function handleReset(Dinos) {
  // Checks if this is the first time it is called and set first time as false
  if (firstTime) {
    firstTime = false;
    // Initialize the random Model for each Dino.
    Dinos.forEach((dino) => {
      dino.model = new RandomModel();
      dino.model.init();
    });
}
  else {
    /* If this is not the first time it is called, then we need to train
       our model to form next generation.*/
    // Train model before restarting
    console.info('Training');

    /* We create an array called chromosomes which uses the getChromosome
       function of the randomModel class which converts weights ans bias
       into an array of size 4 [w1,w2,w3,b1].so each element of chromosomes
       array is another array of size 4 */

    const chromosomes = rankList.map((dino) => dino.model.getChromosome());
    // console.info(chromosomes)
    // Clear rankList
    // We empty the ranklist so that we can store the next gen in it.
    rankList.splice(0);

    /* We call the fit function of the genetic model on chromosomes array
       which then calls our genetic operators and  creates the new chromosomes
       array and sets them in the models of the dinos.
    */

    chromosomes = geneticModel.fit(chromosomes);

    Dinos.forEach((dino, i) => {
      dino.model.setChromosome(chromosomes[i]);
    });
  }
}