@@ -83,29 +83,29 @@ def rotne_prager_tensor(r_vectors, eta, a):
8383
8484 # Setup FMM
8585 myFMM = PySTKFMM .Stk3DFMM (mult_order , max_pts , pbc , kernel )
86- kdim , _ , kdimTrg = myFMM .getKernelDimension (kernel )
86+ kdim , _ , kdimTrg = myFMM .get_kernel_dimension (kernel )
8787
8888 # Create sources and target values
8989 src_value = np .random .randn (nsrc , kdim )
9090 src_value [:, 3 ] = a
9191 trg_value = np .zeros ((ntrg , kdimTrg ))
9292 if rank == 0 :
93- myFMM .showActiveKernels ()
93+ myFMM .show_active_kernels ()
9494 print ('kdimSL = ' , kdim )
9595 print ('kdimTrg = ' , kdimTrg )
9696
9797 # Set tree
98- myFMM .setBox (np .array ([0.0 , 0.0 , 0.0 ]), 2.0 )
99- myFMM .setPoints ( nsrc , src_coord , ntrg , trg_coord , 0 , 0 )
100- myFMM .setupTree (kernel )
98+ myFMM .set_box (np .array ([0.0 , 0.0 , 0.0 ]), 2.0 )
99+ myFMM .set_points ( src_coord , trg_coord , np . empty ( shape = ( 0 , 0 )) )
100+ myFMM .setup_tree (kernel )
101101
102102 # Evaluate FMM
103- myFMM .evaluateFMM (kernel , nsrc , src_value , ntrg , trg_value , 0 , 0 )
103+ myFMM .evaluate_fmm (kernel , src_value , trg_value , np . empty ( shape = ( 0 , 0 )) )
104104
105105 # Clear FMM and evaluate again
106106 trg_value [:,:] = 0
107- myFMM .clearFMM (kernel )
108- myFMM .evaluateFMM (kernel , nsrc , src_value , ntrg , trg_value , 0 , 0 )
107+ myFMM .clear_fmm (kernel )
108+ myFMM .evaluate_fmm (kernel , src_value , trg_value , np . empty ( shape = ( 0 , 0 )) )
109109
110110 comm .Barrier ()
111111
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