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Unified Diff: tests/MatrixTest.cpp

Issue 22816005: Add homogeneous point mapping to Matrix (Closed) Base URL: https://skia.googlecode.com/svn/trunk
Patch Set: Created 7 years, 4 months ago
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Index: tests/MatrixTest.cpp
diff --git a/tests/MatrixTest.cpp b/tests/MatrixTest.cpp
index 2f16d656619bf0c881ad9a85f71285cb30196996..8785730322f52dfdc47bc76130f4f23c72339efc 100644
--- a/tests/MatrixTest.cpp
+++ b/tests/MatrixTest.cpp
@@ -592,6 +592,144 @@ static void test_matrix_decomposition(skiatest::Reporter* reporter) {
REPORTER_ASSERT(reporter, !SkDecomposeUpper2x2(mat, &rotation0, &scaleX, &scaleY, &rotation1));
}
+// For test_matrix_homogeneous, below.
+static bool scalar_array_nearly_equal_relative(const SkScalar a[], const SkScalar b[], int count) {
+ for (int i = 0; i < count; ++i) {
+ if (!scalar_nearly_equal_relative(a[i], b[i])) {
+ return false;
+ }
+ }
+ return true;
+}
+
+// For test_matrix_homogeneous, below.
+// Maps a single triple in src using m and compares results to those in dst
+static bool naive_homogeneous_mapping(const SkMatrix& m, const SkScalar src[3],
+ const SkScalar dst[3]) {
+ SkScalar res[3];
+ SkScalar ms[9] = {m[0], m[1], m[2],
+ m[3], m[4], m[5],
+ m[6], m[7], m[8]};
+ res[0] = src[0] * ms[0] + src[1] * ms[1] + src[2] * ms[2];
+ res[1] = src[0] * ms[3] + src[1] * ms[4] + src[2] * ms[5];
+ res[2] = src[0] * ms[6] + src[1] * ms[7] + src[2] * ms[8];
+ return scalar_array_nearly_equal_relative(res, dst, 3);
+}
+
+static void test_matrix_homogeneous(skiatest::Reporter* reporter) {
+ SkMatrix mat;
+
+ const float kRotation0 = 15.5f;
+ const float kRotation1 = -50.f;
+ const float kScale0 = 5000.f;
+
+ const int kTripleCount = 1000;
+ const int kMatrixCount = 1000;
+ SkRandom rand;
+
+ SkScalar randTriples[3*kTripleCount];
+ for (int i = 0; i < 3*kTripleCount; ++i) {
+ randTriples[i] = rand.nextRangeF(-3000.f, 3000.f);
+ }
+
+ SkMatrix mats[kMatrixCount];
+ for (int i = 0; i < kMatrixCount; ++i) {
+ for (int j = 0; j < 9; ++j) {
+ mats[i].set(j, rand.nextRangeF(-3000.f, 3000.f));
+ }
+ }
+
+ // identity
+ {
+ mat.reset();
+ SkScalar dst[3*kTripleCount];
+ mat.mapHomogeneousPoints(dst, randTriples, kTripleCount);
+ REPORTER_ASSERT(reporter, scalar_array_nearly_equal_relative(randTriples, dst, kTripleCount*3));
+ }
+
+ // zero matrix
+ {
+ mat.setAll(0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f);
+ SkScalar dst[3*kTripleCount];
+ mat.mapHomogeneousPoints(dst, randTriples, kTripleCount);
+ SkScalar zeros[3] = {0.f, 0.f, 0.f};
+ for (int i = 0; i < kTripleCount; ++i) {
+ REPORTER_ASSERT(reporter, scalar_array_nearly_equal_relative(&dst[i*3], zeros, 3));
+ }
+ }
+
+ // zero point
+ {
+ SkScalar zeros[3] = {0.f, 0.f, 0.f};
+ for (int i = 0; i < kMatrixCount; ++i) {
+ SkScalar dst[3];
+ mats[i].mapHomogeneousPoints(dst, zeros, 1);
+ REPORTER_ASSERT(reporter, scalar_array_nearly_equal_relative(dst, zeros, 3));
+ }
+ }
+
+ // doesn't crash with null dst, src, count == 0
+ {
+ mats[0].mapHomogeneousPoints(NULL, NULL, 0);
+ }
+
+ // uniform scale of point
+ {
+ mat.setScale(kScale0, kScale0);
+ SkScalar dst[3];
+ SkScalar src[3] = {randTriples[0], randTriples[1], 1.f};
+ SkPoint pnt;
+ pnt.set(src[0], src[1]);
+ mat.mapHomogeneousPoints(dst, src, 1);
+ mat.mapPoints(&pnt, &pnt, 1);
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[0], pnt.fX));
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[1], pnt.fY));
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[2], SK_Scalar1));
+ }
+
+ // rotation of point
+ {
+ mat.setRotate(kRotation0);
+ SkScalar dst[3];
+ SkScalar src[3] = {randTriples[0], randTriples[1], 1.f};
+ SkPoint pnt;
+ pnt.set(src[0], src[1]);
+ mat.mapHomogeneousPoints(dst, src, 1);
+ mat.mapPoints(&pnt, &pnt, 1);
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[0], pnt.fX));
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[1], pnt.fY));
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[2], SK_Scalar1));
+ }
+
+ // rotation, scale, rotation of point
+ {
+ mat.setRotate(kRotation1);
+ mat.postScale(kScale0, kScale0);
+ mat.postRotate(kRotation0);
+ SkScalar dst[3];
+ SkScalar src[3] = {randTriples[0], randTriples[1], 1.f};
+ SkPoint pnt;
+ pnt.set(src[0], src[1]);
+ mat.mapHomogeneousPoints(dst, src, 1);
+ mat.mapPoints(&pnt, &pnt, 1);
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[0], pnt.fX));
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[1], pnt.fY));
+ REPORTER_ASSERT(reporter, SkScalarNearlyEqual(dst[2], SK_Scalar1));
+ }
+
+ // compare with naive approach
+ {
+ for (int i = 0; i < kMatrixCount; ++i) {
+ for (int j = 0; j < kTripleCount; ++j) {
+ SkScalar dst[3];
+ mats[i].mapHomogeneousPoints(dst, &randTriples[j*3], 1);
+ REPORTER_ASSERT(reporter, naive_homogeneous_mapping(mats[i], &randTriples[j*3], dst));
+ }
+ }
+ }
+
+}
+
static void TestMatrix(skiatest::Reporter* reporter) {
SkMatrix mat, inverse, iden1, iden2;
@@ -713,6 +851,7 @@ static void TestMatrix(skiatest::Reporter* reporter) {
test_matrix_is_similarity(reporter);
test_matrix_recttorect(reporter);
test_matrix_decomposition(reporter);
+ test_matrix_homogeneous(reporter);
}
#include "TestClassDef.h"
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