mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
165 lines
4.1 KiB
Python
165 lines
4.1 KiB
Python
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Challenge Notebook"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Problem: Determine the total number of unique ways to make n cents, given coins of denominations less than n cents.\n",
|
|
"\n",
|
|
"* [Constraints](#Constraints)\n",
|
|
"* [Test Cases](#Test-Cases)\n",
|
|
"* [Algorithm](#Algorithm)\n",
|
|
"* [Code](#Code)\n",
|
|
"* [Unit Test](#Unit-Test)\n",
|
|
"* [Solution Notebook](#Solution-Notebook)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Constraints\n",
|
|
"\n",
|
|
"* Do the coins have to reach exactly n cents?\n",
|
|
" * Yes\n",
|
|
"* Can we assume we have an infinite number of coins to make n cents?\n",
|
|
" * Yes\n",
|
|
"* Do we need to report the combination(s) of coins that represent the minimum?\n",
|
|
" * No\n",
|
|
"* Can we assume the coin denominations are given in sorted order?\n",
|
|
" * No\n",
|
|
"* Can we assume this fits memory?\n",
|
|
" * Yes"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Test Cases\n",
|
|
"\n",
|
|
"* coins: None or n: None -> Exception\n",
|
|
"* coins: [] or n: 0 -> 0\n",
|
|
"* coins: [1, 2, 3], n: 5 -> 5"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Algorithm\n",
|
|
"\n",
|
|
"Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/recursion_dynamic/coin_change/coin_change_solution.ipynb). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Code"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"class CoinChanger(object):\n",
|
|
"\n",
|
|
" def make_change(self, coins, total):\n",
|
|
" # TODO: Implement me\n",
|
|
" return n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Unit Test\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"**The following unit test is expected to fail until you solve the challenge.**"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# %load test_coin_change.py\n",
|
|
"from nose.tools import assert_equal\n",
|
|
"\n",
|
|
"\n",
|
|
"class Challenge(object):\n",
|
|
"\n",
|
|
" def test_coin_change(self):\n",
|
|
" coin_changer = CoinChanger()\n",
|
|
" assert_equal(coin_changer.make_change([1, 2], 0), 0)\n",
|
|
" assert_equal(coin_changer.make_change([1, 2, 3], 5), 5)\n",
|
|
" assert_equal(coin_changer.make_change([1, 5, 25, 50], 10), 3)\n",
|
|
" print('Success: test_coin_change')\n",
|
|
"\n",
|
|
"\n",
|
|
"def main():\n",
|
|
" test = Challenge()\n",
|
|
" test.test_coin_change()\n",
|
|
"\n",
|
|
"\n",
|
|
"if __name__ == '__main__':\n",
|
|
" main()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Solution Notebook\n",
|
|
"\n",
|
|
"Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/recursion_dynamic/coin_change/coin_change_solution.ipynb) for a discussion on algorithms and code solutions."
|
|
]
|
|
}
|
|
],
|
|
"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": "3.5.0"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|