
"""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						=			None

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

_A						=			{
    "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						=			{
    "google/bigbird-roberta-base": 4_0_9_6,
    "google/bigbird-roberta-large": 4_0_9_6,
    "google/bigbird-base-trivia-itc": 4_0_9_6,
}


_A						=			"▁"






class 	_lowercase       (    __lowerCAmelCase		):
	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		,			UpperCAmelCase_=None		,			UpperCAmelCase_=None		,			UpperCAmelCase_="<unk>"		,			UpperCAmelCase_="<s>"		,			UpperCAmelCase_="</s>"		,			UpperCAmelCase_="<pad>"		,			UpperCAmelCase_="[SEP]"		,			UpperCAmelCase_="[MASK]"		,			UpperCAmelCase_="[CLS]"		,			**UpperCAmelCase_		,			)		->							Any:
			lowerCamelCase					:      Dict          =   AddedToken(lowerCamelCase__		,			lstrip=lowerCamelCase__		,			rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__		,			lowerCamelCase__ ) else bos_token
			lowerCamelCase					:      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					:      Union[str, Any]          =   AddedToken(lowerCamelCase__		,			lstrip=lowerCamelCase__		,			rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__		,			lowerCamelCase__ ) else pad_token
			lowerCamelCase					:      Optional[int]          =   AddedToken(lowerCamelCase__		,			lstrip=lowerCamelCase__		,			rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__		,			lowerCamelCase__ ) else cls_token
			lowerCamelCase					:      List[str]          =   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					:      List[str]          =   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       _UpperCamelCase   (			self		,			UpperCAmelCase_		,			UpperCAmelCase_ = None )		->							List[int]:
			lowerCamelCase					:      Union[str, Any]          =   [self.sep_token_id]
			lowerCamelCase					:      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       _UpperCamelCase   (			self		,			UpperCAmelCase_		,			UpperCAmelCase_ = None		,			UpperCAmelCase_ = 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       _UpperCamelCase   (			self		,			UpperCAmelCase_		,			UpperCAmelCase_ = None )		->							List[int]:
			lowerCamelCase					:      Any          =   [self.sep_token_id]
			lowerCamelCase					:      Union[str, 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       _UpperCamelCase   (			self		,			UpperCAmelCase_		,			UpperCAmelCase_ = 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					:      List[str]          =   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"""

def 		UpperCAmelCase (		a_ = 10      ):





		'''simple docstring'''


		if not isinstance(a_,						a_      ) or n < 0:
				raise ValueError('Invalid input'      )
		lowerCamelCase					:      Union[str, Any]          =   10**n
		lowerCamelCase					:      int          =   2_8433 * (pow(2,						783_0457,						a_      )) + 1
		return str(number % modulus      )


if __name__ == "__main__":
					from doctest import testmod

					testmod()
					print(F"""{solution(1_0) = }""")






