Close Javadoc tags.
diff --git a/src/main/java/org/apache/commons/lang3/Streams.java b/src/main/java/org/apache/commons/lang3/Streams.java
index c284944..7333037 100644
--- a/src/main/java/org/apache/commons/lang3/Streams.java
+++ b/src/main/java/org/apache/commons/lang3/Streams.java
@@ -101,7 +101,9 @@
* Returns a FailableStream consisting of the elements of this stream that match
* the given FailablePredicate.
*
- * <p>This is an intermediate operation.
+ * <p>
+ * This is an intermediate operation.
+ * </p>
*
* @param predicate a non-interfering, stateless predicate to apply to each
* element to determine if it should be included.
@@ -116,15 +118,19 @@
/**
* Performs an action for each element of this stream.
*
- * <p>This is a terminal operation.
+ * <p>
+ * This is an intermediate operation.
+ * </p>
*
- * <p>The behavior of this operation is explicitly nondeterministic.
+ * <p>
+ * The behavior of this operation is explicitly nondeterministic.
* For parallel stream pipelines, this operation does <em>not</em>
* guarantee to respect the encounter order of the stream, as doing so
* would sacrifice the benefit of parallelism. For any given element, the
* action may be performed at whatever time and in whatever thread the
* library chooses. If the action accesses shared state, it is
* responsible for providing the required synchronization.
+ * </p>
*
* @param action a non-interfering action to perform on the elements
*/
@@ -141,33 +147,44 @@
* collection strategies and composition of collect operations such as
* multiple-level grouping or partitioning.
*
- * <p>If the underlying stream is parallel, and the {@code Collector}
+ * <p>
+ * If the underlying stream is parallel, and the {@code Collector}
* is concurrent, and either the stream is unordered or the collector is
* unordered, then a concurrent reduction will be performed
* (see {@link Collector} for details on concurrent reduction.)
+ * </p>
*
- * <p>This is a terminal operation.
+ * <p>
+ * This is an intermediate operation.
+ * </p>
*
- * <p>When executed in parallel, multiple intermediate results may be
+ * <p>
+ * When executed in parallel, multiple intermediate results may be
* instantiated, populated, and merged so as to maintain isolation of
* mutable data structures. Therefore, even when executed in parallel
* with non-thread-safe data structures (such as {@code ArrayList}), no
* additional synchronization is needed for a parallel reduction.
- *
+ * </p>
+ * <p>
* Note
* The following will accumulate strings into an ArrayList:
+ * </p>
* <pre>{@code
* List<String> asList = stringStream.collect(Collectors.toList());
* }</pre>
*
- * <p>The following will classify {@code Person} objects by city:
+ * <p>
+ * The following will classify {@code Person} objects by city:
+ * </p>
* <pre>{@code
* Map<String, List<Person>> peopleByCity
* = personStream.collect(Collectors.groupingBy(Person::getCity));
* }</pre>
*
- * <p>The following will classify {@code Person} objects by state and city,
+ * <p>
+ * The following will classify {@code Person} objects by state and city,
* cascading two {@code Collector}s together:
+ * </p>
* <pre>{@code
* Map<String, Map<String, List<Person>>> peopleByStateAndCity
* = personStream.collect(Collectors.groupingBy(Person::getState,
@@ -198,21 +215,29 @@
* return result;
* }</pre>
*
- * <p>Like {@link #reduce(Object, BinaryOperator)}, {@code collect} operations
+ * <p>
+ * Like {@link #reduce(Object, BinaryOperator)}, {@code collect} operations
* can be parallelized without requiring additional synchronization.
+ * </p>
*
- * <p>This is a terminal operation.
+ * <p>
+ * This is an intermediate operation.
+ * </p>
*
+ * <p>
* Note There are many existing classes in the JDK whose signatures are
* well-suited for use with method references as arguments to {@code collect()}.
* For example, the following will accumulate strings into an {@code ArrayList}:
+ * </p>
* <pre>{@code
* List<String> asList = stringStream.collect(ArrayList::new, ArrayList::add,
* ArrayList::addAll);
* }</pre>
*
- * <p>The following will take a stream of strings and concatenates them into a
+ * <p>
+ * The following will take a stream of strings and concatenates them into a
* single string:
+ * </p>
* <pre>{@code
* String concat = stringStream.collect(StringBuilder::new, StringBuilder::append,
* StringBuilder::append)
@@ -249,12 +274,16 @@
*
* but is not constrained to execute sequentially.
*
- * <p>The {@code identity} value must be an identity for the accumulator
+ * <p>
+ * The {@code identity} value must be an identity for the accumulator
* function. This means that for all {@code t},
* {@code accumulator.apply(identity, t)} is equal to {@code t}.
* The {@code accumulator} function must be an associative function.
+ * </p>
*
- * <p>This is a terminal operation.
+ * <p>
+ * This is an intermediate operation.
+ * </p>
*
* Note Sum, min, max, average, and string concatenation are all special
* cases of reduction. Summing a stream of numbers can be expressed as:
@@ -269,10 +298,12 @@
* Integer sum = integers.reduce(0, Integer::sum);
* }</pre>
*
- * <p>While this may seem a more roundabout way to perform an aggregation
+ * <p>
+ * While this may seem a more roundabout way to perform an aggregation
* compared to simply mutating a running total in a loop, reduction
* operations parallelize more gracefully, without needing additional
* synchronization and with greatly reduced risk of data races.
+ * </p>
*
* @param identity the identity value for the accumulating function
* @param accumulator an associative, non-interfering, stateless
@@ -288,7 +319,9 @@
* Returns a stream consisting of the results of applying the given
* function to the elements of this stream.
*
- * <p>This is an intermediate operation.
+ * <p>
+ * This is an intermediate operation.
+ * </p>
*
* @param <R> The element type of the new stream
* @param mapper A non-interfering, stateless function to apply to each element
@@ -313,13 +346,17 @@
* determining the result. If the stream is empty then {@code true} is
* returned and the predicate is not evaluated.
*
- * <p>This is a short-circuiting terminal operation.
+ * <p>
+ * This is a short-circuiting terminal operation.
+ * </p>
*
+ * <p>
* Note
* This method evaluates the <em>universal quantification</em> of the
* predicate over the elements of the stream (for all x P(x)). If the
* stream is empty, the quantification is said to be <em>vacuously
* satisfied</em> and is always {@code true} (regardless of P(x)).
+ * </p>
*
* @param predicate A non-interfering, stateless predicate to apply to
* elements of this stream
@@ -337,7 +374,9 @@
* necessary for determining the result. If the stream is empty then
* {@code false} is returned and the predicate is not evaluated.
*
- * <p>This is a short-circuiting terminal operation.
+ * <p>
+ * This is a short-circuiting terminal operation.
+ * </p>
*
* Note
* This method evaluates the <em>existential quantification</em> of the
diff --git a/src/main/java/org/apache/commons/lang3/stream/Streams.java b/src/main/java/org/apache/commons/lang3/stream/Streams.java
index fd981e6..cd112e7 100644
--- a/src/main/java/org/apache/commons/lang3/stream/Streams.java
+++ b/src/main/java/org/apache/commons/lang3/stream/Streams.java
@@ -43,7 +43,7 @@
* {@code java.util.stream} package, or more generally, with Java 8 lambdas. More
* specifically, it attempts to address the fact that lambdas are supposed
* not to throw Exceptions, at least not checked Exceptions, AKA instances
- * of {@link Exception}. This enforces the use of constructs like
+ * of {@link Exception}. This enforces the use of constructs like:
* <pre>
* Consumer<java.lang.reflect.Method> consumer = m -> {
* try {
@@ -54,7 +54,9 @@
* };
* stream.forEach(consumer);
* </pre>
+ * <p>
* Using a {@link FailableStream}, this can be rewritten as follows:
+ * </p>
* <pre>
* Streams.failable(stream).forEach((m) -> m.invoke(o, args));
* </pre>
@@ -140,6 +142,7 @@
*
* <p>
* This is a short-circuiting terminal operation.
+ * </p>
*
* Note This method evaluates the <em>universal quantification</em> of the predicate over the elements of
* the stream (for all x P(x)). If the stream is empty, the quantification is said to be <em>vacuously
@@ -161,6 +164,7 @@
*
* <p>
* This is a short-circuiting terminal operation.
+ * </p>
*
* Note This method evaluates the <em>existential quantification</em> of the predicate over the elements of
* the stream (for some x P(x)).
@@ -194,15 +198,18 @@
* If the underlying stream is parallel, and the {@code Collector} is concurrent, and either the stream is
* unordered or the collector is unordered, then a concurrent reduction will be performed (see {@link Collector}
* for details on concurrent reduction.)
+ * </p>
*
* <p>
* This is a terminal operation.
+ * </p>
*
* <p>
* When executed in parallel, multiple intermediate results may be instantiated, populated, and merged so as to
* maintain isolation of mutable data structures. Therefore, even when executed in parallel with non-thread-safe
* data structures (such as {@code ArrayList}), no additional synchronization is needed for a parallel
* reduction.
+ * </p>
*
* Note The following will accumulate strings into an ArrayList:
*
@@ -214,6 +221,7 @@
*
* <p>
* The following will classify {@code Person} objects by city:
+ * </p>
*
* <pre>
* {@code
@@ -224,6 +232,7 @@
* <p>
* The following will classify {@code Person} objects by state and city, cascading two {@code Collector}s
* together:
+ * </p>
*
* <pre>
* {@code
@@ -262,9 +271,11 @@
* <p>
* Like {@link #reduce(Object, BinaryOperator)}, {@code collect} operations can be parallelized without
* requiring additional synchronization.
+ * </p>
*
* <p>
* This is a terminal operation.
+ * </p>
*
* Note There are many existing classes in the JDK whose signatures are well-suited for use with method
* references as arguments to {@code collect()}. For example, the following will accumulate strings into an
@@ -278,6 +289,7 @@
*
* <p>
* The following will take a stream of strings and concatenates them into a single string:
+ * </p>
*
* <pre>
* {@code
@@ -307,6 +319,7 @@
*
* <p>
* This is an intermediate operation.
+ * </p>
*
* @param predicate a non-interfering, stateless predicate to apply to each element to determine if it should be
* included.
@@ -323,6 +336,7 @@
*
* <p>
* This is a terminal operation.
+ * </p>
*
* <p>
* The behavior of this operation is explicitly nondeterministic. For parallel stream pipelines, this operation
@@ -330,6 +344,7 @@
* benefit of parallelism. For any given element, the action may be performed at whatever time and in whatever
* thread the library chooses. If the action accesses shared state, it is responsible for providing the required
* synchronization.
+ * </p>
*
* @param action a non-interfering action to perform on the elements
*/
@@ -353,6 +368,7 @@
*
* <p>
* This is an intermediate operation.
+ * </p>
*
* @param <R> The element type of the new stream
* @param mapper A non-interfering, stateless function to apply to each element
@@ -382,9 +398,11 @@
* The {@code identity} value must be an identity for the accumulator function. This means that for all
* {@code t}, {@code accumulator.apply(identity, t)} is equal to {@code t}. The {@code accumulator} function
* must be an associative function.
+ * </p>
*
* <p>
* This is a terminal operation.
+ * </p>
*
* Note Sum, min, max, average, and string concatenation are all special cases of reduction. Summing a
* stream of numbers can be expressed as:
@@ -407,6 +425,7 @@
* While this may seem a more roundabout way to perform an aggregation compared to simply mutating a running
* total in a loop, reduction operations parallelize more gracefully, without needing additional synchronization
* and with greatly reduced risk of data races.
+ * </p>
*
* @param identity the identity value for the accumulating function
* @param accumulator an associative, non-interfering, stateless function for combining two values
