import torch
from safetensors.torch import save_file

weights = {
    'neuron.weight': torch.tensor([[1.0, 1.0, 1.0, 1.0, 1.0, 1.0]], dtype=torch.float32),
    'neuron.bias': torch.tensor([-6.0], dtype=torch.float32)
}
save_file(weights, 'model.safetensors')

def test(bits):
    inputs = torch.tensor([float(b) for b in bits])
    return int((inputs @ weights['neuron.weight'].T + weights['neuron.bias'] >= 0).item())

print("Verifying 6-out-of-6...")
errors = 0
for i in range(64):
    bits = [(i >> j) & 1 for j in range(6)]
    result = test(bits)
    expected = 1 if sum(bits) >= 6 else 0
    if result != expected:
        errors += 1
if errors == 0:
    print("All 64 test cases passed!")
else:
    print(f"FAILED: {errors} errors")
print(f"Magnitude: {sum(t.abs().sum().item() for t in weights.values()):.0f}")