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/Bootcamp | ||
.ipynb_checkpoints |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Balanced Parentheses Check \n", | ||
"\n", | ||
"## Problem Statement\n", | ||
"\n", | ||
"Given a string of opening and closing parentheses, check whether it’s balanced. We have 3 types of parentheses: round brackets: (), square brackets: [], and curly brackets: {}. Assume that the string doesn’t contain any other character than these, no spaces words or numbers. As a reminder, balanced parentheses require every opening parenthesis to be closed in the reverse order opened. For example ‘([])’ is balanced but ‘([)]’ is not. \n", | ||
"\n", | ||
"\n", | ||
"You can assume the input string has no spaces.\n", | ||
"\n", | ||
"## Solution\n", | ||
"\n", | ||
"Fill out your solution below:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 35, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"def balance_check(s):\n", | ||
" if len(s)%2!=0:\n", | ||
" return False\n", | ||
" \n", | ||
" # mapping closing and openning Parentheses of the same type\n", | ||
" dic = {\"{\":\"}\",\"[\":\"]\",\"(\":\")\"}\n", | ||
" \n", | ||
" open_ = dic.keys()\n", | ||
" close = dic.values()\n", | ||
" \n", | ||
" stack = list() # Create an Empty stack (we can treat a list as a stack)\n", | ||
" \n", | ||
" # The idea is to loop through the string and see if\n", | ||
" # 1- each parentheses is opened and closed and opened before it's closed\n", | ||
" # 2- each inner parentheses closes before an outer one does\n", | ||
" # This can be done by having a stack that keeps a reverse order of \n", | ||
" # the opened parentheses, and checks each time a parentheses is closed \n", | ||
" # if it's the last one that have been opened\n", | ||
" \n", | ||
" for i in s: \n", | ||
" if i in open_:\n", | ||
" stack.append(i)\n", | ||
" elif i in close:\n", | ||
" if dic[stack[-1]]==i:\n", | ||
" stack.pop()\n", | ||
" else:\n", | ||
" return False\n", | ||
" return True" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 36, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"True" | ||
] | ||
}, | ||
"execution_count": 36, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"balance_check('[]')" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 25, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"True" | ||
] | ||
}, | ||
"execution_count": 25, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"balance_check('[](){([[[]]])}')" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 26, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"False" | ||
] | ||
}, | ||
"execution_count": 26, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"balance_check('()(){]}')" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Test Your Solution" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 27, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"ALL TEST CASES PASSED\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"\"\"\"\n", | ||
"RUN THIS CELL TO TEST YOUR SOLUTION\n", | ||
"\"\"\"\n", | ||
"from nose.tools import assert_equal\n", | ||
"\n", | ||
"class TestBalanceCheck(object):\n", | ||
" \n", | ||
" def test(self,sol):\n", | ||
" assert_equal(sol('[](){([[[]]])}('),False)\n", | ||
" assert_equal(sol('[{{{(())}}}]((()))'),True)\n", | ||
" assert_equal(sol('[[[]])]'),False)\n", | ||
" print('ALL TEST CASES PASSED')\n", | ||
" \n", | ||
"# Run Tests\n", | ||
"\n", | ||
"t = TestBalanceCheck()\n", | ||
"t.test(balance_check)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Good Job!" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.7.3" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 4 | ||
} |
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