




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


UpperCAmelCase__				     = logging.get_logger(__name__)







class a		(     UpperCamelCase__  ):
						"""simple docstring"""

						def __init__( self :     Dict				,							**lowerCamelCase__ :     List[Any]				)    ->						List[Any]:
													"""simple docstring"""


													requires_backends(self				,							['''bs4''']				)
													super().__init__(**__A				)






						def     UpperCAmelCase_      ( self :     List[str]				,							lowerCamelCase__ :     Union[str, Any]				)    ->						int:
													"""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=__A				)
																				xpath_tags.append(child.name				)
																				xpath_subscripts.append(
																				    0 if 1 == len(__A				) else next(i for i, s in enumerate(__A				,							1				) if s is child				)				)
																				__lowercase      =    parent
													xpath_tags.reverse()
													xpath_subscripts.reverse()
													return xpath_tags, xpath_subscripts






						def     UpperCAmelCase_      ( self :     Optional[int]				,							lowerCamelCase__ :     str				)    ->						str:
													"""simple docstring"""


													__lowercase      =    BeautifulSoup(__A				,							'''html.parser'''				)

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

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

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

																											all_doc_strings.append(__A				)

																											__lowercase     ,     __lowercase      =    self.xpath_soup(__A				)
																											stringaxtag_seq.append(__A				)
																											stringaxsubs_seq.append(__A				)

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

													return all_doc_strings, stringaxtag_seq, stringaxsubs_seq






						def     UpperCAmelCase_      ( self :     Optional[Any]				,							lowerCamelCase__ :     str				,							lowerCamelCase__ :     str				)    ->						Optional[int]:
													"""simple docstring"""


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






						def __call__( self :     Dict				,							lowerCamelCase__ :     List[Any]				)    ->						BatchFeature:
													"""simple docstring"""


													__lowercase      =    False

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

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

													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(__A				)
																				nodes.append(__A				)
																				__lowercase      =    []
																				for node, tag_list, sub_list in zip(__A				,							__A				,							__A				):
																											__lowercase      =    self.construct_xpath(__A				,							__A				)
																											xpath_strings.append(__A				)
																				xpaths.append(__A				)

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

													return encoded_inputs












import math







def 		_A(       )    -> None:
							'''simple docstring'''


							__lowercase      =    input('''Enter message: '''				)
							__lowercase      =    int(input(F'Enter key [2-{len(UpperCamelCase__				) - 1}]: '				)				)
							__lowercase      =    input('''Encryption/Decryption [e/d]: '''				)

							if mode.lower().startswith('''e'''				):
														__lowercase      =    encrypt_message(UpperCamelCase__				,       UpperCamelCase__				)
							elif mode.lower().startswith('''d'''				):
														__lowercase      =    decrypt_message(UpperCamelCase__				,       UpperCamelCase__				)

							# Append pipe symbol (vertical bar) to identify spaces at the end.
							print(F'Output:\n{text + "|"}'				)







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			str				)    -> str:
							'''simple docstring'''


							__lowercase      =    [''''''] * key
							for col in range(UpperCamelCase__				):
														__lowercase      =    col
														while pointer < len(UpperCamelCase__				):
																					cipher_text[col] += message[pointer]
																					pointer += key
							return "".join(UpperCamelCase__				)







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			str				)    -> str:
							'''simple docstring'''


							__lowercase      =    math.ceil(len(UpperCamelCase__				) / key				)
							__lowercase      =    key
							__lowercase      =    (num_cols * num_rows) - len(UpperCamelCase__				)
							__lowercase      =    [''''''] * num_cols
							__lowercase      =    0
							__lowercase      =    0

							for symbol in message:
														plain_text[col] += symbol
														col += 1

														if (
														    (col == num_cols)
														    or (col == num_cols - 1)
														    and (row >= num_rows - num_shaded_boxes)
														):
																					__lowercase      =    0
																					row += 1

							return "".join(UpperCamelCase__				)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()






