Synced from resonance-engine-active - July 16 2026
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Scruff AI
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#!/usr/bin/env python3
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# baseline_orbit_test.py
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# QUESTION (baseline, before any perturbation): left to breathe with NOTHING done to it,
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# does the SPATIAL field return to itself — is there a stable attractor it relaxes onto
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# (=> old perturbations wash out, we effectively HAVE a baseline despite never resetting)
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# or does it accumulate/drift forever (=> contaminated, no clean baseline)?
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#
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# The global telemetry shows a clean ~120-cycle coherence limit cycle. This asks whether
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# the SPATIAL field (5561 coarse stream) is ALSO on a clean orbit, or churns underneath it.
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#
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# Read-only: subscribes to 5561, sends NOTHING to the daemon. No injection.
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#
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# Method — "does it return to itself":
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# Capture a long undisturbed stretch. For a reference frame at time t0, measure the
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# spatial distance to every later frame. If there's an attractor/orbit, distance should
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# DIP periodically (field comes back near where it was) — a recurrence signature.
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# If it's accumulating, distance grows monotonically and never returns.
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# Cross-check against the mass-leak: work on MEAN-SUBTRACTED, per-frame-normalized fields
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# so we test PATTERN return, not the slow density ramp.
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import sys, io, struct, time
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
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import numpy as np
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try:
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import zmq
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except ImportError:
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print("pip install pyzmq --break-system-packages"); sys.exit(1)
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TILES, CH = 32, 6
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NVALS = TILES*TILES*CH
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HDR = 16
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FRAME_BYTES = HDR + NVALS*4
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PORT = "tcp://localhost:5561"
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CH_NAMES = ["rho","ux","uy","sxx","syy","sxy"]
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N_CAPTURE = 1500 # ~150s at 100Hz => ~15000 cycles => >100 of the ~120-cycle global orbits
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OUT_DATA = "baseline_orbit.npz"
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OUT_REPORT = "baseline_orbit_report.txt"
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def capture(n):
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ctx=zmq.Context(); s=ctx.socket(zmq.SUB)
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s.setsockopt(zmq.RCVTIMEO,5000); s.setsockopt_string(zmq.SUBSCRIBE,"")
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s.connect(PORT)
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frames=[]; cycles=[]
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print(f"Capturing {n} frames (read-only, NO injection)...", flush=True)
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t0=time.time()
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while len(frames)<n:
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try: buf=s.recv()
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except zmq.Again:
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print(f" timeout after {len(frames)} — is 5561 streaming?"); break
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if len(buf)!=FRAME_BYTES or buf[:4]!=b"KGCF": continue
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cyc=struct.unpack_from("<I",buf,4)[0]
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vals=np.frombuffer(buf,dtype=np.float32,count=NVALS,offset=HDR).copy()
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frames.append(vals.reshape(TILES*TILES,CH)); cycles.append(cyc)
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if len(frames)%250==0: print(f" {len(frames)}/{n} cycle={cyc}", flush=True)
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s.close(); ctx.term()
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print(f"Captured {len(frames)} in {time.time()-t0:.1f}s", flush=True)
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return np.array(frames), np.array(cycles)
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def norm_frames(F):
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# per-frame, per-channel mean-subtract + scale -> tests PATTERN, removes mass-leak amplitude
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G=F.astype(np.float64).copy() # (T, tiles, CH)
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mu=G.mean(axis=1,keepdims=True) # per-frame per-channel mean
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G=G-mu
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sd=G.std(axis=1,keepdims=True); sd[sd<1e-12]=1.0
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G=G/sd
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return G.reshape(len(G),-1) # (T, tiles*CH)
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def main():
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F,C=capture(N_CAPTURE)
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if len(F)<300:
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print("Too few frames; aborting."); sys.exit(1)
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dcyc=np.diff(C)
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print(f"cycle step median={np.median(dcyc):.0f} (expect ~10)", flush=True)
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G=norm_frames(F) # (T, D)
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T=len(G)
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lines=[];
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def out(s): print(s,flush=True); lines.append(s)
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out("="*64)
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out("BASELINE ORBIT / RETURN TEST — undisturbed spatial field (5561)")
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out("="*64)
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out(f"frames={T} cycles {C[0]}..{C[-1]} (~{C[-1]-C[0]} cycles)")
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# --- RECURRENCE: distance from several reference frames to all later frames ---
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# Look for periodic DIPS (field returns near a past state).
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refs=[0, T//4, T//2]
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out("")
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out("RETURN SIGNATURE (does distance-from-reference dip periodically?):")
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dip_periods=[]
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for r in refs:
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d=np.sqrt(np.mean((G-G[r])**2,axis=1)) # distance from ref to all frames
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# ignore the trivial zero at r; look forward
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fwd=d[r+5:]
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if len(fwd)<50: continue
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# find local minima (returns) and their spacing in frames
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mins=[]
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for i in range(2,len(fwd)-2):
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if fwd[i]<fwd[i-1] and fwd[i]<fwd[i+1] and fwd[i]<np.median(fwd)*0.85:
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mins.append(i)
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if len(mins)>=2:
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spac=np.diff(mins)
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# convert frame-spacing to cycle-spacing (~10 cyc/frame)
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cyc_per=np.median(spac)*np.median(dcyc)
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dip_periods.append(cyc_per)
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out(f" ref@frame{r}: {len(mins)} returns, ~{cyc_per:.0f} cycles between returns, "
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f"min dist reached {fwd[mins].min():.3f} (start dist {d[r]:.3f}->{fwd.min():.3f})")
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else:
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out(f" ref@frame{r}: NO periodic returns found (distance does not dip back)")
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# --- ACCUMULATION vs BOUNDED: does distance-from-start grow forever or stay bounded? ---
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d0=np.sqrt(np.mean((G-G[0])**2,axis=1))
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# linear trend of distance over time
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tt=np.arange(T)
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slope=np.polyfit(tt,d0,1)[0]
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early=d0[:T//5].mean(); late=d0[-T//5:].mean()
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out("")
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out("ACCUMULATION CHECK (pattern distance from start over time):")
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out(f" early mean dist {early:.3f} | late mean dist {late:.3f} | trend slope {slope:+.2e}/frame")
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bounded = abs(late-early)/max(early,1e-9) < 0.15 and abs(slope) < (early/ (T*3))
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out(f" {'BOUNDED — pattern distance stays flat: field orbits, does NOT accumulate' if bounded else 'GROWING — pattern distance trends up: field is drifting/accumulating'}")
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# --- global coherence-analog on coarse field for cross-check with telemetry ~120-cyc ---
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out("")
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if dip_periods:
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out(f"SPATIAL return period ~{np.median(dip_periods):.0f} cycles "
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f"(telemetry global coherence orbit was ~120 cyc — compare).")
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out("")
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out("=== BASELINE VERDICT ===")
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has_orbit = len(dip_periods)>0
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if has_orbit and bounded:
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out(" ATTRACTOR PRESENT: the undisturbed spatial field RETURNS to near past states")
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out(" on a stable period and does not accumulate. => It relaxes onto an attractor;")
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out(" old perturbations plausibly wash out; we effectively HAVE a baseline despite")
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out(" never resetting. The natural churn is a bounded orbit = a clean noise floor")
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out(" to run an on/off perturbation test against.")
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elif not has_orbit and not bounded:
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out(" ACCUMULATING / NON-RETURNING: the spatial field does not come back to itself")
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out(" and drifts. => Jason's contamination worry is supported: no clean baseline;")
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out(" history accumulates. A perturbation test needs each trial from a fresh daemon,")
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out(" or must measure deltas over windows short vs the drift.")
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else:
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out(" MIXED: orbit and accumulation signals disagree — report both, do not force a verdict.")
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out(" (e.g. bounded but no clean periodic return = wanders on a bounded manifold.)")
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np.savez(OUT_DATA, frames=F.astype(np.float32), cycles=C, d0=d0)
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with open(OUT_REPORT,"w") as f: f.write("\n".join(lines)+"\n")
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print(f"\nWrote {OUT_REPORT} and {OUT_DATA}. DONE.", flush=True)
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if __name__=="__main__":
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main()
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