0.6.1

free disk space in github runner

0.6.0

Bump to PyTorch 2.9

Default supported PyTorch version is now 2.9.
If you use a different version, download one of the wheels below.

Notice:
We will start using PyTorch Stable ABI for the DTW extension starting in version 2.10.
This means that we will be able to build a single wheel compatible with every PyTorch variant >= 2.10 for a given platform, but the minimum supported version will therefore become version 2.10.

0.5.5

Fix usage of to_decimal with polars 1.34

0.5.4

Internal changes:

• To build the Dataset, files are now identified by their relative path to the root directory, not just by the filename
• Removed the read_item function for more flexibility in reading .item files
• Add a utility script to unpack concatenated fairseq features
• Use setuptools-scm to extract package version from Git
• Fix build and release workflow

0.5.3

fix reading of item files for polars 1.33.0

0.5.2

• Add the constraints parameter to Score which allows for fine-grain filtering of the triplets inside each cell.
• See https://docs.cognitive-ml.fr/fastabx/examples/constraints.html for more details.

(Version 0.5.1 was removed as there was a bug in the masking when the task was symmetric)

0.5.0

• The default PyTorch version is now 2.8.0. Wheels built with other versions are available in the Releases page.
• Now checks for empty features when building the dataset (681b49f)

0.4.1

remove default values for max_size_group and max_x_across

0.4.0

bump version

0.3.1

remove default seed in subsampling functions