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62 lines
2.2 KiB
62 lines
2.2 KiB
import unittest, gc
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from ctypes import *
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from ctypes.wintypes import *
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################################################################
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class PROCESS_MEMORY_COUNTERS(Structure):
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_fields_ = [("cb", DWORD),
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("PageFaultCount", DWORD),
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("PeakWorkingSetSize", c_size_t),
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("WorkingSetSize", c_size_t),
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("QuotaPeakPagedPoolUsage", c_size_t),
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("QuotaPagedPoolUsage", c_size_t),
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("QuotaPeakNonPagedPoolUsage", c_size_t),
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("QuotaNonPagedPoolUsage", c_size_t),
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("PagefileUsage", c_size_t),
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("PeakPagefileUsage", c_size_t)]
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def __init__(self):
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self.cb = sizeof(self)
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def dump(self):
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for n, _ in self._fields_[2:]:
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print(n, getattr(self, n)/1e6)
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try:
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windll.psapi.GetProcessMemoryInfo.argtypes = (HANDLE, POINTER(PROCESS_MEMORY_COUNTERS), DWORD)
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except WindowsError:
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# cannot search for memory leaks on Windows CE
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def find_memleak(func, loops=None):
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return 0
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else:
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def wss():
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# Return the working set size (memory used by process)
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pmi = PROCESS_MEMORY_COUNTERS()
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if not windll.psapi.GetProcessMemoryInfo(-1, byref(pmi), sizeof(pmi)):
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raise WinError()
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return pmi.WorkingSetSize
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LOOPS = 10, 1000
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def find_memleak(func, loops=LOOPS):
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# call 'func' several times, so that memory consumption
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# stabilizes:
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for j in range(loops[0]):
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for k in range(loops[1]):
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func()
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gc.collect(); gc.collect(); gc.collect()
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bytes = wss()
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# call 'func' several times, recording the difference in
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# memory consumption before and after the call. Repeat this a
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# few times, and return a list containing the memory
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# consumption differences.
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for j in range(loops[0]):
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for k in range(loops[1]):
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func()
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gc.collect(); gc.collect(); gc.collect()
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# return the increased in process size
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result = wss() - bytes
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# Sometimes the process size did decrease, we do not report leaks
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# in this case:
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return max(result, 0)
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