2019-02-22 15:04:06 +00:00
|
|
|
// The size of the golden images (DMs)
|
|
|
|
const CANVAS_WIDTH = 600;
|
|
|
|
const CANVAS_HEIGHT = 600;
|
|
|
|
|
|
|
|
function reportSurface(surface, testname, done) {
|
|
|
|
// In docker, the webgl canvas is blank, but the surface has the pixel
|
|
|
|
// data. So, we copy it out and draw it to a normal canvas to take a picture.
|
|
|
|
// To be consistent across CPU and GPU, we just do it for all configurations
|
|
|
|
// (even though the CPU canvas shows up after flush just fine).
|
|
|
|
let pixels = surface.getCanvas().readPixels(0, 0, CANVAS_WIDTH, CANVAS_HEIGHT);
|
|
|
|
pixels = new Uint8ClampedArray(pixels.buffer);
|
|
|
|
const imageData = new ImageData(pixels, CANVAS_WIDTH, CANVAS_HEIGHT);
|
|
|
|
|
|
|
|
let reportingCanvas = document.getElementById('report');
|
|
|
|
reportingCanvas.getContext('2d').putImageData(imageData, 0, 0);
|
|
|
|
reportCanvas(reportingCanvas, testname).then(() => {
|
|
|
|
done();
|
|
|
|
}).catch(reportError(done));
|
2019-08-26 19:48:09 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
function starPath(CanvasKit, X=128, Y=128, R=116) {
|
|
|
|
let p = new CanvasKit.SkPath();
|
|
|
|
p.moveTo(X + R, Y);
|
|
|
|
for (let i = 1; i < 8; i++) {
|
|
|
|
let a = 2.6927937 * i;
|
|
|
|
p.lineTo(X + R * Math.cos(a), Y + R * Math.sin(a));
|
|
|
|
}
|
|
|
|
return p;
|
2019-10-29 13:55:39 +00:00
|
|
|
}
|