

import os
import sys
import unittest


_UpperCAmelCase	:     Optional[int]		       = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
_UpperCAmelCase	:     Optional[Any]		       = os.path.join(git_repo_path, """src""", """transformers""")

_UpperCAmelCase	:     str		       = """
{0} = None
"""

_UpperCAmelCase	:     int		       = """
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


_UpperCAmelCase	:     Any		       = """
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""







class 				lowercase       ( unittest.TestCase    ):




				def 					a							(      self ):
											snake_case_           =					find_backend('    _import_structure["models.albert"].append("AlbertTokenizerFast")' )
											self.assertIsNone(snake_case )

											snake_case_           =					find_backend('    if not is_tokenizers_available():' )
											self.assertEqual(snake_case   ,     'tokenizers' )

											snake_case_           =					find_backend('    if not is_tensorflow_text_available():' )
											self.assertEqual(snake_case   ,     'tensorflow_text' )

											snake_case_           =					find_backend('    if not (is_sentencepiece_available() and is_tokenizers_available()):' )
											self.assertEqual(snake_case   ,     'sentencepiece_and_tokenizers' )

											snake_case_           =					find_backend(
											    '    if not (is_sentencepiece_available() and is_tensorflow_text_available()):' )
											self.assertEqual(snake_case   ,     'sentencepiece_and_tensorflow_text' )

											snake_case_           =					find_backend(
											    '    if not (is_sentencepiece_available() and is_tokenizers_available() and is_vision_available()):' )
											self.assertEqual(snake_case   ,     'sentencepiece_and_tokenizers_and_vision' )




				def 					a							(      self ):
											snake_case_           =					read_init()
											# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
											self.assertIn('torch'   ,     snake_case )
											self.assertIn('tensorflow_text'   ,     snake_case )
											self.assertIn('sentencepiece_and_tokenizers'   ,     snake_case )

											# Likewise, we can't assert on the exact content of a key
											self.assertIn('BertModel'   ,     objects['torch'] )
											self.assertIn('TFBertModel'   ,     objects['tf'] )
											self.assertIn('FlaxBertModel'   ,     objects['flax'] )
											self.assertIn('BertModel'   ,     objects['torch'] )
											self.assertIn('TFBertTokenizer'   ,     objects['tensorflow_text'] )
											self.assertIn('convert_slow_tokenizer'   ,     objects['sentencepiece_and_tokenizers'] )




				def 					a							(      self ):
											snake_case_           =					create_dummy_object('CONSTANT'   ,     '\'torch\'' )
											self.assertEqual(snake_case   ,     '\nCONSTANT = None\n' )

											snake_case_           =					create_dummy_object('function'   ,     '\'torch\'' )
											self.assertEqual(
											    snake_case   ,     '\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n' )

											snake_case_           =					'\nclass FakeClass(metaclass=DummyObject):\n    _backends = \'torch\'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, \'torch\')\n'
											snake_case_           =					create_dummy_object('FakeClass'   ,     '\'torch\'' )
											self.assertEqual(snake_case   ,     snake_case )




				def 					a							(      self ):
											snake_case_           =					'# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, ["torch"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = ["torch"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, ["torch"])\n'
											snake_case_           =					create_dummy_files({'torch': ['CONSTANT', 'function', 'FakeClass']} )
											self.assertEqual(dummy_files['torch']   ,     snake_case )







from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any







@dataclass
class 				lowercase       :
				__SCREAMING_SNAKE_CASE      :				int
				__SCREAMING_SNAKE_CASE      :				Node | None     =    None
				__SCREAMING_SNAKE_CASE      :				Node | None     =    None





def       __lowerCamelCase			(				):







							'''simple docstring'''






							snake_case_           =					Node(1   )
							snake_case_           =					Node(2   )
							snake_case_           =					Node(3   )
							snake_case_           =					Node(4   )
							snake_case_           =					Node(5   )
							return tree





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






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





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






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





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






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





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






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





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							if root is None:
														return output

							snake_case_           =					deque([root]   )

							while process_queue:
														snake_case_           =					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       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							def populate_output(UpperCamelCase__     ,							UpperCamelCase__   ) -> 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(UpperCamelCase__     ,							UpperCamelCase__   )
							return output





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							def populate_output(UpperCamelCase__     ,							UpperCamelCase__   ) -> 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(UpperCamelCase__     ,							UpperCamelCase__   )
							return output





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							if root is None:
														return []

							snake_case_           =					[]

							snake_case_           =					0
							snake_case_           =					height(UpperCamelCase__   )

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

							return output





def       __lowerCamelCase			(				):  # Main function for testing.







							'''simple docstring'''






							snake_case_           =					make_tree()
							print(F'''In-order Traversal: {inorder(UpperCamelCase__   )}'''   )
							print(F'''Pre-order Traversal: {preorder(UpperCamelCase__   )}'''   )
							print(F'''Post-order Traversal: {postorder(UpperCamelCase__   )}'''     ,							'\n'   )

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

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

							print('Level-wise order Traversal: '   )

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

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


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()




