semvec/pypi-packages huggingface dataset:
baidu-bce-auth 0.0.5
帮助你生成百度云 API 的鉴权认证字符串(Authorization header)
Requires Python: >=3.6

[![Build Status](https://travis-ci.org/HuangShaoyan/baidu-bce-auth.svg?branch=master)](https://travis-ci.org/HuangShaoyan/baidu-bce-auth)
[![Coverage Status](https://coveralls.io/repos/github/HuangShaoyan/baidu-bce-auth/badge.svg?branch=master)](https://coveralls.io/github/HuangShaoyan/baidu-bce-auth?branch=master)
[![image](https://img.shields.io/pypi/v/baidu-bce-auth.svg)](https://pypi.org/project/baidu-bce-auth/)
[![image](https://img.shields.io/pypi/l/baidu-bce-auth.svg)](https://pypi.org/project/baidu-bce-auth/)
[![image](https://img.shields.io/pypi/pyversions/baidu-bce-auth.svg)](https://pypi.org/project/baidu-bce-auth/)


# baidu-bce-auth

帮助你生成百度云 API 的鉴权认证字符串(Authorization header)

百度云 API 鉴权认证的文档：https://cloud.baidu.com/doc/Reference/s/njwvz1yfu

使用方法，以 requests 为例

```
from bceauth.auth import make_auth

ak = 'xxx'
sk = 'yyy'
path = 'zzz'
url = 'http://example.com'
params = {}

requests.get(
    url,
    params=params,
    headers={
        'Authorization': make_auth(   # <== 调用 make_auth，得到 Authorization 的内容
            ak=ak,
            sk=sk,
            method='GET',
            path=path,
            params=params,
            headers={
                'Host': 'example.com',
            },
        ),
        'Host': 'example.com',
    }
)
```

完整的例子，可以参考：[tests/test_auth.py](tests/test_auth.py)
mmcv 1.0rc0
OpenMMLab Computer Vision Foundation
Keywords: computer vision

MMCV
====

.. image:: https://img.shields.io/pypi/v/mmcv
  :target: https://pypi.org/project/mmcv

.. image:: https://github.com/open-mmlab/mmcv/workflows/build/badge.svg
  :target: https://github.com/open-mmlab/mmcv/actions

.. image:: https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg
  :target: https://codecov.io/gh/open-mmlab/mmcv

.. image:: 	https://img.shields.io/github/license/open-mmlab/mmcv.svg
  :target: https://github.com/open-mmlab/mmcv/blob/master/LICENSE


Introduction
------------

MMCV is a foundational python library for computer vision research and supports many
research projects in MMLAB, such as `MMDetection <https://github.com/open-mmlab/mmdetection>`_
and `MMAction <https://github.com/open-mmlab/mmaction>`_.

It provides the following functionalities.

- Universal IO APIs
- Image/Video processing
- Image and annotation visualization
- Useful utilities (progress bar, timer, ...)
- PyTorch runner with hooking mechanism
- Various CNN architectures
- High-quality implementation of common CUDA ops

See the `documentation <http://mmcv.readthedocs.io/en/latest>`_ for more features and usage.

Note: MMCV requires Python 3.6+.


Installation
------------

Try and start with

.. code::

    pip install mmcv


or install from source

.. code::

    git clone https://github.com/open-mmlab/mmcv.git
    cd mmcv
    pip install -e .

If you are on macOS, replace the last command with

.. code::

   CC=lang CXX=clang++ CFLAGS='-stdlib=libc++' pip install -e .

Note: If you would like to use :code:`opencv-python-headless` instead of :code:`opencv-python`,
e.g., in a minimum container environment or servers without GUI,
you can first install it before installing MMCV to skip the installation of :code:`opencv-python`.
jiradata 1.2.0
Simple JIRA data manipulation
Requires Python: >=3.7,<4.0

# Jira data

![Python package](https://github.com/KhalidCK/jiradata/workflows/Python%20package/badge.svg)

> Cause sometimes you need to sort out your issues

## Install

`pip install jiradata`

## How to use ?

Write a csv report

```shell
cat response.json | jiradata myreport.csv
```

With some 'Epic' and issue related to it :

```shell
cat response.json |jiradata --epic-field customfield_10000 report.csv
```

## Hold up what is this `reponse.json` ?

They are issues in json format retrieved using the JIRA REST API.

What I found convenient is to use the [search API](https://developer.atlassian.com/cloud/jira/platform/rest/v2/#api-rest-api-2-search-post) with JQL.

For example, using [httpie](https://httpie.org/) :

`config.json`

```json
{
  "jql": "project = QA",
  "startAt": 0,
  "maxResults": 2,
  "fields": ["id", "key"]
}
```

Command line

```sh
cat config.json|http -a myusername post 'https://<site-url>/rest/api/2/search'
```

## Related

- [Export results to microsoft Excel](https://confluence.atlassian.com/jira061/jira-user-s-guide/searching-for-issues/working-with-search-result-data/exporting-search-results-to-microsoft-excel)
- [Jira python](https://github.com/pycontribs/jira)