{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "37\n",
      "235\n",
      "908\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "print(np.random.randint(1000))\n",
    "print(np.random.randint(1000))\n",
    "print(np.random.randint(1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "168\n",
      "527\n",
      "493\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(2)\n",
    "print(np.random.randint(1000))\n",
    "print(np.random.randint(1000))\n",
    "print(np.random.randint(1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a: 37\n",
      "b: 168\n",
      "a: 235\n",
      "b: 527\n",
      "a: 908\n",
      "b: 493\n"
     ]
    }
   ],
   "source": [
    "a = np.random.RandomState(1)\n",
    "b = np.random.RandomState(2)\n",
    "print(\"a: \"+str(a.randint(1000)))\n",
    "print(\"b: \"+str(b.randint(1000)))\n",
    "print(\"a: \"+str(a.randint(1000)))\n",
    "print(\"b: \"+str(b.randint(1000)))\n",
    "print(\"a: \"+str(a.randint(1000)))\n",
    "print(\"b: \"+str(b.randint(1000)))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}