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 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "# Flowshop sample"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We start by importing the corresponding jobshop problem module as following :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import pyscheduling.FS.FmCmax as fs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can either import the instance from a text file or randomly generate it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "instance = fs.FmCmax_Instance.generate_random(5,2)\n",
    "instance.to_txt(\"deleteMe.txt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we use one of the implemented methods which are found in either **Heuristics** or **Metaheuristics** classes as following :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Search stopped with status : FEASIBLE\n",
      " Solution is : \n",
      " Objective : 100\n",
      "Jobs sequence : 0\t3\t2\t1\t4\n",
      "Machine_ID | Job_schedule (job_id , start_time , completion_time) | Completion_time\n",
      "(0, 0, 4) : (3, 4, 14) : (2, 14, 25) : (1, 25, 43) : (4, 43, 75) | 75\n",
      "(0, 4, 34) : (3, 34, 66) : (2, 66, 85) : (1, 85, 97) : (4, 97, 100) | 100 \n",
      "Runtime is : 4.9900000007596645e-05s \n",
      "time to best is : -1s \n",
      "\n"
     ]
    }
   ],
   "source": [
    "solution = fs.Heuristics.slope(instance)\n",
    "print(solution)"
   ]
  }
 ],
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