



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[Any]    		=   logging.get_logger(__name__)

class   _A   ( _lowercase	):


						'''simple docstring'''





						def __init__(	self	:							Tuple							,      **lowerCamelCase	:							Tuple	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							Optional[Any]							,      lowerCamelCase	:							str	):






							'''simple docstring'''



							__lowercase		       =			[]
							__lowercase		       =			[]
							__lowercase		       =			element if element.name else element.parent
							for parent in child.parents:  # type: bs4.element.Tag
								__lowercase		       =			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	)	)
								__lowercase		       =			parent
							xpath_tags.reverse()
							xpath_subscripts.reverse()
							return xpath_tags, xpath_subscripts



						def     _snake_case	(	self	:							Optional[Any]							,      lowerCamelCase	:							Union[str, Any]	):






							'''simple docstring'''



							__lowercase		       =			BeautifulSoup(_UpperCAmelCase							,      "html.parser"	)

							__lowercase		       =			[]
							__lowercase		       =			[]
							__lowercase		       =			[]

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

									__lowercase		       =			html.unescape(_UpperCAmelCase	).strip()
									if not text_in_this_tag:
										continue

									all_doc_strings.append(_UpperCAmelCase	)

									__lowercase       ,    __lowercase		       =			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     _snake_case	(	self	:							Dict							,      lowerCamelCase	:							str							,      lowerCamelCase	:							List[Any]	):






							'''simple docstring'''



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



						def __call__(	self	:							List[str]							,      lowerCamelCase	:							Optional[Any]	):






							'''simple docstring'''



							__lowercase		       =			False

							# Check that strings has a valid type
							if isinstance(_UpperCAmelCase							,      _UpperCAmelCase	):
								__lowercase		       =			True
							elif isinstance(_UpperCAmelCase							,      (list, tuple)	):
								if len(_UpperCAmelCase	) == 0 or isinstance(html_strings[0]							,      _UpperCAmelCase	):
									__lowercase		       =			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	)}."""	)

							__lowercase		       =			bool(isinstance(_UpperCAmelCase							,      (list, tuple)	) and (isinstance(html_strings[0]							,      _UpperCAmelCase	))	)

							if not is_batched:
								__lowercase		       =			[html_strings]

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

							# return as Dict
							__lowercase		       =			{"nodes": nodes, "xpaths": xpaths}
							__lowercase		       =			BatchFeature(data=_UpperCAmelCase							,      tensor_type=_UpperCAmelCase	)

							return encoded_inputs








import numpy as np

snake_case__					:     Tuple    		=   [
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]

class   _A   :


						'''simple docstring'''





						def __init__(	self	:							Dict	):






							'''simple docstring'''



							__lowercase		       =			np.array(lowerCamelCase	)



						def     _snake_case	(	self	:							Union[str, Any]							,      lowerCamelCase	:							str	):






							'''simple docstring'''



							__lowercase       ,    __lowercase		       =			np.where(letter == self.SQUARE	)
							__lowercase		       =			np.concatenate([indexa + 1, indexa + 1]	)
							return indexes



						def     _snake_case	(	self	:							List[Any]							,      lowerCamelCase	:							int							,      lowerCamelCase	:							int	):






							'''simple docstring'''



							__lowercase		       =			self.SQUARE[indexa - 1, indexa - 1]
							return letter



						def     _snake_case	(	self	:							int							,      lowerCamelCase	:							str	):






							'''simple docstring'''



							__lowercase		       =			message.lower()
							__lowercase		       =			message.replace(" "							,      ""	)
							__lowercase		       =			message.replace("j"							,      "i"	)

							__lowercase		       =			np.empty((2, len(lowerCamelCase	))	)
							for letter_index in range(len(lowerCamelCase	)	):
								__lowercase		       =			self.letter_to_numbers(message[letter_index]	)

								__lowercase		       =			numbers[0]
								__lowercase		       =			numbers[1]

							__lowercase		       =			first_step.reshape(2 * len(lowerCamelCase	)	)
							__lowercase		       =			""
							for numbers_index in range(len(lowerCamelCase	)	):
								__lowercase		       =			int(second_step[numbers_index * 2]	)
								__lowercase		       =			int(second_step[(numbers_index * 2) + 1]	)
								__lowercase		       =			self.numbers_to_letter(lowerCamelCase							,      lowerCamelCase	)
								__lowercase		       =			encoded_message + letter

							return encoded_message



						def     _snake_case	(	self	:							Optional[Any]							,      lowerCamelCase	:							str	):






							'''simple docstring'''



							__lowercase		       =			message.lower()
							message.replace(" "							,      ""	)
							__lowercase		       =			np.empty(2 * len(lowerCamelCase	)	)
							for letter_index in range(len(lowerCamelCase	)	):
								__lowercase		       =			self.letter_to_numbers(message[letter_index]	)
								__lowercase		       =			numbers[0]
								__lowercase		       =			numbers[1]

							__lowercase		       =			first_step.reshape((2, len(lowerCamelCase	))	)
							__lowercase		       =			""
							for numbers_index in range(len(lowerCamelCase	)	):
								__lowercase		       =			int(second_step[0, numbers_index]	)
								__lowercase		       =			int(second_step[1, numbers_index]	)
								__lowercase		       =			self.numbers_to_letter(lowerCamelCase							,      lowerCamelCase	)
								__lowercase		       =			decoded_message + letter

							return decoded_message



