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matutils.F90
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matutils.F90
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!!! $Id: matutils.F90,v 1.49 2017/08/10 07:18:33 mjlaine Exp $
!!! ------------------------------------------------------------------------
!!! this file is part of mcmc library
!!! File: matutils.F90
!!! Purpose: utility subroutines for the mcmc module
!!! matrix utilities
!!! error messages
!!! allocate utils
!!! file load and save
!!!
!!! Calls BLAS and LAPACK for matrix and vector operations, and
!!! auxiliary files dchud.f dchdd.f (from LINPACK) for Cholesky
!!! up/downdate
!!!
!!! Marko Laine 2001 <marko.laine@fmi.fi>
!!! Copyrights licensed under a MIT License.
!!! See the accompanying LICENSE.txt file for terms.
!!!
module matutils
!#define EPPES 1 ! uncomment this if compiling the EPPES version
#define FILEUNIT 1234
use mcmcprec ! precision and machine constants
implicit none
character(len=*), parameter :: utils_version="$Revision: 1.49 $ Compiled: "//__DATE__
include 'lapack_inc.h'
interface writedata
module procedure writedata_mat, writedata_vec, writedata_scal
end interface
interface readdata
module procedure readdata_vec, readdata_mat, readdata_n, readdata_x
end interface
interface reallocate
module procedure reallocate_rv, reallocate_rm
end interface
interface loaddata
module procedure loaddata_mat, loaddata_vec, loaddata_x, &
loaddata_int, loaddata_ints
end interface
interface loaddata2
module procedure loaddata_mata, loaddata_veca
end interface
interface printmat
module procedure printmat_mat, printmat_vec, printmat_ivec
end interface
!!! A problem with output format here, the old G20.11 produces numbers like 0.12323200000-100
!!! with missing "E" is 3 numbers in the exponent, on th eother hand some older gfortran (4.3.4)
!!! does not allow for G0
#ifdef __GFORTRAN__
character(len=*), parameter :: gfrmstr = 'G0'
#else
character(len=*), parameter :: gfrmstr = 'G0'
#endif
character(len=526), save :: msgbuff
integer, save :: UtilInfoLevel = 0
integer, save :: UtilErrorLevel = 0
integer, parameter :: InfoLevelMinimal = 0
integer, parameter :: InfoLevelDebug = 2
integer, parameter :: InfoLevelInformational = 3
private :: gfrmstr, UtilInfoLevel, UtilErrorLevel, msgbuff
contains
!!! we need these matrix multiplication utilities to use the Cholesky
!!! factor provided by LAPACK routine, where C=R'R, R upper diagonal
!!! and the lower diagonal entries are arbitrary.
!!! TODO: general matmulu(A,B, trans) for AB A'B and AX, also need A'BA
!!! with B matrix or vector
!!!
!!! vector matrix multiplication
!!! p = x'*v (default) or p = x*v , x upper diagonal
!!!
function matmulu(x,v, trans) result(p)
implicit none
real(kind=dbl), intent(in) :: v(:)
real(kind=dbl), intent(in) :: x(:,:)
character(len=1), intent(in), optional :: trans
real(kind=dbl), dimension(size(v)) :: p
integer :: n,m
character(len=1) t
t = 'T'
if (present(trans)) then
if (trans == 'T' .or. trans == 't') then
t=trans
else
t='n'
end if
end if
n = size(v,1)
m = size(x,1)
if (n .ne. m) then
stop 'matmulu: incorrect dimensions'
end if
call dcopy(n,v,1,p,1) ! copy v to p p = v
call dtrmv('u',t,'n',n,x,n,p,1)
end function matmulu
!!!
!!! same but with lower diagonal x
!!!
function matmull(x,v) result(p)
implicit none
real(kind=dbl), intent(in) :: v(:)
real(kind=dbl), intent(in) :: x(:,:)
real(kind=dbl), dimension(size(v)) :: p
integer :: n,m
n = size(v,1)
m = size(x,1)
if (n .ne. m) then
stop 'matmull: incorrect dimensions'
end if
! call dsymv('l',n,1.0d0,x,n,v,1,0.0d0,p,1)
call dcopy(n,v,1,p,1) ! copy v to p p = v
call dtrmv('l','n','n',n,x,n,p,1)
end function matmull
!!!
!!! same but with general x (n * n)
!!! p = x*v (default) or x = x'*v
!!!
function matmulx(x,v, trans) result(p)
implicit none
real(kind=dbl), intent(in) :: v(:)
real(kind=dbl), intent(in) :: x(:,:)
character(len=1), intent(in), optional :: trans
real(kind=dbl), dimension(size(v)) :: p
integer :: n,m
character(len=1) t
t = 'N'
if (present(trans)) then
if (trans == 'T' .or. trans == 't') then
t=trans
else
t='n'
end if
end if
n = size(v,1)
m = size(x,1)
if (n .ne. m) then
stop 'matmulx: incorrect dimensions'
end if
call dgemv(t,n,n,1.0d0,x,n,v,1,0.0d0,p,1)
end function matmulx
!!!
!!! vector matrix multiplication
!!! p = x*v, x symmetric, using upper part
!!!
function matmuls(x,v) result(p)
implicit none
real(kind=dbl), intent(in) :: v(:)
real(kind=dbl), intent(in) :: x(:,:)
real(kind=dbl), dimension(size(v)) :: p
integer :: n,m
n = size(v,1)
m = size(x,1)
if (n .ne. m) then
stop 'matmuls: incorrect dimensions'
end if
call dsymv('u',n,1.0d0,x,n,v,1,0.0d0,p,1)
end function matmuls
!!!
!!! matrix matrix multiplication
!!! p = x*y, x upper diagonal, using upper part
!!!
!!!!! DO NOT USE YET !!!!
function matmulxy(x,y,side0,trans0) result(p)
implicit none
real(kind=dbl), intent(in) :: y(:,:)
real(kind=dbl), intent(in) :: x(:,:)
character(len=1), intent(in), optional :: side0, trans0
real(kind=dbl), dimension(size(x,1),size(y,2)) :: p
integer :: mx,nx,my,ny
character(len=1) side, trans
side = 'L'
if (present(side0)) then
if (side0 == 'R' .or. side0 == 'r') then
side=side0
end if
end if
trans = 'n'
if (present(trans0)) then
if (trans0 == 'T' .or. trans0 == 't') then
trans=trans0
end if
end if
mx = size(x,1)
nx = size(x,2)
my = size(y,1)
ny = size(y,2)
if (nx .ne. my) then
stop 'matmulxy: incorrect dimensions'
end if
! call dsymm(side,'u',mx,ny,1.0d0,x,mx,y,my,0.0d0,p,mx)
! ( SIDE, UPLO, M, N, ALPHA, A, LDA, B, LDB, BETA, C, LDC )
p = y
call dtrmm(side,'u',trans,'n',my,ny,1.0d0,x,mx,p,my)
!( SIDE, UPLO, TRANSA, DIAG, M, N, ALPHA, A, LDA, B, LDB )
end function matmulxy
!!!
!!! calculates covariance matrix of x,
!!! with optional (frequency) weights in w,
!!! returns cmat and optionally mean and sum of weights in xmean and wsum
!!! updates cmat, cmean and wsum, if update=.true. and wsum>0
!!!
subroutine covmat(x, cmat, w, xmean, wsum, update)
implicit none
real(kind=dbl), intent(in) :: x(:,:)
real(kind=dbl), intent(inout) :: cmat(:,:)
real(kind=dbl), intent(in), optional :: w(:)
real(kind=dbl), intent(inout), optional :: xmean(size(cmat,2))
real(kind=dbl), intent(inout), optional :: wsum
logical, intent(in), optional :: update
! local variables
real(kind=dbl) :: xmean2(size(cmat,2))
integer :: n,p,i,j
real(kind=dbl) :: wsum2, w2, w3
logical :: doupdate
n=size(x,1)
p=size(x,2)
if (size(cmat,1) /= p .or. size(cmat,2) /= p) then
stop 'covmat: invalid cmat'
end if
!! optional weight in w
if (present(w) .and. size(w) == n) then
w2 = -1.0e0_dbl
wsum2 = sum(w)
else if (present(w) .and. size(w) == 1) then
w2 = w(1)
wsum2 = dble(n)*w2
else if (.not. present(w)) then
w2 = 1.0e0_dbl
wsum2 = dble(n)
else
stop 'covmat: invalid weight in w'
end if
!! update
doupdate=.false.
if (present(update) .and. present(wsum)) then
if (update .and. (wsum > 0.0_dbl)) then
doupdate=.true.
if (.not. present(xmean)) then
stop 'invalid input in covmat'
end if
else
doupdate=.false.
end if
end if
if (doupdate) then
!! covariance and mean update
!! one line update at a time
do i=1,n
xmean2 = x(i,:)-xmean ! center x and store it in xmean2
if (w2 == -1.0e0_dbl) then
w3 = w(i)
else
w3 = w2
end if
! cmat = cmat + w3/(wsum+w3-1.0d0) &
! * (wsum/(wsum+w3) &
! * matmul(reshape(xmean2,(/p,1/)), &
! reshape(xmean2,(/1,p/))) &
! - cmat)
!! new version, as matmul(reshape(x,(/p,1/)),reshape(x,(/1,p/)))
!! seems to generate run time error in gfortran 8.1.0
cmat = cmat + w3/(wsum+w3-1.0d0) &
* (wsum/(wsum+w3) &
* outer_product(xmean2,xmean2) &
- cmat)
!! or simplify to this (needs test)
! cmat = (wsum-1.0d0)/(w3+wsum-1.0d0)*cmat + &
! w3*wsum/(w3+wsum-1.0d0)/(w3+wsum) &
! * matmul(reshape(xmean2,(/p,1/)), &
! reshape(xmean2,(/1,p/)))
xmean = xmean + w3/(wsum+w3)*xmean2
wsum = w3 + wsum
end do
else !!! no update
do i=1,p
if (w2 == -1.0e0_dbl) then
xmean2(i) = sum(x(:,i)*w)/wsum2
else
xmean2(i) = sum(x(:,i)*w2)/wsum2
end if
end do
do i=1,p
do j=1,i
if ( w2 == -1.0e0_dbl ) then
cmat(i,j) = dot_product( (x(:,i)-xmean2(i)), &
(x(:,j)-xmean2(j))*w) / (wsum2 - 1.0_dbl)
else
cmat(i,j) = dot_product( (x(:,i)-xmean2(i)), &
(x(:,j)-xmean2(j))*w2) / (wsum2 - 1.0_dbl)
end if
if (i/=j) cmat(j,i) = cmat(i,j)
end do
end do
if (present(xmean)) then
xmean=xmean2
end if
if (present(wsum)) then
wsum=wsum2
end if
end if ! update
end subroutine covmat
!!!
!!! Calculates upper diagonal Cholesky transformation
!!! of symmetric matrix 'cmat'
subroutine covtor(cmat,R,info)
implicit none
real(kind=dbl) :: cmat(:,:)
real(kind=dbl), optional :: R(:,:)
integer, intent(out), optional :: info
integer :: info2, n
n = size(cmat,1)
if (size(cmat,2) /= n) then
stop 'size error in covtor'
end if
if (present(R)) then
if (size(R,1) /= n .or. size(R,1) /= size(R,2)) then
stop 'size error in R in covtor'
end if
R = cmat
call dpotrf('u',n,R,n,info2)
else
call dpotrf('u',n,cmat,n,info2)
end if
if (present(info)) then
info=info2
else if (info2 .ne. 0) then
stop 'error in Chol'
end if
end subroutine covtor
!!!
!!! test for svd sqrt
!!!
subroutine covtor_svd(cmat,R,condmax,info)
implicit none
real(kind=dbl) :: cmat(:,:)
real(kind=dbl) :: R(:,:)
real(kind=dbl), intent(in) :: condmax
integer, intent(out), optional :: info
integer :: info2, n, i
real(kind=dbl), allocatable :: work(:)
real(kind=dbl), allocatable :: u(:,:), s(:)
integer :: lwork
real(kind=dbl) :: tol, cond
n = size(cmat,1)
if (size(cmat,2) /= n) then
stop 'size error in covtor'
end if
lwork = 5*n
allocate(work(lwork),u(n,n),s(n), stat=info2)
if (info2 /= 0) then
stop 'memory allocation in svd'
end if
if (size(R,1) /= n .or. size(R,1) /= size(R,2)) then
stop 'size error in R in covtor'
end if
R = cmat
!!! call dgesvd(jobu,jobvt,m,n,a,lda,s,u,ldu,vt,ldvt,work,lwork,info)
call dgesvd('A','N',n,n,R,n,s,u,n,u,n,work,lwork,info2)
! write(*,*) 'S : ', real(s(max(1,n-3):n))
if (s(1) == 0.0d0) then
write(*,*) 'SVD: s(1)=0'
if (present(info)) then
info=n
end if
return
end if
if (info2 > 0) then
write(*,*) 'svd info = ', info2
end if
tol = dble(n)*s(1)*2.2204d-16 !!!! check
tol = dble(n)*s(1)*1.0d-6
cond = condmax
tol = s(1)/cond
if (s(n) <= tol) then
write(*,*) 'adjusting svd, tol:',real(tol)
do i=1,n
if (s(i) < tol) then
s(i) = tol
end if
end do
info2 = -1
end if
! R = u*sqrt(s)
R = u
!! scale R so that R'*R = cmat (or R*R' check!)
!! for scam we would need to have the unscaled version!
do i=1,n
!!! R(1:n,i) = sqrt(s(i))*R(1:n,i)
call dscal(n,sqrt(s(i)),R(1:n,i),1)
end do
if (present(info)) then
info=info2
else if (info2 < 0 .or. info2 > n-2) then
write(*,*) 'svd info = ', info2, ' Stopping'
stop
end if
deallocate(work,u,s)
end subroutine covtor_svd
!!!
!!! invert symmetric matrix using Cholesky decomposition
!!!
function invertmat_sym(x,info0) result(y)
implicit none
real(kind=dbl), intent(in) :: x(:,:)
integer, optional, intent(inout) :: info0
real(kind=dbl) :: y(size(x,1),size(x,2))
integer(kind=ik4) :: npar, info
npar = size(x,1)
if (npar .ne. size(x,2)) then
write(*,*) 'ERROR: x must be square'
stop
end if
y = x
call dpotrf('u',npar,y,npar,info)
if (info .ne. 0) then
if (present(info0)) then
info0 = info
return
else
write(*,*) 'ERROR: cannot factor cmat, info = ', info
stop
end if
end if
call dpotri('u',npar,y,npar,info)
if (info .ne. 0) then
if (present(info0)) then
info0 = info
return
else
write(*,*) 'ERROR: cannot invert cmat, info = ', info
stop
end if
end if
!! fill the lower diagonal with the upper
call copylower(y)
if (present(info0)) info0=0
end function invertmat_sym
!!!
!!! invert symmetric matrix using dsyrti
!!!
function invertmat_sym2(x,info0) result(y)
implicit none
real(kind=dbl), intent(in) :: x(:,:)
integer, optional, intent(inout) :: info0
real(kind=dbl) :: y(size(x,1),size(x,2))
real(kind=dbl) :: work0(1)
real(kind=dbl),allocatable :: work(:)
integer :: ipiv(size(x,1))
integer(kind=ik4) :: npar, lwork, info
npar = size(x,1)
if (npar .ne. size(x,2)) then
write(*,*) 'ERROR: x must be square'
stop
end if
y = x
! call dpotrf('u',npar,y,npar,info)
call dsytrf('u', npar, y, npar, ipiv, work0, -1, info)
lwork = max(npar,int(work0(1)))
allocate(work(lwork))
call dsytrf('u', npar, y, npar, ipiv, work, lwork, info)
if (info .ne. 0) then
if (present(info0)) then
info0 = info
deallocate(work)
return
else
write(*,*) 'ERROR: cannot factor cmat, info = ', info
stop
end if
end if
! call dpotri('u',npar,y,npar,info)
call dsytri('u', npar, y, npar, ipiv, work, info)
deallocate(work)
if (info .ne. 0) then
if (present(info0)) then
info0 = info
return
else
write(*,*) 'ERROR: cannot invert cmat, info = ', info
stop
end if
end if
!! fill the lower diagonal with the upper
call copylower(y)
if (present(info0)) info0=0
end function invertmat_sym2
!!!
!!! outer product of two vectors
!!!
function outer_product(x1,x2) result(y)
implicit none
real(kind=dbl), intent(in) :: x1(:), x2(:)
real(kind=dbl) :: y(size(x1),size(x2))
y = spread(x1,2,size(x2))*spread(x2,1,size(x1))
end function outer_product
!!!
!!! Mahalanobis distance of rows of x from mu given cmat
function mahalanobis(x,mu,cmat) result(d)
implicit none
real(kind=dbl) :: x(:,:), mu(:), cmat(:,:), d(size(x,1))
real(kind=dbl) :: cinv(size(cmat,1),size(cmat,2)), x0(size(x,1),size(x,2))
integer :: i, n
n = size(x,1)
! remove mean
do i=1,n
x0(i,:) = x(i,:)-mu
end do
! invert cmat
cinv=invertmat_sym(cmat)
! Mahalanobis distance for each row in x
d = sum(matmul(x0,cinv)*x0,2)
end function mahalanobis
!!!
!!! test for svd sqrt
!!!
subroutine scam_svd(cmat,R,std,condmax,info)
implicit none
real(kind=dbl) :: cmat(:,:)
real(kind=dbl) :: R(:,:)
real(kind=dbl) :: std(size(R,1))
real(kind=dbl), intent(in) :: condmax
integer, intent(out), optional :: info
integer :: info2, n, i
real(kind=dbl), allocatable :: work(:)
real(kind=dbl), allocatable :: u(:,:), s(:)
integer :: lwork
real(kind=dbl) :: tol, cond
n = size(cmat,1)
if (size(cmat,2) /= n) then
stop 'size error in covtor'
end if
lwork = 5*n
allocate(work(lwork),u(n,n),s(n), stat=info2)
if (info2 /= 0) then
stop 'memory allocation in svd'
end if
if (size(R,1) /= n .or. size(R,1) /= size(R,2)) then
stop 'size error in R in covtor'
end if
R = cmat
!!! call dgesvd(jobu,jobvt,m,n,a,lda,s,u,ldu,vt,ldvt,work,lwork,info)
call dgesvd('A','N',n,n,R,n,s,u,n,u,n,work,lwork,info2)
! write(*,*) 'S : ', real(s(max(1,n-3):n))
if (s(1) == 0.0d0) then
write(*,*) 'SVD: s(1)=0'
if (present(info)) then
info=n
end if
return
end if
if (info2 > 0) then
write(*,*) 'svd info = ', info2
end if
tol = dble(n)*s(1)*2.2204d-16 !!!! check
! tol = dble(n)*s(1)*1.0d-6
cond = condmax
tol = s(1)/cond
if (s(n) <= tol) then
write(*,*) 'adjusting svd, tol:',real(tol)
do i=1,n
if (s(i) < tol) then
s(i) = tol
end if
end do
info2 = -1
end if
! R = u*sqrt(s)
R = u
std = sqrt(s)
if (present(info)) then
info=info2
else if (info2 < 0 .or. info2 > n-2) then
write(*,*) 'svd info = ', info2, ' Stopping'
stop
end if
deallocate(work,u,s)
end subroutine scam_svd
!!!
!!! Cholesky update using dchud from Linpack
!!!
!!! for the EPPES version we do not want to include dchud.f
#ifndef EPPES
subroutine cholupdate(r,x,info)
implicit none
real(kind=dbl), intent(inout) :: r(:,:)
real(kind=dbl), intent(in) :: x(:)
integer, intent(out), optional :: info
integer ldr,p,ldz,nz
real(kind=dbl) rho(1), c(size(r,2))
real(kind=dbl) z(1,1),y(1),s(size(r,2))
interface
subroutine dchud(r,ldr,p,x,z,ldz,nz,y,rho,c,s)
implicit none
integer ldr,p,ldz,nz
double precision rho(nz),c(p)
double precision r(ldr,p),x(p),z(ldz,nz),y(nz),s(p)
end subroutine dchud
end interface
ldr = size(r,1)
p = size(r,2)
ldz = 0
nz = 0
call dchud(r,ldr,p,x,z,ldz,nz,y,rho,c,s)
if (present(info)) info = 0
end subroutine cholupdate
#endif
!!!
!!! Cholesky downdate using dchdd from Linpack
!!!
#ifndef EPPES
subroutine choldowndate(r,x,info)
implicit none
real(kind=dbl), intent(inout) :: r(:,:)
real(kind=dbl), intent(in) :: x(:)
integer, intent(out), optional :: info
integer ldr,p,ldz,nz
real(kind=dbl) rho(1), c(size(r,2))
real(kind=dbl) z(1,1),y(1),s(size(r,2))
integer info0
interface
subroutine dchdd(r,ldr,p,x,z,ldz,nz,y,rho,c,s,info)
implicit none
integer ldr,p,ldz,nz,info
double precision r(ldr,p),x(p),z(ldz,nz),y(nz),s(p)
double precision rho(nz),c(p)
end subroutine dchdd
end interface
ldr = size(r,1)
p = size(r,2)
ldz = 0
nz = 0
call dchdd(r,ldr,p,x,z,ldz,nz,y,rho,c,s,info0)
if (present(info)) then
info = info0
elseif (info0.ne.0) then
write(*,*) 'error in coldowndate, info:', info
stop
end if
end subroutine choldowndate
#endif
!!!
!!!
!!! error routines NOT IN USE YET
!!!
!!! SetMessageLevel - set doerror and message levels
!!!
subroutine SetMessageLevel(infolevel,errorlevel)
implicit none
integer, intent(in), optional :: infolevel
integer, intent(in), optional :: errorlevel
if (present(infolevel)) then
UtilInfoLevel = max(0,infolevel)
end if
if (present(errorlevel)) then
UtilErrorLevel = max(0,errorlevel)
end if
end subroutine SetMessageLevel
!!!
!!!GetInfoLevel - return current InfoLevel
!!!
integer function getinfolevel()
implicit none
getinfolevel = UtilInfoLevel
end function getinfolevel
!!!
!!!GetErrorLevel - return current ErrorLevel
!!!
integer function geterrorlevel()
implicit none
geterrorlevel = UtilErrorLevel
end function geterrorlevel
!!!
!!! DoError - error message and action
!!! action = 0, stop
!!! action = 1,
subroutine doerror(creason,elevel,action)
implicit none
character(len=*) , intent(in) :: creason ! character mesassage
integer, intent(in), optional :: elevel ! error level
integer, intent(in), optional :: action ! error action
integer :: act, el
if (present(elevel)) then
el = elevel
else
el = 0
end if
if (present(action)) then
act = action
else
act = 0
end if
if (el >= UtilErrorLevel) then
write(*,*) 'ERROR: ',trim(creason)
if (act .eq. 0) then
stop 'error stop'
end if
end if
return
end subroutine doerror
!!!
!!! Message - send text to console
!!!
subroutine message(text,ilevel)
implicit none
character(len=*), intent(in) :: text
integer, intent(in), optional :: ilevel
integer :: il
if(.not.present(ilevel)) then
il = 0
else
il = ilevel
end if
if (il >= UtilInfoLevel) then
write(*,*) text
end if
end subroutine message
!!! note routines
subroutine note_txt(verb,txt)
implicit none
integer, intent(in) :: verb
character(len=*), intent(in) :: txt
write(msgbuff,*) 'note: ',trim(txt)
call message(msgbuff,verb)
end subroutine note_txt
subroutine note_x(verb,txt,x)
implicit none
integer, intent(in) :: verb
character(len=*), intent(in) :: txt
real(kind=dbl), intent(in) :: x
write(msgbuff,*) 'note: ',trim(txt),' ',real(x)
call message(msgbuff,verb)
end subroutine note_x
subroutine note_c(verb,txt,c)
implicit none
integer, intent(in) :: verb
character(len=*), intent(in) :: txt
character(len=*), intent(in) :: c
write(msgbuff,*) 'note: ',trim(txt),' ',trim(c)
call message(msgbuff,verb)
end subroutine note_c
!!!
!!! write data matrix to file, with optional locking
!!!
subroutine writedata_mat(file,xmat,stat,uselock)
implicit none
character(len=*), intent(in) :: file
real(kind=dbl), intent(in) :: xmat(:,:)
integer, intent(out), optional :: stat
logical, intent(in), optional :: uselock
integer :: m,n, fstat, i, j
logical :: uselock2
if (len_trim(file) == 0) then
if (present(stat)) stat=-1
return
end if
uselock2 = .false.
if (present(uselock)) uselock2 = uselock
m = size(xmat,1)
n = size(xmat,2)
if (n < 1 .or. m < 1) then
write(*,*) 'Error in writedata, empty matrix, file:',trim(file)
return
end if
if (uselock2) then
call open_with_lock(file=file,unit=FILEUNIT,status='replace',iostat=fstat)
else
#ifdef _WIN32
open(unit=FILEUNIT, file=file, status='replace', &
recordtype='stream_cr', iostat=fstat)
#else
open(unit=FILEUNIT, file=file, status='replace', iostat=fstat)
#endif
end if
if (fstat /= 0) then
if (present(stat)) then
stat = fstat
return
else
write(*,*) 'Error opening file ', trim(file)
stop
end if
end if
do i=1,m
do j=1,n
! write(FILEUNIT,'('//gfrmstr//',x)', iostat=fstat, advance='NO') real(xmat(i,j))
write(FILEUNIT,'('//gfrmstr//',x)', iostat=fstat, advance='NO') xmat(i,j)
if (fstat /= 0) then
write(*,*) 'Write error on file ', trim(file)
stop
end if
end do
#ifdef __PGI
!! PGI fortran adds extra newline at eof
if (i<m) write(FILEUNIT,*)
#else
write(FILEUNIT,*)
#endif
end do
call close_with_lock(unit=FILEUNIT,file=file,iostat=fstat,uselock=uselock2)
if (present(stat)) stat=fstat
return
end subroutine writedata_mat
!!!
!!! write vector to file
!!!
subroutine writedata_vec(file,xvec,stat)
implicit none
character(len=*), intent(in) :: file
real(kind=dbl), intent(in) :: xvec(:)
integer, intent(out), optional :: stat
! real(kind=dbl) :: xmat(size(xvec),1)
integer :: i, n, fstat
if (len_trim(file) == 0) then
if (present(stat)) stat=-1
return
end if
n = size(xvec)
! xmat = reshape(xvec,(/n,1/)) !! stack overflow to happen here
! call writedata(file,xmat,stat)
#ifdef _WIN32
open(unit=FILEUNIT, file=file, status='replace', &
recordtype='stream_cr', iostat=fstat)
#else
open(unit=FILEUNIT, file=file, status='replace', iostat=fstat)
#endif
if (fstat /= 0) then
if (present(stat)) then
stat = fstat
return
else
write(*,*) 'Error opening file ', trim(file)
stop
end if
end if
do i=1,n
write(FILEUNIT,'('//gfrmstr//')', iostat=fstat, advance='YES') xvec(i)
if (fstat /= 0) then
write(*,*) 'Write error on file ', trim(file)
stop
end if
end do
close(unit=FILEUNIT)
if (present(stat)) stat=fstat
end subroutine writedata_vec
!!!
!!! write dbl scalar to ascii file
!!!
subroutine writedata_scal(file,x,stat)
implicit none
character(len=*), intent(in) :: file
real(kind=dbl), intent(in) :: x
integer, intent(out), optional :: stat
real(kind=dbl) :: xvec(1)
xvec(1) = x
call writedata(file,xvec,stat)
end subroutine writedata_scal
!!!
!!! write vector x to unit and try to avoid a newline
!!! this is not used anywhere?
subroutine writevec(unit,x,stat)
implicit none
integer, intent(in) :: unit
real(kind=dbl), intent(in) :: x(:)
integer, intent(out), optional :: stat
integer :: n, fstat, i
n = size(x)
do i=1,n
write(unit,'('//gfrmstr//',x)', iostat=fstat, advance='NO') x(i)
if (fstat /= 0) then
if (present(stat)) then
stat=fstat
return
else
write(*,*) 'Write error on unit ', unit
stop
end if
end if
end do
write(unit,*) ! newline
if (present(stat)) stat = 0
return
end subroutine writevec