/**
* "FNS" (Firnet NeuroScience), ver.3.x
*				
* FNS is an event-driven Spiking Neural Network framework, oriented 
* to data-driven neural simulations.
*
* (c) 2020, Gianluca Susi, Emanuele Paracone, Mario Salerno, 
* Alessandro Cristini, Fernando Maestú.
*
* CITATION:
* When using FNS for scientific publications, cite us as follows:
*
* Gianluca Susi, Pilar Garcés, Alessandro Cristini, Emanuele Paracone, 
* Mario Salerno, Fernando Maestú, Ernesto Pereda (2020). 
* "FNS: an event-driven spiking neural network simulator based on the 
* LIFL neuron model". 
* Laboratory of Cognitive and Computational Neuroscience, UPM-UCM 
* Centre for Biomedical Technology, Technical University of Madrid; 
* University of Rome "Tor Vergata".   
* Paper under review.
*
* FNS is free software: you can redistribute it and/or modify it 
* under the terms of the GNU General Public License version 3 as 
* published by the Free Software Foundation.
*
* FNS 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 FNS. If not, see <http://www.gnu.org/licenses/>.
* 
* -----------------------------------------------------------
*  
* Website:   http://www.fnsneuralsimulator.org
* 
* Contacts:  fnsneuralsimulator (at) gmail.com
*	    gianluca.susi82 (at) gmail.com
*	    emanuele.paracone (at) gmail.com
*
*
* -----------------------------------------------------------
* -----------------------------------------------------------
**/


package utils.tools;

import java.io.Serializable;

public class NiceNode implements Comparable<NiceNode>, Serializable{
   
  
  private static final long serialVersionUID = 4284840399532187183L;
  public Long fn;
    public Double tf;
    
    public NiceNode(Long fn, Double tf){
        this.fn=fn;
        this.tf=tf;
    }
   
    public String toString(){
      return "fn:"+fn+",\ttf:"+tf;
    }
    
    public int compareTo(NiceNode node){
//        return Double.compare(tf,node.tf);
        return tf.compareTo(node.tf);
    }
}
