{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os, sys, json, argparse, pickle\n",
    "import sumolib, traci\n",
    "from tqdm import tqdm\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "path_root = os.path.dirname(os.path.dirname(os.path.abspath('.')))\n",
    "path_scr = os.path.join(path_root, 'scripts')\n",
    "sys.path.append(path_scr)\n",
    "from generate_signals import SignalGenerator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[436, 437, 438, 442, 443, 455, 456, 457, 458]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "self = SignalGenerator()\n",
    "self.inter_nos"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "siggen_env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}