
'''simple docstring'''





def 				__magic_name__				(     __lowerCAmelCase			:		str	,						__lowerCAmelCase			:		List[Any]							)    ->     Dict:
				sequence.append(__lowerCAmelCase							)

				__lowerCamelCase					      =			0
				while sequence[index] != target:
								index += 1

				sequence.pop()

				if index == len(__lowerCAmelCase							):
								return None

				return index


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__     :    Tuple      							=					input("Enter numbers separated by comma:\n").strip()
					SCREAMING_SNAKE_CASE__     :    Tuple      							=					[int(item) for item in user_input.split(",")]

					SCREAMING_SNAKE_CASE__     :    Tuple      							=					input("Enter a single number to be found in the list:\n")
					SCREAMING_SNAKE_CASE__     :    int      							=					int(target_input)
					SCREAMING_SNAKE_CASE__     :    int      							=					sentinel_linear_search(sequence, target)
					if result is not None:
										print(F'{target} found at positions: {result}')
					else:
										print("Not found")





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

from ..bert.test_tokenization_bert import BertTokenizationTest

@require_tokenizers
class      lowerCAmelCase__  (			__lowercase    ):
		a__ :		Any   						=	SqueezeBertTokenizer
		a__ :		Union[str, Any]   						=	SqueezeBertTokenizerFast
		a__ :		int   						=	True






		def 				__A (	self	:							Optional[int]							,    **SCREAMING_SNAKE_CASE__	:							Union[str, Any]						)  ->							int:
						return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname							,    **SCREAMING_SNAKE_CASE__						)







		@slow
		def 				__A (	self	:							int						)  ->							Optional[int]:
						__lowerCamelCase					      =			SqueezeBertTokenizer.from_pretrained('''squeezebert/squeezebert-mnli-headless'''						)

						__lowerCamelCase					      =			tokenizer.encode('''sequence builders'''							,    add_special_tokens=SCREAMING_SNAKE_CASE__						)
						__lowerCamelCase					      =			tokenizer.encode('''multi-sequence build'''							,    add_special_tokens=SCREAMING_SNAKE_CASE__						)

						__lowerCamelCase					      =			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__						)
						__lowerCamelCase					      =			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__						)

						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
						]



