Cog is a small tool I wrote years ago. It finds snippets of Python in text files, executes them, and inserts the result back into the text. It’s good for adding a little bit of computational support into an otherwise static file. Originally I wrote it to generate boilerplate C code, but now I use it for making all my presentations.
It has sat dormant for a long time. Recently someone asked me if it was maintained, and I huffily answered, “it’s maintained as much as it needs to be.” But they were right to ask: it certainly had the look of an abandoned property.
So I jumped in and did a bunch of work to it. Development moved from Bitbucket to GitHub. I merged a few pull requests. I added Travis and Appveyor CI.
The biggest functional change is that errors during execution now get reasonable tracebacks that don’t require you to reverse-engineer how cog ran your code.
I even used mutmut to add a few more tests.
The result is Cog 3.0, ready for your use! I’ll try to stay on top of it better now, I promise!
from Planet Python
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