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<?php
// This file is part of Moodle - http://moodle.org/
//
// Moodle 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.
//
// Moodle 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 Moodle.  If not, see <http://www.gnu.org/licenses/>.

/**
 * Linear values target.
 *
 * @package   core_analytics
 * @copyright 2017 David Monllao {@link http://www.davidmonllao.com}
 * @license   http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
 */

namespace core_analytics\local\target;

defined('MOODLE_INTERNAL') || die();

/**
     * Are the calculated values this target returns linear values?
     *
     * @return bool
     */
    public function is_linear() {
        // Not supported yet.
        throw new \coding_exception('Sorry, this version\'s prediction processors only support targets with binary values.' .
            ' You can write your own and overwrite this method though.');
    }

/**
     * How positive is this calculated value?
     *
     * @param float $value
     * @param string $ignoredsubtype
     * @return int
     */
    public function get_calculation_outcome($value, $ignoredsubtype = false) {

// This is very generic, targets will probably be interested in overwriting this.
        $diff = static::get_max_value() - static::get_min_value();
        if (($value - static::get_min_value()) / $diff >= 0.5) {
            return self::OUTCOME_VERY_POSITIVE;
        }
        return self::OUTCOME_VERY_NEGATIVE;
    }

/**
     * Gets the maximum value for this target
     *
     * @return float
     */
    public static function get_max_value() {
        // Coding exception as this will only be called if this target have linear values.
        throw new \coding_exception('Overwrite get_max_value() and return the target max value');
    }

/**
     * Gets the minimum value for this target
     *
     * @return float
     */
    public static function get_min_value() {
        // Coding exception as this will only be called if this target have linear values.
        throw new \coding_exception('Overwrite get_min_value() and return the target min value');
    }

/**
     * This method determines if a prediction is interesing for the model or not.
     *
     * @param mixed $predictedvalue
     * @param float $predictionscore
     * @return bool
     */
    public function triggers_callback($predictedvalue, $predictionscore) {

if (!parent::triggers_callback($predictedvalue, $predictionscore)) {
            return false;
        }

// People may not want to set a boundary.
        $boundary = $this->get_callback_boundary();
        if (!empty($boundary) && floatval($predictedvalue) < $boundary) {
            return false;
        }

return true;
    }

/**
     * Returns the minimum value that triggers the callback.
     *
     * @return float
     */
    protected function get_callback_boundary() {
        // Coding exception as this will only be called if this target have linear values.
        throw new \coding_exception('Overwrite get_callback_boundary() and return the min value that ' .
            'should trigger the callback');
    }
}