def test_readonly(rng):
v1 = Vocabulary(32, pointer_gen=rng)
v1.populate('A;B;C')
v1.readonly = True
with pytest.raises(ValueError):
v1.parse('D')
def test_populate(rng):
v = Vocabulary(64, pointer_gen=rng)
v.populate('')
v.populate(' \r\n\t')
assert len(v) == 0
v.populate('A')
assert 'A' in v
v.populate('B; C')
assert 'B' in v
assert 'C' in v
v.populate('D.unitary()')
assert 'D' in v
np.testing.assert_almost_equal(np.linalg.norm(v['D'].v), 1.)
np.testing.assert_almost_equal(np.linalg.norm((v['D'] * v['D']).v), 1.)
v.populate('E = A + 2 * B')
assert np.allclose(v['E'].v, v.parse('A + 2 * B').v)
assert np.linalg.norm(v['E'].v) > 2.
v.populate('F = (A + 2 * B).normalized()')
assert np.allclose(v['F'].v, v.parse('A + 2 * B').normalized().v)
np.testing.assert_almost_equal(np.linalg.norm(v['F'].v), 1.)
v.populate('G = A; H')
assert np.allclose(v['G'].v, v['A'].v)
assert 'H' in v
# Assigning non-existing pointer
with pytest.raises(NameError):
v.populate('I = J')
# Redefining
with pytest.raises(ValidationError):
v.populate('H = A')
# Calling non existing function
with pytest.raises(AttributeError):
v.populate('I = H.invalid()')
# invalid names: lowercase, unicode
with pytest.raises(SpaParseError):
v.populate('x = A')
with pytest.raises(SpaParseError):
v.populate(u'Aα = A')
def test_populate(rng):
v = Vocabulary(64, pointer_gen=rng)
v.populate("")
v.populate(" \r\n\t")
assert len(v) == 0
v.populate("A")
assert "A" in v
v.populate("B; C")
assert "B" in v
assert "C" in v
v.populate("D.unitary()")
assert "D" in v
np.testing.assert_almost_equal(np.linalg.norm(v["D"].v), 1.0)
np.testing.assert_almost_equal(np.linalg.norm((v["D"] * v["D"]).v), 1.0)
v.populate("E = A + 2 * B")
assert np.allclose(v["E"].v, v.parse("A + 2 * B").v)
assert np.linalg.norm(v["E"].v) > 2.0
v.populate("F = (A + 2 * B).normalized()")
assert np.allclose(v["F"].v, v.parse("A + 2 * B").normalized().v)
np.testing.assert_almost_equal(np.linalg.norm(v["F"].v), 1.0)
v.populate("G = A; H")
assert np.allclose(v["G"].v, v["A"].v)
assert "H" in v
# Assigning non-existing pointer
with pytest.raises(NameError):
v.populate("I = J")
# Redefining
with pytest.raises(ValidationError):
v.populate("H = A")
# Calling non existing function
with pytest.raises(AttributeError):
v.populate("I = H.invalid()")
# invalid names: lowercase, unicode
with pytest.raises(SpaParseError):
v.populate("x = A")
with pytest.raises(SpaParseError):
v.populate(u"Aα = A")
def test_parse_n(rng):
v = Vocabulary(64, pointer_gen=rng)
v.populate('A; B; C')
A = v.parse('A')
B = v.parse('B')
parsed = v.parse_n('A', 'A*B', 'A+B', '3')
assert np.allclose(parsed[0].v, A.v)
assert np.allclose(parsed[1].v, (A * B).v)
assert np.allclose(parsed[2].v, (A + B).v)
# FIXME should give an exception?
assert np.allclose(parsed[3].v, 3 * v['Identity'].v)
def test_parse_n(rng):
v = Vocabulary(64, pointer_gen=rng)
v.populate("A; B; C")
A = v.parse("A")
B = v.parse("B")
parsed = v.parse_n("A", "A*B", "A+B", "3")
assert np.allclose(parsed[0].v, A.v)
assert np.allclose(parsed[1].v, (A * B).v)
assert np.allclose(parsed[2].v, (A + B).v)
# FIXME should give an exception?
assert np.allclose(parsed[3].v, 3 * v["Identity"].v)
def test_transform(recwarn, rng, solver):
v1 = Vocabulary(32, strict=False, pointer_gen=rng)
v2 = Vocabulary(64, strict=False, pointer_gen=rng)
v1.populate('A; B; C')
v2.populate('A; B; C')
A = v1['A']
B = v1['B']
C = v1['C']
# Test transform from v1 to v2 (full vocbulary)
# Expected: np.dot(t, A.v) ~= v2.parse('A')
# Expected: np.dot(t, B.v) ~= v2.parse('B')
# Expected: np.dot(t, C.v) ~= v2.parse('C')
t = v1.transform_to(v2, solver=solver)
assert v2.parse('A').compare(np.dot(t, A.v)) > 0.85
assert v2.parse('C+B').compare(np.dot(t, C.v + B.v)) > 0.85
# Test transform from v1 to v2 (only 'A' and 'B')
t = v1.transform_to(v2, keys=['A', 'B'], solver=solver)
assert v2.parse('A').compare(np.dot(t, A.v)) > 0.85
assert v2.parse('B').compare(np.dot(t, C.v + B.v)) > 0.85
# Test warns on missing keys
v1.populate('D')
D = v1['D']
with pytest.warns(NengoWarning):
v1.transform_to(v2, solver=solver)
# Test populating missing keys
t = v1.transform_to(v2, populate=True, solver=solver)
assert v2.parse('D').compare(np.dot(t, D.v)) > 0.85
# Test ignores missing keys in source vocab
v2.populate('E')
v1.transform_to(v2, populate=True, solver=solver)
assert 'E' not in v1
def test_am_spa_keys_as_expressions(Simulator, plt, seed, rng):
"""Provide semantic pointer expressions as input and output keys."""
d = 64
vocab_in = Vocabulary(d, pointer_gen=rng)
vocab_out = Vocabulary(d, pointer_gen=rng)
vocab_in.populate("A; B")
vocab_out.populate("C; D")
in_keys = ["A", "A*B"]
out_keys = ["C*D", "C+D"]
mapping = dict(zip(in_keys, out_keys))
with spa.Network(seed=seed) as m:
m.am = ThresholdingAssocMem(threshold=0.3,
input_vocab=vocab_in,
output_vocab=vocab_out,
mapping=mapping)
m.inp = spa.Transcode(lambda t: "A" if t < 0.1 else "A*B",
output_vocab=vocab_in)
m.inp >> m.am
in_p = nengo.Probe(m.am.input)
out_p = nengo.Probe(m.am.output, synapse=0.03)
with nengo.Simulator(m) as sim:
sim.run(0.2)
# Specify t ranges
t = sim.trange()
t_item1 = (t > 0.075) & (t < 0.1)
t_item2 = (t > 0.175) & (t < 0.2)
# Modify vocabularies (for plotting purposes)
vocab_in.add("AxB", vocab_in.parse(in_keys[1]).v)
vocab_out.add("CxD", vocab_out.parse(out_keys[0]).v)
plt.subplot(2, 1, 1)
plt.plot(t, similarity(sim.data[in_p], vocab_in))
plt.ylabel("Input: " + ", ".join(in_keys))
plt.legend(vocab_in.keys(), loc="best")
plt.ylim(top=1.1)
plt.subplot(2, 1, 2)
for t_item, c, k in zip([t_item1, t_item2], ["b", "g"], out_keys):
plt.plot(
t,
similarity(sim.data[out_p], [vocab_out.parse(k).v],
normalize=True),
label=k,
c=c,
)
plt.plot(t[t_item], np.ones(t.shape)[t_item] * 0.9, c=c, lw=2)
plt.ylabel("Output: " + ", ".join(out_keys))
plt.legend(loc="best")
assert (np.mean(
similarity(sim.data[out_p][t_item1],
vocab_out.parse(out_keys[0]).v,
normalize=True)) > 0.9)
assert (np.mean(
similarity(sim.data[out_p][t_item2],
vocab_out.parse(out_keys[1]).v,
normalize=True)) > 0.9)
def test_special_sps(name, sp):
v = Vocabulary(16)
assert name in v
assert np.allclose(v[name].v, sp(16).v)
assert np.allclose(v.parse(name).v, sp(16).v)
def test_pointer_names():
v = Vocabulary(16)
v.populate('A; B')
assert v['A'].name == 'A'
assert v.parse('A*B').name == '(A)*(B)'
def test_vocabulary_tracking(rng):
v = Vocabulary(32, pointer_gen=rng)
v.populate('A')
assert v['A'].vocab is v
assert v.parse('2 * A').vocab is v
def test_capital(rng):
v = Vocabulary(16, pointer_gen=rng)
with pytest.raises(SpaParseError):
v.parse('a')
with pytest.raises(SpaParseError):
v.parse('A+B+C+a')
def test_parse(rng):
v = Vocabulary(64, pointer_gen=rng)
v.populate('A; B; C')
A = v.parse('A')
B = v.parse('B')
C = v.parse('C')
assert np.allclose((A * B).v, v.parse('A * B').v)
assert np.allclose((A * ~B).v, v.parse('A * ~B').v)
assert np.allclose((A + B).v, v.parse('A + B').v)
assert np.allclose((A - (B * C) * 3 + ~C).v, v.parse('A-(B*C)*3+~C').v)
assert np.allclose(v.parse('0').v, np.zeros(64))
assert np.allclose(v.parse('1').v, np.eye(64)[0])
assert np.allclose(v.parse('1.7').v, np.eye(64)[0] * 1.7)
with pytest.raises(SyntaxError):
v.parse('A((')
with pytest.raises(SpaParseError):
v.parse('"hello"')
with pytest.raises(SpaParseError):
v.parse('"hello"')
def test_pointer_names():
v = Vocabulary(16)
v.populate("A; B")
assert v["A"].name == "A"
assert v.parse("A*B").name == "(A)*(B)"
def test_vocabulary_tracking(rng):
v = Vocabulary(32, pointer_gen=rng)
v.populate("A")
assert v["A"].vocab is v
assert v.parse("2 * A").vocab is v
def test_parse(rng):
v = Vocabulary(64, pointer_gen=rng)
v.populate("A; B; C")
A = v.parse("A")
B = v.parse("B")
C = v.parse("C")
assert np.allclose((A * B).v, v.parse("A * B").v)
assert np.allclose((A * ~B).v, v.parse("A * ~B").v)
assert np.allclose((A + B).v, v.parse("A + B").v)
assert np.allclose((A - (B * C) * 3 + ~C).v, v.parse("A-(B*C)*3+~C").v)
assert np.allclose(v.parse("0").v, np.zeros(64))
assert np.allclose(v.parse("1").v, np.eye(64)[0])
assert np.allclose(v.parse("1.7").v, np.eye(64)[0] * 1.7)
with pytest.raises(SyntaxError):
v.parse("A((")
with pytest.raises(SpaParseError):
v.parse('"hello"')
with pytest.raises(SpaParseError):
v.parse('"hello"')