code: def map_container_variables(container, store, visited_trackables):
      if isinstance(container, dict):
          container = list(container.values())
  
      for trackable in container:
          if saving_lib._is_keras_trackable(trackable):
              map_trackable_variables(
                  trackable,
                  store,
                  visited_trackables=visited_trackables,
              )
  
imports: from keras.layers.layer import Layer
  from keras.metrics.metric import Metric
  from keras.optimizers.optimizer import Optimizer
  from keras.saving import saving_lib
label_desc: Use image node_id 2 for calling a global function with example usage: map_container_variables(container, store, visited_trackables) without return types