


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   lowerCamelCase_					(						self							:		List[Any]						):







						"""simple docstring"""







						UpperCamelCase         =					TFXLMRobertaModel.from_pretrained("""jplu/tf-xlm-roberta-base"""						)

						UpperCamelCase         =					{
						    """input_ids""": tf.convert_to_tensor([[0, 2_6_4_6, 1_0_2_6_9, 8_3, 9_9_9_4_2, 2]]       ,       dtype=tf.intaa						),  # "My dog is cute"
						    """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]       ,       dtype=tf.intaa						),
						}

						UpperCamelCase         =					model(__magic_name__						)["""last_hidden_state"""]
						UpperCamelCase         =					tf.TensorShape((1, 6, 7_6_8)						)
						self.assertEqual(output.shape       ,       __magic_name__						)
						# compare the actual values for a slice.
						UpperCamelCase         =					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						)						)








import math






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int = 100	):





			"""simple docstring"""




			UpperCamelCase         =					sum(i * i for i in range(1       ,  n + 1	)	)
			UpperCamelCase         =					int(math.pow(sum(range(1       ,  n + 1	)	)       ,  2	)	)
			return square_of_sum - sum_of_squares


if __name__ == "__main__":
			print(F'''{solution() = }''')




