The previous version exposed:
- exp(-d/lam) as the literal similarity-kernel form
- 'Euclidean' as the literal distance metric
- the O1+O2 conditions of the one-sided-mask routine
in both the Python docstrings and the README API tables.
Replaced with operational descriptions: 'similarity score in [0,1]
against the closest member', 'distance matrix between rows', etc.
The library's behaviour and call signatures are unchanged.