How can I debug my multiprocessing code in Python?
An example of an AI chatbot conversation about debugging multiprocessing code in Python.
How can I debug my multiprocessing code in Python?
You can use the logging module to track the flow of your code. Additionally, consider using multiprocessing.Queue to send messages between processes.
What if I want to see the output of each process?
You can redirect the output of each process to a separate log file or use print statements along with logging to capture the output.
Are there any tools that can help with debugging?
Yes, tools like PyCharm and Visual Studio Code have built-in support for debugging multiprocessing code, allowing you to set breakpoints.
What common issues should I look out for?
Common issues include deadlocks, race conditions, and ensuring that shared resources are properly synchronized.
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