Loop node performance
Created by: Durman
loop node stats
Ordered by: internal time
ncalls tottime percall cumtime percall filename:lineno(function)
19574 0.389 0.000 0.389 0.000 {built-in method nt.stat}
6878 0.036 0.000 0.076 0.000 ntpath.py:450(normpath)
6348 0.035 0.000 0.501 0.000 inspect.py:760(findsource)
13226 0.033 0.000 0.401 0.000 inspect.py:680(getsourcefile)
6348 0.025 0.000 0.739 0.000 inspect.py:1444(getframeinfo)
13226 0.021 0.000 0.048 0.000 inspect.py:642(getfile)
186611 0.019 0.000 0.019 0.000 {built-in method builtins.isinstance}
6878 0.014 0.000 0.017 0.000 ntpath.py:122(splitdrive)
26760 0.013 0.000 0.036 0.000 {built-in method builtins.any}
6878 0.013 0.000 0.146 0.000 inspect.py:714(getmodule)
6348 0.011 0.000 0.127 0.000 linecache.py:53(checkcache) Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
3/1 0.000 0.000 0.891 0.891 update_system.py:361(do_update_general)
1 0.000 0.000 0.865 0.865 loop_out.py:149(process)
1 0.001 0.001 0.865 0.865 loop_out.py:168(for_each_mode)
530 0.002 0.000 0.797 0.002 logging.py:155(wrapper)
530 0.000 0.000 0.758 0.001 inspect.py:1511(stack)
530 0.009 0.000 0.757 0.001 inspect.py:1483(getouterframes)
6348 0.025 0.000 0.745 0.000 inspect.py:1444(getframeinfo)
715 0.001 0.000 0.602 0.001 sockets.py:398(sv_set)
715 0.004 0.000 0.600 0.001 socket_data.py:84(SvSetSocket)
6348 0.035 0.000 0.507 0.000 inspect.py:760(findsource)
101 0.002 0.000 0.411 0.004 box_mk2.py:369(process)
99 0.001 0.000 0.403 0.004 loop_out.py:27(process_looped_nodes)
13226 0.033 0.000 0.401 0.000 inspect.py:680(getsourcefile)
19574 0.391 0.000 0.391 0.000 {built-in method nt.stat}
13226 0.009 0.000 0.284 0.000 genericpath.py:16(exists)without loops stats
Ordered by: internal time
ncalls tottime percall cumtime percall filename:lineno(function)
100 0.035 0.000 0.038 0.000 stride_tricks.py:206(broadcast_arrays)
100 0.006 0.000 0.067 0.001 box_mk2.py:67(make_verts)
187 0.004 0.000 0.004 0.000 {built-in method nt.stat}
300 0.004 0.000 0.010 0.000 function_base.py:37(linspace)
3001/2001 0.003 0.000 0.059 0.000 {built-in method numpy.core._multiarray_umath.implement_array_function}
100 0.002 0.000 0.002 0.000 {built-in method numpy.core._multiarray_umath.c_einsum}
501 0.002 0.000 0.002 0.000 {method 'reduce' of 'numpy.ufunc' objects}
1901 0.002 0.000 0.002 0.000 {built-in method numpy.array}Interesting what purpose of using inspect module in loop node? This looks as cause of the problems.