






import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				def __init__(  self		:					int,						lowerCamelCase		:					str = "▁",						lowerCamelCase		:					bool = True,						lowerCamelCase		:					Union[str, AddedToken] = "<unk>",						lowerCamelCase		:					Union[str, AddedToken] = "</s>",						lowerCamelCase		:					Union[str, AddedToken] = "<pad>",						):

								'''simple docstring'''
								lowercase__     				=    {
								    '''pad''': {'''id''': 0, '''token''': pad_token},
								    '''eos''': {'''id''': 1, '''token''': eos_token},
								    '''unk''': {'''id''': 2, '''token''': unk_token},
								}

								lowercase__     				=    [None] * len(self.special_tokens						)
								for token_dict in self.special_tokens.values():
												lowercase__     				=    token_dict['''token''']

								lowercase__     				=    Tokenizer(Unigram()						)

								lowercase__     				=    normalizers.Sequence(
								    [
								        normalizers.Nmt(),
								        normalizers.NFKC(),
								        normalizers.Replace(Regex(''' {2,}'''						),						''' '''						),
								        normalizers.Lowercase(),
								    ]						)
								lowercase__     				=    pre_tokenizers.Sequence(
								    [
								        pre_tokenizers.Metaspace(replacement=lowerCamelCase,						add_prefix_space=lowerCamelCase						),
								        pre_tokenizers.Digits(individual_digits=lowerCamelCase						),
								        pre_tokenizers.Punctuation(),
								    ]						)
								lowercase__     				=    decoders.Metaspace(replacement=lowerCamelCase,						add_prefix_space=lowerCamelCase						)

								lowercase__     				=    TemplateProcessing(
								    single=F"""$A {self.special_tokens['eos']['token']}""",						special_tokens=[(self.special_tokens['''eos''']['''token'''], self.special_tokens['''eos''']['''id'''])],						)

								lowercase__     				=    {
								    '''model''': '''SentencePieceUnigram''',
								    '''replacement''': replacement,
								    '''add_prefix_space''': add_prefix_space,
								}

								super().__init__(lowerCamelCase,						lowerCamelCase						)




				def        lowercase__     (  self		:					Any,						lowerCamelCase		:					Union[str, List[str]],						lowerCamelCase		:					int = 8_000,						lowerCamelCase		:					bool = True,						):

								'''simple docstring'''
								lowercase__     				=    trainers.UnigramTrainer(
								    vocab_size=lowerCamelCase,						special_tokens=self.special_tokens_list,						show_progress=lowerCamelCase,						)

								if isinstance(lowerCamelCase,						lowerCamelCase						):
												lowercase__     				=    [files]
								self._tokenizer.train(lowerCamelCase,						trainer=lowerCamelCase						)

								self.add_unk_id()




				def        lowercase__     (  self		:					Any,						lowerCamelCase		:					Union[Iterator[str], Iterator[Iterator[str]]],						lowerCamelCase		:					int = 8_000,						lowerCamelCase		:					bool = True,						):

								'''simple docstring'''
								lowercase__     				=    trainers.UnigramTrainer(
								    vocab_size=lowerCamelCase,						special_tokens=self.special_tokens_list,						show_progress=lowerCamelCase,						)

								self._tokenizer.train_from_iterator(lowerCamelCase,						trainer=lowerCamelCase						)

								self.add_unk_id()




				def        lowercase__     (  self		:					Dict						):

								'''simple docstring'''
								lowercase__     				=    json.loads(self._tokenizer.to_str()						)

								lowercase__     				=    self.special_tokens['''unk''']['''id''']

								lowercase__     				=    Tokenizer.from_str(json.dumps(lowerCamelCase						)						)












from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any
@dataclass
class    _UpperCAmelCase      :

				"""simple docstring"""




				lowercase__       							= 42
				lowercase__       							= None
				lowercase__       							= None






def 						a    (		):






				'''simple docstring'''
				lowercase__     				=    Node(1       )
				lowercase__     				=    Node(2       )
				lowercase__     				=    Node(3       )
				lowercase__     				=    Node(4       )
				lowercase__     				=    Node(5       )
				return tree






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return [root.data, *preorder(root.left       ), *preorder(root.right       )] if root else []






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return postorder(root.left       ) + postorder(root.right       ) + [root.data] if root else []






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return [*inorder(root.left       ), root.data, *inorder(root.right       )] if root else []






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				return (max(height(root.left       )	,     height(root.right       )       ) + 1) if root else 0






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    []

				if root is None:
								return output

				lowercase__     				=    deque([root]       )

				while process_queue:
								lowercase__     				=    process_queue.popleft()
								output.append(node.data       )

								if node.left:
												process_queue.append(node.left       )
								if node.right:
												process_queue.append(node.right       )
				return output






def 						a    (		lowerCamelCase_	,     lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    []

				def populate_output(lowerCamelCase_	,     lowerCamelCase_       ) -> None:
								if not root:
												return
								if level == 1:
												output.append(root.data       )
								elif level > 1:
												populate_output(root.left	,     level - 1       )
												populate_output(root.right	,     level - 1       )

				populate_output(lowerCamelCase_	,     lowerCamelCase_       )
				return output






def 						a    (		lowerCamelCase_	,     lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    []

				def populate_output(lowerCamelCase_	,     lowerCamelCase_       ) -> None:
								if root is None:
												return
								if level == 1:
												output.append(root.data       )
								elif level > 1:
												populate_output(root.right	,     level - 1       )
												populate_output(root.left	,     level - 1       )

				populate_output(lowerCamelCase_	,     lowerCamelCase_       )
				return output






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				if root is None:
								return []

				lowercase__     				=    []

				lowercase__     				=    0
				lowercase__     				=    height(lowerCamelCase_       )

				for h in range(1	,     height_tree + 1       ):
								if not flag:
												output.append(get_nodes_from_left_to_right(lowerCamelCase_	,     lowerCamelCase_       )       )
												lowercase__     				=    1
								else:
												output.append(get_nodes_from_right_to_left(lowerCamelCase_	,     lowerCamelCase_       )       )
												lowercase__     				=    0

				return output






def 						a    (		):  # Main function for testing.






				'''simple docstring'''
				lowercase__     				=    make_tree()
				print(F"""In-order Traversal: {inorder(lowerCamelCase_       )}"""       )
				print(F"""Pre-order Traversal: {preorder(lowerCamelCase_       )}"""       )
				print(F"""Post-order Traversal: {postorder(lowerCamelCase_       )}"""	,     '''\n'''       )

				print(F"""Height of Tree: {height(lowerCamelCase_       )}"""	,     '''\n'''       )

				print('''Complete Level Order Traversal: '''       )
				print(level_order(lowerCamelCase_       )	,     '''\n'''       )

				print('''Level-wise order Traversal: '''       )

				for level in range(1	,     height(lowerCamelCase_       ) + 1       ):
								print(F"""Level {level}:"""	,     get_nodes_from_left_to_right(lowerCamelCase_	,     level=lowerCamelCase_       )       )

				print('''\nZigZag order Traversal: '''       )
				print(zigzag(lowerCamelCase_       )       )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()




