code: def test_gaussian_fdr():
      # Test that fdr works on Gaussian data
      np.random.seed([2])
      x = np.random.randn(100) * 2
      fdr = gaussian_fdr(x)
      assert fdr.min() < 0.05
      assert fdr.max() > 0.99
  
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 5 for calling a global function with example usage: test_gaussian_fdr() without return types