//===-- ImpliedValue.cpp --------------------------------------------------===// // // The KLEE Symbolic Virtual Machine // // This file is distributed under the University of Illinois Open Source // License. See LICENSE.TXT for details. // //===----------------------------------------------------------------------===// #include "ImpliedValue.h" #include "Context.h" #include "klee/Expr/Constraints.h" #include "klee/Expr/Expr.h" #include "klee/Expr/ExprUtil.h" #include "klee/Solver/Solver.h" #include "klee/Support/IntEvaluation.h" // FIXME: Use APInt #include #include using namespace klee; // XXX we really want to do some sort of canonicalization of exprs // globally so that cases below become simpler void ImpliedValue::getImpliedValues(ref e, ref value, ImpliedValueList &results) { switch (e->getKind()) { case Expr::Constant: { assert(value == cast(e) && "error in implied value calculation"); break; } // Special case Expr::NotOptimized: break; case Expr::Read: { // XXX in theory it is possible to descend into a symbolic index // under certain circumstances (all values known, known value // unique, or range known, max / min hit). Seems unlikely this // would work often enough to be worth the effort. ReadExpr *re = cast(e); results.push_back(std::make_pair(re, value)); break; } case Expr::Select: { // not much to do, could improve with range analysis SelectExpr *se = cast(e); if (ConstantExpr *TrueCE = dyn_cast(se->trueExpr)) { if (ConstantExpr *FalseCE = dyn_cast(se->falseExpr)) { if (TrueCE != FalseCE) { if (value == TrueCE) { getImpliedValues(se->cond, ConstantExpr::alloc(1, Expr::Bool), results); } else { assert(value == FalseCE && "err in implied value calculation"); getImpliedValues(se->cond, ConstantExpr::alloc(0, Expr::Bool), results); } } } } break; } case Expr::Concat: { ConcatExpr *ce = cast(e); getImpliedValues(ce->getKid(0), value->Extract(ce->getKid(1)->getWidth(), ce->getKid(0)->getWidth()), results); getImpliedValues(ce->getKid(1), value->Extract(0, ce->getKid(1)->getWidth()), results); break; } case Expr::Extract: { // XXX, could do more here with "some bits" mask break; } // Casting case Expr::ZExt: case Expr::SExt: { CastExpr *ce = cast(e); getImpliedValues(ce->src, value->Extract(0, ce->src->getWidth()), results); break; } // Arithmetic case Expr::Add: { // constants on left BinaryExpr *be = cast(e); // C_0 + A = C => A = C - C_0 if (ConstantExpr *CE = dyn_cast(be->left)) getImpliedValues(be->right, value->Sub(CE), results); break; } case Expr::Sub: { // constants on left BinaryExpr *be = cast(e); // C_0 - A = C => A = C_0 - C if (ConstantExpr *CE = dyn_cast(be->left)) getImpliedValues(be->right, CE->Sub(value), results); break; } case Expr::Mul: { // FIXME: Can do stuff here, but need valid mask and other things because of // bits that might be lost. break; } case Expr::UDiv: case Expr::SDiv: case Expr::URem: case Expr::SRem: break; // Binary case Expr::And: { BinaryExpr *be = cast(e); if (be->getWidth() == Expr::Bool) { if (value->isTrue()) { getImpliedValues(be->left, value, results); getImpliedValues(be->right, value, results); } } else { // FIXME; We can propogate a mask here where we know "some bits". May or // may not be useful. } break; } case Expr::Or: { BinaryExpr *be = cast(e); if (value->isZero()) { getImpliedValues(be->left, 0, results); getImpliedValues(be->right, 0, results); } else { // FIXME: Can do more? } break; } case Expr::Xor: { BinaryExpr *be = cast(e); if (ConstantExpr *CE = dyn_cast(be->left)) getImpliedValues(be->right, value->Xor(CE), results); break; } // Comparison case Expr::Ne: value = value->Not(); /* fallthru */ case Expr::Eq: { EqExpr *ee = cast(e); if (value->isTrue()) { if (ConstantExpr *CE = dyn_cast(ee->left)) getImpliedValues(ee->right, CE, results); } else { // Look for limited value range. // // In general anytime one side was restricted to two values we can apply // this trick. The only obvious case where this occurs, aside from // booleans, is as the result of a select expression where the true and // false branches are single valued and distinct. if (ConstantExpr *CE = dyn_cast(ee->left)) if (CE->getWidth() == Expr::Bool) getImpliedValues(ee->right, CE->Not(), results); } break; } default: break; } } void ImpliedValue::checkForImpliedValues(Solver *S, ref e, ref value) { std::vector > reads; std::map, ref > found; ImpliedValueList results; getImpliedValues(e, value, results); for (auto &i : results) { auto it = found.find(i.first); if (it != found.end()) { assert(it->second == i.second && "Invalid ImpliedValue!"); } else { found.insert(std::make_pair(i.first, i.second)); } } findReads(e, false, reads); std::set< ref > readsSet(reads.begin(), reads.end()); reads = std::vector< ref >(readsSet.begin(), readsSet.end()); ConstraintSet assumption; assumption.push_back(EqExpr::create(e, value)); // obscure... we need to make sure that all the read indices are // bounds checked. if we don't do this we can end up constructing // invalid counterexamples because STP will happily make out of // bounds indices which will not get picked up. this is of utmost // importance if we are being backed by the CexCachingSolver. for (std::vector< ref >::iterator i = reads.begin(), ie = reads.end(); i != ie; ++i) { ReadExpr *re = i->get(); assumption.push_back(UltExpr::create(re->index, ConstantExpr::alloc(re->updates.root->size, Context::get().getPointerWidth()))); } for (const auto &var : reads) { ref possible; bool success = S->getValue(Query(assumption, var), possible); (void)success; assert(success && "FIXME: Unhandled solver failure"); std::map, ref >::iterator it = found.find(var); bool res; success = S->mustBeTrue(Query(assumption, EqExpr::create(var, possible)), res); assert(success && "FIXME: Unhandled solver failure"); if (res) { if (it != found.end()) { assert(possible == it->second && "Invalid ImpliedValue!"); found.erase(it); } } else { if (it!=found.end()) { ref binding = it->second; llvm::errs() << "checkForImpliedValues: " << e << " = " << value << "\n" << "\t\t implies " << var << " == " << binding << " (error)\n"; assert(0); } } } assert(found.empty()); }