/[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 856 by gross, Tue Sep 26 01:00:36 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      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.getReferenceNoFromSampleNo(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  void
296      //     << " noSamples=" << noSamples  DataExpanded::setRefValue(int ref,
297      //     << " noValuesPerDataPoint=" << DataArrayView::noValues(shape) << endl;                            const DataArray& value)
298      m_data.resize(noSamples,noDataPointsPerSample, DataArrayView::noValues(shape));  {
299      //    //
300      // create a point data viewer of the data    // Get the number of samples and data-points per sample.
301      DataArrayView temp(m_data.getData(),shape);    int numSamples = getNumSamples();
302      setPointDataView(temp);    int numDPPSample = getNumDPPSample();
303      //cout << "leaving initialise." << endl;  
304    }    //
305      // Determine the sample number which corresponds to this reference number.
306    string DataExpanded::toString() const    int sampleNo = -1;
307    {    int tempRef = -1;
308      stringstream temp;    for (int n=0; n<numSamples; n++) {
309      //      tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);
310      // create a temporary view as the offset will be changed      if (tempRef == ref) {
311      DataArrayView tempView(getPointDataView().getData(), getPointDataView().getShape(), getPointDataView().getOffset());        sampleNo = n;
312      for (int i=0;i<m_data.getNumRows();++i) {        break;
313        for (int j=0;j<m_data.getNumCols();++j) {      }
314          tempView.setOffset(m_data.index(i,j));    }
315      stringstream suffix;    if (sampleNo == -1) {
316      suffix << "(" << i << "," << j << ")";      throw DataException("DataExpanded::setRefValue error: invalid ref number supplied.");
317      temp << tempView.toString(suffix.str());    }
318      if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {  
319        temp << endl;    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::getRefValue(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::getRefValue 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::copyAll(const boost::python::numeric::array& 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      //
385      // check rank:
386      if (value.getrank()!=dataPointRank+1)
387           throw DataException("Rank of numarray does not match Data object rank");
388      if (value.getshape()[0]!=numSamples*numDataPointsPerSample)
389           throw DataException("leading dimension of numarray is too small");
390      //
391      int dataPoint = 0;
392      for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) {
393        for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
394          DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
395          if (dataPointRank==0) {
396             dataPointView()=extract<double>(value[dataPoint]);
397          } else if (dataPointRank==1) {
398             for (int i=0; i<dataPointShape[0]; i++) {
399                dataPointView(i)=extract<double>(value[dataPoint][i]);
400             }
401          } else if (dataPointRank==2) {
402             for (int i=0; i<dataPointShape[0]; i++) {
403               for (int j=0; j<dataPointShape[1]; j++) {
404                 dataPointView(i,j)=extract<double>(value[dataPoint][i][j]);
405               }
406             }
407           } else if (dataPointRank==3) {
408             for (int i=0; i<dataPointShape[0]; i++) {
409               for (int j=0; j<dataPointShape[1]; j++) {
410                 for (int k=0; k<dataPointShape[2]; k++) {
411                     dataPointView(i,j,k)=extract<double>(value[dataPoint][i][j][k]);
412                 }
413               }
414             }
415           } else if (dataPointRank==4) {
416             for (int i=0; i<dataPointShape[0]; i++) {
417               for (int j=0; j<dataPointShape[1]; j++) {
418                 for (int k=0; k<dataPointShape[2]; k++) {
419                   for (int l=0; l<dataPointShape[3]; l++) {
420                     dataPointView(i,j,k,l)=extract<double>(value[dataPoint][i][j][k][l]);
421                   }
422                 }
423               }
424             }
425        }        }
426          dataPoint++;
427      }      }
     return temp.str();  
428    }    }
429    }
430    DataArrayView::ValueType::size_type DataExpanded::getPointOffset(int sampleNo, int dataPointNo) const  void
431    {  DataExpanded::symmetric(DataAbstract* ev)
432      return m_data.index(sampleNo,dataPointNo);  {
433    }    int sampleNo,dataPointNo;
434      int numSamples = getNumSamples();
435    DataArrayView DataExpanded::getDataPoint(int sampleNo, int dataPointNo)    int numDataPointsPerSample = getNumDPPSample();
436    {    DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
437      DataArrayView temp(m_data.getData(), getPointDataView().getShape(), m_data.index(sampleNo,dataPointNo));    if (temp_ev==0) {
438      return temp;      throw DataException("Error - DataExpanded::symmetric: casting to DataExpanded failed (propably a programming error).");
439    }    }
440      DataArrayView& thisView=getPointDataView();
441    DataArrayView::ValueType::size_type DataExpanded::getLength() const    DataArrayView& evView=ev->getPointDataView();
442    {    #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
443      return m_data.getData().size();    for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
444        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
445             DataArrayView::symmetric(thisView,getPointOffset(sampleNo,dataPointNo),
446                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
447        }
448      }
449    }
450    void
451    DataExpanded::nonsymmetric(DataAbstract* ev)
452    {
453      int sampleNo,dataPointNo;
454      int numSamples = getNumSamples();
455      int numDataPointsPerSample = getNumDPPSample();
456      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
457      if (temp_ev==0) {
458        throw DataException("Error - DataExpanded::nonsymmetric: casting to DataExpanded failed (propably a programming error).");
459      }
460      DataArrayView& thisView=getPointDataView();
461      DataArrayView& evView=ev->getPointDataView();
462      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
463      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
464        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
465             DataArrayView::nonsymmetric(thisView,getPointOffset(sampleNo,dataPointNo),
466                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
467        }
468      }
469    }
470    void
471    DataExpanded::trace(DataAbstract* ev, int axis_offset)
472    {
473      int sampleNo,dataPointNo;
474      int numSamples = getNumSamples();
475      int numDataPointsPerSample = getNumDPPSample();
476      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
477      if (temp_ev==0) {
478        throw DataException("Error - DataExpanded::trace: casting to DataExpanded failed (propably a programming error).");
479      }
480      DataArrayView& thisView=getPointDataView();
481      DataArrayView& evView=ev->getPointDataView();
482      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
483      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
484        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
485             DataArrayView::trace(thisView,getPointOffset(sampleNo,dataPointNo),
486                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
487        }
488      }
489    }
490    
491    void
492    DataExpanded::transpose(DataAbstract* ev, int axis_offset)
493    {
494      int sampleNo,dataPointNo;
495      int numSamples = getNumSamples();
496      int numDataPointsPerSample = getNumDPPSample();
497      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
498      if (temp_ev==0) {
499        throw DataException("Error - DataExpanded::transpose: casting to DataExpanded failed (propably a programming error).");
500      }
501      DataArrayView& thisView=getPointDataView();
502      DataArrayView& evView=ev->getPointDataView();
503      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
504      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
505        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
506             DataArrayView::transpose(thisView,getPointOffset(sampleNo,dataPointNo),
507                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
508        }
509      }
510    }
511    
512    void
513    DataExpanded::swapaxes(DataAbstract* ev, int axis0, int axis1)
514    {
515      int sampleNo,dataPointNo;
516      int numSamples = getNumSamples();
517      int numDataPointsPerSample = getNumDPPSample();
518      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
519      if (temp_ev==0) {
520        throw DataException("Error - DataExpanded::swapaxes: casting to DataExpanded failed (propably a programming error).");
521      }
522      DataArrayView& thisView=getPointDataView();
523      DataArrayView& evView=ev->getPointDataView();
524      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
525      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
526        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
527             DataArrayView::swapaxes(thisView,getPointOffset(sampleNo,dataPointNo),
528                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis0,axis1);
529        }
530      }
531    }
532    void
533    DataExpanded::eigenvalues(DataAbstract* ev)
534    {
535      int sampleNo,dataPointNo;
536      int numSamples = getNumSamples();
537      int numDataPointsPerSample = getNumDPPSample();
538      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
539      if (temp_ev==0) {
540        throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error).");
541      }
542      DataArrayView& thisView=getPointDataView();
543      DataArrayView& evView=ev->getPointDataView();
544      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
545      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
546        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
547             DataArrayView::eigenvalues(thisView,getPointOffset(sampleNo,dataPointNo),
548                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
549        }
550      }
551    }
552    void
553    DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol)
554    {
555      int numSamples = getNumSamples();
556      int numDataPointsPerSample = getNumDPPSample();
557      int sampleNo,dataPointNo;
558      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
559      if (temp_ev==0) {
560        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
561      }
562      DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V);
563      if (temp_V==0) {
564        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
565      }
566      DataArrayView& thisView=getPointDataView();
567      DataArrayView& evView=ev->getPointDataView();
568      DataArrayView& VView=V->getPointDataView();
569      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
570      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
571        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
572             DataArrayView::eigenvalues_and_eigenvectors(thisView,getPointOffset(sampleNo,dataPointNo),
573                                                         evView,ev->getPointOffset(sampleNo,dataPointNo),
574                                                         VView,V->getPointOffset(sampleNo,dataPointNo),
575                                                         tol);
576        }
577    }    }
578    }
579    
580  }  // end of namespace  }  // end of namespace

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