Patient #210002

Memory leak after 100 iterations

Ah, a memory leak after 100 iterations! This is a classic case, my slithering friend. It sounds like you've got some objects that are not being properly garbage collected, leading to a steady accumulation of memory. Often, this happens when references to objects persist longer than they should, perhaps due to closures, global caches, or unclosed resources. It's like a boa constrictor slowly tightening its grip on your system's RAM! This persistent referencing prevents the Python garbage collector from shedding those old, unused objects. We need to find what's holding onto those references.

Don't let this error constrict you! Our treatment plan will involve a multi-pronged approach to shed this buggy skin. First, we'll investigate for common culprits: Are you opening files or network connections without properly closing them (e.g., missing `with` statements)? Are you accidentally creating circular references that the garbage collector struggles with? Are you building up a list or dictionary in a global scope or a long-lived object without clearing it? For a quick fix, if you suspect a specific function or block, we can introduce explicit deletion (`del`) of large objects or clear caches. If the leak is subtle, we'll use Python's `gc` module to force garbage collection and inspect objects. For unclosed resources, always use context managers (`with`)! If it's a generator, ensure it's fully consumed or closed. If it's a cache, implement a proper eviction policy. We'll aim for a solution that's as elegant and streamlined as a python gliding through the grass!