How to use the elfi.examples.ma2.get_model function in elfi

def test_sample_object_to_dict():
    data_rej = OrderedDict()
    data_smc = OrderedDict()
    m = get_model(n_obs=100, true_params=[.6, .2])
    batch_size, n = 1, 2
    schedule = [0.7, 0.2, 0.05]
    rej = elfi.Rejection(m['d'], batch_size=batch_size)
    res_rej = rej.sample(n, threshold=0.1)
    smc = elfi.SMC(m['d'], batch_size=batch_size)
    res_smc = smc.sample(n, schedule)
    sample_object_to_dict(data_rej, res_rej)
    sample_object_to_dict(data_smc, res_smc, skip='populations')
    assert any(x not in data_rej for x in ['meta', 'output']) is True
    assert any(x not in data_smc for x in ['meta', 'output', 'populations']) is True

def test_multi_parameter_linear_adjustment():
    """A regression test against values obtained in the notebook."""
    seed = 20170511
    threshold = 0.2
    batch_size = 1000
    n_samples = 500
    m = ma2.get_model(true_params=[0.6, 0.2], seed_obs=seed)

    summary_names = ['S1', 'S2']
    parameter_names = ['t1', 't2']
    linear_adjustment = LinearAdjustment()

    res = elfi.Rejection(
        m['d'],
        batch_size=batch_size,
        output_names=['S1', 'S2'],
        # output_names=summary_names, # fails ?!?!?
        seed=seed).sample(
            n_samples, threshold=threshold)
    adjusted = adjust_posterior(
        model=m,
        sample=res,
        parameter_names=parameter_names,

import elfi
from elfi.examples import ma2

# load the model from elfi.examples
model = ma2.get_model()

# setup and run rejection sampling
rej = elfi.Rejection(model['d'], batch_size=10000)
result = rej.sample(1000, quantile=0.01)

# show summary of results on stdout
result.summary()