def test_simplify_kron(self):
A = pybamm.Matrix(np.eye(2))
b = pybamm.Vector(np.array([[4], [5]]))
kron = pybamm.Kron(A, b)
kron_simp = kron.simplify()
self.assertIsInstance(kron_simp, pybamm.Matrix)
np.testing.assert_array_equal(kron_simp.evaluate().toarray(),
np.kron(A.entries, b.entries))
def _jac(self, variable):
""" See :meth:`pybamm.Symbol._jac()`. """
# right cannot be a StateVector, so no need for product rule
left, right = self.orphans
if left.evaluates_to_number():
# Return zeros of correct size
return pybamm.Matrix(
csr_matrix((self.size, variable.evaluation_array.count(True))))
else:
return pybamm.Kron(left.jac(variable), right)
def _outer_jac(self, left_jac, right_jac, variable):
"""
Calculate jacobian of outer product.
See :meth:`pybamm.Jacobian._jac()`.
"""
# right cannot be a StateVector, so no need for product rule
left, right = self.orphans
if left.evaluates_to_number():
# Return zeros of correct size
return pybamm.Matrix(
csr_matrix((self.size, variable.evaluation_array.count(True))))
else:
return pybamm.Kron(left_jac, right)
def test_kron(self):
# Kron class
A = pybamm.Matrix(np.eye(2))
b = pybamm.Vector(np.array([[4], [5]]))
kron = pybamm.Kron(A, b)
np.testing.assert_array_equal(kron.evaluate().toarray(),
np.kron(A.entries, b.entries))
# failures
with self.assertRaises(NotImplementedError):
kron.diff(None)
with self.assertRaises(NotImplementedError):
kron.jac(None)
def _binary_simplify(self, left, right):
""" See :meth:`pybamm.BinaryOperator.simplify()`. """
return pybamm.Kron(left, right)
