import { expect } from 'expect'
-import {
- CircularArray,
- DEFAULT_CIRCULAR_ARRAY_SIZE
-} from '../../lib/circular-array.cjs'
+import { CircularBuffer } from '../../lib/circular-buffer.cjs'
import { WorkerTypes } from '../../lib/index.cjs'
import {
createWorker,
getDefaultTasksQueueOptions,
getWorkerId,
getWorkerType,
- updateMeasurementStatistics
+ updateMeasurementStatistics,
} from '../../lib/pools/utils.cjs'
+import { MeasurementHistorySize } from '../../lib/pools/worker.cjs'
describe('Pool utils test suite', () => {
it('Verify DEFAULT_MEASUREMENT_STATISTICS_REQUIREMENTS values', () => {
expect(DEFAULT_MEASUREMENT_STATISTICS_REQUIREMENTS).toStrictEqual({
aggregate: false,
average: false,
- median: false
+ median: false,
})
})
concurrency: 1,
size: Math.pow(poolMaxSize, 2),
taskStealing: true,
- tasksStealingOnBackPressure: true,
- tasksFinishedTimeout: 2000
+ tasksStealingOnBackPressure: false,
+ tasksFinishedTimeout: 2000,
})
})
it('Verify updateMeasurementStatistics() behavior', () => {
const measurementStatistics = {
- history: new CircularArray()
+ history: new CircularBuffer(MeasurementHistorySize),
}
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: false, median: false },
0.01
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.01,
maximum: 0.01,
minimum: 0.01,
- history: new CircularArray()
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: false, median: false },
0.02
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.03,
maximum: 0.02,
minimum: 0.01,
- history: new CircularArray()
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: true, median: false },
0.001
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.031,
maximum: 0.02,
minimum: 0.001,
- average: 0.001,
- history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001)
+ average: 0.0010000000474974513,
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: true, median: false },
0.003
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.034,
maximum: 0.02,
minimum: 0.001,
- average: 0.002,
- history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001, 0.003)
+ average: 0.0020000000367872417,
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: false, median: true },
0.006
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.04,
maximum: 0.02,
minimum: 0.001,
- median: 0.003,
- history: new CircularArray(
- DEFAULT_CIRCULAR_ARRAY_SIZE,
- 0.001,
- 0.003,
- 0.006
- )
+ median: 0.003000000026077032,
})
updateMeasurementStatistics(
measurementStatistics,
{ aggregate: true, average: true, median: false },
0.01
)
- expect(measurementStatistics).toStrictEqual({
+ expect(measurementStatistics).toMatchObject({
aggregate: 0.05,
maximum: 0.02,
minimum: 0.001,
- average: 0.005,
- history: new CircularArray(
- DEFAULT_CIRCULAR_ARRAY_SIZE,
- 0.001,
- 0.003,
- 0.006,
- 0.01
- )
+ average: 0.004999999975552782,
})
})