void CBC_PDF417::generateBarcodeLogic(CFX_WideString msg,
int32_t errorCorrectionLevel,
int32_t& e) {
int32_t errorCorrectionCodeWords =
CBC_PDF417ErrorCorrection::getErrorCorrectionCodewordCount(
errorCorrectionLevel, e);
if (e != BCExceptionNO)
return;
CFX_WideString highLevel =
CBC_PDF417HighLevelEncoder::encodeHighLevel(msg, m_compaction, e);
if (e != BCExceptionNO)
return;
int32_t sourceCodeWords = highLevel.GetLength();
CFX_ArrayTemplate<int32_t>* dimension =
determineDimensions(sourceCodeWords, errorCorrectionCodeWords, e);
if (e != BCExceptionNO)
return;
int32_t cols = dimension->GetAt(0);
int32_t rows = dimension->GetAt(1);
delete dimension;
int32_t pad = getNumberOfPadCodewords(sourceCodeWords,
errorCorrectionCodeWords, cols, rows);
if (sourceCodeWords + errorCorrectionCodeWords + 1 > 929) {
e = BCExceptionEncodedMessageContainsTooManyCodeWords;
return;
}
int32_t n = sourceCodeWords + pad + 1;
CFX_WideString sb;
sb += (FX_WCHAR)n;
sb += highLevel;
for (int32_t i = 0; i < pad; i++) {
sb += (FX_WCHAR)900;
}
CFX_WideString dataCodewords(sb);
CFX_WideString ec = CBC_PDF417ErrorCorrection::generateErrorCorrection(
dataCodewords, errorCorrectionLevel, e);
if (e != BCExceptionNO)
return;
CFX_WideString fullCodewords = dataCodewords + ec;
m_barcodeMatrix = pdfium::MakeUnique<CBC_BarcodeMatrix>(rows, cols);
encodeLowLevel(fullCodewords, cols, rows, errorCorrectionLevel,
m_barcodeMatrix.get());
}
returnValue OptimizationAlgorithmBase::init( UserInteraction* _userIteraction
)
{
// EXTRACT INFORMATION PACKED IN THE DATA WRAPPER OCP:
// ---------------------------------------------------
Objective *objective ;
DifferentialEquation **differentialEquation;
Constraint *constraint ;
Grid unionGrid;
if ( extractOCPdata( &objective,&differentialEquation,&constraint,
unionGrid
) != SUCCESSFUL_RETURN )
return ACADOERROR(RET_OPTALG_INIT_FAILED);
// REFORMULATE THE OBJECTIVE IF NECESSARY:
// ---------------------------------------
if ( setupObjective( objective,differentialEquation,constraint,
unionGrid
) != SUCCESSFUL_RETURN )
return ACADOERROR(RET_OPTALG_INIT_FAILED);
// REFORMULATE THE CONSTRAINT IF NECESSARY:
// ----------------------------------------
if ( setupDifferentialEquation( objective,differentialEquation,constraint,
unionGrid
) != SUCCESSFUL_RETURN )
return ACADOERROR(RET_OPTALG_INIT_FAILED);
// DISCRETIZE THE DIFFERENTIAL EQUATION IF NECESSARY:
// --------------------------------------------------
DynamicDiscretization* dynamicDiscretization = 0;
if ( setupDynamicDiscretization( _userIteraction,
objective,differentialEquation,constraint,
unionGrid,
&dynamicDiscretization
) != SUCCESSFUL_RETURN )
return ACADOERROR(RET_OPTALG_INIT_FAILED);
// SETUP OF THE NLP SOLVER:
// ------------------------
if ( allocateNlpSolver( objective,dynamicDiscretization,constraint ) != SUCCESSFUL_RETURN )
return ACADOERROR(RET_OPTALG_INIT_FAILED);
// DETERMINE THE DIMENSIONS OF THE OPTIMIZATION VARIABLES:
// -------------------------------------------------------
uint nx = 0;
uint nxa = 0;
uint np = 0;
uint nu = 0;
uint nw = 0;
if ( determineDimensions( objective,differentialEquation,constraint, nx,nxa,np,nu,nw ) != SUCCESSFUL_RETURN )
{
if( differentialEquation != 0 ) delete differentialEquation[0];
if( objective != 0 ) delete objective ;
if( differentialEquation != 0 ) delete[] differentialEquation ;
if( constraint != 0 ) delete constraint ;
if( dynamicDiscretization != 0 ) delete dynamicDiscretization;
return ACADOERROR(RET_OPTALG_INIT_FAILED);
}
if ( initializeOCPiterate( constraint,unionGrid,nx,nxa,np,nu,nw ) != SUCCESSFUL_RETURN )
{
if( differentialEquation != 0 ) delete differentialEquation[0];
if( objective != 0 ) delete objective ;
if( differentialEquation != 0 ) delete[] differentialEquation ;
if( constraint != 0 ) delete constraint ;
if( dynamicDiscretization != 0 ) delete dynamicDiscretization;
return ACADOERROR(RET_OPTALG_INIT_FAILED);
}
// ELIMINATE EQUALITY BOUNDS: ??
// --------------------------
// changes the dimensions again !
// DEFINE MULTIPLE SHOOTING NOTES
// OR COLLOCATION NOTES IF REQUESTED:
// ----------------------------------
// ADAPT INITIALIZATION OF X AND XA ?
if( iter.p != 0 ) iter.p ->disableAutoInit();
if( iter.u != 0 ) iter.u ->disableAutoInit();
if( iter.w != 0 ) iter.w ->disableAutoInit();
// (COLLOCATION NOT IMPLEMENTED YET)
// printf("before!!!\n");
// iter.print();
// INITIALIZE THE NLP-ALGORITHM:
// -----------------------------
if ( initializeNlpSolver( iter ) != SUCCESSFUL_RETURN )
return ACADOERROR( RET_OPTALG_INIT_FAILED );
// printf("after!!!\n");
// iter.print();
// GIVE THE TEMPORARY MEMORY FREE:
// -------------------------------
if( differentialEquation != 0 ) delete differentialEquation[0];
if( objective != 0 ) delete objective ;
if( differentialEquation != 0 ) delete[] differentialEquation ;
if( constraint != 0 ) delete constraint ;
if( dynamicDiscretization != 0 ) delete dynamicDiscretization;
return SUCCESSFUL_RETURN;
}
