TF_DeleteGraph(host_graph_);
    TF_DeleteGraph(func_graph_);
    TF_DeleteStatus(s_);
  }

  void Run(const std::vector<std::pair<TF_Operation*, TF_Tensor*>>& inputs,
           TF_Operation* output, int32_t expected_result) {
    Run(inputs, {{output, 0}}, {expected_result});
  }

  // Run the host graph, which now contains a function and check that
  // outputs are as expected.

    assertThat(map.get(refreshKey)).isSameInstanceAs(refreshKey);

    new Thread() {
      @Override
      public void run() {
        cache.getUnchecked(getKey);
        getFinishedSignal.countDown();
      }
    }.start();
    new Thread() {
      @Override
      public void run() {
        cache.refresh(refreshKey);
        getFinishedSignal.countDown();
      }
    }.start();

# Linux x86 so that we can use RBE. Since tests still need to run on the single
# host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit.
# For testing purposes, we want to see the runtime performance of an
# experimental job that is build-only, i.e, we only build the test targets and
# do not run them. By prefixing the configs with "build", we can run both

    assertThat(map.get(refreshKey)).isSameInstanceAs(refreshKey);

    new Thread() {
      @Override
      public void run() {
        cache.getUnchecked(getKey);
        getFinishedSignal.countDown();
      }
    }.start();
    new Thread() {
      @Override
      public void run() {
        cache.refresh(refreshKey);
        getFinishedSignal.countDown();
      }
    }.start();

            } else if (TEARDOWN.equals(step.name)) {
                // TEARDOWN should always run to ensure proper cleanup and error handling
                // We'll handle success/failure reporting inside the TEARDOWN phase
                shouldExecute = true;
            } else {
                // For regular steps:
                // Don't run for halted builds, blacklisted projects, or if predecessors failed

        }
      }
    }
  }

  /**
   * Registers separate success and failure callbacks to be run when the {@code Future}'s
   * computation is {@linkplain java.util.concurrent.Future#isDone() complete} or, if the
   * computation is already complete, immediately.
   *
   * <p>The callback is run on {@code executor}. There is no guaranteed ordering of execution of

  // Create a session for this graph.
  CSession csession(graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Run the graph.
  csession.SetInputs({{feed, Int32Tensor(3)}});
  csession.SetOutputs({add});
  csession.Run(s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_Tensor* out = csession.output_tensor(0);
  ASSERT_TRUE(out != nullptr);

* Run l7 controller on master  ([#26048](https://github.com/kubernetes/kubernetes/pull/26048), [@bprashanth](https://github.com/bprashanth))
* AWS: ELB proxy protocol support via annotation service.beta.kubernetes.io/aws-load-balancer-proxy-protocol ([#24569](https://github.com/kubernetes/kubernetes/pull/24569), [@williamsandrew](https://github.com/williamsandrew))

                slf4jLogger.error(
                        "To see the full stack trace of the errors, re-run Maven with the '{}' switch",
                        MessageUtils.builder().strong("-e"));
            }
            if (!slf4jLogger.isDebugEnabled()) {
                slf4jLogger.error(
                        "Re-run Maven using the '{}' switch to enable verbose output",

	baseTestCases := []TestSuiteCommon{
		// Init and run test on ErasureSD backend with signature v4.
		{serverType: "ErasureSD", signer: signerV4},
		// Init and run test on ErasureSD backend, with tls enabled.
		{serverType: "ErasureSD", signer: signerV4, secure: true},
		// Init and run test on Erasure backend.
		{serverType: "Erasure", signer: signerV4},
		// Init and run test on ErasureSet backend.