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dfdb284e16
All functions that take an optional dtype should
* have a default dtype visible in the generated docs (accomplished via `"dtype"_a = std::optional{float32}`)
* behave identical when `dtype=None` or no dtype is passed
This important when passing kw args down from a numpy function like:
```
def f(x, dtype=None):
mx.random.uniform(dtype=dtype)
# ...
```
NumPy functions behave like this.
It also fixes a minor bug in `tri`: #378
Closes #378
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Packaging for PyPI
Install build and twine:
pip install --user --upgrade build
pip install --user --upgrade twine
Generate the source distribution and wheel:
python -m build
Warning use a test server first
Test Upload
Upload to test server:
python -m twine upload --repository testpypi dist/*
Install from test server and check that it works:
python -m pip install --index-url https://test.pypi.org/simple/ --no-deps mlx
Upload
python -m twine upload dist/*