
'''simple docstring'''





import math




def 				__magic_name__				(     __lowerCAmelCase			:		Tuple							)    ->     Dict:
				__lowerCamelCase					      =			0
				if n % 2 == 0:
								count += 1
								while n % 2 == 0:
												__lowerCamelCase					      =			int(n / 2							)
    # the n input value must be odd so that
    # we can skip one element (ie i += 2)

				__lowerCamelCase					      =			3

				while i <= int(math.sqrt(lowercase__							)							):
								if n % i == 0:
												count += 1
												while n % i == 0:
																__lowerCamelCase					      =			int(n / i							)
								__lowerCamelCase					      =			i + 2

				# this condition checks the prime
				# number n is greater than 2

				if n > 2:
								count += 1
				return count


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__     :    Optional[int]      							=					51_242_183
					print(F'The number of distinct prime factors is/are {exact_prime_factor_count(n)}')
					print(F'The value of log(log(n)) is {math.log(math.log(n)):.4f}')





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
						]



