from graphly.generator import generator
from graphly.algorithm import algorithm
g = generator.generate("eulerian", 8)
eulerian_circuit = algorithm.find_eulerian_circuit(g)
print(" -> ".join(map(str, eulerian_circuit)))
from graphly.algorithm import algorithm
from graphly.generator import generator
seq = [2, 2, 2, 2, 2, 2, 2]
if algorithm.is_degree_seq(seq):
g = generator.generate("degree-seq", seq)
g.plot("ex02_01.png")
algorithm.randomize_graph(g, 3)
g.plot("ex02_02.png")
from graphly.generator import generator
g = generator.generate("k-regular", 8, 3)
g.plot("k-regular.png")
import random
from graphly.algorithm import algorithm
from graphly.generator import generator
g = generator.generate("random-connected", 10)
algorithm.randomize_graph(g, 3)
print(g.get_edges())
for e in g.get_edges():
e.set_weight(random.randint(1, 10))
print(g.get_edges())
g.plot_weighted("ex01.png")
from graphly.generator import generator
g = generator.generate("normal", 7, 14)
g.plot()
g = generator.generate("probability", 15, 0.05)
g.plot()