





"""simple docstring"""


from __future__ import annotations

from queue import Queue





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	)    ->  tuple[int, int]:

 '''simple docstring'''






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





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	)    ->  list[list[int]]:

 '''simple docstring'''






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





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	,     _UpperCAmelCase	,     _UpperCAmelCase	)    ->  int:

 '''simple docstring'''






 if level[u] < level[v]:
  snake_case__							,   snake_case__    							=				swap(_UpperCAmelCase	,     _UpperCAmelCase	)
 # making depth of u same as depth of v
 for i in range(1_8	,     -1	,     -1	):
  if level[u] - (1 << i) >= level[v]:
   snake_case__    							=				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]]:
   snake_case__							,   snake_case__    							=				parent[i][u], parent[i][v]
    # returning longest common ancestor of u,v
 return parent[0][u]





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	,     _UpperCAmelCase	,     _UpperCAmelCase	,     _UpperCAmelCase = 1	,     )    ->  tuple[list[int], list[list[int]]]:

 '''simple docstring'''






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





def 							a__			(  )    ->  None:

 '''simple docstring'''






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


if __name__ == "__main__":
 main()








"""simple docstring"""


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


a__					:     Tuple							=				logging.get_logger(__name__)

a__					:     str							=				{
    """facebook/regnet-y-040""": """https://huggingface.co/facebook/regnet-y-040/blob/main/config.json""",
}



class      lowercase_				(     __lowerCAmelCase							):
       snake_case__				:							Tuple											=     """regnet"""
       snake_case__				:							List[Any]											=     ["""x""", """y"""]

       def __init__(			self   ,					__SCREAMING_SNAKE_CASE=3   ,					__SCREAMING_SNAKE_CASE=32   ,					__SCREAMING_SNAKE_CASE=[128, 192, 512, 1088]   ,					__SCREAMING_SNAKE_CASE=[2, 6, 12, 2]   ,					__SCREAMING_SNAKE_CASE=64   ,					__SCREAMING_SNAKE_CASE="y"   ,					__SCREAMING_SNAKE_CASE="relu"   ,					**__SCREAMING_SNAKE_CASE   ,					):






        '''simple docstring'''

        super().__init__(**__SCREAMING_SNAKE_CASE     )
        if layer_type not in self.layer_types:
         raise ValueError(F"layer_type={layer_type} is not one of {','.join(self.layer_types     )}"     )
        snake_case__    							=				num_channels
        snake_case__    							=				embedding_size
        snake_case__    							=				hidden_sizes
        snake_case__    							=				depths
        snake_case__    							=				groups_width
        snake_case__    							=				layer_type
        snake_case__    							=				hidden_act
        # always downsample in the first stage
        snake_case__    							=				True

