

'''simple docstring'''

from __future__ import annotations

import random
import string







class   UpperCamelCase__   :


		"""simple docstring"""

		def __init__(			self   ,      snake_case = None      ):


							'''simple docstring'''

							UpperCAmelCase		:							Dict        =       passcode or self.__passcode_creator()
							UpperCAmelCase		:							Union[str, Any]        =       self.__make_key_list()
							UpperCAmelCase		:							List[Any]        =       self.__make_shift_key()







		def __str__(			self      ):


							'''simple docstring'''

							return "".join(self.__passcode      )







		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							for i in range(1   ,      len(snake_case      )   ,      2      ):
												iterlist[i] *= -1
							return iterlist







		def 				A_	(			self      ):


							'''simple docstring'''

							UpperCAmelCase		:							List[str]        =       string.ascii_letters + string.digits
							UpperCAmelCase		:							int        =       [random.choice(snake_case      ) for _ in range(random.randint(1_0   ,      2_0      )      )]
							return password







		def 				A_	(			self      ):


							'''simple docstring'''

							UpperCAmelCase		:							str        =       (
							    string.ascii_letters + string.digits + string.punctuation + " \t\n"
							)

							UpperCAmelCase		:							Union[str, Any]        =       []

							# creates points known as breakpoints to break the key_list_options at those
							# points and pivot each substring
							UpperCAmelCase		:							str        =       sorted(set(self.__passcode      )      )
							UpperCAmelCase		:							list[str]        =       []

							# algorithm for creating a new shuffled list, keys_l, out of key_list_options
							for i in key_list_options:
												temp_list.extend(snake_case      )

												# checking breakpoints at which to pivot temporary sublist and add it into
												# keys_l
												if i in breakpoints or i == key_list_options[-1]:
																	keys_l.extend(temp_list[::-1]      )
																	temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
							return keys_l







		def 				A_	(			self      ):


							'''simple docstring'''

							UpperCAmelCase		:							int        =       sum(self.__neg_pos([ord(snake_case      ) for x in self.__passcode]      )      )
							return num if num > 0 else len(self.__passcode      )







		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							str        =       ""

							# decoding shift like Caesar cipher algorithm implementing negative shift or
							# reverse shift or left shift
							for i in encoded_message:
												UpperCAmelCase		:							int        =       self.__key_list.index(snake_case      )
												decoded_message += self.__key_list[
												    (position - self.__shift_key) % -len(self.__key_list      )
												]

							return decoded_message







		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Union[str, Any]        =       ""

							# encoding shift like Caesar cipher algorithm implementing positive shift or
							# forward shift or right shift
							for i in plaintext:
												UpperCAmelCase		:							Tuple        =       self.__key_list.index(snake_case      )
												encoded_message += self.__key_list[
												    (position + self.__shift_key) % len(self.__key_list      )
												]

							return encoded_message





def 				lowercase (					__magic_name__ = "Hello, this is a modified Caesar cipher"							):



					'''simple docstring'''







					UpperCAmelCase		:							Tuple        =       ShuffledShiftCipher()
					return cipa.decrypt(cipa.encrypt(__magic_name__							)							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()



'''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


a       :      List[Any]  	=			logging.get_logger(__name__)

a       :      Dict  	=			{
    "apple/mobilevitv2-1.0": "https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json",
}







class   UpperCamelCase__   (       lowercase__       ):


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :     List[Any]       =							"mobilevitv2"







		def __init__(			self   ,      snake_case=3   ,      snake_case=2_5_6   ,      snake_case=2   ,      snake_case=2.0   ,      snake_case="swish"   ,      snake_case=3   ,      snake_case=3_2   ,      snake_case=0.1   ,      snake_case=0.02   ,      snake_case=1e-5   ,      snake_case=5_1_2   ,      snake_case=[6, 1_2, 1_8]   ,      snake_case=0.1   ,      snake_case=2_5_5   ,      snake_case=[2, 4, 3]   ,      snake_case=[1_2_8, 1_9_2, 2_5_6]   ,      snake_case=1.0   ,      snake_case=2   ,      snake_case=0.0   ,      snake_case=0.0   ,      **snake_case   ,      ):


							'''simple docstring'''

							super().__init__(**snake_case      )

							UpperCAmelCase		:							Tuple        =       num_channels
							UpperCAmelCase		:							Optional[int]        =       image_size
							UpperCAmelCase		:							Optional[int]        =       patch_size
							UpperCAmelCase		:							Optional[int]        =       expand_ratio
							UpperCAmelCase		:							List[Any]        =       hidden_act
							UpperCAmelCase		:							Optional[Any]        =       conv_kernel_size
							UpperCAmelCase		:							str        =       output_stride
							UpperCAmelCase		:							Optional[Any]        =       initializer_range
							UpperCAmelCase		:							Optional[Any]        =       layer_norm_eps
							UpperCAmelCase		:							List[str]        =       n_attn_blocks
							UpperCAmelCase		:							Any        =       base_attn_unit_dims
							UpperCAmelCase		:							str        =       width_multiplier
							UpperCAmelCase		:							Optional[int]        =       ffn_multiplier
							UpperCAmelCase		:							List[Any]        =       ffn_dropout
							UpperCAmelCase		:							List[str]        =       attn_dropout
							UpperCAmelCase		:							Optional[Any]        =       classifier_dropout_prob

							# decode head attributes for semantic segmentation
							UpperCAmelCase		:							Optional[Any]        =       aspp_out_channels
							UpperCAmelCase		:							Dict        =       atrous_rates
							UpperCAmelCase		:							int        =       aspp_dropout_prob
							UpperCAmelCase		:							List[str]        =       semantic_loss_ignore_index







class   UpperCamelCase__   (       lowercase__       ):


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :     Optional[int]       =							version.parse("1.11"       )







		@property
		def 				A_	(			self      ):


							'''simple docstring'''

							return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})]      )







		@property
		def 				A_	(			self      ):


							'''simple docstring'''

							if self.task == "image-classification":
												return OrderedDict([("logits", {0: "batch"})]      )
							else:
												return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]      )







		@property
		def 				A_	(			self      ):


							'''simple docstring'''

							return 1e-4
