From 35f7829af10c61e33dd2e2a7a015058e11a11ea0 Mon Sep 17 00:00:00 2001
From: Stanislaw Halik <sthalik@misaki.pl>
Date: Sat, 25 Mar 2017 14:17:07 +0100
Subject: update

---
 eigen/test/eigen2/eigen2_sum.cpp | 71 ----------------------------------------
 1 file changed, 71 deletions(-)
 delete mode 100644 eigen/test/eigen2/eigen2_sum.cpp

(limited to 'eigen/test/eigen2/eigen2_sum.cpp')

diff --git a/eigen/test/eigen2/eigen2_sum.cpp b/eigen/test/eigen2/eigen2_sum.cpp
deleted file mode 100644
index b47057c..0000000
--- a/eigen/test/eigen2/eigen2_sum.cpp
+++ /dev/null
@@ -1,71 +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) 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 matrixSum(const MatrixType& m)
-{
-  typedef typename MatrixType::Scalar Scalar;
-
-  int rows = m.rows();
-  int cols = m.cols();
-
-  MatrixType m1 = MatrixType::Random(rows, cols);
-
-  VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows, cols).sum(), Scalar(1));
-  VERIFY_IS_APPROX(MatrixType::Ones(rows, cols).sum(), Scalar(float(rows*cols))); // the float() here to shut up excessive MSVC warning about int->complex conversion being lossy
-  Scalar x = Scalar(0);
-  for(int i = 0; i < rows; i++) for(int j = 0; j < cols; j++) x += m1(i,j);
-  VERIFY_IS_APPROX(m1.sum(), x);
-}
-
-template<typename VectorType> void vectorSum(const VectorType& w)
-{
-  typedef typename VectorType::Scalar Scalar;
-  int size = w.size();
-
-  VectorType v = VectorType::Random(size);
-  for(int i = 1; i < size; i++)
-  {
-    Scalar s = Scalar(0);
-    for(int j = 0; j < i; j++) s += v[j];
-    VERIFY_IS_APPROX(s, v.start(i).sum());
-  }
-
-  for(int i = 0; i < size-1; i++)
-  {
-    Scalar s = Scalar(0);
-    for(int j = i; j < size; j++) s += v[j];
-    VERIFY_IS_APPROX(s, v.end(size-i).sum());
-  }
-
-  for(int i = 0; i < size/2; i++)
-  {
-    Scalar s = Scalar(0);
-    for(int j = i; j < size-i; j++) s += v[j];
-    VERIFY_IS_APPROX(s, v.segment(i, size-2*i).sum());
-  }
-}
-
-void test_eigen2_sum()
-{
-  for(int i = 0; i < g_repeat; i++) {
-    CALL_SUBTEST_1( matrixSum(Matrix<float, 1, 1>()) );
-    CALL_SUBTEST_2( matrixSum(Matrix2f()) );
-    CALL_SUBTEST_3( matrixSum(Matrix4d()) );
-    CALL_SUBTEST_4( matrixSum(MatrixXcf(3, 3)) );
-    CALL_SUBTEST_5( matrixSum(MatrixXf(8, 12)) );
-    CALL_SUBTEST_6( matrixSum(MatrixXi(8, 12)) );
-  }
-  for(int i = 0; i < g_repeat; i++) {
-    CALL_SUBTEST_5( vectorSum(VectorXf(5)) );
-    CALL_SUBTEST_7( vectorSum(VectorXd(10)) );
-    CALL_SUBTEST_5( vectorSum(VectorXf(33)) );
-  }
-}
-- 
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