/*
    * Licensed to the Hipparchus project under one or more
    * contributor license agreements.  See the NOTICE file distributed with
    * this work for additional information regarding copyright ownership.
    * The Hipparchus project 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
    *
    *      https://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 org.hipparchus.optim.nonlinear.vector.leastsquares;
  
  import org.hipparchus.exception.LocalizedCoreFormats;
  import org.hipparchus.exception.MathIllegalStateException;
  import org.hipparchus.linear.LUDecomposer;
  import org.hipparchus.optim.LocalizedOptimFormats;
  import org.hipparchus.optim.SimpleVectorValueChecker;
  import org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresProblem.Evaluation;
  import org.junit.jupiter.api.Test;
  
  import java.io.IOException;
  
  import static org.junit.jupiter.api.Assertions.assertEquals;
  
  /**
   * <p>Some of the unit tests are re-implementations of the MINPACK <a
   * href="http://www.netlib.org/minpack/ex/file17">file17</a> and <a
   * href="http://www.netlib.org/minpack/ex/file22">file22</a> test files.
   * The redistribution policy for MINPACK is available <a
   * href="http://www.netlib.org/minpack/disclaimer">here</a>/
   *
   */
  public class SequentialGaussNewtonOptimizerWithLUTest
      extends AbstractSequentialLeastSquaresOptimizerAbstractTest {
      
      
  
      @Override
      public int getMaxIterations() {
          return 1000;
      }
  
      @Override
      public void defineOptimizer(Evaluation evaluation) {
          this.optimizer = new SequentialGaussNewtonOptimizer().
                           withDecomposer(new LUDecomposer(1.0e-11)).
                           withFormNormalEquations(true).
                           withEvaluation(evaluation);
      }
  
      @Override
      @Test
      public void testMoreEstimatedParametersSimple() {
          try {
              /*
               * Exception is expected with this optimizer
               */
              super.testMoreEstimatedParametersSimple();
              customFail(optimizer);
          } catch (MathIllegalStateException e) {
              assertEquals(LocalizedOptimFormats.UNABLE_TO_SOLVE_SINGULAR_PROBLEM,
                                  e.getSpecifier());
          }
      }
  
      @Override
      @Test
      public void testMoreEstimatedParametersUnsorted() {
          try {
              /*
               * Exception is expected with this optimizer
               */
              super.testMoreEstimatedParametersUnsorted();
              customFail(optimizer);
          } catch (MathIllegalStateException e) {
              assertEquals(LocalizedOptimFormats.UNABLE_TO_SOLVE_SINGULAR_PROBLEM,
                                  e.getSpecifier());
          }
      }
  
      @Test
      void testMaxEvaluations() throws Exception {
          try {
              CircleVectorial circle = new CircleVectorial();
              circle.addPoint( 30.0,  68.0);
              circle.addPoint( 50.0,  -6.0);
              circle.addPoint(110.0, -20.0);
              circle.addPoint( 35.0,  15.0);
              circle.addPoint( 45.0,  97.0);
  
              LeastSquaresProblem lsp = builder(circle)
                              .checkerPair(new SimpleVectorValueChecker(1e-30, 1e-30))
                             .maxIterations(Integer.MAX_VALUE)
                             .start(new double[]{98.680, 47.345})
                             .build();
 
             defineOptimizer(null);
             optimizer.optimize(lsp);
 
             customFail(optimizer);
         } catch (MathIllegalStateException e) {
             assertEquals(LocalizedCoreFormats.MAX_COUNT_EXCEEDED, e.getSpecifier());
         }
     }
 
 
     @Override
     @Test
     public void testHahn1()
         throws IOException {
         /*
          * TODO This test leads to a singular problem with the Gauss-Newton
          * optimizer. This should be inquired.
          */
         try {
             super.testHahn1();
         } catch (MathIllegalStateException e) {
            assertEquals(LocalizedOptimFormats.UNABLE_TO_SOLVE_SINGULAR_PROBLEM, e.getSpecifier());
         }
     }
 }