A module for monitoring memory usage of a python program
Project description
Timem
A simple decorator to profile memory usage and time taken by python functions
Install
pip install timem
Usage
In example.py:
from timem import profile
@profile
def isPal(s):
return s == s[::-1]
print(isPal("UwU"))
Output:
"isPal" took 10.012 ms to execute
Filename: example.py
Line # Mem usage Increment Occurences Line Contents
============================================================
11 20.4 MiB 20.4 MiB 1 @profile
12 def isPal(s):
13 20.4 MiB 0.0 MiB 1 return s == s[::-1]
True
Some configurations
1. Only profile time
from timem import profile
@profile(memory=False)
def isPalindromeWithDelay(s):
import time
time.sleep(3)
return s == s[::-1]
print(isPalindromeWithDelay("UwU"))
Output:
"isPal" took 10.028 ms to execute
True
2. Only profile memory
from timem import profile
@profile(memory=False)
def isPalindrome(s):
return s == s[::-1]
print(isPalindrome("sdasdf"))
Output
Filename: example.py
Line # Mem usage Increment Occurences Line Contents
============================================================
11 20.6 MiB 20.6 MiB 1 @profile(timer=False)
12 def isPal(s):
13 20.6 MiB 0.0 MiB 1 return s == s[::-1]
True
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