stash

.vscode/launch.json

@@ -0,0 +1,17 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Current File",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "args": ["programs/a.lp"],
+            "console": "integratedTerminal",
+            "justMyCode": true
+        }
+    ]
+}

NOTES.md

@@ -0,0 +1,4 @@
+# Technical issues
+- Clingo may or may not choose to propagate DL atoms before the ontology tells it to.
+- Symbols for atoms are not always present in the control object (E.g. a rule `a :- a`)     
+Current workaround is to use signature (which don't get removed). This may have implications about what can be grounded.

ontology.py

@@ -1,10 +1,15 @@
-from typing import Set
+from typing import Iterable, Set
 
-models = (
+models = None
-    {"a", "b", "c"},
+
-)
+DL_ATOMS = "abc"
+
+
+def set_models(alphabet: Iterable[str], v: Iterable[Iterable[str]]):
+    global models, DL_ATOMS
+    DL_ATOMS = "".join(alphabet)
+    models = tuple(set(model) for model in v)
 
-DL_ATOMS = set.union(*models)
 
 def propagate(atoms: Set[str]) -> Set[str]:
     atoms = atoms.intersection(DL_ATOMS)
@@ -14,7 +19,7 @@ def propagate(atoms: Set[str]) -> Set[str]:
         return set()
     return first.intersection(*sub_models)
 
+
 def check(atoms: Set[str]) -> bool:
     atoms = atoms.intersection(DL_ATOMS)
     return atoms in models
-

programs/a.py

@@ -0,0 +1,6 @@
+"ab"
+(
+"a",
+"b",
+"ab",
+)

propagator.py

@@ -1,9 +1,7 @@
-from copy import deepcopy
 from itertools import chain
-from operator import getitem
+from typing import Iterable, List, Set, Tuple
-from typing import Iterable, List, Tuple
-from functools import partial
 import clingo
+from more_itertools import partition
 from clingo import (
     PropagateControl,
     PropagateInit,
@@ -11,8 +9,6 @@ from clingo import (
     PropagatorCheckMode,
     Assignment,
     Symbol,
-    Control,
-    TheoryAtom,
 )
 
 
@@ -28,7 +24,7 @@ No way to strict atoms except through adding nogoods/clauses?
 import ontology as O
 
 
-class Ontology:
+class OntologyPropagator:
     def init(self, init: PropagateInit) -> None:
         init.check_mode = PropagatorCheckMode.Total
 
@@ -38,6 +34,8 @@ class Ontology:
             init.solver_literal(atom.literal): str(atom.symbol)
             for atom in init.symbolic_atoms
         }
+        # Note that Clingo will (sometimes?) probably use the same solver literals for theory and symbolic atoms
+        # But storing them separately is safer
         self.theory_atoms = {
             init.solver_literal(atom.literal): atom.elements[0].terms[0].name
             for atom in init.theory_atoms
@@ -57,6 +55,7 @@ class Ontology:
             theory_lit = self.theory_atoms_inv[theory_atom]
             symbolic_lit = self.symbolic_atoms_inv[theory_atom]
 
+            # This is already implied if the symbolic and theory literals are the same
             init.add_clause((-symbolic_lit, theory_lit))
 
     def truthy_atoms_text(self):
@@ -80,30 +79,64 @@ class Ontology:
             if not self.assignment[atom]
         )
 
-    def assign_nogood_true(self, pcontrol: PropagateControl, lits: Iterable[int]):
+    def print_nogood(self, nogood: Tuple[int, ...]):
-        not_lits = (-lit for lit in lits)
+        print("adding nogood: ", end="")
-        assignment = (
+        names = (
-            lit if is_pos else -lit
+            self.symbolic_atoms.get(abs(lit), self.theory_atoms.get(abs(lit)))
-            for lit, is_pos in chain(
+            for lit in nogood
-                self.symbolic_atoms.items(), self.theory_atoms.items()
+        )
+        print(
+            " ".join(
+                f"(not {name})" if lit < 0 else f"({name})"
+                for lit, name in zip(nogood, names)
             )
         )
-        pcontrol.add_nogood(chain(assignment, not_lits))
+
+    def assign_nogood_true(self, pcontrol: PropagateControl, lits: Iterable[int]):
+        not_lits = set(-lit for lit in lits)
+        assert len(not_lits)
+        assignment = set(self.assignment_lits())
+        a = set(map(abs, not_lits))
+        b = set(map(abs, assignment))
+        assert len(a | b) == (len(a) + len(b))
+
+        nogood = tuple(chain(assignment, not_lits))
+        self.print_nogood(nogood)
+        pcontrol.add_nogood(nogood)
+
+    def assignment_lits(self):
+        return (lit if is_pos else -lit for lit, is_pos in self.assignment.items())
+
+    def conflict(self, pcontrol: PropagateControl):
+        print("conflict: ", end="")
+        self.print_assignment()
+        pcontrol.add_nogood(self.assignment_lits())
 
     def propagate(self, pcontrol: PropagateControl, changes) -> None:
-        print("propagate: ", end="")
-        self.print_assignment()
         for change in changes:
             atom = abs(change)
             assert atom not in self.assignment
             self.assignment[atom] = change >= 0
 
         in_atoms = set(self.truthy_atoms_text())
+
+        print("made truthy: ", " ".join(in_atoms))
+
         out_atoms = set(self.atom_text_to_dl_atom(O.propagate(in_atoms)))
         new_atoms = out_atoms - in_atoms
 
-        self.assign_nogood_true(pcontrol, new_atoms)
+        l = lambda atom: atom in self.assignment
+        new_atoms, prev_new_atoms = map(tuple, partition(l, new_atoms))
+
+        if any(not self.assignment[atom] for atom in prev_new_atoms):
+            self.conflict(pcontrol)
+        elif len(new_atoms):
+            self.assign_nogood_true(pcontrol, new_atoms)
+        else:
+            return
         pcontrol.propagate()
+        print("propagate: ", end="")
+        self.print_assignment()
 
     def undo(self, thread_id: int, assignment: Assignment, changes: List[int]):
         for change in changes:
@@ -113,6 +146,9 @@ class Ontology:
     def check(self, pcontrol: PropagateControl) -> None:
         print("check: ", end="")
         self.print_assignment()
+        in_atoms = set(self.truthy_atoms_text())
+        if not O.check(in_atoms):
+            self.conflict(pcontrol)
 
     def print_assignment(self):
         print("assignment: ", end="")
@@ -142,11 +178,6 @@ class Ontology:
         return None, False, False
 
 
-program = """
-a :- not b.
-b :- not a.
-"""
-
 # Need to ground program before we can look up symbolic atoms and
 # Having two waves of grounding might be having some weird effects
 # So we parse and ground and then revert back to text then reparse
@@ -161,25 +192,57 @@ def add_external_atoms(program: str) -> str:
     &o/0 : kterm, any
 }.
 """
+    # Using .signatures here because symbols is unreliable
+    # E.g. a rule with the single rule `a :- a.` will not generate a symbol for an atom
     external_atoms = "\n".join(
         f"{atom} :- &o{{{atom}}}."
-        for atom in (str(atom.symbol) for atom in control.symbolic_atoms)
+        for atom in (sig for sig, _, _ in control.symbolic_atoms.signatures)
     )
-    return theory_grammar + program + external_atoms
+    return theory_grammar + program + "\n" + external_atoms
 
 
-program = add_external_atoms(program)
+def solve(program: str, O_alphabet: Iterable[str], O_models: Iterable[Iterable[str]]):
-print(program)
+    O.set_models(O_alphabet, O_models)
-control = clingo.Control(["0"])
+    program = add_external_atoms(program)
-propagator = Ontology()
+    print("USING ONTOLOGY WITH ALPHABET AND MODELS:")
-control.register_propagator(propagator)
+    print(O_alphabet)
-control.add("base", [], program)
+    print(O_models)
-control.ground([("base", [])])
+    print("USING PROGRAM:")
+    print(program)
+    control = clingo.Control(["0"])
+    propagator = OntologyPropagator()
+    control.register_propagator(propagator)
+    control.add("base", [], program)
+    control.ground([("base", [])])
 
-# control.add("external", [], theory_grammar + external_atoms)
+    answer_sets = []
 
-# control.ground([("external", [])])
+    with control.solve(yield_=True) as solve_handle:
+        for model in solve_handle:
+            print("answer set:", model)
+            answer_sets.append(str(model))
 
-with control.solve(yield_=True) as solve_handle:
+    print()
-    for model in solve_handle:
+    if len(answer_sets):
-        print("answer set:", model)
+        print("ALL FINISHED, ALL ANSWER SETS:")
+        print(*answer_sets, sep="\n")
+    else:
+        print("ALL DONE, NO ANSWER SETS")
+
+
+def main():
+    from sys import argv
+    from os.path import splitext
+
+    assert len(argv) == 2, "Please provide an .lp file as an argument"
+    lp_filename = argv[1]
+    models_filename = splitext(lp_filename)[0] + ".py"
+    with open(lp_filename, "rt", encoding="utf8") as lp_fo:
+        with open(models_filename, "rt", encoding="utf8") as models_fo:
+            alphabet = eval(models_fo.readline())
+            models = eval(models_fo.read())
+            solve(lp_fo.read(), alphabet, models)
+
+
+if __name__ == "__main__":
+    main()