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Name: python313-h5py-openmpi4 | Distribution: openSUSE Tumbleweed |
Version: 3.12.1 | Vendor: openSUSE |
Release: 1.2 | Build date: Fri Nov 15 20:11:37 2024 |
Group: Development/Libraries/Python | Build host: reproducible |
Size: 5053972 | Source RPM: python-h5py-openmpi4-3.12.1-1.2.src.rpm |
Packager: https://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.
BSD-3-Clause
* Fri Nov 15 2024 Ben Greiner <[email protected]> - Update to 3.12.1 [#]# Breaking changes * Support for Python 3.8 was dropped (PR 2471). Python 3.9 or newer is required to build or install h5py 3.12. * The minimum supported version of HDF5 was increased to 1.10.6 (PR 2486). If you need h5py on HDF5 1.10.4 or .5, please use h5py 3.11. * The fill time for chunked storage was previously set to h5d.FILL_TIME_ALLOC. Now this the default comes from HDF5, which uses h5d.FILL_TIME_IFSET (equivalent to fill_time='ifset') (PR 2463). Please use fill_time='alloc' if the change is a problem for you. [#]# Exposing HDF5 functions * Expose fill time option in dataset creation property list via the fill_time parameter in create_dataset() (PR 2463). [#]# Bug fixes * Fix an error where native float16 support is not available (PR 2422). * Fixed values of H5F_close_degree_t enum (PR 2433). * External links are now accessed with libhdf5’s default access properties (PR 2433). * Fix the iteration order for the root group in a file with creation order tracked (PR 2410). * Fixed some deprecation warnings from NumPy (PR 2416). [#]# Building h5py * Require a newer version of mpi4py for Python 3.12 (PR 2418). * The test suite is now configured to fail on unexpected warnings (PR 2428). * The generated Cython wrapper code (defs.* & _hdf5.pxd) is now specific to the version of HDF5 it’s building for. If the version of HDF5 has changed, api_gen.py should be run automatically to recreate this (PR 2479, PR 2480). * Various PRs modernising & cleaning up old Cython code, see the 3.12 milestone on Github for details. - Don't %requires_eq libhdf5{%?my_suffix}: not a package but a capability of e.g. libhdf5-200 -- boo#1196682 * Mon Jul 08 2024 Steve Kowalik <[email protected]> - Fix Cython upper bound to match upstream. * Tue May 28 2024 Daniel Garcia <[email protected]> - Disable test for ppc64le because of Insufficient precision bsc#1225381 * Sun Apr 14 2024 Dirk Müller <[email protected]> - update to 3.11.0: * h5py is now compatible with Numpy 2.0 * New methods :meth:`.Group.visit_links` and :meth:`.Group.visititems_links` that include links when visiting groups (:pr:`2360`). * Sat Dec 16 2023 Dirk Müller <[email protected]> - 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 2023 Nicolas Morey <[email protected]> - Drop support for obsolete openmpi[123] - Prepare support for openmpi5 * Tue Aug 22 2023 Ben Greiner <[email protected]> - 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 2023 Ben Greiner <[email protected]> - 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 08 2023 Arun Persaud <[email protected]> - 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 2022 Atri Bhattacharya <[email protected]> - 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 04 2022 Atri Bhattacharya <[email protected]> - 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 <[email protected]> - Correct order of definitions to generate multiple packages for multiple builds. * Sun Sep 05 2021 Arun Persaud <[email protected]> - 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 <[email protected]> - 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 <[email protected]> - 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 <[email protected]> - Add runtime dependency cached-property based on Python version
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