code: def q10(lineitem, orders, customer, nation):
      date1 = md.Timestamp("1994-11-01")
      date2 = md.Timestamp("1995-02-01")
      osel = (orders.O_ORDERDATE >= date1) & (
          orders.O_ORDERDATE < date2
      )
      lsel = lineitem.L_RETURNFLAG == "R"
      forders = orders[osel]
      flineitem = lineitem[lsel]
      jn1 = flineitem.merge(
          forders, left_on="L_ORDERKEY", right_on="O_ORDERKEY"
      )
      jn2 = jn1.merge(
          customer, left_on="O_CUSTKEY", right_on="C_CUSTKEY"
      )
      jn3 = jn2.merge(
          nation, left_on="C_NATIONKEY", right_on="N_NATIONKEY"
      )
      jn3["TMP"] = jn3.L_EXTENDEDPRICE * (1.0 - jn3.L_DISCOUNT)
      gb = jn3.groupby(
          [
              "C_CUSTKEY",
              "C_NAME",
              "C_ACCTBAL",
              "C_PHONE",
              "N_NAME",
              "C_ADDRESS",
              "C_COMMENT",
          ],
          as_index=False,
          sort=False,
      )["TMP"].sum()
      total = gb.sort_values("TMP", ascending=False)
      print(total.head(20).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 19 for calling a global function with example usage: q10(lineitem, orders, customer, nation) without return types