code: def print_stats():
      """
      print statistics on class patterns to be upsampled
      """
      print("MONEY")
      for k, v in MONEY_PATTERNS.items():
          print(f"\t{k}\t{v}")
      print("no. patterns to upsample", classes_to_upsample["MONEY"])
      print("MEASURE")
      for k, v in MEASURE_PATTERNS.items():
          print(f"\t{k}\t{v}")
      print("no. patterns to upsample", classes_to_upsample["MEASURE"])
      print("TIME")
      for k, v in TIME_PATTERNS.items():
          print(f"\t{k}\t{v}")
      print("no. patterns to upsample", classes_to_upsample["TIME"])
      print("FRACTION")
      for k, v in FRACTION_PATTERNS.items():
          print(f"\t{k}\t{v}")
      print("no. patterns to upsample", classes_to_upsample["FRACTION"])
  
file_path: NeMo/examples/nlp/duplex_text_normalization/data/en/upsample.py
imports: import glob
  from argparse import ArgumentParser
  from collections import defaultdict
  from typing import List
  import numpy
  import regex
label_desc: Use image node_id 7 for calling a global function with example usage: print_stats() without return types