Re: [Numpy-discussion] Getting Callbacks with arrays to work

2010-01-14 Thread Jon Moore
Hi,

Thanks all works now!  The implicit none only didn't work when defining 
dv as a function now its a subroutine it seems to work.

Regards

Jon

On 12/01/2010 13:44, Pearu Peterson wrote:
 Hi,

 The problem is that f2py does not support callbacks that
 return arrays. There is easy workaround to that: provide
 returnable arrays as arguments to callback functions.
 Using your example:

 SUBROUTINE CallbackTest(dv,v0,Vout,N)
IMPLICIT NONE

!F2PY intent( hide ):: N
INTEGER:: N, ic
EXTERNAL:: dv

DOUBLE PRECISION, DIMENSION( N ), INTENT(IN):: v0
DOUBLE PRECISION, DIMENSION( N ), INTENT(OUT):: Vout

DOUBLE PRECISION, DIMENSION( N ):: Vnow
DOUBLE PRECISION, DIMENSION( N )::  temp

Vnow = v0
!f2py intent (out) temp
call dv(temp, Vnow, N)

DO ic = 1, N
   Vout( ic ) = temp(ic)
END DO

 END SUBROUTINE CallbackTest

 $ f2py -c test.f90 -m t --fcompiler=gnu95

 from numpy import *
 from t import *
 arr = array([2.0, 4.0, 6.0, 8.0])
 def dV(v):
  print 'in Python dV: V is: ',v
  ret = v.copy()
  ret[1] = 100.0
  return ret
 ...
 output = callbacktest(dV, arr)
 in Python dV: V is:  [ 2.  4.  6.  8.]
 output
 array([   2.,  100.,6.,8.])

 What problems do you have with implicit none? It works
 fine here. Check the format of your source code,
 if it is free then use `.f90` extension, not `.f`.

 HTH,
 Pearu

 Jon Moore wrote:
   Hi,

 I'm trying to build a differential equation integrator and later a
 stochastic differential equation integrator.

 I'm having trouble getting f2py to work where the callback itself
 receives an array from the Fortran routine does some work on it and then
 passes an array back.

 For the stoachastic integrator I'll need 2 callbacks both dealing with
 arrays.

 The idea is the code that never changes (ie the integrator) will be in
 Fortran and the code that changes (ie the callbacks defining
 differential equations) will be different for each problem.

 To test the idea I've written basic code which should pass an array back
 and forth between Python and Fortran if it works right.

 Here is some code which doesn't work properly:-

 SUBROUTINE CallbackTest(dv,v0,Vout,N)
  !IMPLICIT NONE

 cF2PY intent( hide ):: N
  INTEGER:: N, ic

  EXTERNAL:: dv

  DOUBLE PRECISION, DIMENSION( N ), INTENT(IN):: v0
  DOUBLE PRECISION, DIMENSION( N ), INTENT(OUT):: Vout

  DOUBLE PRECISION, DIMENSION( N ):: Vnow
  DOUBLE PRECISION, DIMENSION( N )::  temp

  Vnow = v0


  temp = dv(Vnow, N)

  DO ic = 1, N
  Vout( ic ) = temp(ic)
  END DO

 END SUBROUTINE CallbackTest



 When I test it with this python code I find the code just replicates the
 first term of the array!




 from numpy import *
 import callback as c

 def dV(v):
  print 'in Python dV: V is: ',v
  return v.copy()

 arr = array([2.0, 4.0, 6.0, 8.0])

 print 'Arr is: ', arr

 output = c.CallbackTest(dV, arr)

 print 'Out is: ', output




 Arr is:  [ 2.  4.  6.  8.]

 in Python dV: V is:  [ 2.  4.  6.  8.]

 Out is:  [ 2.  2.  2.  2.]



 Any ideas how I should do this, and also how do I get the code to work
 with implicit none not commented out?

 Thanks

 Jon



 

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[Numpy-discussion] Getting Callbacks with arrays to work

2010-01-12 Thread Jon Moore
Hi,

I'm trying to build a differential equation integrator and later a stochastic 
differential equation integrator.

I'm having trouble getting f2py to work where the callback itself receives an 
array from the Fortran routine does some work on it and then passes an array 
back.  

For the stoachastic integrator I'll need 2 callbacks both dealing with arrays.

The idea is the code that never changes (ie the integrator) will be in Fortran 
and the code that changes (ie the callbacks defining differential equations) 
will be different for each problem.

To test the idea I've written basic code which should pass an array back and 
forth between Python and Fortran if it works right.

Here is some code which doesn't work properly:-

SUBROUTINE CallbackTest(dv,v0,Vout,N)
    !IMPLICIT NONE
    
cF2PY intent( hide ):: N
    INTEGER:: N, ic
    
    EXTERNAL:: dv    

    DOUBLE PRECISION, DIMENSION( N ), INTENT(IN):: v0    
    DOUBLE PRECISION, DIMENSION( N ), INTENT(OUT):: Vout
    
    DOUBLE PRECISION, DIMENSION( N ):: Vnow
    DOUBLE PRECISION, DIMENSION( N )::  temp
    
    Vnow = v0
    

    temp = dv(Vnow, N)

    DO ic = 1, N
    Vout( ic ) = temp(ic)
    END DO    
    
END SUBROUTINE CallbackTest



When I test it with this python code I find the code just replicates the first 
term of the array!




from numpy import *
import callback as c

def dV(v):
    print 'in Python dV: V is: ',v
    return v.copy()    

arr = array([2.0, 4.0, 6.0, 8.0])

print 'Arr is: ', arr

output = c.CallbackTest(dV, arr)

print 'Out is: ', output




Arr is:  [ 2.  4.  6.  8.]

in Python dV: V is:  [ 2.  4.  6.  8.]

Out is:  [ 2.  2.  2.  2.]



Any ideas how I should do this, and also how do I get the code to work with 
implicit none not commented out?

Thanks

Jon


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