code: def _cudf_read_csv(cls, op):  # pragma: no cover
      if op.usecols:
          usecols = (
              op.usecols
              if isinstance(op.usecols, list)
              else [op.usecols]
          )
      else:
          usecols = op.usecols
      csv_kwargs = op.extra_params
      if op.offset == 0:
          df = cudf.read_csv(
              op.path,
              byte_range=(op.offset, op.size),
              sep=op.sep,
              usecols=usecols,
              **csv_kwargs,
          )
      else:
          df = cudf.read_csv(
              op.path,
              byte_range=(op.offset, op.size),
              sep=op.sep,
              names=op.names,
              usecols=usecols,
              nrows=op.nrows,
              **csv_kwargs,
          )
  
      if op.keep_usecols_order:
          df = df[op.usecols]
      return 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 6 for calling the DataFrameReadCSV obj's underlying member method code with example usage: obj._cudf_read_csv(cls, op) and returns: df