std::unique_ptr<Variable> var;
  ASSERT_NE(absl::OkStatus(),
            internal::LoadSavedVariable(context(), saved_variable, &var));
}

// Assigning and reading values should yield
// consistent results.
TEST_P(SavedVariableLoadingTest, AssignAndReadVariableSuccesful) {
  auto& test_params = GetParam();
  DataType dtype = std::get<0>(test_params);

				for _, s := range testData {
					expectMissing(t, s, 0)(m.Load(s))
				}
			}(i)
		}
		wg.Wait()
	})
}

func testAll[K, V comparable](t *testing.T, m *HashTrieMap[K, V], testData map[K]V, yield func(K, V) bool) {
	for k, v := range testData {
		expectStored(t, k, v)(m.LoadOrStore(k, v))
	}
	visited := make(map[K]int)
	m.All()(func(key K, got V) bool {
		want, ok := testData[key]
		if !ok {

 *
 * That is, this operation does not represent just the execution of task actions.
 *
 * This operation can fail _and_ yield a result.
 * If the operation gets as far as invoking the task executer
 * (i.e. beforeTask callbacks did not fail), then a result is expected.

* **요청** 또는 다른 필요한 코드를 실행 시킬 수 있습니다.
* **요청**을 응용 프로그램의 *경로 작동*으로 전달하여 처리합니다.
* 애플리케이션의 *경로 작업*에서 생성한 **응답**를 받습니다.
* **응답** 또는 다른 필요한 코드를 실행시키는 동작을 할 수 있습니다.
* **응답**를 반환합니다.

!!! note "기술 세부사항"
    만약 `yield`를 사용한 의존성을 가지고 있다면, 미들웨어가 실행되고 난 후에 exit이 실행됩니다.

    만약 (나중에 문서에서 다룰) 백그라운드 작업이 있다면, 모든 미들웨어가 실행되고 *난 후에* 실행됩니다.

## 미들웨어 만들기

미들웨어를 작성하기 위해서 함수 상단에 `@app.middleware("http")` 데코레이터를 사용할 수 있습니다.

      }

      Operation *terminator_op;
      for (auto it = single_block->begin(); it != single_block->end(); ++it) {
        terminator_op = rewriter.clone(*it, mapping);
      }
      // Map the block arguments to the yield results.
      for (auto iter_op : llvm::zip(for_op.getRegionIterArgs(),
                                    terminator_op->getOperands())) {
        mapping.map(std::get<0>(iter_op), std::get<1>(iter_op));
      }

  %0 = stablehlo.constant dense<1.000000e+00> : tensor<1xf32>
  // CHECK-NEXT: tfl.control_node
  %outputs, %control = tfl.control_node {
    %1 = "tfl.neg"(%0) : (tensor<1xf32>) -> tensor<1xf32>
    "tfl.yield"(%1) : (tensor<1xf32>) -> ()
  }
  return %outputs, %control : tensor<1xf32>, !tfl.control
}

// -----

// CHECK-LABEL: func_with_tfl_attrs

            "This behavior has been deprecated. This will fail with an error in Gradle 9.0. " +
            "Resolving relative file paths might yield unexpected results, there is no single clear location it would make sense to resolve against. " +
            "Configure an absolute path to a Java executable instead. " +

        newStartedThread(
            new CheckedRunnable() {
              @Override
              public void realRun() {
                while (!at.compareAndSet(2.0, 3.0)) {
                  Thread.yield();
                }
              }
            });

    assertTrue(at.compareAndSet(1.0, 2.0));
    awaitTermination(t);
    assertBitEquals(3.0, at.get());
  }

}

/**
 * Returns true if the response headers and status indicate that this response has a (possibly
 * 0-length) body. See RFC 7231.
 */
fun Response.promisesBody(): Boolean {
  // HEAD requests never yield a body regardless of the response headers.
  if (request.method == "HEAD") {
    return false
  }

  val responseCode = code
  if ((responseCode < HTTP_CONTINUE || responseCode >= 200) &&

    // a multithreaded environment for a couple of reasons:
    //
    // 1. Subscribers to events posted on different threads can be interleaved with each other
    //    freely. (A event on one thread, B event on another could yield any of
    //    [a1, a2, a3, b1, b2], [a1, b2, a2, a3, b2], [a1, b2, b3, a2, a3], etc.)
    // 2. It's possible for subscribers to actually be dispatched to in a different order than they