Update to current spotpy code stlye

spotpy/examples/tutorial_own_database.py

@@ -16,23 +16,18 @@
 
 
 class spot_setup(object):
-    slow = 1000
+    a = spotpy.parameter.Uniform(low=0, high=1)
+    b = spotpy.parameter.Uniform(low=0, high=1)
+
     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.db_headers = ["obj_functions", "parameters", "simulations"]
 
         self.database = open('MyOwnDatabase.txt', 'w')
         self.database.write("\t".join(self.db_headers) + "\n")
 
-    def parameters(self):
-        return spotpy.parameter.generate(self.params)
-
     def simulation(self, vector):
         x = np.array(vector)
-        for i in range(self.slow):
-            _ = np.sin(i)
         simulations = [sum(100.0*(x[1:] - x[:-1]**2.0)**2.0 + (1 - x[:-1])**2.0)]
         return simulations
 
@@ -45,14 +40,15 @@ def objectivefunction(self, simulation, evaluation):
         return objectivefunction
 
     def save(self, objectivefunctions, parameter, simulations, *args, **kwargs):
-        param_str = "|".join((str(p) for p in parameter))
-        sim_str = "|".join((str(s) for s in simulations))
+        param_str = "\t".join((str(p) for p in parameter))
+        sim_str = "\t".join((str(s) for s in simulations))
         line = "\t".join([str(objectivefunctions), param_str, sim_str]) + '\n'
         self.database.write(line)
 
-spot_setup = spot_setup()
-
-# Leave out dbformat and dbname and spotpy will return results in spot_setup.save function
-sampler = spotpy.algorithms.mc(spot_setup)
-sampler.sample(9) # Choose equal or less repetitions as you have parameters in your List
-spot_setup.database.close() # Close the created txt file
+if __name__ == "__main__":
+    spot_setup = spot_setup()
+
+    # set dbformat to custom and spotpy will return results in spot_setup.save function
+    sampler = spotpy.algorithms.mc(spot_setup, dbformat='custom')
+    sampler.sample(100) # Choose equal or less repetitions as you have parameters in your List
+    spot_setup.database.close() # Close the created txt file