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

from get_test_info import get_tester_classes


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

			lowercase		:    Tuple			=       os.path.join('tests', 'models', '**', 'test_modeling_*.py')
			lowercase		:    int			=       glob.glob(pattern)
			# TODO: deal with TF/Flax too
			lowercase		:    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:
						lowercase		:    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:
												lowercase		:    Optional[int]			=       tester_class(parent=None)
									except Exception:
												continue
									if hasattr(tester, 'get_config'):
												lowercase		:    List[str]			=       tester.get_config()
												for k, v in config.to_dict().items():
															if isinstance(v, int):
																		lowercase		:    str			=       None
																		if k in ["vocab_size"]:
																					lowercase		:    List[str]			=       1_00
																		elif k in ["max_position_embeddings"]:
																					lowercase		:    Any			=       1_28
																		elif k in ["hidden_size", "d_model"]:
																					lowercase		:    str			=       40
																		elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
																					lowercase		:    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()

