def test_logl():
# {D,S,W}NNLOGL : 3
observation_count = 5
dnn = _process_request(dict(property='dnnlogl'))
snn = _process_request(dict(property='snnlogl'))
wnn = _process_request(dict(property='wnnlogl',
observation_reduction = dict(
observation_indices=_sites,
weights=_site_weights,
),
))
_assert_list_shape(dnn, (observation_count, ))
assert_allclose(np.sum(dnn, axis=0), snn)
assert_allclose(sparse_reduction(dnn, _sites, _site_weights, 0), wnn)
def test_deri():
# {D,S,W}DNDERI : 3
observation_count = 5
edge_count = 4
ddn = _process_request(dict(property='ddnderi'))
sdn = _process_request(dict(property='sdnderi'))
wdn = _process_request(dict(property='wdnderi',
observation_reduction = dict(
observation_indices=_sites,
weights=_site_weights),
))
_assert_list_shape(ddn, (observation_count, edge_count))
_assert_list_shape(sdn, (edge_count, ))
_assert_list_shape(wdn, (edge_count, ))
assert_allclose(np.sum(ddn, axis=0), sdn)
assert_allclose(sparse_reduction(ddn, _sites, _site_weights, 0), wdn)
