void JSONSerializer::SerializeStubNode(
rapidjson::Value& nodeValue, const shared_ptr<StubNode>& node)
{
const string& f = node->mSource.Get();
rapidjson::Value slotValue(rapidjson::kObjectType);
nodeValue.AddMember("source", f, *mAllocator);
}
void DlgSettingsColorFilter::createControls (QGridLayout *layout, int &row)
{
LOG4CPP_INFO_S ((*mainCat)) << "DlgSettingsColorFilter::createControls";
QLabel *labelCurve = new QLabel ("Curve Name:");
layout->addWidget (labelCurve, row++, 1);
m_cmbCurveName = new QComboBox ();
m_cmbCurveName->setWhatsThis (tr ("Name of the curve that is currently selected for editing"));
connect (m_cmbCurveName, SIGNAL (activated (const QString &)), this, SLOT (slotCurveName (const QString &))); // activated() ignores code changes
layout->addWidget (m_cmbCurveName, row++, 1);
QLabel *labelProfile = new QLabel ("Filter mode:");
layout->addWidget (labelProfile, row++, 1);
m_btnIntensity = new QRadioButton (colorFilterModeToString (COLOR_FILTER_MODE_INTENSITY));
m_btnIntensity->setWhatsThis (tr ("Filter the original image into black and white pixels using the Intensity parameter, "
"to hide unimportant information and emphasize important information.\n\n"
"The Intensity value of a pixel is computed from the red, green "
"and blue components as I = squareroot (R * R + G * G + B * B)"));
connect (m_btnIntensity, SIGNAL (released ()), this, SLOT (slotIntensity ()));
layout->addWidget (m_btnIntensity, row++, 1);
m_btnForeground = new QRadioButton (colorFilterModeToString (COLOR_FILTER_MODE_FOREGROUND));
m_btnForeground->setWhatsThis (tr ("Filter the original image into black and white pixels by isolating the foreground from the background, "
"to hide unimportant information and emphasize important information.\n\n"
"The background color is shown on the left side of the scale bar.\n\n"
"The distance of any color (R, G, B) from the background color (Rb, Gb, Bb) is computed as "
"F = squareroot ((R - Rb) * (R - Rb) + (G - Gb) * (G - Gb) + (B - Bb)). On the left end of the "
"scale, the foreground distance value is zero, and it increases linearly to the maximum on the far right."));
connect (m_btnForeground, SIGNAL (released ()), this, SLOT (slotForeground ()));
layout->addWidget (m_btnForeground, row++, 1);
m_btnHue = new QRadioButton (colorFilterModeToString (COLOR_FILTER_MODE_HUE));
m_btnHue->setWhatsThis (tr ("Filter the original image into black and white pixels using the Hue component of the "
"Hue, Saturation and Value (HSV) color components, "
"to hide unimportant information and emphasize important information."));
connect (m_btnHue, SIGNAL (released ()), this, SLOT (slotHue ()));
layout->addWidget (m_btnHue, row++, 1);
m_btnSaturation = new QRadioButton (colorFilterModeToString (COLOR_FILTER_MODE_SATURATION));
m_btnSaturation->setWhatsThis (tr ("Filter the original image into black and white pixels using the Saturation component of the "
"Hue, Saturation and Value (HSV) color components, "
"to hide unimportant information and emphasize important information."));
connect (m_btnSaturation, SIGNAL (released ()), this, SLOT (slotSaturation ()));
layout->addWidget (m_btnSaturation, row++, 1);
m_btnValue = new QRadioButton (colorFilterModeToString (COLOR_FILTER_MODE_VALUE));
m_btnValue->setWhatsThis (tr ("Filter the original image into black and white pixels using the Value component of the "
"Hue, Saturation and Value (HSV) color components, "
"to hide unimportant information and emphasize important information.\n\n"
"The Value component is also called the Lightness."));
connect (m_btnValue, SIGNAL (released ()), this, SLOT (slotValue ()));
layout->addWidget (m_btnValue, row++, 1);
}
void omxFillMatrixFromMxFitFunction(omxMatrix* om, int matrixNumber, SEXP rObj)
{
om->hasMatrixNumber = TRUE;
om->matrixNumber = matrixNumber;
ProtectedSEXP fitFunctionClass(STRING_ELT(Rf_getAttrib(rObj, R_ClassSymbol), 0));
const char *fitType = CHAR(fitFunctionClass);
omxExpectation *expect = NULL;
ProtectedSEXP slotValue(R_do_slot(rObj, Rf_install("expectation")));
if (Rf_length(slotValue) == 1) {
int expNumber = Rf_asInteger(slotValue);
if(expNumber != NA_INTEGER) {
expect = omxExpectationFromIndex(expNumber, om->currentState);
}
}
bool rowLik = Rf_asInteger(R_do_slot(rObj, Rf_install("vector")));
omxFitFunction *ff =
omxNewInternalFitFunction(om->currentState, fitType, expect, om, rowLik);
ff->rObj = rObj;
}
