* inputs. All valid inputs must pass this regex, but it's semantically fine if not all inputs
   * that pass this regex are valid -- only a performance hit is incurred, not a semantics bug.
   */
  @GwtIncompatible // regular expressions
  static final
  java.util.regex.Pattern
      FLOATING_POINT_PATTERN = fpPattern();

   *
   * <p><b>Note:</b> if you won't be adding any elements to the list, use {@link ImmutableList#of()}
   * instead.
   *
   * <p><b>Performance note:</b> {@link ArrayList} and {@link java.util.ArrayDeque} consistently
   * outperform {@code LinkedList} except in certain rare and specific situations. Unless you have

Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.
This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**

import japicmp.model.JApiMethod
import javassist.bytecode.SourceFileAttribute
import java.io.File


/**
 * Repository of sources for binary compatibility checks.
 *
 * `WARN` Holds resources open for performance, must be closed after use.
 */
class BinaryCompatibilityRepository internal constructor(

    private
    val sources: SourcesRepository

) : AutoCloseable {

    companion object {

      label: Affected product area
      options:
      - label: "Ambient"
      - label: "Docs"
      - label: "Dual Stack"
      - label: "Installation"
      - label: "Networking"
      - label: "Performance and Scalability"
      - label: "Extensions and Telemetry"
      - label: "Security"
      - label: "Test and Release"
      - label: "User Experience"
      - label: "Developer Infrastructure"
      - label: "Upgrade"

regular | standard | 97 | 3.6MB
regular | jstream | 175 | 2.1MB
large | standard | 92 | 305MB
large | jstream | 404 | 69MB

In a real world scenario, including initialization and reader overhead from varying blob sizes, performance can be expected as below:

 *
 * <p>An instance may be called concurrently by multiple threads to process different entries.
 * Implementations of this interface should avoid performing blocking calls or synchronizing on
 * shared resources.
 *
 * @param <K> the most general type of keys this listener can listen for; for example {@code Object}
 *     if any key is acceptable

        replicas taking part in sync training.
    *   Performance improvements for GPU multi-worker distributed training using
        `tf.distribute.experimental.MultiWorkerMirroredStrategy`
    *   Update NVIDIA `NCCL` to `2.5.7-1` for better performance and performance
        tuning. Please see

 *
 * We perform this filtering, since if we simply include all external dependencies, regardless of whether
 * they are already loaded transitively, there is a measurable performance impact during module-loading.
 */
fun computeExternalDependenciesNotAccessibleFromProjectDependencies(
    rootComponent: ResolvedComponentResult,
    rootVariant: ResolvedVariantResult
): Set<ComponentIdentifier> {

        if ((s.length() > 1) && s.startsWith("0")) {
            return null;
        }
        return tryParseInt(s);
    }

    private static Integer tryParseInt(String s) {
        // for performance, check digits instead of relying later on catching NumberFormatException
        if (!isDigits(s)) {
            return null;
        }

        try {
            long longValue = Long.parseLong(s);