- https://github.com/coveragepy/coveragepy/issues/2099
- https://github.com/coveragepy/coveragepy/issues/2128
- https://github.com/coveragepy/coveragepy/issues/2137
| GitHub | https://github.com/devdanzin |
#Python is for artists too! #stickers
https://villares-shop.fourthwall.com/products/python-is-for-artists-too
@procrastiwalter Pra mim também. E conheço diversos autistas, meu filho incluso, que têm grande facilidade com matemática em geral.
Sempre que vejo qualquer generalização sobre autistas fico com um pé atrás. Mesmo as dificuldades de socializar são muito variáveis, o jeito de lidar com a empatia (exagerada ou suprimida), a forma de lidar com frustrações (o que pode passar a impressão de facilidades ou dificuldades), o masking interfere muito em tudo, etc.
@simon What's your opinion on using AI to improve existing code? I'm taking a stab at it in https://github.com/devdanzin/code-review-toolkit. It defines agents and scripts to review code, and you can ask your agent to use it and improve/fix the issues it finds.
For my projects, it seems to catch important improvement opportunities and issues to fix. Works like a supercharged linter, linting behavior, architecture, macro and micro implementation details, etc. Not sure whether it's a real effect or just placebo though.
labeille Package Registry stats
Top 3.15 Blockers (364 packages):
* PyO3 / Rust / maturin: 111
* C extension build failures: 108
* pydantic-core (transitive PyO3): 69
* numpy / scipy / meson: 43
Once PyO3 adds 3.15 support, ~180 more packages will unlock (PyO3 direct + pydantic-core transitive)
Skip Reasons (418 packages):
* Monorepo subpackage (Azure, GCloud, etc.): 214
* No test suite found: 70
* No source repository: 52
* Type stub packages: 42
labeille Package Registry stats
We've grown the registry: https://github.com/devdanzin/labeille/tree/main/registry/packages
* Total packages: 1,500
* Enriched (information collected and present): 1,500 (100%)
* Fully runnable on CPython 3.15: 654 (43.6%)
* Skipped (no tests, monorepo, etc.): 418 (27.9%)
* 3.15-specific blockers (skip_versions): 364 (24.3%)
* pytest: 95.1% (1,427 packages)
* unittest: 4.8% (72 packages)
* GitHub: 96.4% of repos
* Same JIT crash found in 7 packages