totalconvolve.h 33.2 KB
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/*
 *  This code is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 2 of the License, or
 *  (at your option) any later version.
 *
 *  This code is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this code; if not, write to the Free Software
 *  Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
 */

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/*
 *  Copyright (C) 2020 Max-Planck-Society
 *  Author: Martin Reinecke
 */

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#ifndef DUCC0_INTERPOL_NG_H
#define DUCC0_INTERPOL_NG_H
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#define SIMD_INTERPOL
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#define SPECIAL_CASING
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#include <vector>
#include <complex>
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#include <cmath>
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#include "ducc0/math/constants.h"
#include "ducc0/math/gl_integrator.h"
#include "ducc0/math/es_kernel.h"
#include "ducc0/infra/mav.h"
#include "ducc0/infra/simd.h"
#include "ducc0/sharp/sharp.h"
#include "ducc0/sharp/sharp_almhelpers.h"
#include "ducc0/sharp/sharp_geomhelpers.h"
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#include "python/alm.h"
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#include "ducc0/math/fft.h"
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namespace ducc0 {
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namespace detail_fft {

using std::vector;

template<typename T, typename T0> aligned_array<T> alloc_tmp_conv
  (const fmav_info &info, size_t axis, size_t len)
  {
  auto othersize = info.size()/info.shape(axis);
  constexpr auto vlen = native_simd<T0>::size();
  auto tmpsize = len*((othersize>=vlen) ? vlen : 1);
  return aligned_array<T>(tmpsize);
  }

template<typename Tplan, typename T, typename T0, typename Exec>
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DUCC0_NOINLINE void general_convolve(const fmav<T> &in, fmav<T> &out,
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  const size_t axis, const vector<T0> &kernel, size_t nthreads,
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  const Exec &exec)
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  {
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  std::unique_ptr<Tplan> plan1, plan2;
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  size_t l_in=in.shape(axis), l_out=out.shape(axis);
  size_t l_min=std::min(l_in, l_out), l_max=std::max(l_in, l_out);
  MR_assert(kernel.size()==l_min/2+1, "bad kernel size");
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  plan1 = std::make_unique<Tplan>(l_in);
  plan2 = std::make_unique<Tplan>(l_out);
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  execParallel(
    util::thread_count(nthreads, in, axis, native_simd<T0>::size()),
    [&](Scheduler &sched) {
      constexpr auto vlen = native_simd<T0>::size();
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      auto storage = alloc_tmp_conv<T,T0>(in, axis, l_max);
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      multi_iter<vlen> it(in, out, axis, sched.num_threads(), sched.thread_num());
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#ifndef DUCC0_NO_SIMD
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      if (vlen>1)
        while (it.remaining()>=vlen)
          {
          it.advance(vlen);
          auto tdatav = reinterpret_cast<add_vec_t<T> *>(storage.data());
          exec(it, in, out, tdatav, *plan1, *plan2, kernel);
          }
#endif
      while (it.remaining()>0)
        {
        it.advance(1);
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        auto buf = reinterpret_cast<T *>(storage.data());
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        exec(it, in, out, buf, *plan1, *plan2, kernel);
        }
    });  // end of parallel region
  }

struct ExecConvR1
  {
  template <typename T0, typename T, size_t vlen> void operator() (
    const multi_iter<vlen> &it, const fmav<T0> &in, fmav<T0> &out,
    T * buf, const pocketfft_r<T0> &plan1, const pocketfft_r<T0> &plan2,
    const vector<T0> &kernel) const
    {
    size_t l_in = plan1.length(),
           l_out = plan2.length(),
           l_min = std::min(l_in, l_out);
    copy_input(it, in, buf);
    plan1.exec(buf, T0(1), true);
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    for (size_t i=0; i<l_min; ++i) buf[i]*=kernel[(i+1)/2];
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    for (size_t i=l_in; i<l_out; ++i) buf[i] = T(0);
    plan2.exec(buf, T0(1), false);
    copy_output(it, buf, out);
    }
  };

template<typename T> void convolve_1d(const fmav<T> &in,
  fmav<T> &out, size_t axis, const vector<T> &kernel, size_t nthreads=1)
  {
  MR_assert(axis<in.ndim(), "bad axis number");
  MR_assert(in.ndim()==out.ndim(), "dimensionality mismatch");
  if (in.data()==out.data())
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    MR_assert(in.stride()==out.stride(), "strides mismatch");
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  for (size_t i=0; i<in.ndim(); ++i)
    if (i!=axis)
      MR_assert(in.shape(i)==out.shape(i), "shape mismatch");
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  MR_assert(!((in.shape(axis)&1) || (out.shape(axis)&1)),
    "input and output axis lengths must be even");
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  if (in.size()==0) return;
  general_convolve<pocketfft_r<T>>(in, out, axis, kernel, nthreads,
    ExecConvR1());
  }

}
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using detail_fft::convolve_1d;

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namespace detail_totalconvolve {
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using namespace std;
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template<typename T> class Interpolator
  {
  protected:
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    bool adjoint;
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    size_t lmax, kmax, nphi0, ntheta0, nphi, ntheta;
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    int nthreads;
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    T ofactor;
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    size_t supp;
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    ES_Kernel kernel;
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    size_t ncomp;
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#ifdef SIMD_INTERPOL
    mav<native_simd<T>,4> scube;
#endif
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    mav<T,4> cube; // the data cube (theta, phi, 2*mbeam+1, TGC)
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    void correct(mav<T,2> &arr, int spin)
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      {
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      T sfct = (spin&1) ? -1 : 1;
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      mav<T,2> tmp({nphi,nphi0});
      // copy and extend to second half
      for (size_t j=0; j<nphi0; ++j)
        tmp.v(0,j) = arr(0,j);
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      for (size_t i=1, i2=nphi0-1; i+1<ntheta0; ++i,--i2)
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        for (size_t j=0,j2=nphi0/2; j<nphi0; ++j,++j2)
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          {
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          if (j2>=nphi0) j2-=nphi0;
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          tmp.v(i,j2) = arr(i,j2);
          tmp.v(i2,j) = sfct*tmp(i,j2);
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          }
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      for (size_t j=0; j<nphi0; ++j)
        tmp.v(ntheta0-1,j) = arr(ntheta0-1,j);
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      auto fct = kernel.correction_factors(nphi, nphi0/2+1, nthreads);
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      vector<T> k2(fct.size());
      for (size_t i=0; i<fct.size(); ++i) k2[i] = T(fct[i]/nphi0);
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      fmav<T> ftmp(tmp);
      fmav<T> ftmp0(tmp.template subarray<2>({0,0},{nphi0, nphi0}));
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      convolve_1d(ftmp0, ftmp, 0, k2, nthreads);
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      fmav<T> ftmp2(tmp.template subarray<2>({0,0},{ntheta, nphi0}));
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      fmav<T> farr(arr);
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      convolve_1d(ftmp2, farr, 1, k2, nthreads);
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      }
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    void decorrect(mav<T,2> &arr, int spin)
      {
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      T sfct = (spin&1) ? -1 : 1;
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      mav<T,2> tmp({nphi,nphi0});
      auto fct = kernel.correction_factors(nphi, nphi0/2+1, nthreads);
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      vector<T> k2(fct.size());
      for (size_t i=0; i<fct.size(); ++i) k2[i] = T(fct[i]/nphi0);
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      fmav<T> farr(arr);
      fmav<T> ftmp2(tmp.template subarray<2>({0,0},{ntheta, nphi0}));
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      convolve_1d(farr, ftmp2, 1, k2, nthreads);
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      // extend to second half
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      for (size_t i=1, i2=nphi-1; i+1<ntheta; ++i,--i2)
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        for (size_t j=0,j2=nphi0/2; j<nphi0; ++j,++j2)
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          {
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          if (j2>=nphi0) j2-=nphi0;
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          tmp.v(i2,j) = sfct*tmp(i,j2);
          }
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      fmav<T> ftmp(tmp);
      fmav<T> ftmp0(tmp.template subarray<2>({0,0},{nphi0, nphi0}));
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      convolve_1d(ftmp, ftmp0, 0, k2, nthreads);
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      for (size_t j=0; j<nphi0; ++j)
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        arr.v(0,j) = T(0.5)*tmp(0,j);
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      for (size_t i=1; i+1<ntheta0; ++i)
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        for (size_t j=0; j<nphi0; ++j)
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          arr.v(i,j) = tmp(i,j);
      for (size_t j=0; j<nphi0; ++j)
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        arr.v(ntheta0-1,j) = T(0.5)*tmp(ntheta0-1,j);
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      }
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    vector<size_t> getIdx(const mav<T,2> &ptg) const
      {
      vector<size_t> idx(ptg.shape(0));
      constexpr size_t cellsize=16;
      size_t nct = ntheta/cellsize+1,
             ncp = nphi/cellsize+1;
      vector<vector<size_t>> mapper(nct*ncp);
      for (size_t i=0; i<ptg.shape(0); ++i)
        {
        size_t itheta=min(nct-1,size_t(ptg(i,0)/pi*nct)),
               iphi=min(ncp-1,size_t(ptg(i,1)/(2*pi)*ncp));
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//        MR_assert((itheta<nct)&&(iphi<ncp), "oops");
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        mapper[itheta*ncp+iphi].push_back(i);
        }
      size_t cnt=0;
      for (const auto &vec: mapper)
        for (auto i:vec)
          idx[cnt++] = i;
      return idx;
      }

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  public:
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    Interpolator(const vector<Alm<complex<T>>> &slm,
                 const vector<Alm<complex<T>>> &blm,
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                 bool separate, T epsilon, T ofmin, int nthreads_)
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      : adjoint(false),
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        lmax(slm.at(0).Lmax()),
        kmax(blm.at(0).Mmax()),
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        nphi0(2*good_size_real(lmax+1)),
        ntheta0(nphi0/2+1),
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        nphi(std::max<size_t>(20,2*good_size_real(size_t((2*lmax+1)*ofmin/2.)))),
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        ntheta(nphi/2+1),
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        nthreads(nthreads_),
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        ofactor(T(nphi)/(2*lmax+1)),
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        supp(ES_Kernel::get_supp(epsilon, ofactor)),
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        kernel(supp, ofactor, nthreads),
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        ncomp(separate ? slm.size() : 1),
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#ifdef SIMD_INTERPOL
        scube({ntheta+2*supp, nphi+2*supp, ncomp, (2*kmax+1+native_simd<T>::size()-1)/native_simd<T>::size()}),
        cube(reinterpret_cast<T *>(scube.vdata()),{ntheta+2*supp, nphi+2*supp, ncomp, ((2*kmax+1+native_simd<T>::size()-1)/native_simd<T>::size())*native_simd<T>::size()},true)
#else
        cube({ntheta+2*supp, nphi+2*supp, ncomp, 2*kmax+1})
#endif
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      {
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      MR_assert((ncomp==1)||(ncomp==3), "currently only 1 or 3 components allowed");
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      MR_assert(slm.size()==blm.size(), "inconsistent slm and blm vectors");
      for (size_t i=0; i<slm.size(); ++i)
        {
        MR_assert(slm[i].Lmax()==lmax, "inconsistent Sky lmax");
        MR_assert(slm[i].Mmax()==lmax, "Sky lmax must be equal to Sky mmax");
        MR_assert(blm[i].Lmax()==lmax, "Sky and beam lmax must be equal");
        MR_assert(blm[i].Mmax()==kmax, "Inconcistent beam mmax");
        }

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      MR_assert((supp<=ntheta) && (supp<=nphi), "support too large!");
      Alm<complex<T>> a1(lmax, lmax), a2(lmax,lmax);
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      auto ginfo = sharp_make_cc_geom_info(ntheta0,nphi0,0.,cube.stride(1),cube.stride(0));
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      auto ainfo = sharp_make_triangular_alm_info(lmax,lmax,1);

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      vector<T>lnorm(lmax+1);
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      for (size_t i=0; i<=lmax; ++i)
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        lnorm[i]=T(std::sqrt(4*pi/(2*i+1.)));
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      for (size_t icomp=0; icomp<ncomp; ++icomp)
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        {
        for (size_t m=0; m<=lmax; ++m)
          for (size_t l=m; l<=lmax; ++l)
            {
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            if (separate)
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              a1(l,m) = slm[icomp](l,m)*blm[icomp](l,0).real()*lnorm[l];
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            else
              {
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              a1(l,m) = 0;
              for (size_t j=0; j<slm.size(); ++j)
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                a1(l,m) += slm[j](l,m)*blm[j](l,0).real()*lnorm[l];
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              }
            }
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        auto m1 = cube.template subarray<2>({supp,supp,icomp,0},{ntheta,nphi,0,0});
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        sharp_alm2map(a1.Alms().data(), m1.vdata(), *ginfo, *ainfo, 0, nthreads);
        correct(m1,0);

        for (size_t k=1; k<=kmax; ++k)
          {
          for (size_t m=0; m<=lmax; ++m)
            for (size_t l=m; l<=lmax; ++l)
              {
              if (l<k)
                a1(l,m)=a2(l,m)=0.;
              else
                {
                if (separate)
                  {
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                  auto tmp = blm[icomp](l,k)*(-2*lnorm[l]);
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                  a1(l,m) = slm[icomp](l,m)*tmp.real();
                  a2(l,m) = slm[icomp](l,m)*tmp.imag();
                  }
                else
                  {
                  a1(l,m) = a2(l,m) = 0;
                  for (size_t j=0; j<slm.size(); ++j)
                    {
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                    auto tmp = blm[j](l,k)*(-2*lnorm[l]);
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                    a1(l,m) += slm[j](l,m)*tmp.real();
                    a2(l,m) += slm[j](l,m)*tmp.imag();
                    }
                  }
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                }
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              }
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          auto m1 = cube.template subarray<2>({supp,supp,icomp,2*k-1},{ntheta,nphi,0,0});
          auto m2 = cube.template subarray<2>({supp,supp,icomp,2*k  },{ntheta,nphi,0,0});
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          sharp_alm2map_spin(k, a1.Alms().data(), a2.Alms().data(), m1.vdata(),
            m2.vdata(), *ginfo, *ainfo, 0, nthreads);
          correct(m1,k);
          correct(m2,k);
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          }
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        }
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      // fill border regions
      for (size_t i=0; i<supp; ++i)
        for (size_t j=0, j2=nphi/2; j<nphi; ++j,++j2)
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          for (size_t k=0; k<cube.shape(3); ++k)
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            {
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            T fct = (((k+1)/2)&1) ? -1 : 1;
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            if (j2>=nphi) j2-=nphi;
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            for (size_t l=0; l<cube.shape(2); ++l)
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              {
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              cube.v(supp-1-i,j2+supp,l,k) = fct*cube(supp+1+i,j+supp,l,k);
              cube.v(supp+ntheta+i,j2+supp,l,k) = fct*cube(supp+ntheta-2-i,j+supp,l,k);
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              }
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            }
      for (size_t i=0; i<ntheta+2*supp; ++i)
        for (size_t j=0; j<supp; ++j)
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          for (size_t k=0; k<cube.shape(3); ++k)
            for (size_t l=0; l<cube.shape(2); ++l)
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            {
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            cube.v(i,j,l,k) = cube(i,j+nphi,l,k);
            cube.v(i,j+nphi+supp,l,k) = cube(i,j+supp,l,k);
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            }
      }

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    Interpolator(size_t lmax_, size_t kmax_, size_t ncomp_, T epsilon, T ofmin, int nthreads_)
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      : adjoint(true),
        lmax(lmax_),
        kmax(kmax_),
        nphi0(2*good_size_real(lmax+1)),
        ntheta0(nphi0/2+1),
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        nphi(std::max<size_t>(20,2*good_size_real(size_t((2*lmax+1)*ofmin/2.)))),
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        ntheta(nphi/2+1),
        nthreads(nthreads_),
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        ofactor(T(nphi)/(2*lmax+1)),
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        supp(ES_Kernel::get_supp(epsilon, ofactor)),
        kernel(supp, ofactor, nthreads),
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        ncomp(ncomp_),
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#ifdef SIMD_INTERPOL
        scube({ntheta+2*supp, nphi+2*supp, ncomp, (2*kmax+1+native_simd<T>::size()-1)/native_simd<T>::size()}),
        cube(reinterpret_cast<T *>(scube.vdata()),{ntheta+2*supp, nphi+2*supp, ncomp, ((2*kmax+1+native_simd<T>::size()-1)/native_simd<T>::size())*native_simd<T>::size()},true)
#else
        cube({ntheta+2*supp, nphi+2*supp, ncomp, 2*kmax+1})
#endif
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      {
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      MR_assert((ncomp==1)||(ncomp==3), "currently only 1 or 3 components allowed");
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      MR_assert((supp<=ntheta) && (supp<=nphi), "support too large!");
      cube.apply([](T &v){v=0.;});
      }

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#ifdef SIMD_INTERPOL
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    template<size_t nv, size_t nc> void interpol_help0(const T * DUCC0_RESTRICT wt,
      const T * DUCC0_RESTRICT wp, const native_simd<T> * DUCC0_RESTRICT p, size_t d0, size_t d1, const native_simd<T> * DUCC0_RESTRICT psiarr2, mav<T,2> &res, size_t idx) const
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      {
      array<native_simd<T>,nc> vv;
      for (auto &vvv:vv) vvv=0;
      for (size_t j=0; j<supp; ++j, p+=d0)
        {
        auto p1=p;
        T wtj = wt[j];
        for (size_t k=0; k<supp; ++k, p1+=d1)
          {
          array<native_simd<T>,nc> tvv;
          for (auto &vvv:tvv) vvv=0;
          for (size_t l=0; l<nv; ++l)
            for (size_t c=0; c<nc; ++c)
              tvv[c] += p1[l+nv*c]*psiarr2[l];
          for (size_t c=0; c<nc; ++c)
          vv[c] += (wtj*wp[k])*tvv[c];
          }
        }
      for (size_t c=0; c<nc; ++c)
        res.v(idx,c) = reduce(vv[c], std::plus<>());
      }
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    template<size_t nv, size_t nc> void deinterpol_help0(const T * DUCC0_RESTRICT wt,
      const T * DUCC0_RESTRICT wp, native_simd<T> * DUCC0_RESTRICT p, size_t d0, size_t d1, const native_simd<T> * DUCC0_RESTRICT psiarr2, const mav<T,2> &data, size_t idx) const
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      {
      array<native_simd<T>,nc> vv;
      for (size_t i=0; i<nc; ++i) vv[i] = data(idx,i);
      for (size_t j=0; j<supp; ++j, p+=d0)
        {
        auto p1=p;
        T wtj = wt[j];
        for (size_t k=0; k<supp; ++k, p1+=d1)
          {
          native_simd<T> wtjwpk = wtj*wp[k];
          for (size_t l=0; l<nv; ++l)
            {
            auto tmp = wtjwpk*psiarr2[l];
            for (size_t c=0; c<nc; ++c)
              p1[l+nv*c] += vv[c]*tmp;
            }
          }
        }
      }
#endif

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    void interpol (const mav<T,2> &ptg, mav<T,2> &res) const
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      {
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#ifdef SIMD_INTERPOL
      constexpr size_t vl=native_simd<T>::size();
      MR_assert(scube.stride(3)==1, "bad stride");
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      size_t nv=scube.shape(3);
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#endif
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      MR_assert(!adjoint, "cannot be called in adjoint mode");
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      MR_assert(ptg.shape(0)==res.shape(0), "dimension mismatch");
      MR_assert(ptg.shape(1)==3, "second dimension must have length 3");
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      MR_assert(res.shape(1)==ncomp, "# of components mismatch");
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      T delta = T(2)/supp;
      T xdtheta = T((ntheta-1)/pi),
        xdphi = T(nphi/(2*pi));
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      auto idx = getIdx(ptg);
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      execStatic(idx.size(), nthreads, 0, [&](Scheduler &sched)
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        {
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        vector<T> wt(supp), wp(supp);
        vector<T> psiarr(2*kmax+1);
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#ifdef SIMD_INTERPOL
        vector<native_simd<T>> psiarr2((2*kmax+1+vl-1)/vl);
        for (auto &v:psiarr2) v=0;
#endif
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        while (auto rng=sched.getNext()) for(auto ind=rng.lo; ind<rng.hi; ++ind)
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          {
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          size_t i=idx[ind];
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          T f0=T(0.5*supp+ptg(i,0)*xdtheta);
          size_t i0 = size_t(f0+T(1));
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          for (size_t t=0; t<supp; ++t)
            wt[t] = kernel((t+i0-f0)*delta - 1);
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          T f1=T(0.5)*supp+ptg(i,1)*xdphi;
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          size_t i1 = size_t(f1+1.);
          for (size_t t=0; t<supp; ++t)
            wp[t] = kernel((t+i1-f1)*delta - 1);
          psiarr[0]=1.;
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          double psi=ptg(i,2);
          double cpsi=cos(psi), spsi=sin(psi);
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          double cnpsi=cpsi, snpsi=spsi;
          for (size_t l=1; l<=kmax; ++l)
            {
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            psiarr[2*l-1]=T(cnpsi);
            psiarr[2*l]=T(snpsi);
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            const double tmp = snpsi*cpsi + cnpsi*spsi;
            cnpsi=cnpsi*cpsi - snpsi*spsi;
            snpsi=tmp;
            }
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#ifdef SIMD_INTERPOL
          memcpy(reinterpret_cast<T *>(psiarr2.data()), psiarr.data(),
            (2*kmax+1)*sizeof(T));
#endif
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          if (ncomp==1)
            {
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#ifndef SIMD_INTERPOL
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            T vv=0;
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            for (size_t j=0; j<supp; ++j)
              for (size_t k=0; k<supp; ++k)
                for (size_t l=0; l<2*kmax+1; ++l)
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                  vv += cube(i0+j,i1+k,0,l)*wt[j]*wp[k]*psiarr[l];
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            res.v(i,0) = vv;
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#else
            const native_simd<T> *p=&scube(i0,i1,0,0);
            ptrdiff_t d0 = scube.stride(0);
            ptrdiff_t d1 = scube.stride(1);
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            switch (nv)
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              {
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#ifdef SPECIAL_CASING
              case 1:
                interpol_help0<1,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 2:
                interpol_help0<2,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 3:
                interpol_help0<3,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 4:
                interpol_help0<4,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 5:
                interpol_help0<5,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 6:
                interpol_help0<6,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 7:
                interpol_help0<7,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
#endif
              default:
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                {
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                native_simd<T> vv=0.;
                for (size_t j=0; j<supp; ++j, p+=d0)
                  {
                  auto p1=p;
                  T wtj = wt[j];
                  for (size_t k=0; k<supp; ++k, p1+=d1)
                    {
                    native_simd<T> tvv=0;
                    for (size_t l=0; l<nv; ++l)
                      tvv += p1[l]*psiarr2[l];
                    vv += wtj*wp[k]*tvv;
                    }
                  }
                res.v(i,0) = reduce(vv, std::plus<>());
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                }
              }
#endif
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            }
          else // ncomp==3
            {
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#ifndef SIMD_INTERPOL
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            T v0=0., v1=0., v2=0.;
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            for (size_t j=0; j<supp; ++j)
              for (size_t k=0; k<supp; ++k)
                for (size_t l=0; l<2*kmax+1; ++l)
                  {
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                  auto tmp = wt[j]*wp[k]*psiarr[l];
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                  v0 += cube(i0+j,i1+k,0,l)*tmp;
                  v1 += cube(i0+j,i1+k,1,l)*tmp;
                  v2 += cube(i0+j,i1+k,2,l)*tmp;
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                  }
            res.v(i,0) = v0;
            res.v(i,1) = v1;
            res.v(i,2) = v2;
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#else
            const native_simd<T> *p=&scube(i0,i1,0,0);
            ptrdiff_t d0 = scube.stride(0);
            ptrdiff_t d1 = scube.stride(1);
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            switch (nv)
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              {
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#ifdef SPECIAL_CASING
              case 1:
                interpol_help0<1,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 2:
                interpol_help0<2,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 3:
                interpol_help0<3,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 4:
                interpol_help0<4,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 5:
                interpol_help0<5,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 6:
                interpol_help0<6,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
              case 7:
                interpol_help0<7,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), res, i);
                break;
#endif
              default:
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                {
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                ptrdiff_t d2 = scube.stride(2);
                native_simd<T> v0=0., v1=0., v2=0.;
                for (size_t j=0; j<supp; ++j, p+=d0)
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                  {
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                  auto p1=p;
                  T wtj = wt[j];
                  for (size_t k=0; k<supp; ++k, p1+=d1)
                    {
                    native_simd<T> wtjwpk = wtj*wp[k];
                    for (size_t l=0; l<nv; ++l)
                      {
                      auto tmp = wtjwpk*psiarr2[l];
                      v0 += p1[l]*tmp;
                      v1 += p1[l+d2]*tmp;
                      v2 += p1[l+2*d2]*tmp;
                      }
                    }
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                  }
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                res.v(i,0) = reduce(v0, std::plus<>());
                res.v(i,1) = reduce(v1, std::plus<>());
                res.v(i,2) = reduce(v2, std::plus<>());
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                }
              }
#endif
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            }
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          }
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        });
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      }
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    size_t support() const
      { return supp; }

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    void deinterpol (const mav<T,2> &ptg, const mav<T,2> &data)
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      {
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#ifdef SIMD_INTERPOL
      constexpr size_t vl=native_simd<T>::size();
      MR_assert(scube.stride(3)==1, "bad stride");
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      MR_assert(scube.stride(2)==ptrdiff_t(scube.shape(3)), "bad stride");
      size_t nv=scube.shape(3);
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#endif
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      MR_assert(adjoint, "can only be called in adjoint mode");
      MR_assert(ptg.shape(0)==data.shape(0), "dimension mismatch");
      MR_assert(ptg.shape(1)==3, "second dimension must have length 3");
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      MR_assert(data.shape(1)==ncomp, "# of components mismatch");
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      T delta = T(2)/supp;
      T xdtheta = T((ntheta-1)/pi),
        xdphi = T(nphi/(2*pi));
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      auto idx = getIdx(ptg);
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      constexpr size_t cellsize=16;
      size_t nct = ntheta/cellsize+5,
             ncp = nphi/cellsize+5;
      mav<std::mutex,2> locks({nct,ncp});

      execStatic(idx.size(), nthreads, 0, [&](Scheduler &sched)
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        {
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        size_t b_theta=99999999999999, b_phi=9999999999999999;
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        vector<T> wt(supp), wp(supp);
        vector<T> psiarr(2*kmax+1);
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#ifdef SIMD_INTERPOL
        vector<native_simd<T>> psiarr2((2*kmax+1+vl-1)/vl);
        for (auto &v:psiarr2) v=0;
#endif
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        while (auto rng=sched.getNext()) for(auto ind=rng.lo; ind<rng.hi; ++ind)
          {
          size_t i=idx[ind];
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          T f0=T(0.5)*supp+ptg(i,0)*xdtheta;
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          size_t i0 = size_t(f0+1.);
          for (size_t t=0; t<supp; ++t)
            wt[t] = kernel((t+i0-f0)*delta - 1);
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          T f1=T(0.5)*supp+ptg(i,1)*xdphi;
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          size_t i1 = size_t(f1+1.);
          for (size_t t=0; t<supp; ++t)
            wp[t] = kernel((t+i1-f1)*delta - 1);
          psiarr[0]=1.;
          double psi=ptg(i,2);
          double cpsi=cos(psi), spsi=sin(psi);
          double cnpsi=cpsi, snpsi=spsi;
          for (size_t l=1; l<=kmax; ++l)
            {
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            psiarr[2*l-1]=T(cnpsi);
            psiarr[2*l]=T(snpsi);
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            const double tmp = snpsi*cpsi + cnpsi*spsi;
            cnpsi=cnpsi*cpsi - snpsi*spsi;
            snpsi=tmp;
            }
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          size_t b_theta_new = i0/cellsize,
                 b_phi_new = i1/cellsize;
          if ((b_theta_new!=b_theta) || (b_phi_new!=b_phi))
            {
            if (b_theta<locks.shape(0))  // unlock
              {
              locks.v(b_theta,b_phi).unlock();
              locks.v(b_theta,b_phi+1).unlock();
              locks.v(b_theta+1,b_phi).unlock();
              locks.v(b_theta+1,b_phi+1).unlock();
              }
            b_theta = b_theta_new;
            b_phi = b_phi_new;
            locks.v(b_theta,b_phi).lock();
            locks.v(b_theta,b_phi+1).lock();
            locks.v(b_theta+1,b_phi).lock();
            locks.v(b_theta+1,b_phi+1).lock();
            }
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#ifdef SIMD_INTERPOL
          memcpy(reinterpret_cast<T *>(psiarr2.data()), psiarr.data(),
            (2*kmax+1)*sizeof(T));
#endif
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          if (ncomp==1)
            {
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#ifndef SIMD_INTERPOL
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            T val = data(i,0);
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            for (size_t j=0; j<supp; ++j)
              for (size_t k=0; k<supp; ++k)
                for (size_t l=0; l<2*kmax+1; ++l)
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                  cube.v(i0+j,i1+k,0,l) += val*wt[j]*wp[k]*psiarr[l];
#else
            native_simd<T> *p=&scube.v(i0,i1,0,0);
            ptrdiff_t d0 = scube.stride(0);
            ptrdiff_t d1 = scube.stride(1);
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            switch (nv)
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              {
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#ifdef SPECIAL_CASING
              case 1:
                deinterpol_help0<1,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 2:
                deinterpol_help0<2,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 3:
                deinterpol_help0<3,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 4:
                deinterpol_help0<4,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 5:
                deinterpol_help0<5,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 6:
                deinterpol_help0<6,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 7:
                deinterpol_help0<7,1>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
#endif
              default:
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                native_simd<T> val = data(i,0);
                for (size_t j=0; j<supp; ++j, p+=d0)
                  {
                  auto p1=p;
                  T wtj = wt[j];
                  for (size_t k=0; k<supp; ++k, p1+=d1)
                    {
                    native_simd<T> tv = wtj*wp[k]*val;
                    for (size_t l=0; l<nv; ++l)
                      p1[l] += tv*psiarr2[l];
                    } 
                  }
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                }
              }
#endif
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            }
          else // ncomp==3
            {
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#ifndef SIMD_INTERPOL
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            T v0=data(i,0), v1=data(i,1), v2=data(i,2);
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            for (size_t j=0; j<supp; ++j)
              for (size_t k=0; k<supp; ++k)
                {
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                T t0 = wt[j]*wp[k];
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                for (size_t l=0; l<2*kmax+1; ++l)
                  {
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                  T tmp = t0*psiarr[l];
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                  cube.v(i0+j,i1+k,0,l) += v0*tmp;
                  cube.v(i0+j,i1+k,1,l) += v1*tmp;
                  cube.v(i0+j,i1+k,2,l) += v2*tmp;
                  }
                }
#else
            native_simd<T> *p=&scube.v(i0,i1,0,0);
            ptrdiff_t d0 = scube.stride(0);
            ptrdiff_t d1 = scube.stride(1);
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            switch (nv)
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              {
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#ifdef SPECIAL_CASING
              case 1:
                deinterpol_help0<1,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 2:
                deinterpol_help0<2,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 3:
                deinterpol_help0<3,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 4:
                deinterpol_help0<4,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 5:
                deinterpol_help0<5,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 6:
                deinterpol_help0<6,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
              case 7:
                deinterpol_help0<7,3>(wt.data(), wp.data(), p, d0, d1, psiarr2.data(), data, i);
                break;
#endif
              default:
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                native_simd<T> v0=data(i,0), v1=data(i,1), v2=data(i,2);
                ptrdiff_t d2 = scube.stride(2);
                for (size_t j=0; j<supp; ++j, p+=d0)
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                  auto p1=p;
                  T wtj = wt[j];
                  for (size_t k=0; k<supp; ++k, p1+=d1)
                    {
                    native_simd<T> wtjwpk = wtj*wp[k];
                    for (size_t l=0; l<nv; ++l)
                      {
                      auto tmp = wtjwpk*psiarr2[l];
                      p1[l] += v0*tmp;
                      p1[l+d2] += v1*tmp;
                      p1[l+2*d2] += v2*tmp;
                      }
                    }
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                  }
                }
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              }
#endif
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            }
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          }
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        if (b_theta<locks.shape(0))  // unlock
          {
          locks.v(b_theta,b_phi).unlock();
          locks.v(b_theta,b_phi+1).unlock();
          locks.v(b_theta+1,b_phi).unlock();
          locks.v(b_theta+1,b_phi+1).unlock();
          }
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        });
      }
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    void getSlm (const vector<Alm<complex<T>>> &blm, vector<Alm<complex<T>>> &slm)
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      {
      MR_assert(adjoint, "can only be called in adjoint mode");
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      MR_assert((blm.size()==ncomp) || (ncomp==1), "incorrect number of beam a_lm sets");
      MR_assert((slm.size()==ncomp) || (ncomp==1), "incorrect number of sky a_lm sets");
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      Alm<complex<T>> a1(lmax, lmax), a2(lmax,lmax);
      auto ginfo = sharp_make_cc_geom_info(ntheta0,nphi0,0.,cube.stride(1),cube.stride(0));
      auto ainfo = sharp_make_triangular_alm_info(lmax,lmax,1);

      // move stuff from border regions onto the main grid
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      for (size_t i=0; i<cube.shape(0); ++i)
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        for (size_t j=0; j<supp; ++j)
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          for (size_t k=0; k<cube.shape(3); ++k)
            for (size_t l=0; l<cube.shape(2); ++l)
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              {
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              cube.v(i,j+nphi,l,k) += cube(i,j,l,k);
              cube.v(i,j+supp,l,k) += cube(i,j+nphi+supp,l,k);
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              }
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      for (size_t i=0; i<supp; ++i)
        for (size_t j=0, j2=nphi/2; j<nphi; ++j,++j2)
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          for (size_t k=0; k<cube.shape(3); ++k)
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            {
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            T fct = (((k+1)/2)&1) ? -1 : 1;
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            if (j2>=nphi) j2-=nphi;
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            for (size_t l=0; l<cube.shape(2); ++l)
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              {
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              cube.v(supp+1+i,j+supp,l,k) += fct*cube(supp-1-i,j2+supp,l,k);
              cube.v(supp+ntheta-2-i, j+supp,l,k) += fct*cube(supp+ntheta+i,j2+supp,l,k);
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              }
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            }
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      // special treatment for poles
      for (size_t j=0,j2=nphi/2; j<nphi/2; ++j,++j2)
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        for (size_t k=0; k<cube.shape(3); ++k)
          for (size_t l=0; l<cube.shape(2); ++l)
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            {
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            T fct = (((k+1)/2)&1) ? -1 : 1;
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            if (j2>=nphi) j2-=nphi;
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            T tval = (cube(supp,j+supp,l,k) + fct*cube(supp,j2+supp,l,k));
            cube.v(supp,j+supp,l,k) = tval;
            cube.v(supp,j2+supp,l,k) = fct*tval;
            tval = (cube(supp+ntheta-1,j+supp,l,k) + fct*cube(supp+ntheta-1,j2+supp,l,k));
            cube.v(supp+ntheta-1,j+supp,l,k) = tval;
            cube.v(supp+ntheta-1,j2+supp,l,k) = fct*tval;
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            }
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      vector<T>lnorm(lmax+1);
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      for (size_t i=0; i<=lmax; ++i)
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        lnorm[i]=T(std::sqrt(4*pi/(2*i+1.)));
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      for (size_t j=0; j<blm.size(); ++j)
        slm[j].SetToZero();

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      for (size_t icomp=0; icomp<ncomp; ++icomp)
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        {
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        bool separate = ncomp>1;
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        {
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        auto m1 = cube.template subarray<2>({supp,supp,icomp,0},{ntheta,nphi,0,0});
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        decorrect(m1,0);
        sharp_alm2map_adjoint(a1.Alms().vdata(), m1.data(), *ginfo, *ainfo, 0, nthreads);
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        for (size_t m=0; m<=lmax; ++m)
          for (size_t l=m; l<=lmax; ++l)
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            if (separate)
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              slm[icomp](l,m) += conj(a1(l,m))*blm[icomp](l,0).real()*lnorm[l];
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            else
              for (size_t j=0; j<blm.size(); ++j)
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                slm[j](l,m) += conj(a1(l,m))*blm[j](l,0).real()*lnorm[l];
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        }
        for (size_t k=1; k<=kmax; ++k)
          {
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          auto m1 = cube.template subarray<2>({supp,supp,icomp,2*k-1},{ntheta,nphi,0,0});
          auto m2 = cube.template subarray<2>({supp,supp,icomp,2*k  },{ntheta,nphi,0,0});
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          decorrect(m1,k);
          decorrect(m2,k);

          sharp_alm2map_spin_adjoint(k, a1.Alms().vdata(), a2.Alms().vdata(), m1.data(),
            m2.data(), *ginfo, *ainfo, 0, nthreads);
          for (size_t m=0; m<=lmax; ++m)
            for (size_t l=m; l<=lmax; ++l)
              if (l>=k)
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                {
                if (separate)
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                  {
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                  auto tmp = conj(blm[icomp](l,k))*(-2*lnorm[l]);
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                  slm[icomp](l,m) += conj(a1(l,m))*tmp.real();
                  slm[icomp](l,m) -= conj(a2(l,m))*tmp.imag();
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                  }
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                else
                  for (size_t j=0; j<blm.size(); ++j)
                    {
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                    auto tmp = conj(blm[j](l,k))*(-2*lnorm[l]);
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                    slm[j](l,m) += conj(a1(l,m))*tmp.real();
                    slm[j](l,m) -= conj(a2(l,m))*tmp.imag();
                    }
                }
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          }
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        }
      }
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  };

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double epsilon_guess(size_t support, double ofactor)
  { return std::sqrt(12.)*std::exp(-(support*ofactor)); }

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}
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using detail_totalconvolve::Interpolator;
using detail_totalconvolve::epsilon_guess;
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}
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#endif