When comparing floating-point values, checking for equality might lead to unexpected results. Rounding errors can lead to a result that is close to the expected one, but not equal. As a consequence, an assertion might fail when checking for equality of two floating-point quantities even if the program is implemented correctly.
Hey, I wrote some unit tests for my code. Unfortunately, if a test fails I am not getting the failure message, that I defined like this: EXPECT_ DOUBLE_EQ (0.009, min) << Min value of row 0 not equal 0.009 I run the tests in the package directory with: make test. The output looks like this: [==========] Running 4 tests from 1 test case.10/16/2008 · EXPECT_ DOUBLE_EQ (expected, actual) In Java, JUnit overloads Assert.assertEquals for floating-point types: assertEquals(float expected, float actual, float delta) assertEquals(double expected, double actual, double delta) An example (in C++): TEST(SquareRootTest, CorrectResultForPositiveNumbers) { EXPECT_FLOAT_EQ(2.0f, FloatSquareRoot(4.0f)), 5/11/2010 · The ASSERT_* variants abort the program execution if an assertion fails while EXPECT_* variants continue with the run. In either case, when an assertion fails , it prints the file name, line number, and a message that you can customize. Some of the simpler assertions include ASSERT_TRUE (condition) and ASSERT_NE (val1, val2). The former expects the condition to always be true while the.10/11/2020 · Consider using EXPECT_ DOUBLE_EQ instead. Note that EXPECT_ DOUBLE_EQ doesnt actually check for equality it checks that the doubles are equal within four units in the last place (ULPs). See my Comparing Floating Point Numbers post for details on this concept.EXPECT_ DOUBLE_EQ (val1, val2) #define EXPECT_EQ(val1, val2) #define EXPECT_FALSE(condition) #define EXPECT_FLOAT_EQ(val1, val2) #define EXPECT_GE(val1, val2)