ones.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<parsl.dataflow.dflow.DataFlowKernel at 0x7f2150135278>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import parsl\n",
    "from parsl import python_app\n",
    "\n",
    "\n",
    "from parsl.configs.htex_local import config\n",
    "config.executors[0].max_workers = 4\n",
    "parsl.load(config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "@python_app\n",
    "def get_ones(shape):\n",
    "    import numpy as np\n",
    "    \n",
    "    return np.ones(shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "futures = [get_ones((1, 2)) for i in range(2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1. 1.]]\n",
      "[[1. 1.]]\n"
     ]
    }
   ],
   "source": [
    "for f in futures:\n",
    "    try:\n",
    "        print(f.result())\n",
    "    except Exception as e:\n",
    "        print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "futures = [get_ones((100, 2)) for i in range(2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Task failure due to loss of worker 2 on host kg15-9\n",
      "Task failure due to loss of worker 3 on host kg15-9\n"
     ]
    }
   ],
   "source": [
    "for f in futures:\n",
    "    try:\n",
    "        print(f.result())\n",
    "    except Exception as e:\n",
    "        print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "np.ones((100, 2))"
   ]
  }
 ],
 "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": "3.7.0"
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 "nbformat": 4,
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}