class_docstr: Interface for wrappers around analyzers
  
  This class is the basic interface for wrappers around analyzers.
  
  :param subanalyzer: The analyzer to be wrapped.
code: def analyze(self, *args, **kwargs):
      return self._subanalyzer.analyze(*args, **kwargs)
  
imports: from __future__ import annotations
  import numpy
  import tensorflow.keras.backend
  import tensorflow.keras.layers
  import tensorflow.keras.models
  import innvestigate.backend
  import innvestigate.layers
  from innvestigate.analyzer.base import AnalyzerBase
  from innvestigate.analyzer.network_base import AnalyzerNetworkBase
  from innvestigate.backend.types import OptionalList, Tensor
label_desc: Use image node_id 2 for calling the WrapperBase obj's underlying member method code with example usage: obj.analyze() and returns: self