Log Message:
py-hypothesis: updated to 3.68.0

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.