SymPy | Partition.RGS_unrank() in Python

Partition.RGS_unrank(rank, n) : RGS_unrank() is a sympy Python library function that gives the unranked restricted growth strings (string where a[i] is the block in which element i occurs) for a superset of size n.

Restricted growth strings – string in which each character, ai results in the Block (Bi) in which the corresponding element belongs.

Syntax : sympy.combinatorics.partitions.Partition.RGS_unrank()



Return : nranked restricted growth for a superset of size n.

Code #1 : RGS_unrank() Example

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python code explaining
# SymPy.RGS_unrank()
  
# importing SymPy libraries
from sympy.combinatorics.partitions import Partition
from sympy.combinatorics.partitions import RGS_unrank
  
# Using from sympy.combinatorics.partitions.Partition.RGS_unrank() method 
rank = 10
n = 5
p = RGS_unrank(rank, n)
  
print ("unranked restricted growth string for super size 10 : \n", p)

chevron_right


Output :

unranked restricted growth string for super size 10 :
[0, 0, 1, 1, 2]

Code #2 : RGS_unrank() Example

filter_none

edit
close

play_arrow

link
brightness_4
code

# Python code explaining
# SymPy.RGS_unrank()
  
# importing SymPy libraries
from sympy.combinatorics.partitions import Partition
from sympy.combinatorics.partitions import RGS_unrank
  
# Using from sympy.combinatorics.partitions.Partition.RGS_unrank() method 
p = RGS_unrank(100, 10)
  
print ("unranked restricted growth string for super size 10 : \n", p)

chevron_right


Output :

unranked restricted growth string for super size 10 :
[0, 0, 0, 0, 0, 1, 1, 1, 0, 1]



My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.




Article Tags :

Be the First to upvote.


Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.