Fix typo in Vectowise::any()

Eigen/src/Core/VectorwiseOp.h

@@ -11,7 +11,7 @@
 #ifndef EIGEN_PARTIAL_REDUX_H
 #define EIGEN_PARTIAL_REDUX_H
 
-namespace Eigen { 
+namespace Eigen {
 
 /** \class PartialReduxExpr
   * \ingroup Core_Module
@@ -230,7 +230,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
                        isVertical   ? 1 : m_matrix.rows(),
                        isHorizontal ? 1 : m_matrix.cols());
     }
-    
+
     template<typename OtherDerived> struct OppositeExtendedType {
       typedef Replicate<OtherDerived,
                         isHorizontal ? 1 : ExpressionType::RowsAtCompileTime,
@@ -292,7 +292,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
 
     /** \returns a row (or column) vector expression of the smallest coefficient
       * of each column (or row) of the referenced expression.
-      * 
+      *
       * \warning the result is undefined if \c *this contains NaN.
       *
       * Example: \include PartialRedux_minCoeff.cpp
@@ -305,7 +305,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
 
     /** \returns a row (or column) vector expression of the largest coefficient
       * of each column (or row) of the referenced expression.
-      * 
+      *
       * \warning the result is undefined if \c *this contains NaN.
       *
       * Example: \include PartialRedux_maxCoeff.cpp
@@ -343,7 +343,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
 
     /** \returns a row (or column) vector expression of the norm
       * of each column (or row) of the referenced expression, using
-      * Blue's algorithm. 
+      * Blue's algorithm.
       * This is a vector with real entries, even if the original matrix has complex entries.
       *
       * \sa DenseBase::blueNorm() */
@@ -408,7 +408,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
       * \sa DenseBase::any() */
     EIGEN_DEVICE_FUNC
     const AnyReturnType any() const
-    { return Any(_expression()); }
+    { return AnyReturnType(_expression()); }
 
     /** \returns a row (or column) vector expression representing
       * the number of \c true coefficients of each respective column (or row).
@@ -579,7 +579,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
       EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
       return m_matrix / extendedTo(other.derived());
     }
-    
+
     /** \returns an expression where each column of row of the referenced matrix are normalized.
       * The referenced matrix is \b not modified.
       * \sa MatrixBase::normalized(), normalize()
@@ -589,8 +589,8 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
                   const ExpressionTypeNestedCleaned,
                   const typename OppositeExtendedType<typename ReturnType<internal::member_norm,RealScalar>::Type>::Type>
     normalized() const { return m_matrix.cwiseQuotient(extendedToOpposite(this->norm())); }
-    
+
-    
+
     /** Normalize in-place each row or columns of the referenced matrix.
       * \sa MatrixBase::normalize(), normalized()
       */

test/vectorwiseop.cpp

@@ -101,7 +101,7 @@ template<typename ArrayType> void vectorwiseop_array(const ArrayType& m)
 
   VERIFY_RAISES_ASSERT(m2.rowwise() /= rowvec.transpose());
   VERIFY_RAISES_ASSERT(m1.rowwise() / rowvec.transpose());
-  
+
   m2 = m1;
   // yes, there might be an aliasing issue there but ".rowwise() /="
   // is supposed to evaluate " m2.colwise().sum()" into a temporary to avoid
@@ -111,6 +111,18 @@ template<typename ArrayType> void vectorwiseop_array(const ArrayType& m)
     m2.rowwise() /= m2.colwise().sum();
     VERIFY_IS_APPROX(m2, m1.rowwise() / m1.colwise().sum());
   }
+
+  // all/any
+  Array<bool,Dynamic,Dynamic> mb(rows,cols);
+  mb = (m1.real()<=0.7).colwise().all();
+  VERIFY( (mb.col(c) == (m1.real().col(c)<=0.7).all()).all() );
+  mb = (m1.real()<=0.7).rowwise().all();
+  VERIFY( (mb.row(r) == (m1.real().row(r)<=0.7).all()).all() );
+
+  mb = (m1.real()>=0.7).colwise().any();
+  VERIFY( (mb.col(c) == (m1.real().col(c)>=0.7).any()).all() );
+  mb = (m1.real()>=0.7).rowwise().any();
+  VERIFY( (mb.row(r) == (m1.real().row(r)>=0.7).any()).all() );
 }
 
 template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
@@ -172,19 +184,19 @@ template<typename MatrixType> void vectorwiseop_matrix(const MatrixType& m)
 
   VERIFY_RAISES_ASSERT(m2.rowwise() -= rowvec.transpose());
   VERIFY_RAISES_ASSERT(m1.rowwise() - rowvec.transpose());
-  
+
   // test norm
   rrres = m1.colwise().norm();
   VERIFY_IS_APPROX(rrres(c), m1.col(c).norm());
   rcres = m1.rowwise().norm();
   VERIFY_IS_APPROX(rcres(r), m1.row(r).norm());
-  
+
   // test normalized
   m2 = m1.colwise().normalized();
   VERIFY_IS_APPROX(m2.col(c), m1.col(c).normalized());
   m2 = m1.rowwise().normalized();
   VERIFY_IS_APPROX(m2.row(r), m1.row(r).normalized());
-  
+
   // test normalize
   m2 = m1;
   m2.colwise().normalize();