




'''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_squeezebert import SqueezeBertTokenizer


A_			      =		logging.get_logger(__name__)

A_			      =		{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

A_			      =		{
    "vocab_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"
        ),
        "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt",
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli": (
            "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"
        ),
    },
}

A_			      =		{
    "squeezebert/squeezebert-uncased": 512,
    "squeezebert/squeezebert-mnli": 512,
    "squeezebert/squeezebert-mnli-headless": 512,
}


A_			      =		{
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}






class        lowercase_      (						lowerCAmelCase_							):
     A_											=			VOCAB_FILES_NAMES
     A_											=			PRETRAINED_VOCAB_FILES_MAP
     A_											=			PRETRAINED_INIT_CONFIGURATION
     A_											=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A_											=			SqueezeBertTokenizer





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

           snake_case__       :   Dict	      =    json.loads(self.backend_tokenizer.normalizer.__getstate__()			)
           if (
               normalizer_state.get('lowercase'     ,							__lowerCamelCase			) != do_lower_case
               or normalizer_state.get('strip_accents'     ,							__lowerCamelCase			) != strip_accents
               or normalizer_state.get('handle_chinese_chars'     ,							__lowerCamelCase			) != tokenize_chinese_chars
           ):
                 snake_case__       :   List[Any]	      =    getattr(__lowerCamelCase     ,							normalizer_state.pop('type'			)			)
                 snake_case__       :   Any	      =    do_lower_case
                 snake_case__       :   Tuple	      =    strip_accents
                 snake_case__       :   Any	      =    tokenize_chinese_chars
                 snake_case__       :   List[Any]	      =    normalizer_class(**__lowerCamelCase			)

           snake_case__       :   int	      =    do_lower_case





     def 			_lowerCAmelCase      (     self     :					Optional[int]     ,							__lowerCamelCase     :					Dict     ,							__lowerCamelCase     :					Dict=None			):
           snake_case__       :   int	      =    [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 			_lowerCAmelCase      (     self     :					Tuple     ,							__lowerCamelCase     :					List[int]     ,							__lowerCamelCase     :					Optional[List[int]] = None			):
           snake_case__       :   Dict	      =    [self.sep_token_id]
           snake_case__       :   List[str]	      =    [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 			_lowerCAmelCase      (     self     :					Union[str, Any]     ,							__lowerCamelCase     :					str     ,							__lowerCamelCase     :					Optional[str] = None			):
           snake_case__       :   Any	      =    self._tokenizer.model.save(__lowerCamelCase     ,							name=__lowerCamelCase			)
           return tuple(__lowerCamelCase			)






'''simple docstring'''






from math import pi






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		)    ->   float:
      return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
      print(arc_length(90, 10))
