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https://github.com/SoftFever/OrcaSlicer.git
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2ae2672ee9
Fixing dep build script on Windows and removing some warnings. Use bundled igl by default. Not building with the dependency scripts if not explicitly stated. This way, it will stay in Fix the libigl patch to include C source files in header only mode.
123 lines
5.6 KiB
C++
123 lines
5.6 KiB
C++
// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2013 Alec Jacobson <alecjacobson@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla Public License
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// v. 2.0. If a copy of the MPL was not distributed with this file, You can
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// obtain one at http://mozilla.org/MPL/2.0/.
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#include "sparse.h"
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#include <iostream>
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#include <vector>
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template <class IndexVector, class ValueVector, typename T>
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IGL_INLINE void igl::sparse(
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const IndexVector & I,
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const IndexVector & J,
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const ValueVector & V,
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Eigen::SparseMatrix<T>& X)
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{
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size_t m = (size_t)I.maxCoeff()+1;
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size_t n = (size_t)J.maxCoeff()+1;
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return igl::sparse(I,J,V,m,n,X);
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}
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#include "verbose.h"
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template <
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class IndexVectorI,
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class IndexVectorJ,
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class ValueVector,
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typename T>
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IGL_INLINE void igl::sparse(
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const IndexVectorI & I,
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const IndexVectorJ & J,
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const ValueVector & V,
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const size_t m,
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const size_t n,
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Eigen::SparseMatrix<T>& X)
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{
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using namespace std;
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using namespace Eigen;
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assert((int)I.maxCoeff() < (int)m);
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assert((int)I.minCoeff() >= 0);
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assert((int)J.maxCoeff() < (int)n);
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assert((int)J.minCoeff() >= 0);
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assert(I.size() == J.size());
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assert(J.size() == V.size());
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// Really we just need .size() to be the same, but this is safer
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assert(I.rows() == J.rows());
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assert(J.rows() == V.rows());
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assert(I.cols() == J.cols());
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assert(J.cols() == V.cols());
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//// number of values
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//int nv = V.size();
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//Eigen::DynamicSparseMatrix<T, Eigen::RowMajor> dyn_X(m,n);
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//// over estimate the number of entries
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//dyn_X.reserve(I.size());
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//for(int i = 0;i < nv;i++)
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//{
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// dyn_X.coeffRef((int)I(i),(int)J(i)) += (T)V(i);
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//}
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//X = Eigen::SparseMatrix<T>(dyn_X);
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vector<Triplet<T> > IJV;
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IJV.reserve(I.size());
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for(int x = 0;x<I.size();x++)
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{
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IJV.push_back(Triplet<T >(I(x),J(x),V(x)));
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}
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X.resize(m,n);
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X.setFromTriplets(IJV.begin(),IJV.end());
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}
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template <typename DerivedD, typename T>
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IGL_INLINE void igl::sparse(
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const Eigen::PlainObjectBase<DerivedD>& D,
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Eigen::SparseMatrix<T>& X)
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{
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assert(false && "Obsolete. Just call D.sparseView() directly");
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using namespace std;
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using namespace Eigen;
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vector<Triplet<T> > DIJV;
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const int m = D.rows();
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const int n = D.cols();
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for(int i = 0;i<m;i++)
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{
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for(int j = 0;j<n;j++)
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{
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if(D(i,j)!=0)
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{
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DIJV.push_back(Triplet<T>(i,j,D(i,j)));
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}
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}
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}
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X.resize(m,n);
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X.setFromTriplets(DIJV.begin(),DIJV.end());
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}
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template <typename DerivedD>
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IGL_INLINE Eigen::SparseMatrix<typename DerivedD::Scalar > igl::sparse(
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const Eigen::PlainObjectBase<DerivedD>& D)
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{
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assert(false && "Obsolete. Just call D.sparseView() directly");
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Eigen::SparseMatrix<typename DerivedD::Scalar > X;
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igl::sparse(D,X);
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return X;
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}
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#ifdef IGL_STATIC_LIBRARY
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// Explicit template instantiation
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// generated by autoexplicit.sh
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#ifndef WIN32
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//template void igl::sparse<Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >, Eigen::Matrix<int, -1, -1, 0, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Array<bool, -1, 2, 0, -1, 2> >, bool>(Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::Matrix<int, -1, -1, 0, -1, -1> const&, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Array<bool, -1, 2, 0, -1, 2> > const&, unsigned long, unsigned long, Eigen::SparseMatrix<bool, 0, int>&);
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//template void igl::sparse<Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Array<bool, -1, 3, 0, -1, 3> >, bool>(Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Array<bool, -1, 3, 0, -1, 3> > const&, unsigned long, unsigned long, Eigen::SparseMatrix<bool, 0, int>&);
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#if EIGEN_VERSION_AT_LEAST(3,3,0)
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#else
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//template void igl::sparse<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, true>, Eigen::Matrix<int, -1, 1, 0, -1, 1> >, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Array<bool, -1, 1, 0, -1, 1> >, bool>(Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int, true>, Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, Eigen::Matrix<int, -1, 1, 0, -1, 1> const&, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Array<bool, -1, 1, 0, -1, 1> > const&, unsigned long, unsigned long, Eigen::SparseMatrix<bool, 0, int>&);
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#endif
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#endif
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template void igl::sparse<Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, 1, 0, -1, 1>, std::complex<double> >(Eigen::Matrix<int, -1, 1, 0, -1, 1> const&, Eigen::Matrix<int, -1, 1, 0, -1, 1> const&, Eigen::Matrix<double, -1, 1, 0, -1, 1> const&, size_t, size_t, Eigen::SparseMatrix<std::complex<double>, 0, int>&);
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template void igl::sparse<Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double>(Eigen::Matrix<int, -1, 1, 0, -1, 1> const&, Eigen::Matrix<int, -1, 1, 0, -1, 1> const&, Eigen::Matrix<double, -1, 1, 0, -1, 1> const&, Eigen::SparseMatrix<double, 0, int>&);
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template void igl::sparse<Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double>(Eigen::Matrix<int, -1, 1, 0, -1, 1> const&, Eigen::Matrix<int, -1, 1, 0, -1, 1> const&, Eigen::Matrix<double, -1, 1, 0, -1, 1> const&, size_t, size_t, Eigen::SparseMatrix<double, 0, int>&);
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#endif
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