diff --git a/tools/t7.py b/tools/t7.py
index b39dc6f..f2d130f 100644
--- a/tools/t7.py
+++ b/tools/t7.py
@@ -553,48 +553,48 @@ class AutoLayout:
                 continue
 
             # 不平衡文库 大于250G 的数据 先进行拆分
-            # 取消 20240912
-            if is_balance_lib == '否' and size > 250:
-                self.return_log.append(f'文库{library} 是不平衡文库, 数据为{size}, 大于250G, 已做拆分处理, 请注意！！！ ')
-                data_needed = library_df['orderdatavolume'].copy()
-                for num in range(int(size), 0, -200):
-                    addnum = 200
-                    if num <= 200:
-                        addnum = num
-                    library_df['orderdatavolume'] = (addnum / size) * data_needed
-
-                    self.ori_lib_data.append(dict(
-                        library=library,
-                        sample_code=library_df['sampleCode'].values[0],
-                        is_balance_lib=library_df['librarybalancedflag'].values[0],
-                        size=library_df['orderdatavolume'].sum(),
-                        split_method=library_df['cycletype'].values[0],
-                        time=library_df['receivedtime'].values[0],
-                        level=1950,
-                        customer=library_df['companynamea'].values[0],
-                        classification=library_df['classification'].values[0],
-                        data=library_df.to_dict('records')
-                    ))
-                self.split_lib.add(library)
-                continue
+            # 取消 20240918
+            # if is_balance_lib == '否' and size > 250:
+            #     self.return_log.append(f'文库{library} 是不平衡文库, 数据为{size}, 大于250G, 已做拆分处理, 请注意！！！ ')
+            #     data_needed = library_df['orderdatavolume'].copy()
+            #     for num in range(int(size), 0, -200):
+            #         addnum = 200
+            #         if num <= 200:
+            #             addnum = num
+            #         library_df['orderdatavolume'] = (addnum / size) * data_needed
+            #
+            #         self.ori_lib_data.append(dict(
+            #             library=library,
+            #             sample_code=library_df['sampleCode'].values[0],
+            #             is_balance_lib=library_df['librarybalancedflag'].values[0],
+            #             size=library_df['orderdatavolume'].sum(),
+            #             split_method=library_df['cycletype'].values[0],
+            #             time=library_df['receivedtime'].values[0],
+            #             level=1950,
+            #             customer=library_df['companynamea'].values[0],
+            #             classification=library_df['classification'].values[0],
+            #             data=library_df.to_dict('records')
+            #         ))
+            #     self.split_lib.add(library)
+            #     continue
 
             # # 拆分处理 分为了2个大文库
-            # 取消 20240912
-            if size > self.data_limit / 2:
-                library_df['orderdatavolume'] = library_df['orderdatavolume'] / 2
-                self.return_log.append(f'文库{library} 已做拆分处理, 请注意！！！ ')
-                self.ori_lib_data.append(dict(
-                    library=library,
-                    sample_code=library_df['sampleCode'].values[0],
-                    is_balance_lib=library_df['librarybalancedflag'].values[0],
-                    size=library_df['orderdatavolume'].sum(),
-                    split_method=library_df['cycletype'].values[0],
-                    time=library_df['receivedtime'].values[0],
-                    level=library_df['level'].values[0],
-                    customer=library_df['companynamea'].values[0],
-                    classification=library_df['classification'].values[0],
-                    data=library_df.to_dict('records')
-                ))
+            # 取消 20240918
+            # if size > self.data_limit / 2:
+            #     library_df['orderdatavolume'] = library_df['orderdatavolume'] / 2
+            #     self.return_log.append(f'文库{library} 已做拆分处理, 请注意！！！ ')
+            #     self.ori_lib_data.append(dict(
+            #         library=library,
+            #         sample_code=library_df['sampleCode'].values[0],
+            #         is_balance_lib=library_df['librarybalancedflag'].values[0],
+            #         size=library_df['orderdatavolume'].sum(),
+            #         split_method=library_df['cycletype'].values[0],
+            #         time=library_df['receivedtime'].values[0],
+            #         level=library_df['level'].values[0],
+            #         customer=library_df['companynamea'].values[0],
+            #         classification=library_df['classification'].values[0],
+            #         data=library_df.to_dict('records')
+            #     ))
 
             self.ori_lib_data.append(dict(
                 library=library,