semvec/pypi-packages huggingface dataset:
bincrafters-envy 0.1.3
Bincrafters script to update environment variables for travis and appveyor
License: MIT
Keywords: conan,C/C++,package,libraries,developer,manager,dependency,tool,c,c++,cpp

[![Build Status](https://travis-ci.org/bincrafters/bincrafters-envy.svg?branch=master)](https://travis-ci.org/bincrafters/bincrafters-envy)
[![Build status](https://ci.appveyor.com/api/projects/status/bb3844r6mnu7gy1g?svg=true)](https://ci.appveyor.com/project/BinCrafters/bincrafters-envy)
[![codecov](https://codecov.io/gh/bincrafters/bincrafters-envy/branch/master/graph/badge.svg)](https://codecov.io/gh/bincrafters/bincrafters-envy)
[![download](https://img.shields.io/badge/download-pypi-blue.svg)](https://pypi.org/project/bincrafters-envy)

# Bincrafters Envy

Update environment variables for travis and appveyor

#### Install
To install using pypi.org:

    pip install bincrafters-envy

#### Usage
first, you'll need to obtains travis and appveyor tokens

to obtain appveyor token, visit this [page](https://ci.appveyor.com/api-keys)

to obtain travis token (for travis-ci.com), visit this [page](https://travis-ci.com/account/preferences)

to obtain travis token (for travis-ci.org), visit this [page](https://travis-ci.org/account/preferences)

create **env.ini** file with your environment variables (take a look at the **env.ini.example**):

```
[account]
appveyor = <your account name on appveyor>
travis = <your account name on travis>
github = <your account name on GitHub>
[env]
CONAN_LOGIN_USERNAME = <your username>
CONAN_PASSWORD = <your password>
[encrypted]
CONAN_PASSWORD
[token]
appveyor = <your appveyor token>
travis = <your travis token>

```

then run `python envy.py -p <project>` (e.g. `python envy.py -p conan-libastral`)

#### Testing
To run all unit tests:

    cd tests
    pytest -v -s --cov=bincrafters_envy

#### LICENSE
[MIT](LICENSE)
XiaoxinService 0.1.0
A Python library for using Cuda resume filter service
License: MIT

==============================
XiaoXin Service Python Package
==============================

|PyPI version|

Notes
=====

- Windows users: pip installation may not work on some Windows environments, and it may cause unexpected errors.

- Only verified in CentOS 7.5 + Python3.6 officially

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

macOS
-----

pip3 install setuptools

Linux
-----

pip3 install setuptools

Installation
============

From source
-----------

For an up-to-date version:

- Get code from git::

    git clone http://git.prod.qiaodata.lan/ai/kg.git

-  Make sure you have `setuptools <https://pypi.python.org/pypi/setuptools>`_ installed::

    pip3 install setuptools

-  Install with  from the root of the repo::

    cd XiaoxinService
    python setup.py install

Examples
========

-  Refer also to the walk through example in::

    cd XiaoxinService/examples

.. |PyPI version| image:: https://badge.fury.io/py/xiaoxinservice.svg
   :target: http://badge.fury.io/py/xiaoxinservice
Xiaoxin-Service 0.1.0
A Python library for using Cuda resume filter service
License: MIT

==============================
XiaoXin Service Python Package
==============================

|PyPI version|

Notes
=====

- Windows users: pip installation may not work on some Windows environments, and it may cause unexpected errors.

- Only verified in CentOS 7.5 + Python3.6 officially

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

macOS
-----

pip3 install setuptools

Linux
-----

pip3 install setuptools

Installation
============

From source
-----------

For an up-to-date version:

- Get code from git::

    git clone http://git.prod.qiaodata.lan/ai/kg.git

-  Make sure you have `setuptools <https://pypi.python.org/pypi/setuptools>`_ installed::

    pip3 install setuptools

-  Install with  from the root of the repo::

    cd XiaoxinService
    python setup.py install

Examples
========

-  Refer also to the walk through example in::

    cd XiaoxinService/examples

.. |PyPI version| image:: https://badge.fury.io/py/xiaoxinservice.svg
   :target: http://badge.fury.io/py/xiaoxinservice
rain-python 0.4.0
Distributed Computational Framework
License: MIT

# Rain Python API

A python API for [Rain](https://github.com/substantic/rain) computation framework.

## Documentation

* [Overview at RtD](https://substantic.github.io/rain/docs/overview.html)
* [Python API docs](https://substantic.github.io/rain/docs/python_api.html)

## Installation

Install from [PyPI](https://pypi.org/project/rain-python/):

```shell
pip install rain-python
```

Or locally (building of Rust or C++ binaries not needed):

```shell
git clone https://github.com/substantic/rain
cd rain/python
python3 setup.py install
```

To run the python tests, you need to build binaries of the Rust and C++ code first, see our [testing Dockerfile](https://github.com/substantic/rain/blob/master/Dockerfile). You may need to get a recent version of [rust](https://www.rust-lang.org/) from [rustup](https://rustup.rs/).