human
I wrote the below code

    class MyModel(Fittable1DModel, ):
        a = Parameter(default=1)
        b = Parameter(default=2)
        @staticmethod
        def evaluate(x, a, b):
            return ((a * x) + b)
    m_real = MyModel(a=1.5, b=(-3))
    x = np.arange(100)
    y = m_real(x)
    m = MyModel()
    f = fitting.LevMarLSQFitter()
    fitted_1 = f(m, x, y)
    assert np.allclose(fitted_1.a, 1.5)
    assert np.allclose(fitted_1.b, (-3))
    m2 = MyModel()
    m2.a.bounds = ((-2), 2)
    f2 = fitting.LevMarLSQFitter()
    fitted_2 = f2(m2, x, y)
    assert np.allclose(fitted_1.a, 1.5)
    assert np.allclose(fitted_1.b, (-3))
    assert np.any((f2.fit_info[u'fjac'] != 0))

What's a good function header?
 ... Here's a good function header?
assistant
#Here's a good function header.

@pytest.mark.skipif(u'not    HAS_SCIPY')
def test_fit_with_bound_constraints_estimate_jacobian():