2025.1

Implementation of user's feature request: ACME can now allocate result datasets
with arbitrary dimensions via the result_shape keyword. In case it is not clear
(or cumbersome) to determine the shape of an aggregate results dataset a-priori,
setting the appropriate dimension(s) to np.inf prompts ACME to create a
resizable HDF5 dataset.

NEW

• Added support for "unlimited" datasets to allow flexible dimension
  specifications in result_shape. When setting the size of a dimension in
  result_shape to np.inf, ACME allocates a resizable HDF5 dataset for the
  results. This works for both virtual and regular datasets.

REMOVED

• As announced in the previous release the start_client keyword has been removed
  from local_cluster_setup (starting a dask LocalCluster always starts
  a client anyway)

DEPRECATED

• Dropped support for Windows (ACME should work but is not tested any more)
• Dropped support for Python 3.7

FIXED

• Custom resource allocations were not correctly propagated to dask
  workers (especially in the "E880" partition on the ESI cluster). This
  has been fixed (cf #60)
• A bug in python-msgpack under Python 3.12 triggered de-serialization
  errors; temporarily pinned python-msgpack to version 1.0.5 but newer
  versions do not exhibit this problem (cf #59)