Code/test_compute_launch.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before you begin, make sure to run this command in your terminal to install pytest:\n",
    "```\n",
    "pip install -U pytest\n",
    "```\n",
    "Then, to run pytest, just enter in the command line:\n",
    "```\n",
    "pytest\n",
    "```\n",
    "Right now, not all of the tests should pass. Fix the function to pass all its tests! Once all your tests pass, try writing some additional unit tests of your own!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from compute_launch import days_until_launch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_days_until_launch_4():\n",
    "    assert (days_until_launch(22,26)==4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_days_until_launch_0():\n",
    "    assert (days_until_launch(253,253)==0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_days_until_launch_0_negative():\n",
    "    assert(days_until_launch(83, 64) == 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_days_until_launch_4():\n",
    "    assert (days_until_launch(83, 64) == 0)"
   ]
  },
  {
   "attachments": {
    "grafik.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![grafik.png](attachment:grafik.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}