{
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   "source": [
    "# The P-Dispersion Problem: An Empirical Example\n",
    "\n",
    "*Authors:* [Erin Olson](https://github.com/erinrolson), [Germano Barcelos](https://github.com/gegen07), [James Gaboardi](https://github.com/jGaboardi), [Levi J. Wolf](https://github.com/ljwolf), [Qunshan Zhao](https://github.com/qszhao)\n",
    "\n",
    "This tutorial extends the [Empirical examples](./facloc-real-world.ipynb) notebook, specifically for the $p$-dispersion problem. A deeper dive into the $p$-dispersion problem can be found [here](./p-dispersion.ipynb).\n",
    "Also, this tutorial demonstrates the use of different solvers that [PULP](https://github.com/coin-or/pulp) supports."
   ]
  },
  {
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   "execution_count": 1,
   "metadata": {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: 2023-12-10T13:43:20.123733-05:00\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.11.6\n",
      "IPython version      : 8.18.0\n",
      "\n",
      "Compiler    : Clang 15.0.7 \n",
      "OS          : Darwin\n",
      "Release     : 23.1.0\n",
      "Machine     : x86_64\n",
      "Processor   : i386\n",
      "CPU cores   : 8\n",
      "Architecture: 64bit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%config InlineBackend.figure_format = \"retina\"\n",
    "%load_ext watermark\n",
    "%watermark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.256467Z",
     "start_time": "2022-12-29T02:17:57.895522Z"
    },
    "execution": {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Watermark: 2.4.3\n",
      "\n",
      "matplotlib         : 3.8.2\n",
      "matplotlib_scalebar: 0.8.1\n",
      "numpy              : 1.26.2\n",
      "geopandas          : 0.14.1\n",
      "pandas             : 2.1.3\n",
      "spopt              : 0.5.1.dev59+g343ef27\n",
      "shapely            : 2.0.2\n",
      "pulp               : 2.7.0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import geopandas\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Patch\n",
    "import matplotlib.lines as mlines\n",
    "import matplotlib_scalebar\n",
    "from matplotlib_scalebar.scalebar import ScaleBar\n",
    "import numpy\n",
    "import pandas\n",
    "import pulp\n",
    "import shapely\n",
    "from shapely.geometry import Point\n",
    "import spopt\n",
    "from spopt.locate import PDispersion\n",
    "import time\n",
    "import warnings\n",
    "\n",
    "%watermark -w\n",
    "%watermark -iv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-------------------\n",
    "We use 2 data files as input:\n",
    "\n",
    "- `facility_points` represents the stores that are candidate facility sites\n",
    "- `tract` is the polygon of census tract 205.\n",
    "\n",
    "***Note*** that all other 'Real World Facility Location' demonstration notebooks utilize [this file](https://github.com/huanfachen/Open_source_location_cover_models/blob/master/Data/San_Francisco_store/SF_network_distance_candidateStore_16_censusTract_205_new.csv) which contains facility-client network distances that were calculated using the ArcGIS Network Analyst Extension. This notebook, solving for $P$-Dispersion, *does not* use this file or any network distances and instead relies solely on euclidean distance for solving the model.\n",
    "\n",
    "All datasets are available online in this [repository](https://github.com/huanfachen/Open_source_location_cover_models/tree/master/Data/San_Francisco_store)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.264396Z",
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    }
   },
   "outputs": [],
   "source": [
    "DIRPATH = \"../spopt/tests/data/\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`facility_points` dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.287916Z",
     "start_time": "2022-12-29T02:18:00.267565Z"
    },
    "execution": {
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   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>long</th>\n",
       "      <th>lat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Store_1</td>\n",
       "      <td>-122.510018</td>\n",
       "      <td>37.772364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Store_2</td>\n",
       "      <td>-122.488873</td>\n",
       "      <td>37.753764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Store_3</td>\n",
       "      <td>-122.464927</td>\n",
       "      <td>37.774727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Store_4</td>\n",
       "      <td>-122.473945</td>\n",
       "      <td>37.743164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Store_5</td>\n",
       "      <td>-122.449291</td>\n",
       "      <td>37.731545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Store_6</td>\n",
       "      <td>-122.491745</td>\n",
       "      <td>37.649309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Store_7</td>\n",
       "      <td>-122.483182</td>\n",
       "      <td>37.701109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Store_11</td>\n",
       "      <td>-122.433782</td>\n",
       "      <td>37.655364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Store_12</td>\n",
       "      <td>-122.438982</td>\n",
       "      <td>37.719236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Store_13</td>\n",
       "      <td>-122.440218</td>\n",
       "      <td>37.745382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Store_14</td>\n",
       "      <td>-122.421636</td>\n",
       "      <td>37.742964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Store_15</td>\n",
       "      <td>-122.430982</td>\n",
       "      <td>37.782964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>Store_16</td>\n",
       "      <td>-122.426873</td>\n",
       "      <td>37.769291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Store_17</td>\n",
       "      <td>-122.432345</td>\n",
       "      <td>37.805218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Store_18</td>\n",
       "      <td>-122.412818</td>\n",
       "      <td>37.805745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Store_19</td>\n",
       "      <td>-122.398909</td>\n",
       "      <td>37.797073</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    OBJECTID      NAME        long        lat\n",
       "0          1   Store_1 -122.510018  37.772364\n",
       "1          2   Store_2 -122.488873  37.753764\n",
       "2          3   Store_3 -122.464927  37.774727\n",
       "3          4   Store_4 -122.473945  37.743164\n",
       "4          5   Store_5 -122.449291  37.731545\n",
       "5          6   Store_6 -122.491745  37.649309\n",
       "6          7   Store_7 -122.483182  37.701109\n",
       "7          8  Store_11 -122.433782  37.655364\n",
       "8          9  Store_12 -122.438982  37.719236\n",
       "9         10  Store_13 -122.440218  37.745382\n",
       "10        11  Store_14 -122.421636  37.742964\n",
       "11        12  Store_15 -122.430982  37.782964\n",
       "12        13  Store_16 -122.426873  37.769291\n",
       "13        14  Store_17 -122.432345  37.805218\n",
       "14        15  Store_18 -122.412818  37.805745\n",
       "15        16  Store_19 -122.398909  37.797073"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "facility_points = pandas.read_csv(DIRPATH + \"SF_store_site_16_longlat.csv\", index_col=0)\n",
    "facility_points = facility_points.reset_index(drop=True)\n",
    "facility_points"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`study_area` dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.415740Z",
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     "shell.execute_reply.started": "2023-12-10T18:43:22.379326Z"
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   "outputs": [
    {
     "data": {
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       "\n",
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       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POLYGON ((-122.45299 37.63898, -122.45415 37.6...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            geometry\n",
       "0  POLYGON ((-122.45299 37.63898, -122.45415 37.6..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "study_area = geopandas.read_file(DIRPATH + \"ServiceAreas_4.shp\").dissolve()\n",
    "study_area"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-10-22T03:45:59.149289Z",
     "start_time": "2022-10-22T03:45:59.142948Z"
    }
   },
   "source": [
    "Plot `study_area`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
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    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 389,
       "width": 318
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "base = study_area.plot()\n",
    "base.axis(\"off\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a geodataframe of the candidate facility sites."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.548272Z",
     "start_time": "2022-12-29T02:18:00.543392Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.653610Z",
     "iopub.status.busy": "2023-12-10T18:43:22.653310Z",
     "iopub.status.idle": "2023-12-10T18:43:22.658031Z",
     "shell.execute_reply": "2023-12-10T18:43:22.657230Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.653585Z"
    }
   },
   "outputs": [],
   "source": [
    "process = lambda df: as_gdf(df).sort_values(by=[\"NAME\"]).reset_index(drop=True)\n",
    "as_gdf = lambda df: geopandas.GeoDataFrame(df, geometry=pnts(df))\n",
    "pnts = lambda df: geopandas.points_from_xy(df.long, df.lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.558159Z",
     "start_time": "2022-12-29T02:18:00.550880Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.659439Z",
     "iopub.status.busy": "2023-12-10T18:43:22.659156Z",
     "iopub.status.idle": "2023-12-10T18:43:22.666820Z",
     "shell.execute_reply": "2023-12-10T18:43:22.666056Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.659414Z"
    }
   },
   "outputs": [],
   "source": [
    "facility_points = process(facility_points)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reproject the input spatial data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.590763Z",
     "start_time": "2022-12-29T02:18:00.560765Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.668374Z",
     "iopub.status.busy": "2023-12-10T18:43:22.667922Z",
     "iopub.status.idle": "2023-12-10T18:43:22.691948Z",
     "shell.execute_reply": "2023-12-10T18:43:22.691270Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.668345Z"
    }
   },
   "outputs": [],
   "source": [
    "for _df in [facility_points, study_area]:\n",
    "    _df.set_crs(\"EPSG:4326\", inplace=True)\n",
    "    _df.to_crs(\"EPSG:7131\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set parameter `P_FACILITIES` for the number for candidate facilities to include in the optimal selection set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.596304Z",
     "start_time": "2022-12-29T02:18:00.593352Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.693630Z",
     "iopub.status.busy": "2023-12-10T18:43:22.693200Z",
     "iopub.status.idle": "2023-12-10T18:43:22.697231Z",
     "shell.execute_reply": "2023-12-10T18:43:22.696469Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.693597Z"
    }
   },
   "outputs": [],
   "source": [
    "# number of candidate facilities in optimal solution\n",
    "P_FACILITIES = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.606181Z",
     "start_time": "2022-12-29T02:18:00.603072Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.698813Z",
     "iopub.status.busy": "2023-12-10T18:43:22.698535Z",
     "iopub.status.idle": "2023-12-10T18:43:22.703007Z",
     "shell.execute_reply": "2023-12-10T18:43:22.702056Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.698790Z"
    }
   },
   "outputs": [],
   "source": [
    "solver = pulp.PULP_CBC_CMD(msg=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-------------------------------------------------\n",
    "## P-Dispersion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.705983Z",
     "start_time": "2022-12-29T02:18:00.608996Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.704831Z",
     "iopub.status.busy": "2023-12-10T18:43:22.704460Z",
     "iopub.status.idle": "2023-12-10T18:43:22.816270Z",
     "shell.execute_reply": "2023-12-10T18:43:22.815055Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.704809Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<spopt.locate.p_dispersion.PDispersion at 0x161b4e750>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdispersion = PDispersion.from_geodataframe(\n",
    "    facility_points,\n",
    "    \"geometry\",\n",
    "    P_FACILITIES,\n",
    "    distance_metric=\"euclidean\",\n",
    "    name=f\"p-dispersion\"\n",
    ")\n",
    "pdispersion = pdispersion.solve(solver)\n",
    "pdispersion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.714074Z",
     "start_time": "2022-12-29T02:18:00.709840Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.818748Z",
     "iopub.status.busy": "2023-12-10T18:43:22.818048Z",
     "iopub.status.idle": "2023-12-10T18:43:22.824184Z",
     "shell.execute_reply": "2023-12-10T18:43:22.823226Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.818723Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A maximized minimum inter-facility distance between any two sited candiate facilities of 10164.495 meters is observed while siting facilities at 3 of the available 16 locations.\n"
     ]
    }
   ],
   "source": [
    "n_fac_pnts = facility_points.shape[0]\n",
    "pdispersion_obj = round(pdispersion.problem.objective.value(), 3)\n",
    "print(\n",
    "    \"A maximized minimum inter-facility distance between any two sited candiate \"\n",
    "    f\"facilities of {pdispersion_obj} meters is observed while siting \"\n",
    "    f\"facilities at {P_FACILITIES} of the available {n_fac_pnts} locations.\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define the decision variable names used for mapping later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.729604Z",
     "start_time": "2022-12-29T02:18:00.716668Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.825973Z",
     "iopub.status.busy": "2023-12-10T18:43:22.825446Z",
     "iopub.status.idle": "2023-12-10T18:43:22.842042Z",
     "shell.execute_reply": "2023-12-10T18:43:22.841084Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.825952Z"
    }
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>long</th>\n",
       "      <th>lat</th>\n",
       "      <th>geometry</th>\n",
       "      <th>dv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Store_1</td>\n",
       "      <td>-122.510018</td>\n",
       "      <td>37.772364</td>\n",
       "      <td>POINT (42712.165 26483.898)</td>\n",
       "      <td>y0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>Store_11</td>\n",
       "      <td>-122.433782</td>\n",
       "      <td>37.655364</td>\n",
       "      <td>POINT (49431.133 13496.279)</td>\n",
       "      <td>y1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9</td>\n",
       "      <td>Store_12</td>\n",
       "      <td>-122.438982</td>\n",
       "      <td>37.719236</td>\n",
       "      <td>POINT (48971.439 20585.532)</td>\n",
       "      <td>y2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>Store_13</td>\n",
       "      <td>-122.440218</td>\n",
       "      <td>37.745382</td>\n",
       "      <td>POINT (48862.129 23487.462)</td>\n",
       "      <td>y3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>Store_14</td>\n",
       "      <td>-122.421636</td>\n",
       "      <td>37.742964</td>\n",
       "      <td>POINT (50499.936 23219.396)</td>\n",
       "      <td>y4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>12</td>\n",
       "      <td>Store_15</td>\n",
       "      <td>-122.430982</td>\n",
       "      <td>37.782964</td>\n",
       "      <td>POINT (49675.336 27658.898)</td>\n",
       "      <td>y5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>13</td>\n",
       "      <td>Store_16</td>\n",
       "      <td>-122.426873</td>\n",
       "      <td>37.769291</td>\n",
       "      <td>POINT (50037.687 26141.402)</td>\n",
       "      <td>y6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>14</td>\n",
       "      <td>Store_17</td>\n",
       "      <td>-122.432345</td>\n",
       "      <td>37.805218</td>\n",
       "      <td>POINT (49554.745 30128.981)</td>\n",
       "      <td>y7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15</td>\n",
       "      <td>Store_18</td>\n",
       "      <td>-122.412818</td>\n",
       "      <td>37.805745</td>\n",
       "      <td>POINT (51274.389 30188.010)</td>\n",
       "      <td>y8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>16</td>\n",
       "      <td>Store_19</td>\n",
       "      <td>-122.398909</td>\n",
       "      <td>37.797073</td>\n",
       "      <td>POINT (52499.809 29225.972)</td>\n",
       "      <td>y9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>Store_2</td>\n",
       "      <td>-122.488873</td>\n",
       "      <td>37.753764</td>\n",
       "      <td>POINT (44574.304 24418.447)</td>\n",
       "      <td>y10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>Store_3</td>\n",
       "      <td>-122.464927</td>\n",
       "      <td>37.774727</td>\n",
       "      <td>POINT (46684.891 26744.653)</td>\n",
       "      <td>y11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4</td>\n",
       "      <td>Store_4</td>\n",
       "      <td>-122.473945</td>\n",
       "      <td>37.743164</td>\n",
       "      <td>POINT (45889.483 23241.485)</td>\n",
       "      <td>y12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5</td>\n",
       "      <td>Store_5</td>\n",
       "      <td>-122.449291</td>\n",
       "      <td>37.731545</td>\n",
       "      <td>POINT (48062.508 21951.687)</td>\n",
       "      <td>y13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>6</td>\n",
       "      <td>Store_6</td>\n",
       "      <td>-122.491745</td>\n",
       "      <td>37.649309</td>\n",
       "      <td>POINT (44315.976 12824.977)</td>\n",
       "      <td>y14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>7</td>\n",
       "      <td>Store_7</td>\n",
       "      <td>-122.483182</td>\n",
       "      <td>37.701109</td>\n",
       "      <td>POINT (45073.750 18574.015)</td>\n",
       "      <td>y15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    OBJECTID      NAME        long        lat                     geometry  \\\n",
       "0          1   Store_1 -122.510018  37.772364  POINT (42712.165 26483.898)   \n",
       "1          8  Store_11 -122.433782  37.655364  POINT (49431.133 13496.279)   \n",
       "2          9  Store_12 -122.438982  37.719236  POINT (48971.439 20585.532)   \n",
       "3         10  Store_13 -122.440218  37.745382  POINT (48862.129 23487.462)   \n",
       "4         11  Store_14 -122.421636  37.742964  POINT (50499.936 23219.396)   \n",
       "5         12  Store_15 -122.430982  37.782964  POINT (49675.336 27658.898)   \n",
       "6         13  Store_16 -122.426873  37.769291  POINT (50037.687 26141.402)   \n",
       "7         14  Store_17 -122.432345  37.805218  POINT (49554.745 30128.981)   \n",
       "8         15  Store_18 -122.412818  37.805745  POINT (51274.389 30188.010)   \n",
       "9         16  Store_19 -122.398909  37.797073  POINT (52499.809 29225.972)   \n",
       "10         2   Store_2 -122.488873  37.753764  POINT (44574.304 24418.447)   \n",
       "11         3   Store_3 -122.464927  37.774727  POINT (46684.891 26744.653)   \n",
       "12         4   Store_4 -122.473945  37.743164  POINT (45889.483 23241.485)   \n",
       "13         5   Store_5 -122.449291  37.731545  POINT (48062.508 21951.687)   \n",
       "14         6   Store_6 -122.491745  37.649309  POINT (44315.976 12824.977)   \n",
       "15         7   Store_7 -122.483182  37.701109  POINT (45073.750 18574.015)   \n",
       "\n",
       "     dv  \n",
       "0    y0  \n",
       "1    y1  \n",
       "2    y2  \n",
       "3    y3  \n",
       "4    y4  \n",
       "5    y5  \n",
       "6    y6  \n",
       "7    y7  \n",
       "8    y8  \n",
       "9    y9  \n",
       "10  y10  \n",
       "11  y11  \n",
       "12  y12  \n",
       "13  y13  \n",
       "14  y14  \n",
       "15  y15  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "facility_points[\"dv\"] = pdispersion.fac_vars\n",
    "facility_points[\"dv\"] = facility_points[\"dv\"].map(\n",
    "    lambda x: x.name.replace(\"_\", \"\").replace(\"x\", \"y\")\n",
    ")\n",
    "facility_points"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## P-Dispersion with selection of predefined candidate facilities\n",
    "However, in many real world applications there may already be existing facility locations with the goal being to add one or more new facilities. Here we will define ***facilites $y_{11}$ and $y_{15}$ as*** already existing (they must be present in the model solution). This will lead to a sub-optimal solution.\n",
    "\n",
    "***Important:*** The facilities in `\"predefined_loc\"` are a binary array where `1` means the associated location must appear in the solution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.747114Z",
     "start_time": "2022-12-29T02:18:00.732772Z"
    },
    "execution": {
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     "shell.execute_reply": "2023-12-10T18:43:22.856376Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.843640Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th>dv</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Store_1</td>\n",
       "      <td>-122.510018</td>\n",
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       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>Store_11</td>\n",
       "      <td>-122.433782</td>\n",
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       "      <td>POINT (49431.133 13496.279)</td>\n",
       "      <td>y1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9</td>\n",
       "      <td>Store_12</td>\n",
       "      <td>-122.438982</td>\n",
       "      <td>37.719236</td>\n",
       "      <td>POINT (48971.439 20585.532)</td>\n",
       "      <td>y2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>Store_13</td>\n",
       "      <td>-122.440218</td>\n",
       "      <td>37.745382</td>\n",
       "      <td>POINT (48862.129 23487.462)</td>\n",
       "      <td>y3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>Store_14</td>\n",
       "      <td>-122.421636</td>\n",
       "      <td>37.742964</td>\n",
       "      <td>POINT (50499.936 23219.396)</td>\n",
       "      <td>y4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>12</td>\n",
       "      <td>Store_15</td>\n",
       "      <td>-122.430982</td>\n",
       "      <td>37.782964</td>\n",
       "      <td>POINT (49675.336 27658.898)</td>\n",
       "      <td>y5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>13</td>\n",
       "      <td>Store_16</td>\n",
       "      <td>-122.426873</td>\n",
       "      <td>37.769291</td>\n",
       "      <td>POINT (50037.687 26141.402)</td>\n",
       "      <td>y6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>14</td>\n",
       "      <td>Store_17</td>\n",
       "      <td>-122.432345</td>\n",
       "      <td>37.805218</td>\n",
       "      <td>POINT (49554.745 30128.981)</td>\n",
       "      <td>y7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15</td>\n",
       "      <td>Store_18</td>\n",
       "      <td>-122.412818</td>\n",
       "      <td>37.805745</td>\n",
       "      <td>POINT (51274.389 30188.010)</td>\n",
       "      <td>y8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>16</td>\n",
       "      <td>Store_19</td>\n",
       "      <td>-122.398909</td>\n",
       "      <td>37.797073</td>\n",
       "      <td>POINT (52499.809 29225.972)</td>\n",
       "      <td>y9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>Store_2</td>\n",
       "      <td>-122.488873</td>\n",
       "      <td>37.753764</td>\n",
       "      <td>POINT (44574.304 24418.447)</td>\n",
       "      <td>y10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>Store_3</td>\n",
       "      <td>-122.464927</td>\n",
       "      <td>37.774727</td>\n",
       "      <td>POINT (46684.891 26744.653)</td>\n",
       "      <td>y11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4</td>\n",
       "      <td>Store_4</td>\n",
       "      <td>-122.473945</td>\n",
       "      <td>37.743164</td>\n",
       "      <td>POINT (45889.483 23241.485)</td>\n",
       "      <td>y12</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5</td>\n",
       "      <td>Store_5</td>\n",
       "      <td>-122.449291</td>\n",
       "      <td>37.731545</td>\n",
       "      <td>POINT (48062.508 21951.687)</td>\n",
       "      <td>y13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>6</td>\n",
       "      <td>Store_6</td>\n",
       "      <td>-122.491745</td>\n",
       "      <td>37.649309</td>\n",
       "      <td>POINT (44315.976 12824.977)</td>\n",
       "      <td>y14</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>7</td>\n",
       "      <td>Store_7</td>\n",
       "      <td>-122.483182</td>\n",
       "      <td>37.701109</td>\n",
       "      <td>POINT (45073.750 18574.015)</td>\n",
       "      <td>y15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    OBJECTID      NAME        long        lat                     geometry  \\\n",
       "0          1   Store_1 -122.510018  37.772364  POINT (42712.165 26483.898)   \n",
       "1          8  Store_11 -122.433782  37.655364  POINT (49431.133 13496.279)   \n",
       "2          9  Store_12 -122.438982  37.719236  POINT (48971.439 20585.532)   \n",
       "3         10  Store_13 -122.440218  37.745382  POINT (48862.129 23487.462)   \n",
       "4         11  Store_14 -122.421636  37.742964  POINT (50499.936 23219.396)   \n",
       "5         12  Store_15 -122.430982  37.782964  POINT (49675.336 27658.898)   \n",
       "6         13  Store_16 -122.426873  37.769291  POINT (50037.687 26141.402)   \n",
       "7         14  Store_17 -122.432345  37.805218  POINT (49554.745 30128.981)   \n",
       "8         15  Store_18 -122.412818  37.805745  POINT (51274.389 30188.010)   \n",
       "9         16  Store_19 -122.398909  37.797073  POINT (52499.809 29225.972)   \n",
       "10         2   Store_2 -122.488873  37.753764  POINT (44574.304 24418.447)   \n",
       "11         3   Store_3 -122.464927  37.774727  POINT (46684.891 26744.653)   \n",
       "12         4   Store_4 -122.473945  37.743164  POINT (45889.483 23241.485)   \n",
       "13         5   Store_5 -122.449291  37.731545  POINT (48062.508 21951.687)   \n",
       "14         6   Store_6 -122.491745  37.649309  POINT (44315.976 12824.977)   \n",
       "15         7   Store_7 -122.483182  37.701109  POINT (45073.750 18574.015)   \n",
       "\n",
       "     dv  predefined_loc  \n",
       "0    y0               0  \n",
       "1    y1               0  \n",
       "2    y2               0  \n",
       "3    y3               0  \n",
       "4    y4               0  \n",
       "5    y5               1  \n",
       "6    y6               0  \n",
       "7    y7               0  \n",
       "8    y8               0  \n",
       "9    y9               0  \n",
       "10  y10               1  \n",
       "11  y11               0  \n",
       "12  y12               0  \n",
       "13  y13               0  \n",
       "14  y14               0  \n",
       "15  y15               0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "facility_points[\"predefined_loc\"] = 0\n",
    "facility_points.loc[(5, 10), \"predefined_loc\"] = 1\n",
    "facility_points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.793811Z",
     "start_time": "2022-12-29T02:18:00.749709Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.859803Z",
     "iopub.status.busy": "2023-12-10T18:43:22.859260Z",
     "iopub.status.idle": "2023-12-10T18:43:22.913942Z",
     "shell.execute_reply": "2023-12-10T18:43:22.913041Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.859779Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<spopt.locate.p_dispersion.PDispersion at 0x161b80790>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdispersion_pre = PDispersion.from_geodataframe(\n",
    "    facility_points,\n",
    "    \"geometry\",\n",
    "    P_FACILITIES,\n",
    "    distance_metric=\"euclidean\",\n",
    "    predefined_facility_col=\"predefined_loc\",\n",
    "    name=f\"p-dispersion-predefined\"\n",
    ")\n",
    "pdispersion_pre = pdispersion_pre.solve(solver)\n",
    "pdispersion_pre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.802161Z",
     "start_time": "2022-12-29T02:18:00.796908Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.916138Z",
     "iopub.status.busy": "2023-12-10T18:43:22.915783Z",
     "iopub.status.idle": "2023-12-10T18:43:22.920941Z",
     "shell.execute_reply": "2023-12-10T18:43:22.920097Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.916087Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A maximized minimum inter-facility distance between any two sited candiate facilities of 6043.265 meters is observed while siting facilities at 3 of the available 16 locations.\n"
     ]
    }
   ],
   "source": [
    "pdispersion_obj = round(pdispersion_pre.problem.objective.value(), 3)\n",
    "print(\n",
    "    \"A maximized minimum inter-facility distance between any two sited candiate \"\n",
    "    f\"facilities of {pdispersion_obj} meters is observed while siting \"\n",
    "    f\"facilities at {P_FACILITIES} of the available {n_fac_pnts} locations.\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.810737Z",
     "start_time": "2022-12-29T02:18:00.805141Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.922270Z",
     "iopub.status.busy": "2023-12-10T18:43:22.921875Z",
     "iopub.status.idle": "2023-12-10T18:43:22.927314Z",
     "shell.execute_reply": "2023-12-10T18:43:22.926744Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.922252Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'y0': 'darkcyan',\n",
       " 'y1': 'mediumseagreen',\n",
       " 'y2': 'saddlebrown',\n",
       " 'y3': 'darkslategray',\n",
       " 'y4': 'lightskyblue',\n",
       " 'y5': 'thistle',\n",
       " 'y6': 'lavender',\n",
       " 'y7': 'darkgoldenrod',\n",
       " 'y8': 'peachpuff',\n",
       " 'y9': 'coral',\n",
       " 'y10': 'mediumvioletred',\n",
       " 'y11': 'blueviolet',\n",
       " 'y12': 'fuchsia',\n",
       " 'y13': 'cyan',\n",
       " 'y14': 'limegreen',\n",
       " 'y15': 'mediumorchid'}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv_colors_arr = [\n",
    "    \"darkcyan\",\n",
    "    \"mediumseagreen\",\n",
    "    \"saddlebrown\",\n",
    "    \"darkslategray\",\n",
    "    \"lightskyblue\",\n",
    "    \"thistle\",\n",
    "    \"lavender\",\n",
    "    \"darkgoldenrod\",\n",
    "    \"peachpuff\",\n",
    "    \"coral\",\n",
    "    \"mediumvioletred\",\n",
    "    \"blueviolet\",\n",
    "    \"fuchsia\",\n",
    "    \"cyan\",\n",
    "    \"limegreen\",\n",
    "    \"mediumorchid\",\n",
    "]\n",
    "dv_colors = {f\"y{i}\": dv_colors_arr[i] for i in range(len(dv_colors_arr))}\n",
    "dv_colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:00.826940Z",
     "start_time": "2022-12-29T02:18:00.813622Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.929377Z",
     "iopub.status.busy": "2023-12-10T18:43:22.928809Z",
     "iopub.status.idle": "2023-12-10T18:43:22.941784Z",
     "shell.execute_reply": "2023-12-10T18:43:22.941130Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.929328Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_results(model, p, facs, clis=None, ax=None):\n",
    "    \"\"\"Visualize optimal solution sets and context.\"\"\"\n",
    "    if not ax:\n",
    "        multi_plot = False\n",
    "        fig, ax = plt.subplots(figsize=(6, 9))\n",
    "        markersize, markersize_factor = 4, 4\n",
    "    else:\n",
    "        ax.axis(\"off\")\n",
    "        multi_plot = True\n",
    "        markersize, markersize_factor = 2, 2\n",
    "    ax.set_title(model.name, fontsize=15)\n",
    "\n",
    "    # extract facility-client relationships for plotting (except for p-dispersion)\n",
    "    plot_clis = isinstance(clis, geopandas.GeoDataFrame)\n",
    "    if plot_clis:\n",
    "        cli_points = {}\n",
    "    fac_sites = {}\n",
    "    for i, dv in enumerate(model.fac_vars):\n",
    "        if dv.varValue:\n",
    "            dv, predef = facs.loc[i, [\"dv\", \"predefined_loc\"]]\n",
    "            fac_sites[dv] = [i, predef]\n",
    "            if plot_clis:\n",
    "                geom = clis.iloc[model.fac2cli[i]][\"geometry\"]\n",
    "                cli_points[dv] = geom\n",
    "    \n",
    "    # study area and legend entries initialization\n",
    "    study_area.plot(ax=ax, alpha=0.5, fc=\"tan\", ec=\"k\", zorder=1)\n",
    "    _patch = Patch(alpha=0.5, fc=\"tan\", ec=\"k\", label=\"Dissolved Service Areas\")\n",
    "    legend_elements = [_patch]\n",
    "    \n",
    "    if plot_clis:\n",
    "        # any clients that not asscociated with a facility\n",
    "        if model.name.startswith(\"mclp\"):\n",
    "            c = \"k\"\n",
    "            if model.n_cli_uncov:\n",
    "                idx = [i for i, v in enumerate(model.cli2fac) if len(v) == 0]\n",
    "                pnt_kws = dict(ax=ax, fc=c, ec=c, marker=\"s\", markersize=7, zorder=2)\n",
    "                clis.iloc[idx].plot(**pnt_kws)\n",
    "            _label = f\"Demand sites not covered ($n$={model.n_cli_uncov})\"\n",
    "            _mkws = dict(marker=\"s\", markerfacecolor=c, markeredgecolor=c, linewidth=0)\n",
    "            legend_elements.append(mlines.Line2D([], [], ms=3, label=_label, **_mkws))\n",
    "\n",
    "    # all candidate facilities\n",
    "    facs.plot(ax=ax, fc=\"brown\", marker=\"*\", markersize=80, zorder=8)\n",
    "    _label = f\"Facility sites ($n$={len(model.fac_vars)})\"\n",
    "    _mkws = dict(marker=\"*\", markerfacecolor=\"brown\", markeredgecolor=\"brown\")\n",
    "    legend_elements.append(mlines.Line2D([], [], ms=7, lw=0, label=_label, **_mkws))\n",
    "    \n",
    "    # facility-(client) symbology and legend entries\n",
    "    zorder = 4\n",
    "    for fname, (fac, predef) in fac_sites.items():\n",
    "        cset = dv_colors[fname]\n",
    "        if plot_clis:\n",
    "            # clients\n",
    "            geoms = cli_points[fname]\n",
    "            gdf = geopandas.GeoDataFrame(geoms)\n",
    "            gdf.plot(ax=ax, zorder=zorder, ec=\"k\", fc=cset, markersize=100 * markersize)\n",
    "            _label = f\"Demand sites covered by {fname}\"\n",
    "            _mkws = dict(markerfacecolor=cset, markeredgecolor=\"k\", ms=markersize + 7)\n",
    "            legend_elements.append(\n",
    "                mlines.Line2D([], [], marker=\"o\", lw=0, label=_label, **_mkws)\n",
    "            )\n",
    "        # facilities\n",
    "        ec = \"k\"\n",
    "        lw = 2\n",
    "        predef_label = \"predefined\"\n",
    "        if model.name.endswith(predef_label) and predef:\n",
    "            ec = \"r\"\n",
    "            lw = 3\n",
    "            fname += f\" ({predef_label})\"\n",
    "        facs.iloc[[fac]].plot(\n",
    "            ax=ax, marker=\"*\", markersize=1000, zorder=9, fc=cset, ec=ec, lw=lw\n",
    "        )\n",
    "        _mkws = dict(markerfacecolor=cset, markeredgecolor=ec, markeredgewidth=lw)\n",
    "        legend_elements.append(\n",
    "            mlines.Line2D([], [], marker=\"*\", ms=20, lw=0, label=fname, **_mkws)\n",
    "        )\n",
    "        # increment zorder up and markersize down for stacked client symbology\n",
    "        zorder += 1\n",
    "        if plot_clis:\n",
    "            markersize -= markersize_factor / p\n",
    "    \n",
    "    if not multi_plot:\n",
    "        # legend\n",
    "        kws = dict(loc=\"upper left\", bbox_to_anchor=(1.05, 0.7))\n",
    "        plt.legend(handles=legend_elements, **kws)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-------------------------\n",
    "\n",
    "## P-Dispersion considering all candidate facilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:01.422822Z",
     "start_time": "2022-12-29T02:18:00.829572Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:22.943033Z",
     "iopub.status.busy": "2023-12-10T18:43:22.942752Z",
     "iopub.status.idle": "2023-12-10T18:43:23.611345Z",
     "shell.execute_reply": "2023-12-10T18:43:23.610661Z",
     "shell.execute_reply.started": "2023-12-10T18:43:22.943014Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 600x900 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 760,
       "width": 763
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results(pdispersion, P_FACILITIES, facility_points)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## P-Dispersion with selection of predefined candidate facilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:01.999810Z",
     "start_time": "2022-12-29T02:18:01.425199Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:23.613242Z",
     "iopub.status.busy": "2023-12-10T18:43:23.612816Z",
     "iopub.status.idle": "2023-12-10T18:43:24.131032Z",
     "shell.execute_reply": "2023-12-10T18:43:24.130283Z",
     "shell.execute_reply.started": "2023-12-10T18:43:23.613216Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 600x900 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 760,
       "width": 763
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results(pdispersion_pre, P_FACILITIES, facility_points)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------------------------------\n",
    "\n",
    "## Comparing all models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:02.491997Z",
     "start_time": "2022-12-29T02:18:02.001995Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:24.135960Z",
     "iopub.status.busy": "2023-12-10T18:43:24.135674Z",
     "iopub.status.idle": "2023-12-10T18:43:24.612351Z",
     "shell.execute_reply": "2023-12-10T18:43:24.611297Z",
     "shell.execute_reply.started": "2023-12-10T18:43:24.135943Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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j/d577/ksazKZxNjYWHe5iIgIsba21u84H3roIb9/773PZ8qUKV53RvsynNe6d2z9Vd4vXLjgUQmXyWTiqVOn/DpGzzv/AzV2fP09/vSnP/XrOC+88MJlbUdERDQasE56CeukrJP2hXVST70TyjKZzO+//euuu85j2+9+97t9lvWVUP7lL3/pd5zPPvusx7aPPPKI39tWVlaKKpXKve21117rs1xHR4fH5+Bg3hubN2/2Or/+EsojcT7dApVQHo73+/Hjxz3KLl682K/vOFF03azreVMzNja2z5tavW+y/vGPf/TrGM8995zXdWBCuX9SEJGHJ598ElLpwH8aKSkp+OY3v+mx7pVXXhnSWP71r395LD/66KPQaDQDbhcWFoZHHnlkSGPpS2Nj47Du/9FHH0VoaOiA5UJDQ/Hoo496rOvr9/HWW29Br9e7l7///e8jMTHR75h++MMfeix3jy/ljx/84AeDGqOsp+G+1n157bXXIAiCe/m2224bcNyqbk899RRUKpV7effu3aioqPBr25CQEK9r3ZfNmzd7LJ86dcqv7YiIiEYr1kkHh3VS1kn7Mx7qpDfccAPmzJnjV9lf/epXHsv/+te/PK5tfzQazaDGHP7jH//o/n9oaCh+/vOf+71tamoqbrvtNvfyjh07PMbF7vbee++hs7PTvXzTTTf5/d7ofS0GMhLnE0jD9X5//vnnPZaffvppv77jANc4zt/73vfcy3q9HocPH/YqV15ejv3797uXExIS8OCDD/p1jIcffhixsbF+lSUXJpSJeoiKisKGDRv8Ln/XXXd5LB84cGBI4+m5P4lEgttvv93vbe+66y5IJJIhjQcAYmJiEBMT417+z3/+4/GhPZQkEgnuuOMOv8vfeeedHud88OBBj8kCun3++ecey4O5rgCQlZWFtLQ09/Jgzv/666/3u+xIXuv+9H5f33PPPX5vGx0djWuuucZj3cGDB/3advHixYiOjvarbHp6ukfDNlANHSIioqHAOunAWCdlnZR1Uk+9Pwf6M2PGDEyfPt293N7e7jEBWn9WrVqFiIgIv8oWFRV5TNC3adMmv27M9D5eN6vVimPHjnmV6f3euPPOO/3e/6xZszBt2jS/yo7U+QTScL3fe05qmpCQgBUrVgwqrp7XDfD9edf7fXDbbbdBJpP5tX+FQuGR7KeByQMdANFoMnfuXMjl/v9ZzJo1C2q12j3DcF5eHmw2m/tuf1tbG9ra2vzaV2RkJCIjI93LbW1tKC0tdS/n5OQMaobs2NhYZGZmes1seqW6K9QvvPACAMBsNmPVqlW45ZZbcMcdd2DNmjWD/lLtS3Z2tkfldSAxMTHIyspyX7eWlhZcvHjRPet4t55fNEqlEiqVCuXl5YOKLTo62l2Z6Pl76k9KSsqg7nqO5LXuz5dffumxvHjx4kFtv2TJErz//vvu5ePHj/tV4Z06deqgjhMZGQmTyQTAVSkmIiIaq1gnHRjrpC6sk/pvNNVJm5qaPHrU9icmJsav67tw4UL/g+wq3zOJfPz4ccycOXPA7WbPnu33MXon+NLS0gb9Hu/di7W0tBTLly/3WNf7vXE51+L8+fMDlhup8wmk4Xi/l5aWoq6uzr2ck5Pj9xMC3Ww2m9c+exuK98Gf/vSnQW0znjGhTNTDxIkTB1VeLpcjIyMDhYWFAACn04nm5mb3o2p/+MMf8NRTT/m1ryeeeAJPPvmke7mhocHj5xMmTBhUbIDrfIa68g64HsH87LPP3B/iTqcT77zzDt555x3IZDLk5uZi8eLFWLZsGa666qpBPbrX02B/H4DrOvX8cmlsbPSovAuCgNraWveyzWbzqtwPVktLi1/l4uLiBr3vkbrWfbHZbB4Vg9jYWERFRQ1qH5MnT/ZY9renxmCPo1Ao3P+32+2D2paIiGg0YZ3UP6yTemKdtH+jqU76ox/9CK+++qpf+3v55Zdx//3391tGo9EgOTnZ7xgB779lf6/HYN4/VVVVHsvPPfccnnvuOb+398XX+7zn55RGo0FSUtKg9unv3/hInU8gDcf7vfd1O3DgADIzMwcfXA8DvQ+AwX9fXc5n/XjGIS+IeggPDx/0Nr0f9xmqL4TW1laP5aGIbajodDocPnwYN998s9fPnE4nTpw4gRdeeAF33HEHkpOTsWTJErz00kuDTvINx++jtbXV7/HB/GUwGPwqFxYWNuh9j9S17kvv9+HlvKcu92/E3zG1iIiIgg3rpP5hndQT66T9C+Y66Uh+Zgzm/dPc3DyomPzh633e8/0xnJ9RI3U+gTQc7/dAvA+Awb8Xhuu7KliN/k9GohE0FOO7DccYccO538sVGxuL//znPzh79iweeeQRzJgxw2eMoiji8OHD+PrXv44ZM2bgzJkzfh9jOH4fvR+VGQtG4lr3pfd4f6P5b4SIiChYjObv29H2Pc466chhnXT0Gq3XYzje577GI+9pOH+vgTifYBCo6xZMf+OjERPKRD1czrirvbfp+YjIk08+CVEU/Xr1fLSw936GKrbhMH36dDzzzDPIy8tDS0sLtm3bhp///OdYvny519h/RUVFuPrqq1FWVubXvof69wHAa8y/iRMn+v076u81EobzWvel94QMw/E7ISIiIk+skw4e66Sskw5kNNVJX3nlFb9/pwMNdwGM3uvRe+zxN99884rf470/o3rHPpyfUSN1PsGm93X75je/ecXXbc+ePV7HudLvK87DMzhMKBP1UFxcPKjyDofDYxB+mUzm94yoA+k9NlVJScmg9zHY87lSkZGRWL9+PX75y19i3759aGhowLPPPuvx6EhzczN+/vOf+7W/y4m/93XqfR2VSqXHF01ZWdmYHG93qK91X5RKpcc+Gxsb/Z7Up1tRUZHH8uWM20dERDSesE56ZVgnHTmsk44OJpMJNTU1g9pmoPfoUIiPj/dYHq7Pgp7HMZlMHuOT+8PfuEbqfIJNIN4HwOC/r/j7HBwmlIl6OHHiBBwOh9/lz5w5455NGwBmzpwJlUo1JLFERUV5TMxx4cKFQY09pNfrr7gnwJWKjo7Gj370I2zfvt3jcZOPP/7YrzHjSktL0dTU5PfxmpqaPCZ8iY6ORlZWlle5JUuWuP9vt9t93t0ca670Wvdn3rx5HsuHDx8e1PaHDh3yWJ4/f/4VxUNERBTsWCcdWqyTjhzWSQPnyJEjgyp/9OhRj+XhuB493+MAsGPHjiE/BuD93rjSa9GXkTqfYDNt2jSPG0KHDx8elrGjR+p9QC5MKBP10Nraim3btvld/s033/RYXrZs2ZDG03N/oiji7bff9nvb7sdvRoOFCxdi+vTp7mWDweBXpXyw5/zWW295nPPSpUt9jpu0fv16j+W///3vfh9jtLvca92f3u/rN954w+9tW1tbsWXLFo91S5cuvaJ4iIiIgh3rpMODddKRwzrpyHvrrbf8Lnv27FmcO3fOvRwREeHx+xoqc+bM8Rju4PDhwx7HHSq93xuDuRZnzpzB+fPn/So7UucTbGQyGa6++mr3stVqxWuvvTbkx+n9Pnj33XfhdDr92tZut+Pf//73kMcUzJhQJurlySef9OvueXV1Nf72t795rLvvvvuGNJb/+q//8lj+zW9+A5PJNOB2BoMBv/nNb4Y0livVezw1f3vNPPPMM+js7BywXGdnp9c59/X7uPfeexEZGelefvfdd/HFF1/4Fc9YcLnXui/33HOPx2y/77zzDs6ePevXtk8++SSsVqt7eeXKlUhPT7+ieIiIiMYD1kmHB+ukI4d10pH14Ycf4uTJk36V/dnPfuaxfO+993pc26EilUrx0EMPuZdFUcTDDz88qCcw/HHTTTchNDTUvfzBBx/4PRlk72vRn5E6n2D03e9+12P5qaeeQl1d3ZAeIyMjA8uXL3cv19fX4y9/+Ytf2z7//PPQ6/VDGk+wY0KZqJcTJ07g0Ucf7beM2WzGXXfd5VGpXLp0KebOnTuksaxevRozZsxwL1dWVuIb3/hGv40Lp9OJr3zlK4MeN8pfp0+fxgcffOD3nT4AyMvL8/hCT0xM9HjkpT/V1dX42te+1u85C4KAr33ta6iurnavy8jIwPXXX++zfGRkJH784x97rLvllltw4MABv2Lq5nQ68f7776OlpWVQ2/lrpK91X3JycnDddde5lx0OB+64444Be5n85z//wQsvvOCx7oc//OEVxUJERDResE7aP9ZJL2GdlHVSwPU+uPvuuwe8Hi+88AI+/vhj97JMJsO3v/3tYYvrhz/8oUev3t27d+MrX/mKxzA9/qisrMRnn33m82fh4eEekxd2X4uB/ib+8Ic/ePVcH8hInE8wWrlyJdauXetebmxsxKZNmzw+L/1hMBi8nsrp6Xvf+57H8k9/+lN8+eWX/e7z0KFD+MUvfjGoOAiASDSO7d69WwTgfkVFRbn/f9ddd4nV1dVe2xw7dkycO3eux3ZKpVI8e/bssMR4+PBhUSqVehxvw4YNYnFxsVfZgoIC8eqrr/Z5PgDEsrKyPo/T+1o88cQTPst98MEHIgAxPT1d/PGPfywePHhQtNlsPsva7Xbx3XffFRMSEjz2/dhjj/ksX1ZW1ufvY926dWJRUZHXNkVFReLatWs9tgMgbt++vc9z7Y5t3bp1HtvIZDLxoYceEgsLC/vczmaziQcPHhQfeeQRMT09fcDr2nP/K1as6Dem3obzWg82tsrKSq/3U05Ojrht2zZREASPsh0dHeIvfvELUaFQeJS//fbb+z2Gv+/BvnT/PrqvGRER0VjBOuklrJOyTtof1kl9H0er1brPc8KECeLnn3/uVb65uVn83ve+J0okEo/z++lPf9rvcV5++WWP8i+//PKgY/3iiy9EuVzusZ8pU6aIr7/+umg2m/vcrra2VvznP/8pXnvttaJMJhPvu+++Psu2traKSUlJHseYOHGiuHPnTq+yzc3N4ne/+133tej9nhroHEfifERRFO+77z6/Pzsvd7uRfL/X1taKKSkpXp+vzzzzjKjX6/vcrqOjQ/zoo4/Er371q2JYWNiAx9m0aZPHMSIiIsS//vWvotVq9ShntVrFP/3pT2JYWJjP98FAv5/xzvMZFKJx7oEHHsC2bdtw+vRpvPnmm3j77bcxf/58pKenw2azoaCgwGt2YMD1eMRwjDkFAIsWLcLTTz+Nxx57zL1u27ZtmDhxInJzc5GTkwNRFHHhwgWPXgCbNm1CTEwM/vWvfw1LXBUVFXj22Wfx7LPPQqlUYurUqUhOTkZkZCScTifq6+tx6tQptLe3e2w3efJkvx8ruvbaa9HU1IRPP/0UO3bswKRJk/o9524/+clPsG7dun73LZfL8e9//xubNm1yT9DhdDrx5z//GX/+85+RnJyM6dOnIzo6GoIgoKOjA9XV1SgsLBzxGbhH4loPJDU1Fa+99hpuvvlm9+OCFy5cwIYNG5CSkoLc3FyEhYWhrq4OR44c8bpDn5ubi7/+9a9DEgsREVGwY53Uf6yTjhzWSUevmJgYPPTQQ3j00UdRUlKCtWvXIj09HTNnzoRWq0VNTQ2OHDni9Z5ZsWIFnnjiiWGPb/Xq1XjllVfwta99zf17KygowD333IOvfvWryM3NRVJSEkJDQ9HZ2YmWlhYUFhaisbHR72NERkbijTfewMaNG92/9+LiYqxZs6bfa5GamoqHH37Y62mBQJ9PMEpMTMSWLVuwadMm99Mrra2tePTRR/HYY49hypQpyMrKQkREBKxWK9ra2lBaWory8nKPcemjo6P7Pc4//vEPLF261D0hbHt7Ox544AE8+uijWLhwIaKjo9Hc3IyjR4+6P68UCgWef/553HvvvcN09kEooOlsogDzdTeutrZWnDFjhlfvAl8vhUIh/uUvfxmRWJ9++mmvXiF9vVauXCl2dHQMy53J7h4Kl/NaunSp2NDQ0GcMvXuD3HfffWJHR4e4atUqv/YvkUjExx9/fFDX1WaziT/4wQ9EmUx2Week0WjE2traPvffs+zl9gYZjmt9ubHt27dPjIuLG1Qs11xzjdjR0THgvsdKbxAiIqKhxjpp/9fCF9ZJWScd73VSX8f50Y9+5Pf1WL9+vWg0Ggc8zlD0UO52/PhxMScn57LfT9///vcHPMaOHTvE8PBwv/aXmpoqnj9//rLPcbjPJ9h6KHdraGjwejJjMK/c3NwBj1FRUSFOmjTJr/2pVCrx3Xff9fnZT33jGMpEvSQmJuLIkSP4xS9+geTkZJ9lZDIZNmzYgNOnT+Nb3/rWiMT1k5/8BEeOHMGKFSt8zhINuMYV+93vfofPP/8cYWFhwxLHunXr8P777+PrX/86cnJyBiwvkUiwfPlyvPHGG9i/fz/i4uIGdbywsDDs2LEDv/vd7/o8nkQiwZIlS3DgwAH86le/GtT+FQoFfvvb36K4uBgPPvgg4uPjB9xGp9PhpptuwiuvvIKGhgYkJiYO6pj+Gulr7Y/ly5fjwoULeOKJJ/r8+wBcE1YsWbIEW7ZswZYtW4bt/UhERBSsWCftH+ukrJOyTurt2Wefxccff4ylS5f2WSY7Oxv//Oc/sW3bNmg0mhGMDpg3bx4KCwvx+uuvY/HixV4TN/YmlUoxe/ZsPPLIIzh58iR+//vfD3iMtWvXorCwEPfeey/UarXPMtHR0Xj44Ydx+vRpTJ069bLOBRiZ8wlGcXFx2L59O/bt24cbbrgBWq12wG0yMzPx9a9/HZ999tmAYyIDQFpaGs6cOYMnnnjCY8zrnpRKJW6++WacOHECt9xyy6DPY7yTiGKPfuNE48yePXuwatUq9/ITTzyBJ5980r0sCAIOHz6Mixcvora2Fmq1GsnJybjqqquGpWLkr+rqahw8eBA1NTUQBAFJSUmYOHEi5s2bN+KxNDc34/z58ygrK0NzczNMJhNUKhXCw8ORk5OD3Nxc6HQ6v/ZVXl6OzMxM9/J9992HV155xaPMiRMnUFRUhNraWkilUiQlJWHJkiVIS0sbsnMqKChAXl4empub0dbWBrlcjvDwcKSmpmLy5MnIysrqswE1nIbyWg+Vc+fO4cyZM2hqaoLRaIROp0NiYiKWLl064rEQERGNVayTXjnWSUcO66SjQ0ZGBioqKgAA6enpKC8v9/h5WVkZTpw4gdraWpjNZiQkJGDmzJmYPXt2AKL1zWAw4MiRI6iurkZLSwssFgtCQ0Oh0+kwYcIETJkyBeHh4Ve0/927d6OqqgoGgwHx8fFIT0/HsmXLoFQqh/BMLh1vOM8nWDkcDnz55Ze4cOECmpubYTAYoNFoEBERgaysLEyZMgUJCQlXtP8DBw6gpKQETU1NiIqKQnJyMpYtW4aoqKghPJPxhQllGtcGqrzTyPKn8k5EREQUbFgnHV1YJ6WxYKCEMhHRcOKQF0RERERERERERETkFyaUiYiIiIiIiIiIiMgvTCgTERERERERERERkV+YUCYiIiIiIiIiIiIivzChTERERERERERERER+YUKZiIiIiIiIiIiIiPzChDIRERERERERERER+UUiiqIY6CCIiIiIiIiIiIiIaPRjD2UiIiIiIiIiIiIi8gsTykRERERERERERETkFyaUiYiIiIiIiIiIiMgvTCgTERERERERERERkV+YUCYiIiIiIiIiIiIivzChTERERERERERERER+YUKZiIiIiIiIiIiIiPzChDIRERERERERERER+YUJZSIiIiIiIiIiIiLyCxPKREREREREREREROQXJpSJiIiIiIiIiIiIyC9MKBMRERERERERERGRX5hQJiIiIiIiIiIiIiK/MKFMRERERERERERERH5hQpmIiIiIiIiIiIiI/MKEMhERERERERERERH5hQllIiIiIiIiIiIiIvILE8pERERERERERERE5BcmlImIiIiIiIiIiIjIL0woExEREREREREREZFfmFAmIiIiIiIiIiIiIr8woUxEREREREREREREfmFCmYiIiIiIiIiIiIj8woQyEREREREREREREfmFCWUiIiIiIiIiIiIi8gsTykRERERERERERETkFyaUiYiIiIiIiIiIiMgvTCgTERERERERERERkV+YUCYiIiIiIiIiIiIivzChTERERERERERERER+YUKZiIiIiIiIiIiIiPzChDIRERERERERERER+YUJZSIiIiIiIiIiIiLyCxPKREREREREREREROQXJpSJiIiIiIiIiIiIyC9MKBMRERERERERERGRX5hQJiIiIiIiIiIiIiK/MKFMRERERERERERERH5hQpmIiIiIiIiIiIiI/MKEMhERERERERERERH5hQllIiIiIiIiIiIiIvILE8pERERERERERERE5BcmlImIiIiIiIiIiIjIL0woExEREREREREREZFfmFAmIiIiIiIiIiIiIr8woUxEREREREREREREfmFCmYiIiIiIiIiIiIj8woQyBa2Kigr87W9/w4EDBwIdChERERERBSG9Xo9//vOf+OyzzyCKYqDDISIiGhFMKFPQOnToEGpqqrFz5060tLQEOhwiIiIiIgoyJ0+eREVFOY4ePYrS0tJAh0NERDQimFCmoGWz2eC0WSAKTpw+fTrQ4RARERERUZCx2WwQnHYIDjvbHERENG4woUxBToTDZsbp06chCEKggyEiIiIioiBktxpRWFgIs9kc6FCIiIiGHRPKFPQcViM6Ojpw8eLFQIdCRERERERByGE1wm634+zZs4EOhYiIaNgxoUxBz+mw8RE0IiIiIiIaNqIowGk3s81BRETjAhPKNC7wETQiIiIiIhpODosRtbW1aGhoCHQoREREw4oJZRoX+AgaERERERENJ4fdAkFw4tSpU4EOhYiIaFjJAx0A0Ujo+QjaggULAh0ODcDpdMJgMKC9vR3t7e3o6Ohw/99gMEClUiE0NLTPl0ajgVTK+2VERERENLIcViPy8vKwdu1ayGSyQIdD/RAEAZ2dnT7bHB0dHZDL5f22ObRaLX/HRDRuMaFM44IuOhLthkuPoMXHxwc6pFFLFEVUVlaira0NWq3W4zVcFSaz2Yzi4mIUFBSgtrYWBoMBoii644EoQBCcELtekEgglcogkcggkUoBiRQSicS9P4lEAq1W67PS13udWq322Ja82Ww2FBUVoa6uDrGxscjJyUFYWBgAV0Vcr9cDAGJjY5nIJyIionFLFx2J1vZOGI1GFBcXY8qUKYEOaVSrr69HQ0MDNBqNR5tDLh+eNIXdbseFCxdQUFCAyspKdHR0QBAE989FQYAoOCEIDnebo7u9IZHKIOnV5gAAjUbTb9K5+xUSEsI2xwCcTicuXLiAyspKREREYMKECYiKigLgahM2NzfDZrMhPj6eiXyiUYAJZRoXpk+egL2HjkMQnDh9+jTWr18f6JD85nA4sHfvXhiNRkydOhVZWVnDlrRrbW3F1q1bUVJSAgBelZ6QkBCvJHNfr4EStZ2dnSgsLERBQQHKysrgdDohOGxw2i1dFTknRMEB0emECNG9nUQicSebe5JIZV1JZleFz2psQ2uTtKsS6FkR7Ekmk/lVCQwNDYVCobiSyzumCIKA0tJSnD17FoWFhbBarRAFByRSOSQSCSQSCZRKJZxOJxwOBwDX+yMjIwOZmZnIzMxETEwMK85EREQ0brjbHE4bTp06NaYSyqIo4vDhw6ivr8ekSZMwadKkYUvsmkwmbN++HWfOnIEoil71RZVK5XebQ6PR9FvftFgs7o4rFy5cgM1mg+C0u9ocTkePTisOjzZGn22OrrZGd/vCZmpDe3Pv9oasKxl9KS6pVOp3m0OpVA7BVR4bRFFEVVUV8vLycP78eZhMJo82h0wmc/9rtVoBAEqlEmlpacjMzERWVhbi4+PZqYUoAJhQpnFhyqRsHDx6Eg6rEWfOnMGaNWvGxF1Ni8WCt99+G2VlFyE6nTh58iTCwsIwa9Ys5ObmIiYmZkiO43Q6ceTIEezZswdWixlWYysEu9VdKYJEColUCqtRhvaWHnfoPf71rMhJpVKflT6lUomysjJUVVVBEAQIDiscVjMcdjNEwQm1SoWoyHCEhWoRFqpFeFgowsK6/tVqoNVqYLc7YDSZYTSZuv41w9T1MrpfJhiNnXD26HUAoCsZ2qPCJ5XBbGhFU4/lvs6pv6E2YmJikJKSMqYTqKIooqamxl2hMxqNEBx2OGxGOKwmCIITEokUMoUaMqUadqsUTrsFgsMGQAKbSYVzHW3Iz8+HRCJBaGgoMjMzkZOTg2nTpg1bo4SIiIhoNEhPTUJYqBYWixEXLlyAwWBwP9U1mjmdTnz00Uc4c+YMBKcdZ86cgUajwfTp0zF79mwkJiYOSR1XFEWcOXMGO3bsgLHTAJupHXar0bP+3dXmMLRJ4dU72Ef9vPvJRF+dW6qrq1FWVgaHwwHBYYPDZobTZoYgOKBUyBEdGeFqc4RpER4airCwUISFahAeFopQrQaCIFxqWxi92x6u9oYZRpMBDqfTMy5IPNobEokUls5WNHcnnt2dXrzPSalU9vmEZXR0NNLS0sZEW7Y/er0eeXl5OHv2LNra2iA4HXDYTK42h9PuSiIr1JAp1JDK5HDaLXA6bIAowipXobCzHSUlxZBIpO5OLVlZWZgxYwbUanWgT49oXGDrnsYFtUqFnKx0FF+sHDOPoHV2duL1119HXW0NLIYmOB02SGUK2C0G7N/XhgMHDiA1NRW5ubmYNm3aZX9x1tTU4JNPPkFdXR3slk7YTe0IDdVg9ry5sNsdMJnNMJktroSt2QKT2QSrze61H69ErUQGS2crWnpVECGRdlXoTHDaLBBFARFhoZgwZQomZKcjKSFuwDvMSqUCSqUCUZHh/ZYTRREWq81d2TP1TDa7K4auZbPJ6tULoWfcEomsq3Kr79Eb2nPIjYiICMyYMQMzZsxAXFzcmEkuNzc3uyt0LS0tXhU6tUqFGVNykJGegsbGZlysqEKDvhkAoJDLMSEzDU7Biarqepg7OiCBBFKFCjZzB9rbXPv+/PPPsWjRIsybN4+VPCIiIgpKEokE0ydPwJETZ+B0OpCXl4elS5cGOqx+2Ww2/Pvf/0ZJSQmsnc1w2MyQSuWwW7Q4esSA48ePIy4uDrm5uZg5cyZCQ0Mv6zjNzc3YsmULLl68CIfNBJuxDSqlHPMXzAaAXu0NM0wmCyxdPVJ78m5zSF1PJvaqt0Mqhei0w2Ezw2FzdVzRhKgxdUo2JmRnIC0lccCkrFQqRUR4GCLC+78pIIoirDZbj7aFGaYeyWej0QyTuftnBh9tDom7/SSRymCVStHZ3uTVCaZ7yA2NRoNp06ZhxowZSE1NHTNtjo6ODpw7dw55eXmor6+HKDhdvx+rEU6HDQq5HJOy05CTlY629g5cLK9GXX0jhK7rNSErHXK5DFU19eg0NAEAZHIlbCY1znW0Ij8/Hzt37sT8+fOxcOHCMXEzh2gsk4i+nuMgCgKvvvoqSgrPwdLZgu9/6z5U19bjPx9vR0hEHKZOm4k777wz0CH2qaWlBa+99hqam/SwGJqgUsiwdOEclFdW42J5FQRRhFwZArlKC5lCDaVSiSlTpiA3NxeZmZl+VSqsVit27dqFY8eOwWG3wtrZAlFwYPaMKVi2eC5U/TxqZbc7YLZ4V/ouJZ8tHono3r2EAdcYcxOzMjAhOx1xsbqAV4ScTifMZkuPHs49ex1cWjaZzD4T6jK5EnKVFnJlCCRSGeLi4jBjxgxMnz7dPfbXaNLZ2emu0NXW1kIUBFcS2WaC026FXCZDdmYapkzMRmZ6slfv4s5OI4wms8fvThRFNOqbUVldh8rqWlTX1sNmd0AqlUMREga5ytVbZN68eVi0aBEreURERDTmffLJJzh29BDM7Y24744boFAo8I/X3oU6NBoJyen49re/HfB6bl9MJhPeeOMNVFdVwdLZBIngwFVL5qG+sQklpRWwOxyQKdRQqLSQKUMgk8kwYcIE5ObmYuLEiX71knU6nTh06BD27t0Lm9UMq7ENTrsFkydkYfXyhdBqNf1u6yvR7N3hxbW+dy9hAAgP02JCVgYmZGcgOXHgjivDTRAEmC3WSz2ce3Vy6ZmE9pVQl8oUkKs0kCs1kMrkiIyMxPTp0zFjxoxROU+QxWJBQUEB8vLyUF5eDkFwwmmzwGE1wmG3QCKRICM1GVMnZSMnKx1KpecQg2aLFW3tHYiLiXa/30RRREtru7vNUVldB4vVColECkVIGBSqUMgVCsyaNQtLly6FTqcLxKkTBT0mlClo9U4oy2RS/O3Vf8NiB0LCY/CDH/zgsu+wD6e6ujq8/vrrMHS0wdKhR6hWjVuu2wBddCQAwGg0oaD4Is7mF6OppRUSqQxypQYKlRZSuQIRERHIzc3FrFmzEB0d7fMYhYWF+PTTT9He3uZ61MzSibiYaKxbvQyJ8bFDej7dd+y7K39msxXRURHu8xmLXENuXKrwdRpNKCuvQnllDQRRhEyh7qrohUAikSI1NRUzZszAtGnToNVqAxa31WpFYWEh8vLycPHiRQiCAKfN7O4tDgmQlpKIKROzMSE7HWqV6oqO53Q6UVuvx8kz51FysQKAxKOSl5mZicTERPcrMjJy1Da4iIiIiHzpnVCOi9Xhrfe2ok7fipDwOHz9619HSkpKoMP00t7ejtdeew2NjQ2wdOihlEtwwzVrkZqcAACw2mwoKinDuYIS1NQ1QCKRQK7UQK7WQipTQqvVYubMmcjNzUVCQoLPY1RVVeGTTz5BQ0MD7BYD7KYOhIdpsWblEmRlpA7p+YiiCJvd3qPNYUFYqHZUdFy5XA6HA6buDi9GEzqNJlTV1KO0rNKV7O/VoSU+Pt7doSUyMjKgcZeUlODs2bMoLi6G3W6H026Fw2aE02aGKIpIjI/F1EnZmJST2e9NBX90d2o5c64Q5wpKXJ2vVKFQhIRBJpMjPT0dSUlJSEhIQGJiInQ6XcBvLBAFAyaUKWj1TigrFHIcOHwCR06cgSYqCevWrR91j6CVlZXh7bffhqmzAxZDE3RREbjl+vUIC/VOQoqiiIbGJpwrLEFB0UVYrNYelQoNJFIp0tPT3UNiKJVKdHR04LPPPkNBQQEcNjNsxlbIpBIsWTAbc3OnjfmxuALNaDKj+EI5CopLXRVvSCBThkCu0rjGAJPJ3GN7TZ48GaorTNj6w+l0orS0FHl5eSgqKnJNROKwwmF19UYWRRHxsTpMmZiNyROzfL7XhkJLazu+PHXWo5InU6gglSncY8ep1Wp3Ra/7xQofERERjWa+EsrnCorx2c790EQmYv6Chbj22msDHaaHxsZGvP7662hrbYGlQw9NiBK3XLcesTG+O6O0tLbjfGEJzhdegKHTCKlM7mpzqLSQSmVISEjA7NmzMWPGDGg0GlgsFuzcuRNffvklnHYrrMZWiIID83KnYcmCOV69UGlwrDYbSi9WIr+oFBVVrg4t8q4OLbKuDi1paWnuDi0azZUlbP0hiiIqKiqQl5eH/Px8mM1mCE77pTaH4ERURDimTMrGlInZiI6KGJY4OjuNOJmXj9NnC2C12V296xVqSOVKd5tDoVC42xzd/8bFxbEtTDRITChT0PKVUG5t63A/gpaYkoGHHnpo1Nyxzs/Px3vvvQeruRNWQzOSEmJx47XrEKIeOOnocDhQWl6Fc/nFKKusAUR0JTK1kClUUKlUyMnJQWlpKcxmE2zGVjhsZmSmpWDNysWIjOh/LGIavPYOAwqLLyK/qNTVk1widQ9TIpUroVQqMWnSJMyYMQM5OTlDVoFxOBxobm5GU1MTysvL3bMlOx02jwpdRFgopk7KweRJWYiJHrkhOYxGE06cOY+z+cUwmS0AXGNVS+VKyOQKSGVKSOUK98zOCoUC8fHxHknm2NhYTvBHREREo4KvhLLNZsdf/vkmINcgLCoOP/rRj6BQjI4kalVVFd588010Gtph6dAjMiIUt16/YcBxggHXcA2V1bU4m1+CCxcr4HA6uxKZriEx5HI5JkyYgJqaGnS0t8Nmdj0JmRAXg3WrliI+bmgmFKdLjCYzii6UobCoFDX1jT47tGRnZ7s7tCj7GdZwMJxOJ1pbW9HU1ISqqiqcO3cO7e3trrlYrEY4bCYITgc0IWpMnpCFqZNzkBAXM2Jtb4vVirxzRTh9tgDthk4ArrGqXW0NV3tDJlNCInO1OWQy15CFPTu3xMfHD9n1IgpGTChT0PKVUAbg8Qja/fffj4yMjMAGCuD48eP49NNPYbN0wtrZguyMVFy7YbU75sHo7DQiv6gUZwuK0dLaDolUBoVKC7lKA6fdCpupDSFqFVYvX4TJE7NGTUI9mOmbWlBQXIqC4lJ0GIyQSmWQKTWQqzSQyhTQaDSYOnUqZsyYgfT0dL9+J2azGXq9Hk1NTR6v1tZWiKLoeglOj8n1QtRqTJqQiamTspGUENhJA0VRhKHTiIbGZjTom9Cob0aDvhmdRhOA/it8UqkUcXFx7speQkICEhISWOEjIiKiEecroQwA23bux/miUoREJuK6667D3LlzAxwpUFxcjHfffRcWkwEWQxPiY3W46dp10GpCBr0vi9WKwuKLOF9Ygtp6vavzhEoDuUoL0emA1dQGhUyCZYvmYvbMqXzibAS0tXegsMTVoaW5pa2rQ0tXm6NHh5aZM2ciOzvbrw4tVqvVq73R1NSElpYWOLvGrO7Z5nA6bFAq5MjJSsfUSTlIT00K+O/eaDShQd+MxqZmNDQ2o1HfjLYOAwC4JhPv0alFKle6nqCUSCCRSKDT6Tw6tiQkJCAkZPB/L0TBiAllClp9JZS7H0ELiYiDNjQCt99+OzIzM4fsuHa7HWVlZaioqEBiYiKmT5/eZ1lRFLF3717s2bMHdrMBVlMbpk+ZgPWrl13xF68oiqhr0ONcQQmKSi7CYrUBAGZOnYirli7wq+czDS1RFFFT14CC4osoKimD2WJxPTKo1HYll+UIDw93T6yRkJCA9vZ2n4ljo9Ho3qcoOCA4HRCcdohd/wpOB0RRgEIuR3ZmGqZOykZGWvKof5TLaDShsakFDfomNDQ2Q9/Ugtb2DgA9K3xdlb0+Knw9exawwkdERETDqa+EcnVtPd56byvUoTqoNGG4/vrrMXPmzCE7rtPpRFVVFUpLSxEWFob58+f321ng9OnT+Pjjj2Ezd8LS2Yz01CRcv+nqfifi9ldTSyvOF7iGxDCazACA7IxUrFm5BOFho2/OmmAniiKamlu9OrS4hsTQQCZXIiQkBNOmTcOMGTOQlpYGg8HgM3Hc0dHh3qcoOF1tDKfd3d4QnHaIogCpRILM9BRMmZiN7My0UT+sidliRaPe1dZo0DehQd+MltZ2dKfHpDIFZF0dW9xPUEpc7fPIyEivJDMnG6fxiAllClp9JZQdDgfe+eBT1DU0QRWqgyokFNdddx1mzpx52T02Ozs7UVJSgqKiIpSWlsJud33BSmVyfOMb30BycrLXNg0NDdi7dy/Onz8Pu7kdNrMBC+fOxPLF84a856jd7kBldS1CtRo+ajZKOJ1OVFTVoqC4FBcuVsBm755YQ9M1BrYMMpns0p1/UehRgeuRNHY6IML1Ma5UyBEdFYnoqAhER0VCFx2J9NSkIWkoBJLFakWjvgWNPXoWNLe2eVT4unsxu5PMUs8KX88kc2hoKHvmExER0ZDoK6EsiiI+2bYbRRfKoNJGQaEOxerVq7Fs2eV3HLFYLLhw4QKKiopQUlICi8UCwemARCrDrbfe6rMjS1tbGw4ePIjjx4/DbumE1diKyROysGntVUPe0UAQBFTV1LkmpU5OYH1rFBBFEdW1DSgoLkVRSRksViukMoW7zSGVyXu1OUSPDipCV/JYFBzuurdcJkNUZERXmyMCuugopKUkXlZP99HEbndA39zS1YvZlWRuam6FUxAAAFKZ3J1clrnbHK6/odDQUK8kMyccp2DHhDIFrb4SygBgs9mxZftulJZXuSt40dHRmD17NmbNmoXw8P7HFBZFEXq9HkVFRSgqKkJNTQ0EQYDgsMFhM8NpN7vGjIpMxOIlS7Fx40b3dpWVlThw4ABKSkogOB2wmdrhsJmwatlCzJvdd29mCl42mx2lZZUoKC5FWUU1BFF0TR4hk19KIgtOd3mtJgS66EhX0jgqwp1ADgvVjptKS88Kn77JNVyGvqnlUoVPKr80XIaPCl/vyf9Y4SMiIqLL0VdCGXAlWHfuPYwz5wqhDAmHIiQcYWFhyM3NRW5uLmJiBu7o0draiuLiYhQVFaG8vBxOpxOC0w6nzQyHzTXxWUh4HCZPnY67777bvV1DQwMOHjyIc+fOwemww2Y2wG4xYM7MqVh91SLWe8Yhp9OJ8sqarg4tlbA7HF29cFWXOq0IDnd5tUoFXXR3eyOyK3kcifCw0IAPYzFSnE4nmlva0KDvGqavsRn65hbY7K7rJJXK3B1aup+glEik7gnHeyaYOeE4BRsmlCkoiaKI5557Du0tjT4TykBXBW/PIZw5XwSZXNU1U3EIpFIZcnJyMHv2bEycONE9+ZfT6URlZaU7idza2gpREOC0W+Cwm+G0WSCKAjQhamRnpCG/6AJk6nDo4pLw3//93yguLsaBAwdQXV0Np8MGu9kAh80EtUqFNSsWY8qk7EBcKhplTGYLii+UoehCGYwmM6IiwruSx5cqcmoVhyvxpbvC192L2ZVkbu67wteVZO6u8PVMMickJCAmJoYVPiIiIurXSy+9hPKyCz4TyoCrXXL0xBnsP3wCUpnCPbeJRCpDWloaZs+ejalTp0LVVb8TRRG1tbXuNkdDQwNEUYTTboHT5mp3iIITKqUCmempqKqpg80pQ0i4Dj/60Y/Q2NiIgwcPujuv2C0GOCxGyOUyLF04B/NmT2cymTw6tLS2dyAyPMzjScfoqIgx3+N4uAiCgNa2jq45YJpcw/U1NsNitQLwNeG40t3mUCgU7vlfutsdcXFxo35YQiJfmFCmoNTU1IQXXngBFkMTwkIU+Nq9t/isOImiiOLScpw5V4iKqlpIJJKuiQu0kMqV0Gq1mD59Osxms8djZU67pasnsgUAEBMdhZysNGRnpiExPhYSiQQfbt2Ji5V1CImIdx9LcFhhMxvgtFsQHqbF/NkzMH3KxFE/xhTRWCWKIlrbOlwTcXQ9utZ/hU8BiVTurvDFx8d7JJnj4uLcN5mIiIhofHM4HHj66adhNrRAtJvw7a/f3We9vqKqFqfO5qP0YiUEUYRcGQK5SguZQg2VSoVp06ZBIpGguLgYnZ2dronO7BY4u9ocoigiIiwU2ZlpyMlKQ0pSAmQyGfYcOIovT+dDE5Xkbu/07LwSolZj9swpmD1zKjQh6pG8PETjhiiK6DB0drU5mgc14bhMJkNcXJxHkjk+Pp4TjtOox4QyBaVz587h3Xffham1FovmzsSyxQPPqtzeYcC5ghKcKyh2TVwgk3f1WtZCFJwej5VJJRKkJCcgJ9OVRI6M8B4io6D4IrZs3w11qKuXgt1igNNhQ6wuGgvmzMCkCZm8E0kUAKIowtBp7OrF3NQ1NnMLDJ2uiQ4vVfhcPZl7VvikUini4uKQnp6OBQsWQKfTDXA0IiIiCla1tbX429/+BnN7AyZkpuDaDasG3MZoMqOgqBR5+UVobmmDRCrr6rWsBSC6Oq3YLHA6XDe/kxJikZ2ZhuyMNMToorw6ydQ36PHavz+GUhMBmVzp7rwSERaKebOns/MKUQAZjSZXkrnrCcpGfTPaOgwAek44fqnd0XvC8dTUVMyfPx9JSUkBPhMib0woU1DauXMn9u3dA1NbHW7avBbZmWl+byuKIiqra3E2vxglpRVwdE1QoFYpkZmeguyMNGSkpyBE3f+wA4IgYMv2PSi6UAYASElKwMK5M5GZnsLHzIhGIaPJfOnRta5JAFvbXTNbX6rwdSWZlSGQyeSYOnUqli5dykoeERHROHTy5El89NFHMLXUYOWyBYOaD0UURdQ3NuFsfjEKi0thtdkBAAq5HOmpSV1J5FRotZoB97X34DEcO3kWANh5hWiU6znheEPXE5Qtre0eE453zwEjU6ohlSmQlZWFZcuWITMzk7kEGjWYUKag9Nprr6Go4CwshmZ86yt3ICxUe1n7MVusqKyuhVqlQkpS/KArZaIoora+EQq53Gs8NSIa/XpW+Lp7FjS3tkEURShUWihCwoa9kmez2VBaWorCwkKUl5cjNTUVN9xwA4feICIiCrBPP/0URw4dhKm9HrfdsBHpqZd3g9lud6CiqgZSqRSpyYlec7/4Q9/UApvdjqSEOCaciMaYnhOOdw/T19TcCqcgQK4MgSIkHDK5EklJSVi2bBkmT5485HO9OJ1OlJeXo7CwEKWlpYiMjMQtt9wCjWbgm1o0PrE1SkFHFEXU19dDcNgRolYj1I+7+n0JUaswKSfzsreXSCRIToy/7O2JKLDUKhXSUhKRlpLoXmexWnHmbCFOnDkPY1s95MoQlBTbcPHixSGr5JlMJhQXF7srdDabzTWju92KtrZWOJ1O3HrrrZw0kIiIKIDq6+shOG0AcEWdRxQKOXKy0q8oltiY6CvanogCR6GQIykhDkkJce51drsD5wtL8OWpc2htb4BMoUKV3YJ3amoQExODJUuWYNasWVfUycRms+HChQsoKCjwnDPKZkZTkx5vvPEG7rvvPo7nTD6xhzIFHYPBgN/+9rewGJqQHB+F227YGOiQiCgIORwOnCsowfGTZ9HWYYBMoYIyJBxSuQpJSUm4++67ERoa6vf+2traUFhYiMLCQlRUVEAQBAgOW9dYimYIggMAIFeooQqLwdy5c7F582YmlYmIiAJAFEX87//+LwytjdAoRHzz/tsDHRIRBSFBEFBcWo5jJ/LQoG+GTK6EQh0GmTIEUVFRuPvuuxEbG+v3/oxGI4qKilBYWIiLFy/Cbre7Oq70mDMKcA29ERIeh5wJE3DHHXdAoeBY7OSJCWUKOiUlJXjjjTdgaq3FvNypWLF0QaBDIqJBclptMJRWICw7HTLV6L4jLggCii6U4/jJS5U8VagOcfEJuP/++/tMKouiiMbGRncSua6uDqIowtk1o7vDZoYoCtBqQpCTlY4JWelwOp34+LNdkCjUUGmjkZCQgA0bNiAz0/eTFIIgoLGxETU1NaiurkZ9fT1kMhmioqIQGRnp8W94eDjHWiQiIvJTc3Mz/vjHP8Lc0Yis1ATccM2aQIdERIM0ltocoiiioqoGR0/kobK6DlKpHKowHcIjonDfffchLi6uz21bW1tRUFCAwsJCVFVVdXVcsfbouOKEWqVEVkYqcrLSERaqxXsfb4fdKYE6PAZRUdFYs2YNpk2b5nNIHVEU0dzcjOrqatTU1KC2thaiKHq1NyIjIxEZGcmh+4IEE8oUdL744gvs27sHxtZabF63ElMmZQc6JCIapDNPv4Cm42cQsyAXs37y7UCH45fuSt72XQfQabRCHR6LuPgE3HfffQgLCwPgSvBWVVW5k8itra0QBQFOuyuB7LRbIIoioiLCMSE7HTlZ6V5jIRYUX8TWHXsglSmg1ERCplBh8uTJWLt2LWQyGWpqatyv2tpa2O12iKIIwWmH4LABkEAqk0EilUMilbn3LZVKERERgczMTEydOhWZmZzMh4iIqC+nT5/GBx98AFNrLRbPn4WlC+cEOiQiGqSx2OYAgLoGPT7ffRCNTa1Qh8d6JZW7hwHtbnM0NDRAFAU47VY4bCY4bRaIooBQraar40oaUpMTPer+1bX1+M9H2+EUAKU2AjJFCNLT07F+/XpERES42xvV1dWora2FxeJqx4hOB5wOGwARUllXe0Mqd7c5JBIJwsLCkJaWhqlTp2LChAns/TxGMaFMQUUURbzwwguor6mAzdSGB79yh18zIxONtLF0N3ykWZpacPAbj7qXl/7jN1DrogIY0eC0tXfg3x98BoPRAnV4LKJ1MVi+fDlqampQVFQEo9EIQXC6eyE77RYAQEJcjKtCl50OXVRkvxPqVNfWY9e+I2jQN0OuDIFSEwmpzHWnXxRFiIITgsMGp8MGwWGF4LBDhAiJRILeX/tSqRwSmazrXwXkXbNJh4SEYNmyZVi8eDGH1SAiIurlzTffRMH5szB3NOLOm69BSlJCoEMi8sI2R9/GepvDbLHiPx9tQ4O+BerwWISGRWDVqlVobm5GYWEh2tvbIQpOOLqefnTaLBAhIjoqAhOzM5CTlY6EuJh+2xxNLa3Yve8oyqtqXMP7aSIhk196HwmCs6ut0d3usEEURfc+e7Y7pN2JZZkMUpkCMoWrzaFUKjF//nysWrWKieUxhgllCioNDQ34y1/+AnOHHklxkbjjpmsCHRKRT2P1bvhIqNr6BYr/8bZ7eeI37kTqptUBjGjw2jsMeOf9T91JZalMDsFpdz9W5nTYIJVIkJqSiJysdORkpiE8zP/xlgFXBe18YQn2Hz4Bo9EMuUoDUXDC6bBBFAUAQERYKBIT4pAYH4vEhFjExbgmDOowdKK9w4D2jk60d3R0/WtAS2s77A4HpDIFFCot5OpQpKWl4YYbboBOd/mTDREREQUTi8WCZ599FqaOJqjlIh64//Z+kzJEgcI2R9+Coc1hsVrx7oeXksoyudI9qZ7DbobTbgUAJCXEIifT9fSjLjpyUMcQRREXy6uw5+AxtLS2Q67UABAhOGwQBCcAQKsJQVJCHBLiY5AY7/pXLpOhw2BEh8GAtnYDOgydXf8a0NzSBqvNDqlUDrlKA0VIGGJj43DDDTcgJSVliK8SDRcOXEJB5fz5866Eit2CiTm+xxQlCjRLUwuajp8BADQdOw1Lc+uYuhs+3BoPn/RaHmuVu4jwMNx+0ya8/f5WdHboAQkgOB1QyOXISk/GhKx0ZGWkIUStuuxjSCQSTJ8yEROzM3HsZB5KyyqhCQlxJ48T4mOh1YT43FYXHemzMmm3O1BWWY2ikjIUXSiDw2ZCRbkDL774ItasWYMFCxawwUxERONeYWEhHA4HHDYzJk6azO9GGpXY5uhfMLQ51CoVbr1hA/79wWdobNJDKpO7O66kpSS5htDLTENoqPayjyGRSJCdmYaMtGScOVeI84UXIJfLkRgf4+64Ehaq9fk5GBUZjqjIcKSneq53Op2oqqlDUUkZ8otKYbaa0OCw46WXXsKyZcuwYsUKjrM8BvA3REFDFEWcP38eDpsZEokEk7IzAh0SkU/6o6e8lsda5WW42No60FZQ4rGuLb8YtnYDlBFhAYrq8kSEh+H2Gzdhz8FjUCtVyMlKQ3pqMhSKof3qVSoVWLZoLpYtmnvF+1Io5JiYnYGJ2RmYXTsF23buR1tbA5yaCHz66ac4fPgwwsPDMXXqVCxYsIBDYRAR0biUn5/verRbcGLSBHZiodGJbY6+BVObw5VU3ohd+w5DEETkZKYhMyMFatXld1zxRSaTYc6saZgza9qQ7CsjLQUZaSmYO3s6tu3cj7qGRihDwrBv3z6cPn0a4eHhyMnJwdKlS6FUcriW0YgJZQoajY2NaG5uhsNmRkpSPMdOplErGO6GDxf9sdOA0GskJkGE/ugpJK+7KiAxXYnIiHDcsGlszvqekpSA/7rjBuw7fByn8grgsJnRaOlEU4MMFRUVOHXqFDZv3ozU1NSBd0ZERBQkLBYLSktL4bCZEBaqRVJCXKBDIvKJbY6+BVubI0StwjXrVgY6jMsSEx2Fu27ZjGMn83Do6Ck4bBbYLQa06OtRXV2FM2fOYOPGjZg0aVKgQ6VemFCmoFFQUMDhLmjUC6a74cOh8fAJ3+uPnByTlTvANWFGa1s7oiIjrmiIi0BQKhVYs2IJJmRlYN+h42hpbYPF7hpjudZpw0svvYS5c+dizZo1CAnxPbxGT83NzTh9+jSqqqoQFhaGxMRE90utVo/AGREREV2Z4uJiDndBox7bHP0LxjbHWCaVSrFoXi6y0lOx+8BRNDQ2wWZ3wG7ugNNuxVtvvYXJkydj48aNiIiIGHB/HR0dyMvLQ2lpKUJCQjzaHFrt5Q//QZ6YUKagYTKZ3IPCx8VEBzgaIt+C7W74ULIbjGg9W+TzZ615hbB3GqG4gvG/AmHn3kP4weO/RqO+GXGxOvzu/z2GNSuWBDqsQUtPTcK9t18PAKhr0OPz3QfRoG+EQhWKL48fR0FBAdatW4dZs2Z5NawtFgvOnTuH06dPo7q6uuvGnxUSqQx5cgUkEtewGVFRUR6VPVb4iIhoNDKZTABEiIITsWxz0CjFNkffgrHNESziYnW4/cZNAICW1nbs3HsIFVW1kCtDkH/+HEpLS7Fy5UosWrQIMpnMY1u73Y7CwkKcPn0aFy9ehCA44bRZIJFKcf6cAhKpq3x4eLhXmyMsLIw3By+DRBRFceBiRKPfkSNH8Nlnn8LYUoONa5Zj+pSJgQ6JyMupp36PltP5XuujZ0/D7F98f+QDGiGm2gZcfOsj2A3GPsvYO40wlFb0+fOw7PR+K3eKMC2y7rwemqT4K4p1qLS2dWDJ+tvR2tbhXhcdGYGD299GVGR4ACO7coIg4PTZAhw4cgI2uxNKbSTkSg0yMjJwzTXXICYmBqWlpTh9+jSKiopgt9vhtFvgsBrhtFkg4lLVQyqTQypTQipXQiZXQCpTQtI1NvNIVPhEUcSZM2fQ1taG2NhYxMXFQafTcXxoIiLyqbi4GG+++SaMrbVYNGcGli2+8jkMiIYa2xzjp80RzERRRGFJGXbvPwKT2QJFSAQU6lDEx8fjmmuuQVpaGiorK3HmzBmcP38eFosFgsMGh9UIh82EnulOqVQOqVwBqVwJqUwBmVzpTjJrtVqvNkdkZOSQJ5mLiopQW1sLnU6HuLg4xMTEjOnJB8du5ES96HQ6SCRSSKQyjwQO0Wgxnu+Gl7/3KRoOHL+iffRX8esmVSow9btfuaLjDJUt23d7fRa1tLVj6449uOe26wIU1dCQSqWYM2saJmZnYNf+oyi6UAaHwoiyiw68+OKLCAkJgdFohNNhg8NqgsNqhCgKiNVFY9rkGZg0IRMWixUN+mY06JvQ2NiMxqYWmE2Orv27Knw2cwdamhpQWJA/LBU+URTx6aef4tixYxBFwfUdIpFAJpMhNjYWycnJWLlyJcLC+GgoERG56HQ6AK4boi1t7QGOhsgb2xzjq80RzCQSCaZMzEJmejIOHDmB02cL4bAaUeew4eWXX0Z4eDg6OjogOB2uJLLVBEFwICIsFFNnzsLUSTkQRAGNjc2X2h36ZlhMdtf+pTLIZArYTO1ob21CcVEhJFIZJBIJ1Gq1V5sjOjr6sjudHDp0CDt27IAgON1tDqlUCp1Oh8TERFx11VWIiYkZyss37JhQpqDhUblrZeWORpa/d8NFp9Pnz0SnE6ee/H3Q3g3XzZmBut2HgeF8KEYigW7OjOHb/yBt3bHH9/rtYz+h3C00VIvrNq5GeWU1du45jNa2eihDwmE1tsNuNUJw2hGiVmPmzCmYNjkHcbE6d+I3PCwUcbE6zIDraRJBENDS1j5kFT7XTca+k8yCIODjjz/GqVOnYDW2wGE1QSKRQipTQCpXoMrYjrraGigUCmzYsGH4LyYREY0JkZGRkEqlkErlaGVCmUYY2xz9G49tjvFArVJhzYolmD55Aj7fcwj1jY1QqLRotnTCYTXB6bBCqZBj2qQsTJ2cg9TkBI92QEx0FKZOzgHg6lDS1m5wtzUautoeZoOrI5BEIoVUroTNpEBnewtKL5S42xxKpRIJCQkebY6YmBiv4Td6EkUR+/btw65du2A3d8Bm7nAlk2UK17w0xnY01NfBbDbj7rvvHt4LOcSYUKagERkZCZlM1lW5Yw9lGlm8G96/+KXzoAjTIv///glrS9uQ718VHYmp3/8aomdMHvJ9X4629g4cOOJ7so/9R75EW3sHIiPG9rAXPWWkpeC+O2/E0RNncOxEHgAgOzMV0yZNQFZGSr+VrG5SqRQx0VHDWuGLjY2FxWJBRUUFTp06haKiIlg7WyDYzVi+eC4EQURTcysqqmphNRkhV2nYO5mIiDzIZDJERUXBYmxHa1sHRFHk2Js0Ytjm6N94a3OMNwnxsbj71mtx5lwRDhz5ElaTCWkpiZg+eQJystKhVCoG3IdEIkFUZDiiIsMxeUIWAFebw9Bp7GprNEHf1IIGfTMMnc3ubaRyJawyJUyGVpSXlUIilUMikUAulyM+Pt6jzREXFwen04nKykqcP38ep06dgt3cDpvZgPmzpyNErUZTSysqq+vQaWyDRhmC8PCx1zZkQpmChlQqRVRUFMydbWhrZ+WORhbvhg8seuYULPj9L1DwwqtoOn5myPYbM38WpnznPijDR0/ib/uuA3A4fPcMcTic2LH7IG67YeMIRzW8FAo5li2ai3mzp0MikUClVF7xPv2p8DXqXUnmTj8qfDKZDE6nE6IoQhQcsJnaITqs2LxhFSblZAIAnE4n/vrKO5CrtJDJ5Jg1a9YVnwcREQUXnU6HhrpqWBwOdBpNCAvS4QNo9GGbY2Djqc0xHkmlUszuevrRKQgIUauueJ8SiQThYaEIDwvFhOx093qj0YTGphY06JvQ0NiMRn0z2jpa3Nu4nmxUoryzHZUVZZDKFO6hLADXE5GC0wG7xQC7pROrli3EvNnT3ft/891PYLYJkMrkmDNnzhWfx0hjQpmCik6nQ31tFSwOBwydRoSHhQY6JBoneDfcP8rwMMz8ybdR/dluXHjlXQh2x2XvS6qQI+f+W5GycdWou3m0dfueAX8ebAnlbmrVlVfq+tNfha9B3+wxLnO7wbvCJwoCnA4rRMEJtUqJTZuuRnZmmns/F8urYTSZERIRj0mTJiE0lN8jRETkSafTQSpzNaVbWtuZUKYRwzaHf8ZLm2M886c38pXSajXI1GqQmZ7iXme2WNGob+7q1NKEBn0zWttaXR0aIXFN/Cdzxea0WyEIDsikUqxduQS5M6a496NvbkVNfSPUoTrEx8cjKSlp2M9nqDGhTEGlZ+Wuta2dCWUaUbwb7h+JRILUTasROWUCzv32bzDV1A96H5qUREz/4TcRlpEycOERZug0Ys+BY/2W2XPgGDo7jQhlA3TIaLUaZGk1yMpIda9zVfia3ENl6JtboFQokJKUhdTkRKQkJ3j1pD5zrhAyuRIyuXJM9hQgIqLhp9PpIJFeanOkp469RACNXWxz+CfY2xwUGCFqFdJTkzw+9602G/RNLe4nJxsamyGRAMlJaa42R1ICtJoQj/2cOVcAiUQKmTIEc+bMGZM3K5hQpqDSs3LX0tqB9NTkAEdE4w3vhvsvLDMVC377M3z52K/RWV7t93ahGSmY9+vHIBvmnrCXa+eeQ7DZ7f2Wsdps2Ln3MG64Zs0IRTU+uSp8yX5/F5SUVqCsshrqUB0iIiKQnZ09zBESEdFY1D3xK+duoUBhm8N/wdrmoNFDpVQiJSkBKUkJfpVv1DfjzNlCKNRhUCgUmDlz5jBHODykgQ6AaCi5K3cyzrpMgdN9N3zeMz+FJtm/L5XeNCmJmPebx5G6aXVQVuzcJFKYG5oGtYm5oQkS6ej9+tqyY49/5QYYFoNGlsVqxc69hyBXqCFThmD16tXu8c+IiIh60ul0AMA2BwUU2xyDEIRtDhqbBEHA9l0HAKkcipBwLF26FCEhIQNvOArxr4OCirtyJ2XljgKv+2546CAfkQrNSMGC5x4fF49WtZzJh9NsGdQ2TrMFLafzhymiK2MyW7Br3xG/yn6x7zBMgzx3Gj57DxyD0WSGUhuFiRMnjtmeAkRENPzCwly9yiQyBVrY5qAAY5tjYMHW5qCx6/jJs6hvbIIqNApxcXFYvnx5oEO6bEwoU1AJDQ2FUqmERKbg42c0OvBueL/0h09c1naNR04OcSRDY/f+IzD7qKyGq7xHmDKbLdhz4OhIhEUDqKiqQV5+MZSaSIRotNi8eXNw99IhIqIrIpFI3HO3tLcb4HQ6Ax0SjXdsc/Qr2NocNDY1t7Th0LFTUKjDIFeocf3110MuH7sjEY+PTw8aNzwqdx2s3FHg8W543wSHA/rLnEhEf+w0BMfljxU3XPoaxuLZtdN9l9+2exijIX/YbHZs/+IAZHIV5Cot1q5di4iIiECHRUREo1x3m0MQRbR3dAY6HBrn2OboWzC2OWjsEUUR23cdgCBKoNSEY9GiRUhJGdtPBzChTEGnZ+Wurd0Q6HBonOPd8L61niuCo9Pk82exC3Ox+E+/QsyCXJ8/d3Sa0HqueBijGzyrzYbPdx/0Wp8RqcHX56QjPcJ7bKzP9xyC1WYbifCoDweOnECHwQhVaBQyMjIwd+7cQIdERERjQM/JwDnUHgUa2xx9C7Y2B41Np84WoKauAarQKOh0MVi9enWgQ7piTChT0NHpdJDIFABYuaPA4t3w/jUe9q7AShVyTHrgbsx49CFokuIx87GHMOmbd0Gq8H4U6HIrzsNl78Hj6DR6V1ZvnpIEqUSCm6ckef3M0GnEvkNfjkR45ENNXQNO5uVDoYmAUhWC6667jkNdEBGRX1wJZRkkkHCoPQootjn6F2xtDhp72jsM2H/oOBQqLWQKNa677jooFIpAh3XFmFCmoKPT6SCRSCGRsHJHgcW74X0TnQL0R095rNOmJmL+s48jZcNKd1JPIpEgZeMqzH/2cWhTEz3KNx49BdEpjFjMA9m6Y4/P9d2J5JuneieUAWBrH8Nk0PByOBzY9sV+SGUKKNShWL16tXtiVyIiooG42hwSSGRyTsxHAcU2R9+Csc1BY4soitix6yAcThFKTSTmzZuHjIyMQIc1JJhQpqDjrtxJ5eyhTAHFu+F9szS3wt5jSJrk9Ssw/9nHEZruexyp0PQUzH/2cSSvu8q9zt5ugKW5ddhj9Yfd7sD2L/Z7rU8KU2NhShQAYFFKNJLC1F5ltu/aD7s9uHuGjEaHj59GS2s7VNpopKSkYNGiRYEOiYiIxpDum5BSGdscFFhsc/Qt2NocNPacLyxBeVUNlNooRERGYu3atYEOacgwoUxB51LlTsHeAhQwvBveP7UuCgkrFkGbmoQZjzyIyd+6BzKVqt9tZCoVJj94L2Y88i1oU5OQsHIR1DFRIxRx/w4ePeFzzPabJidC2vW7lkokuHFyoleZ1rYOHDoW/OPXjSaN+mYcO5EHZUg4FCrXDMvScTLLORERDY2QkBBoNBpIZQo+FUkBwzZH/4KtzUFji9Fowu79RyFXaSBXhmDz5s1QDfD+G0u8b08RjXFqtRparRY2UzsrdxQwvu6GT/jKrX1WYLrvhpf889+o2bEPwKW74SFxwfcYvkQmxbTvf+2yto1bPBdxi0fXxGlbd+z1uf6Wqcm9lpPwp+Nl3ttv34MVSxcMS2zkyel0YtsX+wGpHIqQcCxfvhxxcXGBDouIiMYgnU6H9lY9DJ0dsNnsUCrH/piYNLawzdG/YGtz0Njy+d5DsNoc0ETGYObMmZg4cWKgQxpS7I5DQck1MZ8cnUYTrDZboMOhcYh3w8cPp9OJz3bu81ofp1VhWZpnxXx5WgxiNUqvsp/u3Aen0zlsMdIlp/IK0KBvhio0GvHx8Vi+fHmgQyIiojFKp9NBKnX10WprZ0cWGnlscxCNThcuVqCktAIqbRRCw8KxYcOGQIc05NhDmYKSTqdD2cWuyl1bB+LjYgIcEY03vBs+fhw9kYcmH+Oq3TApETKpxGOdTCrBDZMT8feTFR7rm5pbcezkWSyenzucoY57RpMZh4+fgkIVCrlCheuvvx4ymSzQYRER0Ril0+kglbnaHC1t7YiLDb4enjS6sc1BNPo4nU7sOXgMMoUaMmUINm7cCI1GE+iwhhx7KFNQ6tlboIXDXhDRMNq6Y4/P9TdPTfK9forv9Vu3+94PDZ2DR0/CarNDqQnH7NmzkZycPPBGREREfdDpdJBIZZBIpBxqj4iIAAAnz+Sjta0DKk0kMjMzMW3atECHNCyYUKag5Fm548R8RDQ8BEHwmQiOUiuwKsP3kxGrMmMRqfYeY3Hrjj0QhOCcEGU00De1IO98EZQhEVCHaLB69epAh0RERGPcpcnA5WxzEBHRpSci1aGQKZRYv369e3LMYMOEMgUlVu6IaCScPJOP+sYmr/XXTUqAQub7K1Ypk+K6SQle6+sa9DiVlz/kMRIgiiJ27T8CiVQGuToUy5cvR2hoaKDDIiKiMS46OhoSiQQStjmIiAiuJyJtdgeUIa4nIhMTEwMd0rBhQpmCUnflTipT8PEzIho2W/oY7uKWqf0PpXBLH8NebOGwF8PiwsVKVFbXQamJRHR0NBYtWhTokIiIKAgoFApERERAKlOgpbUdoigGOiQiIgqQ8fZEJBPKFJTkcjkiIiLcvQVYuSOioSaKos/hLsKUcqzNiu1327XZcQhVes+Lu3XHXn5eDTGHw4G9XZNiyJUhWLduHeRyzklMRERDo3vuFovVBrPFGuhwiIgoAHo/EXnVVVcF/RORTChT0OpZuTOZLYEOh4iCzNn8YlTV1Hmt3zwxASq5rN9t1XIZNk+M91pfWV2LcwUlQxYjdU2K0e6aFCMjIwOTJ08OdEhERBREdDodpDLX3Agc9oKIaHzq+USkTqfDwoULAx3SsGNCmYIWK3dENJy2bN/tc/3NU/wbJ+vmPoe98L1fGjyj0YQjX552T4qxYcOGoJ0Ug4iIAkOn00Eic91IZpuDiGj8Ga9PRDKhTEHLYrFAInVV7gwGY4CjIaJg0tdwFyFyGTbkePc89mVjTjxCfPRk3rp9D4e9GCIHjpyAze6EMiQcc+bMQUKC92SIREREV8JisUAikUIikaKDbQ4ionGn5xORmZmZmDRpUqBDGhFMKFPQEUURO3fuRF5eHuyWTgBAbGx0gKMiomBSWFKG0vIqr/WbJsRD62NsZF+0Sjk2TojzWn+hrBJFF8quOMbxrlHfjLMFJVCGhI+LSTGIiGjkffnll9izZw8cVhNEUUBcDNscRETjyXh+IjL4+2DTuOJwOPDhhx/i7NmzsJnaYLd0YvH8XMRERwU6NCIaQk6nE//34r/w+Z5DaO8wjPjxDZ2+eyD1NYxFX26ekoT3C7zHYb71/u8hLFR7WbFdiYjwMKxduQTf+9Z/QSbrfxzo0az3pBgrVqyAVjvy15OIiIKTKIr44osvcODAAdjNBlhNbZgyMQvZmWmBDo2IiEZQ9xORmshwzJ07F/Hx/j2tGgyYUKagYTab8fbbb6O8vAzWzhY47RasWbEEs2dOCXRoRDTEfvG/z+Ol1/4T6DA8KGVSXONjor3+bJ6YAKVMCptT8Fivb2qBvqllKMPz26m8fLS0tuNXP/t+QI4/FIpLy1FVUw91WAx0Oh0WLFgQ6JCIiChI+OrAsmDODFy1ZP646ZVGRERAQ2OT64lITQTUIRqsWrUq0CGNKA55QUGhtbUVL730EsrLLsLSoYdEsOPGa9YwmUwUhJxOJ/79wWeBDsPLuuxYhKsUg9omXKXA2qzYYYro8v37w88gCMLABUchh8OBfQePj7tJMYiIaPiZzWb861//wtmzebB2NsNhNWLNiiVYsXQBk8lEFFBOqw1t+SVwWm2BDmVcEEURuw8cdT0RqRqfT0SyhUVjXl1dHV5//XUYOtpg6WiCWiXHzdduQEL86EvSENGVk8lkUKtVfQ47ESi3TEm+rO1unZqMrSUNQxzNlVGrVZBKx+Y95xOnz6OtwwBNZAKysrLGzaQYREQ0vNra2vD6669D39gAi6EJUgi4YdPVyMlKD3RoREQ499u/oen4GcQsyMWsn3w70OEEvd5PRC5cuDDQIY24sdlaJOrS3t6O119/HR1tLTC3NyIyQou7b72WyWSiIPfA/XcEOgQP02LDcOeMlMva9s4ZKZgaGzbEEV2Zb953e6BDuCydncZLk2LIlVi/fj17jBER0RWzWq1444030NhQB3N7I1QKKe64aROTyUQ0KliaWtB0/AwAoOnYaViaWwMcUXBzOBzYe+AY5F1PRK5fv35Mzz9zudhDmcYsm82Gt956C4aOdlgMTUiKj8GN165DiFoV6NCIaJh9++t3QRQF/PoPf4fT6ey37ERdKHKih+fxI5lEglnx4fjhkhwoZZd3j1Ypk+LgV5fjt4cu4ExDB5yiOMRRupQ0d6Kkpf9e3XK5DI9+75v49tfvGpYYhtuBIydhdwjQhI6/STGIiGh4CIKA//znP2hsqIelowkRYRrccv16REaEBzo0IiIAgP7oKa/l1E2rAxRN8Pvy9Dm0GzrdT0ROnDgx0CEFBBPKNCaJooj3338fdbW1sBj0iAwPZTKZaByRSCT47jfvxZIFs/HgD59CZXVtn2Ur203470XZeGBuxqjtrRqpVuJ/Vk8dln2LoogXvyzHD8rO9lsuLSUJL/7uScyZNW1Y4hhu9Q16nCssgVITiRCNdtxNikFERMNj586dKC4uhqWzGUqFDDddu47JZCIaVRoPn/RaZkJ5eHR2GnH0yzPuJyI3bNgwatuYw41DXtCYtGvXLhQUFLgqdnIpbty8lslkonFobu507PzwZdy4eW2fZSwOAQ9uPYNb3j2GFvP4mqSixWzDzf8+hoc+PQOLo+9J9m7cvBY7P3x5zCaTRVHErv1HIZHKIVdpx+WkGERENPROnjyJQ4cOwWZqg+iw4bqNqxEdFRHosIiI3GxtHWgrKPFY15ZfDFu7IUARBbfuJyKVIeGYN28e4uLiAh1SwDChTGNOXl4e9u/fD5upHaLDims3rIIuOjLQYRFRgISHheLPzz2BP/zvT6HRhPRZ7v2COsx6cTf2VTSNYHSBs6+iCbNe3I0PCuv6LKPRhOD/fv04/vzcEwgPCx3B6IZW0YUy1NQ1QKmJRExMDBYsWBDokIiIaIyrqKjA1q1bYbd0wm7pxNUrFiM9NSnQYRERedAfOw0IvYbME0SvYTDoyl16IjKCT0SCCWUaY6qrq/Hxxx93VewMWLV8ITLSLm8iLCIKHhKJBHfcdA12vPcSZkztewyr6g4zVr16AE/uKYBD6LvH7ljmEAQ8sbsAq149gOoOc5/lZkydiM/f/yduv3HTmH5My253YN/B412TYqjH7aQYREQ0dFpbW/HOO+/AZjHCamzFnJlTkTtjSqDDIiLy0nj4hO/1R076XE+Xp/cTkStXroRGowl0WAHFhDKNGe3t7Xj77bdhNbsqdrOmT8bsmcMz5igRjU05WenY8s5f8cD9t/dZRhCBp/YWYdWrB1HZbhrB6IZfRZsJK185gF/uK/LqqNDTA1+5A1ve+SuyM9NGLrhh0j0phlIbiezsbEyYMCHQIRER0RhmtVrx1ltvodPQDouhGRmpyVi1fGGgwyIi8mI3GNF6tsjnz1rzCmHv7H9CbvJf9xORKq3ricj58+cHOqSA46R8NCbYbDa89dZb6Ghvg8XQhLSURFx91aIx3auOiIaHSqnEUz95GMuXzMP3Hvt/aG5p81nuQGUzZr24G/+4Nhc3T00e2SCHwXv5Nfj6J6fRZrH3WUYXHYnnf/0zXL1i8QhGNnw6O404duIMFOowyBUqrF+/nt8LRER02QRBwHvvvYeG+npYDE2IigzDtRtXQSplPywiGlmm2gZcfOsj2A19J4XtnUaITqfPn4lOJ049+XsoQvueV0QRpkXWnddDkxR/xfEGM7vdgb0Hj0GuUEOm4BOR3ZhQplFPFEV88MEHqKuthcXQhMjwUFy7YTX/gImoX2tWLMGuj17Fdx/9H+w79KXPMm0WO2559zgemKvH79ZPh0Yx9r4WTXYH/nvbOfztZHm/5VYsnY8/PvNzxMXqRiawEbD/yAnYHQI0oZwUg4iIrtzOnTtRVFTUNfG3DDdesxZqFSf+JqKRV/7ep2g4cPyK9mEorRiwjFSpwNTvfuWKjhPsvjx9Dh0GIzSRCcjJyeETkV14q5VGvd27dyM/Px/WzmYoZMANm9dAE6IOdFhENAbEx8Xg7Zd+j5/96CHI5X3fhPrriXLM//tenG1oH8HorlxeQzvm/31vv8lkuVyGn//4Ibz1j98FVTK5rkGPcwXdk2JosHLlykCHREREY9ipU6dw6NAh2ExtEB1WXLdxNaKjIgIdFhGNU7o5M4DhfvJOInEdh/rEJyL7xoQyjWp5eXnYt28fbKZ2OB1WXLthNWKiowIdFhGNIVKpFN/5xt34+K0X+52dPV9vwPy/78Wfj1+EKPYzAPEoIIoi/nTsIhb8fS/y9YY+y2WkJeOTt/6Kb3/97qB6XFcURezedwRSmYKTYhAR0RWrqKjAli1buib+7sTqqxb3W2cgIhpu8UvnYfaT/w1VdOSw7F8VHYnZT/0A8UvnDcv+g8W+w1/C7hCgDHE9ERkbGxvokEaN4GldUtCprq7Gxx9/DLvFCLvFgFXLFiAzPSXQYRHRGDVn5lTs/PAV3LR5bZ9lrE4B3/40Dze+cxTNJtsIRue/ZpMNN75zFN/5LA9Wp9BnuZuvXYfPP3gZs2cG36z0hcUXUVPfCJU2ErGxsZwUg4iILltrayveeecd2Cyuib9nz5wSlN+dRDT2RM+cggW//wVi5s8a0v3GzJ+FBb//BaJnTB7S/QabugY9zhdegFITAY1Wyycie2FCmUal9vZ2vP3227CajbAaWzBr2iTMmTUt0GER0RgXFqrFn557As8/8zNoNCF9lvuoqB6zXtyFveVNIxjdwPaU6zHrxV34qKi+zzJaTQj++MzP8afnnkBYP5NwjFV2uwP7Dh+HXBnCSTGIiOiKWK1WvPXWW+g0tMNiaEZ6ahJWL18U6LCIiNyU4WGY+ZNvY+I37oT0Cud7kSrkmPiNOzHzJ9+GMjxsiCIMTnwicmBMKNOo43Q68fbbb6OjvQ0WQxNSkxNw9YrFHKeGiIaERCLBbTdsxM4PXsbMaZP6LFdjsGDVqwfwi90FcAh99wQeCQ5BwM935WP1qwdRY7D0WW7mtEn4/IOXcesNG0YwupF1/NRZdBiMUGoiOCkGERFdkQ8//BAN9fWuib8jXBN/B9MQUUQUHCQSCVI3rca8Z34KTXLCZe1Dk5KIeb95HKmbVjO34oeeT0TGxcVh3jwODdIbvy1p1CktLUVdXR2snc2IDA/FdRuvZu8zIhpyWRmp2PL2X/Gtr97ZZxkRwP/sK8KKVw6gos00csH1UNFmwopXDuBX+4vR38jOD371Tmx5+6/IykgdsdhGmqHTiGMn8jwmxSAiIrocTU1NKCgogNXYCqVcips2r0OIWhXosIiI+hSWmYoFv/0ZQjMGNxRoaEYKFjz3OMIGud14xSci/cOEMo06+fn5EBx2OB02rFy2AJoQdaBDIqIgpVQq8OSj38Fb//gdYnR9T/h5qKoFs17chd1l+hGMDthd5hri4lBVS59lYnRReOsfv8MTj34HSqViBKMbWTabHR99+gUcgghlSDjmz5/PSTGIiOiy5efnQxQEOG1mLJqXi+ioiECHREQ0MIkU5obBDctnbmiChE9f+EUQBHz6+V4YDCYoNRGYMGECcnJyAh3WqMR3FI0qTqcThYWFcNhMUCkVyEhLDnRIRDQOrFq+ELs+ehUrly3os0y71YEb3jkKg9U+IjEZrHZc//ZRtFsdfZZZtWwhdn/8L6xavnBEYgoUQRCwZftu1Dc2QR0Wg4jISE6KQUREVyQ/Px9OuxkiREzMyQh0OEREfmk5kw+nue8h8Hxxmi1oOZ0/TBEFD1EUsWv/ERSXlkMVpoM6RMsnIvvBhDKNKmVlZbBYLHDYzMjOTINcfmWDzhMR+SsuVoc3//5b/OKRb0PRx4QXHVYHjta0jkg8R2taYbD5TiYrFHI88eh38Mbfn0NsTPSIxBMooiji890HUVpeBVWoDhptGO6++26EhPQ9qSIREVF/WlpaUF9fD4fNjMT4WERwcioiGiP0h09c1naNR04OcSTB5/jJsziVVwCVNgpKtRa33XYbYmJiAh3WqMWEMo0q58+fh+C0Q3DaMTE7M9DhENE4I5VK8dDX7sInb70IXXSkzzKJoSMzDE9CH8eJ0UXhk7dexINfvXNcTBx0+Php5OUXQ6WNhiokFHfccQfi4+MDHRYREY1h+fn5EEUBTpsFE7MzAh0OEZFfBIcD+uNnLmtb/bHTEBx9P/k43uUXXsDeQ8ehDAmHQh2K6667jkNdDCD4W6I0Zlwa7sIMpULO4S6IKGCmTMqGzeY9tEVGpAZTY0emF9O02DCkR3j3wrVabZgyKXtEYgi0vPNFOHj0JJSaCCjUWtx4443IzOTNRiIiujL5+flw2iwc7oKIxpTWc0VwdPqeKDx2YS4W/+lXiFmQ6/Pnjk4TWs8VD2N0Y1dFVQ22fbEfcpUGipBwXH311cjNzQ10WKMeE8o0apSXl8NsNsNhNSErI63PR86JiIbbvkNfwtBp9Fp/0+RESCSSEYlBIpHgpilJXusNnUbsP/zliMQQSKVllfh890EoVFoo1GFYv349pk+fHuiwiIhojGttbUVtbS0cNhMS4mIQGREe6JCIiPzSeNh72AqpQo5JD9yNGY8+BE1SPGY+9hAmffMuSH3kUy53uIxg1qhvxkeffgHIlFBpozF//nwsW7Ys0GGNCUwo06iRn59/abgL9hQgogDaun2Pz/U3T/VO8A6nm30klAFg6/a9IxrHSKtr0OOTbbshVaih1EZhyZIlWLx4caDDIiKiIMDhLohoLBKdAvRHT3ms06YmYv6zjyNlw0p3pxeJRIKUjasw/9nHoU1N9CjfePQURKcwYjGPdu0dBvzn4+1wCBKow3SYMmUKNm3aNGIdiMY6JpRpVBAEAQUFBXDYzFDI5chKTw10SEQ0TtntDmzftd9rfVKYGotSRnYCvMWp0T7HbN7+xX44gnQMtNa2Drz38Q4IkEIVGo3p06dj3bp1gQ6LiIiChOdwFxxGiYjGBktzK+ztBvdy8voVmP/s4whNT/FZPjQ9BfOffRzJ665yr7O3G2BpHpkJxkc7k9mC/3y8HWaLHaqwGKSlpePmm28eF3PUDBVeKRoVKioqYDKZ4LSZkZWRyuEuiChgDh8/hda2Dq/1N05OhHSE71ZLJRLcODnRa31LWzsOHz89orGMBKPJjPc+3g6r3QF1WAwyM7Nw4403spcAERENiba2NtTU1MBhMyMuJhpRkRzugojGBrUuCgkrFkGbmoQZjzyIyd+6BzKVqt9tZCoVJj94L2Y88i1oU5OQsHIR1DFRIxTx6GW3O/Dhls/R2maAOjwGsbFxuPPOO6FQKAId2pjCrB2NCq7hLhxwOmwc7oKIAmrLtt0+198ywsNd9Dzun78s81r/ybbdWL54XgAiGh42mx3vf7IDbR2dCImIR3xCIu644w7I5ayqEBHR0CgoKHANd2E3Y2LOlECHQ0TkN4lMimnf/9plbRu3eC7iFs8d4ojGJkEQsPXzPait10MdHovwiCjcc8890Gg0gQ5tzGEPZQo4m82G/Px8OGwmyGUyDndBRAHjdDrx6c59XutjNUosT4sJQETA8nQdYjRKr/Wf7dwHp9MZgIiGx95Dx9Ggb4Y6PBaRUdG45557oFZ7D/dBRER0OURRxJkzZ+C0WyCKIsdPJiIah06eyUdJaQVUYTqEaMNw9913IyqKvbYvBxPKFHCHDh1CZ2cnHJZO5GSlQ6nkYwZEFBjHTp5Fk49xxW6YnAiZdPDDLoiiiF1levz+8AXsKtNDFMVB70MuleKGSd7DXuibWnD81NlB7280qqlrwJlzhVCGRCBEE4p77rkH4eF8DJmIiIbO2bNnUVdXB7vZgIS4GOiiIwMdEhERjaD2DgMOHj0BhToUCpUGt912GxITvdtZ5B8+R0oBZTAYcPDgQdgtBkAUsGTB7ECHRETj2Nbte3yuv3nK4Ie70But+MpHJ7G1pMG97poJ8Xj5+jmI1fY/3pnX8acm4R+nKrzWb92+B4vm5Q46ttFEEAR8vvsQpDIF5OpQrFq1CnFxcYEOi4iIgojdbscXX3wBp80Mp8OG5Xz0m4ho3Nm17wjsThGa0AjMmzcPOTk5gQ5pTGMPZQqoXbt2wWa1wG7uQO6MKewpQEQBIwgCPv18r9f6SLUCqzJjB7WvLy7qMfPFXR7JZADYWtKAWS/uxhcX9YPa3+rMWESovO8Bf/r5vsvq9TyaFBZfhL65BUptJJKSkrBw4cJAh0REREHmyJEjaGtrg83Ujqz0FGSkpQQ6JCIiGkF1DXpcKKuEShOB8IgIXH311YEOacxjQpkCpq6uDqdPn4bN1AGVUoHF7J1MRAF0+mwBausbvdZfNykBSpl/X5d2p4DHdp7H2tcOor7T6rNMXacFa187iJ/sPA+7U/Brv0qZFNf5GPaipq4Bp84W+LWP0UgQBBz+8jTkCjVkchXWrVsHqZRVEyIiGjoGgwH79++H3dIJUXTiqqULAh0SERGNsENHT0Iqk0Om1GDlypWcq2UIcMgLGlY2mw0tLS3uV3Nzs/v/BoMBgsMOu7UTS5cugCaEf9BEFDifbNvtc/0tfg53cbHViDvf+xLHarzHYO5NBPDrgyXYVd6Et26eh6wo7YDb3DI1Ca/lVXmt37JtN+bMnOpXjKNNUUkZWlrbERIRj/T0dGRkZAQ6JCIiGoMcDgdaW1u92hvNzc3o6OiA4HTAbm7HzGmTEKvj5Es0fkmaW6Haewjy0go4stNhXbEEIv8mKMjVNehxsaIa6tBoREZGIjc3N9AhBQUmlOmK2e12r4Rx978Gg8FdThScEAQHBKcDotP1r+CwIjI8DLNnTgngGRDReCeKIrbu8B7uIlQpx9rsgcfzfetsNR7YchoGm2NQxz1W04rcF3fjr5tzceeM/h+/XZcdh1ClHJ29jrF1xx78/McPQSIZ/KSBgdTdO1mmUEMmV2LFihVj7hyIiGjkOBwOtLW1ebU3Wlpa0N7e7h4CShSFS+0NwQHBaYfgsEOpkGPpwjkBPguiwFEePIaIHz0FaUube50QHYn23z4J25L5gQuMaJgdPnbK3Tt5+fLlkMlkgQ4pKDChTAOy2WyorKxETEwMIiMjAbgeHdu+fTsqKyvR0dHhLisKAgTBfilh7HRA7E4ii5ce7daEqBGli4AuKgVzZ0+HXM63IhEFzrmCElRW13qt3zwxHmp53xWOTpsD3/0sD6+crux3/0kJcT6H0wAAg82Bu97/Ep9fbMTzG2ciVOn781Atl+GaCfF453yNx/qKqlqcLyzB9CkT+41htCm6UI7mljaERMQhLS0NmZmZgQ6JiIgCyOl0ory8HBEREdDpdJBIJLBardi5cydKSkr6TRpfanvYPdocapUKushwREWGY9b0ydBqQgJ1ekQBJWlpQ8T3fwFph8FjvbSlDRHf/zmatr8DMSoiQNERDZ/6Bj1Ky6ugCo1GREQEeycPIWbxqF8dHR149dVX0dzcDACIiIhAWloa9Ho9amuq4bAaPSpxXknj6HBERoYjKjICkRHhiI50LauUykCdEhGRl63b9/hcf3M/w12crGvDHf85jpIWY59llAoFfv7jh/C1e2/BP/71Lv7nuT/Dbvfdi/nl05U4WNWCt26ehzmJkX3G0zuh3B3/WEooi6KII8e7eyer2DuZiGics1qteOONN1BZ6bpBq9VqkZaWBovFgoulpbBbOy8ljQUHRMHp3latUna1NcK62hsRiIwMR2REOIfUI+qiefUdr2RyN2m7AZpX3obxvx8Y4aiIht/h46chlcoh7+qdzM6MQ4dXkvrU0dGBV155BU36RlgMTZBKZbCZO9DS1AipXAFrZzNkEgFxuih3wjgqMgJREWGIjAyHWqUK9CkQEQ1IFEVs2e49fnKIXIaNOfFe6wVRxP8dKcWjO8/DLoh97jc7IxUv/v6XmDHVlej95v23Y9H8XDz4gydQWu49FjIAFDd3YtE/9uKZNdPw/UXZXknWjRPioZZLYXF4Tua3ZcdePPr9bw54rqNF0YUyNLW0IiQ8DqmpqcjKygp0SEREFCDdyeSK8nJYDE2ARAKbqR0dbc2QypWwGlsgOqyIjYnuam+4Xt1tjxC1ijclifojilB/tqvfIurPdsH4/W8C/FuiINLQ2IQLZZXu3smzZ88OdEhBhQll8skjmdzRiDBtCCIiwlBXr4fZ1A4AkEmluO2WzUiMjw1wtEREl6/oQhkulHkPWbEhJw7aXsNPNBqtuP/Dk/jsQkO/+7zz5s341ePfg1ar8Vg/c9ok7Hj/n3j8V3/A2+9v9bmtXRDxgx3nsLNMj5evn4M47aWbc6FKOTbkxOPDwjqPbUpKy1F0oQyTckb/sBGiKOLwsa7eyQr2TiYiGs+sVitef/11VFZUwGLQQyGTICkhBrX1jTD3GFbvuo2rx8R3HNFoJC+6AHlFdf9lKqohLyqFY3LOCEVFNPx69k5etmwZeycPMV5N8tI7mRweqsHtN21CeFgonE4nGvTNaGhsRmJ8DBKYTCaiMa6v4S5umeo53MXnpY2494MTaDBa+9xXWKgWz/7yEdxwzZo+y2i1Gvzhf3+KFUvn45EnnoWh0/eQGZ+WNGDWi7vw2o1zsSbr0sSAt0xJ8kood5/HWGhsF5eWu3snp6SkIDs7O9AhERFRAPhKJt92wwbEx8VAEAQ0NbeirkGPyIhwpKf2PQQVEfVP1Udd16vcjj1MKFPQaNQ3o+RiBVTaaISHh2POHE7KOtSkgQ6ARpfeyeSIMK07mQwAMpkMSQlxmD1zCpPJRBQUtu7Y67VOKZNi88QEAIDNKeDRz89j3euH+k0mz82dhp0fvtJvMrmnGzevxc4PX8acWVP7LFPfacW61w7hsZ3nYXe6hrnYPDEBCql3j96tO/b4ddxAutQ7WcXeyURE49ilZHK5VzIZAKRSKeJidZg1fTKTyURXSO1nHdHfckRjwaHjp1y9k1XsnTxcmFAmN1/J5Ntu3OhOJhMRBZuyimrkF13wWr82KxbhKgVKW4xY9s99+M2hkj73IZFI8L1v/Rc+fP3Pg270pqcm46M3/oKHH7i3z8SqCOCZgyVY9vJ+lLYYEaFWYG12nFe584UXUF7Z/+OMgVZysQL65hYoQyKQnJyMnBz2giEiGm88k8lNUMgkuP3Gje5kMhENHVlpBeQXyv0qKy8pg+xixfAGRDQC9E0tKCmtgCIkDGFhYeydPEyYUCYAQHt7e789k4mIgtGWPh4BvHlKEt7Iq8Lsv+7G8dq2PrePj9Xh3Zf/Dz/57wegUFzeXW+FQo6f/uBb+PfLf0B8rK7PcsdqWjH7r7vx5tkq3DzFd+J6y3bv3tajhat38in2TiYiGsf6SibH9fP9R0SXb7C9jlXspUxB4NCx7t7JWixbtgwKhSLQIQUlJpQJ7e3tePXVV72SyWGh2kCHRkQ0rLZs3+1z/fuFtbjngxMw2Bx9brt21VLs+vhfWLZ47pDEsnzxPHzx8atYs3JJn2UMNgfufv8EPiis9fnzvs5nNLhwsRKNTa7eyUlJSZgwYUKgQyIiohFktVrx2muvMZlMNIIGmyBW+xgKjmgs0Te3ori03N07ee7coWmrkTcmlMe5vnomM5lMRMGuqqYeZ84V+vzZluKGPrdTKhT41c++j3/95RnooiOHNKaY6Ci89uJv8KvHvw9lP3fS+4rv9NkCVNfWD2lMQ0EURRw+fgoyOXsnExGNRxaLBa+99hqqKitg7tBDKZcymUw0zGRVNVDkFw9qG8X5IsiqaoYpIqLhd/jYKUilMshVWixdupS9k4cRE8rjWHcyublJz2QyEY07n36+Z9DbTMhKx2f/+Tu+fu+tw5YQlUgk+Pp/3YpP3/0bcjLTBr39p6OwZ0lpWSUa9M1QasKRmJiIiRMnBjokIiIaIRaLBa+//ro7maxSyHDbDRuYTCYaZqo+hnYbcLtRWJck8kdTS3fv5HCEhoZi3rx5gQ4pqDGhPM6Iooiamhp8/PHH+NOf/sRkMhGNW1sHOd7w3bdei23vvYRpk0dmqIbpUyZi+/v/xF23bB7UdltH2dh3rt7Jp7t6J6vZO5mIaJxoamrC9u3b8fzzzzOZTBQAlzseMsdRprHq8LHTkEik7J08Qi5vBiEacywWC/Ly8nDixAk0NDRAcDrgsBpht3QiMjyUyWQiGlfqG/Q4fuqsX2XDw0Lx7C8fwfWbrh7mqLxpNSH43f/7Ca5aOh8//vlvYOg0DrjNsZNn0dDYhPi4mBGIcGAXy6tQ39iEkPBYJCQkYNKkSYEOiYiIhondbkd+fj5OnjyJiooKiIITdqsRDosRKqUct9+4EbEx0YEOkyjoSesboTyTf1nbKk+fh7S+EUJC3BBHRTR8mlpaUXShDEpNJHsnjxAmlIOYKIqoqqrCiRMnkJ+fD5vNBqfNDLvVCKfdApVSgZnTJmLpgtnQajWBDpeIaMR8unMfRFEcsNy82dPx5+eeRFpK4ghE1bcbNq3BnJnT8OAPn8CJ0+f7LSuKIj79fB++cvdNIxRd/7G4eicrIZVz7GQiomDV0NCAkydP4syZMzCbzRAcVtgtnXDYzJBJpZiYnYGlC+cgOioi0KESjQtXOmyF6vO9MN976xBFQzT8jhy/1Dt5yZIlUCqVgQ4p6DGhPIZ0PzZWVlYGqVQKhULR76uurg56vR6C097VG9kIURSQlBCLmdPmY1JOJpRKPgJAROPP1gHGlJNIJPj+t/4LP/zOVyGXj46vyrSURHz4+p/x2xf+if/767/6TYhv3bFnVCSUyyqqUdegd/dOnjx5cqBDIiKiARgMBnz++ecoKCgAAJ/tDKVS6f5/S0sLqqurIQhOOLp6IwuCA7roSMycOhNTJ+dAE6IO8FkRjS/q7buvcPs9TCjTmNHc0obCElfvZK1Wi/nz5wc6pHFhdLSSqV92ux379+/HwYMHYbdZYLd0AkBXLy8pIJG4/i+RQAKJe7n7ETOn3Qq1SonZMyZj5rRJfMyMiMY1URRx7GRenz9PiIvBC8/+AssWzR3BqPyjUMjx2H9/E8sWz8V3fvxL1Dc2+Sx37EQeRFEMaG9gV+/kU+ydTEQ0RgiCgOPHj2PXrl0wm02wmw0ARO82B3q0PSQSiKIAh9UEh80MuUyGKRMzMXPaJCQnxvNznygApPpmKE70Xdf1h+LLM5A2tUBg7oDGgCNfngbYO3nEMaE8ypWUlODTTz9FS0sL7OYO2M0GaDRqqNUqOOwO2B1WOOwO2BxOn73VUpISMHPaREzMzoRCwV83EZHD4XTdfPNh/epl+N3/+wl00ZEjG9QgLVs0F1989Cr++6dPY8fugz7LOBzOgH7ul1fWoLZeD3VYLOLj4zFlypSAxUJERP2rqanBli1bUFtbC4fVCJupDSqlAqFaLRwOB+wOm+tfuwOCjzZHrC4aM6fnYuqkbKhVqgCcARF1U+3cB8kAQ7sZ5y+D9viBPn8uEUWodu6D+Y4bhjg6oqHV0tqOguKLUGoioNFo2Dt5BDHDOEp1dHRg27ZtyM/Ph8Nmgc3YCgkELJw3E4vm5XolCURRhNPphN3hdFf2lAo5QjnRHhGRB4VCjjtv2YxX3/rAvU6lVOKJx76Dr9x105jpTaWLjsSrf3kG/3zjPfzymT/BarO5f3bXrdcGNJksiiIOH3P1TpYp2DuZiGi0slgs+OKLL/Dll1/CYbfCZmyF02HDzKkTsXzJfK+hKkRRhCAIsDscXZ1bnJBKJQgPC+XnPNEoodqxp9+fi/L/z959R8dVnWsDf84504t6t+Tei2xs3MDYGAwYUiC5IQmQQhIgAcK9gRTChZBwky+NADeUFLi0NKfQAyQGgwu4d2Pce7fK9D6nfH+MJVyk0Yw0ozPl+a2VBZpT5nGQpf2+s8/eRpy46wEM/eJ8CHI86X3YUKZc99HsZAcuuOACmPmhZr9hQznHqKqK1atXY/HixYhEwogF3ZBjYTQNqMO8iy9AVUV5l9cJggCDwXBqrU/+BSIiSub/3fctNDbUYcXqDWior8EtN34Oo4YP0TtW2gRBwNe+8BnMmjEFTz73Nxw73oILpk/GrV/9vK65Dh4+iqMnWmBxVqG2thZjx47VNQ8REZ1J0zR88MEHWLhwIQJ+P2JhL+KRAKorKzDv4plobKjr8jpBECBJEiRJAli0E+Ucwe2FafXGpOcEp1wAuW4AglNmwrF6WbfnmVZvgODxQSsryXRMooxwe3zYvnMvTNbE7ORp06bpHamosKGcQw4fPozXX38dJ06cgBwJIBb2wmox44rL5mDMqGH81J+IKEMMBgPuuOULuOOWL+gdJSNGDR+Ch37yfb1jdNq5ez9EyQjJaMHs2bP5+4uIKIe0tbXhjTfewL59+6DEwogG3TAaRMydNR3nNY9JNIuJKC+Z330fgqIkPcc/+3IAQOCiy5M2lAVZgfnd9xD59McympEoU3bvPQANgMHiwIwZMzg7uZ+xoZwDQqEQFi1ahA0bNkCRo4gG3NBUGRPHj8asGVNgtfAvBRER5Rfh1GZN1dXVekchIiIkNvpetmwZVqxYgXgsgmjQDSUexchhg3HJ7Blwcqk8orxnWbg46XFNlBC48BIAQGDWpdAe/iEEtfsGtGXhEjaUKeex5tAHG8o60jQNmzZtwttvv41gwI9YyIt4NIja6kpcNvdC1NfyLwQREeUfq9UCTVUBJD40JSIife3atQtvvvkm3G434mEfYmEfykqcuHT+HAwd3KR3PCLKAMEfgGnF2qTnhCZNg1qaWEZTKS1HaOJU2Deu6vZ80/K1EAJBaPzAiXKQ1WqBpmnQNI01hw7YUNZJS0sLXn/9dRw8eBByLIRY0AOTUcKls2dg0oQxEEVR74hERES9YrVYoGmJ2S4c3BER6cfr9eLf//43tm/fDjkWRizogQAVM8+fhOnnT9R1A1ciyizz4uUQ4nLSc/xzrjjj68CcK5I2lIV4HObFyxH5xOUZyUiUSZaOJS40lTWHDjiC6GexWAxLly7FypUrIceiiUfN5ChGjxiKubOmwcFP/oiIKM9ZrWbOFiAi0pGiKFi9ejWWLFmCSDiEWMgDORbGwMZ6zJtzASoryvSOSEQZZn5rSdLjmiAgMOvSM17zXzQPNb/+HwialvS+bChTLrJaEw1lTVURDod1TlN82FDuJ5qmYceOHfj3v/8Nj6fjUTM/ystKMG/OxRg8sFHviERERBlhtVgAABpnCxAR9btDhw7h9ddfx8mTJ7nRN1GREIIhmJd1P9MYAMITpkCpOHNZTaWiGuHxk2H7YH2315mXrQJCYcBmzUhWokxhzaEvNpT7gdvtxr/+9S/s2rXr1KNmbogCcOH0yZg2eQIMBv5nICKiwmHp2ExW5eCOiKi/hEIhvP3229i4cSOUeOJJyI6Nvi+aOeWjR4OJqOCYlq2CEI0lPcd/UdezjAOzL0/aUBYiUZiXrUJ0/tw+ZSTKNKv1VENZVVhz6ICdzCxSFAUrVqzAsmXLEI2EOx81GzKwEZfOmYnyshK9IxIREWXcR7MFOLgjIso2TdOwceNGLFq06IyNvutqqjDv4gu40TdREbD0sNwFAARmX9bl6/6LLkPNEz/r8f5sKFOusZhNEASBM5R1woZylpw8eRIvvPACWlpaEI/4EQ/5YLdbMfeSuRg1fAgfNSMiooL10WwBrmdGRJRNXq8XL730Eg4cOAA5mlgr2WSUcOmcmZg0fjQ3+iYqBtEoTEtWJD0lPGYi5Jr6Lo/JtQ0Ij26GdceWbq83LV4ORKMAn3SgHCKKIixmMxSNNYce2FDOgs2bN+P1119HJBxENOCCpsqYPHEsLpwxGWaTSe94REREWcXZAkRE2bd37168+OKLCPh9iAZcUOQoxowciosv5EbfRLqIyzDs3Q8hEOzXtzVu3QExlLyZ5p+dfFO9wOzLkzaUxVAYtgUvIz5+dK8y9pbmsEMeNgQwsnVFXbNYTAhEWHPogX8rM0iWZfz73//GunXrEI8EEAt6UFNdgfmXXoSa6kq94xEREfULWVY6/11Lsms4ERGlT9M0vPfee1i8eDHi0RCiARdKHDZccelcDGoaoHc8ouKjKLD/9nnYn/oThEhU7zRdCvTQUPbPvhzVT/4q6TnOnz2WyUgp0yxmBG/+AoK3fhmQJF0yUO5SFRWAwJpDB2woZ4jH48Hf//53HD16BLGgB/FoEBPHj8YlF03npntERFRU2l1uaJoG0WBEbW2t3nGIiApGOBzGSy+9hF27diEe9iEW9mHY4CZcedkcWC18FJ1ID86fPQrbH1/QO0a3IsPHIN7QlPSc+ICBiAwbDcveHf2UKnVCJArHY09D9Hjhv+9OveNQDolEo/D6AzA7KlBTU6N3nKLDTmcG7N69Gy+99BKCAR8i/naIUHHlvIswfsxIvaMRERH1u5Y2FwBAlNhQJiLKlGPHjuHvf/873K52RAIuqHIUF82cgulTJnJ/FiKdSAePwPrnl/SOkVRPy110CMy+PCcbyh2sf3kZoS9eC2VQo95RKEe0trkBAJJkQl1dnc5pik9RN5S9Xi927dqF+vp6DBgwIO2BmKqqWLp0KZYtW3bqcbN2lJU48ckrL+ESF0SUNiUag3/vQTiHDYJk5nrrlL9a2tohSgYIgsjBHREVvXA4jA8//BCVlZUYOHAgpDQf2dY0DRs2bMCbb76JWDSEqL8dZpMRn/jYFVzigkhnhu27Iaiq3jGS6mm5iw7+2Zej6tlHs5ym9wRFgWHHbjaUqVNrWzsECBAkA2sOHRRtQ7m1tRXPPfccAoEABEGAw+HAyJEjMWrUKAwdOhRGozHp9aFQCC+++CL27NmDeNiLWNiPEUMHYf68i2DhzqdE1AtbH3oSbWs3o2raJEy853a94xD1WkurC6KU+FCEgzsiKmaBQADPPfccWltbIQgCLBYLhg8fjlGjRmHEiBGwWCxJr4/H43jjjTewceNGyNEgokE3Guqq8Yn5l6DE6einPwURdUtRej5HR9FBwxEbNCylc2ODhyM6aBjMB/dmOVUfyLn9/zf1r5ZWF0SDEYIgsObQQVE2lNvb2/H888/D53Uj4muFKBkQC/uwzuvG+vXrYTQaMWzYMAwblvjBG4lEEIlEEA6HO//Z2tqKgN+HSKAdqhzDnAumYurkCXzcjIh6JdLmQtvazQCAtjWbEGl3w1JZrnMqovRpmoa2dhdEgw2lpaWwWq16RyIi0kUwGMQf/vAHtJw8gYivFRAExExWbN7kwwcffABJkjBo0CCMGDECJpPpjFqjo/5ob2+Hx+NGNOCGHAthcvNYXDxrWtqznIkoO2IXToNmkCDkaKPT84nPpnf+xz+H2id+mqU0faMZJMRmTdM7BuWQxFORiYYy11Duf0XXUHa5XIlmsifRTK6uLENpiRMHDh1FKOSFKBoQM1mxbWsAO3Yk1g/SNBXQVGiqesa/xyJ+WM1GfOLjV2JgY73OfzIiymetqzee83XTVZfolIao9zxeP6KxOCxmI2cKEFHRCofD+OMf/4gTJ44j4muFw27GgPpa7D94BGGvD4IowWC0YPfOIPbt25e4SEvUGtqpWgOaBk1TEY8EIAkaPn75xRgzKrWZhkTUP7SyEgS+exucP3tM7yjniAwfA8/V16V1jeea61C68GVY9mzPUqreC3z3dmilJXrHoByhKAra2t0wWEtQVVXV4yoDlHlF1VD2+Xx4/vnn4XG3I+xrQXVlGT77qatgtZgRj8s4dOQY9u4/hL0HDiPga016L0kUMXTgAFw+90I4HPZ++hMQUaFqWbnhnK/ZUKZ81Np+akM+AzfHIKLiFIvF8Mc//hHHjx1FxNcCu82Mz15zFcrLSqAoCo4cO4l9Bw5jz76D8Pjakt5LFATU11bjsktmoZpPLhHlpNCNnwc0wPGr3+TETGW5vBL+iy5H6ze+CxjSbLIZjDj06J9R/bsH4Vy2EAaPKzsh06AZJAS+extCN35O7yiUQ1xuLxRVhYkb8ummqBrKb775JtyudoR9ragsL8Vnrp4PqyWx3rHRaMCwIQMxbMhAaJqGEy1tOHGyDUajBIvZDLPZDIvZBIvFDLPJBKPRwOUtiCgjYh4fPNt3n/GaZ9suxLx+mEqdOqUi6p2W1nYIgghRlDi4I6KitHTpUhw9egRhXyusZiOuvXo+yssSs+okScKgpgYMamrAxbOmod3twdFjJyGKIsxmEyyn1xxmE0xGI2sOojwQ+srnEZsyEaXf/iEMh46mda3iLMWJux5AuHlK34OIEpTScqAPPzc0qw0td/4QLd+6H5LXDah9b5Jbt6xH3cM/hOT3pnWdPHAAvA89ALl5TJ8zUGFpaWsHAIgSn4rUS9E0lA8ePIgdO3YgFvLCbjXjs9fMh93W9bqOwqmZAPW11f2ckoiKUeuaTYCqnfmiqqF19UYMuHy2LpmIequ1zQXRwA35iKg4ud1urFq1CvGwHyJUXHvNlaisKOvyXEEQUFVRjqoKzjwmKgRy8xi4Xn4WzgcegvW1hSlfJ/m9aPjxXWj/0u1o/8I3gFxZI10QoJRV9O0eiozKP/0OlX/4DQRVTevS8NXz4b//Lmh8Ipy60NLqgigaIIgiaw6diHoH6A+apmHhwoVQ5CjkWAizZkyB3W7TOxYREQCgZeX6rl9ftaHL14lyWUtbOySDEWazGWVlZXrHISLqV++88w7isSjiYT+mTBrHZSqIiozmsMP34P3w/uIHULuZwNYVQVVR9dxjaLrryzC0HM9iwv5jaDmOprtuRNVzj6fVTFZtVnh/8QP4fvkDNpOpWy1t7RBPLelSW1urc5riVBQN5a1bt+Lo0aOIBT2orqzAuNHD9Y5ERAQAiPuDcH+ws8tj7i07EA8E+zkRUe+FI1H4/MHOR8/4mDYRFZMjR45g69atiIW9sFrNmH7+RL0jEZFOItfMh+vlZxEfNyqt62xb1mHwTdfA8d7bWUrWPxzL3sLgm66Bbcu6tK6Ljx8N1yvPIXLN/Cwlo0KgaVpihrJkhMPhgMPh0DtSUSr4JS/i8TgWLVoEJRaGIsdw8aypEMWi6KMTkc5Cx05i34JXEfd33xSOB4LQlK7XJdMUBRt/9AiMST6ZNzrtGHrd1bA18FNZ0t/WbbsAAKLBzEfPiKioaJqGt956C4ocgxwN4eI5F8BsMukdi4h0pAxuguuvv4fjkd/D/syClK+T/F4MuP8OuD95HVpvuxua2ZLFlJklRCOo+c3PUfbaX9O+Nvi16xH41i2AKc2NBKno7Nl3CJFoFNaSEtTX1+sdp2gVfEN59erV8Hg8iIW8GDKwEYMHNuodiYiKxIEX38TJ99f26R7+vQd7PEc0GTH2jq/06X2I+ioQCGLFmg0wWhyQDEZMmjRJ70hERP1m+/btOHjwIGIhDyrKS9E8bqTekYgoF5iMCNz9TcQumIqSu38Mqd2d8qXlry2Abcs6HLv/IcSG5P7PFNP+XWj4n2/DfGB3zyefRqmqgO8X9yE2a3qWklEhicdlLH5vFSSjBaLBjPPOO0/vSEWroKfqBoNBvPfee5AjAWiagjmzpukdiYiKSOXkCX3aYTklgpB4HyKdLVm+BnFZhclaiilTpnC2ABEVDUVREk9ExiNQ4lHMuWAqpFzZVIuIckLsoulwvfYHRNNsmpoP7Magb1yL0tf+CmhazxfoQdNQ9uoCDPrGtWk3k6OzpsP16vNsJlPKVq/fDK8/ALO9DMOGDcOYMWP0jlS0CrqhvHTpUkTCIcTCPjSPHclNMYioX9VeeD7O+9GdMHezu3tfmSvKcN4Dd6H2wvOzcn+iVB06chzbd+2DyVYKm92OSy65RO9IRET9Zu3atWhvb0cs5MHAxnoMGzJQ70hElIPUqgp4nvoV/Hd/E5ox9YfFxVgUdY/8CA0//E+IPk/2AvaC6POg4f47UPu/D0CMRVO+TjMa4L/7m/A89SuoVRVZTEiFxO3xYe2GD2CyOmEwmnHllVdyzxYdFWxDua2tDevWrUMs7IfRIOLC6ZP1jkRERaiieQymPXI/qqZmdmOeqqkTMe2R+1ExYXRG70uULkVR8M7SlZAMJhjMdsybNw82m03vWERE/SIcDmPp0qWQo0FoqoKLL5zG4paIuieKCH31OrgW/A7yoPSW43S+9zYG33QNrJv7tqReplg3r8Xgm66B8/1FaV0nD2qE66+/R+ir1wHc34rSsPi9VVA1wGgtwcyZM1FdXa13pKJWsH973377bcjxGOIRP6ZObobdzuKWiPRhKnGi+Z7bMfLm6yCmMRuhK6LRgJE3X4fme26HqcSZoYREvbfpg+1oc7lhspdjwIABXMeMiIrKsmXLEAoGEQt5MXbUMNTWVOkdiYjygDxhDFwvPYPwNfPTus7YegJNd30Zlc89BihyltL1QJFR+eyjaLrryzC2nkjr0vCnroTrpWcgj+ekGErP3v2HsPfAYZhsZSgpKcXs2bP1jlT0CnJTvpUrV2Lnzp2IhTxw2G04f9J4vSMRUZETBAFNV12CsjEjsPWhJxE6mt7gCwBsjfUY/+1b4BzMzUUpNwSDISxfvQFGsx2SwYSrrroKImeaEFGR2LZtG1avXo14xA9JFDBrxhS9IxFRHtEcdvh+8QPELpgG548ehBgKp3SdoKqoev4J2DauxvH//iXk2oYsJ/2I4eQx1P+/78L2wfq0rlNtVvgf+C4in7wiS8mokMmyjHeXrYJkNEMyWXH55ZfDbDbrHavoFVzVt3jxYvz73/9GLOyDHAtj9gXnw2QyJr0mHIni2IkWhCOpr/lDRNQbziFNmPbQfXCk2RR2DG7EtF/dy2Yy5ZSlK9YiFldgspVi8uTJaGzk9ycRFYdNmzbhH//4B2JhP2JhH6ZOnoASp0PvWESUhyJXXwHXK88hPiG9zcVsW9Zh8E3XwLJ9S5aSncmyfQsG33RN2s3k+IQxcL36HJvJ1GtrNnwAj88Ps70cQ4YMwfjxnDSaCwqqoXzo0CEsXboUsZAXsZAXF06fjLGjhie9ZtHSFZg+71pMnvMpTJ93LRYtXdFPaYmoaAkiwifb0rokfLINAmd+Ug45cuwEPtyxByZbKaw2Oy699FK9IxER9Qufz4d//vOfiIX9iARcGD9mBC6YxuV+iKj3lEGNcP3ltwjedENa10kBHwbc83VIbSezlOzU+7SdTLxPwJfWdcGbvwDXX34LZSAnHVDveH1+rF63GUZLYiO+q666insV5IiC6k6sXbsWqhJHPOLHRTOn4IJp5yX9RnN7fLjjez9GS2s7AKCltR3/+b2fwO1J74ckEVE6XJu3QQlH0rpGCUfg2rQtS4mI0qOq6hkb8V166aWw2+16xyIi6hcbNmyAHI8jFvJgwpiRmH/pRVzuh4j6zmRE4Lu3wf30w1CqKlK+zOB1o+TdN7MYDCh59w0YvO6Uz1eqKuB+5hEEvnMr0MMT40TJLH5/NRQNMFlLMH36dNTU1OgdiU4pmJFPKBTCtm3bEI8EYbVYUlo3+fWFi89pHrs8Xrzx1pIspSQiAlpXpveYWIeWVRsynISodzZt3YGWNhdM9jLU19djyhSuG0pExUFVVaxfvx5yLAQAuHDGZM6UIqKMis2ajvbX/oDoRTNSvsayc2sWEwGWnR+mfG509gy0v/YHxC6clsVEVAz2HzyC3XsPwmwrg7OkBHPmzNE7Ep2mYBrKmzdvhizLkKNBjB8zHAZDz/sNdtc4fmNh168TEfWVKstoXbu5V9e2rtkEVdZpN2eiU4KhMJavWn9qIz4zPvaxj3FmHhEVjd27d8Pn8yEeCWD4kIFwOvh0BhFlnlZZDs+TD8J/zx3QjD33NuSKqqzmSeX+mtEA/z3/Cc/vH4RWWZ7VPFT4ZFnGO8tWQjIkNuK77LLLYLFY9I5FpymYCnDXrl1Q4hFomooJY0f1eL7H68P7q7qeJfjeqnXweLnsBRFlnnvrTsiBUJfHqqdPwswnfoKqaZO6PC4HQnBv3ZXFdEQ9e2/FOkRjMky2UkyaNAlNTU16RyIi6je7du2CpspQlTjGjxmhdxwiKmSiiNCNn0fwG1/u8dTI2ElZjRIZM7HHc4Lf+DJCN34O4EQDyoB1m7bC7fHBbC/HoEGD0NzcrHckOktB/E2PxWI4dOgQlHgEZSVOVFaU9XjNwnffhywrXR6TZQVvLV6e4ZREREDLynOXrRCNBoz6+g2YcPdtsDXUovn7t2HULddD7GI2Qm+XyyDKhGMnWvDB9l0w2Uphsdowb948vSMREfUbTdOwd+9eKLEIDJKEQU0D9I5EREXA1M1EuA6qyYzAjNlZzRCYMRuq0ZT0HNNqLs9HmeHzB7BqbWIjPslo4kZ8OaogGsoHDhyAoihQYhEMHpTa7qE9LWvBZS+IKNM0RUXr6o1nvGZvqsfUB+9F4/yLO39JCoKAxivnYuqD98LeVH/G+S2rN0JT1H7LTNShYyM+UTLCYLZj7ty5cDgcesciIuo3LpcLHo8HcjyCAQ21MKbwGDoRUV+IbS4Y1yVfLi84dRY0a3aX39FsDgSnzkp6jnHdZgjtqW/cR9SdJe+vgayoMFlLMHXqVNTV1ekdibpQEA3lvXv3QlVkqKqMwSnMFPAHgljy/pqk5yx5fw0CgWCmIhIRIdLuRtzr7/x6wBVzMPXBe+Ho5oMwx6BGTH3wXgy4/KMZB3GvHxEO1EgHWz7ciRMtbTDby1FXV4dp07jRChEVl71790LTNKjxaEo1BxFRX5kXLYOgaUnPCcy5ol+y9PQ+gqrCsmhZv2ShwnXw8FHs3LMfJnsZHE4nLrnkEr0jUTcKpqGsxCMQBQFNjT1/crFoyQrE4vGk50RjMSxaujJTEYmIYKksR92cGbA3NWDC927F6G98AZLZnPQayWzG6Fu/iAnf+wbsTQ2ou3gGLFXc5IL6VygcwXsr18NgtkEymnHVVVdxIz4iKjp79uyBKkehQcPggWwoE1H2md9akvS4ZjAiMPPifskSuGAuNIMx6Tk95SVKRlEULFq6EpLBBIMpsbweN+LLXXn/nJbH40FbWxuUeAT1dTWw9NCcAYDXU/wh9/rCJbjmY1wfkogyQ5BEjPvW13p1bc3MKaiZOSXDiYhS8/6q9YjGYrCW1WPChAkYNGiQ3pGIiPqVoiiJZfbiEdhtVlRXVegdiYgKnOD2wrQq+brEwSkzoTpK+iWP6ihBcPIMONa81+05plXrIXh80Mr6JxMVlg2bt8Hl9sJaWoumpiZMmjRJ70iURN5PL+p49EyJR1KaKRAKR/DuslUp3fudZSsRCkf6GpGIiChvnTjZii0f7oTJWgqLxYrLL79c70hERP3u8OHDiMVikGOJmoObAxFRtpnffR+CoiQ9J3BRGuMyTYN95WIMuPtmDLrl0xhw982wr1wM9LCkxhnvNzv5+wmyAvO73TeciboTCASxYs0GGC0OGE49EcnftbmtIBrKqhyDpqX26Nni91Yh3FWTuItp9OFwBEveX52JmERERHlH0zS8s2wlBNEAg8WBiy++GE6nU+9YRET9bu/evVBVBaoS5/rJRNQvLD0tdyFKCMy6NKV7SV43Btx3Gxr/+1Y41rwHy+5tcKx5D43/fSsG3HcbJG9qe7QELrwUWg/LnlneWprSvYhOt2T5GsRlFSZrKaZMmYKGhga9I1EP8rqhrKoq9u3bByUegcVsRl1NVY/XvL5wSdcHPvaxrs//9+I+JCQiIspfW7fvxrETrTDby1FTU4Pp06frHYmISBcde7YAwKAmFrlElF1CIAjT8rVJzwlNnAqltOe9VawbV2HQTVfDsaLr3oZjxWIMuulqWDf2/CS3UlaB0MSpSc8xvb8GQiDY472IOhw6chzbd+2DyVYKu8OBSy9N7YMS0ldeN5SPHTuGSCQCJR7BoKaGHjcIisZieHvx8nMPlJcD06Yl/nmWt5esQDQWy1RkIiKivBCORLF0+VoYTB9txCdJkt6xiIj6XTAYxPHjx6HEI6ipqoDdbtM7EhEVOPPi5RDi8aTnBOZckfwmchxV//cImr79FRjbWpKeamxrQdO3v4Kqp/8XkHt439nJ31eIx2FesiJ5NqJTFEXBOx0b8ZntuPTSS2G1WvWORSnI64by3r17oakKFDmW0nIXS5evRSAYOvfAhAmAKCb+eRZ/IIhlK9ZlIi4REVHeWL56PSLRKEz2MowbNw5DhgzROxIRkS727dsHVVWhxFLbs4WIqK/MPS13IQjwXzSv2+PG40cw8L++gMo//x5CimskC5qGyj/9DgO/9UUYThzp9jz/RfOg9bC2bU/5iTps+mA72lxumOzlGDBgAM477zy9I1GK8rqhvGfPHijxKACkNLh7o7sfah2N5C4aygDwRnfLZBARERWgltZ2bPpgB4ynNuK74ooeZsAQERWwvXv3QlXi0DQVgwc26h2HiApdKAzzsuTLT4THT4ZSUd3lMee7b2LQzdfAum1zr97e+uEmDL7pU3Au/leXx5XKGoTHJW/6mZetAkLhXr0/FY9gMITlqzfAaLbDYDTjYx/7WI8rD1DuyNv/UpFIBEePHoUSj6CivBQlTkfS8+NxGQvf6WK30ZISYODAxL8PHJj4+iwL330P8bicidhEREQ5TdM0LFqyAoJogNHiwOzZs1HSxe9GIqJioGla5/rJRoMBA+pr9I5ERAXOvGwVhEg06TmB2Zef85oQDqH2l/ei4cd3QQoG+pRBCvrR8D93ovbB+yCEz33Ku6v3PzNLBOb3el6TmYrb0hVrEYsrMNlKcd5552HAAD4FlE/ytqG8f/9+KIoCJR7BkBRmCixfvR4er//cAx3LXQCJf44ff84pbo8PK9Zs6GtkIiKinLdt5x4cPdECs70MVVVVmDlzpt6RiIh009raCr/fDyUeQdOAOhgMBr0jEVGBs6SwXIT/osvO+Nq8ZzsGff0/UPavFzOapezNFzDo6/8B857tSd+/K+a3lmY0CxWWI8dO4MMde2CylcJqs3MjvjyUtw3lffv2QVNlqKqS4nIX3fwwO3uZi+bmrq/nshdERFTgItHTN+KzcCM+Iip6e/fuhaapUOOp7dlCRNQn0ShMi5cnPSU8uhlybUPiC01D2Yt/wMDbPgvz4f1ZiWQ+vB8Db/ssyl78A3BqPWa5bgDCo7teMrTzusXLgVgsK5kov6mqes5GfHa7Xe9YlKa8bSi7XC6op3Yfravteu2gDoqi4F+Llp17wOEAzt5kaMgQoItv5DcXLYOiKL3OS0RElOtWrN6IUDgCk60UY8aMwbBhw/SORESkK7fbDVWRoUFDfR2XuyCi7DItXwuxh7WHO5abkDwuDPjvb6D28Z9CjMdTfg/NZEL4Mx+HZjSmfI0Yj6P28Z9iwL23QvK4zsjR7TXBEEzL16b8HlQ8Nm3dgZY2F0z2MtTX12PKlCl6R6JeyNuGciQSgaapEAQBVos56bmr129BW7v73APjxn203EWHbpa9aGt3Y82GD/oSmYiIKGe1trmwccs2GK0lMHMjPiIiAEA4HAY0FQBgtVh0TkNEhS6l5S5mXw7b+pUYfNPVcKxKb1kJeegguP7xJHz/7x64XngK8tBBaV3vWLkEg2+6GrYNq+DvoaEMpPbnoeISDIWxfNV6GM12SAZuxJfP8va/WjgchqapMJtMEAQh6blvdPdD7OzlLnp4ncteUH9SojF4tu2GEuVjQkSUXZqmYdHSlYAowWhx4qKLLkJZWZnesYiIdBeJRKCpiYay2WzSOQ1R5rHmyCGxOMzvvJ/0lOjgESh98wU0fverMLS3pnX70Gc/ifYXn4Y8egQAQB49Au0vPo3QtZ9I6z6G9lY0fucrKH3zRUQHDU96rvmd94C4nNb9qbC9t2IdojEZJlspJk2ahKamJr0jUS/lbUM5EokAmgpLDwM7VVW7bgRbrcDwbn74DRuWOH6WN95aAvXUgJIo27Y+9CTW3/tLbH34Kb2jEFGB27FrH44cOwGTrRyVlZW44IIL9I5ERJQTOiaxAOix7iDKR6w5codp9QaIPn/ycw7uQeVfnoRwai3jVKhOBzz/+2P4f3w3YDurz2Gzwv+T78PzyP9AdTpSvqegaaj8y5MwHdqb9DzR64dp9fqU70uF7diJFnywfVfnRnzz5s3TOxL1QV43lDVVg8mUfN2fDZu34URL27kHxo4FuttoyGBIHD/L8ZOt2LhlW2/iEqUl0uZC29rNAIC2NZsQ6WrJFiKiDIjGYliyfA0MJisMJguuvPJKGAwGvWMREeWEaDQKTdNgNBj4SC4VHNYcucWcwvIQ6TSSASB23gS0v/o8oldekvS86FWXov2V5xA779zlP/uax/xWestyUGFSVRWLlqyAKBlhMNsxd+5cOBypf4hBuSdvR0UOhwOCKMEfCCU97/Xufig3Nyd/g26Ov85lL6gftK7emPRrIqJMWblmI4LBMEy2MowaNQojRozQOxIRUc6w2+0QRQlxWUY4EtU7DlFGsebIIYoCy6JlGbudJggI3HYj3H96HOqAupSuURvr4f7TEwjc+mVoPSwrmg7zomWAomTsfpSftny4Eydb22G2l6Ourg5Tp07VOxL1Ud42lCsrKyFKBoQjEYTCkS7P0TSt6+UuzGZg5MjkbzBiROK8s7zx1lJoaX4qSJSulpUbkn5NRJQJbS431m/6EEZbCUxmC+bPn693JCKinFJVVQVBSjy14fZ4dU5DlFmsOXKHcd1miC5PRu6l1FbD/fyjCP7XzYmnr9NhMCD4rVvgfv5RKDVVGckjtbthXL8lI/ei/BQKR/DeyvUwmG2QjGZcddVVfOqnAOTtf8GqqiqIhsRyF4ePHu/ynA+27er62JgxPf9gNRoT553l0JFj2Lp9d9p5iVIV8/jgOet7zLNtF2Le5OtpERGlQ9M0vLN0JSAkNuKbNWsWysvL9Y5FRJRTqqqqIEoGCBBw+EjXNQdRPmLNkVssCxdn5D6RSy9C+6vPIz59cp/uE58+Ge2vPo/IJbMykitTfz7KT++vXIdoLAaTrQzNzc0YNGiQ3pEoA/K2oTx69GiIkhGSwYSt23Z1ec7r3f3QmjAhtTfp5rxu70uUAa1rNgHqWbPgVY2PoBFRRu3csx+HjhyHyV6G8vJyXHjhhXpHIiLKOSNHjoQgiJBMVnywbRefVKSCwZojh6hqn9cZ1kwm+O7/NrxP/AxaeWlGYmkVZfD+5ufw3X8XNFPfNiU1v7UUUNWM5KL8cuJkK7Zs2wWTtRQWixWXXXaZ3pEoQ/K2oTx06FCUlZXBYLZj/6Gj8PkDZxzvdrkLoxEYPTq1Nxk9OnH+Wd5YuISDScqalpVd74LbsoqPoBFRZsRicSx5v2MjPivmz58PYxe/74iIil1FRQWGDBkCo8UOt9eHw0dP6B2JKCNYc+QO46YPIbW29/p6efhguF74P4Rv+DSQwbWPAQCCgPAN/wHXP56CPGxwr28jtbTBuHlb5nJRXtA0DYuWroQgGmCwOHDxxRfD6XTqHYsyJG8byoIg4LzzzoPBZAOAc5ah2LF7P/YeOHzuhaNHA6l+umYyAaNGnfPynv2HsHPP/rQzE/Uk7g/C/cHOLo+5t+xAPBDs50REVIhWrduEQCAEk60MI0aMwKguftcREVHC5MmTIRrMEEUDPtjW9TiNKJ+w5sgt5reW9Pra0OeuRvsLT0MeNSxzgbogjx6O9hefRuhzV/f6Hn35c1J++mDbLhw/2QqzvRw1NTWYPn263pEog9JcoT11iqLgpz/9KV5//XW43e6svIeqqnC73dA0Bc/9+SWUlDg6j/m7+yWY6nIXHZqbga1bz3n52hv/C06HPb17ZUBpiROXXXwB/usbX4IkSf3+/tR7oWMnsW/Bq4j7ux+gxQNBaN3sgKspCjb+6BEYk3zfGZ12DL3uatgaavucl4gKk8vtxbqNW2G0OmE0mTF//nwImZ7NQkRUQMaMGQObzYZ42I7dew9C0zT+3KScxZojz2gaLL1otKolTvh+cjeiV8zNfKbuWC3w/8/3ELtgKkp+8AuIvvTW27YsXILA927P/CxqykmRaBTLVqyDwfTRRnzsYRWWrDWU77zzTjz22GPZun2X2lw9NK4lqcuN9pIaMyZx3Vm/cFvbXGhtc6WZMDM2btkGl9uLn9z3LV3en3rnwItv4uT7a/t0D//egz2eI5qMGHvHV/r0PkRUuPbsOwhV1WCxOnH++eejsrJS70hERDnNYDBgwIAB8HvaEQnLCEeisFktesci6hJrjvxi2L4bUppL6cSmNMP7qx9CbajLUqrkovPnon3CGJR+5wGYNmxJ+Trp6HEYtu+GPHZkFtNRrjh05DjCkQhsZXUYMWIEhgwZonckyrCsLHmhKAqef/75bNy6b0aOBCxpDv4slsR1Oebvr/wLKhe1zyuVkydk/9NYQUi8DxFRN2prqqBBgyrHs/YEERFRoXE6nRDExMyqYDDUq3so0Rg823ZDicYyGY3oDKw58othd+pLaWqiiMA3vwr3Hx7TrZncQR1QB/cfH0Pg9q9AE1NvKxm4dGjRqK1OTFpR5NiplQW4D1mhyUpDWZIkWK3WbNy6b5qb+/e6LLJYzBDT+MFN+qu98Hyc96M7Ya4oy8r9zRVlOO+Bu1B74flZuT8RFYaBjfVwOuyQo0Hs2bMHwSDXSSQi6snpDeVALxvKWx96Euvv/SW2PvxUJqMRnYE1R34RQqn9PFHqauD+w2MI3vE1wJC1B83TYzAg+J83wf38o1DqalK6RAiFsxyKckVpiRNNA+ogR4Noa2vDsWPH9I5EGZa1juRdd92VrVv3Tm0tMGlS766dNClxfQ655cuf0zsC9UJF8xhMe+R+VE2dmNH7Vk2diGmP3I+KCaMzel8iKjyCIGDYkIGQ4xGoqsrBHRFRCk5vKHe7V0sSkTYX2tZuBgC0rdmESDufEKHsYc2RP6Kzet6kLHLZbLS/+jziUydlP1AvxKedh/ZXnkNk3uwez41eOK0fElGuGDF0EJR4FJqm4siRI3rHoQzL2kdb3/3ud6GqKu677z4o3Sz436m6GsjWGo6iCNTXA3Pm9P6TPIMBuP12YOlS4PhxIFtLTbS1Jf6XNIqEu//rFtx+0/XZyUBZZypxovme23HkX4ux57l/QI3Lvb6XaDRg+I3XovHKudwchohS1tbuhiQZAYBrKBMRpaCkpASCIEAQxF7NUG5dvfGcr5uuuiRT8YjOwZojP6hNDQjd8GnY/vzSOcc0swn+e/4T4c9fk/Mb2WnlpfA+/lPEFrwC588fhdDF0j6hGz4NtalBh3Skl7Z2N0TJAEEQWXMUoKw1lAVBwPe//31cfPHFuP7667F/f5K1ctxu4KKLgBkzcvcHpdUKzJ+fnXtrGrByJfDPfyY9bWBjA3738I8weeK47OSgfiMIApquugRlY0Zg60NPIpTmRgwAYGusx/hv3wLn4MYsJCSiQqVpGo4dPwmjtRRlZWWoqKjQOxIRUc5zOp0AAEGUetVQblm54Zyv2VCmbGPNkR/8934LalkpbH96AaLXD00QEL30IgT+62YoI4fqHS91goDw9Z9C7PyJcPz6KZjfeQ+CpkEtdSL0hc8geDs3cSw2R46fhGS0QJIkDBo0SO84lGFZX3xnxowZ2LhxI2699VYsWLCg65NkGXjpJWDXLuDaawGbLduxckcoBPzjH8DWrUlP+9THL8MvfvQdlDgd/RSM+oNzSBOmPXQf1n3/5wgcSP0REMfgRpz/8+9DMpuzmI6ICpXVakFcUxAOh6GqKtfkJyLqQUdDWRQlBNJc8iLm8cGzffcZr3m27ULM64ep1JmxjETdYc2R4yQJwf+8CcFbvgjR44VmNkMrL9U7Va8pI4fC+8TPILi9EKJRqGWlgIXfQ8XIarHAF/RBURREIhEYjUa9I1EG9UsFWVpaij//+c949tlnYbfbuz9x61bg4YeBffv6I5b+9u1L/HmTNJNtNit+/fN78Ztf/ZDN5EIliAifTL7UydnCJ9sgsAFERL0gCAKaBtRDiUcRjUZx/PhxvSMREeU8h8MBs9kM0WBES5srrWtb12wC1LN2t1e1c5bBIMoq1hy5z2KGWleT183k02nlpVDrathMLmIDT9UcmqbhwIEDesehDOu33w6CIODGG2/E+vXrcd5553V/otcL/O53wFtvAT2tvZyvFAVYuDDx5/R6uz1twtiRePulZ/C5T13FtaoKmGvzNijhSFrXKOEIXJu2ZSkRERW6pgF1UOQYNE3l4I6IKAWCIKC+vh6iZII/EEQwjWUvWlau7/r1VRu6fJ0oG1hzEFF/a2qsg6ap0BSZNUcB6vePG0eNGoWVK1fizjvv7P4kTQPefhv4/e8T6ysXErc70UhetCjx5+zG17/yebz+t99j2JCB/RiO9NDaTZHRExYhRNRbTQPqAQBKPMrBHRFRihoaGiAaTACAk63tKV0T9wfh/mBnl8fcW3YgnubyGUS9xZqDiPpbQ10tJFGEIkeS76tGeSnrayh3xWw24+GHH8a8efNw4403orW1tesT9+8HHnkE+MxngObm/g2ZDVu2AC+8AITD3Z5SWVGGR39+Hy6dM7Mfg5FeVFlG69rNvbq2dc0mqLIM0aDLX2MiymMV5aWw26yIy1EcPHgQiqJAkiS9YxER5bSGhgYIogRBEHGipQ11JhP2LXgVcX/3TeF4IAitm6cuNUXBxh89AqOj+yUBjU47hl53NWwNtX3OT8WLNQcR6cFoNKCuthon231wuVzw+XwoKSnROxZliK6/Fa666ips3rwZX/rSl7Bo0aKuTwqHgT/+EZgxA/jEJwCTqX9DZkIsBrz2GrB6ddLT5lw4FY/94geoqa7sp2CkN/fWnZADXT8yWT19EoZ/6TPY/fwLaFuz6ZzjciAE99ZdqJw0NsspiajQCIKAgY312LXvCGKxGI4fP47GRu7eTkSUTENDAwRBgGgw4WRLGw6s3oST76/t0z39ew/2eI5oMmLsHV/p0/tQcWPNQUR6GdhYj2MnWjvXUW4uhMmiBECHJS/OVl9fj4ULF+IXv/gFDMk+9Vy1Cnj0USDfNg86diyRO0kz2WCQ8IPv3oYF//cwm8lFpmXluY+QiUYDRn39Bky4+zbYGmrR/P3bMOqW6yEaz/370dtH14iImgbUJ9ZRVhXs3Nn149hERPSR8vJyWCwWSAYjTrS0oXLyBCDb+5wIQuJ9iPqANQcR6aVpQD00TYWqxFlzFBjdG8oAIIoivve972H58uUYOnRo9yeePJlozq5YkXT94ZygacDy5cBjjyVyd2PwwAH454Lf4/abboDIHXSLiqao5+zubW+qx9QH70Xj/Is7N2IUBAGNV87F1Afvhb2p/ozzW1ZvhKao/ZaZiArH8CEDIQoC5FgYmzdvhqryZwkRUTKCICTWUZZMCARDsE8cg/N+dCfMFWVZeT9zRRnOe+Au1F54flbuT8WBNQcR6amxoRY2qwVyNIQdO3YgnGQJWMovOdXBnDZtGjZu3Ijrr7+++5NkGXj5ZeD554Fgjm5iEQwm8r3ySiJvN/7jE5fj7ZefxXnNY/ovG+WMSLsbca+/8+sBV8zB1AfvhWNQ14+dOwY1YuqD92LA5bM7X4t7/Yi0F9jGlUTUL+x2G4YMaoQcDcLn83FzPiKiFNTX13duzHeipQ0VzWMw7ZH7UTV1Ykbfp2rqREx75H5UTBid0ftS8WHNQUR6kiQJY0YOgxwNQpZlbN26Ve9IlCE51VAGgJKSEvzpT3/C888/D7u9+w0q8OGHiQ379u7tv3Cp2Ls3kevDD7s9xW6z4rFf/ABP/OqHcCbZhIMKm6WyHHVzZsDe1IAJ37sVo7/xBUhmc9JrJLMZo2/9IiZ87xuwNzWg7uIZsFSV91NiymVKNAbPtt1QojG9o1AeGTt6OBQ5BlWJY9OmTXrHISLKeadvzHeytR0AYCpxovme2zHy5uu6XC4gHaLRgJE3X4fme26HqcSZichU5FhzUCax5qDeGD9mBDRNhRKPYPPm3m0QSrlH0LTcXTti9+7d+PznP48NG85d86mTIACXXgrMmwfouUO9ogBvvw28+27S5Tiax43C7x5+AEMHN/VjOCIqdJt/+jja1m5G1bRJmHjP7XrHoTwhyzJ++8xfoYom2Eur8Z3vfAfmHopMIqJi5na78etf/xphXysGD6jGpz9x+RnH/fsPY+tDTyJ09ETa97Y11mP8t2+BczA3SSWi3MSag3rr+QUvw+ULw+Kswje/+U1UVVXpHYn6KOdmKJ9uxIgRWLlyJb797W93f5KmAYsWAb/9LeDW6TEctzvx/u+8k7SZfOtXr8Prf/09m8lElFGRNhfa1iY+6W1bs4mPJFLKDAYDRo8cing0hFgshm3btukdiYgop5WVlcFqtUIymHCipQ1nz81xDmnCtIfugyPNprBjcCOm/epeNpOJKGex5qC+GDd6BORYGJqqcJZygcjphjIAmEwm/OpXv8K///1v1NTUdH/iwYPAww8De/b0Xzgg8X4PP5x4/25UVZZjwf89jB/e/U2YTMZ+DEdExeDsjVbO/poomXGjh0NTFSjxKJe9ICLqQefGfAYjgqEwAsFQFyeJCJ9sS+u+4ZNtELhBNxHlMNYc1BdjRg7lhuAFJm9GLVdccQU2b96Myy+/vPuTIpHEZniRSP+EikSA555L+n5zZ03H4tf+gLkXTe+fTERUdFpWbkj6NVEy9bXVqCgvhRwN4uDBg3Dr9bQPEVGeaGhogCid2pivi8axa/M2KOH06hElHIFrE58SIaLcxZqD+sJut2Ho4KbODcH379+vdyTqo7xpKANAXV0d/vWvf+HBBx+E0djNTN9IBDh0qH8CHToERKNdHjIaDfjh3d/En5/6FaqrKvonDxEVnZjHB8/23We85tm2C7HTdvMmSkYQBIwfPQJKLAxNVfkIGhFRD+rr6z/amK/l3IZy68r1vbpvyyo2Z4goN7HmoEzo3BBcjrPmKAB51VAGAFEU8Z3vfAcrVqxAdXV11yeVlPRPmG7ep6qyHP9c8Dvc+tXrIPLRNSLKotY1mwD1rLXbVY2PoFFaxo4eDgiAHAth8+bN56wJSkREH2loaIAgCJ3rKJ9OlWW0ru1dkdy6ZhNUWc5ERCKijGLNQZkwbHATLGYz5FgQ27dvR7SbCZqUH/K22zlhwoSuv/nKy4Ha2v4JUVubeL+zRKMxjBk1rH8yEFFRa+lmFhRnOVE6nA47BjU2QI6G4Ha7sW/fPr0jERHlrNLSUthsNogGE062nrkxn3vrTsiBLtZVBlA9fRJmPvETVE2b1OVxORCCe+uubEQmIuoT1hyUCWdvCM5ZyvktbxvKixYtgs/nO/fAhAmAIPRPCEEAxo8/52V/IIj3Vq7rnwxEVLTi/iDcH+zs8ph7yw7EA8F+TkT5bPzYkVDkKJR4FO+88w5nKRMRdeOjjflMCIUj8J/2+7arNUVFowGjvn4DJtx9G2wNtWj+/m0Ydcv1EI2Gc87t7XIZRETZwpqDMql57EhoqgI5FsKyZcsQj8f1jkS9dO4oJk+8+OKLXR+YMKF/g0yYALz33jkvv7FwKebNuaB/sxBRwQgdO4l9C15F3N/9AC0eCEJTlC6PaYqCjT96BEaHvdvrjU47hl53NWwN/fRUB+W00SOGYM36zWj3enHs2DHs378fQ4cO1TsWEVFOamhowK5diQbLiZY2lDgd0BT1nMe/7U31GP/tW+AY1Nj5miAIaLxyLsrGjsDWh55E8PDxzmMtqzdi1C03QJDydt4PEeUR1hzU32prqjBi2CDs3X8UfpMNmzZtwtSpU/WORb2Qlw3leDyOV1999dwDJSXAwIH9G2bQoMT7njVbeuE770GWvwuDIS//LyYinR148U2cfH9tn+7h33uwx3NEkxFj7/hKn96HCoMgCJh+/kT889+LocgxvPfee2woExF1o6GhAaIoQRAlnGxpw8hhgxFpdyN+2gZVA66YgxFfuRaS2dzlPRyDGjH1wXux+5m/4+hbywAAca8fkXY3rDWV/fLnIKLixpqD9DDz/EnYvfcglFgYK1aswJQpU7j/WB7Ky/9iS5cuhcvlOvfA+PFAf38TiiIwbtw5L7s8Xqxcu6l/sxBRwaic3A/L9whC4n2IThk5bDDKy0oQD/uwf/9+HD16VO9IREQ5qb6+HgAgSUacOJnYmM9SWY66OTNgb2rAhO/ditHf+EK3zeQOktmM0bd+ERO+9w3YmxpQd/EMWKrO3aOFiCgbWHOQHmprqjBkYCNiYR9cLhe2bt2qdyTqhbxsKL/wwgtdH2hu7t8gPbzvP/+9uJ+DEFGhqL3wfJz3ozthrijLyv3NFWU474G7UHvh+Vm5P+UnURQxbXIz5FgYqhLHe10s6UREREBJSQnsdjtEgwknWhIb8wmSiHHf+hpmPPoAamZOTut+NTOnYMajD2Dcf30NAmdpEVE/Yc1Bepk2pRmqEocSj+D999/n/i15KO9GK4qi4OWXXz73gN0ODBnS/4GAxPvaz10z6F+LlkHpZq0hIqKeVDSPwbRH7kfV1IkZvW/V1ImY9sj9qJgwOqP3pcIwdtQwOOw2xMN+7NixA62trXpHIiLKOadvzBeJRuHzB/SORETUK6w5SA9NA+rQUFeNeNiHlpYW7N69W+9IlKa8aygvX74cLS0t5x7o7XIXmgbs2QMsW5b4Z28+FZGkLpe9aG1zYe3GD9K/HxHRKaYSJ5rvuR0jb76uy93g0yEaDRh583Vovud2mEqcGUpIhcZgMGDqeRMQjwahKjKWL1+udyQiopzU0VAGEhvzERHlK9Yc1N8EQcD0KROhyDEo8SifjMxDebdj3Isvvtj1gQm9WJMnEAD+/ndg+/aPXhszBvjsZwGHI717TZgArFlzzstvLFyCGedPSj8bEdEpgiCg6apLUDYmsRt86OiJtO9ha0zsMu8c3NjzyVT0mseNwoo1GyBHg9i1a5fecYiIctLZG/ONGq7T05JERBnAmoP627AhA1FRXgpfMIDDhw8jEonAYrHoHYtSlFczlFVVxUsvvXTuAasVGDYsvZvt3g08/PCZzWQg8fUjjySOp2P4cKCLb/w3317GtWCIKCOcQ5ow7aH74EhzgOYY3Ihpv7qXAztKmclkhCCIgCDAZDLpHYeIKCc1NDQAAKRT6ygTERUC1hzUXwRBgNlkgiAIEAQBRqNR70iUhrxqKK9duxZHjhw598DYsYAhxcnWigK8+Sbw1FOA39/1OT5f4vibbybOT4XBkMhxlqPHT2LjB9u7uICIqBcEEeGT6RWt4ZNt3OCH0hKNxRCJRiGKEkpLS/WOQ0SUk5xOJxwOB0TJhJOnNuYjIioIrDmon/j8AQiiBIfDAUmS9I5Dacirv+0vvPBC1weam1O7QXs78MQTwOLFPa+VrGmJ8554InFdKrrJ8fq/F6d2PRFRD1ybt0EJR9K6RglH4Nq0LUuJqBD5/EEAgCAaUFZWpm8YIqIcllhH2YhINAaPt5vJKkREeYY1B/UHWZYRDIVZc+SpvGkoa5rW9frJZjMwYkTPN9i4MbGUxeHD6b3x4cOJ6zZu7PnckSMTec7yxltLOGOBiDKideX6Xl3XsmpDhpNQIfP5Ek0RQZQ4uCMiSqKhoQHSqY35TrZy2QsiKgysOag/dExiESU+FZmP8qahvGnTJuzfv//cA2PGAMnWWYlGgb/9DfjLXxL/3o2Guprk9/jLXxIb+CW5B4xGYPToc14+ePgYPtyR5prMRERnUWUZrWs39+ra1jWboMpyhhNRofpohjIHd0REyTQ0NEAQJYinNuYjIsp3rDmov/j8HZNYOEM5H+VNQ7nL2ckAMGFC9xcdOQL87/8C69Z1e4rJaMSP//u/sG7xi/ife/4TRmOStZjXrgV+/evEfbvTTZ43Fi7p/hoiohS4t+6EHAh1eax6+iTMfOInqJo2qcvjciAE99ZdWUxHhcTn90MUDRAEgYM7IqIk6uvrAQAiN+YjogLBmoP6i9cXAMBJLPkqLxrKmqZ1vX5yNzOCoarAsmXA448Dbd0P7IYNbsIbf38SN3/5sxBFEbfc+Dm88bcnMWxwU/dhWlsT9122rOt1mEeP7nKDwNffWtr9PYmIUtCy8txHyESjAaO+fgMm3H0bbA21aP7+bRh1y/UQu/hwrLePrlHx8fmDEMTEphgc3BERde+jjfmMaHd59I5DRNRnrDmov/hP1RycxJKf8qKhvG3bNuzcufPcA6NGASbTma8FAsCzzwL//CegKN3e87r/+DjeeukZTBg78ozXm8eNwlsvPYPPf/pj3QdSlMT9n3km8X6nM5sTuc6ye+8B7NzTxZIdREQp0BQVravPXMvd3lSPqQ/ei8b5F0MQBACAIAhovHIupj54L+xN9Wec37J6IzRF7bfMlL98fj8EiQ1lIqJUVFRUQJAMCIbCiMXieschIuo11hzUn7x+P0ROYslbedFQ7na5i+bmM7/etQt46CFgx45u7+V02PG7hx/AIz+9B3a7rctz7HYb/vdn/43fPvQjOB327oPt2AE8/HDifZPlOoXLXhBRb0Xa3Yiftnv8gCvmYOqD98IxqLHL8x2DGjH1wXsx4PLZna/FvX5E2t1Zz0r5z+sLQBQNcDgcMHTx1A0REX2krKwMopj4Wen1B3o4m4god7HmoP6UeCoy8fuTM5TzT/42lCUpsSEfAMgy8MYbwFNPnTtj+DRTJo3DoleewzUfm5fS+37q45dh0SvPYvLEsd2f5PcD//d/wJtvfjQjesyYRL6zvPHWkpTel4jobJbKctTNmQF7UwMmfO9WjP7GFyCZzUmvkcxmjL71i5jwvW/A3tSAuotnwFJV3k+JKV8pioJgKAxBlDiwIyJKQXl5OQTpVEPZ69M5DRFR77HmoP7k9wcgShKsVitMZ68+QDkv56cd7dmzB1u2bDn3wMiRgMWSWCP5L38BDh9Oep8vff4a/L/77ky+6V4XBjUNwKt//i0efOz/8NiTf4LW1brJmgYsXgzs2QNcfz1QVQWMGHHOTOkPd+zBgUNHMHhg15/uERF1R5BEjPvW13p1bc3MKaiZOSXDiahQhcMRAInNMRwOh85piIhyX3l5OQRBhAABPs5QJqI8xpqD+lMoHIFocrDmyFM5P0O52+UuJkwANmwA/vd/kzaTHQ4Hrr1mPj7/Hx9Lu5ncwWg04L/v+gb+/uz/ora6svsTDx9O5Nm4MZGvC68v5OZ8RESUu8KRKABAEETYbF0vDUVERB9JNJQFCJIEz2mPihMREVHX4nEZcVkGRBF2e5KlZiln5XxD+YUXXuj6wAcfAAsWANFot9decskluPXWWzF44EB4MzC4u2jm+Xjntecx7+ILuj8pGk3MmN66tcvDry9c3OccRERE2RLqnKHMhjIRUSrKyxOPdguiAV4fG8pEREQ9CUdO1RycxJK3crqhfPDgQaxbt67rg9u3d3udyWTCo48+ihdeeAE2mw2CZIDXn5nBXVVFOf74u1/iJ/d+CyajsfsTu8m36YPtOHLsREayEBERZdpHgzuJgzsiohQ4nU5IkgRRMnCGMhERUQpOX2aPNUd+yumG8ksvvZT2NaNHj8aaNWtwxx13oLS0FKIoQhSljMxQ7iAIAm760rV48x9PYviQgWlf/+ZbXPaCiIhyUzh86skfQeDgjogoBYIgoKysrHOGcpd7rhAREVEnzlDOfzndUO52/eRu3HTTTVi3bh0mTpwIABBFMTG4k7IzuBs/ZiQWvvQMrv/Mx9O67o23lmQ0BxERUaaEIxEIogSBDWUiopSVl5dDFCXEZblz6SAiIiLqWsckFi6zl79ytqF87NgxrFixIqVzS0tL8be//Q1PPfXUOYt5JwZ3BkRj8c6NhjLJbrPi4f93D373yANwOlJbSHzNhg9wsqUt41mIiIj6KhyOQBASwwMO7oiIUlNeXg5BSmwAznWUiYiIkgtHIhAgAOAklnyVsw3ll19+OaUZxTNnzsSmTZvw2c9+tsvjHTOUAcCXxcHdNVfNwzuvPo8pk8b1eK6maXjz7WVZy0JERNRbiRnKbCgTEaWjYxILgIwutUdERFSIQuEIIIp8KjKP5WxDuaflLgRBwH333Ydly5Zh8ODB3Z7X8fgZAHiyPFtgYGM9XvnTb/Ctb3wZgiAkPZfLXhARUS4Kh6OcoUxElKbEGsoiBEHMes1BRESU78IR1hz5Licbypqm4f333+/2eENDA9555x38+Mc/hsFgSHqv8vLyzrUg212eDCc9l9FowPfvvAX/eO7XqKup6va8Neu3cMMOIiLKOeFIBIIgQRRFmM1mveMQEeWF8vJyAIAoGeBye/QNQ0RElOPCYT4Vme9ysqEsy3K3M3w/+clPYvPmzZg7d25K92poaAAASEYrduze129N3FkzpuCdV5/H5XMv7PYcWVb6JQsREVGqOpa8sNlsPT5tQ0RECVVVVTCZTJCMFuzdfwixWFzvSERERDmrYxILwIZyvsrJhrLRaMTXvva1M14zm814/PHH8corr6CqqvuZv2crLy/HoEGDYLTY4XJ7cfxka6bjdquyogzP//YX+H8/uBNmk+mMY9df+wkYjclnVxMREfW3jiUvOLAjIkqd0WjEuHHjYDDbEY3FsWffQb0jERER5axwOApBFGEwGGA0GvWOQ72Qsx3NRx99FIMGDcLixYvR1NSEO++8E2PHju3VvUaNGoUDBw4AANweLxrqajKYNDlBEPC1L3wGs2ZMwZPP/Q3HjrfggumTcetXP99vGYiIiFIRj8uIyzIsFjaUiYjSNWrUKGzcuBGCKMHl8eodpyAI7W6Yl66AYe9ByMMGITrnAmiV5XrHIiKiPkrMUDbwqcg8lrMNZYPBgLvvvht33313n+8Vi8WgqYnlJawWS5/v1xujhg/BQz/5vi7vTURElIpQOJz4F0FiQ5mIKE2xWCyxvJ6qwmrhGvR9ZVq+BqXfeQDiafvgqBVl8D70I8QumKpfMCIi6hNN0xAOR2CwlrDmyGM5ueRFpoVCIWiaCgCwcHBHRETUpXA4AgCdaygTEVHqQqEQAA0aNN0msRQKweVB6bfuP6OZDACiy4PSb/0AgpszwImI8lUsHoeiqhA4iSWvFUVD2Wg0dk6h50Z4REREXQtHogDANZSJiHohsQZkouaIy7K+YfKc7fm/QfT5uzwmev2wPffXfk5ERESZwkkshaEoGsqJNVkSf9RwJKJzGiIiotzEwR0RUe91rAMpCCIipz6go17QNFj+9W7SUyz/ehfQtH4KREREmdQxiQWcxJLXiqahjI6GcpgNZSIioq6EIxEIEDhDmYioFzp+bgqCyEksfWDYuQeGg0eSn3PwCAw79/ZTIiIiyqSPJrFwyYt8VhQNZavV2jlbIMzZAkRERF0Kh6MQxMTQwG6365yGiCi/WK1WAImnPFhz9J554ZLUznsrtfOIiCi3dGwEzkks+a0oGsqdswVEPn5GRETUnVAk0vlEDwd3RETpOWOGMp+K7DVLio3iVM8jIqLcEg5HT036FFhz5LHiaijz8TMiIqJuhcMRCKIEgA1lIqJ0dcxQhsiao7ekvQdh2HMgpXMNu/dD2ncwu4GIiCjjwpEIBCFRc/CpyPxVXA1lUeJsASIiom4kBnecoUxE1BuSJMFisUAQJC550UvpzjrmshdERPknMYmFNUe+K4qGcmJgxzWUiYiIuiPLMlpa2yFKBlgsFhiNRr0jERHlHZvNllhDOcyaozfSbRBb3lqanSBERJQVmqbh2IlWCKIBAOBwOHRORL1VFA1lURQTTWWR65kRERF1Ze+Bw4jG4jCYbRg9erTecYiI8lJiM3ARkWgUqqrqHSevSIePwrhtV1rXGD/cCenw0SwlIiKiTGttc6HN5YbBbENTUxOXvMhjRdFQBk5Noz81uCMiIqIzbd+5F5LBBFEyYsKECXrHISLKSx0zlAHwycg0mRcu6d11nKVMRJQ3tu/aC0EQIRktaG5u1jsO9UFRNZQTswViUBRF7zhEREQ5IxyJYt+BwzCYbHA4HBgyZIjekYiI8lKi5khsNMSN+dLT2/WQuY4yEVF+UFUV23ftg8FkgyRJGDdunN6RqA+Kq6F8auf6CGcLEBERddp/4DAUVYVktmH8+PEQxaIZHhARZVTHJBaANUc6xBMtMG3e1qtrTZs+hHiiJcOJiIgo0062tsMfCMJgtmH48OHckC/PFU3FePrgLsTBHRERUScNGgBAgMB1zIiI+uCMJS+4MV/K+rpshfltLntBRJTrOvcWEFhzFIKiaShbrdbTBnd8/IyIiKhDbU0VAEBVYjh27JjOaYiI8lfHvi0Al7xIh2Xh4j5evyQzQYiIKGtqqiohCgJUmTVHISiahvIZj59xYz4iIqJOleVlMJuMUOQYjh49qnccIqK8ZbVaIQgCBEHkJJYUia3tMK7f0qd7GNdthtjmylAiIiLKBqPRgKrKcqhyDC0tLYjFYnpHoj4oqoZy52wBDu6IiIg6CYKA2poqqHIMPp8Pfr9f70hERHmpYz1IQRA5QzlF5kXLIGha0nM8xhFJjwuaBvOiZZmMRUREWVBfWw1FjkHTNBw/flzvONQHRdVQ7pwtwMEdERHRGToGdwA4S5mIqJc6G8qiiEiEM69SYX5rSdLjKiTsc14NFVKf7kNERPqrq62GqsShaSprjjxXVA1lIDG44wYZREREZ6qtqYKmKlBVhWuaERH1Emcop0dwe2FavTHpOV7TMMSkcnhNw5KeZ1q9AYLHl8l4RESUYfW11QAAVY6z5shzRdNQtlqtADi4IyIi6spHgzuuo0xE1FsdNQdErqGcCvO770NQlKTnuEzjzvhndwRZgfnd9zKWjYiIMq+yogxGgwGKHGXNkeeKpqH80QxlCZEIZygTERGdzumww26zdjaUtR7WsyQionNJkgSz2QxBkBDiJJYeWRYuTnpcgwi3eSwAwG0eA62H8tWycEmmohERURaIooia6kqocgxutxvBYFDvSNRLRdNQ5gxlIiKi7gmC0LmOciQSgcvl0jsSEVFestlsXGYvBYI/ANOKtUnP8RmHQBYTE4Nk0Q6fcXDS803L10IIsDlBRJTL6murocpxAOCyF3msaBrKoigmmsoCB3dERERdqauthipHoWkaH0EjIuqlxGbgIqKxGFRV1TtOzjIvXg4hLic9p9185jIXLvP4pOcL8TjMi5f3ORsREWVPXW01VFWGpiqsOfJY0TSUgdNmC3CGMhER0TnqaqqgaRo0VeZsASKiXupoKGuahkg0pnecnGV+a0nS4xqEzuUuOrjMY6FB6NN9iYhIX/W1VQAAhXu35LWiaihbrVYIgohIlLMFiIiIzlbHjfmIiPosMYlFAgBuzNcNIRiCedmqpOf4jYMQF51nvBYXnfAbBia9zrxsFRAK9zkjERFlR2mJE1aLBaocw7Fjx7h3S54qqobyGYM7bsxHRER0BqvFjPLSEihyDMePH4eiKHpHIiLKOx0zlAHwychumJatgtDD7G2XaVzXr5u7fr2DEIn22KwmIiL9JPZuqYIixxAMBuH1evWORL1QfA1lDu6IiIi6VVdbBVWOQZZltLS06B2HiCjvWK1WQDxVc3Dvli5ZUliWwnXWchcfvZ68oZzq/YmISD+1NYmag3u35K/iayhzcEdERNStjl2XObgjIuqd0yexRKKsOc4RjcK0ZEXSU/yGJsSksi6PxaQyBAyNSa83LV4O8P97IqKcVV9bDU1TuTFfHjPoHaA/cYYyERFRcrU1VdCgQVXi3JiPiKgXEjWHAEEQcnsN5bgMw979EALBfn1b49YdEHtY47inWcjt5nFwyEe6PS6GwrAteBnx8aN7lbG3NIcd8rAhgLGoymwiorRx75b8V1S/6axWK3CqoRziRg1ERETnqK2ugigIHNwREfWSzWYDAAiChFA4B2sORYH9t8/D/tSfIOTovjI9NZRd5nEYFFyY9Bznzx7LZKSUaRYzgjd/AcFbvwxIki4ZiIhynd1mRanTgVA8sXeLqqoQxaJaRCHvFdV/rdLSUgiCAFGU4PX59Y5DRESUc4xGA6oqy6HKMbS0tCAWS75pEhERnam0tBQAIEgSPDlYczh/9igcjz2ds83koKEeUaki6TlRqRJBqa6fEqVHiETheOxpOH/2qN5RiIhyWl1tNVQ5hlgshra2Nr3jUJqKqqFcVVUFABAkI1xu7iJJRETUlfraaiinNsk4fvy43nGIiPJKaWkpDAYDxBysOaSDR2D980t6x0jKZep50z0gtc359GT9y8uQDna/LAcRUbGrq6mCqnBjvnxVVA3l0tJSGI1GiJIBLk9uDe7ykRKNwbNtN5QoZ68RERWSutpqqEocmqZycEdElCZRFFFRUQFRMsDj8UFVVb0jdTJs3w0hh/J0pT3FRrHLPD7LSfpGUBQYduzWOwYRUc6qq62GpmnQFJk1Rx4qqoayIAinBndGeDw+KIqid6S8tvWhJ7H+3l9i68NP6R2FiIgyqL5zkwxuzEdE1BtVVVUQJSMUVYXXF9A7zkdyvP4JSTWIGGpSOjdsqEFIqs5yoj6Sc/v/byIiPdXVVEEQBChylA3lPFRUDWWgY3BngKpp8Hhzb02zfBFpc6Ft7WYAQNuaTYi0u3VOREREmVJZUQajwcDBHRFRL1VVVUEQE/ufu9wefcOcJnbhNGiG3N0orsUyNc3zp2UpSd9pBgmxWbmbj4hIbyaTEZXlZVDlGE6ePAlZlvWORGkoyoayIBkBIOfWNMsnras3Jv2aiIjylyiKqKmuhCrH4Xa7EQwG9Y5ERJRXKisrIYgSBEHIqZpDKytB4Lu36R2jS0FDPU5ap6d1zUnrdAQN9VlK1DeB794OrbRE7xhERDmtY+8WVVVx4sQJveNQGoqzoSyIEAQBbq6j3GstKzck/ZqIiPJb/aldlwFw2QsiojQlag4BgmjIqRnKABC68fPwf/+OnJmpHBPsOGGZhg/LboEmpJdJEyR8WHYLTlimIS7Ys5QwPZpBgv+eOxC68XN6RyEiynm1NVWn9m7hxnz5xqB3gP5WWVkJQRByctflfBHz+ODZfuYGE55tuxDz+mEqdeqUioiIMqmuthqquhWaquDo0aMYMWKE3pGIiPJGVVUVACRqDo9P5zTnCn3l84hNmYjSb/8QhkPpFfCyYMU+59XwGwf3OYcGEbJgAwSh1/dQBRMOOK/GAccnYdBCEND3TQed8QMY6n8VBi2c1nXywAHwPvQA5OYxfc5ARFQM6msTvy9VOcaGcp4puoZyx+AuF2cL5IvWNZsAVTvzRVVD6+qNGHD5bF0yERFRZnUM7hQ5xhnKRERpMpvNcDqdiIW8OVtzyM1j4Hr5WTgfeAjW1xamfJ1BC2OE7284YrsER20XA0KOPPQqCJD7OktZUzAgtASNocUQoPV8/mnCV8+H//67oDlyY6Y0EVE+qK6qgEGS2FDOQzny27//mEwmlJSU5OxsgXzQsnJ916+v4rIXRESForTECavF0jm407T0CmsiomJXWVkJUTIiFI4gHInqHadLmsMO34P3w/uLH0C1WVO+ToCGptA7GOt9GibFk72A/cikeDDW+wyaQu+m1UxWbVZ4f/ED+H75AzaTiYjSJEkSaqoroMgxtLe3IxKJ6B2JUlR0DWUgMUtZlAwIRyIIhfnNmo64Pwj3Bzu7PObesgPxADduIiIqBIIgoK6mCqocQzAYhNfLZaKIiNKR2Aw88UBoru/dErlmPlwvP4v4uFFpXVcSP4Bm9+Moj36YpWT9ozz6IZrdj6MkfiCt6+LjR8P1ynOIXDM/O8GIiIpAXQ33bslHRbfkBXBqHeVTgzuX2wObtU7nRLkhdOwk9i14FXF/903heCAITVG6PKYpCjb+6BEYk3wyb3TaMfS6q2FrqO1zXiIiyq662iocOHysc5OMsrIyvSMREeWNjkksQKLmaKir0TlRcsrgJrj++ns4Hvk97M8sSPk6gxbGKN9fcMIyDQcdV0ETjFlMmVmCFsfgwJuojaxJ+9rg165H4Fu3AKb8+fMSEeWi+tpqbNiyDZqq4ujRoxg6dKjekSgFRdlQPnNw50VjAxvKAHDgxTdx8v21fbqHf+/BHs8RTUaMveMrfXofIiLKvvraamia2rkx37hx4/SORESUNxKbgYsQRSl/NgM3GRG4+5uIXTAVJXf/GFK7O+VL6yJrUBI/gN0ln0fYkPuTR6zySYzw/RU2pSWt65SqCvh+cR9is6ZnKRkRUXGprTm1MZ/CdZTzSdEueZEY3Bly/vGz/lQ5eUKfdlhOiSAk3oeIiHJeXQ13XSYi6q3OzcAlY/40lE+JXTQdrtf+gGiaTVOb0oIJ7t+gJrwayNW19zUNteHVmOD+TdrN5Ois6XC9+jybyUREGVRRXgqL2QSFNUdeKcqGcmVlJQBAkAx5N7jLptoLz8d5P7oT5oqyrNzfXFGG8x64C7UXnp+V+xMRUWbZ7TaUOO1Q5BiOHz8OVVX1jkRElDdKS0thMBggSga48nASi1pVAc9Tv4L/7m9CM6b+YKsIGUMDr2Gk7y+Q1FAWE6ZPUkMY6fszhgRegwg55es0owH+u78Jz1O/glpVkcWERETFRxAE1J7au8Xv98Pn8+kdiVJQlA3l0tJSGI1GiJIB7W6P3nFySkXzGEx75H5UTZ2Y0ftWTZ2IaY/cj4oJozN6XyIiyq6OTTJisRja2tr0jkNElDdEUURlZSVEyQCPx5efH8qJIkJfvQ6uBb+DPKgxrUsrYtvQ7H4cztj+LIVLjzO2H83ux1ER257WdfKgRrj++nuEvnodIBZl+UxElHX1tdVQTm3Mx1nK+aEofyMKgnBqcGeE1+uH0s0mc8XKVOJE8z23Y+TN10FMYzZCV0SjASNvvg7N99wOU4kzQwmJiKi/1NdWQ1VinRvzERFR6jpqDkVV4fH69Y7Ta/KEMXC99AzC18xP6zqz6sVY79NoDL4DaDrVXJqCxuAijPU+DbOa3kzx8KeuhOulZyCP56QYIqJsqquphqYqUBUZx44d0zsOpaAoG8rARxvzqZqW14O7bBEEAU1XXYLzf/HfsA3o3aaFtsZ6nP/Le9F01SUQsr02MxERZUVdbTU0TYOmyGwoExGlqaqqCoKYmKCR73u3aA47fL/4Aby/vB+qzZrydQI0NIbexVjvMzApnuwF7IJJ8WCs52k0hhZDQOprOqs2K7wP3g/fz++D5rBnMSEREQFAXS33bsk3RdtQrqyshCAZAYDrKCfhHNKEaQ/dB8fg9B5xcwxuxLRf3QtnmtcREVFuqa2phCAIUOQoB3dERGlKNJQlCIJQMDVH5Oor4HrlOcQnjEnrupL4ATS7H4M9fjhLyc5kjx9Gs/sxlMgH07ouPmEMXK8+h8gnr8hSMiIiOpvTYYfDboOqxHDs2DFoubqxK3Uq2oZyVVUVBEE8Nbjz6B0ntwkiwifTWzczfLINAtcYIyLKe2aTCRXlpVDlGE6ePAlZTn0TIyKiYpeoOQQIoqGgag5lUCNcf/ktgjfdkNZ1Bi2C0d4/wKhkd8Mlo+LDaO8fYNAiaV0XvPkLcP3lt1AGclIMEVF/61hHORKJoL29Xe841IOi7fh1DO5EyQi3hztIJuPavA1KOL3BmBKOwLVpW5YSERFRf0qsoxyHqqo4ceKE3nGIiPJGZWUlAECUjGgvkBnKnUxGBL57G9xPPwylqiLly4xaCJXRLVkMBlRFt8CohVI+X6mqgPuZRxD4zq2AyZjFZERE1J262iqoMvduyRdF21DuGNwV2myBbGhdub5X17Ws2pDhJEREpIe6msRsAQ7uiIjSYzab4XQ6IUqGvF9DuTuxWdPR/tofEL1oRsrXOOTs/i6xp3H/6OwZaH/tD4hdOC2LiYiIqCf1HXu3qNyYLx8UbUPZZDKhpKSkc7YA12fpmirLaF27uVfXtq7ZBJWPRhMR5b16bpJBRNRric3AjQiFIwhHonrHyQqtshyeJx+E/547oBkNPZ4fFx1ZzZPK/TWjAf57/hOe3z8IrbI8q3mIiKhntTWJmkNhzZEXirahDHQM7gyIRKMIpbmkQ7Fwb90JOdD142LV0ydh5hM/QdW0SV0elwMhuLfuymI6IiLqD9VVFZBEkQ1lIqJeSGwGnmiyFvSTkaKI0I2fR/AbX+7xVL9hYFajBAxNPZ4T/MaXEbrxcwD3fSEiygkWsxnlZSVQ5RiOHz8ORVH0jkRJFPVvz6qqqs7BXaE+gtZXLSvPXbZCNBow6us3YMLdt8HWUIvm79+GUbdcD7GL2Qi9XS6DiIhyhyRJqK2phCLH0N7ejkiEH8ISEaWqYxILUBw1h2lV8vG/CgM85pFZzeA2jYKK5DOlTau5PB8RUa6pr62GKsegKApOnjypdxxKoqgbypWVlRClxKYLrkLbJCMDNEVF6+qNZ7xmb6rH1AfvReP8iyEIAgBAEAQ0XjkXUx+8F/am+jPOb1m9EZqi9ltmIiLKjuqqSqhKHADQ2tqqcxoiovyR2AxchChKBV9ziG0uGNclXy7PYxoBVTBnNYcqmuExDU96jnHdZgjt7qzmICKi9NRWV0GV49A0jTVHjivqhnJicCdA5MZ8XYq0uxH3+ju/HnDFHEx98F44BjV2eb5jUCOmPngvBlw+u/O1uNePCAdqRER5r9TpgKYm1sX3+Xw6pyEiyh9VVYk1IQXJWPANZfOiZRB62JvGZR7fL1l6eh9BVWFZtKxfshARUWqcTjs0aICmsubIcT3vmFDAPhrcGQp+cNcblspy1M2ZAf++Qxh63dWomTm5x2sksxmjb/0iKiaNxb4Fr8E5bCAsVdzkgogo3zkd9sSuyxzcERGlpbS0FAaDAaJkQHuBT2Ixv7Uk6XEVEtymUf2SxW0aDRUSRHS/Bqf5rSUIf+7qfslDREQ9K3EmNlVVVYU1R44r6oZySUkJjEYjopIBriJYzyxdgiRi3Le+1qtra2ZOQc3MKRlOREREenGeGtxpigKvl78ziYhSJQgCKisrEQ544PV6oSgKJEnSO1bGCW4vTKuSr0vsNQ2DIlr7JY8iWuEzDkVZfHe355hWrYfg8UErK+mXTERElJzTbgMAaCprjlxX1EtedAzuRMkIr9fPHSSJiIi64XQkBnecLUBElL6OjfkUVYXXF9A7TlaY330fQg/1lMs0LvUbahrKojsw2vMcxrufwGjPcyiL7gB6WFLjdO3m5O8nyArM776XeiYiIsoqu90GSRShqTJrjhxX1A1l4KPBnappcHv5zUpERNQVp8MOQRA4uCMi6oXKykoIYuLh0ELdu8XSw3IXGkS4zWNSupdBDWKk708Y7fsjyuK74ZCPoSy+G6N9f8RI359gUIMp3cdtHgsNQg+5l6Z0LyIiyj5BEOCw2zhDOQ+woVxVBUEyAgDcbhbIREREXVFVDQZJgqaqCAQKc3YdEVG2VFVVQRAlCIIAt6fwag4hEIRp+dqk5/iMgyGL9h7vVRLbh2b3Y6iI7ejyeEVsB5rdj6Ektq/He8miHT7jkKTnmN5fAyGQWoOaiIiyS9M0iJIIVVUQDoe5kkAOK/qGcmVlJQRBhCAI8HCGMhERUZfWbNiCuCzDYLaivr5e7zhERHklUXMIEERDQT4VaV68HEI8nvQcl3l80uOCpqAp+BbGeJ+BSfUnPdek+jHG+wwag29D0HpYZqOnZS/icZiXrEh6DhER9Y/tO/fC7fHBaLajtra2IPccKBRF31B2OByJwZ0gIRQO6x2HiIgo53h9fqxZvwUmqxMGoxmXXHKJ3pGIiPKK0+kEAAhiYdYc5h6XuxDgMo/t/nrFhbGepzAgtBQCUlsjWYCGxtASjPX8H8yKu9vzXKael73oKT8REWVfNBbD0hVrYTBZIRktuOyyy/SOREmwoexI7FoviCJC4YjOaYiIiHLPkvfXQNEAo7UE06dPR3V1td6RiIjyit2eWOpBEEWEQgVWc4TCMC9blfQUv2Eg4qKzy2OVkS2Y4H4cTvlwr97eKR/CBPfjqIh80OXxuFQCv2Fg0nuYl60CQoXX6Cciyier121GMBiGyVaGUaNGYfjw4XpHoiSKvqH80eBOQoiDCCIiojMcPHwMu/YegNlWCqezBBdffLHekYiI8o4kSbBYLAX5VKR52SoIkWjSc7padkLUYhjqfwkj/H+DQUt+fU8MWgQj/X/FUP9LELVYSu9/OiEcgfm95E1xIiLKHpfbi3Ubt8JodcJktmD+/Pl6R6IeFH1D2Wq1nlrygjOUiYiIzrZj116IogGSyYY5c+bAbDbrHYmIKC/Z7XYIoohwgdUclhSWizi7oWuTj2GC+wnURNZnNEtNZD0muJ+ATT521vt3v9xGB/NbSzOahYiIUrd77wGoqgaj1YmpU6eivLxc70jUg6JvKAuCcGpwV3izBYiIiPqqqrIcqioD0BCN9m0GGRFRMeuoOSLRGGRZ1jtOZkSjMC1envSUgKERMaks8YWmoS60AuPdv4NVactKJKvShvHu36EutALQEusxx6RyBAwDkl5nXrwciJ07u5mIiLKvqrIcGjRoqsKaI08UfUMZODW4E0QEg2FoWmqbQBARERWDoYMT604qsQh27dqlcxoiovzVUXMAKJgnI03L10LsYdnA9lOzkw1qEKN8f8Tg4BsQoaT8HprJhPBnPg7NaEz5GhEKBgffwCjfH2FQgwAAl3l88muCIZiWr035PYiIKHMGNjbAaDBAjoWxa9cu9ubyABvK+Gi2gKKqiPJTaSIiok7lZSWorCiDEo/g8OHDCIVCekciIspLHTUHgILZuyXV5S5KYnvR7H4M5bGdad1fHjoIrn88Cd//uweuF56CPHRQWteXx3ai2f0YSmJ7OxvbyaTy5yEioswzGg0Y1NQAJRZBIBDAsWPHer6IdMWGMj5azwxA4e26TERE1EfDBjdBjoWhqip2796tdxwiorzkcDgKa4ZyLA7zO+8nPSUk1aAmvB5jvM/CpPrTun3os59E+4tPQx49AgAgjx6B9hefRujaT6R1H5Pqxxjvs6gJr0dIqkl6rvmd94B4gSxHQkSUZ4YOboIiR6GpCp+MzANsKKPj8bNTswW4jjJR0VGiMXi27YYS5RMKRF0ZOnggNE2FKsewc2d6s8uIiCjhjBnKBVBzmFZvgOhL3iS2Kq0YEF4KAak/uqw6HfD874/h//HdgM165kGbFf6ffB+eR/4HqtOR8j0FaBgQXgqr0pr0PNHrh2l1ZjcKJOrAmoMouWGDmwAAcjzCmiMPsKGMs2YoF8JsASJKy9aHnsT6e3+JrQ8/pXcUopw0oL4GFrMZSjyMvXv3QlFSX/uSiIgSEpNYBAiCUBBPRZpTWB4inUYyAMTOm4D2V59H9MpLkp4XvepStL/yHGLnJV8XuTd5zG8tTeueRKlizUGUnMNhR11NFZRYGCdOnIDX69U7EiXBhjISgzt0PH5WIOuZEVFqIm0utK3dDABoW7MJkXa3zomIco8oihg6uBFyLIJoNIoDBw7oHYmIKO/Y7XYAgCBI+T9DWVFgWbQsY7fTBAGB226E+0+PQx1Ql9I1amM93H96AoFbvwxNEDKWxbxoGcAPTinDWHMQpWbYkIFQ4hFomsZlL3IcG8roWM9MgCCInKFMVGRaV29M+jURJQwbMhCqEoeqyBzcERH1QmdDWcz/msO4bjNElycj91Jqq+F+/lEE/+tmwGBI72KDAcFv3QL3849CqanKSB6p3Q3j+i0ZuRdRB9YcRKkZNrgJmqZBlaOsOXIcG8o4fXBXALMFiCgtLSs3JP2aiBIGDxwAURCgxMPYtWsXNC29x5iJiIrdGTVHni95YVm4OCP3iVx6EdpffR7x6ZP7dJ/49Mlof/V5RC6ZlZFcmfrzEXVgzUGUmprqSjgddsixMPbv349YjGuO5yo2lHHWbIE8H9wRUepiHh8823ef8Zpn2y7EvOntQk5UDCxmM5oa6yHHInC73WhtTb6xERERnclisUAUxVNPRebxJBZV7fM6w5rJBN/934b3iZ9BKy/NSCytogze3/wcvvvvgmYy9ele5reWAqqakVxErDmIUicIAoYOboISiyAej2Pfvn16R6JusKEMwGazASiQ9cyIKGWtazYB6lmzLFWNj6ARdWPY4KbEmmaqykfQiIjSJAjCqc3AJQTzeN8W46YPIbW29/p6efhguF74P4Rv+DSQwbWPAQCCgPAN/wHXP56CPGxwr28jtbTBuHlb5nJRUWPNQZSeYYOboKoyNEXGzp079Y5D3WBDGYDJZILJZCqI9cyIKHUtK9d3/foqPoJG1JVhQwYCAJR4hIM7IqJe6Ggoh0LhvF06yPzWkl5fG/rc1Wh/4WnIo4ZlLlAX5NHD0f7i0wh97upe36Mvf06i07HmIErPwMYGGA0GyPEwdu/enbe/LwsdG8qnfDS4Y0OZqBjE/UG4P+i6IebesgPxQLCfExHlvrLSElRWlEGJR3DkyBEEg/x7QkSUDrvdDkEQoWoaItE8XBdS02DpRaNVLXHC8+hP4P+f7wFWS+ZzdcVqgf9/vgfPr38CtcSZ9uWWhUsANjGoj1hzEKXPaDRgUFMDlFgYgUAAR48e1TsSdSHNbXQLV8fgLhyJQFEUSJKkdyQi6qXQsZPYt+BVxP3dD9DigSA0RenymKYo2PijR2B02Lu93ui0Y+h1V8PWUNvnvET5ZNjgJqzd+CFUVcUf//hHzJ07FyNHjoSQ6ceWiYgKUMckFgAIhcKwWsw6J0qPYftuSEdPpHVNbEozvL/6IdSGuiylSi46fy7aJ4xB6XcegGnDlpSvk44eh2H7bshjR2YxHeUz1hxE2TNsyEDs2X8ImqrghRdewMUXX4zm5maIIufF5go2lE85fXAXDkfgSPJDnQqfEo3Bv/cgnMMGQTL3bVMP6n8HXnwTJ99f26d7+Pce7PEc0WTE2Du+0qf3Ico3Y0ePwIbN2xDxteCoHMWCBQswYMAAzJ8/H01NTXrHIyLKaYmaI1EMh8IRVOqcJ12G3ftTPlcTRQRvuxHBW78MGPQtO9UBdXD/8THYf/Mc7L99HkKKG+4Z9uzPakOZNUd+Y81BlD3DhgyE1WJB2NcCJR7Fyy+/jPfeew+XXXYZRo8erXc8Ape86HT24I6K29aHnsT6e3+JrQ8/pXcU6oXKyRMyv8nL2QQh8T4FSonG4Nm2G0o+Po5LWVVdWY7/+OQVqK4oQdjXirCvBYcO7MMf/vAHuFwuveMREeU0h8MBQeioOfJvYz4hFErpPKWuBu4/PIbgHV/TvZncyWBA8D9vgvv5R6HU1aR0iZDlzRNZc+Q31hx9x5qDumO3WfG5T12JgQ21iATaEfaexMnjR/C3v/0NBw4c0DsegQ3lToklL049fpaHgzvKnEibC21rNwMA2tZsQqTdrXMiSlfthefjvB/dCXNFWVbub64ow3kP3IXaC8/Pyv1zAQscSmZgYz2+8NlP4pqr5qGixI6IrxWxaATr1q3TOxoRUU6z2+1AR0M5D/duic6a3uM5kctmo/3V5xGfOin7gXohPu08tL/yHCLzZvd4bvTCaVnLwZoj/7Hm6DvWHJRMdVUFrr1mPj7/6Y+hobYSEX8b5HgUq1at0jsagQ3lTg6H46MZynk4uKPMaV29MenXlB8qmsdg2iP3o2rqxIzet2rqREx75H5UTCjcx2xY4FAqBEHAiGGDcO018yGKAuLRIDZt2gRZlvWORkSUsxKTWITEZuB5OIlFbWpA6IZPd3lMM5vg+9F34H3sp9DKSvo5WXq08lJ4H/8pfD/8DrRulpoI3fBpqE0NWcvAmqMwsOboPdYclKqmAXX43KeuhMNugxwJYOfOnfB6vXrHKnpsKJ/SsSmfIAhc8qLItazckPRryh+mEiea77kdI2++DqKxb49bikYDRt58HZrvuR2mXuwUnk9Y4FA67DYrRo0YAjkSRDAYxIcffqh3JCKinGW3J/ZpEQQxb2sO/73fQuD2r0AtTYyHNEFAZN5stL/wNMLXfSr7SwBkiiAgfP2n0P7C04jMmw3tVG611InA7V+B/95vZfXtWXMUDtYcvcOag9IhiiKax42CHAtBVRRs2MCfmXrLkQWt9PfR4C4/ZwtQZsQ8Pni27z7jNc+2XYh5/TCVFvYv9EIlCAKarroEZWNGYOtDTyKU5s7kAGBrrMf4b98C5+DGLCTMPV0VOE1XXaJTGsoHE8ePxrade6HEo1i3bh0mTszsLB0iokLRWXOIEkJZXp83ayQJwf+8CcFbvgjR44VmNkMrL9U7Va8pI4fC+8TPILi9EKJRqGWlgMWc1fdkzVF4WHOkjzUHpat53CisWrsJciyIDRs2YPbs2ZAkSe9YRYszlE/5aHAncsmLIta6ZhOgame+qGr8tLQAOIc0YdpD98GR5gDNMbgR0351b9EM7JIVOETdGVBfi+rKCsjRAA4fPowTJ9IvooiIikEhzFDuZDFDravJ62by6bTyUqh1NVlvJgOsOQoZa47UsOag3nA67Bg2dCDikSB8Ph927typd6SixobyKWcO7vJ0tgD1WcvK9V2/voqPUxQEQUT4ZFtal4RPtnWur14MWOBQbwiCgInjR0OOhaEqMjfnIyLqhsFggNlshiBKCIZCeschnbDmKHCsOXrEmoN6a9L40VCVOFQ5xppDZ8XzE6sHVqv1tA0y8ny2APVK3B+E+4OuP+Fyb9mBeCDYz4ko01ybt0FJ8++3Eo7AtWlblhLlHhY41FtjRw+DyWiAHA1iy5YtiET4u5SIqCt2ux2CKCLMmqMoseYofKw5esaag3prUNMAlJeWIB4JYN++fWhrS+/DG8ocrqF8iiiKsNlsiAY9+bueGXUrdOwk9i14FXF/9wO0eCAITVG6PKYpCjb+6BEYHfZurzc67Rh63dWwNdT2OS9lR2s3A5eetKzakPGdm3NRKgVOsr8DVNzMJhPGjBqOLdt2IxotwW9+8xvMnTsXEydOhFhEM26IiHqS2AxcQiQag6IoXP+xgLDmIIA1R09Yc1BfdDwZuWT5GqhqGZ5++mnMmjUL06ZNg9Fo1DteUWFD+TR2ux2eNhGhcAiapkHIlx2KqUcHXnwTJ99f26d7+Pce7PEc0WTE2Du+0qf3oexQZRmtazf36trWNZugyjJEQ/7+yGSBQ/1hysRx2L5zD8KeE1BiYbzyyitYuXIlLr30UowcOZK/V4mI8NEMZQAIhSNwsnFSMFhzEGsO1hyUfePHjsT6zR8i4DkBJVaCt956C6tXr+Zkln6Wvz+psiAxuJMQl2XE4zJMJn66USgqJ0/A8cUrAU3r+eTeEgRUTp6QvftTn7i37oQc6HqtwurpkzD8S5/B7udfQNuaTecclwMhuLfuQuWksVlOmT0scKg/VFaU4fprP4n3VqzF3gOHIRlMOC5HsWDBAgwcOBDz5s3DwIED9Y5JRKSrjpoDAEKhMBvKBYQ1B7HmYM1B2We1mHH9Zz6O5as34MMdexAPBzons6xYsQLz5s3jZJZ+wLb9aZxOZ+fgzusP6JyGMqn2wvNx3o/uhLmiLCv3N1eU4bwH7kLthedn5f7Udy0rz12PSzQaMOrrN2DC3bfB1lCL5u/fhlG3XA/ReO5nbb19dC1XVE6eAGT7FyoLHAJQXVmOT3/icnz+0x9DbVUpwr5WhH2t2L9vD5555hksWLAAra2tesckItLN6TWHL8ksPso/rDmINQdrDuofJU4Hrpw3G1/+/DUYMrAekUA7wt6TOHHsMBYsWIBnn30Whw8f1jtmQRM0LZsfn+aXZcuW4Z1FbyPoPoZPzJ+L0SOG6h2JMizm82P748+jrZePIXWlaupEjPnml2EqcWbsnpRZmqLiva99B3Gvv/M1e1M9xn/7FjgGNZ5zfuDgEWx96EkEDx/vfM1Y6sRFT/8KgpS/n8O5tmzHtl8/g6jLk/F7myvKMPZbX0PFhNEZvzflL03TsGffISxbuRYutxcGkw0mWwnMFhu++tWvor6+Xu+IRET9buvWrfjHP/6BkPsYLpx+HmZOnaR3JMow1hzFiTVHAmsO0sPhoyewbMUaHDvRCslogclWCoPRjM997nMYPZrfL9mQvz+lsqCmpgaCKEEQJbS1ufWOQ1lgKnGi+Z7bMfLm67r8RDgdotGAkTdfh+Z7bufALsdF2t1nDOwGXDEHUx+8t8uBHQA4BjVi6oP3YsDlsztfi3v9iLTn98+FiuYxmPbI/Rnf7KNq6kRMe+R+DuzoHIIgYMSwQfjK9Z/GFZfMgsUIhDwnEAkHsWjRIr3jERHpoqamBoIgQJSMaMvzsQV1jTVHcWLNkcCag/TQNKAO13/mE7jmqnkodZgR9p5EPBrCW2+9BaWbNbupb7iG8mlqaxOLuouSEW2u/P4hTt0TBAFNV12CsjEjsPWhJxE6eiLte9gaE580Owd3PTig3GKpLEfdnBnw7zuEodddjZqZk3u8RjKbMfrWL6Ji0ljsW/AanMMGwlJV3g9ps6ujwDnyr8XY89w/oMblXt9LNBow/MZr0XjlXK5PRUmJoojmcaMwZuQwPPeXlxAI+7B3714cOHAAgwcP1jseEVG/qqyshCRJbCgXONYcxYc1x0dYc5AeOiazDBvShL+/8i8cPdGO9nYLNm/ejMmTe/77SOnhkhen0TQNP/3pTxHwtMJhFnDTl67VOxJlmRKNYt33f47AgSMpX+MY3Ijzf/59SGZzFpMRZZ9//2EWONTvPtyxG2++vQzW0loMHTYCN954I4sDIio6v/3tb3Hk4F7EQx5869YvQ5IkvSNRFrHmoGLGmoP0cOTYCSx48Q1YHJWorKnHHXfcAYOBc2oziUtenEYQBNTU1ECUDPD4/IjF4npHomwTRIRPtqV1SfhkGwSRf3Uo/zmHNGHaQ/fBkeYAzTG4EdN+dS8HdtQrY0YOQ0V5KWIhLw4ePIh9+/bpHYmIqN8lag4jVE2Dy+3VOw5lG2sOKmKsOUgPjQ11GDqoEbGwFx6PBxs3btQ7UsHhb6iz1NTUQDSYoGkaXG6P3nEoy1ybt0EJR9K6RglH4Nq0LUuJ6LRryAABAABJREFUiPoZCxzqZ6Io4oJpk6HEI1DiUbz77rvgw1JEVGw6JrEA4LIXRYA1BxU91hykgwunT4aqyJBjISxbtgzxOCeNZhL/dp7l9MFdKwd3Ba915fpeXdeyakOGkxDpgwUO6WH0iCGorqxALOzF0aNHsWjRIg7wiKionLEZOPduKXisOajYseYgPdTVVmPE0EGIh3zw+Xx47bXXEA6H9Y5VMNhQPkttbS0EQYQoGjhboMCpsozWtZt7dW3rmk1Q5d5vLECUK1jgkB4EQcCF0ydDiUcRC3nx/vvv4ze/+Q127dqldzQion5xxmbgrDkKGmsOItYcpJ8Lp0+GpimIBl3YsnkTHnvsMWzcuJFPSGYAG8pnqampAQCIBg7uCp17607IgVCXx6qnT8LMJ36CqmmTujwuB0Jwb2Xjg/IbCxzS0/ChAzFrxhQo0QDCnhNoPXkMf/nLX/DXv/4VHo9H73hERFlVWloKk8nEhnIRYM1BxY41B+mpuqoC8y+dBUmLI+Q5Aa+7Fa+88gqeffZZnDx5Uu94eY0N5bPY7XbYbLbE4I6PnxW0lpXnftopGg0Y9fUbMOHu22BrqEXz92/DqFuuh2g8dzfQ3n7KSpQrWOCQngRBwMypk/Cl665BY0M1Iv42RPxt2PbhVjzxxBN4//33oSiK3jGJiLLio83AjfD4/IjGYnpHoixhzUHFjjUH6W38mJH4yg3/gVHDByMacCHia8WBfXvx+9//HgsXLkQ0GtU7Yl5iQ/kspw/uAsEQQmmu80P5QVNUtK4+c5dPe1M9pj54LxrnXwxBEAAkvh8ar5yLqQ/eC3tT/Rnnt6zeCE1R+y0zUaaxwKFcUFVRjs9ecyU+fvnFMBuAsPcEgr52vP322/jd736Ho0eP6h2RiCgrEpuBGwEA7S6PvmEoK1hzELHmoNzgdNjxiflzce3VV6DEYUbIewJhvwsrVizH448/zqX3eoEN5S50NJQB7rpcqCLtbsS9/s6vB1wxB1MfvBeOQY1dnu8Y1IipD96LAZfP7nwt7vUjwu8PylMscCiXCIKAMaOG4atf+A+cN2EM4mEfwt6TOHHsCJ599lls3bpV74hERBl3+mbgrDkKE2sOKnasOSjXDB7YiBuv+xRmzZgCLR5C2HMC7vYWLFiwACtWrODaymk49+MfSmzM1zG4c7kxsLG+hyso31gqy1E3Zwb8+w5h6HVXo2bm5B6vkcxmjL71i6iYNBb7FrwG57CBsFSV90NaoszrqsAZ8ZVrIZnNXZ7fUeDsfubvOPrWMgAfFTjWmsp+yUyFz2I249I5MzF+zAi8vWQFjp9sgapW4IUXXoDL5cJFF13UWXgQEeU7bgZe+FhzULFjzUG5yGAwYObUSRgzcijeWboS+w4egSqXYuHChWhra8PHPvYxSJKkd8ycJ2hsv5/j8OHDePrppxHynMCEMcNw+dwL9Y5ERJRRmqJi22PPplXgdGhZub6zwBl7x1cgiHzYhTJPURS8vXgFPti+CyZrCYzWEkyaNAmf+MQnYDDw83Aiyn/BYBAPPvggIv42DKhNLP9DRFRIWHNQrtM0DSvWbMSKNRthMNtgtldg2LBhuPbaa2G1WvWOl9PYUO5CJBLBz3/+c0T87aitdOL6z3xc70hERERFR9M0rFm/BctWroPBZIPZUY4ZM2biyivZdCGiwvDggw/C3XoMBsRw+0036B2HiIioKG3fuRf/fuc9aIIBFmclRo4ajRtu4O/lZPgRTxcsFgtKS0shGoxod7m5hgoREZEOBEHA9PMnYnLzWMixEFRFhtfr1TsWEVHGdOzdEgpHEAyF9Y5DRERUlMaMGoY5s6ZBkaNQ4lHWHClgQ7kbHYO7SDQGfyCodxwiIqKiFI5EsX3XPhjMNkgGE2bOnKl3JCKijKmpqYFo4GbgREREelJVFZs/2AHJYIJksrLmSAEbyt2ora2FKHFwR0REpKcVqzcgEo3CZCvD+PHjMWjQIL0jERFlTG1tLQTRAAEC2l2sOYiIiPSwaesOtLncMNnL0djYiEmTJukdKeexodyNmpoaCKIEQRDYUCYiItJBa7sbmz7YDqO1BGazBZdddpnekYiIMqqmpgaCIECQDKw5iIiIdBAKR7B81QYYzXZIBhOuvPJKCIKgd6ycx4ZyNzoGd6JkRBtnCxAREfUrTdOw+L1VgCDBaHFi1qxZKC0t1TsWEVFGVVdXA0Ci5mBDmYiIqN+9v2o9orEYTLZSTJw4EY2NjXpHygtsKHejqqoKoihClIxobXPpHYeIiKio7N53EAcPH4PJXoby8nJccMEFekciIso4s9mMsrIyiIbEJBZuBk5ERNR/WlrbseXDnTBZS2G2WDFv3jy9I+UNNpS7YTAYUFFRAVEywuX2QlVVvSMREREVBVmWsfT9NZCMFkhGCy6//HIYjUa9YxERZUXHZuDRWBw+f0DvOEREREVB0zS8s2wVBFGCweLA7Nmz4XQ69Y6VN9hQTqK2thaiwQhZUeD2+PSOQ0REVBTWbtwKj88Ps70MQ4cOxZgxY/SORESUNdwMnIiIqP/t3LMfR46dgMlWjsrKSsyYMUPvSHmFDeUkOmYLAOA6ykRERP3AHwhi9brNMFqcMBjN3BSDiAoeNwMnIiLqX/G4jKXL18BgtMBgsuCKK66AwWDQO1ZeYUM5iY8GdyIHd0RERP1g6fI1kBUVJmsJzj//fNTU1OgdiYgoq7gZOBERUf9avX4zfP4gTPYyDB8+HCNHjtQ7Ut5hQzmJjiJWNBjR2s6N+YiIiLLpyLET2L5rH0y2UtgdDsydO1fvSEREWXfmZuBsKBMREWWT1+fH2g0fwGRNPBE5f/58PhHZC2woJ1FeXg6DwZCYLcAZykRERFm1dsMHECUjDGY7LrnkElitVr0jERFlnSRJqKyshGgwwuX2QFEUvSMREREVrI1btkFRNRitJZg+fTqqqqr0jpSX2FBOQhRFVFdXQ5SM8Hj9iMdlvSMREREVJEVRcOjIMRjMNjgcDkyePFnvSERE/aZj7xZFVeH2cjNwIiKibNl38AgMJitEUcJFF12kd5y8xYZyDzp2XdY0DS63R+84REREBenIsZOIxWVIRguGDx8OUeQQhYiKR0fNAYBPRhIREWWJzx9Au8sDyWjBgAEDYLPZ9I6Ut1it9aBjtgAAbpJBRESUJQcOHYEgJNYQHTZsmN5xiIj6Vedm4KLEhjIREVGWHDh0FAAgGc0YPny4zmnyGxvKPUgM7kSIogSX26t3HCIiooJ04NBRSCYLRFFkQ5mIik7nZuCSgTUHERFRluw/eASSwQRBlNhQ7iM2lHvQuSGQICIWi+sbhoiIqAAFAkG0tLkgGS2or6+H3W7XOxIRUb/qqDkEQUQ8zpqDiIgo01RVxaEjxyAZLbBarWhoaNA7Ul5jQ7kHkiQBAARB4I7LREREWXDgcOLRM8Op9ZOJiIpNR80BCJBZcxAREWXc8ZOtiERjkIwWDBs2jHu29BH/3+uBwWDo/HcO7oiIiDKvpdUFUTRAECUMHjxY7zhERP2us+YQAEVmzUFERJRpJ1vbAQCiwcSaIwPYUO7BR4M7AYqi6huGiIioAPkCAQhS4vdtRUWFzmmIiPqfKIoQRRECBCgqaw4iIqJM8/sDiUksgsCaIwPYUO5BR0NZAJe8ICIiyga/PwhRlCAIApxOp95xiIh0YTAYAEGAzBnKREREGefzByGIiSWmSktLdU6T/9hQ7oF6aoaABgCCrlGIiIgKkj+QGNw5nc7T1hElIiouHXWHILDoICIiyjR/IAjhVK1RUlKic5r8x4ZyDyKRSOJfNBUWk1nfMERERAVGlmUEQ2EIooEzBYioaMmyDFmWoWkqzGaT3nGIiIgKjj+QWPLCbrfDaDTqHSfvsaHcg2g0CgDQNBUmE7/hiIiIMskfCAEAREliQ5mIilZHzQFVhZk1BxERUUapqgp/IARBZM2RKWwo9+CjhrLGhjIREVGG+fwBAODgjoiKGmsOIiKi7AkEQ9A0jTVHBrGh3IPO2QKaCrOJj58RERFlkj/Q0VDmkhdEVLzOfCqSNQcREVEmdUxiEVlzZAwbyj2IRqPQNI2zBYiyRInG4Nm2G0o0pncUItKBzx+EIIgQBIGDOyIqWh9NYtG45AVRFrDmICpufn8QAJ+KzCSD3gFyXSQSATQNALhBBlEWbH3oSbSt3YyqaZMw8Z7b9Y5DRP3M7w9AlBLDEQ7uiKhYnT5DmTUHUeax5iAqbj5/IDGJRRRRUlKid5yCwBnKPUjMUFYBgEteEGVYpM2FtrWbAQBtazYh0u7WORER9bdINAYIAgBwt2UiKlqRSCTxL5rGJS+IMow1BxFFYzEIrDkyig3lHkSj0c4ZylzygiizWldvTPo1ERW+qspyqHIcmqbh6NGjeschItJF5zJ74JIXRJnGmoOIqisroKoKNFXBsWPH9I5TENhQ7sHpM5Q5W4Aos1pWbkj6NREVvsaGWmiaCk2RcfjwYb3jEBHpIjGJ5VTNYWTNQZRJrDmIqKG+BgCgyDEcOnRI5zSFgQ3lHpy55AVnCxBlSszjg2f77jNe82zbhZjXr1MiItJDXW01BEGAIkc5uCOionXmJBbWHESZwpqDiACgxOmAw26DEo/iyJH/z96fB8d5X3fC7/f3bL03Guhu7CRAAiAIcCfBTbJWW5QsL5IdebecOLmTqUluqube94+ZXE9NZapmUu99nUzqvZPUjD3ZJ5M4TrzGWi1ZuyjuIAmCILHvW69A78vz3D8aAEmJFDcAT3fj+6lSiQLQjQNSBH7n9PmdMwFd180OqeSxoHwb1y/l4+GOaPXMn+wGdOPGN+oGr6ARbTAWTYPfW4l8Lo25ublrc0SJiDaQ5ZEXAJtYiFYTcw4iAgAhBBrqaqDn0shkMpidnTU7pJLHgvJtcCkf0dqYO37m5m//gFfQiDaahvoa6NkMDMPAxMSE2eEQEa2760deWCwWk6MhKh/MOYhoWUNd9cruFo7au38sKN/GckHZoqkrGyGJ6P5kF+MIX7xy0/eFL/QhG4uvc0REZKaG2hroeg6Gnufhjog2pFQqtdKhzFuRRKuDOQcRXa+hrgYGDOico7wqFLMDKHaZTAYwDMiybHYoRCUhMTWLoX/4GbKLtz6gZWNxGPn8Td9n5PM49wd/AtXpuOXjVZcDW7/2DOz1NfcdLxGZr2Hp7zLnKBPRRpXNZlc6lBWFeQfR7TDnIKK75fdVQVUU5HNpNrGsAhaUb8PtdiM4pyARX0Amk2XHANFtjPzoRcy+e+q+nmNxcPS2HyNpKjp/79v39XmIqDi4XU64nA6kshlMTk5C13VIEi9REdHG4XK5IKRCahaNLqLa7zU5IqLixpyDiO6WLMuoq/Vjai6CaDSKaDSKiooKs8MqWczWbqO6uhqSUigiB8MRc4MhKgHe/buAtR4PI0Th8xBR2aiqrICh55DJZJBIJMwOh4hoXVVXV0OSl3KOUMTcYIhKAHMOIroXlZ4K6PksACAajZocTWljh/Jt+P1+SHLhtykYCqOuxm9yRETFrebBLqguB3r/779Eeg0SIkuVB53/9rdQtWv7qj83EZknGIpAkhVYrVY4HLe+fkpEVI78fj+EJEFIMgKhsNnhEBU95hxEdC9C4cjKC7heL28D3Q92KN9GdXU1hJAgSQoCQR7uiO5E1e4OHPqT/wjfwT2r+ry+g3tw6E/+Iw92RGUmHk8gFk9AkjXU1dVxCS4RbTjV1dUAAElW2aFMdIeYcxDR3TAMA3PzQUiKBrfbzSaW+8SC8m34/YWOZElWeLgjugua24Xdv/+72PavvgZJvb/LEJKqYNu/+hp2//7vQnO7VilCIioWs/NBAICkFArKREQbjcfjgaqqkGSFHcpEd4E5BxHdqUh0EelMdqWJhe4PR17chsvlgsViQVpWebgjuktCCGx6+nF4OtrQ88ffR2Jy5q6fw95Yh53/x2/D1dy4BhESUTGYnQ9CCAEhyTzcEdGGJISAz+dDYjGMSDSCXC4HRWGqRnQnmHMQ0Z2YnQ8AAGRFZc6xCtihfBtCiJXFfAuLcaQzGbNDIio5ri2bcOiP/wOcd3lAczY34tAffYcHO6IyNzsfgKRoEELwcEdEG9byYj7DMBAKc1EQ0d1izkFEH2duPghJktnEskpYUL4DhcV8haHdPNwR3SMhITkbuKuHJGcDEBK/TRGVu7m5ICRZg6ZpqKqqMjscIiJTXJ9zcHcL0T1izkFEtzA7V5ifDIAF5VXA75p3oHC4K1w54+GO6N6Ezvcin0zd1WPyyRRC3b1rFBERFYNkKo3oYgyyoqK2thYSEzoi2qD8fj+EJEFIMoLhiNnhEJUk5hxEdDOGYWB2PghJVuFwOOBycU76/WLWdgeqq6shhARJUhDkHGWiezJ//Mw9PW7ug7OrHAkRFZO5pVlmXMhHRBtddXU1AECSVS4DJ7pHzDmI6GYWY3EkU6mVnEMIYXZIJY8F5Tvg9/sBAJKs8HBHdA/0XA7zp87f02PnT3ZDz+VWOSIiKhazc8sL+RQWlIloQ/N4PFBVFZKs8lYk0T1gzkFEtzI7FwTAJpbVxILyHXC5XLBarZAUFQF2KBPdtXDPFeRiiZu+z394L47+2X+G79Dem74/F0sg3HN1DaMjIjMtXz3jQj4i2uiEECuj9iILi8hmWdwiuhvMOYjoVmbnAxBCghASc45VwoLyHVg+3AlZxcJiHOlMxuyQiErK3PGPXiGTVAXt//ob2PXvfgf2+hrs/ve/g/bf/jokVfnIx97r1TUiKn6z8wFIigZFUeDz+cwOh4jIVMuL+QzDQDjCZeBEd4M5BxHdytx8YSEfm1hWDwvKd+j6rcsce0F054y8jvkT5254m2NTHQ5+9ztofOrRldlFQgg0fvoxHPzud+DYdOM3+LkT52Dk9XWLmYjWRzqTQTiyAEnWUFNTA1mWzQ6JiMhU1+cc88GQydEQlQ7mHET0cWbng5AVDVarFR6Px+xwygILyneovr6+cCUXAqPjU2aHQ1QyUsEwstHFlf9uePIRHPzud+BsarzpxzubGnHwu99Bw7GHV96WjS4ixVmCRGVnbr5QLJEUlZ0CREQo5BxCkiDJCsYmps0Oh6hkMOcgoluJxeKIxROQZJUL+VbRR+950E1t2bIFQggoFjtOn+vB7h3tcNhtZodFVPSs3krUPnIEi0Nj2Pq1Z1B9dP9tHyNbLNj+b55H1d5ODP3Dz+Fq2Qyrr3IdoiWi9TQ3H4CAWDncERFtdI2NjVBVFYrFgd6+AXTt3Qm/r8rssIiKHnMOIrqVucByEwsX8q0mFpTvkNfrxe7du3G++xwSkRm88/5pPPWph8wOi6joCVnCjn/7W/f02OqjB1B99MAqR0RExWJ2PghJ4UI+IqJlmqbhwQcfxBtvvIFcOo5fvvk+vvZrn2E3FdFtMOcgoluZnQ8WFvJJMnOOVcSRF3fh2LFjsNkd0OwVuHj5KianZ80OiYiIqGTNzgUhySokSUJ1dbXZ4RARFYVPfOIT8Hq9sDgqMTk9i8tXBs0OiYiIqGQVloCziWW1saB8F5xOJx5//HEoFgdkRcPrbx2HrnNoPxER0d3KZnMIhiOQFA3V1dVQFF6aIiICAEVR8PTTT0NWrVA0G9587yRS6bTZYREREZWkubkgJFmDpmnwer1mh1M2WFC+S11dXairq4Nm92B2PojzPVfMDomIiKjkzAdDMAyDs8yIiG6itbUVHR0d0OweJJIpvH/inNkhERERlZxEMoXoYgyyoqG2tpYjpFYRC8p3SZKkpY4BC1SLA+9+cBrxRNLssIiIiEqGYRi4eKnwgiwX8hER3dyTTz4Ji9UG1ebGuQu9mF9aKkRERER3ZiXnUJhzrDYWlO/B5s2bsXfvXmj2CqQzObzz/mmzQyIiIioJuq7j5dffwYXeq7A4KiFJErZu3Wp2WERERcfj8eChhx6CanUBkoxfvvk+DMMwOywiIqKiZxgG3j95Dm8fPw3V6oKQFLS1tZkdVllhQfkefepTn+KCPiIioruQy+XwLy+/gZ7L/bA6q6DZXHjmmWfg8/nMDo2IqCg98MADXNBHRER0FwzDwJvvnsR7J85Cs1fA4vDgscceQ0tLi9mhlRUWlO+R0+nEY489xgV9REREdyCTyeInv3gN/YOjsLp8sNjd+PKXv4y9e/eaHRoRUdHigj4iIqI7p+s6Xv3Vuzjd3QOLwwPN5sZTTz2FRx99lPOTVxkLyvfh4MGDXNBHRER0G6l0Gv/881cwOjEFq9sHm8ONr3/96+jo6DA7NCKiotfa2ort27dzQR8REdHHyOfzeOHVtwqj9ZxV0GxufP7zn8eRI0fMDq0ssaB8H7igj4iI6OPFE0n88CcvYWpmHlaXH3ZnBZ5//nleOSMiugtPPfUUF/QRERHdQjabw09feA19/UOwOr2w2Fx47rnnsH//frNDK1ssKN8nLugjIiK6ucVYHD/48QuYC4RhdfvhqqjEb/zGb2Dz5s1mh0ZEVFI+vKDvtbeOc0EfERERgHQmgx/9yysYHp2E1eWH1eHG1772NezYscPs0MoaC8qrgAv6iIiIbhSOLOAf/vkXiERjsFVUo7LKh29/+9uoq6szOzQiopJ0/YK+iakZLugjIqINL5FM4Yc/eQkTU7Owuv1wuCrwzW9+E21tbWaHVvZYUF4F1y/ok2SVC/qIiGjDMgwDI2MT+MGPX8BiPAWruxo+fw1+8zd/E36/3+zwiIhKFhf0ERERXTMzO49//PGLmJ0PwequhtPtwa//+q+jubnZ7NA2BMXsAMrFwYMHce7cOUzmMpidn8P5nivYt5vLhoiIaGMwDANXB0dw8swFzMwFICsarBXVqK2tw/PPPw+Xy2V2iEREJW95QV/vpR4kojN4/8Q5PP4wlw0REdHGYBgGxiamceLMeYyOT0GSFdgqqlHhqcLzzz+P6upqs0PcMITB4VurZmxsDH/5l3+JdCwEGVn85jefg8NuMzssIiKiNZPP59F7ZRAnz15AKBwtLKq1uiGrFmzevBlf+9rXYLfbzQ6TiKhsRCIR/Nmf/RniC0Hkkgv41lefhd9XZXZYREREa8YwDAwMjeHEmfOYnp2HJKvQbG7Img1erxff/OY3UVXFn4XriQXlVfbTn/4U586eQSIygwN7OvHYQ4fNDomIiGjVZTJZXOy9gtPdPVhYjEPRbFCtLsiqBXV1dfjEJz6Bjo4OSBKnaxERrba3334br7/+OpLRGWzdXI8vfPYJs0MiIiJadfl8Hn39Qzhx5gKCoQhkxQLV5oKsWuH1evHggw9iz549UBQOYFhv/B1fZY8//ji6u7shq1bMBYJmh0NERLTqFhZj+Pt//gUWY3Eomh32ilpIiorm5mZ84hOfQEtLC4QQZodJRFS2HnjgAbz//vvIJu3MOYiIqCxlszn873/6F8wHQ1BUK2zuasiqBTU1NXjooYfQ2dnJ5hUTsaC8ylwuFyRJghACmUzW7HCIiIhWXf/gCGKxBOyeOkiygm3btuGhhx7Cpk2bzA6NiGhDUBQFTqcTC+E55hxERFSWxienMR8MrRSSN23ahIceeghtbW1sXikCLCivMiEELBYLkkJCOpMxOxwiIqJVF4osQMgKJFnBV7/6VWzfvt3skIiINhyLxQIhJKQzWRiGweSaiIjKSigchYCApGg4duwYjh49yp91RYS94Wtg5XCXZkGZiIjKTygcgSQXXpPevHmzydEQEW1MyzmHYRjIZNmlTERE5SUUjkDICoQQ2Lx5M4vJRYYF5TVgt9shJBnJVBqLsbjZ4RAREa2aZCqNyalZyIoFbrcbNpvN7JCIiDak5ZwDAObmQyZHQ0REtHoMw8DgyDhk1QJZluH3+80OiT6EBeU1sG3bNihaIcG+cOmKydEQERGtnv7BEeR1HbLFjh07drBTgIjIJNu2bYOkaJAkBRcu9ZkdDhER0aoZn5xBLJ6AotnR2toKi8Vidkj0ISwor4F9+/ZBkmUomh0Xe69C13WzQyIiIloVff1DkFULJEnGzp07zQ6HiGjD6uzshN1uh2J14OrACJKptNkhERERrYq+/iFIkgxJ0ZhzFCkWlNdARUUF2traoFidWIzFMTw6YXZIRERE9y0eT2BsYhqKZkdVVRXq6+vNDomIaMNSFAV79uyBanEgl8+jt6/f7JCIiIjuWz6fx9WBEciaHZqmob293eyQ6CZYUF4jBw4cgCSrkGSVYy+IiKgsXBkYhmEYUDQbdu7cyXEXREQmO3DgAIQkQ9FsOH/pCgzDMDskIiKi+zI6PoVkKgXFYkd7ezs0TTM7JLoJFpTXSFtbGyoqKqBanRgcGedyPiIiKnl9V4egqFYIjrsgIioKfr8fTU1NUK1OBEMRTE7Pmh0SERHRfenrH4IkK5BklTlHEWNBeY1IkoT9+/dD0ewAuJyPiIhKW3RhEZMzc1AsdtTU1KC6utrskIiICEs3IxULJEnB+R4u5yMiotKVzeYwMDQKRbPDZrOhtbXV7JDoFlhQXkNczkdEROWi7+oQBATkpXEXRERUHLicj4iIysXQ6DjSmSwUix3bt2+Hoihmh0S3wILyGqqoqEBraysUix2LsTiCoYjZIREREd2Tvv4hyJoVQkgsKBMRFZHl5XyKZkcun8f45LTZIREREd2TvqtDK/vIdu3aZXY49DFYUF5jPp8PQsgAgEw2a3I0REREdy8QCmMuEIJisaOxsRGVlZVmh0RERNfxer0QUiHnyDLnICKiEpTOZDA0Mg7FYofD4cCWLVvMDok+BgvKa0xRFEAIAEAulzc5GiIiorvXd3UIQgjIKsddEBEVo+uvBGezORMjISIiujcDQ6PI5fNQNDs6OzshSSxZFjP+6ayx6wvK+TwLykSlIp/OINLbj3w6Y3YoRKYyDGNp3IUNkiRhx44dZodEREQfoqoqhBAQEMw5iEoIcw6ia/quDkFWNEiywnEXJYDTrdeYoigQS7/O8XBHVDJ6/vj7CJw6D9+hvdjz+79rdjhEppmbDyIcWYDV5UNzczNcLpfZIRER0YesdCgLwVuRRCWEOQdRQSKZwsjYJFR7BSoqKrBp0yazQ6LbYIfyGrth5AWvnxGVhFQghMCp8wCAwMlupIJhkyMiMs/lq4MQQoKsWjnugoioSN1QUGYTC1FJYM5BdM3VgWHohgFFs2PHjh0QQtz+QWQqFpTXWOFwV/iLEI4umBsMEd2R+RPnPva/iTaKwriLYSiaHbIso6Ojw+yQiIjoJpYLygICEeYcRCWBOQfRNX39Q5BVK4Qkc9xFiWBBeY3V19dDCAHV6sSJ0+cxOT1rdkhEdBtzx89+7H8TbRST07NYjMWhWOxobW2F3W43OyQiIrqJ6upqyLIM1epE75VBXL4yaHZIRHQbzDmIChZjcUxMzULRbPB6vaitrTU7JLoDLCivsbq6Ohw9ehSa3QNICn7+0q8QjyfMDouIbiETWUDkcv8Nb4v0XkUmumhSRETmuXx1CEKSISkax10QERUxu92OT3/601CsTiiaHa/86l3MB0Jmh0VEt8Ccg+iaK/3DMJbGXezcuZPjLkoEC8rr4IknnsCWLVtgcfkQT6bx85ff4PZloiI1f7Ib0I0b36gbvIJGG9LA0CgUzQ5VVdHe3m52OERE9DEOHDiAffv2weKsRN4Q+NmLryOVTpsdFhHdBHMOomv6h0ahaDYISWITSwlhQXkdSJKEL33pS/B4KmF1ejExNYO33jtldlhEdBNzx8/c/O0f8AoabTyZTAZCkuB2u2GxWMwOh4iIPoYQAp/5zGdQX98Aq8uHyMIiXnz1LRiGcfsHE9G6Ys5BdE02m4UQEoQQ8Hq9ZodDd4gF5XXicDjw5S9/GZrVDovDgzPnL3G2GVGRyS7GEb545abvC1/oQzYWX+eIiMxV4XbDyOcRjUah67rZ4RAR0W2oqoqvfOUrcLrcsDi9GBwZx/FT3WaHRUTXYc5BdCO32wldz8MwDESjUbPDoTukmB3ARtLY2Iinn34aP//5z5HPZfDKr96Fz1sJv6/K7NCIyl5iahZD//AzZBdvfUDLxuIwbjGOxsjnce4P/gSq03HLx6suB7Z+7RnY62vuO16iYuCpcCG0MIt8Po/FxUVUVFSYHRIREd2Gx+PBr/3ar+Hv/u7voOfceP/kOdRW+7C1eZPZoRGVPeYcRHfP43bByE8CAMLhMCorK02OiO4EC8rrbP/+/ZicnMSZM6eRjM7hZy++jm98+fOwWXmVmGgtjfzoRcy+e3+jZhYHR2/7MZKmovP3vn1fn4eoWFR86HDHgjIRUWloaWnBJz/5Sfzyl7+EnsvghVffxDe//AwqPW6zQyMqa8w5iO5ehdsNXc/BMAyEw2Gzw6E7xJEX60wIgaeffhoNDY1Ls81ieO3N980Oi6jseffvAtZ6W6wQhc9DVCYqKlw83BERlagHH3wQnZ2dsDi9yGR1/OKVNzhPmWiNMecgunuVHhcAwNDzzDlKCAvKJlAUBV/5ylfgcLqg2dzoHxxBNpszOyyislbzYBf2/cH/C5Yqz5o8v6XKg33/6f+Nmge71uT5iczgcV873IVCIZOjISKiuyGEwLPPPguf3w/N4cHMXAChMGdTEq0l5hxEd6/CXbg9Y+g5FpRLCAvKJqmoqEBnZydk1Yq8rmNqZtbskIjKXtXuDhz6k/8I38E9q/q8voN7cOhP/iOqdm1f1eclMlvFSkGZhzsiolJksViwf/9+yGphvN745LTJERGVP+YcRHfH7XJACAE9z5yjlLCgbKLm5mYIWYEQEsYnZswOh2hD0Nwu7P7938W2f/U1SOr9jZGXVAXb/tXXsPv3fxfaUuGNqJxUuJ083BERlbjm5mYIIUFWNIxPMucgWg/MOYjunCzLcDsdbGIpMVzKZ4JUKoX5+XlEIhEIISCrFoyxW4Bo3QghsOnpx+HpaEPPH38fiXtIruyNddj5f/w2XM2NaxAhUXFQFAVOhx3pPOeZERGVmmw2i/n5eczNzQEAZNWC8clpGIYBsdYzXomIOQfRXaiocCE+F0EymUQqlYLVajU7JLoNFpTX2cmTJ/Hyyy9D13UYhgFDz0EICfOBoNmhEW04ri2bcOiP/wNO//v/E7GRiTt+nLO5EV3/57+HbLGsYXRExcFT4cL0/AISiQTS6TQs/P+eiKjoXblyBf/8z/+MbDa7lHPkAQjEE0kkEkk4HHazQyTaMJhzEN2ex+3C5EyhLhYOh1FXV2dyRHQ7LCivs76+PmTTSaTjYej57Mrbd3a0mRgV0QYmJCRnA3f1kORsAELixCDaGDxuN6ZmCwv5wuEwamtrTY6IiIhup7+/H+lUEulYEHouCwMGAGBTQy1sNnZ9Ea075hxEH6uiwgU9nwPAgnKpYEF5nTU2NmJwoB96Pov21i3Ys7MdvqpKdgkQmSR0vhf5ZOquHpNPphDq7l31RRtExejDhzsWlImIil9jYyNOnZKh53NoqK/B4QO74a3ywO1yctwFkQmYcxB9vAq3G4ahw9B1jtorEXy5a521tbVBSDJkRYNu6Gja1MBiMpGJ5o+fuafHzX1wdpUjISpOHreLhzsiohLT2toKSZIga1ak0xlsbd6ECreLxWQikzDnIPp4norCwkmdi/lKBgvK66yhoQF2ux2yasPo2CR0XTc7JKINS8/lMH/q/D09dv5kN/RcbpUjIio+FTzcERGVHKfTiYaGBiiqDfPBEBZjcbNDItqwmHMQ3V6Fu5BzGHnmHKWCBeV1JkkSmpqaICkaMtkcogsxs0Mi2rDCPVeQiyVu+j7/4b04+mf/Gb5De2/6/lwsgXDP1TWMjqg4XH+4m5ubMzkaIiK6U8s5BwAEgkzOiczCnIPo9mxWCyyaCl0v5ByGYZgdEt0GC8om8Hq9kOTC+OpwJGpyNEQb19zxj14hk1QF7f/6G9j1734H9voa7P73v4P23/46JPWjI+fv9eoaUSlx2G2orHAjn01hfHwcqdTdzf8jIiJz+Hw+CEmGgGDOQWQi5hxEtyeEQENdDfLZFBYXFzE7O2t2SHQbLCibgIc7IvMZeR3zJ87d8DbHpjoc/O530PjUoyszBoUQaPz0Yzj43e/AsenGTbNzJ87ByHNsDZW/rc2bkMumkM/nMTAwYHY4RER0B7xeL4QQELKCEHMOIlMw5yC6c1uaNyGfTcPQdVy9ys78YseCsgluPNwtmB0O0YaUCoaRjS6u/HfDk4/g4He/A2dT400/3tnUiIPf/Q4ajj288rZsdBEpXiGlDaBlyyYYeh56Pov+/n6zwyEiojvg9XoBAJKsIBxmzkFkBuYcRHeupXkTACCfTTHnKAEfvU9Ba+76w10oHDE3GKINyuqtRO0jR7A4NIatX3sG1Uf33/YxssWC7f/meVTt7cTQP/wcrpbNsPoq1yFaInM11tdCUxXkM4XDna7rkCS+Jk1EVMzsdjusVisyCQWhSMTscIg2JOYcRHeuwu2Cr6oSkXgSExMTSCQSsNvtZodFt8CCsgnsdjtsNhsyCQVhdigTmULIEnb829+6p8dWHz2A6qMHVjkiouI0Nx/EqXMXkcvlIZBCIpFAMBiE3+83OzQiIvoYQgj4fD4sRoJYWAwhm81Bvcl8ViJaO8w5iO5MJLqA0909iC4sQtcN6LqO8fFxtLe3mx0a3QJPFCbx+XxYCAewGAshk8lC01SzQyIiIgIAGIaBsYkpnDxzESPjk5AkGaqtAorFgYqKCjidTrNDJCKiO+D1ejE6XEj5ItEF+H1VJkdERER0zczsPE6d68GVgWEAAqrVCZvVCavVCp/PZ3Z49DFYUDaJ1+vFyNC1w12132tyREREtNHpuo4r/cM4de4iZueDkGQVVmcVZM0Oh8OBgwcP4tChQ7DZbGaHSkREd8Dr9UKSCzlHMBxhQZmIiExnGAZGxiZx8uwFjE1MQ5IUaPZC84qmWbB//34cPXoUHo/H7FDpY7CgbJIbD3dRFpSJiMg0mUwWF3uv4Ez3JUQXY5BVK2xuPyTFgqqqKhw9ehR79+6Fpmlmh0pERHfB6/VCSDKEkDhqj4iITJXP59HXP4RTZ3swHwxBVjRYnV7Img1OpxOHDx9GV1cX5yaXCBaUTeLz+a473EXNDoeIiDaYdCaDoZEJ9A+OYHh0HJlsDopmh62iBrKiob6+Hg8++CA6Ojq4gI+IqEQtXxeWZIU5BxERrbtcLofR8Sn0D45iYHgMyVQKynXNKz6fDw888AB2794NVeUo2FLCgrJJvN5CRzIPd0REtF7iiSQGh8cwMDSKkbFJ5HUdsqJB1hywO+yQZAVtbW148MEH0dTUBCGE2SETEdF9qKoqjLgQsoJQmDkHERGtvZs1rkiyAkWzwV7hgaSo2LRpEx544AG0t7ezeaVEsaBskqqqKgghIMkqpmfmkcvloCj84yAiotW1sBjDwNAorg6OYGJqFoZhQFYsUKxuWDQbJFmBzWZDR0cHjhw5gurqarNDJiKiVaKqKioqKpBJLiAYCiORTMFus5odFhERlZlEMoXB4TH0D46sNK5IsgpFc8But0FSVGiahra2Nhw+fBibN282O2S6T6xgmkRRFNTX12NsNI1IdA6/evsDHHv8E2aHRUREZSAYiqB/aAT9g6OYmQsAAGTVCs3ugaLZICQZbrcb27dvR0dHB5qamtgZQERUpjZv3oxwKIhkchG/eOUNPPf5J/k9n4iI7tudNq60t7ejo6MDW7du5ViLMiIMwzDMDmKjmp6exl/8xV8gGYsgHQ/jycc/gd072s0Oi4iISoxhGJidC2BgaAxXh0YQDEUghICsWqFoNsiqDUKS4PV60dHRge3bt6OhoYEjLYiINoDFxUV873vfQzQcQHJhHocP7MbDDxw0OywiIipBy40rA0NjmJ6dB4BrOYdmg8TGlQ2DBWWTnT9/Hj/5yU+QjoWgZ5N4/qvPwu+tNDssIiIqcrquY3J6Dv2DI+gfGsHCYhxCSJA1KxTNDlm1QAgJdXV1Kwc6v9/PIjIR0QY0OjqKv/mbv0EqHkEmEcWvfe4YtjZvMjssIiIqcoZhYG4+iP7B0WuNKxBLOQcbVzYyFpSLwIsvvogTJ04gEZnG/l3b8fjDR8wOiYiIilg4soAf/csrCEcWICQZimqDYrFBUiyQJAmbNm1aOdBVVvJFSiIiAj744AO89NJLSC3MobmxBl/83DGzQyIioiKWTKXxk395FZMzc9c1rtggq1YIIaG2thYdHR1sXNmgOEO5CDz++OM4ffo0FNWKweExPPbQYf5FJCKim1pYjOGHP30RsXgaNnc1JEWDLMvYunUrOjo60N7eDqfTaXaYRERUZA4fPoz33nsP2VQMo+NTyGSy0DTOsiQioo9KpdP455+9jNn5EKwuH2TVysYVugELykXAarWiubkZV/viiCwEEAhFOPaCiIg+IhaL44c/eQmxeApWdzWqa2rx8MMPY9u2bbBarWaHR0RERUwIgfb2dpyMhJBIRDA6PoW2liazwyIioiKTyWTx43/5JWbng7C6q1HhqcKjjz6K7du3s3GFVnAydpFob29fujYgMDA0anY4RERUZBLJFH74s5cRWYzD6q6Gv7oGv/Ebv4Hdu3ezmExERHekvb0dkqxCkhUMDDPnICKiG+VyOfz0xdcwNTMHq8sPl9uDb33rW+jq6mIxmW7AgnKRaG9vhxAC8tLYCyIiomXLV85C4QXY3H5UeX341re+xUMdERHdlS1btkDTNCiaDYPD49B13eyQiIioSOTzefz8pV9hbHwaVpcPDlcFnn/+eVRXV5sdGhUhFpSLhMfjQU1NDWTNhunZeSSSKbNDIiKiIpDJZPHjn7+KuUAYVrcfFZ4qfOtb30JFRYXZoRERUYlRFAWtra2QVRuSqRRm5gJmh0REREVA13W88OpbGBwZh8Xlhc3hxje+8Q3U1dWZHRoVKRaUi0hzczNkRQMAzAdCJkdDRERmy2Zz+MkLv8TU7Dysbh/cFZX41re+haqqKrNDIyKiEtXc3AyJOQcRES0xDAMvv/4OrgwMw+rywmp34etf/zo2bdpkdmhUxFhQLiLV1dUQUmFPYjAcMTcYIiIyVS6Xw89feh3jEzOwuvxwOAtXzvx+v9mhERFRCfP7/RBCQJIVBIJhs8MhIiITGYaBX775Pi71DcDqrILF5sJXv/pVNDc3mx0aFTkWlIvItcOdysMdEdEGpus6fvHqmxganYDF5YPd6cbzzz+P2tpas0MjIqIStzwLU5JVNrEQEW1ghmHgzXdP4nxPHyyOSmg2F5577jm0traaHRqVABaUi8gNh7tQxNxgiIjIFLqu46XX3kb/4CisLh9sjsKVs4aGBrNDIyKiMuBwOGC329nEQkS0wb134ixOd/fA4vBAs7nwhS98AR0dHWaHRSWCBeUiYrVa4XK5Vq6fGYZhdkhERLTO3njnBHqvDMLq9MJic+KrX/0qmpqazA6LiIjKSHV1NSRZRTyRRDKVNjscIiJaZ2fPX8LxU93Q7BVQrS587nOfw65du8wOi0oIC8pFZvlwl0qnkUgkzQ6HiIjWQSaTRSS6gHw+j7MXeqHZ3NBsTnz5y19GS0uL2eEREVGZ8fv9EHJhdwu7lImINoZcLodwpJBznOm+BMVih2Zz49Of/jT2799vdnhUYhSzA6Ab+f1+9CsqACAQCsPhsJscERERrTbDMNA/NIqxiSlMTc9hLhCCYRjYv7sTTocdGd2ApmnYtm2b2aESEVEZ8vv9kORCzhEMhbGpgTP6iYjK0ej4JIZHJzA1PYeZuQDyuo6tTY1wOOyIpRYAADt37jQ5SipFLCgXmerqagip8McSDEXQtIkzM4mIys0Hp8/j3Q/OQJIVyIoFmt0DQ9dx9kIvbFYr8nkdqVQKkUgElZWVZodLRERlprq6emkZuIJAiB3KRETl6PLVIfzilTcgSTIkxQLF6oYiBIZGJ2CzWqHncgCAmZkZ3oqku8aRF0XG7/cvHe64JIOIqFzlc3kICKg2NyzOKqhWJ1SbC5KsIplKQc9lYBgGpqenzQ6ViIjKkN/vB8Bl4ERE5SyfLxSMFauzkHPYXFCtTiiarZBz6DkYus6cg+4JC8pF5vrDXYCHOyKisnS4aw86t7cgHQshHQvBMHQIIWBxFLqRDUOHoecxNTVlcqRERFSOHA4HHA4Hm1iIiMrYju1tONK1B5lEFKnFAAw9DwDQ7B4ICACAns8w56B7wpEXReDUqVM4deoUkskkMpkMgOVugTAMw4AQwuQIiYhoNSmKjKMH9yEeT2JkfBL5XAZWlxeyaoGi2ZHPpSGEwOLiotmhEhFRmejr68Nbb72FeDyOTCaDVCoFSVaRiC0gkUzBbrOaHSIREa0iIQT27upAPJ7ExctXkYjOwuos5ByqzYVMcgFCUhAO84VFunssKJssl8vhlVdeQSqxAD2XhWEYgKFDz2eR13MsKBMRlZl4PIGfvvgapmbmARReQJRVC/R8DpKsQrNXILUYgJBkdHR0mBwtERGVi1/+8peYm5lCPpu6lnMsdatlMhkWlImIykg2m8MvXnkDA8NjAABJUiCrFhh6DoahQbW5kEvHISQZbW1tJkdLpYgFZZNJkoRcLod8JgU9m0RFhQsWzQpNU7GrYxskiVNJiIjKhWEY+OWb72N6NgirywdZsUBIEmRZRkNDA5qamvDOO+9AsdhhGAaGhoawfft2s8MmIqIyoOs68rk0MskFVHrcsGg2qKqC1i1N8FS4zQ6PiIhW0fsnz2JweBxWZxUk1QpJkiGEQF1dHbZu3Yp33313aTF4DpcvX8bjjz9udshUYlhQNpkkSbBYLEjHJVRUuPBb33zO7JCIiGiNXB0cQf/QKKxOL9weL44ePYrNmzejoaEBilL4kTw9PY3+/n7A0AsdZERERKvAZrNBCAmSEPitbz7HW5BERGVqZnYep871QLW7YbG78eCDD6KpqQmNjY2wWCwACrP0X375ZRiGDrvdbnLEVIrY/loElg93qVTa7FCIiGgNGIaBS339eOX1d6BoNsiaDZ/5zGfw0EMPoampaaWYDABf+cpXsHnzZqiahSMviIho1VitVgghQTcMZLJZs8MhIqI1MDI2gZ+++DqEpEC1uvDII4/g8ccfR0tLy0oxGQCOHDmCnTt3QpYV7N2717yAqWSxQ7kIWK1WCElCKpHmzGQiojITjyfwyzffR//QKBTNDovDg46ODnR2dt7041VVxW/+5m8CAH8eEBHRqrHZbIAo9BOlUmlYNM3kiIiIaLWkMxm89d4pnO/pg6xaYHX5UFdXhwcffPCmHy+EwHPPPbfya6K7xYJyEVjuUNYNA9lsDpqmmh0SERGtgr7+Ibz25nGk0hlYnV4oFjt2796Nz3zmMx97cOOhjoiIVpvNZoOQrhWUK9wukyMiIqLVMDYxjVdefwfRhRgsjkooFgdaWlrwhS98AbIs3/JxzDnofrCgXAQK3QKFv8ipdJoFZSKiEpdIpvD6W8fR1z8ERbPB7qmF0+XGZz/7WY6xICIiUxRGXlzLOYiIqLRlszm8c/w0zl7ohSRrsHlqYLHacezYMXR1dbFgTGuKBeUi8OFuAbfLaXJERER0rwaGRvHqG+8hkUzD6qyCrNmxY8cOfOYzn4HD4TA7PCIi2qCWb0UCQCqdMTkaIiK6H1Mzc3jxl28hElmEaq+AanWiubkZzzzzDKqqqswOjzYAFpSLwPKCDABIcjEfEVFJSqXTeOOdE+i53A9FtcLmqYXD4cTTTz+NnTt3skOAiIhM9eEZykREVHpyuRzeP3kOJ89ehCSrsFXUQLPa8MlPfhKHDx+GtNSsSLTWWFAuAtd3C6Qz7BYgIio1I2MTePn1dxGLJ1bmlrW3t+Nzn/scXC7OqCQiIvMVcg4BISQWlImIStDsXAAv/vJtBEJhaPYKqFYXGhsb8eyzz8Lv95sdHm0wLCgXAXYLEBGVJsMw8Prbx3HuwmXIqgW2ilrY7A489dRT2Lt3L7uSiYioaFitVgCAEBKbWIiISszJMxfwzvHTgKQUupItNjz66KN48MEH2ZVMpmBBuQhc6xYQLCgTEZWQ3isDOHfh8g3blJ955hlUVFSYHRoREdENbDYbAEBI7FAmIiolE1MzeOv9U9BsLqi2CtTV1eHZZ59FbW2t2aHRBsaCchG41i0gc+MyEVEJuTowAlmxQLU68eSTT+LIkSPsSiYioqK0XFCGkLi3hYiohPQPjkJIMlRbBY4cOYJjx45BlmWzw6INjn3xReDa4U5w4zIRUYnI5XIYm5iCrFnhdDpZTCYioqK20qEsJDaxEBGVkOGxCSiqFZIk4dFHH2UxmYoCC8pFgNfPiIhKz+T0LDLZHGTVitbWVhaTiYioqKmqCkmSIIRAmk0sREQlIRJdQDAUgaxasWnTpmsNiUQmY0G5CLBbgIio9AyNTEBIMiRZRVtbm9nhEBERfSwhRGF3C5tYiIhKxvDoJABAVq3MOaiosKBcBDRNW+oW4OGOiKhUDI2OQ1GtkGUZLS0tZodDRER0WzabDWATCxFRyRgeHYesWiAkiQVlKiosKBcBIQSsViuEJPH6GRFRCQhHFhAKRyFrhatny8tViYiIipnNZoMQEtKZLHRdNzscIiL6GNlsDmMT05BVK1wuF2pqaswOiWgFC8pFgt0CRESlY3xyGgAgK4X5yURERKXAarVCiEIKyGXgRETFbXp2Htkcd7ZQcWJBuUgsH+5S6Qy7BYiIilwmk4UQAkKSUFVVZXY4REREd2R5hjIAjtojIipymUzhhT9JkplzUNFhQblILF8/A9gtQEREREREq2/5ViQA3owkIioRBgDDMMwOg+gGLCgXieu7BThHmYiouEUWFiAkGQBgt9tNjoaIiOjOXD/ygjkHEVFxiy4sQkBACIk5BxUdFpSLBLsFiIhKx9xcEJKsAQBqa2tNjoaIiOjOcOQFEVHpmJ0PQlJUCCFQV1dndjhEN2BBuUjcsCCDhzsioqKl6zrmAiFIiobKysrCC4JEREQloPAzq7DUKckmFiKiojY7F4Qkq5AkCTU1NWaHQ3QDFpSLxA0zlFlQJiIqWsFwtLBtWVFRX19vdjhERER3rJBzFK5PM+cgIipemUwWwXAEkqKhuroaiqKYHRLRDVhQLhKFkReFbgEu5SMiKl5z8wEAgCRrvHpGREQlxWq1AgCEJHGGMhFREZsPhmAYBiRFYxMLFSUWlIvEDd0CvH5GRFS0ZmYDkCQFQpJ4uCMiopKyPKaJOQcRUXGbnVtuYlHZxEJFiQXlIuFwOAAAQpKxGIubHA0REd1KYTkGF/IREVHpYc5BRFQaZueDkBWNC/moaLGgXCS8Xi+AwqtPwVDE3GCIiOimdF3H3NK2ZY/HA7vdbnZIREREd8xut8NutzPnICIqcjOzAS7ko6LGgnKRsNlscDqdkGQFoXDE7HCIiOgmQpHlhXycZUZERKXJ7/dDkhXE4gmOvSAiKkLZbG5lIZ/f74eqqmaHRPQRLCgXkcLhTkUimUIimTI7HCIi+pBrs8y4kI+IiEqTz+eDkAvFiVA4anI0RET0YXOBIBfyUdFjQbmILBeUAfAKGhFREZqdC3IhHxERlbTlDmWAOQcRUTGanQ8C4EI+Km4sKBcRv98PsXK4C5scjTny6Qwivf3IpzNmh0JEdIPZuQCGRschKYUX/ni4IyKiUuT3+yGEBElSmHMw5yCiIhMKR9F3dQiSrEIIwSYWKlqK2QHQNT6fD0IISJKyYa+f9fzx9xE4dR6+Q3ux5/d/1+xwiGiDMwwDg8NjON3dg/HJGUiSDM1RicrKSi7kIyKikuT3+wFgaXcLcw7mHERkNsMwMDE1izPdPRgYHgMgoNkrIMsyF/JR0WJBuYisHO6Ujbl1ORUIIXDqPAAgcLIbqWAYVm+lyVER0UaUzebQc7kfZ873IBxZgKxosDq9kDUbHA4Hjh07ZnaIRERE98TlcsFisSAtM+dgzkFEZsrn87g6MILT3T2YmQtAkhVodg8Uix2aZsGnPvUpLuSjosWCchFxOByw2WzIJBQEwxGzw1l38yfOfeS/Nz39uEnRENFGFIvF0X2xD+cuXkYqnYai2WBzV0NWLfB6vTh69Cj27NnDgx0REZUsIQR8Ph9i0SCiixFkszmo6sZJC5lzEJHZUuk0Ll66irMXLmFhMQ5ZtcDq8kFWrXC73Th8+DAOHDgAm81mdqhEt7RxTg4lQAgBv9+PhUgAi7EQ0pkMLJpmdljrZu742Y/8Nw93RLQe5gMhnO7uweUrg9ANA4rFAbunCpKsYMuWLTh69Cja2toghDA7VCIiovvm9/sxNjIEwzAQCkdQU+0zO6R1w5yDiMwSiS7g7PleXOy9gkw2B8Vih62iBrKioba2Fg888AB27NgBWZbNDpXotlhQLjI+nw/DQ4XOt2AogvraapMjWh+ZyAIil/tveFuk9yoy0UVoFS6ToiKicmYYBoZHJ3C6uwej41MQkgzV6oLV4oSsKNi5cyeOHj3K5XtERFR2/H4/JPlazrFRCsrMOYjIDJPTszh9rgf9Q6MABFSrE3anE5IkY9u2bTh69Ciam5vZvEIlhQXlIlM43BX+WELhjVNQnj/ZDejGjW/UDcyfOIeGYw+bEhMRladcLofeK4M43d2DYCiyNB+5CrJmh81mQ1dXFw4dOgS32212qERERGvC5/NBSBKEJG+oxXzMOYhovei6jv6hUZw514PJmTlI0rX5yKqqYe/evThy5Ah8vo3xgh6VHxaUi4zf74cQEiRJ3lBLMuaOn7n52z84y8MdEa2KeCKJ7ouX0X3xMhLJ1Mp8ZEnRUFVVhaNHj2Lv3r3QNtCoISIi2phWloHLCgLhsMnRrB/mHES01tKZDHp6r+Ls+V5EFhYhK9fmI7tcLhw6dAhdXV2w2+1mh0p0X1hQLjLLhzuxgbYuZxfjCF+8ctP3hS/0IRuLQ3U61jkqIioXyVQab793Er1XBpHP61CsDtg9tZBkFZs3b8bRo0fR3t4OSZLMDpWIiGhdeDweKIoCiTkHAOYcRHT/8vk83jtxFud7+pBKZ6Bo1+YjV1dX4+jRo9i1axcUhWU4Kg/8P7nIuN1uaJqGdJkc7hJTsxj6h58huxi/5cdkY3EY+fxN32fk8zj3B3/ysYc71eXA1q89A3t9zX3HS0Tl5xcvv4HRiWmoNhcsFgdkRUVnZyeOHj2KhoYGs8MjIiJad5IkwefzIRmLIBKJIJ/Pl/QSKOYcRGS2X71zAud7+qBYnLB7vJBkBa2trTh69Ci2bt3K+chUdlhQLjJCCPh8PsQXQoguRpDN5qCqpfvHNPKjFzH77qn7eo7FwdHbfoykqej8vW/f1+eh4mQYBlLpDJLJFGRZgtvl5A9jumOzcwGMjE/C6vTC7vLgwIEDOHz4MDwej9mhERERmcrv92NyfBS6YSAcXYCvqtLskO4Zcw66X4ZhIJ3JIJlMAwAq3E7eXqM7Fk8k0dN7FarNDZuzErt378bRo0dRXb0xdmLRxlS6lcoy5vf7MT46DMMwEI5EUe33mh3SPfPu34XpN44DhnH7D75XQsC7f9faPT+tmejCIqZm5pFMpZBIJJFMpZFMppBIJpFMppFMpZBMpqBf9/+PqiioqqyAt8oDb5UHjfW1aKyvNfGroGJ25vwlSJIMWbPh2LFj6OrqMjskIiKiouDz+VaWgQdDkZIuKDPnoI8TTyQxMTWDRCK1kl8kkqmlHOTa2/K6vvIYWZJQ6bmWc9TV+LGlqZGNLXRT53v6kM/rsFgcOHz4MI4dO2Z2SERrjgXlIuT3+yHJKoDC4a6UC8o1D3ZBdTnQ+3//JdJrMMLDUuVB57/9LVTt2r7qz01rKxSO4q///scrBzchyRBCKmwcF/LSv1WoduvK2w3DgJ7PIbSQQiA8Dv3qEAzDwGePPYqO9haTvyIqNrFYHH1Xh6BY3bDb7dizZ4/ZIRERERUNv9+/cv4q9VF7zDnoVlLpNP7673+MRDIFAEt5xXKusfRroUCxuaEu5SAAoOeziMazCC9M4ergKAxDx4OH9+OBQ/vM/HKoCOVyOXRfvAzFYockKzh06JDZIRGtCxaUi5DP5yv8gJPkkj/cAUDV7g4c+pP/iMt/+jcInDq/as/rO7gHHf/PX4fmdq3ac9L66b0yAN0w4KhsAIT4yKv9iqLA4XDAbrev/DuTyWB+fh6hUAiGYRTGYSzM4/LVQRaU6SO6L/ZBNwxYLQ4cOHAAqqqaHRIREVHRWF4GXi6L+Zhz0M0MDY8jkUzB7qmFkJSP5ByyLN+QbzgcDuTzeQQCAQSDQeSX5m6nYyFcvjrIgjJ9RF//EOKJJOyeWnR0dHC0Hm0YLCgXoWuHOwXBcMTcYFaJ5nZh9+//LiZeegMDf/1P0LO5e34uSVXQ+htfQuOnH+OVoxI2PDoBWbVBSBI+97nPwe1233CY0zTtlo/N5XIIBAL4H//jf0DWrBibmEYul+PGXFqRzebQ3dMHxeKArLBTgIiI6MOqqqogSRIkWUGIOcdHMOcoD4Mj45AVDZKs4rHHHkNdXR3sdvtK3qFp2i3/fPP5PMLhML7//e8jp1oRCgcRXVhEBV9coCWGYeBM9yXIqhWSrOLo0aNmh0S0bjhlvghVVlZCUZRCt0CZHO6AwsLBTU8/jq7/7/8H9oZ7m3lrb6xD1//1HWx6+nEe7EpYLBbHzFwAsmZFbW0tDhw4gLa2NjQ0NMDj8XxsMRkodC/X1tZiz549kFUrsrkcJqfn1il6KgUDw2NIplJQrU7s2LEDbrfb7JCIiIiKiizLhaKyrCIUjkK/bn5sKWPOQct0XcfI2ARk1Qqr1YqHHnoI27ZtQ2NjI6qqqmCxWD72z1eWZfh8Pjz44IOQVSsAYGRscr3CpxIwOxfAXCAE1epCQ0MDGhsbzQ6JaN2woFyEJEmC1+uFJKsIh6Mr12zKhWvLJhz64/8AZ/PdfbN1Njfi0B99B667fBwVn+Glg5iiWrFt27Z7fp6WlhZIsgohJIyO83BH1yRTS3PyJAVbtmwxORoiIqLi5Pf7IWQVuXwe0YWY2eGsKuYcNDk9h1Q6A1mzorW1FZJ0b+WP1tZWCEmCrGgsKNMNUuk0gMLt8i1btvAFKNpQWFAuUoXFfAp0w0A4umB2OKtPSEjOBu7qIcnZwMqSBCptgyNjkBUNQpLR1tZ2z8/T0tICIQRk1Yrh0YlVjJBKncNuK/zC0JFIJO768bqu4/LlyxgdHV3lyIiIiIrHcs4BAMFQ2ORo1gBzjg1taGQMQkiQZO2+co66ujrYbDbIqhVjE1Nl081P989htwMADD1/TzmHYRgYGhrClStXYBjGaodHtKb4k7JI+Xw+CLmwQCoUjpoczeoLne9FfmnT7p3KJ1MIdfeuUUS0XvL5PMbGpyCrNtjtdjQ0NNzzczkcDtTV1UHWrJgLhBCP3/0PcSpPywVlQ9cRi91dx1UikcD/+l//Cz/4wQ/wV3/1VwiHyzDBJiIiwlKHsiRDCMGcYwlzjvIxNDIBWbNCkiS0trbe8/NIkoStW7dCVq1IpTOYnp1fxSiplNmXcw4jj8XFxbt6bDabxU9+8hP8zd/8Df7+7/8eQ0NDaxEi0ZphQblI+f1+CCFBCKksti5/2PzxM/f0uLkPzq5yJLTeJqZmkM5k7/vq2bKWlpaVmWaj41OrESKVAc/SspR8PoPBwcE7fsV/ZmYG3//+9zE0OIBMvFBIXlgow1siREREWGpiEaLsdrcsY86xcUUXFhEIhaGoNjQ0NMDhcNzX87W2tkJSNAghcewFrbDbrLBoKvRcFmNjY8hms3f0uGg0ir/8y7/E+fPdSMdCK28jKiUsKBepQkFZQJKVsrt+pudymD91/p4eO3+yG3ru3rc1k/ki0cIrt0KSkclk7vv5CkVpGZKsYniMYy+owOl0oLG+Frl0HPPz85icvP3B/+LFi/iLv/gLBANzSERnoecL32tcLm7yJiKi8rRcUBayUnZNLMw5Nrbrc45sNnvfe4mujdqzYIQ5By0RQmBbyxbk0nGkUin09t7+dsPIyAi+//3vY3JiHMnoHPK5NIQQzDmo5LCgXKSqqqogSVKhW6DMDnfhnivIxW4+msB/eC+O/tl/hu/Q3pu+PxdLINxzdQ2jo7XW1tIMu82KTDyMvr6+O/qh+3E2bdoETdOgaFaMjE1y9hSt2NXZhnw2DT2fw7lz5275cbqu49VXX8WPfvQjJGIRpKJzMPQ8hCQDAJxO53qFTEREtK5UVYXH44EkqwiFI2V1jmLOsbE11tfAV1WJdDyMmZkZvP/++/f1fG63G9XV1ZBVK6ZnA0im0qsUKZW6nZ1t0PU89Fwa3d3dt/w4wzBw4sQJ/O3f/i0WIkEko7PQ81lISzkHC8pUalhQLlKKoqCyshJCVhEKR8tq8P/c8Y9eIZNUBe3/+hvY9e9+B/b6Guz+97+D9t/+OiRV+cjH3uvVNSoOdpsVn3zkKHKZJHLpBF544YV7WmCwTJZlbNmyBbJqRSKZwtx8cBWjpVK2rWULNFVBLh1HT0/PTa+gJZNJ/O///b/x3nvvIR0PIx0LYUdHK9wuB4Qkw2q1QtM0E6InIiJaH4XFfCrSmSxiZbSPgjnHxibLMp761EMw9ByyqUW8+eabmJ+/v9nHy6P2DMPA6DjHXlBBQ10NKj1uZFNxDA8P33T/Si6Xw89+9jO8+OKLSMUjSC7Mo6mxDvW1/pUmFhaUqdSwoFzElrcu5/J5LCze3VKpYmXkdcyfuLFT0LGpDge/+x00PvUohBAACldHGj/9GA5+9ztwbKq74ePnTpyDkS+fAvtG1N66BW0tTUjHw4gtLuDll1++r+draWmBpFggIDjTjFZomortbVtveQVtdnYW3//+9zHQfxWphXnk03F88pGjeOqTDyGVSkNIMg92RERU9nw+HyS5UFAtl1F7zDkIAOpq/Di4byeyiQVk0yn8/Oc/v69GrZaWFkiyAklWMMqcg5YIIbCrYxvymSQMXf9Il/LCwgL+6q/+CufOnUU6FkImEcXhA7vxa58/hlwuDyFkyLIMu91uzhdAdI9YUC5iy90CAMpm7EUqGEY2em37acOTj+Dgd78DZ1PjTT/e2dSIg9/9DhqOPbzytmx0EalgeRx2NyohBD718FFYNBXpeAQXLlxAIBC45+e7YaYZuwXoOjs6bn4F7dKlS/jzP/9zBOZnkYzOwqIKfOnZT2P/7k5ksllksjlILCgTEdEG4Pf7ISQFAoI5B3OOsvPAof3weFxIx0MYGxvDwMDAPT9XU1MTFEWBrFoxMs5Re3TNju2tgABymQS6u7tXXrgYHR3F9773PYyPjSIZnYPQM/jsk4/h4QcOQpIkxOIJCEmG0+lceaGLqFR89G4PFY3C4U6GEIXDXcuWzWaHdN+s3krUPnIEi0Nj2Pq1Z1B9dP9tHyNbLNj+b55H1d5ODP3Dz+Fq2Qyrr3IdoqW15HQ60N7ajIt9gwCAWCwGn893T89VVVWFyspKzCUXMTk1i0wmC01TVzNcKlHLV9AWE4UraMFgEOfOncO7776LbDqOTCyMmmovnnn6k3C7CrOSY0vzFtmhTEREG8HyMvByWszHnIOWqaqC3Z3tePv90wAKOce9P5eKpqYmXLm8iIXFAILhCHxV/H+ECrnt1qZGjEzMIhqNYnh4GKFQCC+99BKy6QRSi0G4nXY8+5lPodrvBQDk83kkkilYHDbmHFSSWFAuYstblyVZRTAcMTucVSFkCTv+7W/d02Orjx5A9dEDqxwRmSkYjkKSC/Npa2pq7vl5hBBoaWlBMDCHdCKC8cnpsngBhu7f8hW0d46fgaHr+Iu/+AvE43FkElFkU4vYsb0VTzz6INTrZicuz48UksSFfEREVPaWX9CXZBWBMikoM+eg64XCUUiKCiHEfeUcQOFm5MBAPwQERscmWVCmFTs62jA4Mg49l8WPfvQjxONx5FIxpBMRNG2qx2effAx2m3Xl4+OJJAA2sVDp4siLIrZ8uBOyglCZFJSJlhmGgflAEJKioqKiAjab7b6er6WlBUJSIEky5yjTDa6/ghaPLSK1OI98OobHHzqMT3/q4RuKyQAQj7NDmYiINg6r1QqXywVpqUOZ1/ip3MwFgpDkQkG5urr6vp6rtbUVQkiQVI05B92gdctm2KxWZNNxxOMxpOMhpBMRHNy3E899/skbisnA9U0szDmoNLGgXMQ0TYPH4yl0KPNwR2UmurCIdCYLSVZRW1t738+3ZcsWyLIMWbVieGxiFSKkcrF8BS2bWkQyOgtNFnjumadwYO/Om84qi8UThau/QuLhjoiINoTl3S2pdBqJZMrscIhWTT6fRyAYhiSr8Pl8UNX7G4vn9/vhcrkgq1aMT84gl8utUqRU6mRZRmd7S2Eh+MI8kEvjs8cexaOfOAxJ+mjpbbmgzL0tVKpYUC5yy4e7dCa78g2HqBzMBUIAAEnRVqWgbLVa0djYCFm1IhxZQHRh8fYPog3jE0cOwGm3oLG+Gs9/5fNo2lR/y49dXo4BgIc7IiLaEMpxGTgRUBh3kdd1SIp23+MugGuj9mTVimwuh8np2VWIksrFof274K2sgNfjxNef+yw62ltu+bEr9R02sVCJYkG5yBUOd4Xr2MEQtwxT+ZibDxaui0nyqhzugMIVNFktXCXiFbT7l0qnMT07j3g8UfI3JKr9Xvzr3/gqvvKFp1Hh/vgDGwvKRES00fj9foiVnCNibjBEq2guEASAVbsVCRRyDklWIThqb1VkszlMz85jYTFW8jmH0+nAt7/xRfz6176AmuqPXzgfjycgSTKEEMw5qCRxKV+R8/l8EJICAYFQOIrmzY1mh0S0KgLBMCSlsJBvtQ53LS0t+NWvfgVZ0TA8NoE9O7evyvNuJLquY3R8Cj2X+zEwNIpcPg8AsFo0VFVWoKrSgyrP0r8rK+CpcEGWZZOjXl0sKBMR0UZzbRk4d7dQeZkPhCBJCoQkrVrOsXXrVkiSBFm1YHh0Eo88uCpPu6EYhoGpmTlcutyPvv4hpDNZAICqKEs5x7V8w1vpQaXHDUUpr/IVcw4qdeX1N7IM+f3+wixPWSmbrctEQKFDWZJVWCwWVFauznbkuro62Gw2ZBJWjE9MQ9f1m86roo8KhaO41NePS30DWIzFIckKFIsTNtUKQ89Bz+cwF45jNhCFns+udA9IQsDjccNb6YG3yrNy+Kv0uGG1WEz+qu7NcreAzWYru4MrERHRzfj9fgCFLs4gC8pURuYCIUhKYZzLahWU7XY76uvrMToUw3wwhFgsDqfTsSrPXe5isTgu9Q2gp68foXAUkiRDsThgq6iCoeeh53MILaQQCMeg50dgGDqAwqiRCpfzhnxj+d8fXnZXKmIxFpSptDFTLnI3HO5YUKYykUylEV2MweqsQk1NzU0Xo90LSZLQ0tKC8wsRJBcWMD07j4a61RmnUa4CoTB++cb7mJiagRACiuaAraIakqzB4XCgra0N8XgcgUAAkUgEQKGjwDB0GPks9HwOi8ksorFZDI5MQNfzK8/tdNhXDnre6zoNXE7Hqv2Zr7ZcLofFWByKrYIHOyIi2jAcDgfsdjsyCeYcVD4Mw8DcfAiSrMHpdMLpdK7ac7e0tGBifAwAMDoxhR3b21btuctRPJ7AL998HwPDY4AByJoNNrcfkmKBxWLBtm3bkM1mEQgEEAqFVppXlovMej6LeCaH2OQ8hsemoevXliHarNalTubrupqrPHC7nEXdXBSJLkBIMhRFgdVamkVx2thYUC5yVqsVLpcLmUSUhzsqG/PLC/nk1VnId72WlhZcvHgRQkgYHp1gQfljRBcW8U8/fRmJVBZWpxeyZoMsy2hra8PevXuxbdu2G8ZZZLNZBINBBAIBBAIBzM/PIxAIIBgMrmy4Ngwdej4HI59FJp/D1FwEE9MB6PnsyvNoqnJDV4GmKpgLhFDpcWPf7k5YNG3dfy+WzcwFkNd1aIqG+vpbL+4jIiIqN36/HwvhecRiC0il0yV704hoWSyeQDKVgtXlXJOc4+233y6M2hudYEH5Y6TSafzTz15BIByFZvdA0ewQkoTm5mbs3bsXnZ2d0K47/+dyOYTD4ZVc4/p/MpkMgKUGl6VCcz6fxWxwEdNzIRj5HAwUitGKLKPSU7EyQsNut2FuLgiHw4b9uzvhcNhN+f0ACgX2yMIirE4v6uvri7bZhujjsKBcAnw+H8KBWSRjC4gnknDYbWaHRHRf5gNBCBRGuazF4U4IAVm1YHR8Ep84cmBVn79cxBNJ/NPPXkYimYG1oho+nx9dXV3YvXv3Lbs3VLWwzOTDf2a6riMajX7kwBcIBBCPxwEsHfqWRmfo+SyC0STmQwvQ88MwDB2yokHPZXH2fC8+ceQAtrdthaapa/778GGTU7NLMyRVbN68ed0/PxERkVl8Ph+GBgs/e0PhKOprq02OiOj+zM2v/kK+ZY2NjbBYLMioFoyMTcEwDBYFbyKbzeEnv3gNgVAENnc13J5KHDhwAHv37r3l2ENFUeD3+1duay8zDAOLi4s3zTkWFhZWPma5q9nIZxGJZRBamII+NAZDzxdyjnwO5y704vCBPdi9czts1vV/8WxiehYAICkacw4qWSwolwC/34/B/muHOxaUqdQtzzITQqz64c7tdqO6uhqTqRimZwNIptLrekiYD4bxyuvvQJIkHNq/Cy1bNq/Z4TKXy0HXC4dXSRKFeetL/9xMIpnCS798C+OTM1BVBclUBraKalRX1+A3f/M3Ybff26v0kiShsrISlZWVaGu7sTsjkUjc9NAXDoevXWVbOoDr+RzSiShe+dW7ePWN9+D3VqK+rgb1tX7U19bAU+Fa84P61MwcJEWDEIKHOyIi2lD8fj8kuZAeBkMRFpSp5M0FQoWzsSSjpmZ1by3KsowtW7bgUiyK5MIiZucCqK3x3/6BqyQWi+PF195GKpXG/j2d6GxvXbPxDvl8Hvm8vpRnFM7+H5dzZLM5vP7WcVy+Ogir1YJ4PAmr2w9XhQff/va34fV67ykOIQTcbjfcbje2bt16w/vS6fRNc45QKIT80pLx5ZzD0PPIJBfw9vHTePv4aVRVVqChtgZ1tX7U19XAV+VZ+5xjeg6SJEOSFeYcVLJYUC4Bfr8fYuVwF8amhtUtwBGtt+WFfJIkfeSV59XQ0tKCmelCp8Do+CS2t229/YNWwczsPP7pZ68gk9MhhISfvPAaGmqr8czTn1z1K1UfnO7Gex+chb5UlL2eEAJi+d/XFZvzeR153YBqcyGTy8Lq9sNT6cXzzz9/z8Xk27Hb7di8efNHDkq5XA6hUAiBQACJRAJ2ux0XL17E5cuXoefdyGfTCC+mEQj3o/vi5cJz2ayor60uHPZqa1Bb7VvVLmbDMDAxNQtZscBut9/zYZeIiKgUFZaBS5AkBcFQ2OxwiO5bIefQ1qSJBSjkHJcvX4YQAiPjk+tWUF4eWxddjENSNLz02js4ceYCPv/pT8LvXZ1l58suXxnEy6+/g1w+f9P3S9c1tCznHLpuIJfLQ7W5kMrlYHF5YXO48I1vfGPNztcWiwUNDQ1oaGi44e35fB6RSGSli9nlcuHq1as4d+4cVKsL+Vwai4kMLl0dxsXLVwvPpamoqynkHA11hULzao8AmpyehaQUnnPTpk2r+txE64UF5RJQONwJSLLCOcpU8vL5PIKhCBSbG16vF6q6+mMNWlpacPz4cUiygtGx9SkoT07P4kc/fwU5XcDm9gNCgp5LY2o2gDPnL+HhBw6u2ueKxxN4/8Q5yJodmmrBSkn5I8VlA8vvNGBAUgBNs0OzWJHL5eB0OvHNb34TFRUVqxbbnVIUBdXV1aiuvtb91NnZidHRUVy8eBHj4+OYm5tbubaWz2WQy2UwPDGLwZFxGIYBSQj4fVWor6tGfU01NjXWwXUfG7aD4QhS6TRsbjc2bdrEa4tERLShXFsGzpyDysP80q1IVVXXpJDZ2tpaGLWnWDAyNokjXXtX/XN8WDiygB/+9EXE4mlY3dWQZAX5XAaRaBDvnTiDZ5/+1Kp9rnw+jzffOwlIKqy2ijvOOQQAq8MKzWKDruvQNA1f/vKXTdlPIssyvF7vDX/+27dvx+HDh3Hu3DmMj49jZmYG+Xy+sAsml0E+l8HETBCjE9MwDB0A4K3yoL6mGvV11djUUIdKj/ueY8pkspidC0C1e+D3+2Gz8QY6lSYWlEuAz+cDUJj9FApHTY6G6P6EwtHC0rM1WMi3rKmpCYqiQFatGB6bXNOZZtGFRVy4dAVnz19C3pBhdfnQvGUL7HY7ei/1wDB0uFZxozQAdPf0QdcNWO0VqK6phcPhKBRel/7Rdf2Wv66trcWxY8egaRoURVmTgv79aGpqQlNTE4DC1bXJyUmMj49jYmICExMTSCaTha8ln4WeyyC4kMR8sB/nLlyGIst46lMPo2Pbvb2AMDm1NMtM5iwzIiLaeFwuFywWC9LMOagMpDMZRBYWodkrUV1dvSbjICorK1FVVYXZVAyTU7NIZzJrtlw6nkji0uV+nDp3EalMDla3H9U1tWhubsapU6dgGDrcq5xzXOkfRiyegL2iFlU+PyorK2+ZZ3z4vz0eD5544gl4PIXxEZqJS7dvpqamBk899RSAwuLx6enplZxjfHwcsVhsZQdMPpvBQjyN8FIXsxACDx/twqEDu+/pc0/PzkM3DM5PppLHgnIJcDgcsNlsyCQUBEJhDvynkjYXWLvlGMtUVUVTUxOuXF7E4mIAwXAEvqrVu/6l6zqGRsZxvqcPw2OTAADF4oDVXoHW1jZ89atfxZ/+6Z8il0kAAPqHRmAYOpo2NaCqsuK+/v7mcjl0X7wMxeqArKimdRivB4vFgq1bt67MSDMMA8Fg8IbD3vz8/EoXczoewSuvv4Mqjxs11b67/nxTM3OQZBVCkni4IyKiDUcIAZ/Ph1g0iMhCeE2LY0RrLRAs5M2SsnY5B1C4GRmYn0XaMDA+MY3WrU2r9tzL49jO91zG1YER6LoB2WKDzV2N2rp6PP/88/jxj3+MfDYNw9AxOT2LE6fPo3lzA6r93vvKOQzDwOnuHsiqFZKi4gtf+MJK00e5UVX1hhF9hmEgGo3ekHPMzMwUCua6jmxqAW+9fwpVlRX39Oc9NTPHJeBUFlhQLgFCCNTX12MxGkZscR4zcwHUrePAf6LVNDcfgiQpEJK0poe71tZWDAz0Q0BgdGxyVQrKsVgcF3qv4mLvFSwsxiErGjS7B4rFDllWsHfvXjz99NOQZRmZTAayYoVmq8DEdBCj41MAAJfTgaZN9WhqrEfTpvq7nq18+eoQEskU7J5adHZ2lm0x+WaWE12fz4d9+/YBAFKpFCYnJ3H69Gn09l5CMjqHn734Or75lWdgt1nv6vknp2YhqxYoioK6urq1+BKIiIiKWn19PcbHRgEAQ8Pj6GhvMTkionszNx8CsLZNLEAh5zh16hQkScHI+OSqFJRT6TR6+wbQ3dOHYCgCSVKgWN2wWuwQkoz29nY888wzsNvtSKfTkGQFmt2D+XAMsx+cwdvHT8NmtWJzYx2aNtWjeXMDKtyuu4phYmoWs/NBWF0+1NfXb6jCpxACHo8HHo8Hu3btAlDoYp6amkJPTw9OnjwJPZ/Di798C9/88jOoqry7fGxyqjA/WQjB+clU0lhQLhE7duzAwMAAhJDQ2zfAgjKVrLlAEJJSGLOw1t0CQkiQVA3Do5M4sHfnPT3P8mK/7p4+DA6NwTAAxWKHraIGsqLB4/HgwIED2LdvH5zXXTP7xje+gRMnTmBoaAjxeByGoSOfTSOVTaP36gh6LvcDAPzeqkKBeVM9GutrP3bJnGEYONN9CYpqhSSrOHLkyD19TeXEarWipaUFTU1NWFhYwLiuYyE6ixdeeRO/9vljd3y9MR5PIBxdgNXpRX19PRSFPx6JiGjj2blzJ06dOgVZ0dB7ZYAFZSpZ84HCEnAhBGpqatbs8zQ3N0OSJMiqFSOjk/f8PIZhYGYugPMX+9DXP4RsLgdFs8Hm9kNSLHA4HNi3bx8OHDiAqqqqlcd98YtfxHvvvYfBwUFEo9HC6IlcBvlsCgMjk7gyMAwAqKxwY/NSzrG5sR4268cvmTvT3QNJLowQPHLkyIa/Ib18A3bz5s2Ix+O41NOD5MIsfvria/jGlz53x7c5dF3H1MwsZMUOp9OJysrVXaJItJ6YMZeIzs5OvPDCC1AsDvT1D+Gxhw6vyRwoorUUjycwOTULxeqG2+2Gw3HvC9Rux+/3w+12I5NcwMTUDHK53F0VCRPJFHp6r+LCpSsIRxcgySpUuweKZocky9i2bRu6urrQ0tJy07+LjY2NaGxshGEYmJ2dxdDQEIaGhjA6OopsNgtdzyOfTSEcSyFw4XLhSpkkob6uGrXVPricDjgcdjiv+2dyehbzwRBsbj82bdqExsbG1fwtK2mKouArX/kKvve978HQcxgZn8S7H5y542WIE9NL85M5y4yIiDawzZs3o6KiAtlUDCNjk4gnknDYuTCKSks+n8fA8Bhk1QJJkta0oGyxWLBp0yYM9scQjgYRiS7AU3HnC9symSwuXx3E+Z4+zM4HIUkyFKsTdpcDkiSjqakJXV1d6OjouGku4/V68fnPfx6GYSAUCq3kHMPDw0ilUjB0HflsCrFUGhd7B3C+pw9CCNRW+1BfWw2X0wGnw76Sd7icDsTiCQwMj0Gze+B2u7Fjx47V/C0raUIIPPvsswgEApgx8giFZ/Hya+/g859+/I6K7oFgGOlMFjZ3IefY6IV6Km0sKJcIq9WK9vZ2XLzQjUR0FqPjU9jSxGISlZYLvVeh6wYUix179uxZ088lhEBLSwvCoQCSiSgmp2fRtKnhYx9jGAYmp2dxvqcPV/qHC3PKtMKcMknR4Ha7sX//fuzfv/+OR00IIVBbW4va2lo88MADyOVyGB8fXznsTU1NLc3jyiGfSWF6LoLJ6QAMPQ8DN25QliUJkqxCUiw4evToPf/elCu3240vfelL+Nu//Vvk7RU4ceYCaqp9aG/dctvHTk3PQZJkSLLCgjIREW1YQgjs2rUL74RDSMfDuDIwjP27O80Oi+iuXB0cRTyRhL2iFtu3b4fF8vHduPertbUVI8OFTuCRsUns3XX7gvJ8IITunj5cvjKAdCYLRbXC6vJBVq2w2WzYs2cPurq64Pff2c1kIQS8Xi+8Xi8OHjxY6ISdmlrJOcbHx5HP56Hnc8hnU5gPxzE7fwWGkYdhfDTnAAQUix2HDh2CLMt3/XtSzjRNw1e+8hX8z//5P6Hns7g6OIKTZy7gcNft89vJ6TkAbGKh8sCCcgnZvXs3Ll26BElW0HtlgAVlKim6ruPCpT4oFjskWcGBAwfW/HO2tLTg7NmzEJKM4dGJWxaUU+k0eq8M4vzFPgRC4aU5ZS5YLQ4IScbWrVvR1dWF9vb2+z5QKYqCLVu2YMuWLfjkJz+JZDKJ4eHhlcNeKFSY92YYBrC0bE7X84UCs5GHrGiorKzE9u3b7yuOctXc3Ixjx47hpZdegp7L4uXX3kZVpQd+78dfJ5ucLswyA8BZZkREtKHt3r0b7777LhTVistXBlhQppJzvucyZMUCSVFx8OCd3Va7Hy0tLXj99dchK5algnLHTT8um83h6uAwzl/sw+TMHIQkQ7U4YPf4IMkKGhoa0NXVhZ07d0JVbz0G705IkrRyY/Lhhx9GJpPB6OjoSs4xOzu78rGGrhcKy9flHaqkQNMs6Orquq84ypXX68UXv/hF/P3f/z00WxbvfHAGNdVeNG/++BrN5PQMZEWDEBJzDip5LCiXkNbWVthsNmSTDvQPjiKTyX7svFWiYjI0Mo6FxThsFTVoa2uDx+NZ88+5devWpZlmFoyMTX3k/TOz8zjf04fLV28+p2zv3r04cOAAvF7vmsVos9nQ2dmJzs5CshaNRhEOh7GwsIDFxcWP/GMYBj7zmc9w5M3HOHz4MKampnD+fPfSkr7X8Otf/QJU9cYfeYlkCvF4AhVuF2bnAlDtHvj9fthsvNpLREQbV3V1NWprazGRTmBqZh6hcPSul04RmWU+GMb45AysTi98Ph+am5vX/HPW1dXBbrcjk7BibGIK+Xz+hiaUUDiK8z196Lncj1Q6DVm1wur0QtZs0DQNu3fvxoEDB1BfX79mMWqahra2NrS1tQEAYrEYgsHgTfONhYUF5HI5PPLIIzwXf4xt27bh0UcfxRtvvIF8LoN/eflN/MbXvwCX88axjplMFsFwBLXVvpUmFlVd22WRROuBBeUSoigKduzYgVMnY0gkoxgem7ijq9xExaD7Yh9kRYOsaOvSKQAAdrsd9fX1GB2KYT4YQiwWh6Zp6OsfwvmePszMBQpzyizX5pRt3rwZXV1d6OzsNGUxW0VFxR2P06CbE0Lgc5/7HObm5jCl5xGOzODUuYt44NC+lY8ZHZ/Cz158DelMFnt3dUA3DAhJXtO53kRERKVi9+7dmJ6eghAC/YMjd3SVm6gYnO+5DCEkyJoNBw8eXJcZtcuj9roXwkhGo5iamUd9rR/9Q6M439OHsYlpCCFBsThg91RCklVUV1fj4MGD2LVrF6xW65rH+GFOp/OGheJ0bx555BFMT0+j73IvEpEZvHP8NJ5+4pGV988Hw/jxv7yChcU49uxoRyyWgGqrgN1uZ4MQlTwWlEtMa2srzpw5AyEkBIJhFpSpJIQjCxgem4DFUYXKykq0trau2+duaWnBxPgYAOAXr76JufngR+aUWa3WlTll1dXV6xYbrR1VVfFrv/Zr+O///b9Dtbpw6uwF7O7cBqfTgctXBvHSa28DsgbVasX5nj4AQD6TxNjYGOLxOAvLRES0obW2tuLVVwu7G+aDIbPDIbojmUwWvX0DUK1OaJq25jtbrtfS0oILFy5ACAlvvXcSC4sxxBNJyIoGi7MKimaHqqrYsWMHurq60NjYyIVsZWB5Sd//b2wMuUwFLvUVxgTV1vgxNjGNn734GjI5A5q9AucvXQEA5LJJRKNRTE1NoaHh43f8EBUzFpRLzPJQfklWEQxFzA2G6A4tdwooFhu6urrW9fDU2tqKt99+G7KiYWJqDqrVuTKnrL6+fmVOmaZp6xYTrQ+/34+uri6c+OADJCJxvHfiLPy+Krz+9gdQLHZYHFUAAMPII5dOIJdJIp/Po7e3d9266ImIiIpRVVUVhBCQZBWhcNTscIjuSO/Sgju7x7funb8tLS0QQkBWrZiZCxS6kStqISkqvF4vurq6sGfPHtjt9nWLidaHzWbDI488gpdeegnZVAxvvncSB/bsxL+8/CtAVmFz+wEhAMNAJrmAfDYNXc+jp6eHBWUqaSwol5jKykpIkgRJVni4o5KQzeZwsbcfisUBVdWwb9++2z9oFTU0NMBms0HPV0FICjRNw65du9DV1bWmc8qoODzyyCO4cOECchk3LvReBQCoFgc0RyUOHDiAXC6HCxcuIG9xIB0LI59N4b333mNBmYiINjRFUVBVVYXpxAJC4SgMw2A3JRU1wzDQfbEPimaDJCvrfpZzuVyoq6vDZD4HIVVClhVs374dXV1d2LJlC//+lLmDBw/i1KlTmM2mMD45g/HJmcJNWJcP27Ztg9/vx/HjxyFrNmTiYeTTCRw/fhxPPPEER19QyWJBucTIsgyv14upeBThSBS6rvMbEBW1KwNDSKXTsHsq0dnZue6vysuyjC984Qs4d+4ctmzZgt27d5syp4zM4XA48PDDD+OVV15BLpNCPpuCruchhEBbWxs6OjqwZ88evPDCCwgqFuj5LKJRJs5EREQ+nw+z0xNI5XJYWIyhwu0yOySiW5qamcN8MASry4fGxkbU1dWtewyf/exn8d5776G2thb79u2Dy8W/MxuFLMt44okn8IMf/ACqxYlsOgYjnwMAbNq0CQ8//DB27dqFX/ziF5iYUKHnMgCASCSCqqoqM0MnumcsKJcgn8+H6clx5PJ5RBdiqPS4zQ6J6JbO9/RBVq2QZNW0rs9t27Zh27ZtpnxuMt/hw4cxOjqKvr4+5DMJZFMx5DJJ/OM//iOeffZZ7N27F7/zO7+Dd955B2fPnkVHRweLyUREtOH5fD5IsgoACIWjLChTUeu+eBmSpEBWrablHA0NDfjyl79syucm87W3t+PQoUM4efIkZM2GbGoBuXQMv/rVr5BIJPDUU0/ht37rt3D69Gm8//77qKmpgcfjMTtsonvGgnIJKhzuCn90oXCEBWUqWjOz85iamYfV5UVtbS0aGxvNDok2IFmW8dWvfhXd3d148803EY1Gkc9lYOh5vPbaa9i7dy8URcFjjz2Gxx57zOxwiYiIioLf74eQZAgIBEMRbGniOY6KUzyRxJX+YShWF+x2O3bs2GF2SLQBCSHw9NNPo7W1Fa+99hrm5uag57PQ9TxOnDiBRx99FFarFYcOHcKhQ4fMDpfovrGgXIJWDneicLhr2bLZ7JCIbqr3yiCEJENWbTh48CC7Psk0Qgjs27cPe/bsQV9fH374wx8CKHQSEBER0Uf5fD4IISBkBaFwxOxwiG7pysAw8roOq8WBffv2QVFY5iDzbNu2DW1tbRgdHcVf//VfAwC2bNkCi8VibmBEq4zfaUvQ8uGOW5ep2C3EYpBkFUIItLa2mh0OESRJQmdnJ/7gD/7A7FCIiIiKms/nAwBIsoogcw4qYrFYHJKkQEgycw4qCkIINDc3M+egssZtbiVo+XAnZAXBcNjkaIhuLZvJrXQl8xVZIiIiotJhtVrhcrkgyQqCoYjZ4RDdUiabBZhzEBGtKxaUS5CmaaioqFjpUDYMw+yQiG4qe93hTlVVk6MhIiIioruxvJgvmUohkUyZHQ7RTWWz15pYNE0zORoioo2BBeUS5fP5IEkKUukMEomk2eEQ3VQ2l4OABEVRIMuy2eEQERER0V3w+/2Q5EJTAOcoU7HKZLKAKJQ2WFAmIlofLCiXKL/fD0kpHO4CvIJGRSqbzQFC8GBHREREVIJ8Ph+EXFi7w7EXVKzYoUxEtP5YUC5RPp8PQioc7riYj4pVJpuFEILjLoiIiIhK0MoycElhzkFF6/oZyiwoExGtDxaUS9TK4Y6L+aiIFWYoSzzYEREREZUgv98PAFzMR0Utm81CQIIsyxyzR0S0TlhQLlHXDncquwWoKBmGgWwuD8GRF0REREQlyel0wmKxQMgqZyhT0eKYPSKi9ceCcomy2+2w2WyQZF4/o+KUzeZgGAYLykREREQlSgixtJhPwUIsXijcERWZbC7HnIOIaJ2xoFyihBBLSzJULMbiSKXTZodEdINsNlv4BUdeEBEREZUsn88HSVZhGAaCIY7ao+LDMXtEROuPBeUSVldXB1kp/NCcnJo1ORqiG2WWOljYLUBERERUuurq6iAphQXLk9PMOai4GIaBTDbHReBEROuMBeUS1tzcDCEpEJKMiakZs8MhusG1DmUWlImIiIhKVVNTE4SQICsWjDPnoCKTy+U5Zo+IyAQsKJewwuFOFA53kzzcUXHJ5pY6lMHrZ0RERESlqqamBjabDbJqwcTkLAzDMDskohUZNrEQEZmCBeUS5nA44Pf7IasWzM4FkM5kzA6JaAU7lImIiIhKnxACTU1NkFULkqkUAkHOUabisZxzCM5QJiJaVywol7jm5mbIqgW6YWBqes7scIhWcIYyERERUXloamqCtLS7hWMvqJhkl3IOgDkHEdF6YkG5xK3MURYSxienzQ6HaMW1DmWJCzKIiIiISlhzc/PSHGUN4xPMOah4ZNihTERkChaUS9zKHGXVyoIyFZVMJrfyax7uiIiIiEpXTU0NrFYrZNWKiakZzlGmosExe0RE5mBBucQ5nU74fD7IqgUzswFkMlmzQyICUDjcCSE48oKIiIioxEmStDT2woJEMoVgOGJ2SEQAOGaPiMgsLCiXgebmZsjK0hzlmVmzwyECsHT9TBS+xfBwR0RERFTaCov5luYoT3COMhWH3PIMZY68ICJaVywol4Hm5mYIeXmOMg93VByy2RyEEABYUCYiIiIqdTfMUeaoPSoSyzOUAeYcRETriQXlMnBtjrKFSzKoaBRGXrBDmYiIiKgc1NbWwmKxFHKOyWnOUaaisNzEIoTgInAionXEgnIZcLlcqKyshKRomA+GeLijopDN5QCwQ5mIiIioHEiShMbGRkiKhkQyhUQiaXZIRByzR0RkEhaUy4TX64UkK8hkc4jHE2aHQ8SRF0RERERlxufzQZIKXaChyILJ0RAt3YpkEwsR0bpjQblMeL1eHu6oqLBbgIiIiKi8eL1eCFkBAIQjUZOjIQIy2RzAJhYionXHgnKZuP5wF4myoEzmK8xQLhzuOM+MiIiIqPRVVVVBCAFJkplzUFHg3hYiInOwoFwmrj/csVuAikEmU+gWUFV1pbBMRERERKXL6/UCAISsIMScg4pAlh3KRESmYEG5TFw73KkIc+QFFYHlDmUe7IiIiIjKQ0VFBWRZhiSpCIeZc5D5MtfdimTeQUS0flhQLhMrhztZYUGZikJhnpnEgx0RERFRmZAkCZWVlZBkBZHoAgzDMDsk2uCuH3nBMXtEROuHBeUysXK4k3i4o+KwvHGZBWUiIiKi8rG8uyWXz2MxFjc7HNrgrh+zJ0ksbxARrRd+xy0jPNxRsdB1Hbl8HuDICyIiIqKyUlVVBWlpGThvRpLZcrkcx+wREZmABeUy4vV6rzvccUkGmSebywEABEdeEBEREZUVr9cLITHnoOKQyWYBSBx3QUS0zlhQLiNVVVUrh7sQl2SQibKZbOEX7BYgIiIiKiterxdCCEgSd7eQ+bJZdigTEZmBBeUycv3hLhLl4Y7Mk8myQ5mIiIioHFVVVQEAhMycg8yl63rhZiQLykRE644F5TJy/eGO18/ITNksO5SJiIiIypHb7YaiKJBkBSHmHGQijtkjIjIPC8plxO12F7bb8nBHJrvWocyCMhEREVE5EUKs7G6JRheh67rZIdEGxTF7RETmYUG5jAghlrYuqzzckalWOpQhuCCDiIiIqMwUdreoyOs6FhZjZodDGxSbWIiIzMOCcplZXsynGwaiCzzckTkySwVlXj8jIiIiKj/LHcoAuJiPTHNtzB5zDiKi9caCcpm5/nDHJRlkluxStwCvnxERERGVn0ITiwwACDPnIJOwQ5mIyDwsKJcZr9d77XDHOcpkkmw2CwHBwx0RERFRGfJ6vRBCQJIVhMPMOcgc14/ZY85BRLS+WFAuM1VVVSuHOy7mI7NkszlACADg4Y6IiIiozHi9XgCAJCkceUGmyebYoUxEZBYWlMvMyuFOVhGJLJocDW1U2WwOggVlIiIiorLkcDigaRqErHLMHpnm+hnKXARORLS+WFAuMyuHO0nhyAsyTSabBUTh28s//uM/YmxszOSIiIiIiGi1CCFWdrdEFxaRz+fNDok2oOtnKL/wwgvo6+szOSIioo2DBeUyc8PhbjHGwx2ZwmazwtBzSMfCSMQX8Nd//dd47733YBiG2aERERER0SpYzjl0w0AkypuRtP5sVisAIBULIpdJ4gc/+AFeeukl5sBEROuABeUytHy4M3i4I5Mc2LMDB/fthF0DktE5pOIRvPrqq/jpT3/KojIRERFRGaiqqoKQFADg2AsyRXtrMx4+2oUKh4bUYgDpWBgffPAB/vZv/5ZFZSKiNcaCchm6/nDHsRdkBk1T8ciDh/D/+NaXcPTgXmQSUaRjIZw/fx7T09Nmh0dERERE98nr9UJIMgQEF/ORKSRJwuGuPfj217+IY489CD2bQGphDiMjI7h8+bLZ4RERlTUWlMvQ9Yc7diiTmSRJwieOHMAjDxxELpOAoeu4ePHiDR0DhmEglUqxc5mIiIiohFRVVUEIASErCLNDmUwkhMCendvx2aceQz6XgZHPobe3F5lM5oaPS6fT0HXdpCiJiMqLYnYAtPrm5uYKv5AkpNJpc4MhAtC6tQlvvX8K+WwKx48fR3d3N9rb29HZ2Ymenh5cuHABdrsdmzZtwubNm7F582bU1dVBUfgtioiIiKgYzc3NwTAMCCGQZs5BRWDL5kYosoxcJoFLly6hv78fbW1t2LFjB2ZmZvDOO+/AYrGgsbFxJedoaGiApmlmh05EVHJYrSkzV65cwXvvvYdMIgph6Gjb2mR2SESo9LixqaEW45MzkJILyCRsOHtmAd3d3TAMA5lEFJlEFIvREPr6LkMICYqioKGhATt37sSePXt40CMiIiIqEjMzM3jppZeQS8eRz2WwrXWL2SERQVUVdLa34ELvVeTSCWQ0Gy5eiOPSpUsQQiCTXEQmEcGVxQgG+q9CSDIkSUJtbS06Ozuxf/9+2O12s78MIqKSIAzeMy8b4XAY3/ve9xCLhpCKBfHYJw6ja99Os8MiAgDk83kMjozj6sAwBofHkMnmIMkqJEVFLp244WNlRYOkaJBVK2TVCpvNhv379+PQoUPweDzmfAFEREREhFQqhe9973sIzM8iGZ3F3l0deOLRB8wOiwhAYZze2MQUrvQP4+rgKJKpFCRJhqxakU3Hb/hYSVYgKxbIqgWyZoOqati9ezcOHz6Mmpoak74CIqLSwIJyGfnzP/9zjI0OIxmdRdvWJnz+049DCGF2WEQfkcvlMDI2iSsDw5iemUdHewseOLQPwXAEk1OzmJyexeTULCILi5AkGYrVCdXigCQr2L59Ow4fPoympib+/01ERES0zn784x/jfPc5JKOzqPFX4atffJpjyqgo6bqO8ckZXBkYxvjkNBrravDEYw9iYTFWyDem5zA5NYtAKAwhJKhWBxSLE5KsYMuWLTh8+DC2bdsGSeLqKSKiD2NBuUzEYjH80R/9EVKLATitCr71tWdh4YgAKnGzcwGcvdCLy1cGoesGFIsdqtUFSVFRW1uLw4cPY9euXUxiiIiIiNbJH/7hH2IxPAdJT+HXv/YFVLhdZodEdF/CkQWcu9CLnstXkc5koWh2qFYnJEVDVVUVDh06hH379sFqtZodKhFR0WBBuUwsLCzgv/7X/4rkwjxaNtfimac/aXZIRKsmnkjifE8fui9eRjyRhKxaoFpdkFUrHA4Hurq6cPDgQbhcTGiIiIiI1tJ/+S//BbHIHDwODb/x9S+YHQ7RqklnMrh0uR9nL/QiHFmArGhQrE4omh0WiwV79+7FoUOH4PP5zA6ViMh0bOsrE9df/TfA1wiovDjsNjxwaB8OH9iNqwMjOHP+EqZn5yFJCnIpJ9568028++672LFjBw4fPozGxkazQyYiIiIqS8t5B/uSqNxYNA379+zAvt2dGB6dwJnuSxgZn0RGRJC1OvHBB8dx8uRJtLW14fDhw2hpaeEIPiLasFhQLhPLP8gEANaTqVzJsoyO9hZ0tLdgamYOZ89fwpX+YWSSUSgWB853n8XFixfR0NCAI0eOoLOzE7Ismx02ERERUdlYKSgz6aAyJYTA1uZN2Nq8CYFQGGfP96K3bwCJ5AIUix19lzPo7++Hz+fD4cOHsWfPHmgcN0lEGwwLymXihg5ldgvQBlBfW4362mo88uAhnL/Yh+6ePiQiM1BUK0YzKUxMTMDtdqOrqwtdXV1wOBxmh0xERERU8gp5h2DOQRuCr6oSxx57EA8d7UJP71Wcu9CLaHQWsqJhJp3AL34xj9dffx379u3DoUOHUFlZaXbIRETrggXlMrFSUBY83NHG4nI68ImjB3Dk4B5cvjqEs+cvYS4wD0lWkEvH8atfvY533nkHO3fuxJEjR1BbW2t2yEREREQliyMvaCOyWS04uH8XDuzdgYHhMZw9fwnjkzMQkoxsyon333sXH3zwAdrb23HkyBE0NTVxHAYRlTUWlMsEO5Rpo1MUBbs6t2FnRxvGJ2dw9sIlDAyNIZOIQLE4cfbMaXR3d6OpqQmHDx/G9u3bIUmS2WETERERlZSVvIMpB21AkiRhW0sztrU0Y24+iLPne3H56iASicI4jN6ei+jr60NNTQ0OHz6MXbt2QVVVs8MmIlp1LCiXiRsLyiYGQmQyIQQ2N9Zhc2MdoguLOHehFxd7ryIRWYSi2TA0kMbIyAg8Hg8OHTqE/fv3w2azmR02ERERUUkQQkAINrEQVfu9eOpTD+GhB7pw4dIVdF+8jFh0BrJqwWQmiZ/NzOC1117DgQMHcPDgQbjdbrNDJiJaNSwolwl2KBN9VIXbhUc/cRgPHNqPS30DOHvhEkLhOUiyilw6jldffRVvvvkm9uzZg8OHD8Pv95sdMhEREVFR48gLohs57DYcPbgXh/bvwtWBEZy9cAlTM/OQJAXZlBNvv/UW3nvvPXR2duLw4cNobGzkOAwiKnksKJeJaz+QBDcuE32IpqnYt7sDe3dtx+j4JM50X8LQ6AQyiSiyVidOnjyB06dP44EHHsCxY8fMDpeIiIioaK0s5YNudihERUWWZXS0t6CjvQVTM3M4e/4SrvQPI5uMQrE4cOH8OfT09KCzsxPPPfccx+8RUUljQblMsEOZ6PaEEGje3IjmzY0IhaM4d6EXPZevIhFegGp14f3330d7ezs2b96MyclJaJqG6upqs8MmIiIiKhrXOpRNDoSoiNXXVqO+thqPPngI3T19ON/Th0RkBopmw6VLl9DW1oZ9+/ZhdnYW2WwWDQ0N7FomopLCgnKZYEGZ6O5UVVbgk48cxYNH9uPE6fM4efYiFIsdr732Gnw+H86dOwcAaGxsxMGDB7Fjxw4oCr9lEhER0cbGkRdEd87pdOATRw7gSNceXOi9itffOg4lk8Sbb76JcDiMt99+GwDg8/lw8OBB7NmzB1ar1eSoiYhuj9WRMrFSUBbsFiC6G1aLBQ8d7cLgyDgii1GMj49jbGwM6XgI0HWMDCUxPj6OV155Bfv27UNXVxcqKyvNDpuIiIjIFCwoE909RVGwf3cnhkfGMTI+g0jEhrfeegvZZBT5bAYz6QRenJ/Ha6+9ht27d+PgwYOora01O2wioltiQblMsEOZ6N5JkoRPHDmAn734OnLpOLKpGISRR6WnAvPBwNJCDQfefedtvP/++2htbcXBgwfR2trK2WdERES0oazMUGbOQXTXHn7gIIZ/8FNkU4vQcxnksynU+L2YmQtACAlZqxOnTp7AmTNnsHnzZhw8eBAdHR28KUlERYfflcrEckFZsEWZ6J60bW1CY30tJqZm4HTY8exnnkJttQ9TM3Povni5sFAjsQDFYkff5TT6+/vh8Xhw6NAhHDx4EKqqmv0lEBEREa05IUThViR38hHdNb+vCju3t+Hi5avQVAWf/8yn0LJlM+aDYXRfvIzevn4kkgtQNBuGB1MYHR2F0+nE/v378cADD8Bms5n9JRARAQCEwZeWy8Yf/MEfIB0LwV9pxze+9HmzwyEqOal0GmMT09jUUAeb1XLD++KJJC72XsH5nj4sLMYhKxoUixOKxQ6Px4MnnngCO3bs4DINIiIiKmv/7b/9N0xPDEPKp/B7v/1Ns8MhKjn5fB6DI+OorfbB7XLe8L50JoPevkF0X7yMQCgMSVagWpxQLA7YHQ489thjOHDgAGRZNil6IqICFpTLyH/6T/8JqcUgfB47vvllFpSJ1oKu6xgaGUf3xT4Mj01AkhRojgrIqg1NTU146qmnUF9fb3aYa8YwDBiGwVEfREREG9Sf/umfYmp8CFI+id/77efNDoeoLBmGgYmpWXRfvIyrA8MwIKDZK6BYHKiursaTTz6J1tZWs8NcM4ZhQNd1Fs6JihhHXpQRLsggWnuSJKF1axNatzZhPhjGm++cwMj4JGTVguGhLL7//e9j7969+OQnPwmXy2V2uKsiFothcHAQAwMDGBwcRDKZhNfrRU1NDWpqalBdXY2amhp4PB52aBMREZU55hxEa08IgU0NtdjUUIuFxYN45/hp9F4ZRDYVw0wujb/7u79DW1sbnnzySfh8PrPDXRWpVApDQ0MYGBjAwMAAFhYWUFlZ+ZGco6qqis0tREWABeUywgUZROvL763Ec888iaGRcbzx7gmEI7NQLQ6cO3sGvb29eOihh3DkyJGSm6+cz+cxPj6+cpibmZkpdAnkM8hnUjD0PKYTC5idnoAkqxBSoXPAYrGsHPSW/11TUwOr1WryV0RERESrhTkH0fpyu5z4zLFHsW93J9545wNMzcxD0Wy40pfD4OAgDh06hEceeaTk5isbhoHp6emVnGNiYgL5fB5GPodcNgkjn8NscgHzs1PoVTQIIUEIAUVRUF1dfUO+UVNTA4fDYfaXRLShsKBcRlYWZPBwR7RuhBBo2bIZzZsb0H3xMt4/eQ6JyDSyNjdee+01nDlzBk888QQ6OzuLuns3EomsHOaGh4eRTqeh63nksynkMynksykYhg6LpqLC5UIoHEFeL2zjEZIMSVaRllXEFkIYGR4sFJqXvt6KioqPFJm9Xi+vsBEREZUgIQQEAJ0pB9G6qq+txtef+xwuXxnE28dPYzEyDc3mwvH338eFCxdW5isXc/fuh28+JhIJGLpeyDmyKeSyheYVRZZRVVmBcGQBqVwOACCEBElRIckqRmMRjI8NL+Ucha/X6XR+pMjs9/uhKCx7Ea0F/s0qI9eun5kcCNEGJMsyDuzdiY72Vrx34izO9/Qhl4ojn03hhz/8IZqbm/HUU0+hrq7O7FABANlsFqOjoytF5EAgUOhCzmWQzyaRy6Sg57MAgBq/F1ua2tC8uRH1tX7Isox8Po9wdAHzgTACwRACwTDmAyFEF0Mrn0OSCwe+THIBwfkZ9C11MwshIMsy/H7/Rw59TqezqAvvREREGx1HXhCZRwiBzu2taN3ahFPnLuLU2YtIpOLIZSrwi1/8AqdOncKTTz6JlpYWs0MFULj5ODExsZJzTE9PL918zC41rSSRz2UAAFWVFdiyeTu2NDWisb4WqqrAMAxEoouYvy7fmA+GEIlGVr4HSZICSVGRSUQRCc5hoP8KhKQUXvwS4oZRfcv/VFRUMOcguk9cyldG/vAP/xCL4VlU2FV8+xtfNDscog3tw/OV///t3Xd4W+d5Pv77YE8CBLjFTVGUJVmWLcmWJduS97ZlO7ZjJ82unSZtVptVJ2n6a/pN06y2aZM4aZM4ceIMb0uWtae1rL0oUhT33gMbZ/z+AAmRBiGREolDAvfnunhRPDjn4IEkku/74H2fx2hJh1ZviNZXttlsl77JFFIUBT09PdHBXH19PURRhCyJ0RUBkVXICswmE0qK5qCkMB9FBXmwWi0Tfp5AMDg82OtDd29k0Nfd04tgKJKcFgQBGq0hurpg5EMYXklhsVjGXVlgMBim5e+FiIiIJuf5559HY101RP8gvvTZj6sdDlFKGxzyYNfe91BZXQuNVg+jNR1avREVFRW466674Ha7Ex5Tf39/dBVybW0tgsEgFFmCOM7Ox8L8PBQXzkFJUT4caRPvPxMOi+ju7RuTZO7q7oM/EAAwMucYNd/Q6eOW6hu9k5Kl+ogmjgnlJPLd734Xg70dSLNo8YkPPaZ2OEQpT1EUnK9rxI53D6KvfxB6ow0GSxqMJjNuueUWrFixYlq3YAWDQdTW1kYHdP39/VAUGVI4GE0gy5IIQRCQl5OFkqJ8lBTOQXZWxpS+Y68oCgaHPJHkcm8k2dzV04u+vgHI71tZMHrQN3plweiGHCODvvT09Bm9pY+IiCgZ/eIXv0BDbTXCvn78/d9+Qu1wiAhAS1sHtu8+gLaOSH1lg8UJvcEYra88nYnScDiMxsbG6MKVrq6uUTsfhxeuDK9Cjux8zB+z83GqKIoCn88fTS5HPveipze2VN/oJPN4pfpGJ5lZqo9ofEwoJ5F/+7d/w0BPO+xmDT754Q+oHQ4RDZMkCUdPVGLfe0cRDIVhMDugM9lgMBiiDSVGf1xu2QdFUdDe3h4dzDU1NUUaW8gipFCkJpkcDkKBArvNipLCOSguykdhfh7MJuM0vPKLE0URPb390ZXMIwM/r88PABAgRBLLWh00WgO071tZoNfrx11ZYLFMfEU1ERERTc4vf/lL1J+vQsjXj39gQploxlAUBWeqarBr7yF4vX7ozTboTWnQ6fXRUnOjPy637MNkdz4WF+ZFksgFcya183GqvL9UX2QHZR8GhjzRc8ZNMr+vVN/7e8KwVB+lOtZQTiKsZ0Y0M2m1Wiy7dhGuqijD3oNHcfzUWYQDHoQMZviG+tDYUDumoYTZbI4Z8GVmZo6bKPX5fGMaW3g8nkhjC/HCljJZlqDVaJA/JwclhfkoLspHhsup+gBIp9MhOysD2VkZY457fX5094wM+CJJ5p7efvh9YxtyBLUG+Ib60dhQN2ZlgcvlwmOPPYY5c+Yk/DURERElO845iGYmQRCwcH45ykuLcfDIiWh9ZZ3RgibvAFqaGsaUmhu9uGV0wnm8RGkwGERdXV00iRzZ+aiM2vnov7DzMTsTxUVXoaQoH9mZbtV3FGq1WmS40pHhSgdQGj0+ulTfSI3m7p5eBHyxpfqif3+6sU0AH3jgAcyfP1+Nl0WkOiaUk0hkazgAju2IZiSrxYw716zEkkXzceDwcbR3dKN/8H0NJbQ6hHx6DPV3o/b8uTGJ0pHOxVlZWdDr9aitrUVraytkWY40thipSyYGAQDpjjQUV8xDSWE+CubkwmDQq/baJ8NqMcNqMaOoIC96TJblaEOOkVUF3T196BsY3QRQB41Wjy4xhB07duBDH/qQGuETEREltdGJJkVRVH+DmojGMhj0uGnFUixeWIH97x1Dc1sH+vr6o6XmRso+BLV6eAf70FBfC41WN+7iFqvVivr6ejQ2Nsbd+WizWlBSUoriojkoKpijys7Hy2EyGpGfl4P8vJzosdGl+rqG5xuRUn39MaX6pHAAmzdvZkKZUhYTykmEqwWIZofMDBceuPtWAEAoFEZvX3+0qUR3T+TPQ57YROmFzsWRd8alcBBi2A8pFGlsYdDrUFKQh6LCSEO9dGeaWi9xymk0GrjSHXClO1AxtyR6PBQKj2r+14czVTUQgz7U1dUhHA5Dr58dSXQiIqLZggllotkhzW7DXbfdBCBSaq6vfzAy34jOO/rQPzhqzjGcKI0sbulB3fkaCBoNJDE0auejGN35WFwQaaaX4U5Pmp8DgiDAkWaHI82OuaVF0ePvL9VXVVMHn38IPT096OnpUaX5IZHamFBOIpEf4gJkRVI7FCKaIINBj5zsTORkZ4457g8E0TMy2BuVbPZ7Bsecl+l2oaSoDMWF+ZiTmzWtTf5mIoNBj7ycLOTlZAGI1Eg7WXkeoiiirq4O8+bNUzlCIiKi5DIy5wC4kIVottDpdMjMcCEzwzXmeCgURk9ffzTBPDL38LxvzuFMs6OkonzW7XycKu8v1Wcxm7Fr7yEoioJz584xoUwpKbUyD0nuwgpllQMhoitmNo2/Bcvn86O7tw/+QBBzcrNht1lVjHLmKSkqwPHTVZClMM6dO8eEMhER0RQTBGEkn8yEMtEsZzDokZudidxxFrd09/TB4/UhJysjqXY+ToWS4gLs3PsepHAA1dXVWLFihdohESUcE8pJZKTYPQd2RMlJEARYrRZVuiPPFkUFedBqNJBCkcHdfffdlzRb8IiIiGYCQRBG8slcyEKUpMwmIwrm5Fz6xBSV4XLCYbfBFw6goaEBwWAQRuPsqB1NNFXUbbdJU2pk+xkTykSUqgwGPQrm5EIMBzAwMICuri61QyIiIkoqLHlBRKlOEASUFBdEGhQOl9ojSjVMKCeRke1nHNgRUSorLc6HFI40KqyurlY7HCIioqQypikfOO8gotRUVlwAWRahSCLnHJSSmFBOIqyhTEQElBYXAgCkcADnzp1TORoiIqLkMiahzIkHEaWogjm50Gm1EMN+nDt3jj8PKeUwoZxELiSU+YOMiFJXujMN6c40SKEAmpqa4Pf71Q6JiIgoaYxNKKsYCBGRivR6HQrzcyGFAxgaGkJ7e7vaIRElFBPKSeTC4I4jOyJKbaVFBRDDAUiShPPnz6sdDhERUdIYKbMHcCELEaW20uJCSOEgFFnmzkhKOUwoJxE25SMiiigrKYAiS5ClMPbt2wdJktQOiYiIKCmwKR8RUURpcT6ASKm9w4cPw+fzqRwRUeIwoZxEBEGAAA7siIjy83KQ7khDyNuH5uZmbNq0Se2QiIiIksLokheseUFEqcyRZkdRQR6Cvn709/XitddeYz6GUgYTykmETfmIiCK0Wi0euHsNIIsI+fpx4MABDAwMqB0WERHRrMemfEREF9x7xy0wGfQIeHpx7tw5NDQ0qB0SUUIwoZxERuqZcWBHRATkZGfC6UwDFAWCIMBgMKgdEhER0aw3JqGsYhxERDOB3WbFnNys6Mo+o9GockREicGEchJhDWUiogsGhzzo6e2HVm9Cfn4+zGaz2iERERHNeqyhTER0gSRJaGxuhdZggtVqRU5OjtohESUEE8pJ5ELJCw7siIjqG1sAAFq9EWVlZSpHQ0RElBwEQcDIImXOO4go1bW0dSIUFqHVm1BWVja2zjxREmNCOYlEE8oqx0FENBPUNTRDqzNA0Ggxd+5ctcMhIiJKCqyhTER0QUNTCwRBA41WzzkHpRQmlJMIVygTEUXIshzZeqY3wWw2Iy8vT+2QiIiIksLYhLKKgRARzQB1Dc3Q6k0QBIG7IimlMKGcRLhagIgooq2jC4FgCFq9CaWlpdBo+OuOiIhoKrCGMhFRhNfrQ0dXD7QGE3Jzc2G1WtUOiShhdGoHQFPn/YM71u4holRV19Ac2XqmM8y6rWderxfnz59HTU0NGhsbIcsy9Ho99Ho9DAbDuH8e+dpoNKKiogIOh0Ptl0FEREmKi1iIiCIamloBAFq9adbNOYLBIGpra1FTU4O6ujqEw+G4c4z3/9lgMKCsrAyZmZlqvwxSERPKSUQQhJF8Mgd3RJTS6htboNUbZ8XWM1mW0dzcjJqaGtTU1KCtrQ2yLEOWwpDCgch+YkGIvmkoCJoLXwsCBIz9es+ePfjMZz4Dk8mk9ksjIqIkNCahzO4tRJTC6hqbodHqodFoZ/ycQ1EUtLe3R+ccTU1NkCQJiixCCgWgKPLw3GJ4jjF6zhE9JgCCBoIgwGg04dOf/jRcLpfaL41UwoRyEuFqASIiwOcPoL2zGwaLE1lZWUhLS1M7pBiDg4PRwVxtbS0CgQAUWYIUDkAMB6KDOoNeB6PRiHA4jHBYhCTLF72voNECCrBx40Y8/PDDCXo1RESUSlhDmYgoknOpb2yBzmCC0WhEQUGB2iHF8Pl80Z2P58+fh8fjgSLLkMTIfEMKByDLErQaDSwWM8JhEaIoQpSki95XgADFmY033ngDH/vYx7g7PkUxoZxEBEEYWaDMwR0RpayGplYoijKjtp6JoojGxsZoErmzsxOKokAWQ5DCkcGcJIYAAFkZLpQUzUVxYT7m5GZBq9VG7yNJEsKiCDEsIixKkUSzGBn4BYIhbNy6GyFfP44ePYoFCxagvLxcrZdMRERJavSuSE46iChVdXb1wOcPwJxmR0lJyZgxu1pkWUZLS0t0ztHa2jpm56MUCkASgwCAdGcaSioqUFKUj/y8HBgM+jH3uTDnEBEe/TkcxvbdBzDk6UN9fT0OHjyIG264Qa2XTCpiQjmJsEEGERHQ0NgS2Xqm1amSUA6FQujq6kJnZyc6OzvR0dGBpqYmhMNhyLIEKeQfTiIHoSgyTEYjSkvyUVI0B8UFc2CzxW/modVqI4NVo3Hcx4PBEDZu2wOtwYx169bhc5/73IwY3BIRUfLgnIOIKFLuQhAEaHRGVcpdiKKInp4edHR0ROcdTU1N8Pv9wzsfgxDD/sicQ5ag1+lQUpCH4sJ8FBfOQboz/i5OjUYDo8EAo8Ew7uMGgwF/eu1tiEEPtmzZgoULF8Jms03XS6UZignlJMJ6ZkSU6hRFQV1jM7R6E/R6PQoLC6ftuSRJQk9PT3QAN5I87u/vh6IokQ9ZHF4REFmJLEthCIKA3OwMFBfOR0lRPnKyMqDRaKYkpqsXzENl9Xm0tPdgYMCMrq4u5OTkTMm9iYiIAJbZIyICgLqGFmh1kZ4t07mIRZZl9PX1jZlzdHZ2oqenB7IsD885JMhS+MLux+Gdj5luF0qKyqI7H3W6qUkBFubnYvGCeThZWQOd0YaGhgYsXLhwSu5NswcTykmEgzsiSnXdPX3weH0w2TNRXFw8ZYOmkUHc6BUAPT09kUYWowdxwx+KJEIWw9E396wWM0rmFaO4MB9FBXmwmKenYZ4gCCgumIOmlnYoioLu7m4mlImIaEpxzkFEqS4YCqG1rQN6ixNutxvp6elTct+hoaHofGPkc1dXF0RRBIBRiePw2LnH8M9ik9GA4qI8lBTlo6QoH/aL7Hy8UsVF+ThxphpQZPT09Ezb89DMxYRyEmGDDCJKdfWNLRAgQKufmq1nbW1teOedd9DQ0ABgZBAnRlcAvH8Qp9fpkOlOR4YrHRnudGS4nchwpcNqtSSsWUV6uiMSDwd3REQ0DcbuiiQiSj2NTW2Qh3u2TMWco6+vD5s2bUJlZSUAQBmuezzmQwxDUSINurUaDdwuJzLcOaPmHelIs9sSNudwOR0AAFkSOedIUUwoJ5HRDTK4WoCIUlFdYzM0+ivfeubz+bBt2zYcPnwYUjiEkH8AkhiCIkc6HmsEAa50JzLc2cjMuJBAdqTZVe9ynM7BHRERTaNII3DWUCai1FXX2AyNRnfFPVtCoRD27NmDvXv3IhQMIOQfgBwOQh6ecwiCAKfDHk0cZ2a4kOFKR7ozbcpK5l0upyNSg1mWwpxzpCgmlJMIG2QQUSoLhcJobmmHzpQGpzOy/WyyJEnCoUOHsH37dvh9XoT8gwgHPEh3pGF+eQXcw+/+u5xpM7bZXbojktTm4I6IiKYDS14QUSpTFAUNjS3QGkzQarUoLi6+rHucOnUKmzdvxsBAP8L+IYT9Q7BYTFiw4Kpo4tiV7oRePzPTdnq9Dml2KwKiiO7ubiiKovrCGkqsmfk/ky7LmG9eDu6IKMU0t7ZDkmUYDZGtZ5Md0NTW1mLDhg3o7OyEGPQi5BuAXqfB6pXLsXTJwhmbQH4/nU6HNJsVvnBkhTIHd0RENJW4K5KIUllf/yD6B4dgsmegsLAQBoNhUte3tbVhw4YNaGhogBTyI+TrhwAFy69bhBXLl8A4yfupyeV0ormjF4FAAD6fD1br9NVsppmHCeUkwtUCRJTK6hqaodFoIWgmt/VsdM0yKRxE0NsHWQpj0VXluHnFUtimsZnFdHGlO+Ft70EgEIDX64XNZlM7JCIiShLs20JEqay+sRkAoNUbJzXn8Hq92LZtG44cOQIpHELQ1wcpHERpUT5uvXkFXOmO6Qp52qSnp6GxtRMA0NPTw4RyimFCOYmwQQYRpbK6xmZo9ZGtZyUlJZc8P6ZmmW8AYsiH3OxM3HbLCuTlZCUg6umR7kxDQ0s7gMjgjgllIiKaKlzEQkSprL6xBVq9EYKgmVBDvrgl9ZxpuO3m1SgtLkhA1NPD5XRAkUQoioKenh4UFhaqHRIlEBPKSYQ1lIkoVfUPDKKvfxAmmxv5+fkwmUxxz71YzbI7b7kZC+eXz/oSEenpDsijBndFRUVqh0REREmCcw4iSlWiKKKxuQ1agxU2mw3Z2dkXPX+8knoGvRZrVl2P665ZMGtK6sWT7nRAgQJFlti7JQUxoZxEBEGAwHpmRJSC6htbAABavemiW8+SqWbZxbicka7LiixycEdERFNq7JuunHMQUepoaetAWBRhtkbmHPEWofT19WHjxo04e/ZsTEm9W25cBqvVkuDIp0f68JxDlsLo7u5WORpKNCaUkwi3nxFRqqpvbIFWZ4Cg0YybUE7GmmUXk+6MvB5ZYkKZiIimFuccRJSq6htbIAgaaLT6cctdJHNJvfGk2W3QabVQOOdISUwoJxE2yCCiVCRJEhqbW6HVW2CxWJCbmzvmsXg1y2696RaUlSRnna/RgzuuFiAioqnEOQcRpaq6hhZoDSZoNGPrJ6dCSb3xaDQaOB1pGPCF0dvbC1mWodFo1A6LEoQJ5STCemZElIpa27sQDIVhdphQVlYWHayNV7NMr9Ng9crlWLpk4ayvWXYxgiAg3elAvyeEvr4+Du6IiGjKCIKAkTp7nHMQUarweLzo6umFyeZCXl4eLJZI2YpUKakXT3p6GvqGOiBJEgYGBpCenq52SJQgTCgnEW4/I6JUVN/YHN16Nnfu3IvWLLt5xVLYbFa1Q06IdGcaegfbIEkS+vv74XK51A6JiIiSAOccRJSK6psu9GwpKytLuZJ68bicDpyvawYA9PT0MKGcQphQTiJjBndskEFEKaK+sQVavQmCIKChoQFvvfVWStQsuxRXugM1dU0AIoM7JpSJiGgqCIKAkVkHE8pElCrqGkZ6tmjR09ODn/zkJzEl9W67eTVKiwvUDjWh0p0OyLIERZHR3d190QbplFyYUE4irGdGRKnG6/OjvbMbRmskWXr48KGUqVl2KenOtMjgTpbR0tKC8vJytUMiIqIkwDkHEaUaWZbR0NQKrd4EADh16lS0pJ5Br8WaVdfjumsWJHVJvXhGVmLLkojW1laVo6FEYkI5iUTqmQ1/wdEdEaWAhsbhrWcGE8SgL+Vqll1MYX4eBEGAGPLj5MmTWL16dUom1omIaGpxVyQRpZqOrh74AwGY09JiSurdcuMyWK0WtUNUTXamGyajAVLIj7NnzyIUCsGQwnOwVMKEchJhUz4iSjWBUAgCBASHeiCJqVez7GLS7DYUzMlBS3svenp60NzcjIKC1NqCR0REU49zDiJKNYFAEAAQ8g9CCgdStqTeeHQ6HSrKS3HyzDkEg2morKzENddco3ZYlABMKCcRNsggolSzaH45Ojt7MDA0hOXXXp1yNcsuZeH8uWhs3g1ZEnH8+HEmlImI6IpxzkFEqaaoIA/XX3c1Wto6sXjh8pQtqRfPwvlzcfzUWchiEMeOHWNCOUUwoZxEOLgjolRjMOhxzx03qx3GjDWvrARbduyDGPTh1KlTuOeee6DT8Vc/ERFdvtFl9jjlIKJUoNFosHrV9WqHMWPl5WQh3ZGGoYAX9fX1GBgYgMPBHaPJTqN2ADR1xtYzIyKiVGcw6DFvbjHEoBd+vx9VVVVqh0RERLPcmFV5zCgTEaU8QRCwYP5cSCE/ZFnCiRMn1A6JEoAJ5SQiCAIE1jMjIqJRFs6fC1kWIYshHD9+XO1wiIholmMNZSIier+F8+dCURSIIT+OHz/O3w8pgAnlJMKSF0RE9H4Fc3Jht1khBr2oqamBx+NROyQiIprFNJoLU0hZkVWMhIiIZgpHmh0Fc3IgBr3o7u5GS0uL2iHRNGNCOYmMrWfGhDIREUUm/gvnz4UY8kGSJJw8eVLtkIiIaBYbu4hFxUCIiGhGWTi/HFI4GG0ITsmNCeUkwsEdERGNZ0FFZAuaNLwFjYiI6HJxVyQREY1n3txi6HU6iKFIQ3BRFNUOiaYRE8pJhIM7IiIaj9vlRG52JsSgF+3t7ejo6FA7JCIimqUEQYjOOzjnIJo5/IEgWts74Q8E1Q6FUpTRYEB5WRHEoBc+nw/nzp1TOySaRkwoJxE2yCAiongWzi+HGA5AkSWuUiYiosvGRSxEM8+WnXtxwx2P47rVj+CGOx7Hlp171Q6JUtTC+XMhSyJkKYRjx46pHQ5NIyaUk8jowR3AwR0REV1QUV4CrUYDMejDiRMnIMtspERERJPHMntEM0tf/yD+7iv/gs6uHgBAZ1cPPveV76Cvf1DlyCgVFebnwWa1QAxGVih7vV61Q6JpwoRyEuFqASIiisdiNqG0pADhoBcejwfnz59XOyQiIpqFxsw5uIiFSHXrNm6PSR739g9g/aYd6gREKU2j0WBBRRnEYKQh+KlTp9QOiaYJE8pJhKsFiIjoYhZWlEOWwpDEEMteEBHRZRmZcwgQOOkgmgHiJY7Xbxz/ONF0WzC/HIoisyF4kmNCOYkIggCwQQYREcVRWpwPs8kEMejD2bNnEQgE1A6JiIhmGe6KJJo5+gcGsWf/4XEf273/EPoHWPaCEi/TnY6crAyIIR9aW1vR2dmpdkg0DZhQTiIc3BER0cVotVpcNa8UYtCLcDiM06dPqx0SERHNMtE5BxcoE6lu47Y9EEVp3MdEUcKm7e8mOCKiiIXz50IM+dkQPIkxoZxEBEHASEqZCWUiIhrPwvlzI1vQwgEO7oiIaNK4iIVo5rhUWQuWvSC1VJSXQiMIbAiexJhQTiKsoUxERJeSnZUBt8sJMehDY2Mjent71Q6JiIhmESaUiWaGIY8XO/YcvOg5O/YchMfjTVBERBdYLWaUlRRCDPkwNDSEuro6tUOiKcaEchJhx2UiIroUQRCwaH45pJAfiizjxIkTaodERESzyIU5h8CEMpGKtuzYi1A4fNFzgqEQtuzcl6CIiMZaMH8uJDEEWQxzZ2QSYkI5iUQGd2zKR0REF3dVRRkgAGLIh+PHj/N3BhERTRgXsRDNDOs27ZjYeSx7QSopLcqHyWiEGPKisrISwWBQ7ZBoCjGhnES4/YyIiCbCbrOiKD8PYtCHvr4+NDY2qh0SERHNEiyzR6Q+nz+Abbv2T+jcrbv2wecPTHNERLF0Oh3mzytFOOhDKBTCmTNn1A6JppBO7QBo6giCMLJAmYM7IiK6qIXz56K+qQWyJGLv3r0IhULQ6/UxHwaDAQaDQe1wiYhohuAiFiL1bd+9H/5xksRaiwGSLzTmmN8fwI49B3DfnasTFR5R1KKrynHsZCWkcBCHDh2C1Wodd74x8nn07xia2ZhQTiJjvvE4uCMioosoLyuGYce7EINeVFVVoaqqKu65V199NR577LEERkdERDNVdM4hsIYykVrilbEo+fjNqPmfrbHnv7OdCWVSRU5WBlzpDgx6vWhpacEf/vCHuOcWFhbiox/9KLRabQIjpMvFkhdJhDWUiYhoovR6HRZdNQ8h/yC8vc3w9rbA19cGX387/AMd8A92IjDYBTHkw5kzZxC+RNMXIiJKDVyhTKSuYCiEzdvfjTluzEpD9l1Xw5iVFvPY5h17EQyFYo4TTTdBEHDt1VdBDPnGn3MMdMI/2IVwwIPGxkb09fWpHTJNEFcoJxE2yCAioslYvWo58nKy4PH6EBZFiKKIUDiMvr5B1De1QKszQqs3Y9myZdDr9WqHS0REM8DInEMAwCkHUeLtfPc9eLy+mOMZK8shaAS4V85F6+tHxjw25PFi195DuHPNykSFSRR17eIFsNtsGBgcQlgUEQ6HEQ6L8Pr8qKqpg0ajg85gRnl5Odxut9rh0gQxoZxEuFqAiIgmQ6fT4aqKspjjr63bDI1GB5PdjbKyMtx9990qREdERDMRF7EQqWv9ph3jHnevmgsgklh+f0IZANZv3MGEMqlCEASUlxXFHN+x5wAEQYApLQNZ2Tl47LHHWEN5FmHJiyTCjstERDRlBACCBjk5OdBoOFwgIqKIC3MO1lAmSrRwWMTGrbtjjhtcVtjn5QIA7BW5MLisMeds3LYb4bA47TESTY4ACBq43W4YjUa1g6FJ4AwxiQiCEB3gcXBHRESX66Ybl0FQZIR8A9i3bx+amprUDomIiGYI7ookUs+7Bw6jf2Ao5rh7uNwFgEjZixvnxpzT1z+IvQdjVy4TqWX5dYthNhkQ8vahsrISp06dUjskmgQmlJMIB3dERDQVMt3pWHXDdQgHhiCGAnj99dfZlI+IiABwzkGkpvWbdo57PGNl+Ziv3avKxz1v/cYdUx0S0WWzWsy4Y81KiCE/pJAPb7/9NoaGYt8woZmJCeUkwsEdERFNleXXXY3c7EwEPb3o7u7Ctm3b1A6JiIhmgOicQ2CZPaJEkiQJG7bsijmud1qQtiBvzDHHgjnQO8wx5769ZRckSZq2GIkmq2JuCeaXlyLo7YfX68G6deuYz5olmFBOIqyhTEREU0Wj0eCeO26GRlAQ8g1i//79aGxsVDssIiJSGRexEKnjwOET6O7piznuvqEMgnZsakfQauBaEdt4ubunDwePnJy2GIkux+2rb4TFbETI04uzZ8/ixIkTaodEE8CEchIZGdwJENhxmYiIrliGKx03rVjK0hdERBTFpnxE6li/ace4x90rxy9v8f4yGNH7sOwFzTAWswl3rlkFMRyAGPJhw4YNGBwcVDssugQmlJPI6NUCXKJMRERTYemShZiTk4Wgpxc9Pd3YunWr2iEREZGKxqxQ5iIWooSQZXncRLDOZoRjcf641ziuLoDWaow5vn7TDsiyPNUhEl2R8rIiLKgoQ8jbB5/Pi7feeotvWs5wTCgnkbH1zPiNR0REVy5S+uKW4dIXAzhw4ACOHDnC3zNERCmKZfaIEu/I8TNo7+yOOe66vgwanXbcazR6Ldw3lMYcb+vowtETZ6Y8RqIrddstN8JiNiHk6UV1dTW2b9/ONz9mMCaUkwgHd0RENB1c6Q7cfOMyhAMehPxDeOONN/DKK68gEAioHRoRESUYaygTJd66OOUuMlaNX9ZihDvO4+tY9oJmILPJiLtujZS+CPsHsHPnTvz2t79l+YsZignlJMLBHRERTZelSxbimkXzEfT2IejpwckTJ/D888+jublZ7dCIiCiBon1bBIGrWIgSQFGUcctdaM0GOK8tvOi16UuKoDXrY46v37STOQOakeaWFuGW4YUsgcEu1J6vwc9+9jNUVVWpHRq9DxPKSYQNMoiIaLoIgoC7bl2FB++5FTpBgn+gHd2d7fjVr36FPXv28PcOEVGK4CIWosQ6eaYaTS1tMcddy0ug0esueq3GoEP68tiyF43NrThVeW7KYiSaSjcsuwZPPnIfLCYd/AMdGBrowUsvvYQNGzZAFEW1w6NhTCgnkakY3PkDQbS2d8IfCE5VWERElETml5fiIx9ci9wsN/yDnQh4+7F582b87ne/g8fjUTs8IiKaZiyzR5RY6zZuH/e4e+XFy12MyFg5d1L3JZoJCubk4KNPPYK5JQUIDPUg6O3D/v378b//+7/o7o6tJ06Jx4RyErnSjstbdu7FDXc8jutWP4Ib7ngcW3buncrwiIgoSTjS7Hjy0fuwYtk1CPsHERjqQk3NObz22mtqh0ZERNPsSuccRDRx8cpdaAw6pC8tntA90peWQGOIXcm8fuMO7jKgGc1sMuLh+27HHatXQgn74R/oQGtzE1588UW1QyMwoZxUrmS1QF//IP7uK/+Czq4eAEBnVw8+95XvoK+fxc+JiCiWVqvFzTcuwwN3r4EUDkIKB+D3+9UOi4iIphlLXhAlztlzdThf3xRzPH1ZMbSm2NrI49Ga9OMmn2vqGlFVU3elIRJNK0EQcO3iq/D0Bx6ALIUhhnxsDD5DXLzgDs0q0cGdMPkayus2bo9JHvf2D2D9ph348BMPTVWIRESUZALDJZJ0ehPKyye29ZKIiGYv9m2hVCJJEv7z57/F5h17MTA4lPDnH/J4xz2eMcFyFyPcK8vRs68m5vjjH/s87DbrZcV2JRxpdty5ZiU+/+mPQKvVJvz5afYJBEMAAK3BjLlzxy/jQonFhHISuZLVAus37Rj/+EYmlImIKL6a2kZodUYIGi0qKirUDoeIiKYZVyhTKvnWd/8L//e7l9UOYwxBp0X68pJJXeO6vgSCTgtFlMYc7+ruRVd371SGN2FHT5xBb98AvvONL6jy/DS71NQ2QKPRQqPVY/78+WqHQ2DJi6QyMrgTMLnBXf/AIPbsPzzuY7v3H0L/AMteEF0JKRhC/5lzkIbfVSVKFsFQCI3NrdAZzEhLS0Nubq7aIRER0TS7sCuSTfkouUmShD+/tkHtMGI4ry2EzmKc1DU6ixHOJYXTFNHl+/PrGyDLstph0AynKApq6hqgNZih0+m4K3KGYEI5iYxeLTCZ/hgbt+2B+L53KkeIooRN29+9wsiIUtupH/4Ch5/7d5z60S/VDoVoStU1NEOSZWgNZsyfP3/s7yEiIkpKXKFMqUKr1cJkmlziNhEyVl1eMi3jppmXhDOZjNBomJaii+vs6sHgkBc6gxklJSUwGmfe92Uq4nduEhlTz2wSGeXxusZO5nEiii/Q3Yvu944DALoPHkOgp0/liIimTk1tAzRaPTRaHbeeERGlCNZQplTy7Mc+qHYIY1gK3ci85fLGXJm3zIelwDXFEV2ZZz76pNoh0CxQU9cIQRCg0RlZYm8GYQ3lJHI5qwWGPF7s2HPwoufs2HMQHo8XNhWK9RPNdl0HjsZ8XXDfbSpFQzR1JElCXUMzdAYzTCYTioqK1A6JiIgSYMycYzLbIolmoc9+6mkoiox/+49fQpLG39U7wjwnHaZc57TEIWgEWEsyMWftddDoL6+JnUavxeJ/fxItrx+Bt64Lijw937/+1j4EWvsveo5Op8VXP/8MPvupp6clBkouNbUN0OrNEASBCeUZhAnlJHI5CeUtO/YiFA5f9JxgKIQtO/dh7f13XFF8RKmoc9+RmK+ZUKZk0NzajkAwBLMjHeXl5ezQTUSUIi63zB7RbCQIAv7umb/Cyuuvxd/8/T+jsbk17rnBrkHkPXwtcu5ZPGPLgOlsJhR9eOW03FtRFLRvOIG6/2u86HmF+Xn4+Y++jeuuWTgtcVByGRgcQmd3L0w2N+bMmYO0tDS1Q6JhLHmRRKK1h4SJJ5TXbdoxsfNY9oJo0kL9g+ivPDfmWP+ZaoQGhlSKiGjqnGOnZSKilHS5jcCJZrOlSxZhy+u/xiMP3Bn3HDkk4fxPt+Hsd9chPBRIYHTqCw8FcPa763D+Z9sgh+Kv5H7kgTux5fVfM5lME1ZT2wAA0OpNnHPMMEwoJ5GxK5Qvfb7PH8C2XfsndO+tu/bB50+tX4pEV6rr4DHg/VvJZCWmDAbRbKMoCmpqG6OdlufOnat2SERElCBsykepKs1uw09/8E/4j+/+IywWc9zzevbV4OjnfoeBU80JjE49A6eacfRzv0PPvpq451gsZvznvz2Hn/7gn5BmtyUwOprtauoaodWbIGg0TCjPMEwoJ5HJNsjYvns//OMkiTXW2P8Wfn8AO/YcuNIQiVJK577D4x/ff2Tc40SzRUdnN4Y8kU7LpaWl7LRMRJRConMOgU35KPUIgoAPPno/Nr3yf7h6wby454W6PTj53Mto+MM+KJKcwAgTR5FkNPx+L04+9zJC3Z645129YB42v/orPPnIfTO2FAjNTP5AEM0t7dAZzHC5XMjIyFA7JBqFCeUkMtnVAvHKWOR/IX/889/ZfllxEaWi8JAXfSerxn2s78RZhD3eBEdENHXYaZmIKHVNdlckUTKaW1qEdX96Hs9+7Mn4J8kKml7aj5P/+BcEOgcTF1wCBDoHcfLrf0HTHw/E7sgc5dmPfxDr/vQ8ykoKExgdJYva+kbIigKtwYz58+fzDYkZhk35ksjoby75EqO7YCiEzdvfjTluyDPAvdaN9l+1I9QWGvPY5h17EQyFYDQYpiZgolnK19qB2pfeQHgoflI47PFCidMJWpEkHP32j6G3WeNer7dbUfrUw7DkZV9xvERTraa2kZ2WiYhSFEteEEUYDQb889c/h5tXLsPnv/av6OntH/e8wTOtOPq5F1H+d3ciY1V5YoOcBt3vnsO5n2yG5A3GPcftcuK//u0buH31jQmMjJLNudoGaHUGaDRalruYgZhQTiLRBhkT2H6289334PH6Yo47b3NC0Ahw3uZE5+87xzw25PFi195DuHPN9HSFJZot6l95Gx173ruiewydb7jkORqDHgv+7uNX9DxEU61/YBBdPZFOy/n5+bDb7WqHRERECTSmzB6YUCa6Y/VKbHvjBfzdV/8Fu/YeGvccyRvE2X9bh5x7rkbJJ1dDa9InOMorJwXCqPvfnWjfePKi561etRw/+d43kZXpTlBklIzCYRENjS3QGqywWq3Izx9/Jz2phyUvksiY5f+XSCiv37Rj3OPO251jPsdcF6dMBlEqcV93NTDd220EIfI8RDNMTW0jAHZaJiJKVVyhTBQrOysDf/y/H+Mb//AZ6HTauOe1v3MSx7/0B3jruxMY3ZXz1nXh+Jf+cNFksk6nxTe//Bm89L8/YjKZrlhjcytCYRE6vRnz5s2DRsP05UzDf5EkMtHBXTgsYuPW3THH9Zl6WBdFtuBbr7ZCnxn7runGbbsRDotTEC3R7JW9ahmu/fYXYXQ5p+X+RpcT1/7zl5C9atm03J/oStTUNUQ7LbPcBRFR6mFCmWh8Go0Gf/vXH8KbL/0cRQV5cc/zNfXi2Jf+gLb1x2f895CiKGhdfwzH/v4l+Jp6455XXDgHb730PD77qQ8x8UdToqa2ARqNDoJWx0UsMxS/05PIRBtkvHvgMPoHhmKOj5S7ABApe3GrM+acvv5B7D145IpjJZrtXIuvwvU//hYyll8zpffNWH4Nrv/xt+C6mr80aebx+QNobu2AzmCG2+1mp2UiohQUnXMIbMpHNJ7rFi/Altd/g0cfuDPuOUpYwvmfb0Plv76F8KA/gdFNXHjQj8p/fQu1P98OJTx+bxgAeOzBu7D5tV/j2sVXJTA6SmayLKOmrhFagxkGgwGlpaVqh0TjYEI5iYxJKF+kntn6TTvHPf7+Mhcse0F0cYY0OxZ//bOY99dPQaO/spL0Gr0O8/76KSz++mdhSGNNWpqZunv6oCgKtDojSkpK2GmZiCgFcYUy0aXZbVb8zw/+Cf/1vW/AYjHHPa/3wHkc/dyLGDjZnMDoLq3/ZBOOfu5F9B44H/ccq8WMn3zvm/ifH/wT7BdpNk40WV6fHz5/AFq9EQUFBdDrZ1/N8VTAhHISGdMgI87gTpIkbNiyK+a4zqWDbYltzDHbtTbo0mOTZG9v2QVJiv8OJVEqEQQBBffdhmXf+0dY5uRc1j0s+blY9u/PoeC+25igoxnN6Yi82SHLIvr7+9UNhoiIVBFtBM4lykQXJQgCnlh7L7a89mssXhi/TFiox4OTz/0FDS/uhSLJCYwwliLJaHhxL0499zJCPZ645y1eWIHNr/0aj6+9J4HRUaqwWszQabVQJM45ZjImlJPIRFYLHDh8At09fTHHnWucELRjE1mCVoBjjSPm3O6ePhw8cvHOrkSpxl5SgOt/+A3YiifXfdZWnI/rf/Ac7JO8jkgNdpsVZpMJshhCW1sbV6YREaWgie6KJKKI0uICrPvj8/j0J56Kf5ICNP3pAE58/c8IdA4mLrhRAp2DOPH1P6PpTwdwsW/tv/nEU1j3x+dRWlyQuOAopWg0GmRluiBJIfT29iIQCKgdEo2DCeUkMrae2fi/AdZv2jHucedtznGPp9+WPv59WPaCKJaggb9jch2b/R3dENi4gmYJQRCQnemGLIXh9XoxNBRbj5+IiJLfyLyD7ysSTYzBoMe3v/q3eOl/f4QM9/hzbAAYqmzD0c+9iP4TTQmMDug/ESlxMVTZFvecDHc6XvrfH+Gfvvq3MBhYgoCmV1ZmBmQxDABob29XORoaD7MYSeRSTflkWR43EaxN08K+bPyarbblNmjt2pjj6zftgCyrux2HaKbpPX4Gkn9y755K/gB6j52ZpoiIpo4syzhw6DiaW9uhDP/87+uL3fFCRETJ70JCmRllosm49eYbsO2NF7DmpuvjniN5g6j81zch+kIJiUn0hVD5nTcheYNxz7n1phuw/c3f4tabb0hITJS6FEXBqcpqnK0+D0WRoSgK5xwzFBPKSeRSNZSPHD+D9s7Y1ZOOWxwQ9OPXbdXoNXDcElv2oq2jC0dPMAlGNFrXvsOXdV3n/iNTHAnR1Orp7cdLr6zDrn2HIOgtMKVlIDs7Gzk5l1c3nIiIZrfIvCN+3xYiii8r040//PKH+NZXPgt9nMbeki8ET3X81cJTyVPdBsk/fvJar9fhn776t/j9L3+AzAxXQuKh1OXxePHaus3YsGU3REUHiyMbaWlpKC0tVTs0Gsf4P71oVrpUDeV1ccpdpN8ef8sNADjvcKJ3fW/s/TbuwNIliyYXJFGSkkURXe8dv6xruw4egyyK0Oj4I5lmFlmWcejoKbx74AhkRYA5LQs6gwk33ngjbr31VnZcJiJKUYIgXLTMHhFdnEajwWc++TRWXn8tPvTMP6Cntz/mHH26NSGxxHueDHc6Xnz++1hy9VUJiYNSl6IoOFNVg2279iMYEmGyZ0BnMGPx4sW49957YTab1Q6RxsHsRRK5WIMMRVHGLXehsWpgXzF+uYsRaTekQWPRQPaNLXGxftNOfOsrnx3zvESpqu9UFUSPb9zHMm9Ygrkf+QDOvfAyug8ei3lc9PjQd6oa7iULpjlKoonr6e3Hxq270dLeCb3JDrMlDRkZmVi7di0KCtiEhYgolbGGMtHUuKqiDKFQOOa4MSsNlkJ3QmKwFLphzEpD8H3NAIPBEK6qKEtIDJS6vF4fNm1/FzV1jdAZLLA4M2BPc+CBBx7A/Pnz1Q6PLoIJ5SQyMrATgJiurCfPVKOpJXbLjOMmBzSGi1c+0Rg1cNzsQN/GsXVrGptbcaryHK5eMO9KwiZKCp37YstWaPQ6lH/iScy5ezUEQcDir30GLe/swLlf/xlyWBxzbte+w0wo04wgyzIOHzuNPfsPj1mVvGLFCtx2221clUxERKyhTDRFdu09hCGPN+a4e+XchC3cEgQB7hvnovWNsfOZIY8Xu/cdwh2rVyYkDkotiqLgbHUttuzch2AoDJPdDZ3Bgquvvhr33nsvLBaL2iHSJbCGchK5WMmLdRu3j3uN83bnhO7tvG388+LdlyiVKJKMrgNHxxyzFuRi+fefQ/49ay682SMIyL/3Viz//nOwFuSOOb/zwFEoEhtdkrp6+wbwx1fWY8e7ByHoLTA7s5GZnYuPf/zjuPvuu5lMJiIiAKNqKL9/FQsRTcp4u4gBIGNleULjyFg5d9zj6zfuTGgclBq8Xh/eeHsr1m3aAVHRwuLMgSM9E08++SQee+wxJpNnCa5QTiLRhLIwtkFGvHIXglFA2sq0Cd07bVUaBKMAJTh20Lh+4w587QvPsOwFpbRATx/CA0PRr+fcvRrlH38cWqNx3PNtRflY/v3ncO5Xf0bLpl0AgPDAEAI9fTBnJWZrG9FosizjyPEz2L3v0JhVyTfccANuv/12JpKJiGgMrlAmunLhsIiN23bHHDe4rLBX5I5zxfSxz8+DwWVFqHfsaumNW3dDFL8MHXu90BRQFAVnz9Vh6859CARDMNnc0BktWLRoEe677z4mkmcZ/lRIIvFWKJ89V4fz9U0x5ztuckBr1k7o3lqzFo5VDvRv6x9zvKauEVU1dZhfzq6blLpM7nTkrF6BodpGlD71MLJuvO6S12iNRsz/m7+Ca8kC1L70JuxlhTBlXLxBJtF02XvwKPa9dwx6kw1miwNudwYefvhhFBUVqR0aERHNQEwoE125fe8dRV//YMxx941zIWgSu2BL0Ahwr5iLtrfHNhnv7R/AvveO4eYblyU0HkpOZ6pq8PbmXdAZzLA4c2Czp+H+++/HggUs/TgbMaGcAJIk4f/9v/+HdevWoa+v79IXXCZFUdDb2wtFlqDTafHD//k1AIxbkwmIX8YiHudtzpiEMgA8/rHPw25LTAfa0Rxpdty5ZiU+/+mPQKudWGKcaDoIWg0WfuGTl3Vt1o1LkXXj0imOiGjiFEXB8VNnoTfZYbQ6o6uSDQaD2qEREdEMJQgCBAExfVuIaOLWvTN++Uj3qsSWuxj9vO9PKAPAW+9sZ0KZpsSxk5XQGcww2TOwcOFC3HfffbBaE59LoqnBhHICfPGLX8RPfvKThD9vV3dv3McEvQDHTY5J3c9xswOCXoASHjty7OruvehzTaejJ86gt28A3/nGF1R5fiKi2a6zqwc+fwDmNDsqKipw7733qh0SERHNcFyhTHRlJEnC21t2xRzXO8xwLJijQkSAY+Ec6NLMEAf9Y45v2LIL3/3Wl7iIi66IPxBEW0c3DBYnMjMz8fjjj6sdEl0hNuWbZpIk4YUXXlA7jBj2FXZobZP7haC1aWG/wT5NEV2+P7++AbLMZmZERJejvrEFgiBAozNi7tzxG7IQERGNFm3Kd5kJZSkYQv+Zc5CCoakNjGiWOHjkJLp7Yncvu1aUQdBOPk2jKAr6jzei5fUj6D/eeFnfm4JWA/eKspjjXd29eO/oyUnfj2i0xuZWKIoCrd6EsrLY/2c0+3CF8jTTarUwm80YHIytjaSm9Nsvr1Zr+h3pGNwzs16LyWSERsP3RoiILkd9Uwu0OiMEQeDgjoiIJiS6Qvkya16c+uEv0P3ecWRcvwTXfP2zUxka0aywfuOOcY9nrJx8uYvwgA/V/7EJfYfqosfSl5Vg3hfugt4xuSZnGSvL0bHpVMzx9Rt3YMWyJZOOjWhEQ2MLNFodNFod5xxJglm4BPjSl76kdghjmMpMSL/nMhPK96TDVGqa4oiuzDMffVLtEIiIZqVQKIyW1g5o9Sakp6fD5XKpHRIREc0CF0peTP7aQHcvut+L1GntPngMgXFWaRIlM1mW8fbmnTHHtVYjHFcXTOpe/ccbceTvfjcmmQwAfYfqcPRzL6L/eOOk7udYXACt1Rhz/O3Nu1jihi6boiiob2yBVm+CVqtFcXGx2iHRFOAK5QT48pe/DFmW8Y1vfAOSJF30XGOREcb82B/gU0HQCjCXm5H1V1nQ6C/vvQSNXoN5v5qHzt91wn/OD0Wanl8qwaYggo3Bi56j02nx1c8/g89+6ulpiYGIKNmdqaqBJMswGrj1jIiIJu5Kaih3HTga83XBfbdNSVxEs8Gxk5Vobe+MOe6+oRQa/cTKUsqihMYX96L51UNxm2OGer049c1XkP/YchR+6EZodJe+t0avhev6UnRtrxxzvKWtA0dPVuK6xQsmFB/RaI3NrRgY8sBkz0BRURH0er3aIdEUYEI5AQRBwNe+9jWsWbMGTz/9NOrq6uKeG2oPIevpLGQ8lhEdqM00OrsOeZ/Jm5Z7K4qC7pe70fzj5oueV5ifh5//6Nu47pqF0xIHEVEy8/kD2L57P85UnYfOYIag0bF+MhERTdiV1FDu3Hck5msmlCmVvPXO9nGPu1dNrNxFoL0fZ7+/AZ7q9kufrADNL7+H/hNNmP/le2HKcV7ykoxV5TEJZQBY9852JpRpUsJhEe8eOIxDx05DqzNAq2fPlmTCkhcJtGLFChw9ehRPPfVU3HOUoIKm7zah7it1EAfEBEanPnFARO2Xa9H0b01QgvEHp488cCe2vP5rJpOJiC7DufMN+M0fXkVldR2MNheMNjcWLVqEiooKtUMjIqJZQhAEQJj8CuVQ/yD6K8+NOdZ/phqhgaGpDI9oxlIUBes3jVPuwqxH+pKiS17ftfMsjn7u9xNLJo/iqW7H0c/9Hl07z17y3PRri6A1x64gXb9pB8te0IQ1t7bjhT++hkNHT0NvToMpLQuFhUVYvny52qHRFOEK5QRzOBz4/e9/j7vuugt/+7d/C6/XO+55/dv64T3tRfF3imG/zp7gKBNv6MgQ6r9Rj3BHOO45FosZ3/3Wl/DE2ntn7OptIqKZyucPYNuufaisroVOb4LZmQOLxYp7770Xixcv5s9VIiKasMutodx18Bggv+8iWUHXgaOYc9ctUxMc0Qx2qvIcGptbY46nLy+FxhA/PSP5Qzj//HZ0bj1z0fvn5WSNW05j5B5VP9iAvmONKHtmDbRmw7jnaQw6pC8rQffu6jHHG5pacfrsOSy6at5FY6DUFg6L2L3vEI6cOAONVg+zMxsGoxm33norbrzxRmg0XNeaLPgvqQJBEPCxj30Mhw8fxrXXXhv3vHBHGOeePYfW51uhiMn5TqAiKmj9eSvOPXvuosnkqxfMw+ZXf4UnH7mPSQ8iokmqqW3Ar3//Cs6eq4fJ5oLRnoGrrlqAz372s7jmmmv4c5WIiCblcmsod+47PP7x/UfGPU6UbNZv3DHu8YyV8csAeGo6cPQLv79oMtmg1+Nf/vHzOLT9Ffx/X/8c9Pr4yenOLadx7It/gKemI+45GSvHL78RL34iAGht78QLL72GI8fPQG92RFYlF5Xg2WefxapVq5hMTjL811RRRUUF9u3bhy9+8YvxT5KB9l+0o/rZaoTaQokLLgGCbUFUP1ON9l+2A3L88579+Aex7k/Po6ykMHHBEREliYamFrz+9laERMDszIHdmYHHHnsMH/zgB2G3J/8OGCIimnoX3oiceEI5PORF38mqcR/rO3EWYc/4OzeJkoWiKFi3MbZ+ssagQ/rSktjzZQUtrx/B8S//EYHW/rj3LSsuwPo//wJ//dEnoNFo8MzHnsT6P/0CZcUFca/xt/Th+Jf/iJbXj4z7xlD60mJoDLFN/NaNU66DCAC6e/vwl9c3YNAbgNmZDYs9HXfffTc+8YlPIDMzU+3waBqw5IXKjEYjfvSjH+GOO+7Axz72MXR1dY17nveYF5VPVaLwm4VIvz09wVFOvb6tfWj8l0ZIQ1Lcc9wuJ/7r376B21ffmMDIiIiSx8DgEN56Zwc0OiOM9gzMnz8fDz74IGw2m9qhERHRLPb+pny+1g7UvvQGwkPxk8JhjxeKNP7YX5EkHP32j6G3WeNer7dbUfrUw7DkZV9R7ERqqaqpQ01dY8zx9KXF0JrG1iwO9ftw7j82ou9w/UXv+dRjD+A7z30eVqtlzPHFCyuw6dVf4bnv/Af++Or6ca9VRBl1/7cT/ccbUf75u2BwXriH1myA87pi9O4/P+aac+frUVVTh4q5sQlwSl3BUAivr98CURZgdmSioKAQa9euRUZGhtqh0TRiQnmGuO+++3D8+HF85CMfwZYtW8Y9RxqSUPeVOgw9NoT8L+ZDY559C8xlv4zmHzWj+9Xui563etVy/OR730RWpjtBkRERJRdRFPHmhm0IhsIwO7JRUVGBD37wgyxvQUREV0wQBAi4UPKi/pW30bHnvSu659D5hkueozHoseDvPn5Fz0OklnjlItzvKy/Rd7QB1T96B+F+X9x72W1WfP//+wrW3n9H3HOsVgv+47v/iNWrluMr//R9DMXZBdB3qA5HP/c7VHzpHjhHNQbMWFUek1AeeR1MKNMIRVGwYfMu9A8MwezIRk5OLj760Y9Cr49t7EjJZfZlJJNYbm4uNm7ciO9973vQ6eLn+rtf6cbZj5yF/5w/gdFdOd85H85+5OxFk8k6nRbf/PJn8NL//ojJZCKiy6QoCrbs2IeOzh4Y7RlwZ2TikUceYTKZiIimxPub8rmvuxqY7t8xghB5HqJZav045SIEnRau6yPJWTksoe43u3H6W69eNJm8dMlCbHn9NxdNJo/2yAN3Ysvrv8Z11yyIe064z4dT33oV9b/ZDVmM7CRwLS+FoItNGa3ftGNCz0up4cDh4zhX2wCjzQ2L1Y4nn3ySyeQUwYTyDKPRaPCVr3wF7777LkpLS+OeF6gN4OxHzqLrz12TboaRaIqioOvPXaj6SBUCtYG45xUXzsFbLz2Pz37qQyzWTkR0BU6crsLJymoYrOkwma148sknYTab1Q6LiIiShCAIgHBhhXL2qmW49ttfhNHlnJbnM7qcuPafv4TsVcum5f5E062uoRlnqmpijjuXFEJnMcLf1o8TX/0TWl45FPcegiDg85/+CF5/8acoKsib1PMXFczBG7//GT737F/FX2CgAM2vHMKJr/4Z/rZ+6KzGMSuWR5w+W4P6xuZJPT8lp/rGZuzZfwQGcxr0Rgsee+wxuFwutcOiBGHWboa6/vrrcfToUTz99NNxz1FCCpq+14Tav6+F2C8mMLqJE/tF1P59LZq+1wQlFD/x/diDd2Hza7/GtYuvSmB0RETJp7W9E1t37oPeaIPeZMVDDz2E7GzWmyQioqnz/hrKAOBafBWu//G3kLH8mil9rozl1+D6H38LrqvnT+l9iRJpXZxyFxmrytG5oxLHPv97eM51xL0+O9ONv/z6P/H1Lz4Lvf7yKpfq9Tr845c+jT//+j+QfZHdwJ7qdhz7/O/RueMs3CvnjnvOuo1szpfqRvdq0ZvTsGbNGpSXl1/6QkoaTCjPYGlpaXjxxRfxwgsvwGqN36BiYOcAKp+qxNDhoQRGd2lDh4ZQ+VQlBnYOxD3HajHjJ9/7Jv7nB/8E+0WacBAR0aV5fX68uWEboNHBYHVixYoVuPpqbg8mIqKpdaHkxdgFI4Y0OxZ//bOY99dPQXOZSa8RGr0O8/76KSz++mdhSLNf0b2I1LZu4/Zxj3fvPYfqH74DyR+Ke+2dt67Ctjd/i5tuXDolsdx84zJsffMF3LFmZdxzJH8I1T/cgJ59sauqgfivh1JDOCzijbe3IhSWYLK5UFFRgVtuuUXtsCjBmFCe4QRBwEc+8hEcPXoU1113Xdzzwp1hnHv2HFp/1gpFVLcEhiIqaP1pK859+hzCneG45y1eWIHNr/0aj6+9J4HRERElJ1mW8dY72+Dx+mG0uVFcXIw777xT7bCIiCgJRRPKcR4ruO82LPveP8IyJ+ey7m/Jz8Wyf38OBffdxvr/NOs1tbTj+Kmz4z7W915d3OsMej2+840v4Lc/+x7cU1xOJsOVjt/9/N/xnee+AMNF6t3Gi+/YyUo0t7ZPaUw0OyiKgi0796KzqxdGuxvujEw8+uij/FmdgphQniXKy8uxb98+/P3f/338kxSg/X/bUf1MNYJtwcQFN0qwLYjqZ6rR/n/t448wh/3NJ57Cuj8+j9LigsQFR0SUxHbtfQ9NLe0w2TPgcKbj8ccfh1arVTssIiJKQqNXKMfr52IvKcD1P/wGbMX5k7q3rTgf1//gOdgneR3RTPX25h2Tvqa8tAgbXv4lPvVXj09bok4QBHzqI4/j7b/8AnNLCid9/dvjNBmk5Hf81FmcqjwHg+1CrxaTyaR2WKQCJpRnEYPBgB/84Ad45513kJWVFfc873Evzn7wLIbeS2wJjKH3hnD2g2fhPe6Ne06GOx0v/e+P8E9f/VsYDOz8SUQ0Fc6eq8V7R0/BaHHCYLLgiSeegM1mUzssIiJKUhNOcAka+Du6J3Vvf0c3BDbopiSyfpL1hj/0+IN455X/w8L5ialHu+iqedj46q/w9AcemNR16zftmJ6AaMZqbe/Etl37oTfZoDeyV0uq42/qWejuu+/G8ePHcdddd8U9R/JIOP/35yF5pYTEJHmHn88T//luvekGbH/zt7j15hsSEhMRUSro6unDxq27oTNYoDPZcM8996CggLs/iIho+mg0GgDj11Eerff4GUj+wKTuLfkD6D125krCI5ox2ju68N7RkxM6N81uw/M//v/ww+98DVaLeZojG8tqMeNH//p1/PzH/zzh3kYHj5xER+fk3jCi2cvr9eGNt7dGerVY2KuFmFCetXJycrBhwwZ8//vfhz5OzSPZK8N7Kv5q4ankPeWF7JXHfUyv1+Gfvvq3+P0vf4DMDFdC4iEiSgWBYBBvvL0FoizAaEvHkiVLsGzZMrXDIiKiJCcIwkg++aIJ5a59hy/r/p37j1zWdUQzzdtbdl30e2TEsmsXYcvrv8HD992egKjiW3vfHdj6xgtYumThJc9VFAVvb96VgKhIbZIk4a2N2+H1BWC0Z7BXCwFgQnlW02g0+Id/+Afs3bsXmZmZ456jz0hMWQm9e/znyXCn462Xfo6/+cRTwysZiIhoKiiKgg2bd6F/YAgmuxu5uXl44IEH2BCDiIim3ejfNfGSZbIoouu945d1/66DxyCL4mVdSzSTrN+446KPC4KAL/7NR/H6i/+DwvzcxAR1CYX5uXj9xZ/iC5/+6CXHlSx7kRp27T10oVeLw8leLQSACeWkcPXVVyMYjG3CZ8gzwFSamOLopjITDLmGmOPBYAhXVZQlJAYiolSy/9Bx1NQ1wmhzw2pLw5NPPhl3xwoREdFUEgRhZIEy4i2+7DtVBdHjG/exzBuW4Mb/+Q4yrl8y7uOix4e+U9VXHiiRihRFwcEjJ+I+npOVgb/85j/x1S88A51Ol8DILk2v1+FrX3wGf/nNfyInKyPueQcPn5jQCmyavSqra3HoGHu1UCwmlJPAli1bMDg4GHPceaszYSvVBEGA8zZnzPEhjxe79x1KSAxERKmirqEZ7x44AoM5DXqjBY899hjS09PVDouIiFJEZI5x8RrKnftiy1Zo9DpUPPshXP3Vz8CSl43FX/sMKp55Ghp9bDLtcstlEM0UoijhwlsvY919203Y+sYLuGnF0gRHNTk3rViKrW+8gLtuXRX3HFFMTN8mSryu7l72aqG4mFBOAq+88sq4x523OxMax3gJZWDyXW2JiCi+/oFBrNu4AxqdEXpzGm699VbMnTtX7bCIiCiFjCl5gdiEsiLJ6DpwdMwxa0Euln//OeTfsyZ6vSAIyL/3Viz//nOwFozd7t954CgUafweLUSzgV6vw1MfeGDMMaPBgP/3rS/hNz/9N7hdTnUCmyS3y4kXfvY9/Os3vwijYeyu5KcffxD6cd4Qotkv0qtlKyQl0qvl2muvZa8WGoPf+bNcOBzGG2+8EXNcn6mH9eqJdWedKtbFVugz9Ah3h8cc37h1N0TxyzNuGw8R0WwTDot44+2tCIUlmB1ZuOqqq3DzzTerHRYREaWYS9VQDvT0ITwwFP16zt2rUf7xx6E1Gse9n60oH8u//xzO/erPaNkUafIVHhhCoKcP5iz3FEdPlDj/+o0vID8vB3sPHEFebhae+diTqJhbonZYkyYIAj754Q/gphVL8Yvf/AmtbZ1YecN1+JtPfFDt0GgaRHu1DA7B7MhGXt4c3H///ezVQmMwwzfL7dy5E729vTHHnbc6IWgS+80uaAQ4bnWg+y/dY4739g9g33vHcPONfDeLiOhyKYqCzTveRVd3H0yOLGRkZmHt2rUc2BERUcKN/t0jy7EJZZM7HTmrV2CothGlTz2MrBuvu+Q9tUYj5v/NX8G1ZAFqX3oT9rJCmDJYzolmN51Oh7975sP4u2c+rHYoU6Jibgl++J2vqR0GTbN97x1DTV0jTPYM9mqhuJhQnuVefvnlcY8nutzFiPTb02MSygDw1jvbmVAmIroMPb39OHayEh1dPWhp64DJ5oLZYsOTTz4JkykxjVeJiIhGEwRhpITyuCuUBa0GC7/wycu6d9aNS5F148yuK0tElGw8Hi+OnDiDzq5e1De1RHu1fOADH4DT6VQ7PJqBWEN5FpMkCa+99lrMcV26DrZr1em6abvWBp0z9n2KDVt2QZJYrJ+IaDJ6evvxuz+9gWOnqtDRMwijNR06oxUPP/wwsrKy1A6PiIhSWjSjrG4YRER0RfyBIH735zdx8MgpNLV1Q29Og96chttuuw1lZWVqh0czFBPKs9i7776Lzs7OmOOONQ4I2slvgVYUBUMHh9Dx+w4MHRyK27H5YgSdAMcaR8zxru5evHf05KTvR0SUqmRZjrwZJwNmZw5M9gy4MnPxwAMPYOHChWqHR0REKSwcDkcTyTo25CIimtW27NgLry8AsyMbprRMOFzZWL16NW666Sa1Q6MZjL/9Z7FXXnll3OPpt02+1li4L4yGbzdgcM9g9FjaTWko+nYR9OmTq5XjvN2Jntd7Yo6v37gDK5YtmXRsRESp6MDhE2jr6II5LQsZGZn4+Mc/DptNnd0nREREo/l8PiiKBK1GAwPrahIRzVqV1bU4e64WJpsbVpsdn/zkJ+F2u9mnhS6JK5RnKVmW8eqrr8Yc19q1sC2fXMJh8OAgKp+sHJNMBoDBPYM4+8GzGDw4GOfK8dmX26G1aWOOv71512WteiYiSjUdnd3Ye+AIDOY06AwmPPLII0wmExHRjOHz+aDIMsxmE5MORESzlMfjxZYde6EzWKAzWnD//fcjIyODP9dpQphQnqXee+89NDc3xxx33OKARj+xf1YlrKDlv1pQ85kaiD3iuOeEu8Oo+UwNWn7SAiU8sWSwRq+BY3Vs2YuWtg4cPVk5oXsQEaUqURSxfvNOQKOD3pyGm2++Gfn5+WqHRUREFBVZoSzDZDSqHQoREV0GRVHwztY9CIZFGK1OLFq0CIsWLVI7LJpFmFCepV5++eVxjzvvcE7o+mBzEFWfrELHCx3ApfLECtDxmw5UfbIKwebghO7vvH38ONa9s31C1xMRpao9+w+jt3cAJpsbubm5WL16tdohERERRYXDYYiiOLxCmQllIqLZ6Pips6hrbIbRmo40hxP33Xef2iHRLMOE8iykKMq49ZM1Fg3Sbki75PW97/Si8ulK+E77JvW8vtM+VD5did53ei95btqKNGgssf+91m/awbIXRERxNDa34dCx09Bb0qA3mvDoo49Cq40tIURERKQWny8yh1AUGWaTSeVoiIhosvr6B7Fjz0HojVboDGY89NBDsFgsaodFswwTyrPQsWPHUFdXF3PccbMDGmP8f1LJJ6H+2/Wof64esleOe15eTlbcx2SvjPrn6tHwzw2QfFLc8zRGDRw3xZa9aGhqxemz5+JeR0SUqoKhEN7ZsgsarQF6kx233347srLi/zwmIiJSQzShLEswm5lQJiKaTWRZxobNOyHJgMHqxLJly1BeXq52WDQLMaE8C423OhkAnLc5417jq/Th7IfOovet+KuLDXo9/uUfP49D21/B//f1z0Gv18U9t+fNHpz98Fn4KuOvco4Xz/qNO+JeQ0SUqnbsPoBBjxdGmwvFxcVYsWKF2iERERHFGEkoQ5FhNrHkBRHRbPLekZNoae+E0eaCy+XGXXfdpXZINEsxoTzLKIoybv1kwSggbVVsuQtFVtDx+w5UfawKwcb49Y/Liguw/s+/wF9/9AloNBo887Ensf5Pv0BZcUHca4INQVR9rAodv+8Yt4xF2qo0CMbY7qDrNu2Me08iolRUU9uAE2eqYbA4YTJbsHbtWmg0/BVNREQzj9/vB8CSF0REs01Xdy/ePXAEepMdOoMJjzzyCAwGg9ph0SzF2eosc+bMGVRVVcUcT1uZBq15bJ3NcG8Y579wHi0/aoEixq9b/NRjD2DTq7/C1QvmjTm+eGEFNr36K3zw0fvjXquIClp+1ILznz+PcG94zGNaixZpN8Ymuc+dr0dVTWzJDiKiVOTzB7Bp+7vQ6U3QGa245557kJ6ernZYRERE4/L5fFAUBYqisCkfEdEsIYoi1m/aCUXQwmBxYNWqVSgsLFQ7LJrFmFCeZeKVu0i/fWzyYXD/ICo/WInBdwfj3stus+LnP/pn/Pj/fR1W6/gF2K1WC/7ju/+In/3w27DbrHHvNfju8PMdGPt8749rBMteEBFFdp1s3v4ufP4gDDYXKioqcO2116odFhERUVw+nw+KHOmlwhXKRESzw773jqGrpxdGmws5OTlYs2aN2iHRLMeE8iwzXkJZ0Atw3BxpgCeHZbT8VwtqPlsDsUeMe5+lSxZiy+u/wdr775jQ8z7ywJ3Y8vqvcd01C+KeI/aIqPlsDVr+qwVKOLIi2nGzA4IutuzF+k07JvS8RETJrLLqPKrP18NoTYfNZsdDDz0EQYj9mUlERDRTRFYoRxp8m1hDmYhoxmtp68CBwydgsDhgMJrxyCOPQKeL3zOLaCKYUJ5FampqcOLEiZjj9hvs0Nq0CDYFUf3JanS80BH3HoIg4POf/ghef/GnKCrIm9TzFxXMwRu//xk+9+xfxU94KEDHCx2o+mQVgk1BaO1a2G+wx5x2+mwN6hubJ/X8RETJZMjjxdZd+6AzWKAzWvDAAw/AZrOpHRYREdFF6fV6CEJkGunz+VWOhoiILiYUCmPD5l3QaPXQm+xYs2YNcnJy1A6LkgATyrPIxcpd9L7di8oPVcJ32hf3+uxMN/7y6//E17/4LPT6y3s3Sq/X4R+/9Gn8+df/gexMd9zzfKd9qPxQJXo39MJ5u3Pcc9ZtZHM+IkpNiqJgw5ZdCIYlGK1OLF68GAsWxN8BQkRENFPMmTMHgkYLQdCgraNL7XCIiOgidu59D/0DQzDaXCgsLMSqVavUDomSBBPKs8jLL7887vG+bX2o/2Y9ZK8c99o7b12FbW/+FjfduHRKYrn5xmXY+uYLuGPNyrjnyF4Z9d+oR//2/nEfX7dx+5TEQkQ02xw9WYmGplYYrS44nOm499571Q6JiIhoQvLz8yEIArR6I1rbO9UOh4iI4qhraMaxk5UwWJ0wmixYu3YtNBqmAWlq8H/SLNHQ0IBDhw6N+9jg7viN9wx6Pb7zjS/gtz/7Htwu55TGlOFKx+9+/u/4znNfgEGvj3tevPiOnaxEc2v7lMZERDTT9fYNYNe770FvtEFnMOHhhx+G2WxWOywiIqIJSUtLg8PhgEZnQHtHF2Q5/qIWIiJShz8QxDtbd0OrN0FntOKuu+6C2x1/lznRZDGhPEu8+uqrk76mvLQIG17+JT71V49PW5MnQRDwqY88jrf/8gvMLSmc9PVvb2LZCyJKHbIsY8OWnZBkwGB1YPny5SgrK1M7LCIioknJysqCRqtHKCzC441fco+IiNSxdedeeH1+GK3pKC8vx7Jly9QOiZIME8qzRLz6yfEsXbII77zyf1g4v3yaIhpr0VXzsPHVX+HpDzwwqevWb9oxPQEREc1ABw6fQGt7F4w2F9zuDNx5551qh0RERDRp/f39UGQRWo0GVgt32RARzSSV1bWorK6F0ZoOi9WGhx56aNoWGVLqYkJ5FmhtbcXevXsndK7RaMRD992JZz76RMIHd1aLGT/616/j5z/+Z9ht1gldc/DISXR0dk9zZERE6uvo7MbeA0dgMNuhM5jwyCOPwGAwqB0WERHRpIiiiJ6eHshiGG6XE1qtVu2QiIhomMfjxZYde6EzmKE1WHD//fcjLS1N7bAoCTGhPAu89tprUBTlkuddc801ePbZZzGvrAiZGa4ERDa+tffdga1vvIClSxZe8lxFUfD25l0JiIqISD2iKEZ+1ml00JsduOmmm1BQUKB2WERERJPW2dkJWZYhS2FV5xxERDSWoijYuG0PgqEwjNZ0LFq0CIsWLVI7LEpSTCjPApcqdyEIAr7xjW/g3//93+FIs0NRZGSpPLgrzM/F6y/+FF/49EcvubWCZS+IKNnt2X8Y3b19MNpcyM3NxZo1a9QOiYiI6LJ0dHRAURTIYhhZGWzwREQ0U5w4XYXahmYYbS7Y0xy4//77WeqCpg0TyjOcoijYs2dP3Mfz8vKwdetW/Mu//Au6u7shS2EAmBGrBfR6Hb72xWfwl9/8J3KyMuKed/DwiQmtwCYimo2aWtpx6NhpGCwOGIxmPPLII9weTEREs1ZHRwcUWYQCBZkZ6WqHQ0REAPoHBrFjzwHojVboDGY8/PDDsFgsaodFSYwJ5RlOFMW47yg99NBDOH78OG699VYAiCaUjQY90uy2RIZ5UTetWIqtb7yAu25dFfccUZQSGBERUWIEQyG8s2UXNFo99CY7brvtNmRnZ6sdFhER0WXr7u6GLEYWsWS4mFAmIlKbLMt4e/MuiBJgsDqxdOlSlJeXqx0WJTkmlGc4vV6PT37yk2OOGY1G/Pd//zdef/11ZGRcWPkryzKgADqdbsZta3C7nHjhZ9/Dv37zizC+rwnV048/CL1ep1JkRETTZ+eegxgY8sBoc6OoqAg33nij2iERERFdEVmWo3/W6/UqRkJERABw6OgptLR1wGhzweVy46677lI7JEoBzOLNAv/1X/+FoqIibN++HQUFBfjiF7+IBQsWxD1/ppaPEAQBn/zwB3DTiqX4xW/+hNa2Tqy84Tr8zSc+qHZoRERT7nxdI46froLRmg6T2YJHHnkEGg3fxyUiotlt9MIVBTNz3kFElCq6unuxZ/9h6E126AwmrF27FkajUe2wKAUwoTwL6HQ6fPWrX8VXv/rVi54nCAIgADN9XFcxtwQ//M7X1A6DiGja+PwBbNy2B1q9CTqjFXfffTfS07ktmIiIZr8xCeUZupCFiCgVSJKEtzfvhCJoYbA4sHLlShQVFakdFqUILpVKIiODO47riIjUoygKNm9/Fz5/EEabC/PmzcN1112ndlhERERERJRE9h48is7uXhhtLmRnZ0f7axElAhPKSYgrBYiI1HO2uhbV5+thtKbDarXhoYcemnF17YmIiC7X2BXKKgZCRJTCWto6cODwCRgsDhiMZjz66KPQ6ViEgBKHCeUkotVqIUBAOBzG4JBH7XCIiFLOkMeLLTv3QmewQGe04IEHHoDdblc7LCIioimj0WiA4aRyT2+fytEQEaWeUCiMDZt3QaPVQ2+yY82aNcjJyVE7LEoxTCgnkbKyMuiMVsgQsG3XfrXDISJKKZIk4a13tiMYlmC0OnH11Vdj4cKFaodFREQ0pebOnQut3gSNVo+tO/dBlmW1QyIiShmKomDLzr3oHxiC0eZCQUEBVq1apXZYlIKYUE4ia9asgT0tDUaLE+dqG3DufIPaIRERpYzd+w6hpa0DJpsbDmc67rvvPrVDIiIimnJLly5Fbm4ujDYXOrt7cfjYabVDIiJKGcdPncXpszUw2NJhMlvxyCOPRHaOECUY/9clEZPJhHvuuQdagxlavQnbdu9DKBRWOywi+ANBtHd0IRgKqR0K0bSoqqnDe0dPwWhxwmCy4IknnoDZbFY7LCIioimn0Wjw4IMPQqc3Qm+y4d0DR1huj2aEUCiMjs5u+PwBtUMhmhZtHV3Ytms/9CYb9EYrHnroIbjdbrXDohTFit1JZuHChTh69CjOVUsY6m/HuweO4Nabb1A7LEohHo8XHV096OzuRUdXNzo7ezAwPMnQabUoKshDeVkxykoKYTGbVI6W6Mr19PZj49bd0BnM0JlsuPvuu5Gfn692WERERNNmzpw5WL58OQ7s3w/fgB9bd+7D2vvvYBNaShifP4Cu7h50dPYMzz160Nc/CEVRIAgC8vOyMa+sGHNLi5Bmt6kdLtEV8/kDeHPDVkCjg8HixIoVK7Bo0SK1w6IUJigKe/Mmm97eXvz0pz+Fb6gXYf8g/uqJh5CdlaF2WJTEBoc8OHayEh2dPahvagEACIIGGp0eGq0BWp0eglYHKRyCFPJDEoMQBAErll6DVSuu4+SDZq1QKIzf/+Ut9A4MwZyWjcXXXINHH32U/6eJiCjpBQIB/M///A/6ujsQ8PTg4ftux7yyYrXDoiTmDwRx5Php9PT2o6qmDgAgCAI0Wj00OsPwZz1kMQwx5IcUjqxUXlBRhnvvuIVlAWjWkmUZr7y5CQ3NbTA7slFUXIKPfexj0Gq1aodGKYwrlJOQy+XC6tWrsWXLFohBHzbv2IunP/AAf4HSlOsfGMTBwydwqvIcZAXQm2ww2dzQ6AwQNFoIggCDwYCcnBw4nU7U1dVhaGgIsixBDHiw79AxmM1GLF3Cd1Zp9lEUBZu270FPXz/MadnIzsnBgw8+yGQyERGlhJFye3/+85+h05uwbdd+FBXkwWgwqB0aJRmvz4/Dx07h2MlKhEIidEbL8JxDD0GjgyAI0Ol0yMrKQkZGBlpaWtDT0wNFliGGfDhTdR5GowF3rF6p9kshuiz73juG+qYWmNMyYU9z4PHHH2cymVTHhHKSWrlyJU6cOIF2MYS2jk4cO3UW1y1eoHZYNAuJooghjw+DQx4MeTwYHPLC4/Gif3AITc1tUCBAb7bDZLRB0GhQWlqK3Nzc6IfL5Yom2BRFQUtLC06dOoX9+/dDURRs33MQ6U4HSosLEvaa/IEgmlva0dHVDZfTgfKyYuj1/HFIk3P0ZCUqq2thsrlhttrwxBNPwMBJNBERpZAFCxZg3rx5qDorwdPfjnf3H8Ftt6xQOyyahSRJgsfrw+CQF0NDHgx5vBj0RP7c2NwGUZKgM9pgTrdDo9EiNzcXhYWF0TlHRkZGNMGmKAq6urpw5swZ7N69GwBw9EQlXOnOhM6JQ6EwWto60NbRBavFjIryEpiMxoQ9PyWH2vom7HvvGAxmB3QGMz7wgQ8gLS1N7bCIWPIimTU0NODXv/41gp5eaJQQPvGhx2CzWdUOi2aY/oFBNLe2IxQKIxwW4fX5MejxYGjIiyGPF16ff8z5gqCBoNFCo9VBqzNCZ7LCZDLj+uuvx4oVK2C1Tuz/2LZt27Bz504Eh7qhFSSsuuE6WK0WWMxmWC1mWCxmmIyGKVntOZJAbmppQ1NLG7p6+iL11TRaKLIEk9GIRVeVY/HCCrhdzit+Pkp+re2d+OMr66ExWGC0puOJJ57AggV8046IiFJPX18ffvrTn8I72MNyexSXx+NFU0s7/MEgxLAIn98fXagy6PHC4/VhdGpCEAQIGh00Gi00OgP0Jht0egOuvfZa3HTTTXA6nRN63mPHjuH1119H0NsHKejFyhuugzPNDsvwfMNiNsFsMk7Jbt5QKIzW9g40tbSjqbkNbR1dkBUFgqCBosjQ63S4al4prlk0HznZmVf8fJT8BgaH8Ns/vgFRFmC0Z+DOO+/ETTfdpHZYRACYUE56b775Jg4feg++/naUFefjnjtugdnEd0VTmSzLaOvowvm6RtTUNaKntx8AIEAABAGCRhMdvAnDHxqtLvpnQbgw2LJYLLj++utxww03wGw2TyoORVHwl7/8BadPn0JgsAuSGIo5RyMIsFiGE8xmMywWEyxmE6wWy/CfzcNfm2E2m6KrEgLBkQRyJInc2d0LRVEiA1K9EVqdCVq9ERqtDrIURjjghRj0QlFkFObn4ppF81FeWsRtRDQur8+P3/3pDfgCYZjSsrBq1SrcddddaodFRESkmj179mDz5s3wD3Qgy+3AI/ffwYUsKU5RFHR19+J8fRPO1zWiraMLwMicAxAELQTt8FxDc2GuceHPF+YcBkMkkbxq1arLWpm5ZcsW7N69G0FPD6RQAArGpkAEQYDFbIrON6JzD7Np1FzEFE1A63SRnY3hsBhJIDe3o7G5dUwCWas3QquPzDkEjQ6KIkMMeCEGPZBlCTlZGbhm0XzMLy+FwaC/gr9pSlaiKOKlV9ajs7sPZkc2rlqwEE8++STL69GMwYRykvP5fPjv//5vDPZ1I+DpgVajQWlxAebPK0VZcSG3+aeIUCiM+qYWnK9rRG19E3z+QGSgYzBBpzdDqzeNGbQBkYGV3W5HWloaHA7HmI+RYxaL5Yp+oYXDYfz2t79FU1NTZEWCokBRJCiyDEWWoCjDn8f8WY6cM86PLpPRCJPRgIEhT3QFslZvhFYXGdBptJEaazk5OSguLkZeXh5qampw+vRphMNhSCEfwgEvJDEIi9mExQsrUDG3BDpd5DpBGF4tMfIx6u8Ko4+PnAdh3Oui19CsI8syXn5zIxqb22F2ZKOktAwf+chH+OYDERGlNEmS8Pzzz6OtpQn+wU4IgoDC/FxcNa8M5WVF3OafIkRRRFNLO87XN+J8XSMGh7wQBCGSWDWYodObIGhix0xWqzVmvjF6zmGz2a5o7KwoCl555RWcOnVqeA6hjJ1XxMw9Rh1X5Jj7mYwGmE0mDA55IMny2ASyzghheM6RkZGB4uJiFBYWorm5GcePH0cgEIAUDkAMeCCGAzAa9Fgwfy4WVMyFyWiMmTsAiM47JjrniF4z6h40+2zatgcnTlfD5MhCZlYOnnnmGZhMJrXDIopiQjkFnD59Gi+//DIkSYQU9EEM+SCJIRj0OpSXFeOqeWUoKshj074kMzjkwfm6yIqAxuZWSLIMjVYHncEMrd4c6YSs0SA/Px/z5s2Dw+GAXq+HxWKBw+GA3W5PSJJMURTU19djYGAAXq83+uHxeMZ8Lcvy+66T4wwCI69zZDWARqNBdnY2iouLUVxcjKKiopjV1D6fD8ePH8ehQ4fQ09MDWQwjHPQMr1qenh+RgiDAZDQOl/e4sBLCajHDajWPKf1hGbX6Wk0+fwDdPX1wpztgtVrUDkcVe/YdjjSTTMuEIz0Dzz77LOx2u9phERERqa65uRkvvPACQsEAxJA/MucIByMLWkoKcNW8MpQWFXBBS5Lx+vyoa2hCTV0jGhpbEAqL0Gi00A7PObT6SJI0OzsbFRUVyMjIgE6ng9lsjiaNR1b8TqeRXi69vb3jzjVGvpYkKea6eMlmjVYLrc4UTSC73W6UlJRE5x02m23MvUKhEE6dOoVDhw6htbUVsiRCDHoRDnjGTVxPFZPRGDPfGL3yOlJ2MPJ4Iv4tLiUYCqGruxd2mxWOtNQcZ5+qrMaGLbthtKbDbHPiU5/6FHJyctQOi2gMJpRTRHt7O44dO4ZTp07B4/FAlsIQh5PLsiTCYjahorwEV80rQ15OFt/JnIUURUF7ZzfO10VWBHR29wIAtHpjZBWywQyNVgeDwYCysjJUVFSgvLx8wjWP1aQoCvx+f9xk8+ivfT4fnE4niouLUVJSMm4C+WLPU19fj0OHDqGyshKSJEIWwyOPjjpv7NdjHo/5iTpqU937rrswIJ3ISgjjcKJ5uOSH2RSTeLaO2oYnyzICwRCCwRCCwSCCoRBEUUJ2pjtmC6qiKOjp64cAAXabFQaDHsFQCB2dPWjv6EJ7ZzfaO7owMOSJxvLE2numpD6iLMvo7ulDS1snWts70NrWicEhD2w2C+w2G9LskYGk3WZFmt2GtDQb0mw2VbYGnq9rxKvrNsNgccBkdeKjH/0oioqKEh4HERHRTNXb24vjx4/j5MmT6O3thSxLEIM+SMMLWowGPeaWFnFByyw2Mm48XxuZc7R2dEFRFGh1huEksgkarR46nQ4lJSWYN28e5s2bN+Gax2pSFAXBYPCS8w2PxwOfzwer1RpNHhcXF09qkUFraysOHTqEkydPIhQKQY6W/7vUnGP42GTmHOOtvB5Okr+f0aAfXtAydo4RTUaPmo/o9ZE5RzAUjsw3giEEgiGEw2G4XelId8aWJ+kfGERYlGC3WWA0GCCKErp6eqNzjraOLvT1D0b+T2k0ePi+21FWUjjRv9a4FEVBX/8gWts70NLagZb2TvT1DcBiMSPNboXdZoMjzQa73Ya0UfMOo2FqevpMRmdXD37/l7cg6Eww2lxYu3YtlixZktAYiCaCCeUUI8sy6uvrcfLkSVRWVsLv949JLiuyBIfdhqsqyjB/Xhky3elqh0wXEQ6LaGhqQW19E87XN8Hj9Q1vuTINr0SOlLJIS0tDRUUFKioqUFxcPCPeeZ7pPB4Pjh8/jq6uyCB5vA8AcR+71Icsy/D5fPB4PBBFccxzx66EGG9VRPzks16nQ/h99xwtw5WOooI8FObnorO7F2fO1qBvYDD6uNGgRygsRsqGCAI0WgM0OgO0OgMErQ4hbx8UKTJQzMp0IdPtQmZGOjIz3LBaLp68DwSDaO/oiiSQ2zrR1tGJYCiStNfqIs+j0eqgyBJkaeR1ipDlsatFTEZjNNlcmJ+LJVdfNa2T0v6BQfzuT29AlDUw2jNw9913Y+XKldP2fERERLOZoihobW3FyZMnYxe0BH2QZS5omU0kSUJza0d04Ur/4BAECNAaTNFyFhqNFhaLJZpALisrg5GlTi4pEAjg5MmTkRXLsjxlc42R60fmHF6vF6HQ2J41kfPizDdk6ZLJZ51WC/F9K7pHc6bZUVSQh6LCOfB4vDhVeS666AkADHodRFGCPByrVmeIzjs0Oj3C/kFI4QDSnWnIdLtGzTtcsNusF/2ZEQ6LaO/sRmtbB1rbO9HS1gl/IAAA0Gj1w/MOPRRZhiyLkdcoSZDlsXMoo0EfXeSSm5OFZUsWTevClkAwiBf/9CYGPH6YHVlYtmw5HnzwwWl7PqIrwYRyChNFEefOncPJkydRXV2NcDgMWQwOJ5f9UBQZGa50XFVRiqvmlaXsdpOZxuPx4nx9E2rrm9DQ1IqwKEKj0UXqkhlM0Ogi28ry8vKiSeTs7GwO0mcoRVEQCoXg8XiiKx8u9jkcDsdcP2YgKMuAIg/XV9NEamMLmmgzRVkMReq2hQNQZClS185ghs4QGZSNJG8FQRtNIAuCAL1ej9zcXASDQbS3tUZ2N4hhyFIYshiOromwWsxjBnzp6Q709vVHE8jdvX3DiWpNZCA3XONao9NDEDTQ6XRwuVzRlR9jXufwa7ww6IvEKoUDmJOThfvuWg2nY/KNWi4lHBbx0ivr0NUzALMjGwsWLsQTTzzB7ykiIqIJGL2g5cyZMwgEAlzQMgv4A0HUNzSjpq4R9Y3NCARDEDRa6IYTyJFSFhpkZmaioqIC8+bNQ35+Pledz2ChUOiSc42RPweDwTHXjp1zRBa4QB5vziEAgiY655BCgWiSVmcwQ2e0QBC0w2P6yFwksqBEH5mXaLXIzs6GVqtFY2MjxKA3Ot+QpVA0UW4yGiMLWtwuZGW64XY5MTjkQWtbJ1rbO9HR2T3cIFEYXhhjjH4WNBpoNBq43W4EAgEMDQ3Fvk5JjJl3SOEgnE47Hrz71inZqfl+iqLg9fVbcL6+CWZHDvILCvGJT3yCi8FoxmJCmQAAwWAQZ8+excmTJ3H+/HnIshxJOgV9kEJ+KFCQm52JspJCzC0tQobLyWRKgox0SK4Zbqg30iFZqzNGmuoZzNFtZaWlpdEBHeu6JqeR5PPFBoOBQABGoxEmk2nMx0hJj5aWlsgKCFkc7qatRUlJCWw2GwYHBzE4OAiTyYS8vDzMmTMHeXl5yMzMhEajQTAYxPbt23H+/PlIvemRlRSyOCrBHIp8HrWqWKPVXRjIDde3Hmn8WFBQgMLCQhQUFCAnJydaLzocDmNgYAADAwPo7++P+fPg4ODwz6oggp4e6HUa3LlmFa6qKJvSv/ONW3fj5JlzMDmykJWdi2eeeYYrboiIiC7DRBa0uF1OlJcWoaykELnZmZxzJFBv3wBq65tQU9eAltYOyIoSmWcYRsrn6aHValFUVBSdc7hcLrXDpmkQDocvmXz2+/0wGAwxcw6NRoOmpiY0NjZCkiTIkhhpEKjRYs6cOcjIyMDQ0BAGBweh1WqRm5sbnXNkZ2dDp9NBkiTs3r0bVVVV6OzshCRJ0QUmoxPMshges6pYo9FF5xujE9VmsxkFBQXReUdeXh70+shKY1EUMTg4GDPnGP115HWEERjqgaBIuPnGZVh27aIp/fl04NBx7Np3CCZ7BuwOF5599tlZUSqGUhcTyhTD4/HgzJkzOHnyJJqamqAoMqSQH2LIDykcgKIocKbZMXd4oJefl813oqfYSIfkSBI5fodkm82GefPmoaKiAqWlpdFfikQX4/f7UVdXh+bmZthsNixatAhpaZNf2SuKIrq6utDR0YH29nZ0dHSgo6MjurI4soUsDI1GN5y4jjRIHBnMFRQUwOFwXPZATJZlNDc347XXXkNvTw+C3j6IIR8WXVWO225ZAaPBcFn3He3E6Sps3LYHRqsLFrsTf/3Xf42srKwrvi8REVGqCwQC0QUttbW1Fxa0hHyQQgEoigyb1YKy4gLMLS1CYX4uV+pNMVmW0dLWidr6RtTUNaK3bwACBGj0xmj5PI1WB5PJhPLyclRUVGDu3LkwmUxqh06zQCgUQkNDAxoaGqDX67Fw4UJkZEx+Za8kSejp6YnONUbmHSMrixVFjiSthxfKAEBmZuaYOYfb7b7sOYeiKOjq6sLrr7+OlpYWhHwDCAeGUFwwB/fdecuUNCtvaGrFX954B3qTHUarEx/60Icwd+7cK74v0XRiQpkuqq+vD6dOncKpU6fQ0dEBRVGGt674o6sIzCYTSovzMbe0CMUFc1RplpUMJtohOScnJ5pEzsvL46oNmlEURYHH44kO9np7e+F0OlFQUIA5c+bAMAVJ3vcLBoNYv349jh8/DjHkQ8jbB2eaHfffvQa52ZmXfd+Ozm784eV10YYYjz76KBYvXjyFkRMREREQWdBy+vRpnDp1Cs3NzZBlGbIYiixoCfkhyyIMeh2KC/Mxt7QQpcWFMJu4W+hyBEMh1DU0R3qw1DUhEAxGyo4ZzNGayIKggcvlipbPKygoiO4gI5opfD5fNMnc1dUFi8WCwsJC5OfnT7gp+2RIkoRt27bh3XffhRgKIOjpgdlkwD2333xFjQOHPF789o+vIygqMNkzceutt2LNmjVTFzjRNGFCmSasr68PVVVVqKqqQkNDQ2TbhxiCFI4kl2VJhE6rRVFBXmT1cnHBlLxbN9tIkoRjJyvRNzCIovw5KCrIGzfJrigKunv7UVuXfB2SidRw4sQJrF+/Hn6fB0FPLxQpjJtWLMX1SxdP+o0XfyCIF//0BoZ8QZjSsnD99dfj/vvvn6bIiYiIaITH40F1dTXOnj2L2tpahMNhKJIIMRxJLktiCBpBwJy87GhpjOnooTDTKYqCM1U1aGnrRH5uNkqKC+Im2QcGh4Yb6jWhqaUNkiwPl7IwQas3R0oDaDQoKCiIJpGvZEUnUTKrra3Fa6+9hsGBfgQ9vRDDAVy3eAFWr1o+6V0UkiThT6++jdbOHlgc2SifV4Gnn36aO8BpVmBCmS6L3+/HuXPncPbsWdTU1CAUitRMjawiCEASg5HGcKPqLrtdTrXDnna9fQPYsGUnWtu7oNHoIMuRJHthfi5KiwtRUjRneEDXxA7JRNOgr68Pr7zyCpqamhD2DyDkH0Jhfi7uu3M17DbrhO6hKApeW7cZtQ0tMDuyUVBYhI9//OPcZktERJRgoVAI58+fR1VVFaqrq+Hz+SINeUeV4wOATLcLc0sKMbe0ENlZGUmfCPX6/Ni0bQ9q6hqh0eogSyI0goC83GzMLSlEaXEBgqFQNInc1dMLANDqTdGmehqtDkajEWVlZaioqEB5eTksltRbDER0OXw+H9544w2cPXsWYsCDkG8AGe503H/3mkk1Ft22az8OHz8Nc1oWXBlZePbZZ/l9SLMGE8p0xURRRF1dXXT18tDQEBRZghgKQApHEswKFKQ706KrCPJyspLqXTdFUXDyTDW2794PUQKMNhe0euNwkn347yF8oVPu2A7JJgiCEO2QXFFRgTlz5iTV3w9RIkmShJ07d2L37t0QQ34EPL0w6nW45/abUV5WdMnr9713DHv2H4bJnoE0pxvPPvssHA5HAiInIiKieGRZRlNTE86ePYuqqir09vZCidZd9kMK+6EoCuw2K8pKClFeWoiCOblJV6rhfF0j3tm6G/5ACEabCzqDGbIkRssSSuEgFESm+IKgiTTx1g/POTQaOJ3OaPm84uLipPv7IUoURVFw6NAhbNy4EcGAD0FPDzRQsOamG7Dk6vmXfGOrsroW6zZuh9HqhMnqxCc+8QnMmTMnQdETXTkmlGlKKYqC1tbW6ECvs7Mz0tQvHBxTd9liNqGsOLKKoKhgDvT62bvyz+vzY/P2d3GutgF6oxUGqxNudwZuueUWNDc3o7q6GoODg9EBr6DVsUMyUQLU19fj1VdfxUB/33DDPj+WXH0V1qy6Pu7PnPrGZrz85qZoQ4wPf/jDKCsrS3DkREREdDEjTbKqqqpw9uxZtLS0QFEUyGJwVN1lCUaDHiVFBZhbUoiS4nyYZvGuv3BYxI53D+LYyUro9CYYbC7Y7Wm47bbb0NPTg6qqKvT09ETnXoKgiZaymDNnTjSJnJWVlfQruIkSqbOzEy+//DI6OtoR8g4gHPRgbkkh7r79ZljM4zew7O7tw+///CZkwQCjzYUHH3wQy5YtS3DkRFeGCWWaVr29vdHkcmNj49gGG+FI3WW9TofiwjkoG96eZbVMfQH96VJb34R3tu6Gzx+E0ZYOncGCpUuX4u677442H1MUBe3t7aiurkZDQwOsVis7JBMliN/vx5tvvokzZ85ADHoR8vbD5XLgwbtvRWbG2DdxBoc8+O0f30BIAkz2DNx++9700yMAAAqsSURBVO245ZZbVIqciIiIJmpoaCi6W7K2thaiKEKWwtEFLbIUhkYQUJCfi7mlRZhbUog0u03tsCesvaML6zfvRF/fIAxWJ3TGyHzioYcegs124XWMJJZra2uh1+tRXl6OefPmjTmHiKZeOBzG5s2bcfDgQYghH4KePlgtJtx352oUFeSNOTcYCuHFP7+J/kEvzI5sLFlyLdauXcs3emjWYUKZEsbn80UbbJw/fx7hcHhU3eVIgw1BEJCXkxUtjeFKn5nbzMNhETv3HsTRE5XQ6k0w2lyw2ex4+OGHUVFRoXZ4RDSKoig4cuQI3nnnHQT9PgQ8PdBAxupVy3Ht4gUQBAGSJOGPr65He2cvzI5szKuYj6effpoDOyIiolkmGAzi/PnzOHv2LM6dOwe/3z9cEsI/XIouUnc5O9M9XBqjCJkZrhn5O1+WZRw8cgLv7j8CQauH0eaC0WTB3XffjaVLl87ImIlSWXV1NV5//XV4hgYR9PZCFkO4/rqrseqG66DVaqEoCt56Zzuqz9fD7MhGbl4+PvWpT0Gv16sdOtGkMaFMqgiHw6itrY2uJPB6vdEGG6Nrf7ldzmhyOTc7c0YMmjo6u7Fu044xKwTmzZuHhx9+mO/+E81g3d3dePnll9HW1oaQrx/hgAelRfm45/ab8e6BIzh+ugpmRxbcGdl49tlnYTbPnt0SREREFEuSJDQ2NkZLY/T3949bd9lhtw03Ei9Efl7OjKgr3D8wiLc370JLWwcM5jTozWnIz8/Ho48+CrfbrXZ4RBTH0NAQXnvttcgiusAQQr4B5GRl4P671uDc+Xrs2ncIJpsb1rR0PPPMM/x+plmLCWVSnSzLaGlpiZbG6O7ujtT+CgUgjjT1U2SYjAZkuF3IynAhK9ONrAwX3C4ndLrE1F8evUIAGh1MNjeMZgvuuusuLFu2bEYku4no4kRRxNatW7Fv3z6IIT+Cnl4oigwAMFrTYbY58clPfhK5ubkqR0pERERTSVEUdHR0RJPLbW1tUBQl0uslPNzrRZag1+mQmZGOzIzIfCMzw4VMtwsGQ2JWECqKgtNnz2Hbrv0IizKMNjd0BhNuueUW3HLLLTMi2U1EF6coCvbt24etW7ciFPQhONQLWRYBINqr5YMf/CDmz5+vcqREl48JZZpxuru7owO95ubmaN1lSQxCFkOQxXD0h7FGEOB2pSMrMzLQy8p0ITPDHbf4/eUaGBzC+k07h1cI2KE3O5CXl4fHHnsMGRkZU/pcRDT9ampq8Nprr2FoaBBiwAOt3git3oS1a9diyZIlaodHRERE02xgYCC6W7Kurg6SJEXqLocDkKVwZM4hhQEAgiDA6bAjK8ONrExX5HOGC1arZUoXlfj8AWze/i6qz9dDZ7TAaEmHy+3Go48+ioKCgil7HiJKjNbWVrzyyivo7upCOOCBRquD1mDG6tWrcdttt6kdHtEVYUKZZjSPx4Pq6mpUV1ejtbUVg4ODAABFkaODPFkMRQd9CiL/ne02a2Qlc4YbmcODPqfDPukBn6IoOFNVg607941ZIXDTTTdhzZo1XCFANIt5PB5s3LgRtbW1cDgcuPPOO1FSUqJ2WERERJRggUAANTU1qKqqQnNzM/r6+gBE5gLvn2/IUggjU2iL2RSZb2SkD8873HCnO6DRaCYdQ31jMzZs2Q2vLwCjNR06owXXXnst7rnnHhiNxil9vUSUOKFQCFu2bEFlZSVMpshug0WLFnGHM816TCjTrOLz+dDe3o729nZ0dHSgvb0dXV1dkGUZiqJAkcXoQE8aTjgrsgQAMOh1yHS7kDlcLiMr040MVzr0+vFLZvgDQWze/i6qauqiKwTSXS48+uijKCwsTOTLJiIiIiKiBAkGg9G5xshHZ2cnRFEcnnNIkKXQ2AUuw3MOnVaLDHd6pFxG5oWyGUaDYdznEkURu/YewuHjp6HVG2G0umC12fHggw9iwYIFiXzZREREE8aEMs16oiiiq6trzICvvb0dwWAQACDLUjTJHP0sRUpmCIIAV7ojupp5pHRGd28fNmzZDY/XB6PVBZ3RgmuuuQb33nsvTKapLadBREREREQzmyzL6O7uHrO4pa2tDT6fDwCGk8yRVczSqGTzCGeaPbpzcmRxSyAQxPpNO9HT2w+DxQGdyYa5c+fi4YcfRlpamlovlYiI6JKYUKakpCgK+vv7Y1YW9Pf3Dz8uj6mNNrKNbfS3w+gVAg888AAWLlyo0qshIiIiIqKZRlEUeDyemIUtvb29kZXMIyUzRpXLkMVwtCEwAGi0ehhtLhhNFtxxxx244YYbuBWeiIhmPCaUKaX4/f6YJHNXVxckSRpTMkOBAp3BgrKyMqxdu5YrBIiIiIiIaEJCoRA6OjrGzDs6OjoQDodHlcyIlObTGa3Izc3Fo48+iqysLLVDJyIimhAmlCnlSZI0Zvtae3s7QqEQFi9ejOuvv54rBIiIiIiI6IrIsoze3t4xcw6Px4N58+bhlltugU43fl8XIiKimYgJZSIiIiIiIiIiIiKaEI3aARARERERERERERHR7MCEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQhTCgTERERERERERER0YQwoUxEREREREREREREE8KEMhERERERERERERFNCBPKRERERERERERERDQh/z+Duc/kv1RJoAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 505,
       "width": 714
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axarr = plt.subplots(1, 2, figsize=(12, 6))\n",
    "fig.subplots_adjust(wspace=-0.25)\n",
    "for i, m in enumerate([pdispersion, pdispersion_pre]):\n",
    "    plot_results(m, P_FACILITIES, facility_points, ax=axarr[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When stipulating that $y_{5}$ and $y_{10}$ must be included in the solution a similar triangulated spatial arrangement is observed to satisfy the $p$-dispersion objective: maximizing the interfacilty distance.\n",
    "\n",
    "----------------------------------------\n",
    "\n",
    "## Evaluating available solvers\n",
    "\n",
    "First we'll determine which solvers are installed locally."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:02.534481Z",
     "start_time": "2022-12-29T02:18:02.494718Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:24.614150Z",
     "iopub.status.busy": "2023-12-10T18:43:24.613726Z",
     "iopub.status.idle": "2023-12-10T18:43:24.668774Z",
     "shell.execute_reply": "2023-12-10T18:43:24.667730Z",
     "shell.execute_reply.started": "2023-12-10T18:43:24.614124Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GUROBI error: \n",
      "Failed to set up a license\n",
      "\n",
      "Error 10009: License expired 2022-08-07\n",
      "\n",
      "\n",
      ".\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['GLPK_CMD', 'CPLEX_CMD', 'PULP_CBC_CMD', 'COIN_CMD', 'SCIP_CMD', 'HiGHS_CMD']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with warnings.catch_warnings(record=True) as w:\n",
    "    solvers = pulp.listSolvers(onlyAvailable=True)\n",
    "for _w in w:\n",
    "    print(_w.message)\n",
    "solvers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above we can see that it returns a list with different solvers that are available. So, it's up to the user to choose the best solver that fits the model. Let's get the percentage as a metric to evaluate which solver is the best or improves the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:02.549809Z",
     "start_time": "2022-12-29T02:18:02.538144Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:24.671165Z",
     "iopub.status.busy": "2023-12-10T18:43:24.670490Z",
     "iopub.status.idle": "2023-12-10T18:43:24.683235Z",
     "shell.execute_reply": "2023-12-10T18:43:24.682453Z",
     "shell.execute_reply.started": "2023-12-10T18:43:24.671134Z"
    }
   },
   "outputs": [],
   "source": [
    "pdispersion = PDispersion.from_geodataframe(\n",
    "    facility_points, \"geometry\", P_FACILITIES, distance_metric=\"euclidean\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-12-29T02:18:03.020575Z",
     "start_time": "2022-12-29T02:18:02.552612Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-10T18:43:24.684784Z",
     "iopub.status.busy": "2023-12-10T18:43:24.684360Z",
     "iopub.status.idle": "2023-12-10T18:43:25.287345Z",
     "shell.execute_reply": "2023-12-10T18:43:25.286192Z",
     "shell.execute_reply.started": "2023-12-10T18:43:24.684757Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HiGHS_CMD does not currently allow maximization, we will minimize the inverse of the objective function.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MaxMinMin</th>\n",
       "      <th>Solve Time (sec.)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GLPK_CMD</th>\n",
       "      <td>10164.5</td>\n",
       "      <td>0.031998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPLEX_CMD</th>\n",
       "      <td>10164.494501</td>\n",
       "      <td>0.051266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PULP_CBC_CMD</th>\n",
       "      <td>10164.495</td>\n",
       "      <td>0.077388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COIN_CMD</th>\n",
       "      <td>10164.495</td>\n",
       "      <td>0.138758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCIP_CMD</th>\n",
       "      <td>10164.494501</td>\n",
       "      <td>0.215406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HiGHS_CMD</th>\n",
       "      <td>10164.494501</td>\n",
       "      <td>0.068443</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 MaxMinMin Solve Time (sec.)\n",
       "GLPK_CMD           10164.5          0.031998\n",
       "CPLEX_CMD     10164.494501          0.051266\n",
       "PULP_CBC_CMD     10164.495          0.077388\n",
       "COIN_CMD         10164.495          0.138758\n",
       "SCIP_CMD      10164.494501          0.215406\n",
       "HiGHS_CMD     10164.494501          0.068443"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = pandas.DataFrame(\n",
    "    columns=[\"MaxMinMin\", \"Solve Time (sec.)\"], index=solvers\n",
    ")\n",
    "for solver in solvers:\n",
    "    _solver = pulp.get_solver(solver, msg=False)\n",
    "    if _solver.name == \"HiGHS_CMD\":\n",
    "        # HiGHS doesn't directly support maximization\n",
    "        with warnings.catch_warnings(record=True) as w:\n",
    "            _pdispersion = pdispersion.solve(_solver)\n",
    "        print(w[0].message)\n",
    "    else:\n",
    "        _pdispersion = pdispersion.solve(_solver)\n",
    "    results.loc[solver] = [\n",
    "        _pdispersion.problem.objective.value(), _pdispersion.problem.solutionTime\n",
    "    ]\n",
    "results"
   ]
  },
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   "metadata": {},
   "source": [
    "----------------"
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