F1_Quali_Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# !pip install odfpy\n",
    "# !pip install fastf1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#IMPORTS\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "pd.options.mode.chained_assignment = \"warn\" # default='warn'\n",
    "import math\n",
    "import itertools\n",
    "import statistics\n",
    "import shap\n",
    "\n",
    "import gc\n",
    "\n",
    "import fastf1 as ff1\n",
    "from fastf1 import plotting\n",
    "from fastf1.core import Laps\n",
    "from fastf1 import utils\n",
    "#from datetime import timedelta\n",
    "\n",
    "#from timple.timedelta import strftimedelta\n",
    "import os\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib.pyplot import figure\n",
    "from matplotlib import pyplot\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "from sklearn.metrics import confusion_matrix, classification_report\n",
    "from sklearn.metrics import mean_squared_error, r2_score, max_error, mean_absolute_error, median_absolute_error\n",
    "\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import OneHotEncoder, StandardScaler, LabelEncoder, PolynomialFeatures\n",
    "\n",
    "from sklearn.datasets import make_regression\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "\n",
    "from sklearn import linear_model\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "# import tensorflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#used for initial tests\n",
    "def get_acc(real, pred):\n",
    "    abs_diff_list = []\n",
    "    abs_diff = {\"avg\": 0, \"<0.1\": 0, \"<0.25\": 0, \"<0.5\":0, \"<1\": 0, \">=1\": 0}\n",
    "    \n",
    "    proc_diff_list = []\n",
    "    proc_diff = {\"avg%\": 0, \"<0.1%\":0, \"<0.25%\":0, \"<0.5%\":0, \"<1%\": 0, \"<2.5%\": 0, \">=2.5%\": 0}\n",
    "\n",
    "    total_diff = 0\n",
    "    total_proc_diff = 0\n",
    "    \n",
    "    for i in range(len(real)):\n",
    "        diff = abs(real[i]-pred[i])\n",
    "          \n",
    "        abs_diff_list.append(diff)\n",
    "        total_diff += diff\n",
    "        \n",
    "        if diff < 100:\n",
    "            abs_diff[\"<0.1\"] += 1\n",
    "        elif diff < 250:\n",
    "            abs_diff[\"<0.25\"] += 1\n",
    "        elif diff < 500:\n",
    "            abs_diff[\"<0.5\"] += 1\n",
    "        elif diff < 1000:\n",
    "            abs_diff[\"<1\"] += 1\n",
    "        else:\n",
    "            abs_diff[\">=1\"] += 1\n",
    "        \n",
    "        try:\n",
    "            rel_diff = diff/real[i]\n",
    "            total_proc_diff += rel_diff\n",
    "\n",
    "            if rel_diff <0.001:\n",
    "                proc_diff[\"<0.1%\"]\n",
    "            elif rel_diff < 0.0025:\n",
    "                proc_diff[\"<0.25%\"] += 1\n",
    "            elif rel_diff < 0.005:\n",
    "                proc_diff[\"<0.5%\"] += 1\n",
    "            elif rel_diff < 0.01:\n",
    "                proc_diff[\"<1%\"] += 1\n",
    "            elif rel_diff < 0.025:\n",
    "                proc_diff[\"<2.5%\"] += 1\n",
    "            else:\n",
    "                proc_diff[\">=2.5%\"] += 1\n",
    "        except:\n",
    "            pass\n",
    "    \n",
    "    abs_diff[\"avg\"]= total_diff/len(real)\n",
    "    proc_diff[\"avg%\"] = total_proc_diff/len(real)\n",
    "    \n",
    "\n",
    "\n",
    "    return abs_diff, proc_diff, abs_diff_list\n",
    "\n",
    "#used for initial tests\n",
    "def visualize_performance(real, pred):\n",
    "    plt.figure(figsize=(10,10))\n",
    "    plt.scatter(real, pred, c='crimson')\n",
    "    plt.yscale('log')\n",
    "    plt.xscale('log')\n",
    "\n",
    "    p1 = max(max(pred), max(real))\n",
    "    p2 = min(min(pred), min(real))\n",
    "    #p1 = 10000.0\n",
    "    #p2 = 100.0\n",
    "    plt.plot([p1, p2], [p1, p2], 'b-')\n",
    "    plt.xlabel('True Values', fontsize=15)\n",
    "    plt.ylabel('Predictions', fontsize=15)\n",
    "    plt.axis('equal')\n",
    "    plt.show()\n",
    "    \n",
    "def show_predictions(X_test, y_test, prediction, difference_list):\n",
    "    report_df = X_test[['Year', 'Track', 'Driver']]\n",
    "    report_df['Q_time']=y_test\n",
    "    report_df['Prediction']=prediction\n",
    "    report_df['delta']=difference_list\n",
    "    return report_df\n",
    "\n",
    "def get_2021_Q_Results(df):\n",
    "    Q_Res_df = df[[\"Year\", \"Round\", \"Driver\", \"Q_delta\"]]\n",
    "    Q_Res_df = Q_Res_df.dropna()\n",
    "\n",
    "    Q_Results_2021 = {gp_name: None for gp_name in GP_names_2021}\n",
    "\n",
    "    for gp_name in GP_names_2021:\n",
    "        try:\n",
    "            gp_df = Q_Res_df.loc[(df[\"Year\"]==2021) & (Q_Res_df[\"Round\"] == GP_names_2021.index(gp_name)+1)][[\"Driver\", \"Q_delta\"]]\n",
    "            Q_Results_2021[gp_name]=gp_df.sort_values(by=\"Q_delta\", axis=0, ascending =True)\n",
    "        except Exception as e:\n",
    "            print(e)\n",
    "\n",
    "    #due to heavy rain and changable conditions during the Qualifying of the Belgium Grand Prix,\n",
    "    #cars that were eliminated in the early stages of the qulifying ended up setting faster laps than the ultimate\n",
    "    #pole sitter, as the track got increasingly wet. Therefore, we will ignore the 2021 Belgium GP.\n",
    "    Q_Results_2021[\"Belgium\"] = None\n",
    "    Q_Results_2021[\"Russia\"] = None\n",
    "    Q_Results_2021[\"Abu Dhabi\"] = None\n",
    "    return Q_Results_2021\n",
    "\n",
    "\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "utils          INFO \tNumExpr defaulting to 4 threads.\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver  2: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver  5: Lap timing integrity check failed for 2 lap(s)\n",
      "core        WARNING \tDriver  7: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver  9: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 14: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 27: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 28: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 31: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 33: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 35: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 55: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver  2: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver  5: Lap timing integrity check failed for 2 lap(s)\n",
      "core        WARNING \tDriver  7: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver  9: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 14: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 27: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 28: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 31: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 33: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 35: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 55: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '7', '9', '33', '55', '3', '77', '44', '2', '14', '10', '28', '35', '18', '8', '16', '20', '27', '11', '31']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['7', '33', '3', '44', '5', '77', '27', '55', '10', '14', '28', '8', '31', '11', '20', '9', '2', '16', '35', '18']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '7', '77', '33', '44', '20', '11', '31', '55', '35', '27', '14', '2', '28', '3', '10', '18', '16', '9', '8']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 44: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 44: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 3 [v2.1.12]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '44', '7', '33', '77', '11', '20', '18', '31', '35', '14', '3', '10', '16', '8', '55', '27', '2', '9', '28']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018 Baku\n",
      "ERROR in update_pole_times!\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '40', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '77', '5', '7', '3', '20', '8', '55', '14', '10', '27', '33', '31', '2', '16', '11', '28', '9', '18', '35']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '33', '5', '7', '44', '77', '28', '10', '55', '35', '2', '31', '11', '27', '14', '18', '16', '8', '20', '9']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '14', '16', '18', '20', '27', '28', '31', '33', '34', '35', '44', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '5', '7', '44', '3', '77', '11', '27', '8', '2', '31', '28', '14', '55', '10', '16', '20', '35', '9', '18']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for French Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for French Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['77', '55', '16', '14', '5', '2', '10', '9', '11', '3', '31', '44', '7', '18', '35', '20', '28', '8', '27', '33']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '40', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '44', '77', '7', '33', '3', '8', '20', '55', '16', '27', '10', '31', '14', '11', '9', '28', '2', '18', '35']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for British Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '7', '77', '5', '33', '3', '16', '20', '8', '9', '31', '11', '14', '27', '55', '18', '35', '2', '10', '28']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018 Silverstone\n",
      "ERROR in update_pole_times!\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for German Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for German Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for German Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '10', '11', '14', '16', '18', '20', '27', '28', '33', '34', '35', '36', '44', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for German Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for German Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for German Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '9', '35', '5', '10', '28', '27', '7', '18', '8', '20', '33', '14', '2', '3', '55', '77', '31', '11', '44']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '18', '20', '27', '28', '31', '33', '35', '36', '44', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '77', '7', '44', '3', '33', '55', '27', '8', '10', '20', '28', '16', '14', '31', '35', '2', '9', '11', '18']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '16', '18', '20', '27', '28', '31', '33', '35', '44', '47', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '7', '44', '77', '33', '3', '16', '11', '27', '31', '9', '8', '55', '20', '10', '28', '18', '35', '14', '2']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '47', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '44', '7', '77', '33', '20', '31', '3', '16', '8', '11', '10', '55', '35', '18', '9', '14', '2', '27', '28']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '7', '44', '77', '3', '33', '8', '31', '11', '14', '27', '20', '55', '10', '2', '16', '28', '35', '9', '18']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '10', '16', '18', '20', '27', '28', '31', '33', '34', '35', '36', '44', '46', '47', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '77', '5', '7', '33', '3', '16', '31', '20', '11', '55', '10', '8', '27', '9', '28', '35', '18', '2', '14']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018 Sochi\n",
      "ERROR in update_pole_times!\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '47', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Japanese Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '5', '7', '33', '77', '3', '31', '11', '55', '20', '8', '16', '28', '18', '27', '9', '14', '35', '2', '10']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '31', '33', '35', '38', '44', '47', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for United States Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '7', '44', '77', '33', '3', '16', '11', '55', '8', '31', '10', '20', '27', '9', '18', '35', '2', '28', '14']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '18', '20', '27', '28', '33', '34', '35', '36', '44', '47', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '44', '5', '3', '7', '16', '55', '10', '9', '27', '31', '11', '8', '2', '14', '28', '35', '18', '77', '20']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 35: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '10', '16', '18', '20', '27', '28', '31', '33', '34', '35', '36', '44', '47', '55', '77']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 35: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '44', '77', '7', '33', '3', '20', '8', '10', '16', '27', '31', '9', '55', '35', '28', '18', '14', '11', '2']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 36: Lap timing integrity check failed for 1 lap(s)\n",
      "core        WARNING \tDriver 44: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '18', '20', '27', '28', '31', '33', '36', '40', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['2', '3', '5', '7', '8', '9', '10', '11', '14', '16', '18', '20', '27', '28', '31', '33', '35', '44', '55', '77']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '7', '5', '33', '77', '3', '8', '27', '55', '31', '11', '28', '16', '20', '10', '14', '9', '18', '2', '35']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Australian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '5', '16', '8', '20', '10', '77', '26', '33', '3', '27', '99', '55', '11', '23', '18', '7', '4', '63', '88']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 3 [v2.1.12]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '5', '44', '77', '8', '27', '4', '33', '55', '26', '7', '10', '20', '18', '11', '3', '23', '99', '63', '88']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Chinese Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['77', '5', '16', '44', '27', '7', '33', '55', '23', '26', '4', '11', '3', '18', '10', '99', '8', '20', '63', '88']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019 Shanghai\n",
      "ERROR in update_pole_times!\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '5', '33', '77', '44', '26', '20', '23', '11', '7', '3', '99', '4', '55', '18', '27', '8', '88', '63', '10']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '16', '77', '5', '8', '20', '33', '23', '7', '55', '26', '27', '11', '10', '18', '99', '3', '4', '63', '88']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 33: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '77', '44', '33', '10', '99', '26', '20', '7', '23', '27', '3', '8', '5', '55', '4', '11', '18', '88', '63']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '40', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Canadian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Canadian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '16', '44', '77', '33', '10', '3', '4', '11', '26', '27', '20', '55', '23', '99', '7', '8', '63', '88', '18']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '40', '44', '55', '77', '88', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['77', '44', '16', '5', '33', '10', '4', '3', '55', '7', '27', '99', '23', '8', '20', '11', '26', '18', '88', '63']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '44', '77', '5', '33', '4', '10', '55', '99', '26', '23', '27', '7', '11', '8', '18', '3', '20', '63', '88']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '5', '44', '10', '33', '77', '4', '27', '3', '23', '99', '55', '26', '8', '20', '7', '18', '11', '63', '88']\n",
      "core           INFO \tLoading laps for German Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for German Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for German Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for German Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for German Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for German Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '33', '5', '77', '20', '44', '55', '10', '7', '8', '11', '27', '23', '4', '99', '18', '26', '3', '88', '63']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019 Hockenheim\n",
      "ERROR in update_pole_times!\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '33', '5', '77', '16', '10', '4', '7', '55', '20', '8', '26', '27', '11', '99', '3', '23', '63', '18', '88']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '40', '44', '55', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '5', '77', '3', '33', '11', '44', '7', '99', '10', '8', '27', '20', '55', '4', '18', '26', '63', '88', '23']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019 Spa-Francorchamps\n",
      "ERROR in update_pole_times!\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['5', '33', '77', '16', '3', '44', '27', '23', '99', '26', '55', '11', '10', '4', '7', '20', '8', '18', '63', '88']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Singapore Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Singapore Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '44', '5', '77', '23', '33', '55', '4', '27', '3', '18', '10', '7', '11', '63', '99', '20', '8', '88', '26']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '5', '44', '77', '33', '8', '23', '27', '4', '20', '10', '3', '55', '99', '11', '18', '7', '63', '26', '88']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "b\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '11', '16', '18', '20', '23', '26', '27', '33', '38', '44', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Japanese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "ERROR: avg_t_fastest-avg_q_time\n",
      "unsupported operand type(s) for -: 'float' and 'NoneType'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '40', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Mexican Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Mexican Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['16', '5', '77', '44', '55', '33', '10', '23', '4', '11', '26', '7', '18', '99', '20', '8', '63', '88', '27', '3']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '40', '44', '55', '77', '88', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for United States Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '5', '4', '77', '44', '23', '55', '7', '10', '3', '27', '18', '8', '26', '20', '99', '63', '88', '11', '16']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '40', '44', '55', '63', '77', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Brazilian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '33', '16', '5', '23', '77', '26', '99', '4', '55', '7', '10', '27', '20', '3', '8', '11', '18', '63', '88']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '7', '8', '10', '11', '16', '18', '20', '23', '26', '27', '33', '44', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '44', '77', '23', '5', '16', '11', '3', '55', '10', '8', '26', '4', '20', '18', '7', '27', '99', '63', '88']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 18: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "single positional indexer is out-of-bounds\n",
      "ERROR: avg_t_fastest-avg_q_time\n",
      "unsupported operand type(s) for -: 'NoneType' and 'NoneType'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "api            INFO \tParsing timing data...\n",
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "b\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '40', '44', '55', '77', '88']\n",
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "api            INFO \tParsing timing data...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "ERROR: avg_t_fastest-avg_q_time\n",
      "unsupported operand type(s) for -: 'float' and 'NoneType'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['77', '44', '11', '16', '18', '33', '4', '5', '10', '3', '55', '23', '31', '63', '8', '20', '26', '99', '7', '6']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for British Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for 70th Anniversary Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for 70th Anniversary Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for 70th Anniversary Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '88']\n",
      "core           INFO \tLoading laps for 70th Anniversary Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for 70th Anniversary Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '16', '18', '20', '23', '26', '27', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for 70th Anniversary Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '77', '4', '27', '18', '16', '33', '23', '31', '55', '10', '26', '5', '3', '8', '6', '63', '99', '7', '20']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '40', '44', '55', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '77', '33', '55', '11', '16', '10', '18', '23', '3', '31', '5', '8', '7', '4', '26', '20', '99', '63', '6']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '31', '4', '23', '77', '33', '3', '18', '55', '11', '10', '26', '6', '20', '8', '7', '16', '63', '99', '5']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '40', '44', '55', '77', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['77', '55', '4', '3', '44', '33', '23', '31', '18', '11', '16', '10', '26', '8', '5', '20', '7', '63', '6', '99']\n",
      "core           INFO \tLoading laps for Tuscan Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Tuscan Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Tuscan Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Tuscan Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Tuscan Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Tuscan Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['77', '33', '44', '18', '10', '11', '16', '23', '26', '8', '31', '55', '99', '7', '20', '6', '3', '5', '4', '63']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '77', '55', '31', '11', '33', '5', '18', '26', '3', '10', '16', '63', '8', '6', '20', '99', '7', '23', '4']\n",
      "core           INFO \tLoading laps for Eifel Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "api            INFO \tParsing timing data...\n",
      "core           INFO \tLoading laps for Eifel Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "a\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Eifel Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "api            INFO \tParsing timing data...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "ERROR: avg_t_fastest-avg_q_time\n",
      "unsupported operand type(s) for -: 'NoneType' and 'NoneType'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['77', '44', '33', '10', '23', '16', '55', '11', '4', '31', '5', '26', '7', '3', '63', '18', '99', '20', '6', '8']\n",
      "core           INFO \tLoading laps for Emilia Romagna Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "core           INFO \tLoading laps for Emilia Romagna Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "core           INFO \tLoading laps for Emilia Romagna Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "a\n",
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "b\n",
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "ERROR: avg_t_fastest-avg_q_time\n",
      "unsupported operand type(s) for -: 'NoneType' and 'NoneType'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '16', '23', '31', '4', '5', '11', '77', '20', '18', '3', '55', '99', '10', '8', '7', '26', '63', '6', '44']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '40', '44', '55', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '8', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '44', '77', '23', '55', '10', '4', '26', '18', '11', '3', '31', '5', '99', '16', '63', '8', '20', '7', '6']\n",
      "core           INFO \tLoading laps for Sakhir Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '51', '55', '63', '77', '89', '99']\n",
      "core           INFO \tLoading laps for Sakhir Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '51', '55', '63', '77', '89', '99']\n",
      "core           INFO \tLoading laps for Sakhir Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '51', '55', '63', '77', '89', '99']\n",
      "core           INFO \tLoading laps for Sakhir Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '51', '55', '63', '77', '89', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Sakhir Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '51', '55', '63', '77', '89', '99']\n",
      "core           INFO \tLoading laps for Sakhir Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '77', '10', '31', '4', '23', '63', '11', '18', '55', '99', '26', '16', '3', '5', '7', '20', '6', '51', '89']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '51', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '51', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 18: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '23', '26', '31', '33', '44', '50', '51', '55', '63', '77', '88']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '51', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '10', '11', '16', '18', '20', '23', '26', '31', '33', '44', '51', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '23', '3', '31', '4', '44', '18', '55', '77', '11', '26', '16', '10', '5', '63', '99', '7', '20', '6', '51']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Bahrain Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '44', '10', '77', '11', '55', '7', '31', '18', '3', '16', '99', '22', '5', '14', '4', '63', '47', '9', '6']\n",
      "core           INFO \tLoading laps for Emilia Romagna Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Emilia Romagna Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Emilia Romagna Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "local variable 'df' referenced before assignment\n",
      "ERROR: avg_t_fastest-avg_q_time\n",
      "unsupported operand type(s) for -: 'NoneType' and 'NoneType'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver  7: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 22: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '98']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver  7: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Portuguese Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '44', '77', '11', '31', '16', '55', '4', '10', '7', '22', '3', '99', '14', '47', '18', '63', '5', '6', '9']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '45', '47', '55', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Spanish Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '44', '16', '55', '77', '4', '10', '3', '7', '11', '14', '22', '31', '18', '63', '99', '5', '6', '47', '9']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Monaco Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '55', '16', '77', '11', '4', '44', '7', '10', '5', '99', '18', '3', '47', '14', '9', '63', '6', '22', '31']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Azerbaijan Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['10', '11', '44', '16', '55', '4', '14', '22', '31', '3', '5', '18', '77', '7', '33', '6', '99', '63', '47', '9']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021 Baku\n",
      "ERROR in update_pole_times!\n",
      "2021 Baku\n",
      "ERROR in update_pole_times!\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for French Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '45', '47', '55', '77', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for French Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '77', '55', '11', '44', '4', '14', '31', '10', '3', '16', '99', '18', '5', '7', '63', '22', '6', '47', '9']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021 Le Castellet\n",
      "ERROR in update_pole_times!\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 18: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Styrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver 18: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Styrian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '33', '77', '11', '22', '10', '16', '14', '18', '5', '99', '31', '55', '63', '7', '47', '3', '6', '4', '9']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '16', '18', '22', '31', '33', '37', '44', '45', '47', '55', '77', '98']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 2 [v2.1.12]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Austrian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '77', '44', '10', '99', '55', '11', '14', '16', '5', '18', '22', '31', '63', '4', '3', '7', '47', '6', '9']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'Practice 3'\n",
      "b\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for British Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Hungarian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '33', '77', '55', '16', '4', '11', '3', '14', '18', '10', '31', '5', '22', '7', '63', '6', '99', '47', '9']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Belgian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '11', '44', '4', '31', '18', '10', '5', '63', '14', '77', '6', '3', '55', '47', '16', '22', '99', '9', '7']\n",
      "core           INFO \tLoading laps for Dutch Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Dutch Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Dutch Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n",
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Dutch Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Dutch Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '88', '99']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Dutch Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '77', '44', '11', '14', '4', '18', '5', '16', '10', '3', '6', '31', '63', '99', '55', '22', '9', '88', '47']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'Practice 3'\n",
      "b\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Italian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '88', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "api            INFO \tParsing timing data...\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "b\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Russian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tNo cached data found for timing_data. Loading data...\n",
      "api            INFO \tFetching timing data...\n",
      "api            INFO \tParsing timing data...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for this session! Are you sure this session wasn't cancelled?\n",
      "ERROR: avg_t_fastest-avg_q_time\n",
      "unsupported operand type(s) for -: 'float' and 'NoneType'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "core        WARNING \tDriver  5: Lap timing integrity check failed for 1 lap(s)\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Turkish Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['10', '33', '11', '55', '16', '14', '7', '22', '77', '31', '99', '5', '47', '3', '4', '18', '9', '44', '6', '63']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for United States Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['11', '55', '33', '4', '77', '44', '3', '10', '16', '31', '5', '63', '7', '6', '99', '18', '14', '22', '47', '9']\n",
      "core           INFO \tLoading laps for Mexico City Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Mexico City Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Mexico City Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Mexico City Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Mexico City Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Mexico City Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['11', '33', '44', '77', '55', '22', '3', '10', '16', '4', '18', '7', '99', '5', '14', '31', '63', '47', '6', '9']\n",
      "core           INFO \tLoading laps for São Paulo Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for São Paulo Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'Practice 3'\n",
      "b\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for São Paulo Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Qatar Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Qatar Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Qatar Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Qatar Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Qatar Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Qatar Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['77', '44', '33', '10', '11', '55', '14', '31', '16', '22', '3', '5', '4', '63', '18', '7', '99', '6', '47', '9']\n",
      "core           INFO \tLoading laps for Saudi Arabian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Saudi Arabian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Saudi Arabian Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Saudi Arabian Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Saudi Arabian Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Saudi Arabian Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['33', '44', '11', '22', '10', '77', '16', '55', '31', '4', '14', '99', '7', '3', '18', '63', '5', '6', '47', '9']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 1 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '77', '89', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 2 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempt to get argmin of an empty sequence\n",
      "d\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Practice 3 [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['3', '4', '5', '6', '7', '9', '10', '11', '14', '16', '18', '22', '31', '33', '44', '47', '55', '63', '77', '99']\n",
      "core           INFO \tLoading laps for Abu Dhabi Grand Prix - Qualifying [v2.1.12]\n",
      "api            INFO \tUsing cached data for timing_data\n",
      "api            INFO \tUsing cached data for timing_app_data\n",
      "core           INFO \tProcessing timing data...\n",
      "api            INFO \tUsing cached data for driver_info\n",
      "api            INFO \tUsing cached data for session_status_data\n",
      "api            INFO \tUsing cached data for track_status_data\n",
      "api            INFO \tUsing cached data for weather_data\n",
      "core           INFO \tLoaded data for 20 drivers: ['44', '33', '77', '11', '4', '22', '10', '55', '3', '16', '18', '31', '7', '99', '14', '5', '63', '6', '47', '9']\n"
     ]
    }
   ],
   "source": [
    "def convert_to_ms(x):\n",
    "    in_ms = None\n",
    "    try:\n",
    "        in_ms = int(x/pd.to_timedelta(1, unit = 'ms'))\n",
    "    except:\n",
    "        pass\n",
    "    return in_ms\n",
    "\n",
    "def handle_missed_session(session_name):\n",
    "    data[session_name+'_time'] = None\n",
    "    data[session_name+'_track_temp']= None\n",
    "    data[session_name+'_tyre'] = None\n",
    "\n",
    "#given the weekends tyre_range (1-3) and the name of the tyre (Soft, Medium, Hard)\n",
    "#determines the Compound value i (for C1-C5) used\n",
    "def get_compound(tyre_range, tyre_name):\n",
    "    tyre = 0\n",
    "    if tyre_name in [\"SOFT\", \"MEDIUM\", \"HARD\"]:\n",
    "        if tyre_range == 1: # Range 1, 2 or 3\n",
    "            if tyre_name == \"SOFT\":\n",
    "                tyre = 3 # the corresponding Ci lable (C3 in this case)\n",
    "            elif tyre_name == \"MEDIUM\":\n",
    "                tyre = 2\n",
    "            else:\n",
    "                tyre = 1\n",
    "        elif tyre_range == 2:\n",
    "            if tyre_name == \"SOFT\":\n",
    "                tyre = 4\n",
    "            elif tyre_name == \"MEDIUM\":\n",
    "                tyre = 3\n",
    "            else:\n",
    "                tyre = 2\n",
    "        else:\n",
    "            if tyre_name == \"SOFT\":\n",
    "                tyre = 5\n",
    "            elif tyre_name == \"MEDIUM\":\n",
    "                tyre = 4\n",
    "            else:\n",
    "                tyre = 3\n",
    "    else:\n",
    "        if tyre_name == \"INTERMEDIATE\":\n",
    "            tyre = -1\n",
    "        elif tyre_name == \"WET\":\n",
    "            tyre = -2\n",
    "            \n",
    "    return tyre\n",
    "\n",
    "def get_weather_cond(tyre_name):\n",
    "    condition= \"DRY\"\n",
    "    if tyre_name ==\"INTERMEDIATE\":\n",
    "        condition = \"INTERMEDIATE\"\n",
    "    elif tyre_name ==\"WET\":\n",
    "        condition = \"WET\"\n",
    "    return condition\n",
    "        \n",
    "\n",
    "# Drivers are Qualified to participate in the Qualifying Session if they completet at least one of the\n",
    "# 3 practice Sessions. In order to safe cache space, we only consider the last 2 sessions.\n",
    "# returns driver Abbreviation\n",
    "def get_qualified_drivers(year, GP):\n",
    "    FP2_drivers = list() #create empty lists of drivers that participated in FP2/FP3\n",
    "    FP3_drivers = list()\n",
    "    \n",
    "    try: #error handling if session didn't go ahead\n",
    "        FP2 = ff1.get_session(year, GP, 'FP2')\n",
    "        FP2_laps = FP2.load_laps(with_telemetry=False)\n",
    "        FP2_drivers = pd.unique(FP2_laps['Driver']).tolist()\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        print(\"a\")\n",
    "    \n",
    "    try:\n",
    "        FP3 = ff1.get_session(year, GP, 'FP3')\n",
    "        FP3_laps = FP3.load_laps(with_telemetry=False)\n",
    "        FP3_drivers = pd.unique(FP3_laps['Driver']).tolist()\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        print(\"b\")\n",
    "\n",
    "    #list of drivers that participated in either session\n",
    "    qualified_drivers = FP2_drivers\n",
    "    qualified_drivers.extend(drv for drv in FP3_drivers if drv not in qualified_drivers)\n",
    "\n",
    "    return qualified_drivers\n",
    "\n",
    "\n",
    "def get_current_teamname(teamname):\n",
    "    current_teamname = teamname\n",
    "    if teamname == \"Renault\" or teamname ==\"Alpine F1 Team\":\n",
    "        current_teamname = \"Alpine\" \n",
    "    if teamname == \"Racing Point\" or teamname == \"Force India\":\n",
    "        current_teamname = \"Aston Martin\"\n",
    "    if teamname == \"Toro Rosso\":\n",
    "        current_teamname = \"AlphaTauri\"\n",
    "    if teamname ==\"Sauber\":\n",
    "        current_teamname =\"Alfa Romeo\"\n",
    "    if teamname ==\"Haas F1 Team\":\n",
    "        current_teamname = \"Haas\"\n",
    "        \n",
    "    return current_teamname\n",
    "\n",
    "\n",
    "#You have to create a cache folder in the same folder as this programm\n",
    "#in order to use the cache function of FastF1. I named mine cache_folder\n",
    "ff1.Cache.enable_cache('cache_folder')\n",
    "\n",
    "Sec_times = ['T_S1_time', 'T_S2_time', 'T_S3_time']\n",
    "track_temps = ['T_S1_track_temp', 'T_S2_track_temp', 'T_S3_track_temp']\n",
    "air_temps = ['T_S1_air_temp', 'T_S2_air_temp', 'T_S3_air_temp']\n",
    "speeds = ['T_S1_speed', 'T_S2_speed', 'T_S3_speed']\n",
    "tyre_lifes = ['T_S1_tyre_life', 'T_S2_tyre_life', 'T_S3_tyre_life']\n",
    "\n",
    "Lap_times = ['FP1_time', 'FP2_time', 'FP3_time', 'Q_time']\n",
    "Lap_weather = ['FP1_weather', 'FP2_weather', 'FP3_weather', 'Q_weather']\n",
    "Lap_tyre_lifes = [\"FP1_tyre_life\", \"FP2_tyre_life\", \"FP3_tyre_life\"]\n",
    "\n",
    "df = pd.DataFrame(columns=['Year', 'Round', 'Track', 'Driver', 'Team',\n",
    "                           'Q_delta', 'Q_track_temp', 'Q_air_temp', 'T_fastest',\n",
    "                            'avg_improv', 'last_pole_time']\n",
    "                        + Sec_times +Lap_times+Lap_weather+ track_temps + air_temps + speeds + tyre_lifes\n",
    "                        + Lap_tyre_lifes)\n",
    "\n",
    "\n",
    "#not used in final version\n",
    "#import the file containing the tyre allocation for all Events 2019-2021\n",
    "tyre_range_df = pd.read_csv(\"Tyre_range.csv\") \n",
    "\n",
    "#tyre_range determines what compound the soft, medium and hard tyres exactly are\n",
    "# i => hard, medium, soft\n",
    "# 1 => C1, C2, C3 \n",
    "# 2 => C2, C3, C4\n",
    "# 3 => C3, C4, C5\n",
    "# -1 Intermediate, -2 Wet\n",
    "\n",
    "tyre_range = 2 #default value\n",
    "\n",
    "\n",
    "tracks_2018 = ['Melbourne', 'Bahrain', 'Shanghai', 'Baku', 'Barcelona', 'Monaco', 'Montreal', \n",
    "               'Le Castellet', 'Spielberg', 'Silverstone', 'Hockenheim', 'Mogyorod', 'Spa-Francorchamps', \n",
    "               'Monza', 'Singapore', 'Sochi', 'Suzuka', 'Austin', 'Mexico City','Sao Paulo', 'Abu Dhabi']\n",
    "rounds_2018 = { i : tracks_2018[i-1] for i in range(1, len(tracks_2018)+1 )}\n",
    "\n",
    "tracks_2019 = ['Melbourne', 'Bahrain', 'Shanghai', 'Baku', 'Barcelona', 'Monaco', 'Montreal', \n",
    "               'Le Castellet', 'Spielberg', 'Silverstone', 'Hockenheim', 'Mogyorod', 'Spa-Francorchamps', \n",
    "               'Monza', 'Singapore', 'Sochi', 'Suzuka', 'Mexico City', 'Austin', 'Sao Paulo', 'Abu Dhabi']\n",
    "rounds_2019 = { i : tracks_2019[i-1] for i in range(1, len(tracks_2019)+1 )}\n",
    "\n",
    "tracks_2020 = ['Spielberg', 'Spielberg', 'Mogyorod', 'Silverstone', 'Silverstone', 'Barcelona', \n",
    "               'Spa-Francorchamps', 'Monza', 'Mugello', 'Sochi', 'Nürburg', 'Portimao', 'Imola', 'Istanbul', \n",
    "               'Bahrain', 'Bahrain Short', 'Abu Dhabi']\n",
    "rounds_2020 = { i : tracks_2020[i-1] for i in range(1, len(tracks_2020)+1 )}\n",
    "\n",
    "tracks_2021 = ['Bahrain', 'Imola', 'Portimao', 'Barcelona', 'Monaco', 'Baku', 'Le Castellet', 'Spielberg', \n",
    "               'Spielberg', 'Silverstone', 'Mogyorod', 'Spa-Francorchamps', 'Zandvoort', 'Monza', 'Sochi', \n",
    "               'Istanbul', 'Austin', 'Mexico City', 'Sao Paulo', 'Lusail', 'Jeddah', 'Abu Dhabi 2']\n",
    "rounds_2021 = { i : tracks_2021[i-1] for i in range(1, len(tracks_2021)+1 ) }\n",
    "GP_names_2021 = ['Bahrain', 'Emilia-Romagna', 'Portugal', 'Spain', 'Monaco', 'Azerbaijan', 'France', 'Styria', \n",
    "               'Austria', 'Britain', 'Hungary', 'Belgium', 'Netherlands', 'Italy', 'Russia', \n",
    "               'Turkey', 'USA', 'Mexico', 'Brazil', 'Qatar', 'Saudi Arabia', 'Abu Dhabi']\n",
    "\n",
    "sprint_tracks = [\"Silverstone\", \"Monza\", \"Sao Paulo\"]\n",
    "\n",
    "track_list = list(set(tracks_2018+tracks_2019+tracks_2020+tracks_2021))\n",
    "\n",
    "\n",
    "tracks_test = ['Shanghai', 'Baku']\n",
    "rounds_test = { i : tracks_test[i-1] for i in range(1, len(tracks_test)+1 ) }\n",
    "\n",
    "seasons = {2018: rounds_2018, 2019: rounds_2019, 2020: rounds_2020, 2021: rounds_2021}\n",
    "#seasons = {2021: rounds_2021}\n",
    "#seasons = {2019: rounds_test}\n",
    "sessions = [\"FP1\", \"FP2\", \"FP3\", \"Q\"]\n",
    "\n",
    "avg_improvs = {year: {track: {\"improv\": 0, \"Q_weather_cond\": None} for track in track_list} for year in seasons}\n",
    "pole_times = {year: {track: {\"time\": 0, \"Q_weather_cond\": None} for track in track_list} for year in seasons}\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "def update_fastest_Sectores(driver, laps): \n",
    "                                           \n",
    "    try:\n",
    "        fastest_S1 = convert_to_ms(laps['Sector1Time'].min())\n",
    "        \n",
    "        if GP_data[driver]['T_S1_time'] is None or fastest_S1 <= GP_data[driver]['T_S1_time']:\n",
    "            GP_data[driver]['T_S1_time'] = fastest_S1\n",
    "            \n",
    "\n",
    "            lap = laps[laps.Sector1Time == laps['Sector1Time'].min()]\n",
    "\n",
    "            GP_data[driver]['T_S1_track_temp'] = lap.get_weather_data()['TrackTemp'].iloc[0]\n",
    "            GP_data[driver]['T_S1_air_temp'] = lap.get_weather_data()['AirTemp'].iloc[0]\n",
    "            GP_data[driver]['T_S1_speed'] = lap['SpeedI1'].iloc[0]\n",
    "            GP_data[driver]['T_S1_tyre_life'] = lap['TyreLife'].iloc[0]\n",
    "        \n",
    "    except Exception as e:\n",
    "        print(\"fastest_S1\")\n",
    "        print(str(e))\n",
    "        print(type(e))\n",
    "        print(e.message)\n",
    "    try:\n",
    "        fastest_S2 = convert_to_ms(laps['Sector2Time'].min())\n",
    "        \n",
    "        if GP_data[driver]['T_S2_time'] is None or fastest_S2 <= GP_data[driver]['T_S2_time']:\n",
    "            GP_data[driver]['T_S2_time'] = fastest_S2\n",
    "            \n",
    "            lap = laps[laps.Sector2Time == laps['Sector2Time'].min()]\n",
    "            #lap = laps.loc[convert_to_ms(laps['Sector2Time']) == fastest_S2].iloc[0]\n",
    "\n",
    "            GP_data[driver]['T_S2_track_temp'] = lap.get_weather_data()['TrackTemp'].iloc[0]\n",
    "            GP_data[driver]['T_S2_air_temp'] = lap.get_weather_data()['AirTemp'].iloc[0]\n",
    "            GP_data[driver]['T_S2_speed'] = lap['SpeedI2'].iloc[0]\n",
    "            GP_data[driver]['T_S2_tyre_life'] = lap['TyreLife'].iloc[0]\n",
    "    except Exception as e:\n",
    "        print(\"fastest_S2\")\n",
    "        print(e)\n",
    "    try:\n",
    "        fastest_S3 = convert_to_ms(laps['Sector3Time'].min())\n",
    "        \n",
    "        if GP_data[driver]['T_S3_time'] is None or fastest_S3 <= GP_data[driver]['T_S3_time']:\n",
    "            GP_data[driver]['T_S3_time'] = fastest_S3\n",
    "            \n",
    "            lap = laps[laps.Sector3Time == laps['Sector3Time'].min()]\n",
    "            #lap = laps.loc[convert_to_ms(laps['Sector3Time']) == fastest_S3].iloc[0]\n",
    "\n",
    "            GP_data[driver]['T_S3_track_temp'] = lap.get_weather_data()['TrackTemp'].iloc[0]\n",
    "            GP_data[driver]['T_S3_air_temp'] = lap.get_weather_data()['AirTemp'].iloc[0]\n",
    "            GP_data[driver]['T_S3_speed'] = lap['SpeedFL'].iloc[0]\n",
    "            GP_data[driver]['T_S3_tyre_life'] = lap['TyreLife'].iloc[0]\n",
    "    except Exception as e:\n",
    "        print(\"fastest_S3\")\n",
    "        print(e)\n",
    "    \n",
    "    GP_data[driver]['T_fastest'] = GP_data[driver]['T_S1_time']+GP_data[driver]['T_S2_time']+GP_data[driver]['T_S3_time']\n",
    "\n",
    "        \n",
    "def update_avg_improvs(GP_data, year, track, Q_weather_cond): #vielleicht 107% regel enforcen?\n",
    "    avg_t_fastest = 0\n",
    "    avg_q_time = 0\n",
    "\n",
    "    tot_t_fastest = 0\n",
    "    tot_q_time = 0\n",
    "    \n",
    "    fast_num = 0\n",
    "    q_time_num = 0\n",
    "    \n",
    "    for driver in GP_data:\n",
    "        try:\n",
    "            if not pd.isnull(GP_data[driver]['T_fastest']):\n",
    "                tot_t_fastest += GP_data[driver]['T_fastest']\n",
    "                fast_num +=1\n",
    "        except Exception as e:\n",
    "            print(\"UPDATE AVG IMPROV TOT T FASTEST ERROR\", year, track)\n",
    "            print(e)\n",
    "            \n",
    "            \n",
    "        try:\n",
    "            if not pd.isnull(GP_data[driver]['Q_time']):\n",
    "                tot_q_time += GP_data[driver]['Q_time']\n",
    "                q_time_num +=1\n",
    "        except Exception as e:\n",
    "            print(\"UPDATE AVG IMPROV TOT Q TIME ERROR\", year, track)\n",
    "            print(e)\n",
    "    \n",
    "    if fast_num>0:\n",
    "        avg_t_fastest = tot_t_fastest/fast_num\n",
    "    else:\n",
    "        avg_t_fastest = None\n",
    "    if q_time_num>0:\n",
    "        avg_q_time = tot_q_time/q_time_num\n",
    "    else:\n",
    "        avg_q_time = None\n",
    "    try:\n",
    "        avg_improvs[year][track][\"improv\"] = avg_t_fastest-avg_q_time\n",
    "        avg_improvs[year][track][\"Q_weather_cond\"]=Q_weather_cond\n",
    "    except Exception as e:\n",
    "        print(\"ERROR: avg_t_fastest-avg_q_time\")\n",
    "        print(e)\n",
    "        avg_improvs[year][track] = None\n",
    "\n",
    "\n",
    "def update_pole_times(GP_data, year, track, laps):\n",
    "    drivers = pd.unique(laps['Driver'])\n",
    "    list_fastest_laps = list()\n",
    "    \n",
    "    for drv in drivers:\n",
    "        try:\n",
    "            drvs_fastest_lap = laps.pick_driver(drv).pick_fastest()\n",
    "            list_fastest_laps.append(drvs_fastest_lap)\n",
    "        except:\n",
    "            print(year, track)\n",
    "            print(\"ERROR in update_pole_times!\")\n",
    "    try:\n",
    "        fastest_laps = Laps(list_fastest_laps).sort_values(by='LapTime').reset_index(drop=True)\n",
    "        pole_lap = fastest_laps.pick_fastest()\n",
    "        pole_times[year][track][\"time\"] = convert_to_ms(pole_lap['LapTime'])\n",
    "        pole_times[year][track][\"Q_weather_cond\"] = get_weather_cond(pole_lap[\"Compound\"])\n",
    "    except Exception as e:\n",
    "        print(\"ERROR: pole time\")\n",
    "        print(e)\n",
    "\n",
    "def set_session_weather(GP_data, session):\n",
    "    compound_counter = {\"WET\":0, \"INTERMEDIATE\":0, \"DRY\":0}\n",
    "    for driver in GP_data:\n",
    "        if GP_data[driver][session+\"_weather\"] == \"WET\":\n",
    "            compound_counter[\"WET\"] +=1\n",
    "        elif GP_data[driver][session+\"_weather\"] == \"INTERMEDIATE\":\n",
    "            compound_counter[\"INTERMEDIATE\"] +=1\n",
    "        elif GP_data[driver][session+\"_weather\"] == \"DRY\":\n",
    "            compound_counter[\"DRY\"] += 1\n",
    "    weather_cond = max(compound_counter, key = compound_counter.get)\n",
    "\n",
    "    for driver in GP_data:\n",
    "        GP_data[driver][session+\"_weather\"]=weather_cond\n",
    "    return GP_data\n",
    "\n",
    "    \n",
    "for year in seasons:\n",
    "    for GP in seasons[year]:\n",
    "        track = seasons[year][GP]\n",
    "       \n",
    "        \n",
    "        drivers = get_qualified_drivers(year, GP)\n",
    "        GP_df = pd.DataFrame(columns = df.columns)\n",
    "        \n",
    "        GP_missed_sessions = {drv: [] for drv in drivers}\n",
    "        GP_participated_sessions = {drv: [] for drv in drivers}\n",
    "        \n",
    "        GP_data = {drv: {key: None for key in df.columns} for drv in drivers}\n",
    "        \n",
    "        \n",
    "        for driver in drivers:\n",
    "\n",
    "            GP_data[driver]['Year'] = year\n",
    "            GP_data[driver]['Round']= GP\n",
    "            GP_data[driver]['Track'] = track\n",
    "            GP_data[driver]['Driver'] = driver\n",
    "            #GP_df = GP_df.append(data, ignore_index=True)\n",
    "            \n",
    "        \n",
    "        \n",
    "        for session_name in sessions: # for FP1, FP2, FP3 and Q\n",
    "            #In 2021 Qualifying for the Italian, British and Brazilian GP took part direktly after FP1, as F1 tried out a new\n",
    "            #\"Sprint\" Weekend Format. More Info on that:\n",
    "            #https://www.formula1.com/en/latest/article.everything-you-need-to-know-about-the-f1-sprint-format-as-it-returns-this.6UbqdBk5NcJ2maGFiTSQv8.html#:~:text=F1%20Sprint%20is%20a%20race,without%20the%20need%20to%20pit.\n",
    "            #Therefore, we do not have the data from the other two practice sessions available to make predictions\n",
    "            if not ((year == 2021) and (track in sprint_tracks) and (session_name in [\"FP2\", \"FP3\"])):\n",
    "                try:\n",
    "                    session = ff1.get_session(year, GP, session_name)\n",
    "                    laps = session.load_laps(with_telemetry=False)\n",
    "\n",
    "                except Exception as e:\n",
    "                    print(e)\n",
    "                    break\n",
    "\n",
    "                if session_name == 'Q':\n",
    "                    update_pole_times(GP_data, year, track, laps)\n",
    "\n",
    "\n",
    "                for driver in drivers:\n",
    "                    try:\n",
    "                        acc_driver_laps = laps.pick_accurate().pick_driver(driver)\n",
    "                        fastest = acc_driver_laps.pick_fastest()\n",
    "\n",
    "                        GP_data[driver][session_name+\"_weather\"] = get_weather_cond(fastest[\"Compound\"])\n",
    "                        GP_data[driver][session_name+\"_time\"] = convert_to_ms(fastest[\"LapTime\"])\n",
    "\n",
    "                        GP_data[driver]['Team'] = get_current_teamname(fastest['Team'])\n",
    "\n",
    "                        if session_name != \"Q\":\n",
    "                            update_fastest_Sectores(driver, acc_driver_laps)\n",
    "                            GP_data[driver][session_name+\"_tyre_life\"] = fastest[\"TyreLife\"]\n",
    "\n",
    "\n",
    "                        else:\n",
    "                            GP_data[driver]['Q_time'] = convert_to_ms(fastest['LapTime'])\n",
    "                            GP_data[driver]['Q_delta'] = convert_to_ms(fastest['LapTime'])-pole_times[year][track][\"time\"]\n",
    "                            GP_data[driver]['Q_track_temp'] = fastest.get_weather_data()['TrackTemp']\n",
    "                            GP_data[driver]['Q_air_temp'] = fastest.get_weather_data()['AirTemp']\n",
    "\n",
    "                        GP_participated_sessions[driver].append(session_name)\n",
    "\n",
    "                    except Exception as e:\n",
    "                        print(e)\n",
    "                        print(\"d\")\n",
    "                        #handle_missed_session(session_name)\n",
    "                        GP_missed_sessions[driver].append(session_name)\n",
    "                        \n",
    "                GP_data = set_session_weather(GP_data, session_name)\n",
    "                \n",
    "\n",
    "            \n",
    "            \n",
    "        #Majority vote of what the weather conditions were in Quali\n",
    "        compound_counter = {\"WET\":0, \"INTERMEDIATE\":0, \"DRY\":0}\n",
    "        for driver in GP_data:\n",
    "            if GP_data[driver][\"Q_weather\"] == \"WET\":\n",
    "                compound_counter[\"WET\"] +=1\n",
    "            elif GP_data[driver][\"Q_weather\"] == \"INTERMEDIATE\":\n",
    "                compound_counter[\"INTERMEDIATE\"] +=1\n",
    "            elif GP_data[driver][\"Q_weather\"] == \"DRY\":\n",
    "                compound_counter[\"DRY\"] += 1\n",
    "        Q_weather_cond = max(compound_counter, key = compound_counter.get)\n",
    "        \n",
    "        update_avg_improvs(GP_data, year, track, Q_weather_cond)#trocken training, nass quali-> avg_improv ist verschlechterung!\n",
    "                                                                            #-> overflow (Spa 2021) 23days ...\n",
    "        for driver in drivers:\n",
    "            try:\n",
    "                df = df.append(GP_data[driver], ignore_index = True)\n",
    "            except Exception as e:\n",
    "                    print(e)\n",
    "                    print(\"y\")\n",
    "                    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#due to heavy rain and changable conditions during the Qualifying of the Belgium Grand Prix,\n",
    "#cars that were eliminated in the early stages of the qulifying ended up setting faster laps than the ultimate\n",
    "#pole sitter, as the track got increasingly wet. Therefore, we will ignore the 2021 Belgium GP.\n",
    "#Abu Dhabi and Sochi get deleted as we do not have AWS predictions for those events\n",
    "to_delete = [12, 22, 15]\n",
    "\n",
    "\n",
    "for rnd in to_delete:\n",
    "    df.loc[(df.Year==2021) & (df.Round==rnd), \"Q_time\"] = None\n",
    "    df.loc[(df.Year==2021) & (df.Round==rnd), \"Q_delta\"] = None\n",
    "    \n",
    "\n",
    "pd.set_option(\"display.max_rows\", None, \"display.max_columns\", None) #zeig mir alle df zeilen\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Attempt to directly include historical data into the instances.\n",
    "#Not used in final version!\n",
    "\n",
    "\n",
    "# avg_improv_over_years = {year: {track: 0 for track in track_list} for year in avg_improvs}\n",
    "# total_avg_improv = {year: {track: {\"improv\":0, \"num\":0} for track in track_list} for year in avg_improvs}\n",
    "\n",
    "# dummy_avg_improv = {year: 0 for year in avg_improvs}\n",
    "# dummy_total_improv = {year: {\"improv\":0, \"num\":0} for year in avg_improvs}\n",
    "\n",
    "        \n",
    "# for year, track_dict in avg_improvs.items():\n",
    "#     for track, val_dict in track_dict.items():\n",
    "#         for y in avg_improvs:\n",
    "#             if y>year:\n",
    "#                 try:\n",
    "#                     if val_dict[\"Q_weather_cond\"] == \"DRY\":\n",
    "#                         if (not pd.isnull(val_dict[\"improv\"])) and (not val_dict[\"improv\"]==0):\n",
    "#                             try:\n",
    "\n",
    "#                                 total_avg_improv[y][track][\"improv\"] += val_dict[\"improv\"]\n",
    "#                                 total_avg_improv[y][track][\"num\"] += 1\n",
    "#                             except Exception as e:\n",
    "#                                 print(\"ERROR: COULD ADD AVG_IMPROVS FOR\", year,y, track)\n",
    "#                                 print(e)\n",
    "#                                 pass\n",
    "#                 except:\n",
    "#                     print(\"a\")\n",
    "#                     print(\"val_dict[Q_weather_cond] = None\")\n",
    "                    \n",
    "# for year, track_dict in avg_improvs.items():\n",
    "#     year_sum = 0\n",
    "#     year_num = 0\n",
    "#     for track, val_dict in track_dict.items():\n",
    "#         try:\n",
    "                        \n",
    "#             if val_dict[\"Q_weather_cond\"] == 'DRY':\n",
    "#                 if val_dict[\"improv\"] != None and val_dict[\"improv\"] != 0:\n",
    "#                     year_sum += val_dict[\"improv\"]\n",
    "#                     year_num += 1\n",
    "#         except Exception as e:\n",
    "#             print(\"b\")\n",
    "#             print(e)\n",
    "#             print(val_dict)\n",
    "\n",
    "    \n",
    "#     for later_year in seasons:\n",
    "#         if later_year > year:\n",
    "#             try:\n",
    "                \n",
    "#                 dummy_total_improv[later_year][\"improv\"] += year_sum\n",
    "#                 dummy_total_improv[later_year][\"num\"] += year_num\n",
    "#             except Exception as e:\n",
    "#                 print(\"ERROR: dummy_total_improv\")\n",
    "#                 print(year, track, later_year, avg_improv)\n",
    "#     try:\n",
    "#         dummy_avg_improv[later_year]=dummy_total_improv[later_year][\"improv\"]/dummy_total_improv[later_year][\"num\"]\n",
    "#     except:\n",
    "#         pass\n",
    "\n",
    "\n",
    "# for year, track_dict in total_avg_improv.items():\n",
    "#     for track, val_dict in track_dict.items():\n",
    "#         total = 0\n",
    "#         num = 0\n",
    "        \n",
    "\n",
    "#         if total_avg_improv[year][track][\"num\"] >0:\n",
    "#             avg_improv_over_years[year][track] = total_avg_improv[year][track][\"improv\"]/total_avg_improv[year][track][\"num\"]\n",
    "        \n",
    "#         else:\n",
    "#             avg_improv_over_years[year][track] = None\n",
    "\n",
    "# for year in seasons:\n",
    "#     for track in track_list:\n",
    "#         try:                 \n",
    "#             df.loc[(df['Track']==track) & (df['Year']==year), 'avg_improv'] = avg_improv_over_years[year][track]\n",
    "#         except Exception as e:\n",
    "#             print(\"ERROR: avg_improv_over_years\", year, track)\n",
    "#             print(e)\n",
    "#             df.loc[(df['Track']==track) & (df['Year']==year), 'avg_improv'] = None\n",
    "        \n",
    "#         for y in reversed(range(2018, year)):\n",
    "#             if (pole_times[y][track][\"time\"] is not None) and (pole_times[y][track][\"time\"]!= 0):\n",
    "#                 try:\n",
    "#                     if pole_times[y][track][\"Q_weather_cond\"] == \"DRY\":\n",
    "#                         try:\n",
    "#                             df.loc[(df['Track']==track) & (df['Year']==year), 'last_pole_time'] = pole_times[y][track][\"time\"]\n",
    "#                         except Exception as e:\n",
    "#                             print(\"ERROR: Last years Pole\", year, track)\n",
    "#                             df.loc[(df['Track']==track) & (df['Year']==year), 'last_pole_time'] = None\n",
    "#                 except:\n",
    "#                     pass\n",
    "\n",
    "# df['last_pole_time'].replace({0: None}, inplace=True)\n",
    "                          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Quali results, ohne zb spa, sochi, abu dhabi 2021\n",
    "Q_Results_2021 = get_2021_Q_Results(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_enc = df.copy()\n",
    "\n",
    "#le = LabelEncoder()\n",
    "#le_cols = ['FP1_tyre', 'FP2_tyre', 'FP3_tyre', 'Q_tyre']\n",
    "\n",
    "oh_cols = ['Track', 'Driver', 'Team']\n",
    "\n",
    "oh = pd.get_dummies(data=df_enc, prefix=\"oh\", columns = oh_cols)\n",
    "df_enc = df_enc.merge(oh)\n",
    "# df_enc = df_enc.drop(oh_cols, axis = 1)\n",
    "\n",
    "\n",
    "driver_list = df['Driver'].unique()\n",
    "oh_drivers = []\n",
    "for driver in driver_list:\n",
    "    try:\n",
    "        oh_drivers.append('oh_'+driver)\n",
    "    except:\n",
    "        pass\n",
    "    \n",
    "team_list = df['Team'].unique()\n",
    "oh_teams = []\n",
    "for team in team_list:\n",
    "    try: \n",
    "        oh_teams.append('oh_'+team)\n",
    "    except:\n",
    "        pass\n",
    "\n",
    "\n",
    "track_list = df['Track'].unique()\n",
    "oh_tracks = []\n",
    "for track in track_list:\n",
    "    oh_tracks.append('oh_'+track)\n",
    "\n",
    "#only use GPs with dry quali, FP2, FP3, isnull in order to keep Sprint weekends\n",
    "dry_df = df_enc.loc[((df_enc['Q_weather'] == \"DRY\")|(df_enc['Q_weather'].isnull()))  \n",
    "                & ((df_enc['FP2_weather'] == \"DRY\")|(df_enc['FP2_weather'].isnull())) \n",
    "                & ((df_enc['FP3_weather'] == \"DRY\")|(df_enc['FP3_weather'].isnull()))]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "info = [\"Year\", \"Round\", 'Driver', \"Q_time\"]\n",
    "#creating the Feature Sets\n",
    "variables_dict= {1: [\"T_fastest\"], \n",
    "                 2: ['FP2_time', 'FP3_time'], \n",
    "                 3: ['T_fastest', 'FP2_time', 'FP3_time'],\n",
    "                 4: ['T_fastest', 'FP2_time', 'FP3_time', \"FP2_tyre_life\", \"FP3_tyre_life\"],\n",
    "                 5: ['T_fastest', 'FP2_time', 'FP3_time']+oh_drivers, \n",
    "                 6: ['T_fastest', 'FP2_time', 'FP3_time']+oh_teams, \n",
    "                 7: ['T_fastest', 'FP2_time', 'FP3_time', \"FP2_tyre_life\", \"FP3_tyre_life\"]+oh_drivers, \n",
    "                 8: ['T_fastest', 'FP2_time', 'FP3_time', \"FP2_tyre_life\", \"FP3_tyre_life\"]+oh_teams,\n",
    "                 9: ['T_fastest', 'FP2_time', 'FP3_time', \"FP2_tyre_life\", \"FP3_tyre_life\"]+oh_drivers+oh_tracks,\n",
    "                 10: ['T_fastest', 'FP2_time', 'FP3_time', \"FP2_tyre_life\", \"FP3_tyre_life\"]+oh_teams+oh_tracks,\n",
    "                 11: ['T_fastest', 'FP2_time', 'FP3_time']+oh_tracks, \n",
    "                 12: ['T_fastest', 'FP2_time', 'FP3_time', \"FP2_tyre_life\", \"FP3_tyre_life\"]+oh_tracks\n",
    "               }\n",
    "models = [\"LinReg\", \"QuadReg\", \"CubReg\", \"MLPR\"]\n",
    "\n",
    "eval_dict = {(model, variables):\n",
    "             {\"model\": None, \"predicted_GPs\": [], \"num_pred_GPs\": np.nan, \"num_preds\": np.nan,\n",
    "              \"X_train\": None, \"y_train\": None, \"X_test\": None, \"y_test\": None, \"pred_test\": None, \"coefs\": None,\n",
    "              \"mod_diff_list\": [], \"mod_r2\": np.nan, \"mod_mean_abs_er\": np.nan, \"mod_median_abs_er\": np.nan, \"mod_s\": np.nan, \n",
    "              \"AWS_diff_list\": [], \"AWS_r2\": np.nan, \"AWS_mean_abs_er\": np.nan, \"AWS_median_abs_er\": np.nan, \"AWS_s\": np.nan} \n",
    "             for (model, variables) in list(itertools.product(models, variables_dict.keys()))}\n",
    "\n",
    "#dictionary with dfs that only contain certain variables, rows with NaN values are dropped\n",
    "red_df_dict = {key: dry_df[info + variables_dict[key]].copy() for key in variables_dict.keys()}\n",
    "\n",
    "for key in red_df_dict.keys():\n",
    "    red_df_dict[key].dropna(inplace=True)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Instances 1300\n",
      "Feature Set 1 #TrainInst: 966\n",
      "Feature Set 2 #TrainInst: 946\n",
      "Feature Set 3 #TrainInst: 946\n",
      "Feature Set 4 #TrainInst: 906\n",
      "Feature Set 5 #TrainInst: 946\n",
      "Feature Set 6 #TrainInst: 946\n",
      "Feature Set 7 #TrainInst: 906\n",
      "Feature Set 8 #TrainInst: 906\n",
      "Feature Set 9 #TrainInst: 906\n",
      "Feature Set 10 #TrainInst: 906\n",
      "Feature Set 11 #TrainInst: 946\n",
      "Feature Set 12 #TrainInst: 906\n"
     ]
    }
   ],
   "source": [
    "#find cardinality of training data set for each feature set\n",
    "dry_count_df = dry_df[dry_df[\"Q_time\"].notna()]\n",
    "print(\"Number of Instances\", dry_count_df.shape[0])\n",
    "for key in red_df_dict.keys():\n",
    "    print(\"Feature Set\", key, \"#TrainInst:\", red_df_dict[key].loc[red_df_dict[key]['Year']!=2021].shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Given Dataframe with 2021 predictions. If >=10 predictions for an event, counts as predicted.\n",
    "#used for comparison to AWS predictions\n",
    "def get_predicted_GPs(season_prediction):\n",
    "    predicted_GPs = []\n",
    "    counts = season_prediction[\"Round\"].value_counts()\n",
    "    for rnd, count in counts.items():\n",
    "        if count >= 10:\n",
    "            predicted_GPs.append(rnd)\n",
    "    predicted_GPs.sort()\n",
    "    return predicted_GPs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Load 2021 AWS Qualifying Predictions\n",
    "AWS_pred_dict = {GP_name: None for  GP_name in GP_names_2021}\n",
    "for GP_name in GP_names_2021:\n",
    "    if GP_name not in [\"Russia\", \"Abu Dhabi\"]:\n",
    "        AWS_pred_dict[GP_name] = pd.read_excel(os.getcwd()+\"/AWS_Predictions/\"+GP_name+\".ods\", engine=\"odf\",\n",
    "                                                 header=None, names=[\"Driver\", \"AWS_delta\"])\n",
    "        AWS_pred_dict[GP_name][\"AWS_delta\"]=1000*AWS_pred_dict[GP_name][\"AWS_delta\"]\n",
    "        AWS_pred_dict[GP_name][\"Round\"]=GP_names_2021.index(GP_name)+1\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "AWS_prediction = pd.DataFrame(columns = [\"Round\", \"Driver\", \"AWS_delta\"])\n",
    "\n",
    "for gp_name in GP_names_2021:\n",
    "    AWS_prediction = pd.concat([AWS_prediction, AWS_pred_dict[gp_name]])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "cross_compair= {(\"LinReg\", 1):None, (\"QuadReg\", 8):None}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Linear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "info = [\"Year\", \"Round\", 'Driver', \"Q_time\"]\n",
    "for key, variables in variables_dict.items():\n",
    "\n",
    "    eval_entry = {\"model\": None, \"predicted_GPs\": [], \"num_pred_GPs\": np.nan, \"num_preds\": np.nan,\n",
    "              \"X_train\": None, \"y_train\": None, \"X_test\": None, \"y_test\": None, \"pred_test\": None, \"coefs\": None,\n",
    "              \"mod_diff_list\": [], \"mod_r2\": np.nan, \"mod_mean_abs_er\": np.nan, \"mod_median_abs_er\": np.nan, \"mod_s\": np.nan, \n",
    "              \"AWS_diff_list\": [], \"AWS_r2\": np.nan, \"AWS_mean_abs_er\": np.nan, \"AWS_median_abs_er\": np.nan, \"AWS_s\": np.nan} \n",
    "\n",
    "\n",
    "\n",
    "    X_past = red_df_dict[key].loc[red_df_dict[key]['Year']!=2021]\n",
    "    X_2021 = red_df_dict[key].loc[red_df_dict[key]['Year']==2021]\n",
    "\n",
    "    X_train_unfit = X_past.drop(['Q_time', 'Year', 'Round', 'Driver'], axis=1)\n",
    "    y_train = X_past['Q_time']\n",
    "\n",
    "    #creating the model\n",
    "    sc = StandardScaler()\n",
    "    X_train = sc.fit_transform(X_train_unfit)\n",
    "    feature_names = X_train_unfit.columns\n",
    "\n",
    "    regr = linear_model.LinearRegression()\n",
    "    regr.fit(X_train, y_train)\n",
    "    \n",
    "    \n",
    "    eval_entry[\"coefs\"] = pd.DataFrame(\n",
    "        regr.coef_,\n",
    "        columns=[\"Coefficient importance\"],\n",
    "        index=feature_names,\n",
    "    )\n",
    "    \n",
    "\n",
    "    GP_dict_2021 = {rnd: X_2021.loc[(X_2021[\"Round\"]==rnd), X_2021.columns] for rnd in rounds_2021}\n",
    "\n",
    "    for rnd in GP_dict_2021:\n",
    "\n",
    "        GP_dict_2021[rnd][\"Q_delta\"] = np.nan\n",
    "        GP_dict_2021[rnd][\"Pred_delta\"] = np.nan\n",
    "        GP_dict_2021[rnd][\"Round\"] = GP_dict_2021[rnd][\"Round\"].astype(dtype=int, copy=False)\n",
    "\n",
    "\n",
    "        X_test = X_2021.loc[(X_2021[\"Round\"]==rnd)].drop(info, axis=1)\n",
    "        y_test= X_2021.loc[(X_2021[\"Round\"]==rnd)]['Q_time']\n",
    "\n",
    "        fastest_Q = y_test.min()\n",
    "        GP_dict_2021[rnd][\"Q_delta\"] = GP_dict_2021[rnd][\"Q_time\"]-fastest_Q\n",
    "\n",
    "        try:\n",
    "            X_test = sc.transform(X_test)\n",
    "            prediction = regr.predict(X_test)\n",
    "\n",
    "            fastest_Pred = prediction.min()\n",
    "            GP_dict_2021[rnd][\"Pred_delta\"]=prediction-fastest_Pred\n",
    "        except:\n",
    "            pass\n",
    "\n",
    "    model_prediction = pd.DataFrame(columns = GP_dict_2021[rnd].columns)\n",
    "    for rnd in GP_dict_2021:\n",
    "        model_prediction = pd.concat([model_prediction, GP_dict_2021[rnd]])\n",
    "\n",
    "\n",
    "    complete = pd.merge(model_prediction, AWS_prediction, how='left', on=[\"Round\", \"Driver\"])\n",
    "    \n",
    "    #hotfix, sonst beide NaN aus mir unerklärlichen Gründen\n",
    "    complete.loc[(complete.Driver ==\"SAI\")&(complete.Round==5), \"AWS_delta\"]=0\n",
    "    complete.loc[(complete.Driver ==\"HAM\")&(complete.Round==13), \"AWS_delta\"]=0.7\n",
    "    complete = complete.dropna()\n",
    "    \n",
    "    if key ==1:\n",
    "        cross_compair[(\"LinReg\", 1)] = complete\n",
    "\n",
    "\n",
    "    real = complete[\"Q_delta\"].tolist()\n",
    "    mod_pred = complete[\"Pred_delta\"].tolist()\n",
    "    aws_pred = complete[\"AWS_delta\"].tolist()\n",
    "    \n",
    "    eval_entry[\"model\"] = regr\n",
    "    eval_entry[\"predicted_GPs\"] = get_predicted_GPs(complete)\n",
    "    eval_entry[\"num_pred_GPs\"] = len(eval_entry[\"predicted_GPs\"])\n",
    "    eval_entry[\"num_preds\"] = complete.shape[0]\n",
    "    \n",
    "    eval_entry[\"X_train\"] = X_train\n",
    "    eval_entry[\"y_test\"] = y_test\n",
    "    eval_entry[\"X_test\"] = X_test\n",
    "    eval_entry[\"y_test\"] = y_test\n",
    "    eval_entry[\"pred_test\"]= prediction\n",
    "    \n",
    "    eval_entry[\"mod_diff_list\"] = [abs(r-p) for (r, p) in zip(real, mod_pred)]\n",
    "    eval_entry[\"mod_r2\"] = r2_score(real, mod_pred)\n",
    "    eval_entry[\"mod_mean_abs_er\"] = mean_absolute_error(real, mod_pred)\n",
    "    eval_entry[\"mod_median_abs_er\"] = median_absolute_error(real, mod_pred)\n",
    "    eval_entry[\"mod_s\"] = statistics.stdev(eval_entry[\"mod_diff_list\"])\n",
    "\n",
    "    eval_entry[\"AWS_diff_list\"] = [abs(r-a) for (r, a) in zip(real, aws_pred)]\n",
    "    eval_entry[\"AWS_r2\"] = r2_score(real, aws_pred)\n",
    "    eval_entry[\"AWS_mean_abs_er\"] = mean_absolute_error(real, aws_pred)\n",
    "    eval_entry[\"AWS_median_abs_er\"] = median_absolute_error(real, aws_pred)\n",
    "    eval_entry[\"AWS_s\"] = statistics.stdev(eval_entry[\"AWS_diff_list\"])\n",
    "\n",
    "    eval_dict[(\"LinReg\", key)] = eval_entry\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Polynomial Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "info = [\"Year\", \"Round\", 'Driver', \"Q_time\"]\n",
    "degrees = [2,3]\n",
    "for deg in degrees:\n",
    "    for key, variables in variables_dict.items():\n",
    "\n",
    "        eval_entry = {\"model\": None, \"predicted_GPs\": [], \"num_pred_GPs\": np.nan, \"num_preds\": np.nan,\n",
    "              \"X_train\": None, \"y_train\": None, \"X_test\": None, \"y_test\": None, \"pred_test\": None, \"coefs\": None,\n",
    "              \"mod_diff_list\": [], \"mod_r2\": np.nan, \"mod_mean_abs_er\": np.nan, \"mod_median_abs_er\": np.nan, \"mod_s\": np.nan, \n",
    "              \"AWS_diff_list\": [], \"AWS_r2\": np.nan, \"AWS_mean_abs_er\": np.nan, \"AWS_median_abs_er\": np.nan, \"AWS_s\": np.nan} \n",
    "\n",
    "\n",
    "\n",
    "        X_past = red_df_dict[key].loc[red_df_dict[key]['Year']!=2021]\n",
    "        X_2021 = red_df_dict[key].loc[red_df_dict[key]['Year']==2021]\n",
    "\n",
    "        X_train_unfit = X_past.drop(['Q_time', 'Year', 'Round', 'Driver'], axis=1)\n",
    "        y_train = X_past['Q_time']\n",
    "\n",
    "        #creating the model\n",
    "        poly = PolynomialFeatures(degree=deg)\n",
    "        X_train = poly.fit_transform(X_train_unfit)\n",
    "\n",
    "        regr = linear_model.LinearRegression()\n",
    "        regr.fit(X_train, y_train)\n",
    "        \n",
    "        feature_names = poly.get_feature_names_out(X_train_unfit.columns)\n",
    "        \n",
    "        eval_entry[\"coefs\"] = pd.DataFrame(\n",
    "            regr.coef_\n",
    "            * X_train.std(axis=0),\n",
    "            columns=[\"Coefficient importance\"],\n",
    "            index=feature_names,\n",
    "        )\n",
    "        \n",
    "\n",
    "        GP_dict_2021 = {rnd: X_2021.loc[(X_2021[\"Round\"]==rnd), X_2021.columns] for rnd in rounds_2021}\n",
    "\n",
    "        for rnd in GP_dict_2021:\n",
    "            GP_dict_2021[rnd][\"Q_delta\"] = np.nan\n",
    "            GP_dict_2021[rnd][\"Pred_delta\"] = np.nan\n",
    "            GP_dict_2021[rnd][\"Round\"] = GP_dict_2021[rnd][\"Round\"].astype(dtype=int, copy=False)\n",
    "\n",
    "\n",
    "            X_test = X_2021.loc[(X_2021[\"Round\"]==rnd)].drop(info, axis=1)\n",
    "            y_test= X_2021.loc[(X_2021[\"Round\"]==rnd)]['Q_time']\n",
    "\n",
    "            fastest_Q = y_test.min()\n",
    "            GP_dict_2021[rnd][\"Q_delta\"] = GP_dict_2021[rnd][\"Q_time\"]-fastest_Q\n",
    "\n",
    "            try:\n",
    "                X_test = poly.fit_transform(X_test)\n",
    "                prediction = regr.predict(X_test)\n",
    "\n",
    "                fastest_Pred = prediction.min()\n",
    "                GP_dict_2021[rnd][\"Pred_delta\"]=prediction-fastest_Pred\n",
    "            except:\n",
    "                pass\n",
    "\n",
    "        model_prediction = pd.DataFrame(columns = GP_dict_2021[rnd].columns)\n",
    "        for rnd in GP_dict_2021:\n",
    "            model_prediction = pd.concat([model_prediction, GP_dict_2021[rnd]])\n",
    "\n",
    "\n",
    "        complete = pd.merge(model_prediction, AWS_prediction, how='left', on=[\"Round\", \"Driver\"])\n",
    "\n",
    "        #hotfix, sonst beide NaN aus mir unerklärlichen Gründen\n",
    "        complete.loc[(complete.Driver ==\"SAI\")&(complete.Round==5), \"AWS_delta\"]=0\n",
    "        complete.loc[(complete.Driver ==\"HAM\")&(complete.Round==13), \"AWS_delta\"]=0.7\n",
    "        complete = complete.dropna()\n",
    "        \n",
    "        if (key ==8) and (deg==2):\n",
    "            cross_compair[(\"QuadReg\", 8)] = complete\n",
    "\n",
    "        real = complete[\"Q_delta\"].tolist()\n",
    "        mod_pred = complete[\"Pred_delta\"].tolist()\n",
    "        aws_pred = complete[\"AWS_delta\"].tolist()\n",
    "\n",
    "        eval_entry[\"model\"] = regr\n",
    "        eval_entry[\"predicted_GPs\"] = get_predicted_GPs(complete)\n",
    "        eval_entry[\"num_pred_GPs\"] = len(eval_entry[\"predicted_GPs\"])\n",
    "        eval_entry[\"num_preds\"] = complete.shape[0]\n",
    "        \n",
    "        eval_entry[\"X_train\"] = X_train\n",
    "        eval_entry[\"y_test\"] = y_test\n",
    "        eval_entry[\"X_test\"] = X_test\n",
    "        eval_entry[\"y_test\"] = y_test\n",
    "        eval_entry[\"pred_test\"]= prediction\n",
    "\n",
    "        eval_entry[\"mod_diff_list\"] = [abs(r-p) for (r, p) in zip(real, mod_pred)]\n",
    "        eval_entry[\"mod_r2\"] = r2_score(real, mod_pred)\n",
    "        eval_entry[\"mod_mean_abs_er\"] = mean_absolute_error(real, mod_pred)\n",
    "        eval_entry[\"mod_median_abs_er\"] = median_absolute_error(real, mod_pred)\n",
    "        eval_entry[\"mod_s\"] = statistics.stdev(eval_entry[\"mod_diff_list\"])\n",
    "\n",
    "        eval_entry[\"AWS_diff_list\"] = [abs(r-a) for (r, a) in zip(real, aws_pred)]\n",
    "        eval_entry[\"AWS_r2\"] = r2_score(real, aws_pred)\n",
    "        eval_entry[\"AWS_mean_abs_er\"] = mean_absolute_error(real, aws_pred)\n",
    "        eval_entry[\"AWS_median_abs_er\"] = median_absolute_error(real, aws_pred)\n",
    "        eval_entry[\"AWS_s\"] = statistics.stdev(eval_entry[\"AWS_diff_list\"])\n",
    "        \n",
    "        if deg==2:\n",
    "            eval_dict[(\"QuadReg\", key)] = eval_entry\n",
    "        elif deg==3:\n",
    "            eval_dict[(\"CubReg\", key)] = eval_entry\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multilayer Perceptron Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting with  (MLPR,  1 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(8, 8, 8, 8), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-529.927) neg_median_absolute_error: (test=-391.293) r2: (test=0.994) total time=   0.0s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(8, 8, 8, 8), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-465.092) neg_median_absolute_error: (test=-369.253) r2: (test=0.997) total time=   0.0s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128), max_iter=1750, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-529.927) neg_median_absolute_error: (test=-391.293) r2: (test=0.994) total time=   0.3s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128), max_iter=1750, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-465.092) neg_median_absolute_error: (test=-369.253) r2: (test=0.997) total time=   0.2s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128, 128), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-529.927) neg_median_absolute_error: (test=-391.293) r2: (test=0.994) total time=   0.2s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128, 128), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-465.092) neg_median_absolute_error: (test=-369.254) r2: (test=0.997) total time=   0.3s\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(256, 256), max_iter=1000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-529.927) neg_median_absolute_error: (test=-391.293) r2: (test=0.994) total time=   0.3s\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(256, 256), max_iter=1000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-465.092) neg_median_absolute_error: (test=-369.253) r2: (test=0.997) total time=   0.3s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(2048, 2048), max_iter=1750, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-529.927) neg_median_absolute_error: (test=-391.293) r2: (test=0.994) total time=  16.8s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(2048, 2048), max_iter=1750, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-465.092) neg_median_absolute_error: (test=-369.253) r2: (test=0.997) total time=  25.8s\n",
      "Starting with  (MLPR,  2 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(32, 32, 32, 32), max_iter=1750, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-692.756) neg_median_absolute_error: (test=-409.758) r2: (test=0.979) total time=   0.0s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(32, 32, 32, 32), max_iter=1750, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-610.564) neg_median_absolute_error: (test=-470.477) r2: (test=0.995) total time=   0.0s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(32, 32, 32, 32), max_iter=2000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-692.756) neg_median_absolute_error: (test=-409.758) r2: (test=0.979) total time=   0.0s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(32, 32, 32, 32), max_iter=2000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-610.564) neg_median_absolute_error: (test=-470.477) r2: (test=0.995) total time=   0.0s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256, 256), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-692.756) neg_median_absolute_error: (test=-409.758) r2: (test=0.979) total time=   0.6s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256, 256), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-610.564) neg_median_absolute_error: (test=-470.479) r2: (test=0.995) total time=   0.6s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(32, 32, 32), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-692.756) neg_median_absolute_error: (test=-409.760) r2: (test=0.979) total time=   0.0s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(32, 32, 32), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-610.563) neg_median_absolute_error: (test=-470.490) r2: (test=0.995) total time=   0.0s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(256, 256, 256), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-692.756) neg_median_absolute_error: (test=-409.758) r2: (test=0.979) total time=   0.6s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(256, 256, 256), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-610.564) neg_median_absolute_error: (test=-470.479) r2: (test=0.995) total time=   0.6s\n",
      "Starting with  (MLPR,  3 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(32, 32, 32), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-585.356) neg_median_absolute_error: (test=-386.188) r2: (test=0.991) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(32, 32, 32), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-455.160) neg_median_absolute_error: (test=-363.822) r2: (test=0.997) total time=   0.1s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(2048, 2048), max_iter=1500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-585.356) neg_median_absolute_error: (test=-386.188) r2: (test=0.991) total time=  39.9s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(2048, 2048), max_iter=1500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-455.160) neg_median_absolute_error: (test=-363.822) r2: (test=0.997) total time=  39.9s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-585.356) neg_median_absolute_error: (test=-386.188) r2: (test=0.991) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-455.160) neg_median_absolute_error: (test=-363.822) r2: (test=0.997) total time=   0.2s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(2048, 2048), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-585.356) neg_median_absolute_error: (test=-386.188) r2: (test=0.991) total time=  41.1s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(2048, 2048), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-455.160) neg_median_absolute_error: (test=-363.822) r2: (test=0.997) total time=  40.6s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=1500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-585.357) neg_median_absolute_error: (test=-386.186) r2: (test=0.991) total time=   4.4s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=1500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-455.160) neg_median_absolute_error: (test=-363.822) r2: (test=0.997) total time=   2.3s\n",
      "Starting with  (MLPR,  4 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(64, 64, 64), max_iter=1000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-585.681) neg_median_absolute_error: (test=-374.886) r2: (test=0.991) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(64, 64, 64), max_iter=1000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-448.455) neg_median_absolute_error: (test=-352.144) r2: (test=0.997) total time=   0.1s\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(32, 32, 32, 32), max_iter=1000, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-585.677) neg_median_absolute_error: (test=-374.887) r2: (test=0.991) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(32, 32, 32, 32), max_iter=1000, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-448.454) neg_median_absolute_error: (test=-352.149) r2: (test=0.997) total time=   0.1s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(16, 16, 16, 16), max_iter=500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-585.681) neg_median_absolute_error: (test=-374.886) r2: (test=0.991) total time=   0.0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(16, 16, 16, 16), max_iter=500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-448.454) neg_median_absolute_error: (test=-352.153) r2: (test=0.997) total time=   0.1s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(32, 32, 32), max_iter=1500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-585.681) neg_median_absolute_error: (test=-374.886) r2: (test=0.991) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(32, 32, 32), max_iter=1500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-448.452) neg_median_absolute_error: (test=-352.125) r2: (test=0.997) total time=   0.1s\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(8, 8, 8, 8), max_iter=1500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-585.674) neg_median_absolute_error: (test=-374.878) r2: (test=0.991) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(8, 8, 8, 8), max_iter=1500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-448.454) neg_median_absolute_error: (test=-352.151) r2: (test=0.997) total time=   0.1s\n",
      "Starting with  (MLPR,  5 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(1024, 1024), max_iter=1000, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-11356.669) neg_median_absolute_error: (test=-509.131) r2: (test=-4.160) total time=  44.7s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(1024, 1024), max_iter=1000, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-2984.977) neg_median_absolute_error: (test=-369.449) r2: (test=-0.485) total time=  59.6s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(32, 32, 32), max_iter=1250, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-15555.179) neg_median_absolute_error: (test=-509.183) r2: (test=-8.819) total time=   0.2s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(32, 32, 32), max_iter=1250, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-2772.975) neg_median_absolute_error: (test=-369.507) r2: (test=-0.235) total time=   0.1s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(16, 16, 16, 16), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-10840.194) neg_median_absolute_error: (test=-509.277) r2: (test=-4.399) total time=   0.3s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(16, 16, 16, 16), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-2437.993) neg_median_absolute_error: (test=-369.431) r2: (test=0.065) total time=   0.0s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(8, 8, 8, 8), max_iter=1500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-6077.414) neg_median_absolute_error: (test=-509.158) r2: (test=-1.188) total time=   0.0s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(8, 8, 8, 8), max_iter=1500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-915.044) neg_median_absolute_error: (test=-369.415) r2: (test=0.898) total time=   0.0s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-15655.211) neg_median_absolute_error: (test=-509.165) r2: (test=-8.776) total time=   0.5s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-3043.260) neg_median_absolute_error: (test=-369.330) r2: (test=-0.537) total time=   0.5s\n",
      "Starting with  (MLPR,  6 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(1024, 1024), max_iter=1250, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-565.782) neg_median_absolute_error: (test=-364.092) r2: (test=0.991) total time=  18.9s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(1024, 1024), max_iter=1250, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-447.214) neg_median_absolute_error: (test=-342.950) r2: (test=0.997) total time=  20.5s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(512, 512), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-565.785) neg_median_absolute_error: (test=-364.091) r2: (test=0.991) total time=   3.1s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(512, 512), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-447.208) neg_median_absolute_error: (test=-342.912) r2: (test=0.997) total time=   4.2s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128), max_iter=1000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-565.772) neg_median_absolute_error: (test=-363.966) r2: (test=0.991) total time=   1.2s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128), max_iter=1000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-447.211) neg_median_absolute_error: (test=-342.931) r2: (test=0.997) total time=   0.4s\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(8, 8, 8, 8), max_iter=2000, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-565.688) neg_median_absolute_error: (test=-364.172) r2: (test=0.991) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(8, 8, 8, 8), max_iter=2000, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-447.216) neg_median_absolute_error: (test=-342.883) r2: (test=0.997) total time=   0.1s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(1380, 1380), max_iter=1500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-565.787) neg_median_absolute_error: (test=-364.084) r2: (test=0.991) total time=  34.6s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(1380, 1380), max_iter=1500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-447.209) neg_median_absolute_error: (test=-342.906) r2: (test=0.997) total time=  36.3s\n",
      "Starting with  (MLPR,  7 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(32, 32, 32, 32), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-10695.678) neg_median_absolute_error: (test=-530.259) r2: (test=-4.022) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(32, 32, 32, 32), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-2510.427) neg_median_absolute_error: (test=-370.902) r2: (test=-0.175) total time=   0.1s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=2000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-15968.791) neg_median_absolute_error: (test=-530.189) r2: (test=-8.878) total time=  13.0s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=2000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-2876.601) neg_median_absolute_error: (test=-372.038) r2: (test=-0.634) total time=  44.1s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128, 128), max_iter=250, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-13818.694) neg_median_absolute_error: (test=-530.274) r2: (test=-6.962) total time=   0.5s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128, 128), max_iter=250, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-1089.221) neg_median_absolute_error: (test=-372.518) r2: (test=0.877) total time=   2.3s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(256, 256, 256), max_iter=2000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-15528.217) neg_median_absolute_error: (test=-530.157) r2: (test=-8.676) total time=   5.2s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(256, 256, 256), max_iter=2000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-2042.813) neg_median_absolute_error: (test=-370.797) r2: (test=0.288) total time=   4.2s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(32, 32, 32, 32), max_iter=500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-10695.678) neg_median_absolute_error: (test=-530.259) r2: (test=-4.022) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(32, 32, 32, 32), max_iter=500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-2510.427) neg_median_absolute_error: (test=-370.902) r2: (test=-0.175) total time=   0.1s\n",
      "Starting with  (MLPR,  8 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(1537, 1537), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-564.913) neg_median_absolute_error: (test=-357.550) r2: (test=0.992) total time= 1.6min\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(1537, 1537), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-438.469) neg_median_absolute_error: (test=-327.292) r2: (test=0.997) total time=  53.3s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-564.915) neg_median_absolute_error: (test=-357.549) r2: (test=0.992) total time=   0.2s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-438.463) neg_median_absolute_error: (test=-327.280) r2: (test=0.997) total time=   0.3s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128, 128), max_iter=1750, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-564.909) neg_median_absolute_error: (test=-357.565) r2: (test=0.992) total time=   0.6s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128, 128), max_iter=1750, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-438.464) neg_median_absolute_error: (test=-327.289) r2: (test=0.997) total time=   1.2s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(64, 64, 64), max_iter=1000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-564.911) neg_median_absolute_error: (test=-357.551) r2: (test=0.992) total time=   0.2s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(64, 64, 64), max_iter=1000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-438.464) neg_median_absolute_error: (test=-327.300) r2: (test=0.997) total time=   0.2s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128), max_iter=250, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-564.915) neg_median_absolute_error: (test=-357.549) r2: (test=0.992) total time=   0.3s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(128, 128), max_iter=250, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-438.463) neg_median_absolute_error: (test=-327.280) r2: (test=0.997) total time=   0.3s\n",
      "Starting with  (MLPR,  9 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(32, 32, 32), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-32198.003) neg_median_absolute_error: (test=-1093.725) r2: (test=-19.190) total time=   0.4s\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(32, 32, 32), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-16189.500) neg_median_absolute_error: (test=-527.935) r2: (test=-7.790) total time=   0.5s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(1024, 1024), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-31386.910) neg_median_absolute_error: (test=-1093.812) r2: (test=-18.181) total time= 2.5min\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(1024, 1024), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-16573.329) neg_median_absolute_error: (test=-535.138) r2: (test=-7.819) total time= 4.3min\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-31033.802) neg_median_absolute_error: (test=-1094.034) r2: (test=-17.707) total time=  58.2s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-16581.904) neg_median_absolute_error: (test=-528.094) r2: (test=-7.853) total time=  15.1s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(512, 512), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-31227.770) neg_median_absolute_error: (test=-1094.080) r2: (test=-17.934) total time=  55.3s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(512, 512), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-16576.980) neg_median_absolute_error: (test=-529.014) r2: (test=-7.847) total time=  31.6s\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256), max_iter=1500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-34361.136) neg_median_absolute_error: (test=-1093.748) r2: (test=-21.930) total time=   3.0s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256), max_iter=1500, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-16151.559) neg_median_absolute_error: (test=-528.116) r2: (test=-7.471) total time=   5.5s\n",
      "Starting with  (MLPR,  10 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256), max_iter=250, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-22098.529) neg_median_absolute_error: (test=-634.282) r2: (test=-12.919) total time=   5.0s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256), max_iter=250, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-15695.237) neg_median_absolute_error: (test=-505.799) r2: (test=-7.447) total time=   2.2s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(1537, 1537), max_iter=250, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-21806.726) neg_median_absolute_error: (test=-660.514) r2: (test=-12.502) total time= 2.7min\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(1537, 1537), max_iter=250, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-15620.783) neg_median_absolute_error: (test=-508.315) r2: (test=-7.370) total time= 2.5min\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=250, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-13290.809) neg_median_absolute_error: (test=-637.352) r2: (test=-4.142) total time=  19.5s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=250, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-15867.324) neg_median_absolute_error: (test=-506.470) r2: (test=-7.640) total time=  22.4s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(64, 64, 64), max_iter=500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-19517.015) neg_median_absolute_error: (test=-634.290) r2: (test=-9.838) total time=   0.6s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(64, 64, 64), max_iter=500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-15121.544) neg_median_absolute_error: (test=-505.706) r2: (test=-7.149) total time=   0.2s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(2048, 2048), max_iter=500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-22091.920) neg_median_absolute_error: (test=-620.541) r2: (test=-12.877) total time=10.2min\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(2048, 2048), max_iter=500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-13557.721) neg_median_absolute_error: (test=-489.196) r2: (test=-5.282) total time=10.2min\n",
      "Starting with  (MLPR,  11 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256), max_iter=1750, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-28424.394) neg_median_absolute_error: (test=-837.174) r2: (test=-16.957) total time=   3.1s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256), max_iter=1750, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-10970.451) neg_median_absolute_error: (test=-661.225) r2: (test=-3.212) total time=   6.1s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(16, 16, 16, 16), max_iter=1000, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-16721.568) neg_median_absolute_error: (test=-828.564) r2: (test=-8.178) total time=   0.1s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(16, 16, 16, 16), max_iter=1000, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-10939.093) neg_median_absolute_error: (test=-661.379) r2: (test=-3.077) total time=   0.3s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-27963.190) neg_median_absolute_error: (test=-837.762) r2: (test=-16.379) total time=  22.6s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(512, 512), max_iter=1500, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-16113.295) neg_median_absolute_error: (test=-660.748) r2: (test=-7.073) total time=  21.1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(32, 32, 32, 32), max_iter=250, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-26082.193) neg_median_absolute_error: (test=-836.985) r2: (test=-14.115) total time=   0.5s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(32, 32, 32, 32), max_iter=250, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-17980.805) neg_median_absolute_error: (test=-661.365) r2: (test=-9.333) total time=   0.4s\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(256, 256, 256), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-26127.578) neg_median_absolute_error: (test=-837.263) r2: (test=-14.405) total time=   4.9s\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(256, 256, 256), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-11426.741) neg_median_absolute_error: (test=-661.361) r2: (test=-3.398) total time=   8.8s\n",
      "Starting with  (MLPR,  12 )\n",
      "Fitting 2 folds for each of 5 candidates, totalling 10 fits\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(1024, 1024), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-22090.496) neg_median_absolute_error: (test=-717.455) r2: (test=-12.890) total time=  43.5s\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(1024, 1024), max_iter=1750, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-16495.401) neg_median_absolute_error: (test=-586.358) r2: (test=-8.275) total time= 1.1min\n",
      "[CV 1/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-22195.573) neg_median_absolute_error: (test=-717.265) r2: (test=-13.036) total time=   4.5s\n",
      "[CV 2/2] END activation=identity, alpha=0.0001, hidden_layer_sizes=(256, 256), max_iter=500, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-15741.875) neg_median_absolute_error: (test=-586.495) r2: (test=-7.424) total time=   5.4s\n",
      "[CV 1/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(1537, 1537), max_iter=2000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-21877.480) neg_median_absolute_error: (test=-717.227) r2: (test=-12.619) total time= 2.6min\n",
      "[CV 2/2] END activation=identity, alpha=0.01, hidden_layer_sizes=(1537, 1537), max_iter=2000, solver=lbfgs, tol=1e-05; neg_mean_absolute_error: (test=-16222.481) neg_median_absolute_error: (test=-586.298) r2: (test=-7.961) total time=  46.1s\n",
      "[CV 1/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128, 128), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-20199.259) neg_median_absolute_error: (test=-717.384) r2: (test=-10.580) total time=   1.0s\n",
      "[CV 2/2] END activation=identity, alpha=1e-05, hidden_layer_sizes=(128, 128, 128), max_iter=1000, solver=lbfgs, tol=0.0001; neg_mean_absolute_error: (test=-13124.912) neg_median_absolute_error: (test=-586.267) r2: (test=-5.931) total time=   0.9s\n",
      "[CV 1/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(2048, 2048), max_iter=1750, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-21945.188) neg_median_absolute_error: (test=-716.872) r2: (test=-12.704) total time=10.3min\n",
      "[CV 2/2] END activation=identity, alpha=0.001, hidden_layer_sizes=(2048, 2048), max_iter=1750, solver=lbfgs, tol=0.001; neg_mean_absolute_error: (test=-16307.135) neg_median_absolute_error: (test=-586.406) r2: (test=-8.059) total time= 5.2min\n"
     ]
    }
   ],
   "source": [
    "info = [\"Year\", \"Round\", 'Driver', \"Q_time\"]\n",
    "\n",
    "for key, variables in variables_dict.items():\n",
    "    print(\"Starting with \", \"(MLPR, \", key,\")\")\n",
    "    eval_entry = {\"model\": None, \"predicted_GPs\": [], \"num_pred_GPs\": np.nan, \"num_preds\": np.nan,\n",
    "              \"X_train\": None, \"y_train\": None, \"X_test\": None, \"y_test\": None, \"pred_test\": None,\n",
    "              \"mod_diff_list\": [], \"mod_r2\": np.nan, \"mod_mean_abs_er\": np.nan, \"mod_median_abs_er\": np.nan, \"mod_s\": np.nan, \n",
    "              \"AWS_diff_list\": [], \"AWS_r2\": np.nan, \"AWS_mean_abs_er\": np.nan, \"AWS_median_abs_er\": np.nan, \"AWS_s\": np.nan} \n",
    "\n",
    "    X_past = red_df_dict[key].loc[red_df_dict[key]['Year']!=2021]\n",
    "    X_2021 = red_df_dict[key].loc[red_df_dict[key]['Year']==2021]\n",
    "\n",
    "    X_train = X_past.drop(['Q_time', 'Year', 'Round', 'Driver'], axis=1)\n",
    "    y_train = X_past['Q_time']\n",
    "\n",
    "    #creating the model\n",
    "    sc = StandardScaler()\n",
    "    X_train = sc.fit_transform(X_train)\n",
    "\n",
    "    regr = linear_model.LinearRegression()\n",
    "    regr.fit(X_train, y_train)\n",
    "    \n",
    "    \n",
    "    search_space = {\n",
    "        \"hidden_layer_sizes\": [(i,i) for i in [128, 256, 512, 1024, 1380, 1537, 2048]]+[(i,i,i) for i in [32,64, 128, 256]]+[(i,i,i,i) for i in [8,16,32]],\n",
    "        \"activation\": ['identity'],\n",
    "        \"solver\": [\"lbfgs\"],\n",
    "        \"alpha\": [0.00001, 0.0001, 0.001, 0.01],\n",
    "        \"max_iter\": [250,500,1000,1250,1500,1750,2000],\n",
    "        \"tol\": [0.001, 0.0001, 0.00001]\n",
    "    }\n",
    "\n",
    "    mlpr = MLPRegressor(random_state=42)\n",
    "    RS = RandomizedSearchCV(estimator=mlpr, \n",
    "                            param_distributions=search_space, \n",
    "                            cv=2,\n",
    "                            n_iter=5, #TODO: Wieder auf 5 ändern!\n",
    "                            scoring=[\"r2\", \"neg_median_absolute_error\", \"neg_mean_absolute_error\"],\n",
    "                            refit= \"r2\",\n",
    "                            verbose=5)\n",
    "\n",
    "    RS.fit(X_train, y_train)\n",
    "\n",
    "    mlpr = RS.best_estimator_\n",
    "\n",
    "    GP_dict_2021 = {rnd: X_2021.loc[(X_2021[\"Round\"]==rnd), X_2021.columns] for rnd in rounds_2021}\n",
    "\n",
    "    for rnd in GP_dict_2021:\n",
    "        GP_dict_2021[rnd][\"Q_delta\"] = np.nan\n",
    "        GP_dict_2021[rnd][\"Pred_delta\"] = np.nan\n",
    "        GP_dict_2021[rnd][\"Round\"] = GP_dict_2021[rnd][\"Round\"].astype(dtype=int, copy=False)\n",
    "\n",
    "\n",
    "        X_test = X_2021.loc[(X_2021[\"Round\"]==rnd)].drop(info, axis=1)\n",
    "        y_test= X_2021.loc[(X_2021[\"Round\"]==rnd)]['Q_time']\n",
    "\n",
    "        fastest_Q = y_test.min()\n",
    "        GP_dict_2021[rnd][\"Q_delta\"] = GP_dict_2021[rnd][\"Q_time\"]-fastest_Q\n",
    "\n",
    "        try:\n",
    "            X_test = sc.transform(X_test)\n",
    "            prediction = mlpr.predict(X_test)\n",
    "\n",
    "            fastest_Pred = prediction.min()\n",
    "            GP_dict_2021[rnd][\"Pred_delta\"]=prediction-fastest_Pred\n",
    "        except:\n",
    "            pass\n",
    "\n",
    "    model_prediction = pd.DataFrame(columns = GP_dict_2021[rnd].columns)\n",
    "    for rnd in GP_dict_2021:\n",
    "        model_prediction = pd.concat([model_prediction, GP_dict_2021[rnd]])\n",
    "\n",
    "\n",
    "    complete = pd.merge(model_prediction, AWS_prediction, how='left', on=[\"Round\", \"Driver\"])\n",
    "\n",
    "    #hotfix, sonst beide NaN aus mir unerklärlichen Gründen\n",
    "    complete.loc[(complete.Driver ==\"SAI\")&(complete.Round==5), \"AWS_delta\"]=0\n",
    "    complete.loc[(complete.Driver ==\"HAM\")&(complete.Round==13), \"AWS_delta\"]=0.7\n",
    "    complete = complete.dropna()\n",
    "\n",
    "\n",
    "    real = complete[\"Q_delta\"].tolist()\n",
    "    mod_pred = complete[\"Pred_delta\"].tolist()\n",
    "    aws_pred = complete[\"AWS_delta\"].tolist()\n",
    "    \n",
    "    eval_entry[\"X_train\"] = X_train\n",
    "    eval_entry[\"y_test\"] = y_test\n",
    "    eval_entry[\"X_test\"] = X_test\n",
    "    eval_entry[\"y_test\"] = y_test\n",
    "    eval_entry[\"pred_test\"]= prediction\n",
    "\n",
    "    eval_entry[\"model\"] = regr\n",
    "    eval_entry[\"predicted_GPs\"] = get_predicted_GPs(complete)\n",
    "    eval_entry[\"num_pred_GPs\"] = len(eval_entry[\"predicted_GPs\"])\n",
    "    eval_entry[\"num_preds\"] = complete.shape[0]\n",
    "\n",
    "    eval_entry[\"mod_diff_list\"] = [abs(r-p) for (r, p) in zip(real, mod_pred)]\n",
    "    eval_entry[\"mod_r2\"] = r2_score(real, mod_pred)\n",
    "    eval_entry[\"mod_mean_abs_er\"] = mean_absolute_error(real, mod_pred)\n",
    "    eval_entry[\"mod_median_abs_er\"] = median_absolute_error(real, mod_pred)\n",
    "    eval_entry[\"mod_s\"] = statistics.stdev(eval_entry[\"mod_diff_list\"])\n",
    "\n",
    "    eval_entry[\"AWS_diff_list\"] = [abs(r-a) for (r, a) in zip(real, aws_pred)]\n",
    "    eval_entry[\"AWS_r2\"] = r2_score(real, aws_pred)\n",
    "    eval_entry[\"AWS_mean_abs_er\"] = mean_absolute_error(real, aws_pred)\n",
    "    eval_entry[\"AWS_median_abs_er\"] = median_absolute_error(real, aws_pred)\n",
    "    eval_entry[\"AWS_s\"] = statistics.stdev(eval_entry[\"AWS_diff_list\"])\n",
    "\n",
    "    eval_dict[(\"MLPR\", key)] = eval_entry\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "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></th>\n",
       "      <th>num_preds</th>\n",
       "      <th>mod_r2</th>\n",
       "      <th>mod_mean_abs_er</th>\n",
       "      <th>mod_median_abs_er</th>\n",
       "      <th>mod_s</th>\n",
       "      <th>AWS_r2</th>\n",
       "      <th>AWS_mean_abs_er</th>\n",
       "      <th>AWS_median_abs_er</th>\n",
       "      <th>AWS_s</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">LinReg</th>\n",
       "      <th>1</th>\n",
       "      <td>333</td>\n",
       "      <td>0.633595</td>\n",
       "      <td>387.273</td>\n",
       "      <td>296.157</td>\n",
       "      <td>392.679</td>\n",
       "      <td>0.703128</td>\n",
       "      <td>355.31</td>\n",
       "      <td>276</td>\n",
       "      <td>346.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>270</td>\n",
       "      <td>0.537661</td>\n",
       "      <td>453.368</td>\n",
       "      <td>316.212</td>\n",
       "      <td>447.414</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>270</td>\n",
       "      <td>0.619894</td>\n",
       "      <td>409.218</td>\n",
       "      <td>310.725</td>\n",
       "      <td>407.56</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>246</td>\n",
       "      <td>0.689434</td>\n",
       "      <td>373.442</td>\n",
       "      <td>298.019</td>\n",
       "      <td>326.278</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>270</td>\n",
       "      <td>0.671979</td>\n",
       "      <td>393.067</td>\n",
       "      <td>298.084</td>\n",
       "      <td>365.128</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>270</td>\n",
       "      <td>0.65507</td>\n",
       "      <td>402.192</td>\n",
       "      <td>320.189</td>\n",
       "      <td>375.368</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>246</td>\n",
       "      <td>0.718778</td>\n",
       "      <td>362.409</td>\n",
       "      <td>283.828</td>\n",
       "      <td>302.193</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>246</td>\n",
       "      <td>0.706154</td>\n",
       "      <td>371.77</td>\n",
       "      <td>293.983</td>\n",
       "      <td>307.309</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>246</td>\n",
       "      <td>-2.76865e+25</td>\n",
       "      <td>4.06142e+15</td>\n",
       "      <td>5.3484e+15</td>\n",
       "      <td>2.32624e+15</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>246</td>\n",
       "      <td>0.70294</td>\n",
       "      <td>373.109</td>\n",
       "      <td>303.297</td>\n",
       "      <td>309.819</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>270</td>\n",
       "      <td>0.656846</td>\n",
       "      <td>395.374</td>\n",
       "      <td>294.312</td>\n",
       "      <td>380.523</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>246</td>\n",
       "      <td>0.713859</td>\n",
       "      <td>363.249</td>\n",
       "      <td>274.75</td>\n",
       "      <td>307.591</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">QuadReg</th>\n",
       "      <th>1</th>\n",
       "      <td>333</td>\n",
       "      <td>0.633422</td>\n",
       "      <td>387.033</td>\n",
       "      <td>299.717</td>\n",
       "      <td>393.099</td>\n",
       "      <td>0.703128</td>\n",
       "      <td>355.31</td>\n",
       "      <td>276</td>\n",
       "      <td>346.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>270</td>\n",
       "      <td>0.637458</td>\n",
       "      <td>395.209</td>\n",
       "      <td>284.516</td>\n",
       "      <td>402.46</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>270</td>\n",
       "      <td>0.627591</td>\n",
       "      <td>398.294</td>\n",
       "      <td>314.008</td>\n",
       "      <td>410.111</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>246</td>\n",
       "      <td>0.666555</td>\n",
       "      <td>387.38</td>\n",
       "      <td>309.857</td>\n",
       "      <td>337.592</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>270</td>\n",
       "      <td>-1.7792</td>\n",
       "      <td>1346.07</td>\n",
       "      <td>1325.8</td>\n",
       "      <td>790.444</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>270</td>\n",
       "      <td>0.701207</td>\n",
       "      <td>374.65</td>\n",
       "      <td>310.822</td>\n",
       "      <td>349.016</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>246</td>\n",
       "      <td>-3.18021</td>\n",
       "      <td>1596.16</td>\n",
       "      <td>1574.43</td>\n",
       "      <td>871.536</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>246</td>\n",
       "      <td>0.728666</td>\n",
       "      <td>355.925</td>\n",
       "      <td>293.829</td>\n",
       "      <td>296.9</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>246</td>\n",
       "      <td>-1.63468e+11</td>\n",
       "      <td>3.30417e+08</td>\n",
       "      <td>3.73775e+08</td>\n",
       "      <td>1.41839e+08</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>246</td>\n",
       "      <td>-12.6984</td>\n",
       "      <td>1903.68</td>\n",
       "      <td>750.065</td>\n",
       "      <td>2689.46</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>270</td>\n",
       "      <td>-1.85217</td>\n",
       "      <td>911.323</td>\n",
       "      <td>414.783</td>\n",
       "      <td>1293.84</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>246</td>\n",
       "      <td>-0.859721</td>\n",
       "      <td>844.356</td>\n",
       "      <td>569.663</td>\n",
       "      <td>871.867</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">CubReg</th>\n",
       "      <th>1</th>\n",
       "      <td>333</td>\n",
       "      <td>0.63008</td>\n",
       "      <td>389.957</td>\n",
       "      <td>307.28</td>\n",
       "      <td>393.735</td>\n",
       "      <td>0.703128</td>\n",
       "      <td>355.31</td>\n",
       "      <td>276</td>\n",
       "      <td>346.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>270</td>\n",
       "      <td>0.640705</td>\n",
       "      <td>396.408</td>\n",
       "      <td>291.715</td>\n",
       "      <td>397.702</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>270</td>\n",
       "      <td>0.636755</td>\n",
       "      <td>394.19</td>\n",
       "      <td>286.694</td>\n",
       "      <td>404.226</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>246</td>\n",
       "      <td>0.574251</td>\n",
       "      <td>423.976</td>\n",
       "      <td>321.236</td>\n",
       "      <td>396.754</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>270</td>\n",
       "      <td>-5.68651e+06</td>\n",
       "      <td>795283</td>\n",
       "      <td>391.642</td>\n",
       "      <td>2.08919e+06</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>270</td>\n",
       "      <td>0.352974</td>\n",
       "      <td>522.731</td>\n",
       "      <td>335.814</td>\n",
       "      <td>542.769</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>246</td>\n",
       "      <td>-5.13851e+10</td>\n",
       "      <td>1.8042e+08</td>\n",
       "      <td>1.93935e+08</td>\n",
       "      <td>8.9991e+07</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>246</td>\n",
       "      <td>-2.31327</td>\n",
       "      <td>1058.31</td>\n",
       "      <td>650.801</td>\n",
       "      <td>1226.8</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>246</td>\n",
       "      <td>-880.944</td>\n",
       "      <td>19389</td>\n",
       "      <td>15750.5</td>\n",
       "      <td>17958.3</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>246</td>\n",
       "      <td>-844711</td>\n",
       "      <td>359517</td>\n",
       "      <td>22840.2</td>\n",
       "      <td>735282</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>270</td>\n",
       "      <td>-2.14014e+08</td>\n",
       "      <td>5.48752e+06</td>\n",
       "      <td>683.795</td>\n",
       "      <td>1.25672e+07</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>246</td>\n",
       "      <td>-942.326</td>\n",
       "      <td>13536.7</td>\n",
       "      <td>2299.1</td>\n",
       "      <td>23763.3</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">MLPR</th>\n",
       "      <th>1</th>\n",
       "      <td>333</td>\n",
       "      <td>0.633596</td>\n",
       "      <td>387.273</td>\n",
       "      <td>296.157</td>\n",
       "      <td>392.679</td>\n",
       "      <td>0.703128</td>\n",
       "      <td>355.31</td>\n",
       "      <td>276</td>\n",
       "      <td>346.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>270</td>\n",
       "      <td>0.537661</td>\n",
       "      <td>453.368</td>\n",
       "      <td>316.212</td>\n",
       "      <td>447.414</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>270</td>\n",
       "      <td>0.619894</td>\n",
       "      <td>409.218</td>\n",
       "      <td>310.725</td>\n",
       "      <td>407.56</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>246</td>\n",
       "      <td>0.689434</td>\n",
       "      <td>373.442</td>\n",
       "      <td>298.018</td>\n",
       "      <td>326.278</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>270</td>\n",
       "      <td>-0.359763</td>\n",
       "      <td>637.686</td>\n",
       "      <td>321.211</td>\n",
       "      <td>887.322</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>270</td>\n",
       "      <td>0.655058</td>\n",
       "      <td>402.198</td>\n",
       "      <td>320.16</td>\n",
       "      <td>375.376</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>246</td>\n",
       "      <td>-8.23982</td>\n",
       "      <td>2392.61</td>\n",
       "      <td>2661.9</td>\n",
       "      <td>1259.13</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>246</td>\n",
       "      <td>0.706154</td>\n",
       "      <td>371.77</td>\n",
       "      <td>293.982</td>\n",
       "      <td>307.309</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>246</td>\n",
       "      <td>0.69818</td>\n",
       "      <td>377.172</td>\n",
       "      <td>284.116</td>\n",
       "      <td>310.974</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>246</td>\n",
       "      <td>0.702727</td>\n",
       "      <td>373.291</td>\n",
       "      <td>303.345</td>\n",
       "      <td>309.872</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>270</td>\n",
       "      <td>0.656872</td>\n",
       "      <td>395.357</td>\n",
       "      <td>294.289</td>\n",
       "      <td>380.51</td>\n",
       "      <td>0.695333</td>\n",
       "      <td>370.501</td>\n",
       "      <td>277</td>\n",
       "      <td>360.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>246</td>\n",
       "      <td>0.71392</td>\n",
       "      <td>363.207</td>\n",
       "      <td>274.613</td>\n",
       "      <td>307.562</td>\n",
       "      <td>0.702697</td>\n",
       "      <td>364.904</td>\n",
       "      <td>274</td>\n",
       "      <td>319.783</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           num_preds       mod_r2 mod_mean_abs_er mod_median_abs_er  \\\n",
       "LinReg  1        333     0.633595         387.273           296.157   \n",
       "        2        270     0.537661         453.368           316.212   \n",
       "        3        270     0.619894         409.218           310.725   \n",
       "        4        246     0.689434         373.442           298.019   \n",
       "        5        270     0.671979         393.067           298.084   \n",
       "        6        270      0.65507         402.192           320.189   \n",
       "        7        246     0.718778         362.409           283.828   \n",
       "        8        246     0.706154          371.77           293.983   \n",
       "        9        246 -2.76865e+25     4.06142e+15        5.3484e+15   \n",
       "        10       246      0.70294         373.109           303.297   \n",
       "        11       270     0.656846         395.374           294.312   \n",
       "        12       246     0.713859         363.249            274.75   \n",
       "QuadReg 1        333     0.633422         387.033           299.717   \n",
       "        2        270     0.637458         395.209           284.516   \n",
       "        3        270     0.627591         398.294           314.008   \n",
       "        4        246     0.666555          387.38           309.857   \n",
       "        5        270      -1.7792         1346.07            1325.8   \n",
       "        6        270     0.701207          374.65           310.822   \n",
       "        7        246     -3.18021         1596.16           1574.43   \n",
       "        8        246     0.728666         355.925           293.829   \n",
       "        9        246 -1.63468e+11     3.30417e+08       3.73775e+08   \n",
       "        10       246     -12.6984         1903.68           750.065   \n",
       "        11       270     -1.85217         911.323           414.783   \n",
       "        12       246    -0.859721         844.356           569.663   \n",
       "CubReg  1        333      0.63008         389.957            307.28   \n",
       "        2        270     0.640705         396.408           291.715   \n",
       "        3        270     0.636755          394.19           286.694   \n",
       "        4        246     0.574251         423.976           321.236   \n",
       "        5        270 -5.68651e+06          795283           391.642   \n",
       "        6        270     0.352974         522.731           335.814   \n",
       "        7        246 -5.13851e+10      1.8042e+08       1.93935e+08   \n",
       "        8        246     -2.31327         1058.31           650.801   \n",
       "        9        246     -880.944           19389           15750.5   \n",
       "        10       246      -844711          359517           22840.2   \n",
       "        11       270 -2.14014e+08     5.48752e+06           683.795   \n",
       "        12       246     -942.326         13536.7            2299.1   \n",
       "MLPR    1        333     0.633596         387.273           296.157   \n",
       "        2        270     0.537661         453.368           316.212   \n",
       "        3        270     0.619894         409.218           310.725   \n",
       "        4        246     0.689434         373.442           298.018   \n",
       "        5        270    -0.359763         637.686           321.211   \n",
       "        6        270     0.655058         402.198            320.16   \n",
       "        7        246     -8.23982         2392.61            2661.9   \n",
       "        8        246     0.706154          371.77           293.982   \n",
       "        9        246      0.69818         377.172           284.116   \n",
       "        10       246     0.702727         373.291           303.345   \n",
       "        11       270     0.656872         395.357           294.289   \n",
       "        12       246      0.71392         363.207           274.613   \n",
       "\n",
       "                  mod_s    AWS_r2 AWS_mean_abs_er AWS_median_abs_er    AWS_s  \n",
       "LinReg  1       392.679  0.703128          355.31               276   346.69  \n",
       "        2       447.414  0.695333         370.501               277  360.666  \n",
       "        3        407.56  0.695333         370.501               277  360.666  \n",
       "        4       326.278  0.702697         364.904               274  319.783  \n",
       "        5       365.128  0.695333         370.501               277  360.666  \n",
       "        6       375.368  0.695333         370.501               277  360.666  \n",
       "        7       302.193  0.702697         364.904               274  319.783  \n",
       "        8       307.309  0.702697         364.904               274  319.783  \n",
       "        9   2.32624e+15  0.702697         364.904               274  319.783  \n",
       "        10      309.819  0.702697         364.904               274  319.783  \n",
       "        11      380.523  0.695333         370.501               277  360.666  \n",
       "        12      307.591  0.702697         364.904               274  319.783  \n",
       "QuadReg 1       393.099  0.703128          355.31               276   346.69  \n",
       "        2        402.46  0.695333         370.501               277  360.666  \n",
       "        3       410.111  0.695333         370.501               277  360.666  \n",
       "        4       337.592  0.702697         364.904               274  319.783  \n",
       "        5       790.444  0.695333         370.501               277  360.666  \n",
       "        6       349.016  0.695333         370.501               277  360.666  \n",
       "        7       871.536  0.702697         364.904               274  319.783  \n",
       "        8         296.9  0.702697         364.904               274  319.783  \n",
       "        9   1.41839e+08  0.702697         364.904               274  319.783  \n",
       "        10      2689.46  0.702697         364.904               274  319.783  \n",
       "        11      1293.84  0.695333         370.501               277  360.666  \n",
       "        12      871.867  0.702697         364.904               274  319.783  \n",
       "CubReg  1       393.735  0.703128          355.31               276   346.69  \n",
       "        2       397.702  0.695333         370.501               277  360.666  \n",
       "        3       404.226  0.695333         370.501               277  360.666  \n",
       "        4       396.754  0.702697         364.904               274  319.783  \n",
       "        5   2.08919e+06  0.695333         370.501               277  360.666  \n",
       "        6       542.769  0.695333         370.501               277  360.666  \n",
       "        7    8.9991e+07  0.702697         364.904               274  319.783  \n",
       "        8        1226.8  0.702697         364.904               274  319.783  \n",
       "        9       17958.3  0.702697         364.904               274  319.783  \n",
       "        10       735282  0.702697         364.904               274  319.783  \n",
       "        11  1.25672e+07  0.695333         370.501               277  360.666  \n",
       "        12      23763.3  0.702697         364.904               274  319.783  \n",
       "MLPR    1       392.679  0.703128          355.31               276   346.69  \n",
       "        2       447.414  0.695333         370.501               277  360.666  \n",
       "        3        407.56  0.695333         370.501               277  360.666  \n",
       "        4       326.278  0.702697         364.904               274  319.783  \n",
       "        5       887.322  0.695333         370.501               277  360.666  \n",
       "        6       375.376  0.695333         370.501               277  360.666  \n",
       "        7       1259.13  0.702697         364.904               274  319.783  \n",
       "        8       307.309  0.702697         364.904               274  319.783  \n",
       "        9       310.974  0.702697         364.904               274  319.783  \n",
       "        10      309.872  0.702697         364.904               274  319.783  \n",
       "        11       380.51  0.695333         370.501               277  360.666  \n",
       "        12      307.562  0.702697         364.904               274  319.783  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evaluation = pd.DataFrame(eval_dict)\n",
    "evaluation = evaluation.transpose()\n",
    "evaluation = evaluation.drop([\"num_pred_GPs\", \"coefs\",\"model\", \"X_train\", \"y_train\", \"X_test\", \"y_test\", \"pred_test\",\n",
    "                              \"AWS_diff_list\", \"mod_diff_list\", \"predicted_GPs\"], axis=1)\n",
    "evaluation.to_csv(\"evaluation.csv\", sep='\\t', encoding='utf-8')\n",
    "\n",
    "evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.98709485])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Find out the coefficient for the transformation from \"T_fastest\" to predicted Quali time\n",
    "key = 1\n",
    "variables = [\"T_fastest\"]\n",
    "\n",
    "X_past = red_df_dict[key].loc[red_df_dict[key]['Year']!=2021]\n",
    "X_2021 = red_df_dict[key].loc[red_df_dict[key]['Year']==2021]\n",
    "\n",
    "X_train = X_past.drop(['Q_time', 'Year', 'Round', 'Driver'], axis=1)\n",
    "y_train = X_past['Q_time']\n",
    "\n",
    "#creating the model\n",
    "regr = linear_model.LinearRegression()\n",
    "regr.fit(X_train, y_train)\n",
    "\n",
    "regr.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#comparison between LR1, QR8 and MLPR12 on same instances\n",
    "joined = pd.merge(cross_compair[(\"LinReg\", 1)], cross_compair[(\"QuadReg\", 8)], how='left', on=[\"Round\", \"Driver\"])\n",
    "joined = joined.dropna()\n",
    "\n",
    "\n",
    "LR1_comp = {}\n",
    "real = joined[\"Q_delta_x\"].tolist()\n",
    "mod_pred = joined[\"Pred_delta_x\"].tolist()\n",
    "LR1_comp[\"mod_diff_list\"] = [abs(r-p) for (r, p) in zip(real, mod_pred)]\n",
    "LR1_comp[\"mod_r2\"] = r2_score(real, mod_pred)\n",
    "LR1_comp[\"mod_median_abs_er\"] = median_absolute_error(real, mod_pred)\n",
    "LR1_comp[\"mod_mean_abs_er\"] = mean_absolute_error(real, mod_pred)\n",
    "LR1_comp[\"mod_s\"] = statistics.stdev(LR1_comp[\"mod_diff_list\"])\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The only difference in variables between 8 and 12 is the use of the driver/the track.\n",
    "#As those variables are available for every single entry in the dataset,\n",
    "#models based on set 8 and 12 make predictions for the same datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "evaluation_copy = evaluation.copy()\n",
    "eval_dict_copy = eval_dict.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Boxplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7031 128.0 276.0 501.0 355.31 346.69\n",
      "0.6336 120.93696213584917 296.1569995147438 526.3958387377643 387.27 392.68\n"
     ]
    }
   ],
   "source": [
    "evaluation_copy = evaluation.copy()\n",
    "eval_dict_copy = eval_dict.copy()\n",
    "\n",
    "key = (\"LinReg\", 1)\n",
    "\n",
    "df1 = pd.DataFrame(list(zip(eval_dict_copy[key][\"mod_diff_list\"],\n",
    "                                         eval_dict_copy[key][\"AWS_diff_list\"])),\n",
    "                   columns = [\"model_diff\", \"aws_diff\"])\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "sns.set(style='whitegrid')\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5,7))\n",
    "\n",
    "g = sns.boxplot(data=df1, orient = \"v\", showfliers = False)\n",
    "\n",
    "plt.xlabel('Model', fontsize=20)\n",
    "plt.ylabel('Abs. Prediction Error in ms', fontsize=20)\n",
    "\n",
    "xvalues = [\"LR1\", \"AWS\"]\n",
    "# set xvalues as xtick values\n",
    "plt.xticks(np.arange(2), xvalues, fontsize=20)\n",
    "\n",
    "yint = [i for i in range(0,1150, 50)]\n",
    "plt.yticks(yint, fontsize=13)\n",
    "\n",
    "# remove all borders except bottom\n",
    "sns.despine(top=True,\n",
    "            right=True,\n",
    "            left=True,\n",
    "            bottom=False)\n",
    "\n",
    "\n",
    "palette= ['b', 'orange']\n",
    "color_dict = dict(zip(xvalues, palette))\n",
    "for i in range(0,2):\n",
    "    mybox = g.artists[i]\n",
    "    mybox.set_facecolor(color_dict[xvalues[i]])\n",
    "\n",
    "\n",
    "\n",
    "# Text p1\n",
    "mod_mean = round(eval_dict_copy[key][\"mod_mean_abs_er\"],2)\n",
    "mod_r2 = round(eval_dict_copy[key][\"mod_r2\"],4)\n",
    "#mod_me = round(max(eval_dict_copy[key][\"mod_diff_list\"]),2)\n",
    "mod_s = round(eval_dict_copy[key][\"mod_s\"],2)\n",
    "mod_med = round(np.percentile(eval_dict_copy[key][\"mod_diff_list\"], [50])[0],2)\n",
    "\n",
    "mod_lp = np.percentile(eval_dict_copy[key][\"mod_diff_list\"], [25])[0]\n",
    "mod_med = np.percentile(eval_dict_copy[key][\"mod_diff_list\"], [50])[0]\n",
    "mod_up = np.percentile(eval_dict_copy[key][\"mod_diff_list\"], [75])[0]\n",
    "\n",
    "\n",
    "\n",
    "# mod_textstr = r\"$\\tilde{x}$\" + f\" = {mod_med}\\n\"+\"$\\overline {x}$\" + f\" = {mod_mean} \\ns = {mod_s} \\nR² = {mod_r2}\"\n",
    "# props = dict(boxstyle='round', facecolor='white', alpha=0.3)\n",
    "# g.text(-0.16, (np.percentile(eval_dict_copy[key][\"mod_diff_list\"], [54])),\n",
    "#        mod_textstr, fontsize=20, bbox=props)\n",
    "\n",
    "# Text p2\n",
    "aws_mean = round(eval_dict_copy[key][\"AWS_mean_abs_er\"],2)\n",
    "aws_r2 = round(eval_dict_copy[key][\"AWS_r2\"],4)\n",
    "#aws_me = round(max(eval_dict_copy[key][\"AWS_diff_list\"]),2)\n",
    "aws_s = round(eval_dict_copy[key][\"AWS_s\"],2)\n",
    "\n",
    "aws_lp = np.percentile(eval_dict_copy[key][\"AWS_diff_list\"], [25])[0]\n",
    "aws_med = np.percentile(eval_dict_copy[key][\"AWS_diff_list\"], [50])[0]\n",
    "aws_up = np.percentile(eval_dict_copy[key][\"AWS_diff_list\"], [75])[0]\n",
    "\n",
    "# aws_textstr = \"$\\overline {x}$\" + f\" = {aws_mean} \\ns = {aws_s} \\nR² = {aws_r2}\"\n",
    "# props = dict(boxstyle='round', facecolor='white', alpha=0.3)\n",
    "# g.text(1-0.15, (np.percentile(eval_dict_copy[key][\"mod_diff_list\"], [54])),\n",
    "#        aws_textstr, fontsize=20, bbox=props)\n",
    "\n",
    "\n",
    "    \n",
    "plt.tight_layout()\n",
    "plt.savefig('LR1_boxplot.pdf', dpi=1000)\n",
    "plt.show()\n",
    "print(aws_r2, aws_lp, aws_med, aws_up, aws_mean, aws_s)\n",
    "print(mod_r2, mod_lp, mod_med, mod_up, mod_mean, mod_s)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1008 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r2, lp, median, up, mean, s\n",
      "0.7027 131.0 274.0 515.75 364.9 319.78\n",
      "0.6833 144.2342405339714 310.5297061164747 518.692657087282 380.49 336.13\n",
      "0.7287 136.0784857707331 293.82863967260346 492.49581490366836 355.92 296.9\n",
      "0.7139 123.77539111267106 274.61278872854746 532.876943719355 363.21 307.56\n",
      "0.7139 123.9375 274.75 532.6875 363.25 307.59\n"
     ]
    }
   ],
   "source": [
    "key_qr = (\"QuadReg\", 8)\n",
    "key_mlpr = (\"MLPR\", 12)\n",
    "key_lr = (\"LinReg\", 12)\n",
    "\n",
    "df2 = pd.DataFrame(list(zip(LR1_comp[\"mod_diff_list\"], eval_dict_copy[key_qr][\"mod_diff_list\"],\n",
    "                            eval_dict_copy[key_mlpr][\"mod_diff_list\"], eval_dict_copy[key_lr][\"mod_diff_list\"],\n",
    "                                         eval_dict_copy[key_qr][\"AWS_diff_list\"])),\n",
    "                   columns = [\"LR1_diff\", \"QuadReg_diff\", \"MLPR_diff\", \"LR12_diff\", \"aws_diff\"])\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "sns.set(style='whitegrid')\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,14))\n",
    "\n",
    "g = sns.boxplot(data=df2, orient = \"v\", showfliers = True)\n",
    "\n",
    "plt.xlabel('Model', fontsize=20)\n",
    "plt.ylabel('Abs. Prediction Error in ms', fontsize=20)\n",
    "\n",
    "xvalues = [\"LR1\", \"QR8\", \"MLPR12\", \"LR12\", \"AWS\"]\n",
    "# set xvalues as xtick values\n",
    "plt.xticks(np.arange(5), xvalues, fontsize=20)\n",
    "\n",
    "yint = [i for i in range(0,2150, 50)]\n",
    "plt.yticks(yint, fontsize=13)\n",
    "\n",
    "# remove all borders except bottom\n",
    "sns.despine(top=True,\n",
    "            right=True,\n",
    "            left=True,\n",
    "            bottom=False)\n",
    "\n",
    "\n",
    "palette= ['b', 'g', 'r', 'c', 'orange']\n",
    "color_dict = dict(zip(xvalues, palette))\n",
    "for i in range(0,5):\n",
    "    mybox = g.artists[i]\n",
    "    mybox.set_facecolor(color_dict[xvalues[i]])\n",
    "\n",
    "\n",
    "### Provide mean and standard deviation for each model###\n",
    "# Text LinReg\n",
    "lr_mean = round(LR1_comp[\"mod_mean_abs_er\"],2)\n",
    "lr_r2 = round(LR1_comp[\"mod_r2\"],4)\n",
    "lr_me = round(max(LR1_comp[\"mod_diff_list\"]),2)\n",
    "lr_s = round(LR1_comp[\"mod_s\"],2)\n",
    "lr_lp = np.percentile(LR1_comp[\"mod_diff_list\"], [25])[0]\n",
    "lr_med = np.percentile(LR1_comp[\"mod_diff_list\"], [50])[0]\n",
    "lr_up = np.percentile(LR1_comp[\"mod_diff_list\"], [75])[0]\n",
    "\n",
    "lr_textstr = \"$\\overline {x}$\" + f\" = {lr_mean} \\ns = {lr_s} \\nR² = {lr_r2}\"\n",
    "# props = dict(boxstyle='round', facecolor='white', alpha=0.3)\n",
    "# g.text(-0.22, (np.percentile(eval_dict_copy[key_qr][\"AWS_diff_list\"], [57])),\n",
    "#        lr_textstr, fontsize=20, bbox=props)\n",
    "\n",
    "# Text QuadReg\n",
    "qr_mean = round(eval_dict_copy[key_qr][\"mod_mean_abs_er\"],2)\n",
    "qr_r2 = round(eval_dict_copy[key_qr][\"mod_r2\"],4)\n",
    "qr_me = round(max(eval_dict_copy[key_qr][\"mod_diff_list\"]),2)\n",
    "qr_s = round(eval_dict_copy[key_qr][\"mod_s\"],2)\n",
    "\n",
    "qr_lp = np.percentile(eval_dict_copy[key_qr][\"mod_diff_list\"], [25])[0]\n",
    "qr_med = np.percentile(eval_dict_copy[key_qr][\"mod_diff_list\"], [50])[0]\n",
    "qr_up = np.percentile(eval_dict_copy[key_qr][\"mod_diff_list\"], [75])[0]\n",
    "\n",
    "qr_textstr = \"$\\overline {x}$\" + f\" = {qr_mean} \\ns = {qr_s} \\nR² = {qr_r2} \\nmax = {qr_me}\"\n",
    "# props = dict(boxstyle='round', facecolor='white', alpha=0.3)\n",
    "# g.text(-0.22, (np.percentile(eval_dict_copy[key_qr][\"AWS_diff_list\"], [57])),\n",
    "#        qr_textstr, fontsize=20, bbox=props)\n",
    "\n",
    "# Text MLPR\n",
    "mlpr_mean = round(eval_dict_copy[key_mlpr][\"mod_mean_abs_er\"],2)\n",
    "mlpr_r2 = round(eval_dict_copy[key_mlpr][\"mod_r2\"],4)\n",
    "mlpr_me = round(max(eval_dict_copy[key_mlpr][\"mod_diff_list\"]),2)\n",
    "mlpr_s = round(eval_dict_copy[key_mlpr][\"mod_s\"],2)\n",
    "\n",
    "mlpr_lp = np.percentile(eval_dict_copy[key_mlpr][\"mod_diff_list\"], [25])[0]\n",
    "mlpr_med = np.percentile(eval_dict_copy[key_mlpr][\"mod_diff_list\"], [50])[0]\n",
    "mlpr_up = np.percentile(eval_dict_copy[key_mlpr][\"mod_diff_list\"], [75])[0]\n",
    "\n",
    "mlpr_textstr = \"$\\overline {x}$\" + f\" = {mlpr_mean} \\ns = {mlpr_s} \\nR² = {mlpr_r2}\"\n",
    "# props = dict(boxstyle='round', facecolor='white', alpha=0.3)\n",
    "# g.text(0.76, (np.percentile(eval_dict_copy[key_qr][\"AWS_diff_list\"], [57])),\n",
    "#        mlpr_textstr, fontsize=20, bbox=props)\n",
    "\n",
    "# Text LR12\n",
    "lr12_mean = round(eval_dict_copy[key_lr][\"mod_mean_abs_er\"],2)\n",
    "lr12_r2 = round(eval_dict_copy[key_lr][\"mod_r2\"],4)\n",
    "lr12_me = round(max(eval_dict_copy[key_lr][\"mod_diff_list\"]),2)\n",
    "lr12_s = round(eval_dict_copy[key_lr][\"mod_s\"],2)\n",
    "\n",
    "lr12_lp = np.percentile(eval_dict_copy[key_lr][\"mod_diff_list\"], [25])[0]\n",
    "lr12_med = np.percentile(eval_dict_copy[key_lr][\"mod_diff_list\"], [50])[0]\n",
    "lr12_up = np.percentile(eval_dict_copy[key_lr][\"mod_diff_list\"], [75])[0]\n",
    "\n",
    "# Text p2\n",
    "aws_mean = round(eval_dict_copy[key_qr][\"AWS_mean_abs_er\"],2)\n",
    "aws_r2 = round(eval_dict_copy[key_qr][\"AWS_r2\"],4)\n",
    "aws_me = round(max(eval_dict_copy[key_qr][\"AWS_diff_list\"]),2)\n",
    "aws_s = round(eval_dict_copy[key_qr][\"AWS_s\"],2)\n",
    "\n",
    "aws_lp = np.percentile(eval_dict_copy[key_qr][\"AWS_diff_list\"], [25])[0]\n",
    "aws_med = np.percentile(eval_dict_copy[key_qr][\"AWS_diff_list\"], [50])[0]\n",
    "aws_up = np.percentile(eval_dict_copy[key_qr][\"AWS_diff_list\"], [75])[0]\n",
    "\n",
    "aws_textstr = \"$\\overline {x}$\" + f\" = {aws_mean} \\ns = {aws_s} \\nR² = {aws_r2} \\nmax = {aws_me}\"\n",
    "# props = dict(boxstyle='round', facecolor='white', alpha=0.3)\n",
    "# g.text(1.77, (np.percentile(eval_dict_copy[key_qr][\"AWS_diff_list\"], [57])),\n",
    "#        aws_textstr, fontsize=20, bbox=props)\n",
    "\n",
    "\n",
    "    \n",
    "plt.tight_layout()\n",
    "plt.savefig('Full_comparison.pdf', dpi=1000)\n",
    "plt.show()\n",
    "\n",
    "print(\"r2, lp, median, up, mean, s\")\n",
    "print(aws_r2, aws_lp, aws_med, aws_up, aws_mean, aws_s)\n",
    "print(lr_r2, lr_lp, lr_med, lr_up, lr_mean, lr_s)\n",
    "print(qr_r2, qr_lp, qr_med, qr_up, qr_mean, qr_s)\n",
    "print(mlpr_r2, mlpr_lp, mlpr_med, mlpr_up, mlpr_mean, mlpr_s)\n",
    "print(lr12_r2, lr12_lp, lr12_med, lr12_up, lr12_mean, lr12_s)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eval_dict[(\"QuadReg\", 8)][\"coefs\"][\"abs_importance\"] = abs(eval_dict[(\"QuadReg\", 8)][\"coefs\"][\"Coefficient importance\"])\n",
    "imp_df = eval_dict[(\"QuadReg\", 8)][\"coefs\"].sort_values(by=[\"abs_importance\"], ascending=False).head(10)\n",
    "\n",
    "imp_df = imp_df.sort_values(by=[\"abs_importance\"], ascending=False)\n",
    "imp_df = imp_df.drop([\"abs_importance\"], axis=1)\n",
    "\n",
    "\n",
    "sns.set(style='whitegrid')\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "\n",
    "g = sns.barplot(x=\"Coefficient importance\", y= imp_df.index, data = imp_df, color =\"g\")\n",
    "plt.xlabel('Coefficient', fontsize=15)\n",
    "\n",
    "yvalues = [\"T_fastest $\\cdot$ \\nFP2_time\", \"T_fastest²\", \"T_fastest $\\cdot$\\nFP3_time\",\n",
    "           \"FP2_time $\\cdot$\\nFP3_time\", \"FP2_time²\",\n",
    "          \"T_fastest\", \"T_fastest $\\cdot$\\nFP3_tyre_life\", \"FP3_time\", \"T_fastest $\\cdot$\\nFerrari\", \n",
    "           \"FP3_time $\\cdot$\\nFP3_tyre_life\"]\n",
    "\n",
    "plt.yticks(np.arange(10), yvalues, fontsize=11)\n",
    "# remove all borders except bottom\n",
    "sns.despine(top=True,\n",
    "            right=True,\n",
    "            left=True,\n",
    "            bottom=False)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('QR_FeatImportance.pdf', dpi=1000)\n",
    "plt.show()\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num Teams 11\n",
      "Num Drivers 33\n",
      "Num Tracks 31\n",
      "['McLaren' 'Red Bull' 'Ferrari' 'Haas' 'Alfa Romeo' 'AlphaTauri'\n",
      " 'Aston Martin' 'Williams' 'Alpine' 'Mercedes' None]\n",
      "['VAN' 'RIC' 'VET' 'RAI' 'GRO' 'ERI' 'GAS' 'PER' 'ALO' 'LEC' 'STR' 'MAG'\n",
      " 'HUL' 'HAR' 'OCO' 'VER' 'SIR' 'HAM' 'SAI' 'BOT' 'NOR' 'ALB' 'KVY' 'RUS'\n",
      " 'KUB' 'GIO' 'LAT' 'FIT' 'AIT' 'MAZ' 'TSU' 'MSC' nan]\n",
      "['Melbourne' 'Bahrain' 'Shanghai' 'Baku' 'Barcelona' 'Monaco' 'Montreal'\n",
      " 'Le Castellet' 'Spielberg' 'Silverstone' 'Hockenheim' 'Mogyorod'\n",
      " 'Spa-Francorchamps' 'Monza' 'Singapore' 'Sochi' 'Suzuka' 'Austin'\n",
      " 'Mexico City' 'Sao Paulo' 'Abu Dhabi' 'Mugello' 'Nürburg' 'Portimao'\n",
      " 'Istanbul' 'Bahrain Short' 'Imola' 'Zandvoort' 'Lusail' 'Jeddah'\n",
      " 'Abu Dhabi 2']\n",
      "-2.768649852744639e+25\n"
     ]
    }
   ],
   "source": [
    "print(\"Num Teams\", len(team_list))\n",
    "print(\"Num Drivers\", len(driver_list))\n",
    "print(\"Num Tracks\", len(track_list))\n",
    "print(team_list)\n",
    "print(driver_list)\n",
    "print(track_list)\n",
    "print(eval_dict[(\"LinReg\",9)][\"mod_r2\"])"
   ]
  }
 ],
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