fix to remove leftover boost
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				|  | @ -348,7 +348,8 @@ TEST(HybridGaussianFactorGraph, Switching) { | |||
|   // GTSAM_PRINT(*hfg);
 | ||||
|   // GTSAM_PRINT(ordering_full);
 | ||||
| 
 | ||||
|   const auto [hbt, remaining] = hfg->eliminatePartialMultifrontal(ordering_full); | ||||
|   const auto [hbt, remaining] = | ||||
|       hfg->eliminatePartialMultifrontal(ordering_full); | ||||
| 
 | ||||
|   // 12 cliques in the bayes tree and 0 remaining variables to eliminate.
 | ||||
|   EXPECT_LONGS_EQUAL(12, hbt->size()); | ||||
|  | @ -401,7 +402,8 @@ TEST(HybridGaussianFactorGraph, SwitchingISAM) { | |||
|   } | ||||
|   auto ordering_full = Ordering(ordering); | ||||
| 
 | ||||
|   const auto [hbt, remaining] = hfg->eliminatePartialMultifrontal(ordering_full); | ||||
|   const auto [hbt, remaining] = | ||||
|       hfg->eliminatePartialMultifrontal(ordering_full); | ||||
| 
 | ||||
|   auto new_fg = makeSwitchingChain(12); | ||||
|   auto isam = HybridGaussianISAM(*hbt); | ||||
|  | @ -470,7 +472,8 @@ TEST(HybridGaussianFactorGraph, SwitchingTwoVar) { | |||
|     ordering_partial.emplace_back(X(i)); | ||||
|     ordering_partial.emplace_back(Y(i)); | ||||
|   } | ||||
|   const auto [hbn, remaining] = hfg->eliminatePartialSequential(ordering_partial); | ||||
|   const auto [hbn, remaining] = | ||||
|       hfg->eliminatePartialSequential(ordering_partial); | ||||
| 
 | ||||
|   EXPECT_LONGS_EQUAL(14, hbn->size()); | ||||
|   EXPECT_LONGS_EQUAL(11, remaining->size()); | ||||
|  | @ -747,9 +750,9 @@ TEST(HybridGaussianFactorGraph, EliminateTiny1Swapped) { | |||
| 
 | ||||
|   // Create Gaussian mixture on X(0).
 | ||||
|   // regression, but mean checked to be 5.0 in both cases:
 | ||||
|   const auto conditional0 = boost::make_shared<GaussianConditional>( | ||||
|   const auto conditional0 = std::make_shared<GaussianConditional>( | ||||
|                  X(0), Vector1(10.1379), I_1x1 * 2.02759), | ||||
|              conditional1 = boost::make_shared<GaussianConditional>( | ||||
|              conditional1 = std::make_shared<GaussianConditional>( | ||||
|                  X(0), Vector1(14.1421), I_1x1 * 2.82843); | ||||
|   expectedBayesNet.emplace_back( | ||||
|       new GaussianMixture({X(0)}, {}, {mode}, {conditional0, conditional1})); | ||||
|  |  | |||
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