* rename PartialRedux to VectorwiseOp
* add VectorwiseOp's +, -, +=, -= operators
diff --git a/test/array.cpp b/test/array.cpp
index 053f973..37deeaa 100644
--- a/test/array.cpp
+++ b/test/array.cpp
@@ -33,7 +33,8 @@
typedef typename MatrixType::Scalar Scalar;
typedef typename NumTraits<Scalar>::Real RealScalar;
- typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
+ typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> ColVectorType;
+ typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
int rows = m.rows();
int cols = m.cols();
@@ -42,6 +43,9 @@
m2 = MatrixType::Random(rows, cols),
m3(rows, cols);
+ ColVectorType cv1 = ColVectorType::Random(rows);
+ RowVectorType rv1 = RowVectorType::Random(cols);
+
Scalar s1 = ei_random<Scalar>(),
s2 = ei_random<Scalar>();
@@ -62,6 +66,16 @@
if (!ei_isApprox(m1.sum(), (m1+m2).sum()))
VERIFY_IS_NOT_APPROX(((m1+m2).rowwise().sum()).sum(), m1.sum());
VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(ei_scalar_sum_op<Scalar>()));
+
+ // vector-wise ops
+ m3 = m1;
+ VERIFY_IS_APPROX(m3.colwise() += cv1, m1.colwise() + cv1);
+ m3 = m1;
+ VERIFY_IS_APPROX(m3.colwise() -= cv1, m1.colwise() - cv1);
+ m3 = m1;
+ VERIFY_IS_APPROX(m3.rowwise() += rv1, m1.rowwise() + rv1);
+ m3 = m1;
+ VERIFY_IS_APPROX(m3.rowwise() -= rv1, m1.rowwise() - rv1);
}
template<typename MatrixType> void comparisons(const MatrixType& m)
@@ -89,13 +103,13 @@
VERIFY(! (m1.cwise() < m3).all() );
VERIFY(! (m1.cwise() > m3).all() );
}
-
+
// comparisons to scalar
VERIFY( (m1.cwise() != (m1(r,c)+1) ).any() );
VERIFY( (m1.cwise() > (m1(r,c)-1) ).any() );
VERIFY( (m1.cwise() < (m1(r,c)+1) ).any() );
VERIFY( (m1.cwise() == m1(r,c) ).any() );
-
+
// test Select
VERIFY_IS_APPROX( (m1.cwise()<m2).select(m1,m2), m1.cwise().min(m2) );
VERIFY_IS_APPROX( (m1.cwise()>m2).select(m1,m2), m1.cwise().max(m2) );
@@ -112,7 +126,7 @@
.select(m1,0), m3);
// even shorter version:
VERIFY_IS_APPROX( (m1.cwise().abs().cwise()<mid).select(0,m1), m3);
-
+
// count
VERIFY(((m1.cwise().abs().cwise()+1).cwise()>RealScalar(0.1)).count() == rows*cols);
VERIFY_IS_APPROX(((m1.cwise().abs().cwise()+1).cwise()>RealScalar(0.1)).colwise().count(), RowVectorXi::Constant(cols,rows));