{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "# `MinDriver` steps\n",
    "\n",
    "In this tutorial, we show how we can save individual steps during minimisation as well as how we can analyse them. We are going to minimise a simple system object. For details on how to define a system object, please have a look at other tutorials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import discretisedfield as df\n",
    "import micromagneticmodel as mm\n",
    "\n",
    "import oommfc as mc\n",
    "\n",
    "region = df.Region(p1=(-50e-9, -50e-9, 0), p2=(50e-9, 50e-9, 10e-9))\n",
    "mesh = df.Mesh(region=region, cell=(5e-9, 5e-9, 5e-9))\n",
    "\n",
    "system = mm.System(name=\"mindriver_steps\")\n",
    "\n",
    "system.energy = mm.Zeeman(H=(0, 0, 1e5))\n",
    "system.m = df.Field(mesh, nvdim=3, value=(1, 0, 0), norm=1.1e6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now have a system object and we can minimise it using `MinDriver`. By default, `MinDriver` saves only the data of the last step in the relexation. However, if we want to save all individual steps in between, we have to pass `output_step=True` to the `drive` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running OOMMF (ExeOOMMFRunner)[2025-02-02T14:32:11]... (0.5 s)\n"
     ]
    }
   ],
   "source": [
    "md = mc.MinDriver()\n",
    "md.drive(system, output_step=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we have a look at the table, we can see that multiple steps are saved:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>max_mxHxm</th>\n",
       "      <th>E</th>\n",
       "      <th>delta_E</th>\n",
       "      <th>bracket_count</th>\n",
       "      <th>line_min_count</th>\n",
       "      <th>conjugate_cycle_count</th>\n",
       "      <th>cycle_count</th>\n",
       "      <th>cycle_sub_count</th>\n",
       "      <th>energy_calc_count</th>\n",
       "      <th>E_zeeman</th>\n",
       "      <th>iteration</th>\n",
       "      <th>stage_iteration</th>\n",
       "      <th>stage</th>\n",
       "      <th>mx</th>\n",
       "      <th>my</th>\n",
       "      <th>mz</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.000000e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.999996e+04</td>\n",
       "      <td>-1.206285e-20</td>\n",
       "      <td>-1.206285e-20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.206285e-20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.999996e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9.848078e+04</td>\n",
       "      <td>-2.400340e-18</td>\n",
       "      <td>-2.388277e-18</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-2.400340e-18</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.848078e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.173648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9.396926e+04</td>\n",
       "      <td>-4.727747e-18</td>\n",
       "      <td>-2.327407e-18</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-4.727747e-18</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.396926e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.342020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.660254e+04</td>\n",
       "      <td>-6.911504e-18</td>\n",
       "      <td>-2.183757e-18</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-6.911504e-18</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.660254e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7.660444e+04</td>\n",
       "      <td>-8.885258e-18</td>\n",
       "      <td>-1.973754e-18</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-8.885258e-18</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.660444e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.642788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6.427876e+04</td>\n",
       "      <td>-1.058904e-17</td>\n",
       "      <td>-1.703780e-18</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-1.058904e-17</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.427876e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.766044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.000000e+04</td>\n",
       "      <td>-1.197108e-17</td>\n",
       "      <td>-1.382038e-18</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-1.197108e-17</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.866025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3.464669e+04</td>\n",
       "      <td>-1.296684e-17</td>\n",
       "      <td>-9.957653e-19</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-1.296684e-17</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.464669e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.938062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3.420201e+04</td>\n",
       "      <td>-1.298938e-17</td>\n",
       "      <td>-2.253721e-20</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-1.298938e-17</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.420201e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.939693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.981052e+04</td>\n",
       "      <td>-1.354905e-17</td>\n",
       "      <td>-5.596679e-19</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-1.354905e-17</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.981052e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.980181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.736482e+04</td>\n",
       "      <td>-1.361301e-17</td>\n",
       "      <td>-6.395896e-20</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>-1.361301e-17</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.736482e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.984808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>6.305027e+03</td>\n",
       "      <td>-1.379550e-17</td>\n",
       "      <td>-1.824996e-19</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>-1.379550e-17</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.305027e-02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.998010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3.143399e-11</td>\n",
       "      <td>-1.382301e-17</td>\n",
       "      <td>-2.750291e-20</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>-1.382301e-17</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.143399e-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       max_mxHxm             E       delta_E  bracket_count  line_min_count  \\\n",
       "0   1.000000e+05  0.000000e+00  0.000000e+00            0.0             0.0   \n",
       "1   9.999996e+04 -1.206285e-20 -1.206285e-20            1.0             0.0   \n",
       "2   9.848078e+04 -2.400340e-18 -2.388277e-18            2.0             0.0   \n",
       "3   9.396926e+04 -4.727747e-18 -2.327407e-18            3.0             0.0   \n",
       "4   8.660254e+04 -6.911504e-18 -2.183757e-18            4.0             0.0   \n",
       "5   7.660444e+04 -8.885258e-18 -1.973754e-18            5.0             0.0   \n",
       "6   6.427876e+04 -1.058904e-17 -1.703780e-18            6.0             0.0   \n",
       "7   5.000000e+04 -1.197108e-17 -1.382038e-18            7.0             0.0   \n",
       "8   3.464669e+04 -1.296684e-17 -9.957653e-19            8.0             0.0   \n",
       "9   3.420201e+04 -1.298938e-17 -2.253721e-20            9.0             0.0   \n",
       "10  1.981052e+04 -1.354905e-17 -5.596679e-19           10.0             0.0   \n",
       "11  1.736482e+04 -1.361301e-17 -6.395896e-20           11.0             0.0   \n",
       "12  6.305027e+03 -1.379550e-17 -1.824996e-19           12.0             0.0   \n",
       "13  3.143399e-11 -1.382301e-17 -2.750291e-20           13.0             0.0   \n",
       "\n",
       "    conjugate_cycle_count  cycle_count  cycle_sub_count  energy_calc_count  \\\n",
       "0                     1.0          1.0              0.0                1.0   \n",
       "1                     1.0          1.0              0.0                2.0   \n",
       "2                     1.0          1.0              0.0                3.0   \n",
       "3                     2.0          2.0              0.0                4.0   \n",
       "4                     3.0          3.0              0.0                5.0   \n",
       "5                     4.0          4.0              0.0                6.0   \n",
       "6                     5.0          5.0              0.0                7.0   \n",
       "7                     6.0          6.0              0.0                8.0   \n",
       "8                     7.0          7.0              0.0                9.0   \n",
       "9                     7.0          7.0              0.0               10.0   \n",
       "10                    8.0          8.0              0.0               11.0   \n",
       "11                    8.0          8.0              0.0               12.0   \n",
       "12                    9.0          9.0              0.0               13.0   \n",
       "13                    9.0          9.0              0.0               14.0   \n",
       "\n",
       "        E_zeeman  iteration  stage_iteration  stage            mx   my  \\\n",
       "0   0.000000e+00        0.0              0.0    0.0  1.000000e+00  0.0   \n",
       "1  -1.206285e-20        1.0              1.0    0.0  9.999996e-01  0.0   \n",
       "2  -2.400340e-18        2.0              2.0    0.0  9.848078e-01  0.0   \n",
       "3  -4.727747e-18        3.0              3.0    0.0  9.396926e-01  0.0   \n",
       "4  -6.911504e-18        4.0              4.0    0.0  8.660254e-01  0.0   \n",
       "5  -8.885258e-18        5.0              5.0    0.0  7.660444e-01  0.0   \n",
       "6  -1.058904e-17        6.0              6.0    0.0  6.427876e-01  0.0   \n",
       "7  -1.197108e-17        7.0              7.0    0.0  5.000000e-01  0.0   \n",
       "8  -1.296684e-17        8.0              8.0    0.0  3.464669e-01  0.0   \n",
       "9  -1.298938e-17        9.0              9.0    0.0  3.420201e-01  0.0   \n",
       "10 -1.354905e-17       10.0             10.0    0.0  1.981052e-01  0.0   \n",
       "11 -1.361301e-17       11.0             11.0    0.0  1.736482e-01  0.0   \n",
       "12 -1.379550e-17       12.0             12.0    0.0  6.305027e-02  0.0   \n",
       "13 -1.382301e-17       13.0             13.0    0.0  3.143399e-16  0.0   \n",
       "\n",
       "          mz  \n",
       "0   0.000000  \n",
       "1   0.000873  \n",
       "2   0.173648  \n",
       "3   0.342020  \n",
       "4   0.500000  \n",
       "5   0.642788  \n",
       "6   0.766044  \n",
       "7   0.866025  \n",
       "8   0.938062  \n",
       "9   0.939693  \n",
       "10  0.980181  \n",
       "11  0.984808  \n",
       "12  0.998010  \n",
       "13  1.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "system.table.data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using all the utility of the `Table` object, we can analyse the data. For instance, we can plot the energy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "system.table.mpl(y=[\"E\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By fecault, iteration is showed on the $x$-axis. We can change that by passing `x` variable. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "system.table.mpl(x=\"mx\", y=[\"E\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `micromagneticdata` analysis\n",
    "\n",
    "Similar to all other drivers, we can use `micromagneticdata` package to analyse the data. We start by creationg the data object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import micromagneticdata as md\n",
    "\n",
    "data = md.Data(name=system.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can have a look at all drives we did so far:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>drive_number</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>driver</th>\n",
       "      <th>t</th>\n",
       "      <th>n</th>\n",
       "      <th>n_threads</th>\n",
       "      <th>adapter</th>\n",
       "      <th>start_time</th>\n",
       "      <th>adapter_version</th>\n",
       "      <th>output_step</th>\n",
       "      <th>end_time</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>success</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2023-01-16</td>\n",
       "      <td>17:35:54</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2023-01-16</td>\n",
       "      <td>17:35:58</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.000000e-09</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2023-01-16</td>\n",
       "      <td>17:37:00</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2023-01-16</td>\n",
       "      <td>17:37:04</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.000000e-09</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2023-01-16</td>\n",
       "      <td>17:37:28</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>2023-01-16</td>\n",
       "      <td>17:38:02</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>2023-01-16</td>\n",
       "      <td>17:38:06</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.000000e-09</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>2023-10-10</td>\n",
       "      <td>16:55:09</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>2023-10-10</td>\n",
       "      <td>16:55:13</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.000000e-09</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>2023-10-18</td>\n",
       "      <td>12:37:23</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>2023-10-18</td>\n",
       "      <td>12:39:38</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>2023-10-18</td>\n",
       "      <td>12:39:56</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.000000e-09</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>2024-07-14</td>\n",
       "      <td>16:10:32</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oommfc</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>2024-07-14</td>\n",
       "      <td>16:10:37</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.000000e-09</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>oommfc</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>2025-02-02</td>\n",
       "      <td>14:11:40</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oommfc</td>\n",
       "      <td>2025-02-02T14:11:40</td>\n",
       "      <td>0.64.1</td>\n",
       "      <td>True</td>\n",
       "      <td>2025-02-02T14:11:41</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>2025-02-02</td>\n",
       "      <td>14:11:46</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.000000e-09</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>oommfc</td>\n",
       "      <td>2025-02-02T14:11:46</td>\n",
       "      <td>0.64.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>2025-02-02</td>\n",
       "      <td>14:14:09</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oommfc</td>\n",
       "      <td>2025-02-02T14:14:09</td>\n",
       "      <td>0.64.1</td>\n",
       "      <td>True</td>\n",
       "      <td>2025-02-02T14:14:10</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>2025-02-02</td>\n",
       "      <td>14:14:14</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>2.000000e-09</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>oommfc</td>\n",
       "      <td>2025-02-02T14:14:14</td>\n",
       "      <td>0.64.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2025-02-02T14:14:15</td>\n",
       "      <td>00:00:02</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>2025-02-02</td>\n",
       "      <td>14:32:10</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>oommfc</td>\n",
       "      <td>2025-02-02T14:32:10</td>\n",
       "      <td>0.65.0</td>\n",
       "      <td>True</td>\n",
       "      <td>2025-02-02T14:32:11</td>\n",
       "      <td>00:00:01</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    drive_number        date      time      driver             t      n  \\\n",
       "0              0  2023-01-16  17:35:54   MinDriver           NaN    NaN   \n",
       "1              1  2023-01-16  17:35:58  TimeDriver  2.000000e-09  200.0   \n",
       "2              2  2023-01-16  17:37:00   MinDriver           NaN    NaN   \n",
       "3              3  2023-01-16  17:37:04  TimeDriver  2.000000e-09  200.0   \n",
       "4              4  2023-01-16  17:37:28   MinDriver           NaN    NaN   \n",
       "5              5  2023-01-16  17:38:02   MinDriver           NaN    NaN   \n",
       "6              6  2023-01-16  17:38:06  TimeDriver  2.000000e-09  200.0   \n",
       "7              7  2023-10-10  16:55:09   MinDriver           NaN    NaN   \n",
       "8              8  2023-10-10  16:55:13  TimeDriver  2.000000e-09  200.0   \n",
       "9              9  2023-10-18  12:37:23   MinDriver           NaN    NaN   \n",
       "10            10  2023-10-18  12:39:38   MinDriver           NaN    NaN   \n",
       "11            11  2023-10-18  12:39:56  TimeDriver  2.000000e-09  200.0   \n",
       "12            12  2024-07-14  16:10:32   MinDriver           NaN    NaN   \n",
       "13            13  2024-07-14  16:10:37  TimeDriver  2.000000e-09  200.0   \n",
       "14            14  2025-02-02  14:11:40   MinDriver           NaN    NaN   \n",
       "15            15  2025-02-02  14:11:46  TimeDriver  2.000000e-09  200.0   \n",
       "16            16  2025-02-02  14:14:09   MinDriver           NaN    NaN   \n",
       "17            17  2025-02-02  14:14:14  TimeDriver  2.000000e-09  200.0   \n",
       "18            18  2025-02-02  14:32:10   MinDriver           NaN    NaN   \n",
       "\n",
       "    n_threads adapter           start_time adapter_version output_step  \\\n",
       "0         NaN     NaN                  NaN             NaN         NaN   \n",
       "1         4.0     NaN                  NaN             NaN         NaN   \n",
       "2         NaN     NaN                  NaN             NaN         NaN   \n",
       "3         4.0     NaN                  NaN             NaN         NaN   \n",
       "4         NaN     NaN                  NaN             NaN         NaN   \n",
       "5         NaN     NaN                  NaN             NaN         NaN   \n",
       "6         4.0     NaN                  NaN             NaN         NaN   \n",
       "7         NaN     NaN                  NaN             NaN         NaN   \n",
       "8         4.0     NaN                  NaN             NaN         NaN   \n",
       "9         NaN     NaN                  NaN             NaN         NaN   \n",
       "10        NaN     NaN                  NaN             NaN         NaN   \n",
       "11        4.0     NaN                  NaN             NaN         NaN   \n",
       "12        NaN  oommfc                  NaN             NaN         NaN   \n",
       "13        4.0  oommfc                  NaN             NaN         NaN   \n",
       "14        NaN  oommfc  2025-02-02T14:11:40          0.64.1        True   \n",
       "15        4.0  oommfc  2025-02-02T14:11:46          0.64.1         NaN   \n",
       "16        NaN  oommfc  2025-02-02T14:14:09          0.64.1        True   \n",
       "17        4.0  oommfc  2025-02-02T14:14:14          0.64.1         NaN   \n",
       "18        NaN  oommfc  2025-02-02T14:32:10          0.65.0        True   \n",
       "\n",
       "               end_time elapsed_time success  \n",
       "0                   NaN          NaN     NaN  \n",
       "1                   NaN          NaN     NaN  \n",
       "2                   NaN          NaN     NaN  \n",
       "3                   NaN          NaN     NaN  \n",
       "4                   NaN          NaN     NaN  \n",
       "5                   NaN          NaN     NaN  \n",
       "6                   NaN          NaN     NaN  \n",
       "7                   NaN          NaN     NaN  \n",
       "8                   NaN          NaN     NaN  \n",
       "9                   NaN          NaN     NaN  \n",
       "10                  NaN          NaN     NaN  \n",
       "11                  NaN          NaN     NaN  \n",
       "12                  NaN          NaN     NaN  \n",
       "13                  NaN          NaN     NaN  \n",
       "14  2025-02-02T14:11:41     00:00:01    True  \n",
       "15                  NaN          NaN     NaN  \n",
       "16  2025-02-02T14:14:10     00:00:01    True  \n",
       "17  2025-02-02T14:14:15     00:00:02    True  \n",
       "18  2025-02-02T14:32:11     00:00:01    True  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is only one drive and we can get it by passing `0` (ot `-1`) as an index:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "drive = data[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now plot the magnetisation at individual iterations, by indexing it again with the step number and do all usual operations allowed by `discretisedfield.Field` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<strong>Field</strong>\n",
       "<ul>\n",
       "  \n",
       "  <li><strong>Mesh</strong>\n",
       "<ul>\n",
       "  <li><strong>Region</strong>\n",
       "<ul>\n",
       "  <li>pmin = [-5e-08, -5e-08, 0.0]</li>\n",
       "  <li>pmax = [5e-08, 5e-08, 1e-08]</li>\n",
       "  <li>dims = ['x', 'y', 'z']</li>\n",
       "  <li>units = ['m', 'm', 'm']</li>\n",
       "</ul></li>\n",
       "  <li>n = [20, 20, 2]</li>\n",
       "  </ul></li>\n",
       "  <li>nvdim = 3</li>\n",
       "  <li>vdims:\n",
       "      <ul><li>x</li>\n",
       "        <li>y</li>\n",
       "        <li>z</li>\n",
       "        </ul>\n",
       "    </li>\n",
       "  <li>unit = A/m</li>\n",
       "  </ul>"
      ],
      "text/plain": [
       "Field(Mesh(Region(pmin=[-5e-08, -5e-08, 0.0], pmax=[5e-08, 5e-08, 1e-08], dims=['x', 'y', 'z'], units=['m', 'm', 'm']), n=[20, 20, 2]), nvdim=3, vdims: (x, y, z), unit=A/m)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The number of steps in the drive is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us now create an interactive plot. For details on how to create custom interactive plots, please have a look at other tutorials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
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       "  var reloading = false;\n",
       "  var Bokeh = root.Bokeh;\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
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       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks;\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
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       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
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       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
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       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    }\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "    window._bokeh_on_load = on_load\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
       "      root._bokeh_is_loading = css_urls.length + 0;\n",
       "    } else {\n",
       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
       "    }\n",
       "\n",
       "    var existing_stylesheets = []\n",
       "    var links = document.getElementsByTagName('link')\n",
       "    for (var i = 0; i < links.length; i++) {\n",
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       "      if (link.href != null) {\n",
       "\texisting_stylesheets.push(link.href)\n",
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       "    }\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
       "\ton_load()\n",
       "\tcontinue;\n",
       "      }\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }    var existing_scripts = []\n",
       "    var scripts = document.getElementsByTagName('script')\n",
       "    for (var i = 0; i < scripts.length; i++) {\n",
       "      var script = scripts[i]\n",
       "      if (script.src != null) {\n",
       "\texisting_scripts.push(script.src)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (var i = 0; i < js_modules.length; i++) {\n",
       "      var url = js_modules[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (const name in js_exports) {\n",
       "      var url = js_exports[name];\n",
       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      element.textContent = `\n",
       "      import ${name} from \"${url}\"\n",
       "      window.${name} = ${name}\n",
       "      window._bokeh_on_load()\n",
       "      `\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    if (!js_urls.length && !js_modules.length) {\n",
       "      on_load()\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.3.min.js\", \"https://cdn.holoviz.org/panel/1.4.5/dist/panel.min.js\"];\n",
       "  var js_modules = [];\n",
       "  var js_exports = {};\n",
       "  var css_urls = [];\n",
       "  var inline_js = [    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "\ttry {\n",
       "          inline_js[i].call(root, root.Bokeh);\n",
       "\t} catch(e) {\n",
       "\t  if (!reloading) {\n",
       "\t    throw e;\n",
       "\t  }\n",
       "\t}\n",
       "      }\n",
       "      // Cache old bokeh versions\n",
       "      if (Bokeh != undefined && !reloading) {\n",
       "\tvar NewBokeh = root.Bokeh;\n",
       "\tif (Bokeh.versions === undefined) {\n",
       "\t  Bokeh.versions = new Map();\n",
       "\t}\n",
       "\tif (NewBokeh.version !== Bokeh.version) {\n",
       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
       "\t}\n",
       "\troot.Bokeh = Bokeh;\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "    root._bokeh_is_initializing = false\n",
       "  }\n",
       "\n",
       "  function load_or_wait() {\n",
       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
       "    // versions of Bokeh and its dependencies at the same time.\n",
       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
       "    // to determine whether there is an ongoing attempt to initialize\n",
       "    // bokeh, however for backward compatibility we also try to ensure\n",
       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
       "    // before older versions are fully initialized.\n",
       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
       "      root._bokeh_is_initializing = false;\n",
       "      root._bokeh_onload_callbacks = undefined;\n",
       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
       "      load_or_wait();\n",
       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
       "      setTimeout(load_or_wait, 100);\n",
       "    } else {\n",
       "      root._bokeh_is_initializing = true\n",
       "      root._bokeh_onload_callbacks = []\n",
       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "      if (!reloading && !bokeh_loaded) {\n",
       "\troot.Bokeh = undefined;\n",
       "      }\n",
       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "\trun_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }\n",
       "  // Give older versions of the autoload script a head-start to ensure\n",
       "  // they initialize before we start loading newer version.\n",
       "  setTimeout(load_or_wait, 100)\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.3.min.js\", \"https://cdn.holoviz.org/panel/1.4.5/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
       "}\n",
       "\n",
       "\n",
       "    function JupyterCommManager() {\n",
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       "\n",
       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
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       "        });\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
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       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
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       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
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       "      window.PyViz.comms[comm_id] = comm;\n",
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       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
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       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
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       "  node.appendChild(script);\n",
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       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
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       " */\n",
       "function handle_clear_output(event, handle) {\n",
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       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
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       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
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       "  handle_add_output(event, handle)\n",
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       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
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       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
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      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || 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the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
       "}\n",
       "\n",
       "/* Override VSCode background color */\n",
       ".cell-output-ipywidget-background:has(\n",
       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
       "  ),\n",
       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "</style>"
      ]
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     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
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       "  <div id=\"ee60dc57-562b-4b21-b262-e3b772b6c97d\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"cf2135c8-2479-49ec-ba45-cd7b82fbb007\":{\"version\":\"3.4.3\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"ef01dae209e64d6fa31c7beda80175ee\",\"client_comm_id\":\"4243886eb9ea4bc3962f6ba41e2d155a\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
       "  var render_items = [{\"docid\":\"cf2135c8-2479-49ec-ba45-cd7b82fbb007\",\"roots\":{\"p1002\":\"ee60dc57-562b-4b21-b262-e3b772b6c97d\"},\"root_ids\":[\"p1002\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
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       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
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       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
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       "\t  root_el.id = root_el.id + '-rendered'\n",
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       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\n",
       "\t}\n",
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       "    }\n",
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       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
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       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
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       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
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       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
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background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1007\"},{\"id\":\"p1005\"},{\"id\":\"p1006\"}],\"margin\":[0,10,5,10],\"align\":\"start\",\"show_value\":false,\"tooltips\":false,\"start\":0,\"end\":13,\"value\":0}}]}}]}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1098\",\"attributes\":{\"plot_id\":\"p1004\",\"comm_id\":\"1ccd6b26707a42b0ada81f60f9653054\",\"client_comm_id\":\"b6765e0e6e60499c9a90362badc4a104\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
       "  var render_items = [{\"docid\":\"fb723e44-eeb5-4a84-9a7c-b35f4bd2cb7d\",\"roots\":{\"p1004\":\"a803d572-cf69-42f6-b9ea-d69d57602f33\"},\"root_ids\":[\"p1004\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       ":DynamicMap   [iteration]\n",
       "   :Overlay\n",
       "      .Image.I       :Image   [x,z]   (field)\n",
       "      .VectorField.I :VectorField   [x,z]   (angle,mag)"
      ]
     },
     "execution_count": 11,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1004"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.register_callback(lambda f: f.sel(\"y\")).hv(kdims=[\"x\", \"z\"]).opts(frame_width=800)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.5"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "450b8cc4a5fb4b788b1c8c901cf93abc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "5a2cad65fee747e3a6cfebeff2e18d2b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "71f51c70826d428d8e07e73234b8b213": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_c37c4af837a74af49d38eef3691a26be",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 576x432 with 2 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "a549661baa1441e4955bd15b88d4aa5c": {
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      "model_module_version": "1.2.0",
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     "c37c4af837a74af49d38eef3691a26be": {
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      "model_module_version": "1.2.0",
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     "f055afb58dd7475bafc7c78bbe7a772e": {
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      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
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       "description": "step",
       "layout": "IPY_MODEL_5a2cad65fee747e3a6cfebeff2e18d2b",
       "max": 13,
       "style": "IPY_MODEL_450b8cc4a5fb4b788b1c8c901cf93abc"
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     "f1a3ed7946fd4711a432ed4f9c134b99": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_f055afb58dd7475bafc7c78bbe7a772e",
        "IPY_MODEL_71f51c70826d428d8e07e73234b8b213"
       ],
       "layout": "IPY_MODEL_a549661baa1441e4955bd15b88d4aa5c"
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}