def analysis(compositions, size=2):
duration_ambitus = cluster_duration_ambitus.get_duration_ambitus(compositions, True, False)
contour_list = utils.get_music_data_attrib(compositions, 'contour', 'append')
a = numpy.array(duration_ambitus[1:])
b = cluster_contour.get_contour_frequency(contour_list, size, True)
c = cluster_intervals_frequency.get_interval_frequency(compositions)
d = cluster_durations_frequency.get_duration_frequency(compositions)
array = numpy.column_stack((a, b, c, d))
min_pts = 10
if array.shape[0] < 10:
min_pts = 0
reachability_plot = utils.make_reachability_plot(array, min_pts)
cluster_table = utils.make_clusters(compositions, array, min_pts)
if array.any():
args = {
'reachability_plot': reachability_plot,
'cluster_table': cluster_table,
'size': size,
}
else:
args = {}
return args
def analysis(compositions):
duration_ambitus_label = get_duration_ambitus(compositions, True, True)
duration_ambitus = get_duration_ambitus(compositions, True, False)
array = numpy.array(duration_ambitus[1:])
min_pts = 10
if len(duration_ambitus) < 10:
min_pts = 0
cluster = duration_ambitus_cluster(array, min_pts)
reachability_plot = utils.make_reachability_plot(array, min_pts)
cluster_table = utils.make_clusters(compositions, array, min_pts)
if duration_ambitus:
args = {
'duration_ambitus_label': duration_ambitus_label,
'duration_ambitus': duration_ambitus,
'cluster': cluster,
'reachability_plot': reachability_plot,
'cluster_table': cluster_table,
}
else:
args = {}
return args
def analysis(composition):
midi_notes = composition.music_data.notes
durations_seq = composition.music_data.durations
notes_scatter = list(map(list, enumerate(midi_notes)))
notes_scatter.insert(0, ['Time point', 'Midi note'])
notes_scatter_array = numpy.array(notes_scatter[1:])
min_pts = 10
if notes_scatter_array.shape[0] < 10:
min_pts = 0
notes_reachability_plot = utils.make_reachability_plot(notes_scatter_array, min_pts)
durations_scatter = list(map(list, enumerate(durations_seq)))
durations_scatter.insert(0, ['Time point', 'Duration note'])
durations_scatter_array = numpy.array(durations_scatter[1:])
min_pts = 10
if notes_scatter_array.shape[0] < 10:
min_pts = 0
durations_reachability_plot = utils.make_reachability_plot(durations_scatter_array, min_pts)
notes_cluster = utils.make_optics_plot_data(notes_scatter_array, min_pts)
durations_cluster = utils.make_optics_plot_data(durations_scatter_array, min_pts)
if midi_notes and durations_seq:
args = {
'composition': composition,
'notes_scatter': notes_scatter,
'durations_scatter': durations_scatter,
'notes_reachability_plot': notes_reachability_plot,
'durations_reachability_plot': durations_reachability_plot,
'notes_cluster': notes_cluster,
'durations_cluster': durations_cluster,
}
else:
args = {}
return args
def analysis(compositions):
array = get_interval_frequency(compositions)
min_pts = 10
if array.shape[0] < 10:
min_pts = 0
reachability_plot = utils.make_reachability_plot(array, min_pts)
cluster_table = utils.make_clusters(compositions, array, min_pts)
if array.any():
args = {
'reachability_plot': reachability_plot,
'cluster_table': cluster_table,
}
else:
args = {}
return args
def analysis(compositions, size=2):
contour_list = utils.get_music_data_attrib(compositions, 'contour', 'append')
array = get_contour_frequency(contour_list, size, True)
min_pts = 10
if array.shape[0] < 10:
min_pts = 0
reachability_plot = utils.make_reachability_plot(array, min_pts)
cluster_table = utils.make_clusters(compositions, array, min_pts)
if array.any():
args = {
'reachability_plot': reachability_plot,
'cluster_table': cluster_table,
'size': size,
}
else:
args = {}
return args
