/[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 921 by gross, Fri Jan 5 00:54:37 2007 UTC
# Line 1  Line 1 
1    // $Id$
2  /*  /*
3   ******************************************************************************   ************************************************************
4   *                                                                            *   *          Copyright 2006 by ACcESS MNRF                   *
5   *       COPYRIGHT  ACcESS 2004 -  All Rights Reserved                        *   *                                                          *
6   *                                                                            *   *              http://www.access.edu.au                    *
7   * This software is the property of ACcESS. No part of this code              *   *       Primary Business: Queensland, Australia            *
8   * may be copied in any form or by any means without the expressed written    *   *  Licensed under the Open Software License version 3.0    *
9   * consent of ACcESS.  Copying, use or modification of this software          *   *     http://www.opensource.org/licenses/osl-3.0.php       *
10   * by any unauthorised person is illegal unless that person has a software    *   *                                                          *
11   * license agreement with ACcESS.                                             *   ************************************************************
  *                                                                            *  
  ******************************************************************************  
12  */  */
13    
14  #include "escript/Data/DataException.h"  #include "DataExpanded.h"
15  #include "escript/Data/DataExpanded.h"  #include "DataException.h"
16  #include "escript/Data/DataConstant.h"  #include "DataConstant.h"
17  #include "escript/Data/DataTagged.h"  #include "DataTagged.h"
 #include "escript/Data/DataArrayView.h"  
18    
19  #include <boost/python/extract.hpp>  #include <boost/python/extract.hpp>
20    
 #include <iostream>  
   
21  using namespace std;  using namespace std;
22  using namespace boost::python;  using namespace boost::python;
23  using namespace boost;  using namespace boost;
24    
25  namespace escript {  namespace escript {
26    
27    DataExpanded::DataExpanded(const boost::python::numeric::array& value, const FunctionSpace& what) : DataAbstract(what)  DataExpanded::DataExpanded(const boost::python::numeric::array& value,
28    {                             const FunctionSpace& what)
29      //cout << "Calling DataExpanded constructor 1." << endl;    : DataAbstract(what)
30      DataArrayView::ShapeType tempShape;  {
31      //    DataArrayView::ShapeType tempShape;
32      // extract the shape from the python array    //
33      for (int i=0; i<value.getrank(); ++i) {    // extract the shape of the python numarray
34        cout << extract<int>(value.getshape()[i]) << endl;    for (int i=0; i<value.getrank(); i++) {
35        tempShape.push_back(extract<int>(value.getshape()[i]));      tempShape.push_back(extract<int>(value.getshape()[i]));
36      }    }
37      initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());    //
38      //    // initialise the data array for this object
39      // copy the given value to every data point    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());
40      copy(value);    //
41    }    // copy the given value to every data point
42      copy(value);
43    DataExpanded::DataExpanded(const DataExpanded& other) : DataAbstract(other.getFunctionSpace()), m_data(other.m_data)  }
44    {      
45      //cout << "Calling DataExpanded copy constructor." << endl;  DataExpanded::DataExpanded(const DataExpanded& other)
46      //    : DataAbstract(other.getFunctionSpace()),
47      // create the view for the data    m_data(other.m_data)
48      DataArrayView temp(m_data.getData(),other.getPointDataView().getShape());  {
49      setPointDataView(temp);    //
50    }    // create the view for the data
51      DataArrayView temp(m_data.getData(),other.getPointDataView().getShape());
52    DataExpanded::DataExpanded(const DataConstant& other) : DataAbstract(other.getFunctionSpace())    setPointDataView(temp);
53    {      }
54      //cout << "Creating DataExpanded from DataConstant." << endl;  
55      initialise(other.getPointDataView().getShape(),other.getNumSamples(), other.getNumDPPSample());  DataExpanded::DataExpanded(const DataConstant& other)
56      //    : DataAbstract(other.getFunctionSpace())
57      // DataConstant only has one value  {
58      copy(other.getPointDataView());    //
59    }    // initialise the data array for this object
60      initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());
61    DataExpanded::DataExpanded(const DataTagged& other) : DataAbstract(other.getFunctionSpace())    //
62    {        // DataConstant only has one value, copy this to every data point
63      //cout << "Creating DataExpanded from DataTagged." << endl;    copy(other.getPointDataView());
64      initialise(other.getPointDataView().getShape(),other.getNumSamples(), other.getNumDPPSample());  }
65      int i,j;  
66      DataArrayView::ValueType::size_type numRows=m_data.getNumRows();  DataExpanded::DataExpanded(const DataTagged& other)
67      DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    : DataAbstract(other.getFunctionSpace())
68  #pragma omp parallel for private(i,j) schedule(static)  {
69      for (i=0;i<numRows;++i) {    //
70        for (j=0;j<numCols;++j) {    // initialise the data array for this object
71      try {    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());
72        getPointDataView().copy(getPointOffset(i,j), other.getPointDataView(), other.getPointOffset(i,j));    //
73      }    // for each data point in this object, extract and copy the corresponding data
74      catch (std::exception& e) {    // value from the given DataTagged object
75        cout << e.what() << endl;    int i,j;
76      }    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
77      DataArrayView::ValueType::size_type numCols=m_data.getNumCols();
78      #pragma omp parallel for private(i,j) schedule(static)
79      for (i=0;i<numRows;i++) {
80        for (j=0;j<numCols;j++) {
81          try {
82            getPointDataView().copy(getPointOffset(i,j),
83                                    other.getPointDataView(),
84                                    other.getPointOffset(i,j));
85        }        }
86      }        catch (std::exception& e) {
87    }          cout << e.what() << endl;
   
   DataExpanded::DataExpanded(const DataExpanded& other, const DataArrayView::RegionType& region) : DataAbstract(other.getFunctionSpace())  
   {  
     //cout << "Creating DataExpanded by slicing from another DataExpanded." << endl;  
     //  
     // get the shape of the slice  
     DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));  
     initialise(shape,other.getNumSamples(),other.getNumDPPSample());  
     //  
     // copy the data  
     DataArrayView::ValueType::size_type numRows=m_data.getNumRows();  
     DataArrayView::ValueType::size_type numCols=m_data.getNumCols();  
     int i,j;  
 #pragma omp parallel for private(i,j) schedule(static)  
     for (i=0;i<numRows;++i) {  
       for (j=0;j<numCols;++j) {  
     try {  
       getPointDataView().copySlice(getPointOffset(i,j), other.getPointDataView(), other.getPointOffset(i,j), region);  
     }  
     catch (std::exception& e) {  
       cout << e.what() << endl;  
     }  
88        }        }
89      }      }
90    }    }
91    }
92    
93    DataExpanded::DataExpanded(const DataArrayView& value,const FunctionSpace& what): DataAbstract(what)  DataExpanded::DataExpanded(const DataExpanded& other,
94    {                             const DataArrayView::RegionType& region)
95      //cout << "Calling DataExpanded constructor 2." << endl;    : DataAbstract(other.getFunctionSpace())
96      DataArrayView::ShapeType tempShape=value.getShape();  {
97      initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());    //
98      copy(value);    // get the shape of the slice
99    }    DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));
100      //
101    DataExpanded::~DataExpanded()    // initialise this Data object to the shape of the slice
102    {    initialise(shape,other.getNumSamples(),other.getNumDPPSample());
103      //cout << "Destructing DataExpanded." << endl;    //
104    }    // copy the data
105      DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);
106    DataAbstract* DataExpanded::getSlice(const DataArrayView::RegionType& region) const    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
107    {    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();
108      return new DataExpanded(*this,region);    int i,j;
109    }    #pragma omp parallel for private(i,j) schedule(static)
110      for (i=0;i<numRows;i++) {
111    void DataExpanded::reshapeDataPoint(const DataArrayView::ShapeType& shape)      for (j=0;j<numCols;j++) {
112    {        try {
113      //          getPointDataView().copySlice(getPointOffset(i,j),
114      // reshape a rank zero data point                                       other.getPointDataView(),
115      if (getPointDataView().getRank()!=0) {                                       other.getPointOffset(i,j),
116        stringstream temp;                                       region_loop_range);
       temp << "Error - Can only reshape Data with data points of rank 0. "  
        << "This Data has data points with rank: "  
        << getPointDataView().getRank();  
       throw DataException(temp.str());  
     }  
     DataBlocks2D newData(getNumSamples(),getNumDPPSample(), DataArrayView::noValues(shape));  
     DataArrayView newView(newData.getData(),shape);  
     //  
     // Copy the original data to every value for the new shape  
     int i,j;  
     int nRows=m_data.getNumRows();  
     int nCols=m_data.getNumCols();  
     #pragma omp parallel for private(i,j) schedule(static)  
     for (i=0;i<nRows;++i) {  
       for (j=0;j<nCols;++j) {  
     //  
     // Copy the data into the specified offset  
     // NOTE: An exception may be thown from this call if  
     // DOASSERT is on which of course will play  
     // havoc with the omp threads. Run single threaded  
     // if using DOASSERT.  
     newView.copy(newData.index(i,j),m_data.getData()[m_data.index(i,j)]);  
117        }        }
118      }        catch (std::exception& e) {
119      m_data.Swap(newData);          cout << e.what() << endl;
     DataArrayView temp(m_data.getData(),shape);  
     setPointDataView(temp);  
   }  
   
   void DataExpanded::setSlice(const DataAbstract* value, const DataArrayView::RegionType& region)  
   {  
     const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value);  
     if (tempDataExp==0) {  
       throw DataException("Programming error - casting to DataExpanded.");  
     }  
     if (getPointDataView().getRank()!=region.size()) {  
       throw DataException("Error - Invalid slice region.");  
     }  
     if (!value->getPointDataView().checkShape(DataArrayView::getResultSliceShape(region))) {  
       throw DataException (value->getPointDataView().createShapeErrorMessage(  
                 "Error - Couldn't copy slice due to shape mismatch.",DataArrayView::getResultSliceShape(region)));  
     }  
     //  
     // copy the data  
     DataArrayView::ValueType::size_type numRows=m_data.getNumRows();  
     DataArrayView::ValueType::size_type numCols=m_data.getNumCols();  
     int i,j;  
 #pragma omp parallel for private(i,j) schedule(static)  
     for (i=0;i<numRows;++i) {  
       for (j=0;j<numCols;++j) {  
     getPointDataView().copySliceFrom(getPointOffset(i,j), tempDataExp->getPointDataView(), tempDataExp->getPointOffset(i,j), region);  
120        }        }
121      }      }
122    }    }
123    }
124    
125    void DataExpanded::copy(const DataArrayView& value)  DataExpanded::DataExpanded(const DataArrayView& value,
126    {                             const FunctionSpace& what)
127      //    : DataAbstract(what)
128      // Copy a single value to every data point  {
129      int i,j;    //
130      int nRows=m_data.getNumRows();    // get the shape of the given data value
131      int nCols=m_data.getNumCols();    DataArrayView::ShapeType tempShape=value.getShape();
132      #pragma omp parallel for private(i,j) schedule(static)    //
133      for (i=0;i<nRows;++i) {    // initialise this Data object to the shape of the given data value
134        for (j=0;j<nCols;++j) {    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());
135      //    //
136      // Copy the data into the specified offset    // copy the given value to every data point
137      // NOTE: An exception may be thown from this call if    copy(value);
138      // DOASSERT is on which of course will play  }
139      // havoc with the omp threads. Run single threaded  
140      // if using DOASSERT.  DataExpanded::DataExpanded(const FunctionSpace& what,
141      getPointDataView().copy(m_data.index(i,j),value);                             const DataArrayView::ShapeType &shape,
142                               const DataArrayView::ValueType &data)
143      : DataAbstract(what)
144    {
145      //
146      // create the view of the data
147      initialise(shape,what.getNumSamples(),what.getNumDPPSample());
148      //
149      // copy the data in the correct format
150      m_data.getData()=data;
151    }
152    
153    DataExpanded::~DataExpanded()
154    {
155    }
156    
157    DataAbstract*
158    DataExpanded::getSlice(const DataArrayView::RegionType& region) const
159    {
160      return new DataExpanded(*this,region);
161    }
162    
163    void
164    DataExpanded::setSlice(const DataAbstract* value,
165                           const DataArrayView::RegionType& region)
166    {
167      const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value);
168      if (tempDataExp==0) {
169        throw DataException("Programming error - casting to DataExpanded.");
170      }
171      //
172      // get shape of slice
173      DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));
174      DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);
175      //
176      // check shape
177      if (getPointDataView().getRank()!=region.size()) {
178        throw DataException("Error - Invalid slice region.");
179      }
180      if (tempDataExp->getPointDataView().getRank()>0 && !value->getPointDataView().checkShape(shape)) {
181        throw DataException (value->getPointDataView().createShapeErrorMessage(
182            "Error - Couldn't copy slice due to shape mismatch.",shape));
183      }
184      //
185      // copy the data from the slice into this object
186      DataArrayView::ValueType::size_type numRows=m_data.getNumRows();
187      DataArrayView::ValueType::size_type numCols=m_data.getNumCols();
188      int i, j;
189      #pragma omp parallel for private(i,j) schedule(static)
190      for (i=0;i<numRows;i++) {
191        for (j=0;j<numCols;j++) {
192          getPointDataView().copySliceFrom(getPointOffset(i,j),
193                                           tempDataExp->getPointDataView(),
194                                           tempDataExp->getPointOffset(i,j),
195                                           region_loop_range);
196        }
197      }
198    }
199    
200    void
201    DataExpanded::copy(const DataArrayView& value)
202    {
203      //
204      // copy a single value to every data point in this object
205      int nRows=m_data.getNumRows();
206      int nCols=m_data.getNumCols();
207      int i,j;
208      #pragma omp parallel for private(i,j) schedule(static)
209      for (i=0;i<nRows;i++) {
210        for (j=0;j<nCols;j++) {
211          // NOTE: An exception may be thown from this call if
212          // DOASSERT is on which of course will play
213          // havoc with the omp threads. Run single threaded
214          // if using DOASSERT.
215          getPointDataView().copy(m_data.index(i,j),value);
216        }
217      }
218    }
219    
220    void
221    DataExpanded::copy(const boost::python::numeric::array& value)
222    {
223      //
224      // first convert the numarray into a DataArray object
225      DataArray temp(value);
226      //
227      // check the input shape matches this shape
228      if (!getPointDataView().checkShape(temp.getView().getShape())) {
229        throw DataException(getPointDataView().createShapeErrorMessage(
230                            "Error - (DataExpanded) Cannot copy due to shape mismatch.",
231                            temp.getView().getShape()));
232      }
233      //
234      // now copy over the data
235      copy(temp.getView());
236    }
237    
238    void
239    DataExpanded::initialise(const DataArrayView::ShapeType& shape,
240                             int noSamples,
241                             int noDataPointsPerSample)
242    {
243      //
244      // resize data array to the required size
245      m_data.resize(noSamples,noDataPointsPerSample,DataArrayView::noValues(shape));
246      //
247      // create the data view of the data array
248      DataArrayView temp(m_data.getData(),shape);
249      setPointDataView(temp);
250    }
251    
252    string
253    DataExpanded::toString() const
254    {
255      stringstream temp;
256      FunctionSpace fs=getFunctionSpace();
257      //
258      // create a temporary view as the offset will be changed
259      DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset());
260      for (int i=0;i<m_data.getNumRows();i++) {
261        for (int j=0;j<m_data.getNumCols();j++) {
262          tempView.setOffset(m_data.index(i,j));
263          stringstream suffix;
264          suffix << "( id: " << i << ", ref: " << fs.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::copyToDataPoint(const int sampleNo, const int dataPointNo, 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)
387           throw DataException("Rank of numarray does not match Data object rank");
388      if (numSamples*numDataPointsPerSample > 0) {
389         //TODO: global error handling
390         if (sampleNo >= numSamples or sampleNo < 0 ) {
391              throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
392         }
393         if (dataPointNo >= numDataPointsPerSample or dataPointNo < 0) {
394               throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
395         }
396         DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
397         if (dataPointRank==0) {
398             dataPointView()=extract<double>(value[0]);
399         } else if (dataPointRank==1) {
400            for (int i=0; i<dataPointShape[0]; i++) {
401                dataPointView(i)=extract<double>(value[i]);
402            }
403         } else if (dataPointRank==2) {
404            for (int i=0; i<dataPointShape[0]; i++) {
405               for (int j=0; j<dataPointShape[1]; j++) {
406                  dataPointView(i,j)=extract<double>(value[i][j]);
407               }
408            }
409         } else if (dataPointRank==3) {
410            for (int i=0; i<dataPointShape[0]; i++) {
411               for (int j=0; j<dataPointShape[1]; j++) {
412                  for (int k=0; k<dataPointShape[2]; k++) {
413                     dataPointView(i,j,k)=extract<double>(value[i][j][k]);
414                  }
415               }
416            }
417         } else if (dataPointRank==4) {
418             for (int i=0; i<dataPointShape[0]; i++) {
419               for (int j=0; j<dataPointShape[1]; j++) {
420                 for (int k=0; k<dataPointShape[2]; k++) {
421                   for (int l=0; l<dataPointShape[3]; l++) {
422                      dataPointView(i,j,k,l)=extract<double>(value[i][j][k][l]);
423                   }
424                 }
425               }
426             }
427         }
428      }
429    }
430    void
431    DataExpanded::copyAll(const boost::python::numeric::array& value) {
432      //
433      // Get the number of samples and data-points per sample.
434      int numSamples = getNumSamples();
435      int numDataPointsPerSample = getNumDPPSample();
436      int dataPointRank = getPointDataView().getRank();
437      ShapeType dataPointShape = getPointDataView().getShape();
438      //
439      // check rank:
440      if (value.getrank()!=dataPointRank+1)
441           throw DataException("Rank of numarray does not match Data object rank");
442      if (value.getshape()[0]!=numSamples*numDataPointsPerSample)
443           throw DataException("leading dimension of numarray is too small");
444      //
445      int dataPoint = 0;
446      for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) {
447        for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
448          DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo);
449          if (dataPointRank==0) {
450             dataPointView()=extract<double>(value[dataPoint]);
451          } else if (dataPointRank==1) {
452             for (int i=0; i<dataPointShape[0]; i++) {
453                dataPointView(i)=extract<double>(value[dataPoint][i]);
454             }
455          } else if (dataPointRank==2) {
456             for (int i=0; i<dataPointShape[0]; i++) {
457               for (int j=0; j<dataPointShape[1]; j++) {
458                 dataPointView(i,j)=extract<double>(value[dataPoint][i][j]);
459               }
460             }
461           } else if (dataPointRank==3) {
462             for (int i=0; i<dataPointShape[0]; i++) {
463               for (int j=0; j<dataPointShape[1]; j++) {
464                 for (int k=0; k<dataPointShape[2]; k++) {
465                     dataPointView(i,j,k)=extract<double>(value[dataPoint][i][j][k]);
466                 }
467               }
468             }
469           } else if (dataPointRank==4) {
470             for (int i=0; i<dataPointShape[0]; i++) {
471               for (int j=0; j<dataPointShape[1]; j++) {
472                 for (int k=0; k<dataPointShape[2]; k++) {
473                   for (int l=0; l<dataPointShape[3]; l++) {
474                     dataPointView(i,j,k,l)=extract<double>(value[dataPoint][i][j][k][l]);
475                   }
476                 }
477               }
478             }
479        }        }
480          dataPoint++;
481      }      }
     return temp.str();  
482    }    }
483    }
484    DataArrayView::ValueType::size_type DataExpanded::getPointOffset(int sampleNo, int dataPointNo) const  void
485    {  DataExpanded::symmetric(DataAbstract* ev)
486      return m_data.index(sampleNo,dataPointNo);  {
487    }    int sampleNo,dataPointNo;
488      int numSamples = getNumSamples();
489    DataArrayView DataExpanded::getDataPoint(int sampleNo, int dataPointNo)    int numDataPointsPerSample = getNumDPPSample();
490    {    DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
491      DataArrayView temp(m_data.getData(), getPointDataView().getShape(), m_data.index(sampleNo,dataPointNo));    if (temp_ev==0) {
492      return temp;      throw DataException("Error - DataExpanded::symmetric: casting to DataExpanded failed (propably a programming error).");
493    }    }
494      DataArrayView& thisView=getPointDataView();
495    DataArrayView::ValueType::size_type DataExpanded::getLength() const    DataArrayView& evView=ev->getPointDataView();
496    {    #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
497      return m_data.getData().size();    for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
498        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
499             DataArrayView::symmetric(thisView,getPointOffset(sampleNo,dataPointNo),
500                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
501        }
502      }
503    }
504    void
505    DataExpanded::nonsymmetric(DataAbstract* ev)
506    {
507      int sampleNo,dataPointNo;
508      int numSamples = getNumSamples();
509      int numDataPointsPerSample = getNumDPPSample();
510      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
511      if (temp_ev==0) {
512        throw DataException("Error - DataExpanded::nonsymmetric: casting to DataExpanded failed (propably a programming error).");
513      }
514      DataArrayView& thisView=getPointDataView();
515      DataArrayView& evView=ev->getPointDataView();
516      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
517      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
518        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
519             DataArrayView::nonsymmetric(thisView,getPointOffset(sampleNo,dataPointNo),
520                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
521        }
522      }
523    }
524    void
525    DataExpanded::trace(DataAbstract* ev, int axis_offset)
526    {
527      int sampleNo,dataPointNo;
528      int numSamples = getNumSamples();
529      int numDataPointsPerSample = getNumDPPSample();
530      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
531      if (temp_ev==0) {
532        throw DataException("Error - DataExpanded::trace: casting to DataExpanded failed (propably a programming error).");
533      }
534      DataArrayView& thisView=getPointDataView();
535      DataArrayView& evView=ev->getPointDataView();
536      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
537      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
538        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
539             DataArrayView::trace(thisView,getPointOffset(sampleNo,dataPointNo),
540                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
541        }
542      }
543    }
544    
545    void
546    DataExpanded::transpose(DataAbstract* ev, int axis_offset)
547    {
548      int sampleNo,dataPointNo;
549      int numSamples = getNumSamples();
550      int numDataPointsPerSample = getNumDPPSample();
551      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
552      if (temp_ev==0) {
553        throw DataException("Error - DataExpanded::transpose: casting to DataExpanded failed (propably a programming error).");
554      }
555      DataArrayView& thisView=getPointDataView();
556      DataArrayView& evView=ev->getPointDataView();
557      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
558      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
559        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
560             DataArrayView::transpose(thisView,getPointOffset(sampleNo,dataPointNo),
561                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
562        }
563      }
564    }
565    
566    void
567    DataExpanded::swapaxes(DataAbstract* ev, int axis0, int axis1)
568    {
569      int sampleNo,dataPointNo;
570      int numSamples = getNumSamples();
571      int numDataPointsPerSample = getNumDPPSample();
572      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
573      if (temp_ev==0) {
574        throw DataException("Error - DataExpanded::swapaxes: casting to DataExpanded failed (propably a programming error).");
575      }
576      DataArrayView& thisView=getPointDataView();
577      DataArrayView& evView=ev->getPointDataView();
578      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
579      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
580        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
581             DataArrayView::swapaxes(thisView,getPointOffset(sampleNo,dataPointNo),
582                                        evView,ev->getPointOffset(sampleNo,dataPointNo),axis0,axis1);
583        }
584      }
585    }
586    void
587    DataExpanded::eigenvalues(DataAbstract* ev)
588    {
589      int sampleNo,dataPointNo;
590      int numSamples = getNumSamples();
591      int numDataPointsPerSample = getNumDPPSample();
592      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
593      if (temp_ev==0) {
594        throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error).");
595      }
596      DataArrayView& thisView=getPointDataView();
597      DataArrayView& evView=ev->getPointDataView();
598      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
599      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
600        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
601             DataArrayView::eigenvalues(thisView,getPointOffset(sampleNo,dataPointNo),
602                                        evView,ev->getPointOffset(sampleNo,dataPointNo));
603        }
604      }
605    }
606    void
607    DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol)
608    {
609      int numSamples = getNumSamples();
610      int numDataPointsPerSample = getNumDPPSample();
611      int sampleNo,dataPointNo;
612      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
613      if (temp_ev==0) {
614        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
615      }
616      DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V);
617      if (temp_V==0) {
618        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
619      }
620      DataArrayView& thisView=getPointDataView();
621      DataArrayView& evView=ev->getPointDataView();
622      DataArrayView& VView=V->getPointDataView();
623      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
624      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
625        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
626             DataArrayView::eigenvalues_and_eigenvectors(thisView,getPointOffset(sampleNo,dataPointNo),
627                                                         evView,ev->getPointOffset(sampleNo,dataPointNo),
628                                                         VView,V->getPointOffset(sampleNo,dataPointNo),
629                                                         tol);
630        }
631    }    }
632    }
633    
634  }  // end of namespace  }  // end of namespace

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