const { assert, skip, test, module: describe, only } = require('qunit'); const { GPU } = require('../../../../../../../src'); describe('feature: to-string single precision object style returns Array3d'); function testReturn(mode, context, canvas) { const gpu = new GPU({ mode }); function addOne(value) { return value + 1; } const originalKernel = gpu.createKernelMap({ addOneResult: addOne }, function(a) { const result = a[this.thread.x] + 1; addOne(result); return result; }, { canvas, context, output: [2, 2, 2], precision: 'single', }); const a = [1, 2]; const expected = [ [ new Float32Array([2, 3]), new Float32Array([2, 3]), ], [ new Float32Array([2, 3]), new Float32Array([2, 3]), ] ] const expectedZero = [ [ new Float32Array([3, 4]), new Float32Array([3, 4]), ], [ new Float32Array([3, 4]), new Float32Array([3, 4]), ] ]; const originalResult = originalKernel(a); assert.deepEqual(originalResult.result, expected); assert.deepEqual(originalResult.addOneResult, expectedZero); const kernelString = originalKernel.toString(a); const newResult = new Function('return ' + kernelString)()({ context })(a); assert.deepEqual(newResult.result, expected); assert.deepEqual(newResult.addOneResult, expectedZero); gpu.destroy(); } (GPU.isSinglePrecisionSupported && GPU.isWebGLSupported ? test : skip)('webgl', () => { const canvas = document.createElement('canvas'); const context = canvas.getContext('webgl'); testReturn('webgl', context, canvas); }); (GPU.isSinglePrecisionSupported && GPU.isWebGL2Supported ? test : skip)('webgl2', () => { const canvas = document.createElement('canvas'); const context = canvas.getContext('webgl2'); testReturn('webgl2', context, canvas); }); (GPU.isSinglePrecisionSupported && GPU.isHeadlessGLSupported ? test : skip)('headlessgl', () => { testReturn('headlessgl', require('gl')(1, 1), null); }); test('cpu', () => { testReturn('cpu'); });