/[escript]/trunk/escript/src/DataExpanded.cpp
ViewVC logotype

Diff of /trunk/escript/src/DataExpanded.cpp

Parent Directory Parent Directory | Revision Log Revision Log | View Patch Patch

trunk/esys2/escript/src/Data/DataExpanded.cpp revision 113 by jgs, Mon Feb 28 07:06:33 2005 UTC trunk/escript/src/DataExpanded.cpp revision 3552 by jfenwick, Mon Aug 22 00:05:17 2011 UTC
# Line 1  Line 1 
1  // $Id$  
2  /*  /*******************************************************
3   ******************************************************************************  *
4   *                                                                            *  * Copyright (c) 2003-2010 by University of Queensland
5   *       COPYRIGHT  ACcESS 2004 -  All Rights Reserved                        *  * Earth Systems Science Computational Center (ESSCC)
6   *                                                                            *  * http://www.uq.edu.au/esscc
7   * This software is the property of ACcESS. No part of this code              *  *
8   * may be copied in any form or by any means without the expressed written    *  * Primary Business: Queensland, Australia
9   * consent of ACcESS.  Copying, use or modification of this software          *  * Licensed under the Open Software License version 3.0
10   * by any unauthorised person is illegal unless that person has a software    *  * http://www.opensource.org/licenses/osl-3.0.php
11   * license agreement with ACcESS.                                             *  *
12   *                                                                            *  *******************************************************/
13   ******************************************************************************  
14  */  
15    #include "Data.h"
16  #include "escript/Data/DataException.h"  #include "DataExpanded.h"
17  #include "escript/Data/DataExpanded.h"  #include "DataException.h"
18  #include "escript/Data/DataConstant.h"  #include "DataConstant.h"
19  #include "escript/Data/DataTagged.h"  #include "DataTagged.h"
20  #include "escript/Data/DataArrayView.h"  #include <limits>
21    
22    #include "esysUtils/Esys_MPI.h"
23    
24    #ifdef USE_NETCDF
25    #include <netcdfcpp.h>
26    #endif
27    
28  #include <boost/python/extract.hpp>  #include <boost/python/extract.hpp>
29    #include "DataMaths.h"
30    
31    //#define MKLRANDOM
32    
33  #include <iostream>  #ifdef MKLRANDOM
34    #include <mkl_vsl.h>
35    #else
36    #include <boost/random/mersenne_twister.hpp>
37    #endif
38    
39  using namespace std;  using namespace std;
40  using namespace boost::python;  using namespace boost::python;
41  using namespace boost;  using namespace boost;
42    using namespace escript::DataTypes;
43    
44    
45    // #define CHECK_FOR_EX_WRITE if (!checkNoSharing()) {throw DataException("Attempt to modify shared object");}
46    
47    #define CHECK_FOR_EX_WRITE if (!checkNoSharing()) {std::ostringstream ss; ss << " Attempt to modify shared object. line " << __LINE__ << " of " << __FILE__; *((int*)0)=17;throw DataException(ss.str());}
48    
49  namespace escript {  namespace escript {
50    
51  DataExpanded::DataExpanded(const boost::python::numeric::array& value,  DataExpanded::DataExpanded(const WrappedArray& value,
52                             const FunctionSpace& what)                             const FunctionSpace& what)
53    : DataAbstract(what)    : parent(what,value.getShape())
54  {  {
   DataArrayView::ShapeType tempShape;  
55    //    //
56    // extract the shape from the python array    // initialise the data array for this object
57    for (int i=0; i<value.getrank(); ++i) {    initialise(what.getNumSamples(),what.getNumDPPSample());
     //cout << extract<int>(value.getshape()[i]) << endl;  
     tempShape.push_back(extract<int>(value.getshape()[i]));  
   }  
   initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());  
58    //    //
59    // copy the given value to every data point    // copy the given value to every data point
60    copy(value);    copy(value);
61  }  }
62    
63  DataExpanded::DataExpanded(const DataExpanded& other)  DataExpanded::DataExpanded(const DataExpanded& other)
64    : DataAbstract(other.getFunctionSpace()),    : parent(other.getFunctionSpace(), other.getShape()),
65    m_data(other.m_data)    m_data(other.m_data)
66  {      {
   //  
   // create the view for the data  
   DataArrayView temp(m_data.getData(),other.getPointDataView().getShape());  
   setPointDataView(temp);  
67  }  }
68    
69  DataExpanded::DataExpanded(const DataConstant& other)  DataExpanded::DataExpanded(const DataConstant& other)
70    : DataAbstract(other.getFunctionSpace())    : parent(other.getFunctionSpace(), other.getShape())
71  {      {
   initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());  
72    //    //
73    // DataConstant only has one value    // initialise the data array for this object
74    copy(other.getPointDataView());    initialise(other.getNumSamples(),other.getNumDPPSample());
75      //
76      // DataConstant only has one value, copy this to every data point
77      copy(other);
78  }  }
79    
80  DataExpanded::DataExpanded(const DataTagged& other)  DataExpanded::DataExpanded(const DataTagged& other)
81    : DataAbstract(other.getFunctionSpace())    : parent(other.getFunctionSpace(), other.getShape())
82  {      {
83    initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample());    //
84      // initialise the data array for this object
85      initialise(other.getNumSamples(),other.getNumDPPSample());
86      //
87      // for each data point in this object, extract and copy the corresponding data
88      // value from the given DataTagged object
89    int i,j;    int i,j;
90    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataTypes::ValueType::size_type numRows=m_data.getNumRows();
91    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataTypes::ValueType::size_type numCols=m_data.getNumCols();
92  #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
93    for (i=0;i<numRows;++i) {    for (i=0;i<numRows;i++) {
94      for (j=0;j<numCols;++j) {      for (j=0;j<numCols;j++) {
95        try {        try {
96          getPointDataView().copy(getPointOffset(i,j), other.getPointDataView(), other.getPointOffset(i,j));             DataTypes::copyPoint(getVectorRW(), getPointOffset(i,j), getNoValues(),
97                                    other.getVectorRO(),
98                                    other.getPointOffset(i,j));
99        }        }
100        catch (std::exception& e) {        catch (std::exception& e) {
101          cout << e.what() << endl;          cout << e.what() << endl;
# Line 86  DataExpanded::DataExpanded(const DataTag Line 105  DataExpanded::DataExpanded(const DataTag
105  }  }
106    
107  DataExpanded::DataExpanded(const DataExpanded& other,  DataExpanded::DataExpanded(const DataExpanded& other,
108                             const DataArrayView::RegionType& region)                             const DataTypes::RegionType& region)
109    : DataAbstract(other.getFunctionSpace())    : parent(other.getFunctionSpace(),DataTypes::getResultSliceShape(region))
110  {  {
111    //    //
112    // get the shape of the slice    // get the shape of the slice
113    DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));  //   DataTypes::ShapeType shape(DataTypes::getResultSliceShape(region));
114    //    //
115    // initialise this Data object to the shape of the slice    // initialise this Data object to the shape of the slice
116    initialise(shape,other.getNumSamples(),other.getNumDPPSample());    initialise(other.getNumSamples(),other.getNumDPPSample());
   //  
   DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);  
117    //    //
118    // copy the data    // copy the data
119    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataTypes::RegionLoopRangeType region_loop_range=DataTypes::getSliceRegionLoopRange(region);
120    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataTypes::ValueType::size_type numRows=m_data.getNumRows();
121      DataTypes::ValueType::size_type numCols=m_data.getNumCols();
122    int i,j;    int i,j;
123  #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
124    for (i=0;i<numRows;++i) {    for (i=0;i<numRows;i++) {
125      for (j=0;j<numCols;++j) {      for (j=0;j<numCols;j++) {
126        try {        try {
127          getPointDataView().copySlice(getPointOffset(i,j),other.getPointDataView(),other.getPointOffset(i,j),region_loop_range);          DataTypes::copySlice(getVectorRW(),getShape(),getPointOffset(i,j),
128                                         other.getVectorRO(),
129                         other.getShape(),
130                                         other.getPointOffset(i,j),
131                                         region_loop_range);
132        }        }
133        catch (std::exception& e) {        catch (std::exception& e) {
134          cout << e.what() << endl;          cout << e.what() << endl;
# Line 115  DataExpanded::DataExpanded(const DataExp Line 137  DataExpanded::DataExpanded(const DataExp
137    }    }
138  }  }
139    
140  DataExpanded::DataExpanded(const DataArrayView& value,  DataExpanded::DataExpanded(const FunctionSpace& what,
141                             const FunctionSpace& what)                             const DataTypes::ShapeType &shape,
142    : DataAbstract(what)                             const DataTypes::ValueType &data)
143  {    : parent(what,shape)
144    DataArrayView::ShapeType tempShape=value.getShape();  {
145    initialise(tempShape,what.getNumSamples(),what.getNumDPPSample());    EsysAssert(data.size()%getNoValues()==0,
146    copy(value);                   "DataExpanded Constructor - size of supplied data is not a multiple of shape size.");
147    
148      if (data.size()==getNoValues())
149      {
150         ValueType& vec=m_data.getData();
151         //
152         // create the view of the data
153         initialise(what.getNumSamples(),what.getNumDPPSample());
154         // now we copy this value to all elements
155         for (int i=0;i<getLength();)
156         {
157        for (unsigned int j=0;j<getNoValues();++j,++i)
158        {
159            vec[i]=data[j];
160        }
161         }
162      }
163      else
164      {
165         //
166         // copy the data in the correct format
167         m_data.getData()=data;
168      }
169    
170    
171    }
172    
173    DataExpanded::DataExpanded(const FunctionSpace& what,
174                               const DataTypes::ShapeType &shape,
175                               const double v)
176      : parent(what,shape)
177    {
178         ValueType& vec=m_data.getData();
179         //
180         // create the view of the data
181         initialise(what.getNumSamples(),what.getNumDPPSample());
182         // now we copy this value to all elements
183         const int L=getLength();
184         int i;
185         #pragma omp parallel for schedule(static) private(i)
186         for (i=0;i<L;++i)
187         {
188            vec[i]=v;
189         }
190  }  }
191    
192    
193    
194  DataExpanded::~DataExpanded()  DataExpanded::~DataExpanded()
195  {  {
196  }  }
197    
198  void  DataAbstract*
199  DataExpanded::reshapeDataPoint(const DataArrayView::ShapeType& shape)  DataExpanded::deepCopy()
200  {  {
201    //    return new DataExpanded(*this);
   // reshape a rank zero data point  
   if (getPointDataView().getRank()!=0) {  
     stringstream temp;  
     temp << "Error - Can only reshape Data with data points of rank 0. "  
          << "This Data has data points with rank: "  
          << getPointDataView().getRank();  
     throw DataException(temp.str());  
   }  
   DataBlocks2D newData(getNumSamples(),getNumDPPSample(), DataArrayView::noValues(shape));  
   DataArrayView newView(newData.getData(),shape);  
   //  
   // Copy the original data to every value for the new shape  
   int i,j;  
   int nRows=m_data.getNumRows();  
   int nCols=m_data.getNumCols();  
 #pragma omp parallel for private(i,j) schedule(static)  
   for (i=0;i<nRows;++i) {  
     for (j=0;j<nCols;++j) {  
       //  
       // Copy the data into the specified offset  
       // NOTE: An exception may be thown from this call if  
       // DOASSERT is on which of course will play  
       // havoc with the omp threads. Run single threaded  
       // if using DOASSERT.  
       newView.copy(newData.index(i,j),m_data.getData()[m_data.index(i,j)]);  
     }  
   }  
   m_data.Swap(newData);  
   DataArrayView temp(m_data.getData(),shape);  
   setPointDataView(temp);  
202  }  }
203    
204    
205  DataAbstract*  DataAbstract*
206  DataExpanded::getSlice(const DataArrayView::RegionType& region) const  DataExpanded::getSlice(const DataTypes::RegionType& region) const
207  {  {
208    return new DataExpanded(*this,region);    return new DataExpanded(*this,region);
209  }  }
210    
211  void  void
212  DataExpanded::setSlice(const DataAbstract* value,  DataExpanded::setSlice(const DataAbstract* value,
213                         const DataArrayView::RegionType& region)                         const DataTypes::RegionType& region)
214  {  {
215    const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value);    const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value);
216    if (tempDataExp==0) {    if (tempDataExp==0) {
217      throw DataException("Programming error - casting to DataExpanded.");      throw DataException("Programming error - casting to DataExpanded.");
218    }    }
219      CHECK_FOR_EX_WRITE
220    //    //
221    DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region));    // get shape of slice
222    DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region);    DataTypes::ShapeType shape(DataTypes::getResultSliceShape(region));
223      DataTypes::RegionLoopRangeType region_loop_range=DataTypes::getSliceRegionLoopRange(region);
224    //    //
225    // check shape:    // check shape
226    if (getPointDataView().getRank()!=region.size()) {    if (getRank()!=region.size()) {
227      throw DataException("Error - Invalid slice region.");      throw DataException("Error - Invalid slice region.");
228    }    }
229    if (tempDataExp->getPointDataView().getRank()>0 and !value->getPointDataView().checkShape(shape)) {    if (tempDataExp->getRank()>0 && !DataTypes::checkShape(value->getShape(), shape)) {
230      throw DataException (value->getPointDataView().createShapeErrorMessage(      throw DataException (DataTypes::createShapeErrorMessage(
231          "Error - Couldn't copy slice due to shape mismatch.",shape));          "Error - Couldn't copy slice due to shape mismatch.",shape, value->getShape()));
232    }    }
233    //    //
234    // copy the data    // copy the data from the slice into this object
235    DataArrayView::ValueType::size_type numRows=m_data.getNumRows();    DataTypes::ValueType::size_type numRows=m_data.getNumRows();
236    DataArrayView::ValueType::size_type numCols=m_data.getNumCols();    DataTypes::ValueType::size_type numCols=m_data.getNumCols();
237    int i, j;    int i, j;
238  #pragma omp parallel for private(i,j) schedule(static)    ValueType& vec=getVectorRW();
239      const ShapeType& mshape=getShape();
240      const ValueType& tVec=tempDataExp->getVectorRO();
241      const ShapeType& tShape=tempDataExp->getShape();
242      #pragma omp parallel for private(i,j) schedule(static)
243    for (i=0;i<numRows;i++) {    for (i=0;i<numRows;i++) {
244      for (j=0;j<numCols;j++) {      for (j=0;j<numCols;j++) {
245        getPointDataView().copySliceFrom(getPointOffset(i,j),tempDataExp->getPointDataView(),tempDataExp->getPointOffset(i,j),region_loop_range);          DataTypes::copySliceFrom(vec,mshape,getPointOffset(i,j),
246                                           tVec,
247                           tShape,
248                                           tempDataExp->getPointOffset(i,j),
249                                           region_loop_range);
250    
251      }      }
252    }    }
253  }  }
254    
255  void  void
256  DataExpanded::copy(const DataArrayView& value)  DataExpanded::copy(const DataConstant& value)
257  {  {
258      EsysAssert((checkShape(getShape(), value.getShape())),
259                     createShapeErrorMessage("Error - Couldn't copy due to shape mismatch.",value.getShape(),getShape()));
260    
261    //    //
262    // Copy a single value to every data point    // copy a single value to every data point in this object
263    int nRows=m_data.getNumRows();    int nRows=m_data.getNumRows();
264    int nCols=m_data.getNumCols();    int nCols=m_data.getNumCols();
265    int i, j;    int i,j;
266  #pragma omp parallel for private(i,j) schedule(static)    #pragma omp parallel for private(i,j) schedule(static)
267    for (i=0;i<nRows;++i) {    for (i=0;i<nRows;i++) {
268      for (j=0;j<nCols;++j) {      for (j=0;j<nCols;j++) {
269        //        DataTypes::copyPoint(getVectorRW(), getPointOffset(i,j), getNoValues(), value.getVectorRO(), 0);
       // 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.  
       getPointDataView().copy(m_data.index(i,j),value);  
270      }      }
271    }    }
272  }  }
273    
274  void  void
275  DataExpanded::copy(const boost::python::numeric::array& value)  DataExpanded::copy(const WrappedArray& value)
276  {  {
277    //    // check the input shape matches this shape
278    // first convert the numarray into a DataArrayView format    if (!DataTypes::checkShape(getShape(),value.getShape())) {
279    DataArray temp(value);      throw DataException(DataTypes::createShapeErrorMessage(
   //  
   // check the input shape matches this shape, this will throw an exception  
   if (!getPointDataView().checkShape(temp.getView().getShape())) {  
     throw DataException(getPointDataView().createShapeErrorMessage(  
280                          "Error - (DataExpanded) Cannot copy due to shape mismatch.",                          "Error - (DataExpanded) Cannot copy due to shape mismatch.",
281                          temp.getView().getShape()));                          value.getShape(),getShape()));
282    }    }
283    //    getVectorRW().copyFromArray(value, getNumDPPSample()*getNumSamples());
   // now copy over the entire data structure  
   copy(temp.getView());  
284  }  }
285    
286    
287  void  void
288  DataExpanded::initialise(const DataArrayView::ShapeType& shape,  DataExpanded::initialise(int noSamples,
                          int noSamples,  
289                           int noDataPointsPerSample)                           int noDataPointsPerSample)
290  {  {
291    //    if (noSamples==0)     //retain the default empty object
292    // resize data to the required size    {
293    m_data.resize(noSamples,noDataPointsPerSample,DataArrayView::noValues(shape));       return;
294    //    }
295    // create a point data viewer of the data    //
296    DataArrayView temp(m_data.getData(),shape);    // resize data array to the required size
297    setPointDataView(temp);    m_data.resize(noSamples,noDataPointsPerSample,getNoValues());
298    }
299    
300    bool
301    DataExpanded::hasNaN() const
302    {
303        const ValueType& v=m_data.getData();
304        for (ValueType::size_type i=0;i<v.size();++i)
305        {
306            if (nancheck(v[i]))
307            {
308                return true;
309            }
310        }
311        return false;
312  }  }
313    
314    
315  string  string
316  DataExpanded::toString() const  DataExpanded::toString() const
317  {  {
318    stringstream temp;    stringstream temp;
319    //    FunctionSpace fs=getFunctionSpace();
320    // create a temporary view as the offset will be changed  
321    DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset());    int offset=0;
322    for (int i=0;i<m_data.getNumRows();++i) {    for (int i=0;i<m_data.getNumRows();i++) {
323      for (int j=0;j<m_data.getNumCols();++j) {      for (int j=0;j<m_data.getNumCols();j++) {
324        tempView.setOffset(m_data.index(i,j));        offset=getPointOffset(i,j);
325        stringstream suffix;        stringstream suffix;
326        suffix << "(" << i << "," << j << ")";        suffix << "( id: " << i << ", ref: " << fs.getReferenceIDOfSample(i) << ", pnt: " << j << ")";
327        temp << tempView.toString(suffix.str());        temp << DataTypes::pointToString(getVectorRO(),getShape(),offset,suffix.str());
328        if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {        if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) {
329          temp << endl;          temp << endl;
330        }        }
331      }      }
332    }    }
333      string result=temp.str();
334      if (result.empty())
335      {
336        return "(data contains no samples)\n";
337      }
338    return temp.str();    return temp.str();
339  }  }
340    
341  DataArrayView::ValueType::size_type  DataTypes::ValueType::size_type
342  DataExpanded::getPointOffset(int sampleNo,  DataExpanded::getPointOffset(int sampleNo,
343                               int dataPointNo) const                               int dataPointNo) const
344  {  {
345    return m_data.index(sampleNo,dataPointNo);    return m_data.index(sampleNo,dataPointNo);
346  }  }
347    
348  DataArrayView  DataTypes::ValueType::size_type
349  DataExpanded::getDataPoint(int sampleNo,  DataExpanded::getPointOffset(int sampleNo,
350                             int dataPointNo)                               int dataPointNo)
351  {  {
352    DataArrayView temp(m_data.getData(),getPointDataView().getShape(),m_data.index(sampleNo,dataPointNo));    return m_data.index(sampleNo,dataPointNo);
   return temp;  
353  }  }
354    
355  DataArrayView::ValueType::size_type  DataTypes::ValueType::size_type
356  DataExpanded::getLength() const  DataExpanded::getLength() const
357  {  {
358    return m_data.getData().size();    return m_data.size();
359  }  }
360    
361    
362    
363  void  void
364  DataExpanded::setRefValue(int ref,  DataExpanded::copyToDataPoint(const int sampleNo, const int dataPointNo, const double value) {
365                            const DataArray& value)    CHECK_FOR_EX_WRITE
 {  
366    //    //
367    // Get the number of samples and data-points per sample.    // Get the number of samples and data-points per sample.
368    int numSamples = getNumSamples();    int numSamples = getNumSamples();
369    int numDPPSample = getNumDPPSample();    int numDataPointsPerSample = getNumDPPSample();
370      int dataPointRank = getRank();
371      ShapeType dataPointShape = getShape();
372      if (numSamples*numDataPointsPerSample > 0) {
373         //TODO: global error handling
374         if ((sampleNo >= numSamples) || (sampleNo < 0 )) {
375              throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
376         }
377         if ((dataPointNo >= numDataPointsPerSample) || (dataPointNo < 0)) {
378               throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
379         }
380         ValueType::size_type offset = getPointOffset(sampleNo, dataPointNo);
381         ValueType& vec=getVectorRW();
382         if (dataPointRank==0) {
383             vec[offset]=value;
384         } else if (dataPointRank==1) {
385            for (int i=0; i<dataPointShape[0]; i++) {
386                vec[offset+i]=value;
387            }
388         } else if (dataPointRank==2) {
389            for (int i=0; i<dataPointShape[0]; i++) {
390               for (int j=0; j<dataPointShape[1]; j++) {
391                  vec[offset+getRelIndex(dataPointShape,i,j)]=value;
392               }
393            }
394         } else if (dataPointRank==3) {
395            for (int i=0; i<dataPointShape[0]; i++) {
396               for (int j=0; j<dataPointShape[1]; j++) {
397                  for (int k=0; k<dataPointShape[2]; k++) {
398                     vec[offset+getRelIndex(dataPointShape,i,j,k)]=value;
399                  }
400               }
401            }
402         } else if (dataPointRank==4) {
403             for (int i=0; i<dataPointShape[0]; i++) {
404               for (int j=0; j<dataPointShape[1]; j++) {
405                 for (int k=0; k<dataPointShape[2]; k++) {
406                   for (int l=0; l<dataPointShape[3]; l++) {
407                      vec[offset+getRelIndex(dataPointShape,i,j,k,l)]=value;
408                   }
409                 }
410               }
411             }
412         }
413      }
414    }
415    
416    void
417    DataExpanded::copyToDataPoint(const int sampleNo, const int dataPointNo, const WrappedArray& value) {
418      CHECK_FOR_EX_WRITE
419      //
420      // Get the number of samples and data-points per sample.
421      int numSamples = getNumSamples();
422      int numDataPointsPerSample = getNumDPPSample();
423    //    //
424    // Determine the sample number which corresponds to this reference number.    // check rank:
425    int sampleNo = -1;    if (value.getRank()!=getRank())
426    int tempRef = -1;         throw DataException("Rank of value does not match Data object rank");
427    for (int n=0; n<numSamples; n++) {    if (numSamples*numDataPointsPerSample > 0) {
428      tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);       //TODO: global error handling
429      if (tempRef == ref) {       if ((sampleNo >= numSamples) || (sampleNo < 0 )) {
430        sampleNo = n;            throw DataException("Error - DataExpanded::copyDataPoint invalid sampleNo.");
431        break;       }
432         if ((dataPointNo >= numDataPointsPerSample) || (dataPointNo < 0)) {
433               throw DataException("Error - DataExpanded::copyDataPoint invalid dataPointNoInSample.");
434         }
435         ValueType::size_type offset = getPointOffset(sampleNo, dataPointNo);
436         ValueType& vec=getVectorRW();
437         vec.copyFromArrayToOffset(value,offset,1);
438      }
439    }
440    
441    void
442    DataExpanded::symmetric(DataAbstract* ev)
443    {
444      int sampleNo,dataPointNo;
445      int numSamples = getNumSamples();
446      int numDataPointsPerSample = getNumDPPSample();
447      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
448      if (temp_ev==0) {
449        throw DataException("Error - DataExpanded::symmetric: casting to DataExpanded failed (propably a programming error).");
450      }
451      const ValueType& vec=getVectorRO();
452      const ShapeType& shape=getShape();
453      ValueType& evVec=temp_ev->getVectorRW();
454      const ShapeType& evShape=temp_ev->getShape();
455      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
456      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
457        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
458             DataMaths::symmetric(vec,shape,getPointOffset(sampleNo,dataPointNo),
459                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo));
460      }      }
461    }    }
462    if (sampleNo == -1) {  }
463      throw DataException("DataExpanded::setRefValue error: invalid ref number supplied.");  void
464    DataExpanded::nonsymmetric(DataAbstract* ev)
465    {
466      int sampleNo,dataPointNo;
467      int numSamples = getNumSamples();
468      int numDataPointsPerSample = getNumDPPSample();
469      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
470      if (temp_ev==0) {
471        throw DataException("Error - DataExpanded::nonsymmetric: casting to DataExpanded failed (propably a programming error).");
472      }
473      const ValueType& vec=getVectorRO();
474      const ShapeType& shape=getShape();
475      ValueType& evVec=temp_ev->getVectorRW();
476      const ShapeType& evShape=temp_ev->getShape();
477      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
478      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
479        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
480             DataMaths::nonsymmetric(vec,shape,getPointOffset(sampleNo,dataPointNo),
481                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo));
482        }
483    }    }
484    }
485    void
486    DataExpanded::trace(DataAbstract* ev, int axis_offset)
487    {
488      int sampleNo,dataPointNo;
489      int numSamples = getNumSamples();
490      int numDataPointsPerSample = getNumDPPSample();
491      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
492      if (temp_ev==0) {
493        throw DataException("Error - DataExpanded::trace: casting to DataExpanded failed (propably a programming error).");
494      }
495      const ValueType& vec=getVectorRO();
496      const ShapeType& shape=getShape();
497      ValueType& evVec=temp_ev->getVectorRW();
498      const ShapeType& evShape=temp_ev->getShape();
499      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
500      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
501        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
502             DataMaths::trace(vec,shape,getPointOffset(sampleNo,dataPointNo),
503                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
504        }
505      }
506    }
507    
508    for (int n=0; n<numDPPSample; n++) {  void
509      //  DataExpanded::transpose(DataAbstract* ev, int axis_offset)
510      // Get each data-point in the sample in turn.  {
511      DataArrayView pointView = getDataPoint(sampleNo, n);    int sampleNo,dataPointNo;
512      int numSamples = getNumSamples();
513      //    int numDataPointsPerSample = getNumDPPSample();
514      // Assign the values in the DataArray to this data-point.    DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
515      pointView.copy(value.getView());    if (temp_ev==0) {
516        throw DataException("Error - DataExpanded::transpose: casting to DataExpanded failed (propably a programming error).");
517      }
518      const ValueType& vec=getVectorRO();
519      const ShapeType& shape=getShape();
520      ValueType& evVec=temp_ev->getVectorRW();
521      const ShapeType& evShape=temp_ev->getShape();
522      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
523      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
524        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
525             DataMaths::transpose(vec,shape,getPointOffset(sampleNo,dataPointNo),
526                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo),axis_offset);
527        }
528    }    }
529  }  }
530    
531  void  void
532  DataExpanded::getRefValue(int ref,  DataExpanded::swapaxes(DataAbstract* ev, int axis0, int axis1)
533                            DataArray& value)  {
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::swapaxes: casting to DataExpanded failed (propably a programming error).");
540      }
541      const ValueType& vec=getVectorRO();
542      const ShapeType& shape=getShape();
543      ValueType& evVec=temp_ev->getVectorRW();
544      const ShapeType& evShape=temp_ev->getShape();
545      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
546      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
547        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
548             DataMaths::swapaxes(vec,shape,getPointOffset(sampleNo,dataPointNo),
549                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo),axis0,axis1);
550        }
551      }
552    }
553    void
554    DataExpanded::eigenvalues(DataAbstract* ev)
555    {
556      int sampleNo,dataPointNo;
557      int numSamples = getNumSamples();
558      int numDataPointsPerSample = getNumDPPSample();
559      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
560      if (temp_ev==0) {
561        throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error).");
562      }
563      const ValueType& vec=getVectorRO();
564      const ShapeType& shape=getShape();
565      ValueType& evVec=temp_ev->getVectorRW();
566      const ShapeType& evShape=temp_ev->getShape();
567      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
568      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
569        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
570             DataMaths::eigenvalues(vec,shape,getPointOffset(sampleNo,dataPointNo),
571                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo));
572        }
573      }
574    }
575    void
576    DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol)
577  {  {
   //  
   // Get the number of samples and data-points per sample.  
578    int numSamples = getNumSamples();    int numSamples = getNumSamples();
579    int numDPPSample = getNumDPPSample();    int numDataPointsPerSample = getNumDPPSample();
580      int sampleNo,dataPointNo;
581      DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev);
582      if (temp_ev==0) {
583        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
584      }
585      DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V);
586      if (temp_V==0) {
587        throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error).");
588      }
589      const ValueType& vec=getVectorRO();
590      const ShapeType& shape=getShape();
591      ValueType& evVec=temp_ev->getVectorRW();
592      const ShapeType& evShape=temp_ev->getShape();
593      ValueType& VVec=temp_V->getVectorRW();
594      const ShapeType& VShape=temp_V->getShape();
595      #pragma omp parallel for private(sampleNo,dataPointNo) schedule(static)
596      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
597        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
598             DataMaths::eigenvalues_and_eigenvectors(vec,shape,getPointOffset(sampleNo,dataPointNo),
599                                        evVec,evShape,ev->getPointOffset(sampleNo,dataPointNo),
600                                        VVec, VShape,V->getPointOffset(sampleNo,dataPointNo),tol);
601        }
602      }
603    }
604    
605    //  
606    // Determine the sample number which corresponds to this reference number  int
607    int sampleNo = -1;  DataExpanded::matrixInverse(DataAbstract* out) const
608    int tempRef = -1;  {
609    for (int n=0; n<numSamples; n++) {    DataExpanded* temp=dynamic_cast<DataExpanded*>(out);
610      tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n);    if (temp==0)
611      if (tempRef == ref) {    {
612        sampleNo = n;      throw DataException("Error - DataExpanded::matrixInverse: casting to DataExpanded failed (propably a programming error).");
613        break;    }
614    
615      if (getRank()!=2)
616      {
617        throw DataException("Error - DataExpanded::matrixInverse: input must be rank 2.");
618    
619      }
620      int  sampleNo;
621      const int numdpps=getNumDPPSample();
622      const int numSamples = getNumSamples();
623      const ValueType& vec=m_data.getData();
624      int errcode=0;
625      #pragma omp parallel private(sampleNo)
626      {
627         int errorcode=0;
628         LapackInverseHelper h(getShape()[0]);
629         #pragma omp for schedule(static)
630         for (sampleNo = 0; sampleNo < numSamples; sampleNo++)
631         {
632                // not sure I like all those virtual calls to getPointOffset
633            DataTypes::ValueType::size_type offset=getPointOffset(sampleNo,0);
634            int res=DataMaths::matrix_inverse(vec, getShape(), offset, temp->getVectorRW(), temp->getShape(), offset, numdpps, h);
635        if (res>errorcode)
636        {
637            errorcode=res;
638            #pragma omp critical
639            {
640              errcode=errorcode;    // I'm not especially concerned which error gets reported as long as one is
641            }
642        }
643         }
644      }
645      return errcode;
646      if (errcode)
647      {
648        DataMaths::matrixInverseError(errcode); // throws exceptions
649      }
650    }
651    
652    void
653    DataExpanded::setToZero(){
654    // TODO: Surely there is a more efficient way to do this????
655    // Why is there no memset here? Parallel issues?
656    // A: This ensures that memory is touched by the correct thread.
657      CHECK_FOR_EX_WRITE
658      int numSamples = getNumSamples();
659      int numDataPointsPerSample = getNumDPPSample();
660      DataTypes::ValueType::size_type n = getNoValues();
661      double* p;
662      int  sampleNo,dataPointNo, i;
663      #pragma omp parallel for private(sampleNo,dataPointNo,p,i) schedule(static)
664      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
665        for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
666            p=&(m_data[getPointOffset(sampleNo,dataPointNo)]);
667            for (i=0; i<n ;++i) p[i]=0.;
668      }      }
669    }    }
670    if (sampleNo == -1) {  }
671      throw DataException("DataExpanded::getRefValue error: invalid ref number supplied.");  
672    /* Append MPI rank to file name if multiple MPI processes */
673    char *Escript_MPI_appendRankToFileName(const char *fileName, int mpi_size, int mpi_rank) {
674      /* Make plenty of room for the mpi_rank number and terminating '\0' */
675      char *newFileName = (char *)malloc(strlen(fileName)+20);
676      strncpy(newFileName, fileName, strlen(fileName)+1);
677      if (mpi_size>1) sprintf(newFileName+strlen(newFileName), ".%04d", mpi_rank);
678      return(newFileName);
679    }
680    
681    void
682    DataExpanded::dump(const std::string fileName) const
683    {
684       #ifdef USE_NETCDF
685       const int ldims=2+DataTypes::maxRank;
686       const NcDim* ncdims[ldims];
687       NcVar *var, *ids;
688       int rank = getRank();
689       int type=  getFunctionSpace().getTypeCode();
690       int ndims =0;
691       long dims[ldims];
692       const double* d_ptr=&(m_data[0]);
693       const DataTypes::ShapeType& shape = getShape();
694       int mpi_iam=getFunctionSpace().getDomain()->getMPIRank();
695       int mpi_num=getFunctionSpace().getDomain()->getMPISize();
696    #ifdef ESYS_MPI
697       MPI_Status status;
698    #endif
699    
700    #ifdef ESYS_MPI
701       /* Serialize NetCDF I/O */
702       if (mpi_iam>0) MPI_Recv(&ndims, 0, MPI_INT, mpi_iam-1, 81801, MPI_COMM_WORLD, &status);
703    #endif
704    
705       // netCDF error handler
706       NcError err(NcError::verbose_nonfatal);
707       // Create the file.
708       char *newFileName = Escript_MPI_appendRankToFileName(fileName.c_str(), mpi_num, mpi_iam);
709       NcFile dataFile(newFileName, NcFile::Replace);
710       // check if writing was successful
711       if (!dataFile.is_valid())
712            throw DataException("Error - DataExpanded:: opening of netCDF file for output failed.");
713       if (!dataFile.add_att("type_id",2) )
714            throw DataException("Error - DataExpanded:: appending data type to netCDF file failed.");
715       if (!dataFile.add_att("rank",rank) )
716            throw DataException("Error - DataExpanded:: appending rank attribute to netCDF file failed.");
717       if (!dataFile.add_att("function_space_type",type))
718            throw DataException("Error - DataExpanded:: appending function space attribute to netCDF file failed.");
719       ndims=rank+2;
720       if ( rank >0 ) {
721           dims[0]=shape[0];
722           if (! (ncdims[0] = dataFile.add_dim("d0",shape[0])) )
723                throw DataException("Error - DataExpanded:: appending ncdimension 0 to netCDF file failed.");
724       }
725       if ( rank >1 ) {
726           dims[1]=shape[1];
727           if (! (ncdims[1] = dataFile.add_dim("d1",shape[1])) )
728                throw DataException("Error - DataExpanded:: appending ncdimension 1 to netCDF file failed.");
729       }
730       if ( rank >2 ) {
731           dims[2]=shape[2];
732           if (! (ncdims[2] = dataFile.add_dim("d2", shape[2])) )
733                throw DataException("Error - DataExpanded:: appending ncdimension 2 to netCDF file failed.");
734       }
735       if ( rank >3 ) {
736           dims[3]=shape[3];
737           if (! (ncdims[3] = dataFile.add_dim("d3", shape[3])) )
738                throw DataException("Error - DataExpanded:: appending ncdimension 3 to netCDF file failed.");
739       }
740       dims[rank]=getFunctionSpace().getNumDataPointsPerSample();
741       if (! (ncdims[rank] = dataFile.add_dim("num_data_points_per_sample", dims[rank])) )
742                throw DataException("Error - DataExpanded:: appending num_data_points_per_sample to netCDF file failed.");
743       dims[rank+1]=getFunctionSpace().getNumSamples();
744       if (! (ncdims[rank+1] = dataFile.add_dim("num_samples", dims[rank+1])) )
745                throw DataException("Error - DataExpanded:: appending num_sample to netCDF file failed.");
746    
747       if (getFunctionSpace().getNumSamples()>0)
748       {
749    
750         if (! ( ids = dataFile.add_var("id", ncInt, ncdims[rank+1])) )
751            throw DataException("Error - DataExpanded:: appending reference id to netCDF file failed.");
752         const int* ids_p=getFunctionSpace().borrowSampleReferenceIDs();
753         if (! (ids->put(ids_p,dims[rank+1])) )
754            throw DataException("Error - DataExpanded:: copy reference id  to netCDF buffer failed.");
755         if (! ( var = dataFile.add_var("data", ncDouble, ndims, ncdims)) )
756            throw DataException("Error - DataExpanded:: appending variable to netCDF file failed.");
757         if (! (var->put(d_ptr,dims)) )
758            throw DataException("Error - DataExpanded:: copy data to netCDF buffer failed.");
759       }
760    #ifdef ESYS_MPI
761       if (mpi_iam<mpi_num-1) MPI_Send(&ndims, 0, MPI_INT, mpi_iam+1, 81801, MPI_COMM_WORLD);
762    #endif
763       #else
764       throw DataException("Error - DataExpanded:: dump is not configured with netCDF. Please contact your installation manager.");
765       #endif
766    }
767    
768    void  
769    DataExpanded::setTaggedValue(int tagKey,
770               const DataTypes::ShapeType& pointshape,
771                   const DataTypes::ValueType& value,
772               int dataOffset)
773    {
774      CHECK_FOR_EX_WRITE
775      int numSamples = getNumSamples();
776      int numDataPointsPerSample = getNumDPPSample();
777      int sampleNo,dataPointNo, i;
778      DataTypes::ValueType::size_type n = getNoValues();
779      double* p;
780      const double* in=&value[0+dataOffset];
781      
782      if (value.size() != n) {
783        throw DataException("Error - DataExpanded::setTaggedValue: number of input values does not match number of values per data points.");
784      }
785    
786      #pragma omp parallel for private(sampleNo,dataPointNo,p,i) schedule(static)
787      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
788        if (getFunctionSpace().getTagFromSampleNo(sampleNo) == tagKey ) {
789            for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) {
790                p=&(m_data[getPointOffset(sampleNo,dataPointNo)]);
791                for (i=0; i<n ;++i) p[i]=in[i];
792            }
793        }
794    }    }
795    }
796    
   //  
   // Get the first data-point associated with this sample number.  
   DataArrayView pointView = getDataPoint(sampleNo, 0);  
797    
798    //  void
799    // Load the values from this data-point into the DataArray  DataExpanded::reorderByReferenceIDs(int *reference_ids)
800    value.getView().copy(pointView);  {
801      CHECK_FOR_EX_WRITE
802      int numSamples = getNumSamples();
803      DataTypes::ValueType::size_type n = getNoValues() * getNumDPPSample();
804      int sampleNo, sampleNo2,i;
805      double* p,*p2;
806      register double rtmp;
807      FunctionSpace fs=getFunctionSpace();
808    
809      for (sampleNo = 0; sampleNo < numSamples; sampleNo++) {
810         const int id_in=reference_ids[sampleNo];
811         const int id=fs.getReferenceIDOfSample(sampleNo);
812         if (id!=id_in) {
813             bool matched=false;
814             for (sampleNo2 = sampleNo+1; sampleNo2 < numSamples; sampleNo2++) {
815                  if (id == reference_ids[sampleNo2]) {
816                     p=&(m_data[getPointOffset(sampleNo,0)]);
817                     p2=&(m_data[getPointOffset(sampleNo2,0)]);
818                     for (i=0; i<n ;i++) {
819                             rtmp=p[i];
820                             p[i]=p2[i];
821                             p2[i]=rtmp;
822                     }
823                     reference_ids[sampleNo]=id;
824                     reference_ids[sampleNo2]=id_in;
825                     matched=true;
826                     break;
827                  }
828             }
829             if (! matched) {
830                throw DataException("Error - DataExpanded::reorderByReferenceIDs: unable to reorder sample data by reference ids");
831             }
832         }
833       }
834    }
835    
836    DataTypes::ValueType&
837    DataExpanded::getVectorRW()
838    {
839        CHECK_FOR_EX_WRITE
840        return m_data.getData();
841    }
842    
843    const DataTypes::ValueType&
844    DataExpanded::getVectorRO() const
845    {
846        return m_data.getData();
847    }
848    
849    
850    #ifndef MKLRANDOM
851    namespace {
852        
853    boost::mt19937 base;        // used to seed all the other generators  
854    vector<boost::mt19937> gens;
855    
856    
857    void seedGens(long seed)
858    {
859    #ifdef _OPENMP
860        int numthreads=omp_get_max_threads();
861    #else
862        int numthreads=1;
863    #endif
864        if (gens.size()==0)     // we haven't instantiated the generators yet  
865        {
866            gens.resize(numthreads);    // yes this means all the generators will be owned by one thread in a NUMA sense      
867        }                   // I don't think it is worth a more complicated solution at this point
868        if (seed!=0)
869        {
870           base.seed((uint32_t)seed);   // without this cast, icc gets confused    
871           for (int i=0;i<numthreads;++i)
872           {
873            uint32_t b=base();
874                gens[i].seed(b);    // initialise each generator with successive random values      
875           }      
876        }
877    }
878      
879      
880    }
881    #endif
882    
883    // Idea here is to create an array of seeds by feeding the original seed into the random generator
884    // The code at the beginning of the function to compute the seed if one is given is
885    // just supposed to introduce some variety (and ensure that multiple ranks don't get the same seed).
886    // I make no claim about how well these initial seeds are distributed
887    void DataExpanded::randomFill(long seed)
888    {
889        CHECK_FOR_EX_WRITE
890        static unsigned prevseed=0; // So if we create a bunch of objects we don't get the same start seed
891        if (seed==0)        // for each one
892        {
893        if (prevseed==0)
894        {
895            time_t s=time(0);
896            seed=s;
897        }
898        else
899        {
900            seed=prevseed+419;  // these numbers are arbitrary
901            if (seed>3040101)       // I want to avoid overflow on 32bit systems
902            {
903            seed=((int)(seed)%0xABCD)+1;
904            }
905        }
906        }
907        // now we need to consider MPI since we don't want each rank to start with the same seed
908        seed+=getFunctionSpace().getDomain()->getMPIRank()*getFunctionSpace().getDomain()->getMPISize()*3;
909        prevseed=seed;
910    
911    #ifdef MKLRANDOM
912    
913    #ifdef _OPENMP
914        int numthreads=omp_get_max_threads();
915    #else
916        int numthreads=1;
917    #endif
918        double* seeds=new double[numthreads];
919        VSLStreamStatePtr sstream;
920    
921        int status=vslNewStream(&sstream, VSL_BRNG_MT19937, seed);  // use a Mersenne Twister
922        numeric_limits<double> dlim;
923        vdRngUniform(VSL_METHOD_DUNIFORM_STD, sstream , numthreads, seeds, -1, 1);
924        vslDeleteStream(&sstream);
925        DataVector& dv=getVectorRW();
926        size_t dvsize=dv.size();
927        #pragma omp parallel
928        {
929        int tnum=0;
930        #ifdef _OPENMP
931        tnum=omp_get_thread_num();
932        #endif
933        VSLStreamStatePtr stream;
934        // the 12345 is a hack to give us a better chance of getting different integer seeds.
935            int status=vslNewStream(&stream, VSL_BRNG_MT19937, seeds[tnum]*12345);  // use a Mersenne Twister
936        int bigchunk=(dvsize/numthreads+1);
937        int smallchunk=dvsize-bigchunk*(numthreads-1);
938        int chunksize=(tnum<(numthreads-1))?bigchunk:smallchunk;
939            vdRngUniform(VSL_METHOD_DUNIFORM_STD, stream, chunksize, &(dv[bigchunk*tnum]), 0,1);
940            vslDeleteStream(&stream);
941        }
942        delete[] seeds;
943    #else
944        boost::mt19937::result_type RMAX=base.max();
945        seedGens(seed);
946        DataVector&  dv=getVectorRW();
947        long i;
948        const size_t dvsize=dv.size();
949        
950        #pragma omp parallel private(i)
951        {
952        int tnum=0;
953        #ifdef _OPENMP
954        tnum=omp_get_thread_num();
955        #endif
956        boost::mt19937& generator=gens[tnum];
957        
958            #pragma omp for schedule(static)
959            for (i=0;i<dvsize;++i)
960            {
961          
962          
963        
964          
965          
966    #ifdef _WIN32
967            dv[i]=((double)generator())/RMAX;
968    #else
969            dv[i]=((double)generator())/RMAX;
970    #endif
971            }
972        }
973    #endif
974  }  }
975    
976  }  // end of namespace  }  // end of namespace

Legend:
Removed from v.113  
changed lines
  Added in v.3552

  ViewVC Help
Powered by ViewVC 1.1.26