MINOR: JavaDoc improvements for RangeAssignor (#4079)

clients/src/main/java/org/apache/kafka/clients/consumer/RangeAssignor.java

@@ -26,17 +26,20 @@ import java.util.List;
 import java.util.Map;
 
 /**
- * The range assignor works on a per-topic basis. For each topic, we lay out the available partitions in numeric order
+ * <p>The range assignor works on a per-topic basis. For each topic, we lay out the available partitions in numeric order
  * and the consumers in lexicographic order. We then divide the number of partitions by the total number of
  * consumers to determine the number of partitions to assign to each consumer. If it does not evenly
  * divide, then the first few consumers will have one extra partition.
  *
- * For example, suppose there are two consumers C0 and C1, two topics t0 and t1, and each topic has 3 partitions,
- * resulting in partitions t0p0, t0p1, t0p2, t1p0, t1p1, and t1p2.
+ * <p>For example, suppose there are two consumers <code>C0</code> and <code>C1</code>, two topics <code>t0</code> and
+ * <code>t1</code>, and each topic has 3 partitions, resulting in partitions <code>t0p0</code>, <code>t0p1</code>,
+ * <code>t0p2</code>, <code>t1p0</code>, <code>t1p1</code>, and <code>t1p2</code>.
  *
- * The assignment will be:
- * C0: [t0p0, t0p1, t1p0, t1p1]
- * C1: [t0p2, t1p2]
+ * <p>The assignment will be:
+ * <ul>
+ * <li><code>C0: [t0p0, t0p1, t1p0, t1p1]</code></li>
+ * <li><code>C1: [t0p2, t1p2]</code></li>
+ * </ul>
  */
 public class RangeAssignor extends AbstractPartitionAssignor {
 

streams/src/main/java/org/apache/kafka/streams/kstream/Transformer.java

@@ -24,7 +24,7 @@ import org.apache.kafka.streams.processor.StateStore;
 import org.apache.kafka.streams.processor.TimestampExtractor;
 
 /**
- * The {@code Transformer} interface for stateful mapping of an input record to zero, one, or multiple new output
+ * The {@code Transformer} interface is for stateful mapping of an input record to zero, one, or multiple new output
  * records (both key and value type can be altered arbitrarily).
  * This is a stateful record-by-record operation, i.e, {@link #transform(Object, Object)} is invoked individually for
  * each record of a stream and can access and modify a state that is available beyond a single call of