def run(self):
self.acquire()
if not self._aggregate:
self._reset()
if 'globalProfileSessionFunc' in __builtin__.__dict__:
self.notify.warning('could not profile %s' % self._func)
result = self._func()
if self._duration is None:
self._duration = 0.0
else:
__builtin__.globalProfileSessionFunc = self._func
__builtin__.globalProfileSessionResult = [
None]
self._filenames.append(self._getNextFilename())
filename = self._filenames[-1]
_installProfileCustomFuncs(filename)
Profile = profile.Profile
statement = 'globalProfileSessionResult[0]=globalProfileSessionFunc()'
sort = -1
retVal = None
prof = Profile()
try:
prof = prof.run(statement)
except SystemExit:
pass
prof.dump_stats(filename)
del prof.dispatcher
profData = _getProfileResultFileInfo(filename)
self._filename2ramFile[filename] = profData
maxTime = 0.0
for (cc, nc, tt, ct, callers) in profData[1].itervalues():
if ct > maxTime:
maxTime = ct
continue
self._duration = maxTime
_removeProfileCustomFuncs(filename)
result = globalProfileSessionResult[0]
del __builtin__.__dict__['globalProfileSessionFunc']
del __builtin__.__dict__['globalProfileSessionResult']
self._successfulProfiles += 1
if self._logAfterProfile:
self.notify.info(self.getResults())
self.release()
return result
def _discardRamFile(self, filename):
# take down the RAM file
_removeProfileCustomFuncs(filename)
# and discard it
del self._filename2ramFile[filename]
def run(self):
# make sure this instance doesn't get destroyed inside self._func
self.acquire()
if not self._aggregate:
self._reset()
# if we're already profiling, just run the func and don't profile
if 'globalProfileSessionFunc' in __builtin__.__dict__:
self.notify.warning('could not profile %s' % self._func)
result = self._func()
if self._duration is None:
self._duration = 0.
else:
# put the function in the global namespace so that profile can find it
assert hasattr(self._func, '__call__')
__builtin__.globalProfileSessionFunc = self._func
__builtin__.globalProfileSessionResult = [None]
# set up the RAM file
self._filenames.append(self._getNextFilename())
filename = self._filenames[-1]
_installProfileCustomFuncs(filename)
# do the profiling
Profile = profile.Profile
statement = 'globalProfileSessionResult[0]=globalProfileSessionFunc()'
sort = -1
retVal = None
# this is based on profile.run, the code is replicated here to allow us to
# eliminate a memory leak
prof = Profile()
try:
prof = prof.run(statement)
except SystemExit:
pass
# this has to be run immediately after profiling for the timings to be accurate
# tell the Profile object to generate output to the RAM file
prof.dump_stats(filename)
# eliminate the memory leak
del prof.dispatcher
# store the RAM file for later
profData = _getProfileResultFileInfo(filename)
self._filename2ramFile[filename] = profData
# calculate the duration (this is dependent on the internal Python profile data format.
# see profile.py and pstats.py, this was copied from pstats.Stats.strip_dirs)
maxTime = 0.
for cc, nc, tt, ct, callers in profData[1].itervalues():
if ct > maxTime:
maxTime = ct
self._duration = maxTime
# clean up the RAM file support
_removeProfileCustomFuncs(filename)
# clean up the globals
result = globalProfileSessionResult[0]
del __builtin__.__dict__['globalProfileSessionFunc']
del __builtin__.__dict__['globalProfileSessionResult']
self._successfulProfiles += 1
if self._logAfterProfile:
self.notify.info(self.getResults())
self.release()
return result
def _discardRamFile(self, filename):
# take down the RAM file
_removeProfileCustomFuncs(filename)
# and discard it
del self._filename2ramFile[filename]
def run(self):
# make sure this instance doesn't get destroyed inside self._func
self.acquire()
if not self._aggregate:
self._reset()
# if we're already profiling, just run the func and don't profile
if 'globalProfileSessionFunc' in __builtin__.__dict__:
self.notify.warning('could not profile %s' % self._func)
result = self._func()
if self._duration is None:
self._duration = 0.
else:
# put the function in the global namespace so that profile can find it
assert hasattr(self._func, '__call__')
__builtin__.globalProfileSessionFunc = self._func
__builtin__.globalProfileSessionResult = [None]
# set up the RAM file
self._filenames.append(self._getNextFilename())
filename = self._filenames[-1]
_installProfileCustomFuncs(filename)
# do the profiling
Profile = profile.Profile
statement = 'globalProfileSessionResult[0]=globalProfileSessionFunc()'
sort = -1
retVal = None
# this is based on profile.run, the code is replicated here to allow us to
# eliminate a memory leak
prof = Profile()
try:
prof = prof.run(statement)
except SystemExit:
pass
# this has to be run immediately after profiling for the timings to be accurate
# tell the Profile object to generate output to the RAM file
prof.dump_stats(filename)
# eliminate the memory leak
del prof.dispatcher
# store the RAM file for later
profData = _getProfileResultFileInfo(filename)
self._filename2ramFile[filename] = profData
# calculate the duration (this is dependent on the internal Python profile data format.
# see profile.py and pstats.py, this was copied from pstats.Stats.strip_dirs)
maxTime = 0.
for cc, nc, tt, ct, callers in profData[1].itervalues():
if ct > maxTime:
maxTime = ct
self._duration = maxTime
# clean up the RAM file support
_removeProfileCustomFuncs(filename)
# clean up the globals
result = globalProfileSessionResult[0]
del __builtin__.__dict__['globalProfileSessionFunc']
del __builtin__.__dict__['globalProfileSessionResult']
self._successfulProfiles += 1
if self._logAfterProfile:
self.notify.info(self.getResults())
self.release()
return result
def _discardRamFile(self, filename):
_removeProfileCustomFuncs(filename)
del self._filename2ramFile[filename]