


"""simple docstring"""




import argparse
from collections import defaultdict


def        lowercase     (SCREAMING_SNAKE_CASE_						:							Union[str, Any]					,     SCREAMING_SNAKE_CASE_						:							List[Any]					,     SCREAMING_SNAKE_CASE_						:							List[Any]					,     SCREAMING_SNAKE_CASE_						:							Optional[int]					,     SCREAMING_SNAKE_CASE_						:							Any    )  ->		List[Any]:
						SCREAMING_SNAKE_CASE						=   F'{file}_{class_name}_{test_name}'
						done_test[_id] += 1

						with open(_SCREAMING_SNAKE_CASE					,     'r'    ) as f:
												SCREAMING_SNAKE_CASE						=   f.readlines()

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

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

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

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

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

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


def        lowercase     (SCREAMING_SNAKE_CASE_						:							Optional[Any]					,     SCREAMING_SNAKE_CASE_						:							Optional[int]=None    )  ->		Dict:
						if fail is not None:
												with open(_SCREAMING_SNAKE_CASE					,     'r'    ) as f:
																		SCREAMING_SNAKE_CASE						=   {l.strip() for l in f.readlines()}
						else:
												SCREAMING_SNAKE_CASE						=   None

						with open(_SCREAMING_SNAKE_CASE					,     'r'    ) as f:
												SCREAMING_SNAKE_CASE						=   f.readlines()

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


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_torch_available, is_vision_available


SCREAMING_SNAKE_CASE		:     Union[str, Any]         =	{
    "configuration_bridgetower": [
        "BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BridgeTowerConfig",
        "BridgeTowerTextConfig",
        "BridgeTowerVisionConfig",
    ],
    "processing_bridgetower": ["BridgeTowerProcessor"],
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	SCREAMING_SNAKE_CASE		:     Optional[Any]         =	["BridgeTowerImageProcessor"]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	SCREAMING_SNAKE_CASE		:     Tuple         =	[
	    "BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "BridgeTowerForContrastiveLearning",
	    "BridgeTowerForImageAndTextRetrieval",
	    "BridgeTowerForMaskedLM",
	    "BridgeTowerModel",
	    "BridgeTowerPreTrainedModel",
	]


if TYPE_CHECKING:
	from .configuration_bridgetower import (
	    BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    BridgeTowerConfig,
	    BridgeTowerTextConfig,
	    BridgeTowerVisionConfig,
	)
	from .processing_bridgetower import BridgeTowerProcessor

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_bridgetower import BridgeTowerImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_bridgetower import (
		    BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    BridgeTowerForContrastiveLearning,
		    BridgeTowerForImageAndTextRetrieval,
		    BridgeTowerForMaskedLM,
		    BridgeTowerModel,
		    BridgeTowerPreTrainedModel,
		)


else:
	import sys

	SCREAMING_SNAKE_CASE		:     List[Any]         =	_LazyModule(__name__, globals()["__file__"], _import_structure)






