code: def read_csv_file(csv_file, read_weights_in_sp=True):
      if read_weights_in_sp is True:
          return cudf.read_csv(
              csv_file,
              delimiter=" ",
              dtype={"0": "int32", "1": "int32", "2": "float32"},
              header=None,
          )
      else:
          return cudf.read_csv(
              csv_file,
              delimiter=" ",
              dtype={"0": "int32", "1": "int32", "2": "float64"},
              header=None,
          )
  
imports: import os
  import pytest
  import pandas
  import networkx
  import numpy
  import cupy
  from cupyx.scipy.sparse import coo_matrix
  from cupyx.scipy.sparse import csr_matrix
  from cupyx.scipy.sparse import csc_matrix
  from scipy.sparse import coo_matrix
  from scipy.sparse import csr_matrix
  from scipy.sparse import csc_matrix
  from pathlib import Path
  import cudf
  import dask_cudf
  import cugraph
  from cugraph.dask.common.mg_utils import get_client
label_desc: Use image node_id 3 for calling a global function with example usage: read_csv_file(csv_file, read_weights_in_sp) and returns: cudf, cudf