def get_contour_frequency(contour_list, size, normalize=False):
def make_csegs(size):
base = list(range(size)) * size
permutations = map(list, itertools.permutations(base, size))
csegs_set = set([tuple(contour.translate(cseg)) for cseg in permutations])
return sorted(list(csegs_set))
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
csegs_map = make_csegs(size)
array = numpy.array([aux(comp_cseg, csegs_map, size) for comp_cseg in contour_list])
if normalize:
for i in range(len(csegs_map)):
array = utils.normalize_array(array, i)
return array
def get_interval_frequency(compositions, normalize=False):
def aux(composition):
intervals = composition.music_data.intervals_midi
counted = utils.special_counter(intervals, True)
seq = []
for i in range(-48, 49):
if i in counted:
seq.append(counted[i])
else:
seq.append(0)
return seq
array = numpy.array([aux(composition) for composition in compositions])
if normalize:
for i in range(-48, 49):
array = utils.normalize_array(array, i)
return array
def get_duration_ambitus(compositions, normalize=True, labelize=False):
pairs = [(c.music_data.total_duration, c.music_data.ambitus) for c in compositions]
if normalize:
arr = numpy.array(pairs)
for i in 0, 1:
arr = utils.normalize_array(arr, i)
pairs = arr.tolist()
if labelize:
seq = []
for i in range(len(pairs)):
imslp = compositions[i].collection.imslp_id
row = []
x, y = pairs[i]
row.append({'v': x, 'f':'{}. {}'.format(imslp, x)})
row.append(y)
seq.append(row)
pairs = seq
pairs.insert(0, ['', 'Piece'])
return pairs