


'''simple docstring'''



def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   int   ):
					__a			:       int					    =  0

					# if input_string is "aba" than new_input_string become "a|b|a"
					__a			:       Dict					    =  ""
					__a			:       Optional[Any]					    =  ""

					# append each character + "|" in new_string for range(0, length-1)
					for i in input_string[: len(SCREAMING_SNAKE_CASE_   ) - 1]:
										new_input_string += i + "|"
					# append last character
					new_input_string += input_string[-1]

					# we will store the starting and ending of previous furthest ending palindromic
					# substring
					__a			:       Tuple					    =  0, 0

					# length[i] shows the length of palindromic substring with center i
					__a			:       Union[str, Any]					    =  [1 for i in range(len(SCREAMING_SNAKE_CASE_   )   )]

					# for each character in new_string find corresponding palindromic string
					__a			:       Tuple					    =  0
					for j in range(len(SCREAMING_SNAKE_CASE_   )   ):
										__a			:       Tuple					    =  1 if j > r else min(length[l + r - j] // 2						,      r - j + 1   )
										while (
										    j - k >= 0
										    and j + k < len(SCREAMING_SNAKE_CASE_   )
										    and new_input_string[k + j] == new_input_string[j - k]
										):
															k += 1

										__a			:       Optional[Any]					    =  2 * k - 1

										# does this string is ending after the previously explored end (that is r) ?
										# if yes the update the new r to the last index of this
										if j + k - 1 > r:
															__a			:       Optional[Any]					    =  j - k + 1  # noqa: E741
															__a			:       List[str]					    =  j + k - 1

										# update max_length and start position
										if max_length < length[j]:
															__a			:       int					    =  length[j]
															__a			:       List[Any]					    =  j

										# create that string
					__a			:       Dict					    =  new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
					for i in s:
										if i != "|":
															output_string += i

					return output_string


if __name__ == "__main__":
	import doctest

	doctest.testmod()







import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class 	UpperCAmelCase_					(					UpperCamelCase    ):

   '''simple docstring'''




   __A :      Optional[int]     		=		"M-CLIP"






   def __init__(		self						,				__A=1024						,				__A=768						,				**__A ):






     """simple docstring"""





     lowerCamelCase :					str    =				transformerDimSize
     lowerCamelCase :					Any    =				imageDimSize
     super().__init__(**__A )



class 	UpperCAmelCase_					(					UpperCamelCase    ):

   '''simple docstring'''




   __A :      Tuple     		=		MCLIPConfig






   def __init__(		self						,				__A						,				*__A						,				**__A ):






     """simple docstring"""





     super().__init__(__A						,				*__A						,				**__A )
     lowerCamelCase :					Tuple    =				XLMRobertaModel(__A )
     lowerCamelCase :					Optional[Any]    =				torch.nn.Linear(
         in_features=config.transformerDimensions						,				out_features=config.numDims )






   def _snake_case    (		self						,				__A						,				__A ):






     """simple docstring"""





     lowerCamelCase :					Any    =				self.transformer(input_ids=__A						,				attention_mask=__A )[0]
     lowerCamelCase :					int    =				(embs * attention_mask.unsqueeze(2 )).sum(dim=1 ) / attention_mask.sum(dim=1 )[:, None]
     return self.LinearTransformation(__A ), embs



