interactive-coding-challenges/stacks_queues/n_stacks/n_stacks_challenge.ipynb

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{
"cells": [
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"<small><i>This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges).</i></small>"
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]
},
{
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"source": [
"# Challenge Notebook"
]
},
{
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"metadata": {},
"source": [
"## Problem: Implement n stacks using a single array.\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",
"* Are the stacks and array a fixed size?\n",
" * Yes\n",
"* Are the stacks equally sized?\n",
" * Yes\n",
"* Does pushing to a full stack result in an exception?\n",
" * Yes\n",
"* Does popping from an empty stack result in an exception?\n",
" * Yes\n",
"* Can we assume the user passed in stack index is valid?\n",
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" * Yes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"* Test the following on the three stacks:\n",
" * Push to full stack -> Exception\n",
" * Push to non-full stack\n",
" * Pop on empty stack -> Exception\n",
" * Pop on non-empty stack"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 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/n_stacks/n_stacks_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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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": null,
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"collapsed": true
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"outputs": [],
"source": [
"class Stacks(object):\n",
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"\n",
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" def __init__(self, num_stacks, stack_size):\n",
" # TODO: Implement me\n",
" pass\n",
"\n",
" def abs_index(self, stack_index):\n",
" # TODO: Implement me\n",
" pass\n",
"\n",
" def push(self, stack_index, data):\n",
" # TODO: Implement me\n",
" pass\n",
"\n",
" def pop(self, stack_index):\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": {
"collapsed": false
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"outputs": [],
"source": [
"# %load test_n_stacks.py\n",
"from nose.tools import assert_equal\n",
"from nose.tools import raises\n",
"\n",
"\n",
"class TestStacks(object):\n",
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"\n",
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" @raises(Exception)\n",
" def test_pop_on_empty(self, num_stacks, stack_size):\n",
" print('Test: Pop on empty stack')\n",
" stacks = Stacks(num_stacks, stack_size)\n",
" stacks.pop(0)\n",
"\n",
" @raises(Exception)\n",
" def test_push_on_full(self, num_stacks, stack_size):\n",
" print('Test: Push to full stack')\n",
" stacks = Stacks(num_stacks, stack_size)\n",
" for i in range(0, stack_size):\n",
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" stacks.push(2, i)\n",
" stacks.push(2, stack_size)\n",
"\n",
" def test_stacks(self, num_stacks, stack_size):\n",
" print('Test: Push to non-full stack')\n",
" stacks = Stacks(num_stacks, stack_size)\n",
" stacks.push(0, 1)\n",
" stacks.push(0, 2)\n",
" stacks.push(1, 3)\n",
" stacks.push(2, 4)\n",
"\n",
" print('Test: Pop on non-empty stack')\n",
" assert_equal(stacks.pop(0), 2)\n",
" assert_equal(stacks.pop(0), 1)\n",
" assert_equal(stacks.pop(1), 3)\n",
" assert_equal(stacks.pop(2), 4)\n",
"\n",
" print('Success: test_stacks\\n')\n",
"\n",
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"\n",
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"def main():\n",
" num_stacks = 3\n",
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" stack_size = 100\n",
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" test = TestStacks()\n",
" test.test_pop_on_empty(num_stacks, stack_size)\n",
" test.test_push_on_full(num_stacks, stack_size)\n",
" test.test_stacks(num_stacks, stack_size)\n",
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"\n",
"\n",
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"if __name__ == '__main__':\n",
" main()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 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/n_stacks/n_stacks_solution.ipynb) for a discussion on algorithms and code solutions."
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]
}
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"display_name": "Python 3",
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