SymPy | Subset.prev_gray() in Python

SymPy | Subset.rank_gray() in Python

Last Updated : 26 Aug, 2019

Subset.rank_gray() : rank_gray() is a sympy Python library function that returns the Gray code ranking of the subset.

Syntax : sympy.combinatorics.subset.Subset.rank_gray() Return : Gray code ranking of the subset

Code #1 : rank_gray() Example

Python3 1=1

# Python code explaining
# SymPy.Subset.rank_gray()

# importing SymPy libraries
from sympy.combinatorics import Permutation, Cycle
from sympy.combinatorics.subsets import Subset

# Using from 
# sympy.combinatorics.subset.Subsets.rank_gray()

# Creating Subset
a = Subset(['c', 'd'], ['geek', 'for', 'c', 'd'])

# rank_gray value
print ("Subset a rank_gray : ", a.rank_gray)

Output :

Subset a rank_gray : 2

Code #2 : rank_gray() Example

Python3 1=1

# Python code explaining
# SymPy.Subset.rank_gray()

# importing SymPy libraries
from sympy.combinatorics import Permutation, Cycle
from sympy.combinatorics.subsets import Subset

# Using from 
# sympy.combinatorics.subset.Subsets.rank_gray()

# Creating Subset
a = Subset([2, 3, 4], [1, 2, 3, 4, 5])

# rank_gray value
print ("Subset a rank_gray : ", a.rank_gray)

Output :

Subset a rank_gray : 11

SymPy | Subset.prev_gray() in Python

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