


import copy
from collections import OrderedDict
from typing import Dict, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


_UpperCAmelCase            =		logging.get_logger(__name__)

_UpperCAmelCase            =		{
    '''facebook/detr-resnet-50''': '''https://huggingface.co/facebook/detr-resnet-50/resolve/main/config.json''',
    # See all DETR models at https://huggingface.co/models?filter=detr
}





class UpperCAmelCase						( _a  ):


				'''simple docstring'''






				lowerCamelCase_    = """detr"""
				lowerCamelCase_    = ["""past_key_values"""]
				lowerCamelCase_    = {
				    """hidden_size""": """d_model""",
				    """num_attention_heads""": """encoder_attention_heads""",
				}
				def __init__(						self		,     lowercase=True		,     lowercase=None		,     lowercase=3		,     lowercase=1_0_0		,     lowercase=6		,     lowercase=2_0_4_8		,     lowercase=8		,     lowercase=6		,     lowercase=2_0_4_8		,     lowercase=8		,     lowercase=0.0		,     lowercase=0.0		,     lowercase=True		,     lowercase="relu"		,     lowercase=2_5_6		,     lowercase=0.1		,     lowercase=0.0		,     lowercase=0.0		,     lowercase=0.02		,     lowercase=1.0		,     lowercase=False		,     lowercase="sine"		,     lowercase="resnet50"		,     lowercase=True		,     lowercase=False		,     lowercase=1		,     lowercase=5		,     lowercase=2		,     lowercase=1		,     lowercase=1		,     lowercase=5		,     lowercase=2		,     lowercase=0.1		,     **lowercase		,     ):



						"""simple docstring"""





						if backbone_config is not None and use_timm_backbone:
								raise ValueError('You can\'t specify both `backbone_config` and `use_timm_backbone`.' )

						if not use_timm_backbone:
								if backbone_config is None:
										logger.info('`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.' )
										A_		:    List[str]         =				CONFIG_MAPPING["""resnet"""](out_features=['stage4'] )
								elif isinstance(__lowerCamelCase		,     __lowerCamelCase ):
										A_		:    int         =				backbone_config.get('model_type' )
										A_		:    Tuple         =				CONFIG_MAPPING[backbone_model_type]
										A_		:    List[Any]         =				config_class.from_dict(__lowerCamelCase )
								# set timm attributes to None
								A_		:    List[Any]         =				None, None, None

						A_		:    int         =				use_timm_backbone
						A_		:    Tuple         =				backbone_config
						A_		:    Union[str, Any]         =				num_channels
						A_		:    Any         =				num_queries
						A_		:    List[str]         =				d_model
						A_		:    Optional[Any]         =				encoder_ffn_dim
						A_		:    str         =				encoder_layers
						A_		:    str         =				encoder_attention_heads
						A_		:    Any         =				decoder_ffn_dim
						A_		:    Optional[Any]         =				decoder_layers
						A_		:    List[str]         =				decoder_attention_heads
						A_		:    str         =				dropout
						A_		:    Tuple         =				attention_dropout
						A_		:    int         =				activation_dropout
						A_		:    int         =				activation_function
						A_		:    int         =				init_std
						A_		:    Tuple         =				init_xavier_std
						A_		:    int         =				encoder_layerdrop
						A_		:    Any         =				decoder_layerdrop
						A_		:    Dict         =				encoder_layers
						A_		:    Any         =				auxiliary_loss
						A_		:    List[Any]         =				position_embedding_type
						A_		:    List[Any]         =				backbone
						A_		:    List[str]         =				use_pretrained_backbone
						A_		:    List[Any]         =				dilation
						# Hungarian matcher
						A_		:    Tuple         =				class_cost
						A_		:    Tuple         =				bbox_cost
						A_		:    Optional[int]         =				giou_cost
						# Loss coefficients
						A_		:    int         =				mask_loss_coefficient
						A_		:    List[Any]         =				dice_loss_coefficient
						A_		:    Optional[int]         =				bbox_loss_coefficient
						A_		:    Dict         =				giou_loss_coefficient
						A_		:    List[Any]         =				eos_coefficient
						super().__init__(is_encoder_decoder=__lowerCamelCase		,     **__lowerCamelCase )
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return self.encoder_attention_heads
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return self.d_model
				@classmethod
				def   lowerCAmelCase_       (						cls		,     lowercase		,     **lowercase ):



						"""simple docstring"""





						return cls(backbone_config=__lowerCamelCase		,     **__lowerCamelCase )







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Dict         =				copy.deepcopy(self.__dict__ )
						if output["backbone_config"] is not None:
								A_		:    List[str]         =				self.backbone_config.to_dict()
						A_		:    List[Any]         =				self.__class__.model_type
						return output





class UpperCAmelCase						( _a  ):


				'''simple docstring'''






				lowerCamelCase_    = version.parse('''1.11'''  )
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return OrderedDict(
						    [
						        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
						        ('pixel_mask', {0: 'batch'}),
						    ] )
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return 1E-5







				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return 1_2







_UpperCAmelCase            =		"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""




def     UpperCamelCase						(	):
		'''simple docstring'''




		A_		:    Tuple         =				input('Enter message: '     )
		A_		:    int         =				input('Enter key [alphanumeric]: '     )
		A_		:    Optional[Any]         =				input('Encrypt/Decrypt [e/d]: '     )

		if mode.lower().startswith('e'     ):
				A_		:    List[Any]         =				'encrypt'
				A_		:    int         =				encrypt_message(__lowercase						,__lowercase     )
		elif mode.lower().startswith('d'     ):
				A_		:    Optional[Any]         =				'decrypt'
				A_		:    Dict         =				decrypt_message(__lowercase						,__lowercase     )

		print(f'''\n{mode.title()}ed message:'''     )
		print(__lowercase     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		return translate_message(__lowercase						,__lowercase						,'encrypt'     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		return translate_message(__lowercase						,__lowercase						,'decrypt'     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		A_		:    Tuple         =				[]
		A_		:    str         =				0
		A_		:    Optional[int]         =				key.upper()

		for symbol in message:
				A_		:    Optional[Any]         =				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(__lowercase     )

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

						key_index += 1
						if key_index == len(__lowercase     ):
								A_		:    str         =				0
				else:
						translated.append(__lowercase     )
		return "".join(__lowercase     )


if __name__ == "__main__":
	main()






