


"""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__      				=   logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       def __init__(						self		,     **snake_case__						):






         """simple docstring"""





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

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Dict								=							[]
         lowerCAmelCase     :     Any								=							[]
         lowerCAmelCase     :     Dict								=							element if element.name else element.parent
         for parent in child.parents:  # type: bs4.element.Tag
           lowerCAmelCase     :     Tuple								=							parent.find_all(child.name		,     recursive=snake_case__						)
           xpath_tags.append(child.name						)
           xpath_subscripts.append(
               0 if 1 == len(snake_case__						) else next(i for i, s in enumerate(snake_case__		,     1						) if s is child						)						)
           lowerCAmelCase     :     Dict								=							parent
         xpath_tags.reverse()
         xpath_subscripts.reverse()
         return xpath_tags, xpath_subscripts

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Optional[Any]								=							BeautifulSoup(snake_case__		,     "html.parser"						)

         lowerCAmelCase     :     Union[str, Any]								=							[]
         lowerCAmelCase     :     List[Any]								=							[]
         lowerCAmelCase     :     List[Any]								=							[]

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

             lowerCAmelCase     :     Union[str, Any]								=							html.unescape(snake_case__						).strip()
             if not text_in_this_tag:
               continue

             all_doc_strings.append(snake_case__						)

             lowerCAmelCase						,  lowerCAmelCase     :     Optional[Any]								=							self.xpath_soup(snake_case__						)
             stringaxtag_seq.append(snake_case__						)
             stringaxsubs_seq.append(snake_case__						)

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

         return all_doc_strings, stringaxtag_seq, stringaxsubs_seq

       def        lowercase__							(						self		,     snake_case__		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     int								=							""
         for tagname, subs in zip(snake_case__		,     snake_case__						):
           xpath += f"""/{tagname}"""
           if subs != 0:
             xpath += f"""[{subs}]"""
         return xpath







       def __call__(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Optional[int]								=							False

         # Check that strings has a valid type
         if isinstance(snake_case__		,     snake_case__						):
           lowerCAmelCase     :     Tuple								=							True
         elif isinstance(snake_case__		,     (list, tuple)						):
           if len(snake_case__						) == 0 or isinstance(html_strings[0]		,     snake_case__						):
             lowerCAmelCase     :     Any								=							True

         if not valid_strings:
           raise ValueError(
               "HTML strings must of type `str`, `List[str]` (batch of examples), "
               f"""but is of type {type(snake_case__						)}."""						)

         lowerCAmelCase     :     Any								=							bool(isinstance(snake_case__		,     (list, tuple)						) and (isinstance(html_strings[0]		,     snake_case__						))						)

         if not is_batched:
           lowerCAmelCase     :     Any								=							[html_strings]

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

         # return as Dict
         lowerCAmelCase     :     Optional[int]								=							{"nodes": nodes, "xpaths": xpaths}
         lowerCAmelCase     :     str								=							BatchFeature(data=snake_case__		,     tensor_type=snake_case__						)

         return encoded_inputs












import argparse
from collections import defaultdict

import yaml


A    :					str =      '''docs/source/en/_toctree.yml'''







def    __lowerCamelCase					(							__a   :str    )		->				List[Any]:






		"""simple docstring"""

		A__        =   defaultdict(__a    )
		A__        =   []
		A__        =   []
		for doc in doc_list:
				if "local" in doc:
						counts[doc["local"]] += 1

				if doc["title"].lower() == "overview":
						overview_doc.append({"""local""": doc["""local"""], """title""": doc["""title"""]}    )
				else:
						new_doc_list.append(__a    )

		A__        =   new_doc_list
		A__        =   [key for key, value in counts.items() if value > 1]

		A__        =   []
		for duplicate_key in duplicates:
				A__        =   list({doc["""title"""] for doc in doc_list if doc["""local"""] == duplicate_key}    )
				if len(__a    ) > 1:
						raise ValueError(
						    F'{duplicate_key} is present several times in the documentation table of content at '
						    """`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the """
						    """others."""    )
				# Only add this once
				new_doc.append({"""local""": duplicate_key, """title""": titles[0]}    )

		# Add none duplicate-keys
		new_doc.extend([doc for doc in doc_list if """local""" not in counts or counts[doc["""local"""]] == 1]    )
		A__        =   sorted(__a    ,     key=lambda __a    : s["title"].lower()    )

		# "overview" gets special treatment and is always first
		if len(__a    ) > 1:
				raise ValueError("""{doc_list} has two 'overview' docs which is not allowed."""    )

		overview_doc.extend(__a    )

		# Sort
		return overview_doc







def    __lowerCamelCase					(							__a   :Any=False    )		->				List[str]:






		"""simple docstring"""

		with open(__a    ,     encoding="""utf-8"""    ) as f:
				A__        =   yaml.safe_load(f.read()    )

		# Get to the API doc
		A__        =   0
		while content[api_idx]["title"] != "API":
				api_idx += 1
		A__        =   content[api_idx]["""sections"""]

		# Then to the model doc
		A__        =   0
		while api_doc[scheduler_idx]["title"] != "Schedulers":
				scheduler_idx += 1

		A__        =   api_doc[scheduler_idx]["""sections"""]
		A__        =   clean_doc_toc(__a    )

		A__        =   False
		if new_scheduler_doc != scheduler_doc:
				A__        =   True
				if overwrite:
						A__        =   new_scheduler_doc

		if diff:
				if overwrite:
						A__        =   api_doc
						with open(__a    ,     """w"""    ,     encoding="""utf-8"""    ) as f:
								f.write(yaml.dump(__a    ,     allow_unicode=__a    )    )
				else:
						raise ValueError(
						    """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""    )







def    __lowerCamelCase					(							__a   :Optional[int]=False    )		->				Dict:






		"""simple docstring"""

		with open(__a    ,     encoding="""utf-8"""    ) as f:
				A__        =   yaml.safe_load(f.read()    )

		# Get to the API doc
		A__        =   0
		while content[api_idx]["title"] != "API":
				api_idx += 1
		A__        =   content[api_idx]["""sections"""]

		# Then to the model doc
		A__        =   0
		while api_doc[pipeline_idx]["title"] != "Pipelines":
				pipeline_idx += 1

		A__        =   False
		A__        =   api_doc[pipeline_idx]["""sections"""]
		A__        =   []

		# sort sub pipeline docs
		for pipeline_doc in pipeline_docs:
				if "section" in pipeline_doc:
						A__        =   pipeline_doc["""section"""]
						A__        =   clean_doc_toc(__a    )
						if overwrite:
								A__        =   new_sub_pipeline_doc
				new_pipeline_docs.append(__a    )

		# sort overall pipeline doc
		A__        =   clean_doc_toc(__a    )

		if new_pipeline_docs != pipeline_docs:
				A__        =   True
				if overwrite:
						A__        =   new_pipeline_docs

		if diff:
				if overwrite:
						A__        =   api_doc
						with open(__a    ,     """w"""    ,     encoding="""utf-8"""    ) as f:
								f.write(yaml.dump(__a    ,     allow_unicode=__a    )    )
				else:
						raise ValueError(
						    """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""    )


if __name__ == "__main__":
					A    :					Tuple =      argparse.ArgumentParser()
					parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
					A    :					Optional[Any] =      parser.parse_args()

					check_scheduler_doc(args.fix_and_overwrite)
					check_pipeline_doc(args.fix_and_overwrite)



