Reformatted some code in a few more files.

examples/subgrids/gssi_400_over_fractal_subsurface.py

@@ -102,9 +102,11 @@ halfspace = gprMax.Box(p1=(0, 0, 0), p2=(x, y, antenna_p[2]), material_id='soil'
 scene.add(halfspace)
 
 for i in range(1, 51):
-    snap = gprMax.Snapshot(p1=(0, y / 2, 0), p2=(x, y / 2 + dl, z), dl=(dl, dl, dl),
-                           filename=Path(*parts[:-1], parts[-1] + '_' + str(i)).name,
-                           time=i * tw / 50)
+    snap = gprMax.Snapshot(p1=(0, y / 2, 0),
+                           p2=(x, y / 2 + dl, z),
+                           dl=(dl, dl, dl),
+                           filename=Path(*parts[:-1], f'{parts[-1]}_{str(i)}').name,
+                           time=i * tw / 50,)
     scene.add(snap)
 
 # create a geometry view of the main grid and the sub grid stitched together

gprMax/contexts.py

@@ -92,7 +92,7 @@ class Context:
 
     def print_logo_copyright(self):
         """Prints gprMax logo, version, and copyright/licencing information."""
-        logo_copyright = logo(__version__ + ' (' + codename + ')')
+        logo_copyright = logo(f'{__version__} ({codename})')
         logger.basic(logo_copyright)
 
     def print_sim_time_taken(self):
@@ -164,19 +164,15 @@ class MPIContext(Context):
         executor = self.MPIExecutor(self._run_model, comm=self.comm)
 
         # Check GPU resources versus number of MPI tasks
-        if executor.is_master():
-            if config.sim_config.general['solver'] == 'cuda':
-                if executor.size - 1 > len(config.sim_config.devices['devs']):
-                    logger.exception('Not enough GPU resources for number of '
-                                     'MPI tasks requested. Number of MPI tasks '
-                                     'should be equal to number of GPUs + 1.')
-                    raise ValueError
-
-        # Create job list
-        jobs = []
-        for i in self.model_range:
-            jobs.append({'i': i})
+        if (executor.is_master() and
+            config.sim_config.general['solver'] == 'cuda' and
+            executor.size - 1 > len(config.sim_config.devices['devs'])):
+            logger.exception('Not enough GPU resources for number of '
+                             'MPI tasks requested. Number of MPI tasks '
+                             'should be equal to number of GPUs + 1.')
+            raise ValueError
 
+        jobs = [{'i': i} for i in self.model_range]
         # Send the workers to their work loop
         executor.start()
         if executor.is_master():

gprMax/model_build_run.py

@@ -73,7 +73,7 @@ class ModelBuildRun:
         self.p = psutil.Process()
 
         # Normal model reading/building process; bypassed if geometry information to be reused
-        self.build_geometry() if not config.get_model_config().reuse_geometry else self.reuse_geometry()
+        self.reuse_geometry() if config.get_model_config().reuse_geometry else self.build_geometry()
 
         logger.info(f'\nOutput directory: {config.get_model_config().output_file_path.parent.resolve()}')
 
@@ -109,11 +109,11 @@ class ModelBuildRun:
 
         # Write files for any geometry views and geometry object outputs
         gvs = G.geometryviews + [gv for sg in G.subgrids for gv in sg.geometryviews]
-        if not (gvs or G.geometryobjectswrite) and config.sim_config.args.geometry_only:
+        if (not gvs and not G.geometryobjectswrite and config.sim_config.args.geometry_only):
             logger.exception('\nNo geometry views or geometry objects found.')
             raise ValueError
         save_geometry_views(gvs)
-        
+
         if G.geometryobjectswrite:
             logger.info('')
             for i, go in enumerate(G.geometryobjectswrite):
@@ -271,8 +271,7 @@ class ModelBuildRun:
                 logger.warning(f"You have specified more threads ({config.get_model_config().ompthreads}) "
                                f"than available physical CPU cores ({config.sim_config.hostinfo['physicalcores']}). "
                                f"This may lead to degraded performance.")
-        # Print information about any compute device, e.g. GPU, in use
-        elif config.sim_config.general['solver'] == 'cuda' or config.sim_config.general['solver'] == 'opencl':           
+        elif config.sim_config.general['solver'] in ['cuda', 'opencl']:           
             if config.sim_config.general['solver'] == 'opencl':
                 solvername = 'OpenCL'
                 platformname = ' on ' + ' '.join(config.get_model_config().device['dev'].platform.name.split())
@@ -338,11 +337,11 @@ class GridBuilder:
         pbar.close()
 
     def tm_grid_update(self):
-        if '2D TMx' == config.get_model_config().mode:
+        if config.get_model_config().mode == '2D TMx':
             self.grid.tmx()
-        elif '2D TMy' == config.get_model_config().mode:
+        elif config.get_model_config().mode == '2D TMy':
             self.grid.tmy()
-        elif '2D TMz' == config.get_model_config().mode:
+        elif config.get_model_config().mode == '2D TMz':
             self.grid.tmz()
 
     def update_voltage_source_materials(self):

setup.py

@@ -134,12 +134,12 @@ if 'cleanall' in sys.argv:
     for file in cythonfiles:
         filebase = os.path.splitext(file)[0]
         # Remove Cython C files
-        if os.path.isfile(filebase + '.c'):
+        if os.path.isfile(f'{filebase}.c'):
             try:
-                os.remove(filebase + '.c')
-                print(f'Removed: {filebase + ".c"}')
+                os.remove(f'{filebase}.c')
+                print(f'Removed: {filebase}.c')
             except OSError:
-                print(f'Could not remove: {filebase + ".c"}')
+                print(f'Could not remove: {filebase}.c')
         # Remove compiled Cython modules
         libfile = (glob.glob(os.path.join(os.getcwd(), 
                              os.path.splitext(file)[0]) + '*.pyd') +