m_basic_types.cc

Go to the documentation of this file.

/* Copyright (C) 2002-2012
   Patrick Eriksson <Patrick.Eriksson@chalmers.se>
   Stefan Buehler   <sbuehler@ltu.se>
                            
   This program 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, or (at your option) any
   later version.

   This program 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 program; if not, write to the Free Software
   Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
   USA. */

/*===========================================================================
  ===  File description
  ===========================================================================*/

/*===========================================================================
  === External declarations
  ===========================================================================*/

#include <cmath>
#include "array.h"
#include "arts.h"
#include "energylevelmap.h"
#include "exceptions.h"
#include "gridded_fields.h"
#include "lin_alg.h"
#include "logic.h"
#include "math_funcs.h"
#include "matpackI.h"
#include "matpackII.h"
#include "matpackIII.h"
#include "matpackIV.h"
#include "matpackV.h"
#include "matpackVI.h"
#include "matpackVII.h"
#include "messages.h"
#include "mystring.h"
#include "optproperties.h"
#include "quantum.h"
#include "sorting.h"

/*===========================================================================
  === The functions (in alphabetical order)
  ===========================================================================*/

/* Workspace method: Doxygen documentation will be auto-generated */
void ArrayOfIndexSet(ArrayOfIndex& aoi,
                     const ArrayOfIndex& values,
                     const Verbosity&) {
  aoi = values;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void ArrayOfIndexSetConstant(ArrayOfIndex& aoi,
                             const Index& nelem,
                             const Index& value,
                             const Verbosity&) {
  aoi.resize(nelem);
  for (Index i = 0; i < nelem; i++) aoi[i] = value;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void ArrayOfIndexLinSpace(ArrayOfIndex& x,
                          const Index& start,
                          const Index& stop,
                          const Index& step,
                          const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  Index n = (Index)floor((stop - start) / step) + 1;
  if (n < 1) n = 1;

  x.resize(n);

  for (Index i = 0; i < n; i++) x[i] = start + i * step;

  out2 << "  Creating a linearly spaced ArrayOfIndex.\n";
  out3 << "        length : " << x.nelem() << "\n";
  out3 << "   first value : " << x[0] << "\n";

  if (x.nelem() > 1) {
    out3 << "     step size : " << x[1] - x[0] << "\n";
    out3 << "    last value : " << x[x.nelem() - 1] << "\n";
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void ArrayOfStringSet(ArrayOfString& sa,
                      const ArrayOfString& sa2,
                      const Verbosity&) {
  sa.resize(sa2.nelem());
  sa = sa2;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void FlagOff(Index& x, const Verbosity&) { x = 0; }

/* Workspace method: Doxygen documentation will be auto-generated */
void FlagOn(Index& x, const Verbosity&) { x = 1; }

/* Workspace method: Doxygen documentation will be auto-generated */
void IndexAdd(Index& out,
              const Index& in,
              const Index& value,
              const Verbosity&) {
  out = value + in;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void IndexSet(Index& x, const Index& value, const Verbosity&) { x = value; }

/* Workspace method: Doxygen documentation will be auto-generated */
void IndexStepDown(Index& xout, const Index& xin, const Verbosity&) {
  xout = xin - 1;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void IndexStepUp(Index& xout, const Index& xin, const Verbosity&) {
  xout = xin + 1;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixAddScalar(Matrix& out,
                     const Matrix& in,
                     const Numeric& value,
                     const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just add the scalar value.
    out += value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then add the scalar value.
    out.resize(in.nrows(), in.ncols());
    out = in;
    out += value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixCopySparse(Matrix& out, const Sparse& in, const Verbosity&) {
  // There is probably a more efficient way to do this
  out.resize(in.nrows(), in.ncols());
  for (Index r = 0; r < in.nrows(); r++) {
    for (Index c = 0; c < in.ncols(); c++) {
      out(r, c) = in(r, c);
    }
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixExtractFromTensor3(
    // WS Generic Output:
    Matrix& m,
    // WS Input:
    // WS Generic Input:
    const Tensor3& t3,
    const Index& index,
    // Control Parameters:
    const String& direction,
    const Verbosity&) {
  if (direction == "page") {
    if (index >= t3.npages()) {
      ostringstream os;
      os << "The index " << index
         << " is outside the page range of the Matrix.";
      throw runtime_error(os.str());
    }

    m.resize(t3.nrows(), t3.ncols());
    m = t3(index, joker, joker);
  } else if (direction == "row") {
    if (index >= t3.nrows()) {
      ostringstream os;
      os << "The index " << index << " is outside the row range of the Matrix.";
      throw runtime_error(os.str());
    }

    m.resize(t3.npages(), t3.ncols());
    m = t3(joker, index, joker);
  } else if (direction == "column") {
    if (index >= t3.ncols()) {
      ostringstream os;
      os << "The index " << index
         << " is outside the column range of the Matrix.";
      throw runtime_error(os.str());
    }

    m.resize(t3.npages(), t3.nrows());
    m = t3(joker, joker, index);
  } else {
    ostringstream os;
    os << "Keyword *direction* must be either *page* or *row* or *column*,"
       << "but you gave: " << direction << ".";
    throw runtime_error(os.str());
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixMatrixMultiply(  // WS Generic Output:
    Matrix& Y,
    // WS Generic Input:
    const Matrix& M,
    const Matrix& X,
    const Verbosity&) {
  // Check that dimensions are right, M.ncols() must match X.nrows():
  if (M.ncols() != X.nrows()) {
    ostringstream os;
    os << "Matrix dimensions must be consistent!\n"
       << "Matrix1.ncols() = " << M.ncols() << "\n"
       << "Matrix2.nrows() = " << X.nrows();
    throw runtime_error(os.str());
  }

  // Temporary for the result:
  Matrix dummy(M.nrows(), X.ncols());

  mult(dummy, M, X);

  // Copy result to Y:

  Y.resize(dummy.nrows(), dummy.ncols());

  Y = dummy;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixVectorMultiply(  // WS Generic Output:
    Vector& Y,
    // WS Generic Input:
    const Matrix& M,
    const Vector& X,
    const Verbosity&) {
  // Check that dimensions are right, M.ncols() must match X.nrows():
  if (M.ncols() != X.nelem()) {
    ostringstream os;
    os << "Matrix and vector dimensions must be consistent!\n"
       << "Matrix.ncols() = " << M.ncols() << "\n"
       << "Vector.nelem() = " << X.nelem();
    throw runtime_error(os.str());
  }

  // Temporary for the result:
  Vector dummy(M.nrows());

  mult(dummy, M, X);

  // Copy result to Y:
  Y = dummy;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Matrix1ColFromVector(  // WS Generic Output:
    Matrix& m,
    // WS Generic Input:
    const Vector& v,
    const Verbosity&) {
  const Index nv = v.nelem();

  m.resize(nv, 1);
  m(joker, 0) = v;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Matrix2ColFromVectors(  // WS Generic Output:
    Matrix& m,
    // WS Generic Input:
    const Vector& v1,
    const Vector& v2,
    const Verbosity&) {
  const Index nv = v1.nelem();

  if (v2.nelem() != nv)
    throw runtime_error("Vectors must be of the same size.");

  m.resize(nv, 2);
  m(joker, 0) = v1;
  m(joker, 1) = v2;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Matrix3ColFromVectors(  // WS Generic Output:
    Matrix& m,
    // WS Generic Input:
    const Vector& v1,
    const Vector& v2,
    const Vector& v3,
    const Verbosity&) {
  const Index nv = v1.nelem();

  if (v3.nelem() != nv || v2.nelem() != nv)
    throw runtime_error("Vectors must be of the same size.");

  m.resize(nv, 3);
  m(joker, 0) = v1;
  m(joker, 1) = v2;
  m(joker, 2) = v3;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Matrix1RowFromVector(  // WS Generic Output:
    Matrix& m,
    // WS Generic Input:
    const Vector& v,
    const Verbosity&) {
  const Index nv = v.nelem();

  m.resize(1, nv);
  m(0, joker) = v;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Matrix2RowFromVectors(  // WS Generic Output:
    Matrix& m,
    // WS Generic Input:
    const Vector& v1,
    const Vector& v2,
    const Verbosity&) {
  const Index nv = v1.nelem();

  if (v2.nelem() != nv)
    throw runtime_error("Vectors must be of the same size.");

  m.resize(2, nv);
  m(0, joker) = v1;
  m(1, joker) = v2;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Matrix3RowFromVectors(  // WS Generic Output:
    Matrix& m,
    // WS Generic Input:
    const Vector& v1,
    const Vector& v2,
    const Vector& v3,
    const Verbosity&) {
  const Index nv = v1.nelem();

  if (v3.nelem() != nv || v2.nelem() != nv)
    throw runtime_error("Vectors must be of the same size.");

  m.resize(3, nv);
  m(0, joker) = v1;
  m(1, joker) = v2;
  m(2, joker) = v3;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixIdentity(Matrix& out,
                    const Index& n,
                    const Numeric& value,
                    const Verbosity&) {
  out.resize(n, n);
  id_mat(out);
  if (value != 1) {
    out *= value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixScale(Matrix& out,
                 const Matrix& in,
                 const Numeric& value,
                 const Verbosity&) {
  // Note that in and out can be the same matrix
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out *= value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.nrows(), in.ncols());
    out = in;
    out *= value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixSet(Matrix& x, const Matrix& values, const Verbosity&) {
  x = values;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void MatrixSetConstant(Matrix& x,
                       const Index& nrows,
                       const Index& ncols,
                       const Numeric& value,
                       const Verbosity&) {
  x.resize(nrows, ncols);
  x = value;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void NumericAdd(Numeric& out,
                const Numeric& in,
                const Numeric& value,
                const Verbosity&) {
  out = value + in;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void NumericFromVector(Numeric& out,
                       const Vector& in,
                       const String& op,
                       const Verbosity&) {
  if (op == "first")
    out = in[0];
  else if (op == "last")
    out = in[in.nelem() - 1];
  else if (op == "max")
    out = max(in);
  else if (op == "min")
    out = min(in);
  else if (op == "mean")
    out = mean(in);
  else {
    ostringstream os;
    os << "Your choice, *op* = \"" << op << "\", is not recognised.\n"
       << "Valid options are: \"first\", \"last\", \"max\", \"min\" and \"mean\".";
    throw runtime_error(os.str());
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void NumericInvScale(Numeric& out,
                     const Numeric& in,
                     const Numeric& value,
                     const Verbosity&) {
  out = in / value;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void NumericScale(Numeric& out,
                  const Numeric& in,
                  const Numeric& value,
                  const Verbosity&) {
  out = value * in;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void NumericSet(Numeric& x, const Numeric& value, const Verbosity&) {
  x = value;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void QuantumIdentifierSet(QuantumIdentifier& x,
                          const String& value,
                          const Verbosity&) {
  x = QuantumIdentifier(value);
}

/* Workspace method: Doxygen documentation will be auto-generated */
void ArrayOfQuantumIdentifierSet(ArrayOfQuantumIdentifier& x,
                                 const ArrayOfString& values,
                                 const Verbosity& verbosity) {
  x.resize(values.nelem());
  for (Index i = 0; i < x.nelem(); i++)
    QuantumIdentifierSet(x[i], values[i], verbosity);
}

/* Workspace method: Doxygen documentation will be auto-generated */
void RationalAdd(Rational& out,
                 const Rational& in,
                 const Rational& value,
                 const Verbosity&) {
  out = value + in;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void RationalInvScale(Rational& out,
                      const Rational& in,
                      const Rational& value,
                      const Verbosity&) {
  out = in / value;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void RationalScale(Rational& out,
                   const Rational& in,
                   const Rational& value,
                   const Verbosity&) {
  out = value * in;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void RationalSet(Rational& x,
                 const Index& numerator,
                 const Index& denominator,
                 const Verbosity&) {
  x = Rational(numerator, denominator);
}

/* Workspace method: Doxygen documentation will be auto-generated */
void SparseSparseMultiply(  // WS Generic Output:
    Sparse& Y,
    // WS Generic Input:
    const Sparse& M,
    const Sparse& X,
    const Verbosity&) {
  // Check that dimensions are right, M.ncols() must match X.nrows():
  if (M.ncols() != X.nrows()) {
    ostringstream os;
    os << "Matrix dimensions must be consistent!\n"
       << "Matrix1.ncols() = " << M.ncols() << "\n"
       << "Matrix2.nrows() = " << X.nrows();
    throw runtime_error(os.str());
  }

  // Temporary for the result:
  Sparse dummy(M.nrows(), X.ncols());

  mult(dummy, M, X);

  // Copy result to Y:
  Y = dummy;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void SparseMatrixIdentity(Sparse& X,
                          const Index& n,
                          const Numeric& value,
                          const Verbosity&) {
  X.resize(n, n);
  id_mat(X);

  if (value != 1.0) X *= value;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void DiagonalMatrix(Matrix& X, const Vector& diag, const Verbosity& /*v*/) {
  Index n = diag.nelem();
  X.resize(n, n);
  X = 0.0;

  for (Index i = 0; i < n; ++i) {
    X(i, i) = diag[i];
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void DiagonalMatrix(Sparse& X, const Vector& diag, const Verbosity& /*v*/) {
  Index n = diag.nelem();
  X.resize(n, n);

  ArrayOfIndex indices(n);

  for (Index i = 0; i < n; ++i) {
    indices[i] = i;
  }

  X.insert_elements(n, indices, indices, diag);
}

/* Workspace method: Doxygen documentation will be auto-generated */
void StringSet(String& s, const String& s2, const Verbosity&) { s = s2; }

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor3AddScalar(Tensor3& out,
                      const Tensor3& in,
                      const Numeric& value,
                      const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out += value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.npages(), in.nrows(), in.ncols());
    out = in;
    out += value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor3Scale(Tensor3& out,
                  const Tensor3& in,
                  const Numeric& value,
                  const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out *= value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.npages(), in.nrows(), in.ncols());
    out = in;
    out *= value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor3SetConstant(Tensor3& x,
                        const Index& npages,
                        const Index& nrows,
                        const Index& ncols,
                        const Numeric& value,
                        const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  x.resize(npages, nrows, ncols);
  x = value;

  out2 << "  Tensor3 = " << value << "\n";
  out3 << "            npages : " << npages << "\n";
  out3 << "             nrows : " << nrows << "\n";
  out3 << "             ncols : " << ncols << "\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor4AddScalar(Tensor4& out,
                      const Tensor4& in,
                      const Numeric& value,
                      const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out += value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.nbooks(), in.npages(), in.nrows(), in.ncols());
    out = in;
    out += value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor4Scale(Tensor4& out,
                  const Tensor4& in,
                  const Numeric& value,
                  const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out *= value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.nbooks(), in.npages(), in.nrows(), in.ncols());
    out = in;
    out *= value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor4SetConstant(Tensor4& x,
                        const Index& nbooks,
                        const Index& npages,
                        const Index& nrows,
                        const Index& ncols,
                        const Numeric& value,
                        const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  x.resize(nbooks, npages, nrows, ncols);
  x = value;

  out2 << "  Tensor4 = " << value << "\n";
  out3 << "            nbooks : " << nbooks << "\n";
  out3 << "            npages : " << npages << "\n";
  out3 << "             nrows : " << nrows << "\n";
  out3 << "             ncols : " << ncols << "\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor5Scale(Tensor5& out,
                  const Tensor5& in,
                  const Numeric& value,
                  const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out *= value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.nshelves(), in.nbooks(), in.npages(), in.nrows(), in.ncols());
    out = in;
    out *= value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor5SetConstant(Tensor5& x,
                        const Index& nshelves,
                        const Index& nbooks,
                        const Index& npages,
                        const Index& nrows,
                        const Index& ncols,
                        const Numeric& value,
                        const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  x.resize(nshelves, nbooks, npages, nrows, ncols);
  x = value;

  out2 << "  Tensor5 = " << value << "\n";
  out3 << "          nshelves : " << nshelves << "\n";
  out3 << "            nbooks : " << nbooks << "\n";
  out3 << "            npages : " << npages << "\n";
  out3 << "             nrows : " << nrows << "\n";
  out3 << "             ncols : " << ncols << "\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor6Scale(Tensor6& out,
                  const Tensor6& in,
                  const Numeric& value,
                  const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out *= value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.nvitrines(),
               in.nshelves(),
               in.nbooks(),
               in.npages(),
               in.nrows(),
               in.ncols());
    out = in;
    out *= value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor6SetConstant(Tensor6& x,
                        const Index& nvitrines,
                        const Index& nshelves,
                        const Index& nbooks,
                        const Index& npages,
                        const Index& nrows,
                        const Index& ncols,
                        const Numeric& value,
                        const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  x.resize(nvitrines, nshelves, nbooks, npages, nrows, ncols);
  x = value;

  out2 << "  Tensor6 = " << value << "\n";
  out3 << "         nvitrines : " << nvitrines << "\n";
  out3 << "          nshelves : " << nshelves << "\n";
  out3 << "            nbooks : " << nbooks << "\n";
  out3 << "            npages : " << npages << "\n";
  out3 << "             nrows : " << nrows << "\n";
  out3 << "             ncols : " << ncols << "\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor7Scale(Tensor7& out,
                  const Tensor7& in,
                  const Numeric& value,
                  const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out *= value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.nlibraries(),
               in.nvitrines(),
               in.nshelves(),
               in.nbooks(),
               in.npages(),
               in.nrows(),
               in.ncols());
    out = in;
    out *= value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor7SetConstant(Tensor7& x,
                        const Index& nlibraries,
                        const Index& nvitrines,
                        const Index& nshelves,
                        const Index& nbooks,
                        const Index& npages,
                        const Index& nrows,
                        const Index& ncols,
                        const Numeric& value,
                        const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  x.resize(nlibraries, nvitrines, nshelves, nbooks, npages, nrows, ncols);
  x = value;

  out2 << "  Tensor7 = " << value << "\n";
  out3 << "        nlibraries : " << nlibraries << "\n";
  out3 << "         nvitrines : " << nvitrines << "\n";
  out3 << "          nshelves : " << nshelves << "\n";
  out3 << "            nbooks : " << nbooks << "\n";
  out3 << "            npages : " << npages << "\n";
  out3 << "             nrows : " << nrows << "\n";
  out3 << "             ncols : " << ncols << "\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorAddScalar(Vector& out,
                     const Vector& in,
                     const Numeric& value,
                     const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just add the scalar value.
    out += value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then add the scalar value.
    out.resize(in.nelem());
    out = in;
    out += value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorAddVector(Vector& c,
                     const Vector& a,
                     const Vector& b,
                     const Verbosity&) {
  // If anything is changed in the method, implement the same change in
  // VectorSubtractVector

  // b has length 1. Here we easily can avoid just adding 0.
  if (b.nelem() == 1) {
    // a and c are the same WSV
    if (&c == &a) {
      if (b[0] != 0) {
        c += b[0];
      }
    } else {
      c = a;
      if (b[0] != 0) {
        c += b[0];
      }
    }
  }

  // b is a vector
  else if (b.nelem() == a.nelem()) {
    // a and c are the same WSV
    if (&c == &a) {
      c += b;
    } else {
      c = a;
      c += b;
    }
  }

  else
    throw runtime_error(
        "The vector *b* must have length 1 or match *a* in length.");
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorSubtractVector(Vector& c,
                          const Vector& a,
                          const Vector& b,
                          const Verbosity&) {
  // If anything is changed in the method, implement the same change in
  // VectorAddVector

  // b has length 1. Here we easily can avoid just adding 0.
  if (b.nelem() == 1) {
    // a and c are the same WSV
    if (&c == &a) {
      if (b[0] != 0) {
        c -= b[0];
      }
    } else {
      c = a;
      if (b[0] != 0) {
        c -= b[0];
      }
    }
  }

  // b is a vector
  else if (b.nelem() == a.nelem()) {
    // a and c are the same WSV
    if (&c == &a) {
      c -= b;
    } else {
      c = a;
      c -= b;
    }
  }

  else
    throw runtime_error(
        "The vector *b* must have length 1 or match *a* in length.");
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorCrop(Vector& out,
                const Vector& in,
                const Numeric& min_value,
                const Numeric& max_value,
                const Verbosity&) {
  const Index nin = in.nelem();

  Index nout = 0;
  //
  for (Index i = 0; i < nin; i++) {
    if (in[i] >= min_value && in[i] <= max_value) {
      nout += 1;
    }
  }

  // Make copy if in-vector, as it also can be the out one
  Vector c(in);

  out.resize(nout);

  nout = 0;
  //
  for (Index i = 0; i < nin; i++) {
    if (c[i] >= min_value && c[i] <= max_value) {
      out[nout] = c[i];
      nout += 1;
    }
  }
}

/* Workspace method: Doxygen documentation will be auto-generated 

   2004-09-15 Patrick Eriksson

   Added keyword to control if row or column is extracted.

   2007-07-24 Stefan Buehler */
void VectorExtractFromMatrix(
    // WS Generic Output:
    Vector& v,
    // WS Input:
    // WS Generic Input:
    const Matrix& m,
    const Index& index,
    // Control Parameters:
    const String& direction,
    const Verbosity&) {
  if (direction == "row") {
    if (index >= m.nrows()) {
      ostringstream os;
      os << "The index " << index << " is outside the row range of the Matrix.";
      throw runtime_error(os.str());
    }

    v.resize(m.ncols());
    v = m(index, joker);
  } else if (direction == "column") {
    if (index >= m.ncols()) {
      ostringstream os;
      os << "The index " << index
         << " is outside the column range of the Matrix.";
      throw runtime_error(os.str());
    }

    v.resize(m.nrows());
    v = m(joker, index);
  } else {
    ostringstream os;
    os << "Keyword *direction* must be either *row* or *column*,"
       << "but you gave: " << direction << ".";
    throw runtime_error(os.str());
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Tensor3ExtractFromTensor4(
    // WS Generic Output:
    Tensor3& t3,
    // WS Input:
    // WS Generic Input:
    const Tensor4& t4,
    const Index& index,
    // Control Parameters:
    const String& direction,
    const Verbosity&) {
  if (direction == "book") {
    if (index >= t4.nbooks()) {
      ostringstream os;
      os << "The index " << index
         << " is outside the book range of the Tensor4.";
      throw runtime_error(os.str());
    }

    t3.resize(t4.npages(), t4.nrows(), t4.ncols());
    t3 = t4(index, joker, joker, joker);
  } else if (direction == "page") {
    if (index >= t4.npages()) {
      ostringstream os;
      os << "The index " << index
         << " is outside the pages range of the Tensor4.";
      throw runtime_error(os.str());
    }

    t3.resize(t4.nbooks(), t4.nrows(), t4.ncols());
    t3 = t4(joker, index, joker, joker);
  } else if (direction == "row") {
    if (index >= t4.nrows()) {
      ostringstream os;
      os << "The index " << index
         << " is outside the row range of the Tensor4.";
      throw runtime_error(os.str());
    }

    t3.resize(t4.npages(), t4.nbooks(), t4.ncols());
    t3 = t4(joker, joker, index, joker);
  } else if (direction == "column") {
    if (index >= t4.ncols()) {
      ostringstream os;
      os << "The index " << index
         << " is outside the column range of the Tensor4.";
      throw runtime_error(os.str());
    }

    t3.resize(t4.npages(), t4.nbooks(), t4.nrows());
    t3 = t4(joker, joker, joker, index);
  } else {
    ostringstream os;
    os << "Keyword *direction* must be either *page*, *book*, *row* or *column*,"
       << "but you gave: " << direction << ".";
    throw runtime_error(os.str());
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorFlip(Vector& out, const Vector& in, const Verbosity&) {
  const Index n = in.nelem();

  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. A copy is needed
    const Vector v = in;
    for (Index i = 0; i < n; i++) out[i] = v[n - 1 - i];
  } else {
    // Out and in are different.
    out.resize(n);
    for (Index i = 0; i < n; i++) out[i] = in[n - 1 - i];
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorInsertGridPoints(  // WS Generic Output:
    Vector& og,               // Output grid
    // WS Generic Input:
    const Vector& ingrid,  // Input grid
    const Vector& points,  // Points to insert
    const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  // First make duplicates of the input vectors, in case one of them
  // happens to be identical to the output vector. Also, we can fool
  // around with these, if we want.
  Vector ig(ingrid);
  Vector p(points);

  // Check how the input grid is sorted. If the grid is sorted in
  // descending order, we simply turn it around. (But don't
  // forget to turn it back at the end!)
  Index ascending;  // 1=ascending, 0=descending
  if (is_increasing(ig)) {
    ascending = 1;
  } else if (is_decreasing(ig)) {
    ascending = 0;

    // Turn grid round.

    // Copy ig to dummy vector in reverse order:
    const Vector dummy = ig[Range(ig.nelem() - 1, ig.nelem(), -1)];

    // Copy dummy back to ig vector:
    ig = dummy;
  } else {
    ostringstream os;
    os << "The input Vector must be either\n"
       << "strictly increasing or strictly decreasing,\n"
       << "but this is not the case.\n";
    os << "The vector contains:\n" << ig;
    throw runtime_error(os.str());
  }

  // Sort also the vector of points to insert in increasing order:
  {
    ArrayOfIndex si;            // Sorted indices
    get_sorted_indexes(si, p);  // Get sorted p indices
    const Vector dummy = p;     // Copy p to dummy
    // Copy back dummy to p in right order:
    for (Index j = 0; j < p.nelem(); j++) p[j] = dummy[si[j]];
  }

  // The idea is to step through both ig and p, and build up the
  // output in a temporary array.
  Array<Numeric> x;
  Index iig = 0, ip = 0;  // indices to ig and p
  Index sk = 0;           // skip count
  while (iig < ig.nelem() && ip < p.nelem()) {
    if (p[ip] < ig[iig]) {
      x.push_back(p[ip]);
      ++ip;
    } else if (p[ip] > ig[iig]) {
      x.push_back(ig[iig]);
      ++iig;
    } else {
      out3 << "  Skipping point " << p[ip] << ", which is already "
           << "in the original grid.\n";
      ++ip;
      ++sk;
    }
  }

  out2 << "  " << sk << " points skipped.\n";

  // Add remaining points of either p or ig, depending on which is
  // longer:
  if (ip == p.nelem()) {
    // p has reached its end.
    while (iig < ig.nelem()) {
      x.push_back(ig[iig]);
      ++iig;
    }
  } else if (iig == ig.nelem()) {
    // ig has reached its end
    while (ip < p.nelem()) {
      x.push_back(p[ip]);
      ++ip;
    }
  } else {
    // We should never be here.
    assert(false);
    arts_exit();
  }

  // Ok, x should now contain the new grid.

  og.resize(x.nelem());

  // Copy to result vector, turn around if necessary.
  if (ascending)
    for (Index i = 0; i < x.nelem(); ++i) og[i] = x[i];  // Just copy.
  else
    for (Index i = 0; i < x.nelem(); ++i)
      og[i] = x[x.nelem() - 1 - i];  // Copy in reverse order.
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorLinSpace(Vector& x,
                    const Numeric& start,
                    const Numeric& stop,
                    const Numeric& step,
                    const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  linspace(x, start, stop, step);

  out2 << "  Creating a linearly spaced vector.\n";
  out3 << "        length : " << x.nelem() << "\n";
  out3 << "   first value : " << x[0] << "\n";

  if (x.nelem() > 1) {
    out3 << "          step size : " << x[1] - x[0] << "\n";
    out3 << "         last value : " << x[x.nelem() - 1] << "\n";
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorLogSpace(Vector& x,
                    const Numeric& start,
                    const Numeric& stop,
                    const Numeric& step,
                    const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  linspace(x, log(start), log(stop), step);
  transform(x, exp, x);

  out2 << "  Creating a logarithmically spaced vector.\n";
  out3 << "        length : " << x.nelem() << "\n";
  out3 << "   first value : " << x[0] << "\n";

  if (x.nelem() > 1) {
    out3 << "          step size : " << x[1] - x[0] << "\n";
    out3 << "         last value : " << x[x.nelem() - 1] << "\n";
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorMatrixMultiply(  // WS Generic Output:
    Vector& y,
    // WS Generic Input:
    const Matrix& M,
    const Vector& x,
    const Verbosity&) {
  // Check that dimensions are right, x must match columns of M:
  if (M.ncols() != x.nelem()) {
    ostringstream os;
    os << "Matrix and vector dimensions must be consistent!\n"
       << "Matrix.ncols() = " << M.ncols() << "\n"
       << "Vector.nelem() = " << x.nelem();
    throw runtime_error(os.str());
  }

  // Temporary for the result:
  Vector dummy(M.nrows());

  mult(dummy, M, x);

  y.resize(dummy.nelem());

  y = dummy;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorNLinSpace(Vector& x,
                     const Index& n,
                     const Numeric& start,
                     const Numeric& stop,
                     const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  if (n < 2) throw runtime_error("The number of points must be > 1.");
  nlinspace(x, start, stop, n);

  out2 << "  Creating a linearly spaced vector.\n";
  out3 << "            length : " << n << "\n";
  out3 << "       first value : " << x[0] << "\n";

  if (x.nelem() > 1) {
    out3 << "         step size : " << x[1] - x[0] << "\n";
    out3 << "        last value : " << x[x.nelem() - 1] << "\n";
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorNLogSpace(Vector& x,
                     const Index& n,
                     const Numeric& start,
                     const Numeric& stop,
                     const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  if (n < 2) throw runtime_error("The number of points must be > 1.");
  if ((start <= 0) || (stop <= 0))
    throw runtime_error("Only positive numbers are allowed.");

  nlogspace(x, start, stop, n);

  out2 << "  Creating a logarithmically spaced vector.\n";
  out3 << "            length : " << n << "\n";
  out3 << "       first value : " << x[0] << "\n";

  if (x.nelem() > 1)
    out3 << "        last value : " << x[x.nelem() - 1] << "\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorReshapeMatrix(Vector& v,
                         const Matrix& m,
                         const String& direction,
                         const Verbosity&) {
  const Index nrows = m.nrows();
  const Index ncols = m.ncols();

  v.resize(nrows * ncols);

  Index iv = 0;

  if (direction == "column") {
    for (Index col = 0; col < ncols; col++) {
      for (Index row = 0; row < nrows; row++) {
        v[iv] = m(row, col);
        iv++;
      }
    }
  } else if (direction == "row") {
    for (Index row = 0; row < nrows; row++) {
      for (Index col = 0; col < ncols; col++) {
        v[iv] = m(row, col);
        iv++;
      }
    }
  } else {
    ostringstream os;
    os << "Keyword *direction* must be either *row* or *column*,"
       << "but you gave: " << direction << ".";
    throw runtime_error(os.str());
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorScale(Vector& out,
                 const Vector& in,
                 const Numeric& value,
                 const Verbosity&) {
  // Note that in and out can be the same vector
  if (&out == &in) {
    // Out and in are the same. Just multiply by the scalar value.
    out *= value;
  } else {
    // Out and in are different. We first have to copy in to out,
    // then multiply by the scalar value.
    out.resize(in.nelem());
    out = in;
    out *= value;
  }
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorSetConstant(Vector& x,
                       const Index& n,
                       const Numeric& value,
                       const Verbosity& verbosity) {
  CREATE_OUT2;
  CREATE_OUT3;

  x.resize(n);
  x = value;

  out2 << "  Creating a constant vector.\n";
  out3 << "            length : " << n << "\n";
  out3 << "             value : " << value << "\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorSet(Vector& x, const Vector& values, const Verbosity&) {
  x = values;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void VectorVectorMultiply(  // WS Generic Output:
    Vector& y,
    // WS Generic Input:
    const Vector& x1,
    const Vector& x2,
    const Verbosity&) {
  // Check that dimensions are right, x1 must match x2:
  if (x1.nelem() != x2.nelem()) {
    ostringstream os;
    os << "Both vectors have to have identical dimensions!\n"
       << "Vector1.nelem() = " << x1.nelem() << "\n"
       << "Vector2.nelem() = " << x2.nelem();
    throw runtime_error(os.str());
  }

  Vector dummy;
  dummy.resize(x1.nelem());

  for (Index i = 0; i < x1.nelem(); i++) dummy[i] = x1[i] * x2[i];

  y = dummy;
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const Numeric& var1,
             const Numeric& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  Numeric maxdiff = var1 - var2;

  if (std::isnan(var1) || std::isnan(var2)) {
    if (std::isnan(var1) && std::isnan(var2)) {
      maxdiff = 0;
    } else if (std::isnan(var1)) {
      ostringstream os;
      os << "Nan found in " << var1name << ", but there is no "
         << "NaN at same position in " << var2name << ".\nThis "
         << "is not allowed.";
      throw runtime_error(os.str());
    } else {
      ostringstream os;
      os << "Nan found in " << var2name << ", but there is no "
         << "NaN at same position in " << var1name << ".\nThis "
         << "is not allowed.";
      throw runtime_error(os.str());
    }
  }

  if (abs(maxdiff) > maxabsdiff) {
    ostringstream os;
    os << var1name << "-" << var2name << " FAILED!\n";
    if (error_message.length()) os << error_message << "\n";
    os << "Max allowed deviation set to: " << maxabsdiff << endl
       << "but the value deviates with:  " << maxdiff << endl;
    throw runtime_error(os.str());
  }

  CREATE_OUT2;
  out2 << "   " << var1name << "-" << var2name
       << " OK (maximum difference = " << maxdiff << ").\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const Vector& var1,
             const Vector& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  const Index n = var1.nelem();

  if (var2.nelem() != n) {
    ostringstream os;
    os << var1name << " (" << n << ") and " << var2name << " (" << var2.nelem()
       << ") do not have the same size.";
    throw runtime_error(os.str());
  }

  Numeric maxdiff = 0.0;
  for (Index i = 0; i < n; i++) {
    Numeric diff = var1[i] - var2[i];

    if (std::isnan(var1[i]) || std::isnan(var2[i])) {
      if (std::isnan(var1[i]) && std::isnan(var2[i])) {
        diff = 0;
      } else if (std::isnan(var1[i])) {
        ostringstream os;
        os << "Nan found in " << var1name << ", but there is no "
           << "NaN at same position in " << var2name << ".\nThis "
           << "is not allowed.";
        throw runtime_error(os.str());
      } else {
        ostringstream os;
        os << "Nan found in " << var2name << ", but there is no "
           << "NaN at same position in " << var1name << ".\nThis "
           << "is not allowed.";
        throw runtime_error(os.str());
      }
    }

    if (abs(diff) > abs(maxdiff)) {
      maxdiff = diff;
    }
  }

  if (std::isnan(maxdiff) || abs(maxdiff) > maxabsdiff) {
    ostringstream os;
    os << var1name << "-" << var2name << " FAILED!\n";
    if (error_message.length()) os << error_message << "\n";
    os << "Max allowed deviation set to: " << maxabsdiff << endl
       << "but the vectors deviate with: " << maxdiff << endl;
    throw runtime_error(os.str());
  }

  CREATE_OUT2;
  out2 << "   " << var1name << "-" << var2name
       << " OK (maximum difference = " << maxdiff << ").\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const Matrix& var1,
             const Matrix& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  const Index nrows = var1.nrows();
  const Index ncols = var1.ncols();

  if (var2.nrows() != nrows || var2.ncols() != ncols) {
    ostringstream os;
    os << var1name << " (" << nrows << "," << ncols << ") and " << var2name
       << " (" << var2.nrows() << "," << var2.ncols()
       << ") do not have the same size.";
    throw runtime_error(os.str());
  }

  Numeric maxdiff = 0.0;

  for (Index r = 0; r < nrows; r++) {
    for (Index c = 0; c < ncols; c++) {
      Numeric diff = var1(r, c) - var2(r, c);

      if (std::isnan(var1(r, c)) || std::isnan(var2(r, c))) {
        if (std::isnan(var1(r, c)) && std::isnan(var2(r, c))) {
          diff = 0;
        } else if (std::isnan(var1(r, c))) {
          ostringstream os;
          os << "Nan found in " << var1name << ", but there is no "
             << "NaN at same position in " << var2name << ".\nThis "
             << "is not allowed.";
          throw runtime_error(os.str());
        } else {
          ostringstream os;
          os << "Nan found in " << var2name << ", but there is no "
             << "NaN at same position in " << var1name << ".\nThis "
             << "is not allowed.";
          throw runtime_error(os.str());
        }
      }

      if (abs(diff) > abs(maxdiff)) {
        maxdiff = diff;
      }
    }
  }

  if (abs(maxdiff) > maxabsdiff) {
    ostringstream os;
    os << var1name << "-" << var2name << " FAILED!\n";
    if (error_message.length()) os << error_message << "\n";
    os << "Max allowed deviation set to : " << maxabsdiff << endl
       << "but the matrices deviate with: " << maxdiff << endl;
    throw runtime_error(os.str());
  }

  CREATE_OUT2;
  out2 << "   " << var1name << "-" << var2name
       << " OK (maximum difference = " << maxdiff << ").\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const Tensor3& var1,
             const Tensor3& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  const Index ncols = var1.ncols();
  const Index nrows = var1.nrows();
  const Index npages = var1.npages();

  if (var2.ncols() != ncols || var2.nrows() != nrows ||
      var2.npages() != npages) {
    ostringstream os;
    os << var1name << " and " << var2name << " do not have the same size.";
    throw runtime_error(os.str());
  }

  Numeric maxdiff = 0.0;

  for (Index c = 0; c < ncols; c++)
    for (Index r = 0; r < nrows; r++)
      for (Index p = 0; p < npages; p++) {
        Numeric diff = var1(p, r, c) - var2(p, r, c);

        if (std::isnan(var1(p, r, c)) || std::isnan(var2(p, r, c))) {
          if (std::isnan(var1(p, r, c)) && std::isnan(var2(p, r, c))) {
            diff = 0;
          } else if (std::isnan(var1(p, r, c))) {
            ostringstream os;
            os << "Nan found in " << var1name << ", but there is no "
               << "NaN at same position in " << var2name << ".\nThis "
               << "is not allowed.";
            throw runtime_error(os.str());
          } else {
            ostringstream os;
            os << "Nan found in " << var2name << ", but there is no "
               << "NaN at same position in " << var1name << ".\nThis "
               << "is not allowed.";
            throw runtime_error(os.str());
          }
        }

        if (abs(diff) > abs(maxdiff)) {
          maxdiff = diff;
        }
      }

  if (abs(maxdiff) > maxabsdiff) {
    ostringstream os;
    os << var1name << "-" << var2name << " FAILED!\n";
    if (error_message.length()) os << error_message << "\n";
    os << "Max allowed deviation set to : " << maxabsdiff << endl
       << "but the tensors deviate with: " << maxdiff << endl;
    throw runtime_error(os.str());
  }

  CREATE_OUT2;
  out2 << "   " << var1name << "-" << var2name
       << " OK (maximum difference = " << maxdiff << ").\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const Tensor4& var1,
             const Tensor4& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  const Index ncols = var1.ncols();
  const Index nrows = var1.nrows();
  const Index npages = var1.npages();
  const Index nbooks = var1.nbooks();

  if (var2.ncols() != ncols || var2.nrows() != nrows ||
      var2.npages() != npages || var2.nbooks() != nbooks) {
    ostringstream os;
    os << var1name << " and " << var2name << " do not have the same size.";
    throw runtime_error(os.str());
  }

  Numeric maxdiff = 0.0;

  for (Index c = 0; c < ncols; c++)
    for (Index r = 0; r < nrows; r++)
      for (Index p = 0; p < npages; p++)
        for (Index b = 0; b < nbooks; b++) {
          Numeric diff = var1(b, p, r, c) - var2(b, p, r, c);

          if (std::isnan(var1(b, p, r, c)) || std::isnan(var2(b, p, r, c))) {
            if (std::isnan(var1(b, p, r, c)) && std::isnan(var2(b, p, r, c))) {
              diff = 0;
            } else if (std::isnan(var1(b, p, r, c))) {
              ostringstream os;
              os << "Nan found in " << var1name << ", but there is no "
                 << "NaN at same position in " << var2name << ".\nThis "
                 << "is not allowed.";
              throw runtime_error(os.str());
            } else {
              ostringstream os;
              os << "Nan found in " << var2name << ", but there is no "
                 << "NaN at same position in " << var1name << ".\nThis "
                 << "is not allowed.";
              throw runtime_error(os.str());
            }
          }

          if (abs(diff) > abs(maxdiff)) {
            maxdiff = diff;
          }
        }

  if (abs(maxdiff) > maxabsdiff) {
    ostringstream os;
    os << var1name << "-" << var2name << " FAILED!\n";
    if (error_message.length()) os << error_message << "\n";
    os << "Max allowed deviation set to : " << maxabsdiff << endl
       << "but the tensors deviate with: " << maxdiff << endl;
    throw runtime_error(os.str());
  }

  CREATE_OUT2;
  out2 << "   " << var1name << "-" << var2name
       << " OK (maximum difference = " << maxdiff << ").\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const Tensor5& var1,
             const Tensor5& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  const Index ncols = var1.ncols();
  const Index nrows = var1.nrows();
  const Index npages = var1.npages();
  const Index nbooks = var1.nbooks();
  const Index nshelves = var1.nshelves();

  if (var2.ncols() != ncols || var2.nrows() != nrows ||
      var2.npages() != npages || var2.nbooks() != nbooks ||
      var2.nshelves() != nshelves) {
    ostringstream os;
    os << var1name << " and " << var2name << " do not have the same size.";
    throw runtime_error(os.str());
  }

  Numeric maxdiff = 0.0;

  for (Index c = 0; c < ncols; c++)
    for (Index r = 0; r < nrows; r++)
      for (Index p = 0; p < npages; p++)
        for (Index b = 0; b < nbooks; b++)
          for (Index s = 0; s < nshelves; s++) {
            Numeric diff = var1(s, b, p, r, c) - var2(s, b, p, r, c);

            if (std::isnan(var1(s, b, p, r, c)) ||
                std::isnan(var2(s, b, p, r, c))) {
              if (std::isnan(var1(s, b, p, r, c)) &&
                  std::isnan(var2(s, b, p, r, c))) {
                diff = 0;
              } else if (std::isnan(var1(s, b, p, r, c))) {
                ostringstream os;
                os << "Nan found in " << var1name << ", but there is no "
                   << "NaN at same position in " << var2name << ".\nThis "
                   << "is not allowed.";
                throw runtime_error(os.str());
              } else {
                ostringstream os;
                os << "Nan found in " << var2name << ", but there is no "
                   << "NaN at same position in " << var1name << ".\nThis "
                   << "is not allowed.";
                throw runtime_error(os.str());
              }
            }

            if (abs(diff) > abs(maxdiff)) {
              maxdiff = diff;
            }
          }

  if (abs(maxdiff) > maxabsdiff) {
    ostringstream os;
    os << var1name << "-" << var2name << " FAILED!\n";
    if (error_message.length()) os << error_message << "\n";
    os << "Max allowed deviation set to : " << maxabsdiff << endl
       << "but the tensors deviate with: " << maxdiff << endl;
    throw runtime_error(os.str());
  }

  CREATE_OUT2;
  out2 << "   " << var1name << "-" << var2name
       << " OK (maximum difference = " << maxdiff << ").\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const Tensor7& var1,
             const Tensor7& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  const Index ncols = var1.ncols();
  const Index nrows = var1.nrows();
  const Index npages = var1.npages();
  const Index nbooks = var1.nbooks();
  const Index nshelves = var1.nshelves();
  const Index nvitrines = var1.nvitrines();
  const Index nlibraries = var1.nlibraries();

  if (var2.ncols() != ncols || var2.nrows() != nrows ||
      var2.npages() != npages || var2.nbooks() != nbooks ||
      var2.nshelves() != nshelves || var2.nvitrines() != nvitrines ||
      var2.nlibraries() != nlibraries) {
    ostringstream os;
    os << var1name << " and " << var2name << " do not have the same size.";
    throw runtime_error(os.str());
  }

  Numeric maxdiff = 0.0;

  for (Index c = 0; c < ncols; c++)
    for (Index r = 0; r < nrows; r++)
      for (Index p = 0; p < npages; p++)
        for (Index b = 0; b < nbooks; b++)
          for (Index s = 0; s < nshelves; s++)
            for (Index v = 0; v < nvitrines; v++)
              for (Index l = 0; l < nlibraries; l++) {
                Numeric diff =
                    var1(l, v, s, b, p, r, c) - var2(l, v, s, b, p, r, c);

                if (std::isnan(var1(l, v, s, b, p, r, c)) ||
                    std::isnan(var2(l, v, s, b, p, r, c))) {
                  if (std::isnan(var1(l, v, s, b, p, r, c)) &&
                      std::isnan(var2(l, v, s, b, p, r, c))) {
                    diff = 0;
                  } else if (std::isnan(var1(l, v, s, b, p, r, c))) {
                    ostringstream os;
                    os << "Nan found in " << var1name << ", but there is no "
                       << "NaN at same position in " << var2name << ".\nThis "
                       << "is not allowed.";
                    throw runtime_error(os.str());
                  } else {
                    ostringstream os;
                    os << "Nan found in " << var2name << ", but there is no "
                       << "NaN at same position in " << var1name << ".\nThis "
                       << "is not allowed.";
                    throw runtime_error(os.str());
                  }
                }

                if (abs(diff) > abs(maxdiff)) {
                  maxdiff = diff;
                }
              }

  if (abs(maxdiff) > maxabsdiff) {
    ostringstream os;
    os << var1name << "-" << var2name << " FAILED!\n";
    if (error_message.length()) os << error_message << "\n";
    os << "Max allowed deviation set to : " << maxabsdiff << endl
       << "but the tensors deviate with: " << maxdiff << endl;
    throw runtime_error(os.str());
  }

  CREATE_OUT2;
  out2 << "   " << var1name << "-" << var2name
       << " OK (maximum difference = " << maxdiff << ").\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const ArrayOfVector& var1,
             const ArrayOfVector& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  if (var1.nelem() != var2.nelem()) {
    ostringstream os;
    os << "The two arrays do not have the same size." << endl
       << var1name << " nelem: " << var1.nelem() << endl
       << var2name << " nelem: " << var2.nelem() << endl;
    throw runtime_error(os.str());
  }

  bool failed = false;
  ostringstream fail_msg;
  for (Index i = 0; i < var1.nelem(); i++) {
    try {
      ostringstream vn1, vn2;
      vn1 << var1name << "[" << i << "]";
      vn2 << var2name << "[" << i << "]";
      Compare(var1[i],
              var2[i],
              maxabsdiff,
              error_message,
              vn1.str(),
              vn2.str(),
              "",
              "",
              verbosity);
    } catch (const std::runtime_error& e) {
      failed = true;
      fail_msg << endl
               << e.what() << endl
               << "Mismatch at array index: " << i << endl;
    }
  }

  if (failed) throw runtime_error(fail_msg.str());
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const ArrayOfMatrix& var1,
             const ArrayOfMatrix& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  if (var1.nelem() != var2.nelem()) {
    ostringstream os;
    os << "The two arrays do not have the same size." << endl
       << var1name << " nelem: " << var1.nelem() << endl
       << var2name << " nelem: " << var2.nelem() << endl;
    throw runtime_error(os.str());
  }

  bool failed = false;
  ostringstream fail_msg;
  for (Index i = 0; i < var1.nelem(); i++) {
    try {
      ostringstream vn1, vn2;
      vn1 << var1name << "[" << i << "]";
      vn2 << var2name << "[" << i << "]";
      Compare(var1[i],
              var2[i],
              maxabsdiff,
              error_message,
              vn1.str(),
              vn2.str(),
              "",
              "",
              verbosity);
    } catch (const std::runtime_error& e) {
      failed = true;
      fail_msg << endl
               << e.what() << endl
               << "Mismatch at array index: " << i << endl;
    }
  }

  if (failed) throw runtime_error(fail_msg.str());
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const ArrayOfTensor7& var1,
             const ArrayOfTensor7& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  if (var1.nelem() != var2.nelem()) {
    ostringstream os;
    os << "The two arrays do not have the same size." << endl
       << var1name << " nelem: " << var1.nelem() << endl
       << var2name << " nelem: " << var2.nelem() << endl;
    throw runtime_error(os.str());
  }

  bool failed = false;
  ostringstream fail_msg;
  for (Index i = 0; i < var1.nelem(); i++) {
    try {
      ostringstream vn1, vn2;
      vn1 << var1name << "[" << i << "]";
      vn2 << var2name << "[" << i << "]";
      Compare(var1[i],
              var2[i],
              maxabsdiff,
              error_message,
              vn1.str(),
              vn2.str(),
              "",
              "",
              verbosity);
    } catch (const std::runtime_error& e) {
      failed = true;
      fail_msg << endl
               << e.what() << endl
               << "Mismatch at array index: " << i << endl;
    }
  }

  if (failed) throw runtime_error(fail_msg.str());
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const GriddedField3& var1,
             const GriddedField3& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  for (Index i = 0; i < var1.get_dim(); i++) {
    if (var1.get_grid_size(i) != var2.get_grid_size(i)) {
      ostringstream os;
      os << var1name << " and " << var2name << " grid " << i
         << " do not have the same size: " << var1.get_grid_size(i)
         << " != " << var2.get_grid_size(i);
      throw runtime_error(os.str());
    }
    if (var1.get_grid_name(i) != var2.get_grid_name(i)) {
      ostringstream os;
      os << var1name << " and " << var2name << " grid " << i
         << " do not have the same name: " << var1.get_grid_name(i)
         << " != " << var2.get_grid_name(i);
      throw runtime_error(os.str());
    }
  }

  Compare(var1.data,
          var2.data,
          maxabsdiff,
          error_message,
          var1name,
          var2name,
          "",
          "",
          verbosity);
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const Sparse& var1,
             const Sparse& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  const Index nrows = var1.nrows();
  const Index ncols = var1.ncols();

  if (var2.nrows() != nrows || var2.ncols() != ncols) {
    ostringstream os;
    os << var1name << " (" << nrows << "," << ncols << ") and " << var2name
       << " (" << var2.nrows() << "," << var2.ncols()
       << ") do not have the same size.";
    throw runtime_error(os.str());
  }

  Numeric maxdiff = 0.0;

  for (Index r = 0; r < nrows; r++) {
    for (Index c = 0; c < ncols; c++) {
      Numeric diff = var1(r, c) - var2(r, c);

      if (std::isnan(var1(r, c)) || std::isnan(var2(r, c))) {
        if (std::isnan(var1(r, c)) && std::isnan(var2(r, c))) {
          diff = 0;
        } else if (std::isnan(var1(r, c))) {
          ostringstream os;
          os << "Nan found in " << var1name << ", but there is no "
             << "NaN at same position in " << var2name << ".\nThis "
             << "is not allowed.";
          throw runtime_error(os.str());
        } else {
          ostringstream os;
          os << "Nan found in " << var2name << ", but there is no "
             << "NaN at same position in " << var1name << ".\nThis "
             << "is not allowed.";
          throw runtime_error(os.str());
        }
      }

      if (abs(diff) > abs(maxdiff)) {
        maxdiff = diff;
      }
    }
  }

  if (abs(maxdiff) > maxabsdiff) {
    ostringstream os;
    os << var1name << "-" << var2name << " FAILED!\n";
    if (error_message.length()) os << error_message << "\n";
    os << "Max allowed deviation set to : " << maxabsdiff << endl
       << "but the matrices deviate with: " << maxdiff << endl;
    throw runtime_error(os.str());
  }

  CREATE_OUT2;
  out2 << "   " << var1name << "-" << var2name
       << " OK (maximum difference = " << maxdiff << ").\n";
}

/* Workspace method: Doxygen documentation will be auto-generated */
void Compare(const SingleScatteringData& var1,
             const SingleScatteringData& var2,
             const Numeric& maxabsdiff,
             const String& error_message,
             const String& var1name,
             const String& var2name,
             const String&,
             const String&,
             const Verbosity& verbosity) {
  if (var1.ptype != var2.ptype) {
    std::ostringstream os;
    os << "The particle types don't match: " << std::endl
       << var1name << " = " << PTypeToString(var1.ptype) << ", " << var2name
       << " = " << PTypeToString(var2.ptype) << std::endl;
    throw std::runtime_error(os.str());
  }
  Compare(var1.f_grid,
          var2.f_grid,
          maxabsdiff,
          error_message,
          var1name + ".f_grid",
          var2name + ".f_grid",
          "",
          "",
          verbosity);
  Compare(var1.T_grid,
          var2.T_grid,
          maxabsdiff,
          error_message,
          var1name + ".T_grid",
          var2name + ".T_grid",
          "",
          "",
          verbosity);
  Compare(var1.za_grid,
          var2.za_grid,
          maxabsdiff,
          error_message,
          var1name + ".za_grid",
          var2name + ".za_grid",
          "",
          "",
          verbosity);
  Compare(var1.aa_grid,
          var2.aa_grid,
          maxabsdiff,
          error_message,
          var1name + ".aa_grid",
          var2name + ".aa_grid",
          "",
          "",
          verbosity);
  Compare(var1.pha_mat_data,
          var2.pha_mat_data,
          maxabsdiff,
          error_message,
          var1name + ".pha_mat_data",
          var2name + ".pha_mat_data",
          "",
          "",
          verbosity);
  Compare(var1.ext_mat_data,
          var2.ext_mat_data,
          maxabsdiff,
          error_message,
          var1name + ".ext_mat_data",
          var2name + ".ext_mat_data",
          "",
          "",
          verbosity);
  Compare(var1.abs_vec_data,
          var2.abs_vec_data,
          maxabsdiff,
          error_message,
          var1name + ".abs_vec_data",
          var2name + ".abs_vec_data",
          "",
          "",
          verbosity);
}

inline void _cr_internal_(const Numeric& var1,
                          const Numeric& var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity&) {
  if (var1 not_eq 0. and var2 not_eq 0.) {
    const Numeric absreldiff = abs(var1 / var2 - 1);
    if (absreldiff > maxabsreldiff) {
      ostringstream os;
      os << var1name << "-" << var2name << " FAILED!\n";
      if (error_message.length()) os << error_message << "\n";
      os << "Max allowed deviation set to: " << maxabsreldiff * 100.0 << "%"
         << endl
         << "but the input deviate with: " << absreldiff * 100.0 << "%\n" 
         << "If you compare non-scalar variables, the reported deviation is\n"
         << "the first one found violating the criterion. The maximum\n"
         << "difference can be higher.\n";
      throw runtime_error(os.str());
    }
  }
}

inline void _cr_internal_(const ConstVectorView var1,
                          const ConstVectorView var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  const Index n = var1.nelem();
  if (var2.nelem() not_eq n)
    throw std::runtime_error("Cannot compare variables of different size");
  for (Index i = 0; i < n; i++)
    _cr_internal_(var1[i],
                  var2[i],
                  maxabsreldiff,
                  error_message,
                  var1name,
                  var2name,
                  "",
                  "",
                  verbosity);
}

inline void _cr_internal_(const ConstMatrixView var1,
                          const ConstMatrixView var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  const Index n = var1.nrows();
  if (var2.nrows() not_eq n)
    throw std::runtime_error("Cannot compare variables of different size");
  for (Index i = 0; i < n; i++)
    _cr_internal_(var1(i, joker),
                  var2(i, joker),
                  maxabsreldiff,
                  error_message,
                  var1name,
                  var2name,
                  "",
                  "",
                  verbosity);
}

inline void _cr_internal_(const ConstTensor3View var1,
                          const ConstTensor3View var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  const Index n = var1.npages();
  if (var2.npages() not_eq n)
    throw std::runtime_error("Cannot compare variables of different size");
  for (Index i = 0; i < n; i++)
    _cr_internal_(var1(i, joker, joker),
                  var2(i, joker, joker),
                  maxabsreldiff,
                  error_message,
                  var1name,
                  var2name,
                  "",
                  "",
                  verbosity);
}

inline void _cr_internal_(const ConstTensor4View var1,
                          const ConstTensor4View var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  const Index n = var1.nbooks();
  if (var2.nbooks() not_eq n)
    throw std::runtime_error("Cannot compare variables of different size");
  for (Index i = 0; i < n; i++)
    _cr_internal_(var1(i, joker, joker, joker),
                  var2(i, joker, joker, joker),
                  maxabsreldiff,
                  error_message,
                  var1name,
                  var2name,
                  "",
                  "",
                  verbosity);
}

inline void _cr_internal_(const ConstTensor5View var1,
                          const ConstTensor5View var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  const Index n = var1.nshelves();
  if (var2.nshelves() not_eq n)
    throw std::runtime_error("Cannot compare variables of different size");
  for (Index i = 0; i < n; i++)
    _cr_internal_(var1(i, joker, joker, joker, joker),
                  var2(i, joker, joker, joker, joker),
                  maxabsreldiff,
                  error_message,
                  var1name,
                  var2name,
                  "",
                  "",
                  verbosity);
}

inline void _cr_internal_(const ConstTensor6View var1,
                          const ConstTensor6View var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  const Index n = var1.nvitrines();
  if (var2.nvitrines() not_eq n)
    throw std::runtime_error("Cannot compare variables of different size");
  for (Index i = 0; i < n; i++)
    _cr_internal_(var1(i, joker, joker, joker, joker, joker),
                  var2(i, joker, joker, joker, joker, joker),
                  maxabsreldiff,
                  error_message,
                  var1name,
                  var2name,
                  "",
                  "",
                  verbosity);
}

inline void _cr_internal_(const ConstTensor7View var1,
                          const ConstTensor7View var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  const Index n = var1.nlibraries();
  if (var2.nlibraries() not_eq n)
    throw std::runtime_error("Cannot compare variables of different size");
  for (Index i = 0; i < n; i++)
    _cr_internal_(var1(i, joker, joker, joker, joker, joker, joker),
                  var2(i, joker, joker, joker, joker, joker, joker),
                  maxabsreldiff,
                  error_message,
                  var1name,
                  var2name,
                  "",
                  "",
                  verbosity);
}

inline void _cr_internal_(const PropagationMatrix& var1,
                          const PropagationMatrix& var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  _cr_internal_(var1.Data(),
                var2.Data(),
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}

inline void _cr_internal_(const StokesVector& var1,
                          const StokesVector& var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  _cr_internal_(var1.Data(),
                var2.Data(),
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}

template <class T>
inline void _cr_internal_(const Array<T>& var1,
                          const Array<T>& var2,
                          const Numeric& maxabsreldiff,
                          const String& error_message,
                          const String& var1name,
                          const String& var2name,
                          const String&,
                          const String&,
                          const Verbosity& verbosity) {
  const Index n = var1.nelem();
  if (var2.nelem() not_eq n)
    throw std::runtime_error("Cannot compare arrays of different length");
  for (Index i = 0; i < n; i++)
    _cr_internal_(var1[i],
                  var2[i],
                  maxabsreldiff,
                  error_message,
                  var1name,
                  var2name,
                  "",
                  "",
                  verbosity);
}

/* Workspace method: Doxygen documentation will be auto-generated */
void CompareRelative(const Numeric& var1,
                     const Numeric& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const Vector& var1,
                     const Vector& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const Matrix& var1,
                     const Matrix& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const Tensor3& var1,
                     const Tensor3& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const Tensor4& var1,
                     const Tensor4& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const Tensor5& var1,
                     const Tensor5& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const Tensor6& var1,
                     const Tensor6& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const Tensor7& var1,
                     const Tensor7& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfVector& var1,
                     const ArrayOfVector& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfMatrix& var1,
                     const ArrayOfMatrix& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfTensor3& var1,
                     const ArrayOfTensor3& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfTensor4& var1,
                     const ArrayOfTensor4& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfTensor5& var1,
                     const ArrayOfTensor5& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfTensor6& var1,
                     const ArrayOfTensor6& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfTensor7& var1,
                     const ArrayOfTensor7& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfArrayOfVector& var1,
                     const ArrayOfArrayOfVector& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfArrayOfMatrix& var1,
                     const ArrayOfArrayOfMatrix& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfArrayOfTensor3& var1,
                     const ArrayOfArrayOfTensor3& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfArrayOfTensor4& var1,
                     const ArrayOfArrayOfTensor4& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfArrayOfTensor5& var1,
                     const ArrayOfArrayOfTensor5& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfArrayOfTensor6& var1,
                     const ArrayOfArrayOfTensor6& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}
void CompareRelative(const ArrayOfArrayOfTensor7& var1,
                     const ArrayOfArrayOfTensor7& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}

void CompareRelative(const ArrayOfPropagationMatrix& var1,
                     const ArrayOfPropagationMatrix& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}

void CompareRelative(const ArrayOfArrayOfPropagationMatrix& var1,
                     const ArrayOfArrayOfPropagationMatrix& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}

void CompareRelative(const ArrayOfStokesVector& var1,
                     const ArrayOfStokesVector& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}

void CompareRelative(const ArrayOfArrayOfStokesVector& var1,
                     const ArrayOfArrayOfStokesVector& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1,
                var2,
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}

/* Workspace method: Doxygen documentation will be auto-generated */
void CompareRelative(const EnergyLevelMap& var1,
                     const EnergyLevelMap& var2,
                     const Numeric& maxabsreldiff,
                     const String& error_message,
                     const String& var1name,
                     const String& var2name,
                     const String&,
                     const String&,
                     const Verbosity& verbosity) {
  _cr_internal_(var1.Data(),
                var2.Data(),
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
  _cr_internal_(var1.Energies(),
                var2.Energies(),
                maxabsreldiff,
                error_message,
                var1name,
                var2name,
                "",
                "",
                verbosity);
}

void PrintPhysicalConstants(const Verbosity& verbosity) {
  CREATE_OUT0;

  extern const Numeric AVOGADROS_NUMB;
  extern const Numeric BOHR_MAGNETON;
  extern const Numeric BOLTZMAN_CONST;
  extern const Numeric ELECTRON_CHARGE;
  extern const Numeric ELECTRON_MASS;
  extern const Numeric GAS_CONSTANT;
  extern const Numeric PLANCK_CONST;
  extern const Numeric SPEED_OF_LIGHT;
  extern const Numeric VACUUM_PERMITTIVITY;
  extern const Numeric DOPPLER_CONST;

  out0 << std::setprecision(15) << std::scientific;
  out0 << "---------------------------------------------------------\n"
       << "Numerical const in ARTS \tValue\n"
       << "Avogadro's constant:    \t " << AVOGADROS_NUMB << '\n'
       << "Bohr's magneton:        \t " << BOHR_MAGNETON << '\n'
       << "Boltzmann's constant:   \t " << BOLTZMAN_CONST << '\n'
       << "Electron charge:        \t" << ELECTRON_CHARGE << '\n'
       << "Electron mass:          \t " << ELECTRON_MASS << '\n'
       << "Ideal gas constant:     \t " << GAS_CONSTANT << '\n'
       << "Planck's constant:      \t " << PLANCK_CONST << '\n'
       << "Speed of light:         \t " << SPEED_OF_LIGHT << '\n'
       << "Vacuum permittivity:    \t " << VACUUM_PERMITTIVITY << '\n'
       << "Doppler constant:       \t " << DOPPLER_CONST << '\n'
       << "---------------------------------------------------------\n";
}