compile the extensive tests

src/tests/all_combinations_template.cpp

@@ -35,10 +35,13 @@ struct Params {
     struct opt_gridsearch {
         BO_PARAM(int, bins, 20);
     };
-
-    struct opt_cmaes : public defaults::opt_cmaes {
-    };
-
+#ifdef USE_LIBCMAES
+  struct opt_cmaes : public defaults::opt_cmaes {
+  };
+#elif defined(USE_NLOPT)
+  struct opt_nloptnograd : public defaults::opt_nloptnograd {
+  };
+#endif
     struct opt_rprop : public defaults::opt_rprop {
     };
 
@@ -120,4 +123,4 @@ int main()
     @optimizer.best_observation(Average());
     @optimizer.best_sample(Average());
     // clang-format on
-}
\ No newline at end of file
+}

src/tests/create_all_combinations_test.py

@@ -23,7 +23,12 @@ def create(bld):
     models = ['GP']
     gp_lf_optimizations = ['NoLFOpt', 'KernelLFOpt', 'KernelMeanLFOpt', 'MeanLFOpt']
     acquisitions = ['UCB', 'GP_UCB']
-    optimizers = ['RandomPoint', 'GridSearch', 'Cmaes']
+    optimizers = ['RandomPoint', 'GridSearch']
+    if bld.env.DEFINES_NLOPT:
+        optimizers += ['NLOptNoGrad', 'NLOptGrad']
+    if bld.env.DEFINES_LIBCMAES:
+        optimizers += ['Cmaes']
+    
     inits = ['NoInit', 'RandomSampling', 'RandomSamplingGrid', 'GridSampling']
     stats = ['Samples', 'Observations', 'AggregatedObservations', 'BestSamples', 'BestObservations', 'BestAggregatedObservations',
              'BlSamples', 'GPPredictionDifferences', 'GPAcquisitions', 'GPLikelihood']