Fix error in epf logic

src/popt/loop/optimize.py

@@ -198,7 +198,7 @@ def run_loop(self):
                     previous_state = self.xk
                     self.epf['r'] *= self.epf['r_factor']  # increase penalty factor
                     self.obj_func_tol *= self.epf['tol_factor']  # decrease tolerance
-                    self.obj_func_values = self.fun(self.xk, **self.epf)
+                    self.obj_func_values = self.fun(self.xk, epf=self.epf)
                     self.iteration = 0
                     self.epf_iteration += 1
                     optimize_result = ot.get_optimize_result(self)

src/popt/update_schemes/enopt.py

@@ -97,7 +97,9 @@ def __set__variable(var_name=None, defalut=None):
 
         # Set other optimization parameters
         self.obj_func_tol = __set__variable('tol', 1e-6)
-        self.alpha = __set__variable('alpha', 0.1)
+        self.alpha = __set__variable('step_size', 0.1)
+        self.alpha = __set__variable('alpha', 0.1) # accept either 'step_size' or 'alpha' for step size, 
+                                                                   # with 'alpha' as the default
         self.alpha_cov = __set__variable('alpha_cov', 0.001)
         self.beta = __set__variable('beta', 0.0)  # this is stored in the optimizer class
         self.nesterov = __set__variable('nesterov', False)  # use Nesterov acceleration if value is true