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python-hypothesis.30661
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File python-hypothesis.changes of Package python-hypothesis.30661
------------------------------------------------------------------- Sun May 14 15:30:18 UTC 2023 - Dirk Müller <dmueller@suse.com> - update to 6.75.3: * This patch fixes ~hypothesis.strategies.complex_numbers accidentally invalidating itself when passed magnitude arguments for 32 and 64-bit widths, i.e. 16- and 32-bit floats, due to not internally down-casting numbers ------------------------------------------------------------------- Wed May 10 16:11:33 UTC 2023 - Daniel Garcia <daniel.garcia@suse.com> - Update to 6.75.2: * Improved the documentation regarding how to use GitHubArtifactDatabase and fixed a bug that occurred in repositories with no existing artifacts. - 6.75.1 * hypothesis.errors will now raise AttributeError when attempting to access an undefined attribute, rather than returning None. - 6.75.0 * Sick of adding @example()s by hand? Our Pytest plugin now writes .patch files to insert them for you, making this workflow easier than ever before. * Note that you’ll need LibCST (via hypothesis[codemods]), and that @example().via() requires PEP 614 (Python 3.9 or later). - 6.74.1 * This patch provides better error messages for datetime- and timedelta-related invalid dtypes in our Pandas extra (issue #3518). - 6.74.0 * This release adds support for nullable pandas dtypes in pandas() (issue #3604). - 6.73.1 * This patch updates our minimum Numpy version to 1.16, and restores compatibility with versions before 1.20, which were broken by a mistake in Hypothesis 6.72.4 (issue #3625). - 6.73.0 * This release upgrades the explain phase (issue #3411). - 6.72.4 * This patch fixes type annotations for the arrays() strategy. - 6.72.3 * This patch fixes a bug with from_type() with dict[tuple[int, int], str] (issue #3527). - 6.72.2 * This patch refactors our internals to facilitate an upcoming feature. - 6.72.1 * This patch fixes some documentation and prepares for future features. - 6.72.0 * This release deprecates Healthcheck.all(), and adds a codemod to automatically replace it with list(Healthcheck) (issue #3596). - 6.71.0 * This release adds GitHubArtifactDatabase, a new database backend that allows developers to access the examples found by a Github Actions CI job. This is particularly useful for workflows that involve continuous fuzzing, like HypoFuzz. - 6.70.2 * This patch clarifies the reporting of time spent generating data. A simple arithmetic mean of the percentage of time spent can be misleading; reporting the actual time spent avoids misunderstandings. - 6.70.1 * This patch updates our vendored list of top-level domains, which is used by the provisional domains() strategy. - 6.70.0 * This release adds an optional domains= parameter to the emails() strategy, and excludes the special-use .arpa domain from the default strategy (issue #3567). - 6.69.0 * This release turns HealthCheck.return_value and HealthCheck.not_a_test_method into unconditional errors. Passing them to suppress_health_check= is therefore a deprecated no-op. (issue #3568). * Separately, GraalPy can now run and pass most of the hypothesis test suite (issue #3587). - 6.68.3 * This patch updates our vendored list of top-level domains, which is used by the provisional domains() strategy. - 6.68.2 * This patch fixes missing imports of the re module, when ghostwriting tests which include compiled patterns or regex flags. Thanks to Jens Heinrich for reporting and promptly fixing this bug! - 6.68.1 * This patch adds some private hooks for use in research on Schemathesis (see our preprint here). - 6.68.0 * This release adds support for the Array API’s 2022.12 release via the api_version argument in make_strategies_namespace(). Concretely this involves complex support in its existing strategies, plus an introduced xps.complex_dtypes() strategy. * Additionally this release now treats hypothesis.extra.array_api as stable, meaning breaking changes should only happen with major releases of Hypothesis. - 6.67.1 * This patch updates our autoformatting tools, improving our code style without any API changes. - 6.67.0 * This release allows for more precise generation of complex numbers using from_dtype(), by supporting the width, min_magnitude, and min_magnitude arguments (issue #3468). - 6.66.2 * This patch fixes a rare RecursionError when pretty-printing a multi-line object without type-specific printer, which was passed to a function which returned the same object by .map() or builds() and thus recursed due to the new pretty reprs in Hypothesis 6.65.0 - 2023-01-24 (issue #3560). Apologies to all those affected. - 6.66.1 * This makes from_dtype() pass through the parameter allow_subnormal for complex dtypes. - 6.66.0 * This release adds a width parameter to complex_numbers(), analogously to floats(). - 6.65.2 * This patch fixes invalid annotations detected for the tests generated by Ghostwritter. It will now correctly generate Optional types with just one type argument and handle union expressions inside of type arguments correctly. Additionally, it now supports code with the from __future__ import annotations marker for Python 3.10 and newer. - 6.65.1 * This release improves the pretty-printing of enums in falsifying examples, so that they print as their full identifier rather than their repr. - 6.65.0 * Hypothesis now reports some failing inputs by showing the call which constructed an object, rather than the repr of the object. This can be helpful when the default repr does not include all relevant details, and will unlock further improvements in a future version. * For now, we capture calls made via builds(), and via SearchStrategy.map(). - 6.64.0 * The Ghostwritter will now include type annotations on tests for type-annotated code. If you want to force this to happen (or not happen), pass a boolean to the new annotate= argument to the Python functions, or the --[no-]annotate CLI flag. - 6.63.0 * range_indexes() now accepts a name= argument, to generate named pandas.RangeIndex objects. - 6.62.1 * This patch tweaks xps.arrays() internals to improve PyTorch compatibility. Specifically, torch.full() does not accept integers as the shape argument (n.b. technically “size” in torch), but such behaviour is expected in internal code, so we copy the torch module and patch in a working full() function. - 6.62.0 * A classic error when testing is to write a test function that can never fail, even on inputs that aren’t allowed or manually provided. - 6.61.3 * This patch teaches our enhanced get_type_hints() function to ‘see through’ partial application, allowing inference from type hints to work in a few more cases which aren’t (yet!) supported by the standard-library version. ------------------------------------------------------------------- Fri Apr 21 12:26:35 UTC 2023 - Dirk Müller <dmueller@suse.com> - add sle15_python_module_pythons (jsc#PED-68) ------------------------------------------------------------------- Thu Apr 13 22:41:58 UTC 2023 - Matej Cepl <mcepl@suse.com> - Make calling of %{sle15modernpython} optional. ------------------------------------------------------------------- Fri Feb 17 16:07:03 UTC 2023 - Matej Cepl <mcepl@suse.com> - Limit dependencies for tests on older distributions (particularly do not depend on Django, Pandas, and fakeredis and Redis). ------------------------------------------------------------------- Sat Jan 7 21:27:40 UTC 2023 - Ben Greiner <code@bnavigator.de> - Update to 6.61.2 * This patch improves our pretty-printing of failing examples, including some refactoring to prepare for exciting future features. - Release 6.61.1 * This patch brings our domains() and emails() strategies into compliance with RFC 5890 §2.3.1: we no longer generate parts-of-domains where the third and fourth characters are -- (“R-LDH labels”), though future versions may deliberately generate xn-- punycode labels. Thanks to python-email-validator for the report! - Update dependencies - Move to PEP517 build ------------------------------------------------------------------- Thu Dec 15 06:35:15 UTC 2022 - Daniel Garcia <daniel.garcia@suse.com> - Update to 6.61.0 - This release improves our treatment of database keys, which based on (among other things) the source code of your test function. We now post-process this source to ignore decorators, comments, trailing whitespace, and blank lines - so that you can add :obj:`@example() <hypothesis.example>`\ s or make some small no-op edits to your code without preventing replay of any known failing or covering examples. - 6.60.1 - 2022-12-11 - This patch updates our vendored `list of top-level domains <https://www.iana.org/domains/root/db>`__, which is used by the provisional :func:`~hypothesis.provisional.domains` strategy. - 6.60.0 - 2022-12-04 - This release improves Hypothesis' ability to resolve forward references in type annotations. It fixes a bug that prevented :func:`~hypothesis.strategies.builds` from being used with `pydantic models that possess updated forward references <https://pydantic-docs.helpmanual.io/usage/postponed_annotations/>`__. See :issue:`3519`. - 6.59.0 - 2022-12-02 - The :obj:`@example(...) <hypothesis.example>` decorator now has a ``.via()`` method, which future tools will use to track automatically-added covering examples (:issue:`3506`). - 6.58.2 - 2022-11-30 - This patch updates our vendored `list of top-level domains <https://www.iana.org/domains/root/db>`__, which is used by the provisional :func:`~hypothesis.provisional.domains` strategy. - 6.58.1 - 2022-11-26 - This patch shifts ``hypothesis[lark]`` from depending on the old :pypi:`lark-parser` package to the new :pypi:`lark` package. There are no code changes in Hypothesis, it's just that Lark got a new name on PyPI for version 1.0 onwards. - 6.58.0 - 2022-11-19 - :func:`~hypothesis.register_random` has used :mod:`weakref` since :ref:`v6.27.1`, allowing the :class:`~random.Random`-compatible objects to be garbage-collected when there are no other references remaining in order to avoid memory leaks. We now raise an error or emit a warning when this seems likely to happen immediately. - The type annotation of :func:`~hypothesis.register_random` was also widened so that structural subtypes of :class:`~random.Random` are accepted by static typecheckers. - 6.57.1 - 2022-11-14 - This patch updates some internal type annotations and fixes a formatting bug in the :obj:`~hypothesis.Phase.explain` phase reporting. - 6.57.0 - 2022-11-14 - Hypothesis now raises an error if you passed a strategy as the ``alphabet=`` argument to :func:`~hypothesis.strategies.text`, and it generated something which was not a length-one string. This has never been supported, we're just adding explicit validation to catch cases like `this StackOverflow question <https://stackoverflow.com/a/74336909/9297601>`__. - 6.56.4 - 2022-10-28 - This patch updates some docs, and depends on :pypi:`exceptiongroup` 1.0.0 final to avoid a bug in the previous version. - 6.56.3 - 2022-10-17 - This patch teaches :func:`~hypothesis.strategies.text` to rewrite a few more filter predicates (:issue:`3134`). You're unlikely to notice any change. ------------------------------------------------------------------- Sun Oct 16 17:44:52 UTC 2022 - Dirk Müller <dmueller@suse.com> - update to 6.56.2: * This patch updates our vendored `list of top-level domains <https://www.iana.org/domains/root/db>`__, which is used by the provisional :func:`~hypothesis.provisional.domains` strategy, and fixes some incorrect examples in the docs for :func:`~hypothesis.extra.numpy.mutually_broadcastable_shapes`. ------------------------------------------------------------------- Sun Oct 9 21:39:51 UTC 2022 - Ben Greiner <code@bnavigator.de> - Update to 6.56.1 * This patch improves the error message when Hypothesis detects “flush to zero” mode for floating-point: we now report which package(s) enabled this, which can make debugging much easier. See issue #3458 for details. - Release 6.56.0 * This release defines __bool__() on SearchStrategy. It always returns True, like before, but also emits a warning to help with cases where you intended to draw a value (issue #3463). - Release 6.55.0 * In preparation for future versions of the Array API standard, make_strategies_namespace() now accepts an optional api_version argument, which determines the version conformed to by the returned strategies namespace. If None, the version of the passed array module xp is inferred. * This release also introduces xps.real_dtypes(). This is currently equivalent to the existing xps.numeric_dtypes() strategy, but exists because the latter is expected to include complex numbers in the next version of the standard. - Release 6.54.6 * If multiple explicit examples (from @example()) raise a Skip exception, for consistency with generated examples we now re-raise the first instead of collecting them into an ExceptionGroup (issue #3453). - Release 6.54.5 * This patch updates our autoformatting tools, improving our code style without any API changes. - Release 6.54.4 * This patch fixes some type annotations for Python 3.9 and earlier (issue #3397), and teaches explain mode about certain locations it should not bother reporting (issue #3439). - Release 6.54.3 * This patch teaches the Ghostwriter an additional check for function and class locations that should make it use public APIs more often. - Release 6.54.2 * This patch fixes our workaround for a pytest bug where the inner exceptions in an ExceptionGroup are not displayed (issue #3430). - Release 6.54.1 * This patch makes FailedHealthCheck and DeadlineExceeded exceptions picklable, for compatibility with Django’s parallel test runner (issue #3426). - Release 6.54.0 * Reporting of multiple failing examples now uses the PEP 654 ExceptionGroup type, which is provided by the exceptiongroup backport on Python 3.10 and earlier (issue #3175). hypothesis.errors.MultipleFailures is therefore deprecated. * Failing examples and other reports are now stored as PEP 678 exception notes, which ensures that they will always appear together with the traceback and other information about their respective error. - Release 6.53.0 * from_field() now supports UsernameField from django.contrib.auth.forms. * Thanks to Afonso Silva for reporting and working on issue #3417. - Release 6.52.4 * This patch improves the error message when you pass filenames to the hypothesis write CLI, which takes the name of a module or function (e.g. hypothesis write gzip or hypothesis write package.some_function rather than hypothesis write script.py). * Thanks to Ed Rogers for implementing this as part of the SciPy 2022 sprints! - Release 6.52.3 * This patch ensures that the warning for non-interactive .example() points to your code instead of Hypothesis internals (issue #3403). * Thanks to @jameslamb for this fix. - Release 6.52.2 * This patch makes integers() more likely to generate boundary values for large two-sided intervals (issue #2942). - Release 6.52.1 * This patch adds filter rewriting for math.isfinite(), math.isinf(), and math.isnan() on integers() or floats() (issue #2701). * Thanks to Sam Clamons at the SciPy Sprints! - Release 6.52.0 * This release adds the allow_subnormal argument to complex_numbers() by applying it to each of the real and imaginary parts separately. Closes issue #3390. * Thanks to Evan Tey for this fix. - Release 6.51.0 * Issue a deprecation warning if a function decorated with @composite does not draw any values (issue #3384). * Thanks to Grzegorz Zieba, Rodrigo Girão, and Thomas Ball for working on this at the EuroPython sprints! - Release 6.50.1 * This patch improves the error messages in @example() argument validation following the recent release of 6.49.1. - Release 6.50.0 * This release allows from_dtype() to generate Unicode strings which cannot be encoded in UTF-8, but are valid in Numpy arrays (which use UTF-32). * This logic will only be used with Numpy >= 1.19, because earlier versions have an issue which led us to revert Hypothesis 5.2 last time! - Release 6.49.1 * This patch fixes some inconsistency between argument handling for @example and @given (2706). - Release 6.49.0 * This release uses PEP 612 typing.ParamSpec (or the typing_extensions backport) to express the first-argument-removing behaviour of @st.composite and signature-preservation of functions() to IDEs, editor plugins, and static type checkers such as mypy. - Release 6.48.3 * hypothesis.event() now works for hashable objects which do not support weakrefs, such as integers and tuples. - Release 6.48.2 * This patch tidies up some internal introspection logic, which will improve support for positional-only arguments in a future release (issue #2706). - Release 6.48.1 * This release automatically rewrites some simple filters, such as floats().filter(lambda x: x >= 10) to the more efficient floats(min_value=10), based on the AST of the predicate. * We continue to recommend using the efficient form directly wherever possible, but this should be useful for e.g. pandera “Checks” where you already have a simple predicate and translating manually is really annoying. See issue #2701 for details. - Release 6.48.0 * This release raises SkipTest for which never executed any examples, for example because the phases setting excluded the explicit, reuse, and generate phases. This helps to avoid cases where broken tests appear to pass, because they didn’t actually execute (issue #3328). - Release 6.47.5 * This patch fixes type annotations that had caused the signature of @given to be partially-unknown to type-checkers for Python versions before 3.10. - Release 6.47.4 * This patch fixes from_type() on Python 3.11, following python/cpython#93754. - Release 6.47.3 * This patch makes the too_slow health check more consistent with long deadline tests (issue #3367) and fixes an install issue under pipenv which was introduced in Hypothesis 6.47.2 (issue #3374). - Release 6.47.2 * We now use the PEP 654 ExceptionGroup type - provided by the exceptiongroup backport on older Pythons - to ensure that if multiple errors are raised in teardown, they will all propagate. ------------------------------------------------------------------- Mon Jun 13 12:58:35 UTC 2022 - Ben Greiner <code@bnavigator.de> - 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 * This patch updates the type annotations for tuples() and one_of() so that type-checkers require its arguments to be positional-only, and so that it no longer fails under pyright-strict mode (see issue #3348). Additional changes are made to Hypothesis’ internals improve pyright scans. - Release 6.46.6 * This patch by Cheuk Ting Ho adds support for PEP 655 Required and NotRequired as attributes of TypedDict in from_type() (issue #3339). - Release 6.46.5 * This patch fixes from_dtype() with long-precision floating-point datatypes (typecode g; see numpy.typename()). - Release 6.46.4 * This patch improves some error messages for custom signatures containing invalid parameter names (issue #3317). - Release 6.46.3 * This patch by Cheuk Ting Ho makes it an explicit error to call from_type() or register_type_strategy() with types that have no runtime instances (issue #3280). - Release 6.46.2 * This patch fixes silently dropping examples when the @example decorator is applied to itself (issue #3319). This was always a weird pattern, but now it works. Thanks to Ray Sogata, Keeri Tramm, and Kevin Khuong for working on this patch! - Release 6.46.1 * This patch fixes a rare bug where we could incorrectly treat empty as a type annotation, if the callable had an explicitly assigned __signature__. - Release 6.46.0 * This release adds an allow_nil argument to uuids(), which you can use to… generate the nil UUID. Thanks to Shlok Gandhi for the patch! - Release 6.45.4 * This patch fixes some missing imports for certain Ghostwritten tests. Thanks to Mel Seto for fixing issue #3316. - Release 6.45.3 * This patch teaches the Ghostwriter to recognize many more common argument names (issue #3311). - Release 6.45.2 * This patch fixes issue #3314, where Hypothesis would raise an internal error from domains() or (only on Windows) from timezones() in some rare circumstances where the installation was subtly broken. * Thanks to Munir Abdinur for this contribution. - Release 6.45.1 * This release fixes deprecation warnings about sre_compile and sre_parse imports and importlib.resources usage when running Hypothesis on Python 3.11. + Thanks to Florian Bruhin for this contribution. - Release 6.45.0 * This release updates xps.indices() by introducing an allow_newaxis argument, defaulting to False. If allow_newaxis=True, indices can be generated that add dimensions to arrays, which is achieved by the indexer containing None. This change is to support a specification change that expand dimensions via indexing (data-apis/array-api#408). - Release 6.44.0 * This release adds a names argument to indexes() and series(), so that you can create Pandas objects with specific or varied names. * Contributed by Sam Watts. - Release 6.43.3 * This patch updates the type annotations for @given so that type-checkers will warn on mixed positional and keyword arguments, as well as fixing issue #3296. - Release 6.43.2 * Fixed a type annotation for pyright --strict (issue #3287). - Release 6.43.1 * This patch makes it an explicit error to call register_type_strategy() with a Pydantic GenericModel and a callable, because GenericModel isn’t actually a generic type at runtime and so you have to register each of the “parametrized versions” (actually subclasses!) manually. See issue #2940 for more details. - Release 6.43.0 * This release makes it an explicit error to apply @pytest.fixture to a function which has already been decorated with @given(). Previously, pytest would convert your test to a fixture, and then never run it. - Release 6.42.3 * This patch fixes from_type() on a TypedDict with complex annotations, defined in a file using from __future__ import annotations. Thanks to Katelyn Gigante for identifying and fixing this bug! - Release 6.42.2 * The Hypothesis pytest plugin was not outputting valid xunit2 nodes when --junit-xml was specified. This has been broken since Pytest 5.4, which changed the internal API for adding nodes to the junit report. * This also fixes the issue when using hypothesis with --junit-xml and pytest-xdist where the junit xml report would not be xunit2 compatible. Now, when using with pytest-xdist, the junit report will just omit the <properties> node. * For more details, see this pytest issue, this pytest issue, and issue #1935 * Thanks to Brandon Chinn for this bug fix! - Release 6.42.1 * This patch fixes pretty-printing of regular expressions in Python 3.11.0a7, and updates our vendored list of top-level domains,. - Release 6.42.0 * This release makes st.functions(pure=True) less noisy (issue #3253), and generally improves pretty-printing of functions. - Release 6.41.0 * This release changes the implementation of infer to be an alias for Ellipsis. E.g. @given(a=infer) is now equivalent to @given(a=...). Furthermore, @given(...) can now be specified so that @given will infer the strategies for all arguments of the decorated function based on its annotations. - Release 6.40.3 * This patch simplifies the repr of the strategies namespace returned in make_strategies_namespace(), e.g. >>> from hypothesis.extra.array_api import make_strategies_namespace >>> from numpy import array_api as xp >>> xps = make_strategies_namespace(xp) >>> xps make_strategies_namespace(numpy.array_api) - Release 6.40.2 * Fixed from_type() support for PEP 604 union types, like int | None (issue #3255). - Release 6.40.1 * Fixed an internal error when given() was passed a lambda. - Release 6.40.0 * The Ghostwriter can now write tests which check that two or more functions are equivalent on valid inputs, or raise the same type of exception for invalid inputs (issue #3267). - Release 6.39.6 * This patch makes some quality-of-life improvements to the Ghostwriter: we guess the text() strategy for arguments named text (…obvious in hindsight, eh?); and improved the error message if you accidentally left in a nothing() or broke your rich install. - Release 6.39.5 * This patch improves our error detection and message when Hypothesis is run on a Python implementation without support for -0.0, which is required for the floats() strategy but can be disabled by unsafe compiler options (issue #3265). ------------------------------------------------------------------- Sat Mar 19 16:19:54 UTC 2022 - Ben Greiner <code@bnavigator.de> - Update to 6.39.4 * This patch tweaks some internal formatting. There is no user-visible change. - Release 6.39.3 * If the shrink phase is disabled, we now stop the generate phase as soon as an error is found regardless of the value of the report_multiple_examples setting, since that’s probably what you wanted (issue #3244). - Release 6.39.2 * This patch clarifies rare error messages in builds() (issue #3225) and floats() (issue #3207). - Release 6.39.1 * This patch fixes a regression where the bound inner function (your_test.hypothesis.inner_test) would be invoked with positional arguments rather than passing them by name, which broke pytest-asyncio (issue #3245). - 6.39.0 * This release improves Hypothesis’ handling of positional-only arguments, which are now allowed @st.composite strategies. * On Python 3.8 and later, the first arguments to builds() and from_model() are now natively positional-only. In cases which were already errors, the TypeError from incorrect usage will therefore be raises immediately when the function is called, rather than when the strategy object is used. - Release 6.38.0 * This release makes floats() error consistently when your floating-point hardware has been configured to violate IEEE-754 for subnormal numbers, instead of only when an internal assertion was tripped (issue #3092). * If this happens to you, passing allow_subnormal=False will suppress the explicit error. However, we strongly recommend fixing the root cause by disabling global-effect unsafe-math compiler options instead, or at least consulting e.g. Simon Byrne’s Beware of fast-math explainer first. - Release 6.37.2 * This patch fixes a bug in stateful testing, where returning a single value wrapped in multiple() would be printed such that the assigned variable was a tuple rather than the single element (issue #3236). - Release 6.37.1 * This patch fixes a warning under pytest 7 relating to our rich traceback display logic (issue #3223). - Release 6.37.0 * When distinguishing multiple errors, Hypothesis now looks at the inner exceptions of PEP 654 ExceptionGroups. - Release 6.36.2 * This patch updates our vendored list of top-level domains, which is used by the provisional domains() strategy. - Release 6.36.1 * This patch fixes some deprecation warnings from pytest 7.0, along with some code formatting and docs updates. - Release 6.36.0 * This release disallows using typing.Final with from_type() and register_type_strategy(). * Why? Because Final can only be used during class definition. We don’t generate class attributes. * It also does not make sense as a runtime type on its own. - Release 6.35.1 * This patch fixes hypothesis write output highlighting with rich version 12.0 and later. - Drop importorskip-numpy-pandas.patch ------------------------------------------------------------------- Thu Jan 20 16:04:34 UTC 2022 - Matej Cepl <mcepl@suse.com> - Correct exclusion of test_recursion_error_is_not_flaky for 3.10. ------------------------------------------------------------------- Mon Jan 10 16:47:37 UTC 2022 - Matej Cepl <mcepl@suse.com> - Upgrade to 6.35.0: - This release disallows using "typing.ClassVar" with "from_type()" and "register_type_strategy()". Why? Because "ClassVar" can only be used during "class" definition. We don't generate class attributes. It also does not make sense as a runtime type on its own. - Updates our vendored list of top-level domains, which is used by the provisional "domains()" strategy. - Fixes issue #3169, an extremely rare bug which would trigger if an internal least-recently-reused cache dropped a newly added entry immediately after it was added. - Fixes issue #3133 and issue #3144, where attempting to generate Pandas series of lists or sets would fail with confusing errors if you did not specify "dtype=object". - Disallows using "typing.TypeAlias" with "from_type()" and "register_type_strategy()". Why? Because "TypeAlias" is not really a type, it is a tag for type checkers that some expression is a type alias, not something else. It does not make sense for Hypothesis to resolve it as a strategy. - Updates our autoformatting tools, improving our code style without any API changes. - Drops support for Python 3.6, which reached end of life upstream on 2021-12-23. - Adds a temporary hook for a downstream tool, which is not part of the public API. - Updates our copyright headers to use a general authorship statement and omit the year. - Skip also test_recursion_error_is_not_flaky (gh#HypothesisWorks/hypothesis#3035) ------------------------------------------------------------------- Sun Dec 12 11:40:54 UTC 2021 - Ben Greiner <code@bnavigator.de> - Update to 6.31.4 * This patch makes the .example() method more representative of test-time data generation, albeit often at a substantial cost to readability (issue #3182). - Release 6.31.3 * This patch improves annotations on some of Hypothesis’ internal functions, in order to deobfuscate the signatures of some strategies. In particular, strategies shared between hypothesis.extra.numpy and the hypothesis.extra.array_api extra will benefit from this patch. - Release 6.31.2 * This patch fix invariants display in stateful falsifying examples (issue #3185). - Release 6.31.1 * This patch updates xps.indices() so no flat indices are generated, i.e. generated indices will now always explicitly cover each axes of an array if no ellipsis is present. This is to be consistent with a specification change that dropped support for flat indexing (#272). - Release 6.31.0 * This release makes us compatible with Django 4.0, in particular by adding support for use of zoneinfo timezones (though we respect the new USE_DEPRECATED_PYTZ setting if you need it). - Revert last mandatory requires update. Optional dependencies need to be declared by consuming packages (see hypothesis packaging doc) ------------------------------------------------------------------- Mon Dec 6 18:10:30 UTC 2021 - Dirk Müller <dmueller@suse.com> - fix requires ------------------------------------------------------------------- Mon Dec 6 09:35:44 UTC 2021 - Matej Cepl <mcepl@suse.com> - Fix filelist ------------------------------------------------------------------- Sun Dec 5 18:29:41 UTC 2021 - Axel Braun <axel.braun@gmx.de> - version 6.30.1 some tests skipped for python 3.6 ------------------------------------------------------------------- Sat Dec 4 18:31:49 UTC 2021 - Axel Braun <axel.braun@gmx.de> - update 6.30.0 tests/test_api disabled as recommended https://github.com/HypothesisWorks/hypothesis/issues/3178 ------------------------------------------------------------------- Sat Oct 23 15:32:25 UTC 2021 - Axel Braun <axel.braun@gmx.de> - update to 6.24.0 ------------------------------------------------------------------- Mon Jul 5 09:56:29 UTC 2021 - Antonio Larrosa <alarrosa@suse.com> - Update to 6.14.1 * Full changelog since 6.8.1: https://hypothesis.readthedocs.io/en/latest/changes.html ------------------------------------------------------------------- Sat Mar 20 22:28:47 UTC 2021 - Ben Greiner <code@bnavigator.de> - Update to 6.8.1 * Full changelog since 5.41.2: https://hypothesis.readthedocs.io/en/latest/changes.html - Changes in major version 6: * Many functions now use PEP 3102 keyword-only arguments where passing positional arguments was deprecated since 5.5. * hypothesis.extra.django.from_model() no longer accepts model as a keyword argument, where it could conflict with fields named “model”. * randoms() now defaults to use_true_random=False. * complex_numbers() no longer accepts min_magnitude=None; either use min_magnitude=0 or just omit the argument. * hypothesis.provisional.ip4_addr_strings and ip6_addr_strings are removed in favor of ip_addresses(v=...).map(str). * register_type_strategy() no longer accepts generic types with type arguments, which were always pretty badly broken. * Using function-scoped pytest fixtures is now a health-check error, instead of a warning. - Don't test numpy and pandas for python36 (NEP29) * add distro specific importorskip-numpy-pandas.patch ------------------------------------------------------------------- Tue Nov 17 18:22:29 UTC 2020 - Teemu Mannermaa <wicked@iki.fi> - Fix failing tests: * Also skip %python_clone during build of tests flavor. * Recommend python-redis and BR python-fakeredis that are needed for new redis based ExampleDatabase implemention. ------------------------------------------------------------------- Wed Nov 11 12:15:41 UTC 2020 - Dirk Mueller <dmueller@suse.com> - update to 5.41.2: * long list of changes and improvements, see https://hypothesis.readthedocs.io/en/latest/changes.html#v5-41-2 ------------------------------------------------------------------- Wed Aug 12 20:51:26 UTC 2020 - Benjamin Greiner <code@bnavigator.de> - Update to version 5.24.2 * This release improves shrink quality by allowing Hypothesis to automatically learn new shrink passes for difficult to shrink tests. * The automatic learning is not currently accessible in user code (it still needs significant work on robustness and performance before it is ready for that), but this release includes learned passes that should improve shrinking quality for tests which use any of the text(), hypothesis.strategies.floats, hypothesis.strategies.datetimes, hypothesis.strategies.emails, and complex_numbers() strategies. - Update to version 5.24.1 * This patch updates some docstrings, without changing runtime behaviour. - add comment about source archive ------------------------------------------------------------------- Tue Aug 11 12:28:11 UTC 2020 - Benjamin Greiner <code@bnavigator.de> - Update to version 5.24.0 * The functions() strategy has a new argument pure=True, which ensures that the same return value is generated for identical calls to the generated function (issue #2538). * Thanks to Zac Hatfield-Dodds and Nikita Sobolev for this feature! - Update to version 5.23.12 * This release removes a number of Hypothesis's internal "shrink passes" - transformations it makes to a generated test case during shrinking - which appeared to be redundant with other transformations. * It is unlikely that you will see much impact from this. If you do, it will likely show up as a change in shrinking performance (probably slower, maybe faster), or possibly in worse shrunk results. If you encounter the latter, please let us know. - remove rpmlintrc again - use only github source repository (python subdir) in obscpio ------------------------------------------------------------------- Sat Aug 8 08:41:01 UTC 2020 - Benjamin Greiner <code@bnavigator.de> - Use PyPI source for package and test it with tests from the Github repository -- source hypothesis-python-tests-5.23.11 as direct CPIO archive hypothesis-python-tests-5.23.11.obscpio created by (locally run) obs_scm service - Reenable django and pandas tests - With ringdisabled, do not run test flavor at all - Require and use pytest-xdist in tests * Reenables the one skipped test * Trims total build time by a large factor despite now running pandas and django tests too! - Drop failing-test_array_values_are_unique_high_collision.patch * Fix the test instead gh#HypothesisWorks/hypothesis#2447 - python-hypothesis-rpmlintrc -- filter empty types file - Sync requirements versions to setup.py * newer versions probably came from wrong interpretation of upstream's version pinning - Update to version 5.23.11 * This release fixes a bug in some internal Hypothesis support code. It has no user visible impact. - Update to version 5.23.10 * This release improves the quality of shrunk test cases in some special cases. Specifically, it should get shrinking unstuck in some scenarios which require simultaneously changing two parts of the generated test case. - Update to version 5.23.9 * This release improves the performance of some internal support code. It has no user visible impact, as that code is not currently run during normal Hypothesis operation. - Update to version 5.23.8 * This release adds a heuristic to detect when shrinking has finished despite the fact that there are many more possible transformations to try. This will be particularly useful for tests where the minimum failing test case is very large despite there being many smaller test cases possible, where it is likely to speed up shrinking dramatically. * In some cases it is likely that this will result in worse shrunk test cases. In those cases rerunning the test will result in further shrinking. - Update to version 5.23.7 * This release makes some performance improvements to shrinking. They should only be noticeable for tests that are currently particularly slow to shrink. - Update to version 5.23.6 * This patch adds some more internal functions to support a new feature we're working on, like version 5.18.3. There is still no user-visible changes yet. - Update to version 5.23.5 * This release makes some changes to internal support code that is not currently used in production Hypothesis. It has no user visible effect at present. - Update to version 5.23.4 * This release improves shrinking quality in some special cases. - Update to version 5.23.3 * This release fixes issue #2507, where lazy evaluation meant that the values drawn from a sampled_from() strategy could depend on mutations of the sampled sequence that happened after the strategy was constructed. - Update to version 5.23.2 * This patch fixes issue #2462, a bug in our handling of unittest.TestCase.subTest(). Thanks to Israel Fruchter for fixing this at the EuroPython sprints! - Update to version 5.23.1 * This release improves the behaviour of the characters() strategy when shrinking, by changing which characters are considered smallest to prefer more "normal" ascii characters where available. - Update to version 5.23.0 * The default print_blob setting is now smarter. It defaults to True in CI and False for local development. * Thanks to Hugo van Kemenade for implementing this feature at the EuroPython sprints! - Update to version 5.22.0 * The slices() strategy can now generate slices for empty sequences, slices with negative start and stop indices (from the end of the sequence), and step=None in place of step=1. * Thanks to Sangarshanan for implementing this feature at the EuroPython sprints! - Update to version 5.21.0 * This release ensures that tests which raise RecursionError are not reported as flaky simply because we run them from different initial stack depths (issue #2494). - Update to version 5.20.4 * This release improves the performance of the sample method on objects obtained from randoms() when use_true_random=False. This should mostly only be noticeable when the sample size is a large fraction of the population size, but may also help avoid health check failures in some other cases. - Update to version 5.20.3 * This release makes some internal changes for testing purposes and should have no user visible effect. - Update to version 5.20.2 * This release fixes a small caching bug in Hypothesis internals that may under some circumstances have resulted in a less diverse set of test cases being generated than was intended. * Fixing this problem revealed some performance problems that could occur during targeted property based testing, so this release also fixes those. Targeted property-based testing should now be significantly faster in some cases, but this may be at the cost of reduced effectiveness. - Update to version 5.20.1 * This patch updates our formatting to use isort 5. There is no user-visible change. - Update to version 5.20.0 * The basic_indices() strategy can now generate bare indexers in place of length-one tuples. Thanks to Andrea for this patch! - Update to version 5.19.3 * This patch removes an internal use of distutils in order to avoid this setuptools warning for some users. - Update to version 5.19.2 * This patch contains a small internal refactoring with no user-visible impact. Thanks to Andrea for writing this at the SciPy 2020 Sprints! - Update to version 5.19.1 * This release slightly improves shrinking behaviour. This should mainly only impact stateful tests, but may have some minor positive impact on shrinking collections (lists, sets, etc). ------------------------------------------------------------------- Thu Jul 2 16:44:48 UTC 2020 - Antonio Larrosa <alarrosa@suse.com> - 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. - Update to version 5.16.2: * This patch fixes an internal error when warning about the use of function-scoped fixtures for parametrised tests where the parametrised value contained a % character. - Update to version 5.16.1: * If you pass a list or tuple where a strategy was expected, the error message now mentions sampled_from() as an example strategy. - Update to version 5.16.0: * functions() can now infer the appropriate returns strategy if you pass a like function with a return-type annotation. Before, omitting the returns argument would generate functions that always returned None. - Update to version 5.15.1: * Fix from_type() with generic types under Python 3.9. - Update to version 5.15.0: * This patch fixes an error that happens when multiple threads create new strategies. - Update to version 5.14.0: * Passing min_magnitude=None to complex_numbers() is now deprecated. You can explicitly pass min_magnitude=0, or omit the argument entirely. - Update to version 5.13.1: * This patch fixes an internal error in from_type() for typing.NamedTuple in Python 3.9. - Update to version 5.13.0: * This release upgrades the test statistics available via the –hypothesis-show-statistics option to include separate information on each of the phases (issue #1555). - Update to version 5.12.2: * This patch teaches the from_type() internals to return slightly more efficient strategies for some generic sets and mappings. - Update to version 5.12.1: * This patch adds a # noqa comment for flake8 3.8.0, which disagrees with mypy about how to write the type of .... - Update to version 5.12.0: * This release limits the maximum duration of the shrinking phase to five minutes, so that Hypothesis does not appear to hang when making very slow progress shrinking a failing example (issue #2340). * If one of your tests triggers this logic, we would really appreciate a bug report to help us improve the shrinker for difficult but realistic workloads. ------------------------------------------------------------------- Thu May 21 14:56:04 UTC 2020 - Matej Cepl <mcepl@suse.com> - Add failing-test_array_values_are_unique_high_collision.patch to avoid failing test on i586 (gh#HypothesisWorks/hypothesis#2447) ------------------------------------------------------------------- Sat May 9 16:08:23 UTC 2020 - Arun Persaud <arun@gmx.de> - update to version 5.11.0: * This release improves the interaction between assume() and the @example() decorator, so that the following test no longer fails with UnsatisfiedAssumption (issue #2125): @given(value=floats(0, 1)) @example(value=0.56789) # used to make the test fail! @pytest.mark.parametrize("threshold", [0.5, 1]) def test_foo(threshold, value): assume(value < threshold) ... - changes from version 5.10.5 : * If you have django installed but don’t use it, this patch will make import hypothesis a few hundred milliseconds faster (e.g. 0.704s -> 0.271s). Thanks to importtime-waterfall for highlighting this problem and Jake Vanderplas for the solution - it’s impossible to misuse code from a module you haven’t imported! ------------------------------------------------------------------- Fri Apr 24 15:18:51 UTC 2020 - Arun Persaud <arun@gmx.de> - specfile: * updated Django version number in requirements - update to version 5.10.4: * This patch improves the internals of builds() type inference, to handle recursive forward references in certain dataclasses. This is useful for e.g. hypothesmith’s forthcoming LibCST mode. - changes from version 5.10.3: * This release reverses the order in which some operations are tried during shrinking. This should generally be a slight performance improvement, but most tests are unlikely to notice much difference. - changes from version 5.10.2: * This patch fixes issue #2406, where use of pandas.Timestamp objects as bounds for the datetimes() strategy caused an internal error. This bug was introduced in version 5.8.1. - changes from version 5.10.1: * This release is a small internal refactoring to how shrinking interacts with targeted property-based testing that should have no user user visible impact. - changes from version 5.10.0: * This release improves our support for datetimes and times around DST transitions. * times() and datetimes() are now sometimes generated with fold=1, indicating that they represent the second occurrence of a given wall-time when clocks are set backwards. This may be set even when there is no transition, in which case the fold value should be ignored. For consistency, timezones provided by the pytz package can now generate imaginary times (such as the hour skipped over when clocks ‘spring forward’ to daylight saving time, or during some historical timezone transitions). All other timezones have always supported generation of imaginary times. If you prefer the previous behaviour, datetimes() now takes an argument allow_imaginary which defaults to True but can be set to False for any timezones strategy. - changes from version 5.9.1 : * This patch fixes the rendering of binary() docstring by using the proper backticks syntax. - changes from version 5.9.0 : * Failing tests which use target() now report the highest score observed for each target alongside the failing example(s), even without explicitly showing test statistics. * This improves the debugging workflow for tests of accuracy, which assert that the total imprecision is within some error budget - for example, abs(a - b) < 0.5. Previously, shrinking to a minimal failing example could often make errors seem smaller or more subtle than they really are (see the threshold problem, and issue #2180). - changes from version 5.8.6 : * This patch improves the docstring of binary(), the repr() of sampled_from() on an enum.Enum subclass, and a warning in our pytest plugin. There is no change in runtime behaviour. - changes from version 5.8.5 : * This release (potentially very significantly) improves the performance of failing tests in some rare cases, mostly only relevant when using targeted property-based testing, by stopping further optimisation of unrelated test cases once a failing example is found. - changes from version 5.8.4 : * This release fixes issue #2395, where under some circumstances targeted property-based testing could cause Hypothesis to get caught in an infinite loop. - changes from version 5.8.3 : * This patch teaches builds() and from_type() to use the __signature__ attribute of classes where it has been set, improving our support for Pydantic models (in pydantic >= 1.5). - changes from version 5.8.2 : * This release improves the performance of the part of the core engine that deliberately generates duplicate values. - changes from version 5.8.1 : * This patch improves dates() shrinking, to simplify year, month, and day like datetimes() rather than minimizing the number of days since 2000-01-01. ------------------------------------------------------------------- Thu Apr 9 12:28:15 UTC 2020 - Marketa Calabkova <mcalabkova@suse.com> - update to version 5.8.0 * Python2 finally dropped! * Many code fixups, removals, refactorings and so on. * No need for python-pytz * Drop support for Python 3.5 * Just see hypothesis-python/docs/changes.rst ------------------------------------------------------------------- Fri Dec 13 00:20:18 UTC 2019 - Arun Persaud <arun@gmx.de> - update to version 4.53.2: * This release reorganises a number of the Hypothesis internal modules into a package structure. If you are only depending on the public API it should have no effect. If you are depending on the internal API (which you shouldn’t be, and which we don’t guarantee compatibility on) you may have to rename some imports. - changes from version 4.53.1: * This release changes the size distribution of the number of steps run in stateful testing: It will now almost always run the maximum number of steps permitted. - changes from version 4.53.0: * Test Statistics now include the best score seen for each label, which can help avoid the threshold problem when the minimal example shrinks right down to the threshold of failure (issue #2180). - changes from version 4.52.0: * This release changes the stateful_step_count setting to raise an error if set to 0. This is a backwards compatible change because a value of 0 would never have worked and attempting to run it would have resulted in an internal assertion error. - changes from version 4.51.1: * This release makes a small internal change to the distribution of test cases. It is unlikely to have much user visible impact. - changes from version 4.51.0: * This release deprecates use of @example, @seed, or @reproduce_failure without @given. ------------------------------------------------------------------- Sat Dec 7 17:43:19 UTC 2019 - Arun Persaud <arun@gmx.de> - update to version 4.50.8: * This patch makes certain uses of Bundles more efficient in stateful testing (issue #2078). - changes from version 4.50.7: * This release refactors some of Hypothesis’s internal interfaces for representing data generation. It should have no user visible effect. - changes from version 4.50.6: * This patch removes some old debugging helpers in our Numpy extra which have not been needed since issue #1963 and issue #2245. - changes from version 4.50.5: * This patch fixes issue #2229, where Numpy arrays of unsized strings would only ever have strings of size one due to an interaction between our generation logic and Numpy’s allocation strategy. - changes from version 4.50.4: * This patch fixes a rare internal error in strategies for a list of unique items sampled from a short non-unique sequence (issue #2247). The bug was discovered via hypothesis-jsonschema. - changes from version 4.50.3: * This release improves the error message when @settings tries to inherit settings from a parent argument that isn’t a settings instance. - changes from version 4.50.2: * This release improves Hypothesis’s “Falsifying example” output, by breaking output across multiple lines where necessary, and by removing irrelevant information from the stateful testing output. - changes from version 4.50.1: * This patch adds flake8-comprehensions to our linter suite. There is no user-visible change - expect perhaps via some strange microbenchmarks - but certain parts of the code now have a clear and more consistent style. - changes from version 4.50.0: * This release fixes some cases where we might previously have failed to run the validation logic for some strategies. As a result tests which would previously have been silently testing significantly less than they should may now start to raise InvalidArgument now that these errors are caught. - changes from version 4.49.0: * This release significantly improves the data distribution in rule based stateful testing <stateful_testing>, by using a technique called Swarm Testing (Groce, Alex, et al. “Swarm testing.” Proceedings of the 2012 International Symposium on Software Testing and Analysis. ACM, 2012.) to select which rules are run in any given test case. This should allow it to find many issues that it would previously have missed. * This change is likely to be especially beneficial for stateful tests with large numbers of rules. - changes from version 4.48.1: * This release adds some heuristics to test case generation that try to ensure that test cases generated early on will be relatively small. * This fixes a bug introduced in Hypothesis 4.42.0 which would cause occasional too_slow failures on some tests. - changes from version 4.48.0: * This release revokes the deprecation of find, as we’ve now rebuilt it on top of @given, which means it has minimal maintenance burden and we’re happy to support it. - changes from version 4.47.5: * This release rebuilds find() on top of @given in order to have more code in common. It should have minimal user visible effect. - changes from version 4.47.4: * This patch removes an internal compatibility shim that we no longer need. - changes from version 4.47.3: * This patch fixes several typos in our docstrings and comments, with no change in behaviour. Thanks to Dmitry Dygalo for identifying and fixing them! - changes from version 4.47.2: * This release fixes an internal issue where Hypothesis would sometimes generate test cases that were above its intended maximum size. This would only have happened rarely and probably would not have caused major problems when it did. * Users of the new targeted property-based testing might see minor impact (possibly slightly faster tests and slightly worse target scores), but only in the unlikely event that they were hitting this problem. Other users should not see any effect at all. - changes from version 4.47.1: * This release removes some unused code from the core engine. There is no user-visible change. - changes from version 4.47.0: * This release commonizes some code between running explicit examples and normal test execution. The main user visible impact of this is that deadlines are now enforced when running explicit examples. ------------------------------------------------------------------- Sat Nov 23 23:59:44 UTC 2019 - Arun Persaud <arun@gmx.de> - update to version 4.46.1: * This patch ensures that a KeyboardInterrupt received during example generation is not treated as a mystery test failure but instead propagates to the top level, not recording the interrupted generation in the conjecture data tree. Thanks to Anne Archibald for identifying and fixing the problem. - changes from version 4.46.0: * This release changes the behaviour of floats() when excluding signed zeros - floats(max_value=0.0, exclude_max=True) can no longer generate -0.0 nor the much rarer floats(min_value=-0.0, exclude_min=True) generate +0.0. * The correct interaction between signed zeros and exclusive endpoints was unclear; we now enforce the invariant that floats() will never generate a value equal to an excluded endpoint (issue #2201). * If you prefer the old behaviour, you can pass floats(max_value=-0.0) or floats(min_value=0.0) which is exactly equivalent and has not changed. If you had two endpoints equal to zero, we recommend clarifying your tests by using just() or sampled_from() instead of floats(). - changes from version 4.45.1: * This patch improves the error message when invalid arguments are passed to rule() or invariant() (issue #2149). Thanks to Benjamin Palmer for this bugfix! - changes from version 4.45.0: * This release supports typing.Final and typing.TypedDict in from_type(). - changes from version 4.44.5: * This patch disables our pytest plugin when running on versions of pytest before 4.3, the oldest our plugin supports. Note that at time of writing the Pytest developers only support 4.6 and later! * Hypothesis tests using @given() work on any test runner, but our integrations to e.g. avoid example database collisions when combined with @pytest.mark.parametrize eventually drop support for obsolete versions. - changes from version 4.44.4: * This patch adds some internal comments and clarifications to the Hypothesis implementation. There is no user-visible change. - changes from version 4.44.3: * This patch avoids importing test runners such as :pypi`pytest`, :pypi`unittest2`, or :pypi`nose` solely to access their special “skip test” exception types - if the module is not in sys.modules, the exception can’t be raised anyway. * This fixes a problem where importing an otherwise unused module could cause spurious errors due to import-time side effects (and possibly -Werror). - changes from version 4.44.2: * This release fixes @given to only complain about missing keyword-only arguments if the associated test function is actually called. * This matches the behaviour of other InvalidArgument errors produced by @given. - changes from version 4.44.1: * This patch allows Hypothesis to run in environments that do not specify a __file__, such as a zipapp (issue #2196). - changes from version 4.44.0: * This release adds a gufunc argument to mutually_broadcastable_shapes() (issue #2174), which allows us to generate shapes which are valid for functions like numpy.matmul that require shapes which are not simply broadcastable. * Thanks to everyone who has contributed to this feature over the last year, and a particular shout-out to Zac Hatfield-Dodds and Ryan Soklaski for mutually_broadcastable_shapes() and to Ryan Turner for the downstream hypothesis-gufunc project. - changes from version 4.43.9: * This patch fixes issue #2108, where the first test using data() to draw from characters() or text() would be flaky due to unreliable test timings. * Time taken by lazy instantiation of strategies is now counted towards drawing from the strategy, rather than towards the deadline for the test function. - changes from version 4.43.8: * This release ensures that the strategies passed to @given are properly validated when applied to a test method inside a test class. * This should result in clearer error messages when some of those strategies are invalid. - changes from version 4.43.7: * This release changes how Hypothesis manages its search space in cases where it generates redundant data. This should cause it to generate significantly fewer duplicated examples (especially with short integer ranges), and may cause it to produce more useful examples in some cases (especially ones where there is a significant amount of filtering). - changes from version 4.43.6 : * This patch refactors width handling in floats(); you may notice small performance improvements but the main purpose is to enable work on issue #1704 (improving shrinking of bounded floats). - changes from version 4.43.5 : * This patch removes an unused internal flag. There is no user-visible change. - changes from version 4.43.4: * This patch corrects the exception type and error message you get if you attempt to use data() to draw from something which is not a strategy. This never worked, but the error is more helpful now. - changes from version 4.43.3: * We’ve adopted flake8-bugbear to check for a few more style issues, and this patch implements the minor internal cleanups it suggested. There is no user-visible change. - changes from version 4.43.2: * This patch fixes the formatting of some documentation, but there is no change to any executed code. - changes from version 4.43.1 : * Python 3.8’s new typing.Literal type - see PEP 586 for details - is now supported in from_type(). - changes from version 4.43.0: * This release adds the strategy mutually_broadcastable_shapes(), which generates multiple array shapes that are mutually broadcast-compatible with an optional user-specified base-shape. * This is a generalisation of broadcastable_shapes(). It relies heavily on non-public internals for performance when generating and shrinking examples. We intend to support generating shapes matching a ufunc signature in a future version (issue #2174). * Thanks to Ryan Soklaski, Zac Hatfield-Dodds, and @rdturnermtl who contributed to this new feature. - changes from version 4.42.10: * This release fixes from_type() when used with bounded or constrained typing.TypeVar objects (issue #2094). * Previously, distinct typevars with the same constraints would be treated as all single typevar, and in cases where a typevar bound was resolved to a union of subclasses this could result in mixed types being generated for that typevar. - changes from version 4.42.9: * This patch ensures that the default value broadcastable_shapes() chooses for max_dims is always valid (at most 32), even if you pass min_dims=32. - changes from version 4.42.8: * This patch ensures that we only add profile information to the pytest header if running either pytest or Hypothesis in verbose mode, matching the builtin cache plugin (issue #2155). - changes from version 4.42.7: * This patch makes stateful step printing expand the result of a step into multiple variables when you return multiple() (issue #2139). Thanks to Joseph Weston for reporting and fixing this bug! - changes from version 4.42.6: * This release fixes a bug (issue #2166) where a Unicode character info cache file was generated but never used on subsequent test runs, causing tests to run more slowly than they should have. * Thanks to Robert Knight for this bugfix! - changes from version 4.42.5: * This patch corrects some internal documentation. There is no user-visible change. - changes from version 4.42.4: * This release fixes a bug (issue #2160) where decorators applied after @settings and before @given were ignored. * Thanks to Tom Milligan for this bugfix! - changes from version 4.42.3: * This release updates Hypothesis’s formatting to the new version of black, and has absolutely no user visible effect. - changes from version 4.42.2: * This release fixes a bug in recursive() which would have meant that in practice max_leaves was treated as if it was lower than it actually is - specifically it would be capped at the largest power of two smaller than it. It is now handled correctly. - changes from version 4.42.1: * Python 3.8’s new typing.SupportsIndex type - see PEP 357 for details - is now supported in from_type(). * Thanks to Grigorios Giannakopoulos for the patch! - changes from version 4.42.0: * This release significantly simplifies Hypothesis’s internal logic for data generation, by removing a number of heuristics of questionable or unproven value. * The results of this change will vary significantly from test to test. Most test suites will see significantly faster data generation and lower memory usage. The “quality” of the generated data may go up or down depending on your particular test suites. * If you see any significant regressions in Hypothesis’s ability to find bugs in your code as a result of this release, please file an issue to let us know. * Users of the new targeted property-based testing functionality are reasonably likely to see improvements in data generation, as this release changes the search algorithm for targeted property based testing to one that is more likely to be productive than the existing approach. - changes from version 4.41.3: * This patch is to ensure that our internals remain comprehensible to mypy 0.740 - there is no user-visible change. - changes from version 4.41.2: * This patch changes some internal hashes to SHA384, to better support users subject to FIPS-140. There is no user-visible API change. * Thanks to Paul Kehrer for this contribution! - changes from version 4.41.1: * This release makes --hypothesis-show-statistics much more useful for tests using a RuleBasedStateMachine, by simplifying the reprs so that events are aggregated correctly. - changes from version 4.41.0: * This release upgrades the fixed_dictionaries() strategy to support optional keys (issue #1913). ------------------------------------------------------------------- Wed Oct 16 13:13:59 UTC 2019 - Marketa Calabkova <mcalabkova@suse.com> - update to version 4.40.2 * Type hints improved * Performance improved * Array indexing improved * **experimental** support for targeted property-based testing ------------------------------------------------------------------- Sun Aug 25 17:57:25 UTC 2019 - Arun Persaud <arun@gmx.de> - update to version 4.34.0: * The from_type() strategy now knows to look up the subclasses of abstract types, which cannot be instantiated directly. This is very useful for hypothesmith to support libCST. - changes from version 4.33.1: * This patch works around a crash when an incompatible version of Numpy is installed under PyPy 5.10 (Python 2.7). - changes from version 4.33.0: * This release improves the domains() strategy, as well as the urls() and the emails() strategies which use it. These strategies now use the full IANA list of Top Level Domains and are correct as per RFC 1035. Passing tests using these strategies may now fail.Thanks to TechDragon for this improvement. - changes from version 4.32.3 : * This patch tidies up the repr of several settings-related objects, at runtime and in the documentation, and deprecates the undocumented edge case that phases=None was treated like phases=tuple(Phase). It also fixes from_lark() with lark 0.7.2 and later. ------------------------------------------------------------------- Sun Aug 4 15:07:54 UTC 2019 - Arun Persaud <arun@gmx.de> - update to version 4.32.2: * This patch updates some internal comments for mypy 0.720. There is no user-visible impact. - changes from version 4.32.1: * This release changes how the shrinker represents its progress internally. For large generated test cases this should result in significantly less memory usage and possibly faster shrinking. Small generated test cases may be slightly slower to shrink but this shouldn’t be very noticeable. - changes from version 4.32.0: * This release makes arrays() more pedantic about elements strategies that cannot be exactly represented as array elements. In practice, you will see new warnings if you were using a float16 or float32 dtype without passing floats() the width=16 or width=32 arguments respectively.The previous behaviour could lead to silent truncation, and thus some elements being equal to an explicitly excluded bound (issue #1899). ------------------------------------------------------------------- Sun Jul 28 16:16:49 UTC 2019 - Arun Persaud <arun@gmx.de> - update to version 4.31.1: * This patch changes an internal use of MD5 to SHA hashes, to better support users subject to FIPS-140. There is no user-visible or API change. - changes from version 4.31.0 : * This release simplifies the logic of the print_blob setting by removing the option to set it to PrintSettings.INFER. As a result the print_blob setting now takes a single boolean value, and the use of PrintSettings is deprecated. ------------------------------------------------------------------- Mon Jul 22 13:00:16 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com> - Update to 4.28.2: * Various bugfixes and deprecations all around ------------------------------------------------------------------- Sat Jun 8 23:18:22 UTC 2019 - Arun Persaud <arun@gmx.de> - update to version 4.24.3: * This patch improves the implementation of an internal wrapper on Python 3.8 beta1 (and will break on the alphas; but they’re not meant to be stable). On other versions, there is no change at all. Thanks to Daniel Hahler for the patch, and Victor Stinner for his work on bpo-37032 that made it possible. ------------------------------------------------------------------- Thu Jun 6 09:01:21 UTC 2019 - Ondřej Súkup <mimi.vx@gmail.com> - update to 4.24.2 * Deprecation messages for functions in hypothesis.extra.django.models now explicitly name the deprecated function to make it easier to track down usages. * a spurious bug raised when a @st.composite function was passed a keyword-only argument. * deprecates GenericStateMachine, in favor of RuleBasedStateMachine. * This patch clarifies some error messages when the test function signature is incompatible with the arguments to @given, especially when the @settings() decorator is also used * ixes a minor formatting issue the docstring of from_type() ------------------------------------------------------------------- Tue May 14 11:05:16 UTC 2019 - Ondřej Súkup <mimi.vx@gmail.com> - update to 4.23.4 * Adds a recipe to the docstring of :func:`~hypothesis.strategies.from_type` * implements the :func:`~hypothesis.strategies.slices` strategy, to generate slices of a length-size sequence. ------------------------------------------------------------------- Tue May 7 08:58:44 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com> - Remove pandas dependency to make ring1 more happy - Update to 4.22.0: * Various small tweaks only ------------------------------------------------------------------- Mon May 6 09:40:28 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com> - More love for the tests to make sure we execute and run them + skip/remove the obvious failures that are irelevant ------------------------------------------------------------------- Tue Apr 30 13:01:05 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com> - Update to 4.18.2: * This patch makes Hypothesis compatible with the Python 3.8 alpha * This release adds the functions() strategy * This release refactors stateful rule selection * This patch allows Hypothesis to try a few more examples after finding the first bug * This release adds the strategy broadcastable_shapes() - Make sure the tests are executed (and fail at the moment, needs bit more love) ------------------------------------------------------------------- Sat Apr 13 03:07:02 UTC 2019 - Arun Persaud <arun@gmx.de> - update to version 4.16.0: * This release allows register_type_strategy() to be used with typing.NewType instances. This may be useful to e.g. provide only positive integers for from_type(UserId) with a UserId = NewType('UserId', int) type. - changes from version 4.15.0: * This release supports passing a timedelta as the deadline setting, so you no longer have to remember that the number is in milliseconds (issue #1900). - changes from version 4.14.7: * This patch makes the type annotations on hypothesis.extra.dateutil compatible with mypy 0.700. - changes from version 4.14.6: * This release fixes a bug introduced in Hypothesis 4.14.3 that would sometimes cause sampled_from(...).filter(...) to encounter an internal assertion failure when there are three or fewer elements, and every element is rejected by the filter. - changes from version 4.14.5: * This patch takes the previous efficiency improvements to sampled_from(...).filter(...) strategies that reject most elements, and generalises them to also apply to sampled_from(...).filter(...).filter(...) and longer chains of filters. - changes from version 4.14.4: * This release fixes a bug that prevented random_module() from correctly restoring the previous state of the random module. The random state was instead being restored to a temporary deterministic state, which accidentally caused subsequent tests to see the same random values across multiple test runs. - changes from version 4.14.3: * This patch adds an internal special case to make sampled_from(...).filter(...) much more efficient when the filter rejects most elements (issue #1885). - changes from version 4.14.2: * This patch improves the error message if the function f in s.flatmap(f) does not return a strategy. - changes from version 4.14.1: * This release modifies how Hypothesis selects operations to run during shrinking, by causing it to deprioritise previously useless classes of shrink until others have reached a fixed point. * This avoids certain pathological cases where the shrinker gets very close to finishing and then takes a very long time to finish the last small changes because it tries many useless shrinks for each useful one towards the end. It also should cause a more modest improvement (probably no more than about 30%) in shrinking performance for most tests. - changes from version 4.14.0: * This release blocks installation of Hypothesis on Python 3.4, which reached its end of life date on 2019-03-18. This should not be of interest to anyone but downstream maintainers - if you are affected, migrate to a secure version of Python as soon as possible or at least seek commercial support. ------------------------------------------------------------------- Mon Mar 25 06:25:48 UTC 2019 - John Vandenberg <jayvdb@gmail.com> - Add changes.rst to %doc - Update to v4.13.0 * for changes please see doc/changes.rst or https://github.com/HypothesisWorks/hypothesis/blob/master/hypothesis-python/docs/changes.rst ------------------------------------------------------------------- Mon Mar 18 08:11:15 UTC 2019 - Ondřej Súkup <mimi.vx@gmail.com> - update to 4.11.7 * for changes please see doc/changes.rst or - https://github.com/HypothesisWorks/hypothesis/blob/master/hypothesis-python/docs/changes.rst ------------------------------------------------------------------- Fri Dec 28 12:23:28 UTC 2018 - Martin Pluskal <mpluskal@suse.com> - Move name ahead of version in spec file to resolve build issues on older distributions ------------------------------------------------------------------- Sat Dec 8 19:35:13 UTC 2018 - Arun Persaud <arun@gmx.de> - update to version 3.82.5: * This patch fixes issue #1667, where passing bounds of Numpy dtype int64 to integers() could cause errors on Python 3 due to internal rounding. - changes from version 3.82.4: * Hypothesis now seeds and resets the global state of np.random for each test case, to ensure that tests are reproducible. * This matches and complements the existing handling of the random module - Numpy simply maintains an independent PRNG for performance reasons. - changes from version 3.82.3 : * This is a no-op release to add the new Framework :: Hypothesis trove classifier to hypothesis on PyPI. * You can use it as a filter to find Hypothesis-related packages such as extensions as they add the tag over the coming weeks, or simply visit our curated list. - changes from version 3.82.2 : * The Hypothesis for Pandas extension is now listed in setup.py, so you can pip install hypothesis[pandas]. ------------------------------------------------------------------- Thu Nov 1 22:43:45 UTC 2018 - Arun Persaud <arun@gmx.de> - update to version 3.82.1: * This patch fixes from_type() on Python 2 for classes where cls.__init__ is object.__init__. Thanks to ccxcz for reporting issue #1656. - changes from version 3.82.0: * The alphabet argument for text() now uses its default value of characters(blacklist_categories=('Cs',)) directly, instead of hiding that behind alphabet=None and replacing it within the function. Passing None is therefore deprecated. - changes from version 3.81.0: * GenericStateMachine and RuleBasedStateMachine now raise an explicit error when instances of settings are assigned to the classes’ settings attribute, which is a no-op (issue #1643). Instead assign to SomeStateMachine.TestCase.settings, or use @settings(...) as a class decorator to handle this automatically. - changes from version 3.80.0: * Since version 3.68.0, arrays() checks that values drawn from the elements and fill strategies can be safely cast to the dtype of the array, and emits a warning otherwise. This release expands the checks to cover overflow for finite complex64 elements and string truncation caused by too-long elements or trailing null characters (issue #1591). - changes from version 3.79.4: * Tests using @given now shrink errors raised from pytest helper functions, instead of reporting the first example found. This was previously fixed in version 3.56.0, but only for stateful testing. - changes from version 3.79.3: * Traceback elision is now disabled on Python 2, to avoid an import-time SyntaxError under Python < 2.7.9 (Python: bpo-21591, Hypothesis 3.79.2: issue #1648). * We encourage all users to upgrade to Python 3 before the end of 2019. - changes from version 3.79.2: * This patch shortens tracebacks from Hypothesis, so you can see exactly happened in your code without having to skip over irrelevant details about our internals (issue #848). In the example test (see pull request #1582), this reduces tracebacks from nine frames to just three - and for a test with multiple errors, from seven frames per error to just one! If you do want to see the internal details, you can disable frame elision by setting verbosity to debug. - changes from version 3.79.1: * The abstract number classes Number, Complex, Real, Rational, and Integral are now supported by the from_type() strategy. Previously, you would have to use register_type_strategy() before they could be resolved (issue #1636) ------------------------------------------------------------------- Sat Oct 20 15:34:34 UTC 2018 - Arun Persaud <arun@gmx.de> - update to version 3.79.0: * This release adds a CLI flag for verbosity --hypothesis-verbosity to the Hypothesis pytest plugin, applied after loading the profile specified by --hypothesis-profile. Valid options are the names of verbosity settings, quiet, normal, verbose or debug.Thanks to Bex Dunn for writing this patch at the PyCon Australia sprints! * The pytest header now correctly reports the current profile if --hypothesis-profile has been used. Thanks to Mathieu Paturel for t he contribution at the Canberra Python Hacktoberfest. - changes from version 3.78.0: * This release has deprecated the generation of integers, floats and fractions when the conversion of the upper and/ or lower bound is not 100% exact, e.g. when an integer gets passed a bound that is not a whole number. (issue #1625) - changes from version 3.77.0: * This minor release adds functionality to settings allowing it to be used as a decorator on RuleBasedStateMachine and GenericStateMachine. - changes from version 3.76.1: * This patch fixes some warnings added by recent releases of pydocstyle and mypy. ------------------------------------------------------------------- Sun Oct 14 15:26:36 UTC 2018 - Arun Persaud <arun@gmx.de> - update to version 3.76.0: * This release deprecates using floats for min_size and max_size. * The type hint for average_size arguments has been changed from Optional[int] to None, because non-None values are always ignored and deprecated. - changes from version 3.75.4: * This patch adds more internal comments to the core engine’s sequence-length shrinker. There should be no user-visible change. - changes from version 3.75.3: * This patch adds additional comments to some of the core engine’s internal data structures. There is no user-visible change. - changes from version 3.75.2: * This patch avoids caching a trivial case, fixing issue #493. - changes from version 3.75.1: * This patch fixes a broken link in a docstring. Thanks to Benjamin Lee for this contribution! - changes from version 3.75.0: * This release deprecates the use of min_size=None, setting the default min_size to 0 (:issue: 1618). - changes from version 3.74.3: * This patch makes some small internal changes to comply with a new lint setting in the build. There should be no user-visible change. - changes from version 3.74.2: * This patch fixes issue #1153, where time spent reifying a strategy was also counted in the time spent generating the first example. Strategies are now fully constructed and validated before the timer is started. - changes from version 3.74.1: * This patch fixes some broken formatting and links in the documentation. - changes from version 3.74.0: * This release checks that the value of the print_blob setting is a PrintSettings instance. * Being able to specify a boolean value was not intended, and is now deprecated. In addition, specifying True will now cause the blob to always be printed, instead of causing it to be suppressed. * Specifying any value that is not a PrintSettings or a boolean is now an error. - changes from version 3.73.5: * Changes the documentation for hypothesis.strategies.datetimes, hypothesis.strategies.dates, hypothesis.strategies.times to use the new parameter names min_value and max_value instead of the deprecated names - changes from version 3.73.4: * This patch ensures that Hypothesis deprecation warnings display the code that emitted them when you’re not running in -Werror mode (issue #652). - changes from version 3.73.3: * Tracebacks involving @composite are now slightly shorter due to some internal refactoring. - changes from version 3.73.2: * This patch fixes errors in the internal comments for one of the shrinker passes. There is no user-visible change. - changes from version 3.73.1: * This patch substantially improves the distribution of data generated with recursive(), and fixes a rare internal error (issue #1502). - changes from version 3.73.0 : * This release adds the fulfill() function, which is designed for testing code that uses dpcontracts 0.4 or later for input validation. This provides some syntactic sugar around use of assume(), to automatically filter out and retry calls that cause a precondition check to fail (issue #1474). - changes from version 3.72.0 : * This release makes setting attributes of the hypothesis.settings class an explicit error. This has never had any effect, but could mislead users who confused it with the current settings instance hypothesis.settings.default (which is also immutable). You can change the global settings with settings profiles. - changes from version 3.71.11: * This patch factors out some common code in the shrinker for iterating over pairs of data blocks. There should be no user-visible change. - changes from version 3.71.10 : * This patch allows from_type() to handle the empty tuple type, typing.Tuple[()]. - changes from version 3.71.9 : * This patch updates some internal comments for mypy. There is no user-visible effect, even for Mypy users. - changes from version 3.71.8: * This patch fixes a rare bug that would cause a particular shrinker pass to raise an IndexError, if a shrink improvement changed the underlying data in an unexpected way. - changes from version 3.71.7: * This release fixes the broken cross-references in our docs, and adds a CI check so we don’t add new ones. ------------------------------------------------------------------- Sun Sep 16 15:37:43 UTC 2018 - Arun Persaud <arun@gmx.de> - update to version 3.71.6: * This patch fixes two bugs (issue #944 and issue #1521), where messages about @seed <hypothesis.seed() did not check the current verbosity setting, and the wrong settings were active while executing explicit examples. - changes from version 3.71.5: * This patch fixes a DeprecationWarning added in Python 3.8 (issue #1576). * Thanks to tirkarthi for this contribution! - changes from version 3.71.4: * This is a no-op release, which implements automatic DOI minting and code archival of Hypothesis via Zenodo. Thanks to CERN and the EU Horizon 2020 programme for providing this service! * Check our CITATION file for details, or head right on over to doi.org/10.5281/zenodo.1412597 - changes from version 3.71.3: * This release adds the test name to some deprecation warnings, for easier debugging. * Thanks to Sanyam Khurana for the patch! - changes from version 3.71.2: * This release makes Hypothesis’s memory usage substantially smaller for tests with many examples, by bounding the number of past examples it keeps around. * You will not see much difference unless you are running tests with max_examples set to well over 1000, but if you do have such tests then you should see memory usage mostly plateau where previously it would have grown linearly with time. - changes from version 3.71.1: * This patch adds internal comments to some tree traversals in the core engine. There is no user-visible change. ------------------------------------------------------------------- Sun Sep 9 22:39:31 CEST 2018 - Matěj Cepl <mcepl@suse.com> - Add multibuild to allow running tests. ------------------------------------------------------------------- Sat Sep 8 19:08:09 UTC 2018 - Arun Persaud <arun@gmx.de> - specfile: * updated pytest version, specified pytz version (from setup.py) - update to version 3.71.0: * many changes, see https://hypothesis.readthedocs.io/en/latest/changes.html ------------------------------------------------------------------- Wed Sep 5 10:02:37 UTC 2018 - Matěj Cepl <mcepl@suse.com> - Precompile Python files to avoid troubles with mtime and magic values. ------------------------------------------------------------------- Tue Sep 4 16:01:22 UTC 2018 - Matěj Cepl <mcepl@suse.com> - Clean up SPEC - Add %check section, but make it disabled per default (circular dependency on pytest) ------------------------------------------------------------------- Fri Aug 31 11:55:29 UTC 2018 - Tomáš Chvátal <tchvatal@suse.com> - Drop the pytest-xdist dependency to build on Leap 42.3, as it does not run tests it was quite pointless ------------------------------------------------------------------- Mon Jul 23 05:25:06 UTC 2018 - arun@gmx.de - update to version 3.66.6: * This patch ensures that Hypothesis fully supports Python 3.7, by upgrading from_type() (issue #1264) and fixing some minor issues in our test suite (issue #1148). ------------------------------------------------------------------- Sun Jul 22 18:47:08 UTC 2018 - arun@gmx.de - update to version 3.66.5: * This patch fixes the online docs for various extras, by ensuring that their dependencies are installed on readthedocs.io (issue #1326). ------------------------------------------------------------------- Fri Jul 20 15:28:09 UTC 2018 - arun@gmx.de - update to version 3.66.4: * This release improves the shrinker’s ability to reorder examples. ------------------------------------------------------------------- Thu Jul 12 15:59:06 UTC 2018 - arun@gmx.de - update to version 3.66.1: * This patch fixes a rare bug where an incorrect percentage drawtime could be displayed for a test, when the system clock was changed during a test running under Python 2 (we use time.monotonic() where it is available to avoid such problems). It also fixes a possible zero-division error that can occur when the underlying C library double-rounds an intermediate value in math.fsum() and gets the least significant bit wrong. ------------------------------------------------------------------- Sat Jul 7 17:11:59 UTC 2018 - arun@gmx.de - update to version 3.66.0: * This release improves validation of the alphabet argument to the text() strategy. The following misuses are now deprecated, and will be an error in a future version: + passing an unordered collection (such as set('abc')), which violates invariants about shrinking and reproducibility + passing an alphabet sequence with elements that are not strings + passing an alphabet sequence with elements that are not of length one, which violates any size constraints that may apply ------------------------------------------------------------------- Fri Jul 6 11:58:50 UTC 2018 - dmueller@suse.com - remove redundant pythons buildrequire ------------------------------------------------------------------- Sun Jul 1 17:47:50 UTC 2018 - arun@gmx.de - specfile: * be more specific for %{python_sitelib} in %files - update to version 3.65.0: * This release deprecates the max_shrinks setting in favor of an internal heuristic. If you need to avoid shrinking examples, use the phases setting instead. (issue #1235) - changes from version 3.64.2: * This release fixes a bug where an internal assertion error could sometimes be triggered while shrinking a failing test. - changes from version 3.64.1: * This patch fixes type-checking errors in our vendored prety-printer, which were ignored by our mypy config but visible for anyone else (whoops). Thanks to Pi Delport for reporting issue #1359 so promptly. - changes from version 3.64.0: * This release adds an interface which can be used to insert a wrapper between the original test function and @given (issue #1257). This will be particularly useful for test runner extensions such as pytest-trio, but is not recommended for direct use by other users of Hypothesis. - changes from version 3.63.0: * This release adds a new mechanism to infer strategies for classes defined using attrs, based on the the type, converter, or validator of each attribute. This inference is now built in to builds() and from_type(). * On Python 2, from_type() no longer generates instances of int when passed long, or vice-versa. - changes from version 3.62.0: * This release adds PEP 484 type hints to Hypothesis on a provisional basis, using the comment-based syntax for Python 2 compatibility. You can read more about our type hints here. * It also adds the py.typed marker specified in PEP 561. After you pip install hypothesis, mypy 0.590 or later will therefore type-check your use of our public interface! ------------------------------------------------------------------- Sun Jun 24 15:40:53 UTC 2018 - arun@gmx.de - specfile: * use %{version} in source - update to version 3.61.0: * This release deprecates the use of settings as a context manager, the use of which is somewhat ambiguous.Users should define settings with global state or with the @settings(...) decorator. - changes from version 3.60.1: * Fixed a bug in generating an instance of a Django model from a strategy where the primary key is generated as part of the strategy. See details here. - changes from version 3.60.0: * This release add initialize decorator for stateful testing (originally discussed in issue #1216). initialize act as a special rule that is only called once, and all initialize rules are guaranteed to be called before any normal rule is called. - changes from version 3.59.3: * This is a no-op release to take into account some changes to the release process. It should have no user visible effect. - changes from version 3.59.2: * This adds support for partially sorting examples which cannot be fully sorted. For example, [5, 4, 3, 2, 1, 0] with a constraint that the first element needs to be larger than the last becomes [1, 2, 3, 4, 5, 0]. - changes from version 3.59.1: * This patch uses random.getstate() and random.setstate() to restore the PRNG state after @given runs deterministic tests. Without restoring state, you might have noticed problems such as issue #1266. The fix also applies to stateful testing (issue #702). - changes from version 3.59.0: * This release adds the emails() strategy, which generates unicode strings representing an email address. - changes from version 3.58.1: * This improves the shrinker. It can now reorder examples: 3 1 2 becomes 1 2 3. - changes from version 3.58.0: * This adds a new extra timezones() strategy that generates dateutil timezones. Depends on python-dateutil. ------------------------------------------------------------------- Mon Jun 4 19:27:19 UTC 2018 - toddrme2178@gmail.com - Use github source archive as recommended by upstream. - Remove unneeded python-hypothesis-build.patch ------------------------------------------------------------------- Thu May 31 02:56:55 UTC 2018 - toddrme2178@gmail.com - Update to 3.57.0 * Using an unordered collection with the :func:`~hypothesis.strategies.permutations` strategy has been deprecated because the order in which e.g. a set shrinks is arbitrary. This may cause different results between runs. - Update to 3.56.10 - 2018-05-16 * This release makes :obj:`~hypothesis.settings.define_setting` aprivate method, which has the effect of hiding it from the documentation. - Update to 3.56.9 * This is another release with no functionality changes as part of changes to Hypothesis's new release tagging scheme. - Update to 3.56.8 * This is a release with no functionality changes that moves Hypothesis over to anew release tagging scheme. - Update to 3.56.7 * This release provides a performance improvement for most tests, but in particular users of ``sampled_from`` who don't have numpy installed should see asignificant performance improvement. - Update to 3.56.6 * This patch contains further internal work to support Mypy. There are no user-visible changes... yet. - Update to 3.56.5 * This patch contains some internal refactoring to run :pypi:`mypy` in CI. There are no user-visible changes. - Update to 3.56.4 * This release involves some very minor internal clean up and should have no user visible effect at all. - Update to 3.56.3 * This release fixes a problem introduced in :ref:`3.56.0 <v3.56.0>` where setting the hypothesis home directory (through currently undocumented means) would no longer result in the default database location living in the new home directory. - Update to 3.56.2 * This release fixes a problem introduced in :ref:`3.56.0 <v3.56.0>` where setting :obj:`~hypothesis.settings.max_examples` to ``1`` would result in tests failing with ``Unsatisfiable``. This problem could also occur in other harder to trigger circumstances (e.g. by setting it to a low value, having a hard to satisfy assumption, and disabling health checks). - Update to 3.56.1 * This release fixes a problem that was introduced in :ref:`3.56.0 <v3.56.0>`: Use of the :envvar:`HYPOTHESIS_VERBOSITY_LEVEL` environment variable was, rather than deprecated, actually broken due to being read before various setup the deprecation path needed was done. It now works correctly (and emits a deprecation warning). - Update to 3.56.0 * This release deprecates several redundant or internally oriented :class:`~hypothesis.settings`, working towards an orthogonal set of configuration options that are widely useful *without* requiring any knowledge of our internals (:issue:`535`). + Deprecated settings that no longer have any effect are no longer shown in the ``__repr__`` unless set to a non-default value. + :obj:`~hypothesis.settings.perform_health_check` is deprecated, as it duplicates :obj:`~hypothesis.settings.suppress_health_check`. + :obj:`~hypothesis.settings.max_iterations` is deprecated and disabled, because we can usually get better behaviour from an internal heuristic than a user-controlled setting. + :obj:`~hypothesis.settings.min_satisfying_examples` is deprecated and disabled, due to overlap with the :obj:`~hypothesis.settings.HealthCheck.filter_too_much` healthcheck and poor interaction with :obj:`~hypothesis.settings.max_examples`. + :envvar:`HYPOTHESIS_VERBOSITY_LEVEL` is now deprecated. Set :obj:`~hypothesis.settings.verbosity` through the profile system instead. + Examples tried by :func:`~hypothesis.find` are now reported at ``debug`` verbosity level (as well as ``verbose`` level). - Update to 3.55.6 * This release fixes a somewhat obscure condition (:issue:`1230`) under which you could occasionally see a failing test trigger an assertion error inside Hypothesis instead of failing normally. - Update to 3.55.5 * This patch fixes one possible cause of :issue:`966`. When running Python 2 with hash randomisation, passing a :obj:`python:bytes` object to :func:`python:random.seed` would use ``version=1``, which broke :obj:`~hypothesis.settings.derandomize` (because the seed depended on arandomised hash). If :obj:`~hypothesis.settings.derandomize` is *still* nondeterministic for you, please open an issue. - Update to 3.55.4 * This patch makes a variety of minor improvements to the documentation, and improves a few validation messages for invalid inputs. - Update to 3.55.3 * This release updates the URL metadata associated with the PyPI package (again). It has no other user visible effects. - Update to 3.55.2 * This release updates the URL metadata associated with the PyPI package. It has no other user visible effects. - Update to 3.55.1 * This patch relaxes constraints on the expected values returned by the standard library function :func:`hypot` and the internal helper function :func:`~hypotheses.internal.cathetus`, this to fix near-exact test-failures on some 32-bit systems. - Update to 3.55.0 * This release includes several improvements to the handling of the :obj:`~hypothesis.settings.database` setting. + The :obj:`~hypothesis.settings.database_file` setting was a historical artefact, and you should just use :obj:`~hypothesis.settings.database` directly. + The :envvar:`HYPOTHESIS_DATABASE_FILE` environment variable is deprecated, in favor of :meth:`~hypothesis.settings.load_profile` and the :obj:`~hypothesis.settings.database` setting. + If you have not configured the example database at all and the default location is not usable (due to e.g. permissions issues), Hypothesis will fall back to an in-memory database. This is not persisted between sessions, but means that the defaults work on read-only filesystems. - Update to 3.54.0 * This release improves the :func:`~hypotheses.strategies.complex_numbers` strategy, which now supports ``min_magnitude`` and ``max_magnitude`` arguments, along with ``allow_nan`` and ``allow_infinity`` like for :func:`~hypotheses.strategies.floats`. Thanks to J.J. Green for this feature. - Update to 3.53.0 * This release removes support for Django 1.8, which reached end of life on 2018-04-01. You can see Django's release and support schedule `on the Django Project website <https://www.djangoproject.com/download/#supported-versions>`_. - Update to 3.52.3 * This patch fixes the :obj:`~hypothesis.settings.min_satisfying_examples` settings documentation, by explaining that example shrinking is tracked at the level of the underlying bytestream rather than the output value. * The output from :func:`~hypothesis.find` in verbose mode has also been adjusted - see :ref:`the example session <verbose-output>` - to avoid duplicating lines when the example repr is constant, even if the underlying representation has been shrunken. - Update to 3.52.2 * This release improves the output of failures with :ref:`rule based stateful testing <rulebasedstateful>` in two ways: The output from it is now usually valid Python code. When the same value has two different names because it belongs to two different bundles, it will now display with the name associated with the correct bundle for a rule argument where it is used. - Update to 3.52.1 * This release improves the behaviour of :doc:`stateful testing <stateful>` in two ways: Previously some runs would run no steps (:issue:`376`). This should no longer happen. RuleBasedStateMachine tests which used bundles extensively would often shrink terribly. This should now be significantly improved, though there is likely a lot more room for improvement. * This release also involves a low level change to how ranges of integers are handles which may result in other improvements to shrink quality in some cases. - Update to 3.52.0 * This release deprecates use of :func:`@settings(...) <hypothesis.settings>` as a decorator, on functions or methods that are not also decorated with :func:`@given <hypothesis.given>`. You can still apply these decorators in any order, though you should only do so once each. * Applying :func:`@given <hypothesis.given>` twice was already deprecated, and applying :func:`@settings(...) <hypothesis.settings>` twice is deprecated in this release and will become an error in a future version. Neither could ever be used twice to good effect. * Using :func:`@settings(...) <hypothesis.settings>` as the sole decorator on atest is completely pointless, so this common usage error will become an error in a future version of Hypothesis. - Update to 3.51.0 * This release deprecates the ``average_size`` argument to :func:`~hypothesis.strategies.lists` and other collection strategies. You should simply delete it wherever it was used in your tests, as it no longer has any effect. In early versions of Hypothesis, the ``average_size`` argument was treated as a hint about the distribution of examples from a strategy. Subsequent improvements to the conceptual model and the engine for generating and shrinking examples mean it is more effective to simply describe what constitutes a valid example, and let our internals handle the distribution. - Update to 3.50.3 * This patch contains some internal refactoring so that we can run with warnings as errors in CI. - Update to 3.50.2 * This has no user-visible changes except one slight formatting change to one docstring, to avoid a deprecation warning. - Update to 3.50.1 * This patch fixes an internal error introduced in :ref:`3.48.0 <v3.48.0>`, where a check for the Django test runner would expose import-time errors in Django configuration (:issue:`1167`). - Update to 3.50.0 * This release improves validation of numeric bounds for some strategies. + :func:`~hypothesis.strategies.integers` and :func:`~hypothesis.strategies.floats` now raise ``InvalidArgument`` if passed a ``min_value`` or ``max_value`` which is not an instance of :class:`~python:numbers.Real`, instead of various internal errors. + :func:`~hypothesis.strategies.floats` now converts its bounding values to the nearest float above or below the min or max bound respectively, instead of just casting to float. The old behaviour was incorrect in that you could generate ``float(min_value)``, even when this was less than ``min_value`` itself (possible with eg. fractions). + When both bounds are provided to :func:`~hypothesis.strategies.floats` but there are no floats in the interval, such as ``[(2**54)+1 .. (2**55)-1]``, InvalidArgument is raised. + :func:`~hypothesis.strategies.decimals` gives a more useful error message if passed a string that cannot be converted to :class:`~python:decimal.Decimal` in a context where this error is not trapped. Code that previously **seemed** to work may be explicitly broken if there were no floats between ``min_value`` and ``max_value`` (only possible with non-float bounds), or if a bound was not a :class:`~python:numbers.Real` number but still allowed in :obj:`python:math.isnan` (some custom classes with a ``__float__`` method). - Update to 3.49.1 * This patch fixes our tests for Numpy dtype strategies on big-endian platforms, where the strategy behaved correctly but the test assumed that the native byte order was little-endian. There is no user impact unless you are running our test suite on big-endian platforms. Thanks to Graham Inggs for reporting :issue:`1164`. - Update to 3.49.0 * This release deprecates passing ``elements=None`` to collection strategies, such as :func:`~hypothesis.strategies.lists`. Requiring ``lists(nothing())`` or ``builds(list)`` instead of ``lists()`` means slightly more typing, but also improves the consistency and discoverability of our API - as well as showing how to compose or construct strategies in ways that still work in more complex situations. Passing a nonzero max_size to a collection strategy where the elements strategy contains no values is now deprecated, and will be an error in a future version. The equivalent with ``elements=None`` is already an error. - Update to 3.48.1 * This patch will minimize examples that would come out non-minimal in previous versions. Thanks to Kyle Reeve for this patch. - Update to 3.48.0 * This release improves some "unhappy paths" when using Hypothesis with the standard library :mod:`python:unittest` module: + Applying :func:`@given <hypothesis.given>` to a non-test method which is overridden from :class:`python:unittest.TestCase`, such as ``setUp``, raises :attr:`a new health check <hypothesis.settings.not_a_test_method>`. (:issue:`991`) + Using :meth:`~python:unittest.TestCase.subTest` within a test decorated with :func:`@given <hypothesis.given>` would leak intermediate results when tests were run under the :mod:`python:unittest` test runner. Individual reporting of failing subtests is now disabled during a test using :func:`@given <hypothesis.given>`. (:issue:`1071`) + :func:`@given <hypothesis.given>` is still not a class decorator, but the error message if you try using it on a class has been improved. As a related improvement, using :class:`django:django.test.TestCase` with :func:`@given <hypothesis.given>` instead of :class:`hypothesis.extra.django.TestCase` raises an explicit error instead of running all examples in a single database transaction. - Update to 3.47.0 * :obj:`~hypothesis.settings.register_profile` now accepts keyword arguments for specific settings, and the parent settings object is now optional. Using a ``name`` for a registered profile which is not a string was never suggested, but it is now also deprecated and will eventually be an error. - Update to 3.46.2 * This release removes an unnecessary branch from the code, and has no user-visible impact. - Update to 3.46.1 * This changes only the formatting of our docstrings and should have no user-visible effects. - Update to 3.46.0 * :func:`~hypothesis.strategies.characters` has improved docs about what arguments are valid, and additional validation logic to raise a clear error early (instead of e.g. silently ignoring a bad argument). Categories may be specified as the Unicode 'general category' (eg ``u'Nd'``), or as the 'major category' (eg ``[u'N', u'Lu']`` is equivalent to ``[u'Nd', u'Nl', u'No', u'Lu']``). * In previous versions, general categories were supported and all other input was silently ignored. Now, major categories are supported in addition to general categories (which may change the behaviour of some existing code), and all other input is deprecated. - Update to 3.45.5 * This patch improves strategy inference in :mod:`hypothesis.extra.django` to account for some validators in addition to field type - see :issue:`1116` for ongoing work in this space. Specifically, if a :class:`~django:django.db.models.CharField` or :class:`~django:django.db.models.TextField` has an attached :class:`~django:django.core.validators.RegexValidator`, we now use :func:`~hypothesis.strategies.from_regex` instead of :func:`~hypothesis.strategies.text` as the underlying strategy. This allows us to generate examples of the default :class:`~django:django.contrib.auth.models.User` model, closing :issue:`1112`. - Update to 3.45.4 * This patch improves some internal debugging information, fixes atypo in a validation error message, and expands the documentation for new contributors. - Add license file ------------------------------------------------------------------- Tue Mar 6 15:45:20 UTC 2018 - aplanas@suse.com - Allows Recommends and Suggest in Fedora ------------------------------------------------------------------- Fri Mar 2 09:58:08 UTC 2018 - chris@computersalat.de - fix deps for setuptools ------------------------------------------------------------------- Tue Feb 27 17:36:35 UTC 2018 - aplanas@suse.com - Recommends only for SUSE ------------------------------------------------------------------- Fri Feb 23 20:19:52 UTC 2018 - tbechtold@suse.com update to version 3.45.3 * Bump version to 3.44.26 and update changelog * That doesn't need to be conditional in the shrinker * Add release notes * Wrong backticks * Response to review * Switch over to an adaptive greedy algorithm * Clarify dependencies on enum34, Django * don't try to assign to *args * Don't split expression over multiple lines needlessly * define labels in top-level constants since they're expensive-ish to compute * Change how we track whether a block is shrinking * Add tests for zig zagging behaviour * Update isort from 4.2.15 to 4.3.2 * Add a section about deferring errors * specify target and args for build() together as *target_and_args * Fix typo * Bump version to 3.44.17 and update changelog * Add flaky annotation to test_can_generate_interval_endpoints * Add notion of labels to strategies * Bump version to 3.44.25 and update changelog * Update pytest from 3.3.2 to 3.4.0 * address more code review comments * Bump version to 3.44.19 and update changelog * Remove just and of course * Bump version to 3.45.2 and update changelog * don't refer to hypothesis_internal_target from bad implementation * Add a release note for the source changes * Add quality tests on Python 2 * Update safety from 1.6.1 to 1.7.0 * Fix typo in docstring * Bump the required version of attrs * Fix unbalanced quotes * Pass access to blocks and intervals through a level of indirection * Run 'make format' with the new version of isort * dont use 'target' in naming arg to builds() * Improve section on testing * Fix tests expecting specific example counts * add docstrings in base_defines_strategy * fix test_{nested_}discarded_intervals_are_not_in_labels to not assert exact equality * Clean up argument handling logic so we have full coverage again * Deal with another old-typing-module problem * write release note * Update isort from 4.3.2 to 4.3.3 * Run 'make requirements' * Add tests for labelling behaviour * Expand on what we track * Whoops new style class * Update pytz from 2017.3 to 2018.3 * Move interval calculation to shrinker * Convert types from strings to hbytes * Only replace examples, not joined intervals. Make more things examples * Switch hyphens to em-dashes * Update autoflake from 1.0 to 1.1 * Bump version to 3.44.21 and update changelog * Update python-gitlab from 1.2.0 to 1.3.0 * Use more descriptive names * Move instructions on running tests to testing guide * Lets not have slow tests like that in tests/cover * Track changed blocks and remove a common offset from them * give every Example a label * Bump version to 3.44.18 and update changelog * Update isort from 4.3.3 to 4.3.4 * Add tests for new behaviour * Bump version to 3.44.22 and update changelog * test_saves_negated_examples_in_covering docstring wording tweak * remove old implementation * Fix style issues in src * fix based on Zac's code review * Update imagesize from 0.7.1 to 1.0.0 * Update coverage from 4.5 to 4.5.1 * Update tests to account for new covering examples * Update certifi from 2017.11.5 to 2018.1.18 * Update typing from 3.6.2 to 3.6.4 * Track examples by draw index * rename target arg so we can use targets requiring an argument 'target' * Update babel from 2.5.2 to 2.5.3 * Update pytest-xdist from 1.21.0 to 1.22.0 * Add a release note * Monospace engine.py * Move flake8 config to tox.ini * Add flake8-docstrings * improve test_saves_negated_examples_in_covering to check what we actually care about * tweaks from code review * There was no good reason for that test to be that complicated * Correct env naming * Clean up unfinished examples at the end * Add a guide for working on internals * ideally -> usually * Update autopep8 from 1.3.3 to 1.3.4 * Bump version to 3.45.3 and update changelog * Bump version to 3.45.0 and update changelog * Make test_minimize_sets_of_sets non-flaky * Remove seed * Remove reference to intervals * Update coverage from 4.4.2 to 4.5 * Bump version to 3.45.1 and update changelog * Slight rewording * Bump version to 3.44.24 and update changelog * Update doctest * Bump version to 3.44.20 and update changelog * add myself to contributors * Bump version to 3.44.23 and update changelog * Update babel from 2.5.1 to 2.5.2 * don't use backticks in exception messages * remove duplicate * Change the way we calculate average_size's default * fix formatting of release file * Remove a bunch of dead code and comments * Revert "Switch hyphens to em-dashes" * Track labels on examples * Fix style issues in tests * Clarify specificity there * Update sphinx from 1.6.6 to 1.6.7 * Update sphinx from 1.6.7 to 1.7.0 * Those spaces aren't needed * Run tests on 2.7.14 * Just exit with the return code * fix indentation of docstrings produced by renamed_arguments * fix formatting * Update pygithub from 1.35 to 1.36 - Use pythonhosted.org sdist for Source - Comment BuildRequires for tests. Tests in %check section are currently disabled ------------------------------------------------------------------- Wed Jan 17 15:46:40 UTC 2018 - tchvatal@suse.com - Condition py2 only dependencies so we do not pull them on py3 only scenario ------------------------------------------------------------------- Wed Jan 17 03:55:40 UTC 2018 - arun@gmx.de - update to version 3.44.16: * This release improves test case reduction for recursive data structures. Hypothesis now guarantees that whenever a strategy calls itself recursively (usually this will happen because you are using deferred()), any recursive call may replace the top level value. e.g. given a tree structure, Hypothesis will always try replacing it with a subtree. * Additionally this introduces a new heuristic that may in some circumstances significantly speed up test case reduction - Hypothesis should be better at immediately replacing elements drawn inside another strategy with their minimal possible value. - changes from version 3.44.15: * from_type() can now resolve recursive types such as binary trees (issue #1004). Detection of non-type arguments has also improved, leading to better error messages in many cases involving forward references. - changes from version 3.44.14 : * This release fixes a bug in the shrinker that prevented the optimisations in 3.44.6 from working in some cases. It would not have worked correctly when filtered examples were nested (e.g. with a set of integers in some range). * This would not have resulted in any correctness problems, but shrinking may have been slower than it otherwise could be. - changes from version 3.44.13: * This release changes the average bit length of values drawn from integers() to be much smaller. Additionally it changes the shrinking order so that now size is considered before sign - e.g. -1 will be preferred to +10. * The new internal format for integers required some changes to the minimizer to make work well, so you may also see some improvements to example quality in unrelated areas. - changes from version 3.44.12: * This changes Hypothesis’s internal implementation of weighted sampling. This will affect example distribution and quality, but you shouldn’t see any other effects. - changes from version 3.44.11 : * This is a change to some internals around how Hypothesis handles avoiding generating duplicate examples and seeking out novel regions of the search space. * You are unlikely to see much difference as a result of it, but it fixes a bug where an internal assertion could theoretically be triggered and has some minor effects on the distribution of examples so could potentially find bugs that have previously been missed. - changes from version 3.44.10: * This patch avoids creating debug statements when debugging is disabled. Profiling suggests this is a 5-10% performance improvement (issue #1040). ------------------------------------------------------------------- Sat Jan 6 17:11:29 UTC 2018 - arun@gmx.de - update to version 3.44.9: * This patch blacklists null characters ('\x00') in automatically created strategies for Django CharField and TextField, due to a database issue which was recently fixed upstream (Hypothesis issue #1045). ------------------------------------------------------------------- Sat Jan 6 07:24:23 UTC 2018 - arun@gmx.de - update to version 3.44.8: * This release makes the Hypothesis shrinker slightly less greedy in order to avoid local minima - when it gets stuck, it makes a small attempt to search around the final example it would previously have returned to find a new starting point to shrink from. This should improve example quality in some cases, especially ones where the test data has dependencies among parts of it that make it difficult for Hypothesis to proceed. ------------------------------------------------------------------- Thu Jan 4 17:06:43 UTC 2018 - arun@gmx.de - update to version 3.44.7: * This release adds support for Django 2 in the hypothesis-django extra. * This release drops support for Django 1.10, as it is no longer supported by the Django team. ------------------------------------------------------------------- Wed Jan 3 22:43:51 UTC 2018 - arun@gmx.de - update to version 3.44.6: * This release speeds up test case reduction in many examples by being better at detecting large shrinks it can use to discard redundant parts of its input. This will be particularly noticeable in examples that make use of filtering and for some integer ranges. - changes from version 3.44.5: * This is a no-op release that updates the year range on all of the copyright headers in our source to include 2018. ------------------------------------------------------------------- Wed Jan 3 10:03:42 UTC 2018 - tchvatal@suse.com - Disable the tests as it is too flaky to be reliable ------------------------------------------------------------------- Sun Dec 31 05:55:59 UTC 2017 - arun@gmx.de - update to version 3.44.4: * This release fixes issue #1044, which slowed tests by up to 6% due to broken caching. ------------------------------------------------------------------- Thu Dec 21 18:22:00 UTC 2017 - arun@gmx.de - update to version 3.44.3: * This release improves the shrinker in cases where examples drawn earlier can affect how much data is drawn later (e.g. when you draw a length parameter in a composite and then draw that many elements). Examples found in cases like this should now be much closer to minimal. - changes from version 3.44.2: * This is a pure refactoring release which changes how Hypothesis manages its set of examples internally. It should have no externally visible effects. - changes from version 3.44.1: * This release fixes issue #997, in which under some circumstances the body of tests run under Hypothesis would not show up when run under coverage even though the tests were run and the code they called outside of the test file would show up normally. - changes from version 3.44.0: * This release adds a new feature: The @reproduce_failure, designed to make it easy to use Hypothesis’s binary format for examples to reproduce a problem locally without having to share your example database between machines. This also changes when seeds are printed: + They will no longer be printed for normal falsifying examples, as there are now adequate ways of reproducing those for all cases, so it just contributes noise. + They will once again be printed when reusing examples from the database, as health check failures should now be more reliable in this scenario so it will almost always work in this case. - changes from version 3.43.1: * This release fixes a bug with Hypothesis’s database management - examples that were found in the course of shrinking were saved in a way that indicated that they had distinct causes, and so they would all be retried on the start of the next test. The intended behaviour, which is now what is implemented, is that only a bounded subset of these examples would be retried. ------------------------------------------------------------------- Sun Dec 17 01:26:12 UTC 2017 - arun@gmx.de - update to version 3.43.0: * HypothesisDeprecationWarning now inherits from FutureWarning instead of DeprecationWarning, as recommended by PEP 565 for user-facing warnings (issue #618). If you have not changed the default warnings settings, you will now see each distinct HypothesisDeprecationWarning instead of only the first. ------------------------------------------------------------------- Fri Dec 15 08:55:52 UTC 2017 - ecsos@opensuse.org - Add patch python-hypothesis-build.patch to fix Factory build error ------------------------------------------------------------------- Thu Dec 14 15:00:24 UTC 2017 - tchvatal@suse.com - Update to 3.42.2: * Few tiny fixes - Switch to github tarball to contain tests - Make sure to state all buildtime dependencies ------------------------------------------------------------------- Tue Dec 12 00:54:26 UTC 2017 - arun@gmx.de - update to version 3.42.1: * This release has some internal cleanup, which makes reading the code more pleasant and may shrink large examples slightly faster. ------------------------------------------------------------------- Sat Dec 9 17:39:47 UTC 2017 - arun@gmx.de - specfile: * removed conditional for test as requested in SR 555280 * added coverage as a requirement - update to version 3.42.0: * This release deprecates hypothesis[fakefactory], which was designed as a transition strategy but does not support example shrinking or coverage-guided discovery. ------------------------------------------------------------------- Thu Dec 7 16:46:53 UTC 2017 - arun@gmx.de - update to version 3.41.0: * sampled_from() can now sample from one-dimensional numpy ndarrays. Sampling from multi-dimensional ndarrays still results in a deprecation warning. Thanks to Charlie Tanksley for this patch. ------------------------------------------------------------------- Wed Dec 6 02:52:35 UTC 2017 - arun@gmx.de - update to version 3.40.1: 3.40.1 - 2017-12-04 * This release makes two changes: + It makes the calculation of some of the metadata that Hypothesis uses for shrinking occur lazily. This should speed up performance of test case generation a bit because it no longer calculates information it doesn’t need. + It improves the shrinker for certain classes of nested examples. e.g. when shrinking lists of lists, the shrinker is now able to concatenate two adjacent lists together into a single list. As a result of this change, shrinking may get somewhat slower when the minimal example found is large. - changes from version 3.40.0: * This release improves how various ways of seeding Hypothesis interact with the example database: + Using the example database with seed() is now deprecated. You should set database=None if you are doing that. This will only warn if you actually load examples from the database while using @seed. + The derandomize will behave the same way as @seed. + Using --hypothesis-seed will disable use of the database. + If a test used examples from the database, it will not suggest using a seed to reproduce it, because that won’t work. - changes from version 3.39.0: * This release adds a new health check that checks if the smallest “natural” possible example of your test case is very large - this will tend to cause Hypothesis to generate bad examples and be quite slow. - changes from version 3.38.9: * This is a documentation release to improve the documentation of shrinking behaviour for Hypothesis’s strategies. - changes from version 3.38.8: * This release improves the performance of characters() when using blacklist_characters and from_regex() when using negative character classes. - changes from version 3.38.7: * This is a patch release for from_regex(), which had a bug in handling of the re.VERBOSE flag (issue #992). Flags are now handled correctly when parsing regex. ------------------------------------------------------------------- Tue Nov 28 19:04:24 UTC 2017 - arun@gmx.de - update to version 3.38.6: * This patch changes a few byte-string literals from double to single quotes, thanks to an update in unify. There are no user-visible changes. ------------------------------------------------------------------- Sun Nov 26 21:26:33 UTC 2017 - arun@gmx.de - update to version 3.38.5: * This fixes the repr of strategies using lambda that are defined inside decorators to include the lambda source. This would mostly have been visible when using the statistics functionality - lambdas used for e.g. filtering would have shown up with a <unknown> as their body. This can still happen, but it should happen less often now. ------------------------------------------------------------------- Wed Nov 22 19:42:32 UTC 2017 - arun@gmx.de - update to version 3.38.4: * This release updates the reported statistics so that they show approximately what fraction of your test run time is spent in data generation (as opposed to test execution). - changes from version 3.38.3: * This is a documentation release, which ensures code examples are up to date by running them as doctests in CI (issue #711). - changes from version 3.38.2: * This release changes the behaviour of the deadline setting when used with data(): Time spent inside calls to data.draw will no longer be counted towards the deadline time. * As a side effect of some refactoring required for this work, the way flaky tests are handled has changed slightly. You are unlikely to see much difference from this, but some error messages will have changed. - changes from version 3.38.1: * This patch has a variety of non-user-visible refactorings, removing various minor warts ranging from indirect imports to typos in comments. ------------------------------------------------------------------- Sun Nov 19 05:19:56 UTC 2017 - arun@gmx.de - update to version 3.38.0: * This release overhauls the health check system in a variety of small ways. It adds no new features, but is nevertheless a minor release because it changes which tests are likely to fail health checks. * The most noticeable effect is that some tests that used to fail health checks will now pass, and some that used to pass will fail. These should all be improvements in accuracy. In particular: + New failures will usually be because they are now taking into account things like use of data() and assume() inside the test body. + New failures may also be because for some classes of example the way data generation performance was measured was artificially faster than real data generation (for most examples that are hitting performance health checks the opposite should be the case). + Tests that used to fail health checks and now pass do so because the health check system used to run in a way that was subtly different than the main Hypothesis data generation and lacked some of its support for e.g. large examples. * If your data generation is especially slow, you may also see your tests get somewhat faster, as there is no longer a separate health check phase. This will be particularly noticeable when rerunning test failures. ------------------------------------------------------------------- Tue Nov 14 01:32:07 UTC 2017 - arun@gmx.de - update to version 3.37.0: * This is a deprecation release for some health check related features. * The following are now deprecated: + Passing exception_in_generation to suppress_health_check. This no longer does anything even when passed - All errors that occur during data generation will now be immediately reraised rather than going through the health check mechanism. + Passing random_module to suppress_health_check. This hasn’t done anything for a long time, but was never explicitly deprecated. Hypothesis always seeds the random module when running @given tests, so this is no longer an error and suppressing it doesn’t do anything. + Passing non-HealthCheck values in suppress_health_check. This was previously allowed but never did anything useful. ------------------------------------------------------------------- Sat Nov 11 17:16:21 UTC 2017 - arun@gmx.de - update to version 3.36.1: * This is a yak shaving release, mostly concerned with our own tests. While getfullargspec() was documented as deprecated in Python 3.5, it never actually emitted a warning. Our code to silence this (nonexistent) warning has therefore been removed. We now run our tests with DeprecationWarning as an error, and made some minor changes to our own tests as a result. This required similar upstream updates to coverage and execnet (a test-time dependency via pytest-xdist). There is no user-visible change in Hypothesis itself, but we encourage you to consider enabling deprecations as errors in your own tests. ------------------------------------------------------------------- Tue Nov 7 23:22:24 UTC 2017 - arun@gmx.de - update to version 3.36.0: * This release adds a setting to the public API, and does some internal cleanup: + The derandomize setting is now documented (issue #890) + Removed - and disallowed - all ‘bare excepts’ in Hypothesis (issue #953) + Documented the strict setting as deprecated, and updated the build so our docs always match deprecations in the code. - changes from version 3.35.0: * This minor release supports constraining uuids() to generate uuid.UUID`s of a particular version. (:issue:`721) ------------------------------------------------------------------- Sat Nov 4 02:01:40 UTC 2017 - arun@gmx.de - update to version 3.34.1: * This patch updates the documentation to suggest builds(callable) instead of just(callable()). ------------------------------------------------------------------- Fri Nov 3 05:13:56 UTC 2017 - arun@gmx.de - update to version 3.34.0: * Hypothesis now emits deprecation warnings if you apply @given more than once to a target. Applying @given repeatedly wraps the target multiple times. Each wrapper will search the space of of possible parameters separately. This is equivalent but will be much more inefficient than doing it with a single call to @given. For example, instead of @given(booleans()) @given(integers()), you could write @given(booleans(), integers()) - changes from version 3.33.1 : * builds() would try to infer a strategy for required positional arguments of the target from type hints, even if they had been given to builds() as positional arguments (issue #946). Now it only infers missing required arguments. * An internal introspection function wrongly reported self as a required argument for bound methods, which might also have affected builds(). Now it knows better. ------------------------------------------------------------------- Tue Oct 17 01:47:00 UTC 2017 - arun@gmx.de - update to version 3.33.0: * This release supports strategy inference for more field types in Django models() - you can now omit an argument for Date, Time, Duration, Slug, IP Address, and UUID fields. (issue #642) * Strategy generation for fields with grouped choices now selects choices from each group, instead of selecting from the group names. ------------------------------------------------------------------- Sun Oct 15 22:19:10 UTC 2017 - arun@gmx.de - specfile: * removed sed for src/hypothesis/tools/mergedbs.py, not in tar-ball anymore - update to version 3.32.2: * This patch removes the mergedb tool, introduced in Hypothesis 1.7.1 on an experimental basis. It has never actually worked, and the new Hypothesis example database is designed to make such a tool unnecessary. - changes from version 3.32.1: * This patch has two improvements for strategies based on enumerations. * from_type() now handles enumerations correctly, delegating to sampled_from(). Previously it noted that Enum.__init__ has no required arguments and therefore delegated to builds(), which would subsequently fail. * When sampling from an enum.Flag, we also generate combinations of members. Eg for Flag('Permissions', 'READ, WRITE, EXECUTE') we can now generate, Permissions.READ, Permissions.READ|WRITE, and so on. ------------------------------------------------------------------- Mon Oct 9 04:06:23 UTC 2017 - arun@gmx.de - update to version 3.32.0: * This changes the default value of use_coverage=True to True when running on pypy (it was already True on CPython). It was previously set to False because we expected it to be too slow, but recent benchmarking shows that actually performance of the feature on pypy is fairly acceptable - sometimes it’s slower than on CPython, sometimes it’s faster, but it’s generally within a factor of two either way. - changes from version 3.31.6: * This patch improves the quality of strategies inferred from Numpy dtypes: + Integer dtypes generated examples with the upper half of their (non-sign) bits set to zero. The inferred strategies can now produce any representable integer. + Fixed-width unicode- and byte-string dtypes now cap the internal example length, which should improve example and shrink quality. + Numpy arrays can only store fixed-size strings internally, and allow shorter strings by right-padding them with null bytes. Inferred string strategies no longer generate such values, as they can never be retrieved from an array. This improves shrinking performance by skipping useless values. + This has already been useful in Hypothesis - we found an overflow bug in our Pandas support, and as a result indexes() and range_indexes() now check that min_size and max_size are at least zero. - changes from version 3.31.5: * This release fixes a performance problem in tests where + use_coverage is set to True. + Tests experience a slow-down proportionate to the amount of code they cover. This is still the case, but the factor is now low enough that it should be unnoticeable. Previously it was large and became much larger in 3.28.4. - changes from version 3.31.4: * from_type() failed with a very confusing error if passed a NewType() (issue #901). These psudeo-types are now unwrapped correctly, and strategy inference works as expected. ------------------------------------------------------------------- Fri Oct 6 19:43:51 UTC 2017 - arun@gmx.de - update to version 3.31.3: * This release makes some small optimisations to our use of coverage that should reduce constant per-example overhead. This is probably only noticeable on examples where the test itself is quite fast. On no-op tests that don’t test anything you may see up to a fourfold speed increase (which is still significantly slower than without coverage). On more realistic tests the speed up is likely to be less than that. ------------------------------------------------------------------- Thu Oct 5 12:11:08 UTC 2017 - dimstar@opensuse.org - Add python-attrs and python-coverage requires, matching the info of setup.py. ------------------------------------------------------------------- Tue Oct 3 01:14:16 UTC 2017 - arun@gmx.de - update to version 3.31.2: * long list of updates, see https://hypothesis.readthedocs.io/en/latest/changes.html ------------------------------------------------------------------- Mon Jul 10 11:52:42 UTC 2017 - jengelh@inai.de - Ensure neutrality of description. ------------------------------------------------------------------- Thu Jun 29 17:51:17 UTC 2017 - aloisio@gmx.com - Update to version 3.11.6 (see https://github.com/HypothesisWorks/hypothesis-python/blob/3.11.6/docs/changes.rst) - Added fdupes - Updated homepage URL ------------------------------------------------------------------- Tue Feb 21 14:06:42 UTC 2017 - jmatejek@suse.com - update for singlespec - test requirements are now conditional --with=test, to shorten build loop for new submission (this will be reverted soon) - update to 3.6.1 * better thread safety * support for --hypothesis-show-statistics in pytest * better python 3.4 support * renamed fake-factory dependency to Faker ------------------------------------------------------------------- Thu May 12 16:35:11 UTC 2016 - toddrme2178@gmail.com - Fix download URL. ------------------------------------------------------------------- Mon May 9 17:57:36 UTC 2016 - toddrme2178@gmail.com - Update to 3.1.3 + Single bug fix release * Another charmap problem. In 3.1.2 text/characters would break on systems which had /tmp/ mounted on a different partition than the Hypothesis storage directory (usually in home). This fixes that. - Update to 3.1.2 + Single bug fix release: * Anything which used a text() or characters() strategy was broken on Windows and I hadn’t updated appveyor to use the new repository location so I didn’t notice. This is now fixed and windows support should work correctly. - Update to 3.1.1 + Minor bug fix release. * Fix concurrency issue when running tests that use text() from multiple processes at once (Bug #302, thanks to Alex Chan). * Improve performance of code using lists with max_size (thanks to Cristi Cobzarenco). * Fix install on Python 2 with ancient versions of pip so that it installs the enum34 backport (thanks to Donald Stufft for telling me how to do this). * Remove duplicated __all__ exports from hypothesis.strategies (thanks to Piët Delport). * Update headers to point to new repository location. * Allow use of strategies that can’t be used in find() (e.g. choices) in stateful testing. - Update to 3.1.0 * Add a ‘nothing’ strategy that never successfully generates values. * sampled_from() and one_of() can both now be called with an empty argument list, in which case they also never generate any values. * one_of may now be called with a single argument that is a collection of strategies as well as as varargs. * Add a ‘runner’ strategy which returns the instance of the current test object if there is one. * ‘Bundle’ for RuleBasedStateMachine is now a normal(ish) strategy and can be used as such. * Tests using RuleBasedStateMachine should now shrink significantly better. * Hypothesis now uses a pretty-printing library internally, compatible with IPython’s pretty printing protocol (actually using the same code). This may improve the quality of output in some cases. * As a ‘phases’ setting that allows more fine grained control over which parts of the process Hypothesis runs * Add a suppress_health_check setting which allows you to turn off specific health checks in a fine grained manner. * Fix a bug where lists of non fixed size would always draw one more element than they included. This mostly didn’t matter, but if would cause problems with empty strategies or ones with side effects. * Add a mechanism to the Django model generator to allow you to explicitly request the default value (thanks to Jeremy Thurgood for this one). - Update to 3.0.5 * Fix a bug where Hypothesis would now error on py.test development versions. - Update to 3.0.4 * Fix a bug where Hypothesis would error when running on Python 2.7.3 or earlier because it was trying to pass a bytearray object to struct.unpack (which is only supported since 2.7.4). - Update to 3.0.3 * Fix version parsing of py.test to work with py.test release candidates * More general handling of the health check problem where things could fail because of a cache miss - now one “free” example is generated before the start of the health check run. - Update to 3.0.2 * Under certain circumstances, strategies involving text() buried inside some other strategy (e.g. text().filter(...) or recursive(text(), ...)) would cause a test to fail its health checks the first time it ran. This was caused by having to compute some related data and cache it to disk. On travis or anywhere else where the .hypothesis directory was recreated this would have caused the tests to fail their health check on every run. This is now fixed for all the known cases, although there could be others lurking. - Update to 3.0.1 * Fix a case where it was possible to trigger an “Unreachable” assertion when running certain flaky stateful tests. * Improve shrinking of large stateful tests by eliminating a case where it was hard to delete early steps. * Improve efficiency of drawing binary(min_size=n, max_size=n) significantly by provide a custom implementation for fixed size blocks that can bypass a lot of machinery. * Set default home directory based on the current working directory at the point Hypothesis is imported, not whenever the function first happens to be called. - Update to 3.0.0 + Externally this looks like a very small release. It has one small breaking change that probably doesn’t affect anyone at all (some behaviour that never really worked correctly is now outright forbidden) but necessitated a major version bump and one visible new feature. Internally this is a complete rewrite. Almost nothing other than the public API is the same. + New features: * Addition of data() strategy which allows you to draw arbitrary data interactively within the test. * New “exploded” database format which allows you to more easily check the example database into a source repository while supporting merging. * Better management of how examples are saved in the database. * Health checks will now raise as errors when they fail. It was too easy to have the warnings be swallowed entirely. + New limitations: * choices and streaming strategies may no longer be used with find(). Neither may data() (this is the change that necessitated a major version bump). + Feature removal: * The ForkingTestCase executor has gone away. It may return in some more working form at a later date. + Performance improvements: * A new model which allows flatmap, composite strategies and stateful testing to perform much better. They should also be more reliable. * Filtering may in some circumstances have improved significantly. This will help especially in cases where you have lots of values with individual filters on them, such as lists(x.filter(...)). * Modest performance improvements to the general test runner by avoiding expensive operations * In general your tests should have got faster. If they’ve instead got significantly slower, I’m interested in hearing about it. + Data distribution: * The data distribution should have changed significantly. This may uncover bugs the previous version missed. It may also miss bugs the previous version could have uncovered. Hypothesis is now producing less strongly correlated data than it used to, but the correlations are extended over more of the structure. + Shrinking: * Shrinking quality should have improved. In particular Hypothesis can now perform simultaneous shrinking of separate examples within a single test (previously it was only able to do this for elements of a single collection). In some cases performance will have improved, in some cases it will have got worse but generally shouldn’t have by much. - Update to 2.0.0 + This release cleans up all of the legacy that accrued in the course of Hypothesis 1.0. These are mostly things that were emitting deprecation warnings in 1.19.0, but there were a few additional changes. In particular: * non-strategy values will no longer be converted to strategies when used in given or find. * FailedHealthCheck is now an error and not a warning. * Handling of non-ascii reprs in user types have been simplified by using raw strings in more places in Python 2. * given no longer allows mixing positional and keyword arguments. * given no longer works with functions with defaults. * given no longer turns provided arguments into defaults - they will not appear in the argspec at all. * the basic() strategy no longer exists. * the n_ary_tree strategy no longer exists. * the average_list_length setting no longer exists. Note: If you’re using using recursive() this will cause you a significant slow down. You should pass explicit average_size parameters to collections in recursive calls. * @rule can no longer be applied to the same method twice. * Python 2.6 and 3.3 are no longer officially supported, although in practice they still work fine. + This also includes two non-deprecation changes: * given’s keyword arguments no longer have to be the rightmost arguments and can appear anywhere in the method signature. * The max_shrinks setting would sometimes not have been respected. - Update to 1.19.0 + This release heralds the beginning of a new and terrible age of Hypothesis 2.0. It’s primary purpose is some final deprecations prior to said release. The goal is that if your code emits no warnings under this release then it will probably run unchanged under Hypothesis 2.0 (there are some caveats to this: 2.0 will drop support for some Python versions, and if you’re using internal APIs then as usual that may break without warning). + It does have two new features: * New @seed() decorator which allows you to manually seed a test. This may be harmlessly combined with and overrides the derandomize setting. * settings objects may now be used as a decorator to fix those settings to a particular @given test. + API changes (old usage still works but is deprecated): * Settings has been renamed to settings (lower casing) in order to make the decorator usage more natural. * Functions for the storage directory that were in hypothesis.settings are now in a new hypothesis.configuration module. + Additional deprecations: * the average_list_length setting has been deprecated in favour of being explicit. * the basic() strategy has been deprecated as it is impossible to support it under a Conjecture based model, which will hopefully be implemented at some point in the 2.x series. * the n_ary_tree strategy (which was never actually part of the public API) has been deprecated. * Passing settings or random as keyword arguments to given is deprecated (use the new functionality instead) + Bug fixes: * No longer emit PendingDeprecationWarning for __iter__ and StopIteration in streaming() values. * When running in health check mode with non strict, don’t print quite so many errors for an exception in reify. * When an assumption made in a test or a filter is flaky, tests will now raise Flaky instead of UnsatisfiedAssumption. - Update to 1.18.1 + Two behind the scenes changes: * Hypothesis will no longer write generated code to the file system. This will improve performance on some systems (e.g. if you’re using PythonAnywhere which is running your code from NFS) and prevent some annoying interactions with auto-restarting systems. * Hypothesis will cache the creation of some strategies. This can significantly improve performance for code that uses flatmap or composite and thus has to instantiate strategies a lot. - Update to 1.18.0 + Features: * Tests and find are now explicitly seeded off the global random module. This means that if you nest one inside the other you will now get a health check error. It also means that you can control global randomization by seeding random. * There is a new random_module() strategy which seeds the global random module for you and handles things so that you don’t get a health check warning if you use it inside your tests. * floats() now accepts two new arguments: allow_nan and allow_infinity. These default to the old behaviour, but when set to False will do what the names suggest. + Bug fixes: * Fix a bug where tests that used text() on Python 3.4+ would not actually be deterministic even when explicitly seeded or using the derandomize mode, because generation depended on dictionary iteration order which was affected by hash randomization. * Fix a bug where with complicated strategies the timing of the initial health check could affect the seeding of the subsequent test, which would also render supposedly deterministic tests non-deterministic in some scenarios. * In some circumstances flatmap() could get confused by two structurally similar things it could generate and would produce a flaky test where the first time it produced an error but the second time it produced the other value, which was not an error. The same bug was presumably also possible in composite(). * flatmap() and composite() initial generation should now be moderately faster. This will be particularly noticeable when you have many values drawn from the same strategy in a single run, e.g. constructs like lists(s.flatmap(f)). Shrinking performance may have suffered, but this didn’t actually produce an interestingly worse result in any of the standard scenarios tested. - Update to 1.17.1 * A small bug fix release, which fixes the fact that the ‘note’ function could not be used on tests which used the @example decorator to provide explicit examples. - Update to 1.17.0 + This is actually the same release as 1.16.1, but 1.16.1 has been pulled because it contains the following additional change that was not intended to be in a patch release (it’s perfectly stable, but is a larger change that should have required a minor version bump): * Hypothesis will now perform a series of “health checks” as part of running your tests. These detect and warn about some common error conditions that people often run into which wouldn’t necessarily have caued the test to fail but would cause e.g. degraded performance or confusing results. - Update to 1.16.1 * A small bugfix release that allows bdists for Hypothesis to be built under 2.7 - the compat3.py file which had Python 3 syntax wasn’t intended to be loaded under Python 2, but when building a bdist it was. In particular this would break running setup.py test. ------------------------------------------------------------------- Wed Dec 9 10:06:43 UTC 2015 - dmueller@suse.com - update to 1.16.0: * Functions from hypothesis.strategies will no longer raise InvalidArgument on bad arguments * Errors caused by accidentally invoking the legacy API are now much less confusing * hypothesis.extra.django is 1.9 compatible. * When tests are run with max_shrinks=0 this will now still rerun the test on failure ------------------------------------------------------------------- Tue Nov 24 12:48:51 UTC 2015 - toddrme2178@gmail.com - Fix license naming. ------------------------------------------------------------------- Tue Nov 10 07:38:36 UTC 2015 - tbechtold@suse.com - Initial packaging (version 1.14.0)
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