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feat: Test running overhaul, switch to Prettier & reformat everything (#1407)

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* chore: Switch to Node 20 + Vitest

* chore: migrate to vitest mock functions

* chore: code style (switch to prettier)

* test: re-enable long-running test

Seems the switch to Node 20 and Vitest has vastly improved the code's and / or the test's runtime!

see #1193

* chore: code style

* chore: fix failing tests

* Updated Documentation in README.md

* Update contribution guidelines to state usage of Prettier

* fix: set prettier printWidth back to 80

* chore: apply updated code style automatically

* fix: set prettier line endings to lf again

* chore: apply updated code style automatically

---------

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: Lars Müller <34514239+appgurueu@users.noreply.github.com>
This commit is contained in:
Roland Hummel
2023-10-03 23:08:19 +02:00
committed by GitHub
parent 0ca18c2b2c
commit 86d333ee94
392 changed files with 5849 additions and 16622 deletions
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42
Data-Structures/Heap/MinPriorityQueue.js
View File

@ -1,18 +1,18 @@
/* Minimum Priority Queue
* It is a part of heap data structure
* A heap is a specific tree based data structure
* in which all the nodes of tree are in a specific order.
* that is the children are arranged in some
* respect of their parents, can either be greater
* or less than the parent. This makes it a min priority queue
* or max priority queue.
*/
* It is a part of heap data structure
* A heap is a specific tree based data structure
* in which all the nodes of tree are in a specific order.
* that is the children are arranged in some
* respect of their parents, can either be greater
* or less than the parent. This makes it a min priority queue
* or max priority queue.
*/
// Functions: insert, delete, peek, isEmpty, print, heapSort, sink
class MinPriorityQueue {
// calls the constructor and initializes the capacity
constructor (c) {
constructor(c) {
this.heap = []
this.capacity = c
this.size = 0
@ -20,7 +20,7 @@ class MinPriorityQueue {
// inserts the key at the end and rearranges it
// so that the binary heap is in appropriate order
insert (key) {
insert(key) {
if (this.isFull()) return
this.heap[this.size + 1] = key
let k = this.size + 1
@ -36,33 +36,36 @@ class MinPriorityQueue {
}
// returns the highest priority value
peek () {
peek() {
return this.heap[1]
}
// returns boolean value whether the heap is empty or not
isEmpty () {
isEmpty() {
return this.size === 0
}
// returns boolean value whether the heap is full or not
isFull () {
isFull() {
return this.size === this.capacity
}
// prints the heap
print (output = value => console.log(value)) {
print(output = (value) => console.log(value)) {
output(this.heap.slice(1))
}
// heap reverse can be done by performing swapping the first
// element with the last, removing the last element to
// new array and calling sink function.
heapReverse () {
heapReverse() {
const heapSort = []
while (this.size > 0) {
// swap first element with last element
[this.heap[1], this.heap[this.size]] = [this.heap[this.size], this.heap[1]]
;[this.heap[1], this.heap[this.size]] = [
this.heap[this.size],
this.heap[1]
]
heapSort.push(this.heap.pop())
this.size--
this.sink()
@ -74,7 +77,7 @@ class MinPriorityQueue {
}
// this function reorders the heap after every delete function
sink () {
sink() {
let k = 1
while (2 * k <= this.size || 2 * k + 1 <= this.size) {
let minIndex
@ -92,8 +95,7 @@ class MinPriorityQueue {
this.heap[k] > this.heap[2 * k] ||
this.heap[k] > this.heap[2 * k + 1]
) {
minIndex =
this.heap[2 * k] < this.heap[2 * k + 1] ? 2 * k : 2 * k + 1
minIndex = this.heap[2 * k] < this.heap[2 * k + 1] ? 2 * k : 2 * k + 1
} else {
minIndex = k
}
@ -107,7 +109,7 @@ class MinPriorityQueue {
// deletes the highest priority value from the heap. The last
// element goes to ahead to first position and reorder heap
delete () {
delete() {
// checks empty and one element array conditions
if (this.isEmpty()) return
if (this.size === 1) {