


'''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:
  __A					:  str											=      None

__A					:  Union[str, Any]											=      logging.get_logger(__name__)
__A					:  int											=      {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__A					:  Union[str, Any]											=      {
    "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"
        ),
    },
}

__A					:  Optional[int]											=      {
    "google/bigbird-roberta-base": 4096,
    "google/bigbird-roberta-large": 4096,
    "google/bigbird-base-trivia-itc": 4096,
}


__A					:  List[str]											=      "▁"






class    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase    =					VOCAB_FILES_NAMES
    lowercase    =					PRETRAINED_VOCAB_FILES_MAP
    lowercase    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase    =					BigBirdTokenizer
    lowercase    =					['input_ids', 'attention_mask']
    lowercase    =					[]

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

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

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

      lowerCAmelCase_			:      Optional[Any]			=   vocab_file
      lowerCAmelCase_			:      Tuple			=   False if not self.vocab_file else True

    def __lowercase   (   self    :  str    ,						lowerCamelCase    :  List[int]    ,						lowerCamelCase    :  Optional[List[int]] = None		)   ->  List[int]:
      lowerCAmelCase_			:      Tuple			=   [self.sep_token_id]
      lowerCAmelCase_			:      Union[str, 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 __lowercase   (   self    :  List[Any]    ,						lowerCamelCase    :  List[int]    ,						lowerCamelCase    :  Optional[List[int]] = None    ,						lowerCamelCase    :  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(lowerCamelCase		)) + [1]
      return [1] + ([0] * len(lowerCamelCase		)) + [1] + ([0] * len(lowerCamelCase		)) + [1]

    def __lowercase   (   self    :  Union[str, Any]    ,						lowerCamelCase    :  List[int]    ,						lowerCamelCase    :  Optional[List[int]] = None		)   ->  List[int]:
      lowerCAmelCase_			:      Optional[Any]			=   [self.sep_token_id]
      lowerCAmelCase_			:      Any			=   [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 __lowercase   (   self    :  Tuple    ,						lowerCamelCase    :  str    ,						lowerCamelCase    :  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(lowerCamelCase		):
        logger.error(F'Vocabulary path ({save_directory}) should be a directory'		)
        return
      lowerCAmelCase_			:      Optional[int]			=   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		):
        copyfile(self.vocab_file    ,						lowerCamelCase		)

      return (out_vocab_file,)







'''simple docstring'''






from math import ceil







def 				UpperCamelCase_			(    A__					:   int = 10_01					):
  '''simple docstring'''





  lowerCAmelCase_			:      List[Any]			=   1

  for i in range(1							,    int(ceil(n / 2.0					)					)					):
    lowerCAmelCase_			:      int			=   2 * i + 1
    lowerCAmelCase_			:      Tuple			=   2 * i
    lowerCAmelCase_			:      Tuple			=   total + 4 * odd**2 - 6 * even

  return total


if __name__ == "__main__":
  import sys

  if len(sys.argv) == 1:
    print(solution())
  else:
    try:
      __A					:  str											=      int(sys.argv[1])
      print(solution(n))
    except ValueError:
      print("Invalid entry - please enter a number")



