




import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


_lowerCamelCase  :			List[str]        =       logging.get_logger(__name__)

_lowerCamelCase  :			List[str]        =       {
    """Intel/dpt-large""": """https://huggingface.co/Intel/dpt-large/resolve/main/config.json""",
    # See all DPT models at https://huggingface.co/models?filter=dpt
}

class        lowercase      (    SCREAMING_SNAKE_CASE__):
				__lowerCAmelCase    :    Optional[int]         =   """dpt"""







				def __init__(							self   :					List[str]      ,     _lowerCamelCase   :					Optional[Any]=7_68      ,     _lowerCamelCase   :					Any=12      ,     _lowerCamelCase   :					Union[str, Any]=12      ,     _lowerCamelCase   :					str=30_72      ,     _lowerCamelCase   :					int="gelu"      ,     _lowerCamelCase   :					List[str]=0.0      ,     _lowerCamelCase   :					str=0.0      ,     _lowerCamelCase   :					str=0.02      ,     _lowerCamelCase   :					List[str]=1E-12      ,     _lowerCamelCase   :					Optional[int]=3_84      ,     _lowerCamelCase   :					Union[str, Any]=16      ,     _lowerCamelCase   :					Dict=3      ,     _lowerCamelCase   :					Optional[int]=False      ,     _lowerCamelCase   :					Dict=True      ,     _lowerCamelCase   :					int=[2, 5, 8, 11]      ,     _lowerCamelCase   :					Optional[int]="project"      ,     _lowerCamelCase   :					Optional[Any]=[4, 2, 1, 0.5]      ,     _lowerCamelCase   :					Tuple=[96, 1_92, 3_84, 7_68]      ,     _lowerCamelCase   :					Union[str, Any]=2_56      ,     _lowerCamelCase   :					int=-1      ,     _lowerCamelCase   :					Any=False      ,     _lowerCamelCase   :					str=True      ,     _lowerCamelCase   :					Union[str, Any]=0.4      ,     _lowerCamelCase   :					Optional[Any]=2_55      ,     _lowerCamelCase   :					Tuple=0.1      ,     _lowerCamelCase   :					Optional[int]=[1, 10_24, 24, 24]      ,     _lowerCamelCase   :					Tuple=[0, 1]      ,     _lowerCamelCase   :					str=None      ,     **_lowerCamelCase   :					str      ,     ):



					"""simple docstring"""

					super().__init__(**snake_case__       )

					A_  :				Union[str, Any]	   =		hidden_size
					A_  :				List[str]	   =		is_hybrid

					if self.is_hybrid:
						if backbone_config is None:
							logger.info('''Initializing the config with a `BiT` backbone.'''       )
							A_  :				Optional[Any]	   =		{
							    "global_padding": "same",
							    "layer_type": "bottleneck",
							    "depths": [3, 4, 9],
							    "out_features": ["stage1", "stage2", "stage3"],
							    "embedding_dynamic_padding": True,
							}
							A_  :				str	   =		BitConfig(**snake_case__       )
						elif isinstance(snake_case__      ,     snake_case__       ):
							logger.info('''Initializing the config with a `BiT` backbone.'''       )
							A_  :				Optional[Any]	   =		BitConfig(**snake_case__       )
						elif isinstance(snake_case__      ,     snake_case__       ):
							A_  :				str	   =		backbone_config
						else:
							raise ValueError(
							    F"""backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}."""       )

						A_  :				Any	   =		backbone_featmap_shape
						A_  :				Optional[Any]	   =		neck_ignore_stages

						if readout_type != "project":
							raise ValueError('''Readout type must be \'project\' when using `DPT-hybrid` mode.'''       )
					else:
						A_  :				List[Any]	   =		None
						A_  :				int	   =		None
						A_  :				List[Any]	   =		[]

					A_  :				Tuple	   =		num_hidden_layers
					A_  :				Union[str, Any]	   =		num_attention_heads
					A_  :				Union[str, Any]	   =		intermediate_size
					A_  :				Union[str, Any]	   =		hidden_act
					A_  :				int	   =		hidden_dropout_prob
					A_  :				str	   =		attention_probs_dropout_prob
					A_  :				List[str]	   =		initializer_range
					A_  :				Union[str, Any]	   =		layer_norm_eps
					A_  :				List[Any]	   =		image_size
					A_  :				List[str]	   =		patch_size
					A_  :				str	   =		num_channels
					A_  :				Dict	   =		qkv_bias
					A_  :				List[Any]	   =		backbone_out_indices
					if readout_type not in ["ignore", "add", "project"]:
						raise ValueError('''Readout_type must be one of [\'ignore\', \'add\', \'project\']'''       )
					A_  :				List[Any]	   =		readout_type
					A_  :				List[str]	   =		reassemble_factors
					A_  :				Optional[Any]	   =		neck_hidden_sizes
					A_  :				Union[str, Any]	   =		fusion_hidden_size
					A_  :				Any	   =		head_in_index
					A_  :				int	   =		use_batch_norm_in_fusion_residual
					# auxiliary head attributes (semantic segmentation)
					A_  :				Optional[int]	   =		use_auxiliary_head
					A_  :				Tuple	   =		auxiliary_loss_weight
					A_  :				Dict	   =		semantic_loss_ignore_index
					A_  :				Any	   =		semantic_classifier_dropout







				def 					a_  (							self   :					Dict       ):



					"""simple docstring"""

					A_  :				int	   =		copy.deepcopy(self.__dict__       )

					if output["backbone_config"] is not None:
						A_  :				Union[str, Any]	   =		self.backbone_config.to_dict()

					A_  :				int	   =		self.__class__.model_type
					return output











"""simple docstring"""

from collections.abc import Generator
from math import sin

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	if len(_UpperCAmelCase	) != 32:
		raise ValueError('''Input must be of length 32'''	)

	A_  :				int	   =		b''''''
	for i in [3, 2, 1, 0]:
		little_endian += string_aa[8 * i : 8 * i + 8]
	return little_endian

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	if i < 0:
		raise ValueError('''Input must be non-negative'''	)

	A_  :				int	   =		format(_UpperCAmelCase  ,      '''08x'''	)[-8:]
	A_  :				Optional[Any]	   =		b''''''
	for i in [3, 2, 1, 0]:
		little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode('''utf-8'''	)
	return little_endian_hex

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	A_  :				int	   =		b''''''
	for char in message:
		bit_string += format(_UpperCAmelCase  ,      '''08b'''	).encode('''utf-8'''	)
	A_  :				Optional[Any]	   =		format(len(_UpperCAmelCase	)  ,      '''064b'''	).encode('''utf-8'''	)

	# Pad bit_string to a multiple of 512 chars
	bit_string += b"1"
	while len(_UpperCAmelCase	) % 512 != 448:
		bit_string += b"0"
	bit_string += to_little_endian(start_len[32:]	) + to_little_endian(start_len[:32]	)

	return bit_string

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	if len(_UpperCAmelCase	) % 512 != 0:
		raise ValueError('''Input must have length that\'s a multiple of 512'''	)

	for pos in range(0  ,      len(_UpperCAmelCase	)  ,      512	):
		A_  :				Union[str, Any]	   =		bit_string[pos : pos + 512]
		A_  :				Optional[int]	   =		[]
		for i in range(0  ,      512  ,      32	):
			block_words.append(int(to_little_endian(block[i : i + 32]	)  ,      2	)	)
		yield block_words

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	if i < 0:
		raise ValueError('''Input must be non-negative'''	)

	A_  :				str	   =		format(_UpperCAmelCase  ,      '''032b'''	)
	A_  :				List[str]	   =		''''''
	for c in i_str:
		new_str += "1" if c == "0" else "0"
	return int(_UpperCAmelCase  ,      2	)

def 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	return (a + b) % 2**32

def 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	if i < 0:
		raise ValueError('''Input must be non-negative'''	)
	if shift < 0:
		raise ValueError('''Shift must be non-negative'''	)
	return ((i << shift) ^ (i >> (32 - shift))) % 2**32

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	A_  :				Any	   =		preprocess(_UpperCAmelCase	)

	A_  :				Any	   =		[int(2**32 * abs(sin(i + 1	)	)	) for i in range(64	)]

	# Starting states
	A_  :				List[str]	   =		0x6_7_4_5_2_3_0_1
	A_  :				str	   =		0xe_f_c_d_a_b_8_9
	A_  :				Union[str, Any]	   =		0x9_8_b_a_d_c_f_e
	A_  :				Dict	   =		0x1_0_3_2_5_4_7_6

	A_  :				int	   =		[
	    7,
	    12,
	    17,
	    22,
	    7,
	    12,
	    17,
	    22,
	    7,
	    12,
	    17,
	    22,
	    7,
	    12,
	    17,
	    22,
	    5,
	    9,
	    14,
	    20,
	    5,
	    9,
	    14,
	    20,
	    5,
	    9,
	    14,
	    20,
	    5,
	    9,
	    14,
	    20,
	    4,
	    11,
	    16,
	    23,
	    4,
	    11,
	    16,
	    23,
	    4,
	    11,
	    16,
	    23,
	    4,
	    11,
	    16,
	    23,
	    6,
	    10,
	    15,
	    21,
	    6,
	    10,
	    15,
	    21,
	    6,
	    10,
	    15,
	    21,
	    6,
	    10,
	    15,
	    21,
	]

	# Process bit string in chunks, each with 16 32-char words
	for block_words in get_block_words(_UpperCAmelCase	):
		A_  :				str	   =		aa
		A_  :				Tuple	   =		ba
		A_  :				Tuple	   =		ca
		A_  :				int	   =		da

		# Hash current chunk
		for i in range(64	):
			if i <= 15:
				# f = (b & c) | (not_32(b) & d)     # Alternate definition for f
				A_  :				str	   =		d ^ (b & (c ^ d))
				A_  :				int	   =		i
			elif i <= 31:
				# f = (d & b) | (not_32(d) & c)     # Alternate definition for f
				A_  :				List[Any]	   =		c ^ (d & (b ^ c))
				A_  :				Optional[int]	   =		(5 * i + 1) % 16
			elif i <= 47:
				A_  :				Optional[Any]	   =		b ^ c ^ d
				A_  :				List[Any]	   =		(3 * i + 5) % 16
			else:
				A_  :				Dict	   =		c ^ (b | not_aa(_UpperCAmelCase	))
				A_  :				Dict	   =		(7 * i) % 16
			A_  :				Optional[int]	   =		(f + a + added_consts[i] + block_words[g]) % 2**32
			A_  :				List[str]	   =		d
			A_  :				str	   =		c
			A_  :				Tuple	   =		b
			A_  :				Tuple	   =		sum_aa(_UpperCAmelCase  ,      left_rotate_aa(_UpperCAmelCase  ,      shift_amounts[i]	)	)

		# Add hashed chunk to running total
		A_  :				str	   =		sum_aa(_UpperCAmelCase  ,      _UpperCAmelCase	)
		A_  :				int	   =		sum_aa(_UpperCAmelCase  ,      _UpperCAmelCase	)
		A_  :				int	   =		sum_aa(_UpperCAmelCase  ,      _UpperCAmelCase	)
		A_  :				Optional[Any]	   =		sum_aa(_UpperCAmelCase  ,      _UpperCAmelCase	)

	A_  :				Dict	   =		reformat_hex(_UpperCAmelCase	) + reformat_hex(_UpperCAmelCase	) + reformat_hex(_UpperCAmelCase	) + reformat_hex(_UpperCAmelCase	)
	return digest


if __name__ == "__main__":
		import doctest

		doctest.testmod()





