'''simple docstring'''





# Lint as: python3
import sys
from collections.abc import Mapping
from typing import TYPE_CHECKING

import numpy as np
import pyarrow as pa

from .. import config
from ..utils.py_utils import map_nested
from .formatting import TensorFormatter


if TYPE_CHECKING:
    import torch




class        __A      ( TensorFormatter[Mapping, """torch.Tensor""", Mapping]	):



    def __init__(self    :    Union[str, Any]   ,			__a    :    Tuple=None   ,			**__a    :    List[Any] ):
         super().__init__(features=__a )
         UpperCAmelCase_           =   torch_tensor_kwargs
         import torch  # noqa import torch at initialization



    def 					_lowercase						(self    :    Optional[Any]   ,			__a    :    int ):
         import torch

         if isinstance(__a   ,			__a ) and column:
              if all(
                  isinstance(__a   ,			torch.Tensor ) and x.shape == column[0].shape and x.dtype == column[0].dtype
                  for x in column ):
                   return torch.stack(__a )
         return column



    def 					_lowercase						(self    :    Optional[Any]   ,			__a    :    Tuple ):
         import torch

         if isinstance(__a   ,			(str, bytes, type(__a )) ):
              return value
         elif isinstance(__a   ,			(np.character, np.ndarray) ) and np.issubdtype(value.dtype   ,			np.character ):
              return value.tolist()

         UpperCAmelCase_           =   {}

         if isinstance(__a   ,			(np.number, np.ndarray) ) and np.issubdtype(value.dtype   ,			np.integer ):
              UpperCAmelCase_           =   {"dtype": torch.intaa}
         elif isinstance(__a   ,			(np.number, np.ndarray) ) and np.issubdtype(value.dtype   ,			np.floating ):
              UpperCAmelCase_           =   {"dtype": torch.floataa}
         elif config.PIL_AVAILABLE and "PIL" in sys.modules:
              import PIL.Image

              if isinstance(__a   ,			PIL.Image.Image ):
                   UpperCAmelCase_           =   np.asarray(__a )
         return torch.tensor(__a   ,			**{**default_dtype, **self.torch_tensor_kwargs} )



    def 					_lowercase						(self    :    int   ,			__a    :    str ):
         import torch

         # support for torch, tf, jax etc.
         if hasattr(__a   ,			"__array__" ) and not isinstance(__a   ,			torch.Tensor ):
              UpperCAmelCase_           =   data_struct.__array__()
         # support for nested types like struct of list of struct
         if isinstance(__a   ,			np.ndarray ):
              if data_struct.dtype == object:  # torch tensors cannot be instantied from an array of objects
                   return self._consolidate([self.recursive_tensorize(__a ) for substruct in data_struct] )
         elif isinstance(__a   ,			(list, tuple) ):
              return self._consolidate([self.recursive_tensorize(__a ) for substruct in data_struct] )
         return self._tensorize(__a )



    def 					_lowercase						(self    :    Any   ,			__a    :    dict ):
         return map_nested(self._recursive_tensorize   ,			__a   ,			map_list=__a )



    def 					_lowercase						(self    :    int   ,			__a    :    pa.Table ):
         UpperCAmelCase_           =   self.numpy_arrow_extractor().extract_row(__a )
         UpperCAmelCase_           =   self.python_features_decoder.decode_row(__a )
         return self.recursive_tensorize(__a )



    def 					_lowercase						(self    :    Union[str, Any]   ,			__a    :    pa.Table ):
         UpperCAmelCase_           =   self.numpy_arrow_extractor().extract_column(__a )
         UpperCAmelCase_           =   self.python_features_decoder.decode_column(__a   ,			pa_table.column_names[0] )
         UpperCAmelCase_           =   self.recursive_tensorize(__a )
         UpperCAmelCase_           =   self._consolidate(__a )
         return column






    def 					_lowercase						(self    :    Tuple   ,			__a    :    pa.Table ):
         UpperCAmelCase_           =   self.numpy_arrow_extractor().extract_batch(__a )
         UpperCAmelCase_           =   self.python_features_decoder.decode_batch(__a )
         UpperCAmelCase_           =   self.recursive_tensorize(__a )
         for column_name in batch:
              UpperCAmelCase_           =   self._consolidate(batch[column_name] )
         return batch





'''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())




