Martin Panter added the comment:
I am running your script with the Python 3.5.0 from Arch Linux on an x86-64
computer. The reported numbers slowly increase and then plateau at 221 million:
$ python ctype_stressor.py
1 0.0000000e+00 3.8010880e+07
100000 2.8538793e+00 1.4648934e+08
200000 2.9961207e+00 1.5189606e+08
300000 3.1383621e+00 1.5730278e+08
400000 3.2806034e+00 1.6270950e+08
500000 3.4512931e+00 1.6919757e+08
600000 3.5935345e+00 1.7460429e+08
700000 3.7357759e+00 1.8001101e+08
800000 3.8780172e+00 1.8541773e+08
900000 4.0202586e+00 1.9082445e+08
1000000 4.1909483e+00 1.9731251e+08
1100000 4.3331897e+00 2.0271923e+08
1200000 4.4754310e+00 2.0812595e+08
1300000 4.6176724e+00 2.1353267e+08
1400000 4.7599138e+00 2.1893939e+08
1500000 4.7883621e+00 2.2002074e+08
1600000 4.7883621e+00 2.2002074e+08
. . .
2700000 4.7883621e+00 2.2002074e+08
2800000 4.8043103e+00 2.2062694e+08
. . .
4100000 4.8043103e+00 2.2062694e+08
4200000 4.8133621e+00 2.2097101e+08
. . .
13000000 4.8133621e+00 2.2097101e+08
Monitoring the process with “htop”, I see the total virtual memory (VIRT)
ramping up to about 79 MiB, and then jumping back to about 62 MiB, and the
resident physical memory (RES) ramps within 36–53 MiB in a similar pattern.
Similarly, Python 2.7.10 ramps within RES = 32–43 MiB, and your script is
showing 177 million:
11400000 5.5962126e+00 1.7691443e+08
Is this the same as what you are seeing? How long do you have to you run your
script for?
The memory figures in your script seem to be out by a factor of four, assuming
the third column is meant to be a number of bytes. But I don’t think there is a
memory leak. At worst there is an unexpected dependency cycle between objects,
meaning the memory builds up a bit until the garbage collector runs.
----------
nosy: +martin.panter
versions: +Python 2.7
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<http://bugs.python.org/issue25512>
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