






'''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


SCREAMING_SNAKE_CASE						=	logging.get_logger(__name__)
class UpperCAmelCase_					(    a__				):




      """simple docstring"""




      def __init__( self			:		int     ,      **UpperCAmelCase			:		Union[str, Any]		)  ->  int:


       '''simple docstring'''

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






      def 				A__      ( self			:		Optional[int]     ,      UpperCAmelCase			:		Any		)  ->  Union[str, Any]:


       '''simple docstring'''

       lowercase					:   Optional[int]				  =[]
       lowercase					:   Optional[Any]				  =[]
       lowercase					:   Dict				  =element if element.name else element.parent
       for parent in child.parents:  # type: bs4.element.Tag
        lowercase					:   List[str]				  =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		)		)
        lowercase					:   Optional[int]				  =parent
       xpath_tags.reverse()
       xpath_subscripts.reverse()
       return xpath_tags, xpath_subscripts






      def 				A__      ( self			:		Union[str, Any]     ,      UpperCAmelCase			:		Dict		)  ->  int:


       '''simple docstring'''

       lowercase					:   str				  =BeautifulSoup(lowerCAmelCase__     ,      '''html.parser'''		)

       lowercase					:   Optional[int]				  =[]
       lowercase					:   List[Any]				  =[]
       lowercase					:   List[str]				  =[]

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

         lowercase					:   List[Any]				  =html.unescape(lowerCAmelCase__		).strip()
         if not text_in_this_tag:
          continue

         all_doc_strings.append(lowerCAmelCase__		)

         lowercase					:   List[Any]				  =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			:		Optional[Any]     ,      UpperCAmelCase			:		Union[str, Any]     ,      UpperCAmelCase			:		Optional[Any]		)  ->  Union[str, Any]:


       '''simple docstring'''

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






      def __call__( self			:		Any     ,      UpperCAmelCase			:		Optional[int]		)  ->  BatchFeature:


       '''simple docstring'''

       lowercase					:   List[Any]				  =False

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

       lowercase					:   Optional[Any]				  =bool(isinstance(lowerCAmelCase__     ,      (list, tuple)		) and (isinstance(html_strings[0]     ,      lowerCAmelCase__		))		)

       if not is_batched:
        lowercase					:   Dict				  =[html_strings]

       # Get nodes + xpaths
       lowercase					:   Optional[Any]				  =[]
       lowercase					:   Dict				  =[]
       for html_string in html_strings:
        lowercase					:   str				  =self.get_three_from_single(lowerCAmelCase__		)
        nodes.append(lowerCAmelCase__		)
        lowercase					:   Dict				  =[]
        for node, tag_list, sub_list in zip(lowerCAmelCase__     ,      lowerCAmelCase__     ,      lowerCAmelCase__		):
         lowercase					:   Union[str, Any]				  =self.construct_xpath(lowerCAmelCase__     ,      lowerCAmelCase__		)
         xpath_strings.append(lowerCAmelCase__		)
        xpaths.append(lowerCAmelCase__		)

       # return as Dict
       lowercase					:   Optional[Any]				  ={"nodes": nodes, "xpaths": xpaths}
       lowercase					:   List[Any]				  =BatchFeature(data=lowerCAmelCase__     ,      tensor_type=lowerCAmelCase__		)

       return encoded_inputs











'''simple docstring'''



def 							lowercase_				(    __A :       int = 6_0_0_8_5_1_4_7_5_1_4_3			)       ->      int:



 """simple docstring"""




 try:
  lowercase					:   Any				  =int(__A			)
 except (TypeError, ValueError):
  raise TypeError('''Parameter n must be int or castable to int.'''			)
 if n <= 0:
  raise ValueError('''Parameter n must be greater than or equal to one.'''			)
 lowercase					:   Optional[Any]				  =1
 lowercase					:   Dict				  =2
 while i * i <= n:
  while n % i == 0:
   lowercase					:   Optional[int]				  =i
   n //= i
  i += 1
 if n > 1:
  lowercase					:   Dict				  =n
 return int(__A			)


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



