





"""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:
  lowerCamelCase__						= None

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

lowerCamelCase__						= {
    "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"
        ),
    },
}

lowerCamelCase__						= {
    "google/bigbird-roberta-base": 4096,
    "google/bigbird-roberta-large": 4096,
    "google/bigbird-base-trivia-itc": 4096,
}


lowerCamelCase__						= "▁"



class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:int						  =       VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__				:Dict						  =       PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__				:str						  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__				:List[str]						  =       BigBirdTokenizer
  SCREAMING_SNAKE_CASE__				:Tuple						  =       ["input_ids", "attention_mask"]
  SCREAMING_SNAKE_CASE__				:List[int]						  =       []

  def __init__(		self :							List[str]       , __a :							List[Any]=None       , __a :							int=None       , __a :							int="<unk>"       , __a :							List[Any]="<s>"       , __a :							List[Any]="</s>"       , __a :							Any="<pad>"       , __a :							Optional[Any]="[SEP]"       , __a :							str="[MASK]"       , __a :							Union[str, Any]="[CLS]"       , **__a :							str       , )		->					Tuple:
        _UpperCamelCase   :						Union[str, Any]    =							AddedToken(__a       , lstrip=__a       , rstrip=__a						) if isinstance(__a       , __a						) else bos_token
        _UpperCamelCase   :						Union[str, Any]    =							AddedToken(__a       , lstrip=__a       , rstrip=__a						) if isinstance(__a       , __a						) else eos_token
        _UpperCamelCase   :						List[str]    =							AddedToken(__a       , lstrip=__a       , rstrip=__a						) if isinstance(__a       , __a						) else unk_token
        _UpperCamelCase   :						int    =							AddedToken(__a       , lstrip=__a       , rstrip=__a						) if isinstance(__a       , __a						) else pad_token
        _UpperCamelCase   :						Dict    =							AddedToken(__a       , lstrip=__a       , rstrip=__a						) if isinstance(__a       , __a						) else cls_token
        _UpperCamelCase   :						List[Any]    =							AddedToken(__a       , lstrip=__a       , rstrip=__a						) if isinstance(__a       , __a						) else sep_token

        # Mask token behave like a normal word, i.e. include the space before it
        _UpperCamelCase   :						Optional[int]    =							AddedToken(__a       , lstrip=__a       , rstrip=__a						) if isinstance(__a       , __a						) else mask_token

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

        _UpperCamelCase   :						int    =							vocab_file
        _UpperCamelCase   :						Tuple    =							False if not self.vocab_file else True

  def  __SCREAMING_SNAKE_CASE					(		self :							int       , __a :							List[int]       , __a :							Optional[List[int]] = None						)		->					List[int]:
        _UpperCamelCase   :						Dict    =							[self.sep_token_id]
        _UpperCamelCase   :						Optional[Any]    =							[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  __SCREAMING_SNAKE_CASE					(		self :							Tuple       , __a :							List[int]       , __a :							Optional[List[int]] = None       , __a :							bool = 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(__a						)) + [1]
        return [1] + ([0] * len(__a						)) + [1] + ([0] * len(__a						)) + [1]

  def  __SCREAMING_SNAKE_CASE					(		self :							str       , __a :							List[int]       , __a :							Optional[List[int]] = None						)		->					List[int]:
        _UpperCamelCase   :						List[Any]    =							[self.sep_token_id]
        _UpperCamelCase   :						Dict    =							[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  __SCREAMING_SNAKE_CASE					(		self :							List[Any]       , __a :							str       , __a :							Optional[str] = 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(__a						):
              logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''						)
              return
        _UpperCamelCase   :						Optional[int]    =							os.path.join(
            __a       , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

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

        return (out_vocab_file,)







"""simple docstring"""


import re




def        lowercase__     (       lowercase_      )       ->		bool:




      """simple docstring"""

      _UpperCamelCase   :						List[Any]    =							re.compile(
          r"^(?:0|94|\+94|0{2}94)" r"7(0|1|2|4|5|6|7|8)" r"(-| |)" r"\d{7}$"      )

      return bool(re.search(lowercase_		,lowercase_      )      )


if __name__ == "__main__":
  lowerCamelCase__						= "0094702343221"

  print(is_sri_lankan_phone_number(phone))
