





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

def   a_    ( lowerCAmelCase_      :			int = 8	):
   __lowerCAmelCase								=	ascii_letters + digits + punctuation
   return "".join(secrets.choice(lowerCAmelCase_	) for _ in range(lowerCAmelCase_	)	)

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

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

def   a_    ( lowerCAmelCase_      :			str,	lowerCAmelCase_      :			int	):
   return "".join(secrets.choice(lowerCAmelCase_	) for _ in range(lowerCAmelCase_	)	)

def   a_    ( lowerCAmelCase_      :			List[Any],	lowerCAmelCase_      :			List[str]	):
   pass  # Put your code here...

def   a_    ( lowerCAmelCase_      :			Union[str, Any],	lowerCAmelCase_      :			Dict	):
   pass  # Put your code here...

def   a_    ( lowerCAmelCase_      :			Tuple,	lowerCAmelCase_      :			List[Any]	):
   pass  # Put your code here...

def   a_    ( lowerCAmelCase_      :			str,	lowerCAmelCase_      :			int = 8	):

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

   __lowerCAmelCase								=	any(char in ascii_uppercase for char in password	)
   __lowerCAmelCase								=	any(char in ascii_lowercase for char in password	)
   __lowerCAmelCase								=	any(char in digits for char in password	)
   __lowerCAmelCase								=	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   a_    ( ):
   __lowerCAmelCase								=	int(input('Please indicate the max length of your password: '	).strip()	)
   __lowerCAmelCase								=	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()








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_snake_case  :    List[Any]						    =  {
    'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
    'tokenization_biogpt': ['BioGptTokenizer'],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _snake_case  :    Optional[int]						    =  [
         'BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
         'BioGptForCausalLM',
         'BioGptForTokenClassification',
         'BioGptForSequenceClassification',
         'BioGptModel',
         'BioGptPreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
     from .tokenization_biogpt import BioGptTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_biogpt import (
              BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BioGptForCausalLM,
              BioGptForSequenceClassification,
              BioGptForTokenClassification,
              BioGptModel,
              BioGptPreTrainedModel,
          )


else:
     import sys

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

