then:
        properties*.name == ["prop1", "prop2", "prop3"]
        properties*.type == [ModelType.of(String)] * 3
    }

    @Managed
    interface SelfReferencing {
        SelfReferencing getSelf()
    }

    def "can extract self referencing type"() {
        expect:
        extract(SelfReferencing).getProperty("self").type == ModelType.of(SelfReferencing)
    }

    @Managed

  private static class Red<A> {
    private class Orange {
      Class<?> getClassA() {
        return new TypeToken<A>(getClass()) {}.getRawType();
      }

      Red<A> getSelfB() {
        return Red.this;
      }
    }

    Red<A> getSelfA() {
      return this;
    }

    private class Yellow<B> extends Red<B>.Orange {
      Yellow(Red<B> red) {
        red.super();
      }

  private static class Red<A> {
    private class Orange {
      Class<?> getClassA() {
        return new TypeToken<A>(getClass()) {}.getRawType();
      }

      Red<A> getSelfB() {
        return Red.this;
      }
    }

    Red<A> getSelfA() {
      return this;
    }

    private class Yellow<B> extends Red<B>.Orange {
      Yellow(Red<B> red) {
        red.super();
      }

}

monitoring::GaugeCell<std::string>& SavedModelWriteFingerprint() {
  return *saved_model_write_fingerprint->GetCell();
}

monitoring::GaugeCell<std::string>& SavedModelWritePath() {
  return *saved_model_write_path->GetCell();
}

monitoring::GaugeCell<std::string>& SavedModelWritePathAndSingleprint() {
  return *saved_model_write_path_and_singleprint->GetCell();
}

  delete counter;
}

TFE_MonitoringCounterCell* TFE_MonitoringGetCellCounter0(
    TFE_MonitoringCounter0* counter) {
  return static_cast<TFE_MonitoringCounterCell*>(
      static_cast<void*>(counter->counter->GetCell()));
}

TFE_MonitoringCounter1* TFE_MonitoringNewCounter1(const char* name,
                                                  TF_Status* status,
                                                  const char* description,

      has_dynamic_op = true;
      dynamism_op_counter->GetCell(op->getName().getStringRef().str())
          ->IncrementBy(1);
    }

    return WalkResult::advance();
  });

  if (has_dynamic_op) {
    dynamism_function_counter->GetCell(kDynamicFunctionName)->IncrementBy(1);
  } else {
    dynamism_function_counter->GetCell(kNotDynamicFunctionName)->IncrementBy(1);
  }
}
}  // namespace

      if (!trait.getDef().isSubClassOf("GenInternalOpTrait")) {
        continue;
      }
      if (trait.getDef().getValueAsString("trait") !=
          "::mlir::OpTrait::TFLRuntimeOpTrait") {
        continue;
      }

      auto *val = trait.getDef().getValue("tflRuntimePredicate");
      if (!val) continue;

      auto desc = trait.getDef().getValueAsString("tflRuntimeDescription");

        mlir_function_pass_fallback_count->GetCell(kFailure)->IncrementBy(1);
      } else if (pass_state == MlirOptimizationPassState::Enabled) {
        return pass_status;
      }
    } else {
      if (pass_state == MlirOptimizationPassState::FallbackEnabled) {
        mlir_function_pass_fallback_count->GetCell(kSuccess)->IncrementBy(1);
      }
    }

 *
 * @author Gregory Kick
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
abstract class RegularImmutableTable<R, C, V> extends ImmutableTable<R, C, V> {
  RegularImmutableTable() {}

  abstract Cell<R, C, V> getCell(int iterationIndex);

  @Override
  final ImmutableSet<Cell<R, C, V>> createCellSet() {
    return isEmpty() ? ImmutableSet.<Cell<R, C, V>>of() : new CellSet();
  }

  @WeakOuter

}

tensorflow::Status RecordStatusIfError(absl::Status status) {
  if (status.ok()) {
    return absl::OkStatus();
  }

  tf_dialect_to_executor_dialect_status->GetCell(kExportFailed)->IncrementBy(1);
  VLOG(1) << "Failed to export from TF Dialect to TF Executor Dialect. "
          << status;

  constexpr char bridge_subcomponent[] =
      "TFXLA_TF_FUNCTIONAL_TO_EXECUTOR_EXPORT_v2";