forked from pool/python-hypothesis
Dirk Mueller
9675953a63
- Update to 6.47.1
* Our pretty-printer no longer sorts dictionary keys, since
iteration order is stable in Python 3.7+ and this can affect
reproducing examples (issue #3370). This PR was kindly
supported by Ordina Pythoneers.
- Release 6.47.0
* The Ghostwritter can now write tests for @classmethod or
@staticmethod methods, in addition to the existing support for
functions and other callables (issue #3318). Thanks to Cheuk
Ting Ho for the patch.
- Release 6.46.11
* Mention hypothesis.strategies.timezones() in the documentation
of hypothesis.strategies.datetimes() for completeness.
* Thanks to George Macon for this addition.
- Release 6.46.10
* This release contains some small improvements to our
documentation. Thanks to Felix Divo for his contribution!
- Release 6.46.9
* This patch by Adrian Garcia Badaracco adds type annotations to
some private internals (issue #3074).
- Release 6.46.8
* This patch by Phillip Schanely makes changes to the floats()
strategy when min_value or max_value is present. Hypothesis
will now be capable of generating every representable value in
the bounds. You may notice that hypothesis is more likely to
test values near boundaries, and values that are very close to
zero.
* These changes also support future integrations with symbolic
execution tools and fuzzers (issue #3086).
- Release 6.46.7
OBS-URL: https://build.opensuse.org/request/show/982468
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-hypothesis?expand=0&rev=152
177 lines
6.6 KiB
RPMSpec
177 lines
6.6 KiB
RPMSpec
#
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# spec file
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#
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# Copyright (c) 2022 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%bcond_with ringdisabled
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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == "test"
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%define psuffix -test
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%bcond_without test
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# Magic for OBS Staging. Only build the flavors required by
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# other packages in the ring.
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%if %{with ringdisabled}
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ExclusiveArch: do_not_build
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%endif
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%else
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%define psuffix %{nil}
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%bcond_with test
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%endif
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Name: python-hypothesis%{psuffix}
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Version: 6.47.1
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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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URL: https://github.com/HypothesisWorks/hypothesis
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# Source is the `hypothesis-python` subdir of the Github repository.
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# Edit the `_service` file and run `osc service runall` for updates.
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# See also https://hypothesis.readthedocs.io/en/latest/packaging.html
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Source: hypothesis-python-%{version}.tar.gz
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BuildRequires: %{python_module base >= 3.7}
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BuildRequires: %{python_module setuptools}
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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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Requires(post): update-alternatives
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Requires(preun):update-alternatives
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# SECTION requires_extra
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# consuming packages need to declare these optional dependencies explicitly
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Recommends: python-Django >= 2.2
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Recommends: python-black >= 19.10
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Recommends: python-click >= 7.0
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Recommends: python-dpcontracts >= 0.4
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Recommends: python-lark-parser >= 0.6.5
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Recommends: python-libcst >= 0.3.16
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Recommends: python-numpy >= 1.9.0
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Recommends: python-pandas >= 0.25
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Recommends: python-pytest >= 4.6
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Recommends: python-python-dateutil >= 1.4
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Recommends: python-pytz >= 2014.1
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Recommends: python-redis >= 3.0.0
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Recommends: python-rich >= 9.0
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Recommends: (python-importlib_metadata >= 3.6 if python-base < 3.8)
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# /SECTION
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BuildArch: noarch
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%if %{with test}
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BuildRequires: %{python_module attrs >= 19.2.0}
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BuildRequires: %{python_module sortedcontainers >= 2.1.0}
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# SECTION test requirements
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BuildRequires: %{python_module Django >= 2.2}
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BuildRequires: %{python_module backports.zoneinfo >= 0.2.1 if %python-base < 3.9}
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BuildRequires: %{python_module black >= 19.10}
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BuildRequires: %{python_module dpcontracts >= 0.4}
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BuildRequires: %{python_module fakeredis}
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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 libcst >= 0.3.16}
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BuildRequires: %{python_module numpy >= 1.9.0}
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BuildRequires: %{python_module pandas >= 0.25}
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BuildRequires: %{python_module pexpect}
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BuildRequires: %{python_module pytest >= 4.6}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module python-dateutil >= 1.4}
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# /SECTION
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%endif
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%python_subpackages
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%description
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Hypothesis is a family of testing libraries which let you write tests parametrized
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by a source of examples. A Hypothesis implementation then generates simple and
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comprehensible examples that make your tests fail. This simplifies writing your
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tests and makes them more powerful at the same time, by letting software automate
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the boring bits and do them to a higher standard than a human would, freeing you
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to focus on the higher level test logic.
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This sort of testing is often called "property-based testing", and the most widely
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known implementation of the concept is the Haskell library QuickCheck, but
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Hypothesis differs significantly from QuickCheck and is designed to fit idiomatically
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and easily into existing styles of testing that you are used to, with absolutely no
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familiarity with Haskell or functional programming needed.
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%prep
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%setup -q -n hypothesis-python-%{version}
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%autopatch -p1
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# gh#HypothesisWorks/hypothesis#2447: make sure arr==0.0 is an array on 32-bit
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sed -i 's/assert (arr == 0.0)/assert np.asarray(arr == 0.0)/' tests/numpy/test_gen_data.py
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%build
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%if !%{with test}
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%python_build
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%endif
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%install
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%if !%{with test}
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%python_clone -a %{buildroot}%{_bindir}/hypothesis
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%endif
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%post
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%python_install_alternative hypothesis
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%postun
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%python_uninstall_alternative hypothesis
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%check
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%if %{with test}
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# theses tests try to write into global python_sitelib
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# https://github.com/HypothesisWorks/hypothesis/issues/2546
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donttest="test_updating_the_file_include_new_shrinkers"
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donttest+=" or test_can_learn_to_normalize_the_unnormalized"
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# adapted from pytest.ini in github repo toplevel dir (above hypothesis-python)
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echo '[pytest]
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addopts=
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--strict-markers
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--tb=native
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-p pytester --runpytest=subprocess
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-v
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-n auto
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-ra
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filterwarnings =
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error
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ignore::hypothesis.errors.NonInteractiveExampleWarning
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# https://github.com/pandas-dev/pandas/issues/41199
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default:Creating a LegacyVersion has been deprecated and will be removed in the next major release:DeprecationWarning
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default:distutils Version classes are deprecated\. Use packaging\.version instead:DeprecationWarning
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# https://github.com/pandas-dev/pandas/issues/32056 (?)
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default:numpy\.ufunc size changed, may indicate binary incompatibility\. Expected 216 from C header, got 232 from PyObject:RuntimeWarning
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# https://github.com/lark-parser/lark/pull/1140
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default:module 'sre_constants' is deprecated:DeprecationWarning
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default:module 'sre_parse' is deprecated:DeprecationWarning
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# https://github.com/pandas-dev/pandas/issues/34848
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default:`np\.bool` is a deprecated alias for the builtin `bool`:DeprecationWarning
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default:`np\.complex` is a deprecated alias for the builtin `complex`:DeprecationWarning
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default:`np\.object` is a deprecated alias for the builtin `object`:DeprecationWarning
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' > pytest.ini
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%pytest -c pytest.ini -k "not ($donttest)" tests
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%endif
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%if !%{with test}
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%files %{python_files}
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%license LICENSE.txt
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%doc README.rst
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%python_alternative %{_bindir}/hypothesis
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%{python_sitelib}/*hypothesis*
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%{python_sitelib}/hypothesis-%{version}-py*.egg-info
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%pycache_only %{python_sitelib}/__pycache__/*hypothesis*
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%endif
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%changelog
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