


"""simple docstring"""


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


UpperCamelCase    :					Optional[int]							   =   logging.get_logger(__name__)



class       lowerCamelCase__    ( a__      ):







						def __init__(				self :     Optional[int]      ,      **_lowercase :     List[str]		):
								requires_backends(self      ,      ['bs4']		)
								super().__init__(**lowerCAmelCase__		)







						def __a    (				self :     Optional[Any]      ,      _lowercase :     Any		):
								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=lowerCAmelCase__		)
										xpath_tags.append(child.name		)
										xpath_subscripts.append(
										    0 if 1 == len(lowerCAmelCase__		) else next(i for i, s in enumerate(lowerCAmelCase__      ,      1		) if s is child		)		)
										A       							=			parent
								xpath_tags.reverse()
								xpath_subscripts.reverse()
								return xpath_tags, xpath_subscripts







						def __a    (				self :     Optional[Any]      ,      _lowercase :     List[str]		):
								A       							=			BeautifulSoup(lowerCAmelCase__      ,      'html.parser'		)

								A       							=			[]
								A       							=			[]
								A       							=			[]

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

												A       							=			html.unescape(lowerCAmelCase__		).strip()
												if not text_in_this_tag:
														continue

												all_doc_strings.append(lowerCAmelCase__		)

												A       							=			self.xpath_soup(lowerCAmelCase__		)
												stringaxtag_seq.append(lowerCAmelCase__		)
												stringaxsubs_seq.append(lowerCAmelCase__		)

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

								return all_doc_strings, stringaxtag_seq, stringaxsubs_seq







						def __a    (				self :     Union[str, Any]      ,      _lowercase :     Dict      ,      _lowercase :     str		):
								A       							=			""
								for tagname, subs in zip(lowerCAmelCase__      ,      lowerCAmelCase__		):
										xpath += f'/{tagname}'
										if subs != 0:
												xpath += f'[{subs}]'
								return xpath







						def __call__(				self :     str      ,      _lowercase :     List[str]		):
								A       							=			False

								# Check that strings has a valid type
								if isinstance(lowerCAmelCase__      ,      lowerCAmelCase__		):
										A       							=			True
								elif isinstance(lowerCAmelCase__      ,      (list, tuple)		):
										if len(lowerCAmelCase__		) == 0 or isinstance(html_strings[0]      ,      lowerCAmelCase__		):
												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(lowerCAmelCase__		)}.'		)

								A       							=			bool(isinstance(lowerCAmelCase__      ,      (list, tuple)		) and (isinstance(html_strings[0]      ,      lowerCAmelCase__		))		)

								if not is_batched:
										A       							=			[html_strings]

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

								# return as Dict
								A       							=			{"nodes": nodes, "xpaths": xpaths}
								A       							=			BatchFeature(data=lowerCAmelCase__      ,      tensor_type=lowerCAmelCase__		)

								return encoded_inputs












"""simple docstring"""




import math






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list       ,			_lowercase		:       int = 0       ,			_lowercase		:       int = 0   )					->list:






	'''simple docstring'''






	a :						Optional[Any]      =							end or len(_lowercase   )
	for i in range(_lowercase       ,			_lowercase   ):
		a :						List[str]      =							i
		a :						Any      =							array[i]
		while temp_index != start and temp_index_value < array[temp_index - 1]:
			a :						Optional[Any]      =							array[temp_index - 1]
			temp_index -= 1
		a :						Any      =							temp_index_value
	return array






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list       ,			_lowercase		:       int       ,			_lowercase		:       int   )					->None:  # Max Heap






	'''simple docstring'''






	a :						Tuple      =							index
	a :						List[Any]      =							2 * index + 1  # Left Node
	a :						Dict      =							2 * index + 2  # Right Node

	if left_index < heap_size and array[largest] < array[left_index]:
		a :						Dict      =							left_index

	if right_index < heap_size and array[largest] < array[right_index]:
		a :						int      =							right_index

	if largest != index:
		a,			a :						List[Any]      =							array[largest], array[index]
		heapify(_lowercase       ,			_lowercase       ,			_lowercase   )






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list   )					->list:






	'''simple docstring'''






	a :						int      =							len(_lowercase   )

	for i in range(n // 2       ,			-1       ,			-1   ):
		heapify(_lowercase       ,			_lowercase       ,			_lowercase   )

	for i in range(n - 1       ,			0       ,			-1   ):
		a,			a :						str      =							array[0], array[i]
		heapify(_lowercase       ,			0       ,			_lowercase   )

	return array






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list       ,			_lowercase		:       int       ,			_lowercase		:       int       ,			_lowercase		:       int   )					->int:






	'''simple docstring'''






	if (array[first_index] > array[middle_index]) != (
	    array[first_index] > array[last_index]
	):
		return array[first_index]
	elif (array[middle_index] > array[first_index]) != (
	    array[middle_index] > array[last_index]
	):
		return array[middle_index]
	else:
		return array[last_index]






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list       ,			_lowercase		:       int       ,			_lowercase		:       int       ,			_lowercase		:       int   )					->int:






	'''simple docstring'''






	a :						List[Any]      =							low
	a :						int      =							high
	while True:
		while array[i] < pivot:
			i += 1
		j -= 1
		while pivot < array[j]:
			j -= 1
		if i >= j:
			return i
		a,			a :						Union[str, Any]      =							array[j], array[i]
		i += 1






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list   )					->list:






	'''simple docstring'''






	if len(_lowercase   ) == 0:
		return array
	a :						Tuple      =							2 * math.ceil(math.loga(len(_lowercase   )   )   )
	a :						List[str]      =							16
	return intro_sort(_lowercase       ,			0       ,			len(_lowercase   )       ,			_lowercase       ,			_lowercase   )






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list       ,			_lowercase		:       int       ,			_lowercase		:       int       ,			_lowercase		:       int       ,			_lowercase		:       int   )					->list:






	'''simple docstring'''






	while end - start > size_threshold:
		if max_depth == 0:
			return heap_sort(_lowercase   )
		max_depth -= 1
		a :						List[str]      =							median_of_a(_lowercase       ,			_lowercase       ,			start + ((end - start) // 2) + 1       ,			end - 1   )
		a :						Tuple      =							partition(_lowercase       ,			_lowercase       ,			_lowercase       ,			_lowercase   )
		intro_sort(_lowercase       ,			_lowercase       ,			_lowercase       ,			_lowercase       ,			_lowercase   )
		a :						Union[str, Any]      =							p
	return insertion_sort(_lowercase       ,			_lowercase       ,			_lowercase   )


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		a		:					Optional[int]	      =     input('''Enter numbers separated by a comma : ''').strip()
		a		:					List[str]	      =     [float(item) for item in user_input.split(''',''')]
		print(sort(unsorted))


