





"""simple docstring"""
import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class  _UpperCAmelCase       (     lowercase_					,							unittest.TestCase			):
					UpperCamelCase								=							MPNetTokenizer
					UpperCamelCase								=							MPNetTokenizerFast
					UpperCamelCase								=							True
					UpperCamelCase								=							True


					def      lowerCamelCase	( self      :Optional[int]		):
												super().setUp()

												A		=  [
												    "[UNK]",
												    "[CLS]",
												    "[SEP]",
												    "[PAD]",
												    "[MASK]",
												    "want",
												    "##want",
												    "##ed",
												    "wa",
												    "un",
												    "runn",
												    "##ing",
												    ",",
												    "low",
												    "lowest",
												]
												A		=  os.path.join(self.tmpdirname					,	VOCAB_FILES_NAMES["vocab_file"]		)
												with open(self.vocab_file					,	"w"					,	encoding="utf-8"		) as vocab_writer:
																			vocab_writer.write("".join([x + "\n" for x in vocab_tokens]		)		)


					def      lowerCamelCase	( self      :Optional[Any]					,	__UpperCamelCase      :List[str]		):
												A		=  "UNwant\u00E9d,running"
												A		=  "unwanted, running"
												return input_text, output_text


					def      lowerCamelCase	( self      :Dict		):
												A		=  self.tokenizer_class(self.vocab_file		)

												A		=  tokenizer.tokenize("UNwant\u00E9d,running"		)
												self.assertListEqual(__UpperCamelCase					,	["un", "##want", "##ed", ",", "runn", "##ing"]		)
												self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase		)					,	[9, 6, 7, 12, 10, 11]		)


					@slow
					def      lowerCamelCase	( self      :List[str]		):
												A		=  self.tokenizer_class.from_pretrained("microsoft/mpnet-base"		)

												A		=  tokenizer.encode("sequence builders"					,	add_special_tokens=__UpperCamelCase		)
												A		=  tokenizer.encode("multi-sequence build"					,	add_special_tokens=__UpperCamelCase		)

												A		=  tokenizer.build_inputs_with_special_tokens(__UpperCamelCase		)
												A		=  tokenizer.build_inputs_with_special_tokens(__UpperCamelCase					,	__UpperCamelCase		)

												assert encoded_sentence == [0] + text + [2]
												assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]









"""simple docstring"""
def  A__    (      UpperCamelCase ,  UpperCamelCase	):
							for index, item in enumerate(UpperCamelCase	):
														if item == target:
																					return index
							return -1






def  A__    (      UpperCamelCase ,  UpperCamelCase ,  UpperCamelCase ,  UpperCamelCase	):
							if not (0 <= high < len(UpperCamelCase	) and 0 <= low < len(UpperCamelCase	)):
														raise Exception("Invalid upper or lower bound!"	)
							if high < low:
														return -1
							if sequence[low] == target:
														return low
							if sequence[high] == target:
														return high
							return rec_linear_search(UpperCamelCase ,  low + 1 ,  high - 1 ,  UpperCamelCase	)


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

		_snake_case					:		Union[str, Any]							=			int(input('Enter a single number to be found in the list:\n').strip())
		_snake_case					:		List[Any]							=			linear_search(sequence, target)
		if result != -1:
				print(F"""linear_search({sequence}, {target}) = {result}""")
		else:
				print(F"""{target} was not found in {sequence}""")


