





"""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 TFXLMRobertaModel


@require_tf
@require_sentencepiece
@require_tokenizers
class  __UpperCamelCase       (		unittest.TestCase		):






							@slow
							def 					__a     (     self   )			->				Dict:
								a   :	Tuple			=       TFXLMRobertaModel.from_pretrained("jplu/tf-xlm-roberta-base"   )

								a   :	Any			=       {
								    "input_ids": tf.convert_to_tensor([[0, 2646, 1_0269, 83, 9_9942, 2]]   ,      dtype=tf.intaa   ),  # "My dog is cute"
								    "attention_mask": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]   ,      dtype=tf.intaa   ),
								}

								a   :	str			=       model(lowerCAmelCase__   )["last_hidden_state"]
								a   :	Optional[int]			=       tf.TensorShape((1, 6, 768)   )
								self.assertEqual(output.shape   ,      lowerCAmelCase__   )
								# compare the actual values for a slice.
								a   :	List[str]			=       tf.convert_to_tensor(
								    [
								        [
								            [0.0_681_762, 0.10_894_451, 0.06_772_504],
								            [-0.06_423_668, 0.02_366_615, 0.04_329_344],
								            [-0.06_057_295, 0.09_974_135, -0.00_070_584],
								        ]
								    ]   ,      dtype=tf.floataa   ,      )

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









"""simple docstring"""




import baseaa






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					str      )				->bytes:






	'''simple docstring'''






	return baseaa.aaaencode(string.encode("utf-8"      )      )






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					bytes      )				->str:






	'''simple docstring'''






	return baseaa.aaadecode(_lowercase      ).decode("utf-8"      )


if __name__ == "__main__":
		import doctest

		doctest.testmod()


