/[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 854 by gross, Thu Sep 21 05:29:42 2006 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      //
257      // create a temporary view as the offset will be changed
258      DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset());
259      for (int i=0;i<m_data.getNumRows();i++) {
260        for (int j=0;j<m_data.getNumCols();j++) {
261          tempView.setOffset(m_data.index(i,j));
262          stringstream suffix;
263          suffix << "(" << i << "," << j << ")";
264          temp << tempView.toString(suffix.str());
265          if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {
266            temp << endl;
267        }        }
268      }      }
269    }    }
270      return temp.str();
271    }
272    
273    void DataExpanded::copy(const boost::python::numeric::array& value)  DataArrayView::ValueType::size_type
274    {  DataExpanded::getPointOffset(int sampleNo,
275      //                               int dataPointNo) const
276      // first convert the numarray into a DataArrayView format  {
277      DataArray temp(value);    return m_data.index(sampleNo,dataPointNo);
278      //  }
279      // check the input shape matches this shape, this will throw an exception  
280      if (!getPointDataView().checkShape(temp.getView().getShape())) {  DataArrayView
281        throw DataException(getPointDataView().createShapeErrorMessage(  DataExpanded::getDataPoint(int sampleNo,
282           "Error - (DataExpanded) Cannot copy due to shape mismatch.",                             int dataPointNo)
283           temp.getView().getShape()));  {
284      }    DataArrayView temp(m_data.getData(),getPointDataView().getShape(),m_data.index(sampleNo,dataPointNo));
285      //    return temp;
286      // now copy over the entire data structure  }
287      copy(temp.getView());  
288    }  DataArrayView::ValueType::size_type
289    DataExpanded::getLength() const
290    void DataExpanded::initialise(const DataArrayView::ShapeType& shape, int noSamples, int noDataPointsPerSample)  {
291    {    return m_data.size();
292      //  }
293      // resize data to the required size  
294      //cout << "noDataPointsPerSample=" << noDataPointsPerSample  void
295      //     << " noSamples=" << noSamples  DataExpanded::setRefValue(int ref,
296      //     << " noValuesPerDataPoint=" << DataArrayView::noValues(shape) << endl;                            const DataArray& value)
297      m_data.resize(noSamples,noDataPointsPerSample, DataArrayView::noValues(shape));  {
298      //    //
299      // create a point data viewer of the data    // Get the number of samples and data-points per sample.
300      DataArrayView temp(m_data.getData(),shape);    int numSamples = getNumSamples();
301      setPointDataView(temp);    int numDPPSample = getNumDPPSample();
302      //cout << "leaving initialise." << endl;  
303    }    //
304      // Determine the sample number which corresponds to this reference number.
305    string DataExpanded::toString() const    int sampleNo = -1;
306    {    int tempRef = -1;
307      stringstream temp;    for (int n=0; n<numSamples; n++) {
308      //      tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);
309      // create a temporary view as the offset will be changed      if (tempRef == ref) {
310      DataArrayView tempView(getPointDataView().getData(), getPointDataView().getShape(), getPointDataView().getOffset());        sampleNo = n;
311      for (int i=0;i<m_data.getNumRows();++i) {        break;
312        for (int j=0;j<m_data.getNumCols();++j) {      }
313          tempView.setOffset(m_data.index(i,j));    }
314      stringstream suffix;    if (sampleNo == -1) {
315      suffix << "(" << i << "," << j << ")";      throw DataException("DataExpanded::setRefValue error: invalid ref number supplied.");
316      temp << tempView.toString(suffix.str());    }
317      if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {  
318        temp << endl;    for (int n=0; n<numDPPSample; n++) {
319      }      //
320        // Get *each* data-point in the sample in turn.
321        DataArrayView pointView = getDataPoint(sampleNo, n);
322        //
323        // Assign the values in the DataArray to this data-point.
324        pointView.copy(value.getView());
325      }
326    }
327    
328    void
329    DataExpanded::getRefValue(int ref,
330                              DataArray& value)
331    {
332      //
333      // Get the number of samples and data-points per sample.
334      int numSamples = getNumSamples();
335      int numDPPSample = getNumDPPSample();
336    
337      //
338      // Determine the sample number which corresponds to this reference number
339      int sampleNo = -1;
340      int tempRef = -1;
341      for (int n=0; n<numSamples; n++) {
342        tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);
343        if (tempRef == ref) {
344          sampleNo = n;
345          break;
346        }
347      }
348      if (sampleNo == -1) {
349        throw DataException("DataExpanded::getRefValue error: invalid ref number supplied.");
350      }
351    
352      //
353      // Get the *first* data-point associated with this sample number.
354      DataArrayView pointView = getDataPoint(sampleNo, 0);
355    
356      //
357      // Load the values from this data-point into the DataArray
358      value.getView().copy(pointView);
359    }
360    
361    int
362    DataExpanded::archiveData(ofstream& archiveFile,
363                              const DataArrayView::ValueType::size_type noValues) const
364    {
365      return(m_data.archiveData(archiveFile, noValues));
366    }
367    
368    int
369    DataExpanded::extractData(ifstream& archiveFile,
370                              const DataArrayView::ValueType::size_type noValues)
371    {
372      return(m_data.extractData(archiveFile, noValues));
373    }
374    
375    void
376    DataExpanded::copyAll(const boost::python::numeric::array& value) {
377      //
378      // Get the number of samples and data-points per sample.
379      int numSamples = getNumSamples();
380      int numDataPointsPerSample = getNumDPPSample();
381      int dataPointRank = getPointDataView().getRank();
382      ShapeType dataPointShape = getPointDataView().getShape();
383      //
384      // check rank:
385      if (value.getrank()!=dataPointRank+1)
386           throw DataException("Rank of numarray does not match Data object rank");
387      if (value.getshape()[0]!=numSamples*numDataPointsPerSample)
388           throw DataException("leading dimension of numarray is too small");
389      //
390      int dataPoint = 0;
391      for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) {
392        for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
393          DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
394          if (dataPointRank==0) {
395             dataPointView()=extract<double>(value[dataPoint]);
396          } else if (dataPointRank==1) {
397             for (int i=0; i<dataPointShape[0]; i++) {
398                dataPointView(i)=extract<double>(value[dataPoint][i]);
399             }
400          } else if (dataPointRank==2) {
401             for (int i=0; i<dataPointShape[0]; i++) {
402               for (int j=0; j<dataPointShape[1]; j++) {
403                 dataPointView(i,j)=extract<double>(value[dataPoint][i][j]);
404               }
405             }
406           } else if (dataPointRank==3) {
407             for (int i=0; i<dataPointShape[0]; i++) {
408               for (int j=0; j<dataPointShape[1]; j++) {
409                 for (int k=0; k<dataPointShape[2]; k++) {
410                     dataPointView(i,j,k)=extract<double>(value[dataPoint][i][j][k]);
411                 }
412               }
413             }
414           } else if (dataPointRank==4) {
415             for (int i=0; i<dataPointShape[0]; i++) {
416               for (int j=0; j<dataPointShape[1]; j++) {
417                 for (int k=0; k<dataPointShape[2]; k++) {
418                   for (int l=0; l<dataPointShape[3]; l++) {
419                     dataPointView(i,j,k,l)=extract<double>(value[dataPoint][i][j][k][l]);
420                   }
421                 }
422               }
423             }
424        }        }
425          dataPoint++;
426      }      }
     return temp.str();  
427    }    }
428    }
429    DataArrayView::ValueType::size_type DataExpanded::getPointOffset(int sampleNo, int dataPointNo) const  void
430    {  DataExpanded::symmetric(DataAbstract* ev)
431      return m_data.index(sampleNo,dataPointNo);  {
432    }    int sampleNo,dataPointNo;
433      int numSamples = getNumSamples();
434    DataArrayView DataExpanded::getDataPoint(int sampleNo, int dataPointNo)    int numDataPointsPerSample = getNumDPPSample();
435    {    DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
436      DataArrayView temp(m_data.getData(), getPointDataView().getShape(), m_data.index(sampleNo,dataPointNo));    if (temp_ev==0) {
437      return temp;      throw DataException("Error - DataExpanded::symmetric: casting to DataExpanded failed (propably a programming error).");
438    }    }
439      DataArrayView& thisView=getPointDataView();
440    DataArrayView::ValueType::size_type DataExpanded::getLength() const    DataArrayView& evView=ev->getPointDataView();
441    {    #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
442      return m_data.getData().size();    for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
443        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
444             DataArrayView::symmetric(thisView,getPointOffset(sampleNo,dataPointNo),
445                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
446        }
447      }
448    }
449    void
450    DataExpanded::nonsymmetric(DataAbstract* ev)
451    {
452      int sampleNo,dataPointNo;
453      int numSamples = getNumSamples();
454      int numDataPointsPerSample = getNumDPPSample();
455      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
456      if (temp_ev==0) {
457        throw DataException("Error - DataExpanded::nonsymmetric: casting to DataExpanded failed (propably a programming error).");
458      }
459      DataArrayView& thisView=getPointDataView();
460      DataArrayView& evView=ev->getPointDataView();
461      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
462      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
463        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
464             DataArrayView::nonsymmetric(thisView,getPointOffset(sampleNo,dataPointNo),
465                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
466        }
467      }
468    }
469    void
470    DataExpanded::trace(DataAbstract* ev, int axis_offset)
471    {
472      int sampleNo,dataPointNo;
473      int numSamples = getNumSamples();
474      int numDataPointsPerSample = getNumDPPSample();
475      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
476      if (temp_ev==0) {
477        throw DataException("Error - DataExpanded::trace: casting to DataExpanded failed (propably a programming error).");
478      }
479      DataArrayView& thisView=getPointDataView();
480      DataArrayView& evView=ev->getPointDataView();
481      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
482      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
483        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
484             DataArrayView::trace(thisView,getPointOffset(sampleNo,dataPointNo),
485                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
486        }
487      }
488    }
489    
490    void
491    DataExpanded::transpose(DataAbstract* ev, int axis_offset)
492    {
493      int sampleNo,dataPointNo;
494      int numSamples = getNumSamples();
495      int numDataPointsPerSample = getNumDPPSample();
496      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
497      if (temp_ev==0) {
498        throw DataException("Error - DataExpanded::transpose: casting to DataExpanded failed (propably a programming error).");
499      }
500      DataArrayView& thisView=getPointDataView();
501      DataArrayView& evView=ev->getPointDataView();
502      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
503      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
504        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
505             DataArrayView::transpose(thisView,getPointOffset(sampleNo,dataPointNo),
506                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
507        }
508      }
509    }
510    
511    void
512    DataExpanded::swapaxes(DataAbstract* ev, int axis0, int axis1)
513    {
514      int sampleNo,dataPointNo;
515      int numSamples = getNumSamples();
516      int numDataPointsPerSample = getNumDPPSample();
517      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
518      if (temp_ev==0) {
519        throw DataException("Error - DataExpanded::swapaxes: casting to DataExpanded failed (propably a programming error).");
520      }
521      DataArrayView& thisView=getPointDataView();
522      DataArrayView& evView=ev->getPointDataView();
523      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
524      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
525        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
526             DataArrayView::swapaxes(thisView,getPointOffset(sampleNo,dataPointNo),
527                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis0,axis1);
528        }
529      }
530    }
531    void
532    DataExpanded::eigenvalues(DataAbstract* ev)
533    {
534      int sampleNo,dataPointNo;
535      int numSamples = getNumSamples();
536      int numDataPointsPerSample = getNumDPPSample();
537      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
538      if (temp_ev==0) {
539        throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error).");
540      }
541      DataArrayView& thisView=getPointDataView();
542      DataArrayView& evView=ev->getPointDataView();
543      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
544      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
545        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
546             DataArrayView::eigenvalues(thisView,getPointOffset(sampleNo,dataPointNo),
547                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
548        }
549      }
550    }
551    void
552    DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol)
553    {
554      int numSamples = getNumSamples();
555      int numDataPointsPerSample = getNumDPPSample();
556      int sampleNo,dataPointNo;
557      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
558      if (temp_ev==0) {
559        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
560      }
561      DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V);
562      if (temp_V==0) {
563        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
564      }
565      DataArrayView& thisView=getPointDataView();
566      DataArrayView& evView=ev->getPointDataView();
567      DataArrayView& VView=V->getPointDataView();
568      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
569      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
570        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
571             DataArrayView::eigenvalues_and_eigenvectors(thisView,getPointOffset(sampleNo,dataPointNo),
572                                                         evView,ev->getPointOffset(sampleNo,dataPointNo),
573                                                         VView,V->getPointOffset(sampleNo,dataPointNo),
574                                                         tol);
575        }
576    }    }
577    }
578    
579  }  // end of namespace  }  // end of namespace

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