semvec/pypi-packages huggingface dataset:
tornado-jinja2 0.2.4
jinja2 Engine for tornado web framework
License: MIT
Keywords: tornado jinja2 template engine python

Integrate Jinja2 into Tornado Framework
=======================================

This package makes you have the ability that using Jiaja2 Template Engine with Tornado Web Framework.
It will replace the default Tornado Templates.

How to use:
-----------

Import Jinja2Loader to your project 

.. code-block:: python

    from tornado_jinja2 import Jinja2Loader


Pass the instance of Jinja2Loader to `tornado.web.Application` as the value of "template_loader" parameter.  
You can use the particular Loader from jinja2 and configuring jinaja2 environment by your self.

.. code-block:: python

    import tornado.web
    import jinja2

    # Create a instance of Jinja2Loader
    jinja2_env = jinja2.Environment(loader=jinja2.FileSystemLoader('template/path/'), autoescape=False)
    jinja2_loader = Jinja2Loader(jinja2_env)

    # Give it to Tornado to replace the default Loader.
    settings = dict(template_loader=jinja2_loader)
    application = tornado.web.Application(handler=[],
                                          **settings)
dopaminekit 0.9.3
A library to use DopamineLabs machine learning API
License: MIT
Keywords: machinelearning analytics dopamine reinforcement behavior

This packages provides a class for interacting with the DopamineAPI from a python project. After you have received your API key and configured the actions and reinforcements relevant to your app on the [Dopamine Developer Dashboard](dashboard.usedopamine.com), you may use this class to place 'tracking()', and 'reinforcement()' calls from inside your app that will communicate directly with the machine learning based DopamineAPI.
mockbcrypt 0.2.3
A bcrypt mock plugin for nosetests
License: MIT

mockbcrypt
==========

A mock bcrypt plugin for nosetests that answers the question: *how much time does every test take?*

.. image:: https://travis-ci.org/boneyao/mockbcrypt.png?branch=master
   :target: https://travis-ci.org/boneyao/mockbcrypt


Install
-------

To install the latest release from PyPI::

    pip install mockbcrypt

Or to install the latest development version from Git::

    pip install git+git://github.com/boneyao/mockbcrypt.git

Or to install the latest from source::

    git clone https://github.com/boneyao/mockbcrypt.git
    cd mockbcrypt
    pip install .

You can also make a developer install if you plan on modifying the
source frequently::

    pip install -e .



Usage
-----

Run nosetests with the ``--with-mockbcrypt`` flag


License
-------

``nose-mockbcrypt`` is an MIT Licensed library.


Contribute
----------

- Check for open issues or open a fresh issue to start a discussion around a
  feature idea or a bug.
- Fork the repository on GitHub to start making your changes to the master
  branch (or branch off of it).
- Write a test which shows that the bug was fixed or that the feature
  works as expected.
- Send a pull request and bug the maintainer until it gets merged and
  published.
- Make sure to add yourself to the author's file in ``setup.py`` and the
  ``Contributors`` section below :)


Contributors
------------

- `@boneyao <https://github.com/boneyao>`_