






from heapq import heappop, heappush

import numpy as np


def __A    (      __lowerCAmelCase ,		__lowerCAmelCase ,		__lowerCAmelCase ,		__lowerCAmelCase ,		)->  tuple[float | int, list[tuple[int, int]]]:





						"""simple docstring"""



						_UpperCAmelCase					, _UpperCAmelCase									=			grid.shape
						_UpperCAmelCase									=			[-1, 1, 0, 0]
						_UpperCAmelCase									=			[0, 0, -1, 1]
						if allow_diagonal:
												dx += [-1, -1, 1, 1]
												dy += [-1, 1, -1, 1]

						_UpperCAmelCase					, _UpperCAmelCase									=			[(0, source)], set()
						_UpperCAmelCase									=			np.full((rows, cols) ,		np.inf	)
						_UpperCAmelCase									=			0
						_UpperCAmelCase									=			np.empty((rows, cols) ,		dtype=__lowerCAmelCase	)
						_UpperCAmelCase									=			None

						while queue:
												((_UpperCAmelCase)					, (_UpperCAmelCase))									=			heappop(__lowerCAmelCase	)
												if (x, y) in visited:
																		continue
												visited.add((x, y)	)

												if (x, y) == destination:
																		_UpperCAmelCase									=			[]
																		while (x, y) != source:
																								path.append((x, y)	)
																								_UpperCAmelCase					, _UpperCAmelCase									=			predecessors[x, y]
																		path.append(__lowerCAmelCase	)  # add the source manually
																		path.reverse()
																		return matrix[destination], path

												for i in range(len(__lowerCAmelCase	)	):
																		_UpperCAmelCase					, _UpperCAmelCase									=			x + dx[i], y + dy[i]
																		if 0 <= nx < rows and 0 <= ny < cols:
																								_UpperCAmelCase									=			grid[nx][ny]
																								if next_node == 1 and matrix[nx, ny] > dist + 1:
																														heappush(__lowerCAmelCase ,		(dist + 1, (nx, ny))	)
																														_UpperCAmelCase									=			dist + 1
																														_UpperCAmelCase									=			(x, y)

						return np.inf, []


if __name__ == "__main__":
		import doctest

		doctest.testmod()



from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
_lowerCAmelCase					:			Optional[Any]  				=			Lock()






def        UpperCamelCase_(							_snake_case   :  List[str]       ,     _snake_case   :  Optional[int]       ,     _snake_case   :  Dict       ,     _snake_case   :  Any       ,     _snake_case   :  List[str]       ,     _snake_case   :  Tuple       ,     _snake_case   :  List[str]	):




			"""simple docstring"""






			global process_lock

			# we perform n swaps since after n swaps we know we are sorted
			# we *could* stop early if we are sorted already, but it takes as long to
			# find out we are sorted as it does to sort the list with this algorithm
			for i in range(0       ,     10	):
						if (i + position) % 2 == 0 and r_send is not None:
									# send your value to your right neighbor
									process_lock.acquire()
									r_send[1].send(_snake_case	)
									process_lock.release()

									# receive your right neighbor's value
									process_lock.acquire()
									__a        =rr_cv[0].recv()
									process_lock.release()

									# take the lower value since you are on the left
									__a        =min(_snake_case       ,     _snake_case	)
						elif (i + position) % 2 != 0 and l_send is not None:
									# send your value to your left neighbor
									process_lock.acquire()
									l_send[1].send(_snake_case	)
									process_lock.release()

									# receive your left neighbor's value
									process_lock.acquire()
									__a        =lr_cv[0].recv()
									process_lock.release()

									# take the higher value since you are on the right
									__a        =max(_snake_case       ,     _snake_case	)
    # after all swaps are performed, send the values back to main
			result_pipe[1].send(_snake_case	)






def        UpperCamelCase_(							_snake_case   :  List[str]	):




			"""simple docstring"""






			__a        =[]
			__a        =[]
			# initialize the list of pipes where the values will be retrieved
			for _ in arr:
						result_pipe.append(Pipe()	)
			# creates the processes
			# the first and last process only have one neighbor so they are made outside
			# of the loop
			__a        =Pipe()
			__a        =Pipe()
			process_array_.append(
			    Process(
			        target=_snake_case       ,     args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])       ,     )	)
			__a        =temp_rs
			__a        =temp_rr

			for i in range(1       ,     len(_snake_case	) - 1	):
						__a        =Pipe()
						__a        =Pipe()
						process_array_.append(
						    Process(
						        target=_snake_case       ,     args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])       ,     )	)
						__a        =temp_rs
						__a        =temp_rr

			process_array_.append(
			    Process(
			        target=_snake_case       ,     args=(
			            len(_snake_case	) - 1,
			            arr[len(_snake_case	) - 1],
			            temp_ls,
			            None,
			            temp_lr,
			            None,
			            result_pipe[len(_snake_case	) - 1],
			        )       ,     )	)

			# start the processes
			for p in process_array_:
						p.start()

			# wait for the processes to end and write their values to the list
			for p in range(0       ,     len(_snake_case	)	):
						__a        =result_pipe[p][0].recv()
						process_array_[p].join()
			return arr






def        UpperCamelCase_(							):




			"""simple docstring"""






			__a        =list(range(10       ,     0       ,     -1	)	)
			print('Initial List'	)
			print(*_snake_case	)
			__a        =odd_even_transposition(_snake_case	)
			print('Sorted List\n'	)
			print(*_snake_case	)


if __name__ == "__main__":
						main()






