FM / trend

/var/www/vhosts/bsbdokum.com.tr/httpdocs/app/Addition/PHPExcel/PHPExcel/Shared/trend/

/var/www/vhosts/bsbdokum.com.tr/httpdocs/app/Addition/PHPExcel/PHPExcel/Shared/trend

Name	Size	Mode	Actions
bestFitClass.php	11802	0644	edit dl rm
exponentialBestFitClass.php	4468	0644	edit dl rm
linearBestFitClass.php	3432	0644	edit dl rm
logarithmicBestFitClass.php	3723	0644	edit dl rm
polynomialBestFitClass.php	7006	0644	edit dl rm
powerBestFitClass.php	4327	0644	edit dl rm
trendClass.php	6234	0644	edit dl rm

Edit: /var/www/vhosts/bsbdokum.com.tr/httpdocs/app/Addition/PHPExcel/PHPExcel/Shared/trend/trendClass.php (6234B)

<?php

require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/linearBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/logarithmicBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/exponentialBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/powerBestFitClass.php';
require_once PHPEXCEL_ROOT . 'PHPExcel/Shared/trend/polynomialBestFitClass.php';

/**
 * PHPExcel_trendClass
 *
 * Copyright (c) 2006 - 2015 PHPExcel
 *
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 *
 * This library 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
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 *
 * @category   PHPExcel
 * @package    PHPExcel_Shared_Trend
 * @copyright  Copyright (c) 2006 - 2015 PHPExcel (http://www.codeplex.com/PHPExcel)
 * @license    http://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt    LGPL
 * @version    ##VERSION##, ##DATE##
 */
class trendClass
{
    const TREND_LINEAR            = 'Linear';
    const TREND_LOGARITHMIC       = 'Logarithmic';
    const TREND_EXPONENTIAL       = 'Exponential';
    const TREND_POWER             = 'Power';
    const TREND_POLYNOMIAL_2      = 'Polynomial_2';
    const TREND_POLYNOMIAL_3      = 'Polynomial_3';
    const TREND_POLYNOMIAL_4      = 'Polynomial_4';
    const TREND_POLYNOMIAL_5      = 'Polynomial_5';
    const TREND_POLYNOMIAL_6      = 'Polynomial_6';
    const TREND_BEST_FIT          = 'Bestfit';
    const TREND_BEST_FIT_NO_POLY  = 'Bestfit_no_Polynomials';

/**
     * Names of the best-fit trend analysis methods
     *
     * @var string[]
     **/
    private static $trendTypes = array(
        self::TREND_LINEAR,
        self::TREND_LOGARITHMIC,
        self::TREND_EXPONENTIAL,
        self::TREND_POWER
    );

/**
     * Names of the best-fit trend polynomial orders
     *
     * @var string[]
     **/
    private static $trendTypePolynomialOrders = array(
        self::TREND_POLYNOMIAL_2,
        self::TREND_POLYNOMIAL_3,
        self::TREND_POLYNOMIAL_4,
        self::TREND_POLYNOMIAL_5,
        self::TREND_POLYNOMIAL_6
    );

/**
     * Cached results for each method when trying to identify which provides the best fit
     *
     * @var PHPExcel_Best_Fit[]
     **/
    private static $trendCache = array();

public static function calculate($trendType = self::TREND_BEST_FIT, $yValues, $xValues = array(), $const = true)
    {
        //    Calculate number of points in each dataset
        $nY = count($yValues);
        $nX = count($xValues);

//    Define X Values if necessary
        if ($nX == 0) {
            $xValues = range(1, $nY);
            $nX = $nY;
        } elseif ($nY != $nX) {
            //    Ensure both arrays of points are the same size
            trigger_error("trend(): Number of elements in coordinate arrays do not match.", E_USER_ERROR);
        }

$key = md5($trendType.$const.serialize($yValues).serialize($xValues));
        //    Determine which trend method has been requested
        switch ($trendType) {
            //    Instantiate and return the class for the requested trend method
            case self::TREND_LINEAR:
            case self::TREND_LOGARITHMIC:
            case self::TREND_EXPONENTIAL:
            case self::TREND_POWER:
                if (!isset(self::$trendCache[$key])) {
                    $className = 'PHPExcel_'.$trendType.'_Best_Fit';
                    self::$trendCache[$key] = new $className($yValues, $xValues, $const);
                }
                return self::$trendCache[$key];
            case self::TREND_POLYNOMIAL_2:
            case self::TREND_POLYNOMIAL_3:
            case self::TREND_POLYNOMIAL_4:
            case self::TREND_POLYNOMIAL_5:
            case self::TREND_POLYNOMIAL_6:
                if (!isset(self::$trendCache[$key])) {
                    $order = substr($trendType, -1);
                    self::$trendCache[$key] = new PHPExcel_Polynomial_Best_Fit($order, $yValues, $xValues, $const);
                }
                return self::$trendCache[$key];
            case self::TREND_BEST_FIT:
            case self::TREND_BEST_FIT_NO_POLY:
                //    If the request is to determine the best fit regression, then we test each trend line in turn
                //    Start by generating an instance of each available trend method
                foreach (self::$trendTypes as $trendMethod) {
                    $className = 'PHPExcel_'.$trendMethod.'BestFit';
                    $bestFit[$trendMethod] = new $className($yValues, $xValues, $const);
                    $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
                }
                if ($trendType != self::TREND_BEST_FIT_NO_POLY) {
                    foreach (self::$trendTypePolynomialOrders as $trendMethod) {
                        $order = substr($trendMethod, -1);
                        $bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order, $yValues, $xValues, $const);
                        if ($bestFit[$trendMethod]->getError()) {
                            unset($bestFit[$trendMethod]);
                        } else {
                            $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit();
                        }
                    }
                }
                //    Determine which of our trend lines is the best fit, and then we return the instance of that trend class
                arsort($bestFitValue);
                $bestFitType = key($bestFitValue);
                return $bestFit[$bestFitType];
            default:
                return false;
        }
    }
}

getGoodnessOfFit(); } if ($trendType != self::TREND_BEST_FIT_NO_POLY) { foreach (self::$trendTypePolynomialOrders as $trendMethod) { $order = substr($trendMethod, -1); $bestFit[$trendMethod] = new PHPExcel_Polynomial_Best_Fit($order, $yValues, $xValues, $const); if ($bestFit[$trendMethod]->getError()) { unset($bestFit[$trendMethod]); } else { $bestFitValue[$trendMethod] = $bestFit[$trendMethod]->getGoodnessOfFit(); } } } // Determine which of our trend lines is the best fit, and then we return the instance of that trend class arsort($bestFitValue); $bestFitType = key($bestFitValue); return $bestFit[$bestFitType]; default: return false; } } }