def test_clusterview():
keys = ('cluster_groups,group_colors,group_names,'
'cluster_sizes').split(',')
data = get_data()
kwargs = {k: data[k] for k in keys}
kwargs['cluster_colors'] = data['cluster_colors_full']
# kwargs['background'] = {5: 1, 7: 2}
clusters = get_indices(data['cluster_sizes'])
quality = pd.Series(np.random.rand(len(clusters)), index=clusters)
kwargs['cluster_quality'] = quality
kwargs['operators'] = [
lambda self: self.view.set_quality(quality),
lambda self: self.view.set_background({
5: 1,
7: 2
}),
lambda self: self.view.set_background({6: 3}),
lambda self: self.view.set_background({}),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
window = show_view(ClusterView, **kwargs)
def test_clusterview():
keys = ('cluster_groups,group_colors,group_names,'
'cluster_sizes').split(',')
data = get_data()
kwargs = {k: data[k] for k in keys}
kwargs['cluster_colors'] = data['cluster_colors_full']
# kwargs['background'] = {5: 1, 7: 2}
clusters = get_indices(data['cluster_sizes'])
quality = pd.Series(np.random.rand(len(clusters)), index=clusters)
kwargs['cluster_quality'] = quality
kwargs['operators'] = [
lambda self: self.view.set_quality(quality),
lambda self: self.view.set_background({5: 1, 7: 2}),
lambda self: self.view.set_background({6: 3}),
lambda self: self.view.set_background({}),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
window = show_view(ClusterView, **kwargs)
def test_featureprojview():
keys = (
'features,features_background,masks,clusters,clusters_selected,'
'spiketimes,'
'cluster_colors,fetdim,nchannels,nextrafet,duration,freq').split(',')
data = get_data()
kwargs = {k: data[k] for k in keys}
kwargs['operators'] = [
lambda self: assert_fun(self.view.get_projection(0) == (0, 0)),
lambda self: assert_fun(self.view.get_projection(1) == (0, 1)),
lambda self: self.view.select_channel(0, 5),
lambda self: self.view.select_feature(0, 1),
lambda self: self.view.select_channel(1, 32),
lambda self: self.view.select_feature(1, 2),
lambda self: assert_fun(self.view.get_projection(0) == (5, 1)),
lambda self: assert_fun(self.view.get_projection(1) == (32, 2)),
lambda self: self.view.toggle_mask(),
lambda self: self.view.set_wizard_pair((2, 1), (3, 2)),
lambda self: self.view.set_wizard_pair(None, (3, 2)),
lambda self: self.view.set_wizard_pair((3, 2), None),
lambda self: self.view.set_wizard_pair(None, None),
lambda self: self.view.set_projection(0, 2, -1),
lambda self: self.view.set_projection(1, 2, -1),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
show_view(FeatureProjectionView, **kwargs)
def test_similaritymatrixview():
data = get_data()
kwargs = {}
kwargs['similarity_matrix'] = create_similarity_matrix(nclusters)
kwargs['cluster_colors_full'] = data['cluster_colors_full']
kwargs['operators'] = [
lambda self: self.view.show_selection(5, 6),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
show_view(SimilarityMatrixView, **kwargs)
def test_waveformview():
keys = ('waveforms,clusters,cluster_colors,clusters_selected,masks,'
'geometrical_positions').split(',')
data = get_data()
kwargs = {k: data[k] for k in keys}
operators = [
lambda self: self.view.toggle_mask(),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
show_view(WaveformView, operators=operators, **kwargs)
def test_similaritymatrixview():
data = get_data()
kwargs = {}
kwargs['similarity_matrix'] = create_similarity_matrix(nclusters)
kwargs['cluster_colors_full'] = data['cluster_colors_full']
kwargs['operators'] = [
lambda self: self.view.show_selection(5, 6),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
show_view(SimilarityMatrixView, **kwargs)
def test_waveformview():
keys = ('waveforms,clusters,cluster_colors,clusters_selected,masks,'
'geometrical_positions'
).split(',')
data = get_data()
kwargs = {k: data[k] for k in keys}
operators = [
lambda self: self.view.toggle_mask(),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
show_view(WaveformView, operators=operators, **kwargs)
def test_correlogramsview():
keys = ('clusters_selected,cluster_colors').split(',')
data = get_data()
kwargs = {k: data[k] for k in keys}
kwargs['correlograms'] = create_correlograms(kwargs['clusters_selected'],
ncorrbins)
kwargs['baselines'] = create_baselines(kwargs['clusters_selected'])
kwargs['ncorrbins'] = ncorrbins
kwargs['corrbin'] = corrbin
kwargs['operators'] = [
lambda self: self.view.change_normalization('uniform'),
lambda self: self.view.change_normalization('row'),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
show_view(CorrelogramsView, **kwargs)
def test_featureview():
keys = ('features,features_background,masks,clusters,clusters_selected,'
'spiketimes,'
'cluster_colors,fetdim,nchannels,nextrafet,duration,freq').split(',')
data = get_data()
kwargs = {k: data[k] for k in keys}
kwargs['operators'] = [
lambda self: self.view.toggle_mask(),
lambda self: self.view.set_wizard_pair((2, 1), (3, 2)),
lambda self: self.view.set_wizard_pair(None, (3, 2)),
lambda self: self.view.set_wizard_pair((3, 2), None),
lambda self: self.view.set_wizard_pair(None, None),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
show_view(FeatureView, **kwargs)
def test_correlogramsview():
keys = ('clusters_selected,cluster_colors').split(',')
data = get_data()
kwargs = {k: data[k] for k in keys}
kwargs['correlograms'] = create_correlograms(kwargs['clusters_selected'],
ncorrbins)
kwargs['baselines'] = create_baselines(kwargs['clusters_selected'])
kwargs['ncorrbins'] = ncorrbins
kwargs['corrbin'] = corrbin
kwargs['operators'] = [
lambda self: self.view.change_normalization('uniform'),
lambda self: self.view.change_normalization('row'),
lambda self: (self.close()
if USERPREF['test_auto_close'] != False else None),
]
# Show the view.
show_view(CorrelogramsView, **kwargs)
