
"""simple docstring"""



import copy
import random

from transformers import CLIPTokenizer
class        _SCREAMING_SNAKE_CASE  (  UpperCAmelCase							):






				'''simple docstring'''



				def __init__(					self	:			str				,     *UpperCAmelCase_	:			Union[str, Any]				,     **UpperCAmelCase_	:			int  )		->  str:







											"""simple docstring"""




											super().__init__(*UpperCAmelCase_				,     **UpperCAmelCase_  )
											_lowerCAmelCase  	=			{}


				def 				__lowerCamelCase	(					self	:			Union[str, Any]				,     UpperCAmelCase_	:			Optional[int]				,     *UpperCAmelCase_	:			Union[str, Any]				,     **UpperCAmelCase_	:			int  )		->  Union[str, Any]:







											"""simple docstring"""




											_lowerCAmelCase  	=			super().add_tokens(UpperCAmelCase_				,     *UpperCAmelCase_				,     **UpperCAmelCase_  )
											if num_added_tokens == 0:
																		raise ValueError(
																		    F"""The tokenizer already contains the token {placeholder_token}. Please pass a different"""
																		    ' `placeholder_token` that is not already in the tokenizer.'  )


				def 				__lowerCamelCase	(					self	:			List[str]				,     UpperCAmelCase_	:			str				,     *UpperCAmelCase_	:			Optional[Any]				,     UpperCAmelCase_	:			Tuple=1				,     **UpperCAmelCase_	:			Any  )		->  int:







											"""simple docstring"""




											_lowerCAmelCase  	=			[]
											if num_vec_per_token == 1:
																		self.try_adding_tokens(UpperCAmelCase_				,     *UpperCAmelCase_				,     **UpperCAmelCase_  )
																		output.append(UpperCAmelCase_  )
											else:
																		_lowerCAmelCase  	=			[]
																		for i in range(UpperCAmelCase_  ):
																									_lowerCAmelCase  	=			placeholder_token + F"""_{i}"""
																									self.try_adding_tokens(UpperCAmelCase_				,     *UpperCAmelCase_				,     **UpperCAmelCase_  )
																									output.append(UpperCAmelCase_  )
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
											for token in self.token_map:
																		if token in placeholder_token:
																									raise ValueError(
																									    F"""The tokenizer already has placeholder token {token} that can get confused with"""
																									    F""" {placeholder_token}keep placeholder tokens independent"""  )
											_lowerCAmelCase  	=			output


				def 				__lowerCamelCase	(					self	:			List[str]				,     UpperCAmelCase_	:			Tuple				,     UpperCAmelCase_	:			Optional[Any]=False				,     UpperCAmelCase_	:			Dict=1.0  )		->  int:







											"""simple docstring"""




											if isinstance(UpperCAmelCase_				,     UpperCAmelCase_  ):
																		_lowerCAmelCase  	=			[]
																		for i in range(len(UpperCAmelCase_  )  ):
																									output.append(self.replace_placeholder_tokens_in_text(text[i]				,     vector_shuffle=UpperCAmelCase_  )  )
																		return output
											for placeholder_token in self.token_map:
																		if placeholder_token in text:
																									_lowerCAmelCase  	=			self.token_map[placeholder_token]
																									_lowerCAmelCase  	=			tokens[: 1 + int(len(UpperCAmelCase_  ) * prop_tokens_to_load  )]
																									if vector_shuffle:
																																_lowerCAmelCase  	=			copy.copy(UpperCAmelCase_  )
																																random.shuffle(UpperCAmelCase_  )
																									_lowerCAmelCase  	=			text.replace(UpperCAmelCase_				,     ' '.join(UpperCAmelCase_  )  )
											return text


				def __call__(					self	:			List[Any]				,     UpperCAmelCase_	:			List[Any]				,     *UpperCAmelCase_	:			Any				,     UpperCAmelCase_	:			Optional[Any]=False				,     UpperCAmelCase_	:			Optional[Any]=1.0				,     **UpperCAmelCase_	:			Any  )		->  Any:







											"""simple docstring"""




											return super().__call__(
											    self.replace_placeholder_tokens_in_text(
											        UpperCAmelCase_				,     vector_shuffle=UpperCAmelCase_				,     prop_tokens_to_load=UpperCAmelCase_  )				,     *UpperCAmelCase_				,     **UpperCAmelCase_				,     )







				def 				__lowerCamelCase	(					self	:			Optional[int]				,     UpperCAmelCase_	:			int				,     *UpperCAmelCase_	:			str				,     UpperCAmelCase_	:			Union[str, Any]=False				,     UpperCAmelCase_	:			str=1.0				,     **UpperCAmelCase_	:			Optional[int]  )		->  List[Any]:







											"""simple docstring"""




											return super().encode(
											    self.replace_placeholder_tokens_in_text(
											        UpperCAmelCase_				,     vector_shuffle=UpperCAmelCase_				,     prop_tokens_to_load=UpperCAmelCase_  )				,     *UpperCAmelCase_				,     **UpperCAmelCase_				,     )








"""simple docstring"""



def 	__snake_case  (    SCREAMING_SNAKE_CASE:					str						):






							"""simple docstring"""



							_lowerCAmelCase  	=			0

							# if input_string is "aba" than new_input_string become "a|b|a"
							_lowerCAmelCase  	=			''
							_lowerCAmelCase  	=			''

							# 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
							_lowerCAmelCase	,		_lowerCAmelCase  	=			0, 0

							# length[i] shows the length of palindromic substring with center i
							_lowerCAmelCase  	=			[1 for i in range(len(SCREAMING_SNAKE_CASE						)						)]

							# for each character in new_string find corresponding palindromic string
							_lowerCAmelCase  	=			0
							for j in range(len(SCREAMING_SNAKE_CASE						)						):
														_lowerCAmelCase  	=			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

														_lowerCAmelCase  	=			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:
																					_lowerCAmelCase  	=			j - k + 1  # noqa: E741
																					_lowerCAmelCase  	=			j + k - 1

														# update max_length and start position
														if max_length < length[j]:
																					_lowerCAmelCase  	=			length[j]
																					_lowerCAmelCase  	=			j

    # create that string
							_lowerCAmelCase  	=			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()






