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Merge pull request #2214 from takluyver/rever-3.8
Prepare to release 3.8
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What's new in h5py 3.8 | ||
====================== | ||
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New features | ||
------------ | ||
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* 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. | ||
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Exposing HDF5 functions | ||
----------------------- | ||
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* ``H5Dchunk_iter`` as :meth:`h5py.h5d.DatasetID.chunk_iter`. | ||
* `H5Pset_meta_block_size <https://portal.hdfgroup.org/display/HDF5/H5P_SET_META_BLOCK_SIZE>`_ | ||
and `H5Pget_meta_block_size <https://portal.hdfgroup.org/display/HDF5/H5P_GET_META_BLOCK_SIZE>`_ | ||
(:pr:`2106`). | ||
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Bug fixes | ||
--------- | ||
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* 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`). | ||
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Building h5py | ||
------------- | ||
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* 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`). |
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@@ -8,6 +8,7 @@ These document the changes between minor (or major) versions of h5py. | |
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.. toctree:: | ||
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3.8 | ||
3.7 | ||
3.6 | ||
3.5 | ||
|
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