mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
189 lines
4.7 KiB
Python
189 lines
4.7 KiB
Python
{
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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](http://donnemartin.com). 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: Implement the [Towers of Hanoi](http://en.wikipedia.org/wiki/Tower_of_Hanoi) with 3 towers and N disks.\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 we already have a stack class that can be used for this problem?\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 tower(s) -> Exception\n",
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"* 0 disks -> None\n",
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"* 1 disk\n",
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"* 2 or more disks"
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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/stacks_queues/hanoi/hanoi_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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%run ../../stacks_queues/stack/stack.py\n",
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"%load ../../stacks_queues/stack/stack.py"
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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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"outputs": [],
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"source": [
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"class Hanoi(object):\n",
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"\n",
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" def move_disks(self, num_disks, src, dest, buff):\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\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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# %load test_hanoi.py\n",
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"import unittest\n",
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"\n",
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"\n",
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"class TestHanoi(unittest.TestCase):\n",
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"\n",
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" def test_hanoi(self):\n",
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" hanoi = Hanoi()\n",
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" num_disks = 3\n",
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" src = Stack()\n",
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" buff = Stack()\n",
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" dest = Stack()\n",
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"\n",
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" print('Test: None towers')\n",
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" self.assertRaises(TypeError, hanoi.move_disks, num_disks, None, None, None)\n",
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"\n",
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" print('Test: 0 disks')\n",
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" hanoi.move_disks(num_disks, src, dest, buff)\n",
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" self.assertEqual(dest.pop(), None)\n",
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"\n",
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" print('Test: 1 disk')\n",
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" src.push(5)\n",
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" hanoi.move_disks(num_disks, src, dest, buff)\n",
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" self.assertEqual(dest.pop(), 5)\n",
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"\n",
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" print('Test: 2 or more disks')\n",
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" for disk_index in range(num_disks, -1, -1):\n",
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" src.push(disk_index)\n",
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" hanoi.move_disks(num_disks, src, dest, buff)\n",
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" for disk_index in range(0, num_disks):\n",
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" self.assertEqual(dest.pop(), disk_index)\n",
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"\n",
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" print('Success: test_hanoi')\n",
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"\n",
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"\n",
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"def main():\n",
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" test = TestHanoi()\n",
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" test.test_hanoi()\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](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/stacks_queues/hanoi/hanoi_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 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": "3.7.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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