{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Different `threshold_position` options"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-18T16:35:37.544279Z",
     "iopub.status.busy": "2024-12-18T16:35:37.543967Z",
     "iopub.status.idle": "2024-12-18T16:35:43.251349Z",
     "shell.execute_reply": "2024-12-18T16:35:43.250568Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tobac\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generate Feature Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we will generate some simple feature data where the features that we want to detect are *higher* values than the surrounding (0)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-18T16:35:43.256229Z",
     "iopub.status.busy": "2024-12-18T16:35:43.255564Z",
     "iopub.status.idle": "2024-12-18T16:35:43.364905Z",
     "shell.execute_reply": "2024-12-18T16:35:43.364616Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Dimensions here are time, y, x.\n",
    "input_field_arr = np.zeros((1, 100, 200))\n",
    "input_field_arr[0, 15:85, 10:185] = 50\n",
    "input_field_arr[0, 20:80, 20:80] = 100\n",
    "input_field_arr[0, 40:60, 125:170] = 100\n",
    "input_field_arr[0, 30:40, 30:40] = 200\n",
    "input_field_arr[0, 50:75, 50:75] = 200\n",
    "input_field_arr[0, 55:70, 55:70] = 300\n",
    "\n",
    "plt.pcolormesh(input_field_arr[0])\n",
    "plt.colorbar()\n",
    "plt.title(\"Base data\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-18T16:35:43.389412Z",
     "iopub.status.busy": "2024-12-18T16:35:43.389161Z",
     "iopub.status.idle": "2024-12-18T16:35:43.466627Z",
     "shell.execute_reply": "2024-12-18T16:35:43.466242Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/cw/ddjy53ds5h51szdq1630n50r0000gp/T/ipykernel_88344/1759418141.py:3: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.\n",
      "  input_field_iris = xr.DataArray(\n"
     ]
    }
   ],
   "source": [
    "# We now need to generate an Iris DataCube out of this dataset to run tobac feature detection.\n",
    "# One can use xarray to generate a DataArray and then convert it to Iris, as done here.\n",
    "input_field_iris = xr.DataArray(\n",
    "    input_field_arr,\n",
    "    dims=[\"time\", \"Y\", \"X\"],\n",
    "    coords={\"time\": [np.datetime64(\"2019-01-01T00:00:00\")]},\n",
    ").to_iris()\n",
    "# Version 2.0 of tobac (currently in development) will allow the use of xarray directly with tobac."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### `position_threshold='center'`\n",
    "This option will choose the arithmetic center of the area above the threshold. This is typically not recommended for most data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-18T16:35:43.477255Z",
     "iopub.status.busy": "2024-12-18T16:35:43.476869Z",
     "iopub.status.idle": "2024-12-18T16:35:43.717516Z",
     "shell.execute_reply": "2024-12-18T16:35:43.717058Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [\n",
    "    50,\n",
    "]\n",
    "position_threshold = \"center\"\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_iris,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=position_threshold,\n",
    ")\n",
    "plt.pcolormesh(input_field_arr[0])\n",
    "plt.colorbar()\n",
    "# Plot all features detected\n",
    "plt.scatter(\n",
    "    x=single_threshold_features[\"hdim_2\"].values,\n",
    "    y=single_threshold_features[\"hdim_1\"].values,\n",
    "    color=\"r\",\n",
    "    label=\"Detected Features\",\n",
    ")\n",
    "plt.legend()\n",
    "plt.title(\"position_threshold \" + position_threshold)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### `position_threshold='extreme'`\n",
    "This option will choose the most extreme point of our data. For `target='maximum'`, this will be the largest value in the feature area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-18T16:35:43.719266Z",
     "iopub.status.busy": "2024-12-18T16:35:43.719079Z",
     "iopub.status.idle": "2024-12-18T16:35:43.807450Z",
     "shell.execute_reply": "2024-12-18T16:35:43.807133Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [\n",
    "    50,\n",
    "]\n",
    "position_threshold = \"extreme\"\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_iris,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=position_threshold,\n",
    ")\n",
    "plt.pcolormesh(input_field_arr[0])\n",
    "plt.colorbar()\n",
    "# Plot all features detected\n",
    "plt.scatter(\n",
    "    x=single_threshold_features[\"hdim_2\"].values,\n",
    "    y=single_threshold_features[\"hdim_1\"].values,\n",
    "    color=\"r\",\n",
    "    label=\"Detected Features\",\n",
    ")\n",
    "plt.legend()\n",
    "plt.title(\"position_threshold \" + position_threshold)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### `position_threshold='weighted_diff'`\n",
    "This option will choose the center of the region weighted by the distance from the threshold value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-18T16:35:43.809020Z",
     "iopub.status.busy": "2024-12-18T16:35:43.808920Z",
     "iopub.status.idle": "2024-12-18T16:35:43.898787Z",
     "shell.execute_reply": "2024-12-18T16:35:43.898468Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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w119/VSrmu5Uc/2XLlmHMmDGwtbVFq1at0LRpUyxcuBBz587FH3/8gccffxxubm64cuUKfvrpJzg5OWHBggWwsrLCm2++ieeffx5DhgzB+PHjkZmZCb1eX+VhCjc3N8yYMQNvvfUWnn/+eTz11FNITU2t1raIzMqsU0Kp2kpm7ycmJooBAwaIBg0aCGdnZzFixAhx5coVk77FxcXi3XffFS1bthS2trbC09NTjB49Wj69Uwgh/ve//4kRI0aI5s2bCwcHB+Hq6ioeeeQRsXbtWpNt3X2WhxBCfPHFF6J169bC1tZWABDz5883ibGqsQhx+6yKtm3bltrvMWPGVPmUvPPnz4vw8HDh7Owsn2orRPmz48uaSV9ePELcPuX29ddfF61atRJ2dnby6ZGvvPKKMBgMQgghvvvuO9GvXz/RqFEjYWdnJ7y8vMQTTzwhfvzxR3k7VYlHCCE+/fRT0a5dO/k1Bw0aZHJaoxBlH4P8/Hwxffp04eXlJezt7UXXrl1FfHx8mce2PEOGDBEAxOeffy63FRQUCCcnJ2FlZSUyMjJKrZOSkiKee+450ahRI2FraysaNmwogoODxVtvvVXhvm7btk0EBQUJOzs70aRJE/HOO++Il156Sbi5uZn0AyAmT55c6rXL2rfZs2cLnU4nrKysBABx8OBB+bnt27eLnj17ChcXF6HRaISfn5/45z//Kfbv32+yjU8//VQEBAQIOzs70bJlS/HZZ59V6zNqNBpFVFSU8PX1FXZ2dqJdu3bi22+/FSEhITzLgyyGJMQd9TqyGHq9HgsWLMDVq1fr/NwDIrUVFhaiQ4cOaNSoEfbt22fucIgIHPIgIgswbtw4hIWFwcfHBwaDAStXrsTp06exbNkyc4dGRH9jQkEWq7i4GPcqsEmSBGtr61qMiGpKTk4OZsyYgatXr8LW1hYPP/wwdu/eXWquRl3DzyjVJxzyIIvVtGnTe86Cv/NCRETmEBoaitjY2HKf9/Pzw/nz52svIKIaVOXTRg8fPowBAwZAp9NBkiRs377d5HkhBPR6PXQ6HRwcHBAaGirf9a5Efn4+pk6dCk9PTzg5OWHgwIGlbg5FVJFvv/0WCQkJ5S4ff/yxuUOkeu7jjz++52f022+/NXeIZOFWrFiBdu3awcXFBS4uLujWrZvJjeVq9Tu5qrM4d+/eLebOnSu++eYbAUBs27bN5Pl33nlHODs7i2+++UacPHlSDB8+XPj4+JhcW3/ixImiUaNGIiYmRhw7dkz07NlTtG/f3uTmR0RERHRvO3fuFLt27RLJyckiOTlZzJkzR9ja2opTp04JIWr3O1nRaaN3JxRGo1FotVrxzjvvyG23bt0Srq6uYuXKlUIIITIzM4Wtra3YvHmz3OfPP/8UVlZWYs+ePUrCISIiqvfc3NzEp59+WuvfyapOykxJSYHBYEB4eLjcVnJVwLi4OEyYMAGJiYkoLCw06aPT6RAYGIi4uDj07du31Hbz8/ORn58vPzYajfjrr7/g4eFR5uWQiYiISgghkJOTA51OByurmrtA9K1bt0yu6FpdQohS320ajUa+wmt5iouL8dVXX+HGjRvo1q1bjX0nl0fVhKLkWvR337TH29tbnjxnMBhgZ2cHNze3Un3KuwZ+VFQUFixYoGaoRERUz6Smppa6j5Babt26BX+/BjCkFyveVoMGDZCbm2vSNn/+fOj1+jL7nzx5Et26dcOtW7fQoEEDbNu2DQ8++KB8GXi1v5PLUyOnjd6dWZWVbd3tXn1mz56NadOmyY+zsrLQpEkTdMcTsIGt8oCJiOi+VYRCHMFuk9vaq62goACG9GKkJPrBxbn6VZDsHCP8O15AamqqyeXw71WdaNWqFU6cOIHMzEx88803GDNmjMnZRWp/J5dH1YSi5LrzBoPB5NbK6enpcoak1WpRUFCAjIwMk4woPT0dwcHBZW63vFKPDWxhIzGhICKie/j74gi1MUTu4mylKKGQt/P3WRuVYWdnhxYtWgAAOnXqhISEBCxbtgyzZs0CoP53cnlUHUzy9/eHVqtFTEyM3FZQUIDY2Fg5sI4dO8LW1takT1paGk6dOlXl4ImIiOqSYmFUvCglhEB+fn6tfydXuUKRm5uLc+fOyY9TUlJw4sQJuLu7o0mTJoiIiEBkZCQCAgIQEBCAyMhIODo6YuTIkQAAV1dXjBs3DtOnT4eHhwfc3d0xY8YMBAUF1fmr3hEREd2LEQJGVP96kVVdd86cOejXrx98fX2Rk5ODzZs349ChQ9izZw8kSarV7+QqJxQ///wzevbsKT8umdswZswYrF27FjNnzkReXh4mTZqEjIwMdOnSBfv27TMZu1qyZAlsbGwwbNgw5OXloXfv3li7di0vQUtERBbNCCOU1BiquvaVK1fwzDPPIC0tDa6urmjXrh327NmDsLAwAKjV72SLvPR2dnY2XF1dEYpBnENBpBJJAhwfcISDs4anY5PFEEIgLycfNzNvorxvsyJRiEPYgaysrErPS6iqku+ly8mNFU/K1LW6VKOx1hTeHIyI4NKwAcIn9kCLzk1v/1XCfIIshbh9/YVzCeexb+VhZF/NrXidGlQsBIoV/J2uZF1zY0JBVM9Z21jh2ff/CZ2/N5zsG0BSd642UY0TMMIlzBnaFl5YMW49iouUT2ysrtqeQ1GXMKEgquce8HGFi2cDNLB3hjV/JZBFskYDe2e4eN7AA1oXXL+Uae6A6iX+9iCq56yspL/nTHCcgyzZ7c+xlbV5K2xGCBSzQkFERERK1OchDw6WEhERkWJMKIiILESvgSFYu2mNucOgeyg5y0PJYqmYUBCRxXpNPxOtOrdAq84t0LZrawT37YJ/TR6Dr3d+BaOxajP9o1ctw6CRA1SPsTaTgOhVy+T3484l7r//UWX7/008iladWyA7J1uV7d2PjCoslopzKIhIPcXFcDiRAJtrV1Hk2RB5HToDNXwF3Me69UDUG+/CaCzGtb+u4cf4w3j7g7ew94c9WPHBx7CxqV+/5gKaBWDNh+tN2lxdXc0UTfkKiwpha8MLE95PWKEgIlU0OLAX/gND4DtxNHxefwW+E0fDf2AIGhzYW6Ova2dnh4aeDeHtpUXb1oGY+K9J+Oj9lTgcF4tt330j98vJzcG8t+eiW/gjeDi0PZ59cTT+d+Y0AGDrt99g+SfR+N/Z0/Jf9Vu//abC9Ur8ELsfQ58djKBHH0SXPp0x5dVJAIBnJozEn2l/ImrJ2/J2Sxz75RhGvTAC7bq3RciT3fHW+wtxM++m/Pz1v65j4ivj0a57W/QaFIqd3++o1PthbW2Dhp4NTRY7W7tKveaO3dsx9NnBeCikPR7t2xXTX38F1/+6DgC4dPkSnp04GgDQudfDaNW5BV7TzwRQdhVm0MgBiF61TH7cqnMLfPHNJrw4fQI6PBaEFas/BAAcOPwDhj4zCEGPPojeg3pi+Sf/RlFRkbxe9KplCO3/GAKD26B7v2C89f7CSr0P5lL891keShZLxYSCiBRrcGAvfGZNgU26waTdJv0KfGZNqfGk4m7dOndD64A22HdwH4Dbl2d+IeJ5XL1+FauWrsbW9TvQtlVbjJn0LDKzMvFE2JN4btQ4BDQLwJHv43Hk+3g8EfZkhesBwKEjBzF11mSEPhqK7Rt3Yt1H6xH4YCAAIHrRR9B6afHShAh5uwCQfC4Z4176F8JCw7Fz0y4sifw3Ek/8jDcXLZD34bUFM/Fn2p9Y99EG/Pud5dj09efyl3t1VOY1C4sK8fKEV7Dz82/x4fsrcOlyKl5bcDtp8PH2QfS7t5OAPV/H4Mj38Zg7Y16VYohetQy9Q/rg2y924R8Dn8KP8Yfx6hvT8czwMdi9ZQ8WznkTW7/bipVrPrr9Oj98j7Wb1mDB7Lewb+sP+Oj9FWjZvGW134PaUCyUL5aqftUCiUh9xcVo+MGbAESpK1lIEBCQ0HDxW8gN6VPjwx93ata0GZLP/Q8AcPTnozhzLhnx+/4LOzsNAGBWxGzsj43B3h/2YPjQp+Ho6Cj/dV8iPiG+wvVWfvYRngh7Ei9NiJDXa92yDQDgAdcHYG1tDSdHJ5Ptrt7wCQb0HYCxI/8FAGjapCnmzngDz0wYCf1rC3HZcBmH42Lx5Zqv0T6wAwDg7XlReOKpvhXu95nfk/FQj3by4+b+LfD1uq0VvqZGo8E/Bz4lr+fbuAnmTn8DT40dihs3b8DJ0UkeOvFw94CLc9XvM9G/7wCT15g5fwZeGDMBQ/oPlV/z5QkReC96EaaMfwlphsvw9GiI4C7BsLWxhU6rQ7u27av8urVJ6TwIzqEgonrL4UQCbO+qTNxJgoDtlTQ4nEhAXseutRaXEALS3ylO0v9O4WbeTXTp09mkz638W7j458Vyt1GZ9U6fOY2nBg+vUmxJp0/hwqUL+HbPTpN4jUYjLl1ORcrFFNhY2yCwTZD8fPOmzSv1Je7v548VH3wsPy4Z7qjoNZv7t8BvyUmIXvVv/O/MaWRmZ0H8PbE1zXAZLZoFVGkfy3Ln/pTEdPK3X7FyzQq5rdhYjPz8fOTdysPjvfth3Rdr0WdQTzzWrQdCHg1Fz8d61bt5MZaCR4WIFLG5dlXVfmr5/fzvaNzIFwBgNBrR0LMhNqz8vFQ/53t8SVdmPXt7+yrHZhQCTw8dgWeGP1vqOR+tDikXUgCgWnd9tbWxg59v0yq/5s28m3huylg82uUxvLfwA7i5uSPNcBnjpv4LhYWF93xNSbIC7hr7LyoqvY6jg+NdMRkx9YWXEd4zvFRfjZ0GPlod9nwdg//89wjiE+Kw4N35WL3hE2xYtanOTug0QkKxgqvOGi34irVMKIhIkaI7Svlq9FNDyVDF2BG3y/ttW7fFtevXYG1tg8a6xmWuY2trC6Ox2KStMuu1bNEK8Qlx+MfAf1Z6uw+2aouzv58t84sfAJo1bY6i4iKcOn1SLvH/cf4PRadrVvSaZ86dQUZmBmZMmQEfrQ4AcOq3k6b7YnO72lFcbLo/7m7uSL8jYczNzcGly5cqFVPKhT/KjQm4nbD1DumD3iF9MPKfo9HvqXCcOZeMtq0DK9y+ORjF7UXJ+paKkzKJSJG8Dp1R6KUtYwbFbQISCr19bp9CWgMKCgpw9dpVXEk3IOl/p7ByzUeYNGMienbvicFPDgEABD/yKDoEPYTJM17Ej/GHcenyJRz75RiWrFiMk39/aTbyaYxLly/hdPJv+CvzLxQU5FdqvSnjp2LXvu/w74+X4veUc0g+l4xP1q+S42vk0wgJxxNwJd2AvzL/AgCMH/MCTpw8jgXvzsfp5N9w/uJ5/BC7H2++d3uCZLOmzfBYtx54/e25+OXUCZw6fQqvvz0H9pqqV0NKVPSaOq0PbG1tseHLDUi9dBE/xO7HR3+fifH/+6KDJEk4dOQg/sq4jhs3bwAAunbqip27t+Pn4wk4c+4MZi2YCatKzJeZ/PwU7Ni1HdGrluHs72fwe8o57N63C0tWLAZw++ybr3Z8iTPnziD10kXs+H477DX20GkbVft9oJrDCgURKWNtjavT58Fn1hTcnrXw/39ilSQZV6e9XmMTMn+MP4zu/brBxtoGLi4uaB3QBq9Pn4ch/YfCyur230ySJGHV0k+xdMVizHlzNjIy/oKnhyc6PdQZnu4eAIC+vfoi5uBePPviaGTnZCPqjXcxdMA/KlyvS8euWBYVjY9WL8eqdR+jgVMDdH7oETm+lyZE4I2oeegzpBcKCgqQnHAOrQNaY8PHm7B0xQcY+cIIQAj4Nm6CJ8KekNeLeuNdvP72HIyeMBKe7p54+cVX8O8radV+nyp6TXc3D7wzfxEWf/QBNmxZh7at2mLWy6/hxekT5G14e2kx9YWX8cHy9zB74SwMfmII3tEvwoSxE5H6ZyomvDIezg2c8fLEV3Dpz4orFI9164GVS1bhw0+X49P1n8DGxgbNmjbHU4NuT9x0cXbBqnUr8c6SSBiNRrRs0RIrF6+C2wNu1X4falqxwiEPJeuamySE5V3nMzs7G66urgjFINhIdXMcjchSNPRzxwsrRsHbUwtrVP9Lv8GBvWj4wZsmEzQLvX1wddrryO1V8dkJREoUoxhXrhmw6sXPcfXCXybPFYlCHMIOZGVlwcWl6menVEbJ91Jckg8aOFe/+J+bY0Rw27QajbWmsEJBRKrI7dUXuSF9av1KmURUNzChICL1WFvX6qmhRHWNUUgwCgVneShY19yYUBAREamkPs+h4FkeREREpBgrFET1nBACFjg3m6iUuvBZLoYVihX8rV5ccZc6iwkFUT2Xc/0GigqKYUSxorM8iMzJiGIUFRQj+9oNs8YhFM6hEJxDQUSWKv9GARK+/QWPPa2B+wPusGJSQRbGiGL8lfkXEr79BQU3C8waS32eQ8GEgohwaE0cAKDzgPawsbOu1j0kiMxBCIGigmIkfPuL/Dkm82BCQUQQAjj4WRz+s/lnuHg6MaEgiyGEQPa1G2avTJQoFlYoFgrmUFjwdCYmFEQkK7hZgGsX68YvZiJLZIQEo4JJmUZYbkbB00aJiIhIMVYoiIiIVMJJmURERKSY8jkUHPIgIiKieowVCiIiIpXcnpSp4OZgHPIgIiIio8JLb/MsDyIiIqrXWKEgIiJSSX2elMmEgoiISCVGWNXbC1sxoSAiIlJJsZBQrOCOoUrWNTfOoSAiIiLFWKEgIiJSSbHCszyKOeRBRERERmEFo4JJmUYLnpTJIQ8iIiJSjBUKIiIilXDIg4iIiBQzQtmZGkb1Qql1HPIgIiIixVihICIiUonyC1tZ7t/5TCiIiIhUovzS25abUFhu5ERERFRnsEJRomt7c0dARHT/O/qLuSOoUUZIMELJpEzLvfQ2EwoiIiKVcMiDiIiIFCu5DoWSpSqioqLQuXNnODs7w8vLC4MHD0ZycrJJn7Fjx0KSJJOla9euJn3y8/MxdepUeHp6wsnJCQMHDsSlS5eqFAsTCiIiIgsVGxuLyZMn4+jRo4iJiUFRURHCw8Nx48YNk36PP/440tLS5GX37t0mz0dERGDbtm3YvHkzjhw5gtzcXPTv3x/FxcWVjoVDHkRERCoxCglGJRe2quK6e/bsMXm8Zs0aeHl5ITExET169JDbNRoNtFptmdvIysrC6tWrsWHDBvTp0wcAsHHjRvj6+mL//v3o27dvpWJhhYKIiEglRoXDHSXXocjOzjZZ8vPzK/X6WVlZAAB3d3eT9kOHDsHLywstW7bE+PHjkZ6eLj+XmJiIwsJChIeHy206nQ6BgYGIi4ur9L4zoSAiIqpjfH194erqKi9RUVEVriOEwLRp09C9e3cEBgbK7f369cPnn3+OAwcO4IMPPkBCQgJ69eolJykGgwF2dnZwc3Mz2Z63tzcMBkOlY+aQBxERkUqU37789rqpqalwcXGR2zUaTYXrTpkyBb/++iuOHDli0j58+HD5/4GBgejUqRP8/Pywa9cuDB06tNztCSEgSZUfgmFCQUREpJJiSChWcC2JknVdXFxMEoqKTJ06FTt37sThw4fRuHHje/b18fGBn58fzp49CwDQarUoKChARkaGSZUiPT0dwcHBlY6BQx5EREQWSgiBKVOmYOvWrThw4AD8/f0rXOf69etITU2Fj48PAKBjx46wtbVFTEyM3CctLQ2nTp2qUkLBCgUREZFK1BryqKzJkydj06ZN2LFjB5ydneU5D66urnBwcEBubi70ej3+8Y9/wMfHB+fPn8ecOXPg6emJIUOGyH3HjRuH6dOnw8PDA+7u7pgxYwaCgoLksz4qgwkFERGRSooBhUMeVbNixQoAQGhoqEn7mjVrMHbsWFhbW+PkyZNYv349MjMz4ePjg549e2LLli1wdnaW+y9ZsgQ2NjYYNmwY8vLy0Lt3b6xduxbW1taVjoUJBRERkYUSQtzzeQcHB+zdu7fC7djb2yM6OhrR0dHVjoUJBRERkUpqe8ijLmFCQUREpBLeHExFRUVFeP311+Hv7w8HBwc0a9YMCxcuhNFolPsIIaDX66HT6eDg4IDQ0FAkJSWpHQoREVGtEn/fvry6i7Dg25ernlC8++67WLlyJZYvX47Tp09j0aJFeO+990zGZRYtWoTFixdj+fLlSEhIgFarRVhYGHJyctQOh4iIiGqB6kMe8fHxGDRoEJ588kkAQNOmTfHFF1/g559/BnC7OrF06VLMnTtXvkLXunXr4O3tjU2bNmHChAlqh0RERFQrOOShou7du+OHH37AmTNnAAC//PILjhw5gieeeAIAkJKSAoPBYHITEo1Gg5CQkHJvQpKfn1/qRilERER1TcndRpUslkr1CsWsWbOQlZWF1q1bw9raGsXFxXj77bcxYsQIAJAvuuHt7W2ynre3Ny5cuFDmNqOiorBgwQK1Q61R19s7mTsEqiEev9wwdwhERHWO6hWKLVu2YOPGjdi0aROOHTuGdevW4f3338e6detM+t19w5F73YRk9uzZyMrKkpfU1FS1wyYiIlJMya3LSxZLpXqF4tVXX8Vrr72Gp59+GgAQFBSECxcuICoqCmPGjIFWqwVwu1JRch1x4PZNSO6uWpTQaDSVutMaERGROSkdtrDkIQ/VU6GbN2/Cysp0s9bW1vJpo/7+/tBqtSY3ISkoKEBsbGyVbkJCREREdYfqFYoBAwbg7bffRpMmTdC2bVscP34cixcvxnPPPQfg9lBHREQEIiMjERAQgICAAERGRsLR0REjR45UOxwiIqJaY4QVjAr+VleyrrmpnlBER0dj3rx5mDRpEtLT06HT6TBhwgS88cYbcp+ZM2ciLy8PkyZNQkZGBrp06YJ9+/aZ3KiEiIjI0hQLCcUKhi2UrGtuqicUzs7OWLp0KZYuXVpuH0mSoNfrodfr1X55IiIiMgPey4OIiEgl9XlSJhMKIiIilQiFdxsVFnylTCYUREREKimGhGIFN/hSsq65WW4qRERERHUGKxREREQqMQpl8yCMQsVgahkTCiIiIpUYFc6hULKuuVlu5ERERFRnsEJBRESkEiMkGBVMrFSyrrkxoSAiIlJJfb5SJoc8iIiISDFWKIiIiFRSnydlMqEgVdgMumruEBQr2tHQ3CEQkYUzQuGlty14DoXlpkJERERUZ7BCQUREpBKh8CwPYcEVCiYUREREKuHdRomIiEix+jwp03IjJyIiojqDFQoiIiKVcMiDiIiIFKvPl97mkAcREREpxgoFERGRSjjkQURERIrV54SCQx5ERESkGCsUREREKqnPFQomFERERCqpzwkFhzyIiIhIMVYoiIiIVCKg7FoSQr1Qah0TCiIiIpXU5yEPJhREREQqqc8JBedQEBERkWKsUFCtOdrha7O8btcT/zTL6xJR/VOfKxRMKIiIiFRSnxMKDnkQERGRYqxQEBERqUQICUJBlUHJuubGhIKIiEglRkiKrkOhZF1z45AHERERKcYKBRERkUrq86RMJhREREQqqc9zKDjkQUREZKGioqLQuXNnODs7w8vLC4MHD0ZycrJJHyEE9Ho9dDodHBwcEBoaiqSkJJM++fn5mDp1Kjw9PeHk5ISBAwfi0qVLVYqFCQUREZFKSoY8lCxVERsbi8mTJ+Po0aOIiYlBUVERwsPDcePGDbnPokWLsHjxYixfvhwJCQnQarUICwtDTk6O3CciIgLbtm3D5s2bceTIEeTm5qJ///4oLi6udCwc8iAiIlJJbQ957Nmzx+TxmjVr4OXlhcTERPTo0QNCCCxduhRz587F0KFDAQDr1q2Dt7c3Nm3ahAkTJiArKwurV6/Ghg0b0KdPHwDAxo0b4evri/3796Nv376VioUVCiIiIpUIhdWJkoQiOzvbZMnPz6/U62dlZQEA3N3dAQApKSkwGAwIDw+X+2g0GoSEhCAuLg4AkJiYiMLCQpM+Op0OgYGBcp/KYEJBRERUx/j6+sLV1VVeoqKiKlxHCIFp06ahe/fuCAwMBAAYDAYAgLe3t0lfb29v+TmDwQA7Ozu4ubmV26cyOORBRESkEgFACGXrA0BqaipcXFzkdo1GU+G6U6ZMwa+//oojR46Uek6STIdShBCl2krFUok+d2KFgoiISCUlV8pUsgCAi4uLyVJRQjF16lTs3LkTBw8eROPGjeV2rVYLAKUqDenp6XLVQqvVoqCgABkZGeX2qQwmFERERBZKCIEpU6Zg69atOHDgAPz9/U2e9/f3h1arRUxMjNxWUFCA2NhYBAcHAwA6duwIW1tbkz5paWk4deqU3KcyOORBRESkkto+y2Py5MnYtGkTduzYAWdnZ7kS4erqCgcHB0iShIiICERGRiIgIAABAQGIjIyEo6MjRo4cKfcdN24cpk+fDg8PD7i7u2PGjBkICgqSz/qoDCYUREREKjEKCVItXnp7xYoVAIDQ0FCT9jVr1mDs2LEAgJkzZyIvLw+TJk1CRkYGunTpgn379sHZ2Vnuv2TJEtjY2GDYsGHIy8tD7969sXbtWlhbW1c6FiYUREREFkpUYgaoJEnQ6/XQ6/Xl9rG3t0d0dDSio6OrHQsTCiIiIpUIofAsDwXrmhsTCiIiIpXw5mBERERECrBCQUREpJL6XKFgQkFERKSS2j7Loy5hQkFERKSS+jwpk3MoiIiISDFWKIiIiFRyu0KhZA6FisHUMiYUREREKqnPkzI55EFERESKsUJBRESkEvH3omR9S8WEgoiISCUc8iAiIiJSgBUKIiIitdTjMY8aqVD8+eefGD16NDw8PODo6IgOHTogMTFRfl4IAb1eD51OBwcHB4SGhiIpKakmQiEiIqo9fw95VHcBhzz+X0ZGBh599FHY2tri+++/x2+//YYPPvgADzzwgNxn0aJFWLx4MZYvX46EhARotVqEhYUhJydH7XCIiIhqTcmVMpUslkr1IY93330Xvr6+WLNmjdzWtGlT+f9CCCxduhRz587F0KFDAQDr1q2Dt7c3Nm3ahAkTJqgdEhEREdUw1SsUO3fuRKdOnfDUU0/By8sLDz30ED755BP5+ZSUFBgMBoSHh8ttGo0GISEhiIuLK3Ob+fn5yM7ONlmIiIjqGiXDHUrPEDE31SsUf/zxB1asWIFp06Zhzpw5+Omnn/DSSy9Bo9Hg2WefhcFgAAB4e3ubrOft7Y0LFy6Uuc2oqCgsWLBA7VCJqI663t7J3CHUCx6/3DB3CPcfpfMgLDihUL1CYTQa8fDDDyMyMhIPPfQQJkyYgPHjx2PFihUm/STJ9E0TQpRqKzF79mxkZWXJS2pqqtphExERkQKqJxQ+Pj548MEHTdratGmDixcvAgC0Wi0AyJWKEunp6aWqFiU0Gg1cXFxMFiIiorqmPk/KVD2hePTRR5GcnGzSdubMGfj5+QEA/P39odVqERMTIz9fUFCA2NhYBAcHqx0OERFR7REqLBZK9TkUr7zyCoKDgxEZGYlhw4bhp59+wqpVq7Bq1SoAt4c6IiIiEBkZiYCAAAQEBCAyMhKOjo4YOXKk2uEQERFRLVA9oejcuTO2bduG2bNnY+HChfD398fSpUsxatQouc/MmTORl5eHSZMmISMjA126dMG+ffvg7OysdjhERES1pj7fy6NGLr3dv39/9O/fv9znJUmCXq+HXq+viZcnIiIyHwsetlCCNwcjIiIixXhzMCIiIpVwyIOIiIiUq8d3G2VCQUREpBrp70XJ+paJcyiIiIhIMVYoiIiI1MIhDyIiIlKsHicUHPIgIiIixVihICIiUks9vn05EwoiIiKVKL1jKO82SkRERPUaKxRUa7qe+Ke5QyAiqln1eFImEwoiIiK11OM5FBzyICIiIsVYoSAiIlKJJG4vSta3VEwoiIiI1MI5FESWx6rYiA5JqfD8KxfX3BvgRFtfGK05ikdEZlSP51AwoSCLFPqfZExfGQPvazly2xVPZ3wwMQyHHm1lxsiIiOon/jlHFif0P8l4962taHhHMgEADa/l4N23tiL0P8lmioyI6j2hwmKhmFCQRbEqNmL6yhgIlP7wWuH2z+K0j2NgVWys/eCIiJhQEFmGDkmp8L6WU+4H1wqA9moOOiSl1mZYRET1HudQkEXx/CtX1X5ERKriWR5EluGaewNV+xERqaoen+XBIQ+yKCfa+uKKpzPKmyFhBGBo6IwTbX1rMywionqPCQVZFKO1FT6YGAYJKJVUGAFIABZPCOP1KIjILEqulKlksVT8rUsW59CjrTDr9aG46uls0p7e0BmzXh/K61AQkfnwLA8iy3Lo0VYYtHYSJr47Eq/PGoiJ747E4DWTmEwQUb1z+PBhDBgwADqdDpIkYfv27SbPjx07FpIkmSxdu3Y16ZOfn4+pU6fC09MTTk5OGDhwIC5dulSlOJhQkMUyWlvhWDs/7Atti2Pt/DjMQUT10o0bN9C+fXssX7683D6PP/440tLS5GX37t0mz0dERGDbtm3YvHkzjhw5gtzcXPTv3x/FxcWVjoNneRAREalEgsK7jf79b3Z2tkm7RqOBRqMpc51+/fqhX79+99yuRqOBVqst87msrCysXr0aGzZsQJ8+fQAAGzduhK+vL/bv34++fftWKnYmFKSKoh0NzR0CEZH5qXTaqK+v6Zlq8+fPh16vr/ZmDx06BC8vLzzwwAMICQnB22+/DS8vLwBAYmIiCgsLER4eLvfX6XQIDAxEXFwcEwoiIiJLlZqaChcXF/lxedWJyujXrx+eeuop+Pn5ISUlBfPmzUOvXr2QmJgIjUYDg8EAOzs7uLm5mazn7e0Ng8FQ6ddhQkFERKQWla6U6eLiYpJQKDF8+HD5/4GBgejUqRP8/Pywa9cuDB06tPxQhIAkVb7awllsREREarGA00Z9fHzg5+eHs2fPAgC0Wi0KCgqQkZFh0i89PR3e3t6V3i4TCiIionrk+vXrSE1NhY+PDwCgY8eOsLW1RUxMjNwnLS0Np06dQnBwcKW3yyEPIiIilSi92mV11s3NzcW5c+fkxykpKThx4gTc3d3h7u4OvV6Pf/zjH/Dx8cH58+cxZ84ceHp6YsiQIQAAV1dXjBs3DtOnT4eHhwfc3d0xY8YMBAUFyWd9VAYTCiIiIrWY4W6jP//8M3r27Ck/njZtGgBgzJgxWLFiBU6ePIn169cjMzMTPj4+6NmzJ7Zs2QJn5/+/2vCSJUtgY2ODYcOGIS8vD71798batWthbW1d6TiYUBAREVmw0NBQCFF+JrJ3794Kt2Fvb4/o6GhER0dXOw4mFERERGoxQ4WirmBCQUREpBJzzKGoK3iWBxERESnGCgUREZFaVLr0tiViQkFERKQWzqEgIiIipTiHgoiIiEgBViiIiIjUwiEPIiIiUkzhkIclJxQc8iAiIiLFWKEgIiJSC4c8iIiISLF6nFBwyIOIiIgUY4WCiIhIJbwOBREREZECTCiIiIhIMQ55EBERqaUeT8pkQkFERKSS+jyHggkFERGRmiw4KVCCcyiIiIhIMVYoiIiI1MI5FERERKRUfZ5DwSEPIiIiUowVCiIiIrVwyIOIiIiU4pAHERERkQI1nlBERUVBkiRERETIbUII6PV66HQ6ODg4IDQ0FElJSTUdChERUc0SKiwWqkYTioSEBKxatQrt2rUzaV+0aBEWL16M5cuXIyEhAVqtFmFhYcjJyanJcIiIiGoWEwr15ebmYtSoUfjkk0/g5uYmtwshsHTpUsydOxdDhw5FYGAg1q1bh5s3b2LTpk1lbis/Px/Z2dkmCxEREdUdNTYpc/LkyXjyySfRp08fvPXWW3J7SkoKDAYDwsPD5TaNRoOQkBDExcVhwoQJpbYVFRWFBQsW1FSoFsFm0FVVt1e0o6Gq2yNSk8cvN8wdAlG1cFKmyjZv3oxjx44hKiqq1HMGgwEA4O3tbdLu7e0tP3e32bNnIysrS15SU1PVD5qIiEipejzkoXqFIjU1FS+//DL27dsHe3v7cvtJkmTyWAhRqq2ERqOBRqNRNU4iIiLV1ePrUKheoUhMTER6ejo6duwIGxsb2NjYIDY2Fv/+979hY2MjVyburkakp6eXqloQERGRZVA9oejduzdOnjyJEydOyEunTp0watQonDhxAs2aNYNWq0VMTIy8TkFBAWJjYxEcHKx2OERERLWmZA6FksVSqT7k4ezsjMDAQJM2JycneHh4yO0RERGIjIxEQEAAAgICEBkZCUdHR4wcOVLtcIiIiGpPPR7yMMult2fOnIm8vDxMmjQJGRkZ6NKlC/bt2wdnZ2dzhENEREQK1UpCcejQIZPHkiRBr9dDr9fXxssTERHVivp82ihvDkZERKSWejzkwZuDERERkWKsUBAREamlHlcomFAQERGpRPp7UbK+peKQBxERESnGCgUREZFaOORBRERESvG0USIiIlKuHlcoOIeCiIiIFGOFgoiISE0WXGVQggkFERGRSurzHAoOeRAREZFirFAQERGphZMyiYiISKmSIQ8lS1UdPnwYAwYMgE6ngyRJ2L59u8nzQgjo9XrodDo4ODggNDQUSUlJJn3y8/MxdepUeHp6wsnJCQMHDsSlS5eqFAcTCiIiIgt248YNtG/fHsuXLy/z+UWLFmHx4sVYvnw5EhISoNVqERYWhpycHLlPREQEtm3bhs2bN+PIkSPIzc1F//79UVxcXOk4OORBRESkFjMMefTr1w/9+vUre3NCYOnSpZg7dy6GDh0KAFi3bh28vb2xadMmTJgwAVlZWVi9ejU2bNiAPn36AAA2btwIX19f7N+/H3379q1UHKxQEBERqUStIY/s7GyTJT8/v1rxpKSkwGAwIDw8XG7TaDQICQlBXFwcACAxMRGFhYUmfXQ6HQIDA+U+lcGEgoiIqI7x9fWFq6urvERFRVVrOwaDAQDg7e1t0u7t7S0/ZzAYYGdnBzc3t3L7VAaHPIiIiNSi0pBHamoqXFxc5GaNRqMoLEkyvTG6EKJUW6lQKtHnTqxQEBERqUWosABwcXExWaqbUGi1WgAoVWlIT0+XqxZarRYFBQXIyMgot09lMKEgIiJSiTlOG70Xf39/aLVaxMTEyG0FBQWIjY1FcHAwAKBjx46wtbU16ZOWloZTp07JfSqDQx5EREQWLDc3F+fOnZMfp6Sk4MSJE3B3d0eTJk0QERGByMhIBAQEICAgAJGRkXB0dMTIkSMBAK6urhg3bhymT58ODw8PuLu7Y8aMGQgKCpLP+qgMJhRERERqMcNpoz///DN69uwpP542bRoAYMyYMVi7di1mzpyJvLw8TJo0CRkZGejSpQv27dsHZ2dneZ0lS5bAxsYGw4YNQ15eHnr37o21a9fC2tq60nEwoSAiIlKJJAQkUf2MojrrhoaGQtxjPUmSoNfrodfry+1jb2+P6OhoREdHV/n1S3AOBRERESnGCgUREZFa6vHNwZhQEBERqUTpmRpqn+VRmzjkQURERIqxQkFERKQWDnlQXVe0o6G5QyAiogpwyIOIiIhIAVYoiIiI1MIhDyIiIlKqPg95MKEgIiJSSz2uUHAOBRERESnGCgUREZGKLHnYQgkmFERERGoR4vaiZH0LxSEPIiIiUowVCiIiIpXwLA8iIiJSjmd5EBEREVUfKxREREQqkYy3FyXrWyomFERERGrhkAcRERFR9bFCQUREpBKe5UFERETK1eMLWzGhICIiUkl9rlBwDgUREREpxgoFERGRWurxWR5MKIiIiFTCIQ8iIiIiBVihICIiUgvP8iAiIiKlOORBREREpAArFERERGrhWR5ERESkFIc8iIiIiBRghYKIiEgtRnF7UbK+hWJCQUREpBbOoSAiIiKlJCicQ6FaJLWPcyiIiIhIMVYoiIiI1MIrZRIREZFSPG1URVFRUejcuTOcnZ3h5eWFwYMHIzk52aSPEAJ6vR46nQ4ODg4IDQ1FUlKS2qEQERFRLVE9oYiNjcXkyZNx9OhRxMTEoKioCOHh4bhx44bcZ9GiRVi8eDGWL1+OhIQEaLVahIWFIScnR+1wiIiIao9QYbFQqg957Nmzx+TxmjVr4OXlhcTERPTo0QNCCCxduhRz587F0KFDAQDr1q2Dt7c3Nm3ahAkTJpTaZn5+PvLz8+XH2dnZaodNRESkmCQEJAXzIJSsa241PociKysLAODu7g4ASElJgcFgQHh4uNxHo9EgJCQEcXFxZSYUUVFRWLBgQU2HqiqPX25U3ImIiOg+UaOnjQohMG3aNHTv3h2BgYEAAIPBAADw9vY26evt7S0/d7fZs2cjKytLXlJTU2sybCIiouoxqrBYqBqtUEyZMgW//vorjhw5Uuo5STK9fIcQolRbCY1GA41GUyMxEhERqaU+D3nUWIVi6tSp2LlzJw4ePIjGjRvL7VqtFgBKVSPS09NLVS2IiIjIMqieUAghMGXKFGzduhUHDhyAv7+/yfP+/v7QarWIiYmR2woKChAbG4vg4GC1wyEiIqo9PMtDPZMnT8amTZuwY8cOODs7y5UIV1dXODg4QJIkREREIDIyEgEBAQgICEBkZCQcHR0xcuRItcMhIiKqPbxSpnpWrFgBAAgNDTVpX7NmDcaOHQsAmDlzJvLy8jBp0iRkZGSgS5cu2LdvH5ydndUOh4iIqNbU5ytlqp5QiEpkV5IkQa/XQ6/Xq/3yREREZAa8lwcREZFa6vGQB29fTkREpBLJqHypCr1eD0mSTJaSsymB2r13FhMKIiIiC9a2bVukpaXJy8mTJ+XnavPeWRzyICIiUosZhjxsbGxMqhL/v6mq3ztLCVYoiIiI1KLSdSiys7NNljtvkHm3s2fPQqfTwd/fH08//TT++OMPABXfO0ttTCiIiIjqGF9fX7i6uspLVFRUmf26dOmC9evXY+/evfjkk09gMBgQHByM69evV+veWUpwyIOIiEglat3LIzU1FS4uLnJ7efez6tevn/z/oKAgdOvWDc2bN8e6devQtWvX29uswr2zlGCFgoiISC0lcyiULABcXFxMlsreINPJyQlBQUE4e/Zsrd87iwkFERHRfSI/Px+nT5+Gj49Prd87i0MeREREahEAqngtiVLrV8GMGTMwYMAANGnSBOnp6XjrrbeQnZ2NMWPG1Pq9s5hQEBERqUStORSVdenSJYwYMQLXrl1Dw4YN0bVrVxw9ehR+fn4AavfeWUwoShz9xdwREBGRpRNQeB2KqnXfvHnzPZ+vzXtncQ4FERERKcYKBRERkVrq8c3BmFAQERGpxQhAySUelEzoNDMOeRAREZFirFAQERGppLbP8qhLmFAQERGppR7PoeCQBxERESnGCgUREZFa6nGFggkFERGRWupxQsEhDyIiIlKMFQoiIiK11OPrUDChICIiUglPGyUiIiLlOIeCiIiIqPpYoSAiIlKLUQCSgiqD0XIrFEwoiIiI1MIhDyIiIqLqY4WCiIhINQorFLDcCgUTCiIiIrVwyIOIiIio+lihICIiUotRQNGwBc/yICIiIgjj7UXJ+haKQx5ERESkGCsUREREaqnHkzKZUBAREamFcyiIiIhIsXpcoeAcCiIiIlKMFQoiIiK1CCisUKgWSa1jQkFERKQWDnkQERERVR8rFERERGoxGgEouDiV0XIvbMWEgoiISC0c8iAiIiKqPlYoiIiI1FKPKxRMKIiIiNRSj6+UySEPIiIiUowVCiIiIpUIYYRQcAtyJeuaGxMKIiIitQihbNiCcyiIiIjodkJQPxMKzqEgIiIixVihICIiUovRCEgK5kFwDgURERFxyIOIiIhIAVYoiIiIVCKMRggFQx48bZSIiIg45EFERESkBCsUREREajEKQKqfFQomFERERGoRAoCS00YtN6HgkAcREREpxgoFERGRSoRRQCgY8hCsUFTPRx99BH9/f9jb26Njx4748ccfzRkOERGRMsKofKmGuvB9araEYsuWLYiIiMDcuXNx/PhxPPbYY+jXrx8uXrxorpCIiIgUEUaheKmquvJ9araEYvHixRg3bhyef/55tGnTBkuXLoWvry9WrFhhrpCIiIgsTl35PjXLHIqCggIkJibitddeM2kPDw9HXFxcqf75+fnIz8+XH2dlZQEAilCo6PohRER0/ytCIYDamZ9QJPIV3eCrJNbs7GyTdo1GA41GU6p/Vb9Pa5JZEopr166huLgY3t7eJu3e3t4wGAyl+kdFRWHBggWl2o9gd43FSERE95fr16/D1dW1RrZtZ2cHrVaLIwbl30sNGjSAr6+vSdv8+fOh1+tL9a3q92lNMutZHpIkmTwWQpRqA4DZs2dj2rRp8uPMzEz4+fnh4sWLNfbhqA3Z2dnw9fVFamoqXFxczB1Otd0P+3E/7ANwf+zH/bAPAPejLsnKykKTJk3g7u5eY69hb2+PlJQUFBQUKN5WWd+FZVUn7lTZ79OaZJaEwtPTE9bW1qWyp/T09FJZFlB+qcfV1dViP+B3cnFx4X7UEffDPgD3x37cD/sAcD/qEiurmp02aG9vD3t7+xp9jbtV9fu0JpllUqadnR06duyImJgYk/aYmBgEBwebIyQiIiKLU5e+T8025DFt2jQ888wz6NSpE7p164ZVq1bh4sWLmDhxorlCIiIisjh15fvUbAnF8OHDcf36dSxcuBBpaWkIDAzE7t274efnV+G6Go0G8+fPr3BMqa7jftQd98M+APfHftwP+wBwP+qS+2Ef7kXJ96maJGHJ1/kkIiKiOoE3ByMiIiLFmFAQERGRYkwoiIiISDEmFERERKQYEwoiIiJSzCITirpw3/fKioqKQufOneHs7AwvLy8MHjwYycnJJn3Gjh0LSZJMlq5du5op4rLp9fpSMWq1Wvl5IQT0ej10Oh0cHBwQGhqKpKQkM0ZcWtOmTUvtgyRJmDx5MoC6exwOHz6MAQMGQKfTQZIkbN++3eT5yrz3+fn5mDp1Kjw9PeHk5ISBAwfi0qVLtbgX996PwsJCzJo1C0FBQXBycoJOp8Ozzz6Ly5cvm2wjNDS01DF6+umn68Q+AJX7DNX1YwGgzJ8TSZLw3nvvyX3MfSwq87vVUn427hcWl1DUlfu+V1ZsbCwmT56Mo0ePIiYmBkVFRQgPD8eNGzdM+j3++ONIS0uTl927696Nz9q2bWsS48mTJ+XnFi1ahMWLF2P58uVISEiAVqtFWFgYcnJyzBixqYSEBJP4S64s99RTT8l96uJxuHHjBtq3b4/ly5eX+Xxl3vuIiAhs27YNmzdvxpEjR5Cbm4v+/fujuLi4tnbjnvtx8+ZNHDt2DPPmzcOxY8ewdetWnDlzBgMHDizVd/z48SbH6OOPP66N8AFUfCyAij9Ddf1YADCJPy0tDZ999hkkScI//vEPk37mPBaV+d1qKT8b9w1hYR555BExceJEk7bWrVuL1157zUwRVU16eroAIGJjY+W2MWPGiEGDBpkvqEqYP3++aN++fZnPGY1GodVqxTvvvCO33bp1S7i6uoqVK1fWUoRV9/LLL4vmzZsLo9EohLCM4wBAbNu2TX5cmfc+MzNT2Nrais2bN8t9/vzzT2FlZSX27NlTa7Hf6e79KMtPP/0kAIgLFy7IbSEhIeLll1+u2eAqqax9qOgzZKnHYtCgQaJXr14mbXXpWAhR+nerpf5sWDKLqlCU3Pc9PDzcpN0c932vrqysLAAodde7Q4cOwcvLCy1btsT48eORnp5ujvDu6ezZs9DpdPD398fTTz+NP/74AwCQkpICg8Fgclw0Gg1CQkLq7HEpKCjAxo0b8dxzz5nckc8SjsOdKvPeJyYmorCw0KSPTqdDYGBgnT0+wO2fFUmS8MADD5i0f/755/D09ETbtm0xY8aMOlUFA+79GbLEY3HlyhXs2rUL48aNK/VcXToWd/9uvZ9/Nuoqs96+vKrq0n3fq0MIgWnTpqF79+4IDAyU2/v164ennnoKfn5+SElJwbx589CrVy8kJibWmUvFdunSBevXr0fLli1x5coVvPXWWwgODkZSUpL83pd1XC5cuGCOcCu0fft2ZGZmYuzYsXKbJRyHu1XmvTcYDLCzs4Obm1upPnX15+bWrVt47bXXMHLkSJM7XI4aNQr+/v7QarU4deoUZs+ejV9++aXUjZHMpaLPkCUei3Xr1sHZ2RlDhw41aa9Lx6Ks3633689GXWZRCUWJunDf9+qYMmUKfv31Vxw5csSkffjw4fL/AwMD0alTJ/j5+WHXrl2lfojNpV+/fvL/g4KC0K1bNzRv3hzr1q2TJ51Z0nFZvXo1+vXrB51OJ7dZwnEoT3Xe+7p6fAoLC/H000/DaDTio48+Mnlu/Pjx8v8DAwMREBCATp064dixY3j44YdrO9RSqvsZqqvHAgA+++wzjBo1qtRtuevSsSjvdytwf/1s1HUWNeRRl+77XlVTp07Fzp07cfDgQTRu3PiefX18fODn54ezZ8/WUnRV5+TkhKCgIJw9e1Y+28NSjsuFCxewf/9+PP/88/fsZwnHoTLvvVarRUFBATIyMsrtU1cUFhZi2LBhSElJQUxMjEl1oiwPP/wwbG1t6+wxuvszZEnHAgB+/PFHJCcnV/izApjvWJT3u/V++9mwBBaVUNSl+75XlhACU6ZMwdatW3HgwAH4+/tXuM7169eRmpoKHx+fWoiwevLz83H69Gn4+PjIZc87j0tBQQFiY2Pr5HFZs2YNvLy88OSTT96znyUch8q89x07doStra1Jn7S0NJw6dapOHZ+SZOLs2bPYv38/PDw8KlwnKSkJhYWFdfYY3f0ZspRjUWL16tXo2LEj2rdvX2Hf2j4WFf1uvZ9+NiyGmSaDVtvmzZuFra2tWL16tfjtt99ERESEcHJyEufPnzd3aGV68cUXhaurqzh06JBIS0uTl5s3bwohhMjJyRHTp08XcXFxIiUlRRw8eFB069ZNNGrUSGRnZ5s5+v83ffp0cejQIfHHH3+Io0ePiv79+wtnZ2f5fX/nnXeEq6ur2Lp1qzh58qQYMWKE8PHxqVP7IIQQxcXFokmTJmLWrFkm7XX5OOTk5Ijjx4+L48ePCwBi8eLF4vjx4/LZD5V57ydOnCgaN24s9u/fL44dOyZ69eol2rdvL4qKiurEfhQWFoqBAweKxo0bixMnTpj8rOTn5wshhDh37pxYsGCBSEhIECkpKWLXrl2idevW4qGHHqq1/bjXPlT2M1TXj0WJrKws4ejoKFasWFFq/bpwLCr63SqE5fxs3C8sLqEQQogPP/xQ+Pn5CTs7O/Hwww+bnIJZ1wAoc1mzZo0QQoibN2+K8PBw0bBhQ2FrayuaNGkixowZIy5evGjewO8yfPhw4ePjI2xtbYVOpxNDhw4VSUlJ8vNGo1HMnz9faLVaodFoRI8ePcTJkyfNGHHZ9u7dKwCI5ORkk/a6fBwOHjxY5mdozJgxQojKvfd5eXliypQpwt3dXTg4OIj+/fvX+r7daz9SUlLK/Vk5ePCgEEKIixcvih49egh3d3dhZ2cnmjdvLl566SVx/fr1OrEPlf0M1fVjUeLjjz8WDg4OIjMzs9T6deFYVPS7VQjL+dm4X0hCCFFDxQ8iIiKqJyxqDgURERHVTUwoiIiISDEmFERERKQYEwoiIiJSjAkFERERKcaEgoiIiBRjQkFERESKMaEgIiIixZhQEBERkWJMKIiIiEgxJhRERESk2P8BDyaOB2oXbM8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [\n",
    "    50,\n",
    "]\n",
    "position_threshold = \"weighted_diff\"\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_iris,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=position_threshold,\n",
    ")\n",
    "plt.pcolormesh(input_field_arr[0])\n",
    "plt.colorbar()\n",
    "# Plot all features detected\n",
    "plt.scatter(\n",
    "    x=single_threshold_features[\"hdim_2\"].values,\n",
    "    y=single_threshold_features[\"hdim_1\"].values,\n",
    "    color=\"r\",\n",
    "    label=\"Detected Features\",\n",
    ")\n",
    "plt.legend()\n",
    "plt.title(\"position_threshold \" + position_threshold)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### `position_threshold='weighted_abs'`\n",
    "This option will choose the center of the region weighted by the absolute values of the field."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-18T16:35:43.900271Z",
     "iopub.status.busy": "2024-12-18T16:35:43.900170Z",
     "iopub.status.idle": "2024-12-18T16:35:43.987028Z",
     "shell.execute_reply": "2024-12-18T16:35:43.986724Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [\n",
    "    50,\n",
    "]\n",
    "position_threshold = \"weighted_abs\"\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_iris,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=position_threshold,\n",
    ")\n",
    "plt.pcolormesh(input_field_arr[0])\n",
    "plt.colorbar()\n",
    "# Plot all features detected\n",
    "plt.scatter(\n",
    "    x=single_threshold_features[\"hdim_2\"].values,\n",
    "    y=single_threshold_features[\"hdim_1\"].values,\n",
    "    color=\"r\",\n",
    "    label=\"Detected Features\",\n",
    ")\n",
    "plt.legend()\n",
    "plt.title(\"position_threshold \" + position_threshold)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### All four methods together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-18T16:35:43.988492Z",
     "iopub.status.busy": "2024-12-18T16:35:43.988396Z",
     "iopub.status.idle": "2024-12-18T16:35:44.417559Z",
     "shell.execute_reply": "2024-12-18T16:35:44.417285Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [\n",
    "    50,\n",
    "]\n",
    "fig, axarr = plt.subplots(2, 2, figsize=(10, 6))\n",
    "testing_thresholds = [\"center\", \"extreme\", \"weighted_diff\", \"weighted_abs\"]\n",
    "for position_threshold, ax in zip(testing_thresholds, axarr.flatten()):\n",
    "    single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "        field_in=input_field_iris,\n",
    "        dxy=1000,\n",
    "        threshold=thresholds,\n",
    "        target=\"maximum\",\n",
    "        position_threshold=position_threshold,\n",
    "    )\n",
    "    color_mesh = ax.pcolormesh(input_field_arr[0])\n",
    "    plt.colorbar(color_mesh, ax=ax)\n",
    "    # Plot all features detected\n",
    "    ax.scatter(\n",
    "        x=single_threshold_features[\"hdim_2\"].values,\n",
    "        y=single_threshold_features[\"hdim_1\"].values,\n",
    "        color=\"r\",\n",
    "        label=\"Detected Features\",\n",
    "    )\n",
    "    ax.legend()\n",
    "    ax.set_title(\"position_threshold \" + position_threshold)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}