Current logscales fix.
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@@ -182,7 +182,6 @@ public:
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void setRange( const float min, const float max, const float step = 1 );
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void setScaleType( ScaleType sc ) {
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printf("Settings scale to: %d\n", (int)sc);
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m_scaleType = sc;
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}
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void setScaleLogarithmic( bool set_to_true = true )
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@@ -251,6 +250,10 @@ public slots:
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protected:
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//! returns a value which is in range between min() and
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//! max() and aligned according to the step size (step size 0.05 -> value
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//! 0.12345 becomes 0.10 etc.). You should always call it at the end after
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//! doing your own calculations.
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float fittedValue( float value ) const;
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@@ -268,6 +271,10 @@ private:
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void linkModel( AutomatableModel* model );
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void unlinkModel( AutomatableModel* model );
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//! @brief Scales @value from linear to logarithmic.
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//! Value should be within [0,1]
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template<class T> T log_to_linear_scale(T value) const;
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//! rounds @a value to @a where if it is close to it
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//! @param value will be modified to rounded value
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template<class T> void round_at(T &value, const T &where) const;
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@@ -246,16 +246,46 @@ void AutomatableModel::setValue( const float value )
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//! @brief Scales @value from linear to logarithmic.
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//! Value should be within [0,1]
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//! @todo This should be moved into a maths header
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template<class T> T log_to_linear_scale(T min, T max, T value)
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// we get min and max from the class => TODO
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{
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printf("scale: in: %f, out: %f\n",value, exp((log(max)-log(min)) * value + log(min)));
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return exp((log(max)-log(min)) * value + log(min));
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}
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template<class T> T AutomatableModel::log_to_linear_scale(T value) const
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{
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return ::log_to_linear_scale(minValue<float>(), maxValue<float>(), value);
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}
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//! @todo: this should be moved into a maths header
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template<class T>
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void round_at(T& value, const T& where, const T& step_size)
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{
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if( qAbs<float>( value - where )
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< typeInfo<float>::minEps() * qAbs<float>( step_size ) )
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{
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value = where;
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}
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}
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template<class T>
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void AutomatableModel::round_at(T& value, const T& where) const
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{
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::round_at(value, where, m_step);
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}
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void AutomatableModel::setAutomatedValue( const float value )
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{
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++m_setValueDepth;
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@@ -265,7 +295,6 @@ void AutomatableModel::setAutomatedValue( const float value )
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(m_scaleType == Linear)
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? value
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: log_to_linear_scale(
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minValue<float>(), maxValue<float>(),
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// fit value into [0,1]:
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(value - minValue<float>()) / maxValue<float>()
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);
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@@ -332,19 +361,6 @@ void AutomatableModel::setStep( const float step )
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template<class T>
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void AutomatableModel::round_at(T& value, const T& where) const
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{
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if( qAbs<float>( value - where )
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< typeInfo<float>::minEps() * qAbs<float>( m_step ) )
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{
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value = where;
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}
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}
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float AutomatableModel::fittedValue( float value ) const
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{
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value = tLimit<float>( value, m_minValue, m_maxValue );
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@@ -354,9 +370,9 @@ float AutomatableModel::fittedValue( float value ) const
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value = nearbyintf( value / m_step ) * m_step;
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}
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round_at(value, m_maxValue, m_step);
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round_at(value, m_minValue, m_step);
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round_at(value, 0, m_step);
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round_at(value, m_maxValue);
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round_at(value, m_minValue);
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round_at(value, 0.0f);
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if( value < m_minValue )
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{
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@@ -462,7 +478,7 @@ float AutomatableModel::controllerValue( int frameOffset ) const
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v = minValue<float>() + ( range() * controllerConnection()->currentValue( frameOffset ) );
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break;
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case Logarithmic:
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v = log_to_linear_scale(minValue<float>(), maxValue<float>(),
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v = log_to_linear_scale(
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controllerConnection()->currentValue( frameOffset ));
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break;
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default:
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