code: 
  import os
  from shutil import copyfile
  from typing import List, Optional, Tuple
  
  from tokenizers import processors
  
  from ...tokenization_utils import AddedToken, BatchEncoding
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import is_sentencepiece_available, logging
  
  
  if is_sentencepiece_available():
  							from .tokenization_mbartaa import MBartaaTokenizer
  else:
  							__lowerCAmelCase				      =					None
  
  
  __lowerCAmelCase				      =					logging.get_logger(__name__)
  
  __lowerCAmelCase				      =					{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}
  
  __lowerCAmelCase				      =					{
      'vocab_file': {
          'facebook/mbart-large-50-one-to-many-mmt': (
              'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model'
          ),
      },
      'tokenizer_file': {
          'facebook/mbart-large-50-one-to-many-mmt': (
              'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json'
          ),
      },
  }
  
  __lowerCAmelCase				      =					{
      'facebook/mbart-large-50-one-to-many-mmt': 1_0_2_4,
  }
  
  # fmt: off
  __lowerCAmelCase				      =					['ar_AR', 'cs_CZ', 'de_DE', 'en_XX', 'es_XX', 'et_EE', 'fi_FI', 'fr_XX', 'gu_IN', 'hi_IN', 'it_IT', 'ja_XX', 'kk_KZ', 'ko_KR', 'lt_LT', 'lv_LV', 'my_MM', 'ne_NP', 'nl_XX', 'ro_RO', 'ru_RU', 'si_LK', 'tr_TR', 'vi_VN', 'zh_CN', 'af_ZA', 'az_AZ', 'bn_IN', 'fa_IR', 'he_IL', 'hr_HR', 'id_ID', 'ka_GE', 'km_KH', 'mk_MK', 'ml_IN', 'mn_MN', 'mr_IN', 'pl_PL', 'ps_AF', 'pt_XX', 'sv_SE', 'sw_KE', 'ta_IN', 'te_IN', 'th_TH', 'tl_XX', 'uk_UA', 'ur_PK', 'xh_ZA', 'gl_ES', 'sl_SI']
  
  
  
  
  
  class 						lowerCamelCase			(					__lowerCamelCase				):
  	UpperCamelCase_     :				List[str]								=  VOCAB_FILES_NAMES
  	UpperCamelCase_     :				Optional[Any]								=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  	UpperCamelCase_     :				Tuple								=  PRETRAINED_VOCAB_FILES_MAP
  	UpperCamelCase_     :				List[Any]								=  ['input_ids', 'attention_mask']
  	UpperCamelCase_     :				List[str]								=  MBartaaTokenizer
  
  	UpperCamelCase_     :				List[int]								=  []
  	UpperCamelCase_     :				List[int]								=  []
  
  
  
  
  
  
  
  	def __init__(    self			:int      ,    lowercase			:Union[str, Any]=None      ,    lowercase			:str=None      ,    lowercase			:Union[str, Any]=None      ,    lowercase			:Dict=None      ,    lowercase			:Optional[Any]="</s>"      ,    lowercase			:List[str]="</s>"      ,    lowercase			:Optional[Any]="<s>"      ,    lowercase			:Optional[Any]="<unk>"      ,    lowercase			:str="<pad>"      ,    lowercase			:Tuple="<mask>"      ,    **lowercase			:Any      ,    )		->			Optional[Any]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   AddedToken(lowercase      ,    lstrip=lowercase      ,    rstrip=lowercase ) if isinstance(lowercase      ,    lowercase ) else mask_token
  
  				SCREAMING_SNAKE_CASE    	=   kwargs.get('''additional_special_tokens'''      ,    [] )
  				kwargs["additional_special_tokens"] += [
  				    code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
  				]
  
  				super().__init__(
  				    lowercase      ,    src_lang=lowercase      ,    tgt_lang=lowercase      ,    tokenizer_file=lowercase      ,    eos_token=lowercase      ,    sep_token=lowercase      ,    cls_token=lowercase      ,    unk_token=lowercase      ,    pad_token=lowercase      ,    mask_token=lowercase      ,    **lowercase      ,    )
  
  				SCREAMING_SNAKE_CASE    	=   vocab_file
  				SCREAMING_SNAKE_CASE    	=   False if not self.vocab_file else True
  
  				SCREAMING_SNAKE_CASE    	=   {
  				    lang_code: self.convert_tokens_to_ids(lowercase ) for lang_code in FAIRSEQ_LANGUAGE_CODES
  				}
  
  				SCREAMING_SNAKE_CASE    	=   src_lang if src_lang is not None else '''en_XX'''
  				SCREAMING_SNAKE_CASE    	=   tgt_lang
  				SCREAMING_SNAKE_CASE    	=   self.lang_code_to_id[self._src_lang]
  				self.set_src_lang_special_tokens(self._src_lang )
  
  
  
  
  
  
  
  	@property
  	def    snake_case__    (    self			:int )		->			str:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				return self._src_lang
  
  
  
  
  
  
  
  	@src_lang.setter
  	def    snake_case__    (    self			:List[Any]      ,    lowercase			:str )		->			None:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   new_src_lang
  				self.set_src_lang_special_tokens(self._src_lang )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Tuple      ,    lowercase			:List[int]      ,    lowercase			:Optional[List[int]] = None )		->			List[int]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				if token_ids_a is None:
  							return self.prefix_tokens + token_ids_a + self.suffix_tokens
  				# We don't expect to process pairs, but leave the pair logic for API consistency
  				return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Dict      ,    lowercase			:List[str]      ,    lowercase			:str = "en_XX"      ,    lowercase			:Optional[List[str]] = None      ,    lowercase			:str = "ro_RO"      ,    **lowercase			:int      ,    )		->			BatchEncoding:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   src_lang
  				SCREAMING_SNAKE_CASE    	=   tgt_lang
  				return super().prepare_seqaseq_batch(lowercase      ,    lowercase      ,    **lowercase )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:int )		->			Dict:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				return self.set_src_lang_special_tokens(self.src_lang )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:str )		->			Any:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				return self.set_tgt_lang_special_tokens(self.tgt_lang )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Union[str, Any]      ,    lowercase			:str )		->			None:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   self.convert_tokens_to_ids(lowercase )
  				SCREAMING_SNAKE_CASE    	=   [self.cur_lang_code_id]
  				SCREAMING_SNAKE_CASE    	=   [self.eos_token_id]
  
  				SCREAMING_SNAKE_CASE    	=   self.convert_ids_to_tokens(self.prefix_tokens )
  				SCREAMING_SNAKE_CASE    	=   self.convert_ids_to_tokens(self.suffix_tokens )
  
  				SCREAMING_SNAKE_CASE    	=   processors.TemplateProcessing(
  				    single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str      ,    pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str      ,    special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str      ,    self.prefix_tokens + self.suffix_tokens ) )      ,    )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:List[str]      ,    lowercase			:str )		->			None:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   self.convert_tokens_to_ids(lowercase )
  				SCREAMING_SNAKE_CASE    	=   [self.cur_lang_code_id]
  				SCREAMING_SNAKE_CASE    	=   [self.eos_token_id]
  
  				SCREAMING_SNAKE_CASE    	=   self.convert_ids_to_tokens(self.prefix_tokens )
  				SCREAMING_SNAKE_CASE    	=   self.convert_ids_to_tokens(self.suffix_tokens )
  
  				SCREAMING_SNAKE_CASE    	=   processors.TemplateProcessing(
  				    single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str      ,    pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str      ,    special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str      ,    self.prefix_tokens + self.suffix_tokens ) )      ,    )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Optional[int]      ,    lowercase			:int      ,    lowercase			:str      ,    lowercase			:Optional[str]      ,    lowercase			:Optional[str]      ,    **lowercase			:List[Any] )		->			Any:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				if src_lang is None or tgt_lang is None:
  							raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model''' )
  				SCREAMING_SNAKE_CASE    	=   src_lang
  				SCREAMING_SNAKE_CASE    	=   self(lowercase      ,    add_special_tokens=lowercase      ,    return_tensors=lowercase      ,    **lowercase )
  				SCREAMING_SNAKE_CASE    	=   self.convert_tokens_to_ids(lowercase )
  				SCREAMING_SNAKE_CASE    	=   tgt_lang_id
  				return inputs
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Dict      ,    lowercase			:str      ,    lowercase			:Optional[str] = None )		->			Tuple[str]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				if not self.can_save_slow_tokenizer:
  							raise ValueError(
  							    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
  							    '''tokenizer.''' )
  
  				if not os.path.isdir(lowercase ):
  							logger.error(f"""Vocabulary path ({save_directory}) should be a directory""" )
  							return
  				SCREAMING_SNAKE_CASE    	=   os.path.join(
  				    lowercase      ,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
  
  				if os.path.abspath(self.vocab_file ) != os.path.abspath(lowercase ):
  							copyfile(self.vocab_file      ,    lowercase )
  
  				return (out_vocab_file,)
style_context: 
  from __future__ import annotations
  
  __lowerCAmelCase				      =					[2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]
  
  
  
  
  
  class 						lowerCamelCase			:
  
  
  
  
  
  
  
  	def __init__(    self			:List[str]      ,    lowercase			:int )		->			None:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   -1
  				SCREAMING_SNAKE_CASE    	=   -1
  				SCREAMING_SNAKE_CASE    	=   [-1] * length
  				SCREAMING_SNAKE_CASE    	=   None
  				SCREAMING_SNAKE_CASE    	=   None
  
  
  
  
  
  
  
  	def __repr__(    self			:List[Any] )		->			str:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				return f"""Node(min_value={self.minn} max_value={self.maxx})"""
  
  
  
  def       a			(   a  )    ->Node | None:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE    	=   Node(len(a  )  )
  			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   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    	=   (root.minn + root.maxx) // 2
  
  			SCREAMING_SNAKE_CASE    	=   []
  			SCREAMING_SNAKE_CASE    	=   []
  
  			for index, num in enumerate(a  ):
  						if num <= pivot:
  									left_arr.append(a  )
  						else:
  									right_arr.append(a  )
  						SCREAMING_SNAKE_CASE    	=   len(a  )
  			SCREAMING_SNAKE_CASE    	=   build_tree(a  )
  			SCREAMING_SNAKE_CASE    	=   build_tree(a  )
  			return root
  
  
  def       a			(   a		,	a		,	a  )    ->int:
  
  
  
  
  			'''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    	=   (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  )    ->int:
  
  
  
  
  			'''simple docstring'''
  
  
  			if start > end:
  						return 0
  			SCREAMING_SNAKE_CASE    	=   rank_till_index(a		,	a		,	a  )
  			SCREAMING_SNAKE_CASE    	=   rank_till_index(a		,	a		,	start - 1  )
  			return rank_till_end - rank_before_start
  
  
  def       a			(   a		,	a		,	a		,	a  )    ->int:
  
  
  
  
  			'''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    	=   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  )    ->int:
  
  
  
  
  			'''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    	=   range_counting(
  			    node.left		,	(node.map_left[start - 1] if start else 0)		,	node.map_left[end] - 1		,	a		,	a		,	)
  			SCREAMING_SNAKE_CASE    	=   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()