code: def q13(customer, orders):
      customer_filtered = customer.loc[:, ["C_CUSTKEY"]]
      orders_filtered = orders[
          ~orders["O_COMMENT"].str.contains(r"special[\S|\s]*requests")
      ]
      orders_filtered = orders_filtered.loc[
          :, ["O_ORDERKEY", "O_CUSTKEY"]
      ]
      c_o_merged = customer_filtered.merge(
          orders_filtered,
          left_on="C_CUSTKEY",
          right_on="O_CUSTKEY",
          how="left",
      )
      c_o_merged = c_o_merged.loc[:, ["C_CUSTKEY", "O_ORDERKEY"]]
      count_df = c_o_merged.groupby(
          ["C_CUSTKEY"], as_index=False, sort=False
      ).agg(C_COUNT=md.NamedAgg(column="O_ORDERKEY", aggfunc="count"))
      total = count_df.groupby(
          ["C_COUNT"], as_index=False, sort=False
      ).size()
      total.columns = ["C_COUNT", "CUSTDIST"]
      total = total.sort_values(
          by=["CUSTDIST", "C_COUNT"], ascending=[False, False]
      )
      print(total.execute())
  
imports: import argparse
  import functools
  import time
  from typing import Callable, List, Optional, Set, Union
  import mars
  import mars.dataframe
label_desc: Use image node_id 22 for calling a global function with example usage: q13(customer, orders) without return types