go_to_parameter_controller.cpp
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#include "go_to_parameter_controller.h"
#include "graph_controller.h"
#include "../apps_container.h"
#include <assert.h>
#include <float.h>
#include <cmath>
using namespace Shared;
using namespace Poincare;
namespace Regression {
GoToParameterController::GoToParameterController(Responder * parentResponder, Store * store, CurveViewCursor * cursor, GraphController * graphController) :
Shared::GoToParameterController(parentResponder, store, cursor, I18n::Message::X),
m_store(store),
m_xPrediction(true),
m_graphController(graphController)
{
}
void GoToParameterController::setXPrediction(bool xPrediction) {
m_xPrediction = xPrediction;
}
const char * GoToParameterController::title() {
if (m_xPrediction) {
return I18n::translate(I18n::Message::XPrediction);
}
return I18n::translate(I18n::Message::YPrediction);
}
double GoToParameterController::parameterAtIndex(int index) {
assert(index == 0);
if (m_xPrediction) {
return m_cursor->x();
}
return m_cursor->y();
}
bool GoToParameterController::setParameterAtIndex(int parameterIndex, double f) {
assert(parameterIndex == 0);
int series = m_graphController->selectedSeriesIndex();
if (std::fabs(f) > k_maxDisplayableFloat) {
app()->displayWarning(I18n::Message::ForbiddenValue);
return false;
}
Poincare::Context * globContext = const_cast<AppsContainer *>(static_cast<const AppsContainer *>(app()->container()))->globalContext();
double x = m_xPrediction ?
m_store->yValueForXValue(series, f, globContext) :
m_store->xValueForYValue(series, f, globContext);
// Forbidden value
if (std::fabs(x) > k_maxDisplayableFloat) {
app()->displayWarning(I18n::Message::ForbiddenValue);
return false;
}
if (std::isnan(x)) {
if (!m_xPrediction) {
x = m_cursor->x();
double yForCurrentX = m_store->modelForSeries(series)->evaluate(m_store->coefficientsForSeries(series, globContext), x);
if (std::fabs(yForCurrentX - f) < DBL_EPSILON) {
// If the computed value is NaN and the current abscissa is solution
m_graphController->selectRegressionCurve();
m_cursor->moveTo(x, yForCurrentX);
return true;
}
}
// Value not reached
app()->displayWarning(I18n::Message::ValueNotReachedByRegression);
return false;
}
m_graphController->selectRegressionCurve();
if (m_xPrediction) {
m_cursor->moveTo(f, x);
} else {
double y = m_store->modelForSeries(series)->evaluate(m_store->coefficientsForSeries(series, globContext), x);
m_cursor->moveTo(x, y);
}
m_graphRange->centerAxisAround(CurveViewRange::Axis::X, m_cursor->x());
m_graphRange->centerAxisAround(CurveViewRange::Axis::Y, m_cursor->y());
return true;
}
void GoToParameterController::willDisplayCellForIndex(HighlightCell * cell, int index) {
if (index == numberOfRows()-1) {
return;
}
MessageTableCellWithEditableText * myCell = (MessageTableCellWithEditableText *) cell;
if (m_xPrediction) {
myCell->setMessage(I18n::Message::X);
} else {
myCell->setMessage(I18n::Message::Y);
}
FloatParameterController::willDisplayCellForIndex(cell, index);
}
}