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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
/* eslint-disable no-undef */
const tvmjs = require("../../dist");
test("Test coverage of [0,100] inclusive", () => {
const covered = Array(100);
const rng = new tvmjs.LinearCongruentialGenerator();
for (let i = 0; i < 100000; i++) {
covered[rng.nextInt() % 100] = true;
}
const notCovered = [];
for (let i = 0; i < 100; i++) {
if (!covered[i]) {
notCovered.push(i);
}
}
expect(notCovered).toEqual([]);
});
test("Test whether the same seed make two RNGs generate same results", () => {
const rng1 = new tvmjs.LinearCongruentialGenerator();
const rng2 = new tvmjs.LinearCongruentialGenerator();
rng1.setSeed(42);
rng2.setSeed(42);
for (let i = 0; i < 100; i++) {
expect(rng1.randomFloat()).toBeCloseTo(rng2.randomFloat());
}
});
test("Test two RNGs with different seeds generate different results", () => {
const rng1 = new tvmjs.LinearCongruentialGenerator();
const rng2 = new tvmjs.LinearCongruentialGenerator();
rng1.setSeed(41);
rng2.setSeed(42);
let numSame = 0;
const numTest = 100;
// Generate `numTest` random numbers, make sure not all are the same.
for (let i = 0; i < numTest; i++) {
if (rng1.nextInt() === rng2.nextInt()) {
numSame += 1;
}
}
expect(numSame < numTest).toBe(true);
});
test('Illegal argument to `setSeed()`', () => {
expect(() => {
const rng1 = new tvmjs.LinearCongruentialGenerator();
rng1.setSeed(42.5);
}).toThrow("Seed should be an integer.");
});