don't index Eigen

1 files changed, 0 insertions, 236 deletions

diff --git a/eigen/test/sparse_permutations.cpp b/eigen/test/sparse_permutations.cpp
deleted file mode 100644
index b82ccef..0000000
--- a/eigen/test/sparse_permutations.cpp
+++ /dev/null
@@ -1,236 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2011-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
-
-
-static long int nb_transposed_copies;
-#define EIGEN_SPARSE_TRANSPOSED_COPY_PLUGIN {nb_transposed_copies++;}
-#define VERIFY_TRANSPOSITION_COUNT(XPR,N) {\
-    nb_transposed_copies = 0; \
-    XPR; \
-    if(nb_transposed_copies!=N) std::cerr << "nb_transposed_copies == " << nb_transposed_copies << "\n"; \
-    VERIFY( (#XPR) && nb_transposed_copies==N ); \
-  }
-
-#include "sparse.h"
-
-template<typename T>
-bool is_sorted(const T& mat) {
-  for(Index k = 0; k<mat.outerSize(); ++k)
-  {
-    Index prev = -1;
-    for(typename T::InnerIterator it(mat,k); it; ++it)
-    {
-      if(prev>=it.index())
-        return false;
-      prev = it.index();
-    }
-  }
-  return true;
-}
-
-template<typename T>
-typename internal::nested_eval<T,1>::type eval(const T &xpr)
-{
-  VERIFY( int(internal::nested_eval<T,1>::type::Flags&RowMajorBit) == int(internal::evaluator<T>::Flags&RowMajorBit) );
-  return xpr;
-}
-
-template<int OtherStorage, typename SparseMatrixType> void sparse_permutations(const SparseMatrixType& ref)
-{
-  const Index rows = ref.rows();
-  const Index cols = ref.cols();
-  typedef typename SparseMatrixType::Scalar Scalar;
-  typedef typename SparseMatrixType::StorageIndex StorageIndex;
-  typedef SparseMatrix<Scalar, OtherStorage, StorageIndex> OtherSparseMatrixType;
-  typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
-  typedef Matrix<StorageIndex,Dynamic,1> VectorI;
-//   bool IsRowMajor1 = SparseMatrixType::IsRowMajor;
-//   bool IsRowMajor2 = OtherSparseMatrixType::IsRowMajor;
-  
-  double density = (std::max)(8./(rows*cols), 0.01);
-  
-  SparseMatrixType mat(rows, cols), up(rows,cols), lo(rows,cols);
-  OtherSparseMatrixType res;
-  DenseMatrix mat_d = DenseMatrix::Zero(rows, cols), up_sym_d, lo_sym_d, res_d;
-  
-  initSparse<Scalar>(density, mat_d, mat, 0);
-
-  up = mat.template triangularView<Upper>();
-  lo = mat.template triangularView<Lower>();
-  
-  up_sym_d = mat_d.template selfadjointView<Upper>();
-  lo_sym_d = mat_d.template selfadjointView<Lower>();
-  
-  VERIFY_IS_APPROX(mat, mat_d);
-  VERIFY_IS_APPROX(up, DenseMatrix(mat_d.template triangularView<Upper>()));
-  VERIFY_IS_APPROX(lo, DenseMatrix(mat_d.template triangularView<Lower>()));
-  
-  PermutationMatrix<Dynamic> p, p_null;
-  VectorI pi;
-  randomPermutationVector(pi, cols);
-  p.indices() = pi;
-
-  VERIFY( is_sorted( ::eval(mat*p) ));
-  VERIFY( is_sorted( res = mat*p ));
-  VERIFY_TRANSPOSITION_COUNT( ::eval(mat*p), 0);
-  //VERIFY_TRANSPOSITION_COUNT( res = mat*p, IsRowMajor ? 1 : 0 );
-  res_d = mat_d*p;
-  VERIFY(res.isApprox(res_d) && "mat*p");
-
-  VERIFY( is_sorted( ::eval(p*mat) ));
-  VERIFY( is_sorted( res = p*mat ));
-  VERIFY_TRANSPOSITION_COUNT( ::eval(p*mat), 0);
-  res_d = p*mat_d;
-  VERIFY(res.isApprox(res_d) && "p*mat");
-
-  VERIFY( is_sorted( (mat*p).eval() ));
-  VERIFY( is_sorted( res = mat*p.inverse() ));
-  VERIFY_TRANSPOSITION_COUNT( ::eval(mat*p.inverse()), 0);
-  res_d = mat*p.inverse();
-  VERIFY(res.isApprox(res_d) && "mat*inv(p)");
-
-  VERIFY( is_sorted( (p*mat+p*mat).eval() ));
-  VERIFY( is_sorted( res = p.inverse()*mat ));
-  VERIFY_TRANSPOSITION_COUNT( ::eval(p.inverse()*mat), 0);
-  res_d = p.inverse()*mat_d;
-  VERIFY(res.isApprox(res_d) && "inv(p)*mat");
-
-  VERIFY( is_sorted( (p * mat * p.inverse()).eval() ));
-  VERIFY( is_sorted( res = mat.twistedBy(p) ));
-  VERIFY_TRANSPOSITION_COUNT( ::eval(p * mat * p.inverse()), 0);
-  res_d = (p * mat_d) * p.inverse();
-  VERIFY(res.isApprox(res_d) && "p*mat*inv(p)");
-
-  
-  VERIFY( is_sorted( res = mat.template selfadjointView<Upper>().twistedBy(p_null) ));
-  res_d = up_sym_d;
-  VERIFY(res.isApprox(res_d) && "full selfadjoint upper to full");
-  
-  VERIFY( is_sorted( res = mat.template selfadjointView<Lower>().twistedBy(p_null) ));
-  res_d = lo_sym_d;
-  VERIFY(res.isApprox(res_d) && "full selfadjoint lower to full");
-  
-  
-  VERIFY( is_sorted( res = up.template selfadjointView<Upper>().twistedBy(p_null) ));
-  res_d = up_sym_d;
-  VERIFY(res.isApprox(res_d) && "upper selfadjoint to full");
-  
-  VERIFY( is_sorted( res = lo.template selfadjointView<Lower>().twistedBy(p_null) ));
-  res_d = lo_sym_d;
-  VERIFY(res.isApprox(res_d) && "lower selfadjoint full");
-
-
-  VERIFY( is_sorted( res = mat.template selfadjointView<Upper>() ));
-  res_d = up_sym_d;
-  VERIFY(res.isApprox(res_d) && "full selfadjoint upper to full");
-
-  VERIFY( is_sorted( res = mat.template selfadjointView<Lower>() ));
-  res_d = lo_sym_d;
-  VERIFY(res.isApprox(res_d) && "full selfadjoint lower to full");
-
-  VERIFY( is_sorted( res = up.template selfadjointView<Upper>() ));
-  res_d = up_sym_d;
-  VERIFY(res.isApprox(res_d) && "upper selfadjoint to full");
-
-  VERIFY( is_sorted( res = lo.template selfadjointView<Lower>() ));
-  res_d = lo_sym_d;
-  VERIFY(res.isApprox(res_d) && "lower selfadjoint full");
-
-
-  res.template selfadjointView<Upper>() = mat.template selfadjointView<Upper>();
-  res_d = up_sym_d.template triangularView<Upper>();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint upper to upper");
-
-  res.template selfadjointView<Lower>() = mat.template selfadjointView<Upper>();
-  res_d = up_sym_d.template triangularView<Lower>();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint upper to lower");
-
-  res.template selfadjointView<Upper>() = mat.template selfadjointView<Lower>();
-  res_d = lo_sym_d.template triangularView<Upper>();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint lower to upper");
-
-  res.template selfadjointView<Lower>() = mat.template selfadjointView<Lower>();
-  res_d = lo_sym_d.template triangularView<Lower>();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint lower to lower");
-
-  
-  
-  res.template selfadjointView<Upper>() = mat.template selfadjointView<Upper>().twistedBy(p);
-  res_d = ((p * up_sym_d) * p.inverse()).eval().template triangularView<Upper>();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint upper twisted to upper");
-  
-  res.template selfadjointView<Upper>() = mat.template selfadjointView<Lower>().twistedBy(p);
-  res_d = ((p * lo_sym_d) * p.inverse()).eval().template triangularView<Upper>();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint lower twisted to upper");
-  
-  res.template selfadjointView<Lower>() = mat.template selfadjointView<Lower>().twistedBy(p);
-  res_d = ((p * lo_sym_d) * p.inverse()).eval().template triangularView<Lower>();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint lower twisted to lower");
-  
-  res.template selfadjointView<Lower>() = mat.template selfadjointView<Upper>().twistedBy(p);
-  res_d = ((p * up_sym_d) * p.inverse()).eval().template triangularView<Lower>();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint upper twisted to lower");
-  
-  
-  res.template selfadjointView<Upper>() = up.template selfadjointView<Upper>().twistedBy(p);
-  res_d = ((p * up_sym_d) * p.inverse()).eval().template triangularView<Upper>();
-  VERIFY(res.isApprox(res_d) && "upper selfadjoint twisted to upper");
-  
-  res.template selfadjointView<Upper>() = lo.template selfadjointView<Lower>().twistedBy(p);
-  res_d = ((p * lo_sym_d) * p.inverse()).eval().template triangularView<Upper>();
-  VERIFY(res.isApprox(res_d) && "lower selfadjoint twisted to upper");
-  
-  res.template selfadjointView<Lower>() = lo.template selfadjointView<Lower>().twistedBy(p);
-  res_d = ((p * lo_sym_d) * p.inverse()).eval().template triangularView<Lower>();
-  VERIFY(res.isApprox(res_d) && "lower selfadjoint twisted to lower");
-  
-  res.template selfadjointView<Lower>() = up.template selfadjointView<Upper>().twistedBy(p);
-  res_d = ((p * up_sym_d) * p.inverse()).eval().template triangularView<Lower>();
-  VERIFY(res.isApprox(res_d) && "upper selfadjoint twisted to lower");
-
-  
-  VERIFY( is_sorted( res = mat.template selfadjointView<Upper>().twistedBy(p) ));
-  res_d = (p * up_sym_d) * p.inverse();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint upper twisted to full");
-  
-  VERIFY( is_sorted( res = mat.template selfadjointView<Lower>().twistedBy(p) ));
-  res_d = (p * lo_sym_d) * p.inverse();
-  VERIFY(res.isApprox(res_d) && "full selfadjoint lower twisted to full");
-  
-  VERIFY( is_sorted( res = up.template selfadjointView<Upper>().twistedBy(p) ));
-  res_d = (p * up_sym_d) * p.inverse();
-  VERIFY(res.isApprox(res_d) && "upper selfadjoint twisted to full");
-  
-  VERIFY( is_sorted( res = lo.template selfadjointView<Lower>().twistedBy(p) ));
-  res_d = (p * lo_sym_d) * p.inverse();
-  VERIFY(res.isApprox(res_d) && "lower selfadjoint twisted to full");
-}
-
-template<typename Scalar> void sparse_permutations_all(int size)
-{
-  CALL_SUBTEST(( sparse_permutations<ColMajor>(SparseMatrix<Scalar, ColMajor>(size,size)) ));
-  CALL_SUBTEST(( sparse_permutations<ColMajor>(SparseMatrix<Scalar, RowMajor>(size,size)) ));
-  CALL_SUBTEST(( sparse_permutations<RowMajor>(SparseMatrix<Scalar, ColMajor>(size,size)) ));
-  CALL_SUBTEST(( sparse_permutations<RowMajor>(SparseMatrix<Scalar, RowMajor>(size,size)) ));
-}
-
-void test_sparse_permutations()
-{
-  for(int i = 0; i < g_repeat; i++) {
-    int s = Eigen::internal::random<int>(1,50);
-    CALL_SUBTEST_1((  sparse_permutations_all<double>(s) ));
-    CALL_SUBTEST_2((  sparse_permutations_all<std::complex<double> >(s) ));
-  }
-
-  VERIFY((internal::is_same<internal::permutation_matrix_product<SparseMatrix<double>,OnTheRight,false,SparseShape>::ReturnType,
-                            internal::nested_eval<Product<SparseMatrix<double>,PermutationMatrix<Dynamic,Dynamic>,AliasFreeProduct>,1>::type>::value));
-
-  VERIFY((internal::is_same<internal::permutation_matrix_product<SparseMatrix<double>,OnTheLeft,false,SparseShape>::ReturnType,
-                            internal::nested_eval<Product<PermutationMatrix<Dynamic,Dynamic>,SparseMatrix<double>,AliasFreeProduct>,1>::type>::value));
-}