Python Time, Memory & Logging Decorators

About

A small Python project implementing three decorators for measuring execution time, tracking memory usage, and logging function calls.

Decorators

1. Time Decorator

Measures how long a function takes to execute using time.perf_counter().

2. Memory Decorator

Tracks current and peak Python memory allocations fora method execution using tracemalloc.

3. Log Decorator

Logs information about function calls...

Example

Import the decorators and apply them to a function:

from time_decorator import measure_time
from memory_decorator import measure_memory
from log_decorator import log

@log
@measure_time
@measure_memory
def big_list():
    return [x for x in range(1_000_000)]

big_list()

The decorators can be combined to measure different aspects of a function's execution.

Results

python test.py
Current memory: 3.12 KB Peak memory: 1964780.38 KB big_list took 42.94 seconds to be executed

Recomendation

It is recommended to add in your IDE the path to the project so it recognizes the library. In VScode for example you have to add the following code to the settings.json file of your vscode:

    "python.analysis.extraPaths":[
        "D:/REPLACE_WITH_PATH.../time-memory-decorators-python"
    ],

Technologies

• Python
• time
• tracemalloc
• functools wraps