code: def test_gaussian_fdr_threshold():
      np.random.seed([2])
      x = np.random.randn(100) * 2
      ac = gaussian_fdr_threshold(x)
      assert ac > 2.0
      assert ac < 4.0
      assert ac > gaussian_fdr_threshold(x, alpha=0.1)
  
file_path: nipy/nipy/algorithms/statistics/tests/test_empirical_pvalue.py
imports: import numpy
  from ..empirical_pvalue import NormalEmpiricalNull, fdr, fdr_threshold, gaussian_fdr, gaussian_fdr_threshold, smoothed_histogram_from_samples
label_desc: Use image node_id 6 for calling a global function with example usage: test_gaussian_fdr_threshold() without return types