"use strict"; exports.__esModule = true; require("core-js/modules/es.error.cause.js"); require("core-js/modules/es.array.push.js"); var _object = require("./../helpers/object"); var _number = require("./../helpers/number"); var _mixed = require("./../helpers/mixed"); /** * @class SamplesGenerator */ class SamplesGenerator { /** * Number of samples to take of each value length. * * @type {number} */ static get SAMPLE_COUNT() { return 3; } constructor(dataFactory) { /** * Samples prepared for calculations. * * @type {Map} * @default {null} */ this.samples = null; /** * Function which give the data to collect samples. * * @type {Function} */ this.dataFactory = dataFactory; /** * Custom number of samples to take of each value length. * * @type {number} * @default {null} */ this.customSampleCount = null; /** * `true` if duplicate samples collection should be allowed, `false` otherwise. * * @type {boolean} * @default {false} */ this.allowDuplicates = false; } /** * Get the sample count for this instance. * * @returns {number} */ getSampleCount() { if (this.customSampleCount) { return this.customSampleCount; } return SamplesGenerator.SAMPLE_COUNT; } /** * Set the sample count. * * @param {number} sampleCount Number of samples to be collected. */ setSampleCount(sampleCount) { this.customSampleCount = sampleCount; } /** * Set if the generator should accept duplicate values. * * @param {boolean} allowDuplicates `true` to allow duplicate values. */ setAllowDuplicates(allowDuplicates) { this.allowDuplicates = allowDuplicates; } /** * Generate samples for row. You can control which area should be sampled by passing `rowRange` object and `colRange` object. * * @param {object|number} rowRange The rows range to generate the samples. * @param {object} colRange The column range to generate the samples. * @returns {object} */ generateRowSamples(rowRange, colRange) { return this.generateSamples('row', colRange, rowRange); } /** * Generate samples for column. You can control which area should be sampled by passing `colRange` object and `rowRange` object. * * @param {object} colRange Column index. * @param {object} rowRange Column index. * @returns {object} */ generateColumnSamples(colRange, rowRange) { return this.generateSamples('col', rowRange, colRange); } /** * Generate collection of samples. * * @param {string} type Type to generate. Can be `col` or `row`. * @param {object} range The range to generate the samples. * @param {object|number} specifierRange The range to generate the samples. * @returns {Map} */ generateSamples(type, range, specifierRange) { const samples = new Map(); const { from, to } = typeof specifierRange === 'number' ? { from: specifierRange, to: specifierRange } : specifierRange; (0, _number.rangeEach)(from, to, index => { const sample = this.generateSample(type, range, index); samples.set(index, sample); }); return samples; } /** * Generate sample for specified type (`row` or `col`). * * @param {string} type Samples type `row` or `col`. * @param {object} range The range to generate the samples. * @param {number} specifierValue The range to generate the samples. * @returns {Map} */ generateSample(type, range, specifierValue) { if (type !== 'row' && type !== 'col') { throw new Error('Unsupported sample type'); } const samples = new Map(); const computedKey = type === 'row' ? 'col' : 'row'; const sampledValues = []; (0, _number.rangeEach)(range.from, range.to, index => { const { value, bundleSeed } = type === 'row' ? this.dataFactory(specifierValue, index) : this.dataFactory(index, specifierValue); const hasCustomBundleSeed = typeof bundleSeed === 'string' && bundleSeed.length > 0; let seed; if (hasCustomBundleSeed) { seed = bundleSeed; } else if ((0, _object.isObject)(value)) { seed = `${Object.keys(value).length}`; } else if (Array.isArray(value)) { seed = `${value.length}`; } else { seed = `${(0, _mixed.stringify)(value).length}`; } if (!samples.has(seed)) { samples.set(seed, { needed: this.getSampleCount(), strings: [] }); } const sample = samples.get(seed); if (sample.needed) { const duplicate = sampledValues.indexOf(value) > -1; if (!duplicate || this.allowDuplicates || hasCustomBundleSeed) { sample.strings.push({ value, [computedKey]: index }); sampledValues.push(value); sample.needed -= 1; } } }); return samples; } } var _default = SamplesGenerator; exports.default = _default;