semvec/pypi-packages huggingface dataset:
hepconvert 1.4.0
File conversion package.
Requires Python: >=3.9

<img src="https://github.com/scikit-hep/hepconvert/blob/f461872ec41473b14fdb7ebd76e68798ef8bb394/docs/docs-img/hepconvert_logo.svg" width="400px">

[![Actions Status][actions-badge]][actions-link]
[![Documentation Status][rtd-badge]][rtd-link]

[![PyPI version][pypi-version]][pypi-link]
[![Conda-Forge][conda-badge]][conda-link]
[![PyPI platforms][pypi-platforms]][pypi-link]

[![GitHub Discussion][github-discussions-badge]][github-discussions-link]

<!-- SPHINX-START -->

<!-- prettier-ignore-start -->
[actions-badge]:            https://github.com/zbilodea/hepconvert/workflows/CI/badge.svg
[actions-link]:             https://github.com/zbilodea/hepconvert/actions
[conda-badge]:              https://img.shields.io/conda/vn/conda-forge/hepconvert
[conda-link]:               https://github.com/conda-forge/hepconvert-feedstock
[github-discussions-badge]: https://img.shields.io/static/v1?label=Discussions&message=Ask&color=blue&logo=github
[github-discussions-link]:  https://github.com/zbilodea/hepconvert/discussions
[pypi-link]:                https://pypi.org/project/hepconvert/
[pypi-platforms]:           https://img.shields.io/pypi/pyversions/hepconvert
[pypi-version]:             https://img.shields.io/pypi/v/hepconvert
[rtd-badge]:                https://readthedocs.org/projects/hepconvert/badge/?version=latest
[rtd-link]:                 https://hepconvert.readthedocs.io/en/latest/

The hepconvert library is a bridge between columnar file formats, currently **ROOT, and Parquet** and soon will include **HDF5.** It aims to simplify file conversions in Python, replacing what is usually a multi-step process with one line of code, with builtin features for managing large datasets and choosing compression levels.

# Installation

hepconvert can be installed from [PyPI](https://pypi.org/project/hepconvert) using pip:

```bash
pip install hepconvert
```

To install with Conda through [conda-forge](https://github.com/conda-forge/hepconvert-feedstock):

```bash
conda install -c conda-forge hepconvert
```
# Getting started

```python
import hepconvert

# To merge two or more root files with TTrees,
# and add together any histograms:
hepconvert.merge_root("destination.root",
["ttree_file1.root", "ttree_file2.root"])


# To add root files with only histograms:
hepconvert.add_histograms("destination.root",
["hist_file1.root", "hist_file2.root"])

```

To run ``merge_root`` from the command line:

```bash
hepconvert merge-root [options] [OUT_FILE] [IN_FILES]
```

To run ``add_histograms``:

```bash
hepconvert add [options] [OUT_FILE] [IN_FILES]
```

Find details on each function's CLI options on the readthedocs.

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wecom-worktool 0.1.0
企业微信WorkTool机器人API的封装。
Requires Python: >=3.11

这只是 [WorkTool](https://worktool.ymdyes.cn/) API 的简单封装，以便于能够在各种程序中引入复用。

可以参考 [WorkTool的API文档](https://worktool.apifox.cn/)，但部分功能尚未封装。


# 已封装的功能

- [x] 发送文本
- [x] 发送图片/文件/音频/视频/其他
- [x] 发送腾讯文档/收集表
- [x] 发送微盘图片
- [x] 添加群成员
- [x] 移除群成员
- [x] 修改群名
- [x] 修改公告
- [x] 修改群备注
- [x] 解散群
- [x] 添加待办
- [x] 添加好友（从手机号）
- [x] 添加好友（从群）
- [x] 移除好友
- [x] 修改好友


# 使用示例

安装模块

`pip install wecom_worktool`

```python
from wecom_worktool import Worktool

with Worktool("your_robot_id") as bot:
        bot.send_file(
            ["群1", "好友1"],
            "文件名.jpg",
            "https://your_image_url.jpg",
            bot.FileType.IMAGE
        )
        bot.send_text(
            ["好友1"],
            "Hello world!"
        )
        bot.send_text(
            ["群1"],
            "Hello world!",
            ["@所有人"]
        )
```
signal_processing_basics 0.1.9
Signal Processing Basics for Condition Monitoring Engineers
Requires Python: <4.0,>=3.11

# Signal Processing for Condition Monitoring
This Python library is intended to be used for signal processing in condition monitoring.

This module is focused on the signal processing methods which are commonly used in vibration based condition monitorig. For example the processing methods used in MEV781 - Vibration Based Condition Montioring and other useful functions frequently used in signal processing investigations.

# Installation
```
pip install signal_processing_basics
```

# Errors:
Please feel free to contact me, Justin Smith, through 66smithjustin@gmail.com if you notice any issues.

# About the Author:
I am currently a mechanical engineering Masters candidate at the University of Pretoria performing research in the Center for Asset Integrity Management. I am focusing on vibration based condition monitoring systems for axial fans. Linkedin: https://www.linkedin.com/in/justin-s-507338116/

# To Do's
Add useful code from BTT test notebooks (such as the get_threshold function, get_dataframe function and so on)
Update the get_displacement_signal function to handle a MPR signal and not just an OPR signal
Update filter funtion to use filtfilt as its a function of past and future so the filter wont lag the input (https://stackoverflow.com/questions/13740348/how-to-apply-a-filter-to-a-signal-in-python/13740532#13740532)
might be a good idea to have more filtering options
circus 0.19.0
Circus is a program that will let you run and watch multiple processes and sockets.
Requires Python: >=3.7

![Build Status](https://github.com/circus-tent/circus/workflows/ci/badge.svg)
![Coverage Status](https://coveralls.io/repos/github/circus-tent/circus/badge.svg?branch=master)
![PyPI](https://img.shields.io/pypi/v/circus) 
![PyPI - Downloads](https://img.shields.io/pypi/dm/circus)
# Circus

Circus is a program that runs and watches processes and sockets.
Circus can be used as a library or through the command line.

## Links

- [Full Documentation](https://circus.readthedocs.io)
- [How to Contribute](https://circus.readthedocs.io/en/latest/contributing/)
- IRC: Freenode, channel #mozilla-circus
embark 0.0.3
embark anything.
Requires Python: <4.0,>=3.8

# embark

[![Release](https://img.shields.io/github/v/release/nlile/embark)](https://img.shields.io/github/v/release/nlile/embark)
[![Build status](https://img.shields.io/github/actions/workflow/status/nlile/embark/master.yml?branch=master)](https://github.com/nlile/embark/actions/workflows/master.yml?query=branch%3Amaster)
[![codecov](https://codecov.io/gh/nlile/embark/branch/master/graph/badge.svg)](https://codecov.io/gh/nlile/embark)
[![Commit activity](https://img.shields.io/github/commit-activity/m/nlile/embark)](https://img.shields.io/github/commit-activity/m/nlile/embark)
[![License](https://img.shields.io/github/license/nlile/embark)](https://img.shields.io/github/license/nlile/embark)

embark anything.

- **Github repository**: <https://github.com/nlile/embark/>
- **Documentation** <https://nlile.github.io/embark/>

## Getting started with your project

First, create a repository on GitHub with the same name as this project, and then run the following commands:

```bash
git init -b master
git add .
git commit -m "init commit"
git remote add origin git@github.com:nlile/embark.git
git push -u origin master
```

Finally, install the environment and the pre-commit hooks with

```bash
make install
```

You are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to master, or when you create a new release.

To finalize the set-up for publishing to PyPI or Artifactory, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/publishing/#set-up-for-pypi).
For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/mkdocs/#enabling-the-documentation-on-github).
To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/codecov/).

## Releasing a new version

- Create an API Token on [PyPI](https://pypi.org/).
- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting [this page](https://github.com/nlile/embark/settings/secrets/actions/new).
- Create a [new release](https://github.com/nlile/embark/releases/new) on Github.
- Create a new tag in the form `*.*.*`.
- For more details, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/cicd/#how-to-trigger-a-release).

---

Repository initiated with [fpgmaas/cookiecutter-poetry](https://github.com/fpgmaas/cookiecutter-poetry).