* of the same type are available.
 * <p>
 * Higher values indicate higher priority. When multiple implementations of the same
 * type exist, the one with the highest priority will be selected for injection.
 * <p>
 * Example usage:
 * <pre>
 * {@literal @}Priority(100)
 * public class PreferredImplementation implements Service {
 *     // Implementation
 * }
 * </pre>
 *

 * {@link #escapeUnsafe} is overridden to handle general escaping of the form {@code &#NNNNN;}.
 *
 * <p>The size of the data structure used by {@link ArrayBasedUnicodeEscaper} is proportional to the
 * highest valued code point that requires escaping. For example a replacement map containing the
 * single character '{@code \}{@code u1000}' will require approximately 16K of memory. If you need

        return getVersions().isEmpty()
                ? Optional.empty()
                : Optional.of(getVersions().get(0));
    }

    /**
     * Gets the highest version matching the requested range.
     *
     * @return An Optional containing the highest matching version, or empty Optional if no versions
     *         matched the requested range
     */
    @Nonnull
    default Optional<Version> getHighestVersion() {

 * while {@link #escapeUnsafe} is overridden to handle general escaping of the form {@code \\uxxxx}.
 *
 * <p>The size of the data structure used by {@link ArrayBasedCharEscaper} is proportional to the
 * highest valued character that requires escaping. For example a replacement map containing the
 * single character '{@code \}{@code u1000}' will require approximately 16K of memory. If you need

    protected char @Nullable [] escape(char c) {
      return c < replaceLength ? replacements[c] : null;
    }
  }

  // Replacement mappings.
  private final Map<Character, String> map;

  // The highest index we've seen so far.
  private int max = -1;

  /** Construct a new sparse array builder. */
  public CharEscaperBuilder() {
    this.map = new HashMap<>();
  }

# Build execution model

At the highest level, Gradle's execution model is quite simple:

Below is the protocol in some more detail:

1. The client looks for a compatible idle daemon. If there isn't one, it starts a new daemon.
2. The client connects to the idle daemon and sends it a request to do some work. If the daemon is no longer running, the client starts again.

    handler: Handler = logHandler(),
  ): Closeable {
    val logger = Logger.getLogger(loggerClass)
    if (configuredLoggers.add(logger)) {
      logger.addHandler(handler)
      logger.level = Level.FINEST
    }
    return Closeable {
      logger.removeHandler(handler)
    }
  }

  fun enable(loggerClass: KClass<*>) = enable(loggerClass.java.name)

              }
            }
          }
        }
      }

      override fun flush() {
      }

      override fun close() {
      }
    }.apply {
      level = Level.FINEST
    }

  private fun applyLogger(fn: Logger.() -> Unit) {
    Logger.getLogger(OkHttpClient::class.java.`package`.name).fn()
    Logger.getLogger(OkHttpClient::class.java.name).fn()

      }
    }

  private var previousLevel: Level? = null

  override fun beforeEach(context: ExtensionContext?) {
    previousLevel = logger.level
    logger.addHandler(handler)
    logger.setLevel(Level.FINEST)
  }

  override fun afterEach(context: ExtensionContext?) {
    logger.setLevel(previousLevel)
    logger.removeHandler(handler)
  }

  override fun apply(
    base: Statement,

      }

      if (matchesType(
          desiredType, Optional.fromNullable(PublicSuffixPatterns.EXACT.get(ancestorName)))) {
        return i;
      }

      // Excluded domains (e.g. !nhs.uk) use the next highest
      // domain as the effective public suffix (e.g. uk).

      if (PublicSuffixPatterns.EXCLUDED.containsKey(ancestorName)) {
        return i + 1;
      }
    }

    return NO_SUFFIX_FOUND;
  }