* might run on the {@code directExecutor()} or be otherwise re-entrant (call back into your
 * object). So it is important to not call {@link #dispatch} while holding any locks. This is why
 * {@link #enqueue} and {@link #dispatch} are 2 different methods. It is expected that the decision
 * to run a particular event is made during the state change, but the decision to actually invoke

      setException(t);
      return;
    } finally {
      function = null;
    }

    /*
     * If set()/setValue() throws an Error, we let it propagate. Why? The most likely Error is a
     * StackOverflowError (from deep transform(..., directExecutor()) nesting), and calling
     * setException(stackOverflowError) would fail:
     *

/// info

A "bearer" token is not the only option.

But it's the best one for our use case.

And it might be the best for most use cases, unless you are an OAuth2 expert and know exactly why there's another option that better suits your needs.

In that case, **FastAPI** also provides you with the tools to build it.

///

        // Test constructor with long strings
        String type = "VeryLongTokenTypeNameForTestingPurposes";
        String message =
                "This is a very long error message that describes in detail why the access token is invalid and what went wrong during validation";
        InvalidAccessTokenException exception = new InvalidAccessTokenException(type, message);

        assertEquals(type, exception.getType());

    checkNotNull(valueComparator);
    return Comparator.<Optional<T>, @Nullable T>comparing(
        o -> orElseNull(o), Comparator.nullsLast(valueComparator));
  }

  // For discussion of why this exists, see the Android flavor.
  private static <T> @Nullable T orElseNull(Optional<T> optional) {
    return optional.orElse(null);
  }

  /**

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python

      setException(t);
      return;
    } finally {
      function = null;
    }

    /*
     * If set()/setValue() throws an Error, we let it propagate. Why? The most likely Error is a
     * StackOverflowError (from deep transform(..., directExecutor()) nesting), and calling
     * setException(stackOverflowError) would fail:
     *

-0-models-as-an-api-service-with-fastapi-docker-128b177e81f3 title: How To Deploy Tensorflow 2.0 Models As An API Service With FastAPI & Docker - author: Dylan Anthony author_link: https://dev.to/dbanty link: https://dev.to/dbanty/why-i-m-leaving-flask-3ki6 title: Why I'm Leaving Flask - author: Mike Moritz author_link: https://medium.com/@mike.p.moritz link: https://medium.com/@mike.p.moritz/using-docker-compose-to-deploy-a-lightweight-python-rest-api-with-a-job-queue-37e6072a209b title: Using Docker...

@Tag("Slow")
class RealWebSocketTest {
  // NOTE: Fields are named 'client' and 'server' for cognitive simplicity. This differentiation has
  // zero effect on the behavior of the WebSocket API which is why tests are only written once
  // from the perspective of a single peer.
  private val random = Random(0)
  private val taskFaker = TaskFaker()
  private val sockets = inMemorySocketPair(8192L)

## Why distributed MinIO?