forked from pool/python-hypothesis
Accepting request 533201 from home:apersaud:branches:devel:languages:python
update to latest version OBS-URL: https://build.opensuse.org/request/show/533201 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-hypothesis?expand=0&rev=19
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version https://git-lfs.github.com/spec/v1
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size 128066
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hypothesis-3.32.0.tar.gz
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hypothesis-3.32.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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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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%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: 3.32.0
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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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