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from abc import ABC, abstractmethod
from typing import Any
from torch_geometric.data import Data
from torch_geometric.resolver import resolver
class MotifGenerator(ABC):
r"""An abstract base class for generating a motif."""
@abstractmethod
def __call__(self) -> Data:
r"""To be implemented by :class:`Motif` subclasses."""
@staticmethod
def resolve(query: Any, *args: Any, **kwargs: Any) -> 'MotifGenerator':
import torch_geometric.datasets.motif_generator as _motif_generators
motif_generators = [
gen for gen in vars(_motif_generators).values()
if isinstance(gen, type) and issubclass(gen, MotifGenerator)
]
return resolver(motif_generators, {}, query, MotifGenerator, 'Motif',
*args, **kwargs)
def __repr__(self) -> str:
return f'{self.__class__.__name__}()'
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