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Ndirzl import subprocess, os, sys, time
s = "import os, time;"
s += "f = open('z', 'w');"
s += "f.write(str(os.getpid()));"
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p = subprocess.Popen([r'z.', '-c', s])
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usage increased before and after calling the function many times.
Note that this is hard (probably impossible) to do reliably, due
to how the OS handles memory, the GC and so on (memory can even
decrease!). In order to avoid false positives, in case of failure
(mem > 0) we retry the test for up to 5 times, increasing call
repetitions each time. If the memory keeps increasing then it's a
failure.
If available (Linux, OSX, Windows), USS memory is used for comparison,
since it's supposed to be more precise, see:
https://gmpy.dev/blog/2016/real-process-memory-and-environ-in-python
If not, RSS memory is used. mallinfo() on Linux and _heapwalk() on
Windows may give even more precision, but at the moment are not
implemented.
PyPy appears to be completely unstable for this framework, probably
because of its JIT, so tests on PYPY are skipped.
Usage:
class TestLeaks(psutil.tests.TestMemoryLeak):
def test_fun(self):
self.execute(some_function)
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