builder.field(CLUSTER_NAME, response.getClusterName());
            }
            if (fieldSet.contains(STATUS)) {
                builder.field(STATUS, response.getStatus().name().toLowerCase(Locale.ROOT));
            }
            if (fieldSet.contains(TIMED_OUT)) {
                builder.field(TIMED_OUT, response.isTimedOut());
            }
            if (fieldSet.contains(NUMBER_OF_NODES)) {

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

    UNSATISFIED_BEFORE_AND_WHILE_WAITING,
    UNSATISFIED_AND_INTERRUPTED_BEFORE_WAITING;

    @Override
    public String toString() {
      return CaseFormat.UPPER_UNDERSCORE.to(CaseFormat.UPPER_CAMEL, name());
    }
  }

  /** Timeout values to combine with each {@link Scenario}. */
  private enum Timeout {
    MIN(Long.MIN_VALUE, "-oo"),
    MINUS_SMALL(-SMALL_TIMEOUT_MILLIS, "-" + SMALL_TIMEOUT_MILLIS + "ms"),

With this in mind, Ztunnel supports two xDS resources: `Address` and `Authorization`.

### Address Type

The primary configuration consumed by Ztunnel is the [`Address` resource](../../pkg/workloadapi/workload.proto).
As the name suggests, an `Address` represents a particular IP Address.
This can be a `Service` or a `Workload`.

The address type has the following goals:
* It should support (but not require) on-demand lookups.

    private int andxOffset = 0;

    private ServerMessageBlock andx;


    protected AndXServerMessageBlock ( Configuration config, byte command, String name, ServerMessageBlock andx ) {
        super(config, command, name);
        this.andx = andx;
        if ( andx != null ) {
            this.andxCommand = (byte) andx.getCommand();
        }
    }

예를 들면, 위의 이 모델은 JSON "`object`" (혹은 파이썬 `dict`)을 다음과 같이 선언합니다:

```JSON
{
    "name": "Foo",
    "description": "선택적인 설명란",
    "price": 45.2,
    "tax": 3.5
}
```

...`description`과 `tax`는 (기본 값이 `None`으로 되어 있어) 선택적이기 때문에, 이 JSON "`object`"는 다음과 같은 상황에서도 유효합니다:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

## 매개변수로서 선언하기

		"avx512enc/avx512_bitalg",
		"avx512enc/avx512_ifma",
		"avx512enc/avx512_vbmi",
		"avx512enc/avx512_vbmi2",
		"avx512enc/avx512_vnni",
		"avx512enc/avx512_vpopcntdq",
	}
	for _, name := range filenames {
		testEndToEnd(t, "amd64", name)
	}
}

func TestAMD64Errors(t *testing.T) {
	testErrors(t, "amd64", "amd64error")
}

func TestAMD64DynLinkErrors(t *testing.T) {

        cmdList.add("-Dfess." + getExecuteType() + ".process=true");
        cmdList.add("-Dfess.log.path=" + (logFilePath != null ? logFilePath : systemHelper.getLogFilePath()));
        addSystemProperty(cmdList, "fess.log.name", getLogName("fess"), getLogName(StringUtil.EMPTY));
        if (logLevel == null) {
            addSystemProperty(cmdList, "fess.log.level", null, null);
        } else {

   * if previous calls have initialized the {@code PermissionSupplier} fields.
   *
   * <p>This lets us test the effects of different values of the {@code user.name} system property
   * without needing a separate VM or classloader.
   */
  @IgnoreJRERequirement // used only when Path is available (and only from tests)
  @VisibleForTesting

  AbstractTensorHandle* AggregateGradients(
      gtl::ArraySlice<AbstractTensorHandle*> gradient_tensors) const override;

  // Calls the passed-in backward function.
  // op_type is the op's name provided in RecordOperation.
  absl::Status CallBackwardFunction(
      const string& op_type, GradientFunction* gradient_function,
      const std::vector<int64_t>& unneeded_gradients,