def mem_test(when):
from core.controllers.profiling.ps_mem import get_memory_usage, human
sorted_cmds, shareds, _, _ = get_memory_usage(None, True, True, True )
cmd = sorted_cmds[0]
msg = "%8sB Private + %8sB Shared = %8sB" % ( human(cmd[1]-shareds[cmd[0]]),
human(shareds[cmd[0]]), human(cmd[1])
)
print 'Total memory usage %s: %s' % (when,msg)
def mem_test(when):
from core.controllers.profiling.ps_mem import get_memory_usage, human
sorted_cmds, shareds, _, _ = get_memory_usage(None, True, True, True)
cmd = sorted_cmds[0]
msg = "%8sB Private + %8sB Shared = %8sB" % (human(cmd[1] - shareds[cmd[0]]),
human(shareds[cmd[
0]]), human(cmd[1])
)
print 'Total memory usage %s: %s' % (when, msg)
def dump_memory_usage():
'''
This is a function that prints the memory usage of w3af in real time.
:author: Andres Riancho ([email protected])
'''
if not DEBUG_MEMORY:
return
else:
if DEBUG_REFERENCES:
print 'Object References:'
print '=================='
interesting = ['tuple', 'dict', 'list']
for interesting_klass in interesting:
interesting_instances = objgraph.by_type(interesting_klass)
sample = random.sample(interesting_instances, min(
SAMPLE_LEN, len(interesting_instances)))
for s in sample:
fmt = 'memory-refs/%s-backref-graph-%s.png'
fname = fmt % (interesting_klass, id(s))
ignores = [id(interesting_instances), id(s), id(sample)]
ignores.extend([id(v) for v in locals().values()])
ignores.extend([id(v) for v in globals().values()])
ignores.append(id(locals()))
ignores.append(id(globals()))
try:
objgraph.show_backrefs(s, highlight=inspect.isclass,
extra_ignore=ignores, filename=fname,
extra_info=_extra_info)
except:
pass
print
print 'Most common:'
print '============'
objgraph.show_most_common_types()
print
print 'Memory delta:'
print '============='
objgraph.show_growth(limit=25)
sorted_cmds, shareds, _, _ = get_memory_usage(None, True, True, True)
cmd = sorted_cmds[0]
msg = "%8sB Private + %8sB Shared = %8sB" % (human(cmd[1] - shareds[cmd[0]]),
human(shareds[cmd[0]
]), human(cmd[1])
)
print 'Total memory usage:', msg
