gcc/testsuite/gfortran.dg/bessel_6.f90

   1 ! { dg-do run { xfail spu-*-* } }
   2 !
   3 ! PR fortran/36158
   4 ! PR fortran/33197
   5 !
   6 ! XFAILed for SPU targets since we don't have an accurate library
   7 ! implementation of the single-precision Bessel functions.
   8 !
   9 ! Run-time tests for transformations BESSEL_JN
  10 !
  11 implicit none
  12 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]
  13 real,parameter :: myeps(size(values)) = epsilon(0.0) &
  14                   * [2, 7, 5, 6, 9, 12, 12, 7, 7, 8, 75, 15 ]
  15 ! The following is sufficient for me - the values above are a bit
  16 ! more tolerant
  17 !                  * [0, 5, 3, 4, 6, 7, 7, 5, 5, 6, 66, 4 ]
  18 integer,parameter :: mymax(size(values)) =  &
  19                  [100, 17, 23, 21, 27, 28, 32, 35, 36, 41, 47, 37 ]
  20 integer, parameter :: Nmax = 100
  21 real :: rec(0:Nmax), lib(0:Nmax)
  22 integer :: i
  23
  24 do i = 1, ubound(values,dim=1)
  25   call compare(mymax(i), values(i), myeps(i))
  26 end do
  27
  28 contains
  29
  30 subroutine compare(mymax, X, myeps)
  31
  32 integer :: i, nit, mymax
  33 real X, myeps, myeps2
  34
  35 rec(0:mymax) = BESSEL_JN(0, mymax, X)
  36 lib(0:mymax) = [ (BESSEL_JN(i, X), i=0,mymax) ]
  37
  38 !print *, 'YN for X = ', X, ' -- Epsilon = ',epsilon(x)
  39 do i = 0, mymax
  40 !  print '(i2,2e17.9,e12.2,f18.10,2l3)', i, rec(i), lib(i), &
  41 !        rec(i)-lib(i),           ((rec(i)-lib(i))/rec(i))/epsilon(x), &
  42 !        rec(i) == lib(i) .or. abs((rec(i)-lib(i))/rec(i)) < myeps
  43 if (.not. (rec(i) == lib(i) .or. abs((rec(i)-lib(i))/rec(i)) < myeps)) &
  44   call abort()
  45 end do
  46
  47 end
  48 end