With the new file_logger_t type we were able to model a logger service as a derived type. Now it’s time to make the service abstract. That is, to leave out the implementation detail that it’s a file logger (not a terminal output logger, etc.). Users should be able to use this abstract service to log any message, to whatever the application has been configured to log to.

An abstract derived type

Allowing a user to depend on an abstract service requires the use of an abstract type. The user can import this abstract type in their module or program. Meanwhile, the factory function for the abstract logger will actually return the concrete file logger, which extends the abstract logger. For object-oriented programmers this may be a familiar approach, but it’s not a very common Fortran practice. In code it looks as follows:

We’ve seen how to define a derived type to represent a point in 2D space. We were able to add a type-bound procedure to it, and finally to make its components private and define a custom constructor for it.

In essence there are two categories of derived types:

1. Derived types that hold some data. Their type-bound procedures are solely dealing with this data, and may produce valuable information with it. The point is an example of such a derived type: we can use its data to make geometrical calculations, or we can combine it together with other points into lines, polygons, etc. This all happens in memory. In typical business applications you would consider entities, value objects and data transfer objects (DTOs) to be in this first category.
2. Derived types that can perform some task that deals with things external to the application, like a file, the terminal, a network connection, etc. Such a type doesn’t hold data inside. It is able to fetch data, or send/store data. In business applications such a type is often called a service.

In object-oriented programming, service types usually offer an abstraction. This allows the client to decouple from its specific implementation details. For example, take a logger service; it’s often beneficial for the user that they don’t have to be concerned about where the logs are written to (file, screen, log aggregation server, etc.). The user only wants to call a simple log() function to log something to whatever has been configured at some higher level. Introducing a logger abstraction will take a few posts from here, but it’s good to know that service abstraction is the goal.

In the previous post we have worked on the point_t derived type, turning the module procedure distance into a type-bound procedure:

module geometry
   ! ...

   type :: point_t
      real :: x
      real :: y
   contains
      procedure :: distance => point_distance
   end type point_t

contains

   pure function point_distance(point_1, point_2) result(the_distance)
      class(point_t), intent(in) :: point_1
      
      ! ...
   end function point_distance

end module geometry

Private data components

Type-bound procedures can help us tie relevant behaviors (procedures) to derived types. It also allows us to let the derived type keep its data to itself. This is often called data hiding, or encapsulation of state. Nothing outside the module where the derived type is defined will have (read or write) access to its data components. This can be accomplished by adding the attribute private to each data component:

In the previous post we defined a derived type point_t with real data components x and y, to represent a point in 2D space. We also wrote a function to calculate the distance between two such points:

module geometry
   implicit none(type, external)

   private
   public :: point_t
   public :: distance

   type :: point_t
      real :: x
      real :: y
   end type point_t

contains

   pure function distance(point_1, point_2) result(the_distance)
      type(point_t), intent(in) :: point_1
      type(point_t), intent(in) :: point_2
      real :: the_distance

      the_distance = sqrt((point_2%x - point_1%x)**2 + &
                          (point_2%y - point_1%y)**2)
   end function distance

end module geometry

This allowed us to pass point_t instances as function arguments to distance, in another module or in the program:

We’ve seen types and variables and functions and subroutines. Now we can get to the next level and combine both variables and procedures in a so-called derived type.

Declaring a derived type and its data components

Object-oriented programming languages have classes. It took me some time to understand that classes can be seen as “extensions of the type system”. There are often primitive types like strings, integers, etc. and we can group them as properties of a class. Thereby, the class becomes some kind of advanced, composite type.

So far we’ve put code inside the main program block of our application. Soon the need arises to move blocks of code to a better place: a procedure with a proper name living inside a module which groups related procedures by topic.

Fortran has two types of procedures:

• Functions, with arguments and a return value
• Subroutines, which are functions without a return value

Subroutines

Let’s define a new subroutine in a module:

We’ve looked at the program and module blocks that can hold our code. Now we’ll find out where to put our data.

Declaration comes first

In Fortran, every time we want to store some value in a variable, we have to explicitly declare the type and the name of the variable first. This has to happen before any other executable statement, but after imports and other declarations like the implicit none statement:

We have a basic Fortran application and a working environment to edit, compile and run it, thanks to FPM, IFX and Visual Studio Code. Let’s take a look at the structure of our very basic application.

The program keyword

The minimum amount of code for a Fortran executable is this:

program the_program
    ! Do something here
end program the_program

Comment lines start with !. To write a multi-line comment, just repeat ! at the beginning of every line.

In the previous post I included the obligatory “hello world” snippet. It would be nice if you could actually run code like that on your computer! It’s not so hard; we have very modern tooling available, and everything works equally well on Windows and Linux. The tools are freely available too.

First, install the following programs:

• Intel oneAPI Fortan Esstentials. This includes the IFX compiler.
• Fortran Package Manager (FPM). This tool is a “zero-configuration” build system which can also install and build dependencies for you.
• Visual Studio Code. We’ll use this as our editor. As far as I know there is no fully-integrated coding solution for Fortran programs. Some may use Visual Studio, some Visual Studio Code, and Jetbrains Clion may be a good option too. But none of these have solutions for all your IDE needs. After some experimenting, I think VS Code is the best option.

In a terminal, navigate to a place where you would like to create your Fortran project, and run: