ep is to understan the logics of what you want to do, in your case, build 4 point surfaces (u also need to know the right direction to build the surfaces). Then you can write an hipotetic list (by hand in a paper) of what you want. In your case the list was (0, 1, 3, 2) (2, 3, 5, 4) (4, 5, 7, 6), etc... if you can imagine building 2 lists, each one with the sequences (0, 2, 4, 6, etcc) and (1, 3, 5, 7, etc..) then you can manage with shift and graft to finally have four lists. A( 0 1 2 3 ...) B (1 3 5 etc..) C(3 5 7 etc..) D (2 4 6 etc..). And to achieve the 2 first lists, you need to get the odd and the pair numbers. The cull pattern does that amazingy well. With a pattern True-False you get de pair numbers, and with the False-True pattern you get de odd numbers.
Hope it was clear enough…
Added by Pep Tornabell at 5:32am on November 19, 2009
points 0, X-1, (2*x)-1, (3*X)-1, (4*X)-1, (5*X)-1 and then
1, X, (2*x), (3*X), (4*X), (5*X)
2, X+1, (2*x)+1, (3*X)+1, (4*X)+1, (5*X)+1
and so on till
5, X+4, (2*x)+4, (3*X)+4, (4*X)+4, (5*X)+4
How can I do this best?
Thanks,
Niels…
e
7. True
8. True <-- this one
9. True
10. False
11. True
12. False
13. True
14. True <-- this one
15. True
16. False
17. True
18. False
19. True
20. True <-- this one
21. True
22. False
23. True
24. False
25. True
26. True <-- this one
27. True
28. False
29. True
30. False
31. True
32. True <-- this one
33. True
Any idea how I can solve this?
Thanks!…
pen Brep"; I didn't know it worked on flat surfaces. And I think it's only fair to include in your benchmark the considerable time 'SUnion' takes in this example: 21.9 seconds for 121 rings and likely much more with 400 or 1,000+ rings.
Then I noticed the pattern doesn't match. Checked the circles and they are the same. The distance between them, however, is different: 7 instead of 6. When I change that value to 6, the Python fails badly. All the holes and gaps are gone, which destroys the pattern:
I can't do the "two phase" approach on an 11 X 11 grid, but I can do 6 X 6 and 2 X 2 to get a 12 X 12 grid (40 'SUnion' operations) in 28 seconds total. That beats your benchmark of ~37 seconds for an 11 X 11 grid, if you include the 'SUnion' in your code.
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