Understand profme Module#
Author: Zakariya Abugrin | Date: May 2025
Introduction#
This tutorial shows how to use profme from utils module.
Import reservoirflow#
We start with importing reservoirflow as rf. The abbreviation rf refers to reservoirflow where all modules under this library can be accessed. rf is also used throughout the API documentation. We recommend our users to stick with this convention.
1import reservoirflow as rf
2
3print(rf.__version__)
0.1.0b3
1@rf.utils.profme.timeit
2def sum_numbers(n):
3 sum = 0
4 for a in range(n):
5 sum += a
6 return sum
7
8sum_numbers(100000)
func:'sum_numbers' took: 0.0036 sec
4999950000
1@rf.utils.profme.lProfiler(print_output=True, save_output=False)
2def sum_numbers(n):
3 sum = 0
4 for a in range(n):
5 sum += a
6 return sum
7
8sum_numbers(100000)
Timer unit: 1e-09 s
Total time: 0.0255886 s
File: /tmp/ipykernel_3129/545659262.py
Function: sum_numbers at line 1
Line # Hits Time Per Hit % Time Line Contents
==============================================================
1 @rf.utils.profme.lProfiler(print_output=True, save_output=False)
2 def sum_numbers(n):
3 1 691.0 691.0 0.0 sum = 0
4 100001 11905079.0 119.0 46.5 for a in range(n):
5 100000 13682587.0 136.8 53.5 sum += a
6 1 240.0 240.0 0.0 return sum
4999950000
1@rf.utils.profme.cProfiler()
2def sum_numbers(n):
3 sum = 0
4 for a in range(n):
5 sum = add(sum,a)
6 return sum
7def add(sum, a):
8 return sum+a
9
10
11sum_numbers(100000)
ncalls tottime percall cumtime percall.1 \
0 1 0.018 0.018 0.026 0.026
1 100000 0.008 0.000 0.008 0.000
2 1 0.000 0.000 0.000 0.000
filename:lineno(function)
0 /tmp/ipykernel_3129/568536641.py:1(sum_numbers)
1 /tmp/ipykernel_3129/568536641.py:7(add)
2 {method 'disable' of '_lsprof.Profiler' objects}
4999950000
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