notEmpty =
        new Monitor.Guard(monitor) {
          @Override
          public boolean isSatisfied() {
            return count > 0;
          }
        };
    notFull =
        new Monitor.Guard(monitor) {
          @Override
          public boolean isSatisfied() {
            return count < items.length;
          }
        };
  }

  /**

      AwaitHealthGuard() {
        super(ServiceManagerState.this.monitor);
      }

      @Override
      @GuardedBy("ServiceManagerState.this.monitor")
      public boolean isSatisfied() {
        // All services have started or some service has terminated/failed.
        return states.count(RUNNING) == numberOfServices
            || states.contains(STOPPING)
            || states.contains(TERMINATED)

  static class FlagGuard extends Monitor.Guard {

    private boolean satisfied;

    protected FlagGuard(Monitor monitor) {
      super(monitor);
    }

    @Override
    public boolean isSatisfied() {
      return satisfied;
    }

    public void setSatisfied(boolean satisfied) {
      this.satisfied = satisfied;
    }
  }

  private final Method method;

  final PriorityQueue<E> q;
  final Monitor monitor = new Monitor(true);
  private final Monitor.Guard notEmpty =
      new Monitor.Guard(monitor) {
        @Override
        public boolean isSatisfied() {
          return !q.isEmpty();
        }
      };

  /**
   * Creates a {@code MonitorBasedPriorityBlockingQueue} with the default initial capacity (11) that

				condt, reflect.TypeOf(condt).String())
		}
	}
	return parsedPolicy, nil
}

// checkPolicyCond returns a boolean to indicate if a condition is satisfied according
// to the passed operator
func checkPolicyCond(op string, input1, input2 string) bool {
	switch op {
	case policyCondEqual:
		return input1 == input2
	case policyCondStartsWith:

    ],
)

# Config setting that is satisfied when TensorFlow is being built with CUDA
# support through e.g. `--config=cuda` (or `--config=cuda_clang` in OSS).
alias(
    name = "is_cuda_enabled",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

# Config setting that is satisfied when CUDA device code should be compiled

        concurrentCallCapacity += connection.allocationLimit
      }

      // The policy was satisfied by existing connections, don't run again
      if (concurrentCallCapacity >= state.policy.minimumConcurrentCalls) return -1L
    }

    // If we got here then the policy was not satisfied -- open a connection!
    try {
      val connection = exchangeFinderFactory(this, state.address, PoolConnectionUser).find()

   *    has since been closed by the server.
   *  * A client timeout (HTTP 408).
   *  * A authorization challenge (HTTP 401 and 407) that is satisfied by the [Authenticator].
   *  * A retryable server failure (HTTP 503 with a `Retry-After: 0` response header).
   *  * A misdirected request (HTTP 421) on a coalesced connection.
   */
  open fun isOneShot(): Boolean = false

    if (strategy == ResumePriority.AfterOtherTasks && otherTasksStarted) {
      return yieldUntil(strategy, condition)
    }
  }

  private enum class ResumePriority {
    /** Resumes as soon as the condition is satisfied. */
    BeforeOtherTasks,

    /** Resumes after the already-enqueued tasks. */
    AfterEnqueuedTasks,

    /** Resumes after all other tasks, including tasks enqueued while yielding. */
    AfterOtherTasks,

      service.execute(barrierTask); // submit directly to the service
      // the barrier task runs after the error task so we know that the error has been observed by
      // SequentialExecutor by the time the barrier is satisfied
      barrier.await(1, SECONDS);
      executor.execute(barrierTask);
      // timeout means the second task wasn't even tried
      barrier.await(1, SECONDS);
    } finally {
      service.shutdown();
    }