



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 				a_    (						unittest.TestCase							):

						@slow
						def       __a			(       self      :Optional[int])						->   str:
												UpperCAmelCase_					=	CamembertModel.from_pretrained('''camembert-base''')
												model.to(snake_case__)

												UpperCAmelCase_					=	torch.tensor(
												    [[5, 121, 11, 660, 16, 730, 25543, 110, 83, 6]]  ,		device=snake_case__  ,		dtype=torch.long  ,		)  # J'aime le camembert !
												with torch.no_grad():
																		UpperCAmelCase_					=	model(snake_case__)['''last_hidden_state''']
												UpperCAmelCase_					=	torch.Size((1, 10, 768))
												self.assertEqual(output.shape  ,		snake_case__)
												# compare the actual values for a slice.
												UpperCAmelCase_					=	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=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]  ,		snake_case__  ,		atol=1E-4))













import math
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    _lowercase     			=						math.log(2,   10   ) * number
    _lowercase     			=						round((log_number - int(_lowercase   )),   15   )

    return difference
def 							UpperCAmelCase   ( _lowercase = 678910   ):


    '''simple docstring'''



    _lowercase     			=						90
    _lowercase     			=						0

    _lowercase     			=						math.log(1.23,   10   )
    _lowercase     			=						math.log(1.24,   10   )
    _lowercase     			=						0

    while position < number:
        _lowercase     			=						log_difference(_lowercase   )

        if difference >= upper_limit:
            power_iterator += 93

        elif difference < lower_limit:
            power_iterator += 196

        else:
            _lowercase     			=						power_iterator
            power_iterator += 196
            position += 1

    return previous_power


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   print(f"{solution() = }")
