code: def test_larger_data():
      df = dd.demo.make_timeseries(
          "2000-01-01",
          "2000-04-01",
          {"value": float, "id": int},
          freq="10s",
          partition_freq="1D",
          seed=1,
      )
      assert df.nunique_approx().compute() > 1000
  
imports: from __future__ import annotations
  import numpy
  import pandas
  import pytest
  import dask.dataframe
label_desc: Use image node_id 3 for calling a global function with example usage: test_larger_data() without return types