code: def tfds_import(
      *,
      metadata: call_metadata.CallMetadata,
      import_time_ms_tensorflow: int,
      import_time_ms_dataset_builders: int,
  ):
      """Call `tfds_import` on registered loggers.
  
      Given the number of operations which can be done at import time should be
      limited, here the registered loggers calls are deferred and done either:
       - on the following call to one of the logging method; or
       - at exit time.
  
      Args:
        metadata: metadata associated to import operation.
        import_time_ms_tensorflow: time (ms) it took to import TF.
        import_time_ms_dataset_builders: time (ms) it took to import DatasetBuilder
          modules.
      """
      with _import_operations_lock:
          _import_operations.append(
              (
                  metadata,
                  import_time_ms_tensorflow,
                  import_time_ms_dataset_builders,
              )
          )
  
imports: import abc
  import atexit
  import collections
  import functools
  import threading
  from typing import Any, Callable, Dict, List, Optional, Tuple, TypeVar
  from absl import flags
  from tensorflow_datasets.core.logging import base_logger
  from tensorflow_datasets.core.logging import call_metadata
  from tensorflow_datasets.core.logging import logging_logger
  import wrapt
label_desc: Use image node_id 6 for calling a global function with example usage: tfds_import() without return types