Bugfix: no more size limitation on properties.
properties are now exposed at the top-level (legacy)
Bugfix: properties are now appendable to an existing group.
Bugfix: fixed issue #5.
Add an optional properties field in the dataset to store a dictionary of various entries (basically features parameters).
chunk_sizeis automatically computed by default in the writer.
New optional compression in
Bugfix: broken test on python-3.6.3.
Bugfix: missing files in MANIFEST.in for installation with pip install h5features.
convert2h5featuresis now installed by the setup script.
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
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.
The project is now endowed with a pytest suite of more than 50 unit tests.
This is what you are reading now!
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.