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<H2>
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10.8.1 OldProfile Class
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<P>
The following derived profiler simulates the old style profiler,
providing errant results on recursive functions. The reason for the
usefulness of this profiler is that it runs faster (i.e., less
overhead) than the old profiler. It still creates all the caller
stats, and is quite useful when there is <i>no</i> recursion in the
user's code. It is also a lot more accurate than the old profiler, as
it does not charge all its overhead time to the user's code.
<P>
<dl><dd><pre class="verbatim">
class OldProfile(Profile):
def trace_dispatch_exception(self, frame, t):
rt, rtt, rct, rfn, rframe, rcur = self.cur
if rcur and not rframe is frame:
return self.trace_dispatch_return(rframe, t)
return 0
def trace_dispatch_call(self, frame, t):
fn = `frame.f_code`
self.cur = (t, 0, 0, fn, frame, self.cur)
if self.timings.has_key(fn):
tt, ct, callers = self.timings[fn]
self.timings[fn] = tt, ct, callers
else:
self.timings[fn] = 0, 0, {}
return 1
def trace_dispatch_return(self, frame, t):
rt, rtt, rct, rfn, frame, rcur = self.cur
rtt = rtt + t
sft = rtt + rct
pt, ptt, pct, pfn, pframe, pcur = rcur
self.cur = pt, ptt+rt, pct+sft, pfn, pframe, pcur
tt, ct, callers = self.timings[rfn]
if callers.has_key(pfn):
callers[pfn] = callers[pfn] + 1
else:
callers[pfn] = 1
self.timings[rfn] = tt+rtt, ct + sft, callers
return 1
def snapshot_stats(self):
self.stats = {}
for func in self.timings.keys():
tt, ct, callers = self.timings[func]
nor_func = self.func_normalize(func)
nor_callers = {}
nc = 0
for func_caller in callers.keys():
nor_callers[self.func_normalize(func_caller)] = \
callers[func_caller]
nc = nc + callers[func_caller]
self.stats[nor_func] = nc, nc, tt, ct, nor_callers
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