func (d *dataTable[EI, E]) forEach(yield func(EI, E) bool) bool {
	for id, value := range d.dense {
		if d.present[id/8]&(uint8(1)<<(id%8)) == 0 {
			continue
		}
		if !yield(EI(id), value) {
			return false
		}
	}
	if d.sparse == nil {
		return true
	}
	for id, value := range d.sparse {
		if !yield(id, value) {
			return false
		}
	}
	return true
}

    corruptor()

    return client.newCall(request).execute()
  }

  /**
   * @param delta the offset from the current date to use. Negative values yield dates in the past;
   *     positive values yield dates in the future.
   */
  private fun formatDate(
    delta: Long,
    timeUnit: TimeUnit,
  ): String? {

        np.random.uniform(low=-1.0, high=1.0, size=(1, 4)).astype('f4')
        for _ in range(num_samples)
    ]

    def data_gen() -> repr_dataset.RepresentativeDataset:
      for sample in samples:
        yield {'input_tensor': ops.convert_to_tensor(sample)}

    with self.session() as sess:
      new_repr_ds = repr_dataset.replace_tensors_by_numpy_ndarrays(
          data_gen(), sess
      )

  ^bb0(%barg0: tensor<f32>, %barg1: tensor<i32>):
    // CHECK: %[[PRED:.*]] = "tf._SomeOp"(%[[BARG1]])
    // CHECK: "tf.Yield"(%[[PRED]])
    %pred = "tf._SomeOp"(%barg1) : (tensor<i32>) -> tensor<i1>
    "tf.Yield" (%pred) : (tensor<i1>) -> ()
  }, {
  // CHECK: ^bb0(%[[BARG0:.*]]: tensor<f32>, %[[BARG1:.*]]: tensor<i32>):
  ^bb0(%barg0: tensor<f32>, %barg1: tensor<i32>):

from fastapi.testclient import TestClient


@pytest.fixture(name="app", scope="module")
def get_app():
    with pytest.warns(DeprecationWarning):
        from docs_src.events.tutorial001 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

 *       always returns zero could be called a hash function. It is not.)
 * </ul>
 *
 * <p>Summarizing the last two points: "equal yield equal <i>always</i>; unequal yield unequal
 * <i>often</i>." This is the most important characteristic of all hash functions.
 *
 * <h3>Desirable properties</h3>
 *

 *       always returns zero could be called a hash function. It is not.)
 * </ul>
 *
 * <p>Summarizing the last two points: "equal yield equal <i>always</i>; unequal yield unequal
 * <i>often</i>." This is the most important characteristic of all hash functions.
 *
 * <h3>Desirable properties</h3>
 *

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

from .database import SessionLocal, engine

models.Base.metadata.create_all(bind=engine)

app = FastAPI()


# Dependency
def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()


@app.post("/users/", response_model=schemas.User)
def create_user(user: schemas.UserCreate, db: Session = Depends(get_db)):

              while (!shutdown.get()) {
                interruptee.interrupt();
                Thread.yield();
              }
            }
          });
      this.shutdown = shutdown;
      start();
    }

    void shutdown() {
      shutdown.set(true);
      while (this.isAlive()) {
        Thread.yield();
      }
    }
  }

  void assertWrapsInterruptedException(RuntimeException e) {