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3e2d859 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | """
Threshold Network for All-out-of-8 Gate (8-input AND)
A formally verified single-neuron threshold network.
Outputs 1 only when all 8 inputs are true.
Equivalent to an 8-input AND gate.
"""
import torch
from safetensors.torch import load_file
class ThresholdAllOutOf8:
"""
All-out-of-8 threshold gate (8-input AND).
Circuit: output = (sum of inputs - 8 >= 0)
Fires only when hamming weight = 8.
"""
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])
weighted_sum = (inputs * self.weight).sum() + self.bias
return (weighted_sum >= 0).float()
@classmethod
def from_safetensors(cls, path="model.safetensors"):
return cls(load_file(path))
if __name__ == "__main__":
weights = load_file("model.safetensors")
model = ThresholdAllOutOf8(weights)
print("All-out-of-8 Gate Tests:")
print("-" * 35)
for hw in range(9):
bits = [1]*hw + [0]*(8-hw)
out = int(model(bits).item())
expected = 1 if hw >= 8 else 0
status = "OK" if out == expected else "FAIL"
print(f"HW={hw}: {out} [{status}]")
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