


"""simple docstring"""







from __future__ import annotations

import queue






class 				__A    :






 """simple docstring"""




 def __init__(		self			,   __A						) ->					int:
     a					=data
     a					=None
     a					=None

def _A						(						):







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







    """simple docstring"""
    if not isinstance(lowercase	,   lowercase		) or not node:
        return
    print(node.data	,   end=''','''		)
    pre_order(node.left		)
    pre_order(node.right		)
def _A						(						lowercase		):







    """simple docstring"""
    if not isinstance(lowercase	,   lowercase		) or not node:
        return
    in_order(node.left		)
    print(node.data	,   end=''','''		)
    in_order(node.right		)
def _A						(						lowercase		):







    """simple docstring"""
    if not isinstance(lowercase	,   lowercase		) or not node:
        return
    post_order(node.left		)
    post_order(node.right		)
    print(node.data	,   end=''','''		)
def _A						(						lowercase		):







    """simple docstring"""
    if not isinstance(lowercase	,   lowercase		) or not node:
        return
    a					=queue.Queue()
    q.put(lowercase		)
    while not q.empty():
        a					=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 _A						(						lowercase		):







    """simple docstring"""
    if not isinstance(lowercase	,   lowercase		) or not node:
        return
    a					=queue.Queue()
    q.put(lowercase		)
    while not q.empty():
        a					=[]
        while not q.empty():
            a					=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(lowercase		)
def _A						(						lowercase		):







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







    """simple docstring"""
    if not isinstance(lowercase	,   lowercase		) or not node:
        return
    a					=[]
    a					=node
    while n or stack:
        while n:
            stack.append(lowercase		)
            a					=n.left
        a					=stack.pop()
        print(n.data	,   end=''','''		)
        a					=n.right
def _A						(						lowercase		):







    """simple docstring"""
    if not isinstance(lowercase	,   lowercase		) or not node:
        return
    a		,				a					=[], []
    a					=node
    stacka.append(lowercase		)
    while stacka:  # to find the reversed order of post order, store it in stack2
        a					=stacka.pop()
        if n.left:
            stacka.append(n.left		)
        if n.right:
            stacka.append(n.right		)
        stacka.append(lowercase		)
    while stacka:  # pop up from stack2 will be the post order
        print(stacka.pop().data	,   end=''','''		)
def _A						(						lowercase = ""	,   lowercase=50	,   lowercase="*"		):







    """simple docstring"""
    if not s:
        return "\n" + width * char
    a		,				a					=divmod(width - len(lowercase		) - 2	,   2		)
    return f'''{left * char} {s} {(left + extra) * char}'''


if __name__ == "__main__":
       import doctest

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

       lowerCamelCase_       :       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("""*""" * 5_0 + """\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())



"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase_       :       str      						=  logging.get_logger(__name__)

lowerCamelCase_       :       Optional[int]      						=  {
    """xlm-roberta-base""": """https://huggingface.co/xlm-roberta-base/resolve/main/config.json""",
    """xlm-roberta-large""": """https://huggingface.co/xlm-roberta-large/resolve/main/config.json""",
    """xlm-roberta-large-finetuned-conll02-dutch""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll02-spanish""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-english""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-german""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json"""
    ),
}






class 				__A    (	_SCREAMING_SNAKE_CASE      ):






 """simple docstring"""




 __lowerCAmelCase			 =  "xlm-roberta"


 def __init__(		self			,   __A=3_0522			,   __A=768			,   __A=12			,   __A=12			,   __A=3072			,   __A="gelu"			,   __A=0.1			,   __A=0.1			,   __A=512			,   __A=2			,   __A=0.02			,   __A=1E-1_2			,   __A=1			,   __A=0			,   __A=2			,   __A="absolute"			,   __A=True			,   __A=None			,   **__A			,   ) ->					str:
     super().__init__(pad_token_id=__A			,   bos_token_id=__A			,   eos_token_id=__A			,   **__A						)

     a					=vocab_size
     a					=hidden_size
     a					=num_hidden_layers
     a					=num_attention_heads
     a					=hidden_act
     a					=intermediate_size
     a					=hidden_dropout_prob
     a					=attention_probs_dropout_prob
     a					=max_position_embeddings
     a					=type_vocab_size
     a					=initializer_range
     a					=layer_norm_eps
     a					=position_embedding_type
     a					=use_cache
     a					=classifier_dropout






class 				__A    (	_SCREAMING_SNAKE_CASE      ):






 """simple docstring"""




 @property
 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
         a					={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
     else:
         a					={0: '''batch''', 1: '''sequence'''}
     return OrderedDict(
         [
             ('''input_ids''', dynamic_axis),
             ('''attention_mask''', dynamic_axis),
         ]						)