http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/linear/SimplexSolverTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/linear/SimplexSolverTest.java b/src/test/java/org/apache/commons/math3/optim/linear/SimplexSolverTest.java index 0728be1..452bd7d 100644 --- a/src/test/java/org/apache/commons/math3/optim/linear/SimplexSolverTest.java +++ b/src/test/java/org/apache/commons/math3/optim/linear/SimplexSolverTest.java @@ -42,13 +42,13 @@ public class SimplexSolverTest { // x1,x2,x3,x4 >= 0 LinearObjectiveFunction f = new LinearObjectiveFunction(new double[] { 10, -57, -9, -24}, 0); - + ArrayList<LinearConstraint> constraints = new ArrayList<LinearConstraint>(); constraints.add(new LinearConstraint(new double[] {0.5, -5.5, -2.5, 9}, Relationship.LEQ, 0)); constraints.add(new LinearConstraint(new double[] {0.5, -1.5, -0.5, 1}, Relationship.LEQ, 0)); constraints.add(new LinearConstraint(new double[] { 1, 0, 0, 0}, Relationship.LEQ, 1)); - + double epsilon = 1e-6; SimplexSolver solver = new SimplexSolver(); PointValuePair solution = solver.optimize(f, new LinearConstraintSet(constraints), @@ -63,7 +63,7 @@ public class SimplexSolverTest { public void testMath828() { LinearObjectiveFunction f = new LinearObjectiveFunction( new double[] { 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, 0.0); - + ArrayList <LinearConstraint>constraints = new ArrayList<LinearConstraint>(); constraints.add(new LinearConstraint(new double[] {0.0, 39.0, 23.0, 96.0, 15.0, 48.0, 9.0, 21.0, 48.0, 36.0, 76.0, 19.0, 88.0, 17.0, 16.0, 36.0,}, Relationship.GEQ, 15.0)); @@ -73,7 +73,7 @@ public class SimplexSolverTest { constraints.add(new LinearConstraint(new double[] {25.0, -7.0, -99.0, -78.0, -25.0, -14.0, -16.0, -89.0, -39.0, -56.0, -53.0, -9.0, -18.0, -26.0, -11.0, -61.0,}, Relationship.GEQ, 0.0)); constraints.add(new LinearConstraint(new double[] {33.0, -95.0, -15.0, -4.0, -33.0, -3.0, -20.0, -96.0, -27.0, -13.0, -80.0, -24.0, -3.0, -13.0, -57.0, -76.0,}, Relationship.GEQ, 0.0)); constraints.add(new LinearConstraint(new double[] {7.0, -95.0, -39.0, -93.0, -7.0, -94.0, -94.0, -62.0, -76.0, -26.0, -53.0, -57.0, -31.0, -76.0, -53.0, -52.0,}, Relationship.GEQ, 0.0)); - + double epsilon = 1e-6; PointValuePair solution = new SimplexSolver().optimize(DEFAULT_MAX_ITER, f, new LinearConstraintSet(constraints), GoalType.MINIMIZE, new NonNegativeConstraint(true)); @@ -85,7 +85,7 @@ public class SimplexSolverTest { public void testMath828Cycle() { LinearObjectiveFunction f = new LinearObjectiveFunction( new double[] { 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, 0.0); - + ArrayList <LinearConstraint>constraints = new ArrayList<LinearConstraint>(); constraints.add(new LinearConstraint(new double[] {0.0, 16.0, 14.0, 69.0, 1.0, 85.0, 52.0, 43.0, 64.0, 97.0, 14.0, 74.0, 89.0, 28.0, 94.0, 58.0, 13.0, 22.0, 21.0, 17.0, 30.0, 25.0, 1.0, 59.0, 91.0, 78.0, 12.0, 74.0, 56.0, 3.0, 88.0,}, Relationship.GEQ, 91.0)); @@ -95,14 +95,14 @@ public class SimplexSolverTest { constraints.add(new LinearConstraint(new double[] {41.0, -96.0, -41.0, -48.0, -70.0, -43.0, -43.0, -43.0, -97.0, -37.0, -85.0, -70.0, -45.0, -67.0, -87.0, -69.0, -94.0, -54.0, -54.0, -92.0, -79.0, -10.0, -35.0, -20.0, -41.0, -41.0, -65.0, -25.0, -12.0, -8.0, -46.0,}, Relationship.GEQ, 0.0)); constraints.add(new LinearConstraint(new double[] {27.0, -42.0, -65.0, -49.0, -53.0, -42.0, -17.0, -2.0, -61.0, -31.0, -76.0, -47.0, -8.0, -93.0, -86.0, -62.0, -65.0, -63.0, -22.0, -43.0, -27.0, -23.0, -32.0, -74.0, -27.0, -63.0, -47.0, -78.0, -29.0, -95.0, -73.0,}, Relationship.GEQ, 0.0)); constraints.add(new LinearConstraint(new double[] {15.0, -46.0, -41.0, -83.0, -98.0, -99.0, -21.0, -35.0, -7.0, -14.0, -80.0, -63.0, -18.0, -42.0, -5.0, -34.0, -56.0, -70.0, -16.0, -18.0, -74.0, -61.0, -47.0, -41.0, -15.0, -79.0, -18.0, -47.0, -88.0, -68.0, -55.0,}, Relationship.GEQ, 0.0)); - + double epsilon = 1e-6; PointValuePair solution = new SimplexSolver().optimize(DEFAULT_MAX_ITER, f, new LinearConstraintSet(constraints), GoalType.MINIMIZE, new NonNegativeConstraint(true), PivotSelectionRule.BLAND); Assert.assertEquals(1.0d, solution.getValue(), epsilon); - Assert.assertTrue(validSolution(solution, constraints, epsilon)); + Assert.assertTrue(validSolution(solution, constraints, epsilon)); } @Test @@ -185,7 +185,7 @@ public class SimplexSolverTest { SimplexSolver solver = new SimplexSolver(); PointValuePair solution = solver.optimize(DEFAULT_MAX_ITER, f, new LinearConstraintSet(constraints), GoalType.MINIMIZE, new NonNegativeConstraint(false)); - + Assert.assertTrue(Precision.compareTo(solution.getPoint()[0] * 200.d, 1.d, epsilon) >= 0); Assert.assertEquals(0.0050, solution.getValue(), epsilon); } @@ -209,13 +209,13 @@ public class SimplexSolverTest { SimplexSolver simplex = new SimplexSolver(); PointValuePair solution = simplex.optimize(DEFAULT_MAX_ITER, f, new LinearConstraintSet(constraints), GoalType.MINIMIZE, new NonNegativeConstraint(false)); - + Assert.assertTrue(Precision.compareTo(solution.getPoint()[0], -1e-18d, epsilon) >= 0); - Assert.assertEquals(1.0d, solution.getPoint()[1], epsilon); + Assert.assertEquals(1.0d, solution.getPoint()[1], epsilon); Assert.assertEquals(0.0d, solution.getPoint()[2], epsilon); Assert.assertEquals(1.0d, solution.getValue(), epsilon); } - + @Test public void testMath272() { LinearObjectiveFunction f = new LinearObjectiveFunction(new double[] { 2, 2, 1 }, 0); @@ -351,12 +351,12 @@ public class SimplexSolverTest { @Test public void testMath930() { Collection<LinearConstraint> constraints = createMath930Constraints(); - + double[] objFunctionCoeff = new double[33]; objFunctionCoeff[3] = 1; LinearObjectiveFunction f = new LinearObjectiveFunction(objFunctionCoeff, 0); SimplexSolver solver = new SimplexSolver(1e-4, 10, 1e-6); - + PointValuePair solution = solver.optimize(new MaxIter(1000), f, new LinearConstraintSet(constraints), GoalType.MINIMIZE, new NonNegativeConstraint(true)); Assert.assertEquals(0.3752298, solution.getValue(), 1e-4); @@ -751,7 +751,7 @@ public class SimplexSolverTest { public void testSolutionCallback() { // re-use the problem from testcase for MATH-288 // it normally requires 5 iterations - + LinearObjectiveFunction f = new LinearObjectiveFunction(new double[] { 7, 3, 0, 0 }, 0 ); List<LinearConstraint> constraints = new ArrayList<LinearConstraint>(); @@ -763,7 +763,7 @@ public class SimplexSolverTest { final SimplexSolver solver = new SimplexSolver(); final SolutionCallback callback = new SolutionCallback(); - + Assert.assertNull(callback.getSolution()); Assert.assertFalse(callback.isSolutionOptimal()); @@ -774,7 +774,7 @@ public class SimplexSolverTest { } catch (TooManyIterationsException ex) { // expected } - + final PointValuePair solution = callback.getSolution(); Assert.assertNotNull(solution); Assert.assertTrue(validSolution(solution, constraints, 1e-4)); @@ -821,20 +821,20 @@ public class SimplexSolverTest { for (int i = 0; i < vals.length; i++) { result += vals[i] * coeffs[i]; } - + switch (c.getRelationship()) { case EQ: if (!Precision.equals(result, c.getValue(), epsilon)) { return false; } break; - + case GEQ: if (Precision.compareTo(result, c.getValue(), epsilon) < 0) { return false; } break; - + case LEQ: if (Precision.compareTo(result, c.getValue(), epsilon) > 0) { return false; @@ -842,7 +842,7 @@ public class SimplexSolverTest { break; } } - + return true; }
http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java b/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java index c214e4b..858d37b 100644 --- a/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/BOBYQAOptimizerTest.java @@ -41,22 +41,22 @@ import org.junit.Test; public class BOBYQAOptimizerTest { static final int DIM = 13; - + @Test(expected=NumberIsTooLargeException.class) public void testInitOutOfBounds() { double[] startPoint = point(DIM, 3); double[][] boundaries = boundaries(DIM, -1, 2); doTest(new Rosen(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 2000, null); } - + @Test(expected=DimensionMismatchException.class) public void testBoundariesDimensionMismatch() { double[] startPoint = point(DIM, 0.5); double[][] boundaries = boundaries(DIM + 1, -1, 2); doTest(new Rosen(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 2000, null); } @@ -74,7 +74,7 @@ public class BOBYQAOptimizerTest { double[] startPoint = point(DIM, 0.1); double[][] boundaries = null; doTest(new Rosen(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, lowMaxEval, null); } @@ -84,7 +84,7 @@ public class BOBYQAOptimizerTest { double[][] boundaries = null; PointValuePair expected = new PointValuePair(point(DIM,1.0),0.0); doTest(new Rosen(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 2000, expected); } @@ -94,12 +94,12 @@ public class BOBYQAOptimizerTest { double[][] boundaries = null; PointValuePair expected = new PointValuePair(point(DIM,0.0),1.0); doTest(new MinusElli(), startPoint, boundaries, - GoalType.MAXIMIZE, + GoalType.MAXIMIZE, 2e-10, 5e-6, 1000, expected); - boundaries = boundaries(DIM,-0.3,0.3); + boundaries = boundaries(DIM,-0.3,0.3); startPoint = point(DIM,0.1); doTest(new MinusElli(), startPoint, boundaries, - GoalType.MAXIMIZE, + GoalType.MAXIMIZE, 2e-10, 5e-6, 1000, expected); } @@ -110,7 +110,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Elli(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 1000, expected); } @@ -121,7 +121,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new ElliRotated(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-12, 1e-6, 10000, expected); } @@ -132,7 +132,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Cigar(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 100, expected); } @@ -154,7 +154,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new CigTab(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 5e-5, 100, expected); } @@ -165,18 +165,18 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Sphere(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 100, expected); } @Test public void testTablet() { - double[] startPoint = point(DIM,1.0); + double[] startPoint = point(DIM,1.0); double[][] boundaries = null; PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Tablet(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 100, expected); } @@ -187,7 +187,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM/2,0.0),0.0); doTest(new DiffPow(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-8, 1e-1, 21000, expected); } @@ -198,7 +198,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM/2,0.0),0.0); doTest(new SsDiffPow(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-2, 1.3e-1, 50000, expected); } @@ -221,7 +221,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Rastrigin(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 1000, expected); } @@ -333,7 +333,7 @@ public class BOBYQAOptimizerTest { new InitialGuess(startPoint), new SimpleBounds(boundaries[0], boundaries[1])); -// System.out.println(func.getClass().getName() + " = " +// System.out.println(func.getClass().getName() + " = " // + optim.getEvaluations() + " f("); // for (double x: result.getPoint()) System.out.print(x + " "); // System.out.println(") = " + result.getValue()); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java b/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java index aade822..85f8565 100644 --- a/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optim/nonlinear/scalar/noderiv/CMAESOptimizerTest.java @@ -70,7 +70,7 @@ public class CMAESOptimizerTest { GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13, 1e-13, 1e-6, 100000, expected); } - + @Test(expected = DimensionMismatchException.class) public void testBoundariesDimensionMismatch() { double[] startPoint = point(DIM,0.5); @@ -118,7 +118,7 @@ public class CMAESOptimizerTest { GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13, 1e-13, 1e-6, 100000, expected); } - + @Test @Retry(3) public void testRosen() { @@ -149,7 +149,7 @@ public class CMAESOptimizerTest { doTest(new MinusElli(), startPoint, insigma, boundaries, GoalType.MAXIMIZE, LAMBDA, false, 0, 1.0-1e-13, 2e-10, 5e-6, 100000, expected); - boundaries = boundaries(DIM,-0.3,0.3); + boundaries = boundaries(DIM,-0.3,0.3); startPoint = point(DIM,0.1); doTest(new MinusElli(), startPoint, insigma, boundaries, GoalType.MAXIMIZE, LAMBDA, true, 0, 1.0-1e-13, @@ -408,7 +408,7 @@ public class CMAESOptimizerTest { }; final double[] start = { 1 }; - + // No bounds. PointValuePair result = optimizer.optimize(new MaxEval(100000), new ObjectiveFunction(fitnessFunction), @@ -453,7 +453,7 @@ public class CMAESOptimizerTest { Assert.assertEquals(resNoBound, resNearLo, 1e-3); Assert.assertEquals(resNoBound, resNearHi, 1e-3); } - + /** * @param func Function to optimize. * @param startPoint Starting point. @@ -476,7 +476,7 @@ public class CMAESOptimizerTest { GoalType goal, int lambda, boolean isActive, - int diagonalOnly, + int diagonalOnly, double stopValue, double fTol, double pointTol, http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.java b/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.java index 7a9c9eb..bc523ce 100644 --- a/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.java +++ b/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/AbstractLeastSquaresOptimizerAbstractTest.java @@ -294,7 +294,7 @@ public abstract class AbstractLeastSquaresOptimizerAbstractTest { optimizer.optimize(new MaxEval(100), problem2.getModelFunction(), problem2.getModelFunctionJacobian(), - problem2.getTarget(), + problem2.getTarget(), new Weight(new double[] { 1, 1, 1, 1 }), new InitialGuess(new double[] { 0, 1, 2, 3 })); Assert.assertEquals(0, optimizer.getRMS(), 1e-10); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/CircleProblem.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/CircleProblem.java b/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/CircleProblem.java index fe2c3bc..61834b1 100644 --- a/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/CircleProblem.java +++ b/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/CircleProblem.java @@ -162,7 +162,7 @@ class CircleProblem { for (int i = 0; i < points.size(); i++) { final int index = i * 2; - // Partial derivative wrt x-coordinate of center. + // Partial derivative wrt x-coordinate of center. jacobian[index][0] = 1; jacobian[index + 1][0] = 0; // Partial derivative wrt y-coordinate of center. http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/MinpackTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/MinpackTest.java b/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/MinpackTest.java index 898dbdd..53d7880 100644 --- a/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/MinpackTest.java +++ b/src/test/java/org/apache/commons/math3/optim/nonlinear/vector/jacobian/MinpackTest.java @@ -1368,7 +1368,7 @@ public class MinpackTest { } return f; } - + private static final double[] y = { 0.844, 0.908, 0.932, 0.936, 0.925, 0.908, 0.881, 0.850, 0.818, 0.784, 0.751, 0.718, 0.685, 0.658, 0.628, 0.603, 0.580, 0.558, 0.538, 0.522, 0.506, 0.490, http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/univariate/BrentOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/univariate/BrentOptimizerTest.java b/src/test/java/org/apache/commons/math3/optim/univariate/BrentOptimizerTest.java index 575eb5c..f558fc0 100644 --- a/src/test/java/org/apache/commons/math3/optim/univariate/BrentOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optim/univariate/BrentOptimizerTest.java @@ -83,7 +83,7 @@ public final class BrentOptimizerTest { public void testBoundaries() { final double lower = -1.0; final double upper = +1.0; - UnivariateFunction f = new UnivariateFunction() { + UnivariateFunction f = new UnivariateFunction() { public double value(double x) { if (x < lower) { throw new NumberIsTooSmallException(x, lower, true); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/univariate/MultiStartUnivariateOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/univariate/MultiStartUnivariateOptimizerTest.java b/src/test/java/org/apache/commons/math3/optim/univariate/MultiStartUnivariateOptimizerTest.java index d979c72..dde425f 100644 --- a/src/test/java/org/apache/commons/math3/optim/univariate/MultiStartUnivariateOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optim/univariate/MultiStartUnivariateOptimizerTest.java @@ -111,7 +111,7 @@ public class MultiStartUnivariateOptimizerTest { JDKRandomGenerator g = new JDKRandomGenerator(); g.setSeed(4312000053L); MultiStartUnivariateOptimizer optimizer = new MultiStartUnivariateOptimizer(underlying, 5, g); - + try { optimizer.optimize(new MaxEval(300), new UnivariateObjectiveFunction(f), http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optim/univariate/SimpleUnivariateValueCheckerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optim/univariate/SimpleUnivariateValueCheckerTest.java b/src/test/java/org/apache/commons/math3/optim/univariate/SimpleUnivariateValueCheckerTest.java index e7b7904..d2bd42d 100644 --- a/src/test/java/org/apache/commons/math3/optim/univariate/SimpleUnivariateValueCheckerTest.java +++ b/src/test/java/org/apache/commons/math3/optim/univariate/SimpleUnivariateValueCheckerTest.java @@ -30,7 +30,7 @@ public class SimpleUnivariateValueCheckerTest { public void testIterationCheck() { final int max = 10; final SimpleUnivariateValueChecker checker = new SimpleUnivariateValueChecker(1e-1, 1e-2, max); - Assert.assertTrue(checker.converged(max, null, null)); + Assert.assertTrue(checker.converged(max, null, null)); Assert.assertTrue(checker.converged(max + 1, null, null)); } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/SimplePointCheckerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/SimplePointCheckerTest.java b/src/test/java/org/apache/commons/math3/optimization/SimplePointCheckerTest.java index 5595b11..484c4f5 100644 --- a/src/test/java/org/apache/commons/math3/optimization/SimplePointCheckerTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/SimplePointCheckerTest.java @@ -32,7 +32,7 @@ public class SimplePointCheckerTest { final int max = 10; final SimplePointChecker<PointValuePair> checker = new SimplePointChecker<PointValuePair>(1e-1, 1e-2, max); - Assert.assertTrue(checker.converged(max, null, null)); + Assert.assertTrue(checker.converged(max, null, null)); Assert.assertTrue(checker.converged(max + 1, null, null)); } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/SimpleValueCheckerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/SimpleValueCheckerTest.java b/src/test/java/org/apache/commons/math3/optimization/SimpleValueCheckerTest.java index baf865f..2cb388e 100644 --- a/src/test/java/org/apache/commons/math3/optimization/SimpleValueCheckerTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/SimpleValueCheckerTest.java @@ -31,7 +31,7 @@ public class SimpleValueCheckerTest { public void testIterationCheck() { final int max = 10; final SimpleValueChecker checker = new SimpleValueChecker(1e-1, 1e-2, max); - Assert.assertTrue(checker.converged(max, null, null)); + Assert.assertTrue(checker.converged(max, null, null)); Assert.assertTrue(checker.converged(max + 1, null, null)); } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/direct/BOBYQAOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/direct/BOBYQAOptimizerTest.java b/src/test/java/org/apache/commons/math3/optimization/direct/BOBYQAOptimizerTest.java index f89da18..a871d85 100644 --- a/src/test/java/org/apache/commons/math3/optimization/direct/BOBYQAOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/direct/BOBYQAOptimizerTest.java @@ -40,22 +40,22 @@ import org.junit.Test; public class BOBYQAOptimizerTest { static final int DIM = 13; - + @Test(expected=NumberIsTooLargeException.class) public void testInitOutOfBounds() { double[] startPoint = point(DIM, 3); double[][] boundaries = boundaries(DIM, -1, 2); doTest(new Rosen(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 2000, null); } - + @Test(expected=DimensionMismatchException.class) public void testBoundariesDimensionMismatch() { double[] startPoint = point(DIM, 0.5); double[][] boundaries = boundaries(DIM + 1, -1, 2); doTest(new Rosen(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 2000, null); } @@ -73,7 +73,7 @@ public class BOBYQAOptimizerTest { double[] startPoint = point(DIM, 0.1); double[][] boundaries = null; doTest(new Rosen(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, lowMaxEval, null); } @@ -83,7 +83,7 @@ public class BOBYQAOptimizerTest { double[][] boundaries = null; PointValuePair expected = new PointValuePair(point(DIM,1.0),0.0); doTest(new Rosen(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 2000, expected); } @@ -93,12 +93,12 @@ public class BOBYQAOptimizerTest { double[][] boundaries = null; PointValuePair expected = new PointValuePair(point(DIM,0.0),1.0); doTest(new MinusElli(), startPoint, boundaries, - GoalType.MAXIMIZE, + GoalType.MAXIMIZE, 2e-10, 5e-6, 1000, expected); - boundaries = boundaries(DIM,-0.3,0.3); + boundaries = boundaries(DIM,-0.3,0.3); startPoint = point(DIM,0.1); doTest(new MinusElli(), startPoint, boundaries, - GoalType.MAXIMIZE, + GoalType.MAXIMIZE, 2e-10, 5e-6, 1000, expected); } @@ -109,7 +109,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Elli(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 1000, expected); } @@ -120,7 +120,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new ElliRotated(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-12, 1e-6, 10000, expected); } @@ -131,7 +131,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Cigar(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 100, expected); } @@ -153,7 +153,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new CigTab(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 5e-5, 100, expected); } @@ -164,18 +164,18 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Sphere(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 100, expected); } @Test public void testTablet() { - double[] startPoint = point(DIM,1.0); + double[] startPoint = point(DIM,1.0); double[][] boundaries = null; PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Tablet(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 100, expected); } @@ -186,7 +186,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM/2,0.0),0.0); doTest(new DiffPow(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-8, 1e-1, 21000, expected); } @@ -197,7 +197,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM/2,0.0),0.0); doTest(new SsDiffPow(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-2, 1.3e-1, 50000, expected); } @@ -220,7 +220,7 @@ public class BOBYQAOptimizerTest { PointValuePair expected = new PointValuePair(point(DIM,0.0),0.0); doTest(new Rastrigin(), startPoint, boundaries, - GoalType.MINIMIZE, + GoalType.MINIMIZE, 1e-13, 1e-6, 1000, expected); } @@ -331,7 +331,7 @@ public class BOBYQAOptimizerTest { optim.optimize(maxEvaluations, func, goal, new InitialGuess(startPoint), new SimpleBounds(lB, uB)); -// System.out.println(func.getClass().getName() + " = " +// System.out.println(func.getClass().getName() + " = " // + optim.getEvaluations() + " f("); // for (double x: result.getPoint()) System.out.print(x + " "); // System.out.println(") = " + result.getValue()); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/direct/CMAESOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/direct/CMAESOptimizerTest.java b/src/test/java/org/apache/commons/math3/optimization/direct/CMAESOptimizerTest.java index 29c3eec..2826d31 100644 --- a/src/test/java/org/apache/commons/math3/optimization/direct/CMAESOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/direct/CMAESOptimizerTest.java @@ -46,7 +46,7 @@ public class CMAESOptimizerTest { static final int DIM = 13; static final int LAMBDA = 4 + (int)(3.*FastMath.log(DIM)); - + @Test(expected = NumberIsTooLargeException.class) public void testInitOutofbounds1() { double[] startPoint = point(DIM,3); @@ -69,7 +69,7 @@ public class CMAESOptimizerTest { GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13, 1e-13, 1e-6, 100000, expected); } - + @Test(expected = DimensionMismatchException.class) public void testBoundariesDimensionMismatch() { double[] startPoint = point(DIM,0.5); @@ -117,7 +117,7 @@ public class CMAESOptimizerTest { GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13, 1e-13, 1e-6, 100000, expected); } - + @Test @Retry(3) public void testRosen() { @@ -148,7 +148,7 @@ public class CMAESOptimizerTest { doTest(new MinusElli(), startPoint, insigma, boundaries, GoalType.MAXIMIZE, LAMBDA, false, 0, 1.0-1e-13, 2e-10, 5e-6, 100000, expected); - boundaries = boundaries(DIM,-0.3,0.3); + boundaries = boundaries(DIM,-0.3,0.3); startPoint = point(DIM,0.1); doTest(new MinusElli(), startPoint, insigma, boundaries, GoalType.MAXIMIZE, LAMBDA, true, 0, 1.0-1e-13, @@ -397,7 +397,7 @@ public class CMAESOptimizerTest { }; final double[] start = { 1 }; - + // No bounds. PointValuePair result = optimizer.optimize(100000, fitnessFunction, GoalType.MINIMIZE, start); @@ -426,7 +426,7 @@ public class CMAESOptimizerTest { Assert.assertEquals(resNoBound, resNearLo, 1e-3); Assert.assertEquals(resNoBound, resNearHi, 1e-3); } - + /** * @param func Function to optimize. * @param startPoint Starting point. @@ -449,7 +449,7 @@ public class CMAESOptimizerTest { GoalType goal, int lambda, boolean isActive, - int diagonalOnly, + int diagonalOnly, double stopValue, double fTol, double pointTol, http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/fitting/GaussianFitterTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/fitting/GaussianFitterTest.java b/src/test/java/org/apache/commons/math3/optimization/fitting/GaussianFitterTest.java index ddccdb2..af8acd4 100644 --- a/src/test/java/org/apache/commons/math3/optimization/fitting/GaussianFitterTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/fitting/GaussianFitterTest.java @@ -200,7 +200,7 @@ public class GaussianFitterTest { GaussianFitter fitter = new GaussianFitter(new LevenbergMarquardtOptimizer()); fitter.fit(); } - + /** * Two points is not enough observed points. */ @@ -213,7 +213,7 @@ public class GaussianFitterTest { fitter); fitter.fit(); } - + /** * Poor data: right of peak not symmetric with left of peak. */ @@ -226,8 +226,8 @@ public class GaussianFitterTest { Assert.assertEquals(233003.2967252038, parameters[0], 1e-4); Assert.assertEquals(-10.654887521095983, parameters[1], 1e-4); Assert.assertEquals(4.335937353196641, parameters[2], 1e-4); - } - + } + /** * Poor data: long tails. */ @@ -241,7 +241,7 @@ public class GaussianFitterTest { Assert.assertEquals(-13.29641995105174, parameters[1], 1e-4); Assert.assertEquals(1.7297330293549908, parameters[2], 1e-4); } - + /** * Poor data: right of peak is missing. */ @@ -254,7 +254,7 @@ public class GaussianFitterTest { Assert.assertEquals(285250.66754309234, parameters[0], 1e-4); Assert.assertEquals(-13.528375695228455, parameters[1], 1e-4); Assert.assertEquals(1.5204344894331614, parameters[2], 1e-4); - } + } /** * Basic with smaller dataset. @@ -275,7 +275,7 @@ public class GaussianFitterTest { // The optimizer will try negative sigma values but "GaussianFitter" // will catch the raised exceptions and return NaN values instead. - final double[] data = { + final double[] data = { 1.1143831578403364E-29, 4.95281403484594E-28, 1.1171347211930288E-26, @@ -343,7 +343,7 @@ public class GaussianFitterTest { Assert.assertEquals(0.603770729862231, p[1], 1e-15); Assert.assertEquals(1.0786447936766612, p[2], 1e-14); } - + /** * Adds the specified points to specified <code>GaussianFitter</code> * instance. http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/general/AbstractLeastSquaresOptimizerAbstractTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/general/AbstractLeastSquaresOptimizerAbstractTest.java b/src/test/java/org/apache/commons/math3/optimization/general/AbstractLeastSquaresOptimizerAbstractTest.java index 4dbe17d..de80e44 100644 --- a/src/test/java/org/apache/commons/math3/optimization/general/AbstractLeastSquaresOptimizerAbstractTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/general/AbstractLeastSquaresOptimizerAbstractTest.java @@ -514,7 +514,7 @@ public abstract class AbstractLeastSquaresOptimizerAbstractTest { for (int j = 0; j < factors.getColumnDimension(); ++j) { value[i] = value[i].add(variables[j].multiply(factors.getEntry(i, j))); } - + } return value; } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/general/NonLinearConjugateGradientOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/general/NonLinearConjugateGradientOptimizerTest.java b/src/test/java/org/apache/commons/math3/optimization/general/NonLinearConjugateGradientOptimizerTest.java index 26091a4..f606b28 100644 --- a/src/test/java/org/apache/commons/math3/optimization/general/NonLinearConjugateGradientOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/general/NonLinearConjugateGradientOptimizerTest.java @@ -194,7 +194,7 @@ public class NonLinearConjugateGradientOptimizerTest { new SimpleValueChecker(1e-13, 1e-13), new BrentSolver(), preconditioner); - + PointValuePair optimum = optimizer.optimize(100, problem, GoalType.MINIMIZE, new double[] { 0, 0, 0, 0, 0, 0 }); Assert.assertEquals( 3.0, optimum.getPoint()[0], 1.0e-10); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/linear/SimplexSolverTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/linear/SimplexSolverTest.java b/src/test/java/org/apache/commons/math3/optimization/linear/SimplexSolverTest.java index 110992a..3e5f188 100644 --- a/src/test/java/org/apache/commons/math3/optimization/linear/SimplexSolverTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/linear/SimplexSolverTest.java @@ -35,7 +35,7 @@ public class SimplexSolverTest { public void testMath828() { LinearObjectiveFunction f = new LinearObjectiveFunction( new double[] { 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, 0.0); - + ArrayList <LinearConstraint>constraints = new ArrayList<LinearConstraint>(); constraints.add(new LinearConstraint(new double[] {0.0, 39.0, 23.0, 96.0, 15.0, 48.0, 9.0, 21.0, 48.0, 36.0, 76.0, 19.0, 88.0, 17.0, 16.0, 36.0,}, Relationship.GEQ, 15.0)); @@ -45,7 +45,7 @@ public class SimplexSolverTest { constraints.add(new LinearConstraint(new double[] {25.0, -7.0, -99.0, -78.0, -25.0, -14.0, -16.0, -89.0, -39.0, -56.0, -53.0, -9.0, -18.0, -26.0, -11.0, -61.0,}, Relationship.GEQ, 0.0)); constraints.add(new LinearConstraint(new double[] {33.0, -95.0, -15.0, -4.0, -33.0, -3.0, -20.0, -96.0, -27.0, -13.0, -80.0, -24.0, -3.0, -13.0, -57.0, -76.0,}, Relationship.GEQ, 0.0)); constraints.add(new LinearConstraint(new double[] {7.0, -95.0, -39.0, -93.0, -7.0, -94.0, -94.0, -62.0, -76.0, -26.0, -53.0, -57.0, -31.0, -76.0, -53.0, -52.0,}, Relationship.GEQ, 0.0)); - + double epsilon = 1e-6; PointValuePair solution = new SimplexSolver().optimize(f, constraints, GoalType.MINIMIZE, true); Assert.assertEquals(1.0d, solution.getValue(), epsilon); @@ -56,7 +56,7 @@ public class SimplexSolverTest { public void testMath828Cycle() { LinearObjectiveFunction f = new LinearObjectiveFunction( new double[] { 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}, 0.0); - + ArrayList <LinearConstraint>constraints = new ArrayList<LinearConstraint>(); constraints.add(new LinearConstraint(new double[] {0.0, 16.0, 14.0, 69.0, 1.0, 85.0, 52.0, 43.0, 64.0, 97.0, 14.0, 74.0, 89.0, 28.0, 94.0, 58.0, 13.0, 22.0, 21.0, 17.0, 30.0, 25.0, 1.0, 59.0, 91.0, 78.0, 12.0, 74.0, 56.0, 3.0, 88.0,}, Relationship.GEQ, 91.0)); @@ -66,11 +66,11 @@ public class SimplexSolverTest { constraints.add(new LinearConstraint(new double[] {41.0, -96.0, -41.0, -48.0, -70.0, -43.0, -43.0, -43.0, -97.0, -37.0, -85.0, -70.0, -45.0, -67.0, -87.0, -69.0, -94.0, -54.0, -54.0, -92.0, -79.0, -10.0, -35.0, -20.0, -41.0, -41.0, -65.0, -25.0, -12.0, -8.0, -46.0,}, Relationship.GEQ, 0.0)); constraints.add(new LinearConstraint(new double[] {27.0, -42.0, -65.0, -49.0, -53.0, -42.0, -17.0, -2.0, -61.0, -31.0, -76.0, -47.0, -8.0, -93.0, -86.0, -62.0, -65.0, -63.0, -22.0, -43.0, -27.0, -23.0, -32.0, -74.0, -27.0, -63.0, -47.0, -78.0, -29.0, -95.0, -73.0,}, Relationship.GEQ, 0.0)); constraints.add(new LinearConstraint(new double[] {15.0, -46.0, -41.0, -83.0, -98.0, -99.0, -21.0, -35.0, -7.0, -14.0, -80.0, -63.0, -18.0, -42.0, -5.0, -34.0, -56.0, -70.0, -16.0, -18.0, -74.0, -61.0, -47.0, -41.0, -15.0, -79.0, -18.0, -47.0, -88.0, -68.0, -55.0,}, Relationship.GEQ, 0.0)); - + double epsilon = 1e-6; PointValuePair solution = new SimplexSolver().optimize(f, constraints, GoalType.MINIMIZE, true); Assert.assertEquals(1.0d, solution.getValue(), epsilon); - Assert.assertTrue(validSolution(solution, constraints, epsilon)); + Assert.assertTrue(validSolution(solution, constraints, epsilon)); } @Test @@ -148,7 +148,7 @@ public class SimplexSolverTest { SimplexSolver solver = new SimplexSolver(); PointValuePair solution = solver.optimize(f, constraints, GoalType.MINIMIZE, false); - + Assert.assertTrue(Precision.compareTo(solution.getPoint()[0] * 200.d, 1.d, epsilon) >= 0); Assert.assertEquals(0.0050, solution.getValue(), epsilon); } @@ -171,13 +171,13 @@ public class SimplexSolverTest { double epsilon = 1e-7; SimplexSolver simplex = new SimplexSolver(); PointValuePair solution = simplex.optimize(f, constraints, GoalType.MINIMIZE, false); - + Assert.assertTrue(Precision.compareTo(solution.getPoint()[0], -1e-18d, epsilon) >= 0); - Assert.assertEquals(1.0d, solution.getPoint()[1], epsilon); + Assert.assertEquals(1.0d, solution.getPoint()[1], epsilon); Assert.assertEquals(0.0d, solution.getPoint()[2], epsilon); Assert.assertEquals(1.0d, solution.getValue(), epsilon); } - + @Test public void testMath272() { LinearObjectiveFunction f = new LinearObjectiveFunction(new double[] { 2, 2, 1 }, 0); @@ -612,20 +612,20 @@ public class SimplexSolverTest { for (int i = 0; i < vals.length; i++) { result += vals[i] * coeffs[i]; } - + switch (c.getRelationship()) { case EQ: if (!Precision.equals(result, c.getValue(), epsilon)) { return false; } break; - + case GEQ: if (Precision.compareTo(result, c.getValue(), epsilon) < 0) { return false; } break; - + case LEQ: if (Precision.compareTo(result, c.getValue(), epsilon) > 0) { return false; @@ -633,7 +633,7 @@ public class SimplexSolverTest { break; } } - + return true; } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/univariate/BrentOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/univariate/BrentOptimizerTest.java b/src/test/java/org/apache/commons/math3/optimization/univariate/BrentOptimizerTest.java index 34ee8c7..73054db 100644 --- a/src/test/java/org/apache/commons/math3/optimization/univariate/BrentOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/univariate/BrentOptimizerTest.java @@ -71,7 +71,7 @@ public final class BrentOptimizerTest { public void testBoundaries() { final double lower = -1.0; final double upper = +1.0; - UnivariateFunction f = new UnivariateFunction() { + UnivariateFunction f = new UnivariateFunction() { public double value(double x) { if (x < lower) { throw new NumberIsTooSmallException(x, lower, true); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/univariate/SimpleUnivariateValueCheckerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/univariate/SimpleUnivariateValueCheckerTest.java b/src/test/java/org/apache/commons/math3/optimization/univariate/SimpleUnivariateValueCheckerTest.java index 8ad9f66..5964ecc 100644 --- a/src/test/java/org/apache/commons/math3/optimization/univariate/SimpleUnivariateValueCheckerTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/univariate/SimpleUnivariateValueCheckerTest.java @@ -31,7 +31,7 @@ public class SimpleUnivariateValueCheckerTest { public void testIterationCheck() { final int max = 10; final SimpleUnivariateValueChecker checker = new SimpleUnivariateValueChecker(1e-1, 1e-2, max); - Assert.assertTrue(checker.converged(max, null, null)); + Assert.assertTrue(checker.converged(max, null, null)); Assert.assertTrue(checker.converged(max + 1, null, null)); } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/optimization/univariate/UnivariateMultiStartOptimizerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/optimization/univariate/UnivariateMultiStartOptimizerTest.java b/src/test/java/org/apache/commons/math3/optimization/univariate/UnivariateMultiStartOptimizerTest.java index 18fbdab..55929a0 100644 --- a/src/test/java/org/apache/commons/math3/optimization/univariate/UnivariateMultiStartOptimizerTest.java +++ b/src/test/java/org/apache/commons/math3/optimization/univariate/UnivariateMultiStartOptimizerTest.java @@ -88,7 +88,7 @@ public class UnivariateMultiStartOptimizerTest { g.setSeed(4312000053L); UnivariateMultiStartOptimizer<UnivariateFunction> optimizer = new UnivariateMultiStartOptimizer<UnivariateFunction>(underlying, 5, g); - + try { optimizer.optimize(300, f, GoalType.MINIMIZE, -0.3, -0.2); Assert.fail(); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/primes/PrimesTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/primes/PrimesTest.java b/src/test/java/org/apache/commons/math3/primes/PrimesTest.java index 19eef5d..ccc4bf9 100644 --- a/src/test/java/org/apache/commons/math3/primes/PrimesTest.java +++ b/src/test/java/org/apache/commons/math3/primes/PrimesTest.java @@ -169,4 +169,4 @@ public class PrimesTest { Assert.assertEquals(1, factors.size()); } } -} \ No newline at end of file +} http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/AbstractRandomGeneratorTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/AbstractRandomGeneratorTest.java b/src/test/java/org/apache/commons/math3/random/AbstractRandomGeneratorTest.java index 1f3d2b0..7fd2ac9 100644 --- a/src/test/java/org/apache/commons/math3/random/AbstractRandomGeneratorTest.java +++ b/src/test/java/org/apache/commons/math3/random/AbstractRandomGeneratorTest.java @@ -26,12 +26,12 @@ public class AbstractRandomGeneratorTest extends RandomGeneratorAbstractTest { public AbstractRandomGeneratorTest() { super(); } - + @Override protected RandomGenerator makeGenerator() { RandomGenerator generator = new TestRandomGenerator(); generator.setSeed(1001); return generator; } - + } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/BitsStreamGeneratorTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/BitsStreamGeneratorTest.java b/src/test/java/org/apache/commons/math3/random/BitsStreamGeneratorTest.java index da4bc94..6bb0f59 100644 --- a/src/test/java/org/apache/commons/math3/random/BitsStreamGeneratorTest.java +++ b/src/test/java/org/apache/commons/math3/random/BitsStreamGeneratorTest.java @@ -28,14 +28,14 @@ public class BitsStreamGeneratorTest extends RandomGeneratorAbstractTest { public BitsStreamGeneratorTest() { super(); } - + @Override protected RandomGenerator makeGenerator() { RandomGenerator generator = new TestBitStreamGenerator(); generator.setSeed(1000); return generator; } - + /** * Test BitStreamGenerator using a Random as bit source. */ @@ -43,7 +43,7 @@ public class BitsStreamGeneratorTest extends RandomGeneratorAbstractTest { private static final long serialVersionUID = 1L; private BitRandom ran = new BitRandom(); - + @Override public void setSeed(int seed) { ran.setSeed(seed); @@ -58,15 +58,15 @@ public class BitsStreamGeneratorTest extends RandomGeneratorAbstractTest { @Override public void setSeed(long seed) { ran.setSeed((int) seed); - + } - + @Override protected int next(int bits) { return ran.nextBits(bits); - } + } } - + /** * Extend Random to expose next(bits) */ @@ -79,5 +79,5 @@ public class BitsStreamGeneratorTest extends RandomGeneratorAbstractTest { return next(bits); } } - + } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/CorrelatedRandomVectorGeneratorTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/CorrelatedRandomVectorGeneratorTest.java b/src/test/java/org/apache/commons/math3/random/CorrelatedRandomVectorGeneratorTest.java index f4d5882..3a3fa60 100644 --- a/src/test/java/org/apache/commons/math3/random/CorrelatedRandomVectorGeneratorTest.java +++ b/src/test/java/org/apache/commons/math3/random/CorrelatedRandomVectorGeneratorTest.java @@ -147,7 +147,7 @@ public class CorrelatedRandomVectorGeneratorTest { {0.009881156, 0.008196856, 0.019023866, 0.009210099}, {0.010499559, 0.010732709, 0.009210099, 0.019107243} }; - + final double[][] covMatrix2 = new double[][]{ {0.0, 0.0, 0.0, 0.0, 0.0}, {0.0, 0.013445532, 0.010394690, 0.009881156, 0.010499559}, @@ -155,7 +155,7 @@ public class CorrelatedRandomVectorGeneratorTest { {0.0, 0.009881156, 0.008196856, 0.019023866, 0.009210099}, {0.0, 0.010499559, 0.010732709, 0.009210099, 0.019107243} }; - + final double[][] covMatrix3 = new double[][]{ {0.013445532, 0.010394690, 0.0, 0.009881156, 0.010499559}, {0.010394690, 0.023006616, 0.0, 0.008196856, 0.010732709}, @@ -163,7 +163,7 @@ public class CorrelatedRandomVectorGeneratorTest { {0.009881156, 0.008196856, 0.0, 0.019023866, 0.009210099}, {0.010499559, 0.010732709, 0.0, 0.009210099, 0.019107243} }; - + testSampler(covMatrix1, 10000, 0.001); testSampler(covMatrix2, 10000, 0.001); testSampler(covMatrix3, 10000, 0.001); @@ -182,7 +182,7 @@ public class CorrelatedRandomVectorGeneratorTest { private void testSampler(final double[][] covMatrix, int samples, double epsilon) { CorrelatedRandomVectorGenerator sampler = createSampler(covMatrix); - + StorelessCovariance cov = new StorelessCovariance(covMatrix.length); for (int i = 0; i < samples; ++i) { cov.increment(sampler.nextVector()); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/EmpiricalDistributionTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/EmpiricalDistributionTest.java b/src/test/java/org/apache/commons/math3/random/EmpiricalDistributionTest.java index 71763e1..c0dd2a4 100644 --- a/src/test/java/org/apache/commons/math3/random/EmpiricalDistributionTest.java +++ b/src/test/java/org/apache/commons/math3/random/EmpiricalDistributionTest.java @@ -103,13 +103,13 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes // Load from a URL empiricalDistribution.load(url); checkDistribution(); - + // Load again from a file (also verifies idempotency of load) File file = new File(url.toURI()); empiricalDistribution.load(file); checkDistribution(); } - + private void checkDistribution() { // testData File has 10000 values, with mean ~ 5.0, std dev ~ 1 // Make sure that loaded distribution matches this @@ -245,24 +245,24 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes TestUtils.assertEquals(expectedBinUpperBounds, dist.getUpperBounds(), tol); TestUtils.assertEquals(expectedGeneratorUpperBounds, dist.getGeneratorUpperBounds(), tol); } - + @Test public void testGeneratorConfig() { double[] testData = {0, 1, 2, 3, 4}; RandomGenerator generator = new RandomAdaptorTest.ConstantGenerator(0.5); - + EmpiricalDistribution dist = new EmpiricalDistribution(5, generator); dist.load(testData); for (int i = 0; i < 5; i++) { Assert.assertEquals(2.0, dist.getNextValue(), 0d); } - + // Verify no NPE with null generator argument dist = new EmpiricalDistribution(5, (RandomGenerator) null); dist.load(testData); dist.getNextValue(); } - + @Test public void testReSeed() throws Exception { empiricalDistribution.load(url); @@ -310,9 +310,9 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes Assert.assertEquals("mean", 5.069831575018909, stats.getMean(), tolerance); Assert.assertEquals("std dev", 1.0173699343977738, stats.getStandardDeviation(), tolerance); } - + // Setup for distribution tests - + @Override public RealDistribution makeDistribution() { // Create a uniform distribution on [0, 10,000] @@ -324,10 +324,10 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes dist.load(sourceData); return dist; } - + /** Uniform bin mass = 10/10001 == mass of all but the first bin */ private final double binMass = 10d / (n + 1); - + /** Mass of first bin = 11/10001 */ private final double firstBinMass = 11d / (n + 1); @@ -336,11 +336,11 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes final double[] testPoints = new double[] {9, 10, 15, 1000, 5004, 9999}; return testPoints; } - + @Override public double[] makeCumulativeTestValues() { - /* + /* * Bins should be [0, 10], (10, 20], ..., (9990, 10000] * Kernels should be N(4.5, 3.02765), N(14.5, 3.02765)... * Each bin should have mass 10/10000 = .001 @@ -379,12 +379,12 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes final RealDistribution kernel = findKernel(lower, upper); final double withinBinKernelMass = kernel.cumulativeProbability(lower, upper); final double density = kernel.density(testPoints[i]); - densityValues[i] = density * (bin == 0 ? firstBinMass : binMass) / withinBinKernelMass; + densityValues[i] = density * (bin == 0 ? firstBinMass : binMass) / withinBinKernelMass; } return densityValues; } - - /** + + /** * Modify test integration bounds from the default. Because the distribution * has discontinuities at bin boundaries, integrals spanning multiple bins * will face convergence problems. Only test within-bin integrals and spans @@ -406,15 +406,15 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes final double[] upper = {5, 12, 1030, 5010, 10000}; for (int i = 1; i < 5; i++) { Assert.assertEquals( - distribution.cumulativeProbability( + distribution.cumulativeProbability( lower[i], upper[i]), integrator.integrate( 1000000, // Triangle integrals are very slow to converge d, lower[i], upper[i]), tol); } } - - /** + + /** * MATH-984 * Verify that sampled values do not go outside of the range of the data. */ @@ -438,7 +438,7 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes Assert.assertTrue(dev > 0); } } - + /** * MATH-1203, MATH-1208 */ @@ -456,8 +456,8 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes Assert.assertEquals(1.0, dist.cumulativeProbability(1), Double.MIN_VALUE); Assert.assertEquals(0.5, dist.cumulativeProbability(0.5), Double.MIN_VALUE); Assert.assertEquals(0.5, dist.cumulativeProbability(0.7), Double.MIN_VALUE); - } - + } + /** * Find the bin that x belongs (relative to {@link #makeDistribution()}). */ @@ -468,7 +468,7 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes // If x falls on a bin boundary, it is in the lower bin return FastMath.floor(x / 10) == x / 10 ? bin - 1 : bin; } - + /** * Find the within-bin kernel for the bin with lower bound lower * and upper bound upper. All bins other than the first contain 10 points @@ -480,10 +480,10 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes if (lower < 1) { return new NormalDistribution(5d, 3.3166247903554); } else { - return new NormalDistribution((upper + lower + 1) / 2d, 3.0276503540974917); + return new NormalDistribution((upper + lower + 1) / 2d, 3.0276503540974917); } } - + @Test public void testKernelOverrideConstant() { final EmpiricalDistribution dist = new ConstantKernelEmpiricalDistribution(5); @@ -509,7 +509,7 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes Assert.assertEquals(8.0, dist.inverseCumulativeProbability(0.5), tol); Assert.assertEquals(8.0, dist.inverseCumulativeProbability(0.6), tol); } - + @Test public void testKernelOverrideUniform() { final EmpiricalDistribution dist = new UniformKernelEmpiricalDistribution(5); @@ -517,14 +517,14 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes dist.load(data); // Kernels are uniform distributions on [1,3], [4,6], [7,9], [10,12], [13,15] final double bounds[] = {3d, 6d, 9d, 12d}; - final double tol = 10E-12; + final double tol = 10E-12; for (int i = 0; i < 20; i++) { final double v = dist.sample(); // Make sure v is not in the excluded range between bins - that is (bounds[i], bounds[i] + 1) for (int j = 0; j < bounds.length; j++) { Assert.assertFalse(v > bounds[j] + tol && v < bounds[j] + 1 - tol); } - } + } Assert.assertEquals(0.0, dist.cumulativeProbability(1), tol); Assert.assertEquals(0.1, dist.cumulativeProbability(2), tol); Assert.assertEquals(0.6, dist.cumulativeProbability(10), tol); @@ -539,8 +539,8 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes Assert.assertEquals(8.0, dist.inverseCumulativeProbability(0.5), tol); Assert.assertEquals(9.0, dist.inverseCumulativeProbability(0.6), tol); } - - + + /** * Empirical distribution using a constant smoothing kernel. */ @@ -555,7 +555,7 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes return new ConstantRealDistribution(bStats.getMean()); } } - + /** * Empirical distribution using a uniform smoothing kernel. */ http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/HaltonSequenceGeneratorTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/HaltonSequenceGeneratorTest.java b/src/test/java/org/apache/commons/math3/random/HaltonSequenceGeneratorTest.java index bbe8187..e64eed5 100644 --- a/src/test/java/org/apache/commons/math3/random/HaltonSequenceGeneratorTest.java +++ b/src/test/java/org/apache/commons/math3/random/HaltonSequenceGeneratorTest.java @@ -86,7 +86,7 @@ public class HaltonSequenceGeneratorTest { } catch (OutOfRangeException e) { // expected } - + try { new HaltonSequenceGenerator(41); Assert.fail("an exception should have been thrown"); @@ -124,7 +124,7 @@ public class HaltonSequenceGeneratorTest { double[] result = generator.skipTo(5); Assert.assertArrayEquals(referenceValues[5], result, 1e-3); Assert.assertEquals(6, generator.getNextIndex()); - + for (int i = 6; i < referenceValues.length; i++) { result = generator.nextVector(); Assert.assertArrayEquals(referenceValues[i], result, 1e-3); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/MersenneTwisterTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/MersenneTwisterTest.java b/src/test/java/org/apache/commons/math3/random/MersenneTwisterTest.java index 3a72e11..4e3e2c9 100644 --- a/src/test/java/org/apache/commons/math3/random/MersenneTwisterTest.java +++ b/src/test/java/org/apache/commons/math3/random/MersenneTwisterTest.java @@ -25,10 +25,10 @@ public class MersenneTwisterTest extends RandomGeneratorAbstractTest { protected RandomGenerator makeGenerator() { return new MersenneTwister(111); } - + // TODO: Some of the tests moved up to RandomGeneratorAbstractTest tested alternative seeding / constructors // Tests exercising these features directly should be added to this class. - + @Test public void testMakotoNishimura() { MersenneTwister mt = new MersenneTwister(new int[] {0x123, 0x234, 0x345, 0x456}); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/RandomAdaptorTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/RandomAdaptorTest.java b/src/test/java/org/apache/commons/math3/random/RandomAdaptorTest.java index 02109ef..289ccf1 100644 --- a/src/test/java/org/apache/commons/math3/random/RandomAdaptorTest.java +++ b/src/test/java/org/apache/commons/math3/random/RandomAdaptorTest.java @@ -58,13 +58,13 @@ public class RandomAdaptorTest { * */ public static class ConstantGenerator implements RandomGenerator { - + private final double value; - + public ConstantGenerator() { value = 0; } - + public ConstantGenerator(double value) { this.value = value; } http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/RandomGeneratorAbstractTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/RandomGeneratorAbstractTest.java b/src/test/java/org/apache/commons/math3/random/RandomGeneratorAbstractTest.java index 0094553..0c492b1 100644 --- a/src/test/java/org/apache/commons/math3/random/RandomGeneratorAbstractTest.java +++ b/src/test/java/org/apache/commons/math3/random/RandomGeneratorAbstractTest.java @@ -66,7 +66,7 @@ public abstract class RandomGeneratorAbstractTest extends RandomDataGeneratorTes public void setUp() { generator = makeGenerator(); } - + // Omit secureXxx tests, since they do not use the provided generator @Override public void testNextSecureLongIAE() {} http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/SobolSequenceGeneratorTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/SobolSequenceGeneratorTest.java b/src/test/java/org/apache/commons/math3/random/SobolSequenceGeneratorTest.java index c09d09b..73f13f0 100644 --- a/src/test/java/org/apache/commons/math3/random/SobolSequenceGeneratorTest.java +++ b/src/test/java/org/apache/commons/math3/random/SobolSequenceGeneratorTest.java @@ -54,7 +54,7 @@ public class SobolSequenceGeneratorTest { Assert.assertEquals(i + 1, generator.getNextIndex()); } } - + @Test public void testConstructor() { try { @@ -63,7 +63,7 @@ public class SobolSequenceGeneratorTest { } catch (OutOfRangeException e) { // expected } - + try { new SobolSequenceGenerator(1001); Assert.fail("an exception should have been thrown"); @@ -82,7 +82,7 @@ public class SobolSequenceGeneratorTest { } catch (OutOfRangeException e) { // expected } - + try { new SobolSequenceGenerator(1001); Assert.fail("an exception should have been thrown"); @@ -96,7 +96,7 @@ public class SobolSequenceGeneratorTest { double[] result = generator.skipTo(5); Assert.assertArrayEquals(referenceValues[5], result, 1e-6); Assert.assertEquals(6, generator.getNextIndex()); - + for (int i = 6; i < referenceValues.length; i++) { result = generator.nextVector(); Assert.assertArrayEquals(referenceValues[i], result, 1e-6); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/StableRandomGeneratorTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/StableRandomGeneratorTest.java b/src/test/java/org/apache/commons/math3/random/StableRandomGeneratorTest.java index 5531ceb..8d75105 100644 --- a/src/test/java/org/apache/commons/math3/random/StableRandomGeneratorTest.java +++ b/src/test/java/org/apache/commons/math3/random/StableRandomGeneratorTest.java @@ -25,7 +25,7 @@ import org.junit.Test; /** * The class <code>StableRandomGeneratorTest</code> contains tests for the class * {@link StableRandomGenerator} - * + * */ public class StableRandomGeneratorTest { @@ -35,7 +35,7 @@ public class StableRandomGeneratorTest { /** * Run the double nextDouble() method test Due to leptokurtic property the * acceptance range is widened. - * + * * TODO: verify that tolerance this wide is really OK */ @Test @@ -128,4 +128,4 @@ public class StableRandomGeneratorTest { Assert.assertEquals(2.0, e.getArgument()); } } -} \ No newline at end of file +} http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/UnitSphereRandomVectorGeneratorTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/UnitSphereRandomVectorGeneratorTest.java b/src/test/java/org/apache/commons/math3/random/UnitSphereRandomVectorGeneratorTest.java index 4676a82..b1727b2 100644 --- a/src/test/java/org/apache/commons/math3/random/UnitSphereRandomVectorGeneratorTest.java +++ b/src/test/java/org/apache/commons/math3/random/UnitSphereRandomVectorGeneratorTest.java @@ -27,7 +27,7 @@ public class UnitSphereRandomVectorGeneratorTest { */ @Test public void test2DDistribution() { - + RandomGenerator rg = new JDKRandomGenerator(); rg.setSeed(17399225432l); UnitSphereRandomVectorGenerator generator = new UnitSphereRandomVectorGenerator(2, rg); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/ValueServerTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/ValueServerTest.java b/src/test/java/org/apache/commons/math3/random/ValueServerTest.java index 145b9b8..5fa29a2 100644 --- a/src/test/java/org/apache/commons/math3/random/ValueServerTest.java +++ b/src/test/java/org/apache/commons/math3/random/ValueServerTest.java @@ -76,12 +76,12 @@ public final class ValueServerTest { Assert.assertEquals("std dev", 1.0173699343977738, stats.getStandardDeviation(), tolerance); } - + /** * Verify that when provided with fixed seeds, stochastic modes * generate fixed sequences. Verifies the fix for MATH-654. */ - @Test + @Test public void testFixedSeed() throws Exception { ValueServer valueServer = new ValueServer(); URL url = getClass().getResource("testData.txt"); @@ -92,7 +92,7 @@ public final class ValueServerTest { checkFixedSeed(valueServer, ValueServer.GAUSSIAN_MODE); checkFixedSeed(valueServer, ValueServer.UNIFORM_MODE); } - + /** * Do the check for {@link #testFixedSeed()} * @param mode ValueServer mode @@ -108,7 +108,7 @@ public final class ValueServerTest { for (int i = 0; i < 100; i++) { values[1][i] = valueServer.getNext(); } - Assert.assertTrue(Arrays.equals(values[0], values[1])); + Assert.assertTrue(Arrays.equals(values[0], values[1])); } /** http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/Well19937aTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/Well19937aTest.java b/src/test/java/org/apache/commons/math3/random/Well19937aTest.java index ff9fe95..7db3428 100644 --- a/src/test/java/org/apache/commons/math3/random/Well19937aTest.java +++ b/src/test/java/org/apache/commons/math3/random/Well19937aTest.java @@ -20,7 +20,7 @@ import org.junit.Assert; import org.junit.Test; public class Well19937aTest extends RandomGeneratorAbstractTest { - + @Override public RandomGenerator makeGenerator() { return new Well19937a(100); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/Well19937cTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/Well19937cTest.java b/src/test/java/org/apache/commons/math3/random/Well19937cTest.java index a9f7a8e..1b0bf3f 100644 --- a/src/test/java/org/apache/commons/math3/random/Well19937cTest.java +++ b/src/test/java/org/apache/commons/math3/random/Well19937cTest.java @@ -20,7 +20,7 @@ import org.junit.Assert; import org.junit.Test; public class Well19937cTest extends RandomGeneratorAbstractTest { - + @Override public RandomGenerator makeGenerator() { return new Well19937c(100); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/Well44497aTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/Well44497aTest.java b/src/test/java/org/apache/commons/math3/random/Well44497aTest.java index ac46eb7..78500a6 100644 --- a/src/test/java/org/apache/commons/math3/random/Well44497aTest.java +++ b/src/test/java/org/apache/commons/math3/random/Well44497aTest.java @@ -20,12 +20,12 @@ import org.junit.Assert; import org.junit.Test; public class Well44497aTest extends RandomGeneratorAbstractTest { - + @Override public RandomGenerator makeGenerator() { return new Well44497a(100); } - + @Test public void testReferenceCode() { int[] base = { http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/Well44497bTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/Well44497bTest.java b/src/test/java/org/apache/commons/math3/random/Well44497bTest.java index 23be971..a3748bd 100644 --- a/src/test/java/org/apache/commons/math3/random/Well44497bTest.java +++ b/src/test/java/org/apache/commons/math3/random/Well44497bTest.java @@ -20,12 +20,12 @@ import org.junit.Assert; import org.junit.Test; public class Well44497bTest extends RandomGeneratorAbstractTest { - + @Override public RandomGenerator makeGenerator() { return new Well44497b(100); } - + @Test public void testReferenceCode() { int[] base = { http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/random/Well512aTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/random/Well512aTest.java b/src/test/java/org/apache/commons/math3/random/Well512aTest.java index 01cfe75..f88938a 100644 --- a/src/test/java/org/apache/commons/math3/random/Well512aTest.java +++ b/src/test/java/org/apache/commons/math3/random/Well512aTest.java @@ -20,7 +20,7 @@ import org.junit.Assert; import org.junit.Test; public class Well512aTest extends RandomGeneratorAbstractTest { - + @Override public RandomGenerator makeGenerator() { return new Well512a(101); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/special/BesselJTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/special/BesselJTest.java b/src/test/java/org/apache/commons/math3/special/BesselJTest.java index 7477bf4..83ec982 100644 --- a/src/test/java/org/apache/commons/math3/special/BesselJTest.java +++ b/src/test/java/org/apache/commons/math3/special/BesselJTest.java @@ -35,7 +35,7 @@ public class BesselJTest { * near.eight = 8 + seq(-.5,.5,.1) * largexs = c(10,30,100,300,1000) * xs = unique(sort(c(smallxs, medxs, near.eight,largexs))) - * + * * for (n in c(0:15, 30, 100)) { * for (x in xs) { * val = format( besselJ(x,n), digits=20 ) @@ -763,12 +763,12 @@ public class BesselJTest { Assert.assertEquals(msg, expected, actual, tol); } } - + @Test(expected=MathIllegalArgumentException.class) public void testIAEBadOrder() { BesselJ.value(-1, 1); } - + @Test(expected=MathIllegalArgumentException.class) public void testIAEBadArgument() { BesselJ.value(1, 100000); http://git-wip-us.apache.org/repos/asf/commons-math/blob/ff35e6f2/src/test/java/org/apache/commons/math3/special/ErfTest.java ---------------------------------------------------------------------- diff --git a/src/test/java/org/apache/commons/math3/special/ErfTest.java b/src/test/java/org/apache/commons/math3/special/ErfTest.java index 3e26662..6a1b86d 100644 --- a/src/test/java/org/apache/commons/math3/special/ErfTest.java +++ b/src/test/java/org/apache/commons/math3/special/ErfTest.java @@ -89,7 +89,7 @@ public class ErfTest { Assert.assertEquals(expected, actual, 1.0e-5); Assert.assertEquals(1 - expected, Erf.erfc(-x), 1.0e-5); } - + /** * MATH-301, MATH-456 */ @@ -107,14 +107,14 @@ public class ErfTest { Assert.assertTrue(result >= 0 && result < 1); result = Erf.erfc(-i); Assert.assertFalse(Double.isNaN(result)); - Assert.assertTrue(result >= 1 && result <= 2); + Assert.assertTrue(result >= 1 && result <= 2); } Assert.assertEquals(-1, Erf.erf(Double.NEGATIVE_INFINITY), 0); Assert.assertEquals(1, Erf.erf(Double.POSITIVE_INFINITY), 0); Assert.assertEquals(2, Erf.erfc(Double.NEGATIVE_INFINITY), 0); Assert.assertEquals(0, Erf.erfc(Double.POSITIVE_INFINITY), 0); } - + /** * Compare Erf.erf against reference values computed using GCC 4.2.1 (Apple OSX packaged version) * erfl (extended precision erf). @@ -122,15 +122,15 @@ public class ErfTest { @Test public void testErfGnu() { final double tol = 1E-15; - final double[] gnuValues = new double[] {-1, -1, -1, -1, -1, - -1, -1, -1, -0.99999999999999997848, - -0.99999999999999264217, -0.99999999999846254017, -0.99999999980338395581, -0.99999998458274209971, - -0.9999992569016276586, -0.99997790950300141459, -0.99959304798255504108, -0.99532226501895273415, - -0.96610514647531072711, -0.84270079294971486948, -0.52049987781304653809, 0, - 0.52049987781304653809, 0.84270079294971486948, 0.96610514647531072711, 0.99532226501895273415, - 0.99959304798255504108, 0.99997790950300141459, 0.9999992569016276586, 0.99999998458274209971, - 0.99999999980338395581, 0.99999999999846254017, 0.99999999999999264217, 0.99999999999999997848, - 1, 1, 1, 1, + final double[] gnuValues = new double[] {-1, -1, -1, -1, -1, + -1, -1, -1, -0.99999999999999997848, + -0.99999999999999264217, -0.99999999999846254017, -0.99999999980338395581, -0.99999998458274209971, + -0.9999992569016276586, -0.99997790950300141459, -0.99959304798255504108, -0.99532226501895273415, + -0.96610514647531072711, -0.84270079294971486948, -0.52049987781304653809, 0, + 0.52049987781304653809, 0.84270079294971486948, 0.96610514647531072711, 0.99532226501895273415, + 0.99959304798255504108, 0.99997790950300141459, 0.9999992569016276586, 0.99999998458274209971, + 0.99999999980338395581, 0.99999999999846254017, 0.99999999999999264217, 0.99999999999999997848, + 1, 1, 1, 1, 1, 1, 1, 1}; double x = -10d; for (int i = 0; i < 41; i++) { @@ -138,7 +138,7 @@ public class ErfTest { x += 0.5d; } } - + /** * Compare Erf.erfc against reference values computed using GCC 4.2.1 (Apple OSX packaged version) * erfcl (extended precision erfc). @@ -146,15 +146,15 @@ public class ErfTest { @Test public void testErfcGnu() { final double tol = 1E-15; - final double[] gnuValues = new double[] { 2, 2, 2, 2, 2, - 2, 2, 2, 1.9999999999999999785, - 1.9999999999999926422, 1.9999999999984625402, 1.9999999998033839558, 1.9999999845827420998, - 1.9999992569016276586, 1.9999779095030014146, 1.9995930479825550411, 1.9953222650189527342, - 1.9661051464753107271, 1.8427007929497148695, 1.5204998778130465381, 1, - 0.47950012218695346194, 0.15729920705028513051, 0.033894853524689272893, 0.0046777349810472658333, - 0.00040695201744495893941, 2.2090496998585441366E-05, 7.4309837234141274516E-07, 1.5417257900280018858E-08, - 1.966160441542887477E-10, 1.5374597944280348501E-12, 7.3578479179743980661E-15, 2.1519736712498913103E-17, - 3.8421483271206474691E-20, 4.1838256077794144006E-23, 2.7766493860305691016E-26, 1.1224297172982927079E-29, + final double[] gnuValues = new double[] { 2, 2, 2, 2, 2, + 2, 2, 2, 1.9999999999999999785, + 1.9999999999999926422, 1.9999999999984625402, 1.9999999998033839558, 1.9999999845827420998, + 1.9999992569016276586, 1.9999779095030014146, 1.9995930479825550411, 1.9953222650189527342, + 1.9661051464753107271, 1.8427007929497148695, 1.5204998778130465381, 1, + 0.47950012218695346194, 0.15729920705028513051, 0.033894853524689272893, 0.0046777349810472658333, + 0.00040695201744495893941, 2.2090496998585441366E-05, 7.4309837234141274516E-07, 1.5417257900280018858E-08, + 1.966160441542887477E-10, 1.5374597944280348501E-12, 7.3578479179743980661E-15, 2.1519736712498913103E-17, + 3.8421483271206474691E-20, 4.1838256077794144006E-23, 2.7766493860305691016E-26, 1.1224297172982927079E-29, 2.7623240713337714448E-33, 4.1370317465138102353E-37, 3.7692144856548799402E-41, 2.0884875837625447567E-45}; double x = -10d; for (int i = 0; i < 41; i++) { @@ -162,9 +162,9 @@ public class ErfTest { x += 0.5d; } } - + /** - * Tests erfc against reference data computed using Maple reported in Marsaglia, G,, + * Tests erfc against reference data computed using Maple reported in Marsaglia, G,, * "Evaluating the Normal Distribution," Journal of Statistical Software, July, 2004. * http//www.jstatsoft.org/v11/a05/paper */ @@ -176,13 +176,13 @@ public class ErfTest { {2.3, 1.07241100216758e-02}, {3.4, 3.36929265676881e-04}, {4.5, 3.39767312473006e-06}, - {5.6, 1.07175902583109e-08}, + {5.6, 1.07175902583109e-08}, {6.7, 1.04209769879652e-11}, {7.8, 3.09535877195870e-15}, {8.9, 2.79233437493966e-19}, {10.0, 7.61985302416053e-24}, {11.1, 6.27219439321703e-29}, - {12.2, 1.55411978638959e-34}, + {12.2, 1.55411978638959e-34}, {13.3, 1.15734162836904e-40}, {14.4, 2.58717592540226e-47}, {15.5, 1.73446079179387e-54}, @@ -194,7 +194,7 @@ public class ErfTest { TestUtils.assertRelativelyEquals(ref[i][1], result, 1E-13); } } - + /** * Test the implementation of Erf.erf(double, double) for consistency with results * obtained from Erf.erf(double) and Erf.erfc(double).
