



"""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 							lowerCamelCase    (     unittest.TestCase							):






					'''simple docstring'''





					@slow
					def   lowerCAmelCase_							(			self:				int		)  ->      int:
											snake_case_					:List[Any]		=     CamembertModel.from_pretrained("""camembert-base"""		)
											model.to(snake_case		)

											snake_case_					:Optional[int]		=     torch.tensor(
											    [[5, 121, 11, 660, 16, 730, 25_543, 110, 83, 6]]		,	device=snake_case		,	dtype=torch.long		,	)  # J'aime le camembert !
											with torch.no_grad():
																	snake_case_					:Any		=     model(snake_case		)["""last_hidden_state"""]
											snake_case_					:Union[str, Any]		=     torch.Size((1, 10, 768)		)
											self.assertEqual(output.shape		,	snake_case		)
											# compare the actual values for a slice.
											snake_case_					:str		=     torch.tensor(
											    [[[-0.0_2_5_4, 0.0_2_3_5, 0.1_0_2_7], [0.0_6_0_6, -0.1_8_1_1, -0.0_4_1_8], [-0.1_5_6_1, -0.1_1_2_7, 0.2_6_8_7]]]		,	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		)		)





"""simple docstring"""
def   A_    (     _lowercase,   _lowercase,   _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Dict		=     int((lower_bound + upper_bound) // 2      )
						if array[r] == value:
												return r
						if lower_bound >= upper_bound:
												return -1
						if array[r] < value:
												return binary_search(_lowercase,   r + 1,   _lowercase,   _lowercase      )
						else:
												return binary_search(_lowercase,   _lowercase,   r - 1,   _lowercase      )
def   A_    (     _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Any		=     0
						if matrix[index][0] == value:
												return [index, 0]
						while index < len(_lowercase      ) and matrix[index][0] < value:
												snake_case_					:List[str]		=     binary_search(matrix[index],   0,   len(matrix[index]      ) - 1,   _lowercase      )
												if r != -1:
																		return [index, r]
												index += 1
						return [-1, -1]


if __name__ == "__main__":
						import doctest

						doctest.testmod()
