
'''simple docstring'''






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





def  UpperCAmelCase				(	UpperCAmelCase__				:				int = 8):
				lowerCamelCase       :      Optional[Any]          =			ascii_letters + digits + punctuation
				return "".join(secrets.choice(UpperCAmelCase__) for _ in range(UpperCAmelCase__))





def  UpperCAmelCase				(	UpperCAmelCase__				:				str							,				UpperCAmelCase__				:				int):
				i -= len(UpperCAmelCase__)
				lowerCamelCase       :      Optional[int]          =			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(UpperCAmelCase__							,				quotient + remainder)
				    + random(UpperCAmelCase__							,				UpperCAmelCase__)
				    + random(UpperCAmelCase__							,				UpperCAmelCase__)
				)
				lowerCamelCase       :      Any          =			list(UpperCAmelCase__)
				shuffle(UpperCAmelCase__)
				return "".join(UpperCAmelCase__)

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





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





def  UpperCAmelCase				(	UpperCAmelCase__				:				Tuple							,				UpperCAmelCase__				:				Optional[Any]):
				pass  # Put your code here...





def  UpperCAmelCase				(	UpperCAmelCase__				:				str							,				UpperCAmelCase__				:				Tuple):
				pass  # Put your code here...





def  UpperCAmelCase				(	UpperCAmelCase__				:				Any							,				UpperCAmelCase__				:				List[Any]):
				pass  # Put your code here...





def  UpperCAmelCase				(	UpperCAmelCase__				:				str							,				UpperCAmelCase__				:				int = 8):




				if len(UpperCAmelCase__) < 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       :      Any          =			any(char in ascii_lowercase for char in password)
				lowerCamelCase       :      Optional[int]          =			any(char in digits for char in password)
				lowerCamelCase       :      Optional[int]          =			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  UpperCAmelCase				(	):
				lowerCamelCase       :      Optional[int]          =			int(input('Please indicate the max length of your password: ').strip())
				lowerCamelCase       :      Union[str, Any]          =			input(
				    'Please indicate the characters that must be in your password: ').strip()
				print('Password generated:'							,				password_generator(UpperCAmelCase__))
				print(
				    'Alternative Password generated:'							,				alternative_password_generator(UpperCAmelCase__							,				UpperCAmelCase__)							,				)
				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_tf_available,
    is_torch_available,
    is_vision_available,
)


A			:						Union[str, Any]        =  {
    'configuration_convnext': ['CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ConvNextConfig', 'ConvNextOnnxConfig']
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A			:						str        =  ['ConvNextFeatureExtractor']
	A			:						Optional[Any]        =  ['ConvNextImageProcessor']

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

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A			:						List[str]        =  [
	    '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

	A			:						int        =  _LazyModule(__name__, globals()['__file__'], _import_structure)

