




'''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   _snake_case( unittest.TestCase			):






 @slow
 def 	_UpperCamelCase   (self					:     Union[str, Any]						)					->      Optional[int]:






    """simple docstring"""


    A__         =    CamembertModel.from_pretrained('camembert-base'						)
    model.to(a						)

    A__         =    torch.tensor(
        [[5, 1_21, 11, 6_60, 16, 7_30, 2_55_43, 1_10, 83, 6]]						,		device=a						,		dtype=torch.long						,		)  # J'aime le camembert !
    with torch.no_grad():
       A__         =    model(a						)['last_hidden_state']
    A__         =    torch.Size((1, 10, 7_68)						)
    self.assertEqual(output.shape						,		a						)
    # compare the actual values for a slice.
    A__         =    torch.tensor(
        [[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]]						,		device=a						,		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]						,		a						,		atol=1e-4						)						)








'''simple docstring'''







def 	_A			(   UpperCAmelCase	):






   '''simple docstring'''







   if not isinstance(UpperCAmelCase			,UpperCAmelCase	) or not all(
       isinstance(UpperCAmelCase			,UpperCAmelCase	) and item >= 0 for item in citations	):
      raise ValueError('The citations should be a list of non negative integers.'	)

   citations.sort()
   A__         =    len(UpperCAmelCase	)

   for i in range(UpperCAmelCase	):
      if citations[len_citations - 1 - i] <= i:
         return i

   return len_citations


if __name__ == "__main__":
    import doctest

    doctest.testmod()


