doc: add an index file

This commit is contained in:
Simon Cruanes 2019-11-27 16:56:36 -06:00
parent 40464e4fe7
commit 87a2936f75
2 changed files with 125 additions and 0 deletions

4
src/dune Normal file
View file

@ -0,0 +1,4 @@
(documentation
(package msat)
(mld_files :standard))

121
src/index.mld Normal file
View file

@ -0,0 +1,121 @@
{1 mSAT: a Modular SAT Solver}
(The entry point of this library is the module: {!module-Msat}.)
A modular implementation of the SMT algorithm can be found in the {!Msat.Solver} module,
as a functor which takes two modules :
- A representation of formulas (which implements the `Formula_intf.S` signature)
- A theory (which implements the `Theory_intf.S` signature) to check consistence of assertions.
- A dummy empty module to ensure generativity of the solver (solver modules heavily relies on
side effects to their internal state)
{3 Sat Solver}
A ready-to-use SAT solver is available in the {!Msat_sat} module
using the [msat.sat] library (see {!module-Msat_sat}). It can be loaded
as shown in the following code :
{[
# #require "msat";;
# #require "msat.sat";;
# #print_depth 0;; (* do not print details *)
]}
Then we can create a solver and create some boolean variables:
{[
module Sat = Msat_sat
module E = Sat.Int_lit (* expressions *)
let solver = Sat.create()
(* We create here two distinct atoms *)
let a = E.fresh () (* A 'new_atom' is always distinct from any other atom *)
let b = E.make 1 (* Atoms can be created from integers *)
]}
We can try and check the satisfiability of some clauses — here, the clause [a or b].
[Sat.assume] adds a list of clauses to the solver. Calling [Sat.solve]
will check the satisfiability of the current set of clauses, here "Sat".
{[
# a <> b;;
- : bool = true
# Sat.assume solver [[a; b]] ();;
- : unit = ()
# let res = Sat.solve solver;;
val res : Sat.res = Sat.Sat ...
]}
The Sat solver has an incremental mutable state, so we still have
the clause `a or b` in our assumptions.
We add `not a` and `not b` to the state, and get "Unsat".
{[
# Sat.assume solver [[E.neg a]; [E.neg b]] () ;;
- : unit = ()
# let res = Sat.solve solver ;;
val res : Sat.res = Sat.Unsat ...
]}
{3 Formulas API}
Writing clauses by hand can be tedious and error-prone.
The functor {!Msat_tseitin.Make} in the library [msat.tseitin] (see {!module-Msat_tseitin}).
proposes a formula AST (parametrized by
atoms) and a function to convert these formulas into clauses:
{[
# #require "msat.tseitin";;
]}
{[
(* Module initialization *)
module F = Msat_tseitin.Make(E)
let solver = Sat.create ()
(* We create here two distinct atoms *)
let a = E.fresh () (* A fresh atom is always distinct from any other atom *)
let b = E.make 1 (* Atoms can be created from integers *)
(* Let's create some formulas *)
let p = F.make_atom a
let q = F.make_atom b
let r = F.make_and [p; q]
let s = F.make_or [F.make_not p; F.make_not q]
]}
We can try and check the satisfiability of the given formulas, by turning
it into clauses using `make_cnf`:
{[
# Sat.assume solver (F.make_cnf r) ();;
- : unit = ()
# Sat.solve solver;;
- : Sat.res = Sat.Sat ...
]}
{[
# Sat.assume solver (F.make_cnf s) ();;
- : unit = ()
# Sat.solve solver ;;
- : Sat.res = Sat.Unsat ...
]}
{3 Backtracking utils}
The library {!module-Msat_backtrack} contains some backtrackable
data structures that are useful for implementing theories.
{3 Library msat.backend}
This is used for proof backends:
The entry point of this library is the module:
{!module-Msat_backend}.