






'''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, PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							=						'▁'

SCREAMING_SNAKE_CASE							=						{'vocab_file': 'sentencepiece.bpe.model', 'monolingual_vocab_file': 'dict.txt'}

SCREAMING_SNAKE_CASE							=						{
    'vocab_file': {
        'vinai/bartpho-syllable': 'https://huggingface.co/vinai/bartpho-syllable/resolve/main/sentencepiece.bpe.model',
    },
    'monolingual_vocab_file': {
        'vinai/bartpho-syllable': 'https://huggingface.co/vinai/bartpho-syllable/resolve/main/dict.txt',
    },
}

SCREAMING_SNAKE_CASE							=						{'vinai/bartpho-syllable': 1_024}
class UpperCAmelCase_       (     _a					):




      """simple docstring"""




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






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


       '''simple docstring'''

       lowercase       : Union[str, Any]						=AddedToken(snake_case_  ,   lstrip=snake_case_  ,   rstrip=snake_case_		) if isinstance(snake_case_  ,   snake_case_		) else mask_token

       lowercase       : int						={} if sp_model_kwargs is None else sp_model_kwargs

       super().__init__(
           bos_token=snake_case_  ,   eos_token=snake_case_  ,   unk_token=snake_case_  ,   sep_token=snake_case_  ,   cls_token=snake_case_  ,   pad_token=snake_case_  ,   mask_token=snake_case_  ,   sp_model_kwargs=self.sp_model_kwargs  ,   **snake_case_  ,   )

       lowercase       : Any						=vocab_file
       lowercase       : List[str]						=monolingual_vocab_file
       lowercase       : Tuple						=spm.SentencePieceProcessor(**self.sp_model_kwargs		)
       self.sp_model.Load(str(snake_case_		)		)

       # Load the reduced vocab

       # Keep order of special tokens for backward compatibility
       lowercase       : List[str]						={}
       lowercase       : List[Any]						=0
       for token in [bos_token, pad_token, eos_token, unk_token, sep_token, cls_token]:
        if str(snake_case_		) not in self.fairseq_tokens_to_ids:
         lowercase       : Optional[Any]						=cnt
         cnt += 1
       with open(snake_case_  ,   '''r'''  ,   encoding='''utf-8'''		) as f:
        for line in f.readlines():
         lowercase       : int						=line.strip().split()[0]
         lowercase       : int						=len(self.fairseq_tokens_to_ids		)
       if str(snake_case_		) not in self.fairseq_tokens_to_ids:
        lowercase       : Dict						=len(self.fairseq_tokens_to_ids		)

       lowercase       : List[str]						={v: k for k, v in self.fairseq_tokens_to_ids.items()}






      def __getstate__(			self      :		Tuple		)	->	Tuple:


       '''simple docstring'''

       lowercase       : Dict						=self.__dict__.copy()
       lowercase       : Dict						=None
       lowercase       : Tuple						=self.sp_model.serialized_model_proto()
       return state






      def __setstate__(			self      :		str  ,   UpperCAmelCase      :		Tuple		)	->	Optional[Any]:


       '''simple docstring'''

       lowercase       : int						=d

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

       lowercase       : str						=spm.SentencePieceProcessor(**self.sp_model_kwargs		)
       self.sp_model.LoadFromSerializedProto(self.sp_model_proto		)






      def 					A__   (			self      :		str  ,   UpperCAmelCase      :		List[int]  ,   UpperCAmelCase      :		Optional[List[int]] = None		)	->	int:


       '''simple docstring'''

       if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       lowercase       : Tuple						=[self.cls_token_id]
       lowercase       : Any						=[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep






      def 					A__   (			self      :		Optional[int]  ,   UpperCAmelCase      :		List[int]  ,   UpperCAmelCase      :		Optional[List[int]] = None  ,   UpperCAmelCase      :		bool = False		)	->	Optional[Any]:


       '''simple docstring'''

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

       if token_ids_a is None:
        return [1] + ([0] * len(snake_case_		)) + [1]
       return [1] + ([0] * len(snake_case_		)) + [1, 1] + ([0] * len(snake_case_		)) + [1]






      def 					A__   (			self      :		List[Any]  ,   UpperCAmelCase      :		List[int]  ,   UpperCAmelCase      :		Optional[List[int]] = None		)	->	str:


       '''simple docstring'''

       lowercase       : List[str]						=[self.sep_token_id]
       lowercase       : Tuple						=[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]






      @property
      def 					A__   (			self      :		Tuple		)	->	Union[str, Any]:


       '''simple docstring'''

       return len(self.fairseq_ids_to_tokens		)






      def 					A__   (			self      :		Tuple		)	->	List[str]:


       '''simple docstring'''

       lowercase       : Optional[int]						={self.convert_ids_to_tokens(snake_case_		): i for i in range(self.vocab_size		)}
       vocab.update(self.added_tokens_encoder		)
       return vocab






      def 					A__   (			self      :		Optional[Any]  ,   UpperCAmelCase      :		str		)	->	Dict:


       '''simple docstring'''

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






      def 					A__   (			self      :		List[Any]  ,   UpperCAmelCase      :		Union[str, Any]		)	->	List[str]:


       '''simple docstring'''

       if token in self.fairseq_tokens_to_ids:
        return self.fairseq_tokens_to_ids[token]
       else:
        return self.unk_token_id






      def 					A__   (			self      :		Optional[int]  ,   UpperCAmelCase      :		Tuple		)	->	List[Any]:


       '''simple docstring'''

       return self.fairseq_ids_to_tokens[index]






      def 					A__   (			self      :		List[str]  ,   UpperCAmelCase      :		Tuple		)	->	Optional[Any]:


       '''simple docstring'''

       lowercase       : List[Any]						="""""".join(snake_case_		).replace(snake_case_  ,   ''' '''		).strip()
       return out_string






      def 					A__   (			self      :		Any  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		Optional[str] = None		)	->	List[str]:


       '''simple docstring'''

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

       if os.path.abspath(self.vocab_file		) != os.path.abspath(snake_case_		) and os.path.isfile(self.vocab_file		):
        copyfile(self.vocab_file  ,   snake_case_		)
       elif not os.path.isfile(self.vocab_file		):
        with open(snake_case_  ,   '''wb'''		) as fi:
         lowercase       : List[Any]						=self.sp_model.serialized_model_proto()
         fi.write(snake_case_		)

       if os.path.abspath(self.monolingual_vocab_file		) != os.path.abspath(
           snake_case_		) and os.path.isfile(self.monolingual_vocab_file		):
        copyfile(self.monolingual_vocab_file  ,   snake_case_		)
       elif not os.path.isfile(self.monolingual_vocab_file		):
        with open(snake_case_  ,   '''w'''  ,   encoding='''utf-8'''		) as fp:
         for token in self.fairseq_tokens_to_ids:
          if token not in self.all_special_tokens:
           fp.write(f'{str(snake_case_		)} \n'		)

       return out_vocab_file, out_monolingual_vocab_file








'''simple docstring'''





import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


__a  			=						importlib.util.find_spec("s3fs") is not None

if _has_safs:
       from .safilesystem import SaFileSystem  # noqa: F401

__a  			=						[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
       if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
              warnings.warn(F"A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.")
       fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)





def 		__snake_case(							_lowerCAmelCase						)						->					str:
      if "://" in dataset_path:
            snake_case__    :       Tuple       		= dataset_path.split("""://"""						)[1]
      return dataset_path





def 		__snake_case(							_lowerCAmelCase						)						->					bool:
      if fs is not None and fs.protocol != "file":
            return True
      else:
            return False





def 		__snake_case(							_lowerCAmelCase	,  _lowerCAmelCase	,  _lowerCAmelCase						)						->					Optional[int]:
      snake_case__    :       int       		= not is_remote_filesystem(_lowerCAmelCase						)
      if is_local:
            # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
            shutil.move(fs._strip_protocol(_lowerCAmelCase						)	,  fs._strip_protocol(_lowerCAmelCase						)						)
      else:
            fs.mv(_lowerCAmelCase	,  _lowerCAmelCase	,  recursive=_lowerCAmelCase						)





def 		__snake_case(							)						->					None:
      if hasattr(fsspec.asyn	,  """reset_lock"""						):
            # for future fsspec>2022.05.0
            fsspec.asyn.reset_lock()
      else:
            snake_case__    :       Dict       		= None
            snake_case__    :       List[str]       		= None
            snake_case__    :       Union[str, Any]       		= threading.Lock()
