CN_TARGET_MOTIF_OP

emmet.core.featurization.featurizers.CN_TARGET_MOTIF_OP: dict[int, list[str]] = {1: ['sgl_bd'], 2: ['L-shaped', 'water-like', 'bent 120 degrees', 'bent 150 degrees', 'linear'], 3: ['trigonal planar', 'trigonal non-coplanar', 'T-shaped'], 4: ['square co-planar', 'tetrahedral', 'rectangular see-saw-like', 'see-saw-like', 'trigonal pyramidal'], 5: ['pentagonal planar', 'square pyramidal', 'trigonal bipyramidal'], 6: ['hexagonal planar', 'octahedral', 'pentagonal pyramidal'], 7: ['hexagonal pyramidal', 'pentagonal bipyramidal'], 8: ['body-centered cubic', 'hexagonal bipyramidal'], 9: ['q2', 'q4', 'q6'], 10: ['q2', 'q4', 'q6'], 11: ['q2', 'q4', 'q6'], 12: ['cuboctahedral', 'q2', 'q4', 'q6']}

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)