final boolean threadStarted;

  /** Constructs a new queue. */
  public FinalizableReferenceQueue() {
    // We could start the finalizer lazily, but I'd rather it blow up early.
    queue = new ReferenceQueue<>();
    frqRef = new PhantomReference<>(this, queue);
    boolean threadStarted = false;
    try {
      startFinalizer.invoke(null, FinalizableReference.class, queue, frqRef);

  final boolean threadStarted;

  /** Constructs a new queue. */
  public FinalizableReferenceQueue() {
    // We could start the finalizer lazily, but I'd rather it blow up early.
    queue = new ReferenceQueue<>();
    frqRef = new PhantomReference<>(this, queue);
    boolean threadStarted = false;
    try {
      startFinalizer.invoke(null, FinalizableReference.class, queue, frqRef);

        features down to compact but powerful abstractions, and controlling feature bloat carefully.


        Guava's main yardstick for evaluating proposed features can be summed up as [utility times
        ubiquity](https://github.com/google/guava/wiki/PhilosophyExplained#utility-times-ubiquity).


        #### Utility: compare with alternatives

  private static final double[] doubleInLongRange = new double[ARRAY_SIZE];
  private static final double[] positiveDoubles = new double[ARRAY_SIZE];

  @Param({"DOWN", "UP", "FLOOR", "CEILING", "HALF_EVEN", "HALF_UP", "HALF_DOWN"})
  RoundingMode mode;

  @BeforeExperiment
  void setUp() {
    for (int i = 0; i < ARRAY_SIZE; i++) {
      doubleInIntRange[i] = randomDouble(Integer.SIZE - 2);

      nonzero[i] = randomNonZeroBigInteger(Integer.SIZE - 2).intValue();
      ints[i] = RANDOM_SOURCE.nextInt();
    }
  }

  @Param({"DOWN", "UP", "FLOOR", "CEILING", "HALF_EVEN", "HALF_UP", "HALF_DOWN"})
  RoundingMode mode;

  @Benchmark
  int log2(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

GitHub Repository: <a href="https://github.com/tiangolo/full-stack-fastapi-template" class="external-link" target="_blank">Full Stack FastAPI Template</a>

from fastapi.testclient import TestClient

legacy_request_state_context_var: ContextVar[Optional[Dict[str, Any]]] = ContextVar(
    "legacy_request_state_context_var", default=None
)

app = FastAPI()


async def set_up_request_state_dependency():
    request_state = {"user": "deadpond"}
    contextvar_token = legacy_request_state_context_var.set(request_state)
    yield request_state
    legacy_request_state_context_var.reset(contextvar_token)

  }

  public void testCheckInRange_failure() {
    try {
      MathPreconditions.checkInRangeForRoundingInputs(false, 1.0, RoundingMode.UP);
      fail();
    } catch (ArithmeticException expected) {
      assertThat(expected).hasMessageThat().contains("1.0");
      assertThat(expected).hasMessageThat().contains("UP");
    }
  }

/**
 * A core extension to monitor Maven's execution. Typically, such an extension gets loaded into Maven by specifying the
 * property {@code maven.ext.class.path} on the command line. As soon as dependency injection is set up, Maven
 * looks up all implementers of this interface and calls their {@link #init(Context)} method. Note:
 * Implementors are strongly advised to inherit from {@link AbstractEventSpy} instead of directly implementing this
 * interface.

   *
   * We get plan0 and plan1 from the route planner.
   * We get plan2 as a follow-up to plan1, typically retry the same IP but different TLS.
   * We get plan3 as a retry of plan0, which was canceled when it lost the race.
   *
   * This test confirms that we prefer to do the TLS follow-up (plan2) before the TCP retry (plan3).
   * It also confirms we enforce the 250 ms delay in each race.
   */
  @Test