DeprecationWarning: the md5 module is deprecated

本文详细介绍了如何解决Apache服务器中mod_python导入器模块出现的DeprecationWarning错误问题,通过应用mod_python补丁并更新md5模块,成功解决了错误并优化了服务器性能。

Apache的error_log:
/usr/local/lib/python2.6/site-packages/mod_python/importer.py:32: DeprecationWarning: the md5 module is deprecated; use hashlib instead import md5

解决办法:
GOOGLE下发现这是个BUG,在Red Hat Bugzilla找到了解决办法:https://bugzilla.redhat.com/show_bug.cgi?id=526062

 

mod_python patch:

--- mod_python-3.3.1/lib/python/mod_python/importer.py
+++ mod_python-3.3.1/lib/python/mod_python/importer.py
@@ -29,7 +29,10 @@ import new
 import types
 import pdb
 import imp
-import md5
+try:
+    from hashlib import md5
+except ImportError:
+    from md5 import md5
 import time
 import string
 import StringIO
@@ -969,7 +972,7 @@ class _ModuleCache:
         # name which is a filesystem path. Hope MD5 hex
         # digest is okay.
 
-        return self._prefix + md5.new(file).hexdigest()
+        return self._prefix + md5(file).hexdigest()
 
 
 _global_modules_cache = _ModuleCache()

 

C:\Users\HNUST\AppData\Local\Programs\Python\Python38\python.exe D:\Algorithm\yolov5_Bucket\main.py D:\Algorithm\yolov5_Bucket\main.py:17: DeprecationWarning: sipPyTypeDict() is deprecated, the extension module should use sipPyTypeDictRef() instead class Ui_MainWindow(QtWidgets.QMainWindow): QSS file successfully loaded. Found version patches to be applied. Found application patches to be applied. D:\Algorithm\yolov5_Bucket\models\experimental.py:96: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. ckpt = torch.load(attempt_download(w), map_location=map_location) # load Fusing layers... Model Summary: 213 layers, 7015519 parameters, 0 gradients, 15.8 GFLOPs 打开图片 [ WARN:0@11.687] global loadsave.cpp:241 cv::findDecoder imread_('D:/Algorithm/datasets_铲斗/train/images/fh_ftp_q2_20230906_102525.jpg'): can't open/read file: check file path/integrity D:/Algorithm/datasets_铲斗/train/images/fh_ftp_q2_20230906_102525.jpg 进程已结束,退出代码为 -1073740791 (0xC0000409)
03-26
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