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How to use mock_finfo method in hypothesis

Best Python code snippet using hypothesis

array_api.py

Source:array_api.py

...783        eps: float784        max: float785        min: float786        smallest_normal: float787    def mock_finfo(dtype: DataType) -> FloatInfo:788        """Returns a finfo object compliant with the Array API789        Ensures all attributes are Python scalars and not NumPy scalars. This790        lets us ignore corner cases with how NumPy scalars operate, such as791        NumPy floats breaking our next_down() util.792        Also ensures the finfo obj has the smallest_normal attribute. NumPy only793        introduced it in v1.21.1, so we just use the equivalent tiny attribute794        to keep mocking with older versions working.795        """796        _finfo = np.finfo(dtype)797        return FloatInfo(798            int(_finfo.bits),799            float(_finfo.eps),800            float(_finfo.max),801            float(_finfo.min),...

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