Name: python311-hypothesis	Distribution: SUSE Linux Framework One
Version: 6.119.1	Vendor: SUSE LLC <https://www.suse.com/>
Release: slfo.1.1.1	Build date: Mon Nov 25 21:20:07 2024
Group: Unspecified	Build host: reproducible
Size: 4978177	Source RPM: python-hypothesis-6.119.1-slfo.1.1.1.src.rpm
Packager: https://www.suse.com/
Url: https://github.com/HypothesisWorks/hypothesis
Summary: A library for property based testing

Hypothesis is a family of testing libraries which let you write tests parametrized
by a source of examples. A Hypothesis implementation then generates simple and
comprehensible examples that make your tests fail. This simplifies writing your
tests and makes them more powerful at the same time, by letting software automate
the boring bits and do them to a higher standard than a human would, freeing you
to focus on the higher level test logic.

This sort of testing is often called "property-based testing", and the most widely
known implementation of the concept is the Haskell library QuickCheck, but
Hypothesis differs significantly from QuickCheck and is designed to fit idiomatically
and easily into existing styles of testing that you are used to, with absolutely no
familiarity with Haskell or functional programming needed.

Provides

Requires

License

MPL-2.0

Changelog

* Mon Nov 25 2024 [email protected]
- Skip tests matching `test_adds_note_showing_which_strategy`
(gh#HypothesisWorks/hypothesis#4185).
- Add missing BR: rich.
* Sat Nov 16 2024 [email protected]
- Update to 6.119.1
- This patch migrates some more internals (around generating
novel inputs) to the IR layer (issue #3921).
- Update to 6.119.0
- This release improves Hypothesis’ handling of ExceptionGroup
- it’s now able to detect marker detections if they’re inside
a group and attempts to resolve them. Note that this handling
is still a work in progress and might not handle edge cases
optimally. Please open issues if you encounter any problems
or unexpected behavior with it.
- Update to 6.118.9
- Internal refactorings in preparation for upcoming changes.
- Update to 6.118.8
- Internal renamings.
- Update to 6.118.7
- This patch removes some # type: ignore comments following a
mypy update.
- Update to 6.118.6
- When Hypothesis replays examples from its test database that
it knows were previously fully shrunk it will no longer try
to shrink them again.
- This should significantly speed up development workflows for
slow tests, as the shrinking could contribute a significant
delay when rerunning the tests.
- In some rare cases this may cause minor reductions in example
quality. This was considered an acceptable tradeoff for the
improved test runtime.
- Update to 6.118.5
- This patch avoids computing some string representations we
won’t need, giving a small speedup (part of issue #4139).
- Update to 6.118.4
- This patch migrates the optimisation algorithm for
targeted property-based testing to our IR layer (issue
[#3921]). This should result in moderately different (and
hopefully improved) exploration behavior in tests which use
hypothesis.target().
- Update to 6.118.3
- This patch adds more type hints to internal Hypothesis code.
- Update to 6.118.2
- This patch migrates the explain phase to our IR layer (issue
[#3921]). This should improve both its speed and precision.
- Update to 6.118.1
- This patch updates some internals around how we determine an
input is too large to finish generating.
- Update to 6.118.0
- The urls() strategy no longer generates URLs where the port
number is 0.
- This change is motivated by the idea that the generated URLs
should, at least in theory, be possible to fetch. The port
number 0 is special; if a server binds to port 0, the kernel
will allocate an unused, and non-zero, port instead. That
means that it’s not possible for a server to actually be
listening on port 0. This motivation is briefly described in
the documentation for urls().
- Fixes issue #4157.
- Thanks to @gmacon for this contribution!
- Update to 6.117.0
- This changes the behaviour of settings profiles so that
if you reregister the currently loaded profile it will
automatically reload it. Previously you would have had to
load it again.
- In particular this means that if you register a “ci” profile,
it will automatically be used when Hypothesis detects you are
running on CI.
- Update to 6.116.0
- Hypothesis now detects if it is running on a CI server and
provides better default settings for running on CI in this
case.
- Update to 6.115.6
- This patch changes the priority order of pretty printing
logic so that a user provided pretty printing method will
always be used in preference to e.g. printing it like a
dataclass.
- Update to 6.115.5
- This patch restores diversity to the outputs of
from_type(type) (issue #4144).
- Update to 6.115.4
- This release improves pretty printing of nested classes to
include the outer class name in their printed representation.
- Update to 6.115.3
- This patch fixes a regression from version 6.115.2 where
generating values from integers() with certain values for
min_value and max_value would error.
- Require numpy >= 2.
* Wed Oct 23 2024 [email protected]
- Update to 6.115.3
* This patch fixes a regression from :ref:`version 6.115.2 <v6.115.2>` where
generating values from :func:`~hypothesis.strategies.integers` with certain
values for ``min_value`` and ``max_value`` would error.
- from version 6.115.2
* This release improves integer shrinking by folding the endpoint upweighting
for :func:`~hypothesis.strategies.integers` into the ``weights`` parameter
of our IR.
If you maintain an alternative backend as part of our (for now explicitly
unstable) :ref:`alternative-backends`, this release changes the type of the
``weights`` parameter to ``draw_integer`` and may be a breaking change for you.
- from version 6.115.1
* This patch improves the performance of :func:`~hypothesis.strategies.from_type`
with `pydantic.types.condate
- from version 6.115.0
* This improves the formatting of dataclasses and attrs classes when printing
falsifying examples.
- from version 6.114.1
* This patch upgrades remaining type annotations to Python 3.9 syntax.
- from version 6.114.0
* This release drops support for Python 3.8, which reached end of life on
2024-10-07.
- from version 6.113.0
* This release adds ``hypothesis.errors.BackendCannotProceed``, an unstable API
for use by :ref:`alternative-backends`.
- from version 6.112.5
* This release fixes a regression where :class:`hypothesis.stateful.Bundle` did
not work properly with :ref:`flatmap <flatmap>` functionality.
- from version 6.112.4
* This patch tweaks the paths in ``@example(...)`` patches, so that
both ``git apply`` and ``patch`` will work by default.
- from version 6.112.3
* This release refactors internals of :class:`hypothesis.stateful.Bundle`
to have a more consistent representation internally.
- Remove trailing spaces before newlines in _service file
- Update BuildRequires and Requires from setup.py
* Tue Oct 08 2024 [email protected]
- Update to 6.112.2
* removes a now-incorrect internal assertion about numpy’s typing
after recent numpy changes
* fixes an internal error when the __context__ attribute of a raised
exception leads to a cycle
* Fri Sep 06 2024 [email protected]
- Update to 6.112.0
* This release adds support for variable-width bytes in our IR
layer (issue #3921), which should mean improved performance
anywhere you use binary(). If you maintain an alternative
backend as part of our (for now explicitly unstable)
Alternative backends for Hypothesis, this release changes the
draw_* interface and may be a breaking change for you.
* Wed Aug 21 2024 [email protected]
- Update to 6.111.1
* This patch improves shrinking in cases involving 'slips' from one
strategy to another. Highly composite strategies are the most likely
to benefit from this change.
* This patch also reduces the range of :class:`python:datetime.datetime`
generated by :func:`~hypothesis.extra.django.from_model` in order to
avoid https://code.djangoproject.com/ticket/35683.
- Drop 0001-Revert-Use-tmp_path-in-ghostwriter-test.patch
* included upstream
* Wed Jul 31 2024 [email protected]
- Update to 6.108.5
* The alphabet= argument to from_regex() now accepts unions of characters()
and sampled_from() strategies, in addition to accepting each individually.
* Improves support for unions of numpy dtypes such as np.float64 | np.complex128
in from_type() and arrays()
* Support for Django 5.0, drop support for end-of-life Django versions (< 4.2).
* Migrate the shrinker to our new internal representation, called the IR layer.
This improves the shrinker’s performance in the majority of cases. For example,
on the Hypothesis test suite, shrinking is a median of 1.38x faster.
* The from_dtype() function no longer generates NaT (“not-a-time”) values for the
datetime64 or timedelta64 dtypes if passed allow_nan=False
* Add the experimental and unstable backend setting. See documentation for details.
* Many more minor changes, see the upstream changelog.
- Add 0001-Revert-Use-tmp_path-in-ghostwriter-tests.patch to fix tests
* https://github.com/HypothesisWorks/hypothesis/issues/4062
* Mon Jul 29 2024 [email protected]
- Disable complete tests for non-tumbleweed to avoid python-pandas
requirement
* Fri Mar 15 2024 [email protected]
- Clean up the SPEC file
* Thu Feb 22 2024 [email protected]
- Update to 6.98.9
* Avoid creating a .hypothesis directory when using register_type_strategy().
* Add ability to pass any object to note().
* Warn when constructing a repr that is overly long.
* Change the distribution of sampled_from() when sampling from a Flag.
* Deprecate use of the global random number generator while drawing from a strategy.
* Improve our distribution of generated values for all strategies.
* Improve the Ghostwriter for binary operators.
* Wed Jan 24 2024 [email protected]
- Update to 6.93.2:
* This patch improves observability reports by moving timing
information from metadata to a new timing key, and supporting
conversion of additional argument types to json rather than
string reprs via a .to_json() method
(including e.g. Pandas dataframes).
* Sat Jan 06 2024 [email protected]
- update to 6.92.2:
* updates vendored list of top-level domains
* Wed Dec 27 2023 [email protected]
- update to 6.92.1:
* This release adds an experimental :wikipedia:`observability
* This patch fixes an issue where
:func:`~hypothesis.strategies.builds` could not be used with
:pypi:`attrs` objects that defined private attributes (i.e.
attributes with a leading underscore). See also
* This release adds an optional ``payload`` argument to
:func:`hypothesis.event`, so that you can clearly express
the difference between the label and the value of an
observation.
* This patch supports assigning ``settings = settings(...)`` as
a class attribute on a subclass of a ``.TestCase`` attribute
of a :class:`~hypothesis.stateful.RuleBasedStateMachine`.
* This release makes it an error to assign ``settings =
settings(...)`` as a class attribute on a
:class:`~hypothesis.stateful.RuleBasedStateMachine`.
* This patch refactors some internals. There is no user-
visible change, but we hope to improve performance and unlock
support for alternative backends such as :pypi:`symbolic
execution with crosshair in future (:issue:`3086`).
* This release teaches :func:`~hypothesis.strategies.from_type`
to handle constraints implied by the :pypi:`annotated-types`
package - as used by e.g. :pypi:`Pydantic`.
* This patch adds a warning when :func:`@st.composite
wraps a function annotated as returning a
:class:`~hypothesis.strategies.SearchStrategy`,
since this is usually an error (:issue:`3786`).
* This patch refactors ``from_type(typing.Tuple)``, allowing
:func:`~hypothesis.strategies.register_type_strategy` to take
effect for tuples instead of being silently ignored
* This patch improves the speed of the explain phase on python
3.12+, by using the new :mod:`sys.monitoring` module to collect
coverage, instead of :obj:`sys.settrace`.
* Wed Nov 01 2023 [email protected]
- Update to 6.88.1
* improves :func:`~hypothesis.strategies.register_type_strategy` when
used with tuple subclasses, by preventing them from being interpreted
as generic and provided to strategies like st.from_type(Sequence[int])
* Mon Oct 16 2023 [email protected]
- Update to 6.88.0
- disable flaky test
* This release allows strategy-generating functions registered
with register_type_strategy() to conditionally not return
a strategy, by returning NotImplemented
* When randoms( was called with use_true_randoms=False,
calling sample on it with an empty sequence and 0 elements
would result in an error, when it should have returned
an empty sequence to agree with the normal behaviour of
random.Random. This fixes that discrepancy.)
* Wed Oct 11 2023 [email protected]
- Update to 6.87.3
* This patch ensures that the :ref:`hypothesis codemod <codemods>`
CLI will print a warning instead of stopping with an internal error
if one of your files contains invalid syntax (:issue:`3759`).
* This patch makes some small changes to our NumPy integration
to ensure forward compatibility.
* Fixes :issue:`3755`, where an internal condition turns out to be
reachable after all.
* This release deprecates use of :func:`~hypothesis.assume`
and reject() outside of property-based tests, because these functions
work by raising a special exception (:issue:`3743`).
It also fixes some type annotations (:issue:`3753`).
* Hotfix for :issue:`3747`, a bug in explain mode which is so rare
that we missed it in six months of dogfooding. Thanks to :pypi:`mygrad`
for discovering and promptly reporting this!
* This patch improves the documentation of
:obj:`@example(...).xfail() <hypothesis.example.xfail>` by adding a note
about PEP 614, similar to :obj:`@example(...).via() <hypothesis.example.via>`,
and adds a warning when a strategy generates a test case which
seems identical to one provided by an xfailed example.
* This release enables the :obj:`~hypothesis.Phase.explain`
:ref:`phase <phases>` by default. We hope it helps you to understand
why your failing tests have failed!
* This patch switches some of our type annotations to use
:obj:`typing.Literal` when only a few specific values are allowed,
such as UUID or IP address versions.
* This release deprecates the old whitelist/blacklist arguments to
:func:`~hypothesis.strategies.characters`, in favor of include/exclude
arguments which more clearly describe their effects on the set
of characters which can be generated.
* You can :ref:`use Hypothesis' codemods <codemods>` to automatically
upgrade to the new argument names. In a future version, the old names
will start to raise a DeprecationWarning.
* This patch automatically disables the
:obj:`~hypothesis.HealthCheck.differing_executors` health check
for methods which are also pytest parametrized tests, because those
were mostly false alarms (:issue:`3733`).
* Building on recent releases, :func:`~hypothesis.strategies.characters`
now accepts _any_ codec=, not just "utf-8" and "ascii".
* This includes standard codecs from the :mod:`codecs` module and their aliases,
platform specific and user-registered codecs if they are available,
and python-specific text encodings (but not text transforms or binary transforms).
* This patch by Reagan Lee makes st.text(...).filter(str.isidentifier)
return an efficient custom strategy (:issue:`3480`).
* The :func:`~hypothesis.strategies.from_regex` strategy now takes an optional
alphabet=characters(codec="utf-8") argument for unicode strings,
like :func:`~hypothesis.strategies.text`.
* This offers more and more-consistent control over the generated strings,
removing previously-hard-coded limitations. With fullmatch=False and alphabet=characters(),
surrogate characters are now possible in leading and trailing text as well as the body
of the match. Negated character classes such as [^A-Z] or \S had a hard-coded
exclusion of control characters and surrogate characters; now they permit
anything in alphabet= consistent with the class, and control characters
are permitted by default.
* Add a health check that detects if the same test is executed several times
by :ref:`different executors<custom-function-execution>`. This can lead
to difficult-to-debug problems such as :issue:`3446`.
* Pretty-printing of failing examples can now use functions registered with
:func:`IPython.lib.pretty.for_type` or :func:`~IPython.lib.pretty.for_type_by_name`,
as well as restoring compatibility with _repr_pretty_ callback methods which were
accidentally broken in :ref:`version 6.61.2 <v6.61.2>` (:issue:`3721`).
* Adds a new codec= option in :func:`~hypothesis.strategies.characters`,
making it convenient to produce only characters which can be encoded
as ascii or utf-8 bytestrings.
* Tue Aug 29 2023 [email protected]
- Update to 6.82.7
* This patch updates our autoformatting tools, improving our code
style without any API changes.
- Release 6.82.6
* This patch enables and fixes many more of ruff‘s lint rules.
- Release 6.82.5
* Fixes the error message for missing [cli] extra.
- Use slow 'obs' profile for testing and disable healthcheck
tests because of it.
* Mon Aug 14 2023 [email protected]
- update to 6.82.4:
* This patch ensures that we always close the download
connection in :class:`~hypothesis.database.GitHubArtifactDatabase`.
* We can now pretty-print combinations of *zero*
:class:`enum.Flag` values, like ``SomeFlag(0)``,
which has never worked before.
* This patch fixes pretty-printing of combinations of
:class:`enum.Flag` values, which was previously an error
(:issue:`3709`).
* Improve shrinking of floats in narrow regions that don't
cross an integer boundary. Closes :issue:`3357`.
* :func:`~hypothesis.strategies.from_regex` now supports the
atomic grouping (``(?>...)``) and possessive quantifier
(``*+``, ``++``, ``?+``, ``{m,n}+``) syntax `added in Python 3.11
* If the :envvar:`HYPOTHESIS_NO_PLUGINS` environment variable
is set, we'll avoid :ref:`loading plugins <entry-points>`
such as `the old Pydantic integration
* Fixes some lingering issues with inference of recursive types
* in `~hypothesis.strategies.from_type`. Closes :issue:`3525`.
* This release drops support for Python 3.7, `which reached end
of life on 2023-06-27
* Fixes occasional recursion-limit-exceeded errors when
validating deeply nested strategies. Closes: :issue:`3671`
* Improve the type rendered in
:func:`~hypothesis.strategies.from_type`, which improves the
coverage of Ghostwriter.
* This patch improves Ghostwriter's use of qualified names for
re-exported functions and classes, and avoids importing useless
:obj:`~typing.TypeVar`\ s.
* This patch updates our vendored `list of top-level domains
will raise an error rather than hanging indefinitely if
passed invalid ``max_leaves=`` arguments.
* Warn in :func:`~hypothesis.strategies.from_type` if the
inferred strategy has no variation (always returning default
instances). Also handles numpy data types by calling
:func:`~hypothesis.extra.numpy.from_dtype` on the
corresponding dtype, thus ensuring proper variation for these
types.
* :func:`~hypothesis.strategies.from_type` now works in cases
where we use :func:`~hypothesis.strategies.builds` to create
an instance and the constructor has an argument which would lead
to recursion. Previously, this would raise an error if the
argument had a default value.
* In preparation for supporting JAX in
:ref:`hypothesis.extra.array_api <array-api>`,
this release supports immutable arrays being generated via
:func:`xps.arrays`.
* and adds automatic support for writing
``@hypothesis.example()`` or ``@example()``
depending on the current style in your test file - defaulting
to the latter.
* This patch updates our linter stack to use :pypi:`ruff`, and
fixes some previously-ignored lints.
* Hypothesis will now record an event for more cases where data
is marked invalid, including for exceeding the internal depth
limit.
* Sun May 14 2023 [email protected]
- 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 2023 [email protected]
- 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 2023 [email protected]
- add sle15_python_module_pythons (jsc#PED-68)
* Thu Apr 13 2023 [email protected]
- Make calling of %{sle15modernpython} optional.
* Fri Feb 17 2023 [email protected]
- Limit dependencies for tests on older distributions
(particularly do not depend on Django, Pandas, and fakeredis
and Redis).
* Sat Jan 07 2023 [email protected]
- 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 2022 [email protected]
- 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 2022 [email protected]
- 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 09 2022 [email protected]
- 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 2022 [email protected]
- 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 2022 [email protected]
- 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 2022 [email protected]
- Correct exclusion of test_recursion_error_is_not_flaky for 3.10.
* Mon Jan 10 2022 [email protected]
- 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 2021 [email protected]
- 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 06 2021 [email protected]
- fix requires
* Mon Dec 06 2021 [email protected]
- Fix filelist
* Sun Dec 05 2021 [email protected]
- version 6.30.1
some tests skipped for python 3.6
* Sat Dec 04 2021 [email protected]
- update 6.30.0
tests/test_api disabled as recommended
https://github.com/HypothesisWorks/hypothesis/issues/3178
* Sat Oct 23 2021 [email protected]
- update to 6.24.0
* Mon Jul 05 2021 [email protected]
- Update to 6.14.1
* Full changelog since 6.8.1:
https://hypothesis.readthedocs.io/en/latest/changes.html
* Sat Mar 20 2021 [email protected]
- 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 2020 [email protected]
- 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 2020 [email protected]
- 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 2020 [email protected]
- 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 2020 [email protected]
- 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 08 2020 [email protected]
- 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 02 2020 [email protected]
- 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 2020 [email protected]
- Add failing-test_array_values_are_unique_high_collision.patch
to avoid failing test on i586 (gh#HypothesisWorks/hypothesis#2447)
* Sat May 09 2020 [email protected]
- 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 2020 [email protected]
- 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 09 2020 [email protected]
- 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 2019 [email protected]
- 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 07 2019 [email protected]
- 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 2019 [email protected]
- 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 2019 [email protected]
- update to version 4.40.2
* Type hints improved
* Performance improved
* Array indexing improved
* **experimental** support for targeted property-based testing
* Sun Aug 25 2019 [email protected]
- 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 04 2019 [email protected]
- 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 2019 [email protected]
- 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 2019 [email protected]
- Update to 4.28.2:
* Various bugfixes and deprecations all around
* Sat Jun 08 2019 [email protected]
- 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 06 2019 [email protected]
- 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 2019 [email protected]
- 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 07 2019 [email protected]
- Remove pandas dependency to make ring1 more happy
- Update to 4.22.0:
* Various small tweaks only
* Mon May 06 2019 [email protected]
- More love for the tests to make sure we execute and run them
+ skip/remove the obvious failures that are irelevant
* Tue Apr 30 2019 [email protected]
- 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 2019 [email protected]
- 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 2019 [email protected]
- 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 2019 [email protected]
- 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 2018 [email protected]
- Move name ahead of version in spec file to resolve build issues
on older distributions
* Sat Dec 08 2018 [email protected]
- 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 01 2018 [email protected]
- 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 2018 [email protected]
- 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 2018 [email protected]
- 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 2018 [email protected]
- 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 09 2018 [email protected]
- Add multibuild to allow running tests.
* Sat Sep 08 2018 [email protected]
- 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 05 2018 [email protected]
- Precompile Python files to avoid troubles with mtime and magic values.
* Tue Sep 04 2018 [email protected]
- Clean up SPEC
- Add %check section, but make it disabled per default (circular
dependency on pytest)
* Fri Aug 31 2018 [email protected]
- Drop the pytest-xdist dependency to build on Leap 42.3, as it
does not run tests it was quite pointless
* Mon Jul 23 2018 [email protected]
- 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 2018 [email protected]
- 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 2018 [email protected]
- update to version 3.66.4:
* This release improves the shrinker’s ability to reorder examples.
* Thu Jul 12 2018 [email protected]
- 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 07 2018 [email protected]
- 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 06 2018 [email protected]
- remove redundant pythons buildrequire
* Sun Jul 01 2018 [email protected]
- 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 2018 [email protected]
- 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 04 2018 [email protected]
- Use github source archive as recommended by upstream.
- Remove unneeded python-hypothesis-build.patch
* Thu May 31 2018 [email protected]
- 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 06 2018 [email protected]
- Allows Recommends and Suggest in Fedora
* Fri Mar 02 2018 [email protected]
- fix deps for setuptools
* Tue Feb 27 2018 [email protected]
- Recommends only for SUSE
* Fri Feb 23 2018 [email protected]
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 2018 [email protected]
- Condition py2 only dependencies so we do not pull them on py3
only scenario
* Wed Jan 17 2018 [email protected]
- 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 06 2018 [email protected]
- 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 06 2018 [email protected]
- 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 04 2018 [email protected]
- 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 03 2018 [email protected]
- 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 03 2018 [email protected]
- Disable the tests as it is too flaky to be reliable
* Sun Dec 31 2017 [email protected]
- 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 2017 [email protected]
- 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 2017 [email protected]
- 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 2017 [email protected]
- Add patch python-hypothesis-build.patch
to fix Factory build error
* Thu Dec 14 2017 [email protected]
- 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 2017 [email protected]
- 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 09 2017 [email protected]
- 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 07 2017 [email protected]
- 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 06 2017 [email protected]
- 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 2017 [email protected]
- 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 2017 [email protected]
- 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 2017 [email protected]
- 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 2017 [email protected]
- 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 2017 [email protected]
- 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 2017 [email protected]
- 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 07 2017 [email protected]
- 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 04 2017 [email protected]
- update to version 3.34.1:
* This patch updates the documentation to suggest builds(callable)
instead of just(callable()).
* Fri Nov 03 2017 [email protected]
- 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 2017 [email protected]
- 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 2017 [email protected]
- 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 09 2017 [email protected]
- 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 06 2017 [email protected]
- 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 05 2017 [email protected]
- Add python-attrs and python-coverage requires, matching the info
of setup.py.
* Tue Oct 03 2017 [email protected]
- update to version 3.31.2:
* long list of updates, see
https://hypothesis.readthedocs.io/en/latest/changes.html
* Mon Jul 10 2017 [email protected]
- Ensure neutrality of description.
* Thu Jun 29 2017 [email protected]
- 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 2017 [email protected]
- 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 2016 [email protected]
- Fix download URL.
* Mon May 09 2016 [email protected]
- 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 09 2015 [email protected]
- 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 2015 [email protected]
- Fix license naming.
* Tue Nov 10 2015 [email protected]
- Initial packaging (version 1.14.0)

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/usr/lib/python3.11/site-packages/hypothesis/version.py
/usr/share/doc/packages/python311-hypothesis
/usr/share/doc/packages/python311-hypothesis/README.rst
/usr/share/licenses/python311-hypothesis
/usr/share/licenses/python311-hypothesis/LICENSE.txt

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Fabrice Bellet, Wed Dec 11 23:31:25 2024

python311-hypothesis-6.119.1-slfo.1.1.1 RPM for noarch

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