code: def register_feature(name):
      def register_feature_cls(cls):
          if name in FEATURE_DICT:
              raise ValueError(
                  "Cannot register duplicate feature engineer ({})".format(
                      name
                  )
              )
          # if not issubclass(cls, BaseFeatureEngineer):
          if not issubclass(cls, BaseFeature):
              raise ValueError(
                  "Trainer ({}: {}) must extend BaseFeatureEngineer".format(
                      name, cls.__name__
                  )
              )
          FEATURE_DICT[name] = cls
          return cls
  
      return register_feature_cls
  
imports: from .base import BaseFeature
  from .base import BaseFeatureEngineer
  from .auto_feature import AutoFeatureEngineer
  from .generators import BaseGenerator, GeGraphlet, GeEigen, GePageRank, register_pyg, pygfunc, PYGGenerator, PYGLocalDegreeProfile, PYGNormalizeFeatures, PYGOneHotDegree
  from .selectors import BaseSelector, SeFilterConstant, SeGBDT
  from .graph import BaseGraph, SgNetLSD, register_nx, NxGraph, nxfunc, NxLargeCliqueSize, NxAverageClusteringApproximate, NxDegreeAssortativityCoefficient, NxDegreePearsonCorrelationCoefficient, NxHasBridge, NxGraphCliqueNumber, NxGraphNumberOfCliques, NxTransitivity, NxAverageClustering, NxIsConnected, NxNumberConnectedComponents, NxIsDistanceRegular, NxLocalEfficiency, NxGlobalEfficiency, NxIsEulerian
label_desc: Use image node_id 1 for calling a global function with example usage: register_feature(name) and returns: register_feature_cls, cls