/* * Copyright (c) 2009, Oracle and/or its affiliates. All rights reserved. * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. * * This code is free software; you can redistribute it and/or modify it * under the terms of the GNU General Public License version 2 only, as * published by the Free Software Foundation. * * This code is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License * version 2 for more details (a copy is included in the LICENSE file that * accompanied this code). * * You should have received a copy of the GNU General Public License version * 2 along with this work; if not, write to the Free Software Foundation, * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. * * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA * or visit www.oracle.com if you need additional information or have any * questions. */ /* * @test * @bug 6782574 * @summary Test verifies that incorrect sample masks are correctly handled * by the constructor of the SinglePixelPackedSampleModel class * and do not cause internal error in the medialib glue code. * * @run main IncorrectSampleMaskTest */ import java.awt.geom.AffineTransform; import java.awt.image.AffineTransformOp; import java.awt.image.BufferedImageOp; import java.awt.image.DataBuffer; import java.awt.image.DataBufferByte; import java.awt.image.DataBufferInt; import java.awt.image.DataBufferUShort; import java.awt.image.Raster; import java.awt.image.RasterOp; import java.awt.image.WritableRaster; import java.awt.image.SinglePixelPackedSampleModel; public class IncorrectSampleMaskTest { public static void main(String[] args) { int[] dataTypes = new int[] { DataBuffer.TYPE_BYTE, DataBuffer.TYPE_USHORT, DataBuffer.TYPE_INT }; for (int type : dataTypes) { doTest(type); } } private static final int w = 100; private static final int h = 100; private static AffineTransform at = AffineTransform.getScaleInstance(0.5, 0.5); private static RasterOp op = new AffineTransformOp(at, AffineTransformOp.TYPE_NEAREST_NEIGHBOR); private static void doTest(int dataType) { int maxSize = DataBuffer.getDataTypeSize(dataType); System.out.println("Type size: " + maxSize); int theMask = (int)(1L << (maxSize + 2)) - 1; System.out.printf("theMask=%x\n", theMask); SinglePixelPackedSampleModel sm = new SinglePixelPackedSampleModel(dataType, w, h, new int[] { theMask }); int[] sampleSize = sm.getSampleSize(); for (int s : sampleSize) { if (s > maxSize) { throw new RuntimeException("Test failed: sample size is too big:" + s); } } System.out.println("Test medialib..."); DataBuffer buf = createDataBuffer(dataType); WritableRaster wr = Raster.createWritableRaster(sm, buf, null); op.filter(wr, null); System.out.println("Test PASSED."); } private static DataBuffer createDataBuffer(int type) { switch (type) { case DataBuffer.TYPE_BYTE: { byte[] buf = new byte[w * h]; return new DataBufferByte(buf, buf.length); } case DataBuffer.TYPE_USHORT: { short[] buf = new short[w * h]; return new DataBufferUShort(buf, buf.length); } case DataBuffer.TYPE_INT: { int[] buf = new int[w * h]; return new DataBufferInt(buf, buf.length); } default : throw new RuntimeException("Unsupported data type."); } } }