



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_						:     Dict	     =		logging.get_logger(__name__)





class    lowerCamelCase__  (						UpperCAmelCase_):
     """simple docstring"""



     def __init__(self				,			**__a    ):






           '''simple docstring'''



           requires_backends(self				,			["bs4"]    )
           super().__init__(**__a    )







     def 						_a      (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 						_a      (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 						_a      (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




a_						:     List[str]	     =		'\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

a_						:     Any	     =		[{'type': 'code', 'content': INSTALL_CONTENT}]
a_						:     str	     =		{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}