






import math






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return math.sqrt(lowerCamelCase_       ) * math.sqrt(lowerCamelCase_       ) == num






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    0
				lowercase__     				=    n
				while left <= right:
								lowercase__     				=    (left + right) // 2
								if mid**2 == n:
												return True
								elif mid**2 > n:
												lowercase__     				=    mid - 1
								else:
												lowercase__     				=    mid + 1
				return False


if __name__ == "__main__":
							import doctest

							doctest.testmod()












from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest
@require_tokenizers
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				lowercase__       							= DistilBertTokenizer
				lowercase__       							= DistilBertTokenizerFast
				lowercase__       							= True




				@slow
				def        lowercase__     (  self		:					str						):

								'''simple docstring'''
								lowercase__     				=    DistilBertTokenizer.from_pretrained('''distilbert-base-uncased'''						)

								lowercase__     				=    tokenizer.encode('''sequence builders''',						add_special_tokens=lowerCamelCase						)
								lowercase__     				=    tokenizer.encode('''multi-sequence build''',						add_special_tokens=lowerCamelCase						)

								lowercase__     				=    tokenizer.build_inputs_with_special_tokens(lowerCamelCase						)
								lowercase__     				=    tokenizer.build_inputs_with_special_tokens(lowerCamelCase,						lowerCamelCase						)

								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
								]




