Snapshots are now stored in a created directory with the name of the input file appended with '_snaps'

docs/source/input.rst

@@ -790,7 +790,7 @@ or
 * ``f4 f5 f6`` are the upper right (x,y,z) coordinates of the volume of the snapshot in metres.
 * ``f7 f8 f9`` are the spatial discretisation of the snapshot in metres.
 * ``f10`` or ``i1`` are the time in seconds (float) or the iteration number (integer) which denote the point in time at which the snapshot will be taken.
-* ``file1`` is the filename of the file where the snapshot will be stored.
+* ``file1`` is the name of the file where the snapshot will be stored. Snapshot files are automatically stored in a directory with the name of the input file appended with '_snaps'. For multiple model runs each model run will have its own directory, i.e. '_snaps1', 'snaps2' etc...
 
 For example to save a snapshot of the electromagnetic fields in the model at a simulated time of 3 nanoseconds use: ``#snapshot: 0 0 0 1 1 1 0.1 0.1 0.1 3e-9 snap1``
 

gprMax/gprMax.py

@@ -257,6 +257,7 @@ def run_model(args, modelrun, numbermodelruns, inputfile, usernamespace):
 
     # Initialise an instance of the FDTDGrid class
     G = FDTDGrid()
+    G.inputfilename = os.path.split(inputfile)[1]
     G.inputdirectory = usernamespace['inputdirectory']
 
     # Create built-in materials

gprMax/grid.py

@@ -27,6 +27,7 @@ class FDTDGrid:
     """Holds attributes associated with the entire grid. A convenient way for accessing regularly used parameters."""
     
     def __init__(self):
+        self.inputfilename = ''
         self.inputdirectory = ''
         self.title = ''
         self.messages = True

gprMax/snapshots.py

@@ -16,7 +16,7 @@
 # You should have received a copy of the GNU General Public License
 # along with gprMax.  If not, see <http://www.gnu.org/licenses/>.
 
-import sys
+import os, sys
 import numpy as np
 from struct import pack
 
@@ -77,11 +77,15 @@ class Snapshot:
         self.vtk_ny = self.yf - self.ys
         self.vtk_nz = self.zf - self.zs
         
-        # Construct filename from user-supplied name and model run number
+        # Create directory and construct filename from user-supplied name and model run number
         if numbermodelruns == 1:
-            self.filename = G.inputdirectory + self.filename + '.vti'
+            snapshotdir = os.path.join(G.inputdirectory, os.path.splitext(G.inputfilename)[0] + '_snaps')
         else:
-            self.filename = G.inputdirectory + self.filename + '_' + str(modelrun) + '.vti'
+            snapshotdir = os.path.join(G.inputdirectory, os.path.splitext(G.inputfilename)[0] + '_snaps' + str(modelrun))
+        
+        if not os.path.exists(snapshotdir):
+            os.mkdir(snapshotdir)
+        self.filename = os.path.join(snapshotdir, self.filename + '.vti')
         
         # Calculate number of cells according to requested sampling
         self.vtk_xscells = round_value(self.xs / self.dx)