Has anyone generate a code capable of learning from input data, and then re-compiling itself after a few thousands of information has been processed? The code needs to be re-shaped, but old versions should be saved because it may crash, and I could then find possible bugs.

I am trying to avoid the work of recompiling the code periodically. I am really open to new ideas.

The problem I am facing is that in most clusters one must submit a job, which is placed on a queue (the job), then your new improved code most be already compiled for the new application.

Thanks in advance :) for all replies

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