def mapper(self, _, line):
""" The mapper loads a track and yields its ramp factor """
t = track.load_track(line)
segments = t['segments']
duration = t['duration']
xdata = []
ydata = []
for i in xrange(len(segments)):
seg = segments[i]
sloudness = seg['loudness_max']
sstart = seg['start'] + seg['loudness_max_time']
xdata.append( sstart )
ydata.append( sloudness )
if duration > 20:
idata = tools.interpolate(xdata, ydata, int(duration) * 10)
smooth = tools.smooth(idata, 20)
samp = tools.sample(smooth, self.SIZE)
ndata = tools.rnormalize(samp, -60, 0)
if self.DUMP:
for i, (x, y) in enumerate(zip(self.MATCH, ndata)):
print i, x, y
if self.VECTOR:
yield (t['artist_name'], t['title'], t['track_id']), ndata
else:
distance = tools.distance(self.MATCH, ndata)
yield (t['artist_name'], t['title'], t['track_id']), distance
def mapper(self, _, line):
""" The mapper loads a track and yields its ramp factor """
t = track.load_track(line)
segments = t['segments']
duration = t['duration']
xdata = []
ydata = []
for i in xrange(len(segments)):
seg = segments[i]
sloudness = seg['loudness_max']
sstart = seg['start'] + seg['loudness_max_time']
xdata.append(sstart)
ydata.append(sloudness)
if duration > 20:
idata = tools.interpolate(xdata, ydata, int(duration) * 10)
smooth = tools.smooth(idata, 20)
samp = tools.sample(smooth, self.SIZE)
ndata = tools.rnormalize(samp, -60, 0)
if self.DUMP:
for i, (x, y) in enumerate(zip(self.MATCH, ndata)):
print i, x, y
if self.VECTOR:
yield (t['artist_name'], t['title'], t['track_id']), ndata
else:
distance = tools.distance(self.MATCH, ndata)
yield (t['artist_name'], t['title'], t['track_id']), distance
def dump():
data = tools.rnormalize(tools.scale(tools.sin2wave(256), 60, -60), -60, 0)
for d in data:
print d
def dump():
data = tools.rnormalize(tools.scale(tools.sin2wave(256), 60, -60), -60, 0)
for d in data:
print d