def check_k_sample_fpp(ip, p, k, m):
N = 1000
r = 0
for i in range(N):
samples = np.random.random_sample((k,m))
A2, TkN, (tkm1, ps), pv = anderson_darling.anderson_darling_k(samples)
if pv<=p:
r += 1
assert scipy.stats.binom(N,p).cdf(r) > 0.01
assert scipy.stats.binom(N,p).sf(r) > 0.01
def test_k_sample_simple_fail():
samples = np.random.random_sample((2,100))
samples[1,:] *= 2
A2, TkN, (tkm1, ps), pv = anderson_darling.anderson_darling_k(samples)
assert pv<=0.01 # 0.01 is the smallest possible p
def test_k_sample_simple_pass():
samples = np.random.random_sample((2,10))
A2, TkN, (tkm1, ps), pv = anderson_darling.anderson_darling_k(samples)
assert pv>0.01 # 0.01 is the smallest possible p