



"""simple docstring"""

from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

lowercase__			   =  TypeVar("T")





def       __magic_name__    (   _lowerCamelCase				: int					):
							return (position - 1) // 2





def       __magic_name__    (   _lowerCamelCase				: int					):
							return (2 * position) + 1





def       __magic_name__    (   _lowerCamelCase				: int					):
							return (2 * position) + 2




class SCREAMING_SNAKE_CASE__					(		Generic[T]      ):



						def __init__(self							):





													'''simple docstring'''

													__a		:		list[tuple[T, int]]									=       []
													__a		:		dict[T, int]									=       {}
													__a		:		int									=       0



						def __len__(self							):





													'''simple docstring'''

													return self.elements



						def __repr__(self							):





													'''simple docstring'''

													return str(self.heap							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													return self.elements == 0



						def     lowerCAmelCase__(self						,     _lowercase						,     _lowercase							):





													'''simple docstring'''

													self.heap.append((elem, weight)							)
													__a		:		Dict									=       self.elements
													self.elements += 1
													self._bubble_up(_lowercase							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													if self.elements > 1:
																				self._swap_nodes(0						,     self.elements - 1							)
													__a							,     __a		:		List[str]									=       self.heap.pop()
													del self.position_map[elem]
													self.elements -= 1
													if self.elements > 0:
																				__a							,     __a		:		Any									=       self.heap[0]
																				self._bubble_down(_lowercase							)
													return elem



						def     lowerCAmelCase__(self						,     _lowercase						,     _lowercase							):





													'''simple docstring'''

													__a		:		int									=       self.position_map[elem]
													__a		:		Dict									=       (elem, weight)
													if position > 0:
																				__a		:		str									=       get_parent_position(_lowercase							)
																				__a							,     __a		:		Tuple									=       self.heap[parent_position]
																				if parent_weight > weight:
																											self._bubble_up(_lowercase							)
																				else:
																											self._bubble_down(_lowercase							)
													else:
																				self._bubble_down(_lowercase							)



						def     lowerCAmelCase__(self						,     _lowercase							):





													'''simple docstring'''

													__a		:		Optional[Any]									=       self.position_map[elem]
													if curr_pos == 0:
																				return None
													__a		:		List[str]									=       get_parent_position(_lowercase							)
													__a							,     __a		:		List[str]									=       self.heap[curr_pos]
													__a							,     __a		:		List[str]									=       self.heap[parent_position]
													if parent_weight > weight:
																				self._swap_nodes(_lowercase						,     _lowercase							)
																				return self._bubble_up(_lowercase							)
													return None



						def     lowerCAmelCase__(self						,     _lowercase							):





													'''simple docstring'''

													__a		:		Union[str, Any]									=       self.position_map[elem]
													__a							,     __a		:		List[str]									=       self.heap[curr_pos]
													__a		:		str									=       get_child_left_position(_lowercase							)
													__a		:		Union[str, Any]									=       get_child_right_position(_lowercase							)
													if child_left_position < self.elements and child_right_position < self.elements:
																				__a							,     __a		:		List[Any]									=       self.heap[child_left_position]
																				__a							,     __a		:		str									=       self.heap[child_right_position]
																				if child_right_weight < child_left_weight and child_right_weight < weight:
																											self._swap_nodes(_lowercase						,     _lowercase							)
																											return self._bubble_down(_lowercase							)
													if child_left_position < self.elements:
																				__a							,     __a		:		List[Any]									=       self.heap[child_left_position]
																				if child_left_weight < weight:
																											self._swap_nodes(_lowercase						,     _lowercase							)
																											return self._bubble_down(_lowercase							)
													else:
																				return None
													if child_right_position < self.elements:
																				__a							,     __a		:		Dict									=       self.heap[child_right_position]
																				if child_right_weight < weight:
																											self._swap_nodes(_lowercase						,     _lowercase							)
																											return self._bubble_down(_lowercase							)
													return None





						def     lowerCAmelCase__(self						,     _lowercase						,     _lowercase							):





													'''simple docstring'''

													__a		:		Union[str, Any]									=       self.heap[nodea_pos][0]
													__a		:		List[str]									=       self.heap[nodea_pos][0]
													__a							,     __a		:		Any									=       (
													    self.heap[nodea_pos],
													    self.heap[nodea_pos],
													)
													__a		:		Union[str, Any]									=       nodea_pos
													__a		:		List[Any]									=       nodea_pos







class SCREAMING_SNAKE_CASE__					(		Generic[T]      ):



						def __init__(self							):





													'''simple docstring'''

													__a		:		dict[T, dict[T, int]]									=       {}
													__a		:		int									=       0



						def __repr__(self							):





													'''simple docstring'''

													return str(self.connections							)



						def __len__(self							):





													'''simple docstring'''

													return self.nodes



						def     lowerCAmelCase__(self						,     _lowercase							):





													'''simple docstring'''

													if node not in self.connections:
																				__a		:		Dict									=       {}
																				self.nodes += 1





						def     lowerCAmelCase__(self						,     _lowercase						,     _lowercase						,     _lowercase							):





													'''simple docstring'''

													self.add_node(_lowercase							)
													self.add_node(_lowercase							)
													__a		:		str									=       weight
													__a		:		Optional[Any]									=       weight







def       __magic_name__    (   _lowerCamelCase				: GraphUndirectedWeighted[T]  ,       ):
							__a		:		dict[T, int]									=       {node: maxsize for node in graph.connections}
							__a		:		dict[T, T | None]									=       {node: None for node in graph.connections}

							__a		:		MinPriorityQueue[T]									=       MinPriorityQueue()
							for node, weight in dist.items():
														priority_queue.push(_lowerCamelCase  ,       _lowerCamelCase					)

							if priority_queue.is_empty():
														return dist, parent

							# initialization
							__a		:		Union[str, Any]									=       priority_queue.extract_min()
							__a		:		Optional[int]									=       0
							for neighbour in graph.connections[node]:
														if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
																					__a		:		List[str]									=       dist[node] + graph.connections[node][neighbour]
																					priority_queue.update_key(_lowerCamelCase  ,       dist[neighbour]					)
																					__a		:		List[str]									=       node

    # running prim's algorithm
							while not priority_queue.is_empty():
														__a		:		Optional[int]									=       priority_queue.extract_min()
														for neighbour in graph.connections[node]:
																					if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
																												__a		:		Optional[Any]									=       dist[node] + graph.connections[node][neighbour]
																												priority_queue.update_key(_lowerCamelCase  ,       dist[neighbour]					)
																												__a		:		Optional[Any]									=       node
							return dist, parent






"""simple docstring"""

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


lowercase__			   =  logging.get_logger(__name__)

lowercase__			   =  {
    "sayakpaul/vit-msn-base": "https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json",
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}




class SCREAMING_SNAKE_CASE__					(		__snake_case      ):
						_lowerCAmelCase							=					"vit_msn"



						def __init__(self						,     _lowercase=768						,     _lowercase=12						,     _lowercase=12						,     _lowercase=3072						,     _lowercase="gelu"						,     _lowercase=0.0						,     _lowercase=0.0						,     _lowercase=0.02						,     _lowercase=1e-06						,     _lowercase=224						,     _lowercase=16						,     _lowercase=3						,     _lowercase=True						,     **_lowercase						,     ):





													'''simple docstring'''

													super().__init__(**_lowercase							)

													__a		:		int									=       hidden_size
													__a		:		str									=       num_hidden_layers
													__a		:		str									=       num_attention_heads
													__a		:		Optional[Any]									=       intermediate_size
													__a		:		Union[str, Any]									=       hidden_act
													__a		:		Tuple									=       hidden_dropout_prob
													__a		:		Any									=       attention_probs_dropout_prob
													__a		:		List[Any]									=       initializer_range
													__a		:		Any									=       layer_norm_eps
													__a		:		Dict									=       image_size
													__a		:		List[Any]									=       patch_size
													__a		:		Dict									=       num_channels
													__a		:		Optional[Any]									=       qkv_bias

