
"""simple docstring"""






import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation



def      lowerCAmelCase__			(		__magic_name__ = 8      )						->str:
			__lowercase       =       ascii_letters + digits + punctuation
			return "".join(secrets.choice(__magic_name__      ) for _ in range(__magic_name__      )      )



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->str:
			# Password Generator = full boot with random_number, random_letters, and
			# random_character FUNCTIONS
			# Put your code here...
			i -= len(__magic_name__      )
			__lowercase       =       i // 3
			__lowercase       =       i % 3
			# chars = chars_incl + random_letters(ascii_letters, i / 3 + remainder) +
			#     random_number(digits, i / 3) + random_characters(punctuation, i / 3)
			__lowercase       =       (
			    chars_incl
			    + random(__magic_name__			,   quotient + remainder      )
			    + random(__magic_name__			,   __magic_name__      )
			    + random(__magic_name__			,   __magic_name__      )
			)
			__lowercase       =       list(__magic_name__      )
			shuffle(__magic_name__      )
			return "".join(__magic_name__      )

			# random is a generalised function for letters, characters and numbers



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->str:
			return "".join(secrets.choice(__magic_name__      ) for _ in range(__magic_name__      )      )



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->List[Any]:
			pass  # Put your code here...



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->Optional[int]:
			pass  # Put your code here...



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->Dict:
			pass  # Put your code here...



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__ = 8      )						->bool:

			if len(__magic_name__      ) < min_length:
						# Your Password must be at least 8 characters long
						return False

			__lowercase       =       any(char in ascii_uppercase for char in password      )
			__lowercase       =       any(char in ascii_lowercase for char in password      )
			__lowercase       =       any(char in digits for char in password      )
			__lowercase       =       any(char in punctuation for char in password      )

			return upper and lower and num and spec_char
			# Passwords should contain UPPERCASE, lowerase
			# numbers, and special characters



def      lowerCAmelCase__			(		)						->Optional[Any]:
			__lowercase       =       int(input("Please indicate the max length of your password: "      ).strip()      )
			__lowercase       =       input(
			    "Please indicate the characters that must be in your password: "      ).strip()
			print("Password generated:"			,   password_generator(__magic_name__      )      )
			print(
			    "Alternative Password generated:"			,   alternative_password_generator(__magic_name__			,   __magic_name__      )			,   )
			print("[If you are thinking of using this passsword, You better save it.]"      )


if __name__ == "__main__":
					main()







"""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


_lowercase							=				logging.get_logger(__name__)

class 					__a     ( __a       ):



							'''simple docstring'''







							def __init__(     self  ,    **_lowerCamelCase       )			->							List[Any]:




										'''simple docstring'''
										requires_backends(self  ,    ["bs4"]       )
										super().__init__(**_lowerCamelCase       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Tuple:




										'''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=_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       )       )
													__lowercase       =       parent
										xpath_tags.reverse()
										xpath_subscripts.reverse()
										return xpath_tags, xpath_subscripts
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Union[str, Any]:




										'''simple docstring'''
										__lowercase       =       BeautifulSoup(_lowerCamelCase  ,    "html.parser"       )

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

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

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

																all_doc_strings.append(_lowerCamelCase       )

																__lowercase   ,					__lowercase       =       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   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase       )			->							Tuple:




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





							def __call__(     self  ,    _lowerCamelCase       )			->							BatchFeature:




										'''simple docstring'''
										__lowercase       =       False

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

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

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

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

										return encoded_inputs





