semvec/pypi-packages huggingface dataset:
invenio-opendefinition 2.0.0a2
Invenio module integrating Invenio repositories and OpenDefinition.
License: MIT
Keywords: invenio TODO

..
    This file is part of Invenio.
    Copyright (C) 2016-2018 CERN.

    Invenio is free software; you can redistribute it and/or modify it
    under the terms of the MIT License; see LICENSE file for more details.


========================
 Invenio-OpenDefinition
========================

.. image:: https://github.com/inveniosoftware/invenio-opendefinition/workflows/CI/badge.svg
        :target: https://github.com/inveniosoftware/invenio-opendefinition/actions?query=workflow%3ACI

.. image:: https://img.shields.io/coveralls/inveniosoftware/invenio-opendefinition.svg
        :target: https://coveralls.io/r/inveniosoftware/invenio-opendefinition

.. image:: https://img.shields.io/pypi/v/invenio-opendefinition.svg
        :target: https://pypi.org/pypi/invenio-opendefinition


Invenio module providing integration between Invenio repositories and OpenDefinition.

*This is an experimental developer preview release.*

* Free software: MIT license
* Documentation: https://invenio-opendefinition.readthedocs.io/


..
    This file is part of Invenio.
    Copyright (C) 2016-2023 CERN.

    Invenio is free software; you can redistribute it and/or modify it
    under the terms of the MIT License; see LICENSE file for more details.



Changes
=======

Version v2.0.0a2 (released 2024-07-18)

- mappings: add mappings for opensearch v1 and v2

Version v2.0.0a1 (released 2023-11-30)

- breaking change: drops ES2 support
- global: remove deprecated elasticsearch imports
- installation: upgrade invenio dependencies
- rest endpoints: remove deprecated `search_type` param

Version v1.0.0a12 (released 2023-03-23)

- fix installation dependencies

Version v1.0.0a11 (released 2023-03-23)

- add missing mapping fields and fix types for better search options

Version v1.0.0a10 (released 2022-02-21)

- fix fallback for missing `seeAlso` url

Version v1.0.0a9 (released 2019-10-02)

- Initial public release.
CellTasker 0.2.4
CellTasker希望提供一个高效的任务调度和管理系统。
License: MIT
Requires Python: >=3.1

# CellTasker

CellTasker是一个高效的任务调度和管理系统，它允许用户定义并行运行的任务，每个任务被视为一个'cell'。这些'cell'可以根据预定的时间表自动启动和管理，每个'cell'的状态都会被持续监控并在需要时进行更新。CellTasker提供了一种灵活且可靠的方式来处理并行任务，使任务管理和调度变得更加简单和高效。

## 安装

使用以下命令安装CellTasker：

`pip install CellTasker`

## 使用

首先，定义你的任务。每个任务都是一个'cell'，可以使用task函数来定义：

```python
from CellTasker.cell import task

@task(name='my_task', timerange='00:00:00 - 23:59:59', interval=60)
def my_task(change_status: callable):
    # 你的任务代码
    pass
```

然后，使用Controller来管理你的任务：

```python
from CellTasker.controller import Controller
import logging

aclog = logging.getLogger('CellTasker')
aclog.setLevel(logging.INFO)
controller = Controller(5)
controller.run()
```

## 贡献

欢迎提交pull request来改进CellTasker。

## 许可

MIT
KePrep 0.0
Minimally preprocessing TheBase dMRI data.
License: MIT
Requires Python: <4.0,>=3.10

# Overview

Minimally preprocessing TheBase dMRI data.

This project was generated with [cookiecutter](https://github.com/audreyr/cookiecutter) using [jacebrowning/template-python](https://github.com/jacebrowning/template-python).

[![Unix Build Status](https://img.shields.io/github/actions/workflow/status/GalKepler/keprep/main.yml?branch=main&label=linux)](https://github.com/GalKepler/keprep/actions)
[![Windows Build Status](https://img.shields.io/appveyor/ci/GalKepler/keprep.svg?label=windows)](https://ci.appveyor.com/project/GalKepler/keprep)
[![Coverage Status](https://img.shields.io/codecov/c/gh/GalKepler/keprep)](https://codecov.io/gh/GalKepler/keprep)
[![Scrutinizer Code Quality](https://img.shields.io/scrutinizer/g/GalKepler/keprep.svg)](https://scrutinizer-ci.com/g/GalKepler/keprep)

<!-- [![PyPI License](https://img.shields.io/pypi/l/KePrep.svg)](https://pypi.org/project/KePrep) -->

<!-- [![PyPI Version](https://img.shields.io/pypi/v/KePrep.svg)](https://pypi.org/project/KePrep) -->

<!-- [![PyPI Downloads](https://img.shields.io/pypi/dm/KePrep.svg?color=orange)](https://pypistats.org/packages/KePrep) -->

## Setup

### Requirements

- Python 3.10+

### Installation

Install it directly into an activated virtual environment:

```text
$ pip install KePrep
```

or add it to your [Poetry](https://poetry.eustace.io/) project:

```text
$ poetry add KePrep
```

## Usage

After installation, the package can be imported:

```text
$ python
>>> import keprep
>>> keprep.__version__
```