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interactive-coding-challenges/arrays_strings/priority_queue/priority_queue_solution.ipynb

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Python

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Solution Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem: Implement a priority queue backed by an array.\n",
"\n",
"* [Constraints](#Constraints)\n",
"* [Test Cases](#Test-Cases)\n",
"* [Algorithm](#Algorithm)\n",
"* [Code](#Code)\n",
"* [Unit Test](#Unit-Test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constraints\n",
"\n",
"* Do we expect the methods to be insert, extract_min, and decrease_key?\n",
" * Yes\n",
"* Can we assume there aren't any duplicate keys?\n",
" * Yes\n",
"* Do we need to validate inputs?\n",
" * No\n",
"* Can we assume this fits memory?\n",
" * Yes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"### insert\n",
"\n",
"* `insert` general case -> inserted node\n",
"\n",
"### extract_min\n",
"\n",
"* `extract_min` from an empty list -> None\n",
"* `extract_min` general case -> min node\n",
"\n",
"### decrease_key\n",
"\n",
"* `decrease_key` an invalid key -> None\n",
"* `decrease_key` general case -> updated node"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
"### insert\n",
"\n",
"* Append to the internal array.\n",
"\n",
"Complexity:\n",
"* Time: O(1)\n",
"* Space: O(1)\n",
"\n",
"### extract_min\n",
"\n",
"* Loop through each item in the internal array\n",
" * Update the min value as needed\n",
"* Remove the min element from the array and return it\n",
"\n",
"Complexity:\n",
"* Time: O(n)\n",
"* Space: O(1)\n",
"\n",
"### decrease_key\n",
"\n",
"* Loop through each item in the internal array to find the matching input\n",
" * Update the matching element's key\n",
"\n",
"Complexity:\n",
"* Time: O(n)\n",
"* Space: O(1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting priority_queue.py\n"
]
}
],
"source": [
"%%writefile priority_queue.py\n",
"import sys\n",
"\n",
"\n",
"class PriorityQueueNode(object):\n",
"\n",
" def __init__(self, obj, key):\n",
" self.obj = obj\n",
" self.key = key\n",
"\n",
" def __repr__(self):\n",
" return str(self.obj) + ': ' + str(self.key)\n",
"\n",
"\n",
"class PriorityQueue(object):\n",
"\n",
" def __init__(self):\n",
" self.array = []\n",
"\n",
" def __len__(self):\n",
" return len(self.array)\n",
"\n",
" def insert(self, node):\n",
" self.array.append(node)\n",
" return self.array[-1]\n",
"\n",
" def extract_min(self):\n",
" if not self.array:\n",
" return None\n",
" minimum = sys.maxsize\n",
" for index, node in enumerate(self.array):\n",
" if node.key < minimum:\n",
" minimum = node.key\n",
" minimum_index = index\n",
" return self.array.pop(minimum_index)\n",
"\n",
" def decrease_key(self, obj, new_key):\n",
" for node in self.array:\n",
" if node.obj is obj:\n",
" node.key = new_key\n",
" return node\n",
" return None"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%run priority_queue.py"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unit Test"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting test_priority_queue.py\n"
]
}
],
"source": [
"%%writefile test_priority_queue.py\n",
"import unittest\n",
"\n",
"\n",
"class TestPriorityQueue(unittest.TestCase):\n",
"\n",
" def test_priority_queue(self):\n",
" priority_queue = PriorityQueue()\n",
" self.assertEqual(priority_queue.extract_min(), None)\n",
" priority_queue.insert(PriorityQueueNode('a', 20))\n",
" priority_queue.insert(PriorityQueueNode('b', 5))\n",
" priority_queue.insert(PriorityQueueNode('c', 15))\n",
" priority_queue.insert(PriorityQueueNode('d', 22))\n",
" priority_queue.insert(PriorityQueueNode('e', 40))\n",
" priority_queue.insert(PriorityQueueNode('f', 3))\n",
" priority_queue.decrease_key('f', 2)\n",
" priority_queue.decrease_key('a', 19)\n",
" mins = []\n",
" while priority_queue.array:\n",
" mins.append(priority_queue.extract_min().key)\n",
" self.assertEqual(mins, [2, 5, 15, 19, 22, 40])\n",
" print('Success: test_min_heap')\n",
"\n",
"\n",
"def main():\n",
" test = TestPriorityQueue()\n",
" test.test_priority_queue()\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" main()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Success: test_min_heap\n"
]
}
],
"source": [
"%run -i test_priority_queue.py"
]
}
],
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