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https://github.com/donnemartin/interactive-coding-challenges
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Added notebook solving the following: Implement a stack with push, pop, and min methods running O(1) time.
This commit is contained in:
@@ -33,6 +33,7 @@ Continually updated IPython Notebooks containing coding problems and solutions (
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* [Implement a stack with push, pop, and peek methods using a linked list](http://nbviewer.ipython.org/github/donnemartin/algorithms-data-structures/blob/master/stacks-queues/stack.ipynb)
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* [Implement a queue with enqueue and dequeue methods using a linked list](http://nbviewer.ipython.org/github/donnemartin/algorithms-data-structures/blob/master/stacks-queues/queue.ipynb)
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* [Implement n stacks using a single array](http://nbviewer.ipython.org/github/donnemartin/algorithms-data-structures/blob/master/stacks-queues/n-stacks.ipynb)
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* [Implement a stack that keeps track of its minimum element](http://nbviewer.ipython.org/github/donnemartin/algorithms-data-structures/blob/master/stacks-queues/stack-min.ipynb)
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## License
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175
stacks-queues/stack-min.ipynb
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175
stacks-queues/stack-min.ipynb
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@@ -0,0 +1,175 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Problem: Implement a stack with push, pop, and min methods running O(1) time.\n",
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"\n",
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"* [Clarifying Questions](#Clarifying-Questions)\n",
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"* [Test Cases](#Test-Cases)\n",
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"* [Algorithm](#Algorithm)\n",
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"* [Code](#Code)\n",
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"* [Pythonic-Code](#Pythonic-Code)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Clarifying Questions\n",
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"\n",
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"* Is this a stack of ints?\n",
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" * Yes"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Test Cases\n",
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"\n",
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"* Push/pop on empty stack\n",
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"* Push/pop on non-empty stack"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Algorithm\n",
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"\n",
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"We'll use a second stack to keep track of the minimum values.\n",
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"\n",
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"### Min\n",
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"\n",
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"* If the second stack is empty, return the max int value\n",
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"* Else, return the top of the stack, without popping it\n",
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"\n",
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"Complexity:\n",
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"* Time: O(1)\n",
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"* Space: O(1)\n",
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"\n",
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"### Push\n",
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"\n",
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"* Push the data\n",
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"* If the data is less than min\n",
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" * Push data to second stack\n",
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"\n",
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"Complexity:\n",
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"* Time: O(1)\n",
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"* Space: O(n)\n",
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"\n",
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"### Pop\n",
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"\n",
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"* Pop the data\n",
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"* If the data is equal to min\n",
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" * Pop the top of the second stack\n",
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"* Return the data\n",
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"\n",
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"Complexity:\n",
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"* Time: O(1)\n",
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"* Space: O(1)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Code"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"%run stack.py"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import sys\n",
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"\n",
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"class MyStack(Stack):\n",
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" def __init__(self, top=None):\n",
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" self.min_vals = Stack()\n",
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" super(MyStack, self).__init__(top)\n",
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"\n",
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" def min(self):\n",
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" if self.min_vals.top is None:\n",
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" return sys.maxint\n",
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" else:\n",
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" return self.min_vals.peek()\n",
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"\n",
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" def push(self, data):\n",
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" super(MyStack, self).push(data)\n",
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" if data < self.min():\n",
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" self.min_vals.push(data)\n",
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"\n",
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" def pop(self):\n",
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" data = super(MyStack, self).pop()\n",
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" if data == self.min():\n",
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" self.min_vals.pop()\n",
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" return data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"print('Push on empty stack, non-empty stack')\n",
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"stack = MyStack()\n",
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"stack.push(5)\n",
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"print('Push:', stack.peek(), 'Min after push:', stack.min())\n",
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"stack.push(1)\n",
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"print('Push:', stack.peek(), 'Min after push:', stack.min())\n",
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"stack.push(3)\n",
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"print('Push:', stack.peek(), 'Min after push:', stack.min())\n",
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"stack.push(0)\n",
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"print('Push:', stack.peek(), 'Min after push:', stack.min())\n",
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"print('Pop on non-empty stack')\n",
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"print('Pop:', stack.pop(), 'Min after pop:', stack.min())\n",
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"print('Pop:', stack.pop(), 'Min after pop:', stack.min())\n",
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"print('Pop:', stack.pop(), 'Min after pop:', stack.min())\n",
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"print('Pop:', stack.pop(), 'Min after pop:', stack.min())\n",
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"print('Stack contents:', stack.peek())\n",
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"print('Pop empty stack:', stack.pop())"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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