





A       :   Any					= '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''







def   __lowerCamelCase   (				)						->							None:






		"""simple docstring"""

		A__     =  input("""Enter message: """       )
		A__     =  input("""Enter key [alphanumeric]: """       )
		A__     =  input("""Encrypt/Decrypt [e/d]: """       )

		if mode.lower().startswith("""e"""       ):
				A__     =  """encrypt"""
				A__     =  encrypt_message(__a       ,	__a       )
		elif mode.lower().startswith("""d"""       ):
				A__     =  """decrypt"""
				A__     =  decrypt_message(__a       ,	__a       )

		print(F'\n{mode.title()}ed message:'       )
		print(__a       )







def   __lowerCamelCase   (				__a  :str       ,	__a  :str       )						->							str:






		"""simple docstring"""

		return translate_message(__a       ,	__a       ,	"""encrypt"""       )







def   __lowerCamelCase   (				__a  :str       ,	__a  :str       )						->							str:






		"""simple docstring"""

		return translate_message(__a       ,	__a       ,	"""decrypt"""       )







def   __lowerCamelCase   (				__a  :str       ,	__a  :str       ,	__a  :str       )						->							str:






		"""simple docstring"""

		A__     =  []
		A__     =  0
		A__     =  key.upper()

		for symbol in message:
				A__     =  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(__a       )

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

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


if __name__ == "__main__":
					main()










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


A       :   Optional[int]					= logging.get_logger(__name__)

A       :   Dict					= {
    '''vinvino02/glpn-kitti''': '''https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json''',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}


class     A     (SCREAMING_SNAKE_CASE       ):
			'''simple docstring'''




			__lowerCamelCase      :			Tuple							     =       '''glpn'''






			def __init__(     self  :       Optional[int]				,      __lowerCAmelCase  :       Union[str, Any]=3				,      __lowerCAmelCase  :       Any=4				,      __lowerCAmelCase  :       Tuple=[2, 2, 2, 2]				,      __lowerCAmelCase  :       int=[8, 4, 2, 1]				,      __lowerCAmelCase  :       int=[32, 64, 1_60, 2_56]				,      __lowerCAmelCase  :       str=[7, 3, 3, 3]				,      __lowerCAmelCase  :       Dict=[4, 2, 2, 2]				,      __lowerCAmelCase  :       List[str]=[1, 2, 5, 8]				,      __lowerCAmelCase  :       List[Any]=[4, 4, 4, 4]				,      __lowerCAmelCase  :       str="gelu"				,      __lowerCAmelCase  :       Union[str, Any]=0.0				,      __lowerCAmelCase  :       Tuple=0.0				,      __lowerCAmelCase  :       List[Any]=0.0_2				,      __lowerCAmelCase  :       Dict=0.1				,      __lowerCAmelCase  :       Dict=1e-6				,      __lowerCAmelCase  :       Tuple=64				,      __lowerCAmelCase  :       Tuple=10				,      __lowerCAmelCase  :       Union[str, Any]=-1				,      **__lowerCAmelCase  :       Any				,      )      ->      Tuple:







					"""simple docstring"""






					super().__init__(**__lowerCAmelCase  )

					A__     =  num_channels
					A__     =  num_encoder_blocks
					A__     =  depths
					A__     =  sr_ratios
					A__     =  hidden_sizes
					A__     =  patch_sizes
					A__     =  strides
					A__     =  mlp_ratios
					A__     =  num_attention_heads
					A__     =  hidden_act
					A__     =  hidden_dropout_prob
					A__     =  attention_probs_dropout_prob
					A__     =  initializer_range
					A__     =  drop_path_rate
					A__     =  layer_norm_eps
					A__     =  decoder_hidden_size
					A__     =  max_depth
					A__     =  head_in_index



