Jos de Jong 6f00715754
Specify import require paths (continuation of #1941) (#1962)
* 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>
2020-09-20 18:01:29 +02:00

94 lines
3.8 KiB
JavaScript

import assert from 'assert'
import math from '../../../../src/defaultInstance.js'
const dot = math.dot
const matrix = math.matrix
const sparse = math.sparse
const complex = math.complex
describe('dot', function () {
it('should calculate dot product for two 1-dim arrays', function () {
assert.strictEqual(dot([2, 4, 1], [2, 2, 3]), 15)
assert.strictEqual(dot([7, 3], [2, 4]), 26)
})
it('should calculate dot product for two column arrays', function () {
assert.strictEqual(dot([[2], [4], [1]], [[2], [2], [3]]), 15)
assert.strictEqual(dot([[7], [3]], [[2], [4]]), 26)
})
it('should calculate dot product for two 1-dim vectors', function () {
assert.strictEqual(dot(matrix([2, 4, 1]), matrix([2, 2, 3])), 15)
assert.strictEqual(dot(matrix([7, 3]), matrix([2, 4])), 26)
})
it('should calculate dot product for two column vectors', function () {
assert.strictEqual(dot(matrix([[2], [4], [1]]), matrix([[2], [2], [3]])), 15)
assert.strictEqual(dot(matrix([[7], [3]]), matrix([[2], [4]])), 26)
})
it('should calculate dot product for mixed 1-dim arrays and column arrays', function () {
assert.strictEqual(dot([2, 4, 1], [[2], [2], [3]]), 15)
assert.strictEqual(dot([[7], [3]], [2, 4]), 26)
})
it('should calculate dot product for mixed 1-dim arrays and 1-dim vectors', function () {
assert.strictEqual(dot([2, 4, 1], matrix([2, 2, 3])), 15)
assert.strictEqual(dot(matrix([7, 3]), [2, 4]), 26)
})
it('should calculate dot product for mixed 1-dim arrays and column vectors', function () {
assert.strictEqual(dot([2, 4, 1], matrix([[2], [2], [3]])), 15)
assert.strictEqual(dot(matrix([[7], [3]]), [2, 4]), 26)
})
it('should calculate dot product for mixed column arrays and 1-dim vectors', function () {
assert.strictEqual(dot([[2], [4], [1]], matrix([2, 2, 3])), 15)
assert.strictEqual(dot(matrix([7, 3]), [[2], [4]]), 26)
})
it('should calculate dot product for mixed column arrays and column vectors', function () {
assert.strictEqual(dot([[2], [4], [1]], matrix([[2], [2], [3]])), 15)
assert.strictEqual(dot(matrix([[7], [3]]), [[2], [4]]), 26)
})
it('should calculate dot product for mixed 1-dim vectors and column vectors', function () {
assert.strictEqual(dot(matrix([2, 4, 1]), matrix([[2], [2], [3]])), 15)
assert.strictEqual(dot(matrix([[7], [3]]), matrix([2, 4])), 26)
})
it('should calculate dot product for sparse vectors', function () {
assert.strictEqual(dot(sparse([0, 0, 2, 4, 4, 1]), sparse([1, 0, 2, 2, 0, 3])), 15)
assert.strictEqual(dot(sparse([7, 1, 2, 3]), sparse([2, 0, 0, 4])), 26)
})
it('should throw an error for unsupported types of arguments', function () {
assert.throws(function () { dot([2, 4, 1], 2) }, TypeError)
})
it('should throw an error for multi dimensional matrix input', function () {
assert.throws(function () { dot([[1, 2], [3, 4]], [[1, 2], [3, 4]]) }, /Expected a column vector, instead got a matrix of size \(2, 2\)/)
})
it('should throw an error in case of vectors with unequal length', function () {
assert.throws(function () { dot([2, 3], [1, 2, 3]) }, /Vectors must have equal length \(2 != 3\)/)
})
it('should throw an error in case of empty vectors', function () {
assert.throws(function () { dot([], []) }, /Cannot calculate the dot product of empty vectors/)
})
it('should LaTeX dot', function () {
const expression = math.parse('dot([1,2],[3,4])')
assert.strictEqual(expression.toTex(), '\\left(\\begin{bmatrix}1\\\\2\\\\\\end{bmatrix}\\cdot\\begin{bmatrix}3\\\\4\\\\\\end{bmatrix}\\right)')
})
it('should be antilinear in the first argument', function () {
const I = complex(0, 1)
assert.deepStrictEqual(dot([I, 2], [1, I]), I)
const v = matrix([2, I, 1])
assert.deepStrictEqual(dot(v, v).sqrt(), complex(math.norm(v)))
})
})