A slice solver prunes the set of active assertions based on symbol occurrences in a goal that is tracked as a @query.
Ground assertions that have symbols intersecting with the query are included in the solver state, and quantifiers that with patterns that intersect with the slice are included. The slice is the fixedpoint of including symbols from all included assertions.
Enable the functionality for command-line use by setting solver.slice=true
simplify assumptions and only replay assumptions after constraints are simplified. This allows simplifying assumptions with the current set of constraints independently of whether there is another check-sat.
this will allow copying the solver state within a scope.
The new solver state has its state at level 0. It is not possible to pop scopes from the new solver (you can still pop scopes from the original solver). The reason for this semantics is the relative difficulty of implementing (getting it right) of a state copy that preserves scopes.
Add the ability to customize incremental pre-processing simplification for the SMTLIB2 front-end. The main new capability is to use pre-processing tactics in incremental mode that were previously not available. The main new capabilities are
- solve-eqs
- reduce-args
- elim-unconstrained
There are several more. Documentation and exposed simplifiers are populated incrementally. The current set of supported simplifiers can be inspected by using z3 with the --simplifiers flag or referring to https://microsoft.github.io/z3guide/docs/strategies/simplifiers
Some pending features are:
- add the ability to update parameters to simplifiers similar to how tactics can be controlled using parameters.
- expose simplification solvers over the binary API.
move sat_smt_preprocess to solver
fix bugs in model_reconstruction_trail for dependency replay
This is a preparatory step for exposing pre-processing as tactics.
This update includes an experimental feature to access a congruence closure data-structure after search.
It comes with several caveats as pre-processing is free to eliminate terms. It is therefore necessary to use a solver that does not eliminate the terms you want to track for congruence of. This is partially addressed by using SimpleSolver or incremental mode solving.
```python
from z3 import *
s = SimpleSolver()
x, y, z = Ints('x y z')
s.add(x == y)
s.add(y == z)
s.check()
print(s.root(x), s.root(y), s.root(z))
print(s.next(x), s.next(y), s.next(z))
```
- add sat.smt option to enable the new incremental core (it is not ready for mainstream consumption as cloning and other features are not implemented and it hasn't been tested in any detail yet).
- move "name" into attribute on simplifier so it can be reused for diagnostics by the seq-simplifier.
#6319 - fix incompleteness in propagation of default to all array terms in the equivalence class.
Fix bug with q_mbi where domain restrictions are not using values because the current model does not evaluate certain bound variables to values. Set model completion when adding these bound variables to the model to ensure their values are not missed.
Add better propagation of diagnostics when tactics and the new solver return unknown. The reason for unknown can now be traced to what theory was culprit (currently no additional information)
- add option smt.bv.reduce_size.
- it allows to apply incremental pre-processing of bit-vectors by identifying ranges that are known to be constant.
This rewrite is beneficial, for instance, when bit-vectors are constrained to have many high-level bits set to 0.
- add solver.axioms2files
- prints negated theory axioms to files. Each file should be unsat
- add solver.lemmas2console
- prints lemmas to the console.
- remove option smt.arith.dump_lemmas. It is replaced by solver.axioms2files
