State Abstraction
Abstraction is a key concept in programming that can drastically simplify both the implementation and maintenance of code. It's particularly well suited to SPARK and its modular analysis. This section explains what state abstraction is and how you use it in SPARK. We explain how it impacts GNATprove's analysis both in terms of information flow and proof of program properties.
State abstraction allows us to:
express dependencies that wouldn't otherwise be expressible because some data that's read or written isn't visible at the point where a subprogram is declared — examples are dependencies on data, for which we use the
Globalcontract, and on flow, for which we use theDependscontract.reduce the number of variables that need to be considered in flow analysis and proof, a reduction which may be critical in order to scale the analysis to programs with thousands of global variables.
What's an Abstraction?
Abstraction is an important part of programming language design. It provides two views of the same object: an abstract one and a refined one. The abstract one — usually called specification — describes what the object does in a coarse way. A subprogram's specification usually describes how it should be called (e.g., parameter information such as how many and of what types) as well as what it does (e.g., returns a result or modifies one or more of its parameters).
Contract-based programming, as supported in Ada, allows contracts to be added to a subprogram's specification. You use contracts to describe the subprogram's behavior in a more fine-grained manner, but all the details of how the subprogram actually works are left to its refined view, its implementation.
Take a look at the example code shown below.
procedure Increase (X : in out Integer) with
Global => null,
Pre => X <= 100,
Post => X'Old < X;
procedure Increase (X : in out Integer) is
begin
X := X + 1;
end Increase;
We've written a specification of the subprogram Increase to say that it's
called with a single argument, a variable of type Integer whose
initial value is less than 100. Our contract says that the only effect of
the subprogram is to increase the value of its argument.
Why is Abstraction Useful?
A good abstraction of a subprogram's implementation is one whose specification precisely and completely summarizes what its callers can rely on. In other words, a caller of that subprogram shouldn't rely on any behavior of its implementation if that behavior isn't documented in its specification.
For example, callers of the subprogram Increase can assume that it
always strictly increases the value of its argument. In the code snippet
shown below, this means the loop must terminate.
procedure Increase (X : in out Integer) with
Global => null,
Pre => X <= 100,
Post => X'Old < X;
with Increase;
procedure Client is
X : Integer := 0;
begin
while X <= 100 loop -- The loop will terminate
Increase (X); -- Increase can be called safely
end loop;
pragma Assert (X = 101); -- Will this hold?
end Client;
Callers can also assume that the implementation of Increase won't cause
any runtime errors when called in the loop. On the other hand, nothing in
the specification guarantees that the assertion show above is correct: it
may fail if Increase's implementation is changed.
If you follow this basic principle, abstraction can bring you significant benefits. It simplifies both your program's implementation and verification. It also makes maintenance and code reuse much easier since changes to the implementation of an object shouldn't affect the code using this object. Your goal in using it is that it should be enough to understand the specification of an object in order to use that object, since understanding the specification is usually much simpler than understanding the implementation.
GNATprove relies on the abstraction defined by subprogram contracts and
therefore doesn't prove the assertion after the loop in Client above.
Abstraction of a Package's State
Subprograms aren't the only objects that benefit from abstraction. The
state of a package — the set of persistent variables defined in it —
can also be hidden from external users. You achieve this form of
abstraction — called state abstraction — by defining variables in
the body or private part of a package so they can only be accessed through
subprogram calls. For example, our Stack package shown below provides
an abstraction for a Stack object which can only be modified using the
Pop and Push procedures.
package Stack is
procedure Pop (E : out Element);
procedure Push (E : in Element);
end Stack;
package body Stack is
Content : Element_Array (1 .. Max);
Top : Natural;
...
end Stack;
The fact that we implemented it using an array is irrelevant to the caller. We could change that without impacting our callers' code.
Declaring a State Abstraction
Hidden state influences a program's behavior, so SPARK allows that state to
be declared. You can use the Abstract_State aspect, an abstraction
that names a state, to do this, but you aren't required to use it even for
a package with hidden state. You can use several state abstractions to
declare the hidden state of a single package or you can use it for a
package with no hidden state at all. However, since SPARK doesn't allow
aliasing, different state abstractions must always refer to disjoint sets
of variables. A state abstraction isn't a variable: it doesn't have a type
and can't be used inside expressions, either those in bodies or contracts.
As an example of the use of this aspect, we can optionally define a state
abstraction for the entire hidden state of the Stack package like this:
package Stack with
Abstract_State => The_Stack
is
...
Alternatively, we can define a state abstraction for each hidden variable:
package Stack with
Abstract_State => (Top_State, Content_State)
is
...
Remember: a state abstraction isn't a variable (it has no type) and can't be used inside expressions. For example:
pragma Assert (Stack.Top_State = ...);
-- compilation error: Top_State is not a variable
Refining an Abstract State
Once you've declared an abstract state in a package, you must refine it
into its constituents using a Refined_State aspect. You must place
the Refined_State aspect on the package body even if the package
wouldn't otherwise have required a body. For each state abstraction you've
declared for the package, you list the set of variables represented by that
state abstraction in its refined state.
If you specify an abstract state for a package, it must be complete,
meaning you must have listed every hidden variable as part of some state
abstraction. For example, we must add a Refined_State aspect on our
Stack package's body linking the state abstraction (The_Stack) to
the entire hidden state of the package, which consists of both Content
and Top.
package Stack with
Abstract_State => The_Stack
is
type Element is new Integer;
procedure Pop (E : out Element);
procedure Push (E : Element);
end Stack;
package body Stack with
Refined_State => (The_Stack => (Content, Top))
is
Max : constant := 100;
type Element_Array is array (1 .. Max) of Element;
Content : Element_Array := (others => 0);
Top : Natural range 0 .. Max := 0;
-- Both Content and Top must be listed in the list of
-- constituents of The_Stack
procedure Pop (E : out Element) is
begin
E := Content (Top);
Top := Top - 1;
end Pop;
procedure Push (E : Element) is
begin
Top := Top + 1;
Content (Top) := E;
end Push;
end Stack;
Representing Private Variables
You can refine state abstractions in the package body, where all the
variables are visible. When only the package's specification is available,
you need a way to specify which state abstraction each private variable
belongs to. You do this by adding the Part_Of aspect to the
variable's declaration.
Part_Of annotations are mandatory: if you gave a package an abstract
state annotation, you must link all the hidden variables defined in its
private part to a state abstraction. For example:
package Stack with
Abstract_State => The_Stack
is
type Element is new Integer;
procedure Pop (E : out Element);
procedure Push (E : Element);
private
Max : constant := 100;
type Element_Array is array (1 .. Max) of Element;
Content : Element_Array with Part_Of => The_Stack;
Top : Natural range 0 .. Max with Part_Of => The_Stack;
end Stack;
Since we chose to define Content and Top in Stack's private
part instead of its body, we had to add a Part_Of aspect to both of
their declarations, associating them with the state abstraction
The_Stack, even though it's the only state abstraction. However, we
still need to list them in the Refined_State aspect in Stack's
body.
package body Stack with
Refined_State => (The_Stack => (Content, Top))
Additional State
Nested Packages
So far, we've only discussed hidden variables. But variables aren't the
only component of a package's state. If a package P contains a nested
package, the nested package's state is also part of P's state. If the
nested package is hidden, its state is part of P's hidden state and
must be listed in P's state refinement.
We see this in the example below, where the package Hidden_Nested's
hidden state is part of P's hidden state.
package P with
Abstract_State => State
is
package Visible_Nested with
Abstract_State => Visible_State
is
procedure Get (E : out Integer);
end Visible_Nested;
end P;
package body P with
Refined_State => (State => Hidden_Nested.Hidden_State)
is
package Hidden_Nested with
Abstract_State => Hidden_State,
Initializes => Hidden_State
is
function Get return Integer;
end Hidden_Nested;
package body Hidden_Nested with
Refined_State => (Hidden_State => Cnt)
is
Cnt : Integer := 0;
function Get return Integer is (Cnt);
end Hidden_Nested;
package body Visible_Nested with
Refined_State => (Visible_State => Checked)
is
Checked : Boolean := False;
procedure Get (E : out Integer) is
begin
Checked := True;
E := Hidden_Nested.Get;
end Get;
end Visible_Nested;
end P;
Any visible state of Hidden_Nested would also have been part of P's
hidden state. However, if P contains a visible nested package, that
nested package's state isn't part of P's hidden state. Instead, you
should declare that package's hidden state in a separate state abstraction
on its own declaration, like we did above for Visible_Nested.
Constants that Depend on Variables
Some constants are also possible components of a state abstraction. These are constants whose value depends either on a variable or a subprogram parameter. They're handled as variables during flow analysis because they participate in the flow of information between variables throughout the program. Therefore, GNATprove considers these constants to be part of a package's state just like it does for variables.
If you've specified a state abstraction for a package, you must list such hidden constants declared in that package in the state abstraction refinement. However, constants that don't depend on variables don't participate in the flow of information and must not appear in a state refinement.
Let's look at this example.
package Stack with
Abstract_State => The_Stack
is
type Element is new Integer;
procedure Pop (E : out Element);
procedure Push (E : Element);
end Stack;
package Configuration with
Initializes => External_Variable
is
External_Variable : Positive with Volatile;
end Configuration;
with Configuration;
pragma Elaborate (Configuration);
package body Stack with
Refined_State => (The_Stack => (Content, Top, Max))
-- Max has variable inputs. It must appear as a
-- constituent of The_Stack
is
Max : constant Positive := Configuration.External_Variable;
type Element_Array is array (1 .. Max) of Element;
Content : Element_Array := (others => 0);
Top : Natural range 0 .. Max := 0;
procedure Pop (E : out Element) is
begin
E := Content (Top);
Top := Top - 1;
end Pop;
procedure Push (E : Element) is
begin
Top := Top + 1;
Content (Top) := E;
end Push;
end Stack;
Here, Max — the maximum number of elements that can be stored in
the stack — is initialized from a variable in an external package.
Because of this, we must include Max as part of the state abstraction
The_Stack.
Note
For more details on state abstractions, see the SPARK User's Guide.
Subprogram Contracts
Global and Depends
Hidden variables can only be accessed through subprogram calls, so you
document how state abstractions are modified during the program's execution
via the contracts of those subprograms. You use Global and
Depends contracts to specify which of the state abstractions are
used by a subprogram and how values flow through the different variables.
The Global and Depends contracts that you write when
referring to state abstractions are often less precise than contracts
referring to visible variables since the possibly different dependencies of
the hidden variables contained within a state abstraction are collapsed
into a single dependency.
Let's add Global and Depends contracts to the Pop
procedure in our stack.
package Stack with
Abstract_State => (Top_State, Content_State)
is
type Element is new Integer;
procedure Pop (E : out Element) with
Global => (Input => Content_State,
In_Out => Top_State),
Depends => (Top_State => Top_State,
E => (Content_State, Top_State));
end Stack;
In this example, the Pop procedure only modifies the value of the
hidden variable Top, while Content is unchanged. By using distinct
state abstractions for the two variables, we're able to preserve this
semantic in the contract.
Let's contrast this example with a different representation of
Global and Depends contracts, this time using a single
abstract state.
package Stack with
Abstract_State => The_Stack
is
type Element is new Integer;
procedure Pop (E : out Element) with
Global => (In_Out => The_Stack),
Depends => ((The_Stack, E) => The_Stack);
end Stack;
Here, Top_State and Content_State are merged into a single state
abstraction, The_Stack. By doing so, we've hidden the fact that
Content isn't modified (though we're still showing that Top may be
modified). This loss in precision is reasonable here, since it's the whole
point of the abstraction. However, you must be careful not to aggregate
unrelated hidden state because this risks their annotations becoming
meaningless.
Even though imprecise contracts that consider state abstractions as a whole
are perfectly reasonable for users of a package, you should write
Global and Depends contracts that are as precise as possible
within the package body. To allow this, SPARK introduces the notion of
refined contracts, which are precise contracts specified on the bodies of
subprograms where state refinements are visible. These contracts are the
same as normal Global and Depends contracts except they refer
directly to the hidden state of the package.
When a subprogram is called inside the package body, you should write
refined contracts instead of the general ones so that the verification can
be as precise as possible. However, refined Global and
Depends are optional: if you don't specify them, GNATprove will
compute them to check the package's implementation.
For our Stack example, we could add refined contracts as shown below.
package Stack with
Abstract_State => The_Stack
is
type Element is new Integer;
procedure Pop (E : out Element) with
Global => (In_Out => The_Stack),
Depends => ((The_Stack, E) => The_Stack);
procedure Push (E : Element) with
Global => (In_Out => The_Stack),
Depends => (The_Stack => (The_Stack, E));
end Stack;
package body Stack with
Refined_State => (The_Stack => (Content, Top))
is
Max : constant := 100;
type Element_Array is array (1 .. Max) of Element;
Content : Element_Array := (others => 0);
Top : Natural range 0 .. Max := 0;
procedure Pop (E : out Element) with
Refined_Global => (Input => Content,
In_Out => Top),
Refined_Depends => (Top => Top,
E => (Content, Top))
is
begin
E := Content (Top);
Top := Top - 1;
end Pop;
procedure Push (E : Element) with
Refined_Global => (In_Out => (Content, Top)),
Refined_Depends => (Content =>+ (Content, Top, E),
Top => Top) is
begin
Top := Top + 1;
Content (Top) := E;
end Push;
end Stack;
Preconditions and Postconditions
We mostly express functional properties of subprograms using preconditions and postconditions. These are standard Boolean expressions, so they can't directly refer to state abstractions. To work around this restriction, we can define functions to query the value of hidden variables. We then use these functions in place of the state abstraction in the contract of other subprograms.
For example, we can query the state of the stack with functions
Is_Empty and Is_Full and call these in the contracts of procedures
Pop and Push:
package Stack is
type Element is new Integer;
function Is_Empty return Boolean;
function Is_Full return Boolean;
procedure Pop (E : out Element) with
Pre => not Is_Empty,
Post => not Is_Full;
procedure Push (E : Element) with
Pre => not Is_Full,
Post => not Is_Empty;
end Stack;
package body Stack is
Max : constant := 100;
type Element_Array is array (1 .. Max) of Element;
Content : Element_Array := (others => 0);
Top : Natural range 0 .. Max := 0;
function Is_Empty return Boolean is (Top = 0);
function Is_Full return Boolean is (Top = Max);
procedure Pop (E : out Element) is
begin
E := Content (Top);
Top := Top - 1;
end Pop;
procedure Push (E : Element) is
begin
Top := Top + 1;
Content (Top) := E;
end Push;
end Stack;
Just like we saw for Global and Depends contracts, you may
often find it useful to have a more precise view of functional contracts in
the context where the hidden variables are visible. You do this using
expression functions in the same way we did for the functions Is_Empty
and Is_Full above. As expression function, bodies act as contracts for
GNATprove, so they automatically give a more precise version of the
contracts when their implementation is visible.
You may often need a more constraining contract to verify the package's
implementation but want to be less strict outside the abstraction. You do
this using the Refined_Post aspect. This aspect, when placed on a
subprogram's body, provides stronger guarantees to internal callers of a
subprogram. If you provide one, the refined postcondition must imply the
subprogram's postcondition. This is checked by GNATprove, which reports a
failing postcondition if the refined postcondition is too weak, even if
it's actually implied by the subprogram's body. SPARK doesn't peform a
similar verification for normal preconditions.
For example, we can refine the postconditions in the bodies of Pop and
Push to be more detailed than what we wrote for them in their
specification.
package Stack is
type Element is new Integer;
function Is_Empty return Boolean;
function Is_Full return Boolean;
procedure Pop (E : out Element) with
Pre => not Is_Empty,
Post => not Is_Full;
procedure Push (E : Element) with
Pre => not Is_Full,
Post => not Is_Empty;
end Stack;
package body Stack is
Max : constant := 100;
type Element_Array is array (1 .. Max) of Element;
Content : Element_Array := (others => 0);
Top : Natural range 0 .. Max := 0;
function Is_Empty return Boolean is (Top = 0);
function Is_Full return Boolean is (Top = Max);
procedure Pop (E : out Element) with
Refined_Post => not Is_Full and E = Content (Top)'Old
is
begin
E := Content (Top);
Top := Top - 1;
end Pop;
procedure Push (E : Element) with
Refined_Post => not Is_Empty and E = Content (Top)
is
begin
Top := Top + 1;
Content (Top) := E;
end Push;
end Stack;
Note
For more details on refinement in contracts, see the SPARK User's Guide.
Initialization of Local Variables
As part of flow analysis, GNATprove checks for the proper initialization of variables. Therefore, flow analysis needs to know which variables are initialized during the package's elaboration.
You can use the Initializes aspect to specify the set of visible
variables and state abstractions that are initialized during the
elaboration of a package. An Initializes aspect can't refer to a
variable that isn't defined in the unit since, in SPARK, a package can only
initialize variables declared immediately within the package.
Initializes aspects are optional. If you don't supply any, they'll
be derived by GNATprove.
For our Stack example, we could add an Initializes aspect.
package Stack with
Abstract_State => The_Stack,
Initializes => The_Stack
is
type Element is new Integer;
procedure Pop (E : out Element);
end Stack;
package body Stack with
Refined_State => (The_Stack => (Content, Top))
is
Max : constant := 100;
type Element_Array is array (1 .. Max) of Element;
Content : Element_Array := (others => 0);
Top : Natural range 0 .. Max := 0;
procedure Pop (E : out Element) is
begin
E := Content (Top);
Top := Top - 1;
end Pop;
end Stack;
Flow analysis also checks for dependencies between variables, so it must be
aware of how information flows through the code that performs the
initialization of states. We discussed one use of the Initializes
aspect above. But you also can use it to provide flow information. If the
initial value of a variable or state abstraction is dependent on the value
of another visible variable or state abstraction from another package, you
must list this dependency in the Initializes contract. You specify
the list of entities on which a variable's initial value depends using an
arrow following that variable's name.
Let's look at this example:
package Q is
External_Variable : Integer := 2;
end Q;
with Q;
package P with
Initializes => (V1, V2 => Q.External_Variable)
is
V1 : Integer := 0;
V2 : Integer := Q.External_Variable;
end P;
Here we indicated that V2's initial value depends on the value of
Q.External_Variable by including that dependency in the
Initializes aspect of P. We didn't list any dependency for
V1 because its initial value doesn't depend on any external
variable. We could also have stated that lack of dependency explicitly by
writing V1 => null.
GNATprove computes dependencies of initial values if you don't supply an
Initializes aspect. However, if you do provide an
Initializes aspect for a package, it must be complete: you must list
every initialized state of the package, along with all its external
dependencies.
Note
For more details on Initializes, see the
SPARK User's Guide.
Code Examples / Pitfalls
This section contains some code examples to illustrate potential pitfalls.
Example #1
Package Communication defines a hidden local package, Ring_Buffer,
whose capacity is initialized from an external configuration during
elaboration.
package Configuration is
External_Variable : Natural := 1;
end Configuration;
with Configuration;
package Communication with
Abstract_State => State,
Initializes => (State => Configuration.External_Variable)
is
function Get_Capacity return Natural;
private
package Ring_Buffer with
Initializes => (Capacity => Configuration.External_Variable)
is
Capacity : constant Natural := Configuration.External_Variable;
end Ring_Buffer;
end Communication;
package body Communication with
Refined_State => (State => Ring_Buffer.Capacity)
is
function Get_Capacity return Natural is
begin
return Ring_Buffer.Capacity;
end Get_Capacity;
end Communication;
This example isn't correct. Capacity is declared in the private part
of Communication. Therefore, we should have linked it to State by
using the Part_Of aspect in its declaration.
Example #2
Let's add Part_Of to the state of hidden local package Ring_Buffer,
but this time we hide variable Capacity inside the private part of
Ring_Buffer.
package Configuration is
External_Variable : Natural := 1;
end Configuration;
with Configuration;
package Communication with
Abstract_State => State
is
private
package Ring_Buffer with
Abstract_State => (B_State with Part_Of => State),
Initializes => (B_State => Configuration.External_Variable)
is
function Get_Capacity return Natural;
private
Capacity : constant Natural := Configuration.External_Variable
with Part_Of => B_State;
end Ring_Buffer;
end Communication;
package body Communication with
Refined_State => (State => Ring_Buffer.B_State)
is
package body Ring_Buffer with
Refined_State => (B_State => Capacity)
is
function Get_Capacity return Natural is (Capacity);
end Ring_Buffer;
end Communication;
This program is correct and GNATprove is able to verify it.
Example #3
Package Counting defines two counters: Black_Counter and
Red_Counter. It provides separate initialization procedures for each,
both called from the main procedure.
package Counting with
Abstract_State => State
is
procedure Reset_Black_Count;
procedure Reset_Red_Count;
end Counting;
package body Counting with
Refined_State => (State => (Black_Counter, Red_Counter))
is
Black_Counter, Red_Counter : Natural;
procedure Reset_Black_Count is
begin
Black_Counter := 0;
end Reset_Black_Count;
procedure Reset_Red_Count is
begin
Red_Counter := 0;
end Reset_Red_Count;
end Counting;
with Counting; use Counting;
procedure Main is
begin
Reset_Black_Count;
Reset_Red_Count;
end Main;
This program doesn't read any uninitialized data, but GNATprove fails to
verify that. This is because we provided a state abstraction for package
Counting, so flow analysis computes the effects of subprograms in terms
of this state abstraction and thus considers State to be an in-out
global consisting of both Black_Counter and
Red_Counter. So it issues the message requiring that State be
initialized after elaboration as well as the warning that no procedure in
package Counting can initialize its state.
Example #4
Let's remove the abstract state on package Counting.
package Counting is
procedure Reset_Black_Count;
procedure Reset_Red_Count;
end Counting;
package body Counting is
Black_Counter, Red_Counter : Natural;
procedure Reset_Black_Count is
begin
Black_Counter := 0;
end Reset_Black_Count;
procedure Reset_Red_Count is
begin
Red_Counter := 0;
end Reset_Red_Count;
end Counting;
with Counting; use Counting;
procedure Main is
begin
Reset_Black_Count;
Reset_Red_Count;
end Main;
This example is correct. Because we didn't provide a state abstraction, GNATprove reasons in terms of variables, instead of states, and proves data initialization without any problem.
Example #5
Let's restore the abstract state to package Counting, but this time
provide a procedure Reset_All that calls the initialization procedures
Reset_Black_Counter and Reset_Red_Counter.
package Counting with
Abstract_State => State
is
procedure Reset_Black_Count with Global => (In_Out => State);
procedure Reset_Red_Count with Global => (In_Out => State);
procedure Reset_All with Global => (Output => State);
end Counting;
package body Counting with
Refined_State => (State => (Black_Counter, Red_Counter))
is
Black_Counter, Red_Counter : Natural;
procedure Reset_Black_Count is
begin
Black_Counter := 0;
end Reset_Black_Count;
procedure Reset_Red_Count is
begin
Red_Counter := 0;
end Reset_Red_Count;
procedure Reset_All is
begin
Reset_Black_Count;
Reset_Red_Count;
end Reset_All;
end Counting;
This example is correct. Flow analysis computes refined versions of
Global contracts for internal calls and uses these to verify that
Reset_All indeed properly initializes State. The
Refined_Global and Global annotations are not mandatory and
can be computed by GNATprove.
Example #6
Let's consider yet another version of our abstract stack unit.
package Stack with
Abstract_State => The_Stack
is
pragma Unevaluated_Use_Of_Old (Allow);
type Element is new Integer;
type Element_Array is array (Positive range <>) of Element;
Max : constant Natural := 100;
subtype Length_Type is Natural range 0 .. Max;
procedure Push (E : Element) with
Post =>
not Is_Empty and
(if Is_Full'Old then The_Stack = The_Stack'Old else Peek = E);
function Peek return Element with Pre => not Is_Empty;
function Is_Full return Boolean;
function Is_Empty return Boolean;
end Stack;
package body Stack with
Refined_State => (The_Stack => (Top, Content))
is
Top : Length_Type := 0;
Content : Element_Array (1 .. Max) := (others => 0);
procedure Push (E : Element) is
begin
Top := Top + 1;
Content (Top) := E;
end Push;
function Peek return Element is (Content (Top));
function Is_Full return Boolean is (Top >= Max);
function Is_Empty return Boolean is (Top = 0);
end Stack;
This example isn't correct. There's a compilation error in Push's
postcondition: The_Stack is a state abstraction, not a variable, and
therefore can't be used in an expression.
Example #7
In this version of our abstract stack unit, a copy of the stack is returned
by function Get_Stack, which we call in the postcondition of Push
to specify that the stack shouldn't be modified if it's full. We also
assert that after we push an element on the stack, either the stack is
unchanged (if it was already full) or its top element is equal to the
element just pushed.
package Stack with
Abstract_State => The_Stack
is
pragma Unevaluated_Use_Of_Old (Allow);
type Stack_Model is private;
type Element is new Integer;
type Element_Array is array (Positive range <>) of Element;
Max : constant Natural := 100;
subtype Length_Type is Natural range 0 .. Max;
function Peek return Element with Pre => not Is_Empty;
function Is_Full return Boolean;
function Is_Empty return Boolean;
function Get_Stack return Stack_Model;
procedure Push (E : Element) with
Post => not Is_Empty and
(if Is_Full'Old then Get_Stack = Get_Stack'Old else Peek = E);
private
type Stack_Model is record
Top : Length_Type := 0;
Content : Element_Array (1 .. Max) := (others => 0);
end record;
end Stack;
package body Stack with
Refined_State => (The_Stack => (Top, Content))
is
Top : Length_Type := 0;
Content : Element_Array (1 .. Max) := (others => 0);
procedure Push (E : Element) is
begin
if Top >= Max then
return;
end if;
Top := Top + 1;
Content (Top) := E;
end Push;
function Peek return Element is (Content (Top));
function Is_Full return Boolean is (Top >= Max);
function Is_Empty return Boolean is (Top = 0);
function Get_Stack return Stack_Model is (Stack_Model'(Top, Content));
end Stack;
with Stack; use Stack;
procedure Use_Stack (E : Element) with
Pre => not Is_Empty
is
F : Element := Peek;
begin
Push (E);
pragma Assert (Peek = E or Peek = F);
end Use_Stack;
This program is correct, but GNATprove can't prove the assertion in
Use_Stack. Indeed, even if Get_Stack is an expression function, its
body isn't visible outside of Stack's body, where it's defined.
Example #8
Let's move the definition of Get_Stack and other expression functions
inside the private part of the spec of Stack.
package Stack with
Abstract_State => The_Stack
is
pragma Unevaluated_Use_Of_Old (Allow);
type Stack_Model is private;
type Element is new Integer;
type Element_Array is array (Positive range <>) of Element;
Max : constant Natural := 100;
subtype Length_Type is Natural range 0 .. Max;
function Peek return Element with Pre => not Is_Empty;
function Is_Full return Boolean;
function Is_Empty return Boolean;
function Get_Stack return Stack_Model;
procedure Push (E : Element) with
Post => not Is_Empty and
(if Is_Full'Old then Get_Stack = Get_Stack'Old else Peek = E);
private
Top : Length_Type := 0 with Part_Of => The_Stack;
Content : Element_Array (1 .. Max) := (others => 0) with
Part_Of => The_Stack;
type Stack_Model is record
Top : Length_Type := 0;
Content : Element_Array (1 .. Max) := (others => 0);
end record;
function Peek return Element is (Content (Top));
function Is_Full return Boolean is (Top >= Max);
function Is_Empty return Boolean is (Top = 0);
function Get_Stack return Stack_Model is (Stack_Model'(Top, Content));
end Stack;
package body Stack with
Refined_State => (The_Stack => (Top, Content))
is
procedure Push (E : Element) is
begin
if Top >= Max then
return;
end if;
Top := Top + 1;
Content (Top) := E;
end Push;
end Stack;
with Stack; use Stack;
procedure Use_Stack (E : Element) with
Pre => not Is_Empty
is
F : Element := Peek;
begin
Push (E);
pragma Assert (Peek = E or Peek = F);
end Use_Stack;
This example is correct. GNATprove can verify the assertion in
Use_Stack because it has visibility to Get_Stack's body.
Example #9
Package Data defines three variables, Data_1, Data_2 and
Data_3, that are initialized at elaboration (in Data's package
body) from an external interface that reads the file system.
package External_Interface with
Abstract_State => File_System,
Initializes => File_System
is
type Data_Type_1 is new Integer;
type Data_Type_2 is new Integer;
type Data_Type_3 is new Integer;
type Data_Record is record
Field_1 : Data_Type_1;
Field_2 : Data_Type_2;
Field_3 : Data_Type_3;
end record;
procedure Read_Data (File_Name : String; Data : out Data_Record)
with Global => File_System;
end External_Interface;
with External_Interface; use External_Interface;
package Data with
Initializes => (Data_1, Data_2, Data_3)
is
pragma Elaborate_Body;
Data_1 : Data_Type_1;
Data_2 : Data_Type_2;
Data_3 : Data_Type_3;
end Data;
with External_Interface;
pragma Elaborate_All (External_Interface);
package body Data is
begin
declare
Data_Read : Data_Record;
begin
Read_Data ("data_file_name", Data_Read);
Data_1 := Data_Read.Field_1;
Data_2 := Data_Read.Field_2;
Data_3 := Data_Read.Field_3;
end;
end Data;
This example isn't correct. The dependency between Data_1's, Data_2's, and
Data_3's initial values and File_System must be listed in
Data's Initializes aspect.
Example #10
Let's remove the Initializes contract on package Data.
package External_Interface with
Abstract_State => File_System,
Initializes => File_System
is
type Data_Type_1 is new Integer;
type Data_Type_2 is new Integer;
type Data_Type_3 is new Integer;
type Data_Record is record
Field_1 : Data_Type_1;
Field_2 : Data_Type_2;
Field_3 : Data_Type_3;
end record;
procedure Read_Data (File_Name : String; Data : out Data_Record)
with Global => File_System;
end External_Interface;
with External_Interface; use External_Interface;
package Data is
pragma Elaborate_Body;
Data_1 : Data_Type_1;
Data_2 : Data_Type_2;
Data_3 : Data_Type_3;
end Data;
with External_Interface;
pragma Elaborate_All (External_Interface);
package body Data is
begin
declare
Data_Read : Data_Record;
begin
Read_Data ("data_file_name", Data_Read);
Data_1 := Data_Read.Field_1;
Data_2 := Data_Read.Field_2;
Data_3 := Data_Read.Field_3;
end;
end Data;
This example is correct. Since Data has no Initializes aspect,
GNATprove computes the set of variables initialized during its elaboration
as well as their dependencies.