
'''simple docstring'''




import copy
import random

from transformers import CLIPTokenizer





class 					A							(				__snake_case		):





     def __init__(				self		,     *SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )					->							int:






         """simple docstring"""






         super().__init__(*SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )
         A			:  Optional[int]   =		{}





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE		,     *SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )					->							int:






         """simple docstring"""






         A			:  Optional[Any]   =		super().add_tokens(SCREAMING_SNAKE_CASE		,     *SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )
         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		,     SCREAMING_SNAKE_CASE		,     *SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE=1		,     **SCREAMING_SNAKE_CASE      )					->							Dict:






         """simple docstring"""






         A			:  str   =		[]
         if num_vec_per_token == 1:
             self.try_adding_tokens(SCREAMING_SNAKE_CASE		,     *SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )
             output.append(SCREAMING_SNAKE_CASE      )
         else:
             A			:  List[str]   =		[]
             for i in range(SCREAMING_SNAKE_CASE      ):
                 A			:  Any   =		placeholder_token + F'_{i}'
                 self.try_adding_tokens(SCREAMING_SNAKE_CASE		,     *SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )
                 output.append(SCREAMING_SNAKE_CASE      )
        # 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'      )
         A			:  List[Any]   =		output





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE=False		,     SCREAMING_SNAKE_CASE=1.0      )					->							int:






         """simple docstring"""






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





     def __call__(				self		,     SCREAMING_SNAKE_CASE		,     *SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE=False		,     SCREAMING_SNAKE_CASE=1.0		,     **SCREAMING_SNAKE_CASE      )					->							Union[str, Any]:






         """simple docstring"""






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





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE		,     *SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE=False		,     SCREAMING_SNAKE_CASE=1.0		,     **SCREAMING_SNAKE_CASE      )					->							Union[str, Any]:






         """simple docstring"""






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






'''simple docstring'''




import random







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__		):




    '''simple docstring'''



    A,    A,    A			:  Any   =		[], [], []
    for element in data:
        if element < pivot:
            less.append(snake_case__		)
        elif element > pivot:
            greater.append(snake_case__		)
        else:
            equal.append(snake_case__		)
    return less, equal, greater







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__		):




    '''simple docstring'''



    if index >= len(snake_case__		) or index < 0:
        return None

    A			:  List[Any]   =		items[random.randint(0						,							len(snake_case__		) - 1		)]
    A			:  Optional[int]   =		0
    A,    A,    A			:  Dict   =		_partition(snake_case__						,							snake_case__		)
    A			:  int   =		len(snake_case__		)
    A			:  List[Any]   =		len(snake_case__		)

    # index is the pivot
    if m <= index < m + count:
        return pivot
    # must be in smaller
    elif m > index:
        return quick_select(snake_case__						,							snake_case__		)
    # must be in larger
    else:
        return quick_select(snake_case__						,							index - (m + count)		)




