code: def q02(part, partsupp, supplier, nation, region):
      nation_filtered = nation.loc[
          :, ["N_NATIONKEY", "N_NAME", "N_REGIONKEY"]
      ]
      region_filtered = region[(region["R_NAME"] == "EUROPE")]
      region_filtered = region_filtered.loc[:, ["R_REGIONKEY"]]
      r_n_merged = nation_filtered.merge(
          region_filtered,
          left_on="N_REGIONKEY",
          right_on="R_REGIONKEY",
          how="inner",
      )
      r_n_merged = r_n_merged.loc[:, ["N_NATIONKEY", "N_NAME"]]
      supplier_filtered = supplier.loc[
          :,
          [
              "S_SUPPKEY",
              "S_NAME",
              "S_ADDRESS",
              "S_NATIONKEY",
              "S_PHONE",
              "S_ACCTBAL",
              "S_COMMENT",
          ],
      ]
      s_r_n_merged = r_n_merged.merge(
          supplier_filtered,
          left_on="N_NATIONKEY",
          right_on="S_NATIONKEY",
          how="inner",
      )
      s_r_n_merged = s_r_n_merged.loc[
          :,
          [
              "N_NAME",
              "S_SUPPKEY",
              "S_NAME",
              "S_ADDRESS",
              "S_PHONE",
              "S_ACCTBAL",
              "S_COMMENT",
          ],
      ]
      partsupp_filtered = partsupp.loc[
          :, ["PS_PARTKEY", "PS_SUPPKEY", "PS_SUPPLYCOST"]
      ]
      ps_s_r_n_merged = s_r_n_merged.merge(
          partsupp_filtered,
          left_on="S_SUPPKEY",
          right_on="PS_SUPPKEY",
          how="inner",
      )
      ps_s_r_n_merged = ps_s_r_n_merged.loc[
          :,
          [
              "N_NAME",
              "S_NAME",
              "S_ADDRESS",
              "S_PHONE",
              "S_ACCTBAL",
              "S_COMMENT",
              "PS_PARTKEY",
              "PS_SUPPLYCOST",
          ],
      ]
      part_filtered = part.loc[
          :, ["P_PARTKEY", "P_MFGR", "P_SIZE", "P_TYPE"]
      ]
      part_filtered = part_filtered[
          (part_filtered["P_SIZE"] == 15)
          & (part_filtered["P_TYPE"].str.endswith("BRASS"))
      ]
      part_filtered = part_filtered.loc[:, ["P_PARTKEY", "P_MFGR"]]
      merged_df = part_filtered.merge(
          ps_s_r_n_merged,
          left_on="P_PARTKEY",
          right_on="PS_PARTKEY",
          how="inner",
      )
      merged_df = merged_df.loc[
          :,
          [
              "N_NAME",
              "S_NAME",
              "S_ADDRESS",
              "S_PHONE",
              "S_ACCTBAL",
              "S_COMMENT",
              "PS_SUPPLYCOST",
              "P_PARTKEY",
              "P_MFGR",
          ],
      ]
      min_values = merged_df.groupby(
          "P_PARTKEY", as_index=False, sort=False
      )["PS_SUPPLYCOST"].min()
      min_values.columns = ["P_PARTKEY_CPY", "MIN_SUPPLYCOST"]
      merged_df = merged_df.merge(
          min_values,
          left_on=["P_PARTKEY", "PS_SUPPLYCOST"],
          right_on=["P_PARTKEY_CPY", "MIN_SUPPLYCOST"],
          how="inner",
      )
      total = merged_df.loc[
          :,
          [
              "S_ACCTBAL",
              "S_NAME",
              "N_NAME",
              "P_PARTKEY",
              "P_MFGR",
              "S_ADDRESS",
              "S_PHONE",
              "S_COMMENT",
          ],
      ]
      total = total.sort_values(
          by=["S_ACCTBAL", "N_NAME", "S_NAME", "P_PARTKEY"],
          ascending=[False, 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 11 for calling a global function with example usage: q02(part, partsupp, supplier, nation, region) without return types