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Augmented all HDF5 formats to make them more self-contained, so that they can be used without constantly referring back to the schema. This is done by adding most of the (previously schema-only) details into HDF5 attributes.
Store dimnames pointers in an attribute for the sparse matrices and dense arrays . This allows writers to point to any dataset in the file that contains, e.g., feature or sample names.
Factors in HDF5 data frames are represented as groups with codes and levels. This avoids having store a separate file for the levels.
Tidied up the CSV data frame specification wording.
Check that HDF5 DF column names are all non-empty strings.