------------------------------------------------------------------- Tue May 28 08:20:00 UTC 2024 - Daniel Garcia - Disable test for ppc64le because of Insufficient precision bsc#1225381 ------------------------------------------------------------------- Sat Dec 16 19:04:27 UTC 2023 - Dirk Müller - update to 3.10.0: * The read-only S3 file driver ('ros3') now accepts an AWS session token as part of the credentials (:pr:`2301`). Pass session_token when opening a :class:`.File` (along with the other S3 parameters). This requires HDF5 1.14.2 or later, with the ROS3 feature built. * Support for the HDF5 1.8 series was dropped, along with early 1.10 releases. The minimum required HDF5 version is now 1.10.4. * Exposing HDF5 functions * H5Pget_fapl_ros3_token & H5Pset_fapl_ros3_token * Various nasty bugs when using nested compound and vlen data types have been fixed (:pr:`2134`). * Fixed an OverflowError in some cases when registering a filter with :func:`h5z.register_filter`, especially on 32-bit architectures (:pr:`2318`). * Sequential slicing/indexing operations on a :class:`.VirtualSource` object (e.g. source[:10][::2]) now raise an error, rather than giving incorrect results (:pr:`2280`). ------------------------------------------------------------------- Mon Oct 23 12:04:17 UTC 2023 - Nicolas Morey - Drop support for obsolete openmpi[123] - Prepare support for openmpi5 ------------------------------------------------------------------- Tue Aug 22 18:22:43 UTC 2023 - Ben Greiner - Update to 3.9.0 * This version of h5py requires Python 3.8 or above. ## New features * New out argument to read_direct_chunk() to allow passing the output buffer (PR 2232). * The objects from Dataset.asstr() and Dataset.astype() now implement the __array__() method (PR 2269). This speeds up access for functions that support it, such as np.asarray(). * Validate key types when creating groups and attributes, giving better error messages when invalid types are used (PR 2266). ## Deprecations & removals * Using Dataset.astype() as a context manager has been removed, after being deprecated in h5py 3.6. Read data by slicing the returned object instead: dset.astype('f4')[:]. * Exposing HDF5 functions * H5Pget_elink_acc_flags & H5Pset_elink_acc_flags as h5py.h5p.PropLAID.get_elink_acc_flags() & h5py.h5p.PropLAID.set_elink_acc_flags(): access the external link file access traversal flags in a link access property list (PR 2244). * H5Zregister as h5py.h5z.register_filter(): register an HDF5 filter (PR 2229). ## Bug fixes * Group.__contains__ and Group.get now use the default link access property list systematically (PR 2244). * Removed various calls to the deprecated numpy.product function (PR 2242 & PR 2273). * Fix the IPython tab-completion integration in IPython 8.12 (PR 2256). * Replacing attributes with AttributeManager.create() now deletes the old attributes before creating the new one, rather than using a temporary name and renaming the new attribute (PR 2274). This should avoid some confusing bugs affecting attributes. However, failures creating an attribute are less likely to leave an existing attribute of the same name in place. To change an attribute value without changing its shape or dtype, use modify() instead. ## Building h5py * When building with Parallel HDF5 support, the version of mpi4py used on various Python versions is increased to 3.1.1, fixing building with a newer setuptools (PR 2225). * Some fixes towards compatibility with the upcoming Cython 3 (PR 2247). ------------------------------------------------------------------- Thu Feb 16 10:05:30 UTC 2023 - Ben Greiner - Clean up build and runtime requirements - Drop python-h5py-relax-dependency-versions.patch -- it has become a noop at the last refresh. - Only build for supported pythons (>= 3.7) - PEP517 build ------------------------------------------------------------------- Wed Feb 8 18:59:18 UTC 2023 - Arun Persaud - specfile: * update copyright year * update patch - update to version 3.8.0: * New features + h5py now has pre-built packages for Python 3.11. + h5py is compatible with HDF5 1.14 (:pr:`2187`). Pre-built packages on PyPI still include HDF5 1.12 for now. + :ref:`dataset_fancy` now accepts tuples, or any other sequence type, rather than only lists and NumPy arrays. This also includes range objects, but this will normally be less efficient than the equivalent slice. + New property :attr:`.Dataset.is_scale` for checking if the dataset is a dimension scale (:pr:`2168`). + :meth:`.Group.require_dataset` now validates maxshape for resizable datasets (:pr:`2116`). + :class:`.File` now has a meta_block_size argument and property. This influences how the space for metadata, including the initial header, is allocated. + Chunk cache can be configured per individual HDF5 dataset (:pr:`2127`). Use :meth:`.Group.create_dataset` for new datasets or :meth:`.Group.require_dataset` for already existing datasets. Any combination of the rdcc_nbytes, rdcc_w0, and rdcc_nslots arguments is allowed. The file defaults apply to those omitted. + HDF5 file names for ros3 driver can now also be s3:// resource locations (:pr:`2140`). h5py will translate them into AWS path-style URLs for use by the driver. + When using the ros3 driver, AWS authentication will be activated only if all three driver arguments are provided. Previously AWS authentication was active if any one of the arguments was set causing an error from the HDF5 library. + :meth:`.Dataset.fields` now implements the __array__() method (:pr:`2151`). This speeds up accessing fields with functions that expect this, like np.asarray(). + Low-level :meth:`h5py.h5d.DatasetID.chunk_iter` method that invokes a user-supplied callable object on every written chunk of one dataset (:pr:`2202`). It provides much better performance when iterating over a large number of chunks. * Exposing HDF5 functions + H5Dchunk_iter as :meth:`h5py.h5d.DatasetID.chunk_iter`. + H5Pset_meta_block_size and H5Pget_meta_block_size (:pr:`2106`). * Bug fixes + Fixed getting the default fill value (an empty string) for variable-length string data (:pr:`2132`). + Complex float16 data could cause a TypeError when trying to coerce to the currently unavailable numpy.dtype('c4'). Now a compound type is used instead (:pr:`2157`). + h5py 3.7 contained a performance regression when using a boolean mask array to index a 1D dataset, which is now fixed (:pr:`2193`). * Building h5py + Parallel HDF5 can be built with Microsoft MS-MPI (:pr:`2147`). See :ref:`build_mpi` for details. + Some 'incompatible function pointer type' compile time warnings were fixed (:pr:`2142`). + Fix for finding HDF5 DLL in mingw (:pr:`2105`). ------------------------------------------------------------------- Sun May 29 15:47:49 UTC 2022 - Atri Bhattacharya - Update to version 3.7.0: * Provide the ability to use the Direct Virtual File Driver (VFD) from HDF5 (Linux only). * The :class:`.File` constructor contains two new parameters alignment_threshold, and alignment_interval controling the data alignment within the HDF5 file (gh#h5py/h5py#2040). * :meth:`~.Group.create_dataset` and :meth:`~.Group.require_dataset` now accept parameters efile_prefix and virtual_prefix to set a filesystem path prefix to use to find files for external datasets and for virtual dataset sources (gh#h5py/h5py#2092). These only affect the current access; the prefix is not stored in the file. * Bugs fixed: - Fix a deadlock which was possible when the same dataset was accessed from multiple threads (gh#h5py/h5py#2064). - New attributes are created directly, instead of via a temporary attribute with subsequent renaming. This fixes overwriting attributes with track_order=True. - Fix for building with mpi4py on Python 3.10 (gh#h5py/h5py#2101). - Fixed fancy indexing with a boolean array for a single dimension (gh#h5py/h5py#2079). - Avoid returning unitialised memory when reading from a chunked dataset with missing chunks and no fill value (gh#h5py/h5py#2076). - Enable setting of fillvalue for datasets with variable length string dtype (gh#h5py/h5py#2044). - Closing a file or calling get_obj_ids() no longer re-enables Python garbage collection if it was previously disabled (gh#h5py/h5py#2020). - Refresh python-h5py-relax-dependency-versions.patch for updated version. ------------------------------------------------------------------- Fri Mar 4 11:43:46 UTC 2022 - Atri Bhattacharya - 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 9 16:08:42 UTC 2021 - Matej Cepl - Correct order of definitions to generate multiple packages for multiple builds. ------------------------------------------------------------------- Sun Sep 5 16:38:52 UTC 2021 - Arun Persaud - 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 09:37:01 UTC 2021 - andy great - 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 19:40:45 UTC 2021 - Ben Greiner - 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 13:26:43 UTC 2021 - John Vandenberg - Add runtime dependency cached-property based on Python version ------------------------------------------------------------------- Fri Dec 11 13:48:30 UTC 2020 - Atri Bhattacharya - Replace %__python3 usage by %python_exec. ------------------------------------------------------------------- Fri Dec 4 03:15:34 UTC 2020 - Atri Bhattacharya - 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 14:55:53 UTC 2020 - Atri Bhattacharya - 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 07:45:48 UTC 2020 - Dirk Mueller - ensure rebuild when hdf5 version changes (bsc#1150049) ------------------------------------------------------------------- Fri Sep 13 13:12:21 UTC 2019 - Tomáš Chvátal - 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 19:43:07 UTC 2019 - Todd R - 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 12:38:35 UTC 2019 - Tomáš Chvátal - 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 4 02:51:00 UTC 2018 - Todd R - Use more reliable test invocation ------------------------------------------------------------------- Fri Oct 12 15:00:53 UTC 2018 - Matej Cepl - 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 16:34:58 UTC 2018 - Todd R - Fix ldconfig syntax errors. ------------------------------------------------------------------- Wed Oct 10 14:05:08 UTC 2018 - Matěj Cepl - Add valuerror-typerror-failing-tests.patch to make two tests pass. ------------------------------------------------------------------- Mon Aug 13 08:55:13 UTC 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 22:04:22 UTC 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 17:01:49 UTC 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 18:04:04 UTC 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 10:34:21 UTC 2015 - toddrme2178@gmail.com - Fix hdf5 version ambiguity ------------------------------------------------------------------- Fri Apr 10 14:15:27 UTC 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 09:35:21 UTC 2014 - toddrme2178@gmail.com - Update download url - spec file cleanups ------------------------------------------------------------------- Mon Jul 14 16:20:53 UTC 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 8 11:23:35 UTC 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 13:56:43 UTC 2013 - toddrme2178@gmail.com - Update to version 2.2.1 + Critical bugfixes ------------------------------------------------------------------- Tue Dec 10 14:28:44 UTC 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 03:45:08 UTC 2013 - highwaystar.ru@gmail.com - update to version 2.1.3 - no changelog ------------------------------------------------------------------- Sun Nov 25 11:34:42 UTC 2012 - toddrme2178@gmail.com - Update to 2.1.0 - No changelog ------------------------------------------------------------------- Thu Apr 26 02:33:56 UTC 2012 - highwaystar.ru@gmail.com - python3 package added ------------------------------------------------------------------- Sun Jan 8 00:47:03 UTC 2012 - toddrme2178@gmail.com - new version 2.0.1 - cleaned up spec file - merged changes lists ------------------------------------------------------------------- Thu Aug 4 02:44:19 UTC 2011 - highwaystar.ru@gmail.com - version bump to 2.0.0 ------------------------------------------------------------------- Sun May 29 00:00:00 UTC 2011 - werner.ho@gmx.de - fixed hdf5-devel package name change ------------------------------------------------------------------- Thu Mar 17 00:00:00 UTC 2011 - werner.ho@gmx.de - new version 1.3.1 ------------------------------------------------------------------- Sun Sep 19 00:00:00 UTC 2010 - werner.ho@gmx.de - fixed libhdf5-dependancy ------------------------------------------------------------------- Mon Jul 5 03:12:54 UTC 2010 - highwaystar.ru@gmail.com - fixed libhdf5-devel to hdf5-devel ------------------------------------------------------------------- Mon Mar 22 08:39:48 UTC 2010 - highwaystar.ru@gmail.com - initial release for openSUSE - version 1.3.0 ------------------------------------------------------------------- Mon Mar 22 00:00:00 UTC 2010 - tomin@frame10 - initial build for openSUSE