{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "# Hysteresis simulations\n",
    "\n",
    "In this tutorial, we summarise some of the convenience methods offered by Ubermag that can be used for simulating hysteresis. Let us first define a simple system object. For details on how to define simulations, please refer to other tutorials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import oommfc as mc\n",
    "import discretisedfield as df\n",
    "import micromagneticmodel as mm\n",
    "\n",
    "region = df.Region(p1=(-50e-9, -50e-9, -50e-9), p2=(50e-9, 50e-9, 50e-9))\n",
    "mesh = df.Mesh(region=region, cell=(5e-9, 5e-9, 5e-9))\n",
    "\n",
    "system = mm.System(name=\"hysteresis\")\n",
    "system.energy = (\n",
    "    mm.Exchange(A=1e-12)\n",
    "    + mm.UniaxialAnisotropy(K=4e5, u=(0, 0, 1))\n",
    "    + mm.DMI(D=1e-3, crystalclass=\"T\")\n",
    ")  # + mm.Demag()\n",
    "\n",
    "\n",
    "def Ms_fun(point):\n",
    "    x, y, z = point\n",
    "    if x**2 + y**2 + z**2 <= 50e-9**2:\n",
    "        return 1e6\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "\n",
    "system.m = df.Field(mesh, nvdim=3, value=(0, 0, -1), norm=Ms_fun, valid=\"norm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have `system` object we can simulate hysteresis using `HysteresisDriver`. Like all other drivers, `HysteresisDriver` has `drive` method. As input arguments it takes `system` object (as usual) and:\n",
    "\n",
    "- `Hmin` - the starting value of magnetic field\n",
    "- `Hmin` - the end value of magnetic field\n",
    "- `n` - the number of points between `Hmin` and `Hmax`\n",
    "\n",
    "For instance, let us say we want to simulate hysteresis between $-1\\,\\text{T}$ and $1\\,\\text{T}$ applied along the $z$-direction in steps of $0.2\\,\\text{T}$. Accordingly, `Hmin` and `Hmax` are: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "Hmin = (0, 0, -1 / mm.consts.mu0)\n",
    "Hmax = (0, 0, 1 / mm.consts.mu0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The number of steps `n` should be 21, so that the values of magnetic field are: $-1\\,\\text{T}$, $-0.9\\,\\text{T}$, $-0.8\\,\\text{T}$, ..., $0.9\\,\\text{T}$, $1\\,\\text{T}$, $0.9\\,\\text{T}$, $0.8\\,\\text{T}$, ..., $-0.9\\,\\text{T}$, $-1\\,\\text{T}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "n = 21"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now create `HysteresisDriver` and drive the system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running OOMMF (ExeOOMMFRunner)[2024/08/12 13:25]... (2.8 s)\n"
     ]
    }
   ],
   "source": [
    "hd = mc.HysteresisDriver()\n",
    "hd.drive(system, Hmin=Hmin, Hmax=Hmax, n=n)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After the simulation is complete, we can have a look at the last magnetisation step:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "system.m.sel(\"y\").mpl()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, table can be viewed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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_exchange</th>\n",
       "      <th>...</th>\n",
       "      <th>B_hysteresis</th>\n",
       "      <th>Bx_hysteresis</th>\n",
       "      <th>By_hysteresis</th>\n",
       "      <th>Bz_hysteresis</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>0.081239</td>\n",
       "      <td>-5.296243e-16</td>\n",
       "      <td>-2.958228e-31</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.178506e-19</td>\n",
       "      <td>...</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1000.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-7.579123e-20</td>\n",
       "      <td>-1.378022e-20</td>\n",
       "      <td>-0.998400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.079335</td>\n",
       "      <td>-4.769135e-16</td>\n",
       "      <td>-8.874685e-31</td>\n",
       "      <td>16.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1.301416e-19</td>\n",
       "      <td>...</td>\n",
       "      <td>900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-900.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5.512089e-20</td>\n",
       "      <td>-3.445056e-20</td>\n",
       "      <td>-0.998216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.056329</td>\n",
       "      <td>-4.242133e-16</td>\n",
       "      <td>-9.860761e-32</td>\n",
       "      <td>23.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1.445097e-19</td>\n",
       "      <td>...</td>\n",
       "      <td>800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-4.065166e-19</td>\n",
       "      <td>2.067033e-20</td>\n",
       "      <td>-0.997999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.086473</td>\n",
       "      <td>-3.715256e-16</td>\n",
       "      <td>-2.465190e-31</td>\n",
       "      <td>31.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1.614662e-19</td>\n",
       "      <td>...</td>\n",
       "      <td>700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-6.270001e-19</td>\n",
       "      <td>-8.612639e-20</td>\n",
       "      <td>-0.997739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.053097</td>\n",
       "      <td>-3.188531e-16</td>\n",
       "      <td>-3.944305e-31</td>\n",
       "      <td>40.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1.816966e-19</td>\n",
       "      <td>...</td>\n",
       "      <td>600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.067967e-19</td>\n",
       "      <td>2.756045e-20</td>\n",
       "      <td>-0.997422</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   max_mxHxm             E       delta_E  bracket_count  line_min_count  \\\n",
       "0   0.081239 -5.296243e-16 -2.958228e-31            9.0             9.0   \n",
       "1   0.079335 -4.769135e-16 -8.874685e-31           16.0            15.0   \n",
       "2   0.056329 -4.242133e-16 -9.860761e-32           23.0            22.0   \n",
       "3   0.086473 -3.715256e-16 -2.465190e-31           31.0            29.0   \n",
       "4   0.053097 -3.188531e-16 -3.944305e-31           40.0            36.0   \n",
       "\n",
       "   conjugate_cycle_count  cycle_count  cycle_sub_count  energy_calc_count  \\\n",
       "0                    1.0          8.0              7.0               19.0   \n",
       "1                    2.0         15.0              6.0               33.0   \n",
       "2                    3.0         22.0              6.0               48.0   \n",
       "3                    4.0         29.0              6.0               64.0   \n",
       "4                    5.0         37.0              7.0               81.0   \n",
       "\n",
       "     E_exchange  ...  B_hysteresis  Bx_hysteresis  By_hysteresis  \\\n",
       "0  1.178506e-19  ...        1000.0            0.0            0.0   \n",
       "1  1.301416e-19  ...         900.0            0.0            0.0   \n",
       "2  1.445097e-19  ...         800.0            0.0            0.0   \n",
       "3  1.614662e-19  ...         700.0            0.0            0.0   \n",
       "4  1.816966e-19  ...         600.0            0.0            0.0   \n",
       "\n",
       "   Bz_hysteresis  iteration  stage_iteration  stage            mx  \\\n",
       "0        -1000.0       18.0             18.0    0.0 -7.579123e-20   \n",
       "1         -900.0       32.0             13.0    1.0 -5.512089e-20   \n",
       "2         -800.0       47.0             14.0    2.0 -4.065166e-19   \n",
       "3         -700.0       62.0             14.0    3.0 -6.270001e-19   \n",
       "4         -600.0       78.0             15.0    4.0  1.067967e-19   \n",
       "\n",
       "             my        mz  \n",
       "0 -1.378022e-20 -0.998400  \n",
       "1 -3.445056e-20 -0.998216  \n",
       "2  2.067033e-20 -0.997999  \n",
       "3 -8.612639e-20 -0.997739  \n",
       "4  2.756045e-20 -0.997422  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "system.table.data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the table, we can see at what external magnetic field the system was relaxed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     1000.0\n",
       "1      900.0\n",
       "2      800.0\n",
       "3      700.0\n",
       "4      600.0\n",
       "5      500.0\n",
       "6      400.0\n",
       "7      300.0\n",
       "8      200.0\n",
       "9      100.0\n",
       "10       0.0\n",
       "11     100.0\n",
       "12     200.0\n",
       "13     300.0\n",
       "14     400.0\n",
       "15     500.0\n",
       "16     600.0\n",
       "17     700.0\n",
       "18     800.0\n",
       "19     900.0\n",
       "20    1000.0\n",
       "21     900.0\n",
       "22     800.0\n",
       "23     700.0\n",
       "24     600.0\n",
       "25     500.0\n",
       "26     400.0\n",
       "27     300.0\n",
       "28     200.0\n",
       "29     100.0\n",
       "30       0.0\n",
       "31     100.0\n",
       "32     200.0\n",
       "33     300.0\n",
       "34     400.0\n",
       "35     500.0\n",
       "36     600.0\n",
       "37     700.0\n",
       "38     800.0\n",
       "39     900.0\n",
       "40    1000.0\n",
       "Name: B_hysteresis, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "system.table.data[\"B_hysteresis\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The units of $B$ are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'mT'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "system.table.units[\"B_hysteresis\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting hysteresis loop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using `Table` object, we can plot different values as a function of external magnetic field. For that, as usual, we use `mpl` method. We have to specify to that method what do we want to have on the $y$-axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "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=[\"mz\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This does not look like a hysteresis loop as we expected. The reason is that on the horizontal axis we have the magnitude `B` by default, which is always positive. We can change that by passing `Bz` for `x`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "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=\"Bz_hysteresis\", y=[\"mz\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Table.mpl` is based on `matplotlib.pyplot.plot`, so any keyword argument accepted by it can be passed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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w9OhRTJkyxWbdY8eOQSQSoX379jVaX2WIFBH1XLdy1AuVI1xt333FEbVSZtNyrQyxP1XKl+noc0+JxRK7Zc5eFKs4guTrr7+GP//8Ex9/vBoqlbradSHyJne/d6N6xSMuSg2ZVFz6n0R8989SMaQSMULk9t+ThdNtk0Z3E88OLSOR3KpqfRMjwxSIDLv7ZC8hLhzfHr7m1o3PGz9+RSIRpgxs7fAFytLPgSkDWnvth3awlicIAq5ma/Dtr9fcWt/ytKBZVD10aBmJhvWVaFRfgQb1FaUJdbgC9ZQyt+olFosxrEecw9EmLIb1cJB4VhHLC+zyavs7WB11Prm+fv069Ho9mjVrBpms9Jfo4MGDsXjxYqxfvx5jxoyxGec6MzPTOlEMAMTHx6NDhw7YvXs3nn76aZuXGHfv3o1evXrV+DB8w1Oaud0lQxAEREUoK31EHRWhxNLHe1V6gipDpFj2P/d4XNeasHZtKn744QBef/1fiI9v7uPaENlzt8VlUv+WAZl4+qrMbomN8JfxyUg7cN5uBJYpA7w/9F+wlVeoM2DJmiOVnpcVWUZ56NymITq3aVit8oG7w7TV1jjJLC+wy6vt72BVBWVyvX37dly/fh1A6YQwJSUl+PDDDwEATZs2xfjx463rvvDCC0hPT8fevXsRG1v6+C4yMhJPP/003njjDcyePRujR49GdnY2Pv/8c7Rs2RKzZs2yKW/RokV46KGHMH36dMyYMQNA6QyNgiBg4cKFtXDE7hOJRJg2uI3DUQtKP/efX37uOHz4F3zyyUo89NAc3HvvAF9Xh8ihupB4+rLMrgkNcTazALe1BoSrQ7zWOh5M5QmCgDu6Epsh++opZRB58CJ9TT1ynzKwNSb1b4kDx67jts6IcJUU/TvV3AyNlvL2/ZaFnAI9oiNCMbALywuU8izfiQvXC2EURJCJBbRs4l8zNAZlcr1lyxakp6fbLHvvvfcAACkpKTbJtTNz5sxBeHg4UlNTsXjxYqjVaowYMQILFiywdgmx6Nq1K9auXYt3333XWk7Xrl3x3nvvISkpyTsH5UXdk6KwcFYPh+Nc+9MvP3e89toihIeHIzY2Dt9887XNZz169ERkpG+H4yGysCSeq3efsXmnIZgSz/Jl1uaNTyQSIbFZRI3tP1DLMwsCLl0vxOEzOTiSkQO1Uo6/P9zDZr8920bh3LXb6J7YCFKJGKm7z/jkkbtYLMawlGa1NuOpWCzGkO7Vm3CO5fmuPJFIhKT4CL+dITcok+u1a9d6Zd2JEydi4sSJbu2nS5cuWL16tdvl+lrv5KZIjAnD6Ut5tXbTrQkFBQUAgNdf/1+7z95//99MrsmvdEtshKvZhfiybKzg+we2wvCUZkGVeFrK9OcbXzAzCwIuZN3Gr2dy8WtGjs2L57cKi5FToEdUuZcdx/VtYXP+hSpkfv/IncjfiYSKb4aRT+TmVn0QeE+5+7Z6XcO4OMfYOFaVuKzfcxZ7fyt9eeyVWd3RokmYiy0CE88Zx6oSF0EQcDazAAUaA8LVciTEhdskxGazgPNZt60t1I5Gp5GIRWjbPAKT+7dCs+h6bpVX2w0vPGccY1wc81VcGjWq/PsDBGnLNRGRv9KWm5AkVMFLMFXuSEYu0vaft3npMCpciSkD77YkFxlMeGvDUbuJgyRiEdq3iES3xEbo0qaR22NZ++JpB1Ew4ZWdiKgWacol1yo3xsqluutIRq7Dl2BzCvT4cPtJ/GV8MrolNkKoQor2zSNx/MItSCUitG8eie5JUejcpiHPMSIfYHJNRFSLtPrSCZdEAEK9MD48BSdBEJC2/7zTuV0EAUg7cB5dExpCJCod9iylbTQ6tW7IJyJEPsZvIBFRLerUqgGiIpQwmswQezAMGtUtZzMLXI4/nZOvx7lrt5EQF462zSNrqWZE5AqTayKiWjS2bwtfV4ECgKOXEh2vV+x6JSKqVTUzwjcRERFVWbha7nol3J0xkYj8B5NrIiIiP5MQF24zHrUjNTVjIhFVD5NrIqJaIggCOLUAuUMkEmHKwNZwNrx0Tc+YSERVx+SaiKiWXL55B0+8dRDPrPgRO3665OvqkJ/rltgIfxmfDGWFUWWiIpTWYfiIyP/whUYiolqiLSqB0WTGbY3BbsIPIke6JTbCkYwcHDqdDQB4bHRb9GrfmC3WRH6MLddERLVEV2S0/lnNsYjJTUqFFOFqOaQSMdq3aMDEmsjP8epORFRLtPpyszO6ORU10cxhiZg5LBEA2GefKACw5ZqIqJZoyrVcc1pqqgq2WhP5PybXRES1pHzLNaeoJiIKTkyuiYhqibaI3UKIiIIdm06IiGqJVs8XGskzRQYjPtj2O1QKKVrH1MeQ7nG+rhIRucCrOxFRLSnfch3KPtfkBo2+BKcu5QEAzGaByTVRAGC3ECKiWmIZii9EJoFMyssvuVb+aQe7EhEFBrZcExHVkpnDE3Fba0CJ0eTrqlCAsOmnz6cdRAGByTURUS1JiAv3dRUowGjLD9+o5C2bKBDwuSQREZGfYss1UeBhck1EROSnbGb1ZHJNFBD4jImIqBZoi0pw8XohVAoZGtRXoL5K7usqUQCw6RbC4RuJAgK/qUREteBajgbvbDoOABjZsxmmDGzt4xpRILBpueZoIUQBgd1CiIhqgYZDqlEVsOWaKPDwm0pEVAtsJ5DhpZfc06lVA9RXy6HVl0DNH2VEAYFXeCKiWlA+uVbzxTRyU79OTdHP15UgIo+wWwgRUS2wmWmPLddEREGLyTURUS2wGa+Yj/eJiIIWk2siolpg+2Iak2tyzSwIMJSYfF0NIvIQn00SEdUC2yHVeOkl1wq1BvxtxU+QS8VIaRuNOfe19XWViMgNbLkmIqoFlm4hErEIITKJj2tDgcDyg8xgNPu4JkTkCSbXRES1oKQsQVIppBCJRD6uDQUCm65EfNpBFDD4bSUiqgWvP9YLRpMZ+mKj65WJUOElWPbTJwoYbLkmIqolUokY9ULlvq4GBQgtZ/UkCkhMromIiPyQbcs1HzQTBQom10RERH6I3UKIAlNQ/hQ2m81Ys2YNNmzYgKysLERGRmLkyJGYP38+QkNDK912+fLlWLFihdPPpVIpTp065db6zz//PB555JGqHQQRBY0bt7T49nAmVEoZ2jWPRNv4CF9XiQKAbbeQoLxdEwWloPy2LlmyBGvXrsXQoUMxZ84cXLhwAWvXrsXp06eRmpoKsdh5g/3QoUPRrFkzu+UZGRn49NNPMXDgQIfbvfjii4iIsL1hdujQoXoHQkRBITtfjwPHrgMAZBIxk2tyC1uuiQJT0CXX586dw7p16zBs2DAsX77cujw2NhaLFy/GV199hTFjxjjdPikpCUlJSXbLX331VQDA5MmTHW43ZMgQxMbGVrP2RBSMbCeQYZJE7uGsnkSBKej6XO/cuROCIGDWrFk2y++//34olUrs2LHD433qdDp89dVXaNy4Mfr16+d0PY1GA6ORw2wRkS3bJCno2jSohjwwuA2endoZc8e1hyKEEw8RBYqgu8r//vvvEIvF6Nixo83ykJAQJCUl4eTJkx7vc/fu3dBoNJg5cyYkEscXuLFjx0Kr1UIikaBjx46YN28e+vfvX6VjIKLgoitiyzV5rmlDFZo2VPm6GkTkoaBLrnNychAREQG53H4s2ejoaBw9ehQGg8Hh585s3rwZIpEIkyZNsvusXr16mDp1Krp06YKwsDBcunQJq1evxhNPPIElS5Zg4sSJbpUhFosgFtfOrG0Sidjm/1SKcXGOsXHM3bjoyk0cE6aSQyoN/jjynHGMcXGOsXGMcXHMn+MSdMm1Xq93mjiHhIQAAIqKitxOri9evIgjR46gd+/eiIuLs/t89uzZdssmTZqEMWPGYOnSpRg+fDhUKtctD5GRqlqfEjksTFmr5QUKxsU5xsYxV3EpMd39c9PGYYiIqDutkTxnHGNcnGNsHGNcHPPHuARdcq1UKnHr1i2HnxUXFwMAFAqF2/vbvHkzAGDKlClubxMREYFp06Zh+fLlOHr0KPr27etym7w8ba22XIeFKVFYqIfJZK6VMgMB4+IcY+OYu3HJL9Rb/2wsLkF+vrY2qudTPGccczcuhhITfjubi1CFDI3CFWjSIPh/kPGccYxxccxXcXGncSTokuuoqCicP3/eYdeP7Oxsp11GHDEajfjPf/6D8PBwDB061KN6xMTEAADy8/PdWt9sFmA2Cx6VUV0mkxlGI7+oFTEuzjE2jrmKyx3d3T7XIVJJnYohzxnHXMUlt0CPD7f9DgDo1T4aj49pX1tV8zmeM44xLo75Y1z8r6NKNXXo0AFmsxknTpywWV5cXIwzZ854NPb0/v378eeff2Ls2LEe9dEGgMuXLwMAGjZs6NF2RBR8LOMVh4ZIa+0JFQU2mwlkOAwfUUAJuuR61KhREIlEWL16tc3yTZs2Qa/X24xxffXqVVy4cMHpvixdQpyNbW00GnHnzh275Tdu3MCGDRsQHh6OLl26VOUwiCiItGseieSWDZDEyWPITbYTyATdQ2aioBZ039jExERMnz4d69atw5NPPon+/ftbZ2hMSUmxSa5nz56NrKwsZGRk2O0nOzsbP/zwAzp27IjExESHZel0OgwePBhDhgxBy5YtUb9+fVy6dAlpaWnQ6XRYtmyZR/27iSg4PTTc8TWEyBmbiYfYck0UUIIuuQaAl156CTExMdi4cSMOHDiAiIgIzJgxA/Pnz6906vPytm3bBpPJVOmLjAqFAsOGDcOJEyfw3XffQafTISIiAn369MGjjz5qN9Y2ERGRO2wmHlIG5a2aKGiJBEGo3bfoyKHcXPvuJTVFKhUjIkKF/Hyt370E4EuMi3OMjWOMi3OMjWPuxmXHj5ew/cdLAICnJ3dEp9bB//4OzxnHGBfHfBWXRo3quVwn6PpcExERBTrblmt2CyEKJHzWRERUg05fzsOqL09DpZBiaI84DOgc4+sqUQDgC41EgYvfWCKiGnRHV4JCrQGFWgOKDSbXGxChwguNbLkmCijsFkJEVIN0RRz1gTwnFosgl5beokND2A5GFEj4jSUiqkEajvpAVfDUpNLRpkqMJkglbAcjCiT8xhIR1SCOV0zVIZNKfF0FIvIQk2siohrEF9OIiOoWJtdERDVIq+eQakREdQmbUYiIahBbrslTt7UGfPHdWagUMiTEhaNnu2hfV4mIPMArPRFRDdKVvdAol4nZf5bccltTjPQ/cgAAZkFgck0UYNgthIioBmnKWq75MiO5iy/BEgU2tlwTEdWgGUMTcUdvgFgk8nVVKEBoOXwjUUDjt5aIqAZ1S2zk6ypQgNFy4iGigMZuIURERH7EpuWayTVRwGFyTURE5EfK97lWs1sIUcDht5aIqIZo9CXIztdBpZChvkoOZQgvueRa+W4hoWy5Jgo4vNITEdWQjKsF+GDbSQDApP4tcV/v5r6tEAUEm4mHODY6UcBhtxAiohpi82IaZ2ckN/G8IQps/ElMRFRDOOoDVUX7FpEIV4dAV2yEXMo2MKJAw+SaiKiG8PE+VQW7DxEFNv4kJiKqIWy5JiKqe5hcExHVEJtprDmkGhFRncDkmoiohnAyEPKUIAi+rgIRVRObUoiIaoilW4hELIJCLvFxbSgQXL+lw2ufH4ZKKUXf5CaY1L+Vr6tERB5iyzURUQ2xvNAYqpBCJBL5uDYUCHRFJTCazLitMaDEaPZ1dYioCphcExHVEEvLNbuEkLtsRpjhGNdEAYndQoiIasj7T/eDrsgIg9Hk66pQgCg/woyawzcSBSR+c4mIaohUIkaYSu7ralAAKT/CTCifeBAFJHYLISIi8hOa8iPMcPhGooDE5JqIiMhPcOIhosDHn8VERDXgWo4Gh05nQ6WUol18JOIb1/N1lSgA2E48xOSaKBAxuSYiqgFXc+7g60NXAADTh0qYXJNbdOW6hfCFRqLAxG4hREQ1wGZINSZJ5CZLtxCRCFCE8LwhCkT85hIR1QCbvrN8vE9uemBwAvLuFKHYYIKYEw8RBSQm10RENUBbftQHvphGbmodWx9AfV9Xg4iqgd1CiIhqgG3LNdsxiIjqCibXREQ1wLbPNVuuiYjqCjanEBHVgPIt16F8MY3coC824nzWbagUMkSGhSBcHeLrKhFRFfCKT0RUAyzjFYeGSCEW88U0cu1mng7vbDoOABjcNRbThyX4uEZEVBVBmVybzWasWbMGGzZsQFZWFiIjIzFy5EjMnz8foaGhLrdPTEx0uDw0NBRHjx61W37x4kW89dZbOHz4MEpKStCuXTs89dRT6N27d7WPhYgCk+WFRva3JnfZTiDD84YoUAXlt3fJkiVYu3Ythg4dijlz5uDChQtYu3YtTp8+jdTUVIjFrruad+/eHffff7/NMpnMvt/k1atX8cADD0AikeDRRx+FWq1GWloaHn30UXz88cfo06eP146LiAJH65j6uKMzILweH+2TezTluxKxnz5RwAq65PrcuXNYt24dhg0bhuXLl1uXx8bGYvHixfjqq68wZswYl/uJi4vDuHHjXK63bNkyFBYWYuvWrWjbti0AYPz48Rg9ejRee+017N69GyKOVUpU58yf3NHXVaAAw4mHiIJD0I0WsnPnTgiCgFmzZtksv//++6FUKrFjxw6392UwGKDVap1+rtPpsG/fPqSkpFgTawBQqVSYPHkyLl++jJMnT3p+EEREVOdw4iGi4BB0P41///13iMVidOxo22oUEhKCpKQkt5Pdb775Bjt27IDJZEJkZCRGjRqFv/71r6hXr551nYyMDBgMBnTu3Nlue8uykydP2tXFEbFYVGsvPUkkYpv/UynGxTnGxjHGxTnGxrHK4qIvvttyXV8lh1Rat2LHc8YxxsUxf45L0CXXOTk5iIiIgFwut/ssOjoaR48ehcFgcPi5RceOHTFixAjEx8dDo9Hg4MGDWLduHdLT07FhwwaoVCprWZb9OioLALKzs92qd2Skqta7j4SFKWu1vEDBuDjH2DjGuDjH2DjmKC4l5rt/bhIdhogIVS3WyH/wnHGMcXHMH+MSdMm1Xq93mjiHhJS+WFRUVFRpcp2Wlmbz9/HjxyMxMRHvvPMO1qxZg3nz5lnLAuBwX5ayLOu4kpenrdWW67AwJQoL9TCZzK43qCMYF+cYG8ecxeW3s7nYuPcc1EoZRvaKR/ekKB/W0jd4zjhWWVzyb9+9X5hLjMjPd94tMRjxnHGMcXHMV3Fx50dv0CXXSqUSt27dcvhZcXExAEChUHi830ceeQQrVqzAwYMHrcm1Uln6a8lgMDgty7KOK2azALNZ8Lhe1WEymWE08otaEePiHGPjWMW43LpdhBu3dACAfrqSOh0znjOOOYrLnXJD8cml4jobN54zjjEujvljXPyvo0o1RUVFIT8/32HCm52d7bTLiCsymcy67/JlWfbrqCzAcZcRIgpuHK+YqqKkrF9IiFwCqR/2IyUi9wTdVb9Dhw748ccfceLECXTv3t26vLi4GGfOnLFZ5oni4mJkZ2ejU6dO1mUJCQmQy+U4duyY3fqWZR06dKhSeUQUuGxGfeB4xeSmvz/cA0aTGbpyLzYSUeAJup/Go0aNgkgkwurVq22Wb9q0CXq93maM66tXr+LChQs265VvmS7v3XffhdFoxMCBA63LVCoVBg4ciPT0dJw5c8a6XKvVYvPmzWjevLlbI4UQUXDheMVUVVKJGGGhnj9dJSL/EXRX/cTEREyfPh3r1q3Dk08+if79+1tnaExJSbFJrmfPno2srCxkZGRYl61cuRLHjx9Hz5490aRJE+h0Ohw8eBC//PILOnXqhJkzZ9qU9+yzz+LQoUOYM2cOZs+eDZVKhbS0NGRnZ+Ojjz7iBDJEdRDHKyYiqruCLrkGgJdeegkxMTHYuHEjDhw4gIiICMyYMQPz5893OfV5SkoKLly4gG3btqGgoAASiQTx8fF45pln8PDDD1tHAbGIj4/HF198gbfeegurVq1CSUkJ2rVrh08++YRTnxPVUTZ9rtlyTURUpwTlVV8ikWDOnDmYM2dOpevt27fPbtmQIUMwZMgQj8pr1aoVVq5c6dE2RBS8tEWl3ULkMjFkUomPa0OBILdAj12HrkCllCGxWTg6tGjg6yoRURUFZXJNRORLlm4hfJmR3PVngR4Hjl0HAJgFgck1UQALuhcaiYh8zdJyzeSa3GU5ZwBAzfOGKKCx5ZqIyIvMgoAHh7SBtsiI0BBeYsk9Gr4ESxQ0eOUnIvIisUiE/p1jfF0NCjC6Ig7fSBQs2C2EiIjIx2xHmGHLNVEgY3JNRETkYxwbnSh48NkTEZEXafQluKMzQKWUQaWQQuJibH0igLN6EgUTfoOJiLzo6NlcfL7rDADgoRGJGMD+1+QGm5ZrdgshCmhsUiEi8iKtzYtpTJLIPZqylmupRAS5jLdmokDGlmsiIi+ybYHkJZbck9QsHBH1QgAAIpHIx7UhourglZ+IyIs46gNVxYNDE3xdBSLyEj57IiLyIk35biFKtl8QEdU1TK6JiLxIxxfTiIjqNCbXREReZBlSTSIWQSGX+Lg2RERU2/jMkojIiywvNKoUUr6YRm45n3UbH2w9iVCFFAO6xGBo9zhfV4mIqoHJNRGRF1mS61B2CSE3aXQluK014LbWgKJio+sNiMivsVsIEZGXGE1m6ItNAPgyI7mPU58TBRde/YmIvEQiFuHd+X1thuMjcoXDNxIFFybXREReIhKJEBYqR1io3NdVoQBiM3wjJx4iCnjsFkJERORD7BZCFFyYXBMREfmQbbcQtlwTBTp+i4mIvOTKzTs4dTkPKoUUSfERiI4I9XWVKABobWb1ZMs1UaBjck1E5CVnrxVg84ELAIDHxrRjck1usczqKQKgDOFtmSjQsVsIEZGXcNQHqgrLrJ6hCinEnHiIKODxJzIRkZfobB7v8/JK7pk6uDVuawwQBMHXVSEiL+DVn4jIS8qP+qBmyzW5qUubRr6uAhF5EbuFEBF5CV9MIyIiJtdERF5Svs91KF9MIyKqk3j1JyLyEstMe8oQKcRivphGrumKSnAjTwe1QoYwlZyjhRAFAX6LiYi8xNJyzYlAyF0Xrxfi7U3HAQBj72mO8f1a+rhGRFRd7BZCROQFgiBYRwthf2tyl6bcS7ChfAmWKCiweYWIyAtKjGa0bBoGbVEJosKVvq4OBQjLGNcAn3gQBQt+k4mIvEAuk+Clmd18XQ0KMOWHb+QTD6LgwG4hREREPlK+5ZpjoxMFBybXREREPqKzabnmw2SiYMDkmoiIyEdsJh5iyzVRUODPZCIiL/jldDa++zUTKqUMI3s2Q2KzCF9XiQKA7WghvCUTBQO2XBMReUFugR4XrhfixIVb1iH5iFyxjI0eIpdAKuEtmSgYBOXPZLPZjDVr1mDDhg3IyspCZGQkRo4cifnz5yM0NLTSbS9duoQdO3bgp59+wtWrV1FcXIxmzZphxIgRmDVrlt32y5cvx4oVKxzu6/nnn8cjjzziteMiIv/FUR+oKizdQtRstSYKGkH5bV6yZAnWrl2LoUOHYs6cObhw4QLWrl2L06dPIzU1FWKx89aBLVu2YP369Rg0aBDGjBkDqVSKX375Be+++y527dqFTZs2QaFQ2G334osvIiLC9jFwhw4dvH5sROSfyo/6wMf75K63/tIHuiIjiktMvq4KEXlJ0N0Bzp07h3Xr1mHYsGFYvny5dXlsbCwWL16Mr776CmPGjHG6/fDhw/HEE0+gXr161mUPPPAA4uPj8e9//xubN2/GjBkz7LYbMmQIYmNjvXswRBQwbFqu+WIauUkqESNMJfd1NYjIi4Kug9fOnTshCAJmzZpls/z++++HUqnEjh07Kt0+OTnZJrG2GDVqFADg7NmzTrfVaDQwGtnXkqgusvSdBTjTHhFRXRZ0d4Dff/8dYrEYHTt2tFkeEhKCpKQknDx5skr7vXnzJgCgYcOGDj8fO3YstFotJBIJOnbsiHnz5qF///5VKouIAo+l76xcKoZcJvFxbYiIyFeCLrnOyclBREQE5HL7x2zR0dE4evQoDAaDw8+dMZlMWLlyJaRSKUaPHm3zWb169TB16lR06dIFYWFhuHTpElavXo0nnngCS5YswcSJE90qQywWQSwWuV2n6pCUvZEu4ZvpNhgX5xgbx8rHRVdcmlyrlDJIpYwTzxnHysfl+p9a/HjiBlRKKdrGR6Bl0/o+rp1v8ZxxjHFxzJ/jEnTJtV6vd5o4h4SEAACKioo8Sq6XLFmCo0eP4m9/+xtatmxp89ns2bPt1p80aRLGjBmDpUuXYvjw4VCpVC7LiIxUQSSqneTaIixMWavlBQrGxTnGxrGwMKW1W0h9dQgiIlx/5+sKnjOOhYUpUXA5Hzv/exkAMPu+dujWvqlvK+UneM44xrg45o9xCbrkWqlU4tatWw4/Ky4uBgCHo3048+6772LdunWYOnUqnnjiCbe2iYiIwLRp07B8+XIcPXoUffv2dblNXp62Vluuw8KUKCzUw2Qy10qZgYBxcY6xccwSlz9vaWAwlsZFIRMjP1/r45r5Hs8Zx8rHJTtXY10uhlDnzxueM44xLo75Ki7uNJ4EXXIdFRWF8+fPO+z6kZ2d7bTLiCPLly/HypUrMXHiRLz22mse1SMmJgYAkJ+f79b6ZrMAs1nwqIzqMpnMMBr5Ra2IcXGOsXHMaDJjysBW0OqNaBAWwhiVw3PGMZPJjDs6g/XvSrmEcSrDc8YxxsUxf4yL/3VUqaYOHTrAbDbjxIkTNsuLi4tx5swZt8eetkwOM2HCBLz++used9m4fPkyAOcvQBJR8AiRSTCyZzwmD2iFgV05JCe5h8M3EgWnoEuuR40aBZFIhNWrV9ss37RpE/R6vc0Y11evXsWFCxfs9rFixQqsWLEC48aNw5IlS5xOOmM0GnHnzh275Tdu3MCGDRsQHh6OLl26VPOIiIgoGJWfeIizehIFj6DrFpKYmIjp06dj3bp1ePLJJ9G/f3/rDI0pKSk2yfXs2bORlZWFjIwM67L169dj+fLlaNq0Kfr06YMvv/zSZv8NGzbEPffcAwDQ6XQYPHgwhgwZgpYtW6J+/fq4dOkS0tLSoNPpsGzZMo/6dxMRUd1h23IddLdjojorKL/NL730EmJiYrBx40YcOHAAERERmDFjBubPn1/p1OcArONgX79+HS+88ILd5ykpKdbkWqFQYNiwYThx4gS+++476HQ6REREoE+fPnj00UftxtomouCkKzKiqNiIUIUUUj8cFor8k+3EQ2y5JgoWIkEQavctOnIoN9e+e0lNkUrFiIhQIT9f63cvAfgS4+IcY+OYJS7rvz6NDXvPAQD+Mr4DuidF+bhmvsdzxrHycVm06hAyczSQSkT4aMGAWh+O1d/wnHGMcXHMV3Fp1Mh+Fu+K2MRCRFRN5VsglXy8T26ydAtRKWR1PrEmCia8CxARVZOmXN9ZNR/vk5taNglDhLqYLzMSBRkm10RE1WTbd5aXVXLPXyYk+7oKRFQD2C2EiKiaNBxSjYiIyjC5JiKqJl1ZtxCxSASFXOLj2hARkS8xuSYiqiZNWbcQlVLKF9OIiOo4dg4kIqomy6gPoXyZkdz0+8VbWPtNBlQKGYZ0j0VK22hfV4mIvIQt10RE1WA0maEvNgEA1HyZkdxUoCnGjVs6nM+6bX3yQUTBgck1EVE12IwUwpcZyU02L8HyiQdRUGEzCxFRNaiVMrwxrzcKtQbIOPU5uYnDNxIFL36jiYiqQSIRo0kDFRrVV/q6KhRAtEV84kEUrNjMQkREVMs0bLkmClpMromIiGqZlhMPEQUt/lwmIqqGc5n5OHk2Bwq5FG1i6yNcHeLrKlEAsHQLEQFQhvBWTBRM+I0mIqqGw6ez8cWeDADAX6d0ZHJNbrG80BiqkELMiYeIggq7hRARVcMdncH6Zw6pRu7SFJV2C2GXEKLgw5ZrIqJq0HCca6qCaYNa47bWALmUbVxEwYbJNRFRNWh0HPWBPNe/SwyMRrOvq0FENYA/mYmIqqF8t5BQJtdERHUek2siomrQlCXXyhAJJGJeUomI6rpqN7OcP38emzZtwokTJ5Cfn4/Bgwfj+eefBwD89ttv+P333zF27FiEh4dXtygiIr9zp6xbCF9mJHdp9SW4cUuLEJkEKoWUP8qIgky1kuvPP/8cy5Ytg9FY+tazSCRCfn6+zTpLly6FXC7HtGnTqlMUEZHfMQuCteWayTW568iZbPxr3REAwLTBbTCsR5yPa0RE3lTln8sHDhzAG2+8gcaNG2PFihX473//C0EQbNbp2rUrIiMjsXfv3mpXlIjI3xQVm2Auu+yplOxvTe65w5dgiYJalb/Vn3/+OZRKJT7//HPExTn/1Z2UlIRLly5VtRgiIr9lMJoQF61GocaAMJXc19WhAKHh2OhEQa3KyfWpU6fQuXPnShNrAIiIiMCRI0eqWgwRkd8KV4fgw+cHIz9fy2HVyG02Ldd84kEUdKrcLaSkpAQqlcrlenl5eZBIJFUthoiIKKhwVk+i4Fbl5Do2NhZnzpypdB2DwYCMjAw0b968qsUQEREFFS1n9SQKalVOrgcNGoSsrCx8/vnnTtf55JNPkJeXh2HDhlW1GCIioqBi23LNbiFEwabK3+pHH30UX375Jd58800cP34cQ4cOBQDcunUL3377Lb799lt8+eWXiI2NxfTp071WYSIif/Hjies4cvZPhEjFGJHSDLFRal9XiQKApc91iEwCqYRjXBMFmyon1/Xr18fnn3+O+fPnY/fu3fjmm28AAD/88AN++OEHCIKA1q1b44MPPoBazRsOEQWfzBwtjpzJAQDc26mpj2tDgcI6NjpfZiQKStX6Zrdo0QL/+c9/sG/fPvz000/IysqC2WxG48aN0adPHwwfPpwvMxJR0LLpO8vH++QGQRA4qydRkKv23UAsFmPIkCEYMmSIN+pDRBQwtEV3k+tQJkrkps9fGYbr2bdhMJh8XRUiqgFsaiEiqiINW67JQyKRCOH1QiAYVRwbnShIVflucPjwYY/W79GjR1WLIiLyS5ZuIXKpGHIZu8AREVE1kuuZM2dCJBK5vf4ff/xR1aKIiPyStsgIgGMVExHRXVVOrsePH+8wuTabzbhx4wZOnz4NjUaDwYMHIywsrFqVJCLyR5aWazWTa3LTtRwN9h29DpEgoHVMGJo0cD3TMREFlion1//85z8r/fz27dt45ZVXcPbsWWzcuLGqxRAR+SVDiQmGsj6z7G9N7jqfdRupX5U+yZ01IpHJNVEQqrHR6+vXr4833ngDGo0Gy5Ytq6liiIh8wtIlBGC3EHKf7fCNPG+IglGNTg2lVCqRnJyMffv21WQxRES1TiYVY0yf5hjRuzmSWzbwdXUoQPBHGVHwq/FnmTqdDoWFhTVdjA2z2Yw1a9Zgw4YNyMrKQmRkJEaOHIn58+cjNDTU69sfPHgQK1euxJkzZyCXy9GrVy8899xziIuLq4nDIyI/oFbKMGVQa0REqJCfr+WwauQWTjxEFPxqtOV63759+PXXX9G8efOaLMbOkiVLsHTpUrRu3RqvvPIKRowYgbVr12Lu3Lkwm13fAD3Zfs+ePXjiiSdQVFSE5557Do888gh+/fVXPPDAA8jOzq6pQyQiogCkKTfxEF+EJQpOVf7Z/OKLLzr9TKfT4fLlyzh79iwEQcCcOXOqWozHzp07h3Xr1mHYsGFYvny5dXlsbCwWL16Mr776CmPGjPHK9iUlJfjHP/6BJk2aYP369VCpSl9MuffeezFx4kSsWLEC//jHP2roSImIKNCUb7kOZcs1UVCq8jd727ZtLtdp2rQp/ud//gfjx4+vajEe27lzJwRBwKxZs2yW33///Vi2bBl27NhRaXLtyfaHDx9GTk4O5s+fb02sAaBt27ZISUnB119/jVdffRUyGVsniIJNcYkJcH+ofyIAd2f1lIhFCOHEQ0RBqcrJ9Zo1a5x+JpPJ0KhRI8TGxlZ191X2+++/QywWo2PHjjbLQ0JCkJSUhJMnT3pte8ufu3TpYrefzp0749ChQ7h8+TLatGlT1cMhIj+187+X8dXPV6CQS/DstM5o1bS+r6tEAUCrL32hUa2UeTQRGxEFjion1ykpKd6sh9fk5OQgIiICcrnc7rPo6GgcPXoUBoPB4eeebp+Tk2NdXlFUVBQAIDs7263kWiwWQSyunQutRCK2+T+VYlycY2zs6YtLk6QigwlKhQxSKWNTHs8Zx7Rlfa5VSp4zFfGccYxxccyf4xJ0Hb70er3TxDkkJAQAUFRU5HQdT7bX6/UA4HD98uu6IzJSVeutGGFhylotL1AwLs4xNncZTIL1z40b1UNEhOuRiOoinjN3mc0CWjStjzs6A5o2VCMighPIOMJzxjHGxTF/jEvQJddKpRK3bt1y+FlxcTEAQKFQeGV7pbL0H9RgMFSprPLy8rS12nIdFqZEYaEeJhOHD7NgXJxjbOzlF9794SyYTMjP1/qwNv6H54xjL8/qbo0LzxlbPGccY1wc81Vc3PlR7HZy3bZt2ypXRCQS4fTp01Xe3hNRUVE4f/68w64f2dnZTrt8VGX78l0/WrVqZbNuZV1GHDGbBZjNgusVvchkMnNsXgcYF+cYm7ssL6aJxSLIJSLGxQmeM44xLs4xNo4xLo75Y1zcTq6bNGlSk/Xwmg4dOuDHH3/EiRMn0L17d+vy4uJinDlzxmZZdbdPTk4GABw9ehR9+vSx2c+xY8egVqtrfYxvIqodliHV6oVaXkyr3R/HRETkn9xOrgNlCvNRo0bho48+wurVq20S4U2bNkGv19sMw3f16lWUlJTYtDp7sn2PHj3QqFEjbN68GbNnz7YOx3fmzBmkp6dj4sSJHIaPKEhZprFWK50/CSMioron6PpcJyYmYvr06Vi3bh2efPJJ9O/fHxcuXMDatWuRkpJikxzPnj0bWVlZyMjIqNL2MpkMixYtwjPPPIPp06djypQp0Gq1SE1NRWRkJObPn1+rx05EtcNkNltHC1GH8gc0uefo2VzsSr+K8HoKDOrSFEnNInxdJSKqAUGXXAPASy+9hJiYGGzcuBEHDhxAREQEZsyYgfnz50Msdj1kiyfbjxw5EgqFAitXrsSbb74JuVyO3r17Y8GCBW73tyaiwKIra7UGgHqhbLkm9+TeLsL5a7cB3EaPxEa+rg4R1RCvJNcajQaZmZnQarUQBMf9Dnv06OGNotwikUgwZ84cl9OuO+vq4u72FgMHDsTAgQM9ricRBSZtueSaLdfkrvJTn6uUPG+IglW1kuuzZ89iyZIlSE9Pd5pUW/zxxx/VKYqIyG9E1gvByw91R1GJEU2jw3xdHQoQlglkAEClCMoHx0SEaiTXly9fxoMPPgiNRoOuXbsiNzcX165dw6hRo3Dt2jWcOnUKJpMJgwYNQlgYbz5EFDzkMglaNg2DVCpGRISK4xWTW2yeeLDlmihoVTm5XrlyJbRaLZYuXYoJEybgxRdfxLVr17Bs2TIAwJUrV7Bo0SKcP38emzZt8lqFiYiIAhG7hRDVDVWekP3QoUNo1aoVJkyY4PDz+Ph4fPjhh8jPz8d7771X5QoSEREFA0u3EJEICA1htxCiYFXl5PrWrVs240NLpaUXCsu03wAQFhaGlJQUHDhwoOo1JCLyM5dvFuLwmRycupRn0xpJVBlLtxCVQgaxWOTj2hBRTalych0eHg6DwWD9e/369QEAWVlZduveunWrqsUQEfmd/568iZXbf8cb639DZs4dX1eHAsTdWT05fCNRMKtych0bG4vr169b/962bVsIgoCvv/7auiwvLw/p6ekBM3U6EZE7yo/6wESJ3GEWBOv46CoO30gU1Krc6euee+7BypUrkZWVhZiYGAwcOBARERH48MMPceHCBURHR2PPnj24c+cOpk+f7s06ExH5VMVRH8wlxkrWJgLMZgGTB7SCzmBEk0b1fF0dIqpBVU6ux40bB4PBgFu3biEmJgahoaF4++238de//hW7du2yrnfPPfdg3rx5XqksEZE/KN9yrVbKUMjkmlyQSsQY2SuewzcS1QFVTq6bNWuGZ5991mZZ7969sX//fvz6668oLCxE8+bN0aFDh2pXkojIn2j1pcm0MkQCiaTKveuIiCgIVTm5fuONNzBu3DgkJSXZLA8NDcW9995b7YoREfkrS8u1SsG+s0REZKvKTS6ff/45JkyYgPvuuw8fffSRw1FCiIiCjSAI1pZrzrJH7tIXG1GoNcBoMvu6KkRUw6qcXC9atAjJycm4cOEC3nnnHQwZMgTTp0/Hhg0bcPv2bW/WkYjIbxQZTDALAgDOskfu+/nUTfx1+Y+Ys3Qf9v2a6evqEFENqnK3kJkzZ2LmzJnIzMzEf/7zH3z55Zc4cuQIfvvtN7z++uvo168fxowZg8GDB0Mu51BVRBQcyr/MyOSa3GUz9bmCszMSBbNqv4kTFxeHJ598Et988w02b96MmTNnon79+ti3bx/+9re/oU+fPnjxxRe9UVciIp8zlJhRXy2HVCKCmkkSuclm+EaOjU4U1Lx6Z+jQoQM6dOiAhQsX4tChQ9iyZQu++uorbN++HUuXLvVmUUREPtG0oQrvPNkXgiBALOEU1uSe8i3X9TiJDFFQq5ExpA4fPoxdu3bhxx9/rIndExH5nEgkgkTMYfjIPeVbrjmrJ1Fw81rL9R9//IEdO3bg66+/Rk5ODgRBgEqlwvjx4zFmzBhvFUNERBRwbCYeCpVBc8fkw9oQUU2qVnKdmZmJnTt3YufOnbh48SIEQYBUKkX//v0xduxYDB48GCEhId6qKxERUUCytFyHyCSQSSU+rg0R1aQqJ9dTp07FiRMnIJQNSdWlSxeMGTMGo0aNQnh4uLfqR0TkV74/fh1/XMmHSiHF6D7NERGh8nWVKABY+lxzpBCi4Fflb/nx48fRsmVLjBkzBmPGjEFsbKw360VE5JcuZN3GL6ezAQBDusf5uDYUCARBuDurJ4dvJAp6VU6ut27dinbt2nmzLkREfq/8i2lMlMgdhhIzjKbSp7yc1ZMo+FU5uWZiTUR1EScDIU/JpGIsebwXtPoShMjZ35oo2PHOQETkAcvjfZlUDLmMiRK5JhaL0DgyFAAglXL4RqJgx285EZEHLN1C2GpNRESOMLkmIvIAX0wjIqLKsOmFiMhNJUYTDCVmAIBKweSa3HM1+w4u3iiEWiFDQrNwDt9IFOSYXBMRuclmpBB2CyE3nbqUh7QDFwAAT05KRqv4Bj6uERHVJHYLISJyk+1IIWy5Jvdoyk99zvOGKOix6YWIyE0hcgkGdImBrqgELWPCfF0dChA6jo1OVKcwuSYiclPD+ko8NDzR19WgAGPzxIPJNVHQY7cQIiKiGsS++kR1C5NrIiKiGmRpuZaIRVBwhkaioMfkmojITWZB8HUVKABZx0ZXSCESiXxcGyKqaXw+RUTkpnV7zuK/v9+ASiHD36Z2Rnzjer6uEgUAjWVWT/a3JqoTmFwTEblJqy+BocQMQ0kx5FI++CPXjCYzig0mABy+kaiuYHJNROQmbRHHuSbPGEpMaNIgFNoiI8JUcl9Xh4hqAZNrIiI3afWlj/fFIhGUIXwxjVwLVcjw+mO9fF0NIqpFfK5JROQmS8t1KF9MIyIiJ4Ky5Xr79u1ITU3FxYsXoVarMXDgQDz77LOIjIx0uW12dja2b9+OH374AZcvX4ZGo0FMTAzuvfdePP7444iIiLBZf+vWrXjxxRcd7mv69Ol49dVXvXJMROR7Wr6YRkRELgRdcp2amoqlS5ciJSUFixYtws2bN5Gamopjx44hLS0NoaGhlW6/b98+LF++HAMGDMAjjzwClUqFEydOYM2aNfj666+xefNmNGrUyG67uXPnomXLljbLWrRo4dVjIyLfMZnN0BeXJdecCISIiJwIqjtEXl4e3n33XSQnJyM1NRUSSWmfyOTkZMybNw9r1qzB3LlzK91H9+7dsX//fpsE+v7770enTp3w8ssv47PPPsMLL7xgt12fPn3Qs2dP7x4QEfkNnc0se2y5Jvek/5GN//5+E6EKKYb1iEPr2HBfV4mIalhQ9bneu3cv9Ho9ZsyYYU2sAWDQoEGIi4vDjh07XO6jTZs2DlumR44cCQA4e/as0201Gg0MBkMVak5E/s5mCmtlULVLUA26/qcWJy7cwqFT2dDoSlxvQEQBL6juECdPngQAdOnSxe6zTp064auvvoJWq4VKpfJ439nZ2QCAhg0bOvx83rx50Gq1EIlESEhIwCOPPIJx48a5vX+xWASxuHZekJJIxDb/p1KMi3OMDVBUNlYxANQLlUMqFTMulWBsSumK7/4oC1PLGZdKMDaOMS6O+XNcgiq5zsnJAQBER0fbfRYdHQ1BEJCTk1OlvtDvv/8+AGD8+PE2yxUKBUaPHo1evXqhQYMGuHbtGtavX4/nn38emZmZePLJJ93af2SkqtZHHwgLU9ZqeYGCcXGuLsemrUKO1x7vDY3OgMYNVIiIuPsjvS7HxZW6HpuSu7/J0CQ6zBqPuh6XyjA2jjEujvljXPwyuS4sLMTq1avdXn/mzJkIDw+HXq8HAMjl9gP1h4SEAACKioo8rs9nn32G3bt3Y+rUqejdu7fNZ6NGjcKoUaNslk2bNg2TJk3CypUrMX78eMTGxrosIy9PW6st12FhShQW6mEymWulzEDAuDjH2JRqEaUCUJpU5+drGZdKMDal8gv11j+bDEYUFuoZFyd4zjjGuDjmq7iUb1hxxm+T6xUrVri9/tixYxEeHg6lsvTXi8FggEKhsFmnuLgYAOyWu5KWloY333wTAwYMwCuvvOLWNnK5HHPmzMHChQvx008/YerUqS63MZsFmM2CR3WrLpPJDKORX9SKGBfnGBvHGBfn6nps7pT1sxYBkEvE1iSgrselMoyNY4yLY/4YF79MrmNjY5GRkeHxdlFRUQBK+0fHx8fbfJadnQ2RSGRdxx2bN2/GK6+8gnvuuQfLly+HTOb+CAExMTEAgPz8fLe3ISKi4FJ+4qHaejpJRL7lf73AqyE5ORkAcPToUbvPjh8/jhYtWrj9MuPmzZvx8ssvo0+fPvjwww8ddjWpzJUrVwAADRo08Gg7IvJPV27ewalLebh8sxAlRpPrDYhwdwhHDt9IVHcEVXI9ePBgKBQKrF+/HibT3Zvfvn37kJmZiTFjxtisf/36dVy4cAElJbbDI23duhWvvPIKevXqhQ8//NDaX9sRRy3Td+7cwccffwyZTIZ+/fpV86iIyB/sOXwVyzYew/9L/RV/3vb83Q2qe8yCYG255vCNRHVHUH3bIyMj8fTTT+ONN97A7NmzMXr0aGRnZ+Pzzz9Hy5YtMWvWLJv1X3jhBaSnp2Pv3r3Wlw737t2LRYsWQa1WY9SoUfjmm29stlGpVBgyZIj172PGjEFKSgoSEhKso4Vs2bIFubm5WLhwIRo3blzzB05ENc52nGu2QpJrRcVGCGWv0oSy5Zqozgiq5BoA5syZg/DwcKSmpmLx4sVQq9UYMWIEFixY4FaXkNOnT8NsNqOwsNDhC4wxMTE2yfXo0aORnp6On376CRqNBmq1Gh07dsTSpUvZak0URCwtkACnPyd3iXBf73ho9SVo3MDz+RWIKDCJBEGo3SEqyKHc3Du1VpZUKkZEhAr5+Vq/e8PWlxgX5xgb4KVVh3AzTwdliAQfPNMfAONSGcbGMcbFOcbGMcbFMV/FpVGjei7XCao+10RENcU66kMIH+8TEZFzTK6JiFwQBAFafdmoD3wxjYiIKsHkmojIhSKDCeayHnQcUo3cZSgxwcgZ9YjqHDbBEBG5oNWXe5mRI4WQm745nIlt319EiFyC/5nQAR1acN4DorqALddERC6UH4ZPzZFCyE2WH2XFBhPkUomPa0NEtYXJNRGRC8UlJkglpZdLtlyTu2yGb+R5Q1RnsAmGiMiFhLhwrHpuAAwlJnDwUnKX5SVYgE88iOoSftuJiNwkl/HRPrlPV67lmjM0EtUd7BZCRERUAyx99UNkEsikvN0S1RX8thMREdUAjWXiIXYJIapT+I0nInLhwLEsZOZooFLIMLR7LOqFyn1dJfJzNhMPsUsIUZ3C5JqIyIXfL+bht7O5AICBXWJ8XBsKBAaj2TqBjJqzehLVKewWQkTkQvlJZPiIn9xhM/EQW66J6hTeJYiIXLCMVyyViCHni2nkhnqhcrz8UHdoi0r4g4yojuE3nojIBcuoDyqlFCKRyMe1oUAgk4rRsmmYr6tBRD7AJhgiIhcsj/jVfLxPREQuMLkmIqpEidEEg7H0xTQVH+8TEZELvFMQEVXC0iUEAFRKtlyTe65m30F2vh4qhRTxjevxpUaiOoTJNRFRJTjqA1VF+h85+PrQFQDAc9M6o23zSB/XiIhqC7uFEBFVonzLNUd9IHfpisr9KOMTD6I6hXcKIqJKKEOkSGkbBW2RETGNVL6uDgUITfnuRHziQVSnMLkmIqpEXJQac8d18HU1KMDYdCfiDI1EdQq7hRAREXmZZeIhiViEEJnEx7UhotrE5JqIiMjLtPqyiYcUnHiIqK5hck1ERORllpZrvsxIVPewIxgRUSU+3Xkapy7nQaWU4dmpnRGuDvF1lcjPGU1mFBlMAPgyI1FdxOSaiKgSBZpiFGgMKNAYIJey7yy5pisuP1IIb7NEdQ27hRARVcIypJpYJIIyhMk1uVZsMKG+Sg6pRMRuIUR1EH9SExFVwjIZSChfTCM3NQpX4p2n+kIQBJgFwdfVIaJaxuSaiKgS1lEf2AJJHhKJRJDwBxlRncNuIURETpjNgrX/rJp9Z4mIyA1MromInCj/YlooR30gIiI3sCmGiMgJTmFNVfHzqZs4eeEWQhVSDO0eh+jIUF9XiYhqEe8WREROaIrKJddsuSY3XbxeiEOnswEAfTo08XFtiKi2sVsIEZETlpcZAY5XTO7T2vwo43lDVNfwW09E5ESzaDXmjmsPrb4E8Y3DfF0dChA2P8o4ygxRncPkmojIiXB1CFLaRvu6GhRgyrdch4bwNktU17BbCBERkRdZXoQNDZFCLOY410R1TdD+pN6+fTtSU1Nx8eJFqNVqDBw4EM8++ywiIyPd2n7QoEHIyspy+NnPP/9st5/s7GwsW7YM33//PXQ6HVq3bo3HHnsMI0eOrPaxEBFR4NAWWSYeCtpbLBFVIii/+ampqVi6dClSUlKwaNEi3Lx5E6mpqTh27BjS0tIQGuresEgtW7bE3Llz7Zar1WqbvxcUFODBBx9EXl4eZs+ejcaNG2Pnzp3461//Cp1Oh0mTJnnluIiodl3L1aDEaIZKIUXD+kq2QpJLZkGwdgvhCDNEdVPQJdd5eXl49913kZycjNTUVEgkEgBAcnIy5s2bhzVr1jhMmB1p2LAhxo0b53K9VatW4dq1a1i5ciUGDRoEAJg8eTKmTp2KN998EyNGjIBKpar6QRGRT2w+cAEnLtwCALw7vy/CQuU+rhH5u6JiEwSh9M98mZGobgq6Ptd79+6FXq/HjBkzrIk1UNrNIy4uDjt27PBof0ajERqNptJ1du7ciWbNmlkTawCQSCSYMWMGCgoKcPDgQc8Ogoj8gq6IQ/GRZzgMHxEFXXJ98uRJAECXLl3sPuvUqRMuXrwIrVbr1r6OHz+Ozp07o1u3bujevTteeOEFZGdn26yTk5OD7OxsdOrUyW77zp0729SJiAKLJVFShkggEQfd5ZJqgFQixoAuMeiRFIXWMfV9XR0i8oGg+1mdk5MDAIiOth8+Kzo6GoIgICcnBy1atKh0P61bt8bkyZPRqlUrGI1G/PLLL9i8eTN+/vlnpKWlWffvqrzy61RGLBbVWn9OiURs838qxbg4V1djY30xTSGDVGp/7HU1Lu6oq7FpFKHEnPvaOv28rsbFHYyNY4yLY/4cF79NrgsLC7F69Wq31585cybCw8Oh1+sBAHK5fd/IkJAQAEBRUZHL/a1atcrm7/fddx969OiBBQsWYPny5Vi8eLHNviorz1KnykRGqiAS1e7LUmFhylotL1AwLs7VpdgIgmAdUi1MHYKICOfvTdSluHiKsXGMcXGOsXGMcXHMH+Pi18n1ihUr3F5/7NixCA8Ph1JZGmSDwQCFQmGzTnFxMQDYLXfXmDFj8M477+DAgQPWZZZ9GQwGu/Ut5VnqVJm8PG2ttlyHhSlRWKiHyWSulTIDAePiXF2Mjb7YCJO59M00hUyC/Hz77mR1MS7uYmwcY1ycY2wcY1wc81VcKmtosfDb5Do2NhYZGRkebxcVFQWgdNzp+Ph4m8+ys7MhEoms61RFTEwMjh496rC8iizL3CnPbBZgLruR1xaTyQyjkV/UihgX5+pSbG5riq1/DlVIKz3uuhQXT9W12JgFAWI3nkLWtbh4grFxjHFxzB/j4n8dVaopOTkZAGwSYIvjx4+jRYsW1RoW7+rVq2jQoIH171FRUYiOjsbx48ft1j127JhNnYgocJQfKUTNUR/ITZv2ncfcZQfw7Ac/4fLNQl9Xh4h8IOiS68GDB0OhUGD9+vUwmUzW5fv27UNmZibGjBljs/7169dx4cIFlJTcHT6poKDA4b7Xr1+PmzdvYuDAgTbL77vvPly9ehX79u2zLjOZTFi3bh3CwsJw7733euHIiKg2WfpbAxyvmNynLSqBocSM/DvFkPnhi1ZEVPOCrjkmMjISTz/9NN544w3Mnj0bo0ePRnZ2Nj7//HO0bNkSs2bNsln/hRdeQHp6Ovbu3YvY2FgApVOnb9myBX379kVsbCyMRiPS09Px3XffoVmzZpg/f77NPh5//HF88803ePbZZ/Hwww8jOjoaO3fuxMmTJ7F48WK7GR2JyP9pbca4ZnJN7tHqy503/FFGVCcFXXINAHPmzEF4eDhSU1Otye2IESOwYMECt7qEJCcn49ChQ9i1axfy8vIgCAJiY2Px2GOP4fHHH0dYWJjN+hEREfjiiy/w1ltvYf369dDpdGjdujXeeecdjBo1qqYOk4hqUPekKPz72f7QFhkRImMLJLlHx0lkiOq8oP3mT5w4ERMnTnS53tq1a+2WdevWDd26dfOovOjoaPzrX//yaBsi8m9ymQRymcT1ikRlLE885DIxZFKeO0R1EZtjiIiIvERT1nLNrkREdReTayIiIi8onXjIMqtn0D4YJiIX+O0nInLgwLEs5BUWQaWQYWCXGHYPIZcMRjOMZZNZsOWaqO5ick1E5ED66WycuVoAABjYJca3laGAwOEbiQhgtxAiIoc0ZY/3pRIxW63JLbbDN7Ltiqiu4refiMgBreXFNCUvk+SehvUV+Nv9naApKkHDMKWvq0NEPsK7BhGRA5bkWs2+s+QmZYgUHVo28HU1iMjH2C2EiKiCEqMZhhLLi2lsgyAiIvcxuSYiqsBmlj2+mEZERB5gkwwRUQUamxfTmFyTezJzNCjUGqBSStGkgQohfBGWqE5ick1EVEH5IdVC2S2E3LTvt2s4eOw6AODvs3sgvnE9H9eIiHyB3UKIiCrQslsIVYHNUHwcZYaozuK3n4iogtAQKTq0jIRWX4JG9RW+rg4FCJtJZNidiKjOYnJNRFRBYrMIJDaL8HU1KMBYnniIRSIo5OxvTVRXsVsIERGRF2jLZvVUKaUQiUQ+rg0R+QqTayIiIi+wzurJLiFEdRqTayIiomoymswoMpgA8GVGorqOVwAiogpW7TiFzBwNVAopnpnameMVk0u6Yo6NTkSlmFwTEVVwM0+HrD+1EIkAmZQP+Mg1jhRCRBa8axARVVC+76yYL6aRG4oMJkglpbdUdgshqtt4BSAiqkBXNhmIirMzkptaNAnDqucGwFBigsks+Lo6RORDvHMQEZVjNgt3k2vOzkgekrN/PlGdx24hRETl6IqNsLQ7su8sERF5isk1EVE5lv7WALuFEBGR53jnICIqxzLLHsCWa3LfTydv4NKNQqgUMgzqGoP66hBfV4mIfITJNRFROTYt1xz1gdx06nIeDp3KBgD06dAY9X1cHyLyHXYLISIqh+MVU1WUf+IRyu5ERHUarwBEROW0aBKGmcMToSsqQZs4tj+Se8o/8WByTVS38QpARFROdGQooiNDfV0NCjCWJx7KECkkYj4UJqrLeAUgIiKqJi0nHiKiMkyuiYiIqsEsCNZuIZx4iIj4E5uIqJzsPB0gKn2ZUaWQQiQS+bpK5OeKik0QymYeUrPlmqjO41WAiKicT7/+A+ev3QYArHpuAKQSJtdUOduXGdlyTVTXsVsIEVE5lhfTFHIJpBJeIsk127HRmVwT1XVsuSYiKufui2lMksg9ITIJUtpGQVtkRFwjla+rQ0Q+xuSaiKiMIAjWlmuO+kDuatJAhbnjOvi6GkTkJ/jMk4ioTHGJCSZz6ZtpfLxPRERVweSaiKhM+Sms2XJNRERVweSaiKgMX0wjIqLqCsqmme3btyM1NRUXL16EWq3GwIED8eyzzyIyMtLltlu3bsWLL75Y6Trff/89oqOjXa4/ffp0vPrqq54fABH5hOVlRoAvNJL71n6TgaPncqFSyjB/Ukc0Clf6ukpE5ENBl1ynpqZi6dKlSElJwaJFi3Dz5k2kpqbi2LFjSEtLQ2hoaKXb9+jRA2+++abd8tzcXPzrX/9Cu3btrIl1eXPnzkXLli1tlrVo0aJ6B0NEtcryMiMAqJRBd3mkGlKgKUaBxoACjQEyKR8IE9V1QXX3yMvLw7vvvovk5GSkpqZCIpEAAJKTkzFv3jysWbMGc+fOrXQfcXFxiIuLs1v+0UcfAQAmT57scLs+ffqgZ8+e1TwCIvIlm24hbLkmN9n8KGNffaI6L6iuAnv37oVer8eMGTOsiTUADBo0CHFxcdixY4fL5NoRQRCwZcsWKBQKjBkzxul6Go0Gcrkccrm8SvUnIt+6J7kJOrduCE2REfVV/B6Te7TFpd2J5DIxZFKJi7WJKNgFVXJ98uRJAECXLl3sPuvUqRO++uoraLVaqFSeDfKfnp6OK1euYOzYsQgLC3O4zrx586DVaiESiZCQkIBHHnkE48aNc7sMsVgEsbh2plmWlM06J+HsczYYF+fqSmykUjEUIVI0cHP9uhKXqqhLsdGV9dVXK2SQuugWUpfi4inGxjHGxTF/jktQJdc5OTkA4LBPdHR0NARBQE5Ojsd9oTdv3gwAmDJlit1nCoUCo0ePRq9evdCgQQNcu3YN69evx/PPP4/MzEw8+eSTbpURGamCSFQ7ybVFWBhfunGEcXGOsXGMcXGuLsTG0i0kTB2CiAj3Gm/qQlyqirFxjHFxzB/j4pfJdWFhIVavXu32+jNnzkR4eDj0ej0AOOyWERISAgAoKiryuC579uxBfHw8UlJS7D4fNWoURo0aZbNs2rRpmDRpElauXInx48cjNjbWZTl5edpabbkOC1OisFAPk8lcK2UGAsbFOcbGMcbFuboSG0OJCQZj6fEpZGLk52srXb+uxKUqGBvHGBfHfBUXd35A+21yvWLFCrfXHzt2LMLDw6FUlv56MRgMUCgUNusUFxcDgN1yV7788ksUFRU5fZHREblcjjlz5mDhwoX46aefMHXqVJfbmM0CzGUzw9UWk8kMo5Ff1IoYF+eCPTbfH78OXZERKoUU93RsArGbT5OCPS7VEeyxua0xWP8cqpC5fazBHpfqYGwcY1wc88e4+GVyHRsbi4yMDI+3i4qKAgBkZ2cjPj7e5rPs7GyIRCLrOu7asmULpFIpJkyY4NF2MTExAID8/HyPtiMi3/nu12u4lquBVCJC345NfF0dCgAcKYSIKvK/XuDVkJycDAA4evSo3WfHjx9HixYtPHqZ8Y8//sCpU6fQv39/NGrUyKO6XLlyBQDQoIG7r0YRka9ZhuJTKWS1/g4EBSbO6klEFQVVcj148GAoFAqsX78eJpPJunzfvn3IzMy0G0bv+vXruHDhAkpKSiruCgCQlpYGwPnY1oDjluk7d+7g448/hkwmQ79+/apyKETkA9bkmkkSualJAxWeGNseM4cloGsbzxphiCg4BdUzrMjISDz99NN44403MHv2bIwePRrZ2dn4/PPP0bJlS8yaNctm/RdeeAHp6enYu3ev3UuHxcXF+PLLLxEVFYX+/fs7LXPMmDFISUlBQkKCdbSQLVu2IDc3FwsXLkTjxo1r5FiJyLtKjGYYSkr77fHxPrkrTCVHz3b2I1QRUd0VdHeQOXPmIDw8HKmpqVi8eDHUajVGjBiBBQsWeNQlZM+ePSgsLMSDDz5oMyFNRaNHj0Z6ejp++uknaDQaqNVqdOzYEUuXLmWrNVEA0XF2RiIi8oKgS64BYOLEiZg4caLL9dauXev0szFjxlQ6G6PFwoULPaobEfknTdlEIACgUgblpZGIiGoB7yBERKg46gNbrsk91//UorjEBJVShgZhIZCIg+pVJiKqAibXRESoMOoD+1yTm/7z4yUcPlM6O/Cb83qjYX3/my2OiGoXf2ITEQHQ6st3C2HLNblHy776RFQBm2eIiAAoQyRo0SQMuqIS1FeF+Lo6FCAsP8okYhEUcucvvxNR3cHkmogIQLfEKHRL9GwGVyJLy3WoQsqJh4gIALuFEBERVVn5WT2JiAAm10RERFViNJmhLy6dDZjDNxKRBZNrIiKiKtAVl3sJli3XRFSGP7WJiAD8+z+/I/9OMdRKGZ6cmMz+s+SSrojJNRHZY3JNRATg0o1C5BYUQcUX08hNNhMPsVsIEZVhtxAiItxtheQY1+QubbmWazVbromoDH9qE1GdZzYLd5NrJknkpo6tGuCjBf2hLTJCKmFbFRGVYnJNRHWertgIoezPfLxPnpBJJQhXc/IYIrqLP7WJqM7jFNZEROQtTK6JqM6zTGENACoFW66JiKjqeBchojqPLddUFT+euIGcAh1UChnu7dQUyhDeUomIyTURUYUh1Zhck3t+zcjBiQu3AAB9OjT2cW2IyF+wWwgR1XnaInYLIc+V/1EWyvOGiMrwakBEdV6rmDBM6t8S2iIj4qLUvq4OBQhN2Y8yZYgUEjHbqoioFJNrIqrzmjcOQ/PGYb6uBgUYS8s1n3YQUXn8qU1EROQhQRA4qycROcTkmoiIyENFBhPMQunUQ2q2XBNROUyuiajOyyssgkZfArNZcL0yETjCDBE5x5/bRFTnLdt4DDdu6aCQS/Dh3/r7ujoUAMqPMBPKsdGJqBy2XBNRnWdJlPhiGrlLYzPxEM8bIrqLVwQiqtPMZjM0OgMAQCIWQxAEiEQiH9eK/J1CJkGHFpHQFpUgKlzp6+oQkR9hck1EddaRjFxs2ncOlq7WOQV6vPjRIUwZ2BrdEhv5tnLk11rF1Mffpnb2dTWIyA+xWwgR1UlHMnLx4faTyL1dZLM8p0CPD7efxJGMXB/VjIiIAhmTayKqcwRBQNr+8xCcDA4iCEDagfMQnK1ARETkBJNrIqpzzmYWIKdAX+k6Ofl6nLt2u5ZqREREwYJ9romozinQGNxcr7iGa0KB6vOv/8DF64VQKaR4anJHqDgcHxGVYXJNREHNaDLjjyv5uHSjEGPvaQEACFfL3do2XB1Sk1WjAJadr0fWn1oAgEzCh8BEdBeTayIKOkaTGacu5eHXjBwcO/endRzrPh0ao2F9JRLiwhEVrqy0a0hUhBJtYuvXVpUpwGjLxrmWS8WQyyQ+rg0R+RMm10QUFEqMJpy6lI/DZ3Jw7Pyf0Bcb7dY5kpGL4SnNIBKJMGVga3y4/aTDlxpFImDKgNYc75qc0lkmHuLU50RUAZNrIgpogiDg86/P4NeMHBQZTHafh8gl6Ny6IbonRqFDy0jr8m6JjfCX8clIO3AeOfl3W7CjIpSYMoDjXFPltPrSlmvOzkhEFfGqQER+RRAEnM0sQIHGgHC1HAlx4TYtyGZBgLjc30UiEQo0xTaJtTLENqGWSR0/tu+W2AhdExribGYBbmsNCFeHoE1sfbZYU6UMJSYYjGYAQChfZCSiCphcE5HfOJKRi7T95236QkeFKzGhX0tIJCIcPpODSzcKsfSJXpCI775E1j0pCheuF6Jrm4bolhSF9s0jIZO695KZSCRCYrMIrx8LBS9NWas1UPpjUBAE/iAjIism10TkFywzJlbsA51ToMdHX56yWZZxtQDtmt/t4tG7fTT6dGgMKUdt8AuCIODMlXyUXM6HTAS0ahpWo8mnq6cd3nQkIxdffHfW+vdz127jxY8OYcpAdiUiolJBmVxv2LABhw8fxqlTp3DlyhWYzWZkZGR4vJ+DBw9i5cqVOHPmDORyOXr16oXnnnsOcXFxdutevHgRb731Fg4fPoySkhK0a9cOTz31FHr37u2NQ/Ka2r7pmc1m7PstC9n5ekRHKDGoawzE4ppLgIK9PF+UaTabsSf9Ggp0JQgPlWFA56ZeL8/VjInlqRRSu/GnnXX7cLfs2krM6kJ5zp4+1FTyWZvlVfYD8MPtJ/GX8clMsIkIIiEI5/cdNGgQ8vPz0a5dO1y7dg03b970OLnes2cP5s+fj6SkJEyZMgUajQarV6+GWCzGli1bEB0dbV336tWrmDJlCiQSCWbNmgW1Wo20tDScO3cOH3/8Mfr06eOyvNzcOx4fp6eOZORi075zyL1dZF3WqL4C9w9qUyM3hLT957HncCZM5runmEQswrAecZgysLXflSeVihERoUJ+vhbGsv6UNVleVQRaTAFAX2xEboEet24X4c/bRci9Xfrn0BApHhndDgCQcTUfb/zfUZf7mjqoNQZ3i/VaC3V1EzNPz5lgTjwt5VU2Aou3k09vlFdcYsIdnQElRnPpfyYzjJY/l/29xGiGIAjY+d8rLodvXPp4r0p/vHh6ztQljI1jjItjvopLo0b1XK4TlMn1tWvX0LRpaevaE088gQMHDniUXJeUlGDQoEGQSqXYuXMnVCoVAOCPP/7AxIkTMXnyZPzjH/+wrv/0009jz5492Lp1K9q2bQsA0Gq1GD16NORyOXbv3u2ypaimk+sjGbn4YNtJp5//zwTv3vTS9p/Hrl+uOv18ZM9mXk0GvVGeJ1/U2j4+X5RZ1fL+uJyHfb9l4c/bRfjztt46xnRF4Wo53n6yLwDgl9PZ+GjHKYfrlTd3XHuktI12uZ47vJGYeXLOBGLiaSEIAsyCALMZZf8XypYBoQopxCIRBEHAix8dqjT5jFCHYM59STALgEIuQZvYcJvPj57LRcGdYpjMwt3/TGabv5vNAto1j0Ryy0iX5UklIjQIU8BoEqxJ8oJpndGiSZh1nUOnb2LVjtMuYyCXSWAosR+NpqKF07siIS7c6edMlJxjbBxjXBzz5+Q6KLuFxMbGVmv7w4cPIycnB/Pnz7cm1gDQtm1bpKSk4Ouvv8arr74KmUwGnU6Hffv2ISUlxZpYA4BKpcLkyZPx/vvv4+TJk+jYsWO16lQdgiBg3TeV/7hYtycDXRMaeuVxsdlsxp7DmZWus+dwJib1b+mV7gXeKs/yYpK57D+UJSVC2R8EATCX3ey/caO80b3jIRaLIUCAIMA6moVQbv8yqRhSqdiaAJnNpaWJRZaygZISM7RFBnyT7jzRBYBvDmdau2wIKN1/oa4ExQYjhLL6CygdaaNBmMK6f0EQUGQwIaRsIgwBgNlkwm4X5e365SoOHsvC1MFtENtIbd3/8Qu3cORsbqXbAqVTkJ+4cAtSiQj5d4pcrg8A9VWlMytey9Xg5i2dzTFYyofln04A6qlk6NCigc0+jmTkQqM3YOv3F512QxEE4Ivvztp8J4oNJnx3JLO0HKH030kkEkGhkEGnM8BkNpd9BgzuFouIendnd7x4/TY++/p0peV9+tVp/HG5MWYMT7T5bM/hTJzNLLAeo+X8tNaj7P/tW0Tivt7Ny/ZXeTcbQQBW/ud31FfJIAjA9KGJNon25ZuFWLruN5jNd8ty5v2n+0GtlOFsZkGliS4A5GuKsWzjcQBA88b18OrsHjaf7zp0Feezble6DwCQy8QIkYldlmc0CcjOt12npMJNWCZxr0uRuzfvil2WiKjuCcrkurpOnixt4e3SpYvdZ507d8ahQ4dw+fJltGnTBhkZGTAYDOjcubPDdS3782VynXE1H7d1hkrXua014JE39tstl4hFpZMklN1dC3UlqBdaOvSU5YZb/s15d5nMAuYu+x5Gk+MbVohcYk1ujWUtV3KZ2LrM4OGvVJNZwKNvHoBIhEoTBW8xmQX8z7s/1HxB5ZjNAl746FCtlqkrNuHzr8+4tW5843oY0i0WDesr0ChciRt5OizbcKxK5f78+81KW9UtkpqF2yXXO366hMwcjctt8+4U49y129ZWyOISE7YcvOhW/XokRdkk17+d/RP64spbPYsMJvx8+qZdcn35RiF+c+PHSkQ9hfXP7iS6ZrOA/Dul1wVHLbIVk1Cn+yn7QhVoKr/GOCq/IonYvR/3JpPgdnkyqRjKEClkEjFkUjHEFcpoUD8EKW2jrJ9LpaX/t/xdJpVAJhXj1u0ifH3oisvywtUhLtchouDG5NqBnJwcALDpV20RFRUFAMjOzkabNm0qXdeyLDs722WZYrHI7qLvLWevuW4JcsZkFlCotb2J3dF5nkw74iyxBkpbCSsylFT/sU/wdYLyrRCZGMVu/ruM79cC3RKjrH+/Vehea3V5d/QlkErFkHjQ51paYUg+T75nhTqDdfuK+6mMWCKyWb/Yje4EAGA2V72+ItHdbe+4+YM3NEQChVwKRYjEptxQhQxxUerS65JIBLEYpf8XlV6nROWWhchKt21QX1FJSXf16dAYURFKRNQLsTvW0fc0x71aAyQSMSRiUel/krL/i+8uiwhT4E8XPx4snn+wS6VDLbaODceTFbqnOCIIAn7NyLGZcKii6Agl2jaPqPQJoOXc9eQcrisYG8cYF8f8OS5+m1wXFhZi9erVbq8/c+ZMhIeHe6Vsvb704imXy+0+CwkpbZUoKipye13LOpWJjFTV2Bv8impMcqAMkaJe2aN4EYDsPB0aNwi1fi6CCDduaau07/pqOW47aX1q1rietUyjyYysXC2al+sneflGocflNQxXIrxeCM5nFjj8PDE+ApZ/AZFIhD8u56Ft2XBvln+a05fy3C6vaUMVGkUoAZS27l9w8iOna1KUtdz8O8UoMZoRHRlqLfPk+T8dzjzoSIumYWjaSA1R2TH8cCzL4XoDusXaHOuFawVoHRcOUdnSzOxCZFwtcFne7NHtceOWFmaTAIhK9yUCSv8MkfUYRCIR2jRvgIiIu92sWpqBKYPbQCQSITdfh/1Hrrksr1nTcEREqHBP5xg0jAgtLU9k+fcRlXanKStbLAIi6ytsygSA6SOScOZKPrbuP+92eQCgrqfAoodTSiewEcE6kY24XB0s9WkdG24zuUjvjk2x143je2pqJ7v6Pjm1C56YZIZIZCmr9NgsSa5luVgssr7oGdekvsuyAODVR3ujfcsGdssjIlT48IXBbu3Dold4KJp8fabS60GThiosnJ3i9Fo3oIfK4XJHWguCW+X17BjjtWvro+M64J+rD8NBozvEIuCRcR0QGal2a19hYUqv1CkYMTaOMS6O+WNc/Dq5XrFihdvrjx071mvJtVJZ+g9lMNgnfsXFpf3pFAqF2+ta1qlMXp62xlquWzR272L/0syuSIqPdL2iC2azGY/8c7/NCBMVScQivDe/r9f6XLtT3lt/6V1peRKJGGFhShQW6mGqpFXd3fKWPN7Ta0PWuVvm32d3tynzsdFtna7vjfJ6t20Esdj9Fwzz8+8mQiFiYEzveAClrYKnLt5y2SrYJDwE+flaxEQqERPp3gW1fJkAkBRbH4kxYfjxWJbb5VkkxoTZrOPsnCnWG1Csv3tNaNO0HqIilC7LS46PsKsvAOsPIUsJrn5qNY1QuFVexeOrrikDW2H5lhNOX6KcMqAVCgp0AVteUmx9PDmpIzbuPWfTlzs6Qompg9sgKba+y3i6e52pixgbxxgXx3wVl4oNII74bXIdGxtbpbGpvaF8149WrVrZfFaxG0j5dSuyLHPUZaQic9lb8DWhddP6CFPJ7bp3lFdfJUerpvW99sbtsB5xlfaJHdYjrnTkAbP/lWcqG4qrtspzVyDH1B1TBrSudHSLyQNaw2QSYO1470fluXPOBPLxuatz64b4y/hkpB04b5PYR0UoMWVAa3Ru3dCrb/XXdnmWMju1aoCzmQW4rTUgXB2CNrH1IRKJPCrLnXOmrmJsHGNcHPPHuPhtcu1LycnJAICjR4/ajVF97NgxqNVqNG/eHACQkJAAuVyOY8eO2e3HsqxDhw41WV2XRCIRZg5LxIfbTjq8jYoAzBiW6NVuKZYh2mprTOZgL88XZdZ2ed0SG1WaKHl7XGaWVzOTnXRLbISuCQ1x4XohjIIIMrGAlk1qbrIqS3mOkt2aIhKJKu3HTUR1W1COc12eq3Guc3JycOfOHTRt2tTafaOkpAQDBw6ETCazGef6zJkzmDBhAiZOnIjXX3/duo/58+fj22+/xbZt25CUlATA/8a5BsomlKjlG61lNsGcAj2iI0IxsIv3Z/fzVnlVGTOzto/PF2WazWYcOHYdt3VGhKuk6N+pZsuzzChYW4lSdcqryjkTSMdXHRyb1zHGxTnGxjHGxTF/Huc6KJPrffv24cyZ0uHBduzYgUuXLuHpp58GAISFhWHGjBnWdRcuXIht27ZhzZo16Nmzp3X5rl278Mwzz1hnaNRqtUhNTYVIJMLWrVttunpcuXIFU6ZMgVQqxezZs6FSqZCWloazZ8/io48+Qr9+/VzWuTaSa6D0RltbLUqBhhcw5xgbxxgX5xgbxxgX5xgbxxgXx/w5uQ7KbiF79uzBtm3bbJa99957AICYmBib5NqZkSNHQqFQYOXKlXjzzTchl8vRu3dvLFiwwK4PdXx8PL744gu89dZbWLVqFUpKStCuXTt88sknbk19XptEIhGS4iP4RSUiIiKqAUHZch2IaqvlGuCvYGcYF+cYG8cYF+cYG8cYF+cYG8cYF8f8ueXa/0beJiIiIiIKUEyuiYiIiIi8hMk1EREREZGXMLkmIiIiIvISJtdERERERF7C5JqIiIiIyEuYXBMREREReQmTayIiIiIiL2FyTURERETkJUyuiYiIiIi8hMk1EREREZGXMLkmIiIiIvISJtdERERERF4iEgRB8HUliIiIiIiCAVuuiYiIiIi8hMk1EREREZGXMLkmIiIiIvISJtdERERERF7C5JqIiIiIyEuYXBMREREReQmTayIiIiIiL5H6ugLkPRs2bMDhw4dx6tQpXLlyBWazGRkZGR7v5+DBg1i5ciXOnDkDuVyOXr164bnnnkNcXJzduhcvXsRbb72Fw4cPo6SkBO3atcNTTz2F3r17e+OQvGr79u1ITU3FxYsXoVarMXDgQDz77LOIjIx0ue3WrVvx4osvVrrO999/j+joaJfrT58+Ha+++qrnB1BDqhMXABg0aBCysrIcfvbzzz/b7Sc7OxvLli3D999/D51Oh9atW+Oxxx7DyJEjq30s3lSduGRnZ2P79u344YcfcPnyZWg0GsTExODee+/F448/joiICJv1/e18MZvNWLNmDTZs2ICsrCxERkZi5MiRmD9/PkJDQ72+vSfXHF+qTlwuXbqEHTt24KeffsLVq1dRXFyMZs2aYcSIEZg1a5bd9suXL8eKFSsc7uv555/HI4884rXj8obqnjOJiYkOl4eGhuLo0aN2ywPl3lOduFR2DgCAVCrFqVOn3FrfH8+Zjz76CKdOncKpU6dw7do1xMTEYN++fR7vx5Nr9fHjx/HOO+/g+PHjEIlE6NKlCxYsWIC2bdt645CsmFwHkVWrViE/Px/t2rWDXq/HzZs3Pd7Hnj17MH/+fCQlJeG5556DRqPB6tWr8cADD2DLli3W5BEArl69igceeAASiQSPPvoo1Go10tLS8Oijj+Ljjz9Gnz59vHl41ZKamoqlS5ciJSUFixYtws2bN5Gamopjx44hLS3N5UWuR48eePPNN+2W5+bm4l//+hfatWtnExuLuXPnomXLljbLWrRoUb2D8aLqxsWiZcuWmDt3rt1ytVpt8/eCggI8+OCDyMvLw+zZs9G4cWPs3LkTf/3rX6HT6TBp0iSvHFd1VTcu+/btw/LlyzFgwAA88sgjUKlUOHHiBNasWYOvv/4amzdvRqNGjey285fzZcmSJVi7di2GDh2KOXPm4MKFC1i7di1Onz6N1NRUiMWVP/T0ZHtPrjm+Vp24bNmyBevXr8egQYMwZswYSKVS/PLLL3j33Xexa9cubNq0CQqFwm67F1980e7HWIcOHbx+bNVV3XMGALp3747777/fZplMJrNbL5DuPdWJy9ChQ9GsWTO75RkZGfj0008xcOBAh9sFyjnz9ttvIzw8HO3atcOdO3eqtA9PrtXHjh3DzJkzER0djaeffhoAsG7dOjz44IPYsGGD0x94VSJQ0MjMzBRMJpMgCILw+OOPCwkJCR5tbzAYhL59+woDBgwQNBqNdfnp06eFpKQk4eWXX7ZZf/78+UJSUpJw+vRp6zKNRiMMGDBAGDZsmGA2m6txNN5z69YtoVOnTsKkSZMEo9FoXb53714hISFBWLlyZZX3/e9//1tISEgQ1q1bZ7N8y5YtQkJCgnDo0KEq77umeSsuAwcOFGbMmOHWum+88YaQkJAg7N2717rMaDQKkyZNElJSUmzOO1/xRlzOnj0r5OTk2C3ftGmTkJCQIPzzn/+0We5P58vZs2eFxMRE4cknn7RZvmbNGiEhIUHYsWOH17b39JrjS9WNy4kTJ4TCwkK75W+//baQkJAgrF271mb5+++/LyQkJAiZmZnVr3wNq25sBEEQEhIShBdeeMGt8gLl3uONuDjyyiuvCAkJCcL+/fttlgfSOSMIgnD16lXrn++77z5h4MCBHm3v6bV60qRJQpcuXYSbN29al928eVPo0qWL8PDDD1fxKBxjn+sgEhsb61brgDOHDx9GTk4OJk+eDJVKZV3etm1bpKSk4Ouvv0ZJSQkAQKfTYd++fUhJSbF5nKJSqTB58mRcvnwZJ0+erPrBeNHevXuh1+sxY8YMSCQS6/JBgwYhLi4OO3bsqNJ+BUHAli1boFAoMGbMGKfraTQaGAyGKpVRk7wdF6PRCI1GU+k6O3fuRLNmzTBo0CDrMolEghkzZqCgoAAHDx707CBqgDfi0qZNG4ct05auL2fPnnW6ra/Pl507d0IQBMyaNctm+f333w+lUuny+D3Z3pNrjq9VNy7JycmoV6+e3fJRo0YBcH1OGI3GKtS6dlQ3NuUZDAZotVqnnwfSvcebcbHQ6XT46quv0LhxY/Tr18/pev5+zgCodrcvT67VV65cwcmTJzFixAibp2HR0dEYMWIE/vvf/yI3N7da9SmPyTVZWS5IXbp0sfusc+fO0Gg0uHz5MoDSx1IGgwGdO3d2uG75/flaZcfVqVMnXLx4sdKLuTPp6em4cuUKhg0bhrCwMIfrzJs3D926dUPHjh0xduxY/Oc///G4nJrizbgcP34cnTt3Rrdu3dC9e3e88MILyM7OtlknJycH2dnZ6NSpk932/nTO1NT5AsAak4YNGzr83B/Ol99//x1isRgdO3a0WR4SEoKkpCSX/0aebO/JNcfXqhsXZyzd95ydE2PHjrWeE9OmTfOLH6AVeSs233zzDTp37oyuXbuid+/e+Mc//mHXXSCQ7j01cc7s3r0bGo0GEyZMsEkoywuEc8YbPLlWu7rWCIJg03+9utjnmqxycnIAwGEfx6ioKAClyUGbNm0qXdeyrGJy5Suu6ioIAnJycjzu27p582YAwJQpU+w+UygUGD16NHr16oUGDRrg2rVrWL9+PZ5//nlkZmbiySefrMKReJe34tK6dWtMnjwZrVq1gtFoxC+//ILNmzfj559/RlpamnX/7pwzlnV8qabOFwB4//33AQDjx4+3We5P50tOTg4iIiIgl8vtPouOjsbRo0dhMBgcfu7p9p5cc3ytunFxxGQyYeXKlZBKpRg9erTNZ/Xq1cPUqVPRpUsXhIWF4dKlS1i9ejWeeOIJLFmyBBMnTqz2MXmLN2LTsWNHjBgxAvHx8dBoNDh48CDWrVuH9PR0bNiwwfpkI9DuPd4+ZzZv3gyRSOTw/ZRAOme8wZNrtWVdy3Wl4rqAd88bJtd+prCwEKtXr3Z7/ZkzZyI8PNwrZev1egBw+EUPCQkBABQVFbm9rmUdb6lqbDw5Lk/qsmfPHsTHxyMlJcXu81GjRlkf91pMmzYNkyZNwsqVKzF+/HjExsZ6VGZldfFlXFatWmXz9/vuuw89evTAggULsHz5cixevNhmX7V1zvg6LhV99tln2L17N6ZOnWo3okFtni+u6PV6pzf78sfvbB1Ptq+pWNeE6sbFkSVLluDo0aP429/+Zvci6+zZs+3WnzRpEsaMGYOlS5di+PDhNl1pfMkbsUlLS7P5+/jx45GYmIh33nkHa9aswbx586xlAbV776kqb58zFy9exJEjR9C7d2+HXSoC6ZzxBm/lLJZl3jxvmFz7mcLCwkqH3qlo7NixXkuulUolADjs71lcXAwA1rfZ3VnXso63VDU25eta8W38isflri+//BJFRUWYPHmy29vI5XLMmTMHCxcuxE8//YSpU6d6VKYz/hQXizFjxuCdd97BgQMHrMss+6qtc8af4pKWloY333wTAwYMwCuvvOLWNjV1vriiVCpx69Yth5+5c/yebO/JNcfXqhuXit59912sW7cOU6dOxRNPPOHWNhEREZg2bRqWL1+Oo0ePom/fvm6XV5O8HRuLRx55BCtWrMDBgwetybUv7j1V5e24VPa01Bl/PWe8wZNrdWXnjWWZN88bJtd+JjY2tkpjU3tD+cewrVq1svms4uOX8utWZFnm7SG0qhqb8nWNj4+3+Sw7Oxsikcjho6LKbNmyBVKpFBMmTPBou5iYGABAfn6+R9tVxp/iUl5MTIzN+LTunDPVKa8if4nL5s2b8corr+Cee+7B8uXLHQ4t5kxNnC+uREVF4fz58w4fV2dnZzt9zF2V7T255vhadeNS3vLly7Fy5UpMnDgRr732mkf18MU54Yo3Y1OeTCZDVFSUzbH64t5TVd6Mi9FoxH/+8x+Eh4dj6NChHtXDH88Zb/DkWm35v6OuhzVx3vCFRrJKTk4GAIcD9h87dgxqtRrNmzcHACQkJEAul+PYsWMO1wX8Z1zNyo7r+PHjaNGihUePyv744w+cOnUK/fv3dzgiRGWuXLkCAGjQoIFH29UEb8eloqtXr9ocZ1RUFKKjo3H8+HG7dS3njKVOvuTNuGzevBkvv/wy+vTpgw8//NDjBMMX50uHDh1gNptx4sQJm+XFxcU4c+aMy++1J9t7cs3xterGxcIy0ceECRPw+uuvQyQSeVQPywuezl6A9AVvxaai4uJiZGdn25z/gXTv8WZc9u/fjz///BNjx471+Drij+eMN3hyrXZ1rRGJRGjfvr3X6sbkuo7KycnBhQsXbPoY9ejRA40aNcLmzZttRkM4c+YM0tPTMWLECGurm0qlwsCBA5Geno4zZ85Y19Vqtdi8eTOaN29u94a0rwwePBgKhQLr16+HyWSyLt+3bx8yMzPthtG7fv06Lly44HQIMEvfwMq6hDhqIbhz5w4+/vhjyGSySodQqi3eiEtBQYHDfa9fvx43b960m+Tgvvvuw9WrV21m4TKZTFi3bh3CwsJw7733euHIqsdb58vWrVvxyiuvoFevXvjwww+tfQAd8afzZdSoURCJRHb91Tdt2gS9Xm9z/FevXsWFCxeqvL0n1xxfq25cAGDFihVYsWIFxo0bhyVLljgdOtVoNDqcVOPGjRvYsGEDwsPDHY564CvVjY2zFtV3330XRqPR5joSSPceb5wzFpYuIc7uO4F2znjK0XXWk2t1fHw8OnTogN27d9s89cjOzsbu3bvRq1cvjxvLKiMSBEHw2t7Ip/bt22e92OzYsQOXLl2yzkIUFhaGGTNmWNdduHAhtm3bhjVr1qBnz57W5bt27cIzzzyDpKQkTJkyBVqtFqmpqRCJRNi6davNY5MrV65gypQpkEqlmD17NlQqFdLS0nD27Fl89NFHfpFAWnz22Wd44403kJKSgtGjRyM7Oxuff/45GjdujM2bN9u0RM6cORPp6enYu3ev3UtkxcXF6Nu3LxQKBQ4cOOB0KKS+ffsiJSUFCQkJ1tEftmzZgtzcXCxcuBAPP/xwjR6vu6obl9TUVGzZsgV9+/ZFbGwsjEYj0tPT8d1336FZs2bYuHGjzRS0+fn5mDRpEvLz8/Hwww8jOjoaO3fuRHp6OhYvXuxRX8KaVN247N27F08++STUajWee+45u8RapVJhyJAh1r/72/nyj3/8A+vWrcPQoUPRv39/66xyXbt2xerVq61J4aBBg5CVlWXX/cbd7QHPrjm+Vp24rF+/Hv/v//0/NG3aFE8//bRdi3XDhg1xzz33ACh9X2Dw4MEYMmQIWrZsifr16+PSpUtIS0uDTqfDsmXLrGOm+4vqxGbJkiU4fvw4evbsiSZNmkCn0+HgwYP45Zdf0KlTJ6xZs8amT20g3Xuq+10CShPAgQMHon379nYvfloE4jmzfft2XL9+HUDpTIklJSXWa13Tpk1tRlVydl/25Fr922+/4aGHHkLjxo2t+dC6detw69YtfPHFF0hKSvLasbHPdRDZs2cPtm3bZrPsvffeA1Da56p8cu3MyJEjoVAosHLlSrz55puQy+Xo3bs3FixYYHeTi4+PxxdffIG33noLq1atQklJCdq1a4dPPvnEr6afBYA5c+YgPDwcqampWLx4MdRqNUaMGIEFCxZ41PVhz549KCwsxIMPPug0sQaA0aNHIz09HT/99BM0Gg3UajU6duyIpUuX+tWFv7pxSU5OxqFDh7Br1y7k5eVBEATExsbisccew+OPP243/ndERIT1nFm/fj10Oh1at26Nd955x260DF+qblxOnz4Ns9mMwsJChy8wxsTE2CTX/na+vPTSS4iJicHGjRtx4MABREREYMaMGZg/f75bE1V5sr0n1xxfq05cLOPsXr9+HS+88ILd5ykpKdbkWqFQYNiwYThx4gS+++476HQ6REREoE+fPnj00Uf9pmW2vOrEJiUlBRcuXMC2bdtQUFAAiUSC+Ph4PPPMM3j44YftfpwG0r2nut8lANi2bRtMJlOljQ+BeM5s2bIF6enpNsssOUtKSordkKWOeHKt7tq1K9auXYt3333XWk7Xrl3x3nvveTWxBthyTURERETkNexzTURERETkJUyuiYiIiIi8hMk1EREREZGXMLkmIiIiIvISJtdERERERF7C5JqIiIiIyEuYXBMREREReQmTayIiIiIiL2FyTURERETkJUyuiShoJCYm2v3Xvn179O3bF0899RR+++23WqvL8uXLkZiYiK1bt9ZamXXNtWvXkJiYiJkzZ1Z7X0ajEcOHD8fkyZNtlm/duhWJiYlYvnx5tcvwlKPzubL/Bg0aBAA4ffo0EhMT8fHHH9d6nYkIkPq6AkRE3jZhwgTrn7VaLc6cOYM9e/bg22+/xb/+9S+MGTPGh7XzjWvXrmHw4MFISUnB2rVrfV0dv7Nx40ZcvnwZq1at8nVVrMqfxxZHjhzB1atXkZSUhLZt29p8FhERAQBo164dBg0ahFWrVmHKlCkIDw+vjeoSURkm10QUdP75z3/a/N1sNuPtt9/Gxx9/jMWLF2PEiBGQyWQ+qh15S3R0NL7++msolcpq7cdgMOCDDz5AYmIi+vfv76XaVV/F8xgAFi5ciKtXr2LIkCF46qmnnG77xBNPYN++ffj444/x3HPP1WQ1iagCdgshoqAnFosxf/58SKVSFBQU4Pz5876uEnmBTCZDq1at0LRp02rtZ/fu3bh16xbGjx/vnYr5gc6dOyM+Ph5btmyBwWDwdXWI6hQm10RUJ8jlcqjVagCl/WstFi5c6LIv6y+//FKtsjMyMjB37lz06NEDnTt3xowZM+z6f3/66adITEzE22+/7XQ/c+bMQWJiIg4dOmRdlpWVhb///e8YPnw4OnXqhJSUFNx333149dVXcfHiRQCl/b8HDx4MAEhPT7c5toULF9qUUVBQgGXLlmHUqFHo2LEjunXrhoceegj79++3q0/5Ps8ajQZLly7FoEGD0L59e7z++utV2icAnD17FgsWLMDgwYORnJyMXr16Ydy4cXj99deRk5PjsPyKDh48iIcffhj9+vVDhw4d0LdvXzzwwANYsWKF3bppaWkQiUS47777nMbekc8++wxJSUkYMWIEbty4AcC2j/bVq1fx9NNPo2fPnujatSseffRR6w87o9GIf//73xg+fDiSk5MxdOhQrF+/3qPyXbnvvvuQn5+P7777zqv7JaLKMbkmojohMzMTBQUFkMlkiI+Pty7v1q0bJkyYYPff2LFjIZFIAMD6/6r4/fffMXXqVGRlZaFv376Ij4/H4cOHMXv2bJw9e9a63oQJEyCXy7F161ab5L98/f/73/+iefPm6NWrFwDgxo0bmDhxIjZs2AAA6N+/P3r06AG5XI5Nmzbh2LFjAIC2bdti+PDhAICGDRvaHGe3bt2sZVy6dAnjx4/HqlWrUFRUhL59+6JDhw44ceIE5s6di08//dThMRYVFWHGjBnYtm0b2rZti0GDBqF+/fpV2ufvv/+OyZMn48svv4RKpcLgwYPRuXNnGI1GrFmzBpcuXXIZ8/Xr1+Pxxx/HL7/8gvj4eAwfPhwJCQm4fv263YuJGo0GR44cQXx8PKKjo13u2+Ltt9/GG2+8gfbt2+P//u//0KRJE5vPr127hilTpuDcuXPo06cPYmJi8MMPP2DmzJnIzc3F/Pnz8cknn6B169ZISUnBjRs38P/+3//Dpk2b3K6DKykpKQCAAwcOeG2fROQa+1wTUVDTarX4448/sHTpUgDAtGnTEBYWZv18ypQpmDJlit12ixcvhslkwsCBA9G1a9cql79+/XosWrQIDz30kHXZkiVLsHr1anzyySd48803AQCRkZEYNmwYdu7ciQMHDmDIkCE2+9m8eTMEQbAZzSItLQ0FBQWYMWMGXnnlFZv1r1+/bk3ShwwZgqSkJHzzzTdo2bKlw768JpMJ8+fPx40bN/Dcc89hzpw5EItL21+uXLmCOXPmYNmyZejXrx8SEhJstj1x4gS6dOmC7777zia2Vdnn2rVrUVxcjBdeeAFz5syxKefChQuoV6+ey5h/8sknEIlE2LhxI5KTk63LBUFAenq6zbq//fYbTCYTOnTo4HK/QGn//f/93//Fxo0b0bNnT3z44YfWJyLlbd++HY8//jj+9re/QSQSQRAEvPTSS9i6dStmz54NsViMPXv2IDIyEgDw888/Y/bs2fj3v/+N+++/3626uJKcnAyxWIzDhw97ZX9E5B62XBNR0Cnf7aFr166YPn06Ll26hFdeeQWLFi1yuX1aWhrWrl2L1q1b46233rImhFXRtWtXm8QaAObNmwcA+PXXX22WP/DAAwBg13ppMpmwbds2yGQyTJw40bo8Ly8PANC7d2+7cps2bYpmzZq5Xc/9+/fj7NmzGD58OB599FGbY46Pj8fChQthMpmctqwuWrTIJrGu6j4tx9SnTx+7Mlq1aoWoqCiXx5KXl4ewsDCbxBoARCIRevbsabMsIyMDANCiRQuX+zUYDHjmmWewceNGDBkyBJ988onDxBoA4uLiMH/+fIhEImvZs2bNAgCcP38eL730kjWxBkr/Ddu1a4esrCxcu3bNZV3coVar0ahRI1y/fh23b9/2yj6JyDUm10QUdMp3e7jvvvvQpUsX6PV6fPDBB/j+++8r3fbXX3/Fa6+9hvDwcPz73/92mjy565577rFbFhERgfDwcJv+wwDQvXt3tGnTBj/88IO1Dy9Q2n84OzsbgwYNQoMGDazL27dvDwB45513sH//fhQXF1e5nj/++CMAYOjQoQ4/t3QfOXnypN1njRo1sktkq7pPyzG99tpr+OWXXxx2kXGlffv2uH37Nl566SWcO3eu0nUtybylG4szOp0Oc+fOxe7duzFx4kS8//77kMvlTtdPSUmxG5EmLi4OQOmLmJYuG44+z83NrbQunrAcl+U4iajmsVsIEQUdR90eTp8+jRkzZuAvf/kLvvzyS7Rs2dJunaysLDz11FMQBAHvvfeeNdmpjsaNGztcrlKpUFBQYLd86tSpWLx4MbZs2YInn3wSwN2W7IrdBSZOnIiffvoJu3btwty5cxESEoLk5GT069cPkyZNQqNGjdyuZ1ZWFgBgwYIFWLBggdP18vPz7ZY5G62jKvt89NFHceTIEaSnp+Ohhx5CaGgounTpgv79+2PixIludQt59dVX8T//8z/YsmULtmzZgoYNG6JHjx4YNmwYhg8fbtOH/s6dOwBK/z0qs2bNGhiNRvTv3x9Lliyxtkg746j/tqWMhg0bOuzHHxoaCgBeHd3D8uPQcpxEVPOYXBNRndCuXTtMnToVn332Gb744gu77iE6nQ7z5s1DXl4e/v73v1tfGqwuT7uUjB8/HsuWLcOWLVvwl7/8Bbm5ufj+++8RExNj1woukUjw7rvv4vHHH8fevXtx6NAhHD9+HL/++itWrVqFTz75xO3+4mazGQDQr18/NGzY0Ol6lolKygsJCfHaPtVqNdasWYMjR45g//79SE9Px6FDh/DTTz9h1apVWL9+PZo3b17psSQlJeHrr7/GDz/8gIMHDyI9PR27du3Crl270KVLF6xZs8ba6mxJ1rVabaX77NevH3799Vf89NNP+OabbzBixIhK16/s37063Yw8pdFoAMCtHyVE5B1MromozoiNjQVQ+jJdeYIg4Pnnn0dGRgYeeOABPPjgg76oHoDSJGjUqFHYsmULfvjhB5w+fRomkwlTpkxx2lrarl07tGvXDk899RQ0Gg2WL1+O1NRULFmyBJs3b3arXEsL+5QpU6wji1RXVfcpEonQvXt3dO/eHQBw69YtLFmyBDt37sQ777yD9957z+U+QkJCMGTIEOuLoefOncOzzz6Lo0ePIi0tDdOnTwcAa79nV32S27dvj3nz5mHOnDl49tlnIRaLMWzYMLePyVcsx1W+fzcR1Sz2uSaiOsPyopjl8bvFe++9h2+//RY9e/bEyy+/7Iuq2Zg2bRqA0im5N2/eDIlEYvMiY2XUajWeffZZiEQim/7Glv6/zvowW1rFv/322+pUvUb22aBBA2sXGVd9qJ1p06aNNaEuv4+kpCQAcGuIv06dOuGTTz5BSEgI/va3v/n9+NEajQY5OTlo2rSpyz7lROQ9TK6JqE44ffo0Nm7cCAA2U1x//fXXWLlyJeLi4vDee+9BKvX9A72OHTuiffv22Lt3L65du4b+/fs77MO7fft2m7GyLb7//nsIgmDT3zsiIgIymQyZmZkwmUx22wwbNgytW7fGl19+iQ8++MCu368gCDhy5AiOHDni9nFUZZ9ffPEFMjMz7fZ18OBBALAbT7oivV6PNWvWoLCw0Ga52WzGDz/8YLePLl26QCKROHxR05EuXbrgk08+gUwmw1//+lfs27fPre184eTJkxAEAT169PB1VYjqFN/fRYiIvKz8rIMlJSXIysrC8ePHYTabMXDgQIwbN876uWVGxKioKLzxxhsO9/fYY4+hVatWNVvpCqZNm2Ydu3rq1KkO19mzZw9eeOEFNGvWDAkJCVAoFLh27RqOHz8OsViMv/71r9Z15XI5+vbti/3792PcuHFo164dZDIZunbtikmTJkEqleKDDz7AI488gvfffx/r169HYmIiIiMjUVBQgD/++AO3bt3Ciy++aDPxTGWqss8NGzbgf//3f9G6dWu0atUKEokEFy9exJkzZxASEoK//OUvlZZZUlKC119/HW+++Sbat2+PmJgYlJSU4OTJk7hx4wZiYmJsXgxVq9Xo1q0b0tPTcfPmTacvoJbXtWtXfPzxx3jssccwf/58rFixAgMGDHArJrXJMrOoP9aNKJgxuSaioLNt2zbrn8ViMcLCwtC9e3eMGzcOEydOtHmhzPLSXWWtshMmTKj15NryQmXjxo3Rr18/h+s8/PDDaNy4MX777Tf8+uuv0Ov1iIqKwqhRo/Dwww/bDY/3+uuv44033sB///tf7Ny5EybT/2/vjn0SB+Mwjj83lIHBACExbg1/A2E0MUydGBQwxomUDkTiRNKJP4CBCQdYcSWSiJNGRwmLhsGAs5uJkxOmwe1yRu/Eu5eUnN/P/LZ93k7P8GvfQEEQaHt7W5Jk27b6/b6Oj491fn6u29tbBUGgZDL58+RFx3G+tI+v3vPw8FAXFxcaj8e6vr7Wy8uL1tfXlc/nVSqVPvzLy6+i0ajq9bqGw6Emk4mm06ksy9LGxoZ2dna0v7+vWCz25ppCoaDRaKTBYCDXdRfaVzqdVqfTked5qlarOjo60ubm5pfezbKdnZ0pHo+/O5AIwHL9mM/n87BDAADearfbajabOjg4ULVaDTvOf202m2lra0uJREKnp6dhxzHi5uZGu7u7cl1XtVot7DjAt8LMNQCsmOfnZ3W7XVmWZewobPxeJBJRpVLR/f29rq6uwo5jRKfT0dramsrlcthRgG+Hcg0AK6LX68n3feVyOT0+Pmpvb+/DDxlhXrFYlG3barVaYUf5Z3d3d7q8vJTnee9GYAAsH2MhAPCJp6cnNRqNhdamUil5nvdXz/F9XycnJ0okEnIcR77v//GIbQDA6qFcA8AnHh4elM1mF1qbyWTU7XaXnAgAsKoo1wAAAIAhzFwDAAAAhlCuAQAAAEMo1wAAAIAhlGsAAADAEMo1AAAAYAjlGgAAADCEcg0AAAAYQrkGAAAADHkFgRVQR9OmA1UAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "system.table.mpl(\n",
    "    x=\"Bz_hysteresis\", y=[\"mz\"], marker=\"o\", linewidth=2, linestyle=\"dashed\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `micromagneticdata` analysis\n",
    "\n",
    "We can also analyse magnetisation fields at different values of external magnetic field as well as building interactive plots using `micromagneticdata` package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import micromagneticdata as md"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can create a data object by passing system's name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "data = md.Data(name=system.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can have a look at all drives we did so far:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>adapter</th>\n",
       "      <th>Hsteps</th>\n",
       "      <th>n_threads</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2024-08-12</td>\n",
       "      <td>13:25:57</td>\n",
       "      <td>HysteresisDriver</td>\n",
       "      <td>oommfc</td>\n",
       "      <td>[[[0, 0, -795774.7154594767], [0, 0, 795774.71...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   drive_number        date      time            driver adapter  \\\n",
       "0             0  2024-08-12  13:25:57  HysteresisDriver  oommfc   \n",
       "\n",
       "                                              Hsteps n_threads  \n",
       "0  [[[0, 0, -795774.7154594767], [0, 0, 795774.71...      None  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is only one drive with index `0`. We can get if by indexing the data object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "drive = data[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The number of steps saved is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "41"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can get an individual step by passing a value between 0 and 40 as an index:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "drive[0].sel(\"x\").mpl()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also interactively plot all individual steps by using `drive.hv`. For more details on creating interactive plots, please refer to other tutorials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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  var force = true;\n  var py_version = '3.4.2'.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-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.2.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/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));",
      "application/vnd.holoviews_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
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     "data": {
      "application/javascript": "\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 || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to 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",
      "application/vnd.holoviews_load.v0+json": ""
     },
     "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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='p1002'>\n",
       "  <div id=\"e56c1127-581e-4f66-a652-fa8adcf7d2d0\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"45819fa5-f482-4926-8305-3da5dc9bdcbc\":{\"version\":\"3.4.2\",\"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\":\"74257971dc5748c3b454d3b182fa2a18\",\"client_comm_id\":\"fc4ecdfaf4c3484580c0e869fd82135d\"}}],\"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\":\"45819fa5-f482-4926-8305-3da5dc9bdcbc\",\"roots\":{\"p1002\":\"e56c1127-581e-4f66-a652-fa8adcf7d2d0\"},\"root_ids\":[\"p1002\"]}];\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>"
      ]
     },
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1002"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "db2a410f825e45c3bc68302ec0ef1d97",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "BokehModel(combine_events=True, render_bundle={'docs_json': {'7a6b5885-66ba-4161-b4ff-4f0ce1b8219e': {'version…"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.hv(kdims=[\"x\", \"y\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multi-step Hysteresis Drivers\n",
    "Ubermag also provides a flexible version of a hysteresis driver which enables a hysteresis loop to be broken down into multiple curves.\n",
    "A list of hysteresis loop segments can be provided as an argument `Hsteps`. Each element of the list has the form `(Hstart, Hend, n)`.\n",
    "\n",
    "To see the power of this technique, we will first initialise the field and then perform a full hysteresis loop including the virgin curve."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "system.m = df.Field(\n",
    "    mesh,\n",
    "    nvdim=3,\n",
    "    value=lambda x: (0, 0, -1) if x[0] > 0 else (0, 0, 1),\n",
    "    norm=Ms_fun,\n",
    "    valid=\"norm\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running OOMMF (ExeOOMMFRunner)[2024/08/12 13:26]... (2.6 s)\n"
     ]
    }
   ],
   "source": [
    "hd = mc.HysteresisDriver()\n",
    "hd.drive(system, Hsteps=[[(0, 0, 0), Hmax, 10], [Hmax, Hmin, 10], [Hmin, Hmax, 20]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally we can plot the full curve."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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(\n",
    "    x=\"Bz_hysteresis\", y=[\"mz\"], marker=\"o\", linewidth=2, linestyle=\"dashed\"\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}