Formatting cleanups.

gprMax/__main__.py

@@ -7,10 +7,10 @@ if __name__ == '__main__':
 
 # Code profiling
 # Time profiling
-#import cProfile, pstats
+# import cProfile, pstats
-#cProfile.run('gprMax.gprMax.main()','stats')
+# cProfile.run('gprMax.gprMax.main()','stats')
-#p = pstats.Stats('stats')
+# p = pstats.Stats('stats')
-#p.sort_stats('time').print_stats(25)
+# p.sort_stats('time').print_stats(25)
 
 # Memory profiling - use in gprMax.py
 # from memory profiler import profile

gprMax/fractals.py

@@ -65,13 +65,10 @@ class FractalSurface(object):
 
         if self.xs == self.xf:
             surfacedims = (self.ny + 1, self.nz + 1)
-            d = G.dx
         elif self.ys == self.yf:
             surfacedims = (self.nx + 1, self.nz + 1)
-            d = G.dy
         elif self.zs == self.zf:
             surfacedims = (self.nx + 1, self.ny + 1)
-            d = G.dz
 
         self.fractalsurface = np.zeros(surfacedims, dtype=complextype)
 

gprMax/grid.py

@@ -199,7 +199,7 @@ def dispersion_check(G):
         # Minimum wavelength
         minwavelength = minvelocity / maxfreq
 
-        # Resolution of minimum wavelength
+        # Resolution of minimum wavelength
         resolution = minwavelength / resolvedsteps
 
     else:

gprMax/materials.py

@@ -177,7 +177,7 @@ class PeplinskiSoil(object):
         f = 1.3e9
         w = 2 * np.pi * f
         erealw = Material.watereri + ((Material.waterdeltaer) / (1 + (w * Material.watertau)**2))
-        eimagw = w * Material.watertau * ((Material.waterdeltaer) / (1 + (w * Material.watertau)**2))
+        # eimagw = w * Material.watertau * ((Material.waterdeltaer) / (1 + (w * Material.watertau)**2))
 
         a = 0.65  # Experimentally derived constant
         es = (1.01 + 0.44 * self.rs)**2 - 0.062
@@ -187,7 +187,7 @@ class PeplinskiSoil(object):
         # For frequencies in the range 0.3GHz to 1.3GHz
         sigf1 = 0.0467 + 0.2204 * self.rb - 0.411 * self.S + 0.6614 * self.C
         # For frequencies in the range 1.4GHz to 18GHz
-        sigf2 = -1.645 + 1.939 * self.rb - 2.25622 * self.S + 1.594 * self.C
+        # sigf2 = -1.645 + 1.939 * self.rb - 2.25622 * self.S + 1.594 * self.C
 
         # Generate a set of bins based on the given volumetric water fraction values
         mubins = np.linspace(self.mu[0], self.mu[1], nbins + 1)

gprMax/xdmf.py

@@ -279,7 +279,7 @@ def write_output_file(filename, grid, res):
 
 
 def write_xml_doc(options):
-    #write xml to file
+    # write xml to file
     with open(options['filename'] + '.xdmf', 'wb') as xdmf_f:
         xdmf_f.write(options['xml_doc'])