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I have some routines written in fortran that I'd like to use in my python code. A quick websearch informed me about f2py, and I gave it a try. Using

 f2py -c numericalMethods.f -m numericalMethods

it seems to work for a while until a lot of errors are spawn during the conversion. Any idea of why the following bit of code fails to work with f2py?

  SUBROUTINE n_bezier(t, nx2, BezX, BezY)
  PARAMETER (N_SEG=130)
  PARAMETER (nmax=130)
  DOUBLE PRECISION t(nmax)
  DOUBLE PRECISION nx2(nmax)
  DOUBLE PRECISION BezX(N_SEG), BezY(N_SEG)
  DOUBLE PRECISION coeff(nmax)
  INTEGER i, j
  DOUBLE PRECISION r,fact


  do i = 1, N_SEG
    r = real(i) / real(N_SEG)
    BezX(i) = 0 
    BezY(i) = 0
    do j=1,nmax 
        coeff(j) = BICO(nmax,j) *
 .                 (1-r)**(nmax-j) * r**j
        print*, 'coeff for j= ', j, ' --> ', coeff(j) 
    if(coeff(j).ne.0) then
            BezX(i) = BezX(i) + coeff(j)*t(j)
            BezY(i) = BezY(i) + coeff(j)*nx2(j)
        endif
    enddo
  enddo  
  END

  function fact(n)
  INTEGER n, p
  DOUBLE PRECISION fact
     p = 1
     do i = 1, n
        p = p * i
     end do
     fact = p
  end

  FUNCTION BICO(N,K)
  BICO=ANINT(EXP(FACTLN(N)-FACTLN(K)-FACTLN(N-K)))
  RETURN
  END

  FUNCTION FACTLN(N)
  DIMENSION A(100)
  DATA A/100*-1./
  IF (N.LT.0) PAUSE 'negative factorial'
  IF (N.LE.99) THEN
    IF (A(N+1).LT.0.)  A(N+1)=GAMMLN(N+1.)
    FACTLN=A(N+1)
  ELSE
    FACTLN=GAMMLN(N+1.)
  ENDIF
  RETURN
  END


  FUNCTION GAMMLN(XX)
  REAL*8 COF(6),STP,HALF,ONE,FPF,X,TMP,SER
  DATA COF,STP/76.18009173D0,-86.50532033D0,24.01409822D0,
 .     -1.231739516D0,.120858003D-2,-.536382D-5,2.50662827465D0/
  DATA HALF,ONE,FPF/0.5D0,1.0D0,5.5D0/
  X=XX-ONE
  TMP=X+FPF
  TMP=(X+HALF)*LOG(TMP)-TMP
  SER=ONE
  DO 11 J=1,6
      X=X+ONE
      SER=SER+COF(J)/X
  11    CONTINUE
  GAMMLN=TMP+LOG(STP*SER)
  RETURN
  END

EDIT : Here is the log file containing the errors.