{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load balanced map and parallel function decorator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "import ipyparallel as ipp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "rc = ipp.Client()\n",
    "v = rc.load_balanced_view()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Simple, default map:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n"
     ]
    }
   ],
   "source": [
    "result = v.map(lambda x: 2*x, range(10))\n",
    "print(\"Simple, default map: \", list(result))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submitted tasks, got ids:  ['b21595ef-61f4-4ec3-ac7a-7888c025e492', '5e29335b-526d-4516-b22f-0a4b358fa242', '18cd0bd2-7aad-4340-8c81-9b2e384d73d9', '1ef7ccbc-6790-4479-aa90-c4acb5fc8cc4', '8d2c6d43-6e59-4dcf-9511-70707871aeb1', '58042f85-a7c1-492e-a698-d2655c095424', 'd629bf13-4d8b-4a54-996e-d531306293ea', '79039685-1b02-4aa5-a259-4eb9b8d8a65a', '16ffe6f3-fe82-4610-9ec9-a0a3138313a9', 'a3d9050b-faf2-4fa4-873a-65c81cab4c56']\n",
      "Using a mapper:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n"
     ]
    }
   ],
   "source": [
    "ar = v.map_async(lambda x: 2*x, range(10))\n",
    "print(\"Submitted tasks, got ids: \", ar.msg_ids)\n",
    "result = ar.get()\n",
    "print(\"Using a mapper: \", result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using a parallel function:  [0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n"
     ]
    }
   ],
   "source": [
    "@v.parallel(block=True)\n",
    "def f(x): return 2*x\n",
    "\n",
    "result = f.map(range(10))\n",
    "print(\"Using a parallel function: \", result)"
   ]
  }
 ],
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