comparison vamp/__init__.py @ 68:e15e684d2af4

Some tricky tests for returned values from the test plugin

 '''A high-level interface to the vampyhost extension module, for quickly and easily running Vamp audio analysis plugins on audio files and buffers.'''
+
+###!!! todo: move all the real code out of __init__.py
 
 import vampyhost
 import numpy
 
 def listPlugins():

             pad = numpy.zeros((frame.shape[0], frameSize - w))
             frame = numpy.concatenate((frame, pad), 1)
         yield frame
         i = i + stepSize
 
-def process(data, samplerate, key, parameters = {}, outputs = []):
-#!!! docstring
+
+def loadAndConfigureFor(data, samplerate, key, parameters):
     plug = vampyhost.loadPlugin(key, samplerate,
                                 vampyhost.AdaptInputDomain +
                                 vampyhost.AdaptChannelCount)
 
+    plug.setParameterValues(parameters)
+
+    stepSize = plug.getPreferredStepSize()
+    blockSize = plug.getPreferredBlockSize()
+
+    if blockSize == 0:
+        blockSize = 1024
+    if stepSize == 0:
+        stepSize = blockSize ##!!! or blockSize/2, but check this with input domain adapter
+
+    channels = 1
+    if data.ndim > 1:
+        channels = data.shape[0]
+
+    plug.initialise(channels, stepSize, blockSize)
+    return (plug, stepSize, blockSize)
+
+
+def process(data, samplerate, key, parameters = {}, outputs = []):
+#!!! docstring
+
+    plug, stepSize, blockSize = loadAndConfigureFor(data, samplerate, key, parameters)
+
     plugOuts = plug.getOutputs()
+    if plugOuts == []:
+        return
 
     outIndices = dict(zip([o["identifier"] for o in plugOuts],
                           range(0, len(plugOuts))))  # id -> n
 
     for o in outputs:

     if outputs == []:
         outputs = [plugOuts[0]["identifier"]]
 
     singleOutput = (len(outputs) == 1)
 
-    stepSize = plug.getPreferredStepSize()
-    blockSize = plug.getPreferredBlockSize()
-    if blockSize == 0:
-        blockSize = 1024
-    if stepSize == 0:
-        stepSize = blockSize ##!!! or blockSize/2, but check this with input domain adapter
-    channels = 1
-    if data.ndim > 1:
-        channels = data.shape[0]
-
-    plug.initialise(channels, stepSize, blockSize)
     ff = framesFromArray(data, stepSize, blockSize)
     fi = 0
 
     for f in ff:
         results = plug.processBlock(f, vampyhost.frame2RealTime(fi, samplerate))