





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


lowercase    : int    	=  logging.get_logger(__name__)

lowercase    : Any    	=  """▁"""

lowercase    : Dict    	=  {"""vocab_file""": """sentencepiece.bpe.model""", """monolingual_vocab_file""": """dict.txt"""}

lowercase    : Any    	=  {
    """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""",
    },
}

lowercase    : str    	=  {"""vinai/bartpho-syllable""": 1024}

class  __A(						__UpperCAmelCase ):
     __A	  =  VOCAB_FILES_NAMES
     __A	  =  PRETRAINED_VOCAB_FILES_MAP
     __A	  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A	  =  ["""input_ids""", """attention_mask"""]

     def __init__(      self,       A,       A,       A="<s>",       A="</s>",       A="</s>",       A="<s>",       A="<unk>",       A="<pad>",       A="<mask>",       A = None,       **A,       ):





            """simple docstring"""

            _UpperCamelCase              =						AddedToken(A,       lstrip=A,       rstrip=A      ) if isinstance(A,       A      ) else mask_token

            _UpperCamelCase              =						{} 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,       sp_model_kwargs=self.sp_model_kwargs,       **A,       )

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

            # Load the reduced vocab

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

            _UpperCamelCase              =						{v: k for k, v in self.fairseq_tokens_to_ids.items()}

     def __getstate__(      self      ):





            """simple docstring"""

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

     def __setstate__(      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						d

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

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

     def 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

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

     def 	_UpperCamelCase     (      self,       A,       A = None,       A = False      ):





            """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      )

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

     def 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

            _UpperCamelCase              =						[self.sep_token_id]
            _UpperCamelCase              =						[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 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            return len(self.fairseq_ids_to_tokens      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

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

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

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

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

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

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            return self.fairseq_ids_to_tokens[index]

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						''''''.join(A      ).replace(A,       ''' '''      ).strip()
            return out_string



     def 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

            if not os.path.isdir(A      ):
                   logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
                   return
            _UpperCamelCase              =						os.path.join(
                A,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
            _UpperCamelCase              =						os.path.join(
                A,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''monolingual_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:
                          _UpperCamelCase              =						self.sp_model.serialized_model_proto()
                          fi.write(A      )

            if os.path.abspath(self.monolingual_vocab_file      ) != os.path.abspath(
                A      ) and os.path.isfile(self.monolingual_vocab_file      ):
                   copyfile(self.monolingual_vocab_file,       A      )
            elif not os.path.isfile(self.monolingual_vocab_file      ):
                   with open(A,       '''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(A      )} \n'''      )

            return out_vocab_file, out_monolingual_vocab_file













import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase    : str    	=  logging.get_logger(__name__)

lowercase    : Tuple    	=  {"""vocab_file""": """vocab.json"""}

lowercase    : int    	=  {
    """vocab_file""": {
        """mgp-str""": """https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json""",
    }
}

lowercase    : int    	=  {"""mgp-str""": 27}

class  __A(						__UpperCAmelCase ):
     __A	  =       VOCAB_FILES_NAMES
     __A	  =       PRETRAINED_VOCAB_FILES_MAP
     __A	  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

     def __init__(      self,       A,       A="[GO]",       A="[GO]",       A="[s]",       A="[GO]",       **A      ):





            """simple docstring"""

            super().__init__(
                unk_token=A,       bos_token=A,       eos_token=A,       pad_token=A,       **A,       )

            with open(A,       encoding='''utf-8'''      ) as vocab_handle:
                   _UpperCamelCase              =						json.load(A      )
            _UpperCamelCase              =						{v: k for k, v in self.vocab.items()}

     @property
     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            return len(self.vocab      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            return dict(self.vocab,       **self.added_tokens_encoder      )

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						[]
            for s in text:
                   char_tokens.extend(A      )
            return char_tokens

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            return self.vocab.get(A,       self.vocab.get(self.unk_token      )      )

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            return self.decoder.get(A      )



     def 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

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

            with open(A,       '''w''',       encoding='''utf-8'''      ) as f:
                   f.write(json.dumps(self.vocab,       indent=2,       sort_keys=A,       ensure_ascii=A      ) + '''\n'''      )

            return (vocab_file,)






