code: def exec_module(self, module):
      super().exec_module(module)
  
      #################### Trace `Initializer` Descendants/Aliases ####################
      requirements = [
          lambda _: isinstance(_, type),
          lambda _: issubclass(_, module.Initializer),
          lambda _: not issubclass(_, module.VarianceScaling),
          lambda _: not (
              (_ is module.Initializer) or (_ is module.VarianceScaling)
          ),
      ]
  
      child_classes = {
          k: v
          for k, v in vars(module).items()
          if all(_(v) for _ in requirements)
      }
      # Need keys and values to handle class aliases (like `Zeros` = `zeros` = `zero`)
      # Otherwise, we just trace `Zeros` 3x, which may not sound like a problem, but it is
      for child_class_name, child_class in child_classes.items():
          setattr(
              module,
              child_class_name,
              ArgumentTracer(
                  child_class_name,
                  child_class.__bases__,
                  child_class.__dict__,
              ),
          )
  
      #################### Trace `VarianceScaling` ####################
      module.VarianceScaling = LocationTracer(
          module.VarianceScaling.__name__,
          module.VarianceScaling.__bases__,
          module.VarianceScaling.__dict__,
      )
  
      return module
  
file_path: hyperparameter_hunter/hyperparameter_hunter/importer.py
imports: from hyperparameter_hunter.settings import G
  from hyperparameter_hunter.tracers import ArgumentTracer, LocationTracer
  from importlib.machinery import PathFinder, ModuleSpec, SourceFileLoader
  from pkg_resources import get_distribution
  import sys
label_desc: Use image node_id 1 for calling the KerasMultiInitializerLoader obj's underlying member method code with example usage: obj.exec_module(module) and returns: module