scipy-stubs


Namescipy-stubs JSON
Version 1.14.1.5 PyPI version JSON
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home_pageNone
SummaryPrecise type-hints for all of SciPy
upload_time2024-12-03 17:40:56
maintainerNone
docs_urlNone
authorNone
requires_python>=3.10
licenseBSD-3-Clause
keywords pep484 scipy typing
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <h1 align="center">scipy-stubs</h1>

<p align="center">
    Precise type hints for <i>all</i> of <a href="https://github.com/scipy/scipy">SciPy</a>.
</p>

<p align="center">
    <a href="https://pypi.org/project/scipy-stubs/">
        <img
            alt="scipy-stubs - PyPI"
            src="https://img.shields.io/pypi/v/scipy-stubs?style=flat&color=olive"
        />
    </a>
    <a href="https://anaconda.org/conda-forge/scipy-stubs">
        <img
            alt="scipy-stubs - conda-forge"
            src="https://anaconda.org/conda-forge/scipy-stubs/badges/version.svg"
        />
    </a>
    <a href="https://github.com/jorenham/scipy-stubs">
        <img
            alt="scipy-stubs - Python Versions"
            src="https://img.shields.io/pypi/pyversions/scipy-stubs?style=flat"
        />
    </a>
    <a href="https://github.com/jorenham/scipy-stubs">
        <img
            alt="scipy-stubs - license"
            src="https://img.shields.io/github/license/jorenham/scipy-stubs?style=flat"
        />
    </a>
</p>
<p align="center">
    <a href="https://github.com/jorenham/scipy-stubs/actions?query=workflow%3ACI">
        <img
            alt="scipy-stubs - CI"
            src="https://github.com/jorenham/scipy-stubs/workflows/CI/badge.svg"
        />
    </a>
    <a href="https://github.com/pre-commit/pre-commit">
        <img
            alt="scipy-stubs - pre-commit"
            src="https://img.shields.io/badge/pre--commit-enabled-teal?logo=pre-commit"
        />
    </a>
    <a href="https://github.com/KotlinIsland/basedmypy">
        <img
            alt="scipy-stubs - basedmypy"
            src="https://img.shields.io/badge/basedmypy-checked-fd9002"
        />
    </a>
    <a href="https://detachhead.github.io/basedpyright">
        <img
            alt="scipy-stubs - basedpyright"
            src="https://img.shields.io/badge/basedpyright-checked-42b983"
        />
    </a>
    <a href="https://github.com/astral-sh/ruff">
        <img
            alt="scipy-stubs - ruff"
            src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json"
        />
    </a>
</p>

______________________________________________________________________

## Highlights

- Works out-of-the-box
  - all that's needed is to [install `scipy-stubs`](#installation)
  - does not require a `mypy` plugin or other configuration
  - available on [PyPI](https://pypi.org/project/scipy-stubs/) and [conda-forge](https://anaconda.org/conda-forge/scipy-stubs)
- Improves IDE suggestions and autocompletion
  - ... even if you don't use static typing in your code
  - no additional plugins required
- 0% runtime overhead
  - not even a single import is required
- 100% coverage of the [public SciPy API](https://docs.scipy.org/doc/scipy-1.14.1/reference/index.html)
  - also covers most of the private API
- Precise type-hinting of dtypes and [shape-types](https://github.com/numpy/numpy/issues/16544)
  - works with all "array-likes" and "dtype-likes"
  - many of the functions that return an array are *shape-typed*
  - shape-typing is optional: all functions still accept arrays with unknown shape-type
- Type-checker agnostic
  - works with at least [`mypy`](https://github.com/KotlinIsland/basedmypy),
    [`pyright`](https://github.com/DetachHead/basedpyright)/pylance and [`ruff`](https://github.com/astral-sh/ruff)
  - ... even in the strict mode
  - compatible with the [Python Typing Spec](https://typing.readthedocs.io/en/latest/spec/index.html)
- [SPEC 0](https://scientific-python.org/specs/spec-0000/) compliant
  - Supports Python ≥ 3.10
  - Supports NumPy ≥ 1.24

## Installation

<table>

<tr>
    <th width="500px">PyPI</th>
    <th width="500px">Conda</th>
</tr>

<tr>
<td>

```shell
pip install scipy-stubs
```

</td>
<td>

```shell
conda install conda-forge::scipy-stubs
```

</td>
</tr>

</table>

## Supported static type-checkers

1. [`basedpyright`](https://github.com/DetachHead/basedpyright) (recommended)
1. [`basedmypy`](https://github.com/KotlinIsland/basedmypy)
1. [`pyright`](https://pyright.readthedocs.io/en/latest/index.html)
1. [`mypy`](https://mypy.readthedocs.io/en/stable/index.html) (not recommended, see [erictraut/mypy_issues](https://github.com/erictraut/mypy_issues))

For validation and testing, `scipy-stubs` primarily uses [`basedmypy`](https://github.com/KotlinIsland/basedmypy) (a `mypy` fork)
and [`basedpyright`](https://github.com/DetachHead/basedpyright) (a `pyright` fork).
They are in generally stricter than `mypy` and `pyright`, so you can assume compatibility with `mypy` and `pyright` as well.
But if you find that this isn't the case, then don't hesitate to open an issue or submit a pull request.

## Versioning and requirements

The versioning scheme of `scipy-stubs` includes the compatible `scipy` version as `{scipy_version}.{stubs_version}`.
Even though `scipy-stubs` doesn't enforce an upper bound on the `scipy` version, later `scipy` versions aren't guaranteed to be
fully compatible.

The supported range of `numpy` versions are specified in [`SPEC 0`](https://scientific-python.org/specs/spec-0000/), which
`scipy-stubs` aims to follow as close as feasible.

Currently, `scipy-stubs` has one required dependency: [`optype`](https://github.com/jorenham/optype).
This is essential for `scipy-stubs` to work properly, as it relies heavily on it for annotating (shaped) array-likes,
scalar-likes, shape-typing in general, and much more.
At the moment, `scipy-stubs` requires the latest version `optype`.

The exact version requirements are specified in the [`pyproject.toml`](pyproject.toml).

## `scipy` coverage

The entire public API of `scipy` is **fully annotated** and **verifiably valid**.
For the most part, this can also be said about `scipy`'s private API and other internal machinery.

However, a small portion uses `Untyped` (an alias of `Any`) as "placeholder annotations".
In those cases static type-checkers won't do any type-checking, and won't bother you with errors or warnings.

The following table shows the (subjective) proportion of `scipy-stubs` that is(n't) annotated with `Untyped`, ranging
from 🌑 (100% `Untyped`) to 🌕 (0% `Untyped`).

| `scipy._`     | `ruff` & `flake8-pyi` | `stubtest` | `basedmypy` | `basedpyright` | phase |
| :------------ | :-------------------: | :--------: | :---------: | :------------: | :---: |
| `cluster`     |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `constants`   |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌝   |
| `datasets`    |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌝   |
| `fft`         |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `fftpack`     |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `integrate`   |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `interpolate` |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌓   |
| `io`          |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `linalg`      |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| ~`misc`~      |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `ndimage`     |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `odr`         |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `optimize`    |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `signal`      |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌔   |
| `sparse`      |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌒   |
| `spatial`     |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `special`     |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| `stats`       |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |
| *`_lib`*      |          ✔️           |     ✔️     |     ✔️      |       ✔️       |  🌕   |

Currently, only `interpolate`, `signal`, and `sparse` contain `Untyped` annotations.

## See also

- [scipy/scipy#21614](https://github.com/scipy/scipy/issues/21614): On why `scipy-stubs` is a separate package, and not part of
  `scipy` (yet).
- [microsoft/python-type-stubs#321](https://github.com/microsoft/python-type-stubs/pull/321): The removal of Microsoft's
  `scipy-stubs` — that used to be bundled with Pylance — in favor of `scipy-stubs`.
- [`optype`](https://github.com/jorenham/optype): The fundamental typing package that made `scipy-stubs` possible.
- [`basedpyright`](https://github.com/detachhead/basedpyright): The recommended type-checker to use with `scipy-stubs`.
- [`basedmypy`](https://github.com/KotlinIsland/basedmypy): A [less-broken](https://github.com/erictraut/mypy_issues) `mypy` fork,
  with a bunch of cool extra features.

            

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    "description": "<h1 align=\"center\">scipy-stubs</h1>\n\n<p align=\"center\">\n    Precise type hints for <i>all</i> of <a href=\"https://github.com/scipy/scipy\">SciPy</a>.\n</p>\n\n<p align=\"center\">\n    <a href=\"https://pypi.org/project/scipy-stubs/\">\n        <img\n            alt=\"scipy-stubs - PyPI\"\n            src=\"https://img.shields.io/pypi/v/scipy-stubs?style=flat&color=olive\"\n        />\n    </a>\n    <a href=\"https://anaconda.org/conda-forge/scipy-stubs\">\n        <img\n            alt=\"scipy-stubs - conda-forge\"\n            src=\"https://anaconda.org/conda-forge/scipy-stubs/badges/version.svg\"\n        />\n    </a>\n    <a href=\"https://github.com/jorenham/scipy-stubs\">\n        <img\n            alt=\"scipy-stubs - Python Versions\"\n            src=\"https://img.shields.io/pypi/pyversions/scipy-stubs?style=flat\"\n        />\n    </a>\n    <a href=\"https://github.com/jorenham/scipy-stubs\">\n        <img\n            alt=\"scipy-stubs - license\"\n            src=\"https://img.shields.io/github/license/jorenham/scipy-stubs?style=flat\"\n        />\n    </a>\n</p>\n<p align=\"center\">\n    <a href=\"https://github.com/jorenham/scipy-stubs/actions?query=workflow%3ACI\">\n        <img\n            alt=\"scipy-stubs - CI\"\n            src=\"https://github.com/jorenham/scipy-stubs/workflows/CI/badge.svg\"\n        />\n    </a>\n    <a href=\"https://github.com/pre-commit/pre-commit\">\n        <img\n            alt=\"scipy-stubs - pre-commit\"\n            src=\"https://img.shields.io/badge/pre--commit-enabled-teal?logo=pre-commit\"\n        />\n    </a>\n    <a href=\"https://github.com/KotlinIsland/basedmypy\">\n        <img\n            alt=\"scipy-stubs - basedmypy\"\n            src=\"https://img.shields.io/badge/basedmypy-checked-fd9002\"\n        />\n    </a>\n    <a href=\"https://detachhead.github.io/basedpyright\">\n        <img\n            alt=\"scipy-stubs - basedpyright\"\n            src=\"https://img.shields.io/badge/basedpyright-checked-42b983\"\n        />\n    </a>\n    <a href=\"https://github.com/astral-sh/ruff\">\n        <img\n            alt=\"scipy-stubs - ruff\"\n            src=\"https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json\"\n        />\n    </a>\n</p>\n\n______________________________________________________________________\n\n## Highlights\n\n- Works out-of-the-box\n  - all that's needed is to [install `scipy-stubs`](#installation)\n  - does not require a `mypy` plugin or other configuration\n  - available on [PyPI](https://pypi.org/project/scipy-stubs/) and [conda-forge](https://anaconda.org/conda-forge/scipy-stubs)\n- Improves IDE suggestions and autocompletion\n  - ... even if you don't use static typing in your code\n  - no additional plugins required\n- 0% runtime overhead\n  - not even a single import is required\n- 100% coverage of the [public SciPy API](https://docs.scipy.org/doc/scipy-1.14.1/reference/index.html)\n  - also covers most of the private API\n- Precise type-hinting of dtypes and [shape-types](https://github.com/numpy/numpy/issues/16544)\n  - works with all \"array-likes\" and \"dtype-likes\"\n  - many of the functions that return an array are *shape-typed*\n  - shape-typing is optional: all functions still accept arrays with unknown shape-type\n- Type-checker agnostic\n  - works with at least [`mypy`](https://github.com/KotlinIsland/basedmypy),\n    [`pyright`](https://github.com/DetachHead/basedpyright)/pylance and [`ruff`](https://github.com/astral-sh/ruff)\n  - ... even in the strict mode\n  - compatible with the [Python Typing Spec](https://typing.readthedocs.io/en/latest/spec/index.html)\n- [SPEC 0](https://scientific-python.org/specs/spec-0000/) compliant\n  - Supports Python \u2265 3.10\n  - Supports NumPy \u2265 1.24\n\n## Installation\n\n<table>\n\n<tr>\n    <th width=\"500px\">PyPI</th>\n    <th width=\"500px\">Conda</th>\n</tr>\n\n<tr>\n<td>\n\n```shell\npip install scipy-stubs\n```\n\n</td>\n<td>\n\n```shell\nconda install conda-forge::scipy-stubs\n```\n\n</td>\n</tr>\n\n</table>\n\n## Supported static type-checkers\n\n1. [`basedpyright`](https://github.com/DetachHead/basedpyright) (recommended)\n1. [`basedmypy`](https://github.com/KotlinIsland/basedmypy)\n1. [`pyright`](https://pyright.readthedocs.io/en/latest/index.html)\n1. [`mypy`](https://mypy.readthedocs.io/en/stable/index.html) (not recommended, see [erictraut/mypy_issues](https://github.com/erictraut/mypy_issues))\n\nFor validation and testing, `scipy-stubs` primarily uses [`basedmypy`](https://github.com/KotlinIsland/basedmypy) (a `mypy` fork)\nand [`basedpyright`](https://github.com/DetachHead/basedpyright) (a `pyright` fork).\nThey are in generally stricter than `mypy` and `pyright`, so you can assume compatibility with `mypy` and `pyright` as well.\nBut if you find that this isn't the case, then don't hesitate to open an issue or submit a pull request.\n\n## Versioning and requirements\n\nThe versioning scheme of `scipy-stubs` includes the compatible `scipy` version as `{scipy_version}.{stubs_version}`.\nEven though `scipy-stubs` doesn't enforce an upper bound on the `scipy` version, later `scipy` versions aren't guaranteed to be\nfully compatible.\n\nThe supported range of `numpy` versions are specified in [`SPEC 0`](https://scientific-python.org/specs/spec-0000/), which\n`scipy-stubs` aims to follow as close as feasible.\n\nCurrently, `scipy-stubs` has one required dependency: [`optype`](https://github.com/jorenham/optype).\nThis is essential for `scipy-stubs` to work properly, as it relies heavily on it for annotating (shaped) array-likes,\nscalar-likes, shape-typing in general, and much more.\nAt the moment, `scipy-stubs` requires the latest version `optype`.\n\nThe exact version requirements are specified in the [`pyproject.toml`](pyproject.toml).\n\n## `scipy` coverage\n\nThe entire public API of `scipy` is **fully annotated** and **verifiably valid**.\nFor the most part, this can also be said about `scipy`'s private API and other internal machinery.\n\nHowever, a small portion uses `Untyped` (an alias of `Any`) as \"placeholder annotations\".\nIn those cases static type-checkers won't do any type-checking, and won't bother you with errors or warnings.\n\nThe following table shows the (subjective) proportion of `scipy-stubs` that is(n't) annotated with `Untyped`, ranging\nfrom \ud83c\udf11 (100% `Untyped`) to \ud83c\udf15 (0% `Untyped`).\n\n| `scipy._`     | `ruff` & `flake8-pyi` | `stubtest` | `basedmypy` | `basedpyright` | phase |\n| :------------ | :-------------------: | :--------: | :---------: | :------------: | :---: |\n| `cluster`     |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `constants`   |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf1d   |\n| `datasets`    |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf1d   |\n| `fft`         |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `fftpack`     |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `integrate`   |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `interpolate` |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf13   |\n| `io`          |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `linalg`      |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| ~`misc`~      |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `ndimage`     |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `odr`         |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `optimize`    |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `signal`      |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf14   |\n| `sparse`      |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf12   |\n| `spatial`     |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `special`     |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| `stats`       |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n| *`_lib`*      |          \u2714\ufe0f           |     \u2714\ufe0f     |     \u2714\ufe0f      |       \u2714\ufe0f       |  \ud83c\udf15   |\n\nCurrently, only `interpolate`, `signal`, and `sparse` contain `Untyped` annotations.\n\n## See also\n\n- [scipy/scipy#21614](https://github.com/scipy/scipy/issues/21614): On why `scipy-stubs` is a separate package, and not part of\n  `scipy` (yet).\n- [microsoft/python-type-stubs#321](https://github.com/microsoft/python-type-stubs/pull/321): The removal of Microsoft's\n  `scipy-stubs` \u2014 that used to be bundled with Pylance \u2014 in favor of `scipy-stubs`.\n- [`optype`](https://github.com/jorenham/optype): The fundamental typing package that made `scipy-stubs` possible.\n- [`basedpyright`](https://github.com/detachhead/basedpyright): The recommended type-checker to use with `scipy-stubs`.\n- [`basedmypy`](https://github.com/KotlinIsland/basedmypy): A [less-broken](https://github.com/erictraut/mypy_issues) `mypy` fork,\n  with a bunch of cool extra features.\n",
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