code: def test_calc_nodewise_weight():
      np.random.seed(435265)
      X = np.random.normal(size=(50, 3))
      ghat = np.random.normal(size=2)
      that = _calc_nodewise_weight(X, ghat, 0, 0.01)
      assert_(isinstance(that, float))
  
imports: import numpy
  from numpy.testing import assert_equal, assert_
  from statsmodels.stats.regularized_covariance import _calc_nodewise_row, _calc_nodewise_weight, _calc_approx_inv_cov, RegularizedInvCovariance
label_desc: Use image node_id 2 for calling a global function with example usage: test_calc_nodewise_weight() without return types