





'''simple docstring'''





import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
						import jax.numpy as jnp

						from transformers import FlaxXLMRobertaModel

@require_sentencepiece
@require_tokenizers
@require_flax
class 						a   (				unittest.TestCase    ):




				@slow
				def 	__snake_case							(							self	:				Optional[Any]      ):
										snake_case       :     Optional[Any] =    FlaxXLMRobertaModel.from_pretrained('''xlm-roberta-base'''      )
										snake_case       :     List[Any] =    AutoTokenizer.from_pretrained('''xlm-roberta-base'''      )
										snake_case       :     List[str] =    '''The dog is cute and lives in the garden house'''
										snake_case       :     Dict =    jnp.array([tokenizer.encode(SCREAMING_SNAKE_CASE_      )]      )

										snake_case       :     Union[str, Any] =    (1, 12, 7_68)  # batch_size, sequence_length, embedding_vector_dim
										snake_case       :     Any =    jnp.array(
										    [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]]      )

										snake_case       :     Optional[Any] =    model(SCREAMING_SNAKE_CASE_      )['''last_hidden_state''']
										self.assertEqual(output.shape,    SCREAMING_SNAKE_CASE_      )
										# compare the actual values for a slice of last dim
										self.assertTrue(jnp.allclose(output[:, :, -1],    SCREAMING_SNAKE_CASE_,    atol=1e-3      )      )



'''simple docstring'''





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


UpperCAmelCase    					=   logging.get_logger(__name__)

class 						a   (				__magic_name__    ):




				def __init__(							self	:				Union[str, Any],    *SCREAMING_SNAKE_CASE_	:				Tuple,    **SCREAMING_SNAKE_CASE_	:				Tuple      ):
										warnings.warn(
										    '''The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
										    ''' Please use LayoutLMv2ImageProcessor instead.''',    SCREAMING_SNAKE_CASE_,    )
										super().__init__(*SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_      )

