diff --git a/gtsam_unstable/nonlinear/tests/testConcurrentBatchFilter.cpp b/gtsam_unstable/nonlinear/tests/testConcurrentBatchFilter.cpp
index dc00da846..79ca79378 100644
--- a/gtsam_unstable/nonlinear/tests/testConcurrentBatchFilter.cpp
+++ b/gtsam_unstable/nonlinear/tests/testConcurrentBatchFilter.cpp
@@ -811,94 +811,6 @@ TEST_UNSAFE( ConcurrentBatchFilter, synchronize )
   CHECK(assert_equal(expectedSmootherValues, actualSmootherValues, 1e-3));
   CHECK(hessian_equal(expectedFilterSumarization, actualFilterSumarization, optimalTheta, 1e-8));
   CHECK(assert_equal(expectedSeparatorValues, actualSeparatorValues, 1e-4));
-//
-//
-//
-//
-//
-//
-//
-//
-//  // Eliminate the factor graph into a Bayes Tree to create the summarized factors
-//
-//  // Create Ordering
-//  constraints.clear();
-//  constraints[Symbol('X', 15)] = 1;
-//  constraints[Symbol('X', 16)] = 1;
-//  constraints[Symbol('X', 17)] = 1;
-//  constraints[Symbol('X', 18)] = 1;
-//  constraints[Symbol('X', 19)] = 1;
-//  ordering = *fullGraph.orderingCOLAMDConstrained(optimalTheta, constraints);
-//  // Linearize into a Gaussian Factor Graph
-//  linearGraph = *fullGraph.linearize(optimalTheta, ordering);
-//  // Eliminate into a Bayes Net with iSAM2-type cliques
-//  jt = JunctionTree<GaussianFactorGraph, ISAM2Clique>(linearGraph);
-//  root = jt.eliminate(EliminateQR);
-//  bayesTree = BayesTree<GaussianConditional, ISAM2Clique>();
-//  bayesTree.insert(root);
-//
-//
-//  // Extract the cached factors for X4 and X6. These are the new smoother summarized factors
-//  smootherSummarization.resize(0);
-//  smootherSummarization.add(LinearContainerFactor(bayesTree.nodes().at(ordering.at(Symbol('X', 4)))->cachedFactor(), ordering, optimalTheta));
-//  smootherSummarization.add(LinearContainerFactor(bayesTree.nodes().at(ordering.at(Symbol('X', 6)))->cachedFactor(), ordering, optimalTheta));
-//
-//  // Extract the nonlinear factors that should be sent to the smoother
-//  expectedSmootherFactors.resize(0);
-//  BOOST_FOREACH(const NonlinearFactor::shared_ptr& factor, fullGraph) {
-//    if(std::find_first_of(factor->begin(), factor->end(), marginalizeKeys.begin(), marginalizeKeys.end()) != factor->end()) {
-//      expectedSmootherFactors.push_back(factor);
-//    }
-//  }
-//  // And any factors that involve only the old separator (X7, X9)
-//  separatorKeys.clear();
-//  separatorKeys.insert(Symbol('X',  7));
-//  separatorKeys.insert(Symbol('X',  9));
-//  FindFactorsWithOnly(separatorKeys, fullGraph, expectedSmootherFactors);
-//
-//
-//  // Extract smoother Values
-//  expectedSmootherValues.clear();
-//  BOOST_FOREACH(Key key, marginalizeKeys) {
-//    expectedSmootherValues.insert(key, optimalTheta.at(key));
-//  }
-//
-//  // Extract the filter summarized factors
-//  // Cached factors that represent the filter side (i.e. the X15 and X17 clique)
-//  expectedFilterSumarization.resize(0);
-//  expectedFilterSumarization.add(LinearContainerFactor(bayesTree.nodes().at(ordering.at(Symbol('X', 15)))->cachedFactor(), ordering, optimalTheta));
-//  expectedFilterSumarization.add(LinearContainerFactor(bayesTree.nodes().at(ordering.at(Symbol('X', 17)))->cachedFactor(), ordering, optimalTheta));
-//  // And any factors that involve only the new separator (X14, X16)
-//  separatorKeys.clear();
-//  separatorKeys.insert(Symbol('X', 14));
-//  separatorKeys.insert(Symbol('X', 16));
-//  FindFactorsWithOnly(separatorKeys, fullGraph, expectedFilterSumarization);
-//
-//  // Extract the new root keys
-//  expectedSeparatorValues.clear();
-//  BOOST_FOREACH(Key key, separatorKeys) {
-//    expectedSeparatorValues.insert(key, optimalTheta.at(key));
-//  }
-//
-//
-//
-//  // Start the synchronization process
-//  actualSmootherFactors.resize(0); actualFilterSumarization.resize(0);
-//  actualSmootherValues.clear(); actualSeparatorValues.clear();
-//  smootherSeparatorValues = expectedSeparatorValues;
-//  filter.presync();
-//  filter.synchronize(smootherSummarization, smootherSeparatorValues);
-//  filter.getSmootherFactors(actualSmootherFactors, actualSmootherValues);
-//  filter.getSummarizedFactors(actualFilterSumarization, actualSeparatorValues);
-//  filter.postsync();
-//
-//
-//
-//  // Compare filter sync variables versus the expected
-//  CHECK(hessian_equal(expectedSmootherFactors, actualSmootherFactors, optimalTheta, 1e-8));
-//  CHECK(assert_equal(expectedSmootherValues, actualSmootherValues, 1e-3));
-//  CHECK(hessian_equal(expectedFilterSumarization, actualFilterSumarization, optimalTheta, 1e-8));
-//  CHECK(assert_equal(expectedSeparatorValues, actualSeparatorValues, 1e-4));
 }
 
 /* ************************************************************************* */