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python39-h5py-3.6.0-1.1 RPM for ppc64le

From OpenSuSE Ports Tumbleweed for ppc64le

Name: python39-h5py Distribution: openSUSE Tumbleweed
Version: 3.6.0 Vendor: openSUSE
Release: 1.1 Build date: Sun Mar 6 18:19:15 2022
Group: Development/Libraries/Python Build host: obs-power9-11
Size: 6130876 Source RPM: python-h5py-3.6.0-1.1.src.rpm
Packager: http://bugs.opensuse.org
Url: https://github.com/h5py/h5py
Summary: Python interface to the Hierarchical Data Format library
H5py provides a simple, robust read/write interface to HDF5 data from Python.
Existing Python and Numpy concepts are used for the interface; for example,
datasets on disk are represented by a proxy class that supports slicing, and
has dtype and shape attributes. HDF5 groups are presented using a dictionary
metaphor, indexed by name.

Provides

Requires

License

BSD-3-Clause

Changelog

* Fri Mar 04 2022 Atri Bhattacharya <badshah400@gmail.com>
  - Update to version 3.6.0:
    * Using :meth:`.Dataset.astype` as a context manager (with
      dset.astype(t):) is deprecated. Slice the object returned by
      astype instead (data = dset.astype(t)[:10]).
    * Getting the value of h5py.get_config().default_file_mode now
      issues a deprecation warning. This has been 'r' by default
      from h5py 3.0, and cannot be changed since 3.3.
  - Rebase python-h5py-relax-dependency-versions.patch to apply
    against updated version.
  - Also enforce %requires_eq on hdf5 to force rebuilds when hdf5
    gets version updates in Factory (boo#1196682).
  - Skip tests marked with 'mpi_skip' when building with openmpi
    flavours (see e.g., https://github.com/h5py/h5py/issues/1997).
* Thu Sep 09 2021 Matej Cepl <mcepl@suse.com>
  - Correct order of definitions to generate multiple packages for
    multiple builds.
* Sun Sep 05 2021 Arun Persaud <arun@gmx.de>
  - update to version 3.4.0:
    * New features
      + The pre-built wheels now bundle HDF5 1.12.1 (:pr:`1945`).
      + len() now works on dset.astype(), .asstr() and .fields()
      wrappers (:pr:`1913`).
    * Bug fixes
      + Fix bug introduced in version 3.3 that did not allow the
      creation of files using the flag "a" for certain drivers
      (e.g. mpiio, core and stdio) (:pr:`1922`).
      + Dataset indexing will now use the optimized fast path, which was
      accidentally disabled in a previous version (:pr:`1944`).
      + Fix an error building with Cython 3.0 alpha 8 (cpdef inside
      functions) (:pr:`1923`).
* Wed Jun 23 2021 andy great <andythe_great@pm.me>
  - Update to version 3.3.0.
    * New features
    * Compatibility with the upcoming HDF5 1.12.1 and possibly 1.14.
    * H5T_BITFIELD types will now be cast to their numpy.uint
      equivalent by default (:issue:`1258`). This means that
      no knowledge of mixed type compound dataset schemas is
      required to read these types, and can simply be read as
      follows: arr = dset[:]
      Alternatively, 8-bit bitfields can still be cast to booleans
      explicitly: arr = dset.astype(numpy.bool_)[:]
    * Key types are validated when accessing groups, to give more
      helpful errors when a group is indexed like a dataset.
    * A new :meth:`.Group.build_virtual_dataset` method acting as
      a context manager to assemble virtual datasets.
    * If the source and target of a virtual dataset mapping have
      different numbers of points, an error should now be thrown
      when you make the mapping in the :class:`VirtualLayout`,
      rather than later when writing this into the file. This
      should make it easier to find the source of such errors.
    * Deprecations
    * The default_file_mode config option is deprecated, and setting
      it to values other than 'r' (for read-only mode) is no longer
      allowed. Pass the mode when creating a :class:`.File` object
      instead of setting a global default.
    * Bug fixes
    * Trying to open a file in append mode ('a') should now give
      clearer error messages when the file exists but can't be opened.
    * Protect :func:`h5py.h5f.get_obj_ids` against garbage collection
      invalidating HDF5 IDs while it is retrieving them.
    * Make file closing more robust, including when closing files
      while the interpreter is shutting down, by using lower-level
      code to close HDF5 IDs of objects inside the file.
  - Updates for version 3.2.0.
    * New features
    * Added support to use the HDF5 ROS3 driver to access HDF5 files
      on S3.
    * Breaking changes & deprecations
    * Setting the config option default_file_mode to values other
      than 'r' is deprecated. Pass the desired mode when opening a
      :class:`~.File` instead.
    * Exposing HDF5 functions
    * H5Pset_fapl_ros3 & H5Pget_fapl_ros3 (where HDF5 is built with
      read-only S3 support).
    * Bug fixes
    * :exc:`OSError` exceptions raised by h5py should now have a
      useful .errno attribute, where HDF5 provides this information.
      Subclasses such as :exc:`FileNotFoundError` should also be
      raised where appropriate.
    * Fix reading data with a datatype of variable-length arrays of
      fixed length strings.
    * Fix :meth:`.Dataset.read_direct` and :meth:`.Dataset.write_direct`
      when the source and destination have different shapes.
    * Fix selecting data using integer indices in
      :meth:`.Dataset.read_direct` and :meth:`.Dataset.write_direct`.
    * Fix exception handling in :meth:`.Group.visititems`.
    * Issue a warning when File(..., swmr=True) is specified with
      any mode other than 'r', as the SWMR option is ignored in
      these cases.
    * Fix NumPy 1.20 deprecation warnings concerning the use of
      None as shape, and the deprecated aliases np.float, np.int
      and np.bool.
    * 3.2.1 bug fix release
    * Fix :attr:`.File.driver` when the read-only S3 driver is
      available.
  - Rebase python-h5py-relax-dependency-versions.patch
* Thu Feb 18 2021 Ben Greiner <code@bnavigator.de>
  - Skip python36 build. NumPy 1.20 in Tumbleweed dropped support for
    Python 3.6 (NEP 29)
  - Fix sitearch handling between regular and mpi builds suitable for
    singlespec with multiple python3 flavors
  - Refine requirement versions based on Python version
* Wed Jan 20 2021 John Vandenberg <jayvdb@gmail.com>
  - Add runtime dependency cached-property based on Python version
* Fri Dec 11 2020 Atri Bhattacharya <badshah400@gmail.com>
  - Replace %__python3 usage by %python_exec.
* Fri Dec 04 2020 Atri Bhattacharya <badshah400@gmail.com>
  - Enable parallel hdf5:
    * Implement multibuild for different flavors of openmpi.
    * Export env variables `HDF5_LIBDIR` and `HDF5_INCLUDEDIR`
      pointing to the hdf library and headers location when enabling
      openmpi flavored builds.
    * Add BuildRequires: python-pytest-mpi for mpi tests.
    * Replace python rpm macros with their expansions in most cases
      to adapt to mpi paths.
* Thu Nov 26 2020 Atri Bhattacharya <badshah400@gmail.com>
  - Update to version 3.1.0:
    * See https://docs.h5py.org/en/latest/whatsnew/3.1.html for list
      of changes.
  - Changes from version 3.0.0: See
    https://docs.h5py.org/en/latest/whatsnew/3.0.html
  - Drop upstreamed patches:
    * remove_unittest2.patch.
    * no_include_opt.patch.
  - Add python-h5py-relax-dependency-versions.patch to allow building
    against more recent versions of numpy than minimally required.
  - Python 2 is no longer supported; at least version 3.6 is
    required.
  - Run all tests except:
    * MPI based ones, as we build against the non-mpi version of
      hdf5.
    * Offset test which overflows on 32-bit.
  - Tests require python-cached-property for openSUSE <= 1500.
  - Fix `requires_eq` on libhdf5 (oS:F now has libhdf_hl103)
    already.
* Mon May 11 2020 Dirk Mueller <dmueller@suse.com>
  - ensure rebuild when hdf5 version changes (bsc#1150049)
* Fri Sep 13 2019 Tomáš Chvátal <tchvatal@suse.com>
  - Update to 2.10.0:
    * no upstream changelog provided
  - Update patch remove_unittest2.patch
  - Remove upstream merged fix_failing_x86_test.patch
* Wed Jul 31 2019 Todd R <toddrme2178@gmail.com>
  - Add fix_failing_x86_test.patch
    Fixes spurious test failure on x86 platfomrs
    See  gh#h5py/h5py#1163
    From gh#h5py/h5py#1235
* Mon Mar 11 2019 Tomáš Chvátal <tchvatal@suse.com>
  - Yodate to 2.9.0:
    Changes from 2.8.0 are too numerous to list here, complete changelog
    is available online at https://github.com/h5py/h5py/releases
  - Drop merged patch adjust_mapping_hdf5_error_codes.patch
  - Refresh remove_unittest2.patch
* Tue Dec 04 2018 Todd R <toddrme2178@gmail.com>
  - Use more reliable test invocation
* Fri Oct 12 2018 Matej Cepl <mcepl@suse.com>
  - Remove valuerror-typerror-failing-tests.patch and replace it with
    proper patch (https://github.com/tacaswell/h5py/commit/6653c65e8c8d0.patch)
    in adjust_mapping_hdf5_error_codes.patch.
* Thu Oct 11 2018 Todd R <toddrme2178@gmail.com>
  - Fix ldconfig syntax errors.
* Wed Oct 10 2018 Matěj Cepl <mcepl@suse.com>
  - Add valuerror-typerror-failing-tests.patch to make two tests pass.
* Mon Aug 13 2018 mcepl@suse.com
  - Updated to 2.8.0
    Changes from 2.7.1 are too numerous to list here, complete changelog
    is available online at https://github.com/h5py/h5py/releases
    Patch dont_reorder_compund.patch has been included upstream
  - Remove dependency on unittest2
    Patch remove_unittest2.patch facilitates the change
* Thu Jan 25 2018 toddrme2178@gmail.com
  - Add dont_reorder_compund.patch
    Fixes builds with numpy 1.14. See:
    https://github.com/h5py/h5py/issues/969
    https://github.com/h5py/h5py/pull/970
* Sun Nov 12 2017 arun@gmx.de
  - update patch
  - update to version 2.7.1:
    * Bug fixes
      + :issue:`903` Fixed critical issue with cyclic gc which resulted
      in segfaults
      + :issue:`904` Avoid unaligned access fixing h5py on sparc64
      + :issue:`883` Fixed compilation issues for some library locations
      + :issue:`868` Fix deadlock between phil and the import lock in
      py2
      + :issue:`841` Improve windows handling if filenames
      + :issue:`874` Allow close to be called on file multiple times
      + :issue:`867`, :issue:`872` Warn on loaded vs complied hdf5
      version issues
      + :issue:`902` Fix overflow computing size of dataset on windows
      + :issue:`912` Do not mangle capitalization of filenames in error
      messages
      + :issue:`842` Fix longdouble on ppc64le
      + :issue:`862`, :issue:`916` Fix compounds structs with
      variable-size members
* Thu May 11 2017 toddrme2178@gmail.com
  - Implement single-spec version
  - Fix source URL
  - Update to version 0.2.7
    * Python 3.2 is no longer supported
    * Improved testing support
    * Improved python compatibility
    * Documentation improvements
    * setup.py improvements
    * Support for additional HDF5 features added
    * Improvements to type system
  - Update to version 0.2.6
    * Support for HDF5 Virtual Dataset API
    * Add MPI Collective I/O Support
    * Numerous build/testing/CI improvements
    * Cleanup of codebase based on pylint
    * Fixes to low-level API
    * Documentation improvements
  - Add no_include_opt.patch to avoid including forbidden
    directories.
* Tue Jul 28 2015 toddrme2178@gmail.com
  - Fix hdf5 version ambiguity
* Fri Apr 10 2015 toddrme2178@gmail.com
  - specfile:
    * changed from 2to3 to six
    * added build requirement for python3-pkgconfig
    * added Cython requirement for install
    * update copyright year
  - update to version 2.5.0:
    * Experimental SWMR support
    * Group and AttributeManager classes now inherit from the appropriate ABCs
    * Fixed an issue with 64-bit float VLENS
    * Cython warning cleanups related to "const"
    * Entire code base ported to "six"; 2to3 removed from setup.py
  - update to version 2.4.0:
    * This release incorporates a total re-write of the identifier
      management system in h5py. As part of this refactoring, the entire
      API is also now protected by threading locks.
    * Files are now automatically closed when all objects within them
      are unreachable. Previously, if File.close() was not explicitly
      closed, files would remain open and "leaks" were possible if the
      File object was lost.
    * The entire API is now believed to be thread-safe (feedback
      welcome!).
    * External links now work if the target file is already
      open. Previously this was not possible because of a mismatch in
      the file close strengths.
    * The options to setup.py have changed; a new top-level "configure"
      command handles options like --hdf5=/path/to/hdf5 and
    - -mpi. Setup.py now works correctly under Python 3 when these
      options are used.
    * Cython (0.17+) is now required when building from source.
    * The minimum NumPy version is now 1.6.1.
* Thu Jul 17 2014 toddrme2178@gmail.com
  - Update download url
  - spec file cleanups
* Mon Jul 14 2014 toddrme2178@gmail.com
  - Update to 2.3.1
    - Bugfix release which fixes a build issue when using the most
      recent version of HDF5 (1.8.13), and some issues with Travis-CI.
* Thu May 08 2014 toddrme2178@gmail.com
  - Update to version 2.3.0
    - Support for arbitrary vlen data
    - Improved exception messages
    - Improved setuptools support
    - Multiple low-level additions
    - Improved support for MPI features
    - Readonly files can now be opened in default mode
    - Single-step build for HDF5 on Windows
* Mon Dec 16 2013 toddrme2178@gmail.com
  - Update to version 2.2.1
    + Critical bugfixes
* Tue Dec 10 2013 p.drouand@gmail.com
  - Update to version 2.2.0
    + This version of h5py introduces support for MPI/Parallel HDF5,
      using the mpi4py package.  Parallel HDF5 is the "native" method
      in HDF5 for sharing files and objects across multiple processes,
      in contrast to the "threading" package or "multiprocessing".
      There is a guide to using Parallel HDF5 at the h5py web site:
      http://www.h5py.org/docs/topics/mpi.html
    + Support for Python 3.3
    + Support for 16-bit "mini" floats
    + Access to the HDF5 scale-offset filter
    + Field names are now allowed when writing to a dataset
    + Region references now preserve the shape of their selections
    + File-resident "committed" types can be linked to datasets and attributes
    + Make object mtime tracking optional
    + A new "move" method on Group objects
    + Many new options for Group.copy
    + Access to HDF5's get_vfd_handle
    + Many bug fixes
  - Remove depreciated %{py_requires}
  - Remove redundant %clen section
  - Remove useless %post/postun sections
  - Package ANN.rst, lzf/LICENSE.txt, lzf/README.txt and examples to
    documentation directory
* Wed Apr 24 2013 highwaystar.ru@gmail.com
  - update to version 2.1.3
    - no changelog
* Sun Nov 25 2012 toddrme2178@gmail.com
  - Update to 2.1.0
    - No changelog
* Thu Apr 26 2012 highwaystar.ru@gmail.com
  - python3 package added
* Sun Jan 08 2012 toddrme2178@gmail.com
  - new version 2.0.1
  - cleaned up spec file
  - merged changes lists
* Thu Aug 04 2011 highwaystar.ru@gmail.com
  - version bump to 2.0.0
* Sun May 29 2011 werner.ho@gmx.de
  - fixed hdf5-devel package name change
* Thu Mar 17 2011 werner.ho@gmx.de
  - new version 1.3.1
* Sun Sep 19 2010 werner.ho@gmx.de
  - fixed libhdf5-dependancy
* Mon Jul 05 2010 highwaystar.ru@gmail.com
  - fixed libhdf5-devel to hdf5-devel
* Mon Mar 22 2010 highwaystar.ru@gmail.com
  - initial release for openSUSE
  - version 1.3.0
* Mon Mar 22 2010 tomin@frame10
  - initial build for openSUSE

Files

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/usr/lib64/python3.9/site-packages/h5py-3.6.0-py3.9.egg-info
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