



"""simple docstring"""






import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
		import torch

		from transformers import CamembertModel

@require_torch
@require_sentencepiece
@require_tokenizers
class 			__SCREAMING_SNAKE_CASE      ( unittest.TestCase  ):


					'''simple docstring'''





					@slow
					def 						snake_case			(			self				:    Union[str, Any]	)->   str:
								lowerCamelCase__						:						Any						      =CamembertModel.from_pretrained('''camembert-base'''	)
								model.to(lowerCamelCase	)

								lowerCamelCase__						:						Tuple						      =torch.tensor(
								    [[5, 121, 11, 660, 16, 730, 2_5543, 110, 83, 6]],    device=lowerCamelCase,    dtype=torch.long,    )  # J'aime le camembert !
								with torch.no_grad():
											lowerCamelCase__						:						Union[str, Any]						      =model(lowerCamelCase	)['''last_hidden_state''']
								lowerCamelCase__						:						int						      =torch.Size((1, 10, 768)	)
								self.assertEqual(output.shape,    lowerCamelCase	)
								# compare the actual values for a slice.
								lowerCamelCase__						:						List[str]						      =torch.tensor(
								    [[[-0.0_254, 0.0_235, 0.1_027], [0.0_606, -0.1_811, -0.0_418], [-0.1_561, -0.1_127, 0.2_687]]],    device=lowerCamelCase,    dtype=torch.float,    )
								# camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
								# camembert.eval()
								# expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

								self.assertTrue(torch.allclose(output[:, :3, :3],    lowerCamelCase,    atol=1E-4	)	)





'''simple docstring'''
import math







def 				__UpperCamelCase (					__UpperCAmelCase  :					str			)							->	Optional[int]:
  lowercase				:							Tuple									=   0
  if n % 2 == 0:
    count += 1
    while n % 2 == 0:
      lowercase				:							Optional[int]									=   int(n / 2			)
    # the n input value must be odd so that
    # we can skip one element (ie i += 2)

  lowercase				:							Dict									=   3

  while i <= int(math.sqrt(__UpperCAmelCase			)			):
    if n % i == 0:
      count += 1
      while n % i == 0:
        lowercase				:							Dict									=   int(n / i			)
    lowercase				:							List[Any]									=   i + 2

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

  if n > 2:
    count += 1
  return count


if __name__ == "__main__":
 _A		:      List[Any]						   =5_1_2_4_2_1_8_3
 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}""")