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

    """Test topomap plotting.
    """
    import matplotlib.pyplot as plt
    from matplotlib.patches import Circle
    warnings.simplefilter('always')
    res = 8
    fast_test = {'res': res, 'contours': 0, 'sensors': False}
    evoked = read_evokeds(evoked_fname, 'Left    Auditory', baseline=(None, 0))
    (_, anim) = evoked.animate_topomap(ch_type='grad', times=[0, 0.1], butterfly=False)
    anim._func(1)
    plt.close('all')
    ev_bad = evoked.copy().pick_types(meg=False, eeg=True)
    ev_bad.pick_channels(ev_bad.ch_names[:2])
    plt_topomap = partial(ev_bad.plot_topomap, **fast_test)
    plt_topomap(times=(ev_bad.times[:2] - 1e-06))
    assert_raises(ValueError, plt_topomap, ch_type='mag')
    assert_raises(TypeError, plt_topomap, head_pos='foo')
    assert_raises(KeyError, plt_topomap, head_pos=dict(foo='bar'))
    assert_raises(ValueError, plt_topomap, head_pos=dict(center=0))
    assert_raises(ValueError, plt_topomap, times=[(-100)])
    assert_raises(ValueError, plt_topomap, times=[[0]])
    evoked.plot_topomap([0.1], ch_type='eeg', scale=1, res=res, contours=[(-100), 0, 100])
    plt_topomap = partial(evoked.plot_topomap, **fast_test)
    plt_topomap(0.1, layout=layout, scale=dict(mag=0.1))
    plt.close('all')
    axes = [plt.subplot(221), plt.subplot(222)]
    plt_topomap(axes=axes, colorbar=False)
    plt.close('all')
    plt_topomap(times=[(-0.1), 0.2])
    plt.close('all')
    evoked_grad = evoked.copy().crop(0, 0).pick_types(meg='grad')
    mask = np.zeros((204, 1), bool)
    mask[[0, 3, 5, 6]] = True
    names = []
    def proc_names(x):
        names.append(x)
        return x[4:]
    evoked_grad.plot_topomap(ch_type='grad', times=[0], mask=mask, show_names=proc_names, **fast_test)
    assert_equal(sorted(names), ['MEG    011x', 'MEG    012x', 'MEG    013x', 'MEG    014x'])
    mask = np.zeros_like(evoked.data, dtype=bool)
    mask[[1, 5], :] = True
    plt_topomap(ch_type='mag', outlines=None)
    times = [0.1]
    plt_topomap(times, ch_type='grad', mask=mask)
    plt_topomap(times, ch_type='planar1')
    plt_topomap(times,...