def test_offgrid_float(self):
qn = qnormal_gen(0, 1, .2)
assert qn.pmf(0) > 0.0
assert qn.pmf(.1) == 0.0
assert qn.pmf(.2) > 0.0
assert qn.pmf(.4) > 0.0
assert qn.pmf(-.2) > 0.0
assert qn.pmf(-.4) > 0.0
assert qn.pmf(.99) == 0.0
assert qn.pmf(-.99) == 0.0
def test_offgrid_float(self):
qn = qnormal_gen(0, 1, 0.2)
assert qn.pmf(0) > 0.0
assert qn.pmf(0.1) == 0.0
assert qn.pmf(0.2) > 0.0
assert qn.pmf(0.4) > 0.0
assert qn.pmf(-0.2) > 0.0
assert qn.pmf(-0.4) > 0.0
assert qn.pmf(0.99) == 0.0
assert qn.pmf(-0.99) == 0.0
def test_rvs(self):
for mu, sigma, q in [(0, 1, .1),
(-20, 3, 3),]:
qn = qnormal_gen(mu, sigma, q)
#tdb.check_ppf_ppf(qn, ())
#tdb.check_cdf_ppf(qn, (), '')
try:
check_d_samples(qn, n=10000)
except:
print mu, sigma, q
raise
def test_numeric(self):
qn = qnormal_gen(0, 1, 1)
assert qn.pmf(500) > -np.inf
def test_offgrid_int(self):
qn = qnormal_gen(0, 1, 2)
assert qn.pmf(0) > 0.0
assert qn.pmf(1) == 0.0
assert qn.pmf(2) > 0.0
def test_bigq(self):
mu, sigma, q = (-20, 4, 3)
qn = qnormal_gen(mu, sigma, q)
check_d_samples(qn, n=10000)
def test_smallq(self):
mu, sigma, q = (0, 1, .1)
qn = qnormal_gen(mu, sigma, q)
check_d_samples(qn, n=10000)
def test_output_type_float(self):
assert float == type(qnormal_gen(0, 10, 1.0).rvs())
def test_output_type_int(self):
result = qnormal_gen(0, 10, 1).rvs()
assert int == type(result)