





'''simple docstring'''

import copy
import random

from transformers import CLIPTokenizer





class lowerCamelCase						(_A					):







  def __init__(		self     ,     *lowercase__     ,     **lowercase__		)		->						Any:






        """simple docstring"""





        super().__init__(*UpperCamelCase__     ,     **UpperCamelCase__		)
        _snake_case		:	Optional[Any]					     =     {}







  def 				UpperCAmelCase_				(		self     ,     lowercase__     ,     *lowercase__     ,     **lowercase__		)		->						int:






        """simple docstring"""





        _snake_case		:	Tuple					     =     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 				UpperCAmelCase_				(		self     ,     lowercase__     ,     *lowercase__     ,     lowercase__=1     ,     **lowercase__		)		->						str:






        """simple docstring"""





        _snake_case		:	int					     =     []
        if num_vec_per_token == 1:
              self.try_adding_tokens(UpperCamelCase__     ,     *UpperCamelCase__     ,     **UpperCamelCase__		)
              output.append(UpperCamelCase__		)
        else:
              _snake_case		:	Tuple					     =     []
              for i in range(UpperCamelCase__		):
                    _snake_case		:	str					     =     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'''		)
        _snake_case		:	Any					     =     output







  def 				UpperCAmelCase_				(		self     ,     lowercase__     ,     lowercase__=False     ,     lowercase__=1.0		)		->						Optional[int]:






        """simple docstring"""





        if isinstance(UpperCamelCase__     ,     UpperCamelCase__		):
              _snake_case		:	int					     =     []
              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:
                    _snake_case		:	Optional[int]					     =     self.token_map[placeholder_token]
                    _snake_case		:	Union[str, Any]					     =     tokens[: 1 + int(len(UpperCamelCase__		) * prop_tokens_to_load		)]
                    if vector_shuffle:
                          _snake_case		:	Optional[Any]					     =     copy.copy(UpperCamelCase__		)
                          random.shuffle(UpperCamelCase__		)
                    _snake_case		:	Dict					     =     text.replace(UpperCamelCase__     ,     ''' '''.join(UpperCamelCase__		)		)
        return text







  def __call__(		self     ,     lowercase__     ,     *lowercase__     ,     lowercase__=False     ,     lowercase__=1.0     ,     **lowercase__		)		->						List[str]:






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self     ,     lowercase__     ,     *lowercase__     ,     lowercase__=False     ,     lowercase__=1.0     ,     **lowercase__		)		->						Optional[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'''

UpperCAmelCase					:		Union[str, Any]		=							tuple[float, float, float]
UpperCAmelCase					:		int		=							tuple[float, float, float]




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	str					     =     end_pointa[0] - end_pointa[0]
      _snake_case		:	Tuple					     =     end_pointa[1] - end_pointa[1]
      _snake_case		:	Any					     =     end_pointa[2] - end_pointa[2]
      return (x, y, z)




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Dict					     =     ab[1] * ac[2] - ab[2] * ac[1]  # *i
      _snake_case		:	List[str]					     =     (ab[0] * ac[2] - ab[2] * ac[0]) * -1  # *j
      _snake_case		:	Optional[int]					     =     ab[0] * ac[1] - ab[1] * ac[0]  # *k
      return (x, y, z)




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      return tuple(round(lowerCAmelCase_			,      lowerCAmelCase_	) for x in vector	) == (0, 0, 0)




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_ = 10	):





      """simple docstring"""



      _snake_case		:	str					     =     create_vector(lowerCAmelCase_			,      lowerCAmelCase_	)
      _snake_case		:	Tuple					     =     create_vector(lowerCAmelCase_			,      lowerCAmelCase_	)
      return is_zero_vector(get_ad_vectors_cross(lowerCAmelCase_			,      lowerCAmelCase_	)			,      lowerCAmelCase_	)


