@angular/benchpress
Version:
Benchpress - a framework for e2e performance tests
62 lines • 8.35 kB
JavaScript
/**
* @license
* Copyright Google LLC All Rights Reserved.
*
* Use of this source code is governed by an MIT-style license that can be
* found in the LICENSE file at https://angular.io/license
*/
var RegressionSlopeValidator_1;
import { __decorate, __metadata, __param } from "tslib";
import { Inject, Injectable, InjectionToken } from '@angular/core';
import { Statistic } from '../statistic';
import { Validator } from '../validator';
/**
* A validator that checks the regression slope of a specific metric.
* Waits for the regression slope to be >=0.
*/
let RegressionSlopeValidator = RegressionSlopeValidator_1 = class RegressionSlopeValidator extends Validator {
constructor(_sampleSize, _metric) {
super();
this._sampleSize = _sampleSize;
this._metric = _metric;
}
describe() {
return { 'sampleSize': this._sampleSize, 'regressionSlopeMetric': this._metric };
}
validate(completeSample) {
if (completeSample.length >= this._sampleSize) {
const latestSample = completeSample.slice(completeSample.length - this._sampleSize, completeSample.length);
const xValues = [];
const yValues = [];
for (let i = 0; i < latestSample.length; i++) {
// For now, we only use the array index as x value.
// TODO(tbosch): think about whether we should use time here instead
xValues.push(i);
yValues.push(latestSample[i].values[this._metric]);
}
const regressionSlope = Statistic.calculateRegressionSlope(xValues, Statistic.calculateMean(xValues), yValues, Statistic.calculateMean(yValues));
return regressionSlope >= 0 ? latestSample : null;
}
else {
return null;
}
}
};
RegressionSlopeValidator.SAMPLE_SIZE = new InjectionToken('RegressionSlopeValidator.sampleSize');
RegressionSlopeValidator.METRIC = new InjectionToken('RegressionSlopeValidator.metric');
RegressionSlopeValidator.PROVIDERS = [
{
provide: RegressionSlopeValidator_1,
deps: [RegressionSlopeValidator_1.SAMPLE_SIZE, RegressionSlopeValidator_1.METRIC]
},
{ provide: RegressionSlopeValidator_1.SAMPLE_SIZE, useValue: 10 },
{ provide: RegressionSlopeValidator_1.METRIC, useValue: 'scriptTime' }
];
RegressionSlopeValidator = RegressionSlopeValidator_1 = __decorate([
Injectable(),
__param(0, Inject(RegressionSlopeValidator_1.SAMPLE_SIZE)),
__param(1, Inject(RegressionSlopeValidator_1.METRIC)),
__metadata("design:paramtypes", [Number, String])
], RegressionSlopeValidator);
export { RegressionSlopeValidator };
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