Dominique Leuenberger 41f08155f9 Accepting request 1345981 from devel:languages:python:numeric
- update to 3.16.0:
  * Creating a dataset with neither ``data`` nor ``dtype`` specified
    is deprecated.
    We plan to make this an error in h5py 4.0. Use ``dtype='f4'``
    to keep the current default (which is different from NumPy's default).
  * ``h5py.config().read_byte_strings`` is deprecated. This has no effect since
    h5py 3.0, and we plan to get rid of it in 4.0.
  * Indexing datasets with an array or list of indices is now much faster when
    selecting many indices (:pr:`2603`).
  * Fixed a memory leak involving the object registry (:pr:`2783`).
  * Fix selecting parts of a multi-dimensional dataset with a
    boolean array corresponding to the first dimension (:pr:`2769`).
  * Correctly raise errors when trying to write data to a zero-sized dataset or
    a zero-sized slice (:pr:`2729`).
  * When creating a dataset, the ``dtype=`` parameter can now be a
    :class:`TypeID <low:h5py.h5t.TypeID>` object from the low-level API.
  * Various fixes for safe usage from multiple threads
  * Trying to store region references in a dataset for object references now
    raises ``TypeError`` instead of discarding information
  * A list of reference objects can be used to create a dataset
  * Fix getting filter details for the :ref:`scaleoffset filter
    <dataset_scaleoffset>` (:pr:`2781`).
  * Better error message when attempting to slice a dataset with None or
    ``np.newaxis`` (:pr:`2731`).
  * Pre-built Windows packages on PyPI now bundle a recent version of zlib
  * Avoid replacing ``arr.shape``, which will break in some future version of
    NumPy (:pr:`2728`).
  * Closing files should be slightly faster after a redundant call
    was removed

OBS-URL: https://build.opensuse.org/request/show/1345981
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-h5py?expand=0&rev=35
2026-04-11 20:25:36 +00:00
2026-04-11 00:18:14 +00:00
2026-04-11 00:18:14 +00:00
2026-04-11 00:18:14 +00:00
2026-04-11 00:18:14 +00:00
2026-04-11 00:18:14 +00:00
2026-04-11 00:18:14 +00:00
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