



'''simple docstring'''




import copy

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


a     :    Any      						=					logging.get_logger(__name__)

a     :    Dict      						=					{
    """ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}

class     UpperCamelCase_				(							__magic_name__    ):
	lowercase    =				'deta'
	lowercase    =				{
	    'hidden_size': 'd_model',
	    'num_attention_heads': 'encoder_attention_heads',
	}





	def __init__(						self	,	A=None	,	A=900	,	A=2048	,	A=6	,	A=2048	,	A=8	,	A=6	,	A=1024	,	A=8	,	A=0.0	,	A=True	,	A="relu"	,	A=256	,	A=0.1	,	A=0.0	,	A=0.0	,	A=0.0_2	,	A=1.0	,	A=True	,	A=False	,	A="sine"	,	A=5	,	A=4	,	A=4	,	A=True	,	A=300	,	A=True	,	A=True	,	A=1	,	A=5	,	A=2	,	A=1	,	A=1	,	A=5	,	A=2	,	A=0.1	,	A=0.2_5	,	**A	,	)    ->    List[Any]:
								if backbone_config is None:
															logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""					)
															UpperCAmelCase  :	Optional[Any]							  =	CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""]					)
								else:
															if isinstance(A	,	A					):
																						UpperCAmelCase  :	Dict							  =	backbone_config.pop("""model_type"""					)
																						UpperCAmelCase  :	Dict							  =	CONFIG_MAPPING[backbone_model_type]
																						UpperCAmelCase  :	int							  =	config_class.from_dict(A					)

								UpperCAmelCase  :	Optional[Any]							  =	backbone_config
								UpperCAmelCase  :	Union[str, Any]							  =	num_queries
								UpperCAmelCase  :	Tuple							  =	max_position_embeddings
								UpperCAmelCase  :	List[Any]							  =	d_model
								UpperCAmelCase  :	List[str]							  =	encoder_ffn_dim
								UpperCAmelCase  :	Union[str, Any]							  =	encoder_layers
								UpperCAmelCase  :	int							  =	encoder_attention_heads
								UpperCAmelCase  :	Dict							  =	decoder_ffn_dim
								UpperCAmelCase  :	Tuple							  =	decoder_layers
								UpperCAmelCase  :	Optional[int]							  =	decoder_attention_heads
								UpperCAmelCase  :	str							  =	dropout
								UpperCAmelCase  :	Any							  =	attention_dropout
								UpperCAmelCase  :	Optional[int]							  =	activation_dropout
								UpperCAmelCase  :	List[Any]							  =	activation_function
								UpperCAmelCase  :	List[Any]							  =	init_std
								UpperCAmelCase  :	Optional[int]							  =	init_xavier_std
								UpperCAmelCase  :	str							  =	encoder_layerdrop
								UpperCAmelCase  :	Any							  =	auxiliary_loss
								UpperCAmelCase  :	Optional[int]							  =	position_embedding_type
								# deformable attributes
								UpperCAmelCase  :	Dict							  =	num_feature_levels
								UpperCAmelCase  :	List[Any]							  =	encoder_n_points
								UpperCAmelCase  :	Optional[Any]							  =	decoder_n_points
								UpperCAmelCase  :	Union[str, Any]							  =	two_stage
								UpperCAmelCase  :	str							  =	two_stage_num_proposals
								UpperCAmelCase  :	Optional[Any]							  =	with_box_refine
								UpperCAmelCase  :	int							  =	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
								UpperCAmelCase  :	int							  =	class_cost
								UpperCAmelCase  :	Optional[Any]							  =	bbox_cost
								UpperCAmelCase  :	int							  =	giou_cost
								# Loss coefficients
								UpperCAmelCase  :	Optional[int]							  =	mask_loss_coefficient
								UpperCAmelCase  :	Tuple							  =	dice_loss_coefficient
								UpperCAmelCase  :	Tuple							  =	bbox_loss_coefficient
								UpperCAmelCase  :	str							  =	giou_loss_coefficient
								UpperCAmelCase  :	List[Any]							  =	eos_coefficient
								UpperCAmelCase  :	Dict							  =	focal_alpha
								super().__init__(is_encoder_decoder=A	,	**A					)





	@property
	def 				_lowercase(						self					)    ->    int:
								return self.encoder_attention_heads





	@property
	def 				_lowercase(						self					)    ->    int:
								return self.d_model






	def 				_lowercase(						self					)    ->    Optional[Any]:
								UpperCAmelCase  :	Dict							  =	copy.deepcopy(self.__dict__					)
								UpperCAmelCase  :	List[str]							  =	self.backbone_config.to_dict()
								UpperCAmelCase  :	Optional[Any]							  =	self.__class__.model_type
								return output






'''simple docstring'''




from __future__ import annotations

from collections.abc import Sequence
from typing import Literal



def    __lowerCamelCase						(      _lowercase			,       _lowercase	)   ->    str | Literal[False]:
							UpperCAmelCase  :	Optional[int]							  =	list(_lowercase	)
							UpperCAmelCase  :	Dict							  =	list(_lowercase	)
							UpperCAmelCase  :	str							  =	0
							for i in range(len(_lowercase	)	):
														if lista[i] != lista[i]:
																					count += 1
																					UpperCAmelCase  :	Optional[Any]							  =	"""_"""
							if count > 1:
														return False
							else:
														return "".join(_lowercase	)



def    __lowerCamelCase						(      _lowercase	)   ->    list[str]:
							UpperCAmelCase  :	List[str]							  =	[]
							while True:
														UpperCAmelCase  :	Optional[int]							  =	["""$"""] * len(_lowercase	)
														UpperCAmelCase  :	int							  =	[]
														for i in range(len(_lowercase	)	):
																					for j in range(i + 1			,       len(_lowercase	)	):
																												UpperCAmelCase  :	str							  =	compare_string(binary[i]			,       binary[j]	)
																												if k is False:
																																			UpperCAmelCase  :	Union[str, Any]							  =	"""*"""
																																			UpperCAmelCase  :	Optional[Any]							  =	"""*"""
																																			temp.append("""X"""	)
														for i in range(len(_lowercase	)	):
																					if checka[i] == "$":
																												pi.append(binary[i]	)
														if len(_lowercase	) == 0:
																					return pi
														UpperCAmelCase  :	List[Any]							  =	list(set(_lowercase	)	)



def    __lowerCamelCase						(      _lowercase			,       _lowercase	)   ->    list[str]:
							UpperCAmelCase  :	Dict							  =	[]
							for minterm in minterms:
														UpperCAmelCase  :	List[str]							  =	""""""
														for _ in range(_lowercase	):
																					UpperCAmelCase  :	Dict							  =	str(minterm % 2	) + string
																					minterm //= 2
														temp.append(_lowercase	)
							return temp



def    __lowerCamelCase						(      _lowercase			,       _lowercase			,       _lowercase	)   ->    bool:
							UpperCAmelCase  :	Optional[int]							  =	list(_lowercase	)
							UpperCAmelCase  :	Dict							  =	list(_lowercase	)
							UpperCAmelCase  :	Dict							  =	0
							for i in range(len(_lowercase	)	):
														if lista[i] != lista[i]:
																					count_n += 1
							return count_n == count



def    __lowerCamelCase						(      _lowercase			,       _lowercase	)   ->    list[str]:
							UpperCAmelCase  :	Tuple							  =	[]
							UpperCAmelCase  :	Optional[int]							  =	[0] * len(_lowercase	)
							for i in range(len(chart[0]	)	):
														UpperCAmelCase  :	Any							  =	0
														UpperCAmelCase  :	Optional[Any]							  =	-1
														for j in range(len(_lowercase	)	):
																					if chart[j][i] == 1:
																												count += 1
																												UpperCAmelCase  :	str							  =	j
														if count == 1:
																					UpperCAmelCase  :	Optional[int]							  =	1
							for i in range(len(_lowercase	)	):
														if select[i] == 1:
																					for j in range(len(chart[0]	)	):
																												if chart[i][j] == 1:
																																			for k in range(len(_lowercase	)	):
																																										UpperCAmelCase  :	List[str]							  =	0
																					temp.append(prime_implicants[i]	)
							while True:
														UpperCAmelCase  :	int							  =	0
														UpperCAmelCase  :	Tuple							  =	-1
														UpperCAmelCase  :	Union[str, Any]							  =	0
														for i in range(len(_lowercase	)	):
																					UpperCAmelCase  :	Optional[Any]							  =	chart[i].count(1	)
																					if count_n > max_n:
																												UpperCAmelCase  :	Union[str, Any]							  =	count_n
																												UpperCAmelCase  :	Optional[Any]							  =	i

														if max_n == 0:
																					return temp

														temp.append(prime_implicants[rem]	)

														for i in range(len(chart[0]	)	):
																					if chart[rem][i] == 1:
																												for j in range(len(_lowercase	)	):
																																			UpperCAmelCase  :	Optional[Any]							  =	0



def    __lowerCamelCase						(      _lowercase			,       _lowercase	)   ->    list[list[int]]:
							UpperCAmelCase  :	Optional[int]							  =	[[0 for x in range(len(_lowercase	)	)] for x in range(len(_lowercase	)	)]
							for i in range(len(_lowercase	)	):
														UpperCAmelCase  :	Tuple							  =	prime_implicants[i].count("""_"""	)
														for j in range(len(_lowercase	)	):
																					if is_for_table(prime_implicants[i]			,       binary[j]			,       _lowercase	):
																												UpperCAmelCase  :	List[Any]							  =	1

							return chart



def    __lowerCamelCase						(      )   ->    None:
							UpperCAmelCase  :	str							  =	int(input("""Enter the no. of variables\n"""	)	)
							UpperCAmelCase  :	List[Any]							  =	[
							    float(_lowercase	)
							    for x in input(
							        """Enter the decimal representation of Minterms 'Spaces Separated'\n"""	).split()
							]
							UpperCAmelCase  :	str							  =	decimal_to_binary(_lowercase			,       _lowercase	)

							UpperCAmelCase  :	Tuple							  =	check(_lowercase	)
							print("""Prime Implicants are:"""	)
							print(_lowercase	)
							UpperCAmelCase  :	Union[str, Any]							  =	prime_implicant_chart(_lowercase			,       _lowercase	)

							UpperCAmelCase  :	Tuple							  =	selection(_lowercase			,       _lowercase	)
							print("""Essential Prime Implicants are:"""	)
							print(_lowercase	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()

