bmtools 0.1.2

System informations

bmtools provides some tools dedicated to benchmarking.

Requirements

python:

>= 3.7

matplotlib:

>= 3.0

numpy:

>= 1.1

Installation

Clone the github repo and

$ python setup.py install

or install via Pypi

$ pip install bmtools

Compare execution times

Benchmarking functions execution can be done with Compare class as follows:

import numpy as np
from bmtools import Compare

def star_op(x):
    return x**0.5

def pow_op(x):
    return pow(x, 0.5)

def sqrt_op(x):
    return np.sqrt(x)

if __name__ == "__main__":

    # Single comparison
    bm1 = Compare(pow_op, star_op, sqrt_op, unit='ms')
    bm1.run(fargs=(np.random.rand(1000000), ), check_output=True)
    bm1.display()

    # Parametric comparison
    bm2 = Compare(pow_op, star_op, sqrt_op, unit='ms')
    for n in [2**n for n in range(16, 23)]:
        bm2.run(fargs=(np.random.rand(n), ), desc=n, check_output=True)

    bm2.bars()

Add time probes to your code