





'''simple docstring'''

from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
   import numpy as np
   import tensorflow as tf

   from transformers import TFCamembertModel
@require_tf
@require_sentencepiece
@require_tokenizers
class     __lowerCAmelCase					(   unittest.TestCase			):






       """simple docstring"""





       @slow
       def snake_case__						(							self       :		Optional[Any]					)   ->					Optional[Any]:

            '''simple docstring'''




            _UpperCamelCase       =	TFCamembertModel.from_pretrained('''jplu/tf-camembert-base'''					)

            _UpperCamelCase       =	tf.convert_to_tensor(
                [[5, 121, 11, 660, 16, 730, 25543, 110, 83, 6]]	,			dtype=tf.intaa	,			)  # J'aime le camembert !"

            _UpperCamelCase       =	model(lowerCAmelCase__					)['''last_hidden_state''']
            _UpperCamelCase       =	tf.TensorShape((1, 10, 768)					)
            self.assertEqual(output.shape	,			lowerCAmelCase__					)
            # compare the actual values for a slice.
            _UpperCamelCase       =	tf.convert_to_tensor(
                [[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]]	,			dtype=tf.floataa	,			)
            # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
            # camembert.eval()
            # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

            self.assertTrue(np.allclose(output[:, :3, :3].numpy()	,			expected_slice.numpy()	,			atol=1e-4					)					)










'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


lowercase__						:      Optional[Any]	=    logging.get_logger(__name__)
class     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""





       def __init__(							self       :		List[Any]	,			*lowerCAmelCase__       :		List[str]	,			**lowerCAmelCase__       :		List[str]					)   ->					None:

            '''simple docstring'''




            warnings.warn(
                '''The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
                ''' use OwlViTImageProcessor instead.'''	,			lowerCAmelCase__	,			)
            super().__init__(*lowerCAmelCase__	,			**lowerCAmelCase__					)



