Fix typo according for #236

setup.py

@@ -16,10 +16,10 @@
   packages=find_packages(exclude=["tests*", "docs*"]),
   package_data={
    'spotpy.examples.hymod_exe': ['*'],
-   'spotpy.examples.hymod_python': ['*'],
    'spotpy.examples.hymod_unix': ['*'],
+   'spotpy.examples.hymod_python': ['*']
    },
-  #include_package_data = True,
+  include_package_data = True,
   use_2to3 = True,
   keywords = 'Monte Carlo, MCMC, MLE, SCE-UA, Simulated Annealing, DE-MCz, DREAM, ROPE, Artifical Bee Colony, DDS, PA-DDS, Uncertainty, Calibration, Model, Signatures',
   classifiers = [

spotpy/examples/tutorial_Parameterlist_iterator.py

@@ -17,8 +17,8 @@
 class spot_setup(object):
     slow = 1000
     def __init__(self):
-        self.params = [spotpy.parameter.List('x',[1,2,3,4,6,7,8,9,0]), #Give possible x values as a List
-                       spotpy.parameter.List('y',[0,1,2,5,7,8,9,0,1])  #Give possible y values as a List
+        self.params = [spotpy.parameter.List('x',[1,2,3,4,5,6,7,8,9,0]), #Give possible x values as a List
+                       spotpy.parameter.List('y',[0,1,2,5,6,7,8,9,0,1])  #Give possible y values as a List
                        ]
     def parameters(self):
         return spotpy.parameter.generate(self.params)
@@ -40,4 +40,4 @@ def objectivefunction(self,simulation,evaluation):
 
 
 sampler=spotpy.algorithms.mc(spot_setup(),dbname='Iterator_example',  dbformat='csv') #Parameter lists can be sampled with MC
-sampler.sample(10) #Choose equaly or less repetitions as you have parameters in your List
+sampler.sample(10) #Choose equaly or less repetitions as you have parameters in your List