Fix the test

core/src/main/scala/org/apache/spark/api/java/JavaDoubleRDD.scala

@@ -191,8 +191,8 @@ class JavaDoubleRDD(val srdd: RDD[scala.Double]) extends JavaRDDLike[Double, Jav
    * the maximum value of the last position and all NaN entries will be counted
    * in that bucket.
    */
-  def histogram(buckets: Array[Double]): Array[Long] = {
-    srdd.histogram(buckets.map(_.toDouble), false)
+  def histogram(buckets: Array[scala.Double]): Array[Long] = {
+    srdd.histogram(buckets, false)
   }
 
   def histogram(buckets: Array[Double], evenBuckets: Boolean): Array[Long] = {

core/src/test/scala/org/apache/spark/JavaAPISuite.java

@@ -368,10 +368,10 @@ public class JavaAPISuite implements Serializable {
   public void javaDoubleRDDHistoGram() {
    JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 2.0, 3.0, 4.0));
    // Test using generated buckets
-   Tuple2<Double[], long[]> results = rdd.histogram(2);
-   Double[] expected_buckets = {1.0, 2.5, 4.0};
+   Tuple2<double[], long[]> results = rdd.histogram(2);
+   double[] expected_buckets = {1.0, 2.5, 4.0};
    long[] expected_counts = {2, 2};
-   Assert.assertArrayEquals(expected_buckets, results._1);
+   Assert.assertArrayEquals(expected_buckets, results._1, 0.1);
    Assert.assertArrayEquals(expected_counts, results._2);
    // Test with provided buckets
    long[] histogram = rdd.histogram(expected_buckets);