def test_on_real_input(self):
x = dvector()
rng = np.random.default_rng(23)
xval = rng.standard_normal((10))
np.all(0 == aesara.function([x], imag(x))(xval))
np.all(xval == aesara.function([x], real(x))(xval))
x = imatrix()
xval = np.asarray(rng.standard_normal((3, 3)) * 100, dtype="int32")
np.all(0 == aesara.function([x], imag(x))(xval))
np.all(xval == aesara.function([x], real(x))(xval))
def test_on_real_input(self):
x = dvector()
rng = np.random.RandomState(23)
xval = rng.randn(10)
np.all(0 == aesara.function([x], imag(x))(xval))
np.all(xval == aesara.function([x], real(x))(xval))
x = imatrix()
xval = np.asarray(rng.randn(3, 3) * 100, dtype="int32")
np.all(0 == aesara.function([x], imag(x))(xval))
np.all(xval == aesara.function([x], real(x))(xval))
def test_basic(self):
x = zvector()
rng = np.random.RandomState(23)
xval = np.asarray(
list(np.complex(rng.randn(), rng.randn()) for i in range(10)))
assert np.all(xval.real == aesara.function([x], real(x))(xval))
assert np.all(xval.imag == aesara.function([x], imag(x))(xval))
def test_basic(self):
x = zvector()
rng = np.random.default_rng(23)
xval = np.asarray(
list(
complex(rng.standard_normal(), rng.standard_normal())
for i in range(10)))
assert np.all(xval.real == aesara.function([x], real(x))(xval))
assert np.all(xval.imag == aesara.function([x], imag(x))(xval))
def test_complex(self):
rng = np.random.default_rng(2333)
m = fmatrix()
c = at_complex(m[0], m[1])
assert c.type == cvector
r, i = [real(c), imag(c)]
assert r.type == fvector
assert i.type == fvector
f = aesara.function([m], [r, i])
mval = np.asarray(rng.standard_normal((2, 5)), dtype="float32")
rval, ival = f(mval)
assert np.all(rval == mval[0]), (rval, mval[0])
assert np.all(ival == mval[1]), (ival, mval[1])
def f(m):
c = at_complex(m[0], m[1])
return 0.5 * real(c) + 0.9 * imag(c)
def f(m):
c = complex_from_polar(abs(m[0]), m[1])
return 0.5 * real(c) + 0.9 * imag(c)
