semvec/pypi-packages huggingface dataset:
wearesports 0.1
WeAreSports Command-line interface
License: MIT
Keywords: wearesports sports booking command-line cli

WeAreSports Command-line interface
==================================

This is a command-line script (``wearesports``) for managing activity booking on wearesports.fr_, a sports complex in Lyon, France.

.. _wearesports.fr: http://wearesports.fr/

Activities
==========

* Badminton (``badminton``)
* Squash (``squash``)
* Padel (``padel``)
* Foot XL (``foot``)
* Foot 5 (``foot_5``)

Command-line script
===================

Installing this package gets you a shell command, ``wearesports``, that you can use to interact with wearesports.fr_.

.. _wearesports.fr: http://wearesports.fr/

You'll need to provide your WeAreSports credentials. You can do this with the ``--username`` and ``--password`` params, but it's easier to just set them as environment variables::

	export WAS_USERNAME=<username>
	export WAS_PASSWORD=<password>

Usage
=====

List available courts for badminton::

	wearesports badminton schedule $(date +%Y-%m-%d)
vertx-eventbus 2.0.0
TCP client module for vertx TCP eventbus bridge
License: MIT
Keywords: vertx TCP eventbus clients

TCP-eventbus-client-Python
--------------------------

Introduction
------------

This is a TCP eventbus implementation for python clients. The protocol is quite simple.
for more information visit !https://github.com/jaymine/TCP-eventbus-client-Python

* 4bytes int32 message length (big endian encoding)
* json string
* built-in keys

 1) type: (String, required) One of "send", "publish", "register", "unregister".
 
 2) headers: (Object, optional) Headers with JSON format. Value of string type is supported.
 
 3) body: (Object, optional) Message content in JSON format.
 
 4) address: (String, required) Destination address
 
 5) replyAddress: (String, optional) Address for replying. 

example
-------

    class Client():
	
	  #Handler

	    def Handler(self,message):
		    if message != None:
			    print(message['body']['result'],'4');

		eb=Eventbus.Eventbus(Client(),'localhost', 7000)	

		#jsonObject -body

		body={'msg':'add 4 to 0',}

		#DeliveryOption

		do=DeliveryOption.DeliveryOption();
		do.addHeader('type','text')
		do.addHeader('size','small')
		do.addReplyAddress('add')
		do.setTimeInterval(5) 

		#register handler

		eb.registerHandler('add',Client.Handler);

		#send 

		eb.send('add',body,do)

		#close after 5 seconds

		eb.closeConnection(5)


samples
-------
Simple example,
TimeKeeper
wazimap-mapit 0.5.4
Uses Mapit to load maps and boundaries in Wazimap
License: MIT

Wazimap Mapit
=============

Support for using Mapit maps in `Wazimap <http://wazimap.readthedocs.org/en/latest/>`_, generally from `mapit.code4sa.org <http://mapit.code4sa.org>`_.

Releasing a New Version
-----------------------

1. Update VERSION appropriately
2. Update the CHANGES.rst
3. Commit and push to github
4. Release to PyPI::

    python setup.py sdist bdist_wheel upload

License
=======

Licensed under the MIT License.
gpsd-py3 0.2.0
Python 3 library for working with gpsd
License: MIT
Keywords: gps,gpsd

Python3 GPSD client
===================

This is a library for polling gpsd in Python3

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

Install through pip::

    $ pip3 install gpsd-py3

Usage
-----

Just import it and poll the gps. Only a single gpsd server a time is supported::

    import gpsd

    # Connect to the local gpsd
    gpsd.connect()

    # Connect somewhere else
    gpsd.connect(host="127.0.0.1", port=123456)

    # Get gps position
    packet = gpsd.get_current()

    # See the inline docs for GpsResponse for the available data
    print(packet.position())


More detailed documentation is available in the inline docstrings in the module. A list is also readable in ``DOCS.md``
(thanks @richteelbah for the detailed docs)
empathy-machines 0.5.1
An off-the-rack NLP sentiment classifier- upload your own corpus or use the pre-installed ones
License: MIT
Keywords: machine learning,data science,NLP,natural language processing,sentiment,sentiment analysis,sentiment prediction,twitter corpus,twitter,tweets corpus,movie reviews corpus,NLTK,automated machine learning

# empathyMachines
> A standalone NLP sentiment classifier you can import as a module

## Purposes

1. Offer a batteries-included NLP classifier you can use either on it's own, or to make sentiment predictions as part of a broder NLP project (for example, when classifying customer messages, whether the customer is angry or not might help you determine if this is a compensation request, or a request to adjust their address.)
1. Have the entire sentiment prediction process scaffolded so you can feed in your own training corpus, and easily train an NLP sentiment classifier.

## How to use

1. Download the repo from GitHub (pip install coming later)
1. `cd` into repo, and `pip install -r requirements.txt`
1. In your Python code, `from EmpathyMachines import EmpathyMachines`
1. `nlp_classifier = EmpathyMachines()`
1. `nlp_classifier.train(corpus='Twitter')`
1. `nlp_classifier.predict(text_string)`


### Corpora included


### Include your own corpus (UNDER CONSTRUCTION)

Feel free to train a classifier on your own corpus!

Two ways to do this:
1. Read in a .csv file with header row containing "sentiment", "text", and optionally, "confidence"
1. Pass in an array of Python dictionaries, with attributes for "sentiment", "text", and optionally, "confidence"


1. Create a .csv file with the following fields
1. `nlp_classifier.train(corpus='custom', corpus_path='path/to/custom/corpus.csv', analytics_output=False)`
alembic_pastedeploy 0.0.2
Let alembic read pastedeploy-flavored ini config files.
License: MIT

alembic-pastedeploy
===================

This is a thin-wrapper of alembic which allows alembic to read pastedeploy-flavored ini config files.


Supported features
------------------

- Importing defaults by ``get`` and ``set`` directive::

    [alembic]
    get sqlalchemy.url = sqlalchemy.url

- Giving global-conf interpolants by ``--paste-global`` option from the commandline::

  $ alembic_pastedeploy --paste-global sqlalchemy.url=sqlite:///test.db upgrade head