code: def get(identifier):
      if isinstance(identifier, type):
          return identifier()
      if isinstance(identifier, str):
          global _known_optimizers
          optimizer = _known_optimizers.get(identifier, None)
          if optimizer is not None:
              return optimizer()
      return identifier
  
file_path: tf-encrypted/tf_encrypted/keras/optimizers.py
imports: import numpy
  import tensorflow
  import tf_encrypted
label_desc: Use image node_id 1 for calling a global function with example usage: get(identifier) and returns: identifier, identifier, optimizer