/[escript]/trunk/escript/src/DataExpanded.cpp
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trunk/esys2/escript/src/Data/DataExpanded.cpp revision 126 by jgs, Fri Jul 22 03:53:08 2005 UTC trunk/escript/src/DataExpanded.cpp revision 2008 by phornby, Mon Nov 10 08:59:14 2008 UTC
# Line 1  Line 1 
 // $Id$  
 /*  
  ******************************************************************************  
  *                                                                            *  
  *       COPYRIGHT  ACcESS 2004 -  All Rights Reserved                        *  
  *                                                                            *  
  * This software is the property of ACcESS. No part of this code              *  
  * may be copied in any form or by any means without the expressed written    *  
  * consent of ACcESS.  Copying, use or modification of this software          *  
  * by any unauthorised person is illegal unless that person has a software    *  
  * license agreement with ACcESS.                                             *  
  *                                                                            *  
  ******************************************************************************  
 */  
   
 #include "escript/Data/DataException.h"  
 #include "escript/Data/DataExpanded.h"  
 #include "escript/Data/DataConstant.h"  
 #include "escript/Data/DataTagged.h"  
 #include "escript/Data/DataArrayView.h"  
1    
2  #include <boost/python/extract.hpp>  /*******************************************************
3    *
4    * Copyright (c) 2003-2008 by University of Queensland
5    * Earth Systems Science Computational Center (ESSCC)
6    * http://www.uq.edu.au/esscc
7    *
8    * Primary Business: Queensland, Australia
9    * Licensed under the Open Software License version 3.0
10    * http://www.opensource.org/licenses/osl-3.0.php
11    *
12    *******************************************************/
13    
14    
15    #include "Data.h"
16    #include "DataExpanded.h"
17    #include "DataException.h"
18    #include "DataConstant.h"
19    #include "DataTagged.h"
20    #ifdef USE_NETCDF
21    #include <netcdfcpp.h>
22    #endif
23    #ifdef PASO_MPI
24    #include <mpi.h>
25    #endif
26    
27  #include <iostream>  #include <boost/python/extract.hpp>
28    #include "DataMaths.h"
29    
30  using namespace std;  using namespace std;
31  using namespace boost::python;  using namespace boost::python;
32  using namespace boost;  using namespace boost;
33    using namespace escript::DataTypes;
34    
35  namespace escript {  namespace escript {
36    
37  DataExpanded::DataExpanded(const boost::python::numeric::array& value,  DataExpanded::DataExpanded(const boost::python::numeric::array& value,
38                             const FunctionSpace& what)                             const FunctionSpace& what)
39    : DataAbstract(what)    : parent(what,DataTypes::shapeFromNumArray(value))
40  {  {
   DataArrayView::ShapeType tempShape;  
   //  
   // extract the shape of the python numarray  
   for (int i=0; i<value.getrank(); i++) {  
     tempShape.push_back(extract<int>(value.getshape()[i]));  
   }  
41    //    //
42    // initialise the data array for this object    // initialise the data array for this object
43    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());    initialise(what.getNumSamples(),what.getNumDPPSample());
44    //    //
45    // copy the given value to every data point    // copy the given value to every data point
46    copy(value);    copy(value);
47  }  }
48    
49  DataExpanded::DataExpanded(const DataExpanded& other)  DataExpanded::DataExpanded(const DataExpanded& other)
50    : DataAbstract(other.getFunctionSpace()),    : parent(other.getFunctionSpace(), other.getShape()),
51    m_data(other.m_data)    m_data(other.m_data)
52  {  {
   //  
   // create the view for the data  
   DataArrayView temp(m_data.getData(),other.getPointDataView().getShape());  
   setPointDataView(temp);  
53  }  }
54    
55  DataExpanded::DataExpanded(const DataConstant& other)  DataExpanded::DataExpanded(const DataConstant& other)
56    : DataAbstract(other.getFunctionSpace())    : parent(other.getFunctionSpace(), other.getShape())
57  {  {
58    //    //
59    // initialise the data array for this object    // initialise the data array for this object
60    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());    initialise(other.getNumSamples(),other.getNumDPPSample());
61    //    //
62    // DataConstant only has one value, copy this to every data point    // DataConstant only has one value, copy this to every data point
63    copy(other.getPointDataView());    copy(other);
64  }  }
65    
66  DataExpanded::DataExpanded(const DataTagged& other)  DataExpanded::DataExpanded(const DataTagged& other)
67    : DataAbstract(other.getFunctionSpace())    : parent(other.getFunctionSpace(), other.getShape())
68  {  {
69    //    //
70    // initialise the data array for this object    // initialise the data array for this object
71    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());    initialise(other.getNumSamples(),other.getNumDPPSample());
72    //    //
73    // for each data point in this object, extract and copy the corresponding data    // for each data point in this object, extract and copy the corresponding data
74    // value from the given DataTagged object    // value from the given DataTagged object
75    int i,j;    int i,j;
76    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataTypes::ValueType::size_type numRows=m_data.getNumRows();
77    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataTypes::ValueType::size_type numCols=m_data.getNumCols();
78    #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
79    for (i=0;i<numRows;i++) {    for (i=0;i<numRows;i++) {
80      for (j=0;j<numCols;j++) {      for (j=0;j<numCols;j++) {
81        try {        try {
82          getPointDataView().copy(getPointOffset(i,j),             DataTypes::copyPoint(getVector(), getPointOffset(i,j), getNoValues(),
83                                  other.getPointDataView(),                                  other.getVector(),
84                                  other.getPointOffset(i,j));                                  other.getPointOffset(i,j));
85        }        }
86        catch (std::exception& e) {        catch (std::exception& e) {
# Line 96  DataExpanded::DataExpanded(const DataTag Line 91  DataExpanded::DataExpanded(const DataTag
91  }  }
92    
93  DataExpanded::DataExpanded(const DataExpanded& other,  DataExpanded::DataExpanded(const DataExpanded& other,
94                             const DataArrayView::RegionType& region)                             const DataTypes::RegionType& region)
95    : DataAbstract(other.getFunctionSpace())    : parent(other.getFunctionSpace(),DataTypes::getResultSliceShape(region))
96  {  {
97    //    //
98    // get the shape of the slice    // get the shape of the slice
99    DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));  //   DataTypes::ShapeType shape(DataTypes::getResultSliceShape(region));
100    //    //
101    // initialise this Data object to the shape of the slice    // initialise this Data object to the shape of the slice
102    initialise(shape,other.getNumSamples(),other.getNumDPPSample());    initialise(other.getNumSamples(),other.getNumDPPSample());
103    //    //
104    // copy the data    // copy the data
105    DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);    DataTypes::RegionLoopRangeType region_loop_range=DataTypes::getSliceRegionLoopRange(region);
106    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataTypes::ValueType::size_type numRows=m_data.getNumRows();
107    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataTypes::ValueType::size_type numCols=m_data.getNumCols();
108    int i,j;    int i,j;
109    #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
110    for (i=0;i<numRows;i++) {    for (i=0;i<numRows;i++) {
111      for (j=0;j<numCols;j++) {      for (j=0;j<numCols;j++) {
112        try {        try {
113          getPointDataView().copySlice(getPointOffset(i,j),  //         getPointDataView().copySlice(getPointOffset(i,j),
114                                       other.getPointDataView(),  //                                      other.getPointDataView(),
115    //                                      other.getPointOffset(i,j),
116    //                                      region_loop_range);
117            DataTypes::copySlice(getVector(),getShape(),getPointOffset(i,j),
118                                         other.getVector(),
119                         other.getShape(),
120                                       other.getPointOffset(i,j),                                       other.getPointOffset(i,j),
121                                       region_loop_range);                                       region_loop_range);
122        }        }
# Line 127  DataExpanded::DataExpanded(const DataExp Line 127  DataExpanded::DataExpanded(const DataExp
127    }    }
128  }  }
129    
130  DataExpanded::DataExpanded(const DataArrayView& value,  // DataExpanded::DataExpanded(const DataArrayView& value,
131                             const FunctionSpace& what)  //                            const FunctionSpace& what)
132    : DataAbstract(what)  //   : DataAbstract(what)
133  {  // {
134    //  //   //
135    // get the shape of the given data value  //   // get the shape of the given data value
136    DataArrayView::ShapeType tempShape=value.getShape();  //   DataTypes::ShapeType tempShape=value.getShape();
137    //  //   //
138    // initialise this Data object to the shape of the given data value  //   // initialise this Data object to the shape of the given data value
139    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());  //   initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());
140    //  //   //
141    // copy the given value to every data point  //   // copy the given value to every data point
142    copy(value);  //   copy(value);
143  }  // }
144    
145  DataExpanded::DataExpanded(const FunctionSpace& what,  DataExpanded::DataExpanded(const FunctionSpace& what,
146                             const DataArrayView::ShapeType &shape,                             const DataTypes::ShapeType &shape,
147                             const DataArrayView::ValueType &data)                             const DataTypes::ValueType &data)
148    : DataAbstract(what)    : parent(what,shape)
149  {  {
150    //    EsysAssert(data.size()%getNoValues()==0,
151    // copy the data in the correct format                   "DataExpanded Constructor - size of supplied data is not a multiple of shape size.");
152    m_data.getData()=data;  
153    //    if (data.size()==getNoValues())
154    // create the view of the data    {
155    DataArrayView tempView(m_data.getData(),shape);       ValueType& vec=m_data.getData();
156    setPointDataView(tempView);       //
157         // create the view of the data
158         initialise(what.getNumSamples(),what.getNumDPPSample());
159         // now we copy this value to all elements
160         for (int i=0;i<getLength();)
161         {
162        for (unsigned int j=0;j<getNoValues();++j,++i)
163        {
164            vec[i]=data[j];
165        }
166         }
167      }
168      else
169      {
170         //
171         // copy the data in the correct format
172         m_data.getData()=data;
173      }
174    
175    
176  }  }
177    
178  DataExpanded::~DataExpanded()  DataExpanded::~DataExpanded()
179  {  {
180  }  }
181    
182  void  DataAbstract*
183  DataExpanded::reshapeDataPoint(const DataArrayView::ShapeType& shape)  DataExpanded::deepCopy()
184  {  {
185    if (getPointDataView().getRank()!=0) {    return new DataExpanded(*this);
     stringstream temp;  
     temp << "Error - Can only reshape Data with data points of rank 0. "  
          << "This Data has data points with rank: "  
          << getPointDataView().getRank();  
     throw DataException(temp.str());  
   }  
   //  
   // create the new DataBlocks2D data array, and a corresponding DataArrayView  
   DataBlocks2D newData(getNumSamples(),getNumDPPSample(),DataArrayView::noValues(shape));  
   DataArrayView newView(newData.getData(),shape);  
   //  
   // Copy the original data to every value for the new shape  
   int i,j;  
   int nRows=m_data.getNumRows();  
   int nCols=m_data.getNumCols();  
   #pragma omp parallel for private(i,j) schedule(static)  
   for (i=0;i<nRows;i++) {  
     for (j=0;j<nCols;j++) {  
       // NOTE: An exception may be thown from this call if  
       // DOASSERT is on which of course will play  
       // havoc with the omp threads. Run single threaded  
       // if using DOASSERT.  
       newView.copy(newData.index(i,j),m_data(i,j));  
     }  
   }  
   // swap the new data array for the original  
   m_data.Swap(newData);  
   // set the corresponding DataArrayView  
   DataArrayView temp(m_data.getData(),shape);  
   setPointDataView(temp);  
186  }  }
187    
188    
189  DataAbstract*  DataAbstract*
190  DataExpanded::getSlice(const DataArrayView::RegionType& region) const  DataExpanded::getSlice(const DataTypes::RegionType& region) const
191  {  {
192    return new DataExpanded(*this,region);    return new DataExpanded(*this,region);
193  }  }
194    
195  void  void
196  DataExpanded::setSlice(const DataAbstract* value,  DataExpanded::setSlice(const DataAbstract* value,
197                         const DataArrayView::RegionType& region)                         const DataTypes::RegionType& region)
198  {  {
199    const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value);    const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value);
200    if (tempDataExp==0) {    if (tempDataExp==0) {
# Line 212  DataExpanded::setSlice(const DataAbstrac Line 202  DataExpanded::setSlice(const DataAbstrac
202    }    }
203    //    //
204    // get shape of slice    // get shape of slice
205    DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));    DataTypes::ShapeType shape(DataTypes::getResultSliceShape(region));
206    DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);    DataTypes::RegionLoopRangeType region_loop_range=DataTypes::getSliceRegionLoopRange(region);
207    //    //
208    // check shape    // check shape
209    if (getPointDataView().getRank()!=region.size()) {    if (getRank()!=region.size()) {
210      throw DataException("Error - Invalid slice region.");      throw DataException("Error - Invalid slice region.");
211    }    }
212    if (tempDataExp->getPointDataView().getRank()>0 and !value->getPointDataView().checkShape(shape)) {    if (tempDataExp->getRank()>0 && !DataTypes::checkShape(value->getShape(), shape)) {
213      throw DataException (value->getPointDataView().createShapeErrorMessage(      throw DataException (DataTypes::createShapeErrorMessage(
214          "Error - Couldn't copy slice due to shape mismatch.",shape));          "Error - Couldn't copy slice due to shape mismatch.",shape, value->getShape()));
215    }    }
216    //    //
217    // copy the data from the slice into this object    // copy the data from the slice into this object
218    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataTypes::ValueType::size_type numRows=m_data.getNumRows();
219    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataTypes::ValueType::size_type numCols=m_data.getNumCols();
220    int i, j;    int i, j;
221      ValueType& vec=getVector();
222      const ShapeType& mshape=getShape();
223      const ValueType& tVec=tempDataExp->getVector();
224      const ShapeType& tShape=tempDataExp->getShape();
225    #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
226    for (i=0;i<numRows;i++) {    for (i=0;i<numRows;i++) {
227      for (j=0;j<numCols;j++) {      for (j=0;j<numCols;j++) {
228        getPointDataView().copySliceFrom(getPointOffset(i,j),  /*      getPointDataView().copySliceFrom(getPointOffset(i,j),
229                                         tempDataExp->getPointDataView(),                                         tempDataExp->getPointDataView(),
230                                         tempDataExp->getPointOffset(i,j),                                         tempDataExp->getPointOffset(i,j),
231                                           region_loop_range);*/
232            DataTypes::copySliceFrom(vec,mshape,getPointOffset(i,j),
233                                           tVec,
234                           tShape,
235                                           tempDataExp->getPointOffset(i,j),
236                                         region_loop_range);                                         region_loop_range);
237    
238      }      }
239    }    }
240  }  }
241    
242  void  void
243  DataExpanded::copy(const DataArrayView& value)  DataExpanded::copy(const DataConstant& value)
244  {  {
245      EsysAssert((checkShape(getShape(), value.getShape())),
246                     createShapeErrorMessage("Error - Couldn't copy due to shape mismatch.",value.getShape(),getShape()));
247    
248    //    //
249    // copy a single value to every data point in this object    // copy a single value to every data point in this object
250    int nRows=m_data.getNumRows();    int nRows=m_data.getNumRows();
# Line 250  DataExpanded::copy(const DataArrayView& Line 253  DataExpanded::copy(const DataArrayView&
253    #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
254    for (i=0;i<nRows;i++) {    for (i=0;i<nRows;i++) {
255      for (j=0;j<nCols;j++) {      for (j=0;j<nCols;j++) {
256        // NOTE: An exception may be thown from this call if        // NOTE: An exception may be thown from this call if
257        // DOASSERT is on which of course will play        // DOASSERT is on which of course will play
258        // havoc with the omp threads. Run single threaded        // havoc with the omp threads. Run single threaded
259        // if using DOASSERT.        // if using DOASSERT.
260        getPointDataView().copy(m_data.index(i,j),value);        //getPointDataView().copy(getPointOffset(i,j),value);
261          DataTypes::copyPoint(getVector(), getPointOffset(i,j), getNoValues(), value.getVector(), 0);
262      }      }
263    }    }
264  }  }
265    
266    
267    // void
268    // DataExpanded::copy(const DataArrayView& value)
269    // {
270    //   //
271    //   // copy a single value to every data point in this object
272    //   int nRows=m_data.getNumRows();
273    //   int nCols=m_data.getNumCols();
274    //   int i,j;
275    //   #pragma omp parallel for private(i,j) schedule(static)
276    //   for (i=0;i<nRows;i++) {
277    //     for (j=0;j<nCols;j++) {
278    //       // NOTE: An exception may be thown from this call if
279    //       // DOASSERT is on which of course will play
280    //       // havoc with the omp threads. Run single threaded
281    //       // if using DOASSERT.
282    //       getPointDataView().copy(getPointOffset(i,j),value);
283    //     }
284    //   }
285    // }
286    
287  void  void
288  DataExpanded::copy(const boost::python::numeric::array& value)  DataExpanded::copy(const boost::python::numeric::array& value)
289  {  {
290    //  
291    // first convert the numarray into a DataArray object    // extract the shape of the numarray
292    DataArray temp(value);    DataTypes::ShapeType tempShape;
293      for (int i=0; i < value.getrank(); i++) {
294        tempShape.push_back(extract<int>(value.getshape()[i]));
295      }
296    
297      // get the space for the data vector
298    //   int len = DataTypes::noValues(tempShape);
299    //   DataVector temp_data(len, 0.0, len);
300    //   DataArrayView temp_dataView(temp_data, tempShape);
301    //   temp_dataView.copy(value);
302    
303    //    //
304    // check the input shape matches this shape    // check the input shape matches this shape
305    if (!getPointDataView().checkShape(temp.getView().getShape())) {    if (!DataTypes::checkShape(getShape(),tempShape)) {
306      throw DataException(getPointDataView().createShapeErrorMessage(      throw DataException(DataTypes::createShapeErrorMessage(
307                          "Error - (DataExpanded) Cannot copy due to shape mismatch.",                          "Error - (DataExpanded) Cannot copy due to shape mismatch.",
308                          temp.getView().getShape()));                          tempShape,getShape()));
309    }    }
310    //    //
311    // now copy over the data    // now copy over the data
312    copy(temp.getView());    //copy(temp_dataView);
313      getVector().copyFromNumArray(value);
314  }  }
315    
316    
317  void  void
318  DataExpanded::initialise(const DataArrayView::ShapeType& shape,  DataExpanded::initialise(int noSamples,
                          int noSamples,  
319                           int noDataPointsPerSample)                           int noDataPointsPerSample)
320  {  {
321      if (noSamples==0)     //retain the default empty object
322      {
323         return;
324      }
325    //    //
326    // resize data array to the required size    // resize data array to the required size
327    m_data.resize(noSamples,noDataPointsPerSample,DataArrayView::noValues(shape));    m_data.resize(noSamples,noDataPointsPerSample,getNoValues());
   //  
   // create the data view of the data array  
   DataArrayView temp(m_data.getData(),shape);  
   setPointDataView(temp);  
328  }  }
329    
330  string  string
331  DataExpanded::toString() const  DataExpanded::toString() const
332  {  {
333    stringstream temp;    stringstream temp;
334    //    FunctionSpace fs=getFunctionSpace();
335    // create a temporary view as the offset will be changed  
336    DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset());    int offset=0;
337    for (int i=0;i<m_data.getNumRows();i++) {    for (int i=0;i<m_data.getNumRows();i++) {
338      for (int j=0;j<m_data.getNumCols();j++) {      for (int j=0;j<m_data.getNumCols();j++) {
339        tempView.setOffset(m_data.index(i,j));        offset=getPointOffset(i,j);
340        stringstream suffix;        stringstream suffix;
341        suffix << "(" << i << "," << j << ")";        suffix << "( id: " << i << ", ref: " << fs.getReferenceIDOfSample(i) << ", pnt: " << j << ")";
342        temp << tempView.toString(suffix.str());        temp << DataTypes::pointToString(getVector(),getShape(),offset,suffix.str());
343        if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {        if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {
344          temp << endl;          temp << endl;
345        }        }
346      }      }
347    }    }
348      string result=temp.str();
349      if (result.empty())
350      {
351        return "(data contains no samples)\n";
352      }
353    return temp.str();    return temp.str();
354  }  }
355    
356  DataArrayView::ValueType::size_type  DataTypes::ValueType::size_type
357  DataExpanded::getPointOffset(int sampleNo,  DataExpanded::getPointOffset(int sampleNo,
358                               int dataPointNo) const                               int dataPointNo) const
359  {  {
360    return m_data.index(sampleNo,dataPointNo);    return m_data.index(sampleNo,dataPointNo);
361  }  }
362    
363  DataArrayView  DataTypes::ValueType::size_type
364  DataExpanded::getDataPoint(int sampleNo,  DataExpanded::getPointOffset(int sampleNo,
365                             int dataPointNo)                               int dataPointNo)
366  {  {
367    DataArrayView temp(m_data.getData(),getPointDataView().getShape(),m_data.index(sampleNo,dataPointNo));    return m_data.index(sampleNo,dataPointNo);
   return temp;  
368  }  }
369    
370  DataArrayView::ValueType::size_type  DataTypes::ValueType::size_type
371  DataExpanded::getLength() const  DataExpanded::getLength() const
372  {  {
373    return m_data.size();    return m_data.size();
374  }  }
375    
376    
377    
378  void  void
379  DataExpanded::setRefValue(int ref,  DataExpanded::copyToDataPoint(const int sampleNo, const int dataPointNo, const double value) {
                           const DataArray& value)  
 {  
380    //    //
381    // Get the number of samples and data-points per sample.    // Get the number of samples and data-points per sample.
382    int numSamples = getNumSamples();    int numSamples = getNumSamples();
383    int numDPPSample = getNumDPPSample();    int numDataPointsPerSample = getNumDPPSample();
384      int dataPointRank = getRank();
385    //    ShapeType dataPointShape = getShape();
386    // Determine the sample number which corresponds to this reference number.    if (numSamples*numDataPointsPerSample > 0) {
387    int sampleNo = -1;       //TODO: global error handling
388    int tempRef = -1;       if ((sampleNo >= numSamples) || (sampleNo < 0 )) {
389    for (int n=0; n<numSamples; n++) {            throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
390      tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);       }
391      if (tempRef == ref) {       if ((dataPointNo >= numDataPointsPerSample) || (dataPointNo < 0)) {
392        sampleNo = n;             throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
393        break;       }
394      }       ValueType::size_type offset = getPointOffset(sampleNo, dataPointNo);
395    }       ValueType& vec=getVector();
396    if (sampleNo == -1) {       if (dataPointRank==0) {
397      throw DataException("DataExpanded::setRefValue error: invalid ref number supplied.");           vec[offset]=value;
398    }       } else if (dataPointRank==1) {
399            for (int i=0; i<dataPointShape[0]; i++) {
400    for (int n=0; n<numDPPSample; n++) {              vec[offset+i]=value;
401      //          }
402      // Get *each* data-point in the sample in turn.       } else if (dataPointRank==2) {
403      DataArrayView pointView = getDataPoint(sampleNo, n);          for (int i=0; i<dataPointShape[0]; i++) {
404      //             for (int j=0; j<dataPointShape[1]; j++) {
405      // Assign the values in the DataArray to this data-point.                vec[offset+getRelIndex(dataPointShape,i,j)]=value;
406      pointView.copy(value.getView());             }
407            }
408         } else if (dataPointRank==3) {
409            for (int i=0; i<dataPointShape[0]; i++) {
410               for (int j=0; j<dataPointShape[1]; j++) {
411                  for (int k=0; k<dataPointShape[2]; k++) {
412                     vec[offset+getRelIndex(dataPointShape,i,j,k)]=value;
413                  }
414               }
415            }
416         } else if (dataPointRank==4) {
417             for (int i=0; i<dataPointShape[0]; i++) {
418               for (int j=0; j<dataPointShape[1]; j++) {
419                 for (int k=0; k<dataPointShape[2]; k++) {
420                   for (int l=0; l<dataPointShape[3]; l++) {
421                      vec[offset+getRelIndex(dataPointShape,i,j,k,l)]=value;
422                   }
423                 }
424               }
425             }
426         }
427    }    }
428  }  }
   
429  void  void
430  DataExpanded::getRefValue(int ref,  DataExpanded::copyToDataPoint(const int sampleNo, const int dataPointNo, const boost::python::numeric::array& value) {
                           DataArray& value)  
 {  
431    //    //
432    // Get the number of samples and data-points per sample.    // Get the number of samples and data-points per sample.
433    int numSamples = getNumSamples();    int numSamples = getNumSamples();
434    int numDPPSample = getNumDPPSample();    int numDataPointsPerSample = getNumDPPSample();
435      int dataPointRank = getRank();
436      const ShapeType& shape = getShape();
437    //    //
438    // Determine the sample number which corresponds to this reference number    // check rank:
439    int sampleNo = -1;    if (value.getrank()!=dataPointRank)
440    int tempRef = -1;         throw DataException("Rank of numarray does not match Data object rank");
441    for (int n=0; n<numSamples; n++) {    if (numSamples*numDataPointsPerSample > 0) {
442      tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);       //TODO: global error handling
443      if (tempRef == ref) {       if ((sampleNo >= numSamples) || (sampleNo < 0 )) {
444        sampleNo = n;            throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
445        break;       }
446      }       if ((dataPointNo >= numDataPointsPerSample) || (dataPointNo < 0)) {
447    }             throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
448    if (sampleNo == -1) {       }
449      throw DataException("DataExpanded::getRefValue error: invalid ref number supplied.");       ValueType::size_type offset = getPointOffset(sampleNo, dataPointNo);
450         ValueType& vec=getVector();
451         if (dataPointRank==0) {
452             vec[offset]=extract<double>(value[0]);
453         } else if (dataPointRank==1) {
454            for (int i=0; i<shape[0]; i++) {
455                vec[offset+i]=extract<double>(value[i]);
456            }
457         } else if (dataPointRank==2) {
458            for (int i=0; i<shape[0]; i++) {
459               for (int j=0; j<shape[1]; j++) {
460                  vec[offset+getRelIndex(shape,i,j)]=extract<double>(value[i][j]);
461               }
462            }
463         } else if (dataPointRank==3) {
464            for (int i=0; i<shape[0]; i++) {
465               for (int j=0; j<shape[1]; j++) {
466                  for (int k=0; k<shape[2]; k++) {
467                     vec[offset+getRelIndex(shape,i,j,k)]=extract<double>(value[i][j][k]);
468                  }
469               }
470            }
471         } else if (dataPointRank==4) {
472             for (int i=0; i<shape[0]; i++) {
473               for (int j=0; j<shape[1]; j++) {
474                 for (int k=0; k<shape[2]; k++) {
475                   for (int l=0; l<shape[3]; l++) {
476                      vec[offset+getRelIndex(shape,i,j,k,l)]=extract<double>(value[i][j][k][l]);
477                   }
478                 }
479               }
480             }
481         }
482    }    }
   
   //  
   // Get the *first* data-point associated with this sample number.  
   DataArrayView pointView = getDataPoint(sampleNo, 0);  
   
   //  
   // Load the values from this data-point into the DataArray  
   value.getView().copy(pointView);  
 }  
   
 int  
 DataExpanded::archiveData(ofstream& archiveFile,  
                           const DataArrayView::ValueType::size_type noValues) const  
 {  
   return(m_data.archiveData(archiveFile, noValues));  
 }  
   
 int  
 DataExpanded::extractData(ifstream& archiveFile,  
                           const DataArrayView::ValueType::size_type noValues)  
 {  
   return(m_data.extractData(archiveFile, noValues));  
483  }  }
   
484  void  void
485  DataExpanded::copyAll(const boost::python::numeric::array& value) {  DataExpanded::copyAll(const boost::python::numeric::array& value) {
486    //    //
487    // Get the number of samples and data-points per sample.    // Get the number of samples and data-points per sample.
488    int numSamples = getNumSamples();    int numSamples = getNumSamples();
489    int numDataPointsPerSample = getNumDPPSample();    int numDataPointsPerSample = getNumDPPSample();
490    int dataPointRank = getPointDataView().getRank();    int dataPointRank = getRank();
491    ShapeType dataPointShape = getPointDataView().getShape();    const ShapeType& dataPointShape = getShape();
492    //    //
493    // check rank:    // check rank:
494    if (value.getrank()!=dataPointRank+1)    if (value.getrank()!=dataPointRank+1)
# Line 429  DataExpanded::copyAll(const boost::pytho Line 496  DataExpanded::copyAll(const boost::pytho
496    if (value.getshape()[0]!=numSamples*numDataPointsPerSample)    if (value.getshape()[0]!=numSamples*numDataPointsPerSample)
497         throw DataException("leading dimension of numarray is too small");         throw DataException("leading dimension of numarray is too small");
498    //    //
499      ValueType& vec=getVector();
500    int dataPoint = 0;    int dataPoint = 0;
501    for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) {    for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) {
502      for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {      for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
503        DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);        ValueType::size_type offset=getPointOffset(sampleNo, dataPointNo);
504        if (dataPointRank==0) {        if (dataPointRank==0) {
505           dataPointView()=extract<double>(value[dataPoint]);           vec[offset]=extract<double>(value[dataPoint]);
506        } else if (dataPointRank==1) {        } else if (dataPointRank==1) {
507           for (int i=0; i<dataPointShape[0]; i++) {           for (int i=0; i<dataPointShape[0]; i++) {
508              dataPointView(i)=extract<double>(value[dataPoint][i]);              vec[offset+i]=extract<double>(value[dataPoint][i]);
509           }           }
510        } else if (dataPointRank==2) {        } else if (dataPointRank==2) {
511           for (int i=0; i<dataPointShape[0]; i++) {           for (int i=0; i<dataPointShape[0]; i++) {
512             for (int j=0; j<dataPointShape[1]; j++) {             for (int j=0; j<dataPointShape[1]; j++) {
513               dataPointView(i,j)=extract<double>(value[dataPoint][i][j]);           vec[offset+getRelIndex(dataPointShape,i,j)]=extract<double>(value[dataPoint][i][j]);
514             }             }
515           }           }
516         } else if (dataPointRank==3) {         } else if (dataPointRank==3) {
517           for (int i=0; i<dataPointShape[0]; i++) {           for (int i=0; i<dataPointShape[0]; i++) {
518             for (int j=0; j<dataPointShape[1]; j++) {             for (int j=0; j<dataPointShape[1]; j++) {
519               for (int k=0; k<dataPointShape[2]; k++) {               for (int k=0; k<dataPointShape[2]; k++) {
520                   dataPointView(i,j,k)=extract<double>(value[dataPoint][i][j][k]);           vec[offset+getRelIndex(dataPointShape,i,j,k)]=extract<double>(value[dataPoint][i][j][k]);
521               }               }
522             }             }
523           }           }
# Line 458  DataExpanded::copyAll(const boost::pytho Line 526  DataExpanded::copyAll(const boost::pytho
526             for (int j=0; j<dataPointShape[1]; j++) {             for (int j=0; j<dataPointShape[1]; j++) {
527               for (int k=0; k<dataPointShape[2]; k++) {               for (int k=0; k<dataPointShape[2]; k++) {
528                 for (int l=0; l<dataPointShape[3]; l++) {                 for (int l=0; l<dataPointShape[3]; l++) {
529                   dataPointView(i,j,k,l)=extract<double>(value[dataPoint][i][j][k][l]);                   vec[offset+getRelIndex(dataPointShape,i,j,k,l)]=extract<double>(value[dataPoint][i][j][k][l]);
530                 }                 }
531               }               }
532             }             }
# Line 468  DataExpanded::copyAll(const boost::pytho Line 536  DataExpanded::copyAll(const boost::pytho
536      }      }
537    }    }
538  }  }
539    void
540    DataExpanded::symmetric(DataAbstract* ev)
541    {
542      int sampleNo,dataPointNo;
543      int numSamples = getNumSamples();
544      int numDataPointsPerSample = getNumDPPSample();
545      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
546      if (temp_ev==0) {
547        throw DataException("Error - DataExpanded::symmetric: casting to DataExpanded failed (propably a programming error).");
548      }
549      ValueType& vec=getVector();
550      const ShapeType& shape=getShape();
551      ValueType& evVec=temp_ev->getVector();
552      const ShapeType& evShape=temp_ev->getShape();
553      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
554      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
555        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
556             DataMaths::symmetric(vec,shape,getPointOffset(sampleNo,dataPointNo),
557                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo));
558        }
559      }
560    }
561    void
562    DataExpanded::nonsymmetric(DataAbstract* ev)
563    {
564      int sampleNo,dataPointNo;
565      int numSamples = getNumSamples();
566      int numDataPointsPerSample = getNumDPPSample();
567      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
568      if (temp_ev==0) {
569        throw DataException("Error - DataExpanded::nonsymmetric: casting to DataExpanded failed (propably a programming error).");
570      }
571      ValueType& vec=getVector();
572      const ShapeType& shape=getShape();
573      ValueType& evVec=temp_ev->getVector();
574      const ShapeType& evShape=temp_ev->getShape();
575      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
576      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
577        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
578             DataMaths::nonsymmetric(vec,shape,getPointOffset(sampleNo,dataPointNo),
579                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo));
580        }
581      }
582    }
583    void
584    DataExpanded::trace(DataAbstract* ev, int axis_offset)
585    {
586      int sampleNo,dataPointNo;
587      int numSamples = getNumSamples();
588      int numDataPointsPerSample = getNumDPPSample();
589      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
590      if (temp_ev==0) {
591        throw DataException("Error - DataExpanded::trace: casting to DataExpanded failed (propably a programming error).");
592      }
593      ValueType& vec=getVector();
594      const ShapeType& shape=getShape();
595      ValueType& evVec=temp_ev->getVector();
596      const ShapeType& evShape=temp_ev->getShape();
597      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
598      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
599        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
600             DataMaths::trace(vec,shape,getPointOffset(sampleNo,dataPointNo),
601                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
602        }
603      }
604    }
605    
606    void
607    DataExpanded::transpose(DataAbstract* ev, int axis_offset)
608    {
609      int sampleNo,dataPointNo;
610      int numSamples = getNumSamples();
611      int numDataPointsPerSample = getNumDPPSample();
612      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
613      if (temp_ev==0) {
614        throw DataException("Error - DataExpanded::transpose: casting to DataExpanded failed (propably a programming error).");
615      }
616      ValueType& vec=getVector();
617      const ShapeType& shape=getShape();
618      ValueType& evVec=temp_ev->getVector();
619      const ShapeType& evShape=temp_ev->getShape();
620      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
621      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
622        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
623             DataMaths::transpose(vec,shape,getPointOffset(sampleNo,dataPointNo),
624                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
625        }
626      }
627    }
628    
629    void
630    DataExpanded::swapaxes(DataAbstract* ev, int axis0, int axis1)
631    {
632      int sampleNo,dataPointNo;
633      int numSamples = getNumSamples();
634      int numDataPointsPerSample = getNumDPPSample();
635      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
636      if (temp_ev==0) {
637        throw DataException("Error - DataExpanded::swapaxes: casting to DataExpanded failed (propably a programming error).");
638      }
639      ValueType& vec=getVector();
640      const ShapeType& shape=getShape();
641      ValueType& evVec=temp_ev->getVector();
642      const ShapeType& evShape=temp_ev->getShape();
643      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
644      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
645        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
646             DataMaths::swapaxes(vec,shape,getPointOffset(sampleNo,dataPointNo),
647                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo),axis0,axis1);
648        }
649      }
650    }
651    void
652    DataExpanded::eigenvalues(DataAbstract* ev)
653    {
654      int sampleNo,dataPointNo;
655      int numSamples = getNumSamples();
656      int numDataPointsPerSample = getNumDPPSample();
657      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
658      if (temp_ev==0) {
659        throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error).");
660      }
661      ValueType& vec=getVector();
662      const ShapeType& shape=getShape();
663      ValueType& evVec=temp_ev->getVector();
664      const ShapeType& evShape=temp_ev->getShape();
665      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
666      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
667        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
668             DataMaths::eigenvalues(vec,shape,getPointOffset(sampleNo,dataPointNo),
669                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo));
670        }
671      }
672    }
673    void
674    DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol)
675    {
676      int numSamples = getNumSamples();
677      int numDataPointsPerSample = getNumDPPSample();
678      int sampleNo,dataPointNo;
679      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
680      if (temp_ev==0) {
681        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
682      }
683      DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V);
684      if (temp_V==0) {
685        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
686      }
687      ValueType& vec=getVector();
688      const ShapeType& shape=getShape();
689      ValueType& evVec=temp_ev->getVector();
690      const ShapeType& evShape=temp_ev->getShape();
691      ValueType& VVec=temp_V->getVector();
692      const ShapeType& VShape=temp_V->getShape();
693      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
694      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
695        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
696             DataMaths::eigenvalues_and_eigenvectors(vec,shape,getPointOffset(sampleNo,dataPointNo),
697                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo),
698                                        VVec, VShape,V->getPointOffset(sampleNo,dataPointNo),tol);
699        }
700      }
701    }
702    
703    void
704    DataExpanded::setToZero(){
705    // TODO: Surely there is a more efficient way to do this????
706    // Why is there no memset here? Parallel issues?
707      int numSamples = getNumSamples();
708      int numDataPointsPerSample = getNumDPPSample();
709      DataTypes::ValueType::size_type n = getNoValues();
710      double* p;
711      int  sampleNo,dataPointNo, i;
712      #pragma omp parallel for private(sampleNo,dataPointNo,p,i) schedule(static)
713      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
714        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
715            p=&(m_data[getPointOffset(sampleNo,dataPointNo)]);
716            for (i=0; i<n ;++i) p[i]=0.;
717        }
718      }
719    }
720    
721    /* Append MPI rank to file name if multiple MPI processes */
722    char *Escript_MPI_appendRankToFileName(const char *fileName, int mpi_size, int mpi_rank) {
723      /* Make plenty of room for the mpi_rank number and terminating '\0' */
724      char *newFileName = (char *)malloc(strlen(fileName)+20);
725      strncpy(newFileName, fileName, strlen(fileName)+1);
726      if (mpi_size>1) sprintf(newFileName+strlen(newFileName), ".%04d", mpi_rank);
727      return(newFileName);
728    }
729    
730    void
731    DataExpanded::dump(const std::string fileName) const
732    {
733       #ifdef USE_NETCDF
734       const int ldims=2+DataTypes::maxRank;
735       const NcDim* ncdims[ldims];
736       NcVar *var, *ids;
737       int rank = getRank();
738       int type=  getFunctionSpace().getTypeCode();
739       int ndims =0;
740       long dims[ldims];
741       const double* d_ptr=&(m_data[0]);
742       const DataTypes::ShapeType& shape = getShape();
743       int mpi_iam=getFunctionSpace().getDomain()->getMPIRank();
744       int mpi_num=getFunctionSpace().getDomain()->getMPISize();
745    #ifdef PASO_MPI
746       MPI_Status status;
747    #endif
748    
749    #ifdef PASO_MPI
750       /* Serialize NetCDF I/O */
751       if (mpi_iam>0) MPI_Recv(&ndims, 0, MPI_INT, mpi_iam-1, 81801, MPI_COMM_WORLD, &status);
752    #endif
753    
754       // netCDF error handler
755       NcError err(NcError::verbose_nonfatal);
756       // Create the file.
757       char *newFileName = Escript_MPI_appendRankToFileName(fileName.c_str(), mpi_num, mpi_iam);
758       NcFile dataFile(newFileName, NcFile::Replace);
759       // check if writing was successful
760       if (!dataFile.is_valid())
761            throw DataException("Error - DataExpanded:: opening of netCDF file for output failed.");
762       if (!dataFile.add_att("type_id",2) )
763            throw DataException("Error - DataExpanded:: appending data type to netCDF file failed.");
764       if (!dataFile.add_att("rank",rank) )
765            throw DataException("Error - DataExpanded:: appending rank attribute to netCDF file failed.");
766       if (!dataFile.add_att("function_space_type",type))
767            throw DataException("Error - DataExpanded:: appending function space attribute to netCDF file failed.");
768       ndims=rank+2;
769       if ( rank >0 ) {
770           dims[0]=shape[0];
771           if (! (ncdims[0] = dataFile.add_dim("d0",shape[0])) )
772                throw DataException("Error - DataExpanded:: appending ncdimension 0 to netCDF file failed.");
773       }
774       if ( rank >1 ) {
775           dims[1]=shape[1];
776           if (! (ncdims[1] = dataFile.add_dim("d1",shape[1])) )
777                throw DataException("Error - DataExpanded:: appending ncdimension 1 to netCDF file failed.");
778       }
779       if ( rank >2 ) {
780           dims[2]=shape[2];
781           if (! (ncdims[2] = dataFile.add_dim("d2", shape[2])) )
782                throw DataException("Error - DataExpanded:: appending ncdimension 2 to netCDF file failed.");
783       }
784       if ( rank >3 ) {
785           dims[3]=shape[3];
786           if (! (ncdims[3] = dataFile.add_dim("d3", shape[3])) )
787                throw DataException("Error - DataExpanded:: appending ncdimension 3 to netCDF file failed.");
788       }
789       dims[rank]=getFunctionSpace().getNumDataPointsPerSample();
790       if (! (ncdims[rank] = dataFile.add_dim("num_data_points_per_sample", dims[rank])) )
791                throw DataException("Error - DataExpanded:: appending num_data_points_per_sample to netCDF file failed.");
792       dims[rank+1]=getFunctionSpace().getNumSamples();
793       if (! (ncdims[rank+1] = dataFile.add_dim("num_samples", dims[rank+1])) )
794                throw DataException("Error - DataExpanded:: appending num_sample to netCDF file failed.");
795    
796       if (getFunctionSpace().getNumSamples()>0)
797       {
798    
799         if (! ( ids = dataFile.add_var("id", ncInt, ncdims[rank+1])) )
800            throw DataException("Error - DataExpanded:: appending reference id to netCDF file failed.");
801         const int* ids_p=getFunctionSpace().borrowSampleReferenceIDs();
802         if (! (ids->put(ids_p,dims[rank+1])) )
803            throw DataException("Error - DataExpanded:: copy reference id  to netCDF buffer failed.");
804         if (! ( var = dataFile.add_var("data", ncDouble, ndims, ncdims)) )
805            throw DataException("Error - DataExpanded:: appending variable to netCDF file failed.");
806         if (! (var->put(d_ptr,dims)) )
807            throw DataException("Error - DataExpanded:: copy data to netCDF buffer failed.");
808       }
809    #ifdef PASO_MPI
810       if (mpi_iam<mpi_num-1) MPI_Send(&ndims, 0, MPI_INT, mpi_iam+1, 81801, MPI_COMM_WORLD);
811    #endif
812       #else
813       throw DataException("Error - DataExpanded:: dump is not configured with netCDF. Please contact your installation manager.");
814       #endif
815    }
816    
817    void  
818    DataExpanded::setTaggedValue(int tagKey,
819               const DataTypes::ShapeType& pointshape,
820                   const DataTypes::ValueType& value,
821               int dataOffset)
822    {
823      int numSamples = getNumSamples();
824      int numDataPointsPerSample = getNumDPPSample();
825      int sampleNo,dataPointNo, i;
826      DataTypes::ValueType::size_type n = getNoValues();
827      double* p;
828      const double* in=&value[0+dataOffset];
829      
830      if (value.size() != n) {
831        throw DataException("Error - DataExpanded::setTaggedValue: number of input values does not match number of values per data points.");
832      }
833    
834      #pragma omp parallel for private(sampleNo,dataPointNo,p,i) schedule(static)
835      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
836        if (getFunctionSpace().getTagFromSampleNo(sampleNo) == tagKey ) {
837            for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
838                p=&(m_data[getPointOffset(sampleNo,dataPointNo)]);
839                for (i=0; i<n ;++i) p[i]=in[i];
840            }
841        }
842      }
843    }
844    
845    
846    void
847    DataExpanded::reorderByReferenceIDs(int *reference_ids)
848    {
849      int numSamples = getNumSamples();
850      DataTypes::ValueType::size_type n = getNoValues() * getNumDPPSample();
851      int sampleNo, sampleNo2,i;
852      double* p,*p2;
853      register double rtmp;
854      FunctionSpace fs=getFunctionSpace();
855    
856      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
857         const int id_in=reference_ids[sampleNo];
858         const int id=fs.getReferenceIDOfSample(sampleNo);
859         if (id!=id_in) {
860             bool matched=false;
861             for (sampleNo2 = sampleNo+1; sampleNo2 < numSamples; sampleNo2++) {
862                  if (id == reference_ids[sampleNo2]) {
863                     p=&(m_data[getPointOffset(sampleNo,0)]);
864                     p2=&(m_data[getPointOffset(sampleNo2,0)]);
865                     for (i=0; i<n ;i++) {
866                             rtmp=p[i];
867                             p[i]=p2[i];
868                             p2[i]=rtmp;
869                     }
870                     reference_ids[sampleNo]=id;
871                     reference_ids[sampleNo2]=id_in;
872                     matched=true;
873                     break;
874                  }
875             }
876             if (! matched) {
877                throw DataException("Error - DataExpanded::reorderByReferenceIDs: unable to reorder sample data by reference ids");
878             }
879         }
880       }
881    }
882    
883    DataTypes::ValueType&
884    DataExpanded::getVector()
885    {
886        return m_data.getData();
887    }
888    
889    const DataTypes::ValueType&
890    DataExpanded::getVector() const
891    {
892        return m_data.getData();
893    }
894    
895  }  // end of namespace  }  // end of namespace

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