python-hypothesis

Edit Package python-hypothesis
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_multibuild 0000000053 53 Bytes
_service 0000000663 663 Bytes
hypothesis-python-6.119.1.tar.gz 0000948069 926 KB
python-hypothesis.changes 0000180732 176 KB
python-hypothesis.spec 0000008392 8.2 KB
Latest Revision
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1224614 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 79)
- Update to 6.119.1
  - This patch migrates some more internals (around generating
    novel inputs) to the IR layer (issue #3921).
- Update to 6.119.0
  - This release improves Hypothesis’ handling of ExceptionGroup
    - it’s now able to detect marker detections if they’re inside
    a group and attempts to resolve them. Note that this handling
    is still a work in progress and might not handle edge cases
    optimally. Please open issues if you encounter any problems
    or unexpected behavior with it.
- Update to 6.118.9
  - Internal refactorings in preparation for upcoming changes.
- Update to 6.118.8
  - Internal renamings.
- Update to 6.118.7
  - This patch removes some # type: ignore comments following a
    mypy update.
- Update to 6.118.6
  - When Hypothesis replays examples from its test database that
    it knows were previously fully shrunk it will no longer try
    to shrink them again.
  - This should significantly speed up development workflows for
    slow tests, as the shrinking could contribute a significant
    delay when rerunning the tests.
  - In some rare cases this may cause minor reductions in example
    quality. This was considered an acceptable tradeoff for the
    improved test runtime.
- Update to 6.118.5
  - This patch avoids computing some string representations we
    won’t need, giving a small speedup (part of issue #4139).
- Update to 6.118.4
  - This patch migrates the optimisation algorithm for
    targeted property-based testing to our IR layer (issue
    #3921). This should result in moderately different (and
    hopefully improved) exploration behavior in tests which use
    hypothesis.target().
- Update to 6.118.3
  - This patch adds more type hints to internal Hypothesis code.
- Update to 6.118.2
  - This patch migrates the explain phase to our IR layer (issue
    #3921). This should improve both its speed and precision.
- Update to 6.118.1
  - This patch updates some internals around how we determine an
    input is too large to finish generating.
- Update to 6.118.0
  - The urls() strategy no longer generates URLs where the port
    number is 0.
  - This change is motivated by the idea that the generated URLs
    should, at least in theory, be possible to fetch. The port
    number 0 is special; if a server binds to port 0, the kernel
    will allocate an unused, and non-zero, port instead. That
    means that it’s not possible for a server to actually be
    listening on port 0. This motivation is briefly described in
    the documentation for urls().
  - Fixes issue #4157.
  - Thanks to @gmacon for this contribution!
- Update to 6.117.0
  - This changes the behaviour of settings profiles so that
    if you reregister the currently loaded profile it will
    automatically reload it. Previously you would have had to
    load it again.
  - In particular this means that if you register a “ci” profile,
    it will automatically be used when Hypothesis detects you are
    running on CI.
- Update to 6.116.0
  - Hypothesis now detects if it is running on a CI server and
    provides better default settings for running on CI in this
    case.
- Update to 6.115.6
  - This patch changes the priority order of pretty printing
    logic so that a user provided pretty printing method will
    always be used in preference to e.g. printing it like a
    dataclass.
- Update to 6.115.5
  - This patch restores diversity to the outputs of
    from_type(type) (issue #4144).
- Update to 6.115.4
  - This release improves pretty printing of nested classes to
    include the outer class name in their printed representation.
- Update to 6.115.3
  - This patch fixes a regression from version 6.115.2 where
    generating values from integers() with certain values for
    min_value and max_value would error.
- Require numpy >= 2.
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