Sync from SUSE:SLFO:Main python-wrapt revision 1af80e64490925e8b522842dd59901a6
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.gitattributes
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## Default LFS
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.bsp filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.gem filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.jar filter=lfs diff=lfs merge=lfs -text
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*.lz filter=lfs diff=lfs merge=lfs -text
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*.lzma filter=lfs diff=lfs merge=lfs -text
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*.obscpio filter=lfs diff=lfs merge=lfs -text
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*.oxt filter=lfs diff=lfs merge=lfs -text
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*.pdf filter=lfs diff=lfs merge=lfs -text
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*.png filter=lfs diff=lfs merge=lfs -text
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*.rpm filter=lfs diff=lfs merge=lfs -text
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*.tbz filter=lfs diff=lfs merge=lfs -text
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*.tbz2 filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.ttf filter=lfs diff=lfs merge=lfs -text
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*.txz filter=lfs diff=lfs merge=lfs -text
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*.whl filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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BIN
1.15.0.tar.gz
(Stored with Git LFS)
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BIN
1.15.0.tar.gz
(Stored with Git LFS)
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197
python-wrapt.changes
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python-wrapt.changes
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-------------------------------------------------------------------
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Thu May 4 20:43:27 UTC 2023 - Dirk Müller <dmueller@suse.com>
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- update to 1.15.0:
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* When the C extension for wrapt was being used, and a property
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was used on an object proxy wrapping another object to intercept
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access to an attribute of the same name on the wrapped object,
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if the function implementing the property
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raised an exception, then the exception was ignored and not
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propagated back to the caller.
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* Address issue where the post import hook mechanism of wrapt
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wasn't transparent and left the __loader__ and __spec__.loader
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attributes of a module as the wrapt import hook loader and
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not the original loader.
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* Address issues where a thread deadlock could occur within the
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wrapt module import handler, when code executed from a post
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import hook created a new thread and code executed in the
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context of the new thread itself tried to register a post
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import hook, or imported a new module.
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* When using ``CallableObjectProxy`` as a wrapper for a type or
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function and calling the wrapped object, it was not possible
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to pass a keyword argument named ``self``.
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-------------------------------------------------------------------
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Fri Apr 21 12:38:55 UTC 2023 - Dirk Müller <dmueller@suse.com>
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- add sle15_python_module_pythons (jsc#PED-68)
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-------------------------------------------------------------------
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Thu Apr 13 22:45:59 UTC 2023 - Matej Cepl <mcepl@suse.com>
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- Make calling of %{sle15modernpython} optional.
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-------------------------------------------------------------------
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Sat Oct 1 14:04:50 UTC 2022 - Dirk Müller <dmueller@suse.com>
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- update to 1.14.1:
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* When the post import hooks mechanism was being used, and a Python package with
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its own custom module importer was used, importing modules could fail if the
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custom module importer didn't use the latest Python import hook finder/loader
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APIs and instead used the deprecated API. This was actually occurring with the
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`zipimporter` in Python itself, which was not updated to use the newer Python
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APIs until Python 3.10.
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**Bugs Fixed**
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* Python 3.11 dropped ``inspect.formatargspec()`` which was used in creating
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signature changing decorators. Now bundling a version of this function
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which uses ``Parameter`` and ``Signature`` from ``inspect`` module when
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available. The replacement function is exposed as ``wrapt.formatargspec()``
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if need it for your own code.
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* When using a decorator on a class, ``isinstance()`` checks wouldn't previously
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work as expected and you had to manually use ``Type.__wrapped__`` to access
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the real type when doing instance checks. The ``__instancecheck__`` hook is
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now implemented such that you don't have to use ``Type.__wrapped__`` instead
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of ``Type`` as last argument to ``isinstance()``.
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* Eliminated deprecation warnings related to Python module import system, which
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would have turned into broken code in Python 3.12. This was used by the post
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import hook mechanism.
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-------------------------------------------------------------------
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Sat Nov 6 18:18:03 UTC 2021 - Dirk Müller <dmueller@suse.com>
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- update to 1.13.3:
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* Adds wheels for Python 3.10 on PyPi and where possible also now
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generating binary wheels for ``musllinux``.
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-------------------------------------------------------------------
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Tue Oct 26 21:13:04 UTC 2021 - Dirk Müller <dmueller@suse.com>
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- update to 1.13.2:
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* Note that the next signficant release of `wrapt` will drop support for
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Python 2.7 and Python 3.5.
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* Fix Python version constraint so PyPi classifier for ``pip`` requires
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Python 2.7 or Python 3.5+.
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* When a reference to a class method was taken out of a class, and then
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wrapped in a function wrapper, and called, the class type was not being
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passed as the instance argument, but as the first argument in args,
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with the instance being ``None``. The class type should have been passed
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as the instance argument.
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* If supplying an adapter function for a signature changing decorator
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using input in the form of a function argument specification, name lookup
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exceptions would occur where the adaptor function had annotations which
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referenced non builtin Python types. Although the issues have been
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addressed where using input data in the format usually returned by
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``inspect.getfullargspec()`` to pass the function argument specification,
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you can still have problems when supplying a function signature as
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string. In the latter case only Python builtin types can be referenced
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in annotations.
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* When a decorator was applied on top of a data/non-data descriptor in a
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class definition, the call to the special method ``__set_name__()`` to
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notify the descriptor of the variable name was not being propogated. Note
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that this issue has been addressed in the ``FunctionWrapper`` used by
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``@wrapt.decorator`` but has not been applied to the generic
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``ObjectProxy`` class. If using ``ObjectProxy`` directly to construct a
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custom wrapper which is applied to a descriptor, you will need to
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propogate the ``__set_name__()`` call yourself if required.
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* The ``issubclass()`` builtin method would give incorrect results when used
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with a class which had a decorator applied to it. Note that this has only
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been able to be fixed for Python 3.7+. Also, due to what is arguably a
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bug (https://bugs.python.org/issue44847) in the Python standard library,
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you will still have problems when the class heirarchy uses a base class
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which has the ``abc.ABCMeta`` metaclass. In this later case an exception
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will be raised of ``TypeError: issubclass() arg 1 must be a class``.
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- drop fix-dummy-collector-pytest6.patch, wrapt-pr161-py39tests.patch (upstream)
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-------------------------------------------------------------------
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Sat Mar 20 16:50:08 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Fix python39 test suite failures
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* wrapt-pr161-py39tests.patch
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* gh#GrahamDumpleton/wrapt#161
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-------------------------------------------------------------------
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Fri Dec 4 00:37:53 UTC 2020 - Benjamin Greiner <code@bnavigator.de>
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- Fix python3.6 build with pytest 6
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* fix-dummy-collector-pytest6.patch
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* gh#GrahamDumpleton/wrapt#168
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-------------------------------------------------------------------
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Mon Mar 16 11:01:55 UTC 2020 - Dirk Mueller <dmueller@suse.com>
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- update to 1.12.1:
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* Applying a function wrapper to a static method of a class using the
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``wrap_function_wrapper()`` function, or wrapper for the same, wasn't
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being done correctly when the static method was the immediate child of
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the target object. It was working when the name path had multiple name
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components. A failure would subsequently occur when the static method
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was called via an instance of the class, rather than the class.
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-------------------------------------------------------------------
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Mon Mar 9 16:25:43 UTC 2020 - Dirk Mueller <dmueller@suse.com>
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- update to 1.12.0:
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* Provided that you only want to support Python 3.7, when deriving from
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a base class which has a decorator applied to it, you no longer need
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to access the true type of the base class using ``__wrapped__`` in
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the inherited class list of the derived class.
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* When using the ``synchronized`` decorator on instance methods of a
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class, if the class declared special methods to override the result for
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when the class instance was tested as a boolean so that it returned
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``False`` all the time, the synchronized method would fail when called.
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* When using an adapter function to change the signature of the decorated
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function, ``inspect.signature()`` was returning the wrong signature
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when an instance method was inspected by accessing the method via the
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class type.
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-------------------------------------------------------------------
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Mon Jul 22 11:37:01 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
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- Update to 1.11.2:
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* Fix possible crash when garbage collection kicks in when invoking a destructor of wrapped object.
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-------------------------------------------------------------------
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Mon Mar 11 13:28:24 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
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- Update to 1.11.1:
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* Many bugfixes all around
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* see changes.rst for detailed list
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- Switch to github to include tests
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-------------------------------------------------------------------
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Sun Jul 9 10:26:29 UTC 2017 - adrian@suse.de
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- update to version 1.10.10:
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* Added back missing description and categorisations when releasing
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to PyPi.
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* Code for inspect.getargspec() when using Python 2.6 was missing
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import of sys module.
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-------------------------------------------------------------------
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Mon Feb 27 13:54:07 UTC 2017 - jmatejek@suse.com
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- update for singlespec
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-------------------------------------------------------------------
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Thu Sep 1 05:30:31 UTC 2016 - tbechtold@suse.com
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update to version 1.10.8
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* Increment version to 1.10.8.
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* Fix modulo operator on ObjectProxy
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* Increment version to 1.10.7.
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* Document mod operator bug in Python variant of object proxy.
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* Update copyright year.
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* Fix tests for floordiv and mod.
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* Remove reference to inspect.getargspec() as removed in Python 3.6. #64
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- Use pypi.io as Source url
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-------------------------------------------------------------------
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Tue Feb 16 08:25:35 UTC 2016 - michael@stroeder.com
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- update to 1.10.6
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-------------------------------------------------------------------
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Tue Nov 4 16:03:54 UTC 2014 - hpj@urpla.net
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- version 1.9: initial build
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81
python-wrapt.spec
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81
python-wrapt.spec
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#
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# spec file for package python-wrapt
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#
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# Copyright (c) 2023 SUSE LLC
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# Copyright (c) 2015 LISA GmbH, Bingen, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%{?sle15_python_module_pythons}
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Name: python-wrapt
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Version: 1.15.0
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Release: 0
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Summary: A Python module for decorators, wrappers and monkey patching
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License: BSD-2-Clause
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Group: Development/Languages/Python
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URL: https://github.com/GrahamDumpleton/wrapt
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Source: https://github.com/GrahamDumpleton/wrapt/archive/%{version}.tar.gz
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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%python_subpackages
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%description
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The aim of the **wrapt** module is to provide a transparent object proxy
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for Python, which can be used as the basis for the construction of function
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wrappers and decorator functions.
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The **wrapt** module focuses very much on correctness. It therefore goes
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way beyond existing mechanisms such as ``functools.wraps()`` to ensure that
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decorators preserve introspectability, signatures, type checking abilities
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etc. The decorators that can be constructed using this module will work in
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far more scenarios than typical decorators and provide more predictable and
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consistent behaviour.
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To ensure that the overhead is as minimal as possible, a C extension module
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is used for performance critical components. An automatic fallback to a
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pure Python implementation is also provided where a target system does not
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have a compiler to allow the C extension to be compiled.
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Documentation
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-------------
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For further information on the **wrapt** module see:
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* http://wrapt.readthedocs.org/
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%prep
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%autosetup -p1 -n wrapt-%{version}
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%build
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export CFLAGS="%{optflags}"
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitearch}
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%check
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%pytest_arch
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%files %{python_files}
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%license LICENSE
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%doc README.rst docs/changes.rst
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%{python_sitearch}/wrapt
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%{python_sitearch}/wrapt-%{version}*-info
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%changelog
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