

from __future__ import annotations

lowerCAmelCase       :				Tuple         =					[2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]
class 	_A						:

  def __init__(			self	,   _SCREAMING_SNAKE_CASE   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					int          =       -1
        SCREAMING_SNAKE_CASE_			:					int          =       -1
        SCREAMING_SNAKE_CASE_			:					list[int]          =       [-1] * length
        SCREAMING_SNAKE_CASE_			:					Node | None          =       None
        SCREAMING_SNAKE_CASE_			:					Node | None          =       None



  def __repr__(			self   ):





        """simple docstring"""







        return f"Node(min_value={self.minn} max_value={self.maxx})"

def 				A_					(							a					):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_			:					List[str]          =       Node(len(a					)					)
      SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_			:					Optional[Any]          =       min(a					), max(a					)
      # Leaf node case where the node contains only one unique value
      if root.minn == root.maxx:
            return root
      SCREAMING_SNAKE_CASE_			:					Optional[int]          =       (root.minn + root.maxx) // 2

      SCREAMING_SNAKE_CASE_			:					list[int]          =       []
      SCREAMING_SNAKE_CASE_			:					list[int]          =       []

      for index, num in enumerate(a					):
            if num <= pivot:
                  left_arr.append(a					)
            else:
                  right_arr.append(a					)
            SCREAMING_SNAKE_CASE_			:					Any          =       len(a					)
      SCREAMING_SNAKE_CASE_			:					List[Any]          =       build_tree(a					)
      SCREAMING_SNAKE_CASE_			:					Dict          =       build_tree(a					)
      return root

def 				A_					(							a   ,				a   ,				a					):

      """simple docstring"""



      if index < 0 or node is None:
            return 0
      # Leaf node cases
      if node.minn == node.maxx:
            return index + 1 if node.minn == num else 0
      SCREAMING_SNAKE_CASE_			:					str          =       (node.minn + node.maxx) // 2
      if num <= pivot:
            # go the left subtree and map index to the left subtree
            return rank_till_index(node.left   ,				a   ,				node.map_left[index] - 1					)
      else:
            # go to the right subtree and map index to the right subtree
            return rank_till_index(node.right   ,				a   ,				index - node.map_left[index]					)

def 				A_					(							a   ,				a   ,				a   ,				a					):

      """simple docstring"""



      if start > end:
            return 0
      SCREAMING_SNAKE_CASE_			:					List[Any]          =       rank_till_index(a   ,				a   ,				a					)
      SCREAMING_SNAKE_CASE_			:					Any          =       rank_till_index(a   ,				a   ,				start - 1					)
      return rank_till_end - rank_before_start

def 				A_					(							a   ,				a   ,				a   ,				a					):

      """simple docstring"""



      if index > (end - start) or start > end or node is None:
            return -1
      # Leaf node case
      if node.minn == node.maxx:
            return node.minn
      # Number of elements in the left subtree in interval [start, end]
      SCREAMING_SNAKE_CASE_			:					Union[str, Any]          =       node.map_left[end] - (
          node.map_left[start - 1] if start else 0
      )
      if num_elements_in_left_tree > index:
            return quantile(
                node.left   ,				a   ,				(node.map_left[start - 1] if start else 0)   ,				node.map_left[end] - 1   ,				)
      else:
            return quantile(
                node.right   ,				index - num_elements_in_left_tree   ,				start - (node.map_left[start - 1] if start else 0)   ,				end - node.map_left[end]   ,				)

def 				A_					(							a   ,				a   ,				a   ,				a   ,				a					):

      """simple docstring"""



      if (
          start > end
          or node is None
          or start_num > end_num
          or node.minn > end_num
          or node.maxx < start_num
      ):
            return 0
      if start_num <= node.minn and node.maxx <= end_num:
            return end - start + 1
      SCREAMING_SNAKE_CASE_			:					int          =       range_counting(
          node.left   ,				(node.map_left[start - 1] if start else 0)   ,				node.map_left[end] - 1   ,				a   ,				a   ,				)
      SCREAMING_SNAKE_CASE_			:					str          =       range_counting(
          node.right   ,				start - (node.map_left[start - 1] if start else 0)   ,				end - node.map_left[end]   ,				a   ,				a   ,				)
      return left + right


if __name__ == "__main__":
    import doctest

    doctest.testmod()









import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


lowerCAmelCase       :				List[Any]         =					logging.get_logger(__name__)

lowerCAmelCase       :				Any         =					{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase       :				Any         =					{
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

lowerCAmelCase       :				str         =					{
    'microsoft/mpnet-base': 5_12,
}

lowerCAmelCase       :				Optional[Any]         =					{
    'microsoft/mpnet-base': {'do_lower_case': True},
}
class 	_A						(					__magic_name__):
  SCREAMING_SNAKE_CASE      : Tuple    =					VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE      : List[Any]    =					PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE      : Dict    =					PRETRAINED_INIT_CONFIGURATION
  SCREAMING_SNAKE_CASE      : str    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE      : Dict    =					MPNetTokenizer
  SCREAMING_SNAKE_CASE      : Any    =					['''input_ids''', '''attention_mask''']

  def __init__(			self	,   _SCREAMING_SNAKE_CASE=None	,   _SCREAMING_SNAKE_CASE=None	,   _SCREAMING_SNAKE_CASE=True	,   _SCREAMING_SNAKE_CASE="<s>"	,   _SCREAMING_SNAKE_CASE="</s>"	,   _SCREAMING_SNAKE_CASE="</s>"	,   _SCREAMING_SNAKE_CASE="<s>"	,   _SCREAMING_SNAKE_CASE="[UNK]"	,   _SCREAMING_SNAKE_CASE="<pad>"	,   _SCREAMING_SNAKE_CASE="<mask>"	,   _SCREAMING_SNAKE_CASE=True	,   _SCREAMING_SNAKE_CASE=None	,   **_SCREAMING_SNAKE_CASE	,   ):





        """simple docstring"""







        super().__init__(
            _SCREAMING_SNAKE_CASE	,   tokenizer_file=_SCREAMING_SNAKE_CASE	,   do_lower_case=_SCREAMING_SNAKE_CASE	,   bos_token=_SCREAMING_SNAKE_CASE	,   eos_token=_SCREAMING_SNAKE_CASE	,   sep_token=_SCREAMING_SNAKE_CASE	,   cls_token=_SCREAMING_SNAKE_CASE	,   unk_token=_SCREAMING_SNAKE_CASE	,   pad_token=_SCREAMING_SNAKE_CASE	,   mask_token=_SCREAMING_SNAKE_CASE	,   tokenize_chinese_chars=_SCREAMING_SNAKE_CASE	,   strip_accents=_SCREAMING_SNAKE_CASE	,   **_SCREAMING_SNAKE_CASE	,   )

        SCREAMING_SNAKE_CASE_			:					Optional[Any]          =       json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
        if (
            pre_tok_state.get('lowercase'	,   _SCREAMING_SNAKE_CASE   ) != do_lower_case
            or pre_tok_state.get('strip_accents'	,   _SCREAMING_SNAKE_CASE   ) != strip_accents
        ):
              SCREAMING_SNAKE_CASE_			:					Any          =       getattr(_SCREAMING_SNAKE_CASE	,   pre_tok_state.pop('type'   )   )
              SCREAMING_SNAKE_CASE_			:					Dict          =       do_lower_case
              SCREAMING_SNAKE_CASE_			:					Union[str, Any]          =       strip_accents
              SCREAMING_SNAKE_CASE_			:					Tuple          =       pre_tok_class(**_SCREAMING_SNAKE_CASE   )

        SCREAMING_SNAKE_CASE_			:					Optional[Any]          =       do_lower_case

  @property
  def 	UpperCAmelCase      (			self   ):





        """simple docstring"""







        if self._mask_token is None:
              if self.verbose:
                    logger.error('Using mask_token, but it is not set yet.'   )
              return None
        return str(self._mask_token   )

  @mask_token.setter
  def 	UpperCAmelCase      (			self	,   _SCREAMING_SNAKE_CASE   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					Optional[Any]          =       AddedToken(_SCREAMING_SNAKE_CASE	,   lstrip=_SCREAMING_SNAKE_CASE	,   rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE	,   _SCREAMING_SNAKE_CASE   ) else value
        SCREAMING_SNAKE_CASE_			:					List[Any]          =       value

  def 	UpperCAmelCase      (			self	,   _SCREAMING_SNAKE_CASE	,   _SCREAMING_SNAKE_CASE=None   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					List[str]          =       [self.bos_token_id] + token_ids_a + [self.eos_token_id]
        if token_ids_a is None:
              return output

        return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]

  def 	UpperCAmelCase      (			self	,   _SCREAMING_SNAKE_CASE	,   _SCREAMING_SNAKE_CASE = None   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					str          =       [self.sep_token_id]
        SCREAMING_SNAKE_CASE_			:					int          =       [self.cls_token_id]

        if token_ids_a is None:
              return len(cls + token_ids_a + sep   ) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep   ) * [0]



  def 	UpperCAmelCase      (			self	,   _SCREAMING_SNAKE_CASE	,   _SCREAMING_SNAKE_CASE = None   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					Tuple          =       self._tokenizer.model.save(_SCREAMING_SNAKE_CASE	,   name=_SCREAMING_SNAKE_CASE   )
        return tuple(_SCREAMING_SNAKE_CASE   )






