code: def _try_import(module_name):
      """Try importing a module, with an informative error message on failure."""
      try:
          mod = importlib.import_module(module_name)
          return mod
      except ImportError as e:
          err_msg = (
              "Failed importing {name}. This likely means that the dataset "
              "requires additional dependencies that have to be "
              "manually installed (usually with `pip install {name}`). See "
              "setup.py extras_require."
          ).format(name=module_name)
          utils.reraise(e, suffix=err_msg)
  
imports: import functools
  import importlib
  from typing import Any, Callable, TypeVar
  from tensorflow_datasets.core.utils import py_utils
label_desc: Use image node_id 1 for calling a global function with example usage: _try_import(module_name) and returns: mod