cpython

Is your feature request related to a problem? Please describe.
Many static type checkers have issues finding Cython's stubs.
Here is from running mypy on my current project:

error: Skipping analyzing "cython": found module but no type hints or library stubs

The same issue can be seen when using import Cython as cython:

error: Skipping analyzing "Cython": found module but 

Based on pythonnet/pythonnet#554

> #r C:\\Python\\Python35_64b\\lib\\site-packages\\Python.Runtime.DLL
> using Python.Runtime;
> dynamic np; using (Py.GIL()) { np = Py.Import("numpy");};
> using System.Collections.Generic;
> using System.Collections;
> dynamic a = np.array(new List<float> { 1, 2, 3 });
> dynamic b = np.array(new List<float> { 6, 5, 4 }, dtype:

This can reduce the amount of boilerplate required. Instead of introducing a macro such as QRIO_MODULE dependent on CIRCUITPY_QRIO and then adding an expansion of it in MICROPY_PORT_BUILTIN_MODULES_STRONG_LINKS, one simply writes in the bindings __init__.c file:

MP_REGISTER_MODULE(MP_QSTR_qrio, qrio_module, CIRCUITPY_QRIO);

where the first item is the module name as a qstr, th

Hi,
I would like to install the dependencies specified in "optional-dependencies" in pyproject.toml as pyO3-pure. However, I don't know how to add extras argument in maturin develop. There is no related information in help message. Thank you.

This could be done adding a new line in scikit-ci-yml.

The line could be

- twine check dist/*

See https://github.com/scikit-build/scikit-build/blob/5f558d3cc063f41b04cb21bd229b0b3faae0f4cb/scikit-ci.yml#L57-L58

It doesn't make sense to have the copy-pasted verbose logging configuration in main.py, main_pingpong.py and main_pingpong_servicer.py, which has the effect equal to

logging.basicConfig(format="[%(asctime)s - %(name)s - %(levelname)s]:  %(message)s", level=logging.WARNING)

Help wanted!

The interaction between unpythonic and the async stuff that was added in Python 3.5 is totally untested, because I haven't used, and I'm not even that familiar with, that part of Python myself.

Reading Brett Cannon's explanation, I surmise the async features are intended mainly for "microthreading" ty