code: def add_kwarg(lines, gin_configurable, kwarg, value):
      """Return the line where a GinConfigurable first appears."""
      gin_kwarg = gin_configurable + "." + kwarg
      new_line = gin_kwarg + " = " + value + "\n"
      configurable_present = any(
          [gin_configurable in line for line in lines]
      )
      kwarg_present = any([gin_kwarg in line for line in lines])
      if configurable_present and not kwarg_present:
          # Add to the bottom of the config.
          lines.append("\n" + new_line)
          print(f"Added: {new_line.rstrip()}")
      elif configurable_present and kwarg_present:
          print(
              f"Skipped Add: {new_line.rstrip()}, {gin_kwarg} already present."
          )
      else:
          print(
              f"Skipped Add: {new_line.rstrip()}, {gin_configurable} not present."
          )
  
imports: import os
  import re
  from absl import app
  from absl import flags
  from tensorflow import io
label_desc: Use image node_id 1 for calling a global function with example usage: add_kwarg(lines, gin_configurable, kwarg, value) without return types