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This refactors the base Python API to expose TermManager (related to previous refactor of the C++ API to expose TermManager in #10426).
156 lines
6.0 KiB
Python
156 lines
6.0 KiB
Python
#!/usr/bin/env python
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###############################################################################
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# Top contributors (to current version):
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# Mudathir Mohamed, Aina Niemetz, Alex Ozdemir
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#
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# This file is part of the cvc5 project.
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#
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# Copyright (c) 2009-2024 by the authors listed in the file AUTHORS
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# in the top-level source directory and their institutional affiliations.
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# All rights reserved. See the file COPYING in the top-level source
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# directory for licensing information.
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# #############################################################################
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#
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# A simple demonstration of the solving capabilities of the cvc5 relations solver
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# through the Python API. This is a direct translation of relations.cpp.
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##
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import cvc5
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from cvc5 import Kind
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if __name__ == "__main__":
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tm = cvc5.TermManager()
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solver = cvc5.Solver(tm)
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# Set the logic
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solver.setLogic("ALL")
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# options
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solver.setOption("produce-models", "true")
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# we need finite model finding to answer sat problems with universal
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# quantified formulas
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solver.setOption("finite-model-find", "true")
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# we need sets extension to support set.universe operator
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solver.setOption("sets-ext", "true")
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integer = tm.getIntegerSort()
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set_ = tm.mkSetSort(integer)
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# Verify union distributions over intersection
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# (A union B) intersection C = (A intersection C) union (B intersection C)
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# (declare-sort Person 0)
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personSort = tm.mkUninterpretedSort("Person")
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# (Tuple Person)
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tupleArity1 = tm.mkTupleSort(personSort)
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# (Relation Person)
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relationArity1 = tm.mkSetSort(tupleArity1)
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# (Tuple Person Person)
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tupleArity2 = tm.mkTupleSort(personSort, personSort)
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# (Relation Person Person)
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relationArity2 = tm.mkSetSort(tupleArity2)
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# empty set
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emptySetTerm = tm.mkEmptySet(relationArity1)
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# empty relation
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emptyRelationTerm = tm.mkEmptySet(relationArity2)
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# universe set
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universeSet = tm.mkUniverseSet(relationArity1)
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# variables
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people = tm.mkConst(relationArity1, "people")
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males = tm.mkConst(relationArity1, "males")
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females = tm.mkConst(relationArity1, "females")
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father = tm.mkConst(relationArity2, "father")
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mother = tm.mkConst(relationArity2, "mother")
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parent = tm.mkConst(relationArity2, "parent")
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ancestor = tm.mkConst(relationArity2, "ancestor")
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descendant = tm.mkConst(relationArity2, "descendant")
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isEmpty1 = tm.mkTerm(Kind.EQUAL, males, emptySetTerm)
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isEmpty2 = tm.mkTerm(Kind.EQUAL, females, emptySetTerm)
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# (assert (= people (as set.universe (Relation Person))))
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peopleAreTheUniverse = tm.mkTerm(Kind.EQUAL, people, universeSet)
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# (assert (not (= males (as set.empty (Relation Person)))))
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maleSetIsNotEmpty = tm.mkTerm(Kind.NOT, isEmpty1)
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# (assert (not (= females (as set.empty (Relation Person)))))
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femaleSetIsNotEmpty = tm.mkTerm(Kind.NOT, isEmpty2)
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# (assert (= (set.inter males females)
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# (as set.empty (Relation Person))))
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malesFemalesIntersection = tm.mkTerm(Kind.SET_INTER, males, females)
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malesAndFemalesAreDisjoint = \
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tm.mkTerm(Kind.EQUAL, malesFemalesIntersection, emptySetTerm)
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# (assert (not (= father (as set.empty (Relation Person Person)))))
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# (assert (not (= mother (as set.empty (Relation Person Person)))))
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isEmpty3 = tm.mkTerm(Kind.EQUAL, father, emptyRelationTerm)
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isEmpty4 = tm.mkTerm(Kind.EQUAL, mother, emptyRelationTerm)
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fatherIsNotEmpty = tm.mkTerm(Kind.NOT, isEmpty3)
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motherIsNotEmpty = tm.mkTerm(Kind.NOT, isEmpty4)
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# fathers are males
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# (assert (set.subset (rel.join father people) males))
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fathers = tm.mkTerm(Kind.RELATION_JOIN, father, people)
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fathersAreMales = tm.mkTerm(Kind.SET_SUBSET, fathers, males)
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# mothers are females
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# (assert (set.subset (rel.join mother people) females))
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mothers = tm.mkTerm(Kind.RELATION_JOIN, mother, people)
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mothersAreFemales = tm.mkTerm(Kind.SET_SUBSET, mothers, females)
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# (assert (= parent (set.union father mother)))
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unionFatherMother = tm.mkTerm(Kind.SET_UNION, father, mother)
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parentIsFatherOrMother = \
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tm.mkTerm(Kind.EQUAL, parent, unionFatherMother)
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# (assert (= ancestor (rel.tclosure parent)))
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transitiveClosure = tm.mkTerm(Kind.RELATION_TCLOSURE, parent)
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ancestorFormula = tm.mkTerm(Kind.EQUAL, ancestor, transitiveClosure)
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# (assert (= descendant (rel.transpose ancestor)))
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transpose = tm.mkTerm(Kind.RELATION_TRANSPOSE, ancestor)
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descendantFormula = tm.mkTerm(Kind.EQUAL, descendant, transpose)
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# (assert (forall ((x Person)) (not (set.member (tuple x x) ancestor))))
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x = tm.mkVar(personSort, "x")
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xxTuple = tm.mkTuple([x, x])
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member = tm.mkTerm(Kind.SET_MEMBER, xxTuple, ancestor)
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notMember = tm.mkTerm(Kind.NOT, member)
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quantifiedVariables = tm.mkTerm(Kind.VARIABLE_LIST, x)
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noSelfAncestor = tm.mkTerm(Kind.FORALL, quantifiedVariables, notMember)
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# formulas
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solver.assertFormula(peopleAreTheUniverse)
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solver.assertFormula(maleSetIsNotEmpty)
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solver.assertFormula(femaleSetIsNotEmpty)
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solver.assertFormula(malesAndFemalesAreDisjoint)
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solver.assertFormula(fatherIsNotEmpty)
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solver.assertFormula(motherIsNotEmpty)
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solver.assertFormula(fathersAreMales)
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solver.assertFormula(mothersAreFemales)
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solver.assertFormula(parentIsFatherOrMother)
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solver.assertFormula(descendantFormula)
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solver.assertFormula(ancestorFormula)
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solver.assertFormula(noSelfAncestor)
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# check sat
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result = solver.checkSat()
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# output
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print("Result = {}".format(result))
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print("people = {}".format(solver.getValue(people)))
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print("males = {}".format(solver.getValue(males)))
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print("females = {}".format(solver.getValue(females)))
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print("father = {}".format(solver.getValue(father)))
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print("mother = {}".format(solver.getValue(mother)))
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print("parent = {}".format(solver.getValue(parent)))
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print("descendant = {}".format(solver.getValue(descendant)))
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print("ancestor = {}".format(solver.getValue(ancestor)))
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