


import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
__UpperCamelCase				:  str      					=							[
    'kernels/rwkv/wkv_cuda.cu',
    'kernels/rwkv/wkv_op.cpp',
    'kernels/deformable_detr/ms_deform_attn.h',
    'kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh',
    'models/graphormer/algos_graphormer.pyx',
]
def      snake_case_						( __lowercase       ):
   # Test all the extensions added in the setup
   for file in FILES_TO_FIND:
      if not (transformers_path / file).exists():
         return False
   return True


if __name__ == "__main__":
       __UpperCamelCase				:  List[str]      					=							argparse.ArgumentParser()
       parser.add_argument('--check_lib', action='store_true', help='Whether to check the build or the actual package.')
       __UpperCamelCase				:  Dict      					=							parser.parse_args()
       if args.check_lib:
              __UpperCamelCase				:  List[str]      					=							importlib.import_module('transformers')
              __UpperCamelCase				:  str      					=							Path(transformers_module.__file__).parent
       else:
              __UpperCamelCase				:  List[Any]      					=							Path.cwd() / 'build/lib/transformers'
       if not test_custom_files_are_present(transformers_path):
              raise ValueError('The built release does not contain the custom files. Fix this before going further!')



from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def      snake_case_						( ):
   UpperCAmelCase_							:      str						=   HfArgumentParser(__lowercase       )
   UpperCAmelCase_							:      Optional[Any]						=   parser.parse_args_into_dataclasses()[0]
   UpperCAmelCase_							:      Optional[int]						=   TensorFlowBenchmark(args=__lowercase       )
   try:
      UpperCAmelCase_							:      List[Any]						=   parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      UpperCAmelCase_							:      List[Any]						=   '''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
      UpperCAmelCase_							:      List[str]						=   ''' '''.join(str(__lowercase       ).split(''' '''       )[:-1]       )
      UpperCAmelCase_							:      Optional[int]						=   ''''''
      UpperCAmelCase_							:      Dict						=   eval(str(__lowercase       ).split(''' '''       )[-1]       )
      UpperCAmelCase_							:      int						=   []
      for arg in depreciated_args:
         # arg[2:] removes '--'
         if arg[2:] in TensorFlowBenchmark.deprecated_args:
            # arg[5:] removes '--no_'
            full_error_msg += arg_error_msg.format(arg[5:]       )
         else:
            wrong_args.append(__lowercase       )
      if len(__lowercase       ) > 0:
         UpperCAmelCase_							:      Tuple						=   full_error_msg + begin_error_msg + str(__lowercase       )
      raise ValueError(__lowercase       )
   benchmark.run()


if __name__ == "__main__":
       main()