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--------------------------- MODULE Apalache -----------------------------------
(*
* This is a standard module for use with the Apalache model checker.
* The meaning of the operators is explained in the comments.
* Many of the operators serve as additional annotations of their arguments.
* As we like to preserve compatibility with TLC and TLAPS, we define the
* operator bodies by erasure. The actual interpretation of the operators is
* encoded inside Apalache. For the moment, these operators are mirrored in
* the class at.forsyte.apalache.tla.lir.oper.ApalacheOper.
*
* Igor Konnov, Jure Kukovec, Informal Systems 2020-2021
*)
(**
* An assignment of an expression e to a state variable x. Typically, one
* uses the non-primed version of x in the initializing predicate Init and
* the primed version of x (that is, x') in the transition predicate Next.
* Although TLA+ does not have a concept of a variable assignment, we find
* this concept extremely useful for symbolic model checking. In pure TLA+,
* one would simply write x = e, or x \in {e}.
*
* Apalache automatically converts some expressions of the form
* x = e or x \in {e} into assignments. However, if you like to annotate
* assignments by hand, you can use this operator.
*
* For a further discussion on that matter, see:
* https://github.com/informalsystems/apalache/blob/ik/idiomatic-tla/docs/idiomatic/assignments.md
*)
x := e == x = e
(**
* A generator of a data structure. Given a positive integer `bound`, and
* assuming that the type of the operator application is known, we
* recursively generate a TLA+ data structure as a tree, whose width is
* bound by the number `bound`.
*
* The body of this operator is redefined by Apalache.
*)
Gen(size) == {}
(**
* Convert a set of pairs S to a function F. Note that if S contains at least
* two pairs <<x, y>> and <<u, v>> such that x = u and y /= v,
* then F is not uniquely defined. We use CHOOSE to resolve this ambiguity.
* Apalache implements a more efficient encoding of this operator
* than the default one.
*
* @type: Set(<<a, b>>) => (a -> b);
*)
SetAsFun(S) ==
LET Dom == { x: <<x, y>> \in S }
Rng == { y: <<x, y>> \in S }
IN
[ x \in Dom |-> CHOOSE y \in Rng: <<x, y>> \in S ]
(**
* As TLA+ is untyped, one can use function- and sequence-specific operators
* interchangeably. However, to maintain correctness w.r.t. our type-system,
* an explicit cast is needed when using functions as sequences.
*)
LOCAL INSTANCE Sequences
FunAsSeq(fn, maxSeqLen) == SubSeq(fn, 1, maxSeqLen)
(**
* Annotating an expression \E x \in S: P as Skolemizable. That is, it can
* be replaced with an expression c \in S /\ P(c) for a fresh constant c.
* Not every exisential can be replaced with a constant, this should be done
* with care. Apalache detects Skolemizable expressions by static analysis.
*)
Skolem(e) == e
(**
* A hint to the model checker to expand a set S, instead of dealing
* with it symbolically. Apalache finds out which sets have to be expanded
* by static analysis.
*)
Expand(S) == S
(**
* A hint to the model checker to replace its argument Cardinality(S) >= k
* with a series of existential quantifiers for a constant k.
* Similar to Skolem, this has to be done carefully. Apalache automatically
* places this hint by static analysis.
*)
ConstCardinality(cardExpr) == cardExpr
(**
* The folding operator, used to implement computation over a set.
* Apalache implements a more efficient encoding than the one below.
* (from the community modules).
*)
RECURSIVE FoldSet(_,_,_)
FoldSet( Op(_,_), v, S ) == IF S = {}
THEN v
ELSE LET w == CHOOSE x \in S: TRUE
IN LET T == S \ {w}
IN FoldSet( Op, Op(v,w), T )
(**
* The folding operator, used to implement computation over a sequence.
* Apalache implements a more efficient encoding than the one below.
* (from the community modules).
*)
RECURSIVE FoldSeq(_,_,_)
FoldSeq( Op(_,_), v, seq ) == IF seq = <<>>
THEN v
ELSE FoldSeq( Op, Op(v,Head(seq)), Tail(seq) )
===============================================================================