interactive-coding-challenges/stacks_queues/stack_min/stack_min_challenge.ipynb

215 lines
5.5 KiB
Python

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"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Challenge Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 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)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constraints\n",
"\n",
"* Can we assume this is a stack of ints?\n",
" * Yes\n",
"* 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",
" * Yes\n",
"* Can we assume we already have a stack class that can be used for this problem?\n",
" * Yes\n",
"* Can we assume this fits memory?\n",
" * Yes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"* Push/pop on empty stack\n",
"* Push/pop on non-empty stack\n",
"* Min on empty stack\n",
"* Min on non-empty stack"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
"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."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
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"outputs": [],
"source": [
"%run ../stack/stack.py\n",
"%load ../stack/stack.py"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
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"outputs": [],
"source": [
"import sys\n",
"\n",
"\n",
"class StackMin(Stack):\n",
"\n",
" def __init__(self, top=None):\n",
" # TODO: Implement me\n",
" pass\n",
"\n",
" def minimum(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"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unit Test\n",
"\n",
"\n",
"\n",
"**The following unit test is expected to fail until you solve the challenge.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# %load test_stack_min.py\n",
"import unittest\n",
"\n",
"\n",
"class TestStackMin(unittest.TestCase):\n",
"\n",
" def test_stack_min(self):\n",
" print('Test: Push on empty stack, non-empty stack')\n",
" stack = StackMin()\n",
" stack.push(5)\n",
" self.assertEqual(stack.peek(), 5)\n",
" self.assertEqual(stack.minimum(), 5)\n",
" stack.push(1)\n",
" self.assertEqual(stack.peek(), 1)\n",
" self.assertEqual(stack.minimum(), 1)\n",
" stack.push(3)\n",
" self.assertEqual(stack.peek(), 3)\n",
" self.assertEqual(stack.minimum(), 1)\n",
" stack.push(0)\n",
" self.assertEqual(stack.peek(), 0)\n",
" self.assertEqual(stack.minimum(), 0)\n",
"\n",
" print('Test: Pop on non-empty stack')\n",
" self.assertEqual(stack.pop(), 0)\n",
" self.assertEqual(stack.minimum(), 1)\n",
" self.assertEqual(stack.pop(), 3)\n",
" self.assertEqual(stack.minimum(), 1)\n",
" self.assertEqual(stack.pop(), 1)\n",
" self.assertEqual(stack.minimum(), 5)\n",
" self.assertEqual(stack.pop(), 5)\n",
" self.assertEqual(stack.minimum(), sys.maxsize)\n",
"\n",
" print('Test: Pop empty stack')\n",
" self.assertEqual(stack.pop(), None)\n",
"\n",
" print('Success: test_stack_min')\n",
"\n",
"\n",
"def main():\n",
" test = TestStackMin()\n",
" test.test_stack_min()\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/stacks_queues/stack_min/stack_min_solution.ipynb) for a discussion on algorithms and code solutions."
]
}
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