mirror of
https://github.com/OPM/ResInsight.git
synced 2025-01-01 03:37:15 -06:00
57 lines
2.3 KiB
C++
57 lines
2.3 KiB
C++
/////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Copyright (C) 2022 Equinor ASA
|
|
//
|
|
// ResInsight is free software: you can redistribute it and/or modify
|
|
// it under the terms of the GNU General Public License as published by
|
|
// the Free Software Foundation, either version 3 of the License, or
|
|
// (at your option) any later version.
|
|
//
|
|
// ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY
|
|
// WARRANTY; without even the implied warranty of MERCHANTABILITY or
|
|
// FITNESS FOR A PARTICULAR PURPOSE.
|
|
//
|
|
// See the GNU General Public License at <http://www.gnu.org/licenses/gpl.html>
|
|
// for more details.
|
|
//
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#include "gtest/gtest.h"
|
|
|
|
#include "RigConvexHull.h"
|
|
|
|
#include "cvfVector3.h"
|
|
|
|
#include <vector>
|
|
|
|
//--------------------------------------------------------------------------------------------------
|
|
///
|
|
//--------------------------------------------------------------------------------------------------
|
|
TEST( RigConvexHullTests, SimpleExample )
|
|
{
|
|
std::vector<cvf::Vec3d> points = { cvf::Vec3d( 0.0, 0.0, 0.0 ),
|
|
cvf::Vec3d( 0.0, 1.0, 0.0 ),
|
|
cvf::Vec3d( 1.0, 1.0, 0.0 ),
|
|
cvf::Vec3d( 1.0, 0.0, 0.0 ),
|
|
cvf::Vec3d( 1.0, 1.0, 0.0 ),
|
|
cvf::Vec3d( 0.5, 0.5, 0.0 ),
|
|
cvf::Vec3d( 0.25, 0.25, 0.0 ),
|
|
cvf::Vec3d( 0.5, 1.25, 0.0 ),
|
|
cvf::Vec3d( 0.5, 0.75, 0.0 ) };
|
|
|
|
std::vector<cvf::Vec3d> convexHull = RigConvexHull::compute2d( points );
|
|
|
|
std::vector<cvf::Vec3d> expectedPoints = { cvf::Vec3d( 0, 0, 0 ),
|
|
cvf::Vec3d( 0, 1, 0 ),
|
|
cvf::Vec3d( 0.5, 1.25, 0 ),
|
|
cvf::Vec3d( 1, 1, 0 ),
|
|
cvf::Vec3d( 1, 0, 0 ) };
|
|
|
|
EXPECT_EQ( 5u, convexHull.size() );
|
|
for ( size_t i = 0; i < convexHull.size(); i++ )
|
|
{
|
|
EXPECT_EQ( expectedPoints[i].x(), convexHull[i].x() );
|
|
EXPECT_EQ( expectedPoints[i].y(), convexHull[i].y() );
|
|
}
|
|
}
|