Fri Sep  1 11:01:29 2023

delsq_test():
  Python version: 3.8.10
  Test delsq()
G07
[[ 0  0  0  0  0  0  0]
 [ 0  1  2  3  4  5  0]
 [ 0  6  7  8  9 10  0]
 [ 0  0  0  0 11 12  0]
 [ 0  0  0  0 13 14  0]
 [ 0  0  0  0 15 16  0]
 [ 0  0  0  0  0  0  0]]
D
  (0, 0)	4.0
  (1, 1)	4.0
  (2, 2)	4.0
  (3, 3)	4.0
  (4, 4)	4.0
  (5, 5)	4.0
  (6, 6)	4.0
  (7, 7)	4.0
  (8, 8)	4.0
  (9, 9)	4.0
  (10, 10)	4.0
  (11, 11)	4.0
  (12, 12)	4.0
  (13, 13)	4.0
  (14, 14)	4.0
  (15, 15)	4.0
  (1, 0)	-1.0
  (2, 1)	-1.0
  (3, 2)	-1.0
  (4, 3)	-1.0
  (6, 5)	-1.0
  (7, 6)	-1.0
  (8, 7)	-1.0
  (9, 8)	-1.0
  (11, 10)	-1.0
  :	:
  (11, 13)	-1.0
  (12, 14)	-1.0
  (13, 15)	-1.0
  (0, 1)	-1.0
  (1, 2)	-1.0
  (2, 3)	-1.0
  (3, 4)	-1.0
  (5, 6)	-1.0
  (6, 7)	-1.0
  (7, 8)	-1.0
  (8, 9)	-1.0
  (10, 11)	-1.0
  (12, 13)	-1.0
  (14, 15)	-1.0
  (5, 0)	-1.0
  (6, 1)	-1.0
  (7, 2)	-1.0
  (8, 3)	-1.0
  (9, 4)	-1.0
  (10, 8)	-1.0
  (11, 9)	-1.0
  (12, 10)	-1.0
  (13, 11)	-1.0
  (14, 12)	-1.0
  (15, 13)	-1.0
  Graphics saved as "delsq_7x7.png"

  numgrid region "L" with n =  10

  This grid uses  48  interior nodes.

  Node indices:
[[ 0  0  0  0  0  0  0  0  0  0]
 [ 0  1  2  3  4  5  6  7  8  0]
 [ 0  9 10 11 12 13 14 15 16  0]
 [ 0 17 18 19 20 21 22 23 24  0]
 [ 0 25 26 27 28 29 30 31 32  0]
 [ 0  0  0  0  0 33 34 35 36  0]
 [ 0  0  0  0  0 37 38 39 40  0]
 [ 0  0  0  0  0 41 42 43 44  0]
 [ 0  0  0  0  0 45 46 47 48  0]
 [ 0  0  0  0  0  0  0  0  0  0]]
  Graphics saved as "grid_10x10.png"

  numgrid region "L" with n =  32

  This grid uses  675  interior nodes.
  Graphics saved as "grid_32x32.png"

  Sparse Laplacian operator D
  Graphics saved as "delsq_10x10.png"
D.shape (675, 675)
  Graphics saved as "contour_plot.png"
  Graphics saved as "mesh_plot.png"

delsq_test():
  Normal end of execution.
Fri Sep  1 11:01:31 2023