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;
          }
        };
  }

  /**

    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;
          }
        };
  }

  /**

  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

  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;

    ],
)

# 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

      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();
    }

      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();
    }

int                interface{ ~int }              // satisfied: int implements interface{ ~int }
string             comparable                     // satisfied: string implements comparable (string is strictly comparable)
[]byte             comparable                     // not satisfied: slices are not comparable
any                interface{ comparable; int }   // not satisfied: any does not implement interface{ int }

utility functions. Allowing them to be optional. Also allowing to have multiple alternative security schemes that are then checked in a single dependency instead of each one verifying and returning the error to the client automatically when not satisfied. PR [#134](https://github.com/tiangolo/fastapi/pull/134).

* Update [SQL Tutorial](https://fastapi.tiangolo.com/tutorial/sql-databases/#create-a-middleware-to-handle-sessions) to close database sessions even when there are exceptions....