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
}

  // CHECK:   %[[MUL:.*]] = "tf.Mul"(%[[ARG0]], %[[ARG1]])
  // CHECK:   "tf.Yield"(%[[MUL]]) : (tensor<f32>)
  // CHECK:  },  {
  // CHECK:    %[[SUB:.*]] = "tf.Sub"(%[[ARG0]], %[[ARG1]])
  // CHECK:    "tf.Yield"(%[[SUB]]) : (tensor<f32>)
  // CHECK:  },  {
  // CHECK:    %[[ADD:.*]] = "tf.AddV2"(%[[ARG0]], %[[ARG1]])
  // CHECK:    "tf.Yield"(%[[ADD]]) : (tensor<f32>)

    static_dir: Path = Path(os.getcwd()) / "static"
    print(static_dir)
    static_dir.mkdir(exist_ok=True)
    from docs_src.custom_docs_ui.tutorial001 import app

    with TestClient(app) as client:
        yield client
    static_dir.rmdir()


def test_swagger_ui_html(client: TestClient):
    response = client.get("/docs")
    assert response.status_code == 200, response.text

    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
      )

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

    "tfl.yield"(%test) : (tensor<i1>) -> ()
  },  {
  ^bb0(%arg2: tensor<i32>, %arg3: tensor<f32>):
    %cst = arith.constant dense<22.0> : tensor<f32>
    %stride = arith.constant dense<1> : tensor<i32>
    %inc = tfl.add %arg2, %stride {fused_activation_function = "NONE"} : tensor<i32>
    "tfl.yield"(%inc, %cst) : (tensor<i32>, tensor<f32>) -> ()

/**
 * Mechanism by which the scan plugin registers for notifications.
 * <p>
 * One instance of this exists per build tree.
 * Only one listener may register.
 * Subsequent attempts yield exceptions.
 *
 * @since 4.0
 */
@UsedByScanPlugin("obtained from the root build's root project's service registry")
@ServiceScope(Scope.CrossBuildSession.class)

              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) {

  for (Value value : extern_values) {
    auto arg = block.addArgument(value.getType(), loc);
    replaceAllUsesInRegionWith(value, arg, func_region);
    new_args.push_back(arg);
  }

  // Replace yield op with return.
  Operation* yield_op = outlined_func.getBody().front().getTerminator();
  OpBuilder b(yield_op);
  llvm::SmallVector<Value, 4> args;
  auto loop_carried_yield_operands =