code: def __init__(self, *args, **kwargs):
      self.args = tree.map_structure(lambda x: x, args)
      self.kwargs = tree.map_structure(lambda x: x, kwargs)
      self._flat_arguments = tree.flatten((self.args, self.kwargs))
  
      # Used to avoid expensive `tree` operations in the most common case.
      if (
          not self.kwargs
          and len(self.args) == 1
          and isinstance(self.args[0], KerasTensor)
      ):
          self._single_positional_tensor = self.args[0]
      else:
          self._single_positional_tensor = None
  
      self.keras_tensors = []
      for arg in self._flat_arguments:
          if isinstance(arg, KerasTensor):
              self.keras_tensors.append(arg)
  
imports: import tree
  from keras.backend import KerasTensor
label_desc: Use image node_id 1 to create a new SymbolicArguments object  with example: obj = SymbolicArguments()