code: def update_reorders_v2(output_file_path):
      """Writes a Python dictionary mapping function name to argument order.
  
      Args:
        output_file_path: File path to write output to. Any existing contents
          would be replaced.
      """
      spec = tf_upgrade_v2.TFAPIChangeSpec()
      reordered_function_names = spec.reordered_function_names
      # We assume that `function_transformers` operate on the keyword arguments, so
      # for those we will expand all the arguments
      need_kwargs_function_names = spec.function_transformers.keys()
      function_renames = spec.symbol_renames
  
      all_reorders = collect_function_arg_names(
          reordered_function_names,
          need_kwargs_function_names,
          function_renames,
      )
  
      # List of reorder lines to write to output file in the form:
      #   'tf.function_name': ['arg1', 'arg2', ...]
      rename_lines = [
          get_reorder_line(name, arg_names)
          for name, arg_names in all_reorders.items()
      ]
      renames_file_text = "%sreorders = {\n%s\n}\n" % (
          _FILE_HEADER,
          ",\n".join(sorted(rename_lines)),
      )
      file_io.write_string_to_file(output_file_path, renames_file_text)
  
file_path: tensorflow-upstream/tensorflow/tools/compatibility/update/generate_v2_reorders_map.py
imports: from absl import app
  import tensorflow
  from tensorflow import python
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_export
  from tensorflow.python.util import tf_inspect
  from tensorflow.tools.common import public_api
  from tensorflow.tools.common import traverse
  from tensorflow.tools.compatibility import tf_upgrade_v2
label_desc: Use image node_id 3 for calling a global function with example usage: update_reorders_v2(output_file_path) without return types