semvec/pypi-packages huggingface dataset:
DStore 0.1.2
Python Data abstraction layer (ORM)
License: MIT

Welcome To DStore
#################

.. image:: https://img.shields.io/coveralls/MarkLark/dstore.svg
    :target: https://coveralls.io/github/MarkLark/dstore?branch=master

.. image:: https://img.shields.io/travis/MarkLark/dstore/master.svg
    :target: https://travis-ci.org/MarkLark/dstore

.. image:: https://img.shields.io/pypi/v/dstore.svg
    :target: https://pypi.python.org/pypi/dstore

.. image:: https://img.shields.io/pypi/pyversions/dstore.svg
    :target: https://pypi.python.org/pypi/dstore

DStore (DataStore) is a Python Object Relational Mapper (ORM) that allows easy description of data models.

Installing
==========

>From PyPi
---------
DStore is available from the PyPi repository at `DStore <https://pypi.python.org/pypi/DStore>`_.

This means that all you have to do to install DStore is run the following in a console:

.. code-block:: console

    $ pip install dstore

>From Source
-----------
DStore can also be installed from source by downloading from GitHub and running setup.py.

.. code-block:: console

    $ wget https://github.com/MarkLark/dstore/archive/master.tar.gz
    $ tar xvf master.tar.gz
    $ cd dstore-master
    $ python setup.py install


Requirements
============
DStore does not rely on any other Python Packages.

It has also been thoroughly tested to work on the following Python Versions:

* 2.7
* 3.3
* 3.4
* 3.5
* 3.6

Minimal Example
===============

.. code-block:: python

    from dstore import MemoryStore, Model, var, mod

    class Car( Model ):
        _namespace = "cars.make"
        _vars = [
            var.RowID,
            var.String( "manufacturer", 32, mods = [ mod.NotNull() ] ),
            var.String( "make", 32, mods = [ mod.NotNull() ] ),
            var.Number( "year", mods = [ mod.NotNull(), mod.Min( 1950 ), mod.Max( 2017 ) ] ),
        ]

    # Create the MemoryStore instance, and add Models to it
    store = MemoryStore( [ Car ] )
    store.init_app()
    store.connect()
    store.create_all()

    # Create a new Car, then retrieve it using filter and all
    Car( manufacturer = "Holden", make = "Commodore", year = 2010 ).add()
    holdens = Car.filter( manufacturer = "Holden" )
    cars = Car.all()

    # Destroy all instances and shut down the application
    store.destroy_all()
    store.disconnect()
    store.destroy_app()


External Links
==============

Documentation: `ReadTheDocs <http://python-dstore.readthedocs.io/>`_

Test Results: `Travis CI <https://travis-ci.org/MarkLark/dstore>`_

Test Coverage: `Coveralls <https://coveralls.io/github/MarkLark/dstore>`_
challonge2elo 0.1.0
Elo ratings from Challonge tournament results.
License: MIT

challonge2elo
=============

This script implements the Elo rating system for Challonge tournament results. The ratings are output to a CSV file, and they are also saved in a JSON file so that you can go back and update them later with future tournament results.

Note that this script relies on players having the same name for each tournament. If you are a tournament organizer, make sure your naming scheme is consistent!

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

.. code-block:: bash

    $ pip install challonge2elo

Configuration
-------------

Log in to your Challonge account and `get your API key <https://challonge.com/settings/developer>`_. Then export your username and API key as environment variables:

.. code-block:: bash

    $ export CHALLONGE_USERNAME="<Your Challonge username>"
    $ export CHALLONGE_API_KEY="<Your Challonge API key>"

Usage
-----

Create your ratings by passing tournament IDs:

.. code-block:: bash

    $ challonge2elo ggsmash-116_smash4 ggsmash-416_smash4
django-fine-uploader 0.2.0
Simple, Chunked and Concurrent uploads with Django + Fine Uploader
License: MIT
Keywords: django-fine-uploader

=============================
Django Fine Uploader
=============================

.. image:: https://img.shields.io/pypi/v/django-fine-uploader.svg
    :target: https://pypi.python.org/pypi/django-fine-uploader

.. image:: https://img.shields.io/pypi/l/django-fine-uploader.svg
    :target: https://pypi.python.org/pypi/django-fine-uploader

.. image:: https://img.shields.io/pypi/wheel/django-fine-uploader.svg
    :target: https://pypi.python.org/pypi/django-fine-uploader

Simple, Chunked and Concurrent uploads with Django_ + `Fine Uploader`_

.. _Django: https://www.djangoproject.com
.. _`Fine Uploader`: http://fineuploader.com

This is an alpha version.

We have a example_ project. Just `git clone` the django-fine-uploader repository and follow the instructions.

.. _example: https://github.com/douglasmiranda/django-fine-uploader/tree/master/example

Quickstart
----------

Install django_fine_uploader::

    pip install django-fine-uploader

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'django_fine_uploader.apps.DjangoFineUploaderConfig',
        ...
    )

Add django_fine_uploader's URL patterns:

.. code-block:: python

    urlpatterns = [
        ...
        url(r'^fine-uploader/', include('django_fine_uploader.urls', namespace='django_fine_uploader')),
        ...
    ]

And finally your html file: copy from `this gist`_. (too much html to put on our README)

.. _`this gist`: https://gist.github.com/douglasmiranda/77da9c801e0cf83357ba51a639372768

Features
--------

* Simple Upload
* Chunked Upload
* Concurrent Chunked Upload
* `Ready to use upload endpoint`_
* `Easy extend FineUploaderView`_ (FormView)
* Or create your custom view and use the Django Fine Uploader handler

.. _`Ready to use upload endpoint`: https://github.com/douglasmiranda/django-fine-uploader/blob/master/django_fine_uploader/fineuploader.py
.. _`Easy extend FineUploaderView`: https://github.com/douglasmiranda/django-fine-uploader/blob/master/django_fine_uploader/views.py

TODO
----

Instead of listing here, check the issues_ and projects_.

.. _issues: https://github.com/douglasmiranda/django-fine-uploader/issues
.. _projects: https://github.com/douglasmiranda/django-fine-uploader/projects

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

Fineuploader: http://fineuploader.com




History
-------

0.2.0 (2017-02-12)
++++++++++++++++++

* Now we have a `BaseFineUploader`
* A basic planing for Beta release: https://github.com/douglasmiranda/django-fine-uploader/projects/1
* Better info on README and more

0.1.0 (2017-02-10)
++++++++++++++++++

* First release on PyPI.
vsm 0.4.0b9
Vector Space Semantic Modeling Framework for the Indiana Philosophy Ontology Project
License: MIT

VSM
===

|Build Status| |Appveyor| |Coveralls| |GitHub license| |PyPI|

**Note:** More than likely, you are looking for the `InPhO Topic
Explorer <http://github.com/inpho/topic-explorer>`__. This library is
for the machine learning implementations underlying the Topic Explorer
and is updated much slower than the user interfaces. If you are using
the Topic Explorer, please file issues there and the developers will
triage appropriately.

Vector Space Model Framework developed for the `InPhO
Project <https://inpho.cogs.indiana.edu/>`__.

Documentation can be found in the module and
`here <http://inpho.github.io/vsm/>`__.

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

::

    git clone git@github.com:inpho/vsm.git
    cd vsm
    pip install -r requirements.txt -e .

.. |Build Status| image:: https://img.shields.io/travis/inpho/vsm.svg?label=UNIX+build
   :target: https://travis-ci.org/inpho/vsm
.. |Appveyor| image:: https://img.shields.io/appveyor/ci/JaimieMurdock/vsm.svg?label=Windows+build
   :target: https://ci.appveyor.com/project/JaimieMurdock/vsm
.. |Coveralls| image:: https://img.shields.io/coveralls/inpho/vsm.svg
   :target: https://coveralls.io/r/inpho/vsm
.. |GitHub license| image:: https://img.shields.io/github/license/mashape/apistatus.svg
   :target: https://github.com/inpho/vsm/blob/master/LICENSE.txt
.. |PyPI| image:: https://img.shields.io/pypi/v/vsm.svg
   :target: https://pypi.python.org/pypi/vsm