code: def check_distance_triangle_inequality(test_obj, distance):
      for k in range(100):
          x = numpy.random.randn(10)
          y = numpy.random.randn(10)
          z = numpy.random.randn(10)
  
          d_xy = distance.distance(x, y)
          d_xz = distance.distance(x, z)
          d_yz = distance.distance(y, z)
  
          test_obj.assertLessEqual(d_xy, d_xz + d_yz)
  
      for k in range(100):
          x = scipy.sparse.rand(30, 1, density=0.3)
          y = scipy.sparse.rand(30, 1, density=0.3)
          z = scipy.sparse.rand(30, 1, density=0.3)
  
          d_xy = distance.distance(x, y)
          d_xz = distance.distance(x, z)
          d_yz = distance.distance(y, z)
  
          test_obj.assertTrue(d_xy <= d_xz + d_yz)
  
file_path: NearPy/tests/distances_tests.py
imports: import numpy
  import scipy
  import unittest
  from nearpy.distances import EuclideanDistance, CosineDistance, ManhattanDistance
label_desc: Use image node_id 2 for calling a global function with example usage: check_distance_triangle_inequality(test_obj, distance) without return types