code: def process_dataframe_pie(args, trace_patch):
      names = args.get("names")
      if names is None:
          return args, trace_patch
      order_in = args["category_orders"].get(names, {}).copy()
      if not order_in:
          return args, trace_patch
      df = args["data_frame"]
      trace_patch["sort"] = False
      trace_patch["direction"] = "clockwise"
      uniques = list(df[names].unique())
      order = [
          x
          for x in OrderedDict.fromkeys(list(order_in) + uniques)
          if x in uniques
      ]
      args["data_frame"] = df.set_index(names).loc[order].reset_index()
      return args, trace_patch
  
imports: import plotly.graph_objs
  import plotly.io
  from collections import namedtuple, OrderedDict
  from ._special_inputs import IdentityMap, Constant, Range
  from .trendline_functions import ols, lowess, rolling, expanding, ewm
  from _plotly_utils.basevalidators import ColorscaleValidator
  from plotly.colors import qualitative, sequential
  import math
  from packaging import version
  import pandas
  import numpy
  from plotly._subplots import make_subplots, _set_trace_grid_reference, _subplot_type_for_trace_type
label_desc: Use image node_id 34 for calling a global function with example usage: process_dataframe_pie(args, trace_patch) and returns: args,  trace_patch, args,  trace_patch, args,  trace_patch