code: def x_y():
      rng = np.random.RandomState(20110928)
      X = rng.standard_normal((40, 10))
      Y = rng.standard_normal((40,))
      Y = np.greater(Y, 0)
      return {"X": X, "Y": Y}
  
file_path: nipy/nipy/algorithms/statistics/models/tests/test_glm.py
imports: import numpy
  import pytest
  from ..None import family
  from ..glm import Model
label_desc: Use image node_id 1 for calling a global function with example usage: x_y() and returns: dict