threshold-7outof8

Near-unanimity detector. Fires when 7 or more of 8 inputs are set.

Circuit

  xβ‚€ x₁ xβ‚‚ x₃ xβ‚„ xβ‚… x₆ x₇
   β”‚  β”‚  β”‚  β”‚  β”‚  β”‚  β”‚  β”‚
   β””β”€β”€β”΄β”€β”€β”΄β”€β”€β”΄β”€β”€β”Όβ”€β”€β”΄β”€β”€β”΄β”€β”€β”΄β”€β”€β”˜
               β–Ό
          β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”
          β”‚ w: all 1β”‚
          β”‚ b:  -7  β”‚
          β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
               β”‚
               β–Ό
            HW β‰₯ 7

Mechanism

  • Sum = (number of 1s) - 7
  • Fires when Hamming weight β‰₯ 7

Tolerates exactly one missing input. Almost-AND.

k-out-of-8 Family

Circuit Bias Fires when
... ... ...
6-out-of-8 -6 HW β‰₯ 6
7-out-of-8 -7 HW β‰₯ 7 (this)
8-out-of-8 -8 HW = 8

Parameters

Weights [1, 1, 1, 1, 1, 1, 1, 1]
Bias -7
Total 9 parameters

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def at_least_7(bits):
    inputs = torch.tensor([float(b) for b in bits])
    return int((inputs * w['weight']).sum() + w['bias'] >= 0)

Files

threshold-7outof8/
β”œβ”€β”€ model.safetensors
β”œβ”€β”€ model.py
β”œβ”€β”€ config.json
└── README.md

License

MIT

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