@syntest/prng
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The pseudo random number generator library of the SynTest Framework
47 lines • 1.74 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
/*
* Copyright 2020-2023 Delft University of Technology and SynTest contributors
*
* This file is part of SynTest Framework - SynTest Core.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
const chai = require("chai");
const prng_1 = require("../lib/prng");
const expect = chai.expect;
describe("PRNG", () => {
it("Gaussian random variables follow a gaussian distribution", () => {
(0, prng_1.initializePseudoRandomNumberGenerator)("0");
const samples = 100000;
const mu = 5;
const sigma = 2;
const values = [];
let mean = 0;
let std = 0;
for (let index = 0; index < samples; index++) {
const value = prng_1.prng.nextGaussian(mu, sigma);
mean += value;
values.push(value);
}
mean /= samples;
for (let index = 0; index < samples; index++) {
const value = values[index];
std += Math.pow(value - mean, 2);
}
std = Math.sqrt(std / samples);
expect(mean).to.be.closeTo(mu, 0.05);
expect(std).to.be.closeTo(sigma, 0.05);
});
});
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