Type stubs for SciPy
Project description
scipy-stubs
Type stubs for SciPy.
[!NOTE] This project is in the alpha stage, so some annotations are missing, and some might be (slightly) incorrect. But either way, it's no problem to
scipy-stubs
at the moment: Type-checkers will (already) understandscipy
a lot better withscipy-stubs
, than without it.
Installation
The scipy-stubs
package is available as on PyPI:
pip install scipy-stubs
Version Compatibility
Type-checkers
For validation and testing, scipy-stubs
primarily uses
basedmypy
(a mypy
fork) and
basedpyright
(a pyright
fork).
Because they are in generally stricter than mypy
and pyright
, they should be
compatible as well.
If you find that this is not the case, then don't hesitate to open an issue.
Required dependencies
The versioning scheme of scipy-stubs
includes the compatible scipy
version.
Later versions might work too, but in case of API-changes, the stubs could be outdated.
Apart from scipy
's own dependencies (e.g. numpy
), the only other
required dependency is optype
.
The exact version requirements are specified in the pyproject.toml
.
Development Progress
Package or module | Stubs status |
---|---|
scipy.__init__ |
3: ready |
scipy._lib |
2: partial |
scipy.cluster.vq |
4: done |
scipy.cluster.hierarchy |
4: done |
scipy.constants |
4: done |
scipy.datasets |
4: done |
scipy.fft |
2: partial |
scipy.fftpack |
2: partial |
scipy.integrate |
4: done |
scipy.interpolate |
2: partial |
scipy.io |
2: partial |
scipy.io.arff |
2: partial |
scipy.io.matlab |
2: partial |
scipy.linalg |
4: done |
scipy.misc |
4: done |
scipy.ndimage |
2: partial |
scipy.odr |
1: skeleton |
scipy.optimize |
2: partial |
scipy.signal |
2: partial |
scipy.signal.windows |
1: skeleton |
scipy.sparse |
2: partial |
scipy.sparse.csgraph |
2: partial |
scipy.sparse.linalg |
2: partial |
scipy.spatial |
2: partial |
scipy.spatial.distance |
3: ready |
scipy.special |
4: done |
scipy.special.cython_special |
4: done |
scipy.stats |
2: partial |
scipy.stats.contingency |
1: skeleton |
scipy.stats.distributions |
4: done |
scipy.stats.mstats |
1: skeleton |
scipy.stats.qmc |
2: partial |
scipy.stats.sampling |
1: skeleton |
scipy.version |
4: done |
Status labels:
- 0: missing (failed stubgen)
- 1: skeleton (mostly succesful stubgen)
- 2: partial (incomplete/broad annotations)
- 3: ready (complete & valid annotations, untested)
- 4: done (complete, valid, tested, and production-ready)
Project details
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