110 lines
2.7 KiB
C++
110 lines
2.7 KiB
C++
/* ----------------------------------------------------------------------------
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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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* @file testSymbolicBayesNet.cpp
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* @brief Unit tests for a symbolic Bayes chain
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* @author Frank Dellaert
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*/
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#include <boost/assign/list_inserter.hpp> // for 'insert()'
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#include <boost/assign/std/list.hpp> // for operator +=
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using namespace boost::assign;
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#include <gtsam/CppUnitLite/TestHarness.h>
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//#define GTSAM_MAGIC_KEY
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#include <gtsam/inference/SymbolicFactorGraph.h>
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using namespace std;
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using namespace gtsam;
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static const Index _L_ = 0;
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static const Index _A_ = 1;
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static const Index _B_ = 2;
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static const Index _C_ = 3;
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IndexConditional::shared_ptr
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B(new IndexConditional(_B_)),
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L(new IndexConditional(_L_, _B_));
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/* ************************************************************************* */
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TEST( SymbolicBayesNet, equals )
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{
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BayesNet<IndexConditional> f1;
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f1.push_back(B);
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f1.push_back(L);
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BayesNet<IndexConditional> f2;
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f2.push_back(L);
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f2.push_back(B);
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CHECK(f1.equals(f1));
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CHECK(!f1.equals(f2));
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}
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/* ************************************************************************* */
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TEST( SymbolicBayesNet, pop_front )
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{
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IndexConditional::shared_ptr
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A(new IndexConditional(_A_,_B_,_C_)),
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B(new IndexConditional(_B_,_C_)),
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C(new IndexConditional(_C_));
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// Expected after pop_front
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BayesNet<IndexConditional> expected;
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expected.push_back(B);
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expected.push_back(C);
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// Actual
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BayesNet<IndexConditional> actual;
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actual.push_back(A);
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actual.push_back(B);
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actual.push_back(C);
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actual.pop_front();
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CHECK(assert_equal(expected,actual));
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}
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/* ************************************************************************* */
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TEST( SymbolicBayesNet, combine )
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{
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IndexConditional::shared_ptr
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A(new IndexConditional(_A_,_B_,_C_)),
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B(new IndexConditional(_B_,_C_)),
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C(new IndexConditional(_C_));
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// p(A|BC)
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BayesNet<IndexConditional> p_ABC;
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p_ABC.push_back(A);
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// P(BC)=P(B|C)P(C)
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BayesNet<IndexConditional> p_BC;
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p_BC.push_back(B);
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p_BC.push_back(C);
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// P(ABC) = P(A|BC) P(BC)
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p_ABC.push_back(p_BC);
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BayesNet<IndexConditional> expected;
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expected.push_back(A);
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expected.push_back(B);
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expected.push_back(C);
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CHECK(assert_equal(expected,p_ABC));
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}
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/* ************************************************************************* */
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int main() {
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TestResult tr;
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return TestRegistry::runAllTests(tr);
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}
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/* ************************************************************************* */
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