'''simple docstring'''





from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
    import torch

if is_torch_tpu_available(check_device=False):
    import torch_xla.core.xla_model as xm


SCREAMING_SNAKE_CASE_:     str  =logging.get_logger(__name__)




@dataclass
class        __A      ( UpperCamelCase__	):
    a__       :						str          =  [
        """no_inference""",
        """no_cuda""",
        """no_tpu""",
        """no_speed""",
        """no_memory""",
        """no_env_print""",
        """no_multi_process""",
    ]



    def __init__(self    :    List[str]   ,			**__a    :    Tuple ):
         for deprecated_arg in self.deprecated_args:
              if deprecated_arg in kwargs:
                   UpperCAmelCase_           =   deprecated_arg[3:]
                   setattr(self   ,			__a   ,			not kwargs.pop(__a ) )
                   logger.warning(
                       f"""{deprecated_arg} is depreciated. Please use --no_{positive_arg} or"""
                       f""" {positive_arg}={kwargs[positive_arg]}""" )

         UpperCAmelCase_           =   kwargs.pop("torchscript"   ,			self.torchscript )
         UpperCAmelCase_           =   kwargs.pop("torch_xla_tpu_print_metrics"   ,			self.torch_xla_tpu_print_metrics )
         UpperCAmelCase_           =   kwargs.pop("fp16_opt_level"   ,			self.fpaa_opt_level )
         super().__init__(**__a )

    a__       :						bool          =  field(default=UpperCamelCase__		,	metadata={"""help""": """Trace the models using torchscript"""}	)
    a__       :						bool          =  field(default=UpperCamelCase__		,	metadata={"""help""": """Print Xla/PyTorch tpu metrics"""}	)
    a__       :						str          =  field(
        default="""O1"""		,	metadata={
            """help""": (
                """For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']. """
                """See details at https://nvidia.github.io/apex/amp.html"""
            )
        }		,	)



    @cached_property
    def 					_lowercase						(self    :    int ):
         requires_backends(self   ,			["torch"] )
         logger.info("PyTorch: setting up devices" )
         if not self.cuda:
              UpperCAmelCase_           =   torch.device("cpu" )
              UpperCAmelCase_           =   0
         elif is_torch_tpu_available():
              UpperCAmelCase_           =   xm.xla_device()
              UpperCAmelCase_           =   0
         else:
              UpperCAmelCase_           =   torch.device("cuda" if torch.cuda.is_available() else "cpu" )
              UpperCAmelCase_           =   torch.cuda.device_count()
         return device, n_gpu



    @property
    def 					_lowercase						(self    :    Tuple ):
         return is_torch_tpu_available() and self.tpu



    @property
    def 					_lowercase						(self    :    int ):
         requires_backends(self   ,			["torch"] )
         # TODO(PVP): currently only single GPU is supported
         return torch.cuda.current_device()



    @property
    def 					_lowercase						(self    :    List[str] ):
         requires_backends(self   ,			["torch"] )
         return self._setup_devices[0]



    @property
    def 					_lowercase						(self    :    Tuple ):
         requires_backends(self   ,			["torch"] )
         return self._setup_devices[1]






    @property
    def 					_lowercase						(self    :    Optional[Any] ):
         return self.n_gpu > 0





'''simple docstring'''





from __future__ import annotations

import queue




class        __A      :



    def __init__(self    :    Optional[Any]   ,			__a    :    str ):
         UpperCAmelCase_           =   data
         UpperCAmelCase_           =   None
         UpperCAmelCase_           =   None





def 	lowerCAmelCase_				(					)    ->      TreeNode:


     '''simple docstring'''




     print("\n********Press N to stop entering at any point of time********\n"			)
     UpperCAmelCase_           =   input("Enter the value of the root node: "			).strip().lower()
     UpperCAmelCase_           =   queue.Queue()
     UpperCAmelCase_           =   TreeNode(int(snake_case_			)			)
     q.put(snake_case_			)
     while not q.empty():
          UpperCAmelCase_           =   q.get()
          UpperCAmelCase_           =   f"""Enter the left node of {node_found.data}: """
          UpperCAmelCase_           =   input(snake_case_			).strip().lower() or "n"
          if check == "n":
               return tree_node
          UpperCAmelCase_           =   TreeNode(int(snake_case_			)			)
          UpperCAmelCase_           =   left_node
          q.put(snake_case_			)
          UpperCAmelCase_           =   f"""Enter the right node of {node_found.data}: """
          UpperCAmelCase_           =   input(snake_case_			).strip().lower() or "n"
          if check == "n":
               return tree_node
          UpperCAmelCase_           =   TreeNode(int(snake_case_			)			)
          UpperCAmelCase_           =   right_node
          q.put(snake_case_			)
     raise





def 	lowerCAmelCase_				(					snake_case_       : TreeNode			)    ->      None:


     '''simple docstring'''




     if not isinstance(snake_case_					,    snake_case_			) or not node:
          return
     print(node.data					,    end=","			)
     pre_order(node.left			)
     pre_order(node.right			)





def 	lowerCAmelCase_				(					snake_case_       : TreeNode			)    ->      None:


     '''simple docstring'''




     if not isinstance(snake_case_					,    snake_case_			) or not node:
          return
     in_order(node.left			)
     print(node.data					,    end=","			)
     in_order(node.right			)





def 	lowerCAmelCase_				(					snake_case_       : TreeNode			)    ->      None:


     '''simple docstring'''




     if not isinstance(snake_case_					,    snake_case_			) or not node:
          return
     post_order(node.left			)
     post_order(node.right			)
     print(node.data					,    end=","			)





def 	lowerCAmelCase_				(					snake_case_       : TreeNode			)    ->      None:


     '''simple docstring'''




     if not isinstance(snake_case_					,    snake_case_			) or not node:
          return
     UpperCAmelCase_           =   queue.Queue()
     q.put(snake_case_			)
     while not q.empty():
          UpperCAmelCase_           =   q.get()
          print(node_dequeued.data					,    end=","			)
          if node_dequeued.left:
               q.put(node_dequeued.left			)
          if node_dequeued.right:
               q.put(node_dequeued.right			)





def 	lowerCAmelCase_				(					snake_case_       : TreeNode			)    ->      None:


     '''simple docstring'''




     if not isinstance(snake_case_					,    snake_case_			) or not node:
          return
     UpperCAmelCase_           =   queue.Queue()
     q.put(snake_case_			)
     while not q.empty():
          UpperCAmelCase_           =   []
          while not q.empty():
               UpperCAmelCase_           =   q.get()
               print(node_dequeued.data					,    end=","			)
               if node_dequeued.left:
                    list_.append(node_dequeued.left			)
               if node_dequeued.right:
                    list_.append(node_dequeued.right			)
          print()
          for node in list_:
               q.put(snake_case_			)





def 	lowerCAmelCase_				(					snake_case_       : TreeNode			)    ->      None:


     '''simple docstring'''




     if not isinstance(snake_case_					,    snake_case_			) or not node:
          return
     UpperCAmelCase_           =   []
     UpperCAmelCase_           =   node
     while n or stack:
          while n:  # start from root node, find its left child
               print(n.data					,    end=","			)
               stack.append(snake_case_			)
               UpperCAmelCase_           =   n.left
          # end of while means current node doesn't have left child
          UpperCAmelCase_           =   stack.pop()
          # start to traverse its right child
          UpperCAmelCase_           =   n.right





def 	lowerCAmelCase_				(					snake_case_       : TreeNode			)    ->      None:


     '''simple docstring'''




     if not isinstance(snake_case_					,    snake_case_			) or not node:
          return
     UpperCAmelCase_           =   []
     UpperCAmelCase_           =   node
     while n or stack:
          while n:
               stack.append(snake_case_			)
               UpperCAmelCase_           =   n.left
          UpperCAmelCase_           =   stack.pop()
          print(n.data					,    end=","			)
          UpperCAmelCase_           =   n.right





def 	lowerCAmelCase_				(					snake_case_       : TreeNode			)    ->      None:


     '''simple docstring'''




     if not isinstance(snake_case_					,    snake_case_			) or not node:
          return
     UpperCAmelCase_    , UpperCAmelCase_           =   [], []
     UpperCAmelCase_           =   node
     stacka.append(snake_case_			)
     while stacka:  # to find the reversed order of post order, store it in stack2
          UpperCAmelCase_           =   stacka.pop()
          if n.left:
               stacka.append(n.left			)
          if n.right:
               stacka.append(n.right			)
          stacka.append(snake_case_			)
     while stacka:  # pop up from stack2 will be the post order
          print(stacka.pop().data					,    end=","			)





def 	lowerCAmelCase_				(					snake_case_       : str = ""					,    snake_case_       : Any=50					,    snake_case_       : Union[str, Any]="*"			)    ->      str:


     '''simple docstring'''




     if not s:
          return "\n" + width * char
     UpperCAmelCase_    , UpperCAmelCase_           =   divmod(width - len(snake_case_			) - 2					,    2			)
     return f"""{left * char} {s} {(left + extra) * char}"""


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    print(prompt('Binary Tree Traversals'))

    SCREAMING_SNAKE_CASE_:     TreeNode  =build_tree()
    print(prompt('Pre Order Traversal'))
    pre_order(node)
    print(prompt() + '\n')

    print(prompt('In Order Traversal'))
    in_order(node)
    print(prompt() + '\n')

    print(prompt('Post Order Traversal'))
    post_order(node)
    print(prompt() + '\n')

    print(prompt('Level Order Traversal'))
    level_order(node)
    print(prompt() + '\n')

    print(prompt('Actual Level Order Traversal'))
    level_order_actual(node)
    print('*' * 50 + '\n')

    print(prompt('Pre Order Traversal - Iteration Version'))
    pre_order_iter(node)
    print(prompt() + '\n')

    print(prompt('In Order Traversal - Iteration Version'))
    in_order_iter(node)
    print(prompt() + '\n')

    print(prompt('Post Order Traversal - Iteration Version'))
    post_order_iter(node)
    print(prompt())




