baserev update by copy to link target

• Files Changed
• Browse Source

- Update to version 3.7.0
- Refresh python-h5py-relax-dependency-versions.patch for updated version.

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

(Sorry for the multiple sr's, took me a few tries to get it right)
* Update to version 3.6.0.
* 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).

• Files Changed
• Browse Source

- Correct order of definitions to generate multiple packages for
  multiple builds.

• Files Changed
• Browse Source

update to latest version

• Files Changed
• Browse Source

- 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

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- 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

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Add runtime dependency cached-property based on Python version

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

• Files Changed
• Browse Source

- Replace %__python3 usage by %python_exec.

• Files Changed
• Browse Source

Enable parallel hdf5 builds in multiple mpi flavours.

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

• Files Changed
• Browse Source

* Update to version 3.1.0.
* Drop upstreamed patches: 1) remove_unittest2.patch 2) no_include_opt.patch.
* Add python-h5py-relax-numpy-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: 1) MPI based ones, as we build against the non-mpi version of hdf5 2) 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.

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- ensure rebuild when hdf5 version changes (bsc#1150049)

• Files Changed
• Browse Source