"""simple docstring"""



import warnings
from typing import List, Optional, Union

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






class 				snake_case__     (   snake_case_   ):
 _snake_case   :			Dict           =		["""image_processor""", """tokenizer"""]
 _snake_case   :			Optional[Any]           =		"""ViltImageProcessor"""
 _snake_case   :			Union[str, Any]           =		("""BertTokenizer""", """BertTokenizerFast""")


 def __init__(				self  ,						lowerCamelCase=None  ,						lowerCamelCase=None  ,						**lowerCamelCase		):
        __a     				=  None
        if "feature_extractor" in kwargs:
               warnings.warn(
                   "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
                   " instead."  ,						lowerCamelCase  ,						)
               __a     				=  kwargs.pop("feature_extractor"		)

        __a     				=  image_processor if image_processor is not None else feature_extractor
        if image_processor is None:
               raise ValueError("You need to specify an `image_processor`."		)
        if tokenizer is None:
               raise ValueError("You need to specify a `tokenizer`."		)

        super().__init__(lowerCamelCase  ,						lowerCamelCase		)
        __a     				=  self.image_processor


 def __call__(				self  ,						lowerCamelCase  ,						lowerCamelCase = None  ,						lowerCamelCase = True  ,						lowerCamelCase = False  ,						lowerCamelCase = None  ,						lowerCamelCase = None  ,						lowerCamelCase = 0  ,						lowerCamelCase = None  ,						lowerCamelCase = None  ,						lowerCamelCase = None  ,						lowerCamelCase = False  ,						lowerCamelCase = False  ,						lowerCamelCase = False  ,						lowerCamelCase = False  ,						lowerCamelCase = True  ,						lowerCamelCase = None  ,						**lowerCamelCase  ,						):
        __a     				=  self.tokenizer(
            text=lowerCamelCase  ,						add_special_tokens=lowerCamelCase  ,						padding=lowerCamelCase  ,						truncation=lowerCamelCase  ,						max_length=lowerCamelCase  ,						stride=lowerCamelCase  ,						pad_to_multiple_of=lowerCamelCase  ,						return_token_type_ids=lowerCamelCase  ,						return_attention_mask=lowerCamelCase  ,						return_overflowing_tokens=lowerCamelCase  ,						return_special_tokens_mask=lowerCamelCase  ,						return_offsets_mapping=lowerCamelCase  ,						return_length=lowerCamelCase  ,						verbose=lowerCamelCase  ,						return_tensors=lowerCamelCase  ,						**lowerCamelCase  ,						)
        # add pixel_values + pixel_mask
        __a     				=  self.image_processor(lowerCamelCase  ,						return_tensors=lowerCamelCase		)
        encoding.update(lowerCamelCase		)

        return encoding


 def 		a__ (				self  ,						*lowerCamelCase  ,						**lowerCamelCase		):
        return self.tokenizer.batch_decode(*lowerCamelCase  ,						**lowerCamelCase		)


 def 		a__ (				self  ,						*lowerCamelCase  ,						**lowerCamelCase		):
        return self.tokenizer.decode(*lowerCamelCase  ,						**lowerCamelCase		)


 @property
 def 		a__ (				self		):
        __a     				=  self.tokenizer.model_input_names
        __a     				=  self.image_processor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names		)		)


 @property
 def 		a__ (				self		):
        warnings.warn(
            "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."  ,						lowerCamelCase  ,						)
        return self.image_processor_class






 @property
 def 		a__ (				self		):
        warnings.warn(
            "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."  ,						lowerCamelCase  ,						)
        return self.image_processor

"""simple docstring"""



SCREAMING_SNAKE_CASE__:Any			=	{
    """A""": """.-""", """B""": """-...""", """C""": """-.-.""", """D""": """-..""", """E""": """.""", """F""": """..-.""", """G""": """--.""",
    """H""": """....""", """I""": """..""", """J""": """.---""", """K""": """-.-""", """L""": """.-..""", """M""": """--""", """N""": """-.""",
    """O""": """---""", """P""": """.--.""", """Q""": """--.-""", """R""": """.-.""", """S""": """...""", """T""": """-""", """U""": """..-""",
    """V""": """...-""", """W""": """.--""", """X""": """-..-""", """Y""": """-.--""", """Z""": """--..""", """1""": """.----""",
    """2""": """..---""", """3""": """...--""", """4""": """....-""", """5""": """.....""", """6""": """-....""", """7""": """--...""",
    """8""": """---..""", """9""": """----.""", """0""": """-----""", """&""": """.-...""", """@""": """.--.-.""",
    """:""": """---...""", """,""": """--..--""", """.""": """.-.-.-""", """'""": """.----.""", """\"""": """.-..-.""",
    """?""": """..--..""", """/""": """-..-.""", """=""": """-...-""", """+""": """.-.-.""", """-""": """-....-""",
    """(""": """-.--.""", """)""": """-.--.-""", """!""": """-.-.--""", """ """: """/"""
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
SCREAMING_SNAKE_CASE__:Any			=	{value: key for key, value in MORSE_CODE_DICT.items()}



def 					_lowerCamelCase(					a							):
       return " ".join(MORSE_CODE_DICT[char] for char in message.upper()							)



def 					_lowerCamelCase(					a							):
       return "".join(REVERSE_DICT[char] for char in message.split()							)



def 					_lowerCamelCase(					):
       __a     				=  "Morse code here!"
       print(a							)
       __a     				=  encrypt(a							)
       print(a							)
       __a     				=  decrypt(a							)
       print(a							)


if __name__ == "__main__":
   main()
