* simple approach would be for each caller CAS it from null to a Set populated with its
     * exception. But there's another race: If the first thread fails with an exception and a second
     * thread immediately fails with the same exception:
     *
     * Thread1: calls setException(), which returns true, context switch before it can CAS
     * seenExceptionsField to its exception
     *

      // return condition1 || condition2;
      if (nodeU().equals(other.nodeU())) { // check condition1
        // Here's the tricky bit. We don't have to explicitly check for condition2 in this case.
        // Why? The second half of condition2 requires that nodeV equals other.nodeU.
        // We already know that nodeU equals other.nodeU. Combined with the earlier statement,

        long total = requestsSent.get();
        if (total == 0)
            return 0.0;
        return (double) errors.get() / total;
    }

    /**
     * Get throughput in bytes per second
     *
     * @return throughput in bps
     */
    public long getThroughput() {
        long duration = System.currentTimeMillis() - establishedTime;
        if (duration == 0)
            return 0;

  /**
   * How many concurrent calls should be possible to make at any time.
   * The pool will routinely try to pre-emptively open connections to satisfy this minimum.
   * Connections will still be closed if they idle beyond the keep-alive but will be replaced.
   */
  @JvmField val minimumConcurrentCalls: Int = 0,
  /** How long to wait to retry pre-emptive connection attempts that fail. */
  @JvmField val backoffDelayMillis: Long = 60 * 1000,

# Set to "infinity" if you use the 'bootstrap.mlockall: true' option
# in fess.yml and 'MAX_LOCKED_MEMORY=unlimited' in ${packaging.env.file}
#LimitMEMLOCK=infinity

# Shutdown delay in seconds, before process is tried to be killed with KILL (if configured)
TimeoutStopSec=20

[Install]
WantedBy=multi-user.target

/**
 * Service provider interface for registering custom {@link Lifecycle} implementations.
 * <p>
 * This interface allows plugins and extensions to define and register additional build lifecycles
 * beyond the standard ones provided by Maven (like clean, default, site). Lifecycles define a sequence
 * of phases that can be executed during a build.
 * <p>

/**
 * Service provider interface for registering custom {@link PathScope} implementations.
 * <p>
 * This interface allows plugins and extensions to define and register additional path scopes
 * beyond the standard ones provided by Maven. Path scopes define how dependencies are used
 * in different contexts, such as compilation, testing, or runtime.
 * <p>

/**
 * Service provider interface for registering custom {@link Type} implementations.
 * <p>
 * This interface allows plugins and extensions to define and register additional artifact types
 * beyond the standard ones provided by Maven (like jar, war, pom, etc.). Types define how artifacts
 * are handled, including their default extension, classifier, and language.
 * <p>

	if e != nil {
		return psv, ErrMalformedExpires
	}

	if preSignV4Values.Expires < 0 {
		return psv, ErrNegativeExpires
	}

	// Check if Expiry time is less than 7 days (value in seconds).
	if preSignV4Values.Expires.Seconds() > 604800 {
		return psv, ErrMaximumExpires
	}

	if preSignV4Values.Date.IsZero() || preSignV4Values.Date.Equal(timeSentinel) {
		return psv, ErrMalformedPresignedDate
	}

    //    were added to the queue. It's easily possible for one thread to take the head of the
    //    queue, immediately followed by another thread taking the next element in the queue. That
    //    second thread can then dispatch to the subscriber it took before the first thread does.
    //
    // All this makes me really wonder if there's any value in queueing here at all. A dispatcher