mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
237 lines
6.0 KiB
Python
237 lines
6.0 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 an array of (unix_timestamp, num_people, EventType.ENTER or EventType.EXIT), find the busiest period.\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 assume the input array is valid?\n",
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" * Check for None\n",
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"* Can we assume the elements of the input array are valid?\n",
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" * Yes\n",
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"* Is the input sorted by time?\n",
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" * No\n",
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"* Can you have enter and exit elements for the same timestamp?\n",
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" * Yes you can, order of enter and exit is not guaranteed\n",
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"* Could we have multiple enter events (or multiple exit events) for the same timestamp?\n",
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" * No\n",
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"* What is the format of the output?\n",
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" * An array of timestamps [t1, t2]\n",
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"* Can we assume the starting number of people is zero?\n",
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" * Yes\n",
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"* Can we assume the inputs are valid?\n",
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" * No\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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"* None -> TypeError\n",
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"* [] -> None\n",
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"* General case\n",
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"\n",
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"<pre>\n",
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"timestamp num_people event_type\n",
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"1 2 EventType.ENTER\n",
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"3 1 EventType.ENTER\n",
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"3 2 EventType.EXIT\n",
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"7 3 EventType.ENTER\n",
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"8 2 EventType.EXIT\n",
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"9 2 EventType.EXIT\n",
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"\n",
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"result = Period(7, 8)\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": true
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},
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"outputs": [],
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"source": [
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"from enum import Enum\n",
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"\n",
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"\n",
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"class Data(object):\n",
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"\n",
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" def __init__(self, timestamp, num_people, event_type):\n",
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" self.timestamp = timestamp\n",
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" self.num_people = num_people\n",
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" self.event_type = event_type\n",
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"\n",
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" def __lt__(self, other):\n",
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" return self.timestamp < other.timestamp\n",
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"\n",
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"\n",
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"class Period(object):\n",
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"\n",
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" def __init__(self, start, end):\n",
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" self.start = start\n",
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" self.end = end\n",
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"\n",
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" def __eq__(self, other):\n",
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" return self.start == other.start and self.end == other.end\n",
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"\n",
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" def __repr__(self):\n",
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" return str(self.start) + ', ' + str(self.end)\n",
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"\n",
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"\n",
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"class EventType(Enum):\n",
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"\n",
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" ENTER = 0\n",
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" EXIT = 1"
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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 find_busiest_period(self, data):\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_find_busiest_period.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 TestSolution(object):\n",
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"\n",
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" def test_find_busiest_period(self):\n",
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" solution = Solution()\n",
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" assert_raises(TypeError, solution.find_busiest_period, None)\n",
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" assert_equal(solution.find_busiest_period([]), None)\n",
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" data = [\n",
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" Data(3, 2, EventType.EXIT),\n",
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" Data(1, 2, EventType.ENTER),\n",
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" Data(3, 1, EventType.ENTER),\n",
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" Data(7, 3, EventType.ENTER),\n",
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" Data(9, 2, EventType.EXIT),\n",
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" Data(8, 2, EventType.EXIT),\n",
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" ]\n",
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" assert_equal(solution.find_busiest_period(data), Period(7, 8))\n",
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" print('Success: test_find_busiest_period')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestSolution()\n",
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" test.test_find_busiest_period()\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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