FIX: bug for wrong optimal status

alphamind/analysis/factoranalysis.py

@@ -104,7 +104,7 @@ def er_portfolio_analysis(er: np.ndarray,
                                             risk_target=(risk_lbound, risk_ubound),
                                             turn_over_target=turn_over_target,
                                             current_position=current_position)
-        if status != 'optimal':
+        if status not in ("optimal", "optimal_inaccurate"):
             raise ValueError('linear programming optimizer in status: {0}'.format(status))
 
     elif method == 'rank':

alphamind/portfolio/linearbuilder.py

@@ -105,7 +105,7 @@ def linear_builder(er: np.ndarray,
                            current_risk_exposure <= risk_ubound.flatten(),
                            norm1(w - current_position) <= turn_over_target]
 
-            objective = Minimize(-w.T * er)
+            objective = Minimize(-w.T @ er)
             prob = Problem(objective, constraints)
             prob.solve(solver='ECOS', feastol=1e-10, abstol=1e-10, reltol=1e-10)