{

 "cells": [

  {

   "cell_type": "markdown",

   "metadata": {},

   "source": [

    "# Concurrent.Futures.ThreadPoolExecutor"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": 14,

   "metadata": {},

   "outputs": [],

   "source": [

    "from concurrent.futures import ThreadPoolExecutor  #using parallel threads \n",

    "import time #time module"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": 6,

   "metadata": {},

   "outputs": [],

   "source": [

    "def task(n):\n",

    " print(\"Processing {}\".format(n))\n",

    " time.sleep(10)     #time.sleep pause the program. So it can be used to chech working of multiple thread"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": 11,

   "metadata": {},

   "outputs": [],

   "source": [

    "def main():\n",

    " print(\"Starting ThreadPoolExecutor\")\n",

    " with ThreadPoolExecutor(max_workers=3) as executor:\n",

    "   future = executor.submit(task, (2))  #working of multiple threads\n",

    "   future = executor.submit(task, (3))\n",

    "   future = executor.submit(task, (4))\n",

    " print(\"All tasks complete\")"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": 13,

   "metadata": {},

   "outputs": [

    {

     "name": "stdout",

     "output_type": "stream",

     "text": [

      "Starting ThreadPoolExecutor\n",

      "Processing 2\n",

      "Processing 3\n",

      "Processing 4\n",

      "All tasks complete\n"

     ]

    }

   ],

   "source": [

    "if __name__ == '__main__':\n",

    " main()   #main function"

   ]

  }

 ],

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