This flag should be set for packages that import pkg_resources
and thus need setuptools after the build step.
Set this flag for packages that need it and bump PKGREVISION.
This is a minor version of PyTables. The main feature added is that
compatibility with Python 3.10, numpy 1.21 and HDF5 1.12 has been improved,
while support for Python 3.5 has been dropped.
The CI infrastructure has been moved to GitHub Actions.
Install the new interchangeable BLAS system created by Thomas Orgis,
currently supporting Netlib BLAS/LAPACK, OpenBLAS, cblas, lapacke, and
Apple's Accelerate.framework. This system allows the user to select any
BLAS implementation without modifying packages or using package options, by
setting PKGSRC_BLAS_TYPES in mk.conf. See mk/blas.buildlink3.mk for details.
This commit should not alter behavior of existing packages as the system
defaults to Netlib BLAS/LAPACK, which until now has been the only supported
implementation.
Details:
Add new mk/blas.buildlink3.mk for inclusion in dependent packages
Install compatible Netlib math/blas and math/lapack packages
Update math/blas and math/lapack MAINTAINER approved by adam@
OpenBLAS, cblas, and lapacke will follow in separate commits
Update direct dependents to use mk/blas.buildlink3.mk
Perform recursive revbump
pkglint -r --network --only "migrate"
As a side-effect of migrating the homepages, pkglint also fixed a few
indentations in unrelated lines. These and the new homepages have been
checked manually.
Changes from 3.6.0 to 3.6.1
Maintenance release to fix packaging issues. No new features or bugfixes.
Changes from 3.5.3 to 3.6.0
PyTables 3.6 no longer supports Python 2.7.
Improvements
- Full python 3.8 support.
- On Windows PyTables wheels on PyPI are linked to `pytables_hdf5.dll` instead of
`hdf5.dll` to prevent collisions with other packages/wheels that also vendor `hdf5.dll`.
This should prevent problems that arise when a different version of a dll is imported
that the version to which the program was linked to. This problem is known as "DLL Hell".
With the renaming of the HDF5 DLL to `pytables_hdf5.dll` these problems should be solved.
Bugfixes
- Bugfix for HDF5 files/types with padding. For details see :issue:`734`.
- More fixes for python 3.8 compatibility: Replace deprecated time.clock
with time.perf_counter
- Improvements in tests as well as clean up from dropping Python 2.7 support.
Changes from 3.5.1 to 3.5.2
- Fixed compatibility with python 3.8: Fixed `Dictonary keys changed during
iteration` RuntimeError while moving/renameing a node.
Thanks to Christoph Gohlke for reporting and Miro Hroncok for help with
building PyTables for python 3.8alpha (cython compatibility).
- Fixed a bug in offset calculations producing floats instead of ints
affecting python 3.
Changes from 3.5.0 to 3.5.1
- Maintenance release to fix how PyPi repo is handling wheel versions.
Changes from 3.4.4 to 3.5.0
Improvements
- When copying data from native HDF5 files with padding in compound types,
the padding is not removed now by default. This allows for better
compatibility with existing HDF5 applications that expect the padding
to stay there.
Also, when the description is a NumPy struct array with padding, this
is honored now. The previous behaviour (i.e. getting rid of paddings) can
be replicated by passing the new allow_padding parameter when opening
a file. For some examples, see the new examples/tables-with-padding.py
and examples/attrs-with-padding.py.
- Added a new flag --dont-allow-padding in ptrepack utility so as to
replicate the previous behaviour of removing padding during file copies.
The default is to honor the original padding in copies.
- Improve compatibility with numpy 1.16.
- Improve detection of the LZO2 library at build time.
- Suppress several warnings.
- Add AVX2 support for Windows.
Changes from 3.4.3 to 3.4.4
Improvements
Environment variable to control the use of embedded libraries.
Include citation in repository. gh-690.
Bugs fixed
Fixed import error with numexpr 2.6.5.dev0 gh-685.
Fixed linter warnings.
Fixed for re.split() is version detection. gh-687.
Fixed test failures with Python 2.7 and NumPy 1.14.3 gh-688 & gh-689.
