ChangeLog

Note

h5features-1.3.3

  • Improvements in automatic deployment to pypi and conda.

h5features-1.3.2

  • Bugfix: no more size limitation on properties.

  • properties are now exposed at the top-level (legacy) h5features.write and h5features.read functions.

h5features-1.3.1

  • Bugfix: properties are now appendable to an existing group.

  • Bugfix: fixed issue #5.

h5features-1.3

  • Add an optional properties field in the dataset to store a dictionary of various entries (basically features parameters).

  • chunk_size is automatically computed by default in the writer.

  • New optional compression in h5features.Writer.

h5features-1.2.2

  • Bugfix: broken test on python-3.6.3.

  • Bugfix: missing files in MANIFEST.in for installation with pip install h5features.

h5features-1.2.1

  • The script convert2h5features is now installed by the setup script.

h5features-1.2

  • Breaking change Labels associated with features data must be sorted in increasing order. This is convenient to use with timestamps and improve reading huge datasets with long labels.

  • Breaking change Appending new data to an exisiting item is no more allowed.

    Suppose a h5f file with 3 items ['a', 'b', 'c'], in 1.1 it was possible to append 3 items ['c', 'd', 'e'], giving a file with the 5 items ['a', 'b', 'c', 'd', 'e'], where the item 'c' being the concatenation of original and appended data. That facility was messy and is removed in 1.2.

  • Bugfix when writing unidimensional features

  • Bugfix when reading from time/to time in Reader

  • Safely overwrite existing groups in h5features files with mode=’w’

  • Now more than 100 test cases

h5features-1.1

The main goal of the 1.1 release is to provide a better, safer and clearer code than previous release whithout changing the front-end API.

  • Object oriented refactoring

    An object oriented architecture have been coded. The main entry classes are Data, Reader and Writer.

  • Distinct overwrite/append mode

    Appending to an existing file is now optional. This allow minor optimzations but that make sense when data is big.

  • Change in the HDF5 file structure

    With group as the h5features root in a HDF5 file, the structure evolved from group/[files, times, features, file_index] to group/[items, labels, features, index]. These changes are done for clarity and consistency with code and usage.

  • Change in times/labels

    You can now write 2D labels to h5features.

  • Test suite

    The project is now endowed with a pytest suite of more than 50 unit tests.

  • Improved documentation

    This is what you are reading now!

h5features-1.0

Over the previous development release (0.1), the 1.0 release changes the underlying HDF5 file structure, add a version attribute and improve the index facilities.