mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
189 lines
4.6 KiB
Python
189 lines
4.6 KiB
Python
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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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"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)."
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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: Given a list of tuples representing ranges, condense the ranges. \n",
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"\n",
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"Example: [(2, 3), (3, 5), (7, 9), (8, 10)] -> [(2, 5), (7, 10)]\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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"* Are the tuples in sorted order?\n",
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" * No\n",
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"* Are the tuples ints?\n",
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" * Yes\n",
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"* Will all tuples have the first element less than the second?\n",
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" * Yes\n",
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"* Is there an upper bound on the input range?\n",
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" * No\n",
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"* Is the output a list of tuples?\n",
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" * Yes\n",
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"* Is the output a new array?\n",
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" * Yes\n",
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"* Can we assume the inputs are valid?\n",
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" * No, check for None\n",
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"* Can we assume this fits memory?\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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"<pre>\n",
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"* None input -> TypeError\n",
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"* [] - []\n",
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"* [(2, 3), (7, 9)] -> [(2, 3), (7, 9)]\n",
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"* [(2, 3), (3, 5), (7, 9), (8, 10)] -> [(2, 5), (7, 10)]\n",
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"* [(2, 3), (3, 5), (7, 9), (8, 10), (1, 11)] -> [(1, 11)]\n",
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"* [(2, 3), (3, 8), (7, 9), (8, 10)] -> [(2, 10)]\n",
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"</pre>"
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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](). 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": null,
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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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"class Solution(object):\n",
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"\n",
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" def merge_ranges(self, array):\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": null,
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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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"# %load test_merge_ranges.py\n",
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"from nose.tools import assert_equal, assert_raises\n",
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"\n",
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"\n",
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"class TestMergeRanges(object):\n",
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"\n",
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" def test_merge_ranges(self):\n",
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" solution = Solution()\n",
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" assert_raises(TypeError, solution.merge_ranges, None)\n",
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" assert_equal(solution.merge_ranges([]), [])\n",
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" array = [(2, 3), (7, 9)]\n",
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" expected = [(2, 3), (7, 9)]\n",
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" assert_equal(solution.merge_ranges(array), expected)\n",
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" array = [(2, 3), (3, 5), (7, 9), (8, 10)]\n",
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" expected = [(2, 5), (7, 10)]\n",
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" assert_equal(solution.merge_ranges(array), expected)\n",
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" array = [(2, 3), (3, 5), (7, 9), (8, 10), (1, 11)]\n",
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" expected = [(1, 11)]\n",
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" assert_equal(solution.merge_ranges(array), expected)\n",
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" print('Success: test_merge_ranges')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestMergeRanges()\n",
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" test.test_merge_ranges()\n",
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"\n",
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"\n",
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"if __name__ == '__main__':\n",
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" main()"
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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]() 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 3",
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"language": "python",
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"name": "python3"
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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": 3
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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": "ipython3",
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"version": "3.5.0"
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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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