Method valueBuffer

src/core/AutomatableModel.cpp:542–620

ValueBuffer * AutomatableModel::valueBuffer()
{
	QMutexLocker m( &m_valueBufferMutex );
	// if we've already calculated the valuebuffer this period, return the cached buffer
	if( m_lastUpdatedPeriod == s_periodCounter )
	{
		return m_hasSampleExactData
			? &m_valueBuffer
			: NULL;
	}

	float val = m_value; // make sure our m_value doesn't change midway

	ValueBuffer * vb;
	if( m_controllerConnection && m_controllerConnection->getController()->isSampleExact() )
	{
		vb = m_controllerConnection->valueBuffer();
		if( vb )
		{
			float * values = vb->values();
			float * nvalues = m_valueBuffer.values();
			switch( m_scaleType )
			{
			case Linear:
				for( int i = 0; i < m_valueBuffer.length(); i++ )
				{
					nvalues[i] = minValue<float>() + ( range() * values[i] );
				}
				break;
			case Logarithmic:
				for( int i = 0; i < m_valueBuffer.length(); i++ )
				{
					nvalues[i] = logToLinearScale( values[i] );
				}
				break;
			default:
				qFatal("AutomatableModel::valueBuffer() "
					"lacks implementation for a scale type");
				break;
			}
			m_lastUpdatedPeriod = s_periodCounter;
			m_hasSampleExactData = true;
			return &m_valueBuffer;
		}
	}
	AutomatableModel* lm = NULL;
	if( m_hasLinkedModels )
	{
		lm = m_linkedModels.first();
	}
	if( lm && lm->controllerConnection() && lm->controllerConnection()->getController()->isSampleExact() )
	{
		vb = lm->valueBuffer();
		float * values = vb->values();
		float * nvalues = m_valueBuffer.values();
		for( int i = 0; i < vb->length(); i++ )
		{
			nvalues[i] = fittedValue( values[i] );