code: def test_single_column(db, use_head):
      from sqlalchemy import (
          Column,
          Integer,
          MetaData,
          Table,
          create_engine,
      )
  
      with tmpfile() as f:
          uri = "sqlite:///%s" % f
          metadata = MetaData()
          engine = create_engine(uri)
          table = Table(
              "single_column",
              metadata,
              Column("id", Integer, primary_key=True),
          )
          metadata.create_all(engine)
          test_data = pd.DataFrame({"id": list(range(50))}).set_index(
              "id"
          )
          test_data.to_sql(
              table.name, uri, index=True, if_exists="replace"
          )
  
          if use_head:
              dask_df = read_sql_table(
                  table.name, uri, index_col="id", npartitions=2
              )
          else:
              dask_df = read_sql_table(
                  table.name,
                  uri,
                  head_rows=0,
                  npartitions=2,
                  meta=test_data.iloc[:0],
                  index_col="id",
              )
          assert dask_df.index.name == "id"
          assert dask_df.npartitions == 2
          pd_dataframe = dask_df.compute()
          assert_eq(test_data, pd_dataframe)
  
imports: from __future__ import annotations
  import io
  import sys
  from contextlib import contextmanager
  import pytest
  from dask.dataframe.io.sql import read_sql, read_sql_query, read_sql_table
  from dask.dataframe.utils import assert_eq, get_string_dtype
  from dask.utils import tmpfile
label_desc: Use image node_id 3 for calling a global function with example usage: test_single_column(db, use_head) without return types