> last night's run is still running (that's about 14 hours). Memory
> usage...454mb:
>
>   1642 ajack     30  15  454M 201M  154M R N   1.5 80.7  34:08   0 python
>

Interestingly while still merrily tinkering along we see 545M...

  PID USER     PRI  NI  SIZE  RSS SHARE STAT %CPU %MEM   TIME CPU COMMAND
 1642 ajack     30  15  545M 167M 24440 D N   0.3 67.1  38:40   0 python

... what kinda of beastie is Gumpy? A hog, it seems...

Ok, so maybe Python is as fluffy as Java w/ garbage collected object, and
maybe Gumpy is greedy, but I can't see what would do this. The 'big stuff'
(the build outputs) are kept in files, not memory. All that ought be in
memory are the object (admittedly many) that represent the annotated run
tree.

1) What is causing this? How does one introspect Python memory?
2) What was causing Gumpy to still be running @ 80% CPU 14 hours later?

regard

Adam


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