diff options
Diffstat (limited to 'src/test/com/jogamp/opengl')
| -rw-r--r-- | src/test/com/jogamp/opengl/test/junit/jogl/math/TestFloatUtil03InversionNOUI.java | 262 |
1 files changed, 262 insertions, 0 deletions
diff --git a/src/test/com/jogamp/opengl/test/junit/jogl/math/TestFloatUtil03InversionNOUI.java b/src/test/com/jogamp/opengl/test/junit/jogl/math/TestFloatUtil03InversionNOUI.java new file mode 100644 index 000000000..e9558b251 --- /dev/null +++ b/src/test/com/jogamp/opengl/test/junit/jogl/math/TestFloatUtil03InversionNOUI.java @@ -0,0 +1,262 @@ +/**
+ * Copyright 2014 JogAmp Community. All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without modification, are
+ * permitted provided that the following conditions are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright notice, this list of
+ * conditions and the following disclaimer.
+ *
+ * 2. Redistributions in binary form must reproduce the above copyright notice, this list
+ * of conditions and the following disclaimer in the documentation and/or other materials
+ * provided with the distribution.
+ *
+ * THIS SOFTWARE IS PROVIDED BY JogAmp Community ``AS IS'' AND ANY EXPRESS OR IMPLIED
+ * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
+ * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL JogAmp Community OR
+ * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ * NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
+ * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *
+ * The views and conclusions contained in the software and documentation are those of the
+ * authors and should not be interpreted as representing official policies, either expressed
+ * or implied, of JogAmp Community.
+ */
+
+package com.jogamp.opengl.test.junit.jogl.math;
+
+import org.junit.Assert;
+import org.junit.Test; +import org.junit.FixMethodOrder; +import org.junit.runners.MethodSorters;
+
+import com.jogamp.common.os.Platform;
+import com.jogamp.opengl.math.FloatUtil;
+
+@FixMethodOrder(MethodSorters.NAME_ASCENDING) +public class TestFloatUtil03InversionNOUI {
+
+ @Test
+ public void test01Ident(){
+ final float[] res1 = new float[16];
+ final float[] res2 = new float[16];
+ final float[] temp = new float[16];
+
+ final float[] identity = new float[] { 1, 0, 0, 0,
+ 0, 1, 0, 0,
+ 0, 0, 1, 0,
+ 0, 0, 0, 1 };
+
+ FloatUtil.invertMatrix(identity, 0, res1, 0);
+ System.err.println(FloatUtil.matrixToString(null, "inv-1: ", "%10.7f", res1, 0, 4, 4, false /* rowMajorOrder */));
+ invertMatrix(identity, 0, res2, 0, temp);
+ System.err.println(FloatUtil.matrixToString(null, "inv-2: ", "%10.7f", res2, 0, 4, 4, false /* rowMajorOrder */));
+
+ Assert.assertArrayEquals("I1/I2 failure", res1, res2, FloatUtil.INV_DEVIANCE);
+ Assert.assertArrayEquals("I2 failure", identity, res2, FloatUtil.INV_DEVIANCE);
+ Assert.assertArrayEquals("I1 failure", identity, res1, FloatUtil.INV_DEVIANCE);
+ }
+
+ private void testImpl(final float[] matrix) {
+ final float[] inv1_0 = new float[16];
+ final float[] inv1_1 = new float[16];
+ final float[] inv1_2 = new float[16];
+ final float[] inv2_0 = new float[16];
+ final float[] inv2_1 = new float[16];
+ final float[] inv2_2 = new float[16];
+ final float[] temp = new float[16];
+
+ System.err.println(FloatUtil.matrixToString(null, "orig : ", "%10.7f", matrix, 0, 4, 4, false /* rowMajorOrder */));
+ invertMatrix(matrix, 0, inv1_0, 0, temp);
+ invertMatrix(inv1_0, 0, inv2_0, 0, temp);
+ System.err.println(FloatUtil.matrixToString(null, "inv1_0: ", "%10.7f", inv1_0, 0, 4, 4, false /* rowMajorOrder */));
+ System.err.println(FloatUtil.matrixToString(null, "inv2_0: ", "%10.7f", inv2_0, 0, 4, 4, false /* rowMajorOrder */));
+ FloatUtil.invertMatrix(matrix, 0, inv1_1, 0);
+ FloatUtil.invertMatrix(inv1_1, 0, inv2_1, 0);
+ System.err.println(FloatUtil.matrixToString(null, "inv1_1: ", "%10.7f", inv1_1, 0, 4, 4, false /* rowMajorOrder */));
+ System.err.println(FloatUtil.matrixToString(null, "inv2_1: ", "%10.7f", inv2_1, 0, 4, 4, false /* rowMajorOrder */));
+ FloatUtil.invertMatrix(matrix, inv1_2);
+ FloatUtil.invertMatrix(inv1_2, inv2_2);
+ System.err.println(FloatUtil.matrixToString(null, "inv1_2: ", "%10.7f", inv1_2, 0, 4, 4, false /* rowMajorOrder */));
+ System.err.println(FloatUtil.matrixToString(null, "inv2_2: ", "%10.7f", inv2_2, 0, 4, 4, false /* rowMajorOrder */));
+
+ Assert.assertArrayEquals("I1_1/I1_2 failure", inv1_1, inv1_2, FloatUtil.INV_DEVIANCE);
+ Assert.assertArrayEquals("I2_1/I2_2 failure", inv2_1, inv2_2, FloatUtil.INV_DEVIANCE);
+
+ Assert.assertArrayEquals("I1_0/I1_1 failure", inv1_0, inv1_2, FloatUtil.INV_DEVIANCE);
+ Assert.assertArrayEquals("I2_0/I2_1 failure", inv2_0, inv2_2, FloatUtil.INV_DEVIANCE);
+
+ Assert.assertArrayEquals("I1 failure", matrix, inv2_0, FloatUtil.INV_DEVIANCE);
+ Assert.assertArrayEquals("I2 failure", matrix, inv2_2, FloatUtil.INV_DEVIANCE);
+ Assert.assertArrayEquals("I2 failure", matrix, inv2_1, FloatUtil.INV_DEVIANCE);
+ }
+
+ @Test
+ public void test02(){
+ float[] p = new float[] { 2.3464675f, 0, 0, 0,
+ 0, 2.4142134f, 0, 0,
+ 0, 0, -1.0002f, -1,
+ 0, 0, -20.002f, 0 };
+ testImpl(p);
+ }
+
+ @Test
+ public void test03(){
+ float[] mv = new float[] { 1, 0, 0, 0,
+ 0, 1, 0, 0,
+ 0, 0, 1, 0,
+ 0, 0, -200, 1 } ;
+ testImpl(mv);
+ }
+
+ @Test
+ public void test04(){
+ float[] p = new float[] { 2.3464675f, 0, 0, 0,
+ 0, 2.4142134f, 0, 0,
+ 0, 0, -1.0002f, -1,
+ 0, 0, -20.002f, 0 };
+
+ testImpl(p);
+ }
+
+ @Test
+ public void test05Perf(){
+ float[] p1 = new float[] { 2.3464675f, 0, 0, 0,
+ 0, 2.4142134f, 0, 0,
+ 0, 0, -1.0002f, -1,
+ 0, 0, -20.002f, 0 };
+
+ float[] p2 = new float[]{ 26, 59, 143, 71,
+ 59, 174, 730, 386,
+ 143, 730, 9770, 5370,
+ 71, 386, 5370, 2954 };
+
+ final float[] res1 = new float[16];
+ final float[] res2 = new float[16];
+ final float[] temp = new float[16];
+
+ final int loops = 1000000;
+ long tI0 = 0;
+ long tI1 = 0;
+ long tI2 = 0;
+
+ // warm-up
+ for(int i=0; i<10; i++) {
+ invertMatrix(p1, 0, res2, 0, temp);
+ FloatUtil.invertMatrix(p1, 0, res1, 0);
+ FloatUtil.invertMatrix(p1, res1);
+
+ invertMatrix(p2, 0, res2, 0, temp);
+ FloatUtil.invertMatrix(p2, 0, res1, 0);
+ FloatUtil.invertMatrix(p2, res1);
+ }
+
+
+ for(int i=0; i<loops; i++) {
+
+ final long t_0 = Platform.currentTimeMillis();
+
+ invertMatrix(p1, 0, res2, 0, temp);
+ final long t_1 = Platform.currentTimeMillis();
+ tI0 += t_1 - t_0;
+
+ FloatUtil.invertMatrix(p1, 0, res1, 0);
+ final long t_2 = Platform.currentTimeMillis();
+ tI1 += t_2 - t_1;
+
+ FloatUtil.invertMatrix(p1, res1);
+ final long t_3 = Platform.currentTimeMillis();
+ tI2 += t_3 - t_2;
+
+ invertMatrix(p2, 0, res2, 0, temp);
+ final long t_4 = Platform.currentTimeMillis();
+ tI0 += t_4 - t_3;
+
+ FloatUtil.invertMatrix(p2, 0, res1, 0);
+ final long t_5 = Platform.currentTimeMillis();
+ tI1 += t_5 - t_4;
+
+ FloatUtil.invertMatrix(p2, res2);
+ final long t_6 = Platform.currentTimeMillis();
+ tI2 += t_6 - t_5;
+ }
+ System.err.printf("Summary loops %6d: I1 %6d ms total, %f ms/inv%n", loops, tI0, (double)tI0/loops);
+ System.err.printf("Summary loops %6d: I2 %6d ms total, %f ms/inv%n", loops, tI1, (double)tI1/loops);
+ System.err.printf("Summary loops %6d: I3 %6d ms total, %f ms/inv%n", loops, tI2, (double)tI2/loops);
+
+ }
+
+ public static float[] invertMatrix(final float[] msrc, final int msrc_offset, final float[] mres, final int mres_offset, final float[/*4*4*/] temp) {
+ int i, j, k, swap;
+ float t;
+ for (i = 0; i < 4; i++) {
+ final int i4 = i*4;
+ for (j = 0; j < 4; j++) {
+ temp[i4+j] = msrc[i4+j+msrc_offset];
+ }
+ }
+ FloatUtil.makeIdentity(mres, mres_offset);
+
+ for (i = 0; i < 4; i++) {
+ final int i4 = i*4;
+
+ //
+ // Look for largest element in column
+ //
+ swap = i;
+ for (j = i + 1; j < 4; j++) {
+ if (Math.abs(temp[j*4+i]) > Math.abs(temp[i4+i])) {
+ swap = j;
+ }
+ }
+
+ if (swap != i) {
+ final int swap4 = swap*4;
+ //
+ // Swap rows.
+ //
+ for (k = 0; k < 4; k++) {
+ t = temp[i4+k];
+ temp[i4+k] = temp[swap4+k];
+ temp[swap4+k] = t;
+
+ t = mres[i4+k+mres_offset];
+ mres[i4+k+mres_offset] = mres[swap4+k+mres_offset];
+ mres[swap4+k+mres_offset] = t;
+ }
+ }
+
+ if (temp[i4+i] == 0) {
+ //
+ // No non-zero pivot. The matrix is singular, which shouldn't
+ // happen. This means the user gave us a bad matrix.
+ //
+ return null;
+ }
+
+ t = temp[i4+i];
+ for (k = 0; k < 4; k++) {
+ temp[i4+k] /= t;
+ mres[i4+k+mres_offset] /= t;
+ }
+ for (j = 0; j < 4; j++) {
+ if (j != i) {
+ final int j4 = j*4;
+ t = temp[j4+i];
+ for (k = 0; k < 4; k++) {
+ temp[j4+k] -= temp[i4+k] * t;
+ mres[j4+k+mres_offset] -= mres[i4+k+mres_offset]*t;
+ }
+ }
+ }
+ }
+ return mres;
+ }
+
+ public static void main(String args[]) {
+ org.junit.runner.JUnitCore.main(TestFloatUtil03InversionNOUI.class.getName());
+ }
+}
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