---
- branch: MAIN
  date: Fri Aug 17 07:15:22 UTC 2018
  files:
  - new: '1.58'
    old: '1.57'
    path: pkgsrc/devel/py-hypothesis/Makefile
    pathrev: pkgsrc/devel/py-hypothesis/Makefile@1.58
    type: modified
  - new: '1.20'
    old: '1.19'
    path: pkgsrc/devel/py-hypothesis/PLIST
    pathrev: pkgsrc/devel/py-hypothesis/PLIST@1.20
    type: modified
  - new: '1.55'
    old: '1.54'
    path: pkgsrc/devel/py-hypothesis/distinfo
    pathrev: pkgsrc/devel/py-hypothesis/distinfo@1.55
    type: modified
  id: 20180817T071522Z.4082bacd45dd21d68c87fff70d25d16bbd689e55
  log: |
    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.
  module: pkgsrc
  subject: 'CVS commit: pkgsrc/devel/py-hypothesis'
  unixtime: '1534490122'
  user: adam