



"""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


snake_case   					=				logging.get_logger(__name__)



class     UpperCAmelCase    (	__SCREAMING_SNAKE_CASE  ):



   def __init__(       self    :	Tuple							,       **__lowerCamelCase    :	Any				):



     """simple docstring"""
     requires_backends(self							,       ['''bs4''']				)
     super().__init__(**__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	int							,       __lowerCamelCase    :	int				):



     """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=__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				)				)
       _snake_case   	=      parent
     xpath_tags.reverse()
     xpath_subscripts.reverse()
     return xpath_tags, xpath_subscripts



   def    __UpperCAmelCase    (       self    :	Optional[Any]							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     _snake_case   	=      BeautifulSoup(__lowerCamelCase							,       '''html.parser'''				)

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

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

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

         all_doc_strings.append(__lowerCamelCase				)

         _snake_case	,     _snake_case   	=      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    __UpperCAmelCase    (       self    :	Dict							,       __lowerCamelCase    :	str							,       __lowerCamelCase    :	Any				):



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





   def __call__(       self    :	Optional[Any]							,       __lowerCamelCase    :	Tuple				):



     """simple docstring"""
     _snake_case   	=      False

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

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

     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(__lowerCamelCase				)
       nodes.append(__lowerCamelCase				)
       _snake_case   	=      []
       for node, tag_list, sub_list in zip(__lowerCamelCase							,       __lowerCamelCase							,       __lowerCamelCase				):
         _snake_case   	=      self.construct_xpath(__lowerCamelCase							,       __lowerCamelCase				)
         xpath_strings.append(__lowerCamelCase				)
       xpaths.append(__lowerCamelCase				)

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

     return encoded_inputs










import requests
from bsa import BeautifulSoup

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:str = "AAPL"				)  ->     str:
   _A      =       F'''https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'''
   _A      =       BeautifulSoup(requests.get(_snake_case				).text	,   '''html.parser'''				)
   _A      =       '''My(6px) Pos(r) smartphone_Mt(6px)'''
   return soup.find('''div'''	,   class_=class_				).find('''span'''				).text


if __name__ == "__main__":
   for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
      print(f'Current {symbol:<4} stock price is {stock_price(symbol):>8}')



