




"""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							:    int  							=							logging.get_logger(__name__)






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''





				def __init__( self	,				**_a				):





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





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							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      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							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   ,     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      _lowerCAmelCase       ( self	,				_a	,				_a				):





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





				def __call__( self	,				_a				):





							"""simple docstring"""
							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   ,     lowerCamelCase   ,     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









"""simple docstring"""




from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase							:    List[str]  							=							{
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase							:    Tuple  							=							[
					    """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """AutoformerForPrediction""",
					    """AutoformerModel""",
					    """AutoformerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_autoformer import (
					    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    AutoformerConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_autoformer import (
										    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    AutoformerForPrediction,
										    AutoformerModel,
										    AutoformerPreTrainedModel,
										)

else:
					import sys

					lowerCAmelCase							:    str  							=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



