genetic-search

import { describe, it } from "@jest/globals"; import { GroupedStatSummary, normalizePhenomeMatrix, normalizePhenomeRow, StatSummary } from "../../src"; // @ts-ignore import { expectNumberArrayToBeClose } from "../helpers"; import { zip } from "../../src/itertools"; import { calcStatSummary, roundGroupedStatSummary, roundStatSummary } from '../../src/utils'; import { SchedulerConditionException } from "../../src"; describe.each([ ...dataProviderForNormalizePhenomeRow(), ] as Array<[number[], number, number[]]>)( 'Function normalizePhenomeRow Test', (input, mean, expected) => { it('', async () => { const actual = normalizePhenomeRow(input, mean); expectNumberArrayToBeClose(actual, expected); }); }, ); function dataProviderForNormalizePhenomeRow(): Array<[number[], number, number[]]> { return [ [ [0, 0, 0, 0, 0], 0, [0, 0, 0, 0, 0], ], [ [0, 0, 0, 0, 0], 1, [-1, -1, -1, -1, -1], ], [ [0, 0, 0, 0, 0], -1, [1, 1, 1, 1, 1], ], [ [1, 0, 1, 0, 1], 1, [0, -1, 0, -1, 0], ], [ [1, 0, 1, 0, 1], 0.5, [1, -1, 1, -1, 1], ], [ [1, 0, 1, 0, 0.5], 0.5, [1, -1, 1, -1, 0], ], [ [1, 3], 2, [-1, 1], ] ]; } describe.each([ ...dataProviderForNormalizePhenomeMatrix(), ] as Array<[number[][], number[], number[][]]>)( 'Function normalizePhenomeMatrix Test', (input, mean, expected) => { it('', async () => { const actual = normalizePhenomeMatrix(input, mean, false); for (const [rowActual, rowExpected] of zip(actual, expected)) { expectNumberArrayToBeClose(rowActual, rowExpected); } }); }, ); function dataProviderForNormalizePhenomeMatrix(): Array<[number[][], number[], number[][]]> { return [ [ [], [], [], ], [ [ [0, 0, 0], [0, 0, 0], ], [0, 0, 0], [ [0, 0, 0], [0, 0, 0], ], ], [ [ [2, 2, 2], [2, 2, 2], ], [0, 0, 0], [ [1, 1, 1], [1, 1, 1], ], ], [ [ [-2, -2, -2], [-2, -2, -2], ], [0, 0, 0], [ [-1, -1, -1], [-1, -1, -1], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [2, 3, 4], [ [-1, -1, -1], [1, 1, 1], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [1, 2, 3], [ [0, 0, 0], [1, 1, 1], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [3, 4, 5], [ [-1, -1, -1], [0, 0, 0], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [-1, 0, 1], [ [0.5, 0.5, 0.5], [1, 1, 1], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [5, 6, 7], [ [-1, -1, -1], [-0.5, -0.5, -0.5], ], ], ]; } describe.each([ ...dataProviderForNormalizePhenomeMatrixWithAbs(), ] as Array<[number[][], number[], number[][]]>)( 'Function normalizePhenomeMatrix With Abs Test', (input, mean, expected) => { it('', async () => { const actual = normalizePhenomeMatrix(input, mean, true); for (const [rowActual, rowExpected] of zip(actual, expected)) { expectNumberArrayToBeClose(rowActual, rowExpected); } }); }, ); function dataProviderForNormalizePhenomeMatrixWithAbs(): Array<[number[][], number[], number[][]]> { return [ [ [], [], [], ], [ [ [0, 0, 0], [0, 0, 0], ], [0, 0, 0], [ [0, 0, 0], [0, 0, 0], ], ], [ [ [2, 2, 2], [2, 2, 2], ], [0, 0, 0], [ [1, 1, 1], [1, 1, 1], ], ], [ [ [-2, -2, -2], [-2, -2, -2], ], [0, 0, 0], [ [1, 1, 1], [1, 1, 1], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [2, 3, 4], [ [1, 1, 1], [1, 1, 1], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [1, 2, 3], [ [0, 0, 0], [1, 1, 1], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [3, 4, 5], [ [1, 1, 1], [0, 0, 0], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [-1, 0, 1], [ [0.5, 0.5, 0.5], [1, 1, 1], ], ], [ [ [1, 2, 3], [3, 4, 5], ], [5, 6, 7], [ [1, 1, 1], [0.5, 0.5, 0.5], ], ], ]; } describe.each([ ...dataProviderForCalcStatSummary(), ] as Array<[number[], StatSummary]>)( 'Function calcStatSummary Test', (sortedSource, expected) => { it('', async () => { const actual = roundStatSummary(calcStatSummary(sortedSource), 4); expect(actual).toEqual(expected); }); }, ); function dataProviderForCalcStatSummary(): Array<[number[], StatSummary]> { return [ [ [], { count: 0, best: 0, second: 0, mean: 0, median: 0, worst: 0, } ], [ [1, 2, 3, 4, 5], { count: 5, best: 1, second: 2, mean: 3, median: 3, worst: 5, } ], [ [1, 2, 3, 4], { count: 4, best: 1, second: 2, mean: 2.5, median: 2.5, worst: 4, } ], ]; } describe.each([ ...dataProviderForRoundGroupedStatSummary(), ] as Array<[GroupedStatSummary, GroupedStatSummary]>)( 'Function roundGroupedStatSummary Test', (input, expected) => { it('', async () => { const actual = roundGroupedStatSummary(input, 2); expect(actual).toEqual(expected); }); }, ); function dataProviderForRoundGroupedStatSummary(): Array<[GroupedStatSummary, GroupedStatSummary]> { return [ [ { initial: { count: 0, best: 0, second: 0, mean: 0, median: 0, worst: 0, }, crossover: { count: 0, best: 0, second: 0, mean: 0, median: 0, worst: 0, }, mutation: { count: 0, best: 0, second: 0, mean: 0, median: 0, worst: 0, }, }, { initial: { count: 0, best: 0, second: 0, mean: 0, median: 0, worst: 0, }, crossover: { count: 0, best: 0, second: 0, mean: 0, median: 0, worst: 0, }, mutation: { count: 0, best: 0, second: 0, mean: 0, median: 0, worst: 0, }, }, ], [ { initial: { count: 10, best: 6.6666, second: 5.5555, mean: 4.4444, median: 3.3333, worst: 2.2222, }, crossover: { count: 6, best: 5.5555, second: 4.4444, mean: 3.3333, median: 2.2222, worst: 1.1111, }, mutation: { count: 3, best: 7.7777, second: 6.6666, mean: 5.5555, median: 4.4444, worst: 3.3333, }, }, { initial: { count: 10, best: 6.67, second: 5.56, mean: 4.44, median: 3.33, worst: 2.22, }, crossover: { count: 6, best: 5.56, second: 4.44, mean: 3.33, median: 2.22, worst: 1.11, }, mutation: { count: 3, best: 7.78, second: 6.67, mean: 5.56, median: 4.44, worst: 3.33, }, }, ], ]; } it('SchedulerConditionException Test', () => { try { throw new SchedulerConditionException(); } catch (e) { expect(e).toBeInstanceOf(SchedulerConditionException); expect((e as Error).name).toBe('SchedulerConditionException'); } });