"""
Threshold Network for MOD-10 Circuit

For 8-bit inputs, HW ranges 0-8, all less than 10, so HW mod 10 = HW.
"""

import torch
from safetensors.torch import load_file


class ThresholdMod10:
    def __init__(self, weights_dict):
        self.weight = weights_dict['weight']
        self.bias = weights_dict['bias']

    def __call__(self, bits):
        inputs = torch.tensor([float(b) for b in bits])
        return (inputs * self.weight).sum() + self.bias

    @classmethod
    def from_safetensors(cls, path="model.safetensors"):
        return cls(load_file(path))


if __name__ == "__main__":
    weights = load_file("model.safetensors")
    model = ThresholdMod10(weights)
    for hw in range(9):
        bits = [1]*hw + [0]*(8-hw)
        print(f"HW={hw}: out={model(bits).item():.0f}, HW mod 10 = {hw}")