rics.mapping.score_functions

Functions which return a likeness score.

Functions

equality(value, candidates, context)	Return 1.0 if k == c_i, 0.0 otherwise.
modified_hamming(name, candidates, context)	Compute hamming distance modified by length ratio, from the back.

modified_hamming(name: str, candidates: Iterable[str], context: Optional[ContextType]) → Iterable[float]

Compute hamming distance modified by length ratio, from the back.

Examples

>>> from rics.mapping.score_functions import modified_hamming
>>> print(list(modified_hamming('aa', ['aa', 'a', 'ab'], context=None)))
[1.0, 0.5, 0.5]
>>> print(list(modified_hamming('face', ['face', 'FAce', 'race', 'place'], context=None)))
[1.0, 0.5, 0.75, 0.375]

equality(value: ValueType, candidates: Iterable[CandidateType], context: Optional[ContextType]) → Iterable[float]

Return 1.0 if k == c_i, 0.0 otherwise.

Examples

>>> from rics.mapping.score_functions import equality
>>> print(list(equality('a', 'aAb', context=None)))
[1.0, 0.0, 0.0]