



'''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 PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE__      					=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__      					=     "▁"

SCREAMING_SNAKE_CASE__      					=     {
    "vocab_file": "vocab.json",
    "spm_file": "sentencepiece.bpe.model",
}

SCREAMING_SNAKE_CASE__      					=     {
    "vocab_file": {
        "facebook/s2t-small-librispeech-asr": (
            "https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json"
        ),
    },
    "spm_file": {
        "facebook/s2t-small-librispeech-asr": (
            "https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model"
        )
    },
}

SCREAMING_SNAKE_CASE__      					=     {
    "facebook/s2t-small-librispeech-asr": 1024,
}

SCREAMING_SNAKE_CASE__      					=     ["pt", "fr", "ru", "nl", "ro", "it", "es", "de"]

SCREAMING_SNAKE_CASE__      					=     {"mustc": MUSTC_LANGS}


class 				snake_case (UpperCamelCase   ):
       lowerCAmelCase__  :Optional[Any]						   =					VOCAB_FILES_NAMES
       lowerCAmelCase__  :Optional[int]						   =					PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__  :Dict						   =					MAX_MODEL_INPUT_SIZES
       lowerCAmelCase__  :Dict						   =					["input_ids", "attention_mask"]

       lowerCAmelCase__  :List[int]						   =					[]



       def __init__(				self     ,UpperCAmelCase_     ,UpperCAmelCase_     ,UpperCAmelCase_="<s>"     ,UpperCAmelCase_="</s>"     ,UpperCAmelCase_="<pad>"     ,UpperCAmelCase_="<unk>"     ,UpperCAmelCase_=False     ,UpperCAmelCase_=False     ,UpperCAmelCase_=None     ,UpperCAmelCase_=None     ,UpperCAmelCase_ = None     ,**UpperCAmelCase_     ,)  ->							None:
           lowercase__		       =						{} if sp_model_kwargs is None else sp_model_kwargs

           super().__init__(
               bos_token=UpperCAmelCase_     ,eos_token=UpperCAmelCase_     ,unk_token=UpperCAmelCase_     ,pad_token=UpperCAmelCase_     ,do_upper_case=UpperCAmelCase_     ,do_lower_case=UpperCAmelCase_     ,tgt_lang=UpperCAmelCase_     ,lang_codes=UpperCAmelCase_     ,sp_model_kwargs=self.sp_model_kwargs     ,**UpperCAmelCase_     ,)
           lowercase__		       =						do_upper_case
           lowercase__		       =						do_lower_case

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

           if lang_codes is not None:
               lowercase__		       =						lang_codes
               lowercase__		       =						LANGUAGES[lang_codes]
               lowercase__		       =						[F'''<lang:{lang}>''' for lang in self.langs]
               lowercase__		       =						{lang: self.sp_model.PieceToId(F'''<lang:{lang}>'''      ) for lang in self.langs}

               lowercase__		       =						self.lang_tokens
               lowercase__		       =						tgt_lang if tgt_lang is not None else self.langs[0]

               self.set_tgt_lang_special_tokens(self._tgt_lang      )
           else:
               lowercase__		       =						{}



       @property
       def 							_a      (				self      )  ->							int:
           return len(self.encoder      )



       @property
       def 							_a      (				self      )  ->							str:
           return self._tgt_lang



       @tgt_lang.setter
       def 							_a      (				self     ,UpperCAmelCase_      )  ->							None:
           lowercase__		       =						new_tgt_lang
           self.set_tgt_lang_special_tokens(UpperCAmelCase_      )



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							None:
           lowercase__		       =						self.lang_code_to_id[tgt_lang]
           lowercase__		       =						[lang_code_id]



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							List[str]:
           return self.sp_model.encode(UpperCAmelCase_     ,out_type=UpperCAmelCase_      )



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							List[Any]:
           return self.encoder.get(UpperCAmelCase_     ,self.encoder[self.unk_token]      )



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							str:
           return self.decoder.get(UpperCAmelCase_     ,self.unk_token      )



       def 							_a      (				self     ,UpperCAmelCase_      )  ->							str:
           lowercase__		       =						[]
           lowercase__		       =						""
           for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                   lowercase__		       =						self.sp_model.decode(UpperCAmelCase_      )
                   out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
                   lowercase__		       =						[]
               else:
                   current_sub_tokens.append(UpperCAmelCase_      )
           lowercase__		       =						self.sp_model.decode(UpperCAmelCase_      )
           out_string += decoded.upper() if self.do_upper_case else decoded
           return out_string.strip()



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_=None      )  ->							List[int]:
           if token_ids_a is None:
               return self.prefix_tokens + token_ids_a + [self.eos_token_id]
           # 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.eos_token_id]



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

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

           lowercase__		       =						[1] * len(self.prefix_tokens      )
           lowercase__		       =						[1]
           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      )  ->							Dict:
           lowercase__		       =						self.encoder.copy()
           vocab.update(self.added_tokens_encoder      )
           return vocab



       def __getstate__(				self      )  ->							Dict:
           lowercase__		       =						self.__dict__.copy()
           lowercase__		       =						None
           return state



       def __setstate__(				self     ,UpperCAmelCase_      )  ->							None:
           lowercase__		       =						d

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

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







       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							Tuple[str]:
           lowercase__		       =						Path(UpperCAmelCase_      )
           assert save_dir.is_dir(), F'''{save_directory} should be a directory'''
           lowercase__		       =						save_dir / (
               (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
           )
           lowercase__		       =						save_dir / (
               (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
           )

           save_json(self.encoder     ,UpperCAmelCase_      )

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

           return (str(UpperCAmelCase_      ), str(UpperCAmelCase_      ))





def        lowerCamelCase  (				_snake_case  :						str     ,_snake_case  :						Dict[str, Any]       ):





    '''simple docstring'''


    lowercase__		       =						sentencepiece.SentencePieceProcessor(**_snake_case       )
    spm.Load(str(_snake_case       )       )
    return spm




def        lowerCamelCase  (				_snake_case  :						str       ):





    '''simple docstring'''


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




def        lowerCamelCase  (				_snake_case  :						str     ,_snake_case  :						str       ):





    '''simple docstring'''


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









'''simple docstring'''





from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


SCREAMING_SNAKE_CASE__      					=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__      					=     {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

SCREAMING_SNAKE_CASE__      					=     {
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

SCREAMING_SNAKE_CASE__      					=     {
    "facebook/blenderbot_small-90M": 512,
}


class 				snake_case (UpperCamelCase   ):
       lowerCAmelCase__  :Union[str, Any]						   =					VOCAB_FILES_NAMES
       lowerCAmelCase__  :Any						   =					PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__  :str						   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase__  :List[Any]						   =					BlenderbotSmallTokenizer



       def __init__(				self     ,UpperCAmelCase_=None     ,UpperCAmelCase_=None     ,UpperCAmelCase_="<|endoftext|>"     ,UpperCAmelCase_="<|endoftext|>"     ,UpperCAmelCase_="<|endoftext|>"     ,UpperCAmelCase_=False     ,UpperCAmelCase_=True     ,**UpperCAmelCase_     ,)  ->							Optional[Any]:
           super().__init__(
               ByteLevelBPETokenizer(
                   vocab=UpperCAmelCase_     ,merges=UpperCAmelCase_     ,add_prefix_space=UpperCAmelCase_     ,trim_offsets=UpperCAmelCase_     ,)     ,bos_token=UpperCAmelCase_     ,eos_token=UpperCAmelCase_     ,unk_token=UpperCAmelCase_     ,**UpperCAmelCase_     ,)
           lowercase__		       =						add_prefix_space



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_=None      )  ->							Optional[int]:
           lowercase__		       =						[self.bos_token_id] + token_ids_a + [self.eos_token_id]
           if token_ids_a is None:
               return output

           return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							List[int]:
           lowercase__		       =						[self.sep_token_id]
           lowercase__		       =						[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]




