norm_linear.hpp

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#ifndef GENESIS_UTILS_COLOR_NORM_LINEAR_H_
#define GENESIS_UTILS_COLOR_NORM_LINEAR_H_
 
/*
    Genesis - A toolkit for working with phylogenetic data.
    Copyright (C) 2014-2023 Lucas Czech
 
    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 3 of the License, or
    (at your option) any later version.
 
    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.
 
    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
    Contact:
    Lucas Czech <lczech@carnegiescience.edu>
    Department of Plant Biology, Carnegie Institution For Science
    260 Panama Street, Stanford, CA 94305, USA
*/
 
#include "genesis/utils/text/string.hpp"
#include "genesis/utils/color/color.hpp"
#include "genesis/utils/color/map.hpp"
#include "genesis/utils/color/normalization.hpp"
#include "genesis/utils/tools/tickmarks.hpp"
 
#include <cassert>
#include <cmath>
#include <limits>
#include <map>
#include <stdexcept>
#include <string>
#include <vector>
 
namespace genesis {
namespace utils {
 
// =================================================================================================
//     Color Normalization
// =================================================================================================
 
class ColorNormalizationLinear
    : public ColorNormalization
{
public:
 
    // -------------------------------------------------------------------------
    //     Constructors and Rule of Five
    // -------------------------------------------------------------------------
 
    ColorNormalizationLinear() = default;
 
    ColorNormalizationLinear( double min, double max )
        : min_value_( min )
        , max_value_( max )
    {
        ColorNormalizationLinear::is_valid_or_throw_();
    }
 
    explicit ColorNormalizationLinear( std::vector<double> const& values )
    {
        autoscale( values.begin(), values.end() );
    }
 
    template <class ForwardIterator>
    ColorNormalizationLinear( ForwardIterator first, ForwardIterator last )
    {
        autoscale( first, last );
    }
 
    virtual ~ColorNormalizationLinear() override = default;
 
    ColorNormalizationLinear(ColorNormalizationLinear const&) = default;
    ColorNormalizationLinear(ColorNormalizationLinear&&)      = default;
 
    ColorNormalizationLinear& operator= (ColorNormalizationLinear const&) = default;
    ColorNormalizationLinear& operator= (ColorNormalizationLinear&&)      = default;
 
    // -------------------------------------------------------------------------
    //     Accessors
    // -------------------------------------------------------------------------
 
    double min_value() const
    {
        return min_value_;
    }
 
    double max_value() const
    {
        return max_value_;
    }
 
    // -------------------------------------------------------------------------
    //     Modificators
    // -------------------------------------------------------------------------
 
    ColorNormalizationLinear& scale( double min, double max )
    {
        min_value_ = min;
        max_value_ = max;
        update_hook_( min, max );
        return *this;
    }
 
    ColorNormalizationLinear& autoscale( std::vector<double> const& values )
    {
        return autoscale( values.begin(), values.end() );
    }
 
    ColorNormalizationLinear& autoscale_min( std::vector<double> const& values )
    {
        return autoscale_min( values.begin(), values.end() );
    }
 
    ColorNormalizationLinear& autoscale_max( std::vector<double> const& values )
    {
        return autoscale_max( values.begin(), values.end() );
    }
 
    template <class ForwardIterator>
    ColorNormalizationLinear& autoscale( ForwardIterator first, ForwardIterator last )
    {
        autoscale_( first, last, true, true );
        return *this;
    }
 
    template <class ForwardIterator>
    ColorNormalizationLinear& autoscale_min( ForwardIterator first, ForwardIterator last )
    {
        autoscale_( first, last, true, false );
        return *this;
    }
 
    template <class ForwardIterator>
    ColorNormalizationLinear& autoscale_max( ForwardIterator first, ForwardIterator last )
    {
        autoscale_( first, last, false, true );
        return *this;
    }
 
    ColorNormalizationLinear& min_value( double value )
    {
        min_value_ = value;
        ColorNormalizationLinear::update_hook_( min_value_, max_value_ );
        return *this;
    }
 
    ColorNormalizationLinear& max_value( double value )
    {
        max_value_ = value;
        ColorNormalizationLinear::update_hook_( min_value_, max_value_ );
        return *this;
    }
 
    // -------------------------------------------------------------------------
    //     Internal Helper Functions
    // -------------------------------------------------------------------------
 
protected:
 
    template <class ForwardIterator>
    ColorNormalizationLinear& autoscale_(
        ForwardIterator first, ForwardIterator last,
        bool set_min, bool set_max
    ) {
        // New values, so that we first do not override the current ones.
        auto min = std::numeric_limits<double>::max();
        auto max = std::numeric_limits<double>::lowest();
 
        size_t cnt = 0;
        while( first != last ) {
            if( ! std::isfinite( *first ) || *first == mask_value() ) {
                ++first;
                continue;
            }
            if( *first < min ) {
                min = *first;
            }
            if( *first > max ) {
                max = *first;
            }
 
            ++cnt;
            ++first;
        }
 
        // Only update if we found values.
        if( cnt == 0 ) {
            return *this;
        }
 
        // Set the values simply to what we found.
        if( set_min ) {
            min_value_ = min;
        }
        if( set_max ) {
            max_value_ = max;
        }
        ColorNormalizationLinear::update_hook_( min, max );
 
        return *this;
    }
 
    // -------------------------------------------------------------------------
    //     (Pure) Virtual Functions
    // -------------------------------------------------------------------------
 
protected:
 
    virtual bool is_valid_() const override
    {
        return min_value_ < max_value_;
    }
 
    virtual void is_valid_or_throw_() const
    {
        if( min_value_ >= max_value_ ) {
            throw std::runtime_error( "Invalid Color Normalization with min >= max." );
        }
    }
 
    virtual double normalize_( double value ) const override
    {
        // Make sure that the norm is set up correctly.
        is_valid_or_throw_();
 
        // Extreme cases.
        if( value < min_value_ ) {
            return -1.0;
        }
        if( value > max_value_ ) {
            return 2.0;
        }
        assert( min_value_ <= value && value <= max_value_ );
 
        // Bring value into the range [ 0.0, 1.0 ].
        auto const pos = ( value - min_value_ ) / ( max_value_ - min_value_ );
        return pos;
    }
 
    virtual void update_hook_( double min, double max )
    {
        // Nothing to do for this class.
        (void) min;
        (void) max;
    }
 
    // -------------------------------------------------------------------------
    //     Data Members
    // -------------------------------------------------------------------------
 
private:
 
    double min_value_  = 0.0;
    double max_value_  = 1.0;
 
};
 
} // namespace utils
} // namespace genesis
 
#endif // include guard