



'''simple docstring'''




import warnings

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







class      _lowerCAmelCase							(      __UpperCAmelCase			):
	__SCREAMING_SNAKE_CASE       :		Tuple		      = ['image_processor', 'tokenizer']
	__SCREAMING_SNAKE_CASE       :		Union[str, Any]		      = 'CLIPImageProcessor'
	__SCREAMING_SNAKE_CASE       :		Any		      = ('XLMRobertaTokenizer', 'XLMRobertaTokenizerFast')


	def __init__(self	,				lowercase=None	,				lowercase=None	,				**lowercase							):
				A_     :						List[Any]     =					None
				if "feature_extractor" in kwargs:
							warnings.warn(
							    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
							    """ instead."""	,				lowercase	,				)
							A_     :						Dict     =					kwargs.pop("""feature_extractor"""							)

				A_     :						int     =					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__(lowercase	,				lowercase							)


	def __call__(self	,				lowercase=None	,				lowercase=None	,				lowercase=None	,				**lowercase							):

				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:
							A_     :						List[str]     =					self.tokenizer(lowercase	,				return_tensors=lowercase	,				**lowercase							)

				if images is not None:
							A_     :						Optional[int]     =					self.image_processor(lowercase	,				return_tensors=lowercase	,				**lowercase							)

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


	def    _a     (self	,				*lowercase	,				**lowercase							):
				return self.tokenizer.batch_decode(*lowercase	,				**lowercase							)


	def    _a     (self	,				*lowercase	,				**lowercase							):
				return self.tokenizer.decode(*lowercase	,				**lowercase							)


	@property
	def    _a     (self							):
				A_     :						Optional[Any]     =					self.tokenizer.model_input_names
				A_     :						Tuple     =					self.image_processor.model_input_names
				return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names							)							)




'''simple docstring'''




lowerCamelCase							: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
lowerCamelCase							:Any       = {value: key for key, value in MORSE_CODE_DICT.items()}



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			return " ".join(MORSE_CODE_DICT[char] for char in message.upper()   )



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			return "".join(REVERSE_DICT[char] for char in message.split()   )



def      a      (			):
			'''simple docstring'''





			A_     :						List[str]     =					"""Morse code here!"""
			print(lowerCamelCase__   )
			A_     :						str     =					encrypt(lowerCamelCase__   )
			print(lowerCamelCase__   )
			A_     :						Dict     =					decrypt(lowerCamelCase__   )
			print(lowerCamelCase__   )


if __name__ == "__main__":
						main()