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1"""Approximations of graph properties and Heuristic methods for optimization. 

2 

3The functions in this class are not imported into the top-level ``networkx`` 

4namespace so the easiest way to use them is with:: 

5 

6 >>> from networkx.algorithms import approximation 

7 

8Another option is to import the specific function with 

9``from networkx.algorithms.approximation import function_name``. 

10 

11""" 

12 

13from networkx.algorithms.approximation.clustering_coefficient import * 

14from networkx.algorithms.approximation.clique import * 

15from networkx.algorithms.approximation.connectivity import * 

16from networkx.algorithms.approximation.distance_measures import * 

17from networkx.algorithms.approximation.dominating_set import * 

18from networkx.algorithms.approximation.kcomponents import * 

19from networkx.algorithms.approximation.matching import * 

20from networkx.algorithms.approximation.ramsey import * 

21from networkx.algorithms.approximation.steinertree import * 

22from networkx.algorithms.approximation.traveling_salesman import * 

23from networkx.algorithms.approximation.treewidth import * 

24from networkx.algorithms.approximation.vertex_cover import * 

25from networkx.algorithms.approximation.maxcut import * 

26from networkx.algorithms.approximation.density import *