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| 1 | +let [wasm_file] = process.argv.slice(process.argv.indexOf("--") + 1); |
| 2 | + |
| 3 | +import { |
| 4 | + EARLibrary, |
| 5 | + GainCalculatorObjects, |
| 6 | + ObjectsTypeMetadata, |
| 7 | +} from "../src/libear.mjs"; |
| 8 | +import fs from "node:fs"; |
| 9 | +import { test } from "node:test"; |
| 10 | +import assert from "node:assert"; |
| 11 | + |
| 12 | +/// check that two arrays are the same size and the same within a small tolerance |
| 13 | +function assertArraysClose(a, b) { |
| 14 | + assert.strictEqual(a.length, b.length); |
| 15 | + |
| 16 | + for (let i = 0; i < a.length; i++) { |
| 17 | + assert.ok(Math.abs(a[i] - b[i]) < 1e-6); |
| 18 | + } |
| 19 | +} |
| 20 | + |
| 21 | +function assertClose(a, b) { |
| 22 | + assert.ok(Math.abs(a - b) < 1e-6); |
| 23 | +} |
| 24 | + |
| 25 | +test("load library then", async (t) => { |
| 26 | + const wasm_buf = fs.readFileSync(wasm_file); |
| 27 | + let lib = await EARLibrary.from_buffer(wasm_buf); |
| 28 | + |
| 29 | + await test("layout", (t) => { |
| 30 | + let layout = lib.get_layout("0+5+0"); |
| 31 | + assert.equal(layout.num_channels(), 6); |
| 32 | + }); |
| 33 | + |
| 34 | + await test("get_layout throw", (t) => { |
| 35 | + assert.throws(() => lib.get_layout("0+5+1"), { |
| 36 | + name: "RangeError", |
| 37 | + message: "unknown layout: 0+5+1", |
| 38 | + }); |
| 39 | + }); |
| 40 | + |
| 41 | + await test("decorrelator", (t) => { |
| 42 | + let layout = lib.get_layout("0+5+0"); |
| 43 | + |
| 44 | + assert.equal(lib.decorrelator_compensation_delay(), 255); |
| 45 | + |
| 46 | + let dec = lib.design_decorrelator(layout, 1); |
| 47 | + assert.equal(dec.length, 512); |
| 48 | + |
| 49 | + assertClose(dec[0], 0.06860811); |
| 50 | + assertClose(dec[256], 0.111747); |
| 51 | + assertClose(dec[511], -0.01473256); |
| 52 | + }); |
| 53 | + |
| 54 | + await test("calculate objects gains", (t) => { |
| 55 | + let layout = lib.get_layout("0+5+0"); |
| 56 | + let gain_calc = new GainCalculatorObjects(lib, layout); |
| 57 | + |
| 58 | + let otm = new ObjectsTypeMetadata(lib); |
| 59 | + otm.set_polar_position(15.0, 0.0, 1.0); |
| 60 | + otm.set_gain(0.5); |
| 61 | + otm.set_diffuse(0.25); |
| 62 | + |
| 63 | + let gains = gain_calc.calculate(otm); |
| 64 | + assertArraysClose( |
| 65 | + gains["direct"], |
| 66 | + [0.3061862178478973, 0, 0.3061862178478973, 0, 0, 0], |
| 67 | + ); |
| 68 | + assertArraysClose( |
| 69 | + gains["diffuse"], |
| 70 | + [0.1767766952966369, 0, 0.1767766952966369, 0, 0, 0], |
| 71 | + ); |
| 72 | + }); |
| 73 | +}); |
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