aboutsummaryrefslogtreecommitdiff
path: root/test/eigen2/eigen2_basicstuff.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'test/eigen2/eigen2_basicstuff.cpp')
-rw-r--r--test/eigen2/eigen2_basicstuff.cpp105
1 files changed, 0 insertions, 105 deletions
diff --git a/test/eigen2/eigen2_basicstuff.cpp b/test/eigen2/eigen2_basicstuff.cpp
deleted file mode 100644
index dd2dec1ef..000000000
--- a/test/eigen2/eigen2_basicstuff.cpp
+++ /dev/null
@@ -1,105 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra. Eigen itself is part of the KDE project.
-//
-// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
-//
-// 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/.
-
-#include "main.h"
-
-template<typename MatrixType> void basicStuff(const MatrixType& m)
-{
- typedef typename MatrixType::Scalar Scalar;
- typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
-
- int rows = m.rows();
- int cols = m.cols();
-
- // this test relies a lot on Random.h, and there's not much more that we can do
- // to test it, hence I consider that we will have tested Random.h
- MatrixType m1 = MatrixType::Random(rows, cols),
- m2 = MatrixType::Random(rows, cols),
- m3(rows, cols),
- mzero = MatrixType::Zero(rows, cols),
- square = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>::Random(rows, rows);
- VectorType v1 = VectorType::Random(rows),
- vzero = VectorType::Zero(rows);
-
- Scalar x = ei_random<Scalar>();
-
- int r = ei_random<int>(0, rows-1),
- c = ei_random<int>(0, cols-1);
-
- m1.coeffRef(r,c) = x;
- VERIFY_IS_APPROX(x, m1.coeff(r,c));
- m1(r,c) = x;
- VERIFY_IS_APPROX(x, m1(r,c));
- v1.coeffRef(r) = x;
- VERIFY_IS_APPROX(x, v1.coeff(r));
- v1(r) = x;
- VERIFY_IS_APPROX(x, v1(r));
- v1[r] = x;
- VERIFY_IS_APPROX(x, v1[r]);
-
- VERIFY_IS_APPROX( v1, v1);
- VERIFY_IS_NOT_APPROX( v1, 2*v1);
- VERIFY_IS_MUCH_SMALLER_THAN( vzero, v1);
- if(NumTraits<Scalar>::HasFloatingPoint)
- VERIFY_IS_MUCH_SMALLER_THAN( vzero, v1.norm());
- VERIFY_IS_NOT_MUCH_SMALLER_THAN(v1, v1);
- VERIFY_IS_APPROX( vzero, v1-v1);
- VERIFY_IS_APPROX( m1, m1);
- VERIFY_IS_NOT_APPROX( m1, 2*m1);
- VERIFY_IS_MUCH_SMALLER_THAN( mzero, m1);
- VERIFY_IS_NOT_MUCH_SMALLER_THAN(m1, m1);
- VERIFY_IS_APPROX( mzero, m1-m1);
-
- // always test operator() on each read-only expression class,
- // in order to check const-qualifiers.
- // indeed, if an expression class (here Zero) is meant to be read-only,
- // hence has no _write() method, the corresponding MatrixBase method (here zero())
- // should return a const-qualified object so that it is the const-qualified
- // operator() that gets called, which in turn calls _read().
- VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows,cols)(r,c), static_cast<Scalar>(1));
-
- // now test copying a row-vector into a (column-)vector and conversely.
- square.col(r) = square.row(r).eval();
- Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
- Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
- rv = square.row(r);
- cv = square.col(r);
- VERIFY_IS_APPROX(rv, cv.transpose());
-
- if(cols!=1 && rows!=1 && MatrixType::SizeAtCompileTime!=Dynamic)
- {
- VERIFY_RAISES_ASSERT(m1 = (m2.block(0,0, rows-1, cols-1)));
- }
-
- VERIFY_IS_APPROX(m3 = m1,m1);
- MatrixType m4;
- VERIFY_IS_APPROX(m4 = m1,m1);
-
- // test swap
- m3 = m1;
- m1.swap(m2);
- VERIFY_IS_APPROX(m3, m2);
- if(rows*cols>=3)
- {
- VERIFY_IS_NOT_APPROX(m3, m1);
- }
-}
-
-void test_eigen2_basicstuff()
-{
- for(int i = 0; i < g_repeat; i++) {
- CALL_SUBTEST_1( basicStuff(Matrix<float, 1, 1>()) );
- CALL_SUBTEST_2( basicStuff(Matrix4d()) );
- CALL_SUBTEST_3( basicStuff(MatrixXcf(3, 3)) );
- CALL_SUBTEST_4( basicStuff(MatrixXi(8, 12)) );
- CALL_SUBTEST_5( basicStuff(MatrixXcd(20, 20)) );
- CALL_SUBTEST_6( basicStuff(Matrix<float, 100, 100>()) );
- CALL_SUBTEST_7( basicStuff(Matrix<long double,Dynamic,Dynamic>(10,10)) );
- }
-}