semvec/pypi-packages huggingface dataset:
sphinxcontrib-exceltable 0.3.0
Support for including Excel spreadsheets into Sphinx documents
Requires Python: <4,>=3.8

Module ``sphinxcontrib.exceltable`` is an extension for Sphinx_, that adds support for including Excel spreadsheets, or part
of them, into Sphinx document. See documentation for further information. It works with Python >=3.7

Installation::

    mkdir my-docs
    cd my-docs/

    # Install dependencies
    python3 -v venv
    source vevn/bin/activate
    pip3 install sphinx sphinxcontrib-exceltable

    # Alternatively, install pre-release
    # pip3 install sphinxcontrib-exceltable --pre

    # Create simple docs
    sphinx-quickstart

Configuration:

Enable the extension by adding ::


  extensions = [
    'sphinxcontrib.exceltable'
    # ...other extensions
  ]

Usage::

  My document
  ===========
  The contents of the setup script:

  .. exceltable:: Table caption
     :file: path/to/document.xls
     :header: 1
     :selection: A1:B3

Read complete documentation: http://pythonhosted.org/sphinxcontrib-exceltable/
Report issues: https://github.com/sphinx-contrib/exceltable/issues

Development::

  # Create virtual environment
  python3 -m venv venv3
  source venv3/bin/activate

  # Install dependencies
  python3 -m pip install --upgrade pip
  pip3 install -r requirements.txt

  # Run tests
  PYTHONPATH=$(pwd)/src python3 -m pytest

  # Run
  python3 -m tox

.. _Sphinx: https://www.sphinx-doc.org/
chopro-epub 1.1.1
Tool to build EPUB songbooks from lists of ChordPro files
Requires Python: >=3.8

# chordpro-epub
Simple script to create a songbook from a list of chordpro files.

![Default style output](default_style.png)

## Installing

Download the latest wheel from the build artifacts, or install with pip
```
$ pip install git+https://github.com/paulfd/chordpro-epub.git
```
PyPI availability might come later.

## Usage

```bash
[user@foo chopro-epub]$ chopro-epub --help
Usage: chopro-epub [OPTIONS] SONG_LIST

  Generate an EPUB songbook from a list of songs.

Arguments:
  SONG_LIST  The path to the file containing the list of songs with one song
             per line.  [required]

Options:
  --output PATH                   The output path for the generated EPUB
                                  songbook.  [default: songbook.epub]
  --css PATH                      The path to a custom CSS file to style the
                                  EPUB.
  --book-title TEXT               The title of the generated EPUB songbook.
                                  [default: Songbook]
  --book-id TEXT                  An identifier for the EPUB songbook.
                                  [default: songbook31415926535]
  --book-author TEXT              The author or creator of the EPUB songbook.
  --wrap-chords / --no-wrap-chords
                                  If True, chords within the song lyrics will
                                  be wrapped in square brackets.  [default:
                                  no-wrap-chords]
  --verbose / --no-verbose        [default: no-verbose]
  --help                          Show this message and exit.
```

Example usage
```bash
$ chopro-epub list.txt --verbose
$ chopro-epub --css custom.css --book-author "Paul Ferrand" --book-title "My Songbook" list.txt
```

## Custom styling

You can use [the default style](chopro_epub/chopro-epub.css) as a basis to customize the output style.

## Contributing

The project is fairly contained. I added [pre-commit hooks](https://pre-commit.com/) that you
can use by running `pre-commit install` in this repository. Any contribution is welcome.

Note that I do not wish to host songs here.

## Acknowledgements

Thanks a lot to [Robert Hoeller](https://github.com/rhh) for the much improved parsing code!
airflowconversion 1.0.2
Converting Oozie workflows in XML to Python (Airflow Syntax)

## Python Utility tool for migration of workflows from Oozie to Airflow

- <b>Inputs required :</b>
1. Input folder path (Where the XML files to be converted are stored.)
2. Output folder path (Where the converted python files are to be stored)
3. Queue name (for the DAG)

<b>How to use this library:</b>
> from airflowconversion.ParseXML import conversion <br/>
conversion(r"<input_folder_path>", r"<output_folder_path>",'<queue_name>')
zzq-strings-sum 0.6.0
A client for Databus API

# Databus Client

Databus Client is a Python client for making HTTP requests to the Databus API and retrieving JSON data.

## Installation

You can install Databus Client using pip:

```agsl
pip install databus-client
```

## Usage




#### Get datasheet pack data

```python
from api.apitable_databus_client import DatabusClient

# Initialize the client with the base URL of the Databus API
host_address = "https://integration.vika.ltd"
client = DatabusClient(host_address)

# Make a GET request to fetch the datasheet pack data
datasheet_id = "dstbUhd5coNXQoXFD8"
result = client.get_datasheet_pack(datasheet_id)

if result:
    print(result)
else:
    print("Request failed.")
```

## develop

```shell
python3 -m venv .env
source ./env/bin/active
pip3 install -r requirements.txt
pip3 install twine
```

## build and publish
```shell
python3 setup.py sdist
twine upload dist/*
```
aie-sdk 3.0.4
AIEarth Engine Python SDK
Requires Python: >=3.8.0

AIEarth Engine Python SDK

Visit the [AIEarth main page](https://engine-aiearth.aliyun.com/)
for more information.
    
# Quickstart

[快速入门](https://engine-aiearth.aliyun.com/docs/page/guide?d=c2989d)
usepy-plugin-logger 0.1.6
一个全局拦截日志并转为loguru日志的插件
Requires Python: >=3.7,<4.0

### 一个全局拦截日志并转为loguru日志的插件

<a href="https://pypi.org/project/usepy-plugin-logger" target="_blank">
    <img src="https://img.shields.io/pypi/v/usepy-plugin-logger.svg" alt="Package version">
</a>

<a href="https://pypi.org/project/usepy-plugin-logger" target="_blank">
    <img src="https://img.shields.io/pypi/pyversions/usepy-plugin-logger.svg" alt="Supported Python versions">
</a>

#### 安装

> pip install 'usepy[logger]'

#### 使用

```python
from usepy import useLogger

useLogger()  # 使用默认配置

```

如果你自身项目正在使用`loguru`，这一切似乎感觉毫无变化。因为默认的配置只是修改了一点输出样式。

如果想要感受它带来的“魔法”，需要稍微配置一下。

```python
from usepy import useLogger

useLogger(packages=["scrapy", "django", "usepy"])

```

##### Logstash/Filebeat

日志的更重要能力是将日志记录发送到`Logstash`/`Filebeat`，这样就可以将日志记录存储到`Elasticsearch`
中，方便进行日志分析。所以统一日志的最终输出格式是非常重要的。

`useLogger`内置一个`logstash_handler`统一化输出格式。

```python
from loguru import logger
from usepy import useLogger, useLoggerHandlers

useLogger(
    handlers=[
        useLoggerHandlers.logstash_handler(level="DEBUG", extra={"app_name": "spider"})
    ],
    packages=["usepy"],  # hook拦截 usepy 的日志
    extra={"project_name": "usepy"}
)
logger.warning("test warning")
logger.info("test info")
logger.debug("test debug")

```