def test_gamma_process_init(mean_fixture, variance_fixture, rate_fixture, scale_fixture, t):
first_params = bool(mean_fixture) + bool(variance_fixture)
second_params = bool(rate_fixture) + bool(scale_fixture)
all_params = first_params + second_params
if all_params != 2 or (first_params != 2 and second_params != 2):
with pytest.raises((TypeError, ValueError)):
_ = GammaProcess(mean_fixture, variance_fixture, rate_fixture, scale_fixture, t)
else:
instance = GammaProcess(mean_fixture, variance_fixture, rate_fixture, scale_fixture, t)
assert isinstance(repr(instance), str)
assert isinstance(str(instance), str)
def test_gamma_process_sample(mean, variance, t, n, threshold):
instance = GammaProcess(mean, variance, t=t)
s = instance.sample(n)
assert len(s) == n + 1
def test_gamma_process_sample_at(mean, variance, t, times, threshold):
instance = GammaProcess(mean, variance, t=t)
s = instance.sample_at(times)
assert len(s) == len(times)
def test_gamma_process_str_repr(mean, variance, t):
instance = GammaProcess(mean, variance, t=t)
assert isinstance(repr(instance), str)
assert isinstance(str(instance), str)