


'''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    lowercase	(							unittest.TestCase					):

		"""simple docstring"""

		@slow
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :List[str]												= TFXLMRobertaModel.from_pretrained('''jplu/tf-xlm-roberta-base'''							)

							UpperCamelCase__   :int												= {
							    '''input_ids''': tf.convert_to_tensor([[0, 2646, 10269, 83, 99942, 2]]    ,   dtype=tf.intaa							),  # "My dog is cute"
							    '''attention_mask''': tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]    ,   dtype=tf.intaa							),
							}

							UpperCamelCase__   :Any												= model(UpperCamelCase_							)['''last_hidden_state''']
							UpperCamelCase__   :Any												= tf.TensorShape((1, 6, 768)							)
							self.assertEqual(output.shape    ,   UpperCamelCase_							)
							# compare the actual values for a slice.
							UpperCamelCase__   :Any												= tf.convert_to_tensor(
							    [
							        [
							            [0.0681762, 0.10894451, 0.06772504],
							            [-0.06423668, 0.02366615, 0.04329344],
							            [-0.06057295, 0.09974135, -0.00070584],
							        ]
							    ]    ,   dtype=tf.floataa    ,   )

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

class    SCREAMING_SNAKE_CASE__     :





	'''simple docstring'''



	def __init__(  self	:    List[str]			,  lowercase	:    list[int]	):


				'''simple docstring'''


				_snake_case		=			len(lowercase	)
				_snake_case		=			[0] * len_array

				if len_array > 0:
							_snake_case		=			array[0]

				for i in range(1			,  lowercase	):
							_snake_case		=			self.prefix_sum[i - 1] + array[i]



	def  A							(  self	:    Optional[Any]			,  lowercase	:    int			,  lowercase	:    int	):


				'''simple docstring'''


				if start == 0:
							return self.prefix_sum[end]

				return self.prefix_sum[end] - self.prefix_sum[start - 1]





	def  A							(  self	:    Union[str, Any]			,  lowercase	:    int	):


				'''simple docstring'''


				_snake_case		=			{0}
				for sum_item in self.prefix_sum:
							if sum_item - target_sum in sums:
										return True

							sums.add(lowercase	)

				return False


if __name__ == "__main__":
			import doctest

			doctest.testmod()