Update app.py

app.py

@@ -1163,37 +1163,32 @@ with tab2:
                 st.write('Simulating contest on frames')
                 
                 while SimVar <= Sim_size:
-                    try:
-                        fp_random = fp_array[np.random.choice(fp_array.shape[0], Contest_Size-len(CleanPortfolio), replace=False)]
-                        
-                        sample_arrays1 = np.c_[
-                            fp_random, 
+                    fp_random = fp_array[np.random.choice(fp_array.shape[0], Contest_Size-len(CleanPortfolio), replace=False)]
+                    
+                    sample_arrays1 = np.c_[
+                        fp_random, 
+                        np.sum(np.random.normal(
+                            loc=vec_projection_map(fp_random[:, :-5]),
+                            scale=vec_stdev_map(fp_random[:, :-5])),
+                        axis=1)
+                    ]
+            
+                    if insert_port == 1:
+                        sample_arrays2 = np.c_[
+                            up_array, 
                             np.sum(np.random.normal(
-                                loc=vec_projection_map(fp_random[:, :-5]),
-                                scale=vec_stdev_map(fp_random[:, :-5])),
+                                loc=vec_up_projection_map(up_array[:, :-5]),
+                                scale=vec_up_stdev_map(up_array[:, :-5])),
                             axis=1)
                         ]
-                
-                        if insert_port == 1:
-                            sample_arrays2 = np.c_[
-                                up_array, 
-                                np.sum(np.random.normal(
-                                    loc=vec_up_projection_map(up_array[:, :-5]),
-                                    scale=vec_up_stdev_map(up_array[:, :-5])),
-                                axis=1)
-                            ]
-                            sample_arrays = np.vstack((sample_arrays1, sample_arrays2))
-                        else:
-                            sample_arrays = sample_arrays1
-                
-                        final_array = sample_arrays[sample_arrays[:, 10].argsort()[::-1]]
-                        best_lineup = final_array[final_array[:, -1].argsort(kind='stable')[::-1][:1]]
-                        Sim_Winners.append(best_lineup)
-                        SimVar += 1
-                
-                    except Exception as e:
-                        # Handle exceptions here but avoid using try-except for control flow
-                        print("Exception: ", e)
+                        sample_arrays = np.vstack((sample_arrays1, sample_arrays2))
+                    else:
+                        sample_arrays = sample_arrays1
+            
+                    final_array = sample_arrays[sample_arrays[:, 10].argsort()[::-1]]
+                    best_lineup = final_array[final_array[:, -1].argsort(kind='stable')[::-1][:1]]
+                    Sim_Winners.append(best_lineup)
+                    SimVar += 1
 
                         
                 # del smple_arrays