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								/* ----------------------------------------------------------------------------
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								 * GTSAM Copyright 2010, Georgia Tech Research Corporation, 
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								 * Atlanta, Georgia 30332-0415
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								 * All Rights Reserved
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								 * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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								 * See LICENSE for the license information
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								 * -------------------------------------------------------------------------- */
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								/*
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								 * SymbolicFactorGraph.h
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								 *
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								 *  Created on: Oct 29, 2009
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								 *      Author: Frank Dellaert
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								 */
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								#pragma once
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								#include <string>
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								#include <list>
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								#include <gtsam/base/types.h>
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								#include <gtsam/inference/FactorGraph.h>
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								#include <gtsam/inference/Factor-inl.h>
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								#include <gtsam/inference/BayesNet.h>
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								#include <gtsam/inference/Conditional.h>
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								namespace gtsam {
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								typedef BayesNet<Conditional> SymbolicBayesNet;
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								/** Symbolic Factor Graph */
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								class SymbolicFactorGraph: public FactorGraph<Factor> {
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								public:
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								  typedef SymbolicBayesNet bayesnet_type;
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								  typedef VariableIndex<> variableindex_type;
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								  /** Construct empty factor graph */
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								  SymbolicFactorGraph() {}
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								  /** Construct from a BayesNet */
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								  SymbolicFactorGraph(const BayesNet<Conditional>& bayesNet);
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								  /** Push back unary factor */
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								  void push_factor(Index key);
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								  /** Push back binary factor */
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								  void push_factor(Index key1, Index key2);
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								  /** Push back ternary factor */
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								  void push_factor(Index key1, Index key2, Index key3);
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								  /** Push back 4-way factor */
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								  void push_factor(Index key1, Index key2, Index key3, Index key4);
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								  /**
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								   * Construct from a factor graph of any type
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								   */
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								  template<class Factor>
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								  SymbolicFactorGraph(const FactorGraph<Factor>& fg);
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								  /**
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								   * Return the set of variables involved in the factors (computes a set
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								   * union).
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								   */
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								  std::set<Index, std::less<Index>, boost::fast_pool_allocator<Index> > keys() const;
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								  /**
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								   * Same as eliminate in the SymbolicFactorGraph case
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								   */
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								  //		SymbolicBayesNet eliminateFrontals(const Ordering& ordering);
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								};
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								/* Template function implementation */
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								template<class FactorType>
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								SymbolicFactorGraph::SymbolicFactorGraph(const FactorGraph<FactorType>& fg) {
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								  for (size_t i = 0; i < fg.size(); i++) {
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								    if(fg[i]) {
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								      Factor::shared_ptr factor(new Factor(*fg[i]));
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								      push_back(factor);
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								    } else
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								      push_back(Factor::shared_ptr());
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								  }
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								}
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								} // namespace gtsam
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