if (subResult != null) {
                            retVal += subResult;
                        } else {
                            retVal += "$" + expr.substring(index + 1, lastIndex + 1);
                        }
                    }

                    retVal += evaluate(expr.substring(lastIndex + 1));
                    return retVal;
                }
            }

		},
	}
}

func createTestStatus(name string, status api.ConditionStatus, msg string, err string) *api.ComponentStatus {
	retVal := &api.ComponentStatus{
		Conditions: []api.ComponentCondition{
			{Type: api.ComponentHealthy, Status: status, Message: msg, Error: err},
		},
	}
	retVal.Name = name
	return retVal
}

func TestList_NoError(t *testing.T) {
	r := NewTestREST(testResponse{result: probe.Success, data: "ok"})

  TF_SetStatus(status, TF_OK, "");
  if (retvals[0] != nullptr) {
    TFE_DeleteTensorHandle(retvals[0]);
  }
  retvals[0] = nullptr;
  TFE_Execute(matmul2, &retvals[0], &num_retvals, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status));
  TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status);
  EXPECT_EQ(TF_OK, TF_GetCode(status));
  TF_DeleteTensor(t);

  for (auto sharding_and_retval :
       llvm::zip(sharding_for_rets, terminator->getOpOperands())) {
    const auto& sharding = std::get<0>(sharding_and_retval);
    OpOperand& retval = std::get<1>(sharding_and_retval);
    if (failed(VerifySharding(retval.get().getType(), sharding)))
      return mlir::failure();
  }
  return mlir::success();
}

// Assign the logical device if an op has an attribute `TPU_REPLICATED_CORE:n`,

	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
}

		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
}

  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,

	var retval []certificates.CertificateSigningRequestCondition
	for i, c := range csr.Status.Conditions {
		if c.Type == conditionType {
			retval = append(retval, csr.Status.Conditions[i])
		}
	}
	return retval
}

// getValidationOptions returns the validation options to be

      auto metadata_arg = metadata_proto.add_args();
      metadata_arg->set_kind(
          tensorflow::tpu::TPUCompileMetadataProto::Arg::PARAMETER);
      metadata_arg->set_dtype(dtype);
    }
    // Set up one dummy retval.
    metadata_proto.add_retvals();
    bool use_tuple_args = true;
    std::vector<tensorflow::tpu::ShardingAndIndex> arg_core_mapping;
    std::vector<std::vector<xla::Shape>> per_core_arg_shapes;

  @SuppressWarnings("unchecked")
  @Benchmark
  boolean getIfPresent(int repetitions) {
    boolean retVal = false;
    for (int i = 0; i < repetitions; ++i) {
      retVal &= Enums.getIfPresent(enumType, sampleData[i & 255]).isPresent();
    }
    return retVal;
  }

  private enum SmallEnum {
    X0,
    X1,
    X2
  }

  private enum MediumEnum {
    X0,
    X1,