<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>guyzero</author><text>&amp;quot;What&amp;#x27;s possible, though, is accumulating Python objects in memory and keeping strong references to them12. For instance, this happens when we build a cache (for example, a dict) that we never clear. The cache will hold references to every single item and the GC will never be able to destroy them, that is, unless the cache goes out of scope.&amp;quot;&lt;p&gt;Back when I worked with a Java memory profiling tool (JProbe!) we called these &amp;quot;lingerers&amp;quot;. Not leaks, but the behaviour was similar.</text><parent_chain></parent_chain></comment><story><title>Tracking Down a Python Memory Leak</title><url>https://benbernardblog.com/tracking-down-a-freaky-python-memory-leak/</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>tantalor</author><text>Spoiler alert, the leak is in libxml2, not Python code.</text><parent_chain></parent_chain></comment><story><title>Tracking Down a Python Memory Leak</title><url>https://benbernardblog.com/tracking-down-a-freaky-python-memory-leak/</url></story>