semvec/pypi-packages huggingface dataset:
tomlkit 0.14.0
Style preserving TOML library
License: MIT
Requires Python: >=3.9

[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://tomlkit.readthedocs.io/) 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:
```bash
git clone --recurse-submodules https://github.com/python-poetry/tomlkit.git
```
The `toml-test` submodule is required for running the tests.

You can then run the tests with
```bash
poetry run pytest -q tests
```
Bitliker-libs 2.5.2
Bitliker 个人集合工具类
License: MIT
Requires Python: >=3.10
Keywords: Bitliker Tools

# 个人基础公共组件

个人基础公共组件，含日志管理等无业务相关的工具类

## Features

### 日志管理 `logs`

### file 拓展 `file`

### music 拓展 `music`