packaging upgrades, faster language id, bug fixes

Took a (longer than expected) break from NLP, so this release is mostly just maintenance and bug fixes — but in anticipation of more interesting updates to come.

• upgraded built-in language identification model (PR #375)
  • replaced v2 thinc/cld3 model with v3 floret/fasttext model, which has much faster predictions and comparable but more consistent performance
• modernized and improved Python packaging for faster, simpler installation and testing (PR #368 and #369)
  • all package metadata and configuration moved into a single pyproject.toml file
  • code formatting and linting updated to use ruff plus newer versions of mypy and black, and their use in GitHub Actions CI has been consolidated
  • bumped supported Python versions range from 3.8–3.10 to 3.9–3.11 (PR #369)
  • added full CI testing matrix for PY 3.9/3.10/3.11 x Linux/macOS/Windows, and removed extraneous AppVeyor integration
• updated and improved type hints throughout, reducing number of mypy complaints by ~80% (PR #372)

Fixed

• fixed ReDoS bugs in regex patterns (PR #371)
• fixed breaking API issues with newer networkx/scikit-learn versions (PR #367)
• improved dev workflow documentation and code to better incorporate language data (PR #363)
• updated caching code with a fix from upstream pysize library, which was preventing Russian-language spaCy model from loading properly (PR #358)

Contributors

Big thanks to @jonwiggins, @Hironsan, amnd @kevinbackhouse for the fixes!