{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Single Machine Sample"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We start by importing the corresponding jobshop problem module as following :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import pyscheduling.SMSP.riwiCi as smsp_ri"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can either import the instance from a text file or randomly generate it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "instance = smsp_ri.riwiCi_Instance.generate_random(50,Wmax=10,Pmin=1, Pmax=50,Alpha=100)\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": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "solution = smsp_ri.Heuristics.WSECi(instance)\n",
    "print(solution)"
   ]
  }
 ],
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