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* Add `.js` extension to source file imports * Specify package `exports` in `package.json` Specify package type as `commonjs` (It's good to be specific) * Move all compiled scripts into `lib` directory Remove ./number.js (You can use the compiled ones in `./lib/*`) Tell node that the `esm` directory is type `module` and enable tree shaking. Remove unused files from packages `files` property * Allow importing of package.json * Make library ESM first * - Fix merge conflicts - Refactor `bundleAny` into `defaultInstance.js` and `browserBundle.cjs` - Refactor unit tests to be able to run with plain nodejs (no transpiling) - Fix browser examples * Fix browser and browserstack tests * Fix running unit tests on Node 10 (which has no support for modules) * Fix node.js examples (those are still commonjs) * Remove the need for `browserBundle.cjs` * Generate minified bundle only * [Security] Bump node-fetch from 2.6.0 to 2.6.1 (#1963) Bumps [node-fetch](https://github.com/bitinn/node-fetch) from 2.6.0 to 2.6.1. **This update includes a security fix.** - [Release notes](https://github.com/bitinn/node-fetch/releases) - [Changelog](https://github.com/node-fetch/node-fetch/blob/master/docs/CHANGELOG.md) - [Commits](https://github.com/bitinn/node-fetch/compare/v2.6.0...v2.6.1) Signed-off-by: dependabot-preview[bot] <support@dependabot.com> Co-authored-by: dependabot-preview[bot] <27856297+dependabot-preview[bot]@users.noreply.github.com> * Cleanup console.log * Add integration tests to test the entry points (commonjs/esm, full/number only) * Create backward compatibility error messages in the files moved/removed since v8 * Describe breaking changes in HISTORY.md * Bump karma from 5.2.1 to 5.2.2 (#1965) Bumps [karma](https://github.com/karma-runner/karma) from 5.2.1 to 5.2.2. - [Release notes](https://github.com/karma-runner/karma/releases) - [Changelog](https://github.com/karma-runner/karma/blob/master/CHANGELOG.md) - [Commits](https://github.com/karma-runner/karma/compare/v5.2.1...v5.2.2) Signed-off-by: dependabot-preview[bot] <support@dependabot.com> Co-authored-by: dependabot-preview[bot] <27856297+dependabot-preview[bot]@users.noreply.github.com> Co-authored-by: Lee Langley-Rees <lee@greenimp.co.uk> Co-authored-by: dependabot-preview[bot] <27856297+dependabot-preview[bot]@users.noreply.github.com>
163 lines
4.6 KiB
JavaScript
163 lines
4.6 KiB
JavaScript
import assert from 'assert'
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import math from '../../../../src/defaultInstance.js'
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const math2 = math.create({ randomSeed: 'test' })
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const random = math2.random
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const Matrix = math2.Matrix
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describe('random', function () {
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it('should have a function random', function () {
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assert.strictEqual(typeof math.random, 'function')
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})
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it('should pick uniformly distributed numbers in [0, 1]', function () {
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const picked = []
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times(1000, function () {
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picked.push(random())
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})
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assertUniformDistribution(picked, 0, 1)
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})
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it('should pick uniformly distributed numbers in [min, max]', function () {
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const picked = []
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times(1000, function () {
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picked.push(random(-10, 10))
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})
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assertUniformDistribution(picked, -10, 10)
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})
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it('should pick uniformly distributed random array, with elements in [0, 1]', function () {
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const picked = []
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const matrices = []
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const size = [2, 3, 4]
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times(100, function () {
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matrices.push(random(size))
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})
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// Collect all values in one array
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matrices.forEach(function (matrix) {
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assert(Array.isArray(matrix))
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assert.deepStrictEqual(math.size(matrix), size)
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math.forEach(matrix, function (val) {
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picked.push(val)
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})
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})
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assert.strictEqual(picked.length, 2 * 3 * 4 * 100)
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assertUniformDistribution(picked, 0, 1)
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})
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it('should pick uniformly distributed random array, with elements in [0, max]', function () {
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const picked = []
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const matrices = []
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const size = [2, 3, 4]
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times(100, function () {
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matrices.push(random(size, 8))
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})
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// Collect all values in one array
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matrices.forEach(function (matrix) {
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assert(Array.isArray(matrix))
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assert.deepStrictEqual(math.size(matrix), size)
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math.forEach(matrix, function (val) {
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picked.push(val)
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})
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})
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assert.strictEqual(picked.length, 2 * 3 * 4 * 100)
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assertUniformDistribution(picked, 0, 8)
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})
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it('should pick uniformly distributed random matrix, with elements in [0, 1]', function () {
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const picked = []
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const matrices = []
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const size = math2.matrix([2, 3, 4])
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times(100, function () {
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matrices.push(random(size))
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})
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// Collect all values in one array
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matrices.forEach(function (matrix) {
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assert(matrix instanceof Matrix)
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assert.deepStrictEqual(matrix.size(), size.valueOf())
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matrix.forEach(function (val) {
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picked.push(val)
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})
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})
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assert.strictEqual(picked.length, 2 * 3 * 4 * 100)
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assertUniformDistribution(picked, 0, 1)
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})
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it('should pick uniformly distributed random array, with elements in [min, max]', function () {
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const picked = []
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const matrices = []
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const size = [2, 3, 4]
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times(100, function () {
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matrices.push(random(size, -103, 8))
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})
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// Collect all values in one array
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matrices.forEach(function (matrix) {
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assert.deepStrictEqual(math.size(matrix), size)
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math.forEach(matrix, function (val) {
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picked.push(val)
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})
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})
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assert.strictEqual(picked.length, 2 * 3 * 4 * 100)
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assertUniformDistribution(picked, -103, 8)
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})
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it('should throw an error if called with invalid arguments', function () {
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assert.throws(function () { random(1, 2, [4, 8]) })
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assert.throws(function () { random(1, 2, 3, 6) })
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assert.throws(function () { random('str', 10) })
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assert.throws(function () { random(math2.bignumber(-10), 10) })
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})
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it('should throw an error in case of wrong number of arguments', function () {
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assert.throws(function () { random([2, 3], 10, 100, 12) }, /Too many arguments/)
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})
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it('should LaTeX random', function () {
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const expression = math.parse('random(0,1)')
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assert.strictEqual(expression.toTex(), '\\mathrm{random}\\left(0,1\\right)')
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})
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})
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function assertUniformDistribution (values, min, max) {
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const interval = (max - min) / 10
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let count
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let i
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count = values.filter(function (val) { return val < min }).length
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assert.strictEqual(count, 0)
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count = values.filter(function (val) { return val > max }).length
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assert.strictEqual(count, 0)
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for (i = 0; i < 10; i++) {
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count = values.filter(function (val) {
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return val >= (min + i * interval) && val < (min + (i + 1) * interval)
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}).length
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assertApproxEqual(count / values.length, 0.1, 0.02)
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}
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}
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const assertApproxEqual = function (testVal, val, tolerance) {
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const diff = Math.abs(val - testVal)
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if (diff > tolerance) assert.strictEqual(testVal, val)
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else assert.ok(diff <= tolerance)
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}
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function times (n, callback) {
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for (let i = 0; i < n; i++) {
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callback()
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}
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}
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