code: def test_vector_norm():
      A = np.array([[1, 0, 0], [3, 4, 0], [0, 5, 12], [1, 2, 3]])
      expected = np.array([1, 5, 13, np.sqrt(14)])
      assert_array_almost_equal(vector_norm(A), expected)
      expected.shape = (4, 1)
      assert_array_almost_equal(vector_norm(A, keepdims=True), expected)
      assert_array_almost_equal(
          vector_norm(A.T, axis=0, keepdims=True), expected.T
      )
  
imports: import numpy
  import random
  from dipy.core.geometry import sphere2cart, cart2sphere, nearest_pos_semi_def, sphere_distance, cart_distance, vector_cosine, lambert_equal_area_projection_polar, circumradius, vec2vec_rotmat, vector_norm, compose_transformations, compose_matrix, decompose_matrix, perpendicular_directions, dist_to_corner, is_hemispherical
  from numpy.testing import assert_array_equal, assert_array_almost_equal, assert_equal, assert_raises, assert_almost_equal
  from dipy.testing.spherepoints import sphere_points
  from dipy.testing.decorators import set_random_number_generator
  from dipy.core.sphere_stats import random_uniform_on_sphere
  from itertools import permutations
label_desc: Use image node_id 1 for calling a global function with example usage: test_vector_norm() without return types