interface boilerplate

[John Hunter]

In matplotlib, a plotting library with an OO API and a matlab-like
procedural interface, I have a lot of functions defined in the matlab
interface module that wrap similarly named class methods defined in
the Axes class of the axes module. Eg, the Axes class defines a plot
method and the matlab interface defines a plot function that gets the
current Axes instance, calls the plot method on that instance, and
does some error handling. Here is the matlab interface wrapper (gca()
returns the current Axes instance)

def plot(*args, **kwargs):
try:
ret = gca().plot(*arg s, **kwargs)
except ValueError, msg:
msg = raise_msg_to_st r(msg)
error_msg(msg)
else:
draw_if_interac tive()
return ret
plot.__doc__ = Axes.plot.__doc __

This is mostly boilerplate code that a lot of matlab interface
functions use, and I'd like to automatically generate it.

This appears to (mostly) work

def _wrap_axfunc(na me):
def wrapper(*args, **kwargs):
try:
func = getattr(gca(), name)
ret = func(*args, **kwargs)
except ValueError, msg:
msg = raise_msg_to_st r(msg)
error_msg(msg)
else:
draw_if_interac tive()
return ret
wrapper.__doc__ = getattr(Axes, name).__doc__
#wrapper.__name __ = name
return wrapper

plot = _wrap_axfunc('p lot')

The only problem I've seen so far is that the name of the function in
pydoc string is 'wrapper', and I want it to appear as "plot". I tried
setting the __name__ attribute, but it is read only.

Any suggestions on how to best define these matlab interface functions
by automatically wrapping the Axes instance functions? I'd like to
support python2.2 so python2.2 compliant solutions especially welcome.

JDH

[Alex Martelli]

John Hunter <jd******@ace.b sd.uchicago.edu > wrote:
...

The only problem I've seen so far is that the name of the function in
pydoc string is 'wrapper', and I want it to appear as "plot". I tried
setting the __name__ attribute, but it is read only.
Yes, a 2.3 problem, solved in 2.4.
Any suggestions on how to best define these matlab interface functions
by automatically wrapping the Axes instance functions? I'd like to
support python2.2 so python2.2 compliant solutions especially welcome.

Then I guess upgrading to 2.4 is out of the question.

To make a function just like another but with a different name:

def changed_name_fu nction(f, newname):
import new
return new.function(f. func_code, f.func_globals, newname,
f.func_defaults , f.func_closure)

I believe this should work in 2.2 as well (not tested).
Alex

[John Hunter]

>>>>> "Alex" == Alex Martelli <al*****@yahoo. com> writes:

Alex> To make a function just like another but with a different
Alex> name:

Alex> def changed_name_fu nction(f, newname): import new return
Alex> new.function(f. func_code, f.func_globals, newname,
Alex> f.func_defaults , f.func_closure)

Alex> I believe this should work in 2.2 as well (not tested).

I tested this - the signature of new.function in 2.2 is a bit
different

function(...)
Create a function object from (CODE, GLOBALS, [NAME [, ARGDEFS]]).

so it doesn't take the 5 arg version posted.

I am having a little trouble figuring out how to handle the call
signature for 2.2. I tried this modification (matplotlib._py thon23 is
a flag that returns True iff python version >=2.3
def changed_name_fu nction(f, newname):
import new
if matplotlib._pyt hon23:
newf = new.function(f. func_code, f.func_globals, newname,
f.func_defaults , f.func_closure)
else:
if f.func_defaults is None:
argdefs = ()
else:
argdefs = f.func_defaults
newf = new.function(f. func_code, f.func_globals, newname,
argdefs)

newf.__doc__ = f.__doc__
return newf

I added the None check on f.func_defaults because I was getting the
error

TypeError: function() argument 4 must be tuple, not None

But this does not appear to be right either because I get a segfault
:-( Note that the suggestion works as advertised for python2.3.

Any ideas?

Thanks,
John Hunter

[Alex Martelli]

John Hunter <jd******@ace.b sd.uchicago.edu > wrote:

>> "Alex" == Alex Martelli <al*****@yahoo. com> writes:

Alex> To make a function just like another but with a different
Alex> name:

Alex> def changed_name_fu nction(f, newname): import new return
Alex> new.function(f. func_code, f.func_globals, newname,
Alex> f.func_defaults , f.func_closure)

Alex> I believe this should work in 2.2 as well (not tested).

I tested this - the signature of new.function in 2.2 is a bit
different

function(...)
Create a function object from (CODE, GLOBALS, [NAME [, ARGDEFS]]).

so it doesn't take the 5 arg version posted.

Ah, it didn't take a closure. Could be quite a problem...
I am having a little trouble figuring out how to handle the call
signature for 2.2. I tried this modification (matplotlib._py thon23 is
a flag that returns True iff python version >=2.3
def changed_name_fu nction(f, newname):
import new
if matplotlib._pyt hon23:
newf = new.function(f. func_code, f.func_globals, newname,
f.func_defaults , f.func_closure)
else:
if f.func_defaults is None:
argdefs = ()
else:
argdefs = f.func_defaults
newf = new.function(f. func_code, f.func_globals, newname,
argdefs)

newf.__doc__ = f.__doc__
return newf

I added the None check on f.func_defaults because I was getting the
error

TypeError: function() argument 4 must be tuple, not None

But this does not appear to be right either because I get a segfault
:-( Note that the suggestion works as advertised for python2.3.

Any ideas?

Supporting old versions is never going to be easy -- I don't even have a
2.2 installation around to do such tests, any more. Perhaps for
versions < 2.3 you could simply degrade gracefully to perform no
renaming (and for versions >= 2.4 do the renaming the right way, by
assigning to f.func_name and returning f)... those who choose to stick
with 2.2 will just have to account that as one of the many limitations
and slow-downs their choice buys them...
Alex

[John Hunter]

>>>>> "Alex" == Alex Martelli <al*****@yahoo. com> writes:

Alex> Supporting old versions is never going to be easy -- I don't
Alex> even have a 2.2 installation around to do such tests, any
Alex> more. Perhaps for versions < 2.3 you could simply degrade
Alex> gracefully to perform no renaming (and for versions >= 2.4
Alex> do the renaming the right way, by assigning to f.func_name
Alex> and returning f)... those who choose to stick with 2.2 will
Alex> just have to account that as one of the many limitations and
Alex> slow-downs their choice buys them...

It is a pain -- for a fair number of linux boxes, though, 2.2 is still
the default. Perhaps a better alternative for 2.2 is to simply fall back on
exec

__fmt = """\
def %(name)s(*args, **kwargs):
try:
ret = gca().%(name)s( *args, **kwargs)
except ValueError, msg:
msg = raise_msg_to_st r(msg)
error_msg(msg)
else:
draw_if_interac tive()
return ret
%(name)s.__doc_ _ = Axes.%(name)s._ _doc__
"""

for name in _methods:
exec(__fmt%{'na me':name})
JDH