def measure_type(cls=None, group=None, before=None):
# gc.collect()
# d = defaultdict(list)
d = defaultdict(int)
if before is None:
before = tuple()
if cls:
# else:
# before = before[cls]
#
# print 'before', len(before)
d[cls] = set([id(o) for o in gc.get_objects()
if type(o) == cls])
# print 'xs', len(xs)
# d[cls] = filter(lambda x: not x in before, xs)
else:
objs = gc.get_objects()
if group:
objs = filter(lambda x: group in str(type(x)), objs)
for o in objs:
d[type(o)] += 1
# i = id(o)
# if before and not i in before:
# d[type(o)].append(i)
return d
def test_garbage_collect_cycle(Class):
from nose.tools import assert_not_in, assert_in
import gc
structure = get_a_structure(Class)
atom_ids = [id(u) for u in structure]
structure_id = id(structure)
scale_id = id(structure.scale)
# add a cycle
structure.parent_structure = structure
for this_id in atom_ids + [structure_id, scale_id]:
assert_in(this_id, [id(u) for u in gc.get_objects()])
assert_in(
structure_id,
[id(u) for u in gc.get_referents(structure.__dict__)]
)
# Deletes atom and collect garbage
# structure should then be truly destroyed, e.g. neither tracked nor in
# unreachables.
del structure
gc.collect()
for this_id in atom_ids + [structure_id, scale_id]:
assert_not_in(this_id, [id(u) for u in gc.get_objects()])
assert_not_in(this_id, [id(u) for u in gc.garbage])
def wrapper(*args, **kwargs):
"""
"""
# grab the pre-run memory info:
num_objects_before = len(gc.get_objects())
bytes_before = 0
if sys.platform == "Darwin":
import resource
bytes_before = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024.0 / 1024.0
# run the function:
res = func(*args, **kwargs)
# report any non-destroyed QObjects:
# Note, this will usually run before the main objects have been destroyed by the
# event loop so it's important to cross-check the output with subsequent lines.
report_non_destroyed_qobjects()
# cleanup and grab the post-run memory info:
gc.collect()
bytes_after = 0
if sys.platform == "Darwin":
bytes_after = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024.0 / 1024.0
num_objects_after = len(gc.get_objects())
# and report any difference in memory usage:
bytes_diff = bytes_after - bytes_before
obj_diff = num_objects_after - num_objects_before
msg = ("Memory before: %0.2fMb, current: %0.2fMb, leaked: %0.2fMb (%d new Python objects)"
% (bytes_before, bytes_after, bytes_diff, obj_diff))
app = sgtk.platform.current_bundle()
app.log_debug(msg)
# return the result:
return res
def assert_memory_leak(func, specific_objects=None):
"""Determines memory leaks based on :func:`gc.get_objects`.
Parameters
----------
func : callable
A function that does something and should in theory after being
finished not leak any objects.
specific_objects : type or None, optional
If None then it checks if any objects exist that didn't exist before
the function was called. If given a class it checks only if objects
of this class are present that were not before the function was called.
Raises
------
AssertionError
If any objects or one specific object leaked.
"""
before = defaultdict(int)
after = defaultdict(int)
for i in get_objects():
before[type(i)] += 1
func()
for i in get_objects():
after[type(i)] += 1
if specific_objects is None:
assert all(after[k] - before[k] == 0 for k in after)
else:
assert after[specific_objects] - before[specific_objects] == 0
def collectprint ( stage=None ): gc.collect() # garbage collect if stage != None: print stage print "\t#objects: %d" % len(gc.get_objects()) else: print "number of objects: %d" % len(gc.get_objects())
def decorator(self, **kwargs):
"""Finds existing Tensors, runs the test, checks for new Tensors."""
def _is_tensor(obj):
try:
return (isinstance(obj, ops.Tensor) or
isinstance(obj, variables.Variable))
except ReferenceError:
# If the object no longer exists, we don't care about it.
return False
tensors_before = set(id(obj) for obj in gc.get_objects() if _is_tensor(obj))
outside_container_prefix = ops.get_default_graph()._container_prefix
with IsolateTest():
# Run the test in a new graph so that collections get cleared when it's
# done, but inherit the container prefix so that we can print the values
# of variables which get leaked when executing eagerly.
ops.get_default_graph()._container_prefix = outside_container_prefix
f(self, **kwargs)
# Make an effort to clear caches, which would otherwise look like leaked
# Tensors.
backprop._last_zero = [None]
backprop._shape_dtype = [None, None]
context.get_default_context().scalar_cache().clear()
gc.collect()
tensors_after = [
obj for obj in gc.get_objects()
if _is_tensor(obj) and id(obj) not in tensors_before
]
if tensors_after:
raise AssertionError(("%d Tensors not deallocated after test: %s" % (
len(tensors_after),
str(tensors_after),
)))
def listObjs(regex='Q', typ=None):
"""List all objects managed by python gc with class name matching regex.
Finds 'Q...' classes by default."""
if typ is not None:
return [x for x in gc.get_objects() if isinstance(x, typ)]
else:
return [x for x in gc.get_objects() if re.match(regex, type(x).__name__)]
def stats(self, gc_collect=False):
stats = dict((key, comp.stats()) for key, comp
in self.components.items())
hub = hubs.get_hub()
gettypes = lambda t: [o for o in gc.get_objects() if
type(o).__name__ == t]
if gc_collect:
gc.collect() and gc.collect()
stats.update({
'server': {
'items': self._mqueue.qsize(),
'wsgi_free': self.server_pool.free(),
'wsgi_running': self.server_pool.running(),
},
'eventlet': {
'next_timers': len(hub.next_timers),
'timers': len(hub.timers),
'readers': len(hub.listeners['read']),
'writers': len(hub.listeners['write']),
'timers_count': hub.get_timers_count(),
},
'python': {
'greenthreads': len(gettypes('GreenThread')),
'gc_tracked_objs': len(gc.get_objects()),
}
})
return stats
def imap_memory_check(self, concurrency):
# checks that imap is strictly
# ordered and consumes a constant amount of memory
p = greenpool.GreenPool(concurrency)
count = 1000
it = p.imap(passthru, six.moves.range(count))
latest = -1
while True:
try:
i = it.next()
except StopIteration:
break
if latest == -1:
gc.collect()
initial_obj_count = len(gc.get_objects())
self.assert_(i > latest)
latest = i
if latest % 5 == 0:
eventlet.sleep(0.001)
if latest % 10 == 0:
gc.collect()
objs_created = len(gc.get_objects()) - initial_obj_count
self.assert_(objs_created < 25 * concurrency, objs_created)
# make sure we got to the end
self.assertEquals(latest, count - 1)
def refcount():
count = 0
print len(gc.get_objects())
for obj in gc.get_objects():
count += sys.getrefcount(obj)
return count
def rational_powers_memleak():
"""
Check that there is no memory leak in rational powers
OUTPUT:
Boolean. Whether the memory leak was detected.
See :trac:`9129`.
EXAMPLES::
sage: from sage.symbolic.tests import rational_powers_memleak
sage: rational_powers_memleak()
False
"""
from sage.rings.all import ZZ
import gc
gc.collect()
c0 = sum(1 for obj in gc.get_objects())
for i in range(1000):
a = ZZ(2).sqrt()
gc.collect()
c1 = sum(1 for obj in gc.get_objects())
# Test that we do not leak an object at each iteration
return (c1 - c0) >= 1000
def mem_stats():
import gc
print "DEBUG: OBJ STATS"
print "enabled:", gc.isenabled()
print "objs", len(gc.get_objects())
print "collected (now)", gc.collect()
# after collection
hist = {}
for obj in gc.get_objects():
key = str(type(obj))
if key not in hist:
hist[key] =1
else:
hist[key] += 1
best = hist.items()
best.sort(key=lambda x:x[1], reverse=True)
print "\n".join("%s: %d" % (k,v) for k,v in best[:10])
our = []
gtk = []
for item in best:
if "objects." in item[0] or "kupfer." in item[0]:
our.append(item)
if "gtk" in item[0]:
gtk.append(item)
#print "---just gtk (top)"
#print "\n".join("%s: %d" % (k,v) for k,v in gtk[:10])
print "---Just our objects (all > 1)"
print "\n".join("%s: %d" % (k,v) for k,v in our if v > 1)
def start(self):
"""
Start. Initialize the asynch io on accept.
"""
print "EventServiceAsynch: Event service start"
self.registerForListen()
self.junk = map(lambda o: id(o), gc.get_objects())
while (1):
gc.collect()
try:
self.junk3 = gc.get_objects()
junk = list()
for o in self.junk3:
if id(o) not in self.junk and id(o) != id(self.junk) and id(o) != id(junk):
junk.append(o)
print "JUNK REPORT: %d %d" % (len(self.junk), len(self.junk3))
print " ************* "
map(lambda o: Info(o), junk)
print " ************* "
del self.junk3
del junk
except:
log.exception("Showing j3")
time.sleep(0.1)
def OnKeyChar(self, keyCode): if keyCode == wx.WXK_DELETE or keyCode == wx.WXK_NUMPAD_DELETE: if self._selectedObj is not None: self._deleteObject(self._selectedObj) self.QueueRefresh() if keyCode == wx.WXK_UP: self.layerSelect.setValue(self.layerSelect.getValue() + 1) self.QueueRefresh() elif keyCode == wx.WXK_DOWN: self.layerSelect.setValue(self.layerSelect.getValue() - 1) self.QueueRefresh() elif keyCode == wx.WXK_PAGEUP: self.layerSelect.setValue(self.layerSelect.getValue() + 10) self.QueueRefresh() elif keyCode == wx.WXK_PAGEDOWN: self.layerSelect.setValue(self.layerSelect.getValue() - 10) self.QueueRefresh() if keyCode == wx.WXK_F3 and wx.GetKeyState(wx.WXK_SHIFT): shaderEditor(self, self.ShaderUpdate, self._objectLoadShader.getVertexShader(), self._objectLoadShader.getFragmentShader()) if keyCode == wx.WXK_F4 and wx.GetKeyState(wx.WXK_SHIFT): from collections import defaultdict from gc import get_objects self._beforeLeakTest = defaultdict(int) for i in get_objects(): self._beforeLeakTest[type(i)] += 1 if keyCode == wx.WXK_F5 and wx.GetKeyState(wx.WXK_SHIFT): from collections import defaultdict from gc import get_objects self._afterLeakTest = defaultdict(int) for i in get_objects(): self._afterLeakTest[type(i)] += 1 for k in self._afterLeakTest: if self._afterLeakTest[k]-self._beforeLeakTest[k]: print k, self._afterLeakTest[k], self._beforeLeakTest[k], self._afterLeakTest[k] - self._beforeLeakTest[k]
def memfootprint():
import gc
objs = gc.get_objects()
classes = set( c.__class__ for c in gc.get_objects() if hasattr(c,'__class__') )
# print "\n".join([c.__name__ for c in classes])
print "#objects=",len(objs)
print "#classes=",len(classes)
def checkExceptionPerGreenlet(outfileName=None, ignoreHealthyOnes=True):
mylog("Trying to detect greenlets...", verboseLevel=-2)
if not outfileName:
for ob in gc.get_objects():
if not hasattr(ob, 'parent_args'):
continue
if not ob:
continue
if ignoreHealthyOnes and (not ob.exception):
continue
mylog('%s[%s] called with parent arg\n(%s)\n%s' % (ob.name, repr(ob.args), repr(ob.parent_args),
''.join(traceback.format_stack(ob.gr_frame))), verboseLevel=-2)
mylog(ob.exception, verboseLevel=-2)
else:
handler = open(outfileName, 'w')
for ob in gc.get_objects():
if not hasattr(ob, 'parent_args'):
continue
if not ob:
continue
if ignoreHealthyOnes and (not ob.exception):
continue
handler.write('%s[%s] called with parent arg\n(%s)\n%s' % (ob.name, repr(ob.args), repr(ob.parent_args),
''.join(traceback.format_stack(ob.gr_frame))))
handler.write(ob.exception)
def assertNoMemoryLeaks(self, f):
object_ids_before = {id(o) for o in gc.get_objects()}
f()
gc.collect()
objects_after = tuple(
o for o in gc.get_objects() if id(o) not in object_ids_before)
self.assertEmpty(
tuple(o for o in objects_after if isinstance(o, TestResource)))
def select_objects(string): if not string: return gc.get_objects() elif string[0] in "0123456789": number=int(string, 16) return tuple(object for object in gc.get_objects() if id(object)==number) else: return tuple(object for object in gc.get_objects() if get_type_name(object)==string)
def assertNoMemoryLeaks(self, target_f):
refs_before = set(id(obj) for obj in gc.get_objects())
target_f()
gc.collect()
objs_after = [obj for obj in gc.get_objects() if id(obj) not in refs_before]
leaked = [obj for obj in objs_after if isinstance(obj, TestResource)]
self.assertFalse(leaked,
'Resources {} were leaked by AutoGraph.'.format(leaked))
def tearDown(self):
gc.collect()
self.assertEqual(len(gc.garbage), self.gc_count)
if len(gc.garbage)>0:
if self.verbose>1: print gc.get_objects()
#TODO be pedantic and fail?
del gc.garbage[:]
gc.set_threshold(*self.gc_threshold_old)
gc.set_debug(self.gc_flags_old)
def get_objects_skipping_sqlite_issue():
# pysqlite keeps adding weakref objects which only
# get reset after 220 iterations. We'd like to keep these
# tests under 50 iterations and ideally about ten, so
# just filter them out so that we get a "flatline" more quickly.
if testing.against("sqlite+pysqlite"):
return [o for o in gc.get_objects()
if not isinstance(o, weakref.ref)]
else:
return gc.get_objects()
def main():
for _ in xrange(5):
logging.debug(memory_usage())
logging.debug(all_info(gc.get_objects()))
x = make_big_list()
logging.debug(memory_usage())
logging.debug(all_info(gc.get_objects()))
del x
logging.debug(memory_usage())
logging.debug(all_info(gc.get_objects()))
def test_leakage(env):
import gc
env.make_file('xxx.h', 'SOME SIGNIFICANTLY LONG CONTENT' * 10 * 1024)
env.make_file('a.cpp', '#include "xxx.h"\n')
memviews = len(list(None for x in gc.get_objects() if type(x) == memoryview))
for x in range(16):
env.run('a.cpp')
memviews2 = len(list(None for x in gc.get_objects() if type(x) == memoryview))
assert memviews == memviews2
def gc_object_count(self):
# Python 2.7 doesn't seem to free all objects even for a full
# collection, so collect repeatedly until no further objects get freed.
old_count, count = len(gc.get_objects()), 0
while True:
gc.collect()
count = len(gc.get_objects())
if count == old_count:
return count
old_count = count
def test_errobj_reference_leak(self, level=rlevel):
"""Ticket #955"""
z = int(0)
p = np.int32(-1)
gc.collect()
n_before = len(gc.get_objects())
z**p # this shouldn't leak a reference to errobj
gc.collect()
n_after = len(gc.get_objects())
assert n_before >= n_after, (n_before, n_after)
def test_memory(self):
# make sure we aren't leaking memory in our C module
gc.collect()
start_count = len(gc.get_objects())
results = ngrams.breakup_list(['foo', 'bar', 'bazbaz'], 1, 3)
results2 = ngrams.breakup_word('miroiscool', 1, 3)
del results
del results2
gc.collect()
end_count = len(gc.get_objects())
self.assertEquals(start_count, end_count)
def _print_memory_status():
_stop_memory_tracing()
mem_usage = memory_usage()
num_objects = len(gc.get_objects())
obj_mem_usage = sum(sys.getsizeof(obj) for obj in gc.get_objects())
log_info("GC objects: %s, size: %.1f KiB, heap memory usage: %s Kb",
num_objects, obj_mem_usage / 1024, mem_usage)
def gc_objects_by_type(tipe):
"""
Return a list of objects from the garbage collector by type.
"""
import inspect
import gc
if isinstance(tipe, str):
return [o for o in gc.get_objects() if type(o).__name__ == tipe]
elif inspect.isclass(tipe):
return [o for o in gc.get_objects() if isinstance(o, tipe)]
else:
return [o for o in gc.get_objects() if isinstance(o, type(tipe))]
def check_for_obj_leakage(f, *args, **kwargs):
"""
The idea is that I am going to invoke f(), then run gc.collect(), then run
gc.get_objects() to get a complete list of all objects in the system, then
invoke f() a second time, then run gc.collect(), then run gc.get_objects()
to get a list of all the objects *now* in the system.
Then I return a tuple two things: the first element of the tuple is the
difference between the number of objects in the second list and the number
of objects in the first list.
I.e., if this number is zero then you can be pretty sure there is no memory
leak, unless f is deleting some objects and replacing them by exactly the
same number of objects but the new objects take up more memory. If this
number is greater than zero then you can pretty sure there is a memory
leak, unless f is doing some memoization/caching behavior and it will
eventually stabilize, which you can detect by running
check_for_obj_leakage() more times and seeing if it stabilizes.
(Actually we run f() followed by gc.collect() one time before we start in
order to account for any static objects which are created the first time
you run f() and then re-used after that.)
The second element in the return value is the set of all objects which were
present in the second list and not in the first. Some of these objects
might be memory-leaked objects, or perhaps f deleted some objects and
replaced them with equivalent objects, in which case these objects are not
leaked.
(We actually invoke gc.collect() three times in a row in case there are
objects which get collected in the first pass that have finalizers which
create new reference-cycled objects... "3" is a superstitious number -- we
figure most of the time the finalizers of the things produced by the first
round of finalizers won't themselves product another round of
reference-cycled objects.)
"""
f()
gc.collect();gc.collect();gc.collect()
f()
gc.collect();gc.collect();gc.collect()
r1 = gc.get_objects()
f()
gc.collect();gc.collect();gc.collect()
r2 = gc.get_objects()
d2 = dict([(id(x), x) for x in r2])
# Now remove everything from r1, and r1 itself, from d2.
del d2[id(r1)]
for o in r1:
if id(o) in d2:
del d2[id(o)]
return (len(r2) - len(r1) - 1, d2)
def search_object(string): if not string: raise None elif string[0] in "0123456789": number=int(string, 16) for object in gc.get_objects(): if id(object)==number: return object return None else: for object in gc.get_objects(): if get_type_name(object)==string: return object raise None
def _find_objects(t):
return [o for o in gc.get_objects() if isinstance(o, t)]
def instances_by_name(name_filter):
"""
Return the list of objects that exactly match the given
name_filter.
"""
return [o for o in gc.get_objects() if name_filter == typename(o)]
def get_greenlets():
for object in gc.get_objects():
if isinstance(object, gevent.Greenlet):
yield object
def get_new_ids(skip_update=False,
limit=10,
sortby='deltas',
shortnames=None,
file=None,
_state={}):
"""Find and display new objects allocated since last call.
Shows the increase in object counts since last call to this
function and returns the memory address ids for new objects.
Returns a dictionary mapping object type names to sets of object IDs
that have been created since the last time this function was called.
``skip_update`` (bool): If True, returns the same dictionary that
was returned during the previous call without updating the internal
state or examining the objects currently in memory.
``limit`` (int): The maximum number of rows that you want to print
data for. Use 0 to suppress the printing. Use None to print everything.
``sortby`` (str): This is the column that you want to sort by in
descending order. Possible values are: 'old', 'current', 'new',
'deltas'
``shortnames`` (bool): If True, classes with the same name but
defined in different modules will be lumped together. If False,
all type names will be qualified with the module name. If None (default),
``get_new_ids`` will remember the value from previous calls, so it's
enough to prime this once. By default the primed value is True.
``_state`` (dict): Stores old, current, and new_ids in memory.
It is used by the function to store the internal state between calls.
Never pass in this argument unless you know what you're doing.
The caveats documented in :func:`growth` apply.
When one gets new_ids from :func:`get_new_ids`, one can use
:func:`at_addrs` to get a list of those objects. Then one can iterate over
the new objects, print out what they are, and call :func:`show_backrefs` or
:func:`show_chain` to see where they are referenced.
Example:
>>> _ = get_new_ids() # store current objects in _state
>>> _ = get_new_ids() # current_ids become old_ids in _state
>>> a = [0, 1, 2] # list we don't know about
>>> b = [3, 4, 5] # list we don't know about
>>> new_ids = get_new_ids(limit=3) # we see new lists
======================================================================
Type Old_ids Current_ids New_ids Count_Deltas
======================================================================
list 324 326 +3 +2
dict 1125 1125 +0 +0
wrapper_descriptor 1001 1001 +0 +0
======================================================================
>>> new_lists = at_addrs(new_ids['list'])
>>> a in new_lists
True
>>> b in new_lists
True
.. versionadded:: 3.4
"""
if not _state:
_state['old'] = collections.defaultdict(set)
_state['current'] = collections.defaultdict(set)
_state['new'] = collections.defaultdict(set)
_state['shortnames'] = True
new_ids = _state['new']
if skip_update:
return new_ids
old_ids = _state['old']
current_ids = _state['current']
if shortnames is None:
shortnames = _state['shortnames']
else:
_state['shortnames'] = shortnames
gc.collect()
objects = gc.get_objects()
for class_name in old_ids:
old_ids[class_name].clear()
for class_name, ids_set in current_ids.items():
old_ids[class_name].update(ids_set)
for class_name in current_ids:
current_ids[class_name].clear()
for o in objects:
if shortnames:
class_name = _short_typename(o)
else:
class_name = _long_typename(o)
id_number = id(o)
current_ids[class_name].add(id_number)
for class_name in new_ids:
new_ids[class_name].clear()
rows = []
keys_to_remove = []
for class_name in current_ids:
num_old = len(old_ids[class_name])
num_current = len(current_ids[class_name])
if num_old == 0 and num_current == 0:
# remove the key from our dicts if we don't have any old or
# current class_name objects
keys_to_remove.append(class_name)
continue
new_ids_set = current_ids[class_name] - old_ids[class_name]
new_ids[class_name].update(new_ids_set)
num_new = len(new_ids_set)
num_delta = num_current - num_old
row = (class_name, num_old, num_current, num_new, num_delta)
rows.append(row)
for key in keys_to_remove:
del old_ids[key]
del current_ids[key]
del new_ids[key]
index_by_sortby = {'old': 1, 'current': 2, 'new': 3, 'deltas': 4}
rows.sort(key=operator.itemgetter(index_by_sortby[sortby], 0),
reverse=True)
if limit is not None:
rows = rows[:limit]
if not rows:
return new_ids
if file is None:
file = sys.stdout
width = max(len(row[0]) for row in rows)
print('=' * (width + 13 * 4), file=file)
print('%-*s%13s%13s%13s%13s' %
(width, 'Type', 'Old_ids', 'Current_ids', 'New_ids', 'Count_Deltas'),
file=file)
print('=' * (width + 13 * 4), file=file)
for row_class, old, current, new, delta in rows:
print('%-*s%13d%13d%+13d%+13d' %
(width, row_class, old, current, new, delta),
file=file)
print('=' * (width + 13 * 4), file=file)
return new_ids
def _find_objects(instance_type):
""" Find objects by type.
"""
return [o for o in gc.get_objects() if isinstance(o, instance_type)]
def dump_info(signal=None,
frame=None,
file=sys.stdout,
testing=False): # pragma: no cover
print("****************************************************", file=file)
print("Summary", file=file)
print("=======", file=file)
try:
import psutil
except:
print("(psutil not installed, skipping some debug info)", file=file)
else:
p = psutil.Process()
print("num threads: ", p.num_threads(), file=file)
if hasattr(p, "num_fds"):
print("num fds: ", p.num_fds(), file=file)
print("memory: ", p.memory_info(), file=file)
print(file=file)
print("Files", file=file)
print("=====", file=file)
for i in p.open_files():
print(i, file=file)
print(file=file)
print("Connections", file=file)
print("===========", file=file)
for i in p.connections():
print(i, file=file)
print(file=file)
print("Threads", file=file)
print("=======", file=file)
bthreads = []
for i in threading.enumerate():
if hasattr(i, "_threadinfo"):
bthreads.append(i)
else:
print(i.name, file=file)
bthreads.sort(key=lambda x: x._thread_started)
for i in bthreads:
print(i._threadinfo(), file=file)
print()
print("Memory", file=file)
print("=======", file=file)
gc.collect()
d = {}
for i in gc.get_objects():
t = str(type(i))
if "mitmproxy" in t or "netlib" in t:
d[t] = d.setdefault(t, 0) + 1
itms = list(d.items())
itms.sort(key=lambda x: x[1])
for i in itms[-20:]:
print(i[1], i[0], file=file)
print("****************************************************", file=file)
if not testing:
sys.exit(1)
dtl.loadTestsFromModule(test_interactivetree),
dtl.loadTestsFromModule(test_iterators_lists),
dtl.loadTestsFromModule(test_matching),
dtl.loadTestsFromModule(test_pickling),
dtl.loadTestsFromModule(test_names),
dtl.loadTestsFromModule(test_properties),
dtl.loadTestsFromModule(test_retrieval),
dtl.loadTestsFromModule(test_setting),
dtl.loadTestsFromModule(test_update),
dtl.loadTestsFromModule(test_regressions)
])
if '--verbose' in sys.argv:
import gc
start_count = len(gc.get_objects())
print "Running tests with base TreeDict module."
common._inheritance_level = 0
unittest.TextTestRunner(verbosity=2).run(ts)
gc.collect()
print "Running tests with inherited class."
common._inheritance_level = 1
unittest.TextTestRunner(verbosity=2).run(ts)
gc.collect()
print "Running tests with twice-inherited class."
common._inheritance_level = 2
unittest.TextTestRunner(verbosity=2).run(ts)
gc.collect()
def doMagicWord(self, word, avId, zoneId):
wordIs = self.getWordIs(word)
print word
if wordIs("~oobe"):
base.oobe()
elif wordIs("~oobeCull"):
base.oobeCull()
elif wordIs("~tex"):
self.doTex(word)
elif wordIs("~texmem"):
base.toggleTexMem()
elif wordIs("~verts"):
base.toggleShowVertices()
elif wordIs("~wire"):
base.toggleWireframe()
elif wordIs("~stereo"):
base.toggleStereo()
elif wordIs("~showfont"):
self.showfont(word[9:])
elif wordIs("~hidefont"):
self.hidefont()
elif wordIs("~guiPopup"):
self.toggleGuiPopup()
elif wordIs("~showCS") or wordIs("~showcs"):
bitmask = self.getCSBitmask(word[7:])
render.showCS(bitmask)
self.csShown = 1
elif wordIs("~hideCS") or wordIs("~hidecs"):
bitmask = self.getCSBitmask(word[7:])
render.hideCS(bitmask)
self.csShown = 0
elif wordIs("~cs"):
# Toggle hide/show collision solids:
# (Also a shorthand for ~hideCS and ~showCS).
bitmask = self.getCSBitmask(word[3:])
if self.csShown:
render.hideCS(bitmask)
self.csShown = 0
else:
render.showCS(bitmask)
self.csShown = 1
elif wordIs("~showShadowCollisions"):
self.showShadowCollisions()
elif wordIs("~hideShadowCollisions"):
self.hideShadowCollisions()
elif wordIs("~showCollisions"):
self.showCollisions()
elif wordIs("~hideCollisions"):
self.hideCollisions()
elif wordIs("~showCameraCollisions"):
self.showCameraCollisions()
elif wordIs("~hideCameraCollisions"):
self.hideCameraCollisions()
elif wordIs("~collidespam"):
n = Notify.ptr().getCategory(':collide')
if hasattr(self, '_collideSpamSeverity'):
n.setSeverity(self._collideSpamSeverity)
del self._collideSpamSeverity
else:
self._collideSpamSeverity = n.getSeverity()
n.setSeverity(NSSpam)
elif wordIs("~notify"):
args = word.split()
n = Notify.ptr().getCategory(args[1])
n.setSeverity({
'error': NSError,
'warning': NSWarning,
'info': NSInfo,
'debug': NSDebug,
'spam': NSSpam,
}[args[2]])
# MPG we probably need generic versions of these
#elif wordIs("~listen"):
# base.localAvatar.garbleChat = 0
#elif wordIs("~nochat") or wordIs("~chat") or wordIs("~superchat"):
# base.localAvatar.garbleChat = 1
elif wordIs("~stress"):
factor = word[7:]
if factor:
factor = float(factor)
LOD.setStressFactor(factor)
response = "Set LOD stress factor to %s" % (factor)
else:
factor = LOD.getStressFactor()
response = "LOD stress factor is %s" % (factor)
self.setMagicWordResponse(response)
elif wordIs("~for"):
self.forAnother(word, avId, zoneId)
elif wordIs("~badname"):
# ~badname with an argument becomes ~for ... ~badname
word = "~for %s ~badname" % (word[9:])
print "word is %s" % (word)
self.forAnother(word, avId, zoneId)
elif wordIs('~avId'):
self.setMagicWordResponse(str(localAvatar.doId))
elif wordIs("~doId"):
name = string.strip(word[6:])
objs = self.identifyDistributedObjects(name)
if (len(objs) == 0):
response = "%s is unknown." % (name)
else:
response = ""
for name, obj in objs:
response += "\n%s %d" % (name, obj.doId)
response = response[1:]
self.setMagicWordResponse(response)
# MPG - need generic versions of these
#elif wordIs("~collisions_on"):
# base.localAvatar.collisionsOn()
#elif wordIs("~collisions_off"):
# base.localAvatar.collisionsOff()
#elif wordIs('~addCameraPosition'):
# base.localAvatar.addCameraPosition()
#elif wordIs('~removeCameraPosition'):
# base.localAvatar.removeCameraPosition()
#elif wordIs('~printCameraPosition'):
# base.localAvatar.printCameraPosition(
# base.localAvatar.cameraIndex)
#elif wordIs('~printCameraPositions'):
# base.localAvatar.printCameraPositions()
elif wordIs("~exec"):
# Enable execChat.
from otp.chat import ChatManager
ChatManager.ChatManager.execChat = 1
elif wordIs("~run"):
self.toggleRun()
elif wordIs("~runFaster"):
if (config.GetBool("want-running", 1)):
args = word.split()
if (len(args) > 1):
base.debugRunningMultiplier = float(args[1])
else:
base.debugRunningMultiplier = 10
inputState.set("debugRunning", True)
elif wordIs("~who"):
# Get all the nearby avIds and send them to the AI.
avIds = []
for av in Avatar.Avatar.ActiveAvatars:
# If the avatar has a friends list, it's probably a
# real avatar and not an NPC.
if hasattr(av, "getFriendsList"):
avIds.append(av.doId)
self.d_setWho(avIds)
elif wordIs("~sync"):
# Sync with the AI, like F6, but rather than accumulating
# sync informatoin, throw away whatever information was
# there from before. If a second parameter is supplied,
# it is a number of seconds of temporary extra skew to
# apply; the default is 0.
tm = self.cr.timeManager
if tm == None:
response = "No TimeManager."
self.setMagicWordResponse(response)
else:
tm.extraSkew = 0.0
skew = string.strip(word[5:])
if skew != "":
tm.extraSkew = float(skew)
globalClockDelta.clear()
tm.handleHotkey()
elif wordIs("~period"):
# Reset the period timer to expire in the indicated number
# of seconds, or with no parameter, report the number of
# seconds remaining.
timeout = string.strip(word[7:])
if timeout != "":
seconds = int(timeout)
self.cr.stopPeriodTimer()
self.cr.resetPeriodTimer(seconds)
self.cr.startPeriodTimer()
# Now report the number of seconds remaining.
if self.cr.periodTimerExpired:
response = "Period timer has expired."
elif self.cr.periodTimerStarted:
elapsed = globalClock.getFrameTime(
) - self.cr.periodTimerStarted
secondsRemaining = self.cr.periodTimerSecondsRemaining - elapsed
response = "Period timer expires in %s seconds." % (
int(secondsRemaining))
else:
response = "Period timer not set."
self.setMagicWordResponse(response)
elif wordIs("~DIRECT"):
args = word.split()
fEnableLight = 0
if len(args) > 1:
if direct and (args[1] == 'CAM'):
direct.enable()
taskMgr.removeTasksMatching('updateSmartCamera*')
camera.wrtReparentTo(render)
direct.cameraControl.enableMouseFly()
self.setMagicWordResponse("Enabled DIRECT camera")
return
elif args[1] == 'LIGHT':
fEnableLight = 1
# Start up DIRECT
base.startTk()
from direct.directtools import DirectSession
if fEnableLight:
direct.enableLight()
else:
direct.enable()
self.setMagicWordResponse("Enabled DIRECT")
elif wordIs("~TT"):
if not direct:
return
args = word.split()
if len(args) > 1:
if (args[1] == 'CAM'):
direct.cameraControl.disableMouseFly()
camera.wrtReparentTo(base.localAvatar)
base.localAvatar.startUpdateSmartCamera()
self.setMagicWordResponse("Disabled DIRECT camera")
return
# Return to toontown mode
direct.disable()
camera.wrtReparentTo(base.localAvatar)
base.localAvatar.startUpdateSmartCamera()
self.setMagicWordResponse("Disabled DIRECT")
elif wordIs("~net"):
# Simulate pulling or restoring the network plug.
if self.cr.networkPlugPulled():
self.cr.restoreNetworkPlug()
self.cr.startHeartbeat()
response = "Network restored."
else:
self.cr.pullNetworkPlug()
self.cr.stopHeartbeat()
response = "Network disconnected."
self.setMagicWordResponse(response)
elif wordIs('~disconnect'):
# force a simulated disconnect
# you can also do this from the OTP webpage
base.cr.distributedDistrict.sendUpdate('broadcastMessage')
elif wordIs("~model"):
# load a model into the scene graph at the location of localAvatar
args = word.split()
path = args[1]
model = loader.loadModel(path)
model.reparentTo(localAvatar)
model.wrtReparentTo(render)
self.setMagicWordResponse('loaded %s' % path)
elif wordIs("~axis"):
# Show a 10 foot and 100 foot axis at the spot of the avatar
# axis aligned to render
axis = loader.loadModel("models/misc/xyzAxis.bam")
axis.reparentTo(render)
axis.setPos(base.localAvatar, 0, 0, 0)
axis.setHpr(render, 0, 0, 0)
axis10 = loader.loadModel("models/misc/xyzAxis.bam")
axis10.reparentTo(render)
axis10.setPos(base.localAvatar, 0, 0, 0)
axis10.setScale(10)
axis10.setHpr(render, 0, 0, 0)
axis10.setColorScale(1, 1, 1, 0.4)
axis10.setTransparency(1)
elif (wordIs("~clearAxes") or wordIs("~clearAxis")):
# Remove the effects of ~axis calls
render.findAllMatches("**/xyzAxis.egg").detach()
elif wordIs("~myAxis"):
if hasattr(self, 'myAxis'):
self.myAxis.detachNode()
del self.myAxis
else:
self.myAxis = loader.loadModel("models/misc/xyzAxis.bam")
self.myAxis.reparentTo(localAvatar)
elif (wordIs("~osd")):
onScreenDebug.enabled = not onScreenDebug.enabled
elif wordIs("~osdScale"):
args = word.split()
defScale = .05
if len(args) > 1:
scale = float(args[1])
else:
scale = 1.
onScreenDebug.onScreenText.setScale(defScale * scale)
elif wordIs('~osdTaskMgr'):
if taskMgr.osdEnabled():
taskMgr.stopOsd()
else:
if not onScreenDebug.enabled:
onScreenDebug.enabled = True
taskMgr.startOsd()
elif wordIs("~fps"):
self.doFps(word, avId, zoneId)
elif wordIs("~sleep"):
args = word.split()
if len(args) > 1:
s = float(args[1])
base.setSleep(s)
response = 'sleeping %s' % s
else:
base.setSleep(0.0)
response = 'not sleeping'
self.setMagicWordResponse(response)
elif wordIs('~objects'):
args = word.split()
from direct.showbase import ObjectReport
report = ObjectReport.ObjectReport('client ~objects')
if 'all' in args:
self.notify.info('printing full object set...')
report.getObjectPool().printObjsByType(
printReferrers='ref' in args)
if hasattr(self, 'baselineObjReport'):
self.notify.info(
'calculating diff from baseline ObjectReport...')
self.lastDiff = self.baselineObjReport.diff(report)
self.lastDiff.printOut(full=('diff' in args or 'dif' in args))
if 'baseline' in args or not hasattr(self, 'baselineObjReport'):
self.notify.info('recording baseline ObjectReport...')
if hasattr(self, 'baselineObjReport'):
self.baselineObjReport.destroy()
self.baselineObjReport = report
self.setMagicWordResponse('objects logged')
elif wordIs('~objecthg'):
import gc
objs = gc.get_objects()
type2count = {}
for obj in objs:
tn = safeTypeName(obj)
type2count.setdefault(tn, 0)
type2count[tn] += 1
count2type = invertDictLossless(type2count)
counts = count2type.keys()
counts.sort()
counts.reverse()
for count in counts:
print '%s: %s' % (count, count2type[count])
self.setMagicWordResponse('~aiobjecthg complete')
elif wordIs('~containers'):
args = word.split()
limit = 30
if 'full' in args:
limit = None
ContainerReport.ContainerReport('~containers',
log=True,
limit=limit,
threaded=True)
elif wordIs('~garbage'):
args = word.split()
# it can take a LOOONG time to print out the garbage referrers and referents
# by reference (as opposed to by number)
full = 'full' in args
safeMode = 'safe' in args
delOnly = 'delonly' in args
# This does a garbage collection and dumps the list of leaked (uncollectable) objects to the log.
GarbageReport.GarbageLogger('~garbage',
fullReport=full,
threaded=True,
safeMode=safeMode,
delOnly=delOnly,
doneCallback=self.garbageReportDone)
# this is coming back from the AI
#self.setMagicWordResponse('garbage logged')
elif wordIs('~guicreates'):
base.printGuiCreates = True
self.setMagicWordResponse('printing gui creation stacks')
elif wordIs("~creategarbage"):
GarbageReport._createGarbage()
# this is coming back from the AI
#self.setMagicWordResponse(senderId, 'leaked garbage created')
elif wordIs('~leakTask'):
def leakTask(task):
return task.cont
taskMgr.add(leakTask, uniqueName('leakedTask'))
leakTask = None
# this is coming back from the AI
#self.setMagicWordResponse(senderId, 'leaked task created')
elif wordIs('~leakmessage'):
MessengerLeakDetector._leakMessengerObject()
self.down_setMagicWordResponse(senderId,
'messenger leak object created')
elif wordIs('~pstats'):
args = word.split()
hostname = None
port = None
if len(args) > 1:
hostname = args[1]
if len(args) > 2:
port = int(args[2])
# make sure pstats is enabled
base.wantStats = 1
Task.TaskManager.pStatsTasks = 1
result = base.createStats(hostname, port)
connectionName = '%s' % hostname
if port is not None:
connectionName += ':%s' % port
if result:
response = 'connected client pstats to %s' % connectionName
else:
response = 'could not connect pstats to %s' % connectionName
self.setMagicWordResponse(response)
elif wordIs('~profile'):
args = word.split()
if len(args) > 1:
num = int(args[1])
else:
num = 5
session = taskMgr.getProfileSession('~profile')
session.setLogAfterProfile(True)
taskMgr.profileFrames(num, session)
self.setMagicWordResponse('profiling %s client frames...' % num)
elif wordIs('~frameprofile'):
args = word.split()
wasOn = bool(taskMgr.getProfileFrames())
if len(args) > 1:
setting = bool(int(args[1]))
else:
setting = not wasOn
taskMgr.setProfileFrames(setting)
self.setMagicWordResponse(
'frame profiling %s%s' %
(choice(setting, 'ON',
'OFF'), choice(wasOn == setting, ' already', '')))
elif wordIs('~taskprofile'):
args = word.split()
wasOn = bool(taskMgr.getProfileTasks())
if len(args) > 1:
setting = bool(int(args[1]))
else:
setting = not wasOn
taskMgr.setProfileTasks(setting)
self.setMagicWordResponse(
'task profiling %s%s' %
(choice(setting, 'ON',
'OFF'), choice(wasOn == setting, ' already', '')))
elif wordIs('~taskspikethreshold'):
args = word.split()
if len(args) > 1:
threshold = float(args[1])
response = 'task spike threshold set to %ss' % threshold
else:
threshold = TaskProfiler.GetDefaultSpikeThreshold()
response = 'task spike threshold reset to %ss' % threshold
TaskProfiler.SetSpikeThreshold(threshold)
self.setMagicWordResponse(response)
elif wordIs('~logtaskprofiles'):
args = word.split()
if len(args) > 1:
name = args[1]
else:
name = None
taskMgr.logTaskProfiles(name)
response = 'logged task profiles%s' % choice(
name, ' for %s' % name, '')
self.setMagicWordResponse(response)
elif wordIs('~taskprofileflush'):
args = word.split()
if len(args) > 1:
name = args[1]
else:
name = None
taskMgr.flushTaskProfiles(name)
response = 'flushed AI task profiles%s' % choice(
name, ' for %s' % name, '')
self.setMagicWordResponse(response)
elif wordIs('~objectcount'):
base.cr.printObjectCount()
self.setMagicWordResponse(
'logging client distributed object count...')
elif wordIs('~taskmgr'):
print taskMgr
self.setMagicWordResponse('logging client taskMgr...')
elif wordIs('~jobmgr'):
print jobMgr
self.setMagicWordResponse('logging client jobMgr...')
elif wordIs('~jobtime'):
args = word.split()
if len(args) > 1:
time = float(args[1])
else:
time = None
response = ''
if time is None:
time = jobMgr.getDefaultTimeslice()
response = 'reset client jobMgr timeslice to %s ms' % time
else:
response = 'set client jobMgr timeslice to %s ms' % time
time = time / 1000.
jobMgr.setTimeslice(time)
self.setMagicWordResponse(response)
elif wordIs('~detectleaks'):
started = self.cr.startLeakDetector()
self.setMagicWordResponse(
choice(
started,
'leak detector started',
'leak detector already started',
))
elif wordIs('~taskthreshold'):
args = word.split()
if len(args) > 1.:
threshold = float(args[1])
else:
threshold = None
response = ''
if threshold is None:
threshold = taskMgr.DefTaskDurationWarningThreshold
response = 'reset task duration warning threshold to %s' % threshold
else:
response = 'set task duration warning threshold to %s' % threshold
taskMgr.setTaskDurationWarningThreshold(threshold)
self.setMagicWordResponse(response)
elif wordIs('~messenger'):
print messenger
self.setMagicWordResponse('logging client messenger...')
elif wordIs('~clientcrash'):
# if we call notify.error directly, the magic word mgr will catch it
# self.notify.error doesn't seem to work either
DelayedCall(
Functor(self.notify.error,
'~clientcrash: simulating a client crash'))
elif wordIs('~badDelete'):
doId = 0
while doId in base.cr.doId2do:
doId += 1
# location (0,0) is special, pass in (1,1)
# deleteObjectLocation expects a DO, pass in a ScratchPad instead
# we must delay the call because magicWordMgr is in a big try/except block
DelayedCall(
Functor(base.cr.deleteObjectLocation, ScratchPad(doId=doId), 1,
1))
self.setMagicWordResponse('doing bad delete')
elif wordIs("~idTags"):
messenger.send('nameTagShowAvId', [])
base.idTags = 1
elif wordIs("~nameTags"):
messenger.send('nameTagShowName', [])
base.idTags = 0
elif wordIs("~hideNames"):
# note do ~hideNames before ~hideGui if you want both off
if NametagGlobals.getMasterNametagsVisible():
NametagGlobals.setMasterNametagsVisible(0)
else:
NametagGlobals.setMasterNametagsVisible(1)
elif wordIs("~hideGui"):
if aspect2d.isHidden():
aspect2d.show()
else:
aspect2d.hide()
elif wordIs('~flush'):
base.cr.doDataCache.flush()
base.cr.cache.flush()
self.setMagicWordResponse('client object and data caches flushed')
elif wordIs('~prof'):
import time
### set up ###
name = 'default'
p = Point3()
##############
ts = time.time()
for i in xrange(1000000):
### code to be timed ###
p.set(1, 2, 3)
########################
tf = time.time()
dt = tf - ts
response = 'prof(%s): %s secs' % (name, dt)
print response
self.setMagicWordResponse(response)
elif wordIs('~gptc'):
args = word.split()
if len(args) > 1. and hasattr(self.cr, 'leakDetector'):
gptcJob = self.cr.leakDetector.getPathsToContainers(
'~gptc', args[1], Functor(self._handleGPTCfinished,
args[1]))
else:
self.setMagicWordResponse('error')
elif wordIs('~gptcn'):
args = word.split()
if len(args) > 1. and hasattr(self.cr, 'leakDetector'):
gptcnJob = self.cr.leakDetector.getPathsToContainersNamed(
'~gptcn', args[1],
Functor(self._handleGPTCNfinished, args[1]))
else:
self.setMagicWordResponse('error')
else:
# Not a magic word I know!
return 0
return 1
load_file_in_context('script.py')
import gc
import re
objs = gc.get_objects()[:]
blockchain_objects = []
for obj in objs:
if (isinstance(obj, Blockchain)):
blockchain_objects.append(obj)
blockchain = blockchain_objects[0]
# checking for fake transactions
if blockchain.chain[2].transactions != fake_transactions:
fail_tests(
'Did you modify the transactions to fake_transactions in the second block that was added?'
)
with open('script.py', 'r') as file:
if re.search('(local_blockchain)(\\.)(validate_chain)(\\(\\))',
file.read()):
pass_tests()
else:
fail_tests(
'Did you use the correct method to validate the blockchain?')
#!/usr/bin/env python3.8
# using_gc.py
import gc
found_objects = gc.get_objects()
print('이전:', len(found_objects))
import waste_memory
hold_reference = waste_memory.run()
found_objects = gc.get_objects()
print('이후: ', len(found_objects))
for obj in found_objects[:3]:
print(repr(obj)[:100])
def debug_mem(self):
self.logger.info("self.proxy.recorded_url_q.qsize()=%s",
self.proxy.recorded_url_q.qsize())
with open("/proc/self/status") as f:
for line in f:
fields = line.split()
if len(fields) >= 2:
k, v = fields[0:2]
if k == "VmHWM:":
hwm = int(v)
elif k == "VmRSS:":
rss = int(v)
elif k == "VmData:":
data = int(v)
elif k == "VmStk:":
stk = int(v)
self.logger.info("rss=%s data=%s stack=%s hwm=%s", rss, data, stk, hwm)
self._last_rss = self._last_rss or rss # to set initial value
if rss - self._last_rss > 1024:
num_unreachable = gc.collect()
all_objects = gc.get_objects()
total_size = 0
summary = {}
biggest_objects = [None] * 10
for obj in all_objects:
size = sys.getsizeof(obj)
total_size += size
if not type(obj) in summary:
summary[type(obj)] = {"count": 0, "size": 0}
summary[type(obj)]["count"] += 1
summary[type(obj)]["size"] += size
if size > sys.getsizeof(biggest_objects[-1]):
for i in range(len(biggest_objects)):
if size > sys.getsizeof(biggest_objects[i]):
index = i
break
biggest_objects[index + 1:] = biggest_objects[index:-1]
biggest_objects[index] = obj
self.logger.info("%s objects totaling %s bytes", len(all_objects),
total_size)
self.logger.info("=== biggest types ===")
for item in sorted(summary.items(),
key=lambda item: item[1]["size"],
reverse=True)[:10]:
self.logger.info("%s bytes in %s instances of %s",
item[1]["size"], item[1]["count"], item[0])
self.logger.info("=== warcprox types ===")
for t in (t for t in summary if str(t).find("warcprox") >= 0):
self.logger.info("%s bytes in %s instances of %s",
summary[t]["size"], summary[t]["count"], t)
for i in range(len(biggest_objects)):
obj = biggest_objects[i]
try:
value = repr(bytes(obj.getbuffer()[:100]))
except:
try:
value = repr(obj)[:100]
except BaseException as e:
value = "<{} getting value>".format(e)
self.logger.info("#%s (%s) (%s bytes) (%s refs) (id=%s): %s",
i + 1, type(obj), sys.getsizeof(obj),
sys.getrefcount(obj), id(obj), value)
self.logger.info("%s unreachable objects totaling %s bytes",
len(gc.garbage),
sum(sys.getsizeof(x) for x in gc.garbage))
self._last_rss = rss
d[c].setParent(d['a'])
for key in d.keys()[:]:
d[key].destroy()
else:
# testing with gui
from direct.directbase import DirectStart
x = DirectTree(treeStructure=d['a'])
x.render()
x.update()
x.treeStructure = d['C']
x.render()
x.update()
x.destroy()
import gc
print len(gc.get_objects())
del d
gc.collect()
gc.collect()
print len(gc.get_objects())
gc.collect()
gc.collect()
print len(gc.get_objects())
for i in xrange(100):
gc.collect()
print len(gc.get_objects())
if __name__ == '__main__' and False:
print "testing tree structure"
from string import ascii_letters
def get_instances(cls):
return [x for x in gc.get_objects() if isinstance(x, cls)]
# 'free' from the Class
s1 = Student("Virginia Balseiro", "yesvirginia [Gold] [Volunteer]", "pasta",
"moving to Europe")
s2 = Student("Deb Cupitt", "deb[Gold]", "chocolate", "gender equity")
s3 = Student("Marta Bodojra", "marta [Gold] [Volunteer]", "dark chocolate",
"become a developer and help all of you to do it together!😉")
# for attr, value in s1.__dict__.items():
# print(attr, value)
# s1.my_iter()
for obj in gc.get_objects():
if isinstance(obj, Student):
obj.my_print()
# s2 = Student("Andreea[Gold]")
# s3 = Student("​CristyTarantino[Gold]")
# dot notation
# print(s1.name)
# s1.my_print()
# s1.fav_food = "ice cream"
# s1.my_print()
def object_by_id(object_id):
for obj in gc.get_objects():
if id(obj) == object_id:
return "Object exists"
return "Not found"
def _find_objects(t):
return filter(lambda o: isinstance(o, t), gc.get_objects())
def count_instances_of(cls):
return sum(isinstance(obj, cls) for obj in gc.get_objects())
def actionStats(self):
import gc
import sys
from Ui import UiRequest
from Crypt import CryptConnection
hpy = None
if self.get.get("size") == "1": # Calc obj size
try:
import guppy
hpy = guppy.hpy()
except:
pass
self.sendHeader()
s = time.time()
main = sys.modules["main"]
# Style
yield """
<style>
* { font-family: monospace }
table td, table th { text-align: right; padding: 0px 10px }
</style>
"""
# Memory
try:
yield "rev%s | " % config.rev
yield "%s | " % config.ip_external
yield "Opened: %s | " % main.file_server.port_opened
yield "Crypt: %s | " % CryptConnection.manager.crypt_supported
yield "In: %.2fMB, Out: %.2fMB | " % (
float(main.file_server.bytes_recv) / 1024 / 1024,
float(main.file_server.bytes_sent) / 1024 / 1024
)
yield "Peerid: %s | " % main.file_server.peer_id
import psutil
process = psutil.Process(os.getpid())
mem = process.get_memory_info()[0] / float(2 ** 20)
yield "Mem: %.2fMB | " % mem
yield "Threads: %s | " % len(process.threads())
yield "CPU: usr %.2fs sys %.2fs | " % process.cpu_times()
yield "Files: %s | " % len(process.open_files())
yield "Sockets: %s | " % len(process.connections())
yield "Calc size <a href='?size=1'>on</a> <a href='?size=0'>off</a>"
except Exception:
pass
yield "<br>"
# Connections
yield "<b>Connections</b> (%s, total made: %s):<br>" % (
len(main.file_server.connections), main.file_server.last_connection_id
)
yield "<table><tr> <th>id</th> <th>proto</th> <th>type</th> <th>ip</th> <th>open</th> <th>crypt</th> <th>ping</th>"
yield "<th>buff</th> <th>idle</th> <th>open</th> <th>delay</th> <th>out</th> <th>in</th> <th>last sent</th>"
yield "<th>waiting</th> <th>version</th> <th>peerid</th> </tr>"
for connection in main.file_server.connections:
if "cipher" in dir(connection.sock):
cipher = connection.sock.cipher()[0]
else:
cipher = connection.crypt
yield self.formatTableRow([
("%3d", connection.id),
("%s", connection.protocol),
("%s", connection.type),
("%s:%s", (connection.ip, connection.port)),
("%s", connection.handshake.get("port_opened")),
("<span title='%s'>%s</span>", (connection.crypt, cipher)),
("%6.3f", connection.last_ping_delay),
("%s", connection.incomplete_buff_recv),
("since", max(connection.last_send_time, connection.last_recv_time)),
("since", connection.start_time),
("%.3f", connection.last_sent_time - connection.last_send_time),
("%.0fkB", connection.bytes_sent / 1024),
("%.0fkB", connection.bytes_recv / 1024),
("%s", connection.last_cmd),
("%s", connection.waiting_requests.keys()),
("%s r%s", (connection.handshake.get("version"), connection.handshake.get("rev", "?"))),
("%s", connection.handshake.get("peer_id")),
])
yield "</table>"
# Sites
yield "<br><br><b>Sites</b>:"
yield "<table>"
yield "<tr><th>address</th> <th>connected</th> <th title='connected/good/total'>peers</th> <th>content.json</th> <th>out</th> <th>in</th> </tr>"
for site in self.server.sites.values():
yield self.formatTableRow([
(
"""<a href='#' onclick='document.getElementById("peers_%s").style.display="initial"; return false'>%s</a>""",
(site.address, site.address)
),
("%s", [peer.connection.id for peer in site.peers.values() if peer.connection and peer.connection.connected]),
("%s/%s/%s", (
len([peer for peer in site.peers.values() if peer.connection and peer.connection.connected]),
len(site.getConnectablePeers(100)),
len(site.peers)
)),
("%s", len(site.content_manager.contents)),
("%.0fkB", site.settings.get("bytes_sent", 0) / 1024),
("%.0fkB", site.settings.get("bytes_recv", 0) / 1024),
])
yield "<tr><td id='peers_%s' style='display: none; white-space: pre'>" % site.address
for key, peer in site.peers.items():
if peer.time_found:
time_found = int(time.time()-peer.time_found)/60
else:
time_found = "--"
if peer.connection:
connection_id = peer.connection.id
else:
connection_id = None
yield "(#%s, err: %s, found: %s min ago) %22s -<br>" % (connection_id, peer.connection_error, time_found, key)
yield "<br></td></tr>"
yield "</table>"
# No more if not in debug mode
if not config.debug:
raise StopIteration
# Object types
obj_count = {}
for obj in gc.get_objects():
obj_type = str(type(obj))
if obj_type not in obj_count:
obj_count[obj_type] = [0, 0]
obj_count[obj_type][0] += 1 # Count
obj_count[obj_type][1] += float(sys.getsizeof(obj)) / 1024 # Size
yield "<br><br><b>Objects in memory (types: %s, total: %s, %.2fkb):</b><br>" % (
len(obj_count),
sum([stat[0] for stat in obj_count.values()]),
sum([stat[1] for stat in obj_count.values()])
)
for obj, stat in sorted(obj_count.items(), key=lambda x: x[1][0], reverse=True): # Sorted by count
yield " - %.1fkb = %s x <a href=\"/Listobj?type=%s\">%s</a><br>" % (stat[1], stat[0], obj, cgi.escape(obj))
# Classes
class_count = {}
for obj in gc.get_objects():
obj_type = str(type(obj))
if obj_type != "<type 'instance'>":
continue
class_name = obj.__class__.__name__
if class_name not in class_count:
class_count[class_name] = [0, 0]
class_count[class_name][0] += 1 # Count
class_count[class_name][1] += float(sys.getsizeof(obj)) / 1024 # Size
yield "<br><br><b>Classes in memory (types: %s, total: %s, %.2fkb):</b><br>" % (
len(class_count),
sum([stat[0] for stat in class_count.values()]),
sum([stat[1] for stat in class_count.values()])
)
for obj, stat in sorted(class_count.items(), key=lambda x: x[1][0], reverse=True): # Sorted by count
yield " - %.1fkb = %s x <a href=\"/Dumpobj?class=%s\">%s</a><br>" % (stat[1], stat[0], obj, cgi.escape(obj))
from greenlet import greenlet
objs = [obj for obj in gc.get_objects() if isinstance(obj, greenlet)]
yield "<br>Greenlets (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj)))
from Worker import Worker
objs = [obj for obj in gc.get_objects() if isinstance(obj, Worker)]
yield "<br>Workers (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj)))
from Connection import Connection
objs = [obj for obj in gc.get_objects() if isinstance(obj, Connection)]
yield "<br>Connections (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj)))
from socket import socket
objs = [obj for obj in gc.get_objects() if isinstance(obj, socket)]
yield "<br>Sockets (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj)))
from msgpack import Unpacker
objs = [obj for obj in gc.get_objects() if isinstance(obj, Unpacker)]
yield "<br>Msgpack unpacker (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj)))
from Site import Site
objs = [obj for obj in gc.get_objects() if isinstance(obj, Site)]
yield "<br>Sites (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj)))
objs = [obj for obj in gc.get_objects() if isinstance(obj, self.server.log.__class__)]
yield "<br>Loggers (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj.name)))
objs = [obj for obj in gc.get_objects() if isinstance(obj, UiRequest)]
yield "<br>UiRequests (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj)))
from Peer import Peer
objs = [obj for obj in gc.get_objects() if isinstance(obj, Peer)]
yield "<br>Peers (%s):<br>" % len(objs)
for obj in objs:
yield " - %.1fkb: %s<br>" % (self.getObjSize(obj, hpy), cgi.escape(repr(obj)))
objs = [(key, val) for key, val in sys.modules.iteritems() if val is not None]
objs.sort()
yield "<br>Modules (%s):<br>" % len(objs)
for module_name, module in objs:
yield " - %.3fkb: %s %s<br>" % (self.getObjSize(module, hpy), module_name, cgi.escape(repr(module)))
gc.collect() # Implicit grabage collection
yield "Done in %.1f" % (time.time() - s)
inner_cv = StratifiedKFold(n_splits=3,
shuffle=True,
random_state=42)
outer_cv = StratifiedKFold(n_splits=10,
shuffle=True,
random_state=42)
# Inner CV.
gsPipeline = GridSearchCV(pipeline,
param_grid,
cv=inner_cv,
scoring='f1_macro',
n_jobs=-1)
# Delete object from previous iteration
gc.collect()
len(gc.get_objects())
# Outer CV. gs_lr.fit() gets called in cross_validate.
cross_validate(gsPipeline,
X=Corpus[preprocessing.COMMENT],
y=Corpus[preprocessing.CLASS],
scoring=utilities.scoringFunction,
cv=outer_cv)
utilities.printAverageValuesOfClassificationReportList(
output, parameters, functionalOnlyFlag)
output.flush()
print(cnt)
cnt = cnt + 1
time_pre = time.time()
proof = SWProofOfRetrievability.genproof(pk, data, authenticators,
challenge, filehandle)
time_post = time.time()
duration = time_post - time_pre
timings['genproof'][i].append(duration)
time_pre = time.time()
SWProofOfRetrievability.verify(proof, pk, challenge, filehandle)
time_post = time.time()
duration = time_post - time_pre
timings['verify'][i].append(duration)
print("Size of timing object is " + str(asizeof.asizeof(timings)) +
" Bytes")
print("Number of gc-tracked objects: " + str(len(gc.get_objects())))
# Save the data in complicated JSON-format
with open('timings_SWPoR.json', 'w') as f:
json_obj = jsonpickle.encode(timings)
f.write(json_obj)
print("Running postprocessing steps")
# Transform to handy Dataframes
for algo in ['keygen', 'encode', 'genchallenge', 'genproof', 'verify']:
timings[algo] = pd.DataFrame(timings[algo]).T
timings[algo].columns = messagesizes
for algo in ['keygen', 'encode', 'genchallenge', 'genproof', 'verify']:
# Save the data in handy .csv
def getVariable(dbg, thread_id, frame_id, scope, attrs):
"""
returns the value of a variable
:scope: can be BY_ID, EXPRESSION, GLOBAL, LOCAL, FRAME
BY_ID means we'll traverse the list of all objects alive to get the object.
:attrs: after reaching the proper scope, we have to get the attributes until we find
the proper location (i.e.: obj\tattr1\tattr2)
:note: when BY_ID is used, the frame_id is considered the id of the object to find and
not the frame (as we don't care about the frame in this case).
"""
if scope == 'BY_ID':
if thread_id != get_current_thread_id(threading.currentThread()):
raise VariableError("getVariable: must execute on same thread")
try:
import gc
objects = gc.get_objects()
except:
pass # Not all python variants have it.
else:
frame_id = int(frame_id)
for var in objects:
if id(var) == frame_id:
if attrs is not None:
attrList = attrs.split('\t')
for k in attrList:
_type, _type_name, resolver = get_type(var)
var = resolver.resolve(var, k)
return var
# If it didn't return previously, we coudn't find it by id (i.e.: alrceady garbage collected).
sys.stderr.write('Unable to find object with id: %s\n' % (frame_id, ))
return None
frame = dbg.find_frame(thread_id, frame_id)
if frame is None:
return {}
if attrs is not None:
attrList = attrs.split('\t')
else:
attrList = []
for attr in attrList:
attr.replace("@_@TAB_CHAR@_@", '\t')
if scope == 'EXPRESSION':
for count in xrange(len(attrList)):
if count == 0:
# An Expression can be in any scope (globals/locals), therefore it needs to evaluated as an expression
var = evaluate_expression(dbg, frame, attrList[count], False)
else:
_type, _type_name, resolver = get_type(var)
var = resolver.resolve(var, attrList[count])
else:
if scope == "GLOBAL":
var = frame.f_globals
del attrList[
0] # globals are special, and they get a single dummy unused attribute
else:
# in a frame access both locals and globals as Python does
var = {}
var.update(frame.f_globals)
var.update(frame.f_locals)
for k in attrList:
_type, _type_name, resolver = get_type(var)
var = resolver.resolve(var, k)
return var
def memReport():
for obj in gc.get_objects():
if torch.is_tensor(obj) or (hasattr(obj, 'data')
and torch.is_tensor(obj.data)):
print(type(obj), obj.size())
def mem_report(print_all: bool = False) -> None:
"""
Report the memory usage of the tensor.storage in pytorch
Both on CPUs and GPUs are reported
if print_all is True, print size and shape info for each tensor
"""
def _mem_report(tensors: Iterable, mem_type: str) -> None:
"""Print the selected tensors of type
There are two major storage types in our major concern:
- GPU: tensors transferred to CUDA devices
- CPU: tensors remaining on the system memory (usually unimportant)
Args:
- tensors: the tensors of specified type
- mem_type: 'CPU' or 'GPU' in current implementation """
print(f"Storage on {mem_type}")
print("-" * LEN)
total_numel = 0
total_mem = 0
visited_data: List[Any] = []
for tensor in tensors:
if tensor.is_sparse:
continue
# a data_ptr indicates a memory block allocated
data_ptr = tensor.storage().data_ptr()
if data_ptr in visited_data:
continue
visited_data.append(data_ptr)
numel = tensor.storage().size()
total_numel += numel
element_size = tensor.storage().element_size()
mem = numel * element_size / 1024 / 1024 # 32bit=4Byte, MByte
total_mem += mem
element_type = type(tensor).__name__
size = tuple(tensor.size())
if print_all:
print(f"{element_type}\t\t{size}\t\t{mem}")
print("-" * LEN)
print(f"Total Tensors: {total_numel} \tUsed Memory Space: {total_mem}")
print("-" * LEN)
LEN = 65
if print_all:
print("=" * LEN)
print("Element type\tSize\t\t\tUsed MEM(MBytes)")
tensors = []
for obj in gc.get_objects():
try:
if t.is_tensor(obj) or (hasattr(obj, "data")
and t.is_tensor(obj.data)):
tensors.append(obj)
except Exception:
pass
cuda_tensors = [tensor for tensor in tensors if tensor.is_cuda]
host_tensors = [tensor for tensor in tensors if not tensor.is_cuda]
_mem_report(cuda_tensors, "GPU")
_mem_report(host_tensors, "CPU")
if print_all:
print("=" * LEN)
def debug_memory():
import collections, gc, torch
tensors = collections.Counter((str(o.device), o.dtype, tuple(o.shape))
for o in gc.get_objects()
if torch.is_tensor(o))
def _get_in_memory_objects():
"""Returns all objects in memory."""
gc.collect()
return gc.get_objects()
import gc
print(len(gc.get_objects()))
import torch
print(len(gc.get_objects()))
g = gc.get_objects()
print(type(g))
for i in g:
print(i)
def autoprocess(parallel=1,
failed_processing=False,
maxtasksperchild=7,
memory_debugging=False,
processing_timeout=300):
maxcount = cfg.cuckoo.max_analysis_count
count = 0
db = Database()
# pool = multiprocessing.Pool(parallel, init_worker)
pool = pebble.ProcessPool(max_workers=parallel,
max_tasks=maxtasksperchild,
initializer=init_worker)
try:
memory_limit()
log.info("Processing analysis data")
# CAUTION - big ugly loop ahead.
while count < maxcount or not maxcount:
# If still full, don't add more (necessary despite pool).
if len(pending_task_id_map) >= parallel:
time.sleep(5)
continue
if failed_processing:
tasks = db.list_tasks(status=TASK_FAILED_PROCESSING,
limit=parallel,
order_by=Task.completed_on.asc())
else:
tasks = db.list_tasks(status=TASK_COMPLETED,
limit=parallel,
order_by=Task.completed_on.asc())
added = False
# For loop to add only one, nice. (reason is that we shouldn't overshoot maxcount)
for task in tasks:
# Not-so-efficient lock.
if pending_task_id_map.get(task.id):
continue
log.info("Processing analysis data for Task #%d", task.id)
if task.category == "file":
sample = db.view_sample(task.sample_id)
copy_path = os.path.join(CUCKOO_ROOT, "storage",
"binaries", sample.sha256)
else:
copy_path = None
args = task.target, copy_path
kwargs = dict(report=True,
auto=True,
task=task,
memory_debugging=memory_debugging)
if memory_debugging:
gc.collect()
log.info("[%d] (before) GC object counts: %d, %d", task.id,
len(gc.get_objects()), len(gc.garbage))
# result = pool.apply_async(process, args, kwargs)
future = pool.schedule(process,
args,
kwargs,
timeout=processing_timeout)
pending_future_map[future] = task.id
pending_task_id_map[task.id] = future
future.add_done_callback(processing_finished)
if memory_debugging:
gc.collect()
log.info("[%d] (after) GC object counts: %d, %d", task.id,
len(gc.get_objects()), len(gc.garbage))
count += 1
added = True
break
if not added:
# don't hog cpu
time.sleep(5)
except KeyboardInterrupt:
# ToDo verify in finally
# pool.terminate()
raise
except MemoryError:
mem = get_memory() / 1024 / 1024
print('Remain: %.2f GB' % mem)
sys.stderr.write('\n\nERROR: Memory Exception\n')
sys.exit(1)
except Exception as e:
import traceback
traceback.print_exc()
finally:
pool.close()
pool.join()
def checkCleanExit():
# Get the Gaffer and GafferUI modules, but only if the app actually
# imported them. We don't want to force their importation because it's
# just a waste of time if they weren't used.
Gaffer = sys.modules.get("Gaffer")
GafferUI = sys.modules.get("GafferUI")
if Gaffer is None and GafferUI is None:
return
# Clean up any garbage left behind by Cortex's wrapper mechanism - because
# the Gaffer.Application itself is derived from IECore.Parameterised, which
# as far as I can tell is wrapped unnecessarily, we must call this to allow
# the application to be deleted at all. Note that we're deliberately not also
# calling gc.collect() - our intention here isn't to clean up on shutdown, but
# to highlight problems caused by things not cleaning up after themselves during
# execution. We aim to eliminate all circular references from our code, to avoid
# garbage collection overhead and to avoid problems caused by referencing Qt widgets
# which were long since destroyed in C++.
## \todo Reevaluate the need for this call after Cortex 9 development.
IECore.RefCounted.collectGarbage()
# Importing here rather than at the top of the file prevents false
# positives being reported in gc.get_objects() below. I have no idea why,
# but if not imported here, get_objects() will report objects which have
# nothing referring to them and which should be dead, even with an
# explicit call to gc.collect() beforehand.
import gc
# Check for things that shouldn't exist at shutdown, and
# warn of anything we find.
scriptNodes = []
widgets = []
for o in gc.get_objects():
if Gaffer is not None and isinstance(o, Gaffer.ScriptNode):
scriptNodes.append(o)
elif GafferUI is not None and isinstance(o, GafferUI.Widget):
widgets.append(o)
if scriptNodes:
IECore.msg(
IECore.Msg.Level.Debug, "Gaffer shutdown",
"%d remaining ScriptNode%s detected. Debugging with objgraph is recommended."
% (
len(scriptNodes),
"s" if len(scriptNodes) > 1 else "",
))
if widgets:
count = {}
for widget in widgets:
widgetType = widget.__class__.__name__
count[widgetType] = count.get(widgetType, 0) + 1
summaries = ["%s (%d)" % (k, count[k]) for k in sorted(count.keys())]
IECore.msg(
IECore.Msg.Level.Debug, "Gaffer shutdown",
"%d remaining Widget%s detected : \n\n%s\n\nDebugging with objgraph is recommended."
% (len(widgets), "s" if len(widgets) > 1 else "",
"\t" + "\n\t".join(summaries)))
def close_open_files():
everything = gc.get_objects()
for obj in everything:
if isinstance(obj, io.IOBase):
obj.close()
def process(target=None,
copy_path=None,
task=None,
report=False,
auto=False,
capeproc=False,
memory_debugging=False):
# This is the results container. It's what will be used by all the
# reporting modules to make it consumable by humans and machines.
# It will contain all the results generated by every processing
# module available. Its structure can be observed through the JSON
# dump in the analysis' reports folder. (If jsondump is enabled.)
task_dict = task.to_dict() or {}
task_id = task_dict.get("id") or 0
results = {
"statistics": {
"processing": [],
"signatures": [],
"reporting": []
}
}
if memory_debugging:
gc.collect()
log.info("[%s] (1) GC object counts: %d, %d", task_id,
len(gc.get_objects()), len(gc.garbage))
if memory_debugging:
gc.collect()
log.info("[%s] (2) GC object counts: %d, %d", task_id,
len(gc.get_objects()), len(gc.garbage))
RunProcessing(task=task_dict, results=results).run()
if memory_debugging:
gc.collect()
log.info("[%s] (3) GC object counts: %d, %d", task_id,
len(gc.get_objects()), len(gc.garbage))
RunSignatures(task=task_dict, results=results).run()
if memory_debugging:
gc.collect()
log.info("[%s] (4) GC object counts: %d, %d", task_id,
len(gc.get_objects()), len(gc.garbage))
if report:
if repconf.mongodb.enabled:
host = repconf.mongodb.host
port = repconf.mongodb.port
db = repconf.mongodb.db
conn = MongoClient(host,
port=port,
username=repconf.mongodb.get("username", None),
password=repconf.mongodb.get("password", None),
authSource=db)
mdata = conn[db]
analyses = mdata.analysis.find({"info.id": int(task_id)})
if analyses.count() > 0:
log.debug("Deleting analysis data for Task %s" % task_id)
for analysis in analyses:
for process in analysis["behavior"].get("processes", []):
for call in process["calls"]:
mdata.calls.remove({"_id": ObjectId(call)})
mdata.analysis.remove({"_id": ObjectId(analysis["_id"])})
conn.close()
log.debug("Deleted previous MongoDB data for Task %s" % task_id)
if repconf.elasticsearchdb.enabled and not repconf.elasticsearchdb.searchonly:
analyses = es.search(index=fullidx,
doc_type="analysis",
q='info.id: "%s"' % task_id)["hits"]["hits"]
if analyses:
for analysis in analyses:
esidx = analysis["_index"]
esid = analysis["_id"]
# Check if behavior exists
if analysis["_source"]["behavior"]:
for process in analysis["_source"]["behavior"][
"processes"]:
for call in process["calls"]:
es.delete(
index=esidx,
doc_type="calls",
id=call,
)
# Delete the analysis results
es.delete(
index=esidx,
doc_type="analysis",
id=esid,
)
if auto or capeproc:
reprocess = False
else:
reprocess = report
RunReporting(task=task.to_dict(), results=results,
reprocess=reprocess).run()
Database().set_status(task_id, TASK_REPORTED)
if auto:
if cfg.cuckoo.delete_original and os.path.exists(target):
os.unlink(target)
if cfg.cuckoo.delete_bin_copy and os.path.exists(copy_path):
os.unlink(copy_path)
if memory_debugging:
gc.collect()
log.info("[%s] (5) GC object counts: %d, %d", task_id,
len(gc.get_objects()), len(gc.garbage))
for i, obj in enumerate(gc.garbage):
log.info("[%s] (garbage) GC object #%d: type=%s", task_id, i,
type(obj).__name__)
