



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case     :Optional[Any]			       =logging.get_logger(__name__)



class        lowerCAmelCase__					(  _lowerCamelCase       ):
				A_   :     List[str]								=     'encoder-decoder'
				A_   :     Dict								=     True


				def __init__(							self      :  Dict						, **__UpperCamelCase      :  str       )		->     Any:
											super().__init__(**__UpperCamelCase       )
											assert (
											    "encoder" in kwargs and "decoder" in kwargs
											), "Config has to be initialized with encoder and decoder config"
											A      						=    kwargs.pop('encoder'       )
											A      						=    encoder_config.pop('model_type'       )
											A      						=    kwargs.pop('decoder'       )
											A      						=    decoder_config.pop('model_type'       )

											from ..auto.configuration_auto import AutoConfig

											A      						=    AutoConfig.for_model(__UpperCamelCase						, **__UpperCamelCase       )
											A      						=    AutoConfig.for_model(__UpperCamelCase						, **__UpperCamelCase       )
											A      						=    True


				@classmethod
				def __UpperCamelCase						(							cls      :  Optional[int]						, __UpperCamelCase      :  PretrainedConfig						, __UpperCamelCase      :  PretrainedConfig						, **__UpperCamelCase      :  List[str]       )		->     PretrainedConfig:
											logger.info('Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'       )
											A      						=    True
											A      						=    True

											return cls(encoder=encoder_config.to_dict()						, decoder=decoder_config.to_dict()						, **__UpperCamelCase       )


				def __UpperCamelCase						(							self      :  Dict       )		->     List[str]:
											A      						=    copy.deepcopy(self.__dict__       )
											A      						=    self.encoder.to_dict()
											A      						=    self.decoder.to_dict()
											A      						=    self.__class__.model_type
											return output




import argparse
from collections import defaultdict






def  lowerCamelCase_	(      lowerCAmelCase__	:	List[str]			,	lowerCAmelCase__	:	List[str]			,	lowerCAmelCase__	:	Tuple			,	lowerCAmelCase__	:	Optional[int]			,	lowerCAmelCase__	:	List[str]				)       ->							Union[str, Any]:

							'''simple docstring'''






							A      						=    F'''{file}_{class_name}_{test_name}'''
							done_test[_id] += 1

							with open(lowerCAmelCase__			,	'r'				) as f:
														A      						=    f.readlines()

							A      						=    F'''class {class_name}('''
							A      						=    F'''{4 * " "}def {test_name}('''
							A      						=    F'''{8 * " "}{correct_line.split()[0]}'''
							A      						=    F'''{16 * " "}{correct_line.split()[0]}'''
							A      						=    False
							A      						=    False
							A      						=    False
							A      						=    False
							A      						=    0
							A      						=    0

							A      						=    []
							for line in lines:
														if line.startswith(lowerCAmelCase__				):
																					A      						=    True
														elif in_class and line.startswith(lowerCAmelCase__				):
																					A      						=    True
														elif in_class and in_func and (line.startswith(lowerCAmelCase__				) or line.startswith(lowerCAmelCase__				)):
																					A      						=    len(line.split(correct_line.split()[0]				)[0]				)
																					count += 1

																					if count == done_test[_id]:
																												A      						=    True

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

														if in_class and in_func and in_line and insert_line:
																					new_lines.append(F'''{spaces * " "}{correct_line}'''				)
																					A      						=    A      						=    A      						=    A      						=    False
														else:
																					new_lines.append(lowerCAmelCase__				)

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






def  lowerCamelCase_	(      lowerCAmelCase__	:	str			,	lowerCAmelCase__	:	Tuple=None				)       ->							Union[str, Any]:

							'''simple docstring'''






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

							with open(lowerCAmelCase__			,	'r'				) as f:
														A      						=    f.readlines()

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


if __name__ == "__main__":
				__snake_case     :List[Any]			       =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)
				__snake_case     :Optional[int]			       =parser.parse_args()

				main(args.correct_filename, args.fail_filename)