112 lines
		
	
	
		
			4.1 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			112 lines
		
	
	
		
			4.1 KiB
		
	
	
	
		
			C++
		
	
	
/*
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 * AllDiff.cpp
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 * @brief General "all-different" constraint
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 * @date Feb 6, 2012
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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 <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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    BOOST_FOREACH(const DiscreteKey& dkey, dkeys)
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        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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    std::cout << s << "AllDiff on ";
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    BOOST_FOREACH (Key dkey, keys_)
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      std::cout << formatter(dkey) << " ";
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    std::cout << std::endl;
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  }
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  /* ************************************************************************* */
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  double AllDiff::operator()(const Values& values) const {
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    std::set < size_t > taken; // record values taken by keys
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    BOOST_FOREACH(Key dkey, keys_) {
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      size_t value = values.at(dkey); // get the value for that key
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      if (taken.count(value)) return 0.0;// check if value alreday taken
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      taken.insert(value);// if not, record it as taken and keep checking
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    }
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    return 1.0;
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  }
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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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    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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      for (size_t i2 = i1 + 1; i2 < nrKeys; i2++) {
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        BinaryAllDiff binary12(discreteKey(i1),discreteKey(i2));
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        converted = converted * binary12.toDecisionTreeFactor();
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      }
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    return converted;
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  }
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  /* ************************************************************************* */
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  DecisionTreeFactor AllDiff::operator*(const DecisionTreeFactor& f) const {
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    // TODO: can we do this more efficiently?
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    return toDecisionTreeFactor() * f;
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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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    // 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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    // TODO: make a new constraint where this really is true
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    Domain& Dj = domains[j];
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    if (Dj.checkAllDiff(keys_, domains)) return true;
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    // Check all other domains for singletons and erase corresponding values
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    // This is the same as arc-consistency on the equivalent binary constraints
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    bool changed = false;
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    BOOST_FOREACH(Key k, keys_)
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      if (k != j) {
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        const Domain& Dk = domains[k];
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        if (Dk.isSingleton()) { // check if singleton
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          size_t value = Dk.firstValue();
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          if (Dj.contains(value)) {
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            Dj.erase(value); // erase value if true
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            changed = true;
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          }
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        }
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      }
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    return changed;
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  }
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  /* ************************************************************************* */
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  Constraint::shared_ptr AllDiff::partiallyApply(const Values& values) const {
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    DiscreteKeys newKeys;
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    // loop over keys and add them only if they do not appear in values
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    BOOST_FOREACH(Key k, keys_)
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      if (values.find(k) == values.end()) {
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        newKeys.push_back(DiscreteKey(k,cardinalities_.at(k)));
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      }
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    return boost::make_shared<AllDiff>(newKeys);
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  }
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  /* ************************************************************************* */
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  Constraint::shared_ptr AllDiff::partiallyApply(
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      const std::vector<Domain>& domains) const {
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    DiscreteFactor::Values known;
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    BOOST_FOREACH(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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      }
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    return partiallyApply(known);
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  }
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  /* ************************************************************************* */
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} // namespace gtsam
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