correct indentation pb

work/tools/python/camel.py

@@ -321,6 +321,7 @@ parname = {
     'AdustTT'              : '$A_\mathrm{dust}^\mathrm{TT}$',
     'AdustTP'              : '$A_\mathrm{dust}^\mathrm{TE}$',
     'AdustPP'              : '$A_\mathrm{dust}^\mathrm{EE}$',
+    'SPT_ADust'            : '$A^\mathrm{dust}_\mathrm{SPT}$',
     'SPT_high_95_cal'      : '$c^\mathrm{SPT\ high}_{95}$',
     'SPT_high_150_cal'     : '$c^\mathrm{SPT\ high}_{150}$',
     'SPT_high_220_cal'     : '$c^\mathrm{SPT\ high}_{220}$',
@@ -977,8 +978,6 @@ def writeExtendedBestFit( dbdir,   bfwrite=False, outpath=""):
                 #print param_line
 
                 sf.close()
-                    
-
         
 
         for s in  [f1 for f1 in f if ".o" in f1]:
@@ -1313,27 +1312,29 @@ class prof:
         for idir in dirs:
             if not self.parname in idir:
                 continue
-            
+
             p,d,f = os.walk("%s/%s" % (self.dbdir,idir)).next()
 
             if writeBestfit:
                 self._writeBestFit(idir,f)
-#                for f2 in [f1 for f1 in f if ".o" in f1]:
-
+            #                for f2 in [f1 for f1 in f if ".o" in f1]:
+        
             #check there are more than nestimate bestfit in directory idir
             if sum([s.startswith("best_fit") for s in f]) >= nestimate:
                 # gets the value indicated in the subfolder's name
+                
                 keep=True
                 for ii in remove:
                     if ii == idir.replace(self.parname+'_',''):
                         keep=False
-
+                
                 if keep:
                     self._s.append( idir.replace(self.parname+'_',''))
                 # same thing but casts in double
                     self._v.append( np.double(idir.replace(self.parname+'_',''))+self._offset)
 
         if len(self._s) <= 2:
+            
             raise ValueError( "not enough profiled-value available (need at least two)")
 
         sortidx = np.argsort(self._v)
@@ -1399,13 +1400,16 @@ class prof:
         for f in np.sort(files):
             #read all parameters
             fname= "%s/%s_%s/%s" % (self.dbdir,self.parname,val,f)
+            if verbose:
+                print fname
+                print os.stat(fname).st_size
             if os.stat(fname).st_size !=0:
 		bftmp = read_bestfit( "%s/%s_%s/%s" % (self.dbdir,self.parname,val,f))
-            if verbose:
-                prtval = 'chi2' if verbose == True else verbose
-                print( f, bftmp[prtval])
-            if bftmp['chi2'] < bf['chi2']:
-                bf = bftmp
+                if verbose:
+                    prtval = 'chi2' if verbose == True else verbose
+                    print( f, bftmp[prtval])
+                if bftmp['chi2'] < bf['chi2']:
+                    bf = bftmp
 
         return( bf)
     
@@ -1571,6 +1575,7 @@ class prof:
             all plot arguments
         """
         ax = plt.gca()
+        
         color     = kwargs.pop( "color", next(ax._get_lines.color_cycle))
         linestyle = kwargs.pop( "linestyle",  '-')
         label     = kwargs.pop( "label",     None)