code: def test_stats_variance_1d():
      """Test for stats_variance_1d."""
      data = np.random.rand(1000000)
      assert np.allclose(np.var(data), stats_variance_2d(data))
      assert np.allclose(
          np.var(data, ddof=1), stats_variance_2d(data, ddof=1)
      )
  
imports: import numpy
  import pytest
  from numpy.testing import assert_array_almost_equal
  from scipy.special import logsumexp
  from scipy.stats import circstd
  from ...data import from_dict, load_arviz_data
  from ...stats.density_utils import histogram
  from ...stats.stats_utils import ELPDData, _angle, _circfunc, _circular_standard_deviation, _sqrt, get_log_likelihood
  from ...stats.stats_utils import logsumexp
  from ...stats.stats_utils import make_ufunc, not_valid, stats_variance_2d, wrap_xarray_ufunc
label_desc: Use image node_id 20 for calling a global function with example usage: test_stats_variance_1d() without return types