
from __future__ import annotations

import queue






class   UpperCAmelCase		:



   def __init__(self		:					Union[str, Any]    ,						snake_case__		:					int )		->	Optional[int]:


          '''simple docstring'''


          snake_case       :   int							=      data
          snake_case       :   Optional[Any]							=      None
          snake_case       :   Optional[Any]							=      None



def 			UpperCamelCase					(    ):
       print("\n********Press N to stop entering at any point of time********\n"    )
       snake_case       :   Union[str, Any]							=      input("Enter the value of the root node: "    ).strip().lower()
       snake_case       :   queue.Queue							=      queue.Queue()
       snake_case       :   Union[str, Any]							=      TreeNode(int(__lowerCamelCase    )    )
       q.put(__lowerCamelCase    )
       while not q.empty():
              snake_case       :   Optional[Any]							=      q.get()
              snake_case       :   Optional[int]							=      f"""Enter the left node of {node_found.data}: """
              snake_case       :   Any							=      input(__lowerCamelCase    ).strip().lower() or "n"
              if check == "n":
                     return tree_node
              snake_case       :   int							=      TreeNode(int(__lowerCamelCase    )    )
              snake_case       :   Tuple							=      left_node
              q.put(__lowerCamelCase    )
              snake_case       :   Dict							=      f"""Enter the right node of {node_found.data}: """
              snake_case       :   str							=      input(__lowerCamelCase    ).strip().lower() or "n"
              if check == "n":
                     return tree_node
              snake_case       :   Any							=      TreeNode(int(__lowerCamelCase    )    )
              snake_case       :   List[Any]							=      right_node
              q.put(__lowerCamelCase    )
       raise


def 			UpperCamelCase					(    __lowerCamelCase     : TreeNode    ):
       if not isinstance(__lowerCamelCase				,					__lowerCamelCase    ) or not node:
              return
       print(node.data				,					end=","    )
       pre_order(node.left    )
       pre_order(node.right    )


def 			UpperCamelCase					(    __lowerCamelCase     : TreeNode    ):
       if not isinstance(__lowerCamelCase				,					__lowerCamelCase    ) or not node:
              return
       in_order(node.left    )
       print(node.data				,					end=","    )
       in_order(node.right    )


def 			UpperCamelCase					(    __lowerCamelCase     : TreeNode    ):
       if not isinstance(__lowerCamelCase				,					__lowerCamelCase    ) or not node:
              return
       post_order(node.left    )
       post_order(node.right    )
       print(node.data				,					end=","    )


def 			UpperCamelCase					(    __lowerCamelCase     : TreeNode    ):
       if not isinstance(__lowerCamelCase				,					__lowerCamelCase    ) or not node:
              return
       snake_case       :   queue.Queue							=      queue.Queue()
       q.put(__lowerCamelCase    )
       while not q.empty():
              snake_case       :   int							=      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 			UpperCamelCase					(    __lowerCamelCase     : TreeNode    ):
       if not isinstance(__lowerCamelCase				,					__lowerCamelCase    ) or not node:
              return
       snake_case       :   queue.Queue							=      queue.Queue()
       q.put(__lowerCamelCase    )
       while not q.empty():
              snake_case       :   Dict							=      []
              while not q.empty():
                     snake_case       :   Optional[Any]							=      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(__lowerCamelCase    )


def 			UpperCamelCase					(    __lowerCamelCase     : TreeNode    ):
       if not isinstance(__lowerCamelCase				,					__lowerCamelCase    ) or not node:
              return
       snake_case       :   list[TreeNode]							=      []
       snake_case       :   Tuple							=      node
       while n or stack:
              while n:  # start from root node, find its left child
                     print(n.data				,					end=","    )
                     stack.append(__lowerCamelCase    )
                     snake_case       :   Dict							=      n.left
              # end of while means current node doesn't have left child
              snake_case       :   Optional[int]							=      stack.pop()
              # start to traverse its right child
              snake_case       :   List[Any]							=      n.right


def 			UpperCamelCase					(    __lowerCamelCase     : TreeNode    ):
       if not isinstance(__lowerCamelCase				,					__lowerCamelCase    ) or not node:
              return
       snake_case       :   list[TreeNode]							=      []
       snake_case       :   Dict							=      node
       while n or stack:
              while n:
                     stack.append(__lowerCamelCase    )
                     snake_case       :   List[Any]							=      n.left
              snake_case       :   List[Any]							=      stack.pop()
              print(n.data				,					end=","    )
              snake_case       :   str							=      n.right


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


def 			UpperCamelCase					(    __lowerCamelCase     : str = ""				,					__lowerCamelCase     : Tuple=50				,					__lowerCamelCase     : int="*"    ):
       if not s:
              return "\n" + width * char
       snake_case				,					snake_case       :   Optional[Any]							=      divmod(width - len(__lowerCamelCase    ) - 2				,					2    )
       return f"""{left * char} {s} {(left + extra) * char}"""


if __name__ == "__main__":
   import doctest

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

   __lowerCamelCase							=       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())







from typing import TYPE_CHECKING

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


__lowerCamelCase							=       {
    """configuration_biogpt""": ["""BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BioGptConfig"""],
    """tokenization_biogpt""": ["""BioGptTokenizer"""],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase							=       [
       """BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """BioGptForCausalLM""",
       """BioGptForTokenClassification""",
       """BioGptForSequenceClassification""",
       """BioGptModel""",
       """BioGptPreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
   from .tokenization_biogpt import BioGptTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_biogpt import (
          BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
          BioGptForCausalLM,
          BioGptForSequenceClassification,
          BioGptForTokenClassification,
          BioGptModel,
          BioGptPreTrainedModel,
      )


else:
   import sys

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





