



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 				_A			(	self       ):



				'''simple docstring'''


				a__					=  CamembertModel.from_pretrained("""camembert-base"""       )
				model.to(lowerCamelCase       )

				a__					=  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():
							a__					=  model(lowerCamelCase       )["""last_hidden_state"""]
				a__					=  torch.Size((1, 10, 768)       )
				self.assertEqual(output.shape   ,       lowerCamelCase       )
				# compare the actual values for a slice.
				a__					=  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=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       )       )






class lowerCAmelCase_       :







	'''simple docstring'''




	def __init__(	self   ,       lowerCamelCase=None       ):



				'''simple docstring'''


				a__					=  data
				a__					=  None







	def __repr__(	self       ):



				'''simple docstring'''


				a__					=  """"""
				a__					=  self
				while temp:
							string_rep += f'<{temp.data}> ---> '
							a__					=  temp.next
				string_rep += "<END>"
				return string_rep




def    UpperCAmelCase					(  lowercase__						:					Optional[int]	):



			'''simple docstring'''





			if not elements_list:
						raise Exception("""The Elements List is empty"""	)

			# Set first element as Head
			a__					=  Node(elements_list[0]	)
			a__					=  head
			# Loop through elements from position 1
			for data in elements_list[1:]:
						a__					=  Node(lowercase__	)
						a__					=  current.next
			return head


_lowercase				:					List[Any]     					=[1, 3, 5, 32, 44, 12, 43]
print(f'''List: {list_data}''')
print("""Creating Linked List from List.""")
_lowercase				:					Dict     					=make_linked_list(list_data)
print("""Linked List:""")





print(linked_list)

