code: def synchronized(func, *args, **kwargs):
      """Decorator to synchronize the multi-threaded calls to `Oracle` functions.
  
      In parallel tuning, there may be concurrent gRPC calls from multiple threads
      to the `Oracle` methods like `create_trial()`, `update_trial()`, and
      `end_trial()`. To avoid concurrent writing to the data, use `@synchronized`
      to ensure the calls are synchronized, which only allows one call to run at a
      time.
  
      Concurrent calls to different `Oracle` objects would not block one another.
      Concurrent calls to the same or different functions of the same `Oracle`
      object would block one another.
  
      You can decorate a subclass function, which overrides an already decorated
      function in the base class, without worrying about creating a deadlock.
      However, the decorator only support methods within classes, and cannot be
      applied to standalone functions.
  
      You do not need to decorate `Oracle.populate_space()`, which is only
      called by `Oracle.create_trial()`, which is decorated.
  
      Example:
  
      ```py
      class MyOracle(keras_tuner.Oracle):
          @keras_tuner.synchronized
          def create_trial(self, tuner_id):
              super().create_trial(tuner_id)
              ...
  
          @keras_tuner.synchronized
          def update_trial(self, trial_id, metrics, step=0):
              super().update_trial(trial_id, metrics, step)
              ...
  
          @keras_tuner.synchronized
          def end_trial(self, trial):
              super().end_trial(trial)
              ...
      ```
      """
  
      def backward_compatible_end_trial(self, trial_id, status):
          trial = trial_module.Trial(self.get_space(), trial_id, status)
          return [self, trial], {}
  
      def wrapped_func(*args, **kwargs):
          # For backward compatible with the old end_trial signature:
          # def end_trial(self, trial_id, status="COMPLETED"):
          if func.__name__ == "end_trial" and (
              "trial_id" in kwargs
              or "status" in kwargs
              or isinstance(args[1], str)
          ):
              args, kwargs = backward_compatible_end_trial(
                  *args, **kwargs
              )
  
          oracle = args[0]
          thread_name = threading.currentThread().getName()
          need_acquire = THREADS[oracle] != thread_name
  
          if need_acquire:
              LOCKS[oracle].acquire()
              THREADS[oracle] = thread_name
          ret_val = func(*args, **kwargs)
          if need_acquire:
              THREADS[oracle] = None
              LOCKS[oracle].release()
          return ret_val
  
      return wrapped_func
  
imports: import collections
  import hashlib
  import os
  import random
  import threading
  import warnings
  from datetime import datetime
  import numpy
  from keras_tuner import backend
  from keras_tuner import utils
  from keras_tuner.api_export import keras_tuner_export
  from keras_tuner.engine import hyperparameters
  from keras_tuner.engine import objective
  from keras_tuner.engine import stateful
  from keras_tuner.engine import trial
label_desc: Use image node_id 1 for calling a global function with example usage: synchronized(func) and returns: wrapped_func, list,  dict, ret_val