"""Independent field checks and mesh-refinement audits; no training-set tuning.""" import json from pathlib import Path import numpy as np import h5py from generate import ROOT, run, parameters def metrics(kind,folder,p): with h5py.File(folder/"fields.h5") as f: coords=f["Mesh/ReferenceGeometry"][:] cells=f["Mesh/Topology"][:] out={"nodes":len(coords),"cells":len(cells)} def finite(name,obj): if isinstance(obj,h5py.Dataset): assert np.isfinite(obj[:]).all(),name f.visititems(finite) if kind=="notch": center=coords[cells[:,:3]].mean(1) v=f["Frames/0000/Cell/MISES"][:] region=(center[:,0]>.3*p[0])&(center[:,0]<.7*p[0]) out["central_cell_mises_max_pa"]=float(v[region].max()) elif kind=="heat": vals=np.load(folder/"field.npz")["values"][:,0] assert vals.min()>299.99 out["peak_temperature_rise_k"]=float(vals.max()-300) else: out["radial_displacement_max_m"]=float(f["Frames/0000/Point/U"][:,0].max()) return out if __name__=="__main__": import argparse ap=argparse.ArgumentParser(); ap.add_argument("kind"); ap.add_argument("--refinement",type=int,default=1) args=ap.parse_args(); kind=args.kind; ref=args.refinement root=ROOT/"generated"/(kind if ref==1 else kind+f"_r{ref}") pars=parameters(kind,256) indices=[0,31,64,95,128,159,192,255] audit=[] for i in indices: base=root/"samples"/f"{i:05d}" if not (base/"sample.json").exists(): base=root/"mesh_audit_coarse"/f"{i:05d}" run(kind,pars[i],base,ref) fine=root/"mesh_audit"/f"{i:05d}" if not (fine/"sample.json").exists(): run(kind,pars[i],fine,2*ref) a=metrics(kind,base,pars[i]); b=metrics(kind,fine,pars[i]); key=list(a)[-1] err=abs(a[key]-b[key])/abs(b[key]) audit.append({"id":f"{i:05d}","coarse":a,"fine":b,"relative_change":err,"quantity":key}) print(kind,i,"mesh_change",err,flush=True) (root/"mesh_audit.json").write_text(json.dumps(audit,indent=2))