
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


lowercase        =  logging.get_logger(__name__)





class       __A(				UpperCAmelCase       ):

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

     def    lowercase__      (	self					:     Any   ,					__UpperCamelCase					:     Tuple   ):
            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    lowercase__      (	self					:     Tuple   ,					__UpperCamelCase					:     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    lowercase__      (	self					:     str   ,					__UpperCamelCase					:     Optional[Any]   ,					__UpperCamelCase					:     int   ):
            lowerCamelCase_							  =					""""""
            for tagname, subs in zip(__UpperCamelCase   ,					__UpperCamelCase   ):
                   xpath += F'''/{tagname}'''
                   if subs != 0:
                          xpath += F'''[{subs}]'''
            return xpath



     def __call__(	self					:     Any   ,					__UpperCamelCase					:     int   ):
            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







from typing import TYPE_CHECKING

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


lowercase        =  {
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase        =  [
		    '''RagModel''',
		    '''RagPreTrainedModel''',
		    '''RagSequenceForGeneration''',
		    '''RagTokenForGeneration''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase        =  [
		    '''TFRagModel''',
		    '''TFRagPreTrainedModel''',
		    '''TFRagSequenceForGeneration''',
		    '''TFRagTokenForGeneration''',
		]


if TYPE_CHECKING:
		from .configuration_rag import RagConfig
		from .retrieval_rag import RagRetriever
		from .tokenization_rag import RagTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_rag import (
				    TFRagModel,
				    TFRagPreTrainedModel,
				    TFRagSequenceForGeneration,
				    TFRagTokenForGeneration,
				)

else:
		import sys

		lowercase        =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





