Accepting request 818385 from home:alarrosa:branches:devel:languages:python
- Update to version 5.19.0: * This release improves the randoms() strategy by adding support for Random instances where Hypothesis generates the random values rather than having them be “truly” random. - Update to version 5.18.3: * This patch adds some internal functions to support a new feature we’re working on. There is no user-visible change… yet. - Update to version 5.18.2: * This patch improves our docs for the derandomize setting. - Update to version 5.18.1: * This release consists of some internal refactoring to the shrinker in preparation for future work. It has no user visible impact. - Update to version 5.18.0: * This release teaches Hypothesis to shorten tracebacks for explicit examples, as we already do for generated examples, so that you can focus on your code rather than ours. * If you have multiple failing explicit examples, they will now all be reported. To report only the first failure, you can use the report_multiple_bugs=False setting as for generated examples. - Update to version 5.17.0: * This patch adds strategy inference for the Literal, NewType, Type, DefaultDict, and TypedDict types from the typing_extensions backport on PyPI. - Update to version 5.16.3: * This patch precomputes some of the setup logic for our experimental external fuzzer integration and sets deadline=None in fuzzing mode, saving around 150us on each iteration. * This is around two-thirds the runtime to fuzz an empty test with @given(st.none()), and nice to have even as a much smaller fraction of the runtime for non-trivial tests. OBS-URL: https://build.opensuse.org/request/show/818385 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-hypothesis?expand=0&rev=131
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version https://git-lfs.github.com/spec/v1
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size 9007902
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hypothesis-python-5.19.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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size 9022213
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-------------------------------------------------------------------
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Thu Jul 2 16:44:48 UTC 2020 - Antonio Larrosa <alarrosa@suse.com>
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- Update to version 5.19.0:
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* This release improves the randoms() strategy by adding support
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for Random instances where Hypothesis generates the random
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values rather than having them be “truly” random.
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- Update to version 5.18.3:
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* This patch adds some internal functions to support a new feature
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we’re working on. There is no user-visible change… yet.
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- Update to version 5.18.2:
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* This patch improves our docs for the derandomize setting.
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- Update to version 5.18.1:
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* This release consists of some internal refactoring to the shrinker
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in preparation for future work. It has no user visible impact.
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- Update to version 5.18.0:
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* This release teaches Hypothesis to shorten tracebacks for explicit
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examples, as we already do for generated examples, so that you can
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focus on your code rather than ours.
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* If you have multiple failing explicit examples, they will now all
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be reported. To report only the first failure, you can use the
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report_multiple_bugs=False setting as for generated examples.
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- Update to version 5.17.0:
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* This patch adds strategy inference for the Literal, NewType, Type,
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DefaultDict, and TypedDict types from the typing_extensions
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backport on PyPI.
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- Update to version 5.16.3:
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* This patch precomputes some of the setup logic for our
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experimental external fuzzer integration and sets deadline=None
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in fuzzing mode, saving around 150us on each iteration.
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* This is around two-thirds the runtime to fuzz an empty test with
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@given(st.none()), and nice to have even as a much smaller
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fraction of the runtime for non-trivial tests.
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- Update to version 5.16.2:
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* This patch fixes an internal error when warning about the use of
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function-scoped fixtures for parametrised tests where the
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parametrised value contained a % character.
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- Update to version 5.16.1:
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* If you pass a list or tuple where a strategy was expected, the
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error message now mentions sampled_from() as an example strategy.
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- Update to version 5.16.0:
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* functions() can now infer the appropriate returns strategy if you
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pass a like function with a return-type annotation. Before,
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omitting the returns argument would generate functions that
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always returned None.
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- Update to version 5.15.1:
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* Fix from_type() with generic types under Python 3.9.
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- Update to version 5.15.0:
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* This patch fixes an error that happens when multiple threads
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create new strategies.
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- Update to version 5.14.0:
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* Passing min_magnitude=None to complex_numbers() is now deprecated.
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You can explicitly pass min_magnitude=0, or omit the argument entirely.
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- Update to version 5.13.1:
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* This patch fixes an internal error in from_type() for
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typing.NamedTuple in Python 3.9.
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- Update to version 5.13.0:
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* This release upgrades the test statistics available via
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the –hypothesis-show-statistics option to include separate
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information on each of the phases (issue #1555).
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- Update to version 5.12.2:
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* This patch teaches the from_type() internals to return slightly
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more efficient strategies for some generic sets and mappings.
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- Update to version 5.12.1:
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* This patch adds a # noqa comment for flake8 3.8.0, which
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disagrees with mypy about how to write the type of ....
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- Update to version 5.12.0:
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* This release limits the maximum duration of the shrinking phase
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to five minutes, so that Hypothesis does not appear to hang when
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making very slow progress shrinking a failing example
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(issue #2340).
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* If one of your tests triggers this logic, we would really
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appreciate a bug report to help us improve the shrinker for
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difficult but realistic workloads.
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-------------------------------------------------------------------
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Thu May 21 14:56:04 UTC 2020 - Matej Cepl <mcepl@suse.com>
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@ -28,7 +28,7 @@
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%endif
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%define skip_python2 1
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Name: python-hypothesis%{psuffix}
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Version: 5.11.0
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Version: 5.19.0
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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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@ -40,31 +40,31 @@ Patch0: failing-test_array_values_are_unique_high_collision.patch
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BuildRequires: %{python_module setuptools >= 36}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-attrs >= 19.2.0
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Requires: python-sortedcontainers >= 2.1.0
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Recommends: python-Django >= 2.2
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Recommends: python-dpcontracts >= 0.4
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Recommends: python-lark-parser >= 0.6.5
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Requires: python-attrs >= 19.3.0
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Requires: python-sortedcontainers >= 2.2.2
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Recommends: python-Django >= 3.0.7
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Recommends: python-dpcontracts >= 0.6.0
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Recommends: python-lark-parser >= 0.8.9
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Recommends: python-numpy >= 1.9.0
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Recommends: python-pandas >= 0.19
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Recommends: python-pytest >= 4.3.0
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Recommends: python-python-dateutil >= 1.4
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Recommends: python-pytest >= 5.4.3
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Recommends: python-python-dateutil >= 2.8.1
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Recommends: python-pytz >= 2014.1
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BuildArch: noarch
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%if %{with test}
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# SECTION test requirements
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BuildRequires: %{python_module Django >= 2.2}
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BuildRequires: %{python_module attrs >= 19.2.0}
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BuildRequires: %{python_module Django >= 3.0.7}
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BuildRequires: %{python_module attrs >= 19.3.0}
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BuildRequires: %{python_module dpcontracts >= 0.6.0}
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BuildRequires: %{python_module flaky}
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BuildRequires: %{python_module hypothesis >= %{version}}
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BuildRequires: %{python_module lark-parser >= 0.6.5}
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BuildRequires: %{python_module lark-parser >= 0.8.9}
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BuildRequires: %{python_module mock}
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BuildRequires: %{python_module numpy >= 1.9.0}
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BuildRequires: %{python_module pexpect >= 4.7.0}
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BuildRequires: %{python_module pytest >= 4.3.0}
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BuildRequires: %{python_module python-dateutil >= 1.4}
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BuildRequires: %{python_module sortedcontainers >= 2.1.0}
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BuildRequires: python3-dpcontracts
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BuildRequires: %{python_module pexpect >= 4.8.0}
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BuildRequires: %{python_module pytest >= 5.4.3}
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BuildRequires: %{python_module python-dateutil >= 2.8.1}
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BuildRequires: %{python_module sortedcontainers >= 2.2.2}
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%endif
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# /SECTION
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%python_subpackages
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