def aux(composition_contour, csegs_map, size):
splitted = contour.split_and_translate(composition_contour, size)
csegs = [csegs_map.index(tuple(c)) for c in splitted]
counted = Counter(csegs)
seq = []
for i in range(len(csegs_map)):
if i in counted:
seq.append(counted[i])
else:
seq.append(0)
return seq
def analysis(compositions):
# intervals
midi_intervals = utils.get_music_data_attrib(compositions, 'intervals_midi', 'extend')
nested_midi_intervals = utils.get_music_data_attrib(compositions, 'intervals_midi', 'append')
# durations
dur = utils.get_music_data_attrib(compositions, 'durations', 'extend')
nested_dur = utils.get_music_data_attrib(compositions, 'durations', 'append')
# contour
contour_list = utils.get_music_data_attrib(compositions, 'contour', 'append')
tests = [midi_intervals,
nested_midi_intervals,
dur,
nested_dur,
contour_list]
if all(tests):
# intervals
cat_intervals = list(map(intervals.get_category, midi_intervals))
cat_nested_intervals = [list(map(intervals.get_category, s)) for s in nested_midi_intervals]
coll_freq_intervals = utils.special_counter(cat_intervals, True)
# durations
coll_freq_durations = utils.special_counter(dur, True)
# contour
freq_dist_args = {}
for size in range(2, 5):
split_seq = list(map(tuple, contour.split_and_translate_nested(contour_list, size)))
split_seq_nested = [list(map(tuple, contour.split_and_translate(c, size))) for c in contour_list]
coll_freq_dic = contour.get_frequency(split_seq, size)
freq_dist_sc = utils.frequency_distance_scatter(compositions, split_seq_nested, coll_freq_dic, True)
freq_dist_args.update({'contour_{}_distance'.format(size): freq_dist_sc})
freq_data = [
['Duration', nested_dur, coll_freq_durations],
['Interval', cat_nested_intervals, coll_freq_intervals],
]
args = {
'intervals_distance': utils.frequency_distance_scatter(compositions, cat_nested_intervals, coll_freq_intervals, True),
'durations_distance': utils.frequency_distance_scatter(compositions, nested_dur, coll_freq_durations, True),
'id_distance': utils.frequency_distance_scatter_group(compositions, freq_data, True),
}
args.update(freq_dist_args)
else:
args = {}
return args
def split_and_count_contour(cseg, order):
without_repetition = contour.remove_adjacent_repetition(cseg)
return contour.split_and_translate(without_repetition, order + 2)
