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// $Id$ |
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/* |
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************************************************************ |
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* Copyright 2006 by ACcESS MNRF * |
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* * |
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* http://www.access.edu.au * |
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* Primary Business: Queensland, Australia * |
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* Licensed under the Open Software License version 3.0 * |
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* http://www.opensource.org/licenses/osl-3.0.php * |
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* * |
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************************************************************ |
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*/ |
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|
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#include "DataExpanded.h" |
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#include "DataException.h" |
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#include "DataConstant.h" |
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#include "DataTagged.h" |
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|
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#include <boost/python/extract.hpp> |
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|
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using namespace std; |
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using namespace boost::python; |
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using namespace boost; |
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|
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namespace escript { |
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|
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DataExpanded::DataExpanded(const boost::python::numeric::array& value, |
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const FunctionSpace& what) |
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: DataAbstract(what) |
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{ |
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DataArrayView::ShapeType tempShape; |
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// |
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// extract the shape of the python numarray |
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for (int i=0; i<value.getrank(); i++) { |
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tempShape.push_back(extract<int>(value.getshape()[i])); |
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} |
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// |
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// initialise the data array for this object |
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initialise(tempShape,what.getNumSamples(),what.getNumDPPSample()); |
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// |
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// copy the given value to every data point |
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copy(value); |
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} |
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|
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DataExpanded::DataExpanded(const DataExpanded& other) |
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: DataAbstract(other.getFunctionSpace()), |
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m_data(other.m_data) |
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{ |
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// |
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// create the view for the data |
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DataArrayView temp(m_data.getData(),other.getPointDataView().getShape()); |
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setPointDataView(temp); |
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} |
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|
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DataExpanded::DataExpanded(const DataConstant& other) |
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: DataAbstract(other.getFunctionSpace()) |
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{ |
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// |
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// initialise the data array for this object |
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initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample()); |
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// |
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// DataConstant only has one value, copy this to every data point |
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copy(other.getPointDataView()); |
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} |
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|
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DataExpanded::DataExpanded(const DataTagged& other) |
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: DataAbstract(other.getFunctionSpace()) |
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{ |
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// |
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// initialise the data array for this object |
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initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample()); |
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// |
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// for each data point in this object, extract and copy the corresponding data |
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// value from the given DataTagged object |
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int i,j; |
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DataArrayView::ValueType::size_type numRows=m_data.getNumRows(); |
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DataArrayView::ValueType::size_type numCols=m_data.getNumCols(); |
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#pragma omp parallel for private(i,j) schedule(static) |
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for (i=0;i<numRows;i++) { |
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for (j=0;j<numCols;j++) { |
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try { |
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getPointDataView().copy(getPointOffset(i,j), |
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other.getPointDataView(), |
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other.getPointOffset(i,j)); |
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} |
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catch (std::exception& e) { |
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cout << e.what() << endl; |
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} |
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} |
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} |
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} |
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|
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DataExpanded::DataExpanded(const DataExpanded& other, |
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const DataArrayView::RegionType& region) |
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: DataAbstract(other.getFunctionSpace()) |
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{ |
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// |
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// get the shape of the slice |
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DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region)); |
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// |
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// initialise this Data object to the shape of the slice |
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initialise(shape,other.getNumSamples(),other.getNumDPPSample()); |
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// |
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// copy the data |
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DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region); |
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DataArrayView::ValueType::size_type numRows=m_data.getNumRows(); |
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DataArrayView::ValueType::size_type numCols=m_data.getNumCols(); |
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int i,j; |
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#pragma omp parallel for private(i,j) schedule(static) |
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for (i=0;i<numRows;i++) { |
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for (j=0;j<numCols;j++) { |
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try { |
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getPointDataView().copySlice(getPointOffset(i,j), |
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other.getPointDataView(), |
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other.getPointOffset(i,j), |
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region_loop_range); |
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} |
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catch (std::exception& e) { |
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cout << e.what() << endl; |
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} |
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} |
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} |
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} |
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|
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DataExpanded::DataExpanded(const DataArrayView& value, |
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const FunctionSpace& what) |
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: DataAbstract(what) |
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{ |
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// |
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// get the shape of the given data value |
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DataArrayView::ShapeType tempShape=value.getShape(); |
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// |
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// initialise this Data object to the shape of the given data value |
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initialise(tempShape,what.getNumSamples(),what.getNumDPPSample()); |
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// |
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// copy the given value to every data point |
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copy(value); |
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} |
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|
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DataExpanded::DataExpanded(const FunctionSpace& what, |
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const DataArrayView::ShapeType &shape, |
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const DataArrayView::ValueType &data) |
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: DataAbstract(what) |
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{ |
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// |
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// create the view of the data |
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initialise(shape,what.getNumSamples(),what.getNumDPPSample()); |
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// |
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// copy the data in the correct format |
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m_data.getData()=data; |
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} |
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|
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DataExpanded::~DataExpanded() |
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{ |
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} |
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|
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DataAbstract* |
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DataExpanded::getSlice(const DataArrayView::RegionType& region) const |
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{ |
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return new DataExpanded(*this,region); |
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} |
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|
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void |
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DataExpanded::setSlice(const DataAbstract* value, |
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const DataArrayView::RegionType& region) |
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{ |
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const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value); |
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if (tempDataExp==0) { |
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throw DataException("Programming error - casting to DataExpanded."); |
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} |
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// |
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// get shape of slice |
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DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region)); |
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DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region); |
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// |
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// check shape |
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if (getPointDataView().getRank()!=region.size()) { |
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throw DataException("Error - Invalid slice region."); |
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} |
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if (tempDataExp->getPointDataView().getRank()>0 && !value->getPointDataView().checkShape(shape)) { |
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throw DataException (value->getPointDataView().createShapeErrorMessage( |
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"Error - Couldn't copy slice due to shape mismatch.",shape)); |
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} |
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// |
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// copy the data from the slice into this object |
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DataArrayView::ValueType::size_type numRows=m_data.getNumRows(); |
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DataArrayView::ValueType::size_type numCols=m_data.getNumCols(); |
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int i, j; |
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#pragma omp parallel for private(i,j) schedule(static) |
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for (i=0;i<numRows;i++) { |
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for (j=0;j<numCols;j++) { |
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getPointDataView().copySliceFrom(getPointOffset(i,j), |
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tempDataExp->getPointDataView(), |
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tempDataExp->getPointOffset(i,j), |
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region_loop_range); |
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} |
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} |
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} |
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|
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void |
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DataExpanded::copy(const DataArrayView& value) |
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{ |
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// |
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// copy a single value to every data point in this object |
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int nRows=m_data.getNumRows(); |
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int nCols=m_data.getNumCols(); |
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int i,j; |
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#pragma omp parallel for private(i,j) schedule(static) |
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for (i=0;i<nRows;i++) { |
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for (j=0;j<nCols;j++) { |
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// NOTE: An exception may be thown from this call if |
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// DOASSERT is on which of course will play |
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// havoc with the omp threads. Run single threaded |
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// if using DOASSERT. |
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getPointDataView().copy(m_data.index(i,j),value); |
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} |
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} |
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} |
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|
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void |
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DataExpanded::copy(const boost::python::numeric::array& value) |
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{ |
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// |
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// first convert the numarray into a DataArray object |
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DataArray temp(value); |
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// |
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// check the input shape matches this shape |
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if (!getPointDataView().checkShape(temp.getView().getShape())) { |
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throw DataException(getPointDataView().createShapeErrorMessage( |
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"Error - (DataExpanded) Cannot copy due to shape mismatch.", |
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temp.getView().getShape())); |
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} |
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// |
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// now copy over the data |
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copy(temp.getView()); |
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} |
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|
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void |
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DataExpanded::initialise(const DataArrayView::ShapeType& shape, |
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int noSamples, |
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int noDataPointsPerSample) |
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{ |
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// |
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// resize data array to the required size |
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m_data.resize(noSamples,noDataPointsPerSample,DataArrayView::noValues(shape)); |
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// |
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// create the data view of the data array |
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DataArrayView temp(m_data.getData(),shape); |
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setPointDataView(temp); |
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} |
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|
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string |
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DataExpanded::toString() const |
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{ |
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stringstream temp; |
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FunctionSpace fs=getFunctionSpace(); |
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// |
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// create a temporary view as the offset will be changed |
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DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset()); |
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for (int i=0;i<m_data.getNumRows();i++) { |
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for (int j=0;j<m_data.getNumCols();j++) { |
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tempView.setOffset(m_data.index(i,j)); |
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stringstream suffix; |
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suffix << "( id: " << i << ", ref: " << fs.getReferenceNoFromSampleNo(i) << ", pnt: " << j << ")"; |
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temp << tempView.toString(suffix.str()); |
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if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) { |
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temp << endl; |
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} |
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} |
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} |
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return temp.str(); |
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} |
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|
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DataArrayView::ValueType::size_type |
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DataExpanded::getPointOffset(int sampleNo, |
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int dataPointNo) const |
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{ |
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return m_data.index(sampleNo,dataPointNo); |
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} |
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|
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DataArrayView |
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DataExpanded::getDataPoint(int sampleNo, |
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int dataPointNo) |
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{ |
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DataArrayView temp(m_data.getData(),getPointDataView().getShape(),m_data.index(sampleNo,dataPointNo)); |
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return temp; |
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} |
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|
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DataArrayView::ValueType::size_type |
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DataExpanded::getLength() const |
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{ |
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return m_data.size(); |
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} |
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|
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void |
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DataExpanded::setRefValue(int ref, |
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const DataArray& value) |
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{ |
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// |
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// Get the number of samples and data-points per sample. |
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int numSamples = getNumSamples(); |
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int numDPPSample = getNumDPPSample(); |
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|
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// |
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// Determine the sample number which corresponds to this reference number. |
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int sampleNo = -1; |
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int tempRef = -1; |
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for (int n=0; n<numSamples; n++) { |
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tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n); |
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if (tempRef == ref) { |
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sampleNo = n; |
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break; |
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} |
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} |
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if (sampleNo == -1) { |
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throw DataException("DataExpanded::setRefValue error: invalid ref number supplied."); |
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} |
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|
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for (int n=0; n<numDPPSample; n++) { |
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// |
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// Get *each* data-point in the sample in turn. |
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DataArrayView pointView = getDataPoint(sampleNo, n); |
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// |
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// Assign the values in the DataArray to this data-point. |
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pointView.copy(value.getView()); |
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} |
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} |
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|
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void |
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DataExpanded::getRefValue(int ref, |
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DataArray& value) |
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{ |
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// |
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// Get the number of samples and data-points per sample. |
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int numSamples = getNumSamples(); |
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int numDPPSample = getNumDPPSample(); |
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|
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// |
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// Determine the sample number which corresponds to this reference number |
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int sampleNo = -1; |
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int tempRef = -1; |
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for (int n=0; n<numSamples; n++) { |
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tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n); |
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if (tempRef == ref) { |
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sampleNo = n; |
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break; |
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} |
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} |
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if (sampleNo == -1) { |
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throw DataException("DataExpanded::getRefValue error: invalid ref number supplied."); |
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} |
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|
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// |
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// Get the *first* data-point associated with this sample number. |
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DataArrayView pointView = getDataPoint(sampleNo, 0); |
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|
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// |
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// Load the values from this data-point into the DataArray |
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value.getView().copy(pointView); |
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} |
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|
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int |
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DataExpanded::archiveData(ofstream& archiveFile, |
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const DataArrayView::ValueType::size_type noValues) const |
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{ |
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return(m_data.archiveData(archiveFile, noValues)); |
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} |
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|
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int |
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DataExpanded::extractData(ifstream& archiveFile, |
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const DataArrayView::ValueType::size_type noValues) |
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{ |
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return(m_data.extractData(archiveFile, noValues)); |
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} |
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|
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void |
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DataExpanded::copyAll(const boost::python::numeric::array& value) { |
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// |
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// Get the number of samples and data-points per sample. |
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int numSamples = getNumSamples(); |
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int numDataPointsPerSample = getNumDPPSample(); |
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int dataPointRank = getPointDataView().getRank(); |
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ShapeType dataPointShape = getPointDataView().getShape(); |
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// |
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// check rank: |
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if (value.getrank()!=dataPointRank+1) |
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throw DataException("Rank of numarray does not match Data object rank"); |
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if (value.getshape()[0]!=numSamples*numDataPointsPerSample) |
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throw DataException("leading dimension of numarray is too small"); |
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// |
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int dataPoint = 0; |
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for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
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for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
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DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo); |
| 395 |
if (dataPointRank==0) { |
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dataPointView()=extract<double>(value[dataPoint]); |
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} else if (dataPointRank==1) { |
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for (int i=0; i<dataPointShape[0]; i++) { |
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dataPointView(i)=extract<double>(value[dataPoint][i]); |
| 400 |
} |
| 401 |
} else if (dataPointRank==2) { |
| 402 |
for (int i=0; i<dataPointShape[0]; i++) { |
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for (int j=0; j<dataPointShape[1]; j++) { |
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dataPointView(i,j)=extract<double>(value[dataPoint][i][j]); |
| 405 |
} |
| 406 |
} |
| 407 |
} else if (dataPointRank==3) { |
| 408 |
for (int i=0; i<dataPointShape[0]; i++) { |
| 409 |
for (int j=0; j<dataPointShape[1]; j++) { |
| 410 |
for (int k=0; k<dataPointShape[2]; k++) { |
| 411 |
dataPointView(i,j,k)=extract<double>(value[dataPoint][i][j][k]); |
| 412 |
} |
| 413 |
} |
| 414 |
} |
| 415 |
} else if (dataPointRank==4) { |
| 416 |
for (int i=0; i<dataPointShape[0]; i++) { |
| 417 |
for (int j=0; j<dataPointShape[1]; j++) { |
| 418 |
for (int k=0; k<dataPointShape[2]; k++) { |
| 419 |
for (int l=0; l<dataPointShape[3]; l++) { |
| 420 |
dataPointView(i,j,k,l)=extract<double>(value[dataPoint][i][j][k][l]); |
| 421 |
} |
| 422 |
} |
| 423 |
} |
| 424 |
} |
| 425 |
} |
| 426 |
dataPoint++; |
| 427 |
} |
| 428 |
} |
| 429 |
} |
| 430 |
void |
| 431 |
DataExpanded::symmetric(DataAbstract* ev) |
| 432 |
{ |
| 433 |
int sampleNo,dataPointNo; |
| 434 |
int numSamples = getNumSamples(); |
| 435 |
int numDataPointsPerSample = getNumDPPSample(); |
| 436 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 437 |
if (temp_ev==0) { |
| 438 |
throw DataException("Error - DataExpanded::symmetric: casting to DataExpanded failed (propably a programming error)."); |
| 439 |
} |
| 440 |
DataArrayView& thisView=getPointDataView(); |
| 441 |
DataArrayView& evView=ev->getPointDataView(); |
| 442 |
#pragma omp parallel for private(sampleNo,dataPointNo) schedule(static) |
| 443 |
for (sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 444 |
for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 445 |
DataArrayView::symmetric(thisView,getPointOffset(sampleNo,dataPointNo), |
| 446 |
evView,ev->getPointOffset(sampleNo,dataPointNo)); |
| 447 |
} |
| 448 |
} |
| 449 |
} |
| 450 |
void |
| 451 |
DataExpanded::nonsymmetric(DataAbstract* ev) |
| 452 |
{ |
| 453 |
int sampleNo,dataPointNo; |
| 454 |
int numSamples = getNumSamples(); |
| 455 |
int numDataPointsPerSample = getNumDPPSample(); |
| 456 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 457 |
if (temp_ev==0) { |
| 458 |
throw DataException("Error - DataExpanded::nonsymmetric: casting to DataExpanded failed (propably a programming error)."); |
| 459 |
} |
| 460 |
DataArrayView& thisView=getPointDataView(); |
| 461 |
DataArrayView& evView=ev->getPointDataView(); |
| 462 |
#pragma omp parallel for private(sampleNo,dataPointNo) schedule(static) |
| 463 |
for (sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 464 |
for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 465 |
DataArrayView::nonsymmetric(thisView,getPointOffset(sampleNo,dataPointNo), |
| 466 |
evView,ev->getPointOffset(sampleNo,dataPointNo)); |
| 467 |
} |
| 468 |
} |
| 469 |
} |
| 470 |
void |
| 471 |
DataExpanded::trace(DataAbstract* ev, int axis_offset) |
| 472 |
{ |
| 473 |
int sampleNo,dataPointNo; |
| 474 |
int numSamples = getNumSamples(); |
| 475 |
int numDataPointsPerSample = getNumDPPSample(); |
| 476 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 477 |
if (temp_ev==0) { |
| 478 |
throw DataException("Error - DataExpanded::trace: casting to DataExpanded failed (propably a programming error)."); |
| 479 |
} |
| 480 |
DataArrayView& thisView=getPointDataView(); |
| 481 |
DataArrayView& evView=ev->getPointDataView(); |
| 482 |
#pragma omp parallel for private(sampleNo,dataPointNo) schedule(static) |
| 483 |
for (sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 484 |
for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 485 |
DataArrayView::trace(thisView,getPointOffset(sampleNo,dataPointNo), |
| 486 |
evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset); |
| 487 |
} |
| 488 |
} |
| 489 |
} |
| 490 |
|
| 491 |
void |
| 492 |
DataExpanded::transpose(DataAbstract* ev, int axis_offset) |
| 493 |
{ |
| 494 |
int sampleNo,dataPointNo; |
| 495 |
int numSamples = getNumSamples(); |
| 496 |
int numDataPointsPerSample = getNumDPPSample(); |
| 497 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 498 |
if (temp_ev==0) { |
| 499 |
throw DataException("Error - DataExpanded::transpose: casting to DataExpanded failed (propably a programming error)."); |
| 500 |
} |
| 501 |
DataArrayView& thisView=getPointDataView(); |
| 502 |
DataArrayView& evView=ev->getPointDataView(); |
| 503 |
#pragma omp parallel for private(sampleNo,dataPointNo) schedule(static) |
| 504 |
for (sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 505 |
for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 506 |
DataArrayView::transpose(thisView,getPointOffset(sampleNo,dataPointNo), |
| 507 |
evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset); |
| 508 |
} |
| 509 |
} |
| 510 |
} |
| 511 |
|
| 512 |
void |
| 513 |
DataExpanded::swapaxes(DataAbstract* ev, int axis0, int axis1) |
| 514 |
{ |
| 515 |
int sampleNo,dataPointNo; |
| 516 |
int numSamples = getNumSamples(); |
| 517 |
int numDataPointsPerSample = getNumDPPSample(); |
| 518 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 519 |
if (temp_ev==0) { |
| 520 |
throw DataException("Error - DataExpanded::swapaxes: casting to DataExpanded failed (propably a programming error)."); |
| 521 |
} |
| 522 |
DataArrayView& thisView=getPointDataView(); |
| 523 |
DataArrayView& evView=ev->getPointDataView(); |
| 524 |
#pragma omp parallel for private(sampleNo,dataPointNo) schedule(static) |
| 525 |
for (sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 526 |
for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 527 |
DataArrayView::swapaxes(thisView,getPointOffset(sampleNo,dataPointNo), |
| 528 |
evView,ev->getPointOffset(sampleNo,dataPointNo),axis0,axis1); |
| 529 |
} |
| 530 |
} |
| 531 |
} |
| 532 |
void |
| 533 |
DataExpanded::eigenvalues(DataAbstract* ev) |
| 534 |
{ |
| 535 |
int sampleNo,dataPointNo; |
| 536 |
int numSamples = getNumSamples(); |
| 537 |
int numDataPointsPerSample = getNumDPPSample(); |
| 538 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 539 |
if (temp_ev==0) { |
| 540 |
throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error)."); |
| 541 |
} |
| 542 |
DataArrayView& thisView=getPointDataView(); |
| 543 |
DataArrayView& evView=ev->getPointDataView(); |
| 544 |
#pragma omp parallel for private(sampleNo,dataPointNo) schedule(static) |
| 545 |
for (sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 546 |
for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 547 |
DataArrayView::eigenvalues(thisView,getPointOffset(sampleNo,dataPointNo), |
| 548 |
evView,ev->getPointOffset(sampleNo,dataPointNo)); |
| 549 |
} |
| 550 |
} |
| 551 |
} |
| 552 |
void |
| 553 |
DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol) |
| 554 |
{ |
| 555 |
int numSamples = getNumSamples(); |
| 556 |
int numDataPointsPerSample = getNumDPPSample(); |
| 557 |
int sampleNo,dataPointNo; |
| 558 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 559 |
if (temp_ev==0) { |
| 560 |
throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error)."); |
| 561 |
} |
| 562 |
DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V); |
| 563 |
if (temp_V==0) { |
| 564 |
throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error)."); |
| 565 |
} |
| 566 |
DataArrayView& thisView=getPointDataView(); |
| 567 |
DataArrayView& evView=ev->getPointDataView(); |
| 568 |
DataArrayView& VView=V->getPointDataView(); |
| 569 |
#pragma omp parallel for private(sampleNo,dataPointNo) schedule(static) |
| 570 |
for (sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 571 |
for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 572 |
DataArrayView::eigenvalues_and_eigenvectors(thisView,getPointOffset(sampleNo,dataPointNo), |
| 573 |
evView,ev->getPointOffset(sampleNo,dataPointNo), |
| 574 |
VView,V->getPointOffset(sampleNo,dataPointNo), |
| 575 |
tol); |
| 576 |
} |
| 577 |
} |
| 578 |
} |
| 579 |
|
| 580 |
} // end of namespace |
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