
"""simple docstring"""






from __future__ import annotations





class 				a__					:



     def __init__(							self :Union[str, Any]      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					List[str]   	=data
      UpperCamelCase_     :					Node | None   	=None
      UpperCamelCase_     :					Node | None   	=None




def       A_  (				__lowercase	):  # In Order traversal of the tree
 if tree:
  display(tree.left	)
  print(tree.data	)
  display(tree.right	)




def       A_  (				__lowercase	):
 return 1 + max(depth_of_tree(tree.left	)						,	depth_of_tree(tree.right	)	) if tree else 0




def       A_  (				__lowercase	):
 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       A_  (				):  # Main function for testing.
 UpperCamelCase_     :					List[str]   	=Node(1	)
 UpperCamelCase_     :					List[str]   	=Node(2	)
 UpperCamelCase_     :					Dict   	=Node(3	)
 UpperCamelCase_     :					Dict   	=Node(4	)
 UpperCamelCase_     :					str   	=Node(5	)
 UpperCamelCase_     :					Tuple   	=Node(6	)
 UpperCamelCase_     :					List[str]   	=Node(7	)
 UpperCamelCase_     :					List[str]   	=Node(8	)
 UpperCamelCase_     :					List[str]   	=Node(9	)

 print(is_full_binary_tree(__lowercase	)	)
 print(depth_of_tree(__lowercase	)	)
 print('Tree is: '	)
 display(__lowercase	)


if __name__ == "__main__":
 main()


"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__SCREAMING_SNAKE_CASE							=     {
    'configuration_mega': ['MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MegaConfig', 'MegaOnnxConfig'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __SCREAMING_SNAKE_CASE							=     [
     'MEGA_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MegaForCausalLM',
     'MegaForMaskedLM',
     'MegaForMultipleChoice',
     'MegaForQuestionAnswering',
     'MegaForSequenceClassification',
     'MegaForTokenClassification',
     'MegaModel',
     'MegaPreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig, MegaOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mega import (
      MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
      MegaForCausalLM,
      MegaForMaskedLM,
      MegaForMultipleChoice,
      MegaForQuestionAnswering,
      MegaForSequenceClassification,
      MegaForTokenClassification,
      MegaModel,
      MegaPreTrainedModel,
  )

else:
 import sys

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