fbf6dee8ee
As it turns out, most of the code-paths in the `PDFImage`-class won't actually pass the TypedArray (containing the image-data) to the `ColorSpace`-code. Hence we *generally* don't need to force the image-data to be a `Uint8ClampedArray`, and can just as well directly use a `Uint8Array` instead. In the following cases we're returning the data without any `ColorSpace`-parsing, and the exact TypedArray used shouldn't matter: -b72a448327/src/core/image.js (L714)-b72a448327/src/core/image.js (L751)In the following cases the image-data is only used *internally*, and again the exact TypedArray used shouldn't matter: -b72a448327/src/core/image.js (L762)with the actual image-data being defined (as `Uint8ClampedArray`) further below -b72a448327/src/core/image.js (L837)*Please note:* This is tagged `api-minor` because it's API-observable, given that *some* image/mask-data will now be returned as `Uint8Array` rather than using `Uint8ClampedArray` unconditionally. However, that seems like a small price to pay to (slightly) reduce memory usage during image-conversion.
42 lines
1.4 KiB
JavaScript
42 lines
1.4 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 { Dict } from "../../src/core/primitives.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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});
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});
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