mirror of
https://github.com/donnemartin/interactive-coding-challenges.git
synced 2024-03-22 13:11:13 +08:00
187 lines
4.6 KiB
Python
187 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 positive integer, get the next largest number and the next smallest number with the same number of 1's as the given number.\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 the output a positive int?\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 -> Exception\n",
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"* 0 -> Exception\n",
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"* negative int -> Exception\n",
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"* General case:\n",
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"<pre>\n",
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" * Input: 0000 0000 1101 0111\n",
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" * Next largest: 0000 0000 1101 1011\n",
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" * Next smallest: 0000 0000 1100 1111\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 Bits(object):\n",
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"\n",
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" def get_next_largest(self, num):\n",
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" # TODO: Implement me\n",
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" pass\n",
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"\n",
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" def get_next_smallest(self, num):\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_get_next_largest.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 TestBits(object):\n",
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"\n",
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" def test_get_next_largest(self):\n",
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" bits = Bits()\n",
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" assert_raises(Exception, bits.get_next_largest, None)\n",
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" assert_raises(Exception, bits.get_next_largest, 0)\n",
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" assert_raises(Exception, bits.get_next_largest, -1)\n",
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" num = int('011010111', base=2)\n",
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" expected = int('011011011', base=2)\n",
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" assert_equal(bits.get_next_largest(num), expected)\n",
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" print('Success: test_get_next_largest')\n",
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"\n",
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" def test_get_next_smallest(self):\n",
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" bits = Bits()\n",
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" assert_raises(Exception, bits.get_next_smallest, None)\n",
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" assert_raises(Exception, bits.get_next_smallest, 0)\n",
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" assert_raises(Exception, bits.get_next_smallest, -1)\n",
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" num = int('011010111', base=2)\n",
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" expected = int('011001111', base=2)\n",
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" assert_equal(bits.get_next_smallest(num), expected)\n",
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" print('Success: test_get_next_smallest')\n",
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"\n",
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"def main():\n",
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" test = TestBits()\n",
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" test.test_get_next_largest()\n",
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" test.test_get_next_smallest()\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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