'''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


_A     : Union[str, Any]    =							logging.get_logger(__name__)







class 							_lowercase	(							UpperCAmelCase__     ):


 '''simple docstring'''






 def __init__( self  :      Dict ,			**SCREAMING_SNAKE_CASE__  :      Optional[int]				)    ->       Dict:
  requires_backends(self ,			["""bs4"""]				)
  super().__init__(**A_				)
 def a   ( self  :      Optional[int] ,			SCREAMING_SNAKE_CASE__  :      Dict				)    ->       Optional[int]:
  __lowerCAmelCase											=		[]
  __lowerCAmelCase											=		[]
  __lowerCAmelCase											=		element if element.name else element.parent
  for parent in child.parents:  # type: bs4.element.Tag
   __lowerCAmelCase											=		parent.find_all(child.name ,			recursive=A_				)
   xpath_tags.append(child.name				)
   xpath_subscripts.append(
       0 if 1 == len(A_				) else next(i for i, s in enumerate(A_ ,			1				) if s is child				)				)
   __lowerCAmelCase											=		parent
  xpath_tags.reverse()
  xpath_subscripts.reverse()
  return xpath_tags, xpath_subscripts
 def a   ( self  :      Union[str, Any] ,			SCREAMING_SNAKE_CASE__  :      int				)    ->       List[Any]:
  __lowerCAmelCase											=		BeautifulSoup(A_ ,			"""html.parser"""				)

  __lowerCAmelCase											=		[]
  __lowerCAmelCase											=		[]
  __lowerCAmelCase											=		[]

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

    __lowerCAmelCase											=		html.unescape(A_				).strip()
    if not text_in_this_tag:
     continue

    all_doc_strings.append(A_				)

    __lowerCAmelCase											=		self.xpath_soup(A_				)
    stringaxtag_seq.append(A_				)
    stringaxsubs_seq.append(A_				)

  if len(A_				) != len(A_				):
   raise ValueError("""Number of doc strings and xtags does not correspond"""				)
  if len(A_				) != len(A_				):
   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] ,			SCREAMING_SNAKE_CASE__  :      Dict ,			SCREAMING_SNAKE_CASE__  :      List[Any]				)    ->       Optional[Any]:
  __lowerCAmelCase											=		""""""
  for tagname, subs in zip(A_ ,			A_				):
   xpath += f"""/{tagname}"""
   if subs != 0:
    xpath += f"""[{subs}]"""
  return xpath





 def __call__( self  :      Union[str, Any] ,			SCREAMING_SNAKE_CASE__  :      str				)    ->       List[Any]:
  __lowerCAmelCase											=		False

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

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

  __lowerCAmelCase											=		bool(isinstance(A_ ,			(list, tuple)				) and (isinstance(html_strings[0] ,			A_				))				)

  if not is_batched:
   __lowerCAmelCase											=		[html_strings]

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

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

  return encoded_inputs










import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate


@dataclass(frozen=A     )
class 		_SCREAMING_SNAKE_CASE     (						A     ):
     __SCREAMING_SNAKE_CASE     					=    field(default='''image-classification'''							,	metadata={'''include_in_asdict_even_if_is_default''': True}     )
     __SCREAMING_SNAKE_CASE     					=    Features({'''image''': Image()}     )
     __SCREAMING_SNAKE_CASE     					=    Features({'''labels''': ClassLabel}     )
     __SCREAMING_SNAKE_CASE     					=    "image"
     __SCREAMING_SNAKE_CASE     					=    "labels"


     def        __snake_case(  self							,					A_    ):
       if self.label_column not in features:
         raise ValueError(F'''Column {self.label_column} is not present in features.'''    )
       if not isinstance(features[self.label_column]							,					A_    ):
         raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''    )
       _UpperCAmelCase		:							Tuple							=     copy.deepcopy(self    )
       _UpperCAmelCase		:							str							=     self.label_schema.copy()
       _UpperCAmelCase		:							Optional[Any]							=     features[self.label_column]
       _UpperCAmelCase		:							int							=     label_schema
       return task_template




     @property
     def        __snake_case(  self    ):
       return {
           self.image_column: "image",
           self.label_column: "labels",
       }





