Interrupt Python program deadlocked in a DLL смотреть онлайн

Title: Troubleshooting Deadlocks in a Python Program Using DLLs
Introduction:
Deadlocks can be a challenging issue to troubleshoot in Python programs that interact with dynamic link libraries (DLLs). A deadlock occurs when two or more threads or processes are unable to proceed because they are each waiting for the other to release a resource. In this tutorial, we will explore common scenarios where Python programs can become deadlocked when using DLLs and provide guidance on how to identify and resolve these issues.
Prerequisites:
Scenario and Code Example:
Consider the following scenario: You have a Python program that utilizes a DLL to perform some computationally intensive tasks in parallel. You decide to use multiple threads to maximize CPU utilization. The code uses the ctypes library to interface with the DLL, and you're encountering deadlock issues. Let's dive into a code example that simulates this scenario:
In this example, multiple threads are created, and each thread invokes a function from the DLL. Deadlocks may occur if the DLL is not thread-safe or if there are shared resources that are not properly synchronized.
Identifying Deadlocks:
When you run the above code, it might hang or become unresponsive, indicating a potential deadlock. To identify deadlocks, you can use the following techniques:
Utilize debugging tools: Tools like gdb, pydb, or IDEs with debugging capabilities can help you identify the specific point in your code where threads are stuck.
Enable thread and debugging support: You can use Python's threading module and debug your program with logging statements or debugging tools to trace the execution flow and locate where threads are waiting indefinitely.