Redacted excerpt; full evidence withheld.

$ pwd; rg --files -g 'README*' -g 'pyproject.toml' -g 'setup.py' -g 'tox.ini' -g '.github/workflows/**' -g 'charset_normalizer/**' | head -100; sed -n '1,240p' README.md; python3 --version; id -u
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ations, and I wanted to propose a
reliable alternative using a completely different method. Also! I never back down on a good challenge!

I **don't care** about the **originating charset** encoding, because **two different tables** can
produce **two identical rendered string.**
What I want is to get readable text, the best I can.

In a way, **I'm brute forcing text decoding.** How cool is that ? 😎

Don't confuse package **ftfy** with charset-normalizer or chardet. ftfy goal is to repair Unicode string whereas charset-normalizer to convert raw file in unknown encoding to unicode.
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