SIM_METHOD_TO_SCORER
- emmet.builders.materials.similarity.SIM_METHOD_TO_SCORER: dict[SimilarityMethod, type[SimilarityScorer]] = {SimilarityMethod.CRYSTALNN: <class 'emmet.core.similarity.CrystalNNSimilarity'>, SimilarityMethod.M3GNET: <class 'emmet.core.similarity.M3GNetSimilarity'>}
dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s
(key, value) pairs
- dict(iterable) -> new dictionary initialized as if via:
d = {} for k, v in iterable:
d[k] = v
- dict(**kwargs) -> new dictionary initialized with the name=value pairs
in the keyword argument list. For example: dict(one=1, two=2)