B7Z0FcaiEv/1gaFjMwM/DYKMNNfntJ4aXA3GtHrKHBvDSAAYGBsj+YEhWRXYVHjbkcoDvbJ/gHYDvHzQwb/vCNOHqI3lMQWqJ6Ep+G2xN/9EZAGpF7lAHox2AoR6DVHM/1TsAlO8K+Pb95wGyNtgRHygUrgjiEf3IKXCDeOsoUUnFboAKN4M0LXeL4vfmu88MhdMZJmaBRjrxq6Sd7OmbDMFNDOH2DLXRDHzcoG2IkDUhoFPhwe1CiNV3nzI4loGYShIM+5GujAUJ0RFTviLo4VtOWm8MUBD+a6X6hZONetvYKQhhyEFPzQkMEQ4M7KwMJ28whIK3fJyawiABPi72528G1QSQBbxcDFdngxgQbJQFOiJTgIfh0kzQOLQC7AowiCwDA0O8K0NzAnTPAFyQbMa3HwxnboN6p9oKDJpyKMb8/svw6esAdwMG9pggSDeAg+iTT++/k730hlNEBNr5I6b1T9Om/6Ba9oOctkY7AMihMZLBaAdgJMc+ut8HYR9g8O8MHt0VgJ6MiOB//wVaZk3/c0LhTtNKBq00AO1RnsvAxcGwZC9D1TyQ5PoGBmNVEAOCPSoZroE3gx7pY5BFutUVIktn8h9sUoI8e7//4tx1le/Dd9ghqeSZQkjXIDkqdNEe0NlNCuJQ5375waAFvtthdiGDuwlUcMpG0N0RZuoM8jBlDAwMO04zpE0AKbg5DzQY//8/g1Mpw6PXoJVg4gKgWwKinECyEAw6QxbCIou88oBh0W4GzKY/smGj3QAiuwEvPksde8LHw/OVm/sJAwMDMa1/BgYG2nUABuR+X+SUg4s92vrHFTIjELCMQD+PepmeIQDZEkD2ciDQIaEM7/lkf9BuZ/CP91KUzANAdgXwiHLTYSrgGXh0lSpTAZBdASrcjAMyFcDJxqAhyyAmADpz8/IDhgRXUCucnslSUhh02s+ETKi9kKOBWFlQWv/7LkBb/3EuDLJiDKADX+jpRAy7QMshGBnIXhHEyfbd3/A7rc8IOnaX7fpzcU3J3wN7Y0CcC0rw8cCOFdhwDNEByPFHUQPhwO99u/UEdPcWIyPD/h6IDBaSEdyZIqMb8O0Hw44zoOOJHA0YhPmwmAwXYmUGKeDjZnj+FtplhUvRjQE5LfT7T1CPiBsWknSznYEBdHfYr9+gfTu4ZgN+/BE49oSPmfkfpPX/84syMSt/aOQF6MC/ECsDA/ntq9HLfWkUO6PGIoPRTcDIoTHKplUIQLoBZJsuKszvqsOsrg0+e49sU3BrpHBnMAMDw5fX/EP3roDPv8ENGdzhQyMZIV4GTzPQ1V0ayfTeHLy3i2FfNwPkZHfQNU/gI0OYGFEa+QmwNT810SBHMg6OwpIJ9a4DUqNGQ/JdmMlHWl8eDLkx4M1nWm3lJ9XXDAwMkkIgTWdvgUg0vPMMQuD5OygbzoDycVOgqySIzkDffjAcugxa8f/5O0OIHahxj9tghAwrM4OcGIOiOHSnMkKCjixIN+DNR9BmCTpaC7UKzxXCP/4IHH0oxsDAwMb2i4GBAXTsz3MRqDa6U5CB/8G26J/uwTBq4dAAg6NOGxphNepKikJAivEjJd0A0FQA63tT2R8UOQKvZkpOBwKdFv+L+cMjqe8fNPBaQh1Jqh8QdPcL0U0Y6vgAYYqGLMOMAobLDxjKZjO8puPGRxWkI31kwMt7fv5mOHgR6jCnUihjdiFoPyKEw8gE6glA2ANIUn5rGKQbICf0l3a+eP+NceN57r1XwSFLO2uINhlyI/Ur1AT24xeDRR5Daj9Dci/D+8+gZWlJvVATzUjMx5DZAKhmHNS3HwwLdoNW/Hubo6/4x6EDRZiTnUFFikGcvgfporgAfCfGu8+gbRK/aXhzI5qdCC5mNwCy8RdyATAn59d/f0Tf3VdCaKAvS1fym7bQDwpv+Bod+6dvpI1oMLoHYERHP5rnabEHAM2KkbAzmJntr4D0QyaW15h+p7oIVZYDQVw1sHcFgJbjP2YYqCvD9l9giIeN92vKMdx6Arr8C3RTOhPDg8WQ4EEhQas+BuZOBRRngMY7B/2tYQwMDINhY8CJ6wxhLaDQe7gE0Yv79gN0VRwoNkEyCMzJznBjLkIZQoIIFqZpoFMmcW/2JcJILEoGwzFBA35pABsrw/PPsudfgm7sY2L6zc/7+etL+b+/SLhOjFp7AMSkeGVY3vLzgVyCJbaIE6JP0390DwBxsTEiwGgHYEREM5GepE8HgPI+wODfGczAwDBEDwgSYWXQ5h+wtu0AXhkW3go9AhI5s8DvjkUWhLP//4MzB5IxJM4IEuT6b6LwQ07k40CF1O+/DMpxIMsXlDI4GYAYEPz+C4NtIej4eQiXgQF0Je3icgZTdbgAOQzkbgDmKZ/kmIihZzDsDwYVdJyIixEw3Ehbgc8/RU+/FIbYwcb69v9XiX8/iG2CU6vpz8DAoMDzRkZGlJKBf5AhTLDFZxD/0Iwc7QDQLGiHHhjtAAy9OKOpi+nWB6C8G/Dx09ej98jfZUVMMFKyORi0JpXnJ6/o09GpAGKCGlnN49cMNfMH4JzQzEkMBy4yfPsJOuRRV5FhczMRl5JSdjIPsq8pZFN+RtCJezyP3pEwekqGgwW5/nvqfRqoo0IVYkAne/qYM0zLQ3H7v38Mey8wTN7AcOMxg5cZw4RMFFlKOF/B13ttOUHgqB9KrPj9F7Qg5/0XSsyggt4BuTTg8mvl199Bp4QyMv5jY/7w5x2xi3+o1fqH7vcV5qckBOkz8A9x4WjrHxIOoyQEjHYAIOEwSkJDgJ4dAMr7AKNTAdBog1FUXBE04FMBD18y3H/OkOkLupYV5j+a06C7SL+CjgZiI6VrCRruHbBZE5QwIfuMIIgpj9/x77vBCWHTjhyoFUHaKQyfvzNwsjHcnE87zyFMhp/yKS8OshQhQQPW778DeUwQxEN0vjTgzTepS2+gJyixMH9l+sP+9zNRe3+p2PpX4/syVAb+IXE02gGAhMMoCQGjm4Ah4TBKDkwIULItmIGBgT47gyncHPzlNf/H50hrDmgZ0pBzQqliw5vfDKffMz6l8bHxuJwKOSfUXJNh+maGaZtxqaK+OBMjgwAPyWetgM6BGRxFKYVnBMkKfYy3ekHTM4IYGBggZwRdfwo+l4f6cYjTRNBZrgwM30FHxeBUQxWJbz9Ap1ot2s3gaADa7MvFThVT8RkyqI4J+krDkxqggfDrr8Dzr9CeKiPjPxbmx/9+0u/IKTEpXsr3+9Jz2Q/IslE8GgIYYHDUWhjOGhUYOSFA4elADAwMkENCxaVoWAFQ2Af49YWdnoeEUqsb8O0vw52vDFc/Mv4aoMXu8HNC5aJBLSpiMsWTN6DThIhRSXU1oHNCB+wsJYRvKDwjiIGBgT5nBEG6AfQ8KtReDxpKr0nfiUDkEVWQpn/DYoZ7L1BO+QR1EWmfNgbJMUFfvoNWJf2gZUfr008uyOIf0E59xl///4n9/0X7bhY4+YhJ8SpyfqT8oE96rvwBO3yUGA0BdDDaAUAPkVH+gIQA5VMBxmK/Bv8hoUN0KuD4uwGbCgC1R5HOCf2Ge3Dx2w+G9UcZDlxgiHEekCQMshTUzhscZSoTIwMzEwPZbU5Otu+OGq999L4KcNJwbRP8qNDvv6CjuaBApBmGX/J17jbJdsQ4g66LnraZAX8KXLAbdLcdZOAf0w5Q8iA7SjCNwyEizMegJTfwp4V+/ArqBtDitNBffwXufuCB+56Z+ev/n9CtwHBBGjEgA/9cnBR1Nkab/jSKnVFjSQWjewBIDbFhrp7OewAwQ5PsO4MhRn37/vPATQiTViSFO4OZ2f7ySrxkZX9MK/ehmkvdXQGqvP/ZBq6BewPHOaHffjCcvQ06xF1PiUGP2H2AqMFEdd6g2RxM4RlBoONZnwudvM9G9RBCM5AOGwM+fWXQSQNZ62nKMLMAxCAJf/vBcOcZw97zDCZqDJBbBeDaISlwMymbfUH7RuD6acMYJMcEUf20UOTV/0xMv1mZPv/9KP//L7H718nbAzDk9vtiTVOjewCwBsuIBaMdgBEb9Tg9PtT7AENiZzCn4FcekSs444CqElTsAzAwMKhwM0jTclQYv9fRzgmFNLyiOxiWVTIYqYA27+LXTmdZUCOPhgPoJPhmqJwRpCn5W1OahuchykUz9KYzhNqREHRoSr/9YDh3h2HTcQZfC2g3AHLKJwMDg7c5A6lDw6AUgmYBtbmD5JgganUDfv0VOPIUcSU8G+tbxj+cfz4i3epHKADJ6ABA7vcdWvt9MYNhtPWPGSYjHIx2AEZ4AsDi/QHvAFB+OhADA8Prtx9PP+bA4j3qCY3YqQAuZgZ9/oGcCoCcE7q0ArTcQk+Rwd2EQXRAr0fFn6YGyXUBlN8a9vYL75HbXB9ovC9ckOu/nfo3Ed7P+EN1YGW//WDYf5Hh4CVQN4CkgX9MZ9OhD8DAwDAYjgmiyqUBd94rPPoMLdgZGf+xs97688mQ+A0ApLb+qTLwP0j2+452ADBz3wgHox2AEZ4AsHh/MHQAIM6icDnQkJgKGKL3hQ2GqYADFxhWHGA4O3VQt/4hKRnUyBscUwGjK4IgMUI5CTnlk7yBf0zbQSkEU5TaIt9/Mjx9y/DrD7XNJdE8si8NQBv+Z2H+ysz4k/jj/xkYGEjqAAyPgX945Ix2AOBBMcqAgNEOACQcRklECAyeDsDoVAAiVqjHouKKIC5mBg0eBl7WgWnbXn/E8OUHw5sPDAoSDFm+1AsgmpkEauQNTFChe4nyFUFXn3JdfQ66gwndaOrxBbn+03pFEHmOhSw823yCQU6MgYkJtCWAPHMwdYFSCKYotUXefmJ4+YHahpJoHnmXBsBv/gLb9o+F6RbjH5V/X4g6/p/U1r+u5DcKj/oZJAP/4LACEaMdAFAojGIkMHAb+pAcMcocDQFcIUCVQ0Id1HEZTx1xCg8J/fuL+cMjqe8fNKjjGkKmUOuQUAYGhm9/Gc59ZBiouwIYGBgkBBk8zRgYGUFHfx6+TMjnAy0POgRmcJS4lJ8RZKL4NszkI63PCKL/UaEE08jhywzwUz4lqH2TASiFjJhjgiCnhRJ/acDnn6Lwoz8ZGBgYGX4x/Gf494PY05+JH/uHHPNPYetfgend6Gk/BHPTqIKBBaMzAAMb/oPR9kE1AwAPoMG/HIiBgWEk7wqg/1TAhy8ML94zaMiC0gh8c3BD7KDbCgxyHyoGDfQOjqmAobIiSEH4r5XqF06276gBSVfetx8MC3YzPHgBut5LGHwF7fVHDHxcDNLEDkCT4FpQCiFBOZlKB8kxQcxMDDycDByEDppCHf5nYGZ8y/iP8f9noo79Ir71r8DzRkZGdKjv98WaIEZnALAGy0gGg2M8aiTHwODz++AsJii/KECZ9b21Em1Xv45OBQxUcuZkA125qijJoJFM7JVhA+VU0OAlIwPo1rABdAHMamrdGkbry4MfvGVedoKf/pcHQ8IJfr0XNwfK9V4QWVqQ9JkKYGVmEOZjUJVmEEScqk8L3xAw8+8/BoKXBmAM//9mZHjN8BfcDyNgPLHSkIF/RQXJ0dY/sUE2qm6Ig9EZgCEegbRx/uCcBID4dfBPBVA4D8DAwMDM9ldA+iETy2uIl2lNDtFdASxMDMdvMJiqoQQPfCqgNHQIbA5mGDTXBVB+RtD3X5wn7vE8ekfscewo0UY0h/4bA/Cc8nnqBgMvF6jnSbTzyVFIt9mA529Bm2rIcSL19GA9LfTXX4Gb74SR1/+Ahv8ZXv//asjwh6g7uQjOAAyz/b6YETI4x/Uw3TkqQk8wOgNAz9AetYsKIUCVqQBa3xlM+VTA2/tKo7sCyEgukKkAHUUG4+whMBXAAJkKoP2yb2JCkomJgYkCl0AuD6b1VMD7b4x02xgAH/jXVgAN/JN6xj8xYU6MGrrNBsiJMSiKM7CxEOMoWqn59Rt0f/DXHwx//yGs+PSTC7n1z8DwDzT8/0+MyNY/wiBsLMjAv7bQj2E58I/Nx6NioyEABaMdAGhAjFJDKASosjPYVYdZXIrYDWRkBA6FfQAGBoYvr/k/Pjf490eUDNtJ1fLsOwMVNwff+cpw+j3j598UNCeJ8MD9lzgVyYoyzChgePMJtDn49UAfeILTlTAJUAtvcJTEQ2VF0PtvjBvPc9N0RdCVB6DNvhfvga730pSDRRUq/fErKp+WPFAioW1+Armek51BRYpBfKBv1UDeH/zrr8DdDyhLlJgYwFtB/kNvAwC5m1wsJsWryPlxdL8vueE3qm9og8FR7QztMBx1/cCEAOVTAcZivwb5VMCvL+xDeirg7hfatlnwtMA42RgEeBjMNUFTAdM2D0wSJclW0K4A2oYWsc6h/IwgDcl3YSYf5YT+EmslWeqO3WWbe0iC6t0AyMD/ot0M2goMZhoELvflpkIrlATPM9IlhUA2BgySbsCbL1xf/yA3VP4xMT5mYGD4/4ufyIDDtf5HV/KbttAPLspmdkaP+iEyFkaVDUIwugdgEEbKwDtpMO8BQAsdCrcEgM6y/P7zwE00U6nMpXxXABvPT37JC1R2Fm7jhuiuAFweuvGY4f5z0KWttrq4lAwicdCa7+FyRtDjd/z7bnDSOnCpeHnw4cug66W1FWi+sp/CMAElEgqNIEL7YDgm6NE35c9/ETdOMDL8YGZ8AOoAfLQgwgcgJZgdgOF0vy/Ih0Tg0T0ARATSiAOjHYARF+VEengI9QEovy+MDncGU+WQUE7+L5wCN4iMQQqVUbEPwMDAIMLKoM0/kK3a778YDoA7UEPinFBQ+wZpDTSFUUmhdgpvDWNgYLjxXOjkfUKnPFLoSgYGCo8KxTzlk2IX0dwAunUDBmp/8J9/Aje/SiCHI2T7L8Nfuf9fpJDF8bDROgDDfr8vZlCMtv4xw2QUMDAwIM+sjQbIaAgM1RCgfDmQMut7mi4HYmBgoHBXwN9fzJBdAfSJJOruCnjzG7Qr4M1PuqxgwBZAnGygK8OGyjmhoKNCmUB3HWHzCr3FKFwRxMDAQJ8VQWQfFQpZ89OwmIFup3xSKwrpszGAlRl057Gq9ADsD/72lws5rBgZwKd/MjD8/8ONLI6Hjdz6H93viyegRqVGIBidARiBkU6Ul4fWDADcSxSuCBoqUwG8Ei9Z2UELYeEepx1j+E0FPHgBus5paJwTysDwf9BMBVB+a9jbL7xHbnN9+E7bfiBJR4XiOeWTdnmKFibTZzbg0zeGVx8YftH2PhVE8KCt/4EO/zMwEHMAKHLTn4GBYQQO/MPDcXQGAB4UowxkMDoDgBwao+whHwIjZCrgwyOpL2906BNbtJgKeErjJiCekIGcE6ooCdocfPgyHoWDRYqRiYE+Wz8JepjyM4KEeT77G76kz1Ghe68SOD4LPvA/sKd8Egx2IhXQJ5HwcdHvmKA//wSQV/9DT/8E3VhB8gGgkP2+owd9EpmWRpWNEDDaARghET2CvElhH4CBgUFUmN9BnbYh9uO9FIUrgr6/53730OT3T1naOhRmOhUPCf32l+HOV4arHxl/DdzYtoYs6JzQyw+Gxjmhg+u6AEYGZiYGSsbw6bYiCM8BQU/eED7lE5b2hwxNnxVBDAzQ+4NpfUzQ7/+Ivb/g9crg0z8ZGP7/FiY+SiDLfig86JOBgWH0tB/iw3xU5VABox2AoRJTo+4kIQQovyiAi5PdVYdZXRtl/xkJLiBOKYV9gL+/mD88kqLnfWFU7Aa8+c1w/B3jgE8FDKVzQiG3hhGXtGitiiq3hvnofRXgpOHW8GN32d58Rr/rAzLwP2k9Uad80joYaWE+fboBrMw07wZ8/I280B96+icoxP4Qe/YqZNkPha1/BaZ3o61/ULCP4mEHRvcADLsopR4YotsAkAOAwi0BDAwMHz99PXqPtndjUn5IKDPb36G7K4CLmUGf/z/bwI1FfP/F8PDl6DmhyPmGBPYgPyNIQfivs/ZruH8OX2aI7mBoThjsp3zCHUwhgz4bA37/ZaDFMUF3vqr9/ActF+CnfzL8E/v/WYmYYHn9R0eN78vosp/RDQDEpJaRCUY7ACMz3ony9TDoAED8SWE3YEjsDGZgYOAR/Ui3Q0IZGBiouzlYhZtBmpaDwZCUgIeEnBOqIMGQ4MrARewIIx7zaC4FatvRcPScNPf/+8dAiVu+/+K8+pTr6nOUJR+kuQC3aivlX5rS74biKZ+4/USaDCipkKaDHNXffzI8fUu1/cHf/4re+4ZY6gPf/kvkAaCUt/6Hzaj/aAeAnNQ8MgC0ez0yPDvqyxEaAhTuCmBlYRn8h4QyMDB8ec0/RHcFMDCAdgWcfj+QuwIg54QyMjJoJDMMjc3BjINlczBofTYTAxMF2wI42b6bKL4NM/lIixVBR26zrj8qNBRP+aRWeU2f/cGc7NTcH/ztL6IXzsL8m5PjNcQX/38IMRDqbAqJ8WkL/aBk7H/YtP6plYRGzRmWYHQGYFhGK3U8NWxmACDBQeE8AOTO4OufeV8++wwxkEYk5SuCRqcCKIma779Ah4Q+eMEwZM4J/U+wRURJeJCmd7CtCPr373/f6t8MDAwz0t9xspPml+Gnmj5TAQwMDG8/Mbz8QFH4IR8Ays35lpkZtI7r1w/RX+8UIeYyYr3FiJFBhOmrkpL4g5fkb98aZq3/0RkASIIZJTEBbRc3Y9o3KjIaAgMVApB5AEq6AVyc7Macv57+/XzxJfrOQip66sd7KQr7AF9e83//aEK3XQHPvlNzOdCdrwzPfjBq8DDwslKyqIT8CIGcE8rICDondGkFg60u+UbRRydoZJRxsFwXAJoHYGSgZEWQhuQ7eWHOh285Kbw8+N+//9N3cn//9MFcnYGdk+3tV34Z9o/0iZFBawsoqTAw0KEbIMzHwMfN8Okrmd0A5ANAmZj+QVr/oImm/3zwsP3P8I8BNAeGNPHEyCDN+UtamvzW/zBr+sPDapQxGgJYwegMANZgGRUEhcAwmwEAeQmMKekDgA1g+Pb954GbECYNSQq7AaO7AiiMmyE3FcDwnx5tOyJDlfJbw77/4jxxj+fRO2YibURWNmuv4Kc3L81U/7JxcjCBOiUgySiLj5xs0KMkQfyRjenQDWBgYPj9l+HNR4b3X0gL60+/pR7/gLb12dm+srOBLj38/1f060vo8D+ycYygM2lBhCL/P1FRPrLH/odr6390BgA5tYyykcFoBwA5NEbZ6CEwXPsADAwMFHYDhsrOYGa2vwLSD5lYQBPo6LFLAz51dwZzMTMM4FQAJHjefWYonM5QEcGQ5QsRGOwkqGFHaO7kz18GFnLa1ST7nf4rgtAG/pFdrCL6116TThkB2d7BzAalFtq7j9RjguDrf5iY/vFw3YI48M935R/vEduCIYJgkpGRkZGS1v9wbfozMDCMtv7BKWSUwA5GNwFjD5dR0WEfApAVQWR7k247gym/K+DtfaUhelfAt78M5z4yDOBdAQwMDEK8oCvDGBlBV4YNmc3BhMr1ktkM8rFkp30SNDJR6dYwIi8Pnrqdq3n2Sz3JD3YGbOycbGgOvfOa+ck7fjTBEc6FLAqidSCwMjPIiTEoijOwEbHoGHn9DwvzL4jb/v8VJdj6h6gklRzGrX9Sg2JU/UgDhCqKkRYeo/4dSSFAYR8Acmfw4L8vDHJA0MfnBv/+iNIneql4Xxj8gKDPv5EW+9LHGzBbONkYNGQZHAwYNp9gmLaZ4dsPmMQgphmZGEArI7C58PYzhvVHQRLysQwRbSAGrTHlt4YRvDz437//E9Yzfv/0wc1GFLPpD/fgziuc339xwrmjDAbIOnq65C0ijwlCvgCYleUrJI5+fxeCMNBI+Ng/mjiR3NHWP5EBNapsWILRDsCwjNZRTxEbApTfGQyZCohV/UOslWSpo3AegIGB4dcX9g9P5UenAsgKfpCmIXlOKLZuACszg5oMyEcMDAynocsroFzaUYyQqQAKGpqcbN8dNV47aaAv4v/37//U7Vx9q38bK/60M2BjJrS26dRdHtp5c+iaTJ/7gxkYQPcHa8kxiAvgDKrXP6Gr/1mYf0O2//7/K/rrE5apG2ExAcjKH5xm4ZZQGL3fF3fgjMqMEDDaARghET3qTXwhQMlUgCYniyYni5gIf6YBEdPb+FxBQO7HeykKuwF/fzF/ec3/8bkBAZuoJz3MpgIYGEBTATMKGC4/AK0Iek3ZQYfUC2Z8JmE27BTEGVI8oFomZEAZ9KEoXxEkK/QxzOQjfEXQP/Apn98/fbDRY8Uz8I/suzuvmd99oeEpXsh2DTk2ZmqhkReE+RhUpbF0A5DX/7CzfYLY/uuLOISBTAqLCfD/+iAqCu0tMDAwEL/9d3TgfxSMAtCxWqOhMBoCoyEAuteW8SMZ3QBNTkSjn4uTPc+EXV2b/POniYkICvsAkKkAOt8XRsVuAGRXwN0vFIwkExPKeNVAzglVlASdEzokdgUwMDKgrQiqWQDyISc7g68FiEFnTJUVQd46H6/fYutb/dtcncHOgA1+1A8xfll/jnt0IRCegKJPN4CVGTQboCrNIIg0JQNf/wM//fP/X9HfX7nQXCssxm/P9tVNUQRNnCB3dOCfYBCNKhg5YPQUoJET12T6dBgfBIQ1RIg8HQi56Y9mzodPX+deRROjPpfyQ0LZeH7yS16gvstwmDj8DggaeueEMoCuCyiYAd0D8HAxSlS5VTLce8HAzsrgZMAwOQtFikYcss8IevCKYdomBgFeBg053guPud5+JblDOHoiEDFxSp8zgiCnhT5/y/DlB8PbX7IvfnIzMDDAT//8+VEHrQMgLMbvJfiPmwtxr9v5L6C9wgRnAEbawP/oEUDEJPKRDEaXAI3k2B/1O5YQIDgPAFnzg0UnTEiAj3t0KgAWGAj62XcGqk8FXP1IcssP4SCKWZCpAHNN0FQAZFstxUbS3ABGJmjrXwDUyoJaZ1sEOhTo5hOG338Yvnxn2HScQWGwnhH07SfDgUug1r+2IoOzIYO08Gdvg5eWyqD2H9QzxFGjC4GICSf6TAUwMDBAjgmSEWH4+gd0dhMT0z/42f/orX9R/gAxJuTWPwMDgyEPmyEPSCMeT4201j+eoBiVGg0BCBidAYCEwyiJMwRG2gwAPCAwpwLwjPrDdSEzXr35uPg2Yo0QshQV2ZRPBXAKfuURuUJFJ+E3iupTAVIcDNKchI6+x+8mymS//2J4+JLh/nPQippBfnOwfz3D+Tsg3z5cwsAADrPwVoYTN0AimHheMYMzXTaMEHlr2IFLDNtOMWgrgnZioLn2xy/O0/d57r8h7XaDZLsXaOaMcnGFAK1nA37/ZXj3ReDQE9ASSjbWHxzsDxgYGNCG/4VF+QPEmVhZEbHMCE3FDA9eQvcJnP/yG80LI7bpPzoDgJYSRrloYHQGAC1ARrmjIQANAeSpAIKj/lA9qBRkZ7C4FG13HFK+K+D7e+4hvSvgzleGAZ8K0JBlMNcc7OeEXn0Abf3HujCABnfBxf8ppIOANjUyrKlFJOLmpQg2TVkEzwj69hN0AOu2UwyOhlha/wwMDBxs323VX/safBXmBndriHPuwet0OhiXOOcMalWgBEPL+bZPXxluvYYWlZDTP9FW/wuL8nsJ/UNu/TOAW/8PXorDW//g2QBWQx5WeFCO2NY/PARGGaMhgAuAawBckqPioyEwskNAivGjM9dXUgf+kcOMi5M9Rv5fuDz62YXIaihnU+WAoA+PpOh2SCjoJmaqBsmb3wyn3zMO+JVhnmaghrVGMsPg3Byc2AtKa6wsDK2JIAZo7fU/hn//oOz19Qz6Sgymagy5/lCR5+8Y/pHQnIbqIpvCekYQZM1Pw2IGbi6GYDvQvWx4zBfkJm1F0OhCIDyBiVWKRt2At58YXn6Arv+Bn/6JdviPPds3tJU/WF0IETTkYQ3k/Tza+oeExig5GgJYwWgHAGuwjAqOhgAoBCBNf+SpAJAo6VhGSoTWh4QyMDBQPhXw5TX/MJgK+AVr0ZIeUVTQoSELujl4EJ4TOmsbw4t3IA8urQCREPzhC4QGNayNVKDskhAo4wfS0vo3n3CuFIKqphKFfEbQt58MC3aBlv14mWMf+Mdqp6rEuzDTj3oy6EtBsCpefw5pMwRWFaOCGCFA3fuDIa1/+AGgkNM/0Yb/vUUZxcSwXAWA4TSogAIjKK0bciOmAqASo9RoCIyGAAyMdgBgITFK4wiBkbmOEG3ND+V9gKFySOjfX8xDfSrg+DvGgZ0KgGwOHmznhLaA1/NwcTBYaCKyetYkKPvdZ9DcBZSDRG08xvDmE4NuOmijc3graK8wkiStmIyMDD9/Mxy8zAAf+OdEnPhClKUcbN8N5N8SuSJodCEQUWGKqoiaUwHglUXf/oLO+mRm/sfO8QY0nPFRCm6hsCi/rIwwnEuQAWn9Q5QZcrOOzG7AyKy4IZE+ShIJRjcBExlQI1rZiNoHDBn1xxXfmDuDcanEJT5UdgYzs/3llXjJyv4Yl0eoLk71zcH6/P/ZBnSIY/CcE5rYw7D3PCjGHoG7ASAWA8ORKwxR7RAmiFzfwGCsyvD/P0P1fIYle0EiEMzICBKEsCGknBjDYfBqIgiX6uS3n6CmPz8Pg5U2AwcrZK8y+ZbcfiF0/C6BI2ICjb4K8Xwm346RrZOS/cGQyYTPPwTOPBV+/Z2Vh+crF9eTX99lPj2VhAQq5sZfiDiERF79z8DAgNz0hyhAJs9/JWpSCFnL0GWPdgCGbtzRDQxo9Ug3X45aNBoCRIQA2qg/Vh2UTwWIifDnmbAP/p3BQ30q4NtfhkEyFTDg54SGNoMW/0zJYVBBDKqCUnfaBBDJwMAgCl5bEdjA8Pcfw5M30Na/nhJUFtK8M1ZlKAiEijx6xTB9C5RNXerbT4ZD4IF/LQUGFyMGLnYG5BVB5NkFWRGE/6jQwzdBw8/kmT+qi+zZAEjr/8cfgeOPxV5/Z2Vm/sfF9eTfH5Gvr8UgoYp14y9ECpPE0/pnZGBgZGAYsbMBmGE1KjIKGBgYRmcARpMB4RAY9jMA+Ef9MQOI8nkABgaGITQVICD9kInlNWY40EiE6lMBGjwMvKx03M2KAQbqnFDjLIbXHxGu4eZguD4Xyj10mSGmA8Te0cbw/SdDYCOIneHDcPQqw+X7IPb56aD5geuPQOy6GIZkdxDj83cGnTQQQ5iP4dxUEIOK+PIDhsV7GLQUGDTlsJhK9q1hcLPwHxVqKPvbSPEtXPEog7wQgHQXidELaf3ffSt79jl0GwYn5w9uzq+fX0v9/gpd8hUkzYq29B9+7ifECvgMAHLrH7ykCN/EESMDw7nhPhswOgMASSGjJB4wOgOAJ3BGpYZ/CBAz6o8ZClKMH6kyFTAkdgb//cX89r7S0D0g6NtfhnMfGQZ8VwD9zwnVz0Bp/TMwMHz9waCaAE3O8NX/WvIMxmoMdrog8RlboK3/klAGQV4GSOufgYGBBXbwOi8ng6QQSCUzVauObz8Z1h0Ftf4dDLC3/hkYGLCeEQRyCtEYclQorqmA849Z332BHkNJtJGjCtFDANKsRxfF4DMyMvz4I4Dc+ged5crx9ecXIXjr30eUURxj4y9mP16B8R1y6x9yNiimMmQn/B+dDUAOjlH2SAVULcVHaiCO+nsohgB5TX9kn1LeB6DbzmCqHBD08bnBvz90OjedutcGMzAw3PkKOif082/I4CByNNKPLcTLQLdzQj98ZXgPXtMuI8pwbCJo4N/DBOTTn78Z+taCGJ++gUj4tWUzC0BcOM4LYMiYCOcx7APvH4DwX34A0QbKIJKBgWHDcQbHMgbNFIbYLqgISRR8zc+n76BTPoX5COim6Yqg0YVABEKfOGmCK4IYGRk+/2Y884oLPvbPwMDAxvb730++r2/Ay9EYGIRF+WVkhPG34wku+sd0L1r+H10UhBlEoyIjB4x2AEZOXJPv0+E3mUjqmh9cYUf5VAArK4sP3+dkbVw2UE2c8j7Ary/so1MBlMcHfc4JvfMU6tKZ+QwyIgzcHAyzChl0FUGCE9YxvPkIPfPn2w+QCAMDSIGxKpRdEMRw7SHDjtNQLmj0nQm8hpqBYfFe6L0BTXEg2fBWhvxpDPee8yG+kAAAy6pJREFUM0Da8QpgQZAEcRhyyueWkwxe5jgH/jFNInhrGKYWNBEOtu+QjQGKIn+Rpd58ZTx3n4TTZpD1jrLRQgBXN+DXP4Yn3xjPvmf4w/JcROQFD89XiEZO9l+fX0ADH7L0HyKOk3zFyvCK5FM+/4MTMqQbACFBd4cNu9NCh1+VjTMZjEpQAEY7ABQE3qjWIRgClA/8Y3qa8qkAAT7uPBN2dW0JTMOpKEL5fWEMDAxfXvN/fG5ARVfhN2pYTgXQ6JzQN0jL/ZWgZ6gwwBkMDAxziqCBndLHIAueyzl7m2HVQYYfvxhmbGE4exsqO2EdQ2gLlA2hvM1BHQZGJoaaBRAB0EKgzMnQmwGYGBk4wKfs/P8POif06kOoGjwUpMPQsJiBixM08E/qKZ+gPgkjAzMTaGcnHlvwS0FWBLloodxIN7oQCH+gkSqL1g349Y/h4gfGO7DbJ5iYPnJxPRERecHJ8fsbbOMvAwODC88vAnd+kd70h7v8P/j+YMhKIYjg6P5gSDiMkiMNjHYARlqMj1z/0qLpDw9NyvsAkKmAWNU/cDNpxKDKVAA97wuj+rXBg2FXAAMD6GarGQUMVLkyTD+dQS6awSiLQSGWYeJ6UMIRgq1mhxz/DxJiALXaUzxBzHN3EJ2BklkMaokMbctB4kywCuEzeIEQSAisK8QWxKyaByIZGBi2tTAcuAS6nwu0BkOc4dw0hptzGXrAm4MZGBh61kCV4aIgp3wevkrawD9W0yhfESQl+DHM9CPyxoDRhUBYg5oSQUZGhl//GJ5+Yzz+lvEbyqQL1NR/Pzj//oJuNAmSZhUUgG4LhkqjUi9g01aowiTz4DMA8IVGoyuCSA7EUQ1DGcDK+6Hsh1G3j4YA/hCgadMfbjXly4EYGBjERPgzDViGyiGho1MB8NgnjwGZCtBRBF2ztf4oeWaAmv7vYUOq//4x9K6BHu8DufBr6T6Gz0hj3HUxUFvcKhiaE0CD6FA+AwMbC8PuDobdnXABEIOLneHkZNDw/8OX0ONB9ZUYdBQZsqeAZBkYGDY1MQjygNihttC9wtceMvyDN6lAMggMH/iHnPJJxsA/wiwYi+orgkYXAsGClmr0z78Mtz8z3oEu9kE39sc3gd+foMewKqlJox37g6z6xQ8GarX+kWcAkK2ArAgamXeHoYXDKHfYg9EOwLCP4hHtQfo0/ZGDmPKpAC5O9nCpX+HySK02ZAuoxKbKcqBfX9hHpwIojxBZUYYZBQwv3jOUzWa4/4IE8/7/Z9BKgaq31GKId4WyD11muHAXMSQfjXTbFwMDw4RMqDJZUYb7ixnKwhiCbBga4xj6MhhUpRFLhiw0GfZ1M9yAjfpnwu4MnlsMWi/0BZw8F5Qw8ENbbqBGP+QIyG8/QSf2QO1Aoi4/AF3vde8lFQb+kUyFMqlyRpC58mttCZDHRhcCQYOVGtQT8MD/m1/YzfrxQ/LrR+jWb2FRfkc2pLknVB3wpr/EJ5KX/qOaRBRvdDaAqGAaVTSUwWgHYCjH3qjbcYcA/Zv+cLdQPhXAysoiIyUyVA4J/fBI6ssbHbj3ac0YrrsCIOeETt/MMG0zsUH4+iMDpCHuZsywsho0on93IWi0noGBwa+OQVqYAbJ058JdUO8CbmiQDQM/eIVFQjfoit8cfwZ/S4b6RQw5U0Cbg3/BLkv1t0JcHLbnPMOVByADcvwZxASg64UYGBicDKHWMTAw3HgMukeMgYEh3B6kEhl/A1/vtXgPA+SUT6oM/CObD2eTtyLo1x+GN58Yrj4EbWn4+h26kWJ0IRA8VMlm/PwL2u8LX/GPac6/f/yfPvEx/AY16IVF+b2F/rGxQhcCISvGNfAPud4LWSUmG78a+CoguEZk9YwMDEbcrKOzAfDAGWUMMzDaARhmEUor7wytUwWodcgPJaFJlamAobIz+Pt77mEwFXD3C2Z7gJIkQLJe+DmhctEMhy8T1v4OfNAnAwNDpi9UMSsLw+JyKLt9BWhQH8Ixy4HQUHJaLpRx8gaIoa0AIhkYGJL7oNt5GRgYlu5l+A3ekPL9F0NSD1RBSShDwXQo++RkMIORgRF8RlDpbDCXgaEoGMpgYICeDtSwmOHeS9BmX4KnfCJ0kssiaUXQrz8MT98yXLrPcO0Rw1tYYHKygFapv/nKeOs5+MoDcl0ywvX9/Iuy3xczNP7943//XozhLwvjH1Cj357tGxcXO+baMfjAP6YJ8O28mFJwEfxqMK1DVg9nD60+wNCqrOExNcqgPxjtANA/zEdtpGEIDODAP6avKO8DDKGdwX9/MX94JEXn+8KegdZrYAY8mSJPfgz8XQFom4Phx3RCvJQ1CTS037ECtN6GgQE0xg8RP3EdQoNIO10GI/CBnrO2gQb+a6NBggwMDMhqrGDHzm44BpIVE2BI92bQU2LY2AjaFQA5D/TKAwbleAbvGgb1RJAaBgaG/d0Mj14xrDsC4mrJg7YUg1hgfPASdIogwY2BC3qLK6j1v2AXw5aT0IF/YR6G0zcY7sLOJwXroxVBcEUQpOl/8gb0DFNkd/CyQVerHL7NNno1GHLIEMn++Zfh0SeGg88YPv/EqQM89i/89y8T409QcvERZRTDuPOLgYGaK/5xOgVVAtcYwOiKINRwGuUNB8D4H7Jsczj4ZdQPtAUTQr1pawFlpg+GUX9cPnj2H3q7DS4FBMV///6z8hnby2ewUUqCGshVwCH4jFytUH3MbH95JV6ysj+G8mlPSXFS2Q4RVgZtfszBQSrbQtC4G48Z2pczLK1gsNVlsC5gePwaoYODjWFDA4OWPGgHMET00VIIDSKfvmGwzAcxNOUYdrYz6KQyQK79ujqbgRe2ZF8O3DEIs0dsFQBpAOM3HxmcyxjgG4vBYgyB1gwTsxhCmhlOgScNLs+CriOCyEJMY2BguDWfgZ0F1PQ/c4th4wnQzQOaciAlBdMYnr0FMRjAB7GvrIWyaU39/w/tLMEt+vyd4fErxHg/XBw5vh98hB7IK8L939/4JVzNKINgCPz8y3DmJcMX8NwRKK4ZGVhYGeGnS8G1f/sm8+ULN8M/JqYvPMKi/KEyoFVAcFn8TX+q7wFghB0MiuwArIIQBee/wtbJQfiDjBydARhkETJ4wegMwOCNm1GXERkCg2rUH6ubqTIVECP/b0gcEjoMpgLe/AZNBTz9jms0EGskU18QfmWYURZK65+BAXRyv08tqJ09Bba2Z81hhAOkRRiS3EHc649AA/PwW34t8hnuPgOhmA6QLAMDg70elIFMifAzXJwJuj4MIsjDCbpEbGIWiAdp/Xubo7T+5+4ASTEwMMwtBq0g+v4LtNl3y0kGXwvo9V6xHYjWP+T0lbBmhgU7obpoSsFXBP36w/D2E+iCswt3sbT+QU1VcM8E4hg+NmgLD+tCoPtfGe5/hShEMKD8kU09+sRw4Cmi9Q+K6/8Mv3/9//UTZaTxxw9JUOufgYHxN5uwKH+AOHo7BM+yH0ka7ACG3A5GfNSNzgYQH1ajKgczGJ0BGMyxM7jcNghnAAbzqD/WyKN8KuDb95/TL8CG17DaQSXB0akABgaGwTAVYKYOOurn/3/Q0Tq7OhiUpRh6VjNM3QSKZhUp0EE9pjkML9+DuDfnMSDvr4WPyj9aylA0gwG5hwBSDcbI8wZgARTi20/QLmFuDqjg91/Q5UDbWhl0YNsGfvwCXSMAUXFjLug2sc0nGLQVGDTkQHoZGBh2nmaA9BA42RiWVDA8fcOQNw2inOHERIZHb6Bs2lG/fjO8+gjqgXzDvSIFzfYff3mffwFvlAZLBBp9FeKBTr7Bm/6K3NDWvyJCIVj1iCR+/mV4+ZXh+gd8nmdhYWRmYfj3j//NG9AEy/9/DCIc0j7CDMh3fuFp+jMwMEBa/8hzNfjsI0IO0sWnxMBBOBswOgNARMyPKgEB9J43SGwUj4bAoA+BwT/qjzUIKZ8K4OJkp8POYNAY83sprF4gXnB0KoD4sMKj8slraEs6259hznaGd58YysMZfC1BOu48Y7h0jwG+oxe+PRckx8DQCTsh9Okb0G5gb3OIMJRkZ2U4BTvLHyqEQXGxM8Bb/wwMoBF0iJKbTyA0iMydCiIZGBim5YEG/i/eY/A2Bw38MzKAeiwywtDWPzsrw8Jyhr//GSSEGeaXQLVcfwRl0I769Zvhwj2GO89AsyXE28LB/JmVCdEsvPwY1AdCHvhnYIC2/ok3cxir/PQTtOwHf+ufgYHhz5//37+BN/6Cw+L/b0ZLho/Et/4lPrHCd+WCDaACQbmBo7MBVIiGUSMGCIx2AAYo4IegtYNkXGGINv3hEU55HwCyMzgZto8TbjLVGZTfGczAwPDlNf+7hyb//ohS3Xm4DKTuzuBvfxnufGW4+pHx1z9cFtJWXAYWcm7GDOaaDN2rQeeEToWt/PGpZTBVh67k2X4adI4n3DWRjgyQtdfdq0Fi0/MYDvYy+FsxWGgytCcx3F7AICEIEicei/JDD/0snA7aDfzzN0PlXIadZ0AGaMgyHLrEYKYBQsizEPDB/iP9IGUQrArrWj5/BxGgCfn9F+fFh0L7L0H3P5BqBycLYp7tzmvmPXdHTwTCEoSQ/b7HkRb9Y1GEJPT3L9ffv9BWx7+fDMJC0BsA8C/6RzIAwYQM3iP4A8oaPN2AQVJND2hsjFpOLIBmRWKVj6obDYEBDYEht+YHa2hRflEAAwODAB83HaYCqHJf2N9fzG/vKw3pA4Le/GY4/o6RDrsCRPgYUvpQUs2pmwyQts60TQxCvAyeZqBWeNlshjQvqLJVBxGTAGaw8z0hcrzg7dGnb0J4DIoSDJOzGVbVMEQ7Q0VIothZGYKsoTpsChlUExiW7gNxmZlAkxIhdgxyYiAuHH/5znDmFojna8HwAGkn7eYTIEEGBsQ6IiifShTo+PmvDLvucZ57xPbsm8THn0K//kDvKCDeBg5YBwAy8H/gFtuHr7zEax8JKiH7fQkO/MOD4t8/gW/foS3+/38YVJSVucETTLiO+YdrZGBgwNz4i5igQVZHNBuSpyAk0ZoIKBxap4US8Myo9AgAox2AERDJw8KLQ33gHzMSqDUVMCR2BkOmAj4+Nxi6UwEMDKCpgNPvaTgVUDANdOzm7z8Maw6hpBdjNRB3+2kGQ2UQQ0MWdLCmEB8D5NKkklmgk/jTwWd0/fnLMHE9SA0DA2jf8EfwXlVm6hXz/ZkM+kpQ8yEUCzPoDjL44UIQQQiZA1ti1JMG6rQwMUJ7Mp2rIPKgM4KgLCpRkKb/sdcMtz8z8Am8k1X8KCT669NvtpffxL/95v31B/1EIDzWcrOCbgSDr/hnYGC4Cl4IhEfLyJGCDPyj7fcl6P2fvwTgav5+Y7T894mMgX+4CRQyIP0HCEmVbgDEkMEzFUBh+IxqHwmAejXDSAitUT8ORAgMv6Y/PBSpMhUgJsKfacAiLkXb4UmqTAX8+sI+1KcCvv2l1VRA+gTEyZvwMXJIUulKhdAM/vVQBicbaJ19ZSSUWzWXoToKyu5dw6CXDtr1a10AFWmFHeQP5VNGbW4GzSHY6zGICzLEuzLcXQg9PUcEOrYLNf3MLegtxROzGC6DbxEGnbTDyHAVxu5NYzh9G6qYKtSbHwwX34Ga/nDTmFm+Q7oBrFz/3vzg/vBT+Pcfhj+ga77gSnAyHnxlePod0j6EqrnxivnuC5wLgSATBVClw5r6+Zfh2lsC+30xA+DfP4Ffv0BbKUBHA/1jEBES/cnBg3/LL6YhEBFIUxvCphZJuZnIaWW0G0CteBk1h6ZgtANA0+AdNZyiEBjGTX/kcKF8KoCLkz1c6pe6NuhsDWSTqc6m1q6Aj88NqO42PAZSd1cAfCrg82/Kmw0IVy+rRLAZGBjgw+eQsXx/K5Ds/RcMatIgBgQrSzFYaICYG46B9rlemAFiMzAwfPiCOPPHWJXBRgcqTjn14StDaj9DdAfDwUugo4cW7maQj2EIaQIN7TuUMOw9z2CkwlA1D3S7VscKqG3SIlAGAwODrgJD42IoV1YcyqCc+vmX4fJ7hssfGL5ia9wzs3wXl3otJPrr6x/WV9/FiVkR9AA8c8IFWwUEdyGuhUDIEwVwxcOSATno89UPkj33/YcwXM+/n4wqv77BuaQykJvaJOllhPZVsWgi20wsZsGERrsBsJAYpQcpGO0ADNKIGeHOGiFNf3gsU94HgOwMzjRggZtJIwa1pgLePTQZ0rsCvv1lOPeRgYq7Aj5/Z2iMY7g0C9pe//wN1FyGR2KQDZQJueELymEAXc4FYTuVggbXz05jEOSBCDBwsjEE2zCsbwAtv4EKUUYt3sOglwba9fsbsT8WamJCN4gxfTPosJ1bTxj4YdeNra0DicNxxVwoc3Mz6IwgKIcCCr7m5w2hIz4hUwF8Ir/xrwh68JUB0vpnYGCAbwNAdiDmQqAR0vqHLPshfsU/cqD9+Sv65w/0qq///xjuvmIUFkadMEJWTVU2cqMf15k/xLf+kU0DzWjhcCrywMBoNwBHII0KDzwYvQdg4ONgaLmA1rcBDI9tvmTHKeUXBfz+/Wfnd8GbV1+Q7QYiNVJ+UQADAwMbz09+yQtE2kgVZVS/NpiLmUGDh4EXdEQhVRwIMiS+C0RysDHA7/BiYABdYtW5EiQ+Ix/lvP+kHtAOVw420Lmfx68xlIYycHOCbgoTouqisCsPGLyqQbYzMjDoK4PO+lSWBHEheMtJhnVHGFoSGW49ZthwjEFdluH0TQZmJoaVNRB5EMnLyeAOnuVQlWZoTwaJgFaDMEAPOYXyiaZ+/WV49YPx9mfiG29Qo//+4Xzziuf7V2Zult/8bG9ZmEHuhMg9AA/8Q9gQ8h7sSmAIF0I6qP1SlsB+gNFwvRMAst8Xfr8vJByIJ79+U4Z0AO5/Zfz3k0FdTtmPn7RDtTA3ARNpO54LffFIEWk4qYDWlwaMHgFEaoyMcDA6AzDCE8Dg8v4Ib/0zMDBQayqAPjuDKV8R9OsL+7uHJr9/ytItIT77zkDdFUFUnwpgYGDI9AGFx49fDI9fgRgQrCXPwMUOYmZMRNk+ywVeWc3FzhBoDTon1DibYcEu0HlBIKXUwN9+MBy+zLBoN9Ss/kyGmmgGQxUGPm4EinJiWFPHoCHL4GfFMK+E4SH4zB+0zccZE6EmLCqDMiBjqPDNwQhRvKxffxmefmO8+IHx7lcGJia0MVm8OsGSaCuCPvwAnRF05zNi4B+sCkoIwK4EhvLBFK6FQGDJ4UZABv5J3e+LHAq/f0vBW/8MDAz/fjI6s5K2/oe81j8kZeDpIOKRQnY/JJWiiZDHHT0miLxwG9VFIzDaAaBRwI4aS1oIjLQ1P3hCh1o7g/NM2Gm9M5iK94V9eUO9hep4AhcmRd0+ANV3BVhoMUCWSDTAVsxDHD4VdsqnTw10gdDvPwyfwa0pRQmG/RdB7f6FZaA1P2WzQa12iC5KyMOXQdd73XvBEGIHNcaaiAsoVMAbFX79YfgOW5mz4SjDffCkVIIbw9O3UKPgFCMjsSuC3vwANf3vfGH4Blvuz8TEwMiIvOYCbio+BvKKoBOvxb//5v2J7YwgrKuACJ4INGwWBf34w3D0AcMlpF4ovjDFJgfa+/ub8/5XxvtfQXH0/w+DhLAIN6TPik09mpjEJ1byWv8Qc4hv4kPU4yIpNwfkebDpoyuCwMEwSgwKMLoEaFBEwxByBNWXAI2O+uOKfcqXAzEwMLx683HxbZpvDGBgYKB8RRAz219eiZes7I9xBQgtxKm+IkiFm0Gak/IGA2hhDGRhvaUWQwZ4QgDi/SV7GXafBTGZGBnYWEFLfUAcBoaNjQwfkFawfP/FcAC8tKohloHo5hbEJCj57QfDgt0MD14wOBpAeyMhTSCpZA/QXQQgFg4swsfw+w+DawVU2lqb4dYThtegQzVBIncXMpy/C2Jgxf//M+AKu19/GW59Znz7C6s+kCBI739cukEKMPGDr4x//3C8eMr36xcjP+svbtZ3LMwMLEjDYj//8j79wo2pkYGBwUvnu6QQzFdgFZD1P5DWP4QNFh6qxL23DBfAfTbQEDgTAzsHAzMzyX75/Vvq6ht+uLY/nxjj5fglxIi9go741j+khQ2JfmQ23GpiGPBFQXAGMbpwqYEYAiGxqqH6iqDRJUBYw3lUEBcY7QDgCplRcewhQMUOwGjTH3sQI4lSpQ/w7fvP6Rcwtm0i2UItJuV9AAYGBk7BrzwiV6jlJGLMoXofgFq7AjpXgtb9MzAwLERaM+OozxDYyHAWfMEWxHeMjAyZvgzm4OOAICJw8sZjhvblDEsrGGx14WKEGd9+MJy9zbD5BIO2AuiwUbgGSAeAgYGBlxN0468Y4lR3qJKPXxmuPQL1GRgYGELtGFaj3mbAwMBwaSbDradQxXgoUFMeSfrXX4bXPxnvfEESws38B1pbDmkH4lYElnkAHpMGMxk+fRB8+5qNhfE/N8tvHrZ3zEyIbgAft9CFZ2wQZWhksNFHAZ7vaIIQ7pDuAPz4w/DsI6L1D/ERAwOoA8DOAbp0Ai6Cn/Hvn8Cll4idIv///f/5+m+BsSyRMwDIrX88zWiIGwgqgCgbhCQVuwGjHYBBGL+DGYx2AAZz7AxGt1GlAzDa9CcpainvBgytncHDYypAhoNBmYeoliiuxGCmzqAJ3izLw8kAX/wDUfzxC8PMrQxP3jBYajHMzGc4cAkijIX8/gvUIn/wArQ5WBSjyY6p4dsP0JofBgbQNl9O8JYDuBpeTgbfOoZfv+EC+BgZPgwyIgz96xjefQIdvigjyrCnk+HyfXxakOVAB7b8ZyCp6Q/XDuo/4J0KQG76w3X9/cPx9QsnpBsgyP6NjfkzKzNoYZKKJAMnO+eLD5wnH6J3A5QE/5oov2ZnBU3FwM2BMIZuB+DDd4azTxk+wtZuQbyDTLKxM7CihwSyPJR9/yvj9x8K8LP/GRgY/nz7p6Gg7E9EIoQYgdwBgIggk1Rs8cONgjOQLSKVjWkIZEYCYg6uEoEq3YDRDgAkkEdJIsFoB4DIgBpVhggBSvoAo01/RDiSwqK8DzC0lgMxMDDwiH7kFLhBSiBRqnYQTgUs3MWwD7ySZ1cHw3PsB88Q5WtipgJwDfyjWfDmI8O0zQzvP4PW+aBJMTGBtik7GzJURjKcgc1RmKiBDik6fwdNLWHu59+M1z4i1voT1oCqAlc3AGvrH64Vc0WQtBCDrChI/udvzsuPeO69R1kH46D6XYz/IxMjAwc74jQhBgaGodgBwDXwD/I8KmZkYmBlxdcNAJ3284//8xf04f9kdRFarP9BdR0KD9L4xtXshiglRg1EJUkkvCeAycA0B6KGkm7AaOsfM1RHRfCD0Q4A/vAZlcUSAuR1AEab/liCkkQhyrsBo1MBBIOc6t0AEVYGbX78LRB8jkrsZvj3n4GdlWFWIT5lBOXwTwU8ecMwaT2DnBjofCG0gX+CJlNdwc+/DK9/MN4mbs0PftuRVwThb/ojm4O2IkhfgYGHEyr/8LUQ2lSAv/5HdlbQQiBmZlD/B6JuyHUAIPt98Qz8Q/yFTDJi2xgA2ezLwMAAP/oTouXvz/+/P5Cw/oeBgQH/DADEWJJISCMbWQumCLIstdik2kJeN2C0A0Ct+Bo5AGm708jx9KhP6R4Co61/qgT5SDsk9O8v5g+PpOh5XxgDA5UPCWVgYHjzm+H0e0ayrw0uDQOlnZ+/GcgYRAfphGFONtCCfnNNBuNs0BA+TJgBcsrnpPWgFf9mGig3DMDVkMRQl2FgZQYhKSGS9EEVg875eU+d1j8DAwP8jCDiW/8MDAx8Au/lFD9yC/z5+Jvt5Tfx03d54dMv8qLv/PU/mssjNiNffgS9eu3vX9CJTMhLpO5/ZYDsCYb6bVBSP/4w3HvLsO0mvmU/WB3+/x/Dj28g9B+07wKkBN76//ePH3L0J0gUjP9+/yclLUbk6n+wDnIIyNGfuHRi9sIxRXDppYM4ZCKCgYFh9LRQOoT2KABt7v+Pd63kaBiNhgBmCJA0AzDa9McMQApFKJ8HYGBg+Pb957pXnC+ffabQMQS1cwg+I6iGoILhsSuA7KmAijmg9T8ifAy9GQSDirCC779A5/Tff87gawFSHN3B0JwA6huAONTArz8wZE4CGZTpy+BsCGIQiak48I9s4wPw4UjgFUHIwkSxf/3kef2CC3JGkLzQOw2k+yqQVwR5aH3l40JkJSZGBk0hhkegWYHBvhboxx+Gi88YniLcTlSwYCpiY2d48hvegkUf/v/3+/+vd39jFPjkZcUx9eISofoMAC6LCIrjGcKH+Bm5I4FLMS5xUDuMAfvhVyRNBYzOABCMx1EFaGB0CRBagIxyCYcAkR2A0aY/4aCkQAXl3QC6LQdioMYhocNmV4AUB8nnhPJxgo72/wg+75+CJIOiFX5OKPyUTxRpCjgv3jHkTAHpLwxisCb6docnX6k26g+yG4YfgFv/EB55fQAGBsQZQRI8v/Xk3sGXAzEwMMBXBMEXAkHsgpyZw8HGoAydHoALDyIG8kGflDgLMvAP3xjw96/ol6/CyAb++vD338//xJ//Q4v1P8juIYmN2cRH1o61WY9VEFkXnE2MSiK7AaMdAHiojjKIBKMdACIDalQZIgQIdgBGm/6IwKIli/I+AGQqYAgdEsrM9ldA+iETy2tahis6oMWuAFXe/2wDvQDzwxeGT9+oOfaPHnDE8Wk68I/pBPK6AX//cHz8wPXxPSsL438z+W8yIogx85+/QWcEvf7EbKKMJVmqC4D2b2A6Y2BFfv1jePmN8fRD5JFrMl0Eaf3DNTMyMfz7r/z3HytcBHL6p5S0WKIS4kIAuCxWBp6xf/wtZvyyWO2ihSCRzsDVtcCqnWA3YLQDQIuoHN5gtAMwvOOXVr7D1QcYbfrTKsRxm0t5N2B0KgB36EJlqN4HYGBgoNaVYVAnkk6R3QEwUwftHPgNu4sXbjMLeBfsadj5P3BxPAw6DPxjtR28ORirDD5B+IogGd5fJsrv2JBu2Pv0jZeT7fPvPwy/wFdu/PrD8PM3CMlzMXz7xaCnyMDPhc9kesr9+sdw8QPjt78M//4xfPnE8PsXmd0AtKY/xAv/Gfj//kcc/gM5/fPP5386uqpEHgCKp/WPZ7UMxHY6k1hb6lgFsTqMSJXIynB1A0Zb/1hDeFQQP0AqwPArHJUdDQG8ITDa9McbPDSUlGL8SGEfgJWVxYf1s5nqHzrcGfzjvRTluwK+vOb/9d2AV/Qp3aYCnoHXc1O3G3DnK8OHX4yDYSqAyNRpqsaw8yxD9mQsB4CimVAXw5DswYC/J/DrH+hm39c/0LRSykVe84PHLCYm0F3LpO6AY2P/Ii3/5dMHwSev2X7cEpfk//P1B9Onn0xvvkEGc7mV+GF358Lshpx6f/ImA4cAg50iTHSA6F//QMcr3YEti2JiYuATYPj5g/HLJ5L7AFhb/wwMDP//8yF77v+//38+g/YIu7D9YGDgQJYij02yQ8mzhjhdWB2DVRCreUSqRFYG2R+MqxuA1ZZRwdEQwAUGehIal7tGxYdUCIy2/gc2uig/HYiBgUFMhD/PhF1cipfWfvnxXopyK359Yf/wVH4YHBB0/B3j0++Q5iPloUJDE8zUGXxrGdL6Cbf+GRgYmpYwmOUymKpjd8+vfwxPvzEef8f49jcDEzPomjDs6kgXJbL1DzGYkRFyRhCERwIJOSPoO9O/y89Z771nhrX+QSa8/Aq+MgDERMFPvjPcfsZw5BpoTgBFgo4cyMA/vPUPt5mdg0FYjJGLh4REiKv1D+oAMKBcEvYPfG0c8ef/4B/+h7sZjUGC09F0EsEl0nAilUEsJEkxRAsyCekGIIuMskdDgAwwOgNARqCNakGEwGjTHxEWA8qC9AEonwqIkf/3ipvmUwGQPgCFUwF/fzFDpgL4JcF3ZdEl/Gk0FfDsB6M+/8DvCsAThLvOMlwC3+PLzMSwqoZBUQLL9bd//zE8fcPgV8fw5y/Dy/cMUzYymGugGwkZ+H8LbhdC5ECD8f9A4/EQLnkkSU1/ZCsYGUEbrEldEcTM8kNM8gd8RRDcwK9/mH/+5WVnRuwQgDuMkRF0ifLhqwxqUqD7FuBa6MN4+o0Rs+mPbDUnFwM7B+P3rww/viOPOCMrAbHxNP3BrX/+/wyI1f8MDAx/v4OG/4WEiF39D7KDdIzPxThMQ15Xg6wE0jRHNhCZjawSjY1HGdxMuKV4FCMbC1ePLAhhG3GDwvncV6SMBJEYJUdDgGgwOgNAdFCNKkQNAU1OltHWP2qQDDwP0g2g0B1iIvyZBvQYGoB0Ayh07a8v7O8emvz+iXRAI4UmEqEd0g0gQiGxSr79ZRjkUwEty6B+OTYRdGThvRcMNx6jo9tPGb79ZLg2B6py8R4oA0IhD/xDROAkIxNFUwHwRjbcQFIZ4OsCSNXEAF4R9EpYFHEnAAMDw9Mv3HgMYmJkuPOc4eI9PEqoLAUJdvytf4iVTEwM3LwM/IKMzCiXHUMkQST+1j9IBQPKRod/v///+wlq65r/eg+WHUQEyFnYnPMfx4mc2NRCxSDteygHGwU3E5el2DSBxPCoh5hpyM06OhsACqlRTBYY7QCQFWwjXtPolqNBmwSo0gfg4mTPM2FX15agtTd/vJeivBsAuS/s43MDWrsW2fxn36l/ZdidrxRdGYbsPKqzP8Du5eUmeiH3H6RdwqD1Jx8Z7+A9yRTUCiexRnrwlYHy1j8krChcEcTNg/Dtu+8oh2BCzEcm335mOHkTdGsYsiAt2J9/M178QGDsH81eFlYGAWEsK4KIaP0z/PuP0gH48xU0/M/AwMCLfHIqmn3YuASb1Ng0YRejolHYLSC9w4DLHLLFR6tjsoNuhIPRU4BGeAKg1Ps74/wpNWJUP21CgMLlQBBHvXrzkQ47gxmodFHA8LgvjG4HBJF0CtDOMwyzt4EShZcZw/Q8nBt8TdUYcqcybDoOUpnjz+CgzwDdeIq36Q9SjYT/E7ci6AFsMyuSVuowSV0RBLEVeUWQNM9X5IVAEAUKGHMD1lq0OiQUGuwUBNG/fww/fzB8+/KfmKY/ZP0P8vk/kNM/GRgYiDwAlLzV/5CApZCEdBLwDLcTYz6e5TrEaCdPjf2CDeRpHNU1CkBnao3eBDyaDigMgdE+AIUBSDvtVOkDDLlDQjkFv/KIXKFdqGI1mboHBDEwMHAxM2jwMPCyUtgswepYqCBJHQB1GQbjbNAqdqhmQhQXO8O56Qzn7jFc/Ag6cZKQcizyoFY4Dt/TrukPdwcZ1wX8Bc8BvHwq8vMnMxvTfxnel3DTGBgYIK3/q4/kGRgYtOUeQqR0FRhEabA8HjTfAj7oE2ILJeTdz5CjQgmb8Z9B9O9/xNTHn2//IOf/JKuLSIgJ4tcPaf0PSBsaj8MGm3vQnDra+kcLkFEuqYDECVdSjR9VPwJCwH3RxhHgyyHpRSnGj5SvCAIdEsr3OVYVfLw5jYOB8uVADAwM399zD49dAec+MgyeA4JuPmE4M4VBXoyoFKAixXB0CuPOa6Cjfr6Bm8VEaUNVBFoRBBmbRRWnQ+sfNDZG9BlBf/8y/PjG8PEdw8snIMTw/w0DA8Ovf4yYC4EgrX9k37yHLaxCFqSEDVnxf/wtmZ0uZKvvf2W4/xV0UBKfAAO/IAOujQFwLf//I01w/GP8/w3auiB+/Q+O7h7cBhQGtqSBogCNQ6p6iHbydEH00pQcbf3TNHhHCBhdAjRCIprm3hydB6B5EFNgAVWmAr59/0mfO4MZqLQiiEf0I6fADQqCjRytQ2gqgKQZAOSwEOVnOHmD4T3iqBuopAAPg5UWw8sPoGU/ZA/8Q81CouBTAQ8oWNCCZB7JTJADUDX9/cvw7y/Dr5+gRTI/vqMvA//zRwhyFS58IdDXt6CBf7gZ8BkABgYGK01Q25oVx75buBZiGNATllD2JBOjD4ua+9iC+vs3hm+4eyx//6v9Z4A2+v//Yvr3hen////i4gIJSig3A2CxjIFB8hPoTBuSOgBYzUEWJGn8niTFyLYMCHu09T8gwT78wGgHYPjF6UCC0W7AQIY+Xrup0gcYcsuBRncF4EkUZHcA8JgJXXpOyop/PKbBpf7/Z7iP0d+Ay9KBAVkR9Pcvw++fDN9AZ2VisxOpAfvzlzgDAwNkIRBa6x+yBAgyG6At99BYhYGNBXQUKRsLaLgdm7lEiRE86JMoU8CKsLb+wTKgy4PBR4VCeAgSbf3Pv8/M/3+DRs8jpDnkZLHfjYDQzMAAWQKELEILNshB6J01EuyhpJNAiV5kJ442/ZFDY5RNIRjtAFAYgKPa0UNgtA+AHiKDiU+VbsCHT1/nXqWHryi8KADuxNGpAHhQIDOo3gH4/JvxxhcGstf8ILsNmQ0f+Ae1wqHnyiDL05z9FzzY//UzA2iwH79tsD4AfBKA7bOEICfOQzC15R6qSzMIwS7fY2YGdQbw24Api9LpgjkAUxkxInia/sja//1j+PSeAbLnASL+77/sPwboEqD/fxj/fQLNaEhICMVBtj5AFOEg6dP6R7acWs1xZDNBy8aI6F1QYvVo6x8twEe5FALohB2FpoxqHw0BeAiMbgmAB8UgZFC+JYCBgUGAj3sIHRLKwMDw5TX/sNkVcPcLZBxzcCUuyNLzcx9p2PoHNbAYKbougIwg+/uH4fs3hjcvGN6+IqL1D3Ii9GJjZuZv397Kf3sr/+EX+6+/+E5O/YQ0WwLaTvCL4TcpuyZA+32Rz1dlhDqADM8S2fpnYADNVAgIM3DxICz5j3QB8P/v0HaFAzOS3xBqCbBonb5pZD6RxuLvoOExZLT1TyDdjEqTDkZnAEgPs1EdxIXA6FQAceE0MKqoMhUwtA4JZWBgGJ0KQE5t1JoBePOT8f432jb9kZ0NOnHyP8N/Gk8F/P3D8eMH28d3n37/YmAm/Vq8b2/kf/8W+vcftLSdjemfNO8rNC9AuNpyDwV5GDRkIDwEycgImgpggjakEeLILJSBf2QJOBt/YxOujAG02ReJRwITclTo1y/8iANA/zH+/UDC8D8DWet/IA1lov2HxUeUm4DFUNoIjTb9aROuowC2ZWc0JEZDgOohMDoVQPUgpaKBVJkKEBPhzzNhF5eCrWCgovtQjaLKfWHwqYB/fwgvSka1nyIeLa4NPveR4epHSBuGIrdRqBky8H/1M11b/6BxdlpOBfz7I/Tzi9z7J8pvn4p+/y7277/g3z8k9De+vZH/9ga05ZeZ+QckeH/9Y3r/Hec5mO+/MPz6wwDZEgBRD+nh/PwNEoeLoDHQB/7RpCFc4mYDiB/4h5iKTDIxMXByMbBzIrb5/v8FTZbkDf8jG46fjdb6J86vKEaimYAiRyUOka6CBhmSpXCR0dY/UqiMMqkMRmcAqBygo8ahhcDoPABagAwqLlXmARgYGEanAoiJVlocEKTIxSDCTmZLhsIZAPoP/GMGMnV3Bfz7I/T7B8+XN/x/f4HGsBkYGP4y/P7x/+M/hl/MTN8YGb8wMYN262I6Ay4CafrDuZCtwBCuNM8HNliXACIC2Q0MsuWfvCAP4nIAuCykq8PMzIB2RhBovy9Ji2twJxBKWv8Qd377Kvv5C3T1PwNdhv8h9lKRpGRdPhWdgWnUaOsfM0xGRagIRjsAVAzMUaOwh8BoHwB7uAwaUap0A4bcIaFsPD95RZ8ysbymZzxQvQ/AwMAgwsqgzY+7iYfbe2R3AAgvPsFtKX4Z+H5f/MrQZCnvBvz7I/Tji+D3D1zwpj+yFb/+f/vJ8JGJ6RcT43tGyOQDsjSYjdb0B4sx/Pot+v8/dB0PnoVA0kIMcmLYOwAQc+ArgigKedQ0QnnTn4GB4ccPyY8fETeZQU7/ZGBgoPrhP3Roo9PBCkhsEkmOtv6JDKhRZWSD0Q4A2UE3qpG0EBjtBpAWXvRVTZU+wJA7JHQ47QqQ4mCQ5kRt4hFKQuR1AEgefibkDIg8eU1/iF4ICTqtn7QAAOnD3/QHqQDj/wz/fvz/+IfhOxPTbybG96BLyqANe5A01tY/AwPDnz8Cf/+xg1SAsQjHN172T2AmCiHMyxBoCb0bGEUCicPIyPD9P+MdyvdagIOIFq1/BgYGyOmfg/bwH6TgJMDE2hnAKojHIFLVw40abfrDg2KUQVOAVIbR1J5Rw0d8CIxuCRjMSWAo3hlMlWuDv7zm//jcgM5RQ4tdAXe+gnYF/KLl1thf/xiuIB84Q71Qo7z1DzmahpGUCu3fH6FvH5TfP5H+8ooX68A/sv8YGZg4GQW5GEX//WP7+0/k3z8O0MaA/wzwFf/IiuFsJiaUS7ne/ODCeiLQW9xXHDAyMrCwMDAwM7z9w3iJGnstHnwjf8sv3F+gtv5ffuSxf9C+hT+MkLP/ab36H9kZyGz4unlkQfLY4F4SA5qBEEHyDMSlC80KBgaG0dY/rrAaFac6GJ0BoHqQjhqILwRG5wHwhc4gkBuZUwEDcl8YAwMDLVYEqXATOxVA0gzAoB34x8w0//8x/MfbWCNy1B/TZFAzl+Hf7/8/ICuCfrzlw7UiCK4XeRsA+Gow7CcCBVk+hN8GADKTiYGZEXRDMAMDNa9VRu5o4Q8iuPuxMv795X/3XvzvX5T+FknD/+Qd/gN3DKTdjDeS4WqxMyAmQOQoMQdiAqkkrsmB0dY/qSE5qp4SgJKBKTFoVO9oCBATAqPzAMSE0gCqocrpQKysLD58n2NV/9DBI1SZB/j7i/nDI6lhMBXAwMBA9amAQT7wj5nGGJkYcE0FkDTqj2kyaFcuAxMbIxcPo/j31zp//4n++8f+9y++M4IYGVEmZX79Y/r8F3FmDtyKT99A24tvPJW/81yegw10BigzM6jp//Qb4/F3jFS5Ww259Q/yCCPIRrgDiGdgbf0z/KPh8D9yYx3izv9EXLkFUYlGIhsFafdDSDRltOZitXS09U/rYB81Hw2MzgCgBcgol04hMDoVQKeAJtcaqkwFDLmdwSNqKoDgDABFW07xJjy0xiheteRLIm8O/vdH9McXPlzbfEmy4+tb0CmfDAwMv/9//cnwiZHhNzPTJwbGP6CNAcgNTLChaNsAwGIMUtIf2Bh+Mn5BtAPdjR7+/gs1VlsOtB/g1z+GW58Z3/6G6KCIxB/aJE0F/PvL/+mzyM+foPsNkN30/wfTv29MRK7+xxz+xxwRxxRBto7ObHis/sewGOJOiAJMWQzl2AVGm/7Yw2VUlMZgdAaAxgE8ajyOEBidCsARMINFmCpTAVyc7PS5Mxh0IMl7KcrDDjIV8OWNDuVGkWQC1XcFQKYCTr9nJHtXAKQBeoek4yaJ8zP+9ihxZhClCrSWhpnh31/R7x813j9U+vZG6O8v0u/0QrUK3vpnYGBgZeTmZhRjYxD+80/43z/ef9imAtC2AUAM+/iRm4GT4b8wI/z+3J3noK1/iALIwD8dWv8kTQXgav0z/GP89w3UliB79T9y0xlydv5/8I3GkIY1JEzwk8SrxGoORDuExFQAcR6ERJOFuJPsGYnRRf9o4TnKpScYnQGgZ2iP2oUeAqPzAOghMvj4VJkK+PDp69yrdPIbh+Azym0aCVMBuGYAhvrAP3Ls//sj+uGJPPIe3/////77R87iNOSmP7IVoIP8GX7//P/hP8MvJsZPjEw/mRhR1iChbQOA6BUS/cbL95mRkYHhOwNkKsBMjYGHE7TsR0zsEVX6XWR0tPDMBvz7y//jBx/iyH+INyDkb5Z/XxjFxQXjFGAXAkDEcZMSnxBzCJBBdEy1uMQxVQ5dkdGx/6Ebd8MAjHYAhkEkDnkvjHYDBnkUUqUPMHpIKJGxTIudwVzMDBo8DLysKIOYWDsAkCtmqbLoHM2/ZLRH0UwgiQte8yP89RXilHok7f///fvz/z/K6nwkWSxMPK1/uGrIiiAmxp9MjB8YYFt4QUfN8rN/+sj3+xdojByuGLQMRuYDG9tPJiYGhn8MDD8ZNAT+iwoy/OF/RJXAJzu0cfUBUC78QvYGAwPTNy6GP8xRciziYgKoMjh5yB0AnIqGggSRvRRMZaNN/6EQvcMcjHYAhnkEDxXvjfYBBnlMUaUPQM87gxkYGEanAtASFdoBQWgdgOE98I8WFKDzfIibCiCm6Q83/D/DX/DNwd8ZGX8wMX4G7QpgYuAVYODiYfjyiffdGy64SgYGBi7u3yLi7+CLcHhZGL7+Y9BVAm0AuPoQtCJIWx7ERtZCJPvBVyIV4lSG1g3A0/pn+MvC9JUzVIJRRkYYp3FIEpQ0/TGb0UgGDyXmaOt/KMXW8AWjHYDhG7dDzWejfYDBH2NU6Qb8/v1n5TO2l89wH35OvYCgSh8ANIgr+pFT4Ab13EWUSbSeCkDuAIyMgX/MYP////8/PCuCSGr9w03/y/D7+/83jAz/ICuCePlBfQDQSqG/LO/f8H37ilj9IiTyjYcPmhEYwcfyaCs8uP5YATQtwMBARgeA8qY/3BfgPhKI9/OL0ofPHAxM2CdMmL5xiQkLRcsiPAXSgwNT0vrHYeSgE8bTS4FIjbb+B12cjVQw2gEYqTE/KP092gcYlNGC4iiq9AFGpwJQwhQvhxbdAMhUAKQDoCzD8PoH6IpZvK4gR5K6jVFiXIC54p8YXQwM///+/Y12sCR5TX9k62Argr4xMX7m4WfgE4RK/vrF/vYVYkWQBHghEFSOgQHS9IdsX9ZRIG0GgBYB/u292pfXoGVU/9l//Wf/CXcnlPGPSYJbKkD4HzcX4sJjqBQG9eOjuAIjaMYDQwZdANJQRhelBh+/yfhlqWH/6D1fVAnFUUOoA0Y7ANQJx1FTqBgCo90AKgYmjYyiSjdgyB0SOsymAn58YRBj+f9XgDrHzKOlNFo0RtGsQObiXfGPrBAnG3lzMOWtf4g18BVBTIxfOXm+CYlChEEkfEUQfCEQSBSMIVMBDAyg5UCQ/gBYGB9Bi9D+90fkxxehL8ibKJj+/2f9jdwNYPzJniTHL8BPYO/vj4/iENcT0wGAHMWDslsFohlGktFMJ2gmzGzyaYKuGh34Jz9wR3XSBox2AGgTrqOmUhYCo30AysKPHrqp0gcYijuDmdn+Ckg/ZGJ5TY9QRrKD6lMB998yiDMziEog2UENJi0ao/jdRe7AP6apoM3BX97IYkpQIgKZCmBk+M3O/klQ9A8rG9Swv7AVQcgLgaByDKBbunQUHjAwMjAxMeLvBtAiwP/9EXn/RA759CS4wxiY/v/j/MHA/IfhH1OssICYKGh+ACGLwYK3/hkYGIjpAGAYQBMBtPY6GpdsK3GZM9r6JztIRzXSDox2AGgXtqMmUxQCo30AioKPLpqp0gcYisuBhsdUAC06ALRojOJJy5QP/CMb/g18w9f//3//knVOKLJRaOz/DH///P/xk+ETE+M3cenP8D4AAwPD929cr1/woi0EYmBg0JaDtP4Zrj5U0FZ4wMzMCDozFM1cBgZaBPi3D2ooA/8YloK2B7D/UlOV8eHAvjEArmNwtv5BG6+RlnwRMz9AjBq4r9EYo61/tAAZ5Q4SMNoBGCQRMeoMLCEw2gfAEiiDT4gq3YDRqQDiAbWmAqjbAaBFSxR/mPz7I/r5lfSvL4RXn+M3ByILaf1D2AwM///h3RwMU0Ya/Z/h7/f/7/4z/BIU/cTDi1hP//cvy6+fbOzs3/7+Zfj3l+EvGKlLPbh8TwF0WBAPg5nOAwYGBiZmlKkAWgQ4lmU/uLzI9D9Ngw/P0n/kpj/EDPoM/+Mag4e4AStJkhaSFI/e84U1wEcFBwkY7QAMkogYdQbOEBjtBuAMmkEjQZU+wOhUAPHxSZU+ABU7ALRojOIPjW8fNHCc8Y9fHxZZ1KY/sgLQ5uD/DHiWoyMrJpYNWRHExf2bg/P3nz/Mf34z/f7N/PsXEyvLZyYm7Bcv66s84BdmYGMD3Y4LWRFEiwDHt+wHzXNM/1U1JXw4/6IJw7mYrX/arf9BG5snvoFOvEq4v0hijA78kxRco4rpD0Y7APQP81EbSQ6B0T4AyUE2EBqo0g0YijuD2Xh+8kteoH+QU9gNoEoHgBYtUfwh+e+P6Lf34t/fE9h4it8QuCzu1j9UyT/irguAqiaOgmwO/suAmASA6GNjfcvIiOWWYm150AwAryADDy/Dg6+MDIwMLMygzgBEF+UkCQP/YMv+s/9KVxHi5uQA81AIrE1/iAqsMwBorXA0LkQj2ooduOCAMHC5EM0xo61/tAAZ5Q5CMNoBGISRMuokLCEw2gfAEiiDT4gqfQB6LgdioN59YZz8X4bWXQGUdwAeUHzhFKlJmC4D/5iO+v+XxJuDMY3AFPnL8Pvn/w//GBAtfiam36wsWA7KhHQAGBgYHv9i5OZh4OYFGcbEDD0zFMShAP/9I/T1ndiPD2BDiTDnP9sfMUnuGFEs6klt/RO0Dd7aRmaAdiAQ1EkbBXBn4Dd+tPWPP3xGZQcJGO0ADJKIGHUGUSEw2g0gKpgGVBFV+gAMDAwfPn2de5VOPqHWfWFDayqAkg4A/Zv+tNjvS1Ly+v//399/v0nSQoxiyIoguEqsC4GgHYBHHPeFQZMGLKwMwmIMzOBJAGZm0HlBcO2kMn7/kPzwTPjPT5BZTExMjIzMBExg+v+P5wvo8B9h2L0GMA3Uav1jbWQTLwhzDoLGqhcijUcKooDUyYfRpj883EYZgx+MdgAGfxyNuhAlBEb7ACjBMVg5VOkGDNGpAF6Jl6zsj+kcM2QsByK7A0D/1v/PL8pf3whiP5WSxIAmuOYHr3m02hz84/9H+IogtIVAoNb/I+hiG0gHAOJCcWlwHwB8YCikMwARJ5L8+0fox2eBTy/QBvIZmZhYsJ83BNqG/P8f1zdxYSG04X88TX/aLf0n0ptoytBa/GhcNMWkckdb/6SG2Kj6gQVMA2v9qO2jIUBqCLgv2kiqllH19A8BKcaPlFvKysriw/c5VhWxRoJyM/GY8OO9FB5ZIqX+/mL+8Ejq43MDItVTS9mz7wzPvlPLMJzmPPhKk3MncdrHwABa8f9B49MzkUHQ+gcNBzMxMrMwszEyUrPqZGRg5mQU4mCEjqn//i38/x8PIkxgrX+ECJj1GzQZAGL9/8/w5w/DPwIHcoJUwvHfP0LvHklhtP5Bi2v+/fv9D+spqJDj/5n+2f9BSWf4W/9wG0liQPb1wrWgceHixDMYYTsm0DZ0o3GJNxBT5WjrHzNMRkUGORidARjkETTqPOwhMDoPgD1cBp8otaYCVj5je/nsM338R5UVQcxsfwf5VACpMwD0H/j//UP28wvxwdH0R096lG8O/v8f1Gb/9+/vv/9///79xcDA8OffLwYO0Coj5j9czKxfddguodmKPAPAzcvAD+0ywFQxguYEsF4XAFMBor++V8LW9AdJIWFGtBVB/9l/Qe4AzpCVhG//Jab1j3XvL5JFWJjUHZgH9dvAlmBt7lPFrtHWPziAR4khBkY7AEMswkadixwCo90A5NAYtGyq9AGG6CGhnIJfeUSu0D9qiFkRRHwHgP5N/wFf8U9clBG7Ofj//3/gDgOoxf/33y9Io//fP8gxmv8Z/iOapoysDIxsIK7+3y8MjP+YWL4zsr6AOwa5A8DAwCAlB5dBMBjB3QAGbMPmOJb9IPRisKArgv6z/fnPARr4V5dX8mEHOY+Ypj/ENEgHAOIckE6I6HAhR5v+wyUmRyIY7QCMxFgfTn4e7QMMidikVh9gKB4SOminAojsAAxI6//DE3mqDPwzMDBQtuifcPbCtjkYtIr+////P359/vfv7x/w6D4hgxDdACbO/9rMLxj/szD/4QTpYvrLzPGSgRF0RQCkA6D4lh3CgG8DAClDxZhnBEGW/YD3+6IqJcRjZGFi4AW1/hkYGCDD/6S2/gnZQCt5rKP7aIKYXNBCKOJcNNr6Jy6cRlUNUjDaARikETPqLOJDYLQPQHxYDaxKqnQDhuLOYAYGBh7Rj/Q/JBQ0SAxuQ2KNd4IdgAFp+v/4Ikz7G76whgclgv///vsLXnsDGun+9//vt+/v//z9wcBA4laB//+0GV8wMDMwcYDGypn/cDH+hx7Lw8T25YHEQ8W30GuPIR0AIREGDi7czgZPBYBdxUDcsh/sRjHy/mZgAc1diAuKxIjyEt/6Z2BgUGR89x+2/p74hjV2d4BF0drrYLGBIUZb/wMT7qO2Ug+MdgBGwXAIgdE+wFCJRar0AYbocqDBNhWAvwMwIK3/ITTwD89x////g98W/Pv/99//v/75//3/b4Z/oFX9DODtwqBeAVw9Hgao9c8Amgpg5PwP2WbM8hvplB6mv0zs7xmZPjAwMEA6AFi2AWCY/v+f0K9vmKf9YKjDJcD6j5EHtC2BgYEhlFVNTEgIl0Ks4oqMiGsNQH0arIqIFoS3/uEMrFrxy2LVQqrgaOuf1BAbVT8IwWgHYBBGyqiTyAyB0W4AmQFHd21U6QaMTgWQFG+YuwJwdQAGpOk/NAf+Gf79h6zjZ4A3/RGR8p/h/x9IN4AR3A1AyGCywE1/JGHG/0ycoEF3xEIgmCQj828m9tf3Rd4zMDBwcDIIicIkUOl/f4R+fhX49Y3911c2VBlSeEz/Gbn/QIb/+RgMYsWhp5ESaQRk9T8xiiE9JDw9BDq06YlxJwMDw2jTn8iAGlU2+MFoB2Dwx9GoC0kIgdE+AAmBNaBKqdIHGJ0KICkO0foAWDsAD+h+ue+/P6JDd+D/P8PfP/9/QUb9scbF/38M/34yMPxjAG0LwLEiCL31DzaIkf0fIzOoSYy8EAgsAyIeSrxnZHvGwMCAvA3g3x+hv3/Zf37m/fWNjTo7KNj/MXKBhv+/vZWPEGKSlRAH2U0cJr71DzmlB+RVHCYT7B7g0EesMPG9i9HWP7FhOqpuKIDRDsBQiKVRN5ISAqN9AFJCayDVUqsPQM+dwQwMDFQ5JHQw7ApA6wA8IKXpLyjK+OUD8uk1oITEyMTAxcPwEbTqG8QliIfIUT9Y/AE61Yfhz5//v37++/iPAdRExqIISQjPiiCsrX9Qm5jlPyMbaBKAgYEBZSEQA8MDIdAVAAofWJjY33/SfMnGJvT7J8/v7xzfP+De8IHkGGKZTP8ZeX9/ew89aShLURB++idBE3C1/gk2tfEoIF4Kj0qCLsejYLT1jydwRqWGIhjtAAzFWBt1M+EQGO0GEA6jwaGCKt2AIbociJntr4D0QyaW13SOCshUAHIHgMjW/8/vDAc2/f/1g4B7mZgZzJwYRfHeq/bvj+jnV9K/vkB3tRIwkZA0rY/6gdsPXqH/9x/Lr2/f3xPT9IdrZPgPmgr4/xcxFYCr6Q/XwsQFXV/E9I+N6S8ioB4I/VR4B+U+lf7y5wc7Cws7E2TTAFwz5QzOv9+/SkOM0VCS9+UA72mA8AmRWDsABAfyCSogZC2t5Eeb/rQK2VFzBxSMdgAGNPhHLadlCIz2AWgZutQ0myp9AAYGhg+fvs69Sk2H4TdrqE8F/PzGIM7M8BVplyl+/75+ynBiD56VGui6NQwZVfXQBSH8bx80huBRPwz/mf7+Y/3FwPqHgenf/3//fnz99uc34eF/iJchJGhXAGj4nkGH6RXS6TgQSXSSifMv/Dh/rAuBGGCzAaBZAmY2ZmZWdCPI5jP9//5HEq6bpOF/BgYGzA4AWuOeRoP0cAfjZ0Bsh5BoKjEFR1v/aEE0yh02YLQDMGyictQjWEJgtA+AJVAGpRC1+gBDdCqAjecnr+hTOk8F/PzG8PMngzDR67o3L4S2/j0jGVlw7yxlZmbcMA+6diUih+nrZ6guSLobogP/DEz//rFCr8KFeARC/v3z59snEi+o/s+g+ffFf9B4OoHNwfBtACC7/jOx/OEGMVAxZDkQRIyRkYmZiYXybsDXN/KMfL8ZwUd/MjAwSAgLUr79F61hjcxFZkM8MnjI0db/4ImLUZdQHZB4SjHV7R81cDQEaBkC7os20tL4UbOpFgJSjB+lGD9SbhwrK4sP3+dY1T+UG0WMCT/e413mQowRYDW/vrC/va/0/YMGmDeoCVNHfK1/BgaGv3//OwVCBnwZvn1B8cu3Dxpv7ykNsWU/TP/+c/z8y/P5Pzt46B7FQwzMLCw8AvzsXMQuvtdmfKHN9IKJlYGZi4GB6f///3//I10DjGo2A8NfaDCCxBn//WNGdwC89Q9ZEfT//78/f3/9+v39339oBwykkUT89Y08A+s/eOufgYHBnRV0BxnxxmAO/2PeAIDcKURmE28LmkqkkEKTwcIlUvFo6x9L2I0KDSPAMoz8MuqV0RDAEgKQPsDoVACWoBl8QlKMH6kyFSAmwp/H/2flM7aXz0gcnSU9TCB9AKosB/rymv/XdwN+yQuku4J+Or4Q0U17+QTqHjZ2hp/gDQNDdb8v079/nN//M+PrTzIyMbFxcLCysX37/PnfX3wtb5RF/4wMzJwM/34z/P/17/9/7NcF/P/DyIg00/KP6RfTf1aGf+jDdpDWPzTEGRj+///3+/d3FrJWBIFa/wwMjJzQvQeQ4X8xIdJO/4S7ZNAyCHY5Rpv+gzbuRh1GRYBelFDR6FGjRkNg8IQApBsweNwz6hJcIUDFqYAY+X9DcSrg3UOT3z9lcYXPAIpDdpleP/f/wQ0Gbl5GYXFGEQkUJCTKyMXNeO8aw9XToCYWEzMDH/jaqJ9flD88kR9yi/6hA/94W//w6GBkYuLmxzkVABr4Z3wBVwxnQKYCGJlBrXbsUwGggIQrZ/jL/J2FmRV8oihUEK31DxVlYIBMBfz9h6/rAlfMwMDw9Y08tPXP8Rd5+N/hPxEdPmSDBoiNGk4UOWK09U9R8I1qHjpgdA/A0ImrUZdSHAKj8wAUByH9DKDKVAADA8MQPSSUjecnracCSN0D8OMbw5412JupmMmCkYnBP4Hp90+RIXnDF9O//2y//7GBJy8w/YZXBHNzMMrAPw69oOsCvkPkmJDb9yjbAMDyrAzcLP+5/v779e8fymwDZDmQwjt2CAOsFkQwMTGzMLMjmwkSRcWQpj9IjPk/E+9vBiZEc5rU7b9YdwCDTAZveUaYCxEafORo63/wxcmoi2gFRjsAtArZUXMHZwiM9gEGZ7xgdRW1+gBDdGcwM9tfXomXrOyPsQYO5YKkdgAYGBhEJBg3zv/34Q0DauMTxS2MTAyikgzeMUzPH8h8fiFOnRupGBjod9Any99/HN8YmFCa1yg+JILz59ev719AFysQ0/qHmvef4d8fBrTNwUwszAxsoP3CUDVgipNRhImB5d+/v3///oIs90c+GBStAwDWwYBrRRCi6Q9Wx8jxl5ELMWlA6umfeFr/YOMHhiB+k/Fo639gYmjU1gECox2AAQr4UWsHNARGuwEDGvykWU6tbsCrNx8X36bfrieq7ApgYGDgFPzKI3KFtCAjTjUZHQDiDGYYuiv+yR74xwwZzf/P/vz6/fMbaTto4dcFMDCApgJYmNk5OXh//P/4lwExHcHEwMLFKAraWQve9fsPdScx1g4A6GYxRia06wLQWv8MzP+Z+FE6GyQN/8P3/uJpcEN23+KfB8DUjimCGdq4RHDpRXPJaNMfVwCOig9jMLoHYBhH7qjXcIbA6JYAnEEz+CSocjoQAwMDaGewCbu6tgR9vAjZHEy5Xd/fcw/aXQFYfScirvXjaeDPR64sP8ywKiBJkG4D/wxM//5yfSVv2Q+mj7QZXzCBNgezcwvwMzEzYyrAKcLIwMTBAN77++///79//v74/5+Bk1GQjYEfruUfw5+f/z9B2vSsLBwszETdAgbZHPz7D7Qjgd76R937C9n+S/zVv3C3gbolyBxU9n8GBvytf4hySOscwsZvIFwNhIGmEY9eiEsYwQuTRlv/kNAbJUcaGJ0BGGkxPupfRAiMzgMgwmIosEb4VACP6EdOgRtUjCiqzwBAB/7v2Z24PBPiTgtLCwiDDJJ+TX8Ghv8cP6nY9Mf07K8fP8meCmBj5eZk5wO3Zf/9+v/lNwNoZRFoaohRhJkBevPXf4b/oOVA//7eE4TuJMDcDAB31de38qAVQUxQvVBxjOH/eAl2MSHwJm6oCgIUfAaAgDqYNK6xeZg8iIY06InpM4BUk44ZGRjsFmwgXd+ojtEQGA5gdAZgOMTiqB/ICwH3RRtHpwLIC7oB0UXFqYBMA/qtBaLWVMCX1/yDeSrg3x9RyFE//xkoWj0PSVr0a/2DD/qkaeufgYGBjQM0FcDMitrmhngVFwmeCmDiZPj1++vXH+9B4/0MTOyMfJANAAwMDD//f4BrZWRgZGFmZ2XhYGYCzTbgOhoIdNrPW3kGyBlBf779+4847pORG7H0HzL8T1LrH+4S4hnENOsh4/TEm0mSSvsFG0Zb/ySF2KjiYQZGZwCGWYSOeoecEBidCiAn1AZID7XmAYbozmAGBgZqTQVQawYAOvD/CrpGheWH2Z+/sKXk3OTcaUC31j9oxT8HiWv0cSd7Yvb7/v71+8cX1NvRcBsIl/n3m4H5Hwc3hyBc5Nf/b78YPrIx8LMxcsEFGRgY7gv9kHvDApoN+P8PczPAV3DrH1k9dCqA9R/o8B8kiQghJlkJou+IBmskdQYArGnAiNFlPwMW9KMWDxow2gEYNFEx6pABDYHRPsCABj/JllOrG/Dh09e5V0m2nWwN1NoZTJUDgqjSAYAM/A+5o34YKDjoEzP2iWn6w3X9+/ePvM3BDL9ZeNhBe38hRv1n+Pfj/0c2Rh74QiAGBgbIoUB//v56IPjj//9//2FL7jGb/hBDQBMLjIzsQsyMqFNiJG3/pe7hP8QsDYI7ngzG6LIfMgJtVMuwBKMdgGEZraOeIicERvsA5ITawOmhVh9gxE4FkNEBEJdh3L36/4tH/yH3+2KNfDZWbnFhLXlJqz8cJ7EqwCVIt4F/yH5fCg/6hPuCpNY/XNffP39+fP327y9iEQ5cCg+D8S8LB6MAMzN0KdF/BtCuAKa/7H///f737++//3//wW7+eiD0k4mJhZWF/f///3ha/6AOAAsDhzBK8394nP6JKxhHx/5xhcyo+EgDox0AcmL89+/f3Nzcv3//RtMsICDw/v37nTt3enh4MDAwLFiwID4+Hk3NIOcqKSndv3/f3Nz8xIkTg9ypNHLeaDeARgFLI2Op1Q0YooeEMrP9FZB+yMTymozgJbUD8PMbw26iLwJjYmKx0s/6w3GKGIfRrekvJsX78t0bWq/4J8bLEDXkbQ5mZeT+x/AXfjAoMwvb3+////1G2XoBX//z66MaIyNoYwDERkySlZeJhQtlNyCpw//UnQHAdCG1REab/tQKyVFzhgdA6fcPDy/RwRfXr1/HbP0zMDDo6ekxMDBcvHgR4gYIF8IeEuTXr18fPHjAwMCgo6MzJBxMC0e6L9o42gegRcDSyEwpxo9U6QOADgnl/7PyGdvLZ59p5FRkY3+8l6LKcqC/v5jf3lfiERWm7gFByE6Fs/eshV4DrKAiz89kzsrCCT5EES7P8J/h/6/fXx48Pfr524t///4cvzTD1MwIIY2DRc/Wf5DoN1Yp3hVvOV+8BW2rxeEiooTJG/hHM5qNg52FjfXH129/MYaT0FQiuIwM8IOAIIJ///ziEub98/Pfj/fQIz4h4pCtwFf//2RggF4EBo0/iDSMZGKFnLUD5UsIC5J6+ic9V/+TvUBotPUPjeBRajQEYGC0AwALCVJoeBPf1tZWXh50qAJEt4ODA7wDwMLCoqWlBREfKuTVq1chNcRI7gAwMDCM9gGGSoqFuJNafQBWVpYY+X+vuP/Q574wyOlAVOkGfHnN/+u7Aa/oU/KmAiDBSJCE3P6rpm4kJMTGwPAIq3pWBgZtEYUrF/99+fbq3z/0OVI0LXRr+jMwMMSo/BIT+cvAwM7AwBArzvKKlX3hC1DLGM1JRHKp0vqH2MXExMTFy0POVABEP5j8+f0HFy8PKwfr94/f/3wDnecDaf2DJUHEn7+//v77w8TEzIx6+icjCwNaB8Cd9RsDAwdID3GYKq1/4pv1xJwdhOnw0dY/ZpiMioyC0Q4AOWng0qVLEG39/f3GxsYQNpyEyGpoaLCzgyobuPjgZ1y5Ar1wVFtbe/C7lqYuHO0D0DR4qW445IRQak0FZHL/nH4B1IqiujsxDaTWVMCvL+xvv9BjKoD1jxwDwwtMjyCLMEHXnKAMLSMrYGBgoFvrX0yK143rrZiIALIDxISECvj+7PjDdePeQ2RxgmwqNv2R7YJMBfz68eP3D3K6JX9///714yfosFEhrp/sv9CmAiAW/f//7+9f0A5k8NQNRIyBkRkljiSEBcWE6N36B19xAHUPFSmIx/4zMIy2/qkYqqNGDSeAsvJvOHmMpn6BzAAwMzNjjvH//Pnzxg3QZT1o638uXryYmJiooKDAxcWlo6OTmZn56tUruCP////Px8fHyMhYV1fX2dlpaGjIzc2tqqo6efJk0Mlu9+8nJCRoa2vz8PDo6upOmjTpL8bWMSLNr6mpWbJkibm5OS8vr7y8fFpaGtwZysrKycnJECe5ubn5+fmBjov+82fixIlmZma8vLy6urorVqyAKBgJ5OgtAUMuliHdAMqdzcXJnkffO4MhswGUu/zLa/6Pzw0wzbl58f8P4o67/POb4cYF9GHWf39Ev33QgBh7/f6W3x/VIWxMkuWH+avH7J++PmdgYEBuaCKr/PZWnp6t/3DJn2itf4hjWFlYfDl+xUuQMExDo9Y/xD1MTEwcXFxcfLyk3RwM0czA8PPbt79/QL1Wdm42XkleDkHs7fj/YADTxMDKjdIGcPj/ES41hBiQC30hLX64s/+DL/kabf3DA2SUMRoCaGB0EzBagBDFlZCQePnypYaGxvXr19E0nD9/3sgItOy1s7OzrKyMgYHh79+/HR0djY2NaNsGBAUFjx8/rq4Oqkrv3LmjqqrKwMDAz8//8SNKEVxQULBgwYIPHxB3vjAwMDQ2NtbV1UGsJsl8ERGRN2/eQDRCSDs7u4MHD378+FFQUBCy/gciXl9fX1NT4+HhsXfvXogI6LwIRsZt27ZBtjjDBYc9Y3RLwJCLYqpMBTAwMAzdncHcIu/Zue/CI+7HN4YDG/+bOTMKicHFGNA2Af/5zfDxHcPbFwzCEgzCSEfAf/ug8RV8xv/Nqy/efwLtEUIYgZdlrBXPyn8TTQk9m/6YA/9ojoFwf/8hPBVA06Y/xBnIJHkrgphZWbl4eeDm/P3999u775d/gaJcm/HF1f8SECkWZjYmJtDkPyPG+T+kbv+lyvofiKvIIPEvHBpt+pMRpKNaRhQY7QCQHN0vX76UkACVpFJSUm5ubnD9tra2SUlJCxcuTEhIYGBg2LFjh7u7OwMDQ1xc3OLFixkYGDQ0NHx8fLi5uY8dO7Z7924GBgb4YTtr1qwJDQ2FGOXs7GxlZXX69OkdO3ZARBgYGGxsbOzs7A6DAQMDg6ys7KNH0DW4pJpvZGTk7u5+9erVzZs3Q1r8jx494uDgWLlyZWFh4Z8/f/T19VNTU11cXLZs2VJSUsLAwODp6SkkJLR06VIGBoaMjIzp06fDHTZCGKN9gCEX0dTqAwzdQ0LZeH7ySyLu4frzm+HTO4bXL/7LqzJygC+PQu4A/PnNcOfqfwEhRhFJBhboIZMMaDd8MTAwvHzEev/pYYKJgYNdwEA9ggHjFjB6tv7DJX+ysoKauQRdC1Hw4fPn2Y+xX9FF59Y/xD3//v0jbXMwWBs7FxcbB8qcxrkvgsofQMuc4B0AZmZWyE4AJnZGdgHEAUHD6fTP0dY/ODmMEqMhgA+QUD7iM2YkyUHW/zAwMDx79mzBggVwr2tqasJ3AMNPBFq5ciWk9V9VVdXS0sLICJ2lzMvLmzx58smTJ1+8eCEhIXHhArSezsvLmzhxIsRMPT29y5cvMzAwZGZmTp06lZGR8e/fv6qqqvfv33/69On///8ZGRlJNT8yMnLRokUsLKB4t7e3P3ToEAMDw/Pnz83MzHx9fXNzcyHN/ezsbAYGBgiXkZFxzpw5oqKiqampDAwMUlJSEOeNKNJ90UYGBobRbsAQinQq7gz2Yf1spjr0dgb/+sL+7qEJr8RLVvbHoHNgWBmExBm4eBnRpgLgA/+ikozIA/+/f8h+fiGOdsOXuNxvcTkLpu8m33+8+/PnB9pSISZGJjZWHg52fvANANAyDZJm6Nb0R9rvCyrlILYTQwrw8haocWLuChiQ1j8DAwN5m4N/fvvGzMLMDC7hIb424nn/j5P3+8fvDF8hAgyQcR8GBgZmNmh9BJFw+v+JpO2/EF3kkfgH78kzE6JrtOkPCYdRcjQECALSikiCxo0EBfAOAJpn9fX14R0AUVFRSUnJnz9/ZmVlMTAwiImJaWpqLlu2DK6Fhwc6UXvt2jV4B4CJiQm+sIeBgUFERARURjMzt7W1QXoOzMzMkpKS9+/fFxUVZWRkJNV8RkbG3t5eSOufgYFBRUUF0gGQkZFhYGCAd0IgHmFgYODiAo0T/v//X19fPyAgIDY21s7ODu6FEcgY3Rk8tCIdsiWAKlMBYiL8Q3Fn8N9fzB8eSXEK8vOIQPf3c3AxuIQwfnrHcPPifzY2Rj5B0MA/Jxejkha+gX+0eP/HeYadE3yeDliC+bvpp6/Pv/94B9pm+u83Gys3WBhB0K31LybF6yPwSYAPZb8vwh2EWKBdASy/nBQFp90HHRI6UE1/ZGdCNgeTNBUAOREI2RAmZkZuIS4uTs5vb76Dbgv+94eBmQ3Ux0A6AJTy0z9JatOjdR0hroV0R7BKQRQQJEdb/wSDaFTBaAjAwWgHAB4UxDIgh/wwMDA8fPhQTk4OTRtEFtKG3rt377t370AriV+9io2NRVMJ4UIa2ZDGt56enrCwMEScgYHh5k3Q8llDQ0MBAUR9dufOHQYGBshsA6nm6+vrS0pKws1/+vQpAwMDJycnZEUTxA0MDAwGBtBNhD09PU+fPj1z5sybN2/mgEFaWtrMmTPhJoxAxmgfYMhFOrWmAsA7g5l3fhe8eZXAGThUCSLItmCqHBL6/T33r6/oUwGs7IxHt/9XN2AkZuAf4qMf75VArUZGZjaB2xAR5u8mV+5u/PgZ/dJAdjY+A/VIRp6LdGv6MzAwhMl9ExdlY8XofkCcSjzJzclRoCbK9/nhWnrEM2F3QaYCiL85GH4iEJrRrBysvJLMaj+fnH0nwMnO9+f/DyZWxN1hpJ7+iWY4tbijrX9qheSoOaMhQBCgnABAUPWoAvgYv6CgIGbr/9mzZ5AttpAjgG7duoU/xFhZWXV0dN68eQNpi5uamsLVv3r16tmzZwwMDMiCz549gxzaY2hoyMDAQKr5lpaWcPMZGBiuXbvGAL68jIkJlAwgHQBOTk7IdmTIFMHp06dPnjyZmZnJzAxaKjpr1qxv34g7TATZpuHFhiwHGl5+Gua+kWL8CJkNoNCfrKwsPnyfk+l4Ri6kG0Chs0FHEYCnAr7DTvJhYGDgFWBw9GdE3u8LOernwyMptGU/cNsv3Fh24cayG/e3wUWOXpjy8TNofRForpKJlZUFNGfIwMDw89enU1dm//1Ep4tQxKR4Y1R+yUiJkLToH+4LNIYC4ztV1k/iQoLxiuLIIzJoyujMZWZh4ebnYwfPyhK0Gn4iEJpKXZZX4DOCeP6z/GbhR0iCT/8UQvDJYlHSdodYSLwJkLkCiC4IOTr2DwmHUXI0BIgHozMAxIcVSOWvX78gp3xCmuAgISQMXx0EmQGAjKwzMDDU1NQ0NzfDFd67d+/169eg69MVFHh4eE6cgI6fQY4Pgig7f/48hIFVEGI7qeZDdEGMffPmzePHoJobLgjpAOjq6jIzM////z8qKoqBgUFeXr6jo8PMzOz8+fMnTpyQkJCATFlADBmxJKQPMLolYGglAGpNBQjwceeZ/BmKUwFfXvN//4iYCkCOvn9/RD88kcfV9EdWCVmOyMDA8OgOaD0JAwMDH7eUrmrwX87TEGUvHrI8eHbk//9/Nx/uVJCygQjSjhST4gXv90VMk1JiF/KxNtycHOGcDC9Zf6998YkSM6mol/gVQZgLgeArmpiYmRh4UO5oA5/+if3YUKyOV2B8R9KCH6yGEC8Iae4jdw+Q2aNNf+JDclTlaAggg9EOAHJoEGZfv34dcprn48ePExMT4Rp0dHSKi4sh638YGBggHQAnJyfIsZ6tra0HDhywtrZmZ2c/d+7c1q1b////r66uDmn6Q1reDAwM8LY4AwPDuXPnIIZjFYSs0qHEfHgHA2L+hw8fHjwAHfAHcTnkFKMPHz4wMjJ++vTp69evEKfiWsgEcepII0eXAw25GKdWHwA0FUDHncEMDAzUui8MsiuAR5SbUwB0XQloRfgf0R9fhCEHfRIToYyMoAlDBgaGNx9AyxFBKxKVfOGtf1B/gEcaYs6Xby8hDBqRsBu+/jIwUKcig7T+0Zq24kKCqXy8+36z3b1/n0YeIclYyIoggueE/v39+/ev36xssBOd8NohxI80HYBXJWjcihG0rhW5CQ7XgRZ0cHGyGRADsdoFMXO09Q8Jh1FyNATIANQpN8mweIhqgY/x3wYDuC8gB+ZAZFlZWSFr9MXExJYsWRISEvLz588jYABX7+TktHjxYsjifkgHgJmZGbJwCKIG0kCHrBGCiDAwMEAE2dnZyTNfR0cHzSh4rwPicvgGAEZGxujo6KlTp/7//x9+6KeTk1NrayvchFEGAwPDaB9gyCUDyFogau0MzuP/s/IZ28tnn+kQDpDlQFTZFQCZCvj9h42N9zaRA/9wD/799/vne2UuDkFpMeiRoD9/fYSMHkNW/PNxg05JZmBgYIOtCILrpSJDTIo3SPQbFyf1B/7hzU1I65MRdKMZizvLv5cSfENrKuDHly/MAvyQFZ54Ql5DSZ6b4xceBQMoBY8LrG4Ybf1jDZZRwdEQIBJAx3KIVD2qDD7GjxYUkIFziKyGhgYbG+iMBQYGBh8fnxs3biQlJWlra3NycsrLy/v7+2/cuHH37t3w8zQhHQANDQ1OTk64sZC2vpaWFjs74lBniKCuri78JB/izdfU1OTggFTTIEsgRrGwsOjq6mI9Aqi3t7e2tlZJSYmHh8fKymrq1Km7d+9mZSVqPAlkwYjBkOVAI8a7w8SjkG4A5Z5hZWWJkf8Xqwq6gZVy04gxAdINIEYlfjV/fzF/fcnz9Y0wMct+kI36/uP9+RtLj16YAr8Q4MLNFYxfDb+9lefmFPrx88Oxi1Mh6mUkEJuaICLUImNUfsXI/eXiRJSNlJgMGfjHNAHS+oSQDAwMoKkANWllRUVMlQMiApkK4OLjxWP7j6/Yt2xpM76ArwhyAp3+iccMEqTgYUWCHnKVjrb+yQ25UX2jIQAFoxeBQQNilBoNAQpDYHRLAIUBOCDaqTIVwMDA8O37z+kX6NcNoMo8wOfX/GwCj3i4iF3+8emV+KcvT79+f/P9x7sfvz4zMEDbe4yMTNYGOZ++vvz56+PNB9DrCyVF9UUFNagep7BlP9Qc+IeM9BPv1Pefvyx//JZ49XRQiWdFEAcPD/JCoKv/JeBN/6v/JSSEBWPFEQNDBJ2Kq7NEUCMVFYw2/akYmKNGjWQw2gEYybE/6ncqh8BoH4DKAUoX46jVB6DzncEMDAwUdgNI7QBgxgbLD7NvP979/ff7P7gv8P3Hu9uPdvPxSKvLu//8Dbt3ClMbuSKw/b7UWblKSVv2958/g2dXACQ48dwczI1tIRDkYuB4CXYxIWLP/6EkxCCOxEUS3wcbbf3jCsNR8dEQIBWMdgBIDbFR9aMhgC8ERvsA+EJnsMpRqw8AuvTjzcfFt6nTQiUmtCjpA1DeAYAs+ifGnRSqoe7AP3wnK4Wu+vr9x8L7tN3oTKoLsU4FMLOycvFCr56EG0jS8D/Wpj/xrXa4pRQyRlv/FAbgqPbREEAGox0A5NAYZY+GAHVCYLQbQJ1wpK8p1OoGDJWpAEo6AHRr+oNuUoce9EmdbhVaWxbziEmSEt3vP3/effo8eDYHg451+vcP8+ZgLj5eZhaUALz6XyJCiElWQpygf9FCjKB6WigYbfrTIlRHzRzhYHQT8AhPAKPep0kIjO4Mpkmw0thQKu4M9uH7PBR3BhMZwPRs/UP2+1Llhi9cA//g5UtEeh1dGSsLy2C7Mgzr5uBvnz7/+4e49xfiDSOBvwQb93AFkJ4SRCMmiV8WUz1+ETTTRlv/+INrVHY0BMgDozMA5IXbqK7RECAcAqPzAITDaFCqoNZUAJ13BpO6K4DUGYBTJ8+QFF06KoEMDOSPMYlJ8foIfBLg4ybJUlyK4Q1ZuAJqrWCBm/Py3fvBNhXw59fvn7C729EWAikrKrpzgroED/5j3wOAGWLwoKMnY7T1T8/QHrVrRAHyS+cRFUyjnh0NATJCYHQegIxAGwxaqDUVwMXJnmfCrq4NPRefDl6j1iGhWJ36798fkhATI8qaE6xm4hIMk/sWLvmTdq1/BvgZRrhcgE0cbWQaogQ+gTAIzwll42AH7QBmZmZgYPj7+/ffP4iDqmwYsJ8QCvEU/Vv/WMN2tPUPiY5RcjQEaAFGZwBoEaqjZo6GAEoIjE4FoATHEOFQax6AgYHhw6evc6/S1dvEbA4mfgYAsubn0q2V4It+paREDYjxjCCv/NcfoFtjiVEMVzPY9vvCB/jhLiTIGGxTAQwMDPDNwbxCggwMDMLCwuHi0G3BmDMAdGj9Y4Yqmsho059gMhtVMBoCFILRDgCFATiqfTQEiAqB0T4AUcE0+BRRqxswCHcGE9kBgLT+GRgYIB0AMSFNCRE9GkXU4DnoE5cH0dqpuJQN2nNCGRgYuHh5giX4xME9AQYGBkgHQIHx3YP/QmQ3/YkMFlzBBRn+h8+ljLb+R8FoCNABjHYA6BDIo1aMhgAoBEb7AKBQGIKYWn0A+h8Sin9XAMEOALzpT4dIo8XAP7xVismg0EdwA7GaA2/ODsKpgN+/fouJi0VK8mF1OTGC+P1OvAmY5kDCzW7BBmIMGVUzGgKjIUAhGN0DQGEAjmofDQFiQ2B0SwCxITXI1FFrSwDoREsR/jwTdnEpXrp5kexdAXRu/QeJfhMToc79vvDTfuAjyvDQxhSBSxFkMDIwwBF+c/7DNhgMtl0BDAwMrGysL5+/IMazuNTg9zsuXcjiEBMgJLI4AwPDaOsfLUBGuaMhQDsw2gHAGbYGBgaMqODs2bM4VRMn8eXLFyYmJkZGxjdv3jAwMHh6ejIyMs6cOROuu6enB27nzZs34eKjjOERAu6LNo52A4ZiVEoxfqRWN4CVlSVG/t8gPySUnq1/yEGfXJzsVEkYCozvMNexYG1rEm8dZGT6Od/v53y/4Y17IrWzsrC4c/6LVyR83D6RBlKu7M/v34f+c+E3h4wQg4QSfmMxZeG67BdsGG39Y4bPqMhoCNAOjC4Bwh62v3//5uHh+fXrF1yamZn5y5cvHBwcDAwMweXNcHGSGG+fPjq4dA4HD69XVikDA8O2ad0/vnx2iEkVkpKFmMP17NaSJUsYGBg4OTk/f/7MDD69ASI1Sg6nEBhdDjREY5OKy4EG/JBQrEuAyGj683CJvn53A7S1VED5248PxMcsLZb9EG87mkr4ihRIkxS5BczIwPCc7zdEvcQnVgiDVHKQXBn298+fb58+MzAwZBup83BxkuoL4tXDwxNZC1ZBBgaG0UX/yKE0yh4NAfqA0RkA7OF8/fr1X79+sbKy3r59+wEY3L9/H9L6x66BONGPr0BzrwJioGMBf33/9uPLZwZGRj4RxODQwoULly1bxsDAoKOjM9r6Jy5Qh6Sq0XmAIRltDAxUnAoYhIeEktH6Z2Bg+PPn5+1He24/2vP7zw/ioxWy35day36wDvzjdwxkPQ9cDXKLHy4IYeCRgigghhwkV4b9/A6No7WvvhLjbLLVYA00iCBayI+2/skO5FGNoyFACSD/nGZKbB38ei9evMjAwKCtra2iooLm2j9//tw+dfTFvVsfXj7n4OGV09b/+e3rnTPHjTwCFPSMzm5b9/DKBQ0rBy0bJ4jGPfOmfHrzyio4RkJZ7ePrlwwMDPxiEs9uXz+xfjlIwf//mya0uKcVcguATmdjYmK6cuUKAwODvr4+SHYUD98QgPQBRqcChmIMSzF+pMpUACsriw/rZzPVP4tv06kohmwJwDwklLymPyTu/v2Hni7PxAg6bx4iiIeEDfz/ZWCgjq8x1/zgsR0uBWmMwrnIDDxSyMrIYHNzcoRzMrxk/T0gV4b9+/fv72/oVMaLJ08OycvZMeK7DYAMDyJrwRzvh4jAg3e06Y8cXKPs0RCgMxidAcAe4JAOgIqKylMY+A0uNx89emRubn75wM7Xj+7/+fXr89vXVw/tuXf+FLhZDxrI//AK1MSHjPEzMDD8+/vn8zvQcn9+cdCoP2QGgE9U4su7t0zMoMqPiZmZk5efWwCx++3SpUsMDAx6erQ6aA+7h0dFBygEIN2AAbJ81FryQ4BaWwLgO4MH8L4wSlr/oBu1/v+FhCMjER0A6g78w/f7QhwAJ9HGmOHixDDgzVNMxWjrf8i2ZaA2B/uJcGnp6sL9dfzosS/fvsO5cAbZ/oKbwADeMI0Zkv/B4hBlo61/SDiMkqMhMFBgtAOAPeQhHYA1a9bIwMD79+///fsXGxt77tw5YWk5x7j0gJI6l6QcHiHhf3//MjIy8YmI/fv39/PbV+DOgCTE3E9vXv//94+Nk4uTh4+B4f+nN6DuAb+YhJq5jbSaJgMDg4alvWdmMVKpyACxenQGABKAI4Ec7QMM0Vim4nIg0FQA32f67wz+/k6SwtY/aJjjH7QDwMREYAYAst+XlRU09kF5pONf9oPZ+qTQRrTWP6jnAzvthwyTIZuDgyXIP46TVEuFhYXlJMR9+Znj1KFbzhgYGLAuBCJ1ozNWl+AKf4j4aOsfa6CNCo6GAD3BaAcAe2hDhuHhchISEmJiYsuWLTt06JCSkpJ1aJyghDSk0a9mbsvAwMArJMzMwvr57Zt/f/+ysrPDR/Q/vHrOwMAAmRD4+uH9n1+/mJhZeAWFGRgY4MuB4LYwMDC8f//+8ePHozMAyGEyEtijfYChG8vUnQrINKBO45ie4cnNKWJtkGdtkMfCjPMkHzEp3hiVX9Ra8Q8f+Ids2MX0LKSVCRmHxpQlVeQF32/M1j+phmBVT8+pAKv/0NU+kqLCheY6kKkA0EIg3CcC4QpeuF/ImysYbf3DA3CUMRoCAwiGXmVDh8B6/vz5q1eggfzXr1+LiIjAbTx48CADA0N0dPTVn0gHQfwH1TX84H29kBU+vMJi8BH998+fwicEILJ8ImKMTEyIpUGioKVBcCsgHQ85OTkBpEVBcNlRxjAOAUgfYHRLwFCMYkgfgCq7AsA7g5l3fhe8eRV0YMCQCI1PXwk4NUD8o6wkGysrYqEjJf5SYHwHWUoOGYPHYxTB9isevchSVGz9w10ONx80FcDy76UEH613BQjxI2Yb2FhZfPkZHI3Up567efzoMSMcJwKB6ja4Q3EwCKqBxAJE2WjTH0cojgqPhsAAgNEZACyBDlmEIykpidz6Z2BguHHjBuSATiQ9/x9fAy3Zh3QAvn54B7p6k4cHouD///+vHtwBdwBArXxIBwCiErI0iJWdnYsfpVKEdABG1/9AAnAEkpBuwAj0+DDwMqQbQLlHIMuBkrUpN2ngTYAM/CspSlJx2Q/Bdj/E25CmNqTdCREZDCTcPZBmMdxJtJ4KUFZU5OYEnWENt5GBgYGHi7PcxiBOXRZtIRB8XB/Nkch64Ww0NWhcSGRBfD3a+ocH2ihjNAQGAxjtAGCJBUgHQBdpsxREEeREoKlTp354+ZyB4f+X9+9Oblz1+tF9cBMftOj/D/jegPfPn/748vn3r5+X9m3/+uE9aAmQOEgWtuYHtFf442vQmBkf6vA/A8PoBgBISI9ocrQPMHSjn1p9AFChwcedZ8JOz53BVA922u33xWxlYjoe0ujEFCdbhBhLCRoONwTTeaCpAJpdGWbDAF3/g+lCSVHhSGmB26LymFLEiKB5BI0LN2G09Q8PilHGaAgMEjC6BAhLREA6AJjn8BQVFS1btgx0LNDC6UxMzP/+gZb7QxiQcX0RWYXbp49+//xp+/QeUDkIXh0EWvQvBFpHBJ0BADf6P4IPC4LoQnYBZAYA02pkNaPsYR8C7os2jq4FGqKxDOkDUGU5EGgqgL6HhFIrzGl90CeodAWvs4QwIM6GDPlD2NQiIe11iC0QkniTsbqHoCHcnBypatLvPn2m4oogYWFh+PA/so/gfmFjZVF9/RDOhTsSzoBLoTGwKsD0+GjrHy3cRrmjITAYwOgMAJZYgLTCMWcAdHV1Dx8+7OzszMrByc7NLaOh4xiXyS8uISqnyMENWvYjqaKuae3IwcPLwsYuKqtg5hcmKCEtparByMT059fPr59Ad2Tyi4JmAD6BZwAgbLgL/v//P3oJADw0RjjDfdHG0amAoZsGIN0AqrhfTIQ/z4RdXIqXKqbRwRAxKd4g0W9U3++L5nJIQxZZEGtjFFkBFdmYtlPRcKpfGebACj37H3lBDkleIEkxclDYL9gw2vpHDpBR9mgIDB7A+B88Sj14HDQkXBJc3kwjd67trKWRyaPGDtEQGJ0KGKIRB3E2VaYCIEa9evORuveF/f7z9e+/39ycohDzqULS4qgfiMMwx5Uh4lhJkhRTaAJ+uzBlISKQJjXBTsvLd+8pnAoQFhYOFweNT2H1Jk0FR5v+NA3eUcNHQ4BCMDoDQGEAjmofDQHahsDoPABtw5fGplN3KmAwHxIK2e9Lo4F/SHOZ+Lgi2LDGYxR8CyweNchS+O3ClIWI/CfuDgHI5mBhYdDJ0ciWEs+Gn/4J10JqYMI1ksQYbf2TFFyjikdDgP5gdA8A/cN81MbRECAtBCB9gNGpANJCbdColmL8SK15gEF7SChkvy+1DvqEH/MPj0NIoxnOxcqAtGuJUQnRjks98SZAzKE1ycrCEi7O85L1N3lTAcinf0KcSmsPjjb9IeE8So6GwCAHox0A7BE0fflarBKZkcFYxUcFR0OA1iEwujOY1iFMO/Mh8wBU6QYMtp3BtN7vC4kUyLIZCJtUEq2hDzcKsx0MlyLeCjK0EG84skrQVAAf777fbHfvg86dQ5bCwwaf/vkPLQTwqKdQipGBwW7BBgoNGdU+GgKjIUAfMLoHgJxwHt0DQE6ojeqhRgiMzgNQIxQHzAyq9AEgrv/9+w+F94VRvgcANvBPtYEkBUbQVSoQD46SWEOApF0B8YrikPN/SOqokKQY2ZGjY//IoTHKHg2BQQ5G9wAM8ggadd5oCKCEAGQ5EIrQKGfohIAU40fIbADlTgZNBfB9jlX9Q7lR5JkQo/IrRu4vFW/4IqP1DxnbJs/9pOqC2wVnkGoCVdSDpgLUpJUVFQmaBj/9k1QHY86N4LIL2eTR1j+uUBoVHw2BwQmoNnIzOL036qrREBh+IQDpA4xOBQzdmKXirgAxEf5M7p/TL9C1GwBb9oNyizkl0UFG0x9iHa6mKqRhiksWopcB4yYBuDhWBtw0OAOrMjoIgq4MY/n3XlZ4+eO3eKyDnP5J9nA+xGT8IQkJitGmPySsRsnREBhaYHQGYBSMhsCQDAFIN2BIOn3U0QwM1JoHYGBgAO8Mpt+dwQHiH8Mlf9LotB96Jg1I05bONhJvKUGVgrw8qWrSBhg31kN8JCwsLCEkCDn4HyJCNglp5WPVzsjAMNr6xxoyo4KjITD4wWgHYPDH0agLR0MAewiM9gGwh8sQEaX6cqBkbdr6HHLQp5KiJLWW/SgyvlMEL/pHbuwis8n2D+SQTfwHesLVkG0LqRohNhKpC0+zG24CKwuL1d9P8YqgyyXhghCG1f9vxJgAUYyLJDh7MLrlF1fQjYqPhsDgB6MdgMEfR6MuHA0BnCEw2gfAGTRDRIKKUwECfNx5JrSaCoDs96XiwL8i4zt4g5iSpiqeDgNWY/GoHwxJhqDzMBVwc3JkackHS/Ahux/z9E9kWVxstC4T1gCE6x0d+4cHxShjNASGIhjdAzAUY23UzaMhgAgBSB9gdEsAIkSGGgvSB6DKAUGgncGsn81U/1DxzmDYiv+/DAzUqS8gK/5xNS5xieOKVVzqIaPXyLJwEQgDYiCyAojIwJIE3YNLAWhzMB/vurc/3r59Czn9kwyPYBqOHFZwA0eb/vCgGGWMhsDQBaMzAEM37kZdPhoCiBCAdAMQ/FHWUAsBSDeAKq4G7Qw2YBGX4qXcNDEp3iDRb1Qc+Ie0/jGHsUl1KnysGpdRmG1ZuAicgWkpLtMwVQ5CEciVYcESfDYM3yBbnEl1JDxU8Wgcbf3jCZxRqdEQGEJgtAMwhCJr1KmjIYAvBEb7APhCZyjIUbEPwMXJHiP/L1z+OyX+hhz0ycXJTokhyHohrX+SdqbiapKStHyI+GY9nr4BskdIZRPvAFJNxlQvLiTIw8mBGci4QhLZBHiowgXRAmS09Q8PmVHGaAgMdUCdKd2hHgqj7h8NgeERApA+wOhyoKEbm5A+AFWWAzEwMMhIiWQKknNIKGzZD/pBn7Hz55w7dy47O/vUqVO4AllSUrKtrS0yMnJFWiZcDbzpDxchkoHWACVSF7IyyCIWCIksTi02pHGPx520sxqXF7A6Bqsgpgm4XDva9McMq1GR0RAY0mB0BmBIR9+o40dDAEsIQLoBWCRGhYZICEC6AVRxLBmHhOLa72taXsLGxmZqaoqn9c/AwPD8+fPExEROTs4bUtDTachu/WMNAcWmSX3v/zst3ixc0gJRcMfW13nJFoeFGyEo4eBF0bI2iBS8OUtk8xeiiySSoMkEFZBkHa0VQ1wL6dVASIbRsz5pHeij5o+GwECA0RmAgQj1UTtHQ4DGIeC+aOPoPACNw5i2xkP6AFSZCiB+ZzBs4B/Lfl//iX2CgqBz5RkYGJiZmZ2cnPT19VlZWZFD4f///y9evFi2bNmvX7/+///f0dExZcoUndO7kdUgs+Gtc2RB/OwPgYkKCgr//4OaqRwcoIUu28TVu1JSkHU9ePBAR0dn9erVopsXI4vTjg1yDTbTyfAgNmMGQAziIwg5OvY/ABEwauVoCNAeMEJKUtpbNPRsMDAwuHjxIrK7z5w5Y2xszMDAEFzejCxOPPvPr1+bJrYy/P/vk1vBxsl1dPXil/dvG7r5KhqYQgwJ1FVcvHjxqVOnhIWFk5OTy8vLmZhGZ2kgYTNKkhwCo30AkoNs8GmgSh8A4q3fv//s/C548+oLKPfP17//fnNzikK4kIF/XGf8r377auvWrQwMDFlZWWZfCGwtEAwO8Pf3Z2BgUFNTm2WpCTGfKqT3mj1fv35lYGAwMTHZvXv3////JSQkfv36xcDA4O3tXVRUNGvWrJUrVzIwMKiqqs620qKKpWiG0KFZDxl6h7S/0WynIpcYj4y2/qkY4KNGjYbAoAKjjUvs0fH79+/r168jyzEzM2trU3rRzsfXLxj+/+fg4WXj5GJgYABxGRj4xSRAG7b+/z+/c1NsbOyuXbs+ffp09+7dqqqq/v5+ZDeMskdDgKQQcF+0cXQ5EEkhNggVQ6YCqOIw0FQA3+dY1T+YpkH2++Jq/TMwMOzfvx+iq6SkBMLAQzo4OEBkHz58CGFQi/z2DXS+DQMDw5EjRy4WJMTGxkJa/woKCps2bWJeNGnChAkQux48eABhUJeENM2payamaZibcTHVUC6Cv4Nhv2DDaOt/FIyGwDAGox0A7JF7/fr1X79+sbKy3r59+wEY3L9/HzLjjF0DcaIfX4HG3gTALf5f37/9+PKZgZGRTwS0UvbBxTP3L56RlJQ8derUu3fvfH19GRgYVqxYQZzBo6pGQwBnCIz2AXAGzRCRoOKdwQwMDJBDQuFeh9zvS/CgTzMzM4iWGTNmQBi4SAXGd5s2bYLI6urqUrHFbDZ9OXzKWlVVNe34dcikBAMDw6pVqw4nBam2TbOxsYFYralJYOaBoMOwKqBP0xziBWJIrI4kRiMuNRADR5v+uMJnVHw0BIYNGN0DgD0qIYt/tLW1VVRU0FT8+fPn9qmjL+7d+vDyOQcPr5y2/s9vX++cOW7kEaCgZ3R227qHVy5oWDlo2ThBNO6ZN+XTm1dWwTESymofX79kAA/5P7t9/cT65SAF//9vmtDinlb44PI5BgaGjo4OU1PQcqCAgIDNmzd//05gqh1kwigeDQFCITC6JYBQCA0BeSnGj9RaDgTeGcz8wcj6/YZNypI/WVnRT/vBDI5Zs2apqakxMDB0dXXx8/OnpKTo6uqysKDUIL9//758+XLBvPUfFm6EmNDe3s6wZAqETTnJyck5ZcqUnJwcBgaGx48fww2sra01NTU9xMBgZGT08iWojGVgYJg+ffrvWV1wNZiM/wwM+NfA4B8gxzSQPBH8biBoJtUd+X90yy/BQB9VMBoCwwKgFN/DwkfU8QSkA6CiovL06VOIiWJiYqysrI8ePQoMDLx8DtRYZ2Rk+vz29dVDe5iYmcHNetBA/odXoOoHMsbPwMDw7++fz+/egGTFQet8IDMAfKISX969ZWJm+ff3DxMzMzsXD7eAgJatM8N/htDQUIh1u3eDds6Zm5tDuKPkaAhQGAKjfQAKA3AwaIcsB6JKN4CVlUVKSuwPHzeeZT/IXj7W0r5x48bAwMB///59/Pixt7cXWRaTzcTENHv2bNYlUwi2UIlvAR9MCNBhYDh79mxpaemRI0eYmZm1tLTa29vZl049lBDwn4EBshxIR0dn7dq1z9vKIJdhQRwAsQUyvA0RAS28xHQ33UXgjkF2LaYrIO7HFCdSBOJxZC/jMnB07J/IIB1VNhoCQx2MdgCwxyCkA7AGDCAqXr58KSIiEhsbe+7cOWFpOT1nTwFxyc9v35zYsPzLu7eMjEx8ImL//v39/PYVqLkvJgnR9enN6////rFxcnHy8DEw/P/0BtQ94BeTkNXU/fjq+ePrlzUs7TWsQOtlxRVAUw2cnJwMDAwLFy5cuXIlGxtbRUUFxJxRcjQEKA8ByFqg0Z3BlIfkwJpAxakAkjzyfu2GeTHxbB6umZmZnz59wqWXjY2tp6dH98wehkPQhUC4VELEkVvAEBH85OdJTXWyvAyRnlBlS6dCGQwM7969O5gQADqKFNz6h4sjN3xJtQ7ZEAgbV9MZIks2CW+jYzWBQmdjakcWgfhotOmPNeRHBUdDYLiC0Q4A9pi9dOkSsoSEhISYmNiSJUsOHTqkpKSk4xfFwsbGwMDAJyKmZm57bvsGXiFhZhbWj69f/vv7l5WdnVsAOqX+4dVzBgYGyITA1w/v//z6xcTMwisoDN4BDO0MIFv0////1tbWuro6JiamRYsWqaqqIsuOskdDgPIQGJ0KoDwMB9yEgeoDMDAw/Nqxe6J/EHIIYDnm/8weZAVY2ZBGJ0QKmQ0RQSbfByQwMDCIiIj8ndPzLz7/48ePyLLI7A0bNjCAFTMwMLi4uJzNiUFu5iJ3A/DbiGwmJhvNTEwF5InQwlgivTm67Ie8KBvVNRoCQxqMdgCwRN/z589fvQIN5L9+/VpERASu4uDBgwwMDNHR0Vd/Ip1+DT6RGnKSD2SFD6+wGHhxKUjf++egFUT84AkBiCyfiBgjExNiaZAoaGkQSCkDw5/fv0JDQ9euXSsgILBq1SpXV1eI+Cg5GgLUDYHRPgB1w3NATKPiciCy3Y+l6Q82S7auDzJFoK6ufjozkmDTFr+CwMBABgYGX1/fYiGmvLy8K1eugC0hQLx9+xaPCvw24tFIiRRkjJ9aVhPTuCfSrtGxf0qidVTvaAgMUTDaAcAScZD1P5KSksitfwYGhhs3bjAwMIBW6fyEn6P3//E10FwBpAPw9cM7BgYGDh4eiKH///9/9eAOeEUQqJUP6QBAVEKWBrGys3PxQ+cKvn54f3z9sk+vXxoZGa1Zs0ZRURFiyCg5GgK0CIHR5UC0CFX6mzmAUwG4Wv+MDAypqan79u1jYGC4du0arjYoLnFcYcgDKle//fkDL3txKYSKXy5KgrLoTuFq6JPqZfwOJ9U0rB2G0aY//kAelR0NgWEMRjsAWCIX0gHQ1dVFk1NRUTly5MjUqVPVXfwExCW+vH9/9dDu14/ug5v4oEX/f8D30bx//vTHl8/MbGzXDu/9+uE9aAmQOEgWdgQQaK8w5AYAPtjw/6uH905tXPnrx/fU1NRJkyZRft4omstHuaMhgDUERqcCsAbL0BKk/1QArqY/PNzgzXQuLtCFJ3Bx8hgH4kF3ijEwgG4AmGGuzmCujmYOrgY3mjJ6ckltnSO7DWtLHVkBeWxMJ422/skLyVFdoyEwPMDoPQBY4hHSAdDT00OTKyoqYmNje/r06b6F0zf0NO2aPeHVgztMTJAjgEBj/CKyCgwMDN8/f9o+vWfzxLa7Z08wMDCAFv0LgdYRQWcAwI3+j+DDgiCzAb9//Ty6atGvH6ATP2fPns3JyckIBmVloFMs0Nwwyh0NAeqGAGQqgLpmjppG/xCAdAPoYC/B1v9/BoZmRcED8f4H4v0f1OfDnQRppsO55DGs56zB1PifgQG5dWszd+0aXllMZbhEqOIwZMORHYMsTiQbcj4pkYrJVjba+ic76EY1jobA8ACjMwBY4hGyAxhzBkBXV/fw4cNVVVWHjh5jYWUVlpbTsnU5vWU1CysbBzdo2Y+kirqmteP9i2f+/v4tIC6paGB6+9RRbgFBRiamP79+fv30ATRXIAqaAfj0GnQjGD+E/erF////MN2hr6+PKTgqMhoCVA+B0XkAqgfpgBhIh+VAkNa//YINX758+fHjB/xaLoh/GRkZubi4TmdFQbhoJIXNYohprKys/v7+U6ZMuVsDug0AIggnTaYuLSkpcQDfThACnTeAS+JkUMVhOE0nWgJ54J/WThpt/RMdLaMKR0Ng2AJGtBJ82HqUqh4LLm+mqnkIw9Z21iI4o6zREKBvCIyeEDo8AJEXBbC6uz1aslxaHDQkQdDjCozvbOetW7x4cXp6+s+fP/GrZ2dn37x5s6urK+RQTvyKiZGFN44dYFeMGRgYLF68+G1PDUS7Xv/8oqKiBQsWQLgMDAywhUNwgVEGKARGm/6gUBjFoyEwChgYRpcAjaaC0RAYDQFoCIwuB4IGxBCnqL4cSIHxnfWcNZqamgkJCQRb/wwMDD9//nRzcyN+DpMRfm4aoZCH3EbMwMBw4cIFXV1d9xU7uHNq6h98EBISgrf+RUVFb926RcikAZPHteIIlzgVHTra+qdiYI4aNRoCQx2MLgEa6jE46v7REKBmCIwuB6JmaA6cWVRcDgRZ9tPS0gJpVbOzsx86dOj7tDY0z8EH6Z97RMTExPz9+/fSpUs/u7vZl01DU4nJxbPiBdIshiuYZalpePr0hAkTmpqa/v79+/PnT1NTU7iBMTExvb2918vSnrWWwgUHhAEPDUzb4X5Bk4KIY2pECwE0XXi4aEaNtv7xhNWo1GgIjEAw2gHAHum4FvmMLtHBHl6josMoBEb7AMMjMiHzAEQuB8LqZUjTHyI1c+ZMCOPSpUvPMe7ZRb5jS3LHip07d7q4uDAwMNTX13eoE7XECGI4Mglvv0JaxnCp83lxBZMWvXjxYtasWX///oWL+/n5tba2Xi9Lg4sMFAPSZCfedrhPkYMRWTtaCCBLQdjIJkBE0MjR1j9agIxyR0NgFIx2ALCngdGGPvZwGRUdGSEAWQs0uiVgGMQ22VMBCoygW03gIfALfMYxAwMDOzs7XBAXA75MCHx4Py5VOMUhDWhIqxdCwpUKl7T4+vo+4OeHi6ipqd29e/fv37+bwEBRUXHFihWmpqaHEkHXh8GV0ZqBx814rIY03NH8iKYevyxEMUQNxDSICLwvMdr0hwfIKGM0BEZDABmM7gFADo1R9mgIjIYAIgQg3QAEf5Q1NENAivFj0pLFJzhBhxHj98Gv379PcoocZmVCa/0zMDBAruNlYGBwdnbW65+PxxzWtDK44rq6OjwqcUmhHesJV2Y5a5Wuru6DBw8gIh4eHn/+/Jllqbk3xsfNzQ0ieP/+fXNzcyamAajaIK1wiDPwk5DeAryNjl8xHlm4ORA1mA4Ybf1DQmaUHA2B0RDABKMzAJhhMioyGgKjIQANgdHlQNCAGOLUpgjPa8riM9edT1SUYGNlxeqbX79/z7//PJrhgqqSHANYDfKIcldX16pVqz5//nz37l0hISGsJkAFYQf12Nvb/5vbCxWEUZA2K2ZTFSKPX/b9e9C9ikxMTDNmzEhKSjqSHHwkORiisUqSc+3nz/n5+fPmzYOI0JnE4yNMKUwR8lyL1Rx4GI62/skL1VFdoyEwQsAADJOMkJAd9eZoCAyPEHBftHF0KmCoRyUbK6vB1WOpAj9LtxzCOhVwklNk/v3n2QLfddSV2cGtfzQvXy5Kev78eXR0NJo4Lu68efMaFQQYMI73wTW6DzcHa6MWIvv3798NGzbsi/VVP7oV3vSHSDEwMJzNiYn7+/bXr19paWmMjJBmMEgS7YghhARIkuYYj3doZPd/Bga7BRtGW/80Ct5RY0dDYNiA0XsAyIlKXFuEyTELVc/o3gPU8BjlDaIQGN0SMIgig1yn/Pr9+5qB/eFDZ4KFOCH3AIgKCZ3nk/z1513Y9+eQpj/ywD9WewwnLXrw4MGnT5/QZJmZmfn5+dXV1SGtc/zm4JdFM5l4rv2CDdevX586dWrolyfIuiDtflzNcbhj4AxkvbjYJCnGZQip4gQtHW36kxqko+pHQ2BkgtElQCMz3kd9PRoCJIfA6HIgkoNs8GmATAWI/Hk98xa7DvsBqZ8/wAP/92TEReHLfvC7Wqq6e/HixQ8ePPjy5QuaSmZmZkFBQV1d3YBZq06khSHLYjZbIW1xTHFkXcSzbeetu3Lliqur6yvw2L+oqGiolxWydoh1yCLIbIgsqY6B6EI2h1psuEvgDLjJ+C0dbf3DA2qUMRoCoyGAH4x2APCHz6jsaAiMhgAiBEb7AIiwGMosGXHREp7voXPnJicnZz+9Dmr9w7yDp33Jklrq6en5eaEaTC0+GnQOz6FDJzMiIIpwGYtLHKKLIGk+Y0VjY+OiRYueMTMjKxYVFYVzMdvQcCk0BoWOQTONEi7cJXAGMaaNtv6JCaVRNaMhMBoCEDDaARgFoyEwGgIkhABkP8DociASgmxQKuXl5ly8eDHj0unIrX88Lv2fUGBjYwNRwMzMLC8vz490FidE/N+/f+/evXv8+DEDA8Pp06c1NTXv3buH9ThO4hvlEJPRSM6sqgkTJmzYsOH7Qk40KT09vaKiopCQkDPZ0O0KJLWh0UwbKtzRpv9QialRd46GwOABox2AwRMXoy4ZDYEhEwKjUwFDJqqo5NCysjKISdOmTdM6uRPCxkYq2M1/KCYm9ubNmwcPHixdulQWmyK0Rjkx/QHjKUt27drV3Nx84cIFBthBQ3CzRUVFN2/e/GN6O0hk//oz+9eDGNTGxLgTzU4ytEBMIF7jaOsfEmKj5GgIjIYASWD0FCCSgmtU8WgIjIYANAQgUwFQzig13EPg4sWLEC8mJiZCGLjIQ4mBixYtgsjeu3cPwiCb1Ouff0jZ2GXpVl5e3uDgYFDrH2wWExOTiIiIhoYGmMcgJycHbf1D+DQgIduISTUYratDqnZM9WjOGG39YwbRqMhoCIyGADFgtANATCiNqhkNgdEQwBICo30ALIEyTIXExMQgPnv27BmEASHR2qMMDAx289d3d3dDZNXV1SEM/CSeVrKQkFBdXd2fP38gJnBzc/f29r558+b3799rvK09PT0h4pyc6GuBIOJUJHEdYIp2zCiFNsLDE1eYIIuPtv4pDO1R7aMhMJLB6BKgkRz7o34fDQFKQwDSBxjdEkBpOA56/YmJic3NzQwMDMrKyurq6mVlZVpaWmiufvny5aFDhxxgt/AKCwuHh4cf3L4cTRkmF7LcBUJiyiKL/P//f/PmzWJiYuHh4QwMDO/evYPIcnBwQBjIJDEGIqsnj43cIifPBMhtCRBzICRBc0ab/gSDaFTBaAiMhgB+MNoBwBk+BgYGFy9eXLBgQXx8PE5FtJTo6ekpLS2F2HDjxg0ix9Ig6kfJ0RCgZwiMbgmgZ2gPiF3Ojy7dCA1dvXo1AwPDzZs3k5OT8TuDn5//zp07BxMC8CuDtH0harC2ff/9+7d27drp06cfOHDg379/3759OwAGsbGxzMzMXFxcEL1oMwCQpj9WAyHq6UBCxvKJdAORyiDOHm39Q8JhlBwNgdEQoASMXgSGPfR+//7Nw8Pz69evc+fOGRoaoilaNz0LTYRa3KDMaXCjYmNjlyxZwsDAwMnJ+fnzZ2bUc+7gykYZoyEwSEJgdB5gkEQEkc547RZK/ClAkCY1AwPDOn75yZMnMzAw/P8ParVC7txFZsvJye3atet5G3TTMB7HQMyEkHiUwaXkGybk5+fv37//8+fPcEEIg42NrbOzMyIiQkJCgpheB0QXjUiIj0jqABDpEkbwLb9EKh5VNhoCoyEwGgJ4wGgHAHvgXLp0SV9fn4WF5cuXL+zs7OiK9kPKdnRhyvk/rX58/PgRstz2379/K1eujIqKMjU1PXXqFOWGj5owGgJ0CIHRbgAdApkqVpDUAaCKjVQ05KSWVX19/Y8fPzDNTEhImDFjxol00BohTFkiRSBFPKiLQ6QGipVBug14jBkd+McTOKNSoyEwGgKkgtFNwNhDDHLkhYaGBlrr/8+fPz09PU7FDIJ+DFqJDG1LGQqnMjA6MczdxnDjEYjB6MRw6BLUzPefGYT9QYKTwUfS/fnLMGEtg0sJSFAugiG2neHBC6jKzAkgZRHNDMLCwgsXLoSIMjExXblyhYGBQV9fHyIySo6GwOAPAciugMHvzlEXkhECkGYxmsbvERlh24+7r9jhvGSL+4odYduP/43LQ1NDda75tWM7wt2/f/9+4sQJFRUVZPMXLFjw5s0buAhWN8Nl8TDgrX+yTcBjOFwKbjjcOrgUMmO09Y8cGqPs0RAYDQHKwegeAOxhCOkAoLW8Hz16FBgYeO7cOQYGBmYmhg9fGKrnMrCxgkzQV2ZQl2UQ4AEJ3njEYKcHEmxdyvDuM4OBCkOWP8OdpwwBtQxXH4DEmZhA4kt2M+w+w3B2JoO0CMPFOyDxlfsZWFl/mZqagjhgfOkSqDOhpwc2DiwySoyGwOAPgdEtAYM/jshwocnUpbq6uo8ePfr79y8jI6OwsPChQ4fS0tKOwI7iYWBg+Pv376tXr5ydnfn5+e/fv3+pEHFmKMERbjKcBLlpeI61NoO1Nm9e3cyZM2fPnv3//39RUVFwmQoyEn/DGqQCG0bWhcyGq8XqHeIF4eZgNRwuC2GMtv4h4TBKjobAaAhQEYzOAGAPTMwOwL9//2JjY8+dO2dlZXV6OsPPXQyX5zKoyTD8+g3qDGgrMDAyMpiBz6S+CboHEzS6P2U9SHBaAcOPXwyBdQzXHjKURTDcWsTwaxeItNVlePmeYc5Whv//GS7fBznD1xJ0qIWDgwOIA8aYzgALjxKjITDYQ2B0HmCwxxDYffDhZzAPH/HaJ4aXl/f+/ft///6FbAB48+aNlpbWkSNHINoOHDjw8OHDHTt2QPbjfvz4UU1NzWbuWogsGkndozMhhn+e1BT18+X+OL9Pnz4dTwuDCFKLxAworA134gWJd9ho638UjIbAaAjQAozOAGAPVcjQO/IMwLJlyw4dOqSkpLRz506e07wMDAw6igzlkQzJ3aCxf07wNgFzTYZdZxggHYCqOQw/fzOkeDNYaoFW/ly5D5orWHWAYdUBqI2fv4EY778w3HvO8OU7qBfRm8nAw8MDEgXj9+/fP34M6kyMzgCAw2OUGGIhAOkDjG4JGGLRhsO5eXl5kJ2+u3btMjAwOH78uL+/P0QtPz//mzdvjqaE3Gdg4GBg+PLli4WFxenTp9+8efPo0SOIGlCfgYEBPkCOtaEMV0kh41xuLIUmYGqHOxjuBUw1VBcZbfpTPUhHDRwNgdEQgIPRGQB4UCAYz58/f/XqFdri+4MHDzIwMERHRyO30f+BqwV9ZaheC/C52DcfM5y5ybBiP4MQL0NHKkjqwAUQ+es3aFrgwQso+fYTSFBbgeHiXRDDUJVBVQbEgGNIJ0ROTk5AQAAuOMoYDYGhFQKQbsDQcvPIcS24AEPxLuZQN0T67du3EAbb0qnXSlP5182DX8JVXV19NCUEIsvAwHA4KQh+RQDa2WWY1sF1YbUXqyBcC/0Zo61/+of5qI2jITAaAjQCox0ALAELWXgjDgZw6Rs3bkBO5ISL/P/PsHQPiAfvAJhrgrj3nzMUTgMt7OlMZxDmA4n8+wcii8MY/u9DR6ne0A6AnhJIDTKGdACQZyGQZUfZoyEwVEJgtA8wVGIKMk6P1bXa2toQcc9Vu+7Zg8b+N23a9BMMiouLkZf0MCYVLV68GKJYREQEwiBIYu0bYBUkaBTtFJDnHjK6MaNj/7SLxFGTR0NgNAQgYLQDAAkHFBLSAVBVVX0KAz9//oQcNDF16tRz5879/w/a1BvexAAZ2jeAHUEhzMegLMXw9x/DkcsM5poMydBb6hlM1EHmz9kKEv//H7QV2CyLgdWVIawRJH7pHojE7ABAnDHaAQCFzige4iEw2gcYihGI3HI9cuSIkJAQAwPD9+/fP30CTV8eTQk5kRZ2PC3scFIQpOfAk1vrtny7vb39P/CYx+LFi09nRSEbQsVAQDMWjUuMRWRoIcZYTDWkdhtGW/+YYTgqMhoCoyFAdTC6BwBLkEJa3keOHJGRgS7KuXjxYlFR0bJly54+fWpsbMzKwvD7DwMfFwOEAZ8BYGBgsNBiuPsMtKB/egFoBzDE9MIQhjnbGB6/YrDNh2phYGAw1WCYVgCShywBQjYEJMrAAJkBGN0AAAmNUXKohwCkDzC6JWAIxSO85crIwHA6K2qdr61YefuuXbv09PQYz+//z8DwH7asH6Ly06dPv379Al3uy8h44MCB//P6aOdZuNVkWwFxM9naqaIRbU3RaNOfKqE6ashoCIyGADFgdAYASyhBWt5wCTY2Nk1NTV1d3cOHDzs7OwsKCooLMoQ5gE7wNFBhcDRkkACNi0GVv/kIYmT5MxiqghgQzMvFcHo6Q4IHg7w4AxsLg74yQ08Gw6EJDCL8DJ+/gbYEMDAw6KIuAfr379/oJQCQ0Bslh1MIQLoBw8lHI8Ev8Lbyq85Kg/P7mRdOhIvAGQwMDCoqKrt27Xr69On+OD946x9ZARlh5bBwo8PCjX7r9z9xDbWctQqXCf8ZGL6Fp0MUOyzciEsZ8eK0mB9AXigFcQly4Iy2/iFhMkqOhsBoCNAHjN4ETFY447gJeP0RhqA6BnFBhpuLGPi5yTLZEblGIMuEUU2jITDoQ2B0HmAwRBF1bwJGG8zG5UFIw5r4Yg6tNR8YGDhv3ryLBQmY5r/2iQkNDYWIH4gH7VKAsEklSXUhpvlEBgWyxtHWP3JojLJHQ2A0BOgARmcAqBbIX38w5E8BmdaTQW7rH6R7FI+GwPAPAfdFG0enAoZTNDss3Gi/cONyDgmCnoIsHCKoDJeC9evXCwoK+q7bx5Zejqbm69evaCLkcSl0IWQ7BPFW2y/YMNr6Jz64RlWOhsBoCFALjHYAqBWSDE2LQKv87fQYYlypZuaoQaMhMIxDYLQPMOQiF3MRC7IXODg4kLlUZLu6uq5fv56fnx9i5ufPn62srNxX7FjMImIxcyVEkFodAIhp9CFHm/70CedRW0ZDYDQEMMFoBwAzTMAilzoZsCKwJFaiMw10xOfBCVglRwVHQ2A0BLCEwGgfAEugDG4hzNU71nPWQJzMzg6+EBHCoSrJzc0tuGHBxgCHmzdvwi8g+/nz59y5czk4OEquPuXMqqJPBwCyQIgqnhtt/VMlGEcNGQ2B0RAgD4yeAoQj3PTQ55dxqBsVHg2B0RCgKATcF20c3RJAUQhSppnggnVIkxfS7oeQaBb+/PkTIoKnA4DVFqyCEKPQSLDJPxgYGJ63lRUKMBTG+5/WsWluboYcSHrmzBlzc3M0LRAu8VZA1BMksYYAQV2Yzhht/RMMtFEFoyEwGgI0BaMdAJoG76jhoyEwGgKEQwAyDzDaDSAcUjRQgb9FC2n947eWiYmpsRF0p4mjo+O/uZcwFeMyBL/VyOaAFxeBOgBwQdMrRzYFOio0TgwODj579ixcHPm6Rkx7MRviyBqR2XCVcAayLCXs0aY/JaE3qnc0BEZDgFpgdAkQtUJy1JzREBgNAYpCANINoMiIUc3UDgHIjlisLXX4foBTmZH2987Z3zv3b24vVvshhiBLwfUiCyKz4W13ITAQFBSEiyAre1Cf36sj8+/fv7KyMvAsAUhSVFQURIGvKUBzOeT2AIgsfhKuEc7Arx6/LNyQ0dY//oAalR0NgdEQoBsYPQaUrKDGcQwoWWahaho9BhQ1PEZ5Iy0ERucB6BbjFB4DSsnQOC69yK18eKMZdLMYOFCQRcACQ4wYbf0PsQgbde5oCAxrMDoDMKyjd9RzoyEw1EJgdB5gkMcYvI1OSXMcl16IOOaMAabIwIYSPBCId8Zo65/4sBpVORoCoyFABzC6B4AOgTxqxWgIjIYACSEA6QOMTgWQEGRUUoprYB5iPBmtXohGkkhIH4AkLQOlGDO4IEGE5oXRpv9ARdCovaMhMBoCeMDoDACewBmVGg2B0RAYsBCAdAMGzPoRaTFayxUtDCDD8PjVwJfroOkdclxIUx6XsyGBACGR1UCCCCIC2ecw2vqHhMYoORoCoyEw2MBoB2Cwxcioe0ZDYDQEoCEw2geABsSQojCbxUPK+eQ7Fq3P8J+BwW7BBvKNG9U5GgKjITAaArQEo0uAaBm6o2aPhsBoCFAWApA+wOhyIMpCEZ9uzHUs+FQPZTmITyEkQX+Q0Y1B1jI68E8whEcVjIbAaAgMLBidARjY8B+1fTQERkOAcAhAugGE1Y2qID0EkJutpOsG6UAb+QYJDT4MdyQZ/oXrJdJbo61/IgNqVNloCIyGwACC0Q7AAAb+qNWjITAaAsSGwGgfgNiQoqU6yLp2ZBtIbRwj66UKmxgHQEb9yWj6Q1xIvEZGBobR1j8k0EbJ0RAYDYFBDkY7AKNgNARGQ2BohMBoH2AwxBNaaxh52yv9dwAT2fqnW7iNLvqnW1CPWjQaAqMhQCEY3QNAYQCOah8NgdEQoF8IQPoAo1sCaB3ikCFzTFvQWv9kKMDUQokIQfcwgO8DpsQKIvWODvwTGVCjykZDYDQEBgkYnQHAGREGBgaMjIwLFy7EqYLGEkuWLHF3dxcUFFRRUWlvb//37x+NLRw1fjQEhkYIQLoBQ8OtQ9OVxDSsB4nPqDIJgLm0iSTfjbb+SQquUcWjITAaAoMBjM4AYI+F379/X79+nYGBQU9PD1NF8UVadZx6HUG2/fv3LyMjY/bs2QwMDExMTB8+fKiqqmJjYysuLgZJj+LREBjxIeC+aOPoPMBApQJc8wN0cA+m1cT0VdDUQPoMyILIbFJ9Mdr6JzXERtWPhsBoCAwGQKuG7GDwGyVuuH79+q9fv1hYWLS0tCgxh1S9P3/+fPXq1axZs2bPni0pKXnq1Kl37975+voyMDCsWLGCVNNG1Y+GwDAOgdF5ANpFLtYRcUi7maRFNWjmwE0g2+WUtNSJsZRUF462/okJ1VE1oyEwGgKDEIzOAGCPlIsXLzIwMGhoaLCzsyOr+PPnz4QJE1bP+v/qyX9uPgZNE8bvXxjOHfzvFs4opcS4oB20Sicsh0lGGaTpxzeGea3/fnxjcAxiNLRl/PeP4cLh//euMbx68p+VjUFGhdHak5FPCKRy7+r/F4/9VzdknFkjXF9fv3r1agYGho6ODlNTUwYGhoCAgM2bN3///h2kdBSPhsBoCMBCANIHGJ0KgIUHmTSk1YvctkZmww39Dz7i5v79+5mZmTt37oSLozF4eHgyMzMrKiqEhIQOJgQgy2I1FlkBVdiYswTw3ckQB0BIrHZBpLCagKZ+tOmPFiCj3NEQGA2BoQVGOwDY4wvSAdDX10eWfvToUWBg4Llz50DVCRPDz5cMR7f+Z2YGKRGVZhQSZWDnZPj5neHdq/8yyqAq9eSe/z++MYhKMxhYM354w7Bx7r+3L0CKGRkZfnxjuH7m/8Ob/2OKmXj4GV49A9U7N8//Z2X9ZWpqqq+v////fzs7O5BqBobdu3czMDCYm5tDuKPkaAiMhgByCIwuB0IODdqxtXvmMDMzE9yM9OXLl24wUFBQuHPnzpHkYNo5CWtLHVSYYliJVRBDFVSAoOLR1j80pEap0RAYDYEhC0Y7ANijDrMD8O/fv9jY2HPnzllZWSlanBCTZnj7kmHz/H/vXzMwMjEISzAwMDJIyDE+vPn//SuQmZ/egcb7GRkZXEKY/vxh2DTv37uXDKZOjDoWjALCDB/eMuxa8e/pPYbLJ/5bujG+eQ7SoqTNePHEOx4eHhAHhhcuXLhy5Uo2NraKigqY2Cg9GgKjIYASAqN9AJTgIJGDv70Lb2RLSUlBWv+MjIyenp4ODg5cXFxoVr19+3bevHkPHz5kYGB48OCBuLj4Oh8bXObDTUYzhHguLpMJmoBsNTKboEYG8DQIMcpG1YyGwGgIjIbAYAajHQDssXPp0iUGBgbkGYBly5YdOnRISUlp586d9XP4GRgYRCQZTJ0Zd634LyTGwMIKMkdSnuHhTQZIB+DI1v9//zDoWjBKKoDWCL15zsDMzHDzwv+bF6B11u+fIC0/v4E6A79/gnoR9v6MyK3/////t7a21tXVMTExLVq0SFVVFaRhFI+GwGgIYAuB0eVA2EKFCmLQAouB4ffv3wwMDD4+PiXC4HnPq0exmm7vYGA1+7aAgMC3b9/evn0L146pGI8UpmIqioDmZ4kzDq1vMDrwT1ywjaoaDYHREBgCYHQTMJZIev78+atXoGF85A7AwYMHGRgYoqOjUdvoIO2iUtAKRVIBxH336v/Lxww3z//n4GKw9QFJPb4DEv/7l+HTOwT6/hUkKCzB8Bq8/kdMmkFQFCQCwV+/fg0NDa2treXn59++fXt4eDhEfJQcDYHREMATApBuAB4Fo1IUhkBzczPcBFDpBucgMY6lhkImBxgZcSlBUk0BE22TMZEmoV1ehtYPQXYxstRo65/I4B1VNhoCoyEwJMDoDACWaIKs/xEHA7j0jRs3GBgYODk54SIM/xlunAXxRKVAJAMDg6QcaMDo4zuGAxv+/f/PYOvLyMENkvoPrkaMHRnt/ZArF5AUAwPDsR0gaXgvgoGB4d69ewEBAZcvXzYyMlqzZo2ioiJU6Sg1GgKjIUAoBEaXAxEKIRR5UJmFIkCA4+/vv8jREKLoP2jlIwOo/ILwYSRrWtnbRTYMDAxohyjA5KE0qVZDtSFREKspMQdTL8RMJEtAzNHWPygURvEoGA2BYQRGOwBYIhPSAVBVVX369ClEWkREREVF5ciRI1OnTnV3d2f4D1q3c2Tr/8d3QJWFqDREFQMHN4OACMOHNwxP7zFIyjPomkOb+xKyDPeuMlw5/l9Fh1FaEbR5YOfyf6+eMKjoMfrEM755BtIuAutF7N27Nyws7N27d6mpqZMmTeLg4ABJj+LREBgNAaJDYLQPQHRQYWm+49LLwsLy58+fR48eOS1+oqCgICAgwAw5AwGm4f///1++fHn8+PHXhRshYm1tbQwXQXOnEC4aCSo90YTwciHlKaYuTBHMZj0ug+F64VowbRlt/eMKvVHx0RAYDYGhCxj/Q0anh64PaODyqKio5cuXIxt88eJFRkZGExOTX79+gS7nYmb495eBjYPhz28QI72JiZsXqnz7kv/Xz/5nZGKILmISg3UMfv1kWNjx7/MHkBomsF4GBgYJOYbANCZOboa5Lf8+vmUIzWaUVWGsT3ovJCT09+9fkFIkXFpa2tXVhSQwyhwNgdEQIBwCoyeE4gmj126hjEuny4gjLT3Eo5qBwWTqUgUFhTdv3uBVhZBct26d0EZq3qSO2TRHWEYZC976B53wxoDoFI02/SkL11HdoyEwGgKDF4zOAGCJG8gOYLgEGxubpqYmKyvr4cOHq6qqzp079+f/e0kFRhtvxm2L/7GyM8Jb/wwMDJCV/QbWjPDWPwMDAxs7qD9weMv/x7f/f//KICzOoGXKqG/DyMLC8OsnaFcAAwODqCSodrt06RJm6x9tOzLcYaOM0RAYDQH8ITA6FYA/fEiSPZMdvcbbWrdv3sGDB48cOfL8+XPMwoqXl1dHR8fW1vbL5GYGqrb+IU6FD9hDuMSQyI17iHpMEWRj4ezR1j8kuEbJ0RAYDYFhCUZnAMiJ1uIJ4EMwMLTeufx/07z/XLwMiVVM7GSt3OktQB/7x7BkVGA0BEZDgLQQGJ0HwBpepM4AYDWEboKYrXYirSZP42jrn8jgHVU2GgKjITBEwegpQFSLuN+/GPavAw0e2fsxktf6p5pTRg0aDYHREEAKgdGjgZACgzATNBdJWBU+FV/D0nrf/et992+vnB4+daTIgcpWUtTD1WJqxOVB+JlCo61/eOiNMkZDYDQEhisYXQJEtZg9sfP/5w8MMsoMmia46heq2TVq0GgIjIYASSEA6QOMTgWQFGhkK75169bmzZtB26WYmJwFsBhD3qg8FoPIEsLsEsCNsVuwAc4eZYyGwGgIjIbAMAajHQDskbt0SydWiWifcqziDAygQz9tfUeb/riCZ1R8NAQGPgRGtwQQEwd42seY2rE25RUUFAIDA0Gloq0t1lOA8FsBKUbxq8F0CZoIVoehqUHjjrb+0QJklDsaAqMhMIzB6B4AciIX1x4AcsxC1TO6BwA1PEZ5oyFA/RAYnQeAhOmg3QOA1nZH40Icj0kSqQxTI0RkdNkPJBxGydEQGA2BEQJGZwBGSESPenM0BEZDABoCo8uBoAEBpkhtN+v1z9+4cePVq1ffv3+PeYo0Dw+PkpKSu7v7y44KsPGECYIOIHIqgEhlcAfB7R1t+sPDZJQxGgKjITBywGgHYOTE9ahPR0NgNAQQITC6HAgSFsS3mzW7ZhkZGT0VEoJoxE9ycnKuWbOGe9Us/MoYkA7dh6vE7yR4wx2unjwGxJbR1j95oTeqazQERkNgqIPRDsBQj8FR94+GwGgIkAlG+wAEAw7e2jaZupSHhweinomJSU1NTVpamokJ/Ry5z58/nzlz5s+fP9+/f/f29l69erXoliUQXcSQkNX/WHsFcO2Qhjuci8aAOxgijsaFCMLJ0dY/PChGGaMhMBoCIw2MdgBGWoyP+nc0BEZDABECo30ARFggsSANceSmdnJyMkQ+IiIig/07hI2N5GJQ937oFBQfH8/AwNDQ0DDVRAWbMuxiyDZiV0FIFM0ENC6y7tHWP3JojLJHQ2A0BEYaQB+/GWn+H/XvaAiMhsAIDwH3RRshuwJGeDgge/8/bGUOvAG9ZcsWiILW1lYIAw8ZEBAAkb1z5w6EQQwJ6XUQoxKihlT1EF0MDAz2CzaMtv7hoTHKGA2B0RAYmWC0AzAy433U16MhMBoCKCEw7PsApzlFUDyMg3MGSRn8YiwGBgYLCwuIjilTpkAYeMi1a9dCZPX19SEMYkh4Z4MYxfBlQqR2A0ab/kQG76iy0RAYDYHhDUaXAA3v+B313WgIjIYAsSEwvJcDsSqprTn0NESYHVdw/Pz9+zKf5PXfDCZIKv4zMECW0c+ZM0dRUZGBgaG/v382D4+Pj4+ysjIzMzOSWoY/f/7cvXt369atXxZuhIj39fX9md0NYcNJiIFwLj0Zo61/eob2qF2jITAaAoMZjN4DQE7sjN4DQE6ojeoZDYEhEgLD9aKAJy9fb/74O0ZakJebk4GBAfkegJ+/f8+/99pHgFVGXBRXLHFkVjo4OPz48QOXAmRxDg6OLVu2sC6eDB/Xhw/Vw0WQ1dOaPdr0p3UIj5o/GgKjITC0wGgHgJz4Gu0AkBNqo3pGQ2DohMBw7QN8/vo9dN3u5rQk0+9v4B2AM5wi138zOD69jqf1D4863ry6RYsW3bhx49OnT2j3ADAyMnJzc6uoqERHR/+d0wPXQjyDRpMDo61/4qNgVOVoCIyGwAgBox0AciJ6tANATqiN6hkNgSEVAsO1D/Dr9+9rBvZ3Du23j4z5OW/iB3X9678Zwr4/Z2dlpTx+aNSCZ4CtRCLDhaOtfzICbVTLaAiMhsCwB6N7AIZ9FI96cDQERkOAnBAYrlsC2FhZDa4eE/nzKTY21pqPPZOdzURclAGp9U9SI16qujspKenIkSPIQWxnZzdr1qwX7eXIgpjGwkXgDGT1cDZElryFQ6Otf3gwjjJGQ2A0BEZDABmMngKEHBoobAMDA0ZGxoULF6KI0pGzfPlyIyMjXl5eS0vL8+fP09HmUatGQ2A0BEAhMCxPCH32n5+BgUFGXHTx4sWJxrqQZT8P/kPv94Wv1Af5HwmzpJY6LNzosHDjPLB2iMwiZmE1NTW01j8DA8OhQ4c0NDTW8csjt78xW/BwETgDYiwaiV8WTTGcO3rWJzwoRhmjITAaAqMhgAlGZwAwwwQk8vv37+vXrzMwMOjp6YH4qPj51RxUAerz2traqqurQRPfjIwnTpwICQm5e/cu9a0ZNXE0BEZDgFAIDL+pAEgfgJWBgYOdDd70hwQDrtb2nz9/IApYWFgY/oKYPyIz53l4QMqoqqqqmpqakxkR1nPWzJw5s6io6NevX5MmTQoODgYppTtG7njQ3fJRC0dDYDQERkNgCIDRDgB2cP369V+/frGwsGhpaWGqeH1VClOQKiI/f/78+PEjOzt7S0sLAwPD9u3bBQUFLSws7t279+7dOyEh6CgdVewaNWQ0BEZDgMgQGH59AIjHH/4XkIawCJG/f/+GKIF3ANra2iAiCxYskN+37mRGBAMDw9GUEB0Ghh07djg5OTEwMCQnJ8+x1oYooxs52vqnW1CPWjQaAqMhMHTBaAcAe9xdvHiRgYFBQ0ODnR3l2Ow/f/5MmDDh7LXZn78+Y2fllRA1/P3766PnR7SUg/l5FY5f6GVgYDDWThfkAx2Y/fvP92Pnu3//+aau6CcrYfX//7/HL469eX/j89dnzEysgvxKSrJunOyCDAwMN+5tePLyhLiwnrBwc319fWlp6bdv3yAuW7VqFQMDg4SExGjrHxIgo+RoCAxICAzXPgCRgQnvALCysjL8BGnS1tY+dOgQAwODuLg4iI+EOTlBx4wyMDAwMZGzyhSyDAkyF4HMRrIBJ3O09Y8zaEYlRkNgNARGQwAJjHYAkAIDiQnpAKBdY/no0aPAwMBz586BZ72Zvv75fvfRTiZG0FU4PFyS3JwiLCycf/58//b9NaQD8ODpvt9/vvFyS8mIW3z78fbizUVfv70E6WVg/M3w7fnr828/3DbXy2Nn4/v87RkDA8PLt5dYWVlNTU0hDrl//76fn9+1a9eYmZn7+voggqPkaAiMhsBAhQDktuDhejoQnlBlZABd8gVRMHXq1Knglr2CggJExN/ff/PmzWxLp0K4jElFHuClQQwMDGvXrn3bUwMRJ4+EdAOI0Tva9CcmlEbVjIbAaAiMhgAEjHYAIOGATmJ2AP79+xcbG3vu3DkrK6s/n414uaW+fn996dbib9/fMDIy8XCJMzAw8vPIvP1w++v31wwMDN9/vn/84jgDA6OGYsC//38u3Vz89dsreSl7aXFTTnah7z/fXbu79sOn+09fnVKScf7y7QUDA4OooOa9R6d4eHggrjl16tSVK1cYGBgEBQVVVFQggqPkaAiMhsDAhsBQnwqQYvzIwMAA2QYACUlFxncMDAx4mtr/GRhkZGQcHBxOnjz5/ft3BgaGf//+3bt3D6L958+foHVBYE7AxoMfYNcAZ2dnw1v/kJN8wEpABNZxfbgaPC4BacaGR1v/2EJlVGw0BEZDYDQEcILRDgD2oLl06RIDAwPyDMCyZcsOHTqkpKS0c+fOQDfQWBcPl7iClMO1u2u4OESYmEBHaPPxyL39cPvbD1AH4O6jHf/+/ZEWM+XnlXv0/MiXby+YGJlfvb306i3IZAYGhj9/QfPof/58//7j3d+/vxgZmVQVvOGtfwYGBltb23Xr1tXX11++fDkhIeHq1avY3ToqOhoCoyFA3xAY6n0ABgYGKcaPoHKKgUGB8d1/8Cn7kCCEt8IhXDj5eWJjgzw/g7wbRMRs+vL79+/fu3fv/Pnz169fZ1o4ESL+798/yJjFvn37Pk5ogAhi9i6wNvGxCsJNwMMYbf3jCZxRqdEQGA2B0RDACkY7AFiC5fnz569evULrABw8eJCBgSE6Ohq5jf4fPGrGyy0JMYWfR46BgeHb99efvjx58eYSKwuXirwnAwPD+0+gobJ///9+//keohJOcnOKf/72nIGBgZdbiotDBC4OqqGlpAIDAzk4OLy8vO7fv////39GRsjAGbKqUfZoCIyGwACEwPBYDiTP+IGBQRS5gY6rFY4mfiozElRqMTDYMTDYsTFACqb/DAx37twRFhY+nBSE3PonPnrg5hCpZbTpT2RAjSobDYHREBgNATQw2gFACxAQF7L+RxwMQHwwvnHjBgMDA3xzG1js/4vXoOP5ebighwLx88pCFv/cerCFgeG/irwnKwsXSOV/UO0pL2WrKu8N4qLie493MzAw8HBJMDAwPH/+PC4ujoGBYenSpWJiYqDOw3tQnwFyKQGqvlHeaAiMhsAAh8AwmAqgSgiCCjgGhm3i6g7gUuvevXuPGgvRTCamcQ8xB00jVi4jA4Pdgg1YpUYFR0NgNARGQ2A0BAiC0Q4AliCCdABUVVWfPn0KkRYREVFRUTly5MjUqVPd3d0ZGP5/+/Hu7qMdkKF9+AwAKwsXJ4fw9x9vP3x+wM8jKy1mAtHOyyPz+v31py9PiwppC/DKf/326urd1Z+/PhMT0tZVi/4M3gDAwwWaRuDn59+/f//fv397enoaGhquXr1aXg66TTM1NRVi1Cg5GgKjITCoQmCE9AGeuIYWFRXhD/kvX0BjGQwMDGZmZpDzf1Z5WsK1EN+4h2tBYyAvTxpt/aMFzih3NARGQ2A0BEgCox0ALMEF6QAcOXJERkYGIn3x4sWioqJly5Y9ffrU2NiYkZH5//+/LMwcEAa8A8DAwMDPI/f9x1tGRiYNpUD4wlp5SZtnL0/9+PXxzJUZEC0MDAx8PDIaSgEMDAxfvkKWAIE6AFxcXFFRUYsXL+7u7u7r6/v7F3TjTlxcXGJiIsQlo+RoCIyGwGALgZHQB/j8+TNkYSQxgf/mzRtilJGqBt6FGF35Q2rQjaofDYHREBgNATQw2gFACxAQF7IDGMQCYzY2Nk1NTVZW1sOHD1dVVZ07d+7b138CvPLKcu5Xbi9nZmZnY+UFKwQRv/98ZWBgkBG34OWGrgtiYGBgZmY308u983D7u0/3fv/+ysUlJiFiJCthycTE8vfvT8jGAMgSIAYGhmnTpgkLC69Zs+bLly8GBgapqalRUVEgo0fxaAiMhsBgDYHhsSUAT+impKR8/fq1pKQErubo0aOCgqBrTOAilZWVGzduZGBguHTpEuRcoFedlXBZqjBGm/5UCcZRQ0ZDYDQERgHjf/Dy9NGAICkEXK06sap/9e7qpZuL2Vh5rAxLWJg5sKrBL7j7GGjBD341o7KjITAaAoM2BIbQLQGv3UIZl06XEQdtAiYyPO3mr9+zZ4+npydkcpKTk3PHjh3/5/VB1vdP+8GxcuVKBgaGA/H+RBpIkrLR1j9JwTWqeBSMhsBoCOAB5FzTiMe4kSz199+vW/c3MTAwqMp7k9f6H8mhN+r30RAYHiEAmQoYHn7B9MWhxEC2pVP3xvi8e/eOiYnp+/fv9vb2Dgs3XjR2tluw4edP0NHGmLqoIjLa+qdKMI4aMhoCoyEwGgIQMNoBgIQDFch7j/f++PVRkE9RUtSQCsaNGjEaAqMhMDRDYHj3ASBxcqkwcV+s7/v37yH3Aefl5TEyMm7ZsgUiS3VytPVP9SAdNXA0BEZDYISD0T0A2BMArkU+eJboqMp7qoJP/WcYBaMhMBoCIzsEIH2Awb8ciBF8UgF8cy2pkXaxIGGBvb7lzZteXl779u378+cPqSYQVD/a9CcYRKMKRkNgNARGQ4AMMLoHgIxAY8DVPSDHLFQ9eDoYqApHeaMhMBoCQyAEBnMfgIw9APhDfCmb2JUrVxgYGNrVQHeY4FEM2TNAsOMx2vrHE4ajUqMhMBoCoyFACRidAaAk9Eb1jobAaAiMhgC+EBiiJ4Qin7iPz3swObHydgYGhhJm5udtZRAxXCZAxAk2/RkYGEZb/5CQHCVHQ2A0BEZDgBZgtANAi1AdNXM0BEZDYDQEoCEwVJYDQZ0LpohpoIMVQgktLS0GBgYxMTH4zV+kmgA1CEyNNv3BwTBKjIbAaAiMhgANwegmYBoG7qjRoyEwGgKjIQAJAUg3AMIeWiRknwAuN0MW8+CSxRQn2DEYbf1jBtqoyGgIjIbAaAhQHYx2AKgepKMGjobAaAiMhgCWEBiifYD/DAx4Wu3IUoyMpHYH0ENptPWPHiKj/NEQGA2B0RCgDRjtANAmXEdNHQ2B0RAYDQGMEBgqfQD8DXlccwL4OwC4dMEDabT1Dw+KUcZoCIyGwGgI0BqM7gGgdQiPmj8aAqMhMBoCiBCA9AEG8+lADHiH/CE+QR74Z2BgePXqFQMDAzMz8+WiJIgCksjRpj9JwTWqeDQERkNgNAQoB6MdAMrDcNSE0RAYDYFRQFoIDNHTgSCeRGv9MzAwXCtNZQBfKQBRACchZ/7AuWgMyDyD3YINaOKj3NEQGA2B0RAYDQFag9ElQLQO4VHzR0NgNARGQwBLCECmArBIDFkhzI4Bmggal4GBYbT1P2Rje9ThoyEwGgJDG4x2AIZ2/I26fjQERkNg6IbA8OsD4IkL5NY/ZD/AaOsfT3CNSo2GwGgIjIYATcHoEiCaBu+o4aMhMBoCoyGALwQgfYBBviUAnwfIkhtt+pMVbKOaRkNgNARGQ4BqYHQGgGpBOWrQaAiMhsBoCJAXApBuAHl6qaULsiKfKqbhN2p0yy9VAnnUkNEQGA2B0RCgBIx2ALCH3ufPn5mYmBgZGV+/fo1dxRAX9fT0ZGRknDlz5hD3x6jzR0NgmITAgPcBkJfoUBKm+Df+jrb+KQnbUb2jITAaAqMhQC0wugQIe0heunTp////omCAqSKN6Tmm4NASuXjxIgMDg56e3tBy9qhrR0NgGIcApA8w5JYDobX4cXUkRpv+wzjpjnptNARGQ2DIgdEOAPYog7SPdXR0sEqHsmzEKk4NwQnUMISAGW/evHn+/DkjI6Ouri4BpaPSoyEwGgL0DYEhfUIorqAabf3jCplR8dEQGA2B0RAYEDC6BAh7sF+4cIGBgUFRUbG6ulpVVZWbm9vQ0HDx4sXIqv/8/9/z+KPTxReCRx9pnX7a9uhj4d13jAcfzH3xhYGB4df//62PPqqfesp/5FHE9def//6D6P3z//+EJ59cLr0QPvpI7sST2BtvHvz4A5HKvP2WkZGxpqbGy8tLSEjI0NBwypQp3759y8/P19DQ4OHhsbKyOn78OEQxAwPDnz9/JkyY4OLiIiwsLCcnFxsb++DBA4hsZmYmIyNjY2NjdHS0mJiYqKhofHz858+fGRgYNmzYICoqCrrr5/9/Xl7ee/fuQbSMkqMhMBoCgyQEIFMBA+4Y/Ev54c7DNeQPVzDa+ocHxShjNARGQ2A0BAYJYPz/n2DpPUicSldnmJubnzp1ipmZ+e/fv0xMTP/+QZvvM2bMSE9PZ3BQfPTzT+CVV+e+/ALdf8nI8BccimxMjL/+/T9tJGnCyx57482Sl1/gk+MlsvzdSoJ3vv8OuPrq6tffDAwMTIwM/8C6xNmYzxpJSbMzW51/fvzTT4g/GRlBUcPIyKikpHT37l0Il4GBQVRU9NGjRxwcHHfu3AkICLh69SrIKJgLxcXFz549Ky0tjdxVgLu/pKSku7u7q6urrq7u58+fbGxs4uLiDx8+ZGQksqKHOG2UHA2B0RCgRwjQei3Qa7dQxqXTZcRBwwG0889o6592YTtq8mgIjIbAaAiQDUZnALAE3b9//y5fvszAwCArK7t169avX78+f/7c3d2dgYGhqamJgYHhHwND7PU35778suJjP20k+dNW4bKJlBon669//5kZGbS52Z7+/LvkJWge4Iqp9BJN0QQJHnl25q9//wdefX3t6+8yWf5bZtK/bBVumUnb8nO8/PV3zovP/xkYLoM7Bh4eHi9evHj79q2RkdH////v3bs3derUr1+/rlixgoGB4fXr1zdu3Pj69WtgYOC1a9fKyspu3br169evW7du2dravnz5cs6cOf///4e438rK6t69e69fv7a1tWVgYDh16hQDA0NZWVlQUBADA0NNTc2jR49GW/9YUsCo0GgIDIIQcF+0cZBMBWAGhv2CDXbz12NF8Ba//YINcDamCaMioyEwGgKjITAaAgMIRvcAYAG3bt36/v07Ozv7tm3bNDU1GRgYJCQkuru7d+7c+ezZs48fP25++eXQxx9KHCw79cR5mEGdKB1utnI5/uSbb9Q5WTmZGP8x/IeM/Zffex8vzj1TTZiNkXHCk09Xvv5iY2Jc9frrqtdfIRZDlga9//3v3vc/X8DLhGbPni0uLs7AwGBubn7u3Dlvb++srCwGBobg4GDIPAAXF9fs2bOvXLnCxsa2CgygRoFX+Lx///7evXtfvoC6H4sWLVJUVGRgYHBxcTl8+DA/Pz9E5aVLlxgYGPT19SHcUXI0BEZDYNCGwKDaEmA9Z42jo+ORI0cYFhKYNlRTU7v86xcbG9ugDdhRh42GwGgIjIbASAagxutI9j9Wv0M2AFhbW0Na/xA1kLVSAgIC/Pz8Bz+CFupEi/NAWv8QBf/Ai6n0eUAVniw7S4UcPzsT45a330KvvTY6++zL338HPv4A7Q349//Bjz9w9PY3aHGRNjfrxa+g1UQaGhoyMjIQA+/fvw9pu0O4Dx8+/P//Pysrq4KCwoEDB0BG/fr1AAm8ffuWgYFBW1sbsoNZXV1dWVkZohdymCmkM/Dz58+bN2+OHgEECZlRcjQEBn8IDJJ5gPMGDqysrKDWPxFBduvWLXZ29vLyciLUjioZDYHREBgNgdEQoDcYnQHAEuKQBjQHBwey3MKFCxkYGFxdXRkYGG58Ay3i52RCjIH9Z2BY+go0qA/pADAwMLQpChbL8M958bni3vurX39f/PIbsuK/WIavR1kI2WQIu/7BBwYGBhMTEwiXgYEB0g+Bi0Bcpa2tzcbGBtmTUFxc3NPTA1cPZ9TX10MmEOAi165dY2BgMDAwYGBguHbt2p8/f/j4+BQUFOAKRhmjITAaAoM5BAbDPEBhYSEkiGJiYubPn380JQTCRSNt5q4tKCiYMmUKAwNDV1dXTEzM6GljaEE0yh0NgdEQGA2BAQejMwBYogDS8t65c+eKFSv+/v375s2burq6CRMmsLKytra2MjAwqHCCOk5Tn3069+XXfwaGO99/h197feADaIDfgJvtwpdfnIcfch5++OLXXxcBUDeBhZFRh5vVhBc0OTDnxZcjH3/8Z2C4+vW32bnnrIcehl0D3TV2CTwDAGmjMzAwvHz58sWLF4yMjPCj+iEdAIgCSK9gzpw5R44c+f///9WrV83MzFhZWcPCwhgYGDBX+EB8BFnzAzEHbiwW/48KjYbAaAgMvhCg9ZYARgYGxJAGbu8XFhamMH/G2vqHLPpnZmaePHlyTU0NxIyNG2l3aDLEhlFyNARGQ2A0BEZDgGQAasiSrGm4a7h48SIjIyM3N3dkZGRcXNzv36Dxfn5+/tWrV6uqqjIwMBTJ8C179fXpz7/GZ5+xMjL+/v+fj5kJwtDnYeNhZmRlZPz895/e2aeQUf92JQF+FqZCGb45z788/vnH9sILiGIGBgZTXvZpqqAJgYvgA4Ug7Xv48L+ysjIvLy8kvCGNeIiCwsLCOXPmPH782NbWlpWVFeJCU1PTadOmMTAwQJr4EJUMDAxPnjx59+4dCwuLtrY21u4BxPxRcjQERkNg8IcATacCwMeSERUGkD1OyErR9vu+fPkSIgvfegThjpKjITAaAqMhMBoCgwGMzgCgx8Lnz5+lpaW9vLx27txpa2vLxsYmKCgYEBBw/PhxyPofBgYGXW62wwYSzoIcgixM4mzMYaLcZ40lDXjYHAU4JNiYeZiZ1mmL6nGzcTIxmvCyr9ASLZMF7b7lZWY6bSQJOhGIg4WNiUGfh61HWeiQgYQIK/Pnv/8gtwFABunhHQB4Ix6tWc/Ly3v69OmEhAR5eXk2NjZ9ff2enp5Dhw6JiIh8/vwZchsAmlEaGhrs7OzwDsDoDAB6xI/yR0NgiIQAjbYEEGz9Q04M6+/v3yGpaTh5sdXs1TZz18LRXzD4+fPnhw8fUlJSZs+ezcDAwMjIGBoaOkTCddSZoyEwGgKjITCCAOiw+RHkXWp51QF0tA61DEMx5wBo4y+KyChnNARGQ2A0BLCFAIUXBZB6D8BWMbWenp7/4NMOsDkHXYyJiWnFihWjHQD0cBnlj4bAaAiMhsAgAKMzAIMgEkadMBoCoyEwGgKkhwCNpgJwOcT71a1Pnz4ZGBgQPNyTg4PDzc3t8+fPo61/XIE5Kj4aAqMhMBoCAwtGZwDICv/RGQCygm1U02gIjIYA1UOA7HkAUmcAkF3OyMBgt2ADssgoezQERkNgNARGQ2AIgdFNwDgia2I3don8Uuzio6KjITAaAqMhMBAhQNNtwbg8hL/1//fv369fQcciMzAw8PHx4TJkVHw0BEZDYDQERkNgoMBoBwBHyI829HEEzKjwaAiMhsBgCwHIWiCypwJI8g7aaT9Y9V64cAFyVDEDAwPxewawGjUqOBoCo2A0BEZDgBZgdA8ALUJ11MzREBgNgdEQoHcIQLoBVLcV+XIAYlr/DAwMf/78obozRg0cDYHREBgNgdEQoCIY7QBQMTBHjRoNgdEQGA2BgQwBWvQB/sMuCCOy9Q+5hvw/DAxkcIzaPRoCoyEwGgKjIYADjC4BwhEwo8KjITAaAqMhMARDgBZbAv4zMKC1/r9///7hwwfM5T3s7Oz8/PwsLKM1yxBMOqNOHg2B0RAYSWC0mB5JsT3q19EQGA2BERACkHkAam0JQG76r1u3LjEx8dOnTwRD0cLCYvXq1TIyMgRVjioYDYHREBgNgdEQoD8YXQJE/zAftXE0BEZDYDQEaB4CkG4AhdYgt/6tra2Dg4OJaf0zMDCcOHFCVlZ248aNFDpgVPtoCIyGwGgIjIYALcBoB4AWoTpq5mgIjIbAaAgMfAiQ0QfAs+X32LFjEC+dOHECtsIfC/3r16+2tjaIyoCAgH///kHYo+RoCIyGwGgIjIbA4AGjF4GRFRejF4GRFWyjmkZDYDQEBiQEsC4HwnMRGPLAP9zBjIyg3sGuXbtcXV3hgrgYysrK9+7dGz0GFFf4jIqPhsBoCIyGwMCC0RmAgQ3/UdtHQ2A0BEZDgOYh4L5o45q3Pwla8/P37zOcIlhb/3C9O3bsgLPxMN6+fYtHdlRqNARGQ2A0BEZDYGDBaAdgYMN/1PbREBgNgdEQoEcIqNg5Tr/17Nfv37gs+/n79/x7r/8oqOJSAJkB6Ovr09DQWLJkye3bt5+ggkePHu3ZsycuLo6Dg+Pjx48MDAzy8vK4TBsVHw2B0RAYDYHREBhAMLoEiKzAH10CRFawjWoaDYHREBjAENi9e/fU2qoYaUFebk4GBgbkJUBP5dS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      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<gempy_viewer.modules.plot_3d.vista.GemPyToVista at 0x1fe80f99c90>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gpv.plot_3d(geo_model, \n",
    "                 image=False, \n",
    "                 show_topography=True,\n",
    "                 plotter_type='basic', \n",
    "                 kwargs_plotter= {'notebook':True},\n",
    "                 show_lith=True)"
   ]
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   "source": [
    "<a id='conclusions'></a>\n",
    "# Conclusions\n",
    "\n",
    "<div class=\"alert alert-block alert-success\">\n",
    "<b>In this tutorial, you have learnt the following:</b> <br>\n",
    "- Get an understanding of how faults are modeled/displayed in GemPy<br>\n",
    "- How to build a simple model consisting of <b>faulted layers</b> belonging to <b>one Series</b><br>\n",
    "\n",
    "</div>\n",
    "\n",
    "\n",
    "<a id='outlook'></a>\n",
    "# Outlook\n",
    "\n",
    "<div class=\"alert alert-block alert-success\">\n",
    "<b>In the next tutorial, you will learn the following:</b> <br>\n",
    "- Get an understanding of how unconformities are modeled/displayed in GemPy<br>\n",
    "- How to build a simple model consisting of <b>unconformable layers</b> belonging to <b>multiple Series</b><br>\n",
    "\n",
    "\n",
    "</div>\n",
    "\n",
    "[Take me to the next notebook on Github](https://nbviewer.org/github/cgre-aachen/gemgis_data/blob/main/notebooks/01_basic_modeling/model4_Truncated_Layers.ipynb)\n",
    "\n",
    "[Take me to the next notebook locally](model4_Truncated_Layers.ipynb)\n",
    "\n",
    "<img src=\"../../jose/images/fig1.png\" />\n",
    "\n",
    "<a id='licensing'></a>\n",
    "\n",
    "## Licensing\n",
    "\n",
    "Institute for Computational Geoscience, Geothermics and Reservoir Geophysics, RWTH Aachen University & Fraunhofer IEG, Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG, Authors: Alexander Juestel. For more information contact: alexander.juestel(at)ieg.fraunhofer.de\n",
    "\n",
    "All notebooks are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0, http://creativecommons.org/licenses/by/4.0/). References for each displayed map are provided. Most of the maps originate from the books of [Powell (1992)](https://link.springer.com/book/9783540586074) and [Bennison (1990)](https://link.springer.com/book/10.1007/978-1-4615-9630-1). References for maps with unknown origin will gladly be added."
   ]
  }
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