



"""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


__snake_case							:     Optional[int]   =					logging.get_logger(__name__)



class     A__     (						__SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





	def __init__(  self:	Optional[int] ,    **_SCREAMING_SNAKE_CASE:	List[str])       -> Union[str, Any]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[int] ,    _SCREAMING_SNAKE_CASE:	Tuple)       -> Union[str, Any]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	int ,    _SCREAMING_SNAKE_CASE:	List[Any])       -> Union[str, Any]:

				"""simple docstring"""

				__lowerCAmelCase   :						List[Any]				= BeautifulSoup(_SCREAMING_SNAKE_CASE ,    "html.parser")

				__lowerCAmelCase   :						Optional[int]				= []
				__lowerCAmelCase   :						Optional[Any]				= []
				__lowerCAmelCase   :						Union[str, Any]				= []

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

										__lowerCAmelCase   :						Optional[int]				= html.unescape(_SCREAMING_SNAKE_CASE).strip()
										if not text_in_this_tag:
													continue

										all_doc_strings.append(_SCREAMING_SNAKE_CASE)

										__lowerCAmelCase		,			__lowerCAmelCase   :						Dict				= self.xpath_soup(_SCREAMING_SNAKE_CASE)
										stringaxtag_seq.append(_SCREAMING_SNAKE_CASE)
										stringaxsubs_seq.append(_SCREAMING_SNAKE_CASE)

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

				return all_doc_strings, stringaxtag_seq, stringaxsubs_seq

	def 							_SCREAMING_SNAKE_CASE     (  self:	Union[str, Any] ,    _SCREAMING_SNAKE_CASE:	Any ,    _SCREAMING_SNAKE_CASE:	int)       -> Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase   :						Optional[int]				= ""
				for tagname, subs in zip(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE):
							xpath += F"""/{tagname}"""
							if subs != 0:
										xpath += F"""[{subs}]"""
				return xpath







	def __call__(  self:	Tuple ,    _SCREAMING_SNAKE_CASE:	str)       -> BatchFeature:

				"""simple docstring"""

				__lowerCAmelCase   :						Dict				= False

				# Check that strings has a valid type
				if isinstance(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE):
							__lowerCAmelCase   :						Any				= True
				elif isinstance(_SCREAMING_SNAKE_CASE ,    (list, tuple)):
							if len(_SCREAMING_SNAKE_CASE) == 0 or isinstance(html_strings[0] ,    _SCREAMING_SNAKE_CASE):
										__lowerCAmelCase   :						List[str]				= True

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

				__lowerCAmelCase   :						str				= bool(isinstance(_SCREAMING_SNAKE_CASE ,    (list, tuple)) and (isinstance(html_strings[0] ,    _SCREAMING_SNAKE_CASE)))

				if not is_batched:
							__lowerCAmelCase   :						List[str]				= [html_strings]

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

				# return as Dict
				__lowerCAmelCase   :						int				= {"nodes": nodes, "xpaths": xpaths}
				__lowerCAmelCase   :						Optional[Any]				= BatchFeature(data=_SCREAMING_SNAKE_CASE ,    tensor_type=_SCREAMING_SNAKE_CASE)

				return encoded_inputs




"""simple docstring"""






import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


__snake_case							:     str   =					pytest.mark.integration


@pytest.mark.parametrize("path"      ,["paws", "csv"]			)
def     _lowercase       (						__snake_case      ,__snake_case			)		->     Any:
			inspect_dataset(__snake_case      ,__snake_case			)
			__lowerCAmelCase   :						str				= path + ".py"
			assert script_name in os.listdir(__snake_case			)
			assert "__pycache__" not in os.listdir(__snake_case			)


@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"			)
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"			)
@pytest.mark.parametrize("path"      ,["accuracy"]			)
def     _lowercase       (						__snake_case      ,__snake_case			)		->     int:
			inspect_metric(__snake_case      ,__snake_case			)
			__lowerCAmelCase   :						str				= path + ".py"
			assert script_name in os.listdir(__snake_case			)
			assert "__pycache__" not in os.listdir(__snake_case			)


@pytest.mark.parametrize(
    "path, config_name, expected_splits"      ,[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]      ,)
def     _lowercase       (						__snake_case      ,__snake_case      ,__snake_case			)		->     Optional[int]:
			__lowerCAmelCase   :						str				= get_dataset_config_info(__snake_case      ,config_name=__snake_case			)
			assert info.config_name == config_name
			assert list(info.splits.keys()			) == expected_splits


@pytest.mark.parametrize(
    "path, config_name, expected_exception"      ,[
        ("paws", None, ValueError),
    ]      ,)
def     _lowercase       (						__snake_case      ,__snake_case      ,__snake_case			)		->     List[str]:
			with pytest.raises(__snake_case			):
						get_dataset_config_info(__snake_case      ,config_name=__snake_case			)


@pytest.mark.parametrize(
    "path, expected"      ,[
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]      ,)
def     _lowercase       (						__snake_case      ,__snake_case			)		->     int:
			__lowerCAmelCase   :						Dict				= get_dataset_config_names(__snake_case			)
			assert expected in config_names


@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"      ,[
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]      ,)
def     _lowercase       (						__snake_case      ,__snake_case      ,__snake_case			)		->     Optional[Any]:
			__lowerCAmelCase   :						List[Any]				= get_dataset_infos(__snake_case			)
			assert list(infos.keys()			) == expected_configs
			__lowerCAmelCase   :						List[Any]				= expected_configs[0]
			assert expected_config in infos
			__lowerCAmelCase   :						Tuple				= infos[expected_config]
			assert info.config_name == expected_config
			assert list(info.splits.keys()			) == expected_splits_in_first_config


@pytest.mark.parametrize(
    "path, expected_config, expected_splits"      ,[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]      ,)
def     _lowercase       (						__snake_case      ,__snake_case      ,__snake_case			)		->     Union[str, Any]:
			__lowerCAmelCase   :						Tuple				= get_dataset_infos(__snake_case			)
			assert expected_config in infos
			__lowerCAmelCase   :						int				= infos[expected_config]
			assert info.config_name == expected_config
			assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception"      ,[
        ("paws", None, ValueError),
    ]      ,)
def     _lowercase       (						__snake_case      ,__snake_case      ,__snake_case			)		->     Any:
			with pytest.raises(__snake_case			):
						get_dataset_split_names(__snake_case      ,config_name=__snake_case			)