Log message:
py-joblib: updated to 1.4.0

Release 1.4.0 -- 2024/04/08

- Allow caching co-routines with `Memory.cache`.

- Try to cast ``n_jobs`` to int in parallel and raise an error if
  it fails. This means that ``n_jobs=2.3`` will now result in
  ``effective_n_jobs=2`` instead of failing.

- Ensure that errors in the task generator given to Parallel's call
  are raised in the results consumming thread.

- Adjust codebase to NumPy 2.0 by changing ``np.NaN`` to ``np.nan``
  and importing ``byte_bounds`` from ``np.lib.array_utils``.

- The parameter ``return_as`` in ``joblib.Parallel`` can now be set to
  ``generator_unordered``. In this case the results will be returned in the
  order of task completion rather than the order of submission.

- dask backend now supports ``return_as=generator`` and
  ``return_as=generator_unordered``.

- Vendor cloudpickle 3.0.0 and end support for Python 3.7 which has
  reached end of life.

Log message:
devel/py-joblib: Unbreak hardware core count

Patch in platform-specific cases for NetBSD and FreeBSD
Without this, the core count routine errors out
No other changes

Maintainer feedback timeout (12 days)
Issue was discussed on tech-pkg and upstream
https://github.com/joblib/joblib/issues/1535

Log message:
py-joblib: updated to 1.3.2

Release 1.3.2 -- 2023/08/08

Fix a regression in joblib.Parallel introduced in 1.3.0 where explicitly setting \ 
n_jobs=None was not interpreted as "unset".
Fix a regression in joblib.Parallel introduced in 1.3.0 where joblib.Parallel \ 
logging methods exposed from inheritance to joblib.Logger didn't work because of \ 
missing logger initialization.
Various maintenance updates to the doc, the ci and the test.

Release 1.3.1 -- 2023/06/29

Fix compatibility with python 3.7 by vendor loky 3.4.1 which is compatible with \ 
this version.

Release 1.3.0 -- 2023/06/28

Ensure native byte order for memmap arrays in joblib.load.
Add ability to change default Parallel backend in tests by setting the \ 
JOBLIB_TESTS_DEFAULT_PARALLEL_BACKEND environment variable.
Fix temporary folder creation in joblib.Parallel on Linux subsystems on Windows \ 
which do have /dev/shm but don't have the os.statvfs function
Drop runtime dependency on distutils. distutils is going away in Python 3.12 and \ 
is deprecated from Python 3.10 onwards. This import was kept around to avoid \ 
breaking scikit-learn, however it's now been long enough since scikit-learn \ 
deployed a fixed (verion 1.1 was released in May 2022) that it should be safe to \ 
remove this.
A warning is raised when a pickling error occurs during caching operations. In \ 
version 1.5, this warning will be turned into an error. For all other errors, a \ 
new warning has been introduced: joblib.memory.CacheWarning.
Avoid (module, name) collisions when caching nested functions. This fix changes \ 
the module name of nested functions, invalidating caches from previous versions \ 
of Joblib.
Add cache_validation_callback in :meth:`joblib.Memory.cache`, to allow custom \ 
cache invalidation based on the metadata of the function call.
Add a return_as parameter for Parallel, that enables consuming results \ 
asynchronously.
Improve the behavior of joblib for n_jobs=1, with simplified tracebacks and more \ 
efficient running time.
Add the parallel_config context manager to allow for more fine-grained control \ 
over the backend configuration. It should be used in place of the \ 
parallel_backend context manager. In particular, it has the advantage of not \ 
requiring to set a specific backend in the context manager.
Add items_limit and age_limit in :meth:`joblib.Memory.reduce_size` to make it \ 
easy to limit the number of items and remove items that have not been accessed \ 
for a long time in the cache.
Deprecate bytes_limit in Memory as this is not automatically enforced, the limit \ 
can be directly passed to :meth:`joblib.Memory.reduce_size` which needs to be \ 
called to actually enforce the limit.
Vendor loky 3.4.0 which includes various fixes.
Various updates to the documentation and to benchmarking tools.
Move project metadata to pyproject.toml.
Add more tests to improve python nogil support.

Log message:
py-joblib: updated to 1.2.0

Release 1.2.0
Fix a security issue where eval(pre_dispatch) could potentially run arbitrary \ 
code. Now only basic numerics are supported. \ 
https://github.com/joblib/joblib/pull/1327
Make sure that joblib works even when multiprocessing is not available, for \ 
instance with Pyodide https://github.com/joblib/joblib/pull/1256
Avoid unnecessary warnings when workers and main process delete the temporary \ 
memmap folder contents concurrently. https://github.com/joblib/joblib/pull/1263
Fix memory alignment bug for pickles containing numpy arrays. This is especially \ 
important when loading the pickle with mmap_mode != None as the resulting \ 
numpy.memmap object would not be able to correct the misalignment without \ 
performing a memory copy. This bug would cause invalid computation and \ 
segmentation faults with native code that would directly access the underlying \ 
data buffer of a numpy array, for instance C/C++/Cython code compiled with older \ 
GCC versions or some old OpenBLAS written in platform specific assembly. \ 
https://github.com/joblib/joblib/pull/1254
Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.
Vendor loky 3.3.0 which fixes several bugs including:
robustly forcibly terminating worker processes in case of a crash \ 
(https://github.com/joblib/joblib/pull/1269);
avoiding leaking worker processes in case of nested loky parallel calls;
reliability spawn the correct number of reusable workers.

Log message:
*: bump PKGREVISION for egg.mk users

They now have a tool dependency on py-setuptools instead of a DEPENDS

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

Log message:
py-joblib: updated to 1.1.0

Release 1.1.0
Fix byte order inconsistency issue during deserialization using joblib.load in \ 
cross-endian environment: the numpy arrays are now always loaded to use the \ 
system byte order, independently of the byte order of the system that serialized \ 
the pickle. https://github.com/joblib/joblib/pull/1181
Fix joblib.Memory bug with the ignore parameter when the cached function is a \ 
decorated function. https://github.com/joblib/joblib/pull/1165
Fix joblib.Memory to properly handle caching for functions defined interactively \ 
in a IPython session or in Jupyter notebook cell. \ 
https://github.com/joblib/joblib/pull/1214
Update vendored loky (from version 2.9 to 3.0) and cloudpickle (from version 1.6 \ 
to 2.0) https://github.com/joblib/joblib/pull/1218

Log message:
devel: Remove SHA1 hashes for distfiles

Log message:
py-joblib: updated to 1.0.1

1.0.1
dask: avoid redundant scattering of large arguments to make a more efficient
use of the network resources and avoid crashing dask with “OSError: [Errno 55]
No buffer space available” or “ConnectionResetError: [Errno 104] connection
reset by peer”.

Log message:
py-joblib: updated to 1.0.0

1.0.0
Make joblib.hash and joblib.Memory caching system compatible with numpy >= \ 
1.20.0. Also make it explicit in the documentation that users should now expect \ 
to have their joblib.Memory cache invalidated when either joblib or a third \ 
party library involved in the cached values definition is upgraded. In \ 
particular, users updating joblib to a release that includes this fix will see \ 
their previous cache invalidated if they contained reference to numpy objects.
Remove deprecated check_pickle argument in delayed.