def test_prior_counts():
from enspara.msm.builders import normalize
C = np.array([[7, 1, 3, 1], [1, 8, 3, 1], [0, 7, 9, 2], [0, 2, 3, 4]])
C_a, T_a, eq_a = implied_timescales.prior_counts(C)
C_b, T_b, eq_b = normalize(C, prior_counts=1 / len(C))
assert_array_equal(C_a, C_b)
assert_array_equal(T_a, T_b)
assert_array_equal(eq_a, eq_b)
def prior_counts(C):
return builders.normalize(C, prior_counts=1/len(C))
def prior_counts(C):
return builders.normalize(C, prior_counts=1 / C.shape[0])