semvec/pypi-packages huggingface dataset:
dj-input-flow 0.1.9
Django app to handle data flow
License: MIT
Keywords: dj-input-flow

=============================
dj-input-flow
=============================

.. image:: https://badge.fury.io/py/dj-input-flow.svg
    :target: https://badge.fury.io/py/dj-input-flow

.. image:: https://travis-ci.org/kverdecia/dj-input-flow.svg?branch=master
    :target: https://travis-ci.org/kverdecia/dj-input-flow

.. image:: https://codecov.io/gh/kverdecia/dj-input-flow/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/kverdecia/dj-input-flow

Django app to handle data flow

Documentation
-------------

The full documentation is at https://dj-input-flow.readthedocs.io.

Quickstart
----------

Install dj-input-flow::

    pip install dj-input-flow

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'adminsortable',
        'inputflow',
        ...
    )

Add dj-input-flow's URL patterns:

.. code-block:: python

    urlpatterns = [
        ...
        path('inputflow/', include('inputflow.urls', 'inputflow')),
        ...
    ]

Features
--------

* TODO

Running Tests
-------------

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install tox
    (myenv) $ tox

Credits
-------

Tools used in rendering this package:

*  Cookiecutter_
*  `cookiecutter-djangopackage`_

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage




History
-------

0.1.0 (2019-10-10)
++++++++++++++++++

* First release on PyPI.
pyvcgencmd 0.0.4
Python Wrapper for BCM (Raspberry Pi) vcgencmd
License: MIT
Requires Python: >=3.6

# Python Vcgencmd Wrapper

Python Wrapper for BCM (Raspberry Pi) vcgencmd.

This project initially created for AzatAI Xlink Clusters, where we use Raspbeery Pis as a node for our kubernets classters. They worked very well, to control and monitor the rpi nodes, we then created this package.

This package is also used in many other projects where RPi is a means of central computational power.



Still experimental.

## How to install 
`pip3 install pyvcgencmd`  
## How to use   
Quick example:  
``` python
from pyvcgencmd.models import Vcmd
```

## How to contribute    
to be documented soon.  

## Release Notes    
### Latest Changes  


## License

This project is licensed under the terms of the MIT license.
cqls 0.1.6
A parser for an often-used subset of Corpus Query Language
License: MIT

![Support Python Version](https://img.shields.io/badge/python-%E2%89%A5%203.7-blue.svg)

# Corpus Query Langauge Subset

Parse Corpus Query Language into a list of queries in JSON format.


## Installation

```bash
pip install cqls
```


## Usage

```python
>>> import cqls
>>> cql = '''
... "我" [pos="V."]+
... '''
>>> cqls.parse(cql, default_attr="word", max_quant=5)
[
  [{'match': {'word': ['我']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}], 
  [{'match': {'word': ['我']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}], 
  [{'match': {'word': ['我']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}], 
  [{'match': {'word': ['我']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}], 
  [{'match': {'word': ['我']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}, {'match': {'pos': ['V.']}, 'not_match': {}}]
]
```


## Supported CQL features

- token: `[]`, `"我"`, `[word="我"]`, `[word!="我" & pos="N.*"]`
- token-level quantifier: `+`, `*`, `?`, `{n,m}`
- grouping: `("a" "b"? "c"){1,2}`
- label: `lab1:[word="我" & pos="N.*"] lab2:("a" "b")`