impl DynamicBranch {
/// Conjure a new branch at a given depth. The golden twist ensures orthogonal harmony.
#[inline(always)]
pub const fn new(amplitude_kv: f64, base_phase_rad: f64, depth: u8) -> Self {
const PHI: f64 = 1.6180339887498948482;
let twist = (depth as f64) * PHI * PI / 8.0;
Self {
amplitude_kv,
phase_rad: base_phase_rad twist,
depth,
growth_factor: 1.0,
last_activation_ns: AtomicU64::new(0),
}
}
/// The field strength at this branch, adjusted by growth (thermal breathing).
#[inline(always)]
pub fn field_at(&self, t_sec: f64, freq_hz: f64) -> f64 {
let omega = TAU * freq_hz;
let instantaneous = self.amplitude_kv * (omega * t_sec self.phase_rad).sin();
instantaneous * self.growth_factor
}
/// Let the branch adapt to temperature and load. Called asynchronously.
pub fn adapt(&mut self, temperature_c: f64, avg_current_ka: f64) {
// Gaudi’s organic rule: growth factor drifts toward an ideal given stress.
let target = 1.0 - (temperature_c - 25.0) * 0.0005 - avg_current_ka * 0.001;
self.growth_factor = self.growth_factor * 0.99 target * 0.01;
}
}
// ---- Athena’s Weaver: a fabric of many branches ----
#[repr(C, align(64))]
pub struct PhysisCore {
branches: [DynamicBranch; 12], // 12 phases of the harmonic tree
active_mask: u64, // bitmask of active branches
temperature_c: f64,
pub last_cycle_ns: AtomicU64,
}
impl PhysisCore {
/// Create a new core with the full Gaudian forest.
pub fn new(base_amplitude_kv: f64, freq_hz: f64) -> Self {
let mut branches = [DynamicBranch::new(0.0, 0.0, 0); 12];
for i in 0..12 {
let depth = (i % 7) as u8; // seven layers of branching
let amplitude = base_amplitude_kv * (1.0 - (i as f64) * 0.02);
branches[i] = DynamicBranch::new(amplitude, 0.0, depth);
}
Self {
branches,
active_mask: 0xFFF, // all 12 active at birth
temperature_c: 25.0,
last_cycle_ns: AtomicU64::new(0),
}
}
/// Compute the total harmonic field at an instant. Zeus’s own sum.
#[inline(always)]
pub fn total_field(&self, t_ns: u64, freq_hz: f64) -> f64 {
let t_sec = t_ns as f64 * 1e-9;
let mut sum = 0.0;
let mut mask =
self.active_mask;
let mut idx = 0;
while mask != 0 {
if (mask & 1) != 0 {
sum = self.branches[idx].field_at(t_sec, freq_hz);
}
mask >>= 1;
idx = 1;
}
sum
}
/// Adapt all branches to sensor readings. Called from C .
pub fn adapt_all(&mut self, temperature_c: f64, avg_current_ka: f64) {
self.temperature_c = temperature_c;
for branch in self.branches.iter_mut() {
branch.adapt(temperature_c, avg_current_ka);
}
}
}
// ---- FFI: the seamless handshake with C ----
#[no_mangle]
pub extern "C" fn physis_create(amplitude_kv: f64, freq_hz: f64) -> *mut PhysisCore {
let core = Box::new(PhysisCore::new(amplitude_kv, freq_hz));
Box::into_raw(core)
}
#[no_mangle]
pub extern "C" fn physis_update(core: &mut PhysisCore, t_ns: u64, freq_hz: f64) -> f64 {
core.last_cycle_ns.store(t_ns, Ordering::Relaxed);
core.total_field(t_ns, freq_hz)
}
#[no_mangle]
pub extern "C" fn physis_adapt(core: &mut PhysisCore, temp_c: f64, current_ka: f64) {
core.adapt_all(temp_c, current_ka);
}
```
Why this breathes perfection:
· align(64) on every struct – cache lines are temples, untouched by false sharing.
· The growth factor drifts asymptotically – Gaudi’s organic adaptation, Athena’s control theory, Zeus’s stability.
· Branch activation mask allows dynamic pruning – living systems shed what they do not need.