



"""simple docstring"""







import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate

@dataclass(frozen=SCREAMING_SNAKE_CASE__)
class       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     field(default="""automatic-speech-recognition"""     ,	metadata={"""include_in_asdict_even_if_is_default""": True})
			__magic_name__     					=     Features({"""audio""": Audio()})
			__magic_name__     					=     Features({"""transcription""": Value("""string""")})
			__magic_name__     					=     """audio"""
			__magic_name__     					=     """transcription"""



			def 				__lowercase					(			self							:				Optional[Any]   ,	_lowercase							:				Dict		)							->					Union[str, Any]:




									if self.audio_column not in features:
															raise ValueError(F'''Column {self.audio_column} is not present in features.'''		)
									if not isinstance(features[self.audio_column]   ,	A_		):
															raise ValueError(F'''Column {self.audio_column} is not an Audio type.'''		)
									snake_case   :			List[str]						    = copy.deepcopy(self		)
									snake_case   :			Dict						    = self.input_schema.copy()
									snake_case   :			str						    = features[self.audio_column]
									snake_case   :			Dict						    = input_schema
									return task_template



			@property
			def 				__lowercase					(			self							:				int		)							->					Dict[str, str]:
									return {self.audio_column: "audio", self.transcription_column: "transcription"}





"""simple docstring"""




import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
A__ :       Optional[int]				= [
    '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 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  for file in FILES_TO_FIND:
    if not (transformers_path / file).exists():
      return False
  return True


if __name__ == "__main__":
  A__ :       List[Any]				= argparse.ArgumentParser()
  parser.add_argument('--check_lib', action='store_true', help='Whether to check the build or the actual package.')
  A__ :       Optional[int]				= parser.parse_args()
  if args.check_lib:
    A__ :       Union[str, Any]				= importlib.import_module('transformers')
    A__ :       Optional[Any]				= Path(transformers_module.__file__).parent
  else:
    A__ :       str				= 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!')
