code: def get(identifier):
      """Retrieve a Keras activation function via an identifier."""
      if identifier is None:
          return linear
      if isinstance(identifier, dict):
          obj = deserialize(identifier)
      elif isinstance(identifier, str):
          obj = ALL_OBJECTS_DICT.get(identifier, None)
      else:
          obj = identifier
      if callable(obj):
          return obj
      raise ValueError(
          f"Could not interpret activation function identifier: {identifier}"
      )
  
imports: import types
  from keras.activations.activations import elu
  from keras.activations.activations import exponential
  from keras.activations.activations import gelu
  from keras.activations.activations import hard_sigmoid
  from keras.activations.activations import hard_silu
  from keras.activations.activations import leaky_relu
  from keras.activations.activations import linear
  from keras.activations.activations import log_softmax
  from keras.activations.activations import mish
  from keras.activations.activations import relu
  from keras.activations.activations import relu6
  from keras.activations.activations import selu
  from keras.activations.activations import sigmoid
  from keras.activations.activations import silu
  from keras.activations.activations import softmax
  from keras.activations.activations import softplus
  from keras.activations.activations import softsign
  from keras.activations.activations import tanh
  from keras.api_export import keras_export
  from keras.saving import object_registration
  from keras.saving import serialization_lib
label_desc: Use image node_id 3 for calling a global function with example usage: get(identifier) and returns: linear, obj