import argparse
from collections import defaultdict






def     lowerCAmelCase_			(   _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			):
						UpperCamelCase_		:							str  =		f'''{file}_{class_name}_{test_name}'''
						done_test[_id] += 1

						with open(_SCREAMING_SNAKE_CASE		, """r"""			) as f:
												UpperCamelCase_		:							Optional[int]  =		f.readlines()

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

						UpperCamelCase_		:							Optional[Any]  =		[]
						for line in lines:
												if line.startswith(_SCREAMING_SNAKE_CASE			):
																		UpperCamelCase_		:							Dict  =		True
												elif in_class and line.startswith(_SCREAMING_SNAKE_CASE			):
																		UpperCamelCase_		:							int  =		True
												elif in_class and in_func and (line.startswith(_SCREAMING_SNAKE_CASE			) or line.startswith(_SCREAMING_SNAKE_CASE			)):
																		UpperCamelCase_		:							Union[str, Any]  =		len(line.split(correct_line.split()[0]			)[0]			)
																		count += 1

																		if count == done_test[_id]:
																								UpperCamelCase_		:							Union[str, Any]  =		True

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

												if in_class and in_func and in_line and insert_line:
																		new_lines.append(f'''{spaces * " "}{correct_line}'''			)
																		UpperCamelCase_		:							Optional[int]  =		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     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				Optional[Any]		, _SCREAMING_SNAKE_CASE     :				Optional[int]=None			):
						if fail is not None:
												with open(_SCREAMING_SNAKE_CASE		, """r"""			) as f:
																		UpperCamelCase_		:							Dict  =		{l.strip() for l in f.readlines()}
						else:
												UpperCamelCase_		:							Tuple  =		None

						with open(_SCREAMING_SNAKE_CASE		, """r"""			) as f:
												UpperCamelCase_		:							Optional[Any]  =		f.readlines()

						UpperCamelCase_		:							Optional[Any]  =		defaultdict(_SCREAMING_SNAKE_CASE			)
						for line in correct_lines:
												UpperCamelCase_,UpperCamelCase_,UpperCamelCase_,UpperCamelCase_		:							str  =		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__":
	SCREAMING_SNAKE_CASE		:     Union[str, 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)
	SCREAMING_SNAKE_CASE		:     List[str]         =	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)






