{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How multiple thresholds changes the features detected"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*tobac* allows for multiple thresholds to be input to refine feature detection. This simple example shows the implications of using different feature detection values. More complex examples can be found in the example gallery."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-18T15:03:05.045142Z",
     "iopub.status.busy": "2025-12-18T15:03:05.045005Z",
     "iopub.status.idle": "2025-12-18T15:03:07.075741Z",
     "shell.execute_reply": "2025-12-18T15:03:07.075416Z"
    }
   },
   "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": "2025-12-18T15:03:07.077679Z",
     "iopub.status.busy": "2025-12-18T15:03:07.077440Z",
     "iopub.status.idle": "2025-12-18T15:03:07.160389Z",
     "shell.execute_reply": "2025-12-18T15:03:07.160056Z"
    }
   },
   "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": "markdown",
   "metadata": {},
   "source": [
    "We now need to generate an xarray DataArray out of this dataset to run tobac feature detection. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-18T15:03:07.180766Z",
     "iopub.status.busy": "2025-12-18T15:03:07.180610Z",
     "iopub.status.idle": "2025-12-18T15:03:07.227313Z",
     "shell.execute_reply": "2025-12-18T15:03:07.226969Z"
    }
   },
   "outputs": [],
   "source": [
    "input_field_da = xr.DataArray(\n",
    "    input_field_arr,\n",
    "    dims=[\"time\", \"Y\", \"X\"],\n",
    "    coords={\"time\": [np.datetime64(\"2019-01-01T00:00:00\")]},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Single Threshold\n",
    "Let's say that you are looking to detect any features above value 50 and don't need to separate out individual cells within the larger feature. For example, if you're interested in tracking a single mesoscale convective system, you may not care about the paths of individual convective cells within the feature. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-18T15:03:07.229318Z",
     "iopub.status.busy": "2025-12-18T15:03:07.229146Z",
     "iopub.status.idle": "2025-12-18T15:03:07.500247Z",
     "shell.execute_reply": "2025-12-18T15:03:07.499964Z"
    }
   },
   "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",
    "# Using 'center' here outputs the feature location as the arithmetic center of the detected feature\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_da,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=\"center\",\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(\"Single Threshold of 50\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's try a single threshold of 150, which will give us two features on the left side of the image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-18T15:03:07.501743Z",
     "iopub.status.busy": "2025-12-18T15:03:07.501562Z",
     "iopub.status.idle": "2025-12-18T15:03:07.602988Z",
     "shell.execute_reply": "2025-12-18T15:03:07.602678Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [\n",
    "    150,\n",
    "]\n",
    "# Using 'center' here outputs the feature location as the arithmetic center of the detected feature\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_da,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=\"center\",\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(\"Single Threshold of 150\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This gives us two detected features with minimum values >150. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Multiple Thresholds\n",
    "Now let's say that you want to detect all three maxima within this feature. You may want to do this, if, for example, you were trying to detect overhshooting tops within a cirrus shield. You could pick a single threshold, but if you pick 100, you won't separate out the two features on the left. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-18T15:03:07.604425Z",
     "iopub.status.busy": "2025-12-18T15:03:07.604315Z",
     "iopub.status.idle": "2025-12-18T15:03:07.707368Z",
     "shell.execute_reply": "2025-12-18T15:03:07.707079Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhQAAAGxCAYAAAA6Qy8lAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQAASb9JREFUeJzt3XtcVGX+B/DPcBsuAgkIwyQiGmoJuqaGoAVewPAepZaWsrkt5qVIXS9ZCa1BUamlqdmamma223r9WSamYi5aiJeEDHVDRWUkFbmJ3Ob5/WGcbQRk4BwYxvm8X6/z0nnOc848hzPD+fJ9nnMelRBCgIiIiEgGK1M3gIiIiMwfAwoiIiKSjQEFERERycaAgoiIiGRjQEFERESyMaAgIiIi2RhQEBERkWwMKIiIiEg2BhREREQkGwMKUtQPP/yAJ554Au3atYNarYaXlxeCg4Mxc+ZMg3phYWEICwtr8vaoVCrExcXJ3s/atWuhUqnqXdq3bw8AiI6ORqtWrWS/r1Kaoj3t27dHdHR0vfX2798PlUqF/fv3K/be3333HXr16gUnJyeoVCps3bq1zrpLlixBVFQU/Pz8oFKp7vq5y8vLQ3R0NDw8PODo6Ijg4GB89913tdbds2cPgoOD4ejoCA8PD0RHRyMvL0/mkRGZLxtTN4DuHTt37sSIESMQFhaGpKQkeHt7Izc3F0eOHMGmTZvw/vvvS3WXL19uwpY23NChQ3Ho0CGDsuDgYDz11FMGwZJarW7uplkcIQTGjBmDTp06Yfv27XByckLnzp3rrL9y5Uo4OTlhwIAB2LFjR531ysrKMHDgQNy4cQMffPABPD098dFHH+Hxxx/Hnj17EBoaKtVNSUlBZGQkhg4dim3btiEvLw9z5szBwIEDceTIEX4OyCIxoCDFJCUlwc/PD99++y1sbP730Xr66aeRlJRkUPehhx5q7ubJ0qZNG7Rp06ZGuZeXF/r06aPoe1VVVaGyspIXpTpcvnwZ169fxxNPPIGBAwfWW//nn3+GldXtZGxAQECd9VavXo2MjAykpqYiODgYANC/f390794ds2fPxg8//CDV/dvf/oZOnTrhq6++kj7rfn5+6Nu3Lz799FO8+OKLcg6RyCyxy4MUc+3aNXh4eBgEE9Wqf6FXu7PL49y5c1CpVHjvvfewaNEi+Pn5oVWrVggODsbhw4dr7O+TTz5Bp06doFar8dBDD2Hjxo2Ijo6WuhzuRqfTISYmBm3btoWdnR38/PwQHx+PysrKBh9zfc6ePYshQ4agVatW8PHxwcyZM1FWViatrz7upKQkLFy4EH5+flCr1di3bx8A4MiRIxgxYgTc3Nxgb2+PHj164J///KfBe9y8eROzZs2Cn58f7O3t4ebmhl69euGLL75ocHsA4Pr165gyZQruv/9+2NnZoUOHDpg/f36NerX55Zdf8Pjjj0vdAJMnT0ZRUZHRP6+DBw9i4MCBcHZ2hqOjI0JCQrBz505pfVxcHNq2bQsAmDNnjkE3U13u/OzVZcuWLejcubMUTACAjY0Nnn32Wfz444+4dOkSAODSpUtIS0vDc889Z/BZDwkJQadOnbBlyxZjD5fonsIMBSkmODgY//jHP/DSSy9h/PjxePjhh2Fra9ugfXz00Ufo0qULlixZAgB4/fXXMWTIEGRnZ8PV1RUAsGrVKsTExODJJ5/E4sWLUVBQgPj4eKMueDqdDo888gisrKzwxhtvoGPHjjh06BAWLlyIc+fOYc2aNQ0+7rpUVFRgxIgRmDRpEmbOnIkDBw7g73//O1xdXfHGG28Y1P3www/RqVMnvPfee3BxcYG/vz/27duHxx9/HEFBQVi5ciVcXV2xadMmjB07Fjdv3pTGL8yYMQPr16/HwoUL0aNHD5SUlCAjIwPXrl1rcHtu3bqF/v3747///S/i4+PRrVs3fP/990hMTMTx48cNLu53unLlCkJDQ2Fra4vly5fDy8sLn3/+OaZNm2bUzyslJQXh4eHo1q0bVq9eDbVajeXLl2P48OH44osvMHbsWPzlL39B9+7dERUVhenTp2PcuHGKZXIyMjLw6KOP1ijv1q0bACAzMxP3338/MjIyDMrvrPuf//xHkfYQmR1BpJCrV6+Kfv36CQACgLC1tRUhISEiMTFRFBUVGdQNDQ0VoaGh0uvs7GwBQAQGBorKykqp/McffxQAxBdffCGEEKKqqkpoNBoRFBRksL/z588LW1tb4evra1AOQCxYsEB6HRMTI1q1aiXOnz9vUO+9994TAERmZqbRxwtATJ06tdZ1EydOFADEP//5T4PyIUOGiM6dO9c47o4dO4ry8nKDul26dBE9evQQFRUVBuXDhg0T3t7eoqqqSgghREBAgBg1atRd22pse1auXFlrvXfeeUcAELt375bKfH19xcSJE6XXc+bMESqVShw/ftxg2/DwcAFA7Nu3765t7NOnj/D09DT4rFRWVoqAgADRtm1bodfrhRD/+5m9++67d91fbbp27WrwufsjW1tbERMTU6M8NTVVABAbN24UQgjx+eefCwDi0KFDNer+9a9/FXZ2dg1uF9G9gF0epBh3d3d8//33SEtLw9tvv42RI0fi9OnTmDdvHgIDA3H16tV69zF06FBYW1tLr6v/Cjx//jwAICsrCzqdDmPGjDHYrl27dujbt2+9+/+///s/9O/fH1qtFpWVldISGRkJ4PZfyUpRqVQYPny4QVm3bt2kY/mjESNGGGRzzp49i19++QXjx48HAIO2DhkyBLm5ucjKygIAPPLII/jmm28wd+5c7N+/H6WlpY1uz969e+Hk5ISnnnrKoF51NqSuOx4AYN++fejatSu6d+9uUD5u3Lg6t6lWUlKCH374AU899ZTB3SjW1tZ47rnncPHiRel4m5JKpTJ6XV1177YPonsZAwpSXK9evTBnzhz861//wuXLl/HKK6/g3LlzNQZm1sbd3d3gdXU6u/oiWZ3G9/LyqrFtbWV3unLlCnbs2AFbW1uDpWvXrgBgVNBjLEdHR9jb2xuUqdVq3Lp1q0Zdb2/vGu0EgFmzZtVo65QpUwza+uGHH2LOnDnYunUr+vfvDzc3N4waNQpnzpxpcHuuXbsGjUZT46Lo6ekJGxubGt0of1S97Z1qK7tTfn4+hBA1fg4AoNVqpf03JXd391rf4/r16wAANzc3qV5d7bl+/bpUj8jScAwFNSlbW1ssWLAAixcvlvqe5aj+ZV59wf0jnU5X7/YeHh7o1q0b3nrrrVrXV1+8mtudF3APDw8AwLx58xAVFVXrNtW3Sjo5OSE+Ph7x8fG4cuWKlK0YPnw4fvnllwa1w93dHT/88AOEEAZtysvLQ2VlpdSuurat7RwYc15at24NKysr5Obm1lh3+fJlALjreyshMDAQJ0+erFFeXVZ9h0j1vydPnsSQIUNq1L3bnSRE9zJmKEgxtV0MAODUqVMAlLlYd+7cGRqNpsadDhcuXEBqamq92w8bNgwZGRno2LEjevXqVWMxVUBxp86dO8Pf3x8nTpyotZ29evWCs7Nzje28vLwQHR2NZ555BllZWbh582aD3nfgwIEoLi6u8aCozz77TFpfl/79+yMzMxMnTpwwKN+4cWO97+vk5ISgoCBs3rzZoMtGr9djw4YNaNu2LTp16tSAI2m4J554Ar/88ovB7aGVlZXYsGEDgoKCpM/G/fffj0ceeQQbNmxAVVWVVPfw4cPIysqqMwAkutcxQ0GKGTx4MNq2bYvhw4ejS5cu0Ov1OH78ON5//320atUKL7/8suz3sLKyQnx8PGJiYvDUU0/h+eefx40bNxAfHw9vb+96bxF88803kZycjJCQELz00kvo3Lkzbt26hXPnzuHrr7/GypUrpdsSTe3jjz9GZGQkBg8ejOjoaNx///24fv06Tp06haNHj+Jf//oXACAoKAjDhg1Dt27d0Lp1a5w6dQrr16+XnuLYEBMmTMBHH32EiRMn4ty5cwgMDMTBgweRkJCAIUOGYNCgQXVuGxsbi08//RRDhw7FwoULpbs8jM2SJCYmIjw8HP3798esWbNgZ2eH5cuXIyMjA1988UWjxyYcOXIE586dAwAUFhZCCIGvvvoKANC7d2/4+voCAJ5//nl89NFHGD16NN5++214enpi+fLlyMrKwp49ewz2+c477yA8PByjR4/GlClTkJeXh7lz5yIgIAB//vOfG9VOIrNn4kGhdA/58ssvxbhx44S/v79o1aqVsLW1Fe3atRPPPfec+Pnnnw3q1nWXR20j93HHnRpCCLFq1SrxwAMPCDs7O9GpUyfx6aefipEjR4oePXrUu+1vv/0mXnrpJeHn5ydsbW2Fm5ub6Nmzp5g/f74oLi42+nhRz10eTk5ONcoXLFgg/vi1q++OhRMnTogxY8YIT09PYWtrKzQajRgwYIBYuXKlVGfu3LmiV69eonXr1kKtVosOHTqIV155RVy9erXB7RFCiGvXronJkycLb29vYWNjI3x9fcW8efPErVu3DOrdeZeHEEL8/PPPIjw8XNjb2ws3NzcxadIksW3bNqPu8hBCiO+//14MGDBAODk5CQcHB9GnTx+xY8cOgzoNvcuj+g6X2pY1a9YY1NXpdGLChAnCzc1N2Nvbiz59+ojk5ORa97t7927Rp08f6VgnTJggrly5YlSbiO5FKiGEMEEcQ6SoGzduoFOnThg1ahRWrVpl6uYQEVkcdnmQ2dHpdHjrrbfQv39/uLu74/z581i8eDGKiooU6VYhIqKGY0BBZketVuPcuXOYMmUKrl+/DkdHR/Tp0wcrV66Ubv8kIqLmxS4PIiIikq3Bt40eOHAAw4cPh1arhUqlqnF7mRACcXFx0Gq1cHBwQFhYGDIzMw3qlJWVYfr06fDw8ICTkxNGjBiBixcvyjoQIiIiS7NixQp069YNLi4ucHFxQXBwML755htpfXNekxscUJSUlKB79+5YtmxZreuTkpKwaNEiLFu2DGlpadBoNAgPDzeYcTA2NhZbtmzBpk2bcPDgQRQXF2PYsGEG93QTERHR3bVt2xZvv/02jhw5giNHjmDAgAEYOXKkFDQ06zVZzi0iAMSWLVuk13q9Xmg0GvH2229LZbdu3RKurq7SbW43btwQtra2YtOmTVKdS5cuCSsrK7Fr1y45zSEiIrJ4rVu3Fv/4xz+a/Zqs6KDM7Oxs6HQ6RERESGVqtRqhoaFITU1FTEwM0tPTUVFRYVBHq9UiICAAqampGDx4cI39lpWVGUxNrdfrcf36dbi7u3MiHiIiuishBIqKiqDVaut9+J0ct27dQnl5uez9iDsefQ/cvpZWz21Ul6qqKvzrX/9CSUkJgoODm+yaXBdFA4rqZ/bfOUmTl5eXNKOhTqeDnZ0dWrduXaNOXc/8T0xMRHx8vJJNJSIiC5OTk9NkT8K9desW/HxbQZcnv+u+VatWKC4uNihbsGAB4uLiaq1/8uRJBAcH49atW2jVqhW2bNmChx56SJqOQOlrcl2a5LbROyOr2qKtO92tzrx58zBjxgzpdUFBAdq1a4d+GAIb2Na6DREREQBUogIH8XWt898opby8HLq8KmSn+8LFufFZkMIiPfx6nkdOTg5cXFyk8rtlJzp37ozjx4/jxo0b+Pe//42JEyciJSVFWq/0NbkuigYU1dMU63Q6g2mI8/LypAhJo9GgvLwc+fn5BhFRXl4eQkJCat1vXakeG9jCRsWAgoiI7uL3hyM0Rxe5i7OVrIBC2s/vd20Yw87ODg888AAAoFevXkhLS8MHH3yAOXPmAFD+mlwXRTuT/Pz8oNFokJycLJWVl5cjJSVFaljPnj1ha2trUCc3NxcZGRkNbjwREVFLUiX0she5hBAoKytr9mtygzMUxcXFOHv2rPQ6Ozsbx48fh5ubG9q1a4fY2FgkJCTA398f/v7+SEhIgKOjI8aNGwcAcHV1xaRJkzBz5ky4u7vDzc0Ns2bNQmBg4F1nMiQiImrp9BDQo/HPi2zotq+++ioiIyPh4+ODoqIibNq0Cfv378euXbugUqma9Zrc4IDiyJEj6N+/v/S6emzDxIkTsXbtWsyePRulpaWYMmUK8vPzERQUhN27dxv0XS1evBg2NjYYM2YMSktLMXDgQKxduxbW1tYNbQ4REVGLoYcecnIMDd36ypUreO6555CbmwtXV1d069YNu3btQnh4OAA06zXZLB+9XVhYCFdXV4RhJMdQEClEpQIc73OEg7Oat2OT2RBCoLSoDDdv3ERdV7NKUYH92IaCggKjxyU0VPV16XJWW9mDMrWdLzZpW5sKJwcjIri0aYWIyY/hgd7tb/9VwniCzIW4/fyFs2nnsHvlART+Vlz/Nk2oSghUyfg7Xc62psaAgsjCWdtYYcJ7T0Hr5wUn+1ZQKTtWm6jJCejhEu4MzQOeWDHpM1RVyh/Y2FjNPYaiJWFAQWTh7vN2hYtHK7Syd4Y1fyWQWbJGK3tnuHiU4D6NC65dvGHqBlkk/vYgsnBWVqrfx0ywn4PM2e3PsZW1aTNseghUMUNBREREclhylwc7S4mIiEg2BhRERGZiwIhQrN24xtTNoLuovstDzmKuGFAQkdmaGzcbnXs/gM69H0DXPl0QMjgIf546EV9t/xf0+oaN9F+66gOMHDdc8TY2ZxCwdNUH0s/jj0vqD/9RZP8/pB9G594PoLCoUJH93Yv0CizmimMoiEg5VVVwOJ4Gm6u/odKjDUr/1Bto4ifgPhr8GBLfeAd6fRWuXr+K7w8dwFvvL8S33+3Civc/ho2NZf2a8+/gjzUffWZQ5urqaqLW1K2isgK2Nnww4b2EGQoiUkSrvd/Cb0QofCY/C+/XXoHP5GfhNyIUrfZ+26Tva2dnhzYebeDlqUHXLgGY/OcpWP7eShxITcGW//u3VK+ouAivvzUfwRGP4OGw7pjw4rP45fQpAMDmHf/Gsk+W4pczp6S/6jfv+He921X7LmUPoiaMQmDfhxA0qDem/W0KAOC5mHG4lHsJiYvfkvZb7eiJoxj/12fQrV9XhA7th4XvvYmbpTel9deuX8PkV15At35dMWBkGLZ/s82on4e1tQ3aeLQxWOxs7Yx6z21fb0XUhFHoEdodfQf3wczXXsG169cAABcvX8SEyc8CAHoPeBidez+AuXGzAdSehRk5bjiWrvpAet259wP44t8b8eLMGPzp0UCsWP0RAGDvge8Q9dxIBPZ9CANH9seyTz5EZWWltN3SVR8gbNijCAh5EP0iQ7DwvTeN+jmYStXvd3nIWcwVAwoikq3V3m/hPWcabPJ0BuU2eVfgPWdakwcVdwruHYwu/g9i977dAG4/nvmvsX/Bb9d+w6olq7H5s23o2rkrJk6ZgBsFNzAkfCieHz8J/h38cfCbQzj4zSEMCR9a73YAsP/gPkyfMxVhfcOwdcN2rFv+GQIeCgAALE1aDo2nBi/FxEr7BYCss1mY9NKfER4Wge0bd2JxwodIP34Ef0+Kl45hbvxsXMq9hHXL1+PDt5dh41efSxf3xjDmPSsqK/ByzCvY/vkOfPTeCly8nIO58beDBm8vbyx953YQsOurZBz85hDmz3q9QW1YuuoDDAwdhB1f7MSTI0bj+0MH8Lc3ZuK5sRPx9Ze78Oarf8fm/9uMlWuW336f777B2o1rED9vIXZv/g7L31uBTh07Nfpn0ByqhPzFXFlWLpCIlFdVhTbv/x2AqPEkCxUEBFRos2ghikMHNXn3xx91aN8BWWd/AQAcPnIYp89m4dDuH2BnpwYAzImdhz0pyfj2u10YG/U0HB0dpb/uqx1KO1Tvdis/XY4h4UPxUkystF2XTg8CAO5zvQ/W1tZwcnQy2O/q9Z9g+ODhiB73ZwBA+3btMX/WG3guZhzi5r6Jy7rLOJCagn+u+QrdA/4EAHjr9UQMGT243uM+/d8s9Hism/S6o98D+Grd5nrfU61W46kRo6XtfNq2w/yZb2B0dBRKbpbAydFJ6jpxd3OHi3PD55kYNni4wXvMXjALf50YgyeGRUnv+XJMLN5dmoRpL7yEXN1leLi3QUhQCGxtbKHVaNGta/cGv29zkjsOgmMoiMhiORxPg+0dmYk/UkHA9kouHI6nobRnn2ZrlxACqt9DnMxfMnCz9CaCBvU2qHOr7BYuXLpQ5z6M2e7U6VMYPWpsg9qWeSoD5y+ex45d2w3aq9frcfFyDrIvZMPG2gYBDwZK6zu272jURdzP1w8r3v9Yel3d3VHfe3b0ewA/Z2Vi6aoP8cvpU7hRWADx+8DWXN1lPNDBv0HHWJs/Hk91m07+/BNWrlkhlVXpq1BWVobSW6V4fGAk1n2xFoNG9sejwY8htG8Y+j86wOLGxZgLnhUiksXm6m+K1lPKf8/9F23v9wEA6PV6tPFog/UrP69Rz/kuF2ljtrO3t29w2/RC4OmoZ/Dc2Ak11nlrtMg+nw0AjZr11dbGDr4+7Rv8njdLb+L5adHoG/Qo3n3zfbRu7YZc3WVMmv5nVFRU3PU9VSor4I6+/8rKmts4Ojje0SY9pv/1ZUT0j6hRV22nhrdGi11fJeM/PxzEobRUxL+zAKvXf4L1qza22AGdeqhQJeOps3ozfmItAwoikqXyD6l8JeopobqrIvqZ2+n9rl264uq1q7C2tkFbbdtat7G1tYVeX2VQZsx2nR7ojENpqXhyxFNG7/ehzl1x5r9nar3wA0CH9h1RWVWJjFMnpRT/r+d+lXW7Zn3vefrsaeTfyMesabPgrdECADJ+Pml4LDa3sx1VVYbH49baDXl/CBiLi4tw8fJFo9qUff7XOtsE3A7YBoYOwsDQQRj31LOIHB2B02ez0LVLQL37NwW9uL3I2d5ccVAmEclS+qfeqPDU1DKC4jYBFSq8vG/fQtoEysvL8dvV33AlT4fMXzKwcs1yTJk1Gf379ceooU8AAEIe6Ys/BfbA1Fkv4vtDB3Dx8kUcPXEUi1cswsnfL5r3e7fFxcsXcSrrZ1y/cR3l5WVGbTfthenYufv/8OHHS/Df7LPIOpuFTz5bJbXvfu/7kXYsDVfydLh+4zoA4IWJf8Xxk8cQ/84CnMr6GecunMN3KXvw93dvD5Ds0L4DHg1+DK+9NR8nMo4j41QGXnvrVdirG54NqVbfe2o13rC1tcX6f65HzsUL+C5lD5b/fifG/45FC5VKhf0H9+F6/jWU3CwBAPTp1Qfbv96KI8fScPrsacyJnw0rI8bLTP3LNGzbuRVLV32AM/89jf9mn8XXu3di8YpFAG7fffOvbf/E6bOnkXPxArZ9sxX2antoNfc3+udATYcZCiKSx9oav818Hd5zpuH2qIX//YlVHWT8NuO1JhuQ+f2hA+gXGQwbaxu4uLigi/+DeG3m63hiWBSsrG7/zaRSqbBqyT+wZMUivPr3ecjPvw4Pdw/06tEbHm7uAIDBAwYjed+3mPDisygsKkTiG+8gaviT9W4X1LMPPkhciuWrl2HVuo/RyqkVevd4RGrfSzGxeCPxdQx6YgDKy8uRlXYWXfy7YP3HG7FkxfsY99dnACHg07YdhoQPkbZLfOMdvPbWq3g2Zhw83Dzw8ouv4MMruY3+OdX3nm6t3fH2giQsWv4+1n+5Dl07d8Wcl+fixZkx0j68PDWY/teX8f6ydzHvzTkYNeQJvB2XhJjoyci5lIOYV16AcytnvDz5FVy8VH+G4tHgx7By8Sp89I9l+Mdnn8DGxgYd2nfE6JG3B266OLtg1bqVeHtxAvR6PTo90AkrF61C6/taN/rn0NSqZHZ5yNnW1FRCmN9zPgsLC+Hq6oowjISNqmX2oxGZiza+bvjrivHw8tDAGo2/6Lfa+y3avP93gwGaFV7e+G3GaygeUP/dCURyVKEKV67qsOrFz/Hb+esG6ypFBfZjGwoKCuDi0vC7U4xRfV1KzfRGK+fGJ/+Li/QI6ZrbpG1tKsxQEJEiigcMRnHooGZ/UiYRtQwMKIhIOdbWzXprKFFLoxcq6IWMuzxkbGtqDCiIiIgUYsljKHiXBxEREcnGDAWRhRNCwAzHZhPV0BI+y1WwQpWMv9Wr6q/SYjGgILJwRddKUFleBT2qZN3lQWRKelShsrwKhVdLTNoOIXMMheAYCiIyV2Ul5UjbcQKPPq2G231usGJQQWZGjypcv3EdaTtOoPxmuUnbYsljKBhQEBH2r0kFAPQe3h02dtaNmkOCyBSEEKgsr0LajhPS55hMgwEFEUEIYN+nqfjPpiNw8XBiQEFmQwiBwqslJs9MVKsSVqgSMsZQmPFwJgYURCQpv1mOqxdaxi9mInOkhwp6GYMy9TDfiIK3jRIREZFszFAQEREphIMyiYiISDb5YyjY5UFEREQWjBkKIiIihdwelCljcjB2eRAREZFe5qO3eZcHERERWTRmKIiIiBRiyYMyGVAQEREpRA8ri32wFQMKIiIihVQJFapkzBgqZ1tT4xgKIiIiko0ZCiIiIoVUybzLo4pdHkRERKQXVtDLGJSpN+NBmezyICIiItmYoSAiIlIIuzyIiIhINj3k3amhV64pzY5dHkRERCQbMxREREQKkf9gK/P9O58BBRERkULkP3rbfAMK8205ERERtRjMUFTr093ULSAiuvcdPmHqFjQpPVTQQ86gTPN99DYDCiIiIoWwy4OIiIhkq34OhZylIRITE9G7d284OzvD09MTo0aNQlZWlkGd6OhoqFQqg6VPnz4GdcrKyjB9+nR4eHjAyckJI0aMwMWLFxvUFgYUREREZiolJQVTp07F4cOHkZycjMrKSkRERKCkpMSg3uOPP47c3Fxp+frrrw3Wx8bGYsuWLdi0aRMOHjyI4uJiDBs2DFVVVUa3hV0eRERECtELFfRyHmzVwG137dpl8HrNmjXw9PREeno6HnvsMalcrVZDo9HUuo+CggKsXr0a69evx6BBgwAAGzZsgI+PD/bs2YPBgwcb1RZmKIiIiBSil9ndUf0cisLCQoOlrKzMqPcvKCgAALi5uRmU79+/H56enujUqRNeeOEF5OXlSevS09NRUVGBiIgIqUyr1SIgIACpqalGHzsDCiIiohbGx8cHrq6u0pKYmFjvNkIIzJgxA/369UNAQIBUHhkZic8//xx79+7F+++/j7S0NAwYMEAKUnQ6Hezs7NC6dWuD/Xl5eUGn0xndZnZ5EBERKUT+9OW3t83JyYGLi4tUrlar69122rRp+Omnn3Dw4EGD8rFjx0r/DwgIQK9eveDr64udO3ciKiqqzv0JIaBSGd8Fw4CCiIhIIVVQoUrGsySqt3VxcTEIKOozffp0bN++HQcOHEDbtm3vWtfb2xu+vr44c+YMAECj0aC8vBz5+fkGWYq8vDyEhIQY3QZ2eRAREZkpIQSmTZuGzZs3Y+/evfDz86t3m2vXriEnJwfe3t4AgJ49e8LW1hbJyclSndzcXGRkZDQooGCGgoiISCFKdXkYa+rUqdi4cSO2bdsGZ2dnacyDq6srHBwcUFxcjLi4ODz55JPw9vbGuXPn8Oqrr8LDwwNPPPGEVHfSpEmYOXMm3N3d4ebmhlmzZiEwMFC668MYDCiIiIgUUgXI7PJomBUrVgAAwsLCDMrXrFmD6OhoWFtb4+TJk/jss89w48YNeHt7o3///vjyyy/h7Ows1V+8eDFsbGwwZswYlJaWYuDAgVi7di2sra2NbgsDCiIiIjMlhLjregcHB3z77bf17sfe3h5Lly7F0qVLG90WBhREREQKae4uj5aEAQUREZFCODmYgiorK/Haa6/Bz88PDg4O6NChA958803o9XqpjhACcXFx0Gq1cHBwQFhYGDIzM5VuChERUbMSv09f3thFmPH05YoHFO+88w5WrlyJZcuW4dSpU0hKSsK7775r0C+TlJSERYsWYdmyZUhLS4NGo0F4eDiKioqUbg4RERE1A8W7PA4dOoSRI0di6NChAID27dvjiy++wJEjRwDczk4sWbIE8+fPl57QtW7dOnh5eWHjxo2IiYlRuklERETNgl0eCurXrx++++47nD59GgBw4sQJHDx4EEOGDAEAZGdnQ6fTGUxColarERoaWuckJGVlZTUmSiEiImppqmcblbOYK8UzFHPmzEFBQQG6dOkCa2trVFVV4a233sIzzzwDANJDN7y8vAy28/Lywvnz52vdZ2JiIuLj45VuapO61t3J1E2gJuJ+osTUTSAianEUz1B8+eWX2LBhAzZu3IijR49i3bp1eO+997Bu3TqDendOOHK3SUjmzZuHgoICacnJyVG62URERLLJmbq8ejFXimco/va3v2Hu3Ll4+umnAQCBgYE4f/48EhMTMXHiRGg0GgC3MxXVzxEHbk9CcmfWopparTZqpjUiIiJTktttYc5dHoqHQjdv3oSVleFura2tpdtG/fz8oNFoDCYhKS8vR0pKSoMmISEiIqKWQ/EMxfDhw/HWW2+hXbt26Nq1K44dO4ZFixbh+eefB3C7qyM2NhYJCQnw9/eHv78/EhIS4OjoiHHjxindHCIiomajhxX0Mv5Wl7OtqSkeUCxduhSvv/46pkyZgry8PGi1WsTExOCNN96Q6syePRulpaWYMmUK8vPzERQUhN27dxtMVEJERGRuqoQKVTK6LeRsa2qKBxTOzs5YsmQJlixZUmcdlUqFuLg4xMXFKf32REREZAKcy4OIiEghljwokwEFERGRQoTM2UaFGT8pkwEFERGRQqqgQpWMCb7kbGtq5hsKERERUYvBDAUREZFC9ELeOAi9ULAxzYwBBRERkUL0MsdQyNnW1My35URERNRiMENBRESkED1U0MsYWClnW1NjQEFERKQQS35SJrs8iIiISDZmKIiIiBRiyYMyGVCQImxG/mbqJshWua2NqZtARGZOD5mP3jbjMRTmGwoRERFRi8EMBRERkUKEzLs8hBlnKBhQEBERKYSzjRIREZFsljwo03xbTkRERC0GMxREREQKYZcHERERyWbJj95mlwcRERHJxgwFERGRQtjlQURERLJZckDBLg8iIiKSjRkKIiIihVhyhoIBBRERkUIsOaBglwcRERHJxgwFERGRQgTkPUtCKNeUZseAgoiISCGW3OXBgIKIiEghlhxQcAwFERERycYMBTWbw3/6yiTv2+f4UyZ5XyKyPJacoWBAQUREpBBLDijY5UFERESyMUNBRESkECFUEDKyDHK2NTUGFERERArRQyXrORRytjU1dnkQERGRbMxQEBERKcSSB2UyoCAiIlKIJY+hYJcHERGRmUpMTETv3r3h7OwMT09PjBo1CllZWQZ1hBCIi4uDVquFg4MDwsLCkJmZaVCnrKwM06dPh4eHB5ycnDBixAhcvHixQW1hQEFERKSQ6i4POUtDpKSkYOrUqTh8+DCSk5NRWVmJiIgIlJSUSHWSkpKwaNEiLFu2DGlpadBoNAgPD0dRUZFUJzY2Flu2bMGmTZtw8OBBFBcXY9iwYaiqqjK6LezyICIiUkhzd3ns2rXL4PWaNWvg6emJ9PR0PPbYYxBCYMmSJZg/fz6ioqIAAOvWrYOXlxc2btyImJgYFBQUYPXq1Vi/fj0GDRoEANiwYQN8fHywZ88eDB482Ki2MENBRESkECEzO1EdUBQWFhosZWVlRr1/QUEBAMDNzQ0AkJ2dDZ1Oh4iICKmOWq1GaGgoUlNTAQDp6emoqKgwqKPVahEQECDVMQYDCiIiohbGx8cHrq6u0pKYmFjvNkIIzJgxA/369UNAQAAAQKfTAQC8vLwM6np5eUnrdDod7Ozs0Lp16zrrGINdHkRERAoRAISQtz0A5OTkwMXFRSpXq9X1bjtt2jT89NNPOHjwYI11KpVhV4oQokZZjbYYUeePmKEgIiJSSPWTMuUsAODi4mKw1BdQTJ8+Hdu3b8e+ffvQtm1bqVyj0QBAjUxDXl6elLXQaDQoLy9Hfn5+nXWMwYCCiIjITAkhMG3aNGzevBl79+6Fn5+fwXo/Pz9oNBokJydLZeXl5UhJSUFISAgAoGfPnrC1tTWok5ubi4yMDKmOMdjlQUREpJDmvstj6tSp2LhxI7Zt2wZnZ2cpE+Hq6goHBweoVCrExsYiISEB/v7+8Pf3R0JCAhwdHTFu3Dip7qRJkzBz5ky4u7vDzc0Ns2bNQmBgoHTXhzEYUBARESlEL1RQNeOjt1esWAEACAsLMyhfs2YNoqOjAQCzZ89GaWkppkyZgvz8fAQFBWH37t1wdnaW6i9evBg2NjYYM2YMSktLMXDgQKxduxbW1tZGt4UBBRERkZkSRowAValUiIuLQ1xcXJ117O3tsXTpUixdurTRbWFAQUREpBAhZN7lIWNbU2NAQUREpBBODkZEREQkAzMURERECrHkDAUDCiIiIoU0910eLQkDCiIiIoVY8qBMjqEgIiIi2ZihICIiUsjtDIWcMRQKNqaZMaAgIiJSiCUPymSXBxEREcnGDAUREZFCxO+LnO3NFQMKIiIihbDLg4iIiEgGZiiIiIiUYsF9Hk2Sobh06RKeffZZuLu7w9HREX/605+Qnp4urRdCIC4uDlqtFg4ODggLC0NmZmZTNIWIiKj5/N7l0dgF7PL4n/z8fPTt2xe2trb45ptv8PPPP+P999/HfffdJ9VJSkrCokWLsGzZMqSlpUGj0SA8PBxFRUVKN4eIiKjZVD8pU85irhTv8njnnXfg4+ODNWvWSGXt27eX/i+EwJIlSzB//nxERUUBANatWwcvLy9s3LgRMTExSjeJiIiImpjiGYrt27ejV69eGD16NDw9PdGjRw988skn0vrs7GzodDpERERIZWq1GqGhoUhNTa11n2VlZSgsLDRYiIiIWho53R1y7xAxNcUzFL/++itWrFiBGTNm4NVXX8WPP/6Il156CWq1GhMmTIBOpwMAeHl5GWzn5eWF8+fP17rPxMRExMfHK91UImqhrnV3MnUTLIL7iRJTN+HeI3cchBkHFIpnKPR6PR5++GEkJCSgR48eiImJwQsvvIAVK1YY1FOpDH9oQogaZdXmzZuHgoICacnJyVG62URERCSD4gGFt7c3HnroIYOyBx98EBcuXAAAaDQaAJAyFdXy8vJqZC2qqdVquLi4GCxEREQtjSUPylQ8oOjbty+ysrIMyk6fPg1fX18AgJ+fHzQaDZKTk6X15eXlSElJQUhIiNLNISIiaj5CgcVMKT6G4pVXXkFISAgSEhIwZswY/Pjjj1i1ahVWrVoF4HZXR2xsLBISEuDv7w9/f38kJCTA0dER48aNU7o5RERE1AwUDyh69+6NLVu2YN68eXjzzTfh5+eHJUuWYPz48VKd2bNno7S0FFOmTEF+fj6CgoKwe/duODs7K90cIiKiZmPJc3k0yaO3hw0bhmHDhtW5XqVSIS4uDnFxcU3x9kRERKZjxt0WcnByMCIiIpKNk4MREREphF0eREREJJ8FzzbKgIKIiEgxqt8XOdubJ46hICIiItmYoSAiIlIKuzyIiIhINgsOKNjlQURERLIxQ0FERKQUC56+nAEFERGRQuTOGMrZRomIiMiiMUNBzabP8adM3QQioqZlwYMyGVAQEREpxYLHULDLg4iIiGRjhoKIiEghKnF7kbO9uWJAQUREpBSOoSAiIiLZOIaCiIiIqPGYoSAiIlIKuzyIiIhINgsOKNjlQURERLIxQ0FERKQUC85QMKAgIiJSCu/yICIiImo8ZiiIiIgUwidlEhERkXwWPIaCXR7UaFZ6PXpeOovBZ47i4Z/Ow6pKb+omETWrP34Hel46Cys9vwPU/A4cOIDhw4dDq9VCpVJh69atBuujo6OhUqkMlj59+hjUKSsrw/Tp0+Hh4QEnJyeMGDECFy9ebFA7mKGgRhnw60+Y9Z8t0JQU3C74Drji4Yz3J4djf9/Opm0cUTOo8R0AoHNyxXt9n8DeDt1M2DKyNCUlJejevTv+/Oc/48knn6y1zuOPP441a9ZIr+3s7AzWx8bGYseOHdi0aRPc3d0xc+ZMDBs2DOnp6bC2tjaqHQwoqMEG/PoTknavrVHe5moR3lm4GXNei2JQQfe0ur4DniUFSNq9FrMjohlUWCgVZI6h+P3fwsJCg3K1Wg21Wl3rNpGRkYiMjLzrftVqNTQaTa3rCgoKsHr1aqxfvx6DBg0CAGzYsAE+Pj7Ys2cPBg8ebFTbGVBQg1jp9Zj1ny23/3/nOgB6ADMW78XevBDordijRvceY74Ds/6zFfvbB/A7YIkUum3Ux8fHoHjBggWIi4tr9G73798PT09P3HfffQgNDcVbb70FT09PAEB6ejoqKioQEREh1ddqtQgICEBqaioDCmoaPXJ/NUjx3skKgKbkBnrk/or0+x9ovoYRNRN+B6g55OTkwMXFRXpdV3bCGJGRkRg9ejR8fX2RnZ2N119/HQMGDEB6ejrUajV0Oh3s7OzQunVrg+28vLyg0+mMfh8GFNQgHjcL66/UgHpE5obfAborhe7ycHFxMQgo5Bg7dqz0/4CAAPTq1Qu+vr7YuXMnoqKi6m6KEFCpjM+2MB9HDXLV0bgPuLH1iMwNvwN0V0KBpYl5e3vD19cXZ86cAQBoNBqUl5cjPz/foF5eXh68vLyM3i8DCmqQY94doHNyRV03x+kB6JzuwzHvDs3ZLKJmw+8Ambtr164hJycH3t7eAICePXvC1tYWycnJUp3c3FxkZGQgJCTE6P0yoKAG0VtZ4b2+T9z+/53rfv/3vb6jOBiN7ln8DtDdVD8pU87SUMXFxTh+/DiOHz8OAMjOzsbx48dx4cIFFBcXY9asWTh06BDOnTuH/fv3Y/jw4fDw8MATT9z+HLu6umLSpEmYOXMmvvvuOxw7dgzPPvssAgMDpbs+jMFPPDXY3g7dMDsiGnlOrgbleU738XY5sgj8DlCdTNDlceTIEfTo0QM9evQAAMyYMQM9evTAG2+8AWtra5w8eRIjR45Ep06dMHHiRHTq1AmHDh2Cs7OztI/Fixdj1KhRGDNmDPr27QtHR0fs2LHD6GdQAByUSY20t0M37G8fgB65v8LjZiGuOrrgmHcH/lVGFoPfAWopwsLCIETdkci3335b7z7s7e2xdOlSLF26tNHtYEBBjaa3suJtcWTR+B2gGix4Lg8GFERERAqx5NlGmZsjIiIi2ZihICIiUopCj942RwwoiIiIlMIxFERERCQXx1AQERERycAMBRERkVLY5UFERESyyezyMOeAgl0eREREJBszFEREREphlwcRERHJZsEBBbs8iIiISDZmKIiIiBTC51AQERERycCAgoiIiGRjlwcREZFSLHhQJgMKIiIihVjyGAoGFEREREoy46BADo6hICIiItmYoSAiIlIKx1AQERGRXJY8hoJdHkRERCQbMxRERERKYZcHERERycUuDyIiIiIZmjygSExMhEqlQmxsrFQmhEBcXBy0Wi0cHBwQFhaGzMzMpm4KERFR0xIKLGaqSQOKtLQ0rFq1Ct26dTMoT0pKwqJFi7Bs2TKkpaVBo9EgPDwcRUVFTdkcIiKipsWAQnnFxcUYP348PvnkE7Ru3VoqF0JgyZIlmD9/PqKiohAQEIB169bh5s2b2LhxY637KisrQ2FhocFCRERELUeTDcqcOnUqhg4dikGDBmHhwoVSeXZ2NnQ6HSIiIqQytVqN0NBQpKamIiYmpsa+EhMTER8f31RNNQs2I39TdH+V29oouj8iJbmfKDF1E4gahYMyFbZp0yYcPXoUiYmJNdbpdDoAgJeXl0G5l5eXtO5O8+bNQ0FBgbTk5OQo32giIiK5LLjLQ/EMRU5ODl5++WXs3r0b9vb2ddZTqVQGr4UQNcqqqdVqqNVqRdtJRESkOAt+DoXiGYr09HTk5eWhZ8+esLGxgY2NDVJSUvDhhx/CxsZGykzcmY3Iy8urkbUgIiIi86B4QDFw4ECcPHkSx48fl5ZevXph/PjxOH78ODp06ACNRoPk5GRpm/LycqSkpCAkJETp5hARETWb6jEUchZzpXiXh7OzMwICAgzKnJyc4O7uLpXHxsYiISEB/v7+8Pf3R0JCAhwdHTFu3Dilm0NERNR8LLjLwySP3p49ezZKS0sxZcoU5OfnIygoCLt374azs7MpmkNEREQyNUtAsX//foPXKpUKcXFxiIuLa463JyIiahaWfNsoJwcjIiJSigV3eXByMCIiIpKNGQoiIiKlWHCGggEFERGRQlS/L3K2N1fs8iAiIiLZmKEgIiJSCrs8iIiISC7eNkpERETyWXCGgmMoiIiISDZmKIiIiJRkxlkGORhQEBERKcSSx1Cwy4OIiIhkY4aCiIhIKRyUSURERHJVd3nIWRrqwIEDGD58OLRaLVQqFbZu3WqwXgiBuLg4aLVaODg4ICwsDJmZmQZ1ysrKMH36dHh4eMDJyQkjRozAxYsXG9QOBhRERERmrKSkBN27d8eyZctqXZ+UlIRFixZh2bJlSEtLg0ajQXh4OIqKiqQ6sbGx2LJlCzZt2oSDBw+iuLgYw4YNQ1VVldHtYJcHERGRUkzQ5REZGYnIyMjadycElixZgvnz5yMqKgoAsG7dOnh5eWHjxo2IiYlBQUEBVq9ejfXr12PQoEEAgA0bNsDHxwd79uzB4MGDjWoHMxREREQKUarLo7Cw0GApKytrVHuys7Oh0+kQEREhlanVaoSGhiI1NRUAkJ6ejoqKCoM6Wq0WAQEBUh1jMKAgIiJqYXx8fODq6iotiYmJjdqPTqcDAHh5eRmUe3l5Set0Oh3s7OzQunXrOusYg10eRERESlGoyyMnJwcuLi5SsVqtltUslcpwYnQhRI2yGk0xos4fMUNBRESkFKHAAsDFxcVgaWxAodFoAKBGpiEvL0/KWmg0GpSXlyM/P7/OOsZgQEFERKQQU9w2ejd+fn7QaDRITk6WysrLy5GSkoKQkBAAQM+ePWFra2tQJzc3FxkZGVIdY7DLg4iIyIwVFxfj7Nmz0uvs7GwcP34cbm5uaNeuHWJjY5GQkAB/f3/4+/sjISEBjo6OGDduHADA1dUVkyZNwsyZM+Hu7g43NzfMmjULgYGB0l0fxmBAQUREpBQT3DZ65MgR9O/fX3o9Y8YMAMDEiROxdu1azJ49G6WlpZgyZQry8/MRFBSE3bt3w9nZWdpm8eLFsLGxwZgxY1BaWoqBAwdi7dq1sLa2NrodDCiIiIgUohICKtH4iKIx24aFhUHcZTuVSoW4uDjExcXVWcfe3h5Lly7F0qVLG/z+1TiGgoiIiGRjhoKIiEgpFjw5GAMKIiIihci9U0PpuzyaE7s8iIiISDZmKIiIiJTCLg9q6Sq3tTF1E4iIqB7s8iAiIiKSgRkKIiIipbDLg4iIiOSy5C4PBhRERERKseAMBcdQEBERkWzMUBARESnInLst5GBAQUREpBQhbi9ytjdT7PIgIiIi2ZihICIiUgjv8iAiIiL5eJcHERERUeMxQ0FERKQQlf72Imd7c8WAgoiISCns8iAiIiJqPGYoiIiIFMK7PIiIiEg+C36wFQMKIiIihVhyhoJjKIiIiEg2ZiiIiIiUYsF3eTCgICIiUgi7PIiIiIhkYIaCiIhIKbzLg4iIiORilwcRERGRDMxQEBERKYV3eRAREZFc7PIgIiIikoEZCiIiIqXoxe1FzvZmigEFERGRUjiGgoiIiORSQeYYCsVa0vw4hoKIiIhkY4aCiIhIKXxSJhEREcnF20YVlJiYiN69e8PZ2Rmenp4YNWoUsrKyDOoIIRAXFwetVgsHBweEhYUhMzNT6aYQERFRM1E8oEhJScHUqVNx+PBhJCcno7KyEhERESgpKZHqJCUlYdGiRVi2bBnS0tKg0WgQHh6OoqIipZtDRETUfIQCi5lSvMtj165dBq/XrFkDT09PpKen47HHHoMQAkuWLMH8+fMRFRUFAFi3bh28vLywceNGxMTE1NhnWVkZysrKpNeFhYVKN5uIiEg2lRBQyRgHIWdbU2vyMRQFBQUAADc3NwBAdnY2dDodIiIipDpqtRqhoaFITU2tNaBITExEfHx8UzdVUe4nSuqvREREdI9o0ttGhRCYMWMG+vXrh4CAAACATqcDAHh5eRnU9fLyktbdad68eSgoKJCWnJycpmw2ERFR4+gVWMxUk2Yopk2bhp9++gkHDx6ssU6lMnx8hxCiRlk1tVoNtVrdJG0kIiJSiiV3eTRZhmL69OnYvn079u3bh7Zt20rlGo0GAGpkI/Ly8mpkLYiIiMg8KB5QCCEwbdo0bN68GXv37oWfn5/Bej8/P2g0GiQnJ0tl5eXlSElJQUhIiNLNISIiaj68y0M5U6dOxcaNG7Ft2zY4OztLmQhXV1c4ODhApVIhNjYWCQkJ8Pf3h7+/PxISEuDo6Ihx48Yp3RwiIqLmwydlKmfFihUAgLCwMIPyNWvWIDo6GgAwe/ZslJaWYsqUKcjPz0dQUBB2794NZ2dnpZtDRETUbCz5SZmKBxTCiOhKpVIhLi4OcXFxSr89ERERmQDn8iAiIlKKBXd5cPpyIiIihaj08peGiIuLg0qlMliq76YEmnfuLAYUREREZqxr167Izc2VlpMnT0rrmnPuLHZ5EBERKcUEXR42NjYGWYn/7arhc2fJwQwFERGRUhR6DkVhYaHB8scJMu905swZaLVa+Pn54emnn8avv/4KoP65s5TGgIKIiKiF8fHxgaurq7QkJibWWi8oKAifffYZvv32W3zyySfQ6XQICQnBtWvXGjV3lhzs8iAiIlKIUnN55OTkwMXFRSqvaz6ryMhI6f+BgYEIDg5Gx44dsW7dOvTp0+f2Phswd5YczFAQEREppXoMhZwFgIuLi8Fi7ASZTk5OCAwMxJkzZ5p97iwGFERERPeIsrIynDp1Ct7e3s0+dxa7PIiIiJQiADTwWRI1tm+AWbNmYfjw4WjXrh3y8vKwcOFCFBYWYuLEic0+dxYDCiIiIoUoNYbCWBcvXsQzzzyDq1evok2bNujTpw8OHz4MX19fAM07dxYDimqHT5i6BUREZO4EZD6HomHVN23adNf1zTl3FsdQEBERkWzMUBARESnFgicHY0BBRESkFD0AOY94kDOg08TY5UFERESyMUNBRESkkOa+y6MlYUBBRESkFAseQ8EuDyIiIpKNGQoiIiKlWHCGggEFERGRUiw4oGCXBxEREcnGDAUREZFSLPg5FAwoiIiIFMLbRomIiEg+jqEgIiIiajxmKIiIiJSiF4BKRpZBb74ZCgYURERESmGXBxEREVHjMUNBRESkGJkZCphvhoIBBRERkVLY5UFERETUeMxQEBERKUUvIKvbgnd5EBEREYT+9iJnezPFLg8iIiKSjRkKIiIipVjwoEwGFERERErhGAoiIiKSzYIzFBxDQURERLIxQ0FERKQUAZkZCsVa0uwYUBARESmFXR5EREREjccMBRERkVL0egAyHk6lN98HWzGgICIiUgq7PIiIiIgajxkKIiIipVhwhoIBBRERkVIs+EmZ7PIgIiIi2ZihICIiUogQeggZU5DL2dbUGFAQEREpRQh53RYcQ0FERES3AwLLDCg4hoKIiIhkY4aCiIhIKXo9oJIxDoJjKIiIiIhdHkREREQyMENBRESkEKHXQ8jo8uBto0RERMQuDyIiIiI5mKEgIiJSil4AKsvMUDCgICIiUooQAOTcNmq+AQW7PIiIiEg2ZiiIiIgUIvQCQkaXh2CGonGWL18OPz8/2Nvbo2fPnvj+++9N2RwiIiJ5hF7+0ggt4XpqsoDiyy+/RGxsLObPn49jx47h0UcfRWRkJC5cuGCqJhEREcki9EL20lAt5XpqsoBi0aJFmDRpEv7yl7/gwQcfxJIlS+Dj44MVK1aYqklERERmp6VcT00yhqK8vBzp6emYO3euQXlERARSU1Nr1C8rK0NZWZn0uqCgAABQiQpZzw8hIqJ7XyUqADTP+IRKUSZrgq/qthYWFhqUq9VqqNXqGvUbej1tSiYJKK5evYqqqip4eXkZlHt5eUGn09Won5iYiPj4+BrlB/F1k7WRiIjuLdeuXYOrq2uT7NvOzg4ajQYHdfKvS61atYKPj49B2YIFCxAXF1ejbkOvp03JpHd5qFQqg9dCiBplADBv3jzMmDFDen3jxg34+vriwoULTfbhaA6FhYXw8fFBTk4OXFxcTN2cRrsXjuNeOAbg3jiOe+EYAB5HS1JQUIB27drBzc2tyd7D3t4e2dnZKC8vl72v2q6FtWUn/sjY62lTMklA4eHhAWtr6xrRU15eXo0oC6g71ePq6mq2H/A/cnFx4XG0EPfCMQD3xnHcC8cA8DhaEiurph02aG9vD3t7+yZ9jzs19HralEwyKNPOzg49e/ZEcnKyQXlycjJCQkJM0SQiIiKz05Kupybr8pgxYwaee+459OrVC8HBwVi1ahUuXLiAyZMnm6pJREREZqelXE9NFlCMHTsW165dw5tvvonc3FwEBATg66+/hq+vb73bqtVqLFiwoN4+pZaOx9Fy3AvHANwbx3EvHAPA42hJ7oVjuBs511MlqYQ5P+eTiIiIWgRODkZERESyMaAgIiIi2RhQEBERkWwMKIiIiEg2BhREREQkm1kGFC1h3ndjJSYmonfv3nB2doanpydGjRqFrKwsgzrR0dFQqVQGS58+fUzU4trFxcXVaKNGo5HWCyEQFxcHrVYLBwcHhIWFITMz04Qtrql9+/Y1jkGlUmHq1KkAWu55OHDgAIYPHw6tVguVSoWtW7carDfmZ19WVobp06fDw8MDTk5OGDFiBC5evNiMR3H346ioqMCcOXMQGBgIJycnaLVaTJgwAZcvXzbYR1hYWI1z9PTTT7eIYwCM+wy19HMBoNbviUqlwrvvvivVMfW5MOZ3q7l8N+4VZhdQtJR5342VkpKCqVOn4vDhw0hOTkZlZSUiIiJQUlJiUO/xxx9Hbm6utHz9dcub+Kxr164GbTx58qS0LikpCYsWLcKyZcuQlpYGjUaD8PBwFBUVmbDFhtLS0gzaX/1kudGjR0t1WuJ5KCkpQffu3bFs2bJa1xvzs4+NjcWWLVuwadMmHDx4EMXFxRg2bBiqqqqa6zDuehw3b97E0aNH8frrr+Po0aPYvHkzTp8+jREjRtSo+8ILLxico48//rg5mg+g/nMB1P8ZaunnAoBB+3Nzc/Hpp59CpVLhySefNKhnynNhzO9Wc/lu3DOEmXnkkUfE5MmTDcq6dOki5s6da6IWNUxeXp4AIFJSUqSyiRMnipEjR5quUUZYsGCB6N69e63r9Hq90Gg04u2335bKbt26JVxdXcXKlSubqYUN9/LLL4uOHTsKvV4vhDCP8wBAbNmyRXptzM/+xo0bwtbWVmzatEmqc+nSJWFlZSV27drVbG3/ozuPozY//vijACDOnz8vlYWGhoqXX365aRtnpNqOob7PkLmei5EjR4oBAwYYlLWkcyFEzd+t5vrdMGdmlaGonvc9IiLCoNwU8743VkFBAQDUmPVu//798PT0RKdOnfDCCy8gLy/PFM27qzNnzkCr1cLPzw9PP/00fv31VwBAdnY2dDqdwXlRq9UIDQ1tseelvLwcGzZswPPPP28wI585nIc/MuZnn56ejoqKCoM6Wq0WAQEBLfb8ALe/KyqVCvfdd59B+eeffw4PDw907doVs2bNalFZMODunyFzPBdXrlzBzp07MWnSpBrrWtK5uPN367383WipTDp9eUO1pHnfG0MIgRkzZqBfv34ICAiQyiMjIzF69Gj4+voiOzsbr7/+OgYMGID09PQW86jYoKAgfPbZZ+jUqROuXLmChQsXIiQkBJmZmdLPvrbzcv78eVM0t15bt27FjRs3EB0dLZWZw3m4kzE/e51OBzs7O7Ru3bpGnZb6vbl16xbmzp2LcePGGcxwOX78ePj5+UGj0SAjIwPz5s3DiRMnakyMZCr1fYbM8VysW7cOzs7OiIqKMihvSeeitt+t9+p3oyUzq4CiWkuY970xpk2bhp9++gkHDx40KB87dqz0/4CAAPTq1Qu+vr7YuXNnjS+xqURGRkr/DwwMRHBwMDp27Ih169ZJg87M6bysXr0akZGR0Gq1Upk5nIe6NOZn31LPT0VFBZ5++mno9XosX77cYN0LL7wg/T8gIAD+/v7o1asXjh49iocffri5m1pDYz9DLfVcAMCnn36K8ePH15iWuyWdi7p+twL31nejpTOrLo+WNO97Q02fPh3bt2/Hvn370LZt27vW9fb2hq+vL86cOdNMrWs4JycnBAYG4syZM9LdHuZyXs6fP489e/bgL3/5y13rmcN5MOZnr9FoUF5ejvz8/DrrtBQVFRUYM2YMsrOzkZycbJCdqM3DDz8MW1vbFnuO7vwMmdO5AIDvv/8eWVlZ9X5XANOdi7p+t95r3w1zYFYBRUua991YQghMmzYNmzdvxt69e+Hn51fvNteuXUNOTg68vb2boYWNU1ZWhlOnTsHb21tKe/7xvJSXlyMlJaVFnpc1a9bA09MTQ4cOvWs9czgPxvzse/bsCVtbW4M6ubm5yMjIaFHnpzqYOHPmDPbs2QN3d/d6t8nMzERFRUWLPUd3fobM5VxUW716NXr27Inu3bvXW7e5z0V9v1vvpe+G2TDRYNBG27Rpk7C1tRWrV68WP//8s4iNjRVOTk7i3Llzpm5arV588UXh6uoq9u/fL3Jzc6Xl5s2bQgghioqKxMyZM0VqaqrIzs4W+/btE8HBweL+++8XhYWFJm79/8ycOVPs379f/Prrr+Lw4cNi2LBhwtnZWfq5v/3228LV1VVs3rxZnDx5UjzzzDPC29u7RR2DEEJUVVWJdu3aiTlz5hiUt+TzUFRUJI4dOyaOHTsmAIhFixaJY8eOSXc/GPOznzx5smjbtq3Ys2ePOHr0qBgwYIDo3r27qKysbBHHUVFRIUaMGCHatm0rjh8/bvBdKSsrE0IIcfbsWREfHy/S0tJEdna22Llzp+jSpYvo0aNHsx3H3Y7B2M9QSz8X1QoKCoSjo6NYsWJFje1bwrmo73erEObz3bhXmF1AIYQQH330kfD19RV2dnbi4YcfNrgFs6UBUOuyZs0aIYQQN2/eFBEREaJNmzbC1tZWtGvXTkycOFFcuHDBtA2/w9ixY4W3t7ewtbUVWq1WREVFiczMTGm9Xq8XCxYsEBqNRqjVavHYY4+JkydPmrDFtfv2228FAJGVlWVQ3pLPw759+2r9DE2cOFEIYdzPvrS0VEybNk24ubkJBwcHMWzYsGY/trsdR3Z2dp3flX379gkhhLhw4YJ47LHHhJubm7CzsxMdO3YUL730krh27VqLOAZjP0Mt/VxU+/jjj4WDg4O4ceNGje1bwrmo73erEObz3bhXqIQQoomSH0RERGQhzGoMBREREbVMDCiIiIhINgYUREREJBsDCiIiIpKNAQURERHJxoCCiIiIZGNAQURERLIxoCAiIiLZGFAQERGRbAwoiIiISDYGFERERCTb/wOIhQLWMlypGQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [\n",
    "    100,\n",
    "]\n",
    "# Using 'center' here outputs the feature location as the arithmetic center of the detected feature\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_da,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=\"center\",\n",
    ")\n",
    "plt.pcolormesh(input_field_arr[0])\n",
    "plt.colorbar()\n",
    "\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(\"Single Threshold of 100\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the power of having multiple thresholds. We can set thresholds of 50, 100, 150, 200 and capture both:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-18T15:03:07.708810Z",
     "iopub.status.busy": "2025-12-18T15:03:07.708693Z",
     "iopub.status.idle": "2025-12-18T15:03:07.816382Z",
     "shell.execute_reply": "2025-12-18T15:03:07.816094Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [50, 100, 150, 200]\n",
    "# Using 'center' here outputs the feature location as the arithmetic center of the detected feature\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_da,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=\"center\",\n",
    ")\n",
    "plt.pcolormesh(input_field_arr[0])\n",
    "plt.colorbar()\n",
    "\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(\"Thresholds: [50, 100, 150, 200]\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-18T15:03:07.817874Z",
     "iopub.status.busy": "2025-12-18T15:03:07.817750Z",
     "iopub.status.idle": "2025-12-18T15:03:07.972682Z",
     "shell.execute_reply": "2025-12-18T15:03:07.972408Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thresholds = [50, 100, 150, 200, 250]\n",
    "# Using 'center' here outputs the feature location as the arithmetic center of the detected feature\n",
    "single_threshold_features = tobac.feature_detection_multithreshold(\n",
    "    field_in=input_field_da,\n",
    "    dxy=1000,\n",
    "    threshold=thresholds,\n",
    "    target=\"maximum\",\n",
    "    position_threshold=\"center\",\n",
    ")\n",
    "plt.pcolormesh(input_field_arr[0])\n",
    "plt.colorbar()\n",
    "\n",
    "# Plot all features detected\n",
    "for i, threshold in enumerate(thresholds):\n",
    "    thresholded_points = single_threshold_features[\n",
    "        single_threshold_features[\"threshold_value\"] == threshold\n",
    "    ]\n",
    "    plt.scatter(\n",
    "        x=thresholded_points[\"hdim_2\"].values,\n",
    "        y=thresholded_points[\"hdim_1\"].values,\n",
    "        color=\"C\" + str(i),\n",
    "        label=\"Threshold: \" + str(threshold),\n",
    "    )\n",
    "plt.legend()\n",
    "plt.title(\"Thresholds: [50, 100, 150, 200]\")\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": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}