<?php

/**
 * JPGraph v3.6.20
 */

namespace Amenadiel\JpGraph\Plot;

/**
 * File:        JPGRAPH_MESHINTERPOLATE.INC.PHP
 * // Description: Utility class to do mesh linear interpolation of a matrix
 * // Created:     2009-03-09
 * // Ver:         $Id: jpgraph_meshinterpolate.inc.php 1709 2009-07-30 08:00:08Z ljp $
 * //
 * // Copyright (c) Asial Corporation. All rights reserved.
 *
 * @param mixed $aFactor
 */

/**
 * Utility function to do linear mesh interpolation.
 *
 * @param $aDat Matrix to interpolate
 * @param $aFactor Interpolation factor
 */
function doMeshInterpolate(&$aData, $aFactor)
{
    $m     = new MeshInterpolate();
    $aData = $m->Linear($aData, $aFactor);
}

/**
 * Utility class to interpolate a given data matrix.
 */
class MeshInterpolate
{
    private $data = [];

    /**
     * Calculate the mid points of the given rectangle which has its top left
     * corner at $row,$col. The $aFactordecides how many spliots should be done.
     * i.e. how many more divisions should be done recursively.
     *
     * @param $row Top left corner of square to work with
     * @param $col Top left corner of square to work with
     * $param $aFactor In how many subsquare should we split this square. A value of 1 indicates that no action
     * @param mixed $aRow
     * @param mixed $aCol
     * @param mixed $aFactor
     */
    public function IntSquare($aRow, $aCol, $aFactor)
    {
        if ($aFactor <= 1) {
            return;
        }

        $step = pow(2, $aFactor - 1);

        $v0 = $this->data[$aRow][$aCol];
        $v1 = $this->data[$aRow][$aCol + $step];
        $v2 = $this->data[$aRow + $step][$aCol];
        $v3 = $this->data[$aRow + $step][$aCol + $step];

        $this->data[$aRow][$aCol + $step / 2]             = ($v0 + $v1) / 2;
        $this->data[$aRow + $step / 2][$aCol]             = ($v0 + $v2) / 2;
        $this->data[$aRow + $step][$aCol + $step / 2]     = ($v2 + $v3) / 2;
        $this->data[$aRow + $step / 2][$aCol + $step]     = ($v1 + $v3) / 2;
        $this->data[$aRow + $step / 2][$aCol + $step / 2] = ($v0 + $v1 + $v2 + $v3) / 4;

        $this->IntSquare($aRow, $aCol, $aFactor - 1);
        $this->IntSquare($aRow, $aCol + $step / 2, $aFactor - 1);
        $this->IntSquare($aRow + $step / 2, $aCol, $aFactor - 1);
        $this->IntSquare($aRow + $step / 2, $aCol + $step / 2, $aFactor - 1);
    }

    /**
     * Interpolate values in a matrice so that the total number of data points
     * in vert and horizontal axis are $aIntNbr more. For example $aIntNbr=2 will
     * make the data matrice have tiwce as many vertical and horizontal dta points.
     *
     * Note: This will blow up the matrcide in memory size in the order of $aInNbr^2
     *
     * @param  $ &$aData The original data matricde
     * @param  $aInNbr Interpolation factor
     * @param mixed $aIntFactor
     *
     * @return the interpolated matrice
     */
    public function Linear(&$aData, $aIntFactor)
    {
        $step = pow(2, $aIntFactor - 1);

        $orig_cols = safe_count($aData[0]);
        $orig_rows = safe_count($aData);
        // Number of new columns/rows
        // N = (a-1) * 2^(f-1) + 1
        $p        = pow(2, $aIntFactor - 1);
        $new_cols = $p * ($orig_cols - 1) + 1;
        $new_rows = $p * ($orig_rows - 1) + 1;

        $this->data = array_fill(0, $new_rows, array_fill(0, $new_cols, 0));
        // Initialize the new matrix with the values that we know
        for ($i = 0; $i < $new_rows; ++$i) {
            for ($j = 0; $j < $new_cols; ++$j) {
                $v = 0;
                if (($i % $step == 0) && ($j % $step == 0)) {
                    $v = $aData[$i / $step][$j / $step];
                }
                $this->data[$i][$j] = $v;
            }
        }

        for ($i = 0; $i < $new_rows - 1; $i += $step) {
            for ($j = 0; $j < $new_cols - 1; $j += $step) {
                $this->IntSquare($i, $j, $aIntFactor);
            }
        }

        return $this->data;
    }
}
