
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


_lowerCamelCase	:    Tuple          =      logging.get_logger(__name__)




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	def __init__(  self     :   str      ,  **lowercase     :   Optional[Any]     ):


				'''simple docstring'''


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



	def 			A							(  self     :   Union[str, Any]      ,  lowercase     :   List[Any]     ):


				'''simple docstring'''


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



	def 			A							(  self     :   Optional[Any]      ,  lowercase     :   List[Any]     ):


				'''simple docstring'''


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

				_snake_case          =      []
				_snake_case          =      []
				_snake_case          =      []

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

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

										all_doc_strings.append(lowercase     )

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

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

				return all_doc_strings, stringaxtag_seq, stringaxsubs_seq



	def 			A							(  self     :   List[str]      ,  lowercase     :   Dict      ,  lowercase     :   Dict     ):


				'''simple docstring'''


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





	def __call__(  self     :   int      ,  lowercase     :   List[Any]     ):


				'''simple docstring'''


				_snake_case          =      False

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

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

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

				if not is_batched:
							_snake_case          =      [html_strings]

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

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

				return encoded_inputs

def 	a_		(	__lowercase       :     int = 50_000_000			)			->  int:
			_snake_case          =      set()
			_snake_case          =      int((limit - 24) ** (1 / 2)			)

			_snake_case          =      set(range(3	, prime_square_limit + 1	, 2			)			)
			primes.add(2			)
			for p in range(3	, prime_square_limit + 1	, 2			):
						if p not in primes:
									continue
						primes.difference_update(set(range(p * p	, prime_square_limit + 1	, __lowercase			)			)			)

			for primea in primes:
						_snake_case          =      primea * primea
						for primea in primes:
									_snake_case          =      primea * primea * primea
									if square + cube >= limit - 16:
												break
									for primea in primes:
												_snake_case          =      primea * primea * primea * primea
												_snake_case          =      square + cube + tetr
												if total >= limit:
															break
												ret.add(__lowercase			)

			return len(__lowercase			)


if __name__ == "__main__":
			print(F'{solution() = }')