code: def single_column_df(target="gpu") -> cudf.DataFrame:
      """Create a standard single column dataframe used for testing
  
      Use `single_column_df_data`, `single_column_df_base_data`,
      `gen_df_data_nbytes` for easy access to the buffer of the column.
  
      Notice, this is just for convenience, there is nothing special
      about this dataframe.
  
      Parameters
      ----------
      target : str, optional
          Set the spill state of the dataframe
  
      Return
      ------
      DataFrame
          A standard dataframe with a single column
      """
      ret = cudf.DataFrame({"a": [1, 2, 3]})
      if target != "gpu":
          single_column_df_data(ret).spill(target=target)
      return ret
  
imports: import importlib
  import random
  import time
  import warnings
  import weakref
  from concurrent.futures import ThreadPoolExecutor
  from typing import List, Tuple
  import cupy
  import numpy
  import pandas
  import pandas.testing
  import pytest
  import rmm
  import cudf
  import cudf.core.buffer.spill_manager
  import cudf.options
  from cudf.core.abc import Serializable
  from cudf.core.buffer import Buffer, acquire_spill_lock, as_buffer, get_spill_lock
  from cudf.core.buffer.spill_manager import SpillManager, get_global_manager, get_rmm_memory_resource_stack, set_global_manager
  from cudf.core.buffer.spillable_buffer import SpillableBuffer, SpillableBufferOwner, SpillLock
  from cudf.testing._utils import assert_eq
label_desc: Use image node_id 1 for calling a global function with example usage: single_column_df(target) and returns: ret