def assert_resnorm(self, lhs):
res = self.residual.eval(arguments=dict(dofs=lhs))[numpy.isnan(self.cons)] if self.single \
else numpy.concatenate([sparse.toarray(sparse.take(r, [numpy.isnan(self.cons[d])]) if d in self.cons else r)
for d, r in zip(self.dofs, sample.eval_integrals_sparse(*self.residual, **lhs))])
resnorm = numpy.linalg.norm(res)
self.assertLess(resnorm, self.tol)
def test_toarray(self):
array = sparse.toarray(self.data)
self.assertEqual(array.tolist(), self.full.tolist())
def assert_resnorm(self, lhs): res, = sample.eval_integrals_sparse(self.residual, dofs=lhs) resnorm = numpy.linalg.norm(sparse.toarray(res)[~self.boolcons]) self.assertLess(resnorm, self.tol)
