



'''simple docstring'''
import copy
import random

from transformers import CLIPTokenizer






class 							lowercase__     (							lowercase       ):





	def __init__(			self :    Union[str, Any]			,*lowerCamelCase__ :    Optional[int]			,**lowerCamelCase__ :    List[str]			):







							'''simple docstring'''
							super().__init__(*lowerCamelCase__			,**lowerCamelCase__			)
							_UpperCamelCase :		List[Any]			    =       {}





	def      UpperCamelCase_  (			self :    List[Any]			,lowerCamelCase__ :    Dict			,*lowerCamelCase__ :    Dict			,**lowerCamelCase__ :    Dict			):







							'''simple docstring'''
							_UpperCamelCase :		Dict			    =       super().add_tokens(lowerCamelCase__			,*lowerCamelCase__			,**lowerCamelCase__			)
							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      UpperCamelCase_  (			self :    Tuple			,lowerCamelCase__ :    str			,*lowerCamelCase__ :    str			,lowerCamelCase__ :    Optional[int]=1			,**lowerCamelCase__ :    int			):







							'''simple docstring'''
							_UpperCamelCase :		Optional[int]			    =       []
							if num_vec_per_token == 1:
													self.try_adding_tokens(lowerCamelCase__			,*lowerCamelCase__			,**lowerCamelCase__			)
													output.append(lowerCamelCase__			)
							else:
													_UpperCamelCase :		Dict			    =       []
													for i in range(lowerCamelCase__			):
																			_UpperCamelCase :		Dict			    =       placeholder_token + F'_{i}'
																			self.try_adding_tokens(lowerCamelCase__			,*lowerCamelCase__			,**lowerCamelCase__			)
																			output.append(lowerCamelCase__			)
        # 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'			)
							_UpperCamelCase :		Dict			    =       output





	def      UpperCamelCase_  (			self :    Union[str, Any]			,lowerCamelCase__ :    List[Any]			,lowerCamelCase__ :    Any=False			,lowerCamelCase__ :    Optional[Any]=1.0			):







							'''simple docstring'''
							if isinstance(lowerCamelCase__			,lowerCamelCase__			):
													_UpperCamelCase :		Tuple			    =       []
													for i in range(len(lowerCamelCase__			)			):
																			output.append(self.replace_placeholder_tokens_in_text(text[i]			,vector_shuffle=lowerCamelCase__			)			)
													return output
							for placeholder_token in self.token_map:
													if placeholder_token in text:
																			_UpperCamelCase :		int			    =       self.token_map[placeholder_token]
																			_UpperCamelCase :		List[str]			    =       tokens[: 1 + int(len(lowerCamelCase__			) * prop_tokens_to_load			)]
																			if vector_shuffle:
																									_UpperCamelCase :		Union[str, Any]			    =       copy.copy(lowerCamelCase__			)
																									random.shuffle(lowerCamelCase__			)
																			_UpperCamelCase :		Dict			    =       text.replace(lowerCamelCase__			,' '.join(lowerCamelCase__			)			)
							return text





	def __call__(			self :    Any			,lowerCamelCase__ :    List[Any]			,*lowerCamelCase__ :    Optional[Any]			,lowerCamelCase__ :    Tuple=False			,lowerCamelCase__ :    Any=1.0			,**lowerCamelCase__ :    int			):







							'''simple docstring'''
							return super().__call__(
							    self.replace_placeholder_tokens_in_text(
							        lowerCamelCase__			,vector_shuffle=lowerCamelCase__			,prop_tokens_to_load=lowerCamelCase__			)			,*lowerCamelCase__			,**lowerCamelCase__			,)





	def      UpperCamelCase_  (			self :    Optional[int]			,lowerCamelCase__ :    Dict			,*lowerCamelCase__ :    Any			,lowerCamelCase__ :    Optional[Any]=False			,lowerCamelCase__ :    Optional[Any]=1.0			,**lowerCamelCase__ :    str			):







							'''simple docstring'''
							return super().encode(
							    self.replace_placeholder_tokens_in_text(
							        lowerCamelCase__			,vector_shuffle=lowerCamelCase__			,prop_tokens_to_load=lowerCamelCase__			)			,*lowerCamelCase__			,**lowerCamelCase__			,)







'''simple docstring'''
from __future__ import annotations






def A__   (					UpperCAmelCase_							):
						if not nums:
												return 0
						_UpperCamelCase :		Any			    =       nums[0]
						_UpperCamelCase :		Optional[int]			    =       0
						for num in nums[1:]:
												_UpperCamelCase    ,      _UpperCamelCase :		Optional[Any]			    =       (
												    max_excluding + num,
												    max(UpperCAmelCase_  ,  UpperCAmelCase_							),
												)
						return max(UpperCAmelCase_  ,  UpperCAmelCase_							)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


