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python-h5py/python-h5py.changes
Benjamin Greiner a27ed9e1fa - Update to 3.15.1 
## New features
  * h5py.Dataset.iter_chunks() accepts slice objects with the None
    value for slice.start and slice.stop attributes, or integers
    (PR 2657). Example: dset.iter_chunks((slice(None, None), 4)).
    This is equivalent to dset[:,4].
  * A new track_times parameter when creating a group or a file to
    control whether creation, modification, change and access
    timestamps are stored for group objects (PR 2611). This is
    False by default.
  * Work to better support free-threaded mode in CPython (PR 2658,
    PR 2678). This is not substantially tested yet, but some of the
    most glaring issues have been resolved. See free-threading.
  ## Breaking Changes and Deprecations
  * Support for Python 3.9 was dropped. Python 3.10 or newer is now
    required to build or install h5py from this version on (PR
    2640).
  * The minimum supported version of HDF5 is now 1.10.7, and within
    the 1.12 series the minimum supported version is now 1.12.1 (PR
    2605).
  * Timestamps are no longer stored by default for groups
    (including the root group) if the track_order parameter is set
    (PR 2611). Previously, setting this parameter also caused
    timestamps to be stored in the file.
  ## Bug fixes
  * Fixed h5py.h5p.PropLAID.get_elink_prefix method (PR 2712).
  * Fixed a segfault reading unallocated variable length string
    data as NumPy variable length strings (PR 2630).
  * Fixed an error reading certain types of variable length data
    where an entry has 0 length (PR 2717).

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-h5py?expand=0&rev=62
2025-12-23 15:08:24 +00:00

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-------------------------------------------------------------------
Mon Dec 22 12:05:57 UTC 2025 - Ben Greiner <code@bnavigator.de>
- Update to 3.15.1
## New features
* h5py.Dataset.iter_chunks() accepts slice objects with the None
value for slice.start and slice.stop attributes, or integers
(PR 2657). Example: dset.iter_chunks((slice(None, None), 4)).
This is equivalent to dset[:,4].
* A new track_times parameter when creating a group or a file to
control whether creation, modification, change and access
timestamps are stored for group objects (PR 2611). This is
False by default.
* Work to better support free-threaded mode in CPython (PR 2658,
PR 2678). This is not substantially tested yet, but some of the
most glaring issues have been resolved. See free-threading.
## Breaking Changes and Deprecations
* Support for Python 3.9 was dropped. Python 3.10 or newer is now
required to build or install h5py from this version on (PR
2640).
* The minimum supported version of HDF5 is now 1.10.7, and within
the 1.12 series the minimum supported version is now 1.12.1 (PR
2605).
* Timestamps are no longer stored by default for groups
(including the root group) if the track_order parameter is set
(PR 2611). Previously, setting this parameter also caused
timestamps to be stored in the file.
## Bug fixes
* Fixed h5py.h5p.PropLAID.get_elink_prefix method (PR 2712).
* Fixed a segfault reading unallocated variable length string
data as NumPy variable length strings (PR 2630).
* Fixed an error reading certain types of variable length data
where an entry has 0 length (PR 2717).
* Fixed some SyntaxWarnings which might become errors in a future
Python version (PR 2597).
-------------------------------------------------------------------
Mon Aug 25 04:12:26 UTC 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 19:11:37 UTC 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 8 06:51:52 UTC 2024 - Steve Kowalik <steven.kowalik@suse.com>
- Fix Cython upper bound to match upstream.
-------------------------------------------------------------------
Tue May 28 08:20:00 UTC 2024 - Daniel Garcia <daniel.garcia@suse.com>
- Disable test for ppc64le because of Insufficient precision
bsc#1225381
-------------------------------------------------------------------
Sun Apr 14 07:46:05 UTC 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 19:04:27 UTC 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 12:04:17 UTC 2023 - Nicolas Morey <nicolas.morey@suse.com>
- Drop support for obsolete openmpi[123]
- Prepare support for openmpi5
-------------------------------------------------------------------
Tue Aug 22 18:22:43 UTC 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 10:05:30 UTC 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 8 18:59:18 UTC 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 15:47:49 UTC 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 4 11:43:46 UTC 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 9 16:08:42 UTC 2021 - Matej Cepl <mcepl@suse.com>
- Correct order of definitions to generate multiple packages for
multiple builds.
-------------------------------------------------------------------
Sun Sep 5 16:38:52 UTC 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 09:37:01 UTC 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 19:40:45 UTC 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 13:26:43 UTC 2021 - John Vandenberg <jayvdb@gmail.com>
- Add runtime dependency cached-property based on Python version
-------------------------------------------------------------------
Fri Dec 11 13:48:30 UTC 2020 - Atri Bhattacharya <badshah400@gmail.com>
- Replace %__python3 usage by %python_exec.
-------------------------------------------------------------------
Fri Dec 4 03:15:34 UTC 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 14:55:53 UTC 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 07:45:48 UTC 2020 - Dirk Mueller <dmueller@suse.com>
- ensure rebuild when hdf5 version changes (bsc#1150049)
-------------------------------------------------------------------
Fri Sep 13 13:12:21 UTC 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 19:43:07 UTC 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 12:38:35 UTC 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 4 02:51:00 UTC 2018 - Todd R <toddrme2178@gmail.com>
- Use more reliable test invocation
-------------------------------------------------------------------
Fri Oct 12 15:00:53 UTC 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 16:34:58 UTC 2018 - Todd R <toddrme2178@gmail.com>
- Fix ldconfig syntax errors.
-------------------------------------------------------------------
Wed Oct 10 14:05:08 UTC 2018 - Matěj Cepl <mcepl@suse.com>
- 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
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