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debe354 | 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 | """
BooleanAdapter: Neural weights → {-1, +1} boolean states.
Deterministic threshold: w > 0 → +1, w ≤ 0 → -1
No entropy-increasing randomness.
"""
import numpy as np
def adapt(weights: np.ndarray) -> np.ndarray:
"""Convert raw neural weights to boolean states {-1, +1}."""
return np.where(weights > 0, 1.0, -1.0)
def adapt_with_threshold(weights: np.ndarray, threshold: float = 0.0) -> np.ndarray:
"""Convert with custom threshold."""
return np.where(weights > threshold, 1.0, -1.0)
def select_active(bool_weights: np.ndarray, n_active: int) -> np.ndarray:
"""Select top n_active agents by absolute weight magnitude."""
indices = np.argsort(np.abs(bool_weights))[::-1][:n_active]
result = np.zeros_like(bool_weights)
result[indices] = bool_weights[indices]
return result
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