


'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


a_    :							Dict         =					logging.get_logger(__name__)


a_    :							Any         =					{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
a_    :							List[str]         =					{
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

a_    :							List[Any]         =					{
    '''RUCAIBox/mvp''': 1024,
}





class 	snake_case       (       lowercase     ):





  """simple docstring"""




  _lowerCamelCase						       =    VOCAB_FILES_NAMES
  _lowerCamelCase						       =    PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase						       =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase						       =    ["input_ids", "attention_mask"]
  _lowerCamelCase						       =    MvpTokenizer






  def __init__(       self     ,    UpperCamelCase=None     ,    UpperCamelCase=None     ,    UpperCamelCase=None     ,    UpperCamelCase="replace"     ,    UpperCamelCase="<s>"     ,    UpperCamelCase="</s>"     ,    UpperCamelCase="</s>"     ,    UpperCamelCase="<s>"     ,    UpperCamelCase="<unk>"     ,    UpperCamelCase="<pad>"     ,    UpperCamelCase="<mask>"     ,    UpperCamelCase=False     ,    UpperCamelCase=True     ,    **UpperCamelCase     ,    ):







   """simple docstring"""
   super().__init__(
       lowercase__     ,    lowercase__     ,    tokenizer_file=lowercase__     ,    errors=lowercase__     ,    bos_token=lowercase__     ,    eos_token=lowercase__     ,    sep_token=lowercase__     ,    cls_token=lowercase__     ,    unk_token=lowercase__     ,    pad_token=lowercase__     ,    mask_token=lowercase__     ,    add_prefix_space=lowercase__     ,    trim_offsets=lowercase__     ,    **lowercase__     ,    )

   lowerCamelCase_						=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
   if pre_tok_state.get("add_prefix_space"     ,    lowercase__	) != add_prefix_space:
    lowerCamelCase_						=    getattr(lowercase__     ,    pre_tok_state.pop("type"	)	)
    lowerCamelCase_						=    add_prefix_space
    lowerCamelCase_						=    pre_tok_class(**lowercase__	)

   lowerCamelCase_						=    add_prefix_space

   # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
   lowerCamelCase_						=    "post_processor"
   lowerCamelCase_						=    getattr(self.backend_tokenizer     ,    lowercase__     ,    lowercase__	)
   if tokenizer_component_instance:
    lowerCamelCase_						=    json.loads(tokenizer_component_instance.__getstate__()	)

    # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
    if "sep" in state:
     lowerCamelCase_						=    tuple(state["sep"]	)
    if "cls" in state:
     lowerCamelCase_						=    tuple(state["cls"]	)

    lowerCamelCase_						=    False

    if state.get("add_prefix_space"     ,    lowercase__	) != add_prefix_space:
     lowerCamelCase_						=    add_prefix_space
     lowerCamelCase_						=    True

    if state.get("trim_offsets"     ,    lowercase__	) != trim_offsets:
     lowerCamelCase_						=    trim_offsets
     lowerCamelCase_						=    True

    if changes_to_apply:
     lowerCamelCase_						=    getattr(lowercase__     ,    state.pop("type"	)	)
     lowerCamelCase_						=    component_class(**lowercase__	)
     setattr(self.backend_tokenizer     ,    lowercase__     ,    lowercase__	)






  @property
  def     snake_case						(       self	):







   """simple docstring"""



   if self._mask_token is None:
    if self.verbose:
     logger.error("Using mask_token, but it is not set yet."	)
    return None
   return str(self._mask_token	)






  @mask_token.setter
  def     snake_case						(       self     ,    UpperCamelCase	):







   """simple docstring"""
   lowerCamelCase_						=    AddedToken(lowercase__     ,    lstrip=lowercase__     ,    rstrip=lowercase__	) if isinstance(lowercase__     ,    lowercase__	) else value
   lowerCamelCase_						=    value






  def     snake_case						(       self     ,    *UpperCamelCase     ,    **UpperCamelCase	):







   """simple docstring"""
   lowerCamelCase_						=    kwargs.get("is_split_into_words"     ,    lowercase__	)

   if is_split_into_words and not self.add_prefix_space:
    raise ValueError(
        f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
        "to use it with pretokenized inputs."	)

   return super()._batch_encode_plus(*lowercase__     ,    **lowercase__	)






  def     snake_case						(       self     ,    *UpperCamelCase     ,    **UpperCamelCase	):







   """simple docstring"""
   lowerCamelCase_						=    kwargs.get("is_split_into_words"     ,    lowercase__	)

   if is_split_into_words and not self.add_prefix_space:
    raise ValueError(
        f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
        "to use it with pretokenized inputs."	)

   return super()._encode_plus(*lowercase__     ,    **lowercase__	)






  def     snake_case						(       self     ,    UpperCamelCase     ,    UpperCamelCase = None	):







   """simple docstring"""
   lowerCamelCase_						=    self._tokenizer.model.save(lowercase__     ,    name=lowercase__	)
   return tuple(lowercase__	)






  def     snake_case						(       self     ,    UpperCamelCase     ,    UpperCamelCase=None	):







   """simple docstring"""
   lowerCamelCase_						=    [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     snake_case						(       self     ,    UpperCamelCase     ,    UpperCamelCase = None	):







   """simple docstring"""
   lowerCamelCase_						=    [self.sep_token_id]
   lowerCamelCase_						=    [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]






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''')


