* Then check if the question (the vast majority are questions) is **clear**.

* In many cases the question asked is about an imaginary solution from the user, but there might be a **better** one. If you can understand the problem and use case better, you might be able to suggest a better **alternative solution**.

* If you can't understand the question, ask for more **details**.

### Reproduce the problem { #reproduce-the-problem }

   * stream is empty.
   *
   * <p>Equivalent to {@code stream.reduce((a, b) -> b)}, but may perform significantly better. This
   * method's runtime will be between O(log n) and O(n), performing better on <a
   * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>
   * streams.
   *

        md4.update(Strings.getUNIBytes(password));
        return md4.digest();
    }

    /**
     * Generates the NT password hash for the given password.
     * This version accepts char[] for better security.
     *
     * @param password the password to hash as char array
     * @return nt password hash
     */
    public static byte[] getNTHash(final char[] password) {
        if (password == null) {

- **Switch Expressions** - Optimized implementations using switch expressions for better performance
- **Sequenced Collections** - Full support for Java 21 sequenced collections API with dedicated utility methods
- **Performance Focused** - Optimized implementations for better runtime performance with reduced memory allocation
- **Type Safe** - Comprehensive use of generics and modern Java type system features

### Is concurrency better than parallelism? { #is-concurrency-better-than-parallelism }

Nope! That's not the moral of the story.

Concurrency is different than parallelism. And it is better on **specific** scenarios that involve a lot of waiting. Because of that, it generally is a lot better than parallelism for web application development. But not for everything.

 * of EventBus may be better written using <a
 * href="https://kotlinlang.org/docs/coroutines-guide.html">Kotlin coroutines</a>, including <a
 * href="https://kotlinlang.org/docs/flow.html">Flow</a> and <a
 * href="https://kotlinlang.org/docs/channels.html">Channels</a>. Yet other usages are better served
 * by individual libraries that provide specialized support for particular use cases.
 *

                            resolved = conflictResolver.resolveConflict(previous, node);
                        }

                        if (resolved == null) {
                            // TODO add better exception that can detail the two conflicting artifacts
                            ArtifactResolutionException are = new ArtifactResolutionException(

        return readDirect(b, off, len);
    }

    /**
     * Reads up to len bytes of data from this input stream into an array of bytes.
     * Optimized for better performance with larger read sizes and reduced round trips.
     *
     * @param b the buffer to read into
     * @param off the offset in the buffer to start writing
     * @param len the maximum number of bytes to read

But I'll show you how to improve that next. 🤓

## Custom Operation IDs and Better Method Names { #custom-operation-ids-and-better-method-names }

You can **modify** the way these operation IDs are **generated** to make them simpler and have **simpler method names** in the clients.

 *
 * @author Dimitris Andreou
 * @author Kurt Alfred Kluever
 */
enum BloomFilterStrategies implements BloomFilter.Strategy {
  /**
   * See "Less Hashing, Same Performance: Building a Better Bloom Filter" by Adam Kirsch and Michael
   * Mitzenmacher. The paper argues that this trick doesn't significantly deteriorate the
   * performance of a Bloom filter (yet only needs two 32bit hash functions).
   */