code: def print_metrics(self, report_pep=False) -> None:
      print(f"\tExpected Error: {self.expected_error * 100.:.2f}")
      print(f"\tMax Error: {self.max_error * 100.:.2f}")
      print(f"\tTotal Error: {self.total_error * 100.:.2f}")
  
file_path: pytext/pytext/metrics/calibration_metrics.py
imports: import math
  from typing import Dict, List, NamedTuple, Tuple
  import numpy
  from pytext.metrics import LabelPrediction
label_desc: Use image node_id 1 for calling the CalibrationMetrics obj's underlying member method code with example usage: obj.print_metrics(report_pep) without return types