{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c3a22877",
   "metadata": {},
   "source": [
    "# 04: Modelgrid and intersection\n",
    "\n",
    "The first part of this notebook is focused on the `flopy.discretization.Grid` (modelgrid) object(s). The modelgrid object(s) are a relatively new addition to FloPy's capabilities and are the backbone of plotting, exporting, and GIS data processing within FloPy. These objects are automatically created when a model is loaded. Alternatively they can also be created as a stand alone object. \n",
    "\n",
    "There are three types of modelgrids:\n",
    "\n",
    "* `StructuredGrid`: the StructuredGrid object is created for rectilinear grids. i.e. models that use a DIS file for discretization\n",
    "* `VertexGrid`: the VertexGrid object is for discretizations that are defined by vertices (e.g., DISV packages)\n",
    "* `UnstructuredGrid`: the UnstructuredGrid object is for unstructured discretizations (e.g., DISU and MODFLOW-USG)\n",
    "\n",
    "These objects all have a common interface defined by the base `Grid` class. What this means for the user is if they want to get the cell center coordinates from a modelgrid, the function call is identical on all three grids.\n",
    "\n",
    "The best way to learn about these classes is by checking them out. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "72833c87",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:36.939727Z",
     "iopub.status.busy": "2025-04-27T15:59:36.939600Z",
     "iopub.status.idle": "2025-04-27T15:59:37.805401Z",
     "shell.execute_reply": "2025-04-27T15:59:37.805121Z",
     "shell.execute_reply.started": "2025-04-27T15:59:36.939715Z"
    }
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import flopy\n",
    "from flopy.utils.gridgen import Gridgen\n",
    "from flopy.utils import GridIntersect, Raster\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "\n",
    "# pd.options.mode.chained_assignment = None\n",
    "data_path = Path(\"../data/modelgrid_intersection\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9ea69ac",
   "metadata": {},
   "source": [
    "## Grids"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d78299e2",
   "metadata": {},
   "source": [
    "## StructuredGrid\n",
    "\n",
    "Let's start with the most common type of MODFLOW modelgrid, the `StructuredGrid`\n",
    "\n",
    "#### First we'll build one from scratch "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7154ce13",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:37.805835Z",
     "iopub.status.busy": "2025-04-27T15:59:37.805712Z",
     "iopub.status.idle": "2025-04-27T15:59:37.809115Z",
     "shell.execute_reply": "2025-04-27T15:59:37.808861Z",
     "shell.execute_reply.started": "2025-04-27T15:59:37.805824Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xll:0.0; yll:0.0; rotation:0.0; units:undefined; lenuni:0\n",
      "<class 'flopy.discretization.structuredgrid.StructuredGrid'>\n"
     ]
    }
   ],
   "source": [
    "nrow = 20\n",
    "ncol = 15\n",
    "nlay = 1\n",
    "\n",
    "grad = np.expand_dims(np.linspace(50, 100, nrow), axis=1)[::-1]\n",
    "top = np.ones((nrow, ncol)) * grad\n",
    "botm = np.zeros((nlay, nrow, ncol))\n",
    "botm[0, :, :] = top - 50 \n",
    "delr = np.full((ncol,), 250)\n",
    "delc = np.full((nrow,), 150)\n",
    "ibound = np.ones((nlay, nrow, ncol))\n",
    "ibound[0, 4:10, 4:8] = 0\n",
    "\n",
    "modelgrid = flopy.discretization.StructuredGrid(\n",
    "    delc,\n",
    "    delr,\n",
    "    top,\n",
    "    botm,\n",
    "    ibound,\n",
    ")\n",
    "print(modelgrid)\n",
    "print(type(modelgrid))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f568611b",
   "metadata": {},
   "source": [
    "Let's take a look at our modelgrid visually"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8eabc8cd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:37.809561Z",
     "iopub.status.busy": "2025-04-27T15:59:37.809470Z",
     "iopub.status.idle": "2025-04-27T15:59:37.884885Z",
     "shell.execute_reply": "2025-04-27T15:59:37.884506Z",
     "shell.execute_reply.started": "2025-04-27T15:59:37.809553Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "modelgrid.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59337e12",
   "metadata": {},
   "source": [
    "This is great, but what if we want to orient it in space and add a coordinate reference system so we can do further processing? \n",
    "\n",
    "The `set_coord_info()` method allows us to update the coordinate offsets, rotation of the grid, and even add projection information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bd579167",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:37.885611Z",
     "iopub.status.busy": "2025-04-27T15:59:37.885509Z",
     "iopub.status.idle": "2025-04-27T15:59:37.892218Z",
     "shell.execute_reply": "2025-04-27T15:59:37.891863Z",
     "shell.execute_reply.started": "2025-04-27T15:59:37.885601Z"
    }
   },
   "outputs": [],
   "source": [
    "xoff = 2345678\n",
    "yoff = 1234567\n",
    "angrot = -15\n",
    "epsg = 32610  # utm zone 10N\n",
    "\n",
    "modelgrid.set_coord_info(xoff=xoff, yoff=yoff, angrot=angrot, crs=epsg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "075e0165",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:37.892838Z",
     "iopub.status.busy": "2025-04-27T15:59:37.892679Z",
     "iopub.status.idle": "2025-04-27T15:59:37.980106Z",
     "shell.execute_reply": "2025-04-27T15:59:37.979719Z",
     "shell.execute_reply.started": "2025-04-27T15:59:37.892822Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "ax = modelgrid.plot(ax=ax)\n",
    "plt.title(str(modelgrid));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67c85c8e",
   "metadata": {},
   "source": [
    "### Getting cell centers and cell vertices\n",
    "\n",
    "* Cell centers can be returned to the user through the `.xcellcenters`, `.ycellcenter`, and `.zcellcenter` properties.\n",
    "* Cell vertices can be returned to the user through the `.xvertices` and `.yvertices` properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "046226a5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:37.982301Z",
     "iopub.status.busy": "2025-04-27T15:59:37.981946Z",
     "iopub.status.idle": "2025-04-27T15:59:38.078474Z",
     "shell.execute_reply": "2025-04-27T15:59:38.078169Z",
     "shell.execute_reply.started": "2025-04-27T15:59:37.982287Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xc, yc = modelgrid.xcellcenters, modelgrid.ycellcenters\n",
    "xv, yv = modelgrid.xvertices, modelgrid.yvertices\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "modelgrid.plot()\n",
    "ax.scatter(xc.ravel(), yc.ravel(), c=\"b\", label=\"cell centers\")\n",
    "ax.scatter(xv.ravel(), yv.ravel(), c=\"r\", label=\"cell vertices\")\n",
    "plt.legend(loc=0);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82be3a1c",
   "metadata": {},
   "source": [
    "### Getting the ibound/idomain array\n",
    "\n",
    "The `.idomain` method returns the ibound/idomain array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6392c804",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.079066Z",
     "iopub.status.busy": "2025-04-27T15:59:38.078940Z",
     "iopub.status.idle": "2025-04-27T15:59:38.148777Z",
     "shell.execute_reply": "2025-04-27T15:59:38.148540Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.079057Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ibound = modelgrid.idomain\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "pmv = flopy.plot.PlotMapView(modelgrid=modelgrid, ax=ax)\n",
    "pmv.plot_grid()\n",
    "pmv.plot_array(ibound, masked_values=[0,]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9497c9a2",
   "metadata": {},
   "source": [
    "### Getting the model top, bottom, delc, and delr\n",
    "\n",
    "The model top, bottom, delc, and delr can be accessed from the modelgrid using `.top`, `.bottom`, `.delc`, and `.delr`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "773296c6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.149204Z",
     "iopub.status.busy": "2025-04-27T15:59:38.149127Z",
     "iopub.status.idle": "2025-04-27T15:59:38.153321Z",
     "shell.execute_reply": "2025-04-27T15:59:38.153097Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.149194Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[100.        , 100.        , 100.        , 100.        ,\n",
       "         100.        , 100.        , 100.        , 100.        ,\n",
       "         100.        , 100.        , 100.        , 100.        ,\n",
       "         100.        , 100.        , 100.        ],\n",
       "        [ 97.36842105,  97.36842105,  97.36842105,  97.36842105,\n",
       "          97.36842105,  97.36842105,  97.36842105,  97.36842105,\n",
       "          97.36842105,  97.36842105,  97.36842105,  97.36842105,\n",
       "          97.36842105,  97.36842105,  97.36842105],\n",
       "        [ 94.73684211,  94.73684211,  94.73684211,  94.73684211,\n",
       "          94.73684211,  94.73684211,  94.73684211,  94.73684211,\n",
       "          94.73684211,  94.73684211,  94.73684211,  94.73684211,\n",
       "          94.73684211,  94.73684211,  94.73684211],\n",
       "        [ 92.10526316,  92.10526316,  92.10526316,  92.10526316,\n",
       "          92.10526316,  92.10526316,  92.10526316,  92.10526316,\n",
       "          92.10526316,  92.10526316,  92.10526316,  92.10526316,\n",
       "          92.10526316,  92.10526316,  92.10526316],\n",
       "        [ 89.47368421,  89.47368421,  89.47368421,  89.47368421,\n",
       "          89.47368421,  89.47368421,  89.47368421,  89.47368421,\n",
       "          89.47368421,  89.47368421,  89.47368421,  89.47368421,\n",
       "          89.47368421,  89.47368421,  89.47368421],\n",
       "        [ 86.84210526,  86.84210526,  86.84210526,  86.84210526,\n",
       "          86.84210526,  86.84210526,  86.84210526,  86.84210526,\n",
       "          86.84210526,  86.84210526,  86.84210526,  86.84210526,\n",
       "          86.84210526,  86.84210526,  86.84210526],\n",
       "        [ 84.21052632,  84.21052632,  84.21052632,  84.21052632,\n",
       "          84.21052632,  84.21052632,  84.21052632,  84.21052632,\n",
       "          84.21052632,  84.21052632,  84.21052632,  84.21052632,\n",
       "          84.21052632,  84.21052632,  84.21052632],\n",
       "        [ 81.57894737,  81.57894737,  81.57894737,  81.57894737,\n",
       "          81.57894737,  81.57894737,  81.57894737,  81.57894737,\n",
       "          81.57894737,  81.57894737,  81.57894737,  81.57894737,\n",
       "          81.57894737,  81.57894737,  81.57894737],\n",
       "        [ 78.94736842,  78.94736842,  78.94736842,  78.94736842,\n",
       "          78.94736842,  78.94736842,  78.94736842,  78.94736842,\n",
       "          78.94736842,  78.94736842,  78.94736842,  78.94736842,\n",
       "          78.94736842,  78.94736842,  78.94736842],\n",
       "        [ 76.31578947,  76.31578947,  76.31578947,  76.31578947,\n",
       "          76.31578947,  76.31578947,  76.31578947,  76.31578947,\n",
       "          76.31578947,  76.31578947,  76.31578947,  76.31578947,\n",
       "          76.31578947,  76.31578947,  76.31578947],\n",
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       "          73.68421053,  73.68421053,  73.68421053,  73.68421053,\n",
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       "          71.05263158,  71.05263158,  71.05263158,  71.05263158,\n",
       "          71.05263158,  71.05263158,  71.05263158],\n",
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       "          68.42105263,  68.42105263,  68.42105263,  68.42105263,\n",
       "          68.42105263,  68.42105263,  68.42105263],\n",
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       "          65.78947368,  65.78947368,  65.78947368],\n",
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       "          63.15789474,  63.15789474,  63.15789474],\n",
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       "          60.52631579,  60.52631579,  60.52631579,  60.52631579,\n",
       "          60.52631579,  60.52631579,  60.52631579],\n",
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       "          57.89473684,  57.89473684,  57.89473684,  57.89473684,\n",
       "          57.89473684,  57.89473684,  57.89473684],\n",
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       "          55.26315789,  55.26315789,  55.26315789,  55.26315789,\n",
       "          55.26315789,  55.26315789,  55.26315789],\n",
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       "          50.        ,  50.        ,  50.        ]]),\n",
       " array([[[50.        , 50.        , 50.        , 50.        ,\n",
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       "          47.36842105, 47.36842105, 47.36842105, 47.36842105,\n",
       "          47.36842105, 47.36842105, 47.36842105, 47.36842105,\n",
       "          47.36842105, 47.36842105, 47.36842105],\n",
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       "          44.73684211, 44.73684211, 44.73684211],\n",
       "         [42.10526316, 42.10526316, 42.10526316, 42.10526316,\n",
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       "          39.47368421, 39.47368421, 39.47368421, 39.47368421,\n",
       "          39.47368421, 39.47368421, 39.47368421],\n",
       "         [36.84210526, 36.84210526, 36.84210526, 36.84210526,\n",
       "          36.84210526, 36.84210526, 36.84210526, 36.84210526,\n",
       "          36.84210526, 36.84210526, 36.84210526, 36.84210526,\n",
       "          36.84210526, 36.84210526, 36.84210526],\n",
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       "          34.21052632, 34.21052632, 34.21052632],\n",
       "         [31.57894737, 31.57894737, 31.57894737, 31.57894737,\n",
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       "          31.57894737, 31.57894737, 31.57894737],\n",
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       "          28.94736842, 28.94736842, 28.94736842],\n",
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       "          26.31578947, 26.31578947, 26.31578947, 26.31578947,\n",
       "          26.31578947, 26.31578947, 26.31578947],\n",
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       "          23.68421053, 23.68421053, 23.68421053, 23.68421053,\n",
       "          23.68421053, 23.68421053, 23.68421053],\n",
       "         [21.05263158, 21.05263158, 21.05263158, 21.05263158,\n",
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       "          21.05263158, 21.05263158, 21.05263158, 21.05263158,\n",
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       "         [18.42105263, 18.42105263, 18.42105263, 18.42105263,\n",
       "          18.42105263, 18.42105263, 18.42105263, 18.42105263,\n",
       "          18.42105263, 18.42105263, 18.42105263, 18.42105263,\n",
       "          18.42105263, 18.42105263, 18.42105263],\n",
       "         [15.78947368, 15.78947368, 15.78947368, 15.78947368,\n",
       "          15.78947368, 15.78947368, 15.78947368, 15.78947368,\n",
       "          15.78947368, 15.78947368, 15.78947368, 15.78947368,\n",
       "          15.78947368, 15.78947368, 15.78947368],\n",
       "         [13.15789474, 13.15789474, 13.15789474, 13.15789474,\n",
       "          13.15789474, 13.15789474, 13.15789474, 13.15789474,\n",
       "          13.15789474, 13.15789474, 13.15789474, 13.15789474,\n",
       "          13.15789474, 13.15789474, 13.15789474],\n",
       "         [10.52631579, 10.52631579, 10.52631579, 10.52631579,\n",
       "          10.52631579, 10.52631579, 10.52631579, 10.52631579,\n",
       "          10.52631579, 10.52631579, 10.52631579, 10.52631579,\n",
       "          10.52631579, 10.52631579, 10.52631579],\n",
       "         [ 7.89473684,  7.89473684,  7.89473684,  7.89473684,\n",
       "           7.89473684,  7.89473684,  7.89473684,  7.89473684,\n",
       "           7.89473684,  7.89473684,  7.89473684,  7.89473684,\n",
       "           7.89473684,  7.89473684,  7.89473684],\n",
       "         [ 5.26315789,  5.26315789,  5.26315789,  5.26315789,\n",
       "           5.26315789,  5.26315789,  5.26315789,  5.26315789,\n",
       "           5.26315789,  5.26315789,  5.26315789,  5.26315789,\n",
       "           5.26315789,  5.26315789,  5.26315789],\n",
       "         [ 2.63157895,  2.63157895,  2.63157895,  2.63157895,\n",
       "           2.63157895,  2.63157895,  2.63157895,  2.63157895,\n",
       "           2.63157895,  2.63157895,  2.63157895,  2.63157895,\n",
       "           2.63157895,  2.63157895,  2.63157895],\n",
       "         [ 0.        ,  0.        ,  0.        ,  0.        ,\n",
       "           0.        ,  0.        ,  0.        ,  0.        ,\n",
       "           0.        ,  0.        ,  0.        ,  0.        ,\n",
       "           0.        ,  0.        ,  0.        ]]]),\n",
       " array([150., 150., 150., 150., 150., 150., 150., 150., 150., 150., 150.,\n",
       "        150., 150., 150., 150., 150., 150., 150., 150., 150.]),\n",
       " array([250., 250., 250., 250., 250., 250., 250., 250., 250., 250., 250.,\n",
       "        250., 250., 250., 250.]))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top = modelgrid.top\n",
    "botm = modelgrid.botm\n",
    "delc = modelgrid.delc\n",
    "delr = modelgrid.delr\n",
    "top, botm, delc, delr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cde8114",
   "metadata": {},
   "source": [
    "## Class exercise 1:\n",
    "\n",
    "Assume that the modelgrid is currently in meters and we want our grid to be in feet. Create a new modelgrid object from the existing one where the discretization is in feet.\n",
    "\n",
    "make a plot of the new modelgrid after it has been created"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6313fa4b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.153722Z",
     "iopub.status.busy": "2025-04-27T15:59:38.153651Z",
     "iopub.status.idle": "2025-04-27T15:59:38.205949Z",
     "shell.execute_reply": "2025-04-27T15:59:38.205692Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.153715Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xll:7695794.20952; yll:4050416.79628; rotation:-15; units:undefined; lenuni:0\n"
     ]
    },
    {
     "data": {
      "image/png": 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PvKJ0CSMjI/B6vUhNTUVDQ4Pi92RlZWHBggVYsGABAMDj8bBFDEXafvzxxyzyNi8vT7KQEXX/bdiwMbthk/sVBp54v/SlLwH4hDDoj9/vT4gwRHvPtYiXkt1qamqYUr2zsxOtra1MqU6Rtvv372fESpUvKdVHR0fh8XhYJS0CNAa1BYYSCgsLsWLFCqxYsQKxWAwDAwOSSFufz4cPPvgAH3zwAQCgvLycfW4NDQ12pK0NG1cIbHK/wqC01axEGFT5xiOMxsZGSU91EZ3v5DBCvBkZGZgzZw7mzJkDAEyZ7nK50NraivHxcUaOFGnb3NzMBHl1dXXCesYnuu3vcDhQVVWFqqoqXH311QiHwzMaBQ0NDWFoaAjvv/8+s+jxkbZ2i1wbNi5P2OR+BUHPVjNPGBs3bmSEQZVvX1+fKmG0tLQgKysLY2NjSElJUd1qThQ0BjPEm5eXx5TqsVgMw8PDMyJtSaUOAAMDA3jjjTdYi1x5pK1ZRKNRtLe3A7Bu2z8tLQ1NTU1oamrCjTfeiAsXLuAXv/gFUlNTUVBQALfbjc7OTnR2dmLXrl3IzMyUNAqyI21t2Lh8YJP7FQS3222YeHnCAKbP7PnOcmNjYxLCoE5rRUVFGB8fN61U14JVOwMOhwPl5eUoLy/HunXrJEr19957D7FYDIFAgEXa8kp1Eh6a7SzX09ODYDCIrKwsVFVVJTQONXR3dwMA5s+fjy9/+ctwu90S4WEgEMC5c+dw7tw5AJ9E2tKf3NxcIb+XDRs2xMMm9ysIiVS8hJycHCxatAiLFi0CAMWe6vT1J554AoWFhew8u6mpKWHCiEajCafZqYG2+VNSUrBnzx5kZmbiS1/6ElvMDA8Pz1Cq88LDiooK3QsZfoEiamtcfp+Ki4uxatUqrFq1CtFodEajIKVIW/68Xq8uwIYNGxcfNrlfQRBxFs4r1cPhMH76059iamoK1dXVGBwchMfjkRCGHqW6Fnp7e1nFS3GsVoO/T7xS3ev1SoSHExMTuHDhAi5cuABgOkyGr3y1Im1F6xKCwSCr3JWukZKSAqfTCafTiWuuuYb16SetBR9pe+DAARZpS2OzI21t2JjdsMn9CoHIipcwMDCAqakpZGZm4jvf+Q5rc0tkODAwMEOpLu+pHo8weBGaKHJRI96CggIsX74cy5cvRywWw+DgoESpLo+0LSsrkwgPSakej3itQHt7O6LRKIqLi1FcXBz3+9PT09HS0sLO/ynSlrQWXq+XRdru2LED2dnZ7LimpaVF1zVs2LCRPNjkfoWgr68Pk5OTyMzMhNPpFHINylYn4lVSqvPn9V6vFy6XCy6XiynV5RnocoiueKemptDV1RX3Gg6HA5WVlaisrMSGDRsQDofR3d3NKt/e3l4MDw9jeHgYhw4dYha95uZmpKenGyJeM0j0PilF2tLY6Lz+zJkzOHPmDIBPIm3p+MUq4aENGzbMwSb3KwTJqHjj7Qzk5eVhyZIlWLJkCWKxGEZGRmYIvHjCKC4ulvRUT01N1UW8iaCjowPRaBRFRUWGiDctLY1F2gJAIBBAe3s7q3zdbjeLtCVEo1G8//77aGlpsVypbuUiiI+0Xbt2LaLRKM6fP49f/epXAKa3+OWRtk6nk1X1dXV1dqStDRtJhv3GXSFIRsVLSXN6ruFwOFBWVoaysjJGGD09PYzsu7u74Xa7JUr14uJiRKNR5ObmJqXzXSJkm52dLYm0JaW6y+XCmTNnEIvF4PF48PbbbwOQKtWbmpoS6mXv9XoxPDwMQEzr3JSUFCacrKmpwbe+9S1Ji9yhoSH09vait7eXRdrywsPKykrbcmfDhmDY5H4FQO9WcyLo7OxENBpFYWEhSkpKDP/7lJQU1NXVoa6uDps3b0YwGERHRwfbCh4aGsLo6CiA6fPgn/zkJ4wwWlpaDCnVtSBqEURK9Xnz5jEf/ebNm5mNUEmpTpWvUaU6jcHpdArbHud3gjIyMjBv3jzMmzcPACSNgdra2uDz+dDa2sqObXJyciTCw8LCQiG/ow0bVzJscr8C0NnZiUgkgpSUFBw5csQUYcQDTdyJVryEzMxMCWF4vV4899xzGB8fR1ZWFiYnJxlhvPPOO0ypToSopVRXw/j4OIuSFRUWwxPvddddBwBMqU5kyCvVDx48aFipfjHb/wLTkbbLli3DsmXLEIvFMDQ0JGkU5Pf7cerUKZw6dQoAUFpaKhEe2pG2NmwkDpvcrwDQRByNRnHw4EFThKH3GqIIJSUlBePj4wCAv//7v8fExAQ7z1ZSqhNhUGc5PT3VSTNQXV2tOznOKJTuk5pSnQjR4/FIlOpZWVkzhIe0oEpG+9/BwUFMTEwgPT0dtbW1mt/rcDhQUVGBiooKrF+/HpFIBN3d3WxsPT09GBkZwcjICA4fPmx5QqENG1cqbHK/AkCT/dq1azE1NaVobeIJw6i1yefzJa3ira6uRm5uLnJzc1FRUYENGzYgEonM6KkuJwx5T3Ulwkhmxat1DSWlurxR0NmzZ3H27FkAnyjVm5ubkZeXh4mJCaSlpaGurk7IOGgMDQ0NhoVyFNTT0NAgibSl4xerEwpt2LhSYZP7ZQ6fz4eBgQEAwLXXXovc3FxFa5MaYeixNtFkX1VVJaxlqRYppqamMqX6DTfcwJTqRIijo6NMqb57925kZGRIeqqXlZXFvYYVGBoags/nM0S8vFJ9zZo1iEaj6O3tZWPr6uqaoVQHpp0JnZ2dqK+vt1ypbuV9Uoq0/fjjj/Hmm28iFothamrKjrS1YcMEbHK/zEFbzTzxKlmb5Ep1I9Ym0c1xjG41y5XqY2NjEoFXIBDA+fPncf78eQDTZ8ROpxPj4+NJiXg1U/ESKKintraWRdp2dHSwsdEOytjYGP7jP/4DaWlpMxoFJVL5hsNhdHR0ABDzeRcWFqK0tBSxWAw5OTn4xje+wXYsjCYU2rBxJcMm98scekhRrlSfmprSbW1qampi7VdFkfvw8DDGx8cZURlFUVERVq5ciZUrVyIWi83oqT4+Ps7CUyKRCJ599llJT3WrCEPEzkBGRgbmzp2LuXPnIhwO48EHH0Q4HMa8efPQ29vLIm7p2jk5OZLjF6NK9e7uboRCIXYsIgK8WK+6uhrV1dWmEgqdTqfdItfGFQub3C9jmBVXGbU2AdO7AW63Gx6Px3JrE43Bii1mh8MhIYxQKISuri688cYbcLvdAKYFY4ODgzh48CBb+BDZmyWMSCTCIl5FLYK6u7sRDoeRm5uLr371qwCmF0Z0/EJK9dOnTzM7XklJicRfH0+pblUfAL3X4GE0oTAzM1MiPBSRUGjDxmyFTe6XMUZGRuD1ehPeatayNrW1tSESiSAWi+FPf/oTAOutTSLPwinZbWJiAgDwrW99C36/n1WHHo8HHR0d6OjowM6dO5GVlcXO60l4qIcwqOLNyclBZWWl5eMApN5z+p0o0paU6hRpS0r10dFRjI6O4siRI0ypTscvSkp10bqEQCCA3t5eXdfQk1D40Ucf4aOPPgIAyxMKbdiYzbDJ/TIGVdZm0tfUILc2/fKXv8THH3+MxsZGhMNhy61Nyah4e3p6MDU1hZycHDQ2NsLhcGDRokWIxWIzMtCVCIMXeKlZ6KzuA6CEeMRLi7z6+nqJUp3GxyvVKdKWFx7m5eXpJl6zIP1GWVmZ4V4FfEJhNBpFX1+fRHhodUKhDRuzGTa5X8YQLXSLRCJMXHXTTTehurpakzDMWJt44q2qqhIyDj7whv9dHA6HImHQNndnZyc8Hg+OHz+O48ePA/iEMEh4SIQh+rMwUvESlJTq/I6M3++XKNWzsrIQi8WQl5d30RYoekFBPTU1Ndi0aRNrj9zW1oZDhw4hEokknFBow8Zshk3ulykikYhwQiHizc7OZsRrlDDiWZvUiNdK6CUUnjDUlOo8YZAAsK6uLikRr7FYDKWlpaY1D4WFhVixYgVWrFiBWCyGgYEBSaQt9ZP3+Xz42c9+JlGqNzQ06GoUFA+itv0pobC0tBQHDhyAw+HA5z//eSbQGx8fN5xQaMPGbIZN7pcpent7GfFWV1cLuYYecZUSYVDlq8faJHqBMjk5iZ6eHgDKrVS1wCvVAUiU6W1tbRIhIjC9E/DOO++w8RUVFVk2DqtJ0eFwoKqqClVVVbj66qsRDoexZcsWjI+Po6SkBKOjo6pKdWoUZLTydbvdcLvdcDgcLF3PatB9qqurkzgojCYU2pG2NmY7EiL3Bx54AD/84Q9xzz334NFHH1X9vt27d+Pee+/F6dOn4XQ68Y//+I+466672P/funUrbr/99hn/LhAIMDFWOBzG//f//X/4xS9+gf7+flRXV+Pb3/42/tf/+l/29pkCklnx6u1KxxOGXmtTNBoFMO1dj0ajln/WVPGWlJQkrPLPy8vD0qVLsXTpUsRiMQwPD6OtrQ0HDhyAx+NBLBZLSKmuBdFCN5/Ph/HxcTgcDtx5552IRqMSpbrb7Z6hVOfP6/VE2tIYamtrLdkF0LoGf5/UEgppESpPKASm+z7Q2OxIWxuzEaafyMOHD+OZZ57B0qVLNb/P5XLh5ptvxh133IGXXnoJ+/btw3e/+12Ul5fj1ltvZd9XUFDAvMYEfrJ78MEH8fTTT+Pf//3fsWjRIhw5cgS33347CgsLcc8995gdxmUL0ZN9MBhkW81GK16CHmsT4de//rUQa5Oo++RwOJhS/dChQwCAG264AZFIhDUKkivVecKora3VTRhjY2MYHR1NSsXLE+9VV12Fq666CgAkwsO2tjZMTk7i3Llz7J3mI22bm5sVleqin1lakMS7Bt/34brrrlNMKKS+D3v37pX0fbAyodCGjURgitx9Ph9uu+02PPvss/jxj3+s+b1PP/006uvrWWW/cOFCHDlyBA899JCE3KmqU8OBAwfwxS9+EbfccgsAoLGxES+//DKOHDliZgiXNYLBIIt4PXLkCDwej6q1ySz4iteq7WW5tenVV1/Fhx9+iOLiYgQCASHWJtGEwhPvmjVrkJWVxQiDFx4ODw+jp6cHPT09TKnOCw+1CIPGUFNTIyxRLd59okjbVatWIRqNzmgUpBRpy5/Xp6amCj+C6e/vRyAQQGZmJmpqanT/O6WEQtq+l/d9sCqh0IaNRGGK3O+++27ccsst+NSnPhWX3A8cOICbbrpJ8rXPfOYzeP755xEKhZia2OfzoaGhAZFIBMuXL8ePfvQjrFixgv2ba665Bk8//TTOnz+PefPm4eTJk9i7d6/mcUAwGEQwGGR/93q9JkZ76YGsYwCYwIu3NtGkk0gIh9EteTMg9fenP/1pzJ8/33Jrk8fjwcjICBwOh/DAGznxZmZmYv78+Zg/fz6ATwiD/kxMTODChQus+x8RBv3hCWO2BN4QUlJS4HQ64XQ6cc0117BIWzp+oTjbgYEBHDhwAKmpqaioqEAgEEBaWppwjUhjY2NCxzsFBQVYvnw5li9fjlgshsHBQfa5tba2WpJQaMNGojBM7q+88gqOHTuGw4cP6/r+/v7+GU07KisrEQ6HMTw8jOrqaixYsABbt27FkiVL4PV68dhjj2Hjxo04efIkEyv94Ac/gMfjwYIFC5CamopIJIJ/+qd/wte+9jXVaz/wwAO4//77jQ7xkgdNYkuWLEFTU5Nppbqea5jdko8HOfFqWZuIMLSsTdXV1TMWMsmoePVWo1qE0d7ePoMwysrKWHUo+rOgijcjI8NQxUtQirTlFzJerxd9fX0AprU1jzzyCDuuMZpQqAURiyCHw4HKykpUVlZi9erV+Jd/+RfEYjGsWrUK/f39qgmFNDa1hEIbNhKFIXLv6urCPffcg23bthmaDOWTaiwWk3x9/fr1WL9+Pfv/GzduxMqVK/H4449jy5YtAIBf/epXeOmll/DLX/4SixYtwokTJ/AP//APcDqd+Ou//mvF6953332499572d+9Xq+wGMzZBJrEFixYgKuuukrV2qSlVNeyNnm9XgwPDyfljNfpdCo+a2RtmjNnDoDpnR/+vN7r9ca1NonefTDb/pcnjA0bNiAcDqO7u5ud+fb29mJ4eBjDw8PsPN/hcKC1tZWd3VtJGCTObGxstOTn5ubmYsmSJViyZAlLKHz55ZcxMjKCtLQ0RaU6f/xiRqlOuweAuB2Ojo4ORKNRFBQU4JZbboHD4dBMKKS+D/KEQvu83oYVMETuR48exeDgIFatWsW+FolEsGfPHjzxxBMIBoMzXv6qqir09/dLvjY4OIi0tDSUlpYqXiclJQVr1qxhFSYA/Pf//t/xP/7H/2A9s5csWYKOjg488MADquSemZl5xW2B8cTLk5aStUmega7X2sQTryhLkFFSzMvLkxCGHmvT+Pg4gGmRmAj09/fD7/cjIyMjoWukpaWxSFtg2kVCC5kzZ84gEAggFothz549jDD4ylePUl0LIs/CHQ4HCgoKmHjyjjvuQDAYZJ8dKdXdbrckodCoUr2zsxORSAQFBQWq806iULKGmkko5HfT8vLyhPyuNi5/GCL3G2+8kW0LEm6//XYsWLAAP/jBDxRX9Rs2bMDrr78u+dq2bduwevVq1TPRWCyGEydOYMmSJexrfr9/xjlZamoqs0rZmIZe4uWV6jfeeKOEMOJZm/hWqiLAV7xmtprVrE1ywiC88sorqK6uttzaxJ/xWllJZ2dnM6U6qdSvuuoqOBwORhhqSvWmpiZDhBEKhYRGvAKfEG9+fj7TgVBCISnV6bPTUqo3NzejsrJScSEzG9r/AtoJhR0dHRgfH8fJkydx8uRJAEBFRYVkN82OtLWhF4ZmsPz8fCxevFjytdzcXJSWlrKv33fffejp6cGLL74IALjrrrvwxBNP4N5778Udd9yBAwcO4Pnnn8fLL7/Mfsb999+P9evXY+7cufB6vdiyZQtOnDiBJ598kn3PF77wBfzTP/0T6uvrsWjRIhw/fhw/+9nP8Dd/8zemB385wuxWM08YQHxrEwD09fXhww8/VLU2mcXAwAD8fj/S09MtqarlkbbBYBBvv/02Tpw4gYyMDExNTQmxNone9ueJ97rrrkN5eTlisZhEeKhHqa4lPOzq6mLEW1ZWJmQc/EJOfp/lSvV4CYU5OTmSypd6F4hW4vt8PgwMDBi6hlpCIR2/9PX1CUkotHFlwPLOC319fexsC5ie2N588018//vfx5NPPgmn04ktW7ZIbHBjY2O488470d/fzzqa7dmzB2vXrmXf8/jjj+N//+//je9+97sYHByE0+nE3/3d3+H//J//Y/UQLlkkWvHyULM2ffTRR6yjG6/mNkIY8SCq4iVkZmayLfnrr78eV111leXWpnA4zN4DUUI3JeKlM3e5Up3IsL+/f4ZSnSeM6upqCWEks+LVswjSSiikSNtTp07h1KlTAKaV6nV1dexoUHTgTWVlpemFbnp6OvscgE/6PuhJKLSq74ONywcJk/uuXbskf9+6deuM79m8eTM7L1PCI488gkceeUTzOvn5+Xj00Uc1rW9XOgYHBzExMWFZxUvgrU2pqano6emB0+lEQ0MDXC6XYcKIB9EVbzgclmw1y5XqQ0NDbELt6OhQVKoT0atZmzo7OxEOh4VWvHqIV0mpzh+/eDwetLe3o729HTt27EBWVpZEeCjaZjcxMWGaeOUJhZFIBN3d3WxsfEIh4ZVXXpE0CrJq8SjiPvF9H6LRKB555BH4fD7U1dVhaGjIdEKhjSsDds/Eywg0wTQ0NAhrh0nXWLx4MTZs2ABA2drEEwYp1fVYm3jiFVnxhsNh5OXloby8XPL/eMLYsGEDIpHIDOEhKdV5axMvPExNTVUUV1kNM1vNubm5WLx4MRYvXsyU6rzwcHJyEmfPnsXZs2cl/y4UCsHv91tOGHzFm6h4LDU1FQ0NDWhoaJBE2m7fvh3Dw8MAoJpQ2NLSYlqpbtYVYQSjo6Pw+XxITU3FN7/5TaSmprKEQr7vg1JCod6+DzYuL9jkfhlB9AQjr3gJStYmOjdUUqoXFRWxCVVubdIiXqtghHhTU1OZUv2GG27QtDbt3r2bWZuoGhW1++D3+5k33Ow1HA4HSktLUVpaijVr1iAajaK3t1dyXk+21TfeeANvvPGGRHhYX1+f8CKSz0CwGllZWZg/fz7eeustAMAXv/hFSU98ed8HUqrTzoXevg8jIyPwer1scSECdJ94kjaSUEi/Gy2wq6qq7C38yxw2uV8mUCNeK9Hd3Y1QKITc3FxUVFQofg9PGGpK9bGxMRw7dkxibaJJh87wL7aqWQ16rU2Ed999Fy6Xy3JrE1W8FRUVhpoPaYHsj7W1tbj22mvx2muv4YMPPkBVVRWi0SgGBwfR19eHvr4+7Nu3j0Xa0tiMEoaVGhE1jI6OMuJdtGgR0tPTmVKdEgppISNXqlPfh5aWFk2lOo1BZHUcb5fGSEIh9X3gt/CtTCi0MTtgk/tlAj3EmyjMiKuUlOpq1qZ9+/axnxuJRFh3QytJPhAIsLa2ViyClKxNBw4cYOfzPp9PiLUpGXZEWizecMMNmDt3Lss8pzarPIEAnyjVaaEWL2WPJ976+noh46D7VFdXJyFepYRCXniolFCoplQXrRGJRCKGj2DUEgpJeBgIBGYkFPI6EjvS9tKHTe6XCXiF+Ww645VDy9pEfbkBsIlHzdqU6BjKy8stq3gJZG0iElmzZg0WLFggIQwrrE3JOuP1eDySreb8/PwZhEHHL0pKdYq0JcKQdxrkiVeUf1vvM5uWlqaoVKfPbmxsTKJUp4TCZLT/7e3txdTUFLKzs0313ecTCtetW4dIJDJjN40SCo8ePZpQQqGN2QP7E7tMQBPM2bNn8e///u+mlepqsLriJfDWptOnT+O3v/0tcnNz4XQ6Va1NNDYlwogH0aTIX2Pu3LmmrU0kPFRaqLndbng8HqSkpAg746UxqBEvTxhqSnV5pG1NTQ2rDmtra4V7z/VGvCpBnlCoJDzklerAdAx2IgmFauB1CVYs3GmnpL6+niUUPvfccxgeHkZeXh58Pp/phEIbswc2uV8GCAQCzHsejUY1rU1qhBEPFPFaVlYmLMKSJuLFixfjs5/9rKa1iZTqNTU1hqxNyah4x8bGFImXJ4xYLAa32y0RHuq1NiWj4jW61aymVKfPbmRkhCnViTAikQiA6aONWCxmOWH09PQgGAwiKysr4aS5kpISlJSUYPXq1YhGo6xR0LFjx1jr3EQSCrWQjAUp2QX/9m//Fg6HQ7JrYSSh0MbsgU3ulwEo4rW0tBRf+9rXNK1NpFSns1G91ibRZ7zAzElMjTCIEHnCkFubmpubZ0TaUo/yi1nxEhwOByMMUqrHszZVV1ejqakJ3d3dkvtkNfiK1+xWc1ZWFhYsWIAFCxYAmE754wVefr+ffe+rr76Kbdu2SQjDiiMT/nmyspMbn1B44cIFjI2NYe3atcwCaSahUA3BYJB93qK2/WnhXlxczIR18oRC/vhFLaGQdtOutDyP2Qqb3C8D8Gd+Wtamrq6uGUp1vdYm0VuoeohXD2FoRdrSfaqtrRU2AZmtsnjCULM2kVKdcO7cOaSmpppSqmuht7fXsoqXQJ0nKaHwzTffxJEjR5Cbm4tgMGg6oVALooVuPPGuX7+e9W/gEwpbW1uZEFEpobClpUVTqa5EvFZDa+HOJxRS4JRWQiE9x/K+DzaSD5vcLwOoEYrc2qRFGFrWprGxMYyOjiYl4tUI8coJg6xNLpdLMdKWfm5hYSGmpqYs39JO5IxXDjVr06lTp9jihVwGACy1NvGkKKJ3ucPhwNDQEIDpnvjLly83nVCohqmpKeEVL0W8FhcXSxozmUko5HfTeKV6MrbkjezSaCUUtrVNB04p9X2ghUyiCYU29MMm90scRohXThi8tUnuhQWmz4ibmprYyns2VrwEPdamYDAIAPjwww9x+vRp1NXVMYGXFSEcfX19mJycRGZmJpxOZ0I/Sw6yNo2NjeHjjz9GU1MT5s+fr2lt4gnDiPBQNKFMTU2hq6uLXSORhMLm5mZFwmhvb0c0GkVRUZFmR8REoKcBjzyhMBKJoLe3ly1CKaHw6NGjTKlOu2ktLS3Cj8P4iGgzC3etwClayPCRtpRQSDsXdqStONjkfokjka1mPdYmIgsAGB4exp/+9CdThKEFKytegtza1NbWhv/4j/9ASkoKyw8npToRBi88NBPCIbri5a+xcOFCrFmzJq61iZTq8gx0ta1SOfGKQDziNZpQyEfaNjdPJxTOtoqXQLkLdXV1TKnOCw+Hh4clCYWEoaEhDAwMWK5Up/sULyJaL/jAKUoofP3119Hf3w+Hw6GYUEgL7EQDp2xIYZP7JQ6rJjEla1NPTw9aW1uxd+9eRKNRBAIBHDlyRNXaZPZsrb+/H4FAAJmZmaipqUloHGogN8HcuXPx1a9+Na61qbCwkI1Nr7Up2RUvQcnaJCcMvdYm2moWWfHy90kPUSklFNIiVC3S1uv1AoAw4aTX62VHC4kcVWVmZmL+/PmYP38++7n0uZ0/f57tNu3atQu7du2yXKkuUpdAuxCUwPj1r38dDoeDjY8PnDp48GDCgVM2pLDJ/RKGyGYmRBjp6enYs2cP0tPT8aUvfYmRhpK1qbGxkRGiXKmuBb4Bj6iXWb4zoGZt4pXqRqxNyah4iXgLCwtRUlKi+n1ahBHP2kRjsMpTrYREnlk+oXDTpk0s0pZcBkQWhD/+8Y84ceKEpKe6Fc8YX/FaGabDJxT+7ne/w6lTp9jRmFpCoVmlejLa//JJlTQOswmFZm28Vypscr+EQRVvRkaGsIqXP1fkt0qNKtW1rE2iK14iALVr8Er1TZs2YWpqSnJeH8/aVFVVhc7OTkQikbjEmwiMVrwEeaTt4OCgpBWpnDCAaT3GuXPnLLc2jY+Ps4rXimpRKdJ2165dOHLkCFJTU1nrVpfLJUko5AnDDES7R2KxGLvGtddei8bGRqZU54WHvFJdLaFQDaIionnQ/NHQ0DDjdzGaUGjWxnulwib3Sxh8xSvKbqJGvEpKdXoxlZTqatameMRrBYh4CwoKUFpaGvf7MzIyMGfOHMyZMweAPmsTTTQ1NTWzsuIl8NamDRs2SKxNFy5cYGl2VNnz1iYSHibyrNEYqqurhUzOubm5mJqaAgCsW7cOK1askCxklJTq/PGLnnPnZLT/VSJeXqluJKGQ3jt5pC1PvKIjouPdp3gJhYnYeK9U2HfjEsbFrngJvFKdvLB6rU2ZmZmGiNcMzATe8NBjbQoEAgCAM2fOYMuWLarWJrPw+XwYHBwEYO35KE8Y5eXleO2111BUVISWlhZVaxMp281Ym0Q/szzxzpkzR6JUV0oopP4KfEIhLzxUIoyhoSH4fD6kpaWhrq5OyDhoDFrEqzehkJTqFGlLf0TvPvBJlUa3/dVsvKS1sDqh8HKETe6XKEKhkPCIV6p48/PzUVZWpvvfGbE28Th8+LCqtSkRWEkoStamCxcu4JVXXgEwPSnx1iZAH2HoHUNVVZWlfcuVrrFo0SJ86lOfAqBsbVJTqjc1NWlam5JR8WoRr5GEwr179yItLU0iPKSEwtlU8fJQSijkd9PkkbaEtLQ0IX0furq6EA6HkZeXh/Ly8oR+lpKNt62tDfv27cPQ0BDC4bCijZd2nBINnLoUYZP7JYquri5EIhFkZ2cL61zFi20SIVsta9PZs2cRi8Xg9Xrx1ltvAVC2NpnFxMQEE1iJIJTU1FS2DVxVVYVvf/vbrMJQsjbxhNHS0qLb2pTMipe/hpK1iT47NaU6f/zCCw954hUV8aqn4iVoJRS2tbXB5/OhtbWVkXlubi6amprYDkoyKt5E+j5UV1ejuroaGzduRCgUQldXF6t8+U6Hb775Jt5++22mVG9pabFEqW5WI6IHFDh16NAhANOxxOnp6ez4hWy8VvR9uFRhk/slCppwAoEAfvrTnwpJbRJlkyHCWLBgATv73LRpE7q7uw0Tht4xVFZWCq946ZiBJwxSqtPOBU8Y77zzDlOq0za3krUpGRXv8PAwxsfHNYmX/PJOpxPXXHMNO7ZRsjYdOHBghrWJdmpEno8mcp/4hMJYLIahoaEZwkNKJwSmd5rGxsaYUt0qwuju7kYoFEJubi4qKios+Znp6emSvg9vv/023n//fRQXFyMajSomFPLHL2aU6iJtdsB0yiJ1aFy+fDny8/NNJxReji1ybXK/REHnZZmZmQgGg5anNk1MTDBxlShCoTFUVlbihhtuAACJtcnlcsUljHgVxsWqeAlaSnUlaxNF2lIGemZmJiNeUumLAI3BCPEqKdW1rE30OWVkZGB0dNRyV0EkEmEhSlb0faioqEBFRYWEMI4dO8ZEomNjYzh8+LDphEI1iKx4CWR5vPbaa7Fs2TKWUKimVKeEQhIexhNDioqI5kHzR3l5ucSNYyah0KyNdzbDJvdLEH6/n22r3X333fD7/ZrWJjNeWHpxKioqhLWIVGqtqUQY/Fap1+uVEAZZm/gKg5CMindkZARer1cX8cqV6pFIZIbwUB5pW1tby85C6+rqhHXwsuI+xbM2UUMWahZktbWJKt6cnBxUVlYm9LPkIMKgZ3bhwoVYunSproTClpaWGUp1LYh+ZuXEq5RQKFeqKyUUainVeeIVFQmr9z4lGjhlRULhxYBN7pcg6KGuqKhAfn4+8vPzFa1NiaQ2XeyKl5CbmytRqo+OjrIKQ8naRIRBW9xEvKI6ldFkbyazOzU1VZe1idDV1YWXX35Z1dpkFlZWvAS5tcnlcuHFF19Eeno6qqur0d3dbbm1KRkVL11j7ty5EsIgpTrtXMgJg1eqNzU1qRJGMivesrIyReK1InBK9JY8YH6OssrGO9thk/slCK2H2kxqk9zaxF9DVOeq0dFRw8TLE4aatUlOGMD0Sry7u9u0Ul0LVtqJlKxNFy5cwFtvvYVoNIpIJKJpbTK7w9LT04OpqSnk5OSgqqoq4XEogRYP8+bNw1/+5V8KsTaJXpBOTk6qEq+WUr2zs3OGUr2iokLSU512ZyjiVY14rYDR+6SWUEh/lAKnQqEQAAh7ntxuN8bGxjQjovVAy8b74YcfwuPxJJxQeLFgk/slBqNbzWpKdSJ8JWuT0+mEx+NBSkqKsDNeqngT2WrWY20CprfhXnzxRVVrk1lQ9zNADKEUFRWhoqIC0WgUWVlZ+OY3v8k+NyVrU0VFhaTC0Gtt4qusZDXgUbM2uVwutLa2SggEmCYMXngotzZNTk6y/ACRFW8sFkNpaammtUquVFdKKBwcHMTg4CAjDNKR0HGbqDEAiS+CKKGQD5zijwX9fj/73j/+8Y/Yu3ev5Up1mj+sTqrkbbwjIyPweDy46qqrkJWVBZfLZSqh8GLBJvdLDG63Gx6Px/RWsx5rE4VuRKNR/Nu//ZuQ1CYRpMgr1aPRKB588EFMTU1hzpw56O/vn2FtIsKgP0a9sL29vZiamkJ2djaqq6stGwcPfgeFlOpq1iYijIMHD0oIo7m5WTPSNhkVLxGv2k6QXKmulFB46tQpplYvLS1lz2VjYyOreOMRbyIwe5/kCYV+v1+ym8YnFBJ6enpY3wczCYVqoKY9ZiNe5eADpyihcMeOHdi/fz8yMjIQCoVMJxRqQfQzyydVbtiwgXUJNJNQeLFgk/slBr7iTbTphJq16c0338To6CgACEltEhHxKgdtNWdlZeFrX/saHA7HDGuTEmHwwsN4FQbfd190xSs/u5Rbm4gwSI+gZG3iKwwijMnJSXR3dwMQG/Eai8VQUlKii3iVEgrl1iYSHhJhkBivvLwckUhEiLXJKkLJycnBokWLsGjRIgBgwsNz584xxwul+AGfKNWp8k2EMGgMVle8hNTUVIyNjQEArr76aqxfvx7t7e1soWYkoVANyZg/+vr6MDk5iczMTDidTvZ1tYRCEh5aaeNNFDa5X2IQKVSh5KaJiQkAwG233YbJyUlVa5PZ1Kaenh4Eg0FkZWUJr3ibm5vZAkTJ2qREGHqtTaKrh2AwyIg3nvaBJ4xYLMasTdQDXynStrm5GdnZ2Yx4RTdDMnuf9Fib6Jn96KOP8OCDD0oWMlZYm8bGxjA6OmpZxcuDlOopKSm4cOECKioqsHjxYrabJleqx0so1EIyK97m5uYZCYUej0eyayFPKCSlOs0rSroDnnhFBWbx86xaAaOUUMgfC1JhpGbjFV3V2+R+CYF/cUQJ3Xp7exnxEjFandqkRLxWI94kpkYYeqxNNOnoJV6zoIq3uLjYEPEqWZv6+vokFQYRBmFychLvvPOOKcKIB6sJRW5t6urqwr/9278BmF7kiLA20RhqamqEdTejayxcuBCbNm0ylVBYXV2tupDhk+ZEkXu8pMrCwsIZfR/44xe5Up1svHQsmJmZye6TyIhoM89senq6JHAqno1XtBDPJvdLCDzxiq545StWK1ObRNtk+IpX78tp1AublZWFWCyGnJycpCfyGQUfaSu3Nh0+fBiRSAR+vx/79+9nhNHQ0CDJQDdb+Xo8HoyMjMDhcAj7vIeHhwFMbzX/zd/8jRBr08WyhppJKOR7qvOLwr6+PuER0XoqXgLf90EtcEpu462trWWaIKt3UAikZwES7/ugFjhFc4pI2OR+CcHIi5PoNeI91GZTmxoaGtiLI6ri7ejoQDQaRXFxsem8biUvLI2to6MDk5OTAKbPun/2s59JCKOxsdGSEA5RdkRSqldWVuLgwYMAgM9//vNsYuWtTUQYfOVrZBchmRUv+dvNJhSqWZtmQ8VL0JNQKI+0pbFRxsLFiIjWA72BU4QdO3agvb3dcqV6R0cHIpEICgsLLeuiKA+cevvtt7F7925LfrYabHK/hCC6epiamjK9YlWyNvEVhtza5HA4sH37dlZhWKlwtnpngCcMsjY9/vjj8Hq9KC4uhtvtViUMUrkbXYx5vV4MDw8LOeMlkCCwpqZG4qCQW5sCgcCMEA5eqa4VaSt6lyaeNVSNMGihpsfa1N/fD7/fj4yMDKaathr8VrNe4lVKKOzt7WVjo0hbPqEQmA6maW9vR21traV9H/RGROuFko33/fffx/vvvw+Hw4FQKCREqZ4MaygtFkXCJvdLBHT2BkyfK0ajUcurd6p4i4qKTFe8hPz8/Ble2NbWVrz//vsYGxtDLBYTltokugGP3++H1+uFw+HAHXfcwSo73tokJwxeeKjH2kRjcDqdluTBK0GpGlWyNskbBZG16ejRozOsTTxh8MQr6rMYGBgwRLxaCYVq1iZqDqTWzdEKWLFwJ8FWXV0drrvuOgSDQSY8bG1txcjICLtWW1ubKaW6FigiuqCggDXDshLFxcVszlu6dCnWrl07w8ZrhVJd9DPr8/lYsqBI2OR+iaCjowOxWAwA8Jvf/EZibTKb2iSHfHvTKvCEQefx119/PSKRCFOqW5XaND4+zprXiKp4lYhXydrECw/lSnUam5q16WJXvAQSbNXX188gjLa2Nk1rU0FBAfx+P9LT04VVvHy2uhniVbM2uVyuGX0fXC4Xnn76afbOWSU8JJU1YH3fB1Kqt7a24qWXXkJWVhbmzp2rqFRPNHBK1PyhdA2+74OZhEI1G6/P52PHF6LePRqD1fkHctjkfomAHojCwkIEg0FVaxP9MRPCIXrbnyfe1atXIycnx1Bqkx5rE0+8iQaRqCEe8ZJSffXq1UypzgsPPR6PpMKQW5vS0tKEVw+Dg4OYmJhAeno66urqdP87o9YmYFp8+OGHH5oijHiw8ixcydrU1taGX/3qV2xhLSeM+vp6ifDQzG5aV1cXIpEI8vPzUVZWlvA4lEDP04IFC/DFL35RV0Kh0cAp0fMHT7zya6glFJJDRK5Ul9t46WydnqeqqirhEdGiig+CTe6XCOiB+PSnP42FCxeqWpvkXtiWlhZdLV7Hx8fZVpHoFauceK1MbUqmqlkP8fJKdb3WpqqqKkxMTCAtLU3SQMNKJFrxErSsTa2trYjFYhgfH8cf/vAHAOYSCtUQDoeFVLyE9PR0pKenIxaLIT8/H3feeadkIeP1eplSnU8o5Ps+6AGfjpisZkjyhEIKnFJTqlNCIS885J+bZEdExyPeeAmFajZeat6VjPnDJncbkjMaUsqrWZva2qZTm3jCIKW6lrWJXpzq6uqLVvESzKY2NTU1KcbIWgm+4jWz1azH2kSdycLhMB599FFThBEPIhZBPGGsXbsW//Iv/4JIJIKVK1eiv7/fdEKhGjo7OxEOh5Gfn4/y8nLLxsGDv09aSnWlhMLi4mLJ8YuadkK0El8P8fKBU1oJhXzgFL+bRj9fD/GahdlnVs3GS4tQ3sZL+Oijj+BwOFhxZJXwcHh4GOPj4+yYQCRscr8EQA+1GvEaSW1SszbNtoqXYNTaRGhvb0daWprlqU00hoaGBkteeCXC+NWvfoXh4WGkpqZqWpu0CEMLfMUratuftprz8vLw+c9/Hg6HQ1dCIa8jiWdtSuYZr3xBKleqKyUUUh93Ig15T/W0tDT4/X7hYTG0eKioqNCdHKiUUMjPKYFAQJJQSDuD+fn58Pl8phMK1WA0MEsLvI138+bNrDg6ffo0C2EaHR3Fvn37mI2X7/uQSOAUjcHqRlFKsMn9EoDRhzpeapOStWl8fBwAhDW3GBoags/nQ1paWkIrVi0v7JkzZxAIBAAAe/bswZ49eyxPbRK5CHI4HCgqKmK9uf/mb/4GkUhE09qkRBjx0NXVhXA4jLy8PGEVr9JWs5ZSnTzaPGGQtYl2LuSEIVp0aIR49SQU9vb2ore3F3v37mWEwffEt5oQCVY8s1qRth0dHSzi9cKFC3j44YdNJxSqYWRkxHBEtF5QceR2u3Hy5EnU1dVh1apVkoRCCpx69913EwqcEl1E8bDJfZYj0RWrXmsT4Te/+Y2qtSkRWF3xEnjC8Hq9+Pjjj7Fw4UI4HA5Va5NZL6zoM14A6O7uRjgcRm5uLmslylubqFEQKdWVCIMqXzVrUzIqXj1bzXoSCuXWJqqeysrKklrxGm1ZyycUApDsnrW1tTHCIIyNjeF3v/udKcLQggg7ojzSdmBgAE8//TQ7lunv71dNKGxpaTEVOEVjSCQiWu815s2bJ0ko1BM4xfd9ULPxRiIRtLe3AxC3Y8bDJvdZDjqjoXPzRKFkbfrzn/+M48ePIz09HaFQKOHUJiWIXrHyL861116LqqoqZm2yygvb3d2NUCiE3NxcVFRUCBmHlrhKThher1dCGBMTE6zCeOedd5i1iSYeUqono+Lt7e1l49ADtYRCJWsTEQYw3fPB6/UiNzfX8r4PfOpfopBH2g4NDaG1tRU7duxAOBxGKBRKKKFQDaOjoywi2or5Qwm04G1oaMBf//Vfw+/3S55LpYRC2n3Ta+MVPX+oJc05HA7dgVO8jZcvjkhHQkmV2dnZqKqqYrulomCT+ywHf0ZjZcVLyMzMZIlamzdvxuLFizWtTWa8sDzxiqx4Q6EQcnJymH+UtzbxhEHb3FpeWCVr02ypeAkFBQUzlOpa1qbS0lI0NDQYJl6joM+6vLzcVEgLoG5t4gkDmF5IPPfcc6YTCtUgsgEPEUZaWhq2bdsGh8OBr3/96+js7ITL5TKVUKgGvuK1oiWyEuTPbE5OjkSpTgmFWkp1Xngo1xUlIzBLTrxq0JNQyAdO8TZeaiIkcv7gYZP7LEcyK17aDtRKbTLjhVUiXquhh3iVCIOvMOReWLI20cQj+rMIBAKmiVdubYpEIjOEh0QYhN/+9rdsbFZ2XxPhWJBbmx555BGMj4+jtrYWQ0NDphMK1eB2u+HxeJCSkmL5GS+B7lN9fb3EQcEnFJJSXZ5Q2NjYKDmiiNf3QdQuTbxsdaWEQqXAKd7GKw+c6uvrw9TUFLKysjSJNxHwuzRGdoCM2njpGsmATe6zGMmoeGnFmpOTM+PFUUpt6u7uZmSv19qUTFWzkfskT20aHR2VZKDLleqEcDiMQCBgeVtYl8uFWCyGsrKyhJu9pKamKlqbdu7cyRoJkVKdJwz67LQIIx5EL4LcbjfGx8eRkpKCb37zm0hLSzOdUBhvDCIrXrX7JCcMUqrTzoXf75cID/Pz8yULGdotSXZEtJ6kSrXAKd7GKw+covFoxdkmCqvsiGo23gsXLgj/LOSwyX0WQ4t4rQK/Yo334vBeWAC6rE1NTU3C2zlOTk4yb7jZl5P3wipZm7q6uliXsj/96U/405/+BKfTyaonK7ywIkmRrE3vvPMOAOALX/gCu6aStYknDCWluhrcbjfGxsaEVrxKxGsmoZDGptT3IZlnvPEmey2lemdnJ8bHx3Hy5Elm46qoqEBTUxPrZikyItpsxUvQY+N1u90Apgn4oYcekhy/GEkoVIOZiGg94G28paWlcLlcKCkpseR31gOb3Gcx+C212VTxEvRYm0ilDgA7d+5EV1cXqzCssv60t7cjFouhtLTUMpWx3Nr0xz/+EcePH0dlZSWi0ajE2sR7YWnSMeOFTUbF63a7kZKSgkWLFiEzM1PV2qREGHqsTTTZ19bWJtR9TgvxtpqVEgrpmVRKKMzJyZEQRkFBgfDGMkYrXoJcqR4OhyXCw76+PqZUJ6SkpGDv3r1obm42lVCoBavvk9zG29vbi+effx6xWAzp6enw+/2WB05ZEREdD6KPR5Rgk/ssBj0QNPkm0jxBCVZUvDyUrE3vv/8+6yTn8/lUrU1GUpvkEN2VDvhEEXz99ddj/vz5qtYm+l2MemGJeEVGvNLzJCdeOWGEQiF0dXWxypcnDLm1SU4YoknRzFazXKlOCYW8tYknjIKCAkxOTiItLc2yPG85+Mk+EbJNS0tjnwMwLTCk3bSTJ08iEonA7/dj586d2Llzp6mEQjXwEdEitpodDgcmJiYQi8VQXFyMu+++WzWhkJTq8r4PenQkyZg/RIkztZAQuT/wwAP44Q9/iHvuuQePPvqo6vft3r0b9957L06fPg2n04l//Md/xF133cX+/9atW3H77bfP+HeBQECyEuvp6cEPfvADvPXWWwgEApg3bx6ef/55rFq1KpFhzEpMTk6yF4fOfXNzcyUvZqJVKlW8IraK6EWjCm/VqlVYuHChqrVJb2qTEkQTytjYGEZHRyXEq2RtiueF1bI2qRGvldC7M5Cenq5IGESIStYmEniRq0LUZ9HX14fJyUlkZmaa6rvP931QszZRClw4HMZDDz3ECMNoQqEWRFVyOTk5WLRoEebOncsEatdddx0GBgZUEwr5ytdI34f29nbLIqLVwG/7qyUU0iJUK6FQy8YresfM6/VieHhY6MJdCabJ/fDhw3jmmWewdOlSze9zuVy4+eabcccdd+Cll17Cvn378N3vfhfl5eW49dZb2fcVFBRItnABSCZAt9uNjRs34vrrr8dbb72FiooKtLa2Ju38ItmgSjEnJwdOp5NZm6z0wiajWxIR75w5c+Jam7RSm9SsTR6PByMjIxel4iUY8cKqWZsulo9XD4gwFi1apGpt4gkDAI4fPw6Px4PmZnMJhWqwquIlKFmbXnjhBQwODiI3NxcTExMzCINXqmslFKpBdMULfBIRXVRUhGuvvRYOh2NGQmFnZ6dq4BQJD7V205I5fyjdJ6MJhRQ4RfNKQUEBI14gOYFZVotwtWCK3H0+H2677TY8++yz+PGPf6z5vU8//TTq6+tZZb9w4UIcOXIEDz30kITcSXyghgcffBB1dXV44YUX2NeSuQpKNmjFetVVV+GWW27RtDaZ9cKKfjm1iNdsapPc2kT3qaamxnSjj3gwep/UvLBUYci9sBkZGQiHwwCmjzZisZjlGov+/n4EAgFkZGQk1GJYy9p0/Phx1jrXLGHEg+hnNiUlhU32t99+O4vfVbM2aSUUqoHOeJNV8dKzpJZQSM+lUkIhLzyUq9WTUfGSs0PPXB/PxisPnOJdKVVVVcKINxmLICWYIve7774bt9xyCz71qU/FJfcDBw7gpptuknztM5/5DJ5//nmEQiH2ovt8PjQ0NCASiWD58uX40Y9+hBUrVrB/88c//hGf+cxn8OUvfxm7d+9GTU0Nvvvd7+KOO+5QvXYwGEQwGGR/p+22SwHyKkvN2kSTjlEvLE+8oles8YhXLbVJj7XJSs2AEqwIrNDjhSX8/ve/x/bt2yUVhtlGMDysrngJvLXJ5XJhbGwMq1evZqQoTyikhY9WQqEaSAsAiPu8Ozs7EY1GUVhYyM6jzSQUkvBQaacnGUJZPboEPQmFZAvlA6eamppQWVnJiFfU/EFjkEdE64GSjVdeHJGNFwAGBgbwwgsvSPo+WPGeWBl4YxSGyf2VV17BsWPHcPjwYV3fT0IwHpWVlQiHwxgeHkZ1dTUWLFiArVu3YsmSJfB6vXjsscewceNGnDx5kile29ra8NRTT+Hee+/FD3/4Qxw6dAj/9b/+V2RmZuJb3/qW4rUfeOAB3H///UaHeNHBn9GovThGU5vkXlh+q2i2VLwENS+skrWJcOHCBWRkZKham8zCqoqXh9wL+/bbb+PQoUPIycnB1NTUDKU6TxiNjY2mfNeiJxieeNetW4eysjIA5hIK1dDR0YFIJMKIVwS02v8aTSik55jv+5CSkiJcXDU+Pi6JiNYLpYRCed8HXngITB/ZdHR0oLGx0fLK18pnVi1w6rXXXkM4HEYsFkNnZyc6Ozuxe/duywKnEo2ITgSGyL2rqwv33HMPtm3bZogQ5DeF/ML09fXr12P9+vXs/2/cuBErV67E448/ji1btgCYPjNcvXo1/vmf/xkAsGLFCpw+fRpPPfWUKrnfd999uPfee9nfvV6v8AxdK2CGeOOlNskJgyqKoqIiTE1NWd6ow8oVq5K1yeVy4fTp02zxQrY0QGptamlpSUh4SGNobGy0rIMbD4fDwSqga6+9FqtWrWJKdbI2yQmjrq6OVRh6rE3UdhcQR+5EvAUFBSgtLWVfN5NQyC9keMKYbdZQOWH4/X7J8Yvb7WaEsWvXLmRmZqK2tpYRr2iNiFpEtB7wkbZKgVO0kPP7/fj1r3/NBLT0XCYaOCW64s3OzkZpaSnC4TDS09Nx5513smY6vI030cApWixaHZilB4audvToUQwODkrU6ZFIBHv27METTzyBYDA4YwKsqqpCf3+/5GuDg4NIS0uTTAI8UlJSsGbNGknLvurqauanJixcuBC/+93vVH/fzMxMYcpjkUj0odZjbaLjitOnT+Ps2bOq1iazGBgYgN/vR0ZGhuUr1vz8fCxduhTj4+M4f/486uvrsXDhQna2ZqUXNhkVL0+8PGEAUmtTW1sbxsbGmFKdCCOetamzs1OReK0Ef5/UiFdvQqGatYkmSlEVr8/nM1XxEnJyclT7PrS1TScU8klwzzzzjCnCiAcR7hFeqb5582Y8/PDDmJiYwIIFC9j2NgkP9+7dm3DglFUR0VqgZ7ahoYEtZFatWmVp4JRoJ48WDJH7jTfeyHqKE26//XYsWLAAP/jBDxQrmw0bNuD111+XfG3btm1YvXq16g2JxWI4ceIElixZwr62cePGGWr68+fPC+uCdbEgYsUqtza5XC68+OKLcDgcKCgomGFtssILy69YRVS8wCcv58KFC9nuj5JSXU4YNTU1kgpD7fcLhULCI16JePPz89lWNg9eqQ5AUXgotzbxIRy5ubm6iDdRmHlmjVqbCCMjIxgYGDCdUBhvDFVVVZYQLd/3gQjj9ddfR39/PxwOR0IJhWqIxWLCfdtDQ0OYmJhAWloabr31VqSlpSkmFCYSOJWMilfNjqgWOKVk45UHTvE23nA4LLx9uBYM3bX8/HwsXrxY8rXc3FyUlpayr993333o6enBiy++CAC466678MQTT+Dee+/FHXfcgQMHDuD555/Hyy+/zH7G/fffj/Xr12Pu3Lnwer3YsmULTpw4gSeffJJ9z/e//31cffXV+Od//md85StfwaFDh/DMM8/gmWeeMT342Qj+jEbUipXOqufMmYOvfe1rzNpEZ2tWeGFFr1ipMxcgreSMpDbx1iYaH29t6urq0iReK8Cfv+ohKlKqr169eoa1qaurCx6PR0IYfLSkqIWwz+djLYYT+by1rE3nz59nu027du3Crl27TCUUakHkM5uSkoLq6mqWwPjVr36Vnb+3tbUxsohHGPEwPDzMKl5REa98xUvEazShMF7glOj5IxKJsIV7vJ0gtYRCOjqTB06RjbewsBDhcFhoRLQWLF8S9fX1sUkXmF4Vvfnmm/j+97+PJ598Ek6nE1u2bJHY4MbGxnDnnXeiv7+fiY327NmDtWvXsu9Zs2YNXnvtNdx33334v//3/6KpqQmPPvoobrvtNquHcFGRzIqXzi7l1qa+vj724BJhGLE2hcPhpFS84XA4LvEaTW3irU18v2nRFa+ZbWA1axNPGPyR2BtvvIEPPvhA1dpkFjQRV1ZWWra1DEitTb///e9x8uRJVtGaTShUQzIq3uHhYYyPj7OucmlpaUypHi+hkO/7QBnoSuCT5pJd8RLkCYUUOKWkVD906BAcDodEeFhVVSW84u3q6kIoFDJFvHptvASR84cWEv70d+3aJfn71q1bZ3zP5s2bmYVJCY888ggeeeSRuNf6/Oc/j89//vNGf8VLCsmoeLVWrDxhqKU2xfPC8sRbXl4uZBxmt5rVUpvUrE3AdGVKR0BWajgmJiYY+VrxeStZm/bs2YPDhw8jJSUFkUhkhrVJ3ijIDETrEmKxGHsvNm3ahJaWFklCoRJhqCUUqoGIl55nEaD7pES88oTCkZERifBQre8DHb+Q8FD0Z8EnVerVPvCBU2o2Xj5wKj09ndmkU1JShPR9sOqoSs3G29raiv3792NqauqibMkDdm/5WQX+jEaUaKirqwvhcBh5eXm6iFdPapOcMEihW1tbOysrXoKWtenChQuMeKlnvJq1ySyIsCoqKiwL0eGRl5eHUCgEAFi7di1WrVolqTDkkbbFxcWS4xc91qZk+HhHRkbg9XolxMsTBm9tovGpJRSSHkFubeKJN5EmO1rQe594pbpSQmF3d/eMvg9OpxONjY3CP4vu7m6EQiHk5OTMsDjrhR4bLzCteXnqqadMJxRqQdR9ojmitLSUFb42udswTLxmkOiKVY+1iV7Os2fPYsuWLYYJIx78fj/TDVj54vBK9crKSvzud79DQUEB5s6dywhDbm1KxAubjIqXP9OPRxhutxtHjx7F0aNHmeOCxqYWacsTr+iIVy3i1ZtQqGRt4vs+JKPiNXoNeUJhMBiU7KbxCYWEd999Fy0tLWhuNpdQqAYR4ky5jfepp57C0NAQysrK4Ha7TScUqiEQCLB7JerzpoU73wUv2bDJfRaBXpyUlBQcPnwYLS0tCaU2aV3DiodaydrU2trKxJIOh2MGYVjhheUrXiu6tymB7tNVV12Fz3zmMwCUrU1mvbBy4hWB0dFRVeJVIwwSVvKEsXfvXkmkbUtLC1Oq0xjq6uouesXLQymhUMvaRO8YvyVsJXp6ejA1NYWcnBzNNtt6kJmZiXnz5mHevHkAPom03b9/P7Py0VgB4wmFWhC9CAoGg6xr3De+8Q3k5ORI+j709/dLEgpJeEhzih7hIQVmiSRe0fdJD2xyn0WgB8Lr9eKtt94CYL55ghL4FauIlpGpqalsG7i8vBx/+7d/Kzlbs8oLa8WWvBbUtpqVrE1Ehka9sKOjo/B4PELPeElcpYd45YRB1iba6uYjbd955x2mVKcGPKImsUQCbwi0qNSyNlFjrbfffhvvvPOO6YRCNchFrFaCEgqPHDkCYFrjlJWVxXbTjCYUqsHqiGgluFwuxGIxlJaWskUIb+PVCpyihMJ4gVOi5w/+Gja525AQ78aNG9HT06NIGFVVVWyVavR8kCbJ8vLypKxY5dYmq7ywoitet9sNj8eDlJQU1a1m3gu7adMmRhhUYWhZm1paWpgSv66uzvLugIRESFFubRoaGmJj461NhKNHj2J8fBwtLS2GlepaoIo3Ozs74YqXILc2bdu2DQcOHEBRURFisZjphEItiJ7seeJdvnw5ioqKJH0faBGqJ6FQTXhIFS9PvFYj3n0yEzjF933IyclJyvzhdruTHvEqh03uswQ88X7qU58CAFVrU39/PyMMXqleVVWlWWEkYzWp9eJoeWH1WptGR0cxNjamSbyJgq949RKvkhdWy9pEn1NGRgbcbrfl6WBWVLwEPtJ2w4YNLKHwxIkT7BzU4/Hg8OHDjDDkwkOztk4+3czKwBsetNC65pprsHLlStMJhWqYnJyU2CpFgIi3pKRE0p+f7/tAvws1CiKlOh84pdX3IZnzh55r6A2c4m28FRUVGB0dBQBhvd5pDGoR0cmCTe6zBEpbRWZSm7SsTaJfTiPEq+aFpQpDzQtLW4i1tbXCKl4r7lM8axM1ZKFwn+LiYkmFkajwsLe3F8FgEFlZWaiurk7oZ8lBCYVkqZw/fz6WLVumam2ihEJ6LuUJhVoQbQ0NBoMz+hmoWZtcLpdmQiH1fZDrSChbXU68VkLvMyvv+8Ar1V0ul2bfB9phE/VZjI2NYXR01HTFqxY4xdt4SZMAAI8++uiM4siKI5PZsCUP2OQ+a6Bnq0gptUmvtam4uBhut1toxcuLq4wSL29tAqBqbSL09PTg5ZdfNkUYWuArXqu27eTWps7OTrzwwgtIS0uD0+lkSnW32y2xNhHZqynVtZCMipc+7zlz5phOKNSyNsmJVwSo4i0uLlbcPeEJY/PmzZKEQlKqU0Lhvn37WGc4njBEN8cBzBOKVuBUZ2enYt8HsoWaTSiMN4Z4EdF6oWTjfeWVV9DT04OMjAxMTU3NEB7yxZGZhRjfk8EmdxtsYjdCvHLCiEQikgpDbm0i5OXlobe31xRhxIOVQhUla1NrayveeustRKNRRCIRU4QRDyIrXgJZoubOnYuvfOUrmtYmIgxeeKjH2pTMile+CIpHGHqtTR0dHYhGo6rEawWMkqJSQiEtrltbWyV9IIBpwgiHwwBg2hceDx6PByMjI5oR0XogD5yiFs9tbW04deoUPB4PAODIkSM4cuSIpO+D3oRCLYiueHNzc+F2uwEAX//619n5Oy88TDRwqq+vz/KIaLOwyX0WwIozGhJs1dXVSUI4eKU6MC1qe/HFF00RhhZEVLw8iouLUV1djWg0ioyMDHzrW99ilb0RwogHfoEiuuKlSUzN2kR/eKU6EN/aNDU1xXY5RImG9BKvWkIhja2vr09ibSKLXnNzsyX96uMhUUIhpfqyZcuY8FBOGIQ//elPOHDggGHC0DsGIxHRekBtcpubm+HxeODxeLBw4UJkZ2ejrW06oVDe94FvFGTExpuMire/v1+SVJmammo6obCurk5RR0KfhaiIaCOwyX0WQMSKlVeqR6NR/PSnP8Xk5CRaWlrQ39+PiYkJCWHk5uZKelcbVdP39fVhcnISmZmZcDqdlo2DB3+fqEWumrXJrBdWtE2GJ161z1sPYWhZmzo7OxGNRlFUVCS84jV6n+QJhRRpS9vcfEIhob+/H4cPH0Zzs7mEQjV4vV626LXi8+aFh6RU37lzJ/bt24eMjAyEQiHTCYVaEF3x8tbQdevWoaGhAbFYbEajID0JhWqQE68IaBGvPKFwcnJScvwyMjIiSSgk4SGNj4SHs+W8HbDJ/aLDSlWzGvr7+xnxfv3rX4fD4VBMbUrEC3sxKl6CWmpTPC8svZhkbUpmxauXeJUIQx5pK7c20SRaUVGBSCQipIKwyk7ER9ryhHHu3Dkm4KJJFZAmFDY3N8dVqusZg9PptKRzohypqanwer0Apknx6quv1pVQKCcMLSSj/e/AwAD8fj/S09MZ8fKBU0oJhZ2dnYoJhbzwkLfx0hiSEZil5z5lZWXNSCikRQzZeOXCw8bGxosa8SqHTe4XGf39/cLPaPgVKxFvvNQmNS9sS0uLorVJ9ASjp+IlmPXC5uTkCK94eaGbmQpULdKWtBYjIyPw+XwAppX4P/nJTyTHL3oIIx68Xi9rXmOlj5cnjLS0NFy4cAFlZWVYsmQJaxSkllBIwkMjfR+SWfE2NzcnlFDY3Nys2I2RJ15REdF6tprVEgrpueRtvEqBU6JFh6FQKKGkSnng1ODgoKTvg8/nY4WRyIhoI7DJ/SLjYla8BD2pTbwXlqxNVGEUFhbqJl6z6OzsRCQSQWFhIUpKSnT/OyNeWEIwGMT27dtVrU2JwGpdgpwwenp68NxzzwGYFiUGAgEJYZDwkI5gzLTvpTE4nc6EKmc911iwYAGuvfZaXQmFpFSn51LL2pSM9r+Dg4OYmJhQJV6jCYXl5eUSHUlmZmZSznjNLIKM2ngJk5OTQvo+dHV1IRKJWEK8vI2XD5zavn07enp60NLSclEiXuWwyf0iQ3T1QOfRRq6hJ7WJV6pnZ2cjEokgOzs7Kf3FE3lx1Lywra2tOHLkCCKRCAKBAPbt26dqbTJ7/fHxceazFXWmT2fI1dXVuOOOOzAwMMAqDCXhIU8Yeq1Nya54CXoSCum/qe8DX/ny1iaeeEWd8VI1qmerWSuhkHbThoaGMDQ0hPfff589x+Pj4+waIsBHRCfyeSvZeKmqb2trY22rd+/ejd27d5tKKNQCvzNgNfFS4FQkEgEgtq2tEdjkfhGR6FaRHlDFW1BQgNLSUlM/Q8va1NHRwVLgAoEAHnnkkYRTm5QgilCIMKqrq/H+++8DAG6++Wb09PSoWpvMemGpGq2urhZW8coXQUQYcmsTKdXlhMELD5WsTck44x0cHITP54u71awnoVDN2kTHCg0NDZZbQgmJ3Cc+ofDGG2+E3++XdJYjpTphz5496OrqYuMzmlCoBhFJlbyNd926daz9b2VlJTIyMhRtvHKlutHPTLSuaWJigkVEz4bzdsAm94sKUjU7HA7s2rWLnR1a2bfZ6hWrkrXp5z//OcbGxlBUVISxsTFVa1Nzc7MpL6zP52O2KFGrYpqIq6ursWbNGqxZs4YRBlUYiXphk1nxKm0189Ym4BOlOhHi2NgYU6rz1ib6NyUlJRgaGoLP50NaWprwM14jxKuUUKhlbSJQFKvZhEI18BWvFdv+OTk5M/o+HDp0CAcPHgQwrUkxm1CoBZEVL4FEaBs2bMCyZcsUbbxqCYV6bLyiIqJ58EmVVuTNWwGb3C8iaBKLxWISwigtLWXVk5HUJiUko5nJ2NgYAOA73/kOHA6HqrVp586dioShtyFLVVVVQql4WlAiXp4w1JTqer2wsVhMuGjIKPHySnUAisJDubWJJi6ryZCHFXZEubWJJ4zW1laMjIwAADv3NZtQqAYRFS+P4uJidv+XLFmCdevWSXQkRhIKtSB6/lAiXj2BU3IbLy2ulWy8ySDe2WSBI9jkfhFBD8S1117L/s5bm3gvLL2YRrywydgqUiJeubWJKl81wuArXyXyvlhnvHKoKdV5a5PcC0uEUVxczIhXVMSrmYqXh5a1qaurizUyAaarrX/9139VtTaZRSQSsbTiJfCE0d7ejn//939HRkYG5s+fzwjDTEKhGqzSiOi5BjlYSKlOx3302WklFDY3q0fa+v1+llQpev4oLy9XFXdqBU7xCYUUOEU2XiqORC+qkyHONAOb3C8SeOJdu3YtcnNzVQlDb2qTHPTAVVZWJrXiJfDWJlKq9/X1saqeCEPJ2sQr1UWT+/DwMMbHxw0Trx5rE08Y9G9OnTplijDiwYqKl6BkbWpvb8evfvUrRKNRANC0NlVXV5sita6uLoRCIeTm5qKioiLhcSiB7tP8+fPxn//zfzadUKjnGqKOkfiIaPk10tPTVZXqbW0zEwopcIrv+wDoI95EYfTdVguc0rLx0sIlLy9PSN+H0dFReDwe9g7MFtjkfpFAL46ceK30ws6WipfAE4Yea1Nqaiqqq6vh9XrZ2b0I0BgStb1pWZva2toQi8Xg8/nwhz/8AcD0pEkTKlmbzILOjgEx1UNGRgYyMzMRjUaRk5ODu+66S7LNbTShUA3JrHjpmTWaUEjPMY1N3veBJ95kVLzxFolagVMkPJQHTjU1NbE+7LO54tVj4yUV+7vvvos9e/aYTihUA43BTGCWSNjkfpGgd6vIrBe2qalJ+HbUyMgIvF6v6RWrHmsThZNEo1E8+uijkrM1q+IzRSyCeKX6unXr8OCDDyIUCmH58uUYHByUWJuIMOQZ6EaEh93d3QiFQsjJyREWUMI/T/n5+aYTCrWsTaIXpHqIVymhkFeqU0IhH2nLV74k/tRDvGbBN0MyAnngVDQanSE8pCArwscff4y0tDTTCYVqcLvduiOi9UJu4929ezd27dqFnJwcxGIx0wmFWhC9S2MWNrlfBJi1Exn1whK6urqQmZlpmDDiga94rThvVbI2/fa3v8Xg4CBSU1NnWJuIMOhszYwXlq94RREKT7x/8Rd/AYfDoRhpKw/h4CuMeNami1HxEowmFJLjQm5tSkbFSxGvZWVluolXThjUIpc+v0AgIFGq07uQn58Pn88nRMRlVTMk2hGrq6vD5s2bWULh2bNnmRhvdHRU0vfBqsCpZFS8tNBat24dNm3ahP7+fvZcdnR0JBw4JTowKxHY5H4RMDo6yireRFasWl7Ys2fPMv/5nj17sGfPHglhGE1tUoLIKovO60mJ/+1vfxvRaHRGhcETBp+BrlfN3dPTg6mpKeTk5KCqqsrycQDSlT3db6VIW37XYnJy0pC1SXTFOzk5qZt4lRIK+RAOubWJhIe5ubmIxWIoLS0VXvEmcp+Ki4uxatUqrFq1ivV94BsFUUOWtrY2PPzww6isrJQcvyS6EDYTEa0XlFBIanun04m1a9ey59JoQqEWRFe88twO3sZLgVNdXV3ss5MHTumx8SYjItosbHK/COBXrFZ2dOO9sBMTEzh37hzmz5+P1NRUU4ShhWQE3vT29mJqagrZ2dmoqamBw+FQtDYRYZBSnSeMeNYmJeK1GnqIlyeMaDQqqTA6Ozs1rU2VlZUsWEXkGS8Rr9E+DPJIW7I2UeXr8/kkokOPx4NXX31V1dqU6DgA6+6TnDCGhobw85//HMD0Z8Qr1fmEwnhKdS3Q85RIRLTea8ybN29GQqG874OZwKlkVLzxkirlCYVKgVPxbLz8/CGqfbhZ2OR+ESC6yopGo2yredOmTaipqZEQhpoXtqqqik2o8bbaqeLNzs4WVvFqhazIvbAej0fyYuq1NiWj4jVKvCkpKXA6nXA6nczaRCEcStamlJQUxGIx5OTkwOfzIT8/3/KJxsr7pGZt2rlzJ0KhEMLh8AylOt/3wSyhjY2NYXR0FA6Hw9LAGx7UNa6+vh633367ZkLhjh07WEIhLzyMt8hMxvyhRLx8QuGGDRtY3wd6LrUCp+Q23mRERPPzh573IV7gVDAYnGHjJbHebPK3E2xyTzKSUfH29PTM2CpSIgy5F5aU6uSFlfdU518Qoy+OGRi5T4WFhTMIg68wlKxNDQ0NwgNv6Iy3pKTEtABQKdKW38KnWFG/34/nnntuBmEYCdpRgyhCIaV6ZmYmtm3bBgD4+te/zrQkvFKdCEMuPNRrbaJnNhkVL201m0ko5IWH8jbFdDQFiHtm9RIv3/fhhhtuwOTkpGQhoxQ4RbtpJNi7mIFZWtATOEU9H8xeQzRsck8yknFGwz/Uai+OHi+slrUpGZ3vSClv9BpKqU3yCoMIg/Dqq6+aIox4EDER5+bmSpTqW7ZswdjYGGpqajA8PGyYMOIhGRUvf1RFDgo1a5Ncqa7X2iT6mY231aw3ofDYsWM4duwYAEiEh/X19RgcHGTEKzoi2ijxZmVlqQZOuVyuGTZeAEzQJrfxJgo+ItqKbX+lwKkDBw5g165dQiOiE4FN7klGMipeM0IVo15YAqWoJZraJEd7ezui0SiKi4sTfnF4a9ONN97IlOq7du1iASJmCSMeRFdZXq8XY2NjcDgc+MY3voGMjIwZ1iY5YfDCQz3WJhpDTU1NQq2Q9VxDfp+MJhSqWZuSEXjT39+PQCCAjIwMXcSrllDI933o6+tDX18fU6oTASaSThgPVgnd1AKnLly4wI4NSScDmEsoVENHRwei0SgKCwuFEG9GRgYTLIt0qCQCm9yTDFrZi1KI8hWv2RVrPC9sV1cXYrEYAOCtt97CW2+9lXBqkxwiJ2JSqu/cuRPAdApcSkqKxKNthRfW4/FgZGQEDodDeOANT7xK1ib67IaGhphSXa+1STQpxmIx3VV1vIRCNWtTUVGRIeI1g0TFVfK+D9QYiO/7QNvZHR0deOihh9humlWBU6QgB6wVuvHCw8rKSrS3tyM3NxfLli2Dy+UylVCohWRYQ0XvBCUKm9yTiKmpKSa42bNnD3p7e00p1bVAK1Yrt4rkXtg33ngDR48eRUVFBVPQJpLapIRkVLzDw8NwOBxYsmQJsrKymLWJ76mulIFOhEHCQ7UKg8bgdDqTXvES5Ep1PvNcj7WpoKBA+CTW398Pv99vmHiVEgrJ2kSEQdYmQmpqKvbt26dqbUoEVj+z+fn5kr4PfX19eO655xCLxZCenp5QQqEaOjo6EIlEUFhYaIlWQwn0rM2bNw+f/vSnAZhLKNTb90EExsfH2XM125rXEGxyTyI6OjpYxevz+SxJbZJD9EMNgAV7bN68GVdddRU7n1cjjNzcXEmFEc/aRMQLiHtx6HeTEy/55Z1OJ/PC8hnoci8sWZuowuCtTcmoeI1eIz8/f4a1iT9+kVubCgsL4ff7kZaWhrKyMiHjoDE0NjYmpHWQW5uIMFpbW/Hhhx8iHA4jEAhg586d2LlzJ7KysiR9H/Qo1dVAzwkgru+D3+9HLBZDQUEBvve9781oFCRPKKypqZH0fdBzby+WNZRPKKTAKbnwUK5Up7HJA6d8Ph8jXlHvHo2hurrasIYlWbDJPYkgQlm+fDkWL14sIQwzqU1KoIdOlHdUiXgLCgo0vbATExOGvLB8xWv1WT5BbzWqpFRXszYRYVBjIbLhiZpgBgYG4Pf7kZ6ejtraWsP/nrc2qUXakiI4HA7j4YcfNp1QqAVRiyAijHnz5rFdl2uvvRZDQ0NxEwqbm5sNTdqdnZ2IRCIoKChAaWmppeMg8PeJQo7q6+vjBk5RQmFjYyMjRLXAKdHzB0+8agt3PnBKKaGws7MTHo9nho2XPjdyj4gk3tm+JQ/Y5J5U0IszZ84cRcIgNbc8tUmvtWl8fJwJxESrmtWINxEvLEVXzsaKl2DU2gQAH3zwASYmJkwp1bVgVcVLUIq03bp1KwYGBpCTkwO/3286oVANZMkExH3enZ2diEajyM/Px3XXXQeHw2EooZCEh1q7ack449V6Zq0InPL5fKxdq2iNCB8RHQ9KCYXU98HlcklsvPv372f3Pz09Hb29vaYTCtUQi8WE53ZYAZvckwSeeOUvjhJhyDPQ9VibeOKdLStWM15YagxRWlqKWCxm+WQ5ODiIiYkJpKenJ5Q0p2VtOn78OGudyxOG3NqUiPBQ9CIoLS0NIyMjAKbb/6anp7NFjF7CiIeuri5EIhHk5+cL3/bniddoQiFVylT5ytXqoj+LiYkJRrx6+z4YDZyi47KKigphEdFWVLwZGRkzbLz0XFJCITC9qHv22WdNJxSqYXh4GD6fz3BEdLJhk3uSoPeMhicMUqrzZ2tKXliyNvX19QEQt+q2wk6kxwtL+MMf/oAdO3ZIFjJWeGFp1d3Q0GBptjNvbers7MTY2BhWrFiBjIwMuFwuRWuTvFGQ3oVMOBxOSsUbDocZ8TocDolSfWBgQNJTXS2hUMvaxFdAF7P9r56EQvpv6vvAf279/f0AxFe88ohoPTASOAUAQ0NDeOGFFyR9H6wQHoqqePnAqcHBQTz11FNwOByYM2cOOjo6TCcUqoHGkOjiXDRm7292mcHsipUnjM2bN2NqakpytsYr1QltbW3Yt28fWlpaEkptkmNwcBA+ny/hipeH3Nq0bds2HDx4ENnZ2QiFQgmnNilBdJXFE+/69etRUVEB4BOlOlUYPIEA02fEfIWh1dGuq6sL4XAYeXl5KC8vFzIOra1mnjA2btyIcDgsER4qWZuosxxvbRJ9djkxMcGI18g1lBIK5X0feKU6MG2x7OrqMq1U14KVz6w8cCoQCKCtrQ1/+MMfEAqFEIvFEkooVMPw8DDGx8dNR0TrAW81/vrXv45IJKIYaRsvoVDPNWbzljxgk3tSwK9YExWqZGRkKFqbzpw5w3zZVB2+++67CaU2yUETTENDg5AVq8PhYGK9a665BmvXrp1BGEZTm+TgiVeUaEiNeOVK9eHh4RkhHHqtTcmsePVUo2lpaYpKdd7aJCeMuro64btNNBFXVFSYjl51OBwoLy9HeXk51q1bN4MwyBceCATw61//mjkueOFhIu+L6AY82dnZqKysRCgUQmpqKu68805JZW9V4BSNwaqIaK1r0H2ihYRW4JSajbelpWVG4FQyIqKtgk3uScDQ0BA7o7Gq4iUQYVDjlbq6Olx11VWq1qbS0lJJCIeRCsPIZG8GcuLVQxjxUpvkxHexK14CTxhqSnW5tYknDNG7D36/nxGvmWvw1iYAisJDPgnu+eefV7U2JQIR94knjM2bN+ORRx7B+Pg45s+fj5GREUlCISnV9SQUqmFkZMSSiGgt8MRLglg+oZBXqmslFGrZeEU/s3qIVx44RQmF9GdiYoLZeN955x0WOEXPptvtFh4RbRVsck8CRFe8/DUWLFiA9evXqxIGKdV5L6wea1MkEhFe8XZ3dyMUCiE3N5dtZfMw44XlK9/c3NyLrmpWg5JSXW5t4gmD4Ha7MTg4aEqprgWqeMvLyy3ROShZm/70pz+hr68PDodD09pkttJLRsvZ0dFRttV86623Ij09XZEw9CQUqoHGYHVEtNI15PeJD5zi+z7QjpNeG28yKl4zSZVqCYUkPJQHTtH5vMg+AFbBJvckQHTFq/bi6CEMvdamrq4uTeK1AkaIV68XVm5t8vl8ACDszC8QCDD9QyKft5a16eOPP0YwGAQA7N69G7t37zalVNeCSFIkwiDx5Je//GWmxG9ra5thbYqXUKiG0dFReDwepKSkCK94eeLVIgy1hEJeeChPrBO9QOEjouNdQ63vg5qNl5TqhYWFjHiTEZhlhnj5wKkNGzawwCleeMj3k5/tsMldMHjiFV3x5uTkoLKyUvX7EvHCEmHNtoqXoNcLS3jrrbdw+vRpdrZmVRAHX/HGq8iMgLc2/fGPf8Tx48dZRatmbaKtxIaGBkMRp3zFK+qZdbvdjHhbWlqYvQmQJhSStUkroVDN2sQTbyIhJFqI98yqEQY9l3xC4aFDh9hzzFe+yah4g8GgoYqXEM/GS0p1QjgcxhtvvMGOX6xsUmX1IogPnLrhhhswNjaGxx57zNJriIRN7oKhl3gTgdkVq1EvLDC9Uj9//nzCqU1y8BWvFS+Okhf2vffeYxNoJBKZQRj82ZrZ7HXRuzTAJwuIjRs3Yt68eZrWJhqvPANdq/J1u90YGxsTWvGSIFCJeLUSCnnCiGdtSkbFa1Q5zRMGAJZQSONzu92ShML09HSEQiGkpaUhPT1dSN8H/plNxPKmZOMl4eGBAwcQDAYRCoUSSihUQyIR0XpBxUFJSYnp+SGZsMldMOjFqa2tnZUVL0HNC0viEnqwaRIyShjx0N7ejlgshrKyMksrXkJeXh5rjrNq1SqsXbuWbSUqWZuIMEh4qLfCSEbFS8RLBKFkbaKtUpfLBbfbbcjalIyKVy8pyhMKI5HIjJ7qvLUJ+IQwrHKoqKG3txfBYBBZWVmmt5opofCqq64CAKYjIcKnbeBwOIynnnpKolRvamoy7QDgIWoRRG6WiooK7N69GwDwhS98gR1TmEkoVAPNHyKJV/Ri0WrY5C4Y9ECcP38ejz/+uKq1ySwmJydZHrKVDx1PGDU1Nfj1r3+N/Px8zJ07V9XaRN/f0tISN7VJjmS8OHSNOXPmMMJQsjYpeWH1WJvcbjfcbndSKt7a2lpV4lUjDL3WJtG7D2YqXgIJturq6pi1qaOjgy3UeGsTYefOnaYIIx7os0i04uVRXFyMVatWsYTCZ555Bv39/SgtLcXY2JiiUp0/fjEquEtGxUvEW1xcjJUrV7KvG00o1LLxJnP+sMndhoR4HQ6HprWprq7OVLc0enFKS0styXNWAq/Ev/nmmwFMEwZVT0QYelObtK4h6sXRIl49Xlg91iZ+l8bIGbcRmLlPPGGQtYk+OyVrE5FfZmYmQqGQ5Qrtvr4+TE5OIjMzE06nM6GfJY+0JaX6wYMHWbtWeUIhf/ySyC6R6GYmU1NTLGTltttuQ15e3oyEQlKq8wmFcqW6Figiuri42LKIaDnUnlmjCYVagVOi5w+Px4ORkRE4HI5ZG/Eqh03uAsET7x133IH29nY2qVrlhU1GgIHSVnNxcTFWr16tqFSnEA65tYkmVLm1aWxsDKOjo3A4HMIDb/QQrx4vrJK1ifqwJ+OM1+xWM29t2rRpk8TaREp1iiX+85//jHfffdd0QqEaRFS8BFKq03N3zTXXICcnR9XaRIRBxy96F2VTU1OseY2oz5uIt6ioiBGv3oRCpcAppUjbZM4fWtfQk1CoFjhVWVmJ4eFhocRLY5BHRM9mJETuDzzwAH74wx/innvuwaOPPqr6fbt378a9996L06dPw+l04h//8R9x1113sf+/detW3H777TP+XSAQULyReq97scE/1HLCIKU6vZxywiClOr2cahWG6OpBD/HKleqU9KVkbSIvLG9tomYpyah4zbz8er2whBMnTsDv96tam8zCyoqXILc2bd++HXv37kVhYSFisZhmQiFloBuF6CqLJ94VK1agpKSEJRTKhYdywqitrWWL0JqaGtXdtPb2dka8aimNiSLefTKaUKgUOCV6/lCKiNYDIzZeQkZGBk6cODHDxmsFLrUteSABcj98+DCeeeYZLF26VPP7XC4Xbr75Ztxxxx146aWXsG/fPnz3u99FeXk5br31VvZ9BQUF7AyQoETseq87G6D1QMiV6oODg5JWpHqsTfxW0WyoeAnp6ekzlOp8heH1eiVKdZpAs7Ky4Ha7Ld8etKLiJahZm06ePMmqxbGxMRw6dAiHDh1ihMELD82G1VilatYCTZYbN27E6tWrJUr19vZ23QmFauCJV5TQTaniBaYJg7c2BQIBCWGMjo4ypTolFPLCQwrPAWbfGa9WQiHtpskDpyoqKlhYjNWdM+VjUIuI1gstG+/Zs2cRiUQQDAbx5z//GYC5hEI1JKMZkgiYInefz4fbbrsNzz77LH784x9rfu/TTz+N+vp6VmEvXLgQR44cwUMPPSQhd1JrW3Xdiw0jxMsTRrzUJt7aRIsfkVtFVjzUWtam9vZ21pCFPPaJpjbJ0d/fj0AggIyMDNTU1CT0s+QgaxMR1pw5c7By5Uq2UOMJY/fu3RLCaGlpMRTCIVroRr0BgE9slbxSnbc2kfBQLaFQzdpExFtYWCj8jDdeF7Hs7GzVhEJSqp8/f55lNuTn57PnknbYRE32WhHResAHTvGRtvRcUkYDYcuWLaYTCrUgihSpOFq+fDkeeugh+P1+rFq1irWkNpNQqIaBgQH4/X5LA7OSAVPkfvfdd+OWW27Bpz71qbgke+DAAdx0002Sr33mM5/B888/LxHr+Hw+NDQ0IBKJYPny5fjRj36EFStWmL4uMK0EJeIApreIkgV6qGtqagwTr5q1iffC0iQMTJPXK6+8omptMotYLGb5tp2cMHp6evDcc88hNTUVTqcTPT09itYmXnho1AubjIqX7tPcuXMNEQYp1WmrW83aFAqFhFe8nZ2djHiVtprJ2lRXV4fNmzczpTqNTY+1yWxPBiMwa0eUJxTyPdU7OjpmJBQC0597RkaG6YTCeGNwOp1xd0P0QB5pOz4+jt/85jfo6upCRkYGpqam2FgBaUJhS0uLKbFuMpohDQ4OMuL97Gc/i7S0NImNt61Nf0KhGmgMjY2NlkZEi4Zhcn/llVdw7NgxHD58WNf39/f3z2jeUllZiXA4jOHhYVRXV2PBggXYunUrlixZAq/Xi8ceewwbN27EyZMn2cNo9LrA9Nn8/fffr39wFsLKFauStam1tRVvv/02IpEIIpGIJalNcvT398Pv9wupeAl8976vfe1rEmuTy+WSEIY8tUmvtUn0lhqJ0pSuoUQYNLaOjo4ZSnWKtCXhIRFGR0cHIpGIKvFaAaNJc3Kluh5rE/UaEBW64fP5WEWayA4HRYFWV1dj48aNbHHV2tqK06dPw+PxAABbhJpJKNSC6F2avLw8uN1uAMBf/dVfIT8/33RCoRoGBwcxMTGB9PR01NbWChkHPVt8bgdfHAH6Egq1AqdEfxaiYIjcu7q6cM8992Dbtm2GqlH5REFqXPo6BZ0QNm7ciJUrV+Lxxx/Hli1bTF/3vvvuw7333sv+7vV6k7KtIvqMpri4GLW1tYhEIkhPT8e3vvUtdnaYSGqTHMlYscrvk5K1iX8x5YQRz9qkRbxWobOzE5FIBAUFBSgtLVX9Pp4w+BAO3trER9qStampqUmyRSuq4k10l0aPtYnw1ltv4dChQ6rWJrOg56m6utqSipeQnp7Oflfa8p0/fz5T4ns8HklCYVZWluS83kjfh2RUvHxSZX19PdLS0iQJhT09PazyVUoorKmpYe+cWuAUjUFkYJaeZ1ZPQqGajbeurk54YJYoGLrjR48exeDgIFatWsW+FolEsGfPHjzxxBMIBoMzPuSqqipJT29gekWXlpamOhGmpKRgzZo1rMe5mesC00QhSn2tBf6MRvSKtbGxkZ2tqRGGntQmJSSj4qUXR+0aBQUFMwiDrzDUrE1E+N3d3bqINxGYzVZXC+FQsjYRBgcHceTIEVVrk1n4fD7mC7eiQlGyNu3evZvZPsPhsKq1qblZO6FQC6KrLJ54161bh6amJpZQyPdU10oobG5u1lx4iIyIJihVvAS+70M8pTp9nkqBU6I/i3A4bKrvvlbglJKNF4DQiGhRMETuN954o8TyAwC33347FixYgB/84AeKL+OGDRvw+uuvS762bds2rF69WrWCjMViOHHiBJYsWWL6uhcTyah41VasRlOb5F5Y2vLVQ7yJoqurC5FIBPn5+SgrK4v7/Txh6LU20Rl2RUUFotGokM/DqkWQmrXp/PnzTMDFd18zqlTXM4aqqirLstR5pKamMs3LmjVrsGnTJknfB3lCIZ1jywlDC8mueIl4+YRCUqr39fWxd44IQ55QSMcv8ijX2VLxEswETjU2NlrmUFFDd3c3wuFwQkmVaoFTvI0XEKsREQVDT05+fj4WL14s+Vpubi5KS0vZ1++77z709PTgxRdfBADcddddeOKJJ3DvvffijjvuwIEDB/D888/j5ZdfZj/j/vvvx/r16zF37lx4vV5s2bIFJ06cwJNPPqn7urMJoivecDism3jjpTapWZuoF7te4jUDsxUvQW5tmpyclFS+lLUNABcuXMBPfvITVWuTWUxMTEgmAKvAW5uysrJw4cIFlJSUYNmyZarWpurqajY22mrVC9F+ZznxygmDhIf0+WklFKpZm4aHhzE+Ps62mkVAD/HyhMEr1em5HBwclETa0u9LW8GiG8skmq2uJ3CKusoBwO9+9zvJsaBVu6mJzh9KkAdOPf300xgYGLikLHAEy5eFfX19EiV3U1MT3nzzTXz/+9/Hk08+CafTiS1btkhscGNjY7jzzjvR39/PHpw9e/Zg7dq1Vv96wmGEeM2is7MT4XAY+fn5hraKlFKb+BAOnjAI4XAY27dvTzi1SQlWE0pWVpZEqd7b24tnn30WwLQoUcvapKVU1wJN9pWVlUIqXv4aCxYswLXXXqtKGH19fejr62NKdb3WplgsJpxQiHjpWEgOufBwYGCAVb6dnZ26rE10n4wubIzAzFazXKnu8/kklS8vRNy+fTv7d8FgEGNjY5YHoXR1dSEUCiE3NzfhpEq1wKmdO3cyd4eaUp36PpgVHoouogKBgKVHVclGwm/Arl27JH/funXrjO/ZvHmzhDDkeOSRR/DII48kdN3Zgq6uLoTDYWRmZlqaVczDKjsR74XdvHkzpqam2Nna0aNHEQ6HEQgEsG/fPom1iSqMREI4/H4/60wn6uUcHR0FME28f/d3fyexNnV2ds6wNpFSnSoMPdYm0ROMmjhTydrE71rwhAFIrU3Nzc0SwhgZGWHEm4yKN56gkyeMjRs3IhwOS7ZK1axNExMTACCsoRNf8Say1ZyXl4elS5di6dKliMViGB4elpB9OBwGAOzZswd79uyRKNWNJBSqQaQdkZTqtEj53Oc+h7y8vBk2Xr0JhWqwOiJaCVR8lJeXC0mqFA27t7zFoAooGAziZz/7maq1KRGIEqpkZGRg3rx5qK2txfvvvw9g+uWkxiW8Uv3dd981lNqkNoaKigpLYiuVIN+2461NSoTBK9X1WJuS0blqZGQEXq83LvHm5+erEkY8axP1xJf3/LcSidyntLQ09rsC6tYmwt69e9Hb22tKqa6F7u5uhEIh5OTkJFzxEhwOB8rLy1FeXo5169bh3Xffxb59+1BeXo6srCx0d3drBk6pJRRqQbTQjSfeBQsWoKCgwHRCodpuGBGvqIhoQJqBcCnCJneLQQ9dYWEhPB6PqrWppaXFVAhHMipeGkNFRQU7GtGb2kRji2dtulgVL0EPYfDWJiUvLE+8oiJe+a1mvcQrJwze2kQZ6DxhEGKxGDo6Okwr1dWQ6BmvHErWpiNHjuDAgQMApjvtJZJQqAaRFS+BjvQ2bNiAFStWmE4oVMPk5KTwipcCs5SIVymhkN9N02vjFT1/ABAuCBQNm9wthN/vZy/O3/7t3yIlJUXV2kRe2HipTXLwW0WJ9EvWgtL5q5HUJt4Lq2RtSkbFOzo6aoh4ecIga1M8Lyzdf6fTOSsrXoIeaxMwPSlv3bqVWZuIEBMN4ejp6cHU1BSys7OFNK8pKSlh9/+qq67C1VdfrWltIqU6CQ+N9n0Q9czyEdF0DaXAKX5OUUsopD9ycnW5XMIjovXqN/iEQt7GyycUqtl4STcj6rPQioi+VGCTu4Wg6oQn3kRTm+S42BUvwUhq0549eyRe2NLSUng8HqEvDo1BbjPSA97axHth+Qx0j8fDupR1dXXhX//1X00Rhhai0ailFS+BV6p3dnbihRdeQHp6OubPnw+Xy4WJiQnDSnUtJKPi5auseNYmXqkuTyisqqpS3E1TIl6rwUdEqxFvYWHhjIRCrb4PZWVlkvP6ZFa8Rq+hZOPlt/B5Gy/h+PHjGB8fN51QqAa6TyKTKkXDJncLobViNZPapGRtEu3jdbvdpojXqBcWmFawnz171hRhxIOVk5iStam9vR2//vWvWTtVOWHwwkOzIRw9PT0IBoPCKl7gk/s0d+5c3HrrrarWJjWluh5rUzIqXkqzk19Dbm3iEwpbW1uZEJESCrOzs2fspgH6iDdRGHUsKAVOdXd3M7Lv7e3F8PAwhoeHWeAULVwKCgoQiUQs7/ugJyJaL3JzcyWBU2TjPXbsGFOx8+f1xcXFkuOXRISHyVgEiYZN7hbCyAOhltqkZW2qrq7G2NgYHA6HMFUzTTB1dXUJif+0vLBtbW2IxWKYmJjA73//ewCJpTbJwUe8ing5MzIykJ2djUgkgqysLPyX//Jf0N7ezpoFya1N2dnZbDempaVFt7WJFz6JCryRP7Nq1iYaD59QqMfaFAwGVYnXKhDxlpSUxL23WgmFLpcLgUAAZ86cwZkzZwCAJRSOjY0JHQOQOKFQQiGRqlLgVDQaBQBs374d7733HuvBbjShUA00f1hd8fLFUUdHBwYGBrB8+XIUFRWhrW06oZC20vmEQnoujdh4Rc8fyYJN7hbB7XZjbGwMKSkpplaseqxN5BuNxWLYsmWLqrUpEYh4qHnCWL9+PR588EFMTU1h2bJlLBgmkdQmOXp7exEMBpGVlYXq6mrLxsGDJ96CggJNpXogEJihVOeFh2oVhujqQQ/x6k0oVLM2DQ8P6yZeszB7n+QJhZFIRNL3gQiD0gmBafLavn27YcKIBysrXoI8cGrv3r1ssQlMk7+aUr2pqcmUiyUZzZDoGitXrtSVUGg0cIoiojMzM4UFZiUDNrlbBH7FaoXdTcna9Lvf/Q4DAwNITU21JLVJjmSsWHt7ezE1NYWsrCz8xV/8BVJSUnSnNhEhxrM28RaWZFW8BDWlOo2NV6ofPXpU1dqUzIq3uLhY93mlUkKhlrWJ3oXCwkJMTEwIafRj1SKIBFt1dXW47rrrGGGcPXuWifFGR0exd+/eGYTR0tISV6muZwxmIqL1gjI+1qxZg+uuu07SU11NqU7vnJ7+BMkQyvb19SEQCCAjIwNOp5N93UxCoZqNl8/tEDV/JAM2uVsEkaRIW1Ik4PrWt74FAKrWJjlh1NXV6Tpb6+vrw+TkJDIzMyUvjpVQ2mqWW5v4EA4iDCPWJtELFJ5442kfeKU6EYYea1N+fj6i0SiKioosFQrxsGIijmdtmpqaAjD9mTz00EOmEwrV4PF4MDIyAofDYbkfmQhjYmICJ06cQHV1NdauXStRqhNhvPPOO3ETCrWQzIq3paWFzRFypTqNjQ+c4m289Nkp2Xip4hUZEc3PH1pzmp6EQrmNl8YmultjsmCTuwWIRqPChW488dbW1iIlJUVibaIMdFKqywlDj7UpmRWv1kRcXFyM1atX605tqqqqkojX6PhC1MvZ0dFhmnjl1iav1yupMMjaRPD5fHj11VdVrU2JwOoqS25tGhkZwRNPPAFgumfC4OCg6YTCeGNwOp3CKl5edChXqvPCQ7WEQjp+UTuDTkbF29/fD7/fr0q8RhIK1QKn+Io3WRHRemDExnv48GH272xyt3HRKl5CVlbWDC8sCYSIMPRYm0RPMFNTU4x49S6C5KlNlFanZG06cOAAUlJSEI1GkZWVhcnJSUSjUcsXKlbep4KCAkXC2LlzJ0KhEMLhsKa1yaxoyev1Ynh4GIC4Dlz0WdfU1OA73/lO3IRCUqrTQk3PwuliWUN5pbrehEK58JAIMBkR0TQGvcSrllCoZeMl54ioMdDuApB43wclG29rayvOnTuH8fFxoRHRyYJN7hbgYqiataAntUlubWpoaGAvjqjdh0QqXkJ6erqqtYkIA5i2Rz377LOq1qZEIIpQiDCys7Oxbds2AMBXv/pVdHd3q1qb+EZBPGHoHYPT6UxKBgIQP6FQrlSnvg9q1qZkVLx6iVeeUBgIBCTHL6Ojo+jq6kJXVxd2796NjIwMJjyk47bZVvES9Np4CTt27GAWV97Gmyg6OzsRiUQsJ17expueno4DBw4I7cmQLNjkbgH0bDUnglAoZHqr2Yi1ifD73/8eLS0titamRMDfJ6teHLm16fHHH4fb7YbT6cTIyIiqtYnORo0S2/j4OLtXoj5vOht1Op2SHRkiDCJELcKIZ226WBUvQSmhUC48lPd9cDqdrKqvq6vD8PAwI16lpDkrYLTiJWRnZ0sSCinSlv7IEwqB6a3wDz74AM3N5hIK1UA5CoB1fR/kNt6DBw9i586dbOfMbEKhFvjnSRTxXg7+doJN7gmC3yoCpidgqyuhjo4ORCIRFBYWoqSkJKGfpWZt2r17NwYHBwGAEUYiqU1KEK1L8Pl8cLvdAIDbbrsNWVlZMwiDrE1kbzLqheUrXqUOglZAbYJRIgxeeCgnDLI20c4FEYY8W10EBgcHMTExoXurmYJ6yNrEJxTKrU1EGKRwVusqZwWsmuzlkbYkPKTPD5h2krz22msAzCUUqoGPiC4rK0toHErIyMhAMBgEACxZsgQ33nijpFEQH3ELSBMKW1padDcFEk28ExMTrDmOTe422FYzALz11lt4++23E05tkkPkipWsTbt37wYAfOYzn0F6erqkqYeZ1CY5fD4fWzyIqnjpPlVXVzPi5QmDrE00oZrxworepTGy1VxUVMSU6kQYNLaOjg5Va1NJSYkh4jUDElc1NDSYev4poVDL2kQ98bu6uvDQQw+pWpvMIhwOsyAXq/s+UEJhdXU1XC4XsrKysHLlSrhcLlMJhVpIdsWrZOPlW+Sq2Xi1AqcmJiaYlU/0/FFZWSnEspls2OSeIOiBoBVxoqlNWtcQtZrkiXfp0qXIyclJOLVJbQw88VqNePdJ7oX1er2S83q5F1ZubcrPzxde8Q4NDcHn8yEtLc3QVjNPGPGsTYS0tDR2vmhGqa4Fq61dcmtTf38/nnvuOUSjUaSlpWlam+IlFKqhq6sL4XAYeXl5KC8vt2QcctDzNG/ePHz6058G8ElCIQkPPR6PJKEwKytLcvwSL3BK9Pzh9/sZ8Wr1fVBTqsttvDU1Neydo8Apep4qKyuFRURfTlvygE3uCYMeiM2bN2Px4sWq1ia9qU1y+Hw+NiEns+IF1FOblAgjnrUpmRWvXuItKCiY4YXVCuEoKiqCz+dDSkoKKioqhIwj0YqXoGVt+vDDDxEOhxEIBLBjxw5Fa5OehEI1hMNhIYE3BIfDwZwQeXl5uOeeeyTHL3Jrk1ZCoRZ4v3Myz3iVEgp54aFS3wd+TuHf4WRERNMYKioq4hKvkcAp3sbr9/sBzI4ds0sFNrknACXiVbM2qXlh41mbaMVaVVUlbKtIL/GqEYaatYknDFrczLaKl8B7YdWsTaQIjkajePjhh1FbW8sqDCNKdS2IamZCSvUFCxawZ++aa67B8PCw6YRCNXR3dyMcDiM3N1fYIoifiOk4Rcna5HK5ZiQUZmRkSHbT1Po+iG4so4d4+YRCUqpTQiHf9+H48eM4fvw4gE8ibVtaWuDz+QDoI16zSIQU9QZOEU6cOAG/3z/DxpsoRkZGDEVEXwqwyT0BxCNeuRdWT2qT3NqUTFWzUeKNZ22SEwYAnDp1CpOTkwmnNslBY0i04iXIrU2Tk5N48cUX0dfXh5ycHPj9fiY8JMLghYdlZWWGq71IJCK04gWkxHvDDTfA4XCYTihUQzIrXqUFqdGEwvz8fInwMD8/H36/H729vWwcIkDzBx8RHQ9KCYXywCk+oZDuf2ZmJvr6+kwr1dVgdcWrZOP98MMPsX//fgDTFtdEEgrVQGMwExE9W2GTewIw+lArpTbFszaRWK+0tBSxWMzyyXJ4eBjj4+NsS90stKxNJ0+eZCp2vsKQW5sSIWXR2/7p6ems6cs3v/lNZGVlSZp6+P1+iVKdCIP+6Kmaurq6EAqFkJubi8rKSiHjUBJXmUko1LI2iV6QBgIBQ8SrRBi88HB8fBwnT57EyZMnAUwTBoXclJWVWR5HTLDiPskDp3hlelvbdOAUMP1sPfPMMyyhkP4kGuYzOjpqKiJaD8jGSzZgauGsZOPVk1CohcttSx6wyd00rFix6rE2EV5//XXs3r1b0dqUCPiK18oVK29t6u3thdvtxvLly5GZmalqbdKb2iQHX/GK2vbv7u5GKBRCTk4O+92UrE0kPJQThh5r02zx8epJKFSzNtXU1CSt4i0rKzPcjpfv+7Bx40bmAafx9PX1Sfo+jIyMYOvWrWwRalSprgURhJKXl8eU6tT+1+FwoKWlBZ2dnYoJhfzxi1HhIV/xWhGYpXWNOXPmJJRQqGbjjUajwnfMLgZscjcJ/ozGqmx1ubXp3Xffxf79+5GVlYVQKKSZ2lRfX2/q5RK9YuWJd+3atSyCNZHUJjnkxCsCWsTLK9U3btzImg7xhKHH2iR698FoxUswam0CwHoMZGRkWN7z3cpnNi0tjX0OwCdK9T/+8Y+YmppCLBZjSnU+oZD+TbyEQjWMjo4mFBGtB7QIqq+vx2233aaZUKgUOKXHxit6/tBKqjSaUKhm4+3p6REeEX0xYJO7SdBDXV9fL+SMxuFwMB/vxo0bsW7dOl2pTUT2eqxNyTjj7enpwdTUFHJyclBVVcW+nkhqk9zaNFsqXkJ6eroiYdD4xsbGJNamzMxMNDQ0oKenB4A4cqeIVzMVL0HJ2tTT08PInrZQJycn8etf/1rV2pQIRNoRc3Jy4HQ6MTU1hZSUFNx5551soaamVNdKKIw3hmRUvPQcmk0oVLPxJisiWi/xKiUU0nOpZeOdmJhgY7iUI17lsMndJJJR8fIvjpHUJvLCxrM2EfFmZ2dLiNdK8NWoGvEaTW2SW5tERzROTk4y4jVzDSVrE39ePzk5KWlDunXrVlVrUyIQcZ94wrj++uvx2GOPYWxsDHPnzsXo6KiqtSleQqEa3G433G63kDNeAt2n2tpaJog1klDICw/j9X0QtZDTQ7x6EwrVbLxer5cR78UIzNICb+OlwKnOzk7mMqDCiO/7IOqzuFiwyd0EknFG09vby4hXacVqJrVJbm2abRUvwYgXds+ePezfeTweDA4OGiaMeKCKt7S0NOHOZ7y1iSeMN998E729vXA4HKrWpniEEQ+iqyy32822mm+99VZkZmbGVaqrJRSqgZ6n2tpa08roeFC7T/KEwqmpKcluGp9QuH//frbwobFVV1czdwKfrS4CZpIqlWy8Wn0faNFZVlaGUCgk5POwqohSKo7a2tpw4cIFprwX9VlcLNjkbgJ0RiOy4uWz1eMRld7UJrm1iTywoiqgYDCI7u5uAIm9nFrWpo8//pj1td69ezd2795tmDDiQeTOABHG5OQkADBSpApDbm2ihQ+fX69nITM2NobR0VE4HA5hZ7xKxGsmoVDL2pSMilcvoWRkZKgmFLa2tjIhosvlwvbt21lCYUlJifCIaH7+MLPVzNt4KXBKbuOlxjLd3d34yU9+wnbTSHiY6PELHxFt9buXm5uLJUuWIDMzEx988EFCSZWzFTa5m4DZrSIjSKTK0mttIvz5z3/GRx99pGptMguqeEtKShK23PDgCeNPf/oTjhw5wgglHmE0NjYaPuMUXfHyxNvS0oKsrCwJYdBuDBEGfY5EGHqsTcmoeOMRr5GEQiVrE/VhB5JT8dbU1Bj6t/KEwpGREcluGiUUEqLRKN588022m2Zl3wern1m5jdfj8eCxxx5DLBZDYWEhPB7PDBsvKdvjJRSqgY+ITjQwSw2XowWOYJO7CdADEQgE8PHHHyec2iSHVRUvQcnatH//fhw8eBAOhwORSETV2pSIF1b0WTjwySS2ceNGLFiwgBEGVb68tYkIgxcexrM2eTwejIyMJK3ilSvLeWsTKdV54aGStYnG1tjYyAhD9CQWi8UME69aQqGatSk9PR2hUAipqanIzMwU0vfBqoW7w+FAWVkZysrKJH0fWltbcfDgQQSDQYRCIZZQSI4LeucS6ftAxwWAuM97cHCQEfs999wjibSNFzjV1NSky8abjPlDpDjzYsMmd4MIBoNsq4i23BJNbZKjvb0d0WgUxcXFQraK8vPzWXOclStXYt26dbpSm4x6YUVXvErEyxMGoK1U12NtogmmpqbGcksXQe9WM69UX7dunaa1iQiDGgXRGbeoz6Kvrw+BQAAZGRmmt5r1WJuAabHpU089ZTqhUAuitv1pjqisrMTevXsBALfccguGhoYUEwpJqU4LNSOBU52dnYhGo5ZERKtBrtfhleqxWEwiPFRTqtPY1HpsiJ4/xsfHWT8DUQv3iwmb3A2io6MDsVgMubm5mD9/vqq1KREvbDK2ivgVq5a1ScsLq2Vt8nq9GB4ehsPhEB54o0W8vFIdgKLwUMvaJHqCMVPxEoxYmwh79uxBS0uLorUpEfCkaEWPfWCmten5559Hb28vSktLMTY2ZjqhUA3UnwAQV8l1dnYiEomgsLAQq1atYveflOq0EPX5fEyp/s4778xIKNSyMiaz/a/SfaI5Qk/gFG/j5Y9fJiYmkhYR7XQ6hSVVXkzY5G4Q9EAsWLAAn//851WtTXpTm7SuIYpQtIhXbm1SUqrLvbBK1ib+xRFd8Rq5T0pKdS1rE9+bOxQKWd7ToL+/H36/HxkZGYbPeOVQsza9//77LJJTKdKW/pj1vgPJsYaSbemrX/0qCgsLmbXJ5XJpJhSS8DDeblpHRwcikQgKCgqEV7xyoayZwCn++IXXUYj+LPiIaD3Ea8TGS4FTdP/Ly8uFR0RfbhY4gk3uBiF/cdSsTXzzBCPWJiJeIDkr1njEazSEg5Tqo6OjAJITeGP2GnqsTbFYDADwzjvvYMeOHYrWpkRAY2hsbLSs4iUQYRAhbNy4Ebm5uey83mhCoRqoMgPEfd5U8RYUFDBxlpK1if7IEwpJqU6EqHTclUxrqNbOgDxwSimhkAKnqO8DCQ+rqqoY8Yr6LGgM8ohovdBj46VOikNDQ3jsscdm2HgTRSKBWZcKbHI3AK/Xy85o1IhXKbWJrzCUvLD82RpVWE6n01L1LI9ESFGvtYnwwQcfIBgMsrM1q5TaAwMD8Pv9SE9PR21trSU/U25t2rFjB9577z1W0Xq9XkVrE98oyChEV1mhUAgdHR0AgGXLlqG8vNx0QqHa4kNOvCIQb6uZrE2kVJcnFJJSndTqxcXFkuOX7Oxs4ZO9UkS0HsgTCilwit47PnCKkJmZiQ8//BDNzeYSCrVgZcWrZOPt6enBSy+9xLoEJpJQqIZEI6IvBdjkbgB0NmqEeJW8sFrWJppAc3JyMDY2ZqmFDLA2olHN2vThhx+yXQqPx4NDhw4xwjCb2iSHyIqXQNXDhg0bsG7dOlVrE08YfIUR7xmh0BJAHLl3dXUhEokgPz8fZWVl7OtaCYWkVNdrbUpGxWtE+6CVUEjCQ+p0R4RRWVnJiFfUZB8vIlovlAKnaGwfffQRIpEIgsEg3n77bQDmEgrVILriTUlJQVZWFqamppCWlobvf//7Eg2Q0YRCNdAYrIqIno24PEclCFaQYjxr09TUFADgwoULeOyxx1StTWYxODiIiYkJSyteAinVyUPf1NSE1atXq1qb9KY2KUF0xRsOh1nFS6SlZG2SE4YRa1NnZyfC4fAM4rUSesVVcsIgHQmfUKhmbRKtxJ+YmGA7WmaqRT6hcPPmzQgGg5K+D0NDQ5I2pE888YTphEItiHpmi4qKsHLlSqxYsQI/+9nP4PP5sGLFCng8HsVIWz0JhWqgiGgiVRGgZ7a+vh45OTmqCYWtra2SiFtAauNtaWlR7Sh5OfvbCTa564SVFS9Bbm3q7e3Fs88+y/oi9/T0KFqb6MXUk9okB704IlesVKHMnTvXktQmOeTEKwJEvHl5eSgvL5/x/9UIgyoMubWJj7Qla1Myz3iN3ie5tYlCONSsTcC0IC07O9vy+GB6niorKy2JOc7MzMS8efMwb948ANOE8dvf/hadnZ3MS282oVANIuYPOYaHh+Hz+ZCamorPfe5zbCzU98HlculOKFQDjcHsdrgeaN0nowmFZOOl4igrKyspgVmzATa560Qyzmh4wrrtttsSTm1SgmhrVzgcVn1xlFKb4nlhlaxNXV1dmsRrBYwSr5wwlKxNRBhkbYpEIgAgLGbS7/ezijeRz5uPtJVbm86cOYOxsTEAYLsWStamRPo+iG5mkpeXx8bwla98BQUFBZLdNCMJhWoQEREtB7/VTO+KWkIhLdSouicbLwVO8cJD/vlPhiuC5o942/5KCYXywCm5jbempgYlJSXCI6JnA2xy14lkVLxyoUqiqU1ya5MW8VoFnngrKipUv49PbeIJQ4+1idwEs7HiJcitTUNDQ2xCJWsT4e2338aRI0dUrU2JjqGiosKSipfAW5sCgQCOHz+OuXPnIi8vT9XaFC+hUA3JqHh54iViNJtQqNb3ga94RURE89fQOrpQSijkhYfywCnextvQ0CB8/uju7jZNvEYCpwCx88dsgE3uOpGMipcqd7UVqxkvLF9h9PX1IRwOIzc3V5N4E4HZrWa11CYlaxNheHgYR44cUbU2mYXf72e6ASs+bz7SlqxN7733Hnbv3o20tDREIhFVa1M8pboWRJMiT7xr167FnDlzTCcUqmF0dFRCvCKgRbxqhEGEKE8ozMjIkOymyfs+zIaKl8DbeEmpTjZevu8Db+MFprU1fr8f4XDY8kLHyqMqNRvvO++8g0AgcFlvyQM2uetCMs5oaMWql3jlXlg91iaq3iorKxGNRoWozK2yyahZmz7++GO2U0Fn2oAxwogHWsiVl5cnnCinhNTUVHi9XgDA6tWrce2116pam0ipzgsP9VibklHxjo6OwuPxSLaazSYUqlmbaMesrq5OeMWr5z4Z7fuQn5+PxsZG9syK+ix6enpYRLTZpEolG688cAqYLkReeukl00p1LVhps5OjsLAQCxcuxOuvvw7g8j5vB2xy1wWeeEWd0SS6YtWyNrlcLlYB0bV+8pOfMMIwm9okRyAQYGRr5YvDE0ZeXh4uXLiAoqIiLF++nCnV5YRBPdVbWloMh3Aks+Jtbm7WtDaRUv38+fM4f/48AH3WJiLelJQU4RVvXV2dquJab0KhmrVJ9GcRjUYTWrgr9X2gd46U6rSTBgC///3v2TtnZeCUCHGmPHDq2WefRW9vL2pra+HxeCQ2XgC6EwrVMDk5yVoli+o1QEmVpaWlpoSRlxJsctcBqh6i0Sh27Niham1KBFZPYnLC6O/vx7/+678CmK4+JicnJYRBSnU6GzVzRksVb1lZWUKtTLVAn8X8+fOxefNmVWsTVfVEGEasTaIJxe12axIvWZtWrlzJlOr88Ysea5Me4k0UZu6TUkKhlrWJEAqF4PF4LJ+Qe3p6EAwGE6p4CXzfh40bN7I+Brt27WINZhJJKNSC6Gd2cnKSHVXdeuutKCws1JVQyO+mxRMeJoN4k5E0N1tgk7sO0IsTCASwd+9eVWuT2RWzqIqXB7WDLSsrw3e/+9241iYijJaWFtTX1+siiGR4R5WuoWRt4itfXqkOaFubRkdHMTY2hpSUFOERr3qIl1eqb9y4kVmbaGxq1iYS7IlqYRyNRi3RoWhZm1wuF0KhEADgvffew3vvvWc6oVAN/DZwIop+JaSlpaG5uRm7d+8GANx0000SJb7RhEI1WB0RrQQKzCopKWEVud6EQnngFBVH8mNBkVvyBNHaqdkEm9zjgO9zfNNNN7EqSsnaRBNOvNQmOWjFKrLilW/bqVmb2tqmU5t4wiClOo1NzdpE1xC1peZ2u3URb35+PpYtW4Zly5Yxpbpea5Pb7QYw+ypegl5rE2H//v3o7+9nCzUjSnUt9Pb2IhgMIisryzIrn9zatHPnTuzZswdlZWXIyspStTbRc6mmVNeC6AUpT7wLFixAcXGx6YRCtb4PNH/wxGs14lW8RhIK1Wy8oucPpYjoyxk2uceBy+ViW0UbNmwAAFVrE69UJ8LQY21KxopVaxIzktrEe2F5a9PY2BjcbrfQM16aYGpra3UTL69U12Nt4tHR0WGKMLRgVcVLULI2HT16FPv37wcATE1NJZRQqAaRFS+BzsLXrVuH1atXa1qb+IRCuVJdDcmoeNvb2xGNRlFcXDzD0WE0oVAtcOpizx9KkNt4PR6PZE6R23hzcnLg9/sBQHg+gVZE9OUEm9zjQOmhVrI2yVOb5F7Y2tpatgqXW5uSUfES8epZsepJbZJbm2jHobq62rJwGDmsIEUtaxMp1YFpYt+6dathwoiHvr4+TE5OIjMzE06n0/TPUQJZm+j+L1iwANdcc42mtam6uloiPNSrSBdd8U5NTc0gXrMJhfRH7nzo6OhQJV6roPc+6UkolAdOkfCQdDPJqHjNLiAKCwtn2HjlneUIP//5z00nFGrhStqSB2xyjws9xCtPbZqcnJSsUnlrE3lhiTDKysowOjoqdKuIxlBbW2v4JdFrbaIOXz09PXjmmWdUrU1mEY1GhRAKTxg9PT147rnnkJaWhvnz58PlchkmjHig6kFkxcvfp3jWJlKq79+/X7e1aWpqignERFe8RUVFqtnqehMKKaWwvLxcIjxMhrjK7DOrFDjFCw9JiEiEBQAnT56E3+9nu2lWj0FPRLQe8DZeCpz6xS9+gfb2duTn52N8fHyGjZcvjpxOp+HdtGRYQ2cbEpp1H3jgAfzwhz/EPffcg0cffVT1+3bv3o17770Xp0+fhtPpxD/+4z/irrvuYv9/69atuP3222f8u0AgwB6mBx54AK+++io++ugjZGdn4+qrr8aDDz7Itn1EYGxsjBGvka3mrKwsQ9YmYFrdfu7cOdNKdS1YuW2nZG1yuVz4zW9+w9qpWpHaJAdf8dbU1CQ8DiXQfZozZw7+8i//UtHapEUYjY2NcY8LRFcPPPHKF6RypTqvTG9ra9NtbaKKV4t4E4XRiVgtoZDfTZMr1YkgCgsLEY1GLV9seb1e1k0x0XcvLy9P0veBEgqPHz/OWgzzOQ1GEwq1IPqZTU1NZR76W2+9FRUVFZLiiA+c4hMKaXx6bLwiIqJnO0yT++HDh/HMM89g6dKlmt/ncrlw880344477sBLL72Effv24bvf/S7Ky8tx6623su8rKChgDyaBXyXu3r0bd999N9asWYNwOIz/+T//J2666SacOXMmofhELfAVbyIrVi1rE53p+/1+vPbaawASS22SIxaLsZdTxLZdRkYG8vPzEYlEkJGRge9+97uS6lBOGHxqkxEvbDLOeOWLIDVrE69UlxMGdZZTsjbRVisgVtUcjUZRWFgYt3qLl1CoZm3yeDxCxwAkvu1PCYVNTU248cYbEQgEZhBGNBoFAOzYsQP79u0znVAYbwxGIqL1gE8o7O7uRn9/P5YtW4aioiK4XC5TCYVqSEbFKyfe1NRU1cApilpWC5xqampSLI5ol0ZkRPRsgyly9/l8uO222/Dss8/ixz/+seb3Pv3006ivr2eV/cKFC3HkyBE89NBDEnKniVQNlE1MeOGFF1BRUYGjR4/i2muvNTOMuBAhVOGV6ldffTV++tOfIhAIYMmSJRgeHk44tUmOvr4+BAIBZGRkWH7GS+DvU2FhoanUpnjWJtGiIbKYAeqLILI2yZXqvLVJHmnLh3CMjo4y4k1GxWuEnOQJhVrWJoLL5ZL0fbBq0hwfH8fQ0BAA6z7v7OxsCWHs378f77zzDnvezCYUakE0KfLEu3z5cjQ2NjKlOiUUklKdTygkpTo9l1o23oGBARYRLSowi8agRrzyhEJeeKg3cOpK25IHTJL73XffjVtuuQWf+tSn4pL7gQMHcNNNN0m+9pnPfAbPP/88QqEQE/D4fD40NDQgEolg+fLl+NGPfoQVK1ao/lyqHrQmyWAwiGAwyP5OHdr0QHTFC0w3liHi/eIXv4jU1FRdqU18hRHPC8uToqgVq9qLo5Ta1NPTw8amZG0iLyxvbdJDvImio6MDkUjEEPHySnUgvrWJdmCKi4vh9/uF7DhZJc5UszZ99NFHbBJ1u93Mf24moTDeGKqrqxNqI6wFym9fvXo1rr/+etb3weVyGUooVEMyKt7BwUFGvPxWs56EQlKq8zZe+sPbcWkMDQ0NSZ8/lEBzhDxwirfxygOnamtrhWtEZiMMk/srr7yCY8eOzbANqaG/v39Gy9bKykqEw2EMDw+juroaCxYswNatW7FkyRJ4vV489thj2LhxI06ePMnOB3nEYjHce++9uOaaa7B48WLVaz/wwAO4//77jQ2Q+739fj8yMjKEn/HyK1Yla1M8L6yWtUn0BEMvl55r8IShltok98I2Njaybf/8/HzhFW9TU5NpUopnbZqamgIwLRZ76KGHVK1NZuHz+djZpdU7HGRtmpycxIkTJ5hTRM3aFC+hUAvJrHibm5slCYWbNm2SJBSSUl0tobClpQVVVVUzdtOIeEVGRPPEq7XNbiZwiqp60T3x+cAss30f4tl46eeLjIiejTBE7l1dXbjnnnuwbds2Q2fQ8skyFotJvr5+/XqsX7+e/f+NGzdi5cqVePzxx7Fly5YZP+/v//7v8cEHH2Dv3r2a173vvvtw7733sr97vV7dL1q8rSIrEG8S41ObeMLgKwy5tYknjOrqauFnvJ2dnYhEIigoKDDsT9VrbSIEAgHWm9uMUl0LVtsR5dYmt9vNnuXy8nIMDQ2pWptIeGhUW5CMipd2s+bOnatpbYqXUKjm2khGxTs0NASfz6dKvEYSCnfs2IHs7OwZGeh6iTcRmLlP8sApJRsvn1BIGBkZQWdnp+mEQjXwEdFWEK+SjffNN99EW1ub4aOqSx2GnrqjR49icHAQq1atYl+LRCLYs2cPnnjiCQSDwRkffFVVFVNzEgYHB5GWlqZKBikpKVizZo1kYid873vfwx//+Efs2bMnruoxMzPTtD8yGRWv0RWrUmoTX2EMDg5KCCMlJQXRaBSZmZmYmppCLBaz/OE2e8arBDVr0+7duzE1NYVwODxDqU4TakNDg+nP2ufzsW1aUWf6tC1YVVWFv/u7v9O0Nm3fvp0RBhGiHmuTaF1CLBZTtI8pWZviJRSqWZt44qWkOatBY9BLvGoJhbzw8MyZMzhz5gyA6WMXco6IqtoTrXgJchsvBU61tbXh3LlzGB8fBwAmzjOTUKgFK+cPOcjGGwgE2DWuJBgi9xtvvFGScAQAt99+OxYsWIAf/OAHiiu6DRs2sIg9wrZt27B69WrVbchYLIYTJ05gyZIlkq9973vfw2uvvYZdu3YJ7cZk1Yujha6uLrbVXFZWZupnKHlhafueCAOY1h48++yzCac2KUHUIogElnl5eXjnnXcAAF/5yleYx563NvGEQWOrqanRXflSNVpVVSXMeSG3E6lZm3hFsJwwtKxNfMUrSpcwPDysi3iVEgr1WJuamprYMyuy4k3E2sX3fVi7di2i0egM4SG1MAaAXbt24fz586aU6lowGhGtF3zgVFZWFvbu3YuamhoUFRUp2nj1JBRqQXQR5ff7WeCNTe4ayM/Pn3HGnZubi9LSUvb1++67Dz09PXjxxRcBAHfddReeeOIJ3Hvvvbjjjjtw4MABPP/883j55ZfZz7j//vuxfv16zJ07F16vF1u2bMGJEyfw5JNPsu+5++678ctf/hJ/+MMfkJ+fz3YDCgsLLbWZAJ9sNQPAG2+8oWptSgR8BWTVilVubfr5z3+O4eFhVFVVYXR0VNHaRNVTY2Oj4fs4MTHBPgdRiy2eeGnSUbM2yZXqeq1NyTjj1WqYwlubeMKgyldubQIwI4TD7XZjfHw8KRWv0cZEcqV6PGsTMD0pf/jhh6rWJrOIRCIJRbzKQW6Wuro6llB4+PBhbN++HQ6HA7FYTKJUN5pQqAYR84cc9F6sXr2aHb+YSShUg9/vFx6YRfNHeXm5pcd4lwIsXxr39fWxc15getJ/88038f3vfx9PPvkknE4ntmzZIrHBjY2N4c4770R/fz/bmt2zZw/Wrl3Lvuepp54CAFx33XWS673wwgv49re/bekY6KEGoGlt0pvapATRjSH8fj9roHHbbbchOztb1dpEXlieMGpra+NO4DSGyspKyxvvENS2mrUIo62tTbe1KRlnvMPDwxgfH2fn6vHAE4Yea1NaWhrbhamsrJwVqmYtqFmbWltbGfH29fXh1VdfBWBcqa6Frq4uVvHKhb5WgI7AAGDx4sX49Kc/LXkujSQUakH0/KGUVKmWUEiLUKM2XvqsRRLvlWiBIyRM7rt27ZL8fevWrTO+Z/PmzTh27Jjqz3jkkUfwyCOPaF6HRHjJAD0QN910E/NIJpLaJEcytoqUiDfR1Cb5QkZ0+04jW808YUSjUUmFoWVtKisrg9fr1U28ZsCLq8wQkx5rEy3kenp68PDDD7Pte6MJhWrgK14rt/15a1NdXR22bt2KzMxMrFy5Ei6XS9HaxBOGWkKhGkSe8cqv0dTUlFBCYWNjo6JwORkR0TR/aCVV6k0o5G28fHEkWokP2ORugwNPvEuWLEFeXl7CqU1y0ItTUVEhvOJVe6jlqU1EGHqtTfn5+cJfnJGREVPEy1ubeC8sVRg8YRDS09Nx8OBBU4QRD1YL3eTWpv7+fjz//POIRCJIS0tTTSgkwjcjPKQz3pycHCEVL/DJfZo7dy7rjaGVULhjx44ZCYXxrJKiRYc88coXQUYTCinSlt9NS01NTXpEtF4o2XjpnVMKnKJ3jPp7WO3wGB0d1RURfbnCJncZ1Ig3kdQmubUpmRWv3msY9cIWFxfD6/UiJSVFs7NgIqAxJOoB17I2nTp1CuFwGJOTk9ixY8cMwiBrk1mIqngJDocDoVAIkUgEOTk5+P73vy8hDKMJhWpIZsXLP7NmEgr5hQxPGJOTk8IrXiPEq5VQ6HK5JJG2FDjV0NDA1N+zKeJVDt7GS4FTZOOl4oja/+7fvx/79++XJBRaEThFY6irq0uohfelCpvcZdD7UGulNpEXVsna1NTUJHw7anR0FB6Px/RWs9wLq2RtIkVwNBrFI488IqkwrPLCitoZIGvTokWLmLjw6quvxsjICNrb2w0RRjz09PRgamoK2dnZwhdBTU1NEqW63NrU1qadUKhlbRJd8U5OTqKnpweAdt8HPQmFx44dY8eAfE91v9+PWCyG0tJS3WfbRpHIfZL3faDAKZpX5H0fTp06hampKbYQterc2mhEtB7Ibbzvv/8+3n77beTn5yM7O9t0QqEWRD+zsx02uXNIRFxl1NoEAGfPnkUoFEo4tUkOq1esStamX/ziF+jp6UF2djYCgQAjDLI2EWG0tLSYCuGIRqOWqpqV0NPTg1AohOzsbNx4442sL4BceCgnDKfTKclA16owLlbFS+CtTUD8hEIlaxNPvKJsdlTxGiFepYRCEh66XC4JYezbt4/d/+zsbPT19ZlOKNSClXZEeeDUwMAATp06hX379gGYfg95pTolFFLfB7PvPo3BTES0XpDoetWqVdi8ebPphEI1RKNR4e3DZztscufgdrvZGY2RiFc51KxNbW1tOHnyJKt6+c5ycmtTIltSos/CMzMzJUr83NxcNqEqEQYp1anC0KMz6OnpQTAYFFrxKmWrK1mb+JS7oaEhplSnSFsta5Poz2JychLd3d26r6GVUKhmbSoqKkIsFkNJScmsrHgJ8khbIggSefl8PgDT+oFnnnmGKdVpoZbo2MxGROsB9X2gRVZtbS2uv/569tkpJRSaDZwSXfFGo9EZ74XZhEL6/OTCQz4iWlRg1myHTe4cRJ3R8IQxMDAAt9uNJUuWIDs7Gy6XS0IYiXph+RWrKELp7e1FMBhEVlYWE5/x1iYK4dBSqvNna0r3mp9gREW86rlPcqU6X1HEszbV1tYaIl4z6OjoYMRrtCmREWsTML343bp1qynCiAcrK14Cr1Tn2/+2tLSgq6tLUanO930wGvPMV7yJRERrga9GlZTq9FyOjY1JlOpk4+WFh0pzSjIq3v7+fka8SrkdRhIK5YFTVBwlY/6Y7bDJnYPoKot/cdauXcva59L5vBphkFJdj7VJTrwioFTxEnjCiJfadPDgQWZtorHRYkH0ZxEMBk0Rr1FrEzC9QOjv70dWVpblk76V4kw1a9Prr7+OYDCIWCxmijDiwePxYGRkBA6HQ5iqmd67uro6fOMb39BUqhNh1NTUsOeSlOpaEP3Mah0bGk0o5AOneBsvn1QpquLls9X1EK9aQqGWjZd2Pq9ECxzBJvf/h2RVvJOTk8jKypK8OAUFBTMIgypfJaU6WZuowuDPxWZLxUvQk9pE1ibywtbX17Ne7KK2Bjs6OhCNRlFcXGxaDR/P2kSLh2AwiF/96leq1qZEIPKZzcnJQW1tLYtNvvPOO9Hd3S2xNukhjHigZ7ampkZYxSvfalZTqtNnxyvV+YRCGl95eblkIcNHRIuaP/r6+hjxxkuqjJdQqBY45ff7AYiNiE70PsltvB6PRzKnTExMIBQKJXSNywE2uf8/JOOMRg/x8oShltqkZW0SbbObmppKKBtZj7WJzuoB4D/+4z9MK9W1IOI+yQnj8ccfx+joKFpaWjA2NjbD2hSPMOLB6/VieHgYDodD2CKI32qmHRk1a5NWQqGWnTEZFW+8rWa9CYWkVs/Ly5MIvHw+X9Iioo0SrxEbL2F4eBh79+5lfR+sEh4aiYjWi8LCQomN98iRI3jzzTdRWFgoLCL6UoBN7v8Pyah4zQhV5KlNk5OTklWq3NpEGB8fx9DQUMKpTXJQxVtUVJTwi6NmbXr77bfR09MDh8OhaW1KxAsrmlC8Xi8TV916663Izs42TBjxrE20QHE6ncIrXvl9Ukoo5IWH8oRCWvjQIpSU6slo/9vf32+YeNUSCmk3zefzSRIKaZeirKwM4XBYSNVrldBNzcZ74cIFNp6RkRFs3759RkJhS0tLQoFTHR0dpiOi9cDhcDDBclNT0xUV8SqHTe7/D/TiWK1yJfAVbyJClaysLFVr04ULF9gW6p49e7Bnz56EU5vkELkzQNYm6s39pS99CdnZ2RLC4K1NZr2wVPEC4rb96XlyOp3M5qhEGLzwUE4YZG1qbp5uRSoXHoreBjZCvHKlupa1iQijuXk60Mfv9yM9PT1uhLNZ0BgaGxtNkS4p1auqqlikrXw3bWJiAsD00dtPfvIT0wmFauArXquFbmTjzcnJwQcffIDc3Fxs2rSJHb8YTSjUQjKtoVeqBY5gkzvAqg4AePfdd/Hxxx8n1DxBCVTxFhYWJtTxTA7e2vTWW2/h0KFDrJLr7OxMKLVJCcmoeIeGhgBMtyHNzs6WWJv4XQu5FzYnJ0ci8FKrMJSI12rEu088YWzcuBHhcFiyVapkbSLCIOGh6M9iYGDANPHqtTbxeOutt0wnFGrB6vuUlpbGGlLdeOON8Hq9eOyxxxCNRlFQUACv12s6oVANlFSZn58vpOIFpO1/161bx5Tqvb29qgmFJKCl5zJe4JToZ9bn87G20ldq8xqCTe6YfnFisRgcDgcikcgMwrDCC5uMFSs1fbn66quxaNEiZm3iCcNIapMctNUPiI94VSLe/Px8TcLw+/26vLCzqeIlpKWlxbU28YSRkZGBqakppKSkICcnhz2/ViLRipegZW16//33MTk5iVAoJCEMowmFaqBFEyA29S8ajSI/Px//8A//MKNRkN6EQi3w1WgymyGRm4VPKJQr1Xkbr1bg1MTEBCNeUZ8FHxGtV9B5ucImd3yy1bxs2TJs2LBB09pEhGHUCyt6q2h8fJz5kYl41axNZr2wNIbq6mrLQx7k14j38qsRBl9hqHlh6Yxb1AQzODiIiYmJhLaa9VibgGmXx1NPPWU6oVALoqossjY5nU7Wbe2zn/0sG6OZhEI1dHZ2IhwOIz8/H2VlZZaOgyDPVldKKKTnUiuhkPo+KAkPRVe8ExMTTFCntXBPJHCKjgwrKyuFEa/o+3QpwSZ3SBtDxEttkhOGHi+sz+ebQbxWQw/xKqU26fXCNjc3z8qKl8B7YdWsTUQYhH379qG/vx8tLS2Glepa4PUbiYZfEOTWpn/7t39DT08PC/Axm1CohnA4zI6qRH3eXV1dCIfDyMvLw9q1a9n9V7I2aSUUavV9SMaOmdZ7wScUbtq0CaFQSCI8pJ4PfKRtfX29RHgYCAR0Ea8VY+AjovXAaOAUML0wP3fu3Awbb6JIhjjzUsIVT+78GY38gTCS2qTlhU1GxWuUePnUJt4Ly1cYcmsTbdlnZWUhFAollNSmhKGhIfh8PqSlpaGuri6hn6VmbTp06BCbKPlGQUaV6loQPcFEo1H2zP7VX/0ViouLTScUqoEn3vLyciHjkFe8BLm1aXBwkD2X7e3tMwijrKxMIjxU6vsg6rPgI6L1XCM9PV2iVOcTCtvapIFTO3bsQHZ2NnOllJaWCouItkIoqxY4xRdHwLR74ZVXXmE2Xl54mMjxj9mI6MsVVzy508tfVVUVl3jNemF5a4YIxGKxhF9OJWsTZaCTUp0iGrdv345du3YpWpsSAY3ByoqXQEp1UvyuX7+eZdIrWZt4pXpDQ4PuCiPZFS9tUaslFLa2tjIhojyhkManJPC82BUvgScMUqpTQiEp1YeHhzE8PIxDhw5JCMPpdBoi3kTGII+I1gtKKFQKnCLhIZHiyMgItmzZIjl+sUJ4KKri5QOnli5diieffBIpKSlYvnw52tvbJTZeeeBUc7N6QqEaaAyJRkRfLrjiyT2RrWY1a5PL5ZIQBuH06dOIRCKGCSMehoeHWcVr1YpV7oXdvXs3du3axSpaNWtTPKW6FkRv+0ciEUa8y5cvlxCG3NqkplSPZ23q7u5GKBRCbm4uKioqhIwjHvEaTShUsjYlo+I1k63OE8aNN96IQCAg2cJ3u92MMAgZGRk4ffq06YRCLVhpDVUKnOru7sYvf/lLBINB5uF2u92ShEL67MwGTo2OjrKKV5QVmD+q+sIXvgDAXEKhnmvYW/LTuKLJna94ExW6qVmbTp06xba1PR4P3n//fcOEEQ80hkSausQDVQ/r1q3D1VdfrSu1iQ/hiFdhRCIR4RGvXV1disQrtzYpEYZea5PaVrOVoElMz06QnDDiWZuA6V0sOroQtb1JC7ny8vKEjkCys7Nx1VVX4aqrrgIAiY7k3LlziEQimJqawttvvw3AXEKhGkSf8aakpCA3NxfBYBCpqam45557JG1krQqcome2rq5OWMWr9MyaSShUs/FGIhHhxcGlhiua3EdGRjA+Ps7sHlaCrE1kHWtoaMCaNWtUrU2JeGFFr1h54iUrjt7UJr3WJp54KysrhYxD71azFmFQ5atmbSLRl6jPIhAImKp4CXqsTXwb0p///OemEwq1IOqZJaX6ypUr8dhjj8Hj8WD58uXweDyKSnUiDK2EQjW43W54PJ6EI6K1QPeprq4O+fn5yM/P151QmJubKzl+UbPxiibFaDQqmT+UYCShUG7jbWlpQTgcxtTUlNCI6EsNVzS582e8olesc+fOjWttMuOFlROvCNBWc05OjiLxmkltklubknHGa6Ti5aFkbaKxKREGMH3P8vLyLH+2aCIuKyvTVInrhZK16dVXX0VHRwfS09MRCoVMJxRqQfSClCfez33uc8jIyFBMKOQJQy2hUA18xWtlRDQPrfsUL6FwYuL/b+/Mw6Oq7/3/nuz7vu8LW9hBXHCjFiot1KLXttc+6mNp8V6Ltw/KY11a7+3Vq1KtbZGqF+WilEKBWlvrQitYgbAKRFBZSiBkTyYh2yRhkklm5vv7I7/vl+85OefMmTPnTGLyfT1Pnkcnw8x8ZybnfT7f83l/3peHRdryjYdRUVFBCcxqbGyEy+XyS3iVbLz8iYzD4ZDYeGmxMJ4jXuWMa3E3erDXi9ZWs6/UJjUvLN2SooLhS3jNwF/hNeKFpc16Vp118xVvICdBvLWJj7StqqrC2bNn0dXVBQBsm5sKBv3sfAmGL6wWRTphDQDuvPNOJCUlaVqbtBIK1ejs7ERXVxdCQkIsi3jlK14qvEYSCuWNh/z3PxgVr97nUEsopJUvH2lLA6dyc3ORnp4Ol8uFyMhIyyKi+eOs0e9+TEyMJHCqs7OTNVVWV1czD73Ykr/CuBX3YFS8jY2NGBgYQExMjKZo6UltUvPC0k78YFS8Rv9w9HhhKbt378aJEydUrU1GqampASHEtIqXwgvGwMAAKioqUFpayjrxu7u7mWBQaxO9vl9aWur3KOJgVLydnZ1MeCMjI5m1yd+EQjVrE6148/LyRqTipehJKDx79izOnj0LYOgaMX+CHYyIaJfLhaioKL+Fl7fxApDYeC9eHAqcojZeYGh2/Y4dO9hnZ2bglNnfWd7Ge/XVV6Ovrw+//OUvQQgR4s4xbsWdCq+V12j4M1Z//lDUUpuUvLCU9vZ2VFRUqFqbjNLf38+a6czqCJZ7YQ8ePIi9e/ciLCwMHo9HYm2iJz6BemGt3qXhn+Pqq6/G5MmTmWDQ6kmpU50Khh5rk1x4rVxDXl7esJMqeUJhX1+f5PKLPKFQzdoUjDkARuY+KCUU8rtp8oRCYOg96e/vh9vtNr2Z1YyKlyK38dJO9X/84x9wOp3wer2qnerFxcWGmx5dLhc7gbDq86bjw5OTk0099n3ZGbfizvvbvV6vpRGNgX6p1axN58+fZ1vbzc3NeP/99wEMXSM2ywtLK97U1FTDc/W1CAsLQ29vLwBgzpw5uOWWWySDgrS8sP5Ym+hnYdUuDRVem83GhJcXDGptkjceygUjJyeHfXZya5OW8JqFP9/Z6Oho1YRCNWtTcXGx5U2Hzc3N6O/vR2RkJHJycgw9BnWz5OXlSSJt6feSTpz0eDzYunWr4YRCLaw8CUpKSsL06dPxwQcfAADuuusu5oBRC5yi30t/AqdoYJaVwisscMqMe3Gvrq7GCy+8ILm2ZoYX1qozVt7alJCQgAsXLiAhIQFz585lgmGmFzaYFW9paamiYNADqpJg6LE2dXV1sWx1q7uatYSXdvjm5+djwYIFGBgYkFS+vLWJRtryjYd0O9uqz8Lr9QZ0oNRjbeLnPrz33nsoLS1VtDYFAv8+mdVcJY+0/b//+z80NjYiNzcXDodDEnEL6E8oVIOPiLZKtGpqauD1epGUlMR6ZNQSCmnjIbXx6g2cCobwCnFXZlyKOy+8kZGRcLlcqp3qxcXFhrywtOJNSUkxNNBFD/RLPWnSJCxYsAALFiyAy+WSVBiBemGtrnh9CW9SUhLrVKeCwWegKzUe0gqDWpt44dUb9OMvRq6/RkREYNKkSbqtTRSPxwOHw2H6TordbmcVb25ubkCPpWZt2rdvH0tpo4OCjCQUamH1tfCBgQE2+e6OO+5ASkoK2tra2PfSn4RCNWjFm5SUFPSKV09Cod7AKauFt7u7G21tbQBExKuccSnu9BpNSkoKHnzwQd2pTfJOdS3MnFylhpLwRkZGSgSDdqrTP05/vLAOhwPt7e2SrWar1qBHeHnB4DvVeWsTbTzkrU1OpxOAteN/zTiIaVmbqqur4Xa7AQAHDhzAgQMHFK1NgUC/E0VFRabbiai1af/+/QCAhQsXIjk5mQmi3NrkK6FQDdqMClj3t0eFNzExkb0uOvdBb+CUfDdNflkwmNZQX++T0cCpnJwcyyOi6RqUIqLHO+NS3GmXPN22k6c28TPVlTrV9VibrK4e9AqvvFP90qVLbG20U13NC0stUbm5uZZVvIFs++u1NlGOHDmCS5cuqVqbjNLc3Iy+vj5EREQEXPFS5Nam8vJy7NmzB6mpqYiOjla1NtG1qSUUamH1d5ZW7wBQVlaG1NRUiWDIrU1aCYVqORB1dXUS4bUCX8KrFjhFv5d8QiEfOEV3nNLT0y2veHt6egwJr1rgFD/3QR44FR4ejgMHDqCkxFhCoRZiKp0641Lc+YhXOUqCwW+Vyq1Nci9sSkoK2yqy2WyWn7H6I7y8YOixNlFCQkJQW1trSDC0IIRofhb+omRtOnHiBMsMHxgYULU2FRcXG07s409QrGjMBK6ckF5zzTW45pprFAWDWpvKy8tVEwrVoCe1gHWXYGpra+HxeJCQkCARXrm1SalTXS4YapG2wRz/q1dQ/A2cio2NZfZQqzLo6RoCTapUs/FWVVXh5MmT6O/vx+DgIA4dOqSYUJidnW34cxIRr9qMS3Fvb29HdHS0rq1mX6lNSl5YurWdmZlpecUbyJdaj7UJGKqGNm3axDrVzfLC2u12OJ1OUyteCu1Up1t1EydOxM0336xpbcrOzpYIht7GQ6ubDnnhpZ+30YRC+iO3NqkJr5no3WpW61Sna2ttbR0WaUsTCmnfjFUH+97eXtYpb/Q5lAKn1OY+rF+/Hunp6ZJOdTOcElaJIrXxlpaWst3AG2+8kV0OVEoopCfXpaWlfvUntba2mhYRPRYZl+IOGLtGo5TapGRtolPK7HY7Xn/9dUOCoYVVZ6x8p7rdbsdrr72G0NBQTJ48mXm0zfTC0jUUFRVZVvHyfQm+BKO5uRnNzc2sU12PtSkYFW9dXR0T3tTUVMX76E0oVIq0LSoqCuo1Xn/fJ3mnOt+ZfvHiRUkjIuXUqVNwuVx+C4beNeiJiNYDHzhFEwq3bduGixcvIi4uDr29vazxkM59CDRwKhgV76VLl5jwLliwAGFhYaw4ks994BsPaUKhnsApugYrIqLHAuP2HTHjSy23NtGZ6n/6059Y85OaYJSWlhoO4WhpaYHT6UR4eDjy8vICXocS/B//d77znWHWJjO8sFYfYAYHB1Wz1eWCQSsKNcFQszZR4Y2Pj1cV3kDxV3iVEgppCAe1NskjbenJVVJSErxer+kNdb29vWhpaQEQ+A5HXFwcZs6ciZkzZ4IQwvzZJ0+eZKE3vPvF34RCLaz+zoaGhrJr4XfccQeysrIkcx/8SShUgxdeq1L/lISXL47UAqf4hELaeEg/O3nglNiS10aIu4lERkYiKSkJbrcb4eHhWLlypaQ65CuOjz76CDExMZItKb3WpmBWvPR9UrM2GfXCUi8t/xxmU19fz4TX17XL+Pj4YYJBD6ha1qaenh4AV9LyrCDQgxgfaQsoW5vobP+9e/fi8OHDkhG5ejvVtaC9FVlZWaohSEbgO9XpVv306dORmprKBMPfhEI1+IrXql2atrY29PT0MOENCwtTTSi8ePGiocCpYFS8er6z/gROHThwQBI4VVhYaPn48C8741Lcrax4+aS5pKQkJCUlqaY2OZ3OYZ3qfIWhdr3e6jNWt9utWvFSlFKbqqurdVuburq64Ha7dQmvUYxuNStZmxobGyUZ6FQwKLW1tfj4449ZhWHWSdfly5dZNWrWNX3e2gQMuQg+/PBDREZGwmazKVqb+ImHRsTZ6r4EQgj725s9ezZKS0slgkE/Oz0JhWrfFSq8VkREU+ga1C7hKSUU+mvjtfqz0ArM0sLfwClgqCcqIyPD1Nc/VhiX4u7vlDZ/ULNmqKU28V5Y2qlOvbBK1iY9whso9fX1cLvdiIuLQ3p6uq5/468XljYFJScnw+l0mlrNUcw6CeIrDN7aVFlZybq3Ozs7sX//flVrk9HKl36fMjMzDQ1T0gPdLp87dy4WLVo0LKHQ4XBIBEOtU12NYFa89LOiyAXD4XBIdi2UEgr5ypcPGeIrXqsiov2xdinZePmdQiUbb15eHrMjWiXuNKkyNjY2oKRKrcCpixcvwuv1Wtoj8mVnXIq7VV9qt9ut+4xVzQtLz8LVrE2JiYlwu92IjY3VLbz+EqidSM0Ly1cYNKKxrq4OL774ot+C4Qun08mmiJl9EkQ71d1uN06cOIG0tDRcf/31hjvVtbB6GJJceOXWJiXBkHeqyxsP5dfr29vb0d3dPUx4zUSv8CYmJg4TDP7yizzSNi0tja2Nfp6jreKlhIeHSwKnlGy8tDAAgN///vfDbLxmwI//NUt45YFTGzZsQFNTk5hKp8G4FHerpq01NDSwitffrSK91iaKy+XCO++8Y0gwfGH2YAheMG6++WZ0dXXhpZdeAjB08Gxra9MUDCNeWLqGjIwMyypeKigTJkzQtDZpdaprWZuC0dXsS3jlgqGVUEitTfIMdLoGsweY8BjZauYFg3aqy+c+8AmFlK6uLtTV1RlOKFRDb0S0XpRsvB9++CEuXLiAkJAQzUjbQOY+WD1Ypq+vj524i+vt6oxLcfd4PCCEmL6dY+YADTVr0/79++FyueB2uw0Jhi+cTieamprYOqyARshmZGTgRz/6kaK1KVAvbLArXoqStUkuGPJOdTVrU0dHBxNeqwNv9AqvWkIhvfwij7RNTk5mzXpWXafmK95ADvZ84+HChQvR19fHTmQqKytZ8yTt5jaaUKiGFRUvhXaq9/f3AwCWLFmCjIyMYTZevQmFapgdEa0Eze2g4VkCZcaluG/atIn5KeXWpkCwqlGFCkZCQgI++ugjAMC3v/1tdm1Uydpk1AtLD5Lp6emm7gbwyKtRNWsTbTxU88JSwZdbm4JR8XZ0dMDhcPjcatYSjIsXL2pam+gwk/z8/FFV8VL0zH3o7Oxk9y8vL8eFCxfYZ2dW7wuteKOjo02peCnR0dGsU33v3r3Yt28fsrOzkZycrDj3QU9CoRZWf2d54Z0wYQISExMlNl7+8otaQiEVezUbb3V1taUR0UBwkirHAuNS3CMiIoYJhr+pTXL6+vosr3h54eW7nZWsTWqC4cvaFMyKV+k5+E51o17Y7u5uOBwOhISEWF7x5ufn+xVVygsG4NvaBAxdgvniiy9UrU1G8Xq9ptqJlOY+HD9+HB999BFsNhsIIQElFKph1BVh5DnmzZvHIm3lM9X1JBSqwQuvVVvNtOJVEl554JRWQiFv46U/9PGC4T23ujlzrDAuxf2hhx5CT08Ps20ZSW2SQ68zWblVpCa8cmtTR0fHsE51vV5Yq/84Ozs70dXVpVt4jXhh6S5MZmam5RVvoO+TkrXp4sWLqKqqYsLb3NyMP//5zwCMJRSq0djYCJfLZXrFS4mMjGTDnMrKyrB48WLJSahSQiF/+UXv35HV31k+Ipqf+0A71f1JKKRrkwdO8RHRo6Hi1UooVLPxlpSUMDeMVZ+Fr4howRXGpbirWZvol1cptcmXFzYYZ6x6G1W0Upvq6+uHVRhZWVkoLi5GRkYGE16rI179rXgperywdMJXc3MzfvWrX6lam4zi9XotaRrirU1FRUXYuHEjwsPDMW/ePFRXV0sEw5+EQjX4g73ZE+nkz0Hfe7lgaHWqU8Ggcx+U+kiUhNdseOFVu3ynN6GwpqYGe/bsGRY4NVIR0XpQs/HSz4638VL279+P5uZmiY3XzDXoiYge74xLcZejp1Pdlxc2GBVvZ2en31vNaqlNStYmSnh4OI4ePapqbQoEs98nuRfWbrfjjTfegNvtRmhoqKa1SU0wfNHU1ASXy4WoqChkZ2ebsg459GA/YcIE3HrrrQCuCAbdcZInFNJOdVodJicnaz7HSFS8FH8TCm02G/Ly8tjaaKe6HuENFCPvk1JCoXw3je9Up39j4eHhcDqdpsyt59EbEa0H3sYLgBVHn3zyCdttopdfjCQUahGMImqsIMRdAT2pTbxgJCcno7Ozk41otQJ6sM/LywsoFYqmNilZm06dOgW32w2Xy4V//OMfqtYmo1hV8VJsNhu8Xi/cbjciIyOxevVqNDU1sQpDbm2igsE3HuqpMIJR8Sq9T0qCIQ/h4DvVqbWJTpbjGw+DUfHW1tbC6/UiOTnZ5/dGnlDY398vqXw7OjpQX1+P+vp6lJeXs0512v1t1U4TELig0ITC1NRUSaQt/ezq6+uZo+Dw4cM4fPiw4YRCX2vwJyJaL7Q4olv011xzDTIzM9nnZ9bcBz4iWoi7b4S4+0CPtYl2BBNC8NJLL0kqjJycHFO2pKz6UlNr07Rp03D27Fm43W5cd9116OzsVLU2aXWqa9Hc3Iz+/n5ERkYiJyfH1HVQeDsRFQB64KeRtrTy7ezsZIKxb98+ibWppKRENdLW6uphYGCATRFTew5eMLQSCtWsTf39/bqF1yiBbDVHRUWxhEJg6ForX/k6nU7WpQ4AZ8+ehcfjYZ+dWbMNuru70dbWZkrFS+EjbRcsWIBjx45h586diIuLQ3R0NC5dumQooVALq7+zvPBOmzYNBQUFrPFQHjjlK6FQ7XKdlRHRYxEh7n7ij7WJCgZf+Rrxwnq9Xsv/OJubm+FyuRAZGYmvfe1rCAkJgcfjkVQY8k51AMMaD7UqDF54g3GNVw4faQtc6VSnn59WpC0VDD3CGyg1NTXwer1ISkrSPTVM3qk+MDAg6SORW5vo+x8TEwO73W64U10LM09Ik5KSMHfuXIlgnDlzBgcOHAAwdOImTyjkGw+N9HcAV75PRiKi9UIDlObMmYOvfvWrrFOdXoLh50AA6gmFagTDGqomvPLAKRoYRdfjj42XrsHKwKyxhBD3APHX2sR3qhcXF+uqMOx2O6t4rTpjVdpqpg1b+fn5rFO9traWVb5tbW1+WZus3lLzV3j5TnUqGHRtapG2KSkp8Hq9SExMtKziNeNAHBER4dPaBAx1zL/22muq1iajdHd3s8ZGK+Y+ZGdns5n4OTk5WLhwoUQwaELhkSNHfCYUahGMilfe6KanU90fG28wI6J9CW9YWBh7rYA+Gy8tpqzuxB9rBCTua9aswU9/+lOsWrUKa9euVb3fvn37sHr1apw+fRo5OTl49NFH8cADD7Dfb9q0CcuXLx/27/r6+iRf1FdffRW//OUv0dzcjGnTpmHt2rW46aabAlmC6ahZm7S8sL6sTbTiLSoqsrzi1ToQy72wtFOd/nEqWZtohZGfn295xCu9xpuYmOj3nGy+wlCzNlHBAIbWvnnzZlVrUyBYISi8YHR3d+M3v/kNe476+npVaxPdKvX3Oi09kbOy4uVF0ZdgaCUUqs19CEbF60t49QROqdl46dyHYFS8/tjsePwNnAKEuOvFsLgfO3YMr7/+OmbOnKl5v+rqaixZsgT3338/tmzZgoMHD2LlypVIT0/HnXfeye6XkJAgGdwBQHJA2bFjBx566CG8+uqruOGGG/Daa6/hG9/4Bs6cOWNZGEWg8NYmXjDoNrdea5PVFS/NZgf8s8lopTbRxkNeMIChivLSpUuIjY01vbGHPxAHusWsZm364IMP0N/fD0KIorWJ71Q38hp6enosq3gpvPDee++9mgmFtFNdKaFQi2BWvPLn8FcwEhMTJbsWtFO9tbUVly9fHhUVL0UtcErLxksLhvT0dEvGbtOtdiCwwTJqgVMXL17E6dOn0dLSYmlE9FjDkLj39vbi7rvvxoYNG/DMM89o3nf9+vUoKChglX1ZWRmOHz+OF198USLutHFNjV//+tf44Q9/iBUrVgAA1q5diw8//BD/+7//izVr1hhZRtBREgx+q1RubYqKikJhYaGpU8SUqK2thcfjQUJCguFkKHlqk9zaRKdvDQwMYMeOHRLB4K1NgWCloMTGxqKwsJB1Z69YsQJNTU2q1qakpCRJBrpeaxNdQ3Z2tul2KPlz0PdJj2DwCYURERGSyy9ya1MwKl69wqsnodDhcODEiRMsvpcmFNLPurCw0LKI6EDfJz023sHBQQDAoUOH8PnnnxvqVNeirq4ObrfbdOHlbbwulwstLS2mnLiPFwx9Yx988EEsXboUixYt8inuhw8fZj5dyuLFi7Fx40YMDg6ys8re3l4UFhbC4/Fg9uzZ+J//+R/MmTMHwJAgVFRU4PHHH5c8zq233opDhw6pPrfL5WLRosDQVupoQp7aRK1N9NoavV5P2bJli+TamlkHfzMrXorc2vTKK6+gra0NJSUlbMqUXDD4DHS1TnU1ent72Za5VYJCK97s7Gx20OGtTfSAWl9fj66uLolg6LU2Wb1Lo0d49SYUqlmb+vr60Nvbi7CwMMvCYuga/BVeeUIhnftA/+5aW1uHzX3o6OjAgQMHUFpaaqhTXQ23280iWM36vOU23k8//RTvv/8+QkNDYbPZDCcUamHF8UPrOQT68Fvct2/fjk8//RTHjh3TdX/aicuTmZkJt9uNtrY2ZGdnY8qUKdi0aRNmzJiB7u5uvPTSS7jhhhvw2WefYeLEiWhra4PH41F8HP6PUM6aNWvw1FNP+bvEEcGItcksL6y8ocdsent70dbWBgC48847ERMTI7E2+epULy4u9llh0DVkZWUFreKl8NYmKhh8CEdra6suaxMhxPJJZZcuXfJbeNUSCqurqxUjbek447S0NObfNhuzDvZKcx8uXhwa/0vX09HRIZn7QL+TehMK1aivr2cR0enp6QGtQwmbzcZsutOmTcNtt91mOKFQC6uF1+l0sohXIe768UsN6uvrsWrVKuzatcuv66XyszlCiOT26667Dtdddx37/Q033IC5c+fit7/9LdatW6f5OFpnik888QRWr17N/r+7u9uySsJslEI45KlNaoKhldokp7e3l3UdW3WNV0l4laxN/PV6pU51LWvTSF7jlRMREYGJEydi4sSJAMAibOn6+M514Iq1KS0tjQmvVX0kRiteCj/3gVqb6uvrWeXb3NzM0uzsdjuef/55Jhh07kOgjYdWVLwUmlCYkJCAzz//HNHR0ViwYAHbTVMKnKJCX1RU5FfzYDAqXn4nSG7jdTqdkrkPWoFTajZeXnit7hHJyMgwbX7BeMCvv+6Kigq0trbiqquuYrd5PB6Ul5fj5ZdfhsvlGnbdNCsra1h13drairCwMKSmpio+T0hICK6++mq27ZeWlobQ0FDFx5FX8zyRkZEBTXMbTehJbaL/zac20QOPmrWJ/uFkZWWZmjim9BxaA1l4Lyxt8KPVoS9rU3Z2tuW7D21tbejp6TEkvPHx8cMibfmZ6tTaRLHZbPjwww9VrU2BYPZJEC8YwND38qWXXoLH40F8fDx6enoUrU2+OtW1aGhowODgIGJjY5GRkWHKOuTw43+vvfZa1YRC2qnOJxTyjYdaJ1DBqHi1kipjYmKG2Xjp99KXjbekZChwihdeqyKigzF3fyzil7gvXLiQjVylLF++HFOmTMFjjz2m2BA1f/58vPfee5Lbdu3ahXnz5qkmWhFCcPLkScyYMQPAUCV01VVXYffu3bjjjjvY/Xbv3o1ly5b5s4Qxg5HUJr7CoIJh1MKiFyNbzeHh4YrWJlphOBwOibUpIiICAwMDsNlsiI2NtaQjmK4h0FGgfKQttTY1NjaiqqoKR48eRX9/PwYHB3H8+HHDCYVqeDwe1pxp1YGyvb0dHo8HsbGxePjhh3V1qvONh3pOMPnvUzCv8fqTUOgrcCrYEdF6hDc5ORnz5s3THTiVmZnJdmGtSmgLRnPmWMWvo1R8fDymT58uuS02Nhapqans9ieeeAKNjY3YvHkzAOCBBx7Ayy+/jNWrV+P+++/H4cOHsXHjRmzbto09xlNPPYXrrrsOEydORHd3N9atW4eTJ0/ilVdeYfdZvXo17r33XsybNw/z58/H66+/jrq6OolffryixwtLrU1UMHJzc1FcXMyucVtd8dIDoxGUrE38THXa1UwIwfr16yXWJr2C4QurGt3o+5Kbm4vDhw8DGGo4pUEjRhIK1eArXq0dr0DgTxa1rE1UMBwOx7CEQr6PRKkAsLrpUK/w6kkoVAuc8ng8APQLrxECqXjlgVODg4OSy4LUwkupqKjApUuXhtl4A6WzsxMOh8PvwCyBBRPqmpubmecRGPoj37lzJx5++GG88soryMnJwbp16yQ2uK6uLvzbv/0b7HY7a94pLy/HNddcw+7zr//6r2hvb8fTTz+N5uZmTJ8+HTt37hQfuAJq1iYqiLy1iXL48GH2xxlIapMc/hqvGdnqvGDQTvVNmzahvr4eSUlJ6O7uVrU2aQmGFsGoeKnwxsTE4Nprr2Xvv6+EQtqpTre6tSJt+fG/I9HV7E9C4aFDh9iJD9946HK5LK946clDWlqaXxHBeuY+8IFTwNB7cu7cOcMJhVqYWfGGh4cPazw8deoUPvzwQwBDI7LlNl76ndSTUKgG/c4ajYgezwQs7nv37pX8/6ZNm4bdZ8GCBazDW4nf/OY3bGKWFitXrsTKlSv9fYnjHj3WJn6ynNHUJiWCse1PK4jvfve7SE1NHdapriUY2dnZPoWusbERAwMDiImJ0ZzFEAhqzVW+EgqVrE10m1tubbK64u3v7/dLeLUSCuncB7o7QzvVU1NTQQhBcnKyX8LrD2aIonzug9vtHrabBgxNqNu+fTs78eE71QOZ+9DZ2Ymuri7LKt64uDh2eaqgoAC33Xab5LKg0twHKvT+BE6JFDjjiNny4xB/rU1GvbB8xWvVtj8V3ujoaGYp4zvV+UZD2qkuFwxf1qaRrngpehIKqbXp6NGjzNpUXFyMvLw8yyNeq6urQQhBamqqodn0NKGQzn1ob2+XXK/v6+tja+js7MS6deskl1/MGnNrxTXesLAwNvdhzpw5WLduHWw2G2bPno3a2lpJpK08obC0tNTvwCmzIqK14JtY09LSkJaWZiihUC1wyuqI6LGOEPdxjpK1yWhqkxy58FqBLzsRtTbxnep8hSG3NtFIW97aZHVDT39/P6vk/HkOfxIKKeHh4Th37pyqtSkQzHyfbDabomBs27YNfX19zMNtNKFQjc7OTnR2dpoa8SqHvk/5+fn41re+BWDo0iTfqS6f+0A71elWty9LmNWiqCW8emy8fEKhWuBUMCKixzJC3AUSjKQ2qXlhR9vkKr5TXc3axAsGPfGhPl6r+jtqamoCqngpWgmF586dg8fjweDgIP72t78BULY2BYKVJ0EhISGIj49nwv7QQw+xFL/q6mqJYMgTCktLS3U3HtI1BKPi5d+npKQkxYRCupum1KlOK9+CggLJ9ehgRUTrFV6lwCn+mCIPnKI2XrfbDcDaiOixjBB3gSZ8pzoA1sXNW5vUvLB0ToFVBxiXyxXQVrMeaxMVdgB47bXXDHeqa2FVXwKfULhu3Tp0dnZi5syZzHtuJKFQDTpS2MqKl99qTkhIQEJCgq6Ewt27d7NOdSqIatfrrRZFPVvNehIKabf6kSNHWOAUXZvX6x2RiGi9JCQkDLPxyuc+8GFTYkveGELcBX7hy9okFwxgaHs+MTHRUKe6FrTiTUlJCWgMKEXJ2vTOO++guroaYWFhGBwcVLU2+epU18LqATxdXV1sq/kb3/gGoqKiDCcU+lpDXl6e6Wl/FC1RlHeqU8FQ61Snkbb08ktkZCQIIew5rPos7HY7+vr6/BJetYRC+nfncDgkCYX0ckRSUhK6uroMJxRqYdZJEG/jpYFTDQ0NqKysZLkhQtyNIcRdYBg91iYArJFGydoUyHab1VVWQkICCxu64447kJqaKrleLxeMtLQ0tja91iaHw4H29vagXOPNzc1lwqsmGFQQlRIK5ZPllJ7DSleE3s9bSTDkjYfySNu8vDykp6ejr68P4eHhll3jpbsPRUVFhr/7sbGxmD59OqZPn84Cp/jdNBqW1dLSgt/+9resU53uXASavTAwMMAioq2Y+1BYWIiBgQEcOnQIiYmJhpMqxztC3AWmoWVtqqqqUuxU5wXDXy+s1eLOC29JSQmioqKGWZto5dvU1IS2tja0tbXh6NGjTDB8WZuUhNds9LxPSoIhHxSkZG2iJzLBqngjIiL83mqWJxT29/dLKl++Ux0Yml3/xz/+ka3P34RCLcxudOMDp66++mq4XC688MIL8Hq9yMnJgd1uNz1wqq6uDh6Px1LhDUa/zlhHiLvAMvRYm86cOYMzZ84AuNKprsfa1N3djba2tqBXvBTe2gRAsVNdzdrEC4bVJyhGtpqNJBQCQzs5AwMDcLvdpuef8xVvIP5vYGjuQ1lZGcrKygCAJRR+/PHHuHz5MgghqgmFejrV1aCXQgDrPu/6+np4vV4kJCRgxYoVwybL6U0o1GKkxv8K/EOIuyAoqFmbaHUo71QHtK1N9I8/JyfHNH+zHH+2mtU61dWsTVQw6P9bdRCz2+1wOp2GKl6K3No0MDAgaTy8dOkSgKFmsa1bt7JOddrgpTehUAsrD/ZJSUmYMWMGdu7cCWBoGBLd6q6rq/M7oVANWvEmJCSohmYFirziNZpQSNen1Mtitc2ut7cXra2tlj7HeECIu2BE4AWDdqrX1tbqsjaVlJRYnhTFX+M1stXMd6oTQiSNh7xgUHbu3MkavOTWpkCgazCj4qVERERIrE1vvvkm6urqkJOTg+7ubkmnOp9QSH/8tfvxFa9V2/688E6ZMgU2m02SUMjPfdBKKNSKtB0NFa9SQiHfR0ITCvlIW343ze12j0hEtMB/hLgLRgVKXlg1axOPx+OBw+EIyB+uREtLC5xOJ8LDw5GXlxfQY9Fkt5ycHIm1af/+/SyXnBcMubUpkBAOqxvd3G43Gzl7++23Iy0tzXBCoRpUeOPj44NW8VL8TSiMioqSXH7hI22t3mru7e1lwhvI3Ad+N41G2tLAKVrJp6SkjGiPiMA3QtwFoxJf1qbBwUEAwKFDh3Do0CFmbaINXoEeeKyoeCm0U52mwN1yyy1ISUlRtTbJO9X1WpvotEHA2orX7XYjPj6e9REYSSika8vLyxv2fvM7KCN9jVcpoVA+90EeaUsbKv0RXiPQ7fKsrCxDA4n4uQ984BRdX3t7Ozo7OwEMzbt4/vnnUVRUxE7UzAicCnTHTHAFIe6CUY8RaxMVjNLSUkMhHFZXD263m1XtU6ZMQUZGhqq1SatTXcvaJBdeK/DV1ayWUMgLBk0oLC8vR3h4uKTyTU9Pt3z34fLly7Db7X4/h1qkLa186+rqhiUUhoWF4dChQ6xT3cy5D2a/T/LAqa6uLrz22mvo7+9HVFQU+vv7cf78eTasyozAKT4iOj8/35R1jFeEuAu+dMitTX19fRLB6OjokAgG7VSnFYYvaxMvvFZ2NbvdbsTFxSE9PZ3dLrc2eb1eNDU1SQYF6bU2jbbxv4C+hEJeMGJjY3H58mUAQ41sVkAr3szMTMOd8IB07sPNN9/M5j5UVVXh5MmT6O/vh9vtZrtN9MSHfi/1dKqrEYyK1+12o7+/H6GhoXj44YclJ6H+JhSqQddgVkT0eEaIu+BLT3R0tKK1if6odarTyldeYagJr5noba6iQT15eXlMMPjGQy1rEx0JbNUJitPpZON5jT6Hr4RCKuzA0PhfPqGwqKjIlMZDq3YG6NyH0tJSnDlzBv39/bj++utx+fLlYZ3qfEKhVqe6Gu3t7eju7mZb61ZAv7O04dNIQiE/90Gpj8TqXZrxhBB3wZgjKSkJc+fOxdy5c1kIB19h+LI2BaPiNWon0rI2VVVVSSJuKWfOnIHb7fZbMPSuISMjI6CKl6KUULhjxw5cuHCBVfBGEwrVCEbF29HRwYT3K1/5CsLDw3UlFKakpEgaD7Usn3QNZm/182h9Z/1JKFQLnPJ6vZZHRI8nhLgLxjR8CIdeaxM/m9vr9ZqeSOV0OlmHeaBVtZK1qaqqCp9//jmrqvlgH7m1KZDGQ6v7EkJDQ5mH/vbbb0dOTo7PhEIqMKWlpZJOdTU6OjrgcDiCVvFS4dWTUEg71WlCIT/3IS8vT3Hug1Wfhcfj8euEVCuhkA6wkgdOZWZmWh4RPZ4Q4i4YV+ixNg0MDAAAysvL8cknnwybqR5oNU+rk/T0dENNR2rwgnHp0iU0Nzdj6tSpSEtLY53qcmuTfFCQ3sZDf2a9G0UuvBERET4TCuWd6lToi4uLFTvI6Rry8/NNmy2g9hxaW816EgobGxvR2NiI/fv3Izw8nM194Mf/WvVZNDY2MuHNzs72+9/zcx+8Xq9kN40mFNIcBzFy1hyEuAvGNUatTbTyNWI5CuYAntmzZ2PixImqnepywdBrbers7ERXVxdCQkIsy7n3Jby+EgodDockoTArK0uSgR4eHm75CYrRrWalhEK+j+Ty5cuShEJg6AShpaUFcXFxhhMK1TDzUlVISIji3Ie//vWv6OnpEf52kxDiLhD8f4xYm7KysiSd6nqud1pdZakJr7+d6lrWpmBWvHreJz0JhXa7HXa7XRJpS8NirMonaGxshMvlQlRUVEBbzfK5D62trZLPzuv1wuPx4N133wVgLKFQCysb3eigqN7eXgBieI1ZCHEXCFRQsjbJQzioYFBrE+1UV7M2dXZ2orOzc0QrXopSp7peaxM9AbCy4g3kJEgrofDixSuRtpRt27YFlFCoBn+CYlbvhs1mQ2ZmJksofOONN1BfX48JEyagr69vWEIh/R7zjYf+zH1wuVxoaGgAYF2jW01NDQghSElJMbXpczwjxF0g0Im8U53vTKfWJnmkLd2+Ly0tRVJSEtuSz8vLC7iaUsPIVjPfqa7H2kRxOByor6831KmuRVNTE6t4jVzjlaOUULhr1y6cP38eISEhASUUamG1tcvlcqGxsREAsGTJEiQnJ7O5D7SPRCmhkG88TE1N1dxqp8KbnJxsmfCKkbPmI8RdIDBIXFycZgiH3NrEV4NWTd8KtOKlaFmbKisr0dPTAwBsmI6StSmQa7O8KJrtVqAJhbRxcvHixcjOzpZ0qvuTUKhGMCre2tpaeL1eJCcns++XfO6DUkKhvFOdP5GR2xqDIbxC3M1HiLtAYAJ6rE10LjcwNBO/pqZG1dpklObmZvT39yMyMhI5OTkBPx6FtzaVl5djz549yMrKYjPx+/v7VQWjpKTE78ZDqw/2AwMD7Hr7hAkTkJKSwiJt/U0oVIu0VRJes9HzPskTCu12O6vqaac633iYmZkpmSxn9RyA7u5utLW1wWazWdb7MB4R4i4QWEAg1qaSkhJkZGQYqnytrHgpdGdg7ty5bESukrVJLhj8oCCtxkNeeK0Sdyq8SUlJw4TX34TC2NhYyeUX2qkejGlr/p4E8XMf+E51+tnZ7Xa0tLSgpaWFJRR6PB4AQ++LFXMf6BpycnIMX/4QDEeIu0AQBPy1NlHBoD96rU3BqHhp0hx9DjVrE60OqVi0tLRIOtXp2uSRtlrCaxb+ZKv7Sii8fPkyvvjiC3zxxRcAwBIK6S6GlRUvHfJj9ASCJhTS13j58mVJ46HD4WD3/f3vf284oVALsSVvDULcBYIRQMvaVFNTM0ww9FibglHx1tXVwev1IjExESkpKYr3URIM/kSGdqrX1NTg448/lghGaWnpqB7/609CIeXgwYNoaWkxnFDoaw1mVryxsbGYPn06Syjcvn07KisrkZqait7eXsMJhWoEYxjSeEWIu0AwwsitTW63Gw0NDeyar9zaZLPZhs1UDw0NRV1dHTwej6bwBoo/FS8lNjZW0qne0dHBKt+ampphgkGr+IiICDidTr8Fwxc9PT1obW0FEPiWuTyhsL+/H9XV1Th27BgTX3q9nk8opJ+dr4RCLYIhirQT/5vf/CYKCgoMJxSq0draisuXLzOvu8A8hLgLBKOMsLAwJhgAFEM45NamoqIi1v1dXFw8aiJe5fCRttdccw28Xu+wxkOv1wsAOHLkCI4cOYKcnBx2PVtvp7oWVHSzs7NNP3GIiopCWVkZm2g4b9481olfXV0Np9OpmlBYUlKiO4AnGBWvXHjVEgr5uQ9qCYUlJSWKcx/oGgoLC01pKBVcQbybAsEoRy2Eg7c2UbEAhoJi/vrXv7KtbjMS24AhX79ZFS8lJCQE+fn5rFO9oqIC77//PmJiYhAbGyvpVKeCoadTXQurRZEX3qlTp6K4uFgxobCurs5nQqHaEKJLly6ht7cXYWFhltkqfQmvVkIhnftA/xsYGvXMX35JTEwUW/IWIsRdIPiSIbc28TPV6+rq0NfXJ+lUp4JBZ6obHRdLD8RZWVmGZurrgfYMzJkzB4sWLZIIhFKnekxMjKTyTUxM1Hx8Qojls/3VhNdIQiHfeJiTk8MuWdA1WFnx+iu8agmF1dXVqKmpgdPpHBZpS+2hQtzNR4i7QPAlhia7yTvVeWsTLxi0U51uc8s71bWweia+0lZzfHw8Zs2ahVmzZrFOdb7x0Ol04tSpUzh16hSAK53qtPFQHmnb1tbGhNeqiFe9W816Egpra2tRW1uLPXv2sEhbvhPfqs/C7XajtrbW8HPwcx+uu+46NveBij2NtAWGejIyMjJMff0CIe4CwZhCj7WJdqrv2bNHt7UpGBVvW1sbenp6VIWX71SngtHQ0MDW1tjYyDrVjx07BpvNJpmpnpeXJ8lWHy0VL8XfhEJgaKfj1KlTKCkpMbV/oKGhAYODg6YJLz/3gSYUvvvuuzh79qyIeLUIIe4CwRhGbm1SykDXY21qb29HT08PO0hbgb/CGxoaisLCQhQWFkoibWl12N7ejoaGBjQ0NKC8vBzh4eHskkRGRgYIIaaLisfjYYE0gZwEaSUUnj17Fna7HQAkYm8koVANq+2IUVFRkvx2gfkIcRcIxgl8pzqdLKfX2kQ78QMVDS0C3fbXE2k7ODgIYKgTn1a8SpG2RqEVb0xMDDIzMwN+PAqfUOh2u2G321FYWMg68ZUSCgsLC9nlF6VOdS2sbnSj6XVWPsd4R4i7QDBOUbM20cqXtzZRHA4HDh48qGptMopZFS+PPNL2xIkTeO+99xASEoKQkBDFSFv+er2RxsNgDOChzzFr1izMmTMHwJWEQnrNnm9EVEsoVCMYwltdXQ1CCNLS0nRPXxT4hxB3gUAAQNvaVFVVhd7eXnR0dOCjjz4CILU2lZSUBBQH2tjYiIGBAcTExCArK8uM5Uiw2WxslOrUqVOxbNkySeNhc3Mzi7T95JNP2IkPdRnwnepaWF3x9vf3KwqvvwmFKSkpTOiLiookE+5oxKuVwisscNYjxF0gEChixNrEX6+Xd6prQa+3B2MAT3FxMcLCwhQ71akgdnV1oa6uDnV1ddi7dy/rVKeCmJKSMux19vf3s4luVle8qampqrY/PQmFHR0d6OjoQEVFBXNc0Pfj/Pnzlq4BEOIeDIS4CwQCn2hZm2inOhWM48ePSwSjtLQUeXl5mjPVg1HxUuFVCnLhO9UBKDYe8s1riYmJTOiLi4sRGxvLKl4t4Q0UI++TvwmFlIGBAbS0tBhOKFSjs7MTnZ2dIuLVYoS4CwQCv1GyNvGC0d7ePizStqioiAlieno6EwxfwmsGVHhTUlJ0Ca9SpzrfeOhwOCSDgrKyskAIAQBLBcuMkyCthMKqqio4nU4AYOszmlDoaw15eXmKAUgCcxDiLhAIAkZPp/r58+fZlm9cXBwTC6/X65fwGiEQUeQ71W+66SYWe0vX1tLSwqxpAHDixAl0dHRIZqqbkYHe1dWFjo4O0ytePqGQjv9NSkpCWlqaYqStnoRCLcSWfHAQ4i4QCExH3qne0tLCxLC2tnZYpzowFJhTWVmJwsJC0ys6Kihm7AxERERgwoQJmDBhAoChTvXTp0/j73//OwDA6/Wiuroa1dXVrFNdPigokDXk5eX51c/gD9SOOGvWLHzlK1/xmVBIT3zkCYVqEEIsn3QoGEKIu0AgsBSbzYasrCxkZWXh+uuvh9vtHpaBDgylkG3btk3SqU4FI5DK1+FwoL293bJrvHFxccz7n5ubi9tvv11yvb6vrw9nzpzBmTNnAAxlA/CNh3qz2PmGQCtQGv+rlFDIDwrq6OhQTCikvRapqamS6/XNzc3o6+tDREQEcnNzLVmHYAgh7gKBIKiEhYWxzvOFCxcqRtrKO9X5DHS5YPiCClZubq7lFW9paSnS0tKQlpYmibTlZ6p3dnaioqICFRUVACDpVFeLtOUrXqv6Eux2u0/hjY6ORllZGcrKygAMXSqga+MTCmlKYUJCAjuJKSkpkZygaFX4gsAR4i4QCEYUtUhb+tPf349z586xsBQqGPTHV0LdSFS8FD7Slnaq84OC+EjbAwcOSCJtS0tLWae63W6H0+m0tOKldsSioiLdwpuUlCRJKLTb7WxttbW16O7uljQe0sFAVn0WgisIcRcIBKMKPtLW6/UOy0CXC0ZmZqYkA50fj8sLr1UVb0tLCxPevLw8zftGRkZi0qRJmDRpEoArneq08uUjbXfv3s061T0eDwD/hNdfAr0WzkfaqiUU0jHGVn0WgisIcRcIBKOWkJAQxUhb6q9vaWlhP4cPH2aRtlTsbTYbnE4nwsPDfQqvUfhsdX+Fl+9Up5G2dG18pzqlsbERO3fuZJPlzGo8HBwcDCjiVQl5QuHp06fxpz/9CfHx8UhNTTXlOQTqBCTua9aswU9/+lOsWrUKa9euVb3fvn37sHr1apw+fRo5OTl49NFH8cADDyjed/v27fje976HZcuW4Z133mG3u91u/Pd//ze2bt0Ku92O7OxsfP/738eTTz5pis1EIBCMfpQibfkt/O7ubhZp+/HHH7MqPjk5Gd3d3YY71bUwy9rFR9rOnz8fHo8H9fX1uHDhAg4ePAhgaL3Hjh1jkbZ5eXlsdoCvTnUt6uvr4fF4EB8fj7S0tIDWoQZtnCwtLRURr0HAsLgfO3YMr7/+OmbOnKl5v+rqaixZsgT3338/tmzZgoMHD2LlypVIT0/HnXfeKblvbW0tHnnkEdx0003DHuf555/H+vXr8bvf/Q7Tpk3D8ePHsXz5ciQmJmLVqlVGlyEQCL7ExMbGYsaMGZgxYwaLtKWVb01NDVwuF4ChTvx169axSFs6WU5vp7oabrcbdXV1AMzfag4NDUVRURG8Xi8OHjyIuLg4LFmyhJ3I8J3q5eXlkk71kpISpKWl6RZRuvtgpfAKf3twMSTuvb29uPvuu7FhwwY888wzmvddv349CgoKWGVfVlaG48eP48UXX5SIu8fjwd13342nnnoK+/fvR1dXl+RxDh8+jGXLlmHp0qUAhq49bdu2DcePHzeyBIFAMMbgI235TnV+pro80jYnJ4dVvmqd6lrU1dXB7XZbWvHyPQPyTnV+10LeqR4fHy9pPIyLi/P5HFY1ul2+fJkN+hHNdMHBkLg/+OCDWLp0KRYtWuRT3A8fPoxbb71VctvixYuxceNGDA4Osm2zp59+Gunp6fjhD38omW9MufHGG7F+/XpUVlZi0qRJ+Oyzz3DgwAHNywEul4uduQNDzSsCgWB8wHeqL1iwgHWqUzHkO9UPHjwo6VQvKSlBZmamzyo2mBGv8oo3KSkJc+fOxdy5c1mnOj8oqKenB5999hk+++wzAEBGRoak8ZB2rjudTia8VgbeAEPNj1onGQLz8Fvct2/fjk8//RTHjh3TdX+73Y7MzEzJbZmZmXC73Whra0N2djYOHjyIjRs3su5XJR577DE4HA5MmTIFoaGh8Hg8ePbZZ/G9731P9d+sWbMGTz31lK7XKRAIxjbyTnU+81zeqQ4Mhcnwla/SaFyrK16n04nm5mafz8F3qt9www0YHByUDApqbm5Ga2srWltbceTIEXbiw4t5RkaGZcJr9fskGI5f4l5fX49Vq1Zh165dfg2DkJ/R0oAFm82Gnp4e3HPPPdiwYYPmttaOHTuwZcsW/OEPf8C0adNw8uRJPPTQQ8jJycF9992n+G+eeOIJrF69mv1/d3c38vPzdb9ugUAwdomPj8esWbMwa9Ys1qnOZ6A7nU6cOnUKp06dAgCkpqZKZqrTQBnA+oo3IyMD8fHxuv9deHi4YqQt7UdwOByora1lHfLAUMf8sWPHUFpaiuTkZNN2IoJhRxQMxy9xr6ioQGtrK6666ip2m8fjQXl5OV5++WW4XK5h3ZpZWVmSUAVgqLklLCwMqampOH36NGpqanDbbbex33u93qEXFxaGc+fOobS0FD/5yU/w+OOP46677gIAzJgxA7W1tVizZo2quEdGRorUIYFA4BO+U51G2jY0NDCxb2xsRHt7O9rb21mnOu28T0pKQkxMjCWvy6wmND7SlhDCBgVVVVWxGNvOzk7s3LkTwFA2AL9rEcj6Ojo64HA4WJKgIDj4Je4LFy6UeC4BYPny5ZgyZQoee+wxRRvG/Pnz8d5770lu27VrF+bNm4fw8HBMmTJl2GM++eST6OnpwUsvvcQqbafTOczyFhoayk4EBAKBwCxCQ0NRWFiIwsJCSaQtnb7W3t6Ojo4OAEONbS+88ILkej0faWsUrcl3gWCz2VikbXFxMf75z38iJCQEN954Ixv763A4cOLECZw4cQLAUJFGXQb5+fmSQUG+oGvIz89n1/kF1uOXuMfHx2P69OmS22JjY5Gamspuf+KJJ9DY2IjNmzcDAB544AG8/PLLWL16Ne6//34cPnwYGzduxLZt2wAMRUXKHzMpKQkAJLffdtttePbZZ1FQUIBp06bhxIkT+PWvf40f/OAH/q1YIBAI/MTfSFvaqU5nqvuzpU7p7OxEV1cXQkJCUFhYaOp6KFR4CwoKcMsttwAABgYGJI2Hra2tsNvtsNvtOHToEMLCwlBQUMBcBllZWZonMsICNzKYPqGuubmZ+T6BoQaKnTt34uGHH8Yrr7yCnJwcrFu3bpjH3Re//e1v8Z//+Z9YuXIlWltbkZOTg3//93/Hf/3Xf5m9BIFAINBEKdKWn6ku71RPT0+XXK/XU8EGo+JVanSLiIjAxIkTMXHiRABD1mf+RIZvRKSRtvwWPi3OgCvxt4AQ92BjI7S7bRzQ3d2NxMREOBwOJCQkjPTLEQgEYxA62IbvVOehneq08s3JyVGcsvnHP/4RZ8+exS233IKbb77Z9Nfp9XrxwgsvwOVyYcWKFboCaQghaGtrkzQe0nnxlJSUFCb0ERER2LJlC6KiovCTn/xETBPlsFqPxGx5gUAgMJGwsDDFTnUqiF1dXaxTnUba0u37kpISpKSkSCJerap4m5qa4HK5EBUVhezsbF3/xmazIT09Henp6bj22mvh8XiGDQrq6OhAR0eHZMBYcXGxEPYgI8RdIBAILITvVAeGusepGFZXV6O/vx///Oc/Wdd6YmIiMjMz0d/fj4iICOTk5FjyuvgteaPCSzvgCwoKWKRtTU0NW19bWxsAsSU/EghxFwgEgiBCO9XnzZvHvPJUDOvr6+FwOOBwOAAMNbdt2LCBVfUFBQV+daprYUWjW2RkJCZPnozJkydjYGAAv/jFL0AIEeI+AghxFwgEghEiJCQEubm5yM3NxU033YSBgQHJ9fqWlhZJpzqtlKnYZ2dnG7LcDQwMoL6+HoB1VXVtbS0IIUhKSrIkjU+gjRB3gUAgGCVERERgwoQJmDBhAoChTnV6vb6qqgo9PT2orq5GdXU161Tnr9frFdHa2lp4vV5LhZeO8bVy7r5AHSHuAoFAMEqJi4uTRNq2t7dLrtf39fXhzJkzOHPmDICh3Hoq9FqRtvz1dquEV1jgRhYh7gKBQPAlwGazIS0tDWlpaZJIW+qvb2hoQGdnJyoqKlBRUcHCZKjY85G2Vs967+npQWtrKwARFjNSCHEXCASCLyF8pC3tVK+trWViz0faHjhwAOHh4SgsLERubq7lwkur9uzsbMvm7gu0EeIuEAgEYwB5pG13dzfbvqeRthcuXMCFCxcADJ0c/P3vf2eVvZmDVMTI2ZFHiLtAIBCMQRISEjB79mzMnj0bhBC0tray6/W1tbUYHBzEF198wYK70tLS2NS8oqIiw4mahBBJM51gZBDiLhAIBGMcm82GzMxMZGZmYv78+fB4PKivr2di39TUhLa2NrS1tbFI27y8PFbV5+bmKqZ+KtHW1obe3l4WMCMYGYS4CwQCwTgjNDQURUVFKCoqwle/+lX09fVJJst1dHSgvr4e9fX12LdvHyIiIlBUVMTEPi0tTbXLnlbtBQUFrIFPEHzEOy8QCATjnOjoaJSVlaGsrAzAUEY9nwTX19eHyspKVFZWArgSaUt/4uLi2GMJC9zoQIi7QCAQCCQkJSVh7ty5mDt3LgghsNvtkuv18kjbjIwMFmcrxH10MK7Enabbdnd3j/ArEQgEgi8PsbGxbJjO4OAgGhoaUFNTg5qaGtjtdtTV1aGuro7dPyYmBjExMeJYqwF9b6xKXR9Xee4NDQ3Iz88f6ZchEAgEAgEAoL6+Hnl5eaY/7rgSd6/Xi6amJsTHx0uaQbq7u5Gfn4/6+npTvZ6jDbHOscV4WScwftYq1jm20FonIQQ9PT3IycmxJOt+XG3Lh4SEaJ4hJSQkjOkvGkWsc2wxXtYJjJ+1inWOLdTWmZiYaNlzmn+6IBAIBAKBYEQR4i4QCAQCwRhDiDuGZjL//Oc/Nzxu8cuCWOfYYrysExg/axXrHFuM5DrHVUOdQCAQCATjAVG5CwQCgUAwxhDiLhAIBALBGEOIu0AgEAgEYwwh7gKBQCAQjDG+1OJeVFQEm8027OfBBx9U/Tculws/+9nPUFhYiMjISJSWluKNN95gvx8cHMTTTz+N0tJSREVFYdasWfj73/8+7HEaGxtxzz33IDU1FTExMZg9ezYqKirG1DrdbjeefPJJFBcXIzo6GiUlJXj66afh9XpHxTq///3vK95/2rRpkvu9/fbbmDp1KiIjIzF16lT85S9/GfZYr776KoqLixEVFYWrrroK+/fvt2SNlJFa65o1a3D11VcjPj4eGRkZuP3223Hu3Lkxt06eNWvWwGaz4aGHHjJzaRJGcp2j+Vhk1jrHwrHo9OnTuPPOO9ljr127VvGxTDsWkS8xra2tpLm5mf3s3r2bACB79uxR/Tff+ta3yLXXXkt2795NqqurySeffEIOHjzIfv/oo4+SnJwc8sEHH5Cqqiry6quvkqioKPLpp5+y+3R0dJDCwkLy/e9/n3zyySekurqafPTRR+TChQtjap3PPPMMSU1NJe+//z6prq4mb731FomLiyNr164dFevs6uqS3L++vp6kpKSQn//85+w+hw4dIqGhoeS5554jZ8+eJc899xwJCwsjR44cYffZvn07CQ8PJxs2bCBnzpwhq1atIrGxsaS2ttaSdY7kWhcvXkzefPNNcurUKXLy5EmydOlSUlBQQHp7e8fUOilHjx4lRUVFZObMmWTVqlWWrJGQkVvnaD8WmbXOsXAsOnr0KHnkkUfItm3bSFZWFvnNb34z7HHMPBZ9qcVdzqpVq0hpaSnxer2Kv//b3/5GEhMTSXt7u+pjZGdnk5dfflly27Jly8jdd9/N/v+xxx4jN954ozkv2gDBWufSpUvJD37wA8l9/uVf/oXcc889Abx6/fhap5y//OUvxGazkZqaGnbbd7/7XfL1r39dcr/FixeTu+66i/3/NddcQx544AHJfaZMmUIef/zxAF69fwRrrXJaW1sJALJv3z5jL9xPgrnOnp4eMnHiRLJ7926yYMECS8VdTrDWOdqPRXKMrnMsHIt4CgsLFcXdzGPRl3pbnmdgYABbtmzBD37wA0koDM+7776LefPm4YUXXkBubi4mTZqERx55BH19few+LpcLUVFRkn8XHR2NAwcODHuc73znO8jIyMCcOXOwYcMGaxYmI5jrvPHGG/GPf/wDlZWVAIDPPvsMBw4cwJIlSyxYmRQ965SzceNGLFq0CIWFhey2w4cP49Zbb5Xcb/HixTh06BB7noqKimH3ufXWW9l9rCZYa1XC4XAAAFJSUgy8cv8I9joffPBBLF26FIsWLQr8xftBMNc52o9Fcoyucywci/Q8j6nHIr9PB0YpO3bsIKGhoaSxsVH1PosXLyaRkZFk6dKl5JNPPiEffPABKSwsJMuXL2f3+d73vkemTp1KKisricfjIbt27SLR0dEkIv5L+HgAAAiVSURBVCKC3ScyMpJERkaSJ554gnz66adk/fr1JCoqivzud7+zdI2EBHedXq+XPP7448Rms5GwsDBis9nIc889Z+n6KHrWydPU1ERCQ0PJjh07JLeHh4eTrVu3Sm7bunUrW2djYyMBILlkQQghzz77LJk0aVIAK9BPsNYqx+v1kttuuy1olV8w17lt2zYyffp00tfXRwghQa3cg7nO0X4s4glknWPhWMSjVLmbfSwaM+J+6623km9+85ua9/na175GoqKiSFdXF7vt7bffJjabjTidTkLI0DblsmXLSEhICAkNDSWTJk0iK1euJNHR0ezfhIeHk/nz50se+8c//jG57rrrTFyRMsFc57Zt20heXh7Ztm0b+fzzz8nmzZtJSkoK2bRpkzWL49CzTp7nnnuOpKamEpfLJbk9PDyc/OEPf5DctmXLFhIZGUkIufIHdejQIcl9nnnmGTJ58mSDr94/grVWOStXriSFhYWkvr7e/xdtgGCts66ujmRkZJCTJ0+y3wdT3IP5eY72YxFPIOscC8ciHi1xN+tYNCa25Wtra/HRRx9hxYoVmvfLzs5Gbm6uJGavrKwMhBA0NDQAANLT0/HOO+/g8uXLqK2txT//+U/ExcWhuLhY8jhTp06VPHZZWRnq6upMXNVwgr3On/zkJ3j88cdx1113YcaMGbj33nvx8MMPY82aNdYs8P+jd50UQgjeeOMN3HvvvYiIiJD8LisrC3a7XXJba2srMjMzAQBpaWkIDQ3VvI+VBHOtPD/+8Y/x7rvvYs+ePZoxyGYRzHVWVFSgtbUVV111FcLCwhAWFoZ9+/Zh3bp1CAsLg8fjMWdRCgT78xztxyJKoOscC8ciX5h9LBoT4v7mm28iIyMDS5cu1bzfDTfcgKamJvT29rLbKisrFXPeo6KikJubC7fbjbfffhvLli2TPI7cPlRZWenX9RUjBHudTqcTISHSr0hoaKhl9hOK3nVS9u3bhwsXLuCHP/zhsN/Nnz8fu3fvlty2a9cuXH/99QCAiIgIXHXVVcPus3v3bnYfKwnmWoGhg89//Md/4M9//jM+/vhjycmclQRznQsXLsQXX3yBkydPsp958+bh7rvvxsmTJxEaGhr4glQI9uc52o9FlEDXORaORb4w/Vjkd60/yvB4PKSgoIA89thjw373+OOPk3vvvZf9f09PD8nLyyPf/va3yenTp8m+ffvIxIkTyYoVK9h9jhw5Qt5++21SVVVFysvLyVe/+lVSXFxMOjs72X2OHj1KwsLCyLPPPkvOnz9Ptm7dSmJiYsiWLVvG1Drvu+8+kpuby+wnf/7zn0laWhp59NFHR8U6Kffccw+59tprFR/v4MGDJDQ0lPziF78gZ8+eJb/4xS9UrXAbN24kZ86cIQ899BCJjY1V7XQ1i5FY649+9COSmJhI9u7dK7Hu0Ms1VjAS65QTjG35kVjnaD8WUQJd51g4FrlcLnLixAly4sQJkp2dTR555BFy4sQJcv78eXYfM49FX3px//DDDwkAcu7cuWG/u++++8iCBQskt509e5YsWrSIREdHk7y8PLJ69WrJgW3v3r2krKyMREZGktTUVHLvvfcqNlK89957ZPr06SQyMpJMmTKFvP7666avjWck1tnd3U1WrVpFCgoKSFRUFCkpKSE/+9nPNK8lBYq/6+zq6iLR0dGa7/9bb71FJk+eTMLDw8mUKVPI22+/Pew+r7zyCiksLCQRERFk7ty5QbGGjcRaASj+vPnmm2YsSZGR+kx5giHuI7XO0X4sMmOdY+FYVF1drfi3J38cs45FIvJVIBAIBIIxxpi45i4QCAQCgeAKQtwFAoFAIBhjCHEXCAQCgWCMIcRdIBAIBIIxhhB3gUAgEAjGGELcBQKBQCAYYwhxFwgEAoFgjCHEXSAQCASCMYYQd4FAIBAIZJSXl+O2225DTk4ObDYb3nnnHb8fgxCCF198EZMmTUJkZCTy8/Px3HPPmf9iFQgLyrMIBAKBQPAl4vLly5g1axaWL1+OO++809BjrFq1Crt27cKLL76IGTNmwOFwoK2tzeRXqowYPysQCAQCgQY2mw1/+ctfcPvtt7PbBgYG8OSTT2Lr1q3o6urC9OnT8fzzz+MrX/kKAODs2bOYOXMmTp06hcmTJwf9NYtteYFAIBAI/GT58uU4ePAgtm/fjs8//xzf+c538PWvfx3nz58HALz33nsoKSnB+++/j+LiYhQVFWHFihXo6OgIyusT4i4QCAQCgR9UVVVh27ZteOutt3DTTTehtLQUjzzyCG688Ua8+eabAICLFy+itrYWb731FjZv3oxNmzahoqIC3/72t4PyGsU1d4FAIBAI/ODTTz8FIQSTJk2S3O5yuZCamgoA8Hq9cLlc2Lx5M7vfxo0bcdVVV+HcuXOWb9ULcRcIBAKBwA+8Xi9CQ0NRUVGB0NBQye/i4uIAANnZ2QgLC5OcAJSVlQEA6urqhLgLBAKBQDCamDNnDjweD1pbW3HTTTcp3ueGG26A2+1GVVUVSktLAQCVlZUAgMLCQstfo+iWFwgEAoFARm9vLy5cuABgSMx//etf45ZbbkFKSgoKCgpwzz334ODBg/jVr36FOXPmoK2tDR9//DFmzJiBJUuWwOv14uqrr0ZcXBzWrl0Lr9eLBx98EAkJCdi1a5flr1+Iu0AgEAgEMvbu3Ytbbrll2O333XcfNm3ahMHBQTzzzDPYvHkzGhsbkZqaivnz5+Opp57CjBkzAABNTU348Y9/jF27diE2Nhbf+MY38Ktf/QopKSmWv34h7gKBQCAQjDGEFU4gEAgEgjGGEHeBQCAQCMYYQtwFAoFAIBhjCHEXCAQCgWCMIcRdIBAIBIIxhhB3gUAgEAjGGELcBQKBQCAYYwhxFwgEAoFgjCHEXSAQCASCMYYQd4FAIBAIxhhC3AUCgUAgGGP8P+sDuzLcyiHVAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "conv = 3.28084\n",
    "mg2 = flopy.discretization.StructuredGrid(\n",
    "    modelgrid.delc * conv,\n",
    "    modelgrid.delr * conv,\n",
    "    modelgrid.top * conv,\n",
    "    modelgrid.botm * conv,\n",
    "    modelgrid.idomain,\n",
    "    xoff=xoff * conv,\n",
    "    yoff=yoff * conv,\n",
    "    angrot=angrot\n",
    ")\n",
    "print(mg2)\n",
    "mg2.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "474d307a",
   "metadata": {},
   "source": [
    "### Finding a cell's nearest neighbors\n",
    "\n",
    "Imagine that we want to find the nearest neighbors of a cell for some reason. The modelgrid has a built in method to 1) internally construct a table of nearest neighbors and 2) return the nearest neighbors for a given cell to the user."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9b7fd96b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.206411Z",
     "iopub.status.busy": "2025-04-27T15:59:38.206324Z",
     "iopub.status.idle": "2025-04-27T15:59:38.211140Z",
     "shell.execute_reply": "2025-04-27T15:59:38.210652Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.206402Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(np.int64(0), np.int64(0), np.int64(4)),\n",
       " (np.int64(0), np.int64(0), np.int64(6)),\n",
       " (np.int64(0), np.int64(1), np.int64(5))]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cell = (0, 0, 5)\n",
    "\n",
    "neighbors = modelgrid.neighbors(*cell)\n",
    "neighbors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5047684b",
   "metadata": {},
   "source": [
    "### Finding grid cells by point location\n",
    "\n",
    "If we want to find a cell number based on x, y coordinate location the model grid has a built in `.intersect()` method that takes `x`, `y`, and an optional `z` coordinate and returns the cell number "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6426d2bc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.211752Z",
     "iopub.status.busy": "2025-04-27T15:59:38.211660Z",
     "iopub.status.idle": "2025-04-27T15:59:38.214600Z",
     "shell.execute_reply": "2025-04-27T15:59:38.214306Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.211743Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'rowcol=(np.int64(13), np.int64(8)), layrowcol=(0, np.int64(13), np.int64(8))'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x, y, z = 2348000, 1235000, 25\n",
    "\n",
    "rowcol = modelgrid.intersect(x, y) # without z\n",
    "layrowcol = modelgrid.intersect(x, y, z) # with z location\n",
    "\n",
    "f\"{rowcol=}, {layrowcol=}\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8389b845",
   "metadata": {},
   "source": [
    "## Vertex model grid\n",
    "\n",
    "The vertex model grid is produced for MODFLOW model discretizations that are defined by vertices (`DISV`). We can build a quadtree vertex grid from an exiting structured modelgrid using the gridgen utility and the `Gridgen` class."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1791cc4a",
   "metadata": {},
   "source": [
    "First let's unrotate the grid coordinates of our structured grid to make this easy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "50642957",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.214991Z",
     "iopub.status.busy": "2025-04-27T15:59:38.214907Z",
     "iopub.status.idle": "2025-04-27T15:59:38.260057Z",
     "shell.execute_reply": "2025-04-27T15:59:38.259822Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.214982Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pk6qrq7V48eKg7ObmZi1btkwFBQXq3Dl41x0Ohx588EFVVlZq4MCBGjhwoCorK9WlSxf98Ic/DGvGoqIiJScnh/tPc9Esy5LX65UkFRcXy+l0kh2l2bE4M9mcZ2RHZ7ZlWaqoqOjw+rALxzvvvKPc3NzA7dmzZ0uSCgoKtHz5ch07dkyHDh0KbF+yZInOnj2rwsLCoA/palkvnftsj5kzZ+rIkSNKSEjQ4MGDtXLlSt17771B2a+++qoOHTqk6dOnh9y3hx9+WF988YVmzpypkydP6uabb9aWLVuUmJgY1oxOpzOiJwvZsZkdizOTzXlGdvRmtyfswpGTk6O23vbRUiJa1NbWtvuc5eXlKi8vb3fdmDFj2sx2OBwqKytTWVlZu88FAAAih+9SAQAAtqNwAAAA21E4AACA7SgcAADAdhQOAABgOwoHAACwHYUDAADYjsIBAABsR+EAAAC2o3AAAADbUTgAAIDtKBwAAMB2FA4AAGC7sL8tNhZYliXLsiKaF+p3sqMvOxZnJjvy2bE4M9mRzw43y2Ha+r73GOP3++XxeFRSUqL4+PgrvTsAAFzVGhsbVVVVJZ/PJ7fb3eZaLqkAAADbcUklhKKiIiUnJ0csz7Iseb1eSVJxcbGcTifZUZodizOTzXlGdnRmW5alioqKDq+ncITgdDojerKQHZvZsTgz2ZxnZEdvdnu4pAIAAGxH4QAAALajcAAAANtROAAAgO0oHAAAwHYUDgAAYDsKBwAAsB2FAwAA2I7CAQAAbEfhAAAAtqNwAAAA21E4AACA7SgcAADAdnxbbAiWZcmyrIjmhfqd7OjLjsWZyY58dizOTHbks8PNchhjjE378rXj9/vl8XhUUlKi+Pj4K707AABc1RobG1VVVSWfzye3293mWi6pAAAA23FJJYSioiIlJydHLM+yLHm9XklScXGxnE4n2VGaHYszk815RnZ0ZluWpYqKig6vp3CE4HQ6I3qykB2b2bE4M9mcZ2RHb3Z7uKQCAABsR+EAAAC2o3AAAADbUTgAAIDtKBwAAMB2FA4AAGA7CgcAALAdhQMAANiOwgEAAGxH4QAAALajcAAAANtROAAAgO0oHAAAwHYUDgAAYLuwv55+27Zt+s1vfqOdO3fq2LFjWrdunSZMmHDB9WvXrtXixYtVV1enpqYm3XDDDSorK9PYsWOD1lRWVurAgQP68ssvNXDgQBUXF+vHP/5x0HMdPXpUv/jFL/Tyyy/riy++0KBBg/T000/rO9/5jiRp6tSpWrFiRdBjbr75Zv3xj38Ma0bLsmRZVliPuRTnZ0Uyl+zIZ8fizGRHPjsWZyY78tnhZjmMMSacB7z88svasWOHvv3tb+uee+5pt3A8+OCDSktLU25urrp3765ly5Zp/vz5+tOf/qSsrCxJUm1trU6ePKnBgwfL6XTqxRdfVHFxsV566aVAMTl58qSysrKUm5urn/70p0pJSdGHH36ofv36KTMzU9K5wvHnP/9Zy5YtC+Q7nU4lJSV1aDa/3y+Px6OSkhLFx8eH888CAEDMaWxsVFVVlXw+n9xud5trw36FIz8/X/n5+R1ev2DBgqDblZWV2rBhgzZu3BgoHDk5OUFrZs2apRUrVmj79u2BwjFv3jz17ds3qEz069evVZ7L5VLv3r07vH8AAMB+YReOS9Xc3KzTp09f8FUHY4xee+017d27V/PmzQvc/8ILL2js2LGaNGmSXn/9dfXp00czZ87UAw88EPT42tpapaSkqHv37ho9erQqKiqUkpISMqupqUlNTU2B236/X5JUVFSk5OTkSx21wyzLktfrlSQVFxfL6XSSHaXZsTgz2ZxnZEdntmVZqqio6PD6iBcOr9erM2fOaPLkyUH3+3w+9enTR01NTYqLi9NTTz2lvLy8wPaDBw9q8eLFmj17th555BG99dZb+tnPfiaXy6UpU6ZIOvfqy6RJk5SRkaH6+nr98pe/1He/+13t3LlTLper1b7MnTtXjz32WKv7nU5nRE8WsmMzOxZnJpvzjOzozW5PRAtHTU2NysrKtGHDhlavOiQmJqqurk4NDQ3aunWrZs+erQEDBgQutzQ3Nys7O1uVlZWSpKysLH3wwQdavHhxoHDce++9gee78cYblZ2drYyMDL300kuaOHFiq/0pLS3V7NmzA7f9fr/69u17uccGACDmRaxwrF69WjNmzNCaNWt0++23t9reqVMnXXfddZKkYcOGac+ePZo7d26gcKSmpuqb3/xm0GOuv/56Pf/88xfMTE1NVUZGhvbv3x9yu8vlCvnKBwAAuLwi8jkcNTU1mjp1qlatWqVx48Z16DHGmKD3V4waNUp79+4NWrNv3z5lZGRc8Dk+++wzHT58WKmpqRe34wAA4LII+xWOhoYGHThwIHC7vr5edXV1SkpKUnp6ukpLS3X06FFVV1dLOlc2pkyZooULF2r48OE6fvy4JCkhIUEej0fSufdSZGdnKzMzU5ZladOmTaqurtbixYsDOT//+c81cuRIVVZWavLkyXrrrbe0dOlSLV26NLBfZWVluueee5SamqqPPvpIjzzyiJKTk3X33Xdf/L8QAAC4ZGEXjnfeeUe5ubmB2y3vgSgoKNDy5ct17NgxHTp0KLB9yZIlOnv2rAoLC1VYWBi4v2W9JJ05c0YzZ87UkSNHlJCQoMGDB2vlypVB78m46aabtG7dOpWWlurxxx9X//79tWDBAv3oRz+SJMXFxWn37t2qrq7WqVOnlJqaqtzcXK1evVqJiYnhjgkAAC6jsAtHTk6O2vqssJYS0aK2trbd5ywvL1d5eXm76+666y7dddddIbclJCRo8+bN7T4HAACIPL5LBQAA2I7CAQAAbEfhAAAAtqNwAAAA21E4AACA7SgcAADAdhQOAABgu4h/W+zXgWVZsiwronmhfic7+rJjcWayI58dizOTHfnscLMcpq1P8Yoxfr9fHo9HJSUlio+Pv9K7AwDAVa2xsVFVVVXy+Xxyu91truWSCgAAsB2XVEIoKipScnJyxPIsy5LX65UkFRcXy+l0kh2l2bE4M9mcZ2RHZ7ZlWaqoqOjwegpHCE6nM6InC9mxmR2LM5PNeUZ29Ga3h0sqAADAdhQOAABgOwoHAACwHYUDAADYjsIBAABsR+EAAAC2o3AAAADbUTgAAIDtKBwAAMB2FA4AAGA7CgcAALAdhQMAANiOwgEAAGxH4QAAALbj6+lDsCxLlmVFNC/U72RHX3Yszkx25LNjcWayI58dbpbDGGNs2pevHb/fL4/Ho5KSEsXHx1/p3QEA4KrW2Nioqqoq+Xw+ud3uNtdySQUAANiOSyohFBUVKTk5OWJ5lmXJ6/VKkoqLi+V0OsmO0uxYnJlszjOyozPbsixVVFR0eD2FIwSn0xnRk4Xs2MyOxZnJ5jwjO3qz28MlFQAAYDsKBwAAsB2FAwAA2I7CAQAAbEfhAAAAtqNwAAAA21E4AACA7SgcAADAdhQOAABgOwoHAACwHYUDAADYjsIBAABsR+EAAAC249tiQ7AsS5ZlRTQv1O9kR192LM5MduSzY3FmsiOfHW6WwxhjbNqXrx2/3y+Px6OSkhLFx8df6d0BAOCq1tjYqKqqKvl8Prnd7jbXckkFAADYjksqIRQVFSk5OTlieZZlyev1SpKKi4vldDrJjtLsWJyZbM4zsqMz27IsVVRUdHg9hSMEp9MZ0ZOF7NjMjsWZyeY8Izt6s9vDJRUAAGA7CgcAALBd2IVj27ZtGj9+vNLS0uRwOLR+/fo2169du1Z5eXnq2bOn3G63RowYoc2bN7dak52dre7du6tr164aNmyYnnnmmVbPdfToUd13333q0aOHunTpomHDhmnnzp2B7cYYlZWVKS0tTQkJCcrJydEHH3wQ7ogAAOAyC7twnDlzRkOHDtWiRYs6tH7btm3Ky8vTpk2btHPnTuXm5mr8+PF67733AmuSkpI0Z84cvfnmm9q1a5emTZumadOmBRWTkydPatSoUbrmmmv08ssv67//+7/l9XrVvXv3wJpf//rXeuKJJ7Ro0SK9/fbb6t27t/Ly8nT69OlwxwQAAJdR2G8azc/PV35+fofXL1iwIOh2ZWWlNmzYoI0bNyorK0uSlJOTE7Rm1qxZWrFihbZv366xY8dKkubNm6e+fftq2bJlgXX9+vUL/G6M0YIFCzRnzhxNnDhRkrRixQr16tVLq1at0k9+8pMwpgQAAJdTxN/D0dzcrNOnTyspKSnkdmOMtm7dqr179+q2224L3P/CCy8oOztbkyZNUkpKirKysvT73/8+sL2+vl7Hjx/XmDFjAve5XC6NHj1ab7zxRsispqYm+f3+oB8AAHD5RbxweL1enTlzRpMnTw663+fzqVu3bnI6nRo3bpyefPJJ5eXlBbYfPHhQixcv1sCBA7V582b9wz/8g372s5+purpaknT8+HFJUq9evYKet1evXoFtf23u3LnyeDyBn759+17OUQEAwP8X0c/hqKmpUVlZmTZs2KCUlJSgbYmJiaqrq1NDQ4O2bt2q2bNna8CAAYHLLc3NzcrOzlZlZaUkKSsrSx988IEWL16sKVOmBJ7H4XAEPa8xptV9LUpLSzV79uzAbb/fT+kAAMAGESscq1ev1owZM7RmzRrdfvvtrbZ36tRJ1113nSRp2LBh2rNnj+bOnRsoHKmpqfrmN78Z9Jjrr79ezz//vCSpd+/eks690pGamhpYc+LEiVaverRwuVxyuVyXPBsAAGhbRC6p1NTUaOrUqVq1apXGjRvXoccYY9TU1BS4PWrUKO3duzdozb59+5SRkSFJ6t+/v3r37q1XXnklsN2yLL3++usaOXLkZZgCAABcrLBf4WhoaNCBAwcCt+vr61VXV6ekpCSlp6ertLRUR48eDby3oqamRlOmTNHChQs1fPjwwPspEhIS5PF4JJ17L0V2drYyMzNlWZY2bdqk6upqLV68OJDz85//XCNHjlRlZaUmT56st956S0uXLtXSpUslnbuU8uCDD6qyslIDBw7UwIEDVVlZqS5duuiHP/zhxf8LAQCASxZ24XjnnXeUm5sbuN3yHoiCggItX75cx44d06FDhwLblyxZorNnz6qwsFCFhYWB+1vWS+c+22PmzJk6cuSIEhISNHjwYK1cuVL33ntvYP1NN92kdevWqbS0VI8//rj69++vBQsW6Ec/+lFgzcMPP6wvvvhCM2fO1MmTJ3XzzTdry5YtSkxMDHdMAABwGYVdOHJycmSMueD2lhLRora2tt3nLC8vV3l5ebvr7rrrLt11110X3O5wOFRWVqaysrJ2nwsAAEQO36UCAABsx9fTh2BZlizLimheqN/Jjr7sWJyZ7Mhnx+LMZEc+O9wsh2nr+kiM8fv98ng8KikpUXx8/JXeHQAArmqNjY2qqqqSz+eT2+1ucy2XVAAAgO24pBJCUVGRkpOTI5ZnWZa8Xq8kqbi4WE6nk+wozY7FmcnmPCM7OrMty1JFRUWH11M4QnA6nRE9WciOzexYnJlszjOyoze7PVxSAQAAtqNwAAAA21E4AACA7SgcAADAdhQOAABgOwoHAACwHYUDAADYjsIBAABsR+EAAAC2o3AAAADbUTgAAIDtKBwAAMB2FA4AAGA7vi02BMuyZFlWRPNC/U529GXH4sxkRz47FmcmO/LZ4WY5jDHGpn352vH7/fJ4PCopKVF8fPyV3h0AAK5qjY2Nqqqqks/nk9vtbnMtl1QAAIDtuKQSQlFRkZKTkyOWZ1mWvF6vJKm4uFhOp5PsKM2OxZnJ5jwjOzqzLctSRUVFh9dTOEJwOp0RPVnIjs3sWJyZbM4zsqM3uz1cUgEAALajcAAAANtROAAAgO0oHAAAwHYUDgAAYDsKBwAAsB2FAwAA2I7CAQAAbEfhAAAAtqNwAAAA21E4AACA7SgcAADAdhQOAABgOwoHAACwHV9PH4JlWbIsK6J5oX4nO/qyY3FmsiOfHYszkx357HCzHMYYY9O+fO34/X55PB6VlJQoPj7+Su8OAABXtcbGRlVVVcnn88ntdre5lksqAADAdlxSCaGoqEjJyckRy7MsS16vV5JUXFwsp9NJdpRmx+LMZHOekR2d2ZZlqaKiosPrKRwhOJ3OiJ4sZMdmdizOTDbnGdnRm90eLqkAAADbUTgAAIDtKBwAAMB2FA4AAGA7CgcAALAdhQMAANiOwgEAAGwXduHYtm2bxo8fr7S0NDkcDq1fv77N9WvXrlVeXp569uwpt9utESNGaPPmza3WZGdnq3v37uratauGDRumZ555JmhNWVmZHA5H0E/v3r2D1kydOrXVmuHDh4c7IgAAuMzCLhxnzpzR0KFDtWjRog6t37Ztm/Ly8rRp0ybt3LlTubm5Gj9+vN57773AmqSkJM2ZM0dvvvmmdu3apWnTpmnatGmtiskNN9ygY8eOBX52797dKu+OO+4IWrNp06ZwRwQAAJdZ2J80mp+fr/z8/A6vX7BgQdDtyspKbdiwQRs3blRWVpYkKScnJ2jNrFmztGLFCm3fvl1jx479v53t3LnVqxp/zeVytbsGAABEVsTfw9Hc3KzTp08rKSkp5HZjjLZu3aq9e/fqtttuC9q2f/9+paWlqX///vq7v/s7HTx4sNXja2trlZKSokGDBumBBx7QiRMnLrgvTU1N8vv9QT8AAODyi3jh8Hq9OnPmjCZPnhx0v8/nU7du3eR0OjVu3Dg9+eSTysvLC2y/+eabVV1drc2bN+v3v/+9jh8/rpEjR+qzzz4LrMnPz9ezzz6r1157TV6vV2+//ba++93vqqmpKeS+zJ07Vx6PJ/DTt29fe4YGACDGRfTL22pqalRWVqYNGzYoJSUlaFtiYqLq6urU0NCgrVu3avbs2RowYEDgcsv5l3GGDBmiESNGKDMzUytWrNDs2bMlSffee29gzY033qjs7GxlZGTopZde0sSJE1vtT2lpaeCxkuT3+ykdAADYIGKFY/Xq1ZoxY4bWrFmj22+/vdX2Tp066brrrpMkDRs2THv27NHcuXNbvb+jRdeuXTVkyBDt37//gpmpqanKyMi44BqXyyWXy9XqfsuyZFlWB6a6PM7PimQu2ZHPjsWZyY58dizOTHbks8PNchhjzMWGORwOrVu3ThMmTGhzXU1NjaZPn66ampp217aYMWOGPvzwQ9XW1obc3tTUpMzMTP393/+9/umf/inkms8++0x9+vTR0qVLNWXKlHYz/X6/PB6PSkpKFB8f36H9BAAgVjU2Nqqqqko+n09ut7vNtWG/wtHQ0KADBw4EbtfX16uurk5JSUlKT09XaWmpjh49qurqaknnysaUKVO0cOFCDR8+XMePH5ckJSQkyOPxSDr3Xors7GxlZmbKsixt2rRJ1dXVWrx4cSDnoYce0vjx45Wenq4TJ06ovLxcfr9fBQUFgf0qKyvTPffco9TUVH300Ud65JFHlJycrLvvvjvcMQEAwGUUduF45513lJubG7jd8h6IgoICLV++XMeOHdOhQ4cC25csWaKzZ8+qsLBQhYWFgftb1kvnPttj5syZOnLkiBISEjR48GCtXLky6D0ZR44c0Q9+8AN9+umn6tmzp4YPH64//vGPysjIkCTFxcVp9+7dqq6u1qlTp5Samqrc3FytXr1aiYmJYc1YVFSk5OTkcP9pLpplWfJ6vZKk4uJiOZ1OsqM0OxZnJpvzjOzozLYsSxUVFR1eH3bhyMnJUVtXYVpKRIsLXRI5X3l5ucrLy9tc89xzz7W5PSEhodUHhV0sp9MZ0ZOF7NjMjsWZyeY8Izt6s9vDd6kAAADbUTgAAIDtKBwAAMB2FA4AAGA7CgcAALAdhQMAANiOwgEAAGxH4QAAALajcAAAANtROAAAgO0oHAAAwHYUDgAAYDsKBwAAsB2FAwAA2C7sr6ePBZZlybKsiOaF+p3s6MuOxZnJjnx2LM5MduSzw81yGGOMTfvyteP3++XxeFRSUqL4+PgrvTsAAFzVGhsbVVVVJZ/PJ7fb3eZaLqkAAADbcUklhKKiIiUnJ0csz7Iseb1eSVJxcbGcTifZUZodizOTzXlGdnRmW5alioqKDq+ncITgdDojerKQHZvZsTgz2ZxnZEdvdnu4pAIAAGxH4QAAALajcAAAANtROAAAgO0oHAAAwHYUDgAAYDsKBwAAsB2FAwAA2I7CAQAAbEfhAAAAtqNwAAAA21E4AACA7SgcAADAdnxbbAiWZcmyrIjmhfqd7OjLjsWZyY58dizOTHbks8PNchhjjE378rXj9/vl8XhUUlKi+Pj4K707AABc1RobG1VVVSWfzye3293mWi6pAAAA23FJJYSioiIlJydHLM+yLHm9XklScXGxnE4n2VGaHYszk815RnZ0ZluWpYqKig6vp3CE4HQ6I3qykB2b2bE4M9mcZ2RHb3Z7uKQCAABsR+EAAAC2o3AAAADbUTgAAIDtKBwAAMB2FA4AAGA7CgcAALAdhQMAANiOwgEAAGxH4QAAALajcAAAANtROAAAgO0oHAAAwHYUDgAAYLuwv55+27Zt+s1vfqOdO3fq2LFjWrdunSZMmHDB9WvXrtXixYtVV1enpqYm3XDDDSorK9PYsWOD1lRWVurAgQP68ssvNXDgQBUXF+vHP/5xYE1ZWZkee+yxoOfu1auXjh8/HrhtjNFjjz2mpUuX6uTJk7r55pv1r//6r7rhhhvCmtGyLFmWFdZjLsX5WZHMJTvy2bE4M9mRz47FmcmOfHa4WQ5jjAnnAS+//LJ27Nihb3/727rnnnvaLRwPPvig0tLSlJubq+7du2vZsmWaP3++/vSnPykrK0uSVFtbq5MnT2rw4MFyOp168cUXVVxcrJdeeilQTMrKyvQf//EfevXVVwPPHRcXp549ewZuz5s3TxUVFVq+fLkGDRqk8vJybdu2TXv37lViYmK7s/n9fnk8HpWUlCg+Pj6cfxYAAGJOY2Ojqqqq5PP55Ha721wb9isc+fn5ys/P7/D6BQsWBN2urKzUhg0btHHjxkDhyMnJCVoza9YsrVixQtu3bw96JaRz587q3bt3yBxjjBYsWKA5c+Zo4sSJkqQVK1aoV69eWrVqlX7yk590eJ8BAMDlFXbhuFTNzc06ffq0kpKSQm43xui1117T3r17NW/evKBt+/fvV1pamlwul26++WZVVlZqwIABkqT6+nodP35cY8aMCax3uVwaPXq03njjjZCFo6mpSU1NTYHbfr9fklRUVKTk5ORLnrWjLMuS1+uVJBUXF8vpdJIdpdmxODPZnGdkR2e2ZVmqqKjo8PqIFw6v16szZ85o8uTJQff7fD716dNHTU1NiouL01NPPaW8vLzA9ptvvlnV1dUaNGiQ/vznP6u8vFwjR47UBx98oB49egTey9GrV6+g5+3Vq5c+/vjjkPsyd+7cVu8LkSSn0xnRk4Xs2MyOxZnJ5jwjO3qz2xPRwlFTU6OysjJt2LBBKSkpQdsSExNVV1enhoYGbd26VbNnz9aAAQMCl1vOv4wzZMgQjRgxQpmZmVqxYoVmz54d2OZwOIKe1xjT6r4WpaWlQY/1+/3q27fvpY4JAAD+SsQKx+rVqzVjxgytWbNGt99+e6vtnTp10nXXXSdJGjZsmPbs2aO5c+e2en9Hi65du2rIkCHav3+/JAXe23H8+HGlpqYG1p04caLVqx4tXC6XXC7XpYwFAAA6ICKfw1FTU6OpU6dq1apVGjduXIceY4wJen/FX2tqatKePXsC5aJ///7q3bu3XnnllcAay7L0+uuva+TIkZc2AAAAuCRhv8LR0NCgAwcOBG7X19errq5OSUlJSk9PV2lpqY4eParq6mpJ58rGlClTtHDhQg0fPjzwXouEhAR5PB5J595LkZ2drczMTFmWpU2bNqm6ulqLFy8O5Dz00EMaP3680tPTdeLECZWXl8vv96ugoEDSuUspDz74oCorKzVw4EANHDhQlZWV6tKli374wx9e/L8QAAC4ZGEXjnfeeUe5ubmB2y3vgSgoKNDy5ct17NgxHTp0KLB9yZIlOnv2rAoLC1VYWBi4v2W9JJ05c0YzZ87UkSNHlJCQoMGDB2vlypW69957A+uPHDmiH/zgB/r000/Vs2dPDR8+XH/84x+VkZERWPPwww/riy++0MyZMwMf/LVly5YOfQYHAACwT9iFIycnR219VlhLiWhRW1vb7nOWl5ervLy8zTXPPfdcu8/jcDhUVlamsrKydtcCAIDI4btUAACA7SgcAADAdhQOAABgOwoHAACwHYUDAADYjsIBAABsR+EAAAC2i/i3xX4dWJYly7Iimhfqd7KjLzsWZyY78tmxODPZkc8ON8th2voUrxjj9/vl8XhUUlKi+Pj4K707AABc1RobG1VVVSWfzye3293mWi6pAAAA23FJJYSioiIlJydHLM+yLHm9XklScXGxnE4n2VGaHYszk815RnZ0ZluWpYqKig6vp3CE4HQ6I3qykB2b2bE4M9mcZ2RHb3Z7uKQCAABsR+EAAAC2o3AAAADbUTgAAIDtKBwAAMB2FA4AAGA7CgcAALAdhQMAANiOwgEAAGxH4QAAALajcAAAANtROAAAgO0oHAAAwHYUDgAAYDu+nj4Ey7JkWVZE80L9Tnb0ZcfizGRHPjsWZyY78tnhZjmMMcamffna8fv98ng8KikpUXx8/JXeHQAArmqNjY2qqqqSz+eT2+1ucy2XVAAAgO24pBJCUVGRkpOTI5ZnWZa8Xq8kqbi4WE6nk+wozY7FmcnmPCM7OrMty1JFRUWH11M4QnA6nRE9WciOzexYnJlszjOyoze7PVxSAQAAtqNwAAAA21E4AACA7SgcAADAdhQOAABgOwoHAACwHYUDAADYjsIBAABsR+EAAAC2o3AAAADbUTgAAIDtKBwAAMB2FA4AAGA7vi02BMuyZFlWRPNC/U529GXH4sxkRz47FmcmO/LZ4WY5jDHGpn352vH5fOrevbt+/vOfy+VyXendAQDgqtbU1KTf/va3OnXqlDweT5trKRznOXLkiPr27XuldwMAgK+Vw4cP69prr21zDYXjPM3Nzfrkk0+UmJgoh8NxpXenFb/fr759++rw4cNyu91XenciJhbnjsWZJeaOpbljcWYp+uY2xuj06dNKS0tTp05tvy2U93Ccp1OnTu02tKuB2+2OihM1XLE4dyzOLDF3LInFmaXomru9Sykt+CsVAABgOwoHAACwHYXja8TlculXv/pVzP0FTSzOHYszS8wdS3PH4sxS7M4t8aZRAAAQAbzCAQAAbEfhAAAAtqNwAAAA21E4AACA7SgcNpg7d65uuukmJSYmKiUlRRMmTNDevXvbfMz27ds1atQo9ejRQwkJCRo8eLB++9vfXnD9c889J4fDoQkTJrTadvToUd13333q0aOHunTpomHDhmnnzp2B7cYYlZWVKS0tTQkJCcrJydEHH3xw0fNKV//MU6dOlcPhCPoZPnz4Rc/b4krO3a9fv1YzORwOFRYWBtbYcaylq39uO473lZz57NmzevTRR9W/f38lJCRowIABevzxx9Xc3BxYE43HuiNzR9uxPn36tB588EFlZGQoISFBI0eO1Ntvvx20xq5jbTuDy27s2LFm2bJl5v333zd1dXVm3LhxJj093TQ0NFzwMe+++65ZtWqVef/99019fb155plnTJcuXcySJUtarf3oo49Mnz59zK233mq+973vBW37y1/+YjIyMszUqVPNn/70J1NfX29effVVc+DAgcCaqqoqk5iYaJ5//nmze/duc++995rU1FTj9/ujduaCggJzxx13mGPHjgV+Pvvss4ue92qY+8SJE0HzvPLKK0aS+cMf/hBYY8ex/jrMbcfxvpIzl5eXmx49epgXX3zR1NfXmzVr1phu3bqZBQsWBNZE47HuyNzRdqwnT55svvnNb5rXX3/d7N+/3/zqV78ybrfbHDlyJLDGrmNtNwpHBJw4ccJIMq+//npYj7v77rvNfffdF3Tf2bNnzahRo8y//du/mYKCglYn6y9+8Qtzyy23XPA5m5ubTe/evU1VVVXgvsbGRuPxeMzvfve7sPavLVfTzMaYkI+zQyTn/muzZs0ymZmZprm52RgTuWNtzNU1tzGROd6RnHncuHFm+vTpQfdNnDgx8DzReqzbm9uY6DrWn3/+uYmLizMvvvhi0GOGDh1q5syZY4yJ7LG+3LikEgE+n0+SlJSU1OHHvPfee3rjjTc0evTooPsff/xx9ezZUzNmzAj5uBdeeEHZ2dmaNGmSUlJSlJWVpd///veB7fX19Tp+/LjGjBkTuM/lcmn06NF64403whmrTVfTzC1qa2uVkpKiQYMG6YEHHtCJEyfCmKhjIjn3+SzL0sqVKzV9+vTAFw9G6lhLV9fcLew+3pGc+ZZbbtHWrVu1b98+SdJ//dd/afv27brzzjslRe+xbm/uFtFyrM+ePauvvvpK8fHxQfcnJCRo+/btkiJ7rC+7K914ol1zc7MZP358u/8PvEWfPn2M0+k0nTp1Mo8//njQtu3bt5s+ffqY//3f/zXGhG72LpfLuFwuU1paat59913zu9/9zsTHx5sVK1YYY4zZsWOHkWSOHj0a9LgHHnjAjBkz5iKnDHa1zWyMMc8995x58cUXze7du80LL7xghg4dam644QbT2Nh4acOeJ9Jzn2/16tUmLi4u6LhG4lgbc/XNbYz9xzvSMzc3N5uSkhLjcDhM586djcPhMJWVlYHt0Xqs25vbmOg71iNGjDCjR482R48eNWfPnjXPPPOMcTgcZtCgQcaYyB1rO1A4bDZz5kyTkZFhDh8+3KH1Bw8eNLt27TJLly41SUlJZtWqVcYYY/x+v+nXr5/ZtGlTYG2ok/Waa64xI0aMCLqvqKjIDB8+3BjzfyfrJ598ErTm/vvvN2PHjg13vJCutplD+eSTT8w111xjnn/++Q5O1b5Iz32+MWPGmLvuuivovkgca2OuvrlDudzHO9Iz19TUmGuvvdbU1NSYXbt2merqapOUlGSWL19ujIneY93e3KF83Y/1gQMHzG233WYkmbi4OHPTTTeZH/3oR+b66683xkTuWNuBwmGjf/zHfzTXXnutOXjw4EU9/p//+Z8Drfa9994LnIAtPw6HwzgcDhMXFxd4g2R6erqZMWNG0PM89dRTJi0tzRhjzIcffmgkmXfffTdozd/+7d+aKVOmXNR+nu9qnPlCrrvuuqDroJfiSszd4qOPPjKdOnUy69evD7rf7mNtzNU594VcruN9JWa+9tprzaJFi1o9zze+8Q1jTPQe6/bmvpCv87Fu0dDQECgVkydPNnfeeacxJjLH2i6dI3sBJzYYY1RUVKR169aptrZW/fv3v+jnaWpqkiQNHjxYu3fvDtr+6KOP6vTp01q4cKH69u0rSRo1alSrP9/at2+fMjIyJEn9+/dX79699corrygrK0vSuevgr7/+uubNm3dR+9myr1frzKF89tlnOnz4sFJTUy9qP8/f3ys1d4tly5YpJSVF48aNC7rfrmPdsr9X69yhXI7jfSVn/vzzz9WpU/Bb7uLi4gJ/Hhqtx7q9uUP5uh/rFl27dlXXrl118uRJbd68Wb/+9a8l2XusbXclWk60++lPf2o8Ho+pra0N+lOtzz//PLCmpKTE/PjHPw7cXrRokXnhhRfMvn37zL59+8y///u/G7fbHXhnciihXo576623TOfOnU1FRYXZv3+/efbZZ02XLl3MypUrA2uqqqqMx+Mxa9euNbt37zY/+MEPLvlPqq7mmU+fPm2Ki4vNG2+8Yerr680f/vAHM2LECNOnT59L/jOyKzm3McZ89dVXJj093fziF78I+Tg7jrUxV/fcdh3vKzlzQUGB6dOnT+DPQ9euXWuSk5PNww8/HFgTjce6vbmj8Vj/53/+p3n55ZfNwYMHzZYtW8zQoUPN3/zN3xjLsgJr7DrWdqNw2EBSyJ9ly5YF1hQUFJjRo0cHbv/Lv/yLueGGG0yXLl2M2+02WVlZ5qmnnjJfffXVBXMu9B/jjRs3mhtvvNG4XC4zePBgs3Tp0qDtzc3N5le/+pXp3bu3cblc5rbbbjO7d++O2pk///xzM2bMGNOzZ09zzTXXmPT0dFNQUGAOHTp0STNfDXNv3rzZSDJ79+4N+Tg7jrUxV/fcdh3vKzmz3+83s2bNMunp6SY+Pt4MGDDAzJkzxzQ1NQXWROOxbm/uaDzWq1evNgMGDDBOp9P07t3bFBYWmlOnTgWtsetY242vpwcAALbjczgAAIDtKBwAAMB2FA4AAGA7CgcAALAdhQMAANiOwgEAAGxH4QAAALajcAAAANtROAAAiGLbtm3T+PHjlZaWJofDofXr14f9HMYYzZ8/X4MGDZLL5VLfvn1VWVkZ1nPw5W0AAESxM2fOaOjQoZo2bZruueeei3qOWbNmacuWLZo/f76GDBkin8+nTz/9NKzn4KPNAQCIEQ6HQ+vWrdOECRMC91mWpUcffVTPPvusTp06pRtvvFHz5s1TTk6OJGnPnj361re+pffff1/f+MY3LjqbSyoAAMSwadOmaceOHXruuee0a9cuTZo0SXfccYf2798vSdq4caMGDBigF198Uf3791e/fv10//336y9/+UtYORQOAABi1IcffqiamhqtWbNGt956qzIzM/XQQw/plltu0bJlyyRJBw8e1Mcff6w1a9aourpay5cv186dO/X9738/rCzewwEAQIx69913ZYzRoEGDgu5vampSjx49JEnNzc1qampSdXV1YN3TTz+t73znO9q7d2+HL7NQOAAAiFHNzc2Ki4vTzp07FRcXF7StW7dukqTU1FR17tw5qJRcf/31kqRDhw5ROAAAQNuysrL01Vdf6cSJE7r11ltDrhk1apTOnj2rDz/8UJmZmZKkffv2SZIyMjI6nMVfqQAAEMUaGhp04MABSecKxhNPPKHc3FwlJSUpPT1d9913n3bs2CGv16usrCx9+umneu211zRkyBDdeeedam5u1k033aRu3bppwYIFam5uVmFhodxut7Zs2dLh/aBwAAAQxWpra5Wbm9vq/oKCAi1fvlxffvmlysvLVV1draNHj6pHjx4aMWKEHnvsMQ0ZMkSS9Mknn6ioqEhbtmxR165dlZ+fL6/Xq6SkpA7vB4UDAADYjj+LBQAAtqNwAAAA21E4AACA7SgcAADAdhQOAABgOwoHAACwHYUDAADYjsIBAABsR+EAAAC2o3AAAADbUTgAAIDt/h+fxJinscS2eAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "modelgrid.set_coord_info(angrot=0)\n",
    "modelgrid.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d4cd2c4",
   "metadata": {},
   "source": [
    "Lets load a couple of shapefiles to help with creating the quadtree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "70fc1ed9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.260548Z",
     "iopub.status.busy": "2025-04-27T15:59:38.260467Z",
     "iopub.status.idle": "2025-04-27T15:59:38.311456Z",
     "shell.execute_reply": "2025-04-27T15:59:38.311176Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.260539Z"
    }
   },
   "outputs": [],
   "source": [
    "active_shp = data_path / \"active_area.shp\"\n",
    "refine_shp = data_path / \"refined_area.shp\"\n",
    "\n",
    "active = gpd.read_file(active_shp)\n",
    "refined = gpd.read_file(refine_shp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c85d598",
   "metadata": {},
   "source": [
    "Now let's plot these areas on the grid to visualize them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5ed44ddb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.312051Z",
     "iopub.status.busy": "2025-04-27T15:59:38.311890Z",
     "iopub.status.idle": "2025-04-27T15:59:38.363970Z",
     "shell.execute_reply": "2025-04-27T15:59:38.363727Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.312041Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "pmv = flopy.plot.PlotMapView(modelgrid=modelgrid)\n",
    "pmv.plot_grid()\n",
    "# active.geometry.to_list()\n",
    "pmv.plot_shapes(active.geometry.to_list(),  alpha=0.5, cmap='plasma')\n",
    "pmv.plot_shapes(refined.geometry.to_list(), alpha=0.5, cmap='magma');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c747c5bc",
   "metadata": {},
   "source": [
    "### Generate the quadtree grid using `Gridgen`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d5d43d7e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.364396Z",
     "iopub.status.busy": "2025-04-27T15:59:38.364312Z",
     "iopub.status.idle": "2025-04-27T15:59:38.586801Z",
     "shell.execute_reply": "2025-04-27T15:59:38.586344Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.364386Z"
    }
   },
   "outputs": [],
   "source": [
    "g = Gridgen(modelgrid, model_ws=data_path)\n",
    "g.add_refinement_features(refined.geometry.to_list(), \"polygon\", 1, [0,])\n",
    "g.build(verbose=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0998989",
   "metadata": {},
   "source": [
    "#### Create a vertex model grid from the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a3ed5439",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.587415Z",
     "iopub.status.busy": "2025-04-27T15:59:38.587318Z",
     "iopub.status.idle": "2025-04-27T15:59:38.719165Z",
     "shell.execute_reply": "2025-04-27T15:59:38.718854Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.587404Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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j2tpa1dTUKDk5Wf3791dxcbGOHz+uqqoqSeebjenTp+upp57S6NGjffdTxMbGyul0Sjp/8+bIkSOVmZkpj8ejrVu3qqqqSsuXL/fLbm5u1sqVK5Wfn6/u3f1LdzgcevDBB1VWVqbBgwdr8ODBKisrU1xcnH72s58FNceCggKlpKQE+5/msjU0NPjmOmfOHMXFxZHdRbMjcc5k8z4ju2tme71eVVRUtHt80A3HBx98oJycHN/j+fPnS5Ly8/O1atUqnThxQkeOHPEdf/bZZ3Xu3DkVFhb6bdLVMl46f8/E3LlzdezYMcXGxmro0KFavXq17r77br/sN954Q0eOHNGsWbMC1vbII4/om2++0dy5c3X69GmNGjVK27ZtU2JiYlBzjI+PV0JCQlDnXClxcXFkR0h2JM6ZbN5nZHedbI/HE9T4oBuO7OxsXey2j5YmosWOHTsu+ZqlpaUqLS295Ljx48dfNNvhcKikpEQlJSWXfC0AABA6/JYKAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwXNC/FhsJ3G63YmJiQpbX0NAQ8N9kd73sSJwz2aHPjsQ5kx36bK/XG9R4h7nY771HGJfLJafTqaKiopA2HAAA2FFjY6PKy8tVV1enpKSki45lSQUAAFiOJZUACgoKlJKSErK8hoYGLV++XJI0Z84cxcXFkd2Js8N1bqRm27XucGbbte6OIju02V6vVxUVFe0eT8MRQHx8vBISEsKSHRcXR7aNssN1bqRm27XucGbbte6OItt6Ho8nqPEsqQAAAMvRcAAAAMvRcAAAAMvRcAAAAMtx0ygiXrAb5XRkk52ObtATidl2rTuc2Z2lbqA1Gg5EvJavk9np3EjNtmvd4cwOZ91AayypAAAAy/EJByIeGzJ17my71h3O7M5SN9AaDQciHhsy2SfbrnWHMzucdQOtsaQCAAAsR8MBAAAsR8MBAAAsR8MBAAAsx02jAbjdbsXExIQsr6Ob9JAd2uyusCGTnbLtWnc4s+1ad0eRHdpsr9cb1HiHMcZYVIvtuFwuOZ1OFRUVhbThAADAjhobG1VeXq66ujolJSVddCxLKgAAwHIsqQRQUFCglJSUkOV1dJMeskOb3RU2ZLJTtl3rDme2XevuKLJDm+31elVRUdHu8TQcAcTHx4dto5twbrJDtn3OjdRsu9Ydzmy71t1RZFvP4/EENZ4lFQAAYDkaDgAAYDkaDgAAYDkaDgAAYDkaDgAAYDm+pYKIxw6QnTvbrnWHM7uz1A20RsOBiNfy/XU7nRup2XatO5zZ4awbaI0lFQAAYDk+4UDEYwfIzp1t17rDmd1Z6gZao+FAxGMHSPtk27XucGaHs26gNZZUAACA5Wg4AACA5Wg4AACA5Wg4AACA5YK+aXTXrl367W9/qz179ujEiRPasGGDJk+efMHx69ev1/Lly1VTU6OmpiZdf/31Kikp0YQJE/zGlJWV6dChQ/J6vRo8eLAeeugh3XvvvX6vdfz4cf3617/Wq6++qm+++UZDhgzRc889px/84AeSpBkzZqiystLvnFGjRumdd94Jao5ut1sxMTFBndMRHd2kh+zQZneFDZnslG3XusOZbde6O4rs0GZ7vd6gxjuMMSaYE1599VW99dZb+v73v68pU6ZcsuF48MEHlZ6erpycHPXs2VMrV67UkiVL9O677yorK0uStGPHDp0+fVpDhw5Vjx49tGXLFj300EN65ZVXfI3J6dOnlZWVpZycHM2ZM0epqan67LPPNGDAAGVmZko633D85S9/0cqVK335PXr0UHJycrvm5nK55HQ6VVRUFNKGAwAAO2psbFR5ebnq6uqUlJR00bFBf8KRl5envLy8do9ftmyZ3+OysjJt2rRJmzdv9jUc2dnZfmPmzZunyspK7d6929dwLF68WP369fNrJgYMGNAmLzo6Wn369Gl3fQAAwHoh34ejublZZ8+eveCnDsYYvfnmm9q/f78WL17se/7ll1/WhAkTNHXqVO3cuVN9+/bV3Llzdf/99/udv2PHDqWmpqpnz54aN26cfvOb3yg1NTVgVlNTk5qamnyPXS6XJKmgoEApKSkdnWq7dXSTHrJDm90VNmSyU7Zd6w5ntl3r7iiyQ5vt9XpVUVHR7vEhbziWLl0qt9utadOm+T1fV1envn37qqmpSVFRUXrmmWeUm5vrO3748GEtX75c8+fP16OPPqr33ntPv/zlLxUdHa3p06dLOv/py9SpU5WRkaHa2lr98z//s374wx9qz549io6OblPLokWLtHDhwjbPx8fHh22jm3BuskO2fc6N1Gy71h3ObLvW3VFkW8/j8QQ1PqQNR3V1tUpKSrRp06Y2nzokJiaqpqZG9fX12r59u+bPn69Bgwb5lluam5s1cuRIlZWVSZKysrL06aefavny5b6G4+677/a93g033KCRI0cqIyNDr7zyiu6666429RQXF2v+/Pm+xy6XS/369bvS0wYAIOKFrOFYu3atZs+erXXr1um2225rc7xbt2669tprJUkjRozQvn37tGjRIl/DkZaWpu9+97t+51x33XV66aWXLpiZlpamjIwMHTx4MODx6OjogJ98AACAKysk+3BUV1drxowZWrNmjSZOnNiuc4wxfvdXjB07Vvv37/cbc+DAAWVkZFzwNb7++msdPXpUaWlpl1c4AAC4IoL+hKO+vl6HDh3yPa6trVVNTY2Sk5PVv39/FRcX6/jx46qqqpJ0vtmYPn26nnrqKY0ePVonT56UJMXGxsrpdEo6fy/FyJEjlZmZKY/Ho61bt6qqqsrvFwd/9atf6aabblJZWZmmTZum9957TytWrNCKFSt8dZWUlGjKlClKS0vT559/rkcffVRXX3217rzzzsv/LwQAADos6Ibjgw8+UE5Oju9xyz0Q+fn5WrVqlU6cOKEjR474jj/77LM6d+6cCgsLVVhY6Hu+Zbx0fqOtuXPn6tixY4qNjdXQoUO1evVqv3sybrzxRm3YsEHFxcV64oknNHDgQC1btkw///nPJUlRUVHau3evqqqqdObMGaWlpSknJ0dr165VYmJisNNEBGFDps6dbde6w5ndWeoGWgt646+urGXjr7/+9a+6+uqrQ5ZbX1+vpUuXSpIeeuihkN7dTDYAq0Tq/6ZESrbH49Hjjz/e7o2/+C0VAABguZDvwwF0NmzI1Lmz7Vp3OLM7S91AazQciHhsyGSfbLvWHc7scNYNtMaSCgAAsBwNBwAAsBwNBwAAsBwNBwAAsBw3jQbgdrsVExMTsryObtJDdmizu8KGTHbKtmvd4cy2a90dRXZos71eb1Dj2firlZaNv4qKikLacAAAYEeNjY1s/AUAADoPllQCKCgoUEpKSsjyOrpJD9mhze4KGzLZKduudYcz2651dxTZoc32er2qqKho93gajgDi4+PDttFNODfZIds+50Zqtl3rDme2XevuKLKt5/F4ghrPkgoAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAc31JBxGMHyM6dbde6w5ndWeoGWqPhQMRr+f66nc6N1Gy71h3O7HDWDbTGkgoAALAcn3Ag4rEDZOfOtmvd4czuLHUDrdFwIOKxA6R9su1adzizw1k30BpLKgAAwHI0HAAAwHI0HAAAwHI0HAAAwHLcNBqA2+1WTExMyPI6ukkP2aHN7gobMtkp2651hzPbrnV3FNmhzfZ6vUGNdxhjjEW12I7L5ZLT6VRRUVFIGw4AAOyosbFR5eXlqqurU1JS0kXHsqQCAAAsx5JKAAUFBUpJSQlZXkc36SE7tNldYUMmO2Xbte5wZtu17o4iO7TZXq9XFRUV7R5PwxFAfHx82Da6CecmO2Tb59xIzbZr3eHMtmvdHUW29TweT1DjWVIBAACWo+EAAACWo+EAAACWo+EAAACW46ZRRDw2ZOrc2XatO5zZnaVuoDUaDkS8lq+T2encSM22a93hzA5n3UBrLKkAAADL8QkHIh4bMnXubLvWHc7szlI30BoNByIeGzLZJ9uudYczO5x1A62xpAIAACxHwwEAACxHwwEAACxHwwEAACzHTaMBuN1uxcTEhCyvo5v0kB3a7K6wIZOdsu1adziz7Vp3R5Ed2myv1xvUeIcxxlhUi+24XC45nU4VFRWFtOEAAMCOGhsbVV5errq6OiUlJV10LEsqAADAciypBFBQUKCUlJSQ5XV0kx6yQ5vdFTZkslO2XesOZ7Zd6+4oskOb7fV6VVFR0e7xNBwBxMfHh22jm3BuskO2fc6N1Gy71h3ObLvW3VFkW8/j8QQ1niUVAABgORoOAABguaAbjl27dmnSpElKT0+Xw+HQxo0bLzp+/fr1ys3NVa9evZSUlKQxY8botddeazNm5MiR6tmzp+Lj4zVixAg9//zzbV7r+PHjuueee5SSkqK4uDiNGDFCe/bs8R03xqikpETp6emKjY1Vdna2Pv3002CnCAAArrCgGw63263hw4fr6aefbtf4Xbt2KTc3V1u3btWePXuUk5OjSZMm6aOPPvKNSU5O1oIFC/TnP/9ZH3/8sWbOnKmZM2f6NSanT5/W2LFjddVVV+nVV1/V//zP/2jp0qXq2bOnb0xFRYWefPJJPf3003r//ffVp08f5ebm6uzZs8FOEwAAXEFB3zSal5envLy8do9ftmyZ3+OysjJt2rRJmzdvVlZWliQpOzvbb8y8efNUWVmp3bt3a8KECZKkxYsXq1+/flq5cqVv3IABA3z/NsZo2bJlWrBgge666y5JUmVlpXr37q01a9boF7/4RRCzBAAAV1LIv6XS3Nyss2fPKjk5OeBxY4zefPNN7d+/X4sXL/Y9//LLL2vChAmaOnWqdu7cqb59+2ru3Lm6//77JUm1tbU6efKkxo8f7zsnOjpa48aN09tvvx2w4WhqalJTU5PvscvlulLThI2wA2TnzrZr3eHM7ix1A62FvOFYunSp3G63pk2b5vd8XV2d+vbtq6amJkVFRemZZ55Rbm6u7/jhw4e1fPlyzZ8/X48++qjee+89/fKXv1R0dLSmT5+ukydPSpJ69+7t97q9e/fWF198EbCWRYsWaeHChVd4hrCblu+v2+ncSM22a93hzA5n3UBrIW04qqurVVJSok2bNik1NdXvWGJiompqalRfX6/t27dr/vz5GjRokG+5pbm5WSNHjlRZWZkkKSsrS59++qmWL1+u6dOn+17H4XD4va4xps1zLYqLizV//nzfY5fLpX79+l2JqQIAgFZC1nCsXbtWs2fP1rp163Tbbbe1Od6tWzdde+21kqQRI0Zo3759WrRoka/hSEtL03e/+12/c6677jq99NJLkqQ+ffpIkk6ePKm0tDTfmFOnTrX51KNFdHS0oqOjOzw32Bs7QHbubLvWHc7szlI30FpIGo7q6mrNmjVL1dXVmjhxYrvOMcb43V8xduxY7d+/32/MgQMHlJGRIUkaOHCg+vTpo9dff913M6rH49HOnTv97gUB/i92gLRPtl3rDmd2OOsGWgu64aivr9ehQ4d8j2tra1VTU6Pk5GT1799fxcXFOn78uKqqqiSdbzamT5+up556SqNHj/bdaxEbGyun0ynp/L0UI0eOVGZmpjwej7Zu3aqqqiq/LvlXv/qVbrrpJpWVlWnatGl67733tGLFCq1YsULS+aWUBx98UGVlZRo8eLAGDx6ssrIyxcXF6Wc/+9nl/xcCAAAdFnTD8cEHHygnJ8f3uOUeiPz8fK1atUonTpzQkSNHfMefffZZnTt3ToWFhSosLPQ93zJeOr+3x9y5c3Xs2DHFxsZq6NChWr16te6++27f+BtvvFEbNmxQcXGxnnjiCQ0cOFDLli3Tz3/+c9+YRx55RN98843mzp2r06dPa9SoUdq2bZsSExODnSYAALiCgm44srOzZYy54PGWJqLFjh07LvmapaWlKi0tveS4H/3oR/rRj350weMOh0MlJSUqKSm55GsBAIDQ4bdUAACA5fh5+gDcbrdiYmJCltfRTXrIDm12V9iQyU7Zdq07nNl2rbujyA5tttfrDWq8w1xsfSTCuFwuOZ1OFRUVhbThAADAjhobG1VeXq66ujolJSVddCxLKgAAwHIsqQRQUFCglJSUkOV1dJMeskOb3RU2ZLJTtl3rDme2XevuKLJDm+31elVRUdHu8TQcAcTHx4dto5twbrJDtn3OjdRsu9Ydzmy71t1RZFvP4/EENZ4lFQAAYDkaDgAAYDkaDgAAYDkaDgAAYDluGkXEY0Omzp1t17rDmd1Z6gZao+FAxGv9q8R2OTdSs+1adzizw1k30BpLKgAAwHJ8woGIx4ZMnTvbrnWHM7uz1A20RsOBiMeGTPbJtmvd4cwOZ91AayypAAAAy9FwAAAAy9FwAAAAy9FwAAAAy3HTaABut1sxMTEhy+voJj1khza7K2zIZKdsu9Ydzmy71t1RZIc22+v1BjXeYYwxFtViOy6XS06nU0VFRSFtOAAAsKPGxkaVl5errq5OSUlJFx3LkgoAALAcSyoBFBQUKCUlJWR5Hd2kh+zQZneFDZnslG3XusOZbde6O4rs0GZ7vV5VVFS0ezwNRwDx8fFh2+gmnJvskG2fcyM12651hzPbrnV3FNnW83g8QY1nSQUAAFiOhgMAAFiOhgMAAFiOhgMAAFiOhgMAAFiOb6kg4rEDZOfOtmvd4czuLHUDrdFwIOK1fH/dTudGarZd6w5ndjjrBlpjSQUAAFiOTzgQ8dgBsnNn27XucGZ3lrqB1mg4EPHYAdI+2XatO5zZ4awbaI0lFQAAYDkaDgAAYDkaDgAAYDkaDgAAYDluGg3A7XYrJiYmZHkd3aSH7NBmd4UNmeyUbde6w5lt17o7iuzQZnu93qDGO4wxxqJabMflcsnpdKqoqCikDQcAAHbU2Nio8vJy1dXVKSkp6aJjWVIBAACWY0klgIKCAqWkpIQsr6Ob9JAd2uyusCGTnbLtWnc4s+1ad0eRHdpsr9erioqKdo+n4QggPj4+bBvdhHOTHbLtc26kZtu17nBm27XujiLbeh6PJ6jxLKkAAADL0XAAAADL0XAAAADL0XAAAADLcdMoIh4bMnXubLvWHc7szlI30BoNByJey9fJ7HRupGbbte5wZoezbqA1llQAAIDlgv6EY9euXfrtb3+rPXv26MSJE9qwYYMmT558wfHr16/X8uXLVVNTo6amJl1//fUqKSnRhAkT/MaUlZXp0KFD8nq9Gjx4sB566CHde++9vjElJSVauHCh32v37t1bJ0+e9D2eMWOGKisr/caMGjVK77zzTrDTRARhQ6bOnW3XusOZ3VnqBloLuuFwu90aPny4Zs6cqSlTplxy/K5du5Sbm6uysjL17NlTK1eu1KRJk/Tuu+8qKytLkpScnKwFCxZo6NCh6tGjh7Zs2aKZM2cqNTXVrzG5/vrr9cYbb/geR0VFtcm7/fbbtXLlSt/jHj16BDtFRBg2ZLJPtl3rDmd2OOsGWgu64cjLy1NeXl67xy9btszvcVlZmTZt2qTNmzf7Go7s7Gy/MfPmzVNlZaV2797t13B0795dffr0uWhedHT0JccAAIDQCvk9HM3NzTp79qySk5MDHjfGaPv27dq/f79uvfVWv2MHDx5Uenq6Bg4cqH/4h3/Q4cOH25y/Y8cOpaamasiQIbr//vt16tSpC9bS1NQkl8vl9wcAAK68kDccS5culdvt1rRp0/yer6urU0JCgnr06KGJEyfq97//vXJzc33HR40apaqqKr322mv64x//qJMnT+qmm27S119/7RuTl5enF154QW+++aaWLl2q999/Xz/84Q/V1NQUsJZFixbJ6XT6/vr162fNpAEAiHAh/VpsdXW1SkpKtGnTJqWmpvodS0xMVE1Njerr67V9+3bNnz9fgwYN8i23tF7GGTZsmMaMGaPMzExVVlZq/vz5kqS7777bN+aGG27QyJEjlZGRoVdeeUV33XVXm3qKi4t950qSy+Wi6QAAwAIhazjWrl2r2bNna926dbrtttvaHO/WrZuuvfZaSdKIESO0b98+LVq0qM39HS3i4+M1bNgwHTx48IKZaWlpysjIuOCY6OhoRUdHt3ne7XYrJiamHbO6Mjq6SQ/Zoc3uChsy2SnbrnWHM9uudXcU2aHN9nq9QY13GGPM5YY5HI5Lfi1WOv/JxqxZs1RdXX3JsS1mz56tzz77TDt27Ah4vKmpSZmZmfrHf/xH/b//9/8Cjvn666/Vt29frVixQtOnT79kpsvlktPpVFFRUUgbDgAA7KixsVHl5eWqq6tTUlLSRccG/QlHfX29Dh065HtcW1urmpoaJScnq3///iouLtbx48dVVVUl6XyzMX36dD311FMaPXq0b9+M2NhYOZ1OSefvpRg5cqQyMzPl8Xi0detWVVVV+X2X++GHH9akSZPUv39/nTp1SqWlpXK5XMrPz/fVVVJSoilTpigtLU2ff/65Hn30UV199dW68847g50mAAC4goJuOD744APl5OT4HrfcA5Gfn69Vq1bpxIkTOnLkiO/4s88+q3PnzqmwsFCFhYW+51vGS+eXMObOnatjx44pNjZWQ4cO1erVq/3uyTh27Jh++tOf6quvvlKvXr00evRovfPOO8rIyJB0fk+OvXv3qqqqSmfOnFFaWppycnK0du1aJSYmBjXHgoICpaSkBPuf5rJ1dJMeskOb3RU2ZLJTtl3rDme2XevuKLJDm+31elVRUdHu8UE3HNnZ2brYKkxLE9HiQksirZWWlqq0tPSiY1588cWLHo+NjdVrr712yaz2iI+PD9tGN+HcZIds+5wbqdl2rTuc2Xatu6PItp7H4wlqPL+lAgAALEfDAQAALEfDAQAALEfDAQAALBfSnUaBzogNmTp3tl3rDmd2Z6kbaI2GAxGv9X4vdjk3UrPtWnc4s8NZN9AaSyoAAMByfMKBiMeGTJ072651hzO7s9QNtEbDgYjHhkz2ybZr3eHMDmfdQGssqQAAAMvRcAAAAMvRcAAAAMvRcAAAAMvRcAAAAMvxLZUA3G63YmJiQpbX0V0ByQ5tdlfYAdJO2XatO5zZdq27o8gObbbX6w1qvMMYYyyqxXZcLpecTqeKiopC2nAAAGBHjY2NKi8vV11dnZKSki46liUVAABgOZZUAigoKFBKSkrI8jq6KyDZ9smOxDmTzfuM7K6Z7fV6VVFR0e7xNBwBxMfHh21nvXDu6kd2ZOSSHVnZkThnskOT7fF4ghrPkgoAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcDQcAALAcvxYbgNvtVkxMTMjyGhoaAv6b7K6XHYlzJjv02ZE4Z7JDn+31eoMa7zDGGItqsR2XyyWn06mioqKQNhwAANhRY2OjysvLVVdXp6SkpIuOZUkFAABYjiWVAAoKCpSSkhKyvIaGBi1fvlySNGfOHMXFxZHdRbMjcc5k8z4ju2tme71eVVRUtHs8DUcA8fHxSkhICEt2XFwc2RGSHYlzJpv3GdldJ9vj8QQ1niUVAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABguaB/nn7Xrl367W9/qz179ujEiRPasGGDJk+efMHx69ev1/Lly1VTU6OmpiZdf/31Kikp0YQJE/zGlJWV6dChQ/J6vRo8eLAeeugh3Xvvvb4xJSUlWrhwod9r9+7dWydPnvQ9NsZo4cKFWrFihU6fPq1Ro0bp3/7t33T99dcHNUe3262YmJigzumIhoaGgP8mu+tlR+KcyQ59diTOmezQZ3u93qDGO4wxJpgTXn31Vb311lv6/ve/rylTplyy4XjwwQeVnp6unJwc9ezZUytXrtSSJUv07rvvKisrS5K0Y8cOnT59WkOHDlWPHj20ZcsWPfTQQ3rllVd8jUlJSYn+8z//U2+88YbvtaOiotSrVy/f48WLF+s3v/mNVq1apSFDhqi0tFS7du3S/v37lZiYeMm5uVwuOZ1OFRUVhbThAADAjhobG1VeXq66ujolJSVddGzQn3Dk5eUpLy+v3eOXLVvm97isrEybNm3S5s2bfQ1Hdna235h58+apsrJSu3fv9vskpHv37urTp0/AHGOMli1bpgULFuiuu+6SJFVWVqp3795as2aNfvGLX7S7ZgAAcGUF3XB0VHNzs86ePavk5OSAx40xevPNN7V//34tXrzY79jBgweVnp6u6OhojRo1SmVlZRo0aJAkqba2VidPntT48eN946OjozVu3Di9/fbbARuOpqYmNTU1+R67XC5JUkFBgVJSUjo81/ZqaGjQ8uXLJUlz5sxRXFwc2V00OxLnTDbvM7K7ZrbX61VFRUW7x4e84Vi6dKncbremTZvm93xdXZ369u2rpqYmRUVF6ZlnnlFubq7v+KhRo1RVVaUhQ4boL3/5i0pLS3XTTTfp008/VUpKiu9ejt69e/u9bu/evfXFF18ErGXRokVt7guRpPj4eCUkJHR0qpclLi6O7AjJjsQ5k837jOyuk+3xeIIaH9KGo7q6WiUlJdq0aZNSU1P9jiUmJqqmpkb19fXavn275s+fr0GDBvmWW1ov4wwbNkxjxoxRZmamKisrNX/+fN8xh8Ph97rGmDbPtSguLvY71+VyqV+/fh2dJgAA+D9C1nCsXbtWs2fP1rp163Tbbbe1Od6tWzdde+21kqQRI0Zo3759WrRoUZv7O1rEx8dr2LBhOnjwoCT57u04efKk0tLSfONOnTrV5lOPFtHR0YqOju7ItAAAQDuEZB+O6upqzZgxQ2vWrNHEiRPbdY4xxu/+iv+rqalJ+/bt8zUXAwcOVJ8+ffT666/7xng8Hu3cuVM33XRTxyYAAAA6JOhPOOrr63Xo0CHf49raWtXU1Cg5OVn9+/dXcXGxjh8/rqqqKknnm43p06frqaee0ujRo333WsTGxsrpdEo6fy/FyJEjlZmZKY/Ho61bt6qqqsp3E4wkPfzww5o0aZL69++vU6dOqbS0VC6XS/n5+ZLOL6U8+OCDKisr0+DBgzV48GCVlZUpLi5OP/vZzy7/vxAAAOiwoBuODz74QDk5Ob7HLfdA5Ofna9WqVTpx4oSOHDniO/7ss8/q3LlzKiwsVGFhoe/5lvHS+Y225s6dq2PHjik2NlZDhw7V6tWrdffdd/vGHzt2TD/96U/11VdfqVevXho9erTeeecdZWRk+MY88sgj+uabbzR37lzfxl/btm1r1x4cAADAOkE3HNnZ2brYXmEtTUSLHTt2XPI1S0tLVVpaetExL7744iVfx+FwqKSkRCUlJZccCwAAQoffUgEAAJaj4QAAAJaj4QAAAJaj4QAAAJaj4QAAAJaj4QAAAJaj4QAAAJYL+a/F2oHb7VZMTEzI8hoaGgL+m+yulx2JcyY79NmROGeyQ5/t9XqDGu8wF9vFK8K4XC45nU4VFRWFtOEAAMCOGhsbVV5errq6OiUlJV10LEsqAADAciypBFBQUKCUlJSQ5TU0NPh+qG7OnDmKi4sju4tmR+KcyeZ9RnbXzPZ6vaqoqGj3eBqOAOLj45WQkBCW7Li4OLIjJDsS50w27zOyu062x+MJajxLKgAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHI0HAAAwHL8PH0AbrdbMTExIctraGgI+G+yu152JM6Z7NBnR+KcyQ59ttfrDWq8wxhjLKrFdlwul5xOp4qKikLacAAAYEeNjY0qLy9XXV2dkpKSLjqWJRUAAGA5llQCKCgoUEpKSsjyGhoatHz5cknSnDlzFBcXR3YXzY7EOZPN+4zsrpnt9XpVUVHR7vE0HAHEx8crISEhLNlxcXFkR0h2JM6ZbN5nZHedbI/HE9R4llQAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDlaDgAAIDl+LXYADweT9C/gtcRXq/X799kd93sSJwz2aHPjsQ5kx367GBzHMYYY1EttlNXV6eePXvqV7/6laKjo8NdDgAAnVpTU5N+97vf6cyZM3I6nRcdS8PRyrFjx9SvX79wlwEAgK0cPXpU11xzzUXH0HC00tzcrC+//FKJiYlyOBzhLqcNl8ulfv366ejRo0pKSgp3OSETifOOxDlLzDuS5h2Jc5a63ryNMTp79qzS09PVrdvFbwvlHo5WunXrdskOrTNISkrqEm/UYEXivCNxzhLzjiSROGepa837UkspLfiWCgAAsBwNBwAAsBwNh41ER0fr8ccfj7hv0ETivCNxzhLzjqR5R+Kcpcidt8RNowAAIAT4hAMAAFiOhgMAAFiOhgMAAFiOhgMAAFiOhsMCixYt0o033qjExESlpqZq8uTJ2r9//0XP2b17t8aOHauUlBTFxsZq6NCh+t3vfnfB8S+++KIcDocmT57c5tjx48d1zz33KCUlRXFxcRoxYoT27NnjO26MUUlJidLT0xUbG6vs7Gx9+umnlz1fqfPPecaMGXI4HH5/o0ePvuz5tgjnvAcMGNBmTg6HQ4WFhb4xVlxrqfPP24rrHc45nzt3To899pgGDhyo2NhYDRo0SE888YSam5t9Y7ritW7PvLvatT579qwefPBBZWRkKDY2VjfddJPef/99vzFWXWvLGVxxEyZMMCtXrjSffPKJqampMRMnTjT9+/c39fX1Fzznww8/NGvWrDGffPKJqa2tNc8//7yJi4szzz77bJuxn3/+uenbt6+55ZZbzI9//GO/Y3/7299MRkaGmTFjhnn33XdNbW2teeONN8yhQ4d8Y8rLy01iYqJ56aWXzN69e83dd99t0tLSjMvl6rJzzs/PN7fffrs5ceKE7+/rr7++7Pl2hnmfOnXKbz6vv/66kWT+9Kc/+cZYca3tMG8rrnc451xaWmpSUlLMli1bTG1trVm3bp1JSEgwy5Yt843pite6PfPuatd62rRp5rvf/a7ZuXOnOXjwoHn88cdNUlKSOXbsmG+MVdfaajQcIXDq1CkjyezcuTOo8+68805zzz33+D137tw5M3bsWPPv//7vJj8/v82b9de//rW5+eabL/iazc3Npk+fPqa8vNz3XGNjo3E6neYPf/hDUPVdTGeaszEm4HlWCOW8/6958+aZzMxM09zcbIwJ3bU2pnPN25jQXO9QznnixIlm1qxZfs/dddddvtfpqtf6UvM2pmtd64aGBhMVFWW2bNnid87w4cPNggULjDGhvdZXGksqIVBXVydJSk5Obvc5H330kd5++22NGzfO7/knnnhCvXr10uzZswOe9/LLL2vkyJGaOnWqUlNTlZWVpT/+8Y++47W1tTp58qTGjx/vey46Olrjxo3T22+/Hcy0LqozzbnFjh07lJqaqiFDhuj+++/XqVOngphR+4Ry3q15PB6tXr1as2bN8v3wYKiutdS55t3C6usdyjnffPPN2r59uw4cOCBJ+u///m/t3r1bd9xxh6Sue60vNe8WXeVanzt3Tt9++61iYmL8no+NjdXu3bslhfZaX3Hh7ni6uubmZjNp0qRL/n/gLfr27Wt69OhhunXrZp544gm/Y7t37zZ9+/Y1f/3rX40xgTv76OhoEx0dbYqLi82HH35o/vCHP5iYmBhTWVlpjDHmrbfeMpLM8ePH/c67//77zfjx4y9zlv4625yNMebFF180W7ZsMXv37jUvv/yyGT58uLn++utNY2NjxybbSqjn3dratWtNVFSU33UNxbU2pvPN2xjrr3eo59zc3GyKioqMw+Ew3bt3Nw6Hw5SVlfmOd9Vrfal5G9P1rvWYMWPMuHHjzPHjx825c+fM888/bxwOhxkyZIgxJnTX2go0HBabO3euycjIMEePHm3X+MOHD5uPP/7YrFixwiQnJ5s1a9YYY4xxuVxmwIABZuvWrb6xgd6sV111lRkzZozfcw888IAZPXq0Meb/f7N++eWXfmPuu+8+M2HChGCnF1Bnm3MgX375pbnqqqvMSy+91M5ZXVqo593a+PHjzY9+9CO/50JxrY3pfPMO5Epf71DPubq62lxzzTWmurrafPzxx6aqqsokJyebVatWGWO67rW+1LwDsfu1PnTokLn11luNJBMVFWVuvPFG8/Of/9xcd911xpjQXWsr0HBY6J/+6Z/MNddcYw4fPnxZ5//Lv/yLr6v96KOPfG/Alj+Hw2EcDoeJiory3SDZv39/M3v2bL/XeeaZZ0x6eroxxpjPPvvMSDIffvih35i///u/N9OnT7+sOlvrjHO+kGuvvdZvHbQjwjHvFp9//rnp1q2b2bhxo9/zVl9rYzrnvC/kSl3vcMz5mmuuMU8//XSb1/nOd75jjOm61/pS874QO1/rFvX19b6mYtq0aeaOO+4wxoTmWlule2gXcCKDMUYPPPCANmzYoB07dmjgwIGX/TpNTU2SpKFDh2rv3r1+xx977DGdPXtWTz31lPr16ydJGjt2bJuvbx04cEAZGRmSpIEDB6pPnz56/fXXlZWVJen8OvjOnTu1ePHiy6qzpdbOOudAvv76ax09elRpaWmXVWfresM17xYrV65UamqqJk6c6Pe8Vde6pd7OOu9ArsT1DuecGxoa1K2b/y13UVFRvq+HdtVrfal5B2L3a90iPj5e8fHxOn36tF577TVVVFRIsvZaWy4cXU5XN2fOHON0Os2OHTv8vqrV0NDgG1NUVGTuvfde3+Onn37avPzyy+bAgQPmwIED5j/+4z9MUlKS787kQAJ9HPfee++Z7t27m9/85jfm4MGD5oUXXjBxcXFm9erVvjHl5eXG6XSa9evXm71795qf/vSnHf5KVWee89mzZ81DDz1k3n77bVNbW2v+9Kc/mTFjxpi+fft2+Gtk4Zy3McZ8++23pn///ubXv/51wPOsuNbGdO55W3W9wznn/Px807dvX9/XQ9evX2+uvvpq88gjj/jGdMVrfal5d8Vr/V//9V/m1VdfNYcPHzbbtm0zw4cPN3/3d39nPB6Pb4xV19pqNBwWkBTwb+XKlb4x+fn5Zty4cb7H//qv/2quv/56ExcXZ5KSkkxWVpZ55plnzLfffnvBnAv9j/HmzZvNDTfcYKKjo83QoUPNihUr/I43Nzebxx9/3PTp08dER0ebW2+91ezdu7fLzrmhocGMHz/e9OrVy1x11VWmf//+Jj8/3xw5cqRDc+4M837ttdeMJLN///6A51lxrY3p3PO26nqHc84ul8vMmzfP9O/f38TExJhBgwaZBQsWmKamJt+YrnitLzXvrnit165dawYNGmR69Ohh+vTpYwoLC82ZM2f8xlh1ra3Gz9MDAADLsQ8HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAACwHA0HAABd2K5duzRp0iSlp6fL4XBo48aNQb+GMUZLlizRkCFDFB0drX79+qmsrCyo1+DH2wAA6MLcbreGDx+umTNnasqUKZf1GvPmzdO2bdu0ZMkSDRs2THV1dfrqq6+Ceg22NgcAIEI4HA5t2LBBkydP9j3n8Xj02GOP6YUXXtCZM2d0ww03aPHixcrOzpYk7du3T9/73vf0ySef6Dvf+c5lZ7OkAgBABJs5c6beeustvfjii/r44481depU3X777Tp48KAkafPmzRo0aJC2bNmigQMHasCAAbrvvvv0t7/9LagcGg4AACLUZ599purqaq1bt0633HKLMjMz9fDDD+vmm2/WypUrJUmHDx/WF198oXXr1qmqqkqrVq3Snj179JOf/CSoLO7hAAAgQn344YcyxmjIkCF+zzc1NSklJUWS1NzcrKamJlVVVfnGPffcc/rBD36g/fv3t3uZhYYDAIAI1dzcrKioKO3Zs0dRUVF+xxISEiRJaWlp6t69u19Tct1110mSjhw5QsMBAAAuLisrS99++61OnTqlW265JeCYsWPH6ty5c/rss8+UmZkpSTpw4IAkKSMjo91ZfEsFAIAurL6+XocOHZJ0vsF48sknlZOTo+TkZPXv31/33HOP3nrrLS1dulRZWVn66quv9Oabb2rYsGG644471NzcrBtvvFEJCQlatmyZmpubVVhYqKSkJG3btq3dddBwAADQhe3YsUM5OTltns/Pz9eqVavk9XpVWlqqqqoqHT9+XCkpKRozZowWLlyoYcOGSZK+/PJLPfDAA9q2bZvi4+OVl5enpUuXKjk5ud110HAAAADL8bVYAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABgORoOAABguf8P/5WY49vR6NAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gridprops = g.get_gridprops_vertexgrid()\n",
    "vertexgrid = flopy.discretization.VertexGrid(**gridprops)\n",
    "vertexgrid.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a7cce38",
   "metadata": {},
   "source": [
    "### Getting the modelgrid's shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7a02615f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.719727Z",
     "iopub.status.busy": "2025-04-27T15:59:38.719641Z",
     "iopub.status.idle": "2025-04-27T15:59:38.722012Z",
     "shell.execute_reply": "2025-04-27T15:59:38.721768Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.719718Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 510)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shape = vertexgrid.shape\n",
    "shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49458e73",
   "metadata": {},
   "source": [
    "## Class Exercise 2: \n",
    "\n",
    "Find and plot all of the nearest neighbors at node 79 on the vertex modelgrid.\n",
    "\n",
    "**Hint**: Use `flopy.plot.PlotMapView` for your plotting, and plot a boolean (1, 0) array with the cells that are not neighbors masked out.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fad34d11",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.722451Z",
     "iopub.status.busy": "2025-04-27T15:59:38.722378Z",
     "iopub.status.idle": "2025-04-27T15:59:38.800242Z",
     "shell.execute_reply": "2025-04-27T15:59:38.799975Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.722443Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "neighbors = vertexgrid.neighbors(80)\n",
    "arr = np.zeros((vertexgrid.shape[-1]), dtype=int)\n",
    "arr[neighbors] = 1\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "pmv = flopy.plot.PlotMapView(ax=ax, modelgrid=vertexgrid)\n",
    "pmv.plot_grid(zorder=3)\n",
    "pmv.plot_array(arr, masked_values=[0,]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0426f4ab",
   "metadata": {},
   "source": [
    "## UnstructuredGrid\n",
    "\n",
    "The `UnstructuredGrid` class is used with MODFLOW-USG and MODFLOW-6 DISU type discretizations. We can also create an `UnstructuredGrid` object from the `Gridgen` results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b6571b07",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.800864Z",
     "iopub.status.busy": "2025-04-27T15:59:38.800773Z",
     "iopub.status.idle": "2025-04-27T15:59:38.868993Z",
     "shell.execute_reply": "2025-04-27T15:59:38.868725Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.800855Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(xll:0.0; yll:0.0; rotation:0.0; units:undefined; lenuni:0,\n",
       " flopy.discretization.unstructuredgrid.UnstructuredGrid)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gridprops = g.get_gridprops_unstructuredgrid()\n",
    "\n",
    "ugrid = flopy.discretization.UnstructuredGrid(**gridprops)\n",
    "ugrid, type(ugrid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "afe46f93",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.869509Z",
     "iopub.status.busy": "2025-04-27T15:59:38.869425Z",
     "iopub.status.idle": "2025-04-27T15:59:38.933796Z",
     "shell.execute_reply": "2025-04-27T15:59:38.933515Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.869500Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ugrid.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5575ecf9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:38.937743Z",
     "iopub.status.busy": "2025-04-27T15:59:38.937596Z",
     "iopub.status.idle": "2025-04-27T15:59:39.012759Z",
     "shell.execute_reply": "2025-04-27T15:59:39.012462Z",
     "shell.execute_reply.started": "2025-04-27T15:59:38.937731Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "neighbors = ugrid.neighbors(79)\n",
    "arr = np.zeros(ugrid.shape, dtype=int)\n",
    "arr[neighbors] = 1\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "pmv = flopy.plot.PlotMapView(ax=ax, modelgrid=ugrid)\n",
    "pmv.plot_grid()\n",
    "pmv.plot_array(arr, masked_values=[0,]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32fb78b6",
   "metadata": {},
   "source": [
    "## Intersecting geospatial data\n",
    "\n",
    "In this part of the lesson we will intersect geospatial data with a modelgrid and begin building a simple adaptation of the Sagehen Creek model, near Truckee, CA. While building this model, we'll work with shapefile and raster data. As we build the model FloPy's intersection capabilities will be presented.\n",
    "\n",
    "Let's start by getting the basin boundary. For the Sagehen Creek model, we're interested in the contributing area for [USGS gage 10343500](https://waterdata.usgs.gov/ca/nwis/uv/?site_no=10343500&PARAmeter_cd=00065,00060) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "014f4da6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.013336Z",
     "iopub.status.busy": "2025-04-27T15:59:39.013253Z",
     "iopub.status.idle": "2025-04-27T15:59:39.027809Z",
     "shell.execute_reply": "2025-04-27T15:59:39.027454Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.013328Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>identifier</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10343500</th>\n",
       "      <td>POLYGON ((-120.25104 39.40471, -120.25613 39.4...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     geometry\n",
       "identifier                                                   \n",
       "10343500    POLYGON ((-120.25104 39.40471, -120.25613 39.4..."
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "station_id = \"10343500\"\n",
    "basin = gpd.read_file(data_path / \"sagehen_basin.shp\")\n",
    "basin = basin.set_index(\"identifier\")\n",
    "basin"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "428b1d96",
   "metadata": {},
   "source": [
    "First thing that we notice is that the basin polygon is projected in decimal degrees, which is not good for modeling. An equal area projection would be better suited for this application"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f0c0b47b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.028451Z",
     "iopub.status.busy": "2025-04-27T15:59:39.028322Z",
     "iopub.status.idle": "2025-04-27T15:59:39.053340Z",
     "shell.execute_reply": "2025-04-27T15:59:39.053074Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.028440Z"
    }
   },
   "outputs": [
    {
     "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>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>identifier</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10343500</th>\n",
       "      <td>POLYGON ((220068.76 4366733.474, 219647.52 436...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     geometry\n",
       "identifier                                                   \n",
       "10343500    POLYGON ((220068.76 4366733.474, 219647.52 436..."
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "epsg = 26911  # NAD83 utm zone 11 N, epsg: 26911\n",
    "basin = basin.to_crs(epsg=epsg)\n",
    "basin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1a4b2134",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.053830Z",
     "iopub.status.busy": "2025-04-27T15:59:39.053740Z",
     "iopub.status.idle": "2025-04-27T15:59:39.100654Z",
     "shell.execute_reply": "2025-04-27T15:59:39.100405Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.053822Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basin.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30620402",
   "metadata": {},
   "source": [
    "We can now get our basin's bounding box using `.bounds`, buffer it, and then begin creating a modelgrid based on the basin boundary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "26693e3c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.101174Z",
     "iopub.status.busy": "2025-04-27T15:59:39.101081Z",
     "iopub.status.idle": "2025-04-27T15:59:39.104547Z",
     "shell.execute_reply": "2025-04-27T15:59:39.104325Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.101166Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     minx          miny           maxx          maxy\n",
      "identifier                                                          \n",
      "10343500    214358.622076  4.366733e+06  221497.557955  4.373287e+06\n"
     ]
    }
   ],
   "source": [
    "cellsize = 90  # 90 m grid\n",
    "bounds = basin.bounds\n",
    "print(bounds)\n",
    "xmin = bounds.loc[station_id, \"minx\"] - (cellsize * 1)\n",
    "ymin = bounds.loc[station_id, \"miny\"] - (cellsize * 1)\n",
    "xmax = bounds.loc[station_id, \"maxx\"] + (cellsize * 1)\n",
    "ymax = bounds.loc[station_id, \"maxy\"] + (cellsize * 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88e9ff72",
   "metadata": {},
   "source": [
    "Calculate the number of rows and columns the model will have and then create a delc and delr array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e7de4cad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.105038Z",
     "iopub.status.busy": "2025-04-27T15:59:39.104922Z",
     "iopub.status.idle": "2025-04-27T15:59:39.108714Z",
     "shell.execute_reply": "2025-04-27T15:59:39.108418Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.105024Z"
    }
   },
   "outputs": [],
   "source": [
    "dx = xmax - xmin\n",
    "dy = ymax - ymin\n",
    "\n",
    "nlay = 1\n",
    "nrow = np.ceil(dy / cellsize).astype(int)\n",
    "ncol = np.ceil(dx / cellsize).astype(int)\n",
    "delr = np.full((ncol,), cellsize)\n",
    "delc = np.full((nrow,), cellsize)\n",
    "\n",
    "# let's create a fake top and bottom for now\n",
    "top = np.full((nrow, ncol), 100)\n",
    "botm = np.full((nlay, nrow, ncol), 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dd72559",
   "metadata": {},
   "source": [
    "Now we can create a minimal modelgrid from the information we have"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c796e3f3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.109403Z",
     "iopub.status.busy": "2025-04-27T15:59:39.109252Z",
     "iopub.status.idle": "2025-04-27T15:59:39.112806Z",
     "shell.execute_reply": "2025-04-27T15:59:39.112494Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.109391Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xll:214268.62207605218; yll:4366643.474127463; rotation:0.0; crs:EPSG:26911; units:undefined; lenuni:0\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "modelgrid = flopy.discretization.StructuredGrid(\n",
    "    delc,\n",
    "    delr,\n",
    "    top=top,\n",
    "    botm=botm,\n",
    "    nlay=nlay,\n",
    "    xoff=xmin,\n",
    "    yoff=ymin,\n",
    "    crs=epsg\n",
    ")\n",
    "print(modelgrid)\n",
    "print(modelgrid.is_complete)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f98ef0fd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.113639Z",
     "iopub.status.busy": "2025-04-27T15:59:39.113541Z",
     "iopub.status.idle": "2025-04-27T15:59:39.178652Z",
     "shell.execute_reply": "2025-04-27T15:59:39.178264Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.113630Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "ax = basin.plot(ax=ax)\n",
    "modelgrid.plot(ax=ax, lw=0.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a96c0b8",
   "metadata": {},
   "source": [
    "Fantastic! The modelgrid has been created and it completely overlays the contributing area."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12e0691f",
   "metadata": {},
   "source": [
    "### Intersecting a polygon with the modelgrid\n",
    "\n",
    "FloPy has a utility named `GridIntersect` that allows the user to intersect points, polygons, and polylines with modelgrid objects. \n",
    "\n",
    "In this example, the basin boundary will be intersected with the modelgrid to create the active and inactive extents of the model. The `.intersect()` method returns a numpy recarry with cellids, vertices, cell areas, and shapely polygon objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a8c64285",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.179373Z",
     "iopub.status.busy": "2025-04-27T15:59:39.179279Z",
     "iopub.status.idle": "2025-04-27T15:59:39.865462Z",
     "shell.execute_reply": "2025-04-27T15:59:39.865177Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.179364Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mnfienen/miniforge3/envs/pyclass/lib/python3.11/site-packages/flopy/utils/gridintersect.py:123: DeprecationWarning: Note `method=\"structured\"` is deprecated. Pass `method=\"vertex\"` to silence this warning. This will be the new default in a future release and this keyword argument will be removed.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([(1, 52), (1, 53), (1, 54), ..., (73, 64), (73, 65), (73, 66)],\n",
       "      shape=(3587,), dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gx = GridIntersect(modelgrid)\n",
    "\n",
    "result = gx.intersect(basin.loc[station_id, \"geometry\"])\n",
    "result.cellids"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "178b1022",
   "metadata": {},
   "source": [
    "create the ibound/idomain array (active and inactive model cells)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b9a4efb3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.866001Z",
     "iopub.status.busy": "2025-04-27T15:59:39.865801Z",
     "iopub.status.idle": "2025-04-27T15:59:39.935345Z",
     "shell.execute_reply": "2025-04-27T15:59:39.935064Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.865992Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x165463290>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ibound = np.zeros((nlay, nrow, ncol))\n",
    "i, j = zip(*result.cellids)\n",
    "ibound[:, i, j] = 1\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "pmv = flopy.plot.PlotMapView(modelgrid=modelgrid, ax=ax)\n",
    "pmv.plot_grid(lw=0.5)\n",
    "pmv.plot_array(ibound, masked_values=[0], cmap=\"viridis\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71cde52d",
   "metadata": {},
   "source": [
    "### Intersecting raster data with a modelgrid\n",
    "\n",
    "FloPy's `Raster` class allows us to intersect and resample raster data to the model grid. This class is useful for resampling a number of gridded products such as: Digital Elevation Model data, land cover data, and gridded climate data.\n",
    "\n",
    "The first example of using the `Raster` class will be to resample Digital Elevation Model (DEM) data to define the land surface of the Sagehen model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9be5182b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:39.935761Z",
     "iopub.status.busy": "2025-04-27T15:59:39.935677Z",
     "iopub.status.idle": "2025-04-27T15:59:40.008246Z",
     "shell.execute_reply": "2025-04-27T15:59:40.007905Z",
     "shell.execute_reply.started": "2025-04-27T15:59:39.935752Z"
    }
   },
   "outputs": [],
   "source": [
    "dem_file = data_path / \"dem_30m.img\"\n",
    "\n",
    "raster = Raster.load(dem_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b09c2786",
   "metadata": {},
   "source": [
    "#### Now that the raster is loaded we can resample it\n",
    "\n",
    "The `resample_to_grid()` method performs geostatistics and returns an array in the shape of the modelgrid. Options for resampling include `\"nearest\"`, `\"linear\"` (bilinear), `\"cubic\"` (bicubic), `\"max\"`, `\"min\"`, `\"mean\"`, `\"median\"`, and `\"mode\"` (most common value)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3e6057f8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.008755Z",
     "iopub.status.busy": "2025-04-27T15:59:40.008620Z",
     "iopub.status.idle": "2025-04-27T15:59:40.588155Z",
     "shell.execute_reply": "2025-04-27T15:59:40.587915Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.008746Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[2288.88427734, 2273.79296875, 2263.59692383, ..., 2035.27868652,\n",
       "        2020.77258301, 2011.82592773],\n",
       "       [2308.66918945, 2301.82080078, 2284.20483398, ..., 2037.7668457 ,\n",
       "        2022.42944336, 2011.48937988],\n",
       "       [2326.71118164, 2321.3112793 , 2301.70703125, ..., 2042.32263184,\n",
       "        2025.94592285, 2015.38793945],\n",
       "       ...,\n",
       "       [2207.31152344, 2229.87426758, 2239.453125  , ..., 2112.20751953,\n",
       "        2095.49414062, 2073.16308594],\n",
       "       [2176.74121094, 2186.13769531, 2201.04858398, ..., 2095.2331543 ,\n",
       "        2074.06396484, 2051.18530273],\n",
       "       [2156.98022461, 2157.87744141, 2164.14770508, ..., 2077.35131836,\n",
       "        2053.95043945, 2035.44116211]], shape=(75, 82))"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let's get the nearest neighbor elevations\n",
    "dem_data = raster.resample_to_grid(\n",
    "    modelgrid,\n",
    "    band=raster.bands[0],\n",
    "    method=\"nearest\"\n",
    ")\n",
    "dem_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ec16505d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.588719Z",
     "iopub.status.busy": "2025-04-27T15:59:40.588561Z",
     "iopub.status.idle": "2025-04-27T15:59:40.731236Z",
     "shell.execute_reply": "2025-04-27T15:59:40.730971Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.588710Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now let's plot it up and see what we have\n",
    "fig, ax = plt.subplots(figsize=(10, 8)) \n",
    "pmv = flopy.plot.PlotMapView(ax=ax, modelgrid=modelgrid)\n",
    "\n",
    "pmv.plot_grid(lw=0.5, zorder=3)\n",
    "pc = pmv.plot_array(dem_data, alpha=0.75, zorder=1, cmap=\"viridis\")\n",
    "pmv.plot_array(ibound, masked_values=[1], cmap=\"magma\", zorder=2)\n",
    "plt.colorbar(pc, shrink=0.7);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "370b8b15",
   "metadata": {},
   "source": [
    "### Start creating model files from the data we've gathered so far.\n",
    "\n",
    "At this point we have almost everything we need to begin creating a model discretization package. The only thing left to calculate is the model bottom. Let's assume bedrock 150 m below land surface throughout the basin and begin creating our model. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc084602",
   "metadata": {},
   "source": [
    "We'll first start by creating our simulation object and adding a solver and the time discretization. This model will be a year long with 12 stress periods and a daily time step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a68ba62a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.731691Z",
     "iopub.status.busy": "2025-04-27T15:59:40.731615Z",
     "iopub.status.idle": "2025-04-27T15:59:40.778541Z",
     "shell.execute_reply": "2025-04-27T15:59:40.778258Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.731683Z"
    }
   },
   "outputs": [],
   "source": [
    "sim = flopy.mf6.MFSimulation(\"sagehen\", sim_ws=data_path)\n",
    "ims = flopy.mf6.ModflowIms(sim, complexity=\"COMPLEX\")\n",
    "nper = 12\n",
    "perlen = (31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)\n",
    "period_data = [(i, i, 1.0) for i in perlen]\n",
    "tdis = flopy.mf6.ModflowTdis(\n",
    "    sim,\n",
    "    nper=12,\n",
    "    perioddata=period_data,\n",
    "    time_units=\"days\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5c0ba6b",
   "metadata": {},
   "source": [
    "Now to create the Groundwater flow model object and add the dis file to it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "0953b65d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.778908Z",
     "iopub.status.busy": "2025-04-27T15:59:40.778833Z",
     "iopub.status.idle": "2025-04-27T15:59:40.783771Z",
     "shell.execute_reply": "2025-04-27T15:59:40.783481Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.778899Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name = sagehen\n",
       "model_type = gwf6\n",
       "version = mf6\n",
       "model_relative_path = .\n",
       "\n",
       "###################\n",
       "Package dis\n",
       "###################\n",
       "\n",
       "package_name = dis\n",
       "filename = sagehen.dis\n",
       "package_type = dis\n",
       "model_or_simulation_package = model\n",
       "model_name = sagehen\n",
       "\n"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwf = flopy.mf6.ModflowGwf(\n",
    "    sim,\n",
    "    modelname='sagehen',\n",
    "    save_flows=True,\n",
    ")\n",
    "\n",
    "# add the dis package\n",
    "botm = np.expand_dims(dem_data, axis=0) - 150\n",
    "dis = flopy.mf6.ModflowGwfdis(\n",
    "    gwf,\n",
    "    nrow=modelgrid.nrow,\n",
    "    ncol=modelgrid.ncol,\n",
    "    delr=modelgrid.delr,\n",
    "    delc=modelgrid.delc,\n",
    "    top=dem_data,\n",
    "    botm=botm,\n",
    "    idomain=ibound\n",
    ")\n",
    "\n",
    "gwf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34d64a8f",
   "metadata": {},
   "source": [
    "We can also add an initial conditions file to the model. Let's assume water level begins at 5 meters below land surface"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "29159be8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.784185Z",
     "iopub.status.busy": "2025-04-27T15:59:40.784097Z",
     "iopub.status.idle": "2025-04-27T15:59:40.787294Z",
     "shell.execute_reply": "2025-04-27T15:59:40.787015Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.784176Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name = sagehen\n",
       "model_type = gwf6\n",
       "version = mf6\n",
       "model_relative_path = .\n",
       "\n",
       "###################\n",
       "Package dis\n",
       "###################\n",
       "\n",
       "package_name = dis\n",
       "filename = sagehen.dis\n",
       "package_type = dis\n",
       "model_or_simulation_package = model\n",
       "model_name = sagehen\n",
       "\n",
       "\n",
       "###################\n",
       "Package ic\n",
       "###################\n",
       "\n",
       "package_name = ic\n",
       "filename = sagehen.ic\n",
       "package_type = ic\n",
       "model_or_simulation_package = model\n",
       "model_name = sagehen\n",
       "\n"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ic = flopy.mf6.ModflowGwfic(gwf, strt=dem_data - 5)\n",
    "gwf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35bfb1ca",
   "metadata": {},
   "source": [
    "And we can create our NPF and STO packages using values from literature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "d44c69ce",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.787959Z",
     "iopub.status.busy": "2025-04-27T15:59:40.787826Z",
     "iopub.status.idle": "2025-04-27T15:59:40.791519Z",
     "shell.execute_reply": "2025-04-27T15:59:40.791058Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.787942Z"
    }
   },
   "outputs": [],
   "source": [
    "npf = flopy.mf6.ModflowGwfnpf(\n",
    "    gwf,\n",
    "    save_flows=True,\n",
    "    save_specific_discharge=True,\n",
    "    k=0.022  # value from Larsen et al, 2022\n",
    ")\n",
    "\n",
    "sto = flopy.mf6.ModflowGwfsto(\n",
    "    gwf,\n",
    "    save_flows=True,\n",
    "    iconvert=1,\n",
    "    ss=1e-07,  # values from Larsen et al, 2022\n",
    "    sy=0.2\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eae7944a",
   "metadata": {},
   "source": [
    "We can also add a OC package now"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4385aa9d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.792196Z",
     "iopub.status.busy": "2025-04-27T15:59:40.792066Z",
     "iopub.status.idle": "2025-04-27T15:59:40.806346Z",
     "shell.execute_reply": "2025-04-27T15:59:40.806065Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.792183Z"
    }
   },
   "outputs": [],
   "source": [
    "# build output control package\n",
    "budget_file = \"sagehen.cbc\"\n",
    "head_file = \"sagehen.hds\"\n",
    "saverecord = {i: [(\"HEAD\", \"ALL\"), (\"BUDGET\", \"ALL\")] for i in range(gwf.nper)}\n",
    "oc = flopy.mf6.ModflowGwfoc(\n",
    "    gwf,\n",
    "    budget_filerecord=budget_file,\n",
    "    head_filerecord=head_file,\n",
    "    saverecord=saverecord,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c06684d",
   "metadata": {},
   "source": [
    "## Class Exercise: Loading and resampling rasters\n",
    "\n",
    "For this exercise we are loading and resampling monthly Daymet climate data for Sagehen basin.\n",
    "\n",
    "Load the potential evapotranspiration raster `pet_raster` using flopy's `Raster` class and create a dictionary of resampled PET that stores all 12 months of values.\n",
    "\n",
    "**Hints:**\n",
    "\n",
    "   - Rasters contain multiple datasets called bands, the `Raster` class has a `.bands` attribute that returns a list of all of the bands within the raster. Lists can be looped over!\n",
    "   - Because the data is coarse compared to our model discretization, the nearest neighbor method should be appropriate for resampling `method=\"nearest\"`\n",
    "   - Finally no data values should be converted to 0 value. The `Raster` class has a `.nodatavals` attribute that returns a list of no data values. There is only one in this list; use numpy's boolean indexing or `np.where()` to replace all of the no data entries with 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e97525f0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.806930Z",
     "iopub.status.busy": "2025-04-27T15:59:40.806793Z",
     "iopub.status.idle": "2025-04-27T15:59:40.808807Z",
     "shell.execute_reply": "2025-04-27T15:59:40.808456Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.806921Z"
    }
   },
   "outputs": [],
   "source": [
    "pet_raster = data_path / \"pet.tif\"\n",
    "prcp_raster = data_path / \"prcp.tif\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7ab932b9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.809272Z",
     "iopub.status.busy": "2025-04-27T15:59:40.809183Z",
     "iopub.status.idle": "2025-04-27T15:59:40.813291Z",
     "shell.execute_reply": "2025-04-27T15:59:40.812956Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.809263Z"
    }
   },
   "outputs": [],
   "source": [
    "rstr = flopy.utils.Raster.load(pet_raster)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f1a37fe4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.813855Z",
     "iopub.status.busy": "2025-04-27T15:59:40.813752Z",
     "iopub.status.idle": "2025-04-27T15:59:40.836909Z",
     "shell.execute_reply": "2025-04-27T15:59:40.836637Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.813846Z"
    }
   },
   "outputs": [
    {
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       "         1.00581992],\n",
       "        [0.89827865, 0.89827865, 0.89827865, ..., 1.00581992, 1.00581992,\n",
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       "        [1.31099296, 1.31099296, 1.31099296, ..., 1.42294502, 1.42294502,\n",
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       " 5: array([[4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
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       "         5.388381  ],\n",
       "        [4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
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       "         5.34579992],\n",
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       "         5.34579992],\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992]], shape=(75, 82)),\n",
       " 6: array([[5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        [5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        [5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
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       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138],\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138]], shape=(75, 82)),\n",
       " 7: array([[4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        [4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        [4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499],\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499],\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499]], shape=(75, 82)),\n",
       " 8: array([[3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
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       "         3.73335552],\n",
       "        [3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512],\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512],\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512]], shape=(75, 82)),\n",
       " 9: array([[1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        [1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        [1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676],\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676],\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676]], shape=(75, 82)),\n",
       " 10: array([[1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        [1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        [1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856],\n",
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       "         1.42739856],\n",
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       "         1.42739856]], shape=(75, 82)),\n",
       " 11: array([[0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        [0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        [0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ]], shape=(75, 82))}"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pet_monthly = {}\n",
    "for band in rstr.bands:\n",
    "    t = rstr.resample_to_grid(\n",
    "        modelgrid,\n",
    "        band,\n",
    "        method=\"nearest\"\n",
    "    )\n",
    "    t[t == rstr.nodatavals[0]] = 0\n",
    "    pet_monthly[band - 1] = t\n",
    "\n",
    "pet_monthly"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6638822",
   "metadata": {},
   "source": [
    "Let's load the saved version of this data, it should be identical to the data that was produced in the exercise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7469763b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.837576Z",
     "iopub.status.busy": "2025-04-27T15:59:40.837381Z",
     "iopub.status.idle": "2025-04-27T15:59:40.900917Z",
     "shell.execute_reply": "2025-04-27T15:59:40.900632Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.837541Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "         1.00581992],\n",
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       "         1.00581992],\n",
       "        ...,\n",
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       "        [1.31099296, 1.31099296, 1.31099296, ..., 1.42294502, 1.42294502,\n",
       "         1.42294502],\n",
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       "         1.4494915 ],\n",
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       "         2.01319814],\n",
       "        [1.88199592, 1.88199592, 1.88199592, ..., 2.01319814, 2.01319814,\n",
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       "        [1.88199592, 1.88199592, 1.88199592, ..., 2.01319814, 2.01319814,\n",
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       "         2.06212258]], shape=(75, 82)),\n",
       " 3: array([[3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
       "        [3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
       "        [3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
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       "         3.41348195],\n",
       "        [0.        , 0.        , 0.        , ..., 3.41348195, 3.41348195,\n",
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       "         3.41348195]], shape=(75, 82)),\n",
       " 4: array([[3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        [3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        [3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ]], shape=(75, 82)),\n",
       " 5: array([[4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        [4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        [4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992],\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992],\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992]], shape=(75, 82)),\n",
       " 6: array([[5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        [5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        [5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138],\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138],\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138]], shape=(75, 82)),\n",
       " 7: array([[4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        [4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        [4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499],\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499],\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499]], shape=(75, 82)),\n",
       " 8: array([[3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        [3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        [3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512],\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512],\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512]], shape=(75, 82)),\n",
       " 9: array([[1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        [1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        [1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676],\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676],\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676]], shape=(75, 82)),\n",
       " 10: array([[1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        [1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        [1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856],\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856],\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856]], shape=(75, 82)),\n",
       " 11: array([[0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        [0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        [0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ]], shape=(75, 82))}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr = np.genfromtxt(data_path / \"pet.txt\")\n",
    "arr.shape = (12, modelgrid.nrow, modelgrid.ncol)\n",
    "pet_monthly = {i: a for i, a in enumerate(arr)}\n",
    "pet_monthly"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "330ebe43",
   "metadata": {},
   "source": [
    "And resample the precipitation raster we saved earlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4cb67791",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.901457Z",
     "iopub.status.busy": "2025-04-27T15:59:40.901376Z",
     "iopub.status.idle": "2025-04-27T15:59:40.925638Z",
     "shell.execute_reply": "2025-04-27T15:59:40.925355Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.901448Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: array([[4.47806406, 4.47806406, 4.47806406, ..., 3.39419365, 3.39419365,\n",
       "         3.39419365],\n",
       "        [4.47806406, 4.47806406, 4.47806406, ..., 3.39419365, 3.39419365,\n",
       "         3.39419365],\n",
       "        [4.47806406, 4.47806406, 4.47806406, ..., 3.39419365, 3.39419365,\n",
       "         3.39419365],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.0393548 , 4.0393548 ,\n",
       "         4.0393548 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.0393548 , 4.0393548 ,\n",
       "         4.0393548 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.0393548 , 4.0393548 ,\n",
       "         4.0393548 ]], shape=(75, 82)),\n",
       " 1: array([[2.36392856, 2.36392856, 2.36392856, ..., 1.75142848, 1.75142848,\n",
       "         1.75142848],\n",
       "        [2.36392856, 2.36392856, 2.36392856, ..., 1.75142848, 1.75142848,\n",
       "         1.75142848],\n",
       "        [2.36392856, 2.36392856, 2.36392856, ..., 1.75142848, 1.75142848,\n",
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       "        [0.        , 0.        , 0.        , ..., 2.35964322, 2.35964322,\n",
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       " 2: array([[2.12096763, 2.12096763, 2.12096763, ..., 1.53064525, 1.53064525,\n",
       "         1.53064525],\n",
       "        [2.12096763, 2.12096763, 2.12096763, ..., 1.53064525, 1.53064525,\n",
       "         1.53064525],\n",
       "        [2.12096763, 2.12096763, 2.12096763, ..., 1.53064525, 1.53064525,\n",
       "         1.53064525],\n",
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       "        [0.        , 0.        , 0.        , ..., 1.75612891, 1.75612891,\n",
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       "         1.75612891],\n",
       "        [0.        , 0.        , 0.        , ..., 1.75612891, 1.75612891,\n",
       "         1.75612891]], shape=(75, 82)),\n",
       " 3: array([[0.597     , 0.597     , 0.597     , ..., 0.46433336, 0.46433336,\n",
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       "        [0.597     , 0.597     , 0.597     , ..., 0.46433336, 0.46433336,\n",
       "         0.46433336],\n",
       "        [0.597     , 0.597     , 0.597     , ..., 0.46433336, 0.46433336,\n",
       "         0.46433336],\n",
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       "         0.53933334],\n",
       "        [0.        , 0.        , 0.        , ..., 0.53933334, 0.53933334,\n",
       "         0.53933334],\n",
       "        [0.        , 0.        , 0.        , ..., 0.53933334, 0.53933334,\n",
       "         0.53933334]], shape=(75, 82)),\n",
       " 4: array([[0.78161287, 0.78161287, 0.78161287, ..., 0.80645162, 0.80645162,\n",
       "         0.80645162],\n",
       "        [0.78161287, 0.78161287, 0.78161287, ..., 0.80645162, 0.80645162,\n",
       "         0.80645162],\n",
       "        [0.78161287, 0.78161287, 0.78161287, ..., 0.80645162, 0.80645162,\n",
       "         0.80645162],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.79193544, 0.79193544,\n",
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       "        [0.        , 0.        , 0.        , ..., 0.79193544, 0.79193544,\n",
       "         0.79193544],\n",
       "        [0.        , 0.        , 0.        , ..., 0.79193544, 0.79193544,\n",
       "         0.79193544]], shape=(75, 82)),\n",
       " 5: array([[0.24333334, 0.24333334, 0.24333334, ..., 0.14833333, 0.14833333,\n",
       "         0.14833333],\n",
       "        [0.24333334, 0.24333334, 0.24333334, ..., 0.14833333, 0.14833333,\n",
       "         0.14833333],\n",
       "        [0.24333334, 0.24333334, 0.24333334, ..., 0.14833333, 0.14833333,\n",
       "         0.14833333],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.14933333, 0.14933333,\n",
       "         0.14933333],\n",
       "        [0.        , 0.        , 0.        , ..., 0.14933333, 0.14933333,\n",
       "         0.14933333],\n",
       "        [0.        , 0.        , 0.        , ..., 0.14933333, 0.14933333,\n",
       "         0.14933333]], shape=(75, 82)),\n",
       " 6: array([[0.20354839, 0.20354839, 0.20354839, ..., 0.20645161, 0.20645161,\n",
       "         0.20645161],\n",
       "        [0.20354839, 0.20354839, 0.20354839, ..., 0.20645161, 0.20645161,\n",
       "         0.20645161],\n",
       "        [0.20354839, 0.20354839, 0.20354839, ..., 0.20645161, 0.20645161,\n",
       "         0.20645161],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.20451613, 0.20451613,\n",
       "         0.20451613],\n",
       "        [0.        , 0.        , 0.        , ..., 0.20451613, 0.20451613,\n",
       "         0.20451613],\n",
       "        [0.        , 0.        , 0.        , ..., 0.20451613, 0.20451613,\n",
       "         0.20451613]], shape=(75, 82)),\n",
       " 7: array([[0.08483871, 0.08483871, 0.08483871, ..., 0.11064516, 0.11064516,\n",
       "         0.11064516],\n",
       "        [0.08483871, 0.08483871, 0.08483871, ..., 0.11064516, 0.11064516,\n",
       "         0.11064516],\n",
       "        [0.08483871, 0.08483871, 0.08483871, ..., 0.11064516, 0.11064516,\n",
       "         0.11064516],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "         0.        ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "         0.        ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "         0.        ]], shape=(75, 82)),\n",
       " 8: array([[0.30833334, 0.30833334, 0.30833334, ..., 0.22766666, 0.22766666,\n",
       "         0.22766666],\n",
       "        [0.30833334, 0.30833334, 0.30833334, ..., 0.22766666, 0.22766666,\n",
       "         0.22766666],\n",
       "        [0.30833334, 0.30833334, 0.30833334, ..., 0.22766666, 0.22766666,\n",
       "         0.22766666],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.48166665, 0.48166665,\n",
       "         0.48166665],\n",
       "        [0.        , 0.        , 0.        , ..., 0.48166665, 0.48166665,\n",
       "         0.48166665],\n",
       "        [0.        , 0.        , 0.        , ..., 0.48166665, 0.48166665,\n",
       "         0.48166665]], shape=(75, 82)),\n",
       " 9: array([[9.75677395, 9.75677395, 9.75677395, ..., 8.6554842 , 8.6554842 ,\n",
       "         8.6554842 ],\n",
       "        [9.75677395, 9.75677395, 9.75677395, ..., 8.6554842 , 8.6554842 ,\n",
       "         8.6554842 ],\n",
       "        [9.75677395, 9.75677395, 9.75677395, ..., 8.6554842 , 8.6554842 ,\n",
       "         8.6554842 ],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 8.43290234, 8.43290234,\n",
       "         8.43290234],\n",
       "        [0.        , 0.        , 0.        , ..., 8.43290234, 8.43290234,\n",
       "         8.43290234],\n",
       "        [0.        , 0.        , 0.        , ..., 8.43290234, 8.43290234,\n",
       "         8.43290234]], shape=(75, 82)),\n",
       " 10: array([[1.15666664, 1.15666664, 1.15666664, ..., 0.90833336, 0.90833336,\n",
       "         0.90833336],\n",
       "        [1.15666664, 1.15666664, 1.15666664, ..., 0.90833336, 0.90833336,\n",
       "         0.90833336],\n",
       "        [1.15666664, 1.15666664, 1.15666664, ..., 0.90833336, 0.90833336,\n",
       "         0.90833336],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.10366654, 1.10366654,\n",
       "         1.10366654],\n",
       "        [0.        , 0.        , 0.        , ..., 1.10366654, 1.10366654,\n",
       "         1.10366654],\n",
       "        [0.        , 0.        , 0.        , ..., 1.10366654, 1.10366654,\n",
       "         1.10366654]], shape=(75, 82)),\n",
       " 11: array([[11.07774162, 11.07774162, 11.07774162, ...,  9.146451  ,\n",
       "          9.146451  ,  9.146451  ],\n",
       "        [11.07774162, 11.07774162, 11.07774162, ...,  9.146451  ,\n",
       "          9.146451  ,  9.146451  ],\n",
       "        [11.07774162, 11.07774162, 11.07774162, ...,  9.146451  ,\n",
       "          9.146451  ,  9.146451  ],\n",
       "        ...,\n",
       "        [ 0.        ,  0.        ,  0.        , ..., 10.41838837,\n",
       "         10.41838837, 10.41838837],\n",
       "        [ 0.        ,  0.        ,  0.        , ..., 10.41838837,\n",
       "         10.41838837, 10.41838837],\n",
       "        [ 0.        ,  0.        ,  0.        , ..., 10.41838837,\n",
       "         10.41838837, 10.41838837]], shape=(75, 82))}"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rstr = flopy.utils.Raster.load(prcp_raster)\n",
    "prcp_monthly = {}\n",
    "for band in rstr.bands:\n",
    "    t = rstr.resample_to_grid(\n",
    "        modelgrid,\n",
    "        band,\n",
    "        method=\"nearest\"\n",
    "    )\n",
    "    t[t == rstr.nodatavals[0]] = 0\n",
    "    prcp_monthly[band - 1] = t\n",
    "    \n",
    "prcp_monthly"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9864665e",
   "metadata": {},
   "source": [
    "Potetial evapotranspiration and Precipitation data from daymet are in mm/day, however our discretization is meters/day. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "5556e58f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.926177Z",
     "iopub.status.busy": "2025-04-27T15:59:40.926091Z",
     "iopub.status.idle": "2025-04-27T15:59:40.928824Z",
     "shell.execute_reply": "2025-04-27T15:59:40.928568Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.926168Z"
    }
   },
   "outputs": [],
   "source": [
    "prcp_monthly = {k: v * 0.001 for k, v in prcp_monthly.items()}\n",
    "pet_monthly = {k: v * 0.001 for k, v in pet_monthly.items()}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc8ab240",
   "metadata": {},
   "source": [
    "Finally we can load a saved soil hydraulic conductivity array, and we have the information we need to create a Unsaturated Zone Flow (UZF) package for this model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "c6310044",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:40.929234Z",
     "iopub.status.busy": "2025-04-27T15:59:40.929151Z",
     "iopub.status.idle": "2025-04-27T15:59:41.009104Z",
     "shell.execute_reply": "2025-04-27T15:59:41.008875Z",
     "shell.execute_reply.started": "2025-04-27T15:59:40.929226Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ksat_raster = data_path / \"ksat.img\"\n",
    "rstr = flopy.utils.Raster.load(ksat_raster)\n",
    "vks = rstr.resample_to_grid(\n",
    "    modelgrid,\n",
    "    rstr.bands[0],\n",
    "    method=\"nearest\"\n",
    ")\n",
    "\n",
    "vks[vks == rstr.nodatavals[0]] = np.nan\n",
    "vks[np.isnan(vks)] = np.nanmean(vks)\n",
    "vks *= 0.0864 \n",
    "ims = plt.imshow(vks)\n",
    "plt.colorbar(shrink=0.6); # um per sec to m per day"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af094113",
   "metadata": {},
   "source": [
    "#### Creating a UZF package \n",
    "\n",
    "Now that we have some climate and soils data we can create a UZF package from it and add it to the model!\n",
    "\n",
    "Create the package data and the stress period data info for flopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6283510f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:41.009646Z",
     "iopub.status.busy": "2025-04-27T15:59:41.009562Z",
     "iopub.status.idle": "2025-04-27T15:59:41.129063Z",
     "shell.execute_reply": "2025-04-27T15:59:41.128756Z",
     "shell.execute_reply.started": "2025-04-27T15:59:41.009638Z"
    }
   },
   "outputs": [],
   "source": [
    "modelgrid = gwf.modelgrid\n",
    "modelgrid.set_coord_info(xoff=xmin, yoff=ymin)\n",
    "package_data = []\n",
    "cnt = 0\n",
    "for i in range(modelgrid.nrow):\n",
    "    for j in range(modelgrid.ncol):\n",
    "        if modelgrid.idomain[0, i, j] == 0:\n",
    "            continue\n",
    "        \n",
    "        rec = (cnt, (0, i, j), 1, 0, 1.0, vks[i, j], 0.1, 0.38, 0.1, 3.5)\n",
    "        package_data.append(rec)\n",
    "        cnt += 1\n",
    "\n",
    "period_data = {}\n",
    "for per in range(gwf.nper):\n",
    "    spd = []\n",
    "    cnt = 0\n",
    "    for i in range(modelgrid.nrow * modelgrid.ncol):\n",
    "        if modelgrid.idomain.ravel()[i] == 0:\n",
    "            continue\n",
    "        rec = (cnt, prcp_monthly[per].ravel()[i], pet_monthly[per].ravel()[i], 0.5, 0.2, -1.1, -75, 1.0)\n",
    "        spd.append(rec)\n",
    "        cnt += 1\n",
    "        \n",
    "    period_data[per] = spd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "d14f6df9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:41.129667Z",
     "iopub.status.busy": "2025-04-27T15:59:41.129569Z",
     "iopub.status.idle": "2025-04-27T15:59:41.215089Z",
     "shell.execute_reply": "2025-04-27T15:59:41.214816Z",
     "shell.execute_reply.started": "2025-04-27T15:59:41.129659Z"
    }
   },
   "outputs": [],
   "source": [
    "uzf = flopy.mf6.ModflowGwfuzf(\n",
    "    gwf,\n",
    "    simulate_et=True,\n",
    "    ntrailwaves=15,\n",
    "    nwavesets=100,\n",
    "    packagedata=package_data,\n",
    "    perioddata=period_data,\n",
    "    unsat_etwc=True,\n",
    "    linear_gwet=True,\n",
    "    simulate_gwseep=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bc25d48",
   "metadata": {},
   "source": [
    "### Now to create a simple river package from NHD flowlines \n",
    "\n",
    "We can use the intersection routines that have been presented thus far to create a river package for the sagehen model. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44e4060c",
   "metadata": {},
   "source": [
    "The first step is load the NHD flowlines for the basin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "513512bb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:41.215594Z",
     "iopub.status.busy": "2025-04-27T15:59:41.215507Z",
     "iopub.status.idle": "2025-04-27T15:59:41.291054Z",
     "shell.execute_reply": "2025-04-27T15:59:41.290788Z",
     "shell.execute_reply.started": "2025-04-27T15:59:41.215586Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flow_lines = data_path / \"sagehen_nhd.shp\"\n",
    "flw_all = gpd.read_file(flow_lines)\n",
    "flw_all.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30e6d2f5",
   "metadata": {},
   "source": [
    "Excellent! Now we have all of the flow lines for the Sagehen watershed. But what if we want to identify the main stem? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "87b4a83b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:41.291510Z",
     "iopub.status.busy": "2025-04-27T15:59:41.291428Z",
     "iopub.status.idle": "2025-04-27T15:59:41.336119Z",
     "shell.execute_reply": "2025-04-27T15:59:41.335862Z",
     "shell.execute_reply.started": "2025-04-27T15:59:41.291501Z"
    }
   },
   "outputs": [
    {
     "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>nhdplus_co</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8933522</td>\n",
       "      <td>LINESTRING (221038.128 4369598.916, 221076.482...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8933524</td>\n",
       "      <td>LINESTRING (220540.741 4369697.577, 220691.351...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8933520</td>\n",
       "      <td>LINESTRING (220240.365 4369758.86, 220244.995 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8934344</td>\n",
       "      <td>LINESTRING (219769.843 4369876.335, 219795.329...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8933512</td>\n",
       "      <td>LINESTRING (219321.052 4369977.09, 219357.89 4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8933508</td>\n",
       "      <td>LINESTRING (218509.989 4370180.464, 218578.637...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8933496</td>\n",
       "      <td>LINESTRING (217726.838 4370179.373, 217746.044...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8933582</td>\n",
       "      <td>LINESTRING (215175.791 4368533.473, 215195.962...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  nhdplus_co                                           geometry\n",
       "0    8933522  LINESTRING (221038.128 4369598.916, 221076.482...\n",
       "1    8933524  LINESTRING (220540.741 4369697.577, 220691.351...\n",
       "2    8933520  LINESTRING (220240.365 4369758.86, 220244.995 ...\n",
       "3    8934344  LINESTRING (219769.843 4369876.335, 219795.329...\n",
       "4    8933512  LINESTRING (219321.052 4369977.09, 219357.89 4...\n",
       "5    8933508  LINESTRING (218509.989 4370180.464, 218578.637...\n",
       "6    8933496  LINESTRING (217726.838 4370179.373, 217746.044...\n",
       "7    8933582  LINESTRING (215175.791 4368533.473, 215195.962..."
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flow_lines = data_path / \"sagehen_main_nhd.shp\"\n",
    "flw_main = gpd.read_file(flow_lines)\n",
    "flw_main.plot()\n",
    "flw_main"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdf6a82e",
   "metadata": {},
   "source": [
    "Great! Now we can start processing data to create a river package. We can first identify our main stem cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "bc236aeb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:41.336754Z",
     "iopub.status.busy": "2025-04-27T15:59:41.336665Z",
     "iopub.status.idle": "2025-04-27T15:59:41.356059Z",
     "shell.execute_reply": "2025-04-27T15:59:41.355812Z",
     "shell.execute_reply.started": "2025-04-27T15:59:41.336746Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mnfienen/miniforge3/envs/pyclass/lib/python3.11/site-packages/flopy/utils/gridintersect.py:123: DeprecationWarning: Note `method=\"structured\"` is deprecated. Pass `method=\"vertex\"` to silence this warning. This will be the new default in a future release and this keyword argument will be removed.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[(42, 75), (42, 76), (41, 76), (41, 77), (41, 78)]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main_stem = []\n",
    "gx = GridIntersect(modelgrid)\n",
    "for iloc, row in flw_main.iterrows():\n",
    "    results = gx.intersect(row.geometry)\n",
    "    main_stem += list(results.cellids)\n",
    "main_stem[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "747a7c97",
   "metadata": {},
   "source": [
    "## Class Exercise:\n",
    "\n",
    "Use GridIntersect to create a list of tributary cells from the `flw_all` geodataframe. \n",
    "\n",
    "**Hint**\n",
    "Use the `main_stem` list to filter out cells that are associated with the main stem of the river and only store the cells that are associated with tributaries to the main stem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "4972e581",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:41.356598Z",
     "iopub.status.busy": "2025-04-27T15:59:41.356489Z",
     "iopub.status.idle": "2025-04-27T15:59:41.399252Z",
     "shell.execute_reply": "2025-04-27T15:59:41.399010Z",
     "shell.execute_reply.started": "2025-04-27T15:59:41.356586Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mnfienen/miniforge3/envs/pyclass/lib/python3.11/site-packages/flopy/utils/gridintersect.py:123: DeprecationWarning: Note `method=\"structured\"` is deprecated. Pass `method=\"vertex\"` to silence this warning. This will be the new default in a future release and this keyword argument will be removed.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "tributaries = []\n",
    "gx = GridIntersect(modelgrid)\n",
    "for iloc, row in flw_all.iterrows():\n",
    "    results = gx.intersect(row.geometry)\n",
    "    for res in results.cellids:\n",
    "        if res in main_stem:\n",
    "            continue\n",
    "        else:\n",
    "            tributaries.append(res)\n",
    "            \n",
    "tributaries[0:5]\n",
    "with open(data_path / \"trib_cells.txt\", 'w') as foo:\n",
    "    for line in tributaries:\n",
    "        foo.write(f\"{line[0]},{line[1]}\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5709f808",
   "metadata": {},
   "source": [
    "The cellids for tributaries have been stored previously, so we'll load those up and continue on.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d85d59db",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:41.399751Z",
     "iopub.status.busy": "2025-04-27T15:59:41.399668Z",
     "iopub.status.idle": "2025-04-27T15:59:41.406482Z",
     "shell.execute_reply": "2025-04-27T15:59:41.406191Z",
     "shell.execute_reply.started": "2025-04-27T15:59:41.399743Z"
    }
   },
   "outputs": [],
   "source": [
    "tributaries = []\n",
    "with open(data_path / \"trib_cells.txt\") as foo:\n",
    "    for line in foo:\n",
    "        t = line.strip().split(\",\")\n",
    "        tributaries.append((int(t[0]), int(t[1])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "346df19a",
   "metadata": {},
   "source": [
    "#### We can also get daily discharge data to help calculate average monthly stages for the RIV package\n",
    "\n",
    "We'll use the `dataretrieval` package to get stage information for our model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "da9ce21b-dc4a-40be-b5c0-406ab4db8a42",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:41.406861Z",
     "iopub.status.busy": "2025-04-27T15:59:41.406776Z",
     "iopub.status.idle": "2025-04-27T15:59:43.228112Z",
     "shell.execute_reply": "2025-04-27T15:59:43.227826Z",
     "shell.execute_reply.started": "2025-04-27T15:59:41.406849Z"
    }
   },
   "outputs": [],
   "source": [
    "import dataretrieval.nwis as nwis\n",
    "\n",
    "\n",
    "gage = nwis.get_record(sites=station_id, service='iv', start=\"2023-01-01\", end=\"2023-12-31\", parameterCd=\"00065\")\n",
    "gage.to_csv(data_path / \"sagehen_gage_data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "c9f6646d-71ba-40b7-ab37-b3cf4ecf3647",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:43.228594Z",
     "iopub.status.busy": "2025-04-27T15:59:43.228518Z",
     "iopub.status.idle": "2025-04-27T15:59:43.536058Z",
     "shell.execute_reply": "2025-04-27T15:59:43.535759Z",
     "shell.execute_reply.started": "2025-04-27T15:59:43.228585Z"
    }
   },
   "outputs": [
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gage = pd.read_csv(data_path / \"sagehen_gage_data.csv\")\n",
    "gage[\"datetime\"] = pd.to_datetime(gage[\"datetime\"])\n",
    "gage = gage.set_index(\"datetime\")\n",
    "\n",
    "gage.rename(columns={\"00065\": \"stage\"}, inplace=True)\n",
    "gage.stage *= 0.3284\n",
    "ax = gage.stage.plot()\n",
    "ax.set_ylabel(\"stage, in feet\")\n",
    "gage.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11a7824d",
   "metadata": {},
   "source": [
    "Now we can aggregate to a mean monthly stage from 15 minute instantaneous values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4ed1d203",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:43.536623Z",
     "iopub.status.busy": "2025-04-27T15:59:43.536538Z",
     "iopub.status.idle": "2025-04-27T15:59:43.581563Z",
     "shell.execute_reply": "2025-04-27T15:59:43.581271Z",
     "shell.execute_reply.started": "2025-04-27T15:59:43.536614Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gage[\"month\"] = gage.index.month\n",
    "gage_mmo = gage.groupby(by=[\"month\"], as_index=False)[\"stage\"].mean()\n",
    "ax = gage_mmo.stage.plot()\n",
    "ax.set_ylabel(\"mean stage, in feet\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "994b0757",
   "metadata": {},
   "source": [
    "### Now to create the RIV package\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "d0d82e1f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:43.582148Z",
     "iopub.status.busy": "2025-04-27T15:59:43.582049Z",
     "iopub.status.idle": "2025-04-27T15:59:43.604137Z",
     "shell.execute_reply": "2025-04-27T15:59:43.603840Z",
     "shell.execute_reply.started": "2025-04-27T15:59:43.582137Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[((0, 42, 75),\n",
       "  np.float64(1936.8217418655074),\n",
       "  10,\n",
       "  np.float64(1936.2347412109375)),\n",
       " ((0, 42, 76), np.float64(1935.65633659207), 10, np.float64(1935.0693359375)),\n",
       " ((0, 41, 76),\n",
       "  np.float64(1932.400721357695),\n",
       "  10,\n",
       "  np.float64(1931.813720703125)),\n",
       " ((0, 41, 77),\n",
       "  np.float64(1930.8251598342574),\n",
       "  10,\n",
       "  np.float64(1930.2381591796875)),\n",
       " ((0, 41, 78), np.float64(1928.34823112332), 10, np.float64(1927.76123046875))]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cond = 10\n",
    "rbadj = 1\n",
    "stage_adj = 0.33\n",
    "\n",
    "perioddata = {}\n",
    "for kper, row in gage_mmo.iterrows():\n",
    "    spd = []\n",
    "    for (i, j) in main_stem:\n",
    "        ctop = modelgrid.top[i, j]\n",
    "        rbed = ctop - rbadj\n",
    "        rec = ((0, i, j), row.stage + rbed, cond, rbed)\n",
    "        spd.append(rec)\n",
    "        \n",
    "    for (i, j) in tributaries:\n",
    "        ctop = modelgrid.top[i, j]\n",
    "        rbed = ctop - (rbadj / 2)\n",
    "        rec = ((0, i, j), row.stage + rbed, cond, rbed)\n",
    "    \n",
    "    perioddata[kper] = spd\n",
    "\n",
    "perioddata[0][0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "cadccc45",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:43.604592Z",
     "iopub.status.busy": "2025-04-27T15:59:43.604513Z",
     "iopub.status.idle": "2025-04-27T15:59:43.627680Z",
     "shell.execute_reply": "2025-04-27T15:59:43.627399Z",
     "shell.execute_reply.started": "2025-04-27T15:59:43.604583Z"
    }
   },
   "outputs": [],
   "source": [
    "riv = flopy.mf6.ModflowGwfriv(\n",
    "    gwf,\n",
    "    save_flows=True,\n",
    "    maxbound=len(perioddata[0]),\n",
    "    stress_period_data=perioddata\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca7a957f",
   "metadata": {},
   "source": [
    "## Testing the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "fb26d180",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T15:59:43.628132Z",
     "iopub.status.busy": "2025-04-27T15:59:43.628034Z",
     "iopub.status.idle": "2025-04-27T16:00:56.307526Z",
     "shell.execute_reply": "2025-04-27T16:00:56.307220Z",
     "shell.execute_reply.started": "2025-04-27T15:59:43.628123Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "writing simulation...\n",
      "  writing simulation name file...\n",
      "  writing simulation tdis package...\n",
      "  writing solution package ims_-1...\n",
      "  writing model sagehen...\n",
      "    writing model name file...\n",
      "    writing package dis...\n",
      "    writing package ic...\n",
      "    writing package npf...\n",
      "    writing package sto...\n",
      "    writing package oc...\n",
      "    writing package uzf_0...\n",
      "INFORMATION: nuzfcells in ('gwf6', 'uzf', 'dimensions') changed to 3587 based on size of packagedata\n",
      "    writing package riv_0...\n",
      "FloPy is using the following executable to run the model: ../../../../../../../.local/share/flopy/bin/mf6\n",
      "                                   MODFLOW 6\n",
      "                U.S. GEOLOGICAL SURVEY MODULAR HYDROLOGIC MODEL\n",
      "                            VERSION 6.4.2 06/28/2023\n",
      "\n",
      "   MODFLOW 6 compiled Jul 05 2023 20:29:14 with Intel(R) Fortran Intel(R) 64\n",
      "   Compiler Classic for applications running on Intel(R) 64, Version 2021.7.0\n",
      "                             Build 20220726_000000\n",
      "\n",
      "This software has been approved for release by the U.S. Geological \n",
      "Survey (USGS). Although the software has been subjected to rigorous \n",
      "review, the USGS reserves the right to update the software as needed \n",
      "pursuant to further analysis and review. No warranty, expressed or \n",
      "implied, is made by the USGS or the U.S. Government as to the \n",
      "functionality of the software and related material nor shall the \n",
      "fact of release constitute any such warranty. Furthermore, the \n",
      "software is released on condition that neither the USGS nor the U.S. \n",
      "Government shall be held liable for any damages resulting from its \n",
      "authorized or unauthorized use. Also refer to the USGS Water \n",
      "Resources Software User Rights Notice for complete use, copyright, \n",
      "and distribution information.\n",
      "\n",
      " \n",
      " Run start date and time (yyyy/mm/dd hh:mm:ss): 2025/04/27 10:59:44\n",
      " \n",
      " Writing simulation list file: mfsim.lst\n",
      " Using Simulation name file: mfsim.nam\n",
      " \n",
      "    Solving:  Stress period:     1    Time step:     1\n",
      "    Solving:  Stress period:     1    Time step:     2\n",
      "    Solving:  Stress period:     1    Time step:     3\n",
      "    Solving:  Stress period:     1    Time step:     4\n",
      "    Solving:  Stress period:     1    Time step:     5\n",
      "    Solving:  Stress period:     1    Time step:     6\n",
      "    Solving:  Stress period:     1    Time step:     7\n",
      "    Solving:  Stress period:     1    Time step:     8\n",
      "    Solving:  Stress period:     1    Time step:     9\n",
      "    Solving:  Stress period:     1    Time step:    10\n",
      "    Solving:  Stress period:     1    Time step:    11\n",
      "    Solving:  Stress period:     1    Time step:    12\n",
      "    Solving:  Stress period:     1    Time step:    13\n",
      "    Solving:  Stress period:     1    Time step:    14\n",
      "    Solving:  Stress period:     1    Time step:    15\n",
      "    Solving:  Stress period:     1    Time step:    16\n",
      "    Solving:  Stress period:     1    Time step:    17\n",
      "    Solving:  Stress period:     1    Time step:    18\n",
      "    Solving:  Stress period:     1    Time step:    19\n",
      "    Solving:  Stress period:     1    Time step:    20\n",
      "    Solving:  Stress period:     1    Time step:    21\n",
      "    Solving:  Stress period:     1    Time step:    22\n",
      "    Solving:  Stress period:     1    Time step:    23\n",
      "    Solving:  Stress period:     1    Time step:    24\n",
      "    Solving:  Stress period:     1    Time step:    25\n",
      "    Solving:  Stress period:     1    Time step:    26\n",
      "    Solving:  Stress period:     1    Time step:    27\n",
      "    Solving:  Stress period:     1    Time step:    28\n",
      "    Solving:  Stress period:     1    Time step:    29\n",
      "    Solving:  Stress period:     1    Time step:    30\n",
      "    Solving:  Stress period:     1    Time step:    31\n",
      "    Solving:  Stress period:     2    Time step:     1\n",
      "    Solving:  Stress period:     2    Time step:     2\n",
      "    Solving:  Stress period:     2    Time step:     3\n",
      "    Solving:  Stress period:     2    Time step:     4\n",
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      "    Solving:  Stress period:     2    Time step:     6\n",
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      "    Solving:  Stress period:     2    Time step:     8\n",
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      "    Solving:  Stress period:     2    Time step:    10\n",
      "    Solving:  Stress period:     2    Time step:    11\n",
      "    Solving:  Stress period:     2    Time step:    12\n",
      "    Solving:  Stress period:     2    Time step:    13\n",
      "    Solving:  Stress period:     2    Time step:    14\n",
      "    Solving:  Stress period:     2    Time step:    15\n",
      "    Solving:  Stress period:     2    Time step:    16\n",
      "    Solving:  Stress period:     2    Time step:    17\n",
      "    Solving:  Stress period:     2    Time step:    18\n",
      "    Solving:  Stress period:     2    Time step:    19\n",
      "    Solving:  Stress period:     2    Time step:    20\n",
      "    Solving:  Stress period:     2    Time step:    21\n",
      "    Solving:  Stress period:     2    Time step:    22\n",
      "    Solving:  Stress period:     2    Time step:    23\n",
      "    Solving:  Stress period:     2    Time step:    24\n",
      "    Solving:  Stress period:     2    Time step:    25\n",
      "    Solving:  Stress period:     2    Time step:    26\n",
      "    Solving:  Stress period:     2    Time step:    27\n",
      "    Solving:  Stress period:     2    Time step:    28\n",
      "    Solving:  Stress period:     3    Time step:     1\n",
      "    Solving:  Stress period:     3    Time step:     2\n",
      "    Solving:  Stress period:     3    Time step:     3\n",
      "    Solving:  Stress period:     3    Time step:     4\n",
      "    Solving:  Stress period:     3    Time step:     5\n",
      "    Solving:  Stress period:     3    Time step:     6\n",
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      "    Solving:  Stress period:     3    Time step:    10\n",
      "    Solving:  Stress period:     3    Time step:    11\n",
      "    Solving:  Stress period:     3    Time step:    12\n",
      "    Solving:  Stress period:     3    Time step:    13\n",
      "    Solving:  Stress period:     3    Time step:    14\n",
      "    Solving:  Stress period:     3    Time step:    15\n",
      "    Solving:  Stress period:     3    Time step:    16\n",
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      "    Solving:  Stress period:     3    Time step:    18\n",
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      "    Solving:  Stress period:     3    Time step:    20\n",
      "    Solving:  Stress period:     3    Time step:    21\n",
      "    Solving:  Stress period:     3    Time step:    22\n",
      "    Solving:  Stress period:     3    Time step:    23\n",
      "    Solving:  Stress period:     3    Time step:    24\n",
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      "    Solving:  Stress period:     3    Time step:    26\n",
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      "    Solving:  Stress period:     3    Time step:    31\n",
      "    Solving:  Stress period:     4    Time step:     1\n",
      "    Solving:  Stress period:     4    Time step:     2\n",
      "    Solving:  Stress period:     4    Time step:     3\n",
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      "    Solving:  Stress period:     4    Time step:    21\n",
      "    Solving:  Stress period:     4    Time step:    22\n",
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      "    Solving:  Stress period:     4    Time step:    24\n",
      "    Solving:  Stress period:     4    Time step:    25\n",
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      "    Solving:  Stress period:     5    Time step:     1\n",
      "    Solving:  Stress period:     5    Time step:     2\n",
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      "    Solving:  Stress period:     5    Time step:     6\n",
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      "    Solving:  Stress period:     5    Time step:    15\n",
      "    Solving:  Stress period:     5    Time step:    16\n",
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      "    Solving:  Stress period:     5    Time step:    20\n",
      "    Solving:  Stress period:     5    Time step:    21\n",
      "    Solving:  Stress period:     5    Time step:    22\n",
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      "    Solving:  Stress period:     5    Time step:    24\n",
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      "    Solving:  Stress period:     6    Time step:     1\n",
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      "    Solving:  Stress period:     6    Time step:    11\n",
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      "    Solving:  Stress period:     6    Time step:    16\n",
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      "    Solving:  Stress period:     6    Time step:    20\n",
      "    Solving:  Stress period:     6    Time step:    21\n",
      "    Solving:  Stress period:     6    Time step:    22\n",
      "    Solving:  Stress period:     6    Time step:    23\n",
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      "    Solving:  Stress period:     6    Time step:    25\n",
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      "    Solving:  Stress period:     7    Time step:     1\n",
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      "    Solving:  Stress period:     7    Time step:     3\n",
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      "    Solving:  Stress period:     7    Time step:    12\n",
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      "    Solving:  Stress period:     7    Time step:    16\n",
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      "    Solving:  Stress period:     7    Time step:    21\n",
      "    Solving:  Stress period:     7    Time step:    22\n",
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      "    Solving:  Stress period:     7    Time step:    30\n",
      "    Solving:  Stress period:     7    Time step:    31\n",
      "    Solving:  Stress period:     8    Time step:     1\n",
      "    Solving:  Stress period:     8    Time step:     2\n",
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      "    Solving:  Stress period:     8    Time step:     7\n",
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      "    Solving:  Stress period:     8    Time step:    10\n",
      "    Solving:  Stress period:     8    Time step:    11\n",
      "    Solving:  Stress period:     8    Time step:    12\n",
      "    Solving:  Stress period:     8    Time step:    13\n",
      "    Solving:  Stress period:     8    Time step:    14\n",
      "    Solving:  Stress period:     8    Time step:    15\n",
      "    Solving:  Stress period:     8    Time step:    16\n",
      "    Solving:  Stress period:     8    Time step:    17\n",
      "    Solving:  Stress period:     8    Time step:    18\n",
      "    Solving:  Stress period:     8    Time step:    19\n",
      "    Solving:  Stress period:     8    Time step:    20\n",
      "    Solving:  Stress period:     8    Time step:    21\n",
      "    Solving:  Stress period:     8    Time step:    22\n",
      "    Solving:  Stress period:     8    Time step:    23\n",
      "    Solving:  Stress period:     8    Time step:    24\n",
      "    Solving:  Stress period:     8    Time step:    25\n",
      "    Solving:  Stress period:     8    Time step:    26\n",
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      "    Solving:  Stress period:     8    Time step:    31\n",
      "    Solving:  Stress period:     9    Time step:     1\n",
      "    Solving:  Stress period:     9    Time step:     2\n",
      "    Solving:  Stress period:     9    Time step:     3\n",
      "    Solving:  Stress period:     9    Time step:     4\n",
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      "    Solving:  Stress period:     9    Time step:     8\n",
      "    Solving:  Stress period:     9    Time step:     9\n",
      "    Solving:  Stress period:     9    Time step:    10\n",
      "    Solving:  Stress period:     9    Time step:    11\n",
      "    Solving:  Stress period:     9    Time step:    12\n",
      "    Solving:  Stress period:     9    Time step:    13\n",
      "    Solving:  Stress period:     9    Time step:    14\n",
      "    Solving:  Stress period:     9    Time step:    15\n",
      "    Solving:  Stress period:     9    Time step:    16\n",
      "    Solving:  Stress period:     9    Time step:    17\n",
      "    Solving:  Stress period:     9    Time step:    18\n",
      "    Solving:  Stress period:     9    Time step:    19\n",
      "    Solving:  Stress period:     9    Time step:    20\n",
      "    Solving:  Stress period:     9    Time step:    21\n",
      "    Solving:  Stress period:     9    Time step:    22\n",
      "    Solving:  Stress period:     9    Time step:    23\n",
      "    Solving:  Stress period:     9    Time step:    24\n",
      "    Solving:  Stress period:     9    Time step:    25\n",
      "    Solving:  Stress period:     9    Time step:    26\n",
      "    Solving:  Stress period:     9    Time step:    27\n",
      "    Solving:  Stress period:     9    Time step:    28\n",
      "    Solving:  Stress period:     9    Time step:    29\n",
      "    Solving:  Stress period:     9    Time step:    30\n",
      "    Solving:  Stress period:    10    Time step:     1\n",
      "    Solving:  Stress period:    10    Time step:     2\n",
      "    Solving:  Stress period:    10    Time step:     3\n",
      "    Solving:  Stress period:    10    Time step:     4\n",
      "    Solving:  Stress period:    10    Time step:     5\n",
      "    Solving:  Stress period:    10    Time step:     6\n",
      "    Solving:  Stress period:    10    Time step:     7\n",
      "    Solving:  Stress period:    10    Time step:     8\n",
      "    Solving:  Stress period:    10    Time step:     9\n",
      "    Solving:  Stress period:    10    Time step:    10\n",
      "    Solving:  Stress period:    10    Time step:    11\n",
      "    Solving:  Stress period:    10    Time step:    12\n",
      "    Solving:  Stress period:    10    Time step:    13\n",
      "    Solving:  Stress period:    10    Time step:    14\n",
      "    Solving:  Stress period:    10    Time step:    15\n",
      "    Solving:  Stress period:    10    Time step:    16\n",
      "    Solving:  Stress period:    10    Time step:    17\n",
      "    Solving:  Stress period:    10    Time step:    18\n",
      "    Solving:  Stress period:    10    Time step:    19\n",
      "    Solving:  Stress period:    10    Time step:    20\n",
      "    Solving:  Stress period:    10    Time step:    21\n",
      "    Solving:  Stress period:    10    Time step:    22\n",
      "    Solving:  Stress period:    10    Time step:    23\n",
      "    Solving:  Stress period:    10    Time step:    24\n",
      "    Solving:  Stress period:    10    Time step:    25\n",
      "    Solving:  Stress period:    10    Time step:    26\n",
      "    Solving:  Stress period:    10    Time step:    27\n",
      "    Solving:  Stress period:    10    Time step:    28\n",
      "    Solving:  Stress period:    10    Time step:    29\n",
      "    Solving:  Stress period:    10    Time step:    30\n",
      "    Solving:  Stress period:    10    Time step:    31\n",
      "    Solving:  Stress period:    11    Time step:     1\n",
      "    Solving:  Stress period:    11    Time step:     2\n",
      "    Solving:  Stress period:    11    Time step:     3\n",
      "    Solving:  Stress period:    11    Time step:     4\n",
      "    Solving:  Stress period:    11    Time step:     5\n",
      "    Solving:  Stress period:    11    Time step:     6\n",
      "    Solving:  Stress period:    11    Time step:     7\n",
      "    Solving:  Stress period:    11    Time step:     8\n",
      "    Solving:  Stress period:    11    Time step:     9\n",
      "    Solving:  Stress period:    11    Time step:    10\n",
      "    Solving:  Stress period:    11    Time step:    11\n",
      "    Solving:  Stress period:    11    Time step:    12\n",
      "    Solving:  Stress period:    11    Time step:    13\n",
      "    Solving:  Stress period:    11    Time step:    14\n",
      "    Solving:  Stress period:    11    Time step:    15\n",
      "    Solving:  Stress period:    11    Time step:    16\n",
      "    Solving:  Stress period:    11    Time step:    17\n",
      "    Solving:  Stress period:    11    Time step:    18\n",
      "    Solving:  Stress period:    11    Time step:    19\n",
      "    Solving:  Stress period:    11    Time step:    20\n",
      "    Solving:  Stress period:    11    Time step:    21\n",
      "    Solving:  Stress period:    11    Time step:    22\n",
      "    Solving:  Stress period:    11    Time step:    23\n",
      "    Solving:  Stress period:    11    Time step:    24\n",
      "    Solving:  Stress period:    11    Time step:    25\n",
      "    Solving:  Stress period:    11    Time step:    26\n",
      "    Solving:  Stress period:    11    Time step:    27\n",
      "    Solving:  Stress period:    11    Time step:    28\n",
      "    Solving:  Stress period:    11    Time step:    29\n",
      "    Solving:  Stress period:    11    Time step:    30\n",
      "    Solving:  Stress period:    12    Time step:     1\n",
      "    Solving:  Stress period:    12    Time step:     2\n",
      "    Solving:  Stress period:    12    Time step:     3\n",
      "    Solving:  Stress period:    12    Time step:     4\n",
      "    Solving:  Stress period:    12    Time step:     5\n",
      "    Solving:  Stress period:    12    Time step:     6\n",
      "    Solving:  Stress period:    12    Time step:     7\n",
      "    Solving:  Stress period:    12    Time step:     8\n",
      "    Solving:  Stress period:    12    Time step:     9\n",
      "    Solving:  Stress period:    12    Time step:    10\n",
      "    Solving:  Stress period:    12    Time step:    11\n",
      "    Solving:  Stress period:    12    Time step:    12\n",
      "    Solving:  Stress period:    12    Time step:    13\n",
      "    Solving:  Stress period:    12    Time step:    14\n",
      "    Solving:  Stress period:    12    Time step:    15\n",
      "    Solving:  Stress period:    12    Time step:    16\n",
      "    Solving:  Stress period:    12    Time step:    17\n",
      "    Solving:  Stress period:    12    Time step:    18\n",
      "    Solving:  Stress period:    12    Time step:    19\n",
      "    Solving:  Stress period:    12    Time step:    20\n",
      "    Solving:  Stress period:    12    Time step:    21\n",
      "    Solving:  Stress period:    12    Time step:    22\n",
      "    Solving:  Stress period:    12    Time step:    23\n",
      "    Solving:  Stress period:    12    Time step:    24\n",
      "    Solving:  Stress period:    12    Time step:    25\n",
      "    Solving:  Stress period:    12    Time step:    26\n",
      "    Solving:  Stress period:    12    Time step:    27\n",
      "    Solving:  Stress period:    12    Time step:    28\n",
      "    Solving:  Stress period:    12    Time step:    29\n",
      "    Solving:  Stress period:    12    Time step:    30\n",
      "    Solving:  Stress period:    12    Time step:    31\n",
      " \n",
      " Run end date and time (yyyy/mm/dd hh:mm:ss): 2025/04/27 11:00:56\n",
      " Elapsed run time:  1 Minutes, 11.569 Seconds\n",
      " \n",
      " Normal termination of simulation.\n"
     ]
    }
   ],
   "source": [
    "sim.write_simulation()\n",
    "sim.run_simulation();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "81fd5949",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T16:00:56.308204Z",
     "iopub.status.busy": "2025-04-27T16:00:56.308120Z",
     "iopub.status.idle": "2025-04-27T16:00:56.461186Z",
     "shell.execute_reply": "2025-04-27T16:00:56.460883Z",
     "shell.execute_reply.started": "2025-04-27T16:00:56.308192Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hds = gwf.output.head()\n",
    "heads = hds.get_alldata()[-1]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "pmv = flopy.plot.PlotMapView(modelgrid=modelgrid, ax=ax)\n",
    "pc = pmv.plot_array(heads, cmap='viridis', masked_values=[1e30, -1e30])\n",
    "pmv.plot_grid(lw=0.5)\n",
    "pmv.plot_inactive()\n",
    "plt.colorbar(pc, shrink=0.7)\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "20c39c28",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-27T16:00:56.461844Z",
     "iopub.status.busy": "2025-04-27T16:00:56.461751Z",
     "iopub.status.idle": "2025-04-27T16:00:56.589827Z",
     "shell.execute_reply": "2025-04-27T16:00:56.589423Z",
     "shell.execute_reply.started": "2025-04-27T16:00:56.461835Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "ax.set_aspect(\"equal\")\n",
    "xc = flopy.plot.PlotCrossSection(modelgrid=modelgrid, ax=ax, line={\"row\": 36}, geographic_coords=True)\n",
    "pc = xc.plot_array(heads, cmap='plasma', head=heads, masked_values=[1e+30])\n",
    "xc.plot_grid(lw=0.5)\n",
    "xc.plot_inactive()\n",
    "plt.colorbar(pc, shrink=0.50)\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f2b7cc47",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}