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authorThomas Grill <xovo@users.sourceforge.net>2009-04-01 21:13:09 +0000
committerThomas Grill <xovo@users.sourceforge.net>2009-04-01 21:13:09 +0000
commit0ed7a8b68dd73e2b0473b8127aeca99f3bac9061 (patch)
tree5c67818b38a5cc2f9caa5ca7f8640ca356adf02b /externals/grill/py/scripts/sig.py
parentbb4c7f6a245394d09dac9adfb2efb093d3d98452 (diff)
cleaned up grill externals - replaced with svn:externals to svn.grrrr.org/ext/trunk/
svn path=/trunk/; revision=10951
Diffstat (limited to 'externals/grill/py/scripts/sig.py')
-rw-r--r--externals/grill/py/scripts/sig.py100
1 files changed, 0 insertions, 100 deletions
diff --git a/externals/grill/py/scripts/sig.py b/externals/grill/py/scripts/sig.py
deleted file mode 100644
index 09be7b66..00000000
--- a/externals/grill/py/scripts/sig.py
+++ /dev/null
@@ -1,100 +0,0 @@
-# py/pyext - python script objects for PD and MaxMSP
-#
-# Copyright (c) 2002-2005 Thomas Grill (gr@grrrr.org)
-# For information on usage and redistribution, and for a DISCLAIMER OF ALL
-# WARRANTIES, see the file, "license.txt," in this distribution.
-#
-
-"""This is an example script for the py/pyext signal support.
-
-For numarray see http://numeric.scipy.org
-It will probably once be replaced by Numeric(3)
-"""
-
-try:
- import pyext
-except:
- print "ERROR: This script must be loaded by the PD/Max py/pyext external"
-
-try:
- import psyco
- psyco.full()
- print "Using JIT compilation"
-except:
- # don't care
- pass
-
-import sys,math
-
-try:
- import numarray
-except:
- print "Failed importing numarray module:",sys.exc_value
-
-
-class gain(pyext._class):
- """Just a simple gain stage"""
-
- gain = 0
-
- def _signal(self):
- # Multiply input vector by gain and copy to output
- try:
- self._outvec(0)[:] = self._invec(0)*self.gain
- except:
- pass
-
-
-class gain2(pyext._class):
- """More optimized version"""
-
- gain = 0
-
- def _dsp(self):
- if not self._arraysupport():
- print "No DSP support"
- return False
-
- # cache vectors in this scope
- self.invec = self._invec(0)
- self.outvec = self._outvec(0)
- # initialize _signal method here for optimized version
- if self.invec is self.outvec:
- self._signal = self.signal1
- else:
- self._signal = self.signal2
- return True
-
- def signal1(self):
- # Multiply signal vector in place
- self.outvec *= self.gain
-
- def signal2(self):
- # Multiply input vector by gain and copy to output
- self.outvec[:] = self.invec*self.gain
-
-
-class pan(pyext._class):
- """Stereo panning"""
-
- def __init__(self):
- self.float_1(0.5)
-
- def float_1(self,pos):
- """pos ranges from 0 to 1"""
- x = pos*math.pi/2
- self.fl = math.cos(x)
- self.fr = math.sin(x)
-
- def _dsp(self):
- # if _dsp is present it must return True to enable DSP
- return pyext._arraysupport()
-
- def _signal(self):
- # Multiply input vector by gain and copy to output
- iv = self._invec(0)
- # first process right output channel because left one could be
- # identical to input
- # we could also test with 'self._outvec(1)[:] is iv'
- self._outvec(1)[:] = iv*self.fr
- self._outvec(0)[:] = iv*self.fl