{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bayesian Optimisation of starting Gaussian Process hyperparameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "Aovwtky_5Cao"
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "from shutil import copyfile\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "a517af1c-4204-45c9-aae4-865a2cb259e9"
   },
   "source": [
    "Data manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "62628e60-28c6-4a9a-8a81-22e5bfd74722"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "acb33a41-06b9-4a1d-9ea7-6a2d87b1f4fb"
   },
   "source": [
    "Plotting / Visualisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "bVyvgbND5642"
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "E9mmvHyH57RO"
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "plt.rcParams[\"figure.figsize\"] = (15, 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "90fdac33-eed4-4ab4-b2b1-de0f1f27727b"
   },
   "source": [
    "Gaussian Process Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "3Z6cHHaD6EkP"
   },
   "outputs": [],
   "source": [
    "import gpflow\n",
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[name: \"/device:CPU:0\"\n",
       " device_type: \"CPU\"\n",
       " memory_limit: 268435456\n",
       " locality {\n",
       " }\n",
       " incarnation: 11949572383101596454]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tensorflow.python.client import device_lib\n",
    "device_lib.list_local_devices()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "-fqvYTly6E9D"
   },
   "outputs": [],
   "source": [
    "from gpflow.utilities import print_summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "VpKUUEvC6F7i"
   },
   "outputs": [],
   "source": [
    "gpflow.config.set_default_summary_fmt(\"notebook\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Input scaler:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler, RobustScaler\n",
    "from sklearn.exceptions import NotFittedError"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bayesian optimisation based on gaussian processes:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0aba0df5-b0e3-4738-bb61-1dad869d1ea3"
   },
   "source": [
    "## Load previously exported data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs_train = []\n",
    "dfs_test = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_exps = ['Exp1', 'Exp3', 'Exp5', 'Exp6']\n",
    "test_exps = ['Exp2', 'Exp4', 'Exp7']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "for exp in train_exps:\n",
    "    dfs_train.append(pd.read_csv(f\"../Data/Good_CARNOT/{exp}_table.csv\").rename(columns = {'Power': 'SimulatedHeat'}))\n",
    "    \n",
    "for exp in test_exps:\n",
    "    dfs_test.append(pd.read_csv(f\"../Data/Good_CARNOT/{exp}_table.csv\").rename(columns = {'Power': 'SimulatedHeat'}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#t_cols = ['time_h', 'time_m']\n",
    "t_cols = []\n",
    "w_cols = ['SolRad', 'OutsideTemp']\n",
    "u_cols = ['SimulatedHeat']\n",
    "y_cols = ['SimulatedTemp']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "t_lags = 0\n",
    "w_lags = 1\n",
    "u_lags = 2\n",
    "y_lags = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_cols = {\n",
    "    't': (t_lags, t_cols),\n",
    "    'w': (w_lags, w_cols),\n",
    "    'u': (u_lags, u_cols),\n",
    "    'y': (y_lags, y_cols)\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create the scaler and set up input data scaling:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "7uZWtjPo6XhD",
    "outputId": "e0c4a8be-881e-4adc-a344-0b7e4ee9bc75"
   },
   "outputs": [],
   "source": [
    "scaler = MinMaxScaler(feature_range = (-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_scaled_df(df, dict_cols, scaler):\n",
    "    \n",
    "    t_list = dict_cols['t'][1]\n",
    "    w_list = dict_cols['w'][1]\n",
    "    u_list = dict_cols['u'][1]\n",
    "    y_list = dict_cols['y'][1]\n",
    "    \n",
    "    df_local = df[t_list + w_list + u_list + y_list]\n",
    "    df_scaled = df_local.to_numpy()\n",
    "    \n",
    "    try:\n",
    "        df_scaled = scaler.transform(df_scaled)\n",
    "    except NotFittedError:\n",
    "        df_scaled = scaler.fit_transform(df_scaled)\n",
    "        \n",
    "    df_scaled = pd.DataFrame(df_scaled, index = df_local.index, columns = df_local.columns)\n",
    "    \n",
    "    return df_scaled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train = pd.concat(dfs_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>SolRad</th>\n",
       "      <th>OutsideTemp</th>\n",
       "      <th>SimulatedHeat</th>\n",
       "      <th>SimulatedTemp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>57.936582</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-31500</td>\n",
       "      <td>23.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>54.914443</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-31500</td>\n",
       "      <td>20.585367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>73.944706</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-31500</td>\n",
       "      <td>20.300922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>76.206334</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-31500</td>\n",
       "      <td>20.034647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>65.120057</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-31500</td>\n",
       "      <td>19.786064</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      SolRad  OutsideTemp  SimulatedHeat  SimulatedTemp\n",
       "0  57.936582         22.0         -31500      23.000000\n",
       "1  54.914443         22.0         -31500      20.585367\n",
       "2  73.944706         22.0         -31500      20.300922\n",
       "3  76.206334         22.0         -31500      20.034647\n",
       "4  65.120057         22.0         -31500      19.786064"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train = df_train[t_cols + w_cols + u_cols + y_cols]\n",
    "df_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Condition number of the raw input data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16199.169760599052"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.linalg.cond(df_train.to_numpy())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fit the scaler and scale the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train_sc = get_scaled_df(df_train, dict_cols, scaler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(scaler, open(Path(\"scaler.pkl\"), 'wb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check the condition number of the input data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.946636675064373"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.linalg.cond(df_train_sc.to_numpy())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "NOTE: Condition number of scaled data is much smaller. This makes sense."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Scale the data for each experiment individually. Used for validation graphs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs_train_sc = []\n",
    "dfs_test_sc = []\n",
    "for df in dfs_train:\n",
    "    df_sc = get_scaled_df(df, dict_cols, scaler)\n",
    "    dfs_train_sc.append(df_sc)\n",
    "    \n",
    "for df in dfs_test:\n",
    "    df_sc = get_scaled_df(df, dict_cols, scaler)\n",
    "    dfs_test_sc.append(df_sc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set up the function which generated the GPR input matrix from the experimental data (including all autoregressive inputs, etc.):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def data_to_gpr(df, dict_cols):\n",
    "    \n",
    "    t_list = dict_cols['t'][1]\n",
    "    w_list = dict_cols['w'][1]\n",
    "    u_list = dict_cols['u'][1]\n",
    "    y_list = dict_cols['y'][1]\n",
    "    \n",
    "    df_gpr = df[t_list + w_list + u_list + y_list].copy()\n",
    "    \n",
    "    for lags, names in dict_cols.values():\n",
    "        for name in names:\n",
    "            col_idx = df_gpr.columns.get_loc(name)\n",
    "            for lag in range(1, lags + 1):\n",
    "                df_gpr.insert(col_idx + lag, f\"{name}_{lag}\", df_gpr.loc[:, name].shift(lag))\n",
    "\n",
    "    df_gpr.dropna(inplace = True)\n",
    "    \n",
    "    return df_gpr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>SolRad</th>\n",
       "      <th>SolRad_1</th>\n",
       "      <th>OutsideTemp</th>\n",
       "      <th>OutsideTemp_1</th>\n",
       "      <th>SimulatedHeat</th>\n",
       "      <th>SimulatedHeat_1</th>\n",
       "      <th>SimulatedHeat_2</th>\n",
       "      <th>SimulatedTemp</th>\n",
       "      <th>SimulatedTemp_1</th>\n",
       "      <th>SimulatedTemp_2</th>\n",
       "      <th>SimulatedTemp_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.855164</td>\n",
       "      <td>-0.859463</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.295224</td>\n",
       "      <td>-0.270561</td>\n",
       "      <td>-0.244215</td>\n",
       "      <td>-0.020567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.876235</td>\n",
       "      <td>-0.855164</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.318248</td>\n",
       "      <td>-0.295224</td>\n",
       "      <td>-0.270561</td>\n",
       "      <td>-0.244215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.911207</td>\n",
       "      <td>-0.876235</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.340062</td>\n",
       "      <td>-0.318248</td>\n",
       "      <td>-0.295224</td>\n",
       "      <td>-0.270561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-0.933425</td>\n",
       "      <td>-0.911207</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.361066</td>\n",
       "      <td>-0.340062</td>\n",
       "      <td>-0.318248</td>\n",
       "      <td>-0.295224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.952322</td>\n",
       "      <td>-0.933425</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.051533</td>\n",
       "      <td>-0.361066</td>\n",
       "      <td>-0.340062</td>\n",
       "      <td>-0.318248</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     SolRad  SolRad_1  OutsideTemp  OutsideTemp_1  SimulatedHeat  \\\n",
       "3 -0.855164 -0.859463     0.058824       0.058824           -1.0   \n",
       "4 -0.876235 -0.855164     0.058824       0.058824           -1.0   \n",
       "5 -0.911207 -0.876235     0.058824       0.058824           -1.0   \n",
       "6 -0.933425 -0.911207     0.058824       0.058824            1.0   \n",
       "7 -0.952322 -0.933425     0.058824       0.058824           -1.0   \n",
       "\n",
       "   SimulatedHeat_1  SimulatedHeat_2  SimulatedTemp  SimulatedTemp_1  \\\n",
       "3             -1.0             -1.0      -0.295224        -0.270561   \n",
       "4             -1.0             -1.0      -0.318248        -0.295224   \n",
       "5             -1.0             -1.0      -0.340062        -0.318248   \n",
       "6             -1.0             -1.0      -0.361066        -0.340062   \n",
       "7              1.0             -1.0       0.051533        -0.361066   \n",
       "\n",
       "   SimulatedTemp_2  SimulatedTemp_3  \n",
       "3        -0.244215        -0.020567  \n",
       "4        -0.270561        -0.244215  \n",
       "5        -0.295224        -0.270561  \n",
       "6        -0.318248        -0.295224  \n",
       "7        -0.340062        -0.318248  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs_gpr_train = []\n",
    "for df_sc in dfs_train_sc:\n",
    "    dfs_gpr_train.append(data_to_gpr(df_sc, dict_cols))\n",
    "df_gpr_train = pd.concat(dfs_gpr_train)\n",
    "df_gpr_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_gpr_train = df_gpr_train.sample(n = 500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs_gpr_test = []\n",
    "for df_sc in dfs_test_sc:\n",
    "    dfs_gpr_test.append(data_to_gpr(df_sc, dict_cols))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "eZAetwUd6YuE"
   },
   "outputs": [],
   "source": [
    "df_input_train = df_gpr_train.drop(columns = dict_cols['w'][1] + dict_cols['u'][1] + dict_cols['y'][1])\n",
    "df_output_train = df_gpr_train[dict_cols['y'][1]]\n",
    "\n",
    "np_input_train = df_input_train.to_numpy()\n",
    "np_output_train = df_output_train.to_numpy().reshape(-1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_train = (np_input_train, np_output_train)\n",
    "#pickle.dump(data_train, open(Path(\"data_train.pkl\"), 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>SolRad_1</th>\n",
       "      <th>OutsideTemp_1</th>\n",
       "      <th>SimulatedHeat_1</th>\n",
       "      <th>SimulatedHeat_2</th>\n",
       "      <th>SimulatedTemp_1</th>\n",
       "      <th>SimulatedTemp_2</th>\n",
       "      <th>SimulatedTemp_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>-0.974464</td>\n",
       "      <td>0.176471</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.326189</td>\n",
       "      <td>-0.087420</td>\n",
       "      <td>0.321339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>-0.777500</td>\n",
       "      <td>0.176471</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.084498</td>\n",
       "      <td>-0.059295</td>\n",
       "      <td>0.355899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>-0.553813</td>\n",
       "      <td>-0.647059</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.865533</td>\n",
       "      <td>-0.846006</td>\n",
       "      <td>-0.826211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>-0.994317</td>\n",
       "      <td>-0.294118</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.564532</td>\n",
       "      <td>-0.153945</td>\n",
       "      <td>-0.566251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>-0.519473</td>\n",
       "      <td>-0.647059</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.925709</td>\n",
       "      <td>-0.909629</td>\n",
       "      <td>-0.893742</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     SolRad_1  OutsideTemp_1  SimulatedHeat_1  SimulatedHeat_2  \\\n",
       "300 -0.974464       0.176471              1.0              1.0   \n",
       "480 -0.777500       0.176471             -1.0             -1.0   \n",
       "515 -0.553813      -0.647059             -1.0             -1.0   \n",
       "59  -0.994317      -0.294118              1.0             -1.0   \n",
       "521 -0.519473      -0.647059              1.0             -1.0   \n",
       "\n",
       "     SimulatedTemp_1  SimulatedTemp_2  SimulatedTemp_3  \n",
       "300         0.326189        -0.087420         0.321339  \n",
       "480        -0.084498        -0.059295         0.355899  \n",
       "515        -0.865533        -0.846006        -0.826211  \n",
       "59         -0.564532        -0.153945        -0.566251  \n",
       "521        -0.925709        -0.909629        -0.893742  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_input_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "id": "l_VzOWL66aD3"
   },
   "outputs": [],
   "source": [
    "## Define Kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "oBHgoYNf6b6t"
   },
   "outputs": [],
   "source": [
    "nb_dims = np_input_train.shape[1]\n",
    "rational_dims = np.arange(0, (dict_cols['t'][0] + 1) * len(dict_cols['t'][1]), 1)\n",
    "nb_rational_dims = len(rational_dims)\n",
    "squared_dims = np.arange(nb_rational_dims, nb_dims, 1)\n",
    "nb_squared_dims = len(squared_dims)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_WagEJum8uUG",
    "outputId": "c65ec503-b964-49f6-fe3a-51c57a175f9b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rational: 0\n",
      "squared: 7\n"
     ]
    }
   ],
   "source": [
    "print(f\"rational: {nb_rational_dims}\")\n",
    "print(f\"squared: {nb_squared_dims}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "id": "kTIQlLIP6dJz"
   },
   "outputs": [],
   "source": [
    "squared_l = np.linspace(1, 1, nb_squared_dims)\n",
    "rational_l = np.linspace(1, 1, nb_rational_dims)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "MEGkQJvY_izQ"
   },
   "outputs": [],
   "source": [
    "variance = tf.math.reduce_variance(np_input_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "id": "WZfssVHG6edn"
   },
   "outputs": [],
   "source": [
    "k0 = gpflow.kernels.SquaredExponential(lengthscales = squared_l, active_dims = squared_dims, variance = variance)\n",
    "k1 = gpflow.kernels.Constant(variance = variance)\n",
    "k2 = gpflow.kernels.RationalQuadratic(lengthscales = rational_l, active_dims = rational_dims, variance = variance)\n",
    "k3 = gpflow.kernels.Periodic(k2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 169
    },
    "id": "vo8rcdBm6fuc",
    "outputId": "75485dcd-961c-40d9-cf1f-d10516e2b80f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>name                           </th><th>class    </th><th>transform  </th><th>prior  </th><th>trainable  </th><th>shape  </th><th>dtype  </th><th>value             </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>SquaredExponential.variance    </td><td>Parameter</td><td>Softplus   </td><td>       </td><td>True       </td><td>()     </td><td>float64</td><td>0.4604227545301106</td></tr>\n",
       "<tr><td>SquaredExponential.lengthscales</td><td>Parameter</td><td>Softplus   </td><td>       </td><td>True       </td><td>(7,)   </td><td>float64</td><td>[1., 1., 1....    </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = (k0 + k1) * k2\n",
    "k = k0\n",
    "print_summary(k)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4af25a43-15c9-4543-af73-3c313b5fc7af"
   },
   "source": [
    "## Compile Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 190
    },
    "id": "PC4cbp926j29",
    "outputId": "72c9441d-2657-4e0f-de70-11a197d07ad3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>name                   </th><th>class    </th><th>transform       </th><th>prior  </th><th>trainable  </th><th>shape  </th><th>dtype  </th><th>value             </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>GPR.kernel.variance    </td><td>Parameter</td><td>Softplus        </td><td>       </td><td>True       </td><td>()     </td><td>float64</td><td>0.4604227545301106</td></tr>\n",
       "<tr><td>GPR.kernel.lengthscales</td><td>Parameter</td><td>Softplus        </td><td>       </td><td>True       </td><td>(7,)   </td><td>float64</td><td>[1., 1., 1....    </td></tr>\n",
       "<tr><td>GPR.likelihood.variance</td><td>Parameter</td><td>Softplus + Shift</td><td>       </td><td>True       </td><td>()     </td><td>float64</td><td>1.0               </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = gpflow.models.GPR(\n",
    "    data = data_train, \n",
    "    kernel = k, \n",
    "    mean_function = None,\n",
    "    )\n",
    "print_summary(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "#m.likelihood.variance.assign(0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "#gpflow.set_trainable(m.likelihood.variance, False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "08f41235-12df-4e9c-bf63-e7a4390cf21a"
   },
   "source": [
    "## Train Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "id": "Pn5TwPPT6ogs"
   },
   "outputs": [],
   "source": [
    "opt = gpflow.optimizers.Scipy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "id": "slQg9Ohv6oxR"
   },
   "outputs": [],
   "source": [
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 212
    },
    "id": "GhsxZhc56p43",
    "outputId": "778ec150-cfc3-44b7-9e21-e52bf69d494a",
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished fitting in 0:00:02.662818\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>name                   </th><th>class    </th><th>transform       </th><th>prior  </th><th>trainable  </th><th>shape  </th><th>dtype  </th><th>value                                 </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>GPR.kernel.variance    </td><td>Parameter</td><td>Softplus        </td><td>       </td><td>True       </td><td>()     </td><td>float64</td><td>0.614448011499247                     </td></tr>\n",
       "<tr><td>GPR.kernel.lengthscales</td><td>Parameter</td><td>Softplus        </td><td>       </td><td>True       </td><td>(7,)   </td><td>float64</td><td>[2.09687221, 2.83126912, 8.24983556...</td></tr>\n",
       "<tr><td>GPR.likelihood.variance</td><td>Parameter</td><td>Softplus + Shift</td><td>       </td><td>True       </td><td>()     </td><td>float64</td><td>1e-06                                 </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start_time = datetime.now()\n",
    "opt.minimize(m.training_loss, m.trainable_variables)\n",
    "print(f\"Finished fitting in {datetime.now() - start_time}\")\n",
    "print_summary(m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Export model parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(m, open(Path('gp_model.pkl'), 'wb'))\n",
    "pickle.dump(dict_cols, open(Path('dict_cols.pkl'), 'wb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7dd49280-bb3f-4903-a339-b7225a56ae16"
   },
   "source": [
    "## Evaluate performance on training data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_plts = len(dfs_train)\n",
    "\n",
    "plt.figure(figsize = (20, 20))\n",
    "\n",
    "for idx, df_iter in enumerate(dfs_gpr_train):\n",
    "    plt.subplot(nb_plts, 1, idx + 1)\n",
    "    df_input_iter = df_iter.drop(columns = dict_cols['w'][1] + dict_cols['y'][1] + dict_cols['u'][1])\n",
    "    df_output_iter = df_iter[dict_cols['y'][1]]\n",
    "    np_input_iter = df_input_iter.to_numpy()\n",
    "    np_output_iter = df_output_iter.to_numpy().reshape(-1, 1)\n",
    "    \n",
    "    mean, var = m.predict_f(np_input_iter)\n",
    "    \n",
    "    plt.plot(df_iter.index, np_output_iter[:, :], label = 'Measured data')\n",
    "    plt.plot(df_iter.index, mean[:, :], label = 'Gaussian Process Prediction')\n",
    "    plt.fill_between(\n",
    "        df_iter.index, \n",
    "        mean[:, 0] - 1.96 * np.sqrt(var[:, 0]),\n",
    "        mean[:, 0] + 1.96 * np.sqrt(var[:, 0]),\n",
    "        alpha = 0.2\n",
    "    )\n",
    "    plt.title(f\"Model Performance on training data: {train_exps[idx]}\")\n",
    "    plt.legend()\n",
    "plt.savefig(f\"Performance_train_exps.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate performance on test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "def SMSE(measured, predicted):\n",
    "    N = measured.size\n",
    "    measured_var = np.var(measured)\n",
    "    SMSE = np.power(measured - predicted, 2).sum()/(N*measured_var)\n",
    "    return SMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "def RMSE(measured, predicted):\n",
    "    N = measured.size\n",
    "    RMSE = np.sqrt(np.power(measured - predicted, 2).sum()/N)\n",
    "    return RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "def LPD(measured, predicted_mean, predicted_var):\n",
    "    N = measured.size\n",
    "    sum_part = np.log(predicted_var) + np.power(measured - predicted_mean, 2)/predicted_var\n",
    "    LPD = 1/2*np.log(2*np.pi) + 1/(2*N)*sum_part.sum()\n",
    "    return LPD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "def MSLL(measured, predicted_mean, predicted_var):\n",
    "    measured_var = np.var(measured)\n",
    "    measured_mean = np.mean(measured)\n",
    "    return LPD(measured, predicted_mean, predicted_var) - LPD(measured, measured_mean, measured_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_plts = len(dfs_test)\n",
    "\n",
    "test_smse = 0\n",
    "test_rmse = 0\n",
    "test_lpd = 0\n",
    "test_msll = 0\n",
    "\n",
    "plt.figure(figsize = (20, 20))\n",
    "\n",
    "for idx, df_iter in enumerate(dfs_gpr_test):\n",
    "    plt.subplot(nb_plts, 1, idx + 1)\n",
    "    df_input_iter = df_iter.drop(columns = dict_cols['w'][1] + dict_cols['y'][1] + dict_cols['u'][1])\n",
    "    df_output_iter = df_iter[dict_cols['y'][1]]\n",
    "    np_input_iter = df_input_iter.to_numpy()\n",
    "    np_output_iter = df_output_iter.to_numpy().reshape(-1, 1)\n",
    "    \n",
    "    mean, var = m.predict_f(np_input_iter)\n",
    "    \n",
    "    test_smse += SMSE(np_output_iter, mean.numpy())\n",
    "    test_rmse += RMSE(np_output_iter, mean.numpy())\n",
    "    test_lpd += LPD(np_output_iter, mean.numpy(), var.numpy())\n",
    "    test_msll += MSLL(np_output_iter, mean.numpy(), var.numpy())\n",
    "\n",
    "    \n",
    "    plt.plot(df_iter.index, np_output_iter[:, :], label = 'Measured data')\n",
    "    plt.plot(df_iter.index, mean[:, :], label = 'Gaussian Process Prediction')\n",
    "    plt.fill_between(\n",
    "        df_iter.index, \n",
    "        mean[:, 0] - 1.96 * np.sqrt(var[:, 0]),\n",
    "        mean[:, 0] + 1.96 * np.sqrt(var[:, 0]),\n",
    "        alpha = 0.2\n",
    "    )\n",
    "    plt.title(f\"Model Performance on test data: {test_exps[idx]}\")\n",
    "    plt.legend()\n",
    "plt.savefig(f\"Performance_test_exps.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multistep prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_input = dfs_gpr_train[0].drop(columns = dict_cols['w'][1] + dict_cols['u'][1] + dict_cols['y'][1])\n",
    "df_output = dfs_gpr_train[0][dict_cols['y'][1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_idx = 25\n",
    "nb_predictions = 25\n",
    "N_pred = 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f0450b101c0>]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5XC5YG0B37AccMITR0ZjV1+IiWsjpTq0cG4sjGg1rG0MrxsbiCIWYtfOleY6YYGpDEARBELIgITegyGhEHIT+U801cu7XbCWbLSAcZhgbi2sXLaJwfkZiIli6PxMTm4EDQCikP+3UD60icjYb/RAEQRBEO0jIDSgiN8QumUwSxWIV+bx9/adKpX2bMwdFyLm1QrpFiyiao6Z+0W1Nb6qQA1yRa2v7gWBF1gmCIAiiHb6EHGNskjF2LWPswZXfJ9p83zcYY08wxu7z836EOERuiF1s3jStbsfQ6KVl37W4rE4VtflaACCfr6BQqAqvkdMVQTZbyKWsnC+1Wh0zM43P1XUntbXejyAIgiA64TcidwGA6znnmwBcv/L3VnwTwCt8vhchEFmple5r20ajGbgj4JLJKIaGotZGJYC1qaI2/lyaaTitinER1W1Nb7aQS1opfmZni+C8sRaZ4E5KEARBELLwK+ROB3DJyp8vAXBGq2/inP8CwIzP9yIEwTknIbeKVu0YbBc/q1PMbL4WQHzLDN1GGKYLORvnSyuxrzuFliAIgiBk4VfI7c85fxwAVn7fz/+QCNksL1dQKtX2bmRFYbeQcyJvQRJy+6ZWprC8XEGhYF/9ootoIafTZl90mqho3CiWbcZF7Q5kyOyEIAiCCCJdG4Izxq4D8KQW/7RV/HAAxtgWAFsAYP369TLeYuCR1YjYZiHnbuabxa3NQs6Nuq524czlijjooKjOofWNLCGnI33W1GbgLplMEtVqHQsLZYyNies1KZt2Qu6BByghhCAIgggeXYUc5/xl7f6NMfYXxtgBnPPHGWMHAHjC74A459sBbAeAo446yq7jYEsQvSF2GR9PWNt/qlEjt+8G8MEHZ3UNyRfz8yXUaryle99BB43oHFrfrK5j9IvO1MpW880kmueL7UIunaaIHEEQBBFM/KZW/gjAOSt/PgfAlT5fj1CALCEXCjFMTtppLJDNFjA6GkMs1mjObHNEbrULp83RUpdcrgDGgIkJcX3knNdVn1op6x4Uha3911qJfdv7WxIEQYhkenoHNm7cjlDoQmzcuB3T0zt0D4nwgV8h91kAJzPGHgRw8srfwRg7kDF2lftNjLHLANwC4BDG2KOMsfN8vi/hA5nRAFvFT6t2DOl0EgsLZZTLNU2j6p/VG9ogCLlstoDJySTCYTHtL11rep0ROXOFnGMWYtt8yWYLGBqKIplspA+n0wmt7qQEQRCmMD29A1u2XINduxbAObBr1wK2bLmGxJzF+NoRcc5znPOTOOebVn6fWfn6Y5zzU5u+7y2c8wM451HO+UGc84v8Dpzon9XRGpHYKuSa68lc3M9nZsY+G/aGeUtq5Xd99WCiEO3yqLNRuulCztY+iq3miM7IK0EQ/UORI/Fs3Xoz8vnqPl/L56vYuvVmTSMi/CLmaJuwimw2j1CIYXxcfO2LzUKu3QbQRvGzWqxPTCTAmH0b82Zk2PXr6jGWzYpNExWNrRHczvexXddCEIMMRY7ksHv3gqevE+ZDQm4AcVLUEsJS1JqxVci1Sq20eQO4OrUyEglhYsLO+kUXWb0PddSBZbMFTEwkEImYuQSPjcURDttnXNRqjriRdtvq/QhikKHIkVg457jssvsRCrGW/75+/ajiERGiMHMXQUilVRqhKGw1FuiUWmnbZhZwxhwOs30cB20V2S7Oz0hsBEtnaqWpaZVAI+3UNvFDETmCCAYUORLHPffswYtf/F2cddZP8ZSnjCCRCO/z76lUBNu2Ha9pdIRfSMgNILlcUdomsrn/lC2USlUsLVUCtQF0I4yMNU7fbBZybl888amVej6TVhFg07BxvnSKyNl2LQQxiOTzFXz607e0/XeKHPXO7GwRf/u31+OII76F3/0uh+3bT8FDD70dX//6y3HggUMAnKyd7dtPwdTUZs2jJfqFhNwAIjMaYKP4aWf+YvMGsN2G1lbDh+XlCsrlmrTUStURZNMjcoA+kdsvlUoN8/OlNZ+rmyZqW3SRIAaJWq2Oiy++F5s2XYSPfeyXOOqo/Y2JHNlmulKvc1x00b14xjMuwr/9291497sPw//939vwjnc8F+FwCFNTm3HPPW8FAHz0o8eSiLMcEnIDiIwUNRcb+0+1azQdi4UxOhqzajPr0i5V1MZrAeS5PGYySS3W9DLTm0Vh23xpdyATCjHrRClBDBLXXrsTRx55Kd72tqvxlKeM4Oab34Lbb/9rfP3rL8fQUAQAsGHDqJbIkW2mK7ff/jiOOWYab3/71TjkkEncdddf4ytfeRkmJ/ddF8fH4wiF6IArCJCQGzA451LTumzsP9VJJNi2mXVpVytkY/0i0PwzSgl9XR1RV1lpoqKxbe43Wm6s/VzT6QRtWAjCMO69dw9e8Yr/ximn/DcWF8v47ndPwy23nIXjjnsyAGBqajPe8Y7DMDISw86dW7REjmwxXdmzJ4+3v/1qvOAF03jkkUVceumpuOmmN+Pww/dr+f3hcAiTk3YboBEOEd0DINSyvFxBqSQ+Rc3FxtTKThtA2zazLu1cOIvFKvL5CoaGYppG1h8yI3KAE805+GChL90W2fegKJrTTptrLU2l84FMysr7mCCCyGOPLeHjH/8lLr74PoyNxfGFL7wY73nP4YjH125J0+kEFhfLKJdriMXCLV5NLqaZrkxP78DWrTdj9+4FrF8/in/8x+MwP1/Cxz72SywtVfChDx2Fj33sWIyOdm8vZev+htgXEnIDhuxGxDYKOTclq1WqWyaTxF/+YlcfOTfi08mF01YhJ8O10nl9dT9j05uBuzSnnY6Pm9nvrplOn2s6ncBDD80pHhFBqGX1Jn/btuONqn9aWirjX/7lDlx44R2oVjn+7u+OxNatx6xJ+2umuVzjgAOGVQ11L+vXj2LXrrWiTYfpipvm6UYId+1awDnn/AycAy972QZ86UsvxaGHpnt+PUo5DwaUWjlgNDbEcjaRo6MxRCIhqxaHTp+JjSdW8/Ml1Go8UC6csiNyKj8TW4ScbWY/ndJvbbyPCcILptVyNRuEbNjwNbz97T/HwQd/HZ/61C149aufjvvvPxef//xLOoo4QP9za9u245FK7Rvz0GW60irNk3PnM7rmmjd4EnGAvj6qhFhIyA0Y7k0raxPp9p+yadOUzRYwOhprmbZh27UA7U0fdD8Q/ZDLFRAKMeGRIR1ixRYhZ9t86RS1tbk+lCB6waRartWicvfuRVx00X0YHY3hllvOwuWXvxpPe9p4T6+l+0Bpamoztm8/BSMjThbL2Fhcm11/u3TOXK7QV/q7jfsbYi0k5AYMFZtI2xaHTuYvmUwKy8sVFAoVxaPqn3YbWts25s24TquhkNhaLTeCrLItAwk5OWSzBYyNxRGNrj2QSaed/paLi/b0tySIXllcLLdM/wP01HK1EpUAUCrVcMwxB3p6LROcsKemNuO1r3WKqM8+e7O2dNV26Zz9pnmm0wk64AoAJOQGDBJya+lkBd9shmELDfOWfVPMbNuYNyPL5VFHBFl2VFwUJmygvNBpjtg89wmiE7fd9jiOOOJbbf9dRy1XO/H4yCOLnl9Ld0TOxX1/nXsB0WmemUwSlUodS0v2HFQTayEhN2Bks3JS1JpxNsb2GIQEbQPYLrVyfNyJaNl0LS7Oz0hs6wEX91RSFSruQRHYNvc73cfuZtAWUUoQ3ajV6ti27VYcd9x3UKnU8LGPHWNMLZfIyJGbWaL7MNVdB3Wuh26aZ2hl5+63t54Osy8Z2NawXTQk5AaMXK6AyUnxKWrN2BaR65xaaddmFmifWuk0Rrazb4zMvmuqC76zWfn3oAhGRuwyLgragQxBtGPXrnm85CX/hY9+9Ga86U2H4Le/PQef+tTx2L79FExMOLbzBx00rK2Wa9u249fUnPcrKuPxCEZGYtrvXROEHACceeYzwTnwiU8c67u3no19f1djmsmPDkjIDRgqGhE7G+Mi6nU78q57Sa20aaHLZgsIhxnGxtb2kbFNZLu4NXIyUP2Z2NAMHLDPuIiEHDEIXH75AzjssG/h7rufwKWXnorp6Vftje5PTW3Gl750EgDghhvO1FbLNTW1GWeeeQgAgDH/kSMTDiAbqZV6xzE7W9zrVOkXU6KdfjDJ5EcX1EduwFAl5Op1jrm5YldrYd0Ui1UsLVU6pGQ5C51NqQduhLGVi5WNjZHdvniy5q3qXjq2CDnALuHfSewHYcNCDDYLCyW8733X49JLd+DYYw/Et799akvnx8Yzq4BNmyYUj7LBU586BsaASuUDCIf9xQx02+SXyzUsLDhGSbrXw05tVrwShAMu0xq264AicgNGLleU1kPOxabFoZvxhCtEbdoAdotM2PBzaWZxsYxqtS49tVKVc5dtQs6GuV8oVLC8XGm7ubG5PpQgbrnlMRx++LcwPX0/PvGJY/GLX7y5rX2/Kc/fbLaAiYmEbxEH6G9c7e4TnvKUESwvV1AsrnXkVIVIwzpT5oofRDt52ggJuQFDVUTOfS/TcTep7U7yI5EQJib0p3V4oVuqqE3XAsh3Ws1kkqjVOObnS1JefzW2CTkbotHtDH5cQiGGycmE9rQogvBCtVrHJz/5K7zoRZeBc46bbnoz/t//Ow6RSPutmykGFiLXOd0ROfcZ9MxnTgLQm14p8nkYhAMukxq264KE3AAhO0XNxSYh18uiaJv46SUiZ1PfGBVCrvl9ZKLqHhSF7pPwXgnifUwMNn/84xxOPPFy/L//9yu85S2H4u67z8ELX/jkrv/PjUrrjqSLFnI6793VQs6EsYioGQ/CAZfr5BmPO+Y6+++f0mbyowsScgPE0lIF5XJNmmmEi11Czu25FpwNYDcXzmq1vjff3wZE1gS0QmWfItlpoqKxxbiIhBxhO80W6pnMV3DooRfjvvuymJ5+FS699NSW5lWtGB6OIhYLa5/rIoVcOp3EwkIZ5XJNyOt5xf0sDznEJCEXDJEsgqmpzXjqU8cAYOBEHEBCbqBQ1YjYJiHXSK0MxgbQjfgEzYUTEHMC2QqVja9lRxdF02xcZDK9fK7ptN70LKKBKX2fTBpHs4V6LldEpVLHJz95HM4661BPr8WYGW1mREfkAGBmRs86ZFZqZR6pVASpVFTI69m0v+mEKe0hdEBCboCQHdlwSaWiSCQiVtxQvZxu2bTQzc+XUKvxQNmwBym1UvRpqmwaItd0IRe8yHpQMaXvkynjAFpbqNfrHF/84l19vZ7uuS46hVy3e7RJEblcrij0WRiEA65arb5X5Nt+Lf1AQm6AUBUNsKn/VDZbwOhobE3z0mZsqivrZvpgSiG8F3K59n3xRKAytdLGiBxgvvDPZgtgDJiYaB+1ddNEbbiPg4wpfZ9MGQcg3kJd9/N3edkp4xAXkdNb95fNFjA2Fsf+++tvoO0IZHGH8brnigjm5kp70/9tv5Z+ICE3QMhOUWvGlsWhUz2ZSyaTRLFYRT5fUTSq/un2M7YlwtKMe7Lbqi+eCEZHY4hEQko+E9uEXHNPKpNxrc47ufml0wmUyzUsLZl/HwcZU/o+mTIOQLyFuikuj6JTK3WtQ+4zKBoNY2wsrvX5Kdosy6aD6nY0zwvTn1UyICE3QKiqkXPfw4YbqlM9mYvuh4gXGilmrU/sVEafRCHb5VFlBNk2IWdLBLeXOWLLtQQdU/o+mTIOwLFQd133XPxYqOt+/oou49B9oNS8vpjw2YpNrUygUqljcdEeA7TVkJAjBoZstoBQiGF8XH5EzoRi617wtgE0/3q6pVa60ScbrsVFVcsMVUJOZpqoaNyNmOnzpZc54h5i2BSNDiLbth2PWGzfrYeOvk8m9Z+amtqMd73rMAAAY8CGDaO+3PfS6SRmZoqo1eoih9kzog+sGveufiGne28jIyIH2F1b5v48dEdLdUFCboBwok9OA0jZ6D616pVeUysB8zezQPfUSpvqF116iZr6JZ1W00tHdpqoaFwrc9MfjkE7kAkyU1Ob8frXP2Pv3/2KFj/j2L79FITDzr144IHDWq3LN29OAwB2734ndu7c4mscDbfZkqjheUK0kEskIhgaimqMyOX3icjpEj2VSg3z8yXBQs6Ow7pONLuK2nwd/UJCboDI5eRviF0ymSRmZ4uoVvWcCPZK8FIru0d8bBRyQYrI2ZJWCdgj/L0IOZtPnoOCm7543nnP8S1a/DA1tXmv0dUPfnC61v5TImvYdT+zZKSQ6xRQpqRWdsu46Qfdc0UEbro8CTki8KjcRDb6vph7UxWLVSwtVQJ1ku9GGDtFfGzYmLtwznuKmvolk0kp+UxUXItodKcSdaNXq3Mb60ODiik9n/L5CgqF6spY9NZO5nIFDA1FkUz67w+m+9BCRgq5rudWPl9BPl9tSq3U9/zspc2KV9yDA9OzLjqRzRaQTEawfv0IZmf1pRTrgoTcAKFWyJkfru/V/GV83ElHNflaXHqNTOjetPRKt754onBTK2U7d9kWkQPMF/7LyxWUSt2tzsfH49bcx0HHFCHXLHR0j0Xk2qD78NHNdBFZxqFLQK3eJ2QySSwvV1AsVjv9NynIinQ2v7aNuPdOOq03pVgXJOQGCBW1Ri42LA7uCVS3VJZQiBkflXDpNVXUhmsB1Lk8ZjJJ1Goc8/NyHwAq70FRmD5fep0j4XAIExNqaiGJzrg/M90/C5Pc7kSuDbqjz9lsXnibI7cPpGpWry86jVdkPA9tOqhuhyvkbNh3yoCE3IDgpKgVladWmnxDeVkUTd/MuvRq3pLLFfc20DQZlUKu+f1kUK+rSRMVje6eVN3wYnVuy30cdEyJyDW/v+7UsqBF5EQ2rQb0pXivfgbp7MUq43kYCjFMTtp9wLVayNl8Lf1AQm5AWFqqoFzunn4kChsaT3vJN9eZF++FXlMrnfQDc382LqqEnIoTbFVpoqLJZPRamXfD64GMyWvSoOD+zHTPK5MiciIPWoeGoojHw5qFnNh1LpNJYn6+hEqlJvR1u9FOyOkUlaKzOmw/4GpOrXT/PkiQkBsQZBTJdkJ3A89eaDhABeMk3zV9CJoLJyD+wbUaFSd5qkSpaEyvO/DyudqSIh1karU6ZmYKGB2NaZ9X7v3+pCcNaZ8XIsWP6zZrgsujKNxnwMyM2oOYtamV7t5GfZ15NuvcN67Tqihs2N90glIriYFA1YbYJZmMrvR9MddUw/1MJie75/Kbnl4G9B7xsWmxC1Jqpa1CzvT5EsQU6SAzO1sE545VOKB3XmWzBTAGbNo0oXUcbn8wkXVlurJIenWR9YqudcidIxMTiZVxOAe/ulIrZTw/bF4XK5Ua5uZKlFpJBB8Z/Ue6Yfri4OV0y70W2a6Gfuj1Z2z6xryZXK6AaDSEkZGY1PchIdce0+eLF6vzdDqpxJ2UaI+7TrlCTuemK5stYGIigf33T2k9dJTVH0zHPSsrhVzXJj2bLWByMolw2Nku68w2kiXk3HXRRtwIbTqdxNBQFLGYvpRiXZCQGxB0bCJNF3JejCcymSQqlToWF8uSR9U/jahr51Nd0zfmzbgPrk598UQwMhJDJBKS+pn02u7CNEw/5fRidZ7JJFEq1bC8XFEwMqIV7j32zGem9/m7rrG4tTU6xyFjbdD1/JV1aKyr/mm1eIpGwxgdjQVKyNlwUN2O5r2tm1Jsw95GJCTkBgQScmvxYvdsg/hp1EF2rvmz4VpcZD24VtOoKZGXLuPFXdEkTJ8v2Wze04EMYK4oHQQaQk5/aqVrMKLbyVfG2mCKXb8odBmotXoG6Sq1kCnkTD+obkcrM5pBM7QiITcgZLMFhEK9pR+JwgYh53UDaPL19HoSmkpFkUhEjL4WF1VCDpA/X7NZJ010eDgq7T1kYLoTmJc5Yvq1DALuZ3/IIRP7/F3XWFwhV6/L7yPZaRxA92wKLzhuswXlrqCyjNV0pTS2E3JBisi5n62NB1ytzGgGbX0nITcg5HIFpNOJntKPRBEsIZfa+39MpdfNgE3pB16ipn6R/QBQlSYqGt1W5t0I2oFM0HE3+hs2jGqfV+76onteyIhipdNJcO6Yy6hEVkQumYwilYoor2Vstb7oSMUtFCpYXq5IyeiwYX/TjlYRORuvww8k5AYElZENl0wmiYWFMspltX1fesURt8HZAHoxfbBlsVMdkZPdfsC2+jjAfOHvLSLnnjwPVuqNSWSzBSSTEQwNxbS6ATe7K+pe393PQOShlU6Xx+b3F4nqtLl2Dpw65q1Mwzrd898Pq+8dGxzGRUNCbkBwFiO1tTkm16MUi1UsLVUCdZLvmrf0EvExeWPuUq9zzMyIa5LbjUwmpSQiZyOmPhy9Wp3bcB8Hneafl851KJ+voFisGiHkstkChoedlHdR6BRyspyGVUfClpYqKJdrRqRWyhTINvT9bcfqe8dJKS4qTynWCQm5AcFNrVSJ7odjJ7y6hI2Oync19IvXDa3J1wIAc3OO+YAq8ZNOJ6Ra09su5EycL16tzicmEmDMzMOlQaE5XVrnvGqOcDSeVXpaEMhIIddtDiIjhVz1gVK7er90OomlpQpKparCsciNdAJ2Ziqsfq6m006969ycnnpXHZCQGxB0pVa6720a7oLVq7g1Pb0M8O7CafK1AOqdVjOZJGo1eYYHNgs53fbs7fA6R8LhECYmBq8Y3iRcp0hA77xqnju6n1Uy1gadETlZ65zq+dJufdEhfGQ+D8fHHf8EG9fF1fNN972sAxJyA4DX9CNRmHxD9bMomi5+vPbFm5srolo1N/1Ah5Brfl+R1Gp1zMzYK+RMnfv93scUkdOHKamVDXMo/Y2EvazdvdJIl1NvDiLLoEr1fOkm5NSORY4bKACEQsxat8d2Qm6Q1nhfQo4xNskYu5Yx9uDK7xMtvucpjLEbGWP3M8Z+xxg73897Et5ZXCyjUqkrc/9zMdkJqZ9F0dTNrItX0wcdjmZeaN5oqUDmw3lurgTO7esh55LJJDE7a17dQT9CztTo4qCwWsjpmlfNc0dFH8luYxG9QdfVZkbmobFzAFlSdgDZbn3RUVPmvtfEhJwSmXTazgOu1f4Pg9hixm9E7gIA13PONwG4fuXvq6kC+CDn/FAAxwB4L2Nss8/3JTzgtR5MFCYX0DbqI3rfWDtCTk8NRTc458jlih5SK80V2S6qI3IyHwCqr0U0mYweK/NuBDGyHmSq1TpmZ4v7CDld82r1c1F3dFD0gZWucgC5qZXOnmJmRs01dU+tVCvkJiYSiETkJNLZui5SaqV/IXc6gEtW/nwJgDNWfwPn/HHO+a9X/rwI4H4AT/b5voQHdG0io9EwxsbiRt5Q7pgmJ3s/3TJ5oVtYKKNarQfKvU9XaqWMh3MjuqjWcEgUps6XxhzxdiBjY1F/EHA34M3iCdAzr7LZAkIhhvHx+N6x6BhHuVzDwkJZmomFyrnupJDLcxp273NV19SupY+Og1DZ5TEm72/aUSpVsbhYbinkbIwu9otfIbc/5/xxwBFsAPbr9M2MsY0AjgBwW4fv2cIYu5MxdueePXt8Do8A9EYDTF0cstkCRkdjiMXCPf8f96FYr8txNfSD15+xqRvzZrLZAuLxMIaGokreT+ZnYntEztR0lWy2gFgsjOHh3ueIrbUgQWD1faBzXrkRjnA4tHdMOsYxMyO3P5jKa5qbK0l1Glad5dPOgdM9AFb52TabBMnAxtTKVr31dNe76qCrkGOMXccYu6/Fr9O9vBFjbBjA9wH8Hed8od33cc63c86P4pwftW7dOi9vQbRBda1RM6YKuX6KyzMZ19bWvNN8rxEfG4Scl754IhgZkddiwnYhZ+p86cfqPJNJolisIp+vSBwZ0YrV94HuiNzqk3w945BnYqH60EL2Oqd6vrSLgsViYYyOxpSnVqqIyMlqvyODVvPNBodx0XTtPsk5f1m7f2OM/YUxdgDn/HHG2AEAnmjzfVE4Im6ac/6DvkdL9EWrUwtVZDJJPP74svL37UY/NQnNp8eTk2ZtyBubgd5SzEyuX3RR7bQq0/BA5mZNBaYLOS8038fr16uJ9hIOqw8VTRNyMzMF1Gr1vVE6VeMA5By0qt7Qyq7HV50212l90eGgecQRHZPefJHJJFGp1LG4WMboaLz7fzCATjWMg5Q+73e1+hGAc1b+fA6AK1d/A3OOSi8CcD/n/As+34/og3Z53iow1SCknw2gqZtZwLtYTyajGBqKGvmzcdHVMkNWRC6RiCCVslM4mFp3ELT7OOi0i8jpmFerszLSaT3GKzKjWI7Lo7o2M7IjcqpTcTutLyrdb1W0kLJxXWzfsH2w0uf9CrnPAjiZMfYggJNX/g7G2IGMsatWvuc4AH8N4KWMsbtXfp3q830JD7jRp1BITYpaM6aGuP1sAE086enHTMPUn42LDCe3bsh6APSTAmgSqVQUyaR6K/Nu+LuPzbqWQcBdO911Sue8aud2p3p9l5kxo9oVVLaQc+eL2ohc6ywXJ+qjZhz5fAXFYlV6jRxg17rYKSJn2rNKJl1TKzvBOc8BOKnF1x8DcOrKn28GYOfuJSDkcgVtbnnpdBL5vFOPYlI0wvlM+j3JNy+K1U/U1fTFTldE7v77Z4S/ruxCdRWY2H/Nb2oloZZsNo+hoSiSycazQMe8ciMczc/F5ojEIYeoG4tMR9vmub5unfwelipqgVXNl3qdd6ylT6eTuP/+nPRxAGo+Vzsjcq3dx1WKbBNQlwhOaKPTqZJsTDz9LharWFqqBColqx9jEJOFXK22b78pVWQyKakROZsxbb44VucUkbOJVveBjnm1vFxBqVRrGZFTPZZstoDh4SjicV/n6i3RYQ4iO4Vc1XyZny+hVmvvwKmyDouEXGuy2QLGx+OIRvd1H0+nk5iZKaJWU5NSrBsScgOAzk2kiYtDvwXZQ0NRxONm2tr2m2Jm4rUATioQ5+rNQdyTPNEtJlaf/tuIafOl3zkyMWG+0U9QMUXItXoG6BRyQXN5lJlCrkpAdRNPmUwSi4tllEpV7WMRgft8MrF0pB3t7p2Gw3hJw6jUQ0JuANC5iTRTyPVXk2CyrW0/9WSmXgugz64/nU6gVuOYnxf7AAhKRM6kh3y/cyQSCWFiYrCK4U2hnZBTPa8ac6eRqaIrdb6fVji9YpLLoyhUGVl0W19UCh8Vz8Px8QRCIWbVuthJyAGDk3VBQi7gcN45z1s2Jgo5PzUJpoqffvviLSyUUS7XJI2qf3QJORkPgGpVT5qoaEyb+37miGmidFAwJSLX6hmgy3hFpvgxyeVRFKrqn3qJyAFqxIKK52EoxKxze+wm5Gy6Fj+QkAs4i4tlVCp1EnJN+OnpZdpm1iVo7n0yeyt1QsZ8nZmxuxm4SzqdwOysOivzbvjZ3Ni2YQkKrdYpHfPKJLc7me68qsWpiuyfdDqpZL502yeo3NtkswWEQgzj43I/W9tMQtrtewbN0IqEXMDRFdlwmZhIgDGzbqhGaqV3AxgThZwTdS36cOE063oAnamV4j+TVmlcNuL+LFxhqhv/ETkzrmNQKJdrWFgor1mndMyrdnNHh4Om7CiWymeWqoicipYK3VMr1Qq5dDohvYWUic7EnaCInAMJuYCjK7Lh4tajmLRpamdZ2wsmCrmFhTKqVe9RV5MXuyClVuo+TBGFK0RNmS9+1jbbNixBoJ3JlI55lcu1jnCoTrktl2tYXCwHQsipSiFXlUmSzRYQj4cxNNTagVN1aqWK54eJ+5t25PMVFAqte+uZnG0kAxJyAadfh0aRmLY4ZLMFjI7GEIuFu3/zKjIZNWkdXuhXKJgu5JJJuTbWrZDxmQRHyLkPRzNqy7LZAlKp/uaIaWvSINBeyKmfV+0iHKrnhYrns6ros6oUclWRsG4OnKojcioyOmxaFztlugwNRRGLmekwLgMScgHHhE2kaYuDH/MXVWkdXujXvMW0CEszugx6RkZiiEZDQj+Tfl1STcM04e/3Pi4UqsjnK4JHRbSjU11a87+rGkurSK7qZ5WKjBlV16QqhVyV8O8WBYvFwhgZiSkUcvKfH+m0I/o5F9t+Rwad9rYmO4zLgIRcwCEhtxY/xeUmip9GUba3B6gr/Ey6Fhdddv2MsZWHmbhNgh+XVJMwTcj5OaV27/9BSb0xgfZ1aerXoU61NSozLlQ8n1WlEavaa6iaL708g1Sl4qpMraxU6lhcLEt/L7/04ipqSvaIbEjIBZxcrohwmGFsLK5tDCYKOT8n+e5rmEK/EZ9oNIyxsbiRm1ldQg4QP1+z2TxSqQiSSbVpoqIxTfiLuI8H5UFvAp0MRpr/XdVYOtXWqDJeUZVaOTdXQqUit82MqsyDxjNYbr+/XoWc7HFwzpUKOcCcNb4T3c1oBseZmIRcwHGjT+3yvFXgboxNCdcHTcj5ifiYutjJtOTuhnghZ38zcABIJqNIpSLSNy694udzNU2UDgLt0ghTKfXzKpdrbcqhen1XEcVqiFO9Lo+iSKWiSCQi2lMrATXPz37NzPrBJpOQbvse0wIIMiEhF3Cy2bz2TWQmk0SpVMPyshn1KLmcn9RKM4Vcv1FXUxc7neLHeTiL21SqKlRXgUnpKkE7kAk6nUymVM4rN8LR6hmgo4F28/vKQKXLIyA/hdxJf5croHp14MxkUkoEpfNeamrkmt/TZLLZPBhzWly1YpBazJCQCzgmRANM2jQVi1UsLVUCdZLvmj70E3U1UchVq3XMzZU0plaKfTibcA+KIpNJGTFfKpWarzli08lzUOgUZVc5r5aWKiiXa11sy9WIymy2gJGR/hyUe0XV8zebzWNoKKokhVz2Jn12tgjOu4snFc9PlULOpL1aN7LZAiYnkwiHW8uYdDqJmZkiajVzHMZlQUIu4PTTKFo0JhmE+K1JMC29DPAfmTDh59KMKhvrdribhHpdTCpwsIScGfPFTRPr93OdnLRnwxIUOt0HKlO8G+ZQ+lMr26V4ikS1Xb8KZBu49OrAmU4nsLhYRrksr/6w03wVjW1CrtNnkskkUa9zzM2VFI5KDyTkAo4Jm0iTFgcRBdmmbGZd/LlwmnUtgH6n1XQ6gVqNY35ezAPAhHtQFKbUVPqdI5FICOPjZhr9BJVO7SJUrkOdngGqMy5UlD6oi8ipW+dkz5de1xcVkX2Vz8OxsThCIWZM+nwnehFywGBkXZCQCzAq3Y46YZKQE5HHryIv3gv++mmlsLxcQaFgRv0ioF/IiXwAVCo1LCyUtd+DojBF+IuYI6ps2QmHTs8ilfOq09xJJqMYGooqy7hwDuHk1pS5r2+COYgoZNdUehVyJohKEYRC8usPRdFtvtlU7+cXEnIBxnU70t2/yiwh5z9NwZTNrEvQbNhVGAB0QuR8DUozcJdMJon5eflW5t0Qsbkx7T4OOt2EnKp51W19US0qZRshqRKnKp2G0+kEZmYK0uqfel1fVIiFbLaAaDSEkZGYtPdoRkVLBRH0GpEbhDWehFyAUdGjphfGxuIIh5kRN1RjY93/w9OkDSDn3FcdpImLnSkRORGfiftA1H2YIgpVVubdECXkTDrACDLdTKZUzqtuc0d1mqeq2qdgpVamwDmk1T/1mrmjKrVSZQupdNr8dbGXbDNKrSQCge4NsYsTrjdD/LhjmJz0k1ppxrUA/nvMmCzkdIkfVxSLeAD0WjRvC6bMFxFRW9FtJoj2dDtUVJkG1a1di6r1vVSqYnFRTdq17Odvuaw2hVx2LWOvDpyqInIq93Am7W/asbRUQaXSed9DqZVEIDBpE2lKuL5TL6NeMSW9DPAv1k3ZmDeTzRaU2Vi3QmxEzozDFFGY8nAUdR+bfvIcFHqJgjV/n0zcPqKhUOsIh6qIhPseKg6sZG/OVWf/yJ4vvYonFeY4JOTW0kuJzPBwFLFY2PhrEQEJuQCjO7LRjCmLg4hF0aS6Mr8/48YDUb/IdvFj3iKCkZEYotEQCbkWmCL8RdzH6XTSOKOfoGKSkOslJUvVONz3k40p5iCikJ021+v6Eo9HMDISk/7ZqhZyuVwBnItpvyODXuYbY2xgDutIyAUYU2rk3DHo3vwBjdNYP5gkfho/4/6irhMTCTCmf2PejG6nVcbEpQKbdJgiAlPqDkTYtpt0IBN0ejEYAdTMq26mHKoyLlQ+n02x6xeF7MwAL88g2S6Pqg820+kkKpU6FhfLyt7TK15cRU3a28iChFyA6VYLoBJTbiiRETlTrgfw109rYsIsu2GV7mftEHWSl80WMDISQzweETAq/ZiUWilOyJkz94NKt3VKdY1cbyYJ8u36m99PJul0Qqo4HdSInDsWWeOo17kyQxwXk/Y37ejdVdSsvY0sSMgFGHcxUuV21AlXyOkO1wdVyPnri2eGyHbRHZEDxH0mJlyLSBKJCIaHo9rni6jUSve1CLm4G912JlOJRGTFIl9NjVxvtuXy7foBNW1WZItT1dk/Q0Ny65+8CjlZ45ibK6Je5yTkVkERuX0hIRdgRKQRiiKTSaJW45ifl2MX3Csi0hRMWuhERF1NW+xMED+iHA111/vJwAQHWorI2UU2W8D4eBzRaHtzGhXrkBfbchV2/YBaISdLnKq8FqBR/yTjZ+TVgVPmeqijxlqka7Mset33yIyWmgQJuQBjwobYxQTx4/Yy8vuwMekk3xUKfqKuJgk51TbW7chkUsJSK3Vfi2h0z5dGTzJ/brwm3cdBp5f7QMW8Wlwso1Kpd8xgUPWsyuX8O6/2inuvyIrIiXCR9YosIwuv0UWZYkGHkDNhr9aNXrPN0ukkZmaK0hrHmwIJuQBj0ibShE2TqPSPWCyM0dGYEQudqMiECdcCNBoC65637sO5XveXCmxCvZ9odM8XUfexu5knsxP59CrkZJ+e97IxVvWsUvl8NsWuXySy6p+8iqdMJomFhTLKZfH1hyTkWtPrfMtkkqjXubTG8aZAQi7AmCTkTFgc3A2biM9E92bWRYRQMKV+EeitP4wKRKUCm3QPikJ3uoqozU00GsbYWNyI+zjomBKR603IqRH4Kg955DfQVr/OyVqHvK4vMlMRdQi5sbE4wmFm9AGXFyEHmJ0mKgIScgGFc8ftyJRogAlCTqQVvClCTlTNX6lUw/Ky/n5aOh5crRCx8WmkAJpxD4pC99wXOUcGxdVMN71svFTUXvbSrsXtDRakiJxJdv2ikDVf+onIAcERcqEQw+Sk2etir/PNhEwwFZCQCygLC2VUq3VjNpFmCDlx0R7dm1mX4Lpw6o/IAf4ezib1cRRJOi0vlagXRG5udEcXB4VeI3Ky55VJbncqjZBct1kT7PpFkck49U9+099X05gjvdXgynx+ZrMFJBIRpFJR4a/dCWf+6++T2w5nvnX/+Zi0t5EJCbmAYkpkw2VkJIZoNGRIaqU/kwTADOc+UVHXRiG8/sXOlHkr4gFgyrWIRne6itiInP77OOjk8xUUCtWu65SKedVrVoaKjaxq8SNTnOqoBU6n3fonsSmAXjN3ZEZ9ejX1EE0mkzJ2XXR661FqZTMk5AKKyDRCEci0C+4V973b9TLygu5rAcRFXWXXT3jBlHkr4uEcdCGna75kswUwBkxMiLmPg/6Q102vkWlVQq5X23KZ81uUg7IXZF1ToVDB8rL6FHJZ61A2W8DYWOdWGa3GIaOmTFeNdTqdMLZGbn6+hFqtt956lFpJWE0vtQCq0S1+RFokZzJJLC9XUCxWBYysP0QJBd0b82ay2QJGRmKIxyNax0Gple3RfcqZzRYwMZFAJOL/8aV7TRoEvKQzNn+/rLH0EuGQPS90rA2yos8iTcS8IEtAeRVPMg9CdQk5k9dFL/ue4WG5jeNNgYRcQDExGqD79Fvkoqh7MwuIi16ZJORyuaIRc1ZEKrCJ96AIdM8XkfdxOp3E0lIFpZK+A5mg0+t9oOL03EtKltxxqBc/sq5J1zonS0B5XV/icaf+MIhCzgQn69V4mW9uJpip0UVRkJALKCZuInWf8uRy4vL4dW9mAXFR1/HxBEIhZoSQy2bzRsxZxpjvE2yRqbwmoTtdRc6BTLAf9DoxLSLXyzNAtsDX8Xw2xa5fFI35IraWsZ/1ReZnq0vIVat1LC6Wlb93N7y3hzDbgVMEJOQCSi5XQCQSwuhoTPdQ9qJbyMnYAOq+nuax9EsoxIxZ7JyNlhnCx+9JntdaC1vQXVMpNiJnTn1oUOk9Iif/Z9Hr3JEt8F3xoXKtk+UKqi8iJyu10vthooy9TbVax+ysngwV3Yd1nfDqPq5736kCEnIBxd0Qq3Y76oRrF1yr1bW8f1CFXJD64vVqK6wCv5+JrtNU2ajqs9WOoKVIB51ezWnceSUzOupVyMl0eXTeR91aJ2uui2zr4wVZTtj9rC8y6g9nZvRlVZmwv2mH14MD3SU9KiAhF1BM3ERmMqkVu+CSlvcX2bfHhIWuVwe2XjDFbtikeevXgtykaxGNrroDznngDmSCTjZbwORkEuFw9+2GzAMlt12LCULOvXdURuRkRVnca5mcVLvWNeqfxF1PPl9BPl81IrVSZ3mMyQdc2WwB8XgYQ0O99dYz5ZBaJiTkAoqJm0idmybRds/uQ0t3jZyoHjMmLHalkvMzMmXeiqiRM+VaRONX5PZLPu84xYo0OwFIyMnES7q0k+ItZ155adciq/7KRUfatUy7flEusl4RHQnr101UxvNTp5AzeV3s1XnWJZ3WmwmmAhJyAUWksYcodAo50XbPkUgIExN668pERyZ0L9q6bKzb4aYC1+v9OXcFWcjpqqkUvblp1NmYt2EJCl7uA5nrUCMVXX9ETkctsLzUSn3rnOj50u/6kk6Lrz80ISKne0/Qil4Ni1wymaTWTDAVkJALKCZuIvUKOfEiQbf48bqgdcIEu2HTnFYzmSRqNY75+f4eACbeg6LQlYorurYoFgtrrfcbBLyktMucV17WF9dpVuZY9Lk8BkfIOY2r9Qs59/tnZsSlm+t8Ho6NxREOm+FkvRqv883kNFFRkJALIKLrSEShU8iJNAZx0S3kRNf8Vat1LCzosxuW8TPygx8XvXy+gkJBXAqgaeia+zI2N4PQZ0gnXiNysp0iexlLNBrG2Fhc2lhErt29IitdTm9ETqzw7z8i5z4rxKXieokgi8ZxsjZzXfQ630xOExUFCbkAMj9fQq3GDU6tVF9bI8NZS7eQC5rpgy73s3b4OckTncprGpmMnkbasoScjjVpEPB6qJjJJLG4WJYyr7xmZchO81S9NsiKPutOrfST/r6a/iNyqX3+v6ixDA9HkUhEhL2mF2TWq/qh34gcCTnCKkyrNXJJpaJIJiOBSMlyXkufkHMd2ILU4FyHJXcn/HwmOk9TVdAQuWpPbGUIOVN6KAaR5eUKSqVazz8vN7IhY155vSdlCzkda4Poa9Kd/ZNOJ3ylv6+m11YZq5GxHuqaIy6mOFk3009vPUqt7AJjbJIxdi1j7MGV3ydafE+CMXY7Y+y3jLHfMcY+6ec9ie6YVmvUjC7x07BIFp9aqaOuzIsDWy/ojJa6mJZaKULImXgPikBXI22RLTdcMpmUkSlEQaCfnk/N/0/0WCKREEZHYz2PRcY4isUqlpf1uPPKsOsvFqva1mzR88VLq4xmZKyHustjTEw5n50tgnNvz1VKrezOBQCu55xvAnD9yt9XUwLwUs75YQAOB/AKxtgxPt+X6IBpKWrN6KytGR2NIRYTZ/ecySRRLFaRz1eEvWaviBYKpkTkVFtyd8KPo2HQhZyu+eKeUodC/ltuuFBETh5eo+yyhZwX23JZKbc6067luTzqyaIQ7Trbr3iS4X6rW8iZuC7281wdHo4iFgsbdy0i8SvkTgdwycqfLwFwxupv4A5LK3+NrvzSZ403ADSajZq3idQp5EQvikEybzFByPXarFcVIyMxRKMhisi1QFcEV9Z9vLgo1jqccOg3IicjDcqrwYisZ5XOtUF03zXd65yMiFw/15JIRDA8HA1cRE63k/Vq+plvjcbxZkUXReJXyO3POX8cAFZ+36/VNzHGwoyxuwE8AeBazvlt7V6QMbaFMXYnY+zOPXv2+BzeYKJ7ce2EvtTKYAm5xqmumJNQP6JFFLofXKtxHwD9Crl+ai1swZ13OmrkZN3HQa6h0IXXAycZphHNY/Eq5PL5KgoFsRkXOutn5UXk9Ao53RE5QI5I1i3kdDtZr8aPq+hAR+QYY9cxxu5r8ev0Xt+Ec17jnB8O4CAARzPGnt3he7dzzo/inB+1bt26Xt+CaMJrLYBKdEbkRD84deZei36A+hEtonB+RmYJn34fztlsARMTCUQiwfST0lkjF6T7OOh4TSOU2b/N6/oiy9BHp/gR7TarW8iJvnf9iCeR9Yflcg2Li2XtQg4w64Crf1dRvXsb2XTdZXDOX8Y5f3aLX1cC+Atj7AAAWPn9iS6vNQfgfwC8wv/QiXZ4rQVQSSaTxNxcCZWK2jQmSq3sju7FLpvNGxWRA/ov+NbRJ0ol0WgYo6PqG2lTRM4ustkCQiGG8fHe1qlYTN68cuZO7xkMsgS+7ho5ZwxixKluITc6GkMkIiaTxK8Dp8jnpwnta0w84Oo3mi3a5Mc0/B4X/wjAOSt/PgfAlau/gTG2jjE2vvLnJICXAXjA5/sSHcjlzItsuLgL08yM2pSsIKZWinfv05tHrjuVpBX9Gh6YeC2iUS38ZVmdm7hhCQpuFMyLOY2MeeW0azGj/5T7eiIdlHtF9DXlcq5QF/cc8gJjDOl0Qshza2mpgnK591YZqxGZWqlbIDe/t0nrYi5XQCoVQSoV9fT/RKe9moZfIfdZACczxh4EcPLK38EYO5AxdtXK9xwA4EbG2D0A7oBTI/cTn+9LdMDkTaSOxaFYrGJpqSI8JWt8PI5QiGk56ZERdZXl0tYL+XwF+XxVm/tZO/ykVppoNiQS1UJOdMsNF1kpdER/zyIZ82p+voRajRsj5HS584pOiXbs+hOe7fpFImq++HX7FnkQapKQMymS1e/eNpMR2zjeNHy1jOec5wCc1OLrjwE4deXP9wA4ws/7EN7IZgs49NBJ3cNoicxi9nbISlMIh0OYnNRTRCsrMqHr1MqEVJJWND8AvEQVstkCjjxyf4kj008mk8Rf/qJO+Mva3Oiq9xsEvKYzAnLmVT+p6LKcWXUetIq+JhMOjUWlzfldXzKZJObnnbIRvyLdBCFnYqZCP+sJ4HyO9TrH3FwRk5Nm7TFEEMxK/AGn38muAh0ROfeUTMaiGCTzFvdEUceplcyfkR8ymSRqNY75+VLP/0dWCqBpqJ77sjY38bh463DCoZ/7QMaBUj9zZ2IiAcZk1Mjpa7Mi2m3WhHVO1Hzxu764hwQiPtvGWPTt48bG4giHmVHrop+InPv/gwgJuYDh1gKYWiOn4/RbhjGIS9DaKbinVqqR+TPyQz8PgOXlCkql/mstbEF1BNdv6lMngl4MrwtTUiv72aRHIiFMTIjPuNApfmSkVupe58SlVvqPyAFiUhFNeB6GQgzptFn91/qdbyZGF0VCQi5g9FMLoBIdN5TsDWBQUitNcOE0bd42Tll7/0xMvRbRZDJJLC9XhPfZaofMzzXoxfA6cCPTXjejMuZVv6nbckRlXtsGPRoNY2wsHigh54gN/42r/Qs5cWUjOusom3H6r+mpm2+F34icSaJUJCTkAobpm8hEQn0ak8w0BR1Czom6FqWkVgK6hJw8se2Hfj4T0+9BUah+OMr8XCkiJ55+zWlkzKt+nwEyIhK6xY+o5simpJD3k/7eimzWnxO0yGinCZ8r4NwvphxwVSo1zM+XfKZWmiNKRUJCLmD022dDJarFj/sglmH37F6L39NAL8h279MZkTOtEJmEXHtUu5plswVEoyGMjMSEv7auyHqQ8RMFa/7/InDnzvCwN9ty0fOiUNDvzivqmhYXy6hUxD+HvCJK+Pt1ghadWqn7cwXMWhf91NFTaiVhFaa6/zWj2uY+my1gdDSGWEx8mkImk0SlUsfiYln4a7dDllDQLeQmJhKIRMxakvp5ANhwD4pA9XyR0XLDxbRakCDQ7zolY9PV79wRvZE1wdRJtMuj7kNjUZEwv+JJ5Lw1SciZsi76ydoZHo4iFguTkCPswIZogA63O1mfhw7xI6sQWqeQ0+nk1omRkRii0RDVyLVA9Smn7PvYtQ4nxNBvOqOMdchPbY3IjAsTTCxMMQcRRaM2zd/hsN/1JZGIYGhITNlINpvX/rkCjTRclRlH7fAz3xhjRolS0ZCQCximLK6dUJ13LcPh0UVPOwU5NX+pVBSJRCQw5i0icB8AXlMrQyGG8XGzHDhFoysiJwOR1uGEQ7/PIhnzqt+DokwmiWKxinxejPGKCc9nU+z6RSHq3hWxvoiMdur+XAHneqrVOhYW1GUctUNEewiKyBFWkMsVEYnIqSMRheqTEcc5TZaQU9/gXNYDtB/RIop+3O1U4XXjk80WMDmZ8NRA3EbcmtMgCDnV9X6DQL/rlIx55ThF6u8/ZULatShXUFOEnKifkbO++DscFSGS83m3jtIMIQeYsS6KaA9BQo6wApl1JKLIZJJYXCyjVKoqeT9KreydILVTEIXXgweTr0Uk0WgY4+NxpWYn8u5j9QcyQSebLSASCWF01Nuhoox55de2XKRdf/Pr6kCkOUjz6+nCbVztZ77U61xI5o6I56cJYt/FJJMQvzWZQXYmJiEXMGzYRKq2LQ9iaqUfm+RO6GqnYPK89WrOY/K1iEbVfKnV6piZkVdH2U+/QKIzfg4VRfb1czbp/adWAuKeVSa484qKsvi16xcFY8z3fBHVf1dEtpEpArl5DKYIOT+mdUHuFUpCLmDYsIlUuTgUi1UsLVWkpVaOjsYQiYS0mLfIiLrqEHL5fAXFohmpJK3op0bO1GsRjaqH49xcCfU6l2bbbtKGJSj4SZcWuQ7NzRVX5o5+2/JstoDx8bhWd15Rc909IDUh+8fvfBElnkTUYZGQa43f52omk8TMjLMWBA0ScgEjlzO31shF5eIgO01BR12Z7FRR1Yt2v+52qkinvT0ABknIqZovsjc3JqUQBQU/94HIeeXH8l9GjZzutUHUXDdpnXPah+gXciLcb00UciZkKogQcvU6x9xc8AytSMgFDBEFu7JpPBzl95JTsSiqdkNyxLo8ITc7W0S1Wpfy+q0wobdSJzKZJGo1jvn5Utfv5VxMrYUtBEXIudbhJmxYgoKf+0DkvPJTWzM+HkcoxIQ9q0wQP2LNQcxY50yJyLn/f2amf7FgkpBz6w9NOODyO9+CfFhHQi5AiCrYlY3aiJyzoMqMUgYtIgcAMzPBMG8RgZf5urhYRqVSN/4eFIWqAnIVm5sgu5rpwM+hosh55WfuhMMhTE6KO6iT6aDcK64rqIgaOVPWOb+1aX6aTTcjQixkswUwBkxM6H8eiqg/FIWIiJz7OkGDhFyAEFWwKxuVtuWiFuhOeDXD8EtQXThNnbeuwOzlM/HrrGUbmUwS+by4PlvtUBNZD27DWNX4PVRMp8XNK7/PANHRQd3rnOsKaoJdvyj8Nq4WHZHzm+Y5OZlEOGzG9twUt0dRQi6Ia7wZM4UQgnuzmRrZcBH1IOkFFfVXmUxK2eLgpO4VpaZWAiTkmvHycDb9WkTjzkPZD3p1BzL6NyxBwO+hosjaHL+p22Lr9fQLOcD/NZmW/ZPJ+Gtcnc0WEI+HMTQU9T0O9/X6xQSx34wJEblCoYLlZX+mdY0DWXWH7qogIRcgbNpEqto0qUqtzOUKStyQFhbKqFblpe7pOLXKZvPGpJK0wsvD2aZ7UASqhH82W0AyGUEq5W+j1QnVta5Bxu99IHJe+d2ki7CUB8xq9GyKXb8o/B4oiXKCFpVaadJhvAkHXCLq6IPcK5SEXICwaROp0iRhdDSGaLS/3iO94MUMwy+yf8a6InImpZKsxsvD2aZ7UAQqhZzsz9SUFKIgYJqQS6f736SLikg0Mmb0rw2mmIOIwu98EbW+NPpR+jM7MeVzBcQdZPhBxHwbHo4iFgtrvxYZmLlzIvrCpAdFN1QKORUbQPe9ZCPbGESHs1O/zXpVMTISQzQaotTKFqiK4Kq6j+fmSkodW4OKKCEnYl6JqK3xU3/VPA739XTj99DCNIMqv6m4otaXZDKKoaGor/Q9E4WciPnvBxH3jo5WUaogIRcgTHpQdENdamWwhFyjL56cmj/Xhl21eYspG4JWeHkAZLMFhMMMY2NxBSPTj6pWIio2N+4hhkrH1qDizod+72uR9SwihFy5XMPSkj/jFZParAQtIuf3AFLk+uInRZtzbpyQS6cTvuoPRSBqvgU1fZ6EXIDIZguIRkMYGYnpHkpXVEbkZEcodUTkgmT6YNqDqxVehJyIWgtbcOsag5Ja6b4X4Y+GaOnvwGlyUtzPwu9hnqjDCpPEj1+3WRXmQ17we++KzArxY362tFRBuVwz5nMFzFgXRc23oKbPk5ALEDZtIjOZJAoFNbbl6jaA6hqcU188tfRqTW+Sk5sKIpEQJibkn3KqjMiRkPNPNltALBbG8HB/BiMi55XfiL+ojazfKKVIRJiDAHLdoL0wNuY0bu9HQNVqdczMiFtf/Dw/TRPIgFgH2X5xP0/3gKdfKLWSMB6ZtvSiUeUgFMTUStmpeyoXOxNTSVrhfCbdhboN1yIa2fOlUqlhbq6k7D4OYjG8akQcKoqYV84m3V+0RZyQE7MZFYEIcxA/Ql00oRDrO21udrYIzsWJJz/pe34j2TIw4YArmy1gYiKBSMSfZDGhlYIMSMgFCJs2kSrET7FYxdKSv94jvTA0FEU8HlZq3iIz6qpSyJmYStIKL6mVthymiEK2q9nMjJraIhNSiIKCiGeRiHk1N1dCvc59bYxFzYtcrihkMyoCv4cWJmb/9Js2Jzq66Cd9z6T0WxcT1kVRe9tMJomZmaKSVlEq0b+iEMLIZvNGLQCdULE4NIxB5H4mKt2QVKWKqlq0TUwlaYWbWtntAWDTYYooZM8XVZubhnU4CTm/iLgPRBgTiHgGiIrUmrQ2mFRTJop+oy2i1xfX/bZSqWkfiwhMSa0UJeTqdY65uWBlXZCQCxAmPSi6oULIqVwUVbpwqjBvWVgoo1z2/iDyiompJK1wHwCdegXW63zgauQA+U5gqupxkskoUqkIReQEICoiJyqd0c9YxsbiCIeZkLGYUB8H+HcFNXGv0e98Eb1PaLjfehcLJgo5UfPfD6LmmwlpojIgIRcQ6nWOmRmbauRUROSchVTFwzNoETlAzQmcaf2I2tHLfJ2fL6FW40Y9hFXgzn1ZfYZUbm6CWkOhGpFCzs+8ErG+MMaEzAuTxI9fV1CTrsXFyZrQL+T8PD9NbF8jav77QWREzn29IEFCLiDYtokcH3dcpmQ6PapM2wuikAtKOwUR9PKZ2HItoslkkigW5TnQqo6sU2qlP1wXQL+HMyLmlai506vZUSdMita7rqB+a+RMol/hL/ow0c/z062xDoXMqT0E9Lo9ijREC6qhFQm5gGDbJjIclm9brtIiWcVCxzlX4kxKQm4tvdRP2XItonHvL1kPR5VR26DaU6uk4QLob90VMa/ECrngROSA/q9JtF2/KNLpBCqVuufG7dlsAUNDUSSTYhw4/aTvmepzoPOAK5+voFQSY4jmN6XYVEjIBQT3JjM9Ra0Z2ZsmlamV6XQSs7NFVKt1ae+xsFBGtVoPXEQuFGIYHzd73vbymagy1zEN2fMlmy1gZCSGeDwi5fWb6bVfINGeRt2rf7MTwN+8yuUKSCQiSKX8bdL9Pqvy+QoKhapRpQ/9XpNou35RNNYhb5t00QLbT9THNLHvojO1UuQBqaq2V6ohIRcQbIwGqHC7Gx2NIRoNS3sPl0wmCc6dh5wsVP2MVS52rgGAaakkq+nlM7HxHhSBCiGn6jOliJx/REbBml+v37Gk0wnfNvl+54WJa0O/JkUmXgvQ/3NL9Pri5wDCVCGnc10UOd+Gh6OIxcKBO6wjIRcQTF1cO6FCyKncALrvKQtVKWYiTsJ7xaS6kU4MD0cRjYZ6EnImnbqrQPZ8UTlH0umE9Mh60DFNyImqrcnlin0br5gYrffr8mjaOtdIf/e2SXfr0kTRcL/1nr5nspDzM//9IHJv6xi3yC3p0QEJuYCgsh5MFPJTK4Ml5BqbAbk/42g0jLGxuMKInHkPrtW4vQK71chFoyGMjMQUjkw/QYvIAXIj60EniEIunU6iWq1jYaHc9zgA84ScCS6Pouh3vshYX1zh4wWRph6iSacTvua/H2S4ipKQI4wkl3M2kcPDYgp2VaDCtlyVSFBh2a/avS8oLpyi6PaZuNfiN43LNiYmEmBM3txXK+SCWUOhElFuwSLmlajG1X5FpYlRrEwmiULBuyuoqULO/Wy9zhcZ60s/NWUmO4/rtO2XIeSC5kxMQi4g2LiJzGSSqFTqWFyUc8pDqZX9Q0JuLd0ezjZdi0jC4RAmJ+XNF5Wfay/upERnstkCkkn/BiMinI1F25b7FXImrQ9+asqc/2/OtQDNLY16v55KpYb5+ZKUiFxQPldAbW/Z1Yg2RKOIHGEsNm4ig5SS5cdyuFdyOXXNQlW1U7Bp3vaSWmnLtYhG1nwplapYXCwH6kAm6Ii8D/zMq0Y/O5FCrj/b8lyuAMacKKMp9FvbKkqoi8Y5UPIm/EU5rK6mn6iP2UJOX6aCaEM03c3NZUBCLiDYuImUecpTLFaxvFxRlsqSSrkFzvLNW1REXZ0NlNxeK6raKYii19TKQURWAbmsjVY7VBzIBB2RKe1+hJxIm3wREbmJiQQiEXO2XCbVlInCaR/S+/WISgNuNY4gReRUGqCtRvR8y2SSmJkpol5Xb9wiC3NWFcIXuZwdphHNyDz91uESFjQXTtkWvSY/uFrhfibtHgAmb3BkI2vuq54jOlOIgoKoujTA37wSOXdECDnTns/9znWT1zmv80XW+pLJJDE3V/Lkfmvy81B3jZxIg7dMJol6nWNuLjiGViTkAoLJi2s7ZC4OOhbFTCYlPbVSpXnL8nIFhYK3QngvNJrY2zFv02nnATA/X1rzb7VaHbOz4jawtiGrgFz1fZxKRZFMyo2sBx3RqZX9ziuR0dyRkRii0VDfh1smPp/7ff6a3DImnU54+hnJFHIAMDPTj6g0z3l8bCyOcJhpq5ET+fMJYtYFCbkAUK9zoaegqpAbkVObkuW+V5AicoD3njxeMPkEshWd5uvcXAn1OjfyIawCWQ60slKfOuGkZwXntFY1ItcpN0Wtn3kl0inSbT/S7/pu4vPZdQUNUmqlKRG5fsRCNltALBY20nnc6b+mp7ZMRmql+7pBgYRcAJibK65sIs1cXNvhnvLIicg5G0AVDo8uQRJyKk6tgiTkVDqKmkgmk0SpVMPystgIrp7IevCK4VVRrYqNTPuZV6Lnjp+NrInip19XUBOvxcXrgZKsthD9HISa7jyuY12UYYim4pBaNSTkAoA7IW1JUXPxe8rZCR1pCjIXOs6dqKvqvngk5Bp0Kvi27VpEI0v4u683OakyIpegGrk+cVPJRAo5oL95JTqa2+/67m5GTTzk8XpNlUoNc3Pi7fpFkU4nUS73Lvyz2QJGR2OIxcJCx9HPvDVZIAN6+q/JMERrPMflmrmphIRcALB5EylL/DTErdqI3Px8CZVKTfhrq3Z4VCXkVLVTEEEncwCb70ERyJovOtz+KCLXP6LvA39CTqxNfr9Ovvl8BcVi1ci1wevmfGZGfcmCF7zOF1niqR+XRxuEnOp1UcZzVWcrBVmQkAsANm8iZUbkRkdjiEbFnrR1QmbIXpd7n8xTK9NTSVbT6QFg8z0oAllujzo2NyTk+keWkOtnXomuS+t3XjTqtc2rnzWlpkwUbmZAr/NFnpDzPm9Njdq66KiRkzHfhoejiMXClFrpwhibZIxdyxh7cOX3iQ7fG2aM/YYx9hM/70mspeH+Z+4i0A6ZQk7HBtB5b/HiR3UNVr+F8F4w/QRyNcPDUUSjoTZCTr0ph0nIjMip/kzT6SRmZ4uo1Xq3DiccRNcc+UnZFW3570SvvPefMln89C/kzBOlgDkRuX76ypr+PHTnv2hDq040vA7EfS6OcYucvqe68BuRuwDA9ZzzTQCuX/l7O84HcL/P9yNaYPri2glZlv06LJLlunCq/RlHIv0VwnvBtt6Hbk1nu9TKREJcGpdtBEnIZTJJcO40lCa8YVpqpeiIXLv2I93GAZh50OrVFdTkawHMEXKAtwhWrVbHzIz5Qq5arWNhoazsPWW2hyAh1+B0AJes/PkSAGe0+ibG2EEAXgXg6z7fj2iByba13XA3xl5PObsh+jS2F2QKuSC695l+AtmKdp+Jm8ZlS5qoaMbHEwiFxDvQ6orIAcFyNVOF6Nrk8fF43/PKFNty0yNypVIN+Xzv5iDu/zMRd971eu/KXF+81B/OzhbBudmH8f3U/flFppALkqGVXyG3P+f8cQBY+X2/Nt/3RQB/D4ByVSRgW61RM5lMErWa91PObujcAMoUctROQS/tPhMbr0UkoRDD5KT4CK7eFOngPOhVkc3mMTQURTIp5lAxHA71Pa9EZ2X0u743sinMWx/6iWAB5jpkN0oCupc3FAoVLC9XpIknL89P0wUyoGddzGYLiERCGB2NCX1dXT3xZNFVyDHGrmOM3dfi1+m9vAFj7DQAT3DO7+rx+7cwxu5kjN25Z8+eXv7LwOOkqJmZ6tCNIKVkyTyxyuXUOzzKFHJOE3v7xI/TLLq1kLP1HhSF6FPOfL6CQkG92x8Juf6Rse72M6/cfnYi70k/ETnGHJFhGv0IueHhKBKJiMxh9Y3bG6+XiFzDhEZ/aqUdQs4RvCojWbKCFAOXWsk5fxnn/Nktfl0J4C+MsQMAYOX3J1q8xHEAXsMY2wngcgAvZYx9u8P7beecH8U5P2rdunV9XdSgYXM0QMamqVisYnm5ovzUMB6PYGQkJtW8RWXUVeZiNz9fQq1mXxN7isi1R/R80bW5aaRnBedBrwoZ90E/p+eNVDUZqZXezKyyWaeFRjhsnkm41yijDetcr+uQ7PXFNQfpBdmiUgS6InIyPpNMJomZGe/GRabid2X5EYBzVv58DoArV38D5/wjnPODOOcbAbwZwA2c87/y+b5EEzYsru2QsTjoTGUJmgunl0J4L9hwAtmKds51Nt+DogiKkKOIXP/Iisj1X5cmLm3OT0TO1LXBe0Qub+y1uJgk5GZni6hWu1cU2fA81FUjJ6s9RL3OMTcXjDpov0LuswBOZow9CODklb+DMXYgY+wqv4MjesPkB0U3ZFj261wUZRXR6nB4dAvhl5d7K4T3QqNlhl3zttUDwE3jsvUeFIXougNd93EqFUU8HqaIXB+YJ+TEjWVoyJkX/dTImbo2uOMywRxEFO3S31cje31xhc/MTC9jMb99zdhYHOEw05JaKZqgHdb5EnKc8xzn/CTO+aaV32dWvv4Y5/zUFt//P5zz0/y8J7Ev9TrHzEzRug2xi5yInL40haBF5Nz3Fo0NJ5CtaLXxcR/Utl2LaERHcHXNEbfNRFAe8iqRKeS8zCsZWRn9zguTxU/DFbS3g1THnddcZ0XAS0ROrnhq1JR1F8nZbAHJpNnta3Ssi7KFXFCcic1L2iY8MTfnpHmZ+qDoRr+nnJ1oNJFUX1weLCGX2vveorFdyDV/JjLSuGwkk0miUqljaUlMBFd3ZJ2EnDfK5RoWFsrCDxX7mVeyXH691D01j8XUg1avrqAmi1KXdDrRU+Nq2SY0XlIRbfhcAbVuj05vPTmZLhSRI4zC1g2xi4xTHp0baxkbQM45cjn1UVeKyK2l1cPZ1msRjeg06Ww2j1CIYXxc/YGMk54VjNNaVciqTW7cc73PK1k2+V7Xd8658Zv0XjfnpVIVi4tlo68FcH5GxWK1a28814QmEpGzDfby/DR9jrioPOCamytJC1L0s6aYDAk5y2k0YDV/EWiH6MVBdFNaL2QySSwtVVAsVoW95sJCGdVqPXCpldFoCCMjYvvDyKaRktH4TGxwHFOB6PnitnQIhdT3x6SInHdkCbl+MgOy2QJSKfGpal4jEvl8BaVSzei1ode5bss61+t8kS2eWj0rdI1FFLI8AFoh84DUS9qrDZCQs5wgRANkRORGR2OIRsPCXrNXvCzevRJE9z4d7RRE0GqTEIR7UAT9Nkxuh87NjZOeRULOC7Lug37WIVkGI16fVTasDb2mi9pwLUBz+5DO1yR7ffGyHtok5FQdcMmcb8PDUcRiYkt6dEJCznJscDvqhgy3O12fhwzxI6veoxsyXapMrhvpRKsHgK6fj2nIiMjpqjvMZJw+Q7Vad+twwsEkISdrfXHmRaHneSErxVMkptj1i6LX+SJ7n5BKRZFMRgIl5NyUcxktiVYjc74xxpBO914bajok5CzHlsW1EzIickESco2UJbWb2lCISStuNtmSuxPuA6BZ3GazeaRSESST5jqOqUC0E5je+zi10maipOX9bUS2kPMyr2S63XHuNBzvdRzu/zOVXl1BbTk0dkVztwNIFetLL6mIlUoNc3Ml4z9XwLmearWOhYWy9PeSfe8EKX2ehJzl5HJFxGJhDA3Zu4nMZHpvnNkLOnquuciMyAXJvc+WE8hWrP5MbL4WkbgR3KCkVgJiU6SDjqzo09iYa5HvLSJngtudDXVl6XQC5XKtqyuoDdFFoLefkSoTml4OQmdmzJ8jLirdHuW3h1BX7ycbEnKWY2utUTNeTzm7EbSInM7UPRJya2kt5Aa79QAgNoKr2+0vaPbUKnBrk2MxsbXJzrzylgYlW8h5aaDd/P9MpNe6bltSyCcmEmCs8/UsL6sxoeml/tCGOeLipaWCX7LZAhIJeb31VLZSkA0JOQ9MT+/Axo3bEQpdiI0bt2N6eofuIVm9IXaRU1uj5zOZnJSTWhkOM4yNxYW9Zq/IWOxk9odRwerPJAj3oCicDbd/S+fFxTIqFfVOrS6N9KxguJqpQOZ94Bye9DavqtW6tFQ1r8+qbDYPxpzG26bixeVxbCyuxUTMC5FICOPjnYW/KvHUy0FoYyzmHwY23B7lCyCn+by8IAWlVg4g09M7sGXLNdi1awGcA7t2LWDLlmu0i7kgbCJFCrlisYrl5Yq2zyQSCWFiQmwRrc6oq4zFTmZ/GBWsTskIwj0ogunpHXj44Xl8//sP+j7o0n1K3ViTgtFnSAUyDYwymVTP69DMjLwUQK/OrNlsAZOTSYTD5m61TDEHEUm355Yq8dRLJFn3WucFtamV8ttDzMwUUa/LN26Rjbmri2Fs3Xoz8vl9e4Pl81Vs3XqzphE5OPVgZqc6dEPk4uBusHXm8QfNvKWXQngv2PTgaoWbLuM+ANyTw0HGPegqlWoA/B906Z4jlFrpHZkGRl7WVJlzx6vAt2FtCKKQcwyp2kfTVUbk5uY61//rXuu8ECQhl04nVwyt7M+6ICHXI7t3L3j6uipsWlzb0WuOfi+YsCiKFnK6zVtEu1SZILb9kMk0HgCVSg3z83Y4jslE9EGX7vt4aMhpM0Gplb0j81nUbWO+ehyAnLnjxVLeHYvpa0OvdU82XItL7xE5+UKuW/2/LbWHADA6GkMkEgqEkAvSYR0JuR5Zv3605dfj8TB27ZpXPBoH22uNXEQ2EjbBJUx0fxLdETl3DKLQvUn3S3P9lDvfbHgIy0T0QZfuOcIYC1QNhQrk18j1lhkg+xngNTpo+towPp5AKNS9X6htQq7T9ahaX3rZ22SzBYyMxBCPR6SORQSt2u/IQpWQC8JhHQm5Htm27XikUvveaNFoCPU6x7Oe9U3867/epbx5bKPWyPwi2U6kUlGkUr2fcnbCTXnR+fAMWmqlOwZR6N6k+6X5M7Glt5Js2h10DQ1FsbTkPZprwhxRtWEJAsViFUtL8mqTvWQGmNR/ygbx06srqE29P7uZdGWzagzEesk2smGONKPigKtarWN2Vm6QQqUDp2xIyPXI1NRmbN9+CjZsGAVjwIYNo7j44lfgwQffjhNPPAh/93c34oUv/A7uvXePsjE1UtTMPvHrxvT0DpRKNXz+83cKNEnQJ25F1pVxzpHLFQ3oiyfO9MGETbof9hVy+uebCbQ66IpEQlhaquDww7+FX/3qT55eL5stIBoNYWQkJnKYnqCIXO+4zyKZ4gnobdPVSFWT2X+q+ym+s3bbsUnvNtfz+Qry+aoV1wI411MoVJHPt+6N5xrzhEJyDcR6mbfZbN6azxVQY9vvGhapSa2039CKhJwHpqY2Y+fOLajXP4SdO7dgamoz1q8fxU9+8jp85zuvwsMPz+PIIy/Fxz52M4rFavcX9IntG2KgYZJQqzmix69JggmpbplMEsVi+4eIFxYWyqhW9dmwy4rIxeP2NrFvbhYdhHtQBK0Our75zVfgF794M2q1Ol70osvx//1/N6FcrvX0ejqdWl1IyPWOiihY8/t0HkseQ0NRJBJyUtV6nReqepWJoNvmXLZQF00j/b31NakST72mVtryuQJqGmmreK42WilQaiUBJ2/4LW85FPfffy7OOuuZ+PSnb8Xhh38LN930qNT3DcImUoZJwuhoTGuvG5ELhO6fsSwhp3uT7ofmvku6fz4m0eqg60UvOgj33PNWnHvus/GZz9yGF7xgGvfd1z1rwYTNTTotf8MSFGTfB9025qvHIvsk34TIoEhMMQcRRbfnlqr1hVIr+0PFfBsedgytgnBYR0JOIJlMCpdcciquvvoNKJWqOOGEy/Hud1+L+fmSlPez3f0PkGOSoHtRlNNOQU+EcWQkhmhUrEuVzH5TKmh+ANjkOKaLkZEYvv71l+PKK8/AY48t4XnP+zY+//k7OvbvMeU+bm4zQbRHRTpj8/t0QrblfzqdxOxsZ0t5wC7xY4o5iCi6GVmoWl96cTm17XnoRm9FtiRajYr55hq3kJAjWnLKKRtx331vxQc+8Dxs334PNm++GFde+ZDw97FtcW1FJzfQ3/0u6/n1TNkAumPxi+4aLBnufbbUjbSj+QFgk+OYbl7zmoNx331vxamnPhUf+tD/4qUv/S527mzt+GtC3YjbZ0jWQVyQMCu1Uu7G2B2LW8fTDpvSEbvVddu21+hmZKFyn9ApbVW2SZAMMpkkajW566LK9hBByLogISeJoaEYPv/5l+DWW89CJpPEGWf8EG9844/w7//+G2zcuB2h0IVCjD1srjUC2ruBMgYcdtgleM97rsWePb0Xo+rsueYiR8gFpy+eCWLbL+4DwIaGvyaxbl0KP/jB6bj44lfg179+As997iX45jfvW7OBNGGOBKnPkGzczdDkpJzI9NhYHOEw61nImdB/yoS1u1cymSQqlToWF1u7gtp0LUBnIwvOudL1pZM5jk1i30WFbb+qtOSg1EGTkJPM859/AO6886/wT//0IlxxxYN473uvx65dC+Dcv7GH7bVGQHs30N2734l3v/twbN9+DzZtuggXXngHSqXuBjJB2wCakLpHQm4t7mdiQuTINhhjeOtbn4177jkHRxyxH8499+d43euu3HtgU69zIwQyCbneyWYLGB+PS6tN9pIZYJqQ032w2AvdTDmy2QIYAyYm7Eghn5xsLzbm50uo1bjCiFz79D3bBDKgZl3MZgsYHpZnWOSiwoFTBSTkFBCNhvGRj7wA+++/Nj3Oj7GHTlt6kbQySchkUvjyl0/Cvfe+FccddyA+/OH/xebNF+P73/+/jrnZJoiEq656GABw/vk3+I665nJq+t10QqSQU9EfRgUNIWd+w19T2bhxDDfeeCYuvPBEXHXVH/HsZ38TH/zgjdiw4Wuo1zm+8pXf+Lp3/NLsTkp0RsW624v5TKVSw/x8SYmQ6xaRyGYLCIUYxsf1rd290os5yMREAuGwHVvGSCSE8fF4y+tRLZ46PT9tFHIN0S/Ptl9V3SBF5AjPPP74csuv22zsIZtDD03jpz99Pa6++g1IJiN4wxt+hBe/+Lu4664/r/neYrGK5WW9+ebT0zvwrnddu/fvQYi6ilzsZmeL4NyuB1cr3E2l8/MZ7B5yfgiFGD74wefjzjv/CvF4GF/4wl149NElAMDsbMnXveMXisj1jopnUS/r0MxMce/3yhwH0H1e5HIFTE7aIX66uSvauNdoV/+kQ8h1+lxVjkUEqlIrVbmKzszYb2hl/goTINoZe4TDob5aFdi4uPbLKadsxN13n4OvfvVluP/+HJ7//G/jrW/9GR57bGnv95jg4imjnYLun7G72NVqnV3aesHGB1cr3LqHJ56g1EoRPOc569DqrMLPveMXL5b3g44pQk5FKnovvcHcf7dlbTDFrl8k7dLmVD+DOrmc2vg8VJVaqeIzcQ2t5ubs7iVHQk4hrYw94vEwxsdjOOGEy/GOd1yN2dneJ5SNi6sfIpEQ3vWuw/Hgg2/Hhz/8fFx22QPYtOnr+NSnfoWLL74Xz3/+twEAH/3ozdpO8UW3UzDDvCW1stj5d6kyQWyLIJNxHgD5fHWg7kGZPPLIYsuv93vv+EVG642gYpqQkxklTyQiGBqKdk0ts8lWPohCrt180RGR4xwt93ayTYJkMDoaQyQid11U3efP9jWehJxCWhl7XHTRy7Fz5xZ8+MPPx8UX34dnPvMbuOyy+7v26KjVnFqjQazPGRuL43OfOxH3338uTj31afjEJ36F8867em/qajZb0JaS1S7qmkxG+tqQmvAA7aWpaa/YeALZiuYNmu3XYgrt7p12X5fNd75zP2o1js9+9nbfta5BR5WQy+U6969SaVsepIhcN1dQm67FJZ1OdEmtVJMS3+n5KdskSAZu+x2ZmQqqhZzMNFEVkJBTTCtjj6GhGP75n0/EnXf+NTZsGMVZZ/0Ur3zl9/HHP861fZ25uRLqdT7Q9TlPe9o4vve912D//VNY/WzXlZLVrp1CpVLDIYd8A5/4xC+xvNza4rkVJjxAg9ZOQQTN47f9Wkyh1b2TSkWwbdvxyscyPb0DW7Zcs7d2wm+ta5DJ5ysoFKrSo0/pdPf+Vars3HsRciY4r/aKszlvbZOv2q5fFJ0icrFYGMPDato2dUrFtfFzBeSahJRKVSwulhWlVnbuN2gLJOQM4vDD98Mtt5yFL33ppfjlL/+EZz3rm/jc525DpVJb871B2RCL4IknWqe46EjJatdO4aGH3oEzzjgYn/rULXjmMy/Gd77TPerKOTfCmZSE3FpIyImn1b2zffspmJrarHwsomtdg4xK8QR0XodUtWvptpG1Ufw417T2Wbq8XEG5XLPqWgBHQOXzVRQKlX2+rtpArNO8tW2OuMgUcu5hgtrUSnkOnCogIWcY4XAIf/M3R+L++9+Gl798Iy644CYcddS3cdttj+/zfTY2kpSFaSlZraKu69eP4rLLTsNNN70Z++2XwtTUT3H88Zfhjjseb/s6CwtlVKt17T/jm292jHhOP/2HQprYJ5MRpFL2NrEH9t0o6v75BIlW944ORNe6BhmV6YzN79duLMPDUcTjcvtPddvILi054sem0gdTaspE0S5tTrV46pS+Z6uQk9l/TeV8czPaKLWSkMJBB43giivOwBVXnI5croBjj53G+953HRYWnLQSExpFm4JJKVndOP74g3DHHX+Fiy56Of7whzkcffQ0zj33Z3j88aU132vCA3R6egcuuOCmvX8X1U7BdppTmnVHTAnxtDsEespTRhSPxHxME3KqTvI7bf7cE36b1rruQs6uMo5280X1M6iRvrc26mPr87BTSwW/qNz3DA9HA2FoRULOcM44YxN27DgX73vfEfj3f78bhx56Md7//hvwtrf9HIATJRn0ug2TUrJ6IRRieNvbnoP/+7/z8Pd//3xMT9+PZzzjInz2s7ehWGykczUcHvWJ9a1bb0ahILadQhCEz/BwFLGYU6BOhynBo9XhEACMjsatt6oWzaAKufn5UsuyB6A5Pcwe8WOKXb8o2rUPUS2eUqkoEolIoCJyrujvVh7SDyoPQRhjUtNEVUFCzgJGR+P40pdOwq23TiEcZvjiF3+9d1H405+WqAgf5qRkeWF01HHf3LHjXJx00gZ85CM34VnPuhhXXPEgpqd34LTTfgAAePvbrw5UOwUbH1yrcRwNnb5AmzZdNPD3X9BodTj09rc/B7///QyOOeY7eOihWd1DNAZVG/1e+vqpWl8aY2kt6m0UP26UcfXm3MZrAcyJyLUTC65JkG2fK9Cb8VC/6HAVtb1XKAk5izj66AOMa5pL+Ofggyfwwx+egWuvfSOSyQhe97orcfbZP8OePc7i8uc/541rp9Dvw8fWE8hmXEfDWo0cDYPM6sOh//zPl+O6696IbLaAo4+exo037tY9RCPIZgtgDJiYkBuZ7qV/laqIfzeTBBtLHzKZJKrVOhYW9nVVtlXItRL+tVodMzPqn0HpdKKloATsitq6yLTtV33vyKz3UwUJOcswrWkuIY6XvWwD7r77HExMJPbanruY1E6BMWDPngJe//or8dhja2v7OhEEIUeOhoPLCSc8BbffPoUDDhjCKaf8N772td/qHpJ2stkCJieTCIflbid6SYMypZGwjeKnUwQrHGYYG4vrGFbftLKWn50tgnP1P5dWUR8b54iLzEba2WwBY2PqeutRaiWhHNMcGgmxRCKhtjU4prRT+OY3X4HPfOZFuOqqP2Lz5ouxfftv1wjPVlQqNczNlax8cDVDjoaDzdOeNo5bbjkLJ5+8Ae9617U4//wbUK3WdQ9LG04UTM3peadNV7lcw8KCmv5T3TayuVwBoRDD+Lg9Ebl2PbUcoZ5AKKTGrl8U0WgYY2Pxfa5Hl3hqNW+DIeTE2/brcBWl1EpCKTY5NBL9YZpYX51idvbZz8YFF7wA99xzDo48cj+8853X4iUv+S5+//uZjq8zM6OuP4xMTPv5EOoZHY3jxz9+Ld7//ufhS1/6NU477QcDa4KicuPVScipXF96icil03aJHzfFb/XmPJvNW7tmp9OJfdL/dImnVul7Ngu5Tk3O/aJHyBV7Oow2FRJylmGbQyPhHVvE+qZNE7j++jfhootejnvu2YPDDrsE27bdinK5tZNbI/fdvgdXM7b8fAi5hMMhfOELL8HXv/5yXH/9bhx77GCaoKg0MHI25u3EU37le8wwO7Ftnevcd82+Oi5grfDXGZGbnS3uNcjSORYRyK6RU9seIol6nVt9EEdCzkJsdGgkescmsc6Y00rh/vvfhtNPPxgf/ejNeN7zLl3TwB4IThN7m34+hHzOO+85uO66N2LPngJe8ILBM0FRG5FLGVGXFouFMToa6zgW29Y5U1weRZJO75s2p1PIce7U6DXGkl9Jv7Wr9hDozXioX0xq2G4LJOQIwkBsE+tPetIQvvvdV+NHP3ot5uZKOPbYaZx//g1YXGw4oNl8Arka234+hFxOPNExQXnSkxwTlO3bB8MEhXOuPLWyXRqU6vWlU5qnjW1W2m3ObRZy7SJyqqOlrVIR3dpD2SZBMmCMtXTiFIEuIWez4Yl9M4ggCGN59aufjt/97q1473uPwJe//Gs861kX46c//QOmp3fgHe+4BgBw2mk/IKt+InA87Wnj+NWvHBOUd75zMExQlpcrKJVqSsVTuzQo1ULOqXtq337ANvHTanOuWqiLppWQS6UiSKWiyscBYE29nq2fKyDHJERHb712Jj82QUKOIAihjI7G8eUvn4Rf/vIsjIzEcNppV+Ccc36214yAmtgTQWVsbF8TlCOP/Bae8pSvIRS6EBs3bg/cnNcRBWt+32bcTbKqaEu7iJwrfmyrkQPWXtP8fAm1GrdWcKTTSSwvV1AsOu1idImnVvM2CEJOtPjRUX4h04FTFSTkCIKQwrHHHojf/OZsjI3F9zbPdqG+a0RQcU1Qzjvv2bj33iwefXQRnAezcbzqpsbu6XmrepZstoCRkRhiMb39pxYXy6hU6lZu0ldHWdzP2cZrAZojYc416TJuaRX1ISG3Fh3lF+58oBo5giCIFsRiYSwslFr+G/VdI4LMddetNT0J2gGGSRE5HbU1rSOD9tYCm+LyKIrVwl93RG618Yqtnyuw1khGBDrm2/BwFNGoHOMWVZCQIwhCKtR3jRhEBqFxfMM8Ql1DcOd916ZBqe53lskksbRUQalUXTUOe8XPaldQ93O28VqAtcJfl3hKpaKIx8N7x2Fz+q2LK/o5F9d/Tce9wxiTEl1UCQk5giCkQn3XiEGk3UHFyEjM6uazzaiOPjWaVreukTPBttzmfplunz53c26zKAXWCn9dQm61WLA5/dYlk0miVuOYn2+dcdMPOttDiI4uqoSEHEEQUqG+a8Qg0uoAIxJhWFgo48wzf4xCoaJpZOLIZgsrvbDUROSGh6OIxcJtUytViqdOfdea/90mVm/Obb4WYN/G7ZVKDfPzJW3X0iwWbP9cgdYtFfySzRbAGDAxoWY9cXEcaO0VcpHu39IextgkgO8C2AhgJ4A3cc5nW3zfTgCLAGoAqpzzo/y8L0EQdjE1tZmEGzFQuPN969absXv3AtavH8W2bcfjz39exoc//L/YvXsBV175WjzpSUOaR9o/jnhKIBRiSt7PtchvZ3ai1ra89UbWZoOQZnE6Pu60IohGQxgZiWkeWX80/4x0/1yaxUIQhFxzRPrgg8W8ptNbL6m8t14mk8R992WVvqdIfAk5ABcAuJ5z/lnG2AUrf/+HNt/7Es65vZ8UQRAEQXig3QHG058+jqmpn+IFL/g2fvKT1+E5z1mnYXT+0ZGq1qqepVSqYnGxbIRteTZbQDjMMDYWVzYWUTQLuYMPntgb5WRMjVAXTSwWxshIDLlcQXu9XyaTxN13PwEgWEJOpG2/TjOaQU6tPB3AJSt/vgTAGT5fjyAIgiACzRlnbMJNN70F1SrHccddhp///I+6h9QXOuzcWwk5HdGWTqmVk5PqopQiMcUcRCTufNEtnhyx0HDP1DkWEchKrdTxmTgOnEVra5f9Crn9OeePA8DK7/u1+T4O4BrG2F2MsS2dXpAxtoUxdidj7M49e/b4HB5BEARBmMeRR+6P226bwtOfPo5XveoH+MpXfq17SJ4xJSKnw/J/cnJtbzDn72rdM0WyenNOQk4c6XQCMzMF1Gp17WMRQTuzHz/ojMjV6xxzc3b2kusq5Bhj1zHG7mvx63QP73Mc5/xIAK8E8F7G2AntvpFzvp1zfhTn/Kh16+xMNyEIgiCIbhx00AhuuunNOO20p+Fv/uYG/O3fXo9qta57WD1jipBT3QYBAKLRMMbH4y2jgzqaTougdQNte8UG0HDi1C2eMpkUOAdmZ4tWp9+6jI7GEImI7b+mv89fQIUc5/xlnPNnt/h1JYC/MMYOAICV359o8xqPrfz+BIArABwt7hIIgiAIwk6Gh2P4wQ9Oxwc+8Dx8+cu/wemnX4HFxbLuYXXF7YWleuOVTicxO1tErdYQvHpty9e2H7BV/IyMxPZpjmzztbi4vfF0t4VoFgu5nPO52lp7CIjvv9borafWsRJonyZtC35TK38E4JyVP58D4MrV38AYG2KMjbh/BnAKgPt8vi9BEARBBIJwOITPf/4l+I//OBlXX70Txx33HeMbhy8slFGt1pVvvBppUI3+VQ0hp79eT9dmVATNm/NarY6ZGbW9+WTgupxmswWMjsYQi4W1jQPAXlFp++cKONckSvwsLVVQLtc01ci1TpO2Bb9C7rMATmaMPQjg5JW/gzF2IGPsqpXv2R/AzYyx3wK4HcBPOec/9/m+BEEQBBEo3vnOw/Czn70eu3Yt4Oijv4077nhc95DaoqMurfn9mjddOlIr3bE0j0NXlFIk7jXNzZVQr3OrrwVwrmdxsYw//WlJ67U0p63aPkdcRLo96nQVXZ1SbBu+hBznPMc5P4lzvmnl95mVrz/GOT915c8Pc84PW/n1LM75NhEDJwiCIIigcfLJG3HLLWchmYzgxBO/i//+79/rHlJLdKYzNr8/4GzARkdjiEbVRluc3mAN+/XFRSdKafMm3e13pkuoi8Yd/+9/P2OEkAtSRE5kaqWuqHrzew5qRI4gCIIgCIFs3pzBbbdN4fDD98Mb3/hjvOlNP8aGDV9DKHQhNm7cjunpHbqHqDWdsfn93T/rOslvFRm0eZPuRlmCcC1AoybuwQfntF5LsyOojrYdMmhucu4XnfNteDi6T22obZCQIwiCIAjD2G+/Idxww5tw7LEH4Hvf+z12714E58CuXQvYsuUa7WJO18bL3RA3p0HpFHL5fBX5fGXvOJrHaCOm2PWLwh1/sVjVei1DQ1HE42Hs2ZPfa3ZiO67o59x//zWd8020cYtqSMgRBEEQhIEkEhH86U9La76ez1exdevNGkbUwKTUSv225Q2Xx+av24jrxPnEE/pqlkTSLKp1XosrFv7wh3nUavbXHgLO51mrcczPl7p/cxd03zsi6/1UQ0KOIAiCIAzlkUcWW35dt6tlNltAJBLC6GhM6fu6kY3VNXIm9J8KQl1ZOu24gj700BwAu68F2Hf8utMZ0+kkHnggtzIWuz9XQKxtv+7eeiLTRFVDQo4gCIIgDGX9+tGWX5+Y0Gtx70bBVPfCapUG5Vj+6xNyzX3Xmr9uI83mIIlEBKlUVPOI/NHsZKr755LJJAMjkAHgnnv2AACe8YyLfNfuuvdwKKSntx6lVhIEQRAEIZxt245HKhXZ52uhEMPMTBFbtlyDUqmqZVw6+6U1b7qKxSqWlipaI3LNQk5nVEEE7jU98MCM9U2rASAej2B42BGjusVTJpNEpVI3Yix+mZ7ega985TcAIKR2V7eTJ6VWEgRBEAQhnKmpzdi+/RRs2DAKxoANG0bxzW++Ah/5yAvwn/95D1784u/iscfW1tHJRufGK51ubLp0pjM2nAjzK787UQWbxY/7OT700Jy1jc1X416TbvFkUnTQL1u33oxisbbP1/zU7uoWcs6aUkS97t+4RTUk5AiCIAjCYKamNmPnzi2o1z+EnTu34K//+ln4p396Eb73vVfj3nuzeN7zLsUvf/knpWPS6bzXHJHTmc44MZEAY40xBMGN0B2/7f3wXKand+w96DjzzB9rdXvdt17P7s+2XY1uv7W7uoVcJuPUhs7NFbWNoV9IyBEEQRCEhbzhDYfgttumMDwcxYtf/F38+7//RogVeC/o7IXVLORcoxEdm8BIJISJicQ+otL2DbopLo8imJ7egS1brkG57KQzPv74stbWHe5nG4+HMTRkd+1hu9rdJz1pqK/X033vrDYusgkScgRBEARhKc96VgZ33PFXOOWUDXjve6/HeeddjWJRbt1cvc61R+RmZ4uoVut70xp19W5bHR20uYcc4DRHjsXCAOwXclu33ox8ft97QWfrjuYUT5vTb4HWtbuAk2Z86aW/8/RautcToJH2aqPhCQk5giAIgrCY8fEEfvzj1+FjHzsGF198H0444XI88oi89gTz8yWtvbAymSQ4B2Zni9qdIt2+a4D+qIIIXFdQwH4hJzr9zy9B+VyB1rW7X/nKSXjhC5+Ms8/+Gd75zmt6PlDSvZ4AYlspqIaEHEEQBEFYTijE8KlPHY8rrjgdDzwwg6OO+jZ+8YtHpLyXbvHkRr1yucLesUxO6nXQ5JwjlysGYpMeFMHRLv2v3ddlc/vtfwYA/Pa3e3zb9ZvA6trd9773CFx33ZtwwQVHY/v2e/DCF34HDz881/V1dK8nze9to3MlCTmCIAiCCAhnnLEJt902hYmJBE466Xv48pd/LbxuTvfGq/n0PJcrYnw8jmg0rG0s2WwBCwvlwBiENISc3gbafmmV/pdKRbBt2/HKxzI9vQOf+cxte//u167fVCKRED7zmRPw4x+/Fjt3LuDIIy/FD3/4YMf/o3s9AZodaEnIEQRBEAShkUMPTeO226Zw6qlPxd/+7Q1461t/hosvvhcbN25HKHShkOa9gBlCTnddmivk9uxxa/Xstuyfnt6BW299DABw/vk3WC00WqX/bd9+CqamNisfy9atN6NQMKdeTzannfZ0/PrXf41Nm8bx2tdeiQ9/+H9QqdRafq/u9QQARkZiiEZDVgq5tZWKBEEQBEFYzdhYHFdccQY+/elb8IlP/AqXXroDbmDOjQYA6GtT2zAY0ZfO6IyjoL0uLZ1OolisYvfuxX3GZiOuy6NrEPLEE3lf88QEpqY2GzF20+r1VLBx4xhuvvkt+MAH/gcXXngnbr31cVx++Wl48pNH9vk+dz3Ree+4taGUWkkQBEEQhBGEQgwf//gLsW5dEquzK/1EAxqW//raDwBmCDn3vX//+5mVv9ubjmiay2OQMK1eTxXxeAT/9m8vw3e+8yr85jdP4IgjvoXrr9+1z/c0InJ6751mB1qbICFHEARBEAGm3ebET/PeWCyM4WE9vbBSqSgSiciK2UneCCH3wAMz+/zdRgYxaqQKk+r1dPCWtxyKO+74K6xbl8LJJ38P//iPt6Bed06XdK8nLuk0CTmCIAiCIAyj3an/gQcO9/V6bhRMZy8s9/Rct1Pk6oiczTVygxo1UoFJ9Xq6OPTQNG6/fQpTU5vx8Y//Eqee+n38x3/cjX/7t7tRLtfw1Kf+p9aaTEqtJAiCIAjCONo1752bK+LHP/6D59fTnc4IOJuuRx5ZxPJyRbvZCeBE5MJhhrGxuLax+GXQo0ayWW3XP0gizmVoKIZvfeuV+NrXTsZ11+3Ce95zHZaXKwD0O3lSaiVBEARBEMbRKhpw4YUn4hnPmMRrXnMF3v/+G1Eq9da8FzBHyP3+97N7/6xzHICTfqg7SukXihoRKmCMYcuWw7BuXUpo7a5f0ukkcrni3pRPWyDXSoIgCIIIOK3c+973viPw93//C3zxi3fhppsexeWXn4aDD57o+lrZbAGHHbZO1lB7IpNJ4tFH9TtFjo8nEAox1Otcu7gVgSkuj0Tw+ctfllt+XVdN5s6d86jXOSKRz2P9+lFs23a8FfcCReQIgiAIYgCJxyP41399KX74wzPw8MPzOPLIS3HZZfd3/X8mROSaa9F0jiUUYpicdMaiM8WTIGzDpJrM6ekd+N73fg8A4Fx/mqcXSMgRBEEQxABz+ukH4+67z8Zzn7sOZ531U5x33s+xvFxu+b21Wh0zMwXtph7N4s2UsegWtwRhEybVZG7dejPK5fo+X7Ol9QYJOYIgCIIYcNavH8X//M+Z2Lr1GFx88X14/vO/jXvv3bPm+2Zni+DcjJ5Prf6sAxJyBOEdk2oybW69QUKOIAiCIAhEIiF8+tPH49pr34jZ2RKOPnoaX/vab8GbHAkazcB1i6eGkJyc1D0WEnIE0Q+mOHmalObpFRJyBEEQBEHs5aSTNuDuu8/GCScchHe961qceeaPMTfnCDjXnlu3aHHff2IigUhE71bGHQvVyBGEnZiU5ukVEnIEQRAEQezD/vsP4Wc/ez0+97kTcMUVD+GII76FT33qV3jta38IADjnnJ9pNQJw6+J0C8rp6R34r/9yTBL+6Z9utcIcgSCIfTEpzdMrjK9u4mAQRx11FL/zzjt1D4MgCIIgBpZbb30Mp532g71plS6pVETbZudLX7oL559/IwBn06XDKnx6ege2bLkG+XyjB5/Oz4QgiODCGLuLc37U6q9TRI4gCIIgiLYcc8yBSCaja76uy9VtenoHLrjgpr1/12UVvnXrzfuIOMAepzuCIIIBCTmCIAiCIDrypz8ttvy6Dle3rVtvRqGgX0DZ7HRHEEQwICFHEARBEERHTHJ1M0VAmfSZEAQxmJCQIwiCIAiiIya5upkioEz6TAiCGExIyBEEQRAE0RGTXN1MEVAmfSYEQQwm5FpJEARBEIRVTE/vwNatN2P37gWsX6/HtZIgCEIV7VwrScgRBEEQBEEQBEEYCrUfIAiCIAiCIAiCCAgk5AiCIAiCIAiCICyDhBxBEARBEARBEIRlkJAjCIIgCIIgCIKwDBJyBEEQBEEQBEEQlkFCjiAIgiAIgiAIwjJIyBEEQRAEQRAEQVgGCTmCIAiCIAiCIAjLICFHEARBEARBEARhGSTkCIIgCIIgCIIgLINxznWPoS2MsT0Adukeh8FkAGR1D4IgPEBzlrANmrOEbdCcJWyD5mx3NnDO163+otFCjugMY+xOzvlRusdBEL1Cc5awDZqzhG3QnCVsg+Zs/1BqJUEQBEEQBEEQhGWQkCMIgiAIgiAIgrAMEnJ2s133AAjCIzRnCdugOUvYBs1ZwjZozvYJ1cgRBEEQBEEQBEFYBkXkCIIgCIIgCIIgLIOEnCUwxhKMsdsZY79ljP2OMfbJla9PMsauZYw9uPL7hO6xEoQLYyzMGPsNY+wnK3+n+UoYDWNsJ2PsXsbY3YyxO1e+RvOWMBLG2Dhj7L8ZYw8wxu5njB1L85UwFcbYIStrq/trgTH2dzRn+4eEnD2UALyUc34YgMMBvIIxdgyACwBczznfBOD6lb8ThCmcD+D+pr/TfCVs4CWc88Ob7LBp3hKm8q8Afs45fyaAw+CstzRfCSPhnP9+ZW09HMDzAOQBXAGas31DQs4SuMPSyl+jK784gNMBXLLy9UsAnKF+dASxFsbYQQBeBeDrTV+m+UrYCM1bwjgYY6MATgBwEQBwzsuc8znQfCXs4CQAf+Cc7wLN2b4hIWcRK2lqdwN4AsC1nPPbAOzPOX8cAFZ+30/jEAmimS8C+HsA9aav0XwlTIcDuIYxdhdjbMvK12jeEibyNAB7AFy8ksL+dcbYEGi+EnbwZgCXrfyZ5myfkJCzCM55bSUcfRCAoxljz9Y8JIJoCWPsNABPcM7v0j0WgvDIcZzzIwG8EsB7GWMn6B4QQbQhAuBIAF/lnB8BYBmUkkZYAGMsBuA1AL6neyy2Q0LOQlZSJ/4HwCsA/IUxdgAArPz+hL6REcRejgPwGsbYTgCXA3gpY+zboPlKGA7n/LGV35+AU7txNGjeEmbyKIBHV7JzAOC/4Qg7mq+E6bwSwK85539Z+TvN2T4hIWcJjLF1jLHxlT8nAbwMwAMAfgTgnJVvOwfAlVoGSBBNcM4/wjk/iHO+EU76xA2c878CzVfCYBhjQ4yxEffPAE4BcB9o3hIGwjn/M4BHGGOHrHzpJAA7QPOVMJ+3oJFWCdCc7RtqCG4JjLHnwikADcMR4P/FOf8UYywN4L8ArAewG8AbOecz+kZKEPvCGHsxgA9xzk+j+UqYDGPsaXCicICTtvYdzvk2mreEqTDGDodjKBUD8DCAc7GyRwDNV8JAGGMpAI8AeBrnfH7la7TG9gkJOYIgCIIgCIIgCMug1EqCIAiCIAiCIAjLICFHEARBEARBEARhGSTkCIIgCIIgCIIgLIOEHEEQBEEQBEEQhGWQkCMIgiAIgiAIgrAMEnIEQRAEQRAEQRCWQUKOIAiCIAiCIAjCMkjIEQRBEARBEARBWMb/D4L+pjwLQBvkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.plot(df_output.iloc[start_idx:start_idx + nb_predictions + N_pred], 'o-', label = 'measured', color = 'darkblue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "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>SolRad</th>\n",
       "      <th>SolRad_1</th>\n",
       "      <th>OutsideTemp</th>\n",
       "      <th>OutsideTemp_1</th>\n",
       "      <th>SimulatedHeat</th>\n",
       "      <th>SimulatedHeat_1</th>\n",
       "      <th>SimulatedHeat_2</th>\n",
       "      <th>SimulatedTemp</th>\n",
       "      <th>SimulatedTemp_1</th>\n",
       "      <th>SimulatedTemp_2</th>\n",
       "      <th>SimulatedTemp_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.828499</td>\n",
       "      <td>-0.686753</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.255370</td>\n",
       "      <td>-0.240796</td>\n",
       "      <td>-0.227086</td>\n",
       "      <td>-0.020567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.858285</td>\n",
       "      <td>-0.828499</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.270921</td>\n",
       "      <td>-0.255370</td>\n",
       "      <td>-0.240796</td>\n",
       "      <td>-0.227086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.866567</td>\n",
       "      <td>-0.858285</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.287999</td>\n",
       "      <td>-0.270921</td>\n",
       "      <td>-0.255370</td>\n",
       "      <td>-0.240796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-0.864584</td>\n",
       "      <td>-0.866567</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.305151</td>\n",
       "      <td>-0.287999</td>\n",
       "      <td>-0.270921</td>\n",
       "      <td>-0.255370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.811292</td>\n",
       "      <td>-0.864584</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.111516</td>\n",
       "      <td>-0.305151</td>\n",
       "      <td>-0.287999</td>\n",
       "      <td>-0.270921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1842</th>\n",
       "      <td>-0.993804</td>\n",
       "      <td>-0.994013</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.174022</td>\n",
       "      <td>-0.238089</td>\n",
       "      <td>0.173677</td>\n",
       "      <td>-0.236739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1843</th>\n",
       "      <td>-0.993823</td>\n",
       "      <td>-0.993804</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.236873</td>\n",
       "      <td>0.174022</td>\n",
       "      <td>-0.238089</td>\n",
       "      <td>0.173677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1844</th>\n",
       "      <td>-0.993842</td>\n",
       "      <td>-0.993823</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.175584</td>\n",
       "      <td>-0.236873</td>\n",
       "      <td>0.174022</td>\n",
       "      <td>-0.238089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1845</th>\n",
       "      <td>-0.993652</td>\n",
       "      <td>-0.993842</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.197791</td>\n",
       "      <td>0.175584</td>\n",
       "      <td>-0.236873</td>\n",
       "      <td>0.174022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1846</th>\n",
       "      <td>-0.993576</td>\n",
       "      <td>-0.993652</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.212926</td>\n",
       "      <td>0.197791</td>\n",
       "      <td>0.175584</td>\n",
       "      <td>-0.236873</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1844 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        SolRad  SolRad_1  OutsideTemp  OutsideTemp_1  SimulatedHeat  \\\n",
       "3    -0.828499 -0.686753     0.294118       0.294118           -1.0   \n",
       "4    -0.858285 -0.828499     0.294118       0.294118           -1.0   \n",
       "5    -0.866567 -0.858285     0.294118       0.294118           -1.0   \n",
       "6    -0.864584 -0.866567     0.294118       0.294118            1.0   \n",
       "7    -0.811292 -0.864584     0.294118       0.294118           -1.0   \n",
       "...        ...       ...          ...            ...            ...   \n",
       "1842 -0.993804 -0.994013     0.058824       0.058824           -1.0   \n",
       "1843 -0.993823 -0.993804     0.058824       0.058824            1.0   \n",
       "1844 -0.993842 -0.993823     0.058824       0.058824            1.0   \n",
       "1845 -0.993652 -0.993842     0.058824       0.058824           -1.0   \n",
       "1846 -0.993576 -0.993652     0.058824       0.058824            1.0   \n",
       "\n",
       "      SimulatedHeat_1  SimulatedHeat_2  SimulatedTemp  SimulatedTemp_1  \\\n",
       "3                -1.0             -1.0      -0.255370        -0.240796   \n",
       "4                -1.0             -1.0      -0.270921        -0.255370   \n",
       "5                -1.0             -1.0      -0.287999        -0.270921   \n",
       "6                -1.0             -1.0      -0.305151        -0.287999   \n",
       "7                 1.0             -1.0       0.111516        -0.305151   \n",
       "...               ...              ...            ...              ...   \n",
       "1842              1.0             -1.0       0.174022        -0.238089   \n",
       "1843             -1.0              1.0      -0.236873         0.174022   \n",
       "1844              1.0             -1.0       0.175584        -0.236873   \n",
       "1845              1.0              1.0       0.197791         0.175584   \n",
       "1846             -1.0              1.0      -0.212926         0.197791   \n",
       "\n",
       "      SimulatedTemp_2  SimulatedTemp_3  \n",
       "3           -0.227086        -0.020567  \n",
       "4           -0.240796        -0.227086  \n",
       "5           -0.255370        -0.240796  \n",
       "6           -0.270921        -0.255370  \n",
       "7           -0.287999        -0.270921  \n",
       "...               ...              ...  \n",
       "1842         0.173677        -0.236739  \n",
       "1843        -0.238089         0.173677  \n",
       "1844         0.174022        -0.238089  \n",
       "1845        -0.236873         0.174022  \n",
       "1846         0.175584        -0.236873  \n",
       "\n",
       "[1844 rows x 11 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_iter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "\n",
    "y_name = dict_cols['y'][1][0]\n",
    "for idx in range(start_idx, start_idx + nb_predictions):\n",
    "    df_iter = df_input.iloc[idx:(idx + N_pred)].copy()\n",
    "    for idxx in range(N_pred - 1):\n",
    "        idx_old = df_iter.index[idxx]\n",
    "        idx_new = df_iter.index[idxx+1]\n",
    "        mean, var = m.predict_f(df_iter.loc[idx_old, :].to_numpy().reshape(1, -1))\n",
    "        df_iter.loc[idx_new, f'{y_name}_1'] = mean.numpy().flatten()\n",
    "        for lag in range(2, dict_cols['y'][0] + 1):\n",
    "            df_iter.loc[idx_new, f\"{y_name}_{lag}\"] = df_iter.loc[idx_old, f\"{y_name}_{lag-1}\"]\n",
    "        \n",
    "    mean_iter, var_iter = m.predict_f(df_iter.to_numpy())\n",
    "    plt.plot(df_iter.index, mean_iter.numpy(), '.-', label = 'predicted', color = 'orange')\n",
    "plt.plot(df_output.iloc[start_idx:start_idx + nb_predictions + N_pred], 'o-', label = 'measured', color = 'darkblue')\n",
    "plt.title(f\"Prediction over {N_pred} steps\")\n",
    "plt.savefig(f\"prediction_{N_pred}_steps.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test CasADi problem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "import casadi as cs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "class GPR(cs.Callback):\n",
    "    def __init__(self, name, model, opts={}):\n",
    "        cs.Callback.__init__(self)\n",
    "\n",
    "        self.model = model\n",
    "        self.n_in = model.data[0].shape[1]\n",
    "        # Create a variable to keep all the gradient callback references\n",
    "        self.refs = []\n",
    "\n",
    "        self.construct(name, opts)\n",
    "    \n",
    "    # Number of inputs/outputs\n",
    "    def get_n_in(self): return 1\n",
    "    def get_n_out(self): return 1\n",
    "    \n",
    "\n",
    "    # Sparsity of the input/output\n",
    "    def get_sparsity_in(self,i):\n",
    "        return cs.Sparsity.dense(1,self.n_in)\n",
    "    def get_sparsity_out(self,i):\n",
    "        return cs.Sparsity.dense(1,1)\n",
    "\n",
    "\n",
    "    def eval(self, arg):\n",
    "        inp = np.array(arg[0])\n",
    "        inp = tf.Variable(inp, dtype=tf.float64)\n",
    "        [mean, _] = self.model.predict_f(inp)\n",
    "        return [mean.numpy()]\n",
    "    \n",
    "    def has_reverse(self, nadj): return nadj==1\n",
    "    def get_reverse(self, nadj, name, inames, onames, opts):\n",
    "        grad_callback = GPR_grad(name, self.model)\n",
    "        self.refs.append(grad_callback)\n",
    "        \n",
    "        nominal_in = self.mx_in()\n",
    "        nominal_out = self.mx_out()\n",
    "        adj_seed = self.mx_out()\n",
    "        return cs.Function(name, nominal_in+nominal_out+adj_seed, grad_callback.call(nominal_in), inames, onames)\n",
    "        \n",
    "class GPR_grad(cs.Callback):\n",
    "    def __init__(self, name, model, opts={}):\n",
    "        cs.Callback.__init__(self)  \n",
    "        self.model = model\n",
    "        self.n_in = model.data[0].shape[1]\n",
    "\n",
    "        self.construct(name, opts)\n",
    "\n",
    "    \n",
    "    def get_n_in(self): return 1\n",
    "    def get_n_out(self): return 1\n",
    "    \n",
    "    def get_sparsity_in(self,i):\n",
    "        return cs.Sparsity.dense(1,self.n_in)\n",
    "    def get_sparsity_out(self,i):\n",
    "        return cs.Sparsity.dense(1,self.n_in)\n",
    "\n",
    "\n",
    "    def eval(self, arg):\n",
    "        inp = np.array(arg[0])\n",
    "        inp = tf.Variable(inp, dtype=tf.float64)\n",
    "        \n",
    "        with tf.GradientTape() as tape:\n",
    "            preds = self.model.predict_f(inp)\n",
    "\n",
    "        grads = tape.gradient(preds, inp)\n",
    "        return [grads.numpy()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "cs_model = GPR(\"gpr\", m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "N_horizon = 5;\n",
    "\n",
    "T_set = 23;\n",
    "T_set_sc = scaler.transform(np.array([0, 0, 0, T_set]).reshape(1, -1))[0, 3]\n",
    "n_states = m.data[0].shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n"
     ]
    }
   ],
   "source": [
    "total_cols = 0\n",
    "for lags, cols in dict_cols.values():\n",
    "    total_cols += lags*(len(cols)+1)\n",
    "total_cols = total_cols -2\n",
    "print(total_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "W = cs.MX.sym(\"W\", N_horizon, 2)\n",
    "U = cs.MX.sym(\"U\", N_horizon, 1)\n",
    "x0 = cs.MX.sym(\"x0\", 1, n_states)\n",
    "Xk = cs.MX.sym(\"Xk\", 0, n_states)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "yhats = cs.MX.sym(\"yhats\", 0, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "yhat = cs_model(x0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "yhats = cs.vertcat(yhats, yhat)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### First step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "xk = x0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### All the other steps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "for row_idx in range(N_horizon):\n",
    "    # w\n",
    "    base_idx = 0\n",
    "    nb_cols = len(dict_cols['w'][1])*(dict_cols['w'][0])\n",
    "    wk_1 = xk[base_idx:base_idx + nb_cols]\n",
    "    \n",
    "    wk = cs.MX.sym(\"wk\", 1, 0)\n",
    "    nb_lags = dict_cols['w'][0]\n",
    "\n",
    "    for idx in range(W.shape[1]):\n",
    "        base_col = idx * (nb_lags - 1)\n",
    "        wk = cs.horzcat(wk, W[row_idx, idx], wk_1[base_col:base_col + nb_lags - 1])\n",
    "        \n",
    "    # u\n",
    "    base_idx += nb_cols\n",
    "    nb_cols = len(dict_cols['u'][1])*dict_cols['u'][0]\n",
    "    uk_1 = xk[base_idx:base_idx + nb_cols]\n",
    "\n",
    "    \n",
    "    nb_lags = dict_cols['u'][0] - 1\n",
    "    uk = cs.horzcat(U[row_idx], uk_1[:nb_lags])\n",
    "    \n",
    "    # y\n",
    "    base_idx += nb_cols\n",
    "    nb_cols = len(dict_cols['y'][1])*dict_cols['y'][0]\n",
    "    yk_1 = xk[base_idx: base_idx + nb_cols]\n",
    "    \n",
    "    nb_lags = dict_cols['y'][0] - 1\n",
    "    yk = cs.horzcat(yhat, yk_1[:nb_lags])\n",
    "    \n",
    "    xk = cs.horzcat(wk, uk, yk)\n",
    "    Xk = cs.vertcat(Xk, xk)\n",
    "    yhat = cs_model(xk)\n",
    "    yhats = cs.vertcat(yhats, yhat)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Helper functions to easily reproduce everything:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "ff = cs.Function('ff', [W, U, x0], [yhats])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "Ff = cs.Function('Ff', [W, U, x0], [Xk])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute the objective function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_diff = yhats - T_set_sc\n",
    "J = cs.dot(y_diff, y_diff)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute the parameters vector:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = cs.vertcat(cs.vec(W), cs.vec(x0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "prob = {\"x\": cs.vec(U), \"f\": J, \"p\": p}\n",
    "options = {\"ipopt\": {\"hessian_approximation\": \"limited-memory\", \"max_cpu_time\": 500,\n",
    "                    \"acceptable_tol\": 1e-8, \"acceptable_obj_change_tol\": 1e-6}}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "solver = cs.nlpsol(\"solver\",\"ipopt\",prob, options)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check the functions on \"real\" values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "real_W = np.random.rand(*W.shape)\n",
    "real_U = np.random.rand(*U.shape).reshape(-1, 1)\n",
    "real_x0 = np.random.rand(*x0.shape).reshape(1, -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.32890961],\n",
       "       [0.4927122 ],\n",
       "       [0.49099943],\n",
       "       [0.39245806],\n",
       "       [0.46950959],\n",
       "       [0.43129113]])"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yhats_ff = ff(real_W, real_U, real_x0)\n",
    "np.array(yhats_ff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "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>SolRad_1</th>\n",
       "      <th>OutsideTemp_1</th>\n",
       "      <th>SimulatedHeat_1</th>\n",
       "      <th>SimulatedHeat_2</th>\n",
       "      <th>SimulatedTemp_1</th>\n",
       "      <th>SimulatedTemp_2</th>\n",
       "      <th>SimulatedTemp_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.895049</td>\n",
       "      <td>0.607689</td>\n",
       "      <td>0.861179</td>\n",
       "      <td>0.163126</td>\n",
       "      <td>0.328910</td>\n",
       "      <td>0.357209</td>\n",
       "      <td>0.823767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.526683</td>\n",
       "      <td>0.921205</td>\n",
       "      <td>0.671148</td>\n",
       "      <td>0.861179</td>\n",
       "      <td>0.492712</td>\n",
       "      <td>0.328910</td>\n",
       "      <td>0.357209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.122918</td>\n",
       "      <td>0.763526</td>\n",
       "      <td>0.036916</td>\n",
       "      <td>0.671148</td>\n",
       "      <td>0.490999</td>\n",
       "      <td>0.492712</td>\n",
       "      <td>0.328910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.229133</td>\n",
       "      <td>0.133035</td>\n",
       "      <td>0.337802</td>\n",
       "      <td>0.036916</td>\n",
       "      <td>0.392458</td>\n",
       "      <td>0.490999</td>\n",
       "      <td>0.492712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.128558</td>\n",
       "      <td>0.819764</td>\n",
       "      <td>0.010466</td>\n",
       "      <td>0.337802</td>\n",
       "      <td>0.469510</td>\n",
       "      <td>0.392458</td>\n",
       "      <td>0.490999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SolRad_1  OutsideTemp_1  SimulatedHeat_1  SimulatedHeat_2  SimulatedTemp_1  \\\n",
       "0  0.895049       0.607689         0.861179         0.163126         0.328910   \n",
       "1  0.526683       0.921205         0.671148         0.861179         0.492712   \n",
       "2  0.122918       0.763526         0.036916         0.671148         0.490999   \n",
       "3  0.229133       0.133035         0.337802         0.036916         0.392458   \n",
       "4  0.128558       0.819764         0.010466         0.337802         0.469510   \n",
       "\n",
       "   SimulatedTemp_2  SimulatedTemp_3  \n",
       "0         0.357209         0.823767  \n",
       "1         0.328910         0.357209  \n",
       "2         0.492712         0.328910  \n",
       "3         0.490999         0.492712  \n",
       "4         0.392458         0.490999  "
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Xk_Ff = Ff(real_W, real_U, real_x0)\n",
    "pd.DataFrame(np.array(Xk_Ff), columns = df_input_train.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(6, 1), dtype=float64, numpy=\n",
       "array([[0.32890961],\n",
       "       [0.4927122 ],\n",
       "       [0.49099943],\n",
       "       [0.39245806],\n",
       "       [0.46950959],\n",
       "       [0.43129113]])>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np_realxk = np.empty((N_horizon + 1, n_states))\n",
    "np_realxk[0, :] =  real_x0\n",
    "np_realxk[1:, :2] =  real_W\n",
    "np_realxk[1:, 2] =  real_U.ravel()\n",
    "\n",
    "for row_idx in range(N_horizon):\n",
    "    mean, _ = m.predict_f(np_realxk[row_idx, :].reshape(1, -1))\n",
    "    np_realxk[row_idx + 1, 3] = np_realxk[row_idx, 2]\n",
    "    np_realxk[row_idx + 1, 4] = mean\n",
    "    np_realxk[row_idx + 1, 5] = np_realxk[row_idx, 4]\n",
    "    np_realxk[row_idx + 1, 6] = np_realxk[row_idx, 5]\n",
    "np_yhats, _ = m.predict_f(np_realxk)\n",
    "np_yhats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(6, 1), dtype=float64, numpy=\n",
       "array([[ 4.73010520e-13],\n",
       "       [ 3.35148576e-12],\n",
       "       [-2.21855867e-12],\n",
       "       [-1.00047748e-12],\n",
       "       [ 2.40901743e-12],\n",
       "       [ 5.94191363e-13]])>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yhats_ff - np_yhats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(1, 1), dtype=float64, numpy=array([[0.49099943]])>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean, _ = m.predict_f(np_realxk[2,:].reshape(1, -1))\n",
    "mean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up the problem and solve it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_idx = 25\n",
    "test_gpr = data_to_gpr(dfs_test_sc[0], dict_cols).drop(columns = u_cols + y_cols)\n",
    "real_x0 = cs.DM(test_gpr.iloc[start_idx, :].to_numpy())\n",
    "real_W0 = cs.DM(test_gpr.iloc[start_idx + 1: start_idx + N_horizon, :2].to_numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "real_p = cs.vertcat(cs.vec(real_W0), cs.vec(real_x0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "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>SolRad</th>\n",
       "      <th>SolRad_1</th>\n",
       "      <th>OutsideTemp</th>\n",
       "      <th>OutsideTemp_1</th>\n",
       "      <th>SimulatedHeat_1</th>\n",
       "      <th>SimulatedHeat_2</th>\n",
       "      <th>SimulatedTemp_1</th>\n",
       "      <th>SimulatedTemp_2</th>\n",
       "      <th>SimulatedTemp_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-0.212505</td>\n",
       "      <td>-0.187772</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>0.470588</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.096638</td>\n",
       "      <td>-0.081987</td>\n",
       "      <td>-0.067024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.238686</td>\n",
       "      <td>-0.212505</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.110607</td>\n",
       "      <td>-0.096638</td>\n",
       "      <td>-0.081987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-0.266314</td>\n",
       "      <td>-0.238686</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.123156</td>\n",
       "      <td>-0.110607</td>\n",
       "      <td>-0.096638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.293791</td>\n",
       "      <td>-0.266314</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.134641</td>\n",
       "      <td>-0.123156</td>\n",
       "      <td>-0.110607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>-0.319120</td>\n",
       "      <td>-0.293791</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.287059</td>\n",
       "      <td>-0.134641</td>\n",
       "      <td>-0.123156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>-0.438859</td>\n",
       "      <td>-0.319120</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.319561</td>\n",
       "      <td>0.287059</td>\n",
       "      <td>-0.134641</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      SolRad  SolRad_1  OutsideTemp  OutsideTemp_1  SimulatedHeat_1  \\\n",
       "28 -0.212505 -0.187772     0.529412       0.470588             -1.0   \n",
       "29 -0.238686 -0.212505     0.529412       0.529412             -1.0   \n",
       "30 -0.266314 -0.238686     0.529412       0.529412             -1.0   \n",
       "31 -0.293791 -0.266314     0.529412       0.529412              1.0   \n",
       "32 -0.319120 -0.293791     0.529412       0.529412              1.0   \n",
       "33 -0.438859 -0.319120     0.529412       0.529412             -1.0   \n",
       "\n",
       "    SimulatedHeat_2  SimulatedTemp_1  SimulatedTemp_2  SimulatedTemp_3  \n",
       "28             -1.0        -0.096638        -0.081987        -0.067024  \n",
       "29             -1.0        -0.110607        -0.096638        -0.081987  \n",
       "30             -1.0        -0.123156        -0.110607        -0.096638  \n",
       "31             -1.0        -0.134641        -0.123156        -0.110607  \n",
       "32              1.0         0.287059        -0.134641        -0.123156  \n",
       "33              1.0         0.319561         0.287059        -0.134641  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_gpr.iloc[start_idx: start_idx + N_horizon + 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "******************************************************************************\n",
      "This program contains Ipopt, a library for large-scale nonlinear optimization.\n",
      " Ipopt is released as open source code under the Eclipse Public License (EPL).\n",
      "         For more information visit https://github.com/coin-or/Ipopt\n",
      "******************************************************************************\n",
      "\n",
      "This is Ipopt version 3.13.4, running with linear solver ma27.\n",
      "\n",
      "Number of nonzeros in equality constraint Jacobian...:        0\n",
      "Number of nonzeros in inequality constraint Jacobian.:        0\n",
      "Number of nonzeros in Lagrangian Hessian.............:        0\n",
      "\n",
      "Total number of variables............................:        5\n",
      "                     variables with only lower bounds:        0\n",
      "                variables with lower and upper bounds:        5\n",
      "                     variables with only upper bounds:        0\n",
      "Total number of equality constraints.................:        0\n",
      "Total number of inequality constraints...............:        0\n",
      "        inequality constraints with only lower bounds:        0\n",
      "   inequality constraints with lower and upper bounds:        0\n",
      "        inequality constraints with only upper bounds:        0\n",
      "\n",
      "iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls\n",
      "   0  1.5357777e-01 0.00e+00 2.12e-01   0.0 0.00e+00    -  0.00e+00 0.00e+00   0\n",
      "   1  1.5076794e-01 0.00e+00 7.44e-03  -2.1 7.74e-03    -  9.97e-01 1.00e+00f  1\n",
      "   2  1.5076794e-01 0.00e+00 2.80e-04  -7.9 1.47e-02    -  9.83e-01 3.73e-09f 29\n",
      "   3  1.4931699e-01 0.00e+00 2.20e-04  -3.3 1.36e-02    -  1.00e+00 1.00e+00f  1\n",
      "   4  1.4931699e-01 0.00e+00 8.65e-04  -9.3 2.81e-02    -  9.85e-01 9.31e-10f 31\n",
      "   5  1.4931699e-01 0.00e+00 4.30e-04  -3.7 2.01e-02    -  1.00e+00 1.78e-15f 50\n",
      "   6  1.4931699e-01 0.00e+00 6.89e-04  -5.6 3.02e-02    -  9.98e-01 1.78e-15f 50\n",
      "   7  1.4931699e-01 0.00e+00 7.04e-04  -5.6 3.03e-02    -  1.00e+00 1.78e-15f 50\n",
      "   8  1.4931699e-01 0.00e+00 1.10e-02  -5.6 1.10e-02    -  1.00e+00 1.82e-12f 40\n",
      "   9  1.4931699e-01 0.00e+00 1.44e-02  -5.6 1.44e-02    -  1.00e+00 2.33e-10f 33\n",
      "iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls\n",
      "  10  1.4931699e-01 0.00e+00 1.07e-02  -5.6 1.29e-01    -  1.00e+00 3.93e-16f 50\n",
      "  11  1.4931699e-01 0.00e+00 9.52e-03  -5.6 3.74e-02    -  1.00e+00 1.44e-15f 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception ignored in: <bound method WeakStructRef._cleanup of WeakStructRef(HashableWeakRef(<weakref at 0x7f0448f557c0; dead>))>\n",
      "Traceback (most recent call last):\n",
      "  File \"/usr/lib/python3.9/site-packages/tensorflow_probability/python/internal/cache_util.py\", line 153, in _cleanup\n",
      "    if self._alive:\n",
      "AttributeError: _alive\n",
      "2021-05-22 10:38:28 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n",
      "CasADi - 2021-05-22 10:38:28 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n",
      "CasADi - 2021-05-22 10:38:28 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Cutting back alpha due to evaluation error\n",
      "Warning: Cutting back alpha due to evaluation error\n",
      "Warning: Cutting back alpha due to evaluation error\n",
      "  12  1.4931699e-01 0.00e+00 8.82e-03  -5.6 3.36e-02    -  1.00e+00 1.61e-15f 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CasADi - 2021-05-22 10:38:33 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Cutting back alpha due to evaluation error\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception ignored in: <bound method WeakStructRef._cleanup of WeakStructRef(HashableWeakRef(<weakref at 0x7f0448f6e220; dead>))>\n",
      "Traceback (most recent call last):\n",
      "  File \"/usr/lib/python3.9/site-packages/tensorflow_probability/python/internal/cache_util.py\", line 153, in _cleanup\n",
      "    if self._alive:\n",
      "AttributeError: _alive\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  13  1.4931699e-01 0.00e+00 1.27e-02  -5.6 1.27e-02    -  1.00e+00 3.54e-15f 49\n",
      "Warning: Cutting back alpha due to evaluation error\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CasADi - 2021-05-22 10:38:34 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n",
      "CasADi - 2021-05-22 10:38:35 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Cutting back alpha due to evaluation error\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CasADi - 2021-05-22 10:38:36 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Cutting back alpha due to evaluation error\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CasADi - 2021-05-22 10:38:37 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Cutting back alpha due to evaluation error\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CasADi - 2021-05-22 10:38:37 WARNING(\"solver:nlp_f failed:Error in Function::operator() for 'nlp_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Cutting back alpha due to evaluation error\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CasADi - 2021-05-22 10:38:38 WARNING(\"solver:nlp_grad_f failed:Error in Function::operator() for 'nlp_grad_f' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'adj1_gpr' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'adj1_gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for adj1_gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object adj1_gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Number of Iterations....: 14\n",
      "\n",
      "Number of objective function evaluations             = 578\n",
      "Number of objective gradient evaluations             = 15\n",
      "Number of equality constraint evaluations            = 0\n",
      "Number of inequality constraint evaluations          = 0\n",
      "Number of equality constraint Jacobian evaluations   = 0\n",
      "Number of inequality constraint Jacobian evaluations = 0\n",
      "Number of Lagrangian Hessian evaluations             = 0\n",
      "Total CPU secs in IPOPT (w/o function evaluations)   =      0.863\n",
      "Total CPU secs in NLP function evaluations           =     92.025\n",
      "\n",
      "EXIT: Invalid number in NLP function or derivative detected.\n",
      "      solver  :   t_proc      (avg)   t_wall      (avg)    n_eval\n",
      "       nlp_f  |  81.63 s (141.22ms)  45.29 s ( 78.36ms)       578\n",
      "    nlp_grad  |   1.33 s (  1.33 s) 445.02ms (445.02ms)         1\n",
      "  nlp_grad_f  |  12.81 s (800.63ms)   4.56 s (284.76ms)        16\n",
      "       total  |  95.80 s ( 95.80 s)  50.33 s ( 50.33 s)         1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "CasADi - 2021-05-22 10:38:38 WARNING(\"solver:nlp_grad failed:Error in Function::operator() for 'nlp_grad' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'adj1_gpr' [MXFunction] at .../casadi/core/function.cpp:1368:\n",
      "Error in Function::operator() for 'adj1_gpr' [CallbackInternal] at .../casadi/core/function.cpp:1368:\n",
      ".../casadi/core/function_internal.cpp:3366: Failed to evaluate 'eval_dm' for adj1_gpr:\n",
      ".../casadi/core/callback_internal.cpp:122: Error calling \"eval\" for object adj1_gpr:\n",
      "KeyboardInterrupt\") [.../casadi/core/oracle_function.cpp:223]\n",
      "CasADi - 2021-05-22 10:38:38 WARNING(\"Failed to calculate multipliers\") [.../casadi/core/nlpsol.cpp:621]\n"
     ]
    }
   ],
   "source": [
    "res = solver(lbx = -1, ubx = 1, p = real_p, x0 = -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DM([-0.977191, -0.975261, -0.971324, -0.969565, -0.997771])"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res['x']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": ".../casadi/core/function_internal.hpp:1257: Input 2 (i2) has mismatching shape. Got 9-by-1. Allowed dimensions, in general, are:\n - The input dimension N-by-M (here 1-by-7)\n - A scalar, i.e. 1-by-1\n - M-by-N if N=1 or M=1 (i.e. a transposed vector)\n - N-by-M1 if K*M1=M for some K (argument repeated horizontally)\n - N-by-P*M, indicating evaluation with multiple arguments (P must be a multiple of 1 for consistency with previous inputs)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-85-5cb9824f3aa2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mFf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreal_W\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mones\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mN_horizon\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreal_x0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/usr/lib/python3.9/site-packages/casadi/casadi.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   8495\u001b[0m       \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   8496\u001b[0m     \u001b[0;31m# Ordered inputs -> return tuple\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 8497\u001b[0;31m         \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   8498\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mret\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   8499\u001b[0m           \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.9/site-packages/casadi/casadi.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m   7677\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7678\u001b[0m         \"\"\"\n\u001b[0;32m-> 7679\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_casadi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFunction_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   7680\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7681\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mmapsum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;34m\"std::vector< casadi::MX,std::allocator< casadi::MX > >\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: .../casadi/core/function_internal.hpp:1257: Input 2 (i2) has mismatching shape. Got 9-by-1. Allowed dimensions, in general, are:\n - The input dimension N-by-M (here 1-by-7)\n - A scalar, i.e. 1-by-1\n - M-by-N if N=1 or M=1 (i.e. a transposed vector)\n - N-by-M1 if K*M1=M for some K (argument repeated horizontally)\n - N-by-P*M, indicating evaluation with multiple arguments (P must be a multiple of 1 for consistency with previous inputs)"
     ]
    }
   ],
   "source": [
    "Ff(real_W, np.ones((N_horizon, 1)), real_x0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Ff(real_W, res['x'], real_x0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cs.norm_2(ff(real_W, np.ones((N_horizon, 1)), real_x0) - T_set_sc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cs.norm_2(ff(real_W, res['x'], real_x0) - T_set_sc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "T_set"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multiple shooting problem formulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [],
   "source": [
    "N_horizon = 15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = cs.MX.sym(\"X\", N_horizon + 1, n_states)\n",
    "lbd = cs.MX.sym(\"lambda\")\n",
    "x0 = cs.MX.sym(\"x0\", 1, n_states)\n",
    "W = cs.MX.sym(\"W\", N_horizon, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = []\n",
    "lbg = []\n",
    "ubg = []\n",
    "\n",
    "lbx = -np.inf*np.ones(X.shape)\n",
    "ubx = np.inf*np.ones(X.shape)\n",
    "\n",
    "T_set_sc = 2.5\n",
    "##\n",
    "# Set up the opjective function\n",
    "##\n",
    "\n",
    "# stage cost\n",
    "u_cost = cs.dot(X[:, 2], X[:, 2])\n",
    "\n",
    "# temperature constraint\n",
    "y_cost = 0.01 * cs.dot(X[:, 4], X[:, 4])\n",
    "\n",
    "J = u_cost + y_cost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up equality constraints for the first step\n",
    "for idx in range(n_states):\n",
    "    g.append(X[0, idx] - x0[0, idx])\n",
    "    lbg.append(0)\n",
    "    ubg.append(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up equality constraints for the following steps\n",
    "for idx in range(1, N_horizon + 1):\n",
    "    base_col = 0\n",
    "    # w\n",
    "    nb_cols = dict_cols['w'][0]\n",
    "    for w_idx in range(W.shape[1]):\n",
    "        w_base_col = w_idx * nb_cols\n",
    "        g.append(X[idx, base_col + w_base_col] - W[idx - 1, w_idx])\n",
    "        lbg.append(0)\n",
    "        ubg.append(0)\n",
    "        for w_lag_idx in range(1, nb_cols):\n",
    "            g.append(X[idx, base_col + w_base_col + w_lag_idx] - X[idx - 1, base_col + w_base_col + w_lag_idx - 1])\n",
    "            lbg.append(0)\n",
    "            ubg.append(0)\n",
    "            \n",
    "    base_col += nb_cols * W.shape[1]\n",
    "    # u\n",
    "    nb_cols = dict_cols['u'][0]\n",
    "\n",
    "    lbx[idx, base_col] = -1 #lower bound on input\n",
    "    ubx[idx, base_col] = 1 #upper bound on input\n",
    "    for u_lag_idx in range(1, nb_cols):\n",
    "        g.append(X[idx, base_col + u_lag_idx] - X[idx - 1, base_col + u_lag_idx - 1])\n",
    "        lbg.append(0)\n",
    "        ubg.append(0)\n",
    "    \n",
    "    base_col += nb_cols\n",
    "    # y\n",
    "    nb_cols = dict_cols['y'][0]\n",
    "    g.append(X[idx, base_col] - cs_model(X[idx - 1, :]))\n",
    "    lbg.append(0)\n",
    "    ubg.append(0)\n",
    "    for y_lag_idx in range(1, nb_cols):\n",
    "        g.append(X[idx, base_col + y_lag_idx] - X[idx - 1, base_col + y_lag_idx - 1])\n",
    "        lbg.append(0)\n",
    "        ubg.append(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = cs.vertcat(cs.vec(W), cs.vec(x0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [],
   "source": [
    "prob = {'f': J, 'x': cs.vec(X), 'g': cs.vertcat(*g), 'p': p}\n",
    "options = {\"ipopt\": {\"hessian_approximation\": \"limited-memory\", \"max_iter\": 100,\n",
    "                     #\"acceptable_tol\": 1e-6, \"tol\": 1e-6,\n",
    "                     \"linear_solver\": \"ma97\",\n",
    "                     #\"acceptable_obj_change_tol\": 1e-5, \n",
    "                     #\"mu_strategy\": \"adaptive\",\n",
    "                    }}\n",
    "solver = cs.nlpsol(\"solver\",\"ipopt\",prob, options)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.86012651, 0.95626129, 0.45825487, 0.22661711, 0.18875246,\n",
       "        0.37888797, 0.50460262]])"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_x0 = np.random.rand(*x0.shape)\n",
    "real_x0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.99500505, 0.98441887],\n",
       "       [0.97592386, 0.84418797],\n",
       "       [0.71078995, 0.60759562],\n",
       "       [0.8453497 , 0.90601194],\n",
       "       [0.61088361, 0.22822987],\n",
       "       [0.4715091 , 0.63980811],\n",
       "       [0.86056876, 0.94931176],\n",
       "       [0.68535098, 0.09049112],\n",
       "       [0.47124395, 0.71801702],\n",
       "       [0.70271526, 0.24253517],\n",
       "       [0.90092676, 0.22352921],\n",
       "       [0.10499574, 0.93066614],\n",
       "       [0.94354965, 0.88045902],\n",
       "       [0.27451341, 0.73862172],\n",
       "       [0.26057742, 0.82322702]])"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_W = np.random.rand(*W.shape)\n",
    "real_W"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [],
   "source": [
    "real_p = cs.vertcat(cs.vec(real_W), cs.vec(real_x0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is Ipopt version 3.13.4, running with linear solver ma97.\n",
      "\n",
      "Number of nonzeros in equality constraint Jacobian...:      247\n",
      "Number of nonzeros in inequality constraint Jacobian.:        0\n",
      "Number of nonzeros in Lagrangian Hessian.............:        0\n",
      "\n",
      "Total number of variables............................:      112\n",
      "                     variables with only lower bounds:        0\n",
      "                variables with lower and upper bounds:       15\n",
      "                     variables with only upper bounds:        0\n",
      "Total number of equality constraints.................:       97\n",
      "Total number of inequality constraints...............:        0\n",
      "        inequality constraints with only lower bounds:        0\n",
      "   inequality constraints with lower and upper bounds:        0\n",
      "        inequality constraints with only upper bounds:        0\n",
      "\n",
      "iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls\n",
      "   0  0.0000000e+00 9.95e-01 0.00e+00   0.0 0.00e+00    -  0.00e+00 0.00e+00   0\n",
      "   1  3.1436239e+00 1.83e-02 1.19e+00  -6.0 9.95e-01    -  8.80e-01 1.00e+00h  1\n",
      "   2  2.9694865e+00 8.72e-04 4.20e-01  -1.7 2.35e-01    -  9.96e-01 1.00e+00f  1\n",
      "   3  2.8458158e+00 1.97e-04 2.65e-02  -2.1 1.49e-01    -  9.84e-01 1.00e+00f  1\n",
      "   4  2.8407631e+00 1.06e-06 2.79e-03  -4.2 6.58e-03    -  9.97e-01 1.00e+00h  1\n",
      "   5  2.8407380e+00 1.70e-08 5.43e-06  -6.2 1.48e-04    -  1.00e+00 1.00e+00h  1\n",
      "   6  2.8407379e+00 5.06e-10 3.44e-07 -11.0 6.08e-06    -  1.00e+00 1.00e+00h  1\n",
      "   7  2.8407379e+00 1.66e-11 8.30e-09 -11.0 3.48e-07    -  1.00e+00 1.00e+00h  1\n",
      "\n",
      "Number of Iterations....: 7\n",
      "\n",
      "                                   (scaled)                 (unscaled)\n",
      "Objective...............:   2.8407378614870042e+00    2.8407378614870042e+00\n",
      "Dual infeasibility......:   8.2970022102779595e-09    8.2970022102779595e-09\n",
      "Constraint violation....:   1.6572743177789562e-11    1.6572743177789562e-11\n",
      "Complementarity.........:   1.0000000053108554e-11    1.0000000053108554e-11\n",
      "Overall NLP error.......:   8.2970022102779595e-09    8.2970022102779595e-09\n",
      "\n",
      "\n",
      "Number of objective function evaluations             = 8\n",
      "Number of objective gradient evaluations             = 8\n",
      "Number of equality constraint evaluations            = 8\n",
      "Number of inequality constraint evaluations          = 0\n",
      "Number of equality constraint Jacobian evaluations   = 8\n",
      "Number of inequality constraint Jacobian evaluations = 0\n",
      "Number of Lagrangian Hessian evaluations             = 0\n",
      "Total CPU secs in IPOPT (w/o function evaluations)   =      1.157\n",
      "Total CPU secs in NLP function evaluations           =     25.426\n",
      "\n",
      "EXIT: Optimal Solution Found.\n",
      "      solver  :   t_proc      (avg)   t_wall      (avg)    n_eval\n",
      "       nlp_f  |  40.00us (  5.00us)  37.53us (  4.69us)         8\n",
      "       nlp_g  |   3.24 s (405.17ms)   1.65 s (206.82ms)         8\n",
      "    nlp_grad  |   2.42 s (  2.42 s) 830.40ms (830.40ms)         1\n",
      "  nlp_grad_f  |  71.00us (  7.89us)  63.98us (  7.11us)         9\n",
      "   nlp_jac_g  |  25.53 s (  2.84 s)   9.56 s (  1.06 s)         9\n",
      "       total  |  31.25 s ( 31.25 s)  12.23 s ( 12.23 s)         1\n"
     ]
    }
   ],
   "source": [
    "res = solver(lbx = cs.vec(lbx), ubx = cs.vec(ubx), p = real_p, lbg = lbg, ubg = ubg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SolRad_1</th>\n",
       "      <th>OutsideTemp_1</th>\n",
       "      <th>SimulatedHeat_1</th>\n",
       "      <th>SimulatedHeat_2</th>\n",
       "      <th>SimulatedTemp_1</th>\n",
       "      <th>SimulatedTemp_2</th>\n",
       "      <th>SimulatedTemp_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.933665</td>\n",
       "      <td>0.530151</td>\n",
       "      <td>0.668810</td>\n",
       "      <td>0.067268</td>\n",
       "      <td>0.210537</td>\n",
       "      <td>0.229176</td>\n",
       "      <td>0.102786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.771653</td>\n",
       "      <td>0.409330</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.668810</td>\n",
       "      <td>0.357439</td>\n",
       "      <td>0.210537</td>\n",
       "      <td>0.229176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.766266</td>\n",
       "      <td>0.790886</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.454808</td>\n",
       "      <td>0.357439</td>\n",
       "      <td>0.210537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.498328</td>\n",
       "      <td>0.239956</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.485466</td>\n",
       "      <td>0.454808</td>\n",
       "      <td>0.357439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.834280</td>\n",
       "      <td>0.630368</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.515284</td>\n",
       "      <td>0.485466</td>\n",
       "      <td>0.454808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.543126</td>\n",
       "      <td>0.862253</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.537800</td>\n",
       "      <td>0.515284</td>\n",
       "      <td>0.485466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.470207</td>\n",
       "      <td>0.194792</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.572859</td>\n",
       "      <td>0.537800</td>\n",
       "      <td>0.515284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.593612</td>\n",
       "      <td>0.656472</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.600478</td>\n",
       "      <td>0.572859</td>\n",
       "      <td>0.537800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.010641</td>\n",
       "      <td>0.183945</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.628839</td>\n",
       "      <td>0.600478</td>\n",
       "      <td>0.572859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.704691</td>\n",
       "      <td>0.324476</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.647787</td>\n",
       "      <td>0.628839</td>\n",
       "      <td>0.600478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.440379</td>\n",
       "      <td>0.938686</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.672055</td>\n",
       "      <td>0.647787</td>\n",
       "      <td>0.628839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.782881</td>\n",
       "      <td>0.127700</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.703168</td>\n",
       "      <td>0.672055</td>\n",
       "      <td>0.647787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.055379</td>\n",
       "      <td>0.656304</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.725009</td>\n",
       "      <td>0.703168</td>\n",
       "      <td>0.672055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.185695</td>\n",
       "      <td>0.360169</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.754390</td>\n",
       "      <td>0.725009</td>\n",
       "      <td>0.703168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.765595</td>\n",
       "      <td>0.265881</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.776198</td>\n",
       "      <td>0.754390</td>\n",
       "      <td>0.725009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.699953</td>\n",
       "      <td>0.122479</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.794910</td>\n",
       "      <td>0.776198</td>\n",
       "      <td>0.754390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.782016</td>\n",
       "      <td>0.359942</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.815422</td>\n",
       "      <td>0.794910</td>\n",
       "      <td>0.776198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.923016</td>\n",
       "      <td>0.676894</td>\n",
       "      <td>0.884076</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.830255</td>\n",
       "      <td>0.815422</td>\n",
       "      <td>0.794910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.048149</td>\n",
       "      <td>0.543554</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.884076</td>\n",
       "      <td>0.800900</td>\n",
       "      <td>0.830255</td>\n",
       "      <td>0.815422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.740703</td>\n",
       "      <td>0.635663</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.847437</td>\n",
       "      <td>0.800900</td>\n",
       "      <td>0.830255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.135092</td>\n",
       "      <td>0.831435</td>\n",
       "      <td>0.995742</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.856111</td>\n",
       "      <td>0.847437</td>\n",
       "      <td>0.800900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.543102</td>\n",
       "      <td>0.222573</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.995742</td>\n",
       "      <td>0.880862</td>\n",
       "      <td>0.856111</td>\n",
       "      <td>0.847437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.547203</td>\n",
       "      <td>0.291688</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.898690</td>\n",
       "      <td>0.880862</td>\n",
       "      <td>0.856111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.712024</td>\n",
       "      <td>0.804084</td>\n",
       "      <td>0.956714</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.914815</td>\n",
       "      <td>0.898690</td>\n",
       "      <td>0.880862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.663196</td>\n",
       "      <td>0.313527</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.956714</td>\n",
       "      <td>0.906516</td>\n",
       "      <td>0.914815</td>\n",
       "      <td>0.898690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.581853</td>\n",
       "      <td>0.773745</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.929672</td>\n",
       "      <td>0.906516</td>\n",
       "      <td>0.914815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.855001</td>\n",
       "      <td>0.625417</td>\n",
       "      <td>0.950360</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.937827</td>\n",
       "      <td>0.929672</td>\n",
       "      <td>0.906516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.153204</td>\n",
       "      <td>0.561581</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.950360</td>\n",
       "      <td>0.921438</td>\n",
       "      <td>0.937827</td>\n",
       "      <td>0.929672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.272141</td>\n",
       "      <td>0.427866</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.947065</td>\n",
       "      <td>0.921438</td>\n",
       "      <td>0.937827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.722333</td>\n",
       "      <td>0.711971</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.958821</td>\n",
       "      <td>0.947065</td>\n",
       "      <td>0.921438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.532891</td>\n",
       "      <td>0.668999</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.957578</td>\n",
       "      <td>0.958821</td>\n",
       "      <td>0.947065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.039409</td>\n",
       "      <td>0.737599</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.967467</td>\n",
       "      <td>0.957578</td>\n",
       "      <td>0.958821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.765481</td>\n",
       "      <td>0.876232</td>\n",
       "      <td>0.845345</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.981668</td>\n",
       "      <td>0.967467</td>\n",
       "      <td>0.957578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.486145</td>\n",
       "      <td>0.303541</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.845345</td>\n",
       "      <td>0.937262</td>\n",
       "      <td>0.981668</td>\n",
       "      <td>0.967467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.898249</td>\n",
       "      <td>0.801908</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.982335</td>\n",
       "      <td>0.937262</td>\n",
       "      <td>0.981668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.900184</td>\n",
       "      <td>0.744112</td>\n",
       "      <td>0.889566</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.957479</td>\n",
       "      <td>0.982335</td>\n",
       "      <td>0.937262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.504905</td>\n",
       "      <td>0.107898</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.889566</td>\n",
       "      <td>0.917117</td>\n",
       "      <td>0.957479</td>\n",
       "      <td>0.982335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.997414</td>\n",
       "      <td>0.502974</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.952778</td>\n",
       "      <td>0.917117</td>\n",
       "      <td>0.957479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.975410</td>\n",
       "      <td>0.714050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.936476</td>\n",
       "      <td>0.952778</td>\n",
       "      <td>0.917117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0.903513</td>\n",
       "      <td>0.593053</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.912736</td>\n",
       "      <td>0.936476</td>\n",
       "      <td>0.952778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.106133</td>\n",
       "      <td>0.569126</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.905583</td>\n",
       "      <td>0.912736</td>\n",
       "      <td>0.936476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.316616</td>\n",
       "      <td>0.843911</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.921958</td>\n",
       "      <td>0.905583</td>\n",
       "      <td>0.912736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.777423</td>\n",
       "      <td>0.437727</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.939762</td>\n",
       "      <td>0.921958</td>\n",
       "      <td>0.905583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.939833</td>\n",
       "      <td>0.364555</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.945145</td>\n",
       "      <td>0.939762</td>\n",
       "      <td>0.921958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>0.495423</td>\n",
       "      <td>0.217671</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.941447</td>\n",
       "      <td>0.945145</td>\n",
       "      <td>0.939762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>0.408650</td>\n",
       "      <td>0.765975</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.953623</td>\n",
       "      <td>0.941447</td>\n",
       "      <td>0.945145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>0.312336</td>\n",
       "      <td>0.251668</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.966615</td>\n",
       "      <td>0.953623</td>\n",
       "      <td>0.941447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.549841</td>\n",
       "      <td>0.941563</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.973326</td>\n",
       "      <td>0.966615</td>\n",
       "      <td>0.953623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.181751</td>\n",
       "      <td>0.439143</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.974959</td>\n",
       "      <td>0.973326</td>\n",
       "      <td>0.966615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.596714</td>\n",
       "      <td>0.541487</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.982683</td>\n",
       "      <td>0.974959</td>\n",
       "      <td>0.973326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.329681</td>\n",
       "      <td>0.521282</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.990006</td>\n",
       "      <td>0.982683</td>\n",
       "      <td>0.974959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    SolRad_1  OutsideTemp_1  SimulatedHeat_1  SimulatedHeat_2  \\\n",
       "0   0.933665       0.530151         0.668810         0.067268   \n",
       "1   0.771653       0.409330         1.000000         0.668810   \n",
       "2   0.766266       0.790886         1.000000         1.000000   \n",
       "3   0.498328       0.239956         1.000000         1.000000   \n",
       "4   0.834280       0.630368         1.000000         1.000000   \n",
       "5   0.543126       0.862253         1.000000         1.000000   \n",
       "6   0.470207       0.194792         1.000000         1.000000   \n",
       "7   0.593612       0.656472         1.000000         1.000000   \n",
       "8   0.010641       0.183945         1.000000         1.000000   \n",
       "9   0.704691       0.324476         1.000000         1.000000   \n",
       "10  0.440379       0.938686         1.000000         1.000000   \n",
       "11  0.782881       0.127700         1.000000         1.000000   \n",
       "12  0.055379       0.656304         1.000000         1.000000   \n",
       "13  0.185695       0.360169         1.000000         1.000000   \n",
       "14  0.765595       0.265881         1.000000         1.000000   \n",
       "15  0.699953       0.122479         1.000000         1.000000   \n",
       "16  0.782016       0.359942         1.000000         1.000000   \n",
       "17  0.923016       0.676894         0.884076         1.000000   \n",
       "18  0.048149       0.543554         1.000000         0.884076   \n",
       "19  0.740703       0.635663         1.000000         1.000000   \n",
       "20  0.135092       0.831435         0.995742         1.000000   \n",
       "21  0.543102       0.222573         1.000000         0.995742   \n",
       "22  0.547203       0.291688         1.000000         1.000000   \n",
       "23  0.712024       0.804084         0.956714         1.000000   \n",
       "24  0.663196       0.313527         1.000000         0.956714   \n",
       "25  0.581853       0.773745         1.000000         1.000000   \n",
       "26  0.855001       0.625417         0.950360         1.000000   \n",
       "27  0.153204       0.561581         1.000000         0.950360   \n",
       "28  0.272141       0.427866         1.000000         1.000000   \n",
       "29  0.722333       0.711971         1.000000         1.000000   \n",
       "30  0.532891       0.668999         1.000000         1.000000   \n",
       "31  0.039409       0.737599         1.000000         1.000000   \n",
       "32  0.765481       0.876232         0.845345         1.000000   \n",
       "33  0.486145       0.303541         1.000000         0.845345   \n",
       "34  0.898249       0.801908         1.000000         1.000000   \n",
       "35  0.900184       0.744112         0.889566         1.000000   \n",
       "36  0.504905       0.107898         1.000000         0.889566   \n",
       "37  0.997414       0.502974         1.000000         1.000000   \n",
       "38  0.975410       0.714050         1.000000         1.000000   \n",
       "39  0.903513       0.593053         1.000000         1.000000   \n",
       "40  0.106133       0.569126         1.000000         1.000000   \n",
       "41  0.316616       0.843911         1.000000         1.000000   \n",
       "42  0.777423       0.437727         1.000000         1.000000   \n",
       "43  0.939833       0.364555         1.000000         1.000000   \n",
       "44  0.495423       0.217671         1.000000         1.000000   \n",
       "45  0.408650       0.765975         1.000000         1.000000   \n",
       "46  0.312336       0.251668         1.000000         1.000000   \n",
       "47  0.549841       0.941563         1.000000         1.000000   \n",
       "48  0.181751       0.439143         1.000000         1.000000   \n",
       "49  0.596714       0.541487         1.000000         1.000000   \n",
       "50  0.329681       0.521282         0.000000         1.000000   \n",
       "\n",
       "    SimulatedTemp_1  SimulatedTemp_2  SimulatedTemp_3  \n",
       "0          0.210537         0.229176         0.102786  \n",
       "1          0.357439         0.210537         0.229176  \n",
       "2          0.454808         0.357439         0.210537  \n",
       "3          0.485466         0.454808         0.357439  \n",
       "4          0.515284         0.485466         0.454808  \n",
       "5          0.537800         0.515284         0.485466  \n",
       "6          0.572859         0.537800         0.515284  \n",
       "7          0.600478         0.572859         0.537800  \n",
       "8          0.628839         0.600478         0.572859  \n",
       "9          0.647787         0.628839         0.600478  \n",
       "10         0.672055         0.647787         0.628839  \n",
       "11         0.703168         0.672055         0.647787  \n",
       "12         0.725009         0.703168         0.672055  \n",
       "13         0.754390         0.725009         0.703168  \n",
       "14         0.776198         0.754390         0.725009  \n",
       "15         0.794910         0.776198         0.754390  \n",
       "16         0.815422         0.794910         0.776198  \n",
       "17         0.830255         0.815422         0.794910  \n",
       "18         0.800900         0.830255         0.815422  \n",
       "19         0.847437         0.800900         0.830255  \n",
       "20         0.856111         0.847437         0.800900  \n",
       "21         0.880862         0.856111         0.847437  \n",
       "22         0.898690         0.880862         0.856111  \n",
       "23         0.914815         0.898690         0.880862  \n",
       "24         0.906516         0.914815         0.898690  \n",
       "25         0.929672         0.906516         0.914815  \n",
       "26         0.937827         0.929672         0.906516  \n",
       "27         0.921438         0.937827         0.929672  \n",
       "28         0.947065         0.921438         0.937827  \n",
       "29         0.958821         0.947065         0.921438  \n",
       "30         0.957578         0.958821         0.947065  \n",
       "31         0.967467         0.957578         0.958821  \n",
       "32         0.981668         0.967467         0.957578  \n",
       "33         0.937262         0.981668         0.967467  \n",
       "34         0.982335         0.937262         0.981668  \n",
       "35         0.957479         0.982335         0.937262  \n",
       "36         0.917117         0.957479         0.982335  \n",
       "37         0.952778         0.917117         0.957479  \n",
       "38         0.936476         0.952778         0.917117  \n",
       "39         0.912736         0.936476         0.952778  \n",
       "40         0.905583         0.912736         0.936476  \n",
       "41         0.921958         0.905583         0.912736  \n",
       "42         0.939762         0.921958         0.905583  \n",
       "43         0.945145         0.939762         0.921958  \n",
       "44         0.941447         0.945145         0.939762  \n",
       "45         0.953623         0.941447         0.945145  \n",
       "46         0.966615         0.953623         0.941447  \n",
       "47         0.973326         0.966615         0.953623  \n",
       "48         0.974959         0.973326         0.966615  \n",
       "49         0.982683         0.974959         0.973326  \n",
       "50         0.990006         0.982683         0.974959  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np_res = np.array(res['x'].reshape(X.shape))\n",
    "pd.DataFrame(np_res, columns = df_input.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean, var = m.predict_f(np_res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "name": "Untitled3.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.9.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}