
from __future__ import annotations

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







@dataclass
class 			__A:
				snake_case_						   =    42
				snake_case_						   =    None
				snake_case_						   =    None



def     __lowerCAmelCase			(			)       ->  Node | None:
				__a										=    Node(1  )
				__a										=    Node(2  )
				__a										=    Node(3  )
				__a										=    Node(4  )
				__a										=    Node(5  )
				return tree


def     __lowerCAmelCase			(			a__  )       ->  list[int]:
				return [root.data, *preorder(root.left  ), *preorder(root.right  )] if root else []


def     __lowerCAmelCase			(			a__  )       ->  list[int]:
				return postorder(root.left  ) + postorder(root.right  ) + [root.data] if root else []


def     __lowerCAmelCase			(			a__  )       ->  list[int]:
				return [*inorder(root.left  ), root.data, *inorder(root.right  )] if root else []


def     __lowerCAmelCase			(			a__  )       ->  int:
				return (max(height(root.left  )						,    height(root.right  )  ) + 1) if root else 0


def     __lowerCAmelCase			(			a__  )       ->  Sequence[Node | None]:
				__a										=    []

				if root is None:
								return output

				__a										=    deque([root]  )

				while process_queue:
								__a										=    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			(			a__						,    a__  )       ->  Sequence[Node | None]:
				__a										=    []

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


def     __lowerCAmelCase			(			a__						,    a__  )       ->  Sequence[Node | None]:
				__a										=    []

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


def     __lowerCAmelCase			(			a__  )       ->  Sequence[Node | None] | list[Any]:
				if root is None:
								return []

				__a										=    []

				__a										=    0
				__a										=    height(a__  )

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

				return output


def     __lowerCAmelCase			(			)       ->  None:  # Main function for testing.
				__a										=    make_tree()
				print(F"""In-order Traversal: {inorder(a__  )}"""  )
				print(F"""Pre-order Traversal: {preorder(a__  )}"""  )
				print(F"""Post-order Traversal: {postorder(a__  )}"""						,    '''\n'''  )

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

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

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

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

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


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()

import html

from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends


if is_bsa_available():
					import bsa
					from bsa import BeautifulSoup


A     :	str    = logging.get_logger(__name__)







class 			__A( a			):




				def __init__(     self		,     **_snake_case				)    ->      List[Any]:


								'''simple docstring'''




								requires_backends(self		,     ['''bs4''']				)
								super().__init__(**_snake_case				)




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      int:


								'''simple docstring'''




								__a										=    []
								__a										=    []
								__a										=    element if element.name else element.parent
								for parent in child.parents:  # type: bs4.element.Tag
												__a										=    parent.find_all(child.name		,     recursive=_snake_case				)
												xpath_tags.append(child.name				)
												xpath_subscripts.append(
												    0 if 1 == len(_snake_case				) else next(i for i, s in enumerate(_snake_case		,     1				) if s is child				)				)
												__a										=    parent
								xpath_tags.reverse()
								xpath_subscripts.reverse()
								return xpath_tags, xpath_subscripts




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      Optional[int]:


								'''simple docstring'''




								__a										=    BeautifulSoup(_snake_case		,     '''html.parser'''				)

								__a										=    []
								__a										=    []
								__a										=    []

								for element in html_code.descendants:
												if type(_snake_case				) == bsa.element.NavigableString:
																if type(element.parent				) != bsa.element.Tag:
																				continue

																__a										=    html.unescape(_snake_case				).strip()
																if not text_in_this_tag:
																				continue

																all_doc_strings.append(_snake_case				)

																__a							,     __a										=    self.xpath_soup(_snake_case				)
																stringaxtag_seq.append(_snake_case				)
																stringaxsubs_seq.append(_snake_case				)

								if len(_snake_case				) != len(_snake_case				):
												raise ValueError('''Number of doc strings and xtags does not correspond'''				)
								if len(_snake_case				) != len(_snake_case				):
												raise ValueError('''Number of doc strings and xsubs does not correspond'''				)

								return all_doc_strings, stringaxtag_seq, stringaxsubs_seq




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     _snake_case				)    ->      Optional[int]:


								'''simple docstring'''




								__a										=    ''''''
								for tagname, subs in zip(_snake_case		,     _snake_case				):
												xpath += F"""/{tagname}"""
												if subs != 0:
																xpath += F"""[{subs}]"""
								return xpath




				def __call__(     self		,     _snake_case				)    ->      BatchFeature:


								'''simple docstring'''




								__a										=    False

								# Check that strings has a valid type
								if isinstance(_snake_case		,     _snake_case				):
												__a										=    True
								elif isinstance(_snake_case		,     (list, tuple)				):
												if len(_snake_case				) == 0 or isinstance(html_strings[0]		,     _snake_case				):
																__a										=    True

								if not valid_strings:
												raise ValueError(
												    '''HTML strings must of type `str`, `List[str]` (batch of examples), '''
												    F"""but is of type {type(_snake_case				)}."""				)

								__a										=    bool(isinstance(_snake_case		,     (list, tuple)				) and (isinstance(html_strings[0]		,     _snake_case				))				)

								if not is_batched:
												__a										=    [html_strings]

								# Get nodes + xpaths
								__a										=    []
								__a										=    []
								for html_string in html_strings:
												__a							,     __a							,     __a										=    self.get_three_from_single(_snake_case				)
												nodes.append(_snake_case				)
												__a										=    []
												for node, tag_list, sub_list in zip(_snake_case		,     _snake_case		,     _snake_case				):
																__a										=    self.construct_xpath(_snake_case		,     _snake_case				)
																xpath_strings.append(_snake_case				)
												xpaths.append(_snake_case				)

								# return as Dict
								__a										=    {'''nodes''': nodes, '''xpaths''': xpaths}
								__a										=    BatchFeature(data=_snake_case		,     tensor_type=_snake_case				)

								return encoded_inputs