def test_binomial_mean(n, p):
samples = binomial(random.PRNGKey(1), p, n, shape=(100, 100))
expected_mean = n * p
assert_allclose(jnp.mean(samples), expected_mean, rtol=0.05)
def sample(self, key, size=()):
return binomial(key,
self.probs,
n=self.total_count,
shape=size + self.batch_shape)
def sample(self, key, sample_shape=()):
assert is_prng_key(key)
return binomial(key,
self.probs,
n=self.total_count,
shape=sample_shape + self.batch_shape)
