examples/Notebooks/flopy3_uzf_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FloPy\n",
    "### UZF example\n",
    "Demonstrates functionality of the flopy UZF module using the example from [Niswonger and others (2006)](https://pubs.usgs.gov/tm/2006/tm6a19/). This is the same as the SFR example problem from Prudic and others (2004;\n",
    "p. 13–19), except the UZF package replaces the ET and RCH packages.\n",
    "\n",
    "#### Problem description:\n",
    "\n",
    "* Grid dimensions: 1 Layer, 15 Rows, 10 Columns  \n",
    "* Stress periods: 12  \n",
    "* Units are in seconds and days\n",
    "* Flow package: LPF  \n",
    "* Stress packages: SFR, GHB, UZF \n",
    "* Solver: SIP  \n",
    "\n",
    "<img src=\"./img/Niswonger2006_fig13.png\" width=\"400\" height=\"500\"/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:03.257933Z",
     "iopub.status.busy": "2022-12-15T13:22:03.256978Z",
     "iopub.status.idle": "2022-12-15T13:22:04.584720Z",
     "shell.execute_reply": "2022-12-15T13:22:04.580952Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.7.15 (default, Oct 18 2022, 09:36:49) \n",
      "[GCC 11.2.0]\n",
      "numpy version: 1.21.6\n",
      "matplotlib version: 3.5.3\n",
      "pandas version: 1.3.5\n",
      "flopy version: 3.3.6\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "import glob\n",
    "import shutil\n",
    "from tempfile import TemporaryDirectory\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "# run installed version of flopy or add local path\n",
    "try:\n",
    "    import flopy\n",
    "except:\n",
    "    fpth = os.path.abspath(os.path.join(\"..\", \"..\"))\n",
    "    sys.path.append(fpth)\n",
    "    import flopy\n",
    "\n",
    "print(sys.version)\n",
    "print(\"numpy version: {}\".format(np.__version__))\n",
    "print(\"matplotlib version: {}\".format(mpl.__version__))\n",
    "print(\"pandas version: {}\".format(pd.__version__))\n",
    "print(\"flopy version: {}\".format(flopy.__version__))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.639721Z",
     "iopub.status.busy": "2022-12-15T13:22:04.638586Z",
     "iopub.status.idle": "2022-12-15T13:22:04.644350Z",
     "shell.execute_reply": "2022-12-15T13:22:04.643112Z"
    }
   },
   "outputs": [],
   "source": [
    "# Set name of MODFLOW exe\n",
    "#  assumes executable is in users path statement\n",
    "exe_name = \"mf2005\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.649734Z",
     "iopub.status.busy": "2022-12-15T13:22:04.648792Z",
     "iopub.status.idle": "2022-12-15T13:22:04.657616Z",
     "shell.execute_reply": "2022-12-15T13:22:04.656489Z"
    }
   },
   "outputs": [],
   "source": [
    "temp_dir = TemporaryDirectory()\n",
    "path = temp_dir.name\n",
    "\n",
    "gpth = os.path.join(\"..\", \"data\", \"mf2005_test\", \"UZFtest2.*\")\n",
    "for f in glob.glob(gpth):\n",
    "    shutil.copy(f, path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load example dataset, skipping the UZF package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.662906Z",
     "iopub.status.busy": "2022-12-15T13:22:04.661660Z",
     "iopub.status.idle": "2022-12-15T13:22:04.695021Z",
     "shell.execute_reply": "2022-12-15T13:22:04.693915Z"
    }
   },
   "outputs": [],
   "source": [
    "m = flopy.modflow.Modflow.load(\n",
    "    \"UZFtest2.nam\",\n",
    "    version=\"mf2005\",\n",
    "    exe_name=exe_name,\n",
    "    model_ws=path,\n",
    "    load_only=[\"ghb\", \"dis\", \"bas6\", \"oc\", \"sip\", \"lpf\", \"sfr\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### remove previous uzf external file references \n",
    "(so they don't conflict with the ones made by flopy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.699214Z",
     "iopub.status.busy": "2022-12-15T13:22:04.698926Z",
     "iopub.status.idle": "2022-12-15T13:22:04.708088Z",
     "shell.execute_reply": "2022-12-15T13:22:04.707166Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/tmp/tmpgpg0qfkb/UZFtest2.uzfot',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.uzf1',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.uzf2',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.uzf3',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.uzf4',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg1',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg2',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg3',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg4',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg5',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg6',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg7',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg8',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2dv.sg9']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m.external_fnames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.713561Z",
     "iopub.status.busy": "2022-12-15T13:22:04.713179Z",
     "iopub.status.idle": "2022-12-15T13:22:04.717595Z",
     "shell.execute_reply": "2022-12-15T13:22:04.716643Z"
    }
   },
   "outputs": [],
   "source": [
    "rm = [True if \".uz\" in f else False for f in m.external_fnames]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.721304Z",
     "iopub.status.busy": "2022-12-15T13:22:04.721010Z",
     "iopub.status.idle": "2022-12-15T13:22:04.727671Z",
     "shell.execute_reply": "2022-12-15T13:22:04.726738Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/tmp/tmpgpg0qfkb/UZFtest2.sg1',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg2',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg3',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg4',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg5',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg6',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg7',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2.sg8',\n",
       " '/tmp/tmpgpg0qfkb/UZFtest2dv.sg9']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m.external_fnames = [f for i, f in enumerate(m.external_fnames) if not rm[i]]\n",
    "m.external_fnames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.732562Z",
     "iopub.status.busy": "2022-12-15T13:22:04.732194Z",
     "iopub.status.idle": "2022-12-15T13:22:04.737745Z",
     "shell.execute_reply": "2022-12-15T13:22:04.736801Z"
    }
   },
   "outputs": [],
   "source": [
    "m.external_binflag = [f for i, f in enumerate(m.external_binflag) if not rm[i]]\n",
    "m.external_output = [f for i, f in enumerate(m.external_output) if not rm[i]]\n",
    "m.external_units = [f for i, f in enumerate(m.external_output) if not rm[i]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `izufbnd` array  \n",
    "* in the example, the UZF package **izufbnd** array is the same as the ibound"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.742457Z",
     "iopub.status.busy": "2022-12-15T13:22:04.742128Z",
     "iopub.status.idle": "2022-12-15T13:22:04.956771Z",
     "shell.execute_reply": "2022-12-15T13:22:04.955481Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.add_subplot(1, 1, 1, aspect=\"equal\")\n",
    "mapview = flopy.plot.PlotMapView(model=m)\n",
    "quadmesh = mapview.plot_ibound()\n",
    "linecollection = mapview.plot_grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up the ```irunbnd``` array  \n",
    "* read this in from an external file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:04.961083Z",
     "iopub.status.busy": "2022-12-15T13:22:04.960762Z",
     "iopub.status.idle": "2022-12-15T13:22:05.280243Z",
     "shell.execute_reply": "2022-12-15T13:22:05.278945Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAAAfDLEBAGBhbiNK7iAPeQW7v/oQ+VcAAAAQYFSQAACwMEM2eYK8zN+4FL+L7d///rf+93//Vy1atFDDhg3VtWtX7dy50zxuGIamTJmiVq1aqWHDhkpLS9PHH3/sdY5vvvlGQ4cOldPpVLNmzTRixAgdP37cq80HH3ygm266SbGxsUpOTtbTTz9dI5YVK1aoY8eOio2NVdeuXbVu3bq6Xg4AAEANdUqQjh49qn79+ik6OlpvvPGGDhw4oFmzZql58+Zmm6efflrPPPOMFixYoG3btqlx48ZKT0/XqVOnzDZDhw7V/v37VVBQoDVr1mjLli165JFHzOPl5eXq37+/2rVrp6KiIv32t7/VtGnT9Ic//MFs89577+n+++/XiBEjtHv3bg0cOFADBw7Uvn37LuZ+AAAA1G2I7Te/+Y2Sk5O1ePFic19KSor5b8MwNHfuXE2ePFk/+MEPJEl//OMflZiYqFWrVum+++7Thx9+qPz8fO3YsUO9e/eWJD377LO666679Lvf/U6tW7fWX/7yF7lcLi1atEgOh0NdunTRnj17NHv2bDORmjdvnu68805NmDBBkvTkk0+qoKBAzz33nBYsWFCnm+ByueRyuer0nmCoHlNUdHiWK6vHRYz+qx6X3WaEMJKzqx4XMfov0mIMx9+NkndckRBjKDFJ2z91SpBef/11paena/Dgwdq8ebO+973v6Wc/+5lGjhwpSTp06JCKi4uVlpZmvicuLk59+vRRYWGh7rvvPhUWFqpZs2ZmciRJaWlpioqK0rZt2/TDH/5QhYWFuvnmm+VwOMw26enp+s1vfqOjR4+qefPmKiwsVE5Ojld86enpWrVq1Vnjr6ioUEVFhfm6vLxc0pkELTY2ti63Iuj6Tugc6hDOixgDI+3yE6EO4byIMTAiIcZZs2aFOoTzioQYEXnqlOJ99tlnmj9/vq688kqtX79eo0eP1s9//nMtXbpUklRcXCxJSkxM9HpfYmKieay4uFgJCQlexxs0aKD4+HivNrWdo3ofZ2tTdbw2ubm5iouLM7fk5OS6XD4AABHHY9hCskW6OlWQPB6PevfuraeeekqSdO2112rfvn1asGCBMjMz6yXAQJo0aZJX1am8vFzJycnKum+VWsaHMLCzcFXaNedPgyVJ44atkCM6/L7+r3qM2/M98oRfiIqyS9ffeeZvAWL0HzEGRvUY3/qssdxh+EFitxlmdSsSYhw/frzXiEO4cLlcmjFjRqjDgJ/qlCC1atVKnTt7D1F06tRJr776qiQpKSlJklRSUqJWrVqZbUpKStSjRw+zTWlpqdc5Tp8+rW+++cZ8f1JSkkpKSrzaVL0+X5uq47WJiYlRTExMjf2OaLcc0Wd9W1g4E2MY/ravxuNWWH4gVUeMgUGMgeE2bGGZfFQXCTE6HI6wTJDChVtRcgf5sYfB7q8+1OkK+vXrp4MHD3rt+/vf/6527dpJOjNhOykpSRs2bDCPl5eXa9u2bUpNTZUkpaam6tixYyoqKjLbbNy4UR6PR3369DHbbNmyRZWVlWabgoICXX311eaKudTUVK9+qtpU9QMAAOCvOiVI48aN09atW/XUU0/pk08+0bJly/SHP/xBWVlZkiSbzaaxY8fq17/+tV5//XXt3btXDzzwgFq3bq2BAwdKOlNxuvPOOzVy5Eht375d7777rrKzs3XfffepdevWkqSf/OQncjgcGjFihPbv36+XX35Z8+bN8xoee/TRR5Wfn69Zs2bpo48+0rRp07Rz505lZ2cH6NYAAIBLVZ2G2K677jqtXLlSkyZN0vTp05WSkqK5c+dq6NChZpvHHntMJ06c0COPPKJjx47pxhtvVH5+vtcqsb/85S/Kzs7WHXfcoaioKA0aNEjPPPOMeTwuLk5vvvmmsrKy1KtXL7Vs2VJTpkzxelbSDTfcoGXLlmny5Ml64okndOWVV2rVqlW65pprLuZ+AABgKaGYNH3JTdKWpLvvvlt33333WY/bbDZNnz5d06dPP2ub+Ph4LVu27Jz9dOvWTX/729/O2Wbw4MEaPHjwuQMGAACoI76LDQAAC/MoSp4gT5oOdn/1IfKvAAAAIMBIkAAAAHwwxAYAgIWF4llW4f7srAtBBQkAAMAHFSQAACyMZf7+oYIEAADggwoSAAAWZhhR8hjBrYcYQe6vPkT+FQAAAAQYCRIAAIAPhtgAALAwt2xyK8jL/IPcX32gggQAAOCDChIAABbmMYK/7N5jBLW7ekEFCQAAwAcJEgAAgA+G2AAAsDBPCJ6DFOz+6kPkXwEAAECAUUECAMDCPLLJE+Rl98Hurz5QQQIAAPBBBQkAAAtzGza5g7zMP9j91QcqSAAAAD5IkAAAAHwwxAYAgIWxzN8/kX8FAAAAAUYFCQAAC/PIFvzvYmOZPwAAgPWQIAEAAPhgiA0AAAszQvAkbYMhNgAAAOuhggQAgIV5jBBM0uZJ2gAAANZDBQkAAAvjQZH+ifwrAAAACDAqSJJclXa5KkMdRU2uSnut/w4n1eOKCs8QveIiRv8RY2BUj8tuM0IXyDlUjysSYnS5XCGM5OzCNS5cGJthGOH50x8E5eXliouL08SJExUbGxvqcAAAFnPq1CnNnDlTZWVlcjqdQe276jPuB28+pOjGjqD2XXnCpb/2XxSS6w4UhtgAAAB8MMQmKeu+VWoZH+ooanJV2jXnT4MlSeOGrZAj2h3iiGoixsCoHuP2fI884ReiouzS9Xee+ZuKGP1XPca3Pmssdxguh7bbDKVdfkKS9KrRRO4wfOifXYYG2Y5LCu8YM3Qq1GGc+S62IN8fK3wXGwmSJEe0W47oUEdxbmdiDMPf9tUQY2B43ArLD/bqiDEw3IYtLBOk6tyyhWXyUV0kxIjIwxAbAACADypIAABYGE/S9g8VJAAAAB9UkAAAsDAqSP6hggQAAELu3//+t/73f/9XLVq0UMOGDdW1a1ft3LkzZPFQQQIAACF19OhR9evXT7fddpveeOMNXXbZZfr444/VvHnzkMVEggQAgIVFwhDbb37zGyUnJ2vx4sXmvpSUlECHVScMsQEAgHpRXl7utVVUVNTa7vXXX1fv3r01ePBgJSQk6Nprr9ULL7wQ5Gi9kSABAGBhVRWkYG+SlJycrLi4OHPLzc2tNcbPPvtM8+fP15VXXqn169dr9OjR+vnPf66lS5cG81Z5YYgNAADUiyNHjnh9WW1MTEyt7Twej3r37q2nnnpKknTttddq3759WrBggTIzM4MSqy8SJAAALMxQ8L8bzfjP/zqdTq8E6WxatWqlzp07e+3r1KmTXn311XqI7sIwxAYAAEKqX79+OnjwoNe+v//972rXrl2IIiJBAgAAITZu3Dht3bpVTz31lD755BMtW7ZMf/jDH5SVlRWymBhiAwDAwiJhmf91112nlStXatKkSZo+fbpSUlI0d+5cDR06tJ4iPD8SJAAAEHJ333237r777lCHYSJBAgDAwiKhghSOmIMEAADggwQJAADAB0NsAABYGENs/qGCBAAA4IMKEgAAFkYFyT9UkAAAAHxQQQIAwMIMwyYjyBWdYPdXH6ggAQAA+CBBAgAA8MEQGwAAFuaRTR4FeZJ2kPurD1SQAAAAfFBBAgDAwljm7x8qSAAAAD5IkAAAAHwwxAYAgIXxHCT/UEECAADwQQUJAAALY5K2f+pUQZo2bZpsNpvX1rFjR/P4qVOnlJWVpRYtWqhJkyYaNGiQSkpKvM5x+PBhZWRkqFGjRkpISNCECRN0+vRprzabNm1Sz549FRMTow4dOmjJkiU1YsnLy1P79u0VGxurPn36aPv27XW5FAAAgLOq8xBbly5d9MUXX5jbO++8Yx4bN26cVq9erRUrVmjz5s36/PPPde+995rH3W63MjIy5HK59N5772np0qVasmSJpkyZYrY5dOiQMjIydNttt2nPnj0aO3asHn74Ya1fv95s8/LLLysnJ0dTp07Vrl271L17d6Wnp6u0tNTf+wAAgCVVzUEK9hbp6pwgNWjQQElJSebWsmVLSVJZWZkWLlyo2bNn6/bbb1evXr20ePFivffee9q6dask6c0339SBAwf05z//WT169NCAAQP05JNPKi8vTy6XS5K0YMECpaSkaNasWerUqZOys7P1ox/9SHPmzDFjmD17tkaOHKnhw4erc+fOWrBggRo1aqRFixYF4p4AAIBLXJ3nIH388cdq3bq1YmNjlZqaqtzcXLVt21ZFRUWqrKxUWlqa2bZjx45q27atCgsL1bdvXxUWFqpr165KTEw026Snp2v06NHav3+/rr32WhUWFnqdo6rN2LFjJUkul0tFRUWaNGmSeTwqKkppaWkqLCys6+WcOWelXa5Kv95ar1yV9lr/HU6IMTCqxxUVniF6xUWM/qsel91mhC6Qc6gel11hGqMiK0ZEnjolSH369NGSJUt09dVX64svvtCvfvUr3XTTTdq3b5+Ki4vlcDjUrFkzr/ckJiaquLhYklRcXOyVHFUdrzp2rjbl5eU6efKkjh49KrfbXWubjz766JzxV1RUqKKiwnxdXl4uScp7aaBiY2Mv8C6Expw/DQ51COdFjIFx/Z3hv7iUGAMj7fIToQ7hvAbZjoc6hPMK5xhPhToAnRliC/akaSsMsdUpQRowYID5727duqlPnz5q166dli9froYNGwY8uEDLzc3Vr371q1CHAQAAwtxFLfNv1qyZrrrqKn3yySf6/ve/L5fLpWPHjnlVkUpKSpSUlCRJSkpKqrHarGqVW/U2vivfSkpK5HQ61bBhQ9ntdtnt9lrbVJ3jbCZNmqScnBzzdXl5uZKTk5V13yq1jK/btQeDq9JuVjzGDVshR7Q7xBHVRIyBEWkxbs/3yBN+ISrK/t/KUSTE+KrRRO4w/NZzuwyzKkOM/rPLUEYY1JAMSUaQR/usMLh4UQnS8ePH9emnn2rYsGHq1auXoqOjtWHDBg0aNEiSdPDgQR0+fFipqamSpNTUVM2YMUOlpaVKSEiQJBUUFMjpdKpz585mm3Xr1nn1U1BQYJ7D4XCoV69e2rBhgwYOHChJ8ng82rBhg7Kzs88Zb0xMjGJiYmrsd0S75Yj2/z4Ew5kYw/C3fTXEGBiREKPHrbBMPqqLhBjdsoXlB3t1xIhLVZ0G6X/xi19o8+bN+sc//qH33ntPP/zhD2W323X//fcrLi5OI0aMUE5Ojt5++20VFRVp+PDhSk1NVd++fSVJ/fv3V+fOnTVs2DC9//77Wr9+vSZPnqysrCwzcRk1apQ+++wzPfbYY/roo4/0/PPPa/ny5Ro3bpwZR05Ojl544QUtXbpUH374oUaPHq0TJ05o+PDhAbw1AADgUlWnCtK//vUv3X///fr666912WWX6cYbb9TWrVt12WWXSZLmzJmjqKgoDRo0SBUVFUpPT9fzzz9vvt9ut2vNmjUaPXq0UlNT1bhxY2VmZmr69Olmm5SUFK1du1bjxo3TvHnz1KZNG7344otKT0832wwZMkRffvmlpkyZouLiYvXo0UP5+fk1Jm4DAHCp88gmW5ArbB4LVPTqlCC99NJL5zweGxurvLw85eXlnbVNu3btagyh+br11lu1e/fuc7bJzs4+75AaAACAP/guNgAALCwUT7a2wjL/8H9QCAAAQJBRQQIAwMI8hk22IFd0gv1gyvpABQkAAMAHCRIAAIAPhtgAALAwwwjBk7Qt8ChtKkgAAAA+qCABAGBhLPP3DxUkAAAAHyRIAAAAPhhiAwDAwhhi8w8VJAAAAB9UkAAAsDCepO0fKkgAAAA+qCABAGBhPCjSP1SQAAAAfJAgAQAA+GCIDQAACzszxBbsZf5B7a5eUEECAADwQQUJAAAL40GR/qGCBAAA4IMECQAAwAdDbAAAWJjxny3YfUY6KkgAAAA+qCABAGBhTNL2DxUkAAAAH1SQAACwMiYh+YUKEgAAgA8SJAAAAB8MsQEAYGUhmKQtJmkDAABYDxUkAAAszDDObMHuM9JRQQIAAPBBBUmSq9IuV2Woo6jJVWmv9d/hhBgDI9JijArPEL3iioQY7WG6Frp6XMTov3CNCxfGZhhWKIT5p7y8XHFxcZo4caJiY2NDHQ4AwGJOnTqlmTNnqqysTE6nM6h9V33GtV80WVGNgvsZ5/nulP7x0K9Dct2BwhAbAACAD4bYJGXdt0ot40MdRU2uSrvm/GmwJGncsBVyRLtDHFFNxBgYkRbj9nyPPOEXoqLs0vV3nvm77/+So3U6KvyWGjfwGLr/yJkxfWL0X/UYx48fL4fDEeKIanK5XJoxY0aowziz5J5l/nVGgiTJEe2WIzrUUZzbmRjD8BOpGmIMjEiI0eNWWCZI1Z2OsoXlB3t1xBgYDocjLBMkRDaG2AAAAHxQQQIAwMJ4DpJ/qCABAAD4oIIEAICVGf/Zgt1nhKOCBAAA4IMKEgAAFmYYNhlBXnYf7P7qAxUkAAAAHyRIAAAAPhhiAwDA6iwwaTrYqCABAAD4IEECAMDCqiZpB3uri2nTpslms3ltHTt2rKc7cmEYYgMAACHXpUsXvfXWW+brBg1Cm6KQIAEAgJBr0KCBkpKSQh2GiSE2AACszAjRJqm8vNxrq6ioOGuYH3/8sVq3bq3LL79cQ4cO1eHDhy/o8g4fPiyjli9/Mwzjgs9RGxIkAABQL5KTkxUXF2duubm5tbbr06ePlixZovz8fM2fP1+HDh3STTfdpG+//fa8faSkpOjLL7+ssf+bb75RSkqK37EzxAYAgKXZ/rMFu0/pyJEjcjqd5t6YmJhaWw8YMMD8d7du3dSnTx+1a9dOy5cv14gRI87Zk2EYstlqXt/x48cVGxvrT/CSSJAAAEA9cTqdXgnShWrWrJmuuuoqffLJJ2dtk5OTI0my2Wz65S9/qUaNGpnH3G63tm3bph49etS57yokSAAAWFm1OUFB7fMiHD9+XJ9++qmGDRt21ja7d+8+05VhaO/evXI4HOYxh8Oh7t276xe/+IXfMZAgAQCAkPrFL36he+65R+3atdPnn3+uqVOnym636/777z/re95++21J0vDhwzVv3jy/KlXnQoIEAABC6l//+pfuv/9+ff3117rssst04403auvWrbrsssvO+97FixfXS0wkSAAAWFkEDLG99NJLfnd14sQJzZw5Uxs2bFBpaak8Ho/X8c8++8yv85IgAQCAiPXwww9r8+bNGjZsmFq1alXrijZ/kCABAGBlhu3MFuw+g+SNN97Q2rVr1a9fv4CelwdFAgCAiNW8eXPFx8cH/LwkSAAAIGI9+eSTmjJlir777ruAnpchNgAALMwwzmzB7jNYZs2apU8//VSJiYlq3769oqOjvY7v2rXLr/OSIAEAgIg1cODAejkvCRIAAFYWAcv8L8bUqVPr5bzMQQIAABHt2LFjevHFFzVp0iR98803ks4Mrf373//2+5xUkAAAsDKLL/P/4IMPlJaWpri4OP3jH//QyJEjFR8fr9dee02HDx/WH//4R7/OSwUJAABErJycHD344IP6+OOPFRsba+6/6667tGXLFr/PS4IEAAAi1o4dO/TTn/60xv7vfe97Ki4u9vu8DLEBAGBhNuPMFuw+gyUmJkbl5eU19v/973+/oC+7PZuLqiDNnDlTNptNY8eONfedOnVKWVlZatGihZo0aaJBgwappKTE632HDx9WRkaGGjVqpISEBE2YMEGnT5/2arNp0yb17NlTMTEx6tChg5YsWVKj/7y8PLVv316xsbHq06ePtm/ffjGXAwAAIsz//M//aPr06aqsrJQk2Ww2HT58WI8//rgGDRrk93n9TpB27Nih3//+9+rWrZvX/nHjxmn16tVasWKFNm/erM8//1z33nuvedztdisjI0Mul0vvvfeeli5dqiVLlmjKlClmm0OHDikjI0O33Xab9uzZo7Fjx+rhhx/W+vXrzTYvv/yycnJyNHXqVO3atUvdu3dXenq6SktL/b0kAACsxwjRFiSzZs3S8ePHlZCQoJMnT+qWW25Rhw4d1LRpU82YMcPv8/qVIB0/flxDhw7VCy+8oObNm5v7y8rKtHDhQs2ePVu33367evXqpcWLF+u9997T1q1bJUlvvvmmDhw4oD//+c/q0aOHBgwYoCeffFJ5eXlyuVySpAULFiglJUWzZs1Sp06dlJ2drR/96EeaM2eO2dfs2bM1cuRIDR8+XJ07d9aCBQvUqFEjLVq0yO+bAQAAIktcXJwKCgq0evVqPfPMM8rOzta6deu0efNmNW7c2O/z+jUHKSsrSxkZGUpLS9Ovf/1rc39RUZEqKyuVlpZm7uvYsaPatm2rwsJC9e3bV4WFheratasSExPNNunp6Ro9erT279+va6+9VoWFhV7nqGpTNZTncrlUVFSkSZMmmcejoqKUlpamwsLCOl+Pq9IuV2Wd31bvXJX2Wv8dTogxMCItxqjwDNErrgaeYD8Z78JUj4sY/Vc9rqo/rsNNuMZlVTfeeKNuvPHGgJ2vzgnSSy+9pF27dmnHjh01jhUXF8vhcKhZs2Ze+xMTE82Z5MXFxV7JUdXxqmPnalNeXq6TJ0/q6NGjcrvdtbb56KOPzhp7RUWFKioqzNdVk7ryXhrotTQwHM350+BQh3BexBgYkRDj9XeG/wLY+4+E4V89PogxMGbNmhXqEMKbxZ+DJJ2Z9vP222+rtLRUHo/H69js2bP9OmedEqQjR47o0UcfVUFBQdgnFLXJzc3Vr371q1CHAQAAAuSpp57S5MmTdfXVVysxMVE223+Ts+r/rqs6JUhFRUUqLS1Vz549zX1ut1tbtmzRc889p/Xr18vlcunYsWNeVaSSkhIlJSVJkpKSkmqsNqta5Va9je/Kt5KSEjmdTjVs2FB2u112u73WNlXnqM2kSZOUk5Njvi4vL1dycrLGjBmjli1b1uFOBIfL5TL/Mho3bIUc0e4QR1STq9JuVjyI0X+RFuP2fI884Reiouz/rW79X3K0TkcF+a/mC9DAY5hVGWL0X/UYx48fL4fDEeKIanK5XBc1SThgLP5dbPPmzdOiRYv04IMPBvS8dUqQ7rjjDu3du9dr3/Dhw9WxY0c9/vjjSk5OVnR0tDZs2GAurTt48KAOHz6s1NRUSVJqaqpmzJih0tJSJSQkSJIKCgrkdDrVuXNns826deu8+ikoKDDP4XA41KtXL23YsMH8Fl+Px6MNGzYoOzv7rPHHxMQoJiamxn6HwxGW/3FV54h2h+WHZnXEGBiREKPHrbBMkKo7HWULyw/26ogxMCLhdzjqT1RUlPr16xfw89YpQWratKmuueYar32NGzdWixYtzP0jRoxQTk6O4uPj5XQ6NWbMGKWmpqpv376SpP79+6tz584aNmyYnn76aRUXF2vy5MnKysoyk5dRo0bpueee02OPPaaHHnpIGzdu1PLly7V27Vqz35ycHGVmZqp37966/vrrNXfuXJ04cULDhw+/qBsCAIClWLyCNG7cOOXl5Wnu3LkBPW/An6Q9Z84cRUVFadCgQaqoqFB6erqef/5587jdbteaNWs0evRopaamqnHjxsrMzNT06dPNNikpKVq7dq3GjRunefPmqU2bNnrxxReVnp5uthkyZIi+/PJLTZkyRcXFxerRo4fy8/NrTNwGAADW9Ytf/EIZGRm64oor1LlzZ0VHR3sdf+211/w670UnSJs2bfJ6HRsbq7y8POXl5Z31Pe3atasxhObr1ltv1e7du8/ZJjs7+5xDagAAwNp+/vOf6+2339Ztt92mFi1aXNTE7Or4LjYAAKzM4kNsS5cu1auvvqqMjIyAnjf8H2YCAABwFvHx8briiisCfl4SJAAArKzqQZHB3oJk2rRpmjp1qr777ruAnpchNgAAELGeeeYZffrpp0pMTFT79u1rTNLetWuXX+clQQIAABGr6nmIgUaCBACAhdmMM1uw+wyWqVOn1st5mYMEAADggwoSAABWZvFl/s2bN6/12Uc2m02xsbHq0KGDHnzwwTp/0wYJEgAAiFhTpkzRjBkzNGDAAF1//fWSpO3btys/P19ZWVk6dOiQRo8erdOnT2vkyJEXfF4SJAAAELHeeecd/frXv9aoUaO89v/+97/Xm2++qVdffVXdunXTM888U6cEiTlIAAAgYq1fv15paWk19t9xxx1av369JOmuu+7SZ599VqfzkiABAICIFR8fr9WrV9fYv3r1asXHx0uSTpw4oaZNm9bpvAyxAQBgYTaFYJl/EPv65S9/qdGjR+vtt9825yDt2LFD69at04IFCyRJBQUFuuWWW+p0XhIkAAAQsUaOHKnOnTvrueee02uvvSZJuvrqq7V582bdcMMNkqTx48fX+bwkSAAAWFmQvxvN7DOI+vXrp379+gX0nMxBAgAAEe3TTz/V5MmT9ZOf/ESlpaWSpDfeeEP79+/3+5wkSAAAIGJt3rxZXbt21bZt2/Tqq6/q+PHjkqT333//or6GhAQJAAArM0K0BcnEiRP161//WgUFBXI4HOb+22+/XVu3bvX7vCRIAAAgYu3du1c//OEPa+xPSEjQV1995fd5SZAAALAyi1eQmjVrpi+++KLG/t27d+t73/ue3+clQQIAABHrvvvu0+OPP67i4mLZbDZ5PB69++67+sUvfqEHHnjA7/OSIAEAYGE2IzRbsDz11FPq2LGjkpOTdfz4cXXu3Fk333yzbrjhBk2ePNnv8/IcJAAAELEcDodeeOEFTZkyRXv37tXx48d17bXX6sorr7yo85IgAQCAiJecnKzk5GS53W7t3btXR48eVfPmzf0+H0NsAABYmcUnaY8dO1YLFy6UJLndbt1yyy3q2bOnkpOTtWnTJr/PS4IEAAAi1iuvvKLu3btLklavXq3PPvtMH330kcaNG6f/9//+n9/nJUECAMDKLF5B+uqrr5SUlCRJWrdunX784x/rqquu0kMPPaS9e/f6fV4SJAAAELESExN14MABud1u5efn6/vf/74k6bvvvpPdbvf7vEzSBgAAEWv48OH68Y9/rFatWslmsyktLU2StG3bNnXs2NHv85IgAQBgYcF+LlFVn8Eybdo0XXPNNTpy5IgGDx6smJgYSZLdbtfEiRP9Pi8JEgAAiGg/+tGPauzLzMy8qHOSIAEAYGWG7cwW7D4jHJO0AQAAfFBBkuRyueRyuUIdRg3VY3JV+j8Tvz5Vj4sY/RdpMUaFZ4hecTXwBHnSxQWqHhcx+q96XOH4+1sK37hwYWyGYYTnT38QlJeXKy4uThMnTlRsbGyowwEAWMypU6c0c+ZMlZWVyel0BrXvqs+4lGlPKSrIn3GeU6d0aNoTIbnuQGGIDQAAWM6uXbt09913+/1+htgkjRkzRi1btgx1GDW4XC7NmjVLkjRu2Ao5ot0hjqgmV6Vdc/40WBIxXoxIi3FXv6/lCcNhtii31PPdFpKI8WJEWozjx4+Xw+EIcUQ1uVwuzZgxI9RhWHqZ//r161VQUCCHw6GHH35Yl19+uT766CNNnDhRq1evVnp6ut/nJkGS5HA4wvI/ruoc0e6w/NCsjhgDIxJi9NgVlh+a1RFjYERCjJHwOxyBt3DhQo0cOVLx8fE6evSoXnzxRc2ePVtjxozRkCFDtG/fPnXq1Mnv8zPEBgCAlVn0u9jmzZun3/zmN/rqq6+0fPlyffXVV3r++ee1d+9eLViw4KKSI4kECQAARKBPP/1UgwefGfa/99571aBBA/32t79VmzZtAnJ+EiQAABBxTp48qUaNGkmSbDabYmJi1KpVq4CdnzlIAABYWQgmaQdjiE2SXnzxRTVp0kSSdPr0aS1ZsqTGoquf//znfp2bBAkAAESctm3b6oUXXjBfJyUl6U9/+pNXG5vNRoIEAABqEaRJ0zX6rGf/+Mc/6vX8zEECAADwQYIEAAAiTtu2bfX111+br5977jmVl5cH7PwkSAAAWJlFn4P0r3/9S273fx+q+8QTT+irr74K2PlJkAAAQMQzjMBmZUzSBgDAwqz8XWz1iQQJAABEJJ6DBAAAUA3PQQIAAPDBc5AAAACCjAQJAAArs+gy/8LCQq1Zs8Zr3x//+EelpKQoISFBjzzyiCoqKvw+PwkSAAAIGzNnzpTNZtPYsWPP2W769Onav3+/+Xrv3r0aMWKE0tLSNHHiRK1evVq5ubl+x0GCBACAhVUt8w/25o8dO3bo97//vbp163betnv27NEdd9xhvn7ppZfUp08fvfDCC8rJydEzzzyj5cuX+xeISJAAAEAYOH78uIYOHaoXXnhBzZs3P2/7o0ePKjEx0Xy9efNmDRgwwHx93XXX6ciRI37HQ4IEAADqRXl5udd2rjlBWVlZysjIUFpa2gWdOzExUYcOHZIkuVwu7dq1S3379jWPf/vtt4qOjvY7dhIkAACsLkQTtJOTkxUXF2duZ5sT9NJLL2nXrl11mjN01113aeLEifrb3/6mSZMmqVGjRrrpppvM4x988IGuuOKKCz6fL56DBAAA6sWRI0fkdDrN1zExMbW2efTRR1VQUKDY2NgLPveTTz6pe++9V7fccouaNGmipUuXyuFwmMcXLVqk/v37+x07CRIAAFYWpGX3NfqU5HQ6vRKk2hQVFam0tFQ9e/Y097ndbm3ZskXPPfecKioqZLfba7yvZcuW2rJli8rKytSkSZMabVasWGF+DYk/SJAAAEDI3HHHHdq7d6/XvuHDh6tjx456/PHHa02OqouLi6t1f3x8/EXFRYIEAICFXcyy+4vp80I1bdpU11xzjde+xo0bq0WLFjX2BxOTtAEAAHxQQQIAAGFl06ZNoQ6BBAkAAEsL4STtSMYQGwAAgA8qSAAAWFi4T9IOV1SQAAAAfJAgAQAA+GCIDQAAK2OStl+oIAEAAPioU4I0f/58devWzfxuldTUVL3xxhvm8VOnTikrK0stWrRQkyZNNGjQIJWUlHid4/Dhw8rIyFCjRo2UkJCgCRMm6PTp015tNm3apJ49eyomJkYdOnTQkiVLasSSl5en9u3bKzY2Vn369NH27dvrcikAAFwajBBtEa5OCVKbNm00c+ZMFRUVaefOnbr99tv1gx/8QPv375ckjRs3TqtXr9aKFSu0efNmff7557r33nvN97vdbmVkZMjlcum9997T0qVLtWTJEk2ZMsVsc+jQIWVkZOi2227Tnj17NHbsWD388MNav3692ebll19WTk6Opk6dql27dql79+5KT09XaWnpxd4PAACAus1Buueee7xez5gxQ/Pnz9fWrVvVpk0bLVy4UMuWLdPtt98uSVq8eLE6deqkrVu3qm/fvnrzzTd14MABvfXWW0pMTFSPHj305JNP6vHHH9e0adPkcDi0YMECpaSkaNasWZKkTp066Z133tGcOXOUnp4uSZo9e7ZGjhyp4cOHS5IWLFigtWvXatGiRZo4cWKdb4LL5ZLL5arz++pb9Zhclef+sr5QqR4XMfov0mKMcocwkHOoHhcx+i/SYgzH399S+MTFMn//+D1J2+12a8WKFTpx4oRSU1NVVFSkyspKpaWlmW06duyotm3bqrCwUH379lVhYaG6du2qxMREs016erpGjx6t/fv369prr1VhYaHXOarajB07VtKZH7iioiJNmjTJPB4VFaW0tDQVFhaeM+aKigpVVFSYr8vLyyVJzz77rGJjY/29FUEx50+DQx3CeRFjYERCjD3fbRHqEM6LGAMjEmKs+oMaCKQ6T9Leu3evmjRpopiYGI0aNUorV65U586dVVxcLIfDoWbNmnm1T0xMVHFxsSSpuLjYKzmqOl517FxtysvLdfLkSX311Vdyu921tqk6x9nk5uYqLi7O3JKTk+t6+QAA4BJQ5wrS1VdfrT179qisrEyvvPKKMjMztXnz5vqILeAmTZqknJwc83V5ebmSk5M1ZswYtWzZMoSR1c7lcpl/GY0btkKO6PCrdbsq7WbFgxj9F2kx7ur3tTxhOBIY5f5vxYMY/UeMgRHlljpvaBzqMFjm76c6J0gOh0MdOnSQJPXq1Us7duzQvHnzNGTIELlcLh07dsyrilRSUqKkpCRJUlJSUo3VZlWr3Kq38V35VlJSIqfTqYYNG8put8tut9fapuocZxMTE6OYmJhar8nhcFzA1YeOI9odlh+a1RFjYERCjB67wvIDqTpiDAxixKXqop+D5PF4VFFRoV69eik6OlobNmwwjx08eFCHDx9WamqqJCk1NVV79+71Wm1WUFAgp9Opzp07m22qn6OqTdU5HA6HevXq5dXG4/Fow4YNZhsAAPAfLPP3S50qSJMmTdKAAQPUtm1bffvtt1q2bJk2bdqk9evXKy4uTiNGjFBOTo7i4+PldDo1ZswYpaamqm/fvpKk/v37q3Pnzho2bJiefvppFRcXa/LkycrKyjIrO6NGjdJzzz2nxx57TA899JA2btyo5cuXa+3atWYcOTk5yszMVO/evXX99ddr7ty5OnHihLmqDQAA4GLUKUEqLS3VAw88oC+++EJxcXHq1q2b1q9fr+9///uSpDlz5igqKkqDBg1SRUWF0tPT9fzzz5vvt9vtWrNmjUaPHq3U1FQ1btxYmZmZmj59utkmJSVFa9eu1bhx4zRv3jy1adNGL774ornEX5KGDBmiL7/8UlOmTFFxcbF69Oih/Pz8GhO3AQAA/FGnBGnhwoXnPB4bG6u8vDzl5eWdtU27du20bt26c57n1ltv1e7du8/ZJjs7W9nZ2edsAwDApY7nIPmH72IDAADw4feDIgEAQARgmb9fqCABAAD4oIIEAICFMQfJP1SQAAAAfJAgAQAA+GCIDQAAK2OStl+oIAEAAPigggQAgJVRQfILFSQAAAAfJEgAAAA+GGIDAMDCbP/Zgt1npKOCBAAA4IMKEgAAVsYkbb9QQQIAAPBBBQkAAAvju9j8QwUJAADABwkSAACAD4bYAACwMiZp+4UKEgAAgA8qSAAAWJ0FKjrBRgUJAADABwkSAACAD4bYAACwMJ6D5B8qSAAAAD6oIAEAYGUs8/cLFSQAAAAfJEgAAAA+GGIDAMDCmKTtHypIAAAAPqggAQBgZUzS9gsVJAAAAB9UkCS5XC65XK5Qh1FD9ZhclfYQRnJ21eMiRv9FWoxR7hAGcg7V4yJG/xFjYIRLXMxB8o/NMAwLXIZ/ysvLFRcXp4kTJyo2NjbU4QAALObUqVOaOXOmysrK5HQ6g9p31Wdct4eekt0R3M84t+uUPlj0REiuO1AYYgMAAPDBEJukMWPGqGXLlqEOowaXy6VZs2ZJksYNWyFHdJjUa6txVdo150+DJRHjxSDGwKge465+X8sThqOVUW6p57stJEVGjG3u3aioBp4QR1ST53SU/vXa7ZKk8ePHy+FwhDiimlwul2bMmBHqMJik7ScSJEkOhyMs/+OqzhHtDssPpOqIMTCIMTA8doVl8lFdJMQY1cCjqAbh/f91JPwOR+QhQQIAwMqoIPmFOUgAAAA+SJAAAAB8MMQGAICF8Rwk/1BBAgAA8EEFCQAAK2OStl+oIAEAAPigggQAgIXZDEO2IH+rWLD7qw9UkAAAAHyQIAEAAPhgiA0AACtjkrZfqCABAAD4oIIEAICF8aBI/1BBAgAA8EGCBAAA4IMhNgAArIxJ2n6hggQAAOCDChIAABbGJG3/UEECAADwQQUJAAArYw6SX6ggAQAA+CBBAgAA8EGCBACAhVVN0g72Vhfz589Xt27d5HQ65XQ6lZqaqjfeeKN+bsgFIkECAAAh1aZNG82cOVNFRUXauXOnbr/9dv3gBz/Q/v37QxYTk7QBALCyCJikfc8993i9njFjhubPn6+tW7eqS5cuAQzswpEgAQCAelFeXu71OiYmRjExMed8j9vt1ooVK3TixAmlpqbWZ3jnxBAbAACoF8nJyYqLizO33Nzcs7bdu3evmjRpopiYGI0aNUorV65U586dgxitNypIAABYXKiebH3kyBE5nU7z9bmqR1dffbX27NmjsrIyvfLKK8rMzNTmzZtDliSRIAEAgHpRtSrtQjgcDnXo0EGS1KtXL+3YsUPz5s3T73//+/oM8axIkAAAsDLDOLMFu8+L5PF4VFFREYBg/EOCBAAAQmrSpEkaMGCA2rZtq2+//VbLli3Tpk2btH79+pDFRIIEAICF+fPgxkD0WRelpaV64IEH9MUXXyguLk7dunXT+vXr9f3vf79+ArwAJEgAACCkFi5cGOoQamCZPwAAgI86JUi5ubm67rrr1LRpUyUkJGjgwIE6ePCgV5tTp04pKytLLVq0UJMmTTRo0CCVlJR4tTl8+LAyMjLUqFEjJSQkaMKECTp9+rRXm02bNqlnz56KiYlRhw4dtGTJkhrx5OXlqX379oqNjVWfPn20ffv2ulwOAADWZ4Roi3B1SpA2b96srKwsbd26VQUFBaqsrFT//v114sQJs824ceO0evVqrVixQps3b9bnn3+ue++91zzudruVkZEhl8ul9957T0uXLtWSJUs0ZcoUs82hQ4eUkZGh2267TXv27NHYsWP18MMPe03Wevnll5WTk6OpU6dq165d6t69u9LT01VaWnox9wMAAKBuc5Dy8/O9Xi9ZskQJCQkqKirSzTffrLKyMi1cuFDLli3T7bffLklavHixOnXqpK1bt6pv37568803deDAAb311ltKTExUjx499OSTT+rxxx/XtGnT5HA4tGDBAqWkpGjWrFmSpE6dOumdd97RnDlzlJ6eLkmaPXu2Ro4cqeHDh0uSFixYoLVr12rRokWaOHFinW6Cy+WSy+Wq03uCoXpMrkp7CCM5u+pxEaP/iDEwqscV5Q5hIOdQPa5IiNFzOjxnYlSPKxx/f0vhE5fNc2YLdp+R7qImaZeVlUmS4uPjJUlFRUWqrKxUWlqa2aZjx45q27atCgsL1bdvXxUWFqpr165KTEw026Snp2v06NHav3+/rr32WhUWFnqdo6rN2LFjJZ35oSsqKtKkSZPM41FRUUpLS1NhYeFZ462oqPB6pkLVd8Q8++yzio2N9fMuBMecPw0OdQjnRYyBQYyB0fPdFqEO4bwiIcZ/vXZ7qEM4r6o/poFA8vtPA4/Ho7Fjx6pfv3665pprJEnFxcVyOBxq1qyZV9vExEQVFxebbaonR1XHq46dq015eblOnjypr776Sm63u9Y2VeeoTW5urtd3wiQnJ9f9wgEAgOX5XUHKysrSvn379M477wQynno1adIk5eTkmK/Ly8uVnJysrPtWqWV8CAM7C1el3fxLfdywFXJEh189nhgDgxgDo3qMu/p9LU8YjgRGuf9bOWpz70ZFNQi/sQjP6SizchQJMY4fP14OhyPEEdXkcrk0Y8aMUIcRmknTFpik7VeClJ2drTVr1mjLli1q06aNuT8pKUkul0vHjh3zqiKVlJQoKSnJbOO72qxqlVv1Nr4r30pKSuR0OtWwYUPZ7XbZ7fZa21SdozYxMTG1flGeI9otR/QFXHgInYkx/D6QqiPGwCDGwPDYFZYJUnVRDTyKahDe9zESYnQ4HGGZICGy1WmIzTAMZWdna+XKldq4caNSUlK8jvfq1UvR0dHasGGDue/gwYM6fPiwUlNTJUmpqanau3ev12qzgoICOZ1O8xt7U1NTvc5R1abqHA6HQ7169fJq4/F4tGHDBrMNAAD475O0g71FujpVkLKysrRs2TL99a9/VdOmTc35PnFxcWrYsKHi4uI0YsQI5eTkKD4+Xk6nU2PGjFFqaqr69u0rSerfv786d+6sYcOG6emnn1ZxcbEmT56srKwss7ozatQoPffcc3rsscf00EMPaePGjVq+fLnWrl1rxpKTk6PMzEz17t1b119/vebOnasTJ06Yq9oAAAD8VacEaf78+ZKkW2+91Wv/4sWL9eCDD0qS5syZo6ioKA0aNEgVFRVKT0/X888/b7a12+1as2aNRo8erdTUVDVu3FiZmZmaPn262SYlJUVr167VuHHjNG/ePLVp00YvvviiucRfkoYMGaIvv/xSU6ZMUXFxsXr06KH8/PwaE7cBALikGcaZLdh9Rrg6JUjGBVxwbGys8vLylJeXd9Y27dq107p16855nltvvVW7d+8+Z5vs7GxlZ2efNyYAAIC6CM8ngAEAAITQRT0oEgAAhLdQTJq2wiRtKkgAAAA+qCABAGBlPCjSL1SQAAAAfJAgAQAA+GCIDQAAC2OStn+oIAEAAPigggQAgJXxJG2/UEECAADwQQUJAAALYw6Sf6ggAQAA+CBBAgAA8MEQGwAAVsaTtP1CBQkAAMAHFSQAACyMSdr+oYIEAADggwQJAADAB0NsAABYmcc4swW7zwhHBQkAAMAHFSQAAKyMZf5+oYIEAADggwQJAADAB0NsAABYmE0heA5ScLurF1SQAAAAfFBBAgDAygzjzBbsPiMcFSQAAAAfVJAAALAwvovNP1SQAAAAfJAgAQAA+GCIDQAAK+NJ2n6hggQAAOCDCpIkV6VdrspQR1GTq9Je67/DCTEGBjEGRvW4otwhDOQcqsflOR2ef6NWjysSYnS5XCGM5OzCJS6bYcgW5GX3we6vPtgMwwJX4afy8nLFxcVp4sSJio2NDXU4AACLOXXqlGbOnKmysjI5nc6g9l31GXfTrVPVoEFwP+NOnz6lv236VUiuO1DC808DAACAEGKITVLWfavUMj7UUdTkqrRrzp8GS5LGDVshR3T4jRkQY2AQY2BUj7HNvRsV1cAT4ohq8pyO0r9eu10SMV6M6jGOHz9eDocjxBHV5HK5NGPGjFCHIXn+swW7zwhHgiTJEe2WIzrUUZzbmRjD7wOpOmIMDGIMjKgGHkU1IMaLFQkxOhyOsEyQENlIkAAAsDAmafuHOUgAAAA+qCABAGBlPCjSL1SQAAAAfJAgAQAA+GCIDQAAKzOMM1uw+4xwVJAAAAB8UEECAMDCbMaZLdh9RjoqSAAAAD5IkAAAAHwwxAYAgJUxSdsvVJAAAAB8UEECAMDCbJ4zW7D7jHRUkAAAAHxQQQIAwMqYg+QXKkgAAAA+SJAAAAB8MMQGAICVGf/Zgt1nhKOCBAAA4IMKEgAAFmYzDNmCPGk62P3VBypIAAAAPkiQAAAAfDDEBgCAlfEcJL9QQQIAAPBBBQkAACszJAX7u9Eiv4BEBQkAAMAXFSQAACyMZf7+oYIEAADggwQJAACEVG5urq677jo1bdpUCQkJGjhwoA4ePBjSmEiQAACwMkP/XeoftK1uIW7evFlZWVnaunWrCgoKVFlZqf79++vEiRP1cksuBHOQAABASOXn53u9XrJkiRISElRUVKSbb745JDGRIAEAYGUhfFBkeXm51+6YmBjFxMSc9+1lZWWSpPj4+MDHdoEYYgMAAPUiOTlZcXFx5pabm3ve93g8Ho0dO1b9+vXTNddcE4Qoa0cFCQAA1IsjR47I6XSary+kepSVlaV9+/bpnXfeqc/QzqvOFaQtW7bonnvuUevWrWWz2bRq1Sqv44ZhaMqUKWrVqpUaNmyotLQ0ffzxx15tvvnmGw0dOlROp1PNmjXTiBEjdPz4ca82H3zwgW666SbFxsYqOTlZTz/9dI1YVqxYoY4dOyo2NlZdu3bVunXr6no5AABYmydEmySn0+m1nS9Bys7O1po1a/T222+rTZs2gbl+P9U5QTpx4oS6d++uvLy8Wo8//fTTeuaZZ7RgwQJt27ZNjRs3Vnp6uk6dOmW2GTp0qPbv36+CggKtWbNGW7Zs0SOPPGIeLy8vV//+/dWuXTsVFRXpt7/9raZNm6Y//OEPZpv33ntP999/v0aMGKHdu3dr4MCBGjhwoPbt21fXSwIAACFkGIays7O1cuVKbdy4USkpKaEOqe5DbAMGDNCAAQNqPWYYhubOnavJkyfrBz/4gSTpj3/8oxITE7Vq1Srdd999+vDDD5Wfn68dO3aod+/ekqRnn31Wd911l373u9+pdevW+stf/iKXy6VFixbJ4XCoS5cu2rNnj2bPnm0mUvPmzdOdd96pCRMmSJKefPJJFRQU6LnnntOCBQvqdE2uSrtclXW9E/XPVWmv9d/hhBgDgxgDo3pcntPhOcWyelzE6L/qcblcrhBGcnbhElckPEk7KytLy5Yt01//+lc1bdpUxcXFkqS4uDg1bNiwPkI8L5th+H/XbDabVq5cqYEDB0qSPvvsM11xxRXavXu3evToYba75ZZb1KNHD82bN0+LFi3S+PHjdfToUfP46dOnFRsbqxUrVuiHP/yhHnjgAZWXl3sN37399tu6/fbb9c0336h58+Zq27atcnJyNHbsWLPN1KlTtWrVKr3//vu1xltRUaGKigrzdXl5uZKTkzVx4kTFxsb6exsAAKjVqVOnNHPmTJWVlXnNxQmG8vJyxcXF6Y5rHlMD+/nn/gTSaXeFNux7+oKv22az1bp/8eLFevDBBwMc3YUJ6CTtqowvMTHRa39iYqJ5rLi4WAkJCd5BNGig+Ph4rza+5bWqcxYXF6t58+YqLi4+Zz+1yc3N1a9+9Ss/rgwAgAgVwmX+F948/L677ZJaxTZp0iTl5OSYr6sqSGPGjFHLli1DGFntXC6XZs2aJUkaN2yFHNHuEEdUk6vSrjl/GiyJGC8GMQZG9Rjb3LtRUQ08IY6oJs/pKP3rtdslEePFqB7j+PHj5XA4QhxRTS6XSzNmzAh1GPBTQBOkpKQkSVJJSYlatWpl7i8pKTGH3JKSklRaWur1vtOnT+ubb74x35+UlKSSkhKvNlWvz9em6nhtzvaAKofDEZb/cVXniHaH5QdSdcQYGMQYGFENPIpqQIwXKxJijITf4Yg8AZ19l5KSoqSkJG3YsMHcV15erm3btik1NVWSlJqaqmPHjqmoqMhss3HjRnk8HvXp08dss2XLFlVW/nfmdEFBga6++mo1b97cbFO9n6o2Vf0AAACF4HvYQjCkVw/qnCAdP35ce/bs0Z49eyRJhw4d0p49e3T48GHZbDaNHTtWv/71r/X6669r7969euCBB9S6dWtzInenTp105513auTIkdq+fbveffddZWdn67777lPr1q0lST/5yU/kcDg0YsQI7d+/Xy+//LLmzZvnNTz26KOPKj8/X7NmzdJHH32kadOmaefOncrOzr74uwIAAC5pdR5i27lzp2677TbzdVXSkpmZqSVLluixxx7TiRMn9Mgjj+jYsWO68cYblZ+f77VK7C9/+Yuys7N1xx13KCoqSoMGDdIzzzxjHo+Li9Obb76prKws9erVSy1bttSUKVO8npV0ww03aNmyZZo8ebKeeOIJXXnllVq1alVIH0sOAEDYiYBJ2uGozgnSrbfees7Z5jabTdOnT9f06dPP2iY+Pl7Lli07Zz/dunXT3/72t3O2GTx4sAYPHnzugAEAAOooPJ8ABgAAEEKX1DJ/AAAuOR5JtT+HsX77jHBUkAAAAHxQQQIAwMIi4bvYwhEVJAAAAB9UkAAAsDKW+fuFChIAAIAPEiQAAAAfDLEBAGBlHkOyBXnIy8MQGwAAgOVQQQIAwMqYpO0XKkgAAAA+SJAAAAB8MMQGAIClhWCITQyxAQAAWA4VJAAArIxJ2n6hggQAAOCDBAkAAMAHQ2wAAFiZx1DQJ03zJG0AAADroYIEAICVGZ4zW7D7jHBUkAAAAHxQQQIAwMpY5u8XKkgAAAA+SJAAAAB8MMQGAICVsczfL1SQAAAAfFBBAgDAypik7RcqSAAAAD5IkAAAAHwwxAYAgJUZCsEQW3C7qw9UkAAAAHxQQZLkcrnkcrlCHUYN1WNyVdpDGMnZVY+LGP1HjIFRPS7P6fD8+696XMTov+pxhePvbymM4mKStl9shmGBq/BTeXm54uLiNHHiRMXGxoY6HACAxZw6dUozZ85UWVmZnE5nUPuu+oxLS3pEDaIcQe37tMelt4r/EJLrDhQqSAAAWJnHI8kTgj4jGwmSpDFjxqhly5ahDqMGl8ulWbNmSZLGjx8vhyO4fwFciOoxjhu2Qo5od4gjqslVadecPw2WRIwXI9JijIT/ZojRf5ES44wZM0IdBvxEgiTJ4XCE5X9c1UVEjNHusPzQrI4YAyMiYoyE/2aIMSAiIUZEHhIkAACsjEnafgnP5QkAAAAhRAUJAAAro4LkFypIAAAAPkiQAAAAfDDEBgCAlXkMBf3L0TwMsQEAAFgOFSQAACzMMDwyjOA+2TrY/dUHKkgAAAA+qCABAGBlhhH8OUEs8wcAALAeEiQAAAAfDLEBAGBlRgiW+TPEBgAAYD1UkAAAsDKPR7IFedk9y/wBAACshwQJAADAB0NsAABYGZO0/UIFCQAAwAcVJAAALMzweGQEeZI238UGAABgQVSQAACwMuYg+YUKEgAAgA8SJAAAAB8MsQEAYGUeQ7IxxFZXVJAAAAB8UEECAMDKDENSsL+LjQoSAACA5ZAgAQAA+GCIDQAACzM8howgT9I2GGIDAACwHipIAABYmeFR8Cdp811sAAAAlkMFCQAAC2MOkn8ivoKUl5en9u3bKzY2Vn369NH27dtDHRIAAKiDLVu26J577lHr1q1ls9m0atWqUIcU2QnSyy+/rJycHE2dOlW7du1S9+7dlZ6ertLS0lCHBgAALtCJEyfUvXt35eXlhToUU0QPsc2ePVsjR47U8OHDJUkLFizQ2rVrtWjRIk2cOPGCz+NyueRyueorTL9Vjykc45N8Yqy0hzCSs6seFzH6L+JijIT/ZojRb5EWY0hFwCTtAQMGaMCAAfUUjH9sRoQOFLpcLjVq1EivvPKKBg4caO7PzMzUsWPH9Ne//rXGeyoqKlRRUWG+LisrU9u2bTVu3DjFxMQEI2wAwCWkoqJCc+bM0bFjxxQXFxfUvsvLyxUXF6cbdZcaKDqofZ9Wpd7ROh05ckROp9PcHxMTc97PW5vNppUrV3p9todCxFaQvvrqK7ndbiUmJnrtT0xM1EcffVTre3Jzc/WrX/2qxv45c+bUS4wAAEjS119/HfQEyeFwKCkpSe8Urwtqv1WaNGmi5ORkr31Tp07VtGnTQhJPXUVsguSPSZMmKScnx3x97NgxtWvXTocPHw76D66VlJeXKzk5ucZfCqgb7mNgcB8Dg/sYGFUjFfHx8UHvOzY2VocOHQrZUJ9hGLLZbF77Imm0JmITpJYtW8put6ukpMRrf0lJiZKSkmp9z9lKe3FxcfwCCACn08l9DADuY2BwHwOD+xgYUVGhWRMVGxur2NjYkPQd6SJ2FZvD4VCvXr20YcMGc5/H49GGDRuUmpoawsgAAECki9gKkiTl5OQoMzNTvXv31vXXX6+5c+fqxIkT5qo2AAAQ/o4fP65PPvnEfH3o0CHt2bNH8fHxatu2bUhiiugEaciQIfryyy81ZcoUFRcXq0ePHsrPz68xcftsYmJiNHXq1IgaEw1H3MfA4D4GBvcxMLiPgcF9vDA7d+7UbbfdZr6umi+cmZmpJUuWhCSmiF3mDwAAUF8idg4SAABAfSFBAgAA8EGCBAAA4IMECQAAwMclmyDl5eWpffv2io2NVZ8+fbR9+/ZQhxQ0W7Zs0T333KPWrVvLZrNp1apVXscNw9CUKVPUqlUrNWzYUGlpafr444+92nzzzTcaOnSonE6nmjVrphEjRuj48eNebT744APddNNNio2NVXJysp5++ukasaxYsUIdO3ZUbGysunbtqnXrQvNIfH/k5ubquuuuU9OmTZWQkKCBAwfq4MGDXm1OnTqlrKwstWjRQk2aNNGgQYNqPNz08OHDysjIUKNGjZSQkKAJEybo9OnTXm02bdqknj17KiYmRh06dKh1VUek/kzPnz9f3bp1Mx9ImJqaqjfeeMM8zj30z8yZM2Wz2TR27FhzH/fy/KZNmyabzea1dezY0TzOPbyEGJegl156yXA4HMaiRYuM/fv3GyNHjjSaNWtmlJSUhDq0oFi3bp3x//7f/zNee+01Q5KxcuVKr+MzZ8404uLijFWrVhnvv/++8T//8z9GSkqKcfLkSbPNnXfeaXTv3t3YunWr8be//c3o0KGDcf/995vHy8rKjMTERGPo0KHGvn37jP/7v/8zGjZsaPz+978327z77ruG3W43nn76aePAgQPG5MmTjejoaGPv3r31fg8CIT093Vi8eLGxb98+Y8+ePcZdd91ltG3b1jh+/LjZZtSoUUZycrKxYcMGY+fOnUbfvn2NG264wTx++vRp45prrjHS0tKM3bt3G+vWrTNatmxpTJo0yWzz2WefGY0aNTJycnKMAwcOGM8++6xht9uN/Px8s00k/0y//vrrxtq1a42///3vxsGDB40nnnjCiI6ONvbt22cYBvfQH9u3bzfat29vdOvWzXj00UfN/dzL85s6darRpUsX44svvjC3L7/80jzOPbx0XJIJ0vXXX29kZWWZr91ut9G6dWsjNzc3hFGFhm+C5PF4jKSkJOO3v/2tue/YsWNGTEyM8X//93+GYRjGgQMHDEnGjh07zDZvvPGGYbPZjH//+9+GYRjG888/bzRv3tyoqKgw2zz++OPG1Vdfbb7+8Y9/bGRkZHjF06dPH+OnP/1pQK8xWEpLSw1JxubNmw3DOHPfoqOjjRUrVphtPvzwQ0OSUVhYaBjGmWQ1KirKKC4uNtvMnz/fcDqd5r177LHHjC5dunj1NWTIECM9Pd18bbWf6ebNmxsvvvgi99AP3377rXHllVcaBQUFxi233GImSNzLCzN16lSje/futR7jHl5aLrkhNpfLpaKiIqWlpZn7oqKilJaWpsLCwhBGFh4OHTqk4uJir/sTFxenPn36mPensLBQzZo1U+/evc02aWlpioqK0rZt28w2N998sxwOh9kmPT1dBw8e1NGjR8021fupahOp/z+UlZVJkvmllEVFRaqsrPS6xo4dO6pt27Ze97Jr165eDzdNT09XeXm59u/fb7Y5132y0s+02+3WSy+9pBMnTig1NZV76IesrCxlZGTUuF7u5YX7+OOP1bp1a11++eUaOnSoDh8+LIl7eKm55BKkr776Sm63u8bTthMTE1VcXByiqMJH1T041/0pLi5WQkKC1/EGDRooPj7eq01t56jex9naROL/Dx6PR2PHjlW/fv10zTXXSDpzfQ6HQ82aNfNq63sv/b1P5eXlOnnypCV+pvfu3asmTZooJiZGo0aN0sqVK9W5c2fuYR299NJL2rVrl3Jzc2sc415emD59+mjJkiXKz8/X/PnzdejQId1000369ttvuYeXmIj+qhEgXGRlZWnfvn165513Qh1KRLr66qu1Z88elZWV6ZVXXlFmZqY2b94c6rAiypEjR/Too4+qoKCAb2+/CAMGDDD/3a1bN/Xp00ft2rXT8uXL1bBhwxBGhmC75CpILVu2lN1ur7HqoKSkRElJSSGKKnxU3YNz3Z+kpCSVlpZ6HT99+rS++eYbrza1naN6H2drE2n/P2RnZ2vNmjV6++231aZNG3N/UlKSXC6Xjh075tXe9176e5+cTqcaNmxoiZ9ph8OhDh06qFevXsrNzVX37t01b9487mEdFBUVqbS0VD179lSDBg3UoEEDbd68Wc8884waNGigxMRE7qUfmjVrpquuukqffPIJP4+XmEsuQXI4HOrVq5c2bNhg7vN4PNqwYYNSU1NDGFl4SElJUVJSktf9KS8v17Zt28z7k5qaqmPHjqmoqMhss3HjRnk8HvXp08dss2XLFlVWVpptCgoKdPXVV6t58+Zmm+r9VLWJlP8fDMNQdna2Vq5cqY0bNyolJcXreK9evRQdHe11jQcPHtThw4e97uXevXu9Es6CggI5nU517tzZbHOu+2TFn2mPx6OKigruYR3ccccd2rt3r/bs2WNuvXv31tChQ81/cy/r7vjx4/r000/VqlUrfh4vNaGeJR4KL730khETE2MsWbLEOHDggPHII48YzZo181p1YGXffvutsXv3bmP37t2GJGP27NnG7t27jX/+85+GYZxZ5t+sWTPjr3/9q/HBBx8YP/jBD2pd5n/ttdca27ZtM9555x3jyiuv9Frmf+zYMSMxMdEYNmyYsW/fPuOll14yGjVqVGOZf4MGDYzf/e53xocffmhMnTo1opb5jx492oiLizM2bdrktST4u+++M9uMGjXKaNu2rbFx40Zj586dRmpqqpGammoer1oS3L9/f2PPnj1Gfn6+cdlll9W6JHjChAnGhx9+aOTl5dW6JDhSf6YnTpxobN682Th06JDxwQcfGBMnTjRsNpvx5ptvGobBPbwY1VexGQb38kKMHz/e2LRpk3Ho0CHj3XffNdLS0oyWLVsapaWlhmFwDy8ll2SCZBiG8eyzzxpt27Y1HA6Hcf311xtbt24NdUhB8/bbbxuSamyZmZmGYZxZ6v/LX/7SSExMNGJiYow77rjDOHjwoNc5vv76a+P+++83mjRpYjidTmP48OHGt99+69Xm/fffN2688UYjJibG+N73vmfMnDmzRizLly83rrrqKsPhcBhdunQx1q5dW2/XHWi13UNJxuLFi802J0+eNH72s58ZzZs3Nxo1amT88Ic/NL744guv8/zjH/8wBgwYYDRs2NBo2bKlMX78eKOystKrzdtvv2306NHDcDgcxuWXX+7VR5VI/Zl+6KGHjHbt2hkOh8O47LLLjDvuuMNMjgyDe3gxfBMk7uX5DRkyxGjVqpXhcDiM733ve8aQIUOMTz75xDzOPbx02AzDMEJTuwIAAAhPl9wcJAAAgPMhQQIAAPBBggQAAOCDBAkAAMAHCRIAAIAPEiQAAAAfJEgAAAA+SJAAAAB8kCABAAD4IEECAADwQYIEAADggwQJAADAx/8HBa8wikQJUIIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "irnbndpth = os.path.join(\"..\", \"data\", \"uzf_examples\", \"irunbnd.dat\")\n",
    "irunbnd = np.loadtxt(irnbndpth)\n",
    "\n",
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.add_subplot(1, 1, 1, aspect=\"equal\")\n",
    "mapview = flopy.plot.PlotMapView(model=m)\n",
    "irunbndplt = mapview.plot_array(irunbnd)\n",
    "plt.colorbar(irunbndplt, ax=ax, label=\"SFR segment\")\n",
    "linecollection = mapview.plot_grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ``vks`` (unsaturated zone vertical hydraulic conductivity) array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:05.284719Z",
     "iopub.status.busy": "2022-12-15T13:22:05.284393Z",
     "iopub.status.idle": "2022-12-15T13:22:05.737027Z",
     "shell.execute_reply": "2022-12-15T13:22:05.736070Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vksbndpth = os.path.join(\"..\", \"data\", \"uzf_examples\", \"vks.dat\")\n",
    "vks = np.loadtxt(vksbndpth)\n",
    "\n",
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.add_subplot(1, 1, 1, aspect=\"equal\")\n",
    "mapview = flopy.plot.PlotMapView(model=m)\n",
    "vksplt = mapview.plot_array(vks)\n",
    "plt.colorbar(vksplt, ax=ax, label=\"Layer 1 Kv\")\n",
    "linecollection = mapview.plot_grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `finf` array  \n",
    "* load infiltration rates from a file into a 3D array\n",
    "* `finf` can be submitted to FloPy as a 3D array, list of 2D arrays, list of numeric values, or single numeric value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:05.741555Z",
     "iopub.status.busy": "2022-12-15T13:22:05.740913Z",
     "iopub.status.idle": "2022-12-15T13:22:05.749952Z",
     "shell.execute_reply": "2022-12-15T13:22:05.749142Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15, 10, 1, 12)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m.nrow_ncol_nlay_nper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:05.753888Z",
     "iopub.status.busy": "2022-12-15T13:22:05.753486Z",
     "iopub.status.idle": "2022-12-15T13:22:06.102139Z",
     "shell.execute_reply": "2022-12-15T13:22:06.101002Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YvHK9p4Ur19tsNiUnJ6u4uFhjx449cw2PR8XFxcrMzPR5jtPpVHFxsaZPn27uKyoqktPpbBL79NNPKzk5WQMHDjxvLmVlZQoPD1dcXFyL7uFChRnGt3dd/+rqakVFRWn27NlNSo8AAFyqmpoa5eXlqaqq6oIqP/7U+Dtu9d7Bat8xwtK2v/qyQfcN2dei+96wYYMmTpyo3/72txo2bJiWL1+u559/Xh9++KHi4+N1zz336Morr9TixYslnVlO4qabblJeXp7GjBmj9evX69e//rX27t2r6667zrxudXW1unbtqiVLluj+++/3arOkpES7d+/WLbfcoo4dO6qkpEQzZszQrbfeqmeeecZ/D+QsVLwAAAhhgZxc3xLjxo3TiRMnlJubK5fLpUGDBqmwsNCcQF9eXq7w8H/ex/XXX69169Zp7ty5euihh3TNNddo06ZNXp0uSVq/fr0Mw9D48eObtBkZGan169dr/vz5qq2tVVJSkmbMmOE178vfqHhFRemzzz5TbGxsoNNpwu12a8mSJZKknJwc2Wy2AGfUFDn6Bzn6Bzn6Bzn6h9vt1qJFiwJe8frd3uSAVLwmDykNyH0HOypeOjO2HIx/ac9Gjv5Bjv5Bjv5Bjv7RGnIMJI90UQuaXmqb8I0FVAEAACxCxwsAAMAiDDUCABDCPAqXx+I6i9XttSY8GQAAAItQ8QIAIIQ1GOFqsHgBVavba014MgAAABah4wUAAGARhhoBAAhhHoXJI6vX8bK2vdaEihcAAIBFqHgBABDCmFwfXHgyAAAAFqHjBQAAYBGGGgEACGENCleDxXUWq9trTXgyAAAAFqHiBQBACPMYYfIYFi8nYXF7rQkVLwAAAItQ8QIAIIR5AjDHy0Ndp1k8GQAAAIvQ8QIAALAIQ40AAIQwjxEuj8UryVvdXmvCkwEAALAIFS8AAEJYg8LUIGuXd7C6vdaEihcAAIBF6HgBAABYhKFGAABCGJPrgwtPBgAAwCJUvAAACGENsn6ye4OlrbUuVLwAAAAsQsULAIAQxhyv4MKTAQAAsAgdLwAAAIsw1AgAQAhrMMLVYPHQn9XttSY8GQAAAItQ8QIAIIQZCpPH4uUkDL7V2KwWV7w+++wz/fu//7s6d+6sdu3aqX///nr33XfN44ZhKDc3V127dlW7du2Umpqqjz76yOsaJ0+e1IQJE+RwOBQdHa2MjAydOnXKK+b999/XjTfeKLvdrsTERD388MNNctm4caP69Okju92u/v37a+vWrS29HQAAAMu0qOP1xRdf6Pvf/77atm2rP/3pT/rggw+0ZMkSderUyYx5+OGH9dhjj6mgoEC7d+/WFVdcobS0NNXU1JgxEyZM0MGDB1VUVKTNmzfrzTff1JQpU8zj1dXVGjVqlHr06KHS0lI98sgjmj9/vp588kkzZufOnRo/frwyMjK0b98+jR07VmPHjtWBAwcu5XkAAABcNi0aavzNb36jxMRErVmzxtyXlJRk/rNhGFq+fLnmzp2r22+/XZL07LPPKj4+Xps2bdJdd92lQ4cOqbCwUO+8846GDh0qSVq5cqVuu+02Pfroo+rWrZuee+45ud1urV69WjabTddee63Kysq0dOlSs4O2YsUKjR49WjNnzpQkLVy4UEVFRVq1apUKCgpa9BDcbrfcbneLzrHC2TkFY34SOfoLOfoHOfoHOfpHsOTF5PrgEmYYhnGhwf369VNaWpr+7//+Tzt27NCVV16p//zP/9TkyZMlSX/961/1ne98R/v27dOgQYPM82666SYNGjRIK1as0OrVq5WTk6MvvvjCPF5fXy+73a6NGzfqxz/+se655x5VV1dr06ZNZswbb7yhESNG6OTJk+rUqZO6d++u7OxsTZ8+3YyZN2+eNm3apPfee89n/rW1taqtrTV/rq6uVmJiombPni273X6hjwEAgAtSU1OjvLw8VVVVyeFwWNp2dXW1oqKiNHPnGEV2aGtp27Wn6vTI9VsCct/BrkVd0r/+9a964okndM011+jVV1/V1KlT9fOf/1zPPPOMJMnlckmS4uPjvc6Lj483j7lcLsXFxXkdb9OmjWJiYrxifF3j7Daai2k87svixYsVFRVlbomJiS25fQAAWh2PERaQDb61aKjR4/Fo6NCh+vWvfy1JGjx4sA4cOKCCggJNnDjxsiToT3PmzFF2drb5c2PFKysrS7GxsQHMzDe3260lS5ZIknJycmSz2QKcUVPk6B/k6B/k6B/k6B9ut1uLFi0KdBoIMi3qeHXt2lX9+vXz2te3b1/94Q9/kCQlJCRIkioqKtS1a1czpqKiwhx6TEhI0PHjx72uUV9fr5MnT5rnJyQkqKKiwium8efzxTQe9yUyMlKRkZFN9ttstqD8S3s2cvQPcvQPcvQPcvSP1pBjIDUoXA0WL9tpdXutSYuezPe//30dPnzYa9///u//qkePHpLOTLRPSEhQcXGxeby6ulq7d++W0+mUJDmdTlVWVqq0tNSM2bZtmzwej1JSUsyYN998U3V1dWZMUVGRevfubb5B6XQ6vdppjGlsBwAAINi0qOM1Y8YM7dq1S7/+9a/18ccfa926dXryySc1bdo0SVJYWJimT5+uX/3qV3r55Ze1f/9+3XPPPerWrZvGjh0r6UyFbPTo0Zo8ebL27Nmjt99+W5mZmbrrrrvUrVs3SdJPf/pT2Ww2ZWRk6ODBg9qwYYNWrFjhNUz4wAMPqLCwUEuWLNGHH36o+fPn691331VmZqafHg0AAIB/tWio8Xvf+55efPFFzZkzRwsWLFBSUpKWL1+uCRMmmDGzZs3S6dOnNWXKFFVWVuqGG25QYWGh11uDzz33nDIzMzVy5EiFh4crPT1djz32mHk8KipKr732mqZNm6bk5GTFxsYqNzfXa62v66+/XuvWrdPcuXP10EMP6ZprrtGmTZt03XXXXcrzAAAgpARisjuT65vX4k8G/cu//Iv+5V/+pdnjYWFhWrBggRYsWNBsTExMjNatW3fOdgYMGKA///nP54y58847deedd547YQAAgCDBtxoBAAhhHoXLY/Fkd6vba014MgAAABah4wUAAGARhhoBAAhhDUaYGiye7G51e60JFS8AAACLUPECACCEsZxEcKHiBQAAYBEqXgAAhDDDCJfHsLbOYljcXmvCkwEAALAIHS8AAACLMNQIAEAIa1CYGmTxchIWt9eaUPECAACwCBUvAABCmMewfnkHj2Fpc60KFS8AAACL0PECAACwCEONAACEME8A1vGyur3WhCcDAABgESpeAACEMI/C5LF4eQer22tNqHgBAABYhIoXAAAhrMEIU4PFy0lY3V5rQsULAAAEhfz8fPXs2VN2u10pKSnas2fPOeM3btyoPn36yG63q3///tq6davX8XvvvVdhYWFe2+jRo71iTp48qQkTJsjhcCg6OloZGRk6deqU3++tER0vAAAQcBs2bFB2drbmzZunvXv3auDAgUpLS9Px48d9xu/cuVPjx49XRkaG9u3bp7Fjx2rs2LE6cOCAV9zo0aN17Ngxc/uf//kfr+MTJkzQwYMHVVRUpM2bN+vNN9/UlClTLtt90vECACCENS4nYfXWUkuXLtXkyZM1adIk9evXTwUFBWrfvr1Wr17tM37FihUaPXq0Zs6cqb59+2rhwoUaMmSIVq1a5RUXGRmphIQEc+vUqZN57NChQyosLNRTTz2llJQU3XDDDVq5cqXWr1+vo0ePtvgeLgQdLwAAcFlUV1d7bbW1tT7j3G63SktLlZqaau4LDw9XamqqSkpKfJ5TUlLiFS9JaWlpTeK3b9+uuLg49e7dW1OnTtXf//53r2tER0dr6NCh5r7U1FSFh4dr9+7dLb7fC0HHCwCAEOZRmDyGxds/lpNITExUVFSUuS1evNhnjp9//rkaGhoUHx/vtT8+Pl4ul8vnOS6X67zxo0eP1rPPPqvi4mL95je/0Y4dO3TrrbeqoaHBvEZcXJzXNdq0aaOYmJhm271UvNUIAAAui08//VQOh8P8OTIy0tL277rrLvOf+/fvrwEDBug73/mOtm/frpEjR1qaSyMqXgAA4LJwOBxeW3Mdr9jYWEVERKiiosJrf0VFhRISEnyek5CQ0KJ4SerVq5diY2P18ccfm9f45uT9+vp6nTx58pzXuRR0vAAACGHGP1aut3IzWrhyvc1mU3JysoqLi819Ho9HxcXFcjqdPs9xOp1e8ZJUVFTUbLwk/d///Z/+/ve/q2vXruY1KisrVVpaasZs27ZNHo9HKSkpLbqHC0XHCwAABFx2drZ+97vf6ZlnntGhQ4c0depUnT59WpMmTZIk3XPPPZozZ44Z/8ADD6iwsFBLlizRhx9+qPnz5+vdd99VZmamJOnUqVOaOXOmdu3apU8++UTFxcW6/fbbdfXVVystLU2S1LdvX40ePVqTJ0/Wnj179PbbbyszM1N33XWXunXrdlnukzleAACEsMYJ71a32VLjxo3TiRMnlJubK5fLpUGDBqmwsNCcQF9eXq7w8H/Wi66//nqtW7dOc+fO1UMPPaRrrrlGmzZt0nXXXSdJioiI0Pvvv69nnnlGlZWV6tatm0aNGqWFCxd6DXk+99xzyszM1MiRIxUeHq709HQ99thjl/gEmkfHCwAABIXMzEyzYvVN27dvb7Lvzjvv1J133ukzvl27dnr11VfP22ZMTIzWrVvXojwvBR0vAABC2MUuaHqpbcI3ngwAAIBFqHjpzIq5brc70Gk0cXZOwZifRI7+Qo7+QY7+QY7+Eax5IbDCDMMwAp1EoFRXVysqKkqzZ8+W3W4PdDoAgBBTU1OjvLw8VVVVeS0kaoXG33G3v3af2l5hs7TtutNuvTRqdUDuO9gx1AgAAGARhholZWVlKTY2NtBpNOF2u7VkyRJJUk5Ojmw2a/+L5UKQo3+Qo3+Qo3+Qo3+43W4tWrQo0GmYi5pa3SZ8o+OlMyvmBuNf2rORo3+Qo3+Qo3+Qo3+0hhyBRgw1AgAAWISKFwAAIay1rFz/bUHFCwAAwCJUvAAACGFUvIILFS8AAACL0PECAACwCEONAACEMIYagwsVLwAAAItQ8QIAIIRR8QouVLwAAAAsQsULAIAQZsj6bycalrbWulDxAgAAsAgdLwAAAIsw1AgAQAhjcn1woeIFAABgESpeAACEMCpewYWKFwAAgEXoeAEAAFiEoUYAAEIYQ43BhYoXAACARah4AQAQwqh4BRcqXgAAABah4gUAQAgzjDAZFlegrG6vNaHiBQAAYBE6XgAAABZhqBEAgBDmUZg8snhyvcXttSZUvAAAACxCxQsAgBDGchLBhYoXAACAReh4AQAAWIShRgAAQhjreAUXKl4AAAAWoeIFAEAIY3J9cGlRxWv+/PkKCwvz2vr06WMer6mp0bRp09S5c2d16NBB6enpqqio8LpGeXm5xowZo/bt2ysuLk4zZ85UfX29V8z27ds1ZMgQRUZG6uqrr9batWub5JKfn6+ePXvKbrcrJSVFe/bsacmtAAAAWK7FQ43XXnutjh07Zm5vvfWWeWzGjBl65ZVXtHHjRu3YsUNHjx7VHXfcYR5vaGjQmDFj5Ha7tXPnTj3zzDNau3atcnNzzZgjR45ozJgxuuWWW1RWVqbp06frZz/7mV599VUzZsOGDcrOzta8efO0d+9eDRw4UGlpaTp+/PjFPgcAAEJS4xwvqzf41uKOV5s2bZSQkGBusbGxkqSqqio9/fTTWrp0qUaMGKHk5GStWbNGO3fu1K5duyRJr732mj744AP9/ve/16BBg3Trrbdq4cKFys/Pl9vtliQVFBQoKSlJS5YsUd++fZWZmamf/OQnWrZsmZnD0qVLNXnyZE2aNEn9+vVTQUGB2rdvr9WrV/vjmQAAAFwWLZ7j9dFHH6lbt26y2+1yOp1avHixunfvrtLSUtXV1Sk1NdWM7dOnj7p3766SkhINHz5cJSUl6t+/v+Lj482YtLQ0TZ06VQcPHtTgwYNVUlLidY3GmOnTp0uS3G63SktLNWfOHPN4eHi4UlNTVVJS0tLbMa/Z2PELJmfnFIz5SeToL+ToH+ToH+ToH8GaFwKrRR2vlJQUrV27Vr1799axY8f0y1/+UjfeeKMOHDggl8slm82m6Ohor3Pi4+PlcrkkSS6Xy6vT1Xi88di5Yqqrq/X111/riy++UENDg8+YDz/88Jz519bWqra21vy5urpakrRy5UrZ7fYLfAqBsWTJkkCncF7k6B/k6B/k6B/k2PoZAZhcz1Bj81rU8br11lvNfx4wYIBSUlLUo0cPPf/882rXrp3fk/O3xYsX65e//GWg0wAAAN9Sl7ScRHR0tL773e/q448/1g9/+EO53W5VVlZ6Vb0qKiqUkJAgSUpISGjy9mHjW49nx3zzTciKigo5HA61a9dOERERioiI8BnTeI3mzJkzR9nZ2ebP1dXVSkxMVFZWljlXLZi43W7zv+RycnJks9kCnFFT5Ogf5Ogf5Ogf5OgfbrdbixYtCnQaMiQZhvVtwrdL6nidOnVKf/nLX3T33XcrOTlZbdu2VXFxsdLT0yVJhw8fVnl5uZxOpyTJ6XRq0aJFOn78uOLi4iRJRUVFcjgc6tevnxmzdetWr3aKiorMa9hsNiUnJ6u4uFhjx46VJHk8HhUXFyszM/Oc+UZGRioyMrLJfpvNFpR/ac9Gjv5Bjv5Bjv5Bjv7RGnIEGrXorcb/+q//0o4dO/TJJ59o586d+vGPf6yIiAiNHz9eUVFRysjIUHZ2tt544w2VlpZq0qRJcjqdGj58uCRp1KhR6tevn+6++2699957evXVVzV37lxNmzbN7BDdf//9+utf/6pZs2bpww8/1OOPP67nn39eM2bMMPPIzs7W7373Oz3zzDM6dOiQpk6dqtOnT2vSpEl+fDQAAAD+1aKK1//93/9p/Pjx+vvf/64uXbrohhtu0K5du9SlSxdJ0rJlyxQeHq709HTV1tYqLS1Njz/+uHl+RESENm/erKlTp8rpdOqKK67QxIkTtWDBAjMmKSlJW7Zs0YwZM7RixQpdddVVeuqpp5SWlmbGjBs3TidOnFBubq5cLpcGDRqkwsLCJhPuAQD4tvMoTGGyeOV6i9trTVrU8Vq/fv05j9vtduXn5ys/P7/ZmB49ejQZSvymm2++Wfv27TtnTGZm5nmHFgEAAIIJ32oEACCEBWIleZaTaF6LV64HAADAxaHiBQBACPMYYQqzuAJl9YKtrQkVLwAAAIvQ8QIAALAIQ40AAIQwwwjAyvUsXd8sKl4AAAAWoeIFAEAIYzmJ4ELFCwAAwCJ0vAAAACzCUCMAACGMocbgQsULAADAIlS8AAAIYaxcH1yoeAEAAFiEihcAACGMBVSDCxUvAAAQFPLz89WzZ0/Z7XalpKRoz54954zfuHGj+vTpI7vdrv79+2vr1q3msbq6Oj344IPq37+/rrjiCnXr1k333HOPjh496nWNnj17KiwszGvLy8u7LPcn0fECAABBYMOGDcrOzta8efO0d+9eDRw4UGlpaTp+/LjP+J07d2r8+PHKyMjQvn37NHbsWI0dO1YHDhyQJH311Vfau3evfvGLX2jv3r364x//qMOHD+tf//Vfm1xrwYIFOnbsmLllZWVdtvtkqBEAgBB2ZqjR6uUkWn7O0qVLNXnyZE2aNEmSVFBQoC1btmj16tWaPXt2k/gVK1Zo9OjRmjlzpiRp4cKFKioq0qpVq1RQUKCoqCgVFRV5nbNq1SoNGzZM5eXl6t69u7m/Y8eOSkhIaHnSF4GKFwAAuCyqq6u9ttraWp9xbrdbpaWlSk1NNfeFh4crNTVVJSUlPs8pKSnxipektLS0ZuMlqaqqSmFhYYqOjvban5eXp86dO2vw4MF65JFHVF9ff4F32HJUvAAACGGBXEA1MTHRa/+8efM0f/78JvGff/65GhoaFB8f77U/Pj5eH374oc82XC6Xz3iXy+UzvqamRg8++KDGjx8vh8Nh7v/5z3+uIUOGKCYmRjt37tScOXN07NgxLV269Lz3eTHoeAEAgMvi008/9erkREZGBiSPuro6/du//ZsMw9ATTzzhdSw7O9v85wEDBshms+k//uM/tHjx4suSL0ONAADgsnA4HF5bcx2Z2NhYRUREqKKiwmt/RUVFs3OvEhISLii+sdP1t7/9TUVFRV4dQV9SUlJUX1+vTz755Dx3d3HoeAEAEMKMAG0tYbPZlJycrOLiYnOfx+NRcXGxnE6nz3OcTqdXvCQVFRV5xTd2uj766CO9/vrr6ty583lzKSsrU3h4uOLi4lp4FxeGoUYAABBw2dnZmjhxooYOHaphw4Zp+fLlOn36tPmW4z333KMrr7xSixcvliQ98MADuummm7RkyRKNGTNG69ev17vvvqsnn3xS0plO109+8hPt3btXmzdvVkNDgzn/KyYmRjabTSUlJdq9e7duueUWdezYUSUlJZoxY4b+/d//XZ06dbos90nHCwCAEBbIyfUtMW7cOJ04cUK5ublyuVwaNGiQCgsLzQn05eXlCg//50Dd9ddfr3Xr1mnu3Ll66KGHdM0112jTpk267rrrJEmfffaZXn75ZUnSoEGDvNp64403dPPNNysyMlLr16/X/PnzVVtbq6SkJM2YMcNr3pe/0fECAABBITMzU5mZmT6Pbd++vcm+O++8U3feeafP+J49e8o4z4JiQ4YM0a5du1qc56Wg4wUAQCi7mElX/mgTPjG5HgAAwCJ0vAAAACzCUCMAAKEsAJPrZXV7rQgVLwAAAItQ8QIAIIQZxpnN6jbhGxUvAAAAi1DxkuR2u+V2uwOdRhNn5xSM+Unk6C/k6B/k6B/k6B/BmhcCK8w43+piIay6ulpRUVGaPXu27HZ7oNMBAISYmpoa5eXlqaqq6rwfZ/a3xt9xPVfPVXh7a3/Heb6q0Sf3/Sog9x3sGGoEAACwCEONkrKyshQbGxvoNJpwu91asmSJJCknJ0c2my3AGTVFjv5Bjv5Bjv5Bjv7hdru1aNGiQKdxZmkHlpMIGnS8JNlstqD8S3s2cvQPcvQPcvQPcvSP1pAj0IihRgAAAItQ8QIAIISxjldwoeIFAABgESpeAACEMuMfm9VtwicqXgAAABah4gUAQAgzjDAZFi/vYHV7rQkVLwAAAIvQ8QIAALAIQ40AAIQ6JrsHDSpeAAAAFqHiBQBACGNyfXCh4gUAAGAROl4AAAAWYagRAIBQxsr1QYWKFwAAgEWoeAEAENLC/rFZ3SZ8oeIFAABgESpeAACEMuZ4BRUqXgAAABah4wUAAGARhhoBAAhlDDUGFSpeAAAAFqHiBQBAKDPCzmxWtwmfqHgBAABYhI4XAACARRhqBAAghBnGmc3qNuEbFS8AAACLUPECACCUsZxEUKHiBQAAYBEqXgAAhDKWkwgqVLwAAAAsQscLAADAIgw1AgAQwsKMM5vVbcK3S6p45eXlKSwsTNOnTzf31dTUaNq0aercubM6dOig9PR0VVRUeJ1XXl6uMWPGqH379oqLi9PMmTNVX1/vFbN9+3YNGTJEkZGRuvrqq7V27dom7efn56tnz56y2+1KSUnRnj17LuV2AAAALquL7ni98847+u1vf6sBAwZ47Z8xY4ZeeeUVbdy4UTt27NDRo0d1xx13mMcbGho0ZswYud1u7dy5U88884zWrl2r3NxcM+bIkSMaM2aMbrnlFpWVlWn69On62c9+pldffdWM2bBhg7KzszVv3jzt3btXAwcOVFpamo4fP36xtwQAQOgxArTBp4vqeJ06dUoTJkzQ7373O3Xq1MncX1VVpaefflpLly7ViBEjlJycrDVr1mjnzp3atWuXJOm1117TBx98oN///vcaNGiQbr31Vi1cuFD5+flyu92SpIKCAiUlJWnJkiXq27evMjMz9ZOf/ETLli0z21q6dKkmT56sSZMmqV+/fiooKFD79u21evXqS3keAAAAl81FzfGaNm2axowZo9TUVP3qV78y95eWlqqurk6pqanmvj59+qh79+4qKSnR8OHDVVJSov79+ys+Pt6MSUtL09SpU3Xw4EENHjxYJSUlXtdojGkc0nS73SotLdWcOXPM4+Hh4UpNTVVJSUmL78ftdpudvmBydk7BmJ9Ejv5Cjv5Bjv5Bjv4RrHkhsFrc8Vq/fr327t2rd955p8kxl8slm82m6Ohor/3x8fFyuVxmzNmdrsbjjcfOFVNdXa2vv/5aX3zxhRoaGnzGfPjhh83mXltbq9raWvPn6upqSdLKlStlt9vPddsBt2TJkkCncF7k6B/k6B/k6B/kGAJYxyuotGio8dNPP9UDDzyg5557Lug7Kr4sXrxYUVFR5paYmBjolAAAwLdIiypepaWlOn78uIYMGWLua2ho0JtvvqlVq1bp1VdfldvtVmVlpVfVq6KiQgkJCZKkhISEJm8fNr71eHbMN9+ErKiokMPhULt27RQREaGIiAifMY3X8GXOnDnKzs42f66urlZiYqKysrIUGxvbgidhDbfbbf6XXE5Ojmw2W4Azaooc/YMc/YMc/YMc/cPtdmvRokWBToNvNQaZFnW8Ro4cqf3793vtmzRpkvr06aMHH3xQiYmJatu2rYqLi5Weni5JOnz4sMrLy+V0OiVJTqdTixYt0vHjxxUXFydJKioqksPhUL9+/cyYrVu3erVTVFRkXsNmsyk5OVnFxcUaO3asJMnj8ai4uFiZmZnN5h8ZGanIyMgm+202W1D+pT0bOfoHOfoHOfoHOfpHa8gRaNSijlfHjh113XXXee274oor1LlzZ3N/RkaGsrOzFRMTI4fDoaysLDmdTg0fPlySNGrUKPXr10933323Hn74YblcLs2dO1fTpk0zO0X333+/Vq1apVmzZum+++7Ttm3b9Pzzz2vLli1mu9nZ2Zo4caKGDh2qYcOGafny5Tp9+rQmTZp0SQ8EAICQQsUrqPh95fply5YpPDxc6enpqq2tVVpamh5//HHzeEREhDZv3qypU6fK6XTqiiuu0MSJE7VgwQIzJikpSVu2bNGMGTO0YsUKXXXVVXrqqaeUlpZmxowbN04nTpxQbm6uXC6XBg0apMLCwiYT7gEAAILFJXe8tm/f7vWz3W5Xfn6+8vPzmz2nR48eTYYSv+nmm2/Wvn37zhmTmZl5zqFFAACAYMK3GgEACGUMNQaVS/pWIwAAAC4cFS8AAEIZC6gGFSpeAAAAFqHjBQAAYBGGGgEACGFhxpnN6jbhGxUvAAAAi1DxAgAglLGcRFCh4gUAAGAROl4AAAAWoeMFAACCQn5+vnr27Cm73a6UlBTt2bPnnPEbN25Unz59ZLfb1b9//yafIzQMQ7m5ueratavatWun1NRUffTRR14xJ0+e1IQJE+RwOBQdHa2MjAydOnXK7/fWiI4XAAAIuA0bNig7O1vz5s3T3r17NXDgQKWlpen48eM+43fu3Knx48crIyND+/bt09ixYzV27FgdOHDAjHn44Yf12GOPqaCgQLt379YVV1yhtLQ01dTUmDETJkzQwYMHVVRUpM2bN+vNN9/UlClTLtt90vECACCEhemfS0pYtl1EnkuXLtXkyZM1adIk9evXTwUFBWrfvr1Wr17tM37FihUaPXq0Zs6cqb59+2rhwoUaMmSIVq1aJelMtWv58uWaO3eubr/9dg0YMEDPPvusjh49qk2bNkmSDh06pMLCQj311FNKSUnRDTfcoJUrV2r9+vU6evToxT3w86DjBQAALovq6mqvrba21mec2+1WaWmpUlNTzX3h4eFKTU1VSUmJz3NKSkq84iUpLS3NjD9y5IhcLpdXTFRUlFJSUsyYkpISRUdHa+jQoWZMamqqwsPDtXv37ou76fOg4wUAQChr/Faj1ZukxMRERUVFmdvixYt9pvj555+roaFB8fHxXvvj4+Plcrl8nuNyuc4Z3/j/zxcTFxfndbxNmzaKiYlptt1LxTpeAADgsvj000/lcDjMnyMjIwOYTXCg4gUAAC4Lh8PhtTXX8YqNjVVERIQqKiq89ldUVCghIcHnOQkJCeeMb/z/54v55uT9+vp6nTx5stl2LxUdLwAAQpkRoK0FbDabkpOTVVxcbO7zeDwqLi6W0+n0eY7T6fSKl6SioiIzPikpSQkJCV4x1dXV2r17txnjdDpVWVmp0tJSM2bbtm3yeDxKSUlp2U1cIIYaAQBAwGVnZ2vixIkaOnSohg0bpuXLl+v06dOaNGmSJOmee+7RlVdeac4Te+CBB3TTTTdpyZIlGjNmjNavX693331XTz75pCQpLCxM06dP169+9Stdc801SkpK0i9+8Qt169ZNY8eOlST17dtXo0eP1uTJk1VQUKC6ujplZmbqrrvuUrdu3S7LfdLxAgAglLWSbzWOGzdOJ06cUG5urlwulwYNGqTCwkJzcnx5ebnCw/85UHf99ddr3bp1mjt3rh566CFdc8012rRpk6677jozZtasWTp9+rSmTJmiyspK3XDDDSosLJTdbjdjnnvuOWVmZmrkyJEKDw9Xenq6HnvssYu/9/Og4wUAAIJCZmamMjMzfR7bvn17k3133nmn7rzzzmavFxYWpgULFmjBggXNxsTExGjdunUtzvVi0fECACCENS5qanWb8I3J9QAAABah4wUAAGARhhoBAAhlrWRy/bcFFS8AAACLUPECACCUUfEKKlS8AAAALELHCwAAwCIMNQIAEMJYxyu4UPECAACwCBUvAABCmRF2ZrO6TfhExQsAAMAiVLwkud1uud3uQKfRxNk5BWN+Ejn6Czn6Bzn6Bzn6R7DmhcAKMwzjWzsFrrq6WlFRUZo9e7bsdnug0wEAhJiamhrl5eWpqqpKDofD0rYbf8clzf+1wi3+HeepqdGR+Q8F5L6DHUONAAAAFmGoUVJWVpZiY2MDnUYTbrdbS5YskSTl5OTIZrMFOKOmyNE/yNE/yNE/yNE/3G63Fi1aFOg0WE4iyNDxkmSz2YLyL+3ZyNE/yNE/yNE/yNE/WkOOQCM6XgAAhDK+1RhUmOMFAABgETpeAAAAFmGoEQCAUBaAyfUMNTaPihcAAIBFqHgBABDKmFwfVKh4AQAAWISOFwAAgEUYagQAIJQx1BhUqHgBAABYhIoXAAAhjG81BhcqXgAAABah4wUAAGAROl4AAAAWoeMFAABgESbXAwAQylhOIqhQ8QIAALAIFS8AAEIYy0kEFypeAAAAFqHjBQAAYBGGGgEACHUM/QUNKl4AAAAWoeIFAEAoYzmJoELFCwAAwCJUvAAACGEsJxFcqHgBAABYhI4XAACARRhqBAAglDG5PqhQ8QIAALAIFS8AAEIYk+uDCxUvAAAAi9DxAgAAsAhDjQAAhDIm1wcVKl4AAAAWaVHH64knntCAAQPkcDjkcDjkdDr1pz/9yTxeU1OjadOmqXPnzurQoYPS09NVUVHhdY3y8nKNGTNG7du3V1xcnGbOnKn6+nqvmO3bt2vIkCGKjIzU1VdfrbVr1zbJJT8/Xz179pTdbldKSor27NnTklsBAODbwQjQBp9a1PG66qqrlJeXp9LSUr377rsaMWKEbr/9dh08eFCSNGPGDL3yyivauHGjduzYoaNHj+qOO+4wz29oaNCYMWPkdru1c+dOPfPMM1q7dq1yc3PNmCNHjmjMmDG65ZZbVFZWpunTp+tnP/uZXn31VTNmw4YNys7O1rx587R3714NHDhQaWlpOn78+KU+DwAAgMumRXO8fvSjH3n9vGjRIj3xxBPatWuXrrrqKj399NNat26dRowYIUlas2aN+vbtq127dmn48OF67bXX9MEHH+j1119XfHy8Bg0apIULF+rBBx/U/PnzZbPZVFBQoKSkJC1ZskSS1LdvX7311ltatmyZ0tLSJElLly7V5MmTNWnSJElSQUGBtmzZotWrV2v27Nktfghut1tut7vF511uZ+cUjPlJ5Ogv5Ogf5Ogf5OgfwZIXy0kElzDDMC7q8TQ0NGjjxo2aOHGi9u3bJ5fLpZEjR+qLL75QdHS0GdejRw9Nnz5dM2bMUG5url5++WWVlZWZx48cOaJevXpp7969Gjx4sH7wgx9oyJAhWr58uRmzZs0aTZ8+XVVVVXK73Wrfvr1eeOEFjR071oyZOHGiKisr9dJLLzWbc21trWpra82fq6urlZiYqNmzZ8tut1/MYwAAoFk1NTXKy8tTVVWVHA6HpW1XV1crKipKvWf8WhGR1v6Oa6it0eFlDwXkvoNdiyfX79+/Xx06dFBkZKTuv/9+vfjii+rXr59cLpdsNptXp0uS4uPj5XK5JEkul0vx8fFNjjceO1dMdXW1vv76a33++edqaGjwGdN4jeYsXrxYUVFR5paYmNjS2wcAALhoLV5Oonfv3iorK1NVVZVeeOEFTZw4UTt27LgcufndnDlzlJ2dbf7cWPHKyspSbGxsADPzze12m0OuOTk5stlsAc6oKXL0D3L0D3L0D3L0D7fbrUWLFgU6DZaTCDIt7njZbDZdffXVkqTk5GS98847WrFihcaNGye3263KykqvqldFRYUSEhIkSQkJCU3ePmx86/HsmG++CVlRUSGHw6F27dopIiJCERERPmMar9GcyMhIRUZG+rynYPxLezZy9A9y9A9y9A9y9I/WkCPQ6JLX8fJ4PKqtrVVycrLatm2r4uJi89jhw4dVXl4up9MpSXI6ndq/f7/X24dFRUVyOBzq16+fGXP2NRpjGq9hs9mUnJzsFePxeFRcXGzGAACAf2A5iaDSoorXnDlzdOutt6p79+768ssvtW7dOm3fvl2vvvqqoqKilJGRoezsbMXExMjhcCgrK0tOp1PDhw+XJI0aNUr9+vXT3XffrYcfflgul0tz587VtGnTzErU/fffr1WrVmnWrFm67777tG3bNj3//PPasmWLmUd2drYmTpyooUOHatiwYVq+fLlOnz5tvuUIAAAQjFrU8Tp+/LjuueceHTt2TFFRURowYIBeffVV/fCHP5QkLVu2TOHh4UpPT1dtba3S0tL0+OOPm+dHRERo8+bNmjp1qpxOp6644gpNnDhRCxYsMGOSkpK0ZcsWzZgxQytWrNBVV12lp556ylxKQpLGjRunEydOKDc3Vy6XS4MGDVJhYWGTCfcAAADBpEUdr6effvqcx+12u/Lz85Wfn99sTI8ePbR169ZzXufmm2/Wvn37zhmTmZmpzMzMc8YAAPBtxzpewYVvNQIAAFikxW81AgCAVoTlJIIKFS8AAACLUPECACCEMccruFDxAgAArcbJkyc1YcIEORwORUdHKyMjQ6dOnTrnOTU1NZo2bZo6d+6sDh06KD093Wsh9vfee0/jx49XYmKi2rVrp759+2rFihVe19i+fbvCwsKabOf7XOE3UfECAACtxoQJE3Ts2DEVFRWprq5OkyZN0pQpU7Ru3bpmz5kxY4a2bNmijRs3KioqSpmZmbrjjjv09ttvS5JKS0sVFxen3//+90pMTNTOnTs1ZcoURURENFlB4fDhw14f/o6Li2tR/nS8AAAIZSE0uf7QoUMqLCzUO++8o6FDh0qSVq5cqdtuu02PPvqounXr1uScqqoqPf3001q3bp1GjBghSVqzZo369u2rXbt2afjw4brvvvu8zunVq5dKSkr0xz/+sUnHKy4uzuvTiC3FUCMAALgsqqurvbba2tpLul5JSYmio6PNTpckpaamKjw8XLt37/Z5Tmlpqerq6pSammru69Onj7p3766SkpJm26qqqlJMTEyT/YMGDVLXrl31wx/+0KyYtQQdLwAAQlkAv9WYmJioqKgoc1u8ePEl3YrL5WoytNemTRvFxMQ0O9fK5XLJZrM1qVLFx8c3e87OnTu1YcMGTZkyxdzXtWtXFRQU6A9/+IP+8Ic/KDExUTfffLP27t3bontgqBEAAFwWn376qdd8qMbvMn/T7Nmz9Zvf/Oac1zp06JBfc2vOgQMHdPvtt2vevHkaNWqUub93797q3bu3+fP111+vv/zlL1q2bJn++7//+4KvT8cLAABcFg6Hw6vj1ZycnBzde++954zp1auXEhISdPz4ca/99fX1OnnypBISEnyel5CQILfbrcrKSq+qV0VFRZNzPvjgA40cOVJTpkzR3Llzz5v3sGHD9NZbb5037mx0vAAACGFh/9isbrMlunTpoi5dupw3zul0qrKyUqWlpUpOTpYkbdu2TR6PRykpKT7PSU5OVtu2bVVcXKz09HRJZ95MLC8vl9PpNOMOHjyoESNGaOLEiVq0aNEF5V1WVqauXbteUGwjOl4AAKBV6Nu3r0aPHq3JkyeroKBAdXV1yszM1F133WW+0fjZZ59p5MiRevbZZzVs2DBFRUUpIyND2dnZiomJkcPhUFZWlpxOp4YPHy7pzPDiiBEjlJaWpuzsbHPuV0REhNkhXL58uZKSknTttdeqpqZGTz31lLZt26bXXnutRfdAxwsAgFAWQstJSNJzzz2nzMxMjRw5UuHh4UpPT9djjz1mHq+rq9Phw4f11VdfmfuWLVtmxtbW1iotLU2PP/64efyFF17QiRMn9Pvf/16///3vzf09evTQJ598Iklyu93KycnRZ599pvbt22vAgAF6/fXXdcstt7QofzpeAACg1YiJiTnnYqk9e/aUYXj3/Ox2u/Lz85Wfn+/znPnz52v+/PnnbHfWrFmaNWtWi/P9JjpeAACEML7VGFxYxwsAAMAidLwAAAAswlAjAAChLMQm17d2VLwAAAAsQsULAIBQRwUqaFDxAgAAsAgdLwAAAIsw1AgAQAhjHa/gQsULAADAIlS8AAAIZSwnEVSoeAEAAFiEjhcAAIBFGGoEACCEMbk+uFDxAgAAsAgVLwAAQhmT64MKFS8AAACLUPGS5Ha75Xa7A51GE2fnFIz5SeToL+ToH+ToH+ToH8GSF3O8gkuYYRjf2sdTXV2tqKgozZ49W3a7PdDpAABCTE1NjfLy8lRVVSWHw2Fp242/4wbc92tF2Kz9HdfgrtH7qx8KyH0HO4YaAQAALMJQo6SsrCzFxsYGOo0m3G63lixZIknKycmRzWYLcEZNkaN/kKN/kKN/kKN/uN1uLVq0KNBpMLk+yNDxkmSz2YLyL+3ZyNE/yNE/yNE/yNE/WkOOQCM6XgAAhDIqXkGFOV4AAAAWoeMFAABgEYYaAQAIYazjFVyoeAEAAFiEihcAAKGMyfVBhYoXAACARah4AQAQwsIMQ2EWfx3Q6vZaEypeAAAAFqHjBQAAYBGGGgEACGVMrg8qVLwAAAAsQsULAIAQxgKqwYWKFwAAgEXoeAEAAFiEoUYAAEIZk+uDChUvAAAAi1DxAgAghDG5PrhQ8QIAALAIFS8AAEIZc7yCChUvAAAAi9DxAgAAsAhDjQAAhDAm1wcXKl4AAAAWoeIFAEAoY3J9UKHiBQAAYBE6XgAAABZhqBEAgBDHZPfgQcULAADAIlS8AAAIZYZxZrO6TfhExQsAAMAiVLwAAAhhLKAaXKh4AQAAWISOFwAAgEVa1PFavHixvve976ljx46Ki4vT2LFjdfjwYa+YmpoaTZs2TZ07d1aHDh2Unp6uiooKr5jy8nKNGTNG7du3V1xcnGbOnKn6+nqvmO3bt2vIkCGKjIzU1VdfrbVr1zbJJz8/Xz179pTdbldKSor27NnTktsBACD0GQHa4FOLOl47duzQtGnTtGvXLhUVFamurk6jRo3S6dOnzZgZM2bolVde0caNG7Vjxw4dPXpUd9xxh3m8oaFBY8aMkdvt1s6dO/XMM89o7dq1ys3NNWOOHDmiMWPG6JZbblFZWZmmT5+un/3sZ3r11VfNmA0bNig7O1vz5s3T3r17NXDgQKWlpen48eOX8jwAAAAumxZNri8sLPT6ee3atYqLi1Npaal+8IMfqKqqSk8//bTWrVunESNGSJLWrFmjvn37ateuXRo+fLhee+01ffDBB3r99dcVHx+vQYMGaeHChXrwwQc1f/582Ww2FRQUKCkpSUuWLJEk9e3bV2+99ZaWLVumtLQ0SdLSpUs1efJkTZo0SZJUUFCgLVu2aPXq1Zo9e3aLHoLb7Zbb7W7ROVY4O6dgzE8iR38hR/8gR/8gR/8IlrzCPGc2q9uEb2GGcfGLbXz88ce65pprtH//fl133XXatm2bRo4cqS+++ELR0dFmXI8ePTR9+nTNmDFDubm5evnll1VWVmYeP3LkiHr16qW9e/dq8ODB+sEPfqAhQ4Zo+fLlZsyaNWs0ffp0VVVVye12q3379nrhhRc0duxYM2bixImqrKzUSy+95DPf2tpa1dbWmj9XV1crMTFRs2fPlt1uv9jHAACATzU1NcrLy1NVVZUcDoelbVdXVysqKkrf+/Gv1Kattb/j6utq9M6LcwNy38HuoifXezweTZ8+Xd///vd13XXXSZJcLpdsNptXp0uS4uPj5XK5zJj4+PgmxxuPnSumurpaX3/9tT7//HM1NDT4jGm8hi+LFy9WVFSUuSUmJrb8xgEAAC7SRa/jNW3aNB04cEBvvfWWP/O5rObMmaPs7Gzz58aKV1ZWlmJjYwOYmW9ut9scbs3JyZHNZgtwRk2Ro3+Qo3+Qo3+Qo3+43W4tWrQo0GkEZrI7k+ubdVEdr8zMTG3evFlvvvmmrrrqKnN/QkKC3G63KisrvapeFRUVSkhIMGO++fZh41uPZ8d8803IiooKORwOtWvXThEREYqIiPAZ03gNXyIjIxUZGdlkv81mC8q/tGcjR/8gR/8gR/8gR/9oDTkCjVo01GgYhjIzM/Xiiy9q27ZtSkpK8jqenJystm3bqri42Nx3+PBhlZeXy+l0SpKcTqf279/v9fZhUVGRHA6H+vXrZ8acfY3GmMZr2Gw2JScne8V4PB4VFxebMQAA4J8r11u9wbcWVbymTZumdevW6aWXXlLHjh3N+VRRUVFq166doqKilJGRoezsbMXExMjhcCgrK0tOp1PDhw+XJI0aNUr9+vXT3XffrYcfflgul0tz587VtGnTzGrU/fffr1WrVmnWrFm67777tG3bNj3//PPasmWLmUt2drYmTpyooUOHatiwYVq+fLlOnz5tvuUIAAAQbFrU8XriiSckSTfffLPX/jVr1ujee++VJC1btkzh4eFKT09XbW2t0tLS9Pjjj5uxERER2rx5s6ZOnSqn06krrrhCEydO1IIFC8yYpKQkbdmyRTNmzNCKFSt01VVX6amnnjKXkpCkcePG6cSJE8rNzZXL5dKgQYNUWFjYZMI9AADfaoZxZrO6TfjU4qFGX1tjp0uS7Ha78vPzdfLkSZ0+fVp//OMfm8y76tGjh7Zu3aqvvvpKJ06c0KOPPqo2bbz7gDfffLP27dun2tpa/eUvf/Fqo1FmZqb+9re/qba2Vrt371ZKSkpLbgcAALQyJ0+e1IQJE+RwOBQdHa2MjAydOnXqnOdcyFd1wsLCmmzr16/3irmQr+qcD99qBAAArcaECRN08OBBFRUVmS/6TZky5ZznnO+rOo3WrFmjY8eOmdvZa4VeyFd1LsRFLycBAACCXyAmu1+u9g4dOqTCwkK98847Gjp0qCRp5cqVuu222/Too4+qW7duTc65kK/qNIqOjm52dYQL+arOhaDiBQAALovq6mqv7eyvx1yMkpISRUdHm50uSUpNTVV4eLh2797t85zS0lLV1dUpNTXV3NenTx91795dJSUlXrHTpk1TbGyshg0bptWrV+vsj/uUlJR4XUOS0tLSmlzjfOh4AQAQyowAbZISExO9vhizePHiS7oVl8uluLg4r31t2rRRTExMs1+uuZCv6kjSggUL9Pzzz6uoqEjp6en6z//8T61cudLrOuf6qs6FYqgRAABcFp9++qnXtxp9LWIuSbNnz9ZvfvObc17r0KFDfs3tm37xi1+Y/zx48GCdPn1ajzzyiH7+85/7tR06XgAA4LJwOBwX9JHsnJwcn6sXnK1Xr15KSEjwWoBdkurr63Xy5Mlm52ZdyFd1fElJSdHChQtVW1uryMjI835V50LR8QIAIIS1hsn1Xbp0UZcuXc4b53Q6VVlZqdLSUiUnJ0uStm3bJo/H0+ySUmd/VSc9PV1S06/q+FJWVqZOnTqZVTqn06mtW7d6xZz9VZ0LRccLAAC0Cn379tXo0aM1efJkFRQUqK6uTpmZmbrrrrvMNxo/++wzjRw5Us8++6yGDRt2QV/VeeWVV1RRUaHhw4fLbrerqKhIv/71r/Vf//VfZtsX8lWdC0HHCwCAUBZiK9c/99xzyszM1MiRI80v5Tz22GPm8bq6Oh0+fFhfffWVue98X9Vp27at8vPzNWPGDBmGoauvvlpLly7V5MmTzZgL+arOhaDjBQAAWo2YmBitW7eu2eM9e/b0WgZC+udXdfLz832eM3r0aI0ePfq8bTd+VedS0PECACCEtYY5Xt8mrOMFAABgETpeAAAAFmGoEQCAUHbWSvKWtgmfqHgBAABYhIoXAAAhjMn1wYWKFwAAgEXoeAEAAFiEoUYAAEKZxzizWd0mfKLiBQAAYBEqXgAAhDKWkwgqVLwAAAAsQscLAADAIgw1AgAQwsIUgHW8rG2uVaHiBQAAYBEqXgAAhDLDOLNZ3SZ8ouIFAABgESpeAACEML7VGFyoeAEAAFiEjhcAAIBFGGoEACCUsXJ9UKHiBQAAYBEqXpLcbrfcbneg02ji7JyCMT+JHP2FHP2DHP2DHP0jWPIKMwyFWby8g9XttSZhhvHtfTrV1dWKiorS7NmzZbfbA50OACDE1NTUKC8vT1VVVXI4HJa23fg77sab56lNG2t/x9XX1+jP238ZkPsOdgw1AgAAWIShRklZWVmKjY0NdBpNuN1uLVmyRJKUk5Mjm80W4IyaIkf/IEf/IEf/IEf/cLvdWrRoUaDTkDz/2KxuEz7R8ZJks9mC8i/t2cjRP8jRP8jRP8jRP1pDjkAjOl4AAIQwJtcHF+Z4AQAAWISKFwAAoYwFVIMKFS8AAACL0PECAACwCEONAACEMsM4s1ndJnyi4gUAAGARKl4AAISwMOPMZnWb8I2KFwAAgEXoeAEAAFiEoUYAAEIZk+uDChUvAAAAi1DxAgAghIV5zmxWtwnfqHgBAABYhIoXAAChjDleQYWKFwAAgEXoeAEAAFiEoUYAAEKZ8Y/N6jbhExUvAAAAi1DxAgAghIUZhsIsnuxudXutCRUvAAAAi9DxAgAAsAhDjQAAhDLW8QoqVLwAAAAsQsULAIBQZkiy+tuJFLyaRcULAADAIlS8AAAIYSwnEVyoeAEAAFiEjhcAAIBFGGoEACCUGQrAchLWNteaUPECAACwCBUvAABCGQuoBhUqXgAAABah4wUAAGCRFne83nzzTf3oRz9St27dFBYWpk2bNnkdNwxDubm56tq1q9q1a6fU1FR99NFHXjEnT57UhAkT5HA4FB0drYyMDJ06dcor5v3339eNN94ou92uxMREPfzww01y2bhxo/r06SO73a7+/ftr69atLb0dAABCmydAG3xqccfr9OnTGjhwoPLz830ef/jhh/XYY4+poKBAu3fv1hVXXKG0tDTV1NSYMRMmTNDBgwdVVFSkzZs3680339SUKVPM49XV1Ro1apR69Oih0tJSPfLII5o/f76efPJJM2bnzp0aP368MjIytG/fPo0dO1Zjx47VgQMHWnpLAAAAlmjx5Ppbb71Vt956q89jhmFo+fLlmjt3rm6//XZJ0rPPPqv4+Hht2rRJd911lw4dOqTCwkK98847Gjp0qCRp5cqVuu222/Too4+qW7dueu655+R2u7V69WrZbDZde+21Kisr09KlS80O2ooVKzR69GjNnDlTkrRw4UIVFRVp1apVKigoaNE9ud1uud3ulj6Ky+7snIIxP4kc/YUc/YMc/YMc/SNY8mLl+uASZhgX/3TCwsL04osvauzYsZKkv/71r/rOd76jffv2adCgQWbcTTfdpEGDBmnFihVavXq1cnJy9MUXX5jH6+vrZbfbtXHjRv34xz/WPffco+rqaq9hzDfeeEMjRozQyZMn1alTJ3Xv3l3Z2dmaPn26GTNv3jxt2rRJ7733ns98a2trVVtba/5cXV2txMREzZ49W3a7/WIfAwAAPtXU1CgvL09VVVVyOByWtl1dXa2oqCiNvG6W2kREWtp2fUOtig88HJD7DnZ+nVzvcrkkSfHx8V774+PjzWMul0txcXFex9u0aaOYmBivGF/XOLuN5mIaj/uyePFiRUVFmVtiYmJLbxEAgNalcTkJqzf49K1ax2vOnDnKzs42f26seGVlZSk2NjaAmfnmdru1ZMkSSVJOTo5sNluAM2qKHP2DHP2DHP2DHP3D7XZr0aJFgU4j5Jw8eVJZWVl65ZVXFB4ervT0dK1YsUIdOnRo9pyamhrl5ORo/fr1qq2tVVpamh5//HGzgLN27VpNmjTJ57kVFRWKi4vT9u3bdcsttzQ5fuzYMSUkJFxw/n7teDU2XFFRoa5du5r7KyoqzKHHhIQEHT9+3Ou8+vp6nTx50jw/ISFBFRUVXjGNP58v5lw3HxkZqcjIpuVWm80WlH9pz0aO/kGO/kGO/kGO/tEacoT/TJgwQceOHVNRUZHq6uo0adIkTZkyRevWrWv2nBkzZmjLli3auHGjoqKilJmZqTvuuENvv/22JGncuHEaPXq01zn33nuvampqmozSHT582Gv49JvHz8evQ41JSUlKSEhQcXGxua+6ulq7d++W0+mUJDmdTlVWVqq0tNSM2bZtmzwej1JSUsyYN998U3V1dWZMUVGRevfurU6dOpkxZ7fTGNPYDgAAUEgNNTa+oPfUU08pJSVFN9xwg1auXKn169fr6NGjPs+pqqrS008/raVLl2rEiBFKTk7WmjVrtHPnTu3atUuS1K5dOyUkJJhbRESEtm3bpoyMjCbXi4uL84oND29ZV6rFHa9Tp06prKxMZWVlkqQjR46orKxM5eXlCgsL0/Tp0/WrX/1KL7/8svbv36977rlH3bp1Myfg9+3bV6NHj9bkyZO1Z88evf3228rMzNRdd92lbt26SZJ++tOfymazKSMjQwcPHtSGDRu0YsUKr2HCBx54QIWFhVqyZIk+/PBDzZ8/X++++64yMzNbeksAAOAyqK6u9trOfsHtYpSUlCg6OtpcFUGSUlNTFR4ert27d/s8p7S0VHV1dUpNTTX39enTR927d1dJSYnPc5599lm1b99eP/nJT5ocGzRokLp27aof/vCHZsWsJVrc8Xr33Xc1ePBgDR48WJKUnZ2twYMHKzc3V5I0a9YsZWVlacqUKfre976nU6dOqbCw0Outweeee059+vTRyJEjddttt+mGG27wWqMrKipKr732mo4cOaLk5GTl5OQoNzfXa62v66+/XuvWrdOTTz6pgQMH6oUXXtCmTZt03XXXtfghAAAQsgJY8UpMTPR6qW3x4sWXdCsX8oKer3NsNpuio6O99p/rhbynn35aP/3pT9WuXTtzX9euXVVQUKA//OEP+sMf/qDExETdfPPN2rt3b4vuocVzvG6++WadawWKsLAwLViwQAsWLGg2JiYm5pxjsZI0YMAA/fnPfz5nzJ133qk777zz3AkDAICA+PTTT73mQ/maZy1Js2fP1m9+85tzXuvQoUN+za05JSUlOnTokP77v//ba3/v3r3Vu3dv8+frr79ef/nLX7Rs2bImsefyrXqrEQAAWMfhcFzQOl45OTm69957zxnTq1evC3pB75sSEhLkdrtVWVnpVfVq7oW8p556SoMGDVJycvJ58x42bJjeeuut88adjY4XAAChzCMpLABttkCXLl3UpUuX88ad/YJeY8fomy/ofVNycrLatm2r4uJipaenSzrzZmJ5eXmTF/JOnTql559//oKHRMvKyrxWcbgQdLwAAECrcPYLegUFBaqrq2vygt5nn32mkSNH6tlnn9WwYcMUFRWljIwMZWdnKyYmRg6HQ1lZWXI6nRo+fLjX9Tds2KD6+nr9+7//e5O2ly9frqSkJF177bWqqanRU089pW3btum1115r0T3Q8QIAIISF2rcan3vuOWVmZmrkyJHmAqqPPfaYebyurk6HDx/WV199Ze5btmyZGXv2Aqrf9PTTT+uOO+5oMhFfOrMgbk5Ojj777DO1b99eAwYM0Ouvv+5zUdVzoeMFAABajfO9oNezZ88mLwHa7Xbl5+crPz//nNfeuXNns8dmzZqlWbNmtSxZH+h4AQAQygLx7US+1dgsv65cDwAAgObR8QIAALAIQ40AAIQyjyGFWTz052GosTlUvAAAACxCxQsAgFDG5PqgQsULAADAInS8AAAALMJQIwAAIS0AQ41iqLE5VLwAAAAsQsULAIBQxuT6oELFCwAAwCJ0vAAAACzCUCMAAKHMY8jyye6sXN8sKl4AAAAWoeIFAEAoMzxnNqvbhE9UvAAAACxCxQsAgFDGchJBhYoXAACAReh4AQAAWIShRgAAQhnLSQQVKl4AAAAWoeIFAEAoY3J9UKHiBQAAYBE6XgAAABZhqBEAgFBmKABDjdY215pQ8QIAALAIFS9Jbrdbbrc70Gk0cXZOwZifRI7+Qo7+QY7+QY7+ETR5Mbk+qIQZxrf36VRXVysqKkqzZ8+W3W4PdDoAgBBTU1OjvLw8VVVVyeFwWNp24++41IQpahNus7Tteo9br7ueDMh9BzsqXgAAhDKPR5InAG3CFzpekrKyshQbGxvoNJpwu91asmSJJCknJ0c2m7X/xXIhyNE/yNE/yNE/yNE/3G63Fi1aFOg0EGToeEmy2WxB+Zf2bOToH+ToH+ToH+ToH60hR6ARHS8AAEIZk+uDCstJAAAAWISKFwAAoYyKV1Ch4gUAAGAROl4AAAAWYagRAIBQ5jFk+ccTPQw1NoeKFwAAgEWoeAEAEMIMwyPDsHYleavba02oeAEAAFiEihcAAKHMMKyfc8VyEs2i4gUAAGAROl4AAAAWYagRAIBQZgRgOQmGGptFxQsAAMAiVLwAAAhlHo8UZvHyDiwn0SwqXgAAABah4wUAAGARhhoBAAhlTK4PKlS8AAAALELFCwCAEGZ4PDIsnlzPtxqbR8ULAADAIlS8AAAIZczxCipUvAAAACxCxwsAAMAiDDUCABDKPIYUxlBjsKDiBQAAYBEqXgAAhDLDkGT1txqpeDWHihcAAIBF6HgBAABYhKFGAABCmOExZFg8ud5gqLFZVLwAAAAsQsULAIBQZnhk/eR6vtXYHCpeAAAAFqHiBQBACGOOV3Bp9RWv/Px89ezZU3a7XSkpKdqzZ0+gUwIAAJfJyZMnNWHCBDkcDkVHRysjI0OnTp065zlPPvmkbr75ZjkcDoWFhamysvKirvv+++/rxhtvlN1uV2Jioh5++OEW59+qO14bNmxQdna25s2bp71792rgwIFKS0vT8ePHA50aAAC4DCZMmKCDBw+qqKhImzdv1ptvvqkpU6ac85yvvvpKo0eP1kMPPXTR162urtaoUaPUo0cPlZaW6pFHHtH8+fP15JNPtij/Vj3UuHTpUk2ePFmTJk2SJBUUFGjLli1avXq1Zs+efcHXcbvdcrvdlyvNi3Z2TsGYn0SO/kKO/kGO/kGO/hE0eYXQ5PpDhw6psLBQ77zzjoYOHSpJWrlypW677TY9+uij6tatm8/zpk+fLknavn37RV/3ueeek9vt1urVq2Wz2XTttdeqrKxMS5cuPW/H72xhRisdiHW73Wrfvr1eeOEFjR071tw/ceJEVVZW6qWXXmpyTm1trWpra82fq6qq1L17d82YMUORkZFWpA0A+Bapra3VsmXLVFlZqaioKEvbrq6uVlRUlG7QbWqjtpa2Xa86vaWt+vTTT+VwOMz9kZGRl/T7dvXq1crJydEXX3zxz7bq62W327Vx40b9+Mc/Puf527dv1y233KIvvvhC0dHRLbruPffco+rqam3atMmMeeONNzRixAidPHlSnTp1uqB7aLUVr88//1wNDQ2Kj4/32h8fH68PP/zQ5zmLFy/WL3/5yyb7ly1bdllyBABAkv7+979b3vGy2WxKSEjQW66tlrbbqEOHDkpMTPTaN2/ePM2fP/+ir+lyuRQXF+e1r02bNoqJiZHL5bqs13W5XEpKSvKKaeyDuFyu0O94XYw5c+YoOzvb/LmyslI9evRQeXm55X8hQkl1dbUSExOb/JcNWobn6B88R//gOfpH48hKTEyM5W3b7XYdOXIkYEOehmEoLCzMa19z1a7Zs2frN7/5zTmvd+jQIb/lFkittuMVGxuriIgIVVRUeO2vqKhQQkKCz3OaK3FGRUXxPyx+4HA4eI5+wHP0D56jf/Ac/SM8PDDvstntdtnt9oC03RI5OTm69957zxnTq1cvJSQkNHmBrr6+XidPnmz2d/+FuJDrJiQk+OxzNB67UK2242Wz2ZScnKzi4mJzjpfH41FxcbEyMzMDmxwAALhgXbp0UZcuXc4b53Q6VVlZqdLSUiUnJ0uStm3bJo/Ho5SUlItu/0Ku63Q69f/+3/9TXV2d2rY9M2euqKhIvXv3vuBhRqmVLyeRnZ2t3/3ud3rmmWd06NAhTZ06VadPnzbfcgQAAKGjb9++Gj16tCZPnqw9e/bo7bffVmZmpu666y7zjcbPPvtMffr08VrX0+VyqaysTB9//LEkaf/+/SorK9PJkycv+Lo//elPZbPZlJGRoYMHD2rDhg1asWKF1xSmC2K0citXrjS6d+9u2Gw2Y9iwYcauXbsu+Nyamhpj3rx5Rk1NzWXMMPTxHP2D5+gfPEf/4Dn6B8/R//7+978b48ePNzp06GA4HA5j0qRJxpdffmkeP3LkiCHJeOONN8x98+bNMyQ12dasWXPB1zUMw3jvvfeMG264wYiMjDSuvPJKIy8vr8X5t9rlJAAAAFqbVj3UCAAA0JrQ8QIAALAIHS8AAACL0PECAACwyLe245Wfn6+ePXvKbrcrJSXF67XTUPfmm2/qRz/6kbp166awsDCv705JZ1Ybzs3NVdeuXdWuXTulpqbqo48+8oo5efKkJkyYIIfDoejoaGVkZOjUqVNeMe+//75uvPFG2e12JSYm6uGHH26Sy8aNG9WnTx/Z7Xb1799fW7cG5tMWF2Px4sX63ve+p44dOyouLk5jx47V4cOHvWJqamo0bdo0de7cWR06dFB6enqTBfjKy8s1ZswYtW/fXnFxcZo5c6bq6+u9YrZv364hQ4YoMjJSV199tdauXdskn9b6Z/qJJ57QgAEDzIU6nU6n/vSnP5nHeYYXJy8vT2FhYebHgSWe5YWYP3++wsLCvLY+ffqYx3mGuGQtfg8yBKxfv96w2WzG6tWrjYMHDxqTJ082oqOjjYqKikCnZomtW7ca/+///T/jj3/8oyHJePHFF72O5+XlGVFRUcamTZuM9957z/jXf/1XIykpyfj666/NmNGjRxsDBw40du3aZfz5z382rr76amP8+PHm8aqqKiM+Pt6YMGGCceDAAeN//ud/jHbt2hm//e1vzZi3337biIiIMB5++GHjgw8+MObOnWu0bdvW2L9//2V/Bv6QlpZmrFmzxjhw4IBRVlZm3HbbbUb37t2NU6dOmTH333+/kZiYaBQXFxvvvvuuMXz4cOP66683j9fX1xvXXXedkZqaauzbt8/YunWrERsba8yZM8eM+etf/2q0b9/eyM7ONj744ANj5cqVRkREhFFYWGjGtOY/0y+//LKxZcsW43//93+Nw4cPGw899JDRtm1b48CBA4Zh8Awvxp49e4yePXsaAwYMMB544AFzP8/y/ObNm2dce+21xrFjx8ztxIkT5nGeIS7Vt7LjNWzYMGPatGnmzw0NDUa3bt2MxYsXBzCrwPhmx8vj8RgJCQnGI488Yu6rrKw0IiMjjf/5n/8xDMMwPvjgA0OS8c4775gxf/rTn4ywsDDjs88+MwzDMB5//HGjU6dORm1trRnz4IMPGr179zZ//rd/+zdjzJgxXvmkpKQY//Ef/+HXe7TK8ePHDUnGjh07DMM489zatm1rbNy40Yw5dOiQIckoKSkxDONMJzg8PNxwuVxmzBNPPGE4HA7z2c2aNcu49tprvdoaN26ckZaWZv4can+mO3XqZDz11FM8w4vw5ZdfGtdcc41RVFRk3HTTTWbHi2d5YebNm2cMHDjQ5zGeIfzhWzfU6Ha7VVpaqtTUVHNfeHi4UlNTVVJSEsDMgsORI0fkcrm8nk9UVJRSUlLM51NSUqLo6GgNHTrUjElNTVV4eLh2795txvzgBz+QzWYzY9LS0nT48GF98cUXZszZ7TTGtNZ/D1VVVZJkfgy3tLRUdXV1XvfYp08fde/e3etZ9u/f3/zCvXTmGVRXV+vgwYNmzLmeUyj9mW5oaND69et1+vRpOZ1OnuFFmDZtmsaMGdPkfnmWF+6jjz5St27d1KtXL02YMEHl5eWSeIbwj29dx+vzzz9XQ0OD118KSYqPj5fL5QpQVsGj8Rmc6/m4XC7FxcV5HW/Tpo1iYmK8Ynxd4+w2motpjf8ePB6Ppk+fru9///u67rrrJJ25P5vNpujoaK/Ybz7Li31O1dXV+vrrr0Piz/T+/fvVoUMHRUZG6v7779eLL76ofv368QxbaP369dq7d68WL17c5BjP8sKkpKRo7dq1Kiws1BNPPKEjR47oxhtv1JdffskzhF+02o9kA8Fk2rRpOnDggN56661Ap9Iq9e7dW2VlZaqqqtILL7ygiRMnaseOHYFOq1X59NNP9cADD6ioqEh2uz3Q6bRat956q/nPAwYMUEpKinr06KHnn39e7dq1C2BmCBXfuopXbGysIiIimryFUlFRoYSEhABlFTwan8G5nk9CQoKOHz/udby+vl4nT570ivF1jbPbaC6mtf17yMzM1ObNm/XGG2/oqquuMvcnJCTI7XarsrLSK/6bz/Jin5PD4VC7du1C4s+0zWbT1VdfreTkZC1evFgDBw7UihUreIYtUFpaquPHj2vIkCFq06aN2rRpox07duixxx5TmzZtFB8fz7O8CNHR0frud7+rjz/+mD+P8ItvXcfLZrMpOTlZxcXF5j6Px6Pi4mI5nc4AZhYckpKSlJCQ4PV8qqurtXv3bvP5OJ1OVVZWqrS01IzZtm2bPB6PUlJSzJg333xTdXV1ZkxRUZF69+6tTp06mTFnt9MY01r+PRiGoczMTL344ovatm2bkpKSvI4nJyerbdu2Xvd4+PBhlZeXez3L/fv3e3Vki4qK5HA41K9fPzPmXM8pFP9Mezwe1dbW8gxbYOTIkdq/f7/KysrMbejQoZowYYL5zzzLljt16pT+8pe/qGvXrvx5hH8EenZ/IKxfv96IjIw01q5da3zwwQfGlClTjOjoaK+3UELZl19+aezbt8/Yt2+fIclYunSpsW/fPuNvf/ubYRhnlpOIjo42XnrpJeP99983br/9dp/LSQwePNjYvXu38dZbbxnXXHON13ISlZWVRnx8vHH33XcbBw4cMNavX2+0b9++yXISbdq0MR599FHj0KFDxrx581rVchJTp041oqKijO3bt3u9ev7VV1+ZMffff7/RvXt3Y9u2bca7775rOJ1Ow+l0mscbXz0fNWqUUVZWZhQWFhpdunTx+er5zJkzjUOHDhn5+fk+Xz1vrX+mZ8+ebezYscM4cuSI8f777xuzZ882wsLCjNdee80wDJ7hpTj7rUbD4FleiJycHGP79u3GkSNHjLfffttITU01YmNjjePHjxuGwTPEpftWdrwMwzBWrlxpdO/e3bDZbMawYcOMXbt2BToly7zxxhuGpCbbxIkTDcM4s6TEL37xCyM+Pt6IjIw0Ro4caRw+fNjrGn//+9+N8ePHGx06dDAcDocxadIk48svv/SKee+994wbbrjBiIyMNK688kojLy+vSS7PP/+88d3vftew2WzGtddea2zZsuWy3be/+XqGkow1a9aYMV9//bXxn//5n0anTp2M9u3bGz/+8Y+NY8eOeV3nk08+MW699VajXbt2RmxsrJGTk2PU1dV5xbzxxhvGoEGDDJvNZvTq1curjUat9c/0fffdZ/To0cOw2WxGly5djJEjR5qdLsPgGV6Kb3a8eJbnN27cOKNr166GzWYzrrzySmPcuHHGxx9/bB7nGeJShRmGYQSm1gYAAPDt8q2b4wUAABAodLwAAAAsQscLAADAInS8AAAALELHCwAAwCJ0vAAAACxCxwsAAMAidLwAAAAsQscLAADAInS8AAAALELHCwAAwCJ0vAAAACzy/wHl0YYN+YxiwAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "finf = np.loadtxt(os.path.join(\"..\", \"data\", \"uzf_examples\", \"finf.dat\"))\n",
    "finf = np.reshape(finf, (m.nper, m.nrow, m.ncol))\n",
    "finf = {i: finf[i] for i in range(finf.shape[0])}\n",
    "\n",
    "# plot using PlotMapView\n",
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.add_subplot(1, 1, 1, aspect=\"equal\")\n",
    "mapview = flopy.plot.PlotMapView(model=m)\n",
    "quadmesh = mapview.plot_array(finf[0])\n",
    "plt.colorbar(quadmesh)\n",
    "linecollection = mapview.plot_grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:06.106846Z",
     "iopub.status.busy": "2022-12-15T13:22:06.106349Z",
     "iopub.status.idle": "2022-12-15T13:22:06.320774Z",
     "shell.execute_reply": "2022-12-15T13:22:06.319596Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(\n",
    "    m.dis.perlen.array.cumsum() / 864600,\n",
    "    [a.mean() * 86400 * 365 * 12 for a in finf.values()],\n",
    "    marker=\"o\",\n",
    ")\n",
    "plt.xlabel(\"Time, in days\")\n",
    "plt.ylabel(\"Average infiltration rate, inches per year\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `extwc` (extinction water content) array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:06.325189Z",
     "iopub.status.busy": "2022-12-15T13:22:06.324865Z",
     "iopub.status.idle": "2022-12-15T13:22:06.683117Z",
     "shell.execute_reply": "2022-12-15T13:22:06.681111Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AANiYT075QlwXCXV/F5N9jgQAAKCDUVECAMDG/IZDfiPEywOEuL+LiYoSAACABSpKAADYmD8Mc5T8NqrD2OdIAAAAOhiJEgAAgAWG3gAAsDG/4ZQ/xCtlh7q/i8k+RwIAANDBqCgBAGBjPjnkU2gv1w91fxcTFSUAAAALJEoAAAAWGHoDAMDGmMwdHPscCQAAQAejogQAgI35FPrJ1b6Q9nZxUVECAACwQEUJAAAbY45ScOxzJAAAAB2MRAkAAMACQ28AANiYz3DKF+KhsFD3dzHZ50gAAAA6GBUlAABszJBD/hAvD2Bcyt/19tFHH+lf/uVfdPnll6tTp04aPHiw3nnnHXO/YRgqKipS79691alTJ2VnZ+uDDz4IeI5PP/1UEydOVHx8vLp3764pU6bo5MmTAW3effdd3XDDDXK73UpJSdHixYtbxLJp0yYNHDhQbrdbgwcP1tatW9t6OAAAIEKUlJQoNTVVbrdbmZmZ2rNnj2XbgwcPaty4cUpNTZXD4dCKFStatPH5fPrJT36itLQ0derUSf/wD/+gRx55RIZhXHBMbUqUPvvsM1133XWKjY3Vb37zGx06dEhLly5Vjx49zDaLFy/WE088odLSUu3evVtdunRRTk6OTp8+bbaZOHGiDh48qPLycr366qvauXOn7r33XnN/fX29xowZo/79+6uqqkqPP/645s+fr6efftps89Zbb+muu+7SlClTtG/fPo0dO1Zjx47VgQMH2nJIAAAgAmzcuFGFhYWaN2+e9u7dq6FDhyonJ0d1dXWttv/iiy905ZVXatGiRUpOTm61zWOPPabVq1dr1apVeu+99/TYY49p8eLFevLJJy84rjYNvT322GNKSUnR2rVrzW1paWnmz4ZhaMWKFXr44Yd1xx13SJL+4z/+Q0lJSdq8ebPuvPNOvffeeyorK9Pbb7+tkSNHSpKefPJJffvb39aSJUvUp08fvfDCC/J6vVqzZo1cLpeuvvpqVVdXa9myZWZCtXLlSn3rW9/S7NmzJUmPPPKIysvLtWrVKpWWlrblsOT1euX1etv0mFBoHpO3MSaMkVhrHpczNjJLrc3jioYYo+H/mhjbL+pijMD3Rukr749REGM4Rctk7mXLlmnq1KmaPHmyJKm0tFRbtmzRmjVrNGfOnBbtR40apVGjRklSq/uls0WVO+64Q7m5uZKk1NRU/fKXvzxnpeqr2pQovfLKK8rJydH48eO1Y8cOXXHFFfrxj3+sqVOnSpKOHDkij8ej7Oxs8zEJCQnKzMxUZWWl7rzzTlVWVqp79+5mkiRJ2dnZcjqd2r17t773ve+psrJSN954o1wul9kmJydHjz32mD777DP16NFDlZWVKiwsDIgvJydHmzdvtoy/oaFBDQ0N5v36+npJZxM1t9vdllMRcst/MT7cIZzX6Nnp4Q7hvKIhxmj4vybGjhENMS5dujTcIZxXNMSIc/N6vaqqqtLcuXPNbU6nU9nZ2aqsrGz3837zm9/U008/rT/+8Y/6xje+oT/84Q968803tWzZsgt+jjYlSn/+85+1evVqFRYW6qGHHtLbb7+tf/u3f5PL5VJeXp48Ho8kKSkpKeBxSUlJ5j6Px6NevXoFBnHZZerZs2dAm+aVqubP6fF41KNHD3k8nnP205ri4mL99Kc/bcshAwAQ1fyGQ34jtNX0pv6aChJN4uLiFBcX16L9J598Ip/P1+rn+vvvv9/uOObMmaP6+noNHDhQMTEx8vl8WrhwoSZOnHjBz9GmRMnv92vkyJH62c9+JkkaPny4Dhw4oNLSUuXl5bUt+jCYO3duQBWqvr5eKSkpyr9zsxJ7hjEwC97GGPMvzpmTNskVG3lfMxhtMe56/JD8jRc+iS9UnLEOs9pFjO3XPMZo+H0kxvaLltf1sOlXhjuMsEpJSQm4P2/ePM2fPz9k/b/44ot64YUXtH79enMaz4wZM9SnT58LzlvalCj17t1b6emBQxeDBg3Sf/3Xf0mSOZmqtrZWvXv3NtvU1tZq2LBhZpuvTsw6c+aMPv30U/PxycnJqq2tDWjTdP98bawmdEnWmawr1idXrOXDIsLZGCPvzaq5aIjR32hE5Btqc8TYMaLh95EYO0Y0/D6Gk09O+UK8bGJTfx9++KHi4+PN7a19BktSYmKiYmJi2vy5fj6zZ8/WnDlzdOedd0qSBg8erL/+9a8qLi6+4ESpTWfuuuuu0+HDhwO2/fGPf1T//v0lnZ3YnZycrIqKCnN/fX29du/eraysLElSVlaWjh8/rqqqKrPNtm3b5Pf7lZmZabbZuXOnGhsbzTbl5eW66qqrzCvssrKyAvppatPUDwAACK/4+PiAm1Wi5HK5lJGREfC57vf7VVFREdTn+hdffCGnMzDViYmJkd/vv+DnaFOiNHPmTO3atUs/+9nP9Kc//Unr16/X008/rfz8fEmSw+HQjBkz9Oijj+qVV17R/v37dffdd6tPnz4aO3aspLMVqG9961uaOnWq9uzZo9///vcqKCjQnXfeqT59+kiS/vmf/1kul0tTpkzRwYMHtXHjRq1cuTJg2Oz+++9XWVmZli5dqvfff1/z58/XO++8o4KCgrYcEgAAiACFhYV65pln9Pzzz+u9997TtGnTdOrUKfMquLvvvjtgsrfX61V1dbWqq6vl9Xr10Ucfqbq6Wn/605/MNt/97ne1cOFCbdmyRX/5y1/00ksvadmyZfre9753wXG1aeht1KhReumllzR37lwtWLBAaWlpWrFiRcCkqAceeECnTp3Svffeq+PHj+v6669XWVlZwFVlL7zwggoKCnTbbbfJ6XRq3LhxeuKJJ8z9CQkJev3115Wfn6+MjAwlJiaqqKgoYK2lb37zm1q/fr0efvhhPfTQQ/r617+uzZs365prrmnLIQEAYGvhnMzdFhMmTNCxY8dUVFQkj8ejYcOGqayszJzgXVNTE1AdOnr0qIYPH27eX7JkiZYsWaKbbrpJ27dvl3T2qvaf/OQn+vGPf6y6ujr16dNH//qv/6qioqILjqvNX2Hyne98R9/5zncs9zscDi1YsEALFiywbNOzZ0+tX7/+nP0MGTJEv/vd787ZZvz48Ro/PvIvrwUAAOdXUFBgOTLUlPw0SU1NPe8K2926ddOKFStaXbX7QvFdbwAA2JhfTvlDPJk71P1dTPY5EgAAgA5GogQAAGCBoTcAAGzMZzjkC/Fk7lD3dzFRUQIAALBARQkAABuLluUBIhUVJQAAAAtUlAAAsDHDcMpvhLYuYoS4v4vJPkcCAADQwUiUAAAALDD0BgCAjfnkkE8hXh4gxP1dTFSUAAAALFBRAgDAxvxG6C/X95/7u2qjChUlAAAACyRKAAAAFhh6AwDAxvxhWEcp1P1dTPY5EgAAgA5GRQkAABvzyyF/iC/XD3V/FxMVJQAAAAtUlAAAsDGf4ZAvxMsDhLq/i4mKEgAAgAUSJQAAAAsMvQEAYGMsDxAc+xwJAABAB6OiBACAjfnlCP13vbE8AAAAgP2RKAEAAFhg6A0AABszwrAyt8HQGwAAgP1RUQIAwMb8Rhgmc7MyNwAAgP1RUQIAwMZYcDI49jkSAACADkZFSZK3MUbexnBH0ZK3MabVnyNJtMXojI3McfPmcRFj+zWPKxp+H4mx/aLtdY3o5TAMwwh3EOFSX1+vhIQEzZkzR263O9zhAABs5vTp01q0aJFOnDih+Pj4kPbd9Bl3x+v3KLaLK6R9N57y6uUxa8Jy3B2NoTcAAAALDL1Jyr9zsxJ7hjuKlryNMVr+i/GSpJmTNskV6wtzRC1FW4y7Hj8kf2PkFVGdsQ6Nnp0uiRiDQYwdgxg7hjPWoWHTrwx3GGe/6y3EC0Da6bveSJQkuWJ9csWGO4pzOxtj5CUhzUVDjP5GIyLfUJsjxo5BjB2DGHGpY+gNAADAAhUlAABsjJW5g0NFCQAAwAIVJQAAbIyKUnCoKAEAAFggUQIAALDA0BsAADbG0FtwqCgBAABYoKIEAICNUVEKDhUlAAAAC1SUAACwMUOh/+41O32hDBUlAAAACyRKAAAAFhh6AwDAxpjMHRwqSgAAABaoKAEAYGNUlIJDRQkAAMACiRIAAIAFht4AALAxht6CQ0UJAADAAhUlAABsjIpScKgoAQAAWKCiBACAjRmGQ0aIKzyh7u9ioqIEAABggUQJAADAAkNvAADYmF8O+RXiydwh7u9ioqIEAABggYoSAAA2xvIAwaGiBAAAYIFECQAAwAJDbwAA2BjrKAWHihIAAIAFKkoAANgYk7mD06aK0vz58+VwOAJuAwcONPefPn1a+fn5uvzyy9W1a1eNGzdOtbW1Ac9RU1Oj3Nxcde7cWb169dLs2bN15syZgDbbt2/XiBEjFBcXpwEDBmjdunUtYikpKVFqaqrcbrcyMzO1Z8+ethwKAADAebV56O3qq6/Wxx9/bN7efPNNc9/MmTP161//Wps2bdKOHTt09OhRff/73zf3+3w+5ebmyuv16q233tLzzz+vdevWqaioyGxz5MgR5ebm6pZbblF1dbVmzJihH/3oR3rttdfMNhs3blRhYaHmzZunvXv3aujQocrJyVFdXV17zwMAALbUNEcp1De7aHOidNlllyk5Odm8JSYmSpJOnDih5557TsuWLdOtt96qjIwMrV27Vm+99ZZ27dolSXr99dd16NAh/ed//qeGDRum22+/XY888ohKSkrk9XolSaWlpUpLS9PSpUs1aNAgFRQU6Ac/+IGWL19uxrBs2TJNnTpVkydPVnp6ukpLS9W5c2etWbOmI84JAACApHbMUfrggw/Up08fud1uZWVlqbi4WP369VNVVZUaGxuVnZ1tth04cKD69eunyspKjR49WpWVlRo8eLCSkpLMNjk5OZo2bZoOHjyo4cOHq7KyMuA5mtrMmDFDkuT1elVVVaW5c+ea+51Op7Kzs1VZWdnWwzn7nI0x8ja266EXlbcxptWfI0m0xeiMjcy/cprHRYztR4wdgxg7RqTGhbZpU6KUmZmpdevW6aqrrtLHH3+sn/70p7rhhht04MABeTweuVwude/ePeAxSUlJ8ng8kiSPxxOQJDXtb9p3rjb19fX68ssv9dlnn8nn87Xa5v333z9n/A0NDWpoaDDv19fXS5JKNoyV2+2+wLMQHst/MT7cIZxXNMQ4enZ6uEM4L2LsGMTYMYgxOKdPnw53CDLCMJnbTkNvbUqUbr/9dvPnIUOGKDMzU/3799eLL76oTp06dXhwHa24uFg//elPwx0GAACIEkEtD9C9e3d94xvf0J/+9Cf94z/+o7xer44fPx5QVaqtrVVycrIkKTk5ucXVaU1XxTVv89Ur5WpraxUfH69OnTopJiZGMTExrbZpeg4rc+fOVWFhoXm/vr5eKSkpyr9zsxJ7tu3YQ8HbGGNWaWZO2iRXrC/MEbUUbTHuevyQ/I1GmCNqyRnrMP8qJsb2I8aO0TzGaHhdR3KMxc98N9xhyJBkhPjXLPJ+q9svqETp5MmT+p//+R9NmjRJGRkZio2NVUVFhcaNGydJOnz4sGpqapSVlSVJysrK0sKFC1VXV6devXpJksrLyxUfH6/09HSzzdatWwP6KS8vN5/D5XIpIyNDFRUVGjt2rCTJ7/eroqJCBQUF54w3Li5OcXFxLba7Yn1yxbb/PITC2Rgj742guWiI0d9oROQHU3PE2DGIsWNEw+s6GmJE9GrTVW///u//rh07dugvf/mL3nrrLX3ve99TTEyM7rrrLiUkJGjKlCkqLCzUb3/7W1VVVWny5MnKysrS6NGjJUljxoxRenq6Jk2apD/84Q967bXX9PDDDys/P99MYO677z79+c9/1gMPPKD3339fTz31lF588UXNnDnTjKOwsFDPPPOMnn/+eb333nuaNm2aTp06pcmTJ3fgqQEAAJe6NlWU/t//+3+666679Le//U1f+9rXdP3112vXrl362te+Jklavny5nE6nxo0bp4aGBuXk5Oipp54yHx8TE6NXX31V06ZNU1ZWlrp06aK8vDwtWLDAbJOWlqYtW7Zo5syZWrlypfr27atnn31WOTk5ZpsJEybo2LFjKioqksfj0bBhw1RWVtZigjcAAJc6vxxyKMQrc4e4v4upTYnShg0bzrnf7XarpKREJSUllm369+/fYmjtq26++Wbt27fvnG0KCgrOO9QGAAAQDL7rDQAAGwvHStl2Wh6gzStzAwAAXCqoKAEAYGN+wyFHiCs8oV7g8mKiogQAAGCBRAkAAMACQ28AANiYYYRhZe7IXke1TagoAQAAWKCiBACAjbE8QHCoKAEAAFggUQIAALDA0BsAADbG0FtwqCgBAABYoKIEAICNsTJ3cKgoAQAAWKCiBACAjbHgZHCoKAEAAFggUQIAALDA0BsAADZ2dugt1MsDhLS7i4qKEgAAgAUqSgAA2BgLTgaHihIAAIAFEiUAAAALDL0BAGBjxt9voe7TLqgoAQAAWKCiBACAjTGZOzhUlAAAACxQUQIAwM6YpBQUKkoAAAAWSJQAAAAsMPQGAICdhWEyt5jMDQAA0LFKSkqUmpoqt9utzMxM7dmzx7LtwYMHNW7cOKWmpsrhcGjFihWttvvoo4/0L//yL7r88svVqVMnDR48WO+8884Fx0SiBACAjRlGeG5ttXHjRhUWFmrevHnau3evhg4dqpycHNXV1bXa/osvvtCVV16pRYsWKTk5udU2n332ma677jrFxsbqN7/5jQ4dOqSlS5eqR48eFxwXQ28AACDsli1bpqlTp2ry5MmSpNLSUm3ZskVr1qzRnDlzWrQfNWqURo0aJUmt7pekxx57TCkpKVq7dq25LS0trU1xkShJ8jbGyNsY7iha8jbGtPpzJIm2GJ2xkTlu3jwuYmw/YuwYzeOKhtd1NMSIc/N6vaqqqtLcuXPNbU6nU9nZ2aqsrGz3877yyivKycnR+PHjtWPHDl1xxRX68Y9/rKlTp17wc5AoSSrZMFZutzvcYZzT8l+MD3cI5xUNMY6enR7uEM6LGDsGMXaMaHhdR3aMp8MdQFhX5q6vrw/YHhcXp7i4uBbtP/nkE/l8PiUlJQVsT0pK0vvvv9/uOP785z9r9erVKiws1EMPPaS3335b//Zv/yaXy6W8vLwLeg7mKAEAgIsiJSVFCQkJ5q24uDik/fv9fo0YMUI/+9nPNHz4cN17772aOnWqSktLL/g5qChJyr9zsxJ7hjuKlryNMeZfSjMnbZIr1hfmiFqKthh3PX5I/sbIWzLWGeswqwvE2H7E2DGaxxgNr+tZs2bJ5XKFOaKWvF6vFi5cGO4wzl6qH6blAT788EPFx8ebm1urJklSYmKiYmJiVFtbG7C9trbWcqL2hejdu7fS0wMrt4MGDdJ//dd/XfBzkChJcsX65IoNdxTndjbGyHuzai4aYvQ3GhH5wdQcMXYMYuwY0fC6drlcEZkoQYqPjw9IlKy4XC5lZGSooqJCY8eOlXS2GlRRUaGCgoJ293/dddfp8OHDAdv++Mc/qn///hf8HCRKAAAg7AoLC5WXl6eRI0fq2muv1YoVK3Tq1CnzKri7775bV1xxhTl85/V6dejQIfPnjz76SNXV1eratasGDBggSZo5c6a++c1v6mc/+5n+6Z/+SXv27NHTTz+tp59++oLjIlECAMDG2ruuUbB9ttWECRN07NgxFRUVyePxaNiwYSorKzMneNfU1Mjp/N+p1UePHtXw4cPN+0uWLNGSJUt00003afv27ZLOLiHw0ksvae7cuVqwYIHS0tK0YsUKTZw48YLjIlECAAARoaCgwHKorSn5aZKamirjAjKy73znO/rOd77T7phIlAAAsDPj77dQ92kTLA8AAABggYoSAAA2Fs4FJ+2AihIAAIAFEiUAAAALDL0BAGB3NppcHWpUlAAAACxQUQIAwMaYzB0cKkoAAAAWSJQAAAAsMPQGAICdsTJ3UKgoAQAAWKCiBACArTn+fgt1n/ZARQkAAMACFSUAAOyMOUpBoaIEAABggUQJAADAAkNvAADYGUNvQaGiBAAAYIGKEgAAdmY4zt5C3adNUFECAACwQKIEAABggaE3AABszDDO3kLdp11QUQIAALBARQkAADtjeYCgUFECAACwQEUJAAA7Y3mAoFBRAgAAsECiBAAAYIGhNwAAbMxhnL2Fuk+7CKqitGjRIjkcDs2YMcPcdvr0aeXn5+vyyy9X165dNW7cONXW1gY8rqamRrm5uercubN69eql2bNn68yZMwFttm/frhEjRiguLk4DBgzQunXrWvRfUlKi1NRUud1uZWZmas+ePcEcDgAAQIB2J0pvv/22fv7zn2vIkCEB22fOnKlf//rX2rRpk3bs2KGjR4/q+9//vrnf5/MpNzdXXq9Xb731lp5//nmtW7dORUVFZpsjR44oNzdXt9xyi6qrqzVjxgz96Ec/0muvvWa22bhxowoLCzVv3jzt3btXQ4cOVU5Ojurq6tp7SAAA2I8RpptNtCtROnnypCZOnKhnnnlGPXr0MLefOHFCzz33nJYtW6Zbb71VGRkZWrt2rd566y3t2rVLkvT666/r0KFD+s///E8NGzZMt99+ux555BGVlJTI6/VKkkpLS5WWlqalS5dq0KBBKigo0A9+8AMtX77c7GvZsmWaOnWqJk+erPT0dJWWlqpz585as2ZNMOcDAADA1K45Svn5+crNzVV2drYeffRRc3tVVZUaGxuVnZ1tbhs4cKD69eunyspKjR49WpWVlRo8eLCSkpLMNjk5OZo2bZoOHjyo4cOHq7KyMuA5mto0DfF5vV5VVVVp7ty55n6n06ns7GxVVla2+Xi8jTHyNrb5YRedtzGm1Z8jSbTF6IyNzEtWm8dFjO1HjB2jeVzR8Lpu+iM70kRqXGibNidKGzZs0N69e/X222+32OfxeORyudS9e/eA7UlJSfJ4PGab5klS0/6mfedqU19fry+//FKfffaZfD5fq23ef/99y9gbGhrU0NBg3q+vr5cklWwYK7fbfa7DDrvlvxgf7hDOKxpiHD07PdwhnBcxdgxi7BjR8LpeunRpuEOIbKyjFJQ2Db19+OGHuv/++/XCCy9EfGLRmuLiYiUkJJi3lJSUcIcEAAAiWJsqSlVVVaqrq9OIESPMbT6fTzt37tSqVav02muvyev16vjx4wFVpdraWiUnJ0uSkpOTW1yd1nRVXPM2X71Srra2VvHx8erUqZNiYmIUExPTapum52jN3LlzVVhYaN6vr69XSkqKpk+frsTExDacidDwer3mX0ozJ22SK9YX5oha8jbGmH9xRkOMux4/JH9j5M0ydMY6zOoCMbZftMUYDa+ZaIhx1qxZcrlcYY6oJa/Xq4ULF4Y7DL7rLUhtSpRuu+027d+/P2Db5MmTNXDgQD344INKSUlRbGysKioqNG7cOEnS4cOHVVNTo6ysLElSVlaWFi5cqLq6OvXq1UuSVF5ervj4eKWnp5tttm7dGtBPeXm5+Rwul0sZGRmqqKjQ2LFjJUl+v18VFRUqKCiwjD8uLk5xcXEttrtcroh8kTXnivVF5JtVc9EQo7/RiMgPz+aIsWNEQ4zR8JqJihij4D0c0atNiVK3bt10zTXXBGzr0qWLLr/8cnP7lClTVFhYqJ49eyo+Pl7Tp09XVlaWRo8eLUkaM2aM0tPTNWnSJC1evFgej0cPP/yw8vPzzSTmvvvu06pVq/TAAw/onnvu0bZt2/Tiiy9qy5YtZr+FhYXKy8vTyJEjde2112rFihU6deqUJk+eHNQJAQDAVqgoBaXDV+Zevny5nE6nxo0bp4aGBuXk5Oipp54y98fExOjVV1/VtGnTlJWVpS5duigvL08LFiww26SlpWnLli2aOXOmVq5cqb59++rZZ59VTk6O2WbChAk6duyYioqK5PF4NGzYMJWVlbWY4A0AANBeQSdK27dvD7jvdrtVUlKikpISy8f079+/xdDaV918883at2/fOdsUFBScc6gNAAAgGHzXGwAAdsbQW1CC+q43AAAAO6OiBACAnbHgZFCoKAEAAFggUQIAALDA0BsAADbmMM7eQt2nXVBRAgAAsEBFCQAAO2N5gKBQUQIAALBAogQAAGCBRAkAAMACiRIAAIAFJnMDAGBjDoVheYDQdndRUVECAACwQEUJAAA747vegkJFCQAAwAKJEgAAgAWG3gAAsDNW5g4KFSUAAAALVJQAALAzKkpBoaIEAABggYoSAAA25jDCsOAkFSUAAAD7I1ECAACwwNAbAAB2xmTuoFBRAgAAsEBFCQAAO6OiFBQqSgAAABZIlAAAACww9AYAgI2xjlJwqCgBAABYoKIEAICdGY6zt1D3aRNUlAAAACxQUZLk9Xrl9XrDHUYLzWPyNsaEMRJrzeOKhhidsZH5V07zuIix/aItxmh4zURFjBH4/i1FblxoG4dhGDaactU29fX1SkhI0Jw5c+R2u8MdDgDAZk6fPq1FixbpxIkTio+PD2nfTZ9xafN/JmeIP+P8p0/ryPyHwnLcHY2hNwAAAAsMvUmaPn26EhMTwx1GC16vV0uXLpUkzZy0Sa5YX5gjasnbGKPlvxgvKTpi3PX4IfkbI6+I6ox1aPTsdEnEGIxoizEaXjPREOOsWbPkcrnCHFFLXq9XCxcuDHcYLA8QJBIlSS6XKyJfZM25Yn0R+WbVXDTE6G80IvLDszli7BjREGM0vGaiIsYoeA9H9CJRAgDAzviut6AwRwkAAMACiRIAAIAFht4AALCzMEzmZugNAADgEkBFCQAAO2Myd1CoKAEAAFggUQIAALDA0BsAAHbG0FtQqCgBAABYoKIEAICN8V1vwaGiBAAAYIFECQAAwAKJEgAAgAUSJQAAAAtM5gYAwM5YHiAoVJQAAAAsUFECAMDGWB4gOFSUAAAALJAoAQAAWGDoDQAAu7PRUFioUVECAACwQEUJAAA7Y3mAoFBRAgAAsEBFCQAAG2N5gOBQUQIAALBAogQAAGCBoTcAAOyMydxBoaIEAABggYoSAAA2xmTu4FBRAgAAsECiBAAAYIGhNwAA7IzJ3EGhogQAAGChTYnS6tWrNWTIEMXHxys+Pl5ZWVn6zW9+Y+4/ffq08vPzdfnll6tr164aN26camtrA56jpqZGubm56ty5s3r16qXZs2frzJkzAW22b9+uESNGKC4uTgMGDNC6detaxFJSUqLU1FS53W5lZmZqz549bTkUAAAuDUaYbu3Qls/2gwcPaty4cUpNTZXD4dCKFSvO+dyLFi2Sw+HQjBkz2hRTmxKlvn37atGiRaqqqtI777yjW2+9VXfccYcOHjwoSZo5c6Z+/etfa9OmTdqxY4eOHj2q73//++bjfT6fcnNz5fV69dZbb+n555/XunXrVFRUZLY5cuSIcnNzdcstt6i6ulozZszQj370I7322mtmm40bN6qwsFDz5s3T3r17NXToUOXk5Kiurq5NBw8AACJDWz/bv/jiC1155ZVatGiRkpOTz/ncb7/9tn7+859ryJAhbY6rTXOUvvvd7wbcX7hwoVavXq1du3apb9++eu6557R+/XrdeuutkqS1a9dq0KBB2rVrl0aPHq3XX39dhw4d0htvvKGkpCQNGzZMjzzyiB588EHNnz9fLpdLpaWlSktL09KlSyVJgwYN0ptvvqnly5crJydHkrRs2TJNnTpVkydPliSVlpZqy5YtWrNmjebMmdPmk+D1euX1etv8uIuteUzexpgwRmKteVzREKMz1hHGSKw1j4sY2y/aYoyG10xUxBiB799S5MQVLcsDtPWzfdSoURo1apQknfOz/+TJk5o4caKeeeYZPfroo22Oq92TuX0+nzZt2qRTp04pKytLVVVVamxsVHZ2ttlm4MCB6tevnyorKzV69GhVVlZq8ODBSkpKMtvk5ORo2rRpOnjwoIYPH67KysqA52hq01Qq83q9qqqq0ty5c839TqdT2dnZqqysPGfMDQ0NamhoMO/X19dLkp588km53e72noqQWP6L8eEO4byiIcbRs9PDHcJ5EWPHiIYYo+E1Ew0xNv1hjcjT9DnbJC4uTnFxcS3aBfPZfj75+fnKzc1VdnZ2uxKlNk/m3r9/v7p27aq4uDjdd999eumll5Seni6PxyOXy6Xu3bsHtE9KSpLH45EkeTyegCSpaX/TvnO1qa+v15dffqlPPvlEPp+v1TZNz2GluLhYCQkJ5i0lJaWthw8AAC5QSkpKwOducXFxq+2C+Ww/lw0bNmjv3r2W/V6INleUrrrqKlVXV+vEiRP61a9+pby8PO3YsaPdAYTS3LlzVVhYaN6vr69XSkqKpk+frsTExDBG1jqv12v+pTRz0ia5Yn1hjqglb2OM+RdnNMS46/FD8jdG3nWrzliHWQEhxvaLthij4TVDjO3nbYxR8TPfPX/Diy2MywN8+OGHio+PNze3Vk26WD788EPdf//9Ki8vD2rUqM2Jksvl0oABAyRJGRkZevvtt7Vy5UpNmDBBXq9Xx48fD6gq1dbWmpOskpOTW8xgb7oqrnmbr14pV1tbq/j4eHXq1EkxMTGKiYlptc35JnNZlfxcLpdcLtcFHH34uGJ9EflG0Fw0xOhvNCLyw7M5YuwY0RBjNLxmiBHBaLpK/nwSExPb/dlupaqqSnV1dRoxYoS5zefzaefOnVq1apUaGhoUE3P+OXhBr6Pk9/vV0NCgjIwMxcbGqqKiwtx3+PBh1dTUKCsrS5KUlZWl/fv3B8xgLy8vV3x8vNLT0802zZ+jqU3Tc7hcLmVkZAS08fv9qqioMNsAAIC/i4LlAS7GZ/ttt92m/fv3q7q62ryNHDlSEydOVHV19QUlSVIbK0pz587V7bffrn79+unzzz/X+vXrtX37dr322mtKSEjQlClTVFhYqJ49eyo+Pl7Tp09XVlaWRo8eLUkaM2aM0tPTNWnSJC1evFgej0cPP/yw8vPzzUrPfffdp1WrVumBBx7QPffco23btunFF1/Uli1bzDgKCwuVl5enkSNH6tprr9WKFSt06tQpc6Y8AACILuf7bL/77rt1xRVXmPONvF6vDh06ZP780Ucfqbq6Wl27dtWAAQPUrVs3XXPNNQF9dOnSRZdffnmL7efSpkSprq5Od999tz7++GMlJCRoyJAheu211/SP//iPkqTly5fL6XRq3LhxamhoUE5Ojp566inz8TExMXr11Vc1bdo0ZWVlqUuXLsrLy9OCBQvMNmlpadqyZYtmzpyplStXqm/fvnr22WfNpQEkacKECTp27JiKiork8Xg0bNgwlZWVtZgEBgAAosP5PttramrkdP7vQNjRo0c1fPhw8/6SJUu0ZMkS3XTTTdq+fXuHxdWmROm555475363262SkhKVlJRYtunfv7+2bt16zue5+eabtW/fvnO2KSgoUEFBwTnbAABwqYuWdZSkc3+2fzX5SU1NlWG0raP2JFB81xsAAICFdi84CQAAokAYlwewAypKAAAAFqgoAQBgY9E0RykSUVECAACwQKIEAABggaE3AADsjMncQaGiBAAAYIGKEgAAdkZFKShUlAAAACyQKAEAAFhg6A0AABtz/P0W6j7tgooSAACABSpKAADYGZO5g0JFCQAAwAIVJQAAbIzvegsOFSUAAAALJEoAAAAWGHoDAMDOmMwdFCpKAAAAFqgoAQBgdzaq8IQaFSUAAAALJEoAAAAWGHoDAMDGWEcpOFSUAAAALFBRAgDAzlgeIChUlAAAACyQKAEAAFhg6A0AABtjMndwqCgBAABYoKIEAICdMZk7KFSUAAAALFBRkuT1euX1esMdRgvNY/I2xoQxEmvN44qGGJ2xjjBGYq15XMTYftEWYzS8Zoix/SIlLuYoBcdhGIaNDqdt6uvrlZCQoDlz5sjtdoc7HACAzZw+fVqLFi3SiRMnFB8fH9K+mz7jhtzzM8W4QvsZ5/Oe1rtrHgrLcXc0ht4AAAAsMPQmafr06UpMTAx3GC14vV4tXbpUkjRz0ia5Yn1hjqglb2OMlv9ivKToiHHX44fkb4y8Iqoz1qHRs9MlEWMwoi3GaHjNREOMs2bNksvlCnNELXm9Xi1cuDDcYTCZO0gkSpJcLldEvsiac8X6IvLNqrloiNHfaETkh2dzxNgxoiHGaHjNREWMUfAejuhFogQAgJ1RUQoKc5QAAAAskCgBAABYYOgNAAAbYx2l4FBRAgAAsEBFCQAAO2Myd1CoKAEAAFigogQAgI05DEOOEH9bWaj7u5ioKAEAAFggUQIAALDA0BsAAHbGZO6gUFECAACwQEUJAAAbY8HJ4FBRAgAAsECiBAAAYIGhNwAA7IzJ3EGhogQAAGCBihIAADbGZO7gUFECAACwQEUJAAA7Y45SUKgoAQAAWCBRAgAAsMDQGwAANsZk7uBQUQIAALBARQkAADtjMndQqCgBAABYIFECAACwwNAbAAA2Z6fJ1aFGRQkAAMACFSUAAOzMMM7eQt2nTVBRAgAAsEBFCQAAG2PByeBQUQIAALBAogQAAGChTYlScXGxRo0apW7duqlXr14aO3asDh8+HNDm9OnTys/P1+WXX66uXbtq3Lhxqq2tDWhTU1Oj3Nxcde7cWb169dLs2bN15syZgDbbt2/XiBEjFBcXpwEDBmjdunUt4ikpKVFqaqrcbrcyMzO1Z8+ethwOAAD2Z4TpZhNtSpR27Nih/Px87dq1S+Xl5WpsbNSYMWN06tQps83MmTP161//Wps2bdKOHTt09OhRff/73zf3+3w+5ebmyuv16q233tLzzz+vdevWqaioyGxz5MgR5ebm6pZbblF1dbVmzJihH/3oR3rttdfMNhs3blRhYaHmzZunvXv3aujQocrJyVFdXV0w5wMAAMDUpsncZWVlAffXrVunXr16qaqqSjfeeKNOnDih5557TuvXr9ett94qSVq7dq0GDRqkXbt2afTo0Xr99dd16NAhvfHGG0pKStKwYcP0yCOP6MEHH9T8+fPlcrlUWlqqtLQ0LV26VJI0aNAgvfnmm1q+fLlycnIkScuWLdPUqVM1efJkSVJpaam2bNmiNWvWaM6cOW06CV6vV16vt02PCYXmMXkbY8IYibXmcUVDjM5YRxgjsdY8LmJsv2iLMRpeM1ERYwS+f0uRE5fDf/YW6j7tIqir3k6cOCFJ6tmzpySpqqpKjY2Nys7ONtsMHDhQ/fr1U2VlpUaPHq3KykoNHjxYSUlJZpucnBxNmzZNBw8e1PDhw1VZWRnwHE1tZsyYIensL19VVZXmzp1r7nc6ncrOzlZlZaVlvA0NDWpoaDDv19fXS5KefPJJud3udp6F0Fj+i/HhDuG8oiHG0bPTwx3CeRFjx4iGGKPhNRMNMTb9UQ1cDO2ezO33+zVjxgxdd911uuaaayRJHo9HLpdL3bt3D2iblJQkj8djtmmeJDXtb9p3rjb19fX68ssv9cknn8jn87Xapuk5WlNcXKyEhATzlpKS0vYDBwAAl4x2V5Ty8/N14MABvfnmmx0Zz0U1d+5cFRYWmvfr6+uVkpKi/Ds3K7FnGAOz4G2MMf+amzlpk1yxvjBH1FLzGHc9fkj+xsibweeMdZjVBWJsP2LsGM1jjIbXdTTEOGvWLLlcrjBH1JLX69XChQvDHUZ4JldH3kuv3dqVKBUUFOjVV1/Vzp071bdvX3N7cnKyvF6vjh8/HlBVqq2tVXJystnmq1enNV0V17zNV6+Uq62tVXx8vDp16qSYmBjFxMS02qbpOVoTFxenuLi4FttdsT65Yi/gwMPobIyR92bVnL/RiMgPpuaIsWMQY8eIhtd1VMTockVkogR7aNPQm2EYKigo0EsvvaRt27YpLS0tYH9GRoZiY2NVUVFhbjt8+LBqamqUlZUlScrKytL+/fsDrk4rLy9XfHy80tPTzTbNn6OpTdNzuFwuZWRkBLTx+/2qqKgw2wAAgP9dmTvUN7toU0UpPz9f69ev18svv6xu3bqZ84ESEhLUqVMnJSQkaMqUKSosLFTPnj0VHx+v6dOnKysrS6NHj5YkjRkzRunp6Zo0aZIWL14sj8ejhx9+WPn5+Wa157777tOqVav0wAMP6J577tG2bdv04osvasuWLWYshYWFysvL08iRI3XttddqxYoVOnXqlHkVHAAAQLDalCitXr1aknTzzTcHbF+7dq1++MMfSpKWL18up9OpcePGqaGhQTk5OXrqqafMtjExMXr11Vc1bdo0ZWVlqUuXLsrLy9OCBQvMNmlpadqyZYtmzpyplStXqm/fvnr22WfNpQEkacKECTp27JiKiork8Xg0bNgwlZWVtZjgDQDAJc0wzt5C3adNtClRMi7gwN1ut0pKSlRSUmLZpn///tq6des5n+fmm2/Wvn37ztmmoKBABQUF540JAACgPfiuNwAAAAtBLTgJAAAiWzgmV9tpMjcVJQAAAAtUlAAAsDMWnAwKFSUAAAALJEoAAAAWGHoDAMDGmMwdHCpKAAAAFqgoAQBgZ6zMHRQqSgAAABaoKAEAYGPMUQoOFSUAAAALJEoAAAAWGHoDAMDOWJk7KFSUAAAALFBRAgDAxpjMHRwqSgAAABZIlAAAACww9AYAgJ35jbO3UPdpE1SUAAAALFBRAgDAzlgeIChUlAAAACyQKAEAAFhg6A0AABtzKAzrKIW2u4uKihIAAIAFKkoAANiZYZy9hbpPm6CiBAAAYIGKEgAANsZ3vQWHihIAAIAFEiUAAAALJEoAANiZEaZbO5SUlCg1NVVut1uZmZnas2ePZduDBw9q3LhxSk1NlcPh0IoVK1q0KS4u1qhRo9StWzf16tVLY8eO1eHDh9sUE4kSAAAIu40bN6qwsFDz5s3T3r17NXToUOXk5Kiurq7V9l988YWuvPJKLVq0SMnJya222bFjh/Lz87Vr1y6Vl5ersbFRY8aM0alTpy44LiZzS/I2xsjbGO4oWvI2xrT6cyRpHpczNjKXGGseFzG2HzF2jOZxRcPrOipi9HrDGIm1SInLYRhyhPhy/fb0t2zZMk2dOlWTJ0+WJJWWlmrLli1as2aN5syZ06L9qFGjNGrUKElqdb8klZWVBdxft26devXqpaqqKt14440XFBeJkqSSDWPldrvDHcY5Lf/F+HCHcF6jZ6eHO4TzIsaOQYwdIxpe19EQ49KlS8MdAizU19cH3I+Li1NcXFyLdl6vV1VVVZo7d665zel0Kjs7W5WVlR0Wz4kTJyRJPXv2vODHMPQGAAAuipSUFCUkJJi34uLiVtt98skn8vl8SkpKCtielJQkj8fTIbH4/X7NmDFD1113na655poLfhwVJUnvPHFYzjORdyqcsQ7zr+Jdjx+SvzHyFqYgxo5BjB2DGDtGtMU4a9YsuVyuMEfUktfr1cKFC8MdhuT/+y3UfUr68MMPFR8fb25urZoUKvn5+Tpw4IDefPPNNj0u8rKDMPA3GtKZyHsjaM7faETkm1VzxNgxiLFjEGPHiIYYXS5XRCZKkOLj4wMSJSuJiYmKiYlRbW1twPba2lrLidptUVBQoFdffVU7d+5U37592/RYht4AALCxpsncob61hcvlUkZGhioqKsxtfr9fFRUVysrKavexG4ahgoICvfTSS9q2bZvS0tLa/BxUlAAAQNgVFhYqLy9PI0eO1LXXXqsVK1bo1KlT5lVwd999t6644gpznpPX69WhQ4fMnz/66CNVV1era9euGjBggKSzw23r16/Xyy+/rG7dupnznRISEtSpU6cLiotECQAAOwtiAcig+myjCRMm6NixYyoqKpLH49GwYcNUVlZmTvCuqamR0/m/A2FHjx7V8OHDzftLlizRkiVLdNNNN2n79u2SpNWrV0uSbr755oC+1q5dqx/+8IcXFBeJEgAAiAgFBQUqKChodV9T8tMkNTVVxnmG+M63/0IwRwkAAMACFSUAAOzMMM7eQt2nTVBRAgAAsEBFCQAAG3MYZ2+h7tMuqCgBAABYIFECAACwwNAbAAB2xmTuoFBRAgAAsEBFCQAAG3P4z95C3addUFECAACwQEUJAAA7Y45SUKgoAQAAWCBRAgAAsMDQGwAAdmb8/RbqPm2CihIAAIAFKkoAANiYwzDkCPHk6lD3dzFRUQIAALBAogQAAGCBoTcAAOyMdZSCQkUJAADAAhUlAADszJAU6u9es09BiYoSAACAFSpKAADYGMsDBIeKEgAAgAUSJQAAAAsMvQEAYGeGwrA8QGi7u5ioKAEAAFigogQAgJ2x4GRQqCgBAABYIFECAACw0OZEaefOnfrud7+rPn36yOFwaPPmzQH7DcNQUVGRevfurU6dOik7O1sffPBBQJtPP/1UEydOVHx8vLp3764pU6bo5MmTAW3effdd3XDDDXK73UpJSdHixYtbxLJp0yYNHDhQbrdbgwcP1tatW9t6OAAA2Js/TDebaHOidOrUKQ0dOlQlJSWt7l+8eLGeeOIJlZaWavfu3erSpYtycnJ0+vRps83EiRN18OBBlZeX69VXX9XOnTt17733mvvr6+s1ZswY9e/fX1VVVXr88cc1f/58Pf3002abt956S3fddZemTJmiffv2aezYsRo7dqwOHDjQ1kMCAABoVZsnc99+++26/fbbW91nGIZWrFihhx9+WHfccYck6T/+4z+UlJSkzZs3684779R7772nsrIyvf322xo5cqQk6cknn9S3v/1tLVmyRH369NELL7wgr9erNWvWyOVy6eqrr1Z1dbWWLVtmJlQrV67Ut771Lc2ePVuS9Mgjj6i8vFyrVq1SaWlpm47JGeuQ0+Fo66m46JyxjlZ/jiTE2DGIsWMQY8eIthi9Xm8YI7EWKXGxMndwOvSqtyNHjsjj8Sg7O9vclpCQoMzMTFVWVurOO+9UZWWlunfvbiZJkpSdnS2n06ndu3fre9/7niorK3XjjTfK5XKZbXJycvTYY4/ps88+U48ePVRZWanCwsKA/nNycloMBTbX0NCghoYG8359fb0kaeS/XSW32x3s4V9Uo2enhzuE8yLGjkGMHYMYO0Y0xLh06dJwhwAb69DJ3B6PR5KUlJQUsD0pKcnc5/F41KtXr4D9l112mXr27BnQprXnaN6HVZum/a0pLi5WQkKCeUtJSWnrIQIAEF2algcI9c0mLql1lObOnRtQhaqvr1dKSoqmT5+uxMTEMEbWOq/Xa/6lNHPSJrlifWGOqCVvY4yW/2K8JGIMBjF2DGLsGM1j3PX4IfkbI+9DzxnrMKtds2bNChiBiBRer1cLFy4MdxgIUocmSsnJyZKk2tpa9e7d29xeW1urYcOGmW3q6uoCHnfmzBl9+umn5uOTk5NVW1sb0Kbp/vnaNO1vTVxcnOLi4lpsd7lcEfkia84V64vIN9TmiLFjEGPHIMaO4W80IjJRai4a3sMRvTp06C0tLU3JycmqqKgwt9XX12v37t3KysqSJGVlZen48eOqqqoy22zbtk1+v1+ZmZlmm507d6qxsdFsU15erquuuko9evQw2zTvp6lNUz8AAEAMvQWpzYnSyZMnVV1drerqaklnJ3BXV1erpqZGDodDM2bM0KOPPqpXXnlF+/fv1913360+ffpo7NixkqRBgwbpW9/6lqZOnao9e/bo97//vQoKCnTnnXeqT58+kqR//ud/lsvl0pQpU3Tw4EFt3LhRK1euDBg2u//++1VWVqalS5fq/fff1/z58/XOO++ooKAg+LMCAACgdgy9vfPOO7rlllvM+03JS15entatW6cHHnhAp06d0r333qvjx4/r+uuvV1lZWcBVZS+88IIKCgp02223yel0aty4cXriiSfM/QkJCXr99deVn5+vjIwMJSYmqqioKGCtpW9+85tav369Hn74YT300EP6+te/rs2bN+uaa65p14kAAMCW+K63oLQ5Ubr55ptlnOMEOBwOLViwQAsWLLBs07NnT61fv/6c/QwZMkS/+93vztlm/PjxGj9+/LkDBgAAaCe+6w0AAMDCJbU8AAAAlxy/pFAvsH4pf9cbAADApYKKEgAANsZ3vQWHihIAAIAFKkoAANgZywMEhYoSAACABRIlAAAACwy9AQBgZ35DcoR4KMzP0BsAAIDtUVECAMDOmMwdFCpKAAAAFkiUAAAALDD0BgCArYVh6E0MvQEAANgeFSUAAOyMydxBoaIEAABggUQJAADAAkNvAADYmd9QyCdXszI3AACA/VFRAgDAzgz/2Vuo+7QJKkoAAAAWqCgBAGBnLA8QFCpKAAAAFkiUAAAALDD0BgCAnbE8QFCoKAEAAFigogQAgJ0xmTsoVJQAAAAskCgBAABYYOgNAAA7MxSGobfQdncxUVECAACwQEVJktfrldfrDXcYLTSPydsYE8ZIrDWPixjbjxg7BjF2jOZxOWMdYYzEWvO4IvH9W4qguJjMHRSHYdjoaNqovr5eCQkJmjNnjtxud7jDAQDYzOnTp7Vo0SKdOHFC8fHxIe276TMuO/leXeZ0hbTvM36v3vA8HZbj7mhUlAAAsDO/X5I/DH3aA4mSpOnTpysxMTHcYbTg9Xq1dOlSSdKsWbPkcoX2L4IL0TzGmZM2yRXrC3NELXkbY7T8F+MlEWMwoi3GaHjNEGP7RUuMCxcuDHcYCBKJkiSXyxWRL7LmoiLGWF9Efng2R4wdIypijIbXDDF2iGiIEdGLRAkAADtjMndQWB4AAADAAhUlAADsjIpSUKgoAQAAWCBRAgAAsMDQGwAAduY3FPIvX/Mz9AYAAGB7VJQAALAxw/DLMEK7Unao+7uYqCgBAABYoKIEAICdGUbo5wyxPAAAAID9kSgBAABYYOgNAAA7M8KwPABDbwAAAPZHRQkAADvz+yVHiC/XZ3kAAAAA+yNRAgAAsMDQGwAAdsZk7qBQUQIAALBARQkAABsz/H4ZIZ7MzXe9AQAAXAKoKAEAYGfMUQoKFSUAAAALJEoAAAAWGHoDAMDO/IbkYOitvagoAQAAWKCiBACAnRmGpFB/1xsVJQAAANsjUQIAALDA0BsAADZm+A0ZIZ7MbTD0BgAAYH9UlAAAsDPDr9BP5ua73gAAAGyPihIAADbGHKXgRH1FqaSkRKmpqXK73crMzNSePXvCHRIAALCJqE6UNm7cqMLCQs2bN0979+7V0KFDlZOTo7q6unCHBgAAbCCqh96WLVumqVOnavLkyZKk0tJSbdmyRWvWrNGcOXMu+Hm8Xq+8Xu/FCrPdmscUifFJX4mxMSaMkVhrHhcxtl/UxRgNrxlibLdoizGsmMwdFIcRpQOJXq9XnTt31q9+9SuNHTvW3J6Xl6fjx4/r5ZdfbvGYhoYGNTQ0mPdPnDihfv36aebMmYqLiwtF2ACAS0hDQ4OWL1+u48ePKyEhIaR919fXKyEhQdfr27pMsSHt+4wa9aa26sSJE4qPjw9p3x0taitKn3zyiXw+n5KSkgK2JyUl6f3332/1McXFxfrpT3/aYvvy5csvSowAAEjS3/72t5AnSi6XS8nJyXrTszWk/TZJTk6Wy+UKS98dKWoTpfaYO3euCgsLzfvHjx9X//79VVNTE/JfYDupr69XSkqKPvzww6j/yyGcOI8dg/PYMTiPHaNp5KJnz54h79vtduvIkSNhGwJ0uVxyu91h6bsjRW2ilJiYqJiYGNXW1gZsr62tVXJycquPiYuLa3WILSEhgTeCDhAfH8957ACcx47BeewYnMeO4XSG59opt9tti2QlnKL2qjeXy6WMjAxVVFSY2/x+vyoqKpSVlRXGyAAAgF1EbUVJkgoLC5WXl6eRI0fq2muv1YoVK3Tq1CnzKjgAAIBgRHWiNGHCBB07dkxFRUXyeDwaNmyYysrKWkzwthIXF6d58+ZxxVuQOI8dg/PYMTiPHYPz2DE4j9EvapcHAAAAuNiido4SAADAxUaiBAAAYIFECQAAwAKJEgAAgIVLNlEqKSlRamqq3G63MjMztWfPnnCHFDI7d+7Ud7/7XfXp00cOh0ObN28O2G8YhoqKitS7d2916tRJ2dnZ+uCDDwLafPrpp5o4caLi4+PVvXt3TZkyRSdPngxo8+677+qGG26Q2+1WSkqKFi9e3CKWTZs2aeDAgXK73Ro8eLC2bg3PUvvtUVxcrFGjRqlbt27q1auXxo4dq8OHDwe0OX36tPLz83X55Zera9euGjduXItFUmtqapSbm6vOnTurV69emj17ts6cORPQZvv27RoxYoTi4uI0YMAArVu3rkU80fo7vXr1ag0ZMsRc2DArK0u/+c1vzP2cw/ZZtGiRHA6HZsyYYW7jXJ7f/Pnz5XA4Am4DBw4093MOL0HGJWjDhg2Gy+Uy1qxZYxw8eNCYOnWq0b17d6O2tjbcoYXE1q1bjf/7f/+v8d///d+GJOOll14K2L9o0SIjISHB2Lx5s/GHP/zB+D//5/8YaWlpxpdffmm2+da3vmUMHTrU2LVrl/G73/3OGDBggHHXXXeZ+0+cOGEkJSUZEydONA4cOGD88pe/NDp16mT8/Oc/N9v8/ve/N2JiYozFixcbhw4dMh5++GEjNjbW2L9//0U/Bx0hJyfHWLt2rXHgwAGjurra+Pa3v23069fPOHnypNnmvvvuM1JSUoyKigrjnXfeMUaPHm1885vfNPefOXPGuOaaa4zs7Gxj3759xtatW43ExERj7ty5Zps///nPRufOnY3CwkLj0KFDxpNPPmnExMQYZWVlZpto/p1+5ZVXjC1bthh//OMfjcOHDxsPPfSQERsbaxw4cMAwDM5he+zZs8dITU01hgwZYtx///3mds7l+c2bN8+4+uqrjY8//ti8HTt2zNzPObz0XJKJ0rXXXmvk5+eb930+n9GnTx+juLg4jFGFx1cTJb/fbyQnJxuPP/64ue348eNGXFyc8ctf/tIwDMM4dOiQIcl4++23zTa/+c1vDIfDYXz00UeGYRjGU089ZfTo0cNoaGgw2zz44IPGVVddZd7/p3/6JyM3NzcgnszMTONf//VfO/QYQ6Wurs6QZOzYscMwjLPnLTY21ti0aZPZ5r333jMkGZWVlYZhnE1anU6n4fF4zDarV6824uPjzXP3wAMPGFdffXVAXxMmTDBycnLM+3b7ne7Ro4fx7LPPcg7b4fPPPze+/vWvG+Xl5cZNN91kJkqcywszb948Y+jQoa3u4xxemi65oTev16uqqiplZ2eb25xOp7Kzs1VZWRnGyCLDkSNH5PF4As5PQkKCMjMzzfNTWVmp7t27a+TIkWab7OxsOZ1O7d6922xz4403BnxzdE5Ojg4fPqzPPvvMbNO8n6Y20fr/cOLECUkyv/yyqqpKjY2NAcc4cOBA9evXL+BcDh48OGCR1JycHNXX1+vgwYNmm3OdJzv9Tvt8Pm3YsEGnTp1SVlYW57Ad8vPzlZub2+J4OZcX7oMPPlCfPn105ZVXauLEiaqpqZHEObxUXXKJ0ieffCKfz9di9e6kpCR5PJ4wRRU5ms7Buc6Px+NRr169AvZfdtll6tmzZ0Cb1p6jeR9WbaLx/8Hv92vGjBm67rrrdM0110g6e3wul0vdu3cPaPvVc9ne81RfX68vv/zSFr/T+/fvV9euXRUXF6f77rtPL730ktLT0zmHbbRhwwbt3btXxcXFLfZxLi9MZmam1q1bp7KyMq1evVpHjhzRDTfcoM8//5xzeImK6q8wASJFfn6+Dhw4oDfffDPcoUSlq666StXV1Tpx4oR+9atfKS8vTzt27Ah3WFHlww8/1P3336/y8nK+LT4It99+u/nzkCFDlJmZqf79++vFF19Up06dwhgZwuWSqyglJiYqJiamxVUKtbW1Sk5ODlNUkaPpHJzr/CQnJ6uuri5g/5kzZ/Tpp58GtGntOZr3YdUm2v4fCgoK9Oqrr+q3v/2t+vbta25PTk6W1+vV8ePHA9p/9Vy29zzFx8erU6dOtviddrlcGjBggDIyMlRcXKyhQ4dq5cqVnMM2qKqqUl1dnUaMGKHLLrtMl112mXbs2KEnnnhCl112mZKSkjiX7dC9e3d94xvf0J/+9Cd+Hy9Rl1yi5HK5lJGRoYqKCnOb3+9XRUWFsrKywhhZZEhLS1NycnLA+amvr9fu3bvN85OVlaXjx4+rqqrKbLNt2zb5/X5lZmaabXbu3KnGxkazTXl5ua666ir16NHDbNO8n6Y20fL/YBiGCgoK9NJLL2nbtm1KS0sL2J+RkaHY2NiAYzx8+LBqamoCzuX+/fsDEs/y8nLFx8crPT3dbHOu82TH32m/36+GhgbOYRvcdttt2r9/v6qrq83byJEjNXHiRPNnzmXbnTx5Uv/zP/+j3r178/t4qQr3bPJw2LBhgxEXF2esW7fOOHTokHHvvfca3bt3D7hKwc4+//xzY9++fca+ffsMScayZcuMffv2GX/9618Nwzi7PED37t2Nl19+2Xj33XeNO+64o9XlAYYPH27s3r3bePPNN42vf/3rAcsDHD9+3EhKSjImTZpkHDhwwNiwYYPRuXPnFssDXHbZZcaSJUuM9957z5g3b15ULQ8wbdo0IyEhwdi+fXvApcRffPGF2ea+++4z+vXrZ2zbts145513jKysLCMrK8vc33Qp8ZgxY4zq6mqjrKzM+NrXvtbqpcSzZ8823nvvPaOkpKTVS4mj9Xd6zpw5xo4dO4wjR44Y7777rjFnzhzD4XAYr7/+umEYnMNgNL/qzTA4lxdi1qxZxvbt240jR44Yv//9743s7GwjMTHRqKurMwyDc3gpuiQTJcMwjCeffNLo16+f4XK5jGuvvdbYtWtXuEMKmd/+9reGpBa3vLw8wzDOLhHwk5/8xEhKSjLi4uKM2267zTh8+HDAc/ztb38z7rrrLqNr165GfHy8MXnyZOPzzz8PaPOHP/zBuP766424uDjjiiuuMBYtWtQilhdffNH4xje+YbhcLuPqq682tmzZctGOu6O1dg4lGWvXrjXbfPnll8aPf/xjo0ePHkbnzp2N733ve8bHH38c8Dx/+ctfjNtvv93o1KmTkZiYaMyaNctobGwMaPPb3/7WGDZsmOFyuYwrr7wyoI8m0fo7fc899xj9+/c3XC6X8bWvfc247bbbzCTJMDiHwfhqosS5PL8JEyYYvXv3Nlwul3HFFVcYEyZMMP70pz+Z+zmHlx6HYRhGeGpZAAAAke2Sm6MEAABwoUiUAAAALJAoAQAAWCBRAgAAsECiBAAAYIFECQAAwAKJEgAAgAUSJQAAAAskSgAAABZIlAAAACyQKAEAAFggUQIAALDw/wGDDeLrrbFwewAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "extwc = np.loadtxt(os.path.join(\"..\", \"data\", \"uzf_examples\", \"extwc.dat\"))\n",
    "\n",
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.add_subplot(1, 1, 1, aspect=\"equal\")\n",
    "mapview = flopy.plot.PlotMapView(model=m)\n",
    "quadmesh = mapview.plot_array(extwc)\n",
    "plt.colorbar(quadmesh)\n",
    "linecollection = mapview.plot_grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up the gages (observation points)\n",
    "* supplied as a dictionary keyed by `IFTUNIT`\n",
    "* A positive value [of `IFTUNIT`] is for output of individual cells whereas a negative value is for output that is summed over all model cells. \n",
    "* values are a list of `[IUZROW, IUZCOL, IFTUNIT, IUZOPT]`\n",
    "* `IUZROW` and `IUZCOL` are zero based"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:06.688369Z",
     "iopub.status.busy": "2022-12-15T13:22:06.687648Z",
     "iopub.status.idle": "2022-12-15T13:22:06.696315Z",
     "shell.execute_reply": "2022-12-15T13:22:06.695061Z"
    }
   },
   "outputs": [],
   "source": [
    "uzgag = {\n",
    "    -68: [-68],\n",
    "    65: [\n",
    "        2,\n",
    "        5,\n",
    "        65,\n",
    "        1,\n",
    "    ],  # Print time, head, uz thickness and cum. vols of infiltration, recharge, storage, change in storage and ground-water discharge to land surface.\n",
    "    66: [\n",
    "        5,\n",
    "        2,\n",
    "        66,\n",
    "        2,\n",
    "    ],  # Same as option 1 except rates of infiltration, recharge, change in storage, and ground-water discharge also are printed.\n",
    "    67: [9, 4, 67, 3],\n",
    "}  # Prints time, ground-water head, thickness of unsaturated zone, followed by a series of depths and water contents in the unsaturated zone."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make the UZF package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:06.701274Z",
     "iopub.status.busy": "2022-12-15T13:22:06.700952Z",
     "iopub.status.idle": "2022-12-15T13:22:06.712014Z",
     "shell.execute_reply": "2022-12-15T13:22:06.710947Z"
    }
   },
   "outputs": [],
   "source": [
    "uzf = flopy.modflow.ModflowUzf1(\n",
    "    m,\n",
    "    nuztop=1,\n",
    "    iuzfopt=1,\n",
    "    irunflg=1,\n",
    "    ietflg=1,\n",
    "    ipakcb=0,\n",
    "    iuzfcb2=61,  # binary output of recharge and groundwater discharge\n",
    "    ntrail2=25,\n",
    "    nsets=20,\n",
    "    surfdep=1.0,\n",
    "    uzgag=uzgag,\n",
    "    iuzfbnd=m.bas6.ibound.array,\n",
    "    irunbnd=irunbnd,\n",
    "    vks=vks,  # saturated vertical hydraulic conductivity of the uz\n",
    "    finf=finf,  # infiltration rates\n",
    "    eps=3.5,  # Brooks-Corey relation of water content to hydraulic conductivity (epsilon)\n",
    "    thts=0.35,  # saturated water content of the uz in units of volume of water to total volume\n",
    "    pet=5.000000e-08,  # potential ET\n",
    "    extdp=15.0,  # ET extinction depth(s)\n",
    "    extwc=extwc,  # extinction water content below which ET cannot be removed from the unsaturated zone\n",
    "    unitnumber=19,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:06.717609Z",
     "iopub.status.busy": "2022-12-15T13:22:06.716964Z",
     "iopub.status.idle": "2022-12-15T13:22:06.739590Z",
     "shell.execute_reply": "2022-12-15T13:22:06.738443Z"
    }
   },
   "outputs": [],
   "source": [
    "m.write_input()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### run the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:06.744466Z",
     "iopub.status.busy": "2022-12-15T13:22:06.744115Z",
     "iopub.status.idle": "2022-12-15T13:22:09.553093Z",
     "shell.execute_reply": "2022-12-15T13:22:09.551742Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FloPy is using the following executable to run the model: /home/runner/.local/bin/mf2005\n",
      "\n",
      "                                  MODFLOW-2005     \n",
      "    U.S. GEOLOGICAL SURVEY MODULAR FINITE-DIFFERENCE GROUND-WATER FLOW MODEL\n",
      "                             Version 1.12.00 2/3/2017                        \n",
      "\n",
      " Using NAME file: UZFtest2.nam \n",
      " Run start date and time (yyyy/mm/dd hh:mm:ss): 2022/12/15 13:22:06\n",
      "\n",
      " Solving:  Stress period:     1    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     2    Time step:    15    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     3    Time step:    15    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:     4    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     4    Time step:    15    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:     3    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:     5    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     5    Time step:    15    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:     6    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:     6    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     6    Time step:    15    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:     4    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:     7    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     7    Time step:    15    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:     8    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:    13    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:     8    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     8    Time step:    15    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:     9    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:     9    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:     9    Time step:    15    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:     2    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:    10    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:    12    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:    10    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    10    Time step:    15    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:     6    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:    11    Time step:     7    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:    13    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:    11    Time step:    14    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    11    Time step:    15    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:     1    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:     2    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:     3    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:     4    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:     5    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:     6    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:     7    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:    12    Time step:     8    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:     9    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:    10    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:    11    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:    12    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:    13    Ground-Water Flow Eqn.\n",
      " Solving:  Stress period:    12    Time step:    14    Ground-Water Flow Eqn.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Solving:  Stress period:    12    Time step:    15    Ground-Water Flow Eqn.\n",
      " Run end date and time (yyyy/mm/dd hh:mm:ss): 2022/12/15 13:22:09\n",
      " Elapsed run time:  2.791 Seconds\n",
      "\n",
      "  Normal termination of simulation\n"
     ]
    }
   ],
   "source": [
    "success, buff = m.run_model()\n",
    "if not success:\n",
    "    print('\"{}...did not run\"'.format(m.name))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results\n",
    "\n",
    "### Look at the budget output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:09.558710Z",
     "iopub.status.busy": "2022-12-15T13:22:09.558002Z",
     "iopub.status.idle": "2022-12-15T13:22:09.697165Z",
     "shell.execute_reply": "2022-12-15T13:22:09.696202Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 1, b'           GW ET', 10, 15, -1, 4, 2628000., 2628000., 2628000., b'', b'', b'', b'')\n",
      "(1, 1, b'    UZF RECHARGE', 10, 15, -1, 4, 2628000., 2628000., 2628000., b'', b'', b'', b'')\n",
      "(1, 1, b' SURFACE LEAKAGE', 10, 15, -1, 4, 2628000., 2628000., 2628000., b'', b'', b'', b'')\n",
      "(1, 1, b'       HORT+DUNN', 10, 15, -1, 4, 2628000., 2628000., 2628000., b'', b'', b'', b'')\n",
      "(1, 1, b'  STORAGE CHANGE', 10, 15, -1, 4, 2628000., 2628000., 2628000., b'', b'', b'', b'')\n",
      "(1, 2, b'           GW ET', 10, 15, -1, 4, 82713.07, 82713.07, 2710713., b'', b'', b'', b'')\n",
      "(1, 2, b'    UZF RECHARGE', 10, 15, -1, 4, 82713.07, 82713.07, 2710713., b'', b'', b'', b'')\n",
      "(1, 2, b' SURFACE LEAKAGE', 10, 15, -1, 4, 82713.07, 82713.07, 2710713., b'', b'', b'', b'')\n",
      "(1, 2, b'       HORT+DUNN', 10, 15, -1, 4, 82713.07, 82713.07, 2710713., b'', b'', b'', b'')\n",
      "(1, 2, b'  STORAGE CHANGE', 10, 15, -1, 4, 82713.07, 82713.07, 2710713., b'', b'', b'', b'')\n",
      "(5, 2, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 3132971.5, b'', b'', b'', b'')\n",
      "(5, 2, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 3132971.5, b'', b'', b'', b'')\n",
      "(5, 2, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 3132971.5, b'', b'', b'', b'')\n",
      "(5, 2, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 3132971.5, b'', b'', b'', b'')\n",
      "(5, 2, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 3132971.5, b'', b'', b'', b'')\n",
      "(10, 2, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 3946233.2, b'', b'', b'', b'')\n",
      "(10, 2, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 3946233.2, b'', b'', b'', b'')\n",
      "(10, 2, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 3946233.2, b'', b'', b'', b'')\n",
      "(10, 2, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 3946233.2, b'', b'', b'', b'')\n",
      "(10, 2, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 3946233.2, b'', b'', b'', b'')\n",
      "(15, 2, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 5256000., b'', b'', b'', b'')\n",
      "(15, 2, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 5256000., b'', b'', b'', b'')\n",
      "(15, 2, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 5256000., b'', b'', b'', b'')\n",
      "(15, 2, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 5256000., b'', b'', b'', b'')\n",
      "(15, 2, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 5256000., b'', b'', b'', b'')\n",
      "(1, 3, b'           GW ET', 10, 15, -1, 4, 82713.07, 82713.07, 5338713., b'', b'', b'', b'')\n",
      "(1, 3, b'    UZF RECHARGE', 10, 15, -1, 4, 82713.07, 82713.07, 5338713., b'', b'', b'', b'')\n",
      "(1, 3, b' SURFACE LEAKAGE', 10, 15, -1, 4, 82713.07, 82713.07, 5338713., b'', b'', b'', b'')\n",
      "(1, 3, b'       HORT+DUNN', 10, 15, -1, 4, 82713.07, 82713.07, 5338713., b'', b'', b'', b'')\n",
      "(1, 3, b'  STORAGE CHANGE', 10, 15, -1, 4, 82713.07, 82713.07, 5338713., b'', b'', b'', b'')\n",
      "(5, 3, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 5760971.5, b'', b'', b'', b'')\n",
      "(5, 3, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 5760971.5, b'', b'', b'', b'')\n",
      "(5, 3, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 5760971.5, b'', b'', b'', b'')\n",
      "(5, 3, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 5760971.5, b'', b'', b'', b'')\n",
      "(5, 3, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 5760971.5, b'', b'', b'', b'')\n",
      "(10, 3, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 6574233.5, b'', b'', b'', b'')\n",
      "(10, 3, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 6574233.5, b'', b'', b'', b'')\n",
      "(10, 3, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 6574233.5, b'', b'', b'', b'')\n",
      "(10, 3, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 6574233.5, b'', b'', b'', b'')\n",
      "(10, 3, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 6574233.5, b'', b'', b'', b'')\n",
      "(15, 3, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 7884000., b'', b'', b'', b'')\n",
      "(15, 3, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 7884000., b'', b'', b'', b'')\n",
      "(15, 3, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 7884000., b'', b'', b'', b'')\n",
      "(15, 3, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 7884000., b'', b'', b'', b'')\n",
      "(15, 3, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 7884000., b'', b'', b'', b'')\n",
      "(5, 4, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 8388972., b'', b'', b'', b'')\n",
      "(5, 4, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 8388972., b'', b'', b'', b'')\n",
      "(5, 4, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 8388972., b'', b'', b'', b'')\n",
      "(5, 4, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 8388972., b'', b'', b'', b'')\n",
      "(5, 4, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 8388972., b'', b'', b'', b'')\n",
      "(10, 4, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 9202233., b'', b'', b'', b'')\n",
      "(10, 4, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 9202233., b'', b'', b'', b'')\n",
      "(10, 4, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 9202233., b'', b'', b'', b'')\n",
      "(10, 4, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 9202233., b'', b'', b'', b'')\n",
      "(10, 4, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 9202233., b'', b'', b'', b'')\n",
      "(15, 4, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 10511999., b'', b'', b'', b'')\n",
      "(15, 4, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 10511999., b'', b'', b'', b'')\n",
      "(15, 4, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 10511999., b'', b'', b'', b'')\n",
      "(15, 4, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 10511999., b'', b'', b'', b'')\n",
      "(15, 4, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 10511999., b'', b'', b'', b'')\n",
      "(5, 5, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 11016970., b'', b'', b'', b'')\n",
      "(5, 5, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 11016970., b'', b'', b'', b'')\n",
      "(5, 5, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 11016970., b'', b'', b'', b'')\n",
      "(5, 5, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 11016970., b'', b'', b'', b'')\n",
      "(5, 5, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 11016970., b'', b'', b'', b'')\n",
      "(10, 5, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 11830231., b'', b'', b'', b'')\n",
      "(10, 5, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 11830231., b'', b'', b'', b'')\n",
      "(10, 5, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 11830231., b'', b'', b'', b'')\n",
      "(10, 5, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 11830231., b'', b'', b'', b'')\n",
      "(10, 5, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 11830231., b'', b'', b'', b'')\n",
      "(15, 5, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 13139997., b'', b'', b'', b'')\n",
      "(15, 5, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 13139997., b'', b'', b'', b'')\n",
      "(15, 5, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 13139997., b'', b'', b'', b'')\n",
      "(15, 5, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 13139997., b'', b'', b'', b'')\n",
      "(15, 5, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 13139997., b'', b'', b'', b'')\n",
      "(5, 6, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 13644968., b'', b'', b'', b'')\n",
      "(5, 6, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 13644968., b'', b'', b'', b'')\n",
      "(5, 6, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 13644968., b'', b'', b'', b'')\n",
      "(5, 6, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 13644968., b'', b'', b'', b'')\n",
      "(5, 6, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 13644968., b'', b'', b'', b'')\n",
      "(10, 6, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 14458229., b'', b'', b'', b'')\n",
      "(10, 6, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 14458229., b'', b'', b'', b'')\n",
      "(10, 6, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 14458229., b'', b'', b'', b'')\n",
      "(10, 6, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 14458229., b'', b'', b'', b'')\n",
      "(10, 6, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 14458229., b'', b'', b'', b'')\n",
      "(15, 6, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 15767995., b'', b'', b'', b'')\n",
      "(15, 6, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 15767995., b'', b'', b'', b'')\n",
      "(15, 6, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 15767995., b'', b'', b'', b'')\n",
      "(15, 6, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 15767995., b'', b'', b'', b'')\n",
      "(15, 6, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 15767995., b'', b'', b'', b'')\n",
      "(5, 7, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 16272966., b'', b'', b'', b'')\n",
      "(5, 7, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 16272966., b'', b'', b'', b'')\n",
      "(5, 7, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 16272966., b'', b'', b'', b'')\n",
      "(5, 7, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 16272966., b'', b'', b'', b'')\n",
      "(5, 7, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 16272966., b'', b'', b'', b'')\n",
      "(10, 7, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 17086228., b'', b'', b'', b'')\n",
      "(10, 7, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 17086228., b'', b'', b'', b'')\n",
      "(10, 7, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 17086228., b'', b'', b'', b'')\n",
      "(10, 7, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 17086228., b'', b'', b'', b'')\n",
      "(10, 7, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 17086228., b'', b'', b'', b'')\n",
      "(15, 7, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 18395994., b'', b'', b'', b'')\n",
      "(15, 7, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 18395994., b'', b'', b'', b'')\n",
      "(15, 7, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 18395994., b'', b'', b'', b'')\n",
      "(15, 7, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 18395994., b'', b'', b'', b'')\n",
      "(15, 7, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 18395994., b'', b'', b'', b'')\n",
      "(5, 8, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 18900966., b'', b'', b'', b'')\n",
      "(5, 8, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 18900966., b'', b'', b'', b'')\n",
      "(5, 8, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 18900966., b'', b'', b'', b'')\n",
      "(5, 8, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 18900966., b'', b'', b'', b'')\n",
      "(5, 8, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 18900966., b'', b'', b'', b'')\n",
      "(10, 8, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 19714228., b'', b'', b'', b'')\n",
      "(10, 8, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 19714228., b'', b'', b'', b'')\n",
      "(10, 8, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 19714228., b'', b'', b'', b'')\n",
      "(10, 8, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 19714228., b'', b'', b'', b'')\n",
      "(10, 8, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 19714228., b'', b'', b'', b'')\n",
      "(15, 8, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 21023994., b'', b'', b'', b'')\n",
      "(15, 8, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 21023994., b'', b'', b'', b'')\n",
      "(15, 8, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 21023994., b'', b'', b'', b'')\n",
      "(15, 8, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 21023994., b'', b'', b'', b'')\n",
      "(15, 8, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 21023994., b'', b'', b'', b'')\n",
      "(5, 9, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 21528966., b'', b'', b'', b'')\n",
      "(5, 9, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 21528966., b'', b'', b'', b'')\n",
      "(5, 9, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 21528966., b'', b'', b'', b'')\n",
      "(5, 9, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 21528966., b'', b'', b'', b'')\n",
      "(5, 9, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 21528966., b'', b'', b'', b'')\n",
      "(10, 9, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 22342228., b'', b'', b'', b'')\n",
      "(10, 9, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 22342228., b'', b'', b'', b'')\n",
      "(10, 9, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 22342228., b'', b'', b'', b'')\n",
      "(10, 9, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 22342228., b'', b'', b'', b'')\n",
      "(10, 9, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 22342228., b'', b'', b'', b'')\n",
      "(15, 9, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 23651994., b'', b'', b'', b'')\n",
      "(15, 9, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 23651994., b'', b'', b'', b'')\n",
      "(15, 9, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 23651994., b'', b'', b'', b'')\n",
      "(15, 9, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 23651994., b'', b'', b'', b'')\n",
      "(15, 9, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 23651994., b'', b'', b'', b'')\n",
      "(5, 10, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 24156966., b'', b'', b'', b'')\n",
      "(5, 10, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 24156966., b'', b'', b'', b'')\n",
      "(5, 10, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 24156966., b'', b'', b'', b'')\n",
      "(5, 10, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 24156966., b'', b'', b'', b'')\n",
      "(5, 10, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 24156966., b'', b'', b'', b'')\n",
      "(10, 10, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 24970228., b'', b'', b'', b'')\n",
      "(10, 10, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 24970228., b'', b'', b'', b'')\n",
      "(10, 10, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 24970228., b'', b'', b'', b'')\n",
      "(10, 10, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 24970228., b'', b'', b'', b'')\n",
      "(10, 10, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 24970228., b'', b'', b'', b'')\n",
      "(15, 10, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 26279994., b'', b'', b'', b'')\n",
      "(15, 10, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 26279994., b'', b'', b'', b'')\n",
      "(15, 10, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 26279994., b'', b'', b'', b'')\n",
      "(15, 10, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 26279994., b'', b'', b'', b'')\n",
      "(15, 10, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 26279994., b'', b'', b'', b'')\n",
      "(5, 11, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 26784966., b'', b'', b'', b'')\n",
      "(5, 11, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 26784966., b'', b'', b'', b'')\n",
      "(5, 11, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 26784966., b'', b'', b'', b'')\n",
      "(5, 11, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 26784966., b'', b'', b'', b'')\n",
      "(5, 11, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 26784966., b'', b'', b'', b'')\n",
      "(10, 11, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 27598228., b'', b'', b'', b'')\n",
      "(10, 11, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 27598228., b'', b'', b'', b'')\n",
      "(10, 11, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 27598228., b'', b'', b'', b'')\n",
      "(10, 11, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 27598228., b'', b'', b'', b'')\n",
      "(10, 11, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 27598228., b'', b'', b'', b'')\n",
      "(15, 11, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 28907994., b'', b'', b'', b'')\n",
      "(15, 11, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 28907994., b'', b'', b'', b'')\n",
      "(15, 11, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 28907994., b'', b'', b'', b'')\n",
      "(15, 11, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 28907994., b'', b'', b'', b'')\n",
      "(15, 11, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 28907994., b'', b'', b'', b'')\n",
      "(5, 12, b'           GW ET', 10, 15, -1, 4, 121100.21, 504971.6, 29412966., b'', b'', b'', b'')\n",
      "(5, 12, b'    UZF RECHARGE', 10, 15, -1, 4, 121100.21, 504971.6, 29412966., b'', b'', b'', b'')\n",
      "(5, 12, b' SURFACE LEAKAGE', 10, 15, -1, 4, 121100.21, 504971.6, 29412966., b'', b'', b'', b'')\n",
      "(5, 12, b'       HORT+DUNN', 10, 15, -1, 4, 121100.21, 504971.6, 29412966., b'', b'', b'', b'')\n",
      "(5, 12, b'  STORAGE CHANGE', 10, 15, -1, 4, 121100.21, 504971.6, 29412966., b'', b'', b'', b'')\n",
      "(10, 12, b'           GW ET', 10, 15, -1, 4, 195033.11, 1318233.4, 30226228., b'', b'', b'', b'')\n",
      "(10, 12, b'    UZF RECHARGE', 10, 15, -1, 4, 195033.11, 1318233.4, 30226228., b'', b'', b'', b'')\n",
      "(10, 12, b' SURFACE LEAKAGE', 10, 15, -1, 4, 195033.11, 1318233.4, 30226228., b'', b'', b'', b'')\n",
      "(10, 12, b'       HORT+DUNN', 10, 15, -1, 4, 195033.11, 1318233.4, 30226228., b'', b'', b'', b'')\n",
      "(10, 12, b'  STORAGE CHANGE', 10, 15, -1, 4, 195033.11, 1318233.4, 30226228., b'', b'', b'', b'')\n",
      "(15, 12, b'           GW ET', 10, 15, -1, 4, 314102.8, 2627999.8, 31535994., b'', b'', b'', b'')\n",
      "(15, 12, b'    UZF RECHARGE', 10, 15, -1, 4, 314102.8, 2627999.8, 31535994., b'', b'', b'', b'')\n",
      "(15, 12, b' SURFACE LEAKAGE', 10, 15, -1, 4, 314102.8, 2627999.8, 31535994., b'', b'', b'', b'')\n",
      "(15, 12, b'       HORT+DUNN', 10, 15, -1, 4, 314102.8, 2627999.8, 31535994., b'', b'', b'', b'')\n",
      "(15, 12, b'  STORAGE CHANGE', 10, 15, -1, 4, 314102.8, 2627999.8, 31535994., b'', b'', b'', b'')\n"
     ]
    }
   ],
   "source": [
    "fpth = os.path.join(path, \"UZFtest2.uzfcb2.bin\")\n",
    "avail = os.path.isfile(fpth)\n",
    "if avail:\n",
    "    uzfbdobjct = flopy.utils.CellBudgetFile(fpth)\n",
    "    uzfbdobjct.list_records()\n",
    "else:\n",
    "    print('\"{}\" is not available'.format(fpth))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:09.701463Z",
     "iopub.status.busy": "2022-12-15T13:22:09.700749Z",
     "iopub.status.idle": "2022-12-15T13:22:10.030141Z",
     "shell.execute_reply": "2022-12-15T13:22:10.028986Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if success and avail:\n",
    "    r = uzfbdobjct.get_data(text=\"UZF RECHARGE\")\n",
    "    et = uzfbdobjct.get_data(text=\"GW ET\")\n",
    "\n",
    "    fig = plt.figure(figsize=(8, 8))\n",
    "    ax = fig.add_subplot(1, 1, 1, aspect=\"equal\")\n",
    "    mapview = flopy.plot.PlotMapView(model=m)\n",
    "    quadmesh = mapview.plot_array(r[6])\n",
    "    plt.colorbar(quadmesh)\n",
    "    linecollection = mapview.plot_grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:10.035045Z",
     "iopub.status.busy": "2022-12-15T13:22:10.034125Z",
     "iopub.status.idle": "2022-12-15T13:22:10.309924Z",
     "shell.execute_reply": "2022-12-15T13:22:10.308120Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if avail:\n",
    "    rtot = [rp.sum() for rp in r]\n",
    "    ettot = [etp.sum() for etp in et]\n",
    "    sltot = [sl.sum() for sl in uzfbdobjct.get_data(text=\"SURFACE LEAKAGE\")]\n",
    "\n",
    "    plt.plot(rtot, label=\"simulated recharge\")\n",
    "    plt.plot(np.abs(ettot), label=\"simulated actual et\")\n",
    "    plt.plot(np.abs(sltot), label=\"simulated surface leakage\")\n",
    "    plt.xlabel(\"Timestep\")\n",
    "    plt.ylabel(\"Volume, in cubic feet\")\n",
    "    plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Look at the gages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:10.315049Z",
     "iopub.status.busy": "2022-12-15T13:22:10.314457Z",
     "iopub.status.idle": "2022-12-15T13:22:10.659105Z",
     "shell.execute_reply": "2022-12-15T13:22:10.658060Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fpth = os.path.join(path, \"UZFtest2.uzf68.out\")\n",
    "avail = os.path.isfile(fpth)\n",
    "if avail:\n",
    "    dtype = [\n",
    "        (\"TIME\", float),\n",
    "        (\"APPLIED-INFIL\", float),\n",
    "        (\"RUNOFF\", float),\n",
    "        (\"ACTUAL-INFIL\", float),\n",
    "        (\"SURFACE-LEAK\", float),\n",
    "        (\"UZ-ET\", float),\n",
    "        (\"GW-ET\", float),\n",
    "        (\"UZSTOR-CHANGE\", float),\n",
    "        (\"RECHARGE\", float),\n",
    "    ]\n",
    "    # read data from file\n",
    "    df = np.genfromtxt(fpth, skip_header=3, dtype=dtype)\n",
    "    # convert numpy recarray to pandas dataframe\n",
    "    df = pd.DataFrame(data=df)\n",
    "    # set index to the time column\n",
    "    df.set_index([\"TIME\"], inplace=True)\n",
    "    # plot the data\n",
    "    ax = df.plot(legend=False, figsize=(15, 10))\n",
    "    patches, labels = ax.get_legend_handles_labels()\n",
    "    ax.legend(patches, labels, loc=1)\n",
    "    ax.set_ylabel(\"Volume for whole model, in cubic feet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot water content profile through time at row 10, column 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:10.663522Z",
     "iopub.status.busy": "2022-12-15T13:22:10.663156Z",
     "iopub.status.idle": "2022-12-15T13:22:10.689155Z",
     "shell.execute_reply": "2022-12-15T13:22:10.688033Z"
    }
   },
   "outputs": [],
   "source": [
    "fpth = os.path.join(path, \"UZFtest2.uzf67.out\")\n",
    "avail = os.path.isfile(fpth)\n",
    "if avail:\n",
    "    data = []\n",
    "    with open(fpth) as input:\n",
    "        for i in range(3):\n",
    "            next(input)\n",
    "        for line in input:\n",
    "            line = line.strip().split()\n",
    "            if len(line) == 6:\n",
    "                layer = int(line.pop(0))\n",
    "                time = float(line.pop(0))\n",
    "                head = float(line.pop(0))\n",
    "                uzthick = float(line.pop(0))\n",
    "            depth = float(line.pop(0))\n",
    "            watercontent = float(line.pop(0))\n",
    "            data.append([layer, time, head, uzthick, depth, watercontent])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:10.693213Z",
     "iopub.status.busy": "2022-12-15T13:22:10.692884Z",
     "iopub.status.idle": "2022-12-15T13:22:10.704021Z",
     "shell.execute_reply": "2022-12-15T13:22:10.703017Z"
    }
   },
   "outputs": [],
   "source": [
    "if avail:\n",
    "    df3 = pd.DataFrame(\n",
    "        data,\n",
    "        columns=[\"layer\", \"time\", \"head\", \"uzthick\", \"depth\", \"watercontent\"],\n",
    "    )\n",
    "    df3.head(41)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:10.708247Z",
     "iopub.status.busy": "2022-12-15T13:22:10.707924Z",
     "iopub.status.idle": "2022-12-15T13:22:10.714904Z",
     "shell.execute_reply": "2022-12-15T13:22:10.713741Z"
    }
   },
   "outputs": [],
   "source": [
    "if avail:\n",
    "    wc = df3.watercontent.values.reshape(len(df3.time.unique()), 40).T\n",
    "    wc = pd.DataFrame(wc, columns=df3.time.unique(), index=df3.depth[0:40])\n",
    "    wc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:10.719030Z",
     "iopub.status.busy": "2022-12-15T13:22:10.718676Z",
     "iopub.status.idle": "2022-12-15T13:22:11.194135Z",
     "shell.execute_reply": "2022-12-15T13:22:11.193003Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if avail:\n",
    "    fig, ax = plt.subplots(figsize=(15, 10))\n",
    "    plt.imshow(wc, interpolation=\"None\")\n",
    "    ax.set_aspect(3)\n",
    "    r, c = wc.shape\n",
    "    xcol_locs = np.linspace(0, c - 1, 8, dtype=int)\n",
    "    ycol_locs = np.linspace(0, r - 1, 5, dtype=int)\n",
    "    ax.set_xticks(xcol_locs)\n",
    "\n",
    "    xlabels = wc.columns\n",
    "    ax.set_xticklabels(xlabels[xcol_locs])\n",
    "    ax.set_ylabel(\"Depth, in feet\")\n",
    "    ax.set_yticks(ycol_locs)\n",
    "    ax.set_yticklabels(wc.index[ycol_locs])\n",
    "    ax.set_xlabel(\"Time, in seconds\")\n",
    "    plt.colorbar(label=\"Water content\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-12-15T13:22:11.198211Z",
     "iopub.status.busy": "2022-12-15T13:22:11.197894Z",
     "iopub.status.idle": "2022-12-15T13:22:11.203519Z",
     "shell.execute_reply": "2022-12-15T13:22:11.202623Z"
    }
   },
   "outputs": [],
   "source": [
    "try:\n",
    "    # ignore PermissionError on Windows\n",
    "    temp_dir.cleanup()\n",
    "except:\n",
    "    pass"
   ]
  }
 ],
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