

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 							__UpperCamelCase	(     self							:	int		)							->    Any:

    """simple docstring"""

    SCREAMING_SNAKE_CASE				: Optional[int]			       =    CamembertModel.from_pretrained("camembert-base"		)
    model.to(a		)

    SCREAMING_SNAKE_CASE				: int			       =    torch.tensor(
        [[5, 121, 11, 660, 16, 730, 2_5543, 110, 83, 6]] , device=a , dtype=torch.long , )  # J'aime le camembert !
    with torch.no_grad():
     SCREAMING_SNAKE_CASE				: int			       =    model(a		)["last_hidden_state"]
    SCREAMING_SNAKE_CASE				: Tuple			       =    torch.Size((1, 10, 768)		)
    self.assertEqual(output.shape , a		)
    # compare the actual values for a slice.
    SCREAMING_SNAKE_CASE				: Union[str, Any]			       =    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		)		)


from __future__ import annotations

from typing import Any






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(     self							:	Dict , a							:	Any , a							:	Any		)							->    None:  # noqa: A002

				"""simple docstring"""

				SCREAMING_SNAKE_CASE				: str			       =    item
				SCREAMING_SNAKE_CASE				: List[Any]			       =    next






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(     self							:	Optional[int]		)							->    None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE				: Node | None			       =    None
				SCREAMING_SNAKE_CASE				: List[Any]			       =    0
			def 							__UpperCamelCase	(     self							:	Union[str, Any] , a							:	Any		)							->    None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE				: Any			       =    Node(a , self.head		)
				self.size += 1
			def 							__UpperCamelCase	(     self							:	Dict		)							->    Any:

				"""simple docstring"""

				if self.head is None:
					return None
				else:
					SCREAMING_SNAKE_CASE				: Optional[int]			       =    self.head.item
					SCREAMING_SNAKE_CASE				: Dict			       =    self.head.next
					self.size -= 1
					return item
			def 							__UpperCamelCase	(     self							:	Any		)							->    bool:

				"""simple docstring"""

				return self.head is None
			def __str__(     self							:	Union[str, Any]		)							->    str:

				"""simple docstring"""

				if self.is_empty():
					return ""
				else:
					SCREAMING_SNAKE_CASE				: Union[str, Any]			       =    self.head
					SCREAMING_SNAKE_CASE				: str			       =    ""
					SCREAMING_SNAKE_CASE				: list[str]			       =    []
					while iterate:
						item_list.append(str(iterate.item		)		)
						SCREAMING_SNAKE_CASE				: str			       =    iterate.next

					SCREAMING_SNAKE_CASE				: List[str]			       =    " --> ".join(a		)

					return item_str






			def __len__(     self							:	List[Any]		)							->    int:

				"""simple docstring"""

				return self.size