code: def make_vecs_vals(shape):
      return randn(*shape), randn(*(shape[:-2] + shape[-1:]))
  
file_path: dipy/dipy/reconst/tests/test_vec_val_vect.py
imports: import numpy
  from numpy.random import randn
  from numpy.testing import assert_almost_equal
  from dipy.reconst.vec_val_sum import vec_val_vect
label_desc: Use image node_id 1 for calling a global function with example usage: make_vecs_vals(shape) and returns: randn,  randn