





"""simple docstring"""





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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_big_bird import BigBirdTokenizer
else:
       SCREAMING_SNAKE_CASE__					=   None

SCREAMING_SNAKE_CASE__					=   logging.get_logger(__name__)
SCREAMING_SNAKE_CASE__					=   {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

SCREAMING_SNAKE_CASE__					=   {
    "vocab_file": {
        "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model",
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"
        ),
    },
    "tokenizer_file": {
        "google/bigbird-roberta-base": (
            "https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"
        ),
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"
        ),
    },
}

SCREAMING_SNAKE_CASE__					=   {
    "google/bigbird-roberta-base": 4_096,
    "google/bigbird-roberta-large": 4_096,
    "google/bigbird-base-trivia-itc": 4_096,
}


SCREAMING_SNAKE_CASE__					=   "▁"

class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      VOCAB_FILES_NAMES
      _SCREAMING_SNAKE_CASE					=      PRETRAINED_VOCAB_FILES_MAP
      _SCREAMING_SNAKE_CASE					=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _SCREAMING_SNAKE_CASE					=      BigBirdTokenizer
      _SCREAMING_SNAKE_CASE					=      ['input_ids', 'attention_mask']
      _SCREAMING_SNAKE_CASE					=      []





      def __init__(       self      ,						lowercase=None      ,						lowercase=None      ,						lowercase="<unk>"      ,						lowercase="<s>"      ,						lowercase="</s>"      ,						lowercase="<pad>"      ,						lowercase="[SEP]"      ,						lowercase="[MASK]"      ,						lowercase="[CLS]"      ,						**lowercase      ,						)		->     Any:
            lowerCAmelCase  						=       AddedToken(lowercase      ,						lstrip=lowercase      ,						rstrip=lowercase ) if isinstance(lowercase      ,						lowercase ) else bos_token
            lowerCAmelCase  						=       AddedToken(lowercase      ,						lstrip=lowercase      ,						rstrip=lowercase ) if isinstance(lowercase      ,						lowercase ) else eos_token
            lowerCAmelCase  						=       AddedToken(lowercase      ,						lstrip=lowercase      ,						rstrip=lowercase ) if isinstance(lowercase      ,						lowercase ) else unk_token
            lowerCAmelCase  						=       AddedToken(lowercase      ,						lstrip=lowercase      ,						rstrip=lowercase ) if isinstance(lowercase      ,						lowercase ) else pad_token
            lowerCAmelCase  						=       AddedToken(lowercase      ,						lstrip=lowercase      ,						rstrip=lowercase ) if isinstance(lowercase      ,						lowercase ) else cls_token
            lowerCAmelCase  						=       AddedToken(lowercase      ,						lstrip=lowercase      ,						rstrip=lowercase ) if isinstance(lowercase      ,						lowercase ) else sep_token

            # Mask token behave like a normal word, i.e. include the space before it
            lowerCAmelCase  						=       AddedToken(lowercase      ,						lstrip=lowercase      ,						rstrip=lowercase ) if isinstance(lowercase      ,						lowercase ) else mask_token

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

            lowerCAmelCase  						=       vocab_file
            lowerCAmelCase  						=       False if not self.vocab_file else True





      def     _snake_case			(       self      ,						lowercase      ,						lowercase = None )		->     List[int]:
            lowerCAmelCase  						=       [self.sep_token_id]
            lowerCAmelCase  						=       [self.cls_token_id]
            if token_ids_a is None:
                  return cls + token_ids_a + sep
            return cls + token_ids_a + sep + token_ids_a + sep





      def     _snake_case			(       self      ,						lowercase      ,						lowercase = None      ,						lowercase = False )		->     List[int]:

            if already_has_special_tokens:
                  if token_ids_a is not None:
                        raise ValueError(
                            """You should not supply a second sequence if the provided sequence of """
                            """ids is already formatted with special tokens for the model.""" )
                  return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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





      def     _snake_case			(       self      ,						lowercase      ,						lowercase = None )		->     List[int]:
            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 ) * [0] + len(token_ids_a + sep ) * [1]





      def     _snake_case			(       self      ,						lowercase      ,						lowercase = None )		->     Tuple[str]:
            if not self.can_save_slow_tokenizer:
                  raise ValueError(
                      """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                      """tokenizer.""" )

            if not os.path.isdir(lowercase ):
                  logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
                  return
            lowerCAmelCase  						=       os.path.join(
                lowercase      ,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )

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

            return (out_vocab_file,)













"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


SCREAMING_SNAKE_CASE__					=   {}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__					=   ["BartphoTokenizer"]

if TYPE_CHECKING:
       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_bartpho import BartphoTokenizer

else:
       import sys

       SCREAMING_SNAKE_CASE__					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






