/usr/include/ASL/num/aslDataResampling.h is in libasl-dev 0.1.7-2.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 | /*
* Advanced Simulation Library <http://asl.org.il>
*
* Copyright 2015 Avtech Scientific <http://avtechscientific.com>
*
*
* This file is part of Advanced Simulation Library (ASL).
*
* ASL is free software: you can redistribute it and/or modify it
* under the terms of the GNU Affero General Public License as
* published by the Free Software Foundation, version 3 of the License.
*
* ASL 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with ASL. If not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef ASLDATARESAMPLING_H
#define ASLDATARESAMPLING_H
#include "aslSingleKernelNM.h"
#include "math/aslVectors.h"
//#include <CL/cl.hpp>
// Supply "cl.hpp" with ASL, since it is not present in OpenCL 2.0
// Remove the file after switching to OpenCL 2.1
#include "acl/cl.hpp"
namespace acl
{
class VectorOfElementsData;
}
namespace asl
{
class VectorTemplate;
template <typename V> class DataWithGhostNodes;
typedef DataWithGhostNodes<acl::VectorOfElementsData> DataWithGhostNodesACLData;
typedef std::shared_ptr<DataWithGhostNodesACLData> SPDataWithGhostNodesACLData;
class AbstractDataWithGhostNodes;
typedef std::shared_ptr<AbstractDataWithGhostNodes> SPAbstractDataWithGhostNodes;
/// Algorithm for generation of coarsed dataset
/**
\ingroup NumMethods
\todo make and test
*/
class DataCoarser: public SingleKernelNM
{
public:
typedef SPDataWithGhostNodesACLData Data;
private:
Data dataIn;
Data dataOut;
const VectorTemplate* vectorTemplate;
virtual void init0();
public:
DataCoarser();
DataCoarser(Data dIn);
inline Data getDataOut();
};
typedef std::shared_ptr<DataCoarser> SPDataCoarser;
/// \ingroup DataUtilities
SPDataWithGhostNodesACLData coarseData(SPDataWithGhostNodesACLData d);
/// Algorithm for generation of coarsed dataset
/**
\ingroup NumMethods
\todo make and test
*/
class DataClipper: public SingleKernelNM
{
public:
typedef SPDataWithGhostNodesACLData Data;
private:
Data dataIn;
Data dataOut;
AVec<int> a0;
AVec<int> aE;
virtual void init0();
public:
DataClipper();
DataClipper(Data dIn, AVec<int> a0, AVec<int> aE);
inline Data getDataOut();
};
typedef std::shared_ptr<DataClipper> SPDataClipper;
/// \ingroup DataUtilities
inline SPDataWithGhostNodesACLData clipData(SPDataWithGhostNodesACLData d,
AVec<int> a0,
AVec<int> aE);
//----------------------------- Implementation -----------------------
DataCoarser::Data DataCoarser::getDataOut()
{
return dataOut;
}
DataClipper::Data DataClipper::getDataOut()
{
return dataOut;
}
inline SPDataWithGhostNodesACLData coarseData(SPDataWithGhostNodesACLData d)
{
DataCoarser dc(d);
dc.init();
dc.execute();
return dc.getDataOut();
}
inline SPDataWithGhostNodesACLData clipData(SPDataWithGhostNodesACLData d,
AVec<int> a0,
AVec<int> aE)
{
asl::DataClipper dcl(d, a0,aE);
dcl.init();
dcl.execute();
return dcl.getDataOut();
}
} // asl
#endif // ASLDATARESAMPLING_H
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