code: def load_lineitem(fpath):
      cols_names = [
          "L_ORDERKEY",
          "L_PARTKEY",
          "L_SUPPKEY",
          "L_LINENUMBER",
          "L_QUANTITY",
          "L_EXTENDEDPRICE",
          "L_DISCOUNT",
          "L_TAX",
          "L_RETURNFLAG",
          "L_LINESTATUS",
          "L_SHIPDATE",
          "L_COMMITDATE",
          "L_RECEIPTDATE",
          "L_SHIPINSTRUCT",
          "L_SHIPMODE",
          "L_COMMENT",
      ]
      cols = {
          "L_ORDERKEY": np.int64,
          "L_PARTKEY": np.int64,
          "L_SUPPKEY": np.int64,
          "L_LINENUMBER": np.int64,
          "L_QUANTITY": np.float64,
          "L_EXTENDEDPRICE": np.float64,
          "L_DISCOUNT": np.float64,
          "L_TAX": np.float64,
          "L_RETURNFLAG": str,
          "L_LINESTATUS": str,
          "L_SHIPDATE": str,
          "L_COMMITDATE": str,
          "L_RECEIPTDATE": str,
          "L_SHIPINSTRUCT": str,
          "L_SHIPMODE": str,
          "L_COMMENT": str,
      }
      rel = pd.read_csv(
          fpath,
          sep="|",
          header=None,
          names=cols_names,
          dtype=cols,
          parse_dates=[10, 11, 12],
      )
      return rel
  
file_path: mars/benchmarks/tpch/loader.py
imports: import numpy
  import pandas
label_desc: Use image node_id 1 for calling a global function with example usage: load_lineitem(fpath) and returns: rel