Browse Source
Merge branch 'master' of https://sselab.de/lab9/private/git/MRMC/
Merge branch 'master' of https://sselab.de/lab9/private/git/MRMC/
Conflicts: src/modelChecker/DtmcPrctlModelChecker.h NOTE: makeRowsAbsorbing of SquareSparseMatrix did not return a value. To suppress the warning I added "return false", so that the program compiles for me with "-Werror", too.tempestpy_adaptions
Lanchid
12 years ago
7 changed files with 350 additions and 52 deletions
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1resources/3rdparty/log4cplus-1.1.0/src/liblog4cplus.0.dylib
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BINresources/3rdparty/log4cplus-1.1.0/src/liblog4cplus.0.dylib
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1resources/3rdparty/log4cplus-1.1.0/src/liblog4cplus.dylib
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BINresources/3rdparty/log4cplus-1.1.0/src/liblog4cplus.dylib
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162src/modelChecker/GmmxxDtmcPrctlModelChecker.h
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6src/mrmc.cpp
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73src/solver/GraphAnalyzer.h
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117src/storage/SquareSparseMatrix.h
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34src/utility/vector.h
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liblog4cplus.1.1.0.dylib |
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liblog4cplus.0.dylib |
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/* |
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* GmmxxDtmcPrctlModelChecker.h |
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* |
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* Created on: 06.12.2012 |
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* Author: Christian Dehnert |
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*/ |
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#ifndef GMMXXDTMCPRCTLMODELCHECKER_H_ |
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#define GMMXXDTMCPRCTLMODELCHECKER_H_ |
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#include "src/utility/vector.h" |
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#include "src/models/dtmc.h" |
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#include "src/solver/GraphAnalyzer.h" |
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#include "gmm/gmm_matrix.h" |
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#include "gmm/gmm_iter_solvers.h" |
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#include "log4cplus/logger.h" |
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#include "log4cplus/loggingmacros.h" |
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log4cplus::Logger logger; |
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namespace mrmc { |
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namespace modelChecker { |
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/* |
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* A model checking engine that makes use of the gmm++ backend. |
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*/ |
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template <class T> |
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class GmmxxDtmcPrctlModelChecker : public DtmcPrctlModelChecker<T> { |
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public: |
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explicit GmmxxDtmcPrctlModelChecker(const mrmc::models::Dtmc<T>* dtmc) : DtmcPrctlModelChecker(dtmc) { } |
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virtual ~GmmxxDtmcPrctlModelChecker() { } |
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virtual std::vector<T>* checkBoundedUntil(mrmc::formula::BoundedUntil<T>& formula) { |
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// First, we need to compute the states that satisfy the sub-formulas of the until-formula. |
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mrmc::storage::BitVector* leftStates = this->check(formula.getLeft()); |
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mrmc::storage::BitVector* rightStates = this->check(formula.getRight()); |
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// Copy the matrix before we make any changes. |
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mrmc::storage::SquareSparseMatrix<T>* tmpMatrix(dtmc.getTransitionProbabilityMatrix()); |
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// Make all rows absorbing that violate both sub-formulas or satisfy the second sub-formula. |
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tmpMatrix.makeRowsAbsorbing((~leftStates & rightStates) | rightStates); |
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// Transform the transition probability matrix to the gmm++ format to use its arithmetic. |
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gmm::csr_matrix<double>* gmmxxMatrix = tmpMatrix.toGMMXXSparseMatrix(); |
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// Create the vector with which to multiply. |
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std::vector<T>* result = new st::vector<T>(dtmc.getNumberOfStates()); |
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mrmc::utility::setVectorValue(result, *rightStates, 1); |
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// Now perform matrix-vector multiplication as long as we meet the bound of the formula. |
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for (uint_fast64_t i = 0; i < formula.getBound(); ++i) { |
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gmm::mult(*gmmxxMatrix, *result, *result); |
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} |
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// Delete intermediate results. |
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delete leftStates; |
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delete rightStates; |
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return result; |
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} |
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virtual std::vector<T>* checkNext(const mrmc::formula::Next<T>& formula) { |
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// First, we need to compute the states that satisfy the sub-formula of the next-formula. |
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mrmc::storage::BitVector* nextStates = this->check(formula.getChild()); |
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// Transform the transition probability matrix to the gmm++ format to use its arithmetic. |
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gmm::csr_matrix<double>* gmmxxMatrix = dtmc.getTransitionProbabilityMatrix()->toGMMXXSparseMatrix(); |
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// Create the vector with which to multiply and initialize it correctly. |
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std::vector<T> x(dtmc.getNumberOfStates()); |
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mrmc::utility::setVectorValue(x, nextStates, 1); |
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// Delete not needed next states bit vector. |
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delete nextStates; |
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// Create resulting vector. |
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std::vector<T>* result = new std::vector<T>(dtmc.getNumberOfStates()); |
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// Perform the actual computation. |
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gmm::mult(*gmmxxMatrix, x, *result); |
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// Delete temporary matrix and return result. |
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delete gmmxxMatrix; |
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return result; |
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} |
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virtual std::vector<T>* checkUntil(const mrmc::formula::Until<T>& formula) { |
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// First, we need to compute the states that satisfy the sub-formulas of the until-formula. |
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mrmc::storage::BitVector* leftStates = this->check(formula.getLeft()); |
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mrmc::storage::BitVector* rightStates = this->check(formula.getRight()); |
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// Then, we need to identify the states which have to be taken out of the matrix, i.e. |
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// all states that have probability 0 and 1 of satisfying the until-formula. |
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mrmc::storage::BitVector notExistsPhiUntilPsiStates(dtmc.getNumberOfStates()); |
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mrmc::storage::BitVector alwaysPhiUntilPsiStates(dtmc.getNumberOfStates()); |
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mrmc::solver::GraphAnalyzer::getPhiUntilPsiStates<double>(dtmc, *leftStates, *rightStates, ¬ExistsPhiUntilPsiStates, &alwaysPhiUntilPsiStates); |
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notExistsPhiUntilPsiStates->complement(); |
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delete leftStates; |
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delete rightStates; |
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LOG4CPLUS_INFO(logger, "Found " << notExistsPhiUntilPsiStates.getNumberOfSetBits() << " 'no' states."); |
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LOG4CPLUS_INFO(logger, "Found " << alwaysPhiUntilPsiStates.getNumberOfSetBits() << " 'yes' states."); |
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mrmc::storage::BitVector maybeStates = ~(notExistsPhiUntilPsiStates | alwaysPhiUntilPsiStates); |
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LOG4CPLUS_INFO(logger, "Found " << maybeStates.getNumberOfSetBits() << " maybe states."); |
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// Only try to solve system if there are states for which the probability is unknown. |
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if (maybeStates.getNumberOfSetBits() > 0) { |
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// Now we can eliminate the rows and columns from the original transition probability matrix. |
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mrmc::storage::SquareSparseMatrix<double>* submatrix = dtmc.getTransitionProbabilityMatrix()->getSubmatrix(maybeStates); |
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// Converting the matrix to the form needed for the equation system. That is, we go from |
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// x = A*x + b to (I-A)x = b. |
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submatrix->convertToEquationSystem(); |
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// Transform the submatrix to the gmm++ format to use its solvers. |
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gmm::csr_matrix<double>* gmmxxMatrix = submatrix->toGMMXXSparseMatrix(); |
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// Initialize the x vector with 0.5 for each element. This is the initial guess for |
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// the iterative solvers. It should be safe as for all 'maybe' states we know that the |
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// probability is strictly larger than 0. |
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std::vector<T>* x = new std::vector<T>(maybeStates.getNumberOfSetBits(), 0.5); |
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// Prepare the right-hand side of the equation system. For entry i this corresponds to |
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// the accumulated probability of going from state i to some 'yes' state. |
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std::vector<double> b(maybeStates.getNumberOfSetBits()); |
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dtmc.getTransitionProbabilityMatrix()->getConstrainedRowCountVector(maybeStates, alwaysPhiUntilPsiStates, &x); |
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// Set up the precondition of the iterative solver. |
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gmm::ilu_precond<gmm::csr_matrix<double>> P(*gmmxxMatrix); |
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// Prepare an iteration object that determines the accuracy, maximum number of iterations |
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// and the like. |
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gmm::iteration iter(0.000001); |
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// Now do the actual solving. |
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LOG4CPLUS_INFO(logger, "Starting iterations..."); |
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gmm::bicgstab(*gmmxxMatrix, x, b, P, iter); |
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LOG4CPLUS_INFO(logger, "Done with iterations."); |
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// Create resulting vector and set values accordingly. |
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std::vector<T>* result = new std::vector<T>(dtmc.getNumberOfStates()); |
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mrmc::utility::setVectorValues<std::vector<T>>(result, maybeStates, x); |
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// Delete temporary matrix and return result. |
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delete x; |
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delete gmmxxMatrix; |
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} |
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mrmc::utility::setVectorValue<std::vector<T>>(result, notExistsPhiUntilPsiStates, 0); |
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mrmc::utility::setVectorValue<std::vector<T>>(result, alwaysPhiUntilPsiStates, 1); |
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return result; |
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} |
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}; |
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#endif /* GMMXXDTMCPRCTLMODELCHECKER_H_ */ |
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/* |
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* vector.h |
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* |
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* Created on: 06.12.2012 |
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* Author: Christian Dehnert |
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*/ |
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#ifndef VECTOR_H_ |
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#define VECTOR_H_ |
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namespace mrmc { |
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namespace utility { |
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template<T> |
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void setVectorValues(std::vector<T>* vector, const mrmc::storage::BitVector& positions, std::vector<T>* values) { |
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uint_fast64_t oldPosition = 0; |
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for (auto position : positions) { |
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vector[position] = values[oldPosition++]; |
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} |
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} |
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template<T> |
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void setVectorValue(std::vector<T>* vector, const mrmc::storage::BitVector& positions, T value) { |
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for (auto position : positions) { |
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vector[position] = value; |
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} |
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} |
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} //namespace utility |
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} //namespace mrmc |
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#endif /* VECTOR_H_ */ |
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