| 1 | /* -*- mode: C++ ; c-file-style: "stroustrup" -*- ***************************** | 
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| 2 | * Qwt Widget Library | 
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| 3 | * Copyright (C) 1997   Josef Wilgen | 
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| 4 | * Copyright (C) 2002   Uwe Rathmann | 
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| 5 | * | 
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| 6 | * This library is free software; you can redistribute it and/or | 
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| 7 | * modify it under the terms of the Qwt License, Version 1.0 | 
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| 8 | *****************************************************************************/ | 
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| 9 |  | 
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| 10 | #include "qwt_matrix_raster_data.h" | 
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| 11 | #include <qnumeric.h> | 
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| 12 | #include <qmath.h> | 
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| 13 |  | 
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| 14 | class QwtMatrixRasterData::PrivateData | 
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| 15 | { | 
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| 16 | public: | 
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| 17 | PrivateData(): | 
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| 18 | resampleMode(QwtMatrixRasterData::NearestNeighbour), | 
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| 19 | numColumns(0) | 
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| 20 | { | 
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| 21 | } | 
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| 22 |  | 
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| 23 | inline double value(size_t row, size_t col) const | 
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| 24 | { | 
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| 25 | return values.data()[ row * numColumns + col ]; | 
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| 26 | } | 
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| 27 |  | 
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| 28 | QwtMatrixRasterData::ResampleMode resampleMode; | 
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| 29 |  | 
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| 30 | QVector<double> values; | 
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| 31 | size_t numColumns; | 
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| 32 | size_t numRows; | 
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| 33 |  | 
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| 34 | double dx; | 
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| 35 | double dy; | 
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| 36 | }; | 
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| 37 |  | 
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| 38 | //! Constructor | 
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| 39 | QwtMatrixRasterData::QwtMatrixRasterData() | 
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| 40 | { | 
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| 41 | d_data = new PrivateData(); | 
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| 42 | update(); | 
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| 43 | } | 
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| 44 |  | 
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| 45 | //! Destructor | 
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| 46 | QwtMatrixRasterData::~QwtMatrixRasterData() | 
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| 47 | { | 
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| 48 | delete d_data; | 
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| 49 | } | 
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| 50 |  | 
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| 51 | /*! | 
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| 52 | \brief Set the resampling algorithm | 
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| 53 |  | 
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| 54 | \param mode Resampling mode | 
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| 55 | \sa resampleMode(), value() | 
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| 56 | */ | 
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| 57 | void QwtMatrixRasterData::setResampleMode(ResampleMode mode) | 
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| 58 | { | 
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| 59 | d_data->resampleMode = mode; | 
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| 60 | } | 
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| 61 |  | 
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| 62 | /*! | 
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| 63 | \return resampling algorithm | 
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| 64 | \sa setResampleMode(), value() | 
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| 65 | */ | 
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| 66 | QwtMatrixRasterData::ResampleMode QwtMatrixRasterData::resampleMode() const | 
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| 67 | { | 
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| 68 | return d_data->resampleMode; | 
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| 69 | } | 
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| 70 |  | 
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| 71 | /*! | 
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| 72 | \brief Assign the bounding interval for an axis | 
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| 73 |  | 
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| 74 | Setting the bounding intervals for the X/Y axis is mandatory | 
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| 75 | to define the positions for the values of the value matrix. | 
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| 76 | The interval in Z direction defines the possible range for | 
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| 77 | the values in the matrix, what is f.e used by QwtPlotSpectrogram | 
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| 78 | to map values to colors. The Z-interval might be the bounding | 
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| 79 | interval of the values in the matrix, but usually it isn't. | 
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| 80 | ( f.e a interval of 0.0-100.0 for values in percentage ) | 
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| 81 |  | 
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| 82 | \param axis X, Y or Z axis | 
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| 83 | \param interval Interval | 
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| 84 |  | 
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| 85 | \sa QwtRasterData::interval(), setValueMatrix() | 
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| 86 | */ | 
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| 87 | void QwtMatrixRasterData::setInterval( | 
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| 88 | Qt::Axis axis, const QwtInterval &interval ) | 
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| 89 | { | 
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| 90 | QwtRasterData::setInterval( axis, interval ); | 
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| 91 | update(); | 
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| 92 | } | 
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| 93 |  | 
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| 94 | /*! | 
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| 95 | \brief Assign a value matrix | 
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| 96 |  | 
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| 97 | The positions of the values are calculated by dividing | 
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| 98 | the bounding rectangle of the X/Y intervals into equidistant | 
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| 99 | rectangles ( pixels ). Each value corresponds to the center of | 
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| 100 | a pixel. | 
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| 101 |  | 
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| 102 | \param values Vector of values | 
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| 103 | \param numColumns Number of columns | 
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| 104 |  | 
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| 105 | \sa valueMatrix(), numColumns(), numRows(), setInterval()() | 
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| 106 | */ | 
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| 107 | void QwtMatrixRasterData::setValueMatrix( | 
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| 108 | const QVector<double> &values, size_t numColumns ) | 
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| 109 | { | 
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| 110 | d_data->values = values; | 
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| 111 | d_data->numColumns = numColumns; | 
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| 112 | update(); | 
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| 113 | } | 
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| 114 |  | 
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| 115 | /*! | 
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| 116 | \return Value matrix | 
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| 117 | \sa setValueMatrix(), numColumns(), numRows(), setInterval() | 
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| 118 | */ | 
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| 119 | const QVector<double> QwtMatrixRasterData::valueMatrix() const | 
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| 120 | { | 
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| 121 | return d_data->values; | 
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| 122 | } | 
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| 123 |  | 
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| 124 | /*! | 
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| 125 | \return Number of columns of the value matrix | 
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| 126 | \sa valueMatrix(), numRows(), setValueMatrix() | 
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| 127 | */ | 
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| 128 | size_t QwtMatrixRasterData::numColumns() const | 
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| 129 | { | 
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| 130 | return d_data->numColumns; | 
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| 131 | } | 
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| 132 |  | 
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| 133 | /*! | 
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| 134 | \return Number of rows of the value matrix | 
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| 135 | \sa valueMatrix(), numColumns(), setValueMatrix() | 
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| 136 | */ | 
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| 137 | size_t QwtMatrixRasterData::numRows() const | 
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| 138 | { | 
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| 139 | return d_data->numRows; | 
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| 140 | } | 
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| 141 |  | 
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| 142 | /*! | 
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| 143 | \brief Pixel hint | 
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| 144 |  | 
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| 145 | - NearestNeighbour\n | 
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| 146 | pixelHint() returns the surrounding pixel of the top left value | 
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| 147 | in the matrix. | 
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| 148 |  | 
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| 149 | - BilinearInterpolation\n | 
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| 150 | Returns an empty rectangle recommending | 
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| 151 | to render in target device ( f.e. screen ) resolution. | 
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| 152 |  | 
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| 153 | \sa ResampleMode, setMatrix(), setInterval() | 
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| 154 | */ | 
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| 155 | QRectF QwtMatrixRasterData::pixelHint( const QRectF & ) const | 
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| 156 | { | 
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| 157 | QRectF rect; | 
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| 158 | if ( d_data->resampleMode == NearestNeighbour ) | 
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| 159 | { | 
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| 160 | const QwtInterval intervalX = interval( Qt::XAxis ); | 
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| 161 | const QwtInterval intervalY = interval( Qt::YAxis ); | 
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| 162 | if ( intervalX.isValid() && intervalY.isValid() ) | 
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| 163 | { | 
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| 164 | rect = QRectF( intervalX.minValue(), intervalY.minValue(), | 
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| 165 | d_data->dx, d_data->dy ); | 
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| 166 | } | 
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| 167 | } | 
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| 168 |  | 
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| 169 | return rect; | 
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| 170 | } | 
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| 171 |  | 
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| 172 | /*! | 
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| 173 | \return the value at a raster position | 
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| 174 |  | 
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| 175 | \param x X value in plot coordinates | 
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| 176 | \param y Y value in plot coordinates | 
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| 177 |  | 
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| 178 | \sa ResampleMode | 
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| 179 | */ | 
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| 180 | double QwtMatrixRasterData::value( double x, double y ) const | 
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| 181 | { | 
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| 182 | const QwtInterval xInterval = interval( Qt::XAxis ); | 
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| 183 | const QwtInterval yInterval = interval( Qt::YAxis ); | 
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| 184 |  | 
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| 185 | if ( !( xInterval.contains(x) && yInterval.contains(y) ) ) | 
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| 186 | return qQNaN(); | 
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| 187 |  | 
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| 188 | double value; | 
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| 189 |  | 
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| 190 | switch( d_data->resampleMode ) | 
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| 191 | { | 
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| 192 | case BilinearInterpolation: | 
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| 193 | { | 
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| 194 | int col1 = qRound( (x - xInterval.minValue() ) / d_data->dx ) - 1; | 
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| 195 | int row1 = qRound( (y - yInterval.minValue() ) / d_data->dy ) - 1; | 
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| 196 | int col2 = col1 + 1; | 
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| 197 | int row2 = row1 + 1; | 
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| 198 |  | 
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| 199 | if ( col1 < 0 ) | 
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| 200 | col1 = col2; | 
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| 201 | else if ( col2 >= (int)d_data->numColumns ) | 
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| 202 | col2 = col1; | 
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| 203 |  | 
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| 204 | if ( row1 < 0 ) | 
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| 205 | row1 = row2; | 
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| 206 | else if ( row2 >= (int)d_data->numRows ) | 
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| 207 | row2 = row1; | 
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| 208 |  | 
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| 209 | const double v11 = d_data->value( row1, col1 ); | 
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| 210 | const double v21 = d_data->value( row1, col2 ); | 
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| 211 | const double v12 = d_data->value( row2, col1 ); | 
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| 212 | const double v22 = d_data->value( row2, col2 ); | 
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| 213 |  | 
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| 214 | const double x2 = xInterval.minValue() + | 
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| 215 | ( col2 + 0.5 ) * d_data->dx; | 
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| 216 | const double y2 = yInterval.minValue() + | 
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| 217 | ( row2 + 0.5 ) * d_data->dy; | 
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| 218 |  | 
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| 219 | const double rx = ( x2 - x ) / d_data->dx; | 
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| 220 | const double ry = ( y2 - y ) / d_data->dy; | 
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| 221 |  | 
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| 222 | const double vr1 = rx * v11 + ( 1.0 - rx ) * v21; | 
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| 223 | const double vr2 = rx * v12 + ( 1.0 - rx ) * v22; | 
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| 224 |  | 
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| 225 | value = ry * vr1 + ( 1.0 - ry ) * vr2; | 
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| 226 |  | 
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| 227 | break; | 
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| 228 | } | 
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| 229 | case NearestNeighbour: | 
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| 230 | default: | 
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| 231 | { | 
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| 232 | uint row = uint( (y - yInterval.minValue() ) / d_data->dy ); | 
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| 233 | uint col = uint( (x - xInterval.minValue() ) / d_data->dx ); | 
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| 234 |  | 
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| 235 | // In case of intervals, where the maximum is included | 
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| 236 | // we get out of bound for row/col, when the value for the | 
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| 237 | // maximum is requested. Instead we return the value | 
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| 238 | // from the last row/col | 
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| 239 |  | 
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| 240 | if ( row >= d_data->numRows ) | 
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| 241 | row = d_data->numRows - 1; | 
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| 242 |  | 
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| 243 | if ( col >= d_data->numColumns ) | 
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| 244 | col = d_data->numColumns - 1; | 
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| 245 |  | 
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| 246 | value = d_data->value( row, col ); | 
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| 247 | } | 
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| 248 | } | 
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| 249 |  | 
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| 250 | return value; | 
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| 251 | } | 
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| 252 |  | 
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| 253 | void QwtMatrixRasterData::update() | 
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| 254 | { | 
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| 255 | d_data->numRows = 0; | 
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| 256 | d_data->dx = 0.0; | 
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| 257 | d_data->dy = 0.0; | 
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| 258 |  | 
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| 259 | if ( d_data->numColumns > 0 ) | 
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| 260 | { | 
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| 261 | d_data->numRows = d_data->values.size() / d_data->numColumns; | 
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| 262 |  | 
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| 263 | const QwtInterval xInterval = interval( Qt::XAxis ); | 
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| 264 | const QwtInterval yInterval = interval( Qt::YAxis ); | 
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| 265 | if ( xInterval.isValid() ) | 
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| 266 | d_data->dx = xInterval.width() / d_data->numColumns; | 
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| 267 | if ( yInterval.isValid() ) | 
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| 268 | d_data->dy = yInterval.width() / d_data->numRows; | 
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| 269 | } | 
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| 270 | } | 
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