import cProfile
import time
import pstats
class A:
def foo(self):
time.sleep(1)
class B:
def foo(self):
time.sleep(2)
pr = cProfile.Profile()
pr.enable()
A().foo()
B().foo()
pr.create_stats()
ps = pstats.Stats(pr).sort_stats("cumtime")
ps.print_stats(5)
when I ran this in a jupyter notebook, this outputted:
61 function calls in 3.003 seconds
Ordered by: cumulative time
List reduced from 21 to 5 due to restriction <5>
ncalls tottime percall cumtime percall filename:lineno(function)
3 0.000 0.000 3.003 1.001 /usr/local/my_venv/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3424(run_code)
3 0.000 0.000 3.002 1.001 {built-in method builtins.exec}
2 3.002 1.501 3.002 1.501 {built-in method time.sleep}
1 0.000 0.000 2.002 2.002 /usr/tmp/ipykernel_104016/1099215389.py:12(foo)
1 0.000 0.000 1.000 1.000 /usr/tmp/ipykernel_104016/1099215389.py:7(foo)
which correctly shows two different versions of a function called foo. However, due to the API design of get_stats_profile, only one of the functions will be stored in the dict FunctionProfile.func_profiles, the one which is last in the insertion order, which in this case since I sorted by cumtime will be A.foo:
Bug report
Bug description:
MCVE
when I ran this in a jupyter notebook, this outputted:
which correctly shows two different versions of a function called foo. However, due to the API design of
get_stats_profile
, only one of the functions will be stored in the dictFunctionProfile.func_profiles
, the one which is last in the insertion order, which in this case since I sorted bycumtime
will be A.foo:outputs:
Maybe
get_stats_profile
should key thefunc_profile
dictionary on something that's actually unique per profile entry, likefilename:lineno(function)
?CPython versions tested on:
3.10
Operating systems tested on:
Linux