

'''simple docstring'''
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 :      List[str]					 =     logging.get_logger(__name__)

lowerCamelCase :      Any					 =     "▁"

lowerCamelCase :      Any					 =     {"vocab_file": "sentencepiece.bpe.model"}

lowerCamelCase :      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"
        ),
    }
}

lowerCamelCase :      Union[str, Any]					 =     {
    "facebook/mbart-large-en-ro": 1_0_2_4,
    "facebook/mbart-large-cc25": 1_0_2_4,
}

# fmt: off
lowerCamelCase :      List[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__  ):
  A__		 =				VOCAB_FILES_NAMES
  A__		 =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A__		 =				PRETRAINED_VOCAB_FILES_MAP
  A__		 =				['input_ids', 'attention_mask']

  A__		 =				[]
  A__		 =				[]





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





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =AddedToken(_a							,					lstrip=_a							,					rstrip=_a ) if isinstance(_a							,					_a ) else mask_token

       _SCREAMING_SNAKE_CASE							    ={} if sp_model_kwargs is None else sp_model_kwargs

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

       _SCREAMING_SNAKE_CASE							    =spm.SentencePieceProcessor(**self.sp_model_kwargs )
       self.sp_model.Load(str(_a ) )
       _SCREAMING_SNAKE_CASE							    =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
       _SCREAMING_SNAKE_CASE							    ={'<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
       _SCREAMING_SNAKE_CASE							    =1

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

       self.fairseq_tokens_to_ids.update(self.lang_code_to_id )
       _SCREAMING_SNAKE_CASE							    ={v: k for k, v in self.fairseq_tokens_to_ids.items()}
       _SCREAMING_SNAKE_CASE							    =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] )

       _SCREAMING_SNAKE_CASE							    =src_lang if src_lang is not None else 'en_XX'
       _SCREAMING_SNAKE_CASE							    =self.lang_code_to_id[self._src_lang]
       _SCREAMING_SNAKE_CASE							    =tgt_lang
       self.set_src_lang_special_tokens(self._src_lang )





  def __getstate__(		self      :	int )	->    int:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =self.__dict__.copy()
       _SCREAMING_SNAKE_CASE							    =None
       _SCREAMING_SNAKE_CASE							    =self.sp_model.serialized_model_proto()
       return state





  def __setstate__(		self      :	List[str]							,					_a      :	List[str] )	->    Any:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =d

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

       _SCREAMING_SNAKE_CASE							    =spm.SentencePieceProcessor(**self.sp_model_kwargs )
       self.sp_model.LoadFromSerializedProto(self.sp_model_proto )





  @property
  def 						A  (		self      :	int )	->    Dict:





       '''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[int] )	->    str:





       '''simple docstring'''






       return self._src_lang





  @src_lang.setter
  def 						A  (		self      :	List[Any]							,					_a      :	str )	->    None:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =new_src_lang
       self.set_src_lang_special_tokens(self._src_lang )





  def 						A  (		self      :	Optional[int]							,					_a      :	List[int]							,					_a      :	Optional[List[int]] = None							,					_a      :	bool = False )	->    List[int]:





       '''simple docstring'''






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

       _SCREAMING_SNAKE_CASE							    =[1] * len(self.prefix_tokens )
       _SCREAMING_SNAKE_CASE							    =[1] * len(self.suffix_tokens )
       if token_ids_a is None:
            return prefix_ones + ([0] * len(_a )) + suffix_ones
       return prefix_ones + ([0] * len(_a )) + ([0] * len(_a )) + suffix_ones





  def 						A  (		self      :	Optional[Any]							,					_a      :	List[int]							,					_a      :	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      :	Tuple							,					_a      :	List[int]							,					_a      :	Optional[List[int]] = None )	->    List[int]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =[self.sep_token_id]
       _SCREAMING_SNAKE_CASE							    =[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      :	Union[str, Any]							,					_a      :	Optional[int]							,					_a      :	str							,					_a      :	Optional[str]							,					_a      :	Optional[str]							,					**_a      :	Tuple )	->    Tuple:





       '''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(_a							,					add_special_tokens=_a							,					return_tensors=_a							,					**_a )
       _SCREAMING_SNAKE_CASE							    =self.convert_tokens_to_ids(_a )
       _SCREAMING_SNAKE_CASE							    =tgt_lang_id
       return inputs





  def 						A  (		self      :	int )	->    Any:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    ={self.convert_ids_to_tokens(_a ): i for i in range(self.vocab_size )}
       vocab.update(self.added_tokens_encoder )
       return vocab





  def 						A  (		self      :	int							,					_a      :	str )	->    List[str]:





       '''simple docstring'''






       return self.sp_model.encode(_a							,					out_type=_a )





  def 						A  (		self      :	Dict							,					_a      :	Optional[Any] )	->    Tuple:





       '''simple docstring'''






       if token in self.fairseq_tokens_to_ids:
            return self.fairseq_tokens_to_ids[token]
       _SCREAMING_SNAKE_CASE							    =self.sp_model.PieceToId(_a )

       # 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      :	List[str]							,					_a      :	Optional[Any] )	->    Dict:





       '''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      :	List[Any]							,					_a      :	List[Any] )	->    Optional[int]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =''.join(_a ).replace(_a							,					' ' ).strip()
       return out_string





  def 						A  (		self      :	Any							,					_a      :	str							,					_a      :	Optional[str] = None )	->    Tuple[str]:





       '''simple docstring'''






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

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

       return (out_vocab_file,)





  def 						A  (		self      :	Union[str, Any]							,					_a      :	List[str]							,					_a      :	str = "en_XX"							,					_a      :	Optional[List[str]] = None							,					_a      :	str = "ro_RO"							,					**_a      :	Any							,					)	->    BatchEncoding:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =src_lang
       _SCREAMING_SNAKE_CASE							    =tgt_lang
       return super().prepare_seqaseq_batch(_a							,					_a							,					**_a )





  def 						A  (		self      :	int )	->    Tuple:





       '''simple docstring'''






       return self.set_src_lang_special_tokens(self.src_lang )





  def 						A  (		self      :	List[Any] )	->    Any:





       '''simple docstring'''






       return self.set_tgt_lang_special_tokens(self.tgt_lang )





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





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =self.lang_code_to_id[src_lang]
       _SCREAMING_SNAKE_CASE							    =[]
       _SCREAMING_SNAKE_CASE							    =[self.eos_token_id, self.cur_lang_code]





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





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =self.lang_code_to_id[lang]
       _SCREAMING_SNAKE_CASE							    =[]
       _SCREAMING_SNAKE_CASE							    =[self.eos_token_id, self.cur_lang_code]



'''simple docstring'''
import copy
import re







class 							A__    :
  A__		 =				'hp'
  A__		 =				{}
  A__		 =				None





  @classmethod
  def 						A  (		cls      :	Optional[Any]							,					_a      :	Optional[Any]							,					_a      :	Any )	->    Union[str, Any]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =prefix
       _SCREAMING_SNAKE_CASE							    =defaults
       cls.build_naming_info()





  @staticmethod
  def 						A  (		_a      :	Optional[Any]							,					_a      :	List[Any] )	->    Any:





       '''simple docstring'''






       if len(_a ) == 0:
            return ""
       _SCREAMING_SNAKE_CASE							    =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(_a ) + 1 ):
            _SCREAMING_SNAKE_CASE							    =word[:prefix_len]
            if prefix in info["reverse_short_word"]:
                 continue
            else:
                 _SCREAMING_SNAKE_CASE							    =prefix
                 break

       if short_word is None:
            # Paranoid fallback
            def int_to_alphabetic(_a      :	str ):
                 _SCREAMING_SNAKE_CASE							    =''
                 while integer != 0:
                      _SCREAMING_SNAKE_CASE							    =chr(ord('A' ) + integer % 10 ) + s
                      integer //= 10
                 return s

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

       _SCREAMING_SNAKE_CASE							    =short_word
       _SCREAMING_SNAKE_CASE							    =word
       return short_word





  @staticmethod
  def 						A  (		_a      :	Optional[Any]							,					_a      :	int )	->    Optional[int]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =param_name.split('_' )

       _SCREAMING_SNAKE_CASE							    =[TrialShortNamer.shortname_for_word(_a							,					_a ) 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
       _SCREAMING_SNAKE_CASE							    =['', '_']

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

       return param_name





  @staticmethod
  def 						A  (		_a      :	Dict							,					_a      :	int )	->    Optional[Any]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =TrialShortNamer.shortname_for_key(_a							,					_a )
       _SCREAMING_SNAKE_CASE							    =short_name
       _SCREAMING_SNAKE_CASE							    =param_name





  @classmethod
  def 						A  (		cls      :	Optional[int] )	->    Tuple:





       '''simple docstring'''






       if cls.NAMING_INFO is not None:
            return

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

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

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

       _SCREAMING_SNAKE_CASE							    =info





  @classmethod
  def 						A  (		cls      :	List[Any]							,					_a      :	int )	->    int:





       '''simple docstring'''






       cls.build_naming_info()
       assert cls.PREFIX is not None
       _SCREAMING_SNAKE_CASE							    =[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

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

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

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

       return "_".join(_a )





  @classmethod
  def 						A  (		cls      :	Optional[Any]							,					_a      :	List[Any] )	->    Dict:





       '''simple docstring'''






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

       _SCREAMING_SNAKE_CASE							    ={}

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

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

            _SCREAMING_SNAKE_CASE							    =p_v

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

       return parameters
