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Update model documentation #759

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118 changes: 101 additions & 17 deletions docs/sphinx_docs/Usage/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -24,22 +24,106 @@ Alt-Ergo supports file extensions:
See the [Input section] for more information about the format of the input files

### Generating models
Since 2.5.0, Alt-Ergo also generates models in the case it concludes on the satisfiability of
the formula.
There is two ways to activate model generation:

- with the `--model` option;

- `with the --interpretation=VALUE`, where VALUE can be equal to:
* "none", and alt-ergo will not generate models (by default);
* "first", and alt-ergo will output the first model it finds;
* "every", alt alt-ergo will compute a model before each decision
* "last", and alt-ergo will output the last model it computes before returning 'unknown'.
Note that this mode only works with the option `--sat-solver tableaux`.

NB: the `--model` option is equivalent to `--interpretation every --sat-solver tableaux`.

The default model format is the SMT format.
Alt-Ergo can generates best-effort models in the case it cannot conclude the unsatisfiability of
the context. The model format is a SMT-LIB compatible format, even if you use the native input language.

#### Activation

Model generation is disabled by default. There are two recommanded ways to enable it:
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- with the native language and the `--dump-models` option, Alt-Ergo tries to produce
a model after each `check_sat` that returns `I don't known` or
a counter-example after each `goal` it cannot prove `valid`. Note that both
`goal` and `check_sat` statements are independent in the native language.

- with the SMT-LIB language and the `--produce-models` option, Alt-Ergo tries to
produce a model after each `(check-sat)` that returns `unknown`. Models are output
on demand using the statement `(get-model)`.

Alternatively, you can enable model generation using the statement
`(set-option :produce-models true)`.
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#### Examples

Using the native language in the input file `INPUT.ae`:

```
logic a, b, c : int
axiom A : a <> c

check_sat c1: a = b + c
check_sat c2: a <> b
```
and the command `$ alt-ergo --dump-models INPUT.ae`, Alt-Ergo produces the
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output models:

```
; Model for c1
(
(define-fun a () Int 2)
(define-fun b () Int 2)
(define-fun c () Int 0)
)

; Model for c2
(
(define-fun a () Int 2)
(define-fun b () Int 0)
(define-fun c () Int 0)
)
```
*Note*: In this example the model for the statement `check_sat c2` is not a
model for the statement `check_sat c1` since `check_sat` are independent in
the native language. The same goes for `goals`.

Using the SMT-LIB language in the input file `INPUT.ae`:
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```
(set-logic ALL)
(declare-fun a () Int)
(declare-fun b () Int)
(declare-fun c () Int)

(assert (= a (+ b c)))
(check-sat)
(get-model)

(assert (distinct a b))
(check-sat)

```
and the command `$ alt-ergo --produce-models INPUT.smt2` produces the output model
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```
(
(define-fun a () Int 0)
(define-fun b () Int 0)
(define-fun c () Int 0)
)
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```

Alternatively, using the statement `(set-option :produce-models true)`
```
(set-logic ALL)
(set-option :produce-models true)
(declare-fun a () Int)
(declare-fun b () Int)
(declare-fun c () Int)

(assert (= a (+ b c)))
(check-sat)
(get-model)

```
and the command `$ alt-ergo --sat-solver tableaux INPUT.smt2` produces the output model
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```
(
(define-fun a () Int 0)
(define-fun b () Int 0)
(define-fun c () Int 0)
)
```
*Note*: you need to select the SAT solver Tableaux as the model generation is not
supported yet by the other SAT solvers. The options `--dump-models` and `--produce-models`
select the right SAT solver for you.
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Also needs --frontend dolmen (which --produce-models uses, but not --dump-models).

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This is still relevant, the text should mention --frontend dolmen.


### Output
The results of an Alt-ergo's execution have the following form :
Expand Down Expand Up @@ -138,7 +222,7 @@ The worker also take a Json file that correspond to the options to set in Alt-Er
"steps_bound": 1000 }
```

#### Outpus
#### Outputs

At the end of solving it returns a Json file corresponding to results, debug informations, etc:

Expand Down
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