mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
removed duplicate repository
This commit is contained in:
wdonahoe
parent
0282c85bd0
commit
8ab6a2334a
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<small><i>This notebook was prepared by [wdonahoe](https://github.com/wdonahoe). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges).</i></small>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Challenge Notebook"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Problem: Implement a function that groups identical items based on their order in the list.\n",
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"\n",
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"* [Constraints](#Constraints)\n",
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"* [Test Cases](#Test-Cases)\n",
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"* [Algorithm](#Algorithm)\n",
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"* [Code](#Code)\n",
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"* [Unit Test](#Unit-Test)\n",
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"* [Solution Notebook](#Solution-Notebook)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Constraints\n",
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"\n",
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"* Can we use extra data structures?\n",
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" * Yes"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Test Cases\n",
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"\n",
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"* group_ordered([1,2,1,3,2]) -> [1,1,2,2,3]\n",
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"* group_ordered(['a','b','a') -> ['a','a','b']\n",
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"* group_ordered([1,1,2,3,4,5,2,1]-> [1,1,1,2,2,3,4,5]\n",
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"* group_ordered([]) -> []\n",
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"* group_ordered([1]) -> [1]\n",
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"* group_ordered(None) -> None"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Algorithm\n",
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"\n",
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"Refer to the [solution notebook](https://github.com/donnemartin/interactive-coding-challenges/templates/foo_solution.ipynb). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Code"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"def group_ordered(list_in):\n",
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" # TODO: Implement me\n",
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" pass"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Unit Test"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**The following unit test is expected to fail until you solve the challenge.**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Success: test_foo\n"
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]
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}
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],
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"source": [
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"# %load test_group_ordered.py\n",
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"from nose.tools import assert_equal\n",
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"\n",
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"class TestGroupOrdered(object):\n",
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"\n",
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" def test_group_ordered(self):\n",
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" assert_equal(group_ordered(None), None)\n",
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" assert_equal(group_ordered([]), [])\n",
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" assert_equal(group_ordered([1]), [1])\n",
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" assert_equal(group_ordered([1,2,1,3,2]),[1,1,2,2,3])\n",
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" assert_equal(group_ordered(['a','b','a']),['a','a','b'])\n",
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" assert_equal(group_ordered([1,1,2,3,4,5,2,1]),[1,1,1,2,2,3,4,5])\n",
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" assert_equal(group_ordered([1,2,3,4,3,4]),[1,2,3,3,4,4])\n",
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"\n",
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"def main():\n",
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" test = TestGroupOrdered()\n",
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" test.test_group_ordered()\n",
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"\n",
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"if __name__ == '__main__':\n",
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" main()\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Solution Notebook\n",
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"\n",
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"Review the [solution notebook](https://github.com/donnemartin/interactive-coding-challenges/templates/foo_solution.ipynb) for a discussion on algorithms and code solutions."
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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@ -1,241 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<small><i>This notebook was prepared by [wdonahoe](https://github.com/wdonahoe). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges).</i></small>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Solution Notebook"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Problem: Implement a function that groups identical items based on their order in the list.\n",
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"\n",
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"* [Constraints](#Constraints)\n",
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"* [Test Cases](#Test-Cases)\n",
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"* [Algorithm: Modified Selection Sort](#Algorithm: Modified Selection Sort)\n",
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"* [Code: Modified Selection Sort](#Code: Modified Selection Sort)\n",
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"* [Algorithm: Ordered Dict](#Algorithm: Ordered Dict)\n",
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"* [Code: Ordered Dict](#Code:-Ordered-Dict)\n",
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"* [Unit Test](#Unit-Test)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Constraints\n",
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"\n",
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"* Can we use extra data structures?\n",
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" * Yes"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Test Cases\n",
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"\n",
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"* group_ordered([1,2,1,3,2]) -> [1,1,2,2,3]\n",
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"* group_ordered(['a','b','a') -> ['a','a','b']\n",
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"* group_ordered([1,1,2,3,4,5,2,1]-> [1,1,1,2,2,3,4,5]\n",
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"* group_ordered([]) -> []\n",
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"* group_ordered([1]) -> [1]\n",
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"* group_ordered(None) -> None\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Algorithm: Modified Selection Sort\n",
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"\n",
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"* Save the relative position of the first-occurence of each item in a list.\n",
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"* Iterate through list of unique items.\n",
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" * Keep an outer index; scan rest of list, swapping matching items with outer index and incrementing outer index each time. \n",
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" \n",
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"Complexity:\n",
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"* Time: O(n^2)\n",
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"* Space: O(n)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Code: Modified Selection Sort"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"def make_order_list(list_in):\n",
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" order_list = []\n",
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" for item in list_in:\n",
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" if item not in order_list:\n",
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" order_list.append(item)\n",
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" return order_list\n",
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"\n",
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"\n",
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"def group_ordered(list_in):\n",
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" if list_in is None:\n",
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" return None\n",
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" order_list = make_order_list(list_in)\n",
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" current = 0\n",
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" for item in order_list:\n",
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" search = current + 1\n",
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" while True:\n",
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" try:\n",
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" if list_in[search] != item:\n",
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" search += 1\n",
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" else:\n",
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" current += 1\n",
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" list_in[current], list_in[search] = list_in[search], list_in[current]\n",
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" search += 1\n",
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" except IndexError:\n",
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" break\n",
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" return list_in"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Algorithm: Ordered Dict.\n",
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"\n",
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"* Use an ordered dict to track insertion order of each key\n",
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"* Flatten list of values.\n",
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"\n",
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"Complexity:\n",
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"\n",
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"* Time: O(n)\n",
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"* Space: O(n)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Code: Ordered Dict"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"from collections import OrderedDict\n",
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"\n",
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"def group_ordered_alt(list_in):\n",
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" result = OrderedDict()\n",
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" for value in list_in:\n",
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" result.setdefault(value, []).append(value)\n",
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" return [v for group in result.values() for v in group]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Unit Test\n",
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"\n",
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"#### The following unit test is expected to fail until you solve the challenge."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Overwriting test_group_ordered.py\n"
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]
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}
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],
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"source": [
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"%%writefile test_group_ordered.py\n",
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"from nose.tools import assert_equal\n",
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"\n",
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"class TestGroupOrdered(object):\n",
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"\n",
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" def test_group_ordered(self,func):\n",
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"\n",
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" assert_equal(func(None), None)\n",
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" assert_equal(func([]), [])\n",
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" assert_equal(func([1]), [1])\n",
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" assert_equal(func([1,2,1,3,2]),[1,1,2,2,3])\n",
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" assert_equal(func(['a','b','a']),['a','a','b'])\n",
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" assert_equal(func([1,1,2,3,4,5,2,1]),[1,1,1,2,2,3,4,5])\n",
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" assert_equal(func([1,2,3,4,3,4]),[1,2,3,3,4,4])\n",
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"\n",
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"def main():\n",
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" test = TestGroupOrdered()\n",
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" test.test_group_ordered(group_ordered)\n",
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" try:\n",
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" test.test_group_ordered(group_ordered_alt)\n",
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" except NameError:\n",
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" # Alternate solutions are only defined\n",
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" # in the solutions file\n",
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" pass\n",
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"\n",
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"if __name__ == '__main__':\n",
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" main()\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"%run -i test_group_ordered.py"
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]
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}
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],
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"metadata": {
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"celltoolbar": "Edit Metadata",
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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from nose.tools import assert_equal
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class TestGroupOrdered(object):
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def test_group_ordered(self,func):
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assert_equal(func(None), None)
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assert_equal(func([]), [])
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assert_equal(func([1]), [1])
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assert_equal(func([1,2,1,3,2]),[1,1,2,2,3])
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assert_equal(func(['a','b','a']),['a','a','b'])
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assert_equal(func([1,1,2,3,4,5,2,1]),[1,1,1,2,2,3,4,5])
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assert_equal(func([1,2,3,4,3,4]),[1,2,3,3,4,4])
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def main():
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test = TestGroupOrdered()
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test.test_group_ordered(group_ordered)
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try:
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test.test_group_ordered(group_ordered_alt)
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except NameError:
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# Alternate solutions are only defined
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# in the solutions file
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pass
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if __name__ == '__main__':
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main()
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