model.py

import torch
from safetensors.torch import load_file

def load_model(path='model.safetensors'):
    return load_file(path)

def exactly4of5(a, b, c, d, e, weights):
    inp = torch.tensor([float(a), float(b), float(c), float(d), float(e)])
    l1 = (inp @ weights['layer1.weight'].T + weights['layer1.bias'] >= 0).float()
    out = (l1 @ weights['layer2.weight'].T + weights['layer2.bias'] >= 0).float()
    return int(out.item())

if __name__ == '__main__':
    w = load_model()
    print('exactly4outof5 selected outputs:')
    for s in range(6):
        bits = [(1 if j < s else 0) for j in range(5)]
        print(f'  sum={s}: {bits} -> {exactly4of5(*bits, w)}')