{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Biochemistry 714 - Assessment 1 - MEMO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### General marking guidelines\n",
    "\n",
    "- Download your own submission as well as that of the classmate which you are marking, from the course website. Refer to [this spreadsheet](https://stellenbosch-my.sharepoint.com/:x:/g/personal/jr_sun_ac_za/IQCf6O8IKYN1S7X16ivDV_WnAX5vhLZdFurZ-QP6uyMS7JM?e=BhN3Ln) for details on who is marking which assignment. Also enter the marks on that spreadsheet.\n",
    "- Use this Jupyter notebook as memo and the marks per question as per the assignment instructions.\n",
    "- Every student starts out with a “full set of marks”, and one mark is deducted for every “mistake”.\n",
    "- Before starting the marking, you need to **physically verify that each notebook runs without errors**. Open the notebook in Jupyter Lab and **execute each cell sequentially from top to bottom**.\n",
    "- Note that you will have to use some discretion as students may have answered the questions differently and the memo cannot possibly cover all scenarios.\n",
    "- Enter the mark for each question in the spreadsheet, the total is calculated automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# preliminaries\n",
    "%matplotlib widget\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import scipy as sp\n",
    "import scipy.optimize\n",
    "import scipy.stats\n",
    "import pandas as pd\n",
    "import os\n",
    "from lmfit import Model\n",
    "backupdir = os.getcwd()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 1 (15 marks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5 marks for reading in the data. Check one or two of the dataframes to verify that the data has loaded correctly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "a0b0 = pd.read_csv(\"A0B0.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a0_5b24 = pd.read_csv(\"A0.5B24.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a1b24 = pd.read_csv(\"A1B24.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a2b24 = pd.read_csv(\"A2B24.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a4b24 = pd.read_csv(\"A4B24.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a8b24 = pd.read_csv(\"A8B24.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a8b1_5 = pd.read_csv(\"A8B1.5.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a8b3 = pd.read_csv(\"A8B3.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a8b6 = pd.read_csv(\"A8B6.csv\", names=[\"Time\", \"NADPH\"])\n",
    "a8b12 = pd.read_csv(\"A8B12.csv\", names=[\"Time\", \"NADPH\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5 marks for the plot where $a$ was varied. Make sure axis labels and legend are there, if not deduct a mark for each."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f9998406270>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ba528d15d66146b9a752f33107ff2f9f",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(a0_5b24.Time, a0_5b24.NADPH, 'o', label='a = 0.5 mM')\n",
    "ax.plot(a1b24.Time, a1b24.NADPH, 'o', label='a = 1 mM')\n",
    "ax.plot(a2b24.Time, a2b24.NADPH, 'o', label='a = 2 mM')\n",
    "ax.plot(a4b24.Time, a4b24.NADPH, 'o', label='a = 4 mM')\n",
    "ax.plot(a8b24.Time, a8b24.NADPH, 'o', label='a = 8 mM')\n",
    "ax.set_xlabel('Time (min)')\n",
    "ax.set_ylabel('[NADPH] (mM)')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5 marks for the plot where $b$ was varied. Make sure axis labels and legend are there, if not deduct a mark for each."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f9996319010>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "52380c3bbe574bdbb9dde33351046fa4",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(a8b1_5.Time, a8b1_5.NADPH, 'o', label='b = 1.5 mM')\n",
    "ax.plot(a8b3.Time, a8b3.NADPH, 'o', label='b = 3 mM')\n",
    "ax.plot(a8b6.Time, a8b6.NADPH, 'o', label='b = 6 mM')\n",
    "ax.plot(a8b12.Time, a8b12.NADPH, 'o', label='b = 12 mM')\n",
    "ax.plot(a8b24.Time, a8b24.NADPH, 'o', label='b = 24 mM')\n",
    "ax.set_xlabel('Time (min)')\n",
    "ax.set_ylabel('[NADPH] (mM)')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 2 (5 marks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5 marks for performing the linear regressions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "rega0b0 = sp.stats.linregress(a0b0.Time, a0b0.NADPH)\n",
    "rega0_5b24 = sp.stats.linregress(a0_5b24.Time, a0_5b24.NADPH)\n",
    "rega1b24 = sp.stats.linregress(a1b24.Time, a1b24.NADPH)\n",
    "rega2b24 = sp.stats.linregress(a2b24.Time, a2b24.NADPH)\n",
    "rega4b24 = sp.stats.linregress(a4b24.Time, a4b24.NADPH)\n",
    "rega8b24 = sp.stats.linregress(a8b24.Time, a8b24.NADPH)\n",
    "rega8b1_5 = sp.stats.linregress(a8b1_5.Time, a8b1_5.NADPH)\n",
    "rega8b3 = sp.stats.linregress(a8b3.Time, a8b3.NADPH)\n",
    "rega8b6 = sp.stats.linregress(a8b6.Time, a8b6.NADPH)\n",
    "rega8b12 = sp.stats.linregress(a8b12.Time, a8b12.NADPH)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check one or two of the regressions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinregressResult(slope=np.float64(0.8250788434733143), intercept=np.float64(0.00028478787459591814), rvalue=np.float64(0.997321721156692), pvalue=np.float64(1.5527420215041492e-11), stderr=np.float64(0.020169300031758045), intercept_stderr=np.float64(0.0011932318815715422))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rega8b24"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 3 (10 marks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There may be more ways to do this, below I have illustrated one way. The most important thing is that the dataframe that you get out must have the **correct structure** (in terms of columns) and the **correct values**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "a_vals = [0, 0.5, 1, 2, 4, 8, 8, 8, 8, 8]\n",
    "b_vals = [0, 24, 24, 24,24, 24, 1.5, 3, 6, 12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.004954646341627726\n",
      "0.24118661159479945\n",
      "0.3526304449083254\n",
      "0.5746500696105541\n",
      "0.7322856639928835\n",
      "0.8250788434733143\n",
      "0.25422083243133853\n",
      "0.3679535702854621\n",
      "0.556408829374724\n",
      "0.7012039804663761\n"
     ]
    }
   ],
   "source": [
    "regressions = [rega0b0, rega0_5b24, rega1b24, rega2b24, rega4b24, \\\n",
    "               rega8b24, rega8b1_5, rega8b3, rega8b6, rega8b12]\n",
    "rates = []\n",
    "for reg in regressions:\n",
    "    print(reg.slope)\n",
    "    rates.append(reg.slope)\n",
    "rates = np.array(rates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.00495465, 0.24118661, 0.35263044, 0.57465007, 0.73228566,\n",
       "       0.82507884, 0.25422083, 0.36795357, 0.55640883, 0.70120398])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined = pd.DataFrame({'A': a_vals, 'B': b_vals, 'rate': rates})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Double check the combined dataframe with the data given below.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "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>A</th>\n",
       "      <th>B</th>\n",
       "      <th>rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.004955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.5</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.241187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.352630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.574650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.732286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.825079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.254221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.367954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.556409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.701204</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     A     B      rate\n",
       "0  0.0   0.0  0.004955\n",
       "1  0.5  24.0  0.241187\n",
       "2  1.0  24.0  0.352630\n",
       "3  2.0  24.0  0.574650\n",
       "4  4.0  24.0  0.732286\n",
       "5  8.0  24.0  0.825079\n",
       "6  8.0   1.5  0.254221\n",
       "7  8.0   3.0  0.367954\n",
       "8  8.0   6.0  0.556409\n",
       "9  8.0  12.0  0.701204"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Backup data for Q3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If the person you are grading did not manage to do Q2 and used the provided backup data, they get **5/10** for Q3, **provided that the dataframe is correct**. The cells below capture the backup data from the assignment into a dataframe, for reference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_array = np.array(\n",
    "    [[0, 0, 0],\n",
    "    [0.5, 24, 0.512],\n",
    "    [1, 24, 0.816],\n",
    "    [2, 24, 1.202],\n",
    "    [4, 24, 1.561],\n",
    "    [8, 24, 1.747],\n",
    "    [8, 1.5, 0.603],\n",
    "    [8, 3, 0.912],\n",
    "    [8, 6, 1.267],\n",
    "    [8, 12, 1.558]]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined2 = pd.DataFrame(data_array, columns=['A', 'B', 'rate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "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>A</th>\n",
       "      <th>B</th>\n",
       "      <th>rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.5</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.558</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     A     B   rate\n",
       "0  0.0   0.0  0.000\n",
       "1  0.5  24.0  0.512\n",
       "2  1.0  24.0  0.816\n",
       "3  2.0  24.0  1.202\n",
       "4  4.0  24.0  1.561\n",
       "5  8.0  24.0  1.747\n",
       "6  8.0   1.5  0.603\n",
       "7  8.0   3.0  0.912\n",
       "8  8.0   6.0  1.267\n",
       "9  8.0  12.0  1.558"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 4 (10 marks)\n",
    "\n",
    "For questions 4 and 5 I have provided answers for both scenarios:\n",
    "- first for the real initial rates (generated by linear regression)\n",
    "- then for the backup data\n",
    "\n",
    "There is **no further penalty** if a student used the backup data. Just continue marking using the relevant section of the memo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Start out with a full 10 marks and deduct 1 mark for each mistake**. Pay particular attention to:\n",
    "- the rate equation is defined correctly\n",
    "- the `lmfit` `Model` is defined correctly (note the `independent_vars`)\n",
    "- the fit is setup correctly with including passing through the data for the independent variables $a$ and $b$\n",
    "\n",
    "If **no units** are provided for the parameters, $-1$ mark."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# irreversible Michaelis-Menten (initial p=0)\n",
    "def MM(a, b, Vf, Ka, Kb):\n",
    "    return Vf*a*b/((Ka+a)*(Kb+b))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h2>Fit Result</h2> <p>Model: Model(MM)</p> <table class=\"jp-toc-ignore\"><caption class=\"jp-toc-ignore\">Fit Statistics</caption><tr><td style='text-align:left'>fitting method</td><td style='text-align:right'>leastsq</td></tr><tr><td style='text-align:left'># function evals</td><td style='text-align:right'>25</td></tr><tr><td style='text-align:left'># data points</td><td style='text-align:right'>10</td></tr><tr><td style='text-align:left'># variables</td><td style='text-align:right'>3</td></tr><tr><td style='text-align:left'>chi-square</td><td style='text-align:right'> 0.00248796</td></tr><tr><td style='text-align:left'>reduced chi-square</td><td style='text-align:right'> 3.5542e-04</td></tr><tr><td style='text-align:left'>Akaike info crit.</td><td style='text-align:right'>-76.9887719</td></tr><tr><td style='text-align:left'>Bayesian info crit.</td><td style='text-align:right'>-76.0810166</td></tr><tr><td style='text-align:left'>R-squared</td><td style='text-align:right'> 0.99588985</td></tr></table><table class=\"jp-toc-ignore\"><caption>Parameters</caption><tr><th style='text-align:left'>name</th><th style='text-align:left'>value</th><th style='text-align:left'>standard error</th><th style='text-align:left'>relative error</th><th style='text-align:left'>initial value</th><th style='text-align:left'>min</th><th style='text-align:left'>max</th><th style='text-align:right'>vary</th></tr><tr><td style='text-align:left'>Vf</td><td style='text-align:left'> 1.20594964</td><td style='text-align:left'> 0.04570438</td><td style='text-align:left'>(3.79%)</td><td style='text-align:left'>1.0</td><td style='text-align:left'>       -inf</td><td style='text-align:left'>        inf</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>Ka</td><td style='text-align:left'> 1.61269234</td><td style='text-align:left'> 0.13567971</td><td style='text-align:left'>(8.41%)</td><td style='text-align:left'>1.0</td><td style='text-align:left'>       -inf</td><td style='text-align:left'>        inf</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>Kb</td><td style='text-align:left'> 4.89874506</td><td style='text-align:left'> 0.41256005</td><td style='text-align:left'>(8.42%)</td><td style='text-align:left'>1.0</td><td style='text-align:left'>       -inf</td><td style='text-align:left'>        inf</td><td style='text-align:right'>True</td></tr></table><table class=\"jp-toc-ignore\"><caption>Correlations (unreported values are < 0.100)</caption><tr><th style='text-align:left'>Parameter1</th><th style='text-align:left'>Parameter 2</th><th style='text-align:right'>Correlation</th></tr><tr><td style='text-align:left'>Vf</td><td style='text-align:left'>Kb</td><td style='text-align:right'>+0.7926</td></tr><tr><td style='text-align:left'>Vf</td><td style='text-align:left'>Ka</td><td style='text-align:right'>+0.7903</td></tr><tr><td style='text-align:left'>Ka</td><td style='text-align:left'>Kb</td><td style='text-align:right'>+0.3778</td></tr></table>"
      ],
      "text/plain": [
       "<lmfit.model.ModelResult at 0x7f999639dd30>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mymod = Model(MM, independent_vars=('a', 'b'))\n",
    "mypar = mymod.make_params(Vf=1, Ka=1, Kb=1)\n",
    "myfit = mymod.fit(combined.rate, mypar, a=combined.A, b=combined.B)\n",
    "myfit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Fit results:**    \n",
    "Vf = 1.206 +- 0.046 mM/min    \n",
    "Ka = 1.613 +- 0.136 mM    \n",
    "Kb = 4.899 +- 0.413 mM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Backup data for Q4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h2>Fit Result</h2> <p>Model: Model(MM)</p> <table class=\"jp-toc-ignore\"><caption class=\"jp-toc-ignore\">Fit Statistics</caption><tr><td style='text-align:left'>fitting method</td><td style='text-align:right'>leastsq</td></tr><tr><td style='text-align:left'># function evals</td><td style='text-align:right'>21</td></tr><tr><td style='text-align:left'># data points</td><td style='text-align:right'>10</td></tr><tr><td style='text-align:left'># variables</td><td style='text-align:right'>3</td></tr><tr><td style='text-align:left'>chi-square</td><td style='text-align:right'> 0.00239701</td></tr><tr><td style='text-align:left'>reduced chi-square</td><td style='text-align:right'> 3.4243e-04</td></tr><tr><td style='text-align:left'>Akaike info crit.</td><td style='text-align:right'>-77.3611693</td></tr><tr><td style='text-align:left'>Bayesian info crit.</td><td style='text-align:right'>-76.4534140</td></tr><tr><td style='text-align:left'>R-squared</td><td style='text-align:right'> 0.99912209</td></tr></table><table class=\"jp-toc-ignore\"><caption>Parameters</caption><tr><th style='text-align:left'>name</th><th style='text-align:left'>value</th><th style='text-align:left'>standard error</th><th style='text-align:left'>relative error</th><th style='text-align:left'>initial value</th><th style='text-align:left'>min</th><th style='text-align:left'>max</th><th style='text-align:right'>vary</th></tr><tr><td style='text-align:left'>Vf</td><td style='text-align:left'> 2.42693312</td><td style='text-align:left'> 0.03816855</td><td style='text-align:left'>(1.57%)</td><td style='text-align:left'>1.0</td><td style='text-align:left'>       -inf</td><td style='text-align:left'>        inf</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>Ka</td><td style='text-align:left'> 1.52668041</td><td style='text-align:left'> 0.05843607</td><td style='text-align:left'>(3.83%)</td><td style='text-align:left'>1.0</td><td style='text-align:left'>       -inf</td><td style='text-align:left'>        inf</td><td style='text-align:right'>True</td></tr><tr><td style='text-align:left'>Kb</td><td style='text-align:left'> 3.65274425</td><td style='text-align:left'> 0.13865982</td><td style='text-align:left'>(3.80%)</td><td style='text-align:left'>1.0</td><td style='text-align:left'>       -inf</td><td style='text-align:left'>        inf</td><td style='text-align:right'>True</td></tr></table><table class=\"jp-toc-ignore\"><caption>Correlations (unreported values are < 0.100)</caption><tr><th style='text-align:left'>Parameter1</th><th style='text-align:left'>Parameter 2</th><th style='text-align:right'>Correlation</th></tr><tr><td style='text-align:left'>Vf</td><td style='text-align:left'>Ka</td><td style='text-align:right'>+0.8025</td></tr><tr><td style='text-align:left'>Vf</td><td style='text-align:left'>Kb</td><td style='text-align:right'>+0.7651</td></tr><tr><td style='text-align:left'>Ka</td><td style='text-align:left'>Kb</td><td style='text-align:right'>+0.3759</td></tr></table>"
      ],
      "text/plain": [
       "<lmfit.model.ModelResult at 0x7f99962107d0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mymod2 = Model(MM, independent_vars=('a', 'b'))\n",
    "mypar2 = mymod2.make_params(Vf=1, Ka=1, Kb=1)\n",
    "myfit2 = mymod2.fit(combined2.rate, mypar, a=combined2.A, b=combined2.B)\n",
    "myfit2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Fit results:**    \n",
    "Vf = 2.427 +- 0.034 mM/min    \n",
    "Ka = 1.527 +- 0.052 mM    \n",
    "Kb = 3.653 +- 0.123 mM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 5 (10 marks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5 marks for each graph. Pay attention that:\n",
    "- the correct data is plotted for each graph, and the correct model evaluation (i.e. data and model must agree within experimental error)\n",
    "- axis labels are given, including units\n",
    "- a legend is given"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f999639f230>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e858416f1ea14b9486b54e18a5a3cc42",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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LnkHZJ+Xn1O4VtT9mTKQaFWwavf/nTpayeFxFD2gItAAaxMLtd5zjKrYP41Lvp/iC+88IKaNGmiGTNmaNWqVbLb7frd735X/Px7772n1q1b67777tO9995bUYkB+ArHSesM3J9XS3vTpJ9XSUd2ld6uWpC1+zamnVX46rezzs6l7AHlQgGsTCfzpckxlf+5j+2XAmpe1KahoaEKDg6W3W4vcwqd8PBw2e12BQcHn3eKHQA4r7xDp4temnW/b6106kTp7eo2l+p3kBq0twpfZCJXzQDciAIIAKgYLpd0aJuU/q112/udlL2j9HZBYVKDjqdvHazRveq1Kz0u4EsogJXJv4Y1GmficwGgop0qsqZfSV95tvCdyC69Xb2WUmyS1CBJik0+Pf1K6cn3AVQcCmBlstkueldsVRYQECCHo4ypFgD4lsLjVslLXyntWWmdtHGqoOQ21apbu3AbJkuxv5FiOzK6B1QBFEBcsri4OH355Ze64447FBgYqLp165qOBKAynDhqjeztWSHt+caae++X8+7VqCM17HT69htrzr1qASbSArgACiAu2ZNPPqk//vGPatKkiQoLC5kGBvBWBTlW0dv1lbT7K2vuPf3iv/ewhlLDzlKjTtZ93WacmQt4AJuLX+9yy83NVWhoqHJychQSElLiuYKCAu3atUvx8fEKCgoylNDz8ecIVKLC41bh2/2lVfoyfyh9GbXwJlJcF6nR6VtYrJmswGW40O+3r2AEEAB81alCa969nculXcutCZedp0puE95Eiu8mxXWzCl9ItJmsANyKAggAvsLplLI2STuWSjuXWidu/HIOvrBGVuGLv0aK62pdWQOA16EAAoA3y90v7fjCKn27lkt5B0s+XzNCir9aanyNdV87zkhMAJWLAggA3uTkCes4vh1fSNtTpYM/lnzev6Z1DF/ja6XG3aWIKzhpA/BBFEAA8GQul3R4h7R9ifTTEmnP17+Yi89mzcPX5Fqr9DXoyLQsACiAFY2TrC8Pf35AGYrypd0rpJ8+s4rfkd0lnw+OkZpeJzXpYY3y1Qg3kRJAFUYBrCD+/tZFy/Pz81W9enXDaTxXfn6+pLN/noDPOrpX+ulTadun0q4vS47y+flb8/A17SU162Vdao3dugAugAJYQex2u8LCwpSVlSVJqlGjhmz8D/miuVwu5efnKysrS2FhYbLb7aYjwYc4nC6l7cpW1rECRQQHKSk+XHa/Sv7v1+mwpmXZusgqfVmbSz4f0sAqe816WSdvBAZXbj4AHo0CWIGioqIkqbgE4tKFhYUV/zkClWHxxgxNWrhZGTlnR9iiQ4OU0i9BfRIreA68ojxp57Kzpe/cM3ZtflJsstTseql5bykigVE+AOXGlUAuw8XOJO5wOHTy5MlKTOYd/P39GflDpVq8MUMj3lr7y4ud6UzNmj6onftLYN4haesn0paPrbn5zt21GxgqNespNb9BatqDY/kAN+FKIIwAVgq73U6RAao4h9OlSQs3lyp/knX1W5ukSQs3q1dC1OXvDj6y2yp8P34k7f225OXWwhpJLW6UWtwgNeos2Tn+FYD7UQABQFLaruwSu31/ySUpI6dAabuy1alJnUv/gIPbpB//J23+0LrG7rmiW0st+0ktb2TXLoBKQQEEAElZx85f/sqznVwu6cAm6ccPpc3/kw5uOfuczc+6rm7Lm6SWfaWw2HIkBoDyowACgKSI4CD3bJf1o7Tpfet2aNvZ9X7+1px8CTdLLfpKNcsxiggAbkIBBABJSfHhig4NUmZOQZnHAdokRYVaU8KUcnCbtOk9q/SdO9JnD5Sa9rRKX/M+UvWwCkoPAJeGAggAkux+NqX0S9CIt9bKJpUogWeOyEvpl3D2BJCje6WN70obF0iZG855owCr9F15q1X6gnzzDEMAVRsFEABO65MYremD2pWaBzDqzDyA8f5S2kxpwwLr7N0z/KpZl11L/K119m5QqIH0AHDxKIAAcI4+idHqlRBVfCWQqOpSx6Lv5PfDg9J7n0vOU6e3tElxXaXE26SEW5ijD4BHoQACwC/Y5VInv03S7vnWGbxFx84+Gd1GavV7axdvSIyxjABwOSiAAHDG4R3S+v9K6+dJOXvPrg9taJW+VgOkes3N5QMAN6EAAvBtBbnW2bvr5pY8ri8wVEq8VWp1h3UNXj8/cxkBwM0ogAB8j8slpa+U1r4pbf5AOplvrbf5SU2uk9rcZV2Ozb+60ZgAUFEogAB8x7ED0vq50vdvSYe3n11ft7nUZqC1izck2lw+AKgkFEAA3s3plHYuldbMlrZ+cvYsXv+a1i7etoOl2CSuvwvAp1AAAXin41nS929Ka96Qju45u75BktTubuss3sBgc/kAwCAKIADv4XJJe762Jmve8tHZ0b7AUKn1HVL7oVJkgtGIAFAVUAABeL7CY9bULatelw7+eHZ9g45S+2HWaF9ADXP5AKCKoQAC8FwHt0lpM6zyd2ayZv8a1px9He+Roq4ymw8AqigKIADP4nRKO1Klb6db92fUaWaVvtZ3SNXDjMUDAE9AAQTgGQqPW5M1p712zhQuNmu+vqR7pcbdOZMXAC4SBRBA1Zazzyp9q+dIhTnWusAQqe3dVvELjzcaDwA8EQUQQNWU8YO08mVp47tnz+YNbyIl3y+1uZMpXADgMlAAAVQdLpd1XN/XL0q7lp9d36ir1HmU1Kw31+QFADegAAIwz+mwrsm74l9S5gZrnc0uXdlf6jRKqt/OZDoA8DoUQADmnCywrs379YvSkV3WOv8aUrshUqc/SWENzeYDAC9FAQRQ+QqPS6tnWcf4HT9grate2zq+L+k+qUa42XwA4OUogAAqT0GuNXHzymnSiWxrXUgD6/i+doOlgJpm8wGAj6AAAqh4J45I370mffuKVHB6Kpfa8VK3P0utBkjVAszmAwAfQwEEUHEKcqwrdqycJhXmWuvqNpe6PSwl3ibZ+V8QAJjA/30BuF/hMem7V6VvXjo74hdxpXT1w1LCLZKf3Ww+APBxFEAA7lOUJ6XNlL5+4ewxfvVaSt3HSVfcwhx+AFBFUAABXL5TRdLaN6Tl/5Dysqx1dZpK3cdLV97KiB8AVDEUQADl53Ral2pb+jfpyG5rXVgjq/hd9TuO8QOAKor/OwO4dC6X9NMSKfVJ6cDpK3fUjJCu+Ys1iTNn9QJAlUYBBHBp9q+TPpsg7f7KehwYInUZI/1mBPP4AYCHoAACuDg5P0upT0k/zLMe2wOl5PukrmO5cgcAeBgKIIALK8iVVvzLmsT5VIG1rtUA6boJXKsXADwUBRBA2ZwO6fu3rOP88g9Z6xp1ka7/m1S/ndlsAIDLQgEEUNqeldLiR6WM9dbjOk2lXk9KLW6UbDaz2QAAl40CCOCsnJ+lJROtqV0k6wSP7uOkjvdyZi8AeBEKIADpVKH0zYvSl89Jp05IskntBkvXPS7Vqmc6HQDAzSiAgK/b8YW06BHp8HbrccNO0g3PSNGtzeYCAFQYCiDgq3L3S58+Jm1633pcK1K6/u/SVbdznB8AeDkKIOBrHKek716Vlk2Rio5LNj8p6T7p2sekoFDT6QAAlYACCPiS/d9LH46WMn+wHjdIkvo+J0W3MpsLAFCpKICALyjKk5ZOtiZzdjmloDBrWpe2d0t+fqbTAQAqGQUQ8HbbU6WPHpSOpluPE2+T+jwt1YowGgsAYA4FEPBW+dnS4vFnr90bGiv1fV5qfr3ZXAAA4yiAgDfassga9Tt+QJJNSr7funZvYC3TyQAAVQAFEPAm+dnS4nHSD/Otx3WbS7e8IsV2NJsLAFClUAABb3HuqJ/NT+r8gNT9Mck/yHQyAEAV41Wn/02bNk1xcXEKCgpScnKy0tLSLrj90aNHNXLkSEVHRyswMFDNmzfXokWLKikt4CYFudL7I6R5d1rlr25z6Q9LrLN8KX8AgDJ4zQjg/PnzNXbsWL366qtKTk7W1KlT1bt3b23dulUREaXPdiwqKlKvXr0UERGhBQsWqH79+tqzZ4/CwsIqPzxQXnu+kd7/o3WGL6N+AICLZHO5XC7TIdwhOTlZHTt21MsvvyxJcjqdio2N1QMPPKBx48aV2v7VV1/Vs88+qy1btsjf379cn5mbm6vQ0FDl5OQoJCTksvIDl+RUkbRssrRiqiSXFNZI+u0MqeFvTCcDgCqP328v2QVcVFSkNWvWqGfPnsXr/Pz81LNnT61cubLM13z44Yfq1KmTRo4cqcjISCUmJmry5MlyOByVFRson6wt0r97SCv+JckltRkk3b+C8gcAuGhesQv40KFDcjgcioyMLLE+MjJSW7ZsKfM1O3fu1BdffKGBAwdq0aJF2r59u/70pz/p5MmTSklJKfM1hYWFKiwsLH6cm5vrvi8B/BqXS1oz25rb71SBVD1c6veClHCz6WQAAA/jFQWwPJxOpyIiIjRjxgzZ7Xa1b99e+/bt07PPPnveAjhlyhRNmjSpkpMCkk4clRaOkTZ/YD1u0kPq/4oUHGUyFQDAQ3nFLuC6devKbrfrwIEDJdYfOHBAUVFl/0BGR0erefPmstvtxeuuuOIKZWZmqqioqMzXjB8/Xjk5OcW3vXv3uu9LAOfz82rptW5W+fOrJvV6Shq4gPIHACg3ryiAAQEBat++vVJTU4vXOZ1OpaamqlOnTmW+pkuXLtq+fbucTmfxum3btik6OloBAQFlviYwMFAhISElbkCFcTqlr1+QZvW2zvINayQN/0zqMlry84r/dAEAhnjNr8jYsWM1c+ZMvfHGG/rxxx81YsQI5eXladiwYZKkwYMHa/z48cXbjxgxQtnZ2RozZoy2bdumjz/+WJMnT9bIkSNNfQXgrPxsae7vpSUTJecpKaG/dP9XUoP2ppMBALyA1xwDOGDAAB08eFATJ05UZmam2rRpo8WLFxefGJKeni6/c0ZNYmNj9emnn+qhhx5Sq1atVL9+fY0ZM0aPPvqoqa8AWPatld4ZIuWkS9WCpBuekdoNkWw208kAAF7Ca+YBNIF5hFAWh9OltF3ZyjpWoIjgICXFh8vudxHlzeWS1syRPvmL5CiSasdLA96Uoq6q8MwA4Ev4/faiEUCgKli8MUOTFm5WRk5B8bro0CCl9EtQn8To87+wKF9a9LC07m3rcYsbpf7TpephFRsYAOCTvOYYQMC0xRszNOKttSXKnyRl5hRoxFtrtXhjRtkvzN4lvX69Vf5sflLPJ6QBb1P+AAAVhgIIuIHD6dKkhZtV1vEUZ9ZNWrhZDucvtti5XJp5rXRgg1SznjT4f1LXhzjLFwBQofiVAdwgbVd2qZG/c7kkZeQUKG1X9ukVLum716Q3b5VOHJFi2kn3LZfir66cwAAAn8YxgIAbZB07f/krtd2pQunjP0vfv2mtbDXAuqSbf/UKTAgAwFkUQMANIoKDLmq7+tWOSW8Mk/Z+d/p4v0lS5weY4gUAUKkogIAbJMWHKzo0SJk5BWUeB2iT1DU4Q+0/e0TK3ScFhkq3z5Ka9azsqAAAcAwg4A52P5tS+iVIssreuWySrvFbp9mux2XL3SfVaSbd+wXlDwBgDAUQcJM+idGaPqidokJL7g4eUWu5ZgU+p2qn8qW4btI9S6S6TQ2lBACAXcCAW/VJjFavhCjrSiC5+er401TFbP639WSbgdJNU6VqAUYzAgBAAQTczO5nU6fY6tL7Y6QfF1orr50gXf0wJ3sAAKoECiDgbvnZ0twB0s9pkj1AuuUVqdXvTKcCAKAYBRBwp5yfpTd/Kx3aKgWFSXf+V2rU2XQqAABKoAAC7nJwq3Vlj9x9UnCMdPd7UsQVplMBAFAKBRBwh72rpLm/sy7rVre5NOg9KSzWdCoAAMpEAQQu109LpPl3S6dOSPU7SAP/T6oRbjoVAADnRQEELseGBdL7f5Scp6SmvaTfvyEF1DSdCgCAC6IAAuX1/dvS/0ZKcklX/V7q/4pk9zedCgCAX8WVQIDyWPVv6X9/kuSS2g+Tbn2N8gcA8BjGRgCdTqeWL1+ur776Snv27FF+fr7q1auntm3bqmfPnoqN5QB6VFErp0mfPmYtJ4+Q+kxhgmcAgEep9BHAEydO6G9/+5tiY2N144036pNPPtHRo0dlt9u1fft2paSkKD4+XjfeeKO+/fbbyo4HXNiXz54tf10fovwBADxSpY8ANm/eXJ06ddLMmTPVq1cv+fuX3m22Z88ezZ07V3fccYf++te/6t57763smEBJLpf0xd+kr/5pPb72r9LVj1D+AAAeyeZyuVyV+YE//vijrrji4ibHPXnypNLT09WkSZMKTlU+ubm5Cg0NVU5OjkJCQkzHQUVaOlla/oy13OtJqcsYs3kAAOXG77eBEcCLLX+S5O/vX2XLH3zI8mfPlr/eU6ROfzKbBwCAy2R8GpijR48qLS1NWVlZcjqdJZ4bPHiwoVTAaSv+JS39m7Xc60nKHwDAKxgtgAsXLtTAgQN1/PhxhYSEyHbO8VQ2m40CCLNWTpM+f8Javu5xdvsCALyG0XkA//znP2v48OE6fvy4jh49qiNHjhTfsrOzTUaDr/tuxtmzfbuPl65+2GweAADcyGgB3Ldvn0aPHq0aNWqYjAGUtGaO9Mkj1nK3h6VrHjUaBwAAdzNaAHv37q3Vq1ebjACUtOkDaeGD1nLn0dJ1E5jqBQDgdYweA9i3b1898sgj2rx5s6666qpScwLefPPNhpLBJ+34Qnr3HkkuqcNw66QPyh8AwAtV+jyA5/LzO/8ApM1mk8PhqMQ0l455hLzIz2ukN/pJJ/OkK2+Vbntd8rObTgUAqAD8fhseAfzltC+AEQe3Sm/fZpW/JtdJt86g/AEAvJrRYwAB446mS//pL504ItXvIP3+TalagOlUAABUqEofAXzxxRd13333KSgoSC+++OIFtx09enQlpYJPyjssvXmrdGy/VLeFNPD/pMBaplMBAFDhKv0YwPj4eK1evVp16tRRfHz8ebez2WzauXNnJSa7dBxD4MFOnpDeuFn6OU0KjZWGfyqF1jedCgBQCfj9NjACuGvXrjKXgUrjdErv32+Vv6BQadC7lD8AgE/hGED4ntRJ0uYPJD9/acDbUr0WphMBAFCpjJ4F7HK5tGDBAi1dulRZWVmlzgp+7733DCWD11o9W/p6qrV8y8tSfDejcQAAMMFoAXzwwQf12muv6dprr1VkZKRsTLqLivTT59LHf7aWu4+XWt9hNg8AAIYYLYBvvvmm3nvvPd14440mY8AXZG6Q/m+I5HJIre/k+r4AAJ9m9BjA0NBQNW7c2GQE+IJjB6S5A6Si41JcN6nfi1ziDQDg04wWwCeeeEKTJk3SiRMnTMaANztVJL0zWMrdJ9VpJg1gomcAAIzuAv7973+v//73v4qIiFBcXJz8/f1LPL927VpDyeAVXC5p0cPS3m+lwFDpzv9K1WubTgUAgHFGC+CQIUO0Zs0aDRo0iJNA4H6rX5fWviHJJt3+ulS3melEAABUCUYL4Mcff6xPP/1UXbt2NRkD3mj3CumT0yd69HxCatbLaBwAAKoSo8cAxsbG+uwlWFCBjqZbx/05T0mJt0tdxphOBABAlWK0AD733HP6y1/+ot27d5uMAW9SlC/Nu0vKPyxFtZJufokzfgEA+AWju4AHDRqk/Px8NWnSRDVq1Ch1Ekh2drahZPBILpe0cIw151+NutIdc6WAGqZTAQBQ5RgtgP/617848QPus2aOtOEdyWaXfv8fKSzWdCIAAKokIwXwiy++0DXXXKOhQ4ea+Hh4o/3rzp700WOiFNfFaBwAAKoyI8cA3nPPPapXr57uuusuzZ8/X7m5uSZiwFsU5FiXeXMUSs1vkDqPNp0IAIAqzUgB3Llzp5YtW6aEhAQ999xzioyMVK9evfTSSy8pPT3dRCR4KpdL+uBP0pHdUlhD6dbpkp/Rc5sAAKjybC6Xy2U6xP79+/Xhhx/qww8/1NKlS9WiRQvdfPPNuvnmm9WhQwfT8c4rNzdXoaGhysnJYTobU1a+In06XrIHSMMXS/Xbm04EAKji+P02PA3MGTExMbr//vu1aNEiHTp0SBMmTNDu3bvVp08fTZ482XQ8VFV706Qlj1vLvSdT/gAAuEhVYgTwfBwOh7Kzs1WvXj3TUcrE3yAMys+WXu0m5f4sXXmrdPts5vsDAFwUfr8NnQX8n//851e3sdlsuvvuu6ts+YNBZ+b7y/1ZCm/CZM8AAFwiIyOAfn5+qlWrlqpVq6bzfbzNZqvyE0HzNwhD1r4pfThK8qsm3fO5FNPWdCIAgAfh99vQCOAVV1yhAwcOaNCgQRo+fLhatWplIgY80eEdZ+f7u24C5Q8AgHIwchLIpk2b9PHHH+vEiRO6+uqr1aFDB02fPp35AHFhjpPSe/dKJ/OkRl2Z7w8AgHIydhZwcnKyXnvtNWVkZGj06NF65513FB0drYEDB6qwsNBULFRly/8h7VsjBYVKv31N8rObTgQAgEcyPg1M9erVNXjwYE2aNElJSUmaN2+e8vPzTcdCVbNnpfTVP63lm/4lhTYwmwcAAA9mtADu27dPkydPVrNmzXTHHXeoY8eO2rRpk2rXrm0yFqqaghzpvfskl1NqdYeUeJvpRAAAeDQjJ4G88847mj17tpYvX67evXvrueeeU9++fWW3s0sPZVj0FyknXQprJN34rOk0AAB4PGPTwDRs2FADBw5UZGTkebcbPbpqH+TPaeSVYOsn0n/vkGx+0rBPpIa/MZ0IAODh+P02VADj4uJk+5WJe202m3bu3FlJicqHf4Eq2Ikj0rTfSMczpc4PSNf/zXQiAIAX4Pfb0C7g3bt3m/hYeJpP/2qVvzpNpWv/ajoNAABew/hZwECZfloirXtbkk26ZZrkX910IgAAvIaREcBzrVq1SkuXLlVWVpacTmeJ555//nlDqWBUQY51rV9JSr6f4/4AAHAzowVw8uTJmjBhglq0aKHIyMgSxwX+2jGC8GKfPS7l7pNqx0s9HjedBgAAr2O0AL7wwguaNWuWhg4dajIGqpIdS6W1b1jLt7wsBdQ0mwcAAC9k9BhAPz8/denSxW3vN23aNMXFxSkoKEjJyclKS0u7qNfNmzdPNptN/fv3d1sWlEPhMenD01P/dLxXiutqNg8AAF7KaAF86KGHNG3aNLe81/z58zV27FilpKRo7dq1at26tXr37q2srKwLvm737t16+OGH1a1bN7fkwGX44m+nJ3xuKPV8wnQaAAC8lpF5AM9wOp3q27evtm3bpoSEBPn7+5d4/r333rvo90pOTlbHjh318ssvF793bGysHnjgAY0bN67M1zgcDl199dUaPny4vvrqKx09elQffPDBRX8m8wi50f510sxrrcu9DXpPatrDdCIAgJfi99vwCODo0aO1dOlSNW/eXHXq1FFoaGiJ28UqKirSmjVr1LNnz+J1fn5+6tmzp1auXHne1z355JOKiIjQH/7wh4v6nMLCQuXm5pa4wQ2cDunjsVb5u/K3lD8AACqY0ZNA3njjDb377rvq27fvZb3PoUOH5HA4Sl1WLjIyUlu2bCnzNStWrNDrr7+udevWXfTnTJkyRZMmTbqcqCjLmjnSvjVSQLDUe7LpNAAAeD2jI4Dh4eFq0qRJpX/usWPHdPfdd2vmzJmqW7fuRb9u/PjxysnJKb7t3bu3AlP6iONZUurpUn3dBCkk2mweAAB8gNERwCeeeEIpKSmaPXu2atSoUe73qVu3rux2uw4cOFBi/YEDBxQVFVVq+x07dmj37t3q169f8bozk1BXq1ZNW7duLbOYBgYGKjAwsNw5UYbPHrcmfo5uLXW8x3QaAAB8gtEC+OKLL2rHjh2KjIxUXFxcqZNA1q5de1HvExAQoPbt2ys1NbV4Khen06nU1FSNGjWq1PYtW7bUhg0bSqybMGGCjh07phdeeEGxsbHl+0K4NLu+kn6YJ8km3fQvyW78wjQAAPgEo7+47px3b+zYsRoyZIg6dOigpKQkTZ06VXl5eRo2bJgkafDgwapfv76mTJmioKAgJSYmlnh9WFiYJJVajwpyqkj6+M/WcofhUv32ZvMAAOBDjBbAlJQUt73XgAEDdPDgQU2cOFGZmZlq06aNFi9eXHxiSHp6uvz8jB7yiHOtfEk6tFWqWU/qMdF0GgAAfEqlzwPocrm85jq/zCNUTkf3Si93lE6dkG6dIbUeYDoRAMCH8Ptt4CzgK6+8UvPmzVNRUdEFt/vpp580YsQIPf3005WUDJXm8yes8teoi9Tq96bTAADgcyp9F/BLL72kRx99VH/605/Uq1cvdejQQTExMQoKCtKRI0e0efNmrVixQps2bdKoUaM0YsSIyo6IirQ3Tdq4QJJN6jNF8pLRYAAAPEmlF8AePXpo9erVWrFihebPn6+3335be/bs0YkTJ1S3bl21bdtWgwcP1sCBA1W7du3KjoeK5HRKi8dby20HWlO/AACASmfsJJCuXbuqa9eupj4eJmx8V9q3WgqoJV33uOk0AAD4LE6LReUoypc+P33Wd9eHpODSE3QDAIDKQQFE5Vj5spS7TwptKHUaaToNAAA+jQKIipe7X1rxL2u51xOSf3WjcQAA8HVcewsVL/Up6WS+FJssXflbOZwupe3KVtaxAkUEBykpPlx2P84GBgCgslAAUbH2rZXWz7WW+0zR4k2ZmrRwszJyCoo3iQ4NUkq/BPVJjDYUEgAA32J8F/COHTs0YcIE3XnnncrKypIkffLJJ9q0aZPhZLhsLpf02QRrudUALT4SoxFvrS1R/iQpM6dAI95aq8UbMwyEBADA9xgtgMuXL9dVV12l7777Tu+9956OHz8uSVq/fr1brxMMQ3akSnu+luyBclz7uCYt3Kyyrjt4Zt2khZvlcFbqlQkBAPBJRgvguHHj9Le//U1LlixRQEBA8frrrrtO3377rcFkuGxOp5T6pLWcdK/SsmuUGvk7l0tSRk6B0nZlV04+AAB8mNECuGHDBt16662l1kdEROjQoUMGEsFtfvxQylhvTfrc9SFlHTt/+TvXxW4HAADKz2gBDAsLU0ZG6eO+vv/+e9WvX99AIriF45S09O/WcqdRUs26iggOuqiXXux2AACg/IwWwDvuuEOPPvqoMjMzZbPZ5HQ69fXXX+vhhx/W4MGDTUbD5fhhnnRom1S9dvGkz0nx4YoODdL5JnuxyTobOCk+vNJiAgDgq4wWwMmTJ6tly5aKjY3V8ePHlZCQoKuvvlqdO3fWhAkTTEZDeZ0qlJY9bS13HSsFhUiS7H42pfRLkKRSJfDM45R+CcwHCABAJbC5XC7jp13u3btXGzZs0PHjx9W2bVs1a9bMdKSLkpubq9DQUOXk5CgkJMR0nKrhu9ekT/4iBUdLo78vddWPxRszmAcQAGAUv9+GJ4J+8skn9fDDDys2NlaxsbHF60+cOKFnn31WEydONJgOl6woT/ryWWv5mr+Uecm3PonR6pUQxZVAAAAwyOgIoN1uV0ZGhiIiIkqsP3z4sCIiIuRwOAwluzj8DeIXvvyn9MVTUu14adQqye5vOhEAAKXw+234GECXyyWbrfTIz/r16xUezskAHuXEEenrF63la/9K+QMAoAozsgu4du3astlsstlsat68eYkS6HA4dPz4cd1///0moqG8Vr4iFeZIEVdKibeZTgMAAC7ASAGcOnWqXC6Xhg8frkmTJik0NLT4uYCAAMXFxalTp04moqE8CnKktNes5e6PSn7GLzENAAAuwEgBHDJkiCQpPj5enTt3lr8/uws92qp/WyWwbgupZT/TaQAAwK8wehbwNddcU7xcUFCgoqKiEs/76oGZHqUoT1o5zVru9mdG/wAA8ABGf63z8/M1atQoRUREqGbNmqpdu3aJGzzAmjlS/mGpdhzH/gEA4CGMFsBHHnlEX3zxhaZPn67AwED9+9//1qRJkxQTE6P//Oc/JqPhYpwskL55yVruOlayGx1QBgAAF8noL/bChQv1n//8R927d9ewYcPUrVs3NW3aVI0aNdLbb7+tgQMHmoyHX7PubelYhhRSX2p9p+k0AADgIhkdAczOzlbjxo0lWcf7ZWdnS5K6du2qL7/80mQ0/BrHSWnFVGu5yxipWoDROAAA4OIZLYCNGzfWrl27JEktW7bUO++8I8kaGQwLCzOYDL9qw/9JOelSzXpSu8Gm0wAAgEtgtAAOGzZM69evlySNGzdO06ZNU1BQkB566CE98sgjJqPhQpwO6avnrOVOo8q85i8AAKi6jF4L+Jf27NmjNWvWqGnTpmrVqpXpOL/KZ68luPFdacFwKShMemijFBhsOhEAABfNZ3+/z2FsBPDkyZPq0aOHfvrpp+J1jRo10m9/+1uPKH8+y+WSvnreWv7Nnyh/AAB4IGMF0N/fXz/88IOpj0d57UiVDmyUAmpJyfeZTgMAAMrB6DGAgwYN0uuvv24yAi7Vyles+7Z3S9WZrBsAAE9kdB7AU6dOadasWfr888/Vvn171axZs8Tzzz//vKFkKFPWj9YIoGxS8h9NpwEAAOVktABu3LhR7dq1kyRt27atxHM2m81EJFzIt6dH/664SQqPN5sFAACUm9ECuHTpUpMfj0uRd0haP99a/s1Is1kAAMBlMXoMIDzI6lmSo1CKaSc1/I3pNAAA4DJQAPHrThVKaTOt5U4jJXbPAwDg0SiA+HUbFkh5WVJIfSnhFtNpAADAZaIA4sJcLmnlNGs56T7J7m82DwAAuGwUQFzYruVS1ibJv4bUfojpNAAAwA0ogLiw4omfBzHxMwAAXoICiPM7uE366VNZEz/fbzoNAABwEwogzu+7V637FjdIdZqYzQIAANyGAoiyFR6Tfjg98TOjfwAAeBUKIMq2YYFUdFyq01SKv9p0GgAA4EYUQJTmcllX/pCk9sOY+BkAAC9DAURp+9ZKmT9I9kCpzV2m0wAAADejAKK0NadH/668VaoRbjYLAABwOwogSjpxVNrwrrXcYZjRKAAAoGJQAFHSD/OlUyekiAQpNtl0GgAAUAGqmQ4A8xxOl9J2ZSsr94R6ffNv1ZA4+QMAAC9GAfRxizdmaNLCzcrIKVAH2xbdErhNJxSorwO6q6fpcAAAoEKwC9iHLd6YoRFvrVVGToEkaWC1VEnSh6c66d75P2nxxgyT8QAAQAWhAPooh9OlSQs3y3X6cW3l6ka/NEnS244ekqRJCzfL4XSd5x0AAICnogD6qLRd2cUjf5J0m/0rBdpOaoMzTj+4GsslKSOnQGm7ss2FBAAAFYIC6KOyjhWc88ilu+zW7t+5jh6SbOfZDgAAeAMKoI+KCA4qXu7kt1mN/TJ1zFVdHzo6n3c7AADgHSiAPiopPlzRoUGyydr9K0kLHb9RnqpLssYAo0ODlBTPlUAAAPA2FEAfZfezKaVfgqqrQDf4fSdJetdxtaSzO4BT+iXI7sdcgAAAeBvmAfRhfRKjFd3tkGquKtRuZ6TWuJpLkqJCg5TSL0F9EqMNJwQAABWBAujjWh9eJEmyt71TL8S3VUSwtduXkT8AALwXBdCX5eyTdi6XJMVeM1Sx4fUNBwIAAJWBYwB92YZ3JLmkhp2l8HjTaQAAQCWhAPoql0taP89abnOn2SwAAKBSUQB9VcY66eAWqVqQlHCL6TQAAKASUQB91br/Wvct+0pBoWazAACASkUB9EWniqSNC6zl1uz+BQDA13hVAZw2bZri4uIUFBSk5ORkpaWlnXfbmTNnqlu3bqpdu7Zq166tnj17XnB7r7L9cyn/sFQrUmp8rek0AACgknlNAZw/f77Gjh2rlJQUrV27Vq1bt1bv3r2VlZVV5vbLli3TnXfeqaVLl2rlypWKjY3V9ddfr3379lVycgPWn979e9XvJDszAQEA4GtsLpfLZTqEOyQnJ6tjx456+eWXJUlOp1OxsbF64IEHNG7cuF99vcPhUO3atfXyyy9r8ODBF/WZubm5Cg0NVU5OjkJCQi4rf6XJz5aeayE5iqT7v5aiEk0nAgCgUnnk77ebecUIYFFRkdasWaOePXsWr/Pz81PPnj21cuXKi3qP/Px8nTx5UuHh4RUVs2rY9J5V/iKvovwBAOCjvGL/36FDh+RwOBQZGVlifWRkpLZs2XJR7/Hoo48qJiamRIn8pcLCQhUWFhY/zs3NLV9gk87M/df6DrM5AACAMV4xAni5nn76ac2bN0/vv/++goKCzrvdlClTFBoaWnyLjY2txJRucGSP9PMqyeZnHf8HAAB8klcUwLp168put+vAgQMl1h84cEBRUVEXfO0///lPPf300/rss8/UqlWrC247fvx45eTkFN/27t172dkr1eb/WfeNukjBkRfeFgAAeC2vKIABAQFq3769UlNTi9c5nU6lpqaqU6dO533dP/7xDz311FNavHixOnTo8KufExgYqJCQkBI3j7Lpfev+yv5GYwAAALO84hhASRo7dqyGDBmiDh06KCkpSVOnTlVeXp6GDRsmSRo8eLDq16+vKVOmSJKeeeYZTZw4UXPnzlVcXJwyMzMlSbVq1VKtWrWMfY8Kc2SPtH+ttfv3iptNpwEAAAZ5TQEcMGCADh48qIkTJyozM1Nt2rTR4sWLi08MSU9Pl5/f2QHP6dOnq6ioSLfffnuJ90lJSdETTzxRmdErx7m7f2tFmM0CAACM8pp5AE3wqHmEZlxrjQD2fU7qeI/pNAAAGONRv98VxCuOAcSvYPcvAAA4BwXQF7D7FwAAnIMC6As4+xcAAJyDAujt2P0LAAB+gQLo7dj9CwAAfoEC6O3Y/QsAAH6BAujN2P0LAADKQAH0Zuz+BQAAZaAAejN2/wIAgDJQAL0Vu38BAMB5UAC9Fbt/AQDAeVAAvdWWj617Rv8AAMAvUAC9Ud5h6ec0a7lFH7NZAABAlUMB9Ebbl0gupxSZKIU1NJ0GAABUMRRAb7T1E+u+OaN/AACgNAqgtzlVJG1PtZZb3GA2CwAAqJIogN5mz9dS0TGpZoQU0850GgAAUAVRAL3NtsXWffPrJT/+8QIAgNJoCN7E5eL4PwAA8KsogN7k4Fbp6B7JHiA1vtZ0GgAAUEVRAL3JttOjf/FXS4G1zGYBAABVFgXQm2w9c/wfu38BAMD5UQC9xblX/6AAAgCAC6AAeoufPjt99Y+rpLBY02kAAEAVRgH0Fmemf+HavwAA4FdQAL3BuVf/YPcvAAD4FRRAb8DVPwAAwCWgAHoDrv4BAAAuAW3B05W4+scNZrMAAACPQAH0dMVX/wiUmnD1DwAA8OsogJ5uxxfWfVwXKaCm2SwAAMAjUAA93c6l1j3X/gUAABeJAujJThVJu7+2lht3NxoFAAB4DgqgJ/t5lXQyT6pRV4pMNJ0GAAB4CAqgJyve/dud6V8AAMBFozV4sh2nCyBn/wIAgEtAAfRUJ45I+9day5wAAgAALgEF0FPt+kpyOaW6zaXQ+qbTAAAAD0IB9FQ7l1n3nP0LAAAuEQXQUzH/HwAAKCcKoCc6skfK3inZ7FJcV9NpAACAh6EAeqIzo38NOkpBIWazAAAAj0MB9ERM/wIAAC4DBdDTOJ3SruXWMieAAACAcqAAeprM9dYcgAHBUv32ptMAAAAPRAH0NGd2/8Z3k+z+ZrMAAACPRAH0NEz/AgAALhMF0JMU5Uvp31rLnAACAADKiQLoSdJXSo4iKaS+VKep6TQAAMBDUQA9ybm7f202s1kAAIDHogB6kjPX/2X3LwAAuAwUQE9x4qiUudFajutmNAoAAPBsFEBPsfc7SS4pvIkUHGk6DQAA8GAUQE+x5xvrvlEnszkAAIDHowB6ivSV1n3DzmZzAAAAj0cB9AQnT0j71lrLjAACAIDLRAH0BD+vlpwnpeBoqXa86TQAAMDDUQA9QfHu307M/wcAAC4bBdATFJ8AwvF/AADg8lEAqzrHKWlvmrXckOP/AADA5aMAVnWZ66WTeVJQqBSRYDoNAADwAhTAqm7POcf/+fGPCwAAXD4aRVV37gkgAAAAbkABrMpcLk4AAQAAbkcBrMoObpVOZEvVqkvRbUynAQAAXoICWJWlnx79a9BBqhZgNgsAAPAaFMCq7MwJIOz+BQAAbkQBrIIcTpdW7jis/O1fWY9jOQEEAAC4DwWwilm8MUNdn/lCD89cqBonMnTK5ade7+Rp8cYM09EAAICXoABWIYs3ZmjEW2uVkVOgjn5bJUkbXXHalWvTiLfWUgIBAIBbeFUBnDZtmuLi4hQUFKTk5GSlpaVdcPv/+7//U8uWLRUUFKSrrrpKixYtqqSkpTmcLk1auFmu04+T/LZIktKcVxSvm7RwsxxOV5mvBwAAuFheUwDnz5+vsWPHKiUlRWvXrlXr1q3Vu3dvZWVllbn9N998ozvvvFN/+MMf9P3336t///7q37+/Nm7cWMnJLWm7spWRU1D8+MwI4CpnC0mSS1JGToHSdmWbiAcAALyI1xTA559/Xvfee6+GDRumhIQEvfrqq6pRo4ZmzZpV5vYvvPCC+vTpo0ceeURXXHGFnnrqKbVr104vv/xyJSe3ZB07W/7ClatmfvsknS2AZW0HAABQHl5RAIuKirRmzRr17NmzeJ2fn5969uyplStXlvmalStXltheknr37n3e7SWpsLBQubm5JW7uEhEcVLx8ZvRvm7O+jir4vNsBAACUh1cUwEOHDsnhcCgyMrLE+sjISGVmZpb5mszMzEvaXpKmTJmi0NDQ4ltsbOzlhz8tKT5c0aFBsknqePr4v1XOlsXP2yRFhwYpKT7cbZ8JAAB8k1cUwMoyfvx45eTkFN/27t3rtve2+9mU0i9BkvSu4xpNOXmnFjqt+f9sp7dJ6Zcgu5/tPO8AAABwcaqZDuAOdevWld1u14EDB0qsP3DggKKiosp8TVRU1CVtL0mBgYEKDAy8/MDn0ScxWtMHtdOkhUF6Lafh2ayhQUrpl6A+idEV9tkAAMB3eEUBDAgIUPv27ZWamqr+/ftLkpxOp1JTUzVq1KgyX9OpUyelpqbqwQcfLF63ZMkSdepk9qobfRKj1SshSmm7spV1rEARwdZuX0b+AACAu3hFAZSksWPHasiQIerQoYOSkpI0depU5eXladiwYZKkwYMHq379+poyZYokacyYMbrmmmv03HPPqW/fvpo3b55Wr16tGTNmmPwakqzdwZ2a1DEdAwAAeCmvKYADBgzQwYMHNXHiRGVmZqpNmzZavHhx8Yke6enp8vM7e8hj586dNXfuXE2YMEGPPfaYmjVrpg8++ECJiYmmvgIAAEClsLlcLi4tUU65ubkKDQ1VTk6OQkJCTMcBAAAXgd9vzgIGAADwORRAAAAAH0MBBAAA8DEUQAAAAB9DAQQAAPAxFEAAAAAfQwEEAADwMRRAAAAAH0MBBAAA8DFecyk4E85cRCU3N9dwEgAAcLHO/G778sXQKICX4dixY5Kk2NhYw0kAAMClOnbsmEJDQ03HMIJrAV8Gp9Op/fv3Kzg4WDabza3vnZubq9jYWO3du9crr1PI9/N83v4d+X6ez9u/I9+v/Fwul44dO6aYmBj5+fnm0XCMAF4GPz8/NWjQoEI/IyQkxCv/wz6D7+f5vP078v08n7d/R75f+fjqyN8Zvll7AQAAfBgFEAAAwMdQAKuowMBApaSkKDAw0HSUCsH383ze/h35fp7P278j3w+Xg5NAAAAAfAwjgAAAAD6GAggAAOBjKIAAAAA+hgIIAADgYyiAVdC0adMUFxenoKAgJScnKy0tzXQkt/nyyy/Vr18/xcTEyGaz6YMPPjAdya2mTJmijh07Kjg4WBEREerfv7+2bt1qOpbbTJ8+Xa1atSqemLVTp0765JNPTMeqME8//bRsNpsefPBB01Hc5oknnpDNZitxa9mypelYbrVv3z4NGjRIderUUfXq1XXVVVdp9erVpmO5TVxcXKl/hjabTSNHjjQdzS0cDocef/xxxcfHq3r16mrSpImeeuopn75ub0WgAFYx8+fP19ixY5WSkqK1a9eqdevW6t27t7KyskxHc4u8vDy1bt1a06ZNMx2lQixfvlwjR47Ut99+qyVLlujkyZO6/vrrlZeXZzqaWzRo0EBPP/201qxZo9WrV+u6667TLbfcok2bNpmO5narVq3Sa6+9platWpmO4nZXXnmlMjIyim8rVqwwHcltjhw5oi5dusjf31+ffPKJNm/erOeee061a9c2Hc1tVq1aVeKf35IlSyRJv/vd7wwnc49nnnlG06dP18svv6wff/xRzzzzjP7xj3/opZdeMh3Nu7hQpSQlJblGjhxZ/NjhcLhiYmJcU6ZMMZiqYkhyvf/++6ZjVKisrCyXJNfy5ctNR6kwtWvXdv373/82HcOtjh075mrWrJlryZIlrmuuucY1ZswY05HcJiUlxdW6dWvTMSrMo48+6uratavpGJVqzJgxriZNmricTqfpKG7Rt29f1/Dhw0us++1vf+saOHCgoUTeiRHAKqSoqEhr1qxRz549i9f5+fmpZ8+eWrlypcFkKK+cnBxJUnh4uOEk7udwODRv3jzl5eWpU6dOpuO41ciRI9W3b98S/y16k59++kkxMTFq3LixBg4cqPT0dNOR3ObDDz9Uhw4d9Lvf/U4RERFq27atZs6caTpWhSkqKtJbb72l4cOHy2azmY7jFp07d1Zqaqq2bdsmSVq/fr1WrFihG264wXAy71LNdACcdejQITkcDkVGRpZYHxkZqS1bthhKhfJyOp168MEH1aVLFyUmJpqO4zYbNmxQp06dVFBQoFq1aun9999XQkKC6VhuM2/ePK1du1arVq0yHaVCJCcna86cOWrRooUyMjI0adIkdevWTRs3blRwcLDpeJdt586dmj59usaOHavHHntMq1at0ujRoxUQEKAhQ4aYjud2H3zwgY4ePaqhQ4eajuI248aNU25urlq2bCm73S6Hw6G///3vGjhwoOloXoUCCFSQkSNHauPGjV51fJUktWjRQuvWrVNOTo4WLFigIUOGaPny5V5RAvfu3asxY8ZoyZIlCgoKMh2nQpw7itKqVSslJyerUaNGeuedd/SHP/zBYDL3cDqd6tChgyZPnixJatu2rTZu3KhXX33VKwvg66+/rhtuuEExMTGmo7jNO++8o7fffltz587VlVdeqXXr1unBBx9UTEyMV/4zNIUCWIXUrVtXdrtdBw4cKLH+wIEDioqKMpQK5TFq1Ch99NFH+vLLL9WgQQPTcdwqICBATZs2lSS1b99eq1at0gsvvKDXXnvNcLLLt2bNGmVlZaldu3bF6xwOh7788ku9/PLLKiwslN1uN5jQ/cLCwtS8eXNt377ddBS3iI6OLvWXkSuuuELvvvuuoUQVZ8+ePfr888/13nvvmY7iVo888ojGjRunO+64Q5J01VVXac+ePZoyZQoF0I04BrAKCQgIUPv27ZWamlq8zul0KjU11euOsfJWLpdLo0aN0vvvv68vvvhC8fHxpiNVOKfTqcLCQtMx3KJHjx7asGGD1q1bV3zr0KGDBg4cqHXr1nld+ZOk48ePa8eOHYqOjjYdxS26dOlSauqlbdu2qVGjRoYSVZzZs2crIiJCffv2NR3FrfLz8+XnV7Ke2O12OZ1OQ4m8EyOAVczYsWM1ZMgQdejQQUlJSZo6dary8vI0bNgw09Hc4vjx4yVGGnbt2qV169YpPDxcDRs2NJjMPUaOHKm5c+fqf//7n4KDg5WZmSlJCg0NVfXq1Q2nu3zjx4/XDTfcoIYNG+rYsWOaO3euli1bpk8//dR0NLcIDg4udbxmzZo1VadOHa85jvPhhx9Wv3791KhRI+3fv18pKSmy2+268847TUdzi4ceekidO3fW5MmT9fvf/15paWmaMWOGZsyYYTqaWzmdTs2ePVtDhgxRtWre9VPer18//f3vf1fDhg115ZVX6vvvv9fzzz+v4cOHm47mXUyfhozSXnrpJVfDhg1dAQEBrqSkJNe3335rOpLbLF261CWp1G3IkCGmo7lFWd9Nkmv27Nmmo7nF8OHDXY0aNXIFBAS46tWr5+rRo4frs88+Mx2rQnnbNDADBgxwRUdHuwICAlz169d3DRgwwLV9+3bTsdxq4cKFrsTERFdgYKCrZcuWrhkzZpiO5HaffvqpS5Jr69atpqO4XW5urmvMmDGuhg0buoKCglyNGzd2/fWvf3UVFhaajuZVbC4XU2sDAAD4Eo4BBAAA8DEUQAAAAB9DAQQAAPAxFEAAAAAfQwEEAADwMRRAAAAAH0MBBAAA8DEUQAAAAB9DAQRQ5XXv3l02m002m03r1q27pNcOHTq0+LUffPDBBbfdunWroqKidOzYsfKHLYff/OY3evfddyv1MwH4NgogAI9w7733KiMjo8xr8vbu3Vt2u12rVq0q9dwLL7ygjIyMi/qM8ePH64EHHlBwcPBlZT1TWJ9++ulSz/Xt21c2m01PPPFE8boJEyZo3LhxXOweQKWhAALwCDVq1FBUVFSpC9+np6frm2++0ahRozRr1qxSrwsNDVVUVNSvvn96ero++ugjDR061C15Y2NjNWfOnBLr9u3bp9TUVEVHR5dYf8MNN+jYsWP65JNP3PLZAPBrKIAAPNrs2bN10003acSIEfrvf/+rEydOlOt93nnnHbVu3Vr169cvXjdnzhyFhYXpo48+UosWLVSjRg3dfvvtys/P1xtvvKG4uDjVrl1bo0ePlsPhKPF+N910kw4dOqSvv/66eN0bb7yh66+/XhERESW2tdvtuvHGGzVv3rxyZQeAS0UBBOCxXC6XZs+erUGDBqlly5Zq2rSpFixYUK73+uqrr9ShQ4dS6/Pz8/Xiiy9q3rx5Wrx4sZYtW6Zbb71VixYt0qJFi/Tmm2/qtddeK/W5AQEBGjhwoGbPnl28bs6cORo+fHiZn5+UlKSvvvqqXNkB4FJRAAF4rM8//1z5+fnq3bu3JGnQoEF6/fXXy/Vee/bsUUxMTKn1J0+e1PTp09W2bVtdffXVuv3227VixQq9/vrrSkhI0E033aRrr71WS5cuLfXa4cOH65133lFeXp6+/PJL5eTk6Kabbirz82NiYrR3716OAwRQKSiAADzWrFmzNGDAgOLjAu+88059/fXX2rFjxyW/14kTJxQUFFRqfY0aNdSkSZPix5GRkYqLi1OtWrVKrMvKyir12tatW6tZs2ZasGCBZs2apbvvvrvUMYxnVK9eXU6nU4WFhZecHQAuFQUQgEfKzs7W+++/r1deeUXVqlVTtWrVVL9+fZ06darMk0F+Td26dXXkyJFS6/39/Us8ttlsZa4738jd8OHDNW3aNC1YsOC8u3/PfJ+aNWuqevXql5wdAC4VBRCAR3r77bfVoEEDrV+/XuvWrSu+Pffcc5ozZ06pkzJ+Tdu2bbV582a357zrrru0YcMGJSYmKiEh4bzbbdy4UW3btnX75wNAWcreFwEAVdzrr7+u22+/vdS8gLGxsRo/frwWL16svn37XvT79e7dW/fcc48cDofsdrvbctauXVsZGRmlRg1/6auvvtL111/vts8FgAthBBCAx1mzZo3Wr1+v2267rdRzoaGh6tGjxyWfDHLDDTeoWrVq+vzzz90Vs1hYWJhq1qx53uf37dunb775RsOGDXP7ZwNAWWwul8tlOgQAXEj37t3Vpk0bTZ06tdzvYbPZ9P7776t///7n3WbatGn68MMP9emnn5b7c8rj0Ucf1ZEjRzRjxoxK/VwAvosRQAAe4ZVXXlGtWrW0YcOGS3rd/fffX+KM3Qv54x//qKuvvrrSrwUcERGhp556qlI/E4BvYwQQQJW3b9++4it8NGzYUAEBARf92qysLOXm5kqSoqOjL7grFgB8BQUQAADAx7ALGAAAwMdQAAEAAHwMBRAAAMDHUAABAAB8DAUQAADAx1AAAQAAfAwFEAAAwMdQAAEAAHzM/wMr01xicVLjygAAAABJRU5ErkJggg==' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "avals = np.linspace(0, 8, 81)\n",
    "fig, ax = plt.subplots()\n",
    "varyA = pd.concat((combined[combined.B==0], combined[combined.B==24]))\n",
    "ax.plot(varyA.A, varyA.rate, 'o', label='data')\n",
    "ax.plot(avals, myfit.eval(a=avals, b=24), '-', label='fit')\n",
    "ax.set_xlabel('[A] (mM)')\n",
    "ax.set_ylabel('rate (mM/min)')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f99962e0830>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b5dea4fedffe462ba324a62bdfca91b8",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bvals = np.linspace(0, 24, 81)\n",
    "fig, ax = plt.subplots()\n",
    "varyB = pd.concat((combined[combined.A==0], combined[combined.A==8]))\n",
    "ax.plot(varyB.B, varyB.rate, 'o', label='data')\n",
    "ax.plot(bvals, myfit.eval(a=8, b=bvals), '-', label='fit')\n",
    "ax.set_xlabel('[B] (mM)')\n",
    "ax.set_ylabel('rate (mM/min)')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Backup data for Q5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f9996135d30>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avals = np.linspace(0, 8, 81)\n",
    "fig, ax = plt.subplots()\n",
    "varyA = pd.concat((combined2[combined2.B==0], combined2[combined2.B==24]))\n",
    "ax.plot(varyA.A, varyA.rate, 'o', label='data')\n",
    "ax.plot(avals, myfit2.eval(a=avals, b=24), '-', label='fit')\n",
    "ax.set_xlabel('[A] (mM)')\n",
    "ax.set_ylabel('rate (mM/min)')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f9995e98050>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f5085818d6044464a1bd6ef0aee10fdc",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' 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       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bvals = np.linspace(0, 24, 81)\n",
    "fig, ax = plt.subplots()\n",
    "varyB = pd.concat((combined2[combined2.A==0], combined2[combined2.A==8]))\n",
    "ax.plot(varyB.B, varyB.rate, 'o', label='data')\n",
    "ax.plot(bvals, myfit2.eval(a=8, b=bvals), '-', label='fit')\n",
    "ax.set_xlabel('[B] (mM)')\n",
    "ax.set_ylabel('rate (mM/min)')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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  "toc": {
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",
       "_figure_label": "Figure 2",
       "_size": [
        640,
        480
       ],
       "_view_name": "ErrorWidgetView",
       "error": {},
       "layout": "IPY_MODEL_fe0e819d63e94f6b93bdee13fde48a73",
       "msg": "Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib'",
       "toolbar": "IPY_MODEL_21a7fe107c8e43f3b10cb23b60e47a29",
       "toolbar_position": "left"
      }
     },
     "4f70af4ed9c34e62b0891ba7f4025df1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "61c1e349c0204056ab165461de0d9ddc": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "2.0.0",
      "model_name": "ToolbarModel",
      "state": {
       "_view_name": "ErrorWidgetView",
       "collapsed": true,
       "error": {},
       "layout": "IPY_MODEL_8d289417e1024a9989ce11b1c7f9763a",
       "msg": "Failed to load model class 'ToolbarModel' from module 'jupyter-matplotlib'",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "61cbc567fbfd47c18f8e55b6a681941a": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "ToolbarModel",
      "state": {
       "_model_module_version": "^0.12",
       "_view_module_version": "^0.12",
       "collapsed": true,
       "layout": "IPY_MODEL_3139e3183f4b4263bdb7ccb96103feee",
       "orientation": "vertical",
       "toolitems": [
        [
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         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "61fda2c7136743059124ef7a32ba7d1c": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "2.0.0",
      "model_name": "MPLCanvasModel",
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",
       "_figure_label": "Figure 6",
       "_size": [
        640,
        480
       ],
       "_view_name": "ErrorWidgetView",
       "error": {},
       "layout": "IPY_MODEL_bf92005a9df74c7f8e9a59cbfcf2884e",
       "msg": "Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib'",
       "toolbar": "IPY_MODEL_96dafbb90e394c5ca77c723079bfec70",
       "toolbar_position": "left"
      }
     },
     "6a1fc84a19624bef997311b456bdb1eb": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "2.0.0",
      "model_name": "MPLCanvasModel",
      "state": {
       "_data_url": 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",
       "_figure_label": "Figure 1",
       "_size": [
        640,
        480
       ],
       "_view_name": "ErrorWidgetView",
       "error": {},
       "layout": "IPY_MODEL_d621c92a0ef847049b9c612a9f23219e",
       "msg": "Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib'",
       "toolbar": "IPY_MODEL_61c1e349c0204056ab165461de0d9ddc",
       "toolbar_position": "left"
      }
     },
     "7520722ac4d14e5cbc23768b7afed320": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "MPLCanvasModel",
      "state": {
       "_data_url": 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",
       "_figure_label": "Figure 6",
       "_model_module_version": "^0.12",
       "_size": [
        640,
        479.99999999999994
       ],
       "_view_module_version": "^0.12",
       "layout": "IPY_MODEL_94efd26daa744bbdb4847c8333c2d4e4",
       "toolbar": "IPY_MODEL_c84f8d495a164957b8fa0e68e563a29b",
       "toolbar_position": "left"
      }
     },
     "7941fa5b04e44cbab3df7e862c329f9a": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "2.0.0",
      "model_name": "ToolbarModel",
      "state": {
       "_view_name": "ErrorWidgetView",
       "collapsed": true,
       "error": {},
       "layout": "IPY_MODEL_57159ff5aa2c4eb0ae364df078167df6",
       "msg": "Failed to load model class 'ToolbarModel' from module 'jupyter-matplotlib'",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "7bd4b9a34e104082884e8fd2aaf99ebe": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "MPLCanvasModel",
      "state": {
       "_data_url": 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",
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       "collapsed": true,
       "error": {},
       "layout": "IPY_MODEL_2faa0e55fbb84c51b866edb265319ae1",
       "msg": "Failed to load model class 'ToolbarModel' from module 'jupyter-matplotlib'",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
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         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
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",
       "_figure_label": "Figure 4",
       "_size": [
        640,
        480
       ],
       "_view_name": "ErrorWidgetView",
       "error": {},
       "layout": "IPY_MODEL_fcfe8762546644c5b9d4339c5c5c3023",
       "msg": "Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib'",
       "toolbar": "IPY_MODEL_b876d9f8e8424ee0a8bf240bd55ac87b",
       "toolbar_position": "left"
      }
     },
     "a70434ac3567442eb7a8dd6d67f28986": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "b0f69e8a8d5245a4b4cf09e2d8acaa10": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "2.0.0",
      "model_name": "MPLCanvasModel",
      "state": {
       "_data_url": 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",
       "_figure_label": "Figure 5",
       "_size": [
        640,
        480
       ],
       "_view_name": "ErrorWidgetView",
       "error": {},
       "layout": "IPY_MODEL_ed64d959f0394e47b14bebb99623cef3",
       "msg": "Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib'",
       "toolbar": "IPY_MODEL_7941fa5b04e44cbab3df7e862c329f9a",
       "toolbar_position": "left"
      }
     },
     "b876d9f8e8424ee0a8bf240bd55ac87b": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "2.0.0",
      "model_name": "ToolbarModel",
      "state": {
       "_view_name": "ErrorWidgetView",
       "collapsed": true,
       "error": {},
       "layout": "IPY_MODEL_01183826d1194aa4bd9cc477346d73c5",
       "msg": "Failed to load model class 'ToolbarModel' from module 'jupyter-matplotlib'",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "c4ecad0440904d30b65cacc665b63f97": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "ToolbarModel",
      "state": {
       "_model_module_version": "^0.12",
       "_view_module_version": "^0.12",
       "collapsed": true,
       "layout": "IPY_MODEL_2198549758e0449682248d555a79dcee",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "c81b9beb6d464eebb49246bb94419668": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "MPLCanvasModel",
      "state": {
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",
       "_figure_label": "Figure 7",
       "_model_module_version": "^0.12",
       "_size": [
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       "_view_module_version": "^0.12",
       "layout": "IPY_MODEL_8ac0866ad7a740218acb8aacb59cd535",
       "toolbar": "IPY_MODEL_1c429d8aacec41538d81139298a528ad",
       "toolbar_position": "left"
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      "model_name": "ToolbarModel",
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       "collapsed": true,
       "layout": "IPY_MODEL_4f70af4ed9c34e62b0891ba7f4025df1",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "c9f990d6a8cb4b0e99d225cf427f15db": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
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      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "MPLCanvasModel",
      "state": {
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",
       "_figure_label": "Figure 5",
       "_message": "(x, y) = (6.14, 1.297)",
       "_model_module_version": "^0.12",
       "_size": [
        640,
        479.99999999999994
       ],
       "_view_module_version": "^0.12",
       "layout": "IPY_MODEL_395f3a4449934c01927c05ed5b3f747c",
       "toolbar": "IPY_MODEL_ff05ba4a6c4744a6846adabe856d8dad",
       "toolbar_position": "left"
      }
     },
     "d129db48e8874b58a3bb2b80833e90bd": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "MPLCanvasModel",
      "state": {
       "_data_url": 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",
       "_figure_label": "Figure 3",
       "_model_module_version": "^0.12",
       "_size": [
        640,
        479.99999999999994
       ],
       "_view_module_version": "^0.12",
       "layout": "IPY_MODEL_882e00d58b2d46b18448724bfa6d4ca4",
       "toolbar": "IPY_MODEL_61cbc567fbfd47c18f8e55b6a681941a",
       "toolbar_position": "left"
      }
     },
     "d35b8edc22354b7faaf243a75eb7c3e3": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "ToolbarModel",
      "state": {
       "_model_module_version": "^0.12",
       "_view_module_version": "^0.12",
       "collapsed": true,
       "layout": "IPY_MODEL_eb1d7b13265644c2a81b607f4445077f",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "dcde4daf39014cfa9144ad8cd26e23ea": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "MPLCanvasModel",
      "state": {
       "_data_url": 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",
       "_figure_label": "Figure 1",
       "_model_module_version": "^0.12",
       "_size": [
        640,
        479.99999999999994
       ],
       "_view_module_version": "^0.12",
       "layout": "IPY_MODEL_c9f990d6a8cb4b0e99d225cf427f15db",
       "toolbar": "IPY_MODEL_c4ecad0440904d30b65cacc665b63f97",
       "toolbar_position": "left"
      }
     },
     "eace6881b1a54b3988d48897c14786e7": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "2.0.0",
      "model_name": "ToolbarModel",
      "state": {
       "_view_name": "ErrorWidgetView",
       "collapsed": true,
       "error": {},
       "layout": "IPY_MODEL_48bf1b930ef14e8db538be8e4fb93fd1",
       "msg": "Failed to load model class 'ToolbarModel' from module 'jupyter-matplotlib'",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "eb1d7b13265644c2a81b607f4445077f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "2.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f5a8d2dcd01846598829fed4b28ae444": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "MPLCanvasModel",
      "state": {
       "_data_url": 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",
       "_figure_label": "Figure 4",
       "_model_module_version": "^0.12",
       "_size": [
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       "_view_module_version": "^0.12",
       "layout": "IPY_MODEL_a70434ac3567442eb7a8dd6d67f28986",
       "toolbar": "IPY_MODEL_d35b8edc22354b7faaf243a75eb7c3e3",
       "toolbar_position": "left"
      }
     },
     "f72c0d7c0d7047778ed054ea4d43dbde": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "2.0.0",
      "model_name": "MPLCanvasModel",
      "state": {
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",
       "_figure_label": "Figure 3",
       "_size": [
        640,
        480
       ],
       "_view_name": "ErrorWidgetView",
       "error": {},
       "layout": "IPY_MODEL_cd90341ac32948ce923b6dd1b0e41c7b",
       "msg": "Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib'",
       "toolbar": "IPY_MODEL_eace6881b1a54b3988d48897c14786e7",
       "toolbar_position": "left"
      }
     },
     "fcc82b21ed284c018b7ed302d1cc11d1": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "ToolbarModel",
      "state": {
       "_model_module_version": "^0.12",
       "_view_module_version": "^0.12",
       "collapsed": true,
       "layout": "IPY_MODEL_2682d3af43f5438ca4158d62f55aa092",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     },
     "ff05ba4a6c4744a6846adabe856d8dad": {
      "model_module": "jupyter-matplotlib",
      "model_module_version": "^0.12",
      "model_name": "ToolbarModel",
      "state": {
       "_model_module_version": "^0.12",
       "_view_module_version": "^0.12",
       "collapsed": true,
       "layout": "IPY_MODEL_1047c34db907483f83dceb930b169f3d",
       "orientation": "vertical",
       "toolitems": [
        [
         "Home",
         "Reset original view",
         "home",
         "home"
        ],
        [
         "Back",
         "Back to previous view",
         "arrow-left",
         "back"
        ],
        [
         "Forward",
         "Forward to next view",
         "arrow-right",
         "forward"
        ],
        [
         "Pan",
         "Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
         "arrows",
         "pan"
        ],
        [
         "Zoom",
         "Zoom to rectangle\nx/y fixes axis",
         "square-o",
         "zoom"
        ],
        [
         "Download",
         "Download plot",
         "floppy-o",
         "save_figure"
        ]
       ]
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}