




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


__SCREAMING_SNAKE_CASE 						=logging.get_logger(__name__)






class  __magic_name__						(  __UpperCAmelCase):
				'''simple docstring'''







				def __init__(							self:   Optional[Any]		,					**_lowerCamelCase:   str		):
											requires_backends(self		,					['''bs4''']		)
											super().__init__(**_lowerCamelCase		)


				def     _A							(							self:   Optional[Any]		,					_lowerCamelCase:   Union[str, Any]		):
											SCREAMING_SNAKE_CASE_   	=    []
											SCREAMING_SNAKE_CASE_   	=    []
											SCREAMING_SNAKE_CASE_   	=    element if element.name else element.parent
											for parent in child.parents:  # type: bs4.element.Tag
																		SCREAMING_SNAKE_CASE_   	=    parent.find_all(child.name		,					recursive=_lowerCamelCase		)
																		xpath_tags.append(child.name		)
																		xpath_subscripts.append(
																		    0 if 1 == len(_lowerCamelCase		) else next(i for i, s in enumerate(_lowerCamelCase		,					1		) if s is child		)		)
																		SCREAMING_SNAKE_CASE_   	=    parent
											xpath_tags.reverse()
											xpath_subscripts.reverse()
											return xpath_tags, xpath_subscripts


				def     _A							(							self:   List[Any]		,					_lowerCamelCase:   List[Any]		):
											SCREAMING_SNAKE_CASE_   	=    BeautifulSoup(_lowerCamelCase		,					'''html.parser'''		)

											SCREAMING_SNAKE_CASE_   	=    []
											SCREAMING_SNAKE_CASE_   	=    []
											SCREAMING_SNAKE_CASE_   	=    []

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

																									SCREAMING_SNAKE_CASE_   	=    html.unescape(_lowerCamelCase		).strip()
																									if not text_in_this_tag:
																																continue

																									all_doc_strings.append(_lowerCamelCase		)

																									SCREAMING_SNAKE_CASE_	,	SCREAMING_SNAKE_CASE_   	=    self.xpath_soup(_lowerCamelCase		)
																									stringaxtag_seq.append(_lowerCamelCase		)
																									stringaxsubs_seq.append(_lowerCamelCase		)

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

											return all_doc_strings, stringaxtag_seq, stringaxsubs_seq


				def     _A							(							self:   Union[str, Any]		,					_lowerCamelCase:   Optional[int]		,					_lowerCamelCase:   Optional[Any]		):
											SCREAMING_SNAKE_CASE_   	=    ''''''
											for tagname, subs in zip(_lowerCamelCase		,					_lowerCamelCase		):
																		xpath += f"/{tagname}"
																		if subs != 0:
																									xpath += f"[{subs}]"
											return xpath





				def __call__(							self:   Union[str, Any]		,					_lowerCamelCase:   Union[str, Any]		):
											SCREAMING_SNAKE_CASE_   	=    False

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

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

											SCREAMING_SNAKE_CASE_   	=    bool(isinstance(_lowerCamelCase		,					(list, tuple)		) and (isinstance(html_strings[0]		,					_lowerCamelCase		))		)

											if not is_batched:
																		SCREAMING_SNAKE_CASE_   	=    [html_strings]

											# Get nodes + xpaths
											SCREAMING_SNAKE_CASE_   	=    []
											SCREAMING_SNAKE_CASE_   	=    []
											for html_string in html_strings:
																		SCREAMING_SNAKE_CASE_	,	SCREAMING_SNAKE_CASE_	,	SCREAMING_SNAKE_CASE_   	=    self.get_three_from_single(_lowerCamelCase		)
																		nodes.append(_lowerCamelCase		)
																		SCREAMING_SNAKE_CASE_   	=    []
																		for node, tag_list, sub_list in zip(_lowerCamelCase		,					_lowerCamelCase		,					_lowerCamelCase		):
																									SCREAMING_SNAKE_CASE_   	=    self.construct_xpath(_lowerCamelCase		,					_lowerCamelCase		)
																									xpath_strings.append(_lowerCamelCase		)
																		xpaths.append(_lowerCamelCase		)

											# return as Dict
											SCREAMING_SNAKE_CASE_   	=    {'''nodes''': nodes, '''xpaths''': xpaths}
											SCREAMING_SNAKE_CASE_   	=    BatchFeature(data=_lowerCamelCase		,					tensor_type=_lowerCamelCase		)

											return encoded_inputs








from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
__SCREAMING_SNAKE_CASE 						=1.0_5_4_5_7_1_8_1_7e-3_4  # unit of ℏ : J * s

__SCREAMING_SNAKE_CASE 						=3e8  # unit of c : m * s^-1

def 			a   (_lowerCAmelCase  ,    _lowerCAmelCase  ,    _lowerCAmelCase     ):

							if (force, area, distance).count(0     ) != 1:
														raise ValueError('''One and only one argument must be 0'''     )
							if force < 0:
														raise ValueError('''Magnitude of force can not be negative'''     )
							if distance < 0:
														raise ValueError('''Distance can not be negative'''     )
							if area < 0:
														raise ValueError('''Area can not be negative'''     )
							if force == 0:
														SCREAMING_SNAKE_CASE_   	=    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
														    2_4_0 * (distance) ** 4
														)
														return {"force": force}
							elif area == 0:
														SCREAMING_SNAKE_CASE_   	=    (2_4_0 * force * (distance) ** 4) / (
														    REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
														)
														return {"area": area}
							elif distance == 0:
														SCREAMING_SNAKE_CASE_   	=    (
														    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_4_0 * force)
														) ** (1 / 4)
														return {"distance": distance}
							raise ValueError('''One and only one argument must be 0'''     )


# Run doctest
if __name__ == "__main__":
			import doctest

			doctest.testmod()


