> ncalls tottime percall cumtime percall filename:lineno(function)
> 1 149.479 149.479 199.851 199.851 skymaps5.py:16(mymain)
> 18101000 28.682 0.000 28.682 0.000 {method 'write' of 'file'
objects}
>
> 33044 5.470 0.000 6.444 0.000
interpolate.py:394(_call_linear)
> 230000 2.272 0.000 21.279 0.000 instruments.py:10(kappa)
> 231328 2.120 0.000 2.120 0.000
{numpy.core.multiarray.array}
> 33044 1.719 0.000 3.836 0.000
interpolate.py:454(_check_bounds)
> 66088 1.611 0.000 1.611 0.000 {method 'reduce' of
'numpy.ufunc'
> objects}
> 33044 1.146 0.000 11.623 0.000
interpolate.py:443(_evaluate)
> 33044 1.120 0.000 5.542 0.000 interpolate.py:330(__init__)
> 33044 0.659 0.000 2.329 0.000 polyint.py:82(_set_yi)
>
> the major time is required by mymain that is the whole program.
Good! Profiles like this allow us to pinpoint issues.
Wait... ?!
The profiler is saying that the majority of time is in my main, but _not_
in auxiliary functions. That's surprising. Am I misreading the profile?
Can you show what mymain is doing?
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