
'''simple docstring'''




import argparse
import hashlib  # hashlib is only used inside the Test class
import struct





class 					A							:





     def __init__(				self		,     SCREAMING_SNAKE_CASE      )					->							Dict:






         """simple docstring"""






         A			:  Optional[int]   =		data
         A			:  Optional[int]   =		[0X67_452_301, 0XEF_CDA_B89, 0X98_BAD_CFE, 0X10_325_476, 0XC3_D2E_1F0]





     @staticmethod
     def 							__lowerCAmelCase				(				SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      )					->							Any:






         """simple docstring"""






         return ((n << b) | (n >> (32 - b))) & 0XFF_FFF_FFF





     def 							__lowerCAmelCase				(				self      )					->							Optional[Any]:






         """simple docstring"""






         A			:  Optional[int]   =		b'''\x80''' + b'''\x00''' * (63 - (len(self.data      ) + 8) % 64)
         A			:  Optional[int]   =		self.data + padding + struct.pack('''>Q'''		,     8 * len(self.data      )      )
         return padded_data





     def 							__lowerCAmelCase				(				self      )					->							Any:






         """simple docstring"""






         return [
             self.padded_data[i : i + 64] for i in range(0		,     len(self.padded_data      )		,     64      )
         ]





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							List[Any]:






         """simple docstring"""






         A			:  int   =		list(struct.unpack('''>16L'''		,     SCREAMING_SNAKE_CASE      )      ) + [0] * 64
         for i in range(16		,     80      ):
             A			:  Optional[int]   =		self.rotate((w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16])		,     1      )
         return w





     def 							__lowerCAmelCase				(				self      )					->							Dict:






         """simple docstring"""






         A			:  Optional[int]   =		self.padding()
         A			:  List[Any]   =		self.split_blocks()
         for block in self.blocks:
             A			:  Optional[int]   =		self.expand_block(SCREAMING_SNAKE_CASE      )
             A,    A,    A,    A,    A			:  Union[str, Any]   =		self.h
             for i in range(0		,     80      ):
                 if 0 <= i < 20:
                     A			:  Optional[Any]   =		(b & c) | ((~b) & d)
                     A			:  Dict   =		0X5A_827_999
                 elif 20 <= i < 40:
                     A			:  Union[str, Any]   =		b ^ c ^ d
                     A			:  Optional[int]   =		0X6E_D9E_BA1
                 elif 40 <= i < 60:
                     A			:  Union[str, Any]   =		(b & c) | (b & d) | (c & d)
                     A			:  int   =		0X8F_1BB_CDC
                 elif 60 <= i < 80:
                     A			:  str   =		b ^ c ^ d
                     A			:  Optional[int]   =		0XCA_62C_1D6
                 A,    A,    A,    A,    A			:  Tuple   =		(
                     self.rotate(SCREAMING_SNAKE_CASE		,     5      ) + f + e + k + expanded_block[i] & 0XFF_FFF_FFF,
                     a,
                     self.rotate(SCREAMING_SNAKE_CASE		,     30      ),
                     c,
                     d,
                 )
             A			:  Optional[Any]   =		(
                 self.h[0] + a & 0XFF_FFF_FFF,
                 self.h[1] + b & 0XFF_FFF_FFF,
                 self.h[2] + c & 0XFF_FFF_FFF,
                 self.h[3] + d & 0XFF_FFF_FFF,
                 self.h[4] + e & 0XFF_FFF_FFF,
             )
         return ("{:08x}" * 5).format(*self.h      )







def 						lowerCAmelCase_							(  ):




    '''simple docstring'''



    A			:  str   =		B'''Test String'''
    assert SHAaHash(snake_case__		).final_hash() == hashlib.shaa(snake_case__		).hexdigest()  # noqa: S324







def 						lowerCAmelCase_							(  ):




    '''simple docstring'''



    A			:  Optional[Any]   =		argparse.ArgumentParser(description='''Process some strings or files'''		)
    parser.add_argument(
        '''--string'''						,							dest='''input_string'''						,							default='''Hello World!! Welcome to Cryptography'''						,							help='''Hash the string'''						,							)
    parser.add_argument('''--file'''						,							dest='''input_file'''						,							help='''Hash contents of a file'''		)
    A			:  Any   =		parser.parse_args()
    A			:  Dict   =		args.input_string
    # In any case hash input should be a bytestring
    if args.input_file:
        with open(args.input_file						,							'''rb'''		) as f:
            A			:  Optional[Any]   =		f.read()
    else:
        A			:  List[Any]   =		bytes(snake_case__						,							'''utf-8'''		)
    print(SHAaHash(snake_case__		).final_hash()		)


if __name__ == "__main__":
      main()
      import doctest

      doctest.testmod()






'''simple docstring'''




import copy

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


lowercase     :							Optional[Any]       						=     logging.get_logger(__name__)

lowercase     :							int       						=     {
    'ut/deta': 'https://huggingface.co/ut/deta/resolve/main/config.json',
}





class 					A							(				__snake_case		):
     __magic_name__          =						'''deta'''
     __magic_name__          =						{
         '''hidden_size''': '''d_model''',
         '''num_attention_heads''': '''encoder_attention_heads''',
     }





     def __init__(				self		,     SCREAMING_SNAKE_CASE=None		,     SCREAMING_SNAKE_CASE=900		,     SCREAMING_SNAKE_CASE=2048		,     SCREAMING_SNAKE_CASE=6		,     SCREAMING_SNAKE_CASE=2048		,     SCREAMING_SNAKE_CASE=8		,     SCREAMING_SNAKE_CASE=6		,     SCREAMING_SNAKE_CASE=1024		,     SCREAMING_SNAKE_CASE=8		,     SCREAMING_SNAKE_CASE=0.0		,     SCREAMING_SNAKE_CASE=True		,     SCREAMING_SNAKE_CASE="relu"		,     SCREAMING_SNAKE_CASE=256		,     SCREAMING_SNAKE_CASE=0.1		,     SCREAMING_SNAKE_CASE=0.0		,     SCREAMING_SNAKE_CASE=0.0		,     SCREAMING_SNAKE_CASE=0.02		,     SCREAMING_SNAKE_CASE=1.0		,     SCREAMING_SNAKE_CASE=True		,     SCREAMING_SNAKE_CASE=False		,     SCREAMING_SNAKE_CASE="sine"		,     SCREAMING_SNAKE_CASE=5		,     SCREAMING_SNAKE_CASE=4		,     SCREAMING_SNAKE_CASE=4		,     SCREAMING_SNAKE_CASE=True		,     SCREAMING_SNAKE_CASE=300		,     SCREAMING_SNAKE_CASE=True		,     SCREAMING_SNAKE_CASE=True		,     SCREAMING_SNAKE_CASE=1		,     SCREAMING_SNAKE_CASE=5		,     SCREAMING_SNAKE_CASE=2		,     SCREAMING_SNAKE_CASE=1		,     SCREAMING_SNAKE_CASE=1		,     SCREAMING_SNAKE_CASE=5		,     SCREAMING_SNAKE_CASE=2		,     SCREAMING_SNAKE_CASE=0.1		,     SCREAMING_SNAKE_CASE=0.25		,     **SCREAMING_SNAKE_CASE		,     )					->							Any:






         """simple docstring"""






         if backbone_config is None:
             logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''      )
             A			:  Optional[Any]   =		CONFIG_MAPPING['''resnet'''](out_features=['''stage2''', '''stage3''', '''stage4''']      )
         else:
             if isinstance(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      ):
                 A			:  List[Any]   =		backbone_config.pop('''model_type'''      )
                 A			:  List[Any]   =		CONFIG_MAPPING[backbone_model_type]
                 A			:  Optional[int]   =		config_class.from_dict(SCREAMING_SNAKE_CASE      )

         A			:  str   =		backbone_config
         A			:  Optional[int]   =		num_queries
         A			:  Dict   =		max_position_embeddings
         A			:  Optional[Any]   =		d_model
         A			:  Optional[Any]   =		encoder_ffn_dim
         A			:  List[str]   =		encoder_layers
         A			:  Tuple   =		encoder_attention_heads
         A			:  Optional[Any]   =		decoder_ffn_dim
         A			:  Optional[int]   =		decoder_layers
         A			:  List[str]   =		decoder_attention_heads
         A			:  Union[str, Any]   =		dropout
         A			:  str   =		attention_dropout
         A			:  Any   =		activation_dropout
         A			:  Optional[int]   =		activation_function
         A			:  Tuple   =		init_std
         A			:  Any   =		init_xavier_std
         A			:  Optional[Any]   =		encoder_layerdrop
         A			:  int   =		auxiliary_loss
         A			:  Dict   =		position_embedding_type
         # deformable attributes
         A			:  str   =		num_feature_levels
         A			:  Optional[int]   =		encoder_n_points
         A			:  Any   =		decoder_n_points
         A			:  Tuple   =		two_stage
         A			:  Dict   =		two_stage_num_proposals
         A			:  List[str]   =		with_box_refine
         A			:  List[str]   =		assign_first_stage
         if two_stage is True and with_box_refine is False:
             raise ValueError('''If two_stage is True, with_box_refine must be True.'''      )
         # Hungarian matcher
         A			:  Dict   =		class_cost
         A			:  Optional[int]   =		bbox_cost
         A			:  Optional[Any]   =		giou_cost
         # Loss coefficients
         A			:  int   =		mask_loss_coefficient
         A			:  int   =		dice_loss_coefficient
         A			:  Tuple   =		bbox_loss_coefficient
         A			:  int   =		giou_loss_coefficient
         A			:  Dict   =		eos_coefficient
         A			:  Optional[Any]   =		focal_alpha
         super().__init__(is_encoder_decoder=SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )





     @property
     def 							__lowerCAmelCase				(				self      )					->							int:






         """simple docstring"""






         return self.encoder_attention_heads





     @property
     def 							__lowerCAmelCase				(				self      )					->							int:






         """simple docstring"""






         return self.d_model





     def 							__lowerCAmelCase				(				self      )					->							Any:






         """simple docstring"""






         A			:  Any   =		copy.deepcopy(self.__dict__      )
         A			:  Dict   =		self.backbone_config.to_dict()
         A			:  List[Any]   =		self.__class__.model_type
         return output




