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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
bug #86 : use internal:: namespace instead of ei_ prefix
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@@ -32,18 +32,18 @@ EIGEN_DONT_INLINE typename T::Scalar lapackNorm(T& v)
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Scalar ssq = 1;
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for (int i=0;i<n;++i)
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{
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Scalar ax = ei_abs(v.coeff(i));
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Scalar ax = internal::abs(v.coeff(i));
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if (scale >= ax)
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{
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ssq += ei_abs2(ax/scale);
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ssq += internal::abs2(ax/scale);
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}
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else
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{
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ssq = Scalar(1) + ssq * ei_abs2(scale/ax);
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ssq = Scalar(1) + ssq * internal::abs2(scale/ax);
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scale = ax;
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}
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}
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return scale * ei_sqrt(ssq);
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return scale * internal::sqrt(ssq);
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}
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template<typename T>
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@@ -73,15 +73,15 @@ EIGEN_DONT_INLINE typename T::Scalar divacNorm(T& v)
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v(i) = v(2*i) + v(2*i+1);
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n = n/2;
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}
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return ei_sqrt(v(0));
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return internal::sqrt(v(0));
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}
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#ifdef EIGEN_VECTORIZE
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Packet4f ei_plt(const Packet4f& a, Packet4f& b) { return _mm_cmplt_ps(a,b); }
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Packet2d ei_plt(const Packet2d& a, Packet2d& b) { return _mm_cmplt_pd(a,b); }
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Packet4f internal::plt(const Packet4f& a, Packet4f& b) { return _mm_cmplt_ps(a,b); }
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Packet2d internal::plt(const Packet2d& a, Packet2d& b) { return _mm_cmplt_pd(a,b); }
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Packet4f ei_pandnot(const Packet4f& a, Packet4f& b) { return _mm_andnot_ps(a,b); }
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Packet2d ei_pandnot(const Packet2d& a, Packet2d& b) { return _mm_andnot_pd(a,b); }
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Packet4f internal::pandnot(const Packet4f& a, Packet4f& b) { return _mm_andnot_ps(a,b); }
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Packet2d internal::pandnot(const Packet2d& a, Packet2d& b) { return _mm_andnot_pd(a,b); }
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#endif
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template<typename T>
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@@ -112,7 +112,7 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
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if(iemin > 1 - 2*it || 1+it>iemax || (it==2 && ibeta<5)
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|| (it<=4 && ibeta <= 3 ) || it<2)
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{
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ei_assert(false && "the algorithm cannot be guaranteed on this computer");
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eigen_assert(false && "the algorithm cannot be guaranteed on this computer");
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}
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iexp = -((1-iemin)/2);
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b1 = std::pow(ibeta, iexp); // lower boundary of midrange
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@@ -126,60 +126,60 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
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overfl = rbig*s2m; // overfow boundary for abig
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eps = std::pow(ibeta, 1-it);
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relerr = ei_sqrt(eps); // tolerance for neglecting asml
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relerr = internal::sqrt(eps); // tolerance for neglecting asml
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abig = 1.0/eps - 1.0;
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if (Scalar(nbig)>abig) nmax = abig; // largest safe n
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else nmax = nbig;
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}
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typedef typename ei_packet_traits<Scalar>::type Packet;
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const int ps = ei_packet_traits<Scalar>::size;
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Packet pasml = ei_pset1(Scalar(0));
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Packet pamed = ei_pset1(Scalar(0));
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Packet pabig = ei_pset1(Scalar(0));
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Packet ps2m = ei_pset1(s2m);
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Packet ps1m = ei_pset1(s1m);
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Packet pb2 = ei_pset1(b2);
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Packet pb1 = ei_pset1(b1);
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typedef typename internal::packet_traits<Scalar>::type Packet;
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const int ps = internal::packet_traits<Scalar>::size;
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Packet pasml = internal::pset1(Scalar(0));
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Packet pamed = internal::pset1(Scalar(0));
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Packet pabig = internal::pset1(Scalar(0));
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Packet ps2m = internal::pset1(s2m);
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Packet ps1m = internal::pset1(s1m);
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Packet pb2 = internal::pset1(b2);
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Packet pb1 = internal::pset1(b1);
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for(int j=0; j<v.size(); j+=ps)
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{
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Packet ax = ei_pabs(v.template packet<Aligned>(j));
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Packet ax_s2m = ei_pmul(ax,ps2m);
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Packet ax_s1m = ei_pmul(ax,ps1m);
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Packet maskBig = ei_plt(pb2,ax);
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Packet maskSml = ei_plt(ax,pb1);
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Packet ax = internal::pabs(v.template packet<Aligned>(j));
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Packet ax_s2m = internal::pmul(ax,ps2m);
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Packet ax_s1m = internal::pmul(ax,ps1m);
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Packet maskBig = internal::plt(pb2,ax);
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Packet maskSml = internal::plt(ax,pb1);
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// Packet maskMed = ei_pand(maskSml,maskBig);
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// Packet scale = ei_pset1(Scalar(0));
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// scale = ei_por(scale, ei_pand(maskBig,ps2m));
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// scale = ei_por(scale, ei_pand(maskSml,ps1m));
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// scale = ei_por(scale, ei_pandnot(ei_pset1(Scalar(1)),maskMed));
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// ax = ei_pmul(ax,scale);
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// ax = ei_pmul(ax,ax);
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// pabig = ei_padd(pabig, ei_pand(maskBig, ax));
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// pasml = ei_padd(pasml, ei_pand(maskSml, ax));
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// pamed = ei_padd(pamed, ei_pandnot(ax,maskMed));
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// Packet maskMed = internal::pand(maskSml,maskBig);
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// Packet scale = internal::pset1(Scalar(0));
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// scale = internal::por(scale, internal::pand(maskBig,ps2m));
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// scale = internal::por(scale, internal::pand(maskSml,ps1m));
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// scale = internal::por(scale, internal::pandnot(internal::pset1(Scalar(1)),maskMed));
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// ax = internal::pmul(ax,scale);
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// ax = internal::pmul(ax,ax);
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// pabig = internal::padd(pabig, internal::pand(maskBig, ax));
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// pasml = internal::padd(pasml, internal::pand(maskSml, ax));
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// pamed = internal::padd(pamed, internal::pandnot(ax,maskMed));
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pabig = ei_padd(pabig, ei_pand(maskBig, ei_pmul(ax_s2m,ax_s2m)));
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pasml = ei_padd(pasml, ei_pand(maskSml, ei_pmul(ax_s1m,ax_s1m)));
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pamed = ei_padd(pamed, ei_pandnot(ei_pmul(ax,ax),ei_pand(maskSml,maskBig)));
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pabig = internal::padd(pabig, internal::pand(maskBig, internal::pmul(ax_s2m,ax_s2m)));
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pasml = internal::padd(pasml, internal::pand(maskSml, internal::pmul(ax_s1m,ax_s1m)));
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pamed = internal::padd(pamed, internal::pandnot(internal::pmul(ax,ax),internal::pand(maskSml,maskBig)));
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}
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Scalar abig = ei_predux(pabig);
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Scalar asml = ei_predux(pasml);
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Scalar amed = ei_predux(pamed);
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Scalar abig = internal::predux(pabig);
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Scalar asml = internal::predux(pasml);
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Scalar amed = internal::predux(pamed);
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if(abig > Scalar(0))
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{
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abig = ei_sqrt(abig);
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abig = internal::sqrt(abig);
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if(abig > overfl)
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{
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ei_assert(false && "overflow");
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eigen_assert(false && "overflow");
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return rbig;
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}
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if(amed > Scalar(0))
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{
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abig = abig/s2m;
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amed = ei_sqrt(amed);
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amed = internal::sqrt(amed);
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}
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else
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{
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@@ -191,24 +191,24 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
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{
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if (amed > Scalar(0))
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{
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abig = ei_sqrt(amed);
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amed = ei_sqrt(asml) / s1m;
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abig = internal::sqrt(amed);
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amed = internal::sqrt(asml) / s1m;
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}
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else
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{
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return ei_sqrt(asml)/s1m;
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return internal::sqrt(asml)/s1m;
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}
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}
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else
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{
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return ei_sqrt(amed);
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return internal::sqrt(amed);
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}
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asml = std::min(abig, amed);
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abig = std::max(abig, amed);
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if(asml <= abig*relerr)
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return abig;
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else
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return abig * ei_sqrt(Scalar(1) + ei_abs2(asml/abig));
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return abig * internal::sqrt(Scalar(1) + internal::abs2(asml/abig));
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#endif
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}
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@@ -234,12 +234,12 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
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void check_accuracy(double basef, double based, int s)
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{
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double yf = basef * ei_abs(ei_random<double>());
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double yd = based * ei_abs(ei_random<double>());
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double yf = basef * internal::abs(internal::random<double>());
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double yd = based * internal::abs(internal::random<double>());
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VectorXf vf = VectorXf::Ones(s) * yf;
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VectorXd vd = VectorXd::Ones(s) * yd;
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std::cout << "reference\t" << ei_sqrt(double(s))*yf << "\t" << ei_sqrt(double(s))*yd << "\n";
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std::cout << "reference\t" << internal::sqrt(double(s))*yf << "\t" << internal::sqrt(double(s))*yd << "\n";
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std::cout << "sqsumNorm\t" << sqsumNorm(vf) << "\t" << sqsumNorm(vd) << "\n";
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std::cout << "hypotNorm\t" << hypotNorm(vf) << "\t" << hypotNorm(vd) << "\n";
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std::cout << "blueNorm\t" << blueNorm(vf) << "\t" << blueNorm(vd) << "\n";
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@@ -255,11 +255,11 @@ void check_accuracy_var(int ef0, int ef1, int ed0, int ed1, int s)
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VectorXd vd(s);
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for (int i=0; i<s; ++i)
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{
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vf[i] = ei_abs(ei_random<double>()) * std::pow(double(10), ei_random<int>(ef0,ef1));
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vd[i] = ei_abs(ei_random<double>()) * std::pow(double(10), ei_random<int>(ed0,ed1));
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vf[i] = internal::abs(internal::random<double>()) * std::pow(double(10), internal::random<int>(ef0,ef1));
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vd[i] = internal::abs(internal::random<double>()) * std::pow(double(10), internal::random<int>(ed0,ed1));
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}
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//std::cout << "reference\t" << ei_sqrt(double(s))*yf << "\t" << ei_sqrt(double(s))*yd << "\n";
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//std::cout << "reference\t" << internal::sqrt(double(s))*yf << "\t" << internal::sqrt(double(s))*yd << "\n";
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std::cout << "sqsumNorm\t" << sqsumNorm(vf) << "\t" << sqsumNorm(vd) << "\t" << sqsumNorm(vf.cast<long double>()) << "\t" << sqsumNorm(vd.cast<long double>()) << "\n";
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std::cout << "hypotNorm\t" << hypotNorm(vf) << "\t" << hypotNorm(vd) << "\t" << hypotNorm(vf.cast<long double>()) << "\t" << hypotNorm(vd.cast<long double>()) << "\n";
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std::cout << "blueNorm\t" << blueNorm(vf) << "\t" << blueNorm(vd) << "\t" << blueNorm(vf.cast<long double>()) << "\t" << blueNorm(vd.cast<long double>()) << "\n";
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@@ -273,7 +273,7 @@ int main(int argc, char** argv)
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{
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int tries = 10;
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int iters = 100000;
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double y = 1.1345743233455785456788e12 * ei_random<double>();
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double y = 1.1345743233455785456788e12 * internal::random<double>();
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VectorXf v = VectorXf::Ones(1024) * y;
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// return 0;
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