






import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase_           = logging.get_logger(__name__)

lowerCAmelCase_           = '''▁'''

lowerCAmelCase_           = {'''vocab_file''': '''sentencepiece.bpe.model'''}

lowerCAmelCase_           = {
    '''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'''
        ),
    }
}

lowerCAmelCase_           = {
    '''facebook/mbart-large-en-ro''': 1_024,
    '''facebook/mbart-large-cc25''': 1_024,
}

# 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''']
class      UpperCamelCase (				_UpperCAmelCase ):







  """simple docstring"""



  snake_case    =   VOCAB_FILES_NAMES
  snake_case    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  snake_case    =   PRETRAINED_VOCAB_FILES_MAP
  snake_case    =   ['input_ids', 'attention_mask']

  snake_case    =   []
  snake_case    =   []
  def __init__(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       Any						,_SCREAMING_SNAKE_CASE		:       Any="<s>"						,_SCREAMING_SNAKE_CASE		:       Any="</s>"						,_SCREAMING_SNAKE_CASE		:       Dict="</s>"						,_SCREAMING_SNAKE_CASE		:       Optional[Any]="<s>"						,_SCREAMING_SNAKE_CASE		:       str="<unk>"						,_SCREAMING_SNAKE_CASE		:       Optional[Any]="<pad>"						,_SCREAMING_SNAKE_CASE		:       List[Any]="<mask>"						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]=None						,_SCREAMING_SNAKE_CASE		:       Optional[int]=None						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]=None						,_SCREAMING_SNAKE_CASE		:       Optional[Dict[str, Any]] = None						,_SCREAMING_SNAKE_CASE		:       Any=None						,**_SCREAMING_SNAKE_CASE		:       Tuple						,)    ->   Any:


      '''simple docstring'''
      A	 =      AddedToken(__UpperCamelCase						,lstrip=__UpperCamelCase						,rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase						,__UpperCamelCase		) else mask_token

      A	 =      {} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          bos_token=__UpperCamelCase						,eos_token=__UpperCamelCase						,unk_token=__UpperCamelCase						,sep_token=__UpperCamelCase						,cls_token=__UpperCamelCase						,pad_token=__UpperCamelCase						,mask_token=__UpperCamelCase						,tokenizer_file=__UpperCamelCase						,src_lang=__UpperCamelCase						,tgt_lang=__UpperCamelCase						,additional_special_tokens=__UpperCamelCase						,sp_model_kwargs=self.sp_model_kwargs						,**__UpperCamelCase						,)

      A	 =      spm.SentencePieceProcessor(**self.sp_model_kwargs		)
      self.sp_model.Load(str(__UpperCamelCase		)		)
      A	 =      vocab_file

      # Original fairseq vocab and spm vocab must be "aligned":
      # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
      # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
      # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
      # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

      # Mimic fairseq token-to-id alignment for the first 4 token
      A	 =      {'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

      # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
      A	 =      1

      A	 =      len(self.sp_model		)
      A	 =      {
          code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(__UpperCamelCase		)
      }
      A	 =      {v: k for k, v in self.lang_code_to_id.items()}
      A	 =      len(self.sp_model		) + len(self.lang_code_to_id		) + self.fairseq_offset

      self.fairseq_tokens_to_ids.update(self.lang_code_to_id		)
      A	 =      {v: k for k, v in self.fairseq_tokens_to_ids.items()}
      A	 =      list(self.lang_code_to_id.keys()		)

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

      A	 =      src_lang if src_lang is not None else 'en_XX'
      A	 =      self.lang_code_to_id[self._src_lang]
      A	 =      tgt_lang
      self.set_src_lang_special_tokens(self._src_lang		)
  def __getstate__(  self		:       List[str]		)    ->   Dict:


      '''simple docstring'''
      A	 =      self.__dict__.copy()
      A	 =      None
      A	 =      self.sp_model.serialized_model_proto()
      return state
  def __setstate__(  self		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       Dict		)    ->   str:


      '''simple docstring'''
      A	 =      d

      # for backward compatibility
      if not hasattr(self						,'sp_model_kwargs'		):
          A	 =      {}

      A	 =      spm.SentencePieceProcessor(**self.sp_model_kwargs		)
      self.sp_model.LoadFromSerializedProto(self.sp_model_proto		)
  @property
  def       A(  self		:       Any		)    ->   List[str]:


      '''simple docstring'''
      return len(self.sp_model		) + len(self.lang_code_to_id		) + self.fairseq_offset + 1  # Plus 1 for the mask token
  @property
  def       A(  self		:       Optional[Any]		)    ->   str:


      '''simple docstring'''
      return self._src_lang
  @src_lang.setter
  def       A(  self		:       int						,_SCREAMING_SNAKE_CASE		:       str		)    ->   None:


      '''simple docstring'''
      A	 =      new_src_lang
      self.set_src_lang_special_tokens(self._src_lang		)
  def       A(  self		:       List[str]						,_SCREAMING_SNAKE_CASE		:       List[int]						,_SCREAMING_SNAKE_CASE		:       Optional[List[int]] = None						,_SCREAMING_SNAKE_CASE		:       bool = False		)    ->   List[int]:


      '''simple docstring'''






      if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=__UpperCamelCase						,token_ids_a=__UpperCamelCase						,already_has_special_tokens=__UpperCamelCase		)

      A	 =      [1] * len(self.prefix_tokens		)
      A	 =      [1] * len(self.suffix_tokens		)
      if token_ids_a is None:
          return prefix_ones + ([0] * len(__UpperCamelCase		)) + suffix_ones
      return prefix_ones + ([0] * len(__UpperCamelCase		)) + ([0] * len(__UpperCamelCase		)) + suffix_ones
  def       A(  self		:       str						,_SCREAMING_SNAKE_CASE		:       List[int]						,_SCREAMING_SNAKE_CASE		:       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       A(  self		:       List[Any]						,_SCREAMING_SNAKE_CASE		:       List[int]						,_SCREAMING_SNAKE_CASE		:       Optional[List[int]] = None		)    ->   List[int]:


      '''simple docstring'''
      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       A(  self		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       str						,_SCREAMING_SNAKE_CASE		:       Optional[str]						,_SCREAMING_SNAKE_CASE		:       Optional[str]						,**_SCREAMING_SNAKE_CASE		:       Tuple		)    ->   int:


      '''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'		)
      A	 =      src_lang
      A	 =      self(__UpperCamelCase						,add_special_tokens=__UpperCamelCase						,return_tensors=__UpperCamelCase						,**__UpperCamelCase		)
      A	 =      self.convert_tokens_to_ids(__UpperCamelCase		)
      A	 =      tgt_lang_id
      return inputs
  def       A(  self		:       Optional[int]		)    ->   List[Any]:


      '''simple docstring'''
      A	 =      {self.convert_ids_to_tokens(__UpperCamelCase		): i for i in range(self.vocab_size		)}
      vocab.update(self.added_tokens_encoder		)
      return vocab
  def       A(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       str		)    ->   List[str]:


      '''simple docstring'''
      return self.sp_model.encode(__UpperCamelCase						,out_type=__UpperCamelCase		)
  def       A(  self		:       Dict						,_SCREAMING_SNAKE_CASE		:       Any		)    ->   Union[str, Any]:


      '''simple docstring'''






      if token in self.fairseq_tokens_to_ids:
          return self.fairseq_tokens_to_ids[token]
      A	 =      self.sp_model.PieceToId(__UpperCamelCase		)

      # Need to return unknown token if the SP model returned 0
      return spm_id + self.fairseq_offset if spm_id else self.unk_token_id
  def       A(  self		:       int						,_SCREAMING_SNAKE_CASE		:       List[Any]		)    ->   Tuple:


      '''simple docstring'''






      if index in self.fairseq_ids_to_tokens:
          return self.fairseq_ids_to_tokens[index]
      return self.sp_model.IdToPiece(index - self.fairseq_offset		)
  def       A(  self		:       Dict						,_SCREAMING_SNAKE_CASE		:       Dict		)    ->   Any:


      '''simple docstring'''
      A	 =      ''.join(__UpperCamelCase		).replace(__UpperCamelCase						,' '		).strip()
      return out_string
  def       A(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       str						,_SCREAMING_SNAKE_CASE		:       Optional[str] = None		)    ->   Tuple[str]:


      '''simple docstring'''






      if not os.path.isdir(__UpperCamelCase		):
          logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
          return
      A	 =      os.path.join(
          __UpperCamelCase						,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)

      if os.path.abspath(self.vocab_file		) != os.path.abspath(__UpperCamelCase		) and os.path.isfile(self.vocab_file		):
          copyfile(self.vocab_file						,__UpperCamelCase		)
      elif not os.path.isfile(self.vocab_file		):
          with open(__UpperCamelCase						,'wb'		) as fi:
              A	 =      self.sp_model.serialized_model_proto()
              fi.write(__UpperCamelCase		)

      return (out_vocab_file,)
  def       A(  self		:       List[Any]						,_SCREAMING_SNAKE_CASE		:       List[str]						,_SCREAMING_SNAKE_CASE		:       str = "en_XX"						,_SCREAMING_SNAKE_CASE		:       Optional[List[str]] = None						,_SCREAMING_SNAKE_CASE		:       str = "ro_RO"						,**_SCREAMING_SNAKE_CASE		:       Tuple						,)    ->   BatchEncoding:


      '''simple docstring'''
      A	 =      src_lang
      A	 =      tgt_lang
      return super().prepare_seqaseq_batch(__UpperCamelCase						,__UpperCamelCase						,**__UpperCamelCase		)
  def       A(  self		:       Tuple		)    ->   Any:


      '''simple docstring'''
      return self.set_src_lang_special_tokens(self.src_lang		)
  def       A(  self		:       Optional[int]		)    ->   Union[str, Any]:


      '''simple docstring'''
      return self.set_tgt_lang_special_tokens(self.tgt_lang		)
  def       A(  self		:       List[str]						,_SCREAMING_SNAKE_CASE		:       Tuple		)    ->   None:


      '''simple docstring'''
      A	 =      self.lang_code_to_id[src_lang]
      A	 =      []
      A	 =      [self.eos_token_id, self.cur_lang_code]







  def       A(  self		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       str		)    ->   None:


      '''simple docstring'''
      A	 =      self.lang_code_to_id[lang]
      A	 =      []
      A	 =      [self.eos_token_id, self.cur_lang_code]













import copy
import re
class      UpperCamelCase :







		"""simple docstring"""



		snake_case    =   "hp"
		snake_case    =   {}
		snake_case    =   None
		@classmethod
		def       A(  cls		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       int						,_SCREAMING_SNAKE_CASE		:       List[Any]		)    ->   int:


						'''simple docstring'''
						A	 =      prefix
						A	 =      defaults
						cls.build_naming_info()
		@staticmethod
		def       A(  _SCREAMING_SNAKE_CASE		:       List[str]						,_SCREAMING_SNAKE_CASE		:       List[Any]		)    ->   Optional[Any]:


						'''simple docstring'''
						if len(_SCREAMING_SNAKE_CASE		) == 0:
										return ""
						A	 =      None
						if any(char.isdigit() for char in word		):
										raise Exception(f'Parameters should not contain numbers: \'{word}\' contains a number'		)
						if word in info["short_word"]:
										return info["short_word"][word]
						for prefix_len in range(1						,len(_SCREAMING_SNAKE_CASE		) + 1		):
										A	 =      word[:prefix_len]
										if prefix in info["reverse_short_word"]:
														continue
										else:
														A	 =      prefix
														break

						if short_word is None:
										# Paranoid fallback
										def int_to_alphabetic(_SCREAMING_SNAKE_CASE		:       Optional[int]		):
														A	 =      ''
														while integer != 0:
																		A	 =      chr(ord('A'		) + integer % 1_0		) + s
																		integer //= 1_0
														return s

										A	 =      0
										while True:
														A	 =      word + '#' + int_to_alphabetic(_SCREAMING_SNAKE_CASE		)
														if sword in info["reverse_short_word"]:
																		continue
														else:
																		A	 =      sword
																		break

						A	 =      short_word
						A	 =      word
						return short_word
		@staticmethod
		def       A(  _SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   int:


						'''simple docstring'''
						A	 =      param_name.split('_'		)

						A	 =      [TrialShortNamer.shortname_for_word(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		) for word in words]

						# We try to create a separatorless short name, but if there is a collision we have to fallback
						# to a separated short name
						A	 =      ['', '_']

						for separator in separators:
										A	 =      separator.join(_SCREAMING_SNAKE_CASE		)
										if shortname not in info["reverse_short_param"]:
														A	 =      shortname
														A	 =      param_name
														return shortname

						return param_name
		@staticmethod
		def       A(  _SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   List[str]:


						'''simple docstring'''
						A	 =      TrialShortNamer.shortname_for_key(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
						A	 =      short_name
						A	 =      param_name
		@classmethod
		def       A(  cls		:       Optional[int]		)    ->   str:


						'''simple docstring'''
						if cls.NAMING_INFO is not None:
										return

						A	 =      {
						    'short_word': {},
						    'reverse_short_word': {},
						    'short_param': {},
						    'reverse_short_param': {},
						}

						A	 =      list(cls.DEFAULTS.keys()		)

						for k in field_keys:
										cls.add_new_param_name(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)

						A	 =      info
		@classmethod
		def       A(  cls		:       List[str]						,_SCREAMING_SNAKE_CASE		:       str		)    ->   List[Any]:


						'''simple docstring'''
						cls.build_naming_info()
						assert cls.PREFIX is not None
						A	 =      [copy.copy(cls.PREFIX		)]

						for k, v in params.items():
										if k not in cls.DEFAULTS:
														raise Exception(f'You should provide a default value for the param name {k} with value {v}'		)
										if v == cls.DEFAULTS[k]:
														# The default value is not added to the name
														continue

										A	 =      cls.NAMING_INFO['short_param'][k]

										if isinstance(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		):
														A	 =      1 if v else 0

										A	 =      '' if isinstance(_SCREAMING_SNAKE_CASE						,(int, float)		) else '-'
										A	 =      f'{key}{sep}{v}'
										name.append(_SCREAMING_SNAKE_CASE		)

						return "_".join(_SCREAMING_SNAKE_CASE		)







		@classmethod
		def       A(  cls		:       int						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   str:


						'''simple docstring'''
						A	 =      repr[len(cls.PREFIX		) + 1 :]
						if repr == "":
										A	 =      []
						else:
										A	 =      repr.split('_'		)

						A	 =      {}

						for value in values:
										if "-" in value:
														A ,		A	 =      value.split('-'		)
										else:
														A	 =      re.sub('[0-9.]'						,''						,_SCREAMING_SNAKE_CASE		)
														A	 =      float(re.sub('[^0-9.]'						,''						,_SCREAMING_SNAKE_CASE		)		)

										A	 =      cls.NAMING_INFO['reverse_short_param'][p_k]

										A	 =      p_v

						for k in cls.DEFAULTS:
										if k not in parameters:
														A	 =      cls.DEFAULTS[k]

						return parameters





