Changelog:
==========
-* avoid buffer being unnecessarily initialized with 0s in several
functions of the 'bitarray.util' module
-* fix '.count()' type hint in pyi-file
-* improve testing
Signed-off-by: Wang Mingyu <wangmy@fujitsu.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Changelog:
- Fix conversion of deprecated flag on parameters
Signed-off-by: Wang Mingyu <wangmy@fujitsu.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Delete upstreamed patch for off_t
Rebase the other patches on the latest version
Signed-off-by: Derek Straka <derek@asterius.io>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
This allows build with python 3.12.
Signed-off-by: Ny Antra Ranaivoarison <nyantra.ranaivoarison@smile.fr>
Signed-off-by: Yoann Congal <yoann.congal@smile.fr>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Remove patch 0001-message.c-Cast-uintptr_t-types-to-upb_MessageDef.patch
that was incorporated upstream and released in 4.25.1
Signed-off-by: Derek Straka <derek@asterius.io>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Updated the license file and verified terms remained the same
Signed-off-by: Derek Straka <derek@asterius.io>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Changelog
fix(wheels): link libstdc++ statically on manylinux1 by @mayeut in #159
chore(wheels): link libstdc++/libgcc statically on musllinux by @mayeut in #160
chore: add Windows ARM support by @henryiii in #169
chore: continue testing with python 2.7 by @mayeut in #199
chore: move to setuptools_scm by @henryiii in #170
chore: switch to ruff by @henryiii in #174
chore: use trusted publisher deployment by @jcfr in #191
chore: use wheel tags cli by @mayeut in #84
ci: allow setting a version by @henryiii in #171
ci: cancel on repeated pushes by @henryiii in #177
Signed-off-by: Derek Straka <derek@asterius.io>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
* Add to ptest-packelists-meta-python.inc "FAST" under 30 s
Signed-off-by: Tim Orling <ticotimo@gmail.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Dependency for python3-pydantic ptests.
"""
cloudpickle makes it possible to serialize Python constructs not
supported by the default pickle module from the Python standard
library.
cloudpickle is especially useful for cluster computing where Python
code is shipped over the network to execute on remote hosts, possibly
close to the data.
"""
Signed-off-by: Tim Orling <ticotimo@gmail.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Dependency for python3-pydantic-core ptests.
"""
dirty-equals is a python library that (mis)uses the __eq__ method to make
python code (generally unit tests) more declarative and therefore easier
to read and write.
dirty-equals can be used in whatever context you like, but it comes into
its own when writing unit tests for applications where you're commonly
checking the response to API calls and the contents of a database.
Signed-off-by: Tim Orling <ticotimo@gmail.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
* Newer python3-pydantic offloaded some of its code to python3-pydantic-core
* Add python3-annotated-types to RDEPENDS.
* Add DESCRIPTION and trim SUMMARY.
Signed-off-by: Tim Orling <ticotimo@gmail.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Run-time dependency for python3-pydantic
"""
PEP-593 added typing.Annotated as a way of adding context-specific
metadata to existing types, and specifies that Annotated[T, x] should
be treated as T by any tool or library without special logic for x.
This package provides metadata objects which can be used to represent
common constraints such as upper and lower bounds on scalar values and
collection sizes, a Predicate marker for runtime checks, and descriptions
of how we intend these metadata to be interpreted. In some cases, we also
note alternative representations which do not require this package.
"""
References:
https://peps.python.org/pep-0593/
Signed-off-by: Tim Orling <ticotimo@gmail.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
Runtime dependency for current python3-pydantic
This package provides the core functionality for pydantic validation and serialization.
Pydantic-core is currently around 17x faster than pydantic V1. See tests/benchmarks/ for details.
https://github.com/pydantic/pydantic-core/tree/v2.14.5/tests/benchmarks
Signed-off-by: Tim Orling <ticotimo@gmail.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
