




'''simple docstring'''



import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
      import jax

      from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
      from transformers.models.bert.modeling_flax_bert import FlaxBertModel
      from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel






@require_flax
class 							_a				(			unittest.TestCase ):





       '''simple docstring'''






       @slow
       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             for model_name in ["bert-base-cased", "bert-large-uncased"]:
                   with self.subTest(A  ):
                         SCREAMING_SNAKE_CASE   :      Dict    					=						AutoConfig.from_pretrained(A  )
                         self.assertIsNotNone(A  )
                         self.assertIsInstance(A,							A  )

                         SCREAMING_SNAKE_CASE   :      Tuple    					=						FlaxAutoModel.from_pretrained(A  )
                         self.assertIsNotNone(A  )
                         self.assertIsInstance(A,							A  )







       @slow
       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             for model_name in ["roberta-base", "roberta-large"]:
                   with self.subTest(A  ):
                         SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						AutoConfig.from_pretrained(A  )
                         self.assertIsNotNone(A  )
                         self.assertIsInstance(A,							A  )

                         SCREAMING_SNAKE_CASE   :      str    					=						FlaxAutoModel.from_pretrained(A  )
                         self.assertIsNotNone(A  )
                         self.assertIsInstance(A,							A  )







       @slow
       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             for model_name in ["bert-base-cased", "bert-large-uncased"]:
                   SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						AutoTokenizer.from_pretrained(A  )
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						FlaxBertModel.from_pretrained(A  )
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						tokenizer('Do you support jax jitted function?',							return_tensors=TensorType.JAX  )

                   @jax.jit
                   def eval(**A  ):
                         return model(**A  )

                   eval(**A  ).block_until_ready()







       @slow
       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             for model_name in ["roberta-base", "roberta-large"]:
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						AutoTokenizer.from_pretrained(A  )
                   SCREAMING_SNAKE_CASE   :      int    					=						FlaxRobertaModel.from_pretrained(A  )
                   SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						tokenizer('Do you support jax jitted function?',							return_tensors=TensorType.JAX  )

                   @jax.jit
                   def eval(**A  ):
                         return model(**A  )

                   eval(**A  ).block_until_ready()







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             with self.assertRaisesRegex(
                 A,							'bert-base is not a local folder and is not a valid model identifier'  ):
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						FlaxAutoModel.from_pretrained('bert-base'  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             with self.assertRaisesRegex(
                 A,							r'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'  ):
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						FlaxAutoModel.from_pretrained(A,							revision='aaaaaa'  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             with self.assertRaisesRegex(
                 A,							'hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack',							):
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						FlaxAutoModel.from_pretrained('hf-internal-testing/config-no-model'  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             with self.assertRaisesRegex(A,							'Use `from_pt=True` to load this model'  ):
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						FlaxAutoModel.from_pretrained('hf-internal-testing/tiny-bert-pt-only'  )








'''simple docstring'''



class 							_a				:





       '''simple docstring'''






       def __init__(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Tuple    					=						val
             SCREAMING_SNAKE_CASE   :      Any    					=						None
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						None







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             if self.val:
                   if val < self.val:
                         if self.left is None:
                               SCREAMING_SNAKE_CASE   :      Optional[int]    					=						Node(A  )
                         else:
                               self.left.insert(A  )
                   elif val > self.val:
                         if self.right is None:
                               SCREAMING_SNAKE_CASE   :      int    					=						Node(A  )
                         else:
                               self.right.insert(A  )
             else:
                   SCREAMING_SNAKE_CASE   :      int    					=						val




def   lowercase__(			__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					List[str]    ):

      """simple docstring"""






      if root:
            inorder(root.left      ,__UpperCamelCase    )
            res.append(root.val    )
            inorder(root.right      ,__UpperCamelCase    )




def   lowercase__(			__UpperCamelCase:					List[Any]    ):

      """simple docstring"""






      if len(__UpperCamelCase    ) == 0:
            return arr
      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						Node(arr[0]    )
      for i in range(1      ,len(__UpperCamelCase    )    ):
            root.insert(arr[i]    )
      # Traverse BST in order.
      SCREAMING_SNAKE_CASE   :      Dict    					=						[]
      inorder(__UpperCamelCase      ,__UpperCamelCase    )
      return res


if __name__ == "__main__":
      print(tree_sort([1_0, 1, 3, 2, 9, 1_4, 1_3]))


