e5143d2a49
3.68.0: :func:~hypothesis.extra.numpy.arrays now checks that integer and float values drawn from elements and fill strategies can be safely cast to the dtype of the array, and emits a warning otherwise. Elements in the resulting array could previously violate constraints on the elements strategy due to floating-point overflow or truncation of integers to fit smaller types. 3.67.1: This release contains a tiny refactoring of the internals. There is no user-visible change. 3.67.0: This release adds a width argument to :func:~hypothesis.strategies.floats, to generate lower-precision floating point numbers for e.g. Numpy arrays. The generated examples are always instances of Python's native float type, which is 64bit, but passing width=32 will ensure that all values can be exactly represented as 32bit floats. This can be useful to avoid overflow (to +/- infinity), and for efficiency of generation and shrinking. Half-precision floats (width=16) are also supported, but require Numpy if you are running Python 3.5 or earlier. |
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