+import * as os from 'node:os'
+import type {
+ MeasurementStatisticsRequirements,
+ WorkerChoiceStrategyOptions
+} from './pools/selection-strategies/selection-strategies-types'
+import type { KillBehavior } from './worker/worker-options'
+import type { MeasurementStatistics } from './pools/worker'
+
+/**
+ * Default task name.
+ */
+export const DEFAULT_TASK_NAME = 'default'
+
/**
* An intentional empty function.
*/
})
/**
- * Returns the median of the given data set.
+ * Default worker choice strategy options.
+ */
+export const DEFAULT_WORKER_CHOICE_STRATEGY_OPTIONS: WorkerChoiceStrategyOptions =
+ {
+ choiceRetries: 6,
+ runTime: { median: false },
+ waitTime: { median: false },
+ elu: { median: false }
+ }
+
+/**
+ * Default measurement statistics requirements.
+ */
+export const DEFAULT_MEASUREMENT_STATISTICS_REQUIREMENTS: MeasurementStatisticsRequirements =
+ {
+ aggregate: false,
+ average: false,
+ median: false
+ }
+
+/**
+ * Returns safe host OS optimized estimate of the default amount of parallelism a pool should use.
+ * Always returns a value greater than zero.
+ *
+ * @returns The host OS optimized maximum pool size.
+ * @internal
+ */
+export const availableParallelism = (): number => {
+ let availableParallelism = 1
+ try {
+ availableParallelism = os.availableParallelism()
+ } catch {
+ const numberOfCpus = os.cpus()
+ if (Array.isArray(numberOfCpus) && numberOfCpus.length > 0) {
+ availableParallelism = numberOfCpus.length
+ }
+ }
+ return availableParallelism
+}
+
+// /**
+// * Computes the retry delay in milliseconds using an exponential back off algorithm.
+// *
+// * @param retryNumber - The number of retries that have already been attempted
+// * @param maxDelayRatio - The maximum ratio of the delay that can be randomized
+// * @returns Delay in milliseconds
+// * @internal
+// */
+// export const exponentialDelay = (
+// retryNumber = 0,
+// maxDelayRatio = 0.2
+// ): number => {
+// const delay = Math.pow(2, retryNumber) * 100
+// const randomSum = delay * maxDelayRatio * Math.random() // 0-(maxDelayRatio*100)% of the delay
+// return delay + randomSum
+// }
+
+/**
+ * Computes the median of the given data set.
*
* @param dataSet - Data set.
* @returns The median of the given data set.
+ * @internal
*/
export const median = (dataSet: number[]): number => {
+ if (Array.isArray(dataSet) && dataSet.length === 0) {
+ return 0
+ }
if (Array.isArray(dataSet) && dataSet.length === 1) {
return dataSet[0]
}
const sortedDataSet = dataSet.slice().sort((a, b) => a - b)
- const middleIndex = Math.floor(sortedDataSet.length / 2)
- if (sortedDataSet.length % 2 === 0) {
- return sortedDataSet[middleIndex / 2]
+ return (
+ (sortedDataSet[(sortedDataSet.length - 1) >> 1] +
+ sortedDataSet[sortedDataSet.length >> 1]) /
+ 2
+ )
+}
+
+/**
+ * Rounds the given number to the given scale.
+ * The rounding is done using the "round half away from zero" method.
+ *
+ * @param num - The number to round.
+ * @param scale - The scale to round to.
+ * @returns The rounded number.
+ */
+export const round = (num: number, scale = 2): number => {
+ const rounder = Math.pow(10, scale)
+ return Math.round(num * rounder * (1 + Number.EPSILON)) / rounder
+}
+
+/**
+ * Is the given object a plain object?
+ *
+ * @param obj - The object to check.
+ * @returns `true` if the given object is a plain object, `false` otherwise.
+ */
+export const isPlainObject = (obj: unknown): boolean =>
+ typeof obj === 'object' &&
+ obj !== null &&
+ obj?.constructor === Object &&
+ Object.prototype.toString.call(obj) === '[object Object]'
+
+/**
+ * Detects whether the given value is a kill behavior or not.
+ *
+ * @typeParam KB - Which specific KillBehavior type to test against.
+ * @param killBehavior - Which kind of kill behavior to detect.
+ * @param value - Any value.
+ * @returns `true` if `value` was strictly equals to `killBehavior`, otherwise `false`.
+ * @internal
+ */
+export const isKillBehavior = <KB extends KillBehavior>(
+ killBehavior: KB,
+ value: unknown
+): value is KB => {
+ return value === killBehavior
+}
+
+/**
+ * Detects whether the given value is an asynchronous function or not.
+ *
+ * @param fn - Any value.
+ * @returns `true` if `fn` was an asynchronous function, otherwise `false`.
+ */
+export const isAsyncFunction = (
+ fn: unknown
+): fn is (...args: unknown[]) => Promise<unknown> => {
+ return typeof fn === 'function' && fn.constructor.name === 'AsyncFunction'
+}
+
+/**
+ * Updates the given measurement statistics.
+ *
+ * @param measurementStatistics - The measurement statistics to update.
+ * @param measurementRequirements - The measurement statistics requirements.
+ * @param measurementValue - The measurement value.
+ * @param numberOfMeasurements - The number of measurements.
+ * @internal
+ */
+export const updateMeasurementStatistics = (
+ measurementStatistics: MeasurementStatistics,
+ measurementRequirements: MeasurementStatisticsRequirements,
+ measurementValue: number,
+ numberOfMeasurements: number
+): void => {
+ if (measurementRequirements.aggregate) {
+ measurementStatistics.aggregate =
+ (measurementStatistics.aggregate ?? 0) + measurementValue
+ measurementStatistics.minimum = Math.min(
+ measurementValue,
+ measurementStatistics.minimum ?? Infinity
+ )
+ measurementStatistics.maximum = Math.max(
+ measurementValue,
+ measurementStatistics.maximum ?? -Infinity
+ )
+ if (measurementRequirements.average && numberOfMeasurements !== 0) {
+ measurementStatistics.average =
+ measurementStatistics.aggregate / numberOfMeasurements
+ }
+ if (measurementRequirements.median && measurementValue != null) {
+ measurementStatistics.history.push(measurementValue)
+ measurementStatistics.median = median(measurementStatistics.history)
+ }
+ }
+}
+
+/**
+ * Executes a function once at a time.
+ *
+ * @param fn - The function to execute.
+ * @param context - The context to bind the function to.
+ * @returns The function to execute.
+ */
+export const once = (
+ // eslint-disable-next-line @typescript-eslint/no-explicit-any
+ fn: (...args: any[]) => void,
+ context: unknown
+ // eslint-disable-next-line @typescript-eslint/no-explicit-any
+): ((...args: any[]) => void) => {
+ let called = false
+ // eslint-disable-next-line @typescript-eslint/no-explicit-any
+ return function (...args: any[]): void {
+ if (!called) {
+ called = true
+ fn.apply(context, args)
+ called = false
+ }
}
- return (sortedDataSet[middleIndex - 1] + sortedDataSet[middleIndex]) / 2
}
repositories / poolifier.git / blobdiff