semvec/pypi-packages huggingface dataset:
armarx 0.23.3
A Python Toolbox for ArmarX
Requires Python: >=3.6.9,<4.0
Keywords: robotics,humanoid robots,toolbox

# Python ArmarX - A Python toolbox for ArmarX

```
from armarx import 🤖  as ❤ 
```

This package provides Python 3 bindings for ArmarX.

In addition, the package also includes some helper functions, such as
publishing or subscribing to images.


## Installation

`pip install --upgrade --extra-index-url https://pypi.humanoids.kit.edu/ armarx`

## Using the bindings

### Connecting to an existing proxy

For proxies defined in a project's `Variants-*.xml` it is possible to import
the interface directly. 

```python
from armarx import PlatformUnitInterfacePrx
platform_unit = PlatformUnitInterfacePrx.get_proxy('Armar6PlatformUnit')
platform_unit.moveTo(0.0, 0.0, 0.0, 50.0, 0.1)
```

Slice definitions can be loaded using the `slice_loader.load_armarx_slice`
function. Default values for the proxy name will also be mapped.

More examples can be found in the `examples` folder.

## Documentation

See `https://armarx.humanoids.kit.edu/python`
dvadmin-ak-sk 1.0.0
dvadmin-ak-sk 插件是dvadmin的一个ak/sk加密调用插件，使用Access Key Id / Secret Access Key加密的方法来验证某个请求的发送者身份。Access Key Id（AK）用于标示用户，Secret Access Key（SK）是用于加密认证字符串来验证认证字符串的密钥，其中SK必须保密。 AK/SK原理使用对称加解密。
Requires Python: >=3.6, <4

# dvadmin_ak_sk

#### 介绍
dvadmin-ak-sk 插件是dvadmin的一个ak/sk加密调用插件，使用Access Key Id / Secret Access Key加密的方法来验证某个请求的发送者身份。Access Key Id（AK）用于标示用户，Secret Access Key（SK）是用于加密认证字符串来验证认证字符串的密钥，其中SK必须保密。 AK/SK原理使用对称加解密。

#### 软件架构
软件架构说明
## 安装包

使用pip安装软件包：

```python
pip install dvadmin-ak-sk
```


### 方式一: 一键导入注册配置
在 application / settings.py 插件配置中下导入默认配置
```python
...
from dvadmin_ak_sk.settings import *
```
### 方式二: 手动配置
在INSTALLED_APPS 中注册app（注意先后顺序）

```python
INSTALLED_APPS = [
    ...
    'dvadmin_ak_sk',
]
```

```python
REST_FRAMEWORK = {
    "DEFAULT_AUTHENTICATION_CLASSES": (
        ...,
        'dvadmin_ak_sk.libs.authentication.AkSkAuthentication'
    )
}
```

在 application / urls.py 中注册url地址
```python
urlpatterns = [
    ...,
    path(r'api/dvadmin_ak_sk/', include('dvadmin_ak_sk.urls')),
]
```


## 使用说明

~~~ python
import json
import os

import django

os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'application.settings')
django.setup()
from plugins.dvadmin_ak_sk_backend.client import Auth

AccessKey = 't32fSY09Mi0m0jT2G7XtmG7XgcS6QDzq'
AccessSecret = 'tMAiu8r8eJ4lptxviQ8QHsDOAtNvlG6K'

AuthObj = Auth(accessKey=AccessKey, accessSecret=AccessSecret)


def get_url(url):
    method = 'GET'
    body = ""
    queryString = ""
    headers = {"content-type": "application/json"}
    res = AuthObj.request(method=method, url=url, headers=headers, body=body, params=queryString)
    print(res)


def post_url(url):
    method = 'POST'
    body = {"name": '测试03', "unique_key": '1111'}
    queryString = ""
    headers = {"content-type": "application/json"}
    res = AuthObj.request(method=method, url=url, headers=headers, body=json.dumps(body), params=queryString)
    print(res)


if __name__ == '__main__':
    get_url('http://ip:8000/api/dvadmin_ak_sk/key_manage/')
    # post_url('http://ip.com:8000/api/dvadmin_ak_sk/key_manage/')

~~~
strmprivacy-driver 3.1.0
Python driver for interacting with STRM Privacy.
Requires Python: >=3.6
Keywords: strmprivacy api client driver

# Python Driver for STRM Privacy

[![PyPi][pypi-version-image]][pypi-version-link]
![Python Versions][python-versions-image] 


See the matching [examples](https://github.com/strmprivacy/driver-examples) in order to use the Python driver.

## Need help?

See our [documentation](https://docs.strmprivacy.io) or [reach out to us](https://docs.strmprivacy.io/docs/0.1.0/contact/index.html).

[pypi-version-image]: https://img.shields.io/pypi/v/strmprivacy-driver.svg
[pypi-version-link]: https://pypi.org/project/strmprivacy-driver/
[python-versions-image]: https://img.shields.io/pypi/pyversions/strmprivacy-driver.svg
hei-textpreprocessor 0.0.2
A simple python wrapper for usual text tasks (preprocessing, tokenization, and vectorization.)
Requires Python: >=3.7

# Introduction 
A simple python wrapper for usual text tasks (preprocessing, tokenization, and vectorization.)

# Getting Started
Soon, the library can be installed via pip (pip install hei-textpreprocessor)

# Build and Test
The library includes one notebook (demo.ipynb) that demonstrates the use of the library

# Content
The library includes the following classes:
1. Language - holds all information (language-related) that is needed for further text processing.
2. Tokenizer - defines how to text needs to be tokenized
3. Preprocessor - applies standard preprocessing techniques to text.
4. vectorizer - defines how to text needs to be vectorized