semvec/pypi-packages huggingface dataset:
nonebot-plugin-wen-xin 0.0.3
nonebot_plugin_wen_xin
Requires Python: >=3.9

# nonebot_plugin_wen_xin

✨ NoneBot 百度文心 ✨

<a href="./LICENSE">
    <img src="https://img.shields.io/github/license/Matrix-King-Studio/nonebot_plugin_wen_xin.svg" alt="license">
</a>
<a href="https://pypi.python.org/pypi/nonebot_plugin_wen_xin">
    <img src="https://img.shields.io/pypi/v/nonebot_plugin_wen_xin.svg" alt="pypi">
</a>
<img src="https://img.shields.io/badge/python-3.9+-blue.svg" alt="python">

## 📖 介绍

接入Stable Diffusion做AI文生图。

## 💿 安装

<details>
<summary>使用 nb-cli 安装</summary>
在 nonebot2 项目的根目录下打开命令行, 输入以下指令即可安装

    nb plugin install nonebot_plugin_wen_xin

</details>

<details>
<summary>使用包管理器安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令

<details>
<summary>pip</summary>

    pip install nonebot_plugin_wen_xin
</details>
<details>
<summary>conda</summary>

    conda install nonebot_plugin_wen_xin
</details>

打开 nonebot2 项目的 `bot.py` 文件, 在其中写入

    nonebot.load_plugin("nonebot_plugin_wen_xin")

</details>

<details>
<summary>从 github 安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 输入以下命令克隆此储存库

    git clone https://github.com/Matrix-King-Studio/nonebot_plugin_wen_xin.git

打开 nonebot2 项目的 `bot.py` 文件, 在其中写入

    nonebot.load_plugin("src.plugins.nonebot_plugin_wen_xin")

</details>

## ⚙️ 配置

在 nonebot2 项目的`.env`文件中添加下表中的必填配置

| 配置项 | 必填 | 默认值  |                                  说明                                  |
|:-----:|:----:|:----:|:--------------------------------------------------------------------:|
| cd_time | 否 | 100s |      CD时间         |
| manager_list | 否 |  无   | 不受冷却时间限制的管理员 |

## 🎉 使用

### 指令表

|    指令    |  权限   | 需要@ | 范围 |
|:--------:|:-----:|:----:|:----:|
|  /画画帮助   | 所有人 | 否 | 群聊 |
|  /画画 二次元，中国女孩，唯美，烟火，棕红色长发，金色眼睛，洛丽塔风格，精致面容，毛发细致，cg感，高清，8k，浪漫主义   |  所有人   | 否 | 群聊 |

### 效果图
pysequila 0.4.1
An SQL-based solution for large-scale genomic analysis

|version| |downloads| |version_sequila| |build| |python| |license| |coverage| |contributors| |last_commit|

.. |version| image:: https://badge.fury.io/py/pysequila.svg
    :target: https://badge.fury.io/py/pysequila

.. |version_sequila| image:: https://img.shields.io/maven-central/v/org.biodatageeks/sequila_2.12
    :alt: Maven Central

.. |build| image:: https://gitlab.com/biodatageeks/pysequila/badges/master/pipeline.svg
    :alt: status

.. |python| image:: https://img.shields.io/badge/python-3.8-blue.svg
    :alt: Python-3.8

.. |license| image:: https://img.shields.io/badge/license-Apache%202.0-blue.svg
    :alt: license

.. |coverage| image:: https://gitlab.com/biodatageeks/pysequila/badges/master/coverage.svg
    :alt: coverage

.. |contributors| image:: https://img.shields.io/github/contributors/biodatageeks/pysequila
    :alt: GitHub contributors

.. |last_commit| image:: https://img.shields.io/github/commit-activity/m/biodatageeks/pysequila
    :alt: GitHub commit activity

.. |downloads| image:: https://pepy.tech/badge/pysequila
    :alt: PyPI downloads


===========
 pysequila
===========

pysequila is a Python entrypoint to SeQuiLa, an ANSI-SQL compliant solution for efficient sequencing reads processing and genomic intervals querying built on top of Apache Spark. Range joins, depth of coverage and pileup computations are bread and butter for NGS analysis but the high volume of data make them execute very slowly or even failing to compute.


Requirements
============

* Python 3.7, 3.8, 3.9

Features
========

* custom data sources for bioinformatics file formats (BAM, CRAM, VCF)
* depth of coverage calculations 
* pileup calculations
* reads filtering
* efficient range joins
* other utility functions
* support for both SQL and Dataframe/Dataset API

Setup
=====

::

  $ python -m pip install --user pysequila
  or
  (venv)$ python -m pip install pysequila

Usage
=====

::

  $ python
  >>> from pysequila import SequilaSession
  >>> ss = SequilaSession \
    .builder \
    .config("spark.jars.packages", "org.biodatageeks:sequila_2.12:1.1.0") \
    .config("spark.driver.memory", "2g") \
    .getOrCreate()
  >>> ss.sql(
        f"""
        CREATE TABLE IF NOT EXISTS reads
        USING org.biodatageeks.sequila.datasources.BAM.BAMDataSource
        OPTIONS(path "/features/data/NA12878.multichrom.md.bam")
        """
  >>> ss.sql ("SELECT * FROM  coverage('reads', 'NA12878','/features/data/Homo_sapiens_assembly18_chr1_chrM.small.fasta")
  >>> # or using DataFrame/DataSet API
  >>> ss.coverage("/features/data/NA12878.multichrom.md.bam", "/features/data/Homo_sapiens_assembly18_chr1_chrM.small.fasta")

ChangeLog
=========

0.1.0 (2020-09-16)
------------------

* Initial release.
mdformat-openmmlab 0.0.4
An mdformat plugin for...
Requires Python: >=3.7
Keywords: mdformat,markdown,markdown-it

# mdformat-openmmlab

[![Build Status][ci-badge]][ci-link]
[![PyPI version][pypi-badge]][pypi-link]

An [mdformat](https://github.com/executablebooks/mdformat) plugin for OpenMMLab standard.

## How to use it

Add the follow section to `.pre-commit-config.yaml`:

```yaml
  - repo: https://github.com/executablebooks/mdformat
    # To be compatible with Python 3.6, specify the version here.
    rev: 0.7.9
    hooks:
      - id: mdformat
        args: ["--number", "--table-width", "200"]
        additional_dependencies:
          - mdformat-openmmlab
          - mdformat_frontmatter
          - linkify-it-py
```

The argument `--table-width` is used to limit the max width of tables.

If you want to avoid escaping some symbols, you can use `--disable-escape` and specify the symbols to skip.

For example, to avoid escaping backslash (`\`) and uri-enclosure (`<`).

```yaml
  - repo: https://github.com/executablebooks/mdformat
    # To be compatible with Python 3.6, specify the version here.
    rev: 0.7.9
    hooks:
      - id: mdformat
        args: ["--number", "--table-width", "200", "--disable-escape", "backslash", "--disable-escape", "uri-enclosure"]
        additional_dependencies:
          - "mdformat-openmmlab>=0.0.4"
          - mdformat_frontmatter
          - linkify-it-py
```

Here are available options:

- `backslash` (`\`)
- `asterisk` (`*`)
- `underscore` (`_`)
- `link-enclosure` (`[` and `]`)
- `uri-enclosure` (`<`)

ATTENTION: This plugin already include all functionalities of `mdformat-gfm` and `mdformat-tables`, and is
not compatible with them, please don't install them again.

## Development

This package utilises [flit](https://flit.readthedocs.io) as the build engine, and [tox](https://tox.readthedocs.io) for test automation.

To install these development dependencies:

```bash
pip install tox
```

To run the tests:

```bash
tox
```

and with test coverage:

```bash
tox -e py37-cov
```

The easiest way to write tests, is to edit tests/fixtures.md

To run the code formatting and style checks:

```bash
tox -e py37-pre-commit
```

or directly

```bash
pip install pre-commit
pre-commit run --all
```

To run the pre-commit hook test:

```bash
tox -e py37-hook
```

## Publish to PyPi

Either use flit directly:

```bash
pip install flit
flit publish
```

or trigger the GitHub Action job, by creating a release with a tag equal to the version, e.g. `v0.0.1`.

Note, this requires generating an API key on PyPi and adding it to the repository `Settings/Secrets`, under the name `PYPI_KEY`.

[ci-badge]: https://github.com/open-mmlab/mdformat-openmmlab/workflows/CI/badge.svg?branch=master
[ci-link]: https://github.com/open-mmlab/mdformat-openmmlab/actions?query=workflow%3ACI+branch%3Amaster+event%3Apush
[pypi-badge]: https://img.shields.io/pypi/v/mdformat-openmmlab.svg
[pypi-link]: https://pypi.org/project/mdformat-openmmlab