

'''simple docstring'''







from __future__ import annotations


class        A__   :



    def __init__(       self		,					UpperCamelCase__							)    ->   None:





           '''simple docstring'''
           A_						       =   data
           A_						       =   None
           A_						       =   None

def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      None:  # In Order traversal of the tree
       if tree:
              display(tree.left					)
              print(tree.data					)
              display(tree.right					)
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      int:
       return 1 + max(depth_of_tree(tree.left					),							depth_of_tree(tree.right					)					) if tree else 0
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      bool:
       if not tree:
              return True
       if tree.left and tree.right:
              return is_full_binary_tree(tree.left					) and is_full_binary_tree(tree.right					)
       else:
              return not tree.left and not tree.right
def    UpperCAmelCase__     (   )      ->      None:  # Main function for testing.
       A_						       =   Node(1					)
       A_						       =   Node(2					)
       A_						       =   Node(3					)
       A_						       =   Node(4					)
       A_						       =   Node(5					)
       A_						       =   Node(6					)
       A_						       =   Node(7					)
       A_						       =   Node(8					)
       A_						       =   Node(9					)

       print(is_full_binary_tree(UpperCAmelCase__					)					)
       print(depth_of_tree(UpperCAmelCase__					)					)
       print("""Tree is: """					)
       display(UpperCAmelCase__					)


if __name__ == "__main__":
      main()



'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tensorflow_text_available, is_torch_available


__lowerCamelCase									=     {
    '''configuration_ernie''': ['''ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ErnieConfig''', '''ErnieOnnxConfig'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowerCamelCase									=     [
          '''ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ErnieForCausalLM''',
          '''ErnieForMaskedLM''',
          '''ErnieForMultipleChoice''',
          '''ErnieForNextSentencePrediction''',
          '''ErnieForPreTraining''',
          '''ErnieForQuestionAnswering''',
          '''ErnieForSequenceClassification''',
          '''ErnieForTokenClassification''',
          '''ErnieModel''',
          '''ErniePreTrainedModel''',
      ]

if TYPE_CHECKING:
      from .configuration_ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig, ErnieOnnxConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_ernie import (
                ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
                ErnieForCausalLM,
                ErnieForMaskedLM,
                ErnieForMultipleChoice,
                ErnieForNextSentencePrediction,
                ErnieForPreTraining,
                ErnieForQuestionAnswering,
                ErnieForSequenceClassification,
                ErnieForTokenClassification,
                ErnieModel,
                ErniePreTrainedModel,
            )

else:
      import sys

      __lowerCamelCase									=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
