Undoing the effects of answering Steve's question. Imports must be at…

… the top

libensemble/gen_funcs/aposmm.py

@@ -21,6 +21,9 @@
 
 from math import log, gamma, pi, sqrt
 
+from petsc4py import PETSc
+import nlopt
+
 def aposmm_logic(H,persis_info,gen_specs,_):
     """
     APOSMM coordinates multiple local optimization runs, starting from points
@@ -153,11 +156,6 @@ def aposmm_logic(H,persis_info,gen_specs,_):
 
     """
 
-    if gen_specs['localopt_method'] in ['LN_SBPLX', 'LN_BOBYQA', 'LN_COBYLA', 'LN_NELDERMEAD', 'LD_MMA']:
-        import nlopt
-    elif gen_specs['localopt_method'] in ['pounders']:
-        from petsc4py import PETSc
-
     n, n_s, c_flag, O, r_k, mu, nu = initialize_APOSMM(H, gen_specs)
 
     # np.savez('H'+str(len(H)),H=H,gen_specs=gen_specs,persis_info=persis_info)
@@ -532,7 +530,6 @@ def set_up_and_run_nlopt(Run_H, gen_specs):
     Declares the appropriate syntax for our special objective function to read
     through Run_H, sets the parameters and starting points for the run.
     """
-    import nlopt
 
     assert 'xtol_rel' or 'xtol_abs' or 'ftol_rel' or 'ftol_abs' in gen_specs, "NLopt can cycle if xtol_rel, xtol_abs, ftol_rel, or ftol_abs are not set"
 
@@ -590,8 +587,6 @@ def set_up_and_run_tao(Run_H, gen_specs):
     Declares the appropriate syntax for our special objective function to read
     through Run_H, sets the parameters and starting points for the run.
     """
-    from petsc4py import PETSc
-
     tao_comm = MPI.COMM_SELF
     n = len(gen_specs['ub'])
     m = len(Run_H['fvec'][0])