


'''simple docstring'''







from __future__ import annotations

import queue
class 	UpperCamelCase__					:



     """simple docstring"""






     def __init__( self      ,	snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							int   			=       data
            _lowerCAmelCase    :							Union[str, Any]   			=       None
            _lowerCAmelCase    :							int   			=       None






def 			lowercase				():







       """simple docstring"""







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






def 			lowercase				(_A					):







       """simple docstring"""







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






def 			lowercase				(_A					):







       """simple docstring"""







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






def 			lowercase				(_A					):







       """simple docstring"""







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






def 			lowercase				(_A					):







       """simple docstring"""







       if not isinstance(_A   ,						_A					) or not node:
              return
       _lowerCAmelCase    :							queue.Queue   			=       queue.Queue()
       q.put(_A					)
       while not q.empty():
              _lowerCAmelCase    :							List[str]   			=       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 			lowercase				(_A					):







       """simple docstring"""







       if not isinstance(_A   ,						_A					) or not node:
              return
       _lowerCAmelCase    :							queue.Queue   			=       queue.Queue()
       q.put(_A					)
       while not q.empty():
              _lowerCAmelCase    :							Optional[Any]   			=       []
              while not q.empty():
                     _lowerCAmelCase    :							str   			=       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(_A					)






def 			lowercase				(_A					):







       """simple docstring"""







       if not isinstance(_A   ,						_A					) or not node:
              return
       _lowerCAmelCase    :							list[TreeNode]   			=       []
       _lowerCAmelCase    :							Union[str, Any]   			=       node
       while n or stack:
              while n:  # start from root node, find its left child
                     print(n.data   ,						end=','					)
                     stack.append(_A					)
                     _lowerCAmelCase    :							str   			=       n.left
              # end of while means current node doesn't have left child
              _lowerCAmelCase    :							Dict   			=       stack.pop()
              # start to traverse its right child
              _lowerCAmelCase    :							Any   			=       n.right






def 			lowercase				(_A					):







       """simple docstring"""







       if not isinstance(_A   ,						_A					) or not node:
              return
       _lowerCAmelCase    :							list[TreeNode]   			=       []
       _lowerCAmelCase    :							List[str]   			=       node
       while n or stack:
              while n:
                     stack.append(_A					)
                     _lowerCAmelCase    :							Any   			=       n.left
              _lowerCAmelCase    :							int   			=       stack.pop()
              print(n.data   ,						end=','					)
              _lowerCAmelCase    :							List[Any]   			=       n.right






def 			lowercase				(_A					):







       """simple docstring"""







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






def 			lowercase				(_A = ""   ,						_A=5_0   ,						_A="*"					):







       """simple docstring"""







       if not s:
              return "\n" + width * char
       _lowerCAmelCase			,     _lowerCAmelCase    :							int   			=       divmod(width - len(_A					) - 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("""*""" * 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())





'''simple docstring'''







import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
       import jax.numpy as jnp

       from transformers import FlaxXLMRobertaModel
@require_sentencepiece
@require_tokenizers
@require_flax
class 	UpperCamelCase__					( unittest.TestCase	):



     """simple docstring"""






     @slow
     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[str]   			=       FlaxXLMRobertaModel.from_pretrained('xlm-roberta-base'   )
            _lowerCAmelCase    :							Optional[Any]   			=       AutoTokenizer.from_pretrained('xlm-roberta-base'   )
            _lowerCAmelCase    :							Dict   			=       'The dog is cute and lives in the garden house'
            _lowerCAmelCase    :							List[str]   			=       jnp.array([tokenizer.encode(snake_case__   )]   )

            _lowerCAmelCase    :							Optional[int]   			=       (1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
            _lowerCAmelCase    :							Tuple   			=       jnp.array(
                [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]]   )

            _lowerCAmelCase    :							Union[str, Any]   			=       model(snake_case__   )['last_hidden_state']
            self.assertEqual(output.shape      ,	snake_case__   )
            # compare the actual values for a slice of last dim
            self.assertTrue(jnp.allclose(output[:, :, -1]      ,	snake_case__      ,	atol=1E-3   )   )

