code: def print_import_report(counter, sample_rate, max_secs):
      print("Imported %d samples." % (get_imported_samples(counter)))
      if counter["failed"] > 0:
          print(
              "Skipped %d samples that failed upon conversion."
              % counter["failed"]
          )
      if counter["invalid_label"] > 0:
          print(
              "Skipped %d samples that failed on transcript validation."
              % counter["invalid_label"]
          )
      if counter["too_short"] > 0:
          print(
              "Skipped %d samples that were too short to match the transcript."
              % counter["too_short"]
          )
      if counter["too_long"] > 0:
          print(
              "Skipped %d samples that were longer than %d seconds."
              % (counter["too_long"], max_secs)
          )
      print(
          "Final amount of imported audio: %s from %s."
          % (
              secs_to_hours(counter["imported_time"] / sample_rate),
              secs_to_hours(counter["total_time"] / sample_rate),
          )
      )
  
file_path: DeepSpeech/training/deepspeech_training/util/importers.py
imports: import argparse
  import importlib
  import os
  import re
  import sys
  from .helpers import secs_to_hours
  from collections import Counter
label_desc: Use image node_id 3 for calling a global function with example usage: print_import_report(counter, sample_rate, max_secs) without return types