


'''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


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




class 	a__       (							a__						):





							'''simple docstring'''






							def __init__(	self      ,					**lowerCamelCase_     ) ->							Optional[Any]:
														requires_backends(self      ,					['''bs4''']     )
														super().__init__(**_UpperCAmelCase     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							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=_UpperCAmelCase     )
																					xpath_tags.append(child.name     )
																					xpath_subscripts.append(
																					    0 if 1 == len(_UpperCAmelCase     ) else next(i for i, s in enumerate(_UpperCAmelCase      ,					1     ) if s is child     )     )
																					lowerCAmelCase__      =			parent
														xpath_tags.reverse()
														xpath_subscripts.reverse()
														return xpath_tags, xpath_subscripts







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							List[str]:
														lowerCAmelCase__      =			BeautifulSoup(_UpperCAmelCase      ,					'''html.parser'''     )

														lowerCAmelCase__      =			[]
														lowerCAmelCase__      =			[]
														lowerCAmelCase__      =			[]

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

																												lowerCAmelCase__      =			html.unescape(_UpperCAmelCase     ).strip()
																												if not text_in_this_tag:
																																			continue

																												all_doc_strings.append(_UpperCAmelCase     )

																												lowerCAmelCase__     ,      lowerCAmelCase__      =			self.xpath_soup(_UpperCAmelCase     )
																												stringaxtag_seq.append(_UpperCAmelCase     )
																												stringaxsubs_seq.append(_UpperCAmelCase     )

														if len(_UpperCAmelCase     ) != len(_UpperCAmelCase     ):
																					raise ValueError('''Number of doc strings and xtags does not correspond'''     )
														if len(_UpperCAmelCase     ) != len(_UpperCAmelCase     ):
																					raise ValueError('''Number of doc strings and xsubs does not correspond'''     )

														return all_doc_strings, stringaxtag_seq, stringaxsubs_seq







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_     ) ->							Dict:
														lowerCAmelCase__      =			''''''
														for tagname, subs in zip(_UpperCAmelCase      ,					_UpperCAmelCase     ):
																					xpath += F"""/{tagname}"""
																					if subs != 0:
																												xpath += F"""[{subs}]"""
														return xpath







							def __call__(	self      ,					lowerCamelCase_     ) ->							BatchFeature:
														lowerCAmelCase__      =			False

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

														lowerCAmelCase__      =			bool(isinstance(_UpperCAmelCase      ,					(list, tuple)     ) and (isinstance(html_strings[0]      ,					_UpperCAmelCase     ))     )

														if not is_batched:
																					lowerCAmelCase__      =			[html_strings]

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

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

														return encoded_inputs



'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCAmelCase					       =							{
    '''configuration_poolformer''': [
        '''POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''PoolFormerConfig''',
        '''PoolFormerOnnxConfig''',
    ]
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase					       =							['''PoolFormerFeatureExtractor''']
		__UpperCAmelCase					       =							['''PoolFormerImageProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase					       =							[
		    '''POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''PoolFormerForImageClassification''',
		    '''PoolFormerModel''',
		    '''PoolFormerPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_poolformer import (
		    POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    PoolFormerConfig,
		    PoolFormerOnnxConfig,
		)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_poolformer import PoolFormerFeatureExtractor
				from .image_processing_poolformer import PoolFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_poolformer import (
				    POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    PoolFormerForImageClassification,
				    PoolFormerModel,
				    PoolFormerPreTrainedModel,
				)


else:
		import sys

		__UpperCAmelCase					       =							_LazyModule(__name__, globals()['''__file__'''], _import_structure)