def test_lbfgs_lr():
    obj = LogisticRegression(seed=10101)
    args = itertools.repeat(((obj.X, obj.Z), {}))
    opt = Lbfgs(obj.pars, obj.f, obj.fprime, args=args)
    for i, info in enumerate(opt):
        if 100 > i:
            break
    assert obj.solved(), 'did not find solution'
dataset/ETHPy150Open BRML/climin/test/test_lbfgs.py/test_lbfgs_lr/swapped operands of `>`