code: def test_random():
      # Test that random numbers are between 0 and 1 and that the mean is 0.5.
      for _ in range(10):
          vec = random()
          assert_(vec < 1 and vec > 0)
  
      random_number_list = []
      for _ in range(10000):
          random_number_list.append(random())
      assert_almost_equal(np.mean(random_number_list), 0.5, decimal=1)
  
      # Test the random generator seed input
      for s in [0, 1, np.iinfo(np.uint32).max]:
          seed(s)
      for s in [np.iinfo(np.uint32).max + 1, -1]:
          assert_raises(OverflowError, seed, s)
  
imports: import numpy
  from numpy.testing import assert_, assert_almost_equal, assert_raises
  from dipy.utils.fast_numpy import random, seed, random_point_within_circle
label_desc: Use image node_id 1 for calling a global function with example usage: test_random() without return types