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! { dg-do run { xfail spu-*-* } }

! { dg-add-options ieee }

!

! PR fortran/36158

! PR fortran/33197

!

! XFAILed for SPU targets since we don't have an accurate library

! implementation of the single-precision Bessel functions.

!

! Run-time tests for transformations BESSEL_JN

!

implicit none

real,parameter :: values(*) = [0.0, 0.5, 1.0, 0.9, 1.8,2.0,3.0,4.0,4.25,8.0,34.53, 475.78]

real,parameter :: myeps(size(values)) = epsilon(0.0) &

                  * [2, 7, 5, 6, 9, 12, 12, 7, 7, 8, 92, 15 ]

! The following is sufficient for me - the values above are a bit

! more tolerant

!                  * [0, 5, 3, 4, 6, 7, 7, 5, 5, 6, 66, 4 ]

integer,parameter :: mymax(size(values)) =  &

                 [100, 17, 23, 21, 27, 28, 32, 35, 31, 41, 47, 37 ]

integer, parameter :: Nmax = 100

real :: rec(0:Nmax), lib(0:Nmax)

integer :: i

do i = 1, ubound(values,dim=1)

  call compare(mymax(i), values(i), myeps(i))

end do

contains

subroutine compare(mymax, X, myeps)

integer :: i, nit, mymax

real X, myeps, myeps2

rec(0:mymax) = BESSEL_JN(0, mymax, X)

lib(0:mymax) = [ (BESSEL_JN(i, X), i=0,mymax) ]

!print *, 'YN for X = ', X, ' -- Epsilon = ',epsilon(x)

do i = 0, mymax

!  print '(i2,2e17.9,e12.2,f18.10,2l3)', i, rec(i), lib(i), &

!        rec(i)-lib(i),           ((rec(i)-lib(i))/rec(i))/epsilon(x), &

!        rec(i) == lib(i), abs((rec(i)-lib(i))/rec(i)) < myeps

if (rec(i) == lib(i)) CYCLE

if (abs((rec(i)-lib(i))/rec(i)) > myeps) &

  call abort()

end do

end

end