semvec/pypi-packages huggingface dataset:
django-fsm-wagtail 0.1.0
A Django app to integrate django-fsm to wagtail admin.
License: MIT
Keywords: fsm_wagtail

django-fsm-wagtail
==================

Mixin to integrate django-fsm_ state transitions into the
Wagtail Admin.


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

.. code:: sh

   $ pip install django-fsm-wagtail

Or from GitHub:

.. code:: sh

   $ pip install -e git://github.com/abahnihi/django-fsm-wagtail.git#egg=django-fsm-wagtail


Usage
-----

1. Add ``fsm_wagtail`` to your ``INSTALLED_APPS``.

.. code:: python

   from django.conf import settings

   TEMPLATE_CONTEXT_PROCESSORS = settings.TEMPLATE_CONTEXT_PROCESSORS + (
       "django.core.context_processors.request",
   )

2. In your ``admin.py`` file, use ``FsmWagtailAdminMixin`` to add behaviour to your
   ModelAdmin. You can remove ``ModelAdmin`` or ``FsmWagtailAdminMixin`` should be before ``ModelAdmin``, the order is
   important.

It assumes that your workflow state field is named ``state``, however you can
override it or add additional workflow state fields with the attribute
``fsm_field``.

.. code:: python

   from fsm_wagtail.admin import FsmWagtailAdminMixin

   class YourModelAdmin(FsmWagtailAdminMixin):
       # The name of one or more FSMFields on the model to transition
       fsm_field = ['wf_state',]


3. By adding ``custom=dict(admin=False)`` to the transition decorator, one can
   disallow a transition to show up in the admin interface. This specially is
   useful, if the transition method accepts parameters without default values,
   since in **django-fsm-admin** no arguments can be passed into the transition
   method.

.. code:: python

    @transition(
       field='state',
       source=['startstate'],
       target='finalstate',
       custom=dict(admin=False),
    )
    def do_something(self, param):
       # will not add a button "Do Something" to your admin model interface

By adding ``FSM_ADMIN_FORCE_PERMIT = True`` to your configuration settings, the
above restriction becomes the default. Then one must explicitly allow that a
transition method shows up in the admin interface.

.. code:: python

   @transition(
       field='state',
       source=['startstate'],
       target='finalstate',
       custom=dict(admin=True),
   )
   def proceed(self):
       # will add a button "Proceed" to your admin model interface

This is useful, if most of your state transitions are handled by other means,
such as external events communicating with the API of your application.

=======
Credits
=======


Special thanks to gadventures_ for the django-fsm-admin_ library where we used some of his code in this repo.


.. _django-fsm: https://github.com/kmmbvnr/django-fsm
.. _gadventures: https://github.com/gadventures
.. _django-fsm-admin: https://github.com/gadventures/django-fsm-admin

******************
0.1.0 (2021-03-03)
******************

* First release on PyPI.
pycsou-gsp 1.0.0
Graph signal processing extensions for Pycsou.
License: MIT
Requires Python: >=3.6

.. image:: https://matthieumeo.github.io/pycsou/html/_images/pycsou.png
  :width: 50 %
  :align: center
  :target: https://github.com/matthieumeo/pycsou-gsp

.. image:: https://zenodo.org/badge/277582581.svg
   :target: https://zenodo.org/badge/latestdoi/277582581


*Pycsou-gsp* is the graph signal processing extension of the Python 3 package `Pycsou <https://github.com/matthieumeo/pycsou>`_ for solving linear inverse problems. The extension offers implementations of graph *convolution* and *differential* operators, compatible with Pycsou's interface for linear operators. Such tools can be useful when solving linear inverse problems involving signals defined on non Euclidean discrete manifolds.

Graphs in *Pycsou-gsp* are instances from the class ``pygsp.graphs.Graph`` from the `pygsp <https://github.com/epfl-lts2/pygsp>`_ library for graph signal processing with Python. 

Content
-------

The package is organised as follows:

1. The subpackage ``pycsou_gsp.linop`` implements the following common graph linear operators:
  
   * Graph convolution operators: ``GraphConvolution``
   * Graph differential operators: ``GraphLaplacian``, ``GraphGradient``, ``GeneralisedGraphLaplacian``.

2. The subpackage ``pycsou_gsp.tesselation`` provides routines for generating graphs from discrete tessellations of continuous manifolds such as the sphere.