
import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

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


lowercase_ 				=			logging.get_logger(__name__)

lowercase_ 				=			{
    """vocab_file""": """vocab.txt""",
    """merges_file""": """bpe.codes""",
}

lowercase_ 				=			{
    """vocab_file""": {
        """vinai/phobert-base""": """https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt""",
        """vinai/phobert-large""": """https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt""",
    },
    """merges_file""": {
        """vinai/phobert-base""": """https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes""",
        """vinai/phobert-large""": """https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes""",
    },
}

lowercase_ 				=			{
    """vinai/phobert-base""": 256,
    """vinai/phobert-large""": 256,
}


def 							a__					(							snake_case							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		set()
  __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)							)
    __SCREAMING_SNAKE_CASE      :	int					=		char

  __SCREAMING_SNAKE_CASE      :	str					=		set(snake_case							)
  return pairs





class     __UpperCamelCase (							lowerCAmelCase__       ):






     """simple docstring"""







     lowerCAmelCase_							   =			VOCAB_FILES_NAMES
     lowerCAmelCase_							   =			PRETRAINED_VOCAB_FILES_MAP
     lowerCAmelCase_							   =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



     def __init__(				self							:							List[str]     ,						_A							:							Tuple     ,						_A							:							Optional[Any]     ,						_A							:							str="<s>"     ,						_A							:							Any="</s>"     ,						_A							:							List[str]="</s>"     ,						_A							:							str="<s>"     ,						_A							:							Optional[int]="<unk>"     ,						_A							:							Any="<pad>"     ,						_A							:							Dict="<mask>"     ,						**_A							:							Tuple     ,						):







       """simple docstring"""




       super().__init__(
           bos_token=_A     ,						eos_token=_A     ,						unk_token=_A     ,						sep_token=_A     ,						cls_token=_A     ,						pad_token=_A     ,						mask_token=_A     ,						**_A     ,						)

       __SCREAMING_SNAKE_CASE      :	str					=		vocab_file
       __SCREAMING_SNAKE_CASE      :	List[Any]					=		merges_file

       __SCREAMING_SNAKE_CASE      :	List[str]					=		{}
       __SCREAMING_SNAKE_CASE      :	Optional[int]					=		0
       __SCREAMING_SNAKE_CASE      :	List[str]					=		1
       __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		2
       __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		3

       self.add_from_file(_A )

       __SCREAMING_SNAKE_CASE      :	Tuple					=		{v: k for k, v in self.encoder.items()}

       with open(_A     ,						encoding='''utf-8''' ) as merges_handle:
         __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		merges_handle.read().split('''\n''' )[:-1]
       __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		[tuple(merge.split()[:-1] ) for merge in merges]
       __SCREAMING_SNAKE_CASE      :	Tuple					=		dict(zip(_A     ,						range(len(_A ) ) ) )
       __SCREAMING_SNAKE_CASE      :	List[Any]					=		{}



     def  UpperCAmelCase__							(				self							:							List[str]     ,						_A							:							List[int]     ,						_A							:							Optional[List[int]] = None ):







       """simple docstring"""




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



     def  UpperCAmelCase__							(				self							:							Optional[Any]     ,						_A							:							List[int]     ,						_A							:							Optional[List[int]] = None     ,						_A							:							bool = 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							:							List[Any]     ,						_A							:							List[int]     ,						_A							:							Optional[List[int]] = None ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	int					=		[self.sep_token_id]
       __SCREAMING_SNAKE_CASE      :	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  UpperCAmelCase__							(				self							:							List[str] ):







       """simple docstring"""




       return len(self.encoder )



     def  UpperCAmelCase__							(				self							:							Tuple ):







       """simple docstring"""




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



     def  UpperCAmelCase__							(				self							:							List[str]     ,						_A							:							List[Any] ):







       """simple docstring"""




       if token in self.cache:
         return self.cache[token]
       __SCREAMING_SNAKE_CASE      :	int					=		tuple(_A )
       __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		tuple(list(word[:-1] ) + [word[-1] + '''</w>'''] )
       __SCREAMING_SNAKE_CASE      :	Optional[int]					=		get_pairs(_A )

       if not pairs:
         return token

       while True:
         __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		min(_A     ,						key=lambda _A : self.bpe_ranks.get(_A     ,						float('''inf''' ) ) )
         if bigram not in self.bpe_ranks:
           break
         __SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE      :	Tuple					=		bigram
         __SCREAMING_SNAKE_CASE      :	List[str]					=		[]
         __SCREAMING_SNAKE_CASE      :	List[str]					=		0
         while i < len(_A ):
           try:
             __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		word.index(_A     ,						_A )
           except ValueError:
             new_word.extend(word[i:] )
             break
           else:
             new_word.extend(word[i:j] )
             __SCREAMING_SNAKE_CASE      :	Dict					=		j

           if word[i] == first and i < len(_A ) - 1 and word[i + 1] == second:
             new_word.append(first + second )
             i += 2
           else:
             new_word.append(word[i] )
             i += 1
         __SCREAMING_SNAKE_CASE      :	List[str]					=		tuple(_A )
         __SCREAMING_SNAKE_CASE      :	List[Any]					=		new_word
         if len(_A ) == 1:
           break
         else:
           __SCREAMING_SNAKE_CASE      :	Tuple					=		get_pairs(_A )
       __SCREAMING_SNAKE_CASE      :	Tuple					=		'''@@ '''.join(_A )
       __SCREAMING_SNAKE_CASE      :	Tuple					=		word[:-4]
       __SCREAMING_SNAKE_CASE      :	Optional[int]					=		word
       return word



     def  UpperCAmelCase__							(				self							:							str     ,						_A							:							Optional[int] ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	int					=		[]

       __SCREAMING_SNAKE_CASE      :	Optional[int]					=		re.findall(r'''\S+\n?'''     ,						_A )

       for token in words:
         split_tokens.extend(list(self.bpe(_A ).split(''' ''' ) ) )
       return split_tokens



     def  UpperCAmelCase__							(				self							:							List[str]     ,						_A							:							Optional[Any] ):







       """simple docstring"""




       return self.encoder.get(_A     ,						self.encoder.get(self.unk_token ) )



     def  UpperCAmelCase__							(				self							:							Dict     ,						_A							:							int ):







       """simple docstring"""




       return self.decoder.get(_A     ,						self.unk_token )



     def  UpperCAmelCase__							(				self							:							Union[str, Any]     ,						_A							:							str ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	List[Any]					=		''' '''.join(_A ).replace('''@@ '''     ,						'''''' ).strip()
       return out_string



     def  UpperCAmelCase__							(				self							:							Dict     ,						_A							:							str     ,						_A							:							Optional[str] = None ):







       """simple docstring"""




       if not os.path.isdir(_A ):
         logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
         return
       __SCREAMING_SNAKE_CASE      :	Tuple					=		os.path.join(
           _A     ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
       __SCREAMING_SNAKE_CASE      :	Tuple					=		os.path.join(
           _A     ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''] )

       if os.path.abspath(self.vocab_file ) != os.path.abspath(_A ):
         copyfile(self.vocab_file     ,						_A )

       if os.path.abspath(self.merges_file ) != os.path.abspath(_A ):
         copyfile(self.merges_file     ,						_A )

       return out_vocab_file, out_merge_file




     def  UpperCAmelCase__							(				self							:							Optional[Any]     ,						_A							:							str ):







       """simple docstring"""




       if isinstance(_A     ,						_A ):
         try:
           with open(_A     ,						'''r'''     ,						encoding='''utf-8''' ) as fd:
             self.add_from_file(_A )
         except FileNotFoundError as fnfe:
           raise fnfe
         except UnicodeError:
           raise Exception(F'''Incorrect encoding detected in {f}, please rebuild the dataset''' )
         return

       __SCREAMING_SNAKE_CASE      :	Any					=		f.readlines()
       for lineTmp in lines:
         __SCREAMING_SNAKE_CASE      :	List[Any]					=		lineTmp.strip()
         __SCREAMING_SNAKE_CASE      :	Tuple					=		line.rfind(''' ''' )
         if idx == -1:
           raise ValueError('''Incorrect dictionary format, expected \'<token> <cnt>\'''' )
         __SCREAMING_SNAKE_CASE      :	Tuple					=		line[:idx]
         __SCREAMING_SNAKE_CASE      :	Optional[int]					=		len(self.encoder )



import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text





def      A__					(			__A  :						List[str]			)					->str:
      __A    =[]
      for line in lines:
            __A    =re.sub(r'''#.*'''     ,				''''''     ,				__A			)  # remove comments
            if line:
                  filtered_lines.append(__A			)
      __A    ='''\n'''.join(__A			)

      # Make a hash from all this code
      __A    =full_str.encode('''utf-8'''			)
      return shaaaa(__A			).hexdigest()


# get importable module names and hash for caching
_lowerCamelCase      :					Dict					    =      {
    '''csv''': (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    '''json''': (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    '''pandas''': (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    '''parquet''': (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    '''arrow''': (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    '''text''': (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    '''imagefolder''': (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    '''audiofolder''': (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
_lowerCamelCase      :					int					    =      {
    '''.csv''': ('''csv''', {}),
    '''.tsv''': ('''csv''', {'''sep''': '''\t'''}),
    '''.json''': ('''json''', {}),
    '''.jsonl''': ('''json''', {}),
    '''.parquet''': ('''parquet''', {}),
    '''.arrow''': ('''arrow''', {}),
    '''.txt''': ('''text''', {}),
}
_EXTENSION_TO_MODULE.update({ext: ('''imagefolder''', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('''imagefolder''', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ('''audiofolder''', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('''audiofolder''', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_lowerCamelCase      :					List[str]					    =      {'''imagefolder''', '''audiofolder'''}

# Used to filter data files based on extensions given a module name
_lowerCamelCase      :					Dict[str, List[str]]					    =      {}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
   _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append('''.zip''')


_MODULE_TO_EXTENSIONS["audiofolder"].append('''.zip''')


