def test_sparse_discrete_equil_vs_iter():
# Sparse discrete time
rw = RandomWalkerEnsemble(graph=kc, issparse=True)
e1 = rw.iterate(initState, max_time = 100)
e2 = rw.get_equilibrium_distribution()
assert( very_close(e1 , e2) )
def test_sparse_continuous_vs_discrete():
# Sparse continuous time
rw1 = RandomWalkerEnsemble(graph=kc, issparse=False)
rw2 = RandomWalkerEnsemble(graph=kc, discrete_time=False, issparse=True)
e2 = rw1.get_equilibrium_distribution()
e2ct = rw2.get_equilibrium_distribution()
assert( very_close(e2ct , e2) )
def test_sparse_continuous_equil_vs_iter():
# Sparse continuous time
rw = RandomWalkerEnsemble(graph=kc, discrete_time=False, issparse=True)
e1 = rw.iterate(initState, max_time = 100)
e2ct = rw.get_equilibrium_distribution()
assert( very_close(e2ct , e1) )
