| 1 |
// $Id$ |
| 2 |
/* |
| 3 |
************************************************************ |
| 4 |
* Copyright 2006 by ACcESS MNRF * |
| 5 |
* * |
| 6 |
* http://www.access.edu.au * |
| 7 |
* Primary Business: Queensland, Australia * |
| 8 |
* Licensed under the Open Software License version 3.0 * |
| 9 |
* http://www.opensource.org/licenses/osl-3.0.php * |
| 10 |
* * |
| 11 |
************************************************************ |
| 12 |
*/ |
| 13 |
|
| 14 |
#include "DataExpanded.h" |
| 15 |
#include "DataException.h" |
| 16 |
#include "DataConstant.h" |
| 17 |
#include "DataTagged.h" |
| 18 |
|
| 19 |
#include <boost/python/extract.hpp> |
| 20 |
|
| 21 |
using namespace std; |
| 22 |
using namespace boost::python; |
| 23 |
using namespace boost; |
| 24 |
|
| 25 |
namespace escript { |
| 26 |
|
| 27 |
DataExpanded::DataExpanded(const boost::python::numeric::array& value, |
| 28 |
const FunctionSpace& what) |
| 29 |
: DataAbstract(what) |
| 30 |
{ |
| 31 |
DataArrayView::ShapeType tempShape; |
| 32 |
// |
| 33 |
// extract the shape of the python numarray |
| 34 |
for (int i=0; i<value.getrank(); i++) { |
| 35 |
tempShape.push_back(extract<int>(value.getshape()[i])); |
| 36 |
} |
| 37 |
// |
| 38 |
// initialise the data array for this object |
| 39 |
initialise(tempShape,what.getNumSamples(),what.getNumDPPSample()); |
| 40 |
// |
| 41 |
// copy the given value to every data point |
| 42 |
copy(value); |
| 43 |
} |
| 44 |
|
| 45 |
DataExpanded::DataExpanded(const DataExpanded& other) |
| 46 |
: DataAbstract(other.getFunctionSpace()), |
| 47 |
m_data(other.m_data) |
| 48 |
{ |
| 49 |
// |
| 50 |
// create the view for the data |
| 51 |
DataArrayView temp(m_data.getData(),other.getPointDataView().getShape()); |
| 52 |
setPointDataView(temp); |
| 53 |
} |
| 54 |
|
| 55 |
DataExpanded::DataExpanded(const DataConstant& other) |
| 56 |
: DataAbstract(other.getFunctionSpace()) |
| 57 |
{ |
| 58 |
// |
| 59 |
// initialise the data array for this object |
| 60 |
initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample()); |
| 61 |
// |
| 62 |
// DataConstant only has one value, copy this to every data point |
| 63 |
copy(other.getPointDataView()); |
| 64 |
} |
| 65 |
|
| 66 |
DataExpanded::DataExpanded(const DataTagged& other) |
| 67 |
: DataAbstract(other.getFunctionSpace()) |
| 68 |
{ |
| 69 |
// |
| 70 |
// initialise the data array for this object |
| 71 |
initialise(other.getPointDataView().getShape(),other.getNumSamples(),other.getNumDPPSample()); |
| 72 |
// |
| 73 |
// for each data point in this object, extract and copy the corresponding data |
| 74 |
// value from the given DataTagged object |
| 75 |
int i,j; |
| 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; |
| 88 |
} |
| 89 |
} |
| 90 |
} |
| 91 |
} |
| 92 |
|
| 93 |
DataExpanded::DataExpanded(const DataExpanded& other, |
| 94 |
const DataArrayView::RegionType& region) |
| 95 |
: DataAbstract(other.getFunctionSpace()) |
| 96 |
{ |
| 97 |
// |
| 98 |
// get the shape of the slice |
| 99 |
DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region)); |
| 100 |
// |
| 101 |
// initialise this Data object to the shape of the slice |
| 102 |
initialise(shape,other.getNumSamples(),other.getNumDPPSample()); |
| 103 |
// |
| 104 |
// copy the data |
| 105 |
DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region); |
| 106 |
DataArrayView::ValueType::size_type numRows=m_data.getNumRows(); |
| 107 |
DataArrayView::ValueType::size_type numCols=m_data.getNumCols(); |
| 108 |
int i,j; |
| 109 |
#pragma omp parallel for private(i,j) schedule(static) |
| 110 |
for (i=0;i<numRows;i++) { |
| 111 |
for (j=0;j<numCols;j++) { |
| 112 |
try { |
| 113 |
getPointDataView().copySlice(getPointOffset(i,j), |
| 114 |
other.getPointDataView(), |
| 115 |
other.getPointOffset(i,j), |
| 116 |
region_loop_range); |
| 117 |
} |
| 118 |
catch (std::exception& e) { |
| 119 |
cout << e.what() << endl; |
| 120 |
} |
| 121 |
} |
| 122 |
} |
| 123 |
} |
| 124 |
|
| 125 |
DataExpanded::DataExpanded(const DataArrayView& value, |
| 126 |
const FunctionSpace& what) |
| 127 |
: DataAbstract(what) |
| 128 |
{ |
| 129 |
// |
| 130 |
// get the shape of the given data value |
| 131 |
DataArrayView::ShapeType tempShape=value.getShape(); |
| 132 |
// |
| 133 |
// initialise this Data object to the shape of the given data value |
| 134 |
initialise(tempShape,what.getNumSamples(),what.getNumDPPSample()); |
| 135 |
// |
| 136 |
// copy the given value to every data point |
| 137 |
copy(value); |
| 138 |
} |
| 139 |
|
| 140 |
DataExpanded::DataExpanded(const FunctionSpace& what, |
| 141 |
const DataArrayView::ShapeType &shape, |
| 142 |
const DataArrayView::ValueType &data) |
| 143 |
: DataAbstract(what) |
| 144 |
{ |
| 145 |
// |
| 146 |
// create the view of the data |
| 147 |
initialise(shape,what.getNumSamples(),what.getNumDPPSample()); |
| 148 |
// |
| 149 |
// copy the data in the correct format |
| 150 |
m_data.getData()=data; |
| 151 |
} |
| 152 |
|
| 153 |
DataExpanded::~DataExpanded() |
| 154 |
{ |
| 155 |
} |
| 156 |
|
| 157 |
void |
| 158 |
DataExpanded::reshapeDataPoint(const DataArrayView::ShapeType& shape) |
| 159 |
{ |
| 160 |
if (getPointDataView().getRank()!=0) { |
| 161 |
stringstream temp; |
| 162 |
temp << "Error - Can only reshape Data with data points of rank 0. " |
| 163 |
<< "This Data has data points with rank: " |
| 164 |
<< getPointDataView().getRank(); |
| 165 |
throw DataException(temp.str()); |
| 166 |
} |
| 167 |
// |
| 168 |
// create the new DataBlocks2D data array, and a corresponding DataArrayView |
| 169 |
DataBlocks2D newData(getNumSamples(),getNumDPPSample(),DataArrayView::noValues(shape)); |
| 170 |
DataArrayView newView(newData.getData(),shape); |
| 171 |
// |
| 172 |
// Copy the original data to every value for the new shape |
| 173 |
int i,j; |
| 174 |
int nRows=m_data.getNumRows(); |
| 175 |
int nCols=m_data.getNumCols(); |
| 176 |
#pragma omp parallel for private(i,j) schedule(static) |
| 177 |
for (i=0;i<nRows;i++) { |
| 178 |
for (j=0;j<nCols;j++) { |
| 179 |
// NOTE: An exception may be thown from this call if |
| 180 |
// DOASSERT is on which of course will play |
| 181 |
// havoc with the omp threads. Run single threaded |
| 182 |
// if using DOASSERT. |
| 183 |
newView.copy(newData.index(i,j),m_data(i,j)); |
| 184 |
} |
| 185 |
} |
| 186 |
// swap the new data array for the original |
| 187 |
m_data.Swap(newData); |
| 188 |
// set the corresponding DataArrayView |
| 189 |
DataArrayView temp(m_data.getData(),shape); |
| 190 |
setPointDataView(temp); |
| 191 |
} |
| 192 |
|
| 193 |
DataAbstract* |
| 194 |
DataExpanded::getSlice(const DataArrayView::RegionType& region) const |
| 195 |
{ |
| 196 |
return new DataExpanded(*this,region); |
| 197 |
} |
| 198 |
|
| 199 |
void |
| 200 |
DataExpanded::setSlice(const DataAbstract* value, |
| 201 |
const DataArrayView::RegionType& region) |
| 202 |
{ |
| 203 |
const DataExpanded* tempDataExp=dynamic_cast<const DataExpanded*>(value); |
| 204 |
if (tempDataExp==0) { |
| 205 |
throw DataException("Programming error - casting to DataExpanded."); |
| 206 |
} |
| 207 |
// |
| 208 |
// get shape of slice |
| 209 |
DataArrayView::ShapeType shape(DataArrayView::getResultSliceShape(region)); |
| 210 |
DataArrayView::RegionLoopRangeType region_loop_range=getSliceRegionLoopRange(region); |
| 211 |
// |
| 212 |
// check shape |
| 213 |
if (getPointDataView().getRank()!=region.size()) { |
| 214 |
throw DataException("Error - Invalid slice region."); |
| 215 |
} |
| 216 |
if (tempDataExp->getPointDataView().getRank()>0 and !value->getPointDataView().checkShape(shape)) { |
| 217 |
throw DataException (value->getPointDataView().createShapeErrorMessage( |
| 218 |
"Error - Couldn't copy slice due to shape mismatch.",shape)); |
| 219 |
} |
| 220 |
// |
| 221 |
// copy the data from the slice into this object |
| 222 |
DataArrayView::ValueType::size_type numRows=m_data.getNumRows(); |
| 223 |
DataArrayView::ValueType::size_type numCols=m_data.getNumCols(); |
| 224 |
int i, j; |
| 225 |
#pragma omp parallel for private(i,j) schedule(static) |
| 226 |
for (i=0;i<numRows;i++) { |
| 227 |
for (j=0;j<numCols;j++) { |
| 228 |
getPointDataView().copySliceFrom(getPointOffset(i,j), |
| 229 |
tempDataExp->getPointDataView(), |
| 230 |
tempDataExp->getPointOffset(i,j), |
| 231 |
region_loop_range); |
| 232 |
} |
| 233 |
} |
| 234 |
} |
| 235 |
|
| 236 |
void |
| 237 |
DataExpanded::copy(const DataArrayView& value) |
| 238 |
{ |
| 239 |
// |
| 240 |
// copy a single value to every data point in this object |
| 241 |
int nRows=m_data.getNumRows(); |
| 242 |
int nCols=m_data.getNumCols(); |
| 243 |
int i,j; |
| 244 |
#pragma omp parallel for private(i,j) schedule(static) |
| 245 |
for (i=0;i<nRows;i++) { |
| 246 |
for (j=0;j<nCols;j++) { |
| 247 |
// NOTE: An exception may be thown from this call if |
| 248 |
// DOASSERT is on which of course will play |
| 249 |
// havoc with the omp threads. Run single threaded |
| 250 |
// if using DOASSERT. |
| 251 |
getPointDataView().copy(m_data.index(i,j),value); |
| 252 |
} |
| 253 |
} |
| 254 |
} |
| 255 |
|
| 256 |
void |
| 257 |
DataExpanded::copy(const boost::python::numeric::array& value) |
| 258 |
{ |
| 259 |
// |
| 260 |
// first convert the numarray into a DataArray object |
| 261 |
DataArray temp(value); |
| 262 |
// |
| 263 |
// check the input shape matches this shape |
| 264 |
if (!getPointDataView().checkShape(temp.getView().getShape())) { |
| 265 |
throw DataException(getPointDataView().createShapeErrorMessage( |
| 266 |
"Error - (DataExpanded) Cannot copy due to shape mismatch.", |
| 267 |
temp.getView().getShape())); |
| 268 |
} |
| 269 |
// |
| 270 |
// now copy over the data |
| 271 |
copy(temp.getView()); |
| 272 |
} |
| 273 |
|
| 274 |
void |
| 275 |
DataExpanded::initialise(const DataArrayView::ShapeType& shape, |
| 276 |
int noSamples, |
| 277 |
int noDataPointsPerSample) |
| 278 |
{ |
| 279 |
// |
| 280 |
// resize data array to the required size |
| 281 |
m_data.resize(noSamples,noDataPointsPerSample,DataArrayView::noValues(shape)); |
| 282 |
// |
| 283 |
// create the data view of the data array |
| 284 |
DataArrayView temp(m_data.getData(),shape); |
| 285 |
setPointDataView(temp); |
| 286 |
} |
| 287 |
|
| 288 |
string |
| 289 |
DataExpanded::toString() const |
| 290 |
{ |
| 291 |
stringstream temp; |
| 292 |
// |
| 293 |
// create a temporary view as the offset will be changed |
| 294 |
DataArrayView tempView(getPointDataView().getData(),getPointDataView().getShape(),getPointDataView().getOffset()); |
| 295 |
for (int i=0;i<m_data.getNumRows();i++) { |
| 296 |
for (int j=0;j<m_data.getNumCols();j++) { |
| 297 |
tempView.setOffset(m_data.index(i,j)); |
| 298 |
stringstream suffix; |
| 299 |
suffix << "(" << i << "," << j << ")"; |
| 300 |
temp << tempView.toString(suffix.str()); |
| 301 |
if (!(i==(m_data.getNumRows()-1) && j==(m_data.getNumCols()-1))) { |
| 302 |
temp << endl; |
| 303 |
} |
| 304 |
} |
| 305 |
} |
| 306 |
return temp.str(); |
| 307 |
} |
| 308 |
|
| 309 |
DataArrayView::ValueType::size_type |
| 310 |
DataExpanded::getPointOffset(int sampleNo, |
| 311 |
int dataPointNo) const |
| 312 |
{ |
| 313 |
return m_data.index(sampleNo,dataPointNo); |
| 314 |
} |
| 315 |
|
| 316 |
DataArrayView |
| 317 |
DataExpanded::getDataPoint(int sampleNo, |
| 318 |
int dataPointNo) |
| 319 |
{ |
| 320 |
DataArrayView temp(m_data.getData(),getPointDataView().getShape(),m_data.index(sampleNo,dataPointNo)); |
| 321 |
return temp; |
| 322 |
} |
| 323 |
|
| 324 |
DataArrayView::ValueType::size_type |
| 325 |
DataExpanded::getLength() const |
| 326 |
{ |
| 327 |
return m_data.size(); |
| 328 |
} |
| 329 |
|
| 330 |
void |
| 331 |
DataExpanded::setRefValue(int ref, |
| 332 |
const DataArray& value) |
| 333 |
{ |
| 334 |
// |
| 335 |
// Get the number of samples and data-points per sample. |
| 336 |
int numSamples = getNumSamples(); |
| 337 |
int numDPPSample = getNumDPPSample(); |
| 338 |
|
| 339 |
// |
| 340 |
// Determine the sample number which corresponds to this reference number. |
| 341 |
int sampleNo = -1; |
| 342 |
int tempRef = -1; |
| 343 |
for (int n=0; n<numSamples; n++) { |
| 344 |
tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n); |
| 345 |
if (tempRef == ref) { |
| 346 |
sampleNo = n; |
| 347 |
break; |
| 348 |
} |
| 349 |
} |
| 350 |
if (sampleNo == -1) { |
| 351 |
throw DataException("DataExpanded::setRefValue error: invalid ref number supplied."); |
| 352 |
} |
| 353 |
|
| 354 |
for (int n=0; n<numDPPSample; n++) { |
| 355 |
// |
| 356 |
// Get *each* data-point in the sample in turn. |
| 357 |
DataArrayView pointView = getDataPoint(sampleNo, n); |
| 358 |
// |
| 359 |
// Assign the values in the DataArray to this data-point. |
| 360 |
pointView.copy(value.getView()); |
| 361 |
} |
| 362 |
} |
| 363 |
|
| 364 |
void |
| 365 |
DataExpanded::getRefValue(int ref, |
| 366 |
DataArray& value) |
| 367 |
{ |
| 368 |
// |
| 369 |
// Get the number of samples and data-points per sample. |
| 370 |
int numSamples = getNumSamples(); |
| 371 |
int numDPPSample = getNumDPPSample(); |
| 372 |
|
| 373 |
// |
| 374 |
// Determine the sample number which corresponds to this reference number |
| 375 |
int sampleNo = -1; |
| 376 |
int tempRef = -1; |
| 377 |
for (int n=0; n<numSamples; n++) { |
| 378 |
tempRef = getFunctionSpace().getReferenceNoFromSampleNo(n); |
| 379 |
if (tempRef == ref) { |
| 380 |
sampleNo = n; |
| 381 |
break; |
| 382 |
} |
| 383 |
} |
| 384 |
if (sampleNo == -1) { |
| 385 |
throw DataException("DataExpanded::getRefValue error: invalid ref number supplied."); |
| 386 |
} |
| 387 |
|
| 388 |
// |
| 389 |
// Get the *first* data-point associated with this sample number. |
| 390 |
DataArrayView pointView = getDataPoint(sampleNo, 0); |
| 391 |
|
| 392 |
// |
| 393 |
// Load the values from this data-point into the DataArray |
| 394 |
value.getView().copy(pointView); |
| 395 |
} |
| 396 |
|
| 397 |
int |
| 398 |
DataExpanded::archiveData(ofstream& archiveFile, |
| 399 |
const DataArrayView::ValueType::size_type noValues) const |
| 400 |
{ |
| 401 |
return(m_data.archiveData(archiveFile, noValues)); |
| 402 |
} |
| 403 |
|
| 404 |
int |
| 405 |
DataExpanded::extractData(ifstream& archiveFile, |
| 406 |
const DataArrayView::ValueType::size_type noValues) |
| 407 |
{ |
| 408 |
return(m_data.extractData(archiveFile, noValues)); |
| 409 |
} |
| 410 |
|
| 411 |
void |
| 412 |
DataExpanded::copyAll(const boost::python::numeric::array& value) { |
| 413 |
// |
| 414 |
// Get the number of samples and data-points per sample. |
| 415 |
int numSamples = getNumSamples(); |
| 416 |
int numDataPointsPerSample = getNumDPPSample(); |
| 417 |
int dataPointRank = getPointDataView().getRank(); |
| 418 |
ShapeType dataPointShape = getPointDataView().getShape(); |
| 419 |
// |
| 420 |
// check rank: |
| 421 |
if (value.getrank()!=dataPointRank+1) |
| 422 |
throw DataException("Rank of numarray does not match Data object rank"); |
| 423 |
if (value.getshape()[0]!=numSamples*numDataPointsPerSample) |
| 424 |
throw DataException("leading dimension of numarray is too small"); |
| 425 |
// |
| 426 |
int dataPoint = 0; |
| 427 |
for (int sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 428 |
for (int dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 429 |
DataArrayView dataPointView = getDataPoint(sampleNo, dataPointNo); |
| 430 |
if (dataPointRank==0) { |
| 431 |
dataPointView()=extract<double>(value[dataPoint]); |
| 432 |
} else if (dataPointRank==1) { |
| 433 |
for (int i=0; i<dataPointShape[0]; i++) { |
| 434 |
dataPointView(i)=extract<double>(value[dataPoint][i]); |
| 435 |
} |
| 436 |
} else if (dataPointRank==2) { |
| 437 |
for (int i=0; i<dataPointShape[0]; i++) { |
| 438 |
for (int j=0; j<dataPointShape[1]; j++) { |
| 439 |
dataPointView(i,j)=extract<double>(value[dataPoint][i][j]); |
| 440 |
} |
| 441 |
} |
| 442 |
} else if (dataPointRank==3) { |
| 443 |
for (int i=0; i<dataPointShape[0]; i++) { |
| 444 |
for (int j=0; j<dataPointShape[1]; j++) { |
| 445 |
for (int k=0; k<dataPointShape[2]; k++) { |
| 446 |
dataPointView(i,j,k)=extract<double>(value[dataPoint][i][j][k]); |
| 447 |
} |
| 448 |
} |
| 449 |
} |
| 450 |
} else if (dataPointRank==4) { |
| 451 |
for (int i=0; i<dataPointShape[0]; i++) { |
| 452 |
for (int j=0; j<dataPointShape[1]; j++) { |
| 453 |
for (int k=0; k<dataPointShape[2]; k++) { |
| 454 |
for (int l=0; l<dataPointShape[3]; l++) { |
| 455 |
dataPointView(i,j,k,l)=extract<double>(value[dataPoint][i][j][k][l]); |
| 456 |
} |
| 457 |
} |
| 458 |
} |
| 459 |
} |
| 460 |
} |
| 461 |
dataPoint++; |
| 462 |
} |
| 463 |
} |
| 464 |
} |
| 465 |
void |
| 466 |
DataExpanded::eigenvalues(DataAbstract* ev) |
| 467 |
{ |
| 468 |
int sampleNo,dataPointNo; |
| 469 |
int numSamples = getNumSamples(); |
| 470 |
int numDataPointsPerSample = getNumDPPSample(); |
| 471 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 472 |
if (temp_ev==0) { |
| 473 |
throw DataException("Error - DataExpanded::eigenvalues: casting to DataExpanded failed (propably a programming error)."); |
| 474 |
} |
| 475 |
DataArrayView& thisView=getPointDataView(); |
| 476 |
DataArrayView& evView=ev->getPointDataView(); |
| 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 |
DataArrayView::eigenvalues(thisView,getPointOffset(sampleNo,dataPointNo), |
| 481 |
evView,ev->getPointOffset(sampleNo,dataPointNo)); |
| 482 |
} |
| 483 |
} |
| 484 |
} |
| 485 |
void |
| 486 |
DataExpanded::eigenvalues_and_eigenvectors(DataAbstract* ev,DataAbstract* V,const double tol) |
| 487 |
{ |
| 488 |
int numSamples = getNumSamples(); |
| 489 |
int numDataPointsPerSample = getNumDPPSample(); |
| 490 |
int sampleNo,dataPointNo; |
| 491 |
DataExpanded* temp_ev=dynamic_cast<DataExpanded*>(ev); |
| 492 |
if (temp_ev==0) { |
| 493 |
throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error)."); |
| 494 |
} |
| 495 |
DataExpanded* temp_V=dynamic_cast<DataExpanded*>(V); |
| 496 |
if (temp_V==0) { |
| 497 |
throw DataException("Error - DataExpanded::eigenvalues_and_eigenvectors: casting to DataExpanded failed (propably a programming error)."); |
| 498 |
} |
| 499 |
DataArrayView& thisView=getPointDataView(); |
| 500 |
DataArrayView& evView=ev->getPointDataView(); |
| 501 |
DataArrayView& VView=V->getPointDataView(); |
| 502 |
#pragma omp parallel for private(sampleNo,dataPointNo) schedule(static) |
| 503 |
for (sampleNo = 0; sampleNo < numSamples; sampleNo++) { |
| 504 |
for (dataPointNo = 0; dataPointNo < numDataPointsPerSample; dataPointNo++) { |
| 505 |
DataArrayView::eigenvalues_and_eigenvectors(thisView,getPointOffset(sampleNo,dataPointNo), |
| 506 |
evView,ev->getPointOffset(sampleNo,dataPointNo), |
| 507 |
VView,V->getPointOffset(sampleNo,dataPointNo), |
| 508 |
tol); |
| 509 |
} |
| 510 |
} |
| 511 |
} |
| 512 |
|
| 513 |
} // end of namespace |
Parent Directory
| 
Revision Log