




import argparse
from collections import defaultdict







def 		_A(       UpperCamelCase__							:			List[str]				,       UpperCamelCase__							:			List[Any]				,       UpperCamelCase__							:			str				,       UpperCamelCase__							:			Optional[Any]				,       UpperCamelCase__							:			List[Any]				)    -> int:
							'''simple docstring'''


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

							with open(_lowercase				,       '''r'''				) as f:
														__lowercase      =    f.readlines()

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

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

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

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

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

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







def 		_A(       UpperCamelCase__							:			List[Any]				,       UpperCamelCase__							:			List[str]=None				)    -> Dict:
							'''simple docstring'''


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

							with open(_lowercase				,       '''r'''				) as f:
														__lowercase      =    f.readlines()

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


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

			main(args.correct_filename, args.fail_filename)











from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase__				     = {
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__				     = [
			    "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "M2M100ForConditionalGeneration",
			    "M2M100Model",
			    "M2M100PreTrainedModel",
			]


if TYPE_CHECKING:
			from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
			from .tokenization_mam_aaa import MaMaaaTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mam_aaa import (
						    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
						    MaMaaaForConditionalGeneration,
						    MaMaaaModel,
						    MaMaaaPreTrainedModel,
						)


else:
			import sys

			UpperCAmelCase__				     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






