



"""simple docstring"""






from __future__ import annotations

import random
import string

class 			__SCREAMING_SNAKE_CASE      :


					'''simple docstring'''





					def __init__(			self				:    str,    lowerCamelCase				:    Optional[int] = None	)->   None:
								lowerCamelCase__						:						Dict						      =passcode or self.__passcode_creator()
								lowerCamelCase__						:						Dict						      =self.__make_key_list()
								lowerCamelCase__						:						Tuple						      =self.__make_shift_key()



					def __str__(			self				:    Optional[Any]	)->   str:
								return "".join(self.__passcode	)



					def 						snake_case			(			self				:    Optional[int],    lowerCamelCase				:    Optional[int]	)->   list[int]:



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



					def 						snake_case			(			self				:    str	)->   list[str]:
								lowerCamelCase__						:						Any						      =string.ascii_letters + string.digits
								lowerCamelCase__						:						Dict						      =[random.choice(__snake_case	) for _ in range(random.randint(10,    20	)	)]
								return password



					def 						snake_case			(			self				:    int	)->   list[str]:
								lowerCamelCase__						:						Any						      =(
								    string.ascii_letters + string.digits + string.punctuation + " \t\n"
								)

								lowerCamelCase__						:						str						      =[]

								# creates points known as breakpoints to break the key_list_options at those
								# points and pivot each substring
								lowerCamelCase__						:						Union[str, Any]						      =sorted(set(self.__passcode	)	)
								lowerCamelCase__						:						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 						snake_case			(			self				:    Any	)->   int:
								lowerCamelCase__						:						List[str]						      =sum(self.__neg_pos([ord(__snake_case	) for x in self.__passcode]	)	)
								return num if num > 0 else len(self.__passcode	)



					def 						snake_case			(			self				:    Union[str, Any],    lowerCamelCase				:    str	)->   str:
								lowerCamelCase__						:						str						      =""

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

								return decoded_message




					def 						snake_case			(			self				:    Union[str, Any],    lowerCamelCase				:    Optional[int]	)->   str:
								lowerCamelCase__						:						Optional[Any]						      =""

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

								return encoded_message






def 	snake_case__  (						__lowerCamelCase							:       str = "Hello, this is a modified Caesar cipher"      ):
			"""simple docstring"""
			lowerCamelCase__						:						Dict						      =ShuffledShiftCipher()
			return cipa.decrypt(cipa.encrypt(snake_case_      )      )


if __name__ == "__main__":
		import doctest

		doctest.testmod()






from typing import TYPE_CHECKING

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


snake_case_      :					Any				      =     {
    'configuration_imagegpt': ['IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ImageGPTConfig', 'ImageGPTOnnxConfig']
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case_      :					str				      =     ['ImageGPTFeatureExtractor']
	snake_case_      :					Optional[int]				      =     ['ImageGPTImageProcessor']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case_      :					List[str]				      =     [
	    'IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'ImageGPTForCausalImageModeling',
	    'ImageGPTForImageClassification',
	    'ImageGPTModel',
	    'ImageGPTPreTrainedModel',
	    'load_tf_weights_in_imagegpt',
	]


if TYPE_CHECKING:
	from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
		from .image_processing_imagegpt import ImageGPTImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_imagegpt import (
		    IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    ImageGPTForCausalImageModeling,
		    ImageGPTForImageClassification,
		    ImageGPTModel,
		    ImageGPTPreTrainedModel,
		    load_tf_weights_in_imagegpt,
		)

else:
	import sys

	snake_case_      :					Dict				      =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
