






"""simple docstring"""
import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
      A_     :					str							=     []

      A_     :					Tuple							=     os.path.join("tests", "models", "**", "test_modeling_*.py")
      A_     :					int							=     glob.glob(pattern)
      # TODO: deal with TF/Flax too
      A_     :					List[Any]							=     [
          x for x in test_files if not (x.startswith("test_modeling_tf_") or x.startswith("test_modeling_flax_"))
      ]

      for test_file in test_files:
            A_     :					Optional[int]							=     get_tester_classes(test_file)
            for tester_class in tester_classes:
                  # A few tester classes don't have `parent` parameter in `__init__`.
                  # TODO: deal this better
                  try:
                        A_     :					Optional[int]							=     tester_class(parent=None)
                  except Exception:
                        continue
                  if hasattr(tester, "get_config"):
                        A_     :					List[str]							=     tester.get_config()
                        for k, v in config.to_dict().items():
                              if isinstance(v, int):
                                    A_     :					str							=     None
                                    if k in ["vocab_size"]:
                                          A_     :					List[str]							=     1_00
                                    elif k in ["max_position_embeddings"]:
                                          A_     :					Any							=     1_28
                                    elif k in ["hidden_size", "d_model"]:
                                          A_     :					str							=     40
                                    elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
                                          A_     :					List[str]							=     5
                                    if target is not None and v > target:
                                          failures.append(
                                              f"{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`"
                                              f" with config[\"{k}\"] = {v} which is too large for testing! Set its value to be smaller"
                                              f" than {target}."
                                          )

      if len(failures) > 0:
            raise Exception(f"There were {len(failures)} failures:\n" + "\n".join(failures))









"""simple docstring"""
from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments






def 			lowerCamelCase_    (		):
 lowerCamelCase__	:     Tuple								=		HfArgumentParser(_lowerCamelCase							)
 try:
  lowerCamelCase__	:     Dict								=		parser.parse_args_into_dataclasses()[0]
 except ValueError as e:
  lowerCamelCase__	:     Optional[int]								=		'Arg --no_{0} is no longer used, please use --no-{0} instead.'
  lowerCamelCase__	:     Optional[Any]								=		' '.join(str(_lowerCamelCase							).split(' '							)[:-1]							)
  lowerCamelCase__	:     int								=		''
  lowerCamelCase__	:     Optional[int]								=		eval(str(_lowerCamelCase							).split(' '							)[-1]							)
  lowerCamelCase__	:     Tuple								=		[]
  for arg in depreciated_args:
   # arg[2:] removes '--'
   if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
    # arg[5:] removes '--no_'
    full_error_msg += arg_error_msg.format(arg[5:]							)
   else:
    wrong_args.append(_lowerCamelCase							)
  if len(_lowerCamelCase							) > 0:
   lowerCamelCase__	:     Optional[int]								=		full_error_msg + begin_error_msg + str(_lowerCamelCase							)
  raise ValueError(_lowerCamelCase							)

 lowerCamelCase__	:     Any								=		PyTorchBenchmark(args=_lowerCamelCase							)
 benchmark.run()


if __name__ == "__main__":
      main()

