






"""simple docstring"""
import copy
import random

from transformers import CLIPTokenizer



class   SCREAMING_SNAKE_CASE	(					_SCREAMING_SNAKE_CASE    ):





	"""simple docstring"""




	def __init__(self  ,  *lowerCAmelCase_  ,  **lowerCAmelCase_				):
		super().__init__(*lowerCAmelCase_  ,  **lowerCAmelCase_				)
		A_		:    Any						     = {}





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  *lowerCAmelCase_  ,  **lowerCAmelCase_				):
		A_		:    Optional[int]						     = 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  lowerCamelCase(self  ,  lowerCAmelCase_  ,  *lowerCAmelCase_  ,  lowerCAmelCase_=1  ,  **lowerCAmelCase_				):
		A_		:    str						     = []
		if num_vec_per_token == 1:
			self.try_adding_tokens(lowerCAmelCase_  ,  *lowerCAmelCase_  ,  **lowerCAmelCase_				)
			output.append(lowerCAmelCase_				)
		else:
			A_		:    Tuple						     = []
			for i in range(lowerCAmelCase_				):
				A_		:    Optional[int]						     = 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"""				)
		A_		:    Any						     = output





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  lowerCAmelCase_=False  ,  lowerCAmelCase_=1.0				):
		if isinstance(lowerCAmelCase_  ,  lowerCAmelCase_				):
			A_		:    Optional[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:
				A_		:    Union[str, Any]						     = self.token_map[placeholder_token]
				A_		:    Optional[Any]						     = tokens[: 1 + int(len(lowerCAmelCase_				) * prop_tokens_to_load				)]
				if vector_shuffle:
					A_		:    int						     = copy.copy(lowerCAmelCase_				)
					random.shuffle(lowerCAmelCase_				)
				A_		:    Optional[Any]						     = text.replace(lowerCAmelCase_  ,  """ """.join(lowerCAmelCase_				)				)
		return text





	def __call__(self  ,  lowerCAmelCase_  ,  *lowerCAmelCase_  ,  lowerCAmelCase_=False  ,  lowerCAmelCase_=1.0  ,  **lowerCAmelCase_				):
		return super().__call__(
		    self.replace_placeholder_tokens_in_text(
		        lowerCAmelCase_  ,  vector_shuffle=lowerCAmelCase_  ,  prop_tokens_to_load=lowerCAmelCase_				)  ,  *lowerCAmelCase_  ,  **lowerCAmelCase_  ,  )





	def  lowerCamelCase(self  ,  lowerCAmelCase_  ,  *lowerCAmelCase_  ,  lowerCAmelCase_=False  ,  lowerCAmelCase_=1.0  ,  **lowerCAmelCase_				):
		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       __UpperCamelCase						(		snake_case__ , snake_case__ = None , snake_case__ = None       ):
	if start is None:
		A_		:    Dict						     = 0

	if end is None:
		A_		:    Dict						     = len(snake_case__       ) - 1

	if start >= end:
		return

	A_		:    List[Any]						     = (start + end) // 2

	slowsort(snake_case__ , snake_case__ , snake_case__       )
	slowsort(snake_case__ , mid + 1 , snake_case__       )

	if sequence[end] < sequence[mid]:
		A_     ,  A_		:    Dict						     = sequence[mid], sequence[end]

	slowsort(snake_case__ , snake_case__ , end - 1       )


if __name__ == "__main__":
							from doctest import testmod

							testmod()

