"""simple docstring"""




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


__lowerCAmelCase    :							Dict													=						logging.get_logger(__name__)

__lowerCAmelCase    :							Optional[Any]													=						{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__lowerCAmelCase    :							Optional[Any]													=						{
    "vocab_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt",
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-german-cased": (
            "https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"
        ),
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"
        ),
    },
}

__lowerCAmelCase    :							Dict													=						{
    "distilbert-base-uncased": 5_12,
    "distilbert-base-uncased-distilled-squad": 5_12,
    "distilbert-base-cased": 5_12,
    "distilbert-base-cased-distilled-squad": 5_12,
    "distilbert-base-german-cased": 5_12,
    "distilbert-base-multilingual-cased": 5_12,
}


__lowerCAmelCase    :							Union[str, Any]													=						{
    "distilbert-base-uncased": {"do_lower_case": True},
    "distilbert-base-uncased-distilled-squad": {"do_lower_case": True},
    "distilbert-base-cased": {"do_lower_case": False},
    "distilbert-base-cased-distilled-squad": {"do_lower_case": False},
    "distilbert-base-german-cased": {"do_lower_case": False},
    "distilbert-base-multilingual-cased": {"do_lower_case": False},
}

class       a_      (     __UpperCamelCase			):
					UpperCamelCase_ :	Union[str, Any]			=    VOCAB_FILES_NAMES
					UpperCamelCase_ :	str			=    PRETRAINED_VOCAB_FILES_MAP
					UpperCamelCase_ :	Any			=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCamelCase_ :	List[Any]			=    PRETRAINED_INIT_CONFIGURATION
					UpperCamelCase_ :	Tuple			=    ["input_ids", "attention_mask"]
					UpperCamelCase_ :	int			=    DistilBertTokenizer




					def __init__(	self						:     Optional[int]  ,						snake_case__						:     Dict=None  ,						snake_case__						:     int=None  ,						snake_case__						:     Tuple=True  ,						snake_case__						:     Union[str, Any]="[UNK]"  ,						snake_case__						:     Tuple="[SEP]"  ,						snake_case__						:     List[str]="[PAD]"  ,						snake_case__						:     int="[CLS]"  ,						snake_case__						:     Any="[MASK]"  ,						snake_case__						:     str=True  ,						snake_case__						:     str=None  ,						**snake_case__						:     Tuple  ,						):
							super().__init__(
							    snake_case__  ,						tokenizer_file=snake_case__  ,						do_lower_case=snake_case__  ,						unk_token=snake_case__  ,						sep_token=snake_case__  ,						pad_token=snake_case__  ,						cls_token=snake_case__  ,						mask_token=snake_case__  ,						tokenize_chinese_chars=snake_case__  ,						strip_accents=snake_case__  ,						**snake_case__  ,						)

							lowerCAmelCase__        =   json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
							if (
							    normalizer_state.get("""lowercase"""  ,						snake_case__     ) != do_lower_case
							    or normalizer_state.get("""strip_accents"""  ,						snake_case__     ) != strip_accents
							    or normalizer_state.get("""handle_chinese_chars"""  ,						snake_case__     ) != tokenize_chinese_chars
							):
									lowerCAmelCase__        =   getattr(snake_case__  ,						normalizer_state.pop("""type"""     )     )
									lowerCAmelCase__        =   do_lower_case
									lowerCAmelCase__        =   strip_accents
									lowerCAmelCase__        =   tokenize_chinese_chars
									lowerCAmelCase__        =   normalizer_class(**snake_case__     )

							lowerCAmelCase__        =   do_lower_case




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[Any]  ,						snake_case__						:     Optional[Any]  ,						snake_case__						:     int=None     ):
							lowerCAmelCase__        =   [self.cls_token_id] + token_ids_a + [self.sep_token_id]

							if token_ids_a:
									output += token_ids_a + [self.sep_token_id]

							return output




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[Any]  ,						snake_case__						:     List[int]  ,						snake_case__						:     Optional[List[int]] = None     ):
							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 						_SCREAMING_SNAKE_CASE						(	self						:     Dict  ,						snake_case__						:     str  ,						snake_case__						:     Optional[str] = None     ):
							lowerCAmelCase__        =   self._tokenizer.model.save(snake_case__  ,						name=snake_case__     )
							return tuple(snake_case__     )




"""simple docstring"""




def 							_UpperCAmelCase		(       lowerCamelCase__     ):





		"""simple docstring"""




		assert isinstance(lowerCamelCase__			,  lowerCamelCase__     ), f"""The input value of [n={number}] is not an integer"""

		if number == 1:
				return 2
		elif number < 1:
				lowerCAmelCase__        =   f"""The input value of [n={number}] has to be > 0"""
				raise ValueError(lowerCamelCase__     )
		else:
				lowerCAmelCase__        =   sylvester(number - 1     )
				lowerCAmelCase__        =   num - 1
				lowerCAmelCase__        =   num
				return lower * upper + 1


if __name__ == "__main__":
			print(F"The 8th number in Sylvester's sequence: {sylvester(8)}")




