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_mbart import MBartTokenizer
else:
  SCREAMING_SNAKE_CASE			:						Optional[int]				  =		None


SCREAMING_SNAKE_CASE			:						Any				  =		logging.get_logger(__name__)


SCREAMING_SNAKE_CASE			:						str				  =		{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE			:						Tuple				  =		{
    """vocab_file""": {
        """facebook/mbart-large-en-ro""": (
            """https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model"""
        ),
        """facebook/mbart-large-cc25""": (
            """https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """facebook/mbart-large-en-ro""": """https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json""",
        """facebook/mbart-large-cc25""": """https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json""",
    },
}

SCREAMING_SNAKE_CASE			:						Dict				  =		{
    """facebook/mbart-large-en-ro""": 1024,
    """facebook/mbart-large-cc25""": 1024,
}

# fmt: off
SCREAMING_SNAKE_CASE			:						Union[str, Any]				  =		["""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"""]
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      VOCAB_FILES_NAMES
  _SCREAMING_SNAKE_CASE     					=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _SCREAMING_SNAKE_CASE     					=      PRETRAINED_VOCAB_FILES_MAP
  _SCREAMING_SNAKE_CASE     					=      ["""input_ids""", """attention_mask"""]
  _SCREAMING_SNAKE_CASE     					=      MBartTokenizer

  _SCREAMING_SNAKE_CASE     					=      []
  _SCREAMING_SNAKE_CASE     					=      []

  def __init__(		self			:   Optional[int]  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]=None  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]=None  ,				__SCREAMING_SNAKE_CASE			:   List[Any]="<s>"  ,				__SCREAMING_SNAKE_CASE			:   int="</s>"  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]="</s>"  ,				__SCREAMING_SNAKE_CASE			:   Any="<s>"  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]="<unk>"  ,				__SCREAMING_SNAKE_CASE			:   str="<pad>"  ,				__SCREAMING_SNAKE_CASE			:   str="<mask>"  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]=None  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=None  ,				__SCREAMING_SNAKE_CASE			:   Any=None  ,				**__SCREAMING_SNAKE_CASE			:   Tuple  ,				):
   __a							=	AddedToken(__lowerCAmelCase  ,				lstrip=__lowerCAmelCase  ,				rstrip=__lowerCAmelCase							) if isinstance(__lowerCAmelCase  ,				__lowerCAmelCase							) else mask_token

   super().__init__(
       vocab_file=__lowerCAmelCase  ,				tokenizer_file=__lowerCAmelCase  ,				bos_token=__lowerCAmelCase  ,				eos_token=__lowerCAmelCase  ,				sep_token=__lowerCAmelCase  ,				cls_token=__lowerCAmelCase  ,				unk_token=__lowerCAmelCase  ,				pad_token=__lowerCAmelCase  ,				mask_token=__lowerCAmelCase  ,				src_lang=__lowerCAmelCase  ,				tgt_lang=__lowerCAmelCase  ,				additional_special_tokens=__lowerCAmelCase  ,				**__lowerCAmelCase  ,				)

   __a							=	vocab_file
   __a							=	False if not self.vocab_file else True

   __a							=	FAIRSEQ_LANGUAGE_CODES.copy()

   if additional_special_tokens is not None:
    # Only add those special tokens if they are not already there.
    _additional_special_tokens.extend(
        [t for t in additional_special_tokens if t not in _additional_special_tokens]							)

   self.add_special_tokens({"additional_special_tokens": _additional_special_tokens}							)
   __a							=	{
       lang_code: self.convert_tokens_to_ids(__lowerCAmelCase							) for lang_code in FAIRSEQ_LANGUAGE_CODES
   }

   __a							=	src_lang if src_lang is not None else '''en_XX'''
   __a							=	self.convert_tokens_to_ids(self._src_lang							)
   __a							=	tgt_lang
   self.set_src_lang_special_tokens(self._src_lang							)

  @property
  def 		_UpperCAmelCase (		self			:   List[str]							):
   return self._src_lang

  @src_lang.setter
  def 		_UpperCAmelCase (		self			:   List[str]  ,				__SCREAMING_SNAKE_CASE			:   Dict							):
   __a							=	new_src_lang
   self.set_src_lang_special_tokens(self._src_lang							)

  def 		_UpperCAmelCase (		self			:   Tuple  ,				__SCREAMING_SNAKE_CASE			:   List[Any]  ,				__SCREAMING_SNAKE_CASE			:   Dict = None							):
   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 		_UpperCAmelCase (		self			:   List[Any]  ,				__SCREAMING_SNAKE_CASE			:   List[str]  ,				__SCREAMING_SNAKE_CASE			:   List[str] = None							):
   __a							=	[self.sep_token_id]
   __a							=	[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			:   Tuple  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]  ,				__SCREAMING_SNAKE_CASE			:   Tuple  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]  ,				**__SCREAMING_SNAKE_CASE			:   Optional[int]							):
   if src_lang is None or tgt_lang is None:
    raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"							)
   __a							=	src_lang
   __a							=	self(__lowerCAmelCase  ,				add_special_tokens=__lowerCAmelCase  ,				return_tensors=__lowerCAmelCase  ,				**__lowerCAmelCase							)
   __a							=	self.convert_tokens_to_ids(__lowerCAmelCase							)
   __a							=	tgt_lang_id
   return inputs

  def 		_UpperCAmelCase (		self			:   str  ,				__SCREAMING_SNAKE_CASE			:   List[str]  ,				__SCREAMING_SNAKE_CASE			:   str = "en_XX"  ,				__SCREAMING_SNAKE_CASE			:   str = None  ,				__SCREAMING_SNAKE_CASE			:   str = "ro_RO"  ,				**__SCREAMING_SNAKE_CASE			:   int  ,				):
   __a							=	src_lang
   __a							=	tgt_lang
   return super().prepare_seqaseq_batch(__lowerCAmelCase  ,				__lowerCAmelCase  ,				**__lowerCAmelCase							)

  def 		_UpperCAmelCase (		self			:   Optional[int]							):
   return self.set_src_lang_special_tokens(self.src_lang							)

  def 		_UpperCAmelCase (		self			:   Optional[int]							):
   return self.set_tgt_lang_special_tokens(self.tgt_lang							)

  def 		_UpperCAmelCase (		self			:   List[str]  ,				__SCREAMING_SNAKE_CASE			:   Any							):
   __a							=	self.convert_tokens_to_ids(__lowerCAmelCase							)
   __a							=	[]
   __a							=	[self.eos_token_id, self.cur_lang_code]

   __a							=	self.convert_ids_to_tokens(self.prefix_tokens							)
   __a							=	self.convert_ids_to_tokens(self.suffix_tokens							)

   __a							=	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 		_UpperCAmelCase (		self			:   List[str]  ,				__SCREAMING_SNAKE_CASE			:   Dict							):
   __a							=	self.convert_tokens_to_ids(__lowerCAmelCase							)
   __a							=	[]
   __a							=	[self.eos_token_id, self.cur_lang_code]

   __a							=	self.convert_ids_to_tokens(self.prefix_tokens							)
   __a							=	self.convert_ids_to_tokens(self.suffix_tokens							)

   __a							=	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 		_UpperCAmelCase (		self			:   Dict  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any] = None							):
   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(__lowerCAmelCase							):
    logger.error(f"""Vocabulary path ({save_directory}) should be a directory."""							)
    return
   __a							=	os.path.join(
       __lowerCAmelCase  ,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]							)

   if os.path.abspath(self.vocab_file							) != os.path.abspath(__lowerCAmelCase							):
    copyfile(self.vocab_file  ,				__lowerCAmelCase							)

   return (out_vocab_file,)










def   __lowercase       (			snake_case			):







				"""simple docstring"""






				if not isinstance(snake_case,	snake_case			):
								raise ValueError('''multiplicative_persistence() only accepts integral values'''			)
				if num < 0:
								raise ValueError('''multiplicative_persistence() does not accept negative values'''			)

				__magic_name__		:str   =   0
				__magic_name__		:Dict   =   str(snake_case			)

				while len(snake_case			) != 1:
								__magic_name__		:Optional[Any]   =   [int(snake_case			) for i in num_string]

								__magic_name__		:Dict   =   1
								for i in range(0,	len(snake_case			)			):
												total *= numbers[i]

								__magic_name__		:int   =   str(snake_case			)

								steps += 1
				return steps

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				if not isinstance(snake_case,	snake_case			):
								raise ValueError('''additive_persistence() only accepts integral values'''			)
				if num < 0:
								raise ValueError('''additive_persistence() does not accept negative values'''			)

				__magic_name__		:str   =   0
				__magic_name__		:Union[str, Any]   =   str(snake_case			)

				while len(snake_case			) != 1:
								__magic_name__		:str   =   [int(snake_case			) for i in num_string]

								__magic_name__		:Optional[int]   =   0
								for i in range(0,	len(snake_case			)			):
												total += numbers[i]

								__magic_name__		:int   =   str(snake_case			)

								steps += 1
				return steps


if __name__ == "__main__":
					import doctest

					doctest.testmod()






