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bug #698: fix linspaced for integer types.

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This commit is contained in:
Gael Guennebaud
2016-02-01 14:25:34 +01:00
parent 2c3224924b
commit e1d219e5c9
2 changed files with 70 additions and 24 deletions
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31
test/nullary.cpp
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@@ -48,30 +48,32 @@ void testVectorType(const VectorType& base)
VectorType m(base);
m.setLinSpaced(size,low,high);
if(!NumTraits<Scalar>::IsInteger)
{
VectorType n(size);
for (int i=0; i<size; ++i)
n(i) = low+i*step;
VERIFY_IS_APPROX(m,n);
}
VectorType n(size);
for (int i=0; i<size; ++i)
n(i) = low+i*step;
n(i) = size==1 ? low : (low + ((high-low)*Scalar(i))/(size-1));
VERIFY_IS_APPROX(m,n);
// random access version
m = VectorType::LinSpaced(size,low,high);
VERIFY_IS_APPROX(m,n);
// Assignment of a RowVectorXd to a MatrixXd (regression test for bug #79).
VERIFY( (MatrixXd(RowVectorXd::LinSpaced(3, 0, 1)) - RowVector3d(0, 0.5, 1)).norm() < std::numeric_limits<Scalar>::epsilon() );
// These guys sometimes fail! This is not good. Any ideas how to fix them!?
//VERIFY( m(m.size()-1) == high );
//VERIFY( m(0) == low );
VERIFY( internal::isApprox(m(m.size()-1),high) );
VERIFY( size==1 || internal::isApprox(m(0),low) );
// sequential access version
m = VectorType::LinSpaced(Sequential,size,low,high);
VERIFY_IS_APPROX(m,n);
// These guys sometimes fail! This is not good. Any ideas how to fix them!?
//VERIFY( m(m.size()-1) == high );
//VERIFY( m(0) == low );
VERIFY( internal::isApprox(m(m.size()-1),high) );
VERIFY( size==1 || internal::isApprox(m(0),low) );
// check whether everything works with row and col major vectors
Matrix<Scalar,Dynamic,1> row_vector(size);
@@ -126,5 +128,12 @@ void test_nullary()
CALL_SUBTEST_8( testVectorType(Vector4f()) );
CALL_SUBTEST_8( testVectorType(Matrix<float,8,1>()) );
CALL_SUBTEST_8( testVectorType(Matrix<float,1,1>()) );
CALL_SUBTEST_9( testVectorType(VectorXi(internal::random<int>(1,300))) );
}
#ifdef EIGEN_TEST_PART_6
// Assignment of a RowVectorXd to a MatrixXd (regression test for bug #79).
VERIFY( (MatrixXd(RowVectorXd::LinSpaced(3, 0, 1)) - RowVector3d(0, 0.5, 1)).norm() < std::numeric_limits<double>::epsilon() );
#endif
}