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

class    lowerCAmelCase__     :






		def __init__(		self		:							Union[str, Any]							,			SCREAMING_SNAKE_CASE__		:							Optional[Any]  )     ->							Any:
						__lowerCamelCase    					=	data
						__lowerCamelCase    					=	[0X67_45_23_01, 0XEF_CD_AB_89, 0X98_BA_DC_FE, 0X10_32_54_76, 0XC3_D2_E1_F0]






		@staticmethod
		def  __A       (		SCREAMING_SNAKE_CASE__		:							int							,			SCREAMING_SNAKE_CASE__		:							Union[str, Any]  )     ->							str:
						return ((n << b) | (n >> (32 - b))) & 0XFF_FF_FF_FF






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






		def  __A       (		self		:							Optional[int]  )     ->							List[str]:
						return [
						    self.padded_data[i : i + 64] for i in range(0							,			len(self.padded_data  )							,			64  )
						]






		def  __A       (		self		:							List[Any]							,			SCREAMING_SNAKE_CASE__		:							List[str]  )     ->							int:
						__lowerCamelCase    					=	list(struct.unpack('''>16L'''							,			SCREAMING_SNAKE_CASE__  )  ) + [0] * 64
						for i in range(16							,			80  ):
										__lowerCamelCase    					=	self.rotate((w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16])							,			1  )
						return w







		def  __A       (		self		:							Union[str, Any]  )     ->							List[str]:
						__lowerCamelCase    					=	self.padding()
						__lowerCamelCase    					=	self.split_blocks()
						for block in self.blocks:
										__lowerCamelCase    					=	self.expand_block(SCREAMING_SNAKE_CASE__  )
										__lowerCamelCase					,    __lowerCamelCase					,    __lowerCamelCase					,    __lowerCamelCase					,    __lowerCamelCase    					=	self.h
										for i in range(0							,			80  ):
														if 0 <= i < 20:
																		__lowerCamelCase    					=	(b & c) | ((~b) & d)
																		__lowerCamelCase    					=	0X5A_82_79_99
														elif 20 <= i < 40:
																		__lowerCamelCase    					=	b ^ c ^ d
																		__lowerCamelCase    					=	0X6E_D9_EB_A1
														elif 40 <= i < 60:
																		__lowerCamelCase    					=	(b & c) | (b & d) | (c & d)
																		__lowerCamelCase    					=	0X8F_1B_BC_DC
														elif 60 <= i < 80:
																		__lowerCamelCase    					=	b ^ c ^ d
																		__lowerCamelCase    					=	0XCA_62_C1_D6
														__lowerCamelCase					,    __lowerCamelCase					,    __lowerCamelCase					,    __lowerCamelCase					,    __lowerCamelCase    					=	(
														    self.rotate(SCREAMING_SNAKE_CASE__							,			5  ) + f + e + k + expanded_block[i] & 0XFF_FF_FF_FF,
														    a,
														    self.rotate(SCREAMING_SNAKE_CASE__							,			30  ),
														    c,
														    d,
														)
										__lowerCamelCase    					=	(
										    self.h[0] + a & 0XFF_FF_FF_FF,
										    self.h[1] + b & 0XFF_FF_FF_FF,
										    self.h[2] + c & 0XFF_FF_FF_FF,
										    self.h[3] + d & 0XFF_FF_FF_FF,
										    self.h[4] + e & 0XFF_FF_FF_FF,
										)
						return ("{:08x}" * 5).format(*self.h  )





def  __magic_name__ (   )			->   Union[str, Any]:
				__lowerCamelCase    					=	B'''Test String'''
				assert SHAaHash(__lowerCAmelCase							).final_hash() == hashlib.shaa(__lowerCAmelCase							).hexdigest()  # noqa: S324




def  __magic_name__ (   )			->   List[Any]:
				__lowerCamelCase    					=	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'''							)
				__lowerCamelCase    					=	parser.parse_args()
				__lowerCamelCase    					=	args.input_string
				# In any case hash input should be a bytestring
				if args.input_file:
								with open(args.input_file		,  '''rb'''							) as f:
												__lowerCamelCase    					=	f.read()
				else:
								__lowerCamelCase    					=	bytes(__lowerCAmelCase		,  '''utf-8'''							)
				print(SHAaHash(__lowerCAmelCase							).final_hash()							)


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

					doctest.testmod()





import copy
from typing import Dict, List, Optional

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


SCREAMING_SNAKE_CASE__   :			Dict												=    {
    "facebook/mask2former-swin-small-coco-instance": (
        "https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json"
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

SCREAMING_SNAKE_CASE__   :			int												=    logging.get_logger(__name__)

class    lowerCAmelCase__     (	__lowercase			):
		a__       :						Any        =		"""mask2former"""
		a__       :						Dict        =		["""swin"""]
		a__       :						Any        =		{"""hidden_size""": """hidden_dim"""}






		def __init__(		self		:							Any							,			SCREAMING_SNAKE_CASE__		:							Optional[Dict] = None							,			SCREAMING_SNAKE_CASE__		:							int = 2_56							,			SCREAMING_SNAKE_CASE__		:							int = 2_56							,			SCREAMING_SNAKE_CASE__		:							int = 2_56							,			SCREAMING_SNAKE_CASE__		:							int = 10_24							,			SCREAMING_SNAKE_CASE__		:							str = "relu"							,			SCREAMING_SNAKE_CASE__		:							int = 6							,			SCREAMING_SNAKE_CASE__		:							int = 10							,			SCREAMING_SNAKE_CASE__		:							int = 8							,			SCREAMING_SNAKE_CASE__		:							float = 0.0							,			SCREAMING_SNAKE_CASE__		:							int = 20_48							,			SCREAMING_SNAKE_CASE__		:							bool = False							,			SCREAMING_SNAKE_CASE__		:							bool = False							,			SCREAMING_SNAKE_CASE__		:							int = 4							,			SCREAMING_SNAKE_CASE__		:							int = 2_55							,			SCREAMING_SNAKE_CASE__		:							int = 1_00							,			SCREAMING_SNAKE_CASE__		:							float = 0.1							,			SCREAMING_SNAKE_CASE__		:							float = 2.0							,			SCREAMING_SNAKE_CASE__		:							float = 5.0							,			SCREAMING_SNAKE_CASE__		:							float = 5.0							,			SCREAMING_SNAKE_CASE__		:							int = 1_25_44							,			SCREAMING_SNAKE_CASE__		:							float = 3.0							,			SCREAMING_SNAKE_CASE__		:							float = 0.75							,			SCREAMING_SNAKE_CASE__		:							float = 0.02							,			SCREAMING_SNAKE_CASE__		:							float = 1.0							,			SCREAMING_SNAKE_CASE__		:							bool = True							,			SCREAMING_SNAKE_CASE__		:							List[int] = [4, 8, 16, 32]							,			SCREAMING_SNAKE_CASE__		:							bool = None							,			**SCREAMING_SNAKE_CASE__		:							Tuple							,			)     ->							str:
						if backbone_config is None:
										logger.info('''`backbone_config` is `None`. Initializing the config with the default `Swin` backbone.'''  )
										__lowerCamelCase    					=	CONFIG_MAPPING['''swin'''](
										    image_size=2_24							,			in_channels=3							,			patch_size=4							,			embed_dim=96							,			depths=[2, 2, 18, 2]							,			num_heads=[3, 6, 12, 24]							,			window_size=7							,			drop_path_rate=0.3							,			use_absolute_embeddings=SCREAMING_SNAKE_CASE__							,			out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']							,			)

						if isinstance(SCREAMING_SNAKE_CASE__							,			SCREAMING_SNAKE_CASE__  ):
										__lowerCamelCase    					=	backbone_config.pop('''model_type'''  )
										__lowerCamelCase    					=	CONFIG_MAPPING[backbone_model_type]
										__lowerCamelCase    					=	config_class.from_dict(SCREAMING_SNAKE_CASE__  )

						# verify that the backbone is supported
						if backbone_config.model_type not in self.backbones_supported:
										logger.warning_once(
										    f'''Backbone {backbone_config.model_type} is not a supported model and may not be compatible with Mask2Former. '''
										    f'''Supported model types: {','.join(self.backbones_supported  )}'''  )

						__lowerCamelCase    					=	backbone_config
						__lowerCamelCase    					=	feature_size
						__lowerCamelCase    					=	mask_feature_size
						__lowerCamelCase    					=	hidden_dim
						__lowerCamelCase    					=	encoder_feedforward_dim
						__lowerCamelCase    					=	activation_function
						__lowerCamelCase    					=	encoder_layers
						__lowerCamelCase    					=	decoder_layers
						__lowerCamelCase    					=	num_attention_heads
						__lowerCamelCase    					=	dropout
						__lowerCamelCase    					=	dim_feedforward
						__lowerCamelCase    					=	pre_norm
						__lowerCamelCase    					=	enforce_input_projection
						__lowerCamelCase    					=	common_stride
						__lowerCamelCase    					=	ignore_value
						__lowerCamelCase    					=	num_queries
						__lowerCamelCase    					=	no_object_weight
						__lowerCamelCase    					=	class_weight
						__lowerCamelCase    					=	mask_weight
						__lowerCamelCase    					=	dice_weight
						__lowerCamelCase    					=	train_num_points
						__lowerCamelCase    					=	oversample_ratio
						__lowerCamelCase    					=	importance_sample_ratio
						__lowerCamelCase    					=	init_std
						__lowerCamelCase    					=	init_xavier_std
						__lowerCamelCase    					=	use_auxiliary_loss
						__lowerCamelCase    					=	feature_strides
						__lowerCamelCase    					=	output_auxiliary_logits
						__lowerCamelCase    					=	decoder_layers

						super().__init__(**SCREAMING_SNAKE_CASE__  )






		@classmethod
		def  __A       (		cls		:							Any							,			SCREAMING_SNAKE_CASE__		:							PretrainedConfig							,			**SCREAMING_SNAKE_CASE__		:							Optional[Any]  )     ->							List[Any]:
						return cls(
						    backbone_config=SCREAMING_SNAKE_CASE__							,			**SCREAMING_SNAKE_CASE__							,			)







		def  __A       (		self		:							Any  )     ->							Dict[str, any]:
						__lowerCamelCase    					=	copy.deepcopy(self.__dict__  )
						__lowerCamelCase    					=	self.backbone_config.to_dict()
						__lowerCamelCase    					=	self.__class__.model_type
						return output



