def test_lladser_ci_series_random():
seq = "WBWBWBWBWBWB"
observations = []
alpha = 0.95
reps = 1000
for i in range(reps):
obs = list(_lladser_ci_series(seq, r=4, alpha=alpha))[0]
observations.append(obs)
tps = list(filter(lambda a_b: a_b[0] < 0.5 and 0.5 < a_b[1], observations))
assert_true(len(tps) >= alpha * reps) # 100%-95%
def test_lladser_ci_series_random():
seq = "WBWBWBWBWBWB"
observations = []
alpha = 0.95
reps = 1000
for i in range(reps):
obs = list(_lladser_ci_series(seq, r=4, alpha=alpha))[0]
observations.append(obs)
tps = list(filter(lambda a_b: a_b[0] < 0.5 and 0.5 < a_b[1], observations))
assert_true(len(tps) >= alpha * reps) # 100%-95%
def test_lladser_ci_series_exact():
# have seen RWB
urn_1 = 'RWBWWBWRRWRYWRPPZ'
results = list(_lladser_ci_series(urn_1, r=4))
assert_equal(len(results), 3)
def test_lladser_ci_series_exact():
# have seen RWB
urn_1 = 'RWBWWBWRRWRYWRPPZ'
results = list(_lladser_ci_series(urn_1, r=4))
assert_equal(len(results), 3)