multiply inlets for py (hot and cold inlets)

small optimizations and fixes
use PyGILState_\*() functionality (enabled with PY_USE_GIL)
updates for DSP processing
__str__ method for pyext, to enable print self calls
added message bundle functionality (pyext.Bundle class)
enable compiled-only scripts (without .py)
enable optimization of Python code in reease build
let _inlets and _outlets default to 0
fix for numpy
some ASSERTs for explicitly created pyext classes (should be runtime checks i guess)
open editor for script under OS X
fixing numpy initialization quirks
enable symbol binding for all callables (not only functions and methods)
_isthreaded is now a data member instead of a method
fix for gcc4
added pyext._list and pyext._tuple to convert input lists to Python sequence objects
enable module packages (module/__init__.py[co]), now also for Max
python-like dotted module.function syntax
cleaned up float vs. int pyext tags
compiler flag to exclude DSP objects
some optimizations and py reload fix
more safety for calls where association python-pd has already been removed
always run Python interpreter in the background

svn path=/trunk/; revision=7474

1 files changed, 60 insertions, 60 deletions

diff --git a/externals/grill/py/scripts/buffer.py b/externals/grill/py/scripts/buffer.py
index 2bd36203..46c47991 100644
--- a/externals/grill/py/scripts/buffer.py
+++ b/externals/grill/py/scripts/buffer.py
@@ -1,60 +1,60 @@
-# 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 object's buffer support.

-

-PD/Max buffers can be mapped to Python arrays.

-Currently, there are three implementations:

-Numeric, numarray and Numeric3 (for all of them see http://numeric.scipy.org)

-"""

-

-import sys

-

-try:

-    import pyext

-except:

-    print "ERROR: This script must be loaded by the PD/Max py/pyext external"

-

-try:

-    from numarray import *

-except:

-    print "Failed importing numarray module:",sys.exc_value

-

-def mul(*args):

-    # create buffer objects

-    # as long as these variables live the underlying buffers are locked

-    c = pyext.Buffer(args[0])

-    a = pyext.Buffer(args[1])

-    b = pyext.Buffer(args[2])

-

-    # slicing causes Python arrays (mapped to buffers) to be created

-    # note the c[:] - to assign contents you must assign to a slice of the buffer

-    c[:] = a[:]*b[:]  

-

-def add(*args):

-    c = pyext.Buffer(args[0])

-    a = pyext.Buffer(args[1])

-    b = pyext.Buffer(args[2])

-

-    # this is also possible, but is probably slower

-    # the + converts a into a Python array, the argument b is taken as a sequence

-    # depending on the implementation this may be as fast

-    # as above or not

-    c[:] = a+b  

-

-def fadein(target):

-    a = pyext.Buffer(target)

-    # in place operations are ok

-    a *= arange(len(a),type=Float32)/len(a)

-

-def neg(target):

-    a = pyext.Buffer(target)

-    # in place transformation (see Python array ufuncs)

-    negative(a[:],a[:])

-    # must mark buffer content as dirty to update graph

-    # (no explicit assignment occurred)

-    a.dirty() 

+# 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 object's buffer support.
+
+PD/Max buffers can be mapped to Python arrays.
+Currently, there are three implementations:
+Numeric, numarray and Numeric3 (for all of them see http://numeric.scipy.org)
+"""
+
+import sys
+
+try:
+    import pyext
+except:
+    print "ERROR: This script must be loaded by the PD/Max py/pyext external"
+
+try:
+    from numarray import *
+except:
+    print "Failed importing numarray module:",sys.exc_value
+
+def mul(*args):
+    # create buffer objects
+    # as long as these variables live the underlying buffers are locked
+    c = pyext.Buffer(args[0])
+    a = pyext.Buffer(args[1])
+    b = pyext.Buffer(args[2])
+
+    # slicing causes Python arrays (mapped to buffers) to be created
+    # note the c[:] - to assign contents you must assign to a slice of the buffer
+    c[:] = a[:]*b[:]  
+
+def add(*args):
+    c = pyext.Buffer(args[0])
+    a = pyext.Buffer(args[1])
+    b = pyext.Buffer(args[2])
+
+    # this is also possible, but is probably slower
+    # the + converts a into a Python array, the argument b is taken as a sequence
+    # depending on the implementation this may be as fast
+    # as above or not
+    c[:] = a+b  
+
+def fadein(target):
+    a = pyext.Buffer(target)
+    # in place operations are ok
+    a *= arange(len(a),type=Float32)/len(a)
+
+def neg(target):
+    a = pyext.Buffer(target)
+    # in place transformation (see Python array ufuncs)
+    negative(a[:],a[:])
+    # must mark buffer content as dirty to update graph
+    # (no explicit assignment occurred)
+    a.dirty()