import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation
def 				lowerCAmelCase(      __lowerCamelCase = 8		):
					__a						   =  ascii_letters + digits + punctuation
					return "".join(secrets.choice(lowercase_		) for _ in range(lowercase_		)		)
def 				lowerCAmelCase(      __lowerCamelCase ,							__lowerCamelCase		):
					i -= len(lowercase_		)
					__a						   =  i // 3
					__a						   =  i % 3
					# chars = chars_incl + random_letters(ascii_letters, i / 3 + remainder) +
					#     random_number(digits, i / 3) + random_characters(punctuation, i / 3)
					__a						   =  (
					    chars_incl
					    + random(lowercase_ ,							quotient + remainder		)
					    + random(lowercase_ ,							lowercase_		)
					    + random(lowercase_ ,							lowercase_		)
					)
					__a						   =  list(lowercase_		)
					shuffle(lowercase_		)
					return "".join(lowercase_		)

					# random is a generalised function for letters, characters and numbers
def 				lowerCAmelCase(      __lowerCamelCase ,							__lowerCamelCase		):
					return "".join(secrets.choice(lowercase_		) for _ in range(lowercase_		)		)
def 				lowerCAmelCase(      __lowerCamelCase ,							__lowerCamelCase		):
					pass  # Put your code here...
def 				lowerCAmelCase(      __lowerCamelCase ,							__lowerCamelCase		):
					pass  # Put your code here...
def 				lowerCAmelCase(      __lowerCamelCase ,							__lowerCamelCase		):
					pass  # Put your code here...
def 				lowerCAmelCase(      __lowerCamelCase ,							__lowerCamelCase = 8		):

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

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


if __name__ == "__main__":
	main()











"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase__						= logging.get_logger(__name__)

lowerCamelCase__						= {
    "google/mobilenet_v1_1.0_224": "https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json",
    "google/mobilenet_v1_0.75_192": "https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}



class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:int						  =       "mobilenet_v1"

  def __init__(		self :							Optional[int]       , __a :							List[str]=3       , __a :							Union[str, Any]=224       , __a :							Tuple=1.0       , __a :							List[Any]=8       , __a :							Union[str, Any]="relu6"       , __a :							Dict=True       , __a :							Tuple=0.9_99       , __a :							Dict=0.02       , __a :							Any=0.0_01       , **__a :							Any       , )		->					int:
        super().__init__(**__a						)

        if depth_multiplier <= 0:
              raise ValueError("depth_multiplier must be greater than zero."						)

        _UpperCamelCase   :						Any    =							num_channels
        _UpperCamelCase   :						Optional[Any]    =							image_size
        _UpperCamelCase   :						Optional[Any]    =							depth_multiplier
        _UpperCamelCase   :						int    =							min_depth
        _UpperCamelCase   :						List[str]    =							hidden_act
        _UpperCamelCase   :						Union[str, Any]    =							tf_padding
        _UpperCamelCase   :						int    =							classifier_dropout_prob
        _UpperCamelCase   :						Optional[int]    =							initializer_range
        _UpperCamelCase   :						Union[str, Any]    =							layer_norm_eps





class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:List[Any]						  =       version.parse("1.11" )

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							List[str]						)		->					Mapping[str, Mapping[int, str]]:
        return OrderedDict([("pixel_values", {0: "batch"})]						)

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Optional[int]						)		->					Mapping[str, Mapping[int, str]]:
        if self.task == "image-classification":
              return OrderedDict([("logits", {0: "batch"})]						)
        else:
              return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]						)


  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Tuple						)		->					float:
        return 1e-4
