






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 :      str										=				logging.get_logger(__name__)



class 							SCREAMING_SNAKE_CASE__						(    UpperCamelCase_						):





					"""simple docstring"""






					def __init__( self					:  str							,		**__A					:  Optional[Any]	):
						requires_backends(self							,		["bs4"]	)
						super().__init__(**__A	)



					def 	_lowercase					( self					:  Union[str, Any]							,		__A					:  Dict	):
						snake_case__			:				Any       =  []
						snake_case__			:				Any       =  []
						snake_case__			:				List[str]       =  element if element.name else element.parent
						for parent in child.parents:  # type: bs4.element.Tag
							snake_case__			:				Union[str, Any]       =  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	)	)
							snake_case__			:				Tuple       =  parent
						xpath_tags.reverse()
						xpath_subscripts.reverse()
						return xpath_tags, xpath_subscripts



					def 	_lowercase					( self					:  Optional[int]							,		__A					:  List[Any]	):
						snake_case__			:				int       =  BeautifulSoup(__A							,		"html.parser"	)

						snake_case__			:				int       =  []
						snake_case__			:				str       =  []
						snake_case__			:				Any       =  []

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

								snake_case__			:				Dict       =  html.unescape(__A	).strip()
								if not text_in_this_tag:
									continue

								all_doc_strings.append(__A	)

								snake_case__,						snake_case__			:				Optional[Any]       =  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 	_lowercase					( self					:  Optional[int]							,		__A					:  List[str]							,		__A					:  int	):
						snake_case__			:				Optional[int]       =  ""
						for tagname, subs in zip(__A							,		__A	):
							xpath += f'''/{tagname}'''
							if subs != 0:
								xpath += f'''[{subs}]'''
						return xpath






					def __call__( self					:  Optional[int]							,		__A					:  Optional[Any]	):
						snake_case__			:				int       =  False

						# Check that strings has a valid type
						if isinstance(__A							,		__A	):
							snake_case__			:				Optional[Any]       =  True
						elif isinstance(__A							,		(list, tuple)	):
							if len(__A	) == 0 or isinstance(html_strings[0]							,		__A	):
								snake_case__			:				List[str]       =  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	)}.'''	)

						snake_case__			:				Optional[int]       =  bool(isinstance(__A							,		(list, tuple)	) and (isinstance(html_strings[0]							,		__A	))	)

						if not is_batched:
							snake_case__			:				Union[str, Any]       =  [html_strings]

						# Get nodes + xpaths
						snake_case__			:				str       =  []
						snake_case__			:				Optional[int]       =  []
						for html_string in html_strings:
							snake_case__,						snake_case__,						snake_case__			:				str       =  self.get_three_from_single(__A	)
							nodes.append(__A	)
							snake_case__			:				List[Any]       =  []
							for node, tag_list, sub_list in zip(__A							,		__A							,		__A	):
								snake_case__			:				List[Any]       =  self.construct_xpath(__A							,		__A	)
								xpath_strings.append(__A	)
							xpaths.append(__A	)

						# return as Dict
						snake_case__			:				str       =  {"nodes": nodes, "xpaths": xpaths}
						snake_case__			:				Union[str, Any]       =  BatchFeature(data=__A							,		tensor_type=__A	)

						return encoded_inputs











# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    """pipelines_utils""",
    """0.22.0""",
    """Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.""",
    standard_warn=False,
    stacklevel=3,
)



