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/******************************************************************************
* Top contributors (to current version):
* Yoni Zohar, Gereon Kremer, Andrew Reynolds
*
* This file is part of the cvc5 project.
*
* Copyright (c) 2009-2021 by the authors listed in the file AUTHORS
* in the top-level source directory and their institutional affiliations.
* All rights reserved. See the file COPYING in the top-level source
* directory for licensing information.
* ****************************************************************************
*
* The static learning preprocessing pass.
*/
#include "preprocessing/passes/static_learning.h"
#include <string>
#include "expr/node.h"
#include "preprocessing/assertion_pipeline.h"
#include "preprocessing/preprocessing_pass_context.h"
#include "theory/rewriter.h"
#include "theory/theory_engine.h"
namespace cvc5 {
namespace preprocessing {
namespace passes {
StaticLearning::StaticLearning(PreprocessingPassContext* preprocContext)
: PreprocessingPass(preprocContext, "static-learning"){};
PreprocessingPassResult StaticLearning::applyInternal(
AssertionPipeline* assertionsToPreprocess)
{
d_preprocContext->spendResource(Resource::PreprocessStep);
for (unsigned i = 0; i < assertionsToPreprocess->size(); ++i)
{
NodeBuilder learned(kind::AND);
learned << (*assertionsToPreprocess)[i];
d_preprocContext->getTheoryEngine()->ppStaticLearn(
(*assertionsToPreprocess)[i], learned);
if (learned.getNumChildren() == 1)
{
learned.clear();
}
else
{
assertionsToPreprocess->replace(i, rewrite(learned.constructNode()));
}
}
return PreprocessingPassResult::NO_CONFLICT;
}
} // namespace passes
} // namespace preprocessing
} // namespace cvc5
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