v2.1.0

Major Changes

• Binaries are now available:

  • conda-forge packages for Linux, MacOSX, and Windows;
  • pip wheels for Linux and MacOSX (but not Windows).

• Added support for StringDType, a.k.a. NpyStrings.
  Requires h5py >=3.14.0 and NumPy >=2.0.
  Like in h5py, StringDType is completely opt-in.

• The astype() method is now functional; it returns a lazy read-only accessor just like in h5py.

• Fixed breakage in delete_versions() after upgrading to h5py 3.14.0.

Minor Changes

• Fixed crash when handling empty multidimensional datasets.

• Fixed bugs where InMemoryArrayDataset.__getitem__() and __array__()
  would return the wrong dtype.

• The .chunks property of a Dataset would occasionally return an unnecessary
  ndindex.ChunkType; it now always returns a tuple of ints like in h5py.

• Fixed bug where the ENABLE_CHUNK_REUSE_VALIDATION environment variable would incur
  in a false positive when the first element of an object array is bytes, but then later
  on there are str elements.

• Overhauled ASV benchmarks support.

• resize():

  • Fixed crash in InMemorySparseDataset.resize().
  • Fixed issue where calling InMemoryArrayDataset.resize() to enlarge a dataset was
    slow and caused huge memory usage.

• create_dataset():

  • The dtype= parameter now accepts any DTypeLike, e.g. "i4" or int, in
    addition to actual numpy.dtype objects.
  • Fixed bug that could lead to overflow/underflow/loss of definition after calling
    __setitem__ on the initial version of a dataset.
  • Avoid unnecessary double dtype conversions when passing a list to the data=
    parameter with an explicit dtype= parameter.
  • Fixed crashes when chunks= parameter was either a bare integer or True.
  • chunks=False is now explicitly disallowed
    (before it would lead to an uncontrolled crash).
  • Warn for all ignored kwargs, not just for maxshape.

• modify_metadata():

  • Fixed bug where setting fillvalue=0 would retain the previous fillvalue.
  • Speed up when the fillvalue doesn't change.
  • Fixed bug when changing dtype and fillvalue at the same time, which could cause the
    new fillvalue to be transitorily cast to the old dtype and overflow, underflow,
    or lose definition.