

"""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 					a						(       unittest.TestCase				):



    """simple docstring"""



    @slow
    def 				UpperCamelCase	(     self: Dict       ):






         """simple docstring"""


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

         A__										=  {
             """input_ids""": tf.convert_to_tensor([[0, 26_46, 1_02_69, 83, 9_99_42, 2]]    ,						dtype=tf.intaa       ),  # "My dog is cute"
             """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]    ,						dtype=tf.intaa       ),
         }

         A__										=  model(UpperCamelCase       )["""last_hidden_state"""]
         A__										=  tf.TensorShape((1, 6, 7_68)       )
         self.assertEqual(output.shape    ,						UpperCamelCase       )
         # compare the actual values for a slice.
         A__										=  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"""



from collections import defaultdict





def  _snake_case     (    UpperCAmelCase_  :					int			):
     A__										=  1
     A__										=  True
     for v in tree[start]:
          if v not in visited:
               ret += dfs(UpperCAmelCase_			)
     if ret % 2 == 0:
          cuts.append(UpperCAmelCase_			)
     return ret





def  _snake_case     (    ):
     dfs(1			)


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_  ,SCREAMING_SNAKE_CASE_					:	Any							  =						1_0, 9
 SCREAMING_SNAKE_CASE_					:	Any							  =						defaultdict(list)
 SCREAMING_SNAKE_CASE_					:	dict[int, bool]							  =						{}
 SCREAMING_SNAKE_CASE_					:	list[int]							  =						[]
 SCREAMING_SNAKE_CASE_					:	Optional[int]							  =						0
 SCREAMING_SNAKE_CASE_					:	Any							  =						[(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (1_0, 8)]
 for u, v in edges:
  tree[u].append(v)
  tree[v].append(u)
 even_tree()
 print(len(cuts) - 1)






