2024/03/09/18:30

app.py

@@ -1235,12 +1235,16 @@ class Dataset:
                      for k in range(cumulative_sum, cumulative_sum + row_unit_num_list[j])]
                 )
                 return_list.extend(
-                    [gr.Textbox("", visible=False)] * (EACH_ROW_NUM - 1 - row_unit_num_list[j])
+                    [gr.Textbox(visible=False)] * (EACH_ROW_NUM - 1 - row_unit_num_list[j])
                 )
-                
+
                 cumulative_sum += row_unit_num_list[j]
 
-            return_list.extend(["", gr.Textbox(visible=False)] * (StaticValue.MAX_PARAMS_NUM - EACH_ROW_NUM * row_len))
+            print("row_len: {}".format(row_len))
+            print(StaticValue.MAX_PARAMS_NUM - EACH_ROW_NUM * row_len)
+            return_list.extend(
+                [gr.Textbox(visible=False)] * (StaticValue.MAX_PARAMS_NUM - EACH_ROW_NUM * row_len)
+            )
 
             return return_list
 
@@ -2441,26 +2445,12 @@ with gr.Blocks(js="./design/welcome.js", css="./design/custom.css") as demo:
         outputs=get_outputs()
     )
 
-    # 数据模型
-    # ！有BUG
-    if Dataset.choose_optimize and Dataset.choose_optimize != MN.none:
-        select_as_model_radio.change(
-            fn=select_as_model,
-            inputs=[select_as_model_radio],
-            outputs=get_outputs()
-        ).then(
-            fn=reset_select_model_optimize_radio_part_1,
-            outputs=get_outputs()
-        ).then(
-            fn=reset_select_model_optimize_radio_part_2,
-            outputs=get_outputs()
-        )
-    else:
-        select_as_model_radio.change(
-            fn=select_as_model,
-            inputs=[select_as_model_radio],
-            outputs=get_outputs()
-        )
+    # 选择模型类型
+    select_as_model_radio.change(
+        fn=select_as_model,
+        inputs=[select_as_model_radio],
+        outputs=get_outputs()
+    )
 
     # [模型]
     linear_regression_model_radio.change(