

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






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__ = 8			)  ->     Tuple:
	__lowerCamelCase				:				Dict					       = ascii_letters + digits + punctuation
	return "".join(secrets.choice(lowerCamelCase__			) for _ in range(lowerCamelCase__			)			)






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

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






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__			)  ->     List[Any]:
	return "".join(secrets.choice(lowerCamelCase__			) for _ in range(lowerCamelCase__			)			)






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__			)  ->     int:
	pass  # Put your code here...






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






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__			)  ->     Tuple:
	pass  # Put your code here...






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__	, lowerCamelCase__ = 8			)  ->     int:

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

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


if __name__ == "__main__":
					main()








'''simple docstring'''




import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu

@require_cpu
class 		UpperCAmelCase_      (  unittest.TestCase		):





     def 							__UpperCAmelCase      ( self       :      str    )				->  List[Any]:
        lowerCAmelCase     =			torch.nn.Linear(1_0    ,      1_0    )
        lowerCAmelCase     =			torch.optim.SGD(model.parameters()    ,      0.1    )
        lowerCAmelCase     =			Accelerator()
        lowerCAmelCase     =			accelerator.prepare(UpperCAmelCase__    )
        try:
           pickle.loads(pickle.dumps(UpperCAmelCase__    )    )
        except Exception as e:
           self.fail(F'''Accelerated optimizer pickling failed with {e}'''    )
        AcceleratorState._reset_state()





