




'''simple docstring'''







import math


class    __a :

							def __init__(							self							:       Tuple    ,       __magic_name__							:       str    ,       __magic_name__							:       int    ,       __magic_name__							:       Optional[int]				)   ->    Tuple:







													"""simple docstring"""
													UpperCAmelCase_     : List[Any]         =					x
													UpperCAmelCase_     : int         =					y
													UpperCAmelCase_     : Any         =					z



							def __repr__(							self							:       Union[str, Any]				)   ->    Dict:







													"""simple docstring"""
													return F"""Point({self.x}, {self.y}, {self.z})"""





def     lowerCamelCase_ (					SCREAMING_SNAKE_CASE__ :     Dict,     SCREAMING_SNAKE_CASE__ :     Optional[Any]				)	->		str:
						return math.sqrt(abs((b.x - a.x) ** 2 + (b.y - a.y) ** 2 + (b.z - a.z) ** 2				)				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()












'''simple docstring'''







from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest


@require_tokenizers
class    __a (lowerCamelCase       ):
							__a   :				Any       =    SqueezeBertTokenizer
							__a   :				Dict       =    SqueezeBertTokenizerFast
							__a   :				Any       =    True

							def       UpperCAmelCase__		(							self							:       Union[str, Any]    ,       **__magic_name__							:       Dict				)   ->    int:







													"""simple docstring"""
													return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname    ,       **__magic_name__				)



							@slow
							def       UpperCAmelCase__		(							self							:       Union[str, Any]				)   ->    int:







													"""simple docstring"""
													UpperCAmelCase_     : List[str]         =					SqueezeBertTokenizer.from_pretrained('''squeezebert/squeezebert-mnli-headless'''				)

													UpperCAmelCase_     : Any         =					tokenizer.encode('''sequence builders'''    ,       add_special_tokens=__magic_name__				)
													UpperCAmelCase_     : Optional[Any]         =					tokenizer.encode('''multi-sequence build'''    ,       add_special_tokens=__magic_name__				)

													UpperCAmelCase_     : List[Any]         =					tokenizer.build_inputs_with_special_tokens(__magic_name__				)
													UpperCAmelCase_     : Any         =					tokenizer.build_inputs_with_special_tokens(__magic_name__    ,       __magic_name__				)

													assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
													assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
													    tokenizer.sep_token_id
													]





