%PDF- %PDF-
Direktori : /opt/cloudlinux/venv/lib/python3.11/site-packages/tomlkit-0.11.8.dist-info/ |
Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/tomlkit-0.11.8.dist-info/METADATA |
Metadata-Version: 2.1 Name: tomlkit Version: 0.11.8 Summary: Style preserving TOML library Home-page: https://github.com/sdispater/tomlkit License: MIT Author: Sébastien Eustace Author-email: sebastien@eustace.io Requires-Python: >=3.7 Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Project-URL: Repository, https://github.com/sdispater/tomlkit Description-Content-Type: text/markdown [github_release]: https://img.shields.io/github/release/sdispater/tomlkit.svg?logo=github&logoColor=white [pypi_version]: https://img.shields.io/pypi/v/tomlkit.svg?logo=python&logoColor=white [python_versions]: https://img.shields.io/pypi/pyversions/tomlkit.svg?logo=python&logoColor=white [github_license]: https://img.shields.io/github/license/sdispater/tomlkit.svg?logo=github&logoColor=white [github_action]: https://github.com/sdispater/tomlkit/actions/workflows/tests.yml/badge.svg [![GitHub Release][github_release]](https://github.com/sdispater/tomlkit/releases/) [![PyPI Version][pypi_version]](https://pypi.org/project/tomlkit/) [![Python Versions][python_versions]](https://pypi.org/project/tomlkit/) [![License][github_license]](https://github.com/sdispater/tomlkit/blob/master/LICENSE) <br> [![Tests][github_action]](https://github.com/sdispater/tomlkit/actions/workflows/tests.yml) # TOML Kit - Style-preserving TOML library for Python TOML Kit is a **1.0.0-compliant** [TOML](https://toml.io/) library. It includes a parser that preserves all comments, indentations, whitespace and internal element ordering, and makes them accessible and editable via an intuitive API. You can also create new TOML documents from scratch using the provided helpers. Part of the implementation has been adapted, improved and fixed from [Molten](https://github.com/LeopoldArkham/Molten). ## Usage See the [documentation](https://github.com/sdispater/tomlkit/blob/master/docs/quickstart.rst) for more information. ## Installation If you are using [Poetry](https://poetry.eustace.io), add `tomlkit` to your `pyproject.toml` file by using: ```bash poetry add tomlkit ``` If not, you can use `pip`: ```bash pip install tomlkit ``` ## Running tests Please clone the repo with submodules with the following command `git clone --recurse-submodules https://github.com/sdispater/tomlkit.git`. We need the submodule - `toml-test` for running the tests. You can run the tests with `poetry run pytest -q tests`