adds "remove specified char in given string" challenge and its solution

This commit is contained in:
muatik 2015-11-04 00:26:28 +03:00
parent 6276624914
commit df107d6278
3 changed files with 344 additions and 0 deletions

View File

View File

@ -0,0 +1,159 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<small><i>This notebook was prepared by [Mustafa Atik](https://www.linkedin.com/in/muatik). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges).</i></small>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Challenge Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem: Implement a funciton which removes specified character in a given string.\n",
"\n",
"* [Constraints](#Constraints)\n",
"* [Test Cases](#Test-Cases)\n",
"* [Algorithm](#Algorithm)\n",
"* [Code](#Code)\n",
"* [Unit Test](#Unit-Test)\n",
"* [Solution Notebook](#Solution-Notebook)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constraints\n",
"\n",
"* Can I assume the string is ASCII?\n",
" * Yes\n",
" * Note: Unicode strings could require special handling depending on your language"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"* \"a\" from \"tamamdir arAda\" -> \"tmmdir rAd\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
"Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/arrays_strings/hash_map/hash_map_solution.ipynb). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def remove_char(string, char):\n",
" # TODO: Implement me\n",
" pass\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unit Test"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"\n",
"**The following unit test is expected to fail until you solve the challenge.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# %load test_hash_map.py\n",
"from nose.tools import assert_equal\n",
"\n",
"\n",
"class TestRemoveChar(object):\n",
"\n",
" # TODO: It would be better if we had unit tests for each\n",
" # method in addition to the following end-to-end test\n",
" def test_end_to_end(self):\n",
" assert_equal(remove_char(\"tamamdir arAda\", \"a\"), \"tmmdir rAd\")\n",
" assert_equal(remove_char(\"wlkwlkfew wifiw longgglonggggw\", \"w\"), \"lklkfe ifi longgglongggg\")\n",
" assert_equal(remove_char(\"yu*lkke*\", \"*\"), \"yulkke\")\n",
" print('Success: remove_car')\n",
"\n",
"\n",
"def main():\n",
" test = TestHashMap()\n",
" test.test_end_to_end()\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" main()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Solution Notebook\n",
"\n",
"Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/arrays_strings/hash_map/hash_map_solution.ipynb) for a discussion on algorithms and code solutions."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

View File

@ -0,0 +1,185 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Constraints\n",
"\n",
"* Can I assume the string is ASCII?\n",
" * Yes\n",
" * Note: Unicode strings could require special handling depending on your language\n",
"\n",
"Test Case\n",
"\n",
"* \"a\" from \"tamamdir arAda\" -> \"tmmdir rAd\"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Algorithm\n",
"\n",
"Since Python strings are immutable, we'll use a list of chars instead to exercise in-place string manipulation as you would get with a C string.\n",
"\n",
"create a list as a string builder\n",
"\n",
"* for each character in string\n",
"* * checks whether the current char is not equal to removalChar\n",
"* * keep the char in the list\n",
" \n",
"#### Complexity:\n",
"\n",
"* Time: O(n)\n",
"* Space: O(n)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def remove_char(string, char):\n",
" newString = []\n",
" for i in string:\n",
" if char != i:\n",
" newString.append(i)\n",
" return \"\".join(newString)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Pythonic way\n",
"\n",
"You can achive the same goal in a concise way by using python's string modidication methods as follows:"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def remove_char2(string, char):\n",
" return string.translate(None, char)\n",
"\n",
"def remove_char3(string, char):\n",
" return string.replace(char, \"\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Unittests"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Success\n",
"Success\n",
"Success\n"
]
}
],
"source": [
"from nose.tools import assert_equal\n",
"\n",
"\n",
"def testWith(func):\n",
" assert_equal(func(\"tamamdir arAda\", \"a\"), \"tmmdir rAd\")\n",
" assert_equal(func(\"wlkwlkfew wifiw longgglonggggw\", \"w\"), \"lklkfe ifi longgglongggg\")\n",
" assert_equal(func(\"yu*lkke*\", \"*\"), \"yulkke\")\n",
" \n",
" print('Success')\n",
"testWith(remove_char)\n",
"testWith(remove_char2)\n",
"testWith(remove_char3)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Benchmark"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"remove_char 5.82854199409\n",
"remove_char2 0.402535915375\n",
"remove_char3 0.377779960632\n"
]
}
],
"source": [
"import timeit\n",
"print \"remove_char\", timeit.timeit(\n",
" \"remove_char('wlkwlkfew wifiw longgglonggggw', 'a')\",\n",
" \"from __main__ import remove_char\", number=1200000)\n",
"print \"remove_char2\", timeit.timeit(\n",
" \"remove_char2('wlkwlkfew wifiw longgglonggggw', 'a')\",\n",
" \"from __main__ import remove_char2\", number=1200000)\n",
"print \"remove_char3\", timeit.timeit(\n",
" \"remove_char3('wlkwlkfew wifiw longgglonggggw', 'a')\",\n",
" \"from __main__ import remove_char3\", number=1200000)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}