X-Git-Url: https://git.piment-noir.org/?a=blobdiff_plain;f=src%2Futils.ts;h=45e4fd2393d0533a5256754eec9075666a7f7ea1;hb=23a6c28d3cc6edb778653a4d9d9a4d36f9a961c3;hp=f3952ab1746f559e780774b61520e099d7cdc310;hpb=49d1b48ce81c9f195830a1a886657de6f2de4ca4;p=poolifier.git diff --git a/src/utils.ts b/src/utils.ts index f3952ab1..45e4fd23 100644 --- a/src/utils.ts +++ b/src/utils.ts @@ -1,9 +1,15 @@ -import os from 'node:os' +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. @@ -43,9 +49,9 @@ export const availableParallelism = (): number => { try { availableParallelism = os.availableParallelism() } catch { - const cpus = os.cpus() - if (Array.isArray(cpus) && cpus.length > 0) { - availableParallelism = cpus.length + const numberOfCpus = os.cpus() + if (Array.isArray(numberOfCpus) && numberOfCpus.length > 0) { + availableParallelism = numberOfCpus.length } } return availableParallelism @@ -123,3 +129,39 @@ export const isAsyncFunction = ( ): fn is (...args: unknown[]) => Promise => { 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. + */ +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) + } + } +}