code: def __init__(self, values=None, tracker=None):
      self.tracker = tracker
      if tracker and values:
          values = [tracker.track(v) for v in values]
      super().__init__(values or [])
  
imports: from functools import wraps
  from keras.backend.common.global_state import get_global_attribute
  from keras.backend.common.global_state import set_global_attribute
  from keras.utils import python_utils
label_desc: Use image node_id 1 to create a new TrackedList object from inherited base classes: list with example: obj = TrackedList(values, tracker)