code: def test_GGGM3(verbose=0):
      G = GGGM()
      sx = 1000
      x = 100 + np.array([float(st.t.rvs(5)) for i in range(sx)])
      G.init(x)
      G.estimate(x)
      if verbose:
          G.parameters()
      assert np.absolute(G.mixt[0]) < 1.0e-15
  
file_path: nipy/nipy/algorithms/clustering/tests/test_ggm.py
imports: import numpy
  import numpy.random
  import scipy.stats
  from ..ggmixture import GGGM, GGM, Gamma
label_desc: Use image node_id 6 for calling a global function with example usage: test_GGGM3(verbose) without return types