code: def read_metrics_file(path):
      """Reads metrics f and outputs metrics in a dict."""
      with open(path) as f:
          metrics = {
              key.replace("/", "_"): float(value)
              for key, value in json.loads(f.read()).items()
          }
      metrics[
          "checkpoint"
      ] = extract_checkpoint_number_from_metrics_filename(path)
      metrics["F1_All"] = (
          2
          * metrics["TPs_All"]
          / (
              2 * metrics["TPs_All"]
              + metrics["FNs_All"]
              + metrics["FPs_All"]
          )
      )
      metrics["TPs+FNs_All"] = metrics["TPs_All"] + metrics["FNs_All"]
      return metrics
  
file_path: deepvariant/tools/print_f1.py
imports: import argparse
  import json
  import logging
  from os import listdir
  from os.path import isfile
  from os.path import join
  import re
label_desc: Use image node_id 3 for calling a global function with example usage: read_metrics_file(path) and returns: metrics