code: def q07(lineitem, supplier, orders, customer, nation):
      """This version is faster than q07_old. Keeping the old one for reference"""
      lineitem_filtered = lineitem[
          (lineitem["L_SHIPDATE"] >= md.Timestamp("1995-01-01"))
          & (lineitem["L_SHIPDATE"] < md.Timestamp("1997-01-01"))
      ]
      lineitem_filtered["L_YEAR"] = lineitem_filtered[
          "L_SHIPDATE"
      ].dt.year
      lineitem_filtered["VOLUME"] = lineitem_filtered[
          "L_EXTENDEDPRICE"
      ] * (1.0 - lineitem_filtered["L_DISCOUNT"])
      lineitem_filtered = lineitem_filtered.loc[
          :, ["L_ORDERKEY", "L_SUPPKEY", "L_YEAR", "VOLUME"]
      ]
      supplier_filtered = supplier.loc[:, ["S_SUPPKEY", "S_NATIONKEY"]]
      orders_filtered = orders.loc[:, ["O_ORDERKEY", "O_CUSTKEY"]]
      customer_filtered = customer.loc[:, ["C_CUSTKEY", "C_NATIONKEY"]]
      n1 = nation[(nation["N_NAME"] == "FRANCE")].loc[
          :, ["N_NATIONKEY", "N_NAME"]
      ]
      n2 = nation[(nation["N_NAME"] == "GERMANY")].loc[
          :, ["N_NATIONKEY", "N_NAME"]
      ]
  
      # ----- do nation 1 -----
      N1_C = customer_filtered.merge(
          n1, left_on="C_NATIONKEY", right_on="N_NATIONKEY", how="inner"
      )
      N1_C = N1_C.drop(columns=["C_NATIONKEY", "N_NATIONKEY"]).rename(
          columns={"N_NAME": "CUST_NATION"}
      )
      N1_C_O = N1_C.merge(
          orders_filtered,
          left_on="C_CUSTKEY",
          right_on="O_CUSTKEY",
          how="inner",
      )
      N1_C_O = N1_C_O.drop(columns=["C_CUSTKEY", "O_CUSTKEY"])
  
      N2_S = supplier_filtered.merge(
          n2, left_on="S_NATIONKEY", right_on="N_NATIONKEY", how="inner"
      )
      N2_S = N2_S.drop(columns=["S_NATIONKEY", "N_NATIONKEY"]).rename(
          columns={"N_NAME": "SUPP_NATION"}
      )
      N2_S_L = N2_S.merge(
          lineitem_filtered,
          left_on="S_SUPPKEY",
          right_on="L_SUPPKEY",
          how="inner",
      )
      N2_S_L = N2_S_L.drop(columns=["S_SUPPKEY", "L_SUPPKEY"])
  
      total1 = N1_C_O.merge(
          N2_S_L,
          left_on="O_ORDERKEY",
          right_on="L_ORDERKEY",
          how="inner",
      )
      total1 = total1.drop(columns=["O_ORDERKEY", "L_ORDERKEY"])
  
      # ----- do nation 2 -----
      N2_C = customer_filtered.merge(
          n2, left_on="C_NATIONKEY", right_on="N_NATIONKEY", how="inner"
      )
      N2_C = N2_C.drop(columns=["C_NATIONKEY", "N_NATIONKEY"]).rename(
          columns={"N_NAME": "CUST_NATION"}
      )
      N2_C_O = N2_C.merge(
          orders_filtered,
          left_on="C_CUSTKEY",
          right_on="O_CUSTKEY",
          how="inner",
      )
      N2_C_O = N2_C_O.drop(columns=["C_CUSTKEY", "O_CUSTKEY"])
  
      N1_S = supplier_filtered.merge(
          n1, left_on="S_NATIONKEY", right_on="N_NATIONKEY", how="inner"
      )
      N1_S = N1_S.drop(columns=["S_NATIONKEY", "N_NATIONKEY"]).rename(
          columns={"N_NAME": "SUPP_NATION"}
      )
      N1_S_L = N1_S.merge(
          lineitem_filtered,
          left_on="S_SUPPKEY",
          right_on="L_SUPPKEY",
          how="inner",
      )
      N1_S_L = N1_S_L.drop(columns=["S_SUPPKEY", "L_SUPPKEY"])
  
      total2 = N2_C_O.merge(
          N1_S_L,
          left_on="O_ORDERKEY",
          right_on="L_ORDERKEY",
          how="inner",
      )
      total2 = total2.drop(columns=["O_ORDERKEY", "L_ORDERKEY"])
  
      # concat results
      total = md.concat([total1, total2])
  
      total = total.groupby(
          ["SUPP_NATION", "CUST_NATION", "L_YEAR"], as_index=False
      ).agg(REVENUE=md.NamedAgg(column="VOLUME", aggfunc="sum"))
      # skip sort when Mars groupby does sort already
      # total = total.sort_values(
      #     by=["SUPP_NATION", "CUST_NATION", "L_YEAR"], ascending=[True, True, True]
      # )
      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 16 for calling a global function with example usage: q07(lineitem, supplier, orders, customer, nation) without return types