'''simple docstring'''




from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType




class    a__				(       UpperCAmelCase__			):
     lowerCamelCase  :					Any							=["image_processor", "tokenizer"]
     lowerCamelCase  :					Union[str, Any]							="BlipImageProcessor"
     lowerCamelCase  :					Optional[Any]							=("BertTokenizer", "BertTokenizerFast")






     def __init__(			self		:		Tuple  ,    a		:		str  ,    a		:		Union[str, Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  False
         super().__init__(a  ,    a   )
         __lowerCamelCase          =  self.image_processor






     def __call__(			self		:		int  ,    a		:		ImageInput = None  ,    a		:		Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None  ,    a		:		bool = True  ,    a		:		Union[bool, str, PaddingStrategy] = False  ,    a		:		Union[bool, str, TruncationStrategy] = None  ,    a		:		Optional[int] = None  ,    a		:		int = 0  ,    a		:		Optional[int] = None  ,    a		:		Optional[bool] = None  ,    a		:		bool = False  ,    a		:		bool = False  ,    a		:		bool = False  ,    a		:		bool = False  ,    a		:		bool = False  ,    a		:		bool = True  ,    a		:		Optional[Union[str, TensorType]] = None  ,    **a		:		List[str]  ,    ):





         """simple docstring"""



         if images is None and text is None:
             raise ValueError('''You have to specify either images or text.'''   )

         # Get only text
         if images is None:
             __lowerCamelCase          =  self.tokenizer
             __lowerCamelCase          =  self.tokenizer(
                 text=a  ,    add_special_tokens=a  ,    padding=a  ,    truncation=a  ,    max_length=a  ,    stride=a  ,    pad_to_multiple_of=a  ,    return_attention_mask=a  ,    return_overflowing_tokens=a  ,    return_special_tokens_mask=a  ,    return_offsets_mapping=a  ,    return_token_type_ids=a  ,    return_length=a  ,    verbose=a  ,    return_tensors=a  ,    **a  ,    )
             return text_encoding

         # add pixel_values
         __lowerCamelCase          =  self.image_processor(a  ,    return_tensors=a   )

         if text is not None:
             __lowerCamelCase          =  self.tokenizer(
                 text=a  ,    add_special_tokens=a  ,    padding=a  ,    truncation=a  ,    max_length=a  ,    stride=a  ,    pad_to_multiple_of=a  ,    return_attention_mask=a  ,    return_overflowing_tokens=a  ,    return_special_tokens_mask=a  ,    return_offsets_mapping=a  ,    return_token_type_ids=a  ,    return_length=a  ,    verbose=a  ,    return_tensors=a  ,    **a  ,    )
         else:
             __lowerCamelCase          =  None

         if text_encoding is not None:
             encoding_image_processor.update(a   )

         return encoding_image_processor






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]  ,    *a		:		Tuple  ,    **a		:		str   ):





         """simple docstring"""



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






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]  ,    *a		:		int  ,    **a		:		Optional[Any]   ):





         """simple docstring"""



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






     @property
     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]   ):





         """simple docstring"""



         __lowerCamelCase          =  self.tokenizer.model_input_names
         __lowerCamelCase          =  self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names   )   )

'''simple docstring'''




__UpperCAmelCase												="ABCDEFGHIJKLMNOPQRSTUVWXYZ"






def __lowerCAmelCase			(							)     ->   None:
    __lowerCamelCase          =  input('''Enter message: '''    )
    __lowerCamelCase          =  input('''Enter key [alphanumeric]: '''    )
    __lowerCamelCase          =  input('''Encrypt/Decrypt [e/d]: '''    )

    if mode.lower().startswith('''e'''    ):
        __lowerCamelCase          =  '''encrypt'''
        __lowerCamelCase          =  encrypt_message(UpperCamelCase__    ,  UpperCamelCase__    )
    elif mode.lower().startswith('''d'''    ):
        __lowerCamelCase          =  '''decrypt'''
        __lowerCamelCase          =  decrypt_message(UpperCamelCase__    ,  UpperCamelCase__    )

    print(f"""\n{mode.title()}ed message:"""    )
    print(UpperCamelCase__    )






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    )     ->   str:
    return translate_message(UpperCamelCase__    ,  UpperCamelCase__    ,  '''encrypt'''    )






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    )     ->   str:
    return translate_message(UpperCamelCase__    ,  UpperCamelCase__    ,  '''decrypt'''    )






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__    )     ->   str:
    __lowerCamelCase          =  []
    __lowerCamelCase          =  0
    __lowerCamelCase          =  key.upper()

    for symbol in message:
        __lowerCamelCase          =  LETTERS.find(symbol.upper()    )
        if num != -1:
            if mode == "encrypt":
                num += LETTERS.find(key[key_index]    )
            elif mode == "decrypt":
                num -= LETTERS.find(key[key_index]    )

            num %= len(UpperCamelCase__    )

            if symbol.isupper():
                translated.append(LETTERS[num]    )
            elif symbol.islower():
                translated.append(LETTERS[num].lower()    )

            key_index += 1
            if key_index == len(UpperCamelCase__    ):
                __lowerCamelCase          =  0
        else:
            translated.append(UpperCamelCase__    )
    return "".join(UpperCamelCase__    )


if __name__ == "__main__":
  main()
