

"""simple docstring"""




from __future__ import annotations

from typing import Generic, TypeVar

__A     :    Union[str, Any]    =		TypeVar('T')





class 			__UpperCamelCase (   Generic[T]						):


		def __init__(self :		Tuple     ,     __SCREAMING_SNAKE_CASE :		T):
							A			=					data  # Assign data
							A			=					None  # Initialize next as null
							A			=					None  # Initialize prev as null





class 			__UpperCamelCase (   Generic[T]						):


		def __init__(self :		Dict):
							A			=					None


		def 					SCREAMING_SNAKE_CASE__   (self :		Optional[int]     ,     __SCREAMING_SNAKE_CASE :		T):
							if self.head is None:
												A			=					Node(__SCREAMING_SNAKE_CASE)
							else:
												A			=					Node(__SCREAMING_SNAKE_CASE)
												A			=					new_node
												A			=					self.head
												A			=					None
												A			=					new_node


		def 					SCREAMING_SNAKE_CASE__   (self :		Dict):
							if self.head is None:
												return None
							else:
												assert self.head is not None
												A			=					self.head.data
												A			=					self.head.next
												if self.head is not None:
																	A			=					None
												return temp


		def 					SCREAMING_SNAKE_CASE__   (self :		Any):
							return self.head.data if self.head is not None else None


		def __len__(self :		Dict):
							A			=					self.head
							A			=					0
							while temp is not None:
												count += 1
												A			=					temp.next
							return count


		def 					SCREAMING_SNAKE_CASE__   (self :		Tuple):
							return self.head is None


		def 					SCREAMING_SNAKE_CASE__   (self :		Tuple):
							print("stack elements are:")
							A			=					self.head
							while temp is not None:
												print(temp.data     ,     end="->")
												A			=					temp.next


# Code execution starts here
if __name__ == "__main__":
	# Start with the empty stack
	__A     :    Stack[int]    =		Stack()

	# Insert 4 at the beginning. So stack becomes 4->None
	print('Stack operations using Doubly LinkedList')
	stack.push(4)

	# Insert 5 at the beginning. So stack becomes 4->5->None
	stack.push(5)

	# Insert 6 at the beginning. So stack becomes 4->5->6->None
	stack.push(6)

	# Insert 7 at the beginning. So stack becomes 4->5->6->7->None
	stack.push(7)

	# Print the stack
	stack.print_stack()

	# Print the top element
	print('\nTop element is ', stack.top())

	# Print the stack size
	print('Size of the stack is ', len(stack))

	# pop the top element
	stack.pop()

	# pop the top element
	stack.pop()

	# two elements have now been popped off
	stack.print_stack()

	# Print True if the stack is empty else False
	print('\nstack is empty:', stack.is_empty())








"""simple docstring"""




import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A     :    str    =		logging.get_logger(__name__)

__A     :    Union[str, Any]    =		{
    'facebook/sam-vit-huge': 'https://huggingface.co/facebook/sam-vit-huge/resolve/main/config.json',
    'facebook/sam-vit-large': 'https://huggingface.co/facebook/sam-vit-large/resolve/main/config.json',
    'facebook/sam-vit-base': 'https://huggingface.co/facebook/sam-vit-base/resolve/main/config.json',
}





class 			__UpperCamelCase (   _A						):


		def __init__(self :		int     ,     __SCREAMING_SNAKE_CASE :		Optional[int]=2_5_6     ,     __SCREAMING_SNAKE_CASE :		List[str]=1_0_2_4     ,     __SCREAMING_SNAKE_CASE :		Optional[int]=1_6     ,     __SCREAMING_SNAKE_CASE :		Optional[int]=1_6     ,     __SCREAMING_SNAKE_CASE :		List[str]=4     ,     __SCREAMING_SNAKE_CASE :		List[Any]="gelu"     ,     __SCREAMING_SNAKE_CASE :		str=1E-6     ,     **__SCREAMING_SNAKE_CASE :		Optional[int]     ,     ):
							super().__init__(**__SCREAMING_SNAKE_CASE)
							A			=					hidden_size
							A			=					image_size
							A			=					patch_size
							A			=					image_size // patch_size
							A			=					mask_input_channels
							A			=					num_point_embeddings
							A			=					hidden_act
							A			=					layer_norm_eps





class 			__UpperCamelCase (   _A						):


		def __init__(self :		List[Any]     ,     __SCREAMING_SNAKE_CASE :		Tuple=2_5_6     ,     __SCREAMING_SNAKE_CASE :		str="relu"     ,     __SCREAMING_SNAKE_CASE :		List[Any]=2_0_4_8     ,     __SCREAMING_SNAKE_CASE :		Tuple=2     ,     __SCREAMING_SNAKE_CASE :		Any=8     ,     __SCREAMING_SNAKE_CASE :		Union[str, Any]=2     ,     __SCREAMING_SNAKE_CASE :		Optional[int]=3     ,     __SCREAMING_SNAKE_CASE :		List[Any]=3     ,     __SCREAMING_SNAKE_CASE :		Tuple=2_5_6     ,     __SCREAMING_SNAKE_CASE :		int=1E-6     ,     **__SCREAMING_SNAKE_CASE :		int     ,     ):
							super().__init__(**__SCREAMING_SNAKE_CASE)
							A			=					hidden_size
							A			=					hidden_act
							A			=					mlp_dim
							A			=					num_hidden_layers
							A			=					num_attention_heads
							A			=					attention_downsample_rate
							A			=					num_multimask_outputs
							A			=					iou_head_depth
							A			=					iou_head_hidden_dim
							A			=					layer_norm_eps





class 			__UpperCamelCase (   _A						):


		def __init__(self :		List[str]     ,     __SCREAMING_SNAKE_CASE :		List[Any]=7_6_8     ,     __SCREAMING_SNAKE_CASE :		int=2_5_6     ,     __SCREAMING_SNAKE_CASE :		Tuple=1_2     ,     __SCREAMING_SNAKE_CASE :		str=1_2     ,     __SCREAMING_SNAKE_CASE :		Any=3     ,     __SCREAMING_SNAKE_CASE :		Dict=1_0_2_4     ,     __SCREAMING_SNAKE_CASE :		str=1_6     ,     __SCREAMING_SNAKE_CASE :		Tuple="gelu"     ,     __SCREAMING_SNAKE_CASE :		int=1E-06     ,     __SCREAMING_SNAKE_CASE :		Dict=0.0     ,     __SCREAMING_SNAKE_CASE :		str=1E-10     ,     __SCREAMING_SNAKE_CASE :		List[str]=True     ,     __SCREAMING_SNAKE_CASE :		Union[str, Any]=4.0     ,     __SCREAMING_SNAKE_CASE :		str=True     ,     __SCREAMING_SNAKE_CASE :		Any=True     ,     __SCREAMING_SNAKE_CASE :		Optional[int]=1_4     ,     __SCREAMING_SNAKE_CASE :		Tuple=[2, 5, 8, 1_1]     ,     __SCREAMING_SNAKE_CASE :		str=1_2_8     ,     __SCREAMING_SNAKE_CASE :		Optional[int]=None     ,     **__SCREAMING_SNAKE_CASE :		Optional[Any]     ,     ):
							super().__init__(**__SCREAMING_SNAKE_CASE)

							A			=					hidden_size
							A			=					output_channels
							A			=					num_hidden_layers
							A			=					num_attention_heads
							A			=					num_channels
							A			=					image_size
							A			=					patch_size
							A			=					hidden_act
							A			=					layer_norm_eps
							A			=					attention_dropout
							A			=					initializer_range
							A			=					qkv_bias
							A			=					mlp_ratio
							A			=					use_abs_pos
							A			=					use_rel_pos
							A			=					window_size
							A			=					global_attn_indexes
							A			=					num_pos_feats
							A			=					int(hidden_size * mlp_ratio) if mlp_dim is None else mlp_dim





class 			__UpperCamelCase (   _A						):
		SCREAMING_SNAKE_CASE								=    "sam"
		SCREAMING_SNAKE_CASE								=    True


		def __init__(self :		Optional[int]     ,     __SCREAMING_SNAKE_CASE :		Dict=None     ,     __SCREAMING_SNAKE_CASE :		Union[str, Any]=None     ,     __SCREAMING_SNAKE_CASE :		Optional[int]=None     ,     __SCREAMING_SNAKE_CASE :		List[Any]=0.0_2     ,     **__SCREAMING_SNAKE_CASE :		Optional[Any]     ,     ):
							super().__init__(**__SCREAMING_SNAKE_CASE)
							A			=					vision_config if vision_config is not None else {}
							A			=					prompt_encoder_config if prompt_encoder_config is not None else {}
							A			=					mask_decoder_config if mask_decoder_config is not None else {}

							if isinstance(__SCREAMING_SNAKE_CASE     ,     __SCREAMING_SNAKE_CASE):
												A			=					vision_config.to_dict()
							if isinstance(__SCREAMING_SNAKE_CASE     ,     __SCREAMING_SNAKE_CASE):
												A			=					prompt_encoder_config.to_dict()
							if isinstance(__SCREAMING_SNAKE_CASE     ,     __SCREAMING_SNAKE_CASE):
												A			=					mask_decoder_config.to_dict()

							A			=					SamVisionConfig(**__SCREAMING_SNAKE_CASE)
							A			=					SamPromptEncoderConfig(**__SCREAMING_SNAKE_CASE)
							A			=					SamMaskDecoderConfig(**__SCREAMING_SNAKE_CASE)
							A			=					initializer_range


		def 					SCREAMING_SNAKE_CASE__   (self :		List[str]):
							A			=					copy.deepcopy(self.__dict__)
							A			=					self.vision_config.to_dict()
							A			=					self.prompt_encoder_config.to_dict()
							A			=					self.mask_decoder_config.to_dict()
							A			=					self.__class__.model_type
							return output





