// 商店
void ShopBuyLayer::showLayout( Node* node, int tag, int labelTag )
{
if ( node && !node->getChildByName("ShopBuyLayer") )
{
auto layout = ShopBuyLayer::create();
layout->setTag( tag );
layout->setoptionLabel( labelTag );
node->addChild( layout, LocalZOrde_500, "ShopBuyLayer" );
}
else
{
auto layout = (ShopBuyLayer*)node->getChildByName("ShopBuyLayer");
layout->optionLabel( (ButtonTag)labelTag );
}
}
void ShopBuyLayer::callFuncButtonEvent( Ref* ref )
{
Button* btn = (Button*)ref;
int nTag = btn->getTag();
switch ( nTag )
{
case Tag_Back:
//removeFromParentAndCleanup( true );
GameInterfaceMgr::getInstance()->closeCurInterface();
break;
case Tag_LabelGold:
case Tag_LabelGem:
case Tag_LabelWing:
optionLabel( (ButtonTag)nTag );
break;
default:
break;
}
}
// Function definitions.
// -----------------------------------------------------------------
void mexFunction (int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[])
try {
// Check to see if we have the correct number of input and output
// arguments.
if (nrhs < minNumInputArgs)
throw MatlabException("Incorrect number of input arguments");
// Get the starting point for the variables. This is specified in
// the first input argument. The variables must be either a single
// matrix or a cell array of matrices.
int k = 0; // The index of the current input argument.
ArrayOfMatrices x0(prhs[k++]);
// Create the output, which stores the solution obtained from
// running IPOPT. There should be as many output arguments as cell
// entries in X.
if (nlhs != x0.length())
throw MatlabException("Incorrect number of output arguments");
ArrayOfMatrices x(plhs,x0);
// Load the lower and upper bounds on the variables as
// ArrayOfMatrices objects. They should have the same structure as
// the ArrayOfMatrices object "x".
ArrayOfMatrices lb(prhs[k++]);
ArrayOfMatrices ub(prhs[k++]);
// Check to make sure the bounds make sense.
if (lb != x || ub != x)
throw MatlabException("Input arguments LB and UB must have the same \
structure as X");
// Get the Matlab callback functions.
MatlabString objFunc(prhs[k++]);
MatlabString gradFunc(prhs[k++]);
// Get the auxiliary data.
const mxArray* auxData;
const mxArray* ptr = prhs[k++];
if (nrhs > 5) {
if (mxIsEmpty(ptr))
auxData = 0;
else
auxData = ptr;
}
else
auxData = 0;
// Get the intermediate callback function.
MatlabString* iterFunc;
ptr = prhs[k++];
if (nrhs > 6) {
if (mxIsEmpty(ptr))
iterFunc = 0;
else
iterFunc = new MatlabString(ptr);
}
else
iterFunc = 0;
// Set the options for the L-BFGS algorithm to their defaults.
int maxiter = defaultmaxiter;
int m = defaultm;
double factr = defaultfactr;
double pgtol = defaultpgtol;
// Process the remaining input arguments, which set options for
// the IPOPT algorithm.
while (k < nrhs) {
// Get the option label from the Matlab input argument.
MatlabString optionLabel(prhs[k++]);
if (k < nrhs) {
// Get the option value from the Matlab input argument.
MatlabScalar optionValue(prhs[k++]);
double value = optionValue;
if (!strcmp(optionLabel,"maxiter"))
maxiter = (int) value;
else if (!strcmp(optionLabel,"m"))
m = (int) value;
else if (!strcmp(optionLabel,"factr"))
factr = value / mxGetEps();
else if (!strcmp(optionLabel,"pgtol"))
pgtol = value;
else {
if (iterFunc) delete iterFunc;
throw MatlabException("Nonexistent option");
}
}
}
// Create a new instance of the optimization problem.
x = x0;
MatlabProgram program(x,lb,ub,&objFunc,&gradFunc,iterFunc,
(mxArray*) auxData,m,maxiter,factr,pgtol);
// Run the L-BFGS-B solver.
SolverExitStatus exitStatus = program.runSolver();
if (exitStatus == abnormalTermination) {
if (iterFunc) delete iterFunc;
throw MatlabException("Solver unable to satisfy convergence \
criteria due to abnormal termination");
}
else if (exitStatus == errorOnInput) {
void ShopBuyLayer::delayOptionLabel( void )
{
optionLabel( (ButtonTag)getoptionLabel() );
}
