


'''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      :			Tuple				)->					Optional[int]:

										"""simple docstring"""




										UpperCAmelCase					    =     TFXLMRobertaModel.from_pretrained('''jplu/tf-xlm-roberta-base'''				)

										UpperCAmelCase					    =     {
										    '''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					    =     model(lowerCAmelCase				)['''last_hidden_state''']
										UpperCAmelCase					    =     tf.TensorShape((1, 6, 768)				)
										self.assertEqual(output.shape				,   lowerCAmelCase				)
										# compare the actual values for a slice.
										UpperCAmelCase					    =     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				)				)









'''simple docstring'''



from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass






@dataclass
class 	UpperCamelCase__:
				__magic_name__    :				int
				__magic_name__    :				TreeNode | None  		=	None
				__magic_name__    :				TreeNode | None  		=	None







_lowercase      :      Tuple            =					namedtuple("""CoinsDistribResult""", """moves excess""")


def 				lowerCamelCase__				(	A       :      TreeNode | None					):




						'''simple docstring'''






						if root is None:
												return 0

						# Validation
						def count_nodes(A       :      TreeNode | None					) -> int:
												if node is None:
																		return 0

												return count_nodes(node.left					) + count_nodes(node.right					) + 1

						def count_coins(A       :      TreeNode | None					) -> int:
												if node is None:
																		return 0

												return count_coins(node.left					) + count_coins(node.right					) + node.data

						if count_nodes(A					) != count_coins(A					):
												raise ValueError('''The nodes number should be same as the number of coins'''					)

						# Main calculation
						def get_distrib(A       :      TreeNode | None					) -> CoinsDistribResult:

												if node is None:
																		return CoinsDistribResult(0				,       1					)

												UpperCAmelCase    ,    UpperCAmelCase					    =     get_distrib(node.left					)
												UpperCAmelCase    ,    UpperCAmelCase					    =     get_distrib(node.right					)

												UpperCAmelCase					    =     1 - left_distrib_excess
												UpperCAmelCase					    =     1 - right_distrib_excess

												UpperCAmelCase					    =     (
												    left_distrib_moves
												    + right_distrib_moves
												    + abs(A					)
												    + abs(A					)
												)
												UpperCAmelCase					    =     node.data - coins_to_left - coins_to_right

												return CoinsDistribResult(A				,       A					)

						return get_distrib(A					)[0]


if __name__ == "__main__":
	import doctest

	doctest.testmod()





