code: def execute(cls, ctx, op):
      xdf = cudf if op.gpu else pd
      out_df = op.outputs[0]
      csv_kwargs = op.extra_params.copy()
  
      with open_file(
          op.path,
          compression=op.compression,
          storage_options=op.storage_options,
      ) as f:
          if op.compression is not None:
              # As we specify names and dtype, we need to skip header rows
              csv_kwargs["header"] = op.header
              dtypes = op.outputs[0].dtypes
              if contain_arrow_dtype(dtypes):
                  # when keep_default_na is True which is default,
                  # will replace null value with np.nan,
                  # which will cause failure when converting to arrow string array
                  csv_kwargs["keep_default_na"] = False
                  csv_kwargs["dtype"] = cls._select_arrow_dtype(dtypes)
              df = xdf.read_csv(
                  f,
                  sep=op.sep,
                  names=op.names,
                  index_col=op.index_col,
                  usecols=op.usecols,
                  nrows=op.nrows,
                  **csv_kwargs,
              )
              if op.keep_usecols_order:
                  df = df[op.usecols]
          else:
              df = (
                  cls._cudf_read_csv(op)
                  if op.gpu
                  else cls._pandas_read_csv(f, op)
              )
      ctx[out_df.key] = df
  
imports: from io import BytesIO
  from urllib.parse import urlparse
  import pandas
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType
  from ...lib.filesystem import get_fs, open_file, file_size, glob
  from ...serialization.serializables import StringField, DictField, ListField, Int32Field, Int64Field, BoolField, AnyField
  from ...utils import parse_readable_size, lazy_import, FixedSizeFileObject
  from ..arrays import ArrowStringDtype
  from ..utils import parse_index, build_empty_df, to_arrow_dtypes, contain_arrow_dtype
  from .core import IncrementalIndexDatasource, ColumnPruneSupportedDataSourceMixin, IncrementalIndexDataSourceMixin, merge_small_files
label_desc: Use image node_id 9 for calling the DataFrameReadCSV obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types