"""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


UpperCAmelCase__  		=						logging.get_logger(__name__)

UpperCAmelCase__  		=						{"""vocab_file""": """sentencepiece.bpe.model"""}

UpperCAmelCase__  		=						{
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
}

UpperCAmelCase__  		=						{
    """moussaKam/mbarthez""": 1_0_2_4,
    """moussaKam/barthez""": 1_0_2_4,
    """moussaKam/barthez-orangesum-title""": 1_0_2_4,
}

UpperCAmelCase__  		=						"""▁"""


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  List[str]     							=							VOCAB_FILES_NAMES
    _snake_case     :  int     							=							PRETRAINED_VOCAB_FILES_MAP
    _snake_case     :  Union[str, Any]     							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _snake_case     :  Optional[Any]     							=							['input_ids', 'attention_mask']


    def __init__(					self	:  str   ,				__lowerCAmelCase	:  Dict   ,				__lowerCAmelCase	:  str="<s>"   ,				__lowerCAmelCase	:  Tuple="</s>"   ,				__lowerCAmelCase	:  Any="</s>"   ,				__lowerCAmelCase	:  Any="<s>"   ,				__lowerCAmelCase	:  List[str]="<unk>"   ,				__lowerCAmelCase	:  int="<pad>"   ,				__lowerCAmelCase	:  Any="<mask>"   ,				__lowerCAmelCase	:  Optional[Dict[str, Any]] = None   ,				**__lowerCAmelCase	:  List[Any]   ,				):
      # Mask token behave like a normal word, i.e. include the space before it
      _UpperCAmelCase						 =      AddedToken(__lowerCAmelCase   ,				lstrip=__lowerCAmelCase   ,				rstrip=__lowerCAmelCase					) if isinstance(__lowerCAmelCase   ,				__lowerCAmelCase					) else mask_token

      _UpperCAmelCase						 =      {} if sp_model_kwargs is None else sp_model_kwargs

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

      _UpperCAmelCase						 =      vocab_file
      _UpperCAmelCase						 =      spm.SentencePieceProcessor(**self.sp_model_kwargs					)
      self.sp_model.Load(str(__lowerCAmelCase					)					)

      _UpperCAmelCase						 =      {"""<s>""": 0, """<pad>""": 1, """</s>""": 2, """<unk>""": 3}

      _UpperCAmelCase						 =      len(self.sp_model					) - 1
      _UpperCAmelCase						 =      {v: k for k, v in self.fairseq_tokens_to_ids.items()}


    def      lowerCAmelCase_  (					self	:  Union[str, Any]   ,				__lowerCAmelCase	:  List[int]   ,				__lowerCAmelCase	:  Optional[List[int]] = None					):

      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      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  List[int]   ,				__lowerCAmelCase	:  Optional[List[int]] = None   ,				__lowerCAmelCase	:  bool = False					):
      if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=__lowerCAmelCase   ,				token_ids_a=__lowerCAmelCase   ,				already_has_special_tokens=__lowerCAmelCase					)

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


    def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  List[int]   ,				__lowerCAmelCase	:  Optional[List[int]] = None					):
      _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      lowerCAmelCase_  (					self	:  int					):
      return len(self.sp_model					)


    def      lowerCAmelCase_  (					self	:  Optional[int]					):
      _UpperCAmelCase						 =      {self.convert_ids_to_tokens(__lowerCAmelCase					): i for i in range(self.vocab_size					)}
      vocab.update(self.added_tokens_encoder					)
      return vocab


    def      lowerCAmelCase_  (					self	:  str   ,				__lowerCAmelCase	:  str					):
      return self.sp_model.encode(__lowerCAmelCase   ,				out_type=__lowerCAmelCase					)


    def      lowerCAmelCase_  (					self	:  str   ,				__lowerCAmelCase	:  List[str]					):
      if token in self.fairseq_tokens_to_ids:
        return self.fairseq_tokens_to_ids[token]
      _UpperCAmelCase						 =      self.sp_model.PieceToId(__lowerCAmelCase					)

      return spm_id if spm_id else self.unk_token_id


    def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  Optional[Any]					):
      if index in self.fairseq_ids_to_tokens:
        return self.fairseq_ids_to_tokens[index]
      return self.sp_model.IdToPiece(__lowerCAmelCase					)


    def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  Union[str, Any]					):
      _UpperCAmelCase						 =      []
      _UpperCAmelCase						 =      """"""
      _UpperCAmelCase						 =      False
      for token in tokens:
        # make sure that special tokens are not decoded using sentencepiece model
        if token in self.all_special_tokens:
          if not prev_is_special:
            out_string += " "
          out_string += self.sp_model.decode(__lowerCAmelCase					) + token
          _UpperCAmelCase						 =      True
          _UpperCAmelCase						 =      []
        else:
          current_sub_tokens.append(__lowerCAmelCase					)
          _UpperCAmelCase						 =      False
      out_string += self.sp_model.decode(__lowerCAmelCase					)
      return out_string.strip()


    def __getstate__(					self	:  Optional[Any]					):
      _UpperCAmelCase						 =      self.__dict__.copy()
      _UpperCAmelCase						 =      None
      return state


    def __setstate__(					self	:  Optional[int]   ,				__lowerCAmelCase	:  Union[str, Any]					):
      _UpperCAmelCase						 =      d

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

      _UpperCAmelCase						 =      spm.SentencePieceProcessor(**self.sp_model_kwargs					)
      self.sp_model.Load(self.vocab_file					)


    def      lowerCAmelCase_  (					self	:  Any   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  Optional[str] = None					):
      if not os.path.isdir(__lowerCAmelCase					):
        logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
        return
      _UpperCAmelCase						 =      os.path.join(
          __lowerCAmelCase   ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)

      if os.path.abspath(self.vocab_file					) != os.path.abspath(__lowerCAmelCase					) and os.path.isfile(self.vocab_file					):
        copyfile(self.vocab_file   ,				__lowerCAmelCase					)
      elif not os.path.isfile(self.vocab_file					):
        with open(__lowerCAmelCase   ,				"""wb"""					) as fi:
          _UpperCAmelCase						 =      self.sp_model.serialized_model_proto()
          fi.write(__lowerCAmelCase					)

      return (out_vocab_file,)

"""simple docstring"""


# Lint as: python3
import itertools
import os
import re


UpperCAmelCase__  		=						re.compile(r"""([A-Z]+)([A-Z][a-z])""")
UpperCAmelCase__  		=						re.compile(r"""([a-z\d])([A-Z])""")

UpperCAmelCase__  		=						re.compile(r"""(?<!_)_(?!_)""")
UpperCAmelCase__  		=						re.compile(r"""(_{2,})""")

UpperCAmelCase__  		=						r"""^\w+(\.\w+)*$"""

UpperCAmelCase__  		=						r"""<>:/\|?*"""






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      _uppercase_uppercase_re.sub(R"""\1_\2"""   ,lowercase		)
  _UpperCAmelCase						 =      _lowercase_uppercase_re.sub(R"""\1_\2"""   ,lowercase		)
  return name.lower()






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      _single_underscore_re.split(lowercase		)
  _UpperCAmelCase						 =      [_multiple_underscores_re.split(lowercase		) for n in name]
  return "".join(n.capitalize() for n in itertools.chain.from_iterable(lowercase		) if n != """"""		)






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  if os.path.basename(lowercase		) != name:
    raise ValueError(f'''Should be a dataset name, not a path: {name}'''		)
  return camelcase_to_snakecase(lowercase		)






def     __UpperCAmelCase					(			lowercase   ,lowercase		):







  """simple docstring"""
  if os.path.basename(lowercase		) != name:
    raise ValueError(f'''Should be a dataset name, not a path: {name}'''		)
  if not re.match(_split_re   ,lowercase		):
    raise ValueError(f'''Split name should match \'{_split_re}\'\' but got \'{split}\'.'''		)
  return f'''{filename_prefix_for_name(lowercase		)}-{split}'''






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      filename_prefix_for_split(lowercase   ,lowercase		)
  if filetype_suffix:
    prefix += f'''.{filetype_suffix}'''
  _UpperCAmelCase						 =      os.path.join(lowercase   ,lowercase		)
  return f'''{filepath}*'''






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase=None   ,lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      filename_prefix_for_split(lowercase   ,lowercase		)
  _UpperCAmelCase						 =      os.path.join(lowercase   ,lowercase		)

  if shard_lengths:
    _UpperCAmelCase						 =      len(lowercase		)
    _UpperCAmelCase						 =      [f'''{prefix}-{shard_id:05d}-of-{num_shards:05d}''' for shard_id in range(lowercase		)]
    if filetype_suffix:
      _UpperCAmelCase						 =      [filename + f'''.{filetype_suffix}''' for filename in filenames]
    return filenames
  else:
    _UpperCAmelCase						 =      prefix
    if filetype_suffix:
      filename += f'''.{filetype_suffix}'''
    return [filename]
