TotT: Floating-Point Comparison

If your code manipulates floating-point values, your tests will probably involve floating-point values as well.

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.

The Google C++ Testing Framework provides functions for comparing two floating-point quantities up to a given precision.

In C++, you can use the following macros:

ASSERT_FLOAT_EQ(expected, actual);
ASSERT_DOUBLE_EQ(expected, actual);
EXPECT_FLOAT_EQ(expected, actual);
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));
EXPECT_FLOAT_EQ(23.3333f, FloatSquareRoot(544.44444f));
EXPECT_DOUBLE_EQ(2.0, DoubleSquareRoot(4.0));
EXPECT_DOUBLE_EQ(23.33333333333333, DoubleSquareRoot(544.44444444444444));
// the above succeeds
EXPECT_EQ(2.0, DoubleSquareRoot(4.0));
// the above fails
EXPECT_EQ(23.33333333333333, DoubleSquareRoot(544.44444444444444));
}

Remember to download this episode of Testing on the Toilet and post it in your office.

Link - from Google Testing Blog

Related:

Test Engineering at Google

Simulating Time in jsUnit Tests

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Six Hats of Software Testing