def map_song_tr(data):
label, sid = data
try:
song_path = get_song_path(sid)
new_mat = process_mp3(song_path)
wd_ids = range(len(new_mat))
random.shuffle(wd_ids)
wd_ids = wd_ids[:SIZE]
new_mat = [new_mat[i] for i in wd_ids]
_new_mat = np.array(new_mat)
_new_mat = np.log(_new_mat + 1)
_new_mat = normalize(_new_mat)
new_mat = map(lambda x: list(x), _new_mat)
str_mat = map_list_to_str(new_mat)
assert len(str_mat.split()) == DIM * SIZE # QA
return str_mat
except:
import traceback
traceback.print_exc()
def map_song_with_label_te(data):
"""For testing cases, provide beansdb for python test script"""
label, sid = data
try:
song_path = get_song_path(sid)
new_mat = process_mp3(song_path)
wd_ids = range(len(new_mat))
random.shuffle(wd_ids)
wd_ids = wd_ids[:SIZE]
new_mat = [new_mat[i] for i in wd_ids]
_new_mat = np.array(new_mat)
_new_mat = np.log(_new_mat + 1)
_new_mat = normalize(_new_mat)
new_mat = map(lambda x: list(x), _new_mat)
new_mat_ln = reduce(lambda x, y : list(x) + list(y), list(new_mat))
assert len(new_mat_ln) == DIM * SIZE # QA
return label, new_mat_ln
except:
import traceback
traceback.print_exc()
def map_song_with_label_te(data):
"""For testing cases, provide beansdb for python test script"""
label, sid = data
try:
song_path = get_song_path(sid)
new_mat = process_mp3(song_path)
wd_ids = range(len(new_mat))
random.shuffle(wd_ids)
wd_ids = wd_ids[:SIZE]
new_mat = [new_mat[i] for i in wd_ids]
assert all(len(mat_elem) == DIM for mat_elem in new_mat)
assert len(new_mat) == SIZE
_new_mat = np.array(new_mat)
_new_mat = np.log(_new_mat + 1)
_new_mat = normalize(_new_mat)
new_mat = _new_mat.tolist() # IMPORTANT. beansdb can't save numpy.float64
return label, new_mat
except:
import traceback
traceback.print_exc()
def map_song_with_label_te(data):
"""For testing cases, provide beansdb for python test script"""
label, sid = data
try:
song_path = get_song_path(sid)
new_mat = process_mp3(song_path)
wd_ids = range(len(new_mat))
random.shuffle(wd_ids)
wd_ids = wd_ids[:SIZE]
new_mat = [new_mat[i] for i in wd_ids]
assert all(len(mat_elem) == DIM for mat_elem in new_mat)
assert len(new_mat) == SIZE
_new_mat = np.array(new_mat)
_new_mat = np.log(_new_mat + 1)
_new_mat = normalize(_new_mat)
new_mat = _new_mat.tolist(
) # IMPORTANT. beansdb can't save numpy.float64
return label, new_mat
except:
import traceback
traceback.print_exc()
def map_song_with_label_tr(data):
"""For paracel IO, provide textfiles"""
label, sid = data
try:
song_path = get_song_path(sid)
new_mat = process_mp3(song_path)
wd_ids = range(len(new_mat))
random.shuffle(wd_ids)
wd_ids = wd_ids[:SIZE]
new_mat = [new_mat[i] for i in wd_ids]
assert all(len(mat_elem) == DIM for mat_elem in new_mat)
assert len(new_mat) == SIZE
_new_mat = np.array(new_mat)
_new_mat = np.log(_new_mat + 1)
_new_mat = normalize(_new_mat)
new_mat = map(lambda x: list(x), _new_mat)
map(lambda x: x.append(label), new_mat)
str_mat = map_list_to_str(new_mat)
return str_mat
except:
import traceback
traceback.print_exc()
def map_song_with_label_tr(data):
"""For paracel IO, provide textfiles"""
label, sid = data
try:
song_path = get_song_path(sid)
new_mat = process_mp3(song_path)
wd_ids = range(len(new_mat))
random.shuffle(wd_ids)
wd_ids = wd_ids[:SIZE]
new_mat = [new_mat[i] for i in wd_ids]
assert all(len(mat_elem) == DIM for mat_elem in new_mat)
assert len(new_mat) == SIZE
_new_mat = np.array(new_mat)
_new_mat = np.log(_new_mat + 1)
_new_mat = normalize(_new_mat)
new_mat = map(lambda x: list(x), _new_mat)
map(lambda x: x.append(label), new_mat)
str_mat = map_list_to_str(new_mat)
return str_mat
except:
import traceback
traceback.print_exc()
