./devel/py-wrapt, Python module for decorators, wrappers and monkey patching

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Branch: CURRENT, Version: 1.16.0nb1, Package name: py311-wrapt-1.16.0nb1, Maintainer: pkgsrc-users

A Python module for decorators, wrappers and monkey patching.

The aim of the wrapt module is to provide a transparent object proxy for
Python, which can be used as the basis for the construction of function
wrappers and decorator functions.

The wrapt module focuses very much on correctness. It therefore goes way
beyond existing mechanisms such as functools.wraps() to ensure that
decorators preserve introspectability, signatures, type checking abilities
etc. The decorators that can be constructed using this module will work in
far more scenarios than typical decorators and provide more predictable and
consistent behaviour.

To ensure that the overhead is as minimal as possible, a C extension module
is used for performance critical components. An automatic fallback to a pure
Python implementation is also provided where a target system does not have a
compiler to allow the C extension to be compiled.


Required to run:
[lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

Filesize: 52.707 KB

Version history: (Expand)


CVS history: (Expand)


   2023-11-09 17:35:24 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-wrapt: updated to 1.16.0

wrapt-1.16.0
Unknown changes
   2023-02-27 09:33:00 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-wrapt: updated to 1.15.0

Version 1.15.0

Bugs Fixed

When the C extension for wrapt was being used, and a property was used on an \ 
object proxy wrapping another object to intercept access to an attribute of the \ 
same name on the wrapped object, if the function implementing the property \ 
raised an exception, then the exception was ignored and not propagated back to \ 
the caller. What happened instead was that the original value of the attribute \ 
from the wrapped object was returned, thus silently suppressing that an \ 
exception had occurred in the wrapper. This behaviour was not happening when the \ 
pure Python version of wrapt was being used, with it raising the exception. The \ 
pure Python and C extension implementations thus did not behave the same.

Note that in the specific case that the exception raised is AttributeError it \ 
still wouldn't be raised. This is the case for both Python and C extension \ 
implementations. If a wrapper for an attribute internally raises an \ 
AttributeError for some reason, the wrapper should if necessary catch the \ 
exception and deal with it, or propagate it as a different exception type if it \ 
is important that an exception still be passed back.

Address issue where the post import hook mechanism of wrapt wasn't transparent \ 
and left the __loader__ and __spec__.loader attributes of a module as the wrapt \ 
import hook loader and not the original loader. That the original loader wasn't \ 
preserved could interfere with code which needed access to the original loader.

Address issues where a thread deadlock could occur within the wrapt module \ 
import handler, when code executed from a post import hook created a new thread \ 
and code executed in the context of the new thread itself tried to register a \ 
post import hook, or imported a new module.

When using CallableObjectProxy as a wrapper for a type or function and calling \ 
the wrapped object, it was not possible to pass a keyword argument named self. \ 
This only occurred when using the pure Python version of wrapt and did not occur \ 
when using the C extension based implementation.

When using PartialCallableObjectProxy as a wrapper for a type or function, when \ 
constructing the partial object and when calling the partial object, it was not \ 
possible to pass a keyword argument named self. This only occurred when using \ 
the pure Python version of wrapt and did not occur when using the C extension \ 
based implementation.

When using FunctionWrapper as a wrapper for a type or function and calling the \ 
wrapped object, it was not possible to pass a keyword argument named self. \ 
Because FunctionWrapper is also used by decorators, this also affected \ 
decorators on functions and class types. A similar issue also arose when these \ 
were applied to class and instance methods where binding occurred when the \ 
method was accessed. In that case it was in BoundFunctionWrapper that the \ 
problem could arise. These all only occurred when using the pure Python version \ 
of wrapt and did not occur when using the C extension based implementation.

When using WeakFunctionProxy as a wrapper for a function, when calling the \ 
function via the proxy object, it was not possible to pass a keyword argument \ 
named self.
   2022-05-02 09:49:33 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-wrapt: updated to 1.14.1

Version 1.14.1

Bugs Fixed

When the post import hooks mechanism was being used, and a Python package with \ 
its own custom module importer was used, importing modules could fail if the \ 
custom module importer didn't use the latest Python import hook finder/loader \ 
APIs and instead used the deprecated API. This was actually occurring with the \ 
zipimporter in Python itself, which was not updated to use the newer Python APIs \ 
until Python 3.10.
   2022-03-31 10:43:02 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-wrapt: updated to 1.14.0

Version 1.14.0

Bugs Fixed

Python 3.11 dropped inspect.formatargspec() which was used in creating signature \ 
changing decorators. Now bundling a version of this function which uses \ 
Parameter and Signature from inspect module when available. The replacement \ 
function is exposed as wrapt.formatargspec() if need it for your own code.
When using a decorator on a class, isinstance() checks wouldn’t previously \ 
work as expected and you had to manually use Type.__wrapped__ to access the real \ 
type when doing instance checks. The __instancecheck__ hook is now implemented \ 
such that you don’t have to use Type.__wrapped__ instead of Type as last \ 
argument to isinstance().
Eliminated deprecation warnings related to Python module import system, which \ 
would have turned into broken code in Python 3.12. This was used by the post \ 
import hook mechanism.

New Features

Binary wheels provided on PyPi for aarch64 Linux systems and macOS native \ 
silicon where supported by Python when using pypa/cibuildwheel.
   2022-01-04 21:55:40 by Thomas Klausner | Files touched by this commit (1595)
Log message:
*: bump PKGREVISION for egg.mk users

They now have a tool dependency on py-setuptools instead of a DEPENDS
   2021-10-31 10:21:37 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-wrapt: updated to 1.13.3

Version 1.13.3

New Features

Adds wheels for Python 3.10 on PyPi and where possible also now generating \ 
binary wheels for musllinux.
   2021-10-26 12:20:11 by Nia Alarie | Files touched by this commit (3016)
Log message:
archivers: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Could not be committed due to merge conflict:
devel/py-traitlets/distinfo

The following distfiles were unfetchable (note: some may be only fetched
conditionally):

./devel/pvs/distinfo pvs-3.2-solaris.tgz
./devel/eclipse/distinfo eclipse-sourceBuild-srcIncluded-3.0.1.zip
   2021-10-13 08:58:32 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-wrapt: updated to 1.13.2

Version 1.13.2

Features Changed

On the Windows platform when using Python 2.7, by default the C extension will \ 
not be installed and the pure Python implementation will be used. This is \ 
because too often on Windows when using Python 2.7, there is no working compiler \ 
available. Prior to version 1.13.0, when installing the package it would \ 
fallback to using the pure Python implementation automatically but that relied \ 
on a workaround to do it when there was no working compiler. With the changes in \ 
1.13.0 to use the builtin mechanism of Python to not fail when a C extension \ 
cannot be compiled, this fallback doesn't work when the compiler doesn't exist, \ 
as the builtin mechanism in Python regards lack of a compiler as fatal and not a \ 
condition for which it is okay to ignore the fact that the extension could not \ 
be compiled.

If you are using Python 2.7 on Windows, have a working compiler, and still want \ 
to attempt to install the C extension, you can do so by setting the \ 
WRAPT_INSTALL_EXTENSIONS environment variable to true when installing the wrapt \ 
package.

Note that the next signficant release of wrapt will drop support for Python 2.7 \ 
and Python 3.5. The change described here is to ensure that wrapt can be used \ 
with Python 2.7 on Windows for just a little bit longer. If using Python 2.7 on \ 
non Windows platforms, it will still attempt to install the C extension.