package net.bmahe.genetics4j.neat.mutation.chromosome;
   
   import java.util.List;
   import java.util.Objects;
   import java.util.random.RandomGenerator;
   
   import net.bmahe.genetics4j.core.spec.mutation.RandomMutation;
   import net.bmahe.genetics4j.neat.Connection;
   import net.bmahe.genetics4j.neat.chromosomes.NeatChromosome;
  
  /**
   * Mutation handler that applies random weight replacement to NEAT chromosomes using the core
   * {@link RandomMutation} policy. Each mutated connection receives a new weight sampled uniformly
   * from the chromosome's valid weight range.
   *
   * <p>For distribution-controlled weight mutation (e.g. Gaussian perturbation, configurable
   * perturbation ratio), use {@link net.bmahe.genetics4j.neat.spec.mutation.NeatConnectionWeight}
   * with {@link NeatChromosomeConnectionWeightMutationHandler} instead.
   */
  public class NeatChromosomeRandomMutationHandler
  		extends AbstractNeatChromosomeConnectionMutationHandler<RandomMutation>
  {
  
  	public NeatChromosomeRandomMutationHandler(final RandomGenerator _randomGenerator) {
  		super(RandomMutation.class, _randomGenerator);
  	}
  
  	@Override
  	protected List<Connection> mutateConnection(final RandomMutation randomMutation, final NeatChromosome neatChromosome,
  			final Connection oldConnection, final int i) {
  		Objects.requireNonNull(randomMutation);
  		Objects.requireNonNull(neatChromosome);
  		Objects.requireNonNull(oldConnection);
  
  		final var connectionBuilder = Connection.builder().from(oldConnection);
  
  		final var minValue = neatChromosome.getMinWeightValue();
  		final var maxValue = neatChromosome.getMaxWeightValue();
  
  		final var randomGenerator = getRandomGenerator();
  
  		float newWeight = randomGenerator.nextFloat(maxValue - minValue) + minValue;
  		connectionBuilder.weight(newWeight);
  		return List.of(connectionBuilder.build());
  	}
  }