Formatting with Google style
parent
13b0136e03
commit
d27d6b60a7
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@ -5,26 +5,23 @@
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* @author Frank Dellaert
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*/
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#include <gtsam_unstable/discrete/Domain.h>
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#include <gtsam_unstable/discrete/AllDiff.h>
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#include <gtsam/base/Testable.h>
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#include <gtsam_unstable/discrete/AllDiff.h>
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#include <gtsam_unstable/discrete/Domain.h>
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#include <boost/make_shared.hpp>
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namespace gtsam {
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/* ************************************************************************* */
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AllDiff::AllDiff(const DiscreteKeys& dkeys) :
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Constraint(dkeys.indices()) {
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for(const DiscreteKey& dkey: dkeys)
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cardinalities_.insert(dkey);
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AllDiff::AllDiff(const DiscreteKeys& dkeys) : Constraint(dkeys.indices()) {
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for (const DiscreteKey& dkey : dkeys) cardinalities_.insert(dkey);
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}
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/* ************************************************************************* */
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void AllDiff::print(const std::string& s,
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const KeyFormatter& formatter) const {
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void AllDiff::print(const std::string& s, const KeyFormatter& formatter) const {
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std::cout << s << "AllDiff on ";
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for (Key dkey: keys_)
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std::cout << formatter(dkey) << " ";
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for (Key dkey : keys_) std::cout << formatter(dkey) << " ";
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std::cout << std::endl;
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}
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@ -41,7 +38,8 @@ namespace gtsam {
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/* ************************************************************************* */
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DecisionTreeFactor AllDiff::toDecisionTreeFactor() const {
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// We will do this by converting the allDif into many BinaryAllDiff constraints
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// We will do this by converting the allDif into many BinaryAllDiff
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// constraints
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DecisionTreeFactor converted;
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size_t nrKeys = keys_.size();
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for (size_t i1 = 0; i1 < nrKeys; i1++)
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@ -59,7 +57,8 @@ namespace gtsam {
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}
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/* ************************************************************************* */
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bool AllDiff::ensureArcConsistency(size_t j, std::vector<Domain>& domains) const {
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bool AllDiff::ensureArcConsistency(size_t j,
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std::vector<Domain>& domains) const {
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// Though strictly not part of allDiff, we check for
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// a value in domains[j] that does not occur in any other connected domain.
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// If found, we make this a singleton...
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@ -101,8 +100,7 @@ namespace gtsam {
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DiscreteFactor::Values known;
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for (Key k : keys_) {
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const Domain& Dk = domains[k];
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if (Dk.isSingleton())
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known[k] = Dk.firstValue();
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if (Dk.isSingleton()) known[k] = Dk.firstValue();
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}
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return partiallyApply(known);
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}
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@ -7,8 +7,8 @@
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#pragma once
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#include <gtsam_unstable/discrete/BinaryAllDiff.h>
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#include <gtsam/discrete/DiscreteKey.h>
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#include <gtsam_unstable/discrete/BinaryAllDiff.h>
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namespace gtsam {
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@ -20,7 +20,6 @@ namespace gtsam {
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* keep the Indices locally, and the Indices are stored in IndexFactor.
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*/
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class GTSAM_UNSTABLE_EXPORT AllDiff : public Constraint {
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std::map<Key, size_t> cardinalities_;
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DiscreteKey discreteKey(size_t i) const {
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@ -29,13 +28,12 @@ namespace gtsam {
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}
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public:
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/// Constructor
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AllDiff(const DiscreteKeys& dkeys);
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// print
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void print(const std::string& s = "",
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const KeyFormatter& formatter = DefaultKeyFormatter) const override;
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void print(const std::string& s = "", const KeyFormatter& formatter =
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DefaultKeyFormatter) const override;
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/// equals
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bool equals(const DiscreteFactor& other, double tol) const override {
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return false;
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else {
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const AllDiff& f(static_cast<const AllDiff&>(other));
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return cardinalities_.size() == f.cardinalities_.size()
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&& std::equal(cardinalities_.begin(), cardinalities_.end(),
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return cardinalities_.size() == f.cardinalities_.size() &&
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std::equal(cardinalities_.begin(), cardinalities_.end(),
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f.cardinalities_.begin());
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}
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}
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@ -65,13 +63,15 @@ namespace gtsam {
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* @param j domain to be checked
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* @param domains all other domains
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*/
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bool ensureArcConsistency(size_t j, std::vector<Domain>& domains) const override;
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bool ensureArcConsistency(size_t j,
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std::vector<Domain>& domains) const override;
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/// Partially apply known values
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Constraint::shared_ptr partiallyApply(const Values&) const override;
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/// Partially apply known values, domain version
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Constraint::shared_ptr partiallyApply(const std::vector<Domain>&) const override;
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Constraint::shared_ptr partiallyApply(
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const std::vector<Domain>&) const override;
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};
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} // namespace gtsam
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@ -7,9 +7,9 @@
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#pragma once
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#include <gtsam_unstable/discrete/Domain.h>
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#include <gtsam_unstable/discrete/Constraint.h>
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#include <gtsam/discrete/DecisionTreeFactor.h>
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#include <gtsam_unstable/discrete/Constraint.h>
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#include <gtsam_unstable/discrete/Domain.h>
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namespace gtsam {
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* keep the Indices locally, and the Indices are stored in IndexFactor.
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*/
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class BinaryAllDiff : public Constraint {
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size_t cardinality0_, cardinality1_; /// cardinality
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public:
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/// Constructor
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BinaryAllDiff(const DiscreteKey& key1, const DiscreteKey& key2) :
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Constraint(key1.first, key2.first),
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cardinality0_(key1.second), cardinality1_(key2.second) {
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}
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BinaryAllDiff(const DiscreteKey& key1, const DiscreteKey& key2)
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: Constraint(key1.first, key2.first),
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cardinality0_(key1.second),
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cardinality1_(key2.second) {}
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// print
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void print(const std::string& s = "",
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void print(
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const std::string& s = "",
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const KeyFormatter& formatter = DefaultKeyFormatter) const override {
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std::cout << s << "BinaryAllDiff on " << formatter(keys_[0]) << " and "
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<< formatter(keys_[1]) << std::endl;
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return false;
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else {
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const BinaryAllDiff& f(static_cast<const BinaryAllDiff&>(other));
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return (cardinality0_==f.cardinality0_) && (cardinality1_==f.cardinality1_);
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return (cardinality0_ == f.cardinality0_) &&
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(cardinality1_ == f.cardinality1_);
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}
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}
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keys.push_back(DiscreteKey(keys_[1], cardinality1_));
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std::vector<double> table;
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for (size_t i1 = 0; i1 < cardinality0_; i1++)
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for (size_t i2 = 0; i2 < cardinality1_; i2++)
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table.push_back(i1 != i2);
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for (size_t i2 = 0; i2 < cardinality1_; i2++) table.push_back(i1 != i2);
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DecisionTreeFactor converted(keys, table);
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return converted;
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}
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* @param j domain to be checked
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* @param domains all other domains
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*/
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///
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bool ensureArcConsistency(size_t j, std::vector<Domain>& domains) const override {
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bool ensureArcConsistency(size_t j,
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std::vector<Domain>& domains) const override {
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// throw std::runtime_error(
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// "BinaryAllDiff::ensureArcConsistency not implemented");
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return false;
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* @author Frank Dellaert
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*/
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#include <gtsam_unstable/discrete/Domain.h>
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#include <gtsam_unstable/discrete/CSP.h>
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#include <gtsam/base/Testable.h>
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#include <gtsam_unstable/discrete/CSP.h>
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#include <gtsam_unstable/discrete/Domain.h>
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using namespace std;
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return mpe;
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}
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void CSP::runArcConsistency(size_t cardinality, size_t nrIterations, bool print) const {
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void CSP::runArcConsistency(size_t cardinality, size_t nrIterations,
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bool print) const {
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// Create VariableIndex
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VariableIndex index(*this);
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// index.print();
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// if not already a singleton
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if (!domains[v].isSingleton()) {
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// get the constraint and call its ensureArcConsistency method
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Constraint::shared_ptr constraint = boost::dynamic_pointer_cast<Constraint>((*this)[f]);
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if (!constraint) throw runtime_error("CSP:runArcConsistency: non-constraint factor");
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changed[v] = constraint->ensureArcConsistency(v,domains) || changed[v];
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Constraint::shared_ptr constraint =
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boost::dynamic_pointer_cast<Constraint>((*this)[f]);
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if (!constraint)
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throw runtime_error("CSP:runArcConsistency: non-constraint factor");
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changed[v] =
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constraint->ensureArcConsistency(v, domains) || changed[v];
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}
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} // f
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if (changed[v]) anyChange = true;
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// KeyOrdering ordering;
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// vector<Index> dkeys;
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for (const DiscreteFactor::shared_ptr& f : factors_) {
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Constraint::shared_ptr constraint = boost::dynamic_pointer_cast<Constraint>(f);
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if (!constraint) throw runtime_error("CSP:runArcConsistency: non-constraint factor");
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Constraint::shared_ptr constraint =
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boost::dynamic_pointer_cast<Constraint>(f);
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if (!constraint)
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throw runtime_error("CSP:runArcConsistency: non-constraint factor");
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Constraint::shared_ptr reduced = constraint->partiallyApply(domains);
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if (print) reduced->print();
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}
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#endif
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}
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} // gtsam
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} // namespace gtsam
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#pragma once
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#include <gtsam/discrete/DiscreteFactorGraph.h>
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#include <gtsam_unstable/discrete/AllDiff.h>
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#include <gtsam_unstable/discrete/SingleValue.h>
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#include <gtsam/discrete/DiscreteFactorGraph.h>
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namespace gtsam {
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*/
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class GTSAM_UNSTABLE_EXPORT CSP : public DiscreteFactorGraph {
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public:
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/** A map from keys to values */
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typedef KeyVector Indices;
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typedef Assignment<Key> Values;
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typedef boost::shared_ptr<Values> sharedValues;
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public:
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// /// Constructor
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// CSP() {
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// }
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/// Add a binary AllDiff constraint
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void addAllDiff(const DiscreteKey& key1, const DiscreteKey& key2) {
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boost::shared_ptr<BinaryAllDiff> factor(
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new BinaryAllDiff(key1, key2));
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boost::shared_ptr<BinaryAllDiff> factor(new BinaryAllDiff(key1, key2));
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push_back(factor);
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}
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// * whether any satisfying separator assignment can be found.
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// * This corresponds to hyper-arc consistency in CSP speak.
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// * This can be done by creating a mini-factor graph and search.
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// * For a nine-by-nine Sudoku, the search tree will be 8+6+6=20 levels deep.
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// * For a nine-by-nine Sudoku, the search tree will be 8+6+6=20 levels
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// deep.
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// * It will be very expensive to exclude values that way.
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// */
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// void applyBeliefPropagation(size_t nrIterations = 10) const;
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bool print = false) const;
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}; // CSP
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} // gtsam
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} // namespace gtsam
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#pragma once
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#include <gtsam_unstable/dllexport.h>
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#include <gtsam/discrete/DiscreteFactor.h>
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#include <gtsam_unstable/dllexport.h>
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#include <boost/assign.hpp>
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namespace gtsam {
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* The most general one is the derived DecisionTreeFactor
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*/
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class Constraint : public DiscreteFactor {
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public:
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typedef boost::shared_ptr<Constraint> shared_ptr;
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protected:
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/// Construct n-way factor
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Constraint(const KeyVector& js) :
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DiscreteFactor(js) {
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}
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Constraint(const KeyVector& js) : DiscreteFactor(js) {}
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/// Construct unary factor
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Constraint(Key j) :
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DiscreteFactor(boost::assign::cref_list_of<1>(j)) {
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}
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Constraint(Key j) : DiscreteFactor(boost::assign::cref_list_of<1>(j)) {}
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/// Construct binary factor
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Constraint(Key j1, Key j2) :
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DiscreteFactor(boost::assign::cref_list_of<2>(j1)(j2)) {
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}
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Constraint(Key j1, Key j2)
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: DiscreteFactor(boost::assign::cref_list_of<2>(j1)(j2)) {}
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/// construct from container
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template <class KeyIterator>
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Constraint(KeyIterator beginKey, KeyIterator endKey) :
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DiscreteFactor(beginKey, endKey) {
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}
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Constraint(KeyIterator beginKey, KeyIterator endKey)
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: DiscreteFactor(beginKey, endKey) {}
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public:
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/// @name Standard Constructors
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/// @{
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* @param j domain to be checked
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* @param domains all other domains
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*/
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virtual bool ensureArcConsistency(size_t j, std::vector<Domain>& domains) const = 0;
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virtual bool ensureArcConsistency(size_t j,
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std::vector<Domain>& domains) const = 0;
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/// Partially apply known values
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virtual shared_ptr partiallyApply(const Values&) const = 0;
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/// Partially apply known values, domain version
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virtual shared_ptr partiallyApply(const std::vector<Domain>&) const = 0;
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/// @}
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@ -5,9 +5,10 @@
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* @author Frank Dellaert
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*/
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#include <gtsam_unstable/discrete/Domain.h>
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#include <gtsam/discrete/DecisionTreeFactor.h>
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#include <gtsam/base/Testable.h>
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#include <gtsam/discrete/DecisionTreeFactor.h>
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#include <gtsam_unstable/discrete/Domain.h>
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#include <boost/make_shared.hpp>
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namespace gtsam {
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using namespace std;
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/* ************************************************************************* */
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void Domain::print(const string& s,
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const KeyFormatter& formatter) const {
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void Domain::print(const string& s, const KeyFormatter& formatter) const {
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// cout << s << ": Domain on " << formatter(keys_[0]) << " (j=" <<
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// formatter(keys_[0]) << ") with values";
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// for (size_t v: values_) cout << " " << v;
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DiscreteKeys keys;
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keys += DiscreteKey(keys_[0], cardinality_);
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vector<double> table;
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for (size_t i1 = 0; i1 < cardinality_; ++i1)
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table.push_back(contains(i1));
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for (size_t i1 = 0; i1 < cardinality_; ++i1) table.push_back(contains(i1));
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DecisionTreeFactor converted(keys, table);
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return converted;
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}
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// for all connected domains
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for (Key k : keys)
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// if any domain contains the value we cannot make this domain singleton
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if (k!=j && domains[k].contains(value))
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goto found;
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if (k != j && domains[k].contains(value)) goto found;
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values_.clear();
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values_.insert(value);
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return true; // we changed it
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}
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/* ************************************************************************* */
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Constraint::shared_ptr Domain::partiallyApply(
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const Values& values) const {
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Constraint::shared_ptr Domain::partiallyApply(const Values& values) const {
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Values::const_iterator it = values.find(keys_[0]);
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if (it != values.end() && !contains(it->second)) throw runtime_error(
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"Domain::partiallyApply: unsatisfiable");
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if (it != values.end() && !contains(it->second))
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throw runtime_error("Domain::partiallyApply: unsatisfiable");
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return boost::make_shared<Domain>(*this);
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}
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@ -87,8 +84,8 @@ namespace gtsam {
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Constraint::shared_ptr Domain::partiallyApply(
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const vector<Domain>& domains) const {
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const Domain& Dk = domains[keys_[0]];
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if (Dk.isSingleton() && !contains(*Dk.begin())) throw runtime_error(
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"Domain::partiallyApply: unsatisfiable");
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if (Dk.isSingleton() && !contains(*Dk.begin()))
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throw runtime_error("Domain::partiallyApply: unsatisfiable");
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return boost::make_shared<Domain>(Dk);
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}
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@ -7,8 +7,8 @@
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#pragma once
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#include <gtsam_unstable/discrete/Constraint.h>
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#include <gtsam/discrete/DiscreteKey.h>
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#include <gtsam_unstable/discrete/Constraint.h>
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namespace gtsam {
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|
||||
|
@ -16,58 +16,44 @@ namespace gtsam {
|
|||
* Domain restriction constraint
|
||||
*/
|
||||
class GTSAM_UNSTABLE_EXPORT Domain : public Constraint {
|
||||
|
||||
size_t cardinality_; /// Cardinality
|
||||
std::set<size_t> values_; /// allowed values
|
||||
|
||||
public:
|
||||
|
||||
typedef boost::shared_ptr<Domain> shared_ptr;
|
||||
|
||||
// Constructor on Discrete Key initializes an "all-allowed" domain
|
||||
Domain(const DiscreteKey& dkey) :
|
||||
Constraint(dkey.first), cardinality_(dkey.second) {
|
||||
for (size_t v = 0; v < cardinality_; v++)
|
||||
values_.insert(v);
|
||||
Domain(const DiscreteKey& dkey)
|
||||
: Constraint(dkey.first), cardinality_(dkey.second) {
|
||||
for (size_t v = 0; v < cardinality_; v++) values_.insert(v);
|
||||
}
|
||||
|
||||
// Constructor on Discrete Key with single allowed value
|
||||
// Consider SingleValue constraint
|
||||
Domain(const DiscreteKey& dkey, size_t v) :
|
||||
Constraint(dkey.first), cardinality_(dkey.second) {
|
||||
Domain(const DiscreteKey& dkey, size_t v)
|
||||
: Constraint(dkey.first), cardinality_(dkey.second) {
|
||||
values_.insert(v);
|
||||
}
|
||||
|
||||
/// Constructor
|
||||
Domain(const Domain& other) :
|
||||
Constraint(other.keys_[0]), values_(other.values_) {
|
||||
}
|
||||
Domain(const Domain& other)
|
||||
: Constraint(other.keys_[0]), values_(other.values_) {}
|
||||
|
||||
/// insert a value, non const :-(
|
||||
void insert(size_t value) {
|
||||
values_.insert(value);
|
||||
}
|
||||
void insert(size_t value) { values_.insert(value); }
|
||||
|
||||
/// erase a value, non const :-(
|
||||
void erase(size_t value) {
|
||||
values_.erase(value);
|
||||
}
|
||||
void erase(size_t value) { values_.erase(value); }
|
||||
|
||||
size_t nrValues() const {
|
||||
return values_.size();
|
||||
}
|
||||
size_t nrValues() const { return values_.size(); }
|
||||
|
||||
bool isSingleton() const {
|
||||
return nrValues() == 1;
|
||||
}
|
||||
bool isSingleton() const { return nrValues() == 1; }
|
||||
|
||||
size_t firstValue() const {
|
||||
return *values_.begin();
|
||||
}
|
||||
size_t firstValue() const { return *values_.begin(); }
|
||||
|
||||
// print
|
||||
void print(const std::string& s = "",
|
||||
const KeyFormatter& formatter = DefaultKeyFormatter) const override;
|
||||
void print(const std::string& s = "", const KeyFormatter& formatter =
|
||||
DefaultKeyFormatter) const override;
|
||||
|
||||
/// equals
|
||||
bool equals(const DiscreteFactor& other, double tol) const override {
|
||||
|
@ -79,9 +65,7 @@ namespace gtsam {
|
|||
}
|
||||
}
|
||||
|
||||
bool contains(size_t value) const {
|
||||
return values_.count(value)>0;
|
||||
}
|
||||
bool contains(size_t value) const { return values_.count(value) > 0; }
|
||||
|
||||
/// Calculate value
|
||||
double operator()(const Values& values) const override;
|
||||
|
@ -97,11 +81,13 @@ namespace gtsam {
|
|||
* @param j domain to be checked
|
||||
* @param domains all other domains
|
||||
*/
|
||||
bool ensureArcConsistency(size_t j, std::vector<Domain>& domains) const override;
|
||||
bool ensureArcConsistency(size_t j,
|
||||
std::vector<Domain>& domains) const override;
|
||||
|
||||
/**
|
||||
* Check for a value in domain that does not occur in any other connected domain.
|
||||
* If found, we make this a singleton... Called in AllDiff::ensureArcConsistency
|
||||
* Check for a value in domain that does not occur in any other connected
|
||||
* domain. If found, we make this a singleton... Called in
|
||||
* AllDiff::ensureArcConsistency
|
||||
* @param keys connected domains through alldiff
|
||||
*/
|
||||
bool checkAllDiff(const KeyVector keys, std::vector<Domain>& domains);
|
||||
|
|
|
@ -5,24 +5,22 @@
|
|||
* @author Frank Dellaert
|
||||
*/
|
||||
|
||||
#include <gtsam_unstable/discrete/Scheduler.h>
|
||||
#include <gtsam/discrete/DiscreteFactorGraph.h>
|
||||
#include <gtsam/base/debug.h>
|
||||
#include <gtsam/base/timing.h>
|
||||
#include <gtsam/discrete/DiscreteFactorGraph.h>
|
||||
#include <gtsam_unstable/discrete/Scheduler.h>
|
||||
|
||||
#include <boost/tokenizer.hpp>
|
||||
|
||||
#include <cmath>
|
||||
#include <fstream>
|
||||
#include <iomanip>
|
||||
#include <cmath>
|
||||
|
||||
namespace gtsam {
|
||||
|
||||
using namespace std;
|
||||
|
||||
Scheduler::Scheduler(size_t maxNrStudents, const string& filename):
|
||||
maxNrStudents_(maxNrStudents)
|
||||
{
|
||||
Scheduler::Scheduler(size_t maxNrStudents, const string& filename)
|
||||
: maxNrStudents_(maxNrStudents) {
|
||||
typedef boost::tokenizer<boost::escaped_list_separator<char> > Tokenizer;
|
||||
|
||||
// open file
|
||||
|
@ -38,8 +36,7 @@ namespace gtsam {
|
|||
if (getline(is, line, '\r')) {
|
||||
Tokenizer tok(line);
|
||||
Tokenizer::iterator it = tok.begin();
|
||||
for (++it; it != tok.end(); ++it)
|
||||
addFaculty(*it);
|
||||
for (++it; it != tok.end(); ++it) addFaculty(*it);
|
||||
}
|
||||
|
||||
// for all remaining lines
|
||||
|
@ -50,16 +47,15 @@ namespace gtsam {
|
|||
Tokenizer::iterator it = tok.begin();
|
||||
addSlot(*it++); // add slot
|
||||
// add availability
|
||||
for (; it != tok.end(); ++it)
|
||||
available_ += (it->empty()) ? "0 " : "1 ";
|
||||
for (; it != tok.end(); ++it) available_ += (it->empty()) ? "0 " : "1 ";
|
||||
available_ += '\n';
|
||||
}
|
||||
} // constructor
|
||||
|
||||
/** addStudent has to be called after adding slots and faculty */
|
||||
void Scheduler::addStudent(const string& studentName,
|
||||
const string& area1, const string& area2,
|
||||
const string& area3, const string& advisor) {
|
||||
void Scheduler::addStudent(const string& studentName, const string& area1,
|
||||
const string& area2, const string& area3,
|
||||
const string& advisor) {
|
||||
assert(nrStudents() < maxNrStudents_);
|
||||
assert(facultyInArea_.count(area1));
|
||||
assert(facultyInArea_.count(area2));
|
||||
|
@ -82,7 +78,8 @@ namespace gtsam {
|
|||
}
|
||||
|
||||
/** get key for student and area, 0 is time slot itself */
|
||||
const DiscreteKey& Scheduler::key(size_t s, boost::optional<size_t> area) const {
|
||||
const DiscreteKey& Scheduler::key(size_t s,
|
||||
boost::optional<size_t> area) const {
|
||||
return area ? students_[s].keys_[*area] : students_[s].key_;
|
||||
}
|
||||
|
||||
|
@ -102,7 +99,8 @@ namespace gtsam {
|
|||
}
|
||||
|
||||
/** Add student-specific constraints to the graph */
|
||||
void Scheduler::addStudentSpecificConstraints(size_t i, boost::optional<size_t> slot) {
|
||||
void Scheduler::addStudentSpecificConstraints(size_t i,
|
||||
boost::optional<size_t> slot) {
|
||||
bool debug = ISDEBUG("Scheduler::buildGraph");
|
||||
|
||||
assert(i < nrStudents());
|
||||
|
@ -116,7 +114,6 @@ namespace gtsam {
|
|||
|
||||
// For all areas
|
||||
for (size_t area = 0; area < 3; area++) {
|
||||
|
||||
DiscreteKey areaKey = s.keys_[area];
|
||||
const string& areaName = s.areaName_[area];
|
||||
|
||||
|
@ -133,7 +130,8 @@ namespace gtsam {
|
|||
// get all constraints then specialize to slot
|
||||
size_t dummyIndex = maxNrStudents_ * 3 + maxNrStudents_;
|
||||
DiscreteKey dummy(dummyIndex, nrTimeSlots());
|
||||
Potentials::ADT p(dummy & areaKey, available_); // available_ is Doodle string
|
||||
Potentials::ADT p(dummy & areaKey,
|
||||
available_); // available_ is Doodle string
|
||||
Potentials::ADT q = p.choose(dummyIndex, *slot);
|
||||
DiscreteFactor::shared_ptr f(new DecisionTreeFactor(areaKey, q));
|
||||
CSP::push_back(f);
|
||||
|
@ -147,23 +145,20 @@ namespace gtsam {
|
|||
addAllDiff(s.keys_[0] & s.keys_[1] & s.keys_[2]);
|
||||
}
|
||||
|
||||
|
||||
/** Main routine that builds factor graph */
|
||||
void Scheduler::buildGraph(size_t mutexBound) {
|
||||
bool debug = ISDEBUG("Scheduler::buildGraph");
|
||||
|
||||
if (debug) cout << "Adding student-specific constraints" << endl;
|
||||
for (size_t i = 0; i < nrStudents(); i++)
|
||||
addStudentSpecificConstraints(i);
|
||||
for (size_t i = 0; i < nrStudents(); i++) addStudentSpecificConstraints(i);
|
||||
|
||||
// special constraint for MN
|
||||
if (studentName(0) == "Michael N") CSP::add(studentKey(0),
|
||||
"0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1");
|
||||
if (studentName(0) == "Michael N")
|
||||
CSP::add(studentKey(0), "0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1");
|
||||
|
||||
if (!mutexBound) {
|
||||
DiscreteKeys dkeys;
|
||||
for(const Student& s: students_)
|
||||
dkeys.push_back(s.key_);
|
||||
for (const Student& s : students_) dkeys.push_back(s.key_);
|
||||
addAllDiff(dkeys);
|
||||
} else {
|
||||
if (debug) cout << "Mutex for Students" << endl;
|
||||
|
@ -180,31 +175,26 @@ namespace gtsam {
|
|||
/** print */
|
||||
void Scheduler::print(const string& s, const KeyFormatter& formatter) const {
|
||||
cout << s << " Faculty:" << endl;
|
||||
for(const string& name: facultyName_)
|
||||
cout << name << '\n';
|
||||
for (const string& name : facultyName_) cout << name << '\n';
|
||||
cout << endl;
|
||||
|
||||
cout << s << " Slots:\n";
|
||||
size_t i = 0;
|
||||
for(const string& name: slotName_)
|
||||
cout << i++ << " " << name << endl;
|
||||
for (const string& name : slotName_) cout << i++ << " " << name << endl;
|
||||
cout << endl;
|
||||
|
||||
cout << "Availability:\n" << available_ << '\n';
|
||||
|
||||
cout << s << " Area constraints:\n";
|
||||
for(const FacultyInArea::value_type& it: facultyInArea_)
|
||||
{
|
||||
for (const FacultyInArea::value_type& it : facultyInArea_) {
|
||||
cout << setw(12) << it.first << ": ";
|
||||
for(double v: it.second)
|
||||
cout << v << " ";
|
||||
for (double v : it.second) cout << v << " ";
|
||||
cout << '\n';
|
||||
}
|
||||
cout << endl;
|
||||
|
||||
cout << s << " Students:\n";
|
||||
for (const Student& student: students_)
|
||||
student.print();
|
||||
for (const Student& student : students_) student.print();
|
||||
cout << endl;
|
||||
|
||||
CSP::print(s + " Factor graph");
|
||||
|
@ -240,8 +230,8 @@ namespace gtsam {
|
|||
}
|
||||
|
||||
/** Accumulate faculty stats */
|
||||
void Scheduler::accumulateStats(sharedValues assignment, vector<
|
||||
size_t>& stats) const {
|
||||
void Scheduler::accumulateStats(sharedValues assignment,
|
||||
vector<size_t>& stats) const {
|
||||
for (size_t s = 0; s < nrStudents(); s++) {
|
||||
Key base = 3 * s;
|
||||
for (size_t area = 0; area < 3; area++) {
|
||||
|
@ -258,9 +248,9 @@ namespace gtsam {
|
|||
// TODO: fix this!!
|
||||
size_t maxKey = keys().size();
|
||||
Ordering defaultKeyOrdering;
|
||||
for (size_t i = 0; i<maxKey; ++i)
|
||||
defaultKeyOrdering += Key(i);
|
||||
DiscreteBayesNet::shared_ptr chordal = this->eliminateSequential(defaultKeyOrdering);
|
||||
for (size_t i = 0; i < maxKey; ++i) defaultKeyOrdering += Key(i);
|
||||
DiscreteBayesNet::shared_ptr chordal =
|
||||
this->eliminateSequential(defaultKeyOrdering);
|
||||
gttoc(my_eliminate);
|
||||
return chordal;
|
||||
}
|
||||
|
@ -297,6 +287,4 @@ namespace gtsam {
|
|||
return best;
|
||||
}
|
||||
|
||||
} // gtsam
|
||||
|
||||
|
||||
} // namespace gtsam
|
||||
|
|
|
@ -19,9 +19,7 @@ namespace gtsam {
|
|||
* The "area" variables determine which faculty are on his/her committee.
|
||||
*/
|
||||
class GTSAM_UNSTABLE_EXPORT Scheduler : public CSP {
|
||||
|
||||
private:
|
||||
|
||||
/** Internal data structure for students */
|
||||
struct Student {
|
||||
std::string name_;
|
||||
|
@ -29,15 +27,14 @@ namespace gtsam {
|
|||
std::vector<DiscreteKey> keys_; // key for areas
|
||||
std::vector<std::string> areaName_;
|
||||
std::vector<double> advisor_;
|
||||
Student(size_t nrFaculty, size_t advisorIndex) :
|
||||
keys_(3), areaName_(3), advisor_(nrFaculty, 1.0) {
|
||||
Student(size_t nrFaculty, size_t advisorIndex)
|
||||
: keys_(3), areaName_(3), advisor_(nrFaculty, 1.0) {
|
||||
advisor_[advisorIndex] = 0.0;
|
||||
}
|
||||
void print() const {
|
||||
using std::cout;
|
||||
cout << name_ << ": ";
|
||||
for (size_t area = 0; area < 3; area++)
|
||||
cout << areaName_[area] << " ";
|
||||
for (size_t area = 0; area < 3; area++) cout << areaName_[area] << " ";
|
||||
cout << std::endl;
|
||||
}
|
||||
};
|
||||
|
@ -63,7 +60,6 @@ namespace gtsam {
|
|||
std::vector<double> slotsAvailable_;
|
||||
|
||||
public:
|
||||
|
||||
/**
|
||||
* Constructor
|
||||
* We need to know the number of students in advance for ordering keys.
|
||||
|
@ -79,26 +75,16 @@ namespace gtsam {
|
|||
facultyName_.push_back(facultyName);
|
||||
}
|
||||
|
||||
size_t nrFaculty() const {
|
||||
return facultyName_.size();
|
||||
}
|
||||
size_t nrFaculty() const { return facultyName_.size(); }
|
||||
|
||||
/** boolean std::string of nrTimeSlots * nrFaculty */
|
||||
void setAvailability(const std::string& available) {
|
||||
available_ = available;
|
||||
}
|
||||
void setAvailability(const std::string& available) { available_ = available; }
|
||||
|
||||
void addSlot(const std::string& slotName) {
|
||||
slotName_.push_back(slotName);
|
||||
}
|
||||
void addSlot(const std::string& slotName) { slotName_.push_back(slotName); }
|
||||
|
||||
size_t nrTimeSlots() const {
|
||||
return slotName_.size();
|
||||
}
|
||||
size_t nrTimeSlots() const { return slotName_.size(); }
|
||||
|
||||
const std::string& slotName(size_t s) const {
|
||||
return slotName_[s];
|
||||
}
|
||||
const std::string& slotName(size_t s) const { return slotName_[s]; }
|
||||
|
||||
/** slots available, boolean */
|
||||
void setSlotsAvailable(const std::vector<double>& slotsAvailable) {
|
||||
|
@ -107,7 +93,8 @@ namespace gtsam {
|
|||
|
||||
void addArea(const std::string& facultyName, const std::string& areaName) {
|
||||
areaName_.push_back(areaName);
|
||||
std::vector<double>& table = facultyInArea_[areaName]; // will create if needed
|
||||
std::vector<double>& table =
|
||||
facultyInArea_[areaName]; // will create if needed
|
||||
if (table.empty()) table.resize(nrFaculty(), 0);
|
||||
table[facultyIndex_[facultyName]] = 1;
|
||||
}
|
||||
|
@ -119,7 +106,8 @@ namespace gtsam {
|
|||
Scheduler(size_t maxNrStudents, const std::string& filename);
|
||||
|
||||
/** get key for student and area, 0 is time slot itself */
|
||||
const DiscreteKey& key(size_t s, boost::optional<size_t> area = boost::none) const;
|
||||
const DiscreteKey& key(size_t s,
|
||||
boost::optional<size_t> area = boost::none) const;
|
||||
|
||||
/** addStudent has to be called after adding slots and faculty */
|
||||
void addStudent(const std::string& studentName, const std::string& area1,
|
||||
|
@ -127,16 +115,15 @@ namespace gtsam {
|
|||
const std::string& advisor);
|
||||
|
||||
/// current number of students
|
||||
size_t nrStudents() const {
|
||||
return students_.size();
|
||||
}
|
||||
size_t nrStudents() const { return students_.size(); }
|
||||
|
||||
const std::string& studentName(size_t i) const;
|
||||
const DiscreteKey& studentKey(size_t i) const;
|
||||
const std::string& studentArea(size_t i, size_t area) const;
|
||||
|
||||
/** Add student-specific constraints to the graph */
|
||||
void addStudentSpecificConstraints(size_t i, boost::optional<size_t> slot = boost::none);
|
||||
void addStudentSpecificConstraints(
|
||||
size_t i, boost::optional<size_t> slot = boost::none);
|
||||
|
||||
/** Main routine that builds factor graph */
|
||||
void buildGraph(size_t mutexBound = 7);
|
||||
|
@ -170,6 +157,4 @@ namespace gtsam {
|
|||
|
||||
}; // Scheduler
|
||||
|
||||
} // gtsam
|
||||
|
||||
|
||||
} // namespace gtsam
|
||||
|
|
|
@ -5,10 +5,11 @@
|
|||
* @author Frank Dellaert
|
||||
*/
|
||||
|
||||
#include <gtsam_unstable/discrete/SingleValue.h>
|
||||
#include <gtsam_unstable/discrete/Domain.h>
|
||||
#include <gtsam/discrete/DecisionTreeFactor.h>
|
||||
#include <gtsam/base/Testable.h>
|
||||
#include <gtsam/discrete/DecisionTreeFactor.h>
|
||||
#include <gtsam_unstable/discrete/Domain.h>
|
||||
#include <gtsam_unstable/discrete/SingleValue.h>
|
||||
|
||||
#include <boost/make_shared.hpp>
|
||||
|
||||
namespace gtsam {
|
||||
|
@ -16,10 +17,9 @@ namespace gtsam {
|
|||
using namespace std;
|
||||
|
||||
/* ************************************************************************* */
|
||||
void SingleValue::print(const string& s,
|
||||
const KeyFormatter& formatter) const {
|
||||
cout << s << "SingleValue on " << "j=" << formatter(keys_[0])
|
||||
<< " with value " << value_ << endl;
|
||||
void SingleValue::print(const string& s, const KeyFormatter& formatter) const {
|
||||
cout << s << "SingleValue on "
|
||||
<< "j=" << formatter(keys_[0]) << " with value " << value_ << endl;
|
||||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
|
@ -32,8 +32,7 @@ namespace gtsam {
|
|||
DiscreteKeys keys;
|
||||
keys += DiscreteKey(keys_[0], cardinality_);
|
||||
vector<double> table;
|
||||
for (size_t i1 = 0; i1 < cardinality_; i1++)
|
||||
table.push_back(i1 == value_);
|
||||
for (size_t i1 = 0; i1 < cardinality_; i1++) table.push_back(i1 == value_);
|
||||
DecisionTreeFactor converted(keys, table);
|
||||
return converted;
|
||||
}
|
||||
|
@ -47,8 +46,8 @@ namespace gtsam {
|
|||
/* ************************************************************************* */
|
||||
bool SingleValue::ensureArcConsistency(size_t j,
|
||||
vector<Domain>& domains) const {
|
||||
if (j != keys_[0]) throw invalid_argument(
|
||||
"SingleValue check on wrong domain");
|
||||
if (j != keys_[0])
|
||||
throw invalid_argument("SingleValue check on wrong domain");
|
||||
Domain& D = domains[j];
|
||||
if (D.isSingleton()) {
|
||||
if (D.firstValue() != value_) throw runtime_error("Unsatisfiable");
|
||||
|
@ -61,8 +60,8 @@ namespace gtsam {
|
|||
/* ************************************************************************* */
|
||||
Constraint::shared_ptr SingleValue::partiallyApply(const Values& values) const {
|
||||
Values::const_iterator it = values.find(keys_[0]);
|
||||
if (it != values.end() && it->second != value_) throw runtime_error(
|
||||
"SingleValue::partiallyApply: unsatisfiable");
|
||||
if (it != values.end() && it->second != value_)
|
||||
throw runtime_error("SingleValue::partiallyApply: unsatisfiable");
|
||||
return boost::make_shared<SingleValue>(keys_[0], cardinality_, value_);
|
||||
}
|
||||
|
||||
|
@ -70,8 +69,8 @@ namespace gtsam {
|
|||
Constraint::shared_ptr SingleValue::partiallyApply(
|
||||
const vector<Domain>& domains) const {
|
||||
const Domain& Dk = domains[keys_[0]];
|
||||
if (Dk.isSingleton() && !Dk.contains(value_)) throw runtime_error(
|
||||
"SingleValue::partiallyApply: unsatisfiable");
|
||||
if (Dk.isSingleton() && !Dk.contains(value_))
|
||||
throw runtime_error("SingleValue::partiallyApply: unsatisfiable");
|
||||
return boost::make_shared<SingleValue>(discreteKey(), value_);
|
||||
}
|
||||
|
||||
|
|
|
@ -7,8 +7,8 @@
|
|||
|
||||
#pragma once
|
||||
|
||||
#include <gtsam_unstable/discrete/Constraint.h>
|
||||
#include <gtsam/discrete/DiscreteKey.h>
|
||||
#include <gtsam_unstable/discrete/Constraint.h>
|
||||
|
||||
namespace gtsam {
|
||||
|
||||
|
@ -16,7 +16,6 @@ namespace gtsam {
|
|||
* SingleValue constraint
|
||||
*/
|
||||
class GTSAM_UNSTABLE_EXPORT SingleValue : public Constraint {
|
||||
|
||||
/// Number of values
|
||||
size_t cardinality_;
|
||||
|
||||
|
@ -28,22 +27,19 @@ namespace gtsam {
|
|||
}
|
||||
|
||||
public:
|
||||
|
||||
typedef boost::shared_ptr<SingleValue> shared_ptr;
|
||||
|
||||
/// Constructor
|
||||
SingleValue(Key key, size_t n, size_t value) :
|
||||
Constraint(key), cardinality_(n), value_(value) {
|
||||
}
|
||||
SingleValue(Key key, size_t n, size_t value)
|
||||
: Constraint(key), cardinality_(n), value_(value) {}
|
||||
|
||||
/// Constructor
|
||||
SingleValue(const DiscreteKey& dkey, size_t value) :
|
||||
Constraint(dkey.first), cardinality_(dkey.second), value_(value) {
|
||||
}
|
||||
SingleValue(const DiscreteKey& dkey, size_t value)
|
||||
: Constraint(dkey.first), cardinality_(dkey.second), value_(value) {}
|
||||
|
||||
// print
|
||||
void print(const std::string& s = "",
|
||||
const KeyFormatter& formatter = DefaultKeyFormatter) const override;
|
||||
void print(const std::string& s = "", const KeyFormatter& formatter =
|
||||
DefaultKeyFormatter) const override;
|
||||
|
||||
/// equals
|
||||
bool equals(const DiscreteFactor& other, double tol) const override {
|
||||
|
@ -69,7 +65,8 @@ namespace gtsam {
|
|||
* @param j domain to be checked
|
||||
* @param domains all other domains
|
||||
*/
|
||||
bool ensureArcConsistency(size_t j, std::vector<Domain>& domains) const override;
|
||||
bool ensureArcConsistency(size_t j,
|
||||
std::vector<Domain>& domains) const override;
|
||||
|
||||
/// Partially apply known values
|
||||
Constraint::shared_ptr partiallyApply(const Values& values) const override;
|
||||
|
|
|
@ -7,21 +7,23 @@
|
|||
|
||||
#include <gtsam_unstable/discrete/CSP.h>
|
||||
#include <gtsam_unstable/discrete/Domain.h>
|
||||
|
||||
#include <boost/assign/std/map.hpp>
|
||||
using boost::assign::insert;
|
||||
#include <CppUnitLite/TestHarness.h>
|
||||
#include <iostream>
|
||||
|
||||
#include <fstream>
|
||||
#include <iostream>
|
||||
|
||||
using namespace std;
|
||||
using namespace gtsam;
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST_UNSAFE( BinaryAllDif, allInOne)
|
||||
{
|
||||
TEST_UNSAFE(BinaryAllDif, allInOne) {
|
||||
// Create keys and ordering
|
||||
size_t nrColors = 2;
|
||||
// DiscreteKey ID("Idaho", nrColors), UT("Utah", nrColors), AZ("Arizona", nrColors);
|
||||
// DiscreteKey ID("Idaho", nrColors), UT("Utah", nrColors), AZ("Arizona",
|
||||
// nrColors);
|
||||
DiscreteKey ID(0, nrColors), UT(2, nrColors), AZ(1, nrColors);
|
||||
|
||||
// Check construction and conversion
|
||||
|
@ -40,8 +42,7 @@ TEST_UNSAFE( BinaryAllDif, allInOne)
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST_UNSAFE( CSP, allInOne)
|
||||
{
|
||||
TEST_UNSAFE(CSP, allInOne) {
|
||||
// Create keys and ordering
|
||||
size_t nrColors = 2;
|
||||
DiscreteKey ID(0, nrColors), UT(2, nrColors), AZ(1, nrColors);
|
||||
|
@ -80,15 +81,15 @@ TEST_UNSAFE( CSP, allInOne)
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST_UNSAFE( CSP, WesternUS)
|
||||
{
|
||||
TEST_UNSAFE(CSP, WesternUS) {
|
||||
// Create keys
|
||||
size_t nrColors = 4;
|
||||
DiscreteKey
|
||||
// Create ordering according to example in ND-CSP.lyx
|
||||
WA(0, nrColors), OR(3, nrColors), CA(1, nrColors),NV(2, nrColors),
|
||||
ID(8, nrColors), UT(9, nrColors), AZ(10, nrColors),
|
||||
MT(4, nrColors), WY(5, nrColors), CO(7, nrColors), NM(6, nrColors);
|
||||
WA(0, nrColors),
|
||||
OR(3, nrColors), CA(1, nrColors), NV(2, nrColors), ID(8, nrColors),
|
||||
UT(9, nrColors), AZ(10, nrColors), MT(4, nrColors), WY(5, nrColors),
|
||||
CO(7, nrColors), NM(6, nrColors);
|
||||
|
||||
// Create the CSP
|
||||
CSP csp;
|
||||
|
@ -117,14 +118,14 @@ TEST_UNSAFE( CSP, WesternUS)
|
|||
|
||||
// Solve
|
||||
Ordering ordering;
|
||||
ordering += Key(0),Key(1),Key(2),Key(3),Key(4),Key(5),Key(6),Key(7),Key(8),Key(9),Key(10);
|
||||
ordering += Key(0), Key(1), Key(2), Key(3), Key(4), Key(5), Key(6), Key(7),
|
||||
Key(8), Key(9), Key(10);
|
||||
CSP::sharedValues mpe = csp.optimalAssignment(ordering);
|
||||
// GTSAM_PRINT(*mpe);
|
||||
CSP::Values expected;
|
||||
insert(expected)
|
||||
(WA.first,1)(CA.first,1)(NV.first,3)(OR.first,0)
|
||||
(MT.first,1)(WY.first,0)(NM.first,3)(CO.first,2)
|
||||
(ID.first,2)(UT.first,1)(AZ.first,0);
|
||||
insert(expected)(WA.first, 1)(CA.first, 1)(NV.first, 3)(OR.first, 0)(
|
||||
MT.first, 1)(WY.first, 0)(NM.first, 3)(CO.first, 2)(ID.first, 2)(
|
||||
UT.first, 1)(AZ.first, 0);
|
||||
|
||||
// TODO: Fix me! mpe result seems to be right. (See the printing)
|
||||
// It has the same prob as the expected solution.
|
||||
|
@ -142,8 +143,7 @@ TEST_UNSAFE( CSP, WesternUS)
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST_UNSAFE( CSP, AllDiff)
|
||||
{
|
||||
TEST_UNSAFE(CSP, AllDiff) {
|
||||
// Create keys and ordering
|
||||
size_t nrColors = 3;
|
||||
DiscreteKey ID(0, nrColors), UT(2, nrColors), AZ(1, nrColors);
|
||||
|
@ -166,7 +166,8 @@ TEST_UNSAFE( CSP, AllDiff)
|
|||
DecisionTreeFactor actual = alldiff.toDecisionTreeFactor();
|
||||
// GTSAM_PRINT(actual);
|
||||
// actual.dot("actual");
|
||||
DecisionTreeFactor f2(ID & AZ & UT,
|
||||
DecisionTreeFactor f2(
|
||||
ID & AZ & UT,
|
||||
"0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0");
|
||||
EXPECT(assert_equal(f2, actual));
|
||||
|
||||
|
@ -229,4 +230,3 @@ int main() {
|
|||
return TestRegistry::runAllTests(tr);
|
||||
}
|
||||
/* ************************************************************************* */
|
||||
|
||||
|
|
|
@ -5,14 +5,15 @@
|
|||
* @date Oct 11, 2013
|
||||
*/
|
||||
|
||||
#include <gtsam/inference/VariableIndex.h>
|
||||
#include <CppUnitLite/TestHarness.h>
|
||||
#include <gtsam/discrete/DecisionTreeFactor.h>
|
||||
#include <gtsam/discrete/DiscreteFactorGraph.h>
|
||||
#include <CppUnitLite/TestHarness.h>
|
||||
#include <boost/range/adaptor/map.hpp>
|
||||
#include <gtsam/inference/VariableIndex.h>
|
||||
|
||||
#include <boost/assign/list_of.hpp>
|
||||
#include <iostream>
|
||||
#include <boost/range/adaptor/map.hpp>
|
||||
#include <fstream>
|
||||
#include <iostream>
|
||||
|
||||
using namespace std;
|
||||
using namespace boost;
|
||||
|
@ -23,11 +24,12 @@ using namespace gtsam;
|
|||
* Loopy belief solver for graphs with only binary and unary factors
|
||||
*/
|
||||
class LoopyBelief {
|
||||
|
||||
/** Star graph struct for each node, containing
|
||||
* - the star graph itself
|
||||
* - the product of original unary factors so we don't have to recompute it later, and
|
||||
* - the factor indices of the corrected belief factors of the neighboring nodes
|
||||
* - the product of original unary factors so we don't have to recompute it
|
||||
* later, and
|
||||
* - the factor indices of the corrected belief factors of the neighboring
|
||||
* nodes
|
||||
*/
|
||||
typedef std::map<Key, size_t> CorrectedBeliefIndices;
|
||||
struct StarGraph {
|
||||
|
@ -37,10 +39,11 @@ class LoopyBelief {
|
|||
VariableIndex varIndex_;
|
||||
StarGraph(const DiscreteFactorGraph::shared_ptr& _star,
|
||||
const CorrectedBeliefIndices& _beliefIndices,
|
||||
const DecisionTreeFactor::shared_ptr& _unary) :
|
||||
star(_star), correctedBeliefIndices(_beliefIndices), unary(_unary), varIndex_(
|
||||
*_star) {
|
||||
}
|
||||
const DecisionTreeFactor::shared_ptr& _unary)
|
||||
: star(_star),
|
||||
correctedBeliefIndices(_beliefIndices),
|
||||
unary(_unary),
|
||||
varIndex_(*_star) {}
|
||||
|
||||
void print(const std::string& s = "") const {
|
||||
cout << s << ":" << endl;
|
||||
|
@ -49,8 +52,7 @@ class LoopyBelief {
|
|||
cout << "Belief factor index for " << key << ": "
|
||||
<< correctedBeliefIndices.at(key) << endl;
|
||||
}
|
||||
if (unary)
|
||||
unary->print("Unary: ");
|
||||
if (unary) unary->print("Unary: ");
|
||||
}
|
||||
};
|
||||
|
||||
|
@ -59,13 +61,13 @@ class LoopyBelief {
|
|||
|
||||
public:
|
||||
/** Constructor
|
||||
* Need all discrete keys to access node's cardinality for creating belief factors
|
||||
* Need all discrete keys to access node's cardinality for creating belief
|
||||
* factors
|
||||
* TODO: so troublesome!!
|
||||
*/
|
||||
LoopyBelief(const DiscreteFactorGraph& graph,
|
||||
const std::map<Key, DiscreteKey>& allDiscreteKeys) :
|
||||
starGraphs_(buildStarGraphs(graph, allDiscreteKeys)) {
|
||||
}
|
||||
const std::map<Key, DiscreteKey>& allDiscreteKeys)
|
||||
: starGraphs_(buildStarGraphs(graph, allDiscreteKeys)) {}
|
||||
|
||||
/// print
|
||||
void print(const std::string& s = "") const {
|
||||
|
@ -79,7 +81,8 @@ public:
|
|||
DiscreteFactorGraph::shared_ptr iterate(
|
||||
const std::map<Key, DiscreteKey>& allDiscreteKeys) {
|
||||
static const bool debug = false;
|
||||
static DiscreteConditional::shared_ptr dummyCond; // unused by-product of elimination
|
||||
static DiscreteConditional::shared_ptr
|
||||
dummyCond; // unused by-product of elimination
|
||||
DiscreteFactorGraph::shared_ptr beliefs(new DiscreteFactorGraph());
|
||||
std::map<Key, std::map<Key, DiscreteFactor::shared_ptr> > allMessages;
|
||||
// Eliminate each star graph
|
||||
|
@ -92,15 +95,16 @@ public:
|
|||
std::map<Key, DiscreteFactor::shared_ptr> messages;
|
||||
|
||||
// eliminate each neighbor in this star graph one by one
|
||||
for(Key neighbor: starGraphs_.at(key).correctedBeliefIndices | boost::adaptors::map_keys) {
|
||||
for (Key neighbor : starGraphs_.at(key).correctedBeliefIndices |
|
||||
boost::adaptors::map_keys) {
|
||||
DiscreteFactorGraph subGraph;
|
||||
for (size_t factor : starGraphs_.at(key).varIndex_[neighbor]) {
|
||||
subGraph.push_back(starGraphs_.at(key).star->at(factor));
|
||||
}
|
||||
if (debug) subGraph.print("------- Subgraph:");
|
||||
DiscreteFactor::shared_ptr message;
|
||||
boost::tie(dummyCond, message) = EliminateDiscrete(subGraph,
|
||||
Ordering(list_of(neighbor)));
|
||||
boost::tie(dummyCond, message) =
|
||||
EliminateDiscrete(subGraph, Ordering(list_of(neighbor)));
|
||||
// store the new factor into messages
|
||||
messages.insert(make_pair(neighbor, message));
|
||||
if (debug) message->print("------- Message: ");
|
||||
|
@ -108,14 +112,12 @@ public:
|
|||
// Belief is the product of all messages and the unary factor
|
||||
// Incorporate new the factor to belief
|
||||
if (!beliefAtKey)
|
||||
beliefAtKey = boost::dynamic_pointer_cast<DecisionTreeFactor>(
|
||||
message);
|
||||
else
|
||||
beliefAtKey =
|
||||
boost::make_shared<DecisionTreeFactor>(
|
||||
(*beliefAtKey)
|
||||
* (*boost::dynamic_pointer_cast<DecisionTreeFactor>(
|
||||
message)));
|
||||
boost::dynamic_pointer_cast<DecisionTreeFactor>(message);
|
||||
else
|
||||
beliefAtKey = boost::make_shared<DecisionTreeFactor>(
|
||||
(*beliefAtKey) *
|
||||
(*boost::dynamic_pointer_cast<DecisionTreeFactor>(message)));
|
||||
}
|
||||
if (starGraphs_.at(key).unary)
|
||||
beliefAtKey = boost::make_shared<DecisionTreeFactor>(
|
||||
|
@ -133,7 +135,8 @@ public:
|
|||
sumFactorTable = (boost::format("%s %f") % sumFactorTable % sum).str();
|
||||
DecisionTreeFactor sumFactor(allDiscreteKeys.at(key), sumFactorTable);
|
||||
if (debug) sumFactor.print("denomFactor: ");
|
||||
beliefAtKey = boost::make_shared<DecisionTreeFactor>((*beliefAtKey) / sumFactor);
|
||||
beliefAtKey =
|
||||
boost::make_shared<DecisionTreeFactor>((*beliefAtKey) / sumFactor);
|
||||
if (debug) beliefAtKey->print("New belief at key normalized: ");
|
||||
beliefs->push_back(beliefAtKey);
|
||||
allMessages[key] = messages;
|
||||
|
@ -143,15 +146,18 @@ public:
|
|||
VariableIndex beliefFactors(*beliefs);
|
||||
for (Key key : starGraphs_ | boost::adaptors::map_keys) {
|
||||
std::map<Key, DiscreteFactor::shared_ptr> messages = allMessages[key];
|
||||
for(Key neighbor: starGraphs_.at(key).correctedBeliefIndices | boost::adaptors::map_keys) {
|
||||
DecisionTreeFactor correctedBelief = (*boost::dynamic_pointer_cast<
|
||||
DecisionTreeFactor>(beliefs->at(beliefFactors[key].front())))
|
||||
/ (*boost::dynamic_pointer_cast<DecisionTreeFactor>(
|
||||
for (Key neighbor : starGraphs_.at(key).correctedBeliefIndices |
|
||||
boost::adaptors::map_keys) {
|
||||
DecisionTreeFactor correctedBelief =
|
||||
(*boost::dynamic_pointer_cast<DecisionTreeFactor>(
|
||||
beliefs->at(beliefFactors[key].front()))) /
|
||||
(*boost::dynamic_pointer_cast<DecisionTreeFactor>(
|
||||
messages.at(neighbor)));
|
||||
if (debug) correctedBelief.print("correctedBelief: ");
|
||||
size_t beliefIndex = starGraphs_.at(neighbor).correctedBeliefIndices.at(
|
||||
key);
|
||||
starGraphs_.at(neighbor).star->replace(beliefIndex,
|
||||
size_t beliefIndex =
|
||||
starGraphs_.at(neighbor).correctedBeliefIndices.at(key);
|
||||
starGraphs_.at(neighbor).star->replace(
|
||||
beliefIndex,
|
||||
boost::make_shared<DecisionTreeFactor>(correctedBelief));
|
||||
}
|
||||
}
|
||||
|
@ -165,7 +171,8 @@ private:
|
|||
/**
|
||||
* Build star graphs for each node.
|
||||
*/
|
||||
StarGraphs buildStarGraphs(const DiscreteFactorGraph& graph,
|
||||
StarGraphs buildStarGraphs(
|
||||
const DiscreteFactorGraph& graph,
|
||||
const std::map<Key, DiscreteKey>& allDiscreteKeys) const {
|
||||
StarGraphs starGraphs;
|
||||
VariableIndex varIndex(graph); ///< access to all factors of each node
|
||||
|
@ -185,8 +192,8 @@ private:
|
|||
graph.at(factorIndex));
|
||||
else
|
||||
prodOfUnaries = boost::make_shared<DecisionTreeFactor>(
|
||||
*prodOfUnaries
|
||||
* (*boost::dynamic_pointer_cast<DecisionTreeFactor>(
|
||||
*prodOfUnaries *
|
||||
(*boost::dynamic_pointer_cast<DecisionTreeFactor>(
|
||||
graph.at(factorIndex))));
|
||||
}
|
||||
}
|
||||
|
@ -207,9 +214,8 @@ private:
|
|||
DecisionTreeFactor(allDiscreteKeys.at(neighbor), initialBelief));
|
||||
correctedBeliefIndices.insert(make_pair(neighbor, star->size() - 1));
|
||||
}
|
||||
starGraphs.insert(
|
||||
make_pair(key,
|
||||
StarGraph(star, correctedBeliefIndices, prodOfUnaries)));
|
||||
starGraphs.insert(make_pair(
|
||||
key, StarGraph(star, correctedBeliefIndices, prodOfUnaries)));
|
||||
}
|
||||
return starGraphs;
|
||||
}
|
||||
|
@ -249,7 +255,6 @@ TEST_UNSAFE(LoopyBelief, construction) {
|
|||
DiscreteFactorGraph::shared_ptr beliefs = solver.iterate(allKeys);
|
||||
beliefs->print();
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
|
|
|
@ -5,14 +5,13 @@
|
|||
*/
|
||||
|
||||
//#define ENABLE_TIMING
|
||||
#include <gtsam_unstable/discrete/Scheduler.h>
|
||||
#include <CppUnitLite/TestHarness.h>
|
||||
#include <gtsam/base/Testable.h>
|
||||
#include <gtsam/base/timing.h>
|
||||
#include <gtsam_unstable/discrete/Scheduler.h>
|
||||
|
||||
#include <CppUnitLite/TestHarness.h>
|
||||
|
||||
#include <boost/assign/std/vector.hpp>
|
||||
#include <boost/assign/std/map.hpp>
|
||||
#include <boost/assign/std/vector.hpp>
|
||||
#include <boost/optional.hpp>
|
||||
|
||||
using namespace boost::assign;
|
||||
|
@ -22,7 +21,6 @@ using namespace gtsam;
|
|||
/* ************************************************************************* */
|
||||
// Create the expected graph of constraints
|
||||
DiscreteFactorGraph createExpected() {
|
||||
|
||||
// Start building
|
||||
size_t nrFaculty = 4, nrTimeSlots = 3;
|
||||
|
||||
|
@ -79,8 +77,7 @@ DiscreteFactorGraph createExpected() {
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST( schedulingExample, test)
|
||||
{
|
||||
TEST(schedulingExample, test) {
|
||||
Scheduler s(2);
|
||||
|
||||
// add faculty
|
||||
|
@ -146,8 +143,7 @@ TEST( schedulingExample, test)
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST( schedulingExample, smallFromFile)
|
||||
{
|
||||
TEST(schedulingExample, smallFromFile) {
|
||||
string path(TOPSRCDIR "/gtsam_unstable/discrete/examples/");
|
||||
Scheduler s(2, path + "small.csv");
|
||||
|
||||
|
@ -179,4 +175,3 @@ int main() {
|
|||
return TestRegistry::runAllTests(tr);
|
||||
}
|
||||
/* ************************************************************************* */
|
||||
|
||||
|
|
|
@ -5,13 +5,15 @@
|
|||
* @author Frank Dellaert
|
||||
*/
|
||||
|
||||
#include <gtsam_unstable/discrete/CSP.h>
|
||||
#include <CppUnitLite/TestHarness.h>
|
||||
#include <gtsam_unstable/discrete/CSP.h>
|
||||
|
||||
#include <boost/assign/std/map.hpp>
|
||||
using boost::assign::insert;
|
||||
#include <stdarg.h>
|
||||
|
||||
#include <iostream>
|
||||
#include <sstream>
|
||||
#include <stdarg.h>
|
||||
|
||||
using namespace std;
|
||||
using namespace gtsam;
|
||||
|
@ -19,7 +21,6 @@ using namespace gtsam;
|
|||
#define PRINT false
|
||||
|
||||
class Sudoku : public CSP {
|
||||
|
||||
/// sudoku size
|
||||
size_t n_;
|
||||
|
||||
|
@ -28,20 +29,16 @@ class Sudoku: public CSP {
|
|||
std::map<IJ, DiscreteKey> dkeys_;
|
||||
|
||||
public:
|
||||
|
||||
/// return DiscreteKey for cell(i,j)
|
||||
const DiscreteKey& dkey(size_t i, size_t j) const {
|
||||
return dkeys_.at(IJ(i, j));
|
||||
}
|
||||
|
||||
/// return Key for cell(i,j)
|
||||
Key key(size_t i, size_t j) const {
|
||||
return dkey(i, j).first;
|
||||
}
|
||||
Key key(size_t i, size_t j) const { return dkey(i, j).first; }
|
||||
|
||||
/// Constructor
|
||||
Sudoku(size_t n, ...) :
|
||||
n_(n) {
|
||||
Sudoku(size_t n, ...) : n_(n) {
|
||||
// Create variables, ordering, and unary constraints
|
||||
va_list ap;
|
||||
va_start(ap, n);
|
||||
|
@ -63,16 +60,14 @@ public:
|
|||
// add row constraints
|
||||
for (size_t i = 0; i < n; i++) {
|
||||
DiscreteKeys dkeys;
|
||||
for (size_t j = 0; j < n; j++)
|
||||
dkeys += dkey(i, j);
|
||||
for (size_t j = 0; j < n; j++) dkeys += dkey(i, j);
|
||||
addAllDiff(dkeys);
|
||||
}
|
||||
|
||||
// add col constraints
|
||||
for (size_t j = 0; j < n; j++) {
|
||||
DiscreteKeys dkeys;
|
||||
for (size_t i = 0; i < n; i++)
|
||||
dkeys += dkey(i, j);
|
||||
for (size_t i = 0; i < n; i++) dkeys += dkey(i, j);
|
||||
addAllDiff(dkeys);
|
||||
}
|
||||
|
||||
|
@ -84,8 +79,7 @@ public:
|
|||
// Box I,J
|
||||
DiscreteKeys dkeys;
|
||||
for (size_t i = i0; i < i0 + N; i++)
|
||||
for (size_t j = j0; j < j0 + N; j++)
|
||||
dkeys += dkey(i, j);
|
||||
for (size_t j = j0; j < j0 + N; j++) dkeys += dkey(i, j);
|
||||
addAllDiff(dkeys);
|
||||
j0 += N;
|
||||
}
|
||||
|
@ -109,18 +103,13 @@ public:
|
|||
DiscreteFactor::sharedValues MPE = optimalAssignment();
|
||||
printAssignment(MPE);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST_UNSAFE( Sudoku, small)
|
||||
{
|
||||
Sudoku csp(4,
|
||||
1,0, 0,4,
|
||||
0,0, 0,0,
|
||||
TEST_UNSAFE(Sudoku, small) {
|
||||
Sudoku csp(4, 1, 0, 0, 4, 0, 0, 0, 0,
|
||||
|
||||
4,0, 2,0,
|
||||
0,1, 0,0);
|
||||
4, 0, 2, 0, 0, 1, 0, 0);
|
||||
|
||||
// Do BP
|
||||
csp.runArcConsistency(4, 10, PRINT);
|
||||
|
@ -128,30 +117,25 @@ TEST_UNSAFE( Sudoku, small)
|
|||
// optimize and check
|
||||
CSP::sharedValues solution = csp.optimalAssignment();
|
||||
CSP::Values expected;
|
||||
insert(expected)
|
||||
(csp.key(0,0), 0)(csp.key(0,1), 1)(csp.key(0,2), 2)(csp.key(0,3), 3)
|
||||
(csp.key(1,0), 2)(csp.key(1,1), 3)(csp.key(1,2), 0)(csp.key(1,3), 1)
|
||||
(csp.key(2,0), 3)(csp.key(2,1), 2)(csp.key(2,2), 1)(csp.key(2,3), 0)
|
||||
(csp.key(3,0), 1)(csp.key(3,1), 0)(csp.key(3,2), 3)(csp.key(3,3), 2);
|
||||
insert(expected)(csp.key(0, 0), 0)(csp.key(0, 1), 1)(csp.key(0, 2), 2)(
|
||||
csp.key(0, 3), 3)(csp.key(1, 0), 2)(csp.key(1, 1), 3)(csp.key(1, 2), 0)(
|
||||
csp.key(1, 3), 1)(csp.key(2, 0), 3)(csp.key(2, 1), 2)(csp.key(2, 2), 1)(
|
||||
csp.key(2, 3), 0)(csp.key(3, 0), 1)(csp.key(3, 1), 0)(csp.key(3, 2), 3)(
|
||||
csp.key(3, 3), 2);
|
||||
EXPECT(assert_equal(expected, *solution));
|
||||
// csp.printAssignment(solution);
|
||||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST_UNSAFE( Sudoku, easy)
|
||||
{
|
||||
Sudoku sudoku(9,
|
||||
0,0,5, 0,9,0, 0,0,1,
|
||||
0,0,0, 0,0,2, 0,7,3,
|
||||
7,6,0, 0,0,8, 2,0,0,
|
||||
TEST_UNSAFE(Sudoku, easy) {
|
||||
Sudoku sudoku(9, 0, 0, 5, 0, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 7, 3, 7, 6,
|
||||
0, 0, 0, 8, 2, 0, 0,
|
||||
|
||||
0,1,2, 0,0,9, 0,0,4,
|
||||
0,0,0, 2,0,3, 0,0,0,
|
||||
3,0,0, 1,0,0, 9,6,0,
|
||||
0, 1, 2, 0, 0, 9, 0, 0, 4, 0, 0, 0, 2, 0, 3, 0, 0, 0, 3, 0, 0,
|
||||
1, 0, 0, 9, 6, 0,
|
||||
|
||||
0,0,1, 9,0,0, 0,5,8,
|
||||
9,7,0, 5,0,0, 0,0,0,
|
||||
5,0,0, 0,3,0, 7,0,0);
|
||||
0, 0, 1, 9, 0, 0, 0, 5, 8, 9, 7, 0, 5, 0, 0, 0, 0, 0, 5, 0, 0,
|
||||
0, 3, 0, 7, 0, 0);
|
||||
|
||||
// Do BP
|
||||
sudoku.runArcConsistency(4, 10, PRINT);
|
||||
|
@ -160,20 +144,15 @@ TEST_UNSAFE( Sudoku, easy)
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST_UNSAFE( Sudoku, extreme)
|
||||
{
|
||||
Sudoku sudoku(9,
|
||||
0,0,9, 7,4,8, 0,0,0,
|
||||
7,0,0, 0,0,0, 0,0,0,
|
||||
0,2,0, 1,0,9, 0,0,0,
|
||||
TEST_UNSAFE(Sudoku, extreme) {
|
||||
Sudoku sudoku(9, 0, 0, 9, 7, 4, 8, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2,
|
||||
0, 1, 0, 9, 0, 0, 0,
|
||||
|
||||
0,0,7, 0,0,0, 2,4,0,
|
||||
0,6,4, 0,1,0, 5,9,0,
|
||||
0,9,8, 0,0,0, 3,0,0,
|
||||
0, 0, 7, 0, 0, 0, 2, 4, 0, 0, 6, 4, 0, 1, 0, 5, 9, 0, 0, 9, 8,
|
||||
0, 0, 0, 3, 0, 0,
|
||||
|
||||
0,0,0, 8,0,3, 0,2,0,
|
||||
0,0,0, 0,0,0, 0,0,6,
|
||||
0,0,0, 2,7,5, 9,0,0);
|
||||
0, 0, 0, 8, 0, 3, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0,
|
||||
2, 7, 5, 9, 0, 0);
|
||||
|
||||
// Do BP
|
||||
sudoku.runArcConsistency(9, 10, PRINT);
|
||||
|
@ -189,20 +168,15 @@ TEST_UNSAFE( Sudoku, extreme)
|
|||
}
|
||||
|
||||
/* ************************************************************************* */
|
||||
TEST_UNSAFE( Sudoku, AJC_3star_Feb8_2012)
|
||||
{
|
||||
Sudoku sudoku(9,
|
||||
9,5,0, 0,0,6, 0,0,0,
|
||||
0,8,4, 0,7,0, 0,0,0,
|
||||
6,2,0, 5,0,0, 4,0,0,
|
||||
TEST_UNSAFE(Sudoku, AJC_3star_Feb8_2012) {
|
||||
Sudoku sudoku(9, 9, 5, 0, 0, 0, 6, 0, 0, 0, 0, 8, 4, 0, 7, 0, 0, 0, 0, 6, 2,
|
||||
0, 5, 0, 0, 4, 0, 0,
|
||||
|
||||
0,0,0, 2,9,0, 6,0,0,
|
||||
0,9,0, 0,0,0, 0,2,0,
|
||||
0,0,2, 0,6,3, 0,0,0,
|
||||
0, 0, 0, 2, 9, 0, 6, 0, 0, 0, 9, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2,
|
||||
0, 6, 3, 0, 0, 0,
|
||||
|
||||
0,0,9, 0,0,7, 0,6,8,
|
||||
0,0,0, 0,3,0, 2,9,0,
|
||||
0,0,0, 1,0,0, 0,3,7);
|
||||
0, 0, 9, 0, 0, 7, 0, 6, 8, 0, 0, 0, 0, 3, 0, 2, 9, 0, 0, 0, 0,
|
||||
1, 0, 0, 0, 3, 7);
|
||||
|
||||
// Do BP
|
||||
sudoku.runArcConsistency(9, 10, PRINT);
|
||||
|
@ -216,4 +190,3 @@ int main() {
|
|||
return TestRegistry::runAllTests(tr);
|
||||
}
|
||||
/* ************************************************************************* */
|
||||
|
||||
|
|
Loading…
Reference in New Issue