| 1 | import os from 'node:os' |
| 2 | import type { |
| 3 | MeasurementStatisticsRequirements, |
| 4 | WorkerChoiceStrategyOptions |
| 5 | } from './pools/selection-strategies/selection-strategies-types' |
| 6 | |
| 7 | /** |
| 8 | * An intentional empty function. |
| 9 | */ |
| 10 | export const EMPTY_FUNCTION: () => void = Object.freeze(() => { |
| 11 | /* Intentionally empty */ |
| 12 | }) |
| 13 | |
| 14 | /** |
| 15 | * Default worker choice strategy options. |
| 16 | */ |
| 17 | export const DEFAULT_WORKER_CHOICE_STRATEGY_OPTIONS: WorkerChoiceStrategyOptions = |
| 18 | { |
| 19 | runTime: { median: false }, |
| 20 | waitTime: { median: false }, |
| 21 | elu: { median: false } |
| 22 | } |
| 23 | |
| 24 | /** |
| 25 | * Default measurement statistics requirements. |
| 26 | */ |
| 27 | export const DEFAULT_MEASUREMENT_STATISTICS_REQUIREMENTS: MeasurementStatisticsRequirements = |
| 28 | { |
| 29 | aggregate: false, |
| 30 | average: false, |
| 31 | median: false |
| 32 | } |
| 33 | |
| 34 | /** |
| 35 | * Returns safe host OS optimized estimate of the default amount of parallelism a pool should use. |
| 36 | * Always returns a value greater than zero. |
| 37 | * |
| 38 | * @returns The host OS optimized maximum pool size. |
| 39 | */ |
| 40 | export const availableParallelism = (): number => { |
| 41 | let availableParallelism = 1 |
| 42 | try { |
| 43 | availableParallelism = os.availableParallelism() |
| 44 | } catch { |
| 45 | const cpus = os.cpus() |
| 46 | if (Array.isArray(cpus) && cpus.length > 0) { |
| 47 | availableParallelism = cpus.length |
| 48 | } |
| 49 | } |
| 50 | return availableParallelism |
| 51 | } |
| 52 | |
| 53 | /** |
| 54 | * Computes the median of the given data set. |
| 55 | * |
| 56 | * @param dataSet - Data set. |
| 57 | * @returns The median of the given data set. |
| 58 | */ |
| 59 | export const median = (dataSet: number[]): number => { |
| 60 | if (Array.isArray(dataSet) && dataSet.length === 0) { |
| 61 | return 0 |
| 62 | } |
| 63 | if (Array.isArray(dataSet) && dataSet.length === 1) { |
| 64 | return dataSet[0] |
| 65 | } |
| 66 | const sortedDataSet = dataSet.slice().sort((a, b) => a - b) |
| 67 | return ( |
| 68 | (sortedDataSet[(sortedDataSet.length - 1) >> 1] + |
| 69 | sortedDataSet[sortedDataSet.length >> 1]) / |
| 70 | 2 |
| 71 | ) |
| 72 | } |
| 73 | |
| 74 | /** |
| 75 | * Rounds the given number to the given scale. |
| 76 | * The rounding is done using the "round half away from zero" method. |
| 77 | * |
| 78 | * @param num - The number to round. |
| 79 | * @param scale - The scale to round to. |
| 80 | * @returns The rounded number. |
| 81 | */ |
| 82 | export const round = (num: number, scale = 2): number => { |
| 83 | const rounder = Math.pow(10, scale) |
| 84 | return Math.round(num * rounder * (1 + Number.EPSILON)) / rounder |
| 85 | } |
| 86 | |
| 87 | /** |
| 88 | * Is the given object a plain object? |
| 89 | * |
| 90 | * @param obj - The object to check. |
| 91 | * @returns `true` if the given object is a plain object, `false` otherwise. |
| 92 | */ |
| 93 | export const isPlainObject = (obj: unknown): boolean => |
| 94 | typeof obj === 'object' && |
| 95 | obj !== null && |
| 96 | obj?.constructor === Object && |
| 97 | Object.prototype.toString.call(obj) === '[object Object]' |