human
Solve the following python programming problem given the following code:
@requires_sklearn
@testing.requires_testing_data
def test_continuous_regression_with_overlap():
assistant
#Here is the Python program you requested.

    """Test regression with overlap correction.
    """
    signal = np.zeros(100000)
    times = [1000, 2500, 3000, 5000, 5250, 7000, 7250, 8000]
    events = np.zeros((len(times), 3), int)
    events[:, 2] = 1
    events[:, 0] = times
    signal[events[:, 0]] = 1.0
    effect = hann(101)
    signal = np.convolve(signal, effect)[:len(signal)]
    raw = RawArray(signal[np.newaxis, :], mne.create_info(1, 100, 'eeg'))
    assert_allclose(effect, linear_regression_raw(raw, events, {1: 1}, tmin=0)[1].data.flatten())
    from sklearn.linear_model.ridge import ridge_regression
    def solver(X, y):
        return ridge_regression(X, y, alpha=0.0)
    assert_allclose(effect, linear_regression_raw(raw, events, tmin=0, solver=solver)['1'].data.flatten())
    def solT(X, y):
        return ridge_regression(X, y, alpha=0.0).T
    assert_raises(ValueError, linear_regression_raw, raw, events, solver=solT)
    assert_raises(ValueError, linear_regression_raw, raw, events, solver='err')
    assert_raises(TypeError, linear_regression_raw, raw, events, solver=0)