content: /*
   *
   *
   *    Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements.
   *    See the NOTICE file distributed with this work for additional information regarding copyright ownership.
   *    The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use
   *    this file except in compliance with the License.  You may obtain a copy of the License at
   *
   *            http://www.apache.org/licenses/LICENSE-2.0
   *
   *    Unless required by applicable law or agreed to in writing, software distributed under the License is
   *    distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   *    See the License for the specific language governing permissions and limitations under the License.
   *
   *
   */
  
  package eu.amidst.core.variables.distributionTypes;
  
  import eu.amidst.core.distribution.ConditionalDistribution;
  import eu.amidst.core.distribution.Normal;
  import eu.amidst.core.exponentialfamily.EF_NormalParameter;
  import eu.amidst.core.variables.DistributionType;
  import eu.amidst.core.variables.Variable;
  
  import java.util.List;
  
  /**
   * This class extends the abstract class {@link DistributionType} and defines the Normal parameter type.
   */
  public class NormalParameterType  extends DistributionType {
  
      /**
       * Creates a new NormalParameterType for the given variable.
       * @param var_ the Variable to which the Normal parameter type will be assigned.
       */
      public NormalParameterType(Variable var_) {
          super(var_);
      }
  
      /**
       * {@inheritDoc}
       */
      @Override
      public boolean isParentCompatible(Variable parent) {
          return false;
      }
  
      /**
       * Creates a new univariate distribution.
       * @return a normal distribution for this Variable.
       */
      @Override
      public Normal newUnivariateDistribution() {
          Normal normal = new Normal(variable);
          normal.setMean(0);
          normal.setVariance(1e10);
          return normal;
      }
  
      /**
       * Creates a new exponential family univariate distribution.
       * @return an exponential family normal distribution.
       */
      @Override
      public EF_NormalParameter newEFUnivariateDistribution() {
          EF_NormalParameter ef_normal = new EF_NormalParameter(variable);
          ef_normal.setNaturalWithMeanPrecision(0,1e-10);
          ef_normal.fixNumericalInstability();
          ef_normal.updateMomentFromNaturalParameters();
          return ef_normal;
         //      //return this.newUnivariateDistribution().toEFUnivariateDistribution();
      }
  
      /**
       * {@inheritDoc}
       */
      @Override
      public <E extends ConditionalDistribution> E newConditionalDistribution(List<Variable> parents) {
          throw new UnsupportedOperationException("Normal Parameter Type does not allow conditional distributions");
      }
  }
  