
'''simple docstring'''







import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch







class UpperCAmelCase__      (					unittest.TestCase      ):





  """simple docstring"""

  __UpperCAmelCase							:							Optional[Any]    					=   JukeboxTokenizer
  __UpperCAmelCase							:							int    					=   {
      """artist""": """Zac Brown Band""",
      """genres""": """Country""",
      """lyrics""": """I met a traveller from an antique land,
        Who said \"Two vast and trunkless legs of stone
        Stand in the desert. . . . Near them, on the sand,
        Half sunk a shattered visage lies, whose frown,
        And wrinkled lip, and sneer of cold command,
        Tell that its sculptor well those passions read
        Which yet survive, stamped on these lifeless things,
        The hand that mocked them, and the heart that fed;
        And on the pedestal, these words appear:
        My name is Ozymandias, King of Kings;
        Look on my Works, ye Mighty, and despair!
        Nothing beside remains. Round the decay
        Of that colossal Wreck, boundless and bare
        The lone and level sands stretch far away
        """,
  }


  @require_torch
  def     __lowercase						(						self :	Any			):


     '''simple docstring'''






     import torch

     _a							:      str     =  JukeboxTokenizer.from_pretrained('openai/jukebox-1b-lyrics'			)
     _a							:      Dict     =  tokenizer(**self.metas			)['input_ids']
     # fmt: off
     _a							:      Optional[Any]     =  [
         torch.tensor([[
             0, 0, 0, 7169, 507, 9, 76, 39, 31, 46, 76, 27,
             76, 46, 44, 27, 48, 31, 38, 38, 31, 44, 76, 32,
             44, 41, 39, 76, 27, 40, 76, 27, 40, 46, 35, 43,
             47, 31, 76, 38, 27, 40, 30, 64, 78, 76, 76, 76,
             76, 76, 76, 76, 76, 23, 34, 41, 76, 45, 27, 35,
             30, 76, 71, 20, 49, 41, 76, 48, 27, 45, 46, 76,
             27, 40, 30, 76, 46, 44, 47, 40, 37, 38, 31, 45,
             45, 76, 38, 31, 33, 45, 76, 41, 32, 76, 45, 46,
             41, 40, 31, 78, 76, 76, 76, 76, 76, 76, 76, 76,
             19, 46, 27, 40, 30, 76, 35, 40, 76, 46, 34, 31,
             76, 30, 31, 45, 31, 44, 46, 63, 76, 63, 76, 63,
             76, 63, 76, 14, 31, 27, 44, 76, 46, 34, 31, 39,
             64, 76, 41, 40, 76, 46, 34, 31, 76, 45, 27, 40,
             30, 64, 78, 76, 76, 76, 76, 76, 76, 76, 76, 8,
             27, 38, 32, 76, 45, 47, 40, 37, 76, 27, 76, 45,
             34, 27, 46, 46, 31, 44, 31, 30, 76, 48, 35, 45,
             27, 33, 31, 76, 38, 35, 31, 45, 64, 76, 49, 34,
             41, 45, 31, 76, 32, 44, 41, 49, 40, 64, 78, 76,
             76, 76, 76, 76, 76, 76, 76, 1, 40, 30, 76, 49,
             44, 35, 40, 37, 38, 31, 30, 76, 38, 35, 42, 64,
             76, 27, 40, 30, 76, 45, 40, 31, 31, 44, 76, 41,
             32, 76, 29, 41, 38, 30, 76, 29, 41, 39, 39, 27,
             40, 30, 64, 78, 76, 76, 76, 76, 76, 76, 76, 76,
             20, 31, 38, 38, 76, 46, 34, 27, 46, 76, 35, 46,
             45, 76, 45, 29, 47, 38, 42, 46, 41, 44, 76, 49,
             31, 38, 38, 76, 46, 34, 41, 45, 31, 76, 42, 27,
             45, 45, 35, 41, 40, 45, 76, 44, 31, 27, 30, 78,
             76, 76, 76, 76, 76, 76, 76, 76, 23, 34, 35, 29,
             34, 76, 51, 31, 46, 76, 45, 47, 44, 48, 35, 48,
             31, 64, 76, 45, 46, 27, 39, 42, 31, 30, 76, 41,
             40, 76, 46, 34, 31, 45, 31, 76, 38, 35, 32, 31,
             38, 31, 45, 45, 76, 46, 34, 35, 40, 33, 45, 64,
             78, 76, 76, 76, 76, 76, 76, 76, 76, 20, 34, 31,
             76, 34, 27, 40, 30, 76, 46, 34, 27, 46, 76, 39,
             41, 29, 37, 31, 30, 76, 46, 34, 31, 39, 64, 76,
             27, 40, 30, 76, 46, 34, 31, 76, 34, 31, 27, 44,
             46, 76, 46, 34, 27, 46, 76, 32, 31, 30, 66, 78,
             76, 76, 76, 76, 76, 76, 76, 76, 1, 40, 30, 76,
             41, 40, 76, 46, 34, 31, 76, 42, 31, 30, 31, 45,
             46, 27, 38, 64, 76, 46, 34, 31, 45, 31, 76, 49,
             41, 44, 30, 45, 76, 27, 42, 42, 31, 27, 44, 65,
             78, 76, 76, 76, 76, 76, 76, 76, 76, 13, 51, 76,
             40, 27, 39, 31, 76, 35, 45, 76, 15, 52, 51, 39,
             27, 40, 30, 35, 27, 45, 64, 76, 11, 35, 40, 33,
             76, 41, 32, 76, 11, 35, 40, 33, 45, 66, 78, 76,
             76, 76, 76, 76, 76, 76, 76, 12, 41, 41, 37, 76,
             41, 40, 76, 39, 51, 76, 23, 41, 44, 37, 45, 64,
             76, 51, 31, 76, 13, 35, 33, 34, 46, 51, 64, 76,
             27, 40, 30, 76, 30, 31, 45, 42, 27, 35, 44, 67,
             78, 76, 76, 76, 76, 76, 76, 76, 76, 14, 41, 46,
             34, 35, 40, 33, 76, 28, 31, 45, 35, 30, 31, 76,
             44, 31, 39, 27, 35, 40, 45, 63, 76, 18, 41, 47,
             40, 30, 76, 46, 34, 31, 76, 30, 31, 29, 27, 51,
             78, 76, 76, 76, 76, 76, 76, 76, 76, 15, 32, 76,
             46, 34, 27, 46, 76, 29, 41, 38, 41, 45, 45, 27,
             38, 76, 23, 44, 31, 29, 37, 64, 76, 28, 41, 47,
             40, 30, 38, 31, 45, 45, 76, 27, 40, 30, 76, 28,
             27, 44, 31, 78, 76, 76, 76, 76, 76, 76, 76, 76,
             20, 34, 31, 76, 38, 41, 40, 31, 76, 27, 40, 30,
             76, 38, 31, 48, 31, 38, 76, 45, 27, 40, 30, 45,
             76, 45, 46, 44, 31, 46, 29, 34, 76, 32, 27, 44,
             76, 27, 49, 27, 51, 78, 76, 76, 76, 76, 76, 76,
             76, 76]]			),
         torch.tensor([[0, 0, 0, 1069, 11]]			),
         torch.tensor([[0, 0, 0, 1069, 11]]			),
     ]
     # fmt: on
     self.assertTrue(torch.allclose(tokens[0]				,EXPECTED_OUTPUT[0]			)			)
     self.assertTrue(torch.allclose(tokens[1]				,EXPECTED_OUTPUT[1]			)			)
     self.assertTrue(torch.allclose(tokens[2]				,EXPECTED_OUTPUT[2]			)			)


  @require_torch
  def     __lowercase						(						self :	Optional[Any]			):


     '''simple docstring'''






     import torch

     _a							:      Optional[int]     =  JukeboxTokenizer.from_pretrained('openai/jukebox-5b-lyrics'			)
     _a							:      List[str]     =  tokenizer(**self.metas			)['input_ids']
     # fmt: off
     _a							:      Union[str, Any]     =  [
         torch.tensor([[
             0, 0, 0, 1069, 11, -1, -1, -1, -1, 9, 77, 39,
             31, 46, 77, 27, 77, 46, 44, 27, 48, 31, 38, 38,
             31, 44, 77, 32, 44, 41, 39, 77, 27, 40, 77, 27,
             40, 46, 35, 43, 47, 31, 77, 38, 27, 40, 30, 64,
             79, 77, 77, 77, 77, 77, 77, 77, 77, 23, 34, 41,
             77, 45, 27, 35, 30, 77, 72, 20, 49, 41, 77, 48,
             27, 45, 46, 77, 27, 40, 30, 77, 46, 44, 47, 40,
             37, 38, 31, 45, 45, 77, 38, 31, 33, 45, 77, 41,
             32, 77, 45, 46, 41, 40, 31, 79, 77, 77, 77, 77,
             77, 77, 77, 77, 19, 46, 27, 40, 30, 77, 35, 40,
             77, 46, 34, 31, 77, 30, 31, 45, 31, 44, 46, 63,
             77, 63, 77, 63, 77, 63, 77, 14, 31, 27, 44, 77,
             46, 34, 31, 39, 64, 77, 41, 40, 77, 46, 34, 31,
             77, 45, 27, 40, 30, 64, 79, 77, 77, 77, 77, 77,
             77, 77, 77, 8, 27, 38, 32, 77, 45, 47, 40, 37,
             77, 27, 77, 45, 34, 27, 46, 46, 31, 44, 31, 30,
             77, 48, 35, 45, 27, 33, 31, 77, 38, 35, 31, 45,
             64, 77, 49, 34, 41, 45, 31, 77, 32, 44, 41, 49,
             40, 64, 79, 77, 77, 77, 77, 77, 77, 77, 77, 1,
             40, 30, 77, 49, 44, 35, 40, 37, 38, 31, 30, 77,
             38, 35, 42, 64, 77, 27, 40, 30, 77, 45, 40, 31,
             31, 44, 77, 41, 32, 77, 29, 41, 38, 30, 77, 29,
             41, 39, 39, 27, 40, 30, 64, 79, 77, 77, 77, 77,
             77, 77, 77, 77, 20, 31, 38, 38, 77, 46, 34, 27,
             46, 77, 35, 46, 45, 77, 45, 29, 47, 38, 42, 46,
             41, 44, 77, 49, 31, 38, 38, 77, 46, 34, 41, 45,
             31, 77, 42, 27, 45, 45, 35, 41, 40, 45, 77, 44,
             31, 27, 30, 79, 77, 77, 77, 77, 77, 77, 77, 77,
             23, 34, 35, 29, 34, 77, 51, 31, 46, 77, 45, 47,
             44, 48, 35, 48, 31, 64, 77, 45, 46, 27, 39, 42,
             31, 30, 77, 41, 40, 77, 46, 34, 31, 45, 31, 77,
             38, 35, 32, 31, 38, 31, 45, 45, 77, 46, 34, 35,
             40, 33, 45, 64, 79, 77, 77, 77, 77, 77, 77, 77,
             77, 20, 34, 31, 77, 34, 27, 40, 30, 77, 46, 34,
             27, 46, 77, 39, 41, 29, 37, 31, 30, 77, 46, 34,
             31, 39, 64, 77, 27, 40, 30, 77, 46, 34, 31, 77,
             34, 31, 27, 44, 46, 77, 46, 34, 27, 46, 77, 32,
             31, 30, 66, 79, 77, 77, 77, 77, 77, 77, 77, 77,
             1, 40, 30, 77, 41, 40, 77, 46, 34, 31, 77, 42,
             31, 30, 31, 45, 46, 27, 38, 64, 77, 46, 34, 31,
             45, 31, 77, 49, 41, 44, 30, 45, 77, 27, 42, 42,
             31, 27, 44, 65, 79, 77, 77, 77, 77, 77, 77, 77,
             77, 13, 51, 77, 40, 27, 39, 31, 77, 35, 45, 77,
             15, 52, 51, 39, 27, 40, 30, 35, 27, 45, 64, 77,
             11, 35, 40, 33, 77, 41, 32, 77, 11, 35, 40, 33,
             45, 66, 79, 77, 77, 77, 77, 77, 77, 77, 77, 12,
             41, 41, 37, 77, 41, 40, 77, 39, 51, 77, 23, 41,
             44, 37, 45, 64, 77, 51, 31, 77, 13, 35, 33, 34,
             46, 51, 64, 77, 27, 40, 30, 77, 30, 31, 45, 42,
             27, 35, 44, 67, 79, 77, 77, 77, 77, 77, 77, 77,
             77, 14, 41, 46, 34, 35, 40, 33, 77, 28, 31, 45,
             35, 30, 31, 77, 44, 31, 39, 27, 35, 40, 45, 63,
             77, 18, 41, 47, 40, 30, 77, 46, 34, 31, 77, 30,
             31, 29, 27, 51, 79, 77, 77, 77, 77, 77, 77, 77,
             77, 15, 32, 77, 46, 34, 27, 46, 77, 29, 41, 38,
             41, 45, 45, 27, 38, 77, 23, 44, 31, 29, 37, 64,
             77, 28, 41, 47, 40, 30, 38, 31, 45, 45, 77, 27,
             40, 30, 77, 28, 27, 44, 31, 79, 77, 77, 77, 77,
             77, 77, 77, 77, 20, 34, 31, 77, 38, 41, 40, 31,
             77, 27, 40, 30, 77, 38, 31, 48, 31, 38, 77, 45,
             27, 40, 30, 45, 77, 45, 46, 44, 31, 46, 29, 34,
             77, 32, 27, 44, 77, 27, 49, 27, 51, 79, 77, 77,
             77, 77, 77, 77, 77, 77]]			),
         torch.tensor([[0, 0, 0, 1069, 11, -1, -1, -1, -1]]			),
         torch.tensor([[0, 0, 0, 1069, 11, -1, -1, -1, -1]]			),
     ]
     # fmt: on
     self.assertTrue(torch.allclose(tokens[0]				,EXPECTED_OUTPUT[0]			)			)
     self.assertTrue(torch.allclose(tokens[1]				,EXPECTED_OUTPUT[1]			)			)
     self.assertTrue(torch.allclose(tokens[2]				,EXPECTED_OUTPUT[2]			)			)





"""simple docstring"""



from __future__ import annotations

import queue





class 				a			:



      def __init__(   self     ,	UpperCamelCase_      ):
          UpperCAmelCase__	:      int     							=					data
          UpperCAmelCase__	:      Dict     							=					None
          UpperCAmelCase__	:      Optional[int]     							=					None




def 					lowerCamelCase   (     ):
    print('\n********Press N to stop entering at any point of time********\n' )
    UpperCAmelCase__	:      int     							=					input('Enter the value of the root node: ' ).strip().lower()
    UpperCAmelCase__	:      queue.Queue     							=					queue.Queue()
    UpperCAmelCase__	:      Dict     							=					TreeNode(int(_snake_case ) )
    q.put(_snake_case )
    while not q.empty():
        UpperCAmelCase__	:      Tuple     							=					q.get()
        UpperCAmelCase__	:      List[Any]     							=					F'''Enter the left node of {node_found.data}: '''
        UpperCAmelCase__	:      Dict     							=					input(_snake_case ).strip().lower() or 'n'
        if check == "n":
            return tree_node
        UpperCAmelCase__	:      Optional[int]     							=					TreeNode(int(_snake_case ) )
        UpperCAmelCase__	:      Tuple     							=					left_node
        q.put(_snake_case )
        UpperCAmelCase__	:      int     							=					F'''Enter the right node of {node_found.data}: '''
        UpperCAmelCase__	:      int     							=					input(_snake_case ).strip().lower() or 'n'
        if check == "n":
            return tree_node
        UpperCAmelCase__	:      int     							=					TreeNode(int(_snake_case ) )
        UpperCAmelCase__	:      Any     							=					right_node
        q.put(_snake_case )
    raise
def 					lowerCamelCase   (     _snake_case ):
    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 ):
    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 ):
    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 ):
    if not isinstance(_snake_case    ,_snake_case ) or not node:
        return
    UpperCAmelCase__	:      queue.Queue     							=					queue.Queue()
    q.put(_snake_case )
    while not q.empty():
        UpperCAmelCase__	:      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 					lowerCamelCase   (     _snake_case ):
    if not isinstance(_snake_case    ,_snake_case ) or not node:
        return
    UpperCAmelCase__	:      queue.Queue     							=					queue.Queue()
    q.put(_snake_case )
    while not q.empty():
        UpperCAmelCase__	:      Optional[Any]     							=					[]
        while not q.empty():
            UpperCAmelCase__	:      Union[str, 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(_snake_case )
def 					lowerCamelCase   (     _snake_case ):
    if not isinstance(_snake_case    ,_snake_case ) or not node:
        return
    UpperCAmelCase__	:      list[TreeNode]     							=					[]
    UpperCAmelCase__	:      Optional[int]     							=					node
    while n or stack:
        while n:  # start from root node, find its left child
            print(n.data    ,end=',' )
            stack.append(_snake_case )
            UpperCAmelCase__	:      Optional[int]     							=					n.left
        # end of while means current node doesn't have left child
        UpperCAmelCase__	:      Union[str, Any]     							=					stack.pop()
        # start to traverse its right child
        UpperCAmelCase__	:      Dict     							=					n.right
def 					lowerCamelCase   (     _snake_case ):
    if not isinstance(_snake_case    ,_snake_case ) or not node:
        return
    UpperCAmelCase__	:      list[TreeNode]     							=					[]
    UpperCAmelCase__	:      Optional[Any]     							=					node
    while n or stack:
        while n:
            stack.append(_snake_case )
            UpperCAmelCase__	:      int     							=					n.left
        UpperCAmelCase__	:      Tuple     							=					stack.pop()
        print(n.data    ,end=',' )
        UpperCAmelCase__	:      Tuple     							=					n.right
def 					lowerCamelCase   (     _snake_case ):
    if not isinstance(_snake_case    ,_snake_case ) or not node:
        return
    UpperCAmelCase__							,							UpperCAmelCase__	:      str     							=					[], []
    UpperCAmelCase__	:      Union[str, Any]     							=					node
    stacka.append(_snake_case )
    while stacka:  # to find the reversed order of post order, store it in stack2
        UpperCAmelCase__	:      Tuple     							=					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 = ""    ,_snake_case=50    ,_snake_case="*" ):
    if not s:
        return "\n" + width * char
    UpperCAmelCase__							,							UpperCAmelCase__	:      str     							=					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'))

    UpperCamelCase__          =	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())

