Tue Mar 29 15:29:38 2022

cube_surface_distance_test():
  Python version: 3.6.9
  Test cube_surface_distance()

  The mean distance between two random points on the surface
  of a cube can be computed as:
    mu = ( 5 mu_diff + mu_same ) / 6
  where:
    mu_diff = mean distance, points are on different faces
    mu_same = mean distance, points are on same face.

  Using N = 10000 sample points,
  Exact mean distance (diff) = 0.9263900551740467
  Exact mean distance (same) = 0.5214054331647207
  Exact mean distance        = 0.8588926181724923
  Estimated mean distance    = 0.8666417799773466
  Estimated variance         = 0.09506174192091849
  Graphics saved as "cube_surface_distance_histogram.png"

cube_surface_distance_test():
  Normal end of execution.
Tue Mar 29 15:29:38 2022