Index: wflow-py/UnitTests/Testwflow_hbv.py
===================================================================
diff -u -ra2e61763bb96f59eb2d3dadb0e91431d91ff5a69 -r12ea40dc08628f654753679e0972e87b7bb12f7a
--- wflow-py/UnitTests/Testwflow_hbv.py	(.../Testwflow_hbv.py)	(revision a2e61763bb96f59eb2d3dadb0e91431d91ff5a69)
+++ wflow-py/UnitTests/Testwflow_hbv.py	(.../Testwflow_hbv.py)	(revision 12ea40dc08628f654753679e0972e87b7bb12f7a)
@@ -1,67 +1,70 @@
-__author__ = 'schelle'
+__author__ = "schelle"
 
 import unittest
 import wflow.wflow_hbv as wf
 import os, datetime
+
 """
 
 Run wflow_hbv for 30 steps and checks if the outcome is approx that of the reference run
 
 """
 
-class MyTest(unittest.TestCase):
 
+class MyTest(unittest.TestCase):
     def testapirun(self):
         startTime = 1
         stopTime = 30
         currentTime = 1
 
-          # set runid, clonemap and casename. Also define the ini file
+        # set runid, clonemap and casename. Also define the ini file
         runId = "unittest"
-        configfile="wflow_hbv.ini"
-        wflow_cloneMap = 'wflow_catchment.map'
-        caseName="wflow_hbv"
-        starttime = starttime = datetime.datetime(1990,01,01)
+        configfile = "wflow_hbv.ini"
+        wflow_cloneMap = "wflow_catchment.map"
+        caseName = "wflow_hbv"
+        starttime = starttime = datetime.datetime(1990, 01, 01)
 
-        myModel = wf.WflowModel(wflow_cloneMap, caseName,runId,configfile)
-         # initialise the framework
-        dynModelFw = wf.wf_DynamicFramework(myModel, stopTime,firstTimestep=startTime,datetimestart=starttime)
+        myModel = wf.WflowModel(wflow_cloneMap, caseName, runId, configfile)
+        # initialise the framework
+        dynModelFw = wf.wf_DynamicFramework(
+            myModel, stopTime, firstTimestep=startTime, datetimestart=starttime
+        )
         print dynModelFw.DT
 
-          # Load model config from files and check directory structure
-        dynModelFw.createRunId(NoOverWrite=False,level=wf.logging.DEBUG)
+        # Load model config from files and check directory structure
+        dynModelFw.createRunId(NoOverWrite=False, level=wf.logging.DEBUG)
         # Run the initial part of the model (reads parameters and sets initial values)
-        dynModelFw._runInitial() # Runs initial part
+        dynModelFw._runInitial()  # Runs initial part
 
-        dynModelFw._runResume() # gets the state variables
+        dynModelFw._runResume()  # gets the state variables
         sump = 0.0
-        for ts in range(startTime,stopTime + 1):
-            if ts <10:
-                dynModelFw.wf_setValues('P', 0.0)
+        for ts in range(startTime, stopTime + 1):
+            if ts < 10:
+                dynModelFw.wf_setValues("P", 0.0)
             elif ts <= 15:
-                dynModelFw.wf_setValues('P', 10.0)
+                dynModelFw.wf_setValues("P", 10.0)
             else:
-                dynModelFw.wf_setValues('P', 0.0)
+                dynModelFw.wf_setValues("P", 0.0)
 
-            dynModelFw.wf_setValues('PET', 2.0)
-            dynModelFw.wf_setValues('TEMP', 10.0)
-            dynModelFw._runDynamic(ts,ts) # runs for all timesteps
-        dynModelFw._runSuspend() # saves the state variables
+            dynModelFw.wf_setValues("PET", 2.0)
+            dynModelFw.wf_setValues("TEMP", 10.0)
+            dynModelFw._runDynamic(ts, ts)  # runs for all timesteps
+        dynModelFw._runSuspend()  # saves the state variables
         dynModelFw._wf_shutdown()
 
         # nore read the csv results acn check of they match the first run
         # Sum should be approx c 4.569673676
-        my_data = wf.genfromtxt(os.path.join(caseName,runId,"watbal.csv"), delimiter=',')
+        my_data = wf.genfromtxt(
+            os.path.join(caseName, runId, "watbal.csv"), delimiter=","
+        )
 
-        print("Checking  water budget ....")
-        self.assertAlmostEquals(0.0011471913849163684,my_data[:,2].sum(),places=4)
+        print ("Checking  water budget ....")
+        self.assertAlmostEquals(0.0011471913849163684, my_data[:, 2].sum(), places=4)
 
-        my_data = wf.genfromtxt(os.path.join(caseName,runId,"run.csv"), delimiter=',')
-        print("Checking  discharge ....")
-        self.assertAlmostEquals(1092.849374135335,my_data[:,2].mean(),places=4)
+        my_data = wf.genfromtxt(os.path.join(caseName, runId, "run.csv"), delimiter=",")
+        print ("Checking  discharge ....")
+        self.assertAlmostEquals(1092.849374135335, my_data[:, 2].mean(), places=4)
 
 
-
-
-if __name__ == '__main__':
+if __name__ == "__main__":
     unittest.main()