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!%f90 -*- f90 -*-
! Signatures for f2py-wrappers of ATLAS C LAPACK functions.
!
! Author: Pearu Peterson
! Created: Jan-Feb 2002
! $Revision: 905 $ $Date: 2003-11-27 07:28:01 -0800 (Thu, 27 Nov 2003) $
!
! Usage:
! f2py -c clapack.pyf -L/usr/local/lib/atlas -llapack -lf77blas -lcblas -latlas -lg2c
python module generic_clapack
interface
function <tchar=s,d,c,z>gesv(n,nrhs,a,piv,b,info,rowmajor)
! lu,piv,x,info = gesv(a,b,rowmajor=1,overwrite_a=0,overwrite_b=0)
! Solve A * X = B.
! A * P = L * U
! U is unit upper diagonal triangular, L is lower triangular,
! piv pivots columns.
fortranname clapack_<tchar=s,d,c,z>gesv
integer intent(c,hide) :: <tchar=s,d,c,z>gesv
callstatement <tchar=s,d,c,z>gesv_return_value = info = (*f2py_func)(102-rowmajor,n,nrhs,a,n,piv,b,n)
callprotoargument const int,const int,const int,<type_in_c>*,const int,int*,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer depend(a),intent(hide):: n = shape(a,0)
integer depend(b),intent(hide):: nrhs = shape(b,1)
<type_in> dimension(n,n),check(shape(a,0)==shape(a,1)) :: a
integer dimension(n),depend(n),intent(out) :: piv
<type_in> dimension(n,nrhs),check(shape(a,0)==shape(b,0)),depend(n) :: b
integer intent(out)::info
intent(in,out,copy,out=x) b
intent(c,in,out,copy,out=lu) a
end function <tchar=s,d,c,z>gesv
function <tchar=s,d,c,z>getrf(m,n,a,piv,info,rowmajor)
! lu,piv,info = getrf(a,rowmajor=1,overwrite_a=0)
! Compute an LU factorization of a general M-by-N matrix A.
! A * P = L * U
threadsafe
fortranname clapack_<tchar=s,d,c,z>getrf
integer intent(c,hide) :: <tchar=s,d,c,z>getrf
callstatement <tchar=s,d,c,z>getrf_return_value = info = (*f2py_func)(102-rowmajor,m,n,a,(rowmajor?n:m),piv)
callprotoargument const int,const int,const int,<type_in_c>*,const int,int*
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer depend(a),intent(hide):: m = shape(a,0)
integer depend(a),intent(hide):: n = shape(a,1)
<type_in> dimension(m,n),intent(c,in,out,copy,out=lu) :: a
integer dimension((m<n?m:n)),depend(m,n),intent(out) :: piv
integer intent(out):: info
end function <tchar=s,d,c,z>getrf
function <tchar=s,d,c,z>getrs(n,nrhs,lu,piv,b,info,trans,rowmajor)
! x,info = getrs(lu,piv,b,trans=0,rowmajor=1,overwrite_b=0)
! Solve A * X = B if trans=0
! Solve A^T * X = B if trans=1
! Solve A^H * X = B if trans=2
! A * P = L * U
fortranname clapack_<tchar=s,d,c,z>getrs
integer intent(c,hide) :: <tchar=s,d,c,z>getrs
callstatement <tchar=s,d,c,z>getrs_return_value = info = (*f2py_func)(102-rowmajor,111+trans,n,nrhs,lu,n,piv,b,n)
callprotoargument const int,const int,const int,const int,<type_in_c>*,const int,int*,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer optional,intent(in),check(trans>=0 && trans <=2) :: trans = 0
integer depend(lu),intent(hide):: n = shape(lu,0)
integer depend(b),intent(hide):: nrhs = shape(b,1)
<type_in> dimension(n,n),intent(c,in) :: lu
check(shape(lu,0)==shape(lu,1)) :: lu
integer dimension(n),intent(in),depend(n) :: piv
<type_in> dimension(n,nrhs),intent(in,out,copy,out=x),depend(n),check(shape(lu,0)==shape(b,0)) :: b
integer intent(out):: info
end function <tchar=s,d,c,z>getrs
function <tchar=s,d,c,z>getri(n,lu,piv,info,rowmajor)
! inv_a,info = getri(lu,piv,rowmajor=1,overwrite_lu=0)
! Find A inverse A^-1.
! A * P = L * U
fortranname clapack_<tchar=s,d,c,z>getri
integer intent(c,hide) :: <tchar=s,d,c,z>getri
callstatement <tchar=s,d,c,z>getri_return_value = info = (*f2py_func)(102-rowmajor,n,lu,n,piv)
callprotoargument const int,const int,<type_in_c>*,const int,const int*
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer depend(lu),intent(hide):: n = shape(lu,0)
<type_in> dimension(n,n),intent(c,in,out,copy,out=inv_a) :: lu
check(shape(lu,0)==shape(lu,1)) :: lu
integer dimension(n),intent(in),depend(n) :: piv
integer intent(out):: info
end function <tchar=s,d,c,z>getri
function <tchar=s,d,c,z>posv(n,nrhs,a,b,info,lower,rowmajor)
! c,x,info = posv(a,b,lower=0,rowmajor=1,overwrite_a=0,overwrite_b=0)
! Solve A * X = B.
! A is symmetric positive defined
! A = U^T * U, C = U if lower = 0
! A = L * L^T, C = L if lower = 1
! C is triangular matrix of the corresponding Cholesky decomposition.
fortranname clapack_<tchar=s,d,c,z>posv
integer intent(c,hide) :: <tchar=s,d,c,z>posv
callstatement <tchar=s,d,c,z>posv_return_value = info = (*f2py_func)(102-rowmajor,121+lower,n,nrhs,a,n,b,n)
callprotoargument const int,const int,const int,const int,<type_in_c>*,const int,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer optional,intent(in),check(lower==0||lower==1) :: lower = 0
integer depend(a),intent(hide):: n = shape(a,0)
integer depend(b),intent(hide):: nrhs = shape(b,1)
<type_in> dimension(n,n),intent(c,in,out,copy,out=c) :: a
check(shape(a,0)==shape(a,1)) :: a
<type_in> dimension(n,nrhs),intent(in,out,copy,out=x),depend(n):: b
check(shape(a,0)==shape(b,0)) :: b
integer intent(out) :: info
end function <tchar=s,d,c,z>posv
function <tchar=s,d>potrf(n,a,info,lower,clean,rowmajor)
! c,info = potrf(a,lower=0,clean=1,rowmajor=1,overwrite_a=0)
! Compute Cholesky decomposition of symmetric positive defined matrix:
! A = U^T * U, C = U if lower = 0
! A = L * L^T, C = L if lower = 1
! C is triangular matrix of the corresponding Cholesky decomposition.
! clean==1 zeros strictly lower or upper parts of U or L, respectively
fortranname clapack_<tchar=s,d>potrf
integer intent(c,hide) :: <tchar=s,d>potrf
callstatement <tchar=s,d>potrf_return_value = info = (*f2py_func)(102-rowmajor,121+lower,n,a,n); if(clean){int i,j;if(lower){for(i=0;i<n;++i) for(j=i+1;j<n;++j) *(a+i*n+j)=0.0;} else {for(i=0;i<n;++i) for(j=i+1;j<n;++j) *(a+j*n+i)=0.0;}}
callprotoargument const int,const int,const int,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer optional,intent(in),check(lower==0||lower==1) :: lower = 0
integer optional,intent(in),check(clean==0||clean==1) :: clean = 1
integer depend(a),intent(hide):: n = shape(a,0)
<type_in> dimension(n,n),intent(c,in,out,copy,out=c) :: a
check(shape(a,0)==shape(a,1)) :: a
integer intent(out) :: info
end function <tchar=s,d>potrf
function <tchar=c,z>potrf(n,a,info,lower,clean,rowmajor)
! c,info = potrf(a,lower=0,clean=1,rowmajor=1,overwrite_a=0)
! Compute Cholesky decomposition of symmetric positive defined matrix:
! A = U^H * U, C = U if lower = 0
! A = L * L^H, C = L if lower = 1
! C is triangular matrix of the corresponding Cholesky decomposition.
! clean==1 zeros strictly lower or upper parts of U or L, respectively
fortranname clapack_<tchar=c,z>potrf
integer intent(c,hide) :: <tchar=c,z>potrf
callstatement <tchar=c,z>potrf_return_value = info = (*f2py_func)(102-rowmajor,121+lower,n,a,n); if(clean){int i,j,k;if(lower){for(i=0;i<n;++i) for(j=i+1;j<n;++j) {k=i*n+j;(a+k)->r=(a+k)->i=0.0;}} else {for(i=0;i<n;++i) for(j=i+1;j<n;++j) {k=j*n+i;(a+k)->r=(a+k)->i=0.0;}}}
callprotoargument const int,const int,const int,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer optional,intent(in),check(lower==0||lower==1) :: lower = 0
integer optional,intent(in),check(clean==0||clean==1) :: clean = 1
integer depend(a),intent(hide):: n = shape(a,0)
<type_in> dimension(n,n),intent(c,in,out,copy,out=c) :: a
check(shape(a,0)==shape(a,1)) :: a
integer intent(out) :: info
end function <tchar=c,z>potrf
function <tchar=s,d,c,z>potrs(n,nrhs,c,b,info,lower,rowmajor)
! x,info = potrs(c,b,lower=0,rowmajor=1,overwrite_b=0)
! Solve A * X = b.
! A is symmetric positive defined
! A = U^T * U, C = U if lower = 0
! A = L * L^T, C = L if lower = 1
! C is triangular matrix of the corresponding Cholesky decomposition.
fortranname clapack_<tchar=s,d,c,z>potrs
integer intent(c,hide) :: <tchar=s,d,c,z>potrs
callstatement <tchar=s,d,c,z>potrs_return_value = info = (*f2py_func)(102-rowmajor,121+lower,n,nrhs,c,n,b,n)
callprotoargument const int,const int,const int,const int,<type_in_c>*,const int,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer optional,intent(in),check(lower==0||lower==1) :: lower = 0
integer depend(c),intent(hide):: n = shape(c,0)
integer depend(b),intent(hide):: nrhs = shape(b,1)
<type_in> dimension(n,n),intent(c,in) :: c
check(shape(c,0)==shape(c,1)) :: c
<type_in> dimension(n,nrhs),intent(in,out,copy,out=x),depend(n):: b
check(shape(c,0)==shape(b,0)) :: b
integer intent(out) :: info
end function <tchar=s,d,c,z>potrs
function <tchar=s,d,c,z>potri(n,c,info,lower,rowmajor)
! inv_a,info = potri(c,lower=0,rowmajor=1,overwrite_c=0)
! Compute A inverse A^-1.
! A = U^T * U, C = U if lower = 0
! A = L * L^T, C = L if lower = 1
! C is triangular matrix of the corresponding Cholesky decomposition.
fortranname clapack_<tchar=s,d,c,z>potri
integer intent(c,hide) :: <tchar=s,d,c,z>potri
callstatement <tchar=s,d,c,z>potri_return_value = info = (*f2py_func)(102-rowmajor,121+lower,n,c,n)
callprotoargument const int,const int,const int,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer optional,intent(in),check(lower==0||lower==1) :: lower = 0
integer depend(c),intent(hide):: n = shape(c,0)
<type_in> dimension(n,n),intent(c,in,out,copy,out=inv_a) :: c
check(shape(c,0)==shape(c,1)) :: c
integer intent(out) :: info
end function <tchar=s,d,c,z>potri
function <tchar=s,d,c,z>lauum(n,c,info,lower,rowmajor)
! a,info = lauum(c,lower=0,rowmajor=1,overwrite_c=0)
! Compute product
! U^T * U, C = U if lower = 0
! L * L^T, C = L if lower = 1
! C is triangular matrix of the corresponding Cholesky decomposition.
fortranname clapack_<tchar=s,d,c,z>lauum
integer intent(c,hide) :: <tchar=s,d,c,z>lauum
callstatement <tchar=s,d,c,z>lauum_return_value = info = (*f2py_func)(102-rowmajor,121+lower,n,c,n)
callprotoargument const int,const int,const int,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer optional,intent(in),check(lower==0||lower==1) :: lower = 0
integer depend(c),intent(hide):: n = shape(c,0)
<type_in> dimension(n,n),intent(c,in,out,copy,out=a) :: c
check(shape(c,0)==shape(c,1)) :: c
integer intent(out) :: info
end function <tchar=s,d,c,z>lauum
function <tchar=s,d,c,z>trtri(n,c,info,lower,unitdiag,rowmajor)
! inv_c,info = trtri(c,lower=0,unitdiag=0,rowmajor=1,overwrite_c=0)
! Compute C inverse C^-1 where
! C = U if lower = 0
! C = L if lower = 1
! C is non-unit triangular matrix if unitdiag = 0
! C is unit triangular matrix if unitdiag = 1
fortranname clapack_<tchar=s,d,c,z>trtri
integer intent(c,hide) :: <tchar=s,d,c,z>trtri
callstatement <tchar=s,d,c,z>trtri_return_value = info = (*f2py_func)(102-rowmajor,121+lower,131+unitdiag,n,c,n)
callprotoargument const int,const int,const int,const int,<type_in_c>*,const int
integer optional,intent(in),check(rowmajor==1||rowmajor==0) :: rowmajor = 1
integer optional,intent(in),check(lower==0||lower==1) :: lower = 0
integer optional,intent(in),check(unitdiag==0||unitdiag==1) :: unitdiag = 0
integer depend(c),intent(hide):: n = shape(c,0)
<type_in> dimension(n,n),intent(c,in,out,copy,out=inv_c) :: c
check(shape(c,0)==shape(c,1)) :: c
integer intent(out) :: info
end function <tchar=s,d,c,z>trtri
end interface
end python module generic_clapack
! This file was auto-generated with f2py (version:2.10.173).
! See http://cens.ioc.ee/projects/f2py2e/
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