TST: Add tests for FP16 umath functions#21954
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mattip
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Jul 9, 2022
| arr = np.arange(65536, dtype=np.int16) | ||
| datafp16 = np.frombuffer(arr.tobytes(), dtype=np.float16) | ||
| datafp32 = datafp16.astype(np.float32) | ||
| assert_array_max_ulp(ufunc(datafp16), ufunc(datafp32), maxulp=1, dtype=np.float16) |
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| assert_array_max_ulp(ufunc(datafp16), ufunc(datafp32), maxulp=1, dtype=np.float16) | |
| assert_array_max_ulp( | |
| ufunc(datafp16), ufunc(datafp32), maxulp=1, dtype=np.float16) |
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There is a failing test in cygwin. |
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mattip
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Jul 31, 2022
| for value in [np.inf, -np.inf]: | ||
| for dt in ['e', 'f', 'd']: | ||
| assert_raises(FloatingPointError, callable, | ||
| np.array([value], dtype=dt)) |
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Could you refactor this as a parameterized test?
mattip
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Jul 31, 2022
| np.log2(arr) | ||
| np.log10(arr) | ||
| np.arccosh(arr) | ||
|
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Could you refactor this into a parameterized test
mattip
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LGTM. These tests need a good refactoring, this might be a nice task for a sprint. I noted two that it might be nice to fix already in this PR, if you have time.
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Thanks @r-devulap |
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Adding tests for comprehensive coverage of float16 umath functions.