code: def __init__(self, factor, dense=None, activation=None):
      super().__init__()
      self.factor = factor
  
      if dense is None:
          self.dense = keras.layers.Dense(1, activation=custom_fn)
      else:
          self.dense = serialization_lib.deserialize_keras_object(dense)
      self.activation = serialization_lib.deserialize_keras_object(
          activation
      )
  
imports: import json
  import numpy
  import pytest
  import keras
  from keras import ops
  from keras import testing
  from keras.saving import serialization_lib
label_desc: Use image node_id 1 to create a new NestedCustomLayer object from inherited base classes: keras.layers with example: obj = NestedCustomLayer(factor, dense, activation)