



from __future__ import annotations

import queue



class 							lowerCAmelCase_						:
       def __init__(     self,     SCREAMING_SNAKE_CASE_			)	->						Optional[int]:
          UpperCamelCase       :    Optional[Any]		      =      data
          UpperCamelCase       :    Any		      =      None
          UpperCamelCase       :    List[Any]		      =      None






def 						UpperCamelCase      (  )      ->	TreeNode:
   print('\n********Press N to stop entering at any point of time********\n'      )
   UpperCamelCase       :    Optional[int]		      =      input('Enter the value of the root node: '      ).strip().lower()
   UpperCamelCase       :    queue.Queue		      =      queue.Queue()
   UpperCamelCase       :    int		      =      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       :    List[Any]		      =      input(snake_case__      ).strip().lower() or 'n'
      if check == "n":
         return tree_node
      UpperCamelCase       :    Dict		      =      TreeNode(int(snake_case__      )      )
      UpperCamelCase       :    Any		      =      left_node
      q.put(snake_case__      )
      UpperCamelCase       :    List[Any]		      =      F"""Enter the right node of {node_found.data}: """
      UpperCamelCase       :    Optional[Any]		      =      input(snake_case__      ).strip().lower() or 'n'
      if check == "n":
         return tree_node
      UpperCamelCase       :    Tuple		      =      TreeNode(int(snake_case__      )      )
      UpperCamelCase       :    str		      =      right_node
      q.put(snake_case__      )
   raise
def 						UpperCamelCase      (  snake_case__			:       TreeNode      )      ->	None:
   if not isinstance(snake_case__			,	snake_case__      ) or not node:
      return
   print(node.data			,	end=','      )
   pre_order(node.left      )
   pre_order(node.right      )
def 						UpperCamelCase      (  snake_case__			:       TreeNode      )      ->	None:
   if not isinstance(snake_case__			,	snake_case__      ) or not node:
      return
   in_order(node.left      )
   print(node.data			,	end=','      )
   in_order(node.right      )
def 						UpperCamelCase      (  snake_case__			:       TreeNode      )      ->	None:
   if not isinstance(snake_case__			,	snake_case__      ) or not node:
      return
   post_order(node.left      )
   post_order(node.right      )
   print(node.data			,	end=','      )
def 						UpperCamelCase      (  snake_case__			:       TreeNode      )      ->	None:
   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       :    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 						UpperCamelCase      (  snake_case__			:       TreeNode      )      ->	None:
   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       :    str		      =      []
      while not q.empty():
         UpperCamelCase       :    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(snake_case__      )
def 						UpperCamelCase      (  snake_case__			:       TreeNode      )      ->	None:
   if not isinstance(snake_case__			,	snake_case__      ) or not node:
      return
   UpperCamelCase       :    list[TreeNode]		      =      []
   UpperCamelCase       :    Dict		      =      node
   while n or stack:
      while n:  # start from root node, find its left child
         print(n.data			,	end=','      )
         stack.append(snake_case__      )
         UpperCamelCase       :    List[str]		      =      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       :    int		      =      n.right
def 						UpperCamelCase      (  snake_case__			:       TreeNode      )      ->	None:
   if not isinstance(snake_case__			,	snake_case__      ) or not node:
      return
   UpperCamelCase       :    list[TreeNode]		      =      []
   UpperCamelCase       :    Tuple		      =      node
   while n or stack:
      while n:
         stack.append(snake_case__      )
         UpperCamelCase       :    List[Any]		      =      n.left
      UpperCamelCase       :    int		      =      stack.pop()
      print(n.data			,	end=','      )
      UpperCamelCase       :    Optional[Any]		      =      n.right
def 						UpperCamelCase      (  snake_case__			:       TreeNode      )      ->	None:
   if not isinstance(snake_case__			,	snake_case__      ) or not node:
      return
   UpperCamelCase      ,	UpperCamelCase       :    Optional[int]		      =      [], []
   UpperCamelCase       :    List[str]		      =      node
   stacka.append(snake_case__      )
   while stacka:  # to find the reversed order of post order, store it in stack2
      UpperCamelCase       :    Optional[Any]		      =      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 						UpperCamelCase      (  snake_case__			:       str = ""			,	snake_case__			:       List[str]=50			,	snake_case__			:       List[Any]="*"      )      ->	str:
   if not s:
      return "\n" + width * char
   UpperCamelCase      ,	UpperCamelCase       :    Union[str, Any]		      =      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())







'''simple docstring'''


import unittest

from transformers import CamembertTokenizer, CamembertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


_UpperCamelCase 							=  get_tests_dir("""fixtures/test_sentencepiece.model""")
_UpperCamelCase 							=  get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")

_UpperCamelCase 							=  """pt""" if is_torch_available() else """tf"""







@require_sentencepiece
@require_tokenizers
class 							__magic_name__	(       lowerCAmelCase    ,		unittest.TestCase ):

     """simple docstring"""






     lowerCamelCase__       						=				CamembertTokenizer
     lowerCamelCase__       						=				CamembertTokenizerFast
     lowerCamelCase__       						=				True
     lowerCamelCase__       						=				True


     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          super().setUp()

          # We have a SentencePiece fixture for testing
          __A	:       List[Any]      =							CamembertTokenizer(lowerCamelCase		)
          tokenizer.save_pretrained(self.tmpdirname		)


     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          __A	:       Optional[Any]      =							"<pad>"
          __A	:       Union[str, Any]      =							1

          self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase		)			,     lowerCamelCase		)
          self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase		)			,     lowerCamelCase		)


     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          __A	:       Union[str, Any]      =							list(self.get_tokenizer().get_vocab().keys()		)

          self.assertEqual(vocab_keys[0]			,     "<s>NOTUSED"		)
          self.assertEqual(vocab_keys[1]			,     "<pad>"		)
          self.assertEqual(vocab_keys[-1]			,     "<mask>"		)
          self.assertEqual(len(lowerCamelCase		)			,     1004		)


     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          self.assertEqual(self.get_tokenizer().vocab_size			,     1005		)


     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          __A	:       Optional[Any]      =							CamembertTokenizer(lowerCamelCase		)
          tokenizer.save_pretrained(self.tmpdirname		)
          __A	:       Optional[int]      =							CamembertTokenizerFast.from_pretrained(self.tmpdirname		)

          __A	:       str      =							"I was born in 92000, and this is falsé."

          __A	:       List[Any]      =							tokenizer.encode(lowerCamelCase		)
          __A	:       Tuple      =							rust_tokenizer.encode(lowerCamelCase		)
          self.assertListEqual(lowerCamelCase			,     lowerCamelCase		)

          __A	:       Dict      =							tokenizer.encode(lowerCamelCase			,     add_special_tokens=lowerCamelCase		)
          __A	:       str      =							rust_tokenizer.encode(lowerCamelCase			,     add_special_tokens=lowerCamelCase		)
          self.assertListEqual(lowerCamelCase			,     lowerCamelCase		)

          # <unk> tokens are not the same for `rust` than for `slow`.
          # Because spm gives back raw token instead of `unk` in EncodeAsPieces
          # tokens = tokenizer.tokenize(sequence)
          __A	:       int      =							tokenizer.convert_ids_to_tokens(lowerCamelCase		)
          __A	:       Optional[int]      =							rust_tokenizer.tokenize(lowerCamelCase		)
          self.assertListEqual(lowerCamelCase			,     lowerCamelCase		)


     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          if not self.test_rust_tokenizer:
               return

          __A	:       Tuple      =							self.get_tokenizer()
          __A	:       List[Any]      =							self.get_rust_tokenizer()

          __A	:       Any      =							"I was born in 92000, and this is falsé."

          __A	:       int      =							tokenizer.tokenize(lowerCamelCase		)
          __A	:       Any      =							rust_tokenizer.tokenize(lowerCamelCase		)
          self.assertListEqual(lowerCamelCase			,     lowerCamelCase		)

          __A	:       Any      =							tokenizer.encode(lowerCamelCase			,     add_special_tokens=lowerCamelCase		)
          __A	:       Optional[int]      =							rust_tokenizer.encode(lowerCamelCase			,     add_special_tokens=lowerCamelCase		)
          self.assertListEqual(lowerCamelCase			,     lowerCamelCase		)

          __A	:       Union[str, Any]      =							self.get_rust_tokenizer()
          __A	:       Optional[Any]      =							tokenizer.encode(lowerCamelCase		)
          __A	:       Dict      =							rust_tokenizer.encode(lowerCamelCase		)
          self.assertListEqual(lowerCamelCase			,     lowerCamelCase		)


     @slow
     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          __A	:       Any      =							{"input_ids": [[5, 54, 7196, 297, 30, 23, 776, 18, 11, 3215, 3705, 8252, 22, 3164, 1181, 2116, 29, 16, 813, 25, 791, 3314, 20, 3446, 38, 2_7575, 120, 6, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [5, 468, 17, 11, 9088, 20, 1517, 8, 2_2804, 1_8818, 10, 38, 629, 607, 607, 142, 19, 7196, 867, 56, 1_0326, 24, 2267, 20, 416, 5072, 1_5612, 233, 734, 7, 2399, 27, 16, 3015, 1649, 7, 24, 20, 4338, 2399, 27, 13, 3400, 14, 13, 6189, 8, 930, 9, 6]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
          # fmt: on

          # camembert is a french model. So we also use french texts.
          __A	:       int      =							[
              "Le transformeur est un modèle d'apprentissage profond introduit en 2017, "
              "utilisé principalement dans le domaine du traitement automatique des langues (TAL).",
              "À l'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus "
              "pour gérer des données séquentielles, telles que le langage naturel, pour des tâches "
              "telles que la traduction et la synthèse de texte.",
          ]

          self.tokenizer_integration_test_util(
              expected_encoding=lowerCamelCase			,     model_name="camembert-base"			,     revision="3a0641d9a1aeb7e848a74299e7e4c4bca216b4cf"			,     sequences=lowerCamelCase			,     )

