def test_constant_equiv():
n = 10
constant = 1.5
w_const = NumpyFnConstWeighting(constant)
w_const2 = NumpyFnConstWeighting(constant)
const_sparse_mat = scipy.sparse.dia_matrix(([constant] * n, [0]),
shape=(n, n))
const_dense_mat = constant * np.eye(n)
w_matrix_sp = NumpyFnMatrixWeighting(const_sparse_mat)
w_matrix_de = NumpyFnMatrixWeighting(const_dense_mat)
# Equal -> True
assert w_const.equiv(w_const)
assert w_const.equiv(w_const2)
# Equivalent matrix representation -> True
assert w_const.equiv(w_matrix_sp)
assert w_const.equiv(w_matrix_de)
w_different_const = NumpyFnConstWeighting(2.5)
assert not w_const.equiv(w_different_const)
# Bogus input
assert not w_const.equiv(True)
assert not w_const.equiv(object)
assert not w_const.equiv(None)
