"""simple docstring"""





import argparse
from collections import defaultdict



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    int:
							_SCREAMING_SNAKE_CASE		:						str			  =    F"""{file}_{class_name}_{test_name}"""
							done_test[_id] += 1

							with open(__SCREAMING_SNAKE_CASE     ,	"""r"""  ) as f:
														_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    f.readlines()

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

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

																					if count == done_test[_id]:
																												_SCREAMING_SNAKE_CASE		:						int			  =    True

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

														if in_class and in_func and in_line and insert_line:
																					new_lines.append(F"""{spaces * " "}{correct_line}"""  )
																					_SCREAMING_SNAKE_CASE		:						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     ,	__SCREAMING_SNAKE_CASE=None  )->    Optional[Any]:
							if fail is not None:
														with open(__SCREAMING_SNAKE_CASE     ,	"""r"""  ) as f:
																					_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    {l.strip() for l in f.readlines()}
							else:
														_SCREAMING_SNAKE_CASE		:						str			  =    None

							with open(__SCREAMING_SNAKE_CASE     ,	"""r"""  ) as f:
														_SCREAMING_SNAKE_CASE		:						str			  =    f.readlines()

							_SCREAMING_SNAKE_CASE		:						str			  =    defaultdict(__SCREAMING_SNAKE_CASE  )
							for line in correct_lines:
														_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    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__":
						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"""





import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel




class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				a			=						"M-CLIP"





				def __init__(      self							:							Optional[Any]      ,    _A							:							List[str]=1_0_2_4      ,    _A							:							Union[str, Any]=7_6_8      ,    **_A							:							Optional[Any]):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Tuple			  =    transformerDimSize
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    imageDimSize
											super().__init__(**_A)




class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				a			=						MCLIPConfig





				def __init__(      self							:							Dict      ,    _A							:							Optional[Any]      ,    *_A							:							Any      ,    **_A							:							Dict):



											"""simple docstring"""







											super().__init__(_A      ,    *_A      ,    **_A)
											_SCREAMING_SNAKE_CASE		:						Tuple			  =    XLMRobertaModel(_A)
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    torch.nn.Linear(
											    in_features=config.transformerDimensions      ,    out_features=config.numDims)





				def 		_lowerCAmelCase		(      self							:							Union[str, Any]      ,    _A							:							str      ,    _A							:							int):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						str			  =    self.transformer(input_ids=_A      ,    attention_mask=_A)[0]
											_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    (embs * attention_mask.unsqueeze(2)).sum(dim=1) / attention_mask.sum(dim=1)[:, None]
											return self.LinearTransformation(_A), embs


