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https://github.com/FULU-Foundation/OrcaSlicer-bambulab.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.
84 lines
3.0 KiB
C++
84 lines
3.0 KiB
C++
// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2015 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 "parse_rhs.h"
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#include <algorithm>
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template <typename DerivedV>
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IGL_INLINE void igl::matlab::parse_rhs_double(
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const mxArray *prhs[],
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Eigen::PlainObjectBase<DerivedV> & V)
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{
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using namespace Eigen;
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// Use Eigen's map and cast to copy
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V = Map< Matrix<double,Dynamic,Dynamic> >
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(mxGetPr(prhs[0]),mxGetM(prhs[0]),mxGetN(prhs[0]))
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.cast<typename DerivedV::Scalar>();
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}
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template <typename DerivedV>
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IGL_INLINE void igl::matlab::parse_rhs_index(
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const mxArray *prhs[],
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Eigen::PlainObjectBase<DerivedV> & V)
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{
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parse_rhs_double(prhs,V);
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V.array() -= 1;
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}
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template <typename MT>
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IGL_INLINE void igl::matlab::parse_rhs(
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const mxArray *prhs[],
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Eigen::SparseMatrix<MT> & M)
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{
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using namespace Eigen;
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using namespace std;
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const mxArray * mx_data = prhs[0];
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// Handle boring case where matrix is actually an empty dense matrix
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if(mxGetNumberOfElements(mx_data) == 0)
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{
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M.resize(0,0);
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return;
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}
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assert(mxIsSparse(mx_data));
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assert(mxGetNumberOfDimensions(mx_data) == 2);
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//cout<<name<<": "<<mxGetM(mx_data)<<" "<<mxGetN(mx_data)<<endl;
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const int m = mxGetM(mx_data);
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const int n = mxGetN(mx_data);
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// TODO: It should be possible to directly load the data into the sparse
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// matrix without going through the triplets
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// Copy data immediately
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double * pr = mxGetPr(mx_data);
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mwIndex * ir = mxGetIr(mx_data);
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mwIndex * jc = mxGetJc(mx_data);
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vector<Triplet<MT> > MIJV;
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MIJV.reserve(mxGetNumberOfElements(mx_data));
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// Iterate over outside
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int k = 0;
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for(int j=0; j<n;j++)
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{
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// Iterate over inside
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while(k<(int)jc[j+1])
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{
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//cout<<ir[k]<<" "<<j<<" "<<pr[k]<<endl;
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assert((int)ir[k]<m);
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assert((int)j<n);
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MIJV.push_back(Triplet<MT >(ir[k],j,pr[k]));
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k++;
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}
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}
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M.resize(m,n);
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M.setFromTriplets(MIJV.begin(),MIJV.end());
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}
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#ifdef IGL_STATIC_LIBRARY
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template void igl::matlab::parse_rhs_index<Eigen::Matrix<int, -1, 1, 0, -1, 1> >(mxArray_tag const**, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> >&);
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template void igl::matlab::parse_rhs_index<Eigen::Matrix<int, -1, -1, 0, -1, -1> >(mxArray_tag const**, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> >&);
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template void igl::matlab::parse_rhs_double<Eigen::Matrix<double, -1, -1, 0, -1, -1> >(mxArray_tag const**, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&);
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template void igl::matlab::parse_rhs_index<Eigen::Matrix<int, -1, 3, 1, -1, 3> >(mxArray_tag const**, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 3, 1, -1, 3> >&);
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template void igl::matlab::parse_rhs_double<Eigen::Matrix<double, -1, 3, 1, -1, 3> >(mxArray_tag const**, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 1, -1, 3> >&);
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#endif
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