module-utilities


Namemodule-utilities JSON
Version 0.10.1 PyPI version JSON
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home_pageNone
SummaryCollection of utilities to aid working with python modules.
upload_time2025-01-23 15:41:03
maintainerNone
docs_urlNone
authorNone
requires_python<3.14,>=3.8
licenseNIST-PD
keywords module-utilities
VCS
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requirements No requirements were recorded.
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coveralls test coverage No coveralls.
            <!-- markdownlint-disable MD041 -->

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[license-link]: https://github.com/usnistgov/module-utilities/blob/main/LICENSE

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[cachetools]: https://github.com/tkem/cachetools/

# `module-utilities`

A Python package for creating python modules.

## Overview

I was using the same code snippets over and over, so decided to put them in one
place.

## Features

- `cached`: A module to cache class attributes and methods. Right now, this uses
  a standard python dictionary for storage. Future versions will hopefully
  integrate with something like [cachetools].

- `docfiller`: A module to share documentation. This is adapted from the
  [pandas `doc` decorator](https://github.com/pandas-dev/pandas/blob/main/pandas/util/_decorators.py).
  There are some convenience functions and classes for sharing documentation.

- `docinhert`: An interface to [docstring-inheritance] module. This can be
  combined with `docfiller` to make creating related function/class
  documentation easy.

[docstring-inheritance]: https://github.com/AntoineD/docstring-inheritance

## Status

This package is actively used by the author. Please feel free to create a pull
request for wanted features and suggestions!

## Example usage

Simple example of using `cached` module.

```pycon
>>> from module_utilities import cached
>>>
>>> class Example:
...     @cached.prop
...     def aprop(self):
...         print("setting prop")
...         return ["aprop"]
...     @cached.meth
...     def ameth(self, x=1):
...         print("setting ameth")
...         return [x]
...     @cached.clear
...     def method_that_clears(self):
...         pass
...
>>> x = Example()
>>> x.aprop
setting prop
['aprop']
>>> x.aprop
['aprop']

>>> x.ameth(1)
setting ameth
[1]
>>> x.ameth(x=1)
[1]

>>> x.method_that_clears()

>>> x.aprop
setting prop
['aprop']
>>> x.ameth(1)
setting ameth
[1]

```

Simple example of using `DocFiller`.

```pycon
>>> from module_utilities.docfiller import DocFiller, indent_docstring
>>> d = DocFiller.from_docstring(
...     """
...     Parameters
...     ----------
...     x : int
...         x param
...     y : int
...         y param
...     z0 | z : int
...         z int param
...     z1 | z : float
...         z float param
...
...     Returns
...     -------
...     output0 | output : int
...         Integer output.
...     output1 | output : float
...         Float output
...     """,
...     combine_keys="parameters",
... )
>>> @d.decorate
... def func(x, y, z):
...     """
...     Parameters
...     ----------
...     {x}
...     {y}
...     {z0}
...
...     Returns
...     --------
...     {returns.output0}
...     """
...     return x + y + z
...
>>> print(indent_docstring(func))
+  Parameters
+  ----------
+  x : int
+      x param
+  y : int
+      y param
+  z : int
+      z int param
<BLANKLINE>
+  Returns
+  --------
+  output : int
+      Integer output.

# Note that for python version <= 3.8 that method chaining
# in decorators doesn't work, so have to do the following.
# For newer python, you can inline this.
>>> dd = d.assign_keys(z="z0", out="returns.output0")
>>> @dd.decorate
... def func1(x, y, z):
...     """
...     Parameters
...     ----------
...     {x}
...     {y}
...     {z}
...     Returns
...     -------
...     {out}
...     """
...     pass
...
>>> print(indent_docstring(func1))
+  Parameters
+  ----------
+  x : int
+      x param
+  y : int
+      y param
+  z : int
+      z int param
+  Returns
+  -------
+  output : int
+      Integer output.

>>> dd = d.assign_keys(z="z1", out="returns.output1")
>>> @dd(func1)
... def func2(x, y, z):
...     pass
...

>>> print(indent_docstring(func2))
+  Parameters
+  ----------
+  x : int
+      x param
+  y : int
+      y param
+  z : float
+      z float param
+  Returns
+  -------
+  output : float
+      Float output


```

<!-- end-docs -->

## Quick start

Use one of the following

```bash
pip install module-utilities
```

or

```bash
conda install -c conda-forge module-utilities
```

Optionally, you can install [docstring-inheritance] to use the `docinherit`
module:

```bash
pip install docstring-inheritance
# or
conda install -c conda-forge docstring-inheritance
```

## Documentation

See the [documentation][docs-link] for a look at `module-utilities` in action.

## License

This is free software. See [LICENSE][license-link].

## Related work

`module-utilities` is used in the following packages

- [cmomy]
- [analphipy]
- [tmmc-lnpy]
- [thermoextrap]

[cmomy]: https://github.com/usnistgov/cmomy
[analphipy]: https://github.com/usnistgov/analphipy
[tmmc-lnpy]: https://github.com/usnistgov/tmmc-lnpy
[thermoextrap]: https://github.com/usnistgov/thermoextrap

## Contact

The author can be reached at <wpk@nist.gov>.

## Credits

This package was created using
[Cookiecutter](https://github.com/audreyr/cookiecutter) with the
[usnistgov/cookiecutter-nist-python](https://github.com/usnistgov/cookiecutter-nist-python)
template.
<!-- markdownlint-disable MD024 -->
<!-- markdownlint-disable MD013 -->
<!-- prettier-ignore-start -->
# Changelog

Changelog for `module-utilities`

## Unreleased

[changelog.d]: https://github.com/usnistgov/module-utilities/tree/main/changelog.d

See the fragment files in [changelog.d]

<!-- prettier-ignore-end -->

<!-- markdownlint-enable MD013 -->

<!-- scriv-insert-here -->

## v0.9.0 — 2023-08-22

### Changed

- Revert to TypeVar `S` being invariant. This leads to some issues with
  `cached.prop` decorator. However, the use of covariant `TypeVar` was a hack.
  Instead, it is better in these cases to decorate with `@property` on top of
  `@cached.meth`. mypy/pyright deal with `property` in a special way.
- To better work with the above, single parameter methods are caached using only
  the method name, and no parameters.

## v0.8.0 — 2023-08-21

### Changed

- Moved submodule `_typing` to `typing` (i.e., publicly accessible).
- Made TypeVar `S` covariant. This fixes issues with subclassing overrides.

## v0.7.0 — 2023-08-15

### Changed

- Simplified cached.prop by using (new) CachedProperty class.

## v0.6.0 — 2023-08-01

### Added

- Now include module `docinhert` to interface with
  [docstring-inheritance](https://github.com/AntoineD/docstring-inheritance)
- Fully support mypy and pyright type checking.

## v0.5.0 — 2023-07-10

### Added

See the fragment files in [changelog.d]

<!-- prettier-ignore-end -->

- Add `_prepend` option to docfiller. Default behavior is now to append current
docstring to templates.
<!-- markdownlint-enable MD013 -->

## v0.4.0 — 2023-06-14

### Added

- Package now available on conda-forge

### Changed

- Properly vendor numpydocs and include pointer to license

## v0.3.0 — 2023-05-03

### Added

- Added `DocFiller.assign_param` to more easily add a new parameter.

## v0.2.0 — 2023-05-02

### Added

- Added method `assign_keys` to `DocFiller`.

## v0.1.0 — 2023-05-01

### Added

- Add typing support. Passing mypy, pyright, pytype.
This software was developed by employees of the National Institute of Standards
and Technology (NIST), an agency of the Federal Government. Pursuant to title 17
United States Code Section 105, works of NIST employees are not subject to
copyright protection in the United States and are considered to be in the public
domain. Permission to freely use, copy, modify, and distribute this software and
its documentation without fee is hereby granted, provided that this notice and
disclaimer of warranty appears in all copies.

THE SOFTWARE IS PROVIDED 'AS IS' WITHOUT ANY WARRANTY OF ANY KIND, EITHER
EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY
THAT THE SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND FREEDOM FROM
INFRINGEMENT, AND ANY WARRANTY THAT THE DOCUMENTATION WILL CONFORM TO THE
SOFTWARE, OR ANY WARRANTY THAT THE SOFTWARE WILL BE ERROR FREE. IN NO EVENT
SHALL NIST BE LIABLE FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO, DIRECT,
INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES, ARISING OUT OF, RESULTING FROM, OR
IN ANY WAY CONNECTED WITH THIS SOFTWARE, WHETHER OR NOT BASED UPON WARRANTY,
CONTRACT, TORT, OR OTHERWISE, WHETHER OR NOT INJURY WAS SUSTAINED BY PERSONS OR
PROPERTY OR OTHERWISE, AND WHETHER OR NOT LOSS WAS SUSTAINED FROM, OR AROSE OUT
OF THE RESULTS OF, OR USE OF, THE SOFTWARE OR SERVICES PROVIDED HEREUNDER.

Distributions of NIST software should also include copyright and licensing
statements of any third-party software that are legally bundled with the code in
compliance with the conditions of those licenses.

---

module-utilities vendors a copy of docscrape.py from numpydoc.
The license is BSD and include at "module_utilities/vendored/LICENSE.txt".

            

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Right now, this uses\n  a standard python dictionary for storage. Future versions will hopefully\n  integrate with something like [cachetools].\n\n- `docfiller`: A module to share documentation. This is adapted from the\n  [pandas `doc` decorator](https://github.com/pandas-dev/pandas/blob/main/pandas/util/_decorators.py).\n  There are some convenience functions and classes for sharing documentation.\n\n- `docinhert`: An interface to [docstring-inheritance] module. This can be\n  combined with `docfiller` to make creating related function/class\n  documentation easy.\n\n[docstring-inheritance]: https://github.com/AntoineD/docstring-inheritance\n\n## Status\n\nThis package is actively used by the author. Please feel free to create a pull\nrequest for wanted features and suggestions!\n\n## Example usage\n\nSimple example of using `cached` module.\n\n```pycon\n>>> from module_utilities import cached\n>>>\n>>> class Example:\n...     @cached.prop\n...     def aprop(self):\n...         print(\"setting prop\")\n...         return [\"aprop\"]\n...     @cached.meth\n...     def ameth(self, x=1):\n...         print(\"setting ameth\")\n...         return [x]\n...     @cached.clear\n...     def method_that_clears(self):\n...         pass\n...\n>>> x = Example()\n>>> x.aprop\nsetting prop\n['aprop']\n>>> x.aprop\n['aprop']\n\n>>> x.ameth(1)\nsetting ameth\n[1]\n>>> x.ameth(x=1)\n[1]\n\n>>> x.method_that_clears()\n\n>>> x.aprop\nsetting prop\n['aprop']\n>>> x.ameth(1)\nsetting ameth\n[1]\n\n```\n\nSimple example of using `DocFiller`.\n\n```pycon\n>>> from module_utilities.docfiller import DocFiller, indent_docstring\n>>> d = DocFiller.from_docstring(\n...     \"\"\"\n...     Parameters\n...     ----------\n...     x : int\n...         x param\n...     y : int\n...         y param\n...     z0 | z : int\n...         z int param\n...     z1 | z : float\n...         z float param\n...\n...     Returns\n...     -------\n...     output0 | output : int\n...         Integer output.\n...     output1 | output : float\n...         Float output\n...     \"\"\",\n...     combine_keys=\"parameters\",\n... )\n>>> @d.decorate\n... def func(x, y, z):\n...     \"\"\"\n...     Parameters\n...     ----------\n...     {x}\n...     {y}\n...     {z0}\n...\n...     Returns\n...     --------\n...     {returns.output0}\n...     \"\"\"\n...     return x + y + z\n...\n>>> print(indent_docstring(func))\n+  Parameters\n+  ----------\n+  x : int\n+      x param\n+  y : int\n+      y param\n+  z : int\n+      z int param\n<BLANKLINE>\n+  Returns\n+  --------\n+  output : int\n+      Integer output.\n\n# Note that for python version <= 3.8 that method chaining\n# in decorators doesn't work, so have to do the following.\n# For newer python, you can inline this.\n>>> dd = d.assign_keys(z=\"z0\", out=\"returns.output0\")\n>>> @dd.decorate\n... def func1(x, y, z):\n...     \"\"\"\n...     Parameters\n...     ----------\n...     {x}\n...     {y}\n...     {z}\n...     Returns\n...     -------\n...     {out}\n...     \"\"\"\n...     pass\n...\n>>> print(indent_docstring(func1))\n+  Parameters\n+  ----------\n+  x : int\n+      x param\n+  y : int\n+      y param\n+  z : int\n+      z int param\n+  Returns\n+  -------\n+  output : int\n+      Integer output.\n\n>>> dd = d.assign_keys(z=\"z1\", out=\"returns.output1\")\n>>> @dd(func1)\n... def func2(x, y, z):\n...     pass\n...\n\n>>> print(indent_docstring(func2))\n+  Parameters\n+  ----------\n+  x : int\n+      x param\n+  y : int\n+      y param\n+  z : float\n+      z float param\n+  Returns\n+  -------\n+  output : float\n+      Float output\n\n\n```\n\n<!-- end-docs -->\n\n## Quick start\n\nUse one of the following\n\n```bash\npip install module-utilities\n```\n\nor\n\n```bash\nconda install -c conda-forge module-utilities\n```\n\nOptionally, you can install [docstring-inheritance] to use the `docinherit`\nmodule:\n\n```bash\npip install docstring-inheritance\n# or\nconda install -c conda-forge docstring-inheritance\n```\n\n## Documentation\n\nSee the [documentation][docs-link] for a look at `module-utilities` in action.\n\n## License\n\nThis is free software. See [LICENSE][license-link].\n\n## Related work\n\n`module-utilities` is used in the following packages\n\n- [cmomy]\n- [analphipy]\n- [tmmc-lnpy]\n- [thermoextrap]\n\n[cmomy]: https://github.com/usnistgov/cmomy\n[analphipy]: https://github.com/usnistgov/analphipy\n[tmmc-lnpy]: https://github.com/usnistgov/tmmc-lnpy\n[thermoextrap]: https://github.com/usnistgov/thermoextrap\n\n## Contact\n\nThe author can be reached at <wpk@nist.gov>.\n\n## Credits\n\nThis package was created using\n[Cookiecutter](https://github.com/audreyr/cookiecutter) with the\n[usnistgov/cookiecutter-nist-python](https://github.com/usnistgov/cookiecutter-nist-python)\ntemplate.\n<!-- markdownlint-disable MD024 -->\n<!-- markdownlint-disable MD013 -->\n<!-- prettier-ignore-start -->\n# Changelog\n\nChangelog for `module-utilities`\n\n## Unreleased\n\n[changelog.d]: https://github.com/usnistgov/module-utilities/tree/main/changelog.d\n\nSee the fragment files in [changelog.d]\n\n<!-- prettier-ignore-end -->\n\n<!-- markdownlint-enable MD013 -->\n\n<!-- scriv-insert-here -->\n\n## v0.9.0 \u2014 2023-08-22\n\n### Changed\n\n- Revert to TypeVar `S` being invariant. This leads to some issues with\n  `cached.prop` decorator. However, the use of covariant `TypeVar` was a hack.\n  Instead, it is better in these cases to decorate with `@property` on top of\n  `@cached.meth`. mypy/pyright deal with `property` in a special way.\n- To better work with the above, single parameter methods are caached using only\n  the method name, and no parameters.\n\n## v0.8.0 \u2014 2023-08-21\n\n### Changed\n\n- Moved submodule `_typing` to `typing` (i.e., publicly accessible).\n- Made TypeVar `S` covariant. This fixes issues with subclassing overrides.\n\n## v0.7.0 \u2014 2023-08-15\n\n### Changed\n\n- Simplified cached.prop by using (new) CachedProperty class.\n\n## v0.6.0 \u2014 2023-08-01\n\n### Added\n\n- Now include module `docinhert` to interface with\n  [docstring-inheritance](https://github.com/AntoineD/docstring-inheritance)\n- Fully support mypy and pyright type checking.\n\n## v0.5.0 \u2014 2023-07-10\n\n### Added\n\nSee the fragment files in [changelog.d]\n\n<!-- prettier-ignore-end -->\n\n- Add `_prepend` option to docfiller. Default behavior is now to append current\ndocstring to templates.\n<!-- markdownlint-enable MD013 -->\n\n## v0.4.0 \u2014 2023-06-14\n\n### Added\n\n- Package now available on conda-forge\n\n### Changed\n\n- Properly vendor numpydocs and include pointer to license\n\n## v0.3.0 \u2014 2023-05-03\n\n### Added\n\n- Added `DocFiller.assign_param` to more easily add a new parameter.\n\n## v0.2.0 \u2014 2023-05-02\n\n### Added\n\n- Added method `assign_keys` to `DocFiller`.\n\n## v0.1.0 \u2014 2023-05-01\n\n### Added\n\n- Add typing support. Passing mypy, pyright, pytype.\nThis software was developed by employees of the National Institute of Standards\nand Technology (NIST), an agency of the Federal Government. Pursuant to title 17\nUnited States Code Section 105, works of NIST employees are not subject to\ncopyright protection in the United States and are considered to be in the public\ndomain. Permission to freely use, copy, modify, and distribute this software and\nits documentation without fee is hereby granted, provided that this notice and\ndisclaimer of warranty appears in all copies.\n\nTHE SOFTWARE IS PROVIDED 'AS IS' WITHOUT ANY WARRANTY OF ANY KIND, EITHER\nEXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY\nTHAT THE SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND FREEDOM FROM\nINFRINGEMENT, AND ANY WARRANTY THAT THE DOCUMENTATION WILL CONFORM TO THE\nSOFTWARE, OR ANY WARRANTY THAT THE SOFTWARE WILL BE ERROR FREE. IN NO EVENT\nSHALL NIST BE LIABLE FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO, DIRECT,\nINDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES, ARISING OUT OF, RESULTING FROM, OR\nIN ANY WAY CONNECTED WITH THIS SOFTWARE, WHETHER OR NOT BASED UPON WARRANTY,\nCONTRACT, TORT, OR OTHERWISE, WHETHER OR NOT INJURY WAS SUSTAINED BY PERSONS OR\nPROPERTY OR OTHERWISE, AND WHETHER OR NOT LOSS WAS SUSTAINED FROM, OR AROSE OUT\nOF THE RESULTS OF, OR USE OF, THE SOFTWARE OR SERVICES PROVIDED HEREUNDER.\n\nDistributions of NIST software should also include copyright and licensing\nstatements of any third-party software that are legally bundled with the code in\ncompliance with the conditions of those licenses.\n\n---\n\nmodule-utilities vendors a copy of docscrape.py from numpydoc.\nThe license is BSD and include at \"module_utilities/vendored/LICENSE.txt\".\n",
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