code: def test_minimum_distance():
      xyz1 = np.array([[1, 0, 0], [2, 0, 0]], dtype="float32")
      xyz2 = np.array([[3, 0, 0], [4, 0, 0]], dtype="float32")
      assert_equal(pf.minimum_closest_distance(xyz1, xyz2), 1.0)
  
file_path: dipy/dipy/tracking/tests/test_distances.py
imports: import warnings
  import numpy
  from numpy.testing import assert_array_almost_equal, assert_equal, assert_almost_equal, assert_array_equal
  from dipy.testing import assert_true
  from dipy.testing.decorators import set_random_number_generator
  from dipy.tracking import distances
  from dipy.tracking.streamline import set_number_of_points
  from dipy.data import get_fnames
  from dipy.io.streamline import load_tractogram
label_desc: Use image node_id 9 for calling a global function with example usage: test_minimum_distance() without return types