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- Update to 6.75.2:

Browse Source 
* 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).

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-hypothesis?expand=0&rev=166
This commit is contained in:
Daniel Garcia
2023-05-10 16:33:33 +00:00
committed by Git OBS Bridge
parent 8551ff793e
commit bb19a4f556
5 changed files with 158 additions and 9 deletions
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2
_service
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@@ -2,7 +2,7 @@
<service name="tar_scm" mode="disabled">
<param name="url">https://github.com/HypothesisWorks/hypothesis.git</param>
<param name="scm">git</param>
<param name="revision">hypothesis-python-6.61.2</param>
<param name="revision">hypothesis-python-6.75.2</param>
<param name="versionformat">@PARENT_TAG@</param>
<param name="versionrewrite-pattern">hypothesis-python-(.*)</param>
<param name="subdir">hypothesis-python</param>

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hypothesis-python-6.61.2.tar.gz
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f0d01e93a1f28ec493fc64c9ba79623ba6a1c1b5c8c8cff6fb1574adcef1265b
size 780651

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hypothesis-python-6.75.2.tar.gz Normal file
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@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1c692dc124a95f31ba19e8c55444bf3638129bfc9455b686dadab93ef91186e7
size 809663

147
python-hypothesis.changes
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@@ -1,3 +1,150 @@
-------------------------------------------------------------------
Wed May 10 16:11:33 UTC 2023 - Daniel Garcia <daniel.garcia@suse.com>
- Update to 6.75.2:
* Improved the documentation regarding how to use
GitHubArtifactDatabase and fixed a bug that occurred in
repositories with no existing artifacts.
- 6.75.1
* hypothesis.errors will now raise AttributeError when attempting to
access an undefined attribute, rather than returning None.
- 6.75.0
* Sick of adding @example()s by hand? Our Pytest plugin now writes
.patch files to insert them for you, making this workflow easier
than ever before.
* Note that you’ll need LibCST (via hypothesis[codemods]), and that
@example().via() requires PEP 614 (Python 3.9 or later).
- 6.74.1
* This patch provides better error messages for datetime- and
timedelta-related invalid dtypes in our Pandas extra (issue
#3518).
- 6.74.0
* This release adds support for nullable pandas dtypes in pandas()
(issue #3604).
- 6.73.1
* This patch updates our minimum Numpy version to 1.16, and restores
compatibility with versions before 1.20, which were broken by a
mistake in Hypothesis 6.72.4 (issue #3625).
- 6.73.0
* This release upgrades the explain phase (issue #3411).
- 6.72.4
* This patch fixes type annotations for the arrays() strategy.
- 6.72.3
* This patch fixes a bug with from_type() with dict[tuple[int, int], str] (issue #3527).
- 6.72.2
* This patch refactors our internals to facilitate an upcoming feature.
- 6.72.1
* This patch fixes some documentation and prepares for future features.
- 6.72.0
* This release deprecates Healthcheck.all(), and adds a codemod to
automatically replace it with list(Healthcheck) (issue #3596).
- 6.71.0
* This release adds GitHubArtifactDatabase, a new database backend
that allows developers to access the examples found by a Github
Actions CI job. This is particularly useful for workflows that
involve continuous fuzzing, like HypoFuzz.
- 6.70.2
* This patch clarifies the reporting of time spent generating data.
A simple arithmetic mean of the percentage of time spent can be
misleading; reporting the actual time spent avoids
misunderstandings.
- 6.70.1
* This patch updates our vendored list of top-level domains, which
is used by the provisional domains() strategy.
- 6.70.0
* This release adds an optional domains= parameter to the emails()
strategy, and excludes the special-use .arpa domain from the
default strategy (issue #3567).
- 6.69.0
* This release turns HealthCheck.return_value and
HealthCheck.not_a_test_method into unconditional errors. Passing
them to suppress_health_check= is therefore a deprecated no-op.
(issue #3568).
* Separately, GraalPy can now run and pass most of the hypothesis
test suite (issue #3587).
- 6.68.3
* This patch updates our vendored list of top-level domains, which
is used by the provisional domains() strategy.
- 6.68.2
* This patch fixes missing imports of the re module, when
ghostwriting tests which include compiled patterns or regex flags.
Thanks to Jens Heinrich for reporting and promptly fixing this
bug!
- 6.68.1
* This patch adds some private hooks for use in research on
Schemathesis (see our preprint here).
- 6.68.0
* This release adds support for the Array API’s 2022.12 release via
the api_version argument in make_strategies_namespace().
Concretely this involves complex support in its existing
strategies, plus an introduced xps.complex_dtypes() strategy.
* Additionally this release now treats hypothesis.extra.array_api as
stable, meaning breaking changes should only happen with major
releases of Hypothesis.
- 6.67.1
* This patch updates our autoformatting tools, improving our code
style without any API changes.
- 6.67.0
* This release allows for more precise generation of complex numbers
using from_dtype(), by supporting the width, min_magnitude, and
min_magnitude arguments (issue #3468).
- 6.66.2
* This patch fixes a rare RecursionError when pretty-printing a
multi-line object without type-specific printer, which was passed
to a function which returned the same object by .map() or
builds() and thus recursed due to the new pretty reprs in
Hypothesis 6.65.0 - 2023-01-24 (issue #3560). Apologies to all
those affected.
- 6.66.1
* This makes from_dtype() pass through the parameter allow_subnormal
for complex dtypes.
- 6.66.0
* This release adds a width parameter to complex_numbers(),
analogously to floats().
- 6.65.2
* This patch fixes invalid annotations detected for the tests
generated by Ghostwritter. It will now correctly generate Optional
types with just one type argument and handle union expressions
inside of type arguments correctly. Additionally, it now supports
code with the from __future__ import annotations marker for Python
3.10 and newer.
- 6.65.1
* This release improves the pretty-printing of enums in falsifying
examples, so that they print as their full identifier rather than
their repr.
- 6.65.0
* Hypothesis now reports some failing inputs by showing the call
which constructed an object, rather than the repr of the object.
This can be helpful when the default repr does not include all
relevant details, and will unlock further improvements in a future
version.
* For now, we capture calls made via builds(), and via
SearchStrategy.map().
- 6.64.0
* The Ghostwritter will now include type annotations on tests for
type-annotated code. If you want to force this to happen (or not
happen), pass a boolean to the new annotate= argument to the
Python functions, or the --[no-]annotate CLI flag.
- 6.63.0
* range_indexes() now accepts a name= argument, to generate named
pandas.RangeIndex objects.
- 6.62.1
* This patch tweaks xps.arrays() internals to improve PyTorch
compatibility. Specifically, torch.full() does not accept integers
as the shape argument (n.b. technically “size” in torch), but such
behaviour is expected in internal code, so we copy the torch
module and patch in a working full() function.
- 6.62.0
* A classic error when testing is to write a test function that can
never fail, even on inputs that aren’t allowed or manually
provided.
- 6.61.3
* This patch teaches our enhanced get_type_hints() function to ‘see
through’ partial application, allowing inference from type hints
to work in a few more cases which aren’t (yet!) supported by the
standard-library version.
-------------------------------------------------------------------
Fri Apr 21 12:26:35 UTC 2023 - Dirk Müller <dmueller@suse.com>

12
python-hypothesis.spec
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@@ -37,7 +37,7 @@ ExclusiveArch: do_not_build
%endif
%{?sle15_python_module_pythons}
Name: python-hypothesis%{psuffix}
Version: 6.61.2
Version: 6.75.2
Release: 0
Summary: A library for property based testing
License: MPL-2.0
@@ -66,8 +66,8 @@ Recommends: python-click >= 7.0
Recommends: python-dpcontracts >= 0.4
Recommends: python-lark >= 0.10.1
Recommends: python-libcst >= 0.3.16
Recommends: python-numpy >= 1.9.0
Recommends: python-pandas >= 1.0
Recommends: python-numpy >= 1.16.0
Recommends: python-pandas >= 1.1
Recommends: python-pytest >= 4.6
Recommends: python-python-dateutil >= 1.4
Recommends: python-pytz >= 2014.1
@@ -82,7 +82,7 @@ BuildRequires: %{python_module hypothesis = %{version}}
%if %{with complete_tests}
BuildRequires: %{python_module Django >= 3.2}
BuildRequires: %{python_module fakeredis}
BuildRequires: %{python_module pandas >= 1.0}
BuildRequires: %{python_module pandas >= 1.1}
%endif
BuildRequires: %{python_module backports.zoneinfo >= 0.2.1 if %python-base < 3.9}
BuildRequires: %{python_module black >= 19.10}
@@ -91,7 +91,7 @@ BuildRequires: %{python_module dpcontracts >= 0.4}
BuildRequires: %{python_module flaky}
BuildRequires: %{python_module lark >= 0.10.1}
BuildRequires: %{python_module libcst >= 0.3.16}
BuildRequires: %{python_module numpy >= 1.9.0}
BuildRequires: %{python_module numpy >= 1.16.0}
BuildRequires: %{python_module pexpect}
BuildRequires: %{python_module pytest >= 4.6}
BuildRequires: %{python_module pytest-xdist}
@@ -147,6 +147,8 @@ sed -i 's/assert (arr == 0.0)/assert np.asarray(arr == 0.0)/' tests/numpy/test_g
# https://github.com/HypothesisWorks/hypothesis/issues/2546
donttest="test_updating_the_file_include_new_shrinkers"
donttest+=" or test_can_learn_to_normalize_the_unnormalized"
# Fail because
donttest+=" or test_ghostwriter_on_hypothesis"
# adapted from pytest.ini in github repo toplevel dir (above hypothesis-python)
echo '[pytest]
addopts=