def dpmLazy():
crp = stocPy.crp(1.72)
sds = {}
ms = {}
for i in range(len(obs)):
c = crp(i)
if c not in ms:
sds[c] = math.sqrt(10 * stocPy.stocPrim("invgamma", (1, 0, 10), part=4))
ms[c] = stocPy.stocPrim("normal", (0, sds[c]), part=4)
stocPy.normal(ms[c], sds[c], obs[i])
obsLens.append(len(ms))
def dpmEager():
crp = stocPy.crp(1.72, 10)
sds = {}
ms = {}
cs = {}
for ps in range(len(crp)):
sds[ps] = math.sqrt(10 * stocPy.stocPrim("invgamma", (1, 0, 10), part=2))
ms[ps] = stocPy.stocPrim("normal", (0, sds[ps]), part=2)
for p in crp[ps]:
cs[p] = ps
for i in range(len(obs)):
stocPy.normal(ms[cs[i]], sds[cs[i]], obs[i])
obsLens.append(len(ms))
