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s/asMatrix()/matrix()
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@@ -51,14 +51,14 @@ template<typename MatrixType> void array(const MatrixType& m)
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// scalar addition
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VERIFY_IS_APPROX(m1.array() + s1, s1 + m1.array());
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VERIFY_IS_APPROX((m1.array() + s1).asMatrix(), MatrixType::Constant(rows,cols,s1) + m1);
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VERIFY_IS_APPROX(((m1*Scalar(2)).array() - s2).asMatrix(), (m1+m1) - MatrixType::Constant(rows,cols,s2) );
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VERIFY_IS_APPROX((m1.array() + s1).matrix(), MatrixType::Constant(rows,cols,s1) + m1);
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VERIFY_IS_APPROX(((m1*Scalar(2)).array() - s2).matrix(), (m1+m1) - MatrixType::Constant(rows,cols,s2) );
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m3 = m1;
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m3.array() += s2;
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VERIFY_IS_APPROX(m3, (m1.array() + s2).asMatrix());
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VERIFY_IS_APPROX(m3, (m1.array() + s2).matrix());
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m3 = m1;
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m3.array() -= s1;
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VERIFY_IS_APPROX(m3, (m1.array() - s1).asMatrix());
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VERIFY_IS_APPROX(m3, (m1.array() - s1).matrix());
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// reductions
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VERIFY_IS_APPROX(m1.colwise().sum().sum(), m1.sum());
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@@ -130,8 +130,8 @@ template<typename MatrixType> void comparisons(const MatrixType& m)
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// count
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VERIFY(((m1.array().abs()+1)>RealScalar(0.1)).count() == rows*cols);
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// TODO allows colwise/rowwise for array
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VERIFY_IS_APPROX(((m1.array().abs()+1)>RealScalar(0.1)).asMatrix().colwise().count(), RowVectorXi::Constant(cols,rows));
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VERIFY_IS_APPROX(((m1.array().abs()+1)>RealScalar(0.1)).asMatrix().rowwise().count(), VectorXi::Constant(rows, cols));
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VERIFY_IS_APPROX(((m1.array().abs()+1)>RealScalar(0.1)).matrix().colwise().count(), RowVectorXi::Constant(cols,rows));
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VERIFY_IS_APPROX(((m1.array().abs()+1)>RealScalar(0.1)).matrix().rowwise().count(), VectorXi::Constant(rows, cols));
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}
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template<typename VectorType> void lpNorm(const VectorType& v)
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@@ -95,7 +95,7 @@ template<typename Scalar> void quaternion(void)
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VERIFY_IS_APPROX(-v1.normalized(),(q2.setFromTwoVectors(v1,-v1)*v1).normalized());
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if (ei_is_same_type<Scalar,double>::ret)
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{
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v3 = (v1.array()+eps).asMatrix();
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v3 = (v1.array()+eps).matrix();
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VERIFY_IS_APPROX( v3.normalized(),(q2.setFromTwoVectors(v1, v3)*v1).normalized());
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VERIFY_IS_APPROX(-v3.normalized(),(q2.setFromTwoVectors(v1,-v3)*v1).normalized());
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}
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@@ -64,7 +64,7 @@ template<typename MatrixType> void nomalloc(const MatrixType& m)
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VERIFY_IS_APPROX((m1+m2)*s1, s1*m1+s1*m2);
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VERIFY_IS_APPROX((m1+m2)(r,c), (m1(r,c))+(m2(r,c)));
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VERIFY_IS_APPROX(m1.cwiseProduct(m1.block(0,0,rows,cols)), (m1.array()*m1.array()).asMatrix());
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VERIFY_IS_APPROX(m1.cwiseProduct(m1.block(0,0,rows,cols)), (m1.array()*m1.array()).matrix());
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if (MatrixType::RowsAtCompileTime<EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD) {
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// If the matrices are too large, we have better to use the optimized GEMM
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// routines which allocates temporaries. However, on some platforms
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