

"""simple docstring"""





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

def     __SCREAMING_SNAKE_CASE    ( A_ = 8					):
	lowerCAmelCase__      :		List[Any]    							=      ascii_letters + digits + punctuation
	return "".join(secrets.choice(A_					) for _ in range(A_					)					)

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

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

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	return "".join(secrets.choice(A_					) for _ in range(A_					)					)

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	pass  # Put your code here...

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	pass  # Put your code here...

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	pass  # Put your code here...

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_ = 8					):

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

	lowerCAmelCase__      :		List[str]    							=      any(char in ascii_uppercase for char in password					)
	lowerCAmelCase__      :		Optional[int]    							=      any(char in ascii_lowercase for char in password					)
	lowerCAmelCase__      :		Optional[Any]    							=      any(char in digits for char in password					)
	lowerCAmelCase__      :		List[Any]    							=      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     __SCREAMING_SNAKE_CASE    ( ):
	lowerCAmelCase__      :		Dict    							=      int(input('''Please indicate the max length of your password: '''					).strip()					)
	lowerCAmelCase__      :		Optional[int]    							=      input(
	    '''Please indicate the characters that must be in your password: '''					).strip()
	print('''Password generated:'''		,	password_generator(A_					)					)
	print(
	    '''Alternative Password generated:'''		,	alternative_password_generator(A_		,	A_					)		,	)
	print('''[If you are thinking of using this passsword, You better save it.]'''					)


if __name__ == "__main__":
							main()







"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCamelCase    : str				 =						{
    '''configuration_swinv2''': ['''SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Swinv2Config'''],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase    : List[Any]				 =						[
							    '''SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''Swinv2ForImageClassification''',
							    '''Swinv2ForMaskedImageModeling''',
							    '''Swinv2Model''',
							    '''Swinv2PreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_swinva import (
														    SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
														    SwinvaForImageClassification,
														    SwinvaForMaskedImageModeling,
														    SwinvaModel,
														    SwinvaPreTrainedModel,
														)


else:
							import sys

							__UpperCamelCase    : List[Any]				 =						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




