fix more tests

Author: jlnav

libensemble/tests/functionality_tests/test_GPU_gen_resources.py

@@ -82,6 +82,7 @@
         "give_all_with_same_priority": False,
         "async_return": False,
         "user": {
+            "initial_batch_size": nworkers - 1,
             "max_procs": nworkers - 1,  # Any sim created can req. 1 worker up to all.
             "lb": np.array([-3, -2]),
             "ub": np.array([3, 2]),

libensemble/tests/functionality_tests/test_persistent_sampling_CUDA_variable_resources.py

@@ -65,6 +65,7 @@
         "give_all_with_same_priority": False,
         "async_return": True,
         "user": {
+            "initial_batch_size": nworkers - 1,
             "max_resource_sets": nworkers - 1,  # Any sim created can req. 1 worker up to all.
             "lb": np.array([-3, -2]),
             "ub": np.array([3, 2]),

libensemble/tests/functionality_tests/test_persistent_uniform_sampling_async.py

@@ -59,7 +59,7 @@
     exit_criteria = {"gen_max": 100, "wallclock_max": 300}
 
     # Perform the run
-    H, persis_info, flag = libE(sim_specs, gen_specs, exit_criteria, persis_info, libE_specs)
+    H, persis_info, flag = libE(sim_specs, gen_specs, exit_criteria, persis_info, libE_specs=libE_specs)
 
     if is_manager:
         [_, counts] = np.unique(H["gen_ended_time"], return_counts=True)

libensemble/tests/functionality_tests/test_runlines_adaptive_workers_persistent.py

@@ -63,6 +63,7 @@
         "initial_batch_size": nworkers - 1,
         "give_all_with_same_priority": False,
         "user": {
+            "initial_batch_size": nworkers - 1,
             "max_resource_sets": max_rsets,
             "lb": np.array([-3, -2]),
             "ub": np.array([3, 2]),

libensemble/tests/functionality_tests/test_runlines_adaptive_workers_persistent_oversubscribe_rsets.py

@@ -65,6 +65,7 @@
         "initial_batch_size": nworkers - 1,
         "give_all_with_same_priority": False,
         "user": {
+            "initial_batch_size": nworkers - 1,
             "max_resource_sets": max_rsets,
             "lb": np.array([-3, -2]),
             "ub": np.array([3, 2]),