audio-reactive-led-strip wasapi patch

diff --git a/python/microphone.py b/python/microphone.py
index 944273b..47d3027 100644
--- a/python/microphone.py
+++ b/python/microphone.py
@@ -7,18 +7,24 @@ import config
 def start_stream(callback):
     p = pyaudio.PyAudio()
     frames_per_buffer = int(config.MIC_RATE / config.FPS)
+    wasapi = p.get_default_output_device_info()
+    config.MIC_RATE = int(wasapi["defaultSampleRate"])
     stream = p.open(format=pyaudio.paInt16,
-                    channels=1,
+                    channels=wasapi["maxOutputChannels"],
                     rate=config.MIC_RATE,
                     input=True,
-                    frames_per_buffer=frames_per_buffer)
+                    input_device_index = wasapi["index"],
+                    frames_per_buffer=frames_per_buffer,
+                    as_loopback = True)
     overflows = 0
     prev_ovf_time = time.time()
     while True:
         try:
+                   # http://stackoverflow.com/questions/22636499/convert-multi-channel-pyaudio-into-numpy-array
             y = np.fromstring(stream.read(frames_per_buffer), dtype=np.int16)
+            y = np.reshape(y, (frames_per_buffer, wasapi["maxOutputChannels"]))
             y = y.astype(np.float32)
-            callback(y)
+            callback(y[:, 0])
         except IOError:
             overflows += 1
             if time.time() > prev_ovf_time + 1:
diff --git a/python/visualization.py b/python/visualization.py
index 18d9486..c204470 100644
--- a/python/visualization.py
+++ b/python/visualization.py
@@ -14,6 +14,8 @@ _time_prev = time.time() * 1000.0
 _fps = dsp.ExpFilter(val=config.FPS, alpha_decay=0.2, alpha_rise=0.2)
 """The low-pass filter used to estimate frames-per-second"""

+_silence = True
+

 def frames_per_second():
     """Return the estimated frames per second
@@ -189,7 +191,7 @@ prev_fps_update = time.time()


 def microphone_update(audio_samples):
-    global y_roll, prev_rms, prev_exp, prev_fps_update
+    global y_roll, prev_rms, prev_exp, prev_fps_update, _silence
     # Normalize samples between 0 and 1
     y = audio_samples / 2.0**15
     # Construct a rolling window of audio samples
@@ -199,10 +201,13 @@ def microphone_update(audio_samples):

     vol = np.max(np.abs(y_data))
     if vol < config.MIN_VOLUME_THRESHOLD:
-        print('No audio input. Volume below threshold. Volume:', vol)
-        led.pixels = np.tile(0, (3, config.N_PIXELS))
-        led.update()
+        if not _silence:
+          print('No audio input. Volume below threshold. Volume:', vol) # only print the warning once
+          _silence = True
+        #led.pixels = np.tile(0, (3, config.N_PIXELS))
+        #led.update()
     else:
+        _silence = False
         # Transform audio input into the frequency domain
         N = len(y_data)
         N_zeros = 2**int(np.ceil(np.log2(N))) - N