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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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" # Challenge Notebook "
]
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" ## Problem: Implement a stack with push, pop, and min methods running O(1) time. \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) "
]
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" ## Constraints \n " ,
" \n " ,
" * Can we assume this is a stack of ints? \n " ,
" * Yes \n " ,
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" * Can we assume the input values for push are valid? \n " ,
" * Yes \n " ,
" * If we call this function on an empty stack, can we return sys.maxsize? \n " ,
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" * Yes \n " ,
" * Can we assume we already have a stack class that can be used for this problem? \n " ,
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" * Yes \n " ,
" * Can we assume this fits memory? \n " ,
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" * Yes "
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" ## Test Cases \n " ,
" \n " ,
" * Push/pop on empty stack \n " ,
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" * Push/pop on non-empty stack \n " ,
" * Min on empty stack \n " ,
" * Min on non-tempty stack "
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]
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" ## Algorithm \n " ,
" \n " ,
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" Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/stacks_queues/stack_min/stack_min_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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" ## Code "
]
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" source " : [
" %r un ../stack/stack.py \n " ,
" %lo ad ../stack/stack.py "
]
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" import sys \n " ,
" \n " ,
" \n " ,
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" class StackMin(Stack): \n " ,
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" \n " ,
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" def __init__(self, top=None): \n " ,
" # TODO: Implement me \n " ,
" pass \n " ,
" \n " ,
" def min(self): \n " ,
" # TODO: Implement me \n " ,
" pass \n " ,
" \n " ,
" def push(self, data): \n " ,
" # TODO: Implement me \n " ,
" pass \n " ,
" \n " ,
" def pop(self): \n " ,
" # TODO: Implement me \n " ,
" pass "
]
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" ## Unit Test \n " ,
" \n " ,
" \n " ,
" \n " ,
" **The following unit test is expected to fail until you solve the challenge.** "
]
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" # %lo ad test_stack_min.py \n " ,
" from nose.tools import assert_equal \n " ,
" \n " ,
" \n " ,
" class TestStackMin(object): \n " ,
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" \n " ,
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" def test_stack_min(self): \n " ,
" print( ' Test: Push on empty stack, non-empty stack ' ) \n " ,
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" stack = StackMin() \n " ,
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" stack.push(5) \n " ,
" assert_equal(stack.peek(), 5) \n " ,
" assert_equal(stack.min(), 5) \n " ,
" stack.push(1) \n " ,
" assert_equal(stack.peek(), 1) \n " ,
" assert_equal(stack.min(), 1) \n " ,
" stack.push(3) \n " ,
" assert_equal(stack.peek(), 3) \n " ,
" assert_equal(stack.min(), 1) \n " ,
" stack.push(0) \n " ,
" assert_equal(stack.peek(), 0) \n " ,
" assert_equal(stack.min(), 0) \n " ,
" \n " ,
" print( ' Test: Pop on non-empty stack ' ) \n " ,
" assert_equal(stack.pop(), 0) \n " ,
" assert_equal(stack.min(), 1) \n " ,
" assert_equal(stack.pop(), 3) \n " ,
" assert_equal(stack.min(), 1) \n " ,
" assert_equal(stack.pop(), 1) \n " ,
" assert_equal(stack.min(), 5) \n " ,
" assert_equal(stack.pop(), 5) \n " ,
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" assert_equal(stack.min(), sys.maxsize) \n " ,
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" \n " ,
" print( ' Test: Pop empty stack ' ) \n " ,
" assert_equal(stack.pop(), None) \n " ,
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" \n " ,
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" print( ' Success: test_stack_min ' ) \n " ,
" \n " ,
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" \n " ,
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" def main(): \n " ,
" test = TestStackMin() \n " ,
" test.test_stack_min() \n " ,
" \n " ,
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" \n " ,
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" if __name__ == ' __main__ ' : \n " ,
" main() "
]
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" cell_type " : " markdown " ,
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" ## Solution Notebook \n " ,
" \n " ,
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" Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/stacks_queues/stack_min/stack_min_solution.ipynb) for a discussion on algorithms and code solutions. "
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