code: def print_metrics(self) -> None:
      super().print_metrics()
      if self.length_metrics:
          print("\n\nLength Metrics :", self.length_metrics)
          print(
              f"Length Accuracy: {self.length_reports.accuracy * 100:.2f}"
          )
      if self.length_reports:
          print(
              "\n\nLength Reports :",
              self.length_reports.print_metrics(),
          )
  
file_path: pytext/pytext/metrics/seq2seq_metrics.py
imports: import collections
  from typing import Dict, NamedTuple
  from pytext.metrics import ClassificationMetrics
label_desc: Use image node_id 2 for calling the MaskedSeq2SeqTopKMetrics obj's underlying member method code with example usage: obj.print_metrics() without return types