Here’s an example that demonstrates the cyclic garbage collector in Python:
import gc class Node: def __init__(self, data): self.data = data self.next = None # Create a circular linked list node1 = Node(1) node2 = Node(2) node3 = Node(3) node1.next = node2 node2.next = node3 node3.next = node1 # Remove references to the circular linked list node1 = None node2 = None node3 = None # Manually trigger garbage collection gc.collect() # Check if circular linked list objects are collected for obj in gc.get_objects(): if isinstance(obj, Node): print(f"Object {obj.data} is reachable") else: print(f"{obj} is unreachable") # Output: # <built-in function gc.collect> is unreachable # Object 1 is reachable # Object 2 is reachable # Object 3 is reachable
In the example above, we create a circular linked list where each node points to the next node, and the last node points back to the first node, forming a cycle. After creating the circular linked list, we remove all references to the nodes by setting them to None
. Then, we manually trigger garbage collection using gc.collect()
.
Finally, we iterate over the objects tracked by the garbage collector using gc.get_objects()
and check if any objects of type Node
(representing the circular linked list) are still reachable. In the output, we can see that objects with data values 1, 2, and 3 are still reachable, indicating that the cyclically referenced objects were not collected.
This demonstrates the behavior of the cyclic garbage collector, which cannot automatically detect and collect cyclically referenced objects in all cases. It’s important to break reference cycles manually by removing or breaking references between objects when you no longer need them to ensure proper memory management.