in graphlearn_torch/python/utils/mixin.py [0:0]
def cast(cls, *args, **kwargs):
if len(args) == 1 and len(kwargs) == 0:
elem = args[0]
if elem is None:
return None
if isinstance(elem, CastMixin):
return elem
if isinstance(elem, (tuple, list)):
return cls(*elem)
if isinstance(elem, dict):
return cls(**elem)
return cls(*args, **kwargs)