





import copy
import random

from transformers import CLIPTokenizer


class 						lowerCamelCase       (__lowerCAmelCase      ):







		"""simple docstring"""




		def __init__( self     :					str,			*_UpperCAmelCase     :					List[str],			**_UpperCAmelCase     :					Optional[Any]						)				->			Any:





									"""simple docstring"""
									super().__init__(*lowerCamelCase__,			**lowerCamelCase__						)
									SCREAMING_SNAKE_CASE__       :      Any     =						{}






		def  A_     ( self     :					Any,			_UpperCAmelCase     :					Dict,			*_UpperCAmelCase     :					Union[str, Any],			**_UpperCAmelCase     :					Optional[Any]						)				->			Optional[Any]:





									"""simple docstring"""
									SCREAMING_SNAKE_CASE__       :      List[Any]     =						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  A_     ( self     :					str,			_UpperCAmelCase     :					Tuple,			*_UpperCAmelCase     :					Optional[int],			_UpperCAmelCase     :					Tuple=1,			**_UpperCAmelCase     :					Union[str, Any]						)				->			Any:





									"""simple docstring"""
									SCREAMING_SNAKE_CASE__       :      str     =						[]
									if num_vec_per_token == 1:
																self.try_adding_tokens(lowerCamelCase__,			*lowerCamelCase__,			**lowerCamelCase__						)
																output.append(lowerCamelCase__						)
									else:
																SCREAMING_SNAKE_CASE__       :      int     =						[]
																for i in range(lowerCamelCase__						):
																							SCREAMING_SNAKE_CASE__       :      Tuple     =						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'''						)
									SCREAMING_SNAKE_CASE__       :      int     =						output






		def  A_     ( self     :					int,			_UpperCAmelCase     :					Optional[int],			_UpperCAmelCase     :					List[str]=False,			_UpperCAmelCase     :					Optional[int]=1.0						)				->			Optional[int]:





									"""simple docstring"""






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






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





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






		def  A_     ( self     :					str,			_UpperCAmelCase     :					Optional[Any],			*_UpperCAmelCase     :					Any,			_UpperCAmelCase     :					Optional[int]=False,			_UpperCAmelCase     :					str=1.0,			**_UpperCAmelCase     :					Any						)				->			int:





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













def _a (  SCREAMING_SNAKE_CASE__      :  int       )	->    str:

							'''simple docstring'''






							if isinstance(SCREAMING_SNAKE_CASE__			,				SCREAMING_SNAKE_CASE__       ):
														raise TypeError("'float' object cannot be interpreted as an integer"       )
							if isinstance(SCREAMING_SNAKE_CASE__			,				SCREAMING_SNAKE_CASE__       ):
														raise TypeError("'str' object cannot be interpreted as an integer"       )

							if num == 0:
														return "0b0"

							SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						False

							if num < 0:
														SCREAMING_SNAKE_CASE__       :      Any     =						True
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						-num

							SCREAMING_SNAKE_CASE__       :      list[int]     =						[]
							while num > 0:
														binary.insert(0			,				num % 2       )
														num >>= 1

							if negative:
														return "-0b" + "".join(str(SCREAMING_SNAKE_CASE__       ) for e in binary       )

							return "0b" + "".join(str(SCREAMING_SNAKE_CASE__       ) for e in binary       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()






