/[escript]/trunk/escript/src/DataExpanded.cpp
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trunk/esys2/escript/src/Data/DataExpanded.cpp revision 82 by jgs, Tue Oct 26 06:53:54 2004 UTC trunk/escript/src/DataExpanded.cpp revision 964 by gross, Tue Feb 13 05:10:26 2007 UTC
# Line 1  Line 1 
1    // $Id$
2  /*  /*
3   ******************************************************************************   ************************************************************
4   *                                                                            *   *          Copyright 2006 by ACcESS MNRF                   *
5   *       COPYRIGHT  ACcESS 2004 -  All Rights Reserved                        *   *                                                          *
6   *                                                                            *   *              http://www.access.edu.au                    *
7   * This software is the property of ACcESS. No part of this code              *   *       Primary Business: Queensland, Australia            *
8   * may be copied in any form or by any means without the expressed written    *   *  Licensed under the Open Software License version 3.0    *
9   * consent of ACcESS.  Copying, use or modification of this software          *   *     http://www.opensource.org/licenses/osl-3.0.php       *
10   * by any unauthorised person is illegal unless that person has a software    *   *                                                          *
11   * license agreement with ACcESS.                                             *   ************************************************************
  *                                                                            *  
  ******************************************************************************  
12  */  */
13    
14  #include "escript/Data/DataException.h"  #include "DataExpanded.h"
15  #include "escript/Data/DataExpanded.h"  #include "DataException.h"
16  #include "escript/Data/DataConstant.h"  #include "DataConstant.h"
17  #include "escript/Data/DataTagged.h"  #include "DataTagged.h"
 #include "escript/Data/DataArrayView.h"  
18    
19  #include <boost/python/extract.hpp>  #include <boost/python/extract.hpp>
20    
 #include <iostream>  
   
21  using namespace std;  using namespace std;
22  using namespace boost::python;  using namespace boost::python;
23  using namespace boost;  using namespace boost;
24    
25  namespace escript {  namespace escript {
26    
27    DataExpanded::DataExpanded(const boost::python::numeric::array& value, const FunctionSpace& what) : DataAbstract(what)  DataExpanded::DataExpanded(const boost::python::numeric::array& value,
28    {                             const FunctionSpace& what)
29      //cout << "Calling DataExpanded constructor 1." << endl;    : DataAbstract(what)
30      DataArrayView::ShapeType tempShape;  {
31      //    DataArrayView::ShapeType tempShape;
32      // extract the shape from the python array    //
33      for (int i=0; i<value.getrank(); ++i) {    // extract the shape of the python numarray
34        cout << extract<int>(value.getshape()[i]) << endl;    for (int i=0; i<value.getrank(); i++) {
35        tempShape.push_back(extract<int>(value.getshape()[i]));      tempShape.push_back(extract<int>(value.getshape()[i]));
36      }    }
37      initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());    //
38      //    // initialise the data array for this object
39      // copy the given value to every data point    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());
40      copy(value);    //
41    }    // copy the given value to every data point
42      copy(value);
43    DataExpanded::DataExpanded(const DataExpanded& other) : DataAbstract(other.getFunctionSpace()), m_data(other.m_data)  }
44    {      
45      //cout << "Calling DataExpanded copy constructor." << endl;  DataExpanded::DataExpanded(const DataExpanded& other)
46      //    : DataAbstract(other.getFunctionSpace()),
47      // create the view for the data    m_data(other.m_data)
48      DataArrayView temp(m_data.getData(),other.getPointDataView().getShape());  {
49      setPointDataView(temp);    //
50    }    // create the view for the data
51      DataArrayView temp(m_data.getData(),other.getPointDataView().getShape());
52    DataExpanded::DataExpanded(const DataConstant& other) : DataAbstract(other.getFunctionSpace())    setPointDataView(temp);
53    {      }
54      //cout << "Creating DataExpanded from DataConstant." << endl;  
55      initialise(other.getPointDataView().getShape(),other.getNumSamples(), other.getNumDPPSample());  DataExpanded::DataExpanded(const DataConstant& other)
56      //    : DataAbstract(other.getFunctionSpace())
57      // DataConstant only has one value  {
58      copy(other.getPointDataView());    //
59    }    // initialise the data array for this object
60      initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());
61    DataExpanded::DataExpanded(const DataTagged& other) : DataAbstract(other.getFunctionSpace())    //
62    {        // DataConstant only has one value, copy this to every data point
63      //cout << "Creating DataExpanded from DataTagged." << endl;    copy(other.getPointDataView());
64      initialise(other.getPointDataView().getShape(),other.getNumSamples(), other.getNumDPPSample());  }
65      int i,j;  
66      DataArrayView::ValueType::size_type numRows=m_data.getNumRows();  DataExpanded::DataExpanded(const DataTagged& other)
67      DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    : DataAbstract(other.getFunctionSpace())
68  #pragma omp parallel for private(i,j) schedule(static)  {
69      for (i=0;i<numRows;++i) {    //
70        for (j=0;j<numCols;++j) {    // initialise the data array for this object
71      try {    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());
72        getPointDataView().copy(getPointOffset(i,j), other.getPointDataView(), other.getPointOffset(i,j));    //
73      }    // for each data point in this object, extract and copy the corresponding data
74      catch (std::exception& e) {    // value from the given DataTagged object
75        cout << e.what() << endl;    int i,j;
76      }    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
77      DataArrayView::ValueType::size_type numCols=m_data.getNumCols();
78      #pragma omp parallel for private(i,j) schedule(static)
79      for (i=0;i<numRows;i++) {
80        for (j=0;j<numCols;j++) {
81          try {
82            getPointDataView().copy(getPointOffset(i,j),
83                                    other.getPointDataView(),
84                                    other.getPointOffset(i,j));
85        }        }
86      }        catch (std::exception& e) {
87    }          cout << e.what() << endl;
   
   DataExpanded::DataExpanded(const DataExpanded& other, const DataArrayView::RegionType& region) : DataAbstract(other.getFunctionSpace())  
   {  
     //cout << "Creating DataExpanded by slicing from another DataExpanded." << endl;  
     //  
     // get the shape of the slice  
     DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));  
     initialise(shape,other.getNumSamples(),other.getNumDPPSample());  
     //  
     // copy the data  
     DataArrayView::ValueType::size_type numRows=m_data.getNumRows();  
     DataArrayView::ValueType::size_type numCols=m_data.getNumCols();  
     int i,j;  
 #pragma omp parallel for private(i,j) schedule(static)  
     for (i=0;i<numRows;++i) {  
       for (j=0;j<numCols;++j) {  
     try {  
       getPointDataView().copySlice(getPointOffset(i,j), other.getPointDataView(), other.getPointOffset(i,j), region);  
     }  
     catch (std::exception& e) {  
       cout << e.what() << endl;  
     }  
88        }        }
89      }      }
90    }    }
91    }
92    
93    DataExpanded::DataExpanded(const DataArrayView& value,const FunctionSpace& what): DataAbstract(what)  DataExpanded::DataExpanded(const DataExpanded& other,
94    {                             const DataArrayView::RegionType& region)
95      //cout << "Calling DataExpanded constructor 2." << endl;    : DataAbstract(other.getFunctionSpace())
96      DataArrayView::ShapeType tempShape=value.getShape();  {
97      initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());    //
98      copy(value);    // get the shape of the slice
99    }    DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));
100      //
101    DataExpanded::~DataExpanded()    // initialise this Data object to the shape of the slice
102    {    initialise(shape,other.getNumSamples(),other.getNumDPPSample());
103      //cout << "Destructing DataExpanded." << endl;    //
104    }    // copy the data
105      DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);
106    DataAbstract* DataExpanded::getSlice(const DataArrayView::RegionType& region) const    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
107    {    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();
108      return new DataExpanded(*this,region);    int i,j;
109    }    #pragma omp parallel for private(i,j) schedule(static)
110      for (i=0;i<numRows;i++) {
111    void DataExpanded::reshapeDataPoint(const DataArrayView::ShapeType& shape)      for (j=0;j<numCols;j++) {
112    {        try {
113      //          getPointDataView().copySlice(getPointOffset(i,j),
114      // reshape a rank zero data point                                       other.getPointDataView(),
115      if (getPointDataView().getRank()!=0) {                                       other.getPointOffset(i,j),
116        stringstream temp;                                       region_loop_range);
       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());  
     }  
     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) {  
     //  
     // Copy the data into the specified offset  
     // 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.getData()[m_data.index(i,j)]);  
117        }        }
118      }        catch (std::exception& e) {
119      m_data.Swap(newData);          cout << e.what() << endl;
     DataArrayView temp(m_data.getData(),shape);  
     setPointDataView(temp);  
   }  
   
   void DataExpanded::setSlice(const DataAbstract* value, const DataArrayView::RegionType& region)  
   {  
     const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value);  
     if (tempDataExp==0) {  
       throw DataException("Programming error - casting to DataExpanded.");  
     }  
     if (getPointDataView().getRank()!=region.size()) {  
       throw DataException("Error - Invalid slice region.");  
     }  
     if (!value->getPointDataView().checkShape(DataArrayView::getResultSliceShape(region))) {  
       throw DataException (value->getPointDataView().createShapeErrorMessage(  
                 "Error - Couldn't copy slice due to shape mismatch.",DataArrayView::getResultSliceShape(region)));  
     }  
     //  
     // copy the data  
     DataArrayView::ValueType::size_type numRows=m_data.getNumRows();  
     DataArrayView::ValueType::size_type numCols=m_data.getNumCols();  
     int i,j;  
 #pragma omp parallel for private(i,j) schedule(static)  
     for (i=0;i<numRows;++i) {  
       for (j=0;j<numCols;++j) {  
     getPointDataView().copySliceFrom(getPointOffset(i,j), tempDataExp->getPointDataView(), tempDataExp->getPointOffset(i,j), region);  
120        }        }
121      }      }
122    }    }
123    }
124    
125    void DataExpanded::copy(const DataArrayView& value)  DataExpanded::DataExpanded(const DataArrayView& value,
126    {                             const FunctionSpace& what)
127      //    : DataAbstract(what)
128      // Copy a single value to every data point  {
129      int i,j;    //
130      int nRows=m_data.getNumRows();    // get the shape of the given data value
131      int nCols=m_data.getNumCols();    DataArrayView::ShapeType tempShape=value.getShape();
132      #pragma omp parallel for private(i,j) schedule(static)    //
133      for (i=0;i<nRows;++i) {    // initialise this Data object to the shape of the given data value
134        for (j=0;j<nCols;++j) {    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());
135      //    //
136      // Copy the data into the specified offset    // copy the given value to every data point
137      // NOTE: An exception may be thown from this call if    copy(value);
138      // DOASSERT is on which of course will play  }
139      // havoc with the omp threads. Run single threaded  
140      // if using DOASSERT.  DataExpanded::DataExpanded(const FunctionSpace& what,
141      getPointDataView().copy(m_data.index(i,j),value);                             const DataArrayView::ShapeType &shape,
142                               const DataArrayView::ValueType &data)
143      : DataAbstract(what)
144    {
145      //
146      // create the view of the data
147      initialise(shape,what.getNumSamples(),what.getNumDPPSample());
148      //
149      // copy the data in the correct format
150      m_data.getData()=data;
151    }
152    
153    DataExpanded::~DataExpanded()
154    {
155    }
156    
157    DataAbstract*
158    DataExpanded::getSlice(const DataArrayView::RegionType& region) const
159    {
160      return new DataExpanded(*this,region);
161    }
162    
163    void
164    DataExpanded::setSlice(const DataAbstract* value,
165                           const DataArrayView::RegionType& region)
166    {
167      const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value);
168      if (tempDataExp==0) {
169        throw DataException("Programming error - casting to DataExpanded.");
170      }
171      //
172      // get shape of slice
173      DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));
174      DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);
175      //
176      // check shape
177      if (getPointDataView().getRank()!=region.size()) {
178        throw DataException("Error - Invalid slice region.");
179      }
180      if (tempDataExp->getPointDataView().getRank()>0 && !value->getPointDataView().checkShape(shape)) {
181        throw DataException (value->getPointDataView().createShapeErrorMessage(
182            "Error - Couldn't copy slice due to shape mismatch.",shape));
183      }
184      //
185      // copy the data from the slice into this object
186      DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
187      DataArrayView::ValueType::size_type numCols=m_data.getNumCols();
188      int i, j;
189      #pragma omp parallel for private(i,j) schedule(static)
190      for (i=0;i<numRows;i++) {
191        for (j=0;j<numCols;j++) {
192          getPointDataView().copySliceFrom(getPointOffset(i,j),
193                                           tempDataExp->getPointDataView(),
194                                           tempDataExp->getPointOffset(i,j),
195                                           region_loop_range);
196        }
197      }
198    }
199    
200    void
201    DataExpanded::copy(const DataArrayView& value)
202    {
203      //
204      // copy a single value to every data point in this object
205      int nRows=m_data.getNumRows();
206      int nCols=m_data.getNumCols();
207      int i,j;
208      #pragma omp parallel for private(i,j) schedule(static)
209      for (i=0;i<nRows;i++) {
210        for (j=0;j<nCols;j++) {
211          // NOTE: An exception may be thown from this call if
212          // DOASSERT is on which of course will play
213          // havoc with the omp threads. Run single threaded
214          // if using DOASSERT.
215          getPointDataView().copy(m_data.index(i,j),value);
216        }
217      }
218    }
219    
220    void
221    DataExpanded::copy(const boost::python::numeric::array& value)
222    {
223      //
224      // first convert the numarray into a DataArray object
225      DataArray temp(value);
226      //
227      // check the input shape matches this shape
228      if (!getPointDataView().checkShape(temp.getView().getShape())) {
229        throw DataException(getPointDataView().createShapeErrorMessage(
230                            "Error - (DataExpanded) Cannot copy due to shape mismatch.",
231                            temp.getView().getShape()));
232      }
233      //
234      // now copy over the data
235      copy(temp.getView());
236    }
237    
238    void
239    DataExpanded::initialise(const DataArrayView::ShapeType& shape,
240                             int noSamples,
241                             int noDataPointsPerSample)
242    {
243      //
244      // resize data array to the required size
245      m_data.resize(noSamples,noDataPointsPerSample,DataArrayView::noValues(shape));
246      //
247      // create the data view of the data array
248      DataArrayView temp(m_data.getData(),shape);
249      setPointDataView(temp);
250    }
251    
252    string
253    DataExpanded::toString() const
254    {
255      stringstream temp;
256      FunctionSpace fs=getFunctionSpace();
257      //
258      // create a temporary view as the offset will be changed
259      DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset());
260      for (int i=0;i<m_data.getNumRows();i++) {
261        for (int j=0;j<m_data.getNumCols();j++) {
262          tempView.setOffset(m_data.index(i,j));
263          stringstream suffix;
264          suffix << "( id: " << i << ", ref: " << fs.getReferenceIDOfSample(i) << ", pnt: " << j << ")";
265          temp << tempView.toString(suffix.str());
266          if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {
267            temp << endl;
268        }        }
269      }      }
270    }    }
271      return temp.str();
272    }
273    
274    void DataExpanded::copy(const boost::python::numeric::array& value)  DataArrayView::ValueType::size_type
275    {  DataExpanded::getPointOffset(int sampleNo,
276      //                               int dataPointNo) const
277      // first convert the numarray into a DataArrayView format  {
278      DataArray temp(value);    return m_data.index(sampleNo,dataPointNo);
279      //  }
280      // check the input shape matches this shape, this will throw an exception  
281      if (!getPointDataView().checkShape(temp.getView().getShape())) {  DataArrayView
282        throw DataException(getPointDataView().createShapeErrorMessage(  DataExpanded::getDataPoint(int sampleNo,
283           "Error - (DataExpanded) Cannot copy due to shape mismatch.",                             int dataPointNo)
284           temp.getView().getShape()));  {
285      }    DataArrayView temp(m_data.getData(),getPointDataView().getShape(),m_data.index(sampleNo,dataPointNo));
286      //    return temp;
287      // now copy over the entire data structure  }
288      copy(temp.getView());  
289    }  DataArrayView::ValueType::size_type
290    DataExpanded::getLength() const
291    void DataExpanded::initialise(const DataArrayView::ShapeType& shape, int noSamples, int noDataPointsPerSample)  {
292    {    return m_data.size();
293      //  }
294      // resize data to the required size  
295      //cout << "noDataPointsPerSample=" << noDataPointsPerSample  int
296      //     << " noSamples=" << noSamples  DataExpanded::archiveData(ofstream& archiveFile,
297      //     << " noValuesPerDataPoint=" << DataArrayView::noValues(shape) << endl;                            const DataArrayView::ValueType::size_type noValues) const
298      m_data.resize(noSamples,noDataPointsPerSample, DataArrayView::noValues(shape));  {
299      //    return(m_data.archiveData(archiveFile, noValues));
300      // create a point data viewer of the data  }
301      DataArrayView temp(m_data.getData(),shape);  
302      setPointDataView(temp);  int
303      //cout << "leaving initialise." << endl;  DataExpanded::extractData(ifstream& archiveFile,
304    }                            const DataArrayView::ValueType::size_type noValues)
305    {
306    string DataExpanded::toString() const    return(m_data.extractData(archiveFile, noValues));
307    {  }
308      stringstream temp;  
309      //  void
310      // create a temporary view as the offset will be changed  DataExpanded::copyToDataPoint(const int sampleNo, const int dataPointNo, const double value) {
311      DataArrayView tempView(getPointDataView().getData(), getPointDataView().getShape(), getPointDataView().getOffset());    //
312      for (int i=0;i<m_data.getNumRows();++i) {    // Get the number of samples and data-points per sample.
313        for (int j=0;j<m_data.getNumCols();++j) {    int numSamples = getNumSamples();
314          tempView.setOffset(m_data.index(i,j));    int numDataPointsPerSample = getNumDPPSample();
315      stringstream suffix;    int dataPointRank = getPointDataView().getRank();
316      suffix << "(" << i << "," << j << ")";    ShapeType dataPointShape = getPointDataView().getShape();
317      temp << tempView.toString(suffix.str());    if (numSamples*numDataPointsPerSample > 0) {
318      if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {       //TODO: global error handling
319        temp << endl;       if ((sampleNo >= numSamples) || (sampleNo < 0 )) {
320      }            throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
321         }
322         if ((dataPointNo >= numDataPointsPerSample) || (dataPointNo < 0)) {
323               throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
324         }
325         DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
326         if (dataPointRank==0) {
327             dataPointView()=value;
328         } else if (dataPointRank==1) {
329            for (int i=0; i<dataPointShape[0]; i++) {
330                dataPointView(i)=value;
331            }
332         } else if (dataPointRank==2) {
333            for (int i=0; i<dataPointShape[0]; i++) {
334               for (int j=0; j<dataPointShape[1]; j++) {
335                  dataPointView(i,j)=value;
336               }
337            }
338         } else if (dataPointRank==3) {
339            for (int i=0; i<dataPointShape[0]; i++) {
340               for (int j=0; j<dataPointShape[1]; j++) {
341                  for (int k=0; k<dataPointShape[2]; k++) {
342                     dataPointView(i,j,k)=value;
343                  }
344               }
345            }
346         } else if (dataPointRank==4) {
347             for (int i=0; i<dataPointShape[0]; i++) {
348               for (int j=0; j<dataPointShape[1]; j++) {
349                 for (int k=0; k<dataPointShape[2]; k++) {
350                   for (int l=0; l<dataPointShape[3]; l++) {
351                      dataPointView(i,j,k,l)=value;
352                   }
353                 }
354               }
355             }
356         }
357      }
358    }
359    void
360    DataExpanded::copyToDataPoint(const int sampleNo, const int dataPointNo, const boost::python::numeric::array& value) {
361      //
362      // Get the number of samples and data-points per sample.
363      int numSamples = getNumSamples();
364      int numDataPointsPerSample = getNumDPPSample();
365      int dataPointRank = getPointDataView().getRank();
366      ShapeType dataPointShape = getPointDataView().getShape();
367      //
368      // check rank:
369      if (value.getrank()!=dataPointRank)
370           throw DataException("Rank of numarray does not match Data object rank");
371      if (numSamples*numDataPointsPerSample > 0) {
372         //TODO: global error handling
373         if ((sampleNo >= numSamples) || (sampleNo < 0 )) {
374              throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
375         }
376         if ((dataPointNo >= numDataPointsPerSample) || (dataPointNo < 0)) {
377               throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
378         }
379         DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
380         if (dataPointRank==0) {
381             dataPointView()=extract<double>(value[0]);
382         } else if (dataPointRank==1) {
383            for (int i=0; i<dataPointShape[0]; i++) {
384                dataPointView(i)=extract<double>(value[i]);
385            }
386         } else if (dataPointRank==2) {
387            for (int i=0; i<dataPointShape[0]; i++) {
388               for (int j=0; j<dataPointShape[1]; j++) {
389                  dataPointView(i,j)=extract<double>(value[i][j]);
390               }
391            }
392         } else if (dataPointRank==3) {
393            for (int i=0; i<dataPointShape[0]; i++) {
394               for (int j=0; j<dataPointShape[1]; j++) {
395                  for (int k=0; k<dataPointShape[2]; k++) {
396                     dataPointView(i,j,k)=extract<double>(value[i][j][k]);
397                  }
398               }
399            }
400         } else if (dataPointRank==4) {
401             for (int i=0; i<dataPointShape[0]; i++) {
402               for (int j=0; j<dataPointShape[1]; j++) {
403                 for (int k=0; k<dataPointShape[2]; k++) {
404                   for (int l=0; l<dataPointShape[3]; l++) {
405                      dataPointView(i,j,k,l)=extract<double>(value[i][j][k][l]);
406                   }
407                 }
408               }
409             }
410         }
411      }
412    }
413    void
414    DataExpanded::copyAll(const boost::python::numeric::array& value) {
415      //
416      // Get the number of samples and data-points per sample.
417      int numSamples = getNumSamples();
418      int numDataPointsPerSample = getNumDPPSample();
419      int dataPointRank = getPointDataView().getRank();
420      ShapeType dataPointShape = getPointDataView().getShape();
421      //
422      // check rank:
423      if (value.getrank()!=dataPointRank+1)
424           throw DataException("Rank of numarray does not match Data object rank");
425      if (value.getshape()[0]!=numSamples*numDataPointsPerSample)
426           throw DataException("leading dimension of numarray is too small");
427      //
428      int dataPoint = 0;
429      for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) {
430        for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
431          DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
432          if (dataPointRank==0) {
433             dataPointView()=extract<double>(value[dataPoint]);
434          } else if (dataPointRank==1) {
435             for (int i=0; i<dataPointShape[0]; i++) {
436                dataPointView(i)=extract<double>(value[dataPoint][i]);
437             }
438          } else if (dataPointRank==2) {
439             for (int i=0; i<dataPointShape[0]; i++) {
440               for (int j=0; j<dataPointShape[1]; j++) {
441                 dataPointView(i,j)=extract<double>(value[dataPoint][i][j]);
442               }
443             }
444           } else if (dataPointRank==3) {
445             for (int i=0; i<dataPointShape[0]; i++) {
446               for (int j=0; j<dataPointShape[1]; j++) {
447                 for (int k=0; k<dataPointShape[2]; k++) {
448                     dataPointView(i,j,k)=extract<double>(value[dataPoint][i][j][k]);
449                 }
450               }
451             }
452           } else if (dataPointRank==4) {
453             for (int i=0; i<dataPointShape[0]; i++) {
454               for (int j=0; j<dataPointShape[1]; j++) {
455                 for (int k=0; k<dataPointShape[2]; k++) {
456                   for (int l=0; l<dataPointShape[3]; l++) {
457                     dataPointView(i,j,k,l)=extract<double>(value[dataPoint][i][j][k][l]);
458                   }
459                 }
460               }
461             }
462        }        }
463          dataPoint++;
464      }      }
     return temp.str();  
465    }    }
466    }
467    void
468    DataExpanded::symmetric(DataAbstract* ev)
469    {
470      int sampleNo,dataPointNo;
471      int numSamples = getNumSamples();
472      int numDataPointsPerSample = getNumDPPSample();
473      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
474      if (temp_ev==0) {
475        throw DataException("Error - DataExpanded::symmetric: casting to DataExpanded failed (propably a programming error).");
476      }
477      DataArrayView& thisView=getPointDataView();
478      DataArrayView& evView=ev->getPointDataView();
479      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
480      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
481        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
482             DataArrayView::symmetric(thisView,getPointOffset(sampleNo,dataPointNo),
483                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
484        }
485      }
486    }
487    void
488    DataExpanded::nonsymmetric(DataAbstract* ev)
489    {
490      int sampleNo,dataPointNo;
491      int numSamples = getNumSamples();
492      int numDataPointsPerSample = getNumDPPSample();
493      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
494      if (temp_ev==0) {
495        throw DataException("Error - DataExpanded::nonsymmetric: casting to DataExpanded failed (propably a programming error).");
496      }
497      DataArrayView& thisView=getPointDataView();
498      DataArrayView& evView=ev->getPointDataView();
499      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
500      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
501        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
502             DataArrayView::nonsymmetric(thisView,getPointOffset(sampleNo,dataPointNo),
503                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
504        }
505      }
506    }
507    void
508    DataExpanded::trace(DataAbstract* ev, int axis_offset)
509    {
510      int sampleNo,dataPointNo;
511      int numSamples = getNumSamples();
512      int numDataPointsPerSample = getNumDPPSample();
513      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
514      if (temp_ev==0) {
515        throw DataException("Error - DataExpanded::trace: casting to DataExpanded failed (propably a programming error).");
516      }
517      DataArrayView& thisView=getPointDataView();
518      DataArrayView& evView=ev->getPointDataView();
519      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
520      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
521        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
522             DataArrayView::trace(thisView,getPointOffset(sampleNo,dataPointNo),
523                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
524        }
525      }
526    }
527    
528    void
529    DataExpanded::transpose(DataAbstract* ev, int axis_offset)
530    {
531      int sampleNo,dataPointNo;
532      int numSamples = getNumSamples();
533      int numDataPointsPerSample = getNumDPPSample();
534      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
535      if (temp_ev==0) {
536        throw DataException("Error - DataExpanded::transpose: casting to DataExpanded failed (propably a programming error).");
537      }
538      DataArrayView& thisView=getPointDataView();
539      DataArrayView& evView=ev->getPointDataView();
540      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
541      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
542        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
543             DataArrayView::transpose(thisView,getPointOffset(sampleNo,dataPointNo),
544                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
545        }
546      }
547    }
548    
549    void
550    DataExpanded::swapaxes(DataAbstract* ev, int axis0, int axis1)
551    {
552      int sampleNo,dataPointNo;
553      int numSamples = getNumSamples();
554      int numDataPointsPerSample = getNumDPPSample();
555      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
556      if (temp_ev==0) {
557        throw DataException("Error - DataExpanded::swapaxes: casting to DataExpanded failed (propably a programming error).");
558      }
559      DataArrayView& thisView=getPointDataView();
560      DataArrayView& evView=ev->getPointDataView();
561      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
562      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
563        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
564             DataArrayView::swapaxes(thisView,getPointOffset(sampleNo,dataPointNo),
565                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis0,axis1);
566        }
567      }
568    }
569    void
570    DataExpanded::eigenvalues(DataAbstract* ev)
571    {
572      int sampleNo,dataPointNo;
573      int numSamples = getNumSamples();
574      int numDataPointsPerSample = getNumDPPSample();
575      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
576      if (temp_ev==0) {
577        throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error).");
578      }
579      DataArrayView& thisView=getPointDataView();
580      DataArrayView& evView=ev->getPointDataView();
581      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
582      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
583        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
584             DataArrayView::eigenvalues(thisView,getPointOffset(sampleNo,dataPointNo),
585                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
586        }
587      }
588    }
589    void
590    DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol)
591    {
592      int numSamples = getNumSamples();
593      int numDataPointsPerSample = getNumDPPSample();
594      int sampleNo,dataPointNo;
595      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
596      if (temp_ev==0) {
597        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
598      }
599      DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V);
600      if (temp_V==0) {
601        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
602      }
603      DataArrayView& thisView=getPointDataView();
604      DataArrayView& evView=ev->getPointDataView();
605      DataArrayView& VView=V->getPointDataView();
606      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
607      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
608        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
609             DataArrayView::eigenvalues_and_eigenvectors(thisView,getPointOffset(sampleNo,dataPointNo),
610                                                         evView,ev->getPointOffset(sampleNo,dataPointNo),
611                                                         VView,V->getPointOffset(sampleNo,dataPointNo),
612                                                         tol);
613        }
614      }
615    }
616    
617    void
618    DataExpanded::dump(const std::string fileName) const
619    {
620        throw DataException("Error - DataExpanded:: dump: not implemented.");
621    }
622    
   DataArrayView::ValueType::size_type DataExpanded::getPointOffset(int sampleNo, int dataPointNo) const  
   {  
     return m_data.index(sampleNo,dataPointNo);  
   }  
   
   DataArrayView DataExpanded::getDataPoint(int sampleNo, int dataPointNo)  
   {  
     DataArrayView temp(m_data.getData(), getPointDataView().getShape(), m_data.index(sampleNo,dataPointNo));  
     return temp;  
   }  
   
   DataArrayView::ValueType::size_type DataExpanded::getLength() const  
   {  
     return m_data.getData().size();  
   }  
623    
624  }  // end of namespace  }  // end of namespace

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