count: 4
    }
  }
  unclustered_op_histogram {
    op: "NoOp"
    count: 2
  }
  unclustered_op_histogram {
    op: "_Arg"
    count: 1
  }
  unclustered_op_histogram {
    op: "_Retval"
    count: 1
  }
}
)",
      &expected_auto_clustering_activity);
  EXPECT_EQ(listener()->auto_clustering_activity().DebugString(),
            expected_auto_clustering_activity.DebugString());

        handle.sendrecv(rpc);
        switch (rpc.retval) {
            case 0:
            case NtStatus.NT_STATUS_NONE_MAPPED:
            case 0x00000107: // NT_STATUS_SOME_NOT_MAPPED
                break;
            default:
                throw new SmbException(rpc.retval, false);
        }

        for (int si = 0; si < sids.length; si++) {

// Execute the operation defined by 'op' and return handles to computed
// tensors in `retvals`.
//
// 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and
// '*num_retvals' should be set to the size of this array. It is an error if
// the size of 'retvals' is less than the number of outputs. This call sets
// *num_retvals to the number of outputs.
//

	if err != nil {
		return nil, err
	}
	retval := make([]*v1alpha1.IstioOperator, 0)
	for _, un := range ul.Items {
		fixTimestampRelatedUnmarshalIssues(&un)
		by := util.ToYAML(un.Object)
		iop, err := operator_istio.UnmarshalIstioOperator(by, true)
		if err != nil {
			return nil, err
		}
		retval = append(retval, iop)
	}
	return retval, nil
}

func decodeYAML(data []byte) (*unstructured.Unstructured, error) {
	retval := &unstructured.Unstructured{Object: map[string]interface{}{}}
	// ensure this isn't JSON
	if json.Unmarshal(data, &retval.Object) == nil {
		return nil, fmt.Errorf("data is JSON, not YAML: %s", string(data))
	}
	// ensure it is YAML
	retval.Object = map[string]interface{}{}
	if err := yaml.Unmarshal(data, &retval.Object); err != nil {

  Status AddInput(AbstractTensorHandle* input) override;
  Status AddInputList(absl::Span<AbstractTensorHandle* const> inputs) override;
  Status Execute(absl::Span<AbstractTensorHandle*> retvals,
                 int* num_retvals) override;
  Status SetAttrString(const char* attr_name, const char* data,
                       size_t length) override;
  Status SetAttrInt(const char* attr_name, int64_t value) override;

std::string GetComposeFuncName(StringRef tf_op_name) {
  std::string compose_func_name;
  for (int i = 0; i < tf_op_name.size(); ++i) {
    if (tf_op_name[i] == '_') {
      // The field name must not contain "_"s. "_Arg" and "_RetVal" are special
      // op names and we can return empty string to skip the decomposition.
      return {};
    }
    if (tf_op_name[i] == '.') {
      compose_func_name.push_back('_');

		if dst != nil && srcPatch != nil {
			retVal, errMerge := util.MergeAnyWithAny(dst, srcPatch)
			if errMerge != nil {
				return false, fmt.Errorf("function MergeAnyWithAny failed for ApplyClusterMerge: %v", errMerge)
			}

			// Merge the above result with the whole cluster
			merge.Merge(dst, retVal)
		}
	}
	return true, nil
}

          bytes.length);
      return padToLong();
    }

    @Override
    public long padToLong() {
      long retVal = (bytes[0] & 0xFF);
      for (int i = 1; i < Math.min(bytes.length, 8); i++) {
        retVal |= (bytes[i] & 0xFFL) << (i * 8);
      }
      return retVal;
    }

    @Override
    void writeBytesToImpl(byte[] dest, int offset, int maxLength) {

  kAsync,
};

enum class DeviceCompileState {
  kUncompiled,
  kCompiling,
  kCompiled,
};

// Creates a single-node graph using the specified `node_def` as the only op
// apart from the arg and retval nodes corresponding to `args` and
// `result_types` respectively.
absl::StatusOr<std::unique_ptr<Graph>> CreateSingleOpGraph(
    const NodeDef& node_def, absl::Span<const XlaArgument> args,