* `tf.config.experimental.enable_tensor_float_32_execution`

 Ze=null;const Je=R({},["audio","video","img","source","image","track"]);let Qe=null;const et=R({},["alt","class","for","id","label","name","pattern","placeholder","role","summary","title","value","style","xmlns"]),tt="http://www.w3.org/1998/Math/MathML",nt="http://www.w3.org/2000/svg",ot="http://www.w3.org/1999/xhtml";let rt=ot,it=!1,at=null;const lt=R({},[tt,nt,ot],g);let ct=R({},["mi","mo","mn","ms","mtext"]),st=R({},["annotation-xml"]);const ut=R({},["title","style","font","a","script"]);let...

performance. t = f[j+1] f[j+1] = fieldAdd(t, flen[j+1]) flen[j+1] = fieldMontgomeryMulSu(zeta, flen[j+1], t) } } } for i := range f { f[i] = fieldMontgomeryMul(f[i], 16382) // 16382 = 256⁻¹ * R mod q } return ringElement(f) } // nttMul multiplies two nttElements. func nttMul(a, b nttElement) (p nttElement) { for i := range p { p[i] = fieldMontgomeryMul(a[i], b[i]) } return p } // sampleNTT samples an nttElement uniformly at random from the seed rho and the // indices s and r. It implements Step 3 of...