code: def q08(part, lineitem, supplier, orders, customer, nation, region):
      part_filtered = part[(part["P_TYPE"] == "ECONOMY ANODIZED STEEL")]
      part_filtered = part_filtered.loc[:, ["P_PARTKEY"]]
      lineitem_filtered = lineitem.loc[
          :, ["L_PARTKEY", "L_SUPPKEY", "L_ORDERKEY"]
      ]
      lineitem_filtered["VOLUME"] = lineitem["L_EXTENDEDPRICE"] * (
          1.0 - lineitem["L_DISCOUNT"]
      )
      total = part_filtered.merge(
          lineitem_filtered,
          left_on="P_PARTKEY",
          right_on="L_PARTKEY",
          how="inner",
      )
      total = total.loc[:, ["L_SUPPKEY", "L_ORDERKEY", "VOLUME"]]
      supplier_filtered = supplier.loc[:, ["S_SUPPKEY", "S_NATIONKEY"]]
      total = total.merge(
          supplier_filtered,
          left_on="L_SUPPKEY",
          right_on="S_SUPPKEY",
          how="inner",
      )
      total = total.loc[:, ["L_ORDERKEY", "VOLUME", "S_NATIONKEY"]]
      orders_filtered = orders[
          (orders["O_ORDERDATE"] >= md.Timestamp("1995-01-01"))
          & (orders["O_ORDERDATE"] < md.Timestamp("1997-01-01"))
      ]
      orders_filtered["O_YEAR"] = orders_filtered["O_ORDERDATE"].dt.year
      orders_filtered = orders_filtered.loc[
          :, ["O_ORDERKEY", "O_CUSTKEY", "O_YEAR"]
      ]
      total = total.merge(
          orders_filtered,
          left_on="L_ORDERKEY",
          right_on="O_ORDERKEY",
          how="inner",
      )
      total = total.loc[
          :, ["VOLUME", "S_NATIONKEY", "O_CUSTKEY", "O_YEAR"]
      ]
      customer_filtered = customer.loc[:, ["C_CUSTKEY", "C_NATIONKEY"]]
      total = total.merge(
          customer_filtered,
          left_on="O_CUSTKEY",
          right_on="C_CUSTKEY",
          how="inner",
      )
      total = total.loc[
          :, ["VOLUME", "S_NATIONKEY", "O_YEAR", "C_NATIONKEY"]
      ]
      n1_filtered = nation.loc[:, ["N_NATIONKEY", "N_REGIONKEY"]]
      n2_filtered = nation.loc[:, ["N_NATIONKEY", "N_NAME"]].rename(
          columns={"N_NAME": "NATION"}
      )
      total = total.merge(
          n1_filtered,
          left_on="C_NATIONKEY",
          right_on="N_NATIONKEY",
          how="inner",
      )
      total = total.loc[
          :, ["VOLUME", "S_NATIONKEY", "O_YEAR", "N_REGIONKEY"]
      ]
      total = total.merge(
          n2_filtered,
          left_on="S_NATIONKEY",
          right_on="N_NATIONKEY",
          how="inner",
      )
      total = total.loc[
          :, ["VOLUME", "O_YEAR", "N_REGIONKEY", "NATION"]
      ]
      region_filtered = region[(region["R_NAME"] == "AMERICA")]
      region_filtered = region_filtered.loc[:, ["R_REGIONKEY"]]
      total = total.merge(
          region_filtered,
          left_on="N_REGIONKEY",
          right_on="R_REGIONKEY",
          how="inner",
      )
      total = total.loc[:, ["VOLUME", "O_YEAR", "NATION"]]
  
      def udf(df):
          demonimator = df["VOLUME"].sum()
          df = df[df["NATION"] == "BRAZIL"]
          numerator = df["VOLUME"].sum()
          return numerator / demonimator
  
      total = total.groupby("O_YEAR", as_index=False).apply(udf)
      total.columns = ["O_YEAR", "MKT_SHARE"]
      total = total.sort_values(by=["O_YEAR"], ascending=[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 17 for calling a global function with example usage: q08(part, lineitem, supplier, orders, customer, nation, region) and returns: unknown