



'''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


lowerCamelCase									=							logging.get_logger(__name__)





class _UpperCamelCase		(  SCREAMING_SNAKE_CASE_		):





				'''simple docstring'''





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







											'''simple docstring'''

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

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







											'''simple docstring'''

											__lowercase													=[]
											__lowercase													=[]
											__lowercase													=element if element.name else element.parent
											for parent in child.parents:  # type: bs4.element.Tag
																		__lowercase													=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													=parent
											xpath_tags.reverse()
											xpath_subscripts.reverse()
											return xpath_tags, xpath_subscripts

				def 					__lowerCamelCase  (				self	:	int	,							_lowerCAmelCase	:	List[str]):







											'''simple docstring'''

											__lowercase													=BeautifulSoup(_lowerCAmelCase	,							'html.parser')

											__lowercase													=[]
											__lowercase													=[]
											__lowercase													=[]

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

																									__lowercase													=html.unescape(_lowerCAmelCase).strip()
																									if not text_in_this_tag:
																																continue

																									all_doc_strings.append(_lowerCAmelCase)

																									__lowercase													=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 					__lowerCamelCase  (				self	:	List[Any]	,							_lowerCAmelCase	:	Optional[int]	,							_lowerCAmelCase	:	Optional[Any]):







											'''simple docstring'''

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

				def __call__(				self	:	Optional[Any]	,							_lowerCAmelCase	:	Union[str, Any]):







											'''simple docstring'''

											__lowercase													=False

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

											if not is_batched:
																		__lowercase													=[html_strings]

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

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

											return encoded_inputs








"""simple docstring"""







import warnings

from .generation import TFGenerationMixin







class 					A_(SCREAMING_SNAKE_CASE_      ):







			"""simple docstring"""



			warnings.warn(
			    """Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will """
			    """be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead."""   ,   SCREAMING_SNAKE_CASE_   ,   )





