def test_J_array(xs):
def prod(xs):
p = array_reduce(lambda x, y: x * y, xs, ())
return array_to_scalar(p)
jy, bprop = J(prod)(J(xs))
return Jinv(jy), bprop(1.0)
def f(x, y):
a = x * x
def mula(z):
return a * z
res, bprop = J(mula)(J(y))
return bprop(1)[1]
def f(x, y):
def sqx():
return x * x
def mulsqx(z):
return sqx() * z
res, bprop = J(mulsqx)(J(y))
return bprop(1)[1]
def test_J(x):
def f(x):
return x * x
jf = J(f)
jx = J(x)
jy, bprop = jf(jx)
df, dx = bprop(1.0)
return jy, df, dx
def test_J_return_function(x):
def f(y):
return y * y
def g():
return f
jg, _ = J(g)()
jy, bprop = jg(J(x))
_, dy = bprop(1.0)
return Jinv(jy), dy
def test_J_bprop_invalid(x):
def f(x):
return x * x
_, bprop = J(f)(J(x))
return bprop(1.0, 1.0)
def test_Jinv2(x):
def f(x):
return x * x
ff = Jinv(J(f))
return ff(x)
