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https://github.com/donnemartin/interactive-coding-challenges
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fixed problems, new pull
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181
sorting_searching/selection_sort/insertion_sort_challenge.ipynb
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181
sorting_searching/selection_sort/insertion_sort_challenge.ipynb
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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 [Donne Martin](http://donnemartin.com). 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 insertion sort.\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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"* Is a naiive solution sufficient?\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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"* Empty input -> []\n",
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"* One element -> [element]\n",
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"* Two or more elements"
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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](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/sorting_searching/insertion_sort/insertion_sort_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": 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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"def insert(l,item_pos):\n",
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" item = l[item_pos]\n",
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" while item_pos > 0:\n",
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" if l[item_pos - 1] > item:\n",
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" l[item_pos - 1], l[item_pos] = l[item_pos], l[item_pos - 1]\n",
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" item_pos -= 1\n",
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" else:\n",
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" break\n",
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"\n",
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"def insertion_sort(data):\n",
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" for i,item in enumerate(data):\n",
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" insert(data,i)\n",
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" return data"
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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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"\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": 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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Empty input\n",
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"One element\n",
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"Two or more elements\n",
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"Success: test_insertion_sort\n"
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]
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}
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],
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"source": [
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"# %load test_insertion_sort.py\n",
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"from nose.tools import assert_equal\n",
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"\n",
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"\n",
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"class TestInsertionSort(object):\n",
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" \n",
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" def test_insertion_sort(self):\n",
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" print('Empty input')\n",
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" data = []\n",
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" insertion_sort(data)\n",
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" assert_equal(data, [])\n",
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"\n",
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" print('One element')\n",
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" data = [5]\n",
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" insertion_sort(data)\n",
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" assert_equal(data, [5])\n",
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"\n",
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" print('Two or more elements')\n",
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" data = [5, 1, 7, 2, 6, -3, 5, 7, -1]\n",
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" insertion_sort(data)\n",
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" assert_equal(data, sorted(data))\n",
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" \n",
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" print('Success: test_insertion_sort')\n",
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"\n",
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"if __name__ == '__main__':\n",
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" test = TestInsertionSort()\n",
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" test.test_insertion_sort()"
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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](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/sorting_searching/insertion_sort/insertion_sort_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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