A decorator to profile function performance.
Simply add the @timed decorator to any function or class method for which to measure runtime.
Call timed.results() to neatly print detailed timing information to the console including:
- number of function calls
- total runtime of each function
- average runtime of each function
- total runtime of the program
- total runtime of each function as a percentage of the total runtime of the program
from ftime import timed
@timed
def f():
[i*j for i in range(1000) for j in range(1000)]
@timed
def g():
f()
[i**i for i in range(1000)]
f()
g()
# print the profiler results to the screen
timed.results()output:
---------------------------------------------
| Runtime Profile |
|---------------------------------------------|
| name | total time | time/call | % |
|---------------------------------------------|
| f (x2) | 3.593e-01s | 1.796e-01s | 87.0% |
| g (x1) | 1.882e-01s | | 45.6% |
|---------------------------------------------|
| program | 4.128e-01s | |
---------------------------------------------
Note: in this example f() is called from within g() so the percentages may add to over 100% because both functions were running at the same time (the runtime of f() was part of the runtime for g()). The percentage represents total runtime of the function as a fraction of the total program runtime.
Install with pip install ftime