/[escript]/trunk/escript/src/DataExpanded.cpp
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trunk/esys2/escript/src/Data/DataExpanded.cpp revision 108 by jgs, Thu Jan 27 06:21:59 2005 UTC trunk/escript/src/DataExpanded.cpp revision 950 by gross, Tue Feb 6 07:01:11 2007 UTC
# Line 1  Line 1 
1  // $Id$  // $Id$
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;
# Line 35  DataExpanded::DataExpanded(const boost:: Line 30  DataExpanded::DataExpanded(const boost::
30  {  {
31    DataArrayView::ShapeType tempShape;    DataArrayView::ShapeType tempShape;
32    //    //
33    // extract the shape from the python array    // extract the shape of the python numarray
34    for (int i=0; i<value.getrank(); ++i) {    for (int i=0; i<value.getrank(); i++) {
     //cout << extract<int>(value.getshape()[i]) << endl;  
35      tempShape.push_back(extract<int>(value.getshape()[i]));      tempShape.push_back(extract<int>(value.getshape()[i]));
36    }    }
37      //
38      // initialise the data array for this object
39    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());
40    //    //
41    // copy the given value to every data point    // copy the given value to every data point
# Line 49  DataExpanded::DataExpanded(const boost:: Line 45  DataExpanded::DataExpanded(const boost::
45  DataExpanded::DataExpanded(const DataExpanded& other)  DataExpanded::DataExpanded(const DataExpanded& other)
46    : DataAbstract(other.getFunctionSpace()),    : DataAbstract(other.getFunctionSpace()),
47    m_data(other.m_data)    m_data(other.m_data)
48  {      {
49    //    //
50    // create the view for the data    // create the view for the data
51    DataArrayView temp(m_data.getData(),other.getPointDataView().getShape());    DataArrayView temp(m_data.getData(),other.getPointDataView().getShape());
# Line 58  DataExpanded::DataExpanded(const DataExp Line 54  DataExpanded::DataExpanded(const DataExp
54    
55  DataExpanded::DataExpanded(const DataConstant& other)  DataExpanded::DataExpanded(const DataConstant& other)
56    : DataAbstract(other.getFunctionSpace())    : DataAbstract(other.getFunctionSpace())
57  {      {
58      //
59      // initialise the data array for this object
60    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());
61    //    //
62    // DataConstant only has one value    // DataConstant only has one value, copy this to every data point
63    copy(other.getPointDataView());    copy(other.getPointDataView());
64  }  }
65    
66  DataExpanded::DataExpanded(const DataTagged& other)  DataExpanded::DataExpanded(const DataTagged& other)
67    : DataAbstract(other.getFunctionSpace())    : DataAbstract(other.getFunctionSpace())
68  {      {
69      //
70      // initialise the data array for this object
71    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());
72      //
73      // for each data point in this object, extract and copy the corresponding data
74      // value from the given DataTagged object
75    int i,j;    int i,j;
76    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
77    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataArrayView::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), other.getPointDataView(), other.getPointOffset(i,j));          getPointDataView().copy(getPointOffset(i,j),
83                                    other.getPointDataView(),
84                                    other.getPointOffset(i,j));
85        }        }
86        catch (std::exception& e) {        catch (std::exception& e) {
87          cout << e.what() << endl;          cout << e.what() << endl;
# Line 96  DataExpanded::DataExpanded(const DataExp Line 101  DataExpanded::DataExpanded(const DataExp
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(shape,other.getNumSamples(),other.getNumDPPSample());
103    //    //
   DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);  
   //  
104    // copy the data    // copy the data
105      DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);
106    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
107    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataArrayView::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),other.getPointDataView(),other.getPointOffset(i,j),region_loop_range);          getPointDataView().copySlice(getPointOffset(i,j),
114                                         other.getPointDataView(),
115                                         other.getPointOffset(i,j),
116                                         region_loop_range);
117        }        }
118        catch (std::exception& e) {        catch (std::exception& e) {
119          cout << e.what() << endl;          cout << e.what() << endl;
# Line 119  DataExpanded::DataExpanded(const DataArr Line 126  DataExpanded::DataExpanded(const DataArr
126                             const FunctionSpace& what)                             const FunctionSpace& what)
127    : DataAbstract(what)    : DataAbstract(what)
128  {  {
129      //
130      // get the shape of the given data value
131    DataArrayView::ShapeType tempShape=value.getShape();    DataArrayView::ShapeType tempShape=value.getShape();
132      //
133      // initialise this Data object to the shape of the given data value
134    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());
135      //
136      // copy the given value to every data point
137    copy(value);    copy(value);
138  }  }
139    
140  DataExpanded::~DataExpanded()  DataExpanded::DataExpanded(const FunctionSpace& what,
141                               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  void  DataExpanded::~DataExpanded()
 DataExpanded::reshapeDataPoint(const DataArrayView::ShapeType& shape)  
154  {  {
   //  
   // reshape a rank zero data point  
   if (getPointDataView().getRank()!=0) {  
     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());  
   }  
   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)]);  
     }  
   }  
   m_data.Swap(newData);  
   DataArrayView temp(m_data.getData(),shape);  
   setPointDataView(temp);  
155  }  }
156    
157  DataAbstract*  DataAbstract*
# Line 179  DataExpanded::setSlice(const DataAbstrac Line 169  DataExpanded::setSlice(const DataAbstrac
169      throw DataException("Programming error - casting to DataExpanded.");      throw DataException("Programming error - casting to DataExpanded.");
170    }    }
171    //    //
172      // get shape of slice
173    DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));    DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));
174    DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);    DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);
175    //    //
176    // check shape:    // check shape
177    if (getPointDataView().getRank()!=region.size()) {    if (getPointDataView().getRank()!=region.size()) {
178      throw DataException("Error - Invalid slice region.");      throw DataException("Error - Invalid slice region.");
179    }    }
180    if (tempDataExp->getPointDataView().getRank()>0 and !value->getPointDataView().checkShape(shape)) {    if (tempDataExp->getPointDataView().getRank()>0 && !value->getPointDataView().checkShape(shape)) {
181      throw DataException (value->getPointDataView().createShapeErrorMessage(      throw DataException (value->getPointDataView().createShapeErrorMessage(
182          "Error - Couldn't copy slice due to shape mismatch.",shape));          "Error - Couldn't copy slice due to shape mismatch.",shape));
183    }    }
184    //    //
185    // copy the data    // copy the data from the slice into this object
186    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
187    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();
188    int i, j;    int i, j;
189  #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
190    for (i=0;i<numRows;i++) {    for (i=0;i<numRows;i++) {
191      for (j=0;j<numCols;j++) {      for (j=0;j<numCols;j++) {
192        getPointDataView().copySliceFrom(getPointOffset(i,j),tempDataExp->getPointDataView(),tempDataExp->getPointOffset(i,j),region_loop_range);        getPointDataView().copySliceFrom(getPointOffset(i,j),
193                                           tempDataExp->getPointDataView(),
194                                           tempDataExp->getPointOffset(i,j),
195                                           region_loop_range);
196      }      }
197    }    }
198  }  }
# Line 207  void Line 201  void
201  DataExpanded::copy(const DataArrayView& value)  DataExpanded::copy(const DataArrayView& value)
202  {  {
203    //    //
204    // Copy a single value to every data point    // copy a single value to every data point in this object
205    int nRows=m_data.getNumRows();    int nRows=m_data.getNumRows();
206    int nCols=m_data.getNumCols();    int nCols=m_data.getNumCols();
207    int i, j;    int i,j;
208  #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
209    for (i=0;i<nRows;++i) {    for (i=0;i<nRows;i++) {
210      for (j=0;j<nCols;++j) {      for (j=0;j<nCols;j++) {
       //  
       // Copy the data into the specified offset  
211        // NOTE: An exception may be thown from this call if        // NOTE: An exception may be thown from this call if
212        // DOASSERT is on which of course will play        // DOASSERT is on which of course will play
213        // havoc with the omp threads. Run single threaded        // havoc with the omp threads. Run single threaded
# Line 229  void Line 221  void
221  DataExpanded::copy(const boost::python::numeric::array& value)  DataExpanded::copy(const boost::python::numeric::array& value)
222  {  {
223    //    //
224    // first convert the numarray into a DataArrayView format    // first convert the numarray into a DataArray object
225    DataArray temp(value);    DataArray temp(value);
226    //    //
227    // check the input shape matches this shape, this will throw an exception    // check the input shape matches this shape
228    if (!getPointDataView().checkShape(temp.getView().getShape())) {    if (!getPointDataView().checkShape(temp.getView().getShape())) {
229      throw DataException(getPointDataView().createShapeErrorMessage(      throw DataException(getPointDataView().createShapeErrorMessage(
230                          "Error - (DataExpanded) Cannot copy due to shape mismatch.",                          "Error - (DataExpanded) Cannot copy due to shape mismatch.",
231                          temp.getView().getShape()));                          temp.getView().getShape()));
232    }    }
233    //    //
234    // now copy over the entire data structure    // now copy over the data
235    copy(temp.getView());    copy(temp.getView());
236  }  }
237    
# Line 249  DataExpanded::initialise(const DataArray Line 241  DataExpanded::initialise(const DataArray
241                           int noDataPointsPerSample)                           int noDataPointsPerSample)
242  {  {
243    //    //
244    // resize data to the required size    // resize data array to the required size
245    m_data.resize(noSamples,noDataPointsPerSample,DataArrayView::noValues(shape));    m_data.resize(noSamples,noDataPointsPerSample,DataArrayView::noValues(shape));
246    //    //
247    // create a point data viewer of the data    // create the data view of the data array
248    DataArrayView temp(m_data.getData(),shape);    DataArrayView temp(m_data.getData(),shape);
249    setPointDataView(temp);    setPointDataView(temp);
250  }  }
# Line 261  string Line 253  string
253  DataExpanded::toString() const  DataExpanded::toString() const
254  {  {
255    stringstream temp;    stringstream temp;
256      FunctionSpace fs=getFunctionSpace();
257    //    //
258    // create a temporary view as the offset will be changed    // create a temporary view as the offset will be changed
259    DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset());    DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset());
260    for (int i=0;i<m_data.getNumRows();++i) {    for (int i=0;i<m_data.getNumRows();i++) {
261      for (int j=0;j<m_data.getNumCols();++j) {      for (int j=0;j<m_data.getNumCols();j++) {
262        tempView.setOffset(m_data.index(i,j));        tempView.setOffset(m_data.index(i,j));
263        stringstream suffix;        stringstream suffix;
264        suffix << "(" << i << "," << j << ")";        suffix << "( id: " << i << ", ref: " << fs.getReferenceNoFromSampleNo(i) << ", pnt: " << j << ")";
265        temp << tempView.toString(suffix.str());        temp << tempView.toString(suffix.str());
266        if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {        if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {
267          temp << endl;          temp << endl;
# Line 296  DataExpanded::getDataPoint(int sampleNo, Line 289  DataExpanded::getDataPoint(int sampleNo,
289  DataArrayView::ValueType::size_type  DataArrayView::ValueType::size_type
290  DataExpanded::getLength() const  DataExpanded::getLength() const
291  {  {
292    return m_data.getData().size();    return m_data.size();
293    }
294    
295    void
296    DataExpanded::setValueByReferenceNumber(int ref,
297                              const DataArray& value)
298    {
299      //
300      // Get the number of samples and data-points per sample.
301      int numSamples = getNumSamples();
302      int numDPPSample = getNumDPPSample();
303    
304      //
305      // Determine the sample number which corresponds to this reference number.
306      int sampleNo = -1;
307      int tempRef = -1;
308      for (int n=0; n<numSamples; n++) {
309        tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);
310        if (tempRef == ref) {
311          sampleNo = n;
312          break;
313        }
314      }
315      if (sampleNo == -1) {
316        throw DataException("DataExpanded::setValueByReferenceNumber error: invalid ref number supplied.");
317      }
318    
319      for (int n=0; n<numDPPSample; n++) {
320        //
321        // Get *each* data-point in the sample in turn.
322        DataArrayView pointView = getDataPoint(sampleNo, n);
323        //
324        // Assign the values in the DataArray to this data-point.
325        pointView.copy(value.getView());
326      }
327  }  }
328    
329    void
330    DataExpanded::getValueByReferenceNumber(int ref,
331                              DataArray& value)
332    {
333      //
334      // Get the number of samples and data-points per sample.
335      int numSamples = getNumSamples();
336      int numDPPSample = getNumDPPSample();
337    
338      //
339      // Determine the sample number which corresponds to this reference number
340      int sampleNo = -1;
341      int tempRef = -1;
342      for (int n=0; n<numSamples; n++) {
343        tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);
344        if (tempRef == ref) {
345          sampleNo = n;
346          break;
347        }
348      }
349      if (sampleNo == -1) {
350        throw DataException("DataExpanded::getValueByReferenceNumber error: invalid ref number supplied.");
351      }
352    
353      //
354      // Get the *first* data-point associated with this sample number.
355      DataArrayView pointView = getDataPoint(sampleNo, 0);
356    
357      //
358      // Load the values from this data-point into the DataArray
359      value.getView().copy(pointView);
360    }
361    
362    int
363    DataExpanded::archiveData(ofstream& archiveFile,
364                              const DataArrayView::ValueType::size_type noValues) const
365    {
366      return(m_data.archiveData(archiveFile, noValues));
367    }
368    
369    int
370    DataExpanded::extractData(ifstream& archiveFile,
371                              const DataArrayView::ValueType::size_type noValues)
372    {
373      return(m_data.extractData(archiveFile, noValues));
374    }
375    
376    void
377    DataExpanded::copyToDataPoint(const int sampleNo, const int dataPointNo, const double value) {
378      //
379      // Get the number of samples and data-points per sample.
380      int numSamples = getNumSamples();
381      int numDataPointsPerSample = getNumDPPSample();
382      int dataPointRank = getPointDataView().getRank();
383      ShapeType dataPointShape = getPointDataView().getShape();
384      if (numSamples*numDataPointsPerSample > 0) {
385         //TODO: global error handling
386         if ((sampleNo >= numSamples) || (sampleNo < 0 )) {
387              throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
388         }
389         if ((dataPointNo >= numDataPointsPerSample) || (dataPointNo < 0)) {
390               throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
391         }
392         DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
393         if (dataPointRank==0) {
394             dataPointView()=value;
395         } else if (dataPointRank==1) {
396            for (int i=0; i<dataPointShape[0]; i++) {
397                dataPointView(i)=value;
398            }
399         } else if (dataPointRank==2) {
400            for (int i=0; i<dataPointShape[0]; i++) {
401               for (int j=0; j<dataPointShape[1]; j++) {
402                  dataPointView(i,j)=value;
403               }
404            }
405         } else if (dataPointRank==3) {
406            for (int i=0; i<dataPointShape[0]; i++) {
407               for (int j=0; j<dataPointShape[1]; j++) {
408                  for (int k=0; k<dataPointShape[2]; k++) {
409                     dataPointView(i,j,k)=value;
410                  }
411               }
412            }
413         } else if (dataPointRank==4) {
414             for (int i=0; i<dataPointShape[0]; i++) {
415               for (int j=0; j<dataPointShape[1]; j++) {
416                 for (int k=0; k<dataPointShape[2]; k++) {
417                   for (int l=0; l<dataPointShape[3]; l++) {
418                      dataPointView(i,j,k,l)=value;
419                   }
420                 }
421               }
422             }
423         }
424      }
425    }
426    void
427    DataExpanded::copyToDataPoint(const int sampleNo, const int dataPointNo, const boost::python::numeric::array& value) {
428      //
429      // Get the number of samples and data-points per sample.
430      int numSamples = getNumSamples();
431      int numDataPointsPerSample = getNumDPPSample();
432      int dataPointRank = getPointDataView().getRank();
433      ShapeType dataPointShape = getPointDataView().getShape();
434      //
435      // check rank:
436      if (value.getrank()!=dataPointRank)
437           throw DataException("Rank of numarray does not match Data object rank");
438      if (numSamples*numDataPointsPerSample > 0) {
439         //TODO: global error handling
440         if ((sampleNo >= numSamples) || (sampleNo < 0 )) {
441              throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
442         }
443         if ((dataPointNo >= numDataPointsPerSample) || (dataPointNo < 0)) {
444               throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
445         }
446         DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
447         if (dataPointRank==0) {
448             dataPointView()=extract<double>(value[0]);
449         } else if (dataPointRank==1) {
450            for (int i=0; i<dataPointShape[0]; i++) {
451                dataPointView(i)=extract<double>(value[i]);
452            }
453         } else if (dataPointRank==2) {
454            for (int i=0; i<dataPointShape[0]; i++) {
455               for (int j=0; j<dataPointShape[1]; j++) {
456                  dataPointView(i,j)=extract<double>(value[i][j]);
457               }
458            }
459         } else if (dataPointRank==3) {
460            for (int i=0; i<dataPointShape[0]; i++) {
461               for (int j=0; j<dataPointShape[1]; j++) {
462                  for (int k=0; k<dataPointShape[2]; k++) {
463                     dataPointView(i,j,k)=extract<double>(value[i][j][k]);
464                  }
465               }
466            }
467         } else if (dataPointRank==4) {
468             for (int i=0; i<dataPointShape[0]; i++) {
469               for (int j=0; j<dataPointShape[1]; j++) {
470                 for (int k=0; k<dataPointShape[2]; k++) {
471                   for (int l=0; l<dataPointShape[3]; l++) {
472                      dataPointView(i,j,k,l)=extract<double>(value[i][j][k][l]);
473                   }
474                 }
475               }
476             }
477         }
478      }
479    }
480    void
481    DataExpanded::copyAll(const boost::python::numeric::array& value) {
482      //
483      // Get the number of samples and data-points per sample.
484      int numSamples = getNumSamples();
485      int numDataPointsPerSample = getNumDPPSample();
486      int dataPointRank = getPointDataView().getRank();
487      ShapeType dataPointShape = getPointDataView().getShape();
488      //
489      // check rank:
490      if (value.getrank()!=dataPointRank+1)
491           throw DataException("Rank of numarray does not match Data object rank");
492      if (value.getshape()[0]!=numSamples*numDataPointsPerSample)
493           throw DataException("leading dimension of numarray is too small");
494      //
495      int dataPoint = 0;
496      for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) {
497        for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
498          DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
499          if (dataPointRank==0) {
500             dataPointView()=extract<double>(value[dataPoint]);
501          } else if (dataPointRank==1) {
502             for (int i=0; i<dataPointShape[0]; i++) {
503                dataPointView(i)=extract<double>(value[dataPoint][i]);
504             }
505          } else if (dataPointRank==2) {
506             for (int i=0; i<dataPointShape[0]; i++) {
507               for (int j=0; j<dataPointShape[1]; j++) {
508                 dataPointView(i,j)=extract<double>(value[dataPoint][i][j]);
509               }
510             }
511           } else if (dataPointRank==3) {
512             for (int i=0; i<dataPointShape[0]; i++) {
513               for (int j=0; j<dataPointShape[1]; j++) {
514                 for (int k=0; k<dataPointShape[2]; k++) {
515                     dataPointView(i,j,k)=extract<double>(value[dataPoint][i][j][k]);
516                 }
517               }
518             }
519           } else if (dataPointRank==4) {
520             for (int i=0; i<dataPointShape[0]; i++) {
521               for (int j=0; j<dataPointShape[1]; j++) {
522                 for (int k=0; k<dataPointShape[2]; k++) {
523                   for (int l=0; l<dataPointShape[3]; l++) {
524                     dataPointView(i,j,k,l)=extract<double>(value[dataPoint][i][j][k][l]);
525                   }
526                 }
527               }
528             }
529          }
530          dataPoint++;
531        }
532      }
533    }
534    void
535    DataExpanded::symmetric(DataAbstract* ev)
536    {
537      int sampleNo,dataPointNo;
538      int numSamples = getNumSamples();
539      int numDataPointsPerSample = getNumDPPSample();
540      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
541      if (temp_ev==0) {
542        throw DataException("Error - DataExpanded::symmetric: casting to DataExpanded failed (propably a programming error).");
543      }
544      DataArrayView& thisView=getPointDataView();
545      DataArrayView& evView=ev->getPointDataView();
546      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
547      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
548        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
549             DataArrayView::symmetric(thisView,getPointOffset(sampleNo,dataPointNo),
550                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
551        }
552      }
553    }
554    void
555    DataExpanded::nonsymmetric(DataAbstract* ev)
556    {
557      int sampleNo,dataPointNo;
558      int numSamples = getNumSamples();
559      int numDataPointsPerSample = getNumDPPSample();
560      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
561      if (temp_ev==0) {
562        throw DataException("Error - DataExpanded::nonsymmetric: casting to DataExpanded failed (propably a programming error).");
563      }
564      DataArrayView& thisView=getPointDataView();
565      DataArrayView& evView=ev->getPointDataView();
566      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
567      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
568        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
569             DataArrayView::nonsymmetric(thisView,getPointOffset(sampleNo,dataPointNo),
570                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
571        }
572      }
573    }
574    void
575    DataExpanded::trace(DataAbstract* ev, int axis_offset)
576    {
577      int sampleNo,dataPointNo;
578      int numSamples = getNumSamples();
579      int numDataPointsPerSample = getNumDPPSample();
580      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
581      if (temp_ev==0) {
582        throw DataException("Error - DataExpanded::trace: casting to DataExpanded failed (propably a programming error).");
583      }
584      DataArrayView& thisView=getPointDataView();
585      DataArrayView& evView=ev->getPointDataView();
586      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
587      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
588        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
589             DataArrayView::trace(thisView,getPointOffset(sampleNo,dataPointNo),
590                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
591        }
592      }
593    }
594    
595    void
596    DataExpanded::transpose(DataAbstract* ev, int axis_offset)
597    {
598      int sampleNo,dataPointNo;
599      int numSamples = getNumSamples();
600      int numDataPointsPerSample = getNumDPPSample();
601      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
602      if (temp_ev==0) {
603        throw DataException("Error - DataExpanded::transpose: casting to DataExpanded failed (propably a programming error).");
604      }
605      DataArrayView& thisView=getPointDataView();
606      DataArrayView& evView=ev->getPointDataView();
607      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
608      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
609        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
610             DataArrayView::transpose(thisView,getPointOffset(sampleNo,dataPointNo),
611                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
612        }
613      }
614    }
615    
616    void
617    DataExpanded::swapaxes(DataAbstract* ev, int axis0, int axis1)
618    {
619      int sampleNo,dataPointNo;
620      int numSamples = getNumSamples();
621      int numDataPointsPerSample = getNumDPPSample();
622      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
623      if (temp_ev==0) {
624        throw DataException("Error - DataExpanded::swapaxes: casting to DataExpanded failed (propably a programming error).");
625      }
626      DataArrayView& thisView=getPointDataView();
627      DataArrayView& evView=ev->getPointDataView();
628      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
629      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
630        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
631             DataArrayView::swapaxes(thisView,getPointOffset(sampleNo,dataPointNo),
632                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis0,axis1);
633        }
634      }
635    }
636    void
637    DataExpanded::eigenvalues(DataAbstract* ev)
638    {
639      int sampleNo,dataPointNo;
640      int numSamples = getNumSamples();
641      int numDataPointsPerSample = getNumDPPSample();
642      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
643      if (temp_ev==0) {
644        throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error).");
645      }
646      DataArrayView& thisView=getPointDataView();
647      DataArrayView& evView=ev->getPointDataView();
648      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
649      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
650        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
651             DataArrayView::eigenvalues(thisView,getPointOffset(sampleNo,dataPointNo),
652                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
653        }
654      }
655    }
656    void
657    DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol)
658    {
659      int numSamples = getNumSamples();
660      int numDataPointsPerSample = getNumDPPSample();
661      int sampleNo,dataPointNo;
662      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
663      if (temp_ev==0) {
664        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
665      }
666      DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V);
667      if (temp_V==0) {
668        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
669      }
670      DataArrayView& thisView=getPointDataView();
671      DataArrayView& evView=ev->getPointDataView();
672      DataArrayView& VView=V->getPointDataView();
673      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
674      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
675        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
676             DataArrayView::eigenvalues_and_eigenvectors(thisView,getPointOffset(sampleNo,dataPointNo),
677                                                         evView,ev->getPointOffset(sampleNo,dataPointNo),
678                                                         VView,V->getPointOffset(sampleNo,dataPointNo),
679                                                         tol);
680        }
681      }
682    }
683    
684    void
685    DataExpanded::dump(const std::string fileName) const
686    {
687        throw DataException("Error - DataExpanded:: dump: not implemented.");
688    }
689    
690    
691  }  // end of namespace  }  // end of namespace

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