ind_ds.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Intersections Drone (InD) dataset\n",
    "\n",
    "The following tests contain the evaluation of Explainable Boosting Machines (EBM) on [InD](https://levelxdata.com/ind-dataset/) traffic forcasting dataset. \n",
    "Interestingly, without dense road network data (and with acceleration data), the model give 0.3 m of final error for 20 modes ([State-of-the-art](https://arxiv.org/abs/2204.11561) has the same error).\n",
    "\n",
    "The code assume existance of InD dataset files extracted in a neighbour folder."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Intelligible Pedestrians Destination Prediction with Additive Models "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "#from pygam import LinearGAM, s, f,l,te\n",
    "from utils import *\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "from interpret import show\n",
    "from interpret.glassbox import ExplainableBoostingRegressor\n",
    "\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "import glob,os\n",
    "%matplotlib inline\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "files_ids = [x for x in range(33)]\n",
    "root = './indds/'\n",
    "all_files = []\n",
    "all_meta_and_statics = []\n",
    "for x in files_ids:\n",
    "    idx = '{0:02d}'.format(x)\n",
    "    meta_info_file = os.path.join(root,f'{idx}_recordingMeta.csv')\n",
    "    file_ = os.path.join(root,f'{idx}_tracks.csv')\n",
    "    static_file = os.path.join(root,f'{idx}_tracksMeta.csv')\n",
    "\n",
    "    meta_info = pd.read_csv(meta_info_file)\n",
    "    static_ = pd.read_csv(static_file)\n",
    "\n",
    "    all_files.append(pd.read_csv(file_))\n",
    "    all_meta_and_statics.append((meta_info,static_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>recordingId</th>\n",
       "      <th>trackId</th>\n",
       "      <th>frame</th>\n",
       "      <th>trackLifetime</th>\n",
       "      <th>xCenter</th>\n",
       "      <th>yCenter</th>\n",
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       "      <th>length</th>\n",
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       "      <th>yAcceleration</th>\n",
       "      <th>lonVelocity</th>\n",
       "      <th>latVelocity</th>\n",
       "      <th>lonAcceleration</th>\n",
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       "      <td>131.90537</td>\n",
       "      <td>-32.99971</td>\n",
       "      <td>261.60869</td>\n",
       "      <td>1.87348</td>\n",
       "      <td>4.76888</td>\n",
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       "      <td>-8.44088</td>\n",
       "      <td>-0.13830</td>\n",
       "      <td>-0.24874</td>\n",
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       "      <td>1</td>\n",
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       "      <td>2.15288</td>\n",
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       "      <td>-0.56504</td>\n",
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       "      <td>0.38308</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193248 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        recordingId  trackId  frame  trackLifetime    xCenter   yCenter  \\\n",
       "0                 1        0      0              0  132.04457 -31.99325   \n",
       "1                 1        0      1              1  131.99811 -32.32607   \n",
       "2                 1        0      2              2  131.95175 -32.66156   \n",
       "3                 1        0      3              3  131.90537 -32.99971   \n",
       "4                 1        0      4              4  131.85674 -33.34127   \n",
       "...             ...      ...    ...            ...        ...       ...   \n",
       "193243            1      384  25803            163  127.82768 -52.71701   \n",
       "193244            1      384  25804            164  127.77067 -52.84447   \n",
       "193245            1      384  25805            165  127.71150 -52.97219   \n",
       "193246            1      384  25806            166  127.65147 -53.10000   \n",
       "193247            1      384  25807            167  127.59201 -53.22878   \n",
       "\n",
       "          heading    width   length  xVelocity  yVelocity  xAcceleration  \\\n",
       "0       261.76756  1.87348  4.76888   -1.21104   -8.36881       -0.12537   \n",
       "1       261.71362  1.87348  4.76888   -1.21586   -8.39354       -0.13030   \n",
       "2       261.66163  1.87348  4.76888   -1.22183   -8.41795       -0.13493   \n",
       "3       261.60869  1.87348  4.76888   -1.22902   -8.44088       -0.13830   \n",
       "4       261.55991  1.87348  4.76888   -1.23661   -8.46085       -0.13973   \n",
       "...           ...      ...      ...        ...        ...            ...   \n",
       "193243  248.49337  2.15288  5.00815   -1.41196   -3.12439       -0.56420   \n",
       "193244  248.23404  2.15288  5.00815   -1.43545   -3.14057       -0.56498   \n",
       "193245  247.96729  2.15288  5.00815   -1.45846   -3.15613       -0.56509   \n",
       "193246  247.70221  2.15288  5.00815   -1.48097   -3.17124       -0.56504   \n",
       "193247  247.43687  2.15288  5.00815   -1.50357   -3.18570       -0.56504   \n",
       "\n",
       "        yAcceleration  lonVelocity  latVelocity  lonAcceleration  \\\n",
       "0            -0.32349      8.45598      0.00024          0.33811   \n",
       "1            -0.31042      8.48115     -0.00652          0.32596   \n",
       "2            -0.28546      8.50615     -0.01185          0.30201   \n",
       "3            -0.24874      8.52987     -0.01594          0.26626   \n",
       "4            -0.20126      8.55072     -0.01862          0.21959   \n",
       "...               ...          ...          ...              ...   \n",
       "193243       -0.35718      3.42449      0.16823          0.53915   \n",
       "193244       -0.35995      3.44895      0.16854          0.54379   \n",
       "193245       -0.36119      3.47276      0.16797          0.54680   \n",
       "193246       -0.36152      3.49602      0.16700          0.54888   \n",
       "193247       -0.36152      3.51878      0.16613          0.55066   \n",
       "\n",
       "        latAcceleration  \n",
       "0               0.07776  \n",
       "1               0.08420  \n",
       "2               0.09211  \n",
       "3               0.10052  \n",
       "4               0.10868  \n",
       "...                 ...  \n",
       "193243          0.39398  \n",
       "193244          0.39122  \n",
       "193245          0.38832  \n",
       "193246          0.38562  \n",
       "193247          0.38308  \n",
       "\n",
       "[193248 rows x 17 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_files[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SDD like split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(196123, 72)\n",
      "(196123, 2)\n",
      "(2821, 72)\n",
      "(2821, 2)\n"
     ]
    }
   ],
   "source": [
    "in_tracks = []\n",
    "tracks = []\n",
    "classes_dict = {'pedestrian':0,\n",
    "                'bicycle':1,\n",
    "                'car':2,\n",
    "                'truck_bus':3}\n",
    "in_ = []\n",
    "all_tracks = []\n",
    "samples_in = 0\n",
    "Xs, Xs_test = [],[]\n",
    "ys, ys_test = [],[]\n",
    "trajs_full_len = 0\n",
    "\n",
    "for i in (files_ids):\n",
    "    useful_tracks = (all_meta_and_statics[i][1]['numFrames']>(25*8))*(all_meta_and_statics[i][1]['class']=='pedestrian')\n",
    "    in_tracks = all_meta_and_statics[i][1]['trackId'][useful_tracks].to_numpy().tolist()\n",
    "\n",
    "    ds = all_files[i].groupby('trackId')#['xCenter'].to_numpy()\n",
    "    for track_id, track_rows in ds:\n",
    "        if track_id in in_tracks:\n",
    "            track = track_rows.to_dict(orient=\"list\")\n",
    "            tracks.append(track)\n",
    "            #add as data point\n",
    "            in_ = [track[\"xCenter\"], track[\"yCenter\"],track[\"heading\"],track[\"xVelocity\"], track[\"yVelocity\"],\n",
    "             track[\"xAcceleration\"], track[\"yAcceleration\"], track[\"width\"], track[\"length\"]]#,[track_class]*len(track[\"xCenter\"])]\n",
    "            track_array = np.array(in_).T[::10,:] # 25 equal 1s, then 10 equal 400ms\n",
    "\n",
    "            # rotation\n",
    "\n",
    "            samples_in += 1\n",
    "            for ii in range(track_array.shape[0]-20):\n",
    "                X = track_array[(ii):(ii+8),:].copy()#+4\n",
    "                c, s = np.cos(-X[-1,2]*np.pi/180), np.sin(-X[-1,2]*np.pi/180)\n",
    "                R_mat = np.array([[c, -s], [s, c]])\n",
    "                \n",
    "                out = (track_array[(ii+19):(ii+20),:2] - X[-1:,:2]).copy()\n",
    "                X[:,:2] -= X[-1:,:2]\n",
    "\n",
    "                # rotate positions\n",
    "                X[:,:2] = (R_mat @ X[:,:2].T).T\n",
    "                \n",
    "                # ===== speed and acc\n",
    "                X[:,3:5] = (R_mat @ X[:,3:5].T).T\n",
    "                X[:,5:7] = (R_mat @ X[:,5:7].T).T\n",
    "                \n",
    "\n",
    "                out[0,:2] = R_mat @ out[0,:2]\n",
    "                y = out.copy()#[:,:2]\n",
    "                if i<30:# 80% data\n",
    "                    Xs.append(X[:,:].flatten())\n",
    "                    ys.append(y)\n",
    "                else:\n",
    "                    Xs_test.append(X[:,:].flatten())\n",
    "                    ys_test.append(y)\n",
    "\n",
    "\n",
    "Xs = np.vstack(Xs)\n",
    "ys = np.vstack(ys)\n",
    "Xs_test = np.vstack(Xs_test)\n",
    "ys_test = np.vstack(ys_test)\n",
    "print(Xs.shape)\n",
    "print(ys.shape)\n",
    "print(Xs_test.shape)\n",
    "print(ys_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Format\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "yx_all = np.hstack((ys,Xs))\n",
    "yx_test_all = np.hstack((ys_test,Xs_test))\n",
    "np.save('ind_train.npy',yx_all)\n",
    "np.save('ind_test.npy',yx_test_all)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Save or load saved"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "if os.path.isfile('ind_train.npy'):\n",
    "    yx_all = np.load('ind_train.npy')\n",
    "    yx_test_all = np.load('ind_test.npy')\n",
    "else:\n",
    "    np.save('ind_train.npy',yx_all)\n",
    "    np.save('ind_test.npy',yx_test_all)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Normlize features\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\yasin\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1416: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n"
     ]
    }
   ],
   "source": [
    "use_kmeans = True\n",
    "if use_kmeans:\n",
    "    modes_n = 50\n",
    "    clusterer = KMeans(n_clusters=modes_n,random_state=42).fit(yx_all[:,:2])#,n_init=10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sub_modes = []\n",
    "if use_kmeans:\n",
    "    plt.figure(figsize=(12,5))\n",
    "    plt.subplot(122)\n",
    "    for i in range(modes_n):\n",
    "        cluster_i = (clusterer.labels_==i)\n",
    "        sub_modes.append(yx_all[cluster_i])\n",
    "        color = np.array([[np.random.rand() for _  in range(3)]])\n",
    "        plt.scatter(yx_all[cluster_i][:,0],yx_all[cluster_i][:,1],c=color,marker='.',linewidths=0.001)\n",
    "    plt.title(f'Clustering the targert points into {modes_n} modes')\n",
    "    plt.subplot(121)\n",
    "    plt.scatter(yx_all[:,0],yx_all[:,1],marker='.',linewidths=0.001)\n",
    "    plt.title('Traget points after 4.8 seconds')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not(use_kmeans):\n",
    "    x_ranges = 9\n",
    "    yx_sorted_x = sorted(yx_all,key=lambda x: x[0])\n",
    "    single_len = (len(yx_sorted_x)//x_ranges)+(x_ranges-1)\n",
    "    print(single_len)\n",
    "    sub_modes_x = [yx_sorted_x[(i*single_len):(i+1)*single_len] for i in range(x_ranges)]\n",
    "    \n",
    "    y_ranges = 4\n",
    "    sub_modes = []\n",
    "    for sub_mode_x in sub_modes_x:\n",
    "        yx_sorted_y = sorted(sub_mode_x,key=lambda x: x[1])\n",
    "        single_len = (len(yx_sorted_y)//y_ranges)+(y_ranges-1)\n",
    "        sub_modes.extend([np.array(yx_sorted_y[(i*single_len):(i+1)*single_len]) for i in range(y_ranges)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not(use_kmeans):\n",
    "    plt.scatter(ys[:,0],ys[:,1],marker='.',linewidths=0.01)\n",
    "    yx_range = [-20,25]\n",
    "    for i,sub_mode_x in enumerate(sub_modes_x):#x\n",
    "        sub_mode = np.array(sub_mode_x)\n",
    "        xmin,xmax = sub_mode[:,0].min(),sub_mode[:,0].max()\n",
    "\n",
    "        if i == 0:\n",
    "            plt.plot([xmin,xmin],yx_range,'k',linewidth=1)\n",
    "        plt.plot([xmax,xmax],yx_range,'k',linewidth=1)\n",
    "        #print([xmin,xmax])\n",
    "        offset = i*y_ranges\n",
    "        for j in range(y_ranges):\n",
    "            mode = sub_modes[offset+j]\n",
    "            #print(len(mode))\n",
    "            if len(mode)==0:\n",
    "                continue\n",
    "            ymin,ymax = mode[:,1].min(),mode[:,1].max()\n",
    "            #print(ymin,ymax)\n",
    "            if j==0:\n",
    "                plt.plot([xmin,xmax],[ymin,ymin],'k',linewidth=1)\n",
    "            plt.plot([xmin,xmax],[ymax,ymax],'k',linewidth=1)\n",
    "            #print(len(mode))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "done training on x axis\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\yasin\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\interpret\\glassbox\\_ebm\\_json.py:312: UserWarning: JSON formats are in beta. The JSON format may change in a future version without compatibility between releases.\n",
      "  warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "done training on y axis\n"
     ]
    }
   ],
   "source": [
    "\n",
    "f_names = []\n",
    "for ii in range(8):\n",
    "    for f in [\"xCenter\",\"yCenter\",\"heading\",\"xVelocity\",\"yVelocity\",\"xAcceleration\",\"yAcceleration\",\"width\",\"length\"]:#,'track_class']:\n",
    "        f_names.append(f'{f}_{ii}')\n",
    "\n",
    "if os.path.isfile('ind_gam_allx_') :\n",
    "    gam_allx = ExplainableBoostingRegressor()._from_json('ind_gam_allx_')\n",
    "    gam_ally = ExplainableBoostingRegressor()._from_json('ind_gam_ally_')\n",
    "else:\n",
    "    gam_allx = ExplainableBoostingRegressor(feature_names=f_names).fit(yx_all[:,2:],yx_all[:,0])\n",
    "    print('done training on x axis')\n",
    "    gam_allx.to_json('ind_gam_allx_')\n",
    "    gam_ally = ExplainableBoostingRegressor(feature_names=f_names).fit(yx_all[:,2:],yx_all[:,1])\n",
    "    print('done training on y axis')\n",
    "    gam_ally.to_json('ind_gam_ally_')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MinFDEx\n",
      "all error: 0.4156499327078481\n"
     ]
    }
   ],
   "source": [
    "errorsx = abs(gam_allx.predict(yx_test_all[:,2:])-yx_test_all[:,0]) \n",
    "\n",
    "print('MinFDEx')\n",
    "print(f'all error: {errorsx.mean()}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MinFDEx\n",
      "all error: 0.47749003160385883\n"
     ]
    }
   ],
   "source": [
    "errorsy = abs(gam_ally.predict(yx_test_all[:,2:])-yx_test_all[:,1]) \n",
    "\n",
    "print('MinFDEx')\n",
    "print(f'all error: {errorsy.mean()}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final error: 0.6330573408792388\n"
     ]
    }
   ],
   "source": [
    "print(f'final error: {np.linalg.norm([errorsx.mean(),errorsy.mean()])}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<!-- http://127.0.0.1:7001/1645544090816/ -->\n",
       "<a href=\"http://127.0.0.1:7001/1645544090816/\" target=\"_new\">Open in new window</a><iframe src=\"http://127.0.0.1:7001/1645544090816/\" width=100% height=800 frameBorder=\"0\"></iframe>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "global_ex_x  = gam_allx.explain_global()\n",
    "global_ex_y  = gam_ally.explain_global()\n",
    "\n",
    "local_ex_x = gam_allx.explain_local(yx_test_all[:10,2:])\n",
    "local_ex_y = gam_ally.explain_local(yx_test_all[:10,2:])\n",
    "\n",
    "show([global_ex_x,local_ex_x])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train GAMx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mode 0 trained\n",
      "mode 1 trained\n",
      "mode 2 trained\n",
      "mode 3 trained\n",
      "mode 4 trained\n",
      "mode 5 trained\n",
      "mode 6 trained\n",
      "mode 7 trained\n",
      "mode 8 trained\n",
      "mode 9 trained\n",
      "mode 10 trained\n",
      "mode 11 trained\n",
      "mode 12 trained\n",
      "mode 13 trained\n",
      "mode 14 trained\n",
      "mode 15 trained\n",
      "mode 16 trained\n",
      "mode 17 trained\n",
      "mode 18 trained\n",
      "mode 19 trained\n",
      "mode 20 trained\n",
      "mode 21 trained\n",
      "mode 22 trained\n",
      "mode 23 trained\n",
      "mode 24 trained\n",
      "mode 25 trained\n",
      "mode 26 trained\n",
      "mode 27 trained\n",
      "mode 28 trained\n",
      "mode 29 trained\n",
      "mode 30 trained\n",
      "mode 31 trained\n",
      "mode 32 trained\n",
      "mode 33 trained\n",
      "mode 34 trained\n",
      "mode 35 trained\n",
      "mode 36 trained\n",
      "mode 37 trained\n",
      "mode 38 trained\n",
      "mode 39 trained\n",
      "mode 40 trained\n",
      "mode 41 trained\n",
      "mode 42 trained\n",
      "mode 43 trained\n",
      "mode 44 trained\n",
      "mode 45 trained\n",
      "mode 46 trained\n",
      "mode 47 trained\n",
      "mode 48 trained\n",
      "mode 49 trained\n"
     ]
    }
   ],
   "source": [
    "GAMs_x = []\n",
    "for j,mode in enumerate(sub_modes):\n",
    "    if len(mode)==0: continue\n",
    "\n",
    "    gam = ExplainableBoostingRegressor(feature_names=f_names).fit(mode[:,2:],mode[:,0])\n",
    "\n",
    "    print(f'mode {j} trained')\n",
    "    GAMs_x.append(gam)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error for each single mode\n",
      "mode 0 error: 1.3356829136052581\n",
      "mode 1 error: 2.150607620946131\n",
      "mode 2 error: 6.422477508247345\n",
      "mode 3 error: 1.3304048207493697\n",
      "mode 4 error: 8.237086840216636\n",
      "mode 5 error: 1.4894231439073666\n",
      "mode 6 error: 2.048955168039811\n",
      "mode 7 error: 1.6972816395709436\n",
      "mode 8 error: 3.8414702777468994\n",
      "mode 9 error: 2.6743001024451423\n",
      "mode 10 error: 2.9538222530215177\n",
      "mode 11 error: 1.1835315384547505\n",
      "mode 12 error: 1.595154149705155\n",
      "mode 13 error: 4.265454519996721\n",
      "mode 14 error: 2.5394621771421053\n",
      "mode 15 error: 1.3051092431283728\n",
      "mode 16 error: 1.4750475473953373\n",
      "mode 17 error: 1.249742968445738\n",
      "mode 18 error: 14.58750384687752\n",
      "mode 19 error: 1.267826129028671\n",
      "mode 20 error: 1.4885917889091689\n",
      "mode 21 error: 4.741884845734719\n",
      "mode 22 error: 3.2457874209510194\n",
      "mode 23 error: 2.4825531786955977\n",
      "mode 24 error: 5.503261418774652\n",
      "mode 25 error: 2.7037883021173443\n",
      "mode 26 error: 1.248892707126096\n",
      "mode 27 error: 2.113098092953838\n",
      "mode 28 error: 8.673279965492515\n",
      "mode 29 error: 4.723615156936502\n",
      "mode 30 error: 1.5954411228496483\n",
      "mode 31 error: 1.355031616042211\n",
      "mode 32 error: 1.3217336547664793\n",
      "mode 33 error: 1.4612584036390737\n",
      "mode 34 error: 2.199779239879936\n",
      "mode 35 error: 5.049914382617169\n",
      "mode 36 error: 1.6159496624054757\n",
      "mode 37 error: 5.862103812128928\n",
      "mode 38 error: 1.2170924083067751\n",
      "mode 39 error: 1.7072043794354592\n",
      "mode 40 error: 1.6529585166768253\n",
      "mode 41 error: 2.05570882185505\n",
      "mode 42 error: 3.3861901559156946\n",
      "mode 43 error: 1.2943858345624795\n",
      "mode 44 error: 6.1432171213187505\n",
      "mode 45 error: 2.2361534100562297\n",
      "mode 46 error: 7.805784610245361\n",
      "mode 47 error: 7.905017553395754\n",
      "mode 48 error: 1.3387802585244295\n",
      "mode 49 error: 3.868759399499301\n",
      "MinFDEx\n",
      "0.05846945657780129\n"
     ]
    }
   ],
   "source": [
    "errors = [abs(gam_.predict(yx_test_all[:,2:])-yx_test_all[:,0]) for gam_ in GAMs_x]\n",
    "\n",
    "print('error for each single mode')\n",
    "for i,error in enumerate(errors):\n",
    "    print(f'mode {i} error: {error.mean()}')\n",
    "\n",
    "print('MinFDEx')\n",
    "min_errorsx=np.sort(np.vstack(tuple(errors)).T,axis=1)\n",
    "x_error = min_errorsx[:,0].mean()\n",
    "print(x_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mode 0 trained\n",
      "mode 1 trained\n",
      "mode 2 trained\n",
      "mode 3 trained\n",
      "mode 4 trained\n",
      "mode 5 trained\n",
      "mode 6 trained\n",
      "mode 7 trained\n",
      "mode 8 trained\n",
      "mode 9 trained\n",
      "mode 10 trained\n",
      "mode 11 trained\n",
      "mode 12 trained\n",
      "mode 13 trained\n",
      "mode 14 trained\n",
      "mode 15 trained\n",
      "mode 16 trained\n",
      "mode 17 trained\n",
      "mode 18 trained\n",
      "mode 19 trained\n",
      "mode 20 trained\n",
      "mode 21 trained\n",
      "mode 22 trained\n",
      "mode 23 trained\n",
      "mode 24 trained\n",
      "mode 25 trained\n",
      "mode 26 trained\n",
      "mode 27 trained\n",
      "mode 28 trained\n",
      "mode 29 trained\n",
      "mode 30 trained\n",
      "mode 31 trained\n",
      "mode 32 trained\n",
      "mode 33 trained\n",
      "mode 34 trained\n",
      "mode 35 trained\n",
      "mode 36 trained\n",
      "mode 37 trained\n",
      "mode 38 trained\n",
      "mode 39 trained\n",
      "mode 40 trained\n",
      "mode 41 trained\n",
      "mode 42 trained\n",
      "mode 43 trained\n",
      "mode 44 trained\n",
      "mode 45 trained\n",
      "mode 46 trained\n",
      "mode 47 trained\n",
      "mode 48 trained\n",
      "mode 49 trained\n"
     ]
    }
   ],
   "source": [
    "GAMs_y = []\n",
    "for j,mode in enumerate(sub_modes):\n",
    "    if len(mode)==0: continue\n",
    "\n",
    "    gam = ExplainableBoostingRegressor(feature_names=f_names).fit(mode[:,2:],mode[:,1])\n",
    "\n",
    "    print(f'mode {j} trained')\n",
    "    GAMs_y.append(gam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error for each single mode\n",
      "mode 0 error: 1.372359299361439\n",
      "mode 1 error: 0.9184924217781949\n",
      "mode 2 error: 0.5138467003977777\n",
      "mode 3 error: 0.5658399914413523\n",
      "mode 4 error: 0.8590614678450819\n",
      "mode 5 error: 0.8772849914797816\n",
      "mode 6 error: 3.6419492728108964\n",
      "mode 7 error: 2.9676239184088087\n",
      "mode 8 error: 0.5148769600882973\n",
      "mode 9 error: 1.332841628773736\n",
      "mode 10 error: 0.5186389642717482\n",
      "mode 11 error: 1.6378237456466505\n",
      "mode 12 error: 0.8660457871188144\n",
      "mode 13 error: 5.126438872278729\n",
      "mode 14 error: 5.73248468164914\n",
      "mode 15 error: 0.7340245267374612\n",
      "mode 16 error: 2.5416873128636945\n",
      "mode 17 error: 1.2499424088057374\n",
      "mode 18 error: 1.3424472110760548\n",
      "mode 19 error: 0.928772187694616\n",
      "mode 20 error: 1.374275964892537\n",
      "mode 21 error: 0.50793590042533\n",
      "mode 22 error: 1.1033284721331238\n",
      "mode 23 error: 3.986207298165892\n",
      "mode 24 error: 0.8393222531647417\n",
      "mode 25 error: 1.6547851125175521\n",
      "mode 26 error: 3.471313511507635\n",
      "mode 27 error: 1.5243683158398333\n",
      "mode 28 error: 1.6287249577895937\n",
      "mode 29 error: 2.040003126450419\n",
      "mode 30 error: 0.7349661433226983\n",
      "mode 31 error: 0.6938095548364914\n",
      "mode 32 error: 2.363256035033227\n",
      "mode 33 error: 0.529992686404972\n",
      "mode 34 error: 2.170539794567461\n",
      "mode 35 error: 1.609393541323349\n",
      "mode 36 error: 2.3633178040667593\n",
      "mode 37 error: 2.819262287315699\n",
      "mode 38 error: 2.153517407730608\n",
      "mode 39 error: 0.5364896877876447\n",
      "mode 40 error: 1.8529685256851984\n",
      "mode 41 error: 0.5784514811899335\n",
      "mode 42 error: 0.6422443258323062\n",
      "mode 43 error: 0.5431480463310155\n",
      "mode 44 error: 9.893915171801488\n",
      "mode 45 error: 0.5892906439678558\n",
      "mode 46 error: 3.035426370842101\n",
      "mode 47 error: 2.351895361735787\n",
      "mode 48 error: 3.424394638830893\n",
      "mode 49 error: 4.102106171841762\n",
      "MinFDEx\n",
      "0.043848495228896535\n"
     ]
    }
   ],
   "source": [
    "errorsy = [abs(gam_.predict(yx_test_all[:,2:])-yx_test_all[:,1]) for gam_ in GAMs_y]\n",
    "\n",
    "print('error for each single mode')\n",
    "for i,error in enumerate(errorsy):\n",
    "    print(f'mode {i} error: {error.mean()}')\n",
    "\n",
    "print('MinFDEx')\n",
    "min_errorsy=np.sort(np.vstack(tuple(errorsy)).T,axis=1)\n",
    "y_error = min_errorsy[:,0].mean()\n",
    "print(y_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.28861062662364667\n"
     ]
    }
   ],
   "source": [
    "ecl_dists = [np.sqrt((err_x**2)+(err_y**2)) for err_x,err_y in zip(errors,errorsy)]\n",
    "min_errors_ecl=np.sort(np.vstack(tuple(ecl_dists)).T,axis=1)\n",
    "xy_error = min_errors_ecl[:,0].mean()\n",
    "print(xy_error)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Probability Prediction\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import stats\n",
    " \n",
    "def get_std(model):\n",
    "    all_devs = 0\n",
    "    for m in model.standard_deviations_:\n",
    "        if len(m.shape)>1:\n",
    "            all_devs += m.mean(axis=0).mean(axis=0)\n",
    "        else:\n",
    "            all_devs += m.mean(axis=0)\n",
    "    return all_devs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "loglikelihoods = []\n",
    "probs = []\n",
    "all_preds = []\n",
    "global_preds = []\n",
    "global_std = get_std(gam_allx)\n",
    "for m,gam in enumerate(GAMs_x):\n",
    "    predsx = gam.predict(yx_test_all[:,2:])\n",
    "    all_preds.append(predsx)\n",
    "    if len(global_preds):\n",
    "        pass\n",
    "    else:\n",
    "        global_preds = gam_allx.predict(yx_test_all[:,2:])\n",
    "    likely = stats.norm.logpdf(predsx,loc=global_preds,scale=global_std)\n",
    "    #likely += stats.norm.logpdf(predsx,loc=predsx,scale=get_std(gam))/5\n",
    "\n",
    "\n",
    "    loglikelihoods.append(likely)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "loglikelihoodsy = []\n",
    "all_predsy = []\n",
    "probs_y = []\n",
    "global_preds = []\n",
    "global_std = get_std(gam_ally)\n",
    "for m,gam in enumerate(GAMs_y):\n",
    "    predsy = gam.predict(yx_test_all[:,2:])\n",
    "    all_predsy.append(predsy)\n",
    "    \n",
    "    if len(global_preds)==0:\n",
    "        global_preds  =gam_ally.predict(yx_test_all[:,2:])\n",
    "    likely = stats.norm.logpdf(predsy,loc=global_preds,scale=global_std)\n",
    "    #likely += stats.norm.logpdf(predsy,loc=predsy,scale=get_std(gam))/2\n",
    "\n",
    "    \n",
    "    loglikelihoodsy.append(likely)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.07614431538162107\n",
      "0.07592834574868382\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.30337773884395114"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "n_hoods = np.nan_to_num(np.array(loglikelihoodsy)+np.array(loglikelihoods)*1,nan=-np.inf)\n",
    "n_hoods_sorted = np.sort(n_hoods.T,axis=1)\n",
    "top_6y = []\n",
    "for j in range(20):\n",
    "    A = n_hoods_sorted[:,-1-j]\n",
    "    pred = np.array(all_predsy).T[(n_hoods.T == A[:,None])]\n",
    "    top_6y.append(pred)\n",
    "    \n",
    "print(np.sort(abs(np.array(top_6y).T-yx_test_all[:,1:2]),axis=1)[:,0].mean())\n",
    "\n",
    "top_6 = []\n",
    "for j in range(20):\n",
    "    A = n_hoods_sorted[:,-1-j]\n",
    "    pred = np.array(all_preds).T[(n_hoods.T == A[:,None])]\n",
    "    top_6.append(pred)\n",
    "    \n",
    "print(np.sort(abs(np.array(top_6).T-yx_test_all[:,:1]),axis=1)[:,0].mean())\n",
    "\n",
    "FDE_errors = np.sqrt((np.array(top_6).T - yx_test_all[:,:1])**2 + (np.array(top_6y).T - yx_test_all[:,1:2])**2)\n",
    "np.sort(FDE_errors,axis=1)[:,0].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Global explanation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2800x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scores = global_ex_x.data()['scores'][0:]\n",
    "names_ = global_ex_x.data()['names'][0:]\n",
    "names = [['',n][bool(scores[i])] for i,n in enumerate(names_)]\n",
    "\n",
    "plt.figure(figsize=(28,9))\n",
    "\n",
    "plt.subplot(211)\n",
    "plt.bar(range(0,len(scores)*10,10),scores,width=7,align='center')\n",
    "plt.xticks(np.arange(0,len(scores)*10,10),names,rotation=90)\n",
    "plt.xlim(0,len(scores)*10)\n",
    "plt.yticks(rotation=45)\n",
    "plt.ylabel(f'Scores for x (Intercept: {np.round(gam_allx.intercept_,2)})')\n",
    "plt.title('Features Average Importance on X')\n",
    "\n",
    "\n",
    "scores = global_ex_y.data()['scores'][0:]\n",
    "names = global_ex_y.data()['names'][0:]\n",
    "\n",
    "plt.subplot(212)\n",
    "plt.bar(range(0,len(scores)*10,10),scores,width=7,align='center')\n",
    "plt.xticks(np.arange(0,len(scores)*10,10),names,rotation=90)\n",
    "plt.xlim(0,len(scores)*10)\n",
    "plt.yticks(rotation=45)\n",
    "plt.ylabel(f'Scores for Y (Intercept: {np.round(gam_ally.intercept_,2)})')\n",
    "plt.title('Features Average Importance on Y')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Best 6 Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "names = global_ex_x.data()['names']\n",
    "scores = global_ex_x.data()['scores']\n",
    "\n",
    "best_6_mask = scores>(np.sort(scores)[-7])\n",
    "p_in = 1\n",
    "plt.figure(figsize=(18,8))\n",
    "sigma_factor = 3\n",
    "for k_i in np.arange(len(scores))[best_6_mask]:\n",
    "    f_dict = global_ex_x.data(key=k_i)\n",
    "    x_data = f_dict['names'][:-1]\n",
    "    y_data = f_dict['scores']\n",
    "    up_data = f_dict['upper_bounds']\n",
    "    up_data_m = sigma_factor*(up_data-y_data) + y_data\n",
    "    low_data = f_dict['lower_bounds']\n",
    "    low_data_m = sigma_factor*(low_data-y_data) + y_data\n",
    "    ax = plt.subplot(2,3,p_in)\n",
    "    p_in += 1\n",
    "    plt.plot(x_data,y_data)\n",
    "    #plt.plot(x_data,up_data_m ,c='r',ls='--')\n",
    "    #plt.plot(x_data,low_data_m,c='r',ls='--')\n",
    "    plt.xlabel(names[k_i],labelpad=0.5)\n",
    "    plt.ylabel(\"scores\",labelpad=0.1)\n",
    "    \n",
    "    ax.plot(x_data, low_data_m, color='tab:green', alpha=0.1)\n",
    "    ax.plot(x_data, up_data_m, color='tab:green', alpha=0.1)\n",
    "    ax.fill_between(x_data, low_data_m, up_data_m,color='tab:green', alpha=0.2)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.spines['right'].set_visible(False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<!-- http://127.0.0.1:7001/1648431676384/ -->\n",
       "<iframe src=\"http://127.0.0.1:7001/1648431676384/\" width=100% height=800 frameBorder=\"0\"></iframe>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(global_ex_x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explanation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<!-- http://127.0.0.1:7001/1647569922192/ -->\n",
       "<iframe src=\"http://127.0.0.1:7001/1647569922192/\" width=100% height=800 frameBorder=\"0\"></iframe>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "local_ex = gam_allx.explain_local(yx_test_all[:10,2:],yx_test_all[:10,0])\n",
    "show(local_ex)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Best Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_all_modes(input_arr):\n",
    "    \n",
    "    out = []\n",
    "    for gamx,gamy in zip(GAMs_x,GAMs_y):\n",
    "        \n",
    "        out.append([gamx.predict(input_arr)[0],gamy.predict(input_arr)[0]])\n",
    "    return np.array(out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\yasin\\AppData\\Local\\Temp\\ipykernel_67644\\1614058608.py:39: DeprecationWarning:\n",
      "\n",
      "In future, it will be an error for 'np.bool_' scalars to be interpreted as an index\n",
      "\n",
      "C:\\Users\\yasin\\AppData\\Local\\Temp\\ipykernel_67644\\1614058608.py:53: DeprecationWarning:\n",
      "\n",
      "In future, it will be an error for 'np.bool_' scalars to be interpreted as an index\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "key_ = 100\n",
    "\n",
    "pred_20 = get_all_modes(yx_test_all[key_,2:])\n",
    "best_mode = np.linalg.norm(pred_20 - yx_test_all[key_,:2],axis=1).argmin()\n",
    "local_ex_x_mode = GAMs_x[best_mode].explain_local(yx_test_all[:key_+2,2:])\n",
    "local_ex_y_mode = GAMs_y[best_mode].explain_local(yx_test_all[:key_+2,2:])\n",
    "\n",
    "data_x = local_ex_x_mode.data(key=key_)\n",
    "data_y = local_ex_y_mode.data(key=key_)\n",
    "names = data_x['names']\n",
    "input_data = [[],[]]\n",
    "\n",
    "# draw input \n",
    "for s_ in range(8):\n",
    "    f_ind_x = names.index(f'xCenter_{s_}')\n",
    "    f_ind_y = names.index(f'yCenter_{s_}')\n",
    "    input_data[0].append(data_x['values'][f_ind_x])\n",
    "    input_data[1].append(data_x['values'][f_ind_y])\n",
    "    \n",
    "plt.figure(figsize=(20,5))\n",
    "plt.title(f'global models ex {key_}')\n",
    "plt.subplot(131)\n",
    "plt.plot((input_data[0]),input_data[1],label='input')\n",
    "#draw output\n",
    "plt.plot(data_x['perf']['predicted'],data_y['perf']['predicted'],marker='x',color='r',label='predicted')\n",
    "plt.plot(yx_test_all[key_,0],yx_test_all[key_,1],marker='x',color='k',label='ground truth')\n",
    "plt.legend()\n",
    "plt.ylim([-1,1])\n",
    "plt.title('Input data and the closest mode prediction')\n",
    "plt.axis('square')\n",
    "\n",
    "#plt.show()\n",
    "\n",
    "plt.subplot(132)\n",
    "#draw best 10 amounts to x\n",
    "scores = np.array(data_x['scores'])\n",
    "mask_best_6 = np.sort(np.abs(scores))[-11]<np.abs(scores)\n",
    "\n",
    "plt.bar(range(0,len(scores[mask_best_6])*10,10),scores[mask_best_6],width=5,align='center',color=[['r','b'][x>0] for x in scores[mask_best_6]])\n",
    "plt.xticks(np.arange(0,len(scores[mask_best_6])*10,10),np.array(names)[mask_best_6],rotation=80)\n",
    "plt.xlim(0,len(scores[mask_best_6])*10)\n",
    "plt.yticks(rotation=45)\n",
    "plt.ylabel('Feature Mean Importance for x')\n",
    "plt.title(f'Feature weight for x (Intercept {np.round(data_x[\"extra\"][\"scores\"][0],decimals=2)})')\n",
    "#plt.ylim([-1,1])\n",
    "#plt.show()\n",
    "\n",
    "plt.subplot(133)\n",
    "#draw best 10 amounts to y\n",
    "scores = np.array(data_y['scores'])\n",
    "mask_best_6 = np.sort(np.abs(scores))[-11]<np.abs(scores)\n",
    "\n",
    "plt.bar(range(0,len(scores[mask_best_6])*10,10),scores[mask_best_6],width=5,align='center',color=[['r','b'][x>0] for x in scores[mask_best_6]])\n",
    "plt.xticks(np.arange(0,len(scores[mask_best_6])*10,10),np.array(names)[mask_best_6],rotation=80)\n",
    "plt.xlim(0,len(scores[mask_best_6])*10)\n",
    "plt.yticks(rotation=45)\n",
    "plt.ylabel('Feature Mean Importance for y ')\n",
    "plt.title(f'Features weight for y (Intercept {np.round(data_y[\"extra\"][\"scores\"][-1],decimals=2)})')\n",
    "#plt.ylim([-1,1])\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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