autopep8 code cleanups.

gprMax/constants.py

@@ -41,9 +41,9 @@ ccomplextype = 'pycuda::complex<float>'
 
 # Double precision
 # For numpy arrays
-#floattype = np.float64
+# floattype = np.float64
-#complextype = np.complex128
+# complextype = np.complex128
 
 # For C (CUDA) arrays
-#cfloattype = 'double'
+# cfloattype = 'double'
-#ccomplextype = 'pycuda::complex<double>'
+# ccomplextype = 'pycuda::complex<double>'

gprMax/input_cmds_multiuse.py

@@ -269,7 +269,7 @@ def process_multicmds(multicmds, G):
                 m.start = 0
                 m.stop = G.timewindow
                 startstop = ' '
-            
+
             m.calculate_waveform_values(G)
 
             if G.messages:
@@ -334,7 +334,7 @@ def process_multicmds(multicmds, G):
                 t.start = 0
                 t.stop = G.timewindow
                 startstop = ' '
-            
+
             t.calculate_waveform_values(G)
             t.calculate_incident_V_I(G)
 

gprMax/model_build_run.py

@@ -284,7 +284,7 @@ def solve_cpu(currentmodelrun, numbermodelruns, G):
                 pbar = tqdm(total=snapiters, leave=False, unit='byte', unit_scale=True, desc='  Writing snapshot file {} of {}, {}'.format(i + 1, len(G.snapshots), os.path.split(snap.filename)[1]), ncols=get_terminal_width() - 1, file=sys.stdout, disable=G.tqdmdisable)
                 snap.write_vtk_imagedata(G.Ex, G.Ey, G.Ez, G.Hx, G.Hy, G.Hz, G, pbar)
                 pbar.close()
-    
+
         # Update magnetic field components
         update_magnetic(G.nx, G.ny, G.nz, G.nthreads, G.updatecoeffsH, G.ID, G.Ex, G.Ey, G.Ez, G.Hx, G.Hy, G.Hz)
 

gprMax/utilities.py

@@ -85,11 +85,11 @@ def open_path_file(path_or_file):
 
     Args:
         path_or_file: path as a string or a file object.
-        
+
     Returns:
         f (object): File object.
     """
-    
+
     if isinstance(path_or_file, str):
         f = file_to_close = open(path_or_file, 'r')
     else:
@@ -212,21 +212,21 @@ def memory_usage(G):
 
     Args:
         G (class): Grid class instance - holds essential parameters describing the model.
-        
+
     Returns:
         memestimate (int): Estimate of required memory in bytes
     """
 
     stdoverhead = 50e6
-    
+
     # 6 x field arrays + 6 x ID arrays
     fieldarrays = (6 + 6) * (G.nx + 1) * (G.ny + 1) * (G.nz + 1) * np.dtype(floattype).itemsize
-    
+
     solidarray = G.nx * G.ny * G.nz * np.dtype(np.uint32).itemsize
-    
+
     # 12 x rigidE array components + 6 x rigidH array components
     rigidarrays = (12 + 6) * G.nx * G.ny * G.nz * np.dtype(np.int8).itemsize
-    
+
     pmlarrays = 0
     for (k, v) in G.pmlthickness.items():
         if v > 0: