semvec/pypi-packages huggingface dataset:
arfpy 0.1.1
Adversarial random forests for density estimation and generative modeling
License: MIT

Adversarial random forests (ARFs) recursively partition data into fully factorized leaves, where features are jointly independent. The procedure is iterative, with alternating rounds of generation and discrimination. Data become increasingly realistic at each round, until original and synthetic samples can no longer be reliably distinguished. This is useful for several unsupervised learning tasks, such as density estimation and generative modeling. Methods for both are implemented in this package.
flask-nav-current 0.0.7
Easily create navigation for Flask applications.
License: MIT

Flask-Nav
=========
Flask-NAV-Current is a maintained for of Flask-NAV which is apparently abandoned project.
Flask-NAV-Current is supporting newest python versions without legacy/outdated/not supported python versions.


Flask-Nav is a `Flask <http://flask.pocoo.org>`_-Extension to ease the creation
of navigational Elements in Applications. It provides means to Express the
Navigational structure and different ways to render these, making it easy to
custom tailor it for your application.

A motivating example:

.. code-block:: python

    from flask import Flask

    from flask_nav import Nav
    from flask_nav.elements import Label, Link, Navbar, Separator, Subgroup, View

    nav = Nav()

    # registers the "top" menubar
    nav.register_element(
        "top",
        Navbar(
            View("Widgits, Inc.", "index"),
            View("Our Mission", "about"),
            Subgroup(
                "Products",
                View("Wg240-Series", "products", product="wg240"),
                View("Wg250-Series", "products", product="wg250"),
                Separator(),
                Label("Discontinued Products"),
                View("Wg10X", "products", product="wg10x"),
            ),
            Link("Tech Support", href="http://techsupport.invalid/widgits_inc"),
        ),
    )


    app = Flask(__name__)
    # [...] (view definitions)

    nav.init_app(app)

You can find a small, runnable example application inside the ``example``
folder. To run it, install `Flask-Appconfig
<https://github.com/mbr/flask-appconfig>`_ and execute::

    $ flask --app=example dev

The `full documentation <http://pythonhosted.org/flask-nav/>`_ can be found on PyPI.