interruptee.interrupt();
                Thread.yield();
              }
            }
          });
      this.shutdown = shutdown;
      start();
    }

    @SuppressWarnings("ThreadPriorityCheck") // TODO: b/175898629 - Consider onSpinWait.
    void shutdown() {
      shutdown.set(true);
      while (this.isAlive()) {
        Thread.yield();
      }
    }
  }

    equalsTester = new EqualsTester();
    equalObject1 = new ValidTestObject(1, 2);
    equalObject2 = new ValidTestObject(1, 2);
    notEqualObject1 = new ValidTestObject(0, 2);
  }

  /** Test null reference yields error */
  public void testAddNullReference() {
    assertThrows(NullPointerException.class, () -> equalsTester.addEqualityGroup((Object) null));
  }

from fastapi.testclient import TestClient


@pytest.fixture(name="app", scope="module")
def get_app():
    with pytest.warns(DeprecationWarning):
        from docs_src.events.tutorial001_py39 import app
    yield app


def test_events(app: FastAPI):
    with TestClient(app) as client:
        response = client.get("/items/foo")
        assert response.status_code == 200, response.text

{* ../../docs_src/custom_response/tutorial008.py hl[2,10:12,14] *}

1. 이것이 제너레이터 함수입니다. `yield` 문을 포함하고 있으므로 "제너레이터 함수"입니다.
2. `with` 블록을 사용함으로써, 제너레이터 함수가 완료된 후 파일과 같은 객체가 닫히도록 합니다. 즉, 응답 전송이 끝난 후 닫힙니다.
3. 이 `yield from`은 함수가 `file_like`라는 객체를 반복(iterate)하도록 합니다. 반복된 각 부분은 이 제너레이터 함수(`iterfile`)에서 생성된 것처럼 `yield` 됩니다.

    이렇게 하면 "생성(generating)" 작업을 내부적으로 다른 무언가에 위임하는 제너레이터 함수가 됩니다.

initial_state = {"except": False, "finally": False}

state = initial_state.copy()

app = FastAPI()


async def get_database():
    temp_database = fake_database.copy()
    try:
        yield temp_database
        fake_database.update(temp_database)
    except HTTPException:
        state["except"] = True
        raise
    finally:
        state["finally"] = True

1. This is the generator function. It's a "generator function" because it contains `yield` statements inside.
2. By using a `with` block, we make sure that the file-like object is closed after the generator function is done. So, after it finishes sending the response.
3. This `yield from` tells the function to iterate over that thing named `file_like`. And then, for each part iterated, yield that part as coming from this generator function (`iterfile`).

   * one from the pool. We must take the pooled connection because by taking it from the pool, we've
   * fully acquired it.
   *
   * This test yields threads to force the decision of plan1 to be deliberate and not lucky. In
   * particular, we set up this sequence of events:
   *
   *  1. take plan 0
   *  3. plan 0 connects
   *  4. finish taking plan 1
   *

        case TIME_1601_NANOS_64BE -> {
            t = (date.getTime() + MILLISECONDS_BETWEEN_1970_AND_1601) * 10000L;
            yield enc_uint64be(t, dst, di);
        }
        case TIME_1601_NANOS_64LE -> {
            t = (date.getTime() + MILLISECONDS_BETWEEN_1970_AND_1601) * 10000L;
            yield enc_uint64le(t, dst, di);
        }
        case TIME_1970_MILLIS_64BE -> enc_uint64be(date.getTime(), dst, di);

engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


def get_session():
    with Session(engine) as session:
        yield session


app = FastAPI()


@app.on_event("startup")
def on_startup():
    create_db_and_tables()


@app.post("/heroes/", response_model=HeroPublic)

engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


def get_session():
    with Session(engine) as session:
        yield session


SessionDep = Annotated[Session, Depends(get_session)]
app = FastAPI()


@app.on_event("startup")
def on_startup():
    create_db_and_tables()