view data/model/SparseValueModel.h @ 299:576be0d0d218

* Merge transform directory from sv-match-alignment branch
  (the previous comment included notes for this stuff, but I missed it
  in the actual merge)
* Fix crash when a transform fails to create an output model and the
  thread that created the transform then deletes its input model thinking
  it's no longer needed, even though the transform run thread is still
  using it -- fix is to wait() on the transform before returning the
  null output model

/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */

/*
    Sonic Visualiser
    An audio file viewer and annotation editor.
    Centre for Digital Music, Queen Mary, University of London.
    This file copyright 2006 Chris Cannam.
    
    This program is free software; you can redistribute it and/or
    modify it under the terms of the GNU General Public License as
    published by the Free Software Foundation; either version 2 of the
    License, or (at your option) any later version.  See the file
    COPYING included with this distribution for more information.
*/

#ifndef _SPARSE_VALUE_MODEL_H_
#define _SPARSE_VALUE_MODEL_H_

#include "SparseModel.h"
#include "base/UnitDatabase.h"

#include <cmath>

/**
 * Model containing sparse data (points with some properties) of which
 * one of the properties is an arbitrary float value.  The other
 * properties depend on the point type.
 */

template <typename PointType>
class SparseValueModel : public SparseModel<PointType>
{
public:
    SparseValueModel(size_t sampleRate, size_t resolution,
		     bool notifyOnAdd = true) :
	SparseModel<PointType>(sampleRate, resolution, notifyOnAdd),
	m_valueMinimum(0.f),
	m_valueMaximum(0.f),
        m_haveExtents(false)
    { }

    SparseValueModel(size_t sampleRate, size_t resolution,
		     float valueMinimum, float valueMaximum,
		     bool notifyOnAdd = true) :
	SparseModel<PointType>(sampleRate, resolution, notifyOnAdd),
	m_valueMinimum(valueMinimum),
	m_valueMaximum(valueMaximum),
        m_haveExtents(true)
    { }

    using SparseModel<PointType>::m_points;
    using SparseModel<PointType>::modelChanged;

    virtual float getValueMinimum() const { return m_valueMinimum; }
    virtual float getValueMaximum() const { return m_valueMaximum; }

    virtual QString getScaleUnits() const { return m_units; }
    virtual void setScaleUnits(QString units) {
        m_units = units;
        UnitDatabase::getInstance()->registerUnit(units);
    }

    virtual void addPoint(const PointType &point)
    {
	bool allChange = false;

        if (!std::isnan(point.value) && !std::isinf(point.value)) {
            if (!m_haveExtents || point.value < m_valueMinimum) {
                m_valueMinimum = point.value; allChange = true;
//                std::cerr << "addPoint: value min = " << m_valueMinimum << std::endl;
            }
            if (!m_haveExtents || point.value > m_valueMaximum) {
                m_valueMaximum = point.value; allChange = true;
//                std::cerr << "addPoint: value max = " << m_valueMaximum << " (min = " << m_valueMinimum << ")" << std::endl;
            }
            m_haveExtents = true;
        }

	SparseModel<PointType>::addPoint(point);
	if (allChange) emit modelChanged();
    }

    virtual void deletePoint(const PointType &point)
    {
	SparseModel<PointType>::deletePoint(point);

	if (point.value == m_valueMinimum ||
	    point.value == m_valueMaximum) {

	    float formerMin = m_valueMinimum, formerMax = m_valueMaximum;

	    for (typename SparseModel<PointType>::PointList::const_iterator i
		     = m_points.begin();
		 i != m_points.end(); ++i) {

		if (i == m_points.begin() || i->value < m_valueMinimum) {
		    m_valueMinimum = i->value;
//                    std::cerr << "deletePoint: value min = " << m_valueMinimum << std::endl;
		} 
		if (i == m_points.begin() || i->value > m_valueMaximum) {
		    m_valueMaximum = i->value;
//                    std::cerr << "deletePoint: value max = " << m_valueMaximum << std::endl;
		} 
	    }

	    if (formerMin != m_valueMinimum || formerMax != m_valueMaximum) {
		emit modelChanged();
	    }
	}
    }

    virtual QString toXmlString(QString indent = "",
				QString extraAttributes = "") const
    {
	return SparseModel<PointType>::toXmlString
	    (indent,
	     QString("%1 minimum=\"%2\" maximum=\"%3\" units=\"%4\"")
	     .arg(extraAttributes).arg(m_valueMinimum).arg(m_valueMaximum)
             .arg(this->encodeEntities(m_units)));
    }

protected:
    float m_valueMinimum;
    float m_valueMaximum;
    bool m_haveExtents;
    QString m_units;
};


#endif