changed tabs to spaces

da/carbondioxide/obspack.py

@@ -254,27 +254,27 @@ class ObsPackObservations(Observations):
         savedict['missing_value'] = '!'
         f.add_data(savedict)
 
-	data = self.getvalues('obs')
-
-	savedict = io.std_savedict.copy()
-	savedict['name'] = "observed"
-	savedict['long_name'] = "observedvalues"
-	savedict['units'] = "mol mol-1"
-	savedict['dims'] = dimid
-	savedict['values'] = data.tolist()
-	savedict['comment'] = 'Observations used in optimization'
-	f.add_data(savedict)
+    data = self.getvalues('obs')
+
+    savedict = io.std_savedict.copy()
+    savedict['name'] = "observed"
+    savedict['long_name'] = "observedvalues"
+    savedict['units'] = "mol mol-1"
+    savedict['dims'] = dimid
+    savedict['values'] = data.tolist()
+    savedict['comment'] = 'Observations used in optimization'
+    f.add_data(savedict)
     
-	data = self.getvalues('mdm')
+    data = self.getvalues('mdm')
     
-	savedict = io.std_savedict.copy()
-	savedict['name'] = "modeldatamismatch"
-	savedict['long_name'] = "modeldatamismatch"
-	savedict['units'] = "[mol mol-1]"
-	savedict['dims'] = dimid
-	savedict['values'] = data.tolist()
-	savedict['comment'] = 'Standard deviation of mole fractions resulting from model-data mismatch'
-	f.add_data(savedict)
+    savedict = io.std_savedict.copy()
+    savedict['name'] = "modeldatamismatch"
+    savedict['long_name'] = "modeldatamismatch"
+    savedict['units'] = "[mol mol-1]"
+    savedict['dims'] = dimid
+    savedict['values'] = data.tolist()
+    savedict['comment'] = 'Standard deviation of mole fractions resulting from model-data mismatch'
+    f.add_data(savedict)
 
         f.close()
 

da/platform/cartesius.py

@@ -39,7 +39,7 @@ class CartesiusPlatform(Platform):
         """
         Returns a blocking flag, which is important if tm5 is submitted in a queue system. The python ctdas code is forced to wait before tm5 run is finished
 
-	    -on Huygens: return "-s"
+        -on Huygens: return "-s"
             -on Maunaloa: return "" (no queue available)
             -on Jet/Zeus: return
         """
@@ -102,7 +102,7 @@ class CartesiusPlatform(Platform):
                    """#SBATCH -o joblog \n""" + \
                    """module load python\n""" + \
                    """module load nco\n""" + \
-		   """\n"""
+           """\n"""
 
         if 'depends' in joboptions:
             template += """#$ -hold_jid depends \n"""
@@ -151,16 +151,16 @@ class CartesiusPlatform(Platform):
 
 #        jobid   = output.split()[2]
 #        retcode = output.split()[-1]
-#	
+#   
 #         #for huygens
-#	print 'output', output
-#	test   = output.split()[3]
+#   print 'output', output
+#   test   = output.split()[3]
 #        dummy, jobid =test.split('nl.')
-#	jobid='%s%s' %('"',jobid)
-#	submitmsg ='%s%s%s'%(output.split()[4],output.split()[5],output.split()[6])
+#   jobid='%s%s' %('"',jobid)
+#   submitmsg ='%s%s%s'%(output.split()[4],output.split()[5],output.split()[6])
 #        if submitmsg=='hasbeensubmitted.':
-#	    retcode=2
-#        print 'retcode',submitmsg,retcode	 
+#       retcode=2
+#        print 'retcode',submitmsg,retcode   
 #        return retcode
 #
 #    def KillJob(self,jobid):

da/stilt/obspack.py

@@ -67,7 +67,7 @@ class ObsPackObservations(Observations):
             We will loop over all site files in the ObsPackage, and subset each to our needs
 
         """
-	import string
+    import string
 
         # Step 1: Read list of available site files in package
 
@@ -98,11 +98,11 @@ class ObsPackObservations(Observations):
 
             subselect = logical_and(dates >= self.startdate , dates <= self.enddate).nonzero()[0]
 
-	    if len(subselect) == 0:
+        if len(subselect) == 0:
                 ncf.close()
-		continue
+        continue
 
-	    logging.debug("Trying to add %d observations from file (%s) to the Data list" % (len(subselect), ncfile))
+        logging.debug("Trying to add %d observations from file (%s) to the Data list" % (len(subselect), ncfile))
 
             dates = dates.take(subselect, axis=0)
 
@@ -321,27 +321,27 @@ class ObsPackObservations(Observations):
             savedict['missing_value'] = '!'
             f.add_data(savedict)
 
-	    data = data_obs
-
-	    savedict = io.std_savedict.copy()
-	    savedict['name'] = "observed"
-	    savedict['long_name'] = "observedvalues"
-	    savedict['units'] = "mol mol-1"
-	    savedict['dims'] = dimid
-	    savedict['values'] = data.tolist()
-	    savedict['comment'] = 'Observations used in optimization'
-	    f.add_data(savedict)
-
-	    data = data_mdm
-
-	    savedict = io.std_savedict.copy()
-	    savedict['name'] = "modeldatamismatch"
-	    savedict['long_name'] = "modeldatamismatch"
-	    savedict['units'] = "[mol mol-1]"
-	    savedict['dims'] = dimid
-	    savedict['values'] = data.tolist()
-	    savedict['comment'] = 'Standard deviation of mole fractions resulting from model-data mismatch'
-	    f.add_data(savedict)
+        data = data_obs
+
+        savedict = io.std_savedict.copy()
+        savedict['name'] = "observed"
+        savedict['long_name'] = "observedvalues"
+        savedict['units'] = "mol mol-1"
+        savedict['dims'] = dimid
+        savedict['values'] = data.tolist()
+        savedict['comment'] = 'Observations used in optimization'
+        f.add_data(savedict)
+
+        data = data_mdm
+
+        savedict = io.std_savedict.copy()
+        savedict['name'] = "modeldatamismatch"
+        savedict['long_name'] = "modeldatamismatch"
+        savedict['units'] = "[mol mol-1]"
+        savedict['dims'] = dimid
+        savedict['values'] = data.tolist()
+        savedict['comment'] = 'Standard deviation of mole fractions resulting from model-data mismatch'
+        f.add_data(savedict)
 
             f.close()
 

da/stilt/pipeline.py

@@ -325,7 +325,7 @@ def sample_step(dacycle, samples, statevector, obsoperator, lag, advance=False):
         logging.info("    ... No simulations needed for this cycle of lag")
         logging.info("    ... No residuals needed for this cycle of lag")
         logging.info("    ... Proceeding to next cycle of lag")
-	return
+    return
 
     samples.setup(dacycle)
     samples.add_observations()