




"""simple docstring"""





from __future__ import annotations

import queue



class      a__				:


			def __init__(      self      :    int      ,  UpperCamelCase_      :    Optional[Any]):


						"""simple docstring"""




						__UpperCAmelCase	: Optional[Any]		=					data
						__UpperCAmelCase	: int		=					None
						__UpperCAmelCase	: Dict		=					None






def 					_UpperCamelCase    (			)			->			TreeNode:


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

def 					_UpperCamelCase    (			UpperCamelCase							)			->			None:


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

def 					_UpperCamelCase    (			UpperCamelCase							)			->			None:


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

def 					_UpperCamelCase    (			UpperCamelCase							)			->			None:


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

def 					_UpperCamelCase    (			UpperCamelCase							)			->			None:


			"""simple docstring"""
			if not isinstance(UpperCamelCase				,       UpperCamelCase							) or not node:
						return
			__UpperCAmelCase	: queue.Queue		=					queue.Queue()
			q.put(UpperCamelCase							)
			while not q.empty():
						__UpperCAmelCase	: Union[str, Any]		=					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    (			UpperCamelCase							)			->			None:


			"""simple docstring"""
			if not isinstance(UpperCamelCase				,       UpperCamelCase							) or not node:
						return
			__UpperCAmelCase	: queue.Queue		=					queue.Queue()
			q.put(UpperCamelCase							)
			while not q.empty():
						__UpperCAmelCase	: Tuple		=					[]
						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(UpperCamelCase							)

def 					_UpperCamelCase    (			UpperCamelCase							)			->			None:


			"""simple docstring"""
			if not isinstance(UpperCamelCase				,       UpperCamelCase							) or not node:
						return
			__UpperCAmelCase	: list[TreeNode]		=					[]
			__UpperCAmelCase	: int		=					node
			while n or stack:
						while n:  # start from root node, find its left child
									print(n.data				,       end=","							)
									stack.append(UpperCamelCase							)
									__UpperCAmelCase	: List[Any]		=					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	: Any		=					n.right

def 					_UpperCamelCase    (			UpperCamelCase							)			->			None:


			"""simple docstring"""
			if not isinstance(UpperCamelCase				,       UpperCamelCase							) or not node:
						return
			__UpperCAmelCase	: list[TreeNode]		=					[]
			__UpperCAmelCase	: List[Any]		=					node
			while n or stack:
						while n:
									stack.append(UpperCamelCase							)
									__UpperCAmelCase	: Tuple		=					n.left
						__UpperCAmelCase	: Tuple		=					stack.pop()
						print(n.data				,       end=","							)
						__UpperCAmelCase	: Optional[Any]		=					n.right

def 					_UpperCamelCase    (			UpperCamelCase							)			->			None:


			"""simple docstring"""
			if not isinstance(UpperCamelCase				,       UpperCamelCase							) or not node:
						return
			__UpperCAmelCase	,     __UpperCAmelCase	: Optional[int]		=					[], []
			__UpperCAmelCase	: Union[str, Any]		=					node
			stacka.append(UpperCamelCase							)
			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(UpperCamelCase							)
			while stacka:  # pop up from stack2 will be the post order
						print(stacka.pop().data				,       end=","							)

def 					_UpperCamelCase    (			UpperCamelCase = ""				,       UpperCamelCase=50				,       UpperCamelCase="*"							)			->			str:


			"""simple docstring"""
			if not s:
						return "\n" + width * char
			__UpperCAmelCase	,     __UpperCAmelCase	: int		=					divmod(width - len(UpperCamelCase							) - 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())








"""simple docstring"""





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      a__				(	unittest.TestCase   ):


			def       a_     (      self      :    Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase	: Union[str, Any]		=					"ylacombe/bark-small"
						__UpperCAmelCase	: Any		=					tempfile.mkdtemp()
						__UpperCAmelCase	: List[str]		=					"en_speaker_1"
						__UpperCAmelCase	: List[Any]		=					"This is a test string"
						__UpperCAmelCase	: List[str]		=					"speaker_embeddings_path.json"
						__UpperCAmelCase	: Tuple		=					"speaker_embeddings"


			def       a_     (      self      :    Optional[int]      ,  **UpperCamelCase_      :    Optional[int]):


						"""simple docstring"""




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


			def       a_     (      self      :    Dict):


						"""simple docstring"""




						shutil.rmtree(self.tmpdirname)


			def       a_     (      self      :    int):


						"""simple docstring"""




						__UpperCAmelCase	: Optional[Any]		=					self.get_tokenizer()

						__UpperCAmelCase	: Optional[Any]		=					BarkProcessor(tokenizer=UpperCamelCase_)

						processor.save_pretrained(self.tmpdirname)
						__UpperCAmelCase	: Optional[int]		=					BarkProcessor.from_pretrained(self.tmpdirname)

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


			@slow
			def       a_     (      self      :    Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase	: str		=					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	: Optional[Any]		=					self.get_tokenizer(bos_token="(BOS)"      ,  eos_token="(EOS)")

						__UpperCAmelCase	: Optional[Any]		=					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       a_     (      self      :    Union[str, Any]):


						"""simple docstring"""




						__UpperCAmelCase	: List[Any]		=					BarkProcessor.from_pretrained(
						    pretrained_processor_name_or_path=self.checkpoint      ,  speaker_embeddings_dict_path=self.speaker_embeddings_dict_path      ,  )

						__UpperCAmelCase	: Optional[int]		=					35
						__UpperCAmelCase	: Union[str, Any]		=					2
						__UpperCAmelCase	: List[Any]		=					8

						__UpperCAmelCase	: str		=					{
						    "semantic_prompt": np.ones(UpperCamelCase_),
						    "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	: Union[str, Any]		=					processor(text=self.input_string      ,  voice_preset=UpperCamelCase_)

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

						# test loading voice preset from npz file
						__UpperCAmelCase	: int		=					os.path.join(self.tmpdirname      ,  "file.npz")
						np.savez(UpperCamelCase_      ,  **UpperCamelCase_)
						__UpperCAmelCase	: List[Any]		=					processor(text=self.input_string      ,  voice_preset=UpperCamelCase_)
						__UpperCAmelCase	: List[str]		=					inputs["history_prompt"]

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

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


			def       a_     (      self      :    Optional[int]):


						"""simple docstring"""




						__UpperCAmelCase	: Tuple		=					self.get_tokenizer()

						__UpperCAmelCase	: Any		=					BarkProcessor(tokenizer=UpperCamelCase_)

						__UpperCAmelCase	: List[Any]		=					processor(text=self.input_string)

						__UpperCAmelCase	: List[Any]		=					tokenizer(
						    self.input_string      ,  padding="max_length"      ,  max_length=256      ,  add_special_tokens=UpperCamelCase_      ,  return_attention_mask=UpperCamelCase_      ,  return_token_type_ids=UpperCamelCase_      ,  )

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


