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Applying a chunking strategy to all non-scalar HDF5 variables
For HDF5 type, all record variables were previously chunked using
the full dimension length. With very large dimensions, this could
cause dataset creation to fail in the HDF5 library.
Introduce a simple, effective chunking strategy inspired by NetCDF4,
which now applies to all non-record (non-scalar) variables as well.
This ensures reliable dataset creation even for large dimensions.
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