

from __future__ import annotations

import queue


class     lowercase__  :






  def __init__(					self      :					Tuple		,						_lowercase      :					int ):




         """simple docstring"""







         UpperCAmelCase__										=     data
         UpperCAmelCase__										=     None
         UpperCAmelCase__										=     None





def __UpperCAmelCase       (		)						->					TreeNode:



       '''simple docstring'''





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





def __UpperCAmelCase       (		__A			)						->					None:



       '''simple docstring'''





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





def __UpperCAmelCase       (		__A			)						->					None:



       '''simple docstring'''





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





def __UpperCAmelCase       (		__A			)						->					None:



       '''simple docstring'''





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





def __UpperCAmelCase       (		__A			)						->					None:



       '''simple docstring'''





       if not isinstance(__A ,						__A			) or not node:
              return
       UpperCAmelCase__										=     queue.Queue()
       q.put(__A			)
       while not q.empty():
              UpperCAmelCase__										=     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       (		__A			)						->					None:



       '''simple docstring'''





       if not isinstance(__A ,						__A			) or not node:
              return
       UpperCAmelCase__										=     queue.Queue()
       q.put(__A			)
       while not q.empty():
              UpperCAmelCase__										=     []
              while not q.empty():
                     UpperCAmelCase__										=     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 __UpperCAmelCase       (		__A			)						->					None:



       '''simple docstring'''





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





def __UpperCAmelCase       (		__A			)						->					None:



       '''simple docstring'''





       if not isinstance(__A ,						__A			) or not node:
              return
       UpperCAmelCase__										=     []
       UpperCAmelCase__										=     node
       while n or stack:
              while n:
                     stack.append(__A			)
                     UpperCAmelCase__										=     n.left
              UpperCAmelCase__										=     stack.pop()
              print(n.data ,						end=","			)
              UpperCAmelCase__										=     n.right





def __UpperCAmelCase       (		__A			)						->					None:



       '''simple docstring'''





       if not isinstance(__A ,						__A			) or not node:
              return
       UpperCAmelCase__										=     [], []
       UpperCAmelCase__										=     node
       stacka.append(__A			)
       while stacka:  # to find the reversed order of post order, store it in stack2
              UpperCAmelCase__										=     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 __UpperCAmelCase       (		__A = "" ,						__A=5_0 ,						__A="*"			)						->					str:



       '''simple docstring'''





       if not s:
              return "\n" + width * char
       UpperCAmelCase__										=     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"))

    A      = 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())









import os
import shutil
import tempfile
import unittest

import numpy as np

from transformers import AutoTokenizer, BarkProcessor
from transformers.testing_utils import require_torch, slow


@require_torch
class     lowercase__  (					unittest.TestCase		):






  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     "ylacombe/bark-small"
         UpperCAmelCase__										=     tempfile.mkdtemp()
         UpperCAmelCase__										=     "en_speaker_1"
         UpperCAmelCase__										=     "This is a test string"
         UpperCAmelCase__										=     "speaker_embeddings_path.json"
         UpperCAmelCase__										=     "speaker_embeddings"






  def 			_UpperCAmelCase  (					self      :					List[str]		,						**_lowercase      :					str ):




         """simple docstring"""







         return AutoTokenizer.from_pretrained(self.checkpoint		,						**_lowercase )






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         shutil.rmtree(self.tmpdirname )






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizer()

         UpperCAmelCase__										=     BarkProcessor(tokenizer=_lowercase )

         processor.save_pretrained(self.tmpdirname )
         UpperCAmelCase__										=     BarkProcessor.from_pretrained(self.tmpdirname )

         self.assertEqual(processor.tokenizer.get_vocab()		,						tokenizer.get_vocab() )






  @slow
  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     BarkProcessor.from_pretrained(
             pretrained_processor_name_or_path=self.checkpoint		,						speaker_embeddings_dict_path=self.speaker_embeddings_dict_path		,						)
         processor.save_pretrained(
             self.tmpdirname		,						speaker_embeddings_dict_path=self.speaker_embeddings_dict_path		,						speaker_embeddings_directory=self.speaker_embeddings_directory		,						)

         UpperCAmelCase__										=     self.get_tokenizer(bos_token="(BOS)"		,						eos_token="(EOS)" )

         UpperCAmelCase__										=     BarkProcessor.from_pretrained(
             self.tmpdirname		,						self.speaker_embeddings_dict_path		,						bos_token="(BOS)"		,						eos_token="(EOS)"		,						)

         self.assertEqual(processor.tokenizer.get_vocab()		,						tokenizer_add_kwargs.get_vocab() )






  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     BarkProcessor.from_pretrained(
             pretrained_processor_name_or_path=self.checkpoint		,						speaker_embeddings_dict_path=self.speaker_embeddings_dict_path		,						)

         UpperCAmelCase__										=     35
         UpperCAmelCase__										=     2
         UpperCAmelCase__										=     8

         UpperCAmelCase__										=     {
             "semantic_prompt": np.ones(_lowercase ),
             "coarse_prompt": np.ones((nb_codebooks_coarse, seq_len) ),
             "fine_prompt": np.ones((nb_codebooks_total, seq_len) ),
         }

         # test providing already loaded voice_preset
         UpperCAmelCase__										=     processor(text=self.input_string		,						voice_preset=_lowercase )

         UpperCAmelCase__										=     inputs["history_prompt"]
         for key in voice_preset:
                self.assertListEqual(voice_preset[key].tolist()		,						processed_voice_preset.get(_lowercase		,						np.array([] ) ).tolist() )

         # test loading voice preset from npz file
         UpperCAmelCase__										=     os.path.join(self.tmpdirname		,						"file.npz" )
         np.savez(_lowercase		,						**_lowercase )
         UpperCAmelCase__										=     processor(text=self.input_string		,						voice_preset=_lowercase )
         UpperCAmelCase__										=     inputs["history_prompt"]

         for key in voice_preset:
                self.assertListEqual(voice_preset[key].tolist()		,						processed_voice_preset.get(_lowercase		,						np.array([] ) ).tolist() )

         # test loading voice preset from the hub
         UpperCAmelCase__										=     processor(text=self.input_string		,						voice_preset=self.voice_preset )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizer()

         UpperCAmelCase__										=     BarkProcessor(tokenizer=_lowercase )

         UpperCAmelCase__										=     processor(text=self.input_string )

         UpperCAmelCase__										=     tokenizer(
             self.input_string		,						padding="max_length"		,						max_length=2_56		,						add_special_tokens=_lowercase		,						return_attention_mask=_lowercase		,						return_token_type_ids=_lowercase		,						)

         for key in encoded_tok.keys():
                self.assertListEqual(encoded_tok[key]		,						encoded_processor[key].squeeze().tolist() )





