7ffcd4a2a5213c0a7de9fdc3aff4725c166db986,arviz/tests/test_plots.py,,test_plot_ppc_discrete,#Any#Any#,398

Before Change

    data = MagicMock(spec=InferenceData)
    observed_data = xr.Dataset({"obs": (["obs_dim_0"], [9, 9])}, coords={"obs_dim_0": [1, 2]})
    posterior_predictive = xr.Dataset(
        {"obs": (["draw", "chain", "obs_dim_0"], [[[1]], [[1]]])},
        coords={"obs_dim_0": [1], "chain": [1], "draw": [1, 2]},
    )
    data.observed_data = observed_data
    data.posterior_predictive = posterior_predictive

    axes = plot_ppc(data, kind=kind, animated=animated)
    assert axes

After Change

@pytest.mark.parametrize("kind", ["density", "cumulative", "scatter"])
@pytest.mark.parametrize("animated", [False, True])
def test_plot_ppc_discrete(kind, animated):
    data = from_dict(
        observed_data={"obs": np.random.randint(1, 100, 15)},
        posterior_predictive={"obs": np.random.randint(1, 300, (1, 20, 15))},
    )

    animation_kwargs = {"blit": False}
    axes = plot_ppc(data, kind=kind, animated=animated, animation_kwargs=animation_kwargs)

Instances