code: def split_data_line(line, dialect=None):
      delimiters = ",\t"
  
      # This can not be done in a per reader basis, and relational fields
      # can be HUGE
      csv.field_size_limit(int(ctypes.c_ulong(-1).value // 2))
  
      # Remove the line end if any
      if line[-1] == "\n":
          line = line[:-1]
  
      # Remove potential trailing whitespace
      line = line.strip()
  
      sniff_line = line
  
      # Add a delimiter if none is present, so that the csv.Sniffer
      # does not complain for a single-field CSV.
      if not any(d in line for d in delimiters):
          sniff_line += ","
  
      if dialect is None:
          dialect = csv.Sniffer().sniff(
              sniff_line, delimiters=delimiters
          )
          workaround_csv_sniffer_bug_last_field(
              sniff_line=sniff_line,
              dialect=dialect,
              delimiters=delimiters,
          )
  
      row = next(csv.reader([line], dialect))
  
      return row, dialect
  
imports: import re
  import datetime
  import numpy
  import csv
  import ctypes
label_desc: Use image node_id 4 for calling a global function with example usage: split_data_line(line, dialect) and returns: row,  dialect