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3.1 Accessing data using Fortran

ITM	IMAS
CHEAT SHEET
use euitm_schemas	use ids_schemas
use euitm_routines	use ids_routines
type (type_<cpo_name>) :: cpo	type (ids_<ids_name>) :: ids
type (type_<cpo_name>), pointer :: cpoArray(:) ! <= Array !!!	type (ids_<ids_name>) :: ids <== SINGLE OBJ !!!
call euitm_create('euitm', shot, run, refShot, refRun, idx)	call imas_create('ids', shot, run, refShot, refRun, idx)
call euitm_open('euitm', shot, run, idx)	call imas_open('ids', shot, run, idx)
call euitm_put(idx, '<cpo_name>', cpoArray) <== ARRAY!	call ids_put(idx, '<ids_name>', ids) <== SINGLE OBJ
call euitm_put_non_timed(idx,"<cpo_name>", cpo)	call ids_put_non_timed(idx,"<ids_name>",ids)
call euitm_put_slice(idx, '<cpo_name>', cpo)	call ids_put_slice(idx, '<ids_name>', ids)
call euitm_deallocate(cpoArray)	call ids_deallocate(ids)
call euitm_close(idx)	call imas_close(idx)
call euitm_enable_mem_cache(idx)	call imas_enable_mem_cache(idx)
call euitm_disable_mem_cache(idx)	call imas_disable_mem_cache(idx)
call euitm_flush_all(idx)	call imas_flush_all(idx)

...

putSlice() CPO vs IDS

Code Block

title	ITM
linenumbers	true

program diagnostic
    use euitm_schemas
    use euitm_routines
    implicit none

    integer :: idx, i, arraySize
    type (type_equilibrium), pointer :: cpoArray(:) ! <= Array !!!

	! Open a database
    call euitm_create('euitm', 11, 22, -1, -1, idx)





	! CPO structure allocation
	allocate(cpoArray(10))

!SCALARS (!)
	do i=1, 10
    	cpoArray(i)%time = VALUE
        cpoArray(i)%x%y = VALUE
    enddo
    




call euitm_put(idx, 'equilibrium', cpoArray)
call euitm_deallocate(cpoArray)
    ! Close a pulse file
    call euitm_close(idx)
end program

Code Block

title	IMAS
linenumbers	true

program diagnostic
    use ids_schemas
    use ids_routines
    implicit none

    integer :: idx, i
    type (ids_core_profiles) :: ids ! <= Single object !!!

	! Open a database
    call imas_create('ids', 11, 22, -1, -1, idx)
  
   ! Mandatory to define this property
    ids%ids_properties%homogeneous_time = 1 

! IDS structure allocation
allocate(ids%time(1))
allocate(ids%x%y(1))


 !SCALARS (!)
	do i=1, 10
    	ids%time(i) = VALUE
        ids%x%y(i) = VALUE
    enddo
! VECTORS
    	ids%time = timeVector
        ids%x%y  = valueVector

call ids_put(idx, 'core_profiles', ids)
	call ids_deallocate(ids)
! Close a pulse file
    call imas_close(idx)
end program

...

get() CPO vs IDS

Code Block

title	ITM
linenumbers	true

program diagnostic
    use euitm_schemas
    use euitm_routines
    implicit none

    integer :: idx, i, arraySize
    type (type_equilibrium), pointer :: cpoArray(:) ! <= Array !!!


	! Open a database
    call euitm_open('euitm', 14, 4, idx)
  
    ! Get data
    call euitm_get(idx, 'equilibrium', cpoArray)
   
	! Check array size
	arraySize = size(eqArraycpoArray)
    write (*,*) "Number of slices: ", arraySize
    
! SCALARS (!)
	do i=1, arraySize
    	write (*,*) "Time : ", cpoArray(i)%time
        write (*,*) "Value: ", cpoArray(i)%x%y
    enddo
    




    ! Close a pulse file
    call euitm_close(idx)
end program

Code Block

title	IMAS
linenumbers	true

program diagnostic
    use ids_schemas
    use ids_routines
    implicit none

    integer :: idx, i, arraySize
    type (ids_core_profiles) :: ids ! <= Single object !!!


	! Open a database
    call imas_open('ids', 14, 4, idx)
  
    ! Get data
    call imas_get(idx, 'core_profiles', ids)

	! Check array size
   arraySize arraySize = size(ids%time)
    
 write (*,*) "Number of slices: ", arraySize
      
!SCALARS (!)
	do i=1, arraySize
    	write (*,*) "Time : ", ids%time(i)
        write (*,*) "Value: ", ids%x%y(i)
    enddo

! VECTORS
    	write (*,*) "Time : ", ids%time
        write (*,*) "Value: ", ids%x%y
	
! Close a pulse file
    call imas_close(idx)
end program

...

getSlice() CPO vs IDS

Code Block

language	cpp
title	ITM
linenumbers	true

program diagnostic
   ! UAL library
    use euitm_schemas
    use euitm_routines  
   
	implicit none
 
    integer :: idx 
    type (type_equilibrium) :: cpo
    
    ! Open a database
    call euitm_open('euitm', 11, 4, idx)
    
     ! Get data
    call euitm_get_slice(idx, 'equilibrium', cpo, 4.0, 1)
             
    write (*,*) "Time  : ", cpo%time
    write (*,*) "Value : ", cpo%x%y
     
	! Memory clean-up
	call euitm_deallocate(cpo)

    call euitm_close(idx)
end program! Close a pulse file 
    call euitm_close(idx)
end program

Code Block

title	IMAS
linenumbers	true

program diagnostic
    ! UAL library
    use ids_schemas
    use ids_routines  

    implicit none

    integer :: idx 
    type (ids_core_profiles) :: ids
    
    ! Open a database
    call imas_open('ids', 11, 22, idx)
    
    ! Get data
    call ids_get_slice(idx, 'core_profiles', ids, 4.0, 1)
            
    write (*,*) "Time  : ", ids%time
    write (*,*) "Value : ", ids%x%y

	! Memory clean-up
    call ids_deallocate(ids)

	call imas_close(idx)
end program

4. Compile the code

Code Block
shell> make clean shell> make

5. Run the code

Code Block
shell> ./get_ids_array.exe shell> ./get_ids_slices.exe

6. You should see values that we have stored using Python based code.

4. FC2K - Fortran Code to Kepler

It is possible to encapsulate Fortran/C++ code with Java code that represents Kepler actor. This way, you can easily incorporate your Fortran code with existing Kepler workflow. In order to make it happen you will have to:

Prepare Fortran code that has a subroutine to be called and is compiled as a library
Prepare FC2K based description of the actor
Recompile Kepler with newly created actor

After these steps are performed, you will have an access to Kepler actor that encapsulates your Fortran code.

All these topics will be covered in separate tutorial: 1.4 Using FC2K for embedding Fortran code into Kepler

...

   ! Close a pulse file
    call imas_close(idx)
end program

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3.1 Accessing data using Fortran

4. FC2K - Fortran Code to Kepler