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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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10
Dynamic-Programming/Shuf.js
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@ -3,7 +3,7 @@ Given a data set of an unknown size,
Get a random sample in a random order
It's used in data analytics, often as a way to get a small random sample from a data lake or warehouse, or from a large CSV file
*/
function shuf (datasetSource, sampleSize) {
function shuf(datasetSource, sampleSize) {
const output = fillBaseSample(datasetSource, sampleSize)
return randomizeOutputFromDataset(datasetSource, output)
@ -16,7 +16,7 @@ function shuf (datasetSource, sampleSize) {
* @returns {Array.<T>} The random sample, as an array
* @template T
*/
function fillBaseSample (datasetSource, sampleSize) {
function fillBaseSample(datasetSource, sampleSize) {
let filledIndexes = []
let output = new Array(sampleSize)
@ -58,7 +58,7 @@ function fillBaseSample (datasetSource, sampleSize) {
* @returns {Array.<T>} The random sample, as an array
* @template T
*/
function randomizeOutputFromDataset (datasetSource, output) {
function randomizeOutputFromDataset(datasetSource, output) {
const newOutput = [...output]
let readSoFar = output.length
@ -82,8 +82,8 @@ function randomizeOutputFromDataset (datasetSource, output) {
* Generates a random range of data, with values between 0 and 2^31 - 1
* @param {number} length The number of data items to generate
* @returns {Iterable<number>} Random iterable data
*/
function * generateRandomData (length) {
*/
function* generateRandomData(length) {
const maxValue = Math.pow(2, 31) - 1
for (let i = 0; i < length; i++) {
yield Math.floor(Math.random() * maxValue)