Update README.md

README.md

@@ -8,13 +8,16 @@ pip install cycle-analysis
 
 ```python
 import networkx as nx
+import cycle_analysis.cycle_coalescence as cc
+import cycle_analysis.test as cat
+
 # generate a dummy graph for testing
 # put an edge weight distribution on the system, available are random/gradient/bigradient/nested_square
 G=nx.grid_graph((7,7,1))
-G=ag.generate_pattern(G,'nested_square')
+G=cat.generate_pattern(G,'nested_square')
 
 # merge all shortest cycles and calc the merging tree's asymmetry
-asymmetry=ag.calc_cycle_asymmetry(G)
+asymmetry=cc.calc_cycle_asymmetry(G)
 print(asymmetry)
 ```