'''simple docstring'''





import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


SCREAMING_SNAKE_CASE_:	Any    =logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_:	Tuple    ='▁'

SCREAMING_SNAKE_CASE_:	List[Any]    ={
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
    'tokenizer_config_file': 'tokenizer_config.json',
}

SCREAMING_SNAKE_CASE_:	Any    ={
    'vocab_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json',
    },
    'spm_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_config_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json',
    },
}

SCREAMING_SNAKE_CASE_:	int    ={
    'facebook/m2m100_418M': 10_24,
}

# fmt: off
SCREAMING_SNAKE_CASE_:	Union[str, Any]    ={
    'm2m100': ['af', 'am', 'ar', 'ast', 'az', 'ba', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'ceb', 'cs', 'cy', 'da', 'de', 'el', 'en', 'es', 'et', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'ilo', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'lb', 'lg', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'oc', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'th', 'tl', 'tn', 'tr', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zh', 'zu'],
    'wmt21': ['en', 'ha', 'is', 'ja', 'cs', 'ru', 'zh', 'de']
}




class 			__A (					UpperCamelCase__      ):
    a__			:		Any			  =    VOCAB_FILES_NAMES
    a__			:		Any			  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__			:		str			  =    PRETRAINED_VOCAB_FILES_MAP
    a__			:		Optional[Any]			  =    ["""input_ids""", """attention_mask"""]

    a__			:		List[int]			  =    []
    a__			:		List[int]			  =    []



    def __init__(self       :       List[str]  ,     __a       :       List[str]  ,     __a       :       Any  ,     __a       :       Optional[int]=None  ,     __a       :       Optional[int]=None  ,     __a       :       Dict="<s>"  ,     __a       :       Optional[Any]="</s>"  ,     __a       :       List[str]="</s>"  ,     __a       :       Union[str, Any]="<pad>"  ,     __a       :       str="<unk>"  ,     __a       :       str="m2m100"  ,     __a       :       Optional[Dict[str, Any]] = None  ,     __a       :       int=8  ,     **__a       :       int  ,     ):
         UpperCAmelCase_			       =  {} if sp_model_kwargs is None else sp_model_kwargs

         UpperCAmelCase_			       =  language_codes
         UpperCAmelCase_			       =  FAIRSEQ_LANGUAGE_CODES[language_codes]
         UpperCAmelCase_			       =  {lang_code: f"""__{lang_code}__""" for lang_code in fairseq_language_code}

         UpperCAmelCase_			       =  kwargs.get("additional_special_tokens"  ,     []					)
         kwargs["additional_special_tokens"] += [
             self.get_lang_token(__a					)
             for lang_code in fairseq_language_code
             if self.get_lang_token(__a					) not in kwargs["additional_special_tokens"]
         ]

         super().__init__(
             src_lang=__a  ,     tgt_lang=__a  ,     bos_token=__a  ,     eos_token=__a  ,     sep_token=__a  ,     unk_token=__a  ,     pad_token=__a  ,     language_codes=__a  ,     sp_model_kwargs=self.sp_model_kwargs  ,     num_madeup_words=__a  ,     **__a  ,     )

         UpperCAmelCase_			       =  vocab_file
         UpperCAmelCase_			       =  load_json(__a					)
         UpperCAmelCase_			       =  {v: k for k, v in self.encoder.items()}
         UpperCAmelCase_			       =  spm_file
         UpperCAmelCase_			       =  load_spm(__a  ,     self.sp_model_kwargs					)

         UpperCAmelCase_			       =  len(self.encoder					)

         UpperCAmelCase_			       =  {
             self.get_lang_token(__a					): self.encoder_size + i for i, lang_code in enumerate(__a					)
         }
         UpperCAmelCase_			       =  {lang_code: self.encoder_size + i for i, lang_code in enumerate(__a					)}
         UpperCAmelCase_			       =  {v: k for k, v in self.lang_token_to_id.items()}

         UpperCAmelCase_			       =  src_lang if src_lang is not None else "en"
         UpperCAmelCase_			       =  tgt_lang
         UpperCAmelCase_			       =  self.get_lang_id(self._src_lang					)
         self.set_src_lang_special_tokens(self._src_lang					)

         UpperCAmelCase_			       =  num_madeup_words



    @property
    def    _lowercase		(self       :       List[str]					):
         return len(self.encoder					) + len(self.lang_token_to_id					)



    @property
    def    _lowercase		(self       :       str					):
         return self._src_lang



    @src_lang.setter
    def    _lowercase		(self       :       Optional[int]  ,     __a       :       str					):
         UpperCAmelCase_			       =  new_src_lang
         self.set_src_lang_special_tokens(self._src_lang					)



    def    _lowercase		(self       :       List[Any]  ,     __a       :       str					):
         return self.sp_model.encode(__a  ,     out_type=__a					)



    def    _lowercase		(self       :       str  ,     __a       :       str					):
         if token in self.lang_token_to_id:
              return self.lang_token_to_id[token]
         return self.encoder.get(__a  ,     self.encoder[self.unk_token]					)



    def    _lowercase		(self       :       Union[str, Any]  ,     __a       :       int					):
         if index in self.id_to_lang_token:
              return self.id_to_lang_token[index]
         return self.decoder.get(__a  ,     self.unk_token					)



    def    _lowercase		(self       :       List[str]  ,     __a       :       Union[str, Any]					):
         UpperCAmelCase_			       =  []
         UpperCAmelCase_			       =  ""
         for token in tokens:
              # make sure that special tokens are not decoded using sentencepiece model
              if token in self.all_special_tokens:
                   out_string += self.sp_model.decode(__a					) + token
                   UpperCAmelCase_			       =  []
              else:
                   current_sub_tokens.append(__a					)
         out_string += self.sp_model.decode(__a					)
         return out_string.strip()



    def    _lowercase		(self       :       List[str]  ,     __a       :       List[int]  ,     __a       :       Optional[List[int]] = None  ,     __a       :       bool = False					):

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

         UpperCAmelCase_			       =  [1] * len(self.prefix_tokens					)
         UpperCAmelCase_			       =  [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    _lowercase		(self       :       List[Any]  ,     __a       :       List[int]  ,     __a       :       Optional[List[int]] = 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    _lowercase		(self       :       List[Any]					):
         UpperCAmelCase_			       =  {self.convert_ids_to_tokens(__a					): i for i in range(self.vocab_size					)}
         vocab.update(self.added_tokens_encoder					)
         return vocab



    def __getstate__(self       :       Tuple					):
         UpperCAmelCase_			       =  self.__dict__.copy()
         UpperCAmelCase_			       =  None
         return state



    def __setstate__(self       :       Tuple  ,     __a       :       Dict					):
         UpperCAmelCase_			       =  d

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

         UpperCAmelCase_			       =  load_spm(self.spm_file  ,     self.sp_model_kwargs					)



    def    _lowercase		(self       :       Tuple  ,     __a       :       str  ,     __a       :       Optional[str] = None					):
         UpperCAmelCase_			       =  Path(__a					)
         if not save_dir.is_dir():
              raise OSError(f"""{save_directory} should be a directory"""					)
         UpperCAmelCase_			       =  save_dir / (
             (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
         )
         UpperCAmelCase_			       =  save_dir / (
             (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
         )

         save_json(self.encoder  ,     __a					)

         if os.path.abspath(self.spm_file					) != os.path.abspath(__a					) and os.path.isfile(self.spm_file					):
              copyfile(self.spm_file  ,     __a					)
         elif not os.path.isfile(self.spm_file					):
              with open(__a  ,     "wb"					) as fi:
                   UpperCAmelCase_			       =  self.sp_model.serialized_model_proto()
                   fi.write(__a					)

         return (str(__a					), str(__a					))



    def    _lowercase		(self       :       int  ,     __a       :       List[str]  ,     __a       :       str = "en"  ,     __a       :       Optional[List[str]] = None  ,     __a       :       str = "ro"  ,     **__a       :       Optional[Any]  ,     ):
         UpperCAmelCase_			       =  src_lang
         UpperCAmelCase_			       =  tgt_lang
         self.set_src_lang_special_tokens(self.src_lang					)
         return super().prepare_seqaseq_batch(__a  ,     __a  ,     **__a					)



    def    _lowercase		(self       :       str  ,     __a       :       List[Any]  ,     __a       :       Optional[str]  ,     __a       :       Optional[str]  ,     **__a       :       Tuple					):
         if src_lang is None or tgt_lang is None:
              raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"					)
         UpperCAmelCase_			       =  src_lang
         UpperCAmelCase_			       =  self(__a  ,     add_special_tokens=__a  ,     **__a					)
         UpperCAmelCase_			       =  self.get_lang_id(__a					)
         UpperCAmelCase_			       =  tgt_lang_id
         return inputs



    def    _lowercase		(self       :       int					):
         self.set_src_lang_special_tokens(self.src_lang					)



    def    _lowercase		(self       :       Tuple					):
         self.set_tgt_lang_special_tokens(self.tgt_lang					)



    def    _lowercase		(self       :       int  ,     __a       :       str					):
         UpperCAmelCase_			       =  self.get_lang_token(__a					)
         UpperCAmelCase_			       =  self.lang_token_to_id[lang_token]
         UpperCAmelCase_			       =  [self.cur_lang_id]
         UpperCAmelCase_			       =  [self.eos_token_id]



    def    _lowercase		(self       :       Optional[Any]  ,     __a       :       str					):
         UpperCAmelCase_			       =  self.get_lang_token(__a					)
         UpperCAmelCase_			       =  self.lang_token_to_id[lang_token]
         UpperCAmelCase_			       =  [self.cur_lang_id]
         UpperCAmelCase_			       =  [self.eos_token_id]



    def    _lowercase		(self       :       List[Any]  ,     __a       :       str					):
         return self.lang_code_to_token[lang]






    def    _lowercase		(self       :       str  ,     __a       :       str					):
         UpperCAmelCase_			       =  self.get_lang_token(__a					)
         return self.lang_token_to_id[lang_token]





def       lowerCAmelCase_							(   snake_case_			:					str   ,       snake_case_			:					Dict[str, Any]     )       -> sentencepiece.SentencePieceProcessor:


     '''simple docstring'''




     UpperCAmelCase_			       =  sentencepiece.SentencePieceProcessor(**snake_case_     )
     spm.Load(str(snake_case_     )     )
     return spm





def       lowerCAmelCase_							(   snake_case_			:					str     )       -> Union[Dict, List]:


     '''simple docstring'''




     with open(snake_case_   ,       "r"     ) as f:
          return json.load(snake_case_     )






def       lowerCAmelCase_							(   snake_case_			:					Tuple   ,       snake_case_			:					str     )       -> None:


     '''simple docstring'''




     with open(snake_case_   ,       "w"     ) as f:
          json.dump(snake_case_   ,       snake_case_   ,       indent=2     )







"""simple docstring"""




# flake8: noqa
# Lint as: python3
A_				:      List[str]           =			[
    "VerificationMode",
    "Version",
    "disable_progress_bar",
    "enable_progress_bar",
    "is_progress_bar_enabled",
    "experimental",
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental


