Remove deprecated contructors in UniformRealDistribution.

src/main/java/org/apache/commons/math4/distribution/UniformRealDistribution.java

@@ -32,11 +32,6 @@ import org.apache.commons.math4.random.Well19937c;
  * @since 3.0
  */
 public class UniformRealDistribution extends AbstractRealDistribution {
-    /** Default inverse cumulative probability accuracy.
-     * @deprecated as of 3.2 not used anymore, will be removed in 4.0
-     */
-    @Deprecated
-    public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY = 1e-9;
     /** Serializable version identifier. */
     private static final long serialVersionUID = 20120109L;
     /** Lower bound of this distribution (inclusive). */
@@ -79,43 +74,6 @@ public class UniformRealDistribution extends AbstractRealDistribution {
         this(new Well19937c(), lower, upper);
     }
 
-    /**
-     * Create a uniform distribution.
-     *
-     * @param lower Lower bound of this distribution (inclusive).
-     * @param upper Upper bound of this distribution (exclusive).
-     * @param inverseCumAccuracy Inverse cumulative probability accuracy.
-     * @throws NumberIsTooLargeException if {@code lower >= upper}.
-     * @deprecated as of 3.2, inverse CDF is now calculated analytically, use
-     *             {@link #UniformRealDistribution(double, double)} instead.
-     */
-    @Deprecated
-    public UniformRealDistribution(double lower, double upper, double inverseCumAccuracy)
-        throws NumberIsTooLargeException {
-        this(new Well19937c(), lower, upper);
-    }
-
-    /**
-     * Creates a uniform distribution.
-     *
-     * @param rng Random number generator.
-     * @param lower Lower bound of this distribution (inclusive).
-     * @param upper Upper bound of this distribution (exclusive).
-     * @param inverseCumAccuracy Inverse cumulative probability accuracy.
-     * @throws NumberIsTooLargeException if {@code lower >= upper}.
-     * @since 3.1
-     * @deprecated as of 3.2, inverse CDF is now calculated analytically, use
-     *             {@link #UniformRealDistribution(RandomGenerator, double, double)}
-     *             instead.
-     */
-    @Deprecated
-    public UniformRealDistribution(RandomGenerator rng,
-                                   double lower,
-                                   double upper,
-                                   double inverseCumAccuracy){
-        this(rng, lower, upper);
-    }
-
     /**
      * Creates a uniform distribution.
      *

src/test/java/org/apache/commons/math4/fitting/leastsquares/RandomCirclePointGenerator.java

@@ -58,8 +58,7 @@ public class RandomCirclePointGenerator {
                                     NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
         cY = new NormalDistribution(rng, y, ySigma,
                                     NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
-        tP = new UniformRealDistribution(rng, 0, MathUtils.TWO_PI,
+        tP = new UniformRealDistribution(rng, 0, MathUtils.TWO_PI);
-                                         UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
     }
 
     /**

src/test/java/org/apache/commons/math4/fitting/leastsquares/RandomStraightLinePointGenerator.java

@@ -66,8 +66,7 @@ public class RandomStraightLinePointGenerator {
         intercept = b;
         error = new NormalDistribution(rng, 0, sigma,
                                        NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
-        x = new UniformRealDistribution(rng, lo, hi,
+        x = new UniformRealDistribution(rng, lo, hi);
-                                        UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
     }
 
     /**

src/test/java/org/apache/commons/math4/optim/nonlinear/vector/jacobian/RandomCirclePointGenerator.java

@@ -59,8 +59,7 @@ public class RandomCirclePointGenerator {
                                     NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
         cY = new NormalDistribution(rng, y, ySigma,
                                     NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
-        tP = new UniformRealDistribution(rng, 0, MathUtils.TWO_PI,
+        tP = new UniformRealDistribution(rng, 0, MathUtils.TWO_PI);
-                                         UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
     }
 
     /**

src/test/java/org/apache/commons/math4/optim/nonlinear/vector/jacobian/RandomStraightLinePointGenerator.java

@@ -67,8 +67,7 @@ public class RandomStraightLinePointGenerator {
         intercept = b;
         error = new NormalDistribution(rng, 0, sigma,
                                        NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
-        x = new UniformRealDistribution(rng, lo, hi,
+        x = new UniformRealDistribution(rng, lo, hi);
-                                        UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
     }
 
     /**

src/test/java/org/apache/commons/math4/optimization/general/RandomCirclePointGenerator.java

@@ -60,8 +60,7 @@ public class RandomCirclePointGenerator {
                                     NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
         cY = new NormalDistribution(rng, y, ySigma,
                                     NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
-        tP = new UniformRealDistribution(rng, 0, MathUtils.TWO_PI,
+        tP = new UniformRealDistribution(rng, 0, MathUtils.TWO_PI);
-                                         UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
     }
 
     /**

src/test/java/org/apache/commons/math4/optimization/general/RandomStraightLinePointGenerator.java

@@ -67,8 +67,7 @@ public class RandomStraightLinePointGenerator {
         intercept = b;
         error = new NormalDistribution(rng, 0, sigma,
                                        NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
-        x = new UniformRealDistribution(rng, lo, hi,
+        x = new UniformRealDistribution(rng, lo, hi);
-                                        UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
     }
 
     /**

src/test/java/org/apache/commons/math4/random/EmpiricalDistributionTest.java

@@ -44,9 +44,7 @@ import org.junit.Test;
 
 /**
  * Test cases for the EmpiricalDistribution class
- *
  */
-
 public final class EmpiricalDistributionTest extends RealDistributionAbstractTest {
 
     protected EmpiricalDistribution empiricalDistribution = null;
@@ -542,8 +540,7 @@ public final class EmpiricalDistributionTest extends RealDistributionAbstractTes
         }
         @Override
         protected RealDistribution getKernel(SummaryStatistics bStats) {
-            return new UniformRealDistribution(randomData.getRandomGenerator(), bStats.getMin(), bStats.getMax(),
+            return new UniformRealDistribution(randomData.getRandomGenerator(), bStats.getMin(), bStats.getMax());
-                    UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
         }
     }
 }