






'''simple docstring'''







UpperCamelCase    :      List[str]  			=		{
    '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
UpperCamelCase    :      int  			=		{value: key for key, value in MORSE_CODE_DICT.items()}
def 						A__			(				__lowerCAmelCase		:			Optional[int]						):
						return " ".join(MORSE_CODE_DICT[char] for char in message.upper()						)
def 						A__			(				__lowerCAmelCase		:			Any						):
						return "".join(REVERSE_DICT[char] for char in message.split()						)
def 						A__			(				):
						lowerCamelCase__         =  """Morse code here!"""
						print(__snake_case						)
						lowerCamelCase__         =  encrypt(__snake_case						)
						print(__snake_case						)
						lowerCamelCase__         =  decrypt(__snake_case						)
						print(__snake_case						)


if __name__ == "__main__":
							main()









'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase    :      Tuple  			=		logging.get_logger(__name__)

UpperCamelCase    :      List[str]  			=		{
    'naver-clova-ix/donut-base': 'https://huggingface.co/naver-clova-ix/donut-base/resolve/main/config.json',
    # See all Donut models at https://huggingface.co/models?filter=donut-swin
}




class 		UpperCamelCase__    (a			):




		'''simple docstring'''





		_UpperCamelCase				  =					'donut-swin'

		_UpperCamelCase				  =					{
		    'num_attention_heads': 'num_heads',
		    'num_hidden_layers': 'num_layers',
		}






		def __init__(      self   ,_lowerCAmelCase=2_24   ,_lowerCAmelCase=4   ,_lowerCAmelCase=3   ,_lowerCAmelCase=96   ,_lowerCAmelCase=[2, 2, 6, 2]   ,_lowerCAmelCase=[3, 6, 12, 24]   ,_lowerCAmelCase=7   ,_lowerCAmelCase=4.0   ,_lowerCAmelCase=True   ,_lowerCAmelCase=0.0   ,_lowerCAmelCase=0.0   ,_lowerCAmelCase=0.1   ,_lowerCAmelCase="gelu"   ,_lowerCAmelCase=False   ,_lowerCAmelCase=0.02   ,_lowerCAmelCase=1E-5   ,**_lowerCAmelCase   ,):
								super().__init__(**_lowerCAmelCase       )

								lowerCamelCase__         =  image_size
								lowerCamelCase__         =  patch_size
								lowerCamelCase__         =  num_channels
								lowerCamelCase__         =  embed_dim
								lowerCamelCase__         =  depths
								lowerCamelCase__         =  len(_lowerCAmelCase       )
								lowerCamelCase__         =  num_heads
								lowerCamelCase__         =  window_size
								lowerCamelCase__         =  mlp_ratio
								lowerCamelCase__         =  qkv_bias
								lowerCamelCase__         =  hidden_dropout_prob
								lowerCamelCase__         =  attention_probs_dropout_prob
								lowerCamelCase__         =  drop_path_rate
								lowerCamelCase__         =  hidden_act
								lowerCamelCase__         =  use_absolute_embeddings
								lowerCamelCase__         =  layer_norm_eps
								lowerCamelCase__         =  initializer_range
								# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
								# this indicates the channel dimension after the last stage of the model
								lowerCamelCase__         =  int(embed_dim * 2 ** (len(_lowerCAmelCase       ) - 1)       )

