r14280 - /branches/gui_testing/generic_fns/structure/geometric.py -- August 09, 2011 - 09:29

Author: bugman
Date: Tue Aug  9 09:29:20 2011
New Revision: 14280

URL: http://svn.gna.org/viewcvs/relax?rev=14280&view=rev
Log:
The geometric shape PDB files are now being added to the cdp.results_files 
list.


Modified:
    branches/gui_testing/generic_fns/structure/geometric.py

Modified: branches/gui_testing/generic_fns/structure/geometric.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/gui_testing/generic_fns/structure/geometric.py?rev=14280&r1=14279&r2=14280&view=diff
==============================================================================
--- branches/gui_testing/generic_fns/structure/geometric.py (original)
+++ branches/gui_testing/generic_fns/structure/geometric.py Tue Aug  9 
09:29:20 2011
@@ -390,6 +390,11 @@
         structure.write_pdb(pdb_file)
         pdb_file.close()
 
+    # Add the file to the results file list.
+    if not hasattr(cdp, 'result_files'):
+        cdp.result_files = []
+    cdp.result_files.append(['Cone PDB', pdb_path])
+
 
 def create_diff_tensor_pdb(scale=1.8e-6, file=None, dir=None, force=False):
     """Create the PDB representation of the diffusion tensor.
@@ -565,6 +570,11 @@
     # Close the file.
     tensor_pdb_file.close()
 
+    # Add the file to the results file list.
+    if not hasattr(cdp, 'result_files'):
+        cdp.result_files = []
+    cdp.result_files.append(['Diffusion tensor PDB', tensor_pdb_path])
+
 
 def create_vector_dist(length=None, symmetry=True, file=None, dir=None, 
force=False):
     """Create a PDB representation of the XH vector distribution.
@@ -700,6 +710,11 @@
 
     # Close the file.
     tensor_pdb_file.close()
+
+    # Add the file to the results file list.
+    if not hasattr(cdp, 'result_files'):
+        cdp.result_files = []
+    cdp.result_files.append(['Vector distribution PDB', tensor_pdb_path])
 
 
 def generate_vector_dist(mol=None, res_name=None, res_num=None, chain_id='', 
centre=zeros(3, float64), R=eye(3), warp=eye(3), limit_check=None, scale=1.0, 
inc=20, distribution='uniform', debug=False):