Everyone has a unique writing style, word choice, sentence structure, punctuation habits and that can be used to identify them. Lingunymous rewrites your text using a local LLM to mask these patterns, making it harder to attribute writing to a specific individual.
Use cases include:
- Protecting anonymity when publishing sensitive or controversial content
- Evading authorship attribution and stylometric analysis
- Separating your personal writing fingerprint from pseudonymous accounts
First thank you for taking a look and holding my feet to the fire.
Have several packages based on strictyaml. What matters is YAML files are validated against a schema. Whether use .yml or .yaml is personal preference. My personal preference is typing less characters. Both should be allowed.
Share your hatred of Windows and don’t even see it as a serious OS. So was actually surprised that
.ymlhas some association with Windows or MSFT.If while using any of below packages, you find the .yaml suffix is not recognized, that would be a bug. In which case, create an issue.
These published packages could be affected:
logging-strict
pytest-logging-strict
sphinx-external-toc-strict
To actually confirm has bug status, would have to review the unit tests and see if
.yamlis not tested nor recognized. Otherwise it’s mere conjecture. It’s an unconfirmed possibility. Maybe you are right, maybe not. Or maybe you are on to something.