"""simple docstring"""


import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding





class 					snake_case			(       __snake_case						):
				SCREAMING_SNAKE_CASE_     :   Tuple        =						["""image_processor""", """tokenizer"""]
				SCREAMING_SNAKE_CASE_     :   Tuple        =						"""AutoImageProcessor"""
				SCREAMING_SNAKE_CASE_     :   Optional[int]        =						"""AutoTokenizer"""

				def __init__(			self							:       Union[str, Any]  ,						UpperCamelCase__							:       Optional[int]=None  ,						UpperCamelCase__							:       List[Any]=None  ,						**UpperCamelCase__							:       Union[str, Any])->     Any:



						'''simple docstring'''


						__lowerCAmelCase: Tuple					   =    None
						if "feature_extractor" in kwargs:
								warnings.warn(
								    "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
								    " instead."  ,						UpperCamelCase__  ,						)
								__lowerCAmelCase: Optional[Any]					   =    kwargs.pop("feature_extractor")

						__lowerCAmelCase: List[str]					   =    image_processor if image_processor is not None else feature_extractor
						if image_processor is None:
								raise ValueError("You have to specify an image_processor.")
						if tokenizer is None:
								raise ValueError("You have to specify a tokenizer.")

						super().__init__(UpperCamelCase__  ,						UpperCamelCase__)
						__lowerCAmelCase: Optional[int]					   =    self.image_processor

				def __call__(			self							:       Dict  ,						UpperCamelCase__							:       Tuple=None  ,						UpperCamelCase__							:       Union[str, Any]=None  ,						UpperCamelCase__							:       Any=None  ,						**UpperCamelCase__							:       Any)->     Any:



						'''simple docstring'''


						if text is None and images is None:
								raise ValueError("You have to specify either text or images. Both cannot be none.")

						if text is not None:
								__lowerCAmelCase: Any					   =    self.tokenizer(UpperCamelCase__  ,						return_tensors=UpperCamelCase__  ,						**UpperCamelCase__)

						if images is not None:
								__lowerCAmelCase: Any					   =    self.image_processor(UpperCamelCase__  ,						return_tensors=UpperCamelCase__  ,						**UpperCamelCase__)

						if text is not None and images is not None:
								__lowerCAmelCase: List[Any]					   =    image_features.pixel_values
								return encoding
						elif text is not None:
								return encoding
						else:
								return BatchEncoding(data=dict(**UpperCamelCase__)  ,						tensor_type=UpperCamelCase__)

				def 							lowercase_  (			self							:       List[Any]  ,						*UpperCamelCase__							:       Dict  ,						**UpperCamelCase__							:       Dict)->     int:



						'''simple docstring'''


						return self.tokenizer.batch_decode(*UpperCamelCase__  ,						**UpperCamelCase__)

				def 							lowercase_  (			self							:       List[str]  ,						*UpperCamelCase__							:       Optional[int]  ,						**UpperCamelCase__							:       Optional[Any])->     Union[str, Any]:



						'''simple docstring'''


						return self.tokenizer.decode(*UpperCamelCase__  ,						**UpperCamelCase__)

				@property
				def 							lowercase_  (			self							:       Optional[int])->     str:



						'''simple docstring'''


						__lowerCAmelCase: int					   =    self.tokenizer.model_input_names
						__lowerCAmelCase: Union[str, Any]					   =    self.image_processor.model_input_names
						return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names))

				@property
				def 							lowercase_  (			self							:       Any)->     List[Any]:



						'''simple docstring'''


						warnings.warn(
						    "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."  ,						UpperCamelCase__  ,						)
						return self.image_processor_class




				@property
				def 							lowercase_  (			self							:       str)->     Tuple:



						'''simple docstring'''


						warnings.warn(
						    "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."  ,						UpperCamelCase__  ,						)
						return self.image_processor





"""simple docstring"""


import random
import sys

__A		     =    "ABCDEFGHIJKLMNOPQRSTUVWXYZ"






def 					a__					(					)			->			None:
		__lowerCAmelCase: int					   =    input("Enter message: "				)
		__lowerCAmelCase: Any					   =    "LFWOAYUISVKMNXPBDCRJTQEGHZ"
		__lowerCAmelCase: int					   =    input("Encrypt/Decrypt [e/d]: "				)

		check_valid_key(__SCREAMING_SNAKE_CASE				)

		if resp.lower().startswith("e"				):
				__lowerCAmelCase: Tuple					   =    "encrypt"
				__lowerCAmelCase: int					   =    encrypt_message(__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)
		elif resp.lower().startswith("d"				):
				__lowerCAmelCase: str					   =    "decrypt"
				__lowerCAmelCase: List[str]					   =    decrypt_message(__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)

		print(F"\n{mode.title()}ion: \n{translated}"				)






def 					a__					(					__SCREAMING_SNAKE_CASE				)			->			None:
		__lowerCAmelCase: List[Any]					   =    list(__SCREAMING_SNAKE_CASE				)
		__lowerCAmelCase: Optional[int]					   =    list(__SCREAMING_SNAKE_CASE				)
		key_list.sort()
		letters_list.sort()

		if key_list != letters_list:
				sys.exit("Error in the key or symbol set."				)






def 					a__					(					__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)			->			str:
		return translate_message(__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE      ,				"encrypt"				)






def 					a__					(					__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)			->			str:
		return translate_message(__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE      ,				"decrypt"				)






def 					a__					(					__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE      ,				__SCREAMING_SNAKE_CASE				)			->			str:
		__lowerCAmelCase: Union[str, Any]					   =    ""
		__lowerCAmelCase: List[str]					   =    LETTERS
		__lowerCAmelCase: Optional[int]					   =    key

		if mode == "decrypt":
				__lowerCAmelCase   ,				__lowerCAmelCase: Optional[int]					   =    chars_b, chars_a

		for symbol in message:
				if symbol.upper() in chars_a:
						__lowerCAmelCase: Union[str, Any]					   =    chars_a.find(symbol.upper()				)
						if symbol.isupper():
								translated += chars_b[sym_index].upper()
						else:
								translated += chars_b[sym_index].lower()
				else:
						translated += symbol

		return translated






def 					a__					(					)			->			str:
		__lowerCAmelCase: int					   =    list(__SCREAMING_SNAKE_CASE				)
		random.shuffle(__SCREAMING_SNAKE_CASE				)
		return "".join(__SCREAMING_SNAKE_CASE				)


if __name__ == "__main__":
			main()


