{ "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: Return all subsets of a set.\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", "* Should the resulting subsets be unique?\n", " * Yes, treat 'ab' and 'bc' as the same\n", "* Is the empty set included as a subset?\n", " * Yes\n", "* Are the inputs unique?\n", " * No\n", "* Can we assume the inputs are valid?\n", " * No\n", "* Can we assume this fits memory?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "
\n",
"* None -> None\n",
"* [] -> [[]]\n",
"* ['a'] -> [[], \n",
" ['a']]\n",
"* ['a', 'b'] -> [[], \n",
" ['a'], \n",
" ['b'], \n",
" ['a', 'b']]\n",
"* ['a', 'b', 'c'] -> [[], \n",
" ['a'], \n",
" ['b'], \n",
" ['c'],\n",
" ['a', 'b'], \n",
" ['a', 'c'], \n",
" ['b', 'c'],\n",
" ['a', 'b', 'c']]\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
"Refer to the [Solution Notebook](). 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": {},
"outputs": [],
"source": [
"class Sets(object):\n",
"\n",
" def find_power_set_recursive(self, input_set):\n",
" # TODO: Implement me\n",
" pass\n",
"\n",
" def find_power_set_iterative(self, input_set):\n",
" # TODO: Implement me\n",
" pass"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unit Test"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**The following unit test is expected to fail until you solve the challenge.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# %load test_power_set.py\n",
"import unittest\n",
"\n",
"\n",
"class TestPowerSet(unittest.TestCase):\n",
"\n",
" def test_power_set(self):\n",
" input_set = []\n",
" expected = [[]]\n",
" self.run_test(input_set, expected)\n",
" input_set = ['a']\n",
" expected = [['a'], []]\n",
" self.run_test(input_set, expected)\n",
" input_set = ['a', 'b']\n",
" expected = [['a'], ['a', 'b'], ['b'], []]\n",
" self.run_test(input_set, expected)\n",
" input_set = ['a', 'b', 'c']\n",
" expected = [['a'], ['a', 'b'], ['b'], ['a', 'c'], \n",
" ['a', 'b', 'c'], ['b', 'c'], ['c'], []]\n",
" self.run_test(input_set, expected)\n",
" print('Success: test_power_set')\n",
"\n",
" def run_test(self, input_set, expected):\n",
" combinatoric = Combinatoric()\n",
" result = combinatoric.find_power_set_recursive(input_set)\n",
" self.assertEqual(result, expected)\n",
" result = combinatoric.find_power_set_iterative(input_set)\n",
" self.assertEqual(result, expected)\n",
"\n",
"\n",
"def main():\n",
" test = TestPowerSet()\n",
" test.test_power_set()\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" main()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Solution Notebook\n",
"\n",
"Review the [Solution Notebook]() for a discussion on algorithms and code solutions."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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