mirror of
https://github.com/AdaCore/cvc5.git
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c93de62d8b
Previously, we were using io.github.cvc5.api to mirror the C++ namespace that the API was in. The namespace of the C++ API changed to simply cvc5 and so this commit updates the Java package accordingly.
104 lines
4.4 KiB
Java
104 lines
4.4 KiB
Java
/******************************************************************************
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* Top contributors (to current version):
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* Andres Noetzli
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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) 2009-2021 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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* An example of solving floating-point problems with cvc5's Java API
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*
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* This example shows to create floating-point types, variables and expressions,
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* and how to create rounding mode constants by solving toy problems. The
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* example also shows making special values (such as NaN and +oo) and converting
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* an IEEE 754-2008 bit-vector to a floating-point number.
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*/
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import static io.github.cvc5.Kind.*;
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import io.github.cvc5.*;
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public class FloatingPointArith
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{
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public static void main(String[] args) throws CVC5ApiException
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{
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try (Solver solver = new Solver())
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{
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solver.setOption("produce-models", "true");
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// Make single precision floating-point variables
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Sort fpt32 = solver.mkFloatingPointSort(8, 24);
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Term a = solver.mkConst(fpt32, "a");
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Term b = solver.mkConst(fpt32, "b");
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Term c = solver.mkConst(fpt32, "c");
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Term d = solver.mkConst(fpt32, "d");
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Term e = solver.mkConst(fpt32, "e");
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// Assert that floating-point addition is not associative:
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// (a + (b + c)) != ((a + b) + c)
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Term rm = solver.mkRoundingMode(RoundingMode.ROUND_NEAREST_TIES_TO_EVEN);
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Term lhs = solver.mkTerm(
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Kind.FLOATINGPOINT_ADD, rm, a, solver.mkTerm(Kind.FLOATINGPOINT_ADD, rm, b, c));
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Term rhs = solver.mkTerm(
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Kind.FLOATINGPOINT_ADD, rm, solver.mkTerm(Kind.FLOATINGPOINT_ADD, rm, a, b), c);
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solver.assertFormula(solver.mkTerm(Kind.NOT, solver.mkTerm(Kind.EQUAL, a, b)));
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Result r = solver.checkSat(); // result is sat
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assert r.isSat();
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System.out.println("a = " + solver.getValue(a));
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System.out.println("b = " + solver.getValue(b));
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System.out.println("c = " + solver.getValue(c));
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// Now, let's restrict `a` to be either NaN or positive infinity
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Term nan = solver.mkFloatingPointNaN(8, 24);
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Term inf = solver.mkFloatingPointPosInf(8, 24);
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solver.assertFormula(solver.mkTerm(
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Kind.OR, solver.mkTerm(Kind.EQUAL, a, inf), solver.mkTerm(Kind.EQUAL, a, nan)));
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r = solver.checkSat(); // result is sat
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assert r.isSat();
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System.out.println("a = " + solver.getValue(a));
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System.out.println("b = " + solver.getValue(b));
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System.out.println("c = " + solver.getValue(c));
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// And now for something completely different. Let's try to find a (normal)
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// floating-point number that rounds to different integer values for
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// different rounding modes.
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Term rtp = solver.mkRoundingMode(RoundingMode.ROUND_TOWARD_POSITIVE);
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Term rtn = solver.mkRoundingMode(RoundingMode.ROUND_TOWARD_NEGATIVE);
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Op op = solver.mkOp(Kind.FLOATINGPOINT_TO_SBV, 16); // (_ fp.to_sbv 16)
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lhs = solver.mkTerm(op, rtp, d);
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rhs = solver.mkTerm(op, rtn, d);
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solver.assertFormula(solver.mkTerm(Kind.FLOATINGPOINT_IS_NORMAL, d));
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solver.assertFormula(solver.mkTerm(Kind.NOT, solver.mkTerm(Kind.EQUAL, lhs, rhs)));
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r = solver.checkSat(); // result is sat
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assert r.isSat();
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// Convert the result to a rational and print it
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Term val = solver.getValue(d);
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Term realVal = solver.getValue(solver.mkTerm(FLOATINGPOINT_TO_REAL, val));
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System.out.println("d = " + val + " = " + realVal);
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System.out.println("((_ fp.to_sbv 16) RTP d) = " + solver.getValue(lhs));
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System.out.println("((_ fp.to_sbv 16) RTN d) = " + solver.getValue(rhs));
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// For our final trick, let's try to find a floating-point number between
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// positive zero and the smallest positive floating-point number
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Term zero = solver.mkFloatingPointPosZero(8, 24);
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Term smallest = solver.mkFloatingPoint(8, 24, solver.mkBitVector(32, 0b001));
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solver.assertFormula(solver.mkTerm(Kind.AND,
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solver.mkTerm(Kind.FLOATINGPOINT_LT, zero, e),
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solver.mkTerm(Kind.FLOATINGPOINT_LT, e, smallest)));
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r = solver.checkSat(); // result is unsat
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assert !r.isSat();
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}
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}
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}
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