def test_convolution(rng):
a = SemanticPointer(64, rng=rng)
b = SemanticPointer(64, rng=rng)
identity = SemanticPointer(np.eye(64)[0])
c = a.copy()
c *= b
ans = np.fft.ifft(np.fft.fft(a.v) * np.fft.fft(b.v)).real
assert np.allclose((a * b).v, ans)
assert np.allclose(a.convolve(b).v, ans)
assert np.allclose(c.v, ans)
assert np.allclose((a * identity).v, a.v)
assert (a * b * ~b).compare(a) > 0.65
def test_convolution(rng):
a = SemanticPointer(64, rng=rng)
b = SemanticPointer(64, rng=rng)
identity = SemanticPointer(np.eye(64)[0])
c = a.copy()
c *= b
ans = np.fft.ifft(np.fft.fft(a.v) * np.fft.fft(b.v)).real
assert np.allclose((a * b).v, ans)
assert np.allclose(a.convolve(b).v, ans)
assert np.allclose(c.v, ans)
assert np.allclose((a * identity).v, a.v)
assert (a * b * ~b).compare(a) > 0.65
def test_convolution():
rng = np.random.RandomState(3)
a = SemanticPointer(50, rng=rng)
b = SemanticPointer(50, rng=rng)
identity = SemanticPointer(np.eye(50)[0])
c = a.copy()
c *= b
ans = np.fft.ifft(np.fft.fft(a.v) * np.fft.fft(b.v)).real
assert np.allclose((a * b).v, ans)
assert np.allclose(a.convolve(b).v, ans)
assert np.allclose(c.v, ans)
assert np.allclose((a * identity).v, a.v)
assert (a * b * ~b).compare(a) > 0.7
def test_convolution():
rng = np.random.RandomState(3)
a = SemanticPointer(50, rng=rng)
b = SemanticPointer(50, rng=rng)
identity = SemanticPointer(np.eye(50)[0])
c = a.copy()
c *= b
ans = np.fft.ifft(np.fft.fft(a.v) * np.fft.fft(b.v)).real
assert np.allclose((a * b).v, ans)
assert np.allclose(a.convolve(b).v, ans)
assert np.allclose(c.v, ans)
assert np.allclose((a * identity).v, a.v)
assert (a * b * ~b).compare(a) > 0.7
