forked from pool/python-hypothesis
Accepting request 534391 from devel:languages:python
1 OBS-URL: https://build.opensuse.org/request/show/534391 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-hypothesis?expand=0&rev=8
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version https://git-lfs.github.com/spec/v1
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oid sha256:8111d860a5638294fee7490acde44275ad00ffd10184aa55797ba1cbed09e871
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size 128066
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hypothesis-3.33.0.tar.gz
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hypothesis-3.33.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd1624a8f0d39456423f1c3041b996dccb292efc81e30366407304960253df12
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size 128548
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-------------------------------------------------------------------
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Tue Oct 17 01:47:00 UTC 2017 - arun@gmx.de
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- update to version 3.33.0:
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* This release supports strategy inference for more field types in
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Django models() - you can now omit an argument for Date, Time,
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Duration, Slug, IP Address, and UUID fields. (issue #642)
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* Strategy generation for fields with grouped choices now selects
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choices from each group, instead of selecting from the group
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names.
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-------------------------------------------------------------------
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Sun Oct 15 22:19:10 UTC 2017 - arun@gmx.de
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- specfile:
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* removed sed for src/hypothesis/tools/mergedbs.py, not in tar-ball anymore
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- update to version 3.32.2:
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* This patch removes the mergedb tool, introduced in Hypothesis
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1.7.1 on an experimental basis. It has never actually worked, and
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the new Hypothesis example database is designed to make such a
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tool unnecessary.
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- changes from version 3.32.1:
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* This patch has two improvements for strategies based on
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enumerations.
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* from_type() now handles enumerations correctly, delegating to
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sampled_from(). Previously it noted that Enum.__init__ has no
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required arguments and therefore delegated to builds(), which
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would subsequently fail.
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* When sampling from an enum.Flag, we also generate combinations of
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members. Eg for Flag('Permissions', 'READ, WRITE, EXECUTE') we can
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now generate, Permissions.READ, Permissions.READ|WRITE, and so on.
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-------------------------------------------------------------------
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Mon Oct 9 04:06:23 UTC 2017 - arun@gmx.de
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- update to version 3.32.0:
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* This changes the default value of use_coverage=True to True when
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running on pypy (it was already True on CPython).
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It was previously set to False because we expected it to be too
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slow, but recent benchmarking shows that actually performance of
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the feature on pypy is fairly acceptable - sometimes it’s slower
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than on CPython, sometimes it’s faster, but it’s generally within
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a factor of two either way.
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- changes from version 3.31.6:
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* This patch improves the quality of strategies inferred from Numpy
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dtypes:
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+ Integer dtypes generated examples with the upper half of their
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(non-sign) bits set to zero. The inferred strategies can now
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produce any representable integer.
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+ Fixed-width unicode- and byte-string dtypes now cap the internal
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example length, which should improve example and shrink quality.
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+ Numpy arrays can only store fixed-size strings internally, and
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allow shorter strings by right-padding them with null
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bytes. Inferred string strategies no longer generate such
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values, as they can never be retrieved from an array. This
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improves shrinking performance by skipping useless values.
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+ This has already been useful in Hypothesis - we found an
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overflow bug in our Pandas support, and as a result indexes()
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and range_indexes() now check that min_size and max_size are at
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least zero.
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- changes from version 3.31.5:
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* This release fixes a performance problem in tests where
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+ use_coverage is set to True.
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+ Tests experience a slow-down proportionate to the amount of code
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they cover. This is still the case, but the factor is now low
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enough that it should be unnoticeable. Previously it was large
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and became much larger in 3.28.4.
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- changes from version 3.31.4:
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* from_type() failed with a very confusing error if passed a
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NewType() (issue #901). These psudeo-types are now unwrapped
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correctly, and strategy inference works as expected.
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-------------------------------------------------------------------
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Fri Oct 6 19:43:51 UTC 2017 - arun@gmx.de
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@ -24,7 +24,7 @@
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%endif
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%bcond_with test
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Name: python-hypothesis
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Version: 3.31.3
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Version: 3.33.0
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Release: 0
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Summary: A library for property based testing
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License: MPL-2.0
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@ -68,8 +68,6 @@ work on Jython or on Python 3.0 through 3.2.
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%prep
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%setup -q -n hypothesis-%{version}
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# remove shebang
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sed -e '1d' -i src/hypothesis/tools/mergedbs.py
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%build
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%python_build
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