





'''simple docstring'''




import json
import os
from typing import Optional, Tuple

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


__SCREAMING_SNAKE_CASE     :int       =				logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :Optional[Any]       =				{'''vocab_file''': '''vocab.json'''}

__SCREAMING_SNAKE_CASE     :Tuple       =				{
    '''vocab_file''': {
        '''mgp-str''': '''https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json''',
    }
}

__SCREAMING_SNAKE_CASE     :List[str]       =				{'''mgp-str''': 27}







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Any           =							VOCAB_FILES_NAMES
 _lowerCamelCase  : int           =							PRETRAINED_VOCAB_FILES_MAP
 _lowerCamelCase  : str           =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




 def __init__(					self       :    int	,			snake_case_       :    List[str]	,			snake_case_       :    List[Any]="[GO]"	,			snake_case_       :    Optional[Any]="[GO]"	,			snake_case_       :    Union[str, Any]="[s]"	,			snake_case_       :    Any="[GO]"	,			**snake_case_       :    Dict    ):
      super().__init__(
          unk_token=snake_case_	,			bos_token=snake_case_	,			eos_token=snake_case_	,			pad_token=snake_case_	,			**snake_case_	,			)

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




 @property
 def      lowercase	(					self       :    str    ):
      return len(self.vocab    )




 def      lowercase	(					self       :    int    ):
      return dict(self.vocab	,			**self.added_tokens_encoder    )




 def      lowercase	(					self       :    Optional[Any]	,			snake_case_       :    int    ):
      _UpperCAmelCase     							=   []
      for s in text:
           char_tokens.extend(snake_case_    )
      return char_tokens




 def      lowercase	(					self       :    Union[str, Any]	,			snake_case_       :    Union[str, Any]    ):
      return self.vocab.get(snake_case_	,			self.vocab.get(self.unk_token    )    )




 def      lowercase	(					self       :    int	,			snake_case_       :    int    ):
      return self.decoder.get(snake_case_    )




 def      lowercase	(					self       :    int	,			snake_case_       :    str	,			snake_case_       :    Optional[str] = None    ):
      if not os.path.isdir(snake_case_    ):
           logger.error("Vocabulary path ({}) should be a directory".format(snake_case_    )    )
           return
      _UpperCAmelCase     							=   os.path.join(
          snake_case_	,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]    )

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

      return (vocab_file,)








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        SCREAMING_SNAKE_CASE_						(			__A :			List[str]				)	->		str:

       """simple docstring"""

       a_					:		Tuple							=  []
       for line in lines:
              a_					:		Any							=  re.sub(R'#.*'  ,    ''  ,    __A				)  # remove comments
              if line:
                     filtered_lines.append(__A				)
       a_					:		Tuple							=  '\n'.join(__A				)

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


# get importable module names and hash for caching
UpperCAmelCase_      : List[Any]  					=       {
    '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
UpperCAmelCase_      : Dict  					=       {
    '.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})
UpperCAmelCase_      : Optional[int]  					=       {'imagefolder', 'audiofolder'}

# Used to filter data files based on extensions given a module name
UpperCAmelCase_      : 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')


