[SciPy-User] line_profiler and for-loops !?
Tue Mar 16 03:40:14 CDT 2010
I was starting to use Robert's line_profiler. I seems to work great,
and I already found one easy way do half my execution time.
But now it claims that 33% of the time is spent (directly) in the
"for"-line and another 36% in a very simple "if"-line. See parts of
the output here:
Function: doTracing at line 1135
Total time: 23.9171 s
Line # Hits Time Per Hit % Time Line Contents
1185 # iterate
over all tracks, and find close points
1186 3853362 8024186 2.1 33.5 for
tracki,track in enumerate(self.tracks):
1187 3853063 8639273 2.2 36.1 if
self.tracks_tLast[tracki] == t-1:
# track went on until t-1 (so far)
# -- otherwise, skip "old" tracks
1190 62150 130277 2.1 0.5
pi_t_1 = track[-1] # index in last time section
(The object of the function is to connect closest points found in an
image sequence into tracks connecting the points by shortest steps.)
Anyhow, my question is, is this just an artifact of line_profiler, or
is the fact that those two lines are hit almost 4e6 times really
resulting in more than 50% of the time being spent here !?
(Calculating the actual Euclidean distance matrix over all point pairs
takes supposedly only 15% of the time, for comparison).
I tried to separate out the "enumerate(self.tracks)" into a separate
line before the "for"-line, but the time spent was still unchanged on
Does this mean "python is slow" here - and I should try cython (which
i have never done so far ...) ?
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