

from __future__ import annotations

from queue import Queue



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int		,    SCREAMING_SNAKE_CASE_:							int )     -> tuple[int, int]:




				'''simple docstring'''





				a ^= b
				b ^= a
				a ^= b
				return a, b



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int		,    SCREAMING_SNAKE_CASE_:							list[list[int]] )     -> list[list[int]]:




				'''simple docstring'''





				A__            =     1
				while (1 << j) < max_node:
								for i in range(1		,    max_node + 1 ):
												A__            =     parent[j - 1][parent[j - 1][i]]
								j += 1
				return parent



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							int		,    SCREAMING_SNAKE_CASE_:							int		,    SCREAMING_SNAKE_CASE_:							list[int]		,    SCREAMING_SNAKE_CASE_:							list[list[int]] )     -> int:




				'''simple docstring'''





				if level[u] < level[v]:
								A__      ,			A__            =     swap(SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ )
				# making depth of u same as depth of v
				for i in range(1_8		,    -1		,    -1 ):
								if level[u] - (1 << i) >= level[v]:
												A__            =     parent[i][u]
    # at the same depth if u==v that mean lca is found
				if u == v:
								return u
				# moving both nodes upwards till lca in found
				for i in range(1_8		,    -1		,    -1 ):
								if parent[i][u] not in [0, parent[i][v]]:
												A__      ,			A__            =     parent[i][u], parent[i][v]
    # returning longest common ancestor of u,v
				return parent[0][u]



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							list[int]		,    SCREAMING_SNAKE_CASE_:							list[list[int]]		,    SCREAMING_SNAKE_CASE_:							int		,    SCREAMING_SNAKE_CASE_:							dict[int, list[int]]		,    SCREAMING_SNAKE_CASE_:							int = 1		,    )     -> tuple[list[int], list[list[int]]]:




				'''simple docstring'''





				A__            =     0
				A__            =     Queue(maxsize=SCREAMING_SNAKE_CASE_ )
				q.put(SCREAMING_SNAKE_CASE_ )
				while q.qsize() != 0:
								A__            =     q.get()
								for v in graph[u]:
												if level[v] == -1:
																A__            =     level[u] + 1
																q.put(SCREAMING_SNAKE_CASE_ )
																A__            =     u
				return level, parent



def    lowerCAmelCase__							(		)     -> None:




				'''simple docstring'''





				A__            =     1_3
				# initializing with 0
				A__            =     [[0 for _ in range(max_node + 1_0 )] for _ in range(2_0 )]
				# initializing with -1 which means every node is unvisited
				A__            =     [-1 for _ in range(max_node + 1_0 )]
				A__            =     {
				    1: [2, 3, 4],
				    2: [5],
				    3: [6, 7],
				    4: [8],
				    5: [9, 1_0],
				    6: [1_1],
				    7: [],
				    8: [1_2, 1_3],
				    9: [],
				    1_0: [],
				    1_1: [],
				    1_2: [],
				    1_3: [],
				}
				A__      ,			A__            =     breadth_first_search(SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_		,    1 )
				A__            =     create_sparse(SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ )
				print("LCA of node 1 and 3 is: "		,    lowest_common_ancestor(1		,    3		,    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ) )
				print("LCA of node 5 and 6 is: "		,    lowest_common_ancestor(5		,    6		,    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ) )
				print("LCA of node 7 and 11 is: "		,    lowest_common_ancestor(7		,    1_1		,    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ) )
				print("LCA of node 6 and 7 is: "		,    lowest_common_ancestor(6		,    7		,    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ) )
				print("LCA of node 4 and 12 is: "		,    lowest_common_ancestor(4		,    1_2		,    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ) )
				print("LCA of node 8 and 8 is: "		,    lowest_common_ancestor(8		,    8		,    SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ) )


if __name__ == "__main__":
	main()




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase__						=	logging.get_logger(__name__)

lowerCAmelCase__						=	{
    """MBZUAI/swiftformer-xs""": """https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json""",
}

class    a__  (   snake_case     ):
			"""simple docstring"""







			__lowerCamelCase	    =    'swiftformer'


			def __init__(      self , lowercase=3 , lowercase=[3, 3, 6, 4] , lowercase=[48, 56, 112, 220] , lowercase=4 , lowercase=[True, True, True, True] , lowercase="gelu" , lowercase=3 , lowercase=2 , lowercase=1 , lowercase=0.0 , lowercase=True , lowercase=1e-5 , lowercase=1e-5 , **lowercase , )					->  Optional[int]:
							'''simple docstring'''






							super().__init__(**lowercase    )
							A__            =     num_channels
							A__            =     depths
							A__            =     embed_dims
							A__            =     mlp_ratio
							A__            =     downsamples
							A__            =     hidden_act
							A__            =     down_patch_size
							A__            =     down_stride
							A__            =     down_pad
							A__            =     drop_path_rate
							A__            =     use_layer_scale
							A__            =     layer_scale_init_value
							A__            =     batch_norm_eps

class    a__  (   snake_case     ):
			"""simple docstring"""







			__lowerCamelCase	    =    version.parse('1.11'     )


			@property
			def        UpperCamelCase						(      self    )					->  Mapping[str, Mapping[int, str]]:
							'''simple docstring'''






							return OrderedDict(
							    [
							        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
							    ]    )


			@property
			def        UpperCamelCase						(      self    )					->  float:
							'''simple docstring'''






							return 1e-4

