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# 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
self._outvec(0)[:] = self._invec(0)*self.gain
class gain2(pyext._class):
"""More optimized version"""
gain = 0
def _dsp(self):
# cache vectors
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
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 _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
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