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def find_paths(matrix, n, m, i, j, oxygen, path, paths):     if i < 0 or i >= n or j < 0 or j >= n or matrix[i][j] == 0:         return         oxygen -= matrix[i][j]     path += directions[(0, 1)]  # 'R'         if i == n-1 and (j == n-1 or j == 0):  # Reached destination         if oxygen >= 0:             paths.append((path, oxygen))         return         temp = matrix[i][j]     matrix[i][j] = 0  # Mark as visited         for di, dj in directions:         find_paths(matrix, n, m, i + di, j + dj, oxygen, path, paths)         matrix[i][j] = temp  # Backtrack     path = path[:-1]  # Remove the last direction n = int(input()) matrix = [list(map(int, input().split())) for _ in range(n)] m = int(input()) directions = [(0, 1), (1, 0), (0, -1), (-1, 0)] paths = [] find_paths(matrix, n, m, 0, 0, m, '', paths) print("The available paths are") for path, _ in paths:     print(path) feasible_paths = [(path, oxygen) for path, oxygen in paths if oxygen >= 0] if feasible_paths:     print("\nThe feasible paths with remaining oxygen levels are")     for path, oxygen in feasible_paths:         print(path, oxygen) else:     print("\nNo feasible path") Scuba drivingβœ… pythonβœ…πŸ†“

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