def __init__(self,
led,
vis_list=None,
steps_per_vis=None,
bins=64,
max_freq=4000,
log_scale=True,
auto_gain=False,
gain=3):
super(Spectrum, self).__init__(led)
self.source = EQ(bins=bins,
max_freq=max_freq,
log_scale=log_scale,
auto_gain=auto_gain,
gain=gain)
self.draw_obj = None
self.steps_per_vis = steps_per_vis
self.vis_dict = {}
for v in DEFAULT_VIS_LIST:
self.vis_dict[v.__name__] = v(self)
self.vis_list = vis_list
if not self.vis_list:
self.vis_list = [v.__name__ for v in DEFAULT_VIS_LIST]
self.cur_vis = len(self.vis_list)
self.next_draw_obj()
class Spectrum(BaseMatrixAnim):
def __init__(self,
led,
vis_list=None,
steps_per_vis=None,
bins=64,
max_freq=4000,
log_scale=True,
auto_gain=False,
gain=3):
super(Spectrum, self).__init__(led)
self.source = EQ(bins=bins,
max_freq=max_freq,
log_scale=log_scale,
auto_gain=auto_gain,
gain=gain)
self.draw_obj = None
self.steps_per_vis = steps_per_vis
self.vis_dict = {}
for v in DEFAULT_VIS_LIST:
self.vis_dict[v.__name__] = v(self)
self.vis_list = vis_list
if not self.vis_list:
self.vis_list = [v.__name__ for v in DEFAULT_VIS_LIST]
self.cur_vis = len(self.vis_list)
self.next_draw_obj()
def preRun(self, amt=1):
self.source.start()
def _exit(self, type, value, traceback):
self.source.stop()
def next_draw_obj(self):
self.cur_vis += 1
if self.cur_vis >= len(self.vis_list):
self.cur_vis = 0
if self.draw_obj:
del self.draw_obj
name = self.vis_list[self.cur_vis]
log.info("Loading {}".format(name))
self.draw_obj = self.vis_dict[name]
def step(self, amt=1):
assert self.draw_obj, "No loaded visualizers!"
self._led.all_off()
data = self.source.get_audio_data()
self.draw_obj.draw(data, amt)
if self.steps_per_vis:
self._step += 1
if self._step % self.steps_per_vis == 0:
self.next_draw_obj()
class Spectrum(BaseMatrixAnim):
def __init__(self, led, vis_list=None, steps_per_vis=None,
bins=64, max_freq=4000, log_scale=True, auto_gain=False, gain=3):
super(Spectrum, self).__init__(led)
self.source = EQ(bins=bins, max_freq=max_freq,
log_scale=log_scale, auto_gain=auto_gain, gain=gain)
self.draw_obj = None
self.steps_per_vis = steps_per_vis
self.vis_dict = {}
for v in DEFAULT_VIS_LIST:
self.vis_dict[v.__name__] = v(self)
self.vis_list = vis_list
if not self.vis_list:
self.vis_list = [v.__name__ for v in DEFAULT_VIS_LIST]
self.cur_vis = len(self.vis_list)
self.next_draw_obj()
def preRun(self, amt=1):
self.source.start()
def _exit(self, type, value, traceback):
self.source.stop()
def next_draw_obj(self):
self.cur_vis += 1
if self.cur_vis >= len(self.vis_list):
self.cur_vis = 0
if self.draw_obj:
del self.draw_obj
name = self.vis_list[self.cur_vis]
log.info("Loading {}".format(name))
self.draw_obj = self.vis_dict[name]
def step(self, amt=1):
assert self.draw_obj, "No loaded visualizers!"
self._led.all_off()
data = self.source.get_audio_data()
self.draw_obj.draw(data, amt)
if self.steps_per_vis:
self._step += 1
if self._step % self.steps_per_vis == 0:
self.next_draw_obj()
def __init__(self, led, vis_list=None, steps_per_vis=None,
bins=64, max_freq=4000, log_scale=True, auto_gain=False, gain=3):
super(Spectrum, self).__init__(led)
self.source = EQ(bins=bins, max_freq=max_freq,
log_scale=log_scale, auto_gain=auto_gain, gain=gain)
self.draw_obj = None
self.steps_per_vis = steps_per_vis
self.vis_dict = {}
for v in DEFAULT_VIS_LIST:
self.vis_dict[v.__name__] = v(self)
self.vis_list = vis_list
if not self.vis_list:
self.vis_list = [v.__name__ for v in DEFAULT_VIS_LIST]
self.cur_vis = len(self.vis_list)
self.next_draw_obj()
