def generate_scopes_from_inputs(node, inputs, num_or_size_sums, ivs=False):
# Create a flat list of scopes, where the scope elements of a single input
# node are subsequent in the list
flat_scopes = []
size = 0
for inp in inputs:
if isinstance(inp, tuple) and inp[1]:
input_indices = [inp[1]] if isinstance(inp[1], int) else inp[1]
for i in input_indices:
flat_scopes.append(scopes_per_node[inp[0]][i])
size += len(input_indices)
elif not isinstance(inp, tuple):
flat_scopes.extend(scopes_per_node[inp])
size += len(scopes_per_node[inp])
else:
flat_scopes.extend(scopes_per_node[inp[0]])
size += len(scopes_per_node[inp[0]])
if isinstance(num_or_size_sums, int):
num_or_size_sums = num_or_size_sums * [size // num_or_size_sums]
new_scope = []
offset = 0
# For each sum generate the scope based on its size
for i, s in enumerate(num_or_size_sums):
scope = flat_scopes[offset]
for j in range(1, s):
scope |= flat_scopes[j + offset]
offset += s
if ivs:
scope |= spn.Scope(node.ivs.node, i)
new_scope.append(scope)
scopes_per_node[node] = new_scope
def test_get_scope(self):
"""Computing the scope of nodes of the SPN graph"""
# Create graph
v12 = spn.IVs(num_vars=2, num_vals=4, name="V12")
v34 = spn.ContVars(num_vars=2, name="V34")
s1 = spn.Sum((v12, [0, 1, 2, 3]), name="S1")
s2 = spn.Sum((v12, [4, 5, 6, 7]), name="S2")
p1 = spn.Product((v12, [0, 7]), name="P1")
p2 = spn.Product((v12, [3, 4]), name="P2")
p3 = spn.Product(v34, name="P3")
n1 = spn.Concat(s1, s2, p3, name="N1")
n2 = spn.Concat(p1, p2, name="N2")
p4 = spn.Product((n1, [0]), (n1, [1]), name="P4")
p5 = spn.Product((n2, [0]), (n1, [2]), name="P5")
s3 = spn.Sum(p4, n2, name="S3")
p6 = spn.Product(s3, (n1, [2]), name="P6")
s4 = spn.Sum(p5, p6, name="S4")
# Test
self.assertListEqual(v12.get_scope(),
[spn.Scope(v12, 0), spn.Scope(v12, 0),
spn.Scope(v12, 0), spn.Scope(v12, 0),
spn.Scope(v12, 1), spn.Scope(v12, 1),
spn.Scope(v12, 1), spn.Scope(v12, 1)])
self.assertListEqual(v34.get_scope(),
[spn.Scope(v34, 0), spn.Scope(v34, 1)])
self.assertListEqual(s1.get_scope(),
[spn.Scope(v12, 0)])
self.assertListEqual(s2.get_scope(),
[spn.Scope(v12, 1)])
self.assertListEqual(p1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p2.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p3.get_scope(),
[spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(n1.get_scope(),
[spn.Scope(v12, 0),
spn.Scope(v12, 1),
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(n2.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p4.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p5.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(s3.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p6.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(s4.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
def test_scope(self):
"""Scope creation and operations"""
# Creation
s1 = spn.Scope("a", 1)
self.assertListEqual([i for i in s1],
[("a", 1)])
s2 = spn.Scope("b", 1)
s3 = spn.Scope("b", 2)
# Merging
s = spn.Scope.merge_scopes([s1, s2, s3])
self.assertListEqual(sorted([i for i in s]),
[("a", 1), ("b", 1), ("b", 2)])
# Set operations
s = s1 | s2 | s3
self.assertListEqual(sorted([i for i in s]),
[("a", 1), ("b", 1), ("b", 2)])
s = s1.union(s2).union(s3)
self.assertListEqual(sorted([i for i in s]),
[("a", 1), ("b", 1), ("b", 2)])
s = (s1 | s2 | s3) & spn.Scope("b", 1)
self.assertListEqual(sorted([i for i in s]),
[("b", 1)])
s = (s1 | s2 | s3).intersection(spn.Scope("b", 1))
self.assertListEqual(sorted([i for i in s]),
[("b", 1)])
s = (s1 | s2 | s3) - spn.Scope("b", 1)
self.assertListEqual(sorted([i for i in s]),
[("a", 1), ("b", 2)])
s = (s1 | s2 | s3).difference(spn.Scope("b", 1))
self.assertListEqual(sorted([i for i in s]),
[("a", 1), ("b", 2)])
s = (s1 | s2) ^ (spn.Scope("b", 1) | spn.Scope("c", 1))
self.assertListEqual(sorted([i for i in s]),
[("a", 1), ("c", 1)])
s = (s1 | s2).symmetric_difference(
(spn.Scope("b", 1) | spn.Scope("c", 1)))
self.assertListEqual(sorted([i for i in s]),
[("a", 1), ("c", 1)])
# Hash
self.assertIsNotNone(hash(s))
# Used in dicts
d = {s1: 10, s: 12}
self.assertEqual(d[spn.Scope("a", 1)], 10)
self.assertEqual(d[spn.Scope("a", 1) | spn.Scope("c", 1)], 12)
# Subsets
self.assertTrue(s.issuperset(spn.Scope("c", 1)))
self.assertTrue(spn.Scope("c", 1).issubset(s))
self.assertFalse(s.issuperset(spn.Scope("d", 1)))
self.assertFalse(spn.Scope("d", 1).issubset(s))
self.assertTrue(s.isdisjoint(spn.Scope("d", 1)))
self.assertFalse(s.isdisjoint(spn.Scope("a", 1)))
# Test for empty scope
self.assertFalse(spn.Scope("a", 1) & spn.Scope("b", 1))
self.assertTrue(spn.Scope("a", 1) | spn.Scope("b", 1))
self.assertEqual(len(spn.Scope("a", 1) & spn.Scope("b", 1)), 0)
self.assertEqual(len(spn.Scope("a", 1) | spn.Scope("b", 1)), 2)
def test_comput_scope(self):
"""Calculating scope of Product"""
# Create a graph
v12 = spn.IndicatorLeaf(num_vars=2, num_vals=4, name="V12")
v34 = spn.RawLeaf(num_vars=2, name="V34")
s1 = spn.Sum((v12, [0, 1, 2, 3]), name="S1")
s1.generate_latent_indicators()
s2 = spn.Sum((v12, [4, 5, 6, 7]), name="S2")
p1 = spn.Product((v12, [0, 7]), name="P1")
p2 = spn.Product((v12, [3, 4]), name="P1")
p3 = spn.Product(v34, name="P3")
n1 = spn.Concat(s1, s2, p3, name="N1")
n2 = spn.Concat(p1, p2, name="N2")
p4 = spn.Product((n1, [0]), (n1, [1]), name="P4")
p5 = spn.Product((n2, [0]), (n1, [2]), name="P5")
s3 = spn.Sum(p4, n2, name="S3")
p6 = spn.Product(s3, (n1, [2]), name="P6")
s4 = spn.Sum(p5, p6, name="S4")
s4.generate_latent_indicators()
# Test
self.assertListEqual(v12.get_scope(),
[spn.Scope(v12, 0), spn.Scope(v12, 0),
spn.Scope(v12, 0), spn.Scope(v12, 0),
spn.Scope(v12, 1), spn.Scope(v12, 1),
spn.Scope(v12, 1), spn.Scope(v12, 1)])
self.assertListEqual(v34.get_scope(),
[spn.Scope(v34, 0), spn.Scope(v34, 1)])
self.assertListEqual(s1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(s1.latent_indicators.node, 0)])
self.assertListEqual(s2.get_scope(),
[spn.Scope(v12, 1)])
self.assertListEqual(p1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p2.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p3.get_scope(),
[spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(n1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 1),
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(n2.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p4.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(s1.latent_indicators.node, 0)])
self.assertListEqual(p5.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(s3.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(s1.latent_indicators.node, 0)])
self.assertListEqual(p6.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1) |
spn.Scope(s1.latent_indicators.node, 0)])
self.assertListEqual(s4.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1) |
spn.Scope(s1.latent_indicators.node, 0) |
spn.Scope(s4.latent_indicators.node, 0)])
def test_compute_scope(self):
"""Calculating scope of Sums"""
# Create a graph
v12 = spn.IndicatorLeaf(num_vars=2, num_vals=4, name="V12")
v34 = spn.RawLeaf(num_vars=3, name="V34")
scopes_per_node = {
v12: [
spn.Scope(v12, 0),
spn.Scope(v12, 0),
spn.Scope(v12, 0),
spn.Scope(v12, 0),
spn.Scope(v12, 1),
spn.Scope(v12, 1),
spn.Scope(v12, 1),
spn.Scope(v12, 1)
],
v34: [spn.Scope(v34, 0),
spn.Scope(v34, 1),
spn.Scope(v34, 2)]
}
def generate_scopes_from_inputs(node,
inputs,
num_or_size_sums,
latent_indicators=False):
# Create a flat list of scopes, where the scope elements of a single input
# node are subsequent in the list
flat_scopes = []
size = 0
for inp in inputs:
if isinstance(inp, tuple) and inp[1]:
input_indices = [inp[1]] if isinstance(inp[1],
int) else inp[1]
for i in input_indices:
flat_scopes.append(scopes_per_node[inp[0]][i])
size += len(input_indices)
elif not isinstance(inp, tuple):
flat_scopes.extend(scopes_per_node[inp])
size += len(scopes_per_node[inp])
else:
flat_scopes.extend(scopes_per_node[inp[0]])
size += len(scopes_per_node[inp[0]])
if isinstance(num_or_size_sums, int):
num_or_size_sums = num_or_size_sums * [
size // num_or_size_sums
]
new_scope = []
offset = 0
# For each sum generate the scope based on its size
for i, s in enumerate(num_or_size_sums):
scope = flat_scopes[offset]
for j in range(1, s):
scope |= flat_scopes[j + offset]
offset += s
if latent_indicators:
scope |= spn.Scope(node.latent_indicators.node, i)
new_scope.append(scope)
scopes_per_node[node] = new_scope
def sums_layer_and_test(inputs,
num_or_size_sums,
name,
latent_indicators=False):
""" Create a sums layer, generate its correct scope and test """
sums_layer = spn.SumsLayer(*inputs,
num_or_size_sums=num_or_size_sums,
name=name)
if latent_indicators:
sums_layer.generate_latent_indicators()
generate_scopes_from_inputs(sums_layer,
inputs,
num_or_size_sums,
latent_indicators=latent_indicators)
self.assertListEqual(sums_layer.get_scope(),
scopes_per_node[sums_layer])
return sums_layer
def concat_layer_and_test(inputs, name):
""" Create a concat node, generate its scopes and assert whether it is correct """
scope = []
for inp in inputs:
if isinstance(inp, tuple):
indices = inp[1]
if isinstance(inp[1], int):
indices = [inp[1]]
for i in indices:
scope.append(scopes_per_node[inp[0]][i])
else:
scope.extend(scopes_per_node[inp])
concat = spn.Concat(*inputs, name=name)
self.assertListEqual(concat.get_scope(), scope)
scopes_per_node[concat] = scope
return concat
ss1 = sums_layer_and_test([(v12, [0, 1, 2, 3]), (v12, [1, 2, 5, 6]),
(v12, [4, 5, 6, 7])],
3,
"Ss1",
latent_indicators=True)
ss2 = sums_layer_and_test([(v12, [6, 7]), (v34, 0)],
num_or_size_sums=[1, 2],
name="Ss2")
ss3 = sums_layer_and_test([(v12, [3, 7]), (v34, 1),
(v12, [4, 5, 6]), v34],
num_or_size_sums=[1, 2, 2, 2, 2],
name="Ss3")
s1 = sums_layer_and_test([(v34, [1, 2])],
num_or_size_sums=1,
name="S1",
latent_indicators=True)
concat_layer_and_test([(ss1, [0, 2]), (ss2, 0)], name="N1")
concat_layer_and_test([(ss1, 1), ss3, s1], name="N2")
n = concat_layer_and_test([(ss1, 0), ss2, (ss3, [0, 1]), s1],
name="N3")
sums_layer_and_test([(ss1, [1, 2]), ss2],
num_or_size_sums=[2, 1, 1],
name="Ss4")
sums_layer_and_test([(ss1, [0, 2]), (n, [0, 1]), (ss3, [4, 2])],
num_or_size_sums=[3, 2, 1],
name="Ss5")
def test_comput_scope(self):
"""Calculating scope of PermuteProducts"""
# Create graph
v12 = spn.IndicatorLeaf(num_vars=2, num_vals=4, name="V12")
v34 = spn.RawLeaf(num_vars=2, name="V34")
s1 = spn.Sum((v12, [0, 1, 2, 3]), name="S1")
s1.generate_latent_indicators()
s2 = spn.Sum((v12, [4, 5, 6, 7]), name="S2")
p1 = spn.Product((v12, [0, 7]), name="P1")
p2 = spn.Product((v12, [3, 4]), name="P2")
p3 = spn.Product(v34, name="P3")
n1 = spn.Concat(s1, s2, p3, name="N1")
n2 = spn.Concat(p1, p2, name="N2")
pp1 = spn.PermuteProducts(n1, n2, name="PP1") # num_prods = 6
pp2 = spn.PermuteProducts((n1, [0, 1]), (n2, [0]), name="PP2") # num_prods = 2
pp3 = spn.PermuteProducts(n2, p3, name="PP3") # num_prods = 2
pp4 = spn.PermuteProducts(p2, p3, name="PP4") # num_prods = 1
pp5 = spn.PermuteProducts((n2, [0, 1]), name="PP5") # num_prods = 1
pp6 = spn.PermuteProducts(p3, name="PP6") # num_prods = 1
n3 = spn.Concat((pp1, [0, 2, 3]), pp2, pp4, name="N3")
s3 = spn.Sum((pp1, [0, 2, 4]), (pp1, [1, 3, 5]), pp2, pp3, (pp4, 0),
pp5, pp6, name="S3")
s3.generate_latent_indicators()
n4 = spn.Concat((pp3, [0, 1]), pp5, (pp6, 0), name="N4")
pp7 = spn.PermuteProducts(n3, s3, n4, name="PP7") # num_prods = 24
pp8 = spn.PermuteProducts(n3, name="PP8") # num_prods = 1
pp9 = spn.PermuteProducts((n4, [0, 1, 2, 3]), name="PP9") # num_prods = 1
# Test
self.assertListEqual(v12.get_scope(),
[spn.Scope(v12, 0), spn.Scope(v12, 0),
spn.Scope(v12, 0), spn.Scope(v12, 0),
spn.Scope(v12, 1), spn.Scope(v12, 1),
spn.Scope(v12, 1), spn.Scope(v12, 1)])
self.assertListEqual(v34.get_scope(),
[spn.Scope(v34, 0), spn.Scope(v34, 1)])
self.assertListEqual(s1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(s1.latent_indicators.node, 0)])
self.assertListEqual(s2.get_scope(),
[spn.Scope(v12, 1)])
self.assertListEqual(p1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p2.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(p3.get_scope(),
[spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(n1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 1),
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(n2.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(pp1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(pp2.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(pp3.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(pp4.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(pp5.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1)])
self.assertListEqual(pp6.get_scope(),
[spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(n3.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(s3.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1) |
spn.Scope(s1.latent_indicators.node, 0) |
spn.Scope(s3.latent_indicators.node, 0)])
self.assertListEqual(n4.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1),
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
self.assertListEqual(pp7.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1) |
spn.Scope(s1.latent_indicators.node, 0) |
spn.Scope(s3.latent_indicators.node, 0)] * 24)
self.assertListEqual(pp8.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(s1.latent_indicators.node, 0) | spn.Scope(v34, 0) |
spn.Scope(v34, 1)])
self.assertListEqual(pp9.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(v12, 1) |
spn.Scope(v34, 0) | spn.Scope(v34, 1)])
def test_comput_scope(self):
"""Calculating scope of ProductsLayer"""
# Create graph
v12 = spn.IndicatorLeaf(num_vars=2, num_vals=4, name="V12")
v34 = spn.RawLeaf(num_vars=2, name="V34")
s1 = spn.Sum((v12, [0, 1, 2, 3]), name="S1")
s1.generate_latent_indicators()
s2 = spn.Sum((v12, [4, 5, 6, 7]), name="S2")
pl1 = spn.ProductsLayer((v12, [0, 5, 6, 7]), (v12, [3, 4]),
v34,
num_or_size_prods=[4, 3, 1],
name="PL1")
n1 = spn.Concat(s1, s2, (pl1, [2]), name="N1")
n2 = spn.Concat((pl1, [0]), (pl1, [1]), name="N2")
s3 = spn.Sum(pl1, name="S3")
s3.generate_latent_indicators()
pl2 = spn.ProductsLayer((n1, [0, 1]), (n1, 2), (n2, 0), (pl1, [1]),
n2,
s3, (n2, 1),
s3,
pl1,
num_or_size_prods=[2, 3, 3, 5],
name="PL2")
s4 = spn.Sum((pl2, 0), n2, name="S4")
s5 = spn.Sum(pl2, name="S5")
s6 = spn.Sum((pl2, [1, 3]), name="S6")
s6.generate_latent_indicators()
pl3 = spn.ProductsLayer(s4, (n1, 2), num_or_size_prods=1, name="PL3")
pl4 = spn.ProductsLayer(s4,
s5,
s6,
s4,
s5,
s6,
num_or_size_prods=2,
name="PL4")
# Test
self.assertListEqual(v12.get_scope(), [
spn.Scope(v12, 0),
spn.Scope(v12, 0),
spn.Scope(v12, 0),
spn.Scope(v12, 0),
spn.Scope(v12, 1),
spn.Scope(v12, 1),
spn.Scope(v12, 1),
spn.Scope(v12, 1)
])
self.assertListEqual(
v34.get_scope(),
[spn.Scope(v34, 0), spn.Scope(v34, 1)])
self.assertListEqual(
s1.get_scope(),
[spn.Scope(v12, 0) | spn.Scope(s1.latent_indicators.node, 0)])
self.assertListEqual(s2.get_scope(), [spn.Scope(v12, 1)])
self.assertListEqual(pl1.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v12, 1)
| spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0),
spn.Scope(v34, 1)
])
self.assertListEqual(n1.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 1),
spn.Scope(v34, 1)
])
self.assertListEqual(n2.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v12, 1)
| spn.Scope(v12, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0)
])
self.assertListEqual(s3.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0)
| spn.Scope(v34, 1) | spn.Scope(s3.latent_indicators.node, 0)
])
self.assertListEqual(pl2.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1)
| spn.Scope(s1.latent_indicators.node, 0),
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0)
| spn.Scope(v34, 1),
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0)
| spn.Scope(v34, 1) | spn.Scope(s3.latent_indicators.node, 0),
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0)
| spn.Scope(v34, 1) | spn.Scope(s3.latent_indicators.node, 0)
])
self.assertListEqual(s4.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1)
| spn.Scope(s1.latent_indicators.node, 0) | spn.Scope(v34, 0)
])
self.assertListEqual(s5.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1)
| spn.Scope(s1.latent_indicators.node, 0) | spn.Scope(v34, 0)
| spn.Scope(v34, 1) | spn.Scope(s3.latent_indicators.node, 0)
])
self.assertListEqual(s6.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0)
| spn.Scope(v34, 1) | spn.Scope(s3.latent_indicators.node, 0)
| spn.Scope(s6.latent_indicators.node, 0)
])
self.assertListEqual(pl3.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1)
| spn.Scope(s1.latent_indicators.node, 0) | spn.Scope(v34, 0)
| spn.Scope(v34, 1)
])
self.assertListEqual(pl4.get_scope(), [
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0)
| spn.Scope(v34, 1) | spn.Scope(s1.latent_indicators.node, 0)
| spn.Scope(s3.latent_indicators.node, 0)
| spn.Scope(s6.latent_indicators.node, 0),
spn.Scope(v12, 0) | spn.Scope(v12, 1) | spn.Scope(v34, 0)
| spn.Scope(v34, 1) | spn.Scope(s1.latent_indicators.node, 0)
| spn.Scope(s3.latent_indicators.node, 0)
| spn.Scope(s6.latent_indicators.node, 0)
])
