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v0.5.0

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@LTLA LTLA released this 06 Nov 07:56
· 111 commits to master since this release
  • 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.