"""simple docstring"""







import argparse
from collections import defaultdict
def   __UpperCAmelCase    (   UpperCAmelCase_   :    Any      ,							UpperCAmelCase_   :    Union[str, Any]      ,							UpperCAmelCase_   :    List[str]      ,							UpperCAmelCase_   :    List[Any]      ,							UpperCAmelCase_   :    Union[str, Any]  )							->      int:

	'''simple docstring'''





	__snake_case      :							Optional[Any]						=			F"{file}_{class_name}_{test_name}"
	done_test[_id] += 1

	with open(UpperCAmelCase_      ,							'r'  ) as f:
		__snake_case      :							Union[str, Any]						=			f.readlines()

	__snake_case      :							List[str]						=			F"class {class_name}("
	__snake_case      :							str						=			F"{4 * ' '}def {test_name}("
	__snake_case      :							str						=			F"{8 * ' '}{correct_line.split()[0]}"
	__snake_case      :							List[str]						=			F"{16 * ' '}{correct_line.split()[0]}"
	__snake_case      :							Dict						=			False
	__snake_case      :							Tuple						=			False
	__snake_case      :							int						=			False
	__snake_case      :							List[Any]						=			False
	__snake_case      :							Tuple						=			0
	__snake_case      :							Any						=			0

	__snake_case      :							Tuple						=			[]
	for line in lines:
		if line.startswith(UpperCAmelCase_  ):
			__snake_case      :							Any						=			True
		elif in_class and line.startswith(UpperCAmelCase_  ):
			__snake_case      :							List[str]						=			True
		elif in_class and in_func and (line.startswith(UpperCAmelCase_  ) or line.startswith(UpperCAmelCase_  )):
			__snake_case      :							Union[str, Any]						=			len(line.split(correct_line.split()[0]  )[0]  )
			count += 1

			if count == done_test[_id]:
				__snake_case      :							str						=			True

		if in_class and in_func and in_line:
			if ")" not in line:
				continue
			else:
				__snake_case      :							Tuple						=			True

		if in_class and in_func and in_line and insert_line:
			new_lines.append(F"{spaces * ' '}{correct_line}"  )
			__snake_case      :							Optional[int]						=			False
		else:
			new_lines.append(UpperCAmelCase_  )

	with open(UpperCAmelCase_      ,							'w'  ) as f:
		for line in new_lines:
			f.write(UpperCAmelCase_  )
def   __UpperCAmelCase    (   UpperCAmelCase_   :    Optional[Any]      ,							UpperCAmelCase_   :    int=None  )							->      str:

	'''simple docstring'''





	if fail is not None:
		with open(UpperCAmelCase_      ,							'r'  ) as f:
			__snake_case      :							Dict						=			{l.strip() for l in f.readlines()}
	else:
		__snake_case      :							int						=			None

	with open(UpperCAmelCase_      ,							'r'  ) as f:
		__snake_case      :							int						=			f.readlines()

	__snake_case      :							Tuple						=			defaultdict(UpperCAmelCase_  )
	for line in correct_lines:
		__snake_case		,    __snake_case		,    __snake_case		,    __snake_case      :							int						=			line.split(';'  )
		if test_failures is None or "::".join([file, class_name, test_name]  ) in test_failures:
			overwrite_file(UpperCAmelCase_      ,							UpperCAmelCase_      ,							UpperCAmelCase_      ,							UpperCAmelCase_      ,							UpperCAmelCase_  )


if __name__ == "__main__":
	_a					:					Dict=			argparse.ArgumentParser()
	parser.add_argument("--correct_filename", help="filename of tests with expected result")
	parser.add_argument("--fail_filename", help="filename of test failures", type=str, default=None)
	_a					:					Any=			parser.parse_args()

	main(args.correct_filename, args.fail_filename)






"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


_a					:					Tuple=			logging.get_logger(__name__)

class 		UpperCamelCase      (   lowercase						):



				def __init__(self    :				int     ,  *_A    :				str     ,  **_A    :				List[str])   ->     None:
					warnings.warn(
					    'The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
					    ' Please use VideoMAEImageProcessor instead.'     ,  _A     ,  )
					super().__init__(*_A     ,  **_A)





