INSTANTIATE_TEST_CASE_P(Core_CartToPolarToCart, ElemWiseTest, ::testing::Values(ElemWiseOpPtr(new cvtest::CartToPolarToCartOp)));
-class CV_ArithmMaskTest : public cvtest::BaseTest
+TEST(Core_ArithmMask, uninitialized)
{
-public:
- CV_ArithmMaskTest() {}
- ~CV_ArithmMaskTest() {}
-protected:
- void run(int)
- {
- try
- {
RNG& rng = theRNG();
const int MAX_DIM=3;
int sizes[MAX_DIM];
for( int iter = 0; iter < 100; iter++ )
{
- //ts->printf(cvtest::TS::LOG, ".");
-
- ts->update_context(this, iter, true);
- int k, dims = rng.uniform(1, MAX_DIM+1), p = 1;
+ int dims = rng.uniform(1, MAX_DIM+1);
int depth = rng.uniform(CV_8U, CV_64F+1);
int cn = rng.uniform(1, 6);
int type = CV_MAKETYPE(depth, cn);
int op = rng.uniform(0, 5);
int depth1 = op <= 1 ? CV_64F : depth;
- for( k = 0; k < dims; k++ )
+ for (int k = 0; k < MAX_DIM; k++)
{
- sizes[k] = rng.uniform(1, 30);
- p *= sizes[k];
+ sizes[k] = k < dims ? rng.uniform(1, 30) : 0;
}
+ SCOPED_TRACE(cv::format("iter=%d dims=%d depth=%d cn=%d type=%d op=%d depth1=%d dims=[%d; %d; %d]",
+ iter, dims, depth, cn, type, op, depth1, sizes[0], sizes[1], sizes[2]));
+
Mat a(dims, sizes, type), a1;
Mat b(dims, sizes, type), b1;
Mat mask(dims, sizes, CV_8U);
}
Mat d1;
d.convertTo(d1, depth);
- CV_Assert( cvtest::norm(c, d1, CV_C) <= DBL_EPSILON );
+ EXPECT_LE(cvtest::norm(c, d1, CV_C), DBL_EPSILON);
}
Mat_<uchar> tmpSrc(100,100);
Mat_<uchar> tmpDst(100,100);
tmpDst = 2;
tmpSrc.copyTo(tmpDst,tmpMask);
- }
- catch(...)
- {
- ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
- }
- }
-};
-
-TEST(Core_ArithmMask, uninitialized) { CV_ArithmMaskTest test; test.safe_run(); }
+}
TEST(Multiply, FloatingPointRounding)
{