Comparing floating point number to zero

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You are correct with your observation.

If x == 0.0, then abs(x) * epsilon is zero and you’re testing whether abs(y) <= 0.0.

If y == 0.0 then you’re testing abs(x) <= abs(x) * epsilon which means either epsilon >= 1 (it isn’t) or x == 0.0.

So either is_equal(val, 0.0) or is_equal(0.0, val) would be pointless, and you could just say val == 0.0. If you want to only accept exactly +0.0 and -0.0.

The FAQ’s recommendation in this case is of limited utility. There is no “one size fits all” floating-point comparison. You have to think about the semantics of your variables, the acceptable range of values, and the magnitude of error introduced by your computations. Even the FAQ mentions a caveat, saying this function is not usually a problem “when the magnitudes of x and y are significantly larger than epsilon, but your mileage may vary”.

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