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78 lines
1.9 KiB
78 lines
1.9 KiB
#ifndef IGL_FOR_EACH_H
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#define IGL_FOR_EACH_H
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#include "igl_inline.h"
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#include <Eigen/Core>
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#include <Eigen/Sparse>
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namespace igl
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{
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// FOR_EACH Call a given function for each non-zero (i.e., explicit value
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// might actually be ==0) in a Sparse Matrix A _in order (of storage)_. This is
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// useless unless func has _side-effects_.
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//
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// Inputs:
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// A m by n SparseMatrix
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// func function handle with prototype "compatible with" `void (Index i,
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// Index j, Scalar & v)`. Return values will be ignored.
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//
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// See also: std::for_each
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template <typename AType, typename Func>
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inline void for_each(
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const Eigen::SparseMatrix<AType> & A,
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const Func & func);
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template <typename DerivedA, typename Func>
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inline void for_each(
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const Eigen::DenseBase<DerivedA> & A,
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const Func & func);
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}
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// Implementation
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template <typename AType, typename Func>
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inline void igl::for_each(
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const Eigen::SparseMatrix<AType> & A,
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const Func & func)
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{
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// Can **not** use parallel for because this must be _in order_
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// Iterate over outside
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for(int k=0; k<A.outerSize(); ++k)
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{
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// Iterate over inside
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for(typename Eigen::SparseMatrix<AType>::InnerIterator it (A,k); it; ++it)
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{
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func(it.row(),it.col(),it.value());
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}
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}
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}
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template <typename DerivedA, typename Func>
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inline void igl::for_each(
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const Eigen::DenseBase<DerivedA> & A,
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const Func & func)
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{
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// Can **not** use parallel for because this must be _in order_
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if(A.IsRowMajor)
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{
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for(typename DerivedA::Index i = 0;i<A.rows();i++)
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{
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for(typename DerivedA::Index j = 0;j<A.cols();j++)
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{
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func(i,j,A(i,j));
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}
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}
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}else
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{
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for(typename DerivedA::Index j = 0;j<A.cols();j++)
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{
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for(typename DerivedA::Index i = 0;i<A.rows();i++)
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{
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func(i,j,A(i,j));
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}
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}
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}
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}
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//#ifndef IGL_STATIC_LIBRARY
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//# include "for_each.cpp"
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//#endif
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#endif
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