


'''simple docstring'''


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




def      lowerCamelCase					(      lowerCamelCase  :      List[str] = 8):

      '''simple docstring'''





      A_						:  Tuple          =				ascii_letters + digits + punctuation
      return "".join(secrets.choice(lowerCamelCase) for _ in range(lowerCamelCase))




def      lowerCamelCase					(      lowerCamelCase  :      Union[str, Any]							,						lowerCamelCase  :      List[Any]):

      '''simple docstring'''





      i -= len(lowerCamelCase)
      A_						:  str          =				i // 3
      A_						:  List[Any]          =				i % 3
      # chars = chars_incl + random_letters(ascii_letters, i / 3 + remainder) +
      #     random_number(digits, i / 3) + random_characters(punctuation, i / 3)
      A_						:  List[Any]          =				(
          chars_incl
          + random(lowerCamelCase							,						quotient + remainder)
          + random(lowerCamelCase							,						lowerCamelCase)
          + random(lowerCamelCase							,						lowerCamelCase)
      )
      A_						:  str          =				list(lowerCamelCase)
      shuffle(lowerCamelCase)
      return "".join(lowerCamelCase)

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




def      lowerCamelCase					(      lowerCamelCase  :      Union[str, Any]							,						lowerCamelCase  :      List[Any]):

      '''simple docstring'''





      return "".join(secrets.choice(lowerCamelCase) for _ in range(lowerCamelCase))




def      lowerCamelCase					(      lowerCamelCase  :      Any							,						lowerCamelCase  :      List[Any]):

      '''simple docstring'''





      pass  # Put your code here...




def      lowerCamelCase					(      lowerCamelCase  :      Tuple							,						lowerCamelCase  :      List[str]):

      '''simple docstring'''





      pass  # Put your code here...




def      lowerCamelCase					(      lowerCamelCase  :      Optional[Any]							,						lowerCamelCase  :      List[str]):

      '''simple docstring'''





      pass  # Put your code here...




def      lowerCamelCase					(      lowerCamelCase  :      Tuple							,						lowerCamelCase  :      str = 8):

      '''simple docstring'''





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

      A_						:  str          =				any(char in ascii_uppercase for char in password)
      A_						:  Tuple          =				any(char in ascii_lowercase for char in password)
      A_						:  Dict          =				any(char in digits for char in password)
      A_						:  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      lowerCamelCase					(      ):

      '''simple docstring'''





      A_						:  Union[str, Any]          =				int(input("""Please indicate the max length of your password: """).strip())
      A_						:  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'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


__magic_name__			=      {
    'configuration_convnext': ['CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ConvNextConfig', 'ConvNextOnnxConfig']
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__			=      ['ConvNextFeatureExtractor']
     __magic_name__			=      ['ConvNextImageProcessor']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__			=      [
         'CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST',
         'ConvNextForImageClassification',
         'ConvNextModel',
         'ConvNextPreTrainedModel',
         'ConvNextBackbone',
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__			=      [
         'TFConvNextForImageClassification',
         'TFConvNextModel',
         'TFConvNextPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig, ConvNextOnnxConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_convnext import ConvNextFeatureExtractor
          from .image_processing_convnext import ConvNextImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_convnext import (
              CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
              ConvNextBackbone,
              ConvNextForImageClassification,
              ConvNextModel,
              ConvNextPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel


else:
     import sys

     __magic_name__			=      _LazyModule(__name__, globals()['__file__'], _import_structure)
