EvoApproxLib^LITE

How to use the model from Python

#Make sure that cython extension is installed
#> pip install --user cython

# The source code of the add16u_1A5 extension needs to be downloaded first
> curl -s "https://ehw.fit.vutbr.cz/evoapproxlib/v1.2022?folder=adders/16_unsigned/pareto_pwr_mse&file=add16u_1A5.c&pyx=bash" | bash

#Finally, the extension can be used in a Python script as follows
> python
import pyximport; pyximport.install()
import add16u_1A5

wce = e = 0
for i in range(0,2**16):
    for j in range(0,2**16):
        diff = abs(add16u_1A5.add(i,j) - (i+j))
        if diff > wce: wce = diff
        e += diff

print('average error magnitude (mae)',e/(2.0**(17)))
print('worst-case error magnitude (wce)',wce)