'''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 	__UpperCAmelCase				(				unittest.TestCase     ):





       '''simple docstring'''



       @slow
       def 					__A       (      self )		->     Any:
           A_     =   CamembertModel.from_pretrained('''camembert-base''' )
           model.to(_SCREAMING_SNAKE_CASE )

           A_     =   torch.tensor(
               [[5, 121, 11, 660, 16, 730, 2_5543, 110, 83, 6]]    ,     device=_SCREAMING_SNAKE_CASE    ,     dtype=torch.long    ,     )  # J'aime le camembert !
           with torch.no_grad():
               A_     =   model(_SCREAMING_SNAKE_CASE )['''last_hidden_state''']
           A_     =   torch.Size((1, 10, 768) )
           self.assertEqual(output.shape    ,     _SCREAMING_SNAKE_CASE )
           # compare the actual values for a slice.
           A_     =   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=_SCREAMING_SNAKE_CASE    ,     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]    ,     _SCREAMING_SNAKE_CASE    ,     atol=1E-4 ) )








"""simple docstring"""


def     _lowerCamelCase(__UpperCamelCase       )				-> list:
	_lowerCAmelCase								=[True for i in range(n + 1       )]
	_lowerCAmelCase								=[i - 1 for i in range(n + 1       )]
	_lowerCAmelCase								=[]
	for i in range(2    , n + 1       ):
		if is_prime[i]:
			primes.append(__UpperCamelCase       )
		for j in range(0    , len(__UpperCamelCase       )       ):
			if i * primes[j] >= n:
				break
			_lowerCAmelCase								=False

			if i % primes[j] == 0:
				_lowerCAmelCase								=totients[i] * primes[j]
				break

			_lowerCAmelCase								=totients[i] * (primes[j] - 1)

	return totients


if __name__ == "__main__":
			import doctest

			doctest.testmod()



