






'''simple docstring'''







import argparse
from collections import defaultdict





def 		_UpperCAmelCase (				__A				: List[str]    ,		__A				: List[str]    ,		__A				: List[str]    ,		__A				: Any    ,		__A				: Union[str, Any]   ):
				a_		:	int									=   f'{file}_{class_name}_{test_name}'
				done_test[_id] += 1

				with open(__A    ,		'''r'''   ) as f:
								a_		:	Optional[int]									=   f.readlines()

				a_		:	int									=   f'class {class_name}('
				a_		:	str									=   f'{4 * " "}def {test_name}('
				a_		:	List[Any]									=   f'{8 * " "}{correct_line.split()[0]}'
				a_		:	Optional[Any]									=   f'{16 * " "}{correct_line.split()[0]}'
				a_		:	List[Any]									=   False
				a_		:	Union[str, Any]									=   False
				a_		:	str									=   False
				a_		:	Optional[Any]									=   False
				a_		:	Any									=   0
				a_		:	Tuple									=   0

				a_		:	List[str]									=   []
				for line in lines:
								if line.startswith(__A   ):
												a_		:	Dict									=   True
								elif in_class and line.startswith(__A   ):
												a_		:	Optional[int]									=   True
								elif in_class and in_func and (line.startswith(__A   ) or line.startswith(__A   )):
												a_		:	List[str]									=   len(line.split(correct_line.split()[0]   )[0]   )
												count += 1

												if count == done_test[_id]:
																a_		:	Tuple									=   True

								if in_class and in_func and in_line:
												if ")" not in line:
																continue
												else:
																a_		:	Union[str, Any]									=   True

								if in_class and in_func and in_line and insert_line:
												new_lines.append(f'{spaces * " "}{correct_line}'   )
												a_		:	List[str]									=   False
								else:
												new_lines.append(__A   )

				with open(__A    ,		'''w'''   ) as f:
								for line in new_lines:
												f.write(__A   )





def 		_UpperCAmelCase (				__A				: int    ,		__A				: Optional[Any]=None   ):
				if fail is not None:
								with open(__A    ,		'''r'''   ) as f:
												a_		:	Union[str, Any]									=   {l.strip() for l in f.readlines()}
				else:
								a_		:	Dict									=   None

				with open(__A    ,		'''r'''   ) as f:
								a_		:	str									=   f.readlines()

				a_		:	Dict									=   defaultdict(__A   )
				for line in correct_lines:
								a_					,      a_					,      a_					,      a_		:	Optional[Any]									=   line.split(''';'''   )
								if test_failures is None or "::".join([file, class_name, test_name]   ) in test_failures:
												overwrite_file(__A    ,		__A    ,		__A    ,		__A    ,		__A   )


if __name__ == "__main__":
		__lowerCAmelCase									=   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)
		__lowerCAmelCase									=   parser.parse_args()

		main(args.correct_filename, args.fail_filename)












'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase									=   {'configuration_sew': ['SEW_PRETRAINED_CONFIG_ARCHIVE_MAP', 'SEWConfig']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase									=   [
		    'SEW_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'SEWForCTC',
		    'SEWForSequenceClassification',
		    'SEWModel',
		    'SEWPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_sew import (
				    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SEWForCTC,
				    SEWForSequenceClassification,
				    SEWModel,
				    SEWPreTrainedModel,
				)


else:
		import sys

		__lowerCAmelCase									=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




