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| Name: python313-h5py-openmpi4 | Distribution: openSUSE Tumbleweed |
| Version: 3.14.0 | Vendor: openSUSE |
| Release: 1.1 | Build date: Mon Aug 25 06:12:26 2025 |
| Group: Development/Libraries/Python | Build host: reproducible |
| Size: 6678724 | Source RPM: python-h5py-openmpi4-3.14.0-1.1.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.
BSD-3-Clause
* Mon Aug 25 2025 Steve Kowalik <steven.kowalik@suse.com>
- Update to 3.14.0:
* New Features
+ On NumPy 2.x, it is now possible to read and write native NumPy
variable-width strings, a.k.a. StringDType() or dtype='T', which are
more efficient than arrays of Python string objects.
+ New File.in_memory constructor to conveniently build an HDF5 file
structure in memory
+ Dataset views returned by Dataset.astype, Dataset.asstr and
Dataset.fields have gained the .dtype, .ndim, .shape, and .size
attributes.
+ Opening an existing dataset in a file is faster since it now only loads
the "dataset creation property list" when required.
* Exposing HDF5 functions
+ h5py.h5d.DatasetID.write_direct_chunk now wraps H5Dwrite_chunk instead
of H5DOwrite_chunk.
+ H5Sselect_shape_same exposed as h5py.h5s.SpaceID.select_shape_same.
* Bug fixes
+ Fixed a problem with phil Lock handling in forked processes when h5py
is also used from other threads.
+ Fixed an error using :meth:`.Dataset.read_direct` with a zero-size
selection.
+ Fix various bugs when applying np.array or np.asarray to a Dataset view
returned by Dataset.astype, Dataset.asstr, or Dataset.fields.
* Building h5py
+ setuptools 77 or above is now required, due to changes in the license
metadata in pyproject.toml.
+ Numpy variable-width string support does not alter the build process:
you need NumPy 2.x to build.
+ Fixed building h5py with Numpy 2.3.
* Fri Nov 15 2024 Ben Greiner <code@bnavigator.de>
- 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 <steven.kowalik@suse.com>
- Fix Cython upper bound to match upstream.
* Tue May 28 2024 Daniel Garcia <daniel.garcia@suse.com>
- Disable test for ppc64le because of Insufficient precision
bsc#1225381
* Sun Apr 14 2024 Dirk Müller <dmueller@suse.com>
- 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 <dmueller@suse.com>
- 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 <nicolas.morey@suse.com>
- Drop support for obsolete openmpi[123]
- Prepare support for openmpi5
* Tue Aug 22 2023 Ben Greiner <code@bnavigator.de>
- 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 <code@bnavigator.de>
- 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 <arun@gmx.de>
- 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 <badshah400@gmail.com>
- 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 <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).
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Fabrice Bellet, Sun Oct 19 22:42:15 2025