removed redundant options in lci.pcmaes call by detecting parameter o…

…bject type + example use file, ref #125 #116

python/lcmaes_interface.py

@@ -61,7 +61,11 @@ def to_params(x0, sigma0, str_algo=b'acmaes', fplot=None, lbounds=None, ubounds=
         getattr(p, setter)(val)  # call setter with value
     return p
 
-def pcmaes(fitfunc,p,has_bounds=False,has_scaling=False):
+def pcmaes(fitfunc,p):
+    has_bounds = isinstance(p,lcmaes.CMAParametersPB) or isinstance(p,lcmaes.CMAParametersPBS)
+    has_scaling = isinstance(p,lcmaes.CMAParametersNBS) or isinstance(p,lcmaes.CMAParametersPBS)
+    print(has_bounds)
+    print(has_scaling)
     if not has_bounds:
         if not has_scaling:
             return lcmaes.pcmaes(fitfunc,p)

python/test_interface.py

@@ -0,0 +1,17 @@
+import lcmaes_interface as lci
+
+# setup input parameters                                                                              
+myfun = lambda x: sum([xi**2 for xi in x])  # myfun accepts a list of numbers as input                
+x0 = [2.1] * 10                                                                                       
+sigma0 = 0.1                                                                                          
+mlbounds = [-4]*10
+mubounds = [4]*10
+
+# run optimization via lci                                                                            
+res = lci.pcmaes(lci.to_fitfunc(myfun),                                                        
+                 lci.to_params(x0, sigma0,                                                     
+                               str_algo=b'abipop',quiet=True, # b=bytes, unicode fails                               
+                               lbounds=mlbounds,ubounds=mubounds,
+                               scaling=False,
+                               restarts=2))
+lci.plot()  # plot from file set in lci.to_params