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https://github.com/mozilla/pdf.js.git
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600986b51d
Image files dropped on or selected via the thumbnail viewer's "add file" picker are now accepted alongside PDFs and inserted as synthetic pages sized to the document's modal page dimensions. The image-encoding helper previously embedded in StampAnnotation has moved to src/core/editor/pdf_images.js so it can be shared between stamp annotations and page synthesis.
79 lines
2.9 KiB
JavaScript
79 lines
2.9 KiB
JavaScript
/* Copyright 2017 Mozilla Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import { createImage } from "../../src/core/editor/pdf_images.js";
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import { Dict } from "../../src/core/primitives.js";
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import { FlateStream } from "../../src/core/flate_stream.js";
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import { isNodeJS } from "../../src/shared/util.js";
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import { PredictorStream } from "../../src/core/predictor_stream.js";
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import { Stream } from "../../src/core/stream.js";
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describe("stream", function () {
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describe("PredictorStream", function () {
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it("should decode simple predictor data", function () {
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const dict = new Dict();
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dict.set("Predictor", 12);
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dict.set("Colors", 1);
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dict.set("BitsPerComponent", 8);
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dict.set("Columns", 2);
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const input = new Stream(
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new Uint8Array([2, 100, 3, 2, 1, 255, 2, 1, 255]),
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0,
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9,
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dict
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);
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const predictor = new PredictorStream(input, /* length = */ 9, dict);
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const result = predictor.getBytes(6);
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expect(result).toEqual(new Uint8Array([100, 3, 101, 2, 102, 1]));
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});
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it("should decode the FlateDecode stream produced by createImage", async function () {
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if (isNodeJS) {
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pending("OffscreenCanvas is not supported in Node.js.");
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}
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const width = 2;
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const height = 2;
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const canvas = new OffscreenCanvas(width, height);
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const ctx = canvas.getContext("2d");
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const source = new Uint8ClampedArray([
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255, 0, 0, 255, 0, 255, 0, 255, 0, 0, 255, 255, 255, 255, 0, 255,
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]);
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ctx.putImageData(new ImageData(source, width, height), 0, 0);
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const bitmap = canvas.transferToImageBitmap();
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const { imageStream } = await createImage(bitmap, /* xref = */ null, {
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closeBitmap: true,
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});
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expect(imageStream.dict.get("Filter").name).toEqual("FlateDecode");
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const flate = new FlateStream(imageStream, imageStream.length);
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const predictor = new PredictorStream(
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flate,
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imageStream.length,
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imageStream.dict.get("DecodeParms")
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);
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const decoded = predictor.getBytes(width * height * 3);
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const expected = new Uint8Array(width * height * 3);
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for (let i = 0, j = 0; i < source.length; i += 4, j += 3) {
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expected[j] = source[i];
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expected[j + 1] = source[i + 1];
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expected[j + 2] = source[i + 2];
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}
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expect(decoded).toEqual(expected);
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});
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});
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});
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