Comparing RDD of org.apache.spark.sql.Row containing byte[] as values fails for the same provided RDD

Hello!
There are some issues with the spark library test base when we are using byte[] values in org.apache.spark.sql.Row.
The below tests were tested on s both spark test versions: 1.6.0 and 2.3.0.

The following code will always fail:

import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.RowFactory;
import org.junit.Test;

import scala.Option;
import scala.Tuple3;

import com.holdenkarau.spark.testing.JavaRDDComparisons;
import com.holdenkarau.spark.testing.SharedJavaSparkContext;

public class SparkSQLRowValueBytesFailedTests extends SharedJavaSparkContext
implements Serializable {
@Test
public void testSQLRowWithValueBytesFailes() throws Exception {

	Row row1 = RowFactory
			.create(new Object[] { "bytes".getBytes(), "good" });// it fails

	List<Row> rows = new ArrayList<>();

	rows.add(row1);
	
	JavaRDD<Row> expected = jsc().parallelize(rows);

	Option<Tuple3<Row, Integer, Integer>> diff2 = JavaRDDComparisons
			.compareRDD(expected, expected);
	
	//This fails		
	assertEquals(scala.None$.MODULE$, diff2);

}

//While this test passes

@Test
public void testSQLRowWithValueString() throws Exception {

	Row row1 = RowFactory
			.create(new Object[] { "bytes", "good" });// it fails

	List<Row> rows = new ArrayList<>();

	rows.add(row1);
	// rows.add(row2);

	JavaRDD<Row> expected = jsc().parallelize(rows);

	Option<Tuple3<Row, Integer, Integer>> diff2= JavaRDDComparisons
			.compareRDD(expected, expected);

//this passes
assertEquals(scala.None$.MODULE$, diff2);

}

}

Start at JavaRDDComparisons.compareRDD and reproduce the provided Spark SQL Row cases with byte[] and String values. Compare the returned diff2 values and the failing assertEquals expectation; done means comparing the same RDD containing byte[] values returns scala.None$.MODULE$ as it does for String values.