Author: bugman Date: Tue Oct 7 23:12:08 2008 New Revision: 7569 URL: http://svn.gna.org/viewcvs/relax?rev=7569&view=rev Log: Fixes for the spin container select flag. Now the flag is always set to the bools True or False rather than 1 and 0. Modified: 1.3/specific_fns/consistency_tests.py 1.3/specific_fns/jw_mapping.py 1.3/specific_fns/relax_fit.py Modified: 1.3/specific_fns/consistency_tests.py URL: http://svn.gna.org/viewcvs/relax/1.3/specific_fns/consistency_tests.py?rev=7569&r1=7568&r2=7569&view=diff ============================================================================== --- 1.3/specific_fns/consistency_tests.py (original) +++ 1.3/specific_fns/consistency_tests.py Tue Oct 7 23:12:08 2008 @@ -309,12 +309,12 @@ # Check for sufficient data if not hasattr(spin, 'relax_data'): - spin.select = 0 + spin.select = False continue # Require 3 or more data points if len(spin.relax_data) < 3: - spin.select = 0 + spin.select = False continue Modified: 1.3/specific_fns/jw_mapping.py URL: http://svn.gna.org/viewcvs/relax/1.3/specific_fns/jw_mapping.py?rev=7569&r1=7568&r2=7569&view=diff ============================================================================== --- 1.3/specific_fns/jw_mapping.py (original) +++ 1.3/specific_fns/jw_mapping.py Tue Oct 7 23:12:08 2008 @@ -283,12 +283,12 @@ for spin in spin_loop(): # Check if data exists. if not hasattr(spin, 'relax_data'): - spin.select = 0 + spin.select = False continue # Require 3 or more data points. if len(spin.relax_data) < 3: - spin.select = 0 + spin.select = False continue Modified: 1.3/specific_fns/relax_fit.py URL: http://svn.gna.org/viewcvs/relax/1.3/specific_fns/relax_fit.py?rev=7569&r1=7568&r2=7569&view=diff ============================================================================== --- 1.3/specific_fns/relax_fit.py (original) +++ 1.3/specific_fns/relax_fit.py Tue Oct 7 23:12:08 2008 @@ -665,7 +665,7 @@ # Skip and deselect spins which have no data. if not hasattr(spin, 'intensities'): - spin.select = 0 + spin.select = False continue # Initialise the average intensity and standard deviation data structures.